2e1dfb7553
Replaces the BigQuery wrap-view pattern with a discovery + scoped-fetch toolkit driven by the analyst's Claude session. Adds /api/v2/{catalog,schema,sample,scan,scan/estimate}, da catalog/schema/describe/fetch/snapshot/disk-info CLI commands, sqlglot-backed WHERE validator, process-local quota tracker, agent rails skill (cli/skills/agnes-data-querying.md). BREAKING: BQ wrap views off by default — set data_source.bigquery.legacy_wrap_views=true for one cycle. Backward-compat field_validator on primary_key. Catalog cache now matches documented 300s TTL with RBAC fresh per request. Cuts release v0.14.0.
700 lines
27 KiB
Python
700 lines
27 KiB
Python
"""Tests for BigQuery extractor (remote-only via DuckDB extension)."""
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import re
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from pathlib import Path
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from unittest.mock import MagicMock
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import duckdb
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import pytest
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from connectors.bigquery.extractor import _detect_table_type
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from tests.helpers.contract import validate_extract_contract
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@pytest.fixture
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def output_dir(tmp_path):
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d = tmp_path / "extracts" / "bigquery"
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d.mkdir(parents=True)
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return str(d)
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@pytest.fixture
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def sample_configs():
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return [
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{
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"id": "project.analytics.orders",
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"name": "orders",
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"source_type": "bigquery",
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"bucket": "analytics",
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"source_table": "orders",
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"query_mode": "remote",
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"description": "Order data from BQ",
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},
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{
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"id": "project.analytics.sessions",
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"name": "sessions",
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"source_type": "bigquery",
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"bucket": "analytics",
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"source_table": "sessions",
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"query_mode": "remote",
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"description": "Session data",
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},
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]
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class _DuckDBProxy:
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"""Proxy around a real DuckDB connection that intercepts BigQuery extension SQL."""
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def __init__(self, real_conn):
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self._real = real_conn
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def execute(self, sql, *args, **kwargs):
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sql_upper = sql.strip().upper()
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if sql_upper.startswith("INSTALL BIGQUERY") or sql_upper.startswith(
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"LOAD BIGQUERY"
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):
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return MagicMock()
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if sql_upper.startswith("CREATE SECRET"):
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return MagicMock()
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if "ATTACH" in sql_upper and "BIGQUERY" in sql_upper:
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return MagicMock()
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if sql_upper.startswith("DETACH BQ"):
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return MagicMock()
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# CREATE VIEW referencing bq.* -> create a dummy table instead
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if "FROM BQ." in sql_upper and "CREATE" in sql_upper:
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match = re.search(r'VIEW\s+"?(\w+)"?', sql, re.IGNORECASE)
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if match:
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view_name = match.group(1)
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self._real.execute(
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f'CREATE OR REPLACE TABLE "{view_name}" (dummy INTEGER)'
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)
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return MagicMock()
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return self._real.execute(sql, *args, **kwargs)
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def close(self):
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return self._real.close()
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def __getattr__(self, name):
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return getattr(self._real, name)
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class TestBigQueryExtractor:
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def test_creates_extract_duckdb_with_meta(self, output_dir, sample_configs, monkeypatch):
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"""Test that init_extract creates extract.duckdb with _meta and _remote_attach."""
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from unittest.mock import patch
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# Mock metadata-token auth + entity type detection so the test runs offline.
