8a7239fb77
Replace inline migration logic with proper Alembic migrations: - 001: Initial schema (creates memories table with FTS) - 002: Add multi-user and secrets columns (user_id, is_sensitive, vault_path, encrypted_content) Migrations run automatically on app startup. Existing databases are handled gracefully with IF NOT EXISTS / column existence checks.
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
"""Initial schema with memories table.
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Revision ID: 001
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Revises:
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Create Date: 2026-03-14
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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revision: str = "001"
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down_revision: Union[str, None] = None
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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conn = op.get_bind()
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# Check if table already exists (handles pre-Alembic installations)
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result = conn.execute(
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sa.text("SELECT EXISTS(SELECT 1 FROM information_schema.tables WHERE table_name = 'memories')")
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)
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if result.scalar():
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return
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op.execute("""
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CREATE TABLE memories (
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id SERIAL PRIMARY KEY,
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content TEXT NOT NULL,
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category VARCHAR(50) DEFAULT 'facts',
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tags TEXT DEFAULT '',
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expanded_keywords TEXT DEFAULT '',
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importance REAL DEFAULT 0.5,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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search_vector tsvector GENERATED ALWAYS AS (
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setweight(to_tsvector('english', coalesce(content, '')), 'A') ||
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setweight(to_tsvector('english', coalesce(expanded_keywords, '')), 'B') ||
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setweight(to_tsvector('english', coalesce(tags, '')), 'C') ||
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setweight(to_tsvector('english', coalesce(category, '')), 'D')
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) STORED
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)
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""")
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op.execute("CREATE INDEX idx_memories_search ON memories USING GIN(search_vector)")
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def downgrade() -> None:
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op.drop_index("idx_memories_search")
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op.drop_table("memories")
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