mirror of
https://github.com/OpenBB-finance/OpenBB.git
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remove intrinio provider (#7575)
Remove the openbb-intrinio provider extension from the repository. Reason: proprietary vendor with no internal access to any endpoint; cannot build, develop or maintain.
This commit is contained in:
Danglewood
13
openbb_platform/providers/intrinio/README.md
vendored
13
openbb_platform/providers/intrinio/README.md
vendored
@@ -1,13 +0,0 @@
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# OpenBB Intrinio Provider
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This extension integrates the [Intrinio](https://intrinio.com/) data provider into the OpenBB Platform.
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## Installation
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To install the extension:
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```bash
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pip install openbb-intrinio
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```
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Documentation available [here](https://docs.openbb.co/platform/developer_guide/contributing).
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@@ -1 +0,0 @@
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"""Intrinio provider."""
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@@ -1,116 +0,0 @@
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"""Intrinio Provider Modules."""
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from openbb_core.provider.abstract.provider import Provider
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from openbb_intrinio.models.balance_sheet import IntrinioBalanceSheetFetcher
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from openbb_intrinio.models.calendar_ipo import IntrinioCalendarIpoFetcher
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from openbb_intrinio.models.cash_flow import IntrinioCashFlowStatementFetcher
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from openbb_intrinio.models.company_filings import IntrinioCompanyFilingsFetcher
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from openbb_intrinio.models.company_news import IntrinioCompanyNewsFetcher
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from openbb_intrinio.models.currency_pairs import IntrinioCurrencyPairsFetcher
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from openbb_intrinio.models.equity_historical import IntrinioEquityHistoricalFetcher
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from openbb_intrinio.models.equity_info import IntrinioEquityInfoFetcher
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from openbb_intrinio.models.equity_quote import IntrinioEquityQuoteFetcher
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from openbb_intrinio.models.equity_search import IntrinioEquitySearchFetcher
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from openbb_intrinio.models.etf_holdings import IntrinioEtfHoldingsFetcher
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from openbb_intrinio.models.etf_info import IntrinioEtfInfoFetcher
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from openbb_intrinio.models.etf_price_performance import (
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IntrinioEtfPricePerformanceFetcher,
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)
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from openbb_intrinio.models.etf_search import IntrinioEtfSearchFetcher
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from openbb_intrinio.models.financial_ratios import IntrinioFinancialRatiosFetcher
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from openbb_intrinio.models.forward_ebitda_estimates import (
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IntrinioForwardEbitdaEstimatesFetcher,
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)
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from openbb_intrinio.models.forward_eps_estimates import (
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IntrinioForwardEpsEstimatesFetcher,
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)
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from openbb_intrinio.models.forward_pe_estimates import (
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IntrinioForwardPeEstimatesFetcher,
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)
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from openbb_intrinio.models.forward_sales_estimates import (
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IntrinioForwardSalesEstimatesFetcher,
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)
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from openbb_intrinio.models.fred_series import IntrinioFredSeriesFetcher
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from openbb_intrinio.models.historical_attributes import (
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IntrinioHistoricalAttributesFetcher,
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)
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from openbb_intrinio.models.historical_dividends import (
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IntrinioHistoricalDividendsFetcher,
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)
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from openbb_intrinio.models.historical_market_cap import (
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IntrinioHistoricalMarketCapFetcher,
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)
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from openbb_intrinio.models.income_statement import IntrinioIncomeStatementFetcher
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from openbb_intrinio.models.index_historical import IntrinioIndexHistoricalFetcher
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from openbb_intrinio.models.insider_trading import IntrinioInsiderTradingFetcher
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# from openbb_intrinio.models.institutional_ownership import (
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# IntrinioInstitutionalOwnershipFetcher,
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# )
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from openbb_intrinio.models.key_metrics import IntrinioKeyMetricsFetcher
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from openbb_intrinio.models.latest_attributes import IntrinioLatestAttributesFetcher
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from openbb_intrinio.models.market_snapshots import IntrinioMarketSnapshotsFetcher
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from openbb_intrinio.models.options_chains import IntrinioOptionsChainsFetcher
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from openbb_intrinio.models.options_snapshots import IntrinioOptionsSnapshotsFetcher
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from openbb_intrinio.models.options_unusual import IntrinioOptionsUnusualFetcher
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from openbb_intrinio.models.price_target_consensus import (
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IntrinioPriceTargetConsensusFetcher,
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)
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from openbb_intrinio.models.reported_financials import IntrinioReportedFinancialsFetcher
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from openbb_intrinio.models.search_attributes import (
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IntrinioSearchAttributesFetcher,
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)
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from openbb_intrinio.models.share_statistics import IntrinioShareStatisticsFetcher
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from openbb_intrinio.models.world_news import IntrinioWorldNewsFetcher
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intrinio_provider = Provider(
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name="intrinio",
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website="https://intrinio.com",
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description="""Intrinio is a financial data platform that provides real-time and
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historical financial market data to businesses and developers through an API.""",
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credentials=["api_key"],
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fetcher_dict={
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"BalanceSheet": IntrinioBalanceSheetFetcher,
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"CalendarIpo": IntrinioCalendarIpoFetcher,
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"CashFlowStatement": IntrinioCashFlowStatementFetcher,
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"CompanyFilings": IntrinioCompanyFilingsFetcher,
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"CompanyNews": IntrinioCompanyNewsFetcher,
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"CurrencyPairs": IntrinioCurrencyPairsFetcher,
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"EquityHistorical": IntrinioEquityHistoricalFetcher,
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"EquityInfo": IntrinioEquityInfoFetcher,
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"EquityQuote": IntrinioEquityQuoteFetcher,
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"EquitySearch": IntrinioEquitySearchFetcher,
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"EtfHistorical": IntrinioEquityHistoricalFetcher,
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"EtfHoldings": IntrinioEtfHoldingsFetcher,
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"EtfInfo": IntrinioEtfInfoFetcher,
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"EtfPricePerformance": IntrinioEtfPricePerformanceFetcher,
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"EtfSearch": IntrinioEtfSearchFetcher,
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"FinancialRatios": IntrinioFinancialRatiosFetcher,
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"ForwardEbitdaEstimates": IntrinioForwardEbitdaEstimatesFetcher,
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"ForwardEpsEstimates": IntrinioForwardEpsEstimatesFetcher,
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"ForwardPeEstimates": IntrinioForwardPeEstimatesFetcher,
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"ForwardSalesEstimates": IntrinioForwardSalesEstimatesFetcher,
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"FredSeries": IntrinioFredSeriesFetcher,
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"HistoricalAttributes": IntrinioHistoricalAttributesFetcher,
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"HistoricalDividends": IntrinioHistoricalDividendsFetcher,
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"HistoricalMarketCap": IntrinioHistoricalMarketCapFetcher,
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"IncomeStatement": IntrinioIncomeStatementFetcher,
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"IndexHistorical": IntrinioIndexHistoricalFetcher,
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"InsiderTrading": IntrinioInsiderTradingFetcher,
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# "InstitutionalOwnership": IntrinioInstitutionalOwnershipFetcher, # Disabled due to unreliable Intrinio endpoint
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"KeyMetrics": IntrinioKeyMetricsFetcher,
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"LatestAttributes": IntrinioLatestAttributesFetcher,
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"MarketSnapshots": IntrinioMarketSnapshotsFetcher,
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"OptionsChains": IntrinioOptionsChainsFetcher,
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"OptionsSnapshots": IntrinioOptionsSnapshotsFetcher,
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"OptionsUnusual": IntrinioOptionsUnusualFetcher,
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"PriceTargetConsensus": IntrinioPriceTargetConsensusFetcher,
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"ReportedFinancials": IntrinioReportedFinancialsFetcher,
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"SearchAttributes": IntrinioSearchAttributesFetcher,
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"ShareStatistics": IntrinioShareStatisticsFetcher,
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"WorldNews": IntrinioWorldNewsFetcher,
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},
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repr_name="Intrinio",
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deprecated_credentials={"API_INTRINIO_KEY": "intrinio_api_key"},
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instructions="Go to: https://intrinio.com/starter-plan\n\n\n\nAn API key will be issued with a subscription. Find the token value within the account dashboard.", # noqa: E501 pylint: disable=line-too-long
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)
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"""Intrinio models directory."""
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@@ -1,500 +0,0 @@
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"""Intrinio Balance Sheet Model."""
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# pylint: disable=unused-argument
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from typing import Any, Literal
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from warnings import warn
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from openbb_core.provider.abstract.fetcher import Fetcher
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from openbb_core.provider.standard_models.balance_sheet import (
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BalanceSheetData,
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BalanceSheetQueryParams,
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)
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from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
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from openbb_core.provider.utils.helpers import ClientResponse, amake_requests
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from openbb_intrinio.utils.helpers import get_data_one
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from pydantic import Field, field_validator, model_validator
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class IntrinioBalanceSheetQueryParams(BalanceSheetQueryParams):
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"""Intrinio Balance Sheet Query.
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Source: https://docs.intrinio.com/documentation/web_api/get_company_fundamentals_v2
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Source: https://docs.intrinio.com/documentation/web_api/get_fundamental_standardized_financials_v2
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"""
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__json_schema_extra__ = {
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"period": {
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"choices": ["annual", "quarter"],
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}
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}
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period: Literal["annual", "quarter"] = Field(
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default="annual",
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description=QUERY_DESCRIPTIONS.get("period", ""),
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)
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fiscal_year: int | None = Field(
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default=None,
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description="The specific fiscal year. Reports do not go beyond 2008.",
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)
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@field_validator("symbol", mode="after", check_fields=False)
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@classmethod
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def handle_symbol(cls, v) -> str:
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"""Handle symbols with a dash and replace it with a dot for Intrinio."""
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return v.replace("-", ".")
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class IntrinioBalanceSheetData(BalanceSheetData):
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"""Intrinio Balance Sheet Data."""
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__alias_dict__ = {
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"cash_and_cash_equivalents": "cashandequivalents",
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"restricted_cash": "restrictedcash",
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"short_term_investments": "shortterminvestments",
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"federal_funds_sold": "fedfundssold",
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"note_and_lease_receivable": "notereceivable",
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"interest_bearing_deposits_at_other_banks": "interestbearingdepositsatotherbanks",
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"accounts_receivable": "accountsreceivable",
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"time_deposits_placed_and_other_short_term_investments": "timedepositsplaced",
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"inventories": "netinventory",
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"trading_account_securities": "tradingaccountsecurities",
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"prepaid_expenses": "prepaidexpenses",
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"loans_and_leases": "loansandleases",
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"allowance_for_loan_and_lease_losses": "allowanceforloanandleaselosses",
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"current_deferred_refundable_income_taxes": "currentdeferredtaxassets",
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"other_current_assets": "othercurrentassets",
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"loans_and_leases_net_of_allowance": "netloansandleases",
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"other_current_non_operating_assets": "othercurrentnonoperatingassets",
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"loans_held_for_sale": "loansheldforsale",
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"total_current_assets": "totalcurrentassets",
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"accrued_investment_income": "accruedinvestmentincome",
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"plant_property_equipment_gross": "grossppe",
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"customer_and_other_receivables": "customerandotherreceivables",
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"accumulated_depreciation": "accumulateddepreciation",
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"premises_and_equipment_net": "netpremisesandequipment",
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"plant_property_equipment_net": "netppe",
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"mortgage_servicing_rights": "mortgageservicingrights",
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"long_term_investments": "longterminvestments",
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"unearned_premiums_asset": "unearnedpremiumsdebit",
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"non_current_note_lease_receivables": "noncurrentnotereceivables",
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"deferred_acquisition_cost": "deferredacquisitioncost",
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"goodwill": "goodwill",
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"separate_account_business_assets": "separateaccountbusinessassets",
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"intangible_assets": "intangibleassets",
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"non_current_deferred_refundable_income_taxes": "noncurrentdeferredtaxassets",
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"employee_benefit_assets": "employeebenefitassets",
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"other_assets": "otherassets",
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"other_non_current_operating_assets": "othernoncurrentassets",
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"total_assets": "totalassets",
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"other_non_current_non_operating_assets": "othernoncurrentnonoperatingassets",
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"non_interest_bearing_deposits": "noninterestbearingdeposits",
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"interest_bearing_deposits": "interestbearingdeposits",
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"total_non_current_assets": "totalnoncurrentassets",
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"federal_funds_purchased_and_securities_sold": "fedfundspurchased",
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"short_term_debt": "shorttermdebt",
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"bankers_acceptance_out_standing": "bankersacceptances",
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"accrued_interest_payable": "accruedinterestpayable",
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"accounts_payable": "accountspayable",
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"accrued_expenses": "accruedexpenses",
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"other_short_term_payables": "othershorttermpayables",
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"long_term_debt": "longtermdebt",
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"customer_deposits": "customerdeposits",
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"capital_lease_obligations": "capitalleaseobligations",
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"dividends_payable": "dividendspayable",
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"claims_and_claim_expense": "claimsandclaimexpenses",
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"current_deferred_revenue": "currentdeferredrevenue",
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"future_policy_benefits": "futurepolicybenefits",
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"current_deferred_payable_income_tax_liabilities": "currentdeferredtaxliabilities",
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"current_employee_benefit_liabilities": "currentemployeebenefitliabilities",
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"unearned_premiums_liability": "unearnedpremiumscredit",
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"other_taxes_payable": "othertaxespayable",
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"policy_holder_funds": "policyholderfunds",
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"other_current_liabilities": "othercurrentliabilities",
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"participating_policy_holder_equity": "participatingpolicyholderequity",
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"other_current_non_operating_liabilities": "othercurrentnonoperatingliabilities",
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"separate_account_business_liabilities": "separateaccountbusinessliabilities",
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"total_current_liabilities": "totalcurrentliabilities",
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"other_long_term_liabilities": "otherlongtermliabilities",
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"total_liabilities": "totalliabilities",
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"commitments_contingencies": "commitmentsandcontingencies",
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"asset_retirement_reserve_litigation_obligation": "assetretirementandlitigationobligation",
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"redeemable_non_controlling_interest": "redeemablenoncontrollinginterest",
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"non_current_deferred_revenue": "noncurrentdeferredrevenue",
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"preferred_stock": "totalpreferredequity",
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"common_stock": "commonequity",
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"non_current_deferred_payable_income_tax_liabilities": "noncurrentdeferredtaxliabilities",
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"non_current_employee_benefit_liabilities": "noncurrentemployeebenefitliabilities",
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"retained_earnings": "retainedearnings",
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"other_non_current_operating_liabilities": "othernoncurrentliabilities",
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"treasury_stock": "treasurystock",
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"accumulated_other_comprehensive_income": "aoci",
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"other_non_current_non_operating_liabilities": "othernoncurrentnonoperatingliabilities",
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"other_equity_adjustments": "otherequity",
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"total_non_current_liabilities": "totalnoncurrentliabilities",
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"total_common_equity": "totalcommonequity",
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"total_preferred_common_equity": "totalequity",
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"non_controlling_interest": "noncontrollinginterests",
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"total_equity_non_controlling_interests": "totalequityandnoncontrollinginterests",
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"total_liabilities_shareholders_equity": "totalliabilitiesandequity",
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}
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reported_currency: str | None = Field(
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description="The currency in which the balance sheet is reported.",
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default=None,
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)
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cash_and_cash_equivalents: float | None = Field(
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description="Cash and cash equivalents.", default=None
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)
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cash_and_due_from_banks: float | None = Field(
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description="Cash and due from banks.", default=None
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)
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restricted_cash: float | None = Field(description="Restricted cash.", default=None)
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short_term_investments: float | None = Field(
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description="Short term investments.", default=None
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)
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federal_funds_sold: float | None = Field(
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description="Federal funds sold.", default=None
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)
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accounts_receivable: float | None = Field(
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description="Accounts receivable.", default=None
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)
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note_and_lease_receivable: float | None = Field(
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description="Note and lease receivable. (Vendor non-trade receivables)",
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default=None,
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)
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inventories: float | None = Field(description="Net Inventories.", default=None)
|
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customer_and_other_receivables: float | None = Field(
|
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description="Customer and other receivables.", default=None
|
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)
|
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interest_bearing_deposits_at_other_banks: float | None = Field(
|
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description="Interest bearing deposits at other banks.", default=None
|
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)
|
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time_deposits_placed_and_other_short_term_investments: float | None = Field(
|
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description="Time deposits placed and other short term investments.",
|
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default=None,
|
||||
)
|
||||
trading_account_securities: float | None = Field(
|
||||
description="Trading account securities.", default=None
|
||||
)
|
||||
loans_and_leases: float | None = Field(
|
||||
description="Loans and leases.", default=None
|
||||
)
|
||||
allowance_for_loan_and_lease_losses: float | None = Field(
|
||||
description="Allowance for loan and lease losses.", default=None
|
||||
)
|
||||
current_deferred_refundable_income_taxes: float | None = Field(
|
||||
description="Current deferred refundable income taxes.", default=None
|
||||
)
|
||||
other_current_assets: float | None = Field(
|
||||
description="Other current assets.", default=None
|
||||
)
|
||||
loans_and_leases_net_of_allowance: float | None = Field(
|
||||
description="Loans and leases net of allowance.", default=None
|
||||
)
|
||||
accrued_investment_income: float | None = Field(
|
||||
description="Accrued investment income.", default=None
|
||||
)
|
||||
other_current_non_operating_assets: float | None = Field(
|
||||
description="Other current non-operating assets.", default=None
|
||||
)
|
||||
loans_held_for_sale: float | None = Field(
|
||||
description="Loans held for sale.", default=None
|
||||
)
|
||||
prepaid_expenses: float | None = Field(
|
||||
description="Prepaid expenses.", default=None
|
||||
)
|
||||
total_current_assets: float | None = Field(
|
||||
description="Total current assets.", default=None
|
||||
)
|
||||
plant_property_equipment_gross: float | None = Field(
|
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description="Plant property equipment gross.", default=None
|
||||
)
|
||||
accumulated_depreciation: float | None = Field(
|
||||
description="Accumulated depreciation.", default=None
|
||||
)
|
||||
premises_and_equipment_net: float | None = Field(
|
||||
description="Net premises and equipment.", default=None
|
||||
)
|
||||
plant_property_equipment_net: float | None = Field(
|
||||
description="Net plant property equipment.", default=None
|
||||
)
|
||||
long_term_investments: float | None = Field(
|
||||
description="Long term investments.", default=None
|
||||
)
|
||||
mortgage_servicing_rights: float | None = Field(
|
||||
description="Mortgage servicing rights.", default=None
|
||||
)
|
||||
unearned_premiums_asset: float | None = Field(
|
||||
description="Unearned premiums asset.", default=None
|
||||
)
|
||||
non_current_note_lease_receivables: float | None = Field(
|
||||
description="Non-current note lease receivables.", default=None
|
||||
)
|
||||
deferred_acquisition_cost: float | None = Field(
|
||||
description="Deferred acquisition cost.", default=None
|
||||
)
|
||||
goodwill: float | None = Field(description="Goodwill.", default=None)
|
||||
separate_account_business_assets: float | None = Field(
|
||||
description="Separate account business assets.", default=None
|
||||
)
|
||||
non_current_deferred_refundable_income_taxes: float | None = Field(
|
||||
description="Noncurrent deferred refundable income taxes.", default=None
|
||||
)
|
||||
intangible_assets: float | None = Field(
|
||||
description="Intangible assets.", default=None
|
||||
)
|
||||
employee_benefit_assets: float | None = Field(
|
||||
description="Employee benefit assets.", default=None
|
||||
)
|
||||
other_assets: float | None = Field(description="Other assets.", default=None)
|
||||
other_non_current_operating_assets: float | None = Field(
|
||||
description="Other noncurrent operating assets.", default=None
|
||||
)
|
||||
other_non_current_non_operating_assets: float | None = Field(
|
||||
description="Other noncurrent non-operating assets.", default=None
|
||||
)
|
||||
interest_bearing_deposits: float | None = Field(
|
||||
description="Interest bearing deposits.", default=None
|
||||
)
|
||||
total_non_current_assets: float | None = Field(
|
||||
description="Total noncurrent assets.", default=None
|
||||
)
|
||||
total_assets: float | None = Field(description="Total assets.", default=None)
|
||||
non_interest_bearing_deposits: float | None = Field(
|
||||
description="Non interest bearing deposits.", default=None
|
||||
)
|
||||
federal_funds_purchased_and_securities_sold: float | None = Field(
|
||||
description="Federal funds purchased and securities sold.", default=None
|
||||
)
|
||||
bankers_acceptance_outstanding: float | None = Field(
|
||||
description="Bankers acceptance outstanding.", default=None
|
||||
)
|
||||
short_term_debt: float | None = Field(description="Short term debt.", default=None)
|
||||
accounts_payable: float | None = Field(
|
||||
description="Accounts payable.", default=None
|
||||
)
|
||||
current_deferred_revenue: float | None = Field(
|
||||
description="Current deferred revenue.", default=None
|
||||
)
|
||||
current_deferred_payable_income_tax_liabilities: float | None = Field(
|
||||
description="Current deferred payable income tax liabilities.", default=None
|
||||
)
|
||||
accrued_interest_payable: float | None = Field(
|
||||
description="Accrued interest payable.", default=None
|
||||
)
|
||||
accrued_expenses: float | None = Field(
|
||||
description="Accrued expenses.", default=None
|
||||
)
|
||||
other_short_term_payables: float | None = Field(
|
||||
description="Other short term payables.", default=None
|
||||
)
|
||||
customer_deposits: float | None = Field(
|
||||
description="Customer deposits.", default=None
|
||||
)
|
||||
dividends_payable: float | None = Field(
|
||||
description="Dividends payable.", default=None
|
||||
)
|
||||
claims_and_claim_expense: float | None = Field(
|
||||
description="Claims and claim expense.", default=None
|
||||
)
|
||||
future_policy_benefits: float | None = Field(
|
||||
description="Future policy benefits.", default=None
|
||||
)
|
||||
current_employee_benefit_liabilities: float | None = Field(
|
||||
description="Current employee benefit liabilities.", default=None
|
||||
)
|
||||
unearned_premiums_liability: float | None = Field(
|
||||
description="Unearned premiums liability.", default=None
|
||||
)
|
||||
other_taxes_payable: float | None = Field(
|
||||
description="Other taxes payable.", default=None
|
||||
)
|
||||
policy_holder_funds: float | None = Field(
|
||||
description="Policy holder funds.", default=None
|
||||
)
|
||||
other_current_liabilities: float | None = Field(
|
||||
description="Other current liabilities.", default=None
|
||||
)
|
||||
other_current_non_operating_liabilities: float | None = Field(
|
||||
description="Other current non-operating liabilities.", default=None
|
||||
)
|
||||
separate_account_business_liabilities: float | None = Field(
|
||||
description="Separate account business liabilities.", default=None
|
||||
)
|
||||
total_current_liabilities: float | None = Field(
|
||||
description="Total current liabilities.", default=None
|
||||
)
|
||||
long_term_debt: float | None = Field(description="Long term debt.", default=None)
|
||||
other_long_term_liabilities: float | None = Field(
|
||||
description="Other long term liabilities.", default=None
|
||||
)
|
||||
non_current_deferred_revenue: float | None = Field(
|
||||
description="Non-current deferred revenue.", default=None
|
||||
)
|
||||
non_current_deferred_payable_income_tax_liabilities: float | None = Field(
|
||||
description="Non-current deferred payable income tax liabilities.", default=None
|
||||
)
|
||||
non_current_employee_benefit_liabilities: float | None = Field(
|
||||
description="Non-current employee benefit liabilities.", default=None
|
||||
)
|
||||
other_non_current_operating_liabilities: float | None = Field(
|
||||
description="Other non-current operating liabilities.", default=None
|
||||
)
|
||||
other_non_current_non_operating_liabilities: float | None = Field(
|
||||
description="Other non-current, non-operating liabilities.", default=None
|
||||
)
|
||||
total_non_current_liabilities: float | None = Field(
|
||||
description="Total non-current liabilities.", default=None
|
||||
)
|
||||
capital_lease_obligations: float | None = Field(
|
||||
description="Capital lease obligations.", default=None
|
||||
)
|
||||
asset_retirement_reserve_litigation_obligation: float | None = Field(
|
||||
description="Asset retirement reserve litigation obligation.", default=None
|
||||
)
|
||||
total_liabilities: float | None = Field(
|
||||
description="Total liabilities.", default=None
|
||||
)
|
||||
commitments_contingencies: float | None = Field(
|
||||
description="Commitments contingencies.", default=None
|
||||
)
|
||||
redeemable_non_controlling_interest: float | None = Field(
|
||||
description="Redeemable non-controlling interest.", default=None
|
||||
)
|
||||
preferred_stock: float | None = Field(description="Preferred stock.", default=None)
|
||||
common_stock: float | None = Field(description="Common stock.", default=None)
|
||||
retained_earnings: float | None = Field(
|
||||
description="Retained earnings.", default=None
|
||||
)
|
||||
treasury_stock: float | None = Field(description="Treasury stock.", default=None)
|
||||
accumulated_other_comprehensive_income: float | None = Field(
|
||||
description="Accumulated other comprehensive income.", default=None
|
||||
)
|
||||
participating_policy_holder_equity: float | None = Field(
|
||||
description="Participating policy holder equity.", default=None
|
||||
)
|
||||
other_equity_adjustments: float | None = Field(
|
||||
description="Other equity adjustments.", default=None
|
||||
)
|
||||
total_common_equity: float | None = Field(
|
||||
description="Total common equity.", default=None
|
||||
)
|
||||
total_preferred_common_equity: float | None = Field(
|
||||
description="Total preferred common equity.", default=None
|
||||
)
|
||||
non_controlling_interest: float | None = Field(
|
||||
description="Non-controlling interest.", default=None
|
||||
)
|
||||
total_equity_non_controlling_interests: float | None = Field(
|
||||
description="Total equity non-controlling interests.", default=None
|
||||
)
|
||||
total_liabilities_shareholders_equity: float | None = Field(
|
||||
description="Total liabilities and shareholders equity.", default=None
|
||||
)
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def replace_zero(cls, values): # pylint: disable=no-self-argument
|
||||
"""Check for zero values and replace with None."""
|
||||
return (
|
||||
{k: None if v == 0 else v for k, v in values.items()}
|
||||
if isinstance(values, dict)
|
||||
else values
|
||||
)
|
||||
|
||||
|
||||
class IntrinioBalanceSheetFetcher(
|
||||
Fetcher[
|
||||
IntrinioBalanceSheetQueryParams,
|
||||
list[IntrinioBalanceSheetData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioBalanceSheetQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioBalanceSheetQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioBalanceSheetQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
statement_code = "balance_sheet_statement"
|
||||
fundamentals_data: dict = {}
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
period = "FY" if query.period == "annual" else "QTR"
|
||||
fundamentals_url = (
|
||||
f"{base_url}/companies/{query.symbol}"
|
||||
f"/fundamentals?statement_code={statement_code}&type={period}"
|
||||
)
|
||||
if query.fiscal_year is not None:
|
||||
if query.fiscal_year < 2008:
|
||||
warn("Financials data is only available from 2008 and later.")
|
||||
query.fiscal_year = 2008
|
||||
fundamentals_url = fundamentals_url + f"&fiscal_year={query.fiscal_year}"
|
||||
fundamentals_url = fundamentals_url + f"&api_key={api_key}"
|
||||
fundamentals_data = (await get_data_one(fundamentals_url, **kwargs)).get(
|
||||
"fundamentals", []
|
||||
)
|
||||
fiscal_periods = [
|
||||
f"{item['fiscal_year']}-{item['fiscal_period']}"
|
||||
for item in fundamentals_data
|
||||
]
|
||||
fiscal_periods = fiscal_periods[: query.limit]
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
statement_data = await response.json() # type: ignore
|
||||
return {
|
||||
"period_ending": statement_data["fundamental"]["end_date"], # type: ignore
|
||||
"fiscal_year": statement_data["fundamental"]["fiscal_year"], # type: ignore
|
||||
"fiscal_period": statement_data["fundamental"]["fiscal_period"], # type: ignore
|
||||
"financials": statement_data["standardized_financials"], # type: ignore
|
||||
}
|
||||
|
||||
urls = [
|
||||
f"{base_url}/fundamentals/{query.symbol}-{statement_code}-{p}/standardized_financials?api_key={api_key}"
|
||||
for p in fiscal_periods
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioBalanceSheetQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioBalanceSheetData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[IntrinioBalanceSheetData] = []
|
||||
period = "FY" if query.period == "annual" else "QTR"
|
||||
units = []
|
||||
for item in data:
|
||||
sub_dict: dict[str, Any] = {}
|
||||
|
||||
for sub_item in item["financials"]:
|
||||
field_name = sub_item["data_tag"]["tag"]
|
||||
unit = sub_item["data_tag"].get("unit", "")
|
||||
if unit and len(unit) == 3:
|
||||
units.append(unit)
|
||||
sub_dict[field_name] = (
|
||||
float(sub_item["value"])
|
||||
if sub_item["value"] and sub_item["value"] != 0
|
||||
else None
|
||||
)
|
||||
|
||||
sub_dict["period_ending"] = item["period_ending"]
|
||||
sub_dict["fiscal_year"] = item["fiscal_year"]
|
||||
sub_dict["fiscal_period"] = item["fiscal_period"]
|
||||
sub_dict["reported_currency"] = list(set(units))[0]
|
||||
|
||||
# Intrinio does not return Q4 data but FY data instead
|
||||
if period == "QTR" and item["fiscal_period"] == "FY":
|
||||
sub_dict["fiscal_period"] = "Q4"
|
||||
|
||||
transformed_data.append(IntrinioBalanceSheetData(**sub_dict))
|
||||
|
||||
return transformed_data
|
||||
@@ -1,192 +0,0 @@
|
||||
"""Intrinio IPO Calendar Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any, Literal
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.calendar_ipo import (
|
||||
CalendarIpoData,
|
||||
CalendarIpoQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from openbb_intrinio.utils.references import IntrinioCompany, IntrinioSecurity
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioCalendarIpoQueryParams(CalendarIpoQueryParams):
|
||||
"""Intrinio IPO Calendar Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_ipos_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
"limit": "page_size",
|
||||
"min_value": "offer_amount_greater_than",
|
||||
"max_value": "offer_amount_less_than",
|
||||
}
|
||||
|
||||
status: Literal["upcoming", "priced", "withdrawn"] | None = Field(
|
||||
description="Status of the IPO. [upcoming, priced, or withdrawn]", default=None
|
||||
)
|
||||
min_value: int | None = Field(
|
||||
description="Return IPOs with an offer dollar amount greater than the given amount.",
|
||||
default=None,
|
||||
)
|
||||
max_value: int | None = Field(
|
||||
description="Return IPOs with an offer dollar amount less than the given amount.",
|
||||
default=None,
|
||||
)
|
||||
|
||||
|
||||
class IntrinioCalendarIpoData(CalendarIpoData):
|
||||
"""Intrinio IPO Calendar Data."""
|
||||
|
||||
__alias_dict__ = {"symbol": "ticker", "ipo_date": "date"}
|
||||
|
||||
status: Literal["upcoming", "priced", "withdrawn"] | None = Field(
|
||||
description=(
|
||||
"The status of the IPO. Upcoming IPOs have not taken place yet but are expected to. "
|
||||
"Priced IPOs have taken place. Withdrawn IPOs were expected to take place, but were subsequently withdrawn."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
exchange: str | None = Field(
|
||||
description=(
|
||||
"The acronym of the stock exchange that the company is going to trade publicly on. Typically NYSE or NASDAQ."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
offer_amount: float | None = Field(
|
||||
description="The total dollar amount of shares offered in the IPO. Typically this is share price * share count",
|
||||
default=None,
|
||||
)
|
||||
share_price: float | None = Field(
|
||||
description="The price per share at which the IPO was offered.", default=None
|
||||
)
|
||||
share_price_lowest: float | None = Field(
|
||||
description=(
|
||||
"The expected lowest price per share at which the IPO will be offered. "
|
||||
"Before an IPO is priced, companies typically provide a range of prices per share at which "
|
||||
"they expect to offer the IPO (typically available for upcoming IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
share_price_highest: float | None = Field(
|
||||
description=(
|
||||
"The expected highest price per share at which the IPO will be offered. "
|
||||
"Before an IPO is priced, companies typically provide a range of prices per share at which "
|
||||
"they expect to offer the IPO (typically available for upcoming IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
share_count: int | None = Field(
|
||||
description="The number of shares offered in the IPO.", default=None
|
||||
)
|
||||
share_count_lowest: int | None = Field(
|
||||
description=(
|
||||
"The expected lowest number of shares that will be offered in the IPO. Before an IPO is priced, "
|
||||
"companies typically provide a range of shares that they expect to offer in the IPO "
|
||||
"(typically available for upcoming IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
share_count_highest: int | None = Field(
|
||||
description=(
|
||||
"The expected highest number of shares that will be offered in the IPO. Before an IPO is priced, "
|
||||
"companies typically provide a range of shares that they expect to offer in the IPO "
|
||||
"(typically available for upcoming IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
announcement_url: str | None = Field(
|
||||
description="The URL to the company's announcement of the IPO", default=None
|
||||
)
|
||||
sec_report_url: str | None = Field(
|
||||
description=(
|
||||
"The URL to the company's S-1, S-1/A, F-1, or F-1/A SEC filing, which is required to be filed "
|
||||
"before an IPO takes place."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
open_price: float | None = Field(
|
||||
description="The opening price at the beginning of the first trading day (only available for priced IPOs).",
|
||||
default=None,
|
||||
)
|
||||
close_price: float | None = Field(
|
||||
description="The closing price at the end of the first trading day (only available for priced IPOs).",
|
||||
default=None,
|
||||
)
|
||||
volume: int | None = Field(
|
||||
description="The volume at the end of the first trading day (only available for priced IPOs).",
|
||||
default=None,
|
||||
)
|
||||
day_change: float | None = Field(
|
||||
description=(
|
||||
"The percentage change between the open price and the close price on the first trading day "
|
||||
"(only available for priced IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
week_change: float | None = Field(
|
||||
description=(
|
||||
"The percentage change between the open price on the first trading day and the close price approximately "
|
||||
"a week after the first trading day (only available for priced IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
month_change: float | None = Field(
|
||||
description=(
|
||||
"The percentage change between the open price on the first trading day and the close price approximately "
|
||||
"a month after the first trading day (only available for priced IPOs)."
|
||||
),
|
||||
default=None,
|
||||
)
|
||||
id: str | None = Field(description="The Intrinio ID of the IPO.", default=None)
|
||||
company: IntrinioCompany | None = Field(
|
||||
description="The company that is going public via the IPO.", default=None
|
||||
)
|
||||
security: IntrinioSecurity | None = Field(
|
||||
description="The primary Security for the Company that is going public via the IPO",
|
||||
default=None,
|
||||
)
|
||||
|
||||
|
||||
class IntrinioCalendarIpoFetcher(
|
||||
Fetcher[IntrinioCalendarIpoQueryParams, list[IntrinioCalendarIpoData]]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioCalendarIpoQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioCalendarIpoQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioCalendarIpoQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies/ipos"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), [])
|
||||
url = f"{base_url}?{query_str}&api_key={api_key}"
|
||||
|
||||
data = await get_data_one(url, **kwargs)
|
||||
|
||||
return data.get("initial_public_offerings", [])
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioCalendarIpoQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioCalendarIpoData]:
|
||||
"""Return the transformed data."""
|
||||
if not data:
|
||||
raise EmptyDataError("The request was returned empty.")
|
||||
return [IntrinioCalendarIpoData.model_validate(d) for d in data]
|
||||
@@ -1,336 +0,0 @@
|
||||
"""Intrinio Cash Flow Statement Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.cash_flow import (
|
||||
CashFlowStatementData,
|
||||
CashFlowStatementQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import ClientResponse, amake_requests
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from pydantic import Field, field_validator, model_validator
|
||||
|
||||
|
||||
class IntrinioCashFlowStatementQueryParams(CashFlowStatementQueryParams):
|
||||
"""Intrinio Cash Flow Statement Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_fundamentals_v2
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_fundamental_standardized_financials_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"period": {
|
||||
"choices": ["annual", "quarter", "ttm", "ytd"],
|
||||
}
|
||||
}
|
||||
|
||||
period: Literal["annual", "quarter", "ttm", "ytd"] = Field(
|
||||
default="annual",
|
||||
description=QUERY_DESCRIPTIONS.get("period", ""),
|
||||
)
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The specific fiscal year. Reports do not go beyond 2008.",
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="after", check_fields=False)
|
||||
@classmethod
|
||||
def handle_symbol(cls, v) -> str:
|
||||
"""Handle symbols with a dash and replace it with a dot for Intrinio."""
|
||||
return v.replace("-", ".")
|
||||
|
||||
|
||||
class IntrinioCashFlowStatementData(CashFlowStatementData):
|
||||
"""Intrinio Cash Flow Statement Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"cash_and_equivalents": "cashandequivalents",
|
||||
"acquisitions": "acquisitions",
|
||||
"amortization_expense": "amortizationexpense",
|
||||
"cash_income_taxes_paid": "cashincometaxespaid",
|
||||
"cash_interest_paid": "cashinterestpaid",
|
||||
"cash_interest_received": "cashinterestreceived",
|
||||
"depreciation_expense": "depreciationexpense",
|
||||
"divestitures": "divestitures",
|
||||
"effect_of_exchange_rate_changes": "effectofexchangeratechanges",
|
||||
"changes_in_operating_assets_and_liabilities": "increasedecreaseinoperatingcapital",
|
||||
"issuance_of_common_equity": "issuanceofcommonequity",
|
||||
"issuance_of_debt": "issuanceofdebt",
|
||||
"issuance_of_preferred_equity": "issuanceofpreferredequity",
|
||||
"loans_held_for_sale": "loansheldforsalenet",
|
||||
"net_cash_from_continuing_financing_activities": "netcashfromcontinuingfinancingactivities",
|
||||
"net_cash_from_continuing_investing_activities": "netcashfromcontinuinginvestingactivities",
|
||||
"net_cash_from_continuing_operating_activities": "netcashfromcontinuingoperatingactivities",
|
||||
"net_cash_from_discontinued_financing_activities": "netcashfromdiscontinuedfinancingactivities",
|
||||
"net_cash_from_discontinued_investing_activities": "netcashfromdiscontinuedinvestingactivities",
|
||||
"net_cash_from_discontinued_operating_activities": "netcashfromdiscontinuedoperatingactivities",
|
||||
"net_cash_from_financing_activities": "netcashfromfinancingactivities",
|
||||
"net_cash_from_investing_activities": "netcashfrominvestingactivities",
|
||||
"net_cash_from_operating_activities": "netcashfromoperatingactivities",
|
||||
"net_change_in_cash_and_equivalents": "netchangeincash",
|
||||
"net_change_in_deposits": "netchangeindeposits",
|
||||
"net_income": "netincome",
|
||||
"net_income_continuing_operations": "netincomecontinuing",
|
||||
"net_income_discontinued_operations": "netincomediscontinued",
|
||||
"net_increase_in_fed_funds_sold": "netincreaseinfedfundssold",
|
||||
"non_cash_adjustments_to_reconcile_net_income": "noncashadjustmentstonetincome",
|
||||
"other_financing_activities": "otherfinancingactivitiesnet",
|
||||
"other_investing_activities": "otherinvestingactivitiesnet",
|
||||
"other_net_changes_in_cash": "othernetchangesincash",
|
||||
"payment_of_dividends": "paymentofdividends",
|
||||
"provision_for_loan_losses": "provisionforloanlosses",
|
||||
"purchase_of_investments": "purchaseofinvestments",
|
||||
"purchase_of_investment_securities": "purchaseofinvestments",
|
||||
"purchase_of_property_plant_and_equipment": "purchaseofplantpropertyandequipment",
|
||||
"repayment_of_debt": "repaymentofdebt",
|
||||
"repurchase_of_common_equity": "repurchaseofcommonequity",
|
||||
"repurchase_of_preferred_equity": "repurchaseofpreferredequity",
|
||||
"sale_and_maturity_of_investments": "saleofinvestments",
|
||||
"sale_of_property_plant_and_equipment": "saleofplantpropertyandequipment",
|
||||
}
|
||||
|
||||
reported_currency: str | None = Field(
|
||||
description="The currency in which the balance sheet is reported.",
|
||||
default=None,
|
||||
)
|
||||
net_income_continuing_operations: float | None = Field(
|
||||
default=None, description="Net Income (Continuing Operations)"
|
||||
)
|
||||
net_income_discontinued_operations: float | None = Field(
|
||||
default=None, description="Net Income (Discontinued Operations)"
|
||||
)
|
||||
net_income: float | None = Field(
|
||||
default=None, description="Consolidated Net Income."
