Tests cover Keboola extractor (extension + legacy fallback, _remote_attach), BigQuery extractor (remote views, contract validation), Jira service (webhook processing, HMAC verification, HTTP mocking), Jira incremental transform (upsert/delete, monthly parquet partitioning), and LLM providers (factory, AnthropicExtractor retry/auth, OpenAICompatExtractor strategy cascade, JSON extraction helpers). Also adds tests/helpers/factories.py with WebhookEventFactory.
229 lines
9.1 KiB
Python
229 lines
9.1 KiB
Python
"""Full tests for the Keboola extractor connector."""
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from pathlib import Path
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from unittest.mock import patch
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import duckdb
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import pytest
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from tests.conftest import create_mock_extract
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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" / "keboola"
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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 extracts_dir(tmp_path):
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d = tmp_path / "extracts"
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d.mkdir(parents=True)
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return d
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@pytest.fixture
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def sample_local_configs():
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return [
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{
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"id": "in.c-finance.orders",
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"name": "orders",
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"source_type": "keboola",
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"bucket": "in.c-finance",
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"source_table": "orders",
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"query_mode": "local",
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"description": "Finance orders",
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},
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{
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"id": "in.c-finance.customers",
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"name": "customers",
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"source_type": "keboola",
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"bucket": "in.c-finance",
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"source_table": "customers",
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"query_mode": "local",
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"description": "Customer data",
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},
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]
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def _mock_attach(conn, url, token):
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"""Mock extension attach: creates kbc alias so views can be created."""
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conn.execute("ATTACH ':memory:' AS kbc")
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return True
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def _write_parquet(pq_path, data_sql="SELECT 1 AS id, 'test' AS name"):
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local_conn = duckdb.connect()
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local_conn.execute(f"COPY ({data_sql}) TO '{pq_path}' (FORMAT PARQUET)")
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local_conn.close()
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class TestKeboolaExtractorFull:
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def test_run_with_extension_creates_contract_compliant_db(self, output_dir, sample_local_configs):
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"""run() with extension produces extract.duckdb that passes contract validation."""
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from connectors.keboola.extractor import run
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def write_pq(conn, tc, pq_path):
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_write_parquet(pq_path, "SELECT 1 AS id, 'Alice' AS name")
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=_mock_attach), \
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patch("connectors.keboola.extractor._extract_via_extension", side_effect=write_pq):
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result = run(output_dir, sample_local_configs, "https://kbc.example.com", "token-abc")
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assert result["tables_extracted"] == 2
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assert result["tables_failed"] == 0
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assert result["errors"] == []
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db_path = str(Path(output_dir) / "extract.duckdb")
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validate_extract_contract(db_path)
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def test_run_fallback_to_legacy_client(self, output_dir):
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"""When DuckDB extension unavailable, falls back to legacy client."""
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from connectors.keboola.extractor import run
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configs = [{"name": "t", "id": "in.c-test.t", "query_mode": "local", "description": ""}]
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def mock_legacy(tc, pq_path, url, token):
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_write_parquet(pq_path, "SELECT 99 AS value")
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with patch("connectors.keboola.extractor._try_attach_extension", return_value=False), \
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patch("connectors.keboola.extractor._extract_via_legacy", side_effect=mock_legacy):
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result = run(output_dir, configs, "https://kbc.example.com", "token-abc")
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assert result["tables_extracted"] == 1
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assert result["tables_failed"] == 0
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# Verify data is actually readable (parquet stores integers as int, not str)
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conn = duckdb.connect(str(Path(output_dir) / "extract.duckdb"), read_only=True)
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row = conn.execute("SELECT value FROM t").fetchone()
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conn.close()
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assert row[0] == 99
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def test_meta_table_schema_correct(self, output_dir):
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"""_meta table must have exactly the required columns in the right order."""
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from connectors.keboola.extractor import run
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configs = [{"name": "t", "query_mode": "local", "description": "desc"}]
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def write_pq(conn, tc, pq_path):
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_write_parquet(pq_path, "SELECT 1 AS x")
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=_mock_attach), \
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patch("connectors.keboola.extractor._extract_via_extension", side_effect=write_pq):
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run(output_dir, configs, "https://kbc.example.com", "token-abc")
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conn = duckdb.connect(str(Path(output_dir) / "extract.duckdb"), read_only=True)
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cols = 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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conn.close()
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assert [c[0] for c in cols] == [
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"table_name", "description", "rows", "size_bytes", "extracted_at", "query_mode"
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]
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def test_remote_attach_table_created_for_remote_tables(self, output_dir):
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"""_remote_attach table is created when any table has query_mode='remote'."""
