feat: update source labels, fix news feed
Browse files- app/ai_panel.py +123 -49
- app/analysis_panel.py +1 -1
- app/dashboard.py +33 -20
- app/intel_panel.py +2 -2
- app/legend.py +5 -5
app/ai_panel.py
CHANGED
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@@ -120,6 +120,7 @@ When the user asks a question:
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- "y": column for y-axis (string or list)
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- "by": column to color-group by (optional)
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- "title": chart title
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- "show_table": bool β whether to show raw data table
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Rules:
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@@ -130,6 +131,7 @@ Rules:
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- "by" only when grouping adds value.
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- For tickers: default line chart with x="date", y="close", by="symbol" if multiple.
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- Use "search" for news, policy, sanctions, geopolitical updates.
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- Respond ONLY with the JSON object, nothing else.
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"""
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@@ -215,7 +217,7 @@ def _make_geo_map(df: pd.DataFrame, spec: dict) -> pn.viewable.Viewable:
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"tiles = gv.tile_sources.CartoDark()\n"
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"map_ = (tiles * points).opts(projection=crs.GOOGLE_MERCATOR)"
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)
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return _wrap_with_code(pn.pane.HoloViews(chart, sizing_mode="
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def _make_chart(df: pd.DataFrame, spec: dict) -> pn.viewable.Viewable:
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@@ -226,7 +228,15 @@ def _make_chart(df: pd.DataFrame, spec: dict) -> pn.viewable.Viewable:
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y = spec.get("y")
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by = spec.get("by")
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#
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if kind == "map" or ({"lat", "lon"}.issubset(df.columns) and kind in ("scatter", "points", "map")):
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return _make_geo_map(df, spec)
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@@ -246,21 +256,73 @@ def _make_chart(df: pd.DataFrame, spec: dict) -> pn.viewable.Viewable:
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plot_fn = getattr(df.hvplot, kind, df.hvplot.line)
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chart = plot_fn(**kwargs)
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code = _hvplot_code("df", kind, kwargs)
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return _wrap_with_code(pn.pane.HoloViews(chart, sizing_mode="
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def _wrap_with_code(chart_pane: pn.viewable.Viewable, code: str) -> pn.viewable.Viewable:
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"""Wrap a chart with a
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)
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-
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-
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sizing_mode="stretch_width",
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styles={"border": f"1px solid {_BORDER}", "border-radius": "4px"},
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)
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return pn.Column(chart_pane, accordion, sizing_mode="stretch_both")
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def _make_multi_chart(df: pd.DataFrame, specs: list[dict]) -> pn.viewable.Viewable:
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@@ -275,7 +337,7 @@ def _make_multi_chart(df: pd.DataFrame, specs: list[dict]) -> pn.viewable.Viewab
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return pn.pane.Markdown("*Could not render charts.*")
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if len(panels) == 1:
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return panels[0]
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-
return pn.GridBox(*panels, ncols=2, sizing_mode="
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def _make_table(df: pd.DataFrame) -> pn.widgets.Tabulator:
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@@ -297,19 +359,53 @@ def _make_table(df: pd.DataFrame) -> pn.widgets.Tabulator:
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_history: list[dict] = []
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async def _chat_callback(contents: str, user: str, instance: pn.chat.ChatInterface):
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con = _init_db()
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_history.append({"role": "user", "text": contents})
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try:
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result = _ask_llm(contents, _history)
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except json.JSONDecodeError:
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yield "I had trouble parsing the response. Could you rephrase your question?"
