From 1acd8846abd0cfc5c6edda21ca88fdb1af40a8bc Mon Sep 17 00:00:00 2001
From: Dohyun Lim <bluebamus@naver.com>
Date: Tue, 13 Jan 2026 17:27:30 +0900
Subject: [PATCH] fix lyric

---
 .DS_Store                         | Bin 8196 -> 8196 bytes
 app/home/api/routers/v1/home.py   |   2 +-
 app/lyric/api/routers/v1/lyric.py |   1 -
 app/lyric/schemas/lyric.py        |   2 -
 app/utils/chatgpt_prompt.py       |  75 +++++++++++++++---------------
 5 files changed, 38 insertions(+), 42 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 8e90c8cff201144f5b4d7f469ffbde513a443e25..f07c7a1bf108004ece7d11dd80994deca308e116 100644
GIT binary patch
delta 298
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zvXa~apbQAO12LM4+<X_8q@4UDpbW=Eai-h(UB?}<sY)TJN{At~AOqwgm~{dSlX(Or
z<Amn_02;^wbXYn=CPN9bg+)`{=Rhq)l1EsDO&-M#u?d@-1-`ItW|#QJvN>0Tof!ay
C^hMSH

delta 158
zcmZp1XmOa}FQ~!5z`)4BAi$85ZWx@LpIfl8a2or>2Eonj94s7+8k6S;NX7~NzX4Rm
z!l1{H&XCDalAG`1l9ZF51Qg?_`E;Ztzw5Xos(cDuKCk!Hi99s<f((dFKs^i$A_kj<
Y1;4OOY?!c_UE&+d=3db%ril%`08fA|761SM

diff --git a/app/home/api/routers/v1/home.py b/app/home/api/routers/v1/home.py
index fad8ca7..b24b52f 100644
--- a/app/home/api/routers/v1/home.py
+++ b/app/home/api/routers/v1/home.py
@@ -197,7 +197,7 @@ async def crawling(request_body: CrawlingRequest):
             step3_4_start = time.perf_counter()
             print(f"[crawling]   Step 3-4: 응답 파싱 시작 - facility_info: {scraper.facility_info}")
             parsed = await chatgpt_service.parse_marketing_analysis(
-                raw_response, facility_info=scraper.facility_info
+                raw_response
             )
             marketing_analysis = MarketingAnalysis(**parsed)
             step3_4_elapsed = (time.perf_counter() - step3_4_start) * 1000
diff --git a/app/lyric/api/routers/v1/lyric.py b/app/lyric/api/routers/v1/lyric.py
index 13f68f1..d485d0c 100644
--- a/app/lyric/api/routers/v1/lyric.py
+++ b/app/lyric/api/routers/v1/lyric.py
@@ -149,7 +149,6 @@ async def get_lyric_by_task_id(
         task_id=lyric.task_id,
         project_id=lyric.project_id,
         status=lyric.status,
-        lyric_prompt=lyric.lyric_prompt,
         lyric_result=lyric.lyric_result,
         created_at=lyric.created_at,
     )
diff --git a/app/lyric/schemas/lyric.py b/app/lyric/schemas/lyric.py
index d57b7cd..37cb76a 100644
--- a/app/lyric/schemas/lyric.py
+++ b/app/lyric/schemas/lyric.py
@@ -140,7 +140,6 @@ class LyricDetailResponse(BaseModel):
                 "task_id": "0694b716-dbff-7219-8000-d08cb5fce431",
                 "project_id": 1,
                 "status": "completed",
-                "lyric_prompt": "고객명: 스테이 머뭄, 지역: 군산...",
                 "lyric_result": "인스타 감성의 스테이 머뭄\n군산 신흥동 말랭이 마을에서\n여유로운 하루를 보내며\n추억을 만들어가요",
                 "created_at": "2024-01-15T12:00:00",
             }
@@ -151,7 +150,6 @@ class LyricDetailResponse(BaseModel):
     task_id: str = Field(..., description="작업 고유 식별자")
     project_id: int = Field(..., description="프로젝트 ID")
     status: str = Field(..., description="처리 상태")
-    lyric_prompt: str = Field(..., description="가사 생성 프롬프트")
     lyric_result: Optional[str] = Field(None, description="생성된 가사")
     created_at: Optional[datetime] = Field(None, description="생성 일시")
 
diff --git a/app/utils/chatgpt_prompt.py b/app/utils/chatgpt_prompt.py
index cca878e..54d189b 100644
--- a/app/utils/chatgpt_prompt.py
+++ b/app/utils/chatgpt_prompt.py
@@ -70,13 +70,19 @@ Analyze the following internally to inform lyrics creation:
    - Main target audience appeal
    - Nearby famous places or regional characteristics
 
