mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-11-06 17:31:53 +00:00
Hotfix/fix yfinance sdk4 (#5455)
This commit is contained in:
Danglewood
@@ -15,7 +15,7 @@ from openbb_provider.standard_models.major_indices_historical import (
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MajorIndicesHistoricalQueryParams,
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)
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from openbb_provider.utils.helpers import make_request
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from pydantic import Field, validator
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from pydantic import Field
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class CboeMajorIndicesHistoricalQueryParams(MajorIndicesHistoricalQueryParams):
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@@ -43,18 +43,6 @@ class CboeMajorIndicesHistoricalData(MajorIndicesHistoricalData):
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description="Total number of options traded during the most recent trading period. Only valid if interval is 1m."
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)
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@validator("date", pre=True, check_fields=False)
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def date_validate(cls, v): # pylint: disable=E0213
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"""Return formatted datetime string."""
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if isinstance(v, str):
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try:
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dt = datetime.strptime(v, "%Y-%m-%d %H:%M:%S")
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return dt.strftime("%Y-%m-%d %H:%M:%S")
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except ValueError:
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dt = datetime.strptime(v, "%Y-%m-%d")
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return dt.strftime("%Y-%m-%d")
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return v
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class CboeMajorIndicesHistoricalFetcher(
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Fetcher[
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@@ -166,14 +154,13 @@ class CboeMajorIndicesHistoricalFetcher(
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data["close"] = round(data.close.astype(float), 2)
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data["volume"] = 0
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data.index = pd.to_datetime(data.index, format="%Y-%m-%d")
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data.index = pd.to_datetime(data.index)
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data = data[data["open"] > 0]
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data = data[
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(data.index >= pd.to_datetime(query.start_date, format="%Y-%m-%d"))
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& (data.index <= pd.to_datetime(query.end_date, format="%Y-%m-%d"))
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(data.index >= pd.to_datetime(query.start_date))
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& (data.index <= pd.to_datetime(query.end_date))
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]
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data.index = data.index.astype(str)
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if query.interval == "1m":
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data_list = r.json()["data"]
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@@ -200,8 +187,6 @@ class CboeMajorIndicesHistoricalFetcher(
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data_list[i]["volume"]["total_options_volume"]
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)
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data = pd.DataFrame()
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date = [d.replace("T", " ") for d in date]
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date = [datetime.strptime(d, "%Y-%m-%d %H:%M:%S") for d in date]
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data["date"] = pd.to_datetime(date)
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data["open"] = open_
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data["high"] = high
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@@ -162,13 +162,12 @@ class CboeStockHistoricalFetcher(
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data["close"] = round(data.close.astype(float), 2)
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data["volume"] = 0
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data.index = pd.to_datetime(data.index, format="%Y-%m-%d")
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data.index = pd.to_datetime(data.index)
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data = data[data["open"] > 0]
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data = data[
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(data.index >= pd.to_datetime(start_date, format="%Y-%m-%d"))
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& (data.index <= pd.to_datetime(end_date, format="%Y-%m-%d"))
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(data.index >= pd.to_datetime(start_date))
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& (data.index <= pd.to_datetime(end_date))
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]
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data.index = data.index.strftime("%Y-%m-%d")
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if query.interval == "1m":
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data_list = r.json()["data"]
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date: list[datetime] = []
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@@ -2,7 +2,7 @@
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Literal, Optional
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from dateutil.relativedelta import relativedelta
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from openbb_fmp.utils.helpers import get_data_many
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@@ -12,7 +12,7 @@ from openbb_provider.standard_models.crypto_historical import (
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CryptoHistoricalQueryParams,
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)
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from openbb_provider.utils.helpers import get_querystring
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from pydantic import Field, NonNegativeInt, validator
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from pydantic import Field, NonNegativeInt
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class FMPCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
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@@ -26,35 +26,32 @@ class FMPCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
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timeseries: Optional[NonNegativeInt] = Field(
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default=None, description="Number of days to look back."
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)
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interval: Literal[
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"1min", "5min", "15min", "30min", "1hour", "4hour", "1day"
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] = Field(default="1day", description="Data granularity.")
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class FMPCryptoHistoricalData(CryptoHistoricalData):
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"""FMP Crypto end of day Data."""
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adjClose: float = Field(
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description="Adjusted Close Price of the symbol.", alias="adj_close"
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adjClose: Optional[float] = Field(description="Adjusted Close Price of the symbol.")
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unadjustedVolume: Optional[float] = Field(
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description="Unadjusted volume of the symbol."
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)
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unadjustedVolume: float = Field(
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description="Unadjusted volume of the symbol.", alias="unadjusted_volume"
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change: Optional[float] = Field(
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description="Change in the price of the symbol from the previous day."
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)
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change: float = Field(
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description="Change in the price of the symbol from the previous day.",
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alias="change",
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changePercent: Optional[float] = Field(
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description=r"Change % in the price of the symbol."
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)
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changePercent: float = Field(
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description=r"Change % in the price of the symbol.", alias="change_percent"
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vwap: Optional[float] = Field(
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description="Volume Weighted Average Price of the symbol."
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)
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label: str = Field(description="Human readable format of the date.")
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changeOverTime: float = Field(
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description=r"Change % in the price of the symbol over a period of time.",
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alias="change_over_time",
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label: Optional[str] = Field(description="Human readable format of the date.")
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changeOverTime: Optional[float] = Field(
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description=r"Change % in the price of the symbol over a period of time."
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)
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@validator("date", pre=True)
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def date_validate(cls, v): # pylint: disable=E0213
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"""Return the date as a datetime object."""
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return datetime.strptime(v, "%Y-%m-%d")
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class FMPCryptoHistoricalFetcher(
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Fetcher[
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@@ -87,10 +84,18 @@ class FMPCryptoHistoricalFetcher(
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"""Return the raw data from the FMP endpoint."""
