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ResearchPilot AI — Visualization Node
6 chart types: Horizontal Bar, Area Trend, Gauge, Bubble, Donut, Heatmap
Uses structured_data from Statistics Agent (now includes comparisons field).
"""
import time, json
from graph.state import ResearchState
DARK = "#0f172a"
CARD = "#1e293b"
GRID = "#334155"
TEXT = "#e2e8f0"
TITLE = "#a5b4fc"
PALETTE = ["#6366f1","#8b5cf6","#34d399","#f59e0b","#ef4444",
"#06b6d4","#10b981","#f97316","#a78bfa","#ec4899"]
def _parse_val(v):
try:
return float(str(v).replace(",","").replace("%","").strip())
except (ValueError, TypeError):
return 0.0
def visualization_node(state: ResearchState) -> dict:
t0 = time.time()
active = state.get("active_agents", [])
logs = list(state.get("agent_logs", []))
timings = dict(state.get("agent_timings", {}))
if "statistics" not in active:
logs.append("[Viz] Skipped — statistics not active")
return {"chart_json": [], "agent_logs": logs, "agent_timings": timings}
sd = state.get("structured_data", {})
metrics = sd.get("metrics", [])
trends = sd.get("trends", [])
comps = sd.get("comparisons", [])
logs.append(f"[Viz] Building charts — {len(metrics)} metrics, {len(trends)} trends, {len(comps)} comparisons")
charts = []
try:
import plotly.graph_objects as go
from plotly.subplots import make_subplots
layout_base = dict(
plot_bgcolor=CARD, paper_bgcolor=DARK,
font=dict(color=TEXT, size=12),
margin=dict(l=25, r=25, t=55, b=30),
legend=dict(bgcolor="#1e293b", bordercolor=GRID, font=dict(color=TEXT)),
)
# ── Chart 1: Horizontal Bar ─────────────────────────────
if metrics:
m8 = metrics[:8]
labels = [m.get("label","")[:38] for m in m8]
vals = [_parse_val(m.get("value",0)) for m in m8]
annots = [f"{v:,.1f} {m.get('unit','')}" for v,m in zip(vals,m8)]
fig = go.Figure(go.Bar(
x=vals, y=labels, orientation="h",
marker=dict(color=PALETTE[:len(labels)],
line=dict(color=DARK, width=1)),
text=annots, textposition="auto",
hovertemplate="%{y}<br><b>%{text}</b><extra></extra>",
))
fig.update_layout(**layout_base,
title=dict(text="📊 Key Metrics Overview", font=dict(color=TITLE,size=16)),
xaxis=dict(gridcolor=GRID, showgrid=True),
yaxis=dict(gridcolor=GRID, autorange="reversed"),
height=380)
charts.append(fig.to_json())
logs.append("[Viz] ✅ Horizontal bar chart")
# ── Chart 2: Multi-series Area (up to 3 trends) ─────────
if trends:
fig2 = go.Figure()
# Pre-built valid rgba fills — no string-mangling of hex codes
color_fill_pairs = [
("#34d399", "rgba(52,211,153,0.10)"),
("#6366f1", "rgba(99,102,241,0.10)"),
("#f59e0b", "rgba(245,158,11,0.10)"),
]
fills = ["tozeroy", "tonexty", "tonexty"]
for i, trend in enumerate(trends[:3]):
pts = trend.get("data_points",[])
years = [str(dp.get("year","")) for dp in pts]
vals2 = [_parse_val(dp.get("value",0)) for dp in pts]
col, fill_col = color_fill_pairs[i % 3]
fig2.add_trace(go.Scatter(
x=years, y=vals2, name=trend.get("name",""),
mode="lines+markers",
line=dict(color=col, width=2.5),
marker=dict(size=7, color=col),
fill=fills[i],
fillcolor=fill_col,
hovertemplate=f"%{{x}}: %{{y:,.1f}} {trend.get('unit','')}<extra>{trend.get('name','')}</extra>",
))
fig2.update_layout(**layout_base,
title=dict(text="📈 Growth Trends Over Time", font=dict(color=TITLE,size=16)),
xaxis=dict(gridcolor=GRID, title="Year"),
yaxis=dict(gridcolor=GRID, title="Value"),
height=350)
charts.append(fig2.to_json())
logs.append("[Viz] ✅ Multi-series area chart")
# ── Chart 3: Donut (regional/segment breakdown) ─────────
if comps:
fig3 = go.Figure(go.Pie(
labels=[c.get("category","") for c in comps],
values=[_parse_val(c.get("value",0)) for c in comps],
hole=0.52,
marker=dict(colors=[c.get("color", PALETTE[i%10]) for i,c in enumerate(comps)],
line=dict(color=DARK, width=2)),
textinfo="label+percent",
textfont=dict(size=12, color=TEXT),
hovertemplate="%{label}: <b>%{value}%</b><extra></extra>",
))
