크롤링에 마케팅 분석 추가, 태그 추가, 부대 시설 추가 완료

app/home/api/routers/v1/home.py

@@ -1,4 +1,5 @@
 import json
+import re
 from datetime import date
 from pathlib import Path
 
@@ -19,8 +20,10 @@ from app.home.schemas.home import (
     GenerateResponse,
     GenerateUploadResponse,
     GenerateUrlsRequest,
+    MarketingAnalysis,
     ProcessedInfo,
 )
+from app.utils.chatgpt_prompt import ChatgptService
 from app.home.worker.main_task import task_process
 from app.utils.nvMapScraper import NvMapScraper
 
@@ -68,6 +71,32 @@ def _extract_region_from_address(road_address: str | None) -> str:
     return ""
 
 
+def _parse_marketing_analysis(raw_response: str) -> MarketingAnalysis:
+    """ChatGPT 마케팅 분석 응답을 파싱하여 MarketingAnalysis 객체로 변환"""
+    tags: list[str] = []
+    facilities: list[str] = []
+    report = raw_response
+
+    # JSON 블록 추출 시도
+    json_match = re.search(r"```json\s*(\{.*?\})\s*```", raw_response, re.DOTALL)
+    if json_match:
+        try:
+            json_data = json.loads(json_match.group(1))
+            tags = json_data.get("tags", [])
+            facilities = json_data.get("facilities", [])
+            # JSON 블록을 제외한 리포트 부분 추출
+            report = raw_response[: json_match.start()].strip()
+            # --- 구분자 제거
+            if report.startswith("---"):
+                report = report[3:].strip()
+            if report.endswith("---"):
+                report = report[:-3].strip()
+        except json.JSONDecodeError:
+            pass
+
+    return MarketingAnalysis(report=report, tags=tags, facilities=facilities)
+
+
 @router.post(
     "/crawling",
     summary="네이버 지도 크롤링",
@@ -100,18 +129,34 @@ async def crawling(request_body: CrawlingRequest):
 
     # 가공된 정보 생성
     processed_info = None
+    marketing_analysis = None
+
     if scraper.base_info:
         road_address = scraper.base_info.get("roadAddress", "")
+        customer_name = scraper.base_info.get("name", "")
+        region = _extract_region_from_address(road_address)
+
         processed_info = ProcessedInfo(
-            customer_name=scraper.base_info.get("name", ""),
+            customer_name=customer_name,
-            region=_extract_region_from_address(road_address),
+            region=region,
             detail_region_info=road_address or "",
         )
 
+        # ChatGPT를 이용한 마케팅 분석
+        chatgpt_service = ChatgptService(
+            customer_name=customer_name,
+            region=region,
+            detail_region_info=road_address or "",
+        )
+        prompt = chatgpt_service.build_market_analysis_prompt()
+        raw_response = await chatgpt_service.generate(prompt)
+        marketing_analysis = _parse_marketing_analysis(raw_response)
+
     return {
         "image_list": scraper.image_link_list,
         "image_count": len(scraper.image_link_list) if scraper.image_link_list else 0,
         "processed_info": processed_info,
+        "marketing_analysis": marketing_analysis,
     }
 
 

app/home/schemas/home.py

@@ -125,6 +125,14 @@ class ProcessedInfo(BaseModel):
     detail_region_info: str = Field(..., description="상세 지역 정보 (roadAddress)")
 
 
+class MarketingAnalysis(BaseModel):
+    """마케팅 분석 결과 스키마"""
+
+    report: str = Field(..., description="마케팅 분석 리포트")
+    tags: list[str] = Field(default_factory=list, description="추천 태그 목록")
+    facilities: list[str] = Field(default_factory=list, description="추천 부대시설 목록")
+
+
 class CrawlingResponse(BaseModel):
     """크롤링 응답 스키마"""
 
@@ -133,6 +141,9 @@ class CrawlingResponse(BaseModel):
     processed_info: Optional[ProcessedInfo] = Field(
         None, description="가공된 장소 정보 (customer_name, region, detail_region_info)"
     )
+    marketing_analysis: Optional[MarketingAnalysis] = Field(
+        None, description="마케팅 분석 결과 (report, tags, facilities)"
+    )
 
 
 class ErrorResponse(BaseModel):

app/home/worker/main_task.py

@@ -57,7 +57,7 @@ async def lyric_task(
     lyric_id = await _save_lyric(task_id, project_id, lyric_prompt)
 
     # GPT 호출
-    result = await service.generate_lyrics(prompt=lyric_prompt)
+    result = await service.generate(prompt=lyric_prompt)
 
     print(f"GPT Response:\n{result}")
 

app/lyric/services/lyrics.py

@@ -332,7 +332,7 @@ async def make_song_result(request: Request, conn: Connection):
         print(f"\n[업데이트된 프롬프트]\n{updated_prompt}\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)
@@ -733,7 +733,7 @@ async def make_automation(request: Request, conn: Connection):
         print(f"\n[최종 프롬프트 길이: {len(updated_prompt)} 자]\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)

app/song/services/song.py

@@ -332,7 +332,7 @@ async def make_song_result(request: Request, conn: Connection):
         print(f"\n[업데이트된 프롬프트]\n{updated_prompt}\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)
@@ -733,7 +733,7 @@ async def make_automation(request: Request, conn: Connection):
         print(f"\n[최종 프롬프트 길이: {len(updated_prompt)} 자]\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)

app/utils/chatgpt_prompt.py

@@ -81,6 +81,99 @@ ERROR: [Brief reason for failure in English]
 """.strip()
 # fmt: on
 