|
||||
)
|
||||
provision_for_loan_losses: float | None = Field(
|
||||
default=None, description="Provision for Loan Losses"
|
||||
)
|
||||
provision_for_credit_losses: float | None = Field(
|
||||
default=None, description="Provision for credit losses"
|
||||
)
|
||||
depreciation_expense: float | None = Field(
|
||||
default=None, description="Depreciation Expense."
|
||||
)
|
||||
amortization_expense: float | None = Field(
|
||||
default=None, description="Amortization Expense."
|
||||
)
|
||||
share_based_compensation: float | None = Field(
|
||||
default=None, description="Share-based compensation."
|
||||
)
|
||||
non_cash_adjustments_to_reconcile_net_income: float | None = Field(
|
||||
default=None, description="Non-Cash Adjustments to Reconcile Net Income."
|
||||
)
|
||||
changes_in_operating_assets_and_liabilities: float | None = Field(
|
||||
default=None, description="Changes in Operating Assets and Liabilities (Net)"
|
||||
)
|
||||
net_cash_from_continuing_operating_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Continuing Operating Activities"
|
||||
)
|
||||
net_cash_from_discontinued_operating_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Discontinued Operating Activities"
|
||||
)
|
||||
net_cash_from_operating_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Operating Activities"
|
||||
)
|
||||
divestitures: float | None = Field(default=None, description="Divestitures")
|
||||
sale_of_property_plant_and_equipment: float | None = Field(
|
||||
default=None, description="Sale of Property, Plant, and Equipment"
|
||||
)
|
||||
acquisitions: float | None = Field(default=None, description="Acquisitions")
|
||||
purchase_of_investments: float | None = Field(
|
||||
default=None, description="Purchase of Investments"
|
||||
)
|
||||
purchase_of_investment_securities: float | None = Field(
|
||||
default=None, description="Purchase of Investment Securities"
|
||||
)
|
||||
sale_and_maturity_of_investments: float | None = Field(
|
||||
default=None, description="Sale and Maturity of Investments"
|
||||
)
|
||||
loans_held_for_sale: float | None = Field(
|
||||
default=None, description="Loans Held for Sale (Net)"
|
||||
)
|
||||
purchase_of_property_plant_and_equipment: float | None = Field(
|
||||
default=None, description="Purchase of Property, Plant, and Equipment"
|
||||
)
|
||||
other_investing_activities: float | None = Field(
|
||||
default=None, description="Other Investing Activities (Net)"
|
||||
)
|
||||
net_cash_from_continuing_investing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Continuing Investing Activities"
|
||||
)
|
||||
net_cash_from_discontinued_investing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Discontinued Investing Activities"
|
||||
)
|
||||
net_cash_from_investing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Investing Activities"
|
||||
)
|
||||
payment_of_dividends: float | None = Field(
|
||||
default=None, description="Payment of Dividends"
|
||||
)
|
||||
repurchase_of_common_equity: float | None = Field(
|
||||
default=None, description="Repurchase of Common Equity"
|
||||
)
|
||||
repurchase_of_preferred_equity: float | None = Field(
|
||||
default=None, description="Repurchase of Preferred Equity"
|
||||
)
|
||||
issuance_of_common_equity: float | None = Field(
|
||||
default=None, description="Issuance of Common Equity"
|
||||
)
|
||||
issuance_of_preferred_equity: float | None = Field(
|
||||
default=None, description="Issuance of Preferred Equity"
|
||||
)
|
||||
issuance_of_debt: float | None = Field(default=None, description="Issuance of Debt")
|
||||
repayment_of_debt: float | None = Field(
|
||||
default=None, description="Repayment of Debt"
|
||||
)
|
||||
other_financing_activities: float | None = Field(
|
||||
default=None, description="Other Financing Activities (Net)"
|
||||
)
|
||||
cash_interest_received: float | None = Field(
|
||||
default=None, description="Cash Interest Received"
|
||||
)
|
||||
net_change_in_deposits: float | None = Field(
|
||||
default=None, description="Net Change in Deposits"
|
||||
)
|
||||
net_increase_in_fed_funds_sold: float | None = Field(
|
||||
default=None, description="Net Increase in Fed Funds Sold"
|
||||
)
|
||||
net_cash_from_continuing_financing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Continuing Financing Activities"
|
||||
)
|
||||
net_cash_from_discontinued_financing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Discontinued Financing Activities"
|
||||
)
|
||||
net_cash_from_financing_activities: float | None = Field(
|
||||
default=None, description="Net Cash from Financing Activities"
|
||||
)
|
||||
effect_of_exchange_rate_changes: float | None = Field(
|
||||
default=None, description="Effect of Exchange Rate Changes"
|
||||
)
|
||||
other_net_changes_in_cash: float | None = Field(
|
||||
default=None, description="Other Net Changes in Cash"
|
||||
)
|
||||
net_change_in_cash_and_equivalents: float | None = Field(
|
||||
default=None, description="Net Change in Cash and Equivalents"
|
||||
)
|
||||
cash_income_taxes_paid: float | None = Field(
|
||||
default=None, description="Cash Income Taxes Paid"
|
||||
)
|
||||
cash_interest_paid: float | None = Field(
|
||||
default=None, description="Cash Interest Paid"
|
||||
)
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def replace_zero(cls, values):
|
||||
"""Check for zero values and replace with None."""
|
||||
return (
|
||||
{k: None if v == 0 else v for k, v in values.items()}
|
||||
if isinstance(values, dict)
|
||||
else values
|
||||
)
|
||||
|
||||
|
||||
class IntrinioCashFlowStatementFetcher(
|
||||
Fetcher[
|
||||
IntrinioCashFlowStatementQueryParams,
|
||||
list[IntrinioCashFlowStatementData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioCashFlowStatementQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioCashFlowStatementQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioCashFlowStatementQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
statement_code = "cash_flow_statement"
|
||||
if query.period in ["quarter", "annual"]:
|
||||
period_type = "FY" if query.period == "annual" else "QTR"
|
||||
elif query.period in ["ttm", "ytd"]:
|
||||
period_type = query.period.upper()
|
||||
else:
|
||||
raise OpenBBError(f"Period '{query.period}' not supported.")
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
fundamentals_url = (
|
||||
f"{base_url}/companies/{query.symbol}"
|
||||
f"/fundamentals?statement_code={statement_code}&type={period_type}"
|
||||
)
|
||||
if query.fiscal_year is not None:
|
||||
if query.fiscal_year < 2008:
|
||||
warn("Financials data is only available from 2008 and later.")
|
||||
query.fiscal_year = 2008
|
||||
fundamentals_url = fundamentals_url + f"&fiscal_year={query.fiscal_year}"
|
||||
fundamentals_url = fundamentals_url + f"&api_key={api_key}"
|
||||
fundamentals_data = (await get_data_one(fundamentals_url, **kwargs)).get(
|
||||
"fundamentals", []
|
||||
)
|
||||
|
||||
fiscal_periods = [
|
||||
f"{item['fiscal_year']}-{item['fiscal_period']}"
|
||||
for item in fundamentals_data
|
||||
]
|
||||
fiscal_periods = fiscal_periods[: query.limit]
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
statement_data = await response.json()
|
||||
return {
|
||||
"period_ending": statement_data["fundamental"]["end_date"], # type: ignore
|
||||
"fiscal_period": statement_data["fundamental"]["fiscal_period"], # type: ignore
|
||||
"fiscal_year": statement_data["fundamental"]["fiscal_year"], # type: ignore
|
||||
"financials": statement_data["standardized_financials"], # type: ignore
|
||||
}
|
||||
|
||||
intrinio_id = f"{query.symbol}-{statement_code}"
|
||||
urls = [
|
||||
f"{base_url}/fundamentals/{intrinio_id}-{period}/standardized_financials?api_key={api_key}"
|
||||
for period in fiscal_periods
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioCashFlowStatementQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioCashFlowStatementData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[IntrinioCashFlowStatementData] = []
|
||||
units = []
|
||||
for item in data:
|
||||
sub_dict: dict[str, Any] = {}
|
||||
|
||||
for sub_item in item["financials"]:
|
||||
unit = sub_item["data_tag"].get("unit", "")
|
||||
if unit and len(unit) == 3:
|
||||
units.append(unit)
|
||||
field_name = sub_item["data_tag"]["tag"]
|
||||
sub_dict[field_name] = (
|
||||
float(sub_item["value"])
|
||||
if sub_item["value"] and sub_item["value"] != 0
|
||||
else None
|
||||
)
|
||||
|
||||
sub_dict["period_ending"] = item["period_ending"]
|
||||
sub_dict["fiscal_year"] = item["fiscal_year"]
|
||||
sub_dict["fiscal_period"] = item["fiscal_period"]
|
||||
sub_dict["reported_currency"] = list(set(units))[0]
|
||||
|
||||
transformed_data.append(IntrinioCashFlowStatementData(**sub_dict))
|
||||
|
||||
return transformed_data
|
||||
@@ -1,173 +0,0 @@
|
||||
"""Intrinio Company Filings Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
)
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.annotated_result import AnnotatedResult
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.company_filings import (
|
||||
CompanyFilingsData,
|
||||
CompanyFilingsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class IntrinioCompanyFilingsQueryParams(CompanyFilingsQueryParams):
|
||||
"""Intrinio Company Filings Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_filings_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"form_type": "report_type", "limit": "page_size"}
|
||||
|
||||
form_type: str | None = Field(
|
||||
default=None, description="SEC form type to filter by."
|
||||
)
|
||||
start_date: dateType | None = Field(
|
||||
default=None,
|
||||
description=QUERY_DESCRIPTIONS["start_date"],
|
||||
)
|
||||
end_date: dateType | None = Field(
|
||||
default=None,
|
||||
description=QUERY_DESCRIPTIONS["end_date"],
|
||||
)
|
||||
limit: int | None = Field(
|
||||
default=None,
|
||||
description=QUERY_DESCRIPTIONS["limit"],
|
||||
)
|
||||
thea_enabled: bool | None = Field(
|
||||
default=None,
|
||||
description="Return filings that have been read by Intrinio's Thea NLP.",
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def _validate_symbol(cls, v):
|
||||
"""Validate symbol."""
|
||||
if not v:
|
||||
raise ValueError("Symbol is required for Intrinio.")
|
||||
return v
|
||||
|
||||
|
||||
class IntrinioCompanyFilingsData(CompanyFilingsData):
|
||||
"""Intrinio Company Filings Data."""
|
||||
|
||||
id: str = Field(description="Intrinio ID of the filing.")
|
||||
period_end_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="Ending date of the fiscal period for the filing.",
|
||||
)
|
||||
accepted_date: datetime | None = Field(
|
||||
default=None, description="Accepted date of the filing."
|
||||
)
|
||||
sec_unique_id: str = Field(description="SEC unique ID of the filing.")
|
||||
filing_url: str | None = Field(default=None, description="URL to the filing page.")
|
||||
instance_url: str | None = Field(
|
||||
default=None,
|
||||
description="URL for the XBRL filing for the report.",
|
||||
)
|
||||
industry_group: str = Field(description="Industry group of the company.")
|
||||
industry_category: str = Field(description="Industry category of the company.")
|
||||
word_count: int | None = Field(
|
||||
default=None, description="Number of words in the filing, if available."
|
||||
)
|
||||
|
||||
|
||||
class IntrinioCompanyFilingsFetcher(
|
||||
Fetcher[
|
||||
IntrinioCompanyFilingsQueryParams,
|
||||
list[IntrinioCompanyFilingsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioCompanyFilingsQueryParams:
|
||||
"""Transform the query."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None and params.get("form_type") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
if params.get("end_date") is None and params.get("form_type") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioCompanyFilingsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioCompanyFilingsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> dict:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, OpenBBError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
get_async_requests_session,
|
||||
get_querystring,
|
||||
)
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies"
|
||||
query_str = get_querystring(
|
||||
query.model_dump(by_alias=True), ["symbol", "limit", "page_size"]
|
||||
)
|
||||
url = f"{base_url}/{query.symbol}/filings?{query_str}&page_size={query.limit or 10000}&api_key={api_key}"
|
||||
results: list = []
|
||||
metadata: dict = {}
|
||||
session = await get_async_requests_session()
|
||||
|
||||
async with await session.get(url) as response:
|
||||
if response.status != 200:
|
||||
raise OpenBBError(
|
||||
f"Error fetching data from Intrinio: {response.status} -> {response.text}"
|
||||
)
|
||||
result = await response.json()
|
||||
if filings := result.get("filings", []):
|
||||
results.extend(filings)
|
||||
|
||||
metadata = result.get("company", {})
|
||||
|
||||
while next_page := result.get("next_page"):
|
||||
url += f"&next_page={next_page}"
|
||||
async with await session.get(url) as next_response:
|
||||
if response.status != 200:
|
||||
raise OpenBBError(
|
||||
f"Error fetching data from Intrinio: {response.status} -> {response.text}"
|
||||
)
|
||||
result = await next_response.json()
|
||||
if filings := result.get("filings", []):
|
||||
results.extend(filings)
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("No data was returned for the symbol provided.")
|
||||
|
||||
return {"data": results, "metadata": metadata}
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioCompanyFilingsQueryParams, data: dict, **kwargs: Any
|
||||
) -> AnnotatedResult[list[IntrinioCompanyFilingsData]]:
|
||||
"""Return the transformed data."""
|
||||
return AnnotatedResult(
|
||||
result=[
|
||||
IntrinioCompanyFilingsData.model_validate(
|
||||
{
|
||||
k: v
|
||||
for k, v in d.items()
|
||||
if k not in ["thea_enabled", "earnings_release"]
|
||||
}
|
||||
)
|
||||
for d in data.get("data", [])
|
||||
],
|
||||
metadata=data.get("metadata", {}),
|
||||
)
|
||||
@@ -1,295 +0,0 @@
|
||||
"""Intrinio Company News Model."""
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime, timedelta
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.company_news import (
|
||||
CompanyNewsData,
|
||||
CompanyNewsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import get_data
|
||||
from openbb_intrinio.utils.references import IntrinioSecurity
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class IntrinioCompanyNewsQueryParams(CompanyNewsQueryParams):
|
||||
"""Intrinio Company News Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_news_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"limit": "page_size",
|
||||
"source": "specific_source",
|
||||
}
|
||||
__json_schema_extra__ = {
|
||||
"symbol": {"multiple_items_allowed": True},
|
||||
"source": {
|
||||
"choices": ["yahoo", "moody", "moody_us_news", "moody_us_press_releases"]
|
||||
},
|
||||
"sentiment": {"choices": ["positive", "neutral", "negative"]},
|
||||
}
|
||||
|
||||
source: (
|
||||
Literal["yahoo", "moody", "moody_us_news", "moody_us_press_releases"] | None
|
||||
) = Field(
|
||||
default=None,
|
||||
description="The source of the news article.",
|
||||
)
|
||||
sentiment: Literal["positive", "neutral", "negative"] | None = Field(
|
||||
default=None,
|
||||
description="Return news only from this source.",
|
||||
)
|
||||
language: str | None = Field(
|
||||
default=None,
|
||||
description="Filter by language. Unsupported for yahoo source.",
|
||||
)
|
||||
topic: str | None = Field(
|
||||
default=None,
|
||||
description="Filter by topic. Unsupported for yahoo source.",
|
||||
)
|
||||
word_count_greater_than: int | None = Field(
|
||||
default=None,
|
||||
description="News stories will have a word count greater than this value."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
word_count_less_than: int | None = Field(
|
||||
default=None,
|
||||
description="News stories will have a word count less than this value."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
is_spam: bool | None = Field(
|
||||
default=None,
|
||||
description="Filter whether it is marked as spam or not."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
business_relevance_greater_than: float | None = Field(
|
||||
default=None,
|
||||
ge=0,
|
||||
le=1,
|
||||
description="News stories will have a business relevance score more than this value."
|
||||
+ " Unsupported for yahoo source. Value is a decimal between 0 and 1.",
|
||||
)
|
||||
business_relevance_less_than: float | None = Field(
|
||||
default=None,
|
||||
ge=0,
|
||||
le=1,
|
||||
description="News stories will have a business relevance score less than this value."
|
||||
+ " Unsupported for yahoo source. Value is a decimal between 0 and 1.",
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def _symbol_mandatory(cls, v):
|
||||
"""Symbol mandatory validator."""
|
||||
if not v:
|
||||
raise OpenBBError("Required field missing -> symbol")
|
||||
return v
|
||||
|
||||
|
||||
class IntrinioCompanyNewsData(CompanyNewsData):
|
||||
"""Intrinio Company News Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"date": "publication_date",
|
||||
"sentiment": "article_sentiment",
|
||||
"sentiment_confidence": "article_sentiment_confidence",
|
||||
"symbols": "symbol",
|
||||
}
|
||||
source: str | None = Field(
|
||||
default=None,
|
||||
description="The source of the news article.",
|
||||
)
|
||||
summary: str | None = Field(
|
||||
default=None,
|
||||
description="The summary of the news article.",
|
||||
)
|
||||
topics: str | None = Field(
|
||||
default=None,
|
||||
description="The topics related to the news article.",
|
||||
)
|
||||
word_count: int | None = Field(
|
||||
default=None,
|
||||
description="The word count of the news article.",
|
||||
)
|
||||
business_relevance: float | None = Field(
|
||||
default=None,
|
||||
description=" How strongly correlated the news article is to the business",
|
||||
)
|
||||
sentiment: str | None = Field(
|
||||
default=None,
|
||||
description="The sentiment of the news article - i.e, negative, positive.",
|
||||
)
|
||||
sentiment_confidence: float | None = Field(
|
||||
default=None,
|
||||
description="The confidence score of the sentiment rating.",
|
||||
)
|
||||
language: str | None = Field(
|
||||
default=None,
|
||||
description="The language of the news article.",
|
||||
)
|
||||
spam: bool | None = Field(
|
||||
default=None,
|
||||
description="Whether the news article is spam.",
|
||||
)
|
||||
copyright: str | None = Field(
|
||||
default=None,
|
||||
description="The copyright notice of the news article.",
|
||||
)
|
||||
id: str = Field(description="Article ID.")
|
||||
security: IntrinioSecurity | None = Field(
|
||||
default=None,
|
||||
description="The Intrinio Security object. Contains the security details related to the news article.",
|
||||
)
|
||||
|
||||
@field_validator("publication_date", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def date_validate(cls, v):
|
||||
"""Return the date as a datetime object."""
|
||||
return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S.000Z")
|
||||
|
||||
@field_validator("topics", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def topics_validate(cls, v):
|
||||
"""Parse the topics as a string."""
|
||||
if v:
|
||||
topics = [t.get("name") for t in v if t and t not in ["", " "]]
|
||||
return ", ".join(topics)
|
||||
return None
|
||||
|
||||
@field_validator("copyright", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def copyright_validate(cls, v):
|
||||
"""Clean empty strings."""
|
||||
return None if v in ["", " "] else v
|
||||
|
||||
|
||||
class IntrinioCompanyNewsFetcher(
|
||||
Fetcher[
|
||||
IntrinioCompanyNewsQueryParams,
|
||||
list[IntrinioCompanyNewsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioCompanyNewsQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
if not transformed_params.get("start_date"):
|
||||
transformed_params["start_date"] = (
|
||||
datetime.now() - timedelta(days=365)
|
||||
).date()
|
||||
if not transformed_params.get("end_date"):
|
||||
transformed_params["end_date"] = (datetime.now() + timedelta(days=1)).date()
|
||||
if transformed_params["start_date"] == transformed_params["end_date"]:
|
||||
transformed_params["end_date"] = (
|
||||
transformed_params["end_date"] + timedelta(days=1)
|
||||
).date()
|
||||
return IntrinioCompanyNewsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioCompanyNewsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies"
|
||||
ignore = (
|
||||
["symbol", "page_size", "is_spam"]
|
||||
if not query.source or query.source == "yahoo"
|
||||
else ["symbol", "page_size"]
|
||||
)
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ignore)
|
||||
symbols = query.symbol.split(",") if query.symbol else []
|
||||
news: list = []
|
||||
|
||||
async def callback(response, session):
|
||||
"""Response callback."""
|
||||
result = await response.json()
|
||||
|
||||
if isinstance(result, dict) and "error" in result:
|
||||
if "api key" in result.get("message", "").lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {result.get('message')}"
|
||||
)
|
||||
raise OpenBBError(f"Error in Intrinio request -> {result}")
|
||||
|
||||
symbol = response.url.parts[-2]
|
||||
_data = result.get("news", [])
|
||||
data = []
|
||||
data.extend([{"symbol": symbol, **d} for d in _data])
|
||||
articles = len(data)
|
||||
next_page = result.get("next_page")
|
||||
# query.limit can be None...
|
||||
limit = query.limit or 2500
|
||||
while next_page and limit > articles:
|
||||
url = (
|
||||
f"{base_url}/{symbol}/news?{query_str}"
|
||||
+ f"&page_size={query.limit}&api_key={api_key}&next_page={next_page}"
|
||||
)
|
||||
result = await get_data(url, session=session, **kwargs)
|
||||
_data = result.get("news", [])
|
||||
if _data:
|
||||
data.extend([{"symbol": symbol, **d} for d in _data])
|
||||
articles = len(data)
|
||||
next_page = result.get("next_page")
|
||||
return data
|
||||
|
||||
seen = set()
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{base_url}/{symbol}/news?{query_str}&page_size={query.limit}&api_key={api_key}"
|
||||
data = await amake_request(url, response_callback=callback, **kwargs)
|
||||
if not data:
|
||||
warn(f"No data found for: {symbol}")
|
||||
if data:
|
||||
data = [x for x in data if not (x["url"] in seen or seen.add(x["url"]))] # type: ignore
|
||||
news.extend(
|
||||
sorted(data, key=lambda x: x["publication_date"], reverse=True)[
|
||||
: query.limit
|
||||
]
|
||||
)
|
||||
|
||||
tasks = [get_one(symbol) for symbol in symbols]
|
||||
|
||||
await asyncio.gather(*tasks)
|
||||
|
||||
if not news:
|
||||
raise EmptyDataError(
|
||||
"Error: The request was returned as empty."
|
||||
+ " Try adjusting the requested date ranges, if applicable."
|
||||
)
|
||||
|
||||
return news
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioCompanyNewsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioCompanyNewsData]:
|
||||
"""Return the transformed data."""
|
||||
results: list[IntrinioCompanyNewsData] = []
|
||||
for item in data:
|
||||
body = item.get("body", {})
|
||||
if not body:
|
||||
item["text"] = item.pop("summary")
|
||||
if body:
|
||||
_ = item.pop("body")
|
||||
item["publication_date"] = body.get("publication_date", None)
|
||||
item["text"] = body.get("body", None)
|
||||
results.append(IntrinioCompanyNewsData.model_validate(item))
|
||||
return results
|
||||
@@ -1,90 +0,0 @@
|
||||
"""Intrinio Currency Available Pairs Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.currency_pairs import (
|
||||
CurrencyPairsData,
|
||||
CurrencyPairsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioCurrencyPairsQueryParams(CurrencyPairsQueryParams):
|
||||
"""Intrinio Currency Available Pairs Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_forex_pairs_v2
|
||||
"""
|
||||
|
||||
|
||||
class IntrinioCurrencyPairsData(CurrencyPairsData):
|
||||
"""Intrinio Currency Available Pairs Data."""
|
||||
|
||||
__alias_dict__ = {"symbol": "code"}
|
||||
|
||||
base_currency: str = Field(
|
||||
description="ISO 4217 currency code of the base currency."
|
||||
)
|
||||
quote_currency: str = Field(
|
||||
description="ISO 4217 currency code of the quote currency."
|
||||
)
|
||||
|
||||
|
||||
class IntrinioCurrencyPairsFetcher(
|
||||
Fetcher[
|
||||
IntrinioCurrencyPairsQueryParams,
|
||||
list[IntrinioCurrencyPairsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioCurrencyPairsQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioCurrencyPairsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioCurrencyPairsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_intrinio.utils.helpers import get_data_many
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
url = f"{base_url}/forex/pairs?api_key={api_key}"
|
||||
return await get_data_many(url, "pairs", **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioCurrencyPairsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioCurrencyPairsData]:
|
||||
"""Return the transformed data."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from pandas import DataFrame
|
||||
|
||||
if not data:
|
||||
raise EmptyDataError("The request was returned empty.")
|
||||
df = DataFrame(data)
|
||||
if query.query:
|
||||
df = df[
|
||||
df["code"].str.contains(query.query, case=False)
|
||||
| df["base_currency"].str.contains(query.query, case=False)
|
||||
| df["quote_currency"].str.contains(query.query, case=False)
|
||||
]
|
||||
if len(df) == 0:
|
||||
raise EmptyDataError(
|
||||
f"No results were found with the query supplied. -> {query.query}"
|
||||
+ " Hint: Names and descriptions are not searchable from Intrinio, try 3-letter symbols."
|
||||
)
|
||||
return [
|
||||
IntrinioCurrencyPairsData.model_validate(d)
|
||||
for d in df.to_dict(orient="records")
|
||||
]
|
||||
@@ -1,274 +0,0 @@
|
||||
"""Intrinio Equity Historical Price Model."""
|
||||
|
||||
# pylint: disable = unused-argument
|
||||
|
||||
from datetime import datetime, time
|
||||
from typing import Any, Literal
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.equity_historical import (
|
||||
EquityHistoricalData,
|
||||
EquityHistoricalQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import (
|
||||
DATA_DESCRIPTIONS,
|
||||
QUERY_DESCRIPTIONS,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from pydantic import Field, PrivateAttr, model_validator
|
||||
|
||||
|
||||
class IntrinioEquityHistoricalQueryParams(EquityHistoricalQueryParams):
|
||||
"""Intrinio Equity Historical Price Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_security_interval_prices_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"interval": {
|
||||
"choices": [
|
||||
"1m",
|
||||
"5m",
|
||||
"10m",
|
||||
"15m",
|
||||
"30m",
|
||||
"60m",
|
||||
"1h",
|
||||
"1d",
|
||||
"1W",
|
||||
"1M",
|
||||
"1Q",
|
||||
"1Y",
|
||||
],
|
||||
},
|
||||
}
|
||||
|
||||
symbol: str = Field(
|
||||
description="A Security identifier (Ticker, FIGI, ISIN, CUSIP, Intrinio ID)."
|
||||
)
|
||||
interval: Literal[
|
||||
"1m", "5m", "10m", "15m", "30m", "60m", "1h", "1d", "1W", "1M", "1Q", "1Y"
|
||||
] = Field(default="1d", description=QUERY_DESCRIPTIONS.get("interval", ""))
|
||||
start_time: time | None = Field(
|
||||
default=None,
|
||||
description="Return intervals starting at the specified time on the `start_date` formatted as 'HH:MM:SS'.",
|
||||
)
|
||||
end_time: time | None = Field(
|
||||
default=None,
|
||||
description="Return intervals stopping at the specified time on the `end_date` formatted as 'HH:MM:SS'.",
|
||||
)
|
||||
timezone: str | None = Field(
|
||||
default="America/New_York",
|
||||
description="Timezone of the data, in the IANA format (Continent/City).",
|
||||
)
|
||||
source: Literal["realtime", "delayed", "nasdaq_basic"] = Field(
|
||||
default="realtime", description="The source of the data."
|
||||
)
|
||||
_interval_size: Literal["1m", "5m", "10m", "15m", "30m", "60m", "1h"] = PrivateAttr(
|
||||
default=None
|
||||
)
|
||||
_frequency: Literal["daily", "weekly", "monthly", "quarterly", "yearly"] = (
|
||||
PrivateAttr(default=None)
|
||||
)
|
||||
|
||||
# pylint: disable=protected-access
|
||||
@model_validator(mode="after")
|
||||
@classmethod
|
||||
def set_time_params(cls, values: "IntrinioEquityHistoricalQueryParams"):
|
||||
"""Set the default start & end date and time params for Intrinio API."""
|
||||
frequency_dict = {
|
||||
"1d": "daily",
|
||||
"1W": "weekly",
|
||||
"1M": "monthly",
|
||||
"1Q": "quarterly",
|
||||
"1Y": "yearly",
|
||||
}
|
||||
|
||||
if values.interval in ["1m", "5m", "10m", "15m", "30m", "60m", "1h"]:
|
||||
values._interval_size = values.interval # type: ignore
|
||||
elif values.interval in ["1d", "1W", "1M", "1Q", "1Y"]:
|
||||
values._frequency = frequency_dict[values.interval] # type: ignore
|
||||
|
||||
return values
|
||||
|
||||
|
||||
class IntrinioEquityHistoricalData(EquityHistoricalData):
|
||||
"""Intrinio Equity Historical Price Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"date": "time",
|
||||
"change_percent": "percent_change",
|
||||
"interval": "frequency",
|
||||
"intra_period": "intraperiod",
|
||||
}
|
||||
|
||||
average: float | None = Field(
|
||||
default=None,
|
||||
description="Average trade price of an individual equity during the interval.",
|
||||
)
|
||||
change: float | None = Field(
|
||||
default=None,
|
||||
description="Change in the price of the symbol from the previous day.",
|
||||
)
|
||||
change_percent: float | None = Field(
|
||||
default=None,
|
||||
description="Percent change in the price of the symbol from the previous day.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
adj_open: float | None = Field(
|
||||
default=None,
|
||||
description="The adjusted open price.",
|
||||
)
|
||||
adj_high: float | None = Field(
|
||||
default=None,
|
||||
description="The adjusted high price.",
|
||||
)
|
||||
adj_low: float | None = Field(
|
||||
default=None,
|
||||
description="The adjusted low price.",
|
||||
)
|
||||
adj_close: float | None = Field(
|
||||
default=None,
|
||||
description=DATA_DESCRIPTIONS.get("adj_close", ""),
|
||||
)
|
||||
adj_volume: float | None = Field(
|
||||
default=None,
|
||||
description="The adjusted volume.",
|
||||
)
|
||||
fifty_two_week_high: float | None = Field(
|
||||
default=None,
|
||||
description="52 week high price for the symbol.",
|
||||
)
|
||||
fifty_two_week_low: float | None = Field(
|
||||
default=None,
|
||||
description="52 week low price for the symbol.",
|
||||
)
|
||||
factor: float | None = Field(
|
||||
default=None,
|
||||
description="factor by which to multiply equity prices before this "
|
||||
"date, in order to calculate historically-adjusted equity prices.",
|
||||
)
|
||||
split_ratio: float | None = Field(
|
||||
default=None,
|
||||
description="Ratio of the equity split, if a split occurred.",
|
||||
)
|
||||
dividend: float | None = Field(
|
||||
default=None,
|
||||
description="Dividend amount, if a dividend was paid.",
|
||||
)
|
||||
close_time: datetime | None = Field(
|
||||
default=None,
|
||||
description="The timestamp that represents the end of the interval span.",
|
||||
)
|
||||
interval: str | None = Field(
|
||||
default=None,
|
||||
description="The data time frequency.",
|
||||
)
|
||||
intra_period: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the equity price represents an unfinished period "
|
||||
"(be it day, week, quarter, month, or year), meaning that the close "
|
||||
"price is the latest price available, not the official close price "
|
||||
"for the period",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEquityHistoricalFetcher(
|
||||
Fetcher[
|
||||
IntrinioEquityHistoricalQueryParams,
|
||||
list[IntrinioEquityHistoricalData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEquityHistoricalQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
if params.get("start_time") is None:
|
||||
transformed_params["start_time"] = time(0, 0, 0)
|
||||
|
||||
if params.get("end_time") is None:
|
||||
transformed_params["end_time"] = time(23, 59, 59)
|
||||
|
||||
return IntrinioEquityHistoricalQueryParams(**transformed_params)
|
||||
|
||||
# pylint: disable=protected-access
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEquityHistoricalQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
base_url = f"https://api-v2.intrinio.com/securities/{query.symbol}/prices"
|
||||
query_str = get_querystring(
|
||||
query.model_dump(by_alias=True), ["symbol", "interval"]
|
||||
)
|
||||
|
||||
if query._interval_size:
|
||||
base_url += f"/intervals?interval_size={query._interval_size}"
|
||||
data_key = "intervals"
|
||||
elif query._frequency:
|
||||
base_url += f"?frequency={query._frequency}"
|
||||
data_key = "stock_prices"
|
||||
|
||||
async def callback(response: ClientResponse, session: ClientSession) -> list:
|
||||
"""Return the response."""
|
||||
init_response = await response.json()
|
||||
if "error" in init_response:
|
||||
raise OpenBBError(
|
||||
f"Intrinio Error Message -> {init_response['error']}: {init_response.get('message')}" # type: ignore
|
||||
)
|
||||
|
||||
all_data: list = init_response.get(data_key, []) # type: ignore
|
||||
|
||||
next_page = init_response.get("next_page", None) # type: ignore
|
||||
while next_page:
|
||||
url = response.url.update_query(next_page=next_page).human_repr()
|
||||
response_data = await session.get_json(url)
|
||||
|
||||
all_data.extend(response_data.get(data_key, [])) # type: ignore
|
||||
next_page = response_data.get("next_page", None) # type: ignore
|
||||
|
||||
return all_data
|
||||
|
||||
url = f"{base_url}&{query_str}&api_key={api_key}"
|
||||
|
||||
return await amake_request(url, response_callback=callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEquityHistoricalQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEquityHistoricalData]:
|
||||
"""Return the transformed data."""
|
||||
if not data:
|
||||
raise EmptyDataError("The request was returned empty.")
|
||||
date_col = (
|
||||
"time"
|
||||
if query.interval in ["1m", "5m", "10m", "15m", "30m", "60m", "1h"]
|
||||
else "date"
|
||||
)
|
||||
return [
|
||||
IntrinioEquityHistoricalData.model_validate(d)
|
||||
for d in sorted(data, key=lambda x: x[date_col], reverse=False)
|
||||
]
|
||||
@@ -1,78 +0,0 @@
|
||||
"""Intrinio Equity Info Model."""
|
||||
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.equity_info import (
|
||||
EquityInfoData,
|
||||
EquityInfoQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_requests,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioEquityInfoQueryParams(EquityInfoQueryParams):
|
||||
"""Intrinio Equity Info Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
|
||||
class IntrinioEquityInfoData(EquityInfoData):
|
||||
"""Intrinio Equity Info Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
}
|
||||
|
||||
id: str = Field(default=None, description="Intrinio ID for the company.")
|
||||
thea_enabled: bool | None = Field(
|
||||
default=None, description="Whether the company has been enabled for Thea."
