mirror of
https://github.com/idrainformatica/PecFlow.git
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77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
"""add full text search vector to messages and extracted_text to attachments
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Revision ID: 0008
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Revises: 0007
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Create Date: 2026-03-25
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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revision = '0008'
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down_revision = '0007'
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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# 1. Aggiunge colonna search_vector a messages
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op.add_column(
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'messages',
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sa.Column('search_vector', postgresql.TSVECTOR(), nullable=True),
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)
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# 2. Aggiunge colonna extracted_text ad attachments (testo estratto da PDF/DOCX)
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op.add_column(
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'attachments',
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sa.Column('extracted_text', sa.Text(), nullable=True),
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)
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# 3. Indice GIN per ricerca full-text veloce
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op.execute(
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"CREATE INDEX idx_messages_fts ON messages USING gin(search_vector) "
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"WHERE search_vector IS NOT NULL"
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)
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# 4. Funzione trigger che aggiorna search_vector quando cambiano i campi testuali
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op.execute("""
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CREATE OR REPLACE FUNCTION messages_search_vector_update() RETURNS trigger AS $$
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BEGIN
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NEW.search_vector :=
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setweight(to_tsvector('italian', coalesce(NEW.subject, '')), 'A') ||
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setweight(to_tsvector('simple', coalesce(NEW.from_address, '')), 'B') ||
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setweight(to_tsvector('simple',
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coalesce(array_to_string(NEW.to_addresses, ' '), '')), 'B') ||
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setweight(to_tsvector('italian', coalesce(NEW.body_text, '')), 'C');
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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""")
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# 5. Crea trigger (si attiva su INSERT e UPDATE dei campi rilevanti)
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op.execute("""
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CREATE TRIGGER trg_messages_search_vector
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BEFORE INSERT OR UPDATE OF subject, from_address, to_addresses, body_text
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ON messages
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FOR EACH ROW EXECUTE FUNCTION messages_search_vector_update();
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""")
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# 6. Backfill: popola search_vector per i messaggi esistenti
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op.execute("""
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UPDATE messages SET search_vector =
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setweight(to_tsvector('italian', coalesce(subject, '')), 'A') ||
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setweight(to_tsvector('simple', coalesce(from_address, '')), 'B') ||
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setweight(to_tsvector('simple',
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coalesce(array_to_string(to_addresses, ' '), '')), 'B') ||
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setweight(to_tsvector('italian', coalesce(body_text, '')), 'C')
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WHERE search_vector IS NULL
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""")
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def downgrade() -> None:
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op.execute("DROP TRIGGER IF EXISTS trg_messages_search_vector ON messages")
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op.execute("DROP FUNCTION IF EXISTS messages_search_vector_update()")
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op.execute("DROP INDEX IF EXISTS idx_messages_fts")
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op.drop_column('attachments', 'extracted_text')
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op.drop_column('messages', 'search_vector')
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