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
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lambda *a, **kw: "BASE TABLE",
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)
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def proxy_connect(path=None, **kwargs):
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real_conn = duckdb.connect(path)
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return _DuckDBProxy(real_conn)
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with patch("connectors.bigquery.extractor.duckdb") as mock_mod:
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mock_mod.connect = proxy_connect
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from connectors.bigquery.extractor import init_extract
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result = init_extract(output_dir, "my-project", sample_configs)
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assert result["tables_registered"] == 2
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assert len(result["errors"]) == 0
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# Verify extract.duckdb has _meta with correct data
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conn = duckdb.connect(str(Path(output_dir) / "extract.duckdb"))
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try:
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meta = conn.execute(
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"SELECT table_name, query_mode FROM _meta ORDER BY table_name"
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).fetchall()
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assert len(meta) == 2
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assert meta[0][0] == "orders"
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assert meta[0][1] == "remote"
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assert meta[1][0] == "sessions"
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assert meta[1][1] == "remote"
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# Verify _remote_attach table for orchestrator re-ATTACH
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ra = conn.execute(
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"SELECT alias, extension, url, token_env FROM _remote_attach"
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).fetchone()
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assert ra[0] == "bq"
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assert ra[1] == "bigquery"
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assert ra[2] == "project=my-project"
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assert ra[3] == "" # BQ handles auth via env automatically
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finally:
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conn.close()
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validate_extract_contract(str(Path(output_dir) / "extract.duckdb"))
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def test_no_data_directory_created(self, output_dir, sample_configs):
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"""BigQuery is remote-only -- no data/ directory should exist."""
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assert not (Path(output_dir) / "data").exists()
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def test_all_tables_are_remote(self, output_dir):
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"""Verify all BigQuery tables get query_mode='remote' in _meta."""
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db_path = Path(output_dir) / "extract.duckdb"
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conn = duckdb.connect(str(db_path))
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conn.execute("""CREATE TABLE _meta (
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table_name VARCHAR, description VARCHAR, rows BIGINT,
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size_bytes BIGINT, extracted_at TIMESTAMP,
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query_mode VARCHAR DEFAULT 'remote'
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)""")
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conn.execute(
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"INSERT INTO _meta VALUES ('t1', '', 0, 0, current_timestamp, 'remote')"
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)
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result = conn.execute("SELECT query_mode FROM _meta").fetchone()
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assert result[0] == "remote"
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conn.close()
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def test_handles_registration_failure(self, output_dir):
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"""A failed table registration records error but does not stop others."""
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db_path = Path(output_dir) / "extract.duckdb"
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conn = duckdb.connect(str(db_path))
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conn.execute("""CREATE TABLE _meta (
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table_name VARCHAR, description VARCHAR, rows BIGINT,
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size_bytes BIGINT, extracted_at TIMESTAMP,
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query_mode VARCHAR DEFAULT 'remote'
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)""")
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from datetime import datetime, timezone
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now = datetime.now(timezone.utc)
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# Simulate: first succeeds, second fails (not inserted)
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conn.execute(
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"INSERT INTO _meta VALUES ('good_table', '', 0, 0, ?, 'remote')", [now]
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)
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meta = conn.execute("SELECT count(*) FROM _meta").fetchone()
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assert meta[0] == 1 # Only good_table registered
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conn.close()
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def test_meta_table_schema(self, output_dir):
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"""Verify _meta table has all required columns per the extract.duckdb contract."""
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from connectors.bigquery.extractor import _create_meta_table
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db_path = Path(output_dir) / "contract_check.duckdb"
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conn = duckdb.connect(str(db_path))
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_create_meta_table(conn)
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columns = conn.execute(
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"SELECT column_name FROM information_schema.columns "
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"WHERE table_name = '_meta' ORDER BY ordinal_position"
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).fetchall()
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col_names = [c[0] for c in columns]
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assert col_names == [
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"table_name",
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"description",
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"rows",
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"size_bytes",
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"extracted_at",
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"query_mode",
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]
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conn.close()
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class TestDetectTableType:
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"""Detect whether a BQ entity is a base table or a view."""
