refactor(search): Phase 2A/2B cand reranker 잔재 teardown

- RERANKER_BACKEND_MAP 에서 cand_gte_ml_base 슬러그 제거 (컨테이너·DB 테이블 마이그360·override 이미 종료) - docker-compose.override.cand.yml / override.rerank-cand.yml 삭제 - search.py allowlist · run_eval.py help 정합 - dispatcher scaffold(_resolve_reranker)는 보존 (후보 재진입 대비) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-18 00:00:42 +00:00
5 changed files with 6 additions and 243 deletions
@@ -282,7 +282,7 @@ async def search(
                content={
                    "error_reason": "unknown_reranker_backend",
                    "backend_requested": reranker_backend,
-                    "allowed": ["baseline", "cand_gte_ml_base"],
+                    "allowed": ["baseline"],
                    "detail": msg,
                },
            )
@@ -44,11 +44,10 @@ RERANK_TIMEOUT = 5.0
 # server-side allowlist map. query parameter 가 raw endpoint URL 받지 않음.
 RERANKER_BACKEND_MAP: dict[str, dict[str, str] | None] = {
    "baseline": None,  # production reranker (config.yaml endpoint via AIClient.rerank)
-    "cand_gte_ml_base": {
-        "endpoint": "http://rerank-cand-gte-ml-base:80/rerank",
-    },
-    # mxbai_large 후보 (deberta-v2 → TEI 1.7 미지원) Phase 2B-Extended 이관
-    # bge_v2_gemma_2b 후보 (LLM-based reranker, 1_Pooling/config.json 부재) Phase 2B-Extended 이관
+    # Phase 2B 후보 reranker 전부 NO-GO 종결 (2026-06-18 teardown):
+    #   - cand_gte_ml_base : 컨테이너·DB 테이블(마이그 360)·override.rerank-cand.yml 제거됨
+    #   - mxbai_large (deberta-v2 → TEI 1.7 미지원) / bge_v2_gemma_2b (1_Pooling 부재) 미진입
+    # dispatcher scaffold(_resolve_reranker)는 향후 후보 재진입 위해 보존.
 }


@@ -1,135 +0,0 @@
-# Phase 2A — Embedding candidate compose override (Diagnose only)
-#
-# Profile-isolated: `--profile embed-cand` 명시 opt-in. default up 시 미기동.
-# production fastapi/postgres/reranker 에 영향 0.
-# 본 PR 종료 시 별 chore (PR-2A-Chunks-Cand-Cleanup-1) 에서 제거.
-#
-# 후보 상태 (2026-05-23):
-#   - me5_large_inst : ✅ smoke PASS (dim 1024)
-#   - bge_mgemma2    : ❌ Phase 2A-Extended 별 PR 이관 (9B FP16 → VRAM OOM risk + 다운로드 cost)
-#   - me5_ko         : ❌ 폐기 (401 Unauthorized, gated/모델명 부정확)
-#   - snowflake_l_v2 : 신규 추가 (Snowflake/snowflake-arctic-embed-l-v2.0, 2024-12, multilingual 강화)
-#
-# 사용:
-#   docker compose -f docker-compose.yml -f docker-compose.override.cand.yml \
-#     --profile embed-cand up -d embedding-cand-me5-inst
-#
-# 호출 (DS network 내부):
-#   http://embedding-cand-me5-inst:80/embed
-#   http://embedding-cand-snowflake-l-v2:80/embed
-
-services:
-  embedding-cand-me5-inst:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    restart: unless-stopped
-    container_name: hyungi_document_server-embedding-cand-me5-inst-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=intfloat/multilingual-e5-large-instruct
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - embedding_cand_me5_inst_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s
-    profiles: ["embed-cand"]
-
-  embedding-cand-snowflake-l-v2:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    restart: unless-stopped
-    container_name: hyungi_document_server-embedding-cand-snowflake-l-v2-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=Snowflake/snowflake-arctic-embed-l-v2.0
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - embedding_cand_snowflake_l_v2_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s
-    profiles: ["embed-cand"]
-
-  # ===== 비활성 후보 (Phase 2A-Extended 별 PR 이관 또는 폐기) =====
-  # 진단 박제만 보존. 본 PR scope 외.
