mirror of
https://github.com/OpenBB-finance/OpenBB.git
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remove seeking alpha provider (#7570)
This commit is contained in:
Danglewood
@@ -1,13 +0,0 @@
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# OpenBB Seeking Alpha Provider
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This extension integrates the [Seeking Alpha](https://seekingalpha.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-seeking-alpha
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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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"""Init file for Provider."""
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@@ -1,23 +0,0 @@
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"""Seeking Alpha Provider module."""
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from openbb_core.provider.abstract.provider import Provider
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from openbb_seeking_alpha.models.calendar_earnings import SACalendarEarningsFetcher
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from openbb_seeking_alpha.models.forward_eps_estimates import (
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SAForwardEpsEstimatesFetcher,
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)
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from openbb_seeking_alpha.models.forward_sales_estimates import (
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SAForwardSalesEstimatesFetcher,
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)
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seeking_alpha_provider = Provider(
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name="seeking_alpha",
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website="https://seekingalpha.com",
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description="""Seeking Alpha is a data provider with access to news, analysis, and
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real-time alerts on stocks.""",
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fetcher_dict={
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"CalendarEarnings": SACalendarEarningsFetcher,
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"ForwardEpsEstimates": SAForwardEpsEstimatesFetcher,
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"ForwardSalesEstimates": SAForwardSalesEstimatesFetcher,
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},
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repr_name="Seeking Alpha",
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)
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@@ -1 +0,0 @@
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"""Init file for models."""
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@@ -1,176 +0,0 @@
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"""Seeking Alpha Calendar Earnings Model."""
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# pylint: disable=unused-argument
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import asyncio
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import json
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from datetime import datetime, timedelta
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from typing import Any, Literal
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from warnings import warn
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from openbb_core.app.model.abstract.error import OpenBBError
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from openbb_core.provider.abstract.fetcher import Fetcher
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from openbb_core.provider.standard_models.calendar_earnings import (
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CalendarEarningsData,
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CalendarEarningsQueryParams,
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)
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from openbb_core.provider.utils.country_utils import Country
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from openbb_seeking_alpha.utils.helpers import HEADERS, date_range
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from pydantic import Field, field_validator
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SA_COUNTRIES = {"us", "ca"}
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class SACalendarEarningsQueryParams(CalendarEarningsQueryParams):
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"""Seeking Alpha Calendar Earnings Query.
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Source: https://seekingalpha.com/earnings/earnings-calendar
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"""
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country: Literal["us", "ca"] = Field(
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default="us",
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description="The country to get calendar data for. "
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"Accepts 'us'/'ca', ISO codes ('US', 'USA', 'CA', 'CAN'), "
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"or names ('United States', 'Canada').",
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json_schema_extra={"choices": ["us", "ca"]},
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)
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@field_validator("country", mode="before")
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@classmethod
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def _validate_country(cls, v):
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"""Normalize country input to Seeking Alpha format."""
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if v in SA_COUNTRIES:
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return v
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try:
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country = Country(v)
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code = country.alpha_2.lower()
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if code in SA_COUNTRIES:
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return code
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except ValueError:
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pass
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raise ValueError(
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f"Country '{v}' not supported. Seeking Alpha only supports US and Canada."
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)
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class SACalendarEarningsData(CalendarEarningsData):
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"""Seeking Alpha Calendar Earnings Data."""
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market_cap: float | None = Field(
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default=None,
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description="Market cap of the entity.",
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)
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reporting_time: str | None = Field(
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default=None,
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description="The reporting time - e.g. after market close.",
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)
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exchange: str | None = Field(
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default=None,
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description="The primary trading exchange.",
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)
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sector_id: int | None = Field(
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default=None,
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description="The Seeking Alpha Sector ID.",
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)
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@field_validator("report_date", mode="before", check_fields=False)
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@classmethod
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def validate_release_date(cls, v):
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"""Validate the release date."""
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v = v.split("T")[0]
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return datetime.strptime(v, "%Y-%m-%d").date()
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class SACalendarEarningsFetcher(
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Fetcher[
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SACalendarEarningsQueryParams,
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list[SACalendarEarningsData],
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]
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):
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"""Seeking Alpha Calendar Earnings Fetcher."""