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEquityInfoFetcher(
|
||||
Fetcher[
|
||||
IntrinioEquityInfoQueryParams,
|
||||
list[IntrinioEquityInfoData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEquityInfoQueryParams:
|
||||
"""Transform the query."""
|
||||
return IntrinioEquityInfoQueryParams(**params)
|
||||
|
||||
# pylint: disable=W0613:unused-argument
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEquityInfoQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> dict:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
|
||||
urls = [
|
||||
f"{base_url}/companies/{s.strip()}?api_key={api_key}"
|
||||
for s in query.symbol.split(",")
|
||||
]
|
||||
|
||||
return await amake_requests(urls, response_callback, **kwargs)
|
||||
|
||||
# pylint: disable=W0613:unused-argument
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEquityInfoQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEquityInfoData]:
|
||||
"""Transform the data."""
|
||||
return [IntrinioEquityInfoData.model_validate(d) for d in data]
|
||||
@@ -1,140 +0,0 @@
|
||||
"""Intrinio Equity Quote Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
import re
|
||||
import warnings
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.equity_quote import (
|
||||
EquityQuoteData,
|
||||
EquityQuoteQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
amake_requests,
|
||||
)
|
||||
from openbb_intrinio.utils.references import SOURCES, VENUES, IntrinioSecurity
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
_warn = warnings.warn
|
||||
|
||||
|
||||
class IntrinioEquityQuoteQueryParams(EquityQuoteQueryParams):
|
||||
"""Intrinio Equity Quote Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_security_realtime_price_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
symbol: str = Field(
|
||||
description="A Security identifier (Ticker, FIGI, ISIN, CUSIP, Intrinio ID)."
|
||||
)
|
||||
source: SOURCES = Field(default="iex", description="Source of the data.")
|
||||
|
||||
|
||||
class IntrinioEquityQuoteData(EquityQuoteData):
|
||||
"""Intrinio Equity Quote Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"exchange": "listing_venue",
|
||||
"market_center": "market_center_code",
|
||||
"bid": "bid_price",
|
||||
"ask": "ask_price",
|
||||
"open": "open_price",
|
||||
"close": "close_price",
|
||||
"low": "low_price",
|
||||
"high": "high_price",
|
||||
"last_timestamp": "last_time",
|
||||
"volume": "market_volume",
|
||||
}
|
||||
is_darkpool: bool | None = Field(
|
||||
default=None, description="Whether or not the current trade is from a darkpool."
|
||||
)
|
||||
source: str | None = Field(default=None, description="Source of the Intrinio data.")
|
||||
updated_on: datetime = Field(
|
||||
description="Date and Time when the data was last updated."
|
||||
)
|
||||
security: IntrinioSecurity | None = Field(
|
||||
default=None, description="Security details related to the quote."
|
||||
)
|
||||
|
||||
@field_validator("last_time", "updated_on", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def date_validate(cls, v): # pylint: disable=E0213
|
||||
"""Return the date as a datetime object."""
|
||||
return (
|
||||
datetime.fromisoformat(v.replace("Z", "+00:00"))
|
||||
if v.endswith(("Z", "+00:00"))
|
||||
else datetime.fromisoformat(v)
|
||||
)
|
||||
|
||||
@field_validator("sales_conditions", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def validate_sales_conditions(cls, v):
|
||||
"""Validate sales conditions and remove empty strings."""
|
||||
if v:
|
||||
control_char_re = re.compile(r"[\x00-\x1f\x7f-\x9f]")
|
||||
v = control_char_re.sub("", v).strip()
|
||||
v = None if v == "" else v
|
||||
return v if v else None
|
||||
|
||||
@field_validator("exchange", "market_center", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def validate_listing_venue(cls, v):
|
||||
"""Validate listing venue and remove empty strings."""
|
||||
if v:
|
||||
return VENUES.get(v, v)
|
||||
return None
|
||||
|
||||
|
||||
class IntrinioEquityQuoteFetcher(
|
||||
Fetcher[
|
||||
IntrinioEquityQuoteQueryParams,
|
||||
list[IntrinioEquityQuoteData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEquityQuoteQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioEquityQuoteQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEquityQuoteQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
if response.status != 200:
|
||||
return {}
|
||||
|
||||
response_data = await response.json()
|
||||
response_data["symbol"] = response_data["security"].get("ticker", None) # type: ignore
|
||||
if "messages" in response_data and response_data.get("messages"): # type: ignore
|
||||
_message = list(response_data.pop("messages")) # type: ignore
|
||||
_warn(str(",".join(_message)))
|
||||
return response_data # type: ignore
|
||||
|
||||
urls = [
|
||||
f"{base_url}/securities/{s.strip()}/prices/realtime?source={query.source}&api_key={api_key}"
|
||||
for s in query.symbol.split(",")
|
||||
]
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEquityQuoteQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioEquityQuoteData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioEquityQuoteData.model_validate(d) for d in data]
|
||||
@@ -1,90 +0,0 @@
|
||||
"""Intrinio Equity Search Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.equity_search import (
|
||||
EquitySearchData,
|
||||
EquitySearchQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import (
|
||||
DATA_DESCRIPTIONS,
|
||||
QUERY_DESCRIPTIONS,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioEquitySearchQueryParams(EquitySearchQueryParams):
|
||||
"""Intrinio Equity Search Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/search_companies_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"limit": "page_size",
|
||||
}
|
||||
|
||||
active: bool = Field(
|
||||
default=True,
|
||||
description="When true, return companies that are actively traded (having stock prices within the past 14 days)."
|
||||
+ " When false, return companies that are not actively traded or never have been traded.",
|
||||
)
|
||||
limit: int | None = Field(
|
||||
default=10000,
|
||||
description=QUERY_DESCRIPTIONS.get("limit", ""),
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEquitySearchData(EquitySearchData):
|
||||
"""Intrinio Equity Search Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"intrinio_id": "id",
|
||||
"symbol": "ticker",
|
||||
}
|
||||
|
||||
cik: str | None = Field(description=DATA_DESCRIPTIONS.get("CIK", ""))
|
||||
lei: str | None = Field(
|
||||
description="The Legal Entity Identifier (LEI) of the company."
|
||||
)
|
||||
intrinio_id: str = Field(description="The Intrinio ID of the company.")
|
||||
|
||||
|
||||
class IntrinioEquitySearchFetcher(
|
||||
Fetcher[
|
||||
IntrinioEquitySearchQueryParams,
|
||||
list[IntrinioEquitySearchData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEquitySearchQueryParams:
|
||||
"""Transform the query."""
|
||||
return IntrinioEquitySearchQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEquitySearchQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["is_symbol"])
|
||||
base_url = "https://api-v2.intrinio.com/companies/search?"
|
||||
url = f"{base_url}{query_str}&api_key={api_key}"
|
||||
data = await get_data_one(url, **kwargs)
|
||||
return data # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEquitySearchQueryParams, data: dict, **kwargs: Any
|
||||
) -> list[IntrinioEquitySearchData]:
|
||||
"""Transform the data to the standard format."""
|
||||
return [IntrinioEquitySearchData.model_validate(d) for d in data["companies"]]
|
||||
@@ -1,211 +0,0 @@
|
||||
"""Intrinio ETF Holdings Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import date as dateType
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.etf_holdings import (
|
||||
EtfHoldingsData,
|
||||
EtfHoldingsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_request,
|
||||
)
|
||||
from pydantic import Field, model_validator
|
||||
|
||||
|
||||
class IntrinioEtfHoldingsQueryParams(EtfHoldingsQueryParams):
|
||||
"""
|
||||
Intrinio ETF Holdings Query Params.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_etf_holdings_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"date": "as_of_date"}
|
||||
|
||||
date: dateType | None = Field(
|
||||
default=None, description=QUERY_DESCRIPTIONS.get("date", "")
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfHoldingsData(EtfHoldingsData):
|
||||
"""Intrinio ETF Holdings Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
"security_type": "type",
|
||||
"unit": "quantity_units",
|
||||
"face_value": "face",
|
||||
"balance": "quantity_held",
|
||||
"value": "market_value_held",
|
||||
"derivatives_value": "notional_value",
|
||||
"units_per_share": "quantity_per_share",
|
||||
"weight": "weighting",
|
||||
"updated": "as_of_date",
|
||||
"country": "location",
|
||||
"maturity_date": "maturity",
|
||||
}
|
||||
|
||||
name: str | None = Field(
|
||||
default=None,
|
||||
description="The common name for the holding.",
|
||||
)
|
||||
security_type: str | None = Field(
|
||||
default=None,
|
||||
description="The type of instrument for this holding. Examples(Bond='BOND', Equity='EQUI')",
|
||||
)
|
||||
isin: str | None = Field(
|
||||
default=None,
|
||||
description="The International Securities Identification Number.",
|
||||
)
|
||||
ric: str | None = Field(
|
||||
default=None,
|
||||
description="The Reuters Instrument Code.",
|
||||
)
|
||||
sedol: str | None = Field(
|
||||
default=None,
|
||||
description="The Stock Exchange Daily Official List.",
|
||||
)
|
||||
share_class_figi: str | None = Field(
|
||||
default=None,
|
||||
description="The OpenFIGI symbol for the holding.",
|
||||
)
|
||||
country: str | None = Field(
|
||||
default=None,
|
||||
description="The country or region of the holding.",
|
||||
)
|
||||
maturity_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="The maturity date for the debt security, if available.",
|
||||
)
|
||||
contract_expiry_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="Expiry date for the futures contract held, if available.",
|
||||
)
|
||||
coupon: float | None = Field(
|
||||
default=None,
|
||||
description="The coupon rate of the debt security, if available.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
balance: int | float | None = Field(
|
||||
default=None,
|
||||
description="The number of units of the security held, if available.",
|
||||
)
|
||||
unit: str | None = Field(
|
||||
default=None,
|
||||
description="The units of the 'balance' field.",
|
||||
)
|
||||
units_per_share: float | None = Field(
|
||||
default=None,
|
||||
description="Number of units of the security held per share outstanding of the ETF, if available.",
|
||||
)
|
||||
face_value: float | None = Field(
|
||||
default=None,
|
||||
description="The face value of the debt security, if available.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
derivatives_value: float | None = Field(
|
||||
default=None,
|
||||
description="The notional value of derivatives contracts held.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
value: float | None = Field(
|
||||
default=None,
|
||||
description="The market value of the holding, on the 'as_of' date.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
weight: float | None = Field(
|
||||
default=None,
|
||||
description="The weight of the holding, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
updated: dateType | None = Field(
|
||||
default=None,
|
||||
description="The 'as_of' date for the holding.",
|
||||
)
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def replace_zero(cls, values):
|
||||
"""Check for zero values and replace with None."""
|
||||
return (
|
||||
{k: None if v == 0 else v for k, v in values.items()}
|
||||
if isinstance(values, dict)
|
||||
else values
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfHoldingsFetcher(
|
||||
Fetcher[IntrinioEtfHoldingsQueryParams, list[IntrinioEtfHoldingsData]]
|
||||
):
|
||||
"""Intrinio ETF Holdings Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEtfHoldingsQueryParams:
|
||||
"""Transform query."""
|
||||
return IntrinioEtfHoldingsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEtfHoldingsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
symbol = query.symbol + ":US" if ":" not in query.symbol else query.symbol
|
||||
URL = f"https://api-v2.intrinio.com/etfs/{symbol}/holdings?page_size=10000&api_key={api_key}"
|
||||
if query.date:
|
||||
URL += f"&as_of_date={query.date}"
|
||||
data: list = []
|
||||
|
||||
async def response_callback(response: ClientResponse, session: ClientSession):
|
||||
"""Async response callback."""
|
||||
results = await response.json()
|
||||
|
||||
if results.get("error"): # type: ignore
|
||||
return results
|
||||
|
||||
if results.get("holdings") and len(results.get("holdings")) > 0: # type: ignore
|
||||
data.extend(results.get("holdings")) # type: ignore
|
||||
while results.get("next_page"): # type: ignore
|
||||
next_page = results["next_page"] # type: ignore
|
||||
next_url = f"{URL}&next_page={next_page}"
|
||||
results = await amake_request(next_url, session=session, **kwargs)
|
||||
if "holdings" in results and len(results.get("holdings")) > 0: # type: ignore
|
||||
data.extend(results.get("holdings")) # type: ignore
|
||||
return data
|
||||
|
||||
return await amake_request(URL, response_callback=response_callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEtfHoldingsQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEtfHoldingsData]:
|
||||
"""Transform data."""
|
||||
if not data or isinstance(data, dict) and data.get("error"):
|
||||
if isinstance(data, list) and data == []:
|
||||
raise OpenBBError(
|
||||
str(
|
||||
f"No holdings were found for {query.symbol}, and the response from Intrinio was empty."
|
||||
)
|
||||
)
|
||||
raise OpenBBError(str(f"{data.get('message')} {query.symbol}: {data['error']}")) # type: ignore
|
||||
|
||||
results: list[IntrinioEtfHoldingsData] = []
|
||||
for d in sorted(data, key=lambda x: x["weighting"], reverse=True):
|
||||
# This field is deprecated and is dupilcated in the response.
|
||||
_ = d.pop("composite_figi", None)
|
||||
if d.get("coupon"):
|
||||
d["coupon"] = d["coupon"] / 100
|
||||
results.append(IntrinioEtfHoldingsData.model_validate(d))
|
||||
|
||||
return results
|
||||
@@ -1,655 +0,0 @@
|
||||
"""Intrinio ETF Info Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import date as dateType
|
||||
from typing import Any
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.etf_info import (
|
||||
EtfInfoData,
|
||||
EtfInfoQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import amake_requests
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioEtfInfoQueryParams(EtfInfoQueryParams):
|
||||
"""
|
||||
Intrinio ETF Info Query Params.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_etf_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
|
||||
class IntrinioEtfInfoData(EtfInfoData):
|
||||
"""Intrinio ETF Info Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
"exchange": "exchange_mic",
|
||||
"issuer": "sponsor",
|
||||
"investment_style": "type",
|
||||
"industry_group": "sub_industry",
|
||||
"holds_mlp": "holds_ml_ps",
|
||||
"holds_adr": "holds_ad_rs",
|
||||
"index_symbol": "index_ticker",
|
||||
"figi_symbol": "figi_ticker",
|
||||
"intrinio_id": "id",
|
||||
"is_listed": "is_live_listed",
|
||||
"beta_type": "smartvs_traditional_beta",
|
||||
"beta_details": "smartvs_traditional_beta_level2",
|
||||
"listing_country": "primary_ticker_country_code",
|
||||
"listing_region": "primary_listing_region",
|
||||
"primary_symbol": "primary_ticker",
|
||||
"intraday_nav_symbol": "intraday_nav_ticker",
|
||||
"issuer_country": "issuing_entity_country_code",
|
||||
"livestock_type": "livestock",
|
||||
}
|
||||
|
||||
fund_listing_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="The date on which the Exchange Traded Product (ETP)"
|
||||
+ " or share class of the ETP is listed on a specific exchange.",
|
||||
)
|
||||
data_change_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="The last date on which there was a change in a classifications data field for this ETF.",
|
||||
)
|
||||
etn_maturity_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="If the product is an ETN, this field identifies the maturity date for the ETN.",
|
||||
)
|
||||
is_listed: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF is still listed on an exchange.",
|
||||
)
|
||||
close_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="The date on which the ETF was de-listed if it is no longer listed.",
|
||||
)
|
||||
exchange: str | None = Field(
|
||||
default=None,
|
||||
description="The exchange Market Identifier Code (MIC).",
|
||||
)
|
||||
isin: str | None = Field(
|
||||
default=None,
|
||||
description="International Securities Identification Number (ISIN).",
|
||||
)
|
||||
ric: str | None = Field(
|
||||
default=None,
|
||||
description="Reuters Instrument Code (RIC).",
|
||||
)
|
||||
sedol: str | None = Field(
|
||||
default=None,
|
||||
description="Stock Exchange Daily Official List (SEDOL).",
|
||||
)
|
||||
figi_symbol: str | None = Field(
|
||||
default=None,
|
||||
description="Financial Instrument Global Identifier (FIGI) symbol.",
|
||||
)
|
||||
share_class_figi: str | None = Field(
|
||||
default=None,
|
||||
description="Financial Instrument Global Identifier (FIGI).",
|
||||
)
|
||||
firstbridge_id: str | None = Field(
|
||||
default=None,
|
||||
description="The FirstBridge unique identifier for the Exchange Traded Fund (ETF).",
|
||||
)
|
||||
firstbridge_parent_id: str | None = Field(
|
||||
default=None,
|
||||
description="The FirstBridge unique identifier for the parent Exchange Traded Fund (ETF), if applicable.",
|
||||
)
|
||||
intrinio_id: str | None = Field(
|
||||
default=None,
|
||||
description="Intrinio unique identifier for the security.",
|
||||
)
|
||||
intraday_nav_symbol: str | None = Field(
|
||||
default=None,
|
||||
description="Intraday Net Asset Value (NAV) symbol.",
|
||||
)
|
||||
primary_symbol: str | None = Field(
|
||||
default=None,
|
||||
description="The primary ticker field is used for Exchange Traded Products (ETPs)"
|
||||
+ " that have multiple listings and share classes."
|
||||
+ " If an ETP has multiple listings or share classes,"
|
||||
+ " the same primary ticker is assigned to all the listings and share classes.",
|
||||
)
|
||||
etp_structure_type: str | None = Field(
|
||||
default=None,
|
||||
description="Classifies Exchange Traded Products (ETPs) into very broad categories based on its legal structure.",
|
||||
)
|
||||
legal_structure: str | None = Field(
|
||||
default=None,
|
||||
description="Legal structure of the fund.",
|
||||
)
|
||||
issuer: str | None = Field(
|
||||
default=None,
|
||||
description="Issuer of the ETF.",
|
||||
)
|
||||
etn_issuing_bank: str | None = Field(
|
||||
default=None,
|
||||
description="If the product is an Exchange Traded Note (ETN), this field identifies the issuing bank.",
|
||||
)
|
||||
fund_family: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the fund family to which the ETF belongs, as categorized by the ETF Sponsor.",
|
||||
)
|
||||
investment_style: str | None = Field(
|
||||
default=None,
|
||||
description="Investment style of the ETF.",
|
||||
)
|
||||
derivatives_based: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF holds either"
|
||||
+ " listed or over-the-counter derivatives in its portfolio.",
|
||||
)
|
||||
income_category: str | None = Field(
|
||||
default=None,
|
||||
description="Identifies if an Exchange Traded Fund (ETF) falls into a category"
|
||||
+ " that is specifically designed to provide a high yield or income",
|
||||
)
|
||||
asset_class: str | None = Field(
|
||||
default=None,
|
||||
description="Captures the underlying nature of the securities in the Exchanged Traded Product (ETP).",
|
||||
)
|
||||
other_asset_types: str | None = Field(
|
||||
default=None,
|
||||
description="If 'asset_class' field is classified as 'Other Asset Types'"
|
||||
+ " this field captures the specific category of the underlying assets.",
|
||||
)
|
||||
single_category_designation: str | None = Field(
|
||||
default=None,
|
||||
description="This categorization is created for those users who want every ETF to be 'forced'"
|
||||
+ " into a single bucket, so that the assets for all categories will always sum to the total market.",
|
||||
)
|
||||
beta_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies whether an ETF provides 'Traditional' beta exposure or 'Smart' beta exposure."
|
||||
+ " ETFs that are active (i.e. non-indexed), leveraged / inverse or have a proprietary quant model"
|
||||
+ " (i.e. that don't provide indexed exposure to a targeted factor) are classified separately.",
|
||||
)
|
||||
beta_details: str | None = Field(
|
||||
default=None,
|
||||
description="This field provides further detail within the traditional and smart beta categories.",
|
||||
)
|
||||
market_cap_range: str | None = Field(
|
||||
default=None,
|
||||
description="Equity ETFs are classified as falling into categories"
|
||||
+ " based on the description of their investment strategy in the prospectus."
|
||||
+ " Examples ('Mega Cap', 'Large Cap', 'Mid Cap', etc.)",
|
||||
)
|
||||
market_cap_weighting_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that take the value 'Market Cap Weighted' in the 'index_weighting_scheme' field,"
|
||||
+ " this field provides detail on the market cap weighting type.",
|
||||
)
|
||||
index_weighting_scheme: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that track an underlying index,"
|
||||
+ " this field provides detail on the index weighting type.",
|
||||
)
|
||||
index_linked: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies whether an ETF is index linked or active.",
|
||||
)
|
||||
index_name: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the name of the underlying index tracked by the ETF, if applicable.",
|
||||
)
|
||||
index_symbol: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the OpenFIGI ticker for the Index underlying the ETF.",
|
||||
)
|
||||
parent_index: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the name of the parent index, which represents"
|
||||
+ " the broader universe from which the index underlying the ETF is created, if applicable.",
|
||||
)
|
||||
index_family: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the index family to which the index underlying the ETF belongs."
|
||||
+ " The index family is represented as categorized by the index provider.",
|
||||
)
|
||||
broader_index_family: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the broader index family to which the index underlying the ETF belongs."
|
||||
+ " The broader index family is represented as categorized by the index provider.",
|
||||
)
|
||||
index_provider: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the Index provider for the index underlying the ETF, if applicable.",
|
||||
)
|
||||
index_provider_code: str | None = Field(
|
||||
default=None,
|
||||
description="This field provides the First Bridge code for each Index provider,"
|
||||
+ " corresponding to the index underlying the ETF if applicable.",
|
||||
)
|
||||
replication_structure: str | None = Field(
|
||||
default=None,
|
||||
description="The replication structure of the Exchange Traded Product (ETP).",
|
||||
)
|
||||
growth_value_tilt: str | None = Field(
|
||||
default=None,
|
||||
description="Classifies equity ETFs as either 'Growth' or Value' based on the stated style tilt"
|
||||
+ " in the ETF prospectus. Equity ETFs that do not have a stated style tilt are classified as 'Core / Blend'.",
|
||||
)
|
||||
growth_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Growth' in 'growth_value_tilt',"
|
||||
+ " this field further identifies those where the stocks in the"
|
||||
+ " ETF are both selected and weighted based on their growth (style factor) scores.",
|
||||
)
|
||||
value_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Value' in 'growth_value_tilt',"
|
||||
+ " this field further identifies those where the stocks in the"
|
||||
+ " ETF are both selected and weighted based on their value (style factor) scores.",
|
||||
)
|
||||
sector: str | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs that aim to provide targeted exposure to a sector or industry,"
|
||||
+ " this field identifies the Sector that it provides the exposure to.",
|
||||
)
|
||||
industry: str | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs that aim to provide targeted exposure to an industry,"
|
||||
+ " this field identifies the Industry that it provides the exposure to.",
|
||||
)
|
||||
industry_group: str | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs that aim to provide targeted exposure to a sub-industry,"
|
||||
+ " this field identifies the sub-Industry that it provides the exposure to.",
|
||||
)
|
||||
cross_sector_theme: str | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs that aim to provide targeted exposure to a specific investment theme"
|
||||
+ " that cuts across GICS sectors, this field identifies the specific cross-sector theme."
|
||||
+ " Examples ('Agri-business', 'Natural Resources', 'Green Investing', etc.)",
|
||||
)
|
||||
natural_resources_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Natural Resources' in the 'cross_sector_theme' field,"
|
||||
+ " this field provides further detail on the type of Natural Resources exposure.",
|
||||
)
|
||||
us_or_excludes_us: str | None = Field(
|
||||
default=None,
|
||||
description="Takes the value of 'Domestic' for US exposure,"
|
||||
+ " 'International' for non-US exposure and 'Global' for exposure that includes all regions including the US.",
|
||||
)
|
||||
developed_emerging: str | None = Field(
|
||||
default=None,
|
||||
description="This field identifies the stage of development of the markets that the ETF provides exposure to.",
|
||||
)
|
||||
specialized_region: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF provides targeted"
|
||||
+ " exposure to a specific type of geography-based grouping"
|
||||
+ " that does not fall into a specific country or continent grouping."
|
||||
+ " Examples ('BRIC', 'Chindia', etc.)",
|
||||
)
|
||||
continent: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF provides targeted exposure"
|
||||
+ " to a specific continent or country within that Continent.",
|
||||
)
|
||||
latin_america_sub_group: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Latin America' in the 'continent' field,"
|
||||
+ " this field provides further detail on the type of regional exposure.",
|
||||
)
|
||||
europe_sub_group: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Europe' in the 'continent' field,"
|
||||
+ " this field provides further detail on the type of regional exposure.",
|
||||
)
|
||||
asia_sub_group: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'Asia' in the 'continent' field,"
|
||||
+ " this field provides further detail on the type of regional exposure.",
|
||||
)
|
||||
specific_country: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF provides targeted exposure to a specific country.",
|
||||
)
|
||||
china_listing_location: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that are classified as 'China' in the 'country' field,"
|
||||
+ " this field provides further detail on the type of exposure in the underlying securities.",
|
||||
)
|
||||
us_state: str | None = Field(
|
||||
default=None,
|
||||
description="Takes the value of a US state if the ETF provides"
|
||||
+ " targeted exposure to the municipal bonds or equities of companies.",
|
||||
)
|
||||
real_estate: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that provide targeted real estate exposure,"
|
||||
+ " this field is populated if the ETF provides targeted"
|
||||
+ " exposure to a specific segment of the real estate market.",
|
||||
)
|
||||
|
||||
fundamental_weighting_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that take the value 'Fundamental Weighted' in the 'index_weighting_scheme' field,"
|
||||
+ " this field provides detail on the fundamental weighting methodology.",
|
||||
)
|
||||
dividend_weighting_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs that take the value 'Dividend Weighted' in the 'index_weighting_scheme' field,"
|
||||
+ " this field provides detail on the dividend weighting methodology.",
|
||||
)
|
||||
bond_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'asset_class_type' is 'Bonds',"
|
||||
+ " this field provides detail on the type of bonds held in the ETF.",
|
||||
)
|
||||
government_bond_types: str | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs that take the value 'Treasury & Government' in 'bond_type',"
|
||||
+ " this field provides detail on the exposure.",
|
||||
)
|
||||
municipal_bond_region: str | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs that take the value 'Municipal' in 'bond_type',"
|
||||
+ " this field provides additional detail on the geographic exposure.",
|
||||
)
|
||||
municipal_vrdo: bool | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs that take the value 'Municipal' in 'bond_type',"
|
||||
+ " this field identifies those ETFs that specifically provide exposure to Variable Rate Demand Obligations.",
|
||||
)
|
||||
mortgage_bond_types: str | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs that take the value 'Mortgage' in 'bond_type',"
|
||||
+ " this field provides additional detail on the type of underlying securities.",
|
||||
)
|
||||
bond_tax_status: str | None = Field(
|
||||
default=None,
|
||||
description="For all US bond ETFs, this field provides additional"
|
||||
+ " detail on the tax treatment of the underlying securities.",
|
||||
)
|
||||
credit_quality: str | None = Field(
|
||||
default=None,
|
||||
description="For all bond ETFs, this field helps to identify if the ETF"
|
||||
+ " provides targeted exposure to securities of a specific credit quality range.",
|
||||
)
|
||||
average_maturity: str | None = Field(
|
||||
default=None,
|
||||
description="For all bond ETFs, this field helps to identify if the ETF"
|
||||
+ " provides targeted exposure to securities of a specific maturity range.",
|
||||
)
|
||||
specific_maturity_year: int | None = Field(
|
||||
default=None,
|
||||
description="For all bond ETFs that take the value 'Specific Maturity Year' in the 'average_maturity' field,"
|
||||
+ " this field specifies the calendar year.",
|
||||
)
|
||||
commodity_types: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'asset_class_type' is 'Commodities',"
|
||||
+ " this field provides detail on the type of commodities held in the ETF.",
|
||||
)
|
||||
energy_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'commodity_type' is 'Energy',"
|
||||
+ " this field provides detail on the type of energy exposure provided by the ETF.",
|
||||
)
|
||||
agricultural_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'commodity_type' is 'Agricultural',"
|
||||
+ " this field provides detail on the type of agricultural exposure provided by the ETF.",
|
||||
)
|
||||
livestock_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'commodity_type' is 'Livestock',"
|
||||
+ " this field provides detail on the type of livestock exposure provided by the ETF.",
|
||||
)
|
||||
metal_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'commodity_type' is 'Gold & Metals',"
|
||||
+ " this field provides detail on the type of exposure provided by the ETF.",
|
||||
)
|
||||
inverse_leveraged: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF provides inverse or leveraged exposure.",
|
||||
)
|
||||
target_date_multi_asset_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'asset_class_type' is 'Target Date / MultiAsset',"
|
||||
+ " this field provides detail on the type of commodities held in the ETF.",
|
||||
)
|
||||
currency_pair: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF's strategy involves providing exposure to"
|
||||
+ " the movements of a currency or involves hedging currency exposure.",
|
||||
)
|
||||
social_environmental_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF's strategy involves providing"
|
||||
+ " exposure to a specific social or environmental theme.",
|
||||
)
|
||||
clean_energy_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF has a value of 'Clean Energy'"
|
||||
+ " in the 'social_environmental_type' field.",
|
||||
)
|
||||
dividend_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF has an intended"
|
||||
+ " investment objective of holding dividend-oriented stocks as stated in the prospectus.",
|
||||
)
|
||||
regular_dividend_payor_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF has a value of"
|
||||
+ "'Dividend - Regular Payors' in the 'dividend_type' field.",
|
||||
)
|
||||
quant_strategies_type: str | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF has either an index-linked"
|
||||
+ " or active strategy that is based on a proprietary quantitative strategy.",
|
||||
)
|
||||
other_quant_models: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'quant_strategies_type' is 'Other Quant Model',"
|
||||
+ " this field provides the name of the specific proprietary quant model"
|
||||
+ " used as the underlying strategy for the ETF.",
|
||||
)
|
||||
hedge_fund_type: str | None = Field(
|
||||
default=None,
|
||||
description="For ETFs where 'other_asset_types' is 'Hedge Fund Replication',"
|
||||
+ " this field provides detail on the type of hedge fund replication strategy.",
|
||||
)
|
||||
excludes_financials: bool | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs, identifies those ETFs"
|
||||
+ " where the underlying fund holdings will not hold financials stocks,"
|
||||
+ " based on the funds intended objective.",
|
||||
)
|
||||
excludes_technology: bool | None = Field(
|
||||
default=None,
|
||||
description="For equity ETFs, identifies those ETFs"
|
||||
+ " where the underlying fund holdings will not hold technology stocks,"
|
||||
+ " based on the funds intended objective.",
|
||||
)
|
||||
holds_only_nyse_stocks: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF is an equity ETF and holds only stocks listed on NYSE.",
|
||||
)
|
||||
holds_only_nasdaq_stocks: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF is an equity ETF and holds only stocks listed on Nasdaq.",
|
||||
)
|
||||
holds_mlp: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF's investment objective explicitly specifies"
|
||||
+ " that it holds MLPs as an intended part of its investment strategy.",
|
||||
)
|
||||
holds_preferred_stock: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF's investment objective explicitly specifies"
|
||||
+ " that it holds preferred stock as an intended part of its investment strategy.",
|
||||
)
|
||||
holds_closed_end_funds: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the ETF's investment objective explicitly specifies"
|
||||
+ " that it holds closed end funds as an intended part of its investment strategy.",
|
||||
)
|
||||
holds_adr: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, he ETF's investment objective explicitly specifies that it holds"
|
||||
+ " American Depositary Receipts (ADRs) as an intended part of its investment strategy.",
|
||||
)
|
||||
laddered: bool | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs, this field identifies those ETFs that"
|
||||
+ " specifically hold bonds in a laddered structure,"
|
||||
+ " where the bonds are scheduled to mature in an annual, sequential structure.",
|
||||
)
|
||||
zero_coupon: bool | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs, this field identifies those ETFs that specifically hold zero coupon Treasury Bills.",
|
||||
)
|
||||
floating_rate: bool | None = Field(
|
||||
default=None,
|
||||
description="For bond ETFs, this field identifies those ETFs that specifically hold floating rate bonds.",
|
||||
)
|
||||
build_america_bonds: bool | None = Field(
|
||||
default=None,
|
||||
description="For municipal bond ETFs, this field identifies those"
|
||||
+ " ETFs that specifically hold Build America Bonds.",
|
||||
)
|
||||
dynamic_futures_roll: bool | None = Field(
|
||||
default=None,
|
||||
description="If the product holds futures contracts, this field identifies those products where the roll strategy"
|
||||
+ " is dynamic (rather than entirely rules based), so as to minimize roll costs.",
|
||||
)
|
||||
currency_hedged: bool | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF's strategy involves hedging currency exposure.",
|
||||
)
|
||||
includes_short_exposure: bool | None = Field(
|
||||
default=None,
|
||||
description="This field is populated if the ETF has short exposure"
|
||||
+ " in any of its holdings e.g. in a long/short or inverse ETF.",
|
||||
)
|
||||
ucits: bool | None = Field(
|
||||
default=None,
|
||||
description="If true, the Exchange Traded Product (ETP) is Undertakings for the Collective Investment"
|
||||
+ " in Transferable Securities (UCITS) compliant",
|
||||
)
|
||||
registered_countries: str | None = Field(
|
||||
default=None,
|
||||
description="The list of countries where the ETF is legally registered for sale."
|
||||
+ " This may differ from where the ETF is domiciled or traded, particularly in Europe.",
|
||||
)
|
||||
issuer_country: str | None = Field(
|
||||
default=None,
|
||||
description="2 letter ISO country code for the country where the issuer is located.",
|
||||
)
|
||||
domicile: str | None = Field(
|
||||
default=None,
|
||||
description="2 letter ISO country code for the country where the ETP is domiciled.",
|
||||
)
|
||||
listing_country: str | None = Field(
|
||||
default=None,
|
||||
description="2 letter ISO country code for the country of the primary listing.",
|
||||
alias="listing_country_code",
|
||||
)
|
||||
listing_region: str | None = Field(
|
||||
default=None,
|
||||
description="Geographic region in the country of the primary listing falls.",
|
||||
)
|
||||
bond_currency_denomination: str | None = Field(
|
||||
default=None,
|
||||
description="For all bond ETFs, this field provides additional"
|
||||
+ " detail on the currency denomination of the underlying securities.",
|
||||
)
|
||||
base_currency: str | None = Field(
|
||||
default=None,
|
||||
description="Base currency in which NAV is reported.",
|
||||
)
|
||||
listing_currency: str | None = Field(
|
||||
default=None,
|
||||
description="Listing currency of the Exchange Traded Product (ETP) in which it is traded."
|
||||
+ " Reported using the 3-digit ISO currency code.",
|
||||
)
|
||||
number_of_holdings: int | None = Field(
|
||||
default=None,
|
||||
description="The number of holdings in the ETF.",
|
||||
)
|
||||
month_end_assets: float | None = Field(
|
||||
default=None,
|
||||
description="Net assets in millions of dollars as of the most recent month end.",
|
||||
)
|
||||
net_expense_ratio: float | None = Field(
|
||||
default=None,
|
||||
description="Gross expense net of Fee Waivers, as a percentage of net assets"
|
||||
+ " as published by the ETF issuer.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
etf_portfolio_turnover: float | None = Field(
|
||||
default=None,
|
||||
description="The percentage of positions turned over in the last 12 months.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfInfoFetcher(
|
||||
Fetcher[IntrinioEtfInfoQueryParams, list[IntrinioEtfInfoData]]
|
||||
):
|
||||
"""Intrinio ETF Info Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEtfInfoQueryParams:
|
||||
"""Transform query."""
|
||||
return IntrinioEtfInfoQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEtfInfoQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
base_url = "https://api-v2.intrinio.com/etfs/"
|
||||
symbols = query.symbol.split(",")
|
||||
symbols = [
|
||||
symbol + ":US" if ":" not in symbol else symbol for symbol in symbols
|
||||
]
|
||||
urls = [f"{base_url}{symbol}?api_key={api_key}" for symbol in symbols]
|
||||
|
||||
results = []
|
||||
|
||||
async def response_callback(response, _):
|
||||
"""Response callback."""
|
||||
result = await response.json()
|
||||
if "error" in result:
|
||||
warn(f"Symbol Error: {result['error']} for {response.url.parts[-1]}")
|
||||
return
|
||||
_ = result.pop("messages", None)
|
||||
results.append(result)
|
||||
|
||||
await amake_requests(urls, response_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("No data was returned.")
|
||||
|
||||
return sorted(
|
||||
results,
|
||||
key=(lambda item: (symbols.index(item.get("figi_ticker", len(symbols))))),
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEtfInfoQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEtfInfoData]:
|
||||
"""Transform data."""
|
||||
return [IntrinioEtfInfoData.model_validate(d) for d in data]
|
||||
@@ -1,227 +0,0 @@
|
||||
"""Intrinio ETF Performance Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from datetime import date as dateType
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.recent_performance import (
|
||||
RecentPerformanceData,
|
||||
RecentPerformanceQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import amake_request
|
||||
from openbb_intrinio.utils.references import ETF_PERFORMANCE_MAP
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioEtfPricePerformanceQueryParams(RecentPerformanceQueryParams):
|
||||
"""
|
||||
Intrinio ETF Performance Query Params.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_etf_stats_v2
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_etf_analytics_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
return_type: Literal["trailing", "calendar"] = Field(
|
||||
default="trailing",
|
||||
description="The type of returns to return, a trailing or calendar window.",
|
||||
)
|
||||
adjustment: Literal["splits_only", "splits_and_dividends"] = Field(
|
||||
default="splits_and_dividends",
|
||||
description="The adjustment factor, 'splits_only' will return pure price performance.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfPricePerformanceData(RecentPerformanceData):
|
||||
"""Intrinio ETF Performance Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"updated": "date",
|
||||
"year_high": "fifty_two_week_high",
|
||||
"year_low": "fifty_two_week_low",
|
||||
"volume": "volume_traded",
|
||||
"volume_avg_30": "average_daily_volume_one_month",
|
||||
"volume_avg_90": "average_daily_volume_three_month",
|
||||
"volume_avg_180": "average_daily_volume_six_month",
|
||||
}
|
||||
|
||||
max_annualized: float | None = Field(
|
||||
default=None,
|
||||
description="Annualized rate of return from inception.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
volatility_one_year: float | None = Field(
|
||||
default=None,
|
||||
description="Trailing one-year annualized volatility.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
volatility_three_year: float | None = Field(
|
||||
default=None,
|
||||
description="Trailing three-year annualized volatility.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
volatility_five_year: float | None = Field(
|
||||
default=None,
|
||||
description="Trailing five-year annualized volatility.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
volume: int | None = Field(
|
||||
default=None,
|
||||
description=DATA_DESCRIPTIONS.get("volume", ""),
|
||||
)
|
||||
volume_avg_30: float | None = Field(
|
||||
default=None,
|
||||
description="The one-month average daily volume.",
|
||||
)
|
||||
volume_avg_90: float | None = Field(
|
||||
default=None,
|
||||
description="The three-month average daily volume.",
|
||||
)
|
||||
volume_avg_180: float | None = Field(
|
||||
default=None,
|
||||
description="The six-month average daily volume.",
|
||||
)
|
||||
beta: float | None = Field(
|
||||
default=None,
|
||||
description="Beta compared to the S&P 500.",
|
||||
)
|
||||
nav: float | None = Field(
|
||||
default=None,
|
||||
description="Net asset value per share.",
|
||||
)
|
||||
year_high: float | None = Field(
|
||||
default=None,
|
||||
description="The 52-week high price.",
|
||||
)
|
||||
year_low: float | None = Field(
|
||||
default=None,
|
||||
description="The 52-week low price.",
|
||||
)
|
||||
|
||||
market_cap: float | None = Field(
|
||||
default=None,
|
||||
description="The market capitalization.",
|
||||
)
|
||||
shares_outstanding: int | None = Field(
|
||||
default=None,
|
||||
description="The number of shares outstanding.",
|
||||
)
|
||||
updated: dateType | None = Field(
|
||||
default=None,
|
||||
description=DATA_DESCRIPTIONS.get("date", ""),
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfPricePerformanceFetcher(
|
||||
Fetcher[
|
||||
IntrinioEtfPricePerformanceQueryParams, list[IntrinioEtfPricePerformanceData]
|
||||
]
|
||||
):
|
||||
"""Intrinio ETF Performance Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioEtfPricePerformanceQueryParams:
|
||||
"""Transform query."""
|
||||
return IntrinioEtfPricePerformanceQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEtfPricePerformanceQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
base_url = "https://api-v2.intrinio.com/etfs/"
|
||||
symbols = query.symbol.split(",")
|
||||
symbols = [
|
||||
symbol + ":US" if ":" not in symbol else symbol for symbol in symbols
|
||||
]
|
||||
|
||||
adjustment = (
|
||||
"split_only"
|
||||
if query.adjustment == "splits_and_dividends"
|
||||
else "split_and_dividend"
|
||||
)
|
||||
|
||||
return_type = "trailing" if query.return_type == "calendar" else "calendar"
|
||||
|
||||
results = []
|
||||
|
||||
async def get_one(symbol: str, **kwargs):
|
||||
"""Get data for one symbol."""
|
||||
|
||||
url = f"{base_url}{symbol}/stats?api_key={api_key}"
|
||||
result = await amake_request(url, **kwargs)
|
||||
|
||||
if "message" in result and result["message"] != []: # type: ignore
|
||||
warn(f"Symbol Error: {symbol} - {result['message']}") # type: ignore
|
||||
return
|
||||
_ = result.pop("message", None) # type: ignore
|
||||
_ = result.pop("messages", None) # type: ignore
|
||||
|
||||
data = {}
|
||||
etf = result.pop("etf", {}) # type: ignore
|
||||
data["symbol"] = etf.get("ticker")
|
||||
# These items will be kept regardless of the adjustment and return_type.
|
||||
keep = ["volatility", "month", "year_to_date"]
|
||||
for k, v in result.copy().items(): # type: ignore
|
||||
if not any(substring in k for substring in keep):
|
||||
_ = result.pop(k, None) if adjustment in k else None # type: ignore
|
||||
_ = result.pop(k, None) if return_type in k else None # type: ignore
|
||||
if k in result:
|
||||
data[ETF_PERFORMANCE_MAP.get(k, k)] = v
|
||||
# Get an additional set of data to combine with the first set.
|
||||
analytics_url = (
|
||||
f"https://api-v2.intrinio.com/etfs/{symbol}/analytics?api_key={api_key}"
|
||||
)
|
||||
if data:
|
||||
analytics = await amake_request(analytics_url, **kwargs)
|
||||
if "messages" in analytics and analytics["messages"] != []: # type: ignore
|
||||
warn(
|
||||
f"Symbol Error: {analytics['messages']}" # type: ignore
|
||||
+ f"for {etf.get('ticker')}" # type: ignore
|
||||
)
|
||||
return
|
||||
# Remove the duplicate data from the analytics response.
|
||||
_ = analytics.pop("messages", None) # type: ignore
|
||||
_ = analytics.pop("etf", None) # type: ignore
|
||||
_ = analytics.pop("date", None) # type: ignore
|
||||
|
||||
data.update(analytics) # type: ignore
|
||||
|
||||
results.append(data)
|
||||
|
||||
tasks = [get_one(symbol, **kwargs) for symbol in symbols]
|
||||
|
||||
await asyncio.gather(*tasks)
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("No data was returned.")
