diff --git a/openbb_platform/core/openbb_core/provider/standard_models/equity_historical.py b/openbb_platform/core/openbb_core/provider/standard_models/equity_historical.py index 1b2bf5e8b0f..d7463769c7c 100644 --- a/openbb_platform/core/openbb_core/provider/standard_models/equity_historical.py +++ b/openbb_platform/core/openbb_core/provider/standard_models/equity_historical.py @@ -8,7 +8,7 @@ from datetime import ( from typing import List, Optional, Set, Union from dateutil import parser -from pydantic import Field, PositiveFloat, field_validator +from pydantic import Field, field_validator from openbb_core.provider.abstract.data import Data from openbb_core.provider.abstract.query_params import QueryParams @@ -47,17 +47,24 @@ class EquityHistoricalQueryParams(QueryParams): class EquityHistoricalData(Data): """Equity Historical Price Data.""" - date: datetime = Field(description=DATA_DESCRIPTIONS.get("date", "")) - open: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("open", "")) - high: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("high", "")) - low: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("low", "")) - close: PositiveFloat = Field(description=DATA_DESCRIPTIONS.get("close", "")) - volume: Union[float, int] = Field(description=DATA_DESCRIPTIONS.get("volume", "")) - vwap: Optional[PositiveFloat] = Field( + date: Union[dateType, datetime] = Field( + description=DATA_DESCRIPTIONS.get("date", "") + ) + open: float = Field(description=DATA_DESCRIPTIONS.get("open", "")) + high: float = Field(description=DATA_DESCRIPTIONS.get("high", "")) + low: float = Field(description=DATA_DESCRIPTIONS.get("low", "")) + close: float = Field(description=DATA_DESCRIPTIONS.get("close", "")) + volume: Optional[Union[float, int]] = Field( + default=None, description=DATA_DESCRIPTIONS.get("volume", "") + ) + vwap: Optional[float] = Field( default=None, description=DATA_DESCRIPTIONS.get("vwap", "") ) @field_validator("date", mode="before", check_fields=False) def date_validate(cls, v): # pylint: disable=E0213 """Return formatted datetime.""" - return parser.isoparse(str(v)) + v = parser.isoparse(str(v)) + if v.hour == 0 and v.minute == 0: + return v.date() + return v diff --git a/openbb_platform/core/openbb_core/provider/standard_models/european_index_constituents.py b/openbb_platform/core/openbb_core/provider/standard_models/european_index_constituents.py deleted file mode 100644 index 94c00eff908..00000000000 --- a/openbb_platform/core/openbb_core/provider/standard_models/european_index_constituents.py +++ /dev/null @@ -1,50 +0,0 @@ -"""European Index Constituents Standard Model.""" - - -from typing import List, Set, Union - -from pydantic import Field, field_validator - -from openbb_core.provider.abstract.data import Data -from openbb_core.provider.abstract.query_params import QueryParams -from openbb_core.provider.utils.descriptions import ( - DATA_DESCRIPTIONS, - QUERY_DESCRIPTIONS, -) - - -class EuropeanIndexConstituentsQueryParams(QueryParams): - """European Index Constituents Query.""" - - symbol: str = Field(description=QUERY_DESCRIPTIONS.get("symbol", "")) - - @field_validator("symbol", mode="before", check_fields=False) - def upper_symbol(cls, v: Union[str, List[str], Set[str]]): - """Convert symbol to uppercase.""" - if isinstance(v, str): - return v.upper() - return ",".join([symbol.upper() for symbol in list(v)]) - - -class EuropeanIndexConstituentsData(Data): - """European Index Constituents Data.""" - - symbol: str = Field( - description=DATA_DESCRIPTIONS.get("symbol", "") - + " The symbol is the constituent company in the index." - ) - price: float = Field( - description="Current price of the constituent company in the index." - ) - open: float = Field(description=DATA_DESCRIPTIONS.get("open", "")) - high: float = Field(description=DATA_DESCRIPTIONS.get("high", "")) - low: float = Field(description=DATA_DESCRIPTIONS.get("low", "")) - close: float = Field(description=DATA_DESCRIPTIONS.get("close", "")) - volume: float = Field(description=DATA_DESCRIPTIONS.get("volume", "")) - - @field_validator("symbol", mode="before", check_fields=False) - def upper_symbol(cls, v: Union[str, List[str], Set[str]]): - """Convert symbol to uppercase.""" - if isinstance(v, str): - return v.upper() - return ",".join([symbol.upper() for symbol in list(v)]) diff --git a/openbb_platform/core/openbb_core/provider/standard_models/european_indices.py b/openbb_platform/core/openbb_core/provider/standard_models/european_indices.py deleted file mode 100644 index aef7d5f7f4f..00000000000 --- a/openbb_platform/core/openbb_core/provider/standard_models/european_indices.py +++ /dev/null @@ -1,44 +0,0 @@ -"""European Indices Standard Model.""" - - -from datetime import ( - date as dateType, - datetime, -) -from typing import List, Optional, Set, Union - -from pydantic import Field, field_validator - -from openbb_core.provider.abstract.data import Data -from openbb_core.provider.abstract.query_params import QueryParams -from openbb_core.provider.utils.descriptions import ( - DATA_DESCRIPTIONS, - QUERY_DESCRIPTIONS, -) - - -class EuropeanIndicesQueryParams(QueryParams): - """European Indices Query.""" - - symbol: str = Field(description=QUERY_DESCRIPTIONS.get("symbol", "")) - start_date: Optional[dateType] = Field( - description=QUERY_DESCRIPTIONS.get("start_date", ""), default=None - ) - end_date: Optional[dateType] = Field( - description=QUERY_DESCRIPTIONS.get("end_date", ""), default=None - ) - - @field_validator("symbol", mode="before", check_fields=False) - @classmethod - def upper_symbol(cls, v: Union[str, List[str], Set[str]]): - """Convert symbol to uppercase.""" - if isinstance(v, str): - return v.upper() - return ",".join([symbol.upper() for symbol in list(v)]) - - -class EuropeanIndicesData(Data): - """European Indices Data.""" - - date: datetime = Field(description=DATA_DESCRIPTIONS.get("date", "")) - close: float = Field(description=DATA_DESCRIPTIONS.get("close", "")) diff --git a/openbb_platform/core/openbb_core/provider/standard_models/index_constituents.py b/openbb_platform/core/openbb_core/provider/standard_models/index_constituents.py index 8b336eebc03..a29ca427c95 100644 --- a/openbb_platform/core/openbb_core/provider/standard_models/index_constituents.py +++ b/openbb_platform/core/openbb_core/provider/standard_models/index_constituents.py @@ -1,8 +1,7 @@ """Index Constituents Standard Model.""" -from datetime import date -from typing import List, Literal, Optional, Set, Union +from typing import List, Optional, Set, Union from pydantic import Field, field_validator @@ -14,9 +13,8 @@ from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS class IndexConstituentsQueryParams(QueryParams): """Index Constituents Query.""" - index: Literal["nasdaq", "sp500", "dowjones"] = Field( - default="dowjones", - description="Index for which we want to fetch the constituents.", + index: str = Field( + description="Index to fetch the constituents of.", ) @@ -24,27 +22,8 @@ class IndexConstituentsData(Data): """Index Constituents Data.""" symbol: str = Field(description=DATA_DESCRIPTIONS.get("symbol", "")) - name: str = Field(description="Name of the constituent company in the index.") - sector: str = Field( - description="Sector the constituent company in the index belongs to." - ) - sub_sector: Optional[str] = Field( - default=None, - description="Sub-sector the constituent company in the index belongs to.", - ) - headquarter: Optional[str] = Field( - default=None, - description="Location of the headquarter of the constituent company in the index.", - ) - date_first_added: Optional[Union[date, str]] = Field( - default=None, description="Date the constituent company was added to the index." - ) - cik: int = Field( - description=DATA_DESCRIPTIONS.get("cik", ""), - ) - founded: Optional[Union[date, str]] = Field( - default=None, - description="Founding year of the constituent company in the index.", + name: Optional[str] = Field( + default=None, description="Name of the constituent company in the index." ) @field_validator("symbol", mode="before", check_fields=False) diff --git a/openbb_platform/core/openbb_core/provider/standard_models/index_snapshots.py b/openbb_platform/core/openbb_core/provider/standard_models/index_snapshots.py index bf5fac3a991..faba0cf1f4c 100644 --- a/openbb_platform/core/openbb_core/provider/standard_models/index_snapshots.py +++ b/openbb_platform/core/openbb_core/provider/standard_models/index_snapshots.py @@ -1,6 +1,6 @@ """Index Snapshots Standard Model.""" -from typing import Literal, Optional +from typing import Optional from pydantic import Field @@ -12,8 +12,8 @@ from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS class IndexSnapshotsQueryParams(QueryParams): """Index Snapshots Query.""" - region: Optional[Literal["US", "EU"]] = Field( - description="The region to return. Currently supports US and EU.", default="US" + region: Optional[str] = Field( + default=None, description="The region to return data for - i.e. 'us' or 'eu'." ) @@ -38,10 +38,16 @@ class IndexSnapshotsData(Data): close: Optional[float] = Field( default=None, description=DATA_DESCRIPTIONS.get("close", "") ) + volume: Optional[int] = Field( + default=None, description=DATA_DESCRIPTIONS.get("volume", "") + ) prev_close: Optional[float] = Field( - default=None, description="Previous closing price of the index." + default=None, description=DATA_DESCRIPTIONS.get("prev_close", "") + ) + change: Optional[float] = Field( + default=None, description="Change in value of the index." ) - change: Optional[float] = Field(default=None, description="Change of the index.") change_percent: Optional[float] = Field( - default=None, description="Change percent of the index." + default=None, + description="Change, in normalized percentage points, of the index.", ) diff --git a/openbb_platform/core/openbb_core/provider/standard_models/options_chains.py b/openbb_platform/core/openbb_core/provider/standard_models/options_chains.py index 6eec3e1bbe1..a0a9ef7e25b 100644 --- a/openbb_platform/core/openbb_core/provider/standard_models/options_chains.py +++ b/openbb_platform/core/openbb_core/provider/standard_models/options_chains.py @@ -1,6 +1,9 @@ """Options Chains Standard Model.""" -from datetime import date as dateType +from datetime import ( + date as dateType, + datetime, +) from typing import List, Optional, Set, Union from pydantic import Field, field_validator @@ -18,6 +21,7 @@ class OptionsChainsQueryParams(QueryParams): symbol: str = Field(description=QUERY_DESCRIPTIONS.get("symbol", "")) + @classmethod @field_validator("symbol", mode="before", check_fields=False) def upper_symbol(cls, v: Union[str, List[str], Set[str]]): """Convert symbol to uppercase.""" @@ -29,30 +33,48 @@ class OptionsChainsQueryParams(QueryParams): class OptionsChainsData(Data): """Options Chains Data.""" - contract_symbol: str = Field(description="Contract symbol for the option.") symbol: Optional[str] = Field( description=DATA_DESCRIPTIONS.get("symbol", "") - + " Here its the underlying symbol for the option.", + + " Here, it is the underlying symbol for the option.", default=None, ) + contract_symbol: str = Field(description="Contract symbol for the option.") + eod_date: Optional[dateType] = Field( + default=None, description="Date for which the options chains are returned." + ) expiration: dateType = Field(description="Expiration date of the contract.") strike: float = Field(description="Strike price of the contract.") option_type: str = Field(description="Call or Put.") - eod_date: Optional[dateType] = Field( - default=None, description="Date for which the options chains are returned." + open_interest: Optional[int] = Field( + default=None, description="Open interest on the contract." ) - close: Optional[float] = Field( - default=None, description=DATA_DESCRIPTIONS.get("close", "") - ) - close_bid: Optional[float] = Field( - default=None, description="The closing bid price for the option that day." - ) - close_ask: Optional[float] = Field( - default=None, description="The closing ask price for the option that day." - ) - volume: Optional[float] = Field( + volume: Optional[int] = Field( default=None, description=DATA_DESCRIPTIONS.get("volume", "") ) + theoretical_price: Optional[float] = Field( + default=None, description="Theoretical value of the option." + ) + last_trade_price: Optional[float] = Field( + default=None, description="Last trade price of the option." + ) + tick: Optional[str] = Field( + default=None, description="Whether the last tick was up or down in price." + ) + bid: Optional[float] = Field( + default=None, description="Current bid price for the option." + ) + bid_size: Optional[int] = Field( + default=None, description="Bid size for the option." + ) + ask: Optional[float] = Field( + default=None, description="Current ask price for the option." + ) + ask_size: Optional[int] = Field( + default=None, description="Ask size for the option." + ) + mark: Optional[float] = Field( + default=None, description="The mid-price between the latest bid and ask." + ) open: Optional[float] = Field( default=None, description=DATA_DESCRIPTIONS.get("open", "") ) @@ -62,30 +84,64 @@ class OptionsChainsData(Data): open_ask: Optional[float] = Field( default=None, description="The opening ask price for the option that day." ) - open_interest: Optional[float] = Field( - default=None, description="Open interest on the contract." - ) high: Optional[float] = Field( default=None, description=DATA_DESCRIPTIONS.get("high", "") ) - low: Optional[float] = Field( - default=None, description=DATA_DESCRIPTIONS.get("low", "") - ) - mark: Optional[float] = Field( - default=None, description="The mid-price between the latest bid-ask spread." - ) - ask_high: Optional[float] = Field( - default=None, description="The highest ask price for the option that day." - ) - ask_low: Optional[float] = Field( - default=None, description="The lowest ask price for the option that day." - ) bid_high: Optional[float] = Field( default=None, description="The highest bid price for the option that day." ) + ask_high: Optional[float] = Field( + default=None, description="The highest ask price for the option that day." + ) + low: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("low", "") + ) bid_low: Optional[float] = Field( default=None, description="The lowest bid price for the option that day." ) + ask_low: Optional[float] = Field( + default=None, description="The lowest ask price for the option that day." + ) + close: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("close", "") + ) + close_size: Optional[int] = Field( + default=None, description="The closing trade size for the option that day." + ) + close_time: Optional[datetime] = Field( + default=None, + description="The time of the closing price for the option that day.", + ) + close_bid: Optional[float] = Field( + default=None, description="The closing bid price for the option that day." + ) + close_bid_size: Optional[int] = Field( + default=None, description="The closing bid size for the option that day." + ) + close_bid_time: Optional[datetime] = Field( + default=None, + description="The time of the bid closing price for the option that day.", + ) + close_ask: Optional[float] = Field( + default=None, description="The closing ask price for the option that day." + ) + close_ask_size: Optional[int] = Field( + default=None, description="The closing ask size for the option that day." + ) + close_ask_time: Optional[datetime] = Field( + default=None, + description="The time of the ask closing price for the option that day.", + ) + prev_close: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("prev_close", "") + ) + change: Optional[float] = Field( + default=None, description="The change in the price of the option." + ) + change_percent: Optional[float] = Field( + default=None, + description="Change, in normalizezd percentage points, of the option.", + ) implied_volatility: Optional[float] = Field( default=None, description="Implied volatility of the option." ) @@ -93,10 +149,14 @@ class OptionsChainsData(Data): gamma: Optional[float] = Field(default=None, description="Gamma of the option.") theta: Optional[float] = Field(default=None, description="Theta of the option.") vega: Optional[float] = Field(default=None, description="Vega of the option.") + rho: Optional[float] = Field(default=None, description="Rho of the option.") - @field_validator("date", mode="before", check_fields=False) - def upper_symbol(cls, v: Union[str, List[str], Set[str]]): - """Convert symbol to uppercase.""" + @field_validator("expiration", mode="before", check_fields=False) + @classmethod + def date_validate(cls, v): # pylint: disable=E0213 + """Return the datetime object from the date string""" + if isinstance(v, datetime): + return datetime.strftime(v, "%Y-%m-%d") if isinstance(v, str): - return v.upper() - return ",".join([symbol.upper() for symbol in list(v)]) + return datetime.strptime(v, "%Y-%m-%d") + return v diff --git a/openbb_platform/extensions/derivatives/integration/test_derivatives_api.py b/openbb_platform/extensions/derivatives/integration/test_derivatives_api.py index 9132ab86138..15941af3847 100644 --- a/openbb_platform/extensions/derivatives/integration/test_derivatives_api.py +++ b/openbb_platform/extensions/derivatives/integration/test_derivatives_api.py @@ -24,7 +24,7 @@ def headers(): "params", [ ({"provider": "intrinio", "symbol": "AAPL", "date": "2023-01-25"}), - ({"provider": "cboe", "symbol": "AAPL"}), + ({"provider": "cboe", "symbol": "AAPL", "use_cache": False}), ], ) @pytest.mark.integration @@ -86,7 +86,7 @@ def test_derivatives_futures_historical(params, headers): @parametrize( "params", [ - ({"provider": "cboe", "symbol": "VX", "date": "2023-01-25"}), + ({"provider": "cboe", "symbol": "VX", "date": None}), ({"provider": "yfinance", "symbol": "ES", "date": "2023-08-01"}), ], ) diff --git a/openbb_platform/extensions/derivatives/integration/test_derivatives_python.py b/openbb_platform/extensions/derivatives/integration/test_derivatives_python.py index ed967cbc5cc..2d86166fc9f 100644 --- a/openbb_platform/extensions/derivatives/integration/test_derivatives_python.py +++ b/openbb_platform/extensions/derivatives/integration/test_derivatives_python.py @@ -20,9 +20,8 @@ def obb(pytestconfig): @parametrize( "params", [ - ({"symbol": "AAPL"}), ({"provider": "intrinio", "symbol": "AAPL", "date": "2023-01-25"}), - ({"provider": "cboe", "symbol": "AAPL"}), + ({"provider": "cboe", "symbol": "AAPL", "use_cache": False}), ], ) @pytest.mark.integration @@ -75,7 +74,7 @@ def test_derivatives_futures_historical(params, obb): @parametrize( "params", [ - ({"symbol": "VX", "date": "2023-01-25", "provider": "cboe"}), + ({"symbol": "VX", "provider": "cboe", "date": None}), ({"provider": "yfinance", "symbol": "ES", "date": "2023-08-01"}), ], ) diff --git a/openbb_platform/extensions/equity/integration/test_equity_api.py b/openbb_platform/extensions/equity/integration/test_equity_api.py index cef2762a0d7..005ff9f0bbb 100644 --- a/openbb_platform/extensions/equity/integration/test_equity_api.py +++ b/openbb_platform/extensions/equity/integration/test_equity_api.py @@ -852,6 +852,7 @@ def test_equity_compare_peers(params, headers): "start_date": "2023-01-01", "end_date": "2023-01-02", "interval": "1m", + "use_cache": False, } ), ( @@ -861,6 +862,7 @@ def test_equity_compare_peers(params, headers): "start_date": "2023-01-01", "end_date": "2023-06-06", "interval": "1d", + "use_cache": False, } ), ( @@ -1087,7 +1089,7 @@ def test_equity_fundamental_latest_attributes(params, headers): @parametrize( "params", [ - ({"query": "AAPl", "is_symbol": True, "provider": "cboe"}), + ({"query": "AAPl", "is_symbol": True, "provider": "cboe", "use_cache": False}), ({"query": "Apple", "provider": "sec", "use_cache": False, "is_fund": False}), ({"query": "", "provider": "nasdaq", "use_cache": False, "is_etf": True}), ({"query": "gold", "provider": "intrinio", "active": True, "limit": 100}), @@ -1147,6 +1149,7 @@ def test_equity_screener(params, headers): [ ({"source": "iex", "provider": "intrinio", "symbol": "AAPL"}), ({"symbol": "AAPL", "provider": "fmp"}), + ({"symbol": "AAPL", "provider": "cboe", "use_cache": False}), ({"symbol": "AAPL", "provider": "yfinance"}), ], ) diff --git a/openbb_platform/extensions/equity/integration/test_equity_python.py b/openbb_platform/extensions/equity/integration/test_equity_python.py index dee4e7ffa69..76b3e87c61b 100644 --- a/openbb_platform/extensions/equity/integration/test_equity_python.py +++ b/openbb_platform/extensions/equity/integration/test_equity_python.py @@ -806,6 +806,7 @@ def test_equity_compare_peers(params, obb): "start_date": "2023-01-01", "end_date": "2023-01-02", "interval": "1m", + "use_cache": False, } ), ( @@ -815,6 +816,7 @@ def test_equity_compare_peers(params, obb): "start_date": "2023-01-01", "end_date": "2023-06-06", "interval": "1d", + "use_cache": False, } ), ( @@ -1037,7 +1039,7 @@ def test_equity_fundamental_latest_attributes(params, obb): @parametrize( "params", [ - ({"query": "AAPL", "is_symbol": True, "provider": "cboe"}), + ({"query": "AAPL", "is_symbol": True, "provider": "cboe", "use_cache": False}), ({"query": "Apple", "provider": "sec", "use_cache": False, "is_fund": False}), ({"query": "", "provider": "nasdaq", "use_cache": False, "is_etf": True}), ({"query": "gold", "provider": "intrinio", "active": True, "limit": 100}), @@ -1092,6 +1094,7 @@ def test_equity_screener(params, obb): ({"symbol": "AAPL"}), ({"source": "iex", "provider": "intrinio", "symbol": "AAPL"}), ({"symbol": "AAPL", "provider": "fmp"}), + ({"symbol": "AAPL", "provider": "cboe", "use_cache": False}), ({"symbol": "AAPL", "provider": "yfinance"}), ], ) diff --git a/openbb_platform/extensions/index/integration/test_index_api.py b/openbb_platform/extensions/index/integration/test_index_api.py index 8bf77655bbc..d8094ad8f9a 100644 --- a/openbb_platform/extensions/index/integration/test_index_api.py +++ b/openbb_platform/extensions/index/integration/test_index_api.py @@ -21,7 +21,10 @@ def headers(): @parametrize( "params", - [({"index": "dowjones", "provider": "fmp"})], + [ + ({"index": "dowjones", "provider": "fmp"}), + ({"index": "BUKBUS", "provider": "cboe"}), + ], ) @pytest.mark.integration def test_index_constituents(params, headers): @@ -53,6 +56,7 @@ def test_index_constituents(params, headers): "symbol": "AAVE100", "start_date": "2023-01-01", "end_date": "2023-06-06", + "use_cache": False, } ), ( @@ -62,121 +66,7 @@ def test_index_constituents(params, headers): "symbol": "AAVE100", "start_date": "2023-01-01", "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1min", - "provider": "fmp", - "symbol": "^DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "timeseries": 1, - "sort": "desc", - } - ), - ( - { - "interval": "1day", - "provider": "fmp", - "symbol": "^DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "timeseries": 1, - "sort": "desc", - } - ), - ( - { - "timespan": "minute", - "sort": "desc", - "limit": 49999, - "adjusted": True, - "multiplier": 1, - "provider": "polygon", - "symbol": "NDX", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "timespan": "day", - "sort": "desc", - "limit": 49999, - "adjusted": True, - "multiplier": 1, - "provider": "polygon", - "symbol": "NDX", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1d", - "period": "max", - "prepost": True, - "rounding": True, - "provider": "yfinance", - "symbol": "DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "provider": "intrinio", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "symbol": "$DJI", - "tag": "level", - "sort": "desc", - "limit": 100, - "type": None, - } - ), - ], -) -@pytest.mark.integration -def test_index_market(params, headers): - params = {p: v for p, v in params.items() if v} - - query_str = get_querystring(params, []) - url = f"http://0.0.0.0:8000/api/v1/index/market?