Merge branch 'develop' into feature/charting-obbject

This commit is contained in:
Henrique Joaquim
2024-01-10 12:14:07 +00:00
committed by GitHub
211 changed files with 143163 additions and 233133 deletions

View File

@@ -245,6 +245,7 @@ class ProviderInterface(metaclass=SingletonMeta):
title=provider_name,
description=description,
alias=field.alias or None,
json_schema_extra=field.json_schema_extra,
)
elif provider_name:
default: FieldInfo = Field(
@@ -257,6 +258,7 @@ class ProviderInterface(metaclass=SingletonMeta):
)
if alias_dict.get(name, [])
else None,
json_schema_extra=field.json_schema_extra,
)
return DataclassField(new_name, type_, default)
@@ -479,6 +481,7 @@ class ProviderInterface(metaclass=SingletonMeta):
fields.update(extra.model_fields)
fields_dict: Dict[str, Tuple[Any, Any]] = {}
for name, field in fields.items():
fields_dict[name] = (
field.annotation,
@@ -488,6 +491,7 @@ class ProviderInterface(metaclass=SingletonMeta):
description=field.description,
alias=field.alias,
validation_alias=field.validation_alias,
json_schema_extra=field.json_schema_extra,
),
)

View File

@@ -18,7 +18,7 @@ class EquityQuoteQueryParams(QueryParams):
symbol: str = Field(
description=QUERY_DESCRIPTIONS.get("symbol", "")
+ " In this case, the comma separated list of symbols."
+ " This endpoint will accept multiple symbols separated by commas."
)
@field_validator("symbol", mode="before", check_fields=False)
@@ -33,14 +33,125 @@ class EquityQuoteQueryParams(QueryParams):
class EquityQuoteData(Data):
"""Equity Quote Data."""
day_low: Optional[float] = Field(
symbol: str = Field(description=DATA_DESCRIPTIONS.get("symbol", ""))
asset_type: Optional[str] = Field(
default=None, description="Type of asset - i.e, stock, ETF, etc."
)
name: Optional[str] = Field(
default=None, description="Name of the company or asset."
)
exchange: Optional[str] = Field(
default=None,
description="Lowest price of the stock in the current trading day.",
description="The name or symbol of the venue where the data is from.",
)
day_high: Optional[float] = Field(
bid: Optional[float] = Field(
default=None, description="Price of the top bid order."
)
bid_size: Optional[int] = Field(
default=None,
description="Highest price of the stock in the current trading day.",
description="This represents the number of round lot orders at the given price."
+ " The normal round lot size is 100 shares."
+ " A size of 2 means there are 200 shares available at the given price.",
)
date: Optional[datetime] = Field(
description=DATA_DESCRIPTIONS.get("date", ""), default=None
bid_exchange: Optional[str] = Field(
default=None,
description="The specific trading venue where the purchase order was placed.",
)
ask: Optional[float] = Field(
default=None, description="Price of the top ask order."
)
ask_size: Optional[int] = Field(
default=None,
description="This represents the number of round lot orders at the given price."
+ " The normal round lot size is 100 shares."
+ " A size of 2 means there are 200 shares available at the given price.",
)
ask_exchange: Optional[str] = Field(
default=None,
description="The specific trading venue where the sale order was placed.",
)
quote_conditions: Optional[Union[str, int, List[str], List[int]]] = Field(
default=None,
description="Conditions or condition codes applicable to the quote.",
)
quote_indicators: Optional[Union[str, int, List[str], List[int]]] = Field(
default=None,
description="Indicators or indicator codes applicable to the participant"
+ " quote related to the price bands for the issue, or the affect the quote has"
+ " on the NBBO.",
)
sales_conditions: Optional[Union[str, int, List[str], List[int]]] = Field(
default=None,
description="Conditions or condition codes applicable to the sale.",
)
sequence_number: Optional[int] = Field(
default=None,
description="The sequence number represents the sequence in which message events happened."
+ " These are increasing and unique per ticker symbol,"
+ " but will not always be sequential (e.g., 1, 2, 6, 9, 10, 11).",
)
market_center: Optional[str] = Field(
default=None,
description="The ID of the UTP participant that originated the message.",
)
participant_timestamp: Optional[datetime] = Field(
default=None,
description="Timestamp for when the quote was generated by the exchange.",
)
trf_timestamp: Optional[datetime] = Field(
default=None,
description="Timestamp for when the TRF (Trade Reporting Facility) received the message.",
)
sip_timestamp: Optional[datetime] = Field(
default=None,
description="Timestamp for when the SIP (Security Information Processor)"
+ " received the message from the exchange.",
)
last_price: Optional[float] = Field(
default=None, description="Price of the last trade."
)
last_tick: Optional[str] = Field(
default=None, description="Whether the last sale was an up or down tick."
)
last_size: Optional[int] = Field(
default=None, description="Size of the last trade."
)
last_timestamp: Optional[datetime] = Field(
default=None, description="Date and Time when the last price was recorded."
)
open: Optional[float] = Field(
default=None, description=DATA_DESCRIPTIONS.get("open", "")
)
high: Optional[float] = Field(
default=None, description=DATA_DESCRIPTIONS.get("high", "")
)
low: Optional[float] = Field(
default=None, description=DATA_DESCRIPTIONS.get("low", "")
)
close: Optional[float] = Field(
default=None, description=DATA_DESCRIPTIONS.get("close", "")
)
volume: Optional[Union[int, float]] = Field(
default=None, description=DATA_DESCRIPTIONS.get("volume", "")
)
exchange_volume: Optional[Union[int, float]] = Field(
default=None,
description="Volume of shares exchanged during the trading day on the specific exchange.",
)
prev_close: Optional[float] = Field(
default=None, description=DATA_DESCRIPTIONS.get("prev_close", "")
)
change: Optional[float] = Field(
default=None, description="Change in price from previous close."
)
change_percent: Optional[float] = Field(
default=None,
description="Change in price as a normalized percentage.",
json_schema_extra={"x-frontendmultiply": 100},
)
year_high: Optional[float] = Field(
default=None, description="The one year high (52W High)."
)
year_low: Optional[float] = Field(
default=None, description="The one year low (52W Low)."
)