+MARKETING_ANALYSIS_PROMPT_TEMPLATE = """
+[ROLE]
+Content marketing expert specializing in pension/accommodation services in Korea
+
+[INPUT]
+- Business Name: {customer_name}
+- Region: {region}
+- Region Details: {detail_region_info}
+
+[ANALYSIS REQUIREMENTS]
+Provide comprehensive marketing analysis including:
+1. Target Customer Segments
+   - Primary and secondary target personas
+   - Age groups, travel preferences, booking patterns
+2. Unique Selling Propositions (USPs)
+   - Key differentiators based on location and region details
+   - Competitive advantages
+3. Regional Characteristics
+   - Nearby attractions and famous places (within 10 min access)
+   - Local food, activities, and experiences
+   - Transportation accessibility
+4. Seasonal Appeal Points
+   - Best seasons to visit
+   - Seasonal activities and events
+   - Peak/off-peak marketing opportunities
+5. Marketing Keywords
+   - Recommended hashtags and search keywords
+   - Trending terms relevant to the property
+
+[ADDITIONAL REQUIREMENTS]
+1. Recommended Tags
+   - Generate 5 recommended hashtags/tags based on the business characteristics
+   - Tags should be trendy, searchable, and relevant to accommodation marketing
+   - 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
+
+[OUTPUT RULES - STRICTLY ENFORCED]
+- Output analysis ONLY
+- ALL content MUST be written in Korean (한국어) - NO EXCEPTIONS
+- NO greetings or closing remarks
+- NO additional commentary before or after analysis
+- Follow the exact format below
+
+[OUTPUT FORMAT - SUCCESS]
+---
+## 타겟 고객 분석
+[한국어로 작성된 타겟 고객 분석]
+
+## 핵심 차별점 (USP)
+[한국어로 작성된 USP 분석]
+
+## 지역 특성
+[한국어로 작성된 지역 특성 분석]
+
+## 시즌별 매력 포인트
+[한국어로 작성된 시즌별 분석]
+
+## 마케팅 키워드
+[한국어로 작성된 마케팅 키워드]
+
+## JSON Data
+```json
+{{
+    "tags": ["태그1", "태그2", "태그3", "태그4", "태그5"],
+    "facilities": ["부대시설1", "부대시설2", "부대시설3", "부대시설4", "부대시설5"]
+}}
+```
+---
+
+[OUTPUT FORMAT - FAILURE]
+If you cannot generate analysis due to insufficient information, invalid input, or any other reason:
+---
+ERROR: [Brief reason for failure in English]
+---
+""".strip()
+# fmt: on
+
 
 class ChatgptService:
     def __init__(
@@ -105,7 +198,15 @@ class ChatgptService:
             detail_region_info=self.detail_region_info,
         )
 
-    async def generate_lyrics(self, prompt: str | None = None) -> str:
+    def build_market_analysis_prompt(self) -> str:
+        """MARKETING_ANALYSIS_PROMPT_TEMPLATE에 고객 정보를 대입하여 완성된 프롬프트 반환"""
+        return MARKETING_ANALYSIS_PROMPT_TEMPLATE.format(
+            customer_name=self.customer_name,
+            region=self.region,
+            detail_region_info=self.detail_region_info,
+        )
+
+    async def generate(self, prompt: str | None = None) -> str:
         """GPT에게 프롬프트를 전달하여 결과를 반환"""
         if prompt is None:
             prompt = self.build_lyrics_prompt()

app/utils/nvMapScraper.py

@@ -104,6 +104,8 @@ query getAccommodation($id: String!, $deviceType: String) {
 
 
 # if __name__ == "__main__":
+#     import asyncio
+
 #     url = "https://map.naver.com/p/search/%EC%8A%A4%ED%85%8C%EC%9D%B4%EB%A8%B8%EB%AD%84/place/1133638931?c=14.70,0,0,0,dh&placePath=/photo?businessCategory=pension&fromPanelNum=2&locale=ko&searchText=%EC%8A%A4%ED%85%8C%EC%9D%B4%EB%A8%B8%EB%AD%84&svcName=map_pcv5&timestamp=202512191123&fromPanelNum=2&locale=ko&searchText=%EC%8A%A4%ED%85%8C%EC%9D%B4%EB%A8%B8%EB%AD%84&svcName=map_pcv5&timestamp=202512191007&from=map&entry=bmp&filterType=%EC%97%85%EC%B2%B4&businessCategory=pension"
 #     scraper = NvMapScraper(url)
 #     asyncio.run(scraper.scrap())