{query_str}" - result = requests.get(url, headers=headers, timeout=20) - assert isinstance(result, requests.Response) - assert result.status_code == 200 - - -@parametrize( - "params", - [ - ( - { - "symbol": "^DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "provider": "fmp", - "sort": "desc", - } - ), - ( - { - "interval": "1m", - "provider": "cboe", - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1d", - "provider": "cboe", - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", + "use_cache": False, } ), ( @@ -269,17 +159,77 @@ def test_index_price_historical(params, headers): [ ( { - "symbol": "BUKBUS", + "symbol": "^DJI", "start_date": "2023-01-01", "end_date": "2023-06-06", - "provider": "cboe", + "provider": "fmp", + "sort": "desc", } ), ( { "interval": "1m", "provider": "cboe", - "symbol": "BUKBUS", + "symbol": "AAVE100", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "use_cache": True, + } + ), + ( + { + "interval": "1d", + "provider": "cboe", + "symbol": "AAVE100", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "use_cache": False, + } + ), + ( + { + "interval": "1min", + "provider": "fmp", + "symbol": "^DJI", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "timeseries": 1, + "sort": "desc", + } + ), + ( + { + "interval": "1day", + "provider": "fmp", + "symbol": "^DJI", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "timeseries": 1, + "sort": "desc", + } + ), + ( + { + "timespan": "minute", + "sort": "desc", + "limit": 49999, + "adjusted": True, + "multiplier": 1, + "provider": "polygon", + "symbol": "NDX", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + } + ), + ( + { + "timespan": "day", + "sort": "desc", + "limit": 49999, + "adjusted": True, + "multiplier": 1, + "provider": "polygon", + "symbol": "NDX", "start_date": "2023-01-01", "end_date": "2023-06-06", } @@ -287,36 +237,36 @@ def test_index_price_historical(params, headers): ( { "interval": "1d", - "provider": "cboe", - "symbol": "BUKBUS", + "period": "max", + "prepost": True, + "rounding": True, + "provider": "yfinance", + "symbol": "DJI", "start_date": "2023-01-01", "end_date": "2023-06-06", } ), + ( + { + "provider": "intrinio", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "symbol": "$DJI", + "tag": "level", + "sort": "desc", + "limit": 100, + "type": None, + } + ), ], ) @pytest.mark.integration -def test_index_european(params, headers): +def test_index_market(params, headers): params = {p: v for p, v in params.items() if v} query_str = get_querystring(params, []) - url = f"http://0.0.0.0:8000/api/v1/index/european?{query_str}" - result = requests.get(url, headers=headers, timeout=10) - assert isinstance(result, requests.Response) - assert result.status_code == 200 - - -@parametrize( - "params", - [({"symbol": "BUKBUS", "provider": "cboe"})], -) -@pytest.mark.integration -def test_index_european_constituents(params, headers): - params = {p: v for p, v in params.items() if v} - - query_str = get_querystring(params, []) - url = f"http://0.0.0.0:8000/api/v1/index/european_constituents?{query_str}" - result = requests.get(url, headers=headers, timeout=10) + url = f"http://0.0.0.0:8000/api/v1/index/market?{query_str}" + result = requests.get(url, headers=headers, timeout=20) assert isinstance(result, requests.Response) assert result.status_code == 200 @@ -324,7 +274,7 @@ def test_index_european_constituents(params, headers): @parametrize( "params", [ - ({"europe": True, "provider": "cboe"}), + ({"provider": "cboe", "use_cache": False}), ({"provider": "fmp"}), ({"provider": "yfinance"}), ], @@ -343,8 +293,7 @@ def test_index_available(params, headers): @parametrize( "params", [ - ({"query": "D", "is_symbol": True, "provider": "cboe"}), - ({"europe": True, "provider": "cboe", "query": "A", "is_symbol": False}), + ({"query": "D", "is_symbol": True, "provider": "cboe", "use_cache": False}), ], ) @pytest.mark.integration @@ -360,7 +309,7 @@ def test_index_search(params, headers): @parametrize( "params", - [({"provider": "cboe", "region": "US"})], + [({"provider": "cboe", "region": "us"})], ) @pytest.mark.integration def test_index_snapshots(params, headers): diff --git a/openbb_platform/extensions/index/integration/test_index_python.py b/openbb_platform/extensions/index/integration/test_index_python.py index d5365cb23f1..b8073621a7c 100644 --- a/openbb_platform/extensions/index/integration/test_index_python.py +++ b/openbb_platform/extensions/index/integration/test_index_python.py @@ -21,7 +21,8 @@ def obb(pytestconfig): # pylint: disable=inconsistent-return-statements @parametrize( "params", [ - ({"index": "dowjones"}), + ({"index": "dowjones", "provider": "fmp"}), + ({"index": "BUKBUS", "provider": "cboe"}), ], ) @pytest.mark.integration @@ -35,123 +36,6 @@ def test_index_constituents(params, obb): @parametrize( "params", [ - ( - { - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1m", - "provider": "cboe", - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1d", - "provider": "cboe", - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1min", - "provider": "fmp", - "symbol": "^DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "timeseries": 1, - "sort": "desc", - } - ), - ( - { - "interval": "1day", - "provider": "fmp", - "symbol": "^DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "timeseries": 1, - "sort": "desc", - } - ), - ( - { - "timespan": "minute", - "sort": "desc", - "limit": 49999, - "adjusted": True, - "multiplier": 1, - "provider": "polygon", - "symbol": "NDX", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "timespan": "day", - "sort": "desc", - "limit": 49999, - "adjusted": True, - "multiplier": 1, - "provider": "polygon", - "symbol": "NDX", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "interval": "1d", - "period": "max", - "prepost": True, - "rounding": True, - "provider": "yfinance", - "symbol": "DJI", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), - ( - { - "provider": "intrinio", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - "symbol": "$DJI", - "tag": "level", - "sort": "desc", - "limit": 100, - "type": None, - } - ), - ], -) -@pytest.mark.integration -def test_index_market(params, obb): - result = obb.index.market(**params) - assert result - assert isinstance(result, OBBject) - assert len(result.results) > 0 - - -@parametrize( - "params", - [ - ( - { - "symbol": "AAVE100", - "start_date": "2023-01-01", - "end_date": "2023-06-06", - } - ), ( { "interval": "1m", @@ -159,6 +43,7 @@ def test_index_market(params, obb): "symbol": "AAVE100", "start_date": "2023-01-01", "end_date": "2023-06-06", + "use_cache": False, } ), ( @@ -168,6 +53,7 @@ def test_index_market(params, obb): "symbol": "AAVE100", "start_date": "2023-01-01", "end_date": "2023-06-06", + "use_cache": False, } ), ( @@ -257,7 +143,7 @@ def test_index_price_historical(params, obb): [ ( { - "symbol": "BUKBUS", + "symbol": "AAVE100", "start_date": "2023-01-01", "end_date": "2023-06-06", } @@ -266,7 +152,66 @@ def test_index_price_historical(params, obb): { "interval": "1m", "provider": "cboe", - "symbol": "BUKBUS", + "symbol": "AAVE100", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "use_cache": True, + } + ), + ( + { + "interval": "1d", + "provider": "cboe", + "symbol": "AAVE100", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "use_cache": False, + } + ), + ( + { + "interval": "1min", + "provider": "fmp", + "symbol": "^DJI", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "timeseries": 1, + "sort": "desc", + } + ), + ( + { + "interval": "1day", + "provider": "fmp", + "symbol": "^DJI", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "timeseries": 1, + "sort": "desc", + } + ), + ( + { + "timespan": "minute", + "sort": "desc", + "limit": 49999, + "adjusted": True, + "multiplier": 1, + "provider": "polygon", + "symbol": "NDX", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + } + ), + ( + { + "timespan": "day", + "sort": "desc", + "limit": 49999, + "adjusted": True, + "multiplier": 1, + "provider": "polygon", + "symbol": "NDX", "start_date": "2023-01-01", "end_date": "2023-06-06", } @@ -274,31 +219,32 @@ def test_index_price_historical(params, obb): ( { "interval": "1d", - "provider": "cboe", - "symbol": "BUKBUS", + "period": "max", + "prepost": True, + "rounding": True, + "provider": "yfinance", + "symbol": "DJI", "start_date": "2023-01-01", "end_date": "2023-06-06", } ), + ( + { + "provider": "intrinio", + "start_date": "2023-01-01", + "end_date": "2023-06-06", + "symbol": "$DJI", + "tag": "level", + "sort": "desc", + "limit": 100, + "type": None, + } + ), ], ) @pytest.mark.integration -def test_index_european(params, obb): - result = obb.index.european(**params) - assert result - assert isinstance(result, OBBject) - assert len(result.results) > 0 - - -@parametrize( - "params", - [ - ({"symbol": "BUKBUS", "provider": "cboe"}), - ], -) -@pytest.mark.integration -def test_index_european_constituents(params, obb): - result = obb.index.european_constituents(**params) +def test_index_market(params, obb): + result = obb.index.market(**params) assert result assert isinstance(result, OBBject) assert len(result.results) > 0 @@ -308,7 +254,7 @@ def test_index_european_constituents(params, obb): "params", [ ({}), - ({"europe": True, "provider": "cboe"}), + ({"provider": "cboe", "use_cache": False}), ({"provider": "fmp"}), ({"provider": "yfinance"}), ], @@ -324,8 +270,7 @@ def test_index_available(params, obb): @parametrize( "params", [ - ({"query": "D", "is_symbol": True}), - ({"europe": True, "provider": "cboe", "query": "A", "is_symbol": False}), + ({"query": "D", "is_symbol": True, "use_cache": False, "provider": "cboe"}), ], ) @pytest.mark.integration @@ -339,7 +284,7 @@ def test_index_search(params, obb): @parametrize( "params", [ - ({"region": "US"}), + ({"region": "us", "provider": "cboe"}), ], ) @pytest.mark.integration diff --git a/openbb_platform/extensions/index/openbb_index/index_router.py b/openbb_platform/extensions/index/openbb_index/index_router.py index 6fc329d310d..829af3c59a6 100644 --- a/openbb_platform/extensions/index/openbb_index/index_router.py +++ b/openbb_platform/extensions/index/openbb_index/index_router.py @@ -33,17 +33,6 @@ async def market( return await OBBject.from_query(Query(**locals())) -@router.command(model="EuropeanIndices") -async def european( - cc: CommandContext, - provider_choices: ProviderChoices, - standard_params: StandardParams, - extra_params: ExtraParams, -) -> OBBject[BaseModel]: - """Historical European Indices.""" - return await OBBject.from_query(Query(**locals())) - - @router.command(model="IndexConstituents") async def constituents( cc: CommandContext, @@ -55,17 +44,6 @@ async def constituents( return await OBBject.from_query(Query(**locals())) -@router.command(model="EuropeanIndexConstituents") -async def european_constituents( - cc: CommandContext, - provider_choices: ProviderChoices, - standard_params: StandardParams, - extra_params: ExtraParams, -) -> OBBject[BaseModel]: - """European Index Constituents. Constituents of select european indices.""" - return await OBBject.from_query(Query(**locals())) - - @router.command(model="IndexSnapshots") async def snapshots( cc: CommandContext, diff --git a/openbb_platform/poetry.lock b/openbb_platform/poetry.lock index bccb58a1c57..b519804f676 100644 --- a/openbb_platform/poetry.lock +++ b/openbb_platform/poetry.lock @@ -898,13 +898,13 @@ files = [ [[package]] name = "jsonschema" -version = "4.21.0" +version = "4.21.1" description = "An implementation of JSON Schema validation for Python" optional = true python-versions = ">=3.8" files = [ - {file = "jsonschema-4.21.0-py3-none-any.whl", hash = "sha256:70a09719d375c0a2874571b363c8a24be7df8071b80c9aa76bc4551e7297c63c"}, - {file = "jsonschema-4.21.0.tar.gz", hash = "sha256:3ba18e27f7491ea4a1b22edce00fb820eec968d397feb3f9cb61d5894bb38167"}, + {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"}, + {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"}, ] [package.dependencies] @@ -2111,13 +2111,13 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "posthog" -version = "3.3.1" +version = "3.3.2" description = "Integrate PostHog into any python application." optional = false python-versions = "*" files = [ - 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CboeEuropeanIndexConstituentsFetcher, -) -from openbb_cboe.models.european_indices import ( - CboeEuropeanIndicesFetcher, -) from openbb_cboe.models.futures_curve import CboeFuturesCurveFetcher +from openbb_cboe.models.index_constituents import ( + CboeIndexConstituentsFetcher, +) from openbb_cboe.models.index_historical import ( CboeIndexHistoricalFetcher, ) from openbb_cboe.models.index_search import CboeIndexSearchFetcher from openbb_cboe.models.index_snapshots import CboeIndexSnapshotsFetcher -from openbb_cboe.models.market_indices import ( - CboeMarketIndicesFetcher, -) from openbb_cboe.models.options_chains import CboeOptionsChainsFetcher from openbb_core.provider.abstract.provider import Provider @@ -33,15 +27,14 @@ cboe_provider = Provider( fetcher_dict={ "AvailableIndices": CboeAvailableIndicesFetcher, "EquityHistorical": CboeEquityHistoricalFetcher, - "EquityInfo": CboeEquityInfoFetcher, + "EquityQuote": CboeEquityQuoteFetcher, "EquitySearch": CboeEquitySearchFetcher, - "EuropeanIndexConstituents": CboeEuropeanIndexConstituentsFetcher, - "EuropeanIndices": CboeEuropeanIndicesFetcher, + "IndexConstituents": CboeIndexConstituentsFetcher, "FuturesCurve": CboeFuturesCurveFetcher, "IndexHistorical": CboeIndexHistoricalFetcher, "IndexSearch": CboeIndexSearchFetcher, "IndexSnapshots": CboeIndexSnapshotsFetcher, - "MarketIndices": CboeMarketIndicesFetcher, + "MarketIndices": CboeIndexHistoricalFetcher, "OptionsChains": CboeOptionsChainsFetcher, }, ) diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/available_indices.py b/openbb_platform/providers/cboe/openbb_cboe/models/available_indices.py index 9d89a114a56..d4b06a324f9 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/available_indices.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/available_indices.py @@ -1,9 +1,9 @@ -"""CBOE Available Indices Model.""" +"""Cboe Available Indices Model.""" from datetime import time from typing import Any, Dict, List, Optional -from openbb_cboe.utils.helpers import Europe, get_cboe_index_directory +from openbb_cboe.utils.helpers import get_index_directory from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.available_indices import ( AvailableIndicesData, @@ -13,31 +13,30 @@ from pydantic import Field class CboeAvailableIndicesQueryParams(AvailableIndicesQueryParams): - """CBOE Available Indices Query. + """Cboe Available Indices Query. - Source: https://www.cboe.com/europe/indices/ + Source: https://www.cboe.com/ """ - europe: bool = Field( - description="Filter for European indices. False for US indices.", default=False + use_cache: bool = Field( + default=True, + description="When True, the Cboe Index directory will be cached for 24 hours." + + " Set as False to bypass.", ) class CboeAvailableIndicesData(AvailableIndicesData): - """CBOE Available Indices Data. + """Cboe Available Indices Data. - Source: https://www.cboe.com/europe/indices/ + Source: https://www.cboe.com/ """ - isin: Optional[str] = Field( - default=None, - description="ISIN code for the index. Valid only for European indices.", - ) - - region: Optional[str] = Field( - default=None, - description="Region for the index. Valid only for European indices", - ) + __alias_dict__ = { + "symbol": "index_symbol", + "data_delay": "mkt_data_delay", + "open_time": "calc_start_time", + "close_time": "calc_end_time", + } symbol: Optional[str] = Field(description="Symbol for the index.") @@ -94,15 +93,15 @@ class CboeAvailableIndicesFetcher( return CboeAvailableIndicesQueryParams(**params) @staticmethod - def extract_data( + async def aextract_data( query: CboeAvailableIndicesQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: """Return the raw data from the CBOE endpoint.""" - if query.europe is True: - return Europe.list_indices() - return get_cboe_index_directory().sort_index().reset_index().to_dict("records") + + data = await get_index_directory(use_cache=query.use_cache, **kwargs) + return data.to_dict("records") @staticmethod def transform_data( diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/equity_historical.py b/openbb_platform/providers/cboe/openbb_cboe/models/equity_historical.py index 08bb1fa11b2..620a987bf05 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/equity_historical.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/equity_historical.py @@ -1,15 +1,13 @@ -"""CBOE Equity Historical Price Model.""" - +"""Cboe Equity Historical Price Model.""" +import contextlib +import warnings from datetime import datetime, timedelta from typing import Any, Dict, List, Literal, Optional -import pandas as pd from openbb_cboe.utils.helpers import ( TICKER_EXCEPTIONS, - get_cboe_directory, - get_cboe_index_directory, - get_ticker_info, + get_index_directory, ) from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.equity_historical import ( @@ -17,33 +15,52 @@ from openbb_core.provider.standard_models.equity_historical import ( EquityHistoricalQueryParams, ) from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS -from openbb_core.provider.utils.helpers import make_request +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_requests +from pandas import DataFrame, Series, concat, to_datetime from pydantic import Field +_warn = warnings.warn + class CboeEquityHistoricalQueryParams(EquityHistoricalQueryParams): - """CBOE Equity Historical Price Query. + """ + Cboe Equity Historical Price Query Source: https://www.cboe.com/ """ interval: Literal["1m", "1d"] = Field( - default="1d", description=QUERY_DESCRIPTIONS.get("interval", "") + default="1d", + description=( + QUERY_DESCRIPTIONS.get("interval", "") + + " The most recent trading day is not including in daily historical data." + + " Intraday data is only available for the most recent trading day at 1 minute intervals." + ), + ) + use_cache: bool = Field( + default=True, + description="When True, the company directories will be cached for 24 hours and are used to validate symbols." + + " The results of the function are not cached. Set as False to bypass.", ) class CboeEquityHistoricalData(EquityHistoricalData): - """CBOE Equity Historical Price Data.""" + """Cboe Equity Historical Price Data.""" - calls_volume: Optional[float] = Field( + __alias_dict__ = { + "volume": "stock_volume", + } + + calls_volume: Optional[int] = Field( default=None, description="Number of calls traded during the most recent trading period. Only valid if interval is 1m.", ) - puts_volume: Optional[float] = Field( + puts_volume: Optional[int] = Field( default=None, description="Number of puts traded during the most recent trading period. Only valid if interval is 1m.", ) - total_options_volume: Optional[float] = Field( + total_options_volume: Optional[int] = Field( default=None, description="Total number of options traded during the most recent trading period. Only valid if interval is 1m.", ) @@ -59,179 +76,131 @@ class CboeEquityHistoricalFetcher( @staticmethod def transform_query(params: Dict[str, Any]) -> CboeEquityHistoricalQueryParams: - """Transform the query. Setting the start and end dates for a 1 year period.""" - return CboeEquityHistoricalQueryParams(**params) + """Transform the query.""" + transformed_params = params.copy() + now = datetime.now() + if ( + len(params.get("symbol", "").split(",")) > 1 + and params.get("start_date") is None + ): + transformed_params["start_date"] = ( + transformed_params["start_date"] + if transformed_params["start_date"] + else (now - timedelta(days=720)).strftime("%Y-%m-%d") + ) + if transformed_params.get("start_date") is None: + transformed_params["start_date"] = ( + transformed_params["start_date"] + if transformed_params.get("start_date") + else "1950-01-01" + ) + if params.get("end_date") is None: + transformed_params["end_date"] = ( + transformed_params["end_date"] + if transformed_params.get("end_date") + else now.strftime("%Y-%m-%d") + ) + + return CboeEquityHistoricalQueryParams(**transformed_params) @staticmethod - def extract_data( - query: CboeEquityHistoricalQueryParams, # pylint: disable=unused-argument + async def aextract_data( + query: CboeEquityHistoricalQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - # Symbol directories are cached for seven days and are used for error handling and URL generation. - SYMBOLS = get_cboe_directory() - INDEXES = get_cboe_index_directory().index.to_list() - multi = pd.DataFrame() - now = datetime.now() - tickers = ( - query.symbol.split(",") if "," in query.symbol else [query.symbol.upper()] - ) - if len(tickers) > 1: - query.start_date = ( - query.start_date if query.start_date else now - timedelta(days=720) + """Return the raw data from the Cboe endpoint.""" + + symbols = query.symbol.split(",") + INDEXES = await get_index_directory(use_cache=query.use_cache) + INDEXES = INDEXES.set_index("index_symbol") + INTERVAL_DICT = {"1m": "intraday", "1d": "historical"} + + def _generate_historical_prices_url( + symbol, + interval_type: Literal["intraday", "historical"] = "historical", + ) -> str: + """Generate the URL for the data.""" + if symbol.replace("^", "") in TICKER_EXCEPTIONS: + interval_type = "intraday" if len(symbols) == 1 else "historical" + _warn( + "Only the most recent trading day is available for this ticker, " + + symbol + ) + base_url: str = ( + f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{interval_type}" ) - if len(tickers) == 1: - query.start_date = ( - query.start_date if query.start_date else now - timedelta(days=50000) - ) - query.end_date = query.end_date if query.end_date else now - - def get_one(symbol, start_date, end_date, interval): - symbol = symbol.upper() - if "^" in symbol: - symbol = symbol.replace("^", "") - if len(tickers) == 1 and symbol == "NDX": - raise RuntimeError("NDX is not supported by this function.") - - data = pd.DataFrame() - - if symbol not in SYMBOLS.index and symbol not in INDEXES: - raise RuntimeError( - f"The symbol, {symbol}, was not found in the CBOE directory. Use `search()`." - ) - - def __generate_historical_prices_url( - symbol, - data_type: Optional[Literal["intraday", "historical"]] = "historical", - ) -> str: - """Generate the final URL for historical prices data.""" - url: str = ( - f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}" - ) - url = ( - url + f"/_{symbol}.json" - if symbol in TICKER_EXCEPTIONS or symbol in INDEXES - else url + f"/{symbol}.json" - ) - return url - url = ( - __generate_historical_prices_url(symbol, "intraday") - if