plan report 이름 통일 및 코드 정리
parent
9b4e99abf9
commit
42e09ae2d1
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@ -1,6 +1,6 @@
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from .clinics import router as clinics_router
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from .analysis import router as analysis_router
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from .reports import router as reports_router
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from .plans import router as plans_router
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from .report import router as report_router
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from .plan import router as plan_router
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routers = [clinics_router, analysis_router, reports_router, plans_router]
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routers = [clinics_router, analysis_router, report_router, plan_router]
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@ -6,13 +6,13 @@ from common.deps import verify_api_key
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from integrations.llm.schemas.plan import PlanOutput
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from models.plan import PlanApiResponse
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router = APIRouter(prefix="/api/plans", tags=["plans"], dependencies=[Depends(verify_api_key)])
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router = APIRouter(prefix="/api/plan", tags=["plan"], dependencies=[Depends(verify_api_key)])
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logger = logging.getLogger(__name__)
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@router.get("/{run_id}", response_model=PlanApiResponse)
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@router.get("/{run_id}", response_model=PlanApiResponse, response_model_by_alias=True)
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async def get_plan(run_id: str):
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logger.info("GET /api/plans/%s", run_id)
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logger.info("GET /api/plan/%s", run_id)
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row = await fetchone(
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"SELECT ar.plan_data, ar.created_at, h.hospital_name, h.hospital_name_en, h.url"
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" FROM analysis_runs ar"
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@ -28,9 +28,9 @@ async def get_plan(run_id: str):
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plan = PlanOutput(**data)
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return PlanApiResponse(
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id=run_id,
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clinicName=row["hospital_name"],
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clinicNameEn=row["hospital_name_en"],
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createdAt=str(row["created_at"]),
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targetUrl=row["url"],
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clinic_name=row["hospital_name"],
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clinic_name_en=row["hospital_name_en"],
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created_at=str(row["created_at"]),
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target_url=row["url"],
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**plan.model_dump(),
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)
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@ -6,13 +6,13 @@ from common.deps import verify_api_key
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from integrations.llm.schemas.report import ReportOutput
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from models.report import MarketingReportResponse
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router = APIRouter(prefix="/api/reports", tags=["reports"], dependencies=[Depends(verify_api_key)])
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router = APIRouter(prefix="/api/report", tags=["report"], dependencies=[Depends(verify_api_key)])
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logger = logging.getLogger(__name__)
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@router.get("/{run_id}", response_model=MarketingReportResponse, response_model_by_alias=True)
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async def get_report(run_id: str):
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logger.info("GET /api/reports/%s", run_id)
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logger.info("GET /api/report/%s", run_id)
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row = await fetchone(
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"SELECT ar.report_data, ar.created_at, h.hospital_name, h.hospital_name_en, h.url"
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" FROM analysis_runs ar"
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@ -26,10 +26,11 @@ async def get_report(run_id: str):
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return Response(status_code=204)
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data = json.loads(row["report_data"]) if isinstance(row["report_data"], str) else row["report_data"]
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llm_output = ReportOutput(**data)
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response = MarketingReportResponse.model_validate(llm_output.model_dump())
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response.id = run_id
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response.clinic_name = row["hospital_name"]
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response.clinic_name_en = row["hospital_name_en"]
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response.created_at = str(row["created_at"])
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response.target_url = row["url"]
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return response
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return MarketingReportResponse(
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id=run_id,
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clinic_name=row["hospital_name"],
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clinic_name_en=row["hospital_name_en"],
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created_at=str(row["created_at"]),
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target_url=row["url"],
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**llm_output.model_dump(exclude={"id", "created_at", "target_url"}),
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)
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@ -25,7 +25,7 @@ class FontSpec(BaseModel):
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family: str
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weight: str
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usage: str
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sampleText: str
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sample_text: str
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class LogoUsageRule(BaseModel):
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@ -36,29 +36,29 @@ class LogoUsageRule(BaseModel):