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def test_base_table_returns_table(self):
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conn = MagicMock()
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conn.execute.return_value.fetchone.return_value = ("BASE TABLE",)
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result = _detect_table_type(conn, "proj", "ds", "tbl")
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assert result == "BASE TABLE"
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def test_view_returns_view(self):
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conn = MagicMock()
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conn.execute.return_value.fetchone.return_value = ("VIEW",)
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result = _detect_table_type(conn, "proj", "ds", "tbl")
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assert result == "VIEW"
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def test_missing_returns_none(self):
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conn = MagicMock()
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conn.execute.return_value.fetchone.return_value = None
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result = _detect_table_type(conn, "proj", "ds", "tbl")
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assert result is None
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def test_query_uses_bigquery_query_function(self):
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"""Detection must use bigquery_query() table function (works on views via jobs API)."""
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conn = MagicMock()
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conn.execute.return_value.fetchone.return_value = ("VIEW",)
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_detect_table_type(conn, "my-proj", "my_ds", "my_tbl")
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# SQL must use the bigquery_query() table function (not direct ref)
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sql = conn.execute.call_args[0][0]
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assert "bigquery_query" in sql.lower()
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# The inner BQ SQL is passed as a parameter, not f-stringed in.
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# Verify both project and the BQ SQL appear in the bound params.
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params = conn.execute.call_args[0][1]
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assert "my-proj" in params, f"expected project in params, got: {params}"
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# The inner BQ SQL is one of the params; it should reference INFORMATION_SCHEMA.TABLES
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bq_sql_param = next(
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(p for p in params if isinstance(p, str) and "INFORMATION_SCHEMA.TABLES" in p),
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None,
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)
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assert bq_sql_param is not None, f"inner BQ SQL not found in params: {params}"
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assert "my_ds" in bq_sql_param # dataset is f-stringed into the BQ SQL identifier path
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# Table name should NOT be inline in the BQ SQL — it goes through the param chain
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assert "my_tbl" in params, f"table name should be a separate param, got: {params}"
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class _CapturingProxy:
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"""Wraps a real DuckDB connection, captures all SQL, stubs BQ-specific calls.
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DuckDBPyConnection.execute is a C-level read-only attribute, so we can't
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patch the method directly on the connection — we have to wrap with a proxy.
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"""
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def __init__(self, real_conn, captured: list):
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self._real = real_conn
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self._captured = captured
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def execute(self, sql, *args, **kwargs):
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self._captured.append(sql)
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stripped_u = sql.strip().upper()
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# Stub only commands that would talk to BQ; CREATE TABLE / INSERT etc.
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# must pass through to the real DuckDB so _meta + _remote_attach persist.
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if stripped_u.startswith(("INSTALL ", "LOAD ", "CREATE SECRET")):
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return MagicMock()
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if stripped_u.startswith("ATTACH ") and "BIGQUERY" in stripped_u:
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return MagicMock()
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if stripped_u.startswith("DETACH "):
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return MagicMock()
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if 'FROM bq.' in sql or 'FROM bigquery_query' in sql:
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return MagicMock()
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return self._real.execute(sql, *args, **kwargs)
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def close(self):
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return self._real.close()
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def __getattr__(self, name):
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return getattr(self._real, name)
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class TestViewVsTableTemplates:
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"""init_extract must pick the right view template based on entity type."""
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def test_base_table_uses_direct_attach_ref(self, tmp_path, monkeypatch):
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"""For BASE TABLE, generated DuckDB view references bq.dataset.table directly."""
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from connectors.bigquery.extractor import init_extract
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
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lambda *a, **kw: "BASE TABLE",
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)
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captured = []
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real_connect = duckdb.connect
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def spy_connect(*a, **kw):
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real_conn = real_connect(*a, **kw)
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return _CapturingProxy(real_conn, captured)
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monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", spy_connect)
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init_extract(
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str(tmp_path),
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"my-project",
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[{"name": "orders", "bucket": "my_ds", "source_table": "orders", "description": ""}],
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)
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view_sqls = [s for s in captured if "CREATE OR REPLACE VIEW" in s.upper() or 'CREATE VIEW' in s.upper()]
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assert any('FROM bq."my_ds"."orders"' in s for s in view_sqls), \
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f"expected direct bq.dataset.table ref for BASE TABLE; got: {view_sqls}"
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assert not any("bigquery_query(" in s for s in view_sqls), \
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"BASE TABLE should not use bigquery_query() function"
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def test_view_uses_bigquery_query_function(self, tmp_path, monkeypatch):
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"""For VIEW with legacy_wrap_views=True, generated DuckDB view wraps bigquery_query() (jobs API path)."""
