outline

app.py

@@ -596,17 +596,30 @@ PROMPT_BULLETS = {
         "Synthesize factual features (Step 1) and behavioral patterns (Step 2) to infer household income bracket",
         "Score location economic indicators: luxury / mid-range / budget venue distribution",
         "Consider transportation mode signals, activity diversity, and temporal flexibility as income proxies",
-        "Output: <code>INCOME_PREDICTION</code> — a single income range",
+        "Output: <code>INCOME_PREDICTION</code> — a single income range with confidence rating (1–5)",
         "Output: <code>INCOME_REASONING</code> — evidence-grounded justification referencing specific mobility observations",
     ],
 }
 
+PROMPT_INPUTS = {
+    1: "② Activity Chronicles + ③ Visiting Summaries — detailed daily visit logs and weekly behavioral statistics generated from raw stay points",
+    2: "Stage 1 response — factual features extracted from Activity Chronicles",
+    3: "Stage 1 + Stage 2 responses — feature extraction and behavioral abstraction combined",
+}
+
+_INPUT_TAG = ('<span style="font-family:\'DM Mono\',monospace;font-size:9px;font-weight:600;'
+              'letter-spacing:0.08em;text-transform:uppercase;color:#888;margin-right:6px;">Input</span>')
+
 def _extract_prompt_instruction(prompt_text, stage):
     bullets = PROMPT_BULLETS.get(stage, [])
     if not bullets:
         return ''
-    items = ''.join(f'<li>{b}</li>' for b in bullets)
-    return f'<ul class="hct-prompt-list">{items}</ul>'
+    inp = PROMPT_INPUTS.get(stage, '')
+    input_block = ('<div style="margin-bottom:8px;padding:6px 10px;background:rgba(0,0,0,0.04);'
+                   'border-radius:6px;font-size:10.5px;line-height:1.6;">'
+                   + _INPUT_TAG + inp + '</div>')
+    items = ''.join('<li>' + b + '</li>' for b in bullets)
+    return input_block + '<ul class="hct-prompt-list">' + items + '</ul>'
 
 
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