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Update app.py
#4
by
singhn9
- opened
app.py
CHANGED
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# app.py
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# Mutual Fund Churn Explorer
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#
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#
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import gradio as gr
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import pandas as pd
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@@ -182,8 +187,8 @@ def build_graph(AMCS, COMPANIES, BUY_MAP, SELL_MAP, COMPLETE_EXIT, FRESH_BUY, in
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# Plotly visualizer (coerce width/height -> int with minimums)
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# ---------------------------
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def graph_to_plotly(G,
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node_color_amc="#0f5132", # deep green
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node_color_company="#ffc107", # amber for companies
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node_shape_amc="circle",
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node_shape_company="circle",
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edge_color_buy="#28a745",
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@@ -193,7 +198,7 @@ def graph_to_plotly(G,
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show_labels=True,
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width=1400,
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height=900):
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#
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try:
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width = int(float(width))
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except Exception:
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@@ -207,7 +212,6 @@ def graph_to_plotly(G,
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if height < 360:
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height = 360
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# layout: spring layout for clarity
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pos = nx.spring_layout(G, seed=42, k=1.4)
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node_x = []
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@@ -236,14 +240,12 @@ def graph_to_plotly(G,
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hoverinfo='text'
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)
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# edges rendered individually so they can be styled
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edge_traces = []
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for u, v, attrs in G.edges(data=True):
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x0, y0 = pos[u]
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x1, y1 = pos[v]
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actions = attrs.get("actions", [])
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weight = float(attrs.get("weight", 1.0))
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# priority styling
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if "complete_exit" in actions:
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color = edge_color_sell
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dash = "solid"
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@@ -359,39 +361,46 @@ def build_initial_graph_and_data():
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(AMCS, COMPANIES, BUY_MAP, SELL_MAP, COMPLETE_EXIT, FRESH_BUY, G_initial, initial_fig) = build_initial_graph_and_data()
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# ---------------------------
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# GRADIO UI: deep-green theme
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# ---------------------------
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# Create a deep green theme using gradio theme API (primary hue green, darker accents)
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deep_green_theme = gr.themes.Soft(primary_hue="green", secondary_hue="teal", spacing_size="md")
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with gr.Blocks(theme=deep_green_theme) as demo:
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gr.Markdown("# Mutual Fund Churn Explorer
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with gr.Row():
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csv_uploader = gr.File(label="Upload CSV (optional). Columns: AMC,Company,Action", file_types=['.csv'])
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gr.Markdown("### Node Appearance")
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node_color_company = gr.ColorPicker(value="#ffc107", label="Company node color")
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node_color_amc = gr.ColorPicker(value="#0f5132", label="AMC node color")
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node_shape_company = gr.Dropdown(choices=["circle","square","diamond"], value="circle", label="Company node shape")
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node_shape_amc = gr.Dropdown(choices=["circle","square","diamond"], value="circle", label="AMC node shape")
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gr.Markdown("### Edge Appearance")
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edge_color_buy = gr.ColorPicker(value="#28a745", label="BUY edge color")
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edge_color_sell = gr.ColorPicker(value="#dc3545", label="SELL edge color")
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edge_color_transfer = gr.ColorPicker(value="#6c757d", label="Transfer edge color")
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edge_thickness = gr.Slider(minimum=0.5, maximum=8.0, value=1.4, step=0.1, label="Edge thickness base")
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include_transfers_chk = gr.Checkbox(value=True, label="Infer AMC→AMC transfers (show loops)")
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update_btn = gr.Button("Update network")
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gr.Markdown("### Inspect")
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# do not set default value to avoid mismatch warnings after dropdown choices update
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company_selector = gr.Dropdown(choices=COMPANIES, label="Select Company (show buyers/sellers)")
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amc_selector = gr.Dropdown(choices=AMCS, label="Select AMC (inferred transfers)")
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# Graph column
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with gr.Column():
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network_plot = gr.Plot(value=initial_fig, label="Network graph (drag to zoom)")
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# outputs for inspection
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company_plot = gr.Plot(label="Company trade summary")
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company_table = gr.Dataframe(headers=["Role","AMC"], interactive=False, label="Trades (company)")
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@@ -408,7 +417,6 @@ with gr.Blocks(theme=deep_green_theme) as demo:
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if isinstance(raw, bytes):
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raw = raw.decode('utf-8', errors='ignore')
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df = pd.read_csv(io.StringIO(raw))
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cols = [c.strip().lower() for c in df.columns]
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col_map = {}
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for c in df.columns:
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if c.strip().lower() in ("amc","fund","manager"):
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@@ -449,6 +457,7 @@ with gr.Blocks(theme=deep_green_theme) as demo:
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loops_md += f"- Loop {i}: " + " → ".join(loop) + "\n"
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else:
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loops_md = "No small transfer loops detected (based on current inferred transfer edges)."
