init

bot/prompts/chunk_summary.py

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+from bot.models import ReportType
+
+_BASE = """\
+You are analyzing a batch of Telegram channel posts. Extract structured insights from this chunk.
+
+Channel: {title}
+Chunk {chunk_idx} of {total_chunks}
+
+Posts:
+{chunk_text}
+"""
+
+_CONTENT = """\
+Focus on:
+- Main topics and themes discussed
+- Tone and communication style
+- Content formats (long-form, short updates, lists, etc.)
+- Key narratives or recurring ideas
+- Notable quotes or standout posts
+
+Provide a concise structured summary."""
+
+_CONTENT_STATS = """\
+Focus on:
+- Main topics and themes discussed
+- Tone and communication style
+- Content formats used
+- Key narratives or recurring ideas
+- Posting frequency patterns in this batch
+- Engagement patterns (which topics get more views/forwards/replies)
+- Any notable spikes or drops in engagement
+
+Provide a concise structured summary with both qualitative and quantitative observations."""
+
+_FULL_AUDIT = """\
+Focus on:
+- Main topics and themes discussed
+- Tone and communication style
+- Content formats used
+- Key narratives or recurring ideas
+- Posting frequency patterns
+- Engagement patterns with specific numbers
+- Sentiment analysis (positive/negative/neutral distribution)
+- Audience interaction patterns
+- Content strengths and weaknesses
+- Missed opportunities
+
+Provide a detailed structured summary covering all dimensions."""
+
+CHUNK_PROMPTS = {
+    ReportType.CONTENT: _CONTENT,
+    ReportType.CONTENT_STATS: _CONTENT_STATS,
+    ReportType.FULL_AUDIT: _FULL_AUDIT,
+}
+
+
+def build_chunk_prompt(
+    report_type: ReportType,
+    title: str,
+    chunk_text: str,
+    chunk_idx: int,
+    total_chunks: int,
+) -> str:
+    base = _BASE.format(
+        title=title,
+        chunk_idx=chunk_idx,
+        total_chunks=total_chunks,
+        chunk_text=chunk_text,
+    )
+    return base + "\n" + CHUNK_PROMPTS[report_type]