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api_key = credentials.get("fmp_api_key") if credentials else ""
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base_url = "https://financialmodelingprep.com/api/v3/"
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query_str = get_querystring(query.dict(by_alias=True), ["symbol"])
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query_str = query_str.replace("start_date", "from").replace("end_date", "to")
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url = f"{base_url}historical-price-full/crypto/{query.symbol}?{query_str}&apikey={api_key}"
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base_url = "https://financialmodelingprep.com/api/v3"
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query_str = (
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get_querystring(query.dict(), ["symbol"])
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.replace("start_date", "from")
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.replace("end_date", "to")
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)
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url_params = f"{query.symbol}?{query_str}&apikey={api_key}"
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url = f"{base_url}/historical-chart/{query.interval}/{url_params}"
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if query.interval == "1day":
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url = f"{base_url}/historical-price-full/crypto/{url_params}"
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return get_data_many(url, "historical", **kwargs)
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@@ -2,7 +2,7 @@
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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from typing import Any, Dict, List, Literal, Optional
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from dateutil.relativedelta import relativedelta
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from openbb_fmp.utils.helpers import get_data_many, get_querystring
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@@ -11,7 +11,7 @@ from openbb_provider.standard_models.forex_historical import (
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ForexHistoricalData,
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ForexHistoricalQueryParams,
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)
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from pydantic import Field, validator
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from pydantic import Field
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class FMPForexHistoricalQueryParams(ForexHistoricalQueryParams):
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@@ -20,34 +20,33 @@ class FMPForexHistoricalQueryParams(ForexHistoricalQueryParams):
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Source: https://site.financialmodelingprep.com/developer/docs/#Historical-Forex-Price
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"""
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interval: Literal[
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"1min", "5min", "15min", "30min", "1hour", "4hour", "1day"
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] = Field(default="1day", description="Data granularity.")
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class FMPForexHistoricalData(ForexHistoricalData):
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"""FMP Forex end of day Data."""
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adjClose: float = Field(
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adjClose: Optional[float] = Field(
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description="Adjusted Close Price of the symbol.", alias="adj_close"
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)
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unadjustedVolume: float = Field(
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unadjustedVolume: Optional[float] = Field(
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description="Unadjusted volume of the symbol.", alias="unadjusted_volume"
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)
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change: float = Field(
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change: Optional[float] = Field(
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description="Change in the price of the symbol from the previous day.",
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alias="change",
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)
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changePercent: float = Field(
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changePercent: Optional[float] = Field(
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description=r"Change % in the price of the symbol.", alias="change_percent"
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)
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label: str = Field(description="Human readable format of the date.")
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changeOverTime: float = Field(
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label: Optional[str] = Field(description="Human readable format of the date.")
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changeOverTime: Optional[float] = Field(
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description=r"Change % in the price of the symbol over a period of time.",
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alias="change_over_time",
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)
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@validator("date", pre=True)
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def date_validate(cls, v): # pylint: disable=E0213
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"""Return the date as a datetime object."""
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return datetime.strptime(v, "%Y-%m-%d")
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class FMPForexHistoricalFetcher(
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Fetcher[
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@@ -81,9 +80,17 @@ class FMPForexHistoricalFetcher(
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api_key = credentials.get("fmp_api_key") if credentials else ""
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base_url = "https://financialmodelingprep.com/api/v3"
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query_str = get_querystring(query.dict(by_alias=True), ["symbol"])
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query_str = query_str.replace("start_date", "from").replace("end_date", "to")
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url = f"{base_url}/historical-price-full/forex/{query.symbol}?{query_str}&apikey={api_key}"
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query_str = (
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get_querystring(query.dict(), ["symbol"])
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.replace("start_date", "from")
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.replace("end_date", "to")
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)
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url_params = f"{query.symbol}?{query_str}&apikey={api_key}"
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url = f"{base_url}/historical-chart/{query.interval}/{url_params}"
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if query.interval == "1day":
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url = f"{base_url}/historical-price-full/forex/{url_params}"
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return get_data_many(url, "historical", **kwargs)
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@@ -12,7 +12,7 @@ from openbb_provider.standard_models.major_indices_historical import (
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MajorIndicesHistoricalQueryParams,
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)
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from openbb_provider.utils.helpers import get_querystring
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from pydantic import Field, NonNegativeInt, validator
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from pydantic import Field, NonNegativeInt
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class FMPMajorIndicesHistoricalQueryParams(MajorIndicesHistoricalQueryParams):
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@@ -56,14 +56,6 @@ class FMPMajorIndicesHistoricalData(MajorIndicesHistoricalData):
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default=None,
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)
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@validator("date", pre=True, check_fields=False)
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def date_validate(cls, v) -> datetime: # pylint: disable=E0213
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"""Return the date as a datetime object."""
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try:
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return datetime.strptime(v, "%Y-%m-%d %H:%M:%S")
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except Exception:
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return datetime.strptime(v, "%Y-%m-%d")
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class FMPMajorIndicesHistoricalFetcher(
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Fetcher[
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@@ -11,7 +11,7 @@ from openbb_provider.standard_models.stock_historical import (
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StockHistoricalQueryParams,
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)
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from openbb_provider.utils.helpers import get_querystring
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from pydantic import Field, NonNegativeInt, validator
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from pydantic import Field, NonNegativeInt
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class FMPStockHistoricalQueryParams(StockHistoricalQueryParams):
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@@ -49,14 +49,6 @@ class FMPStockHistoricalData(StockHistoricalData):
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description=r"Change % in the price of the symbol over a period of time."
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)
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@validator("date", pre=True, check_fields=False)
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def date_validate(cls, v): # pylint: disable=E0213
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"""Return the date as a datetime object."""