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from connectors.keboola.extractor import run
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def mock_attach_with_schema(conn, url, token):
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conn.execute("ATTACH ':memory:' AS kbc")
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conn.execute('CREATE SCHEMA kbc."in.c-events"')
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conn.execute('CREATE TABLE kbc."in.c-events"."big_table" (id VARCHAR)')
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return True
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configs = [{
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"name": "big_table",
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"bucket": "in.c-events",
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"source_table": "big_table",
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"query_mode": "remote",
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"description": "Large remote table",
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}]
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=mock_attach_with_schema):
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result = run(output_dir, configs, "https://kbc.example.com", "token-abc")
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assert result["tables_extracted"] == 1
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conn = duckdb.connect(str(Path(output_dir) / "extract.duckdb"), read_only=True)
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ra = conn.execute("SELECT alias, extension, url, token_env FROM _remote_attach").fetchone()
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conn.close()
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assert ra[0] == "kbc"
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assert ra[1] == "keboola"
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assert ra[2] == "https://kbc.example.com"
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assert ra[3] == "KEBOOLA_STORAGE_TOKEN"
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def test_remote_tables_not_downloaded(self, output_dir):
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"""Remote tables have no parquet file — they are views pointing to kbc."""
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from connectors.keboola.extractor import run
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def mock_attach_with_schema(conn, url, token):
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conn.execute("ATTACH ':memory:' AS kbc")
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conn.execute('CREATE SCHEMA kbc."in.c-big"')
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conn.execute('CREATE TABLE kbc."in.c-big"."events" (id VARCHAR)')
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return True
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configs = [{
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"name": "events",
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"bucket": "in.c-big",
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"source_table": "events",
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"query_mode": "remote",
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"description": "",
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}]
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=mock_attach_with_schema):
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run(output_dir, configs, "https://kbc.example.com", "token-abc")
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# No parquet file for remote table
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assert not (Path(output_dir) / "data" / "events.parquet").exists()
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# _meta has remote query_mode
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conn = duckdb.connect(str(Path(output_dir) / "extract.duckdb"), read_only=True)
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row = conn.execute("SELECT query_mode FROM _meta WHERE table_name='events'").fetchone()
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conn.close()
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assert row[0] == "remote"
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def test_partial_failure_continues(self, output_dir, sample_local_configs):
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"""A single table failure should not abort remaining tables."""
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from connectors.keboola.extractor import run
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call_count = [0]
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def failing_first(conn, tc, pq_path):
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call_count[0] += 1
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if call_count[0] == 1:
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raise RuntimeError("Connection reset")
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_write_parquet(pq_path, "SELECT 1 AS id")
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=_mock_attach), \
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patch("connectors.keboola.extractor._extract_via_extension", side_effect=failing_first):
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result = run(output_dir, sample_local_configs, "https://kbc.example.com", "token-abc")
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assert result["tables_extracted"] == 1
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assert result["tables_failed"] == 1
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assert len(result["errors"]) == 1
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assert "Connection reset" in result["errors"][0]["error"]
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def test_create_mock_extract_contract(self, extracts_dir):
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"""create_mock_extract helper produces contract-compliant extract.duckdb."""
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db_path = create_mock_extract(extracts_dir, "keboola", [
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{"name": "orders", "data": [{"id": "1", "amount": "100"}], "query_mode": "local"},
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])
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validate_extract_contract(str(db_path))
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def test_data_directory_created(self, output_dir, sample_local_configs):
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"""data/ subdirectory is created alongside extract.duckdb."""
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from connectors.keboola.extractor import run
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def write_pq(conn, tc, pq_path):
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_write_parquet(pq_path, "SELECT 1 AS id")
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with patch("connectors.keboola.extractor._try_attach_extension", side_effect=_mock_attach), \
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patch("connectors.keboola.extractor._extract_via_extension", side_effect=write_pq):
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run(output_dir, sample_local_configs, "https://kbc.example.com", "token-abc")
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assert (Path(output_dir) / "data").is_dir()
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assert (Path(output_dir) / "data" / "orders.parquet").exists()
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assert (Path(output_dir) / "data" / "customers.parquet").exists()
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