-2. Keywords to Incorporate (use language-appropriate trendy expressions):
-   - Korean: 인스타 감성, 사진같은 하루, 힐링, 여행, 감성 숙소
-   - English: Instagram vibes, picture-perfect day, healing, travel, getaway
-   - Chinese: 网红打卡, 治愈系, 旅行, 度假, 拍照圣地
-   - Japanese: インスタ映え, 写真のような一日, 癒し, 旅行, 絶景
-   - Thai: ที่พักสวย, ฮีลใจ, เที่ยว, ถ่ายรูป, วิวสวย
-   - Vietnamese: check-in đẹp, healing, du lịch, nghỉ dưỡng, view đẹp
+2. Keywords Selection:
+   <<CRITICAL: Use ONLY the keywords for {language}. DO NOT transliterate or use keywords from other languages.>>
+   
+   Select keywords based on {language}:
+   - IF Korean: 인스타 감성, 사진같은 하루, 힐링, 여행, 감성 숙소
+   - IF English: Instagram vibes, picture-perfect day, healing, travel, getaway
+   - IF Chinese: 网红打卡, 治愈系, 旅行, 度假, 拍照圣地
+   - IF Japanese: インスタ映え, 写真のような一日, 癒し, 旅行, 絶景
+   - IF Thai: ที่พักสวย, ฮีลใจ, เที่ยว, ถ่ายรูป, วิวสวย
+   - IF Vietnamese: check-in đẹp, healing, du lịch, nghỉ dưỡng, view đẹp
+   
+   <<FORBIDDEN: Never transliterate keywords from other languages (e.g., "왕홍다카", "인스타바에", "티팍수아이" are WRONG)>>
+
 
 3. Structure:
    - Length: For 1-minute video (approximately 8-12 lines)
@@ -112,15 +118,15 @@ ALL OUTPUT MUST BE 100% WRITTEN IN {language} - NO EXCEPTIONS
 - Follow the exact format below
 
 [OUTPUT FORMAT - SUCCESS]
----
+
 [Lyrics ENTIRELY in {language} here - no other language characters allowed]
----
+
 
 [OUTPUT FORMAT - FAILURE]
 If you cannot generate lyrics due to insufficient information, invalid input, or any other reason:
----
+
 ERROR: [Brief reason for failure in English]
----
+
 """.strip()
 # fmt: on
 
@@ -160,10 +166,18 @@ Provide comprehensive marketing analysis including:
    - Return as JSON with key "tags"
    - **MUST be written in Korean (한국어)**
 
+2. Facilities
+   - Based on the business name and region details, identify 5 likely facilities/amenities
+   - Consider typical facilities for accommodations in the given region
+   - Examples: 바베큐장, 수영장, 주차장, 와이파이, 주방, 테라스, 정원, etc.
+   - Return as JSON with key "facilities"
+   - **MUST be written in Korean (한국어)**
+
 [CRITICAL LANGUAGE REQUIREMENT - ABSOLUTE RULE]
 ALL OUTPUT MUST BE WRITTEN IN KOREAN (한국어) 
 - Analysis sections: Korean only
 - Tags: Korean only
+- Facilities: Korean only
 - This is a NON-NEGOTIABLE requirement
 - Any output in English or other languages is considered a FAILURE
 - Violation of this rule invalidates the entire response
@@ -195,7 +209,8 @@ ALL OUTPUT MUST BE WRITTEN IN KOREAN (한국어)
 ## JSON Data
 ```json
 {{
-    "tags": ["태그1", "태그2", "태그3", "태그4", "태그5"]
+    "tags": ["태그1", "태그2", "태그3", "태그4", "태그5"],
+    "facilities": ["부대시설1", "부대시설2", "부대시설3", "부대시설4", "부대시설5"]
 }}
 ```
 ---
@@ -315,16 +330,18 @@ class ChatgptService:
 위 텍스트를 분석하여 핵심 내용을 항목별로 구분하여 500자 이내로 요약해주세요.
 