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@staticmethod
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def transform_query(params: dict[str, Any]) -> SACalendarEarningsQueryParams:
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"""Transform the query."""
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now = datetime.today().date()
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transformed_params = params
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if not params.get("start_date"):
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transformed_params["start_date"] = now
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if not params.get("end_date"):
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transformed_params["end_date"] = now + timedelta(days=3)
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return SACalendarEarningsQueryParams(**transformed_params)
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@staticmethod
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async def aextract_data(
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query: SACalendarEarningsQueryParams,
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credentials: dict[str, str] | None,
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**kwargs: Any,
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) -> list[dict]:
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"""Return the raw data from the Seeking Alpha endpoint."""
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# pylint: disable=import-outside-toplevel
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from openbb_core.provider.utils.client import ClientSession
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from openbb_core.provider.utils.helpers import amake_request
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results: list[dict] = []
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dates = [
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date.strftime("%Y-%m-%d")
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for date in date_range(query.start_date, query.end_date)
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]
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currency = "USD" if query.country == "us" else "CAD"
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messages: list = []
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async with ClientSession() as session:
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async def get_date(date, currency):
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"""Get date for one date."""
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url = (
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f"https://seekingalpha.com/api/v3/earnings_calendar/tickers?"
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f"filter%5Bselected_date%5D={date}"
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f"&filter%5Bwith_rating%5D=false&filter%5Bcurrency%5D={currency}"
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)
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response = await amake_request(
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url=url, headers=HEADERS, session=session
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)
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# Try again if the response is blocked.
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if "blockScript" in response:
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response = await amake_request(
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url=url, headers=HEADERS, session=session
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)
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if "blockScript" in response:
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message = json.dumps(response)
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messages.append(message)
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warn(message)
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if "data" in response:
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results.extend(response.get("data")) # type: ignore
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await asyncio.gather(*[get_date(date, currency) for date in dates])
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if not results:
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raise OpenBBError(f"Error with the Seeking Alpha request -> {messages}")
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return results
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@staticmethod
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def transform_data(
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query: SACalendarEarningsQueryParams,
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data: list[dict],
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**kwargs: Any,
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) -> list[SACalendarEarningsData]:
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"""Transform the data to the standard format."""
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transformed_data: list[SACalendarEarningsData] = []
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for row in sorted(data, key=lambda x: x["attributes"]["release_date"]):
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attributes = row.get("attributes", {})
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transformed_data.append(
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SACalendarEarningsData.model_validate(
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{
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"report_date": attributes.get("release_date"),
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"reporting_time": attributes.get("release_time"),
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"symbol": attributes.get("slug"),
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"name": attributes.get("name"),
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"market_cap": attributes.get("marketcap"),
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"exchange": attributes.get("exchange"),
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"sector_id": attributes.get("sector_id"),
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}
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)
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)
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return transformed_data
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@@ -1,226 +0,0 @@
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"""Seeking Alpha Forward EPS Estimates 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.app.model.abstract.error import OpenBBError
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from openbb_core.provider.abstract.fetcher import Fetcher
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from openbb_core.provider.standard_models.forward_eps_estimates import (
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ForwardEpsEstimatesData,
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ForwardEpsEstimatesQueryParams,
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)
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from openbb_core.provider.utils.helpers import amake_request
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from openbb_seeking_alpha.utils.helpers import HEADERS, get_seekingalpha_id
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from pydantic import Field, field_validator
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class SAForwardEpsEstimatesQueryParams(ForwardEpsEstimatesQueryParams):
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"""Seeking Alpha Forward EPS Estimates Query.
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Source: https://seekingalpha.com/earnings/earnings-calendar
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"""
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__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
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period: Literal["annual", "quarter"] = Field(
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default="quarter",
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description="The reporting period.",
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json_schema_extra={"choices": ["annual", "quarter"]},
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)
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@field_validator("symbol", mode="before", check_fields=False)
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@classmethod
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def check_symbol(cls, value):
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"""Check the symbol."""
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if not value:
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raise OpenBBError("Symbol is a required field for Seeking Alpha.")
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return value
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class SAForwardEpsEstimatesData(ForwardEpsEstimatesData):
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"""Seeking Alpha Forward EPS Estimates Data."""
