plan report 이름 통일 및 코드 정리

app/api/__init__.py

@@ -1,6 +1,6 @@
 from .clinics import router as clinics_router
 from .analysis import router as analysis_router
-from .reports import router as reports_router
-from .plans import router as plans_router
+from .report import router as report_router
+from .plan import router as plan_router
 
-routers = [clinics_router, analysis_router, reports_router, plans_router]
+routers = [clinics_router, analysis_router, report_router, plan_router]

app/api/plan.py

@@ -0,0 +1,36 @@
+import json
+import logging
+from fastapi import APIRouter, Depends, HTTPException, Response
+from common.db import fetchone
+from common.deps import verify_api_key
+from integrations.llm.schemas.plan import PlanOutput
+from models.plan import PlanApiResponse
+
+router = APIRouter(prefix="/api/plan", tags=["plan"], dependencies=[Depends(verify_api_key)])
+logger = logging.getLogger(__name__)
+
+
+@router.get("/{run_id}", response_model=PlanApiResponse, response_model_by_alias=True)
+async def get_plan(run_id: str):
+    logger.info("GET /api/plan/%s", run_id)
+    row = await fetchone(
+        "SELECT ar.plan_data, ar.created_at, h.hospital_name, h.hospital_name_en, h.url"
+        " FROM analysis_runs ar"
+        " JOIN hospital_baseinfo h ON ar.hospital_id = h.hospital_id"
+        " WHERE ar.analysis_run_id = %s",
+        (run_id,),
+    )
+    if row is None:
+        raise HTTPException(status_code=404, detail="Run not found")
+    if row["plan_data"] is None:
+        return Response(status_code=204)
+    data = json.loads(row["plan_data"]) if isinstance(row["plan_data"], str) else row["plan_data"]
+    plan = PlanOutput(**data)
+    return PlanApiResponse(
+        id=run_id,
+        clinic_name=row["hospital_name"],
+        clinic_name_en=row["hospital_name_en"],
+        created_at=str(row["created_at"]),
+        target_url=row["url"],
+        **plan.model_dump(),
+    )

app/api/plans.py

@@ -1,21 +0,0 @@
-import json
-import logging
-from fastapi import APIRouter, Depends, HTTPException, Response
-from common.db import fetchone
-from common.deps import verify_api_key
-from integrations.llm.schemas.plan import PlanOutput
-
-router = APIRouter(prefix="/api/plans", tags=["plans"], dependencies=[Depends(verify_api_key)])
-logger = logging.getLogger(__name__)
-
-
-@router.get("/{run_id}", response_model=PlanOutput | None)
-async def get_plan(run_id: str):
-    logger.info("GET /api/plans/%s", run_id)
-    row = await fetchone("SELECT plan_data FROM analysis_runs WHERE analysis_run_id = %s", (run_id,))
-    if row is None:
-        raise HTTPException(status_code=404, detail="Run not found")
-    if row["plan_data"] is None:
-        return Response(status_code=204)
-    data = json.loads(row["plan_data"]) if isinstance(row["plan_data"], str) else row["plan_data"]
-    return PlanOutput(**data)

app/api/report.py

@@ -0,0 +1,36 @@
+import json
+import logging
+from fastapi import APIRouter, Depends, HTTPException, Response
+from common.db import fetchone
+from common.deps import verify_api_key
+from integrations.llm.schemas.report import ReportOutput
+from models.report import MarketingReportResponse
+
+router = APIRouter(prefix="/api/report", tags=["report"], dependencies=[Depends(verify_api_key)])
+logger = logging.getLogger(__name__)
+
+
+@router.get("/{run_id}", response_model=MarketingReportResponse, response_model_by_alias=True)
+async def get_report(run_id: str):
+    logger.info("GET /api/report/%s", run_id)
+    row = await fetchone(
+        "SELECT ar.report_data, ar.created_at, h.hospital_name, h.hospital_name_en, h.url"
+        " FROM analysis_runs ar"
+        " JOIN hospital_baseinfo h ON ar.hospital_id = h.hospital_id"
+        " WHERE ar.analysis_run_id = %s",
+        (run_id,),
+    )
+    if row is None:
+        raise HTTPException(status_code=404, detail="Run not found")
+    if row["report_data"] is None:
+        return Response(status_code=204)
+    data = json.loads(row["report_data"]) if isinstance(row["report_data"], str) else row["report_data"]
+    llm_output = ReportOutput(**data)
+    return MarketingReportResponse(
+        id=run_id,
+        clinic_name=row["hospital_name"],
+        clinic_name_en=row["hospital_name_en"],
+        created_at=str(row["created_at"]),
+        target_url=row["url"],
+        **llm_output.model_dump(exclude={"id", "created_at", "target_url"}),
+    )

