build package

openbb_sdk/providers/fmp/openbb_fmp/utils/helpers.py

@@ -43,7 +43,7 @@ def request(url: str) -> BasicResponse:
         BasicRequest object with status_code and text attributes
     """
     # pylint: disable=import-outside-toplevel
-    from pyodide.http import open_url
+    from pyodide.http import open_url  # type: ignore
 
     response = open_url(url)
     return BasicResponse(response)

openbb_sdk/sdk/core/openbb_core/app/static/package/economy.py

@@ -4,7 +4,7 @@ import datetime
 import typing
 from typing import List, Literal, Optional, Union
 
-from pydantic import validate_arguments
+from pydantic import BaseModel, validate_arguments
 
 import openbb_core.app.model.command_context
 import openbb_core.app.model.results.empty
@@ -186,7 +186,7 @@ class CLASS_economy(Container):
         chart: bool = False,
         provider: Optional[Literal["fred"]] = None,
         **kwargs,
-    ) -> CommandOutput[typing.List]:
+    ) -> CommandOutput[BaseModel]:
         """CPI.
 
 
@@ -371,13 +371,11 @@ class CLASS_economy(Container):
             Unadjusted volume of the symbol.
         change : Optional[float]
             Change in the price of the symbol from the previous day.
-        changePercent : float
+        changePercent : Optional[float]
             Change \\% in the price of the symbol.
-        vwap : float
-            Volume Weighted Average Price of the symbol.
-        label : str
+        label : Optional[str]
             Human readable format of the date.
-        changeOverTime : float
+        changeOverTime : Optional[float]
             Change \\% in the price of the symbol over a period of time.
 
         polygon

openbb_sdk/sdk/core/openbb_core/app/static/package/news.py

@@ -57,9 +57,7 @@ class CLASS_news(Container):
             The published date of the news.
         title : str
             The title of the news.
-        image : Optional[str]
-            The image URL of the news.
-        text : str
+        text : Optional[str]
             The text/body of the news.
         url : str
             The URL of the news.

openbb_sdk/sdk/core/openbb_core/app/static/package/stocks.py

@@ -158,11 +158,11 @@ class CLASS_stocks(Container):
             Unadjusted volume of the symbol.
         change : Optional[float]
             Change in the price of the symbol from the previous day.
-        changePercent : float
+        changePercent : Optional[float]
             Change \\% in the price of the symbol.
-        label : str
+        label : Optional[str]
             Human readable format of the date.
-        changeOverTime : float
+        changeOverTime : Optional[float]
             Change \\% in the price of the symbol over a period of time.
 
         polygon
@@ -367,7 +367,7 @@ class CLASS_stocks(Container):
         publisher : PolygonPublisher
             Publisher of the article.
         tickers : List[str]
-            Tickers covered in the article."""
+            Tickers covered in the article."""  # noqa: E501
         inputs = filter_inputs(
             provider_choices={
                 "provider": provider,
@@ -602,7 +602,7 @@ class CLASS_stocks(Container):
     @validate_arguments
     def quote(
         self,
-        symbol: Optional[str] = None,
+        symbol: str,
         chart: bool = False,
         provider: Optional[Literal["fmp"]] = None,
         **kwargs,
@@ -617,8 +617,8 @@ class CLASS_stocks(Container):
         ----------
         provider: Literal[fmp]
             The provider to use for the query.
-        symbol : Optional[str]
-            Comma separated list of symbols.
+        symbol : ConstrainedStrValue
+            Symbol to get data for.
 
         Returns
         -------

openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_ca.py

@@ -1,9 +1,8 @@
 ### THIS FILE IS AUTO-GENERATED. DO NOT EDIT. ###
 
-import typing
 from typing import Literal, Optional
 
-from pydantic import validate_arguments
+from pydantic import BaseModel, validate_arguments
 
 import openbb_core.app.model.command_context
 import openbb_core.app.model.results.empty
@@ -21,7 +20,7 @@ class CLASS_stocks_ca(Container):
         chart: bool = False,
         provider: Optional[Literal["fmp"]] = None,
         **kwargs,
-    ) -> CommandOutput[typing.List]:
+    ) -> CommandOutput[BaseModel]:
         """Company peers.
 
 

openbb_sdk/sdk/core/openbb_core/app/static/package/stocks_fa.py

@@ -5,7 +5,7 @@ import typing
 from typing import List, Literal, Optional, Union
 
 import pydantic
-from pydantic import validate_arguments
+from pydantic import BaseModel, validate_arguments
 
 import openbb_core.app.model.command_context
 import openbb_core.app.model.results.empty
@@ -2537,7 +2537,7 @@ class CLASS_stocks_fa(Container):
         chart: bool = False,
         provider: Optional[Literal["fmp"]] = None,
         **kwargs,
-    ) -> CommandOutput[typing.List]:
+    ) -> CommandOutput[BaseModel]:
         """Company Overview.
 