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return
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except Exception as e:
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yield f"**Error contacting AI:** {e}"
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return
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answer = result.get("answer", "")
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sql = result.get("sql")
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tickers = result.get("tickers") or ([result["ticker"]] if result.get("ticker") else None)
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@@ -408,7 +504,7 @@ _SUGGESTIONS = [
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"Show the top 10 most recent critical events",
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"Plot Apple vs Microsoft",
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"What's the latest news on oil prices?",
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"
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]
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@@ -419,7 +515,7 @@ def _build_sidebar() -> pn.Column:
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def _label(text: str) -> pn.pane.HTML:
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return pn.pane.HTML(
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f'<div style="font-size:
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f'letter-spacing:2px;text-transform:uppercase;'
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f'font-family:\'Courier New\',monospace;margin-bottom:4px;">{text}</div>',
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sizing_mode="stretch_width",
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@@ -427,7 +523,7 @@ def _build_sidebar() -> pn.Column:
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def _hint(text: str) -> pn.pane.HTML:
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return pn.pane.HTML(
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f'<div style="font-size:
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sizing_mode="stretch_width",
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)
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@@ -473,28 +569,6 @@ def _build_sidebar() -> pn.Column:
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model_select.param.watch(_on_model, "value")
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capabilities = pn.pane.HTML(
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f"""
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<div style="font-size:11px;color:#94a3b8;line-height:1.8;">
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<b style="color:{_ACCENT};">Data sources:</b><br>
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β’ Risk events (ACLED, FIRMSβ¦)<br>
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β’ Commodities history<br>
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β’ Currency FX rates<br>
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β’ Market prices<br>
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β’ Live stocks via Yahoo Finance<br>
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β’ Web search via Google<br><br>
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<b style="color:{_ACCENT};">Chart types:</b><br>
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β’ Line, bar, scatter, area<br>
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β’ GeoViews maps (lat/lon data)<br>
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β’ Multi-chart grid layouts<br><br>
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<b style="color:{_ACCENT};">HoloViz code:</b><br>
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Every chart shows the code<br>
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that generated it.
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</div>
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""",
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sizing_mode="stretch_width",
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)
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-
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get_key_link = pn.pane.HTML(
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f'<a href="https://aistudio.google.com/apikey" target="_blank" '
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f'style="font-size:10px;color:{_ACCENT};text-decoration:none;">'
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@@ -511,8 +585,6 @@ def _build_sidebar() -> pn.Column:
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_label("Model"),
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model_select,
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_divider(),
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_label("Capabilities"),
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capabilities,
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pn.Spacer(),
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width=220,
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sizing_mode="stretch_height",
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@@ -531,24 +603,26 @@ def build_ai_tab() -> pn.viewable.Viewable:
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chat = pn.chat.ChatInterface(
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callback=_chat_callback,
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callback_user="
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show_rerun=False,
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show_undo=True,
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show_clear=True,
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placeholder_text="Ask about risk events, commodities,
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sizing_mode="stretch_both",
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min_height=600,
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callback_exception="verbose",
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)
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chat.send(
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-
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"I can query risk events, commodities, currencies, live stocks, and search the web. "
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"Charts include the HoloViz code that generated them.\n\n"
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+ "\n".join(f"- *{s}*" for s in _SUGGESTIONS),
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),
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user="HoloIntel AI",
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respond=False,
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)
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- "y": column for y-axis (string or list)
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- "by": column to color-group by (optional)
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- "title": chart title
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+
- "filter": dict | null β row filter applied before charting, e.g. {{"commodity": "Gold"}}
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- "show_table": bool β whether to show raw data table
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Rules:
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- "by" only when grouping adds value.
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- For tickers: default line chart with x="date", y="close", by="symbol" if multiple.
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- Use "search" for news, policy, sanctions, geopolitical updates.
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- IMPORTANT: When comparing commodities or assets with very different price scales (e.g. Gold ~$2000 vs Oil ~$70), return SEPARATE chart specs for each β one chart per commodity β so each renders with its own y-axis scale. Never combine them into a single chart with "by", as the smaller-scale asset becomes invisible. Use the "filter" field on each chart spec to slice the data, e.g. {{"commodity": "Gold"}} and {{"commodity": "Global Oil Price"}}.
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- Respond ONLY with the JSON object, nothing else.