app/api/reports.py

@@ -1,24 +0,0 @@
-import json
-import logging
-from fastapi import APIRouter, Depends, HTTPException, Response
-from common.db import fetchone
-from common.deps import verify_api_key
-from integrations.llm.schemas.report import ReportOutput
-
-router = APIRouter(prefix="/api/reports", tags=["reports"], dependencies=[Depends(verify_api_key)])
-logger = logging.getLogger(__name__)
-
-
-@router.get("/{run_id}", response_model=ReportOutput | None)
-async def get_report(run_id: str):
-    logger.info("GET /api/reports/%s", run_id)
-    row = await fetchone(
-        "SELECT report_data FROM analysis_runs WHERE analysis_run_id = %s",
-        (run_id,),
-    )
-    if row is None:
-        raise HTTPException(status_code=404, detail="Run not found")
-    if row["report_data"] is None:
-        return Response(status_code=204)
-    data = json.loads(row["report_data"]) if isinstance(row["report_data"], str) else row["report_data"]
-    return ReportOutput(**data)

app/common/utils.py

@@ -7,6 +7,7 @@ import httpx
 REQUEST_TIMEOUT = 60
 
 
+
 def get_env(key: str) -> str:
     v = os.environ.get(key, "")
     if not v:

app/integrations/llm/llm_service.py

@@ -45,6 +45,7 @@ class LLMService:
                 response = await self.client.chat.completions.create(
                     model=prompt.model,
                     messages=[{"role": "user", "content": prompt_text}],
+                    max_tokens=16000,
                     response_format={
                         "type": "json_schema",
                         "json_schema": {"name": prompt.output_class.__name__, "schema": prompt.output_class.model_json_schema()},

app/integrations/llm/schemas/plan.py

@@ -25,7 +25,7 @@ class FontSpec(BaseModel):
     family: str
     weight: str
     usage: str
-    sampleText: str
+    sample_text: str
 
 
 class LogoUsageRule(BaseModel):
@@ -36,29 +36,29 @@ class LogoUsageRule(BaseModel):
 
 class ToneOfVoice(BaseModel):
     personality: list[str]
-    communicationStyle: str
-    doExamples: list[str]
-    dontExamples: list[str]
+    communication_style: str
+    do_examples: list[str]
+    dont_examples: list[str]
 
 
 class ChannelBrandingRule(BaseModel):
     channel: str
     icon: str
-    profilePhoto: str
-    bannerSpec: str
-    bioTemplate: str
-    currentStatus: Literal["correct", "incorrect", "missing"]
+    profile_photo: str
+    banner_spec: str
+    bio_template: str
+    current_status: Literal["correct", "incorrect", "missing"]
 
 
-class BrandInconsistencyValue(BaseModel):
+class BrandPlanInconsistencyValue(BaseModel):
     channel: str
     value: str
-    isCorrect: bool
+    is_correct: bool
 
 
-class BrandInconsistency(BaseModel):
+class BrandPlanInconsistency(BaseModel):
     field: str
-    values: list[BrandInconsistencyValue]
+    values: list[BrandPlanInconsistencyValue]
     impact: str
     recommendation: str
 
@@ -66,26 +66,26 @@ class BrandInconsistency(BaseModel):
 class BrandGuide(BaseModel):
     colors: list[ColorSwatch]
     fonts: list[FontSpec]
-    logoRules: list[LogoUsageRule]
-    toneOfVoice: ToneOfVoice
-    channelBranding: list[ChannelBrandingRule]
-    brandInconsistencies: list[BrandInconsistency]
+    logo_rules: list[LogoUsageRule]
+    tone_of_voice: ToneOfVoice
+    channel_branding: list[ChannelBrandingRule]
+    brand_inconsistencies: list[BrandPlanInconsistency]
 