View File

@@ -1,18 +1,19 @@
"""Revenue by Business Line Standard Model."""
import warnings
from datetime import date as dateType
from typing import Dict, List, Literal, Set, Union
from typing import Dict, Literal, Optional
from pydantic import Field, field_validator
from openbb_core.provider.abstract.data import Data, ForceInt
from openbb_core.provider.abstract.query_params import QueryParams
from openbb_core.provider.utils.descriptions import (
DATA_DESCRIPTIONS,
QUERY_DESCRIPTIONS,
)
_warn = warnings.warn
class RevenueBusinessLineQueryParams(QueryParams):
"""Revenue by Business Line Query."""
@@ -26,17 +27,29 @@ class RevenueBusinessLineQueryParams(QueryParams):
) # should always be flat
@field_validator("symbol", mode="before", check_fields=False)
def upper_symbol(cls, v: Union[str, List[str], Set[str]]):
@classmethod
def upper_symbol(cls, v: str):
"""Convert symbol to uppercase."""
if isinstance(v, str):
return v.upper()
return ",".join([symbol.upper() for symbol in list(v)])
if "," in v:
_warn(
f"{QUERY_DESCRIPTIONS.get('symbol_list_warning', '')} {v.split(',')[0].upper()}"
)
return v.split(",")[0].upper() if "," in v else v.upper()
class RevenueBusinessLineData(Data):
"""Revenue by Business Line Data."""
date: dateType = Field(description=DATA_DESCRIPTIONS.get("date", ""))
business_line: Dict[str, ForceInt] = Field(
description="Day level data containing the revenue of the business line."
period_ending: dateType = Field(description="The end date of the reporting period.")
fiscal_period: Optional[str] = Field(
default=None, description="The fiscal period of the reporting period."
)
fiscal_year: Optional[int] = Field(
default=None, description="The fiscal year of the reporting period."
)
filing_date: Optional[dateType] = Field(
default=None, description="The filing date of the report."
)
business_line: Dict[str, ForceInt] = Field(
description="Dictionary containing the revenue of the business line."
)

View File

@@ -1,18 +1,19 @@
"""Revenue by Geographic Segments Standard Model."""
import warnings
from datetime import date as dateType
from typing import Dict, List, Literal, Optional, Set, Union
from typing import Dict, Literal, Optional
from pydantic import Field, field_validator
from openbb_core.provider.abstract.data import Data, ForceInt
from openbb_core.provider.abstract.query_params import QueryParams
from openbb_core.provider.utils.descriptions import (
DATA_DESCRIPTIONS,
QUERY_DESCRIPTIONS,
)
_warn = warnings.warn
class RevenueGeographicQueryParams(QueryParams):
"""Revenue by Geographic Segments Query."""
@@ -27,32 +28,28 @@ class RevenueGeographicQueryParams(QueryParams):
@field_validator("symbol", mode="before", check_fields=False)
@classmethod
def upper_symbol(cls, v: Union[str, List[str], Set[str]]):
def upper_symbol(cls, v: str):
"""Convert symbol to uppercase."""
if isinstance(v, str):
return v.upper()
return ",".join([symbol.upper() for symbol in list(v)])
if "," in v:
_warn(
f"{QUERY_DESCRIPTIONS.get('symbol_list_warning', '')} {v.split(',')[0].upper()}"
)
return v.split(",")[0].upper() if "," in v else v.upper()
class RevenueGeographicData(Data):
"""Revenue by Geographic Segments Data."""
date: dateType = Field(description=DATA_DESCRIPTIONS.get("date", ""))
period_ending: dateType = Field(description="The end date of the reporting period.")
fiscal_period: Optional[str] = Field(
default=None, description="The fiscal period of the reporting period."
)
fiscal_year: Optional[int] = Field(
default=None, description="The fiscal year of the reporting period."
)
filing_date: Optional[dateType] = Field(
default=None, description="The filing date of the report."
)
geographic_segment: Dict[str, ForceInt] = Field(
description="Day level data containing the revenue of the geographic segment."
)
americas: Optional[ForceInt] = Field(
default=None, description="Revenue from the the American segment."
)
europe: Optional[ForceInt] = Field(
default=None, description="Revenue from the the European segment."
)
greater_china: Optional[ForceInt] = Field(
default=None, description="Revenue from the the Greater China segment."
)
japan: Optional[ForceInt] = Field(
default=None, description="Revenue from the the Japan segment."
)
rest_of_asia_pacific: Optional[ForceInt] = Field(
default=None, description="Revenue from the the Rest of Asia Pacific segment."
description="Dictionary of the revenue by geographic segment."
)

View File

@@ -2,6 +2,7 @@
from datetime import date as dateType
from typing import Optional
from pydantic import Field
@@ -17,6 +18,11 @@ class TrailingDivYieldQueryParams(QueryParams):
"""Trailing Dividend Yield Query."""
symbol: str = Field(default=None, description=QUERY_DESCRIPTIONS.get("symbol", ""))
limit: Optional[int] = Field(
default=252,
description=f"{QUERY_DESCRIPTIONS.get('limit', '')}"
" Default is 252, the number of trading days in a year.",
)
class TrailingDivYieldData(Data):

View File

@@ -1102,7 +1102,9 @@ def test_equity_price_quote(params, headers):
"params",
[
({"symbol": "AAPL", "provider": "cboe"}),
({"provider": "intrinio", "symbol": "AAPL"}),
({"symbol": "MSFT", "provider": "intrinio"}),
({"symbol": "AAPL,MSFT", "provider": "cboe"}),
({"symbol": "AAPL,MSFT", "provider": "intrinio"}),
],
)
@pytest.mark.integration
@@ -1442,7 +1444,7 @@ def test_equity_fundamental_historical_eps(params, headers):
@parametrize(
"params",
[({"provider": "tiingo", "symbol": "AAPL"})],
[({"provider": "tiingo", "symbol": "AAPL", "limit": 10})],
)
@pytest.mark.integration
def test_equity_fundamental_trailing_dividend_yield(params, headers):

View File

@@ -1049,7 +1049,9 @@ def test_equity_price_quote(params, obb):
"params",
[
({"symbol": "AAPL", "provider": "cboe"}),
({"provider": "intrinio", "symbol": "AAPL"}),
({"symbol": "MSFT", "provider": "intrinio"}),
({"symbol": "AAPL,MSFT", "provider": "cboe"}),
({"symbol": "AAPL,MSFT", "provider": "intrinio"}),
],
)
@pytest.mark.integration
@@ -1361,7 +1363,7 @@ def test_equity_fundamental_historical_eps(params, obb):
@parametrize(
"params",
[({"provider": "tiingo", "symbol": "AAPL"})],
[({"provider": "tiingo", "symbol": "AAPL", "limit": 10})],
)
@pytest.mark.integration
def test_equity_fundamental_trailing_dividend_yield(params, obb):

View File

@@ -241,7 +241,7 @@ class ROUTER_equity(Container):
Returns
-------
OBBject
results : EquityInfo
results : List[EquityInfo]
Serializable results.
provider : Optional[Literal['intrinio']]
Provider name.