interval == "1m" - else __generate_historical_prices_url(symbol) + base_url + f"/_{symbol.replace('^', '')}.json" + if symbol.replace("^", "") in TICKER_EXCEPTIONS + or symbol.replace("^", "") in INDEXES.index + else base_url + f"/{symbol.replace('^', '')}.json" ) - r = make_request(url) + return url - if r.status_code != 200: - raise RuntimeError(r.status_code) - - if interval == "1d": - data = ( - pd.DataFrame(r.json()["data"])[ - ["date", "open", "high", "low", "close", "volume"] - ] - ).set_index("date") - - # Fill in missing data from current or most recent trading session. - - today = pd.to_datetime(datetime.now().date()) - if today.weekday() > 4: - day_minus = today.weekday() - 4 - today = pd.to_datetime(today - timedelta(days=day_minus)) - if today != data.index[-1]: - _today = pd.Series(get_ticker_info(symbol)) - today_df = pd.Series(dtype="object") - today_df["open"] = round(_today["open"], 2) - today_df["high"] = round(_today["high"], 2) - today_df["low"] = round(_today["low"], 2) - today_df["close"] = round(_today["close"], 2) - if symbol not in INDEXES and symbol not in TICKER_EXCEPTIONS: - data = data[data["volume"] > 0] - today_df["volume"] = _today["volume"] - today_df["date"] = today.date() - today_df = pd.DataFrame(today_df).transpose().set_index("date") - - data = pd.concat([data, today_df], axis=0) - - # If ticker is an index there is no volume data and the types must be set. - - if symbol in INDEXES or symbol in TICKER_EXCEPTIONS: - data = data[["open", "high", "low", "close", "volume"]] - data["open"] = round(data.open.astype(float), 2) - data["high"] = round(data.high.astype(float), 2) - data["low"] = round(data.low.astype(float), 2) - data["close"] = round(data.close.astype(float), 2) - data["volume"] = 0 - - data.index = pd.to_datetime(data.index) - data = data[data["open"] > 0] - data = data[ - (data.index >= pd.to_datetime(start_date)) - & (data.index <= pd.to_datetime(end_date)) - ] - if query.interval == "1m": - data_list = r.json()["data"] - date: list[datetime] = [] - open_: list[float] = [] - high: list[float] = [] - low: list[float] = [] - close: list[float] = [] - volume: list[float] = [] - calls_volume: list[float] = [] - puts_volume: list[float] = [] - total_options_volume: list[float] = [] - - for data in data_list: - date.append(data["datetime"]) - open_.append(data["price"]["open"]) - high.append(data["price"]["high"]) - low.append(data["price"]["low"]) - close.append(data["price"]["close"]) - volume.append(data["volume"]["stock_volume"]) - calls_volume.append(data["volume"]["calls_volume"]) - puts_volume.append(data["volume"]["puts_volume"]) - total_options_volume.append(data["volume"]["total_options_volume"]) - - data = pd.DataFrame() - date = [d.replace("T", " ") for d in date] - date = [datetime.strptime(d, "%Y-%m-%d %H:%M:%S") for d in date] - data["date"] = date - data["open"] = open_ - data["high"] = high - data["low"] = low - data["close"] = close - data["volume"] = volume - data["calls_volume"] = calls_volume - data["puts_volume"] = puts_volume - data["total_options_volume"] = total_options_volume - data = data.set_index("date").sort_index() - data.index = data.index.strftime("%Y-%m-%d %H:%M:%S") - data = data[data["open"] > 0] - - data["volume"] = round(data["volume"].astype("int64")) - data["symbol"] = symbol - return data.drop_duplicates().reset_index() - - for ticker in tickers: - if ticker != "NDX": - data = get_one( - ticker, - start_date=query.start_date, - end_date=query.end_date, - interval=query.interval, - ).set_index(["date", "symbol"]) - multi = pd.concat([multi, data], axis=0) - - multi = multi.sort_index().reset_index() - if len(tickers) == 1: - multi = multi.drop(columns=["symbol"]) - - return multi.to_dict("records") + urls = [ + _generate_historical_prices_url(symbol, INTERVAL_DICT[query.interval]) + for symbol in symbols + ] + return await amake_requests(urls, **kwargs) @staticmethod def transform_data( query: CboeEquityHistoricalQueryParams, data: List[Dict], **kwargs: Any ) -> List[CboeEquityHistoricalData]: """Transform the data to the standard format.""" - return [CboeEquityHistoricalData.model_validate(d) for d in data] + if not data: + raise EmptyDataError() + results = DataFrame() + # Results will be different depending on the interval. + # We will also parse the output from multiple symbols. + for item in data: + result = DataFrame() + _symbol = item["symbol"] + _temp = item["data"] + if query.interval == "1d": + result = DataFrame(_temp) + result["symbol"] = _symbol.replace("_", "").replace("^", "") + result = result.set_index("date") + results = concat([results, result]) + if query.interval == "1m": + _datetime = Series([d["datetime"] for d in _temp]).rename("date") + _price = DataFrame(d["price"] for d in _temp) + _volume = DataFrame(d["volume"] for d in _temp) + result = _price.join([_volume, _datetime]) + result["symbol"] = _symbol.replace("_", "").replace("^", "") + result = result.set_index("date") + results = concat([results, result]) + results = results.set_index("symbol", append=True).sort_index() + # There are some bad data points in the open/high/low results that will break things. + for c in results.columns: + # Some symbols do not have volume data, and some intraday symbols don't have options. + if c in ["volume", "puts_volume", "calls_volume", "total_options_volume"]: + results[c] = results[c].astype(float).astype("int64") + results = ( + results.drop(columns=c) + if results[c].sum() == 0 and c != "volume" + else results + ) + # Sub-penny prices are not warranted for any of the assets returned. + if c in ["open", "high", "low", "close"]: + with contextlib.suppress(Exception): + results[c] = results[c].astype(float) + results[c] = round(results[c], 2) + output = results.dropna(how="all", axis=1).reset_index() + output = output[output["open"] > 0] + # When there is only one ticker symbol, the symbol column is redundant. + if len(query.symbol.split(",")) == 1: + output = output.drop(columns="symbol") + # Finally, we apply the user-specified date range because it is not filtered at the source. + output = output[ + (to_datetime(output["date"]) >= to_datetime(query.start_date)) + & ( + to_datetime(output["date"]) + <= to_datetime(query.end_date + timedelta(days=1)) + ) + ] + return [ + CboeEquityHistoricalData.model_validate(d) + for d in output.to_dict("records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/equity_info.py b/openbb_platform/providers/cboe/openbb_cboe/models/equity_info.py deleted file mode 100644 index 296baab8bd3..00000000000 --- a/openbb_platform/providers/cboe/openbb_cboe/models/equity_info.py +++ /dev/null @@ -1,140 +0,0 @@ -"""CBOE Equity Info Model.""" - -import concurrent.futures -from datetime import datetime -from typing import Any, Dict, List, Optional - -import pandas as pd -from openbb_cboe.utils.helpers import ( - get_cboe_directory, - get_cboe_index_directory, - get_ticker_info, - get_ticker_iv, -) -from openbb_core.provider.abstract.fetcher import Fetcher -from openbb_core.provider.standard_models.equity_info import ( - EquityInfoData, - EquityInfoQueryParams, -) -from pydantic import Field - - -class CboeEquityInfoQueryParams(EquityInfoQueryParams): - """CBOE Equity Info Query. - - Source: https://www.cboe.com/ - """ - - -class CboeEquityInfoData(EquityInfoData): - """CBOE Equity Info Data.""" - - type: Optional[str] = Field(default=None, description="Type of asset.") - exchange_id: Optional[int] = Field( - default=None, description="The Exchange ID number." - ) - tick: Optional[str] = Field( - default=None, description="Whether the last sale was an up or down tick." - ) - bid: Optional[float] = Field(default=None, description="Current bid price.") - bid_size: Optional[float] = Field(default=None, description="Bid lot size.") - ask: Optional[float] = Field(default=None, description="Current ask price.") - ask_size: Optional[float] = Field(default=None, description="Ask lot size.") - volume: Optional[float] = Field( - default=None, description="Stock volume for the current trading day." - ) - iv30: Optional[float] = Field( - default=None, description="The 30-day implied volatility of the stock." - ) - iv30_change: Optional[float] = Field( - default=None, description="Change in 30-day implied volatility of the stock." - ) - last_trade_timestamp: Optional[datetime] = Field( - default=None, description="Last trade timestamp for the stock." - ) - iv30_annual_high: Optional[float] = Field( - default=None, description="The 1-year high of implied volatility." - ) - hv30_annual_high: Optional[float] = Field( - default=None, description="The 1-year high of realized volatility." - ) - iv30_annual_low: Optional[float] = Field( - default=None, description="The 1-year low of implied volatility." - ) - hv30_annual_low: Optional[float] = Field( - default=None, description="The 1-year low of realized volatility." - ) - iv60_annual_high: Optional[float] = Field( - default=None, description="The 60-day high of implied volatility." - ) - hv60_annual_high: Optional[float] = Field( - default=None, description="The 60-day high of realized volatility." - ) - iv60_annual_low: Optional[float] = Field( - default=None, description="The 60-day low of implied volatility." - ) - hv60_annual_low: Optional[float] = Field( - default=None, description="The 60-day low of realized volatility." - ) - iv90_annual_high: Optional[float] = Field( - default=None, description="The 90-day high of implied volatility." - ) - hv90_annual_high: Optional[float] = Field( - default=None, description="The 90-day high of realized volatility." - ) - - -class CboeEquityInfoFetcher( - Fetcher[ - CboeEquityInfoQueryParams, - List[CboeEquityInfoData], - ] -): - """Transform the query, extract and transform the data from the CBOE endpoints.""" - - @staticmethod - def transform_query(params: Dict[str, Any]) -> CboeEquityInfoQueryParams: - """Transform the query.""" - return CboeEquityInfoQueryParams(**params) - - @staticmethod - def extract_data( - query: CboeEquityInfoQueryParams, # pylint: disable=unused-argument - credentials: Optional[Dict[str, str]], - **kwargs: Any, - ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - results = [] - - INDEXES = get_cboe_index_directory().index.to_list() - SYMBOLS = get_cboe_directory() - - def get_one(symbol): - data = pd.Series(dtype="object") - if symbol in SYMBOLS.index or symbol in INDEXES: - _info = pd.Series(get_ticker_info(symbol)) - _iv = pd.Series(get_ticker_iv(symbol)) - data = ( - pd.DataFrame(pd.concat([_info, _iv])) - .transpose() - .drop(columns="seqno") - .iloc[0] - ) - - results.append(data.to_dict()) - - with concurrent.futures.ThreadPoolExecutor() as executor: - executor.map(get_one, query.symbol.split(",")) - - return ( - pd.DataFrame.from_records(results) - .sort_values(by="symbol") - .to_dict("records") - ) - - @staticmethod - def transform_data( - query: CboeEquityInfoQueryParams, data: List[Dict], **kwargs: Any - ) -> List[CboeEquityInfoData]: - """Transform the data to the standard format.""" - return [CboeEquityInfoData.model_validate(d) for d in data] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/equity_quote.py b/openbb_platform/providers/cboe/openbb_cboe/models/equity_quote.py new file mode 100644 index 00000000000..3561dfe8cf5 --- /dev/null +++ b/openbb_platform/providers/cboe/openbb_cboe/models/equity_quote.py @@ -0,0 +1,244 @@ +"""Cboe Equity Info Model.""" +# pylint: disable=invalid-name,too-many-locals, expression-not-assigned +from typing import Any, Dict, List, Optional + +from openbb_cboe.utils.helpers import ( + TICKER_EXCEPTIONS, + get_company_directory, + get_index_directory, +) +from openbb_core.provider.abstract.fetcher import Fetcher +from openbb_core.provider.standard_models.equity_quote import ( + EquityQuoteData, + EquityQuoteQueryParams, +) +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_requests +from pandas import DataFrame, concat +from pydantic import Field + + +class CboeEquityQuoteQueryParams(EquityQuoteQueryParams): + """CBOE Equity Quote Query. + + Source: https://www.cboe.com/ + """ + + use_cache: bool = Field( + default=True, + description="When True, the company directories will be cached for" + + " 24 hours and are used to validate symbols." + + " The results of the function are not cached. Set as False to bypass.", + ) + + +class CboeEquityQuoteData(EquityQuoteData): + """CBOE Equity Quote Data.""" + + __alias_dict__ = { + "last_timestamp": "last_trade_time", + "prev_close": "prev_day_close", + "asset_type": "security_type", + "last_price": "current_price", + "year_high": "annual_high", + "year_low": "annual_low", + "last_tick": "tick", + "change": "price_change", + "change_percent": "price_change_percent", + } + + iv30: Optional[float] = Field( + default=None, description="The 30-day implied volatility of the stock." + ) + iv30_change: Optional[float] = Field( + default=None, description="Change in 30-day implied volatility of the stock." + ) + iv30_change_percent: Optional[float] = Field( + default=None, + description="Change in 30-day implied volatility of the" + + " stock as a normalized percentage value.", + ) + iv30_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 30-day implied volatility." + ) + hv30_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 30-day realized volatility." + ) + iv30_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 30-day implied volatility." + ) + hv30_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 30-dayrealized volatility." + ) + iv60_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 60-day implied volatility." + ) + hv60_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 60-day realized volatility." + ) + iv60_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 60-day implied volatility." + ) + hv60_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 60-day realized volatility." + ) + iv90_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 90-day implied volatility." + ) + hv90_annual_high: Optional[float] = Field( + default=None, description="The 1-year high of 90-day realized volatility." + ) + iv90_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 90-day implied volatility." + ) + hv90_annual_low: Optional[float] = Field( + default=None, description="The 1-year low of 90-day realized volatility." + ) + + +class CboeEquityQuoteFetcher( + Fetcher[ + CboeEquityQuoteQueryParams, + List[CboeEquityQuoteData], + ] +): + """Transform the query, extract and transform the data from the CBOE endpoints.""" + + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeEquityQuoteQueryParams: + """Transform the query.""" + return CboeEquityQuoteQueryParams(**params) + + @staticmethod + async def aextract_data( + query: CboeEquityQuoteQueryParams, # pylint: disable=unused-argument + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> DataFrame: + """Return the raw data from the Cboe endpoint.""" + + symbols = query.symbol.split(",") + # First get the index and company directories so we know how to handle the ticker symbols. + # Using cache for faster response times. + SYMBOLS = await get_company_directory(use_cache=query.use_cache, **kwargs) + INDEXES = await get_index_directory(use_cache=query.use_cache, **kwargs) + INDEXES = INDEXES.set_index("index_symbol") + + # Create a list of European indices. + EU_INDEXES = INDEXES[INDEXES["source"] == "eu_proprietary_index"] + + # Check all symbols and create a list of URLs to request. + urls = [] + for symbol in symbols: + base_url = "https://cdn.cboe.com/api/global/delayed_quotes/quotes/" + url = ( + f"{base_url}_{symbol.replace('^', '')}.json" + if symbol.replace("^", "") in INDEXES.index + or symbol.replace("^", "") in TICKER_EXCEPTIONS + else f"{base_url}{symbol.replace('^', '')}.json" + ) + # European Indices require a different endpoint. + if symbol in EU_INDEXES.index: + eu_name = EU_INDEXES.at[symbol, "name"] + _symbol = EU_INDEXES[EU_INDEXES["name"].str.contains(eu_name)].index[0] + url = ( + "https://cdn.cboe.com/api/global/european_indices/" + + f"index_quotes/{_symbol.replace('^', '')}.json" + ) + urls.append(url) + # Now make the requests. + responses = await amake_requests(urls) + if not responses: + raise EmptyDataError() + quotes_data = [d["data"] for d in responses] + # There is no context for this data so we'll remove it. + [d.pop("seqno") for d in quotes_data if "seqno" in d] + [d.pop("exchange_id") for d in quotes_data if "exchange_id" in d] + + quotes = DataFrame(quotes_data) + quotes.symbol = quotes.symbol.str.replace("^", "") + quotes.symbol = [s.split("-")[0] for s in quotes.symbol] + # Drop an additional symbol column from EU Indices. + if "index" in quotes.columns: + quotes = quotes.drop(columns="index") + quotes = DataFrame(quotes).set_index("symbol") + + # Now get the URLs for the IV data. + base_url = "https://cdn.cboe.com/api/global/delayed_quotes/historical_data/" + iv_urls = [] + for symbol in symbols: + iv_url = ( + base_url + f"_{symbol.replace('^', '')}.json" + if symbol.replace("^", "") in TICKER_EXCEPTIONS + or symbol.replace("^", "") in INDEXES.index + else base_url + f"{symbol.replace('^', '')}.json" + ) + # There is no IV data for the EU Indices, so we'll skip those symbols. + if symbol not in EU_INDEXES.index: + iv_urls.append(iv_url) + + # While iterating through the symbols, grab the name belonging to the ticker. + if symbol.replace("^", "") in SYMBOLS.index: + quotes.loc[symbol.replace("^", ""), "name"] = SYMBOLS.loc[ + symbol.replace("^", ""), "name" + ] + if symbol.replace("^", "") in INDEXES.index: + quotes.loc[symbol.replace("^", ""), "name"] = INDEXES.loc[ + symbol.replace("^", ""), "name" + ] + if symbol.replace("^", "") in EU_INDEXES.index: + quotes.loc[symbol.replace("^", ""), "name"] = EU_INDEXES.loc[ + symbol.replace("^", ""), "name" + ] + + # Now get the IV data. + iv = DataFrame() + iv_responses = await amake_requests(iv_urls) + if iv_responses: + iv_data = [d["data"] for d in iv_responses] + iv = DataFrame(iv_data) + iv["symbol"] = iv["symbol"].astype(str).str.replace("^", "") + iv = iv.set_index("symbol") + if not iv_responses: + iv = DataFrame() + + # Merge the IV data with the quotes data. + results = concat([quotes, iv], axis=1) + + if len(results) == 0: + raise EmptyDataError() + return results + + @staticmethod + def transform_data( + query: CboeEquityQuoteQueryParams, data: DataFrame, **kwargs: Any + ) -> List[CboeEquityQuoteData]: + """Transform the data to the standard format.""" + data = data.replace(0, None).dropna(how="all", axis=1) + # We need to convert the percent columns to normalized values. + percent_cols = [ + "price_change_percent", + "iv30", + "iv30_change", + "iv30_change_percent", + "iv30_annual_high", + "iv30_annual_low", + "iv60_annual_high", + "iv60_annual_low", + "iv90_annual_high", + "iv90_annual_low", + "hv30_annual_high", + "hv30_annual_low", + "hv60_annual_high", + "hv60_annual_low", + "hv90_annual_high", + "hv90_annual_low", + ] + for col in percent_cols: + if col in data.columns: + data[col] = data[col] / 100 + data = data.dropna(how="all", axis=1).fillna("N/A").replace("N/A", None) + return [ + CboeEquityQuoteData.model_validate(d) + for d in data.reset_index().to_dict("records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/equity_search.py b/openbb_platform/providers/cboe/openbb_cboe/models/equity_search.py index 1f2746abbc6..428a7d92023 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/equity_search.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/equity_search.py @@ -2,7 +2,7 @@ from typing import Any, Dict, List, Optional -from openbb_cboe.utils.helpers import get_cboe_directory +from openbb_cboe.utils.helpers import get_company_directory from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.equity_search import ( EquitySearchData, @@ -17,12 +17,16 @@ class CboeEquitySearchQueryParams(EquitySearchQueryParams): Source: https://www.cboe.com/ """ + use_cache: bool = Field( + default=True, + description="When True, the company directory of optionable tickers will be cached for 24 hours." + + " Set as False to bypass.", + ) + class CboeEquitySearchData(EquitySearchData): """CBOE Equity Search Data.""" - __alias_dict__ = {"name": "Company Name"} - dpm_name: Optional[str] = Field( default=None, description="Name of the primary market maker.", @@ -47,14 +51,15 @@ class CboeEquitySearchFetcher( return CboeEquitySearchQueryParams(**params) @staticmethod - def extract_data( # pylint: disable=unused-argument + async def aextract_data( query: CboeEquitySearchQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> Dict: """Return the raw data from the CBOE endpoint.""" data = {} - symbols = get_cboe_directory().reset_index().replace("nan", None) + symbols = await get_company_directory(query.use_cache, **kwargs) + symbols = symbols.reset_index() target = "name" if query.is_symbol is False else "symbol" idx = symbols[target].str.contains(query.query, case=False) result = symbols[idx].to_dict("records") diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/european_index_constituents.py b/openbb_platform/providers/cboe/openbb_cboe/models/european_index_constituents.py deleted file mode 100644 index 1ac75d367a1..00000000000 --- a/openbb_platform/providers/cboe/openbb_cboe/models/european_index_constituents.py +++ /dev/null @@ -1,116 +0,0 @@ -"""CBOE European Index Constituents Model.""" - -from datetime import datetime -from typing import Any, Dict, List, Optional - -import pandas as pd -from openbb_cboe.utils.helpers import EUR_INDEX_CONSTITUENTS_COLUMNS, Europe -from openbb_core.provider.abstract.fetcher import Fetcher -from openbb_core.provider.standard_models.european_index_constituents import ( - EuropeanIndexConstituentsData, - EuropeanIndexConstituentsQueryParams, -) -from openbb_core.provider.utils.helpers import make_request -from pydantic import Field, field_validator - - -class CboeEuropeanIndexConstituentsQueryParams(EuropeanIndexConstituentsQueryParams): - """CBOE European Index Constituents Query. - - Source: https://www.cboe.com/ - - Gets the current price data for all constituents of the CBOE European Index. - """ - - -class CboeEuropeanIndexConstituentsData(EuropeanIndexConstituentsData): - """CBOE European Index Constituents Data. - - Current trading day price data for all constituents of the CBOE European Index. - """ - - prev_close: Optional[float] = Field( - default=None, description="Previous closing price." - ) - change: Optional[float] = Field(default=None, description="Change in price.") - change_percent: Optional[float] = Field( - default=None, description="Change in price as a percentage." - ) - tick: Optional[str] = Field( - default=None, description="Whether the last sale was an up or down tick." - ) - last_trade_timestamp: Optional[datetime] = Field( - default=None, description="Last trade timestamp for the symbol." - ) - exchange_id: Optional[int] = Field( - default=None, description="The Exchange ID number." - ) - seqno: Optional[int] = Field( - default=None, description="Sequence number of the last trade on the tape." - ) - asset_type: Optional[str] = Field( - default=None, description="Type of asset.", alias="type" - ) - - @field_validator("last_trade_timestamp", mode="before", check_fields=False) - def date_validate(cls, v): # pylint: disable=E0213 - """Return the datetime object from the date string.""" - return datetime.strftime(v, "%Y-%m-%d %H:%M:%S") - - -class CboeEuropeanIndexConstituentsFetcher( - Fetcher[ - CboeEuropeanIndexConstituentsQueryParams, - List[CboeEuropeanIndexConstituentsData], - ] -): - """Transform the query, extract and transform the data from the CBOE endpoints.""" - - @staticmethod - def transform_query( - params: Dict[str, Any] - ) -> CboeEuropeanIndexConstituentsQueryParams: - """Transform the query.""" - return CboeEuropeanIndexConstituentsQueryParams(**params) - - @staticmethod - def extract_data( - query: CboeEuropeanIndexConstituentsQueryParams, - credentials: Optional[Dict[str, str]], - **kwargs: Any, - ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - SYMBOLS = pd.DataFrame(Europe.list_indices())["symbol"].to_list() - query.symbol = query.symbol.upper() - - if query.symbol not in SYMBOLS: - raise RuntimeError( - f"The symbol, {query.symbol}," - "was not found in the CBOE European Index directory. " - "Use `available_indices(europe=True)` to see the full list of indices." - ) - url = f"https://cdn.cboe.com/api/global/european_indices/constituent_quotes/{query.symbol}.json" - - r = make_request(url) - if r.status_code != 200: - raise RuntimeError(r.status_code) - - r_json = r.json() - - data = ( - pd.DataFrame.from_records(r_json["data"])[ - list(EUR_INDEX_CONSTITUENTS_COLUMNS.keys()) - ] - .rename(columns=EUR_INDEX_CONSTITUENTS_COLUMNS) - .round(2) - ) - data["last_trade_timestamp"] = pd.to_datetime(data["last_trade_timestamp"]) - - return data.to_dict("records") - - @staticmethod - def transform_data( - query: CboeEuropeanIndexConstituentsQueryParams, data: List[Dict], **kwargs: Any - ) -> List[CboeEuropeanIndexConstituentsData]: - """Transform the data to the standard format.""" - return [CboeEuropeanIndexConstituentsData.model_validate(d) for d in data] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/european_indices.py b/openbb_platform/providers/cboe/openbb_cboe/models/european_indices.py deleted file mode 100644 index d06a05d0d3e..00000000000 --- a/openbb_platform/providers/cboe/openbb_cboe/models/european_indices.py +++ /dev/null @@ -1,142 +0,0 @@ -"""CBOE European Indices Model.""" - -from datetime import datetime -from typing import Any, Dict, List, Literal, Optional - -import pandas as pd -from dateutil.relativedelta import relativedelta -from openbb_cboe.utils.helpers import Europe -from openbb_core.provider.abstract.fetcher import Fetcher -from openbb_core.provider.standard_models.european_indices import ( - EuropeanIndicesData, - EuropeanIndicesQueryParams, -) -from openbb_core.provider.utils.helpers import make_request -from pydantic import Field, field_validator - - -class CboeEuropeanIndicesQueryParams(EuropeanIndicesQueryParams): - """CBOE European Indices Query. - - Source: https://www.cboe.com/europe/indices/ - """ - - interval: Literal["1d", "1m"] = Field(description="Data granularity.", default="1d") - - -class CboeEuropeanIndicesData(EuropeanIndicesData): - """CBOE European Indices Data.""" - - open: Optional[float] = Field( - default=None, - description="Opening price for the interval. Only valid when interval is 1m.", - ) - high: Optional[float] = Field( - default=None, - description="High price for the interval. Only valid when interval is 1m.", - ) - low: Optional[float] = Field( - default=None, - description="Low price for the interval. Only valid when interval is 1m.", - ) - utc_datetime: Optional[datetime] = Field( - default=None, description="UTC datetime. Only valid when interval is 1m." - ) - - @field_validator("date", mode="before", check_fields=False) - def date_validate(cls, v): # pylint: disable=E0213 - """Return datetime object from string.""" - try: - return datetime.strptime(v, "%Y-%m-%d") - except Exception: - return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") - - -class CboeEuropeanIndicesFetcher( - Fetcher[ - CboeEuropeanIndicesQueryParams, - List[CboeEuropeanIndicesData], - ] -): - """Transform the query, extract and transform the data from the CBOE endpoints.""" - - @staticmethod - def transform_query(params: Dict[str, Any]) -> CboeEuropeanIndicesQueryParams: - """Transform the query.""" - now = datetime.now().date() - transformed_params = params - if params.get("start_date") is None: - transformed_params["start_date"] = now - relativedelta(years=1) - - if params.get("end_date") is None: - transformed_params["end_date"] = now - - return CboeEuropeanIndicesQueryParams(**transformed_params) - - @staticmethod - def extract_data( - query: CboeEuropeanIndicesQueryParams, - credentials: Optional[Dict[str, str]], - **kwargs: Any, - ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - data = pd.DataFrame() - query.symbol = query.symbol.upper() - SYMBOLS = pd.DataFrame(Europe.list_indices())["symbol"].to_list() - - if query.symbol not in SYMBOLS: - raise RuntimeError( - f"The symbol, {query.symbol}," - "was not found in the CBOE European Indices directory. " - "Use `available_indices(europe=True)` to see the full list of indices." - ) - if query.interval == "1d": - url = f"https://cdn.cboe.com/api/global/european_indices/index_history/{query.symbol}.json" - - r = make_request(url) - if r.status_code != 200: - raise RuntimeError(r.status_code) - - r_json = r.json() - - data = pd.DataFrame.from_records(r_json["data"]).set_index("date") - - data.index = pd.to_datetime(data.index, format="%Y-%m-%d") - - if query.start_date is not None: - query.end_date = ( - query.end_date if query.end_date else datetime.now().date() - ) - - data = data[ - (data.index >= pd.to_datetime(query.start_date, format="%Y-%m-%d")) - & (data.index <= pd.to_datetime(query.end_date, format="%Y-%m-%d")) - ] - data.index = data.index.astype(str) - data = data.reset_index() - - if query.interval == "1m": - url = f"https://cdn.cboe.com/api/global/european_indices/intraday_chart_data/{query.symbol}.json" - - r = make_request(url) - if r.status_code != 200: - raise RuntimeError(r.status_code) - - r_json = r.json()["data"] - - data = pd.DataFrame.from_records(pd.DataFrame(r_json)["price"]) - data["date"] = pd.DataFrame(r_json)["datetime"] - data["utc_datetime"] = pd.to_datetime(pd.DataFrame(r_json)["utc_datetime"]) - - data = data[["utc_datetime", "date", "open", "high", "low", "close"]].round( - 2 - ) - - return data.to_dict("records") - - @staticmethod - def transform_data( - query: CboeEuropeanIndicesQueryParams, data: List[Dict], **kwargs: Any - ) -> List[CboeEuropeanIndicesData]: - """Transform the data to the standard format.""" - return [CboeEuropeanIndicesData.model_validate(d) for d in data] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/futures_curve.py b/openbb_platform/providers/cboe/openbb_cboe/models/futures_curve.py index c84f8346669..44970f62b89 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/futures_curve.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/futures_curve.py @@ -9,6 +9,7 @@ from openbb_core.provider.standard_models.futures_curve import ( FuturesCurveData, FuturesCurveQueryParams, ) +from openbb_core.provider.utils.errors import EmptyDataError from pydantic import Field @@ -38,30 +39,28 @@ class CboeFuturesCurveFetcher( return CboeFuturesCurveQueryParams(**params) @staticmethod - def extract_data( + async def aextract_data( query: CboeFuturesCurveQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: """Return the raw data from the CBOE endpoint.""" - query.symbol = query.symbol.upper() - FUTURES = get_settlement_prices(settlement_date=query.date) + symbol = query.symbol.upper().split(",")[0] + FUTURES = await get_settlement_prices(**kwargs) if len(FUTURES) == 0: - return [] + raise EmptyDataError() - if query.symbol not in FUTURES["product"].unique().tolist(): + if symbol not in FUTURES["product"].unique().tolist(): raise RuntimeError( "The symbol, " - f"{query.symbol}" + f"{symbol}" ", is not valid. Chose from: " f"{FUTURES['product'].unique().tolist()}" ) + data = FUTURES[FUTURES["product"] == symbol][["expiration", "symbol", "price"]] - data = get_settlement_prices(settlement_date=query.date) - data = data[data["product"] == query.symbol] - - return data[["expiration", "symbol", "price"]].to_dict("records") + return data.to_dict("records") @staticmethod def transform_data( diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/index_constituents.py b/openbb_platform/providers/cboe/openbb_cboe/models/index_constituents.py new file mode 100644 index 00000000000..35f9173461e --- /dev/null +++ b/openbb_platform/providers/cboe/openbb_cboe/models/index_constituents.py @@ -0,0 +1,130 @@ +"""Cboe Index Constituents Model.""" +# pylint: disable=unused-argument +from datetime import datetime +from typing import Any, Dict, List, Optional + +from openbb_cboe.utils.helpers import CONSTITUENTS_EU +from openbb_core.provider.abstract.fetcher import Fetcher +from openbb_core.provider.standard_models.index_constituents import ( + IndexConstituentsData, + IndexConstituentsQueryParams, +) +from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_request +from pandas import DataFrame +from pydantic import Field, field_validator + + +class CboeIndexConstituentsQueryParams(IndexConstituentsQueryParams): + """Cboe Index Constituents Query. + + Source: https://www.cboe.com/ + + Gets the current price data for all constituents of the CBOE European Index. + """ + + index: CONSTITUENTS_EU = Field(default="BUK100P") + + +class CboeIndexConstituentsData(IndexConstituentsData): + """Cboe Index Constituents Data. + + Current trading day price data for all constituents of the Cboe proprietary index. + """ + + __alias_dict__ = { + "prev_close": "prev_day_close", + "change": "price_change", + "change_percent": "price_change_percent", + "last_price": "current_price", + } + + security_type: Optional[str] = Field( + default=None, description="The type of security represented." + ) + last_price: Optional[float] = Field( + default=None, description="Last price for the symbol." + ) + 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[int] = Field( + default=None, description=DATA_DESCRIPTIONS.get("volume", "") + ) + prev_close: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("prev_close", "") + ) + change: Optional[float] = Field(default=None, description="Change in price.") + change_percent: Optional[float] = Field( + default=None, description="Change in price as a normalized percentage." + ) + tick: Optional[str] = Field( + default=None, description="Whether the last sale was an up or down tick." + ) + last_trade_time: Optional[datetime] = Field( + default=None, description="Last trade timestamp for the symbol." + ) + asset_type: Optional[str] = Field( + default=None, description="Type of asset.", alias="type" + ) + + @field_validator("last_trade_time", mode="before", check_fields=False) + @classmethod + def date_validate(cls, v): # pylint: disable=E0213 + """Return the datetime object from the date string.""" + return datetime.strptime(v, "%Y-%m-%dT%H:%M:%S") + + +class CboeIndexConstituentsFetcher( + Fetcher[ + CboeIndexConstituentsQueryParams, + List[CboeIndexConstituentsData], + ] +): + """Transform the query, extract and transform the data from the CBOE endpoints.""" + + @staticmethod + def transform_query(params: Dict[str, Any]) -> CboeIndexConstituentsQueryParams: + """Transform the query.""" + return CboeIndexConstituentsQueryParams(**params) + + @staticmethod + async def aextract_data( + query: CboeIndexConstituentsQueryParams, + credentials: Optional[Dict[str, str]], + **kwargs: Any, + ) -> List[Dict]: + """Return the raw data from the Cboe endpoint.""" + + url = ( + "https://cdn.cboe.com/api/global/european_indices" + f"/constituent_quotes/{query.index}.json" + ) + data = await amake_request(url) + return data.get("data") + + @staticmethod + def transform_data( + query: CboeIndexConstituentsQueryParams, data: List[Dict], **kwargs: Any + ) -> List[CboeIndexConstituentsData]: + """Transform the data to the standard format.""" + if not data: + raise EmptyDataError() + data = DataFrame(data) + data["price_change_percent"] = data["price_change_percent"] / 100 + data = data.replace(0, None).dropna(how="all", axis=1) + data = data.drop(columns=["exchange_id"]) + return [ + CboeIndexConstituentsData.model_validate(d) + for d in data.to_dict(orient="records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/index_historical.py b/openbb_platform/providers/cboe/openbb_cboe/models/index_historical.py index d68b413fa43..2da810d1acf 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/index_historical.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/index_historical.py @@ -1,37 +1,54 @@ -"""CBOE Index Historical Model.""" +"""Cboe Market Indices Model.""" +import warnings from datetime import datetime, timedelta from typing import Any, Dict, List, Literal, Optional -import pandas as pd from openbb_cboe.utils.helpers import ( TICKER_EXCEPTIONS, - get_cboe_index_directory, - get_ticker_info, + get_index_directory, ) from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.index_historical import ( IndexHistoricalData, IndexHistoricalQueryParams, ) -from openbb_core.provider.utils.helpers import make_request +from openbb_core.provider.utils.descriptions import QUERY_DESCRIPTIONS +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_requests +from pandas import DataFrame, Series, concat, to_datetime from pydantic import Field +_warn = warnings.warn + class CboeIndexHistoricalQueryParams(IndexHistoricalQueryParams): - """CBOE Index Historical Query. + """CBOE Market Indices Query. Source: https://www.cboe.com/ """ - interval: Literal["1d", "1m"] = Field( - description="Use interval, 1m, for intraday prices during the most recent trading period.", + interval: Literal["1m", "1d"] = Field( default="1d", + description=( + QUERY_DESCRIPTIONS.get("interval", "") + + " The most recent trading day is not including in daily historical data." + + " Intraday data is only available for the most recent trading day at 1 minute intervals." + ), + ) + use_cache: bool = Field( + default=True, + description="When True, the company directories will be cached for 24 hours and are used to validate symbols." + + " The results of the function are not cached. Set as False to bypass.", ) class CboeIndexHistoricalData(IndexHistoricalData): - """CBOE Index Historical Data.""" + """CBOE Market Indices Data.""" + + __alias_dict__ = { + "volume": "stock_volume", + } calls_volume: Optional[float] = Field( default=None, @@ -57,156 +74,135 @@ class CboeIndexHistoricalFetcher( @staticmethod def transform_query(params: Dict[str, Any]) -> CboeIndexHistoricalQueryParams: - """Transform the query. Setting the start and end dates for a 1 year period.""" - return CboeIndexHistoricalQueryParams(**params) + """Transform the query.""" + transformed_params = params.copy() + now = datetime.now() + if ( + len(params.get("symbol", "").split(",")) > 1 + and params.get("start_date") is None + ): + transformed_params["start_date"] = ( + transformed_params["start_date"] + if transformed_params["start_date"] + else (now - timedelta(days=720)).strftime("%Y-%m-%d") + ) + if transformed_params.get("start_date") is None: + transformed_params["start_date"] = ( + transformed_params["start_date"] + if transformed_params.get("start_date") + else "1950-01-01" + ) + if params.get("end_date") is None: + transformed_params["end_date"] = ( + transformed_params["end_date"] + if transformed_params.get("end_date") + else now.strftime("%Y-%m-%d") + ) + + return CboeIndexHistoricalQueryParams(**transformed_params) @staticmethod - def extract_data( - query: CboeIndexHistoricalQueryParams, # pylint: disable=unused-argument + async def aextract_data( + query: CboeIndexHistoricalQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - # Symbol directories are cached for seven days and are used for error handling and URL generation. - INDEXES = get_cboe_index_directory().index.to_list() - query.symbol = query.symbol.upper() - data = pd.DataFrame() - if "^" in query.symbol: - query.symbol = query.symbol.replace("^", "") - query.interval = ( - "1m" if query.symbol == "NDX" and query.interval == "1d" else query.interval - ) + """Return the raw data from the Cboe endpoint.""" - now = datetime.now() - query.start_date = ( - query.start_date if query.start_date else now - timedelta(days=50000) - ) - query.end_date = query.end_date if query.end_date else now + symbols = query.symbol.split(",") + INDEXES = await get_index_directory(use_cache=query.use_cache) + INDEXES = INDEXES.set_index("index_symbol") + # Create a list of European indices. + EU_INDEXES = INDEXES[INDEXES["source"] == "eu_proprietary_index"] - if query.symbol not in INDEXES and query.symbol not in TICKER_EXCEPTIONS: - raise RuntimeError( - f"The symbol, {query.symbol}, was not found in the CBOE index directory. " - "Use `index_search()` to find supported indices. If the index is European, try `european_index()`." - ) + INTERVAL_DICT = {"1m": "intraday", "1d": "historical"} - def __generate_historical_prices_url( + def _generate_historical_prices_url( symbol, - data_type: Optional[Literal["intraday", "historical"]] = "historical", + interval_type: Literal["intraday", "historical"] = "historical", ) -> str: - """Generate the final URL for historical prices data.""" - url: str = ( - f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}" - ) - url = ( - url + f"/_{symbol}.json" - if symbol in TICKER_EXCEPTIONS or symbol in INDEXES - else url + f"/{symbol}.json" - ) + """Generate the URL for the data.""" + if symbol.replace("^", "") in TICKER_EXCEPTIONS: + interval_type = "intraday" if len(symbols) == 1 else "historical" + _warn( + "Only the most recent trading day is available for this ticker, " + + symbol + ) + if symbol.replace("^", "") in EU_INDEXES.index: + base_url = "https://cdn.cboe.com/api/global/european_indices/" + url = ( + base_url + "index_history/" + if interval_type == "historical" + else base_url + "intraday_chart_data/" + ) + url += f"{symbol.replace('^', '')}.json" + else: + base_url: str = f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{interval_type}" + url = ( + base_url + f"/_{symbol.replace('^', '')}.json" + if symbol.replace("^", "") in TICKER_EXCEPTIONS + or symbol.replace("^", "") in INDEXES.index + else base_url + f"/{symbol.replace('^', '')}.json" + ) + return url - url = ( - __generate_historical_prices_url(query.symbol, "intraday") - if query.interval == "1m" - else __generate_historical_prices_url(query.symbol) - ) - r = make_request(url) + urls = [ + _generate_historical_prices_url(symbol, INTERVAL_DICT[query.interval]) + for symbol in symbols + ] - if r.status_code != 200: - raise RuntimeError(r.status_code) - - if query.interval == "1d": - data = ( - pd.DataFrame(r.json()["data"])[ - ["date", "open", "high", "low", "close", "volume"] - ] - ).set_index("date") - - # Fill in missing data from current or most recent trading session. - - today = pd.to_datetime(datetime.now().date()) - if today.weekday() > 4: - day_minus = today.weekday() - 4 - today = pd.to_datetime(today - timedelta(days=day_minus)) - if today != data.index[-1]: - _today = pd.Series(get_ticker_info(query.symbol)) - today_df = pd.Series(dtype="object") - today_df["open"] = round(_today["open"], 2) - today_df["high"] = round(_today["high"], 2) - today_df["low"] = round(_today["low"], 2) - today_df["close"] = round(_today["close"], 2) - if ( - query.symbol not in INDEXES - and query.symbol not in TICKER_EXCEPTIONS - ): - data = data[data["volume"] > 0] - today_df["volume"] = _today["volume"] - today_df["date"] = today.date() - today_df = pd.DataFrame(today_df).transpose().set_index("date") - - data = pd.concat([data, today_df], axis=0) - - # If ticker is an index there is no volume data and the types must be set. - - if query.symbol in INDEXES or query.symbol in TICKER_EXCEPTIONS: - data = data[["open", "high", "low", "close", "volume"]] - data["open"] = round(data.open.astype(float), 2) - data["high"] = round(data.high.astype(float), 2) - data["low"] = round(data.low.astype(float), 2) - data["close"] = round(data.close.astype(float), 2) - data["volume"] = 0 - - data.index = pd.to_datetime(data.index) - data = data[data["open"] > 0] - - data = data[ - (data.index >= pd.to_datetime(query.start_date)) - & (data.index <= pd.to_datetime(query.end_date)) - ] - - if query.interval == "1m": - data_list = r.json()["data"] - date: List[datetime] = [] - open_: List[float] = [] - high: List[float] = [] - low: List[float] = [] - close: List[float] = [] - volume: List[float] = [] - calls_volume: List[float] = [] - puts_volume: List[float] = [] - total_options_volume: List[float] = [] - - for data in data_list: - date.append(data["datetime"]) - price = data["price"] - volume_data = data["volume"] - open_.append(price["open"]) - high.append(price["high"]) - low.append(price["low"]) - close.append(price["close"]) - volume.append(volume_data["stock_volume"]) - calls_volume.append(volume_data["calls_volume"]) - puts_volume.append(volume_data["puts_volume"]) - total_options_volume.append(volume_data["total_options_volume"]) - - data = pd.DataFrame() - data["date"] = pd.to_datetime(date) - data["open"] = open_ - data["high"] = high - data["low"] = low - data["close"] = close - data["volume"] = volume - data["calls_volume"] = calls_volume - data["puts_volume"] = puts_volume - data["total_options_volume"] = total_options_volume - data = data.set_index("date").sort_index() - data.index = data.index.astype(str) - data = data[data["open"] > 0] - - return data.reset_index().to_dict("records") + return await amake_requests(urls, **kwargs) @staticmethod def transform_data( query: CboeIndexHistoricalQueryParams, data: List[Dict], **kwargs: Any ) -> List[CboeIndexHistoricalData]: """Transform the data to the standard format.""" - return [CboeIndexHistoricalData.model_validate(d) for d in data] + if not data: + raise EmptyDataError() + results = DataFrame() + symbols = query.symbol.split(",") + # Results will be different depending on the interval. + # We will also parse the output from multiple symbols. + for i, item in enumerate(data): + result = DataFrame() + _symbol = symbols[i] + _temp = item["data"] + if query.interval == "1d": + result = DataFrame(_temp) + result["symbol"] = _symbol.replace("_", "").replace("^", "") + result = result.set_index("date") + # Remove the volume column if it exists because volume will a string 0. + if "volume" in result.columns: + result = result.drop(columns="volume") + results = concat([results, result]) + if query.interval == "1m": + _datetime = Series([d["datetime"] for d in _temp]).rename("date") + _price = DataFrame(d["price"] for d in _temp) + result = _price.join(_datetime) + result["symbol"] = _symbol.replace("_", "").replace("^", "") + result = result.set_index("date") + results = concat([results, result]) + results = results.set_index("symbol", append=True).sort_index() + + for c in ["open", "high", "low", "close"]: + if c in results.columns: + results[c] = results[c].astype(float).replace(0, None) + + output = results.dropna(how="all", axis=1).reset_index() + + # When there is only one ticker symbol, the symbol column is redundant. + if len(query.symbol.split(",")) == 1: + output = output.drop(columns="symbol") + # Finally, we apply the user-specified date range because it is not filtered at the source. + output = output[ + (to_datetime(output["date"]) >= to_datetime(query.start_date)) + & ( + to_datetime(output["date"]) + <= to_datetime(query.end_date + timedelta(days=1)) + ) + ] + return [ + CboeIndexHistoricalData.model_validate(d) for d in output.to_dict("records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/index_search.py b/openbb_platform/providers/cboe/openbb_cboe/models/index_search.py index c195e198b28..84667b38654 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/index_search.