|
||||
|
||||
# Undo any formatting changes made to the symbols before sorting.
|
||||
symbols = query.symbol.replace(":US", "").split(",")
|
||||
|
||||
return sorted(
|
||||
results,
|
||||
key=(lambda item: (symbols.index(item.get("symbol", len(symbols))))),
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEtfPricePerformanceQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEtfPricePerformanceData]:
|
||||
"""Transform data."""
|
||||
return [IntrinioEtfPricePerformanceData.model_validate(d) for d in data]
|
||||
@@ -1,145 +0,0 @@
|
||||
"""Intrinio ETF Search Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.etf_search import (
|
||||
EtfSearchData,
|
||||
EtfSearchQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_intrinio.utils.references import ETF_EXCHANGES
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioEtfSearchQueryParams(EtfSearchQueryParams):
|
||||
"""
|
||||
Intrinio ETF Search Query Params.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/search_etfs_v2
|
||||
"""
|
||||
|
||||
exchange: None | ETF_EXCHANGES = Field(
|
||||
default=None,
|
||||
description="Target a specific exchange by providing the MIC code.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfSearchData(EtfSearchData):
|
||||
"""Intrinio ETF Search Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"intrinio_id": "id",
|
||||
"symbol": "ticker",
|
||||
"exchange": "exchange_mic",
|
||||
}
|
||||
|
||||
exchange: str | None = Field(
|
||||
default=None,
|
||||
description="The exchange MIC code.",
|
||||
)
|
||||
figi_ticker: str | None = Field(
|
||||
None,
|
||||
description="The OpenFIGI ticker.",
|
||||
)
|
||||
ric: str | None = Field(
|
||||
None,
|
||||
description="The Reuters Instrument Code.",
|
||||
)
|
||||
isin: str | None = Field(
|
||||
None,
|
||||
description="The International Securities Identification Number.",
|
||||
)
|
||||
sedol: str | None = Field(
|
||||
None,
|
||||
description="The Stock Exchange Daily Official List.",
|
||||
)
|
||||
intrinio_id: str | None = Field(
|
||||
None,
|
||||
description="The unique Intrinio ID for the security.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioEtfSearchFetcher(
|
||||
Fetcher[IntrinioEtfSearchQueryParams, list[IntrinioEtfSearchData]]
|
||||
):
|
||||
"""Intrinio ETF Search Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioEtfSearchQueryParams:
|
||||
"""Transform query."""
|
||||
return IntrinioEtfSearchQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioEtfSearchQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_request,
|
||||
)
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
BASE = "https://api-v2.intrinio.com/etfs"
|
||||
if query.exchange is not None:
|
||||
url = f"{BASE}?exchange={query.exchange.upper()}&page_size=10000&api_key={api_key}"
|
||||
elif query.query:
|
||||
url = f"{BASE}/search?query={query.query}&page_size=10000&api_key={api_key}"
|
||||
else:
|
||||
url = f"{BASE}?page_size=10000&api_key={api_key}"
|
||||
|
||||
data: list = []
|
||||
|
||||
async def response_callback(response: ClientResponse, session: ClientSession):
|
||||
"""Async response callback."""
|
||||
results = await response.json()
|
||||
|
||||
if results.get("messages"): # type: ignore
|
||||
messages = results.get("messages") # type: ignore
|
||||
raise OpenBBError(str(messages))
|
||||
|
||||
if results.get("etfs") and len(results.get("etfs")) > 0: # type: ignore
|
||||
data.extend(results.get("etfs")) # type: ignore
|
||||
while results.get("next_page"): # type: ignore
|
||||
next_page = results["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
results = await amake_request(next_url, session=session, **kwargs)
|
||||
if "etfs" in results and len(results.get("etfs")) > 0: # type: ignore
|
||||
data.extend(results.get("etfs")) # type: ignore
|
||||
return data
|
||||
|
||||
return await amake_request(url, response_callback=response_callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioEtfSearchQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioEtfSearchData]:
|
||||
"""Transform data."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import re # noqa
|
||||
from pandas import DataFrame # noqa
|
||||
|
||||
if not data:
|
||||
raise EmptyDataError("No data found.")
|
||||
|
||||
results = DataFrame(data)
|
||||
if query.query:
|
||||
pattern = f".*{re.escape(query.query)}.*"
|
||||
results = results[
|
||||
results["name"].str.contains(pattern, case=False, regex=True)
|
||||
]
|
||||
|
||||
return [
|
||||
IntrinioEtfSearchData.model_validate(d)
|
||||
for d in results.to_dict(orient="records")
|
||||
]
|
||||
@@ -1,80 +0,0 @@
|
||||
"""Intrinio Financial Attributes Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.financial_attributes import (
|
||||
FinancialAttributesData,
|
||||
FinancialAttributesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_many
|
||||
|
||||
|
||||
class IntrinioFinancialAttributesQueryParams(FinancialAttributesQueryParams):
|
||||
"""Intrinio Financial Attributes Query."""
|
||||
|
||||
__alias_dict__ = {"sort": "sort_order", "limit": "page_size"}
|
||||
|
||||
|
||||
class IntrinioFinancialAttributesData(FinancialAttributesData):
|
||||
"""Intrinio Financial Attributes Data."""
|
||||
|
||||
|
||||
class IntrinioFinancialAttributesFetcher(
|
||||
Fetcher[
|
||||
IntrinioFinancialAttributesQueryParams,
|
||||
list[IntrinioFinancialAttributesData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioFinancialAttributesQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=5)
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioFinancialAttributesQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioFinancialAttributesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
frequency = "yearly" if query.period == "annual" else "quarterly"
|
||||
data: list[dict] = []
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["frequency"])
|
||||
query_str = f"{query_str}&frequency={frequency}"
|
||||
|
||||
url = f"{base_url}/historical_data/{query.symbol}/{query.tag}?{query_str}&api_key={api_key}"
|
||||
# data = get_data_one(url).get("historical_data", [])
|
||||
data = await get_data_many(url, "historical_data")
|
||||
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioFinancialAttributesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioFinancialAttributesData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioFinancialAttributesData.model_validate(item) for item in data]
|
||||
@@ -1,322 +0,0 @@
|
||||
"""Intrinio Financial Ratios Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.financial_ratios import (
|
||||
FinancialRatiosData,
|
||||
FinancialRatiosQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import ClientResponse, amake_requests
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class IntrinioFinancialRatiosQueryParams(FinancialRatiosQueryParams):
|
||||
"""Intrinio Financial Ratios Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_fundamentals_v2
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_fundamental_standardized_financials_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"period": {
|
||||
"choices": ["annual", "quarter", "ttm", "ytd"],
|
||||
}
|
||||
}
|
||||
period: Literal["annual", "quarter", "ttm", "ytd"] = Field(
|
||||
default="annual",
|
||||
description=QUERY_DESCRIPTIONS.get("period", ""),
|
||||
)
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The specific fiscal year. Reports do not go beyond 2008.",
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="after", check_fields=False)
|
||||
@classmethod
|
||||
def handle_symbol(cls, v) -> str:
|
||||
"""Handle symbols with a dash and replace it with a dot for Intrinio."""
|
||||
return v.replace("-", ".")
|
||||
|
||||
|
||||
class IntrinioFinancialRatiosData(FinancialRatiosData):
|
||||
"""Intrinio Financial Ratios Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"net_operating_profit_after_tax_margin": "nopatmargin",
|
||||
"invested_capital_turnover": "investedcapitalturnover",
|
||||
"book_value_per_share": "bookvaluepershare",
|
||||
"tangible_book_value": "tangiblebookvaluepershare",
|
||||
"price_to_book_ratio": "pricetobook",
|
||||
"price_to_tangible_book_ratio": "pricetotangiblebook",
|
||||
"price_to_revenue": "pricetorevenue",
|
||||
"price_to_earnings": "pricetoearnings",
|
||||
"dividend_yield": "dividendyield",
|
||||
"earnings_yield": "earningsyield",
|
||||
"ev_to_invested_capital": "evtoinvestedcapital",
|
||||
"ev_to_sales": "evtorevenue",
|
||||
"ev_to_ebitda": "evtoebitda",
|
||||
"ev_to_ebit": "evtoebit",
|
||||
"ev_to_nopat": "evtonopat",
|
||||
"ev_to_operating_cash_flow": "evtoocf",
|
||||
"ev_to_free_cash_flow": "evtofcff",
|
||||
"gross_margin": "grossmargin",
|
||||
"ebitda_margin": "ebitdamargin",
|
||||
"operating_margin": "operatingmargin",
|
||||
"ebit_margin": "ebitmargin",
|
||||
"net_profit_margin": "profitmargin",
|
||||
"cost_of_rev_to_revenue": "costofrevtorevenue",
|
||||
"sga_expense_to_revenue": "sgaextorevenue",
|
||||
"rd_expense_to_revenue": "rdextorevenue",
|
||||
"op_expense_to_revenue": "opextorevenue",
|
||||
"tax_burden_percent": "taxburdenpct",
|
||||
"interest_burden_percent": "interestburdenpct",
|
||||
"effective_tax_rate": "efftaxrate",
|
||||
"asset_turnover": "assetturnover",
|
||||
"receivables_turnover": "arturnover",
|
||||
"inventory_turnover": "invturnover",
|
||||
"fixed_asset_turnover": "faturnover",
|
||||
"payables_turnover": "apturnover",
|
||||
"days_of_sales_outstanding": "dso",
|
||||
"days_of_inventory_outstanding": "dio",
|
||||
"days_payable_outstanding": "dpo",
|
||||
"cash_conversion_cycle": "ccc",
|
||||
"financial_leverage": "finleverage",
|
||||
"leverage_ratio": "leverageratio",
|
||||
"compound_leverage_factor": "compoundleveragefactor",
|
||||
"long_term_debt_equity_ratio": "ltdebttoequity",
|
||||
"debt_equity_ratio": "debttoequity",
|
||||
"return_on_invested_capital": "roic",
|
||||
"net_non_operating_expense_percent": "nnep",
|
||||
"roic_nnep_spread": "roicnnepspread",
|
||||
"return_on_net_non_operating_assets": "rnnoa",
|
||||
"return_on_equity": "roe",
|
||||
"cash_returned_on_invested_capitals": "croic",
|
||||
"operating_return_on_assets": "oroa",
|
||||
"return_on_assets": "roa",
|
||||
"non_controlling_interest_sharing_ratio": "noncontrollinginterestsharingratio",
|
||||
"return_on_common_equity": "roce",
|
||||
"dividend_payout_ratio": "divpayoutratio",
|
||||
"augmented_payout_ratio": "augmentedpayoutratio",
|
||||
"operating_cash_flow_to_capex": "ocftocapex",
|
||||
"short_term_debt_to_capitalization": "stdebttocap",
|
||||
"long_term_debt_to_capitalization": "ltdebttocap",
|
||||
"debt_to_capitalization": "debttototalcapital",
|
||||
"preferred_equity_to_capitalization": "preferredtocap",
|
||||
"non_controlling_interests_to_capitalization": "noncontrolinttocap",
|
||||
"equity_to_capitalization": "commontocap",
|
||||
"debt_to_ebitda": "debttoebitda",
|
||||
"net_debt_to_ebitda": "netdebttoebitda",
|
||||
"long_term_debt_to_ebita": "ltdebttoebitda",
|
||||
"debt_to_nopat": "debttonopat",
|
||||
"net_debt_to_nopat": "netdebttonopat",
|
||||
"long_term_debt_to_nopat": "ltdebttonopat",
|
||||
"altman_z_score": "altmanzscore",
|
||||
"ebit_to_interest_expense": "ebittointerestex",
|
||||
"nopat_to_intersest_expense": "nopattointerestex",
|
||||
"ebit_less_capex_to_interest_expense": "ebitlesscapextointerestex",
|
||||
"nopat_less_capex_to_interest_expense": "nopatlesscapextointex",
|
||||
"operating_cash_flow_to_interest_expense": "ocftointerestex",
|
||||
"operating_cash_flow_less_capex_to_interest_expense": "ocflesscapextointerestex",
|
||||
"free_cash_flow_to_interest_expense": "fcfftointerestex",
|
||||
"current_ratio": "curratio",
|
||||
"quick_ratio": "quickratio",
|
||||
"debt_free_cash_free_nwc_to_revenue": "dfcfnwctorev",
|
||||
"debt_free_nwc_to_revenue": "dfnwctorev",
|
||||
"net_working_capital_to_revenue": "nwctorev",
|
||||
"normalized_nopat_margin": "normalizednopatmargin",
|
||||
"pre_tax_income_margin": "pretaxincomemargin",
|
||||
"adjusted_basic_eps": "adjbasiceps",
|
||||
"adjusted_diluted_eps": "adjdilutedeps",
|
||||
"adjusted_basic_diluted_eps": "adjbasicdilutedeps",
|
||||
"return_on_equity_simple": "roe_simple",
|
||||
}
|
||||
|
||||
|
||||
class IntrinioFinancialRatiosFetcher(
|
||||
Fetcher[
|
||||
IntrinioFinancialRatiosQueryParams,
|
||||
list[IntrinioFinancialRatiosData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioFinancialRatiosQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioFinancialRatiosQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioFinancialRatiosQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
statement_code = "calculations"
|
||||
if query.period in ["quarter", "annual"]:
|
||||
period_type = "FY" if query.period == "annual" else "QTR"
|
||||
elif query.period in ["ttm", "ytd"]:
|
||||
period_type = query.period.upper()
|
||||
else:
|
||||
raise OpenBBError(f"Period '{query.period}' not supported.")
|
||||
|
||||
fundamentals_data: dict = {}
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
fundamentals_url = (
|
||||
f"{base_url}/companies/{query.symbol}"
|
||||
f"/fundamentals?statement_code={statement_code}&type={period_type}"
|
||||
)
|
||||
if query.fiscal_year is not None:
|
||||
if query.fiscal_year < 2008:
|
||||
warn("Financials data is only available from 2008 and later.")
|
||||
query.fiscal_year = 2008
|
||||
fundamentals_url = fundamentals_url + f"&fiscal_year={query.fiscal_year}"
|
||||
fundamentals_url = fundamentals_url + f"&api_key={api_key}"
|
||||
fundamentals_data = (await get_data_one(fundamentals_url, **kwargs)).get(
|
||||
"fundamentals", []
|
||||
)
|
||||
ids = [item["id"] for item in fundamentals_data]
|
||||
ids = ids[: query.limit]
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
statement_data = await response.json()
|
||||
return {
|
||||
"period_ending": statement_data["fundamental"]["end_date"], # type: ignore
|
||||
"fiscal_year": statement_data["fundamental"]["fiscal_year"], # type: ignore
|
||||
"fiscal_period": statement_data["fundamental"]["fiscal_period"], # type: ignore
|
||||
"calculations": statement_data["standardized_financials"], # type: ignore
|
||||
}
|
||||
|
||||
urls = [
|
||||
f"https://api-v2.intrinio.com/fundamentals/{id}/standardized_financials?api_key={api_key}"
|
||||
for id in ids
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioFinancialRatiosQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioFinancialRatiosData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[IntrinioFinancialRatiosData] = []
|
||||
|
||||
tags = [
|
||||
"nopatmargin",
|
||||
"investedcapitalturnover",
|
||||
"bookvaluepershare",
|
||||
"tangiblebookvaluepershare",
|
||||
"pricetobook",
|
||||
"pricetotangiblebook",
|
||||
"pricetorevenue",
|
||||
"pricetoearnings",
|
||||
"dividendyield",
|
||||
"earningsyield",
|
||||
"evtoinvestedcapital",
|
||||
"evtorevenue",
|
||||
"evtoebitda",
|
||||
"evtoebit",
|
||||
"evtonopat",
|
||||
"evtoocf",
|
||||
"evtofcff",
|
||||
"grossmargin",
|
||||
"ebitdamargin",
|
||||
"operatingmargin",
|
||||
"ebitmargin",
|
||||
"profitmargin",
|
||||
"costofrevtorevenue",
|
||||
"sgaextorevenue",
|
||||
"rdextorevenue",
|
||||
"opextorevenue",
|
||||
"taxburdenpct",
|
||||
"interestburdenpct",
|
||||
"efftaxrate",
|
||||
"assetturnover",
|
||||
"arturnover",
|
||||
"invturnover",
|
||||
"faturnover",
|
||||
"apturnover",
|
||||
"dso",
|
||||
"dio",
|
||||
"dpo",
|
||||
"ccc",
|
||||
"finleverage",
|
||||
"leverageratio",
|
||||
"compoundleveragefactor",
|
||||
"ltdebttoequity",
|
||||
"debttoequity",
|
||||
"roic",
|
||||
"nnep",
|
||||
"roicnnepspread",
|
||||
"rnnoa",
|
||||
"roe",
|
||||
"croic",
|
||||
"oroa",
|
||||
"roa",
|
||||
"noncontrollinginterestsharingratio",
|
||||
"roce",
|
||||
"divpayoutratio",
|
||||
"augmentedpayoutratio",
|
||||
"ocftocapex",
|
||||
"stdebttocap",
|
||||
"ltdebttocap",
|
||||
"debttototalcapital",
|
||||
"preferredtocap",
|
||||
"noncontrolinttocap",
|
||||
"commontocap",
|
||||
"debttoebitda",
|
||||
"netdebttoebitda",
|
||||
"ltdebttoebitda",
|
||||
"debttonopat",
|
||||
"netdebttonopat",
|
||||
"ltdebttonopat",
|
||||
"altmanzscore",
|
||||
"ebittointerestex",
|
||||
"nopattointerestex",
|
||||
"ebitlesscapextointerestex",
|
||||
"nopatlesscapextointex",
|
||||
"ocftointerestex",
|
||||
"ocflesscapextointerestex",
|
||||
"fcfftointerestex",
|
||||
"curratio",
|
||||
"quickratio",
|
||||
"dfcfnwctorev",
|
||||
"dfnwctorev",
|
||||
"nwctorev",
|
||||
"normalizednopatmargin",
|
||||
"pretaxincomemargin",
|
||||
"adjbasiceps",
|
||||
"adjdilutedeps",
|
||||
"adjbasicdilutedeps",
|
||||
"roe_simple",
|
||||
]
|
||||
|
||||
for item in data:
|
||||
sub_dict: dict[str, Any] = {}
|
||||
|
||||
for sub_item in item["calculations"]:
|
||||
field_name = sub_item["data_tag"]["tag"]
|
||||
if field_name in tags:
|
||||
sub_dict[field_name] = (
|
||||
float(sub_item["value"])
|
||||
if sub_item["value"] and sub_item["value"] != 0
|
||||
else None
|
||||
)
|
||||
|
||||
sub_dict["period_ending"] = item["period_ending"]
|
||||
sub_dict["fiscal_year"] = item["fiscal_year"]
|
||||
sub_dict["fiscal_period"] = item["fiscal_period"]
|
||||
|
||||
transformed_data.append(IntrinioFinancialRatiosData(**sub_dict))
|
||||
|
||||
return transformed_data
|
||||
@@ -1,199 +0,0 @@
|
||||
"""Intrinio Forward EBITDA Estimates Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.forward_ebitda_estimates import (
|
||||
ForwardEbitdaEstimatesData,
|
||||
ForwardEbitdaEstimatesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioForwardEbitdaEstimatesQueryParams(ForwardEbitdaEstimatesQueryParams):
|
||||
"""Intrinio Forward EBITDA Estimates Query.
|
||||
|
||||
https://docs.intrinio.com/documentation/web_api/get_zacks_sales_estimates_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
__alias_dict__ = {"estimate_type": "type"}
|
||||
|
||||
fiscal_period: Literal["annual", "quarter"] | None = Field(
|
||||
default=None, description="Filter for only full-year or quarterly estimates."
|
||||
)
|
||||
estimate_type: (
|
||||
Literal[
|
||||
"ebitda", "ebit", "enterprise_value", "cash_flow_per_share", "pretax_income"
|
||||
]
|
||||
| None
|
||||
) = Field(
|
||||
default=None,
|
||||
description="Limit the EBITDA estimates to this type.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioForwardEbitdaEstimatesData(ForwardEbitdaEstimatesData):
|
||||
"""Intrinio Forward EBITDA Estimates Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"last_updated": "updated_date",
|
||||
"symbol": "ticker",
|
||||
"calendar_period": "estimate_month",
|
||||
"name": "company_name",
|
||||
"fiscal_year": "estimate_year",
|
||||
"fiscal_period": "period",
|
||||
"low_estimate": "low",
|
||||
"high_estimate": "high",
|
||||
"number_of_analysts": "estimate_count",
|
||||
"standard_deviation": "std_dev",
|
||||
}
|
||||
|
||||
conensus_type: (
|
||||
Literal[
|
||||
"ebitda",
|
||||
"ebitda",
|
||||
"ebit",
|
||||
"enterprise_value",
|
||||
"cash_flow_per_share",
|
||||
"pretax_income",
|
||||
]
|
||||
| None
|
||||
) = Field(
|
||||
default=None,
|
||||
description="The type of estimate.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioForwardEbitdaEstimatesFetcher(
|
||||
Fetcher[
|
||||
IntrinioForwardEbitdaEstimatesQueryParams,
|
||||
list[IntrinioForwardEbitdaEstimatesData],
|
||||
]
|
||||
):
|
||||
"""Intrinio Forward EBITDA Estimates Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioForwardEbitdaEstimatesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioForwardEbitdaEstimatesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioForwardEbitdaEstimatesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
BASE_URL = (
|
||||
"https://api-v2.intrinio.com/zacks/ebitda_consensus?"
|
||||
+ f"page_size=10000&api_key={api_key}"
|
||||
)
|
||||
symbols = query.symbol.split(",") if query.symbol else None
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol"])
|
||||
results: list[dict] = []
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{BASE_URL}&identifier={symbol}"
|
||||
url = url + f"&{query_str}" if query_str else url
|
||||
data = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
consensus = (
|
||||
data.get("ebitda_consensus")
|
||||
if isinstance(data, dict) and "ebitda_consensus" in data
|
||||
else []
|
||||
)
|
||||
if not data or not consensus:
|
||||
warn(f"Symbol Error: No data found for {symbol}")
|
||||
if consensus:
|
||||
results.extend(consensus)
|
||||
|
||||
if symbols:
|
||||
await asyncio.gather(*[get_one(symbol) for symbol in symbols])
|
||||
if not results:
|
||||
raise EmptyDataError(f"No results were found. -> {query.symbol}")
|
||||
return results
|
||||
|
||||
async def fetch_callback(response, session):
|
||||
"""Use callback for pagination."""
|
||||
data = await response.json()
|
||||
error = data.get("error", None)
|
||||
if error:
|
||||
message = data.get("message", "")
|
||||
if "api key" in message.lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {message}"
|
||||
)
|
||||
raise OpenBBError(f"Error: {error} -> {message}")
|
||||
|
||||
estimates = data.get("ebitda_consensus", []) # type: ignore
|
||||
if estimates and len(estimates) > 0:
|
||||
results.extend(estimates)
|
||||
while data.get("next_page"): # type: ignore
|
||||
next_page = data["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
data = await amake_request(next_url, session=session, **kwargs)
|
||||
consensus = (
|
||||
data.get("ebitda_consensus")
|
||||
if isinstance(data, dict) and "ebitda_consensus" in data
|
||||
else []
|
||||
)
|
||||
if consensus:
|
||||
results.extend(consensus) # type: ignore
|
||||
return results
|
||||
|
||||
url = f"{BASE_URL}&{query_str}" if query_str else BASE_URL
|
||||
|
||||
results = await amake_request(url, response_callback=fetch_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The request was successful but was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioForwardEbitdaEstimatesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioForwardEbitdaEstimatesData]:
|
||||
"""Transform the raw data into the standard format."""
|
||||
if not data:
|
||||
raise EmptyDataError()
|
||||
results: list[IntrinioForwardEbitdaEstimatesData] = []
|
||||
fiscal_period = None
|
||||
if query.fiscal_period is not None:
|
||||
fiscal_period = "fy" if query.fiscal_period == "annual" else "fq"
|
||||
for item in data:
|
||||
estimate_count = item.get("estimate_count")
|
||||
if (
|
||||
not estimate_count
|
||||
or estimate_count == 0
|
||||
or not item.get("updated_date")
|
||||
):
|
||||
continue
|
||||
if fiscal_period and item.get("period") != fiscal_period:
|
||||
continue
|
||||
results.append(IntrinioForwardEbitdaEstimatesData.model_validate(item))
|
||||
if not results:
|
||||
raise EmptyDataError()
|
||||
|
||||
return sorted(
|
||||
results, key=lambda x: (x.fiscal_year, x.last_updated), reverse=True
|
||||
)
|
||||
@@ -1,231 +0,0 @@
|
||||
"""Intrinio Forward EPS Estimates Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.forward_eps_estimates import (
|
||||
ForwardEpsEstimatesData,
|
||||
ForwardEpsEstimatesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from pydantic import Field, field_validator, model_validator
|
||||
|
||||
|
||||
class IntrinioForwardEpsEstimatesQueryParams(ForwardEpsEstimatesQueryParams):
|
||||
"""Intrinio Forward EPS Estimates Query.
|
||||
|
||||
https://docs.intrinio.com/documentation/web_api/get_zacks_sales_estimates_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The future fiscal year to retrieve estimates for."
|
||||
+ " When no symbol and year is supplied the current calendar year is used.",
|
||||
)
|
||||
fiscal_period: Literal["fy", "q1", "q2", "q3", "q4"] | None = Field(
|
||||
default=None,
|
||||
description="The future fiscal period to retrieve estimates for.",
|
||||
)
|
||||
calendar_year: int | None = Field(
|
||||
default=None,
|
||||
description="The future calendar year to retrieve estimates for."
|
||||
+ " When no symbol and year is supplied the current calendar year is used.",
|
||||
)
|
||||
calendar_period: Literal["q1", "q2", "q3", "q4"] | None = Field(
|
||||
default=None,
|
||||
description="The future calendar period to retrieve estimates for.",
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
@classmethod
|
||||
def validate_choices(cls, values):
|
||||
"""Validate the model and set a safe default state."""
|
||||
if values.symbol is None and (
|
||||
values.calendar_year is None and values.fiscal_year is None
|
||||
):
|
||||
values.calendar_year = datetime.now().year
|
||||
return values
|
||||
|
||||
|
||||
class IntrinioForwardEpsEstimatesData(ForwardEpsEstimatesData):
|
||||
"""Intrinio Forward EPS Estimates Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"high_estimate": "high",
|
||||
"low_estimate": "low",
|
||||
"number_of_analysts": "count",
|
||||
"mean": "estimated_sales_mean",
|
||||
"revisions_change_percent": "percent_change",
|
||||
"mean_1w": "mean_7_days_ago",
|
||||
"mean_1m": "mean_30_days_ago",
|
||||
"mean_2m": "mean_60_days_ago",
|
||||
"mean_3m": "mean_90_days_ago",
|
||||
}
|
||||
|
||||
revisions_change_percent: float | None = Field(
|
||||
default=None,
|
||||
description="The earnings per share (EPS) percent change in estimate for the period.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
mean_1w: float | None = Field(
|
||||
default=None,
|
||||
description="The mean estimate for the period one week ago.",
|
||||
)
|
||||
mean_1m: float | None = Field(
|
||||
default=None,
|
||||
description="The mean estimate for the period one month ago.",
|
||||
)
|
||||
mean_2m: float | None = Field(
|
||||
default=None,
|
||||
description="The mean estimate for the period two months ago.",
|
||||
)
|
||||
mean_3m: float | None = Field(
|
||||
default=None,
|
||||
description="The mean estimate for the period three months ago.",
|
||||
)
|
||||
|
||||
@field_validator(
|
||||
"revisions_change_percent",
|
||||
mode="before",
|
||||
check_fields=False,
|
||||
)
|
||||
@classmethod
|
||||
def normalize_percent(cls, v: int | float | None) -> int | float | None:
|
||||
"""Normalize percent values."""
|
||||
return v / 100 if v else None
|
||||
|
||||
|
||||
class IntrinioForwardEpsEstimatesFetcher(
|
||||
Fetcher[
|
||||
IntrinioForwardEpsEstimatesQueryParams, list[IntrinioForwardEpsEstimatesData]
|
||||
]
|
||||
):
|
||||
"""Intrinio Forward EPS Estimates Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioForwardEpsEstimatesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioForwardEpsEstimatesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioForwardEpsEstimatesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
BASE_URL = "https://api-v2.intrinio.com/zacks/eps_estimates?page_size=10000"
|
||||
|
||||
symbols = query.symbol.split(",") if query.symbol else None
|
||||
|
||||
query_str = get_querystring(
|
||||
query.model_dump(by_alias=True),
|
||||
["symbol", "calendar_period", "fiscal_period", "limit"],
|
||||
)
|
||||
|
||||
results: list[dict] = []
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{BASE_URL}&identifier={symbol}&{query_str}&api_key={api_key}"
|
||||
new_data: list[dict] = []
|
||||
data = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
if not data or not isinstance(data, dict) or not data.get("estimates"):
|
||||
warn(f"Symbol Error: No data found for {symbol}")
|
||||
if isinstance(data, dict) and data.get("estimates"):
|
||||
new_data = data.get("estimates") # type: ignore
|
||||
if new_data:
|
||||
results.extend(new_data)
|
||||
|
||||
if symbols:
|
||||
await asyncio.gather(*[get_one(symbol) for symbol in symbols])
|
||||
return results
|
||||
|
||||
async def fetch_callback(response, session):
|
||||
"""Use callback for pagination."""
|
||||
data = await response.json()
|
||||
error = data.get("error", None)
|
||||
if error:
|
||||
message = data.get("message", "")
|
||||
if "api key" in message.lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {message}"
|
||||
)
|
||||
raise OpenBBError(f"Error: {error} -> {message}")
|
||||
|
||||
if data.get("estimates") and len(data.get("estimates")) > 0: # type: ignore
|
||||
results.extend(data.get("estimates")) # type: ignore
|
||||
while data.get("next_page"): # type: ignore
|
||||
next_page = data["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
data = await amake_request(next_url, session=session, **kwargs)
|
||||
if "estimates" in data and len(data.get("estimates")) > 0: # type: ignore
|
||||
results.extend(data.get("estimates")) # type: ignore
|
||||
return results
|
||||
|
||||
url = f"{BASE_URL}&{query_str}&api_key={api_key}"
|
||||
|
||||
results = await amake_request(url, response_callback=fetch_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The request was successful but was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioForwardEpsEstimatesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioForwardEpsEstimatesData]:
|
||||
"""Transform the raw data into the standard format."""
|
||||
symbols = query.symbol.split(",") if query.symbol else []
|
||||
results: list[IntrinioForwardEpsEstimatesData] = []
|
||||
for item in sorted(
|
||||
data,
|
||||
key=lambda item: ( # type: ignore
|
||||
(
|
||||
symbols.index(item.get("symbol")) if item.get("symbol") in symbols else len(symbols), # type: ignore
|
||||
item.get("date"),
|
||||
)
|
||||
if symbols
|
||||
else item.get("date")
|
||||
),
|
||||
):
|
||||
temp: dict[str, Any] = {}
|
||||
company = item.pop("company")
|
||||
if company.get("ticker") is None:
|
||||
continue
|
||||
temp["symbol"] = company.get("ticker")
|
||||
temp["name"] = company.get("name")
|
||||
if query.fiscal_period and query.fiscal_period.upper() != item.get(
|
||||
"fiscal_period"
|
||||
):
|
||||
continue
|
||||
if query.calendar_period and query.calendar_period.upper() != item.get(
|
||||
"calendar_period"
|
||||
):
|
||||
continue
|
||||
temp.update(item)
|
||||
results.append(IntrinioForwardEpsEstimatesData.model_validate(temp))
|
||||
|
||||
return results
|
||||
@@ -1,163 +0,0 @@
|
||||
"""Intrinio Forward PE Estimates Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import date as dateType
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.forward_pe_estimates import (
|
||||
ForwardPeEstimatesData,
|
||||
ForwardPeEstimatesQueryParams,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioForwardPeEstimatesQueryParams(ForwardPeEstimatesQueryParams):
|
||||
"""Intrinio Forward PE Estimates Query.
|
||||
|
||||
https://api-v2.intrinio.com/zacks/forward_pe?
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
|
||||
class IntrinioForwardPeEstimatesData(ForwardPeEstimatesData):
|
||||
"""Intrinio Forward PE Estimates Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
"name": "company_name",
|
||||
"year1": "forward_pe_year1",
|
||||
"year2": "forward_pe_year2",
|
||||
"year3": "forward_pe_year3",
|
||||
"year4": "forward_pe_year4",
|
||||
"year5": "forward_pe_year5",
|
||||
"peg_ratio_year1": "forward_peg_ratio_year1",
|
||||
"eps_ttm": "latest_ttm_eps",
|
||||
"last_updated": "updated_date",
|
||||
}
|
||||
|
||||
peg_ratio_year1: float | None = Field(
|
||||
default=None,
|
||||
description="Estimated Forward PEG ratio for the next fiscal year.",
|
||||
)
|
||||
eps_ttm: float | None = Field(
|
||||
default=None,
|
||||
description="The latest trailing twelve months earnings per share.",
|
||||
)
|
||||
last_updated: dateType | None = Field(
|
||||
default=None,
|
||||
description="The date the data was last updated.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioForwardPeEstimatesFetcher(
|
||||
Fetcher[IntrinioForwardPeEstimatesQueryParams, list[IntrinioForwardPeEstimatesData]]
|
||||
):
|
||||
"""Intrinio Forward PE Estimates Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioForwardPeEstimatesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioForwardPeEstimatesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioForwardPeEstimatesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import asyncio # noqa
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import amake_request
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
BASE_URL = "https://api-v2.intrinio.com/zacks/forward_pe"
|
||||
symbols = query.symbol.split(",") if query.symbol else None
|
||||
results: list[dict] = []
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{BASE_URL}/{symbol}?api_key={api_key}"
|
||||
try:
|
||||
data = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
except Exception as e:
|
||||
raise OpenBBError(e) from e
|
||||
|
||||
if data:
|
||||
results.append(data) # type: ignore
|
||||
|
||||
if symbols:
|
||||
try:
|
||||
gather_results = await asyncio.gather(
|
||||
*[get_one(symbol) for symbol in symbols], return_exceptions=True
|
||||
)
|
||||
|
||||
for result in gather_results:
|
||||
if isinstance(result, UnauthorizedError):
|
||||
raise result
|
||||
if isinstance(result, OpenBBError):
|
||||
raise result
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError(
|
||||
f"There were no results found for any of the given symbols. -> {symbols}"
|
||||
)
|
||||
return results
|
||||
except Exception as e:
|
||||
raise OpenBBError(
|
||||
f"Error in Intrinio request -> {e} -> {symbols}"
|
||||
) from e
|
||||
|
||||
async def fetch_callback(response, session):
|
||||
"""Use callback for pagination."""
|
||||
data = await response.json()
|
||||
error = data.get("error", None)
|
||||
|
||||
if error:
|
||||
message = data.get("message", "")
|
||||
if "api key" in message.lower() or "view this data" in error.lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {message} -> {error}"
|
||||
)
|
||||
raise OpenBBError(f"Error: {error} -> {message}")
|
||||
|
||||
forward_pe = data.get("forward_pe")
|
||||
|
||||
if forward_pe and len(forward_pe) > 0: # type: ignore
|
||||
results.extend(forward_pe) # type: ignore
|
||||
|
||||
return results
|
||||
|
||||
url = f"{BASE_URL}?page_size=10000&api_key={api_key}"
|
||||
results = await amake_request(url, response_callback=fetch_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The request was successful but was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioForwardPeEstimatesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioForwardPeEstimatesData]:
|
||||
"""Transform the raw data into the standard format."""
|
||||
symbols = query.symbol.split(",") if query.symbol else []
|
||||
if symbols:
|
||||
data.sort(
|
||||
key=lambda item: (
|
||||
symbols.index(item.get("ticker")) if item.get("ticker") in symbols else len(symbols) # type: ignore
|
||||
)
|
||||
)
|
||||
return [IntrinioForwardPeEstimatesData.model_validate(d) for d in data]
|
||||
@@ -1,249 +0,0 @@
|
||||
"""Intrinio Forward Sales Estimates Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.forward_sales_estimates import (
|
||||
ForwardSalesEstimatesData,
|
||||
ForwardSalesEstimatesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from pydantic import Field, field_validator, model_validator
|
||||
|
||||
|
||||
class IntrinioForwardSalesEstimatesQueryParams(ForwardSalesEstimatesQueryParams):
|
||||
"""Intrinio Forward Sales Estimates Query.
|
||||
|
||||
https://docs.intrinio.com/documentation/web_api/get_zacks_sales_estimates_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The future fiscal year to retrieve estimates for."
|
||||
+ " When no symbol and year is supplied the current calendar year is used.",
|
||||
)
|
||||
fiscal_period: Literal["fy", "q1", "q2", "q3", "q4"] | None = Field(
|
||||
default=None,
|
||||
description="The future fiscal period to retrieve estimates for.",
|
||||
)
|
||||
calendar_year: int | None = Field(
|
||||
default=None,
|
||||
description="The future calendar year to retrieve estimates for."
|
||||
+ " When no symbol and year is supplied the current calendar year is used.",
|
||||
)
|
||||
calendar_period: Literal["q1", "q2", "q3", "q4"] | None = Field(
|
||||
default=None,
|
||||
description="The future calendar period to retrieve estimates for.",
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
@classmethod
|
||||
def validate_choices(cls, values):
|
||||
"""Validate the model and set a safe default state."""
|
||||
if values.symbol is None and (
|
||||
values.calendar_year is None and values.fiscal_year is None
|
||||
):
|
||||
values.calendar_year = datetime.now().year
|
||||
return values
|
||||
|
||||
|
||||
class IntrinioForwardSalesEstimatesData(ForwardSalesEstimatesData):
|
||||
"""Intrinio Forward Sales Estimates Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"low_estimate": "low",
|
||||
"high_estimate": "high",
|
||||
"number_of_analysts": "count",
|
||||
"mean": "estimated_sales_mean",
|
||||
"revisions_1w_up": "analyst_revisions_up_1w",
|
||||
"revisions_1w_down": "analyst_revisions_down_1w",
|
||||
"revisions_1w_change_percent": "analyst_revisions_percent_change_1w",
|
||||
"revisions_1m_up": "analyst_revisions_up_1m",
|
||||
"revisions_1m_down": "analyst_revisions_down_1m",
|
||||
"revisions_1m_change_percent": "analyst_revisions_percent_change_1m",
|
||||
"revisions_3m_up": "analyst_revisions_up_3m",
|
||||
"revisions_3m_down": "analyst_revisions_down_3m",
|
||||
"revisions_3m_change_percent": "analyst_revisions_percent_change_3m",
|
||||
}
|
||||
|
||||
revisions_1w_up: int | None = Field(
|
||||
default=None, description="Number of revisions up in the last week."
|
||||
)
|
||||
revisions_1w_down: int | None = Field(
|
||||
default=None, description="Number of revisions down in the last week."