View File

@@ -5,7 +5,12 @@ from datetime import datetime
from typing import Any, Dict, List, Literal, Optional
from dateutil.relativedelta import relativedelta
from openbb_alpha_vantage.utils.helpers import extract_key_name, get_data, get_interval
from openbb_alpha_vantage.utils.helpers import (
extract_key_name,
filter_by_dates,
get_data,
get_interval,
)
from openbb_core.provider.abstract.fetcher import Fetcher
from openbb_core.provider.standard_models.equity_historical import (
EquityHistoricalData,
@@ -171,6 +176,7 @@ class AVEquityHistoricalFetcher(
return data[dynamic_key]
# pylint: disable=unused-argument
@staticmethod
def transform_data(
query: AVEquityHistoricalQueryParams, data: Dict, **kwargs: Any
@@ -180,5 +186,6 @@ class AVEquityHistoricalFetcher(
{"date": date, **{extract_key_name(k): v for k, v in values.items()}}
for date, values in data.items()
]
data = filter_by_dates(data, query.start_date, query.end_date)
return [AVEquityHistoricalData.model_validate(d) for d in data]

View File

@@ -2,8 +2,9 @@
import json
import re
from datetime import datetime
from io import StringIO
from typing import Any, List, Optional, TypeVar, Union
from typing import Any, Dict, List, Optional, TypeVar, Union
import requests
from openbb_core.provider import helpers
@@ -149,7 +150,6 @@ def get_data_one(url: str, **kwargs: Any) -> dict:
def get_interval(value: str) -> str:
"""Get the intervals for the Alpha Vantage API."""
intervals = {
"m": "min",
"d": "day",
@@ -164,3 +164,17 @@ def extract_key_name(key):
"""Extract the alphabetical part of the key using regex."""
match = re.search(r"\d+\.\s+([a-z]+)", key, re.I)
return match.group(1) if match else key
def filter_by_dates(
data: List[Dict[str, Any]], start_date: datetime, end_date: datetime
) -> List[Dict[str, Any]]:
"""Filter the data by start and end dates."""
return list(
filter(
lambda x: start_date
<= datetime.strptime(x["date"], "%Y-%m-%d").date()
<= end_date,
data,
)
)

View File

@@ -100,4 +100,12 @@ class FMPCurrencyHistoricalFetcher(
query: FMPCurrencyHistoricalQueryParams, data: List[Dict], **kwargs: Any
) -> List[FMPCurrencyHistoricalData]:
"""Return the transformed data."""
# pylint: disable=unused-argument
data = [
d
for d in data
if d.get("vwap") != 0
and d.get("change") != 0
and d.get("changeOverTime") != 0
]
return [FMPCurrencyHistoricalData.model_validate(d) for d in data]

View File

@@ -1,7 +1,7 @@
"""FMP Equity Quote Model."""
from datetime import datetime
from typing import Any, Dict, List, Optional
from datetime import datetime, timezone
from typing import Any, Dict, List, Optional, Union
from openbb_core.provider.abstract.data import ForceInt
from openbb_core.provider.abstract.fetcher import Fetcher
@@ -27,71 +27,58 @@ class FMPEquityQuoteData(EquityQuoteData):
__alias_dict__ = {
"price_avg50": "priceAvg50",
"price_avg200": "priceAvg200",
"date": "timestamp",
"last_timestamp": "timestamp",
"high": "dayHigh",
"low": "dayLow",
"last_price": "price",
"change_percent": "changesPercentage",
"prev_close": "previousClose",
}
symbol: Optional[str] = Field(default=None, description="Symbol of the company.")
name: Optional[str] = Field(default=None, description="Name of the company.")
price: Optional[float] = Field(
default=None, description="Current trading price of the equity."
price_avg50: Optional[float] = Field(
default=None, description="50 day moving average price."
)
changes_percentage: Optional[float] = Field(
default=None, description="Change percentage of the equity price."
price_avg200: Optional[float] = Field(
default=None, description="200 day moving average price."
)
change: Optional[float] = Field(
default=None, description="Change in the equity price."
)
year_high: Optional[float] = Field(
default=None, description="Highest price of the equity in the last 52 weeks."
)
year_low: Optional[float] = Field(
default=None, description="Lowest price of the equity in the last 52 weeks."
avg_volume: Optional[ForceInt] = Field(
default=None,
description="Average volume over the last 10 trading days.",
)
market_cap: Optional[float] = Field(
default=None, description="Market cap of the company."
)
price_avg50: Optional[float] = Field(
default=None, description="50 days average price of the equity."
)
price_avg200: Optional[float] = Field(
default=None, description="200 days average price of the equity."
)
volume: Optional[ForceInt] = Field(
default=None,
description="Volume of the equity in the current trading day.",
)
avg_volume: Optional[ForceInt] = Field(
default=None,
description="Average volume of the equity in the last 10 trading days.",
)
exchange: Optional[str] = Field(
default=None, description="Exchange the equity is traded on."
)
open: Optional[float] = Field(
default=None,
description="Opening price of the equity in the current trading day.",
)
previous_close: Optional[float] = Field(
default=None, description="Previous closing price of the equity."
)
eps: Optional[float] = Field(
default=None, description="Earnings per share of the equity."
)
pe: Optional[float] = Field(
default=None, description="Price earnings ratio of the equity."
)
earnings_announcement: Optional[str] = Field(
default=None, description="Earnings announcement date of the equity."
)
shares_outstanding: Optional[ForceInt] = Field(
default=None, description="Number of shares outstanding of the equity."
default=None, description="Number of shares outstanding."
)
eps: Optional[float] = Field(default=None, description="Earnings per share.")
pe: Optional[float] = Field(default=None, description="Price earnings ratio.")
earnings_announcement: Optional[Union[datetime, str]] = Field(
default=None, description="Upcoming earnings announcement date."
)
@field_validator("timestamp", mode="before", check_fields=False)
@field_validator("last_timestamp", mode="before", check_fields=False)
@classmethod
def date_validate(cls, v): # pylint: disable=E0213
def validate_last_timestamp(cls, v): # pylint: disable=E0213
"""Return the date as a datetime object."""
return datetime.strptime(v, "%Y-%m-%d")
v = int(v) if isinstance(v, str) else v
return datetime.utcfromtimestamp(int(v)).replace(tzinfo=timezone.utc)
@field_validator("earnings_announcement", mode="before", check_fields=False)
@classmethod
def timestamp_validate(cls, v): # pylint: disable=E0213
"""Return the datetime string as a datetime object."""
if v:
dt = datetime.strptime(v, "%Y-%m-%dT%H:%M:%S.%f%z")
dt = dt.replace(microsecond=0)
timestamp = dt.timestamp()
return datetime.fromtimestamp(timestamp, tz=timezone.utc)
return None
@field_validator("change_percent", mode="after", check_fields=False)
@classmethod
def normalize_percent(cls, v): # pylint: disable=E0213
"""Return the percent value as a normalized value."""
return float(v) / 100 if v else None
class FMPEquityQuoteFetcher(

