transformation 섹션 정보 출력

app/integrations/llm/prompt.py

@@ -6,6 +6,7 @@ from integrations.llm.schemas.report import (
     CriticalIssuesInput, CriticalIssuesOutput,
     YouTubeDiagnosisInput, YouTubeDiagnosisOutput,
     BrandConsistencyInput, BrandConsistencyOutput,
+    TransformationInput, TransformationProposal,
 )
 from integrations.llm.schemas.plan import PlanInput, PlanOutput
 from integrations.llm.schemas.market import (
@@ -106,3 +107,10 @@ critical_issues_prompt = Prompt(
     input_class=CriticalIssuesInput,
     output_class=CriticalIssuesOutput,
 )
+
+transformation_prompt = Prompt(
+    file_name="transformation_prompt.txt",
+    prompt_model="REPORT_MODEL",
+    input_class=TransformationInput,
+    output_class=TransformationProposal,
+)

app/integrations/llm/schemas/report.py

@@ -368,6 +368,13 @@ class CriticalIssuesOutput(BaseModel):
     diagnosis: list[DiagnosisItem]
 
 
+# --- Transformation ---
+
+class TransformationInput(BaseModel):
+    clinic_name: str | None = None
+    data: str | None = None
+
+
 # --- BrandConsistency ---
 
 class BrandConsistencyInput(BaseModel):

app/integrations/llm/temp-prompt/transformation_prompt.txt

@@ -0,0 +1,14 @@
+다음은 성형외과/피부과 {clinic_name} 의 전 채널 수집 데이터입니다.
+
+{data}
+
+위 데이터를 바탕으로 이 병원의 마케팅 전환 전략을 수립해줘.
+아래 5개 항목을 포함한 JSON을 출력해줘.
+
+1. brand_identity: 브랜드 아이덴티티 개선 항목 (area, as_is, to_be)
+2. content_strategy: 콘텐츠 전략 개선 항목 (area, as_is, to_be)
+3. platform_strategies: 플랫폼별 전략 (platform, icon, current_metric, target_metric, strategies[{strategy, detail}])
+4. website_improvements: 웹사이트 개선 항목 (area, as_is, to_be)
+5. new_channel_proposals: 신규 채널 제안 (channel, priority, rationale)
+
+출처 번호([1], [2] 등)는 포함하지 마.

app/services/analysis.py

@@ -8,8 +8,8 @@ from common.db.run import select_run, update_run_report, update_run_plan
 from common.db.source import select_run_raw_data, select_run_mainpage_url
 from common.db.market import select_market
 from integrations.llm.llm_service import LLMService
-from integrations.llm.prompt import report_prompt, plan_prompt, youtube_diagnosis_prompt, brand_consistency_prompt, critical_issues_prompt
-from integrations.llm.schemas.report import ReportOutput, ClinicSnapshot, YouTubeAudit, BrandConsistencyOutput, CriticalIssuesOutput, DiagnosisItem
+from integrations.llm.prompt import report_prompt, plan_prompt, youtube_diagnosis_prompt, brand_consistency_prompt, critical_issues_prompt, transformation_prompt
+from integrations.llm.schemas.report import ReportOutput, ClinicSnapshot, YouTubeAudit, BrandConsistencyOutput, CriticalIssuesOutput, DiagnosisItem, TransformationProposal
 from integrations.llm.schemas.plan import PlanOutput
 
 logger = logging.getLogger(__name__)
@@ -208,6 +208,17 @@ async def _build_youtube_audit(youtube: dict) -> dict:
     return YouTubeAudit.model_validate(yt_patch).model_dump()
 
 
+async def _build_transformation(analysis_run_id: str, raw: dict) -> dict:
+    result: TransformationProposal = await LLMService(provider="perplexity").generate(
+        transformation_prompt,
+        {
+            "clinic_name": (raw.get("mainpage") or {}).get("clinicName"),
+            "data":        json.dumps(raw, ensure_ascii=False),
+        },
+    )
+    return result.model_dump()
+
+
 async def _build_critical_issues(analysis_run_id: str, raw: dict) -> list[dict]:
     result: CriticalIssuesOutput = await LLMService(provider="perplexity").generate(
         critical_issues_prompt,
@@ -255,6 +266,7 @@ async def _build_overrides(analysis_run_id: str) -> dict:
     brand = await generate_brand_consistency(analysis_run_id)
     brand_patch = brand.model_dump()["brand_inconsistencies"]
     critical_issues = await _build_critical_issues(analysis_run_id, raw)
+    transformation = await _build_transformation(analysis_run_id, raw)
 
     fb_patch: dict = {}
     if fb_pages:
@@ -273,6 +285,8 @@ async def _build_overrides(analysis_run_id: str) -> dict:
         overrides["youtube_audit"] = yt_patch
     if critical_issues:
         overrides["problem_diagnosis"] = critical_issues
+    if transformation:
+        overrides["transformation"] = transformation
     return overrides