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normalized_actual: float | None = Field(
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default=None,
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description="Actual normalized EPS.",
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)
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period_growth: float | None = Field(
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default=None,
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description="Estimated (or actual if reported) EPS growth for the period.",
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json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
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)
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low_estimate_gaap: float | None = Field(
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default=None,
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description="Estimated GAAP EPS low for the period.",
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)
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high_estimate_gaap: float | None = Field(
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default=None,
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description="Estimated GAAP EPS high for the period.",
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)
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mean_gaap: float | None = Field(
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default=None,
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description="Estimated GAAP EPS mean for the period.",
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)
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gaap_actual: float | None = Field(
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default=None,
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description="Actual GAAP EPS.",
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)
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class SAForwardEpsEstimatesFetcher(
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Fetcher[
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SAForwardEpsEstimatesQueryParams,
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list[SAForwardEpsEstimatesData],
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]
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):
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"""Seeking Alpha Forward EPS Estimates Fetcher."""
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@staticmethod
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def transform_query(params: dict[str, Any]) -> SAForwardEpsEstimatesQueryParams:
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"""Transform the query."""
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return SAForwardEpsEstimatesQueryParams(**params)
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@staticmethod
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async def aextract_data(
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query: SAForwardEpsEstimatesQueryParams,
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credentials: dict[str, str] | None,
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**kwargs: Any,
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) -> dict:
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"""Return the raw data from the Seeking Alpha endpoint."""
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# pylint: disable=import-outside-toplevel
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from openbb_core.provider.utils.client import ClientSession
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tickers = query.symbol.split(",") # type: ignore
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fp = query.period if query.period == "annual" else "quarterly"
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url = "https://seekingalpha.com/api/v3/symbol_data/estimates"
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querystring: dict = {
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"estimates_data_items": "eps_normalized_actual,eps_normalized_consensus_low,eps_normalized_consensus_mean,"
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"eps_normalized_consensus_high,eps_normalized_num_of_estimates,"
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"eps_gaap_actual,eps_gaap_consensus_low,eps_gaap_consensus_mean,eps_gaap_consensus_high,",
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"period_type": fp,
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"relative_periods": "-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11",
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}
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async with ClientSession(trust_env=True) as session:
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kwargs = {"session": session}
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ids = {
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ticker: await get_seekingalpha_id(ticker, **kwargs)
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for ticker in tickers
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}
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querystring["ticker_ids"] = ("%2C").join(list(ids.values()))
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response = await amake_request(
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url, headers=HEADERS, params=querystring, session=session
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)
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estimates: dict = response.get("estimates", {}) # type: ignore
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if not estimates:
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raise OpenBBError(f"No estimates data was returned for: {query.symbol}")
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output: dict = {"ids": ids, "estimates": estimates}
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return output
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@staticmethod
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def transform_data(
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query: SAForwardEpsEstimatesQueryParams,
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data: dict,
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**kwargs: Any,
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) -> list[SAForwardEpsEstimatesData]:
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"""Transform the data to the standard format."""