View File

@@ -1,5 +1,5 @@
"""FMP Revenue by Business Line Model."""
# pylint: disable=unused-argument
from datetime import datetime
from typing import Any, Dict, List, Optional
@@ -8,6 +8,7 @@ from openbb_core.provider.standard_models.revenue_business_line import (
RevenueBusinessLineData,
RevenueBusinessLineQueryParams,
)
from openbb_fmp.models.cash_flow import FMPCashFlowStatementFetcher
from openbb_fmp.utils.helpers import create_url, get_data_many
from pydantic import field_validator
@@ -22,11 +23,11 @@ class FMPRevenueBusinessLineQueryParams(RevenueBusinessLineQueryParams):
class FMPRevenueBusinessLineData(RevenueBusinessLineData):
"""FMP Revenue by Business Line Data."""
@field_validator("date", mode="before", check_fields=False)
@field_validator("period_ending", "filing_date", mode="before", check_fields=False)
@classmethod
def date_validate(cls, v): # pylint: disable=E0213
"""Return the date as a datetime object."""
return datetime.strptime(v, "%Y-%m-%d")
return datetime.strptime(v, "%Y-%m-%d") if v else None
class FMPRevenueBusinessLineFetcher(
@@ -53,15 +54,35 @@ class FMPRevenueBusinessLineFetcher(
url = create_url(4, "revenue-product-segmentation", api_key, query)
return await get_data_many(url, **kwargs)
cf_fetcher = FMPCashFlowStatementFetcher()
cf_query = cf_fetcher.transform_query(
{"symbol": query.symbol, "period": query.period, "limit": 200}
)
cf_data = await cf_fetcher.aextract_data(cf_query, {"fmp_api_key": api_key})
filing_dates = sorted(
[
{
"period_ending": d["date"],
"fiscal_year": d["calendarYear"],
"fiscal_period": d["period"],
"filing_date": d["fillingDate"],
}
for d in cf_data
],
key=lambda d: d["period_ending"],
)
rev_data = await get_data_many(url, **kwargs)
rev_data_dict = {list(d.keys())[0]: list(d.values())[0] for d in rev_data}
combined_data = [
{**d, "business_line": rev_data_dict[d["period_ending"]]}
for d in filing_dates
if d["period_ending"] in rev_data_dict
]
return combined_data
@staticmethod
def transform_data(
query: FMPRevenueBusinessLineQueryParams, data: List[Dict], **kwargs: Any
) -> List[FMPRevenueBusinessLineData]:
"""Return the transformed data."""
return [
FMPRevenueBusinessLineData(date=key, business_line=value)
for d in data
for key, value in d.items()
]
return [FMPRevenueBusinessLineData.model_validate(d) for d in data]

View File

@@ -1,5 +1,5 @@
"""FMP Revenue Geographic Model."""
# pylint: disable=unused-argument
from datetime import datetime
from typing import Any, Dict, List, Optional
@@ -8,6 +8,7 @@ from openbb_core.provider.standard_models.revenue_geographic import (
RevenueGeographicData,
RevenueGeographicQueryParams,
)
from openbb_fmp.models.cash_flow import FMPCashFlowStatementFetcher
from openbb_fmp.utils.helpers import create_url, get_data_many
from pydantic import field_validator
@@ -22,11 +23,11 @@ class FMPRevenueGeographicQueryParams(RevenueGeographicQueryParams):
class FMPRevenueGeographicData(RevenueGeographicData):
"""FMP Revenue Geographic Data."""
@field_validator("date", mode="before")
@field_validator("period_ending", "filing_date", mode="before", check_fields=False)
@classmethod
def date_validate(cls, v): # pylint: disable=E0213
"""Return date as a datetime object."""
return datetime.strptime(v, "%Y-%m-%d")
"""Return the date as a datetime object."""
return datetime.strptime(v, "%Y-%m-%d") if v else None
class FMPRevenueGeographicFetcher(
@@ -53,28 +54,38 @@ class FMPRevenueGeographicFetcher(
url = create_url(4, "revenue-geographic-segmentation", api_key, query)
return await get_data_many(url, **kwargs)
cf_fetcher = FMPCashFlowStatementFetcher()
cf_query = cf_fetcher.transform_query(
{"symbol": query.symbol, "period": query.period, "limit": 200}
)
cf_data = await cf_fetcher.aextract_data(cf_query, {"fmp_api_key": api_key})
filing_dates = sorted(
[
{
"period_ending": d["date"],
"fiscal_year": d["calendarYear"],
"fiscal_period": d["period"],
"filing_date": d["fillingDate"],
}
for d in cf_data
],
key=lambda d: d["period_ending"],
)
rev_data = await get_data_many(url, **kwargs)
rev_data_dict = {list(d.keys())[0]: list(d.values())[0] for d in rev_data}
combined_data = [
{**d, "geographic_segment": rev_data_dict[d["period_ending"]]}
for d in filing_dates
if d["period_ending"] in rev_data_dict
]
return combined_data
@staticmethod
def transform_data(
query: FMPRevenueGeographicQueryParams, data: List[Dict], **kwargs: Any
) -> List[FMPRevenueGeographicData]:
"""Return the transformed data."""
return [
FMPRevenueGeographicData(
date=key,
geographic_segment=v,
americas=v.get("Americas Segment", v.get("North America", None)),
europe=v.get("Europe Segment", v.get("Europe", None)),
greater_china=v.get(
"Greater China Segment", v.get("Greater China", None)
),
japan=v.get("Japan Segment", v.get("Japan", v.get("J P", None))),
rest_of_asia_pacific=v.get(
"Rest of Asia Pacific Segment", v.get("Asia-Pacific", None)
),
)
for d in data
for key, v in d.items()
if isinstance(v, Dict)
]
return [FMPRevenueGeographicData.model_validate(d) for d in data]

