from scoring import analyze_content


def truncate(text: str, limit: int = 3500) -> str:
    return (text or "")[:limit]


def rewrite_content(queries: str, competitors: str, content: str, mode: str = "Free Local") -> str:
    """
    Semantic SEO content adapter.
    Analyzes content and adds structured SEO expansion sections.
    Works fully offline — no model downloads required.
    """
    analysis = analyze_content(queries, competitors, content)
    missing = analysis.get("missing_entities", "")
    weak = analysis.get("weak_queries", "")
    recommendations = analysis.get("recommendations", "")
    global_score = analysis.get("global_score", "")

    expansion = f"""

---
## Semantic SEO Analysis

Global Score: {global_score}

## Weak Query Coverage

The following queries need stronger coverage in the text:
{truncate(weak, 800)}

## Missing Topical Entities

These entities should be naturally integrated to improve topical authority:
{truncate(missing, 1000)}

## SEO Recommendations

{truncate(recommendations, 1200)}

## Content Improvement Notes

To outrank competitors, this page should:
- Cover all query intents listed in the query pool
- Include explanations of key entities and concepts
- Add FAQ, comparison, and practical usage sections where relevant
- Use clear H2/H3 structure for each major topic
- Avoid keyword stuffing while maintaining high semantic density
"""

    return content.strip() + expansion