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try:
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return datetime.strptime(v, "%Y-%m-%d %H:%M:%S")
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except ValueError:
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return datetime.strptime(v, "%Y-%m-%d")
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class FMPStockHistoricalFetcher(
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Fetcher[
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@@ -5,11 +5,11 @@ interactions:
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Accept:
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- '*/*'
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Accept-Encoding:
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- gzip, deflate, br
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- gzip, deflate
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Connection:
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- keep-alive
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method: GET
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uri: https://financialmodelingprep.com/api/v3/historical-price-full/crypto/BTCUSD?apikey=MOCK_API_KEY&from=2023-01-01&to=2023-01-10
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uri: https://financialmodelingprep.com/api/v3/historical-price-full/crypto/BTCUSD?apikey=MOCK_API_KEY&from=2023-01-01&interval=1day&to=2023-01-10
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response:
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body:
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string: !!binary |
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@@ -48,7 +48,7 @@ interactions:
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Content-Type:
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- application/json; charset=utf-8
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Date:
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- Tue, 19 Sep 2023 11:13:17 GMT
|
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- Thu, 21 Sep 2023 17:35:22 GMT
|
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ETag:
|
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- W/"eec-rA4PG5qrZArsSp6t/v+2L1hjzQk"
|
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Server:
|
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|
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@@ -5,11 +5,11 @@ interactions:
|
||||
Accept:
|
||||
- '*/*'
|
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Accept-Encoding:
|
||||
- gzip, deflate, br
|
||||
- gzip, deflate
|
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Connection:
|
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- keep-alive
|
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method: GET
|
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uri: https://financialmodelingprep.com/api/v3/historical-price-full/forex/EURUSD?apikey=MOCK_API_KEY&from=2023-01-01&to=2023-01-10
|
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uri: https://financialmodelingprep.com/api/v3/historical-price-full/forex/EURUSD?apikey=MOCK_API_KEY&from=2023-01-01&interval=1day&to=2023-01-10
|
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response:
|
||||
body:
|
||||
string: !!binary |
|
||||
@@ -44,7 +44,7 @@ interactions:
|
||||
Content-Type:
|
||||
- application/json; charset=utf-8
|
||||
Date:
|
||||
- Tue, 19 Sep 2023 11:13:17 GMT
|
||||
- Thu, 21 Sep 2023 17:08:45 GMT
|
||||
ETag:
|
||||
- W/"cd0-Rv/ywzhqPUdb7KJ/ZDpUXIC8K1A"
|
||||
Server:
|
||||
|
||||
@@ -13,7 +13,7 @@ from openbb_provider.standard_models.stock_historical import (
|
||||
)
|
||||
from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from openbb_provider.utils.helpers import get_querystring
|
||||
from pydantic import Field, validator
|
||||
from pydantic import Field
|
||||
|
||||
|
||||
class IntrinioStockHistoricalQueryParams(StockHistoricalQueryParams):
|
||||
@@ -67,24 +67,6 @@ class IntrinioStockHistoricalData(StockHistoricalData):
|
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alias="change",
|
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)
|
||||
|
||||
@validator("time", pre=True, check_fields=False)
|
||||
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)
|
||||
)
|
||||
|
||||
@validator("close_time", pre=True, check_fields=False)
|
||||
def close_time_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)
|
||||
)
|
||||
|
||||
|
||||
class IntrinioStockHistoricalFetcher(
|
||||
Fetcher[
|
||||
|
||||
@@ -5,14 +5,14 @@ from datetime import datetime
|
||||
from typing import Any, Dict, List, Literal, Optional
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_polygon.utils.helpers import get_data
|
||||
from openbb_polygon.utils.helpers import get_data_many
|
||||
from openbb_provider.abstract.fetcher import Fetcher
|
||||
from openbb_provider.standard_models.crypto_historical import (
|
||||
CryptoHistoricalData,
|
||||
CryptoHistoricalQueryParams,
|
||||
)
|
||||
from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from pydantic import Field, PositiveInt, validator
|
||||
from pydantic import Field, PositiveInt
|
||||
|
||||
|
||||
class PolygonCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
|
||||
@@ -21,6 +21,9 @@ class PolygonCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
|
||||
Source: https://polygon.io/docs/crypto/get_v2_aggs_ticker__cryptoticker__range__multiplier___timespan___from___to
|
||||
"""
|
||||
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
timespan: Literal[
|
||||
"minute", "hour", "day", "week", "month", "quarter", "year"
|
||||
] = Field(default="day", description="Timespan of the data.")
|
||||
@@ -31,9 +34,6 @@ class PolygonCryptoHistoricalQueryParams(CryptoHistoricalQueryParams):
|
||||
default=49999, description=QUERY_DESCRIPTIONS.get("limit", "")
|
||||
)
|
||||
adjusted: bool = Field(default=True, description="Whether the data is adjusted.")
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
|
||||
|
||||
class PolygonCryptoHistoricalData(CryptoHistoricalData):
|
||||
@@ -54,10 +54,6 @@ class PolygonCryptoHistoricalData(CryptoHistoricalData):
|
||||
description="Number of transactions for the symbol in the time period."
|
||||
)
|
||||
|
||||
@validator("t", pre=True, check_fields=False)
|
||||
def time_validate(cls, v): # pylint: disable=E0213
|
||||
return datetime.fromtimestamp(v / 1000)
|
||||
|
||||
|
||||
class PolygonCryptoHistoricalFetcher(
|
||||
Fetcher[
|
||||
@@ -94,18 +90,15 @@ class PolygonCryptoHistoricalFetcher(
|
||||
f"{query.start_date}/{query.end_date}?adjusted={query.adjusted}"
|
||||
f"&sort={query.sort}&limit={query.limit}&apiKey={api_key}"
|
||||
)
|
||||
data = get_data_many(request_url, "results", **kwargs)
|
||||
|
||||
data = get_data(request_url, **kwargs)
|
||||
if isinstance(data, list):
|
||||
raise ValueError("Expected a dict, got a list")
|
||||
|
||||
if "results" not in data or len(data["results"]) == 0:
|
||||
raise RuntimeError("No results found. Please change your query parameters.")