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"""
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"tiles = gv.tile_sources.CartoDark()\n"
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"map_ = (tiles * points).opts(projection=crs.GOOGLE_MERCATOR)"
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)
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return _wrap_with_code(pn.pane.HoloViews(chart, sizing_mode="stretch_width", height=420, linked_axes=False), code)
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def _make_chart(df: pd.DataFrame, spec: dict) -> pn.viewable.Viewable:
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y = spec.get("y")
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by = spec.get("by")
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# Apply row filter before plotting (e.g. {"commodity": "Gold"})
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row_filter = spec.get("filter")
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if row_filter and isinstance(row_filter, dict):
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df = df.copy()
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for col, val in row_filter.items():
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if col in df.columns:
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df = df[df[col] == val]
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# Route geographic data to GeoViews (pass already-filtered df)
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if kind == "map" or ({"lat", "lon"}.issubset(df.columns) and kind in ("scatter", "points", "map")):
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return _make_geo_map(df, spec)
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plot_fn = getattr(df.hvplot, kind, df.hvplot.line)
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chart = plot_fn(**kwargs)
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code = _hvplot_code("df", kind, kwargs)
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return _wrap_with_code(pn.pane.HoloViews(chart, sizing_mode="stretch_width", height=400, linked_axes=False), code)
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_TOGGLE_CSS = """
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:host .bk-btn {
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background: transparent !important;
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border: 1px solid #1e3a5f !important;
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color: #475569 !important;
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font-size: 10px !important;
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font-family: 'Courier New', monospace !important;
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letter-spacing: 1px !important;
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border-radius: 3px !important;
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padding: 2px 10px !important;
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transition: color 0.15s, border-color 0.15s;
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}
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:host .bk-btn:hover {
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color: #7dd3fc !important;
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border-color: #7dd3fc88 !important;
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}
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:host .bk-btn.bk-active {
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color: #7dd3fc !important;
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border-color: #7dd3fc !important;
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background: #1e3a5f33 !important;
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}
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"""
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_CODE_PANE_CSS = """
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:host {
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background: #0d1b2a !important;
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border-radius: 6px !important;
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border: 1px solid #1e3a5f !important;
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padding: 2px 6px !important;
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}
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"""
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def _wrap_with_code(chart_pane: pn.viewable.Viewable, code: str) -> pn.viewable.Viewable:
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"""Wrap a chart with a small right-aligned toggle that reveals a code block."""
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toggle = pn.widgets.Toggle(
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name="</> code",
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value=False,
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button_type="light",
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width=72,
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height=24,
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stylesheets=[_TOGGLE_CSS],
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)
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code_md = f"```python\n{code}\n```"
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# pn.depends swaps the whole element in/out of the DOM β reliable show/hide
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@pn.depends(toggle.param.value)
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def _code_block(show):
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if not show:
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return pn.pane.HTML("", width=0, height=0, margin=0)
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return pn.pane.Markdown(
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code_md,
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sizing_mode="stretch_width",
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margin=(0, 0, 6, 0),
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stylesheets=[_CODE_PANE_CSS],
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)
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return pn.Column(
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chart_pane,
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pn.Row(pn.Spacer(), toggle, margin=(4, 0, 2, 0)),
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_code_block,
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sizing_mode="stretch_width",
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)
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def _make_multi_chart(df: pd.DataFrame, specs: list[dict]) -> pn.viewable.Viewable:
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return pn.pane.Markdown("*Could not render charts.*")
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if len(panels) == 1:
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return panels[0]
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return pn.GridBox(*panels, ncols=2, sizing_mode="stretch_width")
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def _make_table(df: pd.DataFrame) -> pn.widgets.Tabulator:
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_history: list[dict] = []
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_LOADING_HTML = """
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<div style="display:flex;align-items:center;gap:10px;padding:6px 2px;">
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<div style="display:flex;gap:4px;align-items:center;">
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<span style="display:inline-block;width:7px;height:7px;border-radius:50%;
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background:#7dd3fc;animation:ai-dot 1.2s ease-in-out infinite 0s;"></span>
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<span style="display:inline-block;width:7px;height:7px;border-radius:50%;
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background:#7dd3fc;animation:ai-dot 1.2s ease-in-out infinite 0.2s;"></span>
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<span style="display:inline-block;width:7px;height:7px;border-radius:50%;
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background:#7dd3fc;animation:ai-dot 1.2s ease-in-out infinite 0.4s;"></span>
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</div>
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<span style="color:#475569;font-size:12px;font-family:'Courier New',monospace;
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letter-spacing:1px;">Analyzingβ¦</span>
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</div>
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<style>
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@keyframes ai-dot {
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0%, 80%, 100% { opacity: 0.15; transform: scale(0.7); }
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40% { opacity: 1; transform: scale(1.15); }
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}
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</style>
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"""
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async def _chat_callback(contents: str, user: str, instance: pn.chat.ChatInterface):
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con = _init_db()
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_history.append({"role": "user", "text": contents})
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# Show animated loading dots immediately while the LLM call is in flight.
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# _ask_llm is synchronous, so we run it in a thread executor to avoid
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# blocking the event loop (which would prevent the UI from rendering the dots).
