adding new creation_timestamp to active traders file

active_traders.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8616e6d43743dc5c7e9501d9f9fd2481999ed21a885ee5794d2c995b630d4a7
-size 124436
+oid sha256:c63a8c447043abf5a56459ea2782bcfce597bdf049aa496f13683cf183314997
+size 24382428

scripts/active_traders.py

@@ -28,7 +28,18 @@ def compute_active_traders_dataset():
     tools_df = prepare_tools(tools_df)
     # rename the request_month_year_week
     tools_df.rename(
-        columns={"request_month_year_week": "month_year_week"}, inplace=True
+        columns={
+            "request_month_year_week": "month_year_week",
+            "request_time": "creation_timestamp",
+        },
+        inplace=True,
+    )
+    tools_df["creation_timestamp"] = tools_df["creation_timestamp"].dt.tz_convert("UTC")
+    tools_df = tools_df.sort_values(by="creation_timestamp", ascending=True)
+    tools_df["month_year_week"] = (
+        tools_df["creation_timestamp"]
+        .dt.to_period("W")
+        .dt.start_time.dt.strftime("%b-%d-%Y")
     )
     tool_traders = tools_df.trader_address.unique()
     mapping = check_list_addresses(tool_traders)
@@ -37,7 +48,13 @@ def compute_active_traders_dataset():
         lambda x: mapping.get(x, "unknown")
     )
     tools_df = tools_df[
-        ["month_year_week", "market_creator", "trader_type", "trader_address"]
+        [
+            "month_year_week",
+            "market_creator",
+            "trader_type",
+            "trader_address",
+            "creation_timestamp",
+        ]
     ]
     tools_df.drop_duplicates(inplace=True)
     # read trades info
@@ -61,7 +78,13 @@ def compute_active_traders_dataset():
     )
     unknown_traders["trader_type"] = "unknown"
     unknown_traders = unknown_traders[
-        ["month_year_week", "trader_type", "market_creator", "trader_address"]
+        [
+            "month_year_week",
+            "trader_type",
+            "market_creator",
+            "trader_address",
+            "creation_timestamp",
+        ]
     ]
     unknown_traders.drop_duplicates(inplace=True)
 
@@ -79,7 +102,13 @@ def compute_active_traders_dataset():
         lambda x: "non_Olas" if x == "non_Olas" else "Olas"
     )
     all_trades = all_trades[
-        ["month_year_week", "market_creator", "trader_type", "trader_address"]
+        [
+            "month_year_week",
+            "market_creator",
+            "trader_type",
+            "trader_address",
+            "creation_timestamp",
+        ]
     ]
     all_trades.drop_duplicates(inplace=True)
     filtered_traders_data = pd.concat([all_trades, tools_df], axis=0)