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class ToneOfVoice(BaseModel):
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personality: list[str]
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communicationStyle: str
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doExamples: list[str]
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dontExamples: list[str]
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communication_style: str
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do_examples: list[str]
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dont_examples: list[str]
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class ChannelBrandingRule(BaseModel):
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channel: str
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icon: str
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profilePhoto: str
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bannerSpec: str
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bioTemplate: str
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currentStatus: Literal["correct", "incorrect", "missing"]
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profile_photo: str
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banner_spec: str
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bio_template: str
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current_status: Literal["correct", "incorrect", "missing"]
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class BrandInconsistencyValue(BaseModel):
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class BrandPlanInconsistencyValue(BaseModel):
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channel: str
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value: str
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isCorrect: bool
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is_correct: bool
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class BrandInconsistency(BaseModel):
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class BrandPlanInconsistency(BaseModel):
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field: str
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values: list[BrandInconsistencyValue]
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values: list[BrandPlanInconsistencyValue]
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impact: str
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recommendation: str
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@ -66,26 +66,26 @@ class BrandInconsistency(BaseModel):
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class BrandGuide(BaseModel):
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colors: list[ColorSwatch]
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fonts: list[FontSpec]
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logoRules: list[LogoUsageRule]
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toneOfVoice: ToneOfVoice
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channelBranding: list[ChannelBrandingRule]
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brandInconsistencies: list[BrandInconsistency]
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logo_rules: list[LogoUsageRule]
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tone_of_voice: ToneOfVoice
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channel_branding: list[ChannelBrandingRule]
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brand_inconsistencies: list[BrandPlanInconsistency]
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# --- ChannelStrategy ---
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class ChannelStrategyCard(BaseModel):
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channelId: str
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channelName: str
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channel_id: str
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channel_name: str
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icon: str
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currentStatus: str
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targetGoal: str
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contentTypes: list[str]
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postingFrequency: str
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current_status: str
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target_goal: str
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content_types: list[str]
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posting_frequency: str
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tone: str
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formatGuidelines: list[str]
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format_guidelines: list[str]
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priority: Literal["P0", "P1", "P2"]
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customerJourneyStage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
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customer_journey_stage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
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# --- ContentStrategy ---
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@ -93,8 +93,8 @@ class ChannelStrategyCard(BaseModel):
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class ContentPillar(BaseModel):
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title: str
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description: str
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relatedUSP: str
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exampleTopics: list[str]
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related_usp: str
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example_topics: list[str]
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color: str
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@ -121,30 +121,30 @@ class RepurposingOutput(BaseModel):
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class ContentStrategyData(BaseModel):
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pillars: list[ContentPillar]
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typeMatrix: list[ContentTypeRow]
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type_matrix: list[ContentTypeRow]
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workflow: list[WorkflowStep]
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repurposingSource: str
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repurposingOutputs: list[RepurposingOutput]
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repurposing_source: str
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repurposing_outputs: list[RepurposingOutput]
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# --- Calendar ---
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class CalendarEntry(BaseModel):
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dayOfWeek: int
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day_of_week: int
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channel: str
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channelIcon: str
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contentType: Literal["video", "blog", "social", "ad"]
