updating scripts and fixing tools dataset formatting

active_traders.parquet

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closed_market_metrics.parquet

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daily_mech_requests.parquet

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daily_mech_requests_by_pearl_agents.parquet

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error_by_markets.parquet

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errors_by_mech.parquet

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+size 6113

latest_result_DAA_Pearl.parquet

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latest_result_DAA_QS.parquet

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pearl_agents.parquet

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scripts/market_metrics.py

@@ -76,12 +76,11 @@ def prepare_traders_data() -> Tuple[pd.DataFrame, pd.DataFrame]:
     # filter the mech requests done these traders on closed markets
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
-        tools_df = prepare_tools(tools_df)
+        tools_df = prepare_tools(tools_df, total_included=False)
     except Exception as e:
         print(f"Error reading tools parquet file {e}")
         return None
-    # remove the market_creator all category
-    tools_df = tools_df[tools_df["market_creator"] != "all"]
+
     traders_activity = tools_df[
         tools_df["trader_address"].isin(unique_addresses)
     ].copy()

scripts/predict_kpis.py

@@ -274,12 +274,11 @@ def get_mech_requests_on_closed_markets_by_pearl_agents(
     # filter the mech requests done by agents on closed markets
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
-        tools_df = prepare_tools(tools_df)
+        tools_df = prepare_tools(tools_df, total_included=False)
     except Exception as e:
         print(f"Error reading tools parquet file {e}")
         return None
-    # remove the market_creator= "all" entries
-    tools_df = tools_df[tools_df["market_creator"] != "all"]
+
     agents_activity = tools_df[tools_df["trader_address"].isin(unique_addresses)].copy()
     agents_activity = agents_activity[agents_activity["title"].isin(closed_markets)]
     if len(agents_activity) > 0:

scripts/pull_data.py

@@ -141,7 +141,7 @@ def only_new_weekly_analysis():
     except Exception as e:
         print("Error cleaning the oldest information from parquet files")
         print(f"reason = {e}")
-    # compute_tools_accuracy()
+    compute_tools_accuracy()
     compute_tools_based_datasets()
     # move to tmp folder the new generated files
     move_files()

scripts/tools_metrics.py

@@ -50,9 +50,9 @@ def get_tool_winning_rate_by_market(tools_df: pd.DataFrame) -> pd.DataFrame:
     return wins
 
 
-def prepare_tools(tools: pd.DataFrame) -> pd.DataFrame:
+def prepare_tools(tools: pd.DataFrame, total_included: bool = True) -> pd.DataFrame:
     # remove non relevant tools
-    tools_df = tools[tools["tool"].isin(INC_TOOLS)]
+    tools = tools[tools["tool"].isin(INC_TOOLS)]
     tools["request_time"] = pd.to_datetime(tools["request_time"], utc=True)
     tools = tools.sort_values(by="request_time", ascending=True)
     tools["request_date"] = tools["request_time"].dt.date
@@ -62,11 +62,12 @@ def prepare_tools(tools: pd.DataFrame) -> pd.DataFrame:
         .dt.start_time.dt.strftime("%b-%d-%Y")
     )
     # preparing the tools graph
-    # adding the total
-    tools_all = tools.copy(deep=True)
-    tools_all["market_creator"] = "all"
-    # merging both dataframes
-    tools = pd.concat([tools, tools_all], ignore_index=True)
+    if total_included:
+        # adding the total
+        tools_all = tools.copy(deep=True)
+        tools_all["market_creator"] = "all"
+        # merging both dataframes
+        tools = pd.concat([tools, tools_all], ignore_index=True)
     tools = tools.sort_values(by="request_time", ascending=True)
     return tools
 
@@ -110,14 +111,13 @@ def compute_tools_based_datasets():
     print("Computing tools based datasets")
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
-        tools_df = prepare_tools(tools_df)
     except Exception as e:
         print(f"Error reading tools parquet file {e}")
         return None
 
     # mech tool errors by markets
     print("Computing mech tool errors by markets")
-    tool_error_by_markets = get_error_data_by_market(tools_df=tools_df)
+    tool_error_by_markets = get_error_data_by_market(tools_df=prepare_tools(tools_df))
     tool_error_by_markets.to_parquet(ROOT_DIR / "error_by_markets.parquet", index=False)
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
@@ -131,7 +131,7 @@ def compute_tools_based_datasets():
     # all errors by mech address
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
-        tools_df = prepare_tools(tools_df)
+        tools_df = prepare_tools(tools_df, total_included=False)
     except Exception as e:
         print(f"Error reading tools parquet file {e}")
         return None
@@ -140,7 +140,7 @@ def compute_tools_based_datasets():
 
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
-        tools_df = prepare_tools(tools_df)
+        tools_df = prepare_tools(tools_df, total_included=False)
     except Exception as e:
         print(f"Error reading tools parquet file {e}")
         return None

service_map.pkl

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traders_weekly_metrics.parquet

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two_weeks_avg_roi_pearl_agents.parquet

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weekly_avg_roi_pearl_agents.parquet

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winning_df.parquet

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