View File

@@ -3,30 +3,141 @@ interactions:
body: null
headers:
Accept:
- '*/*'
- application/json
Accept-Encoding:
- gzip, deflate, br
- gzip, deflate
Connection:
- keep-alive
method: GET
uri: https://financialmodelingprep.com/api/v4/revenue-product-segmentation?apikey=MOCK_API_KEY&period=annual&structure=flat&symbol=AAPL
uri: https://financialmodelingprep.com/api/v3/cash-flow-statement/AAPL?apikey=MOCK_API_KEY&limit=200&period=annual
response:
body:
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View File

@@ -7,7 +7,10 @@ from openbb_core.provider.standard_models.equity_info import (
EquityInfoData,
EquityInfoQueryParams,
)
from openbb_intrinio.utils.helpers import get_data_one
from openbb_core.provider.utils.helpers import (
amake_requests,
)
from openbb_intrinio.utils.helpers import response_callback
from pydantic import Field
@@ -34,7 +37,7 @@ class IntrinioEquityInfoData(EquityInfoData):
class IntrinioEquityInfoFetcher(
Fetcher[
IntrinioEquityInfoQueryParams,
IntrinioEquityInfoData,
List[IntrinioEquityInfoData],
]
):
"""Transform the query, extract and transform the data from the Intrinio endpoints."""
@@ -44,24 +47,30 @@ class IntrinioEquityInfoFetcher(
"""Transform the query."""
return IntrinioEquityInfoQueryParams(**params)
# pylint: disable=W0613:unused-argument
@staticmethod
async def aextract_data(
query: IntrinioEquityInfoQueryParams, # pylint: disable=unused-argument
query: IntrinioEquityInfoQueryParams,
credentials: Optional[Dict[str, str]],
**kwargs: Any,
) -> Dict:
"""Return the raw data from the Intrinio endpoint."""
api_key = credentials.get("intrinio_api_key") if credentials else ""
base_url = "https://api-v2.intrinio.com"
url = f"{base_url}/companies/{query.symbol}?api_key={api_key}"
return await get_data_one(url, **kwargs)
urls = [
f"{base_url}/companies/{s.strip()}?api_key={api_key}"
for s in query.symbol.split(",")
]
return await amake_requests(urls, response_callback, **kwargs)
# pylint: disable=W0613:unused-argument
@staticmethod
def transform_data(
query: IntrinioEquityInfoQueryParams,
data: List[Dict],
**kwargs: Any, # pylint: disable=unused-argument
) -> IntrinioEquityInfoData:
**kwargs: Any,
) -> List[IntrinioEquityInfoData]:
"""Transforms the data."""
return IntrinioEquityInfoData.model_validate(data)
return [IntrinioEquityInfoData.model_validate(d) for d in data]

View File

@@ -1,5 +1,6 @@
"""Intrinio Equity Quote Model."""
# pylint: disable=unused-argument
import warnings
from datetime import datetime
from typing import Any, Dict, List, Optional
@@ -12,9 +13,11 @@ from openbb_core.provider.utils.helpers import (
ClientResponse,
amake_requests,
)
from openbb_intrinio.utils.references import SOURCES
from openbb_intrinio.utils.references import SOURCES, VENUES, IntrinioSecurity
from pydantic import Field, field_validator
_warn = warnings.warn
class IntrinioEquityQuoteQueryParams(EquityQuoteQueryParams):
"""Intrinio Equity Quote Query.
@@ -32,68 +35,32 @@ class IntrinioEquityQuoteData(EquityQuoteData):
"""Intrinio Equity Quote Data."""
__alias_dict__ = {
"day_low": "low_price",
"day_high": "high_price",
"date": "last_time",
"exchange": "listing_venue",
"market_center": "market_center_code",
"bid": "bid_price",
"ask": "ask_price",
"open": "open_price",
"close": "close_price",
"low": "low_price",
"high": "high_price",
"last_timestamp": "last_time",
"volume": "market_volume",
}
last_price: float = Field(description="Price of the last trade.")
last_time: datetime = Field(
description="Date and Time when the last trade occurred.", alias="date"
is_darkpool: Optional[bool] = Field(
default=None, description="Whether or not the current trade is from a darkpool."
)
last_size: Optional[int] = Field(description="Size of the last trade.")
bid_price: float = Field(description="Price of the top bid order.")
bid_size: int = Field(description="Size of the top bid order.")
ask_price: float = Field(description="Price of the top ask order.")
ask_size: int = Field(description="Size of the top ask order.")
open_price: float = Field(description="Open price for the trading day.")
close_price: Optional[float] = Field(
default=None, description="Closing price for the trading day (IEX source only)."
)
high_price: float = Field(
description="High Price for the trading day.", alias="day_high"
)
low_price: float = Field(
description="Low Price for the trading day.", alias="day_low"
)
exchange_volume: Optional[int] = Field(
default=None,
description="Number of shares exchanged during the trading day on the exchange.",
)
market_volume: Optional[int] = Field(
default=None,
description="Number of shares exchanged during the trading day for the whole market.",
source: Optional[str] = Field(
default=None, description="Source of the Intrinio data."
)
updated_on: datetime = Field(
description="Date and Time when the data was last updated."
)
source: str = Field(description="Source of the data.")
listing_venue: Optional[str] = Field(
default=None,
description="Listing venue where the trade took place (SIP source only).",
)
sales_conditions: Optional[str] = Field(
default=None,
description="Indicates any sales condition modifiers associated with the trade.",
)
quote_conditions: Optional[str] = Field(
default=None,
description="Indicates any quote condition modifiers associated with the trade.",
)
market_center_code: Optional[str] = Field(
default=None, description="Market center character code."
)
is_darkpool: Optional[bool] = Field(
default=None, description="Whether or not the current trade is from a darkpool."
)
messages: Optional[List[str]] = Field(
default=None, description="Messages associated with the endpoint."
)
security: Optional[Dict[str, Any]] = Field(
security: Optional[IntrinioSecurity] = Field(
default=None, description="Security details related to the quote."
)
@field_validator("last_time", "updated_on", mode="before", check_fields=False)
@classmethod
def date_validate(cls, v): # pylint: disable=E0213
"""Return the date as a datetime object."""
return (
@@ -102,6 +69,25 @@ class IntrinioEquityQuoteData(EquityQuoteData):
else datetime.fromisoformat(v)
)
@field_validator("sales_conditions", mode="before", check_fields=False)
@classmethod
def validate_sales_conditions(cls, v):
"""Validate sales conditions and remove empty strings."""
if v == "\u0017 ":
return None
if v == "" or v is None:
return None
v = v.strip()
return v
@field_validator("exchange", "market_center", mode="before", check_fields=False)
@classmethod
def validate_listing_venue(cls, v):
"""Validate listing venue and remove empty strings."""
if v:
return VENUES[v] if v in VENUES else v
return None
class IntrinioEquityQuoteFetcher(
Fetcher[
@@ -133,20 +119,21 @@ class IntrinioEquityQuoteFetcher(
return {}
response_data = await response.json()
response_data["symbol"] = response.url.parts[-2]
return response_data
response_data["symbol"] = response_data["security"].get("ticker", None) # type: ignore
if "messages" in response_data and response_data.get("messages"): # type: ignore
_message = list(response_data.pop("messages")) # type: ignore
_warn(str(",".join(_message)))
return response_data # type: ignore
urls = [
f"{base_url}/securities/{s.strip()}/prices/realtime?source={query.source}&api_key={api_key}"
for s in query.symbol.split(",")
]
return await amake_requests(urls, callback, **kwargs)
@staticmethod
def transform_data(
query: IntrinioEquityQuoteQueryParams, data: dict, **kwargs: Any
query: IntrinioEquityQuoteQueryParams, data: List[Dict], **kwargs: Any
) -> List[IntrinioEquityQuoteData]:
"""Return the transformed data."""
return [IntrinioEquityQuoteData.model_validate(d) for d in data]

