from bot.models import ReportType

_BASE = """\
You are producing a final report for a Telegram channel analysis.

Channel: {title} (@{username})
Subscribers: {subscribers}
Total messages analyzed: {msg_count}
Analysis chunks: {chunk_count}

Below are the summaries from each chunk of the channel's history:

{chunk_summaries}
"""

_CONTENT = """\
Synthesize the chunk summaries into a comprehensive **Content Analysis Report** with these sections:

## Overview
Brief channel description and positioning.

## Key Topics & Themes
Main subject areas with examples.

## Tone & Communication Style
How the channel communicates with its audience.

## Content Strategy
Formats used, posting patterns, narrative arcs.

## Notable Content
Standout posts or recurring motifs.

## Summary
Key takeaways in 3-5 bullet points.

Use Telegram-friendly formatting (bold, bullet points). Be specific — reference actual content patterns you observed."""

_CONTENT_STATS = """\
Synthesize the chunk summaries into a comprehensive **Content & Stats Report** with these sections:

## Overview
Brief channel description, subscriber count, and overall activity level.

## Key Topics & Themes
Main subject areas ranked by frequency and engagement.

## Tone & Communication Style
How the channel communicates with its audience.

## Content Strategy
Formats used, posting patterns, narrative arcs.

## Engagement Analysis
- Average engagement patterns
- Top-performing content types
- Engagement trends over time

## Posting Patterns
Frequency, schedule consistency, any notable gaps or bursts.

## Summary
Key takeaways in 5-7 bullet points mixing qualitative and quantitative insights.

Use Telegram-friendly formatting. Include specific numbers where available."""

_FULL_AUDIT = """\
Synthesize the chunk summaries into a comprehensive **Full Channel Audit** with these sections:

## Executive Summary
Channel positioning, key metrics, and overall assessment.

## Key Topics & Themes
Main subject areas ranked by frequency and engagement, with trend analysis.

## Tone & Communication Style
Detailed analysis of voice, register, and audience relationship.

## Content Strategy Assessment
Formats, patterns, narrative arcs — what works and what doesn't.

## Engagement Deep Dive
- Engagement metrics and benchmarks
- Top-performing vs underperforming content
- Engagement drivers and detractors

## Sentiment Analysis
Overall sentiment distribution, sentiment by topic, shifts over time.

## Audience Insights
Inferred audience profile, interaction patterns, community dynamics.

## Strengths
What the channel does well (3-5 points with evidence).

## Areas for Improvement
Actionable recommendations (3-5 points with specific suggestions).

## Strategic Recommendations
Forward-looking advice for channel growth and content optimization.

Use Telegram-friendly formatting. Be specific — back every claim with observed patterns or data."""

SYNTHESIS_PROMPTS = {
    ReportType.CONTENT: _CONTENT,
    ReportType.CONTENT_STATS: _CONTENT_STATS,
    ReportType.FULL_AUDIT: _FULL_AUDIT,
}


def build_synthesis_prompt(
    report_type: ReportType,
    title: str,
    username: str | None,
    subscribers: int | None,
    msg_count: int,
    chunk_summaries: list[str],
) -> str:
    numbered = "\n\n".join(
        f"### Chunk {i+1}\n{s}" for i, s in enumerate(chunk_summaries)
    )
    base = _BASE.format(
        title=title,
        username=username or "N/A",
        subscribers=subscribers or "N/A",
        msg_count=msg_count,
        chunk_count=len(chunk_summaries),
        chunk_summaries=numbered,
    )
    return base + "\n" + SYNTHESIS_PROMPTS[report_type]