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from connectors.bigquery.extractor import init_extract
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
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lambda *a, **kw: "VIEW",
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)
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captured = []
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real_connect = duckdb.connect
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def spy_connect(*a, **kw):
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real_conn = real_connect(*a, **kw)
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return _CapturingProxy(real_conn, captured)
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monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", spy_connect)
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# Enable legacy toggle so this test verifies the old wrap-view path still works.
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_value",
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lambda *args, default=None, **kw: True if "legacy_wrap_views" in args else default,
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)
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init_extract(
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str(tmp_path),
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"my-project",
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[{"name": "session_view", "bucket": "my_ds", "source_table": "session_view", "description": ""}],
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)
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view_sqls = [s for s in captured if "CREATE OR REPLACE VIEW" in s.upper() or 'CREATE VIEW' in s.upper()]
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view_create = next((s for s in view_sqls if '"session_view"' in s), None)
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assert view_create is not None, f"no CREATE VIEW for session_view; got: {view_sqls}"
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assert "bigquery_query(" in view_create
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assert "my-project" in view_create
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assert "`my-project.my_ds.session_view`" in view_create, \
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f"expected backtick-quoted full path; got: {view_create}"
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class TestRemoteAttachForBQ:
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"""For BQ source, _remote_attach must signal metadata-auth (empty token_env)."""
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def test_remote_attach_token_env_is_empty_for_bq(self, tmp_path, monkeypatch):
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from connectors.bigquery.extractor import init_extract
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
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lambda *a, **kw: "BASE TABLE",
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)
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captured = []
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real_connect = duckdb.connect
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def spy_connect(*a, **kw):
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real_conn = real_connect(*a, **kw)
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return _CapturingProxy(real_conn, captured)
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monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", spy_connect)
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init_extract(
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str(tmp_path),
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"my-project",
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[{"name": "t", "bucket": "ds", "source_table": "t", "description": ""}],
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)
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c = duckdb.connect(str(tmp_path / "extract.duckdb"), read_only=True)
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rows = c.execute(
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"SELECT alias, extension, url, token_env FROM _remote_attach"
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).fetchall()
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c.close()
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assert len(rows) == 1
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alias, extension, url, token_env = rows[0]
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assert alias == "bq"
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assert extension == "bigquery"
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assert url == "project=my-project"
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assert token_env == "", \
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"BQ uses metadata auth — token_env must be empty so orchestrator triggers metadata path"
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class TestInitExtractAuthFailure:
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"""init_extract must abort cleanly if metadata token fetch fails."""
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def test_returns_error_when_metadata_unreachable(self, tmp_path, monkeypatch):
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from connectors.bigquery.extractor import init_extract
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from connectors.bigquery.auth import BQMetadataAuthError
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def boom():
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raise BQMetadataAuthError("metadata server unreachable: simulated")
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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boom,
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)
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result = init_extract(
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str(tmp_path),
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"my-project",
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[{"name": "t", "bucket": "ds", "source_table": "t", "description": ""}],
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)
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# No partial extract.duckdb — auth failure aborts before any DB writes
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assert not (tmp_path / "extract.duckdb").exists(), \
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"extract.duckdb should not be created when auth fails"
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assert result["tables_registered"] == 0
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assert any("metadata" in e.get("error", "").lower() for e in result["errors"])
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class TestIdentifierValidation:
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"""init_extract must reject unsafe identifiers before any SQL construction."""