-
-  embedding-cand-bge-mgemma2:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    container_name: hyungi_document_server-embedding-cand-bge-mgemma2-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=BAAI/bge-multilingual-gemma2
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - embedding_cand_bge_mgemma2_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 300s
-    profiles: ["embed-cand-extended"]   # 본 PR 미사용. extended 별 profile.
-
-  embedding-cand-me5-ko:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    container_name: hyungi_document_server-embedding-cand-me5-ko-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=dragonkue/multilingual-e5-large-ko
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - embedding_cand_me5_ko_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s
-    profiles: ["embed-cand-disabled"]   # 401 fail. 사용 X.
-
-volumes:
-  embedding_cand_me5_inst_cache:
-  embedding_cand_snowflake_l_v2_cache:
-  embedding_cand_bge_mgemma2_cache:
-  embedding_cand_me5_ko_cache:
@@ -1,101 +0,0 @@
-# Phase 2B — Reranker candidate compose override (Diagnose only)
-#
-# Profile-isolated: `--profile rerank-cand` 명시 opt-in. default up 시 미기동.
-# production fastapi/postgres/reranker(bge-reranker-v2-m3) 에 영향 0.
-# 본 PR 종료 후 별 chore (PR-2B-Rerank-Cand-Cleanup-1) 에서 제거.
-#
-# 후보 상태 (2026-05-23):
-#   - gte_ml_base       : Apache 2.0, 305M, smoke 대기
-#   - mxbai_large       : Apache 2.0, ~435M, safetensors 부재 — TEI smoke risk
-#   - bge_v2_gemma_2b   : Gemma 라이센스, 2.5B FP16 ~5GB, smoke 대기
-#
-# 사용:
-#   docker compose -f docker-compose.yml -f docker-compose.override.rerank-cand.yml \
-#     --profile rerank-cand up -d rerank-cand-gte-ml-base
-
-services:
-  rerank-cand-gte-ml-base:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    restart: unless-stopped
-    container_name: hyungi_document_server-rerank-cand-gte-ml-base-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=Alibaba-NLP/gte-multilingual-reranker-base
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - rerank_cand_gte_ml_base_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s
-    profiles: ["rerank-cand"]
-
-  rerank-cand-mxbai-large:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    restart: unless-stopped
-    container_name: hyungi_document_server-rerank-cand-mxbai-large-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=mixedbread-ai/mxbai-rerank-large-v1
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=4
-    volumes:
-      - rerank_cand_mxbai_large_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s
-    profiles: ["rerank-cand"]
-
-  rerank-cand-bge-v2-gemma-2b:
-    image: ghcr.io/huggingface/text-embeddings-inference:1.7
-    restart: unless-stopped
-    container_name: hyungi_document_server-rerank-cand-bge-v2-gemma-2b-1
-    expose:
-      - "80"
-    environment:
-      - MODEL_ID=BAAI/bge-reranker-v2-gemma
-      - MAX_BATCH_TOKENS=8192
-      - MAX_CONCURRENT_REQUESTS=2
-    volumes:
-      - rerank_cand_bge_v2_gemma_2b_cache:/data
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: 1
-              capabilities: [gpu]
-    healthcheck:
-      test: ["CMD", "curl", "-fsS", "http://localhost/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 120s
-    profiles: ["rerank-cand"]
-
-volumes:
-  rerank_cand_gte_ml_base_cache:
-  rerank_cand_mxbai_large_cache:
-  rerank_cand_bge_v2_gemma_2b_cache:
@@ -1394,7 +1394,7 @@ def main() -> int:
        "--reranker-backend",
        type=str,
        default=None,
-        help="Phase 2B Diagnose reranker dispatcher slug (baseline | cand_gte_ml_base). 미지정 = production.",
+        help="Phase 2B Diagnose reranker dispatcher slug (baseline). 후보 cand_gte_ml_base = NO-GO 종결·teardown(2026-06-18). 미지정 = production.",
    )
    parser.add_argument(
        "--rewrite-backend",