 
 # --- ChannelStrategy ---
 
 class ChannelStrategyCard(BaseModel):
-    channelId: str
-    channelName: str
+    channel_id: str
+    channel_name: str
     icon: str
-    currentStatus: str
-    targetGoal: str
-    contentTypes: list[str]
-    postingFrequency: str
+    current_status: str
+    target_goal: str
+    content_types: list[str]
+    posting_frequency: str
     tone: str
-    formatGuidelines: list[str]
+    format_guidelines: list[str]
     priority: Literal["P0", "P1", "P2"]
-    customerJourneyStage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
+    customer_journey_stage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
 
 
 # --- ContentStrategy ---
@@ -93,8 +93,8 @@ class ChannelStrategyCard(BaseModel):
 class ContentPillar(BaseModel):
     title: str
     description: str
-    relatedUSP: str
-    exampleTopics: list[str]
+    related_usp: str
+    example_topics: list[str]
     color: str
 
 
@@ -121,30 +121,30 @@ class RepurposingOutput(BaseModel):
 
 class ContentStrategyData(BaseModel):
     pillars: list[ContentPillar]
-    typeMatrix: list[ContentTypeRow]
+    type_matrix: list[ContentTypeRow]
     workflow: list[WorkflowStep]
-    repurposingSource: str
-    repurposingOutputs: list[RepurposingOutput]
+    repurposing_source: str
+    repurposing_outputs: list[RepurposingOutput]
 
 
 # --- Calendar ---
 
 class CalendarEntry(BaseModel):
-    dayOfWeek: int
+    day_of_week: int
     channel: str
-    channelIcon: str
-    contentType: Literal["video", "blog", "social", "ad"]
+    channel_icon: str
+    content_type: Literal["video", "blog", "social", "ad"]
     title: str
     id: str | None = None
     description: str | None = None
     pillar: str | None = None
     status: Literal["draft", "approved", "published"] | None = None
-    isManualEdit: bool | None = None
-    aiPromptSeed: str | None = None
+    is_manual_edit: bool | None = None
+    ai_prompt_seed: str | None = None
 
 
 class CalendarWeek(BaseModel):
-    weekNumber: int
+    week_number: int
     label: str
     entries: list[CalendarEntry]
 
@@ -158,7 +158,7 @@ class ContentCountSummary(BaseModel):
 
 class CalendarData(BaseModel):
     weeks: list[CalendarWeek]
-    monthlySummary: list[ContentCountSummary]
+    monthly_summary: list[ContentCountSummary]
 
 
 # --- AssetCollection ---
@@ -166,11 +166,11 @@ class CalendarData(BaseModel):
 class AssetCard(BaseModel):
     id: str
     source: Literal["homepage", "naver_place", "blog", "social", "youtube"]
-    sourceLabel: str
+    source_label: str
     type: Literal["photo", "video", "text"]
     title: str
     description: str
-    repurposingSuggestions: list[str]
+    repurposing_suggestions: list[str]
     status: Literal["collected", "pending", "needs_creation"]
 
 
@@ -178,62 +178,29 @@ class YouTubeRepurposeItem(BaseModel):
     title: str
     views: int
     type: Literal["Short", "Long"]
-    repurposeAs: list[str]
+    repurpose_as: list[str]
 
 
 class AssetCollectionData(BaseModel):
     assets: list[AssetCard]
-    youtubeRepurpose: list[YouTubeRepurposeItem]
+    youtube_repurpose: list[YouTubeRepurposeItem]
 
 
 # --- Repurposing ---
 
 class RepurposingProposalItem(BaseModel):
-    sourceVideo: YouTubeRepurposeItem
+    source_video: YouTubeRepurposeItem
     outputs: list[RepurposingOutput]
-    estimatedEffort: Literal["low", "medium", "high"]
+    estimated_effort: Literal["low", "medium", "high"]
     priority: Literal["high", "medium", "low"]
 
 
-# --- Workflow ---
-
-class WorkflowVideoDraft(BaseModel):
-    script: str
-    shootingGuide: list[str]
-    duration: str
-
-
-# class WorkflowImageTextDraft(BaseModel):
-#     type: Literal["cardnews", "blog"]
-#     headline: str
-#     copy: list[str]
-#     layoutHint: str | None = None
-
-
-# class WorkflowItem(BaseModel):
-#     id: str
-#     title: str
-#     contentType: Literal["video", "image-text"]
-#     channel: str
-#     channelIcon: str
-#     stage: Literal["planning", "ai-draft", "review", "approved", "scheduled"]
-#     userNotes: str | None = None
-#     videoDraft: WorkflowVideoDraft | None = None
-#     imageTextDraft: WorkflowImageTextDraft | None = None
-#     scheduledDate: str | None = None
-
-
-# class WorkflowData(BaseModel):
-#     items: list[WorkflowItem]
-
-
 # --- PlanOutput ---
 