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loading = pn.pane.HTML(_LOADING_HTML, sizing_mode="stretch_width")
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yield loading
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await asyncio.sleep(0) # flush UI update to client before blocking call
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loop = asyncio.get_event_loop()
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try:
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result = await loop.run_in_executor(None, lambda: _ask_llm(contents, _history))
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| 398 |
except json.JSONDecodeError:
|
| 399 |
+
loading.object = ""
|
| 400 |
yield "I had trouble parsing the response. Could you rephrase your question?"
|
| 401 |
return
|
| 402 |
except Exception as e:
|
| 403 |
+
loading.object = ""
|
| 404 |
yield f"**Error contacting AI:** {e}"
|
| 405 |
return
|
| 406 |
|
| 407 |
+
loading.object = "" # clear spinner β content follows
|
| 408 |
+
|
| 409 |
answer = result.get("answer", "")
|
| 410 |
sql = result.get("sql")
|
| 411 |
tickers = result.get("tickers") or ([result["ticker"]] if result.get("ticker") else None)
|
|
|
|
| 504 |
"Show the top 10 most recent critical events",
|
| 505 |
"Plot Apple vs Microsoft",
|
| 506 |
"What's the latest news on oil prices?",
|
| 507 |
+
"Show earthquake events on a map",
|
| 508 |
]
|
| 509 |
|
| 510 |
|
|
|
|
| 515 |
|
| 516 |
def _label(text: str) -> pn.pane.HTML:
|
| 517 |
return pn.pane.HTML(
|
| 518 |
+
f'<div style="font-size:13px;font-weight:bold;color:{_ACCENT};'
|
| 519 |
f'letter-spacing:2px;text-transform:uppercase;'
|
| 520 |
f'font-family:\'Courier New\',monospace;margin-bottom:4px;">{text}</div>',
|
| 521 |
sizing_mode="stretch_width",
|
|
|
|
| 523 |
|
| 524 |
def _hint(text: str) -> pn.pane.HTML:
|
| 525 |
return pn.pane.HTML(
|
| 526 |
+
f'<div style="font-size:12px;color:{_MUTED};line-height:1.5;margin-top:4px;">{text}</div>',
|
| 527 |
sizing_mode="stretch_width",
|
| 528 |
)
|
| 529 |
|
|
|
|
| 569 |
|
| 570 |
model_select.param.watch(_on_model, "value")
|
| 571 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 572 |
get_key_link = pn.pane.HTML(
|
| 573 |
f'<a href="https://aistudio.google.com/apikey" target="_blank" '
|
| 574 |
f'style="font-size:10px;color:{_ACCENT};text-decoration:none;">'
|
|
|
|
| 585 |
_label("Model"),
|
| 586 |
model_select,
|
| 587 |
_divider(),
|
|
|
|
|
|
|
| 588 |
pn.Spacer(),
|
| 589 |
width=220,
|
| 590 |
sizing_mode="stretch_height",
|
|
|
|
| 603 |
|
| 604 |
chat = pn.chat.ChatInterface(
|
| 605 |
callback=_chat_callback,
|
| 606 |
+
callback_user="Crisis AI",
|
| 607 |
show_rerun=False,
|
| 608 |
show_undo=True,
|
| 609 |
show_clear=True,
|
| 610 |
+
placeholder_text="Ask anything about risk events, commodities, news...",
|
| 611 |
sizing_mode="stretch_both",
|
| 612 |
min_height=600,
|
| 613 |
callback_exception="verbose",
|
| 614 |
+
stylesheets=["""
|
| 615 |
+
:host { background: #0a0f1e; }
|
| 616 |
+
.chat-interface { background: #0a0f1e; }
|
| 617 |
+
.message { font-size: 14px; line-height: 1.6; }
