fac10b29e4
Materialize now wraps admin SQL into bigquery_query('<billing>', '<inner>')
which requires the inner SQL to be BigQuery-flavor (backticked
identifiers, native function syntax). v24 migrates existing rows from
DuckDB-flavor (bq."ds"."tbl") to (`<project>.ds.tbl`) using the
configured BQ project. Idempotent on already-converted rows; logs a
warning and skips when the project isn't configured (operator can
configure + restart for retry).
100 lines
3.6 KiB
Python
100 lines
3.6 KiB
Python
"""v20 adds source_query column to table_registry.
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Backs query_mode='materialized' for BigQuery: admin registers a SQL body
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that the scheduler runs through the DuckDB BQ extension and writes as a
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parquet to /data/extracts/bigquery/data/<id>.parquet.
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The v19 step (#150) drops dataset_permissions, access_requests tables and
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users.role, table_registry.is_public columns; v20 then ALTERs the post-v19
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table_registry to add the source_query column.
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"""
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import duckdb
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from src.db import SCHEMA_VERSION, _ensure_schema, get_schema_version
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def test_schema_version_is_24():
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# bumped from 23→24 for the materialized BQ source_query rewrite migration
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assert SCHEMA_VERSION == 24
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def test_v20_adds_source_query(tmp_path):
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db_path = tmp_path / "system.duckdb"
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conn = duckdb.connect(str(db_path))
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_ensure_schema(conn)
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cols = {
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r[0] for r in conn.execute(
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"SELECT column_name FROM information_schema.columns "
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"WHERE table_name = 'table_registry'"
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).fetchall()
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}
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assert "source_query" in cols, f"source_query missing from {cols}"
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assert get_schema_version(conn) == SCHEMA_VERSION
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conn.close()
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def test_v23_adds_claude_md_template(tmp_path):
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"""v23 must create the claude_md_template singleton table."""
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db_path = tmp_path / "system.duckdb"
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conn = duckdb.connect(str(db_path))
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_ensure_schema(conn)
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tables = {
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r[0] for r in conn.execute(
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"SELECT table_name FROM information_schema.tables "
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"WHERE table_schema = 'main'"
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).fetchall()
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}
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assert "claude_md_template" in tables, f"claude_md_template missing from {tables}"
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# Singleton row seeded
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row = conn.execute("SELECT id, content FROM claude_md_template WHERE id = 1").fetchone()
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assert row is not None
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assert row[0] == 1
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assert row[1] is None # default = no override
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conn.close()
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def test_v19_db_migrates_to_v20(tmp_path):
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"""Pre-existing v19 DB (post-RBAC-drop) without source_query upgrades
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cleanly without losing data."""
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db_path = tmp_path / "system.duckdb"
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conn = duckdb.connect(str(db_path))
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# Simulate a v19 DB at minimal but realistic shape: schema_version row +
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# a table_registry row in the post-v19 column shape (no is_public column,
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# since v19 finalize dropped it via the table-rebuild idiom).
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conn.execute(
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"CREATE TABLE schema_version (version INTEGER, "
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"applied_at TIMESTAMP DEFAULT current_timestamp)"
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)
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conn.execute("INSERT INTO schema_version (version) VALUES (19)")
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conn.execute("""CREATE TABLE table_registry (
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id VARCHAR PRIMARY KEY, name VARCHAR NOT NULL,
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source_type VARCHAR, bucket VARCHAR, source_table VARCHAR,
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sync_strategy VARCHAR DEFAULT 'full_refresh',
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query_mode VARCHAR DEFAULT 'local',
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sync_schedule VARCHAR, profile_after_sync BOOLEAN DEFAULT true,
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primary_key VARCHAR, folder VARCHAR, description TEXT,
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registered_by VARCHAR,
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registered_at TIMESTAMP DEFAULT current_timestamp
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)""")
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conn.execute("INSERT INTO table_registry (id, name) VALUES ('foo', 'foo')")
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_ensure_schema(conn)
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assert get_schema_version(conn) == SCHEMA_VERSION # bumped 23→24
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cols = {
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r[0] for r in conn.execute(
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"SELECT column_name FROM information_schema.columns "
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"WHERE table_name = 'table_registry'"
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).fetchall()
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}
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assert "source_query" in cols
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# Existing row preserved, new column NULL
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row = conn.execute(
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"SELECT id, source_query FROM table_registry WHERE id='foo'"
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).fetchone()
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assert row == ("foo", None)
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conn.close()
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