|
||||
)
|
||||
revisions_1w_change_percent: float | None = Field(
|
||||
default=None,
|
||||
description="The analyst revisions percent change in estimate for the period of 1 week.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
revisions_1m_up: int | None = Field(
|
||||
default=None, description="Number of revisions up in the last month."
|
||||
)
|
||||
revisions_1m_down: int | None = Field(
|
||||
default=None, description="Number of revisions down in the last month."
|
||||
)
|
||||
revisions_1m_change_percent: float | None = Field(
|
||||
default=None,
|
||||
description="The analyst revisions percent change in estimate for the period of 1 month.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
revisions_3m_up: int | None = Field(
|
||||
default=None, description="Number of revisions up in the last 3 months."
|
||||
)
|
||||
revisions_3m_down: int | None = Field(
|
||||
default=None, description="Number of revisions down in the last 3 months."
|
||||
)
|
||||
revisions_3m_change_percent: float | None = Field(
|
||||
default=None,
|
||||
description="The analyst revisions percent change in estimate for the period of 3 months.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
|
||||
@field_validator(
|
||||
"revisions_1w_change_percent",
|
||||
"revisions_1m_change_percent",
|
||||
"revisions_3m_change_percent",
|
||||
mode="before",
|
||||
check_fields=False,
|
||||
)
|
||||
@classmethod
|
||||
def normalize_percent(cls, v: int | float | None) -> int | float | None:
|
||||
"""Normalize percent values."""
|
||||
return v / 100 if v else None
|
||||
|
||||
|
||||
class IntrinioForwardSalesEstimatesFetcher(
|
||||
Fetcher[
|
||||
IntrinioForwardSalesEstimatesQueryParams,
|
||||
list[IntrinioForwardSalesEstimatesData],
|
||||
]
|
||||
):
|
||||
"""Intrinio Forward Sales Estimates Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioForwardSalesEstimatesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioForwardSalesEstimatesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioForwardSalesEstimatesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
BASE_URL = "https://api-v2.intrinio.com/zacks/sales_estimates?page_size=10000"
|
||||
|
||||
symbols = query.symbol.split(",") if query.symbol else None
|
||||
|
||||
query_str = get_querystring(
|
||||
query.model_dump(by_alias=True),
|
||||
["symbol", "calendar_period", "fiscal_period", "limit"],
|
||||
)
|
||||
|
||||
results: list[dict] = []
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{BASE_URL}&identifier={symbol}&{query_str}&api_key={api_key}"
|
||||
new_data: list[dict] = []
|
||||
data = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
if not data or not isinstance(data, dict) or not data.get("estimates"):
|
||||
warn(f"Symbol Error: No data found for {symbol}")
|
||||
if isinstance(data, dict) and data.get("estimates"):
|
||||
new_data = data.get("estimates") # type: ignore
|
||||
if new_data:
|
||||
results.extend(new_data)
|
||||
|
||||
if symbols:
|
||||
await asyncio.gather(*[get_one(symbol) for symbol in symbols])
|
||||
return results
|
||||
|
||||
async def fetch_callback(response, session):
|
||||
"""Use callback for pagination."""
|
||||
data = await response.json()
|
||||
error = data.get("error", None)
|
||||
if error:
|
||||
message = data.get("message", "")
|
||||
if "api key" in message.lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {message}"
|
||||
)
|
||||
raise OpenBBError(f"Error: {error} -> {message}")
|
||||
if data.get("estimates") and len(data.get("estimates")) > 0: # type: ignore
|
||||
results.extend(data.get("estimates")) # type: ignore
|
||||
while data.get("next_page"): # type: ignore
|
||||
next_page = data["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
data = await amake_request(next_url, session=session, **kwargs)
|
||||
if "estimates" in data and len(data.get("estimates")) > 0: # type: ignore
|
||||
results.extend(data.get("estimates")) # type: ignore
|
||||
return results
|
||||
|
||||
url = f"{BASE_URL}&{query_str}&api_key={api_key}"
|
||||
|
||||
results = await amake_request(url, response_callback=fetch_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The request was successful but was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioForwardSalesEstimatesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioForwardSalesEstimatesData]:
|
||||
"""Transform the raw data into the standard format."""
|
||||
symbols = query.symbol.split(",") if query.symbol else []
|
||||
results: list[IntrinioForwardSalesEstimatesData] = []
|
||||
for item in sorted(
|
||||
data,
|
||||
key=lambda item: ( # type: ignore
|
||||
(
|
||||
symbols.index(item.get("symbol")) if item.get("symbol") in symbols else len(symbols), # type: ignore
|
||||
item.get("date"),
|
||||
)
|
||||
if symbols
|
||||
else item.get("date")
|
||||
),
|
||||
):
|
||||
temp: dict[str, Any] = {}
|
||||
company = item.pop("company")
|
||||
if company.get("ticker") is None:
|
||||
continue
|
||||
temp["symbol"] = company.get("ticker")
|
||||
temp["name"] = company.get("name")
|
||||
if query.fiscal_period and query.fiscal_period.upper() != item.get(
|
||||
"fiscal_period"
|
||||
):
|
||||
continue
|
||||
if query.calendar_period and query.calendar_period.upper() != item.get(
|
||||
"calendar_period"
|
||||
):
|
||||
continue
|
||||
temp.update(item)
|
||||
results.append(IntrinioForwardSalesEstimatesData.model_validate(temp))
|
||||
|
||||
return results
|
||||
@@ -1,119 +0,0 @@
|
||||
"""Intrinio FRED Series Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.fred_series import (
|
||||
SeriesData,
|
||||
SeriesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_requests,
|
||||
get_querystring,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioFredSeriesQueryParams(SeriesQueryParams):
|
||||
"""Intrinio FRED Series Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_economic_index_historical_data_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"limit": "page_size"}
|
||||
|
||||
all_pages: bool | None = Field(
|
||||
default=False,
|
||||
description="Returns all pages of data from the API call at once.",
|
||||
)
|
||||
sleep: float | None = Field(
|
||||
default=1.0,
|
||||
description="Time to sleep between requests to avoid rate limiting.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioFredSeriesData(SeriesData):
|
||||
"""Intrinio FRED Series Data."""
|
||||
|
||||
value: float | None = Field(default=None, description="Value of the index.")
|
||||
|
||||
|
||||
class IntrinioFredSeriesFetcher(
|
||||
Fetcher[
|
||||
IntrinioFredSeriesQueryParams,
|
||||
list[IntrinioFredSeriesData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioFredSeriesQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioFredSeriesQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioFredSeriesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
query_str = get_querystring(
|
||||
query.model_dump(), ["symbol", "all_pages", "sleep"]
|
||||
)
|
||||
|
||||
url = (
|
||||
f"{base_url}/indices/economic/${query.symbol.replace('$', '')}/historical_data/level"
|
||||
f"?{query_str}&api_key={api_key}"
|
||||
)
|
||||
|
||||
async def callback(response: ClientResponse, session: ClientSession) -> list:
|
||||
"""Return the response."""
|
||||
init_response: Any = await response.json()
|
||||
all_data: list = []
|
||||
init_data = init_response.get("historical_data", [])
|
||||
|
||||
if init_data and isinstance(init_data, list):
|
||||
all_data.extend(init_data)
|
||||
|
||||
if query.all_pages:
|
||||
next_page = init_response.get("next_page", None)
|
||||
while next_page:
|
||||
if query.limit and query.limit > 100:
|
||||
await asyncio.sleep(query.sleep or 1.0)
|
||||
|
||||
url = response.url.update_query(next_page=next_page).human_repr()
|
||||
response_data = await session.get_json(url)
|
||||
|
||||
all_data.extend(response_data.get("historical_data", [])) # type: ignore
|
||||
next_page = response_data.get("next_page", None) # type: ignore
|
||||
|
||||
return all_data
|
||||
|
||||
return await amake_requests([url], callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioFredSeriesQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioFredSeriesData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioFredSeriesData.model_validate(d) for d in data]
|
||||
@@ -1,140 +0,0 @@
|
||||
"""Intrinio Historical Attributes Model."""
|
||||
|
||||
# pylint: disable = unused-argument
|
||||
|
||||
import warnings
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.app.model.abstract.warning import OpenBBWarning
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.historical_attributes import (
|
||||
HistoricalAttributesData,
|
||||
HistoricalAttributesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_requests,
|
||||
get_querystring,
|
||||
)
|
||||
|
||||
|
||||
class IntrinioHistoricalAttributesQueryParams(HistoricalAttributesQueryParams):
|
||||
"""Intrinio Historical Attributes Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_historical_data_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"sort": "sort_order", "limit": "page_size", "tag_type": "type"}
|
||||
__json_schema_extra__ = {
|
||||
"tag": {"multiple_items_allowed": True},
|
||||
"symbol": {"multiple_items_allowed": True},
|
||||
}
|
||||
|
||||
|
||||
class IntrinioHistoricalAttributesData(HistoricalAttributesData):
|
||||
"""Intrinio Historical Attributes Data."""
|
||||
|
||||
|
||||
class IntrinioHistoricalAttributesFetcher(
|
||||
Fetcher[
|
||||
IntrinioHistoricalAttributesQueryParams,
|
||||
list[IntrinioHistoricalAttributesData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioHistoricalAttributesQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=5)
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioHistoricalAttributesQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioHistoricalAttributesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol", "tag"])
|
||||
|
||||
def generate_url(symbol: str, tag: str) -> str:
|
||||
"""Return the url for the given symbol and tag."""
|
||||
url_params = f"{symbol}/{tag}?{query_str}&api_key={api_key}"
|
||||
url = f"{base_url}/historical_data/{url_params}"
|
||||
return url
|
||||
|
||||
async def callback(
|
||||
response: ClientResponse, session: ClientSession
|
||||
) -> list[dict]:
|
||||
"""Return the response."""
|
||||
init_response = await response.json()
|
||||
|
||||
if message := init_response.get( # type: ignore
|
||||
"error"
|
||||
) or init_response.get( # type: ignore
|
||||
"message"
|
||||
):
|
||||
warnings.warn(message=str(message), category=OpenBBWarning)
|
||||
return []
|
||||
|
||||
symbol = response.url.parts[-2] # type: ignore
|
||||
tag = response.url.parts[-1] # type: ignore
|
||||
|
||||
all_data: list = init_response.get("historical_data", []) # type: ignore
|
||||
all_data = [{**item, "symbol": symbol, "tag": tag} for item in all_data]
|
||||
|
||||
next_page = init_response.get("next_page", None) # type: ignore
|
||||
while next_page:
|
||||
url = response.url.update_query(next_page=next_page).human_repr() # type: ignore
|
||||
response_data = await session.get_json(url)
|
||||
|
||||
if message := response_data.get("error") or response_data.get("message"): # type: ignore
|
||||
warnings.warn(message=message, category=OpenBBWarning)
|
||||
return []
|
||||
|
||||
symbol = response.url.parts[-2] # type: ignore
|
||||
tag = response_data.url.parts[-1] # type: ignore
|
||||
|
||||
response_data = response_data.get("historical_data", []) # type: ignore
|
||||
response_data = [
|
||||
{**item, "symbol": symbol, "tag": tag} for item in response_data
|
||||
]
|
||||
|
||||
all_data.extend(response_data)
|
||||
next_page = response_data.get("next_page", None) # type: ignore
|
||||
|
||||
return all_data
|
||||
|
||||
urls = [
|
||||
generate_url(symbol, tag)
|
||||
for symbol in query.symbol.split(",")
|
||||
for tag in query.tag.split(",")
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioHistoricalAttributesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioHistoricalAttributesData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioHistoricalAttributesData.model_validate(d) for d in data]
|
||||
@@ -1,107 +0,0 @@
|
||||
"""Intrinio Historical Dividends Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.historical_dividends import (
|
||||
HistoricalDividendsData,
|
||||
HistoricalDividendsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_many
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioHistoricalDividendsQueryParams(HistoricalDividendsQueryParams):
|
||||
"""Intrinio Historical Dividends Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_security_stock_price_adjustments_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"limit": "page_size"}
|
||||
|
||||
limit: int | None = Field(
|
||||
default=100,
|
||||
description=QUERY_DESCRIPTIONS.get("limit", ""),
|
||||
)
|
||||
|
||||
|
||||
class IntrinioHistoricalDividendsData(HistoricalDividendsData):
|
||||
"""Intrinio Historical Dividends Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"ex_dividend_date": "date",
|
||||
"amount": "dividend",
|
||||
"currency": "dividend_currency",
|
||||
}
|
||||
|
||||
factor: float | None = Field(
|
||||
default=None,
|
||||
description=(
|
||||
"factor by which to multiply stock prices before this date, "
|
||||
"in order to calculate historically-adjusted stock prices."
|
||||
),
|
||||
)
|
||||
currency: str | None = Field(
|
||||
default=None,
|
||||
description="The currency in which the dividend is paid.",
|
||||
)
|
||||
split_ratio: float | None = Field(
|
||||
default=None,
|
||||
description="The ratio of the stock split, if a stock split occurred.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioHistoricalDividendsFetcher(
|
||||
Fetcher[
|
||||
IntrinioHistoricalDividendsQueryParams,
|
||||
list[IntrinioHistoricalDividendsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioHistoricalDividendsQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(year=1)
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioHistoricalDividendsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioHistoricalDividendsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/securities"
|
||||
query_str = get_querystring(query.model_dump(), ["symbol"])
|
||||
url = f"{base_url}/{query.symbol}/prices/adjustments?{query_str}&api_key={api_key}"
|
||||
|
||||
return await get_data_many(url, "stock_price_adjustments", **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioHistoricalDividendsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioHistoricalDividendsData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[dict] = [
|
||||
{"symbol": query.symbol, **item} for item in data
|
||||
]
|
||||
return [
|
||||
IntrinioHistoricalDividendsData.model_validate(d) for d in transformed_data
|
||||
]
|
||||
@@ -1,150 +0,0 @@
|
||||
"""Intrinio Historical Market Cap Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
from datetime import datetime
|
||||
from typing import Any, Literal
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.historical_market_cap import (
|
||||
HistoricalMarketCapData,
|
||||
HistoricalMarketCapQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioHistoricalMarketCapQueryParams(HistoricalMarketCapQueryParams):
|
||||
"""Intrinio Historical MarketCap Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_historical_data_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"symbol": {"multiple_items_allowed": True},
|
||||
"interval": {
|
||||
"multiple_items_allowed": False,
|
||||
"choices": ["day", "week", "month", "quarter", "year"],
|
||||
},
|
||||
}
|
||||
|
||||
interval: Literal["day", "week", "month", "quarter", "year"] = Field(
|
||||
default="day",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioHistoricalMarketCapData(HistoricalMarketCapData):
|
||||
"""Intrinio Historical MarketCap Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"market_cap": "value",
|
||||
}
|
||||
|
||||
|
||||
class IntrinioHistoricalMarketCapFetcher(
|
||||
Fetcher[
|
||||
IntrinioHistoricalMarketCapQueryParams,
|
||||
list[IntrinioHistoricalMarketCapData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioHistoricalMarketCapQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = datetime(
|
||||
2007,
|
||||
1,
|
||||
1,
|
||||
).date()
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioHistoricalMarketCapQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioHistoricalMarketCapQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import asyncio # noqa
|
||||
from openbb_core.provider.utils.helpers import amake_request
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from warnings import warn
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
base_url = "https://api-v2.intrinio.com/historical_data/"
|
||||
frequency = f"frequency={query.interval}ly&" if query.interval != "day" else ""
|
||||
start_date = query.start_date
|
||||
end_date = query.end_date
|
||||
results: list = []
|
||||
messages: list = []
|
||||
symbols = query.symbol.split(",")
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get data for one symbol."""
|
||||
url_params = (
|
||||
f"{symbol}/marketcap?{frequency}start_date={start_date}"
|
||||
f"&end_date={end_date}&page_size=10000"
|
||||
f"&api_key={api_key}"
|
||||
)
|
||||
url = f"{base_url}{url_params}"
|
||||
try:
|
||||
response = await amake_request(url, response_callback=response_callback)
|
||||
except OpenBBError as e:
|
||||
if "Cannot look up this item/identifier combination" in str(e):
|
||||
msg = f"Symbol not found: {symbol}"
|
||||
messages.append(msg)
|
||||
return
|
||||
raise e from e
|
||||
|
||||
if not isinstance(response, dict):
|
||||
raise OpenBBError(
|
||||
f"Unexpected response format, expected a dictionary, got {response.__class__.__name__}"
|
||||
)
|
||||
|
||||
if not response:
|
||||
msg = f"No data found for symbol: {symbol}"
|
||||
messages.append(msg)
|
||||
|
||||
if response.get("historical_data"):
|
||||
data = response.get("historical_data", {})
|
||||
result = [
|
||||
{"symbol": symbol, **item} for item in data if item.get("value")
|
||||
]
|
||||
results.extend(result)
|
||||
|
||||
return
|
||||
|
||||
await asyncio.gather(*[get_one(symbol) for symbol in symbols])
|
||||
|
||||
if messages and not results:
|
||||
raise OpenBBError(messages)
|
||||
|
||||
if messages and results:
|
||||
for message in messages:
|
||||
warn(message)
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The response was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioHistoricalMarketCapQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioHistoricalMarketCapData]:
|
||||
"""Return the transformed data."""
|
||||
return [
|
||||
IntrinioHistoricalMarketCapData.model_validate(d)
|
||||
for d in sorted(data, key=lambda x: x["date"])
|
||||
]
|
||||
@@ -1,502 +0,0 @@
|
||||
"""Intrinio Income Statement Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.income_statement import (
|
||||
IncomeStatementData,
|
||||
IncomeStatementQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_requests,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class IntrinioIncomeStatementQueryParams(IncomeStatementQueryParams):
|
||||
"""Intrinio Income Statement Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_fundamentals_v2
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_fundamental_standardized_financials_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"period": {
|
||||
"choices": ["annual", "quarter", "ttm", "ytd"],
|
||||
}
|
||||
}
|
||||
|
||||
period: Literal["annual", "quarter", "ttm", "ytd"] = Field(
|
||||
default="annual",
|
||||
description=QUERY_DESCRIPTIONS.get("period", ""),
|
||||
)
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The specific fiscal year. Reports do not go beyond 2008.",
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="after", check_fields=False)
|
||||
@classmethod
|
||||
def handle_symbol(cls, v) -> str:
|
||||
"""Handle symbols with a dash and replace it with a dot for Intrinio."""
|
||||
return v.replace("-", ".")
|
||||
|
||||
|
||||
class IntrinioIncomeStatementData(IncomeStatementData):
|
||||
"""Intrinio Income Statement Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"amortization_expense": "amortizationexpense",
|
||||
"amortizationof_deferred_policy_acquisition_costs": "amortizationofdeferredpolicyacquisitioncosts",
|
||||
"basic_and_diluted_earnings_per_share": "basicdilutedeps",
|
||||
"basic_earnings_per_share": "basiceps",
|
||||
"capitalized_lease_obligations_interest_expense": "capitalizedleaseobligationinterestexpense",
|
||||
"cash_dividends_to_common_per_share": "cashdividendspershare",
|
||||
"current_and_future_benefits": "currentandfuturebenefits",
|
||||
"depletion_expense": "depletionexpense",
|
||||
"deposits_interest_expense": "depositsinterestexpense",
|
||||
"deposits_and_money_market_investments_interest_income": "depositsinterestincome",
|
||||
"depreciation_expense": "depreciationexpense",
|
||||
"diluted_earnings_per_share": "dilutedeps",
|
||||
"exploration_expense": "explorationexpense",
|
||||
"extraordinary_income": "extraordinaryincome",
|
||||
"federal_funds_purchased_and_securities_sold_interest_expense": "fedfundsandrepointerestexpense",
|
||||
"federal_funds_sold_and_securities_borrowed_interest_income": "fedfundsandrepointerestincome",
|
||||
"impairment_charge": "impairmentexpense",
|
||||
"income_tax_expense": "incometaxexpense",
|
||||
"pre_tax_income_margin": "pretaxincomemargin",
|
||||
"investment_banking_income": "investmentbankingincome",
|
||||
"investment_securities_interest_income": "investmentsecuritiesinterestincome",
|
||||
"loans_and_leases_interest_income": "loansandleaseinterestincome",
|
||||
"long_term_debt_interest_expense": "longtermdebtinterestexpense",
|
||||
"marketing_expense": "marketingexpense",
|
||||
"consolidated_net_income": "netincome",
|
||||
"net_income_continuing_operations": "netincomecontinuing",
|
||||
"net_income_discontinued_operations": "netincomediscontinued",
|
||||
"net_income_attributable_to_common_shareholders": "netincometocommon",
|
||||
"net_income_attributable_to_noncontrolling_interest": "netincometononcontrollinginterest",
|
||||
"net_interest_income": "netinterestincome",
|
||||
"net_occupancy_and_equipment_expense": "netoccupancyequipmentexpense",
|
||||
"net_realized_and_unrealized_capital_gains_on_investments": "netrealizedcapitalgains",
|
||||
"non_operating_income": "nonoperatingincome",
|
||||
"operating_revenue": "operatingrevenue",
|
||||
"operating_cost_of_revenue": "operatingcostofrevenue",
|
||||
"other_adjustments_to_consolidated_net_income": "otheradjustmentstoconsolidatednetincome",
|
||||
"other_adjustments_to_net_income_attributable_to_common_shareholders": "otheradjustmentstonetincometocommon",
|
||||
"other_adjustment_to_net_income_attributable_to_common_shareholders": "otheradjustmentstonetincometocommon",
|
||||
"other_cost_of_revenue": "othercostofrevenue",
|
||||
"other_gains": "othergains",
|
||||
"other_income": "otherincome",
|
||||
"other_interest_expense": "otherinterestexpense",
|
||||
"other_interest_income": "otherinterestincome",
|
||||
"other_non_interest_income": "othernoninterestincome",
|
||||
"other_operating_expenses": "otheroperatingexpenses",
|
||||
"other_revenue": "otherrevenue",
|
||||
"other_service_charges": "otherservicechargeincome",
|
||||
"other_special_charges": "otherspecialcharges",
|
||||
"insurance_policy_acquisition_costs": "policyacquisitioncosts",
|
||||
"preferred_stock_dividends_declared": "preferreddividends",
|
||||
"premiums_earned": "premiumsearned",
|
||||
"property_and_liability_insurance_claims": "propertyliabilityinsuranceclaims",
|
||||
"provision_for_credit_losses": "provisionforcreditlosses",
|
||||
"research_and_development_expense": "rdexpense",
|
||||
"restructuring_charge": "restructuringcharge",
|
||||
"salaries_and_employee_benefits": "salariesandemployeebenefitsexpense",
|
||||
"service_charges_on_deposit_accounts": "servicechargesondepositsincome",
|
||||
"selling_general_and_admin_expense": "sgaexpense",
|
||||
"short_term_borrowings_interest_expense": "shorttermborrowinginterestexpense",
|
||||
"cost_of_revenue": "totalcostofrevenue",
|
||||
"gross_profit": "totalgrossprofit",
|
||||
"gross_profit_margin": "grossmargin",
|
||||
"total_interest_expense": "totalinterestexpense",
|
||||
"interest_and_investment_income": "totalinterestincome",
|
||||
"total_non_interest_expense": "totalnoninterestexpense",
|
||||
"total_non_interest_income": "totalnoninterestincome",
|
||||
"total_operating_expenses": "totaloperatingexpenses",
|
||||
"total_operating_income": "totaloperatingincome",
|
||||
"total_other_income": "totalotherincome",
|
||||
"total_pre_tax_income": "totalpretaxincome",
|
||||
"revenue": "totalrevenue",
|
||||
"trading_account_interest_income": "tradingaccountinterestincome",
|
||||
"trust_fees_by_commissions": "trustfeeincome",
|
||||
"ebit": "ebit",
|
||||
"ebitda": "ebitda",
|
||||
"ebitda_margin": "ebitdamargin",
|
||||
"weighted_average_basic_and_diluted_shares_outstanding": "weightedavebasicdilutedsharesos",
|
||||
"weighted_average_basic_shares_outstanding": "weightedavebasicsharesos",
|
||||
"weighted_average_diluted_shares_outstanding": "weightedavedilutedsharesos",
|
||||
}
|
||||
|
||||
reported_currency: str | None = Field(
|
||||
description="The currency in which the balance sheet is reported.",
|
||||
default=None,
|
||||
)
|
||||
revenue: float | None = Field(default=None, description="Total revenue")
|
||||
operating_revenue: float | None = Field(
|
||||
default=None, description="Total operating revenue"
|
||||
)
|
||||
cost_of_revenue: float | None = Field(
|
||||
default=None, description="Total cost of revenue"
|
||||
)
|
||||
operating_cost_of_revenue: float | None = Field(
|
||||
default=None, description="Total operating cost of revenue"
|
||||
)
|
||||
gross_profit: float | None = Field(default=None, description="Total gross profit")
|
||||
gross_profit_margin: float | None = Field(
|
||||
default=None,
|
||||
description="Gross margin ratio.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
provision_for_credit_losses: float | None = Field(
|
||||
default=None,
|
||||
description="Provision for credit losses",
|
||||
)
|
||||
research_and_development_expense: float | None = Field(
|
||||
default=None, description="Research and development expense"
|
||||
)
|
||||
selling_general_and_admin_expense: float | None = Field(
|
||||
default=None, description="Selling, general, and admin expense"
|
||||
)
|
||||
salaries_and_employee_benefits: float | None = Field(
|
||||
default=None, description="Salaries and employee benefits"
|
||||
)
|
||||
marketing_expense: float | None = Field(
|
||||
default=None, description="Marketing expense"
|
||||
)
|
||||
net_occupancy_and_equipment_expense: float | None = Field(
|
||||
default=None, description="Net occupancy and equipment expense"
|
||||
)
|
||||
other_operating_expenses: float | None = Field(
|
||||
default=None, description="Other operating expenses"
|
||||
)
|
||||
depreciation_expense: float | None = Field(
|
||||
default=None, description="Depreciation expense"
|
||||
)
|
||||
amortization_expense: float | None = Field(
|
||||
default=None, description="Amortization expense"
|
||||
)
|
||||
amortization_of_deferred_policy_acquisition_costs: float | None = Field(
|
||||
default=None, description="Amortization of deferred policy acquisition costs"
|
||||
)
|
||||
exploration_expense: float | None = Field(
|
||||
default=None, description="Exploration expense"
|
||||
)
|
||||
depletion_expense: float | None = Field(
|
||||
default=None, description="Depletion expense"
|
||||
)
|
||||
total_operating_expenses: float | None = Field(
|
||||
default=None, description="Total operating expenses"
|
||||
)
|
||||
total_operating_income: float | None = Field(
|
||||
default=None, description="Total operating income"
|
||||
)
|
||||
deposits_and_money_market_investments_interest_income: float | None = Field(
|
||||
default=None,
|
||||
description="Deposits and money market investments interest income",
|
||||
)
|
||||
federal_funds_sold_and_securities_borrowed_interest_income: float | None = Field(
|
||||
default=None,
|
||||
description="Federal funds sold and securities borrowed interest income",
|
||||
)
|
||||
investment_securities_interest_income: float | None = Field(
|
||||
default=None, description="Investment securities interest income"
|
||||
)
|
||||
loans_and_leases_interest_income: float | None = Field(
|
||||
default=None, description="Loans and leases interest income"
|
||||
)
|
||||
trading_account_interest_income: float | None = Field(
|
||||
default=None, description="Trading account interest income"
|
||||
)
|
||||
other_interest_income: float | None = Field(
|
||||
default=None, description="Other interest income"
|
||||
)
|
||||
total_non_interest_income: float | None = Field(
|
||||
default=None, description="Total non-interest income"
|
||||
)
|
||||
interest_and_investment_income: float | None = Field(
|
||||
default=None, description="Interest and investment income"
|
||||
)
|
||||
short_term_borrowings_interest_expense: float | None = Field(
|
||||
default=None, description="Short-term borrowings interest expense"
|
||||
)
|
||||
long_term_debt_interest_expense: float | None = Field(
|
||||
default=None, description="Long-term debt interest expense"
|
||||
)
|
||||
capitalized_lease_obligations_interest_expense: float | None = Field(
|
||||
default=None, description="Capitalized lease obligations interest expense"
|
||||
)
|
||||
deposits_interest_expense: float | None = Field(
|
||||
default=None, description="Deposits interest expense"
|
||||
)
|
||||
federal_funds_purchased_and_securities_sold_interest_expense: float | None = Field(
|
||||
default=None,
|
||||
description="Federal funds purchased and securities sold interest expense",
|
||||
)
|
||||
other_interest_expense: float | None = Field(
|
||||
default=None, description="Other interest expense"
|
||||
)
|
||||
total_interest_expense: float | None = Field(
|
||||
default=None, description="Total interest expense"
|
||||
)
|
||||
net_interest_income: float | None = Field(
|
||||
default=None, description="Net interest income"
|
||||
)
|
||||
other_non_interest_income: float | None = Field(
|
||||
default=None, description="Other non-interest income"
|
||||
)
|
||||
investment_banking_income: float | None = Field(
|
||||
default=None, description="Investment banking income"
|
||||
)
|
||||
trust_fees_by_commissions: float | None = Field(
|
||||
default=None, description="Trust fees by commissions"
|
||||
)
|
||||
premiums_earned: float | None = Field(default=None, description="Premiums earned")
|
||||
insurance_policy_acquisition_costs: float | None = Field(
|
||||
default=None, description="Insurance policy acquisition costs"
|
||||
)
|
||||
current_and_future_benefits: float | None = Field(
|
||||
default=None, description="Current and future benefits"
|
||||
)
|
||||
property_and_liability_insurance_claims: float | None = Field(
|
||||
default=None, description="Property and liability insurance claims"
|
||||
)
|
||||
total_non_interest_expense: float | None = Field(
|
||||
default=None, description="Total non-interest expense"
|
||||
)
|
||||
net_realized_and_unrealized_capital_gains_on_investments: float | None = Field(
|
||||
default=None,
|
||||
description="Net realized and unrealized capital gains on investments",
|
||||
)
|
||||
other_gains: float | None = Field(default=None, description="Other gains")
|
||||
non_operating_income: float | None = Field(
|
||||
default=None, description="Non-operating income"
|
||||
)
|
||||
other_income: float | None = Field(default=None, description="Other income")
|
||||
other_revenue: float | None = Field(default=None, description="Other revenue")
|
||||
|
||||
extraordinary_income: float | None = Field(
|
||||
default=None, description="Extraordinary income"
|
||||
)
|
||||
total_other_income: float | None = Field(
|
||||
default=None, description="Total other income"
|
||||
)
|
||||
ebitda: float | None = Field(
|
||||
default=None,
|
||||
description="Earnings Before Interest, Taxes, Depreciation and Amortization.",
|
||||
)
|
||||
ebitda_margin: float | None = Field(
|
||||
default=None,
|
||||
description="Margin on Earnings Before Interest, Taxes, Depreciation and Amortization.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
total_pre_tax_income: float | None = Field(
|
||||
default=None, description="Total pre-tax income"
|
||||
)
|
||||
ebit: float | None = Field(
|
||||
default=None, description="Earnings Before Interest and Taxes."
|
||||
)
|
||||
pre_tax_income_margin: float | None = Field(
|
||||
default=None,
|
||||
description="Pre-Tax Income Margin.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
income_tax_expense: float | None = Field(
|
||||
default=None, description="Income tax expense"
|
||||
)
|
||||
impairment_charge: float | None = Field(
|
||||
default=None, description="Impairment charge"
|
||||
)
|
||||
restructuring_charge: float | None = Field(
|
||||
default=None, description="Restructuring charge"
|
||||
)
|
||||
service_charges_on_deposit_accounts: float | None = Field(
|
||||
default=None, description="Service charges on deposit accounts"
|
||||
)
|
||||
other_service_charges: float | None = Field(
|
||||
default=None, description="Other service charges"
|
||||
)
|
||||
other_special_charges: float | None = Field(
|
||||
default=None, description="Other special charges"
|
||||
)
|
||||
other_cost_of_revenue: float | None = Field(
|
||||
default=None, description="Other cost of revenue"
|
||||
)
|
||||
net_income_continuing_operations: float | None = Field(
|
||||
default=None, description="Net income (continuing operations)"
|
||||
)
|
||||
net_income_discontinued_operations: float | None = Field(
|
||||
default=None, description="Net income (discontinued operations)"
|
||||
)
|
||||
consolidated_net_income: float | None = Field(
|
||||
default=None, description="Consolidated net income"
|
||||
)
|
||||
other_adjustments_to_consolidated_net_income: float | None = Field(
|
||||
default=None, description="Other adjustments to consolidated net income"
|
||||
)
|
||||
other_adjustment_to_net_income_attributable_to_common_shareholders: float | None = (
|
||||
Field(
|
||||
default=None,
|
||||
description="Other adjustment to net income attributable to common shareholders",
|
||||
)
|
||||
)
|
||||
net_income_attributable_to_noncontrolling_interest: float | None = Field(
|
||||
default=None, description="Net income attributable to noncontrolling interest"
|
||||
)
|
||||
net_income_attributable_to_common_shareholders: float | None = Field(
|
||||
default=None, description="Net income attributable to common shareholders"
|
||||
)
|
||||
basic_earnings_per_share: float | None = Field(
|
||||
default=None, description="Basic earnings per share"
|
||||
)
|
||||
diluted_earnings_per_share: float | None = Field(
|
||||
default=None, description="Diluted earnings per share"
|
||||
)
|
||||
basic_and_diluted_earnings_per_share: float | None = Field(
|
||||
default=None, description="Basic and diluted earnings per share"
|
||||
)
|
||||
cash_dividends_to_common_per_share: float | None = Field(
|
||||
default=None, description="Cash dividends to common per share"
|
||||
)
|
||||
preferred_stock_dividends_declared: float | None = Field(
|
||||
default=None, description="Preferred stock dividends declared"
|
||||
)
|
||||
weighted_average_basic_shares_outstanding: float | None = Field(
|
||||
default=None, description="Weighted average basic shares outstanding"
|
||||
)
|
||||
weighted_average_diluted_shares_outstanding: float | None = Field(
|
||||
default=None, description="Weighted average diluted shares outstanding"
|
||||
)
|
||||
weighted_average_basic_and_diluted_shares_outstanding: float | None = Field(
|
||||
default=None,
|
||||
description="Weighted average basic and diluted shares outstanding",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioIncomeStatementFetcher(
|
||||
Fetcher[
|
||||
IntrinioIncomeStatementQueryParams,
|
||||
list[IntrinioIncomeStatementData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioIncomeStatementQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioIncomeStatementQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioIncomeStatementQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
statement_code = "income_statement"
|
||||
if query.period in ["quarter", "annual"]:
|
||||
period_type = "FY" if query.period == "annual" else "QTR"
|
||||
elif query.period in ["ttm", "ytd"]:
|
||||
period_type = query.period.upper()
|
||||
else:
|
||||
raise OpenBBError(f"Period '{query.period}' not supported.")
|
||||
|
||||
data_tags = [
|
||||
"ebit",
|
||||
"ebitda",
|
||||
"ebitdamargin",
|
||||
"pretaxincomemargin",
|
||||
"grossmargin",
|
||||
]
|
||||
|
||||
fundamentals_data: dict = {}
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
|
||||
fundamentals_url = (
|
||||
f"{base_url}/companies/{query.symbol}"
|
||||
f"/fundamentals?statement_code={statement_code}&type={period_type}"
|
||||
)
|
||||
if query.fiscal_year is not None:
|
||||
if query.fiscal_year < 2008:
|
||||
warn("Financials data is only available from 2008 and later.")
|
||||
query.fiscal_year = 2008
|
||||
fundamentals_url = fundamentals_url + f"&fiscal_year={query.fiscal_year}"
|
||||
fundamentals_url = fundamentals_url + f"&api_key={api_key}"
|
||||
fundamentals_data = (await get_data_one(fundamentals_url, **kwargs)).get(
|
||||
"fundamentals", []
|
||||
)
|
||||
|
||||
fiscal_periods = [
|
||||
f"{item['fiscal_year']}-{item['fiscal_period']}"
|
||||
for item in fundamentals_data
|
||||
]
|
||||
fiscal_periods = fiscal_periods[: query.limit]
|
||||
|
||||
async def callback(response: ClientResponse, session: ClientSession) -> dict:
|
||||
"""Return the response."""
|
||||
intrinio_id = response.url.parts[-2].replace(statement_code, "calculations")
|
||||
|
||||
statement_data = await response.json()
|
||||
|
||||
calculations_url = f"{base_url}/fundamentals/{intrinio_id}/standardized_financials?api_key={api_key}"
|
||||
calculations_data = await session.get_json(calculations_url)
|
||||
|
||||
calculations_data = [
|
||||
item
|
||||
for item in calculations_data.get("standardized_financials", []) # type: ignore
|
||||
if item["data_tag"]["tag"] in data_tags
|
||||
]
|
||||
|
||||
return {
|
||||
"period_ending": statement_data["fundamental"]["end_date"], # type: ignore
|
||||
"fiscal_period": statement_data["fundamental"]["fiscal_period"], # type: ignore
|
||||
"fiscal_year": statement_data["fundamental"]["fiscal_year"], # type: ignore
|
||||
"financials": statement_data["standardized_financials"] + calculations_data, # type: ignore
|
||||
}
|
||||
|
||||
intrinio_id = f"{query.symbol}-{statement_code}"
|
||||
urls = [
|
||||
f"{base_url}/fundamentals/{intrinio_id}-{period}/standardized_financials?api_key={api_key}"
|
||||
for period in fiscal_periods
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioIncomeStatementQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioIncomeStatementData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[IntrinioIncomeStatementData] = []
|
||||
units = []
|
||||
for item in data:
|
||||
sub_dict: dict[str, Any] = {}
|
||||
|
||||
for sub_item in item["financials"]:
|
||||
unit = sub_item["data_tag"].get("unit", "")
|
||||
if unit and len(unit) == 3:
|
||||
units.append(unit)
|
||||
field_name = sub_item["data_tag"]["tag"]
|
||||
sub_dict[field_name] = (
|
||||
float(sub_item["value"])
|
||||
if sub_item["value"] and sub_item["value"] != 0
|
||||
else None
|
||||
)
|
||||
|
||||
sub_dict["period_ending"] = item["period_ending"]
|
||||
sub_dict["fiscal_year"] = item["fiscal_year"]
|
||||
sub_dict["fiscal_period"] = item["fiscal_period"]
|
||||
sub_dict["reported_currency"] = list(set(units))[0]
|
||||
|
||||
transformed_data.append(IntrinioIncomeStatementData(**sub_dict))
|
||||
|
||||
return transformed_data
|
||||
@@ -1,101 +0,0 @@
|
||||
"""Intrinio Index Historical Model."""