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tickers = query.symbol.split(",") # type: ignore
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ids = data.get("ids", {})
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estimates = data.get("estimates", {})
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results: list[SAForwardEpsEstimatesData] = []
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for ticker in tickers:
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sa_id = str(ids.get(ticker, ""))
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if sa_id == "" or sa_id not in estimates:
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warn(f"Symbol Error: No data found for, {ticker}")
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continue
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seek_object = estimates.get(sa_id, {})
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if not seek_object:
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warn(f"No data found for {ticker}")
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continue
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items = len(seek_object.get("eps_normalized_num_of_estimates"))
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if not items:
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warn(f"No data found for {ticker}")
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continue
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for i in range(0, items - 4):
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eps_estimates: dict = {}
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eps_estimates["symbol"] = ticker
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num_estimates = seek_object["eps_normalized_num_of_estimates"].get(
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str(i)
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)
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if not num_estimates:
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continue
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period = num_estimates[0].get("period", {})
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if period:
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period_type = period.get("periodtypeid")
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eps_estimates["calendar_year"] = period.get("calendaryear")
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eps_estimates["calendar_period"] = (
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"Q" + str(period.get("calendarquarter", ""))
|
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if period_type == "quarterly"
|
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else "FY"
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)
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eps_estimates["date"] = period.get("periodenddate").split("T")[0]
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eps_estimates["fiscal_year"] = period.get("fiscalyear")
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eps_estimates["fiscal_period"] = (
|
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"Q" + str(period.get("fiscalquarter", ""))
|
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if period_type == "quarterly"
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else "FY"
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)
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eps_estimates["number_of_analysts"] = num_estimates[0].get(
|
||||
"dataitemvalue"
|
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)
|
||||
actual = seek_object["eps_normalized_actual"].get(str(i))
|
||||
if actual:
|
||||
eps_estimates["normalized_actual"] = actual[0].get("dataitemvalue")
|
||||
gaap_actual = seek_object["eps_gaap_actual"].get(str(i))
|
||||
if gaap_actual:
|
||||
eps_estimates["gaap_actual"] = gaap_actual[0].get("dataitemvalue")
|
||||
low = seek_object["eps_normalized_consensus_low"].get(str(i))
|
||||
if low:
|
||||
eps_estimates["low_estimate"] = low[0].get("dataitemvalue")
|
||||
gaap_low = seek_object["eps_gaap_consensus_low"].get(str(i))
|
||||
if gaap_low:
|
||||
eps_estimates["low_estimate_gaap"] = gaap_low[0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
high = seek_object["eps_normalized_consensus_high"].get(str(i))
|
||||
if high:
|
||||
eps_estimates["high_estimate"] = high[0].get("dataitemvalue")
|
||||
gaap_high = seek_object["eps_gaap_consensus_high"].get(str(i))
|
||||
if gaap_high:
|
||||
eps_estimates["high_estimate_gaap"] = gaap_high[0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
mean = seek_object["eps_normalized_consensus_mean"].get(str(i))
|
||||
if mean:
|
||||
mean = mean[0].get("dataitemvalue")
|
||||
eps_estimates["mean"] = mean
|
||||
gaap_mean = seek_object["eps_gaap_consensus_mean"].get(str(i))
|
||||
if gaap_mean:
|
||||
eps_estimates["mean_gaap"] = gaap_mean[0].get("dataitemvalue")
|
||||
# Calculate the estimated growth percent.
|
||||
this = float(mean) if mean else None
|
||||
prev = None
|
||||
percent = None
|
||||
try:
|
||||
prev = float(
|
||||
seek_object["eps_normalized_actual"][str(i - 1)][0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
)
|
||||
except KeyError:
|
||||
prev = float(
|
||||
seek_object["eps_normalized_consensus_mean"][str(i - 1)][0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
)
|
||||
if this and prev:
|
||||
percent = (this - prev) / prev
|
||||
eps_estimates["period_growth"] = percent
|
||||
results.append(SAForwardEpsEstimatesData.model_validate(eps_estimates))
|
||||
|
||||
return results
|
||||
@@ -1,195 +0,0 @@
|
||||
"""Seeking Alpha Forward Sales Estimates 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.forward_sales_estimates import (
|
||||
ForwardSalesEstimatesData,
|
||||
ForwardSalesEstimatesQueryParams,
|
||||
)
|
||||
from openbb_core.provider.utils.helpers import amake_request
|
||||
from openbb_seeking_alpha.utils.helpers import HEADERS, get_seekingalpha_id
|
||||
from pydantic import Field, field_validator
|
||||
|
||||
|
||||
class SAForwardSalesEstimatesQueryParams(ForwardSalesEstimatesQueryParams):
|
||||
"""Seeking Alpha Forward Sales Estimates Query.
|
||||
|
||||
Source: https://seekingalpha.com/earnings/earnings-calendar
|
||||
"""
|
||||
|
||||
__json_schema_extra__ = {"symbol": {"multiple_items_allowed": True}}
|
||||
|
||||
period: Literal["annual", "quarter"] = Field(
|
||||
default="quarter",
|
||||
description="The reporting period.",
|
||||
json_schema_extra={"choices": ["annual", "quarter"]},
|
||||
)
|
||||
|
||||
@field_validator("symbol", mode="before", check_fields=False)
|
||||
@classmethod
|
||||
def check_symbol(cls, value):
|
||||
"""Check the symbol."""