|
| 618 |
+
.chat-entry { overflow: hidden; }
|
| 619 |
+
.chat-feed-entry { overflow: hidden; contain: layout; }
|
| 620 |
+
"""],
|
| 621 |
)
|
| 622 |
|
| 623 |
chat.send(
|
| 624 |
+
"Hello! I'm your Crisis Intelligence AI. Ask me about risk events, commodities, currencies, stocks, or world news.",
|
| 625 |
+
user="Crisis AI",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 626 |
respond=False,
|
| 627 |
)
|
| 628 |
|
app/analysis_panel.py
CHANGED
|
@@ -33,7 +33,7 @@ _ACCENT = "#7dd3fc"
|
|
| 33 |
_MUTED = "#475569"
|
| 34 |
|
| 35 |
_HDR_CSS = (
|
| 36 |
-
"font-size:
|
| 37 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 38 |
"font-family:'Courier New',monospace;padding:6px 0 2px;"
|
| 39 |
).format(a=_ACCENT)
|
|
|
|
| 33 |
_MUTED = "#475569"
|
| 34 |
|
| 35 |
_HDR_CSS = (
|
| 36 |
+
"font-size:13px;font-weight:bold;color:{a};"
|
| 37 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 38 |
"font-family:'Courier New',monospace;padding:6px 0 2px;"
|
| 39 |
).format(a=_ACCENT)
|
app/dashboard.py
CHANGED
|
@@ -70,23 +70,33 @@ _ACCENT = "#7dd3fc"
|
|
| 70 |
_PANEL_W = 320
|
| 71 |
|
| 72 |
_HDR_CSS = (
|
| 73 |
-
"font-size:
|
| 74 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 75 |
"margin-bottom:8px;font-family:'Courier New',monospace;"
|
| 76 |
).format(a=_ACCENT)
|
| 77 |
|
| 78 |
-
_HINT_CSS = "font-size:
|
| 79 |
|
| 80 |
_TAB_CSS = """
|
| 81 |
-
:host .bk-header {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 82 |
:host .bk-tab {
|
| 83 |
-
background: #0a0f1e; color: #
|
| 84 |
border: none; border-bottom: 2px solid transparent;
|
| 85 |
-
font-family: 'Courier New', monospace; font-size:
|
| 86 |
-
letter-spacing:
|
| 87 |
-
padding:
|
| 88 |
}
|
| 89 |
-
:host .bk-tab:hover { color: #
|
| 90 |
:host .bk-tab.bk-active { color: #7dd3fc; border-bottom: 2px solid #7dd3fc; }
|
| 91 |
"""
|
| 92 |
|
|
@@ -121,10 +131,13 @@ def build_dashboard() -> pn.Column:
|
|
| 121 |
header = pn.pane.HTML(
|
| 122 |
f"""
|
| 123 |
<div style="background:{_BG};padding:13px 20px;
|
| 124 |
-
border-bottom:
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
|
|
|
|
|
|
|
|
|
| 128 |
</span>
|
| 129 |
</div>
|
| 130 |
""",
|
|
@@ -140,10 +153,10 @@ def build_dashboard() -> pn.Column:
|
|
| 140 |
_SRC_ICON_STYLE = {
|
| 141 |
"GDELT": ("#ef4444", "22px"), # red β conflict
|
| 142 |
"FIRMS": ("#f97316", "18px"), # orange β fire
|
| 143 |
-
"
|
| 144 |
-
"
|
| 145 |
-
"Maritime": ("#
|
| 146 |
-
"Rocket": ("#f43f5e", "22px"), # rose β
|
| 147 |
"Seismic": ("#a78bfa", "18px"), # violet β earthquakes
|
| 148 |
"Cyber": ("#34d399", "18px"), # emerald β cyber
|
| 149 |
}
|
|
@@ -158,10 +171,10 @@ def build_dashboard() -> pn.Column:
|
|
| 158 |
pn.Row(
|
| 159 |
_src_cbs[src],
|
| 160 |
pn.pane.HTML(
|
| 161 |
-
f'<span style="font-size:{
|
|
|
|
| 162 |
f'color:{_SRC_ICON_STYLE[src][0]};line-height:1;">{glyph}</span>'
|
| 163 |
-
f'
|
| 164 |
-
f'<span style="font-size:10px;color:#475569;"> β {desc}</span>',
|
| 165 |
sizing_mode="stretch_width",
|
| 166 |
margin=0,
|
| 167 |
),
|
|
@@ -337,7 +350,7 @@ def build_dashboard() -> pn.Column:
|
|
| 337 |
|
| 338 |