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.index_historical import (
|
||||
IndexHistoricalData,
|
||||
IndexHistoricalQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import amake_requests, get_querystring
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioIndexHistoricalQueryParams(IndexHistoricalQueryParams):
|
||||
"""Intrinio Index Historical Query.
|
||||
|
||||
Source:
|
||||
https://docs.intrinio.com/documentation/web_api/get_stock_market_index_historical_data_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"limit": "page_size", "sort": "sort_order"}
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
limit: int | None = Field(
|
||||
default=10000,
|
||||
description=QUERY_DESCRIPTIONS.get("limit", ""),
|
||||
)
|
||||
|
||||
|
||||
class IntrinioIndexHistoricalData(IndexHistoricalData):
|
||||
"""Intrinio Index Historical Data."""
|
||||
|
||||
__alias_dict__ = {"close": "value"}
|
||||
|
||||
|
||||
class IntrinioIndexHistoricalFetcher(
|
||||
Fetcher[
|
||||
IntrinioIndexHistoricalQueryParams,
|
||||
list[IntrinioIndexHistoricalData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioIndexHistoricalQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioIndexHistoricalQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioIndexHistoricalQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
results = []
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
symbols = query.symbol.replace("$", "").replace("^", "").split(",")
|
||||
base_url = "https://api-v2.intrinio.com/indices/stock_market"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol"])
|
||||
urls = [
|
||||
f"{base_url}/${symbol}/historical_data/level?{query_str}&api_key={api_key}"
|
||||
for symbol in symbols
|
||||
]
|
||||
|
||||
async def callback(response, _) -> list[dict]:
|
||||
"""Response callback."""
|
||||
_response = await response.json()
|
||||
data = _response.get("historical_data")
|
||||
symbol = _response["index"].get("symbol").replace("$", "")
|
||||
data = [d for d in data if d.get("value") is not None]
|
||||
data = [{"symbol": symbol, **d} for d in data] if len(symbols) > 1 else data
|
||||
return results.extend(data) if len(data) > 0 else results # type: ignore
|
||||
|
||||
await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
if len(results) == 0:
|
||||
raise EmptyDataError()
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioIndexHistoricalQueryParams, # pylint: disable=unused-argument
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioIndexHistoricalData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioIndexHistoricalData.model_validate(d) for d in data]
|
||||
@@ -1,181 +0,0 @@
|
||||
"""Intrinio Insider Trading Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
)
|
||||
from typing import Any, Literal
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.insider_trading import (
|
||||
InsiderTradingData,
|
||||
InsiderTradingQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_many
|
||||
from pydantic import Field, model_validator
|
||||
|
||||
|
||||
class IntrinioInsiderTradingQueryParams(InsiderTradingQueryParams):
|
||||
"""Intrinio Insider Trading Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/insider_transaction_filings_by_company_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"limit": "page_size"}
|
||||
|
||||
start_date: dateType | None = Field(
|
||||
description=QUERY_DESCRIPTIONS.get("start_date", "")
|
||||
)
|
||||
end_date: dateType | None = Field(
|
||||
description=QUERY_DESCRIPTIONS.get("end_date", "")
|
||||
)
|
||||
ownership_type: Literal["D", "I"] | None = Field(
|
||||
default=None,
|
||||
description="Type of ownership.",
|
||||
)
|
||||
sort_by: Literal["filing_date", "updated_on"] | None = Field(
|
||||
default="updated_on",
|
||||
description="Field to sort by.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioInsiderTradingData(InsiderTradingData):
|
||||
"""Intrinio Insider Trading Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"owner_title": "officer_title",
|
||||
"transaction_type": "transaction_type_code",
|
||||
"acquisition_or_disposition": "acquisition_disposition_code",
|
||||
"security_type": "security_title",
|
||||
"securities_owned": "total_shares_owned",
|
||||
"securities_transacted": "amount_of_shares",
|
||||
}
|
||||
|
||||
company_name: str = Field(description="Name of the company.")
|
||||
conversion_exercise_price: float | None = Field(
|
||||
default=None,
|
||||
description="Conversion/Exercise price of the shares.",
|
||||
)
|
||||
deemed_execution_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="Deemed execution date of the trade.",
|
||||
)
|
||||
exercise_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="Exercise date of the trade.",
|
||||
)
|
||||
expiration_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="Expiration date of the derivative.",
|
||||
)
|
||||
underlying_security_title: str | None = Field(
|
||||
default=None,
|
||||
description="Name of the underlying non-derivative security related to this derivative transaction.",
|
||||
)
|
||||
underlying_shares: int | float | None = Field(
|
||||
default=None,
|
||||
description="Number of underlying shares related to this derivative transaction.",
|
||||
)
|
||||
nature_of_ownership: str | None = Field(
|
||||
default=None,
|
||||
description="Nature of ownership of the insider trading.",
|
||||
)
|
||||
director: bool | None = Field(
|
||||
default=None, description="Whether the owner is a director."
|
||||
)
|
||||
officer: bool | None = Field(
|
||||
default=None, description="Whether the owner is an officer."
|
||||
)
|
||||
ten_percent_owner: bool | None = Field(
|
||||
default=None, description="Whether the owner is a 10% owner."
|
||||
)
|
||||
other_relation: bool | None = Field(
|
||||
default=None, description="Whether the owner is having another relation."
|
||||
)
|
||||
derivative_transaction: bool | None = Field(
|
||||
default=None,
|
||||
description="Whether the owner is having a derivative transaction.",
|
||||
)
|
||||
report_line_number: int | None = Field(
|
||||
default=None, description="Report line number of the insider trading."
|
||||
)
|
||||
filing_url: str | None = Field(default=None, description="URL of the filing.")
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def empty_strings(cls, values): # pylint: disable=no-self-argument
|
||||
"""Check for empty strings and replace with None."""
|
||||
return (
|
||||
{k: None if v == "" else v for k, v in values.items()}
|
||||
if isinstance(values, dict)
|
||||
else values
|
||||
)
|
||||
|
||||
|
||||
class IntrinioInsiderTradingFetcher(
|
||||
Fetcher[
|
||||
IntrinioInsiderTradingQueryParams,
|
||||
list[IntrinioInsiderTradingData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioInsiderTradingQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
|
||||
now = datetime.now().date()
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=5)
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
|
||||
return IntrinioInsiderTradingQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioInsiderTradingQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies"
|
||||
query.limit = query.limit or 500
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol"])
|
||||
url = f"{base_url}/{query.symbol}/insider_transaction_filings?{query_str}&api_key={api_key}"
|
||||
|
||||
return await get_data_many(url, "transaction_filings", **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioInsiderTradingQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioInsiderTradingData]:
|
||||
"""Return the transformed data."""
|
||||
transformed_data: list[dict] = []
|
||||
|
||||
for item in data:
|
||||
transformed_data.extend(
|
||||
[
|
||||
{
|
||||
**sub_item,
|
||||
"filing_date": item["filing_date"],
|
||||
"filing_url": item["filing_url"],
|
||||
"symbol": item["issuer_ticker"],
|
||||
"company_cik": item["issuer_cik"],
|
||||
"company_name": item["issuer_company"],
|
||||
"owner_cik": item["owner"]["owner_cik"],
|
||||
"owner_name": item["owner"]["owner_name"],
|
||||
}
|
||||
for sub_item in item["transactions"]
|
||||
]
|
||||
)
|
||||
|
||||
return [IntrinioInsiderTradingData.model_validate(d) for d in transformed_data]
|
||||
@@ -1,130 +0,0 @@
|
||||
"""Intrinio Institutional Ownership Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.institutional_ownership import (
|
||||
InstitutionalOwnershipData,
|
||||
InstitutionalOwnershipQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_many, get_data_one
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioInstitutionalOwnershipQueryParams(InstitutionalOwnershipQueryParams):
|
||||
"""Intrinio Institutional Ownership Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_security_insider_ownership_v2
|
||||
https://docs.intrinio.com/documentation/web_api/get_owner_by_id_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"limit": "page_size",
|
||||
}
|
||||
|
||||
limit: int | None = Field(
|
||||
default=100,
|
||||
description=QUERY_DESCRIPTIONS.get("limit", ""),
|
||||
)
|
||||
|
||||
|
||||
class IntrinioInstitutionalOwnershipData(InstitutionalOwnershipData):
|
||||
"""Intrinio Institutional Ownership Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"cik": "owner_cik",
|
||||
"date": "period_ended",
|
||||
"name": "owner_name",
|
||||
}
|
||||
|
||||
name: str = Field(
|
||||
description="Name of the institutional owner.",
|
||||
)
|
||||
value: float = Field(description="Value of the institutional owner.")
|
||||
amount: float = Field(description="Amount of the institutional owner.")
|
||||
sole_voting_authority: float = Field(
|
||||
description="Sole voting authority of the institutional owner."
|
||||
)
|
||||
shared_voting_authority: float = Field(
|
||||
description="Shared voting authority of the institutional owner."
|
||||
)
|
||||
no_voting_authority: float = Field(
|
||||
description="No voting authority of the institutional owner."
|
||||
)
|
||||
previous_amount: float = Field(
|
||||
description="Previous amount of the institutional owner."
|
||||
)
|
||||
amount_change: float = Field(
|
||||
description="Amount change of the institutional owner."
|
||||
)
|
||||
amount_percent_change: float = Field(
|
||||
description="Amount percent change of the institutional owner."
|
||||
)
|
||||
|
||||
|
||||
class IntrinioInstitutionalOwnershipFetcher(
|
||||
Fetcher[
|
||||
IntrinioInstitutionalOwnershipQueryParams,
|
||||
list[IntrinioInstitutionalOwnershipData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioInstitutionalOwnershipQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioInstitutionalOwnershipQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioInstitutionalOwnershipQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
data: list[dict] = []
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol"])
|
||||
url = f"{base_url}/securities/{query.symbol}/institutional_ownership?{query_str}&api_key={api_key}"
|
||||
|
||||
async def get_owner_name(item: dict) -> dict:
|
||||
cik = item["owner_cik"]
|
||||
cik_url = f"{base_url}/owners/{cik}?api_key={api_key}"
|
||||
cik_data = await get_data_one(cik_url, **kwargs)
|
||||
owner_name = cik_data["owner_name"]
|
||||
item["symbol"] = query.symbol
|
||||
item["owner_name"] = owner_name
|
||||
return item
|
||||
|
||||
results = await asyncio.gather(
|
||||
*[
|
||||
get_owner_name(item)
|
||||
for item in await get_data_many(url, "ownership", **kwargs)
|
||||
],
|
||||
return_exceptions=True,
|
||||
)
|
||||
|
||||
for item in results:
|
||||
if isinstance(item, Exception):
|
||||
continue
|
||||
data.append(item) # type: ignore
|
||||
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioInstitutionalOwnershipQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioInstitutionalOwnershipData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioInstitutionalOwnershipData.model_validate(d) for d in data]
|
||||
@@ -1,367 +0,0 @@
|
||||
"""Intrinio Key Metrics Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from typing import Any
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.provider.abstract.data import ForceInt
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.key_metrics import (
|
||||
KeyMetricsData,
|
||||
KeyMetricsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
amake_requests,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioKeyMetricsQueryParams(KeyMetricsQueryParams):
|
||||
"""
|
||||
Intrinio Key Metrics Query.
|
||||
|
||||
Source: https://data.intrinio.com/data-tags/
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
|
||||
class IntrinioKeyMetricsData(KeyMetricsData):
|
||||
"""Intrinio Key Metrics Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"market_cap": "marketcap",
|
||||
"pe_ratio": "pricetoearnings",
|
||||
"price_to_book": "pricetobook",
|
||||
"price_to_tangible_book": "pricetotangiblebook",
|
||||
"price_to_revenue": "pricetorevenue",
|
||||
"long_term_debt": "ltdebtandcapleases",
|
||||
"total_debt": "debt",
|
||||
"total_capital": "totalcapital",
|
||||
"enterprise_value": "enterprisevalue",
|
||||
"eps_growth": "epsgrowth",
|
||||
"ebit_growth": "ebitgrowth",
|
||||
"ebitda_growth": "ebitdagrowth",
|
||||
"revenue_growth": "revenuegrowth",
|
||||
"net_income_growth": "netincomegrowth",
|
||||
"free_cash_flow_to_firm_growth": "fcffgrowth",
|
||||
"invested_capital_growth": "investedcapitalgrowth",
|
||||
"quick_ratio": "quickratio",
|
||||
"gross_margin": "grossmargin",
|
||||
"ebit_margin": "ebitmargin",
|
||||
"profit_margin": "profitmargin",
|
||||
"return_on_assets": "roa",
|
||||
"return_on_equity": "roe",
|
||||
"return_on_invested_capital": "roic",
|
||||
"free_cash_flow_to_firm": "freecashflow",
|
||||
"altman_z_score": "altmanzscore",
|
||||
"earnings_yield": "earningsyield",
|
||||
"dividend_yield": "dividendyield",
|
||||
"year_high": "52_week_high",
|
||||
"year_low": "52_week_low",
|
||||
"volume_avg": "average_daily_volume",
|
||||
"shares_outstanding": "adjweightedavebasicsharesos",
|
||||
"eps": "basiceps",
|
||||
}
|
||||
|
||||
pe_ratio: float | None = Field(
|
||||
default=None,
|
||||
description="Price-to-earnings ratio (TTM).",
|
||||
)
|
||||
price_to_book: float | None = Field(
|
||||
default=None,
|
||||
description="Price to book ratio.",
|
||||
)
|
||||
price_to_tangible_book: float | None = Field(
|
||||
default=None,
|
||||
description="Price to tangible book ratio.",
|
||||
)
|
||||
price_to_revenue: float | None = Field(
|
||||
default=None,
|
||||
description="Price to revenue ratio.",
|
||||
)
|
||||
quick_ratio: float | None = Field(
|
||||
default=None,
|
||||
description="Quick ratio.",
|
||||
)
|
||||
gross_margin: float | None = Field(
|
||||
default=None,
|
||||
description="Gross margin, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
ebit_margin: float | None = Field(
|
||||
default=None,
|
||||
description="EBIT margin, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
profit_margin: float | None = Field(
|
||||
default=None,
|
||||
description="Profit margin, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
eps: float | None = Field(
|
||||
default=None,
|
||||
description="Basic earnings per share.",
|
||||
)
|
||||
eps_growth: float | None = Field(
|
||||
default=None,
|
||||
description="EPS growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
revenue_growth: float | None = Field(
|
||||
default=None,
|
||||
description="Revenue growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
ebitda_growth: float | None = Field(
|
||||
default=None,
|
||||
description="EBITDA growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
ebit_growth: float | None = Field(
|
||||
default=None,
|
||||
description="EBIT growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
net_income_growth: float | None = Field(
|
||||
default=None,
|
||||
description="Net income growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
free_cash_flow_to_firm_growth: float | None = Field(
|
||||
default=None,
|
||||
description="Free cash flow to firm growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
invested_capital_growth: float | None = Field(
|
||||
default=None,
|
||||
description="Invested capital growth, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
return_on_assets: float | None = Field(
|
||||
default=None,
|
||||
description="Return on assets, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
return_on_equity: float | None = Field(
|
||||
default=None,
|
||||
description="Return on equity, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
return_on_invested_capital: float | None = Field(
|
||||
default=None,
|
||||
description="Return on invested capital, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
ebitda: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Earnings before interest, taxes, depreciation, and amortization.",
|
||||
)
|
||||
ebit: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Earnings before interest and taxes.",
|
||||
)
|
||||
long_term_debt: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Long-term debt.",
|
||||
)
|
||||
total_debt: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Total debt.",
|
||||
)
|
||||
total_capital: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="The sum of long-term debt and total shareholder equity.",
|
||||
)
|
||||
enterprise_value: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Enterprise value.",
|
||||
)
|
||||
free_cash_flow_to_firm: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Free cash flow to firm.",
|
||||
)
|
||||
altman_z_score: float | None = Field(
|
||||
default=None,
|
||||
description="Altman Z-score.",
|
||||
)
|
||||
beta: float | None = Field(
|
||||
default=None,
|
||||
description="Beta relative to the broad market (rolling three-year).",
|
||||
)
|
||||
dividend_yield: float | None = Field(
|
||||
default=None,
|
||||
description="Dividend yield, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
earnings_yield: float | None = Field(
|
||||
default=None,
|
||||
description="Earnings yield, as a normalized percent.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
last_price: float | None = Field(
|
||||
default=None,
|
||||
description="Last price of the stock.",
|
||||
)
|
||||
year_high: float | None = Field(
|
||||
default=None,
|
||||
description="52 week high",
|
||||
)
|
||||
year_low: float | None = Field(default=None, description="52 week low")
|
||||
volume_avg: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Average daily volume.",
|
||||
)
|
||||
short_interest: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Number of shares reported as sold short.",
|
||||
)
|
||||
shares_outstanding: ForceInt | None = Field(
|
||||
default=None,
|
||||
description="Weighted average shares outstanding (TTM).",
|
||||
)
|
||||
days_to_cover: float | None = Field(
|
||||
default=None,
|
||||
description="Days to cover short interest, based on average daily volume.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioKeyMetricsFetcher(
|
||||
Fetcher[
|
||||
IntrinioKeyMetricsQueryParams,
|
||||
list[IntrinioKeyMetricsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioKeyMetricsQueryParams:
|
||||
"""Transform the query params."""
|
||||
|
||||
if params.get("period") is not None and params.get("period") != "annual":
|
||||
warn(
|
||||
"The period parameter is not available for this Intrinio endpoint, it will be ignored."
|
||||
)
|
||||
return IntrinioKeyMetricsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioKeyMetricsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
tags = [
|
||||
"beta",
|
||||
"average_daily_volume",
|
||||
"basiceps",
|
||||
"basicdilutedeps",
|
||||
"marketcap",
|
||||
"last_price",
|
||||
"52_week_high",
|
||||
"52_week_low",
|
||||
"dividendyield",
|
||||
"pricetoearnings",
|
||||
"pricetorevenue",
|
||||
"pricetobook",
|
||||
"pricetotangiblebook",
|
||||
"grossmargin",
|
||||
"ebitmargin",
|
||||
"profitmargin",
|
||||
"roa",
|
||||
"roe",
|
||||
"roic",
|
||||
"earningsyield",
|
||||
"days_to_cover",
|
||||
"short_interest",
|
||||
"revenuegrowth",
|
||||
"ebitgrowth",
|
||||
"ebitdagrowth",
|
||||
"epsgrowth",
|
||||
"netincomegrowth",
|
||||
"investedcapitalgrowth",
|
||||
"debt",
|
||||
"totalcapital",
|
||||
"enterprisevalue",
|
||||
"freecashflow",
|
||||
"fcffgrowth",
|
||||
"ltdebtandcapleases",
|
||||
"altmanzscore",
|
||||
"quickratio",
|
||||
"ebit",
|
||||
"ebitda",
|
||||
"adjweightedavebasicsharesos",
|
||||
]
|
||||
results = []
|
||||
urls = []
|
||||
symbols = query.symbol.split(",")
|
||||
|
||||
async def get_one(symbol: str):
|
||||
"""Get data for one symbol."""
|
||||
|
||||
_urls = [
|
||||
f"https://api-v2.intrinio.com/companies/{symbol}/data_point/{tag}?api_key={api_key}"
|
||||
for tag in tags
|
||||
]
|
||||
urls.extend(_urls)
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
return {response.url.parts[-1]: await response.json()}
|
||||
|
||||
data = {}
|
||||
for result in await amake_requests(urls, callback, **kwargs):
|
||||
data.update(result)
|
||||
if data:
|
||||
data["symbol"] = symbol
|
||||
results.append(data)
|
||||
|
||||
tasks = [get_one(symbol) for symbol in symbols]
|
||||
|
||||
await asyncio.gather(*tasks)
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError()
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioKeyMetricsQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioKeyMetricsData]:
|
||||
"""Validate and transform the data."""
|
||||
|
||||
# Sort the results by the order of the symbols in the query.
|
||||
symbols = query.symbol.split(",")
|
||||
data = sorted(
|
||||
data,
|
||||
key=(
|
||||
lambda item: (
|
||||
symbols.index(item["symbol"])
|
||||
if item["symbol"] in symbols
|
||||
else len(symbols)
|
||||
)
|
||||
),
|
||||
)
|
||||
|
||||
results: list[IntrinioKeyMetricsData] = []
|
||||
for item in data:
|
||||
if item.get("marketcap") is None or isinstance(item.get("marketcap"), dict):
|
||||
warn(f"Symbol Error: No data found for {item.get('symbol')}")
|
||||
continue
|
||||
|
||||
for key, value in item.copy().items():
|
||||
# A bad response in a field will return a dict here, so we remove it.
|
||||
if isinstance(value, dict):
|
||||
_ = item.pop(key)
|
||||
|
||||
results.append(IntrinioKeyMetricsData.model_validate(item))
|
||||
|
||||
return results
|
||||
@@ -1,99 +0,0 @@
|
||||
"""Intrinio Latest Attributes Model."""
|
||||
|
||||
import warnings
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.app.model.abstract.warning import OpenBBWarning
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.latest_attributes import (
|
||||
LatestAttributesData,
|
||||
LatestAttributesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
amake_requests,
|
||||
)
|
||||
|
||||
|
||||
class IntrinioLatestAttributesQueryParams(LatestAttributesQueryParams):
|
||||
"""Intrinio Latest Attributes Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_data_point_number_v2
|
||||
https://docs.intrinio.com/documentation/web_api/get_data_point_text_v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {
|
||||
"tag": {"multiple_items_allowed": True},
|
||||
"symbol": {"multiple_items_allowed": True},
|
||||
}
|
||||
|
||||
|
||||
class IntrinioLatestAttributesData(LatestAttributesData):
|
||||
"""Intrinio Latest Attributes Data."""
|
||||
|
||||
|
||||
class IntrinioLatestAttributesFetcher(
|
||||
Fetcher[
|
||||
IntrinioLatestAttributesQueryParams,
|
||||
list[IntrinioLatestAttributesData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioLatestAttributesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioLatestAttributesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioLatestAttributesQueryParams, # pylint: disable=unused-argument
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> dict:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies"
|
||||
|
||||
def generate_url(symbol: str, tag: str) -> str:
|
||||
"""Return the url for the given symbol and tag."""
|
||||
return f"{base_url}/{symbol}/data_point/{tag}?api_key={api_key}"
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
response_data = await response.json()
|
||||
|
||||
if isinstance(response_data, dict) and (
|
||||
"error" in response_data or "message" in response_data
|
||||
):
|
||||
warnings.warn(
|
||||
message=str(response_data.get("error"))
|
||||
or str(response_data.get("message")),
|
||||
category=OpenBBWarning,
|
||||
)
|
||||
return {}
|
||||
if not response_data:
|
||||
return {}
|
||||
|
||||
tag = response.url.parts[-1]
|
||||
symbol = response.url.parts[-3]
|
||||
|
||||
return {"symbol": symbol, "tag": tag, "value": response_data}
|
||||
|
||||
urls = [
|
||||
generate_url(symbol, tag)
|
||||
for symbol in query.symbol.split(",")
|
||||
for tag in query.tag.split(",")
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioLatestAttributesQueryParams, # pylint: disable=unused-argument
|
||||
data: dict,
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioLatestAttributesData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioLatestAttributesData.model_validate(d) for d in data]
|
||||
@@ -1,263 +0,0 @@
|
||||
"""Intrinio Market Snapshots Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
)
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.market_snapshots import (
|
||||
MarketSnapshotsData,
|
||||
MarketSnapshotsQueryParams,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioMarketSnapshotsQueryParams(MarketSnapshotsQueryParams):
|
||||
"""Intrinio Market Snapshots Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_security_snapshots_v2
|
||||
"""
|
||||
|
||||
date: dateType | datetime | str | None = Field(
|
||||
default=None,
|
||||
description="The date of the data. Can be a datetime or an ISO datetime string."
|
||||
+ " Historical data appears to go back to mid-June 2022."
|
||||
+ " Example: '2024-03-08T12:15:00+0400'",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioMarketSnapshotsData(MarketSnapshotsData):
|
||||
"""Intrinio Market Snapshots Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"last_price": "trade_price",
|
||||
"last_size": "trade_size",
|
||||
"last_volume": "total_trade_volume",
|
||||
}
|
||||
|
||||
last_price: float | None = Field(
|
||||
default=None,
|
||||
description="The last trade price.",
|
||||
)
|
||||
last_size: int | None = Field(
|
||||
default=None,
|
||||
description="The last trade size.",
|
||||
)
|
||||
last_volume: int | None = Field(
|
||||
default=None,
|
||||
description="The last trade volume.",
|
||||
)
|
||||
last_trade_timestamp: datetime | None = Field(
|
||||
default=None,
|
||||
description="The timestamp of the last trade.",
|
||||
)
|
||||
bid_size: int | None = Field(
|
||||
default=None,
|
||||
description="The size of the last bid price. Bid price and size is not always available.",
|
||||
)
|
||||
bid_price: float | None = Field(
|
||||
default=None,
|
||||
description="The last bid price. Bid price and size is not always available.",
|
||||
)
|
||||
ask_price: float | None = Field(
|
||||
default=None,
|
||||
description="The last ask price. Ask price and size is not always available.",
|
||||
)
|
||||
ask_size: int | None = Field(
|
||||
default=None,
|
||||
description="The size of the last ask price. Ask price and size is not always available.",
|
||||
)
|
||||
last_bid_timestamp: datetime | None = Field(
|
||||
default=None,
|
||||
description="The timestamp of the last bid price. Bid price and size is not always available.",
|
||||
)
|
||||
last_ask_timestamp: datetime | None = Field(
|
||||
default=None,
|
||||
description="The timestamp of the last ask price. Ask price and size is not always available.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioMarketSnapshotsFetcher(
|
||||
Fetcher[
|
||||
IntrinioMarketSnapshotsQueryParams,
|
||||
list[IntrinioMarketSnapshotsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioMarketSnapshotsQueryParams:
|
||||
"""Transform the query params."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from pytz import timezone
|
||||
|
||||
transformed_params = params
|
||||
|
||||
if "date" in transformed_params:
|
||||
if isinstance(transformed_params["date"], datetime):
|
||||
dt = transformed_params["date"]
|
||||
dt = dt.astimezone(tz=timezone("America/New_York"))
|
||||
if isinstance(transformed_params["date"], dateType):
|
||||
dt = transformed_params["date"] # type: ignore
|
||||
if isinstance(dt, dateType):
|
||||
dt = datetime(
|
||||
dt.year,
|
||||
dt.month,
|
||||
dt.day,
|
||||
20,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
tzinfo=timezone("America/New_York"),
|
||||
)
|
||||
if isinstance(transformed_params["date"], str):
|
||||
dt = datetime.fromisoformat(transformed_params["date"])
|
||||
else:
|
||||
try:
|
||||
dt = datetime.fromisoformat(str(transformed_params["date"])) # type: ignore
|
||||
except ValueError as exc:
|
||||
raise OpenBBError(
|
||||
"Invalid date format. Please use '2024-03-08T12:15-0400'."
|
||||
) from exc
|
||||
|
||||
transformed_params["date"] = (
|
||||
dt.strftime("%Y-%m-%dT%H:%M:%S.%f%z")
|
||||
.replace("+", "-")
|
||||
.replace("T00:", "T20:")
|
||||
if isinstance(dt, datetime)
|
||||
else dt
|
||||
)
|
||||
return IntrinioMarketSnapshotsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioMarketSnapshotsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import asyncio # noqa
|
||||
import gzip # noqa
|
||||
from datetime import timezone as datetime_timezone # noqa
|
||||
from io import BytesIO # noqa
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
safe_fromtimestamp,
|
||||
) # noqa
|
||||
from pandas import DataFrame, notna, read_csv, to_datetime # noqa
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
# This gets the URL to the actual file.
|
||||
url = f"https://api-v2.intrinio.com/securities/snapshots?api_key={api_key}"
|
||||
if query.date:
|
||||
url += f"&at_datetime={query.date}"
|
||||
|
||||
response = await amake_request(url, **kwargs)
|
||||
|
||||
if isinstance(response, dict) and "error" in response:
|
||||
raise OpenBBError(
|
||||
f"Error: {response.get('error')}. Message: {response.get('message')}"
|
||||
)
|
||||
urls: list = []
|
||||
# Get the URL to the CSV file.
|
||||
if response.get("snapshots"): # type: ignore
|
||||
for d in response["snapshots"]: # type: ignore
|
||||
if d.get("files"):
|
||||
for f in d["files"]:
|
||||
if f.get("url"):
|
||||
urls.append(f.get("url"))
|
||||
if not urls:
|
||||
raise OpenBBError("No snapshots found.")
|
||||
|
||||
results: list = []
|
||||
|
||||
async def response_callback(response, _):
|
||||
"""Response Callback."""
|
||||
return await response.read()
|
||||
|
||||
async def get_csv(url):
|
||||
"""Return the CSV data."""
|
||||
response = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
df = DataFrame()
|
||||
if isinstance(response, bytes):
|
||||
file = gzip.decompress(response)
|
||||
df = read_csv(BytesIO(file))
|
||||
if df.empty:
|
||||
raise OpenBBError("Empty CSV file.")
|
||||
df.columns = df.columns.str.lower().str.replace(" ", "_")
|
||||
|
||||
df = (
|
||||
df.dropna(how="all", axis=1)
|
||||
.dropna(subset=["trade_price", "last_trade_timestamp", "symbol"])
|
||||
.sort_values("last_trade_timestamp", ascending=False)
|
||||
)[
|
||||
[
|
||||
"symbol",
|
||||
"trade_price",
|
||||
"trade_size",
|
||||
"total_trade_volume",
|
||||
"bid_size",
|
||||
"bid_price",
|
||||
"ask_price",
|
||||
"ask_size",
|
||||
"last_trade_timestamp",
|
||||
"last_bid_timestamp",
|
||||
"last_ask_timestamp",
|
||||
]
|
||||
]
|
||||
|
||||
for col in [
|
||||
"last_trade_timestamp",
|
||||
"last_bid_timestamp",
|
||||
"last_ask_timestamp",
|
||||
]:
|
||||
df[col] = (
|
||||
to_datetime(
|
||||
df[col].apply(
|
||||
lambda x: (
|
||||
safe_fromtimestamp(x, tz=datetime_timezone.utc)
|
||||
if notna(x)
|
||||
else x
|
||||
)
|
||||
)
|
||||
)
|
||||
.dt.tz_convert("America/New_York")
|
||||
.dt.floor("s")
|
||||
)
|
||||
|
||||
for c in ["trade_size", "total_trade_volume"]:
|
||||
df[c] = df[c].astype("int64")
|
||||
|
||||
# Clear out NaN and non-numeric values with None.
|
||||
df = (
|
||||
df.replace("Max", None)
|
||||
.replace("Min", None)
|
||||
.replace(0, None)
|
||||
.fillna("N/A")
|
||||
.replace("N/A", None)
|
||||
)
|
||||
|
||||
if len(df) > 0:
|
||||
results.extend(df.reset_index(drop=True).to_dict(orient="records"))
|
||||
|
||||
await asyncio.gather(*[get_csv(url) for url in urls])
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioMarketSnapshotsQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioMarketSnapshotsData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioMarketSnapshotsData.model_validate(d) for d in data]
|
||||
@@ -1,376 +0,0 @@
|
||||
"""Intrinio Options Chains Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
)
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.options_chains import (
|
||||
OptionsChainsData,
|
||||
OptionsChainsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import OpenBBError
|
||||
from openbb_intrinio.models.equity_historical import IntrinioEquityHistoricalFetcher
|
||||
from openbb_intrinio.models.index_historical import IntrinioIndexHistoricalFetcher
|
||||
from pydantic import Field, field_validator, model_validator
|
||||
|
||||
|
||||
class IntrinioOptionsChainsQueryParams(OptionsChainsQueryParams):
|
||||
"""Intrinio Options Chains Query.
|
||||
|
||||
source: https://docs.intrinio.com/documentation/web_api/get_options_chain_eod_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"strike_gt": "strike_greater_than",
|
||||
"strike_lt": "strike_less_than",
|
||||
"volume_gt": "volume_greater_than",
|
||||
"volume_lt": "volume_less_than",
|
||||
"oi_gt": "open_interest_greater_than",
|
||||
"oi_lt": "open_interest_less_than",
|
||||
"option_type": "type",
|
||||
}
|
||||
__json_schema_extra__ = {
|
||||
"moneyness": {
|
||||
"multiple_items_allowed": False,
|
||||
"choices": ["otm", "itm", "all"],
|
||||
},
|
||||
"delay": {
|
||||
"multiple_items_allowed": False,
|
||||
"choices": ["eod", "realtime", "delayed"],
|
||||
},
|
||||
"option_type": {
|
||||
"multiple_items_allowed": False,
|
||||
"choices": ["call", "put"],
|
||||
},
|
||||
"model": {
|
||||
"multiple_items_allowed": False,
|
||||
"choices": ["black_scholes", "bjerk"],
|
||||
},
|
||||
}
|
||||
|
||||
delay: Literal["eod", "realtime", "delayed"] = Field(
|
||||
description="Whether to return delayed, realtime, or eod data.",
|
||||
default="eod",
|
||||
)
|
||||
date: dateType | None = Field(
|
||||
default=None, description="The end-of-day date for options chains data."
|
||||
)
|
||||
option_type: Literal["call", "put"] | None = Field(
|
||||
default=None,
|
||||
description="The option type, call or put, 'None' is both (default).",
|
||||
)
|
||||
moneyness: Literal["otm", "itm", "all"] = Field(
|
||||
default="all",
|
||||
description="Return only contracts that are in or out of the money, default is 'all'."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
strike_gt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with a strike price greater than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
strike_lt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with a strike price less than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
volume_gt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with a volume greater than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
volume_lt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with a volume less than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
oi_gt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with an open interest greater than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
oi_lt: int | None = Field(
|
||||
default=None,
|
||||
description="Return options with an open interest less than the given value."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
model: Literal["black_scholes", "bjerk"] = Field(
|
||||
default="black_scholes",
|
||||
description="The pricing model to use for options chains data, default is 'black_scholes'."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
show_extended_price: bool = Field(
|
||||
default=True,
|
||||
description="Whether to include OHLC type fields, default is True."
|
||||
+ " Parameter is ignored when a date is supplied.",
|
||||
)
|
||||
include_related_symbols: bool = Field(
|
||||
default=False,
|
||||
description="Include related symbols that end in a 1 or 2 because of a corporate action,"
|
||||
+ " default is False.",
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
@classmethod
|
||||
def date_not_allowed_with_realtime(cls, values: Any) -> Any:
|
||||
"""Return an error if the date is supplied when delay is realtime."""
|
||||
if values.delay != "eod" and values.date:
|
||||
warn("Date is ignored when accessing realtime or delayed data.")
|
||||
return values
|
||||
|
||||
|
||||
class IntrinioOptionsChainsData(OptionsChainsData):
|
||||
"""Intrinio Options Chains Data."""
|
||||
|
||||
__doc__ = OptionsChainsData.__doc__
|
||||
__alias_dict__ = {
|
||||
"contract_symbol": "code",
|
||||
"symbol": "ticker",
|
||||
"eod_date": "date",
|
||||
"option_type": "type",
|
||||
"last_trade_time": "last_timestamp",
|
||||
"last_trade_price": "last",
|
||||
"last_trade_size": "last_size",
|
||||
"ask_time": "ask_timestamp",
|
||||
"bid_time": "bid_timestamp",
|
||||
"open": "trade_open",
|
||||
"high": "trade_high",
|
||||
"low": "trade_low",
|
||||
"close": "trade_close",
|
||||
}
|
||||
|
||||
@field_validator(
|
||||
"close_time",
|
||||
"close_ask_time",
|
||||
"close_bid_time",
|
||||
"ask_time",
|
||||
"bid_time",
|
||||
"last_trade_time",
|
||||
mode="before",
|
||||
check_fields=False,
|
||||
)
|
||||
@classmethod
|
||||
def _date_validate(cls, v):
|
||||
"""Return the datetime object from the date string."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from dateutil import parser
|
||||
from pytz import timezone
|
||||
|
||||
if not v:
|
||||
return None
|
||||
new_v: list = []
|
||||
for item in v:
|
||||
if item:
|
||||
dt = parser.parse(item)
|
||||
dt = dt.replace(tzinfo=timezone("UTC"))
|
||||
dt = dt.astimezone(timezone("America/New_York"))
|
||||
new_v.append(dt.replace(microsecond=0))
|
||||
else:
|
||||
new_v.append(None)
|
||||
|
||||
return new_v
|
||||
|
||||
@field_validator("volume", "open_interest", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def _volume_oi_validate(cls, v):
|
||||
"""Return the volume as an integer."""
|
||||
return [0 if item is None else item for item in v]
|
||||
|
||||
|
||||
class IntrinioOptionsChainsFetcher(
|
||||
Fetcher[IntrinioOptionsChainsQueryParams, IntrinioOptionsChainsData]
|
||||
):
|
||||
"""Intrinio Options Chains Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioOptionsChainsQueryParams:
|
||||
"""Transform the query."""
|
||||
return IntrinioOptionsChainsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioOptionsChainsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> dict:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from datetime import timedelta # noqa
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_requests,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import (
|
||||
get_data_many,
|
||||
get_weekday,
|
||||
response_callback,
|
||||
)
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/options"
|
||||
|
||||
date = query.date if query.date is not None else datetime.now().date()
|
||||
date = get_weekday(date)
|
||||
|
||||
if query.symbol in ["SPX", "^SPX", "^GSPC"]:
|
||||
query.symbol = "SPX"
|
||||
warn("For weekly SPX options, use the symbol SPXW instead of SPX.")
|
||||
|
||||
async def get_urls(date: str) -> list[str]:
|
||||
"""Return the urls for the given date."""
|
||||
date = (datetime.strptime(date, "%Y-%m-%d") - timedelta(days=1)).strftime(
|
||||
"%Y-%m-%d"
|
||||
)
|
||||
url = (
|
||||
f"{base_url}/expirations/{query.symbol}/"
|
||||
f"{'eod' if query.delay == 'eod' else 'realtime'}?"
|
||||
f"{'after=' + date + '&' if query.delay == 'eod' else 'source=' + query.delay + '&'}"
|
||||
f"api_key={api_key}"
|
||||
)
|
||||
expirations = await get_data_many(url, "expirations", **kwargs)
|
||||
|
||||
def generate_url(expiration) -> str:
|
||||
url = f"{base_url}/chain/{query.symbol}/{expiration}/"
|
||||
if query.date is not None:
|
||||
query_string = get_querystring(
|
||||
query.model_dump(exclude_none=True),
|
||||
[
|
||||
"symbol",
|
||||
"date",
|
||||
"model",
|
||||
"volume_greater_than",
|
||||
"volume_less_than",
|
||||
"moneyness",
|
||||
"open_interest_greater_than",
|
||||
"open_interest_less_than",
|
||||
"show_extended_price",
|
||||
],
|
||||
)
|
||||
url = url + f"eod?date={query.date}&{query_string}"
|
||||
else:
|
||||
if query.moneyness:
|
||||
moneyness = (
|
||||
"out_of_the_money"
|
||||
if query.moneyness == "otm"
|
||||
else "in_the_money" if query.moneyness == "itm" else "all"
|
||||
)
|
||||
|
||||
query_string = get_querystring(
|
||||
query.model_dump(exclude_none=True),
|
||||
["symbol", "date", "moneyness"],
|
||||
)
|
||||
url = url + f"realtime?{query_string}&moneyness={moneyness}"
|
||||
|
||||
return url + f"&api_key={api_key}"
|
||||
|
||||
return [generate_url(expiration) for expiration in expirations]
|
||||
|
||||
async def callback(response, _) -> list:
|
||||
"""Return the response."""