|
||||
if not value:
|
||||
raise OpenBBError("Symbol is a required field for Seeking Alpha.")
|
||||
return value
|
||||
|
||||
|
||||
class SAForwardSalesEstimatesData(ForwardSalesEstimatesData):
|
||||
"""Seeking Alpha Forward Sales Estimates Data."""
|
||||
|
||||
actual: int | None = Field(
|
||||
default=None,
|
||||
description="Actual sales (revenue) for the period.",
|
||||
)
|
||||
period_growth: float | None = Field(
|
||||
default=None,
|
||||
description="Estimated (or actual if reported) EPS growth for the period.",
|
||||
json_schema_extra={"x-unit_measurement": "percent", "x-frontend_multiply": 100},
|
||||
)
|
||||
|
||||
|
||||
class SAForwardSalesEstimatesFetcher(
|
||||
Fetcher[
|
||||
SAForwardSalesEstimatesQueryParams,
|
||||
list[SAForwardSalesEstimatesData],
|
||||
]
|
||||
):
|
||||
"""Seeking Alpha Forward Sales Estimates Fetcher."""
|
||||
|
||||
@staticmethod
|
||||
def transform_query(params: dict[str, Any]) -> SAForwardSalesEstimatesQueryParams:
|
||||
"""Transform the query."""
|
||||
return SAForwardSalesEstimatesQueryParams(**params)
|
||||
|
||||
@staticmethod
|
||||
async def aextract_data(
|
||||
query: SAForwardSalesEstimatesQueryParams,
|
||||
credentials: dict[str, str] | None,
|
||||
**kwargs: Any,
|
||||
) -> dict:
|
||||
"""Return the raw data from the Seeking Alpha endpoint."""
|
||||
# pylint: disable=import-outside-toplevel
|
||||
from openbb_core.provider.utils.client import ClientSession
|
||||
|
||||
tickers = query.symbol.split(",") # type: ignore
|
||||
fp = query.period if query.period == "annual" else "quarterly"
|
||||
url = "https://seekingalpha.com/api/v3/symbol_data/estimates"
|
||||
querystring = {
|
||||
"estimates_data_items": "revenue_actual,revenue_consensus_low,revenue_consensus_mean,"
|
||||
"revenue_consensus_high,revenue_num_of_estimates",
|
||||
"period_type": fp,
|
||||
"relative_periods": "-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12",
|
||||
}
|
||||
|
||||
async with ClientSession(trust_env=True) as session:
|
||||
kwargs = {"session": session}
|
||||
ids = {
|
||||
ticker: await get_seekingalpha_id(ticker, **kwargs)
|
||||
for ticker in tickers
|
||||
}
|
||||
querystring["ticker_ids"] = ("%2C").join(list(ids.values()))
|
||||
response = await amake_request(
|
||||
url, headers=HEADERS, params=querystring, session=session
|
||||
)
|
||||
estimates = response.get("estimates", {}) # type: ignore
|
||||
|
||||
if not estimates:
|
||||
raise OpenBBError(f"No estimates data was returned for: {query.symbol}")
|
||||
output: dict = {"ids": ids, "estimates": estimates}
|
||||
|
||||
return output
|
||||
|
||||
@staticmethod
|
||||
def transform_data(
|
||||
query: SAForwardSalesEstimatesQueryParams,
|
||||
data: dict,
|
||||
**kwargs: Any,
|
||||
) -> list[SAForwardSalesEstimatesData]:
|
||||
"""Transform the data to the standard format."""