tabs = pn.Tabs(
|
| 339 |
("πΊ Risk Map", map_body),
|
| 340 |
-
("
|
| 341 |
("π Global Prices", build_commodities_tab()),
|
| 342 |
("π± Currency FX", build_currency_tab()),
|
| 343 |
("π€ AI Explorer", build_ai_tab()),
|
|
|
|
| 70 |
_PANEL_W = 320
|
| 71 |
|
| 72 |
_HDR_CSS = (
|
| 73 |
+
"font-size:12px;font-weight:bold;color:{a};"
|
| 74 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 75 |
"margin-bottom:8px;font-family:'Courier New',monospace;"
|
| 76 |
).format(a=_ACCENT)
|
| 77 |
|
| 78 |
+
_HINT_CSS = "font-size:12px;color:#7a8fa6;margin-top:4px;line-height:1.4;"
|
| 79 |
|
| 80 |
_TAB_CSS = """
|
| 81 |
+
:host .bk-header {
|
| 82 |
+
background: #0a0f1e;
|
| 83 |
+
border-bottom: 1px solid #1e3a5f;
|
| 84 |
+
display: flex;
|
| 85 |
+
justify-content: center;
|
| 86 |
+
}
|
| 87 |
+
:host .bk-header .bk-btn-group {
|
| 88 |
+
display: flex;
|
| 89 |
+
justify-content: center;
|
| 90 |
+
width: 100%;
|
| 91 |
+
}
|
| 92 |
:host .bk-tab {
|
| 93 |
+
background: #0a0f1e; color: #94a3b8;
|
| 94 |
border: none; border-bottom: 2px solid transparent;
|
| 95 |
+
font-family: 'Courier New', monospace; font-size: 13px;
|
| 96 |
+
font-weight: bold; letter-spacing: 1px; text-transform: uppercase;
|
| 97 |
+
padding: 10px 20px;
|
| 98 |
}
|
| 99 |
+
:host .bk-tab:hover { color: #cbd5e1; }
|
| 100 |
:host .bk-tab.bk-active { color: #7dd3fc; border-bottom: 2px solid #7dd3fc; }
|
| 101 |
"""
|
| 102 |
|
|
|
|
| 131 |
header = pn.pane.HTML(
|
| 132 |
f"""
|
| 133 |
<div style="background:{_BG};padding:13px 20px;
|
| 134 |
+
border-bottom:3px solid {_ACCENT};
|
| 135 |
+
box-shadow:0 3px 10px {_ACCENT}66;
|
| 136 |
+
display:flex;align-items:center;justify-content:center;">
|
| 137 |
+
<link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@700&display=swap" rel="stylesheet">
|
| 138 |
+
<span style="color:#e2e8f0;font-size:22px;font-weight:700;
|
| 139 |
+
font-family:'Orbitron',sans-serif;letter-spacing:3px;">
|
| 140 |
+
Crisis Intelligence Platform
|
| 141 |
</span>
|
| 142 |
</div>
|
| 143 |
""",
|
|
|
|
| 153 |
_SRC_ICON_STYLE = {
|
| 154 |
"GDELT": ("#ef4444", "22px"), # red β conflict
|
| 155 |
"FIRMS": ("#f97316", "18px"), # orange β fire
|
| 156 |
+
"NOAA": ("#fbbf24", "18px"), # yellow β weather
|
| 157 |
+
"OpenSky": ("#38bdf8", "18px"), # blue β flight tracking
|
| 158 |
+
"Maritime": ("#10b981", "18px"), # green β ships
|
| 159 |
+
"Rocket": ("#f43f5e", "22px"), # rose β rocket alerts
|
| 160 |
"Seismic": ("#a78bfa", "18px"), # violet β earthquakes
|
| 161 |
"Cyber": ("#34d399", "18px"), # emerald β cyber
|
| 162 |
}
|
|
|
|
| 171 |
pn.Row(
|
| 172 |
_src_cbs[src],
|
| 173 |
pn.pane.HTML(
|
| 174 |
+
f'<span style="font-size:14px;color:#e2e8f0;font-weight:bold;">{short}</span>'
|
| 175 |
+
f' <span style="font-size:{_SRC_ICON_STYLE[src][1]};'
|
| 176 |
f'color:{_SRC_ICON_STYLE[src][0]};line-height:1;">{glyph}</span>'
|
| 177 |
+
f'<span style="font-size:11px;color:#94a3b8;"> β {desc}</span>',
|
|
|
|
| 178 |
sizing_mode="stretch_width",
|
| 179 |
margin=0,
|
| 180 |
),
|
|
|
|
| 350 |
|
| 351 |
tabs = pn.Tabs(
|
| 352 |
("πΊ Risk Map", map_body),
|
| 353 |