|
||||
response_data = await response_callback(response, _)
|
||||
return response_data.get("chain", []) # type: ignore
|
||||
|
||||
results = await amake_requests(
|
||||
await get_urls(date.strftime("%Y-%m-%d")), callback, **kwargs
|
||||
)
|
||||
# If the EOD chains are not available for the given date, try the previous day
|
||||
if not results and query.date is not None:
|
||||
date = get_weekday(date - timedelta(days=1)).strftime("%Y-%m-%d")
|
||||
urls = await get_urls(date) # type: ignore
|
||||
results = await amake_requests(urls, response_callback=callback, **kwargs)
|
||||
|
||||
if not results:
|
||||
raise OpenBBError(f"No data found for the given symbol: {query.symbol}")
|
||||
|
||||
output: dict = {}
|
||||
underlying_price: dict = {}
|
||||
# If the EOD chains are requested, get the underlying price on the given date.
|
||||
if query.date is not None:
|
||||
if query.symbol.endswith("W") and query.symbol.startswith("SPX"):
|
||||
query.symbol = query.symbol[:-1]
|
||||
temp = None
|
||||
try:
|
||||
temp = await IntrinioEquityHistoricalFetcher.fetch_data(
|
||||
{"symbol": query.symbol, "start_date": date, "end_date": date},
|
||||
credentials,
|
||||
)
|
||||
temp = temp[0] # type: ignore
|
||||
# If the symbol is SPX, or similar, try to get the underlying price from the index.
|
||||
except Exception as e:
|
||||
try:
|
||||
temp = await IntrinioIndexHistoricalFetcher.fetch_data(
|
||||
{"symbol": query.symbol, "start_date": date, "end_date": date},
|
||||
credentials,
|
||||
)
|
||||
temp = temp[0] # type: ignore
|
||||
except Exception:
|
||||
warn(f"Failed to get underlying price for {query.symbol}: {e}")
|
||||
if temp:
|
||||
underlying_price["symbol"] = query.symbol
|
||||
underlying_price["price"] = temp.close
|
||||
underlying_price["date"] = temp.date.strftime("%Y-%m-%d")
|
||||
|
||||
output = {"underlying": underlying_price, "data": results}
|
||||
|
||||
return output
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioOptionsChainsQueryParams,
|
||||
data: dict,
|
||||
**kwargs: Any,
|
||||
) -> IntrinioOptionsChainsData:
|
||||
"""Return the transformed data."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from numpy import nan
|
||||
from pandas import DataFrame
|
||||
|
||||
results: list = []
|
||||
chains = data.get("data", [])
|
||||
underlying = data.get("underlying", {})
|
||||
last_price = underlying.get("price")
|
||||
if query.date is not None:
|
||||
for item in chains:
|
||||
new_item = {**item["option"], **item["prices"]}
|
||||
new_item["dte"] = (
|
||||
datetime.strptime(new_item["expiration"], "%Y-%m-%d").date()
|
||||
- datetime.strptime(new_item["date"], "%Y-%m-%d").date()
|
||||
).days
|
||||
if last_price:
|
||||
new_item["underlying_price"] = last_price
|
||||
_ = new_item.pop("exercise_style", None)
|
||||
new_item["underlying_symbol"] = new_item.pop("ticker")
|
||||
results.append(new_item)
|
||||
else:
|
||||
for item in chains:
|
||||
new_item = {
|
||||
**item["option"],
|
||||
**item["price"],
|
||||
**item["stats"],
|
||||
**item["extended_price"],
|
||||
}
|
||||
dte = (
|
||||
datetime.strptime(new_item["expiration"], "%Y-%m-%d").date()
|
||||
- datetime.now().date()
|
||||
).days
|
||||
new_item["dte"] = dte
|
||||
new_item["underlying_symbol"] = new_item.pop(
|
||||
"underlying_price_ticker", None
|
||||
)
|
||||
underlying["date"] = datetime.now().date()
|
||||
new_item["underlying_price"] = new_item.pop("underlying_price", None)
|
||||
_ = new_item.pop("ticker", None)
|
||||
_ = new_item.pop("trade_exchange", None)
|
||||
_ = new_item.pop("exercise_style", None)
|
||||
results.append(new_item)
|
||||
|
||||
output = DataFrame(results).replace({nan: None}).dropna(how="all", axis=1)
|
||||
output = output.sort_values(by=["expiration", "strike", "type"])
|
||||
|
||||
return IntrinioOptionsChainsData.model_validate(output.to_dict(orient="list"))
|
||||
@@ -1,337 +0,0 @@
|
||||
"""Intrinio Options Snapshots Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
)
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.options_snapshots import (
|
||||
OptionsSnapshotsData,
|
||||
OptionsSnapshotsQueryParams,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from pandas import DataFrame
|
||||
|
||||
|
||||
class IntrinioOptionsSnapshotsQueryParams(OptionsSnapshotsQueryParams):
|
||||
"""Intrinio Options Snapshots Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_options_snapshots_v2
|
||||
"""
|
||||
|
||||
date: dateType | datetime | str | None = Field(
|
||||
default=None,
|
||||
description="The date of the data. Can be a datetime or an ISO datetime string."
|
||||
+ " Data appears to go back to around 2022-06-01"
|
||||
+ " Example: '2024-03-08T12:15:00+0400'",
|
||||
)
|
||||
only_traded: bool = Field(
|
||||
default=True,
|
||||
description="Only include options that have been traded during the session, default is True."
|
||||
+ " Setting to false will dramatically increase the size of the response - use with caution.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioOptionsSnapshotsData(OptionsSnapshotsData):
|
||||
"""Intrinio Options Snapshots Data. Warning: This is a large file."""
|
||||
|
||||
bid: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The last bid price at the time.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
bid_size: list[int | None] = Field(
|
||||
default_factory=list,
|
||||
description="The size of the last bid price.",
|
||||
)
|
||||
bid_timestamp: list[datetime | None] = Field(
|
||||
default_factory=list,
|
||||
description="The timestamp of the last bid price.",
|
||||
)
|
||||
ask: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The last ask price at the time.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
ask_size: list[int | None] = Field(
|
||||
default_factory=list,
|
||||
description="The size of the last ask price.",
|
||||
)
|
||||
ask_timestamp: list[datetime | None] = Field(
|
||||
default_factory=list,
|
||||
description="The timestamp of the last ask price.",
|
||||
)
|
||||
total_bid_volume: list[int | None] = Field(
|
||||
default_factory=list,
|
||||
description="Total volume of bids.",
|
||||
)
|
||||
bid_high: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The highest bid price.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
bid_low: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The lowest bid price.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
total_ask_volume: list[int | None] = Field(
|
||||
default_factory=list,
|
||||
description="Total volume of asks.",
|
||||
)
|
||||
ask_high: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The highest ask price.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
ask_low: list[float | None] = Field(
|
||||
default_factory=list,
|
||||
description="The lowest ask price.",
|
||||
json_schema_extra={"x-unit_measurement": "currency"},
|
||||
)
|
||||
|
||||
|
||||
class IntrinioOptionsSnapshotsFetcher(
|
||||
Fetcher[
|
||||
IntrinioOptionsSnapshotsQueryParams,
|
||||
list[IntrinioOptionsSnapshotsData],
|
||||
]
|
||||
):
|
||||
"""Intrinio Options Snapshots Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioOptionsSnapshotsQueryParams:
|
||||
"""Transform the query params."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from pytz import timezone
|
||||
|
||||
transformed_params = params.copy()
|
||||
if "date" in transformed_params:
|
||||
if isinstance(transformed_params["date"], datetime):
|
||||
dt = transformed_params["date"]
|
||||
dt = dt.astimezone(tz=timezone("America/New_York"))
|
||||
if isinstance(transformed_params["date"], dateType):
|
||||
dt = transformed_params["date"] # type: ignore
|
||||
if isinstance(dt, dateType):
|
||||
dt = datetime(
|
||||
dt.year,
|
||||
dt.month,
|
||||
dt.day,
|
||||
16,
|
||||
15,
|
||||
0,
|
||||
0,
|
||||
tzinfo=timezone("America/New_York"),
|
||||
)
|
||||
if isinstance(transformed_params["date"], str):
|
||||
dt = datetime.fromisoformat(transformed_params["date"])
|
||||
else:
|
||||
try:
|
||||
dt = datetime.fromisoformat(str(transformed_params["date"])) # type: ignore
|
||||
except ValueError as exc:
|
||||
raise OpenBBError(
|
||||
"Invalid date format. Please use '2024-03-08T12:15-0400'."
|
||||
) from exc
|
||||
|
||||
transformed_params["date"] = (
|
||||
dt.strftime("%Y-%m-%dT%H:%M:%S.%f%z")
|
||||
.replace("+", "-")
|
||||
.replace("T00:", "T20:")
|
||||
if isinstance(dt, datetime)
|
||||
else dt
|
||||
)
|
||||
return IntrinioOptionsSnapshotsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioOptionsSnapshotsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> "DataFrame":
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import gzip # noqa
|
||||
from io import BytesIO # noqa
|
||||
from openbb_core.provider.utils.helpers import amake_request # noqa
|
||||
from pandas import DataFrame, read_csv # noqa
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
# This gets the URL to the actual file.
|
||||
url = f"https://api-v2.intrinio.com/options/snapshots?api_key={api_key}"
|
||||
if query.date:
|
||||
url += f"&at_datetime={query.date}"
|
||||
|
||||
try:
|
||||
response = await amake_request(url, **kwargs)
|
||||
except Exception as exc:
|
||||
raise OpenBBError("Could not fetch data from Intrinio.") from exc
|
||||
|
||||
if isinstance(response, dict) and "error" in response:
|
||||
raise OpenBBError(
|
||||
f"{response.get('error')}. Message: {response.get('message')}"
|
||||
)
|
||||
urls = []
|
||||
# Get the URL to the CSV file.
|
||||
if response.get("snapshots"): # type: ignore
|
||||
for d in response["snapshots"]: # type: ignore
|
||||
if d.get("files"):
|
||||
for f in d["files"]:
|
||||
if f.get("url"):
|
||||
urls.append(f.get("url"))
|
||||
if not urls:
|
||||
raise OpenBBError("No snapshots found.")
|
||||
|
||||
async def response_callback(response, _):
|
||||
"""Response Callback."""
|
||||
return await response.read()
|
||||
|
||||
async def get_csv(url) -> DataFrame:
|
||||
"""Return the CSV data."""
|
||||
try:
|
||||
response = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
df = DataFrame()
|
||||
if isinstance(response, bytes):
|
||||
file = gzip.decompress(response)
|
||||
df = read_csv(BytesIO(file))
|
||||
|
||||
return df
|
||||
|
||||
except Exception as exc:
|
||||
try:
|
||||
df = read_csv(response)
|
||||
return df
|
||||
except Exception:
|
||||
raise OpenBBError("Could not read file from URL.") from exc
|
||||
|
||||
# There should only be one URL with this bulk data.
|
||||
return await get_csv(urls[0])
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioOptionsSnapshotsQueryParams,
|
||||
data: "DataFrame",
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioOptionsSnapshotsData]:
|
||||
"""Return the transformed data."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
import numpy as np
|
||||
from pandas import NaT, Series, to_datetime
|
||||
from pytz import timezone
|
||||
|
||||
df = data
|
||||
if df.empty:
|
||||
raise OpenBBError("Empty CSV file")
|
||||
COL_MAP = {
|
||||
"CONTRACT ID": "contract_symbol",
|
||||
"OPEN INTEREST": "open_interest",
|
||||
"TRADE PRICE": "last_price",
|
||||
"TRADE SIZE": "last_size",
|
||||
"TOTAL TRADE VOLUME": "volume",
|
||||
"LAST TRADE TIMESTAMP": "last_timestamp",
|
||||
"TRADE HIGH PRICE": "high",
|
||||
"TRADE LOW PRICE": "low",
|
||||
"ASK PRICE": "ask",
|
||||
"ASK SIZE": "ask_size",
|
||||
"LAST ASK TIMESTAMP": "ask_timestamp",
|
||||
"BID PRICE": "bid",
|
||||
"BID SIZE": "bid_size",
|
||||
"LAST BID TIMESTAMP": "bid_timestamp",
|
||||
"TOTAL ASK VOLUME": "total_ask_volume",
|
||||
"ASK HIGH PRICE": "ask_high",
|
||||
"ASK LOW PRICE": "ask_low",
|
||||
"TOTAL BID VOLUME": "total_bid_volume",
|
||||
"BID HIGH PRICE": "bid_high",
|
||||
"BID LOW PRICE": "bid_low",
|
||||
}
|
||||
df = df.rename(columns=COL_MAP)
|
||||
to_drop_na = (
|
||||
["bid_timestamp", "ask_timestamp", "last_timestamp"]
|
||||
if query.only_traded is True
|
||||
else ["bid_timestamp", "ask_timestamp"]
|
||||
)
|
||||
df = df.dropna(subset=to_drop_na + ["contract_symbol"])
|
||||
for col in ["last_timestamp", "bid_timestamp", "ask_timestamp"]:
|
||||
# Convert Unix timestamp to tz-aware datetime
|
||||
df[col] = (
|
||||
to_datetime(df[col].replace("", None).astype(float), unit="s")
|
||||
.dt.tz_localize(timezone("UTC"))
|
||||
.dt.tz_convert(timezone("America/New_York"))
|
||||
.dt.floor("s")
|
||||
)
|
||||
|
||||
# Extract the underlying symbol, expiration, option type, and strike.
|
||||
symbols = Series(df["contract_symbol"].copy())
|
||||
df["underlying_symbol"] = symbols.str.extract(r"^(?P<underlying_symbol>[^_]*)")
|
||||
split_symbols = symbols.str.rsplit("_", n=1).str[-1]
|
||||
df["expiration"] = to_datetime(
|
||||
[symbol[:6] for symbol in split_symbols],
|
||||
format="%y%m%d",
|
||||
)
|
||||
df["option_type"] = split_symbols.str.extract(
|
||||
r"^\d*(?P<option_type>\D)"
|
||||
).replace({"C": "call", "P": "put"})
|
||||
df["strike"] = [
|
||||
(
|
||||
symbol[7:].lstrip("0")[:-3] + "." + symbol[7:].lstrip("0")[-3:]
|
||||
if "." not in symbol[7:]
|
||||
else symbol[7:]
|
||||
)
|
||||
for symbol in split_symbols
|
||||
]
|
||||
|
||||
def calculate_dte(df):
|
||||
"""Calculate the DTE."""
|
||||
new_df = df[
|
||||
["expiration", "last_timestamp", "bid_timestamp", "ask_timestamp"]
|
||||
].copy()
|
||||
conditions = [
|
||||
new_df["last_timestamp"].notna(),
|
||||
new_df["bid_timestamp"].notna(),
|
||||
new_df["ask_timestamp"].notna(),
|
||||
]
|
||||
choices = [
|
||||
(new_df["expiration"].dt.date - new_df["last_timestamp"].dt.date)
|
||||
.apply(lambda x: x)
|
||||
.dt.days,
|
||||
(new_df["expiration"].dt.date - new_df["bid_timestamp"].dt.date)
|
||||
.apply(lambda x: x)
|
||||
.dt.days,
|
||||
(new_df["expiration"].dt.date - new_df["ask_timestamp"].dt.date)
|
||||
.apply(lambda x: x)
|
||||
.dt.days,
|
||||
]
|
||||
new_df["dte"] = np.select(conditions, choices, default=None)
|
||||
return new_df["dte"]
|
||||
|
||||
df["dte"] = calculate_dte(df)
|
||||
|
||||
def apply_contract_symbol(x):
|
||||
"""Construct the OCC Contract Symbol."""
|
||||
symbol = x.split("_")[0].replace("_", "")
|
||||
exp = x.rsplit("_")[-1][:6]
|
||||
cp = x.rsplit("_")[-1][6]
|
||||
strike = x.rsplit("_")[-1][7:]
|
||||
_strike = strike.split(".")
|
||||
front = "0" * (5 - len(_strike[0]))
|
||||
back = "0" * (3 - len(_strike[1]))
|
||||
strike = f"{front}{_strike[0]}{_strike[1]}{back}"
|
||||
return symbol + exp + cp + strike
|
||||
|
||||
if symbols.str.contains(r"\.").any(): # noqa # pylint: disable=W1401
|
||||
df["contract_symbol"] = df["contract_symbol"].apply(apply_contract_symbol)
|
||||
else:
|
||||
df["contract_symbol"] = symbols.str.replace("_", "")
|
||||
df = df.replace({NaT: None, np.nan: None})
|
||||
df = df.sort_values(by="volume", ascending=False)
|
||||
|
||||
return [IntrinioOptionsSnapshotsData.model_validate(df.to_dict(orient="list"))]
|
||||
@@ -1,290 +0,0 @@
|
||||
"""Intrinio Unusual Options Model."""
|
||||
|
||||
# pylint: disable = unused-argument
|
||||
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
datetime,
|
||||
timedelta,
|
||||
)
|
||||
from typing import Any, Literal
|
||||
|
||||
from dateutil.parser import parse
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.options_unusual import (
|
||||
OptionsUnusualData,
|
||||
OptionsUnusualQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from pydantic import Field, field_validator, model_validator
|
||||
from pytz import timezone
|
||||
|
||||
|
||||
class IntrinioOptionsUnusualQueryParams(OptionsUnusualQueryParams):
|
||||
"""Intrinio Unusual Options Query.
|
||||
|
||||
source: https://docs.intrinio.com/documentation/web_api/get_unusual_activity_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"min_value": "minimum_total_value",
|
||||
"max_value": "maximum_total_value",
|
||||
"trade_type": "activity_type",
|
||||
}
|
||||
|
||||
start_date: dateType | None = Field(
|
||||
description=QUERY_DESCRIPTIONS.get("start_date", "")
|
||||
+ " If no symbol is supplied, requests are only allowed for a single date."
|
||||
+ " Use the start_date for the target date."
|
||||
+ " Intrinio appears to have data beginning Feb/2022,"
|
||||
+ " but is unclear when it actually began.",
|
||||
default=None,
|
||||
)
|
||||
end_date: dateType | None = Field(
|
||||
description=QUERY_DESCRIPTIONS.get("end_date", "")
|
||||
+ " If a symbol is not supplied, do not include an end date.",
|
||||
default=None,
|
||||
)
|
||||
trade_type: Literal["block", "sweep", "large"] | None = Field(
|
||||
description="The type of unusual activity to query for.",
|
||||
default=None,
|
||||
)
|
||||
sentiment: Literal["bullish", "bearish", "neutral"] | None = Field(
|
||||
description="The sentiment type to query for.",
|
||||
default=None,
|
||||
)
|
||||
min_value: int | float | None = Field(
|
||||
description="The inclusive minimum total value for the unusual activity.",
|
||||
default=None,
|
||||
)
|
||||
max_value: int | float | None = Field(
|
||||
description="The inclusive maximum total value for the unusual activity.",
|
||||
default=None,
|
||||
)
|
||||
limit: int = Field(
|
||||
description=QUERY_DESCRIPTIONS.get("limit", "")
|
||||
+ " A typical day for all symbols will yield 50-80K records."
|
||||
+ " The API will paginate at 1000 records."
|
||||
+ " The high default limit (100K) is to be able to reliably capture the most days."
|
||||
+ " The high absolute limit (1.25M) is to allow for outlier days."
|
||||
+ " Queries at the absolute limit will take a long time, and might be unreliable."
|
||||
+ " Apply filters to improve performance.",
|
||||
default=100000,
|
||||
lt=1250000,
|
||||
)
|
||||
source: Literal["delayed", "realtime"] = Field(
|
||||
default="delayed",
|
||||
description="The source of the data." + " Either realtime or delayed.",
|
||||
)
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def validate_params(cls, params):
|
||||
"""Validate the query parameters."""
|
||||
if params.get("start_date") is None:
|
||||
# If the symbol is provided, there will be considerably less results.
|
||||
# Broad market data needs to be confined to a single date.
|
||||
params["start_date"] = (
|
||||
dateType.today() - timedelta(days=10)
|
||||
if params.get("symbol") is not None
|
||||
else dateType.today()
|
||||
)
|
||||
|
||||
# Ensure the start date is not on a weekend.
|
||||
if params.get("start_date").weekday() > 4: # type: ignore
|
||||
params["start_date"] = params.get("start_date") + timedelta(days=4 - params.get("start_date").weekday()) # type: ignore
|
||||
|
||||
# If the end date is not provided, set it to the start date.
|
||||
if params.get("end_date") is None:
|
||||
params["end_date"] = params.get("start_date")
|
||||
|
||||
# Ensure the start date is before the end date.
|
||||
if params.get("start_date") > params.get("end_date"): # type: ignore
|
||||
params["start_date"], params["end_date"] = (
|
||||
params["end_date"],
|
||||
params["start_date"],
|
||||
)
|
||||
|
||||
# Ensure we are not overloading API.
|
||||
if (
|
||||
params.get("symbol") is None
|
||||
and (params.get("end_date") - params.get("start_date")).days >= 1
|
||||
):
|
||||
raise OpenBBError(
|
||||
"When no symbol is supplied, queries are not allowed if"
|
||||
+ " the date range covers more than one trading day."
|
||||
+ " Supply only the start_date for queries with no symbol."
|
||||
)
|
||||
|
||||
# Ensure the end date is not on a weekend.
|
||||
if params.get("end_date").weekday() > 4: # type: ignore
|
||||
params["end_date"] = params.get("end_date") + timedelta(days=7 - params.get("end_date").weekday()) # type: ignore
|
||||
|
||||
# Intrinio appears to make the end date not inclusive.
|
||||
# It doesn't want the start/end dates to be the same, set the end date to the next day.
|
||||
if params.get("end_date") is not None or params.get("start_date") == params.get(
|
||||
"end_date"
|
||||
):
|
||||
params["end_date"] = params.get("end_date") + timedelta(days=1) # type: ignore
|
||||
|
||||
return params
|
||||
|
||||
|
||||
class IntrinioOptionsUnusualData(OptionsUnusualData):
|
||||
"""Intrinio Unusual Options Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"contract_symbol": "contract",
|
||||
"underlying_symbol": "symbol",
|
||||
"trade_type": "type",
|
||||
"trade_timestamp": "timestamp",
|
||||
}
|
||||
|
||||
trade_timestamp: datetime = Field(description="The datetime of order placement.")
|
||||
trade_type: Literal["block", "sweep", "large", "sweep"] = Field(
|
||||
description="The type of unusual trade."
|
||||
)
|
||||
sentiment: Literal["bullish", "bearish", "neutral"] = Field(
|
||||
description=(
|
||||
"Bullish, Bearish, or Neutral Sentiment is estimated based on whether"
|
||||
+ " the trade was executed at the bid, ask, or mark price."
|
||||
)
|
||||
)
|
||||
bid_at_execution: float = Field(description="Bid price at execution.")
|
||||
ask_at_execution: float = Field(description="Ask price at execution.")
|
||||
average_price: float = Field(
|
||||
description="The average premium paid per option contract."
|
||||
)
|
||||
underlying_price_at_execution: float | None = Field(
|
||||
default=None,
|
||||
description="Price of the underlying security at execution of trade.",
|
||||
)
|
||||
total_size: int = Field(
|
||||
description="The total number of contracts involved in a single transaction."
|
||||
)
|
||||
total_value: int | float = Field(
|
||||
description="The aggregated value of all option contract premiums included in the trade."
|
||||
)
|
||||
|
||||
@field_validator("trade_timestamp", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def validate_timestamp(cls, v):
|
||||
"""Convert the timestamp string to a datetime object."""
|
||||
if v:
|
||||
v = parse(v)
|
||||
v = v.replace(microsecond=0)
|
||||
v = v.astimezone(timezone("America/New_York"))
|
||||
return v
|
||||
return None
|
||||
|
||||
@field_validator("contract_symbol", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def validate_contract_symbol(cls, v):
|
||||
"""Return the symbol as the OCC standard format."""
|
||||
return v.replace("_", "") if v else None
|
||||
|
||||
@field_validator("trade_type", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def validate_trade_type(cls, v):
|
||||
"""Validate the trade type."""
|
||||
if v and "_" in v:
|
||||
v = v.split("_")[-1]
|
||||
return v.lower()
|
||||
|
||||
@field_validator("underlying_price_at_execution", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def replace_zero(cls, v):
|
||||
"""Replace a 0 with None."""
|
||||
if v:
|
||||
return None if v == 0 else v
|
||||
return None
|
||||
|
||||
|
||||
class IntrinioOptionsUnusualFetcher(
|
||||
Fetcher[IntrinioOptionsUnusualQueryParams, list[IntrinioOptionsUnusualData]]
|
||||
):
|
||||
"""Intrinio Unusual Options Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioOptionsUnusualQueryParams:
|
||||
"""Transform the query."""
|
||||
return IntrinioOptionsUnusualQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioOptionsUnusualQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
data: list = []
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/options/unusual_activity"
|
||||
|
||||
query_str = get_querystring(query.model_dump(), ["symbol", "limit"])
|
||||
|
||||
# Page size is capped at 1000 for this endpoint. They don't tell you though.
|
||||
url = (
|
||||
base_url
|
||||
+ f"/{query.symbol}/intraday?{query_str}&page_size=1000&api_key={api_key}"
|
||||
if query.symbol
|
||||
else base_url + f"/intraday?{query_str}&page_size=1000&api_key={api_key}"
|
||||
)
|
||||
|
||||
data = []
|
||||
|
||||
async def response_callback(response: ClientResponse, session: ClientSession):
|
||||
"""Async response callback."""
|
||||
results = await response.json()
|
||||
if "trades" in results and len(results.get("trades")) > 0: # type: ignore
|
||||
data.extend(
|
||||
sorted(
|
||||
results["trades"], # type: ignore
|
||||
key=lambda x: x["timestamp"],
|
||||
reverse=True,
|
||||
)
|
||||
)
|
||||
records = len(data)
|
||||
while (
|
||||
"next_page" in results
|
||||
and results.get("next_page") is not None # type: ignore
|
||||
and records < query.limit
|
||||
):
|
||||
next_page = results["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
results = await amake_request(next_url, session=session, **kwargs)
|
||||
if "trades" in results and len(results.get("trades")) > 0: # type: ignore
|
||||
data.extend(
|
||||
sorted(
|
||||
results["trades"], # type: ignore
|
||||
key=lambda x: x["timestamp"],
|
||||
reverse=True,
|
||||
)
|
||||
)
|
||||
records = len(data)
|
||||
return data
|
||||
|
||||
return await amake_request(url, response_callback=response_callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioOptionsUnusualQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioOptionsUnusualData]:
|
||||
"""Return the transformed data."""
|
||||
if not data:
|
||||
raise EmptyDataError()
|
||||
return [
|
||||
IntrinioOptionsUnusualData.model_validate(d) for d in data[: query.limit]
|
||||
]
|
||||
@@ -1,178 +0,0 @@
|
||||
"""Intrinio Price Target Consensus Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
import asyncio
|
||||
from datetime import date as dateType
|
||||
from typing import Any
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.price_target_consensus import (
|
||||
PriceTargetConsensusData,
|
||||
PriceTargetConsensusQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
amake_request,
|
||||
get_querystring,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import response_callback
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioPriceTargetConsensusQueryParams(PriceTargetConsensusQueryParams):
|
||||
"""Intrinio Price Target Consensus Query.
|
||||
|
||||
https://docs.intrinio.com/documentation/web_api/get_zacks_sales__v2
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
industry_group_number: int | None = Field(
|
||||
default=None,
|
||||
description="The Zacks industry group number.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioPriceTargetConsensusData(PriceTargetConsensusData):
|
||||
"""Intrinio Price Target Consensus Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"symbol": "ticker",
|
||||
"name": "company_name",
|
||||
"target_high": "high",
|
||||
"target_low": "low",
|
||||
"target_consensus": "mean",
|
||||
"target_median": "median",
|
||||
}
|
||||
standard_deviation: float | None = Field(
|
||||
default=None,
|
||||
description="The standard deviation of target price estimates.",
|
||||
)
|
||||
total_analysts: int | None = Field(
|
||||
default=None,
|
||||
description="The total number of target price estimates in consensus.",
|
||||
)
|
||||
raised: int | None = Field(
|
||||
default=None,
|
||||
description="The number of analysts that have raised their target price estimates.",
|
||||
)
|
||||
lowered: int | None = Field(
|
||||
default=None,
|
||||
description="The number of analysts that have lowered their target price estimates.",
|
||||
)
|
||||
most_recent_date: dateType | None = Field(
|
||||
default=None,
|
||||
description="The date of the most recent estimate.",
|
||||
)
|
||||
industry_group_number: int | None = Field(
|
||||
default=None,
|
||||
description="The Zacks industry group number.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioPriceTargetConsensusFetcher(
|
||||
Fetcher[
|
||||
IntrinioPriceTargetConsensusQueryParams, list[IntrinioPriceTargetConsensusData]
|
||||
]
|
||||
):
|
||||
"""Intrinio Price Target Consensus Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioPriceTargetConsensusQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioPriceTargetConsensusQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioPriceTargetConsensusQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
BASE_URL = (
|
||||
"https://api-v2.intrinio.com/zacks/target_price_consensuses?page_size=10000"
|
||||
)
|
||||
|
||||
symbols = query.symbol.split(",") if query.symbol else None
|
||||
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ["symbol"])
|
||||
|
||||
results: list[dict] = []
|
||||
|
||||
async def get_one(symbol):
|
||||
"""Get the data for one symbol."""
|
||||
url = f"{BASE_URL}&identifier={symbol}&{query_str}&api_key={api_key}"
|
||||
new_data: list[dict] = []
|
||||
data = await amake_request(
|
||||
url, response_callback=response_callback, **kwargs
|
||||
)
|
||||
if (
|
||||
not data
|
||||
or not isinstance(data, dict)
|
||||
or not data.get("target_price_consensuses")
|
||||
):
|
||||
warn(f"Symbol Error: No data found for {symbol}")
|
||||
if isinstance(data, dict) and data.get("target_price_consensuses"):
|
||||
new_data = data.get("target_price_consensuses") # type: ignore
|
||||
if new_data:
|
||||
results.extend(new_data)
|
||||
|
||||
if symbols:
|
||||
await asyncio.gather(*[get_one(symbol) for symbol in symbols])
|
||||
return results
|
||||
|
||||
async def fetch_callback(response, session):
|
||||
"""Use callback for pagination."""
|
||||
data = await response.json()
|
||||
messages = data.get("messages")
|
||||
if messages:
|
||||
raise OpenBBError(str(messages))
|
||||
_data = data.get("target_price_consensuses")
|
||||
if _data and len(_data) > 0:
|
||||
results.extend(_data) # type: ignore
|
||||
while data.get("next_page"): # type: ignore
|
||||
next_page = data["next_page"] # type: ignore
|
||||
next_url = f"{url}&next_page={next_page}"
|
||||
data = await amake_request(next_url, session=session, **kwargs)
|
||||
if "" in data and len(data.get("target_price_consensuses")) > 0: # type: ignore
|
||||
results.extend(data.get("target_price_consensuses")) # type: ignore
|
||||
return results
|
||||
|
||||
url = f"{BASE_URL}&{query_str}&api_key={api_key}"
|
||||
results = await amake_request(url, response_callback=fetch_callback, **kwargs) # type: ignore
|
||||
|
||||
if not results:
|
||||
raise EmptyDataError("The request was successful but was returned empty.")
|
||||
|
||||
return results
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioPriceTargetConsensusQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioPriceTargetConsensusData]:
|
||||
"""Transform the raw data into the standard format."""
|
||||
symbols = query.symbol.split(",") if query.symbol else []
|
||||
results: list[IntrinioPriceTargetConsensusData] = []
|
||||
for item in sorted( # type: ignore
|
||||
sorted( # type: ignore
|
||||
data,
|
||||
key=lambda item: item.get("most_recent_date"), # type: ignore
|
||||
reverse=True,
|
||||
),
|
||||
key=lambda item: (
|
||||
symbols.index(item.get("symbol")) if item.get("symbol") in symbols else len(symbols) # type: ignore
|
||||
),
|
||||
):
|
||||
_ = item.pop("company")
|
||||
results.append(IntrinioPriceTargetConsensusData.model_validate(item))
|
||||
|
||||
return results
|
||||
@@ -1,147 +0,0 @@
|
||||
"""Intrinio Reported Financials Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any, Literal
|
||||
from warnings import warn
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.reported_financials import (
|
||||
ReportedFinancialsData,
|
||||
ReportedFinancialsQueryParams,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
STATEMENT_DICT = {
|
||||
"balance": "balance_sheet_statement",
|
||||
"income": "income_statement",
|
||||
"cash": "cash_flow_statement",
|
||||
}
|
||||
|
||||
|
||||
class IntrinioReportedFinancialsQueryParams(ReportedFinancialsQueryParams):
|
||||
"""Intrinio Reported Financials Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_company_fundamentals_v2
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_fundamental_reported_financials_v2
|
||||
"""
|
||||
|
||||
statement_type: Literal["balance", "income", "cash"] = Field(
|
||||
default="income",
|
||||
description="Cash flow statements are reported as YTD, Q4 is the same as FY.",
|
||||
)
|
||||
period: Literal["annual", "quarter"] = Field(default="annual")
|
||||
fiscal_year: int | None = Field(
|
||||
default=None,
|
||||
description="The specific fiscal year. Reports do not go beyond 2008.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioReportedFinancialsData(ReportedFinancialsData):
|
||||
"""
|
||||
Intrinio Reported Financials Data.
|
||||
|
||||
The fields for this model are generated dynamically from the XBRL tags in the Intrinio response.
|
||||
"""
|
||||
|
||||
|
||||
class IntrinioReportedFinancialsFetcher(
|
||||
Fetcher[
|
||||
IntrinioReportedFinancialsQueryParams,
|
||||
list[IntrinioReportedFinancialsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(
|
||||
params: dict[str, Any],
|
||||
) -> IntrinioReportedFinancialsQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioReportedFinancialsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioReportedFinancialsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
amake_requests,
|
||||
)
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
from pandas import DataFrame
|
||||
|
||||
period_type = ""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
statement_code = STATEMENT_DICT[query.statement_type]
|
||||
period_type = "FY" if query.period == "annual" else "Q"
|
||||
ids = []
|
||||
ids_url = f"https://api-v2.intrinio.com/companies/{query.symbol}/fundamentals?reported_only=true&statement_code={statement_code}"
|
||||
if query.fiscal_year is not None:
|
||||
if query.fiscal_year < 2008:
|
||||
warn("Financials data is only available from 2008 and later.")
|
||||
query.fiscal_year = 2008
|
||||
ids_url = ids_url + f"&fiscal_year={query.fiscal_year}"
|
||||
ids_url = ids_url + f"&page_size=10000&api_key={api_key}"
|
||||
|
||||
fundamentals_ids = await get_data_one(ids_url, **kwargs)
|
||||
filings = DataFrame(fundamentals_ids["fundamentals"])
|
||||
|
||||
_period = "" if query.period is None else period_type
|
||||
_statement = "" if statement_code is None else statement_code
|
||||
if len(filings) > 0:
|
||||
filings = filings[filings["statement_code"].str.contains(_statement)]
|
||||
if query.period == "annual":
|
||||
filings = filings[filings["fiscal_period"].str.contains(_period)]
|
||||
ids = filings.iloc[: query.limit]["id"].to_list()
|
||||
|
||||
if ids == []:
|
||||
raise OpenBBError("No reports found.")