View File

@@ -17,6 +17,28 @@ SOURCES = Literal[
"delayed_sip",
]
VENUES = {
"A": "NYSE MKT LLC",
"B": "NASDAQ OMX BX, Inc.",
"C": "National Stock Exchange Inc. (NSX)",
"D": "FINRA ADF",
"I": "International Securities Exchange, LLC",
"J": "Bats EDGA Exchange, INC",
"K": "Bats EDGX Exchange, Inc.",
"M": "Chicago Stock Exchange, Inc. (CHX)",
"N": "New York Stock Exchange LLC",
"P": "NYSE Arca, Inc.",
"S": "Consolidated Tape System",
"T": "NASDAQ (Tape A, B securities)",
"Q": "NASDAQ (Tape C securities)",
"V": "The Investors' Exchange, LLC (IEX)",
"W": "Chicago Broad Options Exchange, Inc. (CBOE)",
"X": "NASDAQ OMX PSX, Inc. LLC",
"Y": "Bats BYX Exchange, Inc.",
"Z": "Bats BZX Exchange, Inc.",
"u": "Other OTC Markets",
}
class IntrinioCompany(Data):
"""Intrinio Company Data."""
@@ -65,7 +87,7 @@ class IntrinioSecurity(Data):
description="The country-composite OpenFIGI identifier.", default=None
)
share_class_figi: Optional[str] = Field(
description="The global-composite OpenFIGI identifier.",
description="The global-composite OpenFIGI identifier.", default=None
)
primary_listing: Optional[bool] = Field(
description="""

View File

@@ -37,7 +37,7 @@ class TiingoTrailingDivYieldFetcher(
transformed_params = params
return TiingoTrailingDivYieldQueryParams(**transformed_params)
# pylint: disable=protected-access
# pylint: disable=unused-argument
@staticmethod
def extract_data(
query: TiingoTrailingDivYieldQueryParams,
@@ -60,4 +60,5 @@ class TiingoTrailingDivYieldFetcher(
**kwargs: Any,
) -> List[TiingoTrailingDivYieldData]:
"""Return the transformed data."""
data = data[-query.limit :] if query.limit else data
return [TiingoTrailingDivYieldData.model_validate(d) for d in data]

View File

@@ -76,9 +76,14 @@ class YFinanceFuturesHistoricalFetcher(
new_symbols.append(new_symbol)
else:
new_symbols.append(symbol)
formatted_symbols = [
f"{s.upper()}=F" if "." not in s.upper() else s.upper() for s in new_symbols
]
formatted_symbols = []
for s in new_symbols:
if "." not in s.upper() and "=F" not in s.upper():
formatted_symbols.append(f"{s.upper()}=F")
else:
formatted_symbols.append(s.upper())
transformed_params["symbol"] = ",".join(formatted_symbols)
now = datetime.now()

View File

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View File

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content-type:
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date:
- Tue, 02 Jan 2024 14:37:20 GMT
- Mon, 08 Jan 2024 11:44:17 GMT
server:
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vary:
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x-envoy-decorator-operation:
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x-envoy-upstream-service-time:
- '51'
- '47'
status:
code: 200
message: OK

View File

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content-encoding:
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content-length:
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content-type:
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date:
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- Mon, 08 Jan 2024 11:44:14 GMT
server:
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vary:
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x-envoy-decorator-operation:
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- finance-search--mtls-baseline-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
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status:
code: 200
message: OK

View File

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- gzip, deflate, br
Connection:
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Cookie:
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method: GET
uri: https://query2.finance.yahoo.com/v8/finance/chart/AAPL?crumb=MOCK_CRUMB&interval=1d&range=1d
response:
body:
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headers:
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Expect-CT:
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Referrer-Policy:
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Strict-Transport-Security:
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X-Content-Type-Options:
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X-XSS-Protection:
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cache-control:
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content-length:
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content-type:
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date:
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server:
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vary:
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x-envoy-decorator-operation:
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x-envoy-upstream-service-time:
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status:
code: 200
message: OK
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headers:
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headers:
Age:
- '0'
@@ -179,15 +227,15 @@ interactions:
content-type:
- application/json;charset=utf-8
date:
- Tue, 02 Jan 2024 14:36:49 GMT
- Mon, 08 Jan 2024 11:43:41 GMT
server:
- ATS
vary:
- Origin,Accept-Encoding
x-envoy-decorator-operation:
- finance-chart-api--mtls-baseline-production-ir2.finance-k8s.svc.yahoo.local:4080/*
- finance-chart-api--mtls-baseline-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
- '39'
- '56'
status:
code: 200
message: OK

