gahusb
ba33e00ce3
네이버 검색 API 키워드 분석 + Claude AI 글 생성 + 품질 리뷰 + 수익 추적 - blog-lab/ 서비스 전체 (FastAPI, SQLite 5테이블, 18 엔드포인트) - docker-compose.yml: blog-lab 서비스 (port 18700) - nginx: /api/blog-marketing/ 라우팅 추가 - .env.example: NAVER_CLIENT_ID/SECRET 추가 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
77 lines
2.2 KiB
Python
77 lines
2.2 KiB
Python
"""Claude API 기반 블로그 글 품질 리뷰 — 5기준 × 10점, 35/50 통과."""
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import json
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import logging
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from typing import Any, Dict, Optional
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import anthropic
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from .config import ANTHROPIC_API_KEY, CLAUDE_MODEL
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from .db import get_template
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logger = logging.getLogger(__name__)
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PASS_THRESHOLD = 35 # 50점 만점 중 35점 이상이면 통과
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_client: Optional[anthropic.Anthropic] = None
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def _get_client() -> anthropic.Anthropic:
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global _client
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if _client is None:
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_client = anthropic.Anthropic(api_key=ANTHROPIC_API_KEY)
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return _client
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def review_post(title: str, body: str) -> Dict[str, Any]:
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"""블로그 글 품질 리뷰.
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Returns:
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{
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"scores": {"empathy": N, "click_appeal": N, "conversion": N, "seo": N, "format": N},
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"total": N,
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"pass": bool,
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"feedback": str
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}
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"""
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template = get_template("quality_review")
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if not template:
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raise RuntimeError("quality_review 템플릿이 없습니다")
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prompt = template.format(title=title, body=body[:6000])
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client = _get_client()
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resp = client.messages.create(
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model=CLAUDE_MODEL,
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max_tokens=2048,
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messages=[{"role": "user", "content": prompt}],
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)
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raw = resp.content[0].text
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try:
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text = raw.strip()
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if text.startswith("```"):
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lines = text.split("\n")
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lines = [l for l in lines if not l.strip().startswith("```")]
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text = "\n".join(lines)
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result = json.loads(text)
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scores = result.get("scores", {})
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total = sum(scores.values())
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passed = total >= PASS_THRESHOLD
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return {
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"scores": scores,
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"total": total,
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"pass": passed,
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"feedback": result.get("feedback", ""),
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}
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except (json.JSONDecodeError, KeyError, TypeError) as e:
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logger.warning("Quality review JSON parse failed: %s", e)
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return {
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"scores": {"empathy": 0, "click_appeal": 0, "conversion": 0, "seo": 0, "format": 0},
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"total": 0,
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"pass": False,
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"feedback": f"리뷰 파싱 실패. 원본 응답:\n{raw[:500]}",
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}
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