 class PlanOutput(BaseModel):
-    brandGuide: BrandGuide
-    channelStrategies: list[ChannelStrategyCard]
-    contentStrategy: ContentStrategyData
+    brand_guide: BrandGuide
+    channel_strategies: list[ChannelStrategyCard]
+    content_strategy: ContentStrategyData
     calendar: CalendarData
-    assetCollection: AssetCollectionData
-    repurposingProposals: list[RepurposingProposalItem] | None = None
-    #workflow: WorkflowData | None = None
+    asset_collection: AssetCollectionData
+    repurposing_proposals: list[RepurposingProposalItem] | None = None

app/integrations/llm/schemas/report.py

@@ -1,8 +1,309 @@
+from __future__ import annotations
 from pydantic import BaseModel
+from models.status import Severity, ChannelStatus, DataSource, Language, VideoType, AnnotationType
 
 
-# template.format(**model_dump()) 에 삽입될 변수들
-# 각 채널 raw_data를 호출부에서 json.dumps()로 직렬화해서 넘겨야 함
+class ScreenshotAnnotation(BaseModel):
+    type: AnnotationType
+    x: float
+    y: float
+    width: float | None = None
+    height: float | None = None
+    label: str | None = None
+    color: str | None = None
+
+
+class ScreenshotEvidence(BaseModel):
+    id: str
+    url: str
+    channel: str
+    captured_at: str
+    caption: str
+    source_url: str | None = None
+    annotations: list[ScreenshotAnnotation] | None = None
+
+
+class DiagnosisItem(BaseModel):
+    category: str
+    detail: str
+    severity: Severity
+    evidence_ids: list[str] | None = None
+
+
+# --- ClinicSnapshot ---
+
+class LeadDoctor(BaseModel):
+    name: str
+    credentials: str
+    rating: float
+    review_count: int
+
+
+class PriceRange(BaseModel):
+    min: str
+    max: str
+    currency: str
+
+
+class LogoImages(BaseModel):
+    circle: str | None = None
+    horizontal: str | None = None
+    korean: str | None = None
+
+
+class BrandColors(BaseModel):
+    primary: str
+    accent: str
+    text: str
+
+
+class RegistryData(BaseModel):
+    district: str | None = None
+    branches: str | None = None
+    brand_group: str | None = None
+    website_en: str | None = None
+    naver_place_url: str | None = None
+    gangnam_unni_url: str | None = None
+    google_maps_url: str | None = None
+
+
+class ClinicSnapshot(BaseModel):
+    name: str
+    name_en: str
+    established: str
+    years_in_business: int
+    staff_count: int
+    lead_doctor: LeadDoctor
+    overall_rating: float
+    total_reviews: int
+    price_range: PriceRange
+    certifications: list[str]
+    media_appearances: list[str]
+    medical_tourism: list[str]
+    location: str
+    nearest_station: str
+    phone: str
+    domain: str
+    logo_images: LogoImages | None = None
+    brand_colors: BrandColors | None = None
+    source: DataSource | None = None
+    registry_data: RegistryData | None = None
+
+
+# --- ChannelScore ---
+
+class ChannelScore(BaseModel):
+    channel: str
+    icon: str
+    score: int
+    max_score: int
+    status: Severity
+    headline: str
+
+
+# --- YouTube ---
+
+class WeeklyViewGrowth(BaseModel):
+    absolute: int
+    percentage: float
+
+
+class EstimatedRevenue(BaseModel):
+    min: int
+    max: int
+
+
+class LinkedUrl(BaseModel):
+    label: str
+    url: str
+
+
+class TopVideo(BaseModel):
+    title: str
+    views: int
+    uploaded_ago: str
+    type: VideoType
+    duration: str | None = None
+
+
+class YouTubeAudit(BaseModel):
+    channel_name: str
+    handle: str
+    subscribers: int
+    total_videos: int
+    total_views: int
+    weekly_view_growth: WeeklyViewGrowth
+    estimated_monthly_revenue: EstimatedRevenue
+    avg_video_length: str
+    upload_frequency: str
+    channel_created_date: str
