blog-lab: 블로그 마케팅 수익화 서비스 추가

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>

blog-lab/app/quality_reviewer.py

@@ -0,0 +1,76 @@
+"""Claude API 기반 블로그 글 품질 리뷰 — 5기준 × 10점, 35/50 통과."""
+
+import json
+import logging
+from typing import Any, Dict, Optional
+
+import anthropic
+
+from .config import ANTHROPIC_API_KEY, CLAUDE_MODEL
+from .db import get_template
+
+logger = logging.getLogger(__name__)
+
+PASS_THRESHOLD = 35  # 50점 만점 중 35점 이상이면 통과
+
+_client: Optional[anthropic.Anthropic] = None
+
+
+def _get_client() -> anthropic.Anthropic:
+    global _client
+    if _client is None:
+        _client = anthropic.Anthropic(api_key=ANTHROPIC_API_KEY)
+    return _client
+
+
+def review_post(title: str, body: str) -> Dict[str, Any]:
+    """블로그 글 품질 리뷰.
+
+    Returns:
+        {
+            "scores": {"empathy": N, "click_appeal": N, "conversion": N, "seo": N, "format": N},
+            "total": N,
+            "pass": bool,
+            "feedback": str
+        }
+    """
+    template = get_template("quality_review")
+    if not template:
+        raise RuntimeError("quality_review 템플릿이 없습니다")
+
+    prompt = template.format(title=title, body=body[:6000])
+
+    client = _get_client()
+    resp = client.messages.create(
+        model=CLAUDE_MODEL,
+        max_tokens=2048,
+        messages=[{"role": "user", "content": prompt}],
+    )
+    raw = resp.content[0].text
+
+    try:
+        text = raw.strip()
+        if text.startswith("```"):
+            lines = text.split("\n")
+            lines = [l for l in lines if not l.strip().startswith("```")]
+            text = "\n".join(lines)
+        result = json.loads(text)
+
+        scores = result.get("scores", {})
+        total = sum(scores.values())
+        passed = total >= PASS_THRESHOLD
+
+        return {
+            "scores": scores,
+            "total": total,
+            "pass": passed,
+            "feedback": result.get("feedback", ""),
+        }
+    except (json.JSONDecodeError, KeyError, TypeError) as e:
+        logger.warning("Quality review JSON parse failed: %s", e)
+        return {
+            "scores": {"empathy": 0, "click_appeal": 0, "conversion": 0, "seo": 0, "format": 0},
+            "total": 0,
+            "pass": False,
+            "feedback": f"리뷰 파싱 실패. 원본 응답:\n{raw[:500]}",
+        }