1 files changed, 0 insertions, 81 deletions
diff --git a/openbb_platform/providers/fred/openbb_fred/models/cpi.py b/openbb_platform/providers/fred/openbb_fred/models/cpi.py
deleted file mode 100644
index a7c55bb9b78..00000000000
--- a/openbb_platform/providers/fred/openbb_fred/models/cpi.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""FRED Consumer Price Index Model."""
-
-from typing import Any, Dict, List, Optional
-
-from openbb_core.provider.abstract.fetcher import Fetcher
-from openbb_core.provider.standard_models.cpi import (
-    ConsumerPriceIndexData,
-    ConsumerPriceIndexQueryParams,
-)
-from openbb_fred.utils.fred_base import Fred
-from openbb_fred.utils.fred_helpers import all_cpi_options
-
-
-class FREDConsumerPriceIndexQueryParams(ConsumerPriceIndexQueryParams):
-    """FRED Consumer Price Index Query."""
-
-    __json_schema_extra__ = {"country": {"multiple_items_allowed": True}}
-
-
-class FREDConsumerPriceIndexData(ConsumerPriceIndexData):
-    """FRED Consumer Price Index Data."""
-
-
-class FREDConsumerPriceIndexFetcher(
-    Fetcher[FREDConsumerPriceIndexQueryParams, List[FREDConsumerPriceIndexData]]
-):
-    """Transform the query, extract and transform the data from the FRED endpoints."""
-
-    @staticmethod
-    def transform_query(params: Dict[str, Any]) -> FREDConsumerPriceIndexQueryParams:
-        """Transform query."""
-        return FREDConsumerPriceIndexQueryParams(**params)
-
-    @staticmethod
-    def extract_data(
-        query: FREDConsumerPriceIndexQueryParams,
-        credentials: Optional[Dict[str, str]],
-        **kwargs: Any,
-    ) -> Dict:
-        """Extract data."""
-        api_key = credentials.get("fred_api_key") if credentials else ""
-
-        all_options = all_cpi_options(query.harmonized)
-
-        step_1 = [x for x in all_options if x["country"] in query.country]
-        step_2 = [x for x in step_1 if x["units"] == query.units]
-        step_3 = [x for x in step_2 if x["frequency"] == query.frequency]
-
-        series_dict = {}
-        fred = Fred(api_key)
-        for item in step_3:
-            loc = f"{item['country']}"
-            temp = fred.get_series(
-                item["series_id"], query.start_date, query.end_date, **kwargs
-            )
-            temp = [{"date": item["date"], "value": item["value"]} for item in temp]
-            series_dict[loc] = [item for item in temp if item["value"] != "."]
-
-        return series_dict
-
-    @staticmethod
-    def transform_data(
-        query: FREDConsumerPriceIndexQueryParams, data: Dict, **kwargs: Any
-    ) -> List[FREDConsumerPriceIndexData]:
-        """Transform data."""
-        transformed_data = {}
-
-        # Iterate over the series_dict
-        for country, data_list in data.items():
-            for item in data_list:
-                # If the date is not in the dictionary, add it
-                if item["date"] not in transformed_data:
-                    transformed_data[item["date"]] = {"date": item["date"]}
-                # Update the dictionary with the country's value data
-                transformed_data[item["date"]].update({country: item["value"]})
-
-        # Convert the dictionary to a list of dictionaries
-        return [
-            FREDConsumerPriceIndexData.model_validate(item)
-            for item in list(transformed_data.values())
-        ]