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The in-house RAG engine (which replaced piragi) reads/writes a `content` column and a `created_at` column on every chunks_<index_type> table and provisions them at runtime via CREATE TABLE IF NOT EXISTS. On databases that already carried the piragi-era tables (column `text`, no `created_at`) that DDL is a silent no-op, so the engine never reshapes them and every ingest/search/list fails with `column "content" ... does not exist`. Migration 030 ALTERs each existing chunk table in place — renames text -> content and adds created_at — preserving the non-rebuildable agent knowledge (journals, decisions, errors, learnings, reviews, conversations) that a docs reindex cannot regenerate. It guards on actual column presence, so it is idempotent and safe on piragi-shaped, already-correct, or absent tables (e.g. chunks_code). Adds a guard test pinning the migration's table list to the IndexType enum so a new index type cannot silently escape the schema alignment.
97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
"""Align RAG chunk tables with the in-house vector-store schema.
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The in-house vector store (which replaced piragi) reads and writes a ``content``
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column and a ``created_at`` column on every ``chunks_<index_type>`` table, and
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provisions those tables at runtime with ``CREATE TABLE IF NOT EXISTS``. On a
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database that already carried the piragi-era tables — column named ``text``, no
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``created_at`` — that runtime DDL is a silent no-op, so the new engine never
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reshapes them and every ingest/search/list fails with
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``column "content" of relation "chunks_<type>" does not exist``.
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These tables hold derived chunks AND non-rebuildable agent knowledge
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(journals, decisions, errors, learnings, reviews, conversations) that a docs
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reindex cannot regenerate, so this migration ALTERs in place — renaming
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``text`` -> ``content`` and adding ``created_at`` — rather than dropping data.
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The legacy ``chunk_index`` / integer ``id`` columns are left untouched: the
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engine never references them and dropping them would be a needless destructive
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change.
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Both directions guard on actual column presence, so the migration is idempotent
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and safe whether a table is piragi-shaped, already engine-shaped, or absent
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(e.g. ``chunks_code``, which has never been populated and will be created fresh
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in the correct shape by the engine).
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Revision ID: 030_rag_chunks_content_schema
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Revises: 029_project_quality_command
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Create Date: 2026-06-15
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"""
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from __future__ import annotations
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from typing import TYPE_CHECKING
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import sqlalchemy as sa
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from alembic import op
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if TYPE_CHECKING:
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from sqlalchemy.engine import Inspector
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revision = "030_rag_chunks_content_schema"
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down_revision = "029_project_quality_command"
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branch_labels = None
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depends_on = None
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# Frozen snapshot of the chunk tables — one per ``IndexType`` value at the time
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# of writing. Hardcoded so the migration stays self-contained and never imports
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# evolving application code; a unit test guards this tuple against the live
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# ``IndexType`` enum so a newly added index type cannot silently escape the
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# schema alignment.
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CHUNK_TABLES = (
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"chunks_code",
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"chunks_documentation",
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"chunks_conversations",
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"chunks_journals",
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"chunks_errors",
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"chunks_standards",
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"chunks_decisions",
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"chunks_reviews",
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"chunks_learnings",
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)
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def _columns(inspector: Inspector, table: str) -> set[str]:
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"""Return the set of column names currently present on ``table``."""
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return {col["name"] for col in inspector.get_columns(table)}
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def upgrade() -> None:
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inspector = sa.inspect(op.get_bind())
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for table in CHUNK_TABLES:
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if not inspector.has_table(table):
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continue
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cols = _columns(inspector, table)
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if "text" in cols and "content" not in cols:
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op.alter_column(table, "text", new_column_name="content")
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if "created_at" not in cols:
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op.add_column(
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table,
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sa.Column(
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"created_at",
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sa.TIMESTAMP(timezone=True),
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nullable=False,
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server_default=sa.text("NOW()"),
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),
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)
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def downgrade() -> None:
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inspector = sa.inspect(op.get_bind())
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for table in CHUNK_TABLES:
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if not inspector.has_table(table):
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continue
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cols = _columns(inspector, table)
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if "created_at" in cols:
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op.drop_column(table, "created_at")
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if "content" in cols and "text" not in cols:
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op.alter_column(table, "content", new_column_name="text")
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