|
||||
tickers = query.symbol.split(",") # type: ignore
|
||||
ids = data.get("ids", {})
|
||||
estimates = data.get("estimates", {})
|
||||
results: list[SAForwardSalesEstimatesData] = []
|
||||
for ticker in tickers:
|
||||
sa_id = str(ids.get(ticker, ""))
|
||||
if sa_id == "" or sa_id not in estimates:
|
||||
warn(f"Symbol Error: No data found for, {ticker}")
|
||||
seek_object = estimates.get(sa_id, {})
|
||||
if not seek_object:
|
||||
warn(f"No data found for {ticker}")
|
||||
continue
|
||||
items = len(seek_object.get("revenue_num_of_estimates"))
|
||||
if not items:
|
||||
warn(f"No data found for {ticker}")
|
||||
continue
|
||||
for i in range(0, items - 4):
|
||||
rev_estimates: dict = {}
|
||||
rev_estimates["symbol"] = ticker
|
||||
num_estimates = seek_object["revenue_num_of_estimates"].get(str(i))
|
||||
if not num_estimates:
|
||||
continue
|
||||
period = num_estimates[0].get("period", {})
|
||||
if period:
|
||||
period_type = period.get("periodtypeid")
|
||||
rev_estimates["calendar_year"] = period.get("calendaryear")
|
||||
rev_estimates["calendar_period"] = (
|
||||
"Q" + str(period.get("calendarquarter", ""))
|
||||
if period_type == "quarterly"
|
||||
else "FY"
|
||||
)
|
||||
rev_estimates["date"] = period.get("periodenddate").split("T")[0]
|
||||
rev_estimates["fiscal_year"] = period.get("fiscalyear")
|
||||
rev_estimates["fiscal_period"] = (
|
||||
"Q" + str(period.get("fiscalquarter", ""))
|
||||
if period_type == "quarterly"
|
||||
else "FY"
|
||||
)
|
||||
rev_estimates["number_of_analysts"] = num_estimates[0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
mean = seek_object["revenue_consensus_mean"].get(str(i))
|
||||
if mean:
|
||||
mean = mean[0].get("dataitemvalue")
|
||||
rev_estimates["mean"] = int(float(mean))
|
||||
actual = (
|
||||
seek_object["revenue_actual"][str(i)][0].get("dataitemvalue")
|
||||
if i < 1
|
||||
else None
|
||||
)
|
||||
if actual:
|
||||
rev_estimates["actual"] = int(float(actual))
|
||||
low = seek_object["revenue_consensus_low"].get(str(i))
|
||||
if low:
|
||||
low = low[0].get("dataitemvalue")
|
||||
rev_estimates["low_estimate"] = int(float(low))
|
||||
high = seek_object["revenue_consensus_high"].get(str(i))
|
||||
if high:
|
||||
high = high[0].get("dataitemvalue")
|
||||
rev_estimates["high_estimate"] = int(float(high))
|
||||
# Calculate the estimated growth percent.
|
||||
this = float(mean) if mean else None
|
||||
prev = None
|
||||
percent = None
|
||||
try:
|
||||
prev = float(
|
||||
seek_object["revenue"][str(i - 1)][0].get("dataitemvalue")
|
||||
)
|
||||
except KeyError:
|
||||
prev = float(
|
||||
seek_object["revenue_consensus_mean"][str(i - 1)][0].get(
|
||||
"dataitemvalue"
|
||||
)
|
||||
)
|
||||
if this and prev:
|
||||
percent = (this - prev) / prev
|
||||
rev_estimates["period_growth"] = percent
|
||||
results.append(
|
||||
SAForwardSalesEstimatesData.model_validate(rev_estimates)
|
||||
)
|
||||
|
||||
return results
|
||||
@@ -1 +0,0 @@
|
||||
"""Init file for utils."""
|
||||
@@ -1,43 +0,0 @@
|
||||
"""Seeking Alpha Utilities."""
|
||||
|
||||
from datetime import timedelta
|
||||
|
||||
from openbb_core.provider.utils.helpers import amake_request
|
||||
|
||||
HEADERS = {
|
||||
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0", # noqa
|
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"Accept": "*/*",
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"Accept-Language": "en-US,en;q=0.9",
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"Accept-Encoding": "gzip, deflate, br, zstd",
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"Sec-Fetch-Site": "same-origin",
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"Connection": "keep-alive",
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}
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|
||||
|
||||
def date_range(start_date, end_date):
|
||||
"""Yield dates between start_date and end_date."""
|
||||
for n in range(int((end_date - start_date).days) + 1):
|
||||
yield start_date + timedelta(n)
|
||||
|
||||
|
||||
async def get_seekingalpha_id(symbol: str, **kwargs) -> str:
|
||||
"""Map a ticker symbol to its Seeking Alpha ID."""