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channel_icon: str
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content_type: Literal["video", "blog", "social", "ad"]
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title: str
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id: str | None = None
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description: str | None = None
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pillar: str | None = None
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status: Literal["draft", "approved", "published"] | None = None
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isManualEdit: bool | None = None
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aiPromptSeed: str | None = None
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is_manual_edit: bool | None = None
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ai_prompt_seed: str | None = None
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class CalendarWeek(BaseModel):
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weekNumber: int
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week_number: int
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label: str
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entries: list[CalendarEntry]
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@ -158,7 +158,7 @@ class ContentCountSummary(BaseModel):
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class CalendarData(BaseModel):
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weeks: list[CalendarWeek]
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monthlySummary: list[ContentCountSummary]
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monthly_summary: list[ContentCountSummary]
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# --- AssetCollection ---
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@ -166,11 +166,11 @@ class CalendarData(BaseModel):
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class AssetCard(BaseModel):
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id: str
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source: Literal["homepage", "naver_place", "blog", "social", "youtube"]
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sourceLabel: str
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source_label: str
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type: Literal["photo", "video", "text"]
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title: str
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description: str
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repurposingSuggestions: list[str]
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repurposing_suggestions: list[str]
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status: Literal["collected", "pending", "needs_creation"]
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@ -178,62 +178,29 @@ class YouTubeRepurposeItem(BaseModel):
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title: str
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views: int
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type: Literal["Short", "Long"]
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repurposeAs: list[str]
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repurpose_as: list[str]
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class AssetCollectionData(BaseModel):
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assets: list[AssetCard]
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youtubeRepurpose: list[YouTubeRepurposeItem]
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youtube_repurpose: list[YouTubeRepurposeItem]
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# --- Repurposing ---
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class RepurposingProposalItem(BaseModel):
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sourceVideo: YouTubeRepurposeItem
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source_video: YouTubeRepurposeItem
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outputs: list[RepurposingOutput]
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estimatedEffort: Literal["low", "medium", "high"]
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estimated_effort: Literal["low", "medium", "high"]
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priority: Literal["high", "medium", "low"]
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# --- Workflow ---
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class WorkflowVideoDraft(BaseModel):
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script: str
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shootingGuide: list[str]
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duration: str
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# class WorkflowImageTextDraft(BaseModel):
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# type: Literal["cardnews", "blog"]
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# headline: str
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# copy: list[str]
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# layoutHint: str | None = None
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# class WorkflowItem(BaseModel):
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# id: str
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# title: str
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# contentType: Literal["video", "image-text"]
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# channel: str
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# channelIcon: str
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# stage: Literal["planning", "ai-draft", "review", "approved", "scheduled"]
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# userNotes: str | None = None
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# videoDraft: WorkflowVideoDraft | None = None
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# imageTextDraft: WorkflowImageTextDraft | None = None
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# scheduledDate: str | None = None
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# class WorkflowData(BaseModel):
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# items: list[WorkflowItem]
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# --- PlanOutput ---
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class PlanOutput(BaseModel):
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brandGuide: BrandGuide
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channelStrategies: list[ChannelStrategyCard]
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contentStrategy: ContentStrategyData
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brand_guide: BrandGuide
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channel_strategies: list[ChannelStrategyCard]
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content_strategy: ContentStrategyData
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calendar: CalendarData
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assetCollection: AssetCollectionData
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repurposingProposals: list[RepurposingProposalItem] | None = None
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#workflow: WorkflowData | None = None