+    subscriber_rank: str
+    channel_description: str
+    linked_urls: list[LinkedUrl]
+    playlists: list[str]
+    top_videos: list[TopVideo]
+    diagnosis: list[DiagnosisItem]
+
+
+# --- Instagram ---
+
+class InstagramAccount(BaseModel):
+    handle: str
+    language: Language
+    label: str
+    posts: int
+    followers: int
+    following: int
+    category: str
+    profile_link: str
+    highlights: list[str]
+    reels_count: int
+    content_format: str
+    profile_photo: str
+    bio: str
+
+
+class InstagramAudit(BaseModel):
+    accounts: list[InstagramAccount]
+    diagnosis: list[DiagnosisItem]
+
+
+# --- Facebook ---
+
+class BrandInconsistencyValue(BaseModel):
+    channel: str
+    value: str
+    is_correct: bool
+
+
+class BrandInconsistency(BaseModel):
+    field: str
+    values: list[BrandInconsistencyValue]
+    impact: str
+    recommendation: str
+
+
+class FacebookPage(BaseModel):
+    url: str
+    page_name: str
+    language: Language
+    label: str
+    followers: int
+    following: int
+    category: str
+    bio: str
+    logo: str
+    logo_description: str
+    link: str
+    linked_domain: str
+    reviews: int
+    recent_post_age: str
+    has_whatsapp: bool
+    post_frequency: str | None = None
+    top_content_type: str | None = None
+    engagement: str | None = None
+
+
+class FacebookAudit(BaseModel):
+    pages: list[FacebookPage]
+    diagnosis: list[DiagnosisItem]
+    brand_inconsistencies: list[BrandInconsistency]
+    consolidation_recommendation: str
+
+
+# --- 기타 채널 / 웹사이트 ---
+
+class OtherChannel(BaseModel):
+    name: str
+    status: ChannelStatus
+    details: str
+    url: str | None = None
+
+
+class TrackingPixel(BaseModel):
+    name: str
+    installed: bool
+    details: str | None = None
+
+
+class SnsLink(BaseModel):
+    platform: str
+    url: str
+    location: str
+
+
+class AdditionalDomain(BaseModel):
+    domain: str
+    purpose: str
+
+
+class WebsiteAudit(BaseModel):
+    primary_domain: str
+    additional_domains: list[AdditionalDomain]
+    sns_links_on_site: bool
+    sns_links_detail: list[SnsLink] | None = None
+    tracking_pixels: list[TrackingPixel]
+    main_cta: str
+
+
+# --- Transformation ---
+
+class AsIsToBeItem(BaseModel):
+    area: str
+    as_is: str
+    to_be: str
+
+
+class StrategyDetail(BaseModel):
+    strategy: str
+    detail: str
+
+
+class PlatformStrategy(BaseModel):
+    platform: str
+    icon: str
+    current_metric: str
+    target_metric: str
+    strategies: list[StrategyDetail]
+
+
+class NewChannelProposal(BaseModel):
+    channel: str
+    priority: str
+    rationale: str
+
+
+class TransformationProposal(BaseModel):
+    brand_identity: list[AsIsToBeItem]
+    content_strategy: list[AsIsToBeItem]
+    platform_strategies: list[PlatformStrategy]
+    website_improvements: list[AsIsToBeItem]
+    new_channel_proposals: list[NewChannelProposal]
+
+
+# --- Roadmap / KPI ---
+
+class RoadmapTask(BaseModel):
+    task: str
+    completed: bool
+
+
+class RoadmapMonth(BaseModel):
+    month: int
+    title: str
+    subtitle: str
+    tasks: list[RoadmapTask]
+
+
+class KPIMetric(BaseModel):
+    metric: str
+    current: str
+    target_3_month: str
+    target_12_month: str
+
+
+# --- ReportInput (prompt 템플릿 변수) ---
+
 class ReportInput(BaseModel):
     clinic_name: str | None = None
     clinic_name_en: str | None = None
@@ -18,26 +319,25 @@ class ReportInput(BaseModel):
     gangnam_unni: str | None = None
 
 
-class ChannelScore(BaseModel):
-    score: int
-    summary: str
-    strengths: list[str]
-    weaknesses: list[str]
+# --- MarketingReport ---
 
