first commit

backend/app/schemas/analysis.py

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+from pydantic import BaseModel
+
+
+class AnalysisStatusOut(BaseModel):
+    case_id: str
+    status: str
+    progress: int = 0
+    current_step: str = ""
+    message: str = ""
+
+
+class AnalysisTriggerOut(BaseModel):
+    task_id: str
+    message: str

backend/app/schemas/assessment.py

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+from datetime import datetime
+from uuid import UUID
+
+from pydantic import BaseModel
+
+from app.models.assessment import ConfidenceLevel, ReviewStatus
+from app.schemas.transaction import TransactionOut
+
+
+class AssessmentOut(BaseModel):
+    id: UUID
+    case_id: UUID
+    transaction_id: UUID
+    transaction: TransactionOut | None = None
+    confidence_level: ConfidenceLevel
+    assessed_amount: float
+    reason: str
+    exclude_reason: str
+    review_status: ReviewStatus
+    review_note: str
+    reviewed_by: str
+    reviewed_at: datetime | None = None
+
+    model_config = {"from_attributes": True}
+
+
+class AssessmentListOut(BaseModel):
+    items: list[AssessmentOut]
+    total: int
+
+
+class ReviewSubmit(BaseModel):
+    review_status: ReviewStatus
+    review_note: str = ""
+    reviewed_by: str = "demo_user"
+
+
+class InquirySuggestionOut(BaseModel):
+    suggestions: list[str]

backend/app/schemas/case.py

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+from datetime import datetime
+from uuid import UUID
+
+from pydantic import BaseModel
+
+from app.models.case import CaseStatus
+
+
+class CaseCreate(BaseModel):
+    case_no: str
+    title: str
+    victim_name: str
+    handler: str = ""
+
+
+class CaseUpdate(BaseModel):
+    title: str | None = None
+    victim_name: str | None = None
+    handler: str | None = None
+    status: CaseStatus | None = None
+
+
+class CaseOut(BaseModel):
+    id: UUID
+    case_no: str
+    title: str
+    victim_name: str
+    handler: str
+    status: CaseStatus
+    image_count: int
+    total_amount: float
+    created_at: datetime
+    updated_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class CaseListOut(BaseModel):
+    items: list[CaseOut]
+    total: int

backend/app/schemas/image.py

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+from datetime import datetime
+from uuid import UUID
+
+from pydantic import BaseModel
+
+from app.models.evidence_image import SourceApp, PageType, OcrStatus
+
+
+class ImageOut(BaseModel):
+    id: UUID
+    case_id: UUID
+    url: str = ""
+    thumb_url: str = ""
+    source_app: SourceApp
+    page_type: PageType
+    ocr_status: OcrStatus
+    file_hash: str
+    uploaded_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class OcrBlockOut(BaseModel):
+    id: UUID
+    content: str
+    bbox: dict
+    seq_order: int
+    confidence: float
+
+    model_config = {"from_attributes": True}
+
+
+class ImageDetailOut(ImageOut):
+    ocr_blocks: list[OcrBlockOut] = []
+
+
+class OcrFieldCorrection(BaseModel):
+    field_name: str
+    old_value: str
+    new_value: str

backend/app/schemas/report.py

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+from datetime import datetime
+from uuid import UUID
+
+from pydantic import BaseModel
+
+from app.models.report import ReportType
+
+
+class ReportCreate(BaseModel):
+    report_type: ReportType
+    include_summary: bool = True
+    include_transactions: bool = True
+    include_flow_chart: bool = True
+    include_timeline: bool = True
+    include_reasons: bool = True
+    include_inquiry: bool = False
+    include_screenshots: bool = False
+
+
+class ReportOut(BaseModel):
+    id: UUID
+    case_id: UUID
+    report_type: ReportType
+    file_path: str
+    version: int
+    created_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class ReportListOut(BaseModel):
+    items: list[ReportOut]
+    total: int

backend/app/schemas/transaction.py

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+from datetime import datetime
+from uuid import UUID
+
+from pydantic import BaseModel
+
+from app.models.evidence_image import SourceApp
+from app.models.transaction import Direction
+
+
+class TransactionOut(BaseModel):
+    id: UUID
+    case_id: UUID
+    source_app: SourceApp
+    trade_time: datetime
+    amount: float
+    direction: Direction
+    counterparty_name: str
+    counterparty_account: str
+    self_account_tail_no: str
+    order_no: str
+    remark: str
+    evidence_image_id: UUID | None = None
+    confidence: float
+    cluster_id: UUID | None = None
+    is_duplicate: bool
+    is_transit: bool
+
+    model_config = {"from_attributes": True}
+
+
+class TransactionListOut(BaseModel):
+    items: list[TransactionOut]
+    total: int
+
+
+class FlowNodeOut(BaseModel):
+    id: str
+    label: str
+    type: str
+
+
+class FlowEdgeOut(BaseModel):
+    source: str
+    target: str
+    amount: float
+    count: int
+    trade_time: str
+
+
+class FlowGraphOut(BaseModel):
+    nodes: list[FlowNodeOut]
+    edges: list[FlowEdgeOut]