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asset_collection: AssetCollectionData
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repurposing_proposals: list[RepurposingProposalItem] | None = None
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@ -1,13 +1,6 @@
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from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel
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Severity = Literal["critical", "warning", "good", "excellent", "unknown"]
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ChannelStatus = Literal["active", "inactive", "unknown", "not_found"]
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DataSource = Literal["registry", "scrape"]
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Language = Literal["KR", "EN"]
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VideoType = Literal["Short", "Long"]
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AnnotationType = Literal["highlight", "arrow", "text"]
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from models.status import Severity, ChannelStatus, DataSource, Language, VideoType, AnnotationType
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class ScreenshotAnnotation(BaseModel):
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@ -0,0 +1,10 @@
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from pydantic import BaseModel, ConfigDict
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def _to_camel(s: str) -> str:
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head, *tail = s.split("_")
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return head + "".join(w.capitalize() for w in tail)
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class CamelModel(BaseModel):
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model_config = ConfigDict(populate_by_name=True, alias_generator=_to_camel)
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@ -1,19 +1,200 @@
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from pydantic import BaseModel
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from integrations.llm.schemas.plan import (
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BrandGuide, ChannelStrategyCard, ContentStrategyData,
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CalendarData, AssetCollectionData, RepurposingProposalItem,
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)
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from typing import Literal
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from models.common import CamelModel
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class PlanApiResponse(BaseModel):
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class BrandPlanInconsistencyValue(CamelModel):
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channel: str
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value: str
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is_correct: bool
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class BrandPlanInconsistency(CamelModel):
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field: str
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values: list[BrandPlanInconsistencyValue]
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impact: str
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recommendation: str
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# --- BrandGuide ---
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class ColorSwatch(CamelModel):
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name: str
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hex: str
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usage: str
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class FontSpec(CamelModel):
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family: str
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weight: str
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usage: str
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sample_text: str
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class LogoUsageRule(CamelModel):
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rule: str
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description: str
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correct: bool
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class ToneOfVoice(CamelModel):
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personality: list[str]
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communication_style: str
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do_examples: list[str]
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dont_examples: list[str]
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class ChannelBrandingRule(CamelModel):
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channel: str
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icon: str
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profile_photo: str
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banner_spec: str
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bio_template: str
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current_status: Literal["correct", "incorrect", "missing"]
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class BrandGuide(CamelModel):
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colors: list[ColorSwatch]
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fonts: list[FontSpec]
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logo_rules: list[LogoUsageRule]
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tone_of_voice: ToneOfVoice
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channel_branding: list[ChannelBrandingRule]
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brand_inconsistencies: list[BrandPlanInconsistency]
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# --- ChannelStrategy ---
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class ChannelStrategyCard(CamelModel):
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channel_id: str
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channel_name: str
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icon: str
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current_status: str
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target_goal: str
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content_types: list[str]
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posting_frequency: str
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tone: str
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format_guidelines: list[str]
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priority: Literal["P0", "P1", "P2"]
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customer_journey_stage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
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# --- ContentStrategy ---
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class ContentPillar(CamelModel):
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title: str
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description: str
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related_usp: str
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example_topics: list[str]
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color: str
