Merge branch 'develop' into feature/james-didier-feedback

openbb_platform/providers/cboe/openbb_cboe/models/index_snapshots.py

@@ -21,7 +21,7 @@ class CboeIndexSnapshotsQueryParams(IndexSnapshotsQueryParams):
     Source: https://www.cboe.com/
     """
 
-    region: Literal[None, "us", "eu"] = Field(
+    region: Optional[Literal["us", "eu"]] = Field(
         default="us",
     )
 
@@ -89,7 +89,7 @@ class CboeIndexSnapshotsFetcher(
     @staticmethod
     async def aextract_data(
         query: CboeIndexSnapshotsQueryParams,
-        credentials: Optional[Dict[str, str]],
+        credentials: Optional[Dict[str, str]],  # pylint: disable=unused-argument
         **kwargs: Any,
     ) -> List[Dict]:
         """Return the raw data from the Cboe endpoint"""
@@ -104,12 +104,14 @@ class CboeIndexSnapshotsFetcher(
 
     @staticmethod
     def transform_data(
-        query: CboeIndexSnapshotsQueryParams, data: dict, **kwargs: Any
+        query: CboeIndexSnapshotsQueryParams,  # pylint: disable=unused-argument
+        data: dict,
+        **kwargs: Any,  # pylint: disable=unused-argument
     ) -> List[CboeIndexSnapshotsData]:
         """Transform the data to the standard format"""
         if not data:
             raise EmptyDataError()
-        data = DataFrame(data)
+        df = DataFrame(data)
         percent_cols = [
             "price_change_percent",
             "iv30",
@@ -117,10 +119,10 @@ class CboeIndexSnapshotsFetcher(
             "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)
+            if col in df.columns:
+                df[col] = round(df[col] / 100, 6)
+        df = (
+            df.replace(0, None)
             .replace("", None)
             .dropna(how="all", axis=1)
             .fillna("N/A")
@@ -135,9 +137,9 @@ class CboeIndexSnapshotsFetcher(
             "bid_size",
         ]
         for col in drop_cols:
-            if col in data.columns:
-                data = data.drop(columns=col)
+            if col in df.columns:
+                df = df.drop(columns=col)
         return [
             CboeIndexSnapshotsData.model_validate(d)
-            for d in data.to_dict(orient="records")
+            for d in df.to_dict(orient="records")
         ]

openbb_platform/providers/fred/openbb_fred/models/search.py

@@ -41,8 +41,8 @@ class FredSearchQueryParams(SearchQueryParams):
         default=0,
         description="Offset the results in conjunction with limit.",
     )
-    filter_variable: Literal[None, "frequency", "units", "seasonal_adjustment"] = Field(
-        default=None, description="Filter by an attribute."
+    filter_variable: Optional[Literal["frequency", "units", "seasonal_adjustment"]] = (
+        Field(default=None, description="Filter by an attribute.")
     )
     filter_value: Optional[str] = Field(
         default=None,

openbb_platform/providers/fred/openbb_fred/models/series.py

@@ -30,22 +30,23 @@ class FredSeriesQueryParams(SeriesQueryParams):
     }
     __json_schema_extra__ = {"symbol": ["multiple_items_allowed"]}
 
-    frequency: Literal[
-        None,
-        "a",
-        "q",
-        "m",
-        "w",
-        "d",
-        "wef",
-        "weth",
-        "wew",
-        "wetu",
-        "wem",
-        "wesu",
-        "wesa",
-        "bwew",
-        "bwem",
+    frequency: Optional[
+        Literal[
+            "a",
+            "q",
+            "m",
+            "w",
+            "d",
+            "wef",
+            "weth",
+            "wew",
+            "wetu",
+            "wem",
+            "wesu",
+            "wesa",
+            "bwew",
+            "bwem",
+        ]
     ] = Field(
         default=None,
         description="""
@@ -67,7 +68,7 @@ class FredSeriesQueryParams(SeriesQueryParams):
             bwem = Biweekly, Ending Monday
         """,
     )
-    aggregation_method: Literal[None, "avg", "sum", "eop"] = Field(
+    aggregation_method: Optional[Literal["avg", "sum", "eop"]] = Field(
         default="eop",
         description="""
         A key that indicates the aggregation method used for frequency aggregation.
@@ -77,10 +78,11 @@ class FredSeriesQueryParams(SeriesQueryParams):
             eop = End of Period
         """,
     )
-    transform: Literal[None, "chg", "ch1", "pch", "pc1", "pca", "cch", "cca", "log"] = (
-        Field(
-            default=None,
-            description="""
+    transform: Optional[
+        Literal["chg", "ch1", "pch", "pc1", "pca", "cch", "cca", "log"]
+    ] = Field(
+        default=None,
+        description="""
         Transformation type
             None = No transformation
             chg = Change
@@ -92,7 +94,6 @@ class FredSeriesQueryParams(SeriesQueryParams):
             cca = Continuously Compounded Annual Rate of Change
             log = Natural Log
         """,
-        )
     )
     limit: int = Field(description=QUERY_DESCRIPTIONS.get("limit", ""), default=100000)
 

openbb_platform/providers/government_us/openbb_government_us/models/treasury_prices.py

@@ -22,7 +22,7 @@ class GovernmentUSTreasuryPricesQueryParams(TreasuryPricesQueryParams):
     """US Government Treasury Prices Query."""
 
     cusip: Optional[str] = Field(description="Filter by CUSIP.", default=None)
-    security_type: Literal[None, "bill", "note", "bond", "tips", "frn"] = Field(
+    security_type: Optional[Literal["bill", "note", "bond", "tips", "frn"]] = Field(
         description="Filter by security type.",
         default=None,
     )

openbb_platform/providers/polygon/openbb_polygon/models/cash_flow.py

@@ -64,10 +64,10 @@ class PolygonCashFlowStatementQueryParams(CashFlowStatementQueryParams):
         default=False,
         description="Whether to include the sources of the financial statement.",
     )
-    order: Literal[None, "asc", "desc"] = Field(
+    order: Optional[Literal["asc", "desc"]] = Field(
         default=None, description="Order of the financial statement."
     )
-    sort: Literal[None, "filing_date", "period_of_report_date"] = Field(
+    sort: Optional[Literal["filing_date", "period_of_report_date"]] = Field(
         default=None, description="Sort of the financial statement."
     )
 
@@ -160,9 +160,9 @@ class PolygonCashFlowStatementFetcher(
 
     @staticmethod
     def transform_data(
-        query: PolygonCashFlowStatementQueryParams,
+        query: PolygonCashFlowStatementQueryParams,  # pylint: disable=unused-argument
         data: dict,
-        **kwargs: Any,
+        **kwargs: Any,  # pylint: disable=unused-argument
     ) -> List[PolygonCashFlowStatementData]:
         """Return the transformed data."""
         transformed_data = []

openbb_platform/providers/tmx/openbb_tmx/models/index_snapshots.py

@@ -24,7 +24,7 @@ from pydantic import Field, field_validator
 class TmxIndexSnapshotsQueryParams(IndexSnapshotsQueryParams):
     """TMX Index Snapshots Query Params."""
 
-    region: Literal[None, "ca", "us"] = Field(default="ca")  # type: ignore
+    region: Optional[Literal["ca", "us"]] = Field(default="ca")  # type: ignore
     use_cache: bool = Field(
         default=True,
         description="Whether to use a cached request."