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return fig, loops_md, companies, amcs
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update_btn.click(on_update,
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# app.py
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# Mutual Fund Churn Explorer — Modal settings version (full file)
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# - Uses a Modal for settings so the controls don't reserve horizontal space
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# - Deep-green theme preserved
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# - Robust: safe CSV parsing, defensive dropdown handling, inferred AMC->AMC transfers,
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# loop detection, and export-ready Plotly figure sizing.
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#
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# Save this as app.py and run with: python app.py
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# requirements.txt: gradio, networkx, plotly, pandas, numpy
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import gradio as gr
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import pandas as pd
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# Plotly visualizer (coerce width/height -> int with minimums)
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# ---------------------------
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def graph_to_plotly(G,
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node_color_amc="#0f5132", # deep green default for AMCs
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node_color_company="#ffc107", # amber for companies
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node_shape_amc="circle",
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node_shape_company="circle",
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edge_color_buy="#28a745",
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show_labels=True,
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width=1400,
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height=900):
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# coerce width/height to Python int and enforce sensible minimums
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try:
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width = int(float(width))
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except Exception:
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if height < 360:
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height = 360
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pos = nx.spring_layout(G, seed=42, k=1.4)
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node_x = []
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hoverinfo='text'
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)
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edge_traces = []
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for u, v, attrs in G.edges(data=True):
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x0, y0 = pos[u]
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x1, y1 = pos[v]
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actions = attrs.get("actions", [])
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weight = float(attrs.get("weight", 1.0))
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if "complete_exit" in actions:
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color = edge_color_sell
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dash = "solid"
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(AMCS, COMPANIES, BUY_MAP, SELL_MAP, COMPLETE_EXIT, FRESH_BUY, G_initial, initial_fig) = build_initial_graph_and_data()
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# ---------------------------
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# GRADIO UI: Modal settings + deep-green theme
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# ---------------------------
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deep_green_theme = gr.themes.Soft(primary_hue="green", secondary_hue="teal", spacing_size="md")
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with gr.Blocks(theme=deep_green_theme) as demo:
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gr.Markdown("# Mutual Fund Churn Explorer")
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# Top row: tiny settings button on left, graph uses rest of width
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with gr.Row():
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with gr.Column(scale=1, min_width=80):
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settings_btn = gr.Button(value="⚙️ Settings", elem_id="settings_btn")
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gr.Markdown("<small style='color:var(--color-text-muted)'>Open settings</small>")
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with gr.Column(scale=11):
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network_plot = gr.Plot(value=initial_fig, label="Network graph (drag to zoom)")
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# Modal (floating) -- does not reserve space when closed
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settings_modal = gr.Modal(title="Settings", open=False)
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with settings_modal:
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gr.Markdown("### Data Input")
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csv_uploader = gr.File(label="Upload CSV (optional). Columns: AMC,Company,Action", file_types=['.csv'])
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gr.Markdown("### Node Appearance")
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node_color_company = gr.ColorPicker(value="#ffc107", label="Company node color")
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node_color_amc = gr.ColorPicker(value="#0f5132", label="AMC node color")
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node_shape_company = gr.Dropdown(choices=["circle","square","diamond"], value="circle", label="Company node shape")
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node_shape_amc = gr.Dropdown(choices=["circle","square","diamond"], value="circle", label="AMC node shape")
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gr.Markdown("### Edge Appearance")
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edge_color_buy = gr.ColorPicker(value="#28a745", label="BUY edge color")
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edge_color_sell = gr.ColorPicker(value="#dc3545", label="SELL edge color")
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edge_color_transfer = gr.ColorPicker(value="#6c757d", label="Transfer edge color")
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edge_thickness = gr.Slider(minimum=0.5, maximum=8.0, value=1.4, step=0.1, label="Edge thickness base")
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include_transfers_chk = gr.Checkbox(value=True, label="Infer AMC→AMC transfers (show loops)")
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update_btn = gr.Button("Update network")
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gr.Markdown("### Inspect")
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company_selector = gr.Dropdown(choices=COMPANIES, label="Select Company (show buyers/sellers)")
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amc_selector = gr.Dropdown(choices=AMCS, label="Select AMC (inferred transfers)")
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# clicking settings button opens modal
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def open_modal():
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return gr.update(open=True)
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settings_btn.click(fn=open_modal, inputs=None, outputs=[settings_modal])
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# outputs for inspection
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company_plot = gr.Plot(label="Company trade summary")
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company_table = gr.Dataframe(headers=["Role","AMC"], interactive=False, label="Trades (company)")
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if isinstance(raw, bytes):
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raw = raw.decode('utf-8', errors='ignore')
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df = pd.read_csv(io.StringIO(raw))
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col_map = {}
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for c in df.columns:
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if c.strip().lower() in ("amc","fund","manager"):
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loops_md += f"- Loop {i}: " + " → ".join(loop) + "\n"
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else:
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loops_md = "No small transfer loops detected (based on current inferred transfer edges)."
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# also return new choices for selectors to keep them in sync
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return fig, loops_md, companies, amcs
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update_btn.click(on_update,
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