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/index_search.py @@ -3,8 +3,7 @@ from datetime import time from typing import Any, Dict, List, Optional -import pandas as pd -from openbb_cboe.utils.helpers import Europe, get_cboe_index_directory +from openbb_cboe.utils.helpers import get_index_directory from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.index_search import ( IndexSearchData, @@ -19,22 +18,23 @@ class CboeIndexSearchQueryParams(IndexSearchQueryParams): Source: https://www.cboe.com/ """ - europe: bool = Field( - description="Filter for European indices. False for US indices.", default=False + use_cache: bool = Field( + default=True, + description="When True, the Cboe Index directory will be cached for 24 hours." + + " Set as False to bypass.", ) class CboeIndexSearchData(IndexSearchData): """CBOE Index Search Data.""" - isin: Optional[str] = Field( - description="ISIN code for the index. Valid only for European indices.", - default=None, - ) - region: Optional[str] = Field( - description="Region for the index. Valid only for European indices", - default=None, - ) + __alias_dict__ = { + "symbol": "index_symbol", + "data_delay": "mkt_data_delay", + "open_time": "calc_start_time", + "close_time": "calc_end_time", + } + description: Optional[str] = Field( description="Description for the index.", default=None ) @@ -81,21 +81,25 @@ class CboeIndexSearchFetcher( return CboeIndexSearchQueryParams(**params) @staticmethod - def extract_data( + async def aextract_data( query: CboeIndexSearchQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: """Return the raw data from the CBOE endpoint.""" - symbols = pd.DataFrame() - if query.europe is True: - symbols = pd.DataFrame(Europe.list_indices()) - if query.europe is False: - symbols = get_cboe_index_directory().reset_index() - target = "name" if not query.is_symbol else "symbol" - idx = symbols[target].str.contains(query.query, case=False) - result = symbols[idx] + symbols = await get_index_directory(use_cache=query.use_cache, **kwargs) + symbols.drop(columns=["source"], inplace=True) + if query.is_symbol is True: + result = symbols[ + symbols["index_symbol"].str.contains(query.query, case=False) + ] + else: + result = symbols[ + symbols["name"].str.contains(query.query, case=False) + | symbols["index_symbol"].str.contains(query.query, case=False) + | symbols["description"].str.contains(query.query, case=False) + ] return result.to_dict("records") diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/index_snapshots.py b/openbb_platform/providers/cboe/openbb_cboe/models/index_snapshots.py index aacdb44286f..cd0c703ea62 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/index_snapshots.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/index_snapshots.py @@ -1,23 +1,18 @@ """CBOE Index Snapshots Model.""" from datetime import datetime -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Literal, Optional -import pandas as pd -from openbb_cboe.utils.helpers import ( - EUR_INDEX_COLUMNS, - US_INDEX_COLUMNS, - Europe, - get_cboe_directory, - get_cboe_index_directory, -) from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.index_snapshots import ( IndexSnapshotsData, IndexSnapshotsQueryParams, ) -from openbb_core.provider.utils.helpers import make_request -from pydantic import Field +from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_request +from pandas import DataFrame +from pydantic import Field, field_validator class CboeIndexSnapshotsQueryParams(IndexSnapshotsQueryParams): @@ -26,16 +21,55 @@ class CboeIndexSnapshotsQueryParams(IndexSnapshotsQueryParams): Source: https://www.cboe.com/ """ + region: Literal[None, "us", "eu"] = Field( + default="us", + ) + + @field_validator("region", mode="after", check_fields=False) + @classmethod + def validate_region(cls, v: str): + """Validate region.""" + return "us" if v is None else v + class CboeIndexSnapshotsData(IndexSnapshotsData): """CBOE Index Snapshots Data.""" - isin: Optional[str] = Field( - default=None, - description="ISIN code for the index. Valid only for European indices.", + __alias_dict__ = { + "prev_close": "prev_day_close", + "change": "price_change", + "change_percent": "price_change_percent", + "price": "current_price", + } + bid: Optional[float] = Field(default=None, description="Current bid price.") + ask: Optional[float] = Field(default=None, description="Current ask price.") + open: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("open", "") ) - last_trade_timestamp: Optional[datetime] = Field( - default=None, description="Last trade timestamp for the index." + 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[int] = Field( + default=None, description=DATA_DESCRIPTIONS.get("volume", "") + ) + prev_close: Optional[float] = Field( + default=None, description=DATA_DESCRIPTIONS.get("prev_close", "") + ) + change: Optional[float] = Field(default=None, description="Change in price.") + change_percent: Optional[float] = Field( + default=None, description="Change in price as a normalized percentage." + ) + last_trade_time: Optional[datetime] = Field( + default=None, description="Last trade timestamp for the symbol." + ) + status: Optional[str] = Field( + default=None, description="Status of the market, open or closed." ) @@ -53,89 +87,57 @@ class CboeIndexSnapshotsFetcher( return CboeIndexSnapshotsQueryParams(**params) @staticmethod - def extract_data( + async def aextract_data( query: CboeIndexSnapshotsQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: - """Return the raw data from the CBOE endpoint""" - data = pd.DataFrame() + """Return the raw data from the Cboe endpoint""" - if query.region == "US": - r = make_request( - "https://cdn.cboe.com/api/global/delayed_quotes/quotes/all_us_indices.json" - ) + if query.region == "us": + url = "https://cdn.cboe.com/api/global/delayed_quotes/quotes/all_us_indices.json" + if query.region == "eu": + url = "https://cdn.cboe.com/api/global/european_indices/index_quotes/all-indices.json" - if r.status_code != 200: - raise RuntimeError(r.status_code) - - INDEXES = pd.concat( - [get_cboe_index_directory(), get_cboe_directory()], axis=0 - ) - data = pd.DataFrame.from_records(r.json()["data"]) - - data.rename(columns=US_INDEX_COLUMNS, inplace=True) - data["symbol"] = data["symbol"].str.replace("^", "") - data["name"] = "" - data = data.set_index("symbol") - for i in data.index: - if i in INDEXES.index: - data.at[i, "name"] = INDEXES.at[i, "name"] - - data["name"] = data["name"].astype(str) - data["currency"] = "USD" - data = data[ - [ - "name", - "price", - "prev_close", - "change", - "change_percent", - "open", - "high", - "low", - "close", - "currency", - "last_trade_timestamp", - ] - ] - - if query.region == "EU": - r = make_request( - "https://cdn.cboe.com/api/global/european_indices/index_quotes/all-indices.json" - ) - - if r.status_code != 200: - raise RuntimeError(r.status_code) - - data = ( - pd.DataFrame.from_records(r.json()["data"]) - .drop(columns=["symbol"]) - .rename(columns={"index": "symbol"}) - .set_index("symbol") - .round(2) - ) - - INDEXES = pd.DataFrame(Europe.list_indices()).set_index("symbol") - - for i in data.index: - data.loc[i, ("isin")] = INDEXES.at[i, "isin"] - data.loc[i, ("name")] = INDEXES.at[i, "name"] - data.loc[i, ("currency")] = INDEXES.at[i, "currency"] - - data = data[list(EUR_INDEX_COLUMNS.keys())] - data.columns = list(EUR_INDEX_COLUMNS.values()) - - data["change_percent"] = data["change_percent"].fillna(0.0) - - return data.reset_index().to_dict("records") + data = await amake_request(url, **kwargs) + return data.get("data") @staticmethod def transform_data( query: CboeIndexSnapshotsQueryParams, data: dict, **kwargs: Any ) -> List[CboeIndexSnapshotsData]: """Transform the data to the standard format""" - for item in data: - item["name"] = item["name"].replace("/", "-") - - return [CboeIndexSnapshotsData.model_validate(d) for d in data] + if not data: + raise EmptyDataError() + data = DataFrame(data) + percent_cols = [ + "price_change_percent", + "iv30", + "iv30_change", + "iv30_change_percent", + ] + for col in percent_cols: + if col in data.columns: + data[col] = round(data[col] / 100, 6) + data = ( + data.replace(0, None) + .replace("", None) + .dropna(how="all", axis=1) + .fillna("N/A") + .replace("N/A", None) + ) + drop_cols = [ + "exchange_id", + "seqno", + "index", + "security_type", + "ask_size", + "bid_size", + ] + for col in drop_cols: + if col in data.columns: + data = data.drop(columns=col) + return [ + CboeIndexSnapshotsData.model_validate(d) + for d in data.to_dict(orient="records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/market_indices.py b/openbb_platform/providers/cboe/openbb_cboe/models/market_indices.py deleted file mode 100644 index 1c029976637..00000000000 --- a/openbb_platform/providers/cboe/openbb_cboe/models/market_indices.py +++ /dev/null @@ -1,211 +0,0 @@ -"""CBOE Market Indices Model.""" - -from datetime import datetime, timedelta -from typing import Any, Dict, List, Literal, Optional - -import pandas as pd -from openbb_cboe.utils.helpers import ( - TICKER_EXCEPTIONS, - get_cboe_index_directory, - get_ticker_info, -) -from openbb_core.provider.abstract.fetcher import Fetcher -from openbb_core.provider.standard_models.market_indices import ( - MarketIndicesData, - MarketIndicesQueryParams, -) -from openbb_core.provider.utils.helpers import make_request -from pydantic import Field - - -class CboeMarketIndicesQueryParams(MarketIndicesQueryParams): - """CBOE Market Indices Query. - - Source: https://www.cboe.com/ - """ - - interval: Literal["1d", "1m"] = Field( - description="Use interval, 1m, for intraday prices during the most recent trading period.", - default="1d", - ) - - -class CboeMarketIndicesData(MarketIndicesData): - """CBOE Market Indices Data.""" - - calls_volume: Optional[float] = Field( - default=None, - description="Number of calls traded during the most recent trading period. Only valid if interval is 1m.", - ) - puts_volume: Optional[float] = Field( - default=None, - description="Number of puts traded during the most recent trading period. Only valid if interval is 1m.", - ) - total_options_volume: Optional[float] = Field( - default=None, - description="Total number of options traded during the most recent trading period. Only valid if interval is 1m.", - ) - - -class CboeMarketIndicesFetcher( - Fetcher[ - CboeMarketIndicesQueryParams, - List[CboeMarketIndicesData], - ] -): - """Transform the query, extract and transform the data from the CBOE endpoints.""" - - @staticmethod - def transform_query(params: Dict[str, Any]) -> CboeMarketIndicesQueryParams: - """Transform the query. Setting the start and end dates for a 1 year period.""" - return CboeMarketIndicesQueryParams(**params) - - @staticmethod - def extract_data( - query: CboeMarketIndicesQueryParams, - credentials: Optional[Dict[str, str]], - **kwargs: Any, - ) -> List[Dict]: - """Return the raw data from the CBOE endpoint.""" - # Synbol directories are cached for seven days and are used for error handling and URL generation. - INDEXES = get_cboe_index_directory().index.to_list() - query.symbol = query.symbol.upper() - data = pd.DataFrame() - if "^" in query.symbol: - query.symbol = query.symbol.replace("^", "") - query.interval = ( - "1m" if query.symbol == "NDX" and query.interval == "1d" else query.interval - ) - - now = datetime.now() - query.start_date = ( - query.start_date if query.start_date else now - timedelta(days=50000) - ) - query.end_date = query.end_date if query.end_date else now - - if query.symbol not in INDEXES and query.symbol not in TICKER_EXCEPTIONS: - raise RuntimeError( - f"The symbol, {query.symbol}, was not found in the CBOE index directory. " - "Use `index_search()` to find supported indices. If the index is European, try `european_index()`." - ) - - def __generate_historical_prices_url( - symbol, - data_type: Optional[Literal["intraday", "historical"]] = "historical", - ) -> str: - """Generate the final URL for historical prices data.""" - url: str = ( - f"https://cdn.cboe.com/api/global/delayed_quotes/charts/{data_type}" - ) - url = ( - url + f"/_{symbol}.json" - if symbol in TICKER_EXCEPTIONS or symbol in INDEXES - else url + f"/{symbol}.json" - ) - return url - - url = ( - __generate_historical_prices_url(query.symbol, "intraday") - if query.interval == "1m" - else __generate_historical_prices_url(query.symbol) - ) - r = make_request(url) - - if r.status_code != 200: - raise RuntimeError(r.status_code) - - if query.interval == "1d": - data = ( - pd.DataFrame(r.json()["data"])[ - ["date", "open", "high", "low", "close", "volume"] - ] - ).set_index("date") - - # Fill in missing data from current or most recent trading session. - - today = pd.to_datetime(datetime.now().date()) - if today.weekday() > 4: - day_minus = today.weekday() - 4 - today = pd.to_datetime(today - timedelta(days=day_minus)) - if today != data.index[-1]: - _today = pd.Series(get_ticker_info(query.symbol)) - today_df = pd.Series(dtype="object") - today_df["open"] = round(_today["open"], 2) - today_df["high"] = round(_today["high"], 2) - today_df["low"] = round(_today["low"], 2) - today_df["close"] = round(_today["close"], 2) - if ( - query.symbol not in INDEXES - and query.symbol not in TICKER_EXCEPTIONS - ): - data = data[data["volume"] > 0] - today_df["volume"] = _today["volume"] - today_df["date"] = today.date() - today_df = pd.DataFrame(today_df).transpose().set_index("date") - - data = pd.concat([data, today_df], axis=0) - - # If ticker is an index there is no volume data and the types must be set. - - if query.symbol in INDEXES or query.symbol in TICKER_EXCEPTIONS: - data = data[["open", "high", "low", "close", "volume"]] - data["open"] = round(data.open.astype(float), 2) - data["high"] = round(data.high.astype(float), 2) - data["low"] = round(data.low.astype(float), 2) - data["close"] = round(data.close.astype(float), 2) - data["volume"] = 0 - - data.index = pd.to_datetime(data.index) - data = data[data["open"] > 0] - - data = data[ - (data.index >= pd.to_datetime(query.start_date)) - & (data.index <= pd.to_datetime(query.end_date)) - ] - - if query.interval == "1m": - data_list = r.json()["data"] - date: List[datetime] = [] - open_: List[float] = [] - high: List[float] = [] - low: List[float] = [] - close: List[float] = [] - volume: List[float] = [] - calls_volume: List[float] = [] - puts_volume: List[float] = [] - total_options_volume: List[float] = [] - - for i in range(0, len(data_list)): - date.append(data_list[i]["datetime"]) - open_.append(data_list[i]["price"]["open"]) - high.append(data_list[i]["price"]["high"]) - low.append(data_list[i]["price"]["low"]) - close.append(data_list[i]["price"]["close"]) - volume.append(data_list[i]["volume"]["stock_volume"]) - calls_volume.append(data_list[i]["volume"]["calls_volume"]) - puts_volume.append(data_list[i]["volume"]["puts_volume"]) - total_options_volume.append( - data_list[i]["volume"]["total_options_volume"] - ) - data = pd.DataFrame() - data["date"] = pd.to_datetime(date) - data["open"] = open_ - data["high"] = high - data["low"] = low - data["close"] = close - data["volume"] = volume - data["calls_volume"] = calls_volume - data["puts_volume"] = puts_volume - data["total_options_volume"] = total_options_volume - data = data.set_index("date").sort_index() - data.index = data.index.astype(str) - data = data[data["open"] > 0] - - return data.reset_index().to_dict("records") - - @staticmethod - def transform_data( - query: CboeMarketIndicesQueryParams, data: List[Dict], **kwargs: Any - ) -> List[CboeMarketIndicesData]: - """Transform the data to the standard format.""" - return [CboeMarketIndicesData.model_validate(d) for d in data] diff --git a/openbb_platform/providers/cboe/openbb_cboe/models/options_chains.py b/openbb_platform/providers/cboe/openbb_cboe/models/options_chains.py index 4916fb18b55..4f2b51b0ab8 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/models/options_chains.py +++ b/openbb_platform/providers/cboe/openbb_cboe/models/options_chains.py @@ -1,21 +1,23 @@ -"""CBOE Options Chains Model.""" +"""Cboe Options Chains Model.""" +# pylint: disable=invalid-name, unused-argument from datetime import datetime from typing import Any, Dict, List, Optional -import pandas as pd from openbb_cboe.utils.helpers import ( TICKER_EXCEPTIONS, - get_cboe_directory, - get_cboe_index_directory, + get_company_directory, + get_index_directory, ) from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.options_chains import ( OptionsChainsData, OptionsChainsQueryParams, ) -from openbb_core.provider.utils.helpers import make_request -from pydantic import Field, field_validator +from openbb_core.provider.utils.errors import EmptyDataError +from openbb_core.provider.utils.helpers import amake_request +from pandas import DataFrame, DatetimeIndex, Series, to_datetime +from pydantic import Field class CboeOptionsChainsQueryParams(OptionsChainsQueryParams): @@ -24,42 +26,22 @@ class CboeOptionsChainsQueryParams(OptionsChainsQueryParams): Source: https://www.cboe.com/ """ + use_cache: bool = Field( + default=True, + description="When True, the company directories will be cached for" + + "24 hours and are used to validate symbols." + + " The results of the function are not cached. Set as False to bypass.", + ) + class CboeOptionsChainsData(OptionsChainsData): """CBOE Options Chains Data.""" - bid_size: int = Field(description="Bid size for the option.") - ask_size: int = Field(description="Ask size for the option.") - theoretical: float = Field(description="Theoretical value of the option.") - open: float = Field(description="Opening price of the option.") - high: float = Field(description="High price of the option.") - low: float = Field(description="Low price of the option.") - last_trade_price: Optional[float] = Field( - description="Last trade price of the option.", default=None - ) - tick: Optional[str] = Field( - description="Whether the last tick was up or down in price.", default=None - ) - prev_close: float = Field(description="Previous closing price of the option.") - change: float = Field(description="Change in price of the option.") - change_percent: float = Field(description="Change, in percent, of the option.") - implied_volatility: float = Field(description="Implied volatility of the option.") - delta: float = Field(description="Delta of the option.") - gamma: float = Field(description="Gamma of the option.") - vega: float = Field(description="Vega of the option.") - theta: float = Field(description="Theta of the option.") - rho: float = Field(description="Rho of the option.") last_trade_timestamp: Optional[datetime] = Field( description="Last trade timestamp of the option.", default=None ) dte: int = Field(description="Days to expiration for the option.") - @field_validator("expiration", mode="before", check_fields=False) - @classmethod - def date_validate(cls, v): # pylint: disable=E0213 - """Return the datetime object from the date string""" - return datetime.strptime(v, "%Y-%m-%d") - class CboeOptionsChainsFetcher( Fetcher[ @@ -75,19 +57,20 @@ class CboeOptionsChainsFetcher( return CboeOptionsChainsQueryParams(**params) @staticmethod - def extract_data( + async def aextract_data( query: CboeOptionsChainsQueryParams, credentials: Optional[Dict[str, str]], **kwargs: Any, ) -> List[Dict]: - """Return the raw data from the CBOE endpoint""" - symbol = query.symbol.upper() + """Return the raw data from the Cboe endpoint""" - INDEXES = get_cboe_index_directory() - SYMBOLS = get_cboe_directory() + symbol = query.symbol.replace("^", "").split(",")[0] + INDEXES = await get_index_directory(use_cache=query.use_cache) + SYMBOLS = await get_company_directory(use_cache=query.use_cache) + INDEXES = INDEXES.set_index("index_symbol") if symbol not in SYMBOLS.index: - raise RuntimeError(f"{symbol} was not found in the CBOE directory.") + raise RuntimeError(f"{symbol} was not found in the Cboe options directory.") quotes_url = ( f"https://cdn.cboe.com/api/global/delayed_quotes/options/_{symbol}.json" @@ -95,22 +78,29 @@ class CboeOptionsChainsFetcher( else f"https://cdn.cboe.com/api/global/delayed_quotes/options/{symbol}.json" ) - r = make_request(quotes_url) - if r.status_code != 200: - raise RuntimeError(f"No options data found for the symbol, {symbol}.") + return await amake_request(quotes_url) - r_json = r.json() - options_df = pd.DataFrame.from_records(r_json["data"]["options"]) + @staticmethod + def transform_data( + query: CboeOptionsChainsQueryParams, + data: List[Dict], + **kwargs: Any, + ) -> List[CboeOptionsChainsData]: + """Transform the data to the standard format""" + + if not data: + raise EmptyDataError() + + options_df = DataFrame.from_records(data["data"]["options"]) options_df = options_df.rename( columns={ "option": "contract_symbol", "iv": "implied_volatility", - "theo": "theoretical", - "last_trade_price": "last_trade_price", - "last_trade_time": "last_trade_timestamp", + "theo": "theoretical_price", "percent_change": "change_percent", "prev_day_close": "prev_close", + "last_trade_time": "last_trade_timestamp", } ) @@ -126,13 +116,13 @@ class CboeOptionsChainsFetcher( "C", "call" ).str.replace("P", "put") option_df_index.strike = [ele.lstrip("0") for ele in option_df_index.strike] - option_df_index.strike = pd.Series(option_df_index.strike).astype(float) + option_df_index.strike = Series(option_df_index.strike).astype(float) option_df_index.strike = option_df_index.strike * (1 / 1000) option_df_index.strike = option_df_index.strike.to_list() option_df_index.expiration = [ ele.lstrip("1") for ele in option_df_index.expiration ] - option_df_index.expiration = pd.DatetimeIndex( + option_df_index.expiration = DatetimeIndex( option_df_index.expiration, yearfirst=True ).astype(str) option_df_index = option_df_index.drop(columns=["Ticker"]) @@ -142,12 +132,12 @@ class CboeOptionsChainsFetcher( quotes = option_df_index.join(options_df) now = datetime.now() - temp = pd.DatetimeIndex(quotes.expiration) + temp = DatetimeIndex(quotes.expiration) temp_ = (temp - now).days + 1 quotes["dte"] = temp_ quotes["last_trade_timestamp"] = ( - pd.to_datetime(quotes["last_trade_timestamp"], format="%Y-%m-%dT%H:%M:%S") + to_datetime(quotes["last_trade_timestamp"], format="%Y-%m-%dT%H:%M:%S") .fillna(value="-") .replace("-", None) ) @@ -159,15 +149,9 @@ class CboeOptionsChainsFetcher( quotes["bid_size"] = quotes["bid_size"].astype("int64") quotes["ask_size"] = quotes["ask_size"].astype("int64") quotes["prev_close"] = round(quotes["prev_close"], 2) - quotes["change_percent"] = round(quotes["change_percent"], 2) + quotes["change_percent"] = round(quotes["change_percent"] / 100, 4) - return