|
||||
for d in data:
|
||||
d["t"] = datetime.fromtimestamp(d["t"] / 1000)
|
||||
if query.timespan not in ["minute", "hour"]:
|
||||
d["t"] = d["t"].date()
|
||||
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def transform_data(data: dict) -> List[PolygonCryptoHistoricalData]:
|
||||
return [
|
||||
PolygonCryptoHistoricalData.parse_obj(d) for d in data.get("results", [])
|
||||
]
|
||||
return [PolygonCryptoHistoricalData.parse_obj(d) for d in data]
|
||||
|
||||
@@ -5,14 +5,14 @@ from datetime import datetime
|
||||
from typing import Any, Dict, List, Literal, Optional
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_polygon.utils.helpers import get_data
|
||||
from openbb_polygon.utils.helpers import get_data_many
|
||||
from openbb_provider.abstract.fetcher import Fetcher
|
||||
from openbb_provider.standard_models.forex_historical import (
|
||||
ForexHistoricalData,
|
||||
ForexHistoricalQueryParams,
|
||||
)
|
||||
from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from pydantic import Field, PositiveInt, validator
|
||||
from pydantic import Field, PositiveInt
|
||||
|
||||
|
||||
class PolygonForexHistoricalQueryParams(ForexHistoricalQueryParams):
|
||||
@@ -21,6 +21,9 @@ class PolygonForexHistoricalQueryParams(ForexHistoricalQueryParams):
|
||||
Source: https://polygon.io/docs/forex/get_v2_aggs_ticker__forexticker__range__multiplier___timespan___from___to
|
||||
"""
|
||||
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
timespan: Literal[
|
||||
"minute", "hour", "day", "week", "month", "quarter", "year"
|
||||
] = Field(default="day", description="Timespan of the data.")
|
||||
@@ -31,9 +34,6 @@ class PolygonForexHistoricalQueryParams(ForexHistoricalQueryParams):
|
||||
default=49999, description=QUERY_DESCRIPTIONS.get("limit", "")
|
||||
)
|
||||
adjusted: bool = Field(default=True, description="Whether the data is adjusted.")
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
|
||||
|
||||
class PolygonForexHistoricalData(ForexHistoricalData):
|
||||
@@ -50,14 +50,11 @@ class PolygonForexHistoricalData(ForexHistoricalData):
|
||||
"vwap": "vw",
|
||||
}
|
||||
|
||||
n: PositiveInt = Field(
|
||||
description="Number of transactions for the symbol in the time period."
|
||||
transactions: Optional[PositiveInt] = Field(
|
||||
description="Number of transactions for the symbol in the time period.",
|
||||
alias="n",
|
||||
)
|
||||
|
||||
@validator("t", pre=True, check_fields=False)
|
||||
def time_validate(cls, v): # pylint: disable=E0213
|
||||
return datetime.fromtimestamp(v / 1000)
|
||||
|
||||
|
||||
class PolygonForexHistoricalFetcher(
|
||||
Fetcher[
|
||||
@@ -91,18 +88,15 @@ class PolygonForexHistoricalFetcher(
|
||||
f"{query.start_date}/{query.end_date}?adjusted={query.adjusted}"
|
||||
f"&sort={query.sort}&limit={query.limit}&apiKey={api_key}"
|
||||
)
|
||||
data = get_data_many(request_url, "results", **kwargs)
|
||||
|
||||
data = get_data(request_url, **kwargs)
|
||||
if isinstance(data, list):
|
||||
raise ValueError("Expected a dict, got a list")
|
||||
|
||||
if "results" not in data or len(data["results"]) == 0:
|
||||
raise RuntimeError("No results found. Please change your query parameters.")
|
||||
for d in data:
|
||||
d["t"] = datetime.fromtimestamp(d["t"] / 1000)
|
||||
if query.timespan not in ["minute", "hour"]:
|
||||
d["t"] = d["t"].date()
|
||||
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def transform_data(data: dict) -> List[PolygonForexHistoricalData]:
|
||||
return [
|
||||
PolygonForexHistoricalData.parse_obj(d) for d in data.get("results", [])
|
||||
]
|
||||
return [PolygonForexHistoricalData.parse_obj(d) for d in data]
|
||||
|
||||
@@ -5,14 +5,14 @@ from datetime import datetime
|
||||
from typing import Any, Dict, List, Literal, Optional
|
||||
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from openbb_polygon.utils.helpers import get_data
|
||||
from openbb_polygon.utils.helpers import get_data_many
|
||||
from openbb_provider.abstract.fetcher import Fetcher
|
||||
from openbb_provider.standard_models.major_indices_historical import (
|
||||
MajorIndicesHistoricalData,
|
||||
MajorIndicesHistoricalQueryParams,
|
||||
)
|
||||
from openbb_provider.utils.descriptions import QUERY_DESCRIPTIONS
|
||||
from pydantic import Field, PositiveInt, validator
|
||||
from pydantic import Field, PositiveInt
|
||||
|
||||
|
||||
class PolygonMajorIndicesHistoricalQueryParams(MajorIndicesHistoricalQueryParams):
|
||||
@@ -48,9 +48,10 @@ class PolygonMajorIndicesHistoricalData(MajorIndicesHistoricalData):
|
||||
"close": "c",
|
||||
}
|
||||
|
||||
@validator("t", pre=True, check_fields=False)
|
||||
def time_validate(cls, v): # pylint: disable=E0213
|
||||
return datetime.fromtimestamp(v / 1000)
|
||||
transactions: Optional[PositiveInt] = Field(
|
||||
description="Number of transactions for the symbol in the time period.",
|
||||
alias="n",
|
||||
)
|
||||
|
||||
|
||||
class PolygonMajorIndicesHistoricalFetcher(
|
||||
@@ -87,13 +88,12 @@ class PolygonMajorIndicesHistoricalFetcher(
|
||||
f"{query.start_date}/{query.end_date}?adjusted={query.adjusted}"
|
||||
f"&sort={query.sort}&limit={query.limit}&apiKey={api_key}"
|
||||
)
|
||||
data = get_data_many(request_url, "results", **kwargs)
|
||||
|
||||
data = get_data(request_url, **kwargs)
|
||||
if isinstance(data, list):
|
||||
raise ValueError("Expected a dict, got a list")
|
||||
|
||||
if "results" not in data or len(data["results"]) == 0:
|
||||
raise RuntimeError("No results found. Please change your query parameters.")