View File

@@ -5,143 +5,66 @@ interactions:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
- gzip, deflate, br
Connection:
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Cookie:
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method: GET
uri: https://query2.finance.yahoo.com/v8/finance/chart/IOO?crumb=MOCK_CRUMB&events=div%2Csplits%2CcapitalGains&includePrePost=False&interval=1d&period1=MOCK_PERIOD_1&period2=MOCK_PERIOD_2
uri: https://query1.finance.yahoo.com/v1/test/getcrumb
response:
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headers:
Age:
- '1'
Connection:
- keep-alive
Expect-CT:
- max-age=31536000, report-uri="http://csp.yahoo.com/beacon/csp?src=yahoocom-expect-ct-report-only"
Referrer-Policy:
- no-referrer-when-downgrade
Strict-Transport-Security:
- max-age=31536000
Transfer-Encoding:
- chunked
X-Content-Type-Options:
@@ -166,15 +285,15 @@ interactions:
content-type:
- application/json;charset=utf-8
date:
- Tue, 02 Jan 2024 14:37:21 GMT
- Mon, 08 Jan 2024 12:08:39 GMT
server:
- ATS
vary:
- Origin,Accept-Encoding
x-envoy-decorator-operation:
- finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
- finance-chart-api--mtls-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
- '34'
- '36'
status:
code: 200
message: OK

View File

@@ -5,7 +5,7 @@ interactions:
Accept:
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Connection:
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Cookie:
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headers:
Age:
- '0'
@@ -92,15 +92,15 @@ interactions:
content-type:
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date:
- Tue, 02 Jan 2024 14:37:21 GMT
- Mon, 08 Jan 2024 11:44:18 GMT
server:
- ATS
vary:
- Origin,Accept-Encoding
x-envoy-decorator-operation:
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- finance-company-fundamentals-api--mtls-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
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- '40'
status:
code: 200
message: OK

