updated dashboard.py
Browse files- app/ui/dashboard.py +9 -38
app/ui/dashboard.py
CHANGED
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@@ -2,24 +2,17 @@ import gradio as gr
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import pandas as pd
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from app.controller.session_loader import load_google_ads_data
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def load_dashboard():
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dfs = load_google_ads_data()
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df = dfs["campaigns"].copy()
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if df.empty:
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return (
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0, 0, 0, 0,
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pd.DataFrame(columns=[
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"Campaign", "Spend", "Leads", "CPL", "CTR"
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])
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)
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df["leads"] = df["conversions"] if "conversions" in df.columns else 0
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df["cpl"] = df["cost"] / df["leads"].replace(0, 1)
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df["ctr"] = df
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formatted = pd.DataFrame({
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"Campaign": df["name"],
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@@ -37,33 +30,11 @@ def load_dashboard():
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formatted
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)
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# UI BUILDER
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# -------------------------
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def build_dashboard():
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gr.Markdown("## Campaign Dashboard")
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with gr.Row():
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total_spend = gr.Number(label="Total Spend")
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total_leads = gr.Number(label="Total Leads")
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average_cpl = gr.Number(label="Average CPL")
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active_campaigns = gr.Number(label="Active Campaigns")
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campaign_table = gr.Dataframe(
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label="Campaign Performance",
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interactive=True
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)
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refresh_btn = gr.Button("Refresh Dashboard")
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refresh_btn.click(
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fn=load_dashboard,
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outputs=[
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total_spend,
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total_leads,
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average_cpl,
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active_campaigns,
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campaign_table,
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],
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)
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# ✅ IMPORTANT FIX: return table so main.py can attach .select()
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return campaign_table
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import pandas as pd
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from app.controller.session_loader import load_google_ads_data
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def get_dashboard_data():
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dfs = load_google_ads_data()
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df = dfs["campaigns"].copy()
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if df.empty:
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return 0, 0, 0, 0, pd.DataFrame(columns=["Campaign", "Spend", "Leads", "CPL", "CTR"])
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df["leads"] = df.get("conversions", 0)
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df["cpl"] = df["cost"] / df["leads"].replace(0, 1)
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df["ctr"] = df.get("ctr", 0)
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formatted = pd.DataFrame({
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"Campaign": df["name"],
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formatted
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)
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def build_dashboard():
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# Retained exactly for backend structural lookups if referenced elsewhere
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campaign_table = gr.Dataframe(
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label="Campaign Performance",
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interactive=True
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)
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return campaign_table
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