|
||||
for d in data:
|
||||
d["t"] = datetime.fromtimestamp(d["t"] / 1000)
|
||||
if query.timespan not in ["minute", "hour"]:
|
||||
d["t"] = d["t"].date()
|
||||
|
||||
return data
|
||||
|
||||
@@ -101,7 +101,4 @@ class PolygonMajorIndicesHistoricalFetcher(
|
||||
def transform_data(
|
||||
data: dict,
|
||||
) -> List[PolygonMajorIndicesHistoricalData]:
|
||||
return [
|
||||
PolygonMajorIndicesHistoricalData.parse_obj(d)
|
||||
for d in data.get("results", [])
|
||||
]
|
||||
return [PolygonMajorIndicesHistoricalData.parse_obj(d) for d in data]
|
||||
|
||||
@@ -23,6 +23,9 @@ class PolygonStockHistoricalQueryParams(StockHistoricalQueryParams):
|
||||
Source: https://polygon.io/docs/stocks/getting-started
|
||||
"""
|
||||
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
timespan: Literal[
|
||||
"minute", "hour", "day", "week", "month", "quarter", "year"
|
||||
] = Field(default="day", description="Timespan of the data.")
|
||||
@@ -36,9 +39,6 @@ class PolygonStockHistoricalQueryParams(StockHistoricalQueryParams):
|
||||
default=True,
|
||||
description="Output time series is adjusted by historical split and dividend events.",
|
||||
)
|
||||
multiplier: PositiveInt = Field(
|
||||
default=1, description="Multiplier of the timespan."
|
||||
)
|
||||
|
||||
|
||||
class PolygonStockHistoricalData(StockHistoricalData):
|
||||
|
||||
@@ -64,11 +64,11 @@ def get_data(url: str, **kwargs: Any) -> Union[list, dict]:
|
||||
if r.status_code != 200:
|
||||
message = data.get("message")
|
||||
error = data.get("error")
|
||||
value = message or error
|
||||
value = error or message
|
||||
|
||||
raise RuntimeError(f"Error in Polygon request -> {value}")
|
||||
|
||||
if len(data) == 0:
|
||||
if "results" not in data or len(data) == 0:
|
||||
raise RuntimeError("No results found. Try adjusting the query parameters.")
|
||||
|
||||
return data
|
||||
|
||||
@@ -50,23 +50,9 @@ class YFinanceCryptoHistoricalFetcher(
|
||||
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
else:
|
||||
try:
|
||||
transformed_params["start_date"] = datetime.strptime(
|
||||
transformed_params["start_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
else:
|
||||
try:
|
||||
transformed_params["end_date"] = datetime.strptime(
|
||||
transformed_params["end_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
return YFinanceCryptoHistoricalQueryParams(**params)
|
||||
|
||||
@@ -96,13 +82,16 @@ class YFinanceCryptoHistoricalFetcher(
|
||||
if query.interval in ["1m", "2m", "5m", "15m", "30m", "60m", "1h", "90m"]
|
||||
else 0
|
||||
)
|
||||
|
||||
if query.start_date:
|
||||
data.set_index("date", inplace=True)
|
||||
data.index = to_datetime(data.index).date
|
||||
data.index = to_datetime(data.index)
|
||||
|
||||
start_date_dt = datetime.combine(query.start_date, datetime.min.time())
|
||||
end_date_dt = datetime.combine(query.end_date, datetime.min.time())
|
||||
|
||||
data = data[
|
||||
(data.index >= query.start_date - timedelta(days=days))
|
||||
& (data.index <= query.end_date)
|
||||
(data.index >= start_date_dt + timedelta(days=days))
|
||||
& (data.index <= end_date_dt)
|
||||
]
|
||||
|
||||
data.reset_index(inplace=True)
|
||||
|
||||
@@ -55,23 +55,9 @@ class YFinanceForexHistoricalFetcher(
|
||||
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
else:
|
||||
try:
|
||||
transformed_params["start_date"] = datetime.strptime(
|
||||
params["start_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
else:
|
||||
try:
|
||||
transformed_params["end_date"] = datetime.strptime(
|
||||
params["end_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
return YFinanceForexHistoricalQueryParams(**transformed_params)
|
||||
|
||||
@@ -92,22 +78,21 @@ class YFinanceForexHistoricalFetcher(
|
||||
actions=False,
|
||||
)
|
||||
|
||||
# query.end_date = (
|
||||
# datetime.now().date() if query.end_date is None else query.end_date
|
||||
# )
|
||||
|
||||
days = (
|
||||
1
|
||||
if query.interval in ["1m", "2m", "5m", "15m", "30m", "60m", "1h", "90m"]
|
||||
else 0
|
||||
)
|
||||
|
||||
if query.start_date:
|
||||
data.set_index("date", inplace=True)
|
||||
data.index = to_datetime(data.index).date
|
||||
data.index = to_datetime(data.index)
|
||||
|
||||
start_date_dt = datetime.combine(query.start_date, datetime.min.time())
|
||||
end_date_dt = datetime.combine(query.end_date, datetime.min.time())
|
||||
|
||||
data = data[
|
||||
(data.index >= query.start_date - timedelta(days=days))
|
||||
& (data.index <= query.end_date)
|
||||
(data.index >= start_date_dt + timedelta(days=days))
|
||||
& (data.index <= end_date_dt)
|
||||
]
|
||||
|
||||
data.reset_index(inplace=True)
|
||||
|
||||
@@ -55,23 +55,9 @@ class YFinanceMajorIndicesHistoricalFetcher(
|
||||
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
else:
|
||||
try:
|
||||
transformed_params["start_date"] = datetime.strptime(
|
||||
transformed_params["start_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
else:
|
||||
try:
|
||||
transformed_params["end_date"] = datetime.strptime(
|
||||
transformed_params["end_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
return YFinanceMajorIndicesHistoricalQueryParams(**params)
|
||||
|
||||
@@ -113,10 +99,14 @@ class YFinanceMajorIndicesHistoricalFetcher(
|
||||
|
||||
if query.start_date:
|
||||
data.set_index("date", inplace=True)
|