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def test_rejects_unsafe_dataset_name(self, tmp_path, monkeypatch):
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from connectors.bigquery.extractor import init_extract
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
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lambda *a, **kw: "BASE TABLE",
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)
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# Stub all DuckDB BQ-extension calls so the test stays offline
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captured = []
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real_connect = duckdb.connect
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def safe_connect(*a, **kw):
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return _CapturingProxy(real_connect(*a, **kw), captured)
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monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", safe_connect)
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result = init_extract(
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str(tmp_path),
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"my-project",
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[{
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"name": "t",
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"bucket": 'evil"; DROP TABLE foo; --',
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"source_table": "t",
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"description": "",
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}],
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)
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assert result["tables_registered"] == 0
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assert any("dataset" in e.get("error", "").lower() for e in result["errors"])
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def test_rejects_unsafe_source_table_name(self, tmp_path, monkeypatch):
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from connectors.bigquery.extractor import init_extract
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monkeypatch.setattr(
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"connectors.bigquery.extractor.get_metadata_token",
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lambda: "test-token",
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)
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monkeypatch.setattr(
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"connectors.bigquery.extractor._detect_table_type",
|
|
lambda *a, **kw: "BASE TABLE",
|
|
)
|
|
captured = []
|
|
real_connect = duckdb.connect
|
|
def safe_connect(*a, **kw):
|
|
return _CapturingProxy(real_connect(*a, **kw), captured)
|
|
monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", safe_connect)
|
|
|
|
result = init_extract(
|
|
str(tmp_path),
|
|
"my-project",
|
|
[{
|
|
"name": "t",
|
|
"bucket": "ds",
|
|
"source_table": "evil`name",
|
|
"description": "",
|
|
}],
|
|
)
|
|
assert result["tables_registered"] == 0
|
|
assert any("source_table" in e.get("error", "").lower() for e in result["errors"])
|
|
|
|
|
|
class TestExtractorMainModule:
|
|
"""Standalone `python -m connectors.bigquery.extractor` reads config correctly."""
|
|
|
|
def test_main_reads_data_source_bigquery_project(self, tmp_path, monkeypatch):
|
|
"""__main__ must read project from data_source.bigquery.project (matches yaml example).
|
|
|
|
Runs the production __main__ block via runpy and captures the project_id
|
|
passed to init_extract. If __main__ ever regresses to reading
|
|
config.get("bigquery", {}).get("project_id"), the captured value will
|
|
be empty and the assertion will fail.
|
|
"""
|
|
from unittest.mock import MagicMock
|
|
|
|
captured: dict = {}
|
|
|
|
def fake_init_extract(out, project_id, tables):
|
|
captured["project"] = project_id
|
|
captured["tables"] = tables
|
|
return {"tables_registered": len(tables), "errors": []}
|
|
|
|
# Patch every external dependency the __main__ block touches.
|
|
# Targets are at the module path the __main__ block imports from,
|
|
# because runpy re-executes the module under __name__ == "__main__".
|
|
monkeypatch.setattr(
|
|
"config.loader.load_instance_config",
|
|
lambda: {
|
|
"data_source": {
|
|
"type": "bigquery",
|
|
"bigquery": {"project": "my-test-project", "location": "US"},
|
|
}
|
|
},
|
|
)
|
|
fake_repo = MagicMock()
|
|
fake_repo.list_by_source.return_value = [
|
|
{"name": "t1", "bucket": "ds", "source_table": "t1", "description": ""},
|
|
]
|
|
monkeypatch.setattr(
|
|
"src.repositories.table_registry.TableRegistryRepository",
|
|
lambda c: fake_repo,
|
|
)
|
|
monkeypatch.setattr(
|
|
"src.db.get_system_db",
|
|
lambda: MagicMock(close=lambda: None),
|
|
)