+
("π° News & Events", build_analysis_tab(state.filtered_events())),
|
| 354 |
("π Global Prices", build_commodities_tab()),
|
| 355 |
("π± Currency FX", build_currency_tab()),
|
| 356 |
("π€ AI Explorer", build_ai_tab()),
|
app/intel_panel.py
CHANGED
|
@@ -24,7 +24,7 @@ _ACCENT = "#7dd3fc"
|
|
| 24 |
_MUTED = "#475569"
|
| 25 |
|
| 26 |
_HDR_CSS = (
|
| 27 |
-
"font-size:
|
| 28 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 29 |
"font-family:'Courier New',monospace;padding:16px 16px 10px;"
|
| 30 |
).format(a=_ACCENT)
|
|
@@ -40,7 +40,7 @@ _COMMODITY_COLORS = [
|
|
| 40 |
"#94a3b8", "#c084fc", # Silver / Palladium
|
| 41 |
]
|
| 42 |
|
| 43 |
-
_PLOT_KW = dict(responsive=True, height=520, grid=True, fontscale=
|
| 44 |
|
| 45 |
|
| 46 |
def _no_data(msg: str) -> pn.pane.HTML:
|
|
|
|
| 24 |
_MUTED = "#475569"
|
| 25 |
|
| 26 |
_HDR_CSS = (
|
| 27 |
+
"font-size:13px;font-weight:bold;color:{a};"
|
| 28 |
"letter-spacing:2px;text-transform:uppercase;"
|
| 29 |
"font-family:'Courier New',monospace;padding:16px 16px 10px;"
|
| 30 |
).format(a=_ACCENT)
|
|
|
|
| 40 |
"#94a3b8", "#c084fc", # Silver / Palladium
|
| 41 |
]
|
| 42 |
|
| 43 |
+
_PLOT_KW = dict(responsive=True, height=520, grid=True, fontscale=1.2)
|
| 44 |
|
| 45 |
|
| 46 |
def _no_data(msg: str) -> pn.pane.HTML:
|
app/legend.py
CHANGED
|
@@ -66,8 +66,8 @@ def build_source_legend() -> pn.pane.HTML:
|
|
| 66 |
margin-right:10px;margin-top:1px;">{glyph}</span>
|
| 67 |
<div>
|
| 68 |
<span style="font-size:12px;font-weight:bold;color:#e2e8f0;">{src}</span>
|
| 69 |
-
<span style="font-size:11px;color:#
|
| 70 |
-
<span style="font-size:10px;color:#
|
| 71 |
</div>
|
| 72 |
</div>"""
|
| 73 |
for src, (glyph, short, desc) in SOURCE_SHAPES.items()
|
|
@@ -80,10 +80,10 @@ def build_severity_legend() -> pn.pane.HTML:
|
|
| 80 |
items = list(SEVERITY_CMAP.items())
|
| 81 |
cells = "".join(
|
| 82 |
f"""<div style="display:flex;align-items:center;margin-bottom:5px;">
|
| 83 |
-
<span style="display:inline-block;width:
|
| 84 |
background:{color};flex-shrink:0;
|
| 85 |
-
box-shadow:0 0
|
| 86 |
-
<span style="margin-left:
|
| 87 |
<b style="color:{color};">{k}</b> {SEV_LABEL[int(k)]}
|
| 88 |
</span>
|
| 89 |
</div>"""
|
|
|
|
| 66 |
margin-right:10px;margin-top:1px;">{glyph}</span>
|
| 67 |
<div>
|
| 68 |
<span style="font-size:12px;font-weight:bold;color:#e2e8f0;">{src}</span>
|
| 69 |
+
<span style="font-size:11px;color:#94a3b8;"> β {short}</span><br>
|
| 70 |
+
<span style="font-size:10px;color:#64748b;">{desc}</span>
|
| 71 |
</div>
|
| 72 |
</div>"""
|
| 73 |
for src, (glyph, short, desc) in SOURCE_SHAPES.items()
|
|
|
|
| 80 |
items = list(SEVERITY_CMAP.items())
|
| 81 |
cells = "".join(
|
| 82 |
f"""<div style="display:flex;align-items:center;margin-bottom:5px;">
|
| 83 |
+
<span style="display:inline-block;width:10px;height:10px;border-radius:50%;
|
| 84 |
background:{color};flex-shrink:0;
|
| 85 |
+
box-shadow:0 0 5px {color}aa;"></span>
|
| 86 |
+
<span style="margin-left:8px;font-size:13px;color:#e2e8f0;">
|
| 87 |
<b style="color:{color};">{k}</b> {SEV_LABEL[int(k)]}
|
| 88 |
</span>
|
| 89 |
</div>"""
|