-
-class ConversionStrategy(BaseModel):
-    summary: str
-    actions: list[str]
-
-
-# response_format으로 OpenAI structured output에 전달 — dict 필드 사용 불가
-class ReportOutput(BaseModel):
+class MarketingReport(BaseModel):
+    id: str
+    created_at: str
+    target_url: str
     overall_score: int
-    instagram: ChannelScore | None = None
-    facebook: ChannelScore | None = None
-    naver_blog: ChannelScore | None = None
-    youtube: ChannelScore | None = None
-    gangnam_unni: ChannelScore | None = None
-    conversion_strategy: ConversionStrategy
-    roadmap: list[str]
-    kpis: list[str]
+    clinic_snapshot: ClinicSnapshot
+    channel_scores: list[ChannelScore]
+    youtube_audit: YouTubeAudit
+    instagram_audit: InstagramAudit
+    facebook_audit: FacebookAudit
+    other_channels: list[OtherChannel]
+    website_audit: WebsiteAudit
+    problem_diagnosis: list[DiagnosisItem]
+    transformation: TransformationProposal
+    roadmap: list[RoadmapMonth]
+    kpi_dashboard: list[KPIMetric]
+    screenshots: list[ScreenshotEvidence] | None = None
+
+
+ReportOutput = MarketingReport

app/models/common.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel, ConfigDict
+
+
+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)

app/models/plan.py

@@ -1,16 +1,200 @@
-from pydantic import BaseModel
+from typing import Literal
+from models.common import CamelModel
 
 
-class PlanCreate(BaseModel):
-    report_id: str
-    regenerate: bool = False
+class BrandPlanInconsistencyValue(CamelModel):
+    channel: str
+    value: str
+    is_correct: bool
 
 
-class PlanResponse(BaseModel):
+class BrandPlanInconsistency(CamelModel):
+    field: str
+    values: list[BrandPlanInconsistencyValue]
+    impact: str
+    recommendation: str
+
+
+# --- BrandGuide ---
+
+class ColorSwatch(CamelModel):
+    name: str
+    hex: str
+    usage: str
+
+
+class FontSpec(CamelModel):
+    family: str
+    weight: str
+    usage: str
+    sample_text: str
+
+
+class LogoUsageRule(CamelModel):
+    rule: str
+    description: str
+    correct: bool
+
+
+class ToneOfVoice(CamelModel):
+    personality: list[str]
+    communication_style: str
+    do_examples: list[str]
+    dont_examples: list[str]
+
+
+class ChannelBrandingRule(CamelModel):
+    channel: str
+    icon: str
+    profile_photo: str
+    banner_spec: str
+    bio_template: str
+    current_status: Literal["correct", "incorrect", "missing"]
+
+
+class BrandGuide(CamelModel):
+    colors: list[ColorSwatch]
+    fonts: list[FontSpec]
+    logo_rules: list[LogoUsageRule]
+    tone_of_voice: ToneOfVoice
+    channel_branding: list[ChannelBrandingRule]
+    brand_inconsistencies: list[BrandPlanInconsistency]
+
+
+# --- ChannelStrategy ---
+
+class ChannelStrategyCard(CamelModel):
+    channel_id: str
+    channel_name: str
+    icon: str
+    current_status: str
+    target_goal: str
+    content_types: list[str]
+    posting_frequency: str
+    tone: str
+    format_guidelines: list[str]
+    priority: Literal["P0", "P1", "P2"]
+    customer_journey_stage: Literal["awareness", "interest", "consideration", "conversion", "loyalty"] | None = None
+
+
+# --- ContentStrategy ---
+
+class ContentPillar(CamelModel):
+    title: str
+    description: str
+    related_usp: str
+    example_topics: list[str]
+    color: str
+
+
+class ContentTypeRow(CamelModel):
+    format: str
+    channels: list[str]
+    frequency: str
+    purpose: str
+
+
+class WorkflowStep(CamelModel):
+    step: int
+    name: str
+    description: str
+    owner: str
+    duration: str
+
+
+class RepurposingOutput(CamelModel):
+    format: str
+    channel: str
+    description: str
+
+
+class ContentStrategyData(CamelModel):
+    pillars: list[ContentPillar]
+    type_matrix: list[ContentTypeRow]
+    workflow: list[WorkflowStep]
+    repurposing_source: str
+    repurposing_outputs: list[RepurposingOutput]
+
+
+# --- Calendar ---
+
+class CalendarEntry(CamelModel):
+    day_of_week: int
+    channel: str
+    channel_icon: str
+    content_type: Literal["video", "blog", "social", "ad"]
+    title: str
+    id: str | None = None
+    description: str | None = None
+    pillar: str | None = None
+    status: Literal["draft", "approved", "published"] | None = None
+    is_manual_edit: bool | None = None
+    ai_prompt_seed: str | None = None
+
+
+class CalendarWeek(CamelModel):
+    week_number: int
+    label: str
+    entries: list[CalendarEntry]
+
+
+class ContentCountSummary(CamelModel):
+    type: Literal["video", "blog", "social", "ad"]
+    label: str
+    count: int
+    color: str
+
+
+class CalendarData(CamelModel):
+    weeks: list[CalendarWeek]
+    monthly_summary: list[ContentCountSummary]
+
+
+# --- AssetCollection ---
+
+class AssetCard(CamelModel):
     id: str
-    analysis_run_id: str
-    brand_guide: dict
-    channel_strategies: list
-    content_strategy: dict
-    calendar: list
+    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
+    asset_collection: AssetCollectionData
+    repurposing_proposals: list[RepurposingProposalItem] | None = None

