fixing ui plot issue and adding new tool

app.py

@@ -50,7 +50,7 @@ from tabs.error import (
     plot_tool_error_data_by_market,
 )
 from tabs.about import about_olas_predict, about_this_dashboard
-
+import matplotlib.pyplot as plt
 from scripts.utils import INC_TOOLS
 
 
@@ -207,6 +207,14 @@ with demo:
                     trades_df=trades_df
                 )
 
+            def update_trade_details(trade_detail, trade_details_plot):
+                print(f"user selected option= {trade_detail}")
+                new_plot = plot_trade_metrics(
+                    metric_name=trade_detail,
+                    trades_df=trades_df,
+                )
+                return new_plot
+
             with gr.Row():
                 gr.Markdown("# ⚖️ Trading metrics")
             with gr.Row():
@@ -225,25 +233,11 @@ with demo:
                 with gr.Column(scale=1):
                     trade_details_text = get_trade_metrics_text()
 
-            def update_trade_details(trade_detail):
-                return plot_trade_metrics(
-                    metric_name=trade_detail,
-                    trades_df=trades_df,
-                )
-
             trade_details_selector.change(
                 update_trade_details,
-                inputs=trade_details_selector,
-                outputs=trade_details_plot,
+                inputs=[trade_details_selector, trade_details_plot],
+                outputs=[trade_details_plot],
             )
-
-            with gr.Row():
-                trade_details_selector
-            with gr.Row():
-                with gr.Column(scale=3):
-                    trade_details_plot
-                with gr.Column(scale=1):
-                    trade_details_text
         with gr.TabItem("🔒 Staking traders"):
             with gr.Row():
                 gr.Markdown("# Trades conducted at the Pearl markets")

scripts/utils.py

@@ -45,6 +45,7 @@ INC_TOOLS = [
     "prediction-url-cot-claude",
     "prediction-request-rag-claude",
     "prediction-request-reasoning-claude",
+    "superforcaster",
 ]
 
 SUBGRAPH_API_KEY = os.environ.get("SUBGRAPH_API_KEY", None)

tabs/metrics.py

@@ -1,6 +1,8 @@
 import pandas as pd
 import gradio as gr
 import plotly.express as px
+import gc
+import matplotlib.pyplot as plt
 
 trade_metric_choices = [
     "mech calls",
@@ -59,13 +61,11 @@ def get_metrics(
 
 
 def get_boxplot_metrics(column_name: str, trades_df: pd.DataFrame) -> pd.DataFrame:
-    # this is to filter out the data before 2023-09-01
-    trades_filtered = trades_df[trades_df["creation_timestamp"] > "2023-09-01"]
-    trades_filtered = trades_filtered[
+    trades_filtered = trades_df[
         ["creation_timestamp", "month_year_week", "market_creator", column_name]
     ]
     # adding the total
-    trades_filtered_all = trades_filtered.copy(deep=True)
+    trades_filtered_all = trades_df.copy(deep=True)
     trades_filtered_all["market_creator"] = "all"
 
     # merging both dataframes
@@ -75,6 +75,7 @@ def get_boxplot_metrics(column_name: str, trades_df: pd.DataFrame) -> pd.DataFra
     all_filtered_trades = all_filtered_trades.sort_values(
         by="creation_timestamp", ascending=True
     )
+    gc.collect()
     return all_filtered_trades