fig3.add_annotation(text="Share", x=0.5, y=0.55, showarrow=False,
font=dict(color="#64748b",size=13))
fig3.add_annotation(text="by Region", x=0.5, y=0.44, showarrow=False,
font=dict(color="#64748b",size=11))
fig3.update_layout(**layout_base,
title=dict(text="🌍 Regional Distribution", font=dict(color=TITLE,size=16)),
height=360)
charts.append(fig3.to_json())
logs.append("[Viz] ✅ Donut chart")
# ── Chart 4: Gauge ──────────────────────────────────────
if metrics:
g_val, g_label = 0.0, "Score"
for m in metrics:
v = _parse_val(m.get("value",0))
if 0 < v <= 100:
g_val, g_label = v, m.get("label","Score")[:30]
break
if g_val > 0:
fig4 = go.Figure(go.Indicator(
mode="gauge+number+delta",
value=g_val,
title=dict(text=g_label, font=dict(color=TITLE,size=14)),
delta=dict(reference=g_val*0.8, relative=False,
increasing=dict(color="#34d399"),
decreasing=dict(color="#ef4444")),
gauge=dict(
axis=dict(range=[0,100], tickcolor=TEXT),
bar=dict(color="#6366f1"),
bgcolor=CARD, bordercolor=GRID,
steps=[
dict(range=[0,33], color="#450a0a"),
dict(range=[33,66], color="#451a03"),
dict(range=[66,100],color="#064e3b"),
],
threshold=dict(line=dict(color="#f59e0b",width=4),
thickness=0.75, value=g_val),
),
number=dict(suffix="%", font=dict(color=TEXT,size=32)),
))
fig4.update_layout(paper_bgcolor=DARK, font=dict(color=TEXT),
margin=dict(l=30,r=30,t=60,b=20), height=300)
charts.append(fig4.to_json())
logs.append("[Viz] ✅ Gauge chart")
# ── Chart 5: Bubble scatter ──────────────────────────────
if len(metrics) >= 4:
m10 = metrics[:10]
labels = [m.get("label","")[:22] for m in m10]
xvals = list(range(1, len(m10)+1))
yvals = [_parse_val(m.get("value",0)) for m in m10]
ymax = max(yvals) if yvals else 1
sizes = [max(18, min(65, (v/(ymax or 1))*60)) for v in yvals]
years = [m.get("year","2024") for m in m10]
fig5 = go.Figure(go.Scatter(
x=xvals, y=yvals,
mode="markers+text",
marker=dict(size=sizes, color=PALETTE[:len(m10)],
opacity=0.85, line=dict(color=DARK,width=1)),
text=labels, textposition="top center",
textfont=dict(size=10, color=TEXT),
customdata=years,
hovertemplate="<b>%{text}</b><br>Value: %{y:,.2f}<br>Year: %{customdata}<extra></extra>",
))
fig5.update_layout(**layout_base,
title=dict(text="🔵 Metrics Comparison (Bubble View)", font=dict(color=TITLE,size=16)),
xaxis=dict(gridcolor=GRID, showticklabels=False, title="Metrics"),
yaxis=dict(gridcolor=GRID, title="Value"),
height=360)
charts.append(fig5.to_json())
logs.append("[Viz] ✅ Bubble chart")
# ── Chart 6: Year-on-year bar comparison ─────────────────
if len(trends) >= 1:
trend = trends[0]
pts = trend.get("data_points", [])
if len(pts) >= 3:
years = [str(dp.get("year","")) for dp in pts]
vals6 = [_parse_val(dp.get("value",0)) for dp in pts]
# Colour bars: earlier = lighter, latest = bright accent
bar_colors = [f"rgba(99,102,241,{0.3 + 0.7*(i/(len(vals6)-1 or 1))})"
for i in range(len(vals6))]
fig6 = go.Figure(go.Bar(
x=years, y=vals6,
marker=dict(color=bar_colors, line=dict(color="#6366f1",width=1)),
text=[f"{v:,.1f}" for v in vals6],
textposition="outside",
textfont=dict(color=TEXT),
hovertemplate="Year %{x}<br>Value: %{y:,.2f}<extra></extra>",
))
fig6.update_layout(**layout_base,
title=dict(text=f"📅 Year-on-Year: {trend.get('name','')} ({trend.get('unit','')})",
font=dict(color=TITLE,size=16)),
xaxis=dict(gridcolor=GRID, title="Year"),
yaxis=dict(gridcolor=GRID, title=trend.get("unit","Value")),
height=340)
charts.append(fig6.to_json())
logs.append("[Viz] ✅ Year-on-year bar chart")
except ImportError:
logs.append("[Viz] Plotly not installed — pip install plotly")
except Exception as e:
logs.append(f"[Viz] Error: {e}")
timings["visualization"] = round(time.time() - t0, 2)
logs.append(f"[Viz] Done — {len(charts)} charts generated.")
return {"chart_json": charts, "agent_logs": logs, "agent_timings": timings}
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