app/models/report.py

@@ -1,22 +1,307 @@
-from pydantic import BaseModel
+from __future__ import annotations
+from models.common import CamelModel
+from models.status import Severity, ChannelStatus, DataSource, Language, VideoType, AnnotationType
 
 
-class ClinicInfo(BaseModel):
+class ScreenshotAnnotation(CamelModel):
+    type: AnnotationType
+    x: float
+    y: float
+    width: float | None = None
+    height: float | None = None
+    label: str | None = None
+    color: str | None = None
+
+
+class ScreenshotEvidence(CamelModel):
+    id: str
+    url: str
+    channel: str
+    captured_at: str
+    caption: str
+    source_url: str | None = None
+    annotations: list[ScreenshotAnnotation] | None = None
+
+
+class DiagnosisItem(CamelModel):
+    category: str
+    detail: str
+    severity: Severity
+    evidence_ids: list[str] | None = None
+
+
+class LeadDoctor(CamelModel):
     name: str
+    credentials: str
+    rating: float
+    review_count: int
+
+
+class PriceRange(CamelModel):
+    min: str
+    max: str
+    currency: str
+
+
+class LogoImages(CamelModel):
+    circle: str | None = None
+    horizontal: str | None = None
+    korean: str | None = None
+
+
+class BrandColors(CamelModel):
+    primary: str
+    accent: str
+    text: str
+
+
+class RegistryData(CamelModel):
+    district: str | None = None
+    branches: str | None = None
+    brand_group: str | None = None
+    website_en: str | None = None
+    naver_place_url: str | None = None
+    gangnam_unni_url: str | None = None
+    google_maps_url: str | None = None
+
+
+class ClinicSnapshot(CamelModel):
+    name: str
+    name_en: str
+    established: str
+    years_in_business: int
+    staff_count: int
+    lead_doctor: LeadDoctor
+    overall_rating: float
+    total_reviews: int
+    price_range: PriceRange
+    certifications: list[str]
+    media_appearances: list[str]
+    medical_tourism: list[str]
+    location: str
+    nearest_station: str
+    phone: str
+    domain: str
+    logo_images: LogoImages | None = None
+    brand_colors: BrandColors | None = None
+    source: DataSource | None = None
+    registry_data: RegistryData | None = None
+
+
+class ChannelScore(CamelModel):
+    channel: str
+    icon: str
+    score: int
+    max_score: int
+    status: Severity
+    headline: str
+
+
+class WeeklyViewGrowth(CamelModel):
+    absolute: int
+    percentage: float
+
+
+class EstimatedRevenue(CamelModel):
+    min: int
+    max: int
+
+
+class LinkedUrl(CamelModel):
+    label: str
     url: str
 