||||
data.index = to_datetime(data.index).date
|
||||
data.index = to_datetime(data.index)
|
||||
|
||||
start_date_dt = datetime.combine(query.start_date, datetime.min.time())
|
||||
end_date_dt = datetime.combine(query.end_date, datetime.min.time())
|
||||
|
||||
data = data[
|
||||
(data.index >= query.start_date - timedelta(days=days))
|
||||
& (data.index <= query.end_date)
|
||||
(data.index >= start_date_dt + timedelta(days=days))
|
||||
& (data.index <= end_date_dt)
|
||||
]
|
||||
|
||||
data.reset_index(inplace=True)
|
||||
|
||||
@@ -80,23 +80,9 @@ class YFinanceStockHistoricalFetcher(
|
||||
|
||||
if params.get("start_date") is None:
|
||||
transformed_params["start_date"] = now - relativedelta(years=1)
|
||||
else:
|
||||
try:
|
||||
transformed_params["start_date"] = datetime.strptime(
|
||||
transformed_params["start_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
if params.get("end_date") is None:
|
||||
transformed_params["end_date"] = now
|
||||
else:
|
||||
try:
|
||||
transformed_params["end_date"] = datetime.strptime(
|
||||
transformed_params["end_date"], "%Y-%m-%d"
|
||||
).date()
|
||||
except TypeError:
|
||||
pass
|
||||
|
||||
return YFinanceStockHistoricalQueryParams(**params)
|
||||
|
||||
@@ -125,12 +111,14 @@ class YFinanceStockHistoricalFetcher(
|
||||
group_by=query.group_by,
|
||||
)
|
||||
|
||||
query.end_date = (
|
||||
datetime.now().date() if query.end_date is None else query.end_date
|
||||
)
|
||||
days = (
|
||||
1
|
||||
if query.interval in ["1m", "2m", "5m", "15m", "30m", "60m", "1h", "90m"]
|
||||
else 0
|
||||
)
|
||||
|
||||
if query.start_date:
|
||||
data.set_index("date", inplace=True)
|
||||
data.index = to_datetime(data.index)
|
||||
@@ -139,7 +127,7 @@ class YFinanceStockHistoricalFetcher(
|
||||
end_date_dt = datetime.combine(query.end_date, datetime.min.time())
|
||||
|
||||
data = data[
|
||||
(data.index >= start_date_dt - timedelta(days=days))
|
||||
(data.index >= start_date_dt + timedelta(days=days))
|
||||
& (data.index <= end_date_dt)
|
||||
]
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ interactions:
|
||||
uri: https://query2.finance.yahoo.com/v8/finance/chart/ES=F?interval=1d&range=1d
|
||||
response:
|
||||
body:
|
||||
string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"ES=F","exchangeName":"CME","instrumentType":"FUTURE","firstTradeDate":969249600,"regularMarketTime":1695154507,"gmtoffset":-14400,"timezone":"EDT","exchangeTimezoneName":"America/New_York","regularMarketPrice":4492.0,"chartPreviousClose":4501.5,"priceHint":2,"currentTradingPeriod":{"pre":{"timezone":"EDT","start":1695096000,"end":1695096000,"gmtoffset":-14400},"regular":{"timezone":"EDT","start":1695096000,"end":1695182340,"gmtoffset":-14400},"post":{"timezone":"EDT","start":1695182340,"end":1695182340,"gmtoffset":-14400}},"dataGranularity":"1d","range":"1d","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"]},"timestamp":[1695154507],"indicators":{"quote":[{"volume":[1362345],"low":[4462.25],"open":[4503.25],"high":[4509.5],"close":[4492.0]}],"adjclose":[{"adjclose":[4492.0]}]}}],"error":null}}'
|
||||
string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"ES=F","exchangeName":"CME","instrumentType":"FUTURE","firstTradeDate":969249600,"regularMarketTime":1695311200,"gmtoffset":-14400,"timezone":"EDT","exchangeTimezoneName":"America/New_York","regularMarketPrice":4401.5,"chartPreviousClose":4447.0,"priceHint":2,"currentTradingPeriod":{"pre":{"timezone":"EDT","start":1695268800,"end":1695268800,"gmtoffset":-14400},"regular":{"timezone":"EDT","start":1695268800,"end":1695355140,"gmtoffset":-14400},"post":{"timezone":"EDT","start":1695355140,"end":1695355140,"gmtoffset":-14400}},"dataGranularity":"1d","range":"1d","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"]},"timestamp":[1695311200],"indicators":{"quote":[{"low":[4395.0],"close":[4401.5],"volume":[993779],"open":[4445.0],"high":[4447.0]}],"adjclose":[{"adjclose":[4401.5]}]}}],"error":null}}'
|
||||
headers:
|
||||
Age:
|
||||
- '1'
|
||||
@@ -33,11 +33,11 @@ interactions:
|
||||
cache-control:
|
||||
- public, max-age=10, stale-while-revalidate=20
|
||||
content-length:
|
||||
- '887'
|
||||
- '884'
|
||||
content-type:
|
||||
- application/json;charset=utf-8
|
||||
date:
|
||||
- Tue, 19 Sep 2023 20:25:10 GMT
|
||||
- Thu, 21 Sep 2023 15:56:39 GMT
|
||||
server:
|
||||
- ATS
|
||||
vary:
|
||||
@@ -47,11 +47,11 @@ interactions:
|
||||
x-envoy-upstream-service-time:
|
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n+p568vLXIdFc/6A3nCn46nltk7SnbH3s+NNzg01uxrZVzBOzpVN975C9ll3dOUOD/L7OkVEZGAK
|
||||
If6gJ8+8WYsejmYpTg1f+oMaWgrPgIzPSMaJz/V79/7EX3eHQuB03QJOK05Wfj7kdncy/QSHVg/K
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||||
GF5H57U83s3twDg/P7z7/F6uzcQEwwY3L2PGyAMhF5hWowe7gEOVTLj00KdcTG4clXeJeBmJt2Yv
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||||
EHOnwC+8tEofij6tyCWjNnktmD+BtlBk5JTWFLzZk9mnlcybYpdWwRC2VHhKaemhrstgkGSs0rmO
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||||
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||||
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||||
g3yhZ0BLhHmlVCG+5yaXCC+8/isU9oaUjT9NqIXcAEOfdd2vZ2gC54KhBLkyxivIKa51zSakJvBQ
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||||
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||||