 [OUTPUT REQUIREMENTS]
-- 5개 항목으로 구분: 타겟 고객, 핵심 차별점, 지역 특성, 시즌별 포인트, 추천 키워드
+- 5개 항목으로 구분: 타겟 고객, 핵심 차별점, 지역 특성, 시즌별 포인트
 - 각 항목은 줄바꿈으로 구분
 - 총 500자 이내로 요약
+- 내용의 누락이 있어서는 안된다
+- 문장이 자연스러워야 한다
 - 핵심 정보만 간결하게 포함
 - 한국어로 작성
 - 특수문자 사용 금지 (괄호, 슬래시, 하이픈, 물결표 등 제외)
 - 쉼표와 마침표만 사용하여 자연스러운 문장으로 작성
 
 [OUTPUT FORMAT - 반드시 아래 형식 준수]
----
+
 타겟 고객
 [대상 고객층을 자연스러운 문장으로 설명]
 
@@ -336,11 +353,11 @@ class ChatgptService:
 
 시즌별 포인트
 [계절별 매력 포인트를 자연스러운 문장으로 설명]
-
-추천 키워드
-[마케팅에 활용할 키워드를 쉼표로 구분하여 나열]
----
 """
+# 추천 키워드
+# [마케팅에 활용할 키워드를 쉼표로 구분하여 나열]
+
+
 
         result = await self.generate(prompt=prompt)
 
@@ -352,15 +369,9 @@ class ChatgptService:
 
         return result
 
-    async def parse_marketing_analysis(
-        self, raw_response: str, facility_info: str | None = None
-    ) -> dict:
+    async def parse_marketing_analysis(self, raw_response: str) -> dict:
         """ChatGPT 마케팅 분석 응답을 파싱하고 요약하여 딕셔너리로 반환
 
-        Args:
-            raw_response: ChatGPT 마케팅 분석 응답 원문
-            facility_info: 크롤링에서 가져온 편의시설 정보 문자열
-
         Returns:
             dict: {"report": str, "tags": list[str], "facilities": list[str]}
         """
@@ -374,7 +385,7 @@ class ChatgptService:
             try:
                 json_data = json.loads(json_match.group(1))
                 tags = json_data.get("tags", [])
-                print(f"[parse_marketing_analysis] GPT 응답에서 tags 파싱 완료: {tags}")
+                facilities = json_data.get("facilities", [])
                 # JSON 블록을 제외한 리포트 부분 추출
                 report = raw_response[: json_match.start()].strip()
                 # --- 구분자 제거
@@ -383,22 +394,10 @@ class ChatgptService:
                 if report.endswith("---"):
                     report = report[:-3].strip()
             except json.JSONDecodeError:
-                print("[parse_marketing_analysis] JSON 파싱 실패")
                 pass
 
-        # 크롤링에서 가져온 facility_info로 facilities 설정
-        print(f"[parse_marketing_analysis] 크롤링 facility_info 원본: {facility_info}")
-        if facility_info:
-            # 쉼표로 구분된 편의시설 문자열을 리스트로 변환
-            facilities = [f.strip() for f in facility_info.split(",") if f.strip()]
-            print(f"[parse_marketing_analysis] facility_info 파싱 결과: {facilities}")
-        else:
-            facilities = ["등록된 정보 없음"]
-            print("[parse_marketing_analysis] facility_info 없음 - '등록된 정보 없음' 설정")
-
         # 리포트 내용을 500자로 요약
         if report:
             report = await self.summarize_marketing(report)
 
-        print(f"[parse_marketing_analysis] 최종 facilities: {facilities}")
         return {"report": report, "tags": tags, "facilities": facilities}