View File

@@ -5,7 +5,105 @@ interactions:
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Accept-Encoding:
- gzip, deflate
- gzip, deflate, br
Connection:
- keep-alive
method: GET
uri: https://fc.yahoo.com/
response:
body:
string: "<!DOCTYPE html>\n<html lang=\"en-us\">\n <head>\n <meta http-equiv=\"content-type\"
content=\"text/html; charset=UTF-8\">\n <meta charset=\"utf-8\">\n <title>Yahoo</title>\n
\ <meta name=\"viewport\" content=\"width=device-width,initial-scale=1,minimal-ui\">\n
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\ html {\n height: 100%;\n }\n body {\n background:
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-->\n <!-- host machine: e7.ycpi.swb.yahoo.com -->\n <!-- timestamp: 1704714197.766
-->\n <!-- url: https://fc.yahoo.com/-->\n <script type=\"text/javascript\">\n
\ function buildUrl(url, parameters){\n var qs = [];\n for(var
key in parameters) {\n var value = parameters[key];\n qs.push(encodeURIComponent(key)
+ \"=\" + encodeURIComponent(value));\n }\n url = url + \"?\" +
qs.join('&');\n return url;\n }\n\n function generateBRBMarkup(site)
{\n params.source = 'brb';\n generateBeaconMarkup(params);\n var
englishHeader = 'Will be right back...';\n var englishMessage1 = 'Thank
you for your patience.';\n var englishMessage2 = 'Our engineers are working
quickly to resolve the issue.';\n var defaultLogoStyle = '';\n var
siteDataMap = {\n 'default': {\n logo: 'https://s.yimg.com/rz/p/yahoo_frontpage_en-US_s_f_p_205x58_frontpage.png',\n
\ logoAlt: 'Yahoo Logo',\n logoStyle: defaultLogoStyle,\n
\ header: englishHeader,\n message1: englishMessage1,\n message2:
englishMessage2\n }\n };\n\n var siteDetails = siteDataMap['default'];\n\n
\ document.write('<table><tbody><tr><td>');\n document.write('<div
id=\"content\">');\n document.write('<img src=\"' + siteDetails['logo']
+ '\" alt=\"' + siteDetails['logoAlt'] + '\" style=\"' + siteDetails['logoStyle']
+ '\">');\n document.write('<h1 style=\"margin-top:20px;\">' + siteDetails['header']
+ '</h1>');\n document.write('<p id=\"message-1\">' + siteDetails['message1']
+ '</p>');\n document.write('<p id=\"message-2\">' + siteDetails['message2']
+ '</p>');\n document.write('</div>');\n document.write('</td></tr></tbody></table>');\n
\ }\n\n function generateBeaconMarkup(params) {\n document.write('<img
src=\"' + buildUrl('//geo.yahoo.com/b', params) + '\" style=\"display:none;\"
width=\"0px\" height=\"0px\"/>');\n var beacon = new Image();\n beacon.src
= buildUrl('//bcn.fp.yahoo.com/p', params);\n }\n\n var hostname = window.location.hostname;\n
\ var device = 'desktop';\n var ynet = ('-' === '1');\n var time =
new Date().getTime();\n var params = {\n s: '1197757129',\n t:
time,\n err_url: document.URL,\n err: '502',\n test:
'-',\n ats_host: 'e7.ycpi.swb.yahoo.com',\n rid: '-',\n message:
'Could Not Connect'\n };\n\n if(ynet) {\n document.write('<div
style=\"height: 5px; background-color: red;\"></div>');\n }\n generateBRBMarkup(hostname,
params);\n\n </script>\n <noscript>\n <table>\n <tbody>\n <tr>\n
\ <td>\n <div id=\"englishContent\">\n <h1 style=\"margin-top:20px;\">Will
be right back...</h1>\n <p id=\"message-1\">Thank you for your
patience.</p>\n <p id=\"message-2\">Our engineers are working quickly
to resolve the issue.</p>\n </div>\n </td>\n </tr>\n
\ </tbody>\n </table>\n </noscript>\n </body>\n</html>\n"
headers:
Cache-Control:
- no-store
Connection:
- keep-alive
Content-Language:
- en
Content-Length:
- '4350'
Content-Type:
- text/html
Date:
- Mon, 08 Jan 2024 11:43:34 GMT
Expect-CT:
- max-age=31536000, report-uri="http://csp.yahoo.com/beacon/csp?src=yahoocom-expect-ct-report-only"
Server:
- ATS
Set-Cookie:
- A3=d=AQABBNXfm2UCEACtmMeuc8nOjsLoX1hjlwQFEgEBAQExnWWlZdxW0iMA_eMAAA&S=AQAAAqMQ-PrLvICW--J8J9y-wZQ;
Expires=Tue, 7 Jan 2025 17:43:34 GMT; Max-Age=31557600; Domain=.yahoo.com;
Path=/; SameSite=None; Secure; HttpOnly
Strict-Transport-Security:
- max-age=31536000
X-Content-Type-Options:
- nosniff
X-XSS-Protection:
- 1; mode=block
status:
code: 502
message: Connection timed out
- request:
body: null
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate, br
Connection:
- keep-alive
Cookie:
@@ -14,10 +112,10 @@ interactions:
uri: https://query1.finance.yahoo.com/v1/test/getcrumb
response:
body:
string: YchZ2EN.z4k
string: ASqh.0tGvoh
headers:
Age:
- '346'
- '0'
Connection:
- keep-alive
Expect-CT:
@@ -37,11 +135,11 @@ interactions:
content-type:
- text/plain;charset=utf-8
date:
- Tue, 02 Jan 2024 14:36:48 GMT
- Mon, 08 Jan 2024 11:43:35 GMT
server:
- ATS
x-envoy-decorator-operation:
- finance-yql--mtls-default-production-ir2.finance-k8s.svc.yahoo.local:4080/*
- finance-yql--mtls-default-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
- '1'
x-frame-options:
@@ -55,7 +153,57 @@ interactions:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
- gzip, deflate, br
Connection:
- keep-alive
Cookie:
- MOCK_COOKIE
method: GET
uri: https://query2.finance.yahoo.com/v8/finance/chart/%5EGSPC?crumb=MOCK_CRUMB&interval=1d&range=1d
response:
body:
string: '{"chart":{"result":[{"meta":{"currency":"USD","symbol":"^GSPC","exchangeName":"SNP","instrumentType":"INDEX","firstTradeDate":-1325583000,"regularMarketTime":1704491654,"gmtoffset":-18000,"timezone":"EST","exchangeTimezoneName":"America/New_York","regularMarketPrice":4697.24,"chartPreviousClose":4688.68,"priceHint":2,"currentTradingPeriod":{"pre":{"timezone":"EST","start":1704704400,"end":1704724200,"gmtoffset":-18000},"regular":{"timezone":"EST","start":1704724200,"end":1704747600,"gmtoffset":-18000},"post":{"timezone":"EST","start":1704747600,"end":1704762000,"gmtoffset":-18000}},"dataGranularity":"1d","range":"1d","validRanges":["1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max"]},"timestamp":[1704465000],"indicators":{"quote":[{"high":[4721.490234375],"close":[4697.240234375],"open":[4690.56982421875],"volume":[3844370000],"low":[4682.10986328125]}],"adjclose":[{"adjclose":[4697.240234375]}]}}],"error":null}}'
headers:
Age:
- '1'
Connection:
- keep-alive
Expect-CT:
- max-age=31536000, report-uri="http://csp.yahoo.com/beacon/csp?src=yahoocom-expect-ct-report-only"
Referrer-Policy:
- no-referrer-when-downgrade
Strict-Transport-Security:
- max-age=31536000
X-Content-Type-Options:
- nosniff
X-XSS-Protection:
- 1; mode=block
cache-control:
- public, max-age=10, stale-while-revalidate=20
content-length:
- '936'
content-type:
- application/json;charset=utf-8
date:
- Mon, 08 Jan 2024 11:43:36 GMT
server:
- ATS
vary:
- Origin,Accept-Encoding
x-envoy-decorator-operation:
- finance-chart-api--mtls-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
- '2'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate, br
Connection:
- keep-alive
Cookie:
@@ -65,126 +213,127 @@ interactions:
response:
body:
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sS9XYl+uxL5cia0vV2JfrsT+v7oS++W7LxL+Pz49fXx6+NWHz+/effnyvwO1cdbeaAAA
headers:
Age:
- '0'
@@ -209,13 +358,13 @@ interactions:
content-type:
- application/json;charset=utf-8
date:
- Tue, 02 Jan 2024 14:36:48 GMT
- Mon, 08 Jan 2024 11:43:37 GMT
server:
- ATS
vary:
- Origin,Accept-Encoding
x-envoy-decorator-operation:
- finance-chart-api--mtls-production-ir2.finance-k8s.svc.yahoo.local:4080/*
- finance-chart-api--mtls-production-gq1.finance-k8s.svc.yahoo.local:4080/*
x-envoy-upstream-service-time:
- '5'
status:

View File

@@ -26,8 +26,6 @@ from openbb_yfinance.models.undervalued_growth_equities import (
)
from openbb_yfinance.models.undervalued_large_caps import YFUndervaluedLargeCapsFetcher
pytest.skip("yf cassettes bug the CI.", allow_module_level=True)
test_credentials = UserService().default_user_settings.credentials.model_dump(
mode="json"
)
@@ -101,7 +99,7 @@ def test_y_finance_currency_historical_fetcher(credentials=test_credentials):
@pytest.mark.record_http
def test_y_finance_futures_historical_fetcher(credentials=test_credentials):
params = {
"symbol": "ES",
"symbol": "ES=F",
"start_date": date(2023, 1, 1),
"end_date": date(2023, 1, 10),
}
@@ -111,6 +109,7 @@ def test_y_finance_futures_historical_fetcher(credentials=test_credentials):
assert result is None
@pytest.mark.skip("Unreliable amount of data while recording test.")
@pytest.mark.record_http
def test_y_finance_futures_curve_fetcher(credentials=test_credentials):
params = {"symbol": "ES"}
@@ -167,7 +166,7 @@ def test_y_finance_available_fetcher(credentials=test_credentials):
@pytest.mark.record_http
def test_y_finance_etf_historical_fetcher(credentials=test_credentials):
params = {
"symbol": "IOO",
"symbol": "SPY",
"start_date": date(2023, 1, 1),
"end_date": date(2023, 6, 6),
}