new dataset for pearl agents

scripts/tools_metrics.py

@@ -148,7 +148,7 @@ def compute_tools_based_datasets():
     generate_daily_mech_requests_per_tool(tools_df=tools_df)
 
 
-def generate_daily_mech_requests_per_tool(tools_df: pd.DataFrame) -> pd.DataFrame:
+def generate_daily_mech_requests_per_tool(tools_df: pd.DataFrame) -> None:
     """Generates the daily mech requests per tool."""
 
     # daily mech requests in
@@ -162,5 +162,24 @@ def generate_daily_mech_requests_per_tool(tools_df: pd.DataFrame) -> pd.DataFram
     )
 
 
+def generate_daily_mech_request_for_pearl_agents(tools_df: pd.DataFrame) -> None:
+    # read the prediction agents file
+    pearl_agents = pd.read_parquet(ROOT_DIR / "pearl_agents.parquet")
+    unique_addresses = pearl_agents["safe_address"].unique()
+
+    # filter tools for only traders from the list above
+    selected_tools_df = tools_df[
+        tools_df["trader_address"].isin(unique_addresses)
+    ].copy()
+    daily_mech_req_per_tool = (
+        selected_tools_df.groupby(["request_date", "tool"])["request_id"]
+        .count()
+        .reset_index(name="total_mech_requests")
+    )
+    daily_mech_req_per_tool.to_parquet(
+        ROOT_DIR / "daily_mech_requests_by_pearl_agents.parquet", index=False
+    )
+
+
 if __name__ == "__main__":
     compute_tools_based_datasets()