Semantic search

backend/app/models/message.py

@@ -4,6 +4,7 @@ Modelli Message, Attachment, SendJob.
 
 import uuid
 from datetime import datetime
+from typing import Any
 
 from sqlalchemy import (
     ARRAY,
@@ -18,7 +19,7 @@ from sqlalchemy import (
     Text,
     func,
 )
-from sqlalchemy.dialects.postgresql import UUID
+from sqlalchemy.dialects.postgresql import TSVECTOR, UUID
 from sqlalchemy.orm import Mapped, mapped_column, relationship
 
 from app.database import Base
@@ -96,6 +97,9 @@ class Message(Base):
 
     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()
     )
@@ -126,6 +130,7 @@ class Message(Base):
             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:
@@ -149,6 +154,8 @@ class Attachment(Base):
     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()
     )