adding new dataset for errors by mech

errors_by_mech.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0259ed7b72c96f1382056604a8bb934ad9ad5baa286a43a2beda8d94a11c3d54
+size 5474

scripts/tools_metrics.py

@@ -75,6 +75,35 @@ def prepare_tools(tools: pd.DataFrame) -> pd.DataFrame:
     return tools
 
 
+def get_errors_by_mech_address(
+    tools_df: pd.DataFrame, inc_tools: List[str]
+) -> pd.DataFrame:
+    """Gets the tool errors distribution by mech address in a weekly fashion"""
+    tools_inc = tools_df[tools_df["tool"].isin(inc_tools)]
+    weekly_errors = (
+        tools_inc.groupby(
+            ["request_month_year_week", "mech_address", "error"], sort=False
+        )
+        .size()
+        .reset_index(name="requests")
+    )
+    weekly_errors["error_cat"] = weekly_errors["error"].apply(
+        lambda x: "non_error" if x == 0 else "error"
+    )
+    total_requests_errors = (
+        tools_inc.groupby(["request_month_year_week", "mech_address"], sort=False)
+        .size()
+        .reset_index(name="total_requests")
+    )
+    all_errors = weekly_errors.merge(
+        total_requests_errors, on=["request_month_year_week", "mech_address"]
+    )
+    all_errors["errors_percentage"] = (
+        all_errors["requests"] / all_errors["total_requests"]
+    ) * 100
+    return all_errors
+
+
 def compute_tools_based_datasets():
     try:
         tools_df = pd.read_parquet(TMP_DIR / "tools.parquet")
@@ -104,6 +133,16 @@ def compute_tools_based_datasets():
     winning_df = get_tool_winning_rate_by_market(tools_df, inc_tools=INC_TOOLS)
     winning_df.to_parquet(ROOT_DIR / "winning_df.parquet", index=False)
 
+    # errors by mech address
+    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
+    errors_by_mech = get_errors_by_mech_address(tools_df=tools_df, inc_tools=INC_TOOLS)
+    errors_by_mech.to_parquet(ROOT_DIR / "errors_by_mech.parquet", index=False)
+
 
 if __name__ == "__main__":
     compute_tools_based_datasets()