|
||||
session = kwargs.get("session")
|
||||
url = "https://seekingalpha.com/api/v3/searches"
|
||||
querystring = {
|
||||
"filter[type]": "symbols",
|
||||
"filter[list]": "all",
|
||||
"page[size]": "100",
|
||||
}
|
||||
querystring["filter[query]"] = symbol
|
||||
if session:
|
||||
response = await amake_request(
|
||||
url, headers=HEADERS, params=querystring, session=session
|
||||
)
|
||||
else:
|
||||
response = await amake_request(url, headers=HEADERS, params=querystring)
|
||||
ids = response.get("symbols") # type: ignore
|
||||
|
||||
return str(ids[0].get("id", "")) if isinstance(ids, list) and ids else ""
|
||||
1959
openbb_platform/providers/seeking_alpha/poetry.lock
generated
vendored
1959
openbb_platform/providers/seeking_alpha/poetry.lock
generated
vendored
File diff suppressed because it is too large
Load Diff
@@ -1,19 +0,0 @@
|
||||
[tool.poetry]
|
||||
name = "openbb-seeking-alpha"
|
||||
version = "1.6.1"
|
||||
description = "Seeking Alpha extension for OpenBB"
|
||||
authors = ["OpenBB Team <hello@openbb.co>"]
|
||||
license = "AGPL-3.0-only"
|
||||
readme = "README.md"
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||||
packages = [{ include = "openbb_seeking_alpha" }]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.10,<4"
|
||||
openbb-core = "^1.6.10"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.poetry.plugins."openbb_provider_extension"]
|
||||
seeking_alpha = "openbb_seeking_alpha:seeking_alpha_provider"
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@@ -1 +0,0 @@
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@@ -1,60 +0,0 @@
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"""Tests for the Seeking Alpha fetchers."""
|
||||
|
||||
import pytest
|
||||
from openbb_core.app.service.user_service import UserService
|
||||
from openbb_seeking_alpha.models.calendar_earnings import SACalendarEarningsFetcher
|
||||
from openbb_seeking_alpha.models.forward_eps_estimates import (
|
||||
SAForwardEpsEstimatesFetcher,
|
||||
)
|
||||
from openbb_seeking_alpha.models.forward_sales_estimates import (
|
||||
SAForwardSalesEstimatesFetcher,
|
||||
)
|
||||
|
||||
test_credentials = UserService().default_user_settings.credentials.model_dump(
|
||||
mode="json"
|
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)
|
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|
||||
|
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@pytest.fixture(scope="module")
|
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def vcr_config():
|
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"""VCR configuration."""
|
||||
return {
|
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"filter_headers": [("User-Agent", None)],
|
||||
"filter_query_parameters": [
|
||||
("filter[selected_date]", "MOCK_DATE"),
|
||||
("relative_periods", "MOCK_PERIODS"),
|
||||
("estimates_data_items", "MOCK_ITEMS"),
|
||||
("period_type", "MOCK_PERIOD"),
|
||||
("ticker_ids", "MOCK_TICKER_IDS"),
|
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],
|
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}
|
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|
||||
|
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@pytest.mark.record_http
|
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def test_sa_calendar_earnings_fetcher(credentials=test_credentials):
|
||||
"""Test the Seeking Alpha Calendar Earnings fetcher."""
|
||||
params = {}
|
||||
|
||||
fetcher = SACalendarEarningsFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
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def test_sa_forward_eps_estimates(credentials=test_credentials):
|
||||
"""Test the Seeking Alpha Forward EPS Estimates fetcher."""
|
||||
params = {"symbol": "NVDA"}
|
||||
|
||||
fetcher = SAForwardEpsEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.record_http
|
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def test_sa_forward_sales_estimates(credentials=test_credentials):
|
||||
"""Test the Seeking Alpha Forward Sales Estimates fetcher."""
|
||||
params = {"symbol": "NVDA"}
|
||||
|
||||
fetcher = SAForwardSalesEstimatesFetcher()
|
||||
result = fetcher.test(params, credentials)
|
||||
assert result is None
|
||||
Reference in New Issue
Block a user