services/youtube_analyzer.py

from services.utils import run_analysis

SYSTEM_PROMPT = """You are a YouTube SEO expert. Return ONLY a valid JSON object (not an array)."""

DEFAULTS = {
    "video_titles": [{"title": "Topic Deep Dive: Complete Guide", "expected_ctr": "8-12%"}],
    "tags": ["tutorial", "guide", "tips"],
    "description_template": "In this video we explore this topic in depth.",
    "thumbnail_ideas": ["Expressive face with bold text overlay"],
    "best_posting_time": "2-4 PM EST weekdays",
    "engagement_strategies": ["Pin a question comment", "Use end screens"],
    "competition_gap_analysis": "Focus on underserved subtopics within this niche."
}

def analyze_youtube(content: str) -> dict:
    messages = [
        {"role": "system", "content": SYSTEM_PROMPT},
        {"role": "user", "content": f'Topic: "{content[:1000]}"\nReturn a JSON object (not an array) with these keys:\n- video_titles (3 items, each with "title" + "expected_ctr")\n- tags (5 items)\n- description_template (string)\n- thumbnail_ideas (2 items)\n- best_posting_time (string)\n- engagement_strategies (2 items)\n- competition_gap_analysis (string)'}
    ]
    return run_analysis(messages, defaults=DEFAULTS, temperature=0.3, max_new_tokens=800)