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class ContentTypeRow(CamelModel):
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format: str
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channels: list[str]
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frequency: str
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purpose: str
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class WorkflowStep(CamelModel):
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step: int
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name: str
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description: str
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owner: str
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duration: str
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class RepurposingOutput(CamelModel):
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format: str
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channel: str
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description: str
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class ContentStrategyData(CamelModel):
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pillars: list[ContentPillar]
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type_matrix: list[ContentTypeRow]
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workflow: list[WorkflowStep]
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repurposing_source: str
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repurposing_outputs: list[RepurposingOutput]
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# --- Calendar ---
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class CalendarEntry(CamelModel):
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day_of_week: int
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channel: str
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channel_icon: str
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content_type: Literal["video", "blog", "social", "ad"]
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title: str
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id: str | None = None
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description: str | None = None
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pillar: str | None = None
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status: Literal["draft", "approved", "published"] | None = None
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is_manual_edit: bool | None = None
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ai_prompt_seed: str | None = None
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class CalendarWeek(CamelModel):
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week_number: int
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label: str
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entries: list[CalendarEntry]
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class ContentCountSummary(CamelModel):
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type: Literal["video", "blog", "social", "ad"]
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label: str
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count: int
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color: str
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class CalendarData(CamelModel):
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weeks: list[CalendarWeek]
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monthly_summary: list[ContentCountSummary]
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# --- AssetCollection ---
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class AssetCard(CamelModel):
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id: str
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clinicName: str | None = None
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clinicNameEn: str | None = None
|
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createdAt: str
|
||||
targetUrl: str
|
||||
brandGuide: BrandGuide
|
||||
channelStrategies: list[ChannelStrategyCard]
|
||||
contentStrategy: ContentStrategyData
|
||||
source: Literal["homepage", "naver_place", "blog", "social", "youtube"]
|
||||
source_label: str
|
||||
type: Literal["photo", "video", "text"]
|
||||
title: str
|
||||
description: str
|
||||
repurposing_suggestions: list[str]
|
||||
status: Literal["collected", "pending", "needs_creation"]
|
||||
|
||||
|
||||
class YouTubeRepurposeItem(CamelModel):
|
||||
title: str
|
||||
views: int
|
||||
type: Literal["Short", "Long"]
|
||||
repurpose_as: list[str]
|
||||
|
||||
|
||||
class AssetCollectionData(CamelModel):
|
||||
assets: list[AssetCard]
|
||||
youtube_repurpose: list[YouTubeRepurposeItem]
|
||||
|
||||
|
||||
# --- Repurposing ---
|
||||
|
||||
class RepurposingProposalItem(CamelModel):
|
||||
source_video: YouTubeRepurposeItem
|
||||
outputs: list[RepurposingOutput]
|
||||
estimated_effort: Literal["low", "medium", "high"]
|
||||
priority: Literal["high", "medium", "low"]
|
||||
|
||||
|
||||
# --- PlanApiResponse ---
|
||||
|
||||
class PlanApiResponse(CamelModel):
|
||||
id: str
|
||||
clinic_name: str | None = None
|
||||
clinic_name_en: str | None = None
|
||||
created_at: str
|
||||
target_url: str
|
||||
brand_guide: BrandGuide
|
||||
channel_strategies: list[ChannelStrategyCard]
|
||||
content_strategy: ContentStrategyData
|
||||
calendar: CalendarData
|
||||
assetCollection: AssetCollectionData
|
||||
repurposingProposals: list[RepurposingProposalItem] | None = None
|
||||
asset_collection: AssetCollectionData
|
||||
repurposing_proposals: list[RepurposingProposalItem] | None = None
|
||||
|
|
|
|||
|
|
@ -1,17 +1,6 @@
|
|||
from __future__ import annotations
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
from integrations.llm.schemas.report import (
|
||||
Severity, ChannelStatus, DataSource, Language, VideoType, AnnotationType,
|
||||
)
|
||||
|
||||
|
||||
def _to_camel(s: str) -> str:
|
||||
head, *tail = s.split("_")
|
||||
return head + "".join(w.capitalize() for w in tail)
|
||||
|
||||
|
||||
class CamelModel(BaseModel):
|
||||
model_config = ConfigDict(populate_by_name=True, alias_generator=_to_camel)
|
||||
from models.common import CamelModel
|
||||
from models.status import Severity, ChannelStatus, DataSource, Language, VideoType, AnnotationType
|
||||
|
||||
|
||||
class ScreenshotAnnotation(CamelModel):
|
||||
|
|
|
|||
|
|
@ -14,3 +14,39 @@ class TaskStatus(StrEnum):
|
|||
START = "start"
|
||||
PROCESSING = "processing"
|
||||
DONE = "done"
|
||||
|
||||
|
||||
class Severity(StrEnum):
|
||||
CRITICAL = "critical"
|
||||
WARNING = "warning"
|
||||
GOOD = "good"
|
||||
EXCELLENT = "excellent"
|
||||
UNKNOWN = "unknown"
|
||||
|
||||
|
||||
class ChannelStatus(StrEnum):
|
||||
ACTIVE = "active"
|
||||
INACTIVE = "inactive"
|
||||
UNKNOWN = "unknown"
|
||||
NOT_FOUND = "not_found"
|
||||
|
||||
|
||||
class DataSource(StrEnum):
|
||||
REGISTRY = "registry"
|
||||
SCRAPE = "scrape"
|
||||
|
||||
|
||||
class Language(StrEnum):
|
||||
KR = "KR"
|
||||
EN = "EN"
|
||||
|
||||
|
||||
class VideoType(StrEnum):
|
||||
SHORT = "Short"
|
||||
LONG = "Long"
|
||||
|
||||
|
||||
class AnnotationType(StrEnum):
|
||||
HIGHLIGHT = "highlight"
|
||||
ARROW = "arrow"
|
||||
TEXT = "text"
|
||||
|
|
|
|||
Loading…
Reference in New Issue