Files
PecHub/backend/app/models/message.py
T
2026-03-27 20:59:06 +01:00

218 lines
8.8 KiB
Python

"""
Modelli Message, Attachment, SendJob.
"""
import uuid
from datetime import datetime
from typing import Any
from sqlalchemy import (
ARRAY,
BigInteger,
Boolean,
DateTime,
Enum,
ForeignKey,
Index,
Integer,
String,
Text,
func,
)
from sqlalchemy.dialects.postgresql import TSVECTOR, UUID
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.database import Base
PecDirection = Enum("inbound", "outbound", name="pec_direction", create_type=False)
PecState = Enum(
"draft", "queued", "sent", "accepted", "delivered", "anomaly", "failed", "received",
name="pec_state",
create_type=False,
)
PecMsgType = Enum(
"posta_certificata", "accettazione", "non_accettazione", "presa_in_carico",
"avvenuta_consegna", "mancata_consegna", "errore_consegna",
"preavviso_mancata_consegna", "rilevazione_virus", "unknown",
name="pec_msg_type",
create_type=False,
)
SendJobStatus = Enum(
"pending", "sending", "sent", "failed", "retrying",
name="send_job_status",
create_type=False,
)
class Message(Base):
__tablename__ = "messages"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
tenant_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False
)
mailbox_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("mailboxes.id", ondelete="CASCADE"), nullable=False
)
# Identificatori
message_id_header: Mapped[str | None] = mapped_column(Text, nullable=True)
imap_uid: Mapped[int | None] = mapped_column(BigInteger, nullable=True)
imap_folder: Mapped[str] = mapped_column(String(255), nullable=False, default="INBOX")
direction: Mapped[str] = mapped_column(PecDirection, nullable=False)
pec_type: Mapped[str] = mapped_column(
PecMsgType, nullable=False, default="posta_certificata"
)
state: Mapped[str] = mapped_column(PecState, nullable=False)
# Busta PEC
subject: Mapped[str | None] = mapped_column(Text, nullable=True)
from_address: Mapped[str | None] = mapped_column(String(255), nullable=True)
to_addresses: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
cc_addresses: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
sent_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
received_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
size_bytes: Mapped[int | None] = mapped_column(BigInteger, nullable=True)
# Corpo
body_text: Mapped[str | None] = mapped_column(Text, nullable=True)
body_html: Mapped[str | None] = mapped_column(Text, nullable=True)
has_attachments: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
# Collegamento ricevute
parent_message_id: Mapped[uuid.UUID | None] = mapped_column(
UUID(as_uuid=True), ForeignKey("messages.id"), nullable=True
)
# Flag operativi
is_read: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
is_starred: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
is_archived: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
archived_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
is_trashed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
trashed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
# Scadenzario (Feature 4)
deadline_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
deadline_note: Mapped[str | None] = mapped_column(Text, nullable=True)
# Conservazione
is_pending_conservation: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
pending_conservation_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
is_conserved: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
conserved_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
raw_eml_path: Mapped[str | None] = mapped_column(Text, nullable=True)
# Full-text search vector (aggiornato da trigger DB + worker per allegati)
search_vector: Mapped[Any | None] = mapped_column(TSVECTOR(), nullable=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now()
)
# Relazioni
attachments: Mapped[list["Attachment"]] = relationship(
"Attachment", back_populates="message", cascade="all, delete-orphan"
)
children: Mapped[list["Message"]] = relationship(
"Message", foreign_keys=[parent_message_id]
)
labels: Mapped[list["Label"]] = relationship( # type: ignore[name-defined]
"Label",
secondary="message_labels",
lazy="select",
)
__table_args__ = (
Index("idx_messages_tenant", "tenant_id"),
Index("idx_messages_mailbox", "mailbox_id"),
Index("idx_messages_state", "state"),
Index("idx_messages_received_at", "received_at", postgresql_ops={"received_at": "DESC"}),
Index(
"idx_messages_parent", "parent_message_id",
postgresql_where="parent_message_id IS NOT NULL",
),
Index("idx_messages_imap_uid", "mailbox_id", "imap_uid"),
Index("idx_messages_fts", "search_vector", postgresql_using="gin"),
)
def __repr__(self) -> str:
return f"<Message {self.id} {self.pec_type!r} {self.state!r}>"
class Attachment(Base):
__tablename__ = "attachments"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
tenant_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False
)
message_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("messages.id", ondelete="CASCADE"), nullable=False
)
filename: Mapped[str] = mapped_column(String(512), nullable=False)
content_type: Mapped[str | None] = mapped_column(String(255), nullable=True)
size_bytes: Mapped[int | None] = mapped_column(BigInteger, nullable=True)
storage_path: Mapped[str] = mapped_column(Text, nullable=False)
checksum_sha256: Mapped[str | None] = mapped_column(String(64), nullable=True)
# Testo estratto dal worker (solo PDF e DOCX) per la ricerca full-text
extracted_text: Mapped[str | None] = mapped_column(Text, nullable=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, server_default=func.now()
)
# Relazioni
message: Mapped["Message"] = relationship("Message", back_populates="attachments")
__table_args__ = (
Index("idx_attachments_message", "message_id"),
)
class SendJob(Base):
__tablename__ = "send_jobs"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
tenant_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False
)
mailbox_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), ForeignKey("mailboxes.id"), nullable=False
)
message_id: Mapped[uuid.UUID | None] = mapped_column(
UUID(as_uuid=True), ForeignKey("messages.id"), nullable=True
)
status: Mapped[str] = mapped_column(SendJobStatus, nullable=False, default="pending")
attempt_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
max_attempts: Mapped[int] = mapped_column(Integer, nullable=False, default=5)
next_retry_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
last_error: Mapped[str | None] = mapped_column(Text, nullable=True)
# Invio differito (Feature 5): se impostato, il job non viene processato prima di questa data
scheduled_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
queued_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False, server_default=func.now()
)
sent_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
created_by: Mapped[uuid.UUID | None] = mapped_column(
UUID(as_uuid=True), ForeignKey("users.id"), nullable=True
)
__table_args__ = (
Index("idx_sendjobs_tenant", "tenant_id"),
Index(
"idx_sendjobs_status", "status", "next_retry_at",
postgresql_where="status IN ('pending', 'retrying')",
),
)