fixing error in one graph

app.py

@@ -27,7 +27,7 @@ from tabs.metrics import (
 from tabs.tool_win import (
     integrated_plot_tool_winnings_overall_per_market_by_week,
     integrated_tool_winnings_by_tool_per_market,
-    get_daily_mech_requests,
+    get_daily_mech_requests2,
 )
 
 from tabs.tool_accuracy import (
@@ -473,14 +473,14 @@ with demo:
                 gr.Markdown("# Daily mech requests by each tool in Pearl markets")
 
             with gr.Row():
-                daily_pearl_requests_plot = get_daily_mech_requests(
+                daily_pearl_requests_plot = get_daily_mech_requests2(
                     daily_mech_req_df=daily_mech_requests, market_creator="pearl"
                 )
             with gr.Row():
                 gr.Markdown("# Daily mech requests by each tool in Quickstart markets")
 
             with gr.Row():
-                daily_qs_requests_plot = get_daily_mech_requests(
+                daily_qs_requests_plot = get_daily_mech_requests2(
                     daily_mech_req_df=daily_mech_requests, market_creator="quickstart"
                 )
             with gr.Row():

tabs/tool_accuracy.py

@@ -65,25 +65,6 @@ def compute_weighted_accuracy(tools_accuracy: pd.DataFrame):
     return tools_accuracy
 
 
-def plot_tools_accuracy_graph(tools_accuracy_info: pd.DataFrame):
-    tools_accuracy_info = tools_accuracy_info.sort_values(
-        by="tool_accuracy", ascending=False
-    )
-    plt.figure(figsize=(25, 10))
-    plot = sns.barplot(
-        tools_accuracy_info,
-        x="tool_accuracy",
-        y="tool",
-        hue="tool",
-        dodge=False,
-        palette=tools_palette,
-    )
-    plt.xlabel("Mech tool_accuracy (%)", fontsize=20)
-    plt.ylabel("tool", fontsize=20)
-    plt.tick_params(axis="y", labelsize=12)
-    return gr.Plot(value=plot.get_figure())
-
-
 def plot_tools_accuracy_rotated_graph(tools_accuracy_info: pd.DataFrame):
     tools_accuracy_info = tools_accuracy_info.sort_values(
         by="tool_accuracy", ascending=False

tabs/tool_win.py

@@ -175,6 +175,7 @@ def get_daily_mech_requests(
     daily_mech_req_per_tool = daily_mech_req_per_tool[
         ["request_date", "tool", "total_mech_requests"]
     ]
+    # Add this before pivoting to check total requests per tool
     pivoted = daily_mech_req_per_tool.pivot(
         index="request_date", columns="tool", values="total_mech_requests"
     )
@@ -211,3 +212,45 @@ def get_daily_mech_requests(
     )
     fig.update_layout(width=WIDTH, height=HEIGHT)
     return gr.Plot(value=fig)
+
+
+def get_daily_mech_requests2(
+    daily_mech_req_df: pd.DataFrame, market_creator: str
+) -> gr.Plot:
+    if market_creator == "pearl":
+        daily_mech_req_per_tool = daily_mech_req_df.loc[
+            daily_mech_req_df["market_creator"] == "pearl"
+        ]
+    else:  # quickstart
+        daily_mech_req_per_tool = daily_mech_req_df.loc[
+            daily_mech_req_df["market_creator"] == "quickstart"
+        ]
+
+    daily_mech_req_per_tool = daily_mech_req_per_tool[
+        ["request_date", "tool", "total_mech_requests"]
+    ]
+
+    result = []
+    for date, group in daily_mech_req_per_tool.groupby("request_date"):
+        # Sort this day's tools by request count (descending)
+        sorted_group = group.sort_values("total_mech_requests", ascending=False)
+        result.append(sorted_group)
+
+    # Combine all sorted groups
+    sorted_daily_mech_req = pd.concat(result)
+
+    # Create the plot
+    fig = px.bar(
+        sorted_daily_mech_req,
+        x="request_date",
+        y="total_mech_requests",
+        color="tool",
+        color_discrete_map=tools_palette,
+    )
+    fig.update_layout(
+        xaxis_title="Day of the request",
+        yaxis_title="Total daily mech requests",
+        # legend=dict(yanchor="top", y=0.5),
+    )
+    fig.update_layout(width=WIDTH, height=HEIGHT)
+    return gr.Plot(value=fig)