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|
||||
SNeao0K1x1pGEuprBufr4kIsfU8m9w/xS2vSAvMR3kF/a1wKBAq7DNiX5KiZQQYMvaxlYLxcl0Yu
|
||||
Za1QpRo2GfKtBTiRtNQehrYkh8WL4HktuQjzaOKj7N9E8nKldi0aJi90IBORFhCW5lb/JowBrVm+
|
||||
gQCFBkOWXGCIcS9amFYjuCA0ZviBpfZBrndzQVkcA/rINWxoRV5LhBEsi8hAnGMpDKSyVo+sSB54
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||||
/1wWPfcdW3iOZSMt9HXjtcRc0hI9DHNxsS71IMvEVEcQQjhOhWSp7YitfQuzq8TW5x4KZBCXcoJh
|
||||
axywhUzM8KKiVJmBRTgV4PFECOSPcCrSU3HxiJC9Ca19LMVtvAwrYi28Nix8gXIKNzO/GLAellei
|
||||
wxCxwFluacS4rtKDiXGRmML6pEFFMrl8aaHnlZHLtgReO+9LPEEY1AKvqC8mzqXAYN2atCbBDfTA
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||||
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|
||||
6V3NX1//g/WySl8wuPgxR5FCG1iKUN3XtfohVTXSCT8UJbZKUS3w3u1OUvDPOunEC8xwJTe8yElV
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||||
j1TArMcFoGr8JEEeu8gGDFkQYxu933NlbJfkEEwb+LNThX1uoOVKFknvXYCTb3fkEBcQ2YepC9IC
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||||
ODV4JTkTABAV+R0CuDSWE5PUumaSr1ZUCczSAm4ipsEHarkEKSi6QKFXGTKt24JgPUQJBURWvg5W
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||||
55nq6zoP4ARLfpHC3Aet+UED6FyBlq6aFRk0kYTAfrmEdSKAKvqyYF46HPCVWERaoqi8MZLonxZj
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||||
9wZ14V18fqxBt+iRZQcw4GUvGBxADIFBxgn/uY8EgG055vi6jsYb5bB12ufaxgZuxRCtJl7/XhWV
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||||
fOXo8FFYjrCO299ZvqiBAFWbbtz38vr0BjJH2ihPozRtwVrKyhflHTlbisg2M4P6WLUwuHZ+NGdq
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||||
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||||
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||||
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||||
ExYVKaoN9/cBbHCpKQ27goZYy6R8mx1rS/x+wHzmAm8RxkZPxVi13uO2BZPS0ecQHW+wOnSHY85q
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||||
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|
||||
MUfTo9/wawPmOZdNrRoVMER60UweNMBSX2smTyggKX7tU7iN33kXH/H/ucCH2V+KeyfL71ckgxVu
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||||
Hxq7a5i8GNhBLywGqUKWlpioYAgrazekyUU1KHyp6z2hcfLzL6+0Qq6bIl1KCNZZLIPb9ZPjIL0Z
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||||
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||||
Sd9b0IoRDv9I6olZZEt4EVN2snMdC2CmDTtDTNuwltscsPO8FG7X9BBeEzN5CEt3EJE1LCj9fPco
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||||
Tn7vZQtho3PGZXjNvs2HTVCcHneAXHtfoxCtleUO15lCgKxnX7duejK4JsR4EKCbkdB2fppJQ8Qq
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||||
NaRXkYXHFRM8fXrWAw4NxZf0Oz+Xt2A58JNbC1dTIIpAwtmYAa56WuACkQxsvRuVpgGv9Cwr4Hwk
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||||
2BDnoegGfhOhlKanFKCY+DmnuF0WjykUWvl8fQYbQZrSgrd8rqZhbWDtaM+1AO4NMC9NSWoi627o
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||||
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||||
d15rhXUMiVH74C90h/ka84C+6mZIEvmlId2ZZJ2OnwuqSa2M40IPEWifFUUufz6Hv315k09wlisC
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||||
rR3/kfmhGIbzqMe9kfPy+0Jq+jxvMaJ8JSS9FNqY87a2Pr62K2yVid3LvVAKFmb9nMaxLAfS0ot3
|
||||
noisrc7nKD7h9QYxwKjp5bR05qdrGuYKz5NjzpdIuqqbkyWesLzFPhzTGbAgnD0bj0AHpvEMi2Hb
|
||||
CdAd5toRZBXg4IW3VJdV2t2Kv10Q/dsF0edzBl+++0JUdPf4+PB489WHz+/effnyv5r+x98ZUgAA
|
||||
headers:
|
||||
Age:
|
||||
- '0'
|
||||
@@ -194,21 +200,21 @@ interactions:
|
||||
content-type:
|
||||
- application/json;charset=utf-8
|
||||
date:
|
||||
- Tue, 19 Sep 2023 20:25:10 GMT
|
||||
- Thu, 21 Sep 2023 15:54:06 GMT
|
||||
server:
|
||||
- ATS
|
||||
vary:
|
||||
- Origin,Accept-Encoding
|
||||
x-envoy-decorator-operation:
|
||||
- finance-chart-api--mtls-production-sg3.finance-k8s.svc.yahoo.local:4080/*
|
||||
- finance-chart-api--mtls-baseline-production-sg3.finance-k8s.svc.yahoo.local:4080/*
|
||||
x-envoy-upstream-service-time:
|
||||
- '39'
|
||||
- '40'
|
||||
x-request-id:
|
||||
- 6a0d0767-0772-4292-91e5-11ba0afb8d9f
|
||||
- af4778c0-800f-4a0e-969d-1ad6abcd7fbd
|
||||
x-yahoo-request-id:
|
||||
- 7mc4bm5igk0t6
|
||||
- 44k8ok5igopou
|
||||
y-rid:
|
||||
- 7mc4bm5igk0t6
|
||||
- 44k8ok5igopou
|
||||
status:
|
||||
code: 200
|
||||
message: OK
|
||||
|
||||
@@ -71,7 +71,11 @@ def test_y_finance_major_indices_historical_fetcher(credentials=test_credentials
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_y_finance_stock_historical_fetcher(credentials=test_credentials):
|
||||
params = {"symbol": "AAPL", "start_date": "2023-01-15", "end_date": "2023-01-25"}
|
||||
params = {
|
||||
"symbol": "AAPL",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 1, 10),
|
||||
}
|
||||
|
||||
fetcher = YFinanceStockHistoricalFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
@@ -80,7 +84,11 @@ def test_y_finance_stock_historical_fetcher(credentials=test_credentials):
|
||||
|
||||
@pytest.mark.record_http
|
||||
def test_y_finance_futures_historical_fetcher(credentials=test_credentials):
|
||||
params = {"symbol": "ES", "start_date": date(2023, 1, 1), "end_date": "2023-05-10"}
|
||||
params = {
|
||||
"symbol": "ES",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 1, 10),
|
||||
}
|
||||
|
||||
fetcher = YFinanceFuturesHistoricalFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
@@ -90,7 +98,11 @@ def test_y_finance_futures_historical_fetcher(credentials=test_credentials):
|
||||
@pytest.mark.record_http
|
||||
@pytest.mark.skip(reason="Blows up on download errors for specific dates.")
