18e5f0b6e8
Phase 0: extend table_registry schema (v1→v2 migration), add source_type/bucket/source_table/query_mode columns. Phase 1: SyncOrchestrator ATTACHes extract.duckdb files into master analytics.duckdb. Keboola extractor uses DuckDB extension with legacy client fallback. BigQuery extractor is remote-only via DuckDB BQ extension (no data download). 62 tests passing.
116 lines
3.7 KiB
Python
116 lines
3.7 KiB
Python
"""BigQuery extractor — produces extract.duckdb with remote views via DuckDB BigQuery extension.
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No data is downloaded. All queries go directly to BigQuery via DuckDB extension ATTACH.
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"""
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import logging
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import os
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import List, Dict, Any
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import duckdb
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logger = logging.getLogger(__name__)
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def _create_meta_table(conn: duckdb.DuckDBPyConnection) -> None:
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"""Create the _meta table required by the extract.duckdb contract."""
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conn.execute("DROP TABLE IF EXISTS _meta")
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conn.execute("""CREATE TABLE _meta (
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table_name VARCHAR NOT NULL,
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description VARCHAR,
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rows BIGINT,
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size_bytes BIGINT,
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extracted_at TIMESTAMP,
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query_mode VARCHAR DEFAULT 'remote'
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)""")
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def init_extract(
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output_dir: str,
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project_id: str,
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table_configs: List[Dict[str, Any]],
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) -> Dict[str, Any]:
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"""Create extract.duckdb with remote views into BigQuery.
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Args:
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output_dir: Path to write extract.duckdb
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project_id: GCP project ID
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table_configs: List of table config dicts from table_registry
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Returns:
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Dict with stats: {tables_registered: int, errors: list}
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"""
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output_path = Path(output_dir)
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output_path.mkdir(parents=True, exist_ok=True)
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db_path = output_path / "extract.duckdb"
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conn = duckdb.connect(str(db_path))
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stats = {"tables_registered": 0, "errors": []}
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now = datetime.now(timezone.utc)
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try:
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# Install and load BigQuery extension
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conn.execute("INSTALL bigquery FROM community; LOAD bigquery;")
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conn.execute(f"ATTACH 'project={project_id}' AS bq (TYPE bigquery, READ_ONLY)")
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logger.info("Attached BigQuery project: %s", project_id)
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_create_meta_table(conn)
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for tc in table_configs:
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table_name = tc["name"]
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dataset = tc.get("bucket", "") # BigQuery dataset
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source_table = tc.get("source_table", table_name)
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try:
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conn.execute(
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f'CREATE OR REPLACE VIEW "{table_name}" AS '
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f'SELECT * FROM bq."{dataset}"."{source_table}"'
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)
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conn.execute(
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"INSERT INTO _meta VALUES (?, ?, 0, 0, ?, 'remote')",
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[table_name, tc.get("description", ""), now],
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)
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stats["tables_registered"] += 1
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logger.info(
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"Registered remote view: %s -> bq.%s.%s",
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table_name, dataset, source_table,
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)
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except Exception as e:
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logger.error("Failed to register %s: %s", table_name, e)
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stats["errors"].append({"table": table_name, "error": str(e)})
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conn.execute("DETACH bq")
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finally:
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conn.close()
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return stats
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if __name__ == "__main__":
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"""Standalone: reads config from instance.yaml + table_registry, creates extract."""
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from config.loader import load_instance_config
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from src.db import get_system_db
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from src.repositories.table_registry import TableRegistryRepository
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config = load_instance_config()
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bq_config = config.get("bigquery", {})
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project_id = bq_config.get("project_id", "")
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sys_conn = get_system_db()
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try:
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repo = TableRegistryRepository(sys_conn)
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tables = repo.list_by_source("bigquery")
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finally:
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sys_conn.close()
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if not tables:
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logger.warning("No BigQuery tables registered in table_registry")
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else:
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data_dir = Path(os.environ.get("DATA_DIR", "./data"))
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result = init_extract(
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str(data_dir / "extracts" / "bigquery"), project_id, tables
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)
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logger.info("BigQuery extract init complete: %s", result)
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