1 files changed, 0 insertions, 77 deletions
diff --git a/openbb_platform/providers/fmp/openbb_fmp/models/etf_holdings_performance.py b/openbb_platform/providers/fmp/openbb_fmp/models/etf_holdings_performance.py
deleted file mode 100644
index 0a6f18b8339..00000000000
--- a/openbb_platform/providers/fmp/openbb_fmp/models/etf_holdings_performance.py
+++ /dev/null
@@ -1,77 +0,0 @@
-"""FMP ETF Holdings Performance Model."""
-
-# pylint: disable=unused-argument
-
-from typing import Any, Dict, List, Optional
-
-from openbb_core.provider.abstract.fetcher import Fetcher
-from openbb_fmp.models.etf_holdings import FMPEtfHoldingsFetcher
-from openbb_fmp.models.price_performance import (
-    FMPPricePerformanceData,
-    FMPPricePerformanceFetcher,
-    FMPPricePerformanceQueryParams,
-)
-from pandas import DataFrame
-
-
-class FMPEtfHoldingsPerformanceQueryParams(FMPPricePerformanceQueryParams):
-    """FMP ETF Holdings Performance Query."""
-
-
-class FMPEtfHoldingsPerformanceData(FMPPricePerformanceData):
-    """FMP ETF Holdings Performance Data."""
-
-
-class FMPEtfHoldingsPerformanceFetcher(
-    Fetcher[
-        FMPEtfHoldingsPerformanceQueryParams,
-        List[FMPEtfHoldingsPerformanceData],
-    ]
-):
-    """Transform the query, extract and transform the data from the FMP endpoints."""
-
-    @staticmethod
-    def transform_query(params: Dict[str, Any]) -> FMPEtfHoldingsPerformanceQueryParams:
-        """Transform the query."""
-        return FMPEtfHoldingsPerformanceQueryParams(**params)
-
-    @staticmethod
-    async def aextract_data(
-        query: FMPEtfHoldingsPerformanceQueryParams,
-        credentials: Optional[Dict[str, str]],
-        **kwargs: Any,
-    ) -> List[Dict]:
-        """Return the raw data from the FMP endpoint."""
-        # Get the holdings data
-        holdings = await FMPEtfHoldingsFetcher().aextract_data(
-            FMPEtfHoldingsFetcher.transform_query({"symbol": query.symbol}),
-            credentials,
-            **kwargs,
-        )
-        if holdings is None:
-            raise RuntimeError(f"No holdings data found for {query.symbol}.")
-        holdings_list = DataFrame(holdings).asset.unique().tolist()
-        # Split into chunks of 500
-        chunks = [holdings_list[i : i + 500] for i in range(0, len(holdings_list), 500)]
-        # Get price performance for the holdings
-        holdings_performance: List[Dict] = []
-        for holding_chunk in chunks:
-            holdings_str = (
-                ",".join(holding_chunk) if len(holding_chunk) > 1 else holding_chunk[0]
-            )
-            _performance = await FMPPricePerformanceFetcher().aextract_data(
-                FMPPricePerformanceFetcher.transform_query({"symbol": holdings_str}),
-                credentials,
-                **kwargs,
-            )
-            holdings_performance.extend(_performance)
-        return holdings_performance
-
-    @staticmethod
-    def transform_data(
-        query: FMPEtfHoldingsPerformanceQueryParams,
-        data: List[Dict],
-        **kwargs: Any,
-    ) -> List[FMPEtfHoldingsPerformanceData]:
-        """Return the transformed data."""
-        return [FMPEtfHoldingsPerformanceData.model_validate(d) for d in data]