|
||||
def test_y_finance_futures_curve_fetcher(credentials=test_credentials):
|
||||
params = {"symbol": "ES", "start_date": date(2023, 1, 1), "end_date": "2023-05-10"}
|
||||
params = {
|
||||
"symbol": "ES",
|
||||
"start_date": date(2023, 1, 1),
|
||||
"end_date": date(2023, 1, 10),
|
||||
}
|
||||
|
||||
fetcher = YFinanceFuturesCurveFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
|
||||
@@ -7,7 +7,8 @@ from datetime import (
|
||||
)
|
||||
from typing import List, Optional, Set, Union
|
||||
|
||||
from pydantic import Field, PositiveFloat, validator
|
||||
from dateutil import parser
|
||||
from pydantic import Field, NonNegativeFloat, PositiveFloat, validator
|
||||
|
||||
from openbb_provider.abstract.data import Data
|
||||
from openbb_provider.abstract.query_params import QueryParams
|
||||
@@ -38,12 +39,15 @@ class CryptoHistoricalQueryParams(QueryParams):
|
||||
class CryptoHistoricalData(Data):
|
||||
"""Crypto end of day price Data."""
|
||||
|
||||
date: Union[dateType, datetime] = Field(
|
||||
description=DATA_DESCRIPTIONS.get("date", "")
|
||||
)
|
||||
date: datetime = Field(description=DATA_DESCRIPTIONS.get("date", ""))
|
||||
open: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("open", ""))
|
||||
high: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("high", ""))
|
||||
low: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("low", ""))
|
||||
close: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("close", ""))
|
||||
volume: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("volume", ""))
|
||||
volume: NonNegativeFloat = Field(description=DATA_DESCRIPTIONS.get("volume", ""))
|
||||
vwap: Optional[PositiveFloat] = Field(description=DATA_DESCRIPTIONS.get("vwap", ""))
|
||||
|
||||
@validator("date", pre=True, check_fields=False)
|
||||
def date_validate(cls, v): # pylint: disable=E0213
|
||||
"""Return formatted datetime."""
|
||||
return parser.isoparse(str(v))
|
||||
|
||||
@@ -7,6 +7,7 @@ from datetime import (
|
||||
)
|
||||
from typing import List, Optional, Set, Union
|
||||
|
||||
from dateutil import parser
|
||||
from pydantic import Field, NonNegativeFloat, PositiveFloat, validator
|
||||
|
||||
from openbb_provider.abstract.data import Data
|
||||
@@ -38,12 +39,15 @@ class ForexHistoricalQueryParams(QueryParams):
|
||||
class ForexHistoricalData(Data):
|
||||
"""Forex end of day price Data."""
|
||||
|
||||
date: Union[dateType, datetime] = Field(
|
||||
description=DATA_DESCRIPTIONS.get("date", "")
|
||||
)
|
||||
date: datetime = Field(description=DATA_DESCRIPTIONS.get("date", ""))
|
||||
open: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("open", ""))
|
||||
high: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("high", ""))
|
||||
low: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("low", ""))
|
||||
close: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("close", ""))
|
||||
volume: NonNegativeFloat = Field(description=DATA_DESCRIPTIONS.get("volume", ""))
|
||||
vwap: Optional[PositiveFloat] = Field(description=DATA_DESCRIPTIONS.get("vwap", ""))
|
||||
|
||||
@validator("date", pre=True, check_fields=False)
|
||||
def date_validate(cls, v): # pylint: disable=E0213
|
||||
"""Return formatted datetime."""
|
||||
return parser.isoparse(str(v))
|
||||
|
||||
@@ -7,6 +7,7 @@ from datetime import (
|
||||
)
|
||||
from typing import List, Optional, Set, Union
|
||||
|
||||
from dateutil import parser
|
||||
from pydantic import Field, NonNegativeInt, PositiveFloat, validator
|
||||
|
||||
from openbb_provider.abstract.data import Data
|
||||
@@ -36,9 +37,7 @@ class MajorIndicesHistoricalQueryParams(QueryParams):
|
||||
class MajorIndicesHistoricalData(Data):
|
||||
"""Major Indices end of day price data."""
|
||||
|
||||
date: Union[dateType, datetime] = Field(
|
||||
description=DATA_DESCRIPTIONS.get("date", "")
|
||||
)
|
||||
date: datetime = Field(description=DATA_DESCRIPTIONS.get("date", ""))
|
||||
open: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("open", ""))
|
||||
high: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("high", ""))
|
||||
low: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("low", ""))
|
||||
@@ -46,3 +45,8 @@ class MajorIndicesHistoricalData(Data):
|
||||
volume: Optional[NonNegativeInt] = Field(
|
||||
description=DATA_DESCRIPTIONS.get("volume", "")
|
||||
)
|
||||
|
||||
@validator("date", pre=True, check_fields=False)
|
||||
def date_validate(cls, v): # pylint: disable=E0213
|
||||
"""Return formatted datetime."""
|
||||
return parser.isoparse(str(v))
|
||||
|
||||
Reference in New Issue
Block a user