mirror of
https://github.com/idrainformatica/PecFlow.git
synced 2026-06-16 12:45:42 +02:00
134 lines
4.1 KiB
Python
134 lines
4.1 KiB
Python
"""
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Schemi Pydantic per Message, Attachment e operazioni correlate.
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"""
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import uuid
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from datetime import datetime
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from typing import Optional
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from pydantic import BaseModel, model_validator
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from app.schemas.label import LabelResponse
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# ─── Search match info ────────────────────────────────────────────────────────
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class AttachmentMatchInfo(BaseModel):
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"""Allegato in cui e' stato trovato il termine cercato."""
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id: uuid.UUID
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filename: str
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model_config = {"from_attributes": True}
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class SearchMatchInfo(BaseModel):
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"""Indica dove e' stato trovato il termine di ricerca in un messaggio."""
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in_subject: bool = False
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in_body: bool = False
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in_attachments: list[AttachmentMatchInfo] = []
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model_config = {"from_attributes": True}
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# ─── Attachment ───────────────────────────────────────────────────────────────
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class AttachmentResponse(BaseModel):
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id: uuid.UUID
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message_id: uuid.UUID
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filename: str
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content_type: Optional[str] = None
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size_bytes: Optional[int] = None
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storage_path: str
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checksum_sha256: Optional[str] = None
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created_at: datetime
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model_config = {"from_attributes": True}
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class MessageResponse(BaseModel):
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id: uuid.UUID
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tenant_id: uuid.UUID
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mailbox_id: uuid.UUID
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message_id_header: Optional[str] = None
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imap_uid: Optional[int] = None
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imap_folder: str
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direction: str
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pec_type: str
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state: str
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subject: Optional[str] = None
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from_address: Optional[str] = None
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to_addresses: list[str] = []
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cc_addresses: list[str] = []
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sent_at: Optional[datetime] = None
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received_at: Optional[datetime] = None
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size_bytes: Optional[int] = None
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body_text: Optional[str] = None
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body_html: Optional[str] = None
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has_attachments: bool = False
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parent_message_id: Optional[uuid.UUID] = None
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is_read: bool = False
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is_starred: bool = False
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is_archived: bool = False
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archived_at: Optional[datetime] = None
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is_trashed: bool = False
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trashed_at: Optional[datetime] = None
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is_pending_conservation: bool = False
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pending_conservation_at: Optional[datetime] = None
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is_conserved: bool = False
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conserved_at: Optional[datetime] = None
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raw_eml_path: Optional[str] = None
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created_at: datetime
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updated_at: datetime
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labels: list[LabelResponse] = []
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# Popolato solo nelle risposte di ricerca full-text
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search_match: Optional[SearchMatchInfo] = None
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@model_validator(mode="before")
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@classmethod
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def coerce_arrays(cls, data: object) -> object:
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"""Normalizza i campi array a liste vuote se None (da ORM)."""
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if hasattr(data, "__dict__"):
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# ORM object
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for field in ("to_addresses", "cc_addresses"):
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val = getattr(data, field, None)
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if val is None:
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object.__setattr__(data, field, [])
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elif isinstance(data, dict):
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for field in ("to_addresses", "cc_addresses"):
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if data.get(field) is None:
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data[field] = []
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return data
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model_config = {"from_attributes": True}
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class MessageListResponse(BaseModel):
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items: list[MessageResponse]
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total: int
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page: int
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page_size: int
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class MessageUpdateRequest(BaseModel):
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is_read: Optional[bool] = None
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is_starred: Optional[bool] = None
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is_archived: Optional[bool] = None
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is_trashed: Optional[bool] = None
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is_pending_conservation: Optional[bool] = None
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is_conserved: Optional[bool] = None
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class MessageBulkUpdateRequest(BaseModel):
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ids: list[uuid.UUID]
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is_read: Optional[bool] = None
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is_starred: Optional[bool] = None
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is_archived: Optional[bool] = None
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is_trashed: Optional[bool] = None
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is_pending_conservation: Optional[bool] = None
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is_conserved: Optional[bool] = None
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class MessageBulkUpdateResponse(BaseModel):
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updated: int
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items: list[MessageResponse]
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