|
|
# __main__ looks up init_extract via the cached connectors.bigquery.extractor
|
|
# module (sys.modules), so patching its attribute survives runpy's reimport.
|
|
monkeypatch.setattr(
|
|
"connectors.bigquery.extractor.init_extract",
|
|
fake_init_extract,
|
|
)
|
|
monkeypatch.setenv("DATA_DIR", str(tmp_path))
|
|
|
|
import runpy
|
|
runpy.run_module("connectors.bigquery.extractor", run_name="__main__")
|
|
|
|
assert captured.get("project") == "my-test-project", \
|
|
f"expected __main__ to pass project='my-test-project' to init_extract; got {captured!r}"
|
|
assert captured.get("tables", [{}])[0].get("name") == "t1"
|
|
|
|
|
|
def test_main_exits_when_project_missing(self, tmp_path, monkeypatch):
|
|
"""__main__ must SystemExit(2) when data_source.bigquery.project is empty/missing."""
|
|
monkeypatch.setattr(
|
|
"config.loader.load_instance_config",
|
|
lambda: {"data_source": {"type": "bigquery"}}, # no .bigquery.project
|
|
)
|
|
monkeypatch.setenv("DATA_DIR", str(tmp_path))
|
|
|
|
import runpy
|
|
with pytest.raises(SystemExit) as exc_info:
|
|
runpy.run_module("connectors.bigquery.extractor", run_name="__main__")
|
|
assert exc_info.value.code == 2
|
|
|
|
|
|
class TestDropWrapViewForBQViews:
|
|
def test_view_entity_does_not_create_master_view_by_default(self, tmp_path, monkeypatch):
|
|
from connectors.bigquery.extractor import init_extract
|
|
monkeypatch.setattr("connectors.bigquery.extractor.get_metadata_token", lambda: "tok")
|
|
monkeypatch.setattr("connectors.bigquery.extractor._detect_table_type", lambda *a, **kw: "VIEW")
|
|
|
|
# Stub BQ extension calls to avoid hitting real BQ
|
|
real_connect = duckdb.connect
|
|
|
|
captured = []
|
|
|
|
def safe_connect(*a, **kw):
|
|
return _CapturingProxy(real_connect(*a, **kw), captured)
|
|
monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", safe_connect)
|
|
|
|
# legacy toggle is OFF by default → expect no CREATE VIEW for the BQ view
|
|
monkeypatch.setattr(
|
|
"connectors.bigquery.extractor.get_value",
|
|
lambda *args, default=None, **kw: False if "legacy_wrap_views" in args else default,
|
|
raising=False,
|
|
)
|
|
|
|
init_extract(
|
|
str(tmp_path),
|
|
"my-project",
|
|
[{"name": "myview", "bucket": "ds", "source_table": "myview", "description": ""}],
|
|
)
|
|
|
|
# Confirm extract.duckdb has _meta + _remote_attach but NO master view for myview
|
|
c = duckdb.connect(str(tmp_path / "extract.duckdb"), read_only=True)
|
|
try:
|
|
views = c.execute(
|
|
"SELECT view_name FROM duckdb_views() WHERE view_name='myview'"
|
|
).fetchall()
|
|
assert views == [], f"expected no wrap view for VIEW entity by default; got {views}"
|
|
meta = c.execute("SELECT table_name FROM _meta").fetchall()
|
|
assert ("myview",) in meta, "_meta must still record the view"
|
|
finally:
|
|
c.close()
|
|
|
|
def test_legacy_wrap_views_toggle_restores_old_behavior(self, tmp_path, monkeypatch):
|
|
from connectors.bigquery.extractor import init_extract
|
|
monkeypatch.setattr("connectors.bigquery.extractor.get_metadata_token", lambda: "tok")
|
|
monkeypatch.setattr("connectors.bigquery.extractor._detect_table_type", lambda *a, **kw: "VIEW")
|
|
|
|
real_connect = duckdb.connect
|
|
captured = []
|
|
|
|
def safe_connect(*a, **kw):
|
|
return _CapturingProxy(real_connect(*a, **kw), captured)