quotes.reset_index().to_dict("records") - - @staticmethod - def transform_data( - query: CboeOptionsChainsQueryParams, - data: dict, - **kwargs: Any, - ) -> List[CboeOptionsChainsData]: - """Transform the data to the standard format""" - return [CboeOptionsChainsData.model_validate(d) for d in data] + return [ + CboeOptionsChainsData.model_validate(d) + for d in quotes.reset_index().to_dict("records") + ] diff --git a/openbb_platform/providers/cboe/openbb_cboe/utils/helpers.py b/openbb_platform/providers/cboe/openbb_cboe/utils/helpers.py index 0d073fd271e..995cf2a2eb8 100644 --- a/openbb_platform/providers/cboe/openbb_cboe/utils/helpers.py +++ b/openbb_platform/providers/cboe/openbb_cboe/utils/helpers.py @@ -1,92 +1,128 @@ -"""CBOE Helpers Module.""" +"""Cboe Helpers""" +# pylint: disable=expression-not-assigned, unused-argument -from datetime import date, timedelta +from datetime import date as dateType from io import BytesIO, StringIO -from typing import Any, Dict, List, Optional +from typing import Any, List, Literal, Optional -import pandas as pd -import requests -import requests_cache +from aiohttp_client_cache import SQLiteBackend +from aiohttp_client_cache.session import CachedSession from openbb_core.app.utils import get_user_cache_directory -from openbb_core.provider.utils.helpers import to_snake_case - -cache_dir = get_user_cache_directory() -cboe_session = requests_cache.CachedSession( - f"{cache_dir}/http/cboe_directories", expire_after=timedelta(days=7) -) +from openbb_core.provider.utils.client import ClientResponse +from openbb_core.provider.utils.helpers import amake_request, to_snake_case +from pandas import DataFrame, read_csv TICKER_EXCEPTIONS = ["NDX", "RUT"] -US_INDEX_COLUMNS = { - "symbol": "symbol", - "name": "name", - "current_price": "price", - "open": "open", - "high": "high", - "low": "low", - "close": "close", - "prev_day_close": "prev_close", - "price_change": "change", - "price_change_percent": "change_percent", - "last_trade_time": "last_trade_timestamp", -} +CONSTITUENTS_EU = Literal[ # pylint: disable=invalid-name + "BAT20P", + "BBE20P", + "BCH20P", + "BCHM30P", + "BDE40P", + "BDEM50P", + "BDES50P", + "BDK25P", + "BEP50P", + "BEPACP", + "BEPBUS", + "BEPCNC", + "BEPCONC", + "BEPCONS", + "BEPENGY", + "BEPFIN", + "BEPHLTH", + "BEPIND", + "BEPNEM", + "BEPTEC", + "BEPTEL", + "BEPUTL", + "BEPXUKP", + "BES35P", + "BEZ50P", + "BEZACP", + "BFI25P", + "BFR40P", + "BFRM20P", + "BIE20P", + "BIT40P", + "BNL25P", + "BNLM25P", + "BNO25G", + "BNORD40P", + "BPT20P", + "BSE30P", + "BUK100P", + "BUK250P", + "BUK350P", + "BUKAC", + "BUKBISP", + "BUKBUS", + "BUKCNC", + "BUKCONC", + "BUKCONS", + "BUKENGY", + "BUKFIN", + "BUKHI50P", + "BUKHLTH", + "BUKIND", + "BUKLO50P", + "BUKMINP", + "BUKNEM", + "BUKSC", + "BUKTEC", + "BUKTEL", + "BUKUTL", +] -EUR_INDEX_COLUMNS = { - "name": "name", - "isin": "isin", - "currency": "currency", - "current_price": "price", - "open": "open", - "high": "high", - "low": "low", - "close": "close", - "prev_day_close": "prev_close", - "price_change": "change", - "price_change_percent": "change_percent", - "last_trade_time": "last_trade_timestamp", -} - -EUR_INDEX_CONSTITUENTS_COLUMNS = { - "symbol": "symbol", - "current_price": "price", - "open": "open", - "high": "high", - "low": "low", - "close": "close", - "volume": "volume", - "seqno": "seqno", - "prev_day_close": "prev_close", - "price_change": "change", - "price_change_percent": "change_percent", - "last_trade_time": "last_trade_timestamp", - "exchange_id": "exchange_id", - "tick": "tick", - "security_type": "type", -} +cache_dir = get_user_cache_directory() +backend = SQLiteBackend(f"{cache_dir}/http/cboe_directories", expire_after=3600 * 24) -def get_cboe_directory(**kwargs) -> pd.DataFrame: - """Get the US Listings Directory for the CBOE. +async def response_callback(response: ClientResponse, _: Any): + """Callback for HTTP Client Response.""" + content_type = response.headers.get("Content-Type", "") + if "application/json" in content_type: + return await response.json() + if "text" in content_type: + return await response.text() + return await response.read() + + +async def get_cboe_data(url, use_cache: bool = True, **kwargs) -> Any: + """Generic Cboe HTTP request.""" + if use_cache is True: + async with CachedSession(cache=backend) as cached_session: + try: + response = await cached_session.get(url, timeout=10, **kwargs) + data = await response_callback(response, None) + finally: + await cached_session.close() + else: + data = await amake_request(url, response_callback=response_callback) + + return data + + +async def get_company_directory(use_cache: bool = True, **kwargs) -> DataFrame: + """ + Get the US Company Directory for Cboe options. If use_cache is True, + the data will be cached for 24 hours. Returns ------- - pd.DataFrame: CBOE_DIRECTORY - DataFrame of the CBOE listings directory + DataFrame: Pandas DataFrame of the Cboe listings directory """ - r = cboe_session.get( - "https://www.cboe.com/us/options/symboldir/equity_index_options/?download=csv", - timeout=10, - ) + url = "https://www.cboe.com/us/options/symboldir/equity_index_options/?download=csv" - if r.status_code != 200: - raise RuntimeError(r.status_code) + results = await get_cboe_data(url, use_cache) - r_json = StringIO(r.text) + response = BytesIO(results) - CBOE_DIRECTORY = pd.read_csv(r_json) + directory = read_csv(response) - CBOE_DIRECTORY = CBOE_DIRECTORY.rename( + directory = directory.rename( columns={ " Stock Symbol": "symbol", " DPM Name": "dpm_name", @@ -95,149 +131,33 @@ def get_cboe_directory(**kwargs) -> pd.DataFrame: } ).set_index("symbol") - return CBOE_DIRECTORY.astype(str) + return directory.astype(str) -def get_cboe_index_directory(**kwargs) -> pd.DataFrame: - """Get the US Listings Directory for the CBOE +async def get_index_directory(use_cache: bool = True, **kwargs) -> DataFrame: + """ + Get the Cboe Index Directory. If use_cache is True, + the data will be cached for 24 hours. Returns - ------- - pd.DataFrame: CBOE_INDEXES + -------- + List[Dict]: A list of dictionaries containing the index information. """ - r = cboe_session.get( - "https://cdn.cboe.com/api/global/us_indices/definitions/all_indices.json", - timeout=10, - ) + url = "https://cdn.cboe.com/api/global/us_indices/definitions/all_indices.json" - if r.status_code != 200: - raise requests.HTTPError(r.status_code) + results = await get_cboe_data(url, use_cache=use_cache) - CBOE_INDEXES = pd.DataFrame(r.json()) + [result.pop("featured") for result in results] + [result.pop("featured_order") for result in results] + [result.pop("display") for result in results] + results = DataFrame(results) + results = results[results["source"] != "morningstar"] - CBOE_INDEXES = CBOE_INDEXES.rename( - columns={ - "calc_end_time": "close_time", - "calc_start_time": "open_time", - "index_symbol": "symbol", - "mkt_data_delay": "data_delay", - }, - ) - - indices_order: List[str] = [ - "symbol", - "name", - "description", - "currency", - "open_time", - "close_time", - "tick_days", - "tick_frequency", - "tick_period", - "time_zone", - "data_delay", - ] - - CBOE_INDEXES = pd.DataFrame(CBOE_INDEXES, columns=indices_order).set_index("symbol") - - idx = ( - (CBOE_INDEXES.time_zone.str.contains("America/Chicago")) - & (CBOE_INDEXES.currency.str.contains("USD")) - & (CBOE_INDEXES.description.str.contains("Daily Risk Control") == 0) - & (CBOE_INDEXES.name.str.contains("OEX%-SML% INDEX") == 0) - & (CBOE_INDEXES.name.str.contains("Defined Risk Volatility Income") == 0) - & (CBOE_INDEXES.description.str.contains("is designed to track") == 0) - ) - - return CBOE_INDEXES[idx] + return results -def get_ticker_info(symbol: str, **kwargs) -> Dict[str, Any]: - symbol = symbol.upper() - SYMBOLS = get_cboe_directory() - INDEXES = get_cboe_index_directory() - data: Dict[str, Any] = {} - - if symbol not in SYMBOLS.index and symbol not in INDEXES.index: - raise RuntimeError(f"Data not found for: {symbol}") - - url = ( - f"https://cdn.cboe.com/api/global/delayed_quotes/quotes/_{symbol}.json" - if symbol in INDEXES.index or symbol in TICKER_EXCEPTIONS - else f"https://cdn.cboe.com/api/global/delayed_quotes/quotes/{symbol}.json" - ) - - r = requests.get(url, timeout=10) - - if r.status_code not in set([200, 403]): - raise requests.HTTPError(r.status_code) - - if r.status_code == 403: - raise RuntimeError(f"Data was not found for, {symbol}.") - - data = r.json()["data"] - - if symbol in SYMBOLS.index.to_list(): - data.update({"name": SYMBOLS.at[symbol, "name"]}) - if symbol in INDEXES.index.to_list(): - data.update({"name": INDEXES.at[symbol, "name"]}) - - _data = pd.DataFrame.from_dict(data, orient="index").transpose() - - _data = _data.rename( - columns={ - "current_price": "price", - "prev_day_close": "prev_close", - "price_change": "change", - "price_change_percent": "change_percent", - "last_trade_time": "last_trade_timestamp", - "security_type": "type", - } - ) - - return _data.transpose()[0].to_dict() - - -def get_ticker_iv(symbol: str, **kwargs) -> Dict[str, float]: - """Get annualized high/low historical and implied volatility over 30/60/90 day windows. - - Parameters - ---------- - symbol: str - The loaded ticker - - Returns - ------- - pd.DataFrame: ticker_iv - """ - - symbol = symbol.upper() - - INDEXES = get_cboe_index_directory().index.to_list() - - quotes_iv_url = ( - "https://cdn.cboe.com/api/global/delayed_quotes/historical_data/_" - f"{symbol}" - ".json" - if symbol in TICKER_EXCEPTIONS or symbol in INDEXES - else f"https://cdn.cboe.com/api/global/delayed_quotes/historical_data/{symbol}.json" - ) - - h_iv = requests.get(quotes_iv_url, timeout=10) - - if h_iv.status_code not in set([200, 403]): - raise requests.HTTPError(h_iv.status_code) - - if h_iv.status_code == 403: - raise RuntimeError(f"Data was not found for, {symbol}.") - - data = pd.DataFrame(h_iv.json())[2:-1]["data"].rename(f"{symbol}") - - return data.to_dict() - - -def list_futures(**kwargs) -> List[dict]: +async def list_futures(**kwargs) -> List[dict]: """List of CBOE futures and their underlying symbols. Returns @@ -246,24 +166,22 @@ def list_futures(**kwargs) -> List[dict]: Pandas DataFrame with results. """ - r = requests.get( - "https://cdn.cboe.com/api/global/delayed_quotes/symbol_book/futures-roots.json", - timeout=10, + r = await get_cboe_data( + "https://cdn.cboe.com/api/global/delayed_quotes/symbol_book/futures-roots.json" ) + data = r.get("data") + [d.pop("sort_order") for d in data] - if r.status_code != 200: - raise requests.HTTPError(r.status_code) - - return r.json()["data"] + return data -def get_settlement_prices( - settlement_date: Optional[date] = None, +async def get_settlement_prices( + settlement_date: Optional[dateType] = None, options: bool = False, archives: bool = False, final_settlement: bool = False, **kwargs, -) -> pd.DataFrame: +) -> DataFrame: """Gets the settlement prices of CBOE futures. Parameters @@ -279,18 +197,20 @@ def get_settlement_prices( Returns ------- - pd.DataFrame + DataFrame Pandas DataFrame with results. """ url = "" - if archives is True: - url = "https://cdn.cboe.com/resources/futures/archive/volume-and-price/CFE_FinalSettlement_Archive.csv" - if settlement_date is not None: - url = f"https://www.cboe.com/us/futures/market_statistics/settlement/csv?dt={settlement_date}" + url = ( + "https://www.cboe.com/us/futures/market_statistics" + + f"/settlement/csv?dt={settlement_date}" + ) if options is True: - url = f"https://www.cboe.com/us/futures/market_statistics/settlement/csv?options=t&dt={settlement_date}" - + url = ( + "https://www.cboe.com/us/futures/market_statistics/" + + f"settlement/csv?options=t&dt={settlement_date}" + ) if settlement_date is None: url = "https://www.cboe.com/us/futures/market_statistics/settlement/csv" if options is True: @@ -299,20 +219,18 @@ def get_settlement_prices( if final_settlement is True: url = "https://www.cboe.com/us/futures/market_statistics/final_settlement_prices/csv/" - r = requests.get(url, timeout=10) + if archives is True: + url = ( + "https://cdn.cboe.com/resources/futures/archive" + + "/volume-and-price/CFE_FinalSettlement_Archive.csv" + ) - if r.status_code != 200: - raise RuntimeError(r.status_code) + response = await get_cboe_data(url, use_cache=False, **kwargs) - data = pd.read_csv(BytesIO(r.content), index_col=None, parse_dates=True) + data = read_csv(StringIO(response), index_col=None, parse_dates=True) if data.empty: - error_string = ( - f"No results found for, {settlement_date}." - if settlement_date is not None - else "No results found." - ) - raise RuntimeError(error_string) + return DataFrame() data.columns = [to_snake_case(c) for c in data.columns] data = data.rename(columns={"expiration_date": "expiration"}) @@ -320,78 +238,4 @@ def get_settlement_prices( if len(data) > 0: return data - return pd.DataFrame() - - -class Europe: - """Class for European CBOE data.""" - - @staticmethod - def get_all_index_definitions(**kwargs) -> Dict[Any, Any]: - """Get the full list of European index definitions. - - Returns - ------- - Dict[Any, Any] - Dictionary with results. - """ - - r = cboe_session.get( - "https://cdn.cboe.com/api/global/european_indices/definitions/all-definitions.json", - timeout=10, - ) - - if r.status_code != 200: - raise requests.HTTPError(r.status_code) - return r.json()["data"] - - @staticmethod - def list_indices(**kwargs) -> List[Dict]: - """Gets names, currencies, ISINs, regions, and symbols for European indices. - - Returns - ------- - Dict[str, str] - List of dictionaries with the results. - """ - - data = Europe.get_all_index_definitions() - data = ( - pd.DataFrame.from_records(pd.DataFrame(data)["index"]) - .drop(columns=["short_name"]) - .rename(columns={"long_name": "name"}) - ) - return data.to_dict("records") - - @staticmethod - def list_index_constituents(symbol: str, **kwargs) -> List[str]: - """List symbols for constituents of a European index. - - Parameters - ---------- - symbol: str - The symbol of the index. - - Returns - ------- - List[str] - List of constituents as ticker symbols. - """ - - SYMBOLS = pd.DataFrame(Europe.list_indices())["symbol"].to_list() - symbol = symbol.upper() - - if symbol not in SYMBOLS: - raise RuntimeError( - f"The symbol, {symbol}, was not found in the CBOE European Index directory.", - ) - - url = f"https://cdn.cboe.com/api/global/european_indices/definitions/{symbol}.json" - r = requests.get(url, timeout=10) - - if r.status_code != 200: - raise requests.HTTPError(r.status_code) - - r_json = r.json()["constituents"] - - return [r_json[i]["constituent_symbol"] for i in range(0, len(r_json))] + return DataFrame() diff --git a/openbb_platform/providers/cboe/poetry.lock b/openbb_platform/providers/cboe/poetry.lock index d0f169a8669..df70e126b1b 100644 --- a/openbb_platform/providers/cboe/poetry.lock +++ b/openbb_platform/providers/cboe/poetry.lock @@ -96,6 +96,32 @@ yarl = ">=1.0,<2.0" [package.extras] speedups = ["Brotli", "aiodns", "brotlicffi"] +[[package]] +name = "aiohttp-client-cache" +version = "0.10.0" +description = "Persistent cache for aiohttp requests" +optional = false +python-versions = ">=3.7,<4.0" +files = [ + {file = "aiohttp_client_cache-0.10.0-py3-none-any.whl", hash = "sha256:67eb7f71663c67b9029da83c250ac5faf231fcaa90734475beb64e1556a5f7eb"}, + {file = "aiohttp_client_cache-0.10.0.tar.gz", hash = "sha256:15753840da9af01f190039a813225f77c82c5032341c48c847d0760813f9e705"}, +] + +[package.dependencies] +aiohttp = ">=3.8,<4.0" +attrs = ">=21.2" +itsdangerous = ">=2.0" +url-normalize = ">=1.4,<2.0" + +[package.extras] +all = ["aioboto3 (>=9.0)", "aiobotocore (>=2.0)", "aiofiles (>=0.6.0)", "aiosqlite (>=0.16)", "motor (>=3.1)", "redis (>=4.2)"] +docs = ["furo (>=2023.8,<2024.0)", "linkify-it-py (>=2.0)", "markdown-it-py (>=2.2)", "myst-parser (>=2.0)", "python-forge (>=18.6,<19.0)", "sphinx (==7.1.2)", "sphinx-autodoc-typehints (>=1.23,<2.0)", "sphinx-automodapi (>=0.15)", "sphinx-copybutton (>=0.3,<0.4)", "sphinx-inline-tabs (>=2023.4)", "sphinxcontrib-apidoc (>=0.3)"] +dynamodb = ["aioboto3 (>=9.0)", "aiobotocore (>=2.0)"] +filesystem = ["aiofiles (>=0.6.0)", "aiosqlite (>=0.16)"] +mongodb = ["motor (>=3.1)"] +redis = ["redis (>=4.2)"] +sqlite = ["aiosqlite (>=0.16)"] + [[package]] name = "aiosignal" version = "1.3.1" @@ -110,6 +136,21 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "aiosqlite" +version = "0.19.0" +description = "asyncio bridge to the standard sqlite3 module" +optional = false +python-versions = ">=3.7" +files = [ + {file = "aiosqlite-0.19.0-py3-none-any.whl", hash = "sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96"}, + {file = "aiosqlite-0.19.0.tar.gz", hash = "sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d"}, +] + +[package.extras] +dev = ["aiounittest (==1.4.1)", "attribution (==1.6.2)", "black (==23.3.0)", "coverage[toml] (==7.2.3)", "flake8 (==5.0.4)", "flake8-bugbear (==23.3.12)", "flit (==3.7.1)", "mypy (==1.2.0)", "ufmt (==2.1.0)", "usort (==1.0.6)"] +docs = ["sphinx (==6.1.3)", "sphinx-mdinclude (==0.5.3)"] + [[package]] name = "annotated-types" version = "0.6.0" @@ -158,21 +199,22 @@ files = [ [[package]] name = "attrs" -version = "23.1.0" +version = "23.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - 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b/openbb_platform/providers/cboe/pyproject.toml @@ -8,7 +8,8 @@ packages = [{ include = "openbb_cboe" }] [tool.poetry.dependencies] python = "^3.8" -requests-cache = "^1.1.0" +aiohttp-client-cache = "^0.10.0" +aiosqlite = "^0.19.0" openbb-core = "^1.1.1" [build-system] diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_available_indices_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_available_indices_fetcher.yaml index b5801faf2ac..2e1cac3c5a5 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_available_indices_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_available_indices_fetcher.yaml @@ -3,9 +3,9 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - - gzip, deflate, br + - gzip, deflate Connection: - keep-alive method: GET @@ -13,586 +13,592 @@ interactions: response: 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izn+AmaKKD9HlGHCpUhssqdKxeZ7bTr5Hub0juLANZzsXT/BB4iH3fVRHPS4q/A6BvkAICCyB35g + AcL/Hv9Cl0btjmzMIn3QVidRNPbF+nmAi+u1CDau9PsfgPBD1MNeAyLY9FgDfucgJ0AURHbBL0zw + BwYYbe8AAAD//wMAayIWd7OVCwA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 8239d67a6aae2d9f-YVR + - 8378710599092d36-YVR Cache-Control: - max-age=5, s-maxage=60, stale-while-revalidate=60 Connection: @@ -602,19 +608,19 @@ interactions: Content-Type: - application/json Date: - - Thu, 09 Nov 2023 23:29:26 GMT - ETag: - - W/"fa453ebe3056864a0f53f381bacee52d" + - Mon, 18 Dec 2023 15:29:28 GMT + Etag: + - W/"97a4335f5c221cefbb981c0876e9c4cb" Last-Modified: - - Thu, 09 Nov 2023 23:00:05 GMT + - Mon, 18 Dec 2023 05:08:03 GMT Server: - cloudflare Transfer-Encoding: - chunked Via: - - 1.1 a757dd17f5ecae04edf16d18f7b8dd3a.cloudfront.net (CloudFront) + - 1.1 1ba6aff812e7fb724bcf5efa0e7c3dec.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - BofZZv75IzkYepVrwXFJyBbCLmt2A2ZVDTMgOK9uRSX22oI98W1S3g== + - 2EAOgaOT_jJFeNalbCKlQNKMpYpiekK4scxyeint_jkBDCbMEBplhw== X-Amz-Cf-Pop: - SEA900-P3 X-Cache: diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_historical_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_historical_fetcher.yaml index 8440ee47964..a03852ae6c6 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_historical_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_historical_fetcher.yaml @@ -3,1558 +3,7 @@ interactions: body: null headers: Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://www.cboe.com/us/options/symboldir/equity_index_options/?download=csv - response: - body: - string: !!binary | - H4sIAAAAAAAAA3LOzy1IzKtU8EvMTdVRCC7JT85WCK7MTcrP0VFwCfCFigfkF5foB5cklmTm53EB - 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GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - Via: - - 1.1 365e59ad1bbb7b57baa147f2406c99bc.cloudfront.net (CloudFront) - X-Amz-Cf-Id: - - OBaYqCmT6Rvd2fakFLFZwJoZq8FKSfJyQ2G1pWaOu0aECXVqtarnrA== - X-Amz-Cf-Pop: - - MIA3-P4 + - SEA900-P3 X-Cache: - RefreshHit from cloudfront x-amz-server-side-encryption: @@ -3817,27 +645,1639 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive method: GET - uri: https://cdn.cboe.com/api/global/delayed_quotes/quotes/AAPL.json + uri: https://cdn.cboe.com/api/global/delayed_quotes/charts/historical/AAPL.json response: body: string: !!binary | - H4sIAAAAAAAAA1xRy27CMBD8FWvPIfIrL9+499BD75ZJLLBI4jQ20BTx79UaEA3HndmZ3Z29QnSD - DdEMEygCnHKxoc2Gl4Q1ihZKMsgIdCYaUOQKYRl2vsfO7fbzA6n2NM92jHqaXWtBEVbxnLOMwM51 - zzIjYMLxjdTB/aJA3NlnWWYE/GTH1C3zWmYEDm5/SHWRvHp/eXjRGjfofVhNPvv+NCAiKadVWRQZ - AXcWFBThMq/KJiMQ7PfoUVTSqhJcSIaDp9medWcW/fIs70PSebo9mHGP+EbkdfUG68nOrR0j0jxn - 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Content-Type: - application/json Date: - - Tue, 26 Sep 2023 19:06:35 GMT - ETag: - - W/"23e87da6795e2433a5ea9cc52e3c77b6" + - Fri, 19 Jan 2024 22:41:59 GMT + Etag: + - W/"408aadf72921193e90fe5b5ee53cea2a" Last-Modified: - - Tue, 26 Sep 2023 19:05:45 GMT + - Fri, 19 Jan 2024 12:18:51 GMT Server: - cloudflare Transfer-Encoding: - chunked Via: - - 1.1 af9b5a8e96971e0d2d7c6fed1b8873b2.cloudfront.net (CloudFront) + - 1.1 649b6b05ca9ae28ccc2413cb40b9b26c.