 

openbb_sdk/sdk/core/openbb_core/app/static/package/ta.py

@@ -57,7 +57,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> atr_data = obb.ta.atr(data=stock_data.results)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -109,7 +109,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> fib_data = obb.ta.fib(data=stock_data.results, period=120)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -166,7 +166,7 @@ class CLASS_ta(Container):
            >>> from openbb import obb
            >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
            >>> obv_data = obb.ta.obv(data=stock_data.results, offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -219,7 +219,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> fisher_data = obb.ta.fisher(data=stock_data.results, length=14, signal=1)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -275,7 +275,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> adosc_data = obb.ta.adosc(data=stock_data.results, fast=3, slow=10, offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -297,7 +297,7 @@ class CLASS_ta(Container):
     def tv(
         self, chart: bool = False
     ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]:
-        """TradingView."""
+        """TradingView."""  # noqa: E501
         inputs = filter_inputs(
             chart=chart,
         )
@@ -365,7 +365,7 @@ class CLASS_ta(Container):
             >>> bbands = obb.ta.bbands(
             >>>     data=stock_data.results, target="close", length=50, std=2, mamode="sma", offset=0
             >>> )
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -389,7 +389,7 @@ class CLASS_ta(Container):
     def multi(
         self, chart: bool = False
     ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]:
-        """Plot multiple indicators on the same chart."""
+        """Plot multiple indicators on the same chart."""  # noqa: E501
         inputs = filter_inputs(
             chart=chart,
         )
@@ -444,7 +444,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> zlma_data = obb.ta.zlma(data=stock_data.results, target="close", length=50, offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -506,7 +506,7 @@ class CLASS_ta(Container):
            >>> from openbb import obb
            >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
            >>> aroon_data = obb.ta.aroon(data=stock_data.results, length=25, scalar=100)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -565,7 +565,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> sma_data = obb.ta.sma(data=stock_data.results,target="close",length=50,offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -622,7 +622,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> demark_data = obb.ta.demark(data=stock_data.results,offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -677,7 +677,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> vwap_data = obb.ta.vwap(data=stock_data.results,anchor="D",offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -698,7 +698,7 @@ class CLASS_ta(Container):
     def recom(
         self, chart: bool = False
     ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]:
-        """Recommendation."""
+        """Recommendation."""  # noqa: E501
         inputs = filter_inputs(
             chart=chart,
         )
@@ -758,7 +758,7 @@ class CLASS_ta(Container):
            >>> from openbb import obb
            >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
            >>> macd_data = obb.ta.macd(data=stock_data.results,target="close",fast=12,slow=26,signal=9)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -816,7 +816,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> hma_data = obb.ta.hma(data=stock_data.results,target="close",length=50,offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -875,7 +875,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> donchian_data = obb.ta.donchian(data=stock_data.results,lower_length=20,upper_length=20,offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -927,7 +927,7 @@ class CLASS_ta(Container):
             Number of periods for the offset, by default 26.
         lookahead : bool, optional
             drops the Chikou Span Column to prevent potential data leak
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -980,7 +980,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> clenow_data = obb.ta.clenow(data=stock_data.results,period=90)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1037,7 +1037,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> ad_data = obb.ta.ad(data=stock_data.results,offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1091,7 +1091,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> adx_data = obb.ta.adx(data=stock_data.results,length=50,scalar=100.0,drift=1)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1121,7 +1121,7 @@ class CLASS_ta(Container):
     ) -> CommandOutput[typing.List]:
         """
         A Weighted Moving Average puts more weight on recent data and less on past data.
-        This is done by multiplying each bar<EFBFBD>s price by a weighting factor. Because of its
+        This is done by multiplying each bar’s price by a weighting factor. Because of its
         unique calculation, WMA will follow prices more closely than a corresponding Simple
         Moving Average.
 
@@ -1148,7 +1148,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> wma_data = obb.ta.wma(data=stock_data.results, target="close", length=50, offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -1197,7 +1197,7 @@ class CLASS_ta(Container):
         -------
         CommandOutput[List[Data]]
             The CCI data.
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1257,7 +1257,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> rsi_data = obb.ta.rsi(data=stock_data.results, target="close", length=14, scalar=100.0, drift=1)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,
@@ -1280,7 +1280,7 @@ class CLASS_ta(Container):
     def summary(
         self, chart: bool = False
     ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]:
-        """Summary."""
+        """Summary."""  # noqa: E501
         inputs = filter_inputs(
             chart=chart,
         )
@@ -1334,7 +1334,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> stoch_data = obb.ta.stoch(data=stock_data.results, fast_k_period=14, slow_d_period=3, slow_k_period=3)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1356,7 +1356,7 @@ class CLASS_ta(Container):
     def rsp(
         self, chart: bool = False
     ) -> CommandOutput[openbb_core.app.model.results.empty.Empty]:
-        """Relative Strength Performance."""
+        """Relative Strength Performance."""  # noqa: E501
         inputs = filter_inputs(
             chart=chart,
         )
@@ -1412,7 +1412,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> kc_data = obb.ta.kc(data=stock_data.results, length=20, scalar=20, ma_mode="ema", offset=0)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1465,7 +1465,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> cg_data = obb.ta.cg(data=stock_data.results, length=14)
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1548,7 +1548,7 @@ class CLASS_ta(Container):
         >>> from openbb import obb
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> cones_data = obb.ta.cones(data=stock_data.results, lower_q=0.25, upper_q=0.75, model="STD")
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             index=index,
@@ -1611,7 +1611,7 @@ class CLASS_ta(Container):
         >>> stock_data = obb.stocks.load(symbol="TSLA", start_date="2023-01-01", provider="fmp")
         >>> ema_data = obb.ta.ema(data=stock_data.results,target="close",length=50,offset=0)
 
-        """
+        """  # noqa: E501
         inputs = filter_inputs(
             data=data,
             target=target,