|
|
monkeypatch.setattr("connectors.bigquery.extractor.duckdb.connect", safe_connect)
|
|
|
|
# legacy toggle ON → should still create the wrap view
|
|
monkeypatch.setattr(
|
|
"connectors.bigquery.extractor.get_value",
|
|
lambda *args, default=None, **kw: True if "legacy_wrap_views" in args else default,
|
|
raising=False,
|
|
)
|
|
|
|
init_extract(
|
|
str(tmp_path),
|
|
"my-project",
|
|
[{"name": "myview", "bucket": "ds", "source_table": "myview", "description": ""}],
|
|
)
|
|
|
|
# With legacy ON the wrap view SQL should have been emitted
|
|
view_sqls = [s for s in captured if "CREATE OR REPLACE VIEW" in s.upper()]
|
|
myview_sqls = [s for s in view_sqls if '"myview"' in s]
|
|
assert myview_sqls != [], \
|
|
f"expected wrap view SQL for VIEW entity when legacy_wrap_views=True; captured={captured}"
|
|
assert any("bigquery_query(" in s for s in myview_sqls), \
|
|
f"legacy wrap view should use bigquery_query(); got: {myview_sqls}"
|
|
|
|
|
|
class TestInitExtractProjectIdValidation:
|
|
"""init_extract must reject unsafe project_id before any auth or DB work."""
|
|
|
|
def test_rejects_unsafe_project_id_with_quote(self, tmp_path):
|
|
"""Project IDs containing SQL metacharacters must be rejected before
|
|
any token fetch or DuckDB work."""
|
|
from connectors.bigquery.extractor import init_extract
|
|
|
|
result = init_extract(
|
|
str(tmp_path),
|
|
"evil'; DROP TABLE foo; --",
|
|
[{"name": "t", "bucket": "ds", "source_table": "t", "description": ""}],
|
|
)
|
|
assert result["tables_registered"] == 0
|
|
assert any("project_id" in e.get("error", "").lower() for e in result["errors"]), \
|
|
f"expected error mentioning project_id; got: {result['errors']}"
|
|
# No partial extract.duckdb on rejection
|
|
assert not (tmp_path / "extract.duckdb").exists()
|
|
|
|
def test_rejects_uppercase_project_id(self, tmp_path):
|
|
"""GCP project IDs are lowercase-only."""
|
|
from connectors.bigquery.extractor import init_extract
|
|
|
|
result = init_extract(
|
|
str(tmp_path),
|
|
"MY-PROJECT",
|
|
[{"name": "t", "bucket": "ds", "source_table": "t", "description": ""}],
|
|
)
|
|
assert result["tables_registered"] == 0
|
|
assert any("project_id" in e.get("error", "").lower() for e in result["errors"])
|
|
|
|
def test_valid_project_id_passes_validation(self, tmp_path, monkeypatch):
|
|
"""A well-formed project_id must pass validation. We stub the metadata
|
|
fetch to fail right after, which produces a different error shape — that
|
|
confirms validation didn't reject the project_id itself."""
|
|
from connectors.bigquery.extractor import init_extract
|
|
from connectors.bigquery.auth import BQMetadataAuthError
|
|
|
|
def fail_metadata():
|
|
raise BQMetadataAuthError("simulated — beyond validation")
|
|
monkeypatch.setattr(
|
|
"connectors.bigquery.extractor.get_metadata_token",
|
|
fail_metadata,
|
|
)
|
|
|
|
result = init_extract(
|
|
str(tmp_path),
|
|
"my-valid-project",
|
|
[{"name": "t", "bucket": "ds", "source_table": "t", "description": ""}],
|
|
)
|
|
assert result["tables_registered"] == 0
|
|
errors = result["errors"]
|
|
assert errors, "expected metadata-stub error"
|
|
assert all("project_id" not in e.get("error", "").lower() for e in errors), \
|
|
f"valid project_id should not trip the validator; got: {errors}"
|