feat: 쇼츠 품질 모듈 4종 파이프라인 연결

- MotionEngine: stock_fetcher에서 kenburns 대신 7패턴 모션 적용
- HookOptimizer: 스크립트 추출 후 훅 점수 평가 및 최적화
- CaptionTemplates: 코너별 자막 템플릿 매핑 (AI인사이트→brand_4thpath 등)
- ResilientAssembler: 클립별 개별 인코딩 + GPU 자동 감지
- video_assembler work_dir mkdir 누락 버그 수정

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

bots/shorts/caption_renderer.py

@@ -47,10 +47,20 @@ CAPTION_TEMPLATES = {
 
 # Corner → caption template mapping
 CORNER_CAPTION_MAP = {
+    # 현재 블로그 코너
+    'AI인사이트': 'brand_4thpath',
+    '여행맛집': 'tiktok_viral',
+    '스타트업': 'hormozi',
+    '제품리뷰': 'hormozi',
+    '생활꿀팁': 'tiktok_viral',
+    '앱추천': 'brand_4thpath',
+    '재테크절약': 'hormozi',
+    '재테크': 'hormozi',
+    '팩트체크': 'brand_4thpath',
+    # 레거시 코너 (하위 호환)
     '쉬운세상': 'hormozi',
     '숨은보물': 'tiktok_viral',
     '바이브리포트': 'hormozi',
-    '팩트체크': 'brand_4thpath',
     '한컷': 'tiktok_viral',
     '웹소설': 'brand_4thpath',
 }

bots/shorts/stock_fetcher.py

@@ -278,6 +278,10 @@ def fetch_clips(
     expressions = manifest.get('expressions', [])
     char_pose = manifest.get('pose', manifest.get('character', {}).get('default_pose', ''))
 
+    # MotionEngine: 정지 이미지에 7가지 모션 패턴 적용 (직전 2개 제외 자동 선택)
+    from shorts.motion_engine import MotionEngine
+    motion = MotionEngine()
+
     result_clips: list[Path] = []
 
     # 1. 사용자 제공 비디오 클립
@@ -286,23 +290,24 @@ def fetch_clips(
         if _prepare_clip(Path(user_clip), out):
             result_clips.append(out)
 
-    # 2. 사용자 제공 이미지 → Ken Burns
+    # 2. 사용자 제공 이미지 → MotionEngine (7패턴 자동 선택)
     for i, user_img in enumerate(manifest.get('user_images', [])[:max_clips]):
         if len(result_clips) >= max_clips:
             break
         out = clips_dir / f'clip_img_{i+1:02d}.mp4'
-        if _kenburns_image(Path(user_img), out):
+        result_path = motion.apply(str(user_img), duration=6.0, output_path=str(out))
-            result_clips.append(out)
+        if result_path:
+            result_clips.append(Path(result_path))
 
     # 3. 캐릭터 에셋 + 배경 합성
     background = manifest.get('background', '')
     if background and Path(background).exists() and len(result_clips) < max_clips:
-        # 배경 이미지 → Ken Burns 클립 (표정별 합성)
+        # 배경 이미지 → MotionEngine 클립 (표정별 합성)
         for seg_idx, expr_png in enumerate(expressions[:3]):
             if len(result_clips) >= max_clips:
                 break
             out_bg = clips_dir / f'clip_bg_{seg_idx+1:02d}.mp4'
-            if _kenburns_image(Path(background), out_bg):
+            if motion.apply(str(background), duration=6.0, output_path=str(out_bg)):
                 # 표정 오버레이
                 if expr_png and Path(expr_png).exists():
                     out_char = clips_dir / f'clip_char_{seg_idx+1:02d}.mp4'
@@ -374,8 +379,9 @@ def fetch_clips(
         while len(result_clips) < min_clips:
             stock_idx += 1
             out = clips_dir / f'clip_fallback_{stock_idx:02d}.mp4'
-            if _kenburns_image(fallback_img, out):
+            result_path = motion.apply(str(fallback_img), duration=6.0, output_path=str(out))
-                result_clips.append(out)
+            if result_path:
+                result_clips.append(Path(result_path))
             else:
                 break
 

bots/shorts_bot.py

@@ -160,7 +160,8 @@ def produce(article: dict, dry_run: bool = False, cfg: Optional[dict] = None) ->
     from shorts.stock_fetcher import fetch_clips
     from shorts.tts_engine import generate_tts
     from shorts.caption_renderer import render_captions
-    from shorts.video_assembler import assemble
+    from shorts.video_assembler import ResilientAssembler
+    from shorts.hook_optimizer import HookOptimizer
 
     if cfg is None:
         cfg = _load_config()
@@ -192,6 +193,14 @@ def produce(article: dict, dry_run: bool = False, cfg: Optional[dict] = None) ->
         manifest = resolve(article, script=script, cfg=cfg)
         result.steps_completed.append('script_extract')
 
+        # ── STEP 1.5: Hook Optimization ─────────────────────────
+        hook_optimizer = HookOptimizer(threshold=70)
+        original_hook = script.get('hook', '')
+        optimized_hook = hook_optimizer.optimize(original_hook, article)
+        if optimized_hook != original_hook:
+            script['hook'] = optimized_hook
+            logger.info(f'[{article_id}] 훅 최적화: "{original_hook[:20]}" → "{optimized_hook[:20]}"')
+
         # ── STEP 2: Visual Sourcing ──────────────────────────────
         logger.info(f'[{article_id}] STEP 2: Visual Sourcing')
         clips = fetch_clips(script, manifest, clips_dir, ts, cfg=cfg)
@@ -227,12 +236,14 @@ def produce(article: dict, dry_run: bool = False, cfg: Optional[dict] = None) ->
         logger.info(f'[{article_id}] STEP 4: Caption Rendering')
         from shorts.tts_engine import _get_wav_duration
         wav_dur = _get_wav_duration(tts_wav)
-        ass_path = render_captions(script, timestamps, captions_dir, ts, wav_dur, cfg=cfg)
+        corner = article.get('corner', '')
+        ass_path = render_captions(script, timestamps, captions_dir, ts, wav_dur, cfg=cfg, corner=corner)
         result.steps_completed.append('caption_render')
 
-        # ── STEP 5: Video Assembly ───────────────────────────────
+        # ── STEP 5: Video Assembly (ResilientAssembler + GPU 자동 감지) ──
-        logger.info(f'[{article_id}] STEP 5: Video Assembly')
+        logger.info(f'[{article_id}] STEP 5: Video Assembly (Resilient)')
-        video_path = assemble(clips, tts_wav, ass_path, rendered_dir, ts, cfg=cfg)
+        assembler = ResilientAssembler(cfg=cfg)
+        video_path = assembler.assemble_resilient(clips, tts_wav, ass_path, rendered_dir, ts)
         result.video_path = str(video_path)
         result.steps_completed.append('video_assemble')