 
-class ReportResponse(BaseModel):
+class TopVideo(CamelModel):
+    title: str
+    views: int
+    uploaded_ago: str
+    type: VideoType
+    duration: str | None = None
+
+
+class YouTubeAudit(CamelModel):
+    channel_name: str
+    handle: str
+    subscribers: int
+    total_videos: int
+    total_views: int
+    weekly_view_growth: WeeklyViewGrowth
+    estimated_monthly_revenue: EstimatedRevenue
+    avg_video_length: str
+    upload_frequency: str
+    channel_created_date: str
+    subscriber_rank: str
+    channel_description: str
+    linked_urls: list[LinkedUrl]
+    playlists: list[str]
+    top_videos: list[TopVideo]
+    diagnosis: list[DiagnosisItem]
+
+
+class InstagramAccount(CamelModel):
+    handle: str
+    language: Language
+    label: str
+    posts: int
+    followers: int
+    following: int
+    category: str
+    profile_link: str
+    highlights: list[str]
+    reels_count: int
+    content_format: str
+    profile_photo: str
+    bio: str
+
+
+class InstagramAudit(CamelModel):
+    accounts: list[InstagramAccount]
+    diagnosis: list[DiagnosisItem]
+
+
+class BrandInconsistencyValue(CamelModel):
+    channel: str
+    value: str
+    is_correct: bool
+
+
+class BrandInconsistency(CamelModel):
+    field: str
+    values: list[BrandInconsistencyValue]
+    impact: str
+    recommendation: str
+
+
+class FacebookPage(CamelModel):
+    url: str
+    page_name: str
+    language: Language
+    label: str
+    followers: int
+    following: int
+    category: str
+    bio: str
+    logo: str
+    logo_description: str
+    link: str
+    linked_domain: str
+    reviews: int
+    recent_post_age: str
+    has_whatsapp: bool
+    post_frequency: str | None = None
+    top_content_type: str | None = None
+    engagement: str | None = None
+
+
+class FacebookAudit(CamelModel):
+    pages: list[FacebookPage]
+    diagnosis: list[DiagnosisItem]
+    brand_inconsistencies: list[BrandInconsistency]
+    consolidation_recommendation: str
+
+
+class OtherChannel(CamelModel):
+    name: str
+    status: ChannelStatus
+    details: str
+    url: str | None = None
+
+
+class TrackingPixel(CamelModel):
+    name: str
+    installed: bool
+    details: str | None = None
+
+
+class SnsLink(CamelModel):
+    platform: str
+    url: str
+    location: str
+
+
+class AdditionalDomain(CamelModel):
+    domain: str
+    purpose: str
+
+
+class WebsiteAudit(CamelModel):
+    primary_domain: str
+    additional_domains: list[AdditionalDomain]
+    sns_links_on_site: bool
+    sns_links_detail: list[SnsLink] | None = None
+    tracking_pixels: list[TrackingPixel]
+    main_cta: str
+
+
+class AsIsToBeItem(CamelModel):
+    area: str
+    as_is: str
+    to_be: str
+
+
+class StrategyDetail(CamelModel):
+    strategy: str
+    detail: str
+
+
+class PlatformStrategy(CamelModel):
+    platform: str
+    icon: str
+    current_metric: str
+    target_metric: str
+    strategies: list[StrategyDetail]
+
+
+class NewChannelProposal(CamelModel):
+    channel: str
+    priority: str
+    rationale: str
+
+
+class TransformationProposal(CamelModel):
+    brand_identity: list[AsIsToBeItem]
+    content_strategy: list[AsIsToBeItem]
+    platform_strategies: list[PlatformStrategy]
+    website_improvements: list[AsIsToBeItem]
+    new_channel_proposals: list[NewChannelProposal]
+
+
+class RoadmapTask(CamelModel):
+    task: str
+    completed: bool
+
+
+class RoadmapMonth(CamelModel):
+    month: int
+    title: str
+    subtitle: str
+    tasks: list[RoadmapTask]
+
+
+class KPIMetric(CamelModel):
+    metric: str
+    current: str
+    target_3_month: str
+    target_12_month: str
+
+
+class MarketingReportResponse(CamelModel):
     id: str
-    clinic: ClinicInfo
+    clinic_name: str | None = None
+    clinic_name_en: str | None = None
+    created_at: str
+    target_url: str
     overall_score: int
-    youtube: dict
-    instagram: dict
-    facebook: dict
-    naver_place: dict
-    naver_blog: dict
-    gangnam_unni: dict
-    conversion_strategy: dict
-    roadmap: list
-    kpis: list
-    generated_at: str
+    clinic_snapshot: ClinicSnapshot
+    channel_scores: list[ChannelScore]
+    youtube_audit: YouTubeAudit
+    instagram_audit: InstagramAudit
+    facebook_audit: FacebookAudit
+    other_channels: list[OtherChannel]
+    website_audit: WebsiteAudit
+    problem_diagnosis: list[DiagnosisItem]
+    transformation: TransformationProposal
+    roadmap: list[RoadmapMonth]
+    kpi_dashboard: list[KPIMetric]
+    screenshots: list[ScreenshotEvidence] | None = None

app/models/status.py

@@ -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"