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - zR78kSrQBxi584QMGiTZb4e55iK0pSNnMPXA6SZg8mC2LEyU_p3nRw== + - Dw_sB-A4j-iJnJ2lguxgTfnzD_cgILEmNFVljHfqRM9Y2wYQl0o6AQ== X-Amz-Cf-Pop: - - MIA3-P4 + - SEA900-P3 X-Cache: - Miss from cloudfront x-amz-server-side-encryption: diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_info_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_info_fetcher.yaml deleted file mode 100644 index f637f3648cd..00000000000 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_info_fetcher.yaml +++ /dev/null @@ -1,114 +0,0 @@ -interactions: -- request: - body: null - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://cdn.cboe.com/api/global/delayed_quotes/quotes/AAPL.json - response: - body: - string: !!binary | - H4sIAAAAAAAAA1xRy27CMBD8FWvPIfIrL9+499BD75ZJLLBI4jQ20BTx79UaEA3HndmZ3Z29QnSD - DdEMEygCnHKxoc2Gl4Q1ihZKMsgIdCYaUOQKYRl2vsfO7fbzA6n2NM92jHqaXWtBEVbxnLOMwM51 - zzIjYMLxjdTB/aJA3NlnWWYE/GTH1C3zWmYEDm5/SHWRvHp/eXjRGjfofVhNPvv+NCAiKadVWRQZ - AXcWFBThMq/KJiMQ7PfoUVTSqhJcSIaDp9medWcW/fIs70PSebo9mHGP+EbkdfUG68nOrR0j0jxn - TdU85r5kLG9YvUb/qepcNAKX7U2IOs6msxq/s37MF5OqoErUmL79ebiksDGc6FpMGjp/GSEd2p5m - Fxcdlyk5hejbI9yQWj/z9gcAAP//AwCkZebeDAIAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 80cdc8f7ea139abd-MIA - Cache-Control: - - max-age=0, s-maxage=5 - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 26 Sep 2023 19:06:36 GMT - ETag: - - W/"23e87da6795e2433a5ea9cc52e3c77b6" - Last-Modified: - - Tue, 26 Sep 2023 19:05:45 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - Via: - - 1.1 5888333a47f4bcb4270f45fea45f08bc.cloudfront.net (CloudFront) - X-Amz-Cf-Id: - - R899eJtot2_qu6I8v4eacLquOEAPrpZLQwXmhxiNKOhkh5T0zMGtNQ== - X-Amz-Cf-Pop: - - MIA3-P4 - X-Cache: - - RefreshHit from cloudfront - x-amz-server-side-encryption: - - AES256 - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://cdn.cboe.com/api/global/delayed_quotes/historical_data/AAPL.json - response: - body: - string: !!binary | - H4sIAAAAAAAAA2ySzWoCQRCEX2WZsw7V3dM93XvznkPeQDYkxAV/ApqEIL572ChKRs/9UUV99DEd - xs3b/jBsPlLfJQbLHDFn64h6SC+UZl16HQ5D6rtj2v9sXnbriVwsnp+m07Ddfg7r5Wp8X6W+o/DM - 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a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_quote_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_quote_fetcher.yaml new file mode 100644 index 00000000000..231c560acb4 --- /dev/null +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_quote_fetcher.yaml @@ -0,0 +1,2255 @@ +interactions: +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://www.cboe.com/us/options/symboldir/equity_index_options/?download=csv + response: + body: + string: !!binary | + H4sIAAAAAAAAA3LOzy1IzKtU8EvMTdVRCC7JT85WCK7MTcrP0VFwCfCFigfkF5foB5cklmTm53EB + AAAA//8sjMEKwjAQBe9+xWPPis1F9KihgcJqwRTrtZilBoqFNBE/3xU8Dbx5DG3MB/45p4xbc4cr + uSRZUHeO1uR1UtiYhyATvDxKijmqZ7YqDltDKzLYVxUct3199bDtGc3FwjKOenHce8VJprcESYIu + 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Transfer-Encoding: + - chunked + Vary: + - Host,Accept-Encoding + X-Frame-Options: + - SAMEORIGIN + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://cdn.cboe.com/api/global/us_indices/definitions/all_indices.json + response: + body: + string: !!binary | + H4sIAAAAAAAAA+yd31PjNhDH3++v2OGh087cUZPgo+HN+QFkjhCwDVzbB0bYS6JBtnKSnGuu0/+9 + IwcI9BqwQhxfiN4YOY5W+9nvaqXI5s938Pc7gK2IsOgK0/hK0QS39mFrx913nH3H2Xr/cFkqItS8 + D2RCYBpN9JXzoD1tjFFGgo4U5alub11zhB3HAY+MEX6F8wDanDEiwEfCTgWNELppjH/d3U3liBH9 + jUpkmDfdIFGZwHhrH24Ik08br7iIUWztg5M3U/1NV3KSXHOme/e8i87OvbnJrbqKiSJXMU672HHz + 9pRMB2doquSZiPIbp73GeENTmo87v65odHsVk4nUH+mMUUzaZPLo0o3AL9mD+x5dGKGgXA93y8dB + xoi4v5bg1Tee5l16CQoakV9bQxqRAd96B/+8Xz3VKqH6p0ZULdRiUGtudVBrrhHUwqZuPNTdKvPv + rlH+3bX5tyhVt0Korln+dS3U4qXSJ2gREZOUr55s29P9m5VLBuZaulXD/WRYNlm4JqVTpXBr7ifD + 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+ Transfer-Encoding: + - chunked + Via: + - 1.1 649b6b05ca9ae28ccc2413cb40b9b26c.cloudfront.net (CloudFront) + X-Amz-Cf-Id: + - Qkn2Se4f6pu29qMij4OWyl8XHvr_L-rzQ-KCuArwQUsFv2zEEUd1Dw== + X-Amz-Cf-Pop: + - SEA900-P3 + X-Cache: + - RefreshHit from cloudfront + x-amz-server-side-encryption: + - AES256 + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://cdn.cboe.com/api/global/delayed_quotes/quotes/AAPL.json + response: + body: + string: !!binary | + H4sIAAAAAAAAA2RRy27DIBD8FbRnGwG28eOWew899I4IRgmKbVxDkrpR/r1ax0mU9Dgzu7MDc4Ho + ehui7kdoCAgmspSLlFeEF42omryGhECro4aGXCDM/dZ3OLnZfH6gZI7TZIeoxskZCw3hdU7Lsq4T + AlvXPoiEgA6HO6xuqgruF3fETb3DIiHgRzss05JymRDYu91+xTJLCHT+vJpleMp0PrxdP/nu2C+c + 4EUlBXLulDFkJM0k4mC/B48BWFkzkbMCg42TPalWz+ppWtKiXBRnrDJ7PeyQTwUta8bfBDXaydgh + 4gCnORdiPfxc5JQ94vzfkrRkmKPTIao46dYq7Oi1ni/OGp41ucQO7M9qsnw43ovO4GdD688DLA81 + x8nFWcV5XJxC9OYAV5ReK73+AQAA//8DAJzgkP8SAgAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8378712ceade2db1-YVR + Cache-Control: + - max-age=0, s-maxage=5 + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 18 Dec 2023 15:29:34 GMT + Etag: + - W/"4223667607bda1278badb362b8bf39c8" + Last-Modified: + - Mon, 18 Dec 2023 15:28:52 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + Via: + - 1.1 1ba6aff812e7fb724bcf5efa0e7c3dec.cloudfront.net (CloudFront) + X-Amz-Cf-Id: + - 4IBlyo5hsGlw-pfO7E5U-pW2PekEJLztqt6dztJfHHWoA-mGpcf57w== + X-Amz-Cf-Pop: + - SEA900-P3 + X-Cache: + - Miss from cloudfront + x-amz-server-side-encryption: + - AES256 + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://cdn.cboe.com/api/global/delayed_quotes/historical_data/AAPL.json + response: + body: + string: !!binary | + H4sIAAAAAAAAA2zSTU4CQRAF4KtMeg2d+uuqerNj78IbkDEaIQE1ATWGcHcziBgH1vXlVfVLH8p+ + vX3a7YftW+m7IiQ6Z5lzdiw9ZW9cZl15HPZD6btD2X1tH143o1ws7u/G0fDy8j5slqv186r0HQPV + GUBjDs5os66sPpSW/5lRVVMB0luIePOT8yvH1d2NCAQTTT0xTJmicngQNQgZE49x6xtrpYrIeF1I + NAX9OL+RlwwiEjM2cmknd703agaI2DlM2e2vj83r51iHWGUHkOwJa8qTPs5MK2cLoCEdmpaTOi7s + t1FMR14TAJGpG7F6TBo4s1YlYrwnAgLPnBRwSbNRoZmIukpO3n9mWdMNQAQzJ7sdZ930ixy/AQAA + //8DAFBkPVZiAgAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 8378712fd8792d8a-YVR + Cache-Control: + - max-age=300, s-maxage=600 + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 18 Dec 2023 15:29:35 GMT + Etag: + - W/"d491599312116f1da4f09e1412ad4a94" + Last-Modified: + - Mon, 18 Dec 2023 12:10:49 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + Via: + - 1.1 1ba6aff812e7fb724bcf5efa0e7c3dec.cloudfront.net (CloudFront) + X-Amz-Cf-Id: + - Vn87m_tdozEIIkDHdpzsURjp_3pTEth7rvlHKj_BgmbU7d7YazJixA== + X-Amz-Cf-Pop: + - SEA900-P3 + X-Cache: + - Miss from cloudfront + x-amz-server-side-encryption: + - AES256 + status: + code: 200 + message: OK +version: 1 diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_search_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_search_fetcher.yaml index 92b6f90a8ad..e7fe0b14834 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_search_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_equity_search_fetcher.yaml @@ -3,9 +3,9 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - - br, deflate, gzip + - gzip, deflate Connection: - keep-alive method: GET @@ -14,1564 +14,1473 @@ interactions: body: string: !!binary | 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CF-Cache-Status: - - EXPIRED + - HIT CF-RAY: - - 80913c961d7f9a00-FRA + - 83787123ca222da7-YVR Cache-Control: - public, max-age=1, s-maxage=15, stale-while-revalidate=15 Connection: @@ -1583,9 +1492,9 @@ interactions: Content-Type: - application/octet-stream Date: - - Tue, 19 Sep 2023 10:45:03 GMT + - Mon, 18 Dec 2023 15:29:32 GMT Last-Modified: - - Tue, 19 Sep 2023 09:23:16 GMT + - Mon, 18 Dec 2023 15:29:28 GMT Link: - ; rel="canonical" diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_index_constituents_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_index_constituents_fetcher.yaml deleted file mode 100644 index 363ede2febe..00000000000 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_index_constituents_fetcher.yaml +++ /dev/null @@ -1,424 +0,0 @@ -interactions: -- request: - body: null - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://cdn.cboe.com/api/global/european_indices/definitions/all-definitions.json - response: - body: - string: !!binary | - H4sIAAAAAAAAA7TZW0/jRhjG8a8S5boXSYBt4W5mPD6sD/PisZ1DVa3CEm0jkWSVhLa7q/3ulSkg - 0pJD/7SX4Pl5xnN4/Ri+dbfzxWyznS4+d6863f67q4vLq/5Z94dO93a6nXavOj9/e7XJoG0yX97O - /uhedb51N18WN6u79rpW1aAn7dXNr6v19sNyupi1vzc3q1lH3W+26/m0M+i1De5Wy0+Hrn+8X69n - y49f2su2Lh963MyX7Y+B7fV6PlODgX1oup59mq8erjzeovu9vcFqudnOt/ez5Xbz16M8jPjDa6N9 - 0fbFdVUE5W/tvQCtPJQ6gtCoBMrAGSitpo+ZFRMo8zyF0uUNlKIyKp2vOIWy1HQreO2otDmU9bWC - srH0fDYJPWaNs1AOk1b+8mD/XVXVdn9V1bO7T/P7xd6qunv9pKoaXexW1cdbnFpVn0e7pzTq5GbP - BB6TJtWU2oDKyFNZRiNKJxZK47IS0sDmtNcgodJmdDfYuiwgTbWBMnMV3YK5zegk+bimi+pdRgdc - GyxzuqhNJFAOg1aS6mri/dXV/z7ffp2t76bL270V9p9tXlZZE4evVtnr4HK3yr64zamV9nnk+yqt - Lr7umc1jNDNQmrCEMrJ4uFHSUBq7jNK0SCjNXEFpYT2mDk+TRDGlpYug9CannfoIz5JPUkVphmfJ - lxbTCk9TrT1dnEldtr2yipufnVRy8/ltx0w/d85OKL27bU8qwfbH/6AEPz3KnkIaHFrWw1YrW3Kb - 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keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 26 Sep 2023 19:06:40 GMT - ETag: - - W/"25b766cdc019517f7bcf69395b61c7bc" - Last-Modified: - - Tue, 26 Sep 2023 16:59:59 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - Via: - - 1.1 cad07acdf97efe1eced66076ba0912e0.cloudfront.net (CloudFront) - X-Amz-Cf-Id: - - EYlB_xpgHJJnqIfDY_9OxtLV6vykoWQeYfXSBWj595M6o_Mhnx5WrA== - X-Amz-Cf-Pop: - - MIA3-P4 - X-Cache: - - Miss from cloudfront - x-amz-server-side-encryption: - - AES256 - status: - code: 200 - message: OK -version: 1 diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_indices_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_indices_fetcher.yaml deleted file mode 100644 index 0bf7d01ea39..00000000000 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_european_indices_fetcher.yaml +++ /dev/null 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s-maxage=86400, stale-while-revalidate=60 - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 26 Sep 2023 19:06:41 GMT - ETag: - - W/"fdfdd74fd904414d95924bf31468f8fe" - Last-Modified: - - Tue, 26 Sep 2023 06:30:08 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - Via: - - 1.1 7aea57f307e043300c172e8eaaa89c9c.cloudfront.net (CloudFront) - X-Amz-Cf-Id: - - enjH_Fruj0aWwcAIqcNwIPFa9-TQxYILSoaVj4KlRfWF1BsVDeix6A== - X-Amz-Cf-Pop: - - MIA3-P4 - X-Cache: - - RefreshHit from cloudfront - x-amz-server-side-encryption: - - AES256 - status: - code: 200 - message: OK -version: 1 diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_futures_curve_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_futures_curve_fetcher.yaml index 754546b6f4d..6b4e143b8bb 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_futures_curve_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_futures_curve_fetcher.yaml @@ -3,31 +3,32 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive + Host: + - www.cboe.com method: GET uri: https://www.cboe.com/us/futures/market_statistics/settlement/csv response: - body: - string: '' + body: {} headers: CF-Cache-Status: - EXPIRED CF-RAY: - - 80cdc9017d2e0a3e-MIA + - 837871329cae6063-YVR Connection: - keep-alive Content-Type: - text/html; charset=utf-8 Date: - - Tue, 26 Sep 2023 19:06:37 GMT + - Mon, 18 Dec 2023 15:29:35 GMT Link: - ; rel="canonical" Location: - - https://www.cboe.com/us/futures/market_statistics/settlement/csv/ + - /us/futures/market_statistics/settlement/csv/ Server: - cloudflare Strict-Transport-Security: @@ -45,149 +46,46 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive + Host: + - www.cboe.com method: GET uri: https://www.cboe.com/us/futures/market_statistics/settlement/csv/ response: body: string: !!binary | - H4sIAAAAAAAAA3STy07DMBBF90j8Ax9gu57xK15SQZ+KVAkRBXaldFEJKKqKBH+PH3ViR83Gm3Pn - 5vp6sjkd3392Z/L09/l2/CCPv9+H0/Z8OH7dPWzPe7I5HXb725umJU0r7ORZEOQoKLcUDQHNLL9A - ySfNBQKnXBIwjKsEIYcABSxQ5ZG0RqZJkWNUAWPnKydtokA5lDRnECZtZTDB1wSRIidQMd4PzqRn - 0jlSMJ5V0kCC8wSRgrumZdzlTXCRoAiulgmAbnKVoAy2lhkUHVwnqCiih1UXp05Ih4LcF01gtYP1 - eH0Rj5YQ8VgNkY4WEfFoFRGPlLGcLl6IP4qNcXeWyIRSuWDwuk6gqkKQxb8ItCkEWYYgEMzoIFjO - iT+GGdA58JwPIqBwl8z5IIHjsvAfBEDJpE94X0+B+KP7p2IAK5UJT98LmiKBdeMMeC5oiwjBQclc - EDOGZ4yf8KuXC2b9QwYH4dYPcsG8uIVzAKZ0Llj0ux1DasaLkKt+v71A66Fg3W85F9cE3W9gooPr - wTf5DwAA//9slMsNwCAMQxeqUEVIgGMHaE/sP0tJBMKkvT/F+dnX3RRoe8bIUbmI3WoB6AWVSCnw - iQAcs3upCouTQEPIHwCW6D/fp8hOAv7BJDKFuFXAlOA/AJLCpihxLGoCmBdZAd/DszZpEpVnBVKA - 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no-cache,no-store,max-age=0,must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 18 Dec 2023 15:36:39 GMT + Etag: + - W/"acdc84c5358e2615dc7091d4088bb8dd" + Last-Modified: + - Mon, 18 Dec 2023 15:36:38 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + Via: + - 1.1 0da9bec11a1bde5ca7f71b28194afd5a.cloudfront.net (CloudFront) + X-Amz-Cf-Id: + - o3XbAh0a7ONPJIV4_hSeD4GnX48cynmu5oszX2uZopAglyFTCtP3MA== + X-Amz-Cf-Pop: + - YVR50-C1 + X-Cache: + - Miss from cloudfront + x-amz-server-side-encryption: + - AES256 + status: + code: 200 + message: OK +version: 1 diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_historical_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_historical_fetcher.yaml index e6b878b3f49..8489066a925 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_historical_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_historical_fetcher.yaml @@ -3,7 +3,650 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://cdn.cboe.com/api/global/us_indices/definitions/all_indices.json + response: + body: + string: !!binary | + H4sIAAAAAAAAA+ybXW/aMBSG7/srjrjeh4FmXbhLgXaopHRJaCvtArnJgVoLNjMOGpv236eEtes0 + tdiMEDF8e0ziN+fJe45thU9H8P0IoBbTNB4hT0aKTbHWglrdaRHSIqT26nF4rqhUz/0gkxJ5vMxH + hmFnFUxwHks2U0zwPN6+Ewh1QsCjC4S3MAyhI9KUSgiQpleSxQg9nuDXX1ez+Syl+R2VzLAIjZGq + TGJSa8GYpvM/gyMhE5S1FpAizPI7jebL6Z1I89k977pbf5A7/axGCVV0lOBqirpTxDldPZyh1LnI + ZFxcuJo1wTHjrHjuYlyx+PMooct5/pPuAuWyQ5dPhsYSv2SP6XsyMEPJRP64tQAnWUrlw9gUR98E + L6b0pihZTN+271lMJ6J2BD9e7Z5qlVCDKyOqFqoe1IZTHdSGYwRVW+rBQz2usv4eG9XfY1t/dak6 + 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stale-while-revalidate=60 + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Fri, 19 Jan 2024 22:41:56 GMT + Etag: + - W/"8177ffeabc9e98591139263ca19fa3c8" + Last-Modified: + - Fri, 19 Jan 2024 22:30:05 GMT + Server: + - cloudflare + Transfer-Encoding: + - chunked + Via: + - 1.1 a5eacd172c2e71f655371662f7ef1a1a.cloudfront.net (CloudFront) + X-Amz-Cf-Id: + - yvhDTEuf9ach4MkpJnuwvI04yExIiX_oj9BhmECQ8GTDMHExuYRnVQ== + X-Amz-Cf-Pop: + - YVR50-C1 + X-Cache: + - Miss from cloudfront + x-amz-server-side-encryption: + - AES256 + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json Accept-Encoding: - gzip, deflate Connection: @@ -13,249 +656,293 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA4Rb264k1Q39ldE8M5bvF34lTyhBAQkCEiR5QPn3yNXQ071d++w3VLQ167h8WV52 - /fH59x9//v6337/7+dfP3376zMjyBesL+yeqbxG/Zf38zafP//ju9+8+f/vpb3/0f33/5w/pC9EX - 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- W/"f1f5926b27faf3b7ebde482a00d68cd2" + - Fri, 19 Jan 2024 22:41:57 GMT + Etag: + - W/"619d970f4394ff910c16fa3bd3219e31" Last-Modified: - - Tue, 26 Sep 2023 19:00:57 GMT + - Fri, 19 Jan 2024 22:00:59 GMT Server: - cloudflare Transfer-Encoding: - chunked Via: - - 1.1 cad07acdf97efe1eced66076ba0912e0.cloudfront.net (CloudFront) + - 1.1 0361f428634a3c0bc42e9b0f23e19ffe.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - d4Az8DcogayqQQzYUVsZNuV62dKHzgKnU7x32a3joTyb1JyS8ipRgw== + - uQeB1j8-LxVY-Ir1fMXLvuq_qXWaPUbm3h-N0ccYHAe5ebZQYYnF3g== X-Amz-Cf-Pop: - - MIA3-P4 - X-Cache: - - Miss from cloudfront - x-amz-server-side-encryption: - - AES256 - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://cdn.cboe.com/api/global/delayed_quotes/quotes/_AAVE10RP.json - response: - body: - string: !!binary | - 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HXQzs1UhOevV2Ajk3OtSsAcQ8ZmtV2FUo0mshUkimm2c2_YGVeHNkQ== - X-Amz-Cf-Pop: - - MIA3-P4 + - SEA900-P3 X-Cache: - Miss from cloudfront x-amz-server-side-encryption: diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_search_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_search_fetcher.yaml index f61ad5f4699..9535f0af258 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_search_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_search_fetcher.yaml @@ -3,9 +3,9 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - - gzip, deflate, br + - gzip, deflate Connection: - keep-alive method: GET @@ -13,584 +13,598 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA+yd31PbOBDH3/tX7PBwc51pqZPU0PBmkgCZEgK2+dG7B0bYS6LBllJJhktv7n+/ - 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cd874fd0ce2f81ddd14f2d3033364a5a.cloudfront.net (CloudFront) + - 1.1 969cec48baff75c718c519227c4faa82.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - mA80AYvOeIE2lASamy78e51-y4Y4O0ip3aCfKotwwSL36a--HRCqwQ== + - YhxMScLt-4S4Zxit_1rmAaMMyA3-fLs0eyvqzQh38_DhDLVEKaabdA== X-Amz-Cf-Pop: - SEA900-P3 X-Cache: diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_snapshots_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_snapshots_fetcher.yaml index 3e996d8d06d..ada09236b34 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_snapshots_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_index_snapshots_fetcher.yaml @@ -3,650 +3,84 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - gzip, deflate Connection: - keep-alive method: GET - uri: 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Content-Type: - - application/json - Date: - - Tue, 26 Sep 2023 19:06:42 GMT - ETag: - - W/"f1f5926b27faf3b7ebde482a00d68cd2" - Last-Modified: - - Tue, 26 Sep 2023 19:00:57 GMT - Server: - - cloudflare - Transfer-Encoding: - - chunked - Via: - - 1.1 cad07acdf97efe1eced66076ba0912e0.cloudfront.net (CloudFront) - X-Amz-Cf-Id: - - d4Az8DcogayqQQzYUVsZNuV62dKHzgKnU7x32a3joTyb1JyS8ipRgw== - X-Amz-Cf-Pop: - - MIA3-P4 - X-Cache: - - Miss from cloudfront - x-amz-server-side-encryption: - - AES256 - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://cdn.cboe.com/api/global/delayed_quotes/quotes/_AAVE10RP.json - response: - body: - string: !!binary | - H4sIAAAAAAAAA2SRwW6DMBBEf8XaM7FsEwz4lkPvVVX1WMsBK7EChmKThEb592qhTdP05p15Gu16 - LhBda0M0bQ+KgGAiXbFyJSThpWJSpRISArWJBhS5QJjabdcg+b7ZvD1x9vKMfrDVOLg46Tj1Fl3n - 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-version: 1 diff --git a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_options_chains_fetcher.yaml b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_options_chains_fetcher.yaml index 80b9754378c..7e186ed3dd7 100644 --- a/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_options_chains_fetcher.yaml +++ b/openbb_platform/providers/cboe/tests/record/http/test_cboe_fetchers/test_cboe_options_chains_fetcher.yaml @@ -3,9 +3,9 @@ interactions: body: null headers: Accept: - - '*/*' + - application/json Accept-Encoding: - - gzip, deflate, br + - gzip, deflate Connection: - keep-alive method: GET @@ -13,588 +13,590 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAAwAAAP//7JrRcqIwFIbv+xQZrrvTiGJX76jartM6dANWO3vBpHBUpkDciM66O/vu - O2DrdNtaEyswtrk9AfJzPv+cE+KPI/TnCCHNo6HnQuy7SRCB1kRaxWhi3MRYO14PzxLKk00XzDmH - 2FumI327vQr6MPN4ME0CFqfx1h0DVMEYmXQB6AT1bdRmYUg5IkDDax54gLqxD78e7g5m05CmT0z4 - 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CF-RAY: - - 8239d1b8aff56064-YVR + - 837871087ce37106-YVR Cache-Control: - max-age=5, s-maxage=60, stale-while-revalidate=60 Connection: @@ -604,23 +606,23 @@ interactions: Content-Type: - application/json Date: - - Thu, 09 Nov 2023 23:26:11 GMT - ETag: - - W/"fa453ebe3056864a0f53f381bacee52d" + - Mon, 18 Dec 2023 15:29:28 GMT + Etag: + - W/"97a4335f5c221cefbb981c0876e9c4cb" Last-Modified: - - Thu, 09 Nov 2023 23:00:05 GMT + - Mon, 18 Dec 2023 05:08:03 GMT Server: - cloudflare Transfer-Encoding: - chunked Via: - - 1.1 821c432df4ed6570377b35b5a3b04598.cloudfront.net (CloudFront) + - 1.1 969cec48baff75c718c519227c4faa82.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - F003FfjIiDemi4S2pjG4zPHf6SXkZajbcf-RlPoh9Xv6_zmDaoZRJQ== + - EFnfT5ZrG4vgnx555CRyaP3JIVguGiMGUogVBfR29AESGtCi_SKW8A== X-Amz-Cf-Pop: - SEA900-P3 X-Cache: - - Miss from cloudfront + - RefreshHit from cloudfront x-amz-server-side-encryption: - AES256 status: @@ -630,9 +632,9 @@ interactions: body: null headers: Accept: - - '*/*' + 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W/"549bc7dced2d79d97e3973ec59ea0002" Last-Modified: - - Thu, 09 Nov 2023 23:25:42 GMT + - Mon, 18 Dec 2023 15:29:30 GMT Server: - cloudflare Transfer-Encoding: - chunked Via: - - 1.1 cd874fd0ce2f81ddd14f2d3033364a5a.cloudfront.net (CloudFront) + - 1.1 649b6b05ca9ae28ccc2413cb40b9b26c.cloudfront.net (CloudFront) X-Amz-Cf-Id: - - D-AdynUqru3Fxi3V-D1rT2QVzbVAgJ29DOkjt0_KUMi8Sa9B9Nb4kQ== + - WsrAErpbVxhhL9duhyoR8bB0HWDylRjSbtgPkiKspaFr7OVcK6CmJg== X-Amz-Cf-Pop: - SEA900-P3 X-Cache: diff --git a/openbb_platform/providers/cboe/tests/test_cboe_fetchers.py b/openbb_platform/providers/cboe/tests/test_cboe_fetchers.py index 0fb8bc7d46a..50edcec1e42 100644 --- a/openbb_platform/providers/cboe/tests/test_cboe_fetchers.py +++ b/openbb_platform/providers/cboe/tests/test_cboe_fetchers.py @@ -1,7 +1,10 @@ """CBOE Fetchers Tests. The CBOE provider extension uses request caching. -So, when an item like a symbol directory is already cached, the cassette recorder does + +For tests, set all functions using cache with the `use_cache` parameter to `False`. + +When an item like a symbol directory is already cached, the cassette recorder does not record the request event. If functions share a cached resource, it will only capture the cassette for the first instance. @@ -13,23 +16,13 @@ from datetime import date import pytest from openbb_cboe.models.available_indices import CboeAvailableIndicesFetcher from openbb_cboe.models.equity_historical import CboeEquityHistoricalFetcher -from openbb_cboe.models.equity_info import CboeEquityInfoFetcher +from openbb_cboe.models.equity_quote import CboeEquityQuoteFetcher from openbb_cboe.models.equity_search import CboeEquitySearchFetcher -from openbb_cboe.models.european_index_constituents import ( - CboeEuropeanIndexConstituentsFetcher, -) -from openbb_cboe.models.european_indices import ( - CboeEuropeanIndicesFetcher, -) from openbb_cboe.models.futures_curve import CboeFuturesCurveFetcher -from openbb_cboe.models.index_historical import ( - CboeIndexHistoricalFetcher, -) +from openbb_cboe.models.index_constituents import CboeIndexConstituentsFetcher +from openbb_cboe.models.index_historical import CboeIndexHistoricalFetcher from openbb_cboe.models.index_search import CboeIndexSearchFetcher from openbb_cboe.models.index_snapshots import CboeIndexSnapshotsFetcher -from openbb_cboe.models.market_indices import ( - CboeMarketIndicesFetcher, -) from openbb_cboe.models.options_chains import CboeOptionsChainsFetcher from openbb_core.app.service.user_service import UserService @@ -38,33 +31,6 @@ test_credentials = UserService().default_user_settings.credentials.model_dump( ) -@pytest.mark.record_http -def test_cboe_available_indices_fetcher(credentials=test_credentials): - params = {} - - fetcher = CboeAvailableIndicesFetcher() - result = fetcher.test(params, credentials) - assert result is None - - -@pytest.mark.record_http -def test_cboe_index_search_fetcher(credentials=test_credentials): - params = {} - - fetcher = CboeIndexSearchFetcher() - result = fetcher.test(params, credentials) - assert result is None - - -@pytest.mark.record_http -def test_cboe_options_chains_fetcher(credentials=test_credentials): - params = {"symbol": "AAPL"} - - fetcher = CboeOptionsChainsFetcher() - result = fetcher.test(params, credentials) - assert result is None - - @pytest.fixture(scope="module") def vcr_config(): return { @@ -76,10 +42,28 @@ def vcr_config(): @pytest.mark.record_http -def test_cboe_equity_search_fetcher(credentials=test_credentials): - params = {} +def test_cboe_index_historical_fetcher(credentials=test_credentials): + params = {"symbol": "AAVE10RP", "use_cache": False} - fetcher = CboeEquitySearchFetcher() + fetcher = CboeIndexHistoricalFetcher() + result = fetcher.test(params, credentials) + assert result is None + + +@pytest.mark.record_http +def test_cboe_index_constituents_fetcher(credentials=test_credentials): + params = {"symbol": "BUKBUS"} + + fetcher = CboeIndexConstituentsFetcher() + result = fetcher.test(params, credentials) + assert result is None + + +@pytest.mark.record_http +def test_cboe_index_search_fetcher(credentials=test_credentials): + params = {"query": "uk", "use_cache": False} + + fetcher = CboeIndexSearchFetcher() result = fetcher.test(params, credentials) assert result is None @@ -91,6 +75,7 @@ def test_cboe_equity_historical_fetcher(credentials=test_credentials): "start_date": date(2023, 1, 1), "end_date": date(2023, 1, 10), "interval": "1d", + "use_cache": False, } fetcher = CboeEquityHistoricalFetcher() @@ -99,10 +84,37 @@ def test_cboe_equity_historical_fetcher(credentials=test_credentials): @pytest.mark.record_http -def test_cboe_equity_info_fetcher(credentials=test_credentials): - params = {"symbol": "AAPL"} +def test_cboe_available_indices_fetcher(credentials=test_credentials): + params = {"use_cache": False} - fetcher = CboeEquityInfoFetcher() + fetcher = CboeAvailableIndicesFetcher() + result = fetcher.test(params, credentials) + assert result is None + + +@pytest.mark.record_http +def test_cboe_options_chains_fetcher(credentials=test_credentials): + params = {"symbol": "AAPL", "use_cache": False} + + fetcher = CboeOptionsChainsFetcher() + result = fetcher.test(params, credentials) + assert result is None + + +@pytest.mark.record_http +def test_cboe_equity_search_fetcher(credentials=test_credentials): + params = {"query": "ETF", "use_cache": False} + + fetcher = CboeEquitySearchFetcher() + result = fetcher.test(params, credentials) + assert result is None + + +@pytest.mark.record_http +def test_cboe_equity_quote_fetcher(credentials=test_credentials): + params = {"symbol": "AAPL", "use_cache": False} + + fetcher = CboeEquityQuoteFetcher() result = fetcher.test(params, credentials) assert result is None @@ -116,49 +128,9 @@ def test_cboe_futures_curve_fetcher(credentials=test_credentials): assert result is None -@pytest.mark.record_http -def test_cboe_european_index_constituents_fetcher(credentials=test_credentials): - params = {"symbol": "BUKBUS"} - - fetcher = CboeEuropeanIndexConstituentsFetcher() - result = fetcher.test(params, credentials) - assert result is None - - -@pytest.mark.record_http -def test_cboe_european_indices_fetcher(credentials=test_credentials): - params = { - "symbol": "BUKBUS", - "start_date": date(2023, 1, 1), - "end_date": date(2023, 1, 10), - } - - fetcher = CboeEuropeanIndicesFetcher() - result = fetcher.test(params, credentials) - assert result is None - - -@pytest.mark.record_http -def test_cboe_market_indices_fetcher(credentials=test_credentials): - params = {"symbol": "AAVE10RP"} - - fetcher = CboeMarketIndicesFetcher() - result = fetcher.test(params, credentials) - assert result is None - - -@pytest.mark.record_http -def test_cboe_index_historical_fetcher(credentials=test_credentials): - params = {"symbol": "AAVE10RP"} - - fetcher = CboeIndexHistoricalFetcher() - result = fetcher.test(params, credentials) - assert result is None - - @pytest.mark.record_http def test_cboe_index_snapshots_fetcher(credentials=test_credentials): - params = {} + params = {"region": "eu"} fetcher = CboeIndexSnapshotsFetcher() result = fetcher.test(params, credentials) diff --git a/openbb_platform/providers/fmp/openbb_fmp/models/index_constituents.py b/openbb_platform/providers/fmp/openbb_fmp/models/index_constituents.py index f38ae45c378..3e11243edc2 100644 --- a/openbb_platform/providers/fmp/openbb_fmp/models/index_constituents.py +++ b/openbb_platform/providers/fmp/openbb_fmp/models/index_constituents.py @@ -1,15 +1,19 @@ """FMP Index Constituents Model.""" -from datetime import datetime -from typing import Any, Dict, List, Optional +from datetime import ( + date as dateType, + datetime, +) +from typing import Any, Dict, List, Literal, Optional, Union from openbb_core.provider.abstract.fetcher import Fetcher from openbb_core.provider.standard_models.index_constituents import ( IndexConstituentsData, IndexConstituentsQueryParams, ) +from openbb_core.provider.utils.descriptions import DATA_DESCRIPTIONS from openbb_fmp.utils.helpers import get_data_many -from pydantic import field_validator +from pydantic import Field, field_validator class FMPIndexConstituentsQueryParams(IndexConstituentsQueryParams): @@ -20,11 +24,41 @@ class FMPIndexConstituentsQueryParams(IndexConstituentsQueryParams): https://site.financialmodelingprep.com/developer/docs/list-of-nasdaq-companies-api/ """ + index: Literal["dowjones", "sp500", "nasdaq"] = Field( + default="dowjones", + ) + class FMPIndexConstituentsData(IndexConstituentsData): """FMP Index Constituents Data.""" - __alias_dict__ = {"headquarter": "headQuarter"} + __alias_dict__ = { + "headquarter": "headQuarter", + "date_first_added": "dateFirstAdded", + "sub_sector": "subSector", + } + + sector: str = Field( + description="Sector the constituent company in the index belongs to." + ) + sub_sector: Optional[str] = Field( + default=None, + description="Sub-sector the constituent company in the index belongs to.", + ) + headquarter: Optional[str] = Field( + default=None, + description="Location of the headquarter of the constituent company in the index.", + ) + date_first_added: Optional[Union[dateType, str]] = Field( + default=None, description="Date the constituent company was added to the index." + ) + cik: Optional[int] = Field( + description=DATA_DESCRIPTIONS.get("cik", ""), default=None + ) + founded: Optional[Union[dateType, str]] = Field( + default=None, + description="Founding year of the constituent company in the index.", + ) @field_validator("dateFirstAdded", mode="before", check_fields=False) @classmethod diff --git a/openbb_platform/providers/intrinio/openbb_intrinio/models/options_chains.py b/openbb_platform/providers/intrinio/openbb_intrinio/models/options_chains.py index 108d1f8f2fe..08c31786ebd 100644 --- a/openbb_platform/providers/intrinio/openbb_intrinio/models/options_chains.py +++ b/openbb_platform/providers/intrinio/openbb_intrinio/models/options_chains.py @@ -28,7 +28,7 @@ class IntrinioOptionsChainsQueryParams(OptionsChainsQueryParams): """ date: Optional[dateType] = Field( - description="Date for which the options chains are returned." + default=None, description="The end-of-day date for options chains data." ) @@ -42,7 +42,19 @@ class IntrinioOptionsChainsData(OptionsChainsData): "option_type": "type", } - @field_validator("expiration", "date", mode="before", check_fields=False) + exercise_style: Optional[str] = Field( + default=None, + description="The exercise style of the option, American or European.", + ) + + @field_validator( + "date", + "close_time", + "close_ask_time", + "close_bid_time", + mode="before", + check_fields=False, + ) @classmethod def date_validate(cls, v): # pylint: disable=E0213 """Return the datetime object from the date string.""" @@ -60,15 +72,12 @@ class IntrinioOptionsChainsFetcher( @staticmethod def transform_query(params: Dict[str, Any]) -> IntrinioOptionsChainsQueryParams: """Transform the query.""" - transform_params = params - - now = datetime.now().date() - if params.get("date") is None: - transform_params["date"] = (now - timedelta(days=1)).strftime("%Y-%m-%d") - elif isinstance(params["date"], dateType): - transform_params["date"] = params["date"].strftime("%Y-%m-%d") - else: - transform_params["date"] = parser.parse(params["date"]).date() + transform_params = params.copy() + if params.get("date") is not None: + if isinstance(params["date"], dateType): + transform_params["date"] = params["date"].strftime("%Y-%m-%d") + else: + transform_params["date"] = parser.parse(params["date"]).date() return IntrinioOptionsChainsQueryParams(**transform_params) @@ -89,18 +98,24 @@ class IntrinioOptionsChainsFetcher( f"{base_url}/expirations/{query.symbol}/eod?" f"after={date}&api_key={api_key}" ) - expiration = await get_data_many(url, "expirations", **kwargs) - return [ - f"{base_url}/chain/{query.symbol}/{expiration}/eod?date={query.date}&api_key={api_key}" - for expiration in expiration - ] + expirations = await get_data_many(url, "expirations", **kwargs) + + def generate_url(expiration) -> str: + url = f"{base_url}/chain/{query.symbol}/{expiration}/eod?date=" + if query.date is not None: + url += date + return url + f"&api_key={api_key}" + + return [generate_url(expiration) for expiration in expirations] async def callback(response: ClientResponse, _: Any) -> list: """Return the response.""" response_data = await response.json() return response_data.get("chain", []) - date = get_weekday(query.date) + date = datetime.now().date() if query.date is None else query.date + date = get_weekday(date) + results = await amake_requests(await get_urls(date), callback, **kwargs) if not results: @@ -115,4 +130,7 @@ class IntrinioOptionsChainsFetcher( ) -> List[IntrinioOptionsChainsData]: """Return the transformed data.""" data = [{**item["option"], **item["prices"]} for item in data] + data = sorted( + data, key=lambda x: (x["expiration"], x["strike"], x["type"]), reverse=False + ) return [IntrinioOptionsChainsData.model_validate(d) for d in data] diff --git a/openbb_platform/providers/intrinio/tests/record/http/test_intrinio_fetchers/test_intrinio_options_chains_fetcher.yaml b/openbb_platform/providers/intrinio/tests/record/http/test_intrinio_fetchers/test_intrinio_options_chains_fetcher.yaml index 98089c3b7f1..1bafb9f775d 100644 --- a/openbb_platform/providers/intrinio/tests/record/http/test_intrinio_fetchers/test_intrinio_options_chains_fetcher.yaml +++ b/openbb_platform/providers/intrinio/tests/record/http/test_intrinio_fetchers/test_intrinio_options_chains_fetcher.yaml @@ -13,9 +13,9 @@ interactions: response: body: string: !!binary | - H4sIAMaWZ2UAA0zQMQ7CMAwF0LtkxtK36yaEq6AODAxdAAEDEuLukJRYf3zytx3nnc6v23o/Pdfr - 5ZEOx2SwLFDRnHYNs6iJ1gFURhZD4NdTNnjrGRVvPYQSA7wP0IBzZRKdAxbP8b6nEvCPTX1pZRhB - OYY9QwMq5oRxzwYQMAUgVhggKMeQB9qHVIal5fMFAAD//wMAdhBbt4oBAAA= + H4sIABTfgWUAA0zQMQ7CMAwF0LtkxtK36yaEqyAGBoYugIABCXF3kpZYf3yyv+3kky7v+/I4v5bb + 9ZkOx2SwLFDRnHYds6iJ1gFURhZDoGXKBu+ZUfGeIZQY4OsADThXJtE5YHGO9z3GoEyDEfAfMK3n + VIYRlNuwZ2igLXXCeOkGEDAFIFYYICi3IQ/0r6oMS6fvDwAA//8DAKERWVGkAQAA headers: Connection: - keep-alive @@ -24,1281 +24,7 @@ interactions: Content-Type: - application/json Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-11-10/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMaWZ2UAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= - headers: - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-12-22/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMaWZ2UAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= - headers: - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-11-24/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: 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Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2024-01-05/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMaWZ2UAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= - headers: - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-09-29/eod?api_key=MOCK_API_KEY&date=2023-09-15 - 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application/json - Date: - - Wed, 29 Nov 2023 19:53:42 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2024-09-20/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMaWZ2UAA6ydS5MjN47Hv0ud7QziwdfcJua6h7pvbEz02h12h9uPsNu7OzHh7758pEgAmSml - stWnLomUqvQTQBD4E/z323c/fvj0y9vf/vPfb7/+9uXTr+W//3777tfvP7797e3vf3//D2SX0f3D - OQJX/r198/bl03c/ffx9fbr8/PH/fvv0+4c+9Q0d8rcuf4t15B9ffv/0U3mhMnVxZeK/fquv+t2H - z5/f/vrm7bffP3338Y/6dt9/+PKxz6U6F3yZ+93nX/8oD7oF/frDP//70/ftAb498OGPn24j/ufX - z3/+XMbH8E35Oz7+cnu8/v82jtfnbi/kbs9/+uXLx98//vHl7W8eEn7z9uOnH368Tfj86//eXuvn - D7/39+PyQ3nNf8px9WcxtrzFePr28/p0fdtPP//2+dPH7/9Zfu3yyX3+9OVfbSAxlT/u+4+fv3xo - 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- Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 29 Nov 2023 19:53:43 GMT - Transfer-Encoding: - - chunked - Vary: - - Origin,Accept-Encoding - status: - code: 200 - message: OK -- request: - body: null - headers: - Accept: - - application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-09-22/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMeWZ2UAA+ydS48jR3LHv0ufJSIjIp97W/jqQ98NYzErDVaDHT0gjWwvFvruzsoiK+MfrGI9 - WD1tGDunabKKZPPX/4xHRkb88+W7Hz58+unlT//xz5eff/ny6ef633++fPfz9x9f/vTy5z+//juL - K8z/5hzH4Jx7+ebly6fv/v7x1+vT9eeP//PLp18/jLe+sGP51pVvmeszv3359dPf6wvVWy+u3viP - X4ZX/e7D588vf3zz8suvn777+Nvwdt9/+PJR3Uuh3vvd559/qw+6i6PrD3/566fv8YEPv/399sB/ - /fz59x+Ht/qm/hoff7o9PPxfX9Z+Vq/Tfv7005ePv3787cvLn8jH+gI/fPrbD+2C8s3L55//+3bt - jx9+nV6nvuRf9GXDz+rS+g796evP6ulPP/7y+dPH7/9SP3T93j5/+vKP4ZmSI9cnv//4+cuHdqWj - 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application/json - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - method: GET - uri: https://api-v2.intrinio.com/options/chain/AAPL/2025-09-19/eod?api_key=MOCK_API_KEY&date=2023-09-15 - response: - body: - string: !!binary | - H4sIAMeWZ2UAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= - headers: - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 29 Nov 2023 19:53:43 GMT + - Tue, 19 Dec 2023 18:21:08 GMT Transfer-Encoding: - chunked Vary: @@ -3239,108 +259,142 @@ interactions: response: body: string: !!binary | - H4sIAMiWZ2UAA+ydTZPbOJKG/0udXQxkApkA+jYx1z3UfWOjw+uu6K7octthV+/uRIf/+4KgRGYm - SQmCWDOX8cmSQEnFR4n8wIvEXw+ffvv48sfDT//518OXr28vX8p//3r49OWX54efHv72t6f/QA8O - /N+dQybn3MOHh7eXT78/fzu9XB4//9/Xl28fp0sf0KF/BPcIvrzy/e3by+/ljcqlgysX/uPr+K6f - Pr6+Pvz48PD128un5+/jx/3y8e35fK3Lj0Dl2k+vX76XJ93g8PTg5/9++aU+AecnPn7//fzE/3x5 - /fNzGQ/5Q/k7nv84Pz/+fx6Hp8fijerjlz/enr89f397+Mljuf63l19/e/jpjz9fXz88vH753/N/ - 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+- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-11-17/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABXfgWUAA7ydy44kN3aG36XX6gDPhbfaDbz1QotZ2TAGstQYNaZ1gdQz9nigdzcZEUnyHLIy + GczqFrToqopkVGR+9fPc+a933//43cef373857/e/fLr54+/pH/+6933v/zw4d3Luz/96dt/RwIA + /2/GkMn/vfvm3eeP3//tw2/nj9PXH/7314+/fXe89B0apPcA78Gnn/z++bePf0sLpZduJr3wn7/m + Vb//7tOnd3988+7X3z5+/+H3fLsfvvv84fZaE9+DTa/9/tMvv6dvphfC+cVffv/4f+k79vbl548/ + yVf9GfgF/Qvixsb+x22Nv/z3xx/kOukb51oxmvabgxXDC8YXps3GZsXvfv+bXDF941wR0LTfHKwY + X2z6P61IIa/4j18+/T1fA/xN+gA+/HxbOP+73IjOr5tH2b/++PPnD799+P3zu/TQIX7z7sePf/3x + 9oJPv/zP7dqfvvut/ML5t2ovy183l+a3ofz4/Lr58Yf//fDb9x/zZ/H5n592RNIjfPzp108fP/zw + l/QoCYNPHz//M1/OYEL45t0PHz59/m5/uQFMn91fv/vpp/Nrk5/5848f8s/f7xfkW/zjw1/Pn2OM + 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headers: + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 19 Dec 2023 18:21:09 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2025-09-19/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABXfgWUAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= + headers: + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 19 Dec 2023 18:21:09 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + 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message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2024-01-26/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= + headers: + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 19 Dec 2023 18:21:10 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-12-29/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= + headers: + Connection: + - 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- application/json + Date: + - Tue, 19 Dec 2023 18:21:10 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2023-11-24/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= + headers: + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 19 Dec 2023 18:21:10 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: 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application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2024-01-12/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA6pWSs5IzMxTsoqOrQUAAAD//wMAHQXYeAwAAAA= + headers: + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 19 Dec 2023 18:21:10 GMT + Transfer-Encoding: + - chunked + Vary: + - Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2024-06-21/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA7ydS48kuZGg/0uduxw0mvGVt8Fe9zAHnXaxEHpbBamganWju7Q7WkH/fUm6B2lm + 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Origin,Accept-Encoding + status: + code: 200 + message: OK +- request: + body: null + headers: + Accept: + - application/json + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + method: GET + uri: https://api-v2.intrinio.com/options/chain/AAPL/2026-01-16/eod?api_key=MOCK_API_KEY&date=2023-09-15 + response: + body: + string: !!binary | + H4sIABbfgWUAA7ydS5Mkt7WY/8usyQycB169u3G3XmihlR0OBU1NSBMaigxyZFtW6L8bQGYBOAfo + LiSatxlcTHVloSq7vj7vx78+/fjXH778/dPL//jXp59/+fbl5/TPf3368ec/f/708uk//uMP/w2d + AXD/aQyBSf99+u7Tty8//u3zr9fT6fHn//vLl19/OF/6CQ267w18Dy4989u3X7/8LR2UXnqY9MJ/ + /pJP/fGHr18//fu7T7/8+uXHz7/lt/vzD98+n6+l7038Hmx67Y9ff/4tv/Qw9nrwp9++/L/0EzCP + x9++/CRf9keILxBewB/O8H9/HPKn//Xlz+Wg7vHjrP5H0+Ns+h8OoNCO++G3v+XjsHusj8s/en7c + //756z/yNQjhu/TL//z369j8z8e7BHs9LjeBh3s8/vL3b59//fzbt08v1qU7++uXv/w1/TPf5Nef + /8910E8//FoOSZ8rf6Lumvzwui7/fvPtn8+mi6/H5Wk8bP6CP//645f8BXz759fCRfrwX3765euX + z3/+U7qJ9N1//fLtn59ezIFoHX/36c+fv377IT8GBPbfffrLDz/9VB4njCg9/+2vn/Pz3+cfRE/p + 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IntrinioOptionsChainsFetcher() result = fetcher.test(params, credentials) diff --git a/website/content/platform/data_models/EuropeanIndexConstituents.md b/website/content/platform/data_models/EuropeanIndexConstituents.md deleted file mode 100644 index ee2fc62ff92..00000000000 --- a/website/content/platform/data_models/EuropeanIndexConstituents.md +++ /dev/null @@ -1,80 +0,0 @@ ---- -title: European Index Constituents -description: OpenBB Platform Data Model ---- - - - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - ---- - -## Implementation details - -### Class names - -| Model name | Parameters class | Data class | -| ---------- | ---------------- | ---------- | -| `EuropeanIndexConstituents` | `EuropeanIndexConstituentsQueryParams` | `EuropeanIndexConstituentsData` | - -### Import Statement - -```python -from openbb_core.provider.standard_models.european_index_constituents import ( -EuropeanIndexConstituentsData, -EuropeanIndexConstituentsQueryParams, -) -``` - -## Parameters - - - - -| Name | Type | Description | Default | Optional | -| ---- | ---- | ----------- | ------- | -------- | -| symbol | Union[str, List[str]] | Symbol to get data for. | | False | -| provider | Literal['cboe'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'cboe' if there is no default. | cboe | True | - - - - -## Data - - - - -| Name | Type | Description | -| ---- | ---- | ----------- | -| symbol | str | Symbol representing the entity requested in the data. The symbol is the constituent company in the index. | -| price | float | Current price of the constituent company in the index. | -| open | float | The open price. | -| high | float | The high price. | -| low | float | The low price. | -| close | float | The close price. | -| volume | float | The trading volume. | - - - - -| Name | Type | Description | -| ---- | ---- | ----------- | -| symbol | str | Symbol representing the entity requested in the data. The symbol is the constituent company in the index. | -| price | float | Current price of the constituent company in the index. | -| open | float | The open price. | -| high | float | The high price. | -| low | float | The low price. | -| close | float | The close price. | -| volume | float | The trading volume. | -| prev_close | float | Previous closing price. | -| change | float | Change in price. | -| change_percent | float | Change in price as a percentage. | -| tick | str | Whether the last sale was an up or down tick. | -| last_trade_timestamp | datetime | Last trade timestamp for the symbol. | -| exchange_id | int | The Exchange ID number. | -| seqno | int | Sequence number of the last trade on the tape. | -| asset_type | str | Type of asset. | - - - diff --git a/website/content/platform/data_models/EuropeanIndices.md b/website/content/platform/data_models/EuropeanIndices.md deleted file mode 100644 index 728568cb98a..00000000000 --- a/website/content/platform/data_models/EuropeanIndices.md +++ /dev/null @@ -1,79 +0,0 @@ ---- -title: Historical European Indices -description: OpenBB Platform Data Model ---- - - - -import Tabs from '@theme/Tabs'; -import TabItem from '@theme/TabItem'; - ---- - -## Implementation details - -### Class names - -| Model name | Parameters class | Data class | -| ---------- | ---------------- | ---------- | -| `EuropeanIndices` | `EuropeanIndicesQueryParams` | `EuropeanIndicesData` | - -### Import Statement - -```python -from openbb_core.provider.standard_models.european_indices import ( -EuropeanIndicesData, -EuropeanIndicesQueryParams, -) -``` - -## Parameters - - - - -| Name | Type | Description | Default | Optional | -| ---- | ---- | ----------- | ------- | -------- | -| symbol | Union[str, List[str]] | Symbol to get data for. | | False | -| start_date | Union[date, str] | Start date of the data, in YYYY-MM-DD format. | None | True | -| end_date | Union[date, str] | End date of the data, in YYYY-MM-DD format. | None | True | -| provider | Literal['cboe'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'cboe' if there is no default. | cboe | True | - - - - -| Name | Type | Description | Default | Optional | -| ---- | ---- | ----------- | ------- | -------- | -| symbol | Union[str, List[str]] | Symbol to get data for. | | False | -| start_date | Union[date, str] | Start date of the data, in YYYY-MM-DD format. | None | True | -| end_date | Union[date, str] | End date of the data, in YYYY-MM-DD format. | None | True | -| provider | Literal['cboe'] | The provider to use for the query, by default None. If None, the provider specified in defaults is selected or 'cboe' if there is no default. | cboe | True | -| interval | Literal['1m', '1d'] | Data granularity. | 1d | True | - - - - -## Data - - - - -| Name | Type | Description | -| ---- | ---- | ----------- | -| date | datetime | The date of the data. | -| close | float | The close price. | - - - - -| Name | Type | Description | -| ---- | ---- | ----------- | -| date | datetime | The date of the data. | -| close | float | The close price. | -| open | float | Opening price for the interval. Only valid when interval is 1m. | -| high | float | High price for the interval. Only valid when interval is 1m. | -| low | float | Low price for the interval. Only valid when interval is 1m. | -| utc_datetime | datetime | UTC datetime. Only valid when interval is 1m. | - - - diff --git a/website/metadata/platform_v4_seo_metadata.json b/website/metadata/platform_v4_seo_metadata.json index af09c4cdb7e..a69eb393041 100644 --- a/website/metadata/platform_v4_seo_metadata.json +++ b/website/metadata/platform_v4_seo_metadata.json @@ -2851,53 +2851,6 @@ "index constituents founding year" ] }, - "index.european": { - "title": "european", - "description": "Learn how to retrieve Historical European Indices data using the OBB\n Python library. Understand the available parameters, return values, and data fields.", - "keywords": [ - "Historical European Indices", - "python obb index european", - "symbol parameter", - "start_date parameter", - "end_date parameter", - "provider parameter", - "interval parameter", - "returns", - "data", - "date", - "close price", - "open price", - "high price", - "low price", - "utc datetime" - ] - }, - "index.european_constituents": { - "title": "european_constituents", - "description": "Learn how to get the constituents of select European indices using the\n `obb.index.european_constituents` function in Python. Explore the parameters, return\n values, and data structure.", - "keywords": [ - "European Index Constituents", - "European indices", - "python obb.index.european_constituents", - "symbol", - "provider", - "data", - "price", - "open", - "high", - "low", - "close", - "volume", - "prev_close", - "change", - "change percent", - "tick", - "last trade timestamp", - "exchange ID", - "seqno", - "asset type" - ] - }, "index.fred": { "title": "fred", "description": "Learn how to retrieve Historical Fred Indices close values for selected\n symbols using the OBB Python library. This documentation page provides details on\n the required parameters, their types, and default values. It also explains the structure\n of the returned data and its fields.",