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
statement_data = await response.json()
|
||||
return {
|
||||
"period_ending": statement_data["fundamental"]["end_date"], # type: ignore
|
||||
"fiscal_year": statement_data["fundamental"]["fiscal_year"], # type: ignore
|
||||
"fiscal_period": statement_data["fundamental"]["fiscal_period"], # type: ignore
|
||||
"financials": statement_data["reported_financials"], # type: ignore
|
||||
}
|
||||
|
||||
urls = [
|
||||
f"https://api-v2.intrinio.com/fundamentals/{id}/reported_financials?api_key={api_key}"
|
||||
for id in ids
|
||||
]
|
||||
|
||||
return await amake_requests(urls, callback, **kwargs)
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioReportedFinancialsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioReportedFinancialsData]:
|
||||
"""Return the transformed data."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.helpers import to_snake_case
|
||||
|
||||
transformed_data: list[IntrinioReportedFinancialsData] = []
|
||||
data_tag = "xbrl_tag"
|
||||
for item in data:
|
||||
sub_dict: dict[str, Any] = {}
|
||||
|
||||
for sub_item in item["financials"]:
|
||||
field_name = to_snake_case(sub_item[data_tag]["tag"])
|
||||
if sub_item["value"] and sub_item["value"] != 0:
|
||||
sub_dict[field_name] = float(sub_item["value"])
|
||||
|
||||
sub_dict["period_ending"] = item["period_ending"]
|
||||
sub_dict["fiscal_year"] = item["fiscal_year"]
|
||||
sub_dict["fiscal_period"] = item["fiscal_period"]
|
||||
|
||||
transformed_data.append(IntrinioReportedFinancialsData(**sub_dict))
|
||||
|
||||
return transformed_data
|
||||
@@ -1,75 +0,0 @@
|
||||
"""Intrinio Search Attributes Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.search_attributes import (
|
||||
SearchAttributesData,
|
||||
SearchAttributesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data_one
|
||||
|
||||
|
||||
class IntrinioSearchAttributesQueryParams(SearchAttributesQueryParams):
|
||||
"""Intrinio Search Attributes Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/search_data_tags_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {"limit": "page_size"}
|
||||
|
||||
|
||||
class IntrinioSearchAttributesData(SearchAttributesData):
|
||||
"""Intrinio Search Attributes Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"parent_name": "parent",
|
||||
"transaction": "balance",
|
||||
}
|
||||
|
||||
|
||||
class IntrinioSearchAttributesFetcher(
|
||||
Fetcher[
|
||||
IntrinioSearchAttributesQueryParams,
|
||||
list[IntrinioSearchAttributesData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioSearchAttributesQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioSearchAttributesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioSearchAttributesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com"
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), [])
|
||||
|
||||
url = f"{base_url}/data_tags/search?{query_str}&api_key={api_key}"
|
||||
data = await get_data_one(url, **kwargs)
|
||||
|
||||
# Intrinio doesn't return the correct number of results when using the limit parameter
|
||||
# Temporary fix until they fix it
|
||||
data = data.get("tags", [])[: query.limit]
|
||||
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioSearchAttributesQueryParams,
|
||||
data: list[dict],
|
||||
**kwargs: Any,
|
||||
) -> list[IntrinioSearchAttributesData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioSearchAttributesData.model_validate(item) for item in data]
|
||||
@@ -1,95 +0,0 @@
|
||||
"""Intrinio Share Statistics Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Any
|
||||
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.share_statistics import (
|
||||
ShareStatisticsData,
|
||||
ShareStatisticsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
amake_requests,
|
||||
)
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioShareStatisticsQueryParams(ShareStatisticsQueryParams):
|
||||
"""Intrinio Share Statistics Query.
|
||||
|
||||
Source: https://data.intrinio.com/data-tag/adjweightedavebasicdilutedsharesos
|
||||
https://data.intrinio.com/data-tag/weightedavebasicdilutedsharesos
|
||||
https://data.intrinio.com/data-tag/public_float
|
||||
"""
|
||||
|
||||
|
||||
class IntrinioShareStatisticsData(ShareStatisticsData):
|
||||
"""Intrinio Share Statistics Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"outstanding_shares": "weightedavebasicdilutedsharesos",
|
||||
"adjusted_outstanding_shares": "adjweightedavebasicdilutedsharesos",
|
||||
}
|
||||
|
||||
adjusted_outstanding_shares: float | None = Field(
|
||||
default=None,
|
||||
description="Total number of shares of a publicly-traded company, adjusted for splits.",
|
||||
)
|
||||
public_float: float | None = Field(
|
||||
default=None,
|
||||
description="Aggregate market value of the shares of a publicly-traded company.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioShareStatisticsFetcher(
|
||||
Fetcher[
|
||||
IntrinioShareStatisticsQueryParams,
|
||||
list[IntrinioShareStatisticsData],
|
||||
]
|
||||
):
|
||||
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioShareStatisticsQueryParams:
|
||||
"""Transform the query params."""
|
||||
return IntrinioShareStatisticsQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioShareStatisticsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
data = {"symbol": query.symbol, "date": datetime.now().date()}
|
||||
|
||||
tags = [
|
||||
"public_float",
|
||||
"weightedavebasicdilutedsharesos",
|
||||
"adjweightedavebasicdilutedsharesos",
|
||||
]
|
||||
|
||||
urls = [
|
||||
f"https://api-v2.intrinio.com/companies/{query.symbol}/data_point/{tag}/number?api_key={api_key}"
|
||||
for tag in tags
|
||||
]
|
||||
|
||||
async def callback(response: ClientResponse, _: Any) -> dict:
|
||||
"""Return the response."""
|
||||
return {response.url.parts[-2]: await response.json()}
|
||||
|
||||
for result in await amake_requests(urls, callback, **kwargs):
|
||||
data.update(result)
|
||||
|
||||
return [data]
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioShareStatisticsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioShareStatisticsData]:
|
||||
"""Return the transformed data."""
|
||||
return [IntrinioShareStatisticsData.model_validate(d) for d in data]
|
||||
@@ -1,254 +0,0 @@
|
||||
"""Intrinio World News Model."""
|
||||
|
||||
# pylint: disable=unused-argument
|
||||
|
||||
from datetime import datetime, timedelta
|
||||
from typing import Any, Literal
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.abstract.fetcher import Fetcher
|
||||
from openbb_core.provider.standard_models.world_news import (
|
||||
WorldNewsData,
|
||||
WorldNewsQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_intrinio.utils.references import IntrinioCompany, IntrinioSecurity
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class IntrinioWorldNewsQueryParams(WorldNewsQueryParams):
|
||||
"""Intrinio World News Query.
|
||||
|
||||
Source: https://docs.intrinio.com/documentation/web_api/get_all_company_news_v2
|
||||
"""
|
||||
|
||||
__alias_dict__ = {
|
||||
"source": "specific_source",
|
||||
"limit": "page_size",
|
||||
}
|
||||
source: (
|
||||
Literal["yahoo", "moody", "moody_us_news", "moody_us_press_releases"] | None
|
||||
) = Field(
|
||||
default=None,
|
||||
description="The source of the news article.",
|
||||
)
|
||||
sentiment: None | Literal["positive", "neutral", "negative"] = Field(
|
||||
default=None,
|
||||
description="Return news only from this source.",
|
||||
)
|
||||
language: str | None = Field(
|
||||
default=None,
|
||||
description="Filter by language. Unsupported for yahoo source.",
|
||||
)
|
||||
topic: str | None = Field(
|
||||
default=None,
|
||||
description="Filter by topic. Unsupported for yahoo source.",
|
||||
)
|
||||
word_count_greater_than: int | None = Field(
|
||||
default=None,
|
||||
description="News stories will have a word count greater than this value."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
word_count_less_than: int | None = Field(
|
||||
default=None,
|
||||
description="News stories will have a word count less than this value."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
is_spam: bool | None = Field(
|
||||
default=None,
|
||||
description="Filter whether it is marked as spam or not."
|
||||
+ " Unsupported for yahoo source.",
|
||||
)
|
||||
business_relevance_greater_than: float | None = Field(
|
||||
default=None,
|
||||
ge=0,
|
||||
le=1,
|
||||
description="News stories will have a business relevance score more than this value."
|
||||
+ " Unsupported for yahoo source. Value is a decimal between 0 and 1.",
|
||||
)
|
||||
business_relevance_less_than: float | None = Field(
|
||||
default=None,
|
||||
ge=0,
|
||||
le=1,
|
||||
description="News stories will have a business relevance score less than this value."
|
||||
+ " Unsupported for yahoo source. Value is a decimal between 0 and 1.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioWorldNewsData(WorldNewsData):
|
||||
"""Intrinio World News Data."""
|
||||
|
||||
__alias_dict__ = {
|
||||
"date": "publication_date",
|
||||
"sentiment": "article_sentiment",
|
||||
"sentiment_confidence": "article_sentiment_confidence",
|
||||
}
|
||||
source: str | None = Field(
|
||||
default=None,
|
||||
description="The source of the news article.",
|
||||
)
|
||||
summary: str | None = Field(
|
||||
default=None,
|
||||
description="The summary of the news article.",
|
||||
)
|
||||
topics: str | None = Field(
|
||||
default=None,
|
||||
description="The topics related to the news article.",
|
||||
)
|
||||
word_count: int | None = Field(
|
||||
default=None,
|
||||
description="The word count of the news article.",
|
||||
)
|
||||
business_relevance: float | None = Field(
|
||||
default=None,
|
||||
description=" How strongly correlated the news article is to the business",
|
||||
)
|
||||
sentiment: str | None = Field(
|
||||
default=None,
|
||||
description="The sentiment of the news article - i.e, negative, positive.",
|
||||
)
|
||||
sentiment_confidence: float | None = Field(
|
||||
default=None,
|
||||
description="The confidence score of the sentiment rating.",
|
||||
)
|
||||
language: str | None = Field(
|
||||
default=None,
|
||||
description="The language of the news article.",
|
||||
)
|
||||
spam: bool | None = Field(
|
||||
default=None,
|
||||
description="Whether the news article is spam.",
|
||||
)
|
||||
copyright: str | None = Field(
|
||||
default=None,
|
||||
description="The copyright notice of the news article.",
|
||||
)
|
||||
id: str = Field(description="Article ID.")
|
||||
company: IntrinioCompany | None = Field(
|
||||
default=None,
|
||||
description="The Intrinio Company object. Contains details company reference data.",
|
||||
)
|
||||
security: IntrinioSecurity | None = Field(
|
||||
default=None,
|
||||
description="The Intrinio Security object. Contains the security details related to the news article.",
|
||||
)
|
||||
|
||||
@field_validator("publication_date", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def date_validate(cls, v):
|
||||
"""Return the date as a datetime object."""
|
||||
return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S.000Z")
|
||||
|
||||
@field_validator("topics", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def topics_validate(cls, v):
|
||||
""" "Parse the topics as a string."""
|
||||
if v:
|
||||
topics = [t.get("name") for t in v if t and t not in ["", " "]]
|
||||
return ", ".join(topics)
|
||||
return None
|
||||
|
||||
@field_validator("copyright", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def copyright_validate(cls, v):
|
||||
"""Clean empty strings"""
|
||||
return None if v in ["", " "] else v
|
||||
|
||||
|
||||
class IntrinioWorldNewsFetcher(
|
||||
Fetcher[
|
||||
IntrinioWorldNewsQueryParams,
|
||||
list[IntrinioWorldNewsData],
|
||||
]
|
||||
):
|
||||
"""Intrinio World News Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> IntrinioWorldNewsQueryParams:
|
||||
"""Transform the query params."""
|
||||
transformed_params = params
|
||||
if not transformed_params.get("start_date"):
|
||||
transformed_params["start_date"] = datetime.now().date()
|
||||
if not transformed_params.get("end_date"):
|
||||
transformed_params["end_date"] = (datetime.now() + timedelta(days=1)).date()
|
||||
if transformed_params["start_date"] == transformed_params["end_date"]:
|
||||
transformed_params["end_date"] = (
|
||||
transformed_params["end_date"] + timedelta(days=1)
|
||||
).date()
|
||||
return IntrinioWorldNewsQueryParams(**transformed_params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: IntrinioWorldNewsQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> list[dict]:
|
||||
"""Return the raw data from the Intrinio endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.helpers import amake_request, get_querystring
|
||||
from openbb_intrinio.utils.helpers import get_data
|
||||
|
||||
api_key = credentials.get("intrinio_api_key") if credentials else ""
|
||||
|
||||
base_url = "https://api-v2.intrinio.com/companies"
|
||||
ignore = (
|
||||
["symbol", "page_size", "is_spam"]
|
||||
if not query.source or query.source == "yahoo"
|
||||
else ["symbol", "page_size"]
|
||||
)
|
||||
query_str = get_querystring(query.model_dump(by_alias=True), ignore)
|
||||
url = f"{base_url}/news?{query_str}&page_size={query.limit}&api_key={api_key}"
|
||||
seen = set()
|
||||
|
||||
async def callback(response, session):
|
||||
"""Response callback."""
|
||||
result = await response.json()
|
||||
|
||||
if isinstance(result, dict) and "error" in result:
|
||||
if "api key" in result.get("message", "").lower():
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {result.get('message')}"
|
||||
)
|
||||
raise OpenBBError(f"Error in Intrinio request -> {result}")
|
||||
|
||||
_data = result.get("news", [])
|
||||
data = []
|
||||
data.extend([x for x in _data if not (x["url"] in seen or seen.add(x["url"]))]) # type: ignore
|
||||
articles = len(data)
|
||||
next_page = result.get("next_page")
|
||||
while next_page and articles < query.limit:
|
||||
url = f"{base_url}/news?{query_str}&page_size={query.limit}&api_key={api_key}&next_page={next_page}"
|
||||
result = await get_data(url, session=session, **kwargs)
|
||||
_data = result.get("news", [])
|
||||
if _data:
|
||||
# Remove duplicates based on URL
|
||||
data.extend([x for x in _data if not (x["url"] in seen or seen.add(x["url"]))]) # type: ignore
|
||||
articles = len(data)
|
||||
next_page = result.get("next_page")
|
||||
return sorted(data, key=lambda x: x["publication_date"], reverse=True)[
|
||||
: query.limit
|
||||
]
|
||||
|
||||
return await amake_request(url, response_callback=callback, **kwargs) # type: ignore
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: IntrinioWorldNewsQueryParams, data: list[dict], **kwargs: Any
|
||||
) -> list[IntrinioWorldNewsData]:
|
||||
"""Return the transformed data."""
|
||||
if not data:
|
||||
raise EmptyDataError(
|
||||
"Error: The request was returned as empty."
|
||||
+ " Try adjusting the requested date ranges, if applicable."
|
||||
)
|
||||
results: list[IntrinioWorldNewsData] = []
|
||||
for item in data:
|
||||
body = item.get("body", {})
|
||||
if not body:
|
||||
item["text"] = item.pop("summary")
|
||||
if body:
|
||||
_ = item.pop("body")
|
||||
item["publication_date"] = body.get("publication_date", None)
|
||||
item["text"] = body.get("body", None)
|
||||
results.append(IntrinioWorldNewsData.model_validate(item))
|
||||
return results
|
||||
@@ -1 +0,0 @@
|
||||
"""Intrinio utils directory."""
|
||||
@@ -1,153 +0,0 @@
|
||||
"""Intrinio Helpers Module."""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
from datetime import (
|
||||
date as dateType,
|
||||
timedelta,
|
||||
)
|
||||
from io import StringIO
|
||||
from typing import Any, TypeVar
|
||||
|
||||
from openbb_core.app.model.abstract.error import OpenBBError
|
||||
from openbb_core.provider.utils.errors import EmptyDataError, UnauthorizedError
|
||||
from openbb_core.provider.utils.helpers import (
|
||||
ClientResponse,
|
||||
ClientSession,
|
||||
amake_request,
|
||||
)
|
||||
from pydantic import BaseModel
|
||||
|
||||
T = TypeVar("T", bound=BaseModel)
|
||||
|
||||
|
||||
class BasicResponse:
|
||||
"""Basic Response class."""
|
||||
|
||||
def __init__(self, response: StringIO):
|
||||
"""Initialize the BasicResponse class."""
|
||||
# Find a way to get the status code
|
||||
self.status_code = 200
|
||||
response.seek(0)
|
||||
self.text = response.read()
|
||||
|
||||
def json(self) -> dict:
|
||||
"""Return the response as a dictionary."""
|
||||
return json.loads(self.text)
|
||||
|
||||
|
||||
def request(url: str) -> BasicResponse:
|
||||
"""
|
||||
Request function for PyScript. Pass in Method and make sure to await.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
url: str
|
||||
URL to make request to
|
||||
|
||||
Return:
|
||||
-------
|
||||
response: BasicRequest
|
||||
BasicRequest object with status_code and text attributes
|
||||
"""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from pyodide.http import open_url # type: ignore
|
||||
|
||||
response = open_url(url)
|
||||
return BasicResponse(response)
|
||||
|
||||
|
||||
async def response_callback(
|
||||
response: ClientResponse, _: ClientSession
|
||||
) -> dict | list[dict]:
|
||||
"""Use callback for async_request."""
|
||||
data = await response.json()
|
||||
|
||||
if isinstance(data, dict) and "error" in data:
|
||||
message = data.get("message", "")
|
||||
error = data.get("error", "")
|
||||
if "api key" in message.lower() or error.startswith(
|
||||
"You do not have sufficient access to view this data"
|
||||
):
|
||||
raise UnauthorizedError(
|
||||
f"Unauthorized Intrinio request -> {message} -> {error}"
|
||||
)
|
||||
|
||||
raise OpenBBError(f"Error in Intrinio request -> {message} -> {error}")
|
||||
|
||||
if isinstance(data, (str, float)):
|
||||
data = {"value": data}
|
||||
|
||||
if isinstance(data, list) and len(data) == 0:
|
||||
raise EmptyDataError()
|
||||
|
||||
return data
|
||||
|
||||
|
||||
async def get_data(url: str, **kwargs: Any) -> list | dict:
|
||||
"""Get data from Intrinio endpoint."""
|
||||
return await amake_request(url, response_callback=response_callback, **kwargs)
|
||||
|
||||
|
||||
async def get_data_many(
|
||||
url: str, sub_dict: str | None = None, **kwargs: Any
|
||||
) -> list[dict]:
|
||||
"""Get data from Intrinio endpoint and convert to list of schemas.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
url: str
|
||||
The URL to get the data from.
|
||||
sub_dict: Optional[str]
|
||||
The sub-dictionary to use.
|
||||
|
||||
Returns
|
||||
-------
|
||||
List[dict]
|
||||
Dictionary of data.
|
||||
"""
|
||||
data = await get_data(url, **kwargs)
|
||||
if sub_dict and isinstance(data, dict):
|
||||
data = data.get(sub_dict, [])
|
||||
if isinstance(data, dict):
|
||||
raise ValueError("Expected list of dicts, got dict")
|
||||
return data
|
||||
|
||||
|
||||
async def get_data_one(url: str, **kwargs: Any) -> dict[str, Any]:
|
||||
"""Get data from Intrinio endpoint and convert to schema."""
|
||||
data = await get_data(url, **kwargs)
|
||||
if isinstance(data, list):
|
||||
if len(data) == 0:
|
||||
raise ValueError("Expected dict, got empty list")
|
||||
|
||||
try:
|
||||
data = {i: data[i] for i in range(len(data))} if len(data) > 1 else data[0]
|
||||
except TypeError as e:
|
||||
raise ValueError("Expected dict, got list of dicts") from e
|
||||
|
||||
return data
|
||||
|
||||
|
||||
def get_weekday(date: dateType) -> dateType:
|
||||
"""Return the weekday date."""
|
||||
if date.weekday() in [5, 6]:
|
||||
return date - timedelta(days=date.weekday() - 4)
|
||||
return date
|
||||
|
||||
|
||||
async def async_get_data_one(
|
||||
url: str, limit: int = 1, sleep: float = 1, **kwargs: Any
|
||||
) -> list | dict:
|
||||
"""Get data from Intrinio endpoint and convert to schema."""
|
||||
if limit > 100:
|
||||
await asyncio.sleep(sleep)
|
||||
|
||||
try:
|
||||
data = await get_data(url, **kwargs)
|
||||
except Exception as e:
|
||||
if "limit" not in str(e):
|
||||
raise e
|
||||
return await async_get_data_one(url, limit, sleep, **kwargs)
|
||||
|
||||
return data
|
||||
@@ -1,155 +0,0 @@
|
||||
"""Intrinio References Helpers."""
|
||||
|
||||
from typing import Literal
|
||||
|
||||
from openbb_core.provider.abstract.data import Data
|
||||
from pydantic import Field
|
||||
|
||||
SOURCES = Literal[
|
||||
"iex",
|
||||
"bats",
|
||||
"bats_delayed",
|
||||
"utp_delayed",
|
||||
"cta_a_delayed",
|
||||
"cta_b_delayed",
|
||||
"intrinio_mx",
|
||||
"intrinio_mx_plus",
|
||||
"delayed_sip",
|
||||
]
|
||||
|
||||
VENUES = {
|
||||
"A": "NYSE MKT LLC",
|
||||
"B": "NASDAQ OMX BX, Inc.",
|
||||
"C": "National Stock Exchange Inc. (NSX)",
|
||||
"D": "FINRA ADF",
|
||||
"I": "International Securities Exchange, LLC",
|
||||
"J": "Bats EDGA Exchange, INC",
|
||||
"K": "Bats EDGX Exchange, Inc.",
|
||||
"M": "Chicago Stock Exchange, Inc. (CHX)",
|
||||
"N": "New York Stock Exchange LLC",
|
||||
"P": "NYSE Arca, Inc.",
|
||||
"S": "Consolidated Tape System",
|
||||
"T": "NASDAQ (Tape A, B securities)",
|
||||
"Q": "NASDAQ (Tape C securities)",
|
||||
"V": "The Investors' Exchange, LLC (IEX)",
|
||||
"W": "Chicago Broad Options Exchange, Inc. (CBOE)",
|
||||
"X": "NASDAQ OMX PSX, Inc. LLC",
|
||||
"Y": "Bats BYX Exchange, Inc.",
|
||||
"Z": "Bats BZX Exchange, Inc.",
|
||||
"u": "Other OTC Markets",
|
||||
}
|
||||
|
||||
|
||||
ETF_EXCHANGES = Literal[
|
||||
"xnas",
|
||||
"arcx",
|
||||
"bats",
|
||||
"xnys",
|
||||
"bvmf",
|
||||
"xshg",
|
||||
"xshe",
|
||||
"xhkg",
|
||||
"xbom",
|
||||
"xnse",
|
||||
"xidx",
|
||||
"tase",
|
||||
"xkrx",
|
||||
"xkls",
|
||||
"xmex",
|
||||
"xses",
|
||||
"roco",
|
||||
"xtai",
|
||||
"xbkk",
|
||||
"xist",
|
||||
]
|
||||
|
||||
|
||||
ETF_PERFORMANCE_MAP = {
|
||||
"trailing_one_month_return_split_and_dividend": "one_month",
|
||||
"trailing_one_month_return_split_only": "one_month",
|
||||
"trailing_one_year_return_split_and_dividend": "one_year",
|
||||
"trailing_one_year_return_split_only": "one_year",
|
||||
"trailing_one_year_volatility_annualized": "volatility_one_year",
|
||||
"trailing_three_year_annualized_return_split_and_dividend": "three_year",
|
||||
"trailing_three_year_annualized_return_split_only": "three_year",
|
||||
"trailing_three_year_volatility_annualized": "volatility_three_year",
|
||||
"trailing_five_year_annualized_return_split_and_dividend": "five_year",
|
||||
"trailing_five_year_annualized_return_split_only": "five_year",
|
||||
"trailing_five_year_volatility_annualized": "volatility_five_year",
|
||||
"trailing_ten_year_annualized_return_split_and_dividend": "ten_year",
|
||||
"trailing_ten_year_annualized_return_split_only": "ten_year",
|
||||
"inception_annualized_return_split_and_dividend": "max_annualized",
|
||||
"inception_annualized_return_split_only": "max_annualized",
|
||||
"calendar_year_5_return_split_and_dividend": "five_year",
|
||||
"calendar_year_5_return_split_only": "five_year",
|
||||
"calendar_year_4_return_split_and_dividend": "four_year",
|
||||
"calendar_year_4_return_split_only": "four_year",
|
||||
"calendar_year_3_return_split_and_dividend": "three_year",
|
||||
"calendar_year_3_return_split_only": "three_year",
|
||||
"calendar_year_2_return_split_and_dividend": "two_year",
|
||||
"calendar_year_2_return_split_only": "two_year",
|
||||
"calendar_year_1_return_split_and_dividend": "one_year",
|
||||
"calendar_year_1_return_split_only": "one_year",
|
||||
"calendar_year_to_date_return_split_and_dividend": "ytd",
|
||||
"calendar_year_to_date_return_split_only": "ytd",
|
||||
"net_asset_value": "nav",
|
||||
"beta_vs_spy": "beta",
|
||||
}
|
||||
|
||||
|
||||
class IntrinioCompany(Data):
|
||||
"""Intrinio Company Data."""
|
||||
|
||||
id: str = Field(description="The Intrinio ID of the Company.")
|
||||
ticker: str | None = Field(
|
||||
description="The stock market ticker symbol associated with the company's common stock securities",
|
||||
default=None,
|
||||
)
|
||||
name: str | None = Field(description="The company's common name.", default=None)
|
||||
lei: str | None = Field(
|
||||
description="The Legal Entity Identifier (LEI) of the company.", default=None
|
||||
)
|
||||
cik: str | None = Field(
|
||||
description="The Central Index Key (CIK) of the company.",
|
||||
)
|
||||
|
||||
|
||||
class IntrinioSecurity(Data):
|
||||
"""Intrinio Security Data."""
|
||||
|
||||
id: str = Field(description="The Intrinio ID for Security.")
|
||||
company_id: str | None = Field(
|
||||
description="The Intrinio ID for the company for which the Security is issued.",
|
||||
default=None,
|
||||
)
|
||||
name: str | None = Field(description="Name of the Security.", default=None)
|
||||
code: str | None = Field(
|
||||
description="""
|
||||
A 2-3 digit code classifying the Security.
|
||||
Reference: https://docs.intrinio.com/documentation/security_codes
|
||||
""",
|
||||
default=None,
|
||||
)
|
||||
currency: str | None = Field(
|
||||
description="The currency in which the Security is traded.", default=None
|
||||
)
|
||||
ticker: str | None = Field(
|
||||
description="The common/local ticker of the Security.", default=None
|
||||
)
|
||||
composite_ticker: str | None = Field(
|
||||
description="The country-composite ticker of the Security.", default=None
|
||||
)
|
||||
figi: str | None = Field(description="The OpenFIGI identifier.", default=None)
|
||||
composite_figi: str | None = Field(
|
||||
description="The country-composite OpenFIGI identifier.", default=None
|
||||
)
|
||||
share_class_figi: str | None = Field(
|
||||
description="The global-composite OpenFIGI identifier.", default=None
|
||||
)
|
||||
primary_listing: bool | None = Field(
|
||||
description="""
|
||||
If true, the Security is the primary issue for the company,
|
||||
otherwise it is a secondary issue on a secondary stock exchange,
|
||||
""",
|
||||
default=None,
|
||||
)
|
||||
2045
openbb_platform/providers/intrinio/poetry.lock
generated
vendored
2045
openbb_platform/providers/intrinio/poetry.lock
generated
vendored
File diff suppressed because it is too large
Load Diff
@@ -1,20 +0,0 @@
|
||||
[tool.poetry]
|
||||
name = "openbb-intrinio"
|
||||
version = "1.6.1"
|
||||
description = "Intrinio extension for OpenBB"
|
||||
authors = ["OpenBB Team <hello@openbb.co>"]
|
||||
license = "AGPL-3.0-only"
|
||||
readme = "README.md"
|
||||
packages = [{ include = "openbb_intrinio" }]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<4"
|
||||
requests-cache = "^1.1.0"
|
||||
openbb-core = "^1.6.10"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.poetry.plugins."openbb_provider_extension"]
|
||||
intrinio = "openbb_intrinio:intrinio_provider"
|
||||
@@ -1 +0,0 @@
|
||||
"""Intrinio tests."""
|
||||
@@ -1,321 +0,0 @@
|
||||
interactions:
|
||||
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||||
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|
||||
Accept-Encoding:
|
||||
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|
||||
Connection:
|
||||
- keep-alive
|
||||
method: GET
|
||||
uri: https://api-v2.intrinio.com/companies/AAPL/fundamentals?api_key=MOCK_API_KEY&statement_code=balance_sheet_statement&type=FY
|
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status:
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message: OK
|
||||
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|
||||
body: null
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||||
headers:
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||||
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||||
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|
||||
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|
||||
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|
||||
Connection:
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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version: 1
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@@ -1,547 +0,0 @@
|
||||
"""Test Intrinio fetchers."""
|
||||
|
||||
from datetime import date
|
||||
from unittest import mock
|
||||
|
||||
import pytest
|
||||
from openbb_core.app.service.user_service import UserService
|
||||
from openbb_intrinio.models.balance_sheet import IntrinioBalanceSheetFetcher
|
||||
from openbb_intrinio.models.calendar_ipo import IntrinioCalendarIpoFetcher
|
||||
from openbb_intrinio.models.cash_flow import IntrinioCashFlowStatementFetcher
|
||||
from openbb_intrinio.models.company_filings import IntrinioCompanyFilingsFetcher
|
||||
from openbb_intrinio.models.company_news import IntrinioCompanyNewsFetcher
|
||||
from openbb_intrinio.models.currency_pairs import IntrinioCurrencyPairsFetcher
|
||||
from openbb_intrinio.models.equity_historical import IntrinioEquityHistoricalFetcher
|
||||
from openbb_intrinio.models.equity_info import IntrinioEquityInfoFetcher
|
||||
from openbb_intrinio.models.equity_quote import IntrinioEquityQuoteFetcher
|
||||
from openbb_intrinio.models.equity_search import IntrinioEquitySearchFetcher
|
||||
from openbb_intrinio.models.etf_holdings import IntrinioEtfHoldingsFetcher
|
||||
from openbb_intrinio.models.etf_info import IntrinioEtfInfoFetcher
|
||||
from openbb_intrinio.models.etf_price_performance import (
|
||||
IntrinioEtfPricePerformanceFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.etf_search import IntrinioEtfSearchFetcher
|
||||
from openbb_intrinio.models.financial_ratios import IntrinioFinancialRatiosFetcher
|
||||
from openbb_intrinio.models.forward_ebitda_estimates import (
|
||||
IntrinioForwardEbitdaEstimatesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.forward_eps_estimates import (
|
||||
IntrinioForwardEpsEstimatesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.forward_pe_estimates import (
|
||||
IntrinioForwardPeEstimatesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.forward_sales_estimates import (
|
||||
IntrinioForwardSalesEstimatesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.fred_series import IntrinioFredSeriesFetcher
|
||||
from openbb_intrinio.models.historical_attributes import (
|
||||
IntrinioHistoricalAttributesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.historical_dividends import (
|
||||
IntrinioHistoricalDividendsFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.historical_market_cap import (
|
||||
IntrinioHistoricalMarketCapFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.income_statement import IntrinioIncomeStatementFetcher
|
||||
from openbb_intrinio.models.index_historical import IntrinioIndexHistoricalFetcher
|
||||
from openbb_intrinio.models.insider_trading import IntrinioInsiderTradingFetcher
|
||||
|
||||
# from openbb_intrinio.models.institutional_ownership import (
|
||||
# IntrinioInstitutionalOwnershipFetcher,
|
||||
# )
|
||||
from openbb_intrinio.models.key_metrics import IntrinioKeyMetricsFetcher
|
||||
from openbb_intrinio.models.latest_attributes import IntrinioLatestAttributesFetcher
|
||||
from openbb_intrinio.models.market_snapshots import IntrinioMarketSnapshotsFetcher
|
||||
from openbb_intrinio.models.options_chains import IntrinioOptionsChainsFetcher
|
||||
from openbb_intrinio.models.options_snapshots import IntrinioOptionsSnapshotsFetcher
|
||||
from openbb_intrinio.models.options_unusual import IntrinioOptionsUnusualFetcher
|
||||
from openbb_intrinio.models.price_target_consensus import (
|
||||
IntrinioPriceTargetConsensusFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.reported_financials import IntrinioReportedFinancialsFetcher
|
||||
from openbb_intrinio.models.search_attributes import (
|
||||
IntrinioSearchAttributesFetcher,
|
||||
)
|
||||
from openbb_intrinio.models.share_statistics import IntrinioShareStatisticsFetcher
|
||||
from openbb_intrinio.models.world_news import IntrinioWorldNewsFetcher
|
||||
|
||||
test_credentials = UserService().default_user_settings.credentials.model_dump(
|
||||
mode="json"
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def vcr_config():
|
||||
"""VCR configuration."""
|
||||
return {
|
||||
"filter_headers": [("User-Agent", None)],
|
||||
"filter_query_parameters": [
|
||||
("api_key", "MOCK_API_KEY"),
|
||||
("X-Amz-Algorithm", "MOCK_X-Amz-Algorithm"),
|
||||
("X-Amz-Credential", "MOCK_X-Amz-Credential"),
|
||||
("X-Amz-Date", "MOCK_X-Amz-Date"),
|
||||
("X-Amz-Expires", "MOCK_X-Amz-Expires"),
|
||||
("X-Amz-SignedHeaders", "MOCK_X-Amz-SignedHeaders"),
|
||||
("X-Amz-Signature", "MOCK_X-Amz-Signature"),
|
||||
],
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True, scope="module")
|
||||
def mock_cpu_count():
|
||||
"""Mock the cpu_count function so recording works."""
|
||||
with mock.patch(
|
||||
"os.cpu_count"
|
||||
) as mock_cpu_count: # pylint: disable=redefined-outer-name
|
||||
mock_cpu_count.return_value = -3
|
||||
yield
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_equity_historical_fetcher(credentials=test_credentials):
|
||||
"""Test equity historical fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 1, 10),
|
||||
"interval": "1d",
|
||||
}
|
||||
|
||||
fetcher = IntrinioEquityHistoricalFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_currency_pairs_fetcher(credentials=test_credentials):
|
||||
"""Test currency pairs fetcher."""
|
||||
params = {}
|
||||
|
||||
fetcher = IntrinioCurrencyPairsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_company_news_fetcher(credentials=test_credentials):
|
||||
"""Test company news fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"limit": 50,
|
||||
"source": "yahoo",
|
||||
"start_date": date(2024, 1, 2),
|
||||
"end_date": date(2024, 1, 3),
|
||||
}
|
||||
|
||||
fetcher = IntrinioCompanyNewsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_world_news_fetcher(credentials=test_credentials):
|
||||
"""Test world news fetcher."""
|
||||
params = {
|
||||
"limit": 50,
|
||||
"source": "yahoo",
|
||||
"start_date": date(2024, 1, 2),
|
||||
"end_date": date(2024, 1, 3),
|
||||
}
|
||||
|
||||
fetcher = IntrinioWorldNewsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_equity_quote_fetcher(credentials=test_credentials):
|
||||
"""Test equity quote fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioEquityQuoteFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_options_chains_fetcher(credentials=test_credentials):
|
||||
"""Test options chains fetcher."""
|
||||
|
||||
params = {"symbol": "AAPL", "date": date(2023, 9, 15), "delay": "eod"}
|
||||
|
||||
fetcher = IntrinioOptionsChainsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_options_unusual_fetcher(credentials=test_credentials):
|
||||
"""Test options unusual fetcher."""
|
||||
params = {
|
||||
"source": "delayed",
|
||||
"trade_type": "block",
|
||||
"sentiment": "neutral",
|
||||
"start_date": date(2023, 11, 20),
|
||||
"min_value": 10000000,
|
||||
}
|
||||
|
||||
fetcher = IntrinioOptionsUnusualFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_balance_sheet_fetcher(credentials=test_credentials):
|
||||
"""Test balance sheet fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioBalanceSheetFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_cash_flow_statement_fetcher(credentials=test_credentials):
|
||||
"""Test cash flow statement fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
fetcher = IntrinioCashFlowStatementFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_income_statement_fetcher(credentials=test_credentials):
|
||||
"""Test income statement fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioIncomeStatementFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_fred_series_fetcher(credentials=test_credentials):
|
||||
"""Test fred series fetcher."""
|
||||
params = {
|
||||
"symbol": "$GDP",
|
||||
"start_date": date(2022, 9, 20),
|
||||
"end_date": date(2023, 9, 20),
|
||||
}
|
||||
|
||||
fetcher = IntrinioFredSeriesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_calendar_ipo_fetcher(credentials=test_credentials):
|
||||
"""Test calendar IPO fetcher."""
|
||||
params = {"status": "upcoming"}
|
||||
|
||||
fetcher = IntrinioCalendarIpoFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_search_attributes(credentials=test_credentials):
|
||||
"""Test search attributes fetcher."""
|
||||
params = {"query": "ebit"}
|
||||
|
||||
fetcher = IntrinioSearchAttributesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_historical_attributes(credentials=test_credentials):
|
||||
"""Test historical attributes fetcher."""
|
||||
params = {
|
||||
"provider": "intrinio",
|
||||
"symbol": "AAPL,MSFT",
|
||||
"tag": "ebit,marketcap",
|
||||
"frequency": "yearly",
|
||||
"limit": 1000,
|
||||
"tag_type": None,
|
||||
"start_date": date(2013, 1, 1),
|
||||
"end_date": date(2023, 1, 1),
|
||||
"sort": "desc",
|
||||
}
|
||||
|
||||
fetcher = IntrinioHistoricalAttributesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_latest_attributes(credentials=test_credentials):
|
||||
"""Test latest attributes fetcher."""
|
||||
params = {
|
||||
"provider": "intrinio",
|
||||
"symbol": "AAPL,MSFT",
|
||||
"tag": "ceo,marketcap",
|
||||
}
|
||||
|
||||
fetcher = IntrinioLatestAttributesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_equity_info_fetcher(credentials=test_credentials):
|
||||
"""Test equity info fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioEquityInfoFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_index_historical_fetcher(credentials=test_credentials):
|
||||
"""Test index historical fetcher."""
|
||||
params = {
|
||||
"symbol": "DJI",
|
||||
"start_date": date(2024, 1, 1),
|
||||
"end_date": date(2024, 2, 5),
|
||||
}
|
||||
|
||||
fetcher = IntrinioIndexHistoricalFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_historical_dividends_fetcher(credentials=test_credentials):
|
||||
"""Test historical dividends fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 6, 6),
|
||||
}
|
||||
|
||||
fetcher = IntrinioHistoricalDividendsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_company_filings_fetcher(credentials=test_credentials):
|
||||
"""Test company filings fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"form_type": None,
|
||||
"limit": 100,
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 6, 6),
|
||||
}
|
||||
|
||||
fetcher = IntrinioCompanyFilingsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_insider_trading_fetcher(credentials=test_credentials):
|
||||
"""Test insider trading fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 6, 6),
|
||||
}
|
||||
|
||||
fetcher = IntrinioInsiderTradingFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
# Disabled due to unreliable Intrinio endpoint
|
||||
# @pytest.mark.record_http
|
||||
# def test_intrinio_institutional_ownership_fetcher(credentials=test_credentials):
|
||||
# params = {"symbol": "AAPL"}
|
||||
|
||||
# fetcher = IntrinioInstitutionalOwnershipFetcher()
|
||||
# result = fetcher.test(params, credentials)
|
||||
# assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_key_metrics_fetcher(credentials=test_credentials):
|
||||
"""Test key metrics fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioKeyMetricsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_share_statistics_fetcher(credentials=test_credentials):
|
||||
"""Test share statistics fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioShareStatisticsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_equity_search_fetcher(credentials=test_credentials):
|
||||
"""Test equity search fetcher."""
|
||||
params = {"query": "gold", "limit": 100}
|
||||
|
||||
fetcher = IntrinioEquitySearchFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_financial_ratios_fetcher(credentials=test_credentials):
|
||||
"""Test financial ratios fetcher."""
|
||||
params = {"symbol": "AAPL", "period": "annual", "limit": 2, "use_cache": False}
|
||||
|
||||
fetcher = IntrinioFinancialRatiosFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_reported_financials_fetcher(credentials=test_credentials):
|
||||
"""Test reported financials fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"statement_type": "cash",
|
||||
"period": "quarter",
|
||||
"limit": 1,
|
||||
}
|
||||
|
||||
fetcher = IntrinioReportedFinancialsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_etf_search_fetcher(credentials=test_credentials):
|
||||
"""Test etf search fetcher."""
|
||||
params = {"query": "factor", "exchange": "bats"}
|
||||
|
||||
fetcher = IntrinioEtfSearchFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_etf_info_fetcher(credentials=test_credentials):
|
||||
"""Test etf info fetcher."""
|
||||
params = {"symbol": "DJIA,SPY,GOVT"}
|
||||
|
||||
fetcher = IntrinioEtfInfoFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_etf_holdings_fetcher(credentials=test_credentials):
|
||||
"""Test etf holdings fetcher."""
|
||||
params = {"symbol": "DJIA"}
|
||||
|
||||
fetcher = IntrinioEtfHoldingsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_etf_price_performance_fetcher(credentials=test_credentials):
|
||||
"""Test etf price performance fetcher."""
|
||||
params = {"symbol": "SPY:US"}
|
||||
|
||||
fetcher = IntrinioEtfPricePerformanceFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_market_snapshots_fetcher(credentials=test_credentials):
|
||||
"""Test market snapshots fetcher."""
|
||||
params = {"date": date(2022, 6, 30)}
|
||||
|
||||
fetcher = IntrinioMarketSnapshotsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_forward_eps_estimates_fetcher(credentials=test_credentials):
|
||||
"""Test forward EPS estimates fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioForwardEpsEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_forward_sales_estimates_fetcher(credentials=test_credentials):
|
||||
"""Test forward sales estimates fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioForwardSalesEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_price_target_consensus_fetcher(credentials=test_credentials):
|
||||
"""Test price target consensus fetcher."""
|
||||
params = {"symbol": "AAPL"}
|
||||
|
||||
fetcher = IntrinioPriceTargetConsensusFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_forward_pe_fetcher(credentials=test_credentials):
|
||||
"""Test forward pe fetcher."""
|
||||
params = {"symbol": "AAPL,MSFT"}
|
||||
|
||||
fetcher = IntrinioForwardPeEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_forward_ebitda_fetcher(credentials=test_credentials):
|
||||
"""Test forward ebitda fetcher."""
|
||||
params = {"symbol": "AAPL,MSFT"}
|
||||
|
||||
fetcher = IntrinioForwardEbitdaEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.skip(reason="HTTP request is too large and unreasonable to store.")
|
||||
def test_intrinio_options_snapshots(credentials=test_credentials):
|
||||
"""Test options snapshots fetcher."""
|
||||
params = {"date": "2024-06-11"}
|
||||
|
||||
fetcher = IntrinioOptionsSnapshotsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_intrinio_historical_market_cap(credentials=test_credentials):
|
||||
"""Test options snapshots fetcher."""
|
||||
params = {
|
||||
"symbol": "AAPL,MSFT",
|
||||
"start_date": date(2020, 1, 1),
|
||||
"end_date": date(2020, 12, 31),
|
||||
"interval": "week",
|
||||
}
|
||||
|
||||
fetcher = IntrinioHistoricalMarketCapFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
Reference in New Issue
Block a user