app/utils/upload_blob_as_request.py

@@ -0,0 +1,64 @@
+import requests
+from pathlib import Path
+
+SAS_TOKEN = "sp=racwdl&st=2025-12-01T00:13:29Z&se=2026-07-31T08:28:29Z&spr=https&sv=2024-11-04&sr=c&sig=7fE2ozVBPu3Gq43%2FZDxEYdEcPLDXyNVfTf16IBasmVQ%3D"
+
+def upload_music_to_azure_blob(file_path = "스테이 머뭄_1.mp3", url = "https://ado2mediastoragepublic.blob.core.windows.net/ado2-media-public-access/ado2-media-original/dev-user-idx/dev-task-idx/test_my_mp3_should_now_exist.mp3"):
+    access_url = f"{url}?{SAS_TOKEN}"
+    headers = {
+        "Content-Type": "audio/mpeg",
+        "x-ms-blob-type": "BlockBlob"
+    }
+    with open(file_path, "rb") as file:
+        response = requests.put(access_url, data=file, headers=headers)
+    if response.status_code in [200, 201]:
+        print(f"Success Status Code: {response.status_code}")
+    else:
+        print(f"Failed Status Code: {response.status_code}")
+        print(f"Response: {response.text}")
+
+def upload_video_to_azure_blob(file_path = "스테이 머뭄.mp4", url = "https://ado2mediastoragepublic.blob.core.windows.net/ado2-media-public-access/ado2-media-original/dev-user-idx/dev-task-idx/test_my_mp3_should_now_exist.mp4"):
+    access_url = f"{url}?{SAS_TOKEN}"
+    headers = {
+        "Content-Type": "video/mp4",
+        "x-ms-blob-type": "BlockBlob"
+    }
+    with open(file_path, "rb") as file:
+        response = requests.put(access_url, data=file, headers=headers)
+    
+    if response.status_code in [200, 201]:
+        print(f"Success Status Code: {response.status_code}")
+    else:
+        print(f"Failed Status Code: {response.status_code}")
+        print(f"Response: {response.text}")
+
+
+def upload_image_to_azure_blob(file_path = "스테이 머뭄.png", url = "https://ado2mediastoragepublic.blob.core.windows.net/ado2-media-public-access/ado2-media-original/dev-user-idx/dev-task-idx/test_my_mp3_should_now_exist.png"):
+    access_url = f"{url}?{SAS_TOKEN}"
+    extension = Path(file_path).suffix.lower()
+    content_types = {
+        ".jpg": "image/jpeg",
+        ".jpeg": "image/jpeg",
+        ".png": "image/png",
+        ".gif": "image/gif",
+        ".webp": "image/webp",
+        ".bmp": "image/bmp"
+    }
+    content_type = content_types.get(extension, "image/jpeg")
+    headers = {
+        "Content-Type": content_type,
+        "x-ms-blob-type": "BlockBlob"
+    }
+    with open(file_path, "rb") as file:
+        response = requests.put(access_url, data=file, headers=headers)
+    
+    if response.status_code in [200, 201]:
+        print(f"Success Status Code: {response.status_code}")
+    else:
+        print(f"Failed Status Code: {response.status_code}")
+        print(f"Response: {response.text}")
+
+    
+upload_video_to_azure_blob()
+
+upload_image_to_azure_blob()

app/video/services/video.py

@@ -332,7 +332,7 @@ async def make_song_result(request: Request, conn: Connection):
         print(f"\n[업데이트된 프롬프트]\n{updated_prompt}\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)
@@ -733,7 +733,7 @@ async def make_automation(request: Request, conn: Connection):
         print(f"\n[최종 프롬프트 길이: {len(updated_prompt)} 자]\n")
 
         # 7. 모델에게 요청
-        generated_lyrics = await chatgpt_api.generate_lyrics(prompt=updated_prompt)
+        generated_lyrics = await chatgpt_api.generate(prompt=updated_prompt)
 
         # 글자 수 계산
         total_chars_with_space = len(generated_lyrics)

o2o_castad_backend.egg-info/SOURCES.txt

@@ -37,6 +37,7 @@ app/home/tests/home/__init__.py
 app/home/tests/home/conftest.py
 app/home/tests/home/test_db.py
 app/home/worker/__init__.py
+app/home/worker/main_task.py
 app/lyric/__init__.py
 app/lyric/dependencies.py
 app/lyric/models.py
@@ -44,8 +45,9 @@ app/lyric/api/__init__.py
 app/lyric/api/lyrics_admin.py
 app/lyric/api/routers/__init__.py
 app/lyric/api/routers/v1/__init__.py
-app/lyric/api/routers/v1/router.py
+app/lyric/api/routers/v1/lyric.py
 app/lyric/schemas/__init__.py
+app/lyric/schemas/lyric.py
 app/lyric/schemas/lyrics_schema.py
 app/lyric/services/__init__.py
 app/lyric/services/base.py
@@ -77,6 +79,7 @@ app/utils/__init__.py
 app/utils/chatgpt_prompt.py
 app/utils/cors.py
 app/utils/nvMapScraper.py
+app/utils/upload_blob_as_request.py
 app/video/__init__.py
 app/video/dependencies.py
 app/video/models.py