fix: Fix imports and database bugs. Removed legacy ETL code.
This commit is contained in:
Eric Gullickson
322
data/vehicle-etl/export_database.py
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322
data/vehicle-etl/export_database.py
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#!/usr/bin/env python3
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"""
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Export PostgreSQL database to SQL files.
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Extracts current state from running mvp-postgres container and generates
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SQL import files compatible with the GitLab CI/CD pipeline.
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Usage:
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python3 export_from_postgres.py
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python3 export_from_postgres.py --output-dir custom/path
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Output files:
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- output/01_engines.sql
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- output/02_transmissions.sql
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- output/03_vehicle_options.sql
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"""
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import argparse
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import csv
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import io
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import subprocess
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import sys
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from pathlib import Path
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from typing import Dict, Iterable, List, Sequence
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BATCH_SIZE = 1000
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def check_python_version():
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"""Ensure Python 3.7+ is being used."""
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if sys.version_info < (3, 7):
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raise RuntimeError(
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f"Python 3.7 or higher required. Current version: {sys.version_info.major}.{sys.version_info.minor}"
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)
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def check_container_running():
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"""Verify mvp-postgres container is running."""
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try:
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result = subprocess.run(
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["docker", "ps", "--filter", "name=mvp-postgres", "--format", "{{.Names}}"],
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capture_output=True,
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text=True,
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check=True,
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)
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if "mvp-postgres" not in result.stdout:
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raise RuntimeError(
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"mvp-postgres container is not running.\n"
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"Start with: docker compose up -d mvp-postgres"
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)
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except subprocess.CalledProcessError as e:
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raise RuntimeError(f"Failed to check Docker containers: {e}")
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def sql_value(value):
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"""
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Convert a Python value to its SQL representation.
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- None -> NULL
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- str -> 'escaped string' (single quotes doubled)
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- int/other -> str(value)
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"""
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if value is None:
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return "NULL"
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if isinstance(value, str):
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return "'" + value.replace("'", "''") + "'"
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return str(value)
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def chunked(seq: Iterable[Dict], size: int) -> Iterable[List[Dict]]:
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"""
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Yield successive chunks of `size` from sequence.
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Used to batch INSERT statements for better performance.
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"""
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chunk: List[Dict] = []
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for item in seq:
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chunk.append(item)
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if len(chunk) >= size:
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yield chunk
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chunk = []
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if chunk:
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yield chunk
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def write_insert_file(
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path: Path,
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table: str,
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columns: Sequence[str],
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rows: Sequence[Dict],
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):
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"""
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Write batched INSERT statements to a SQL file.
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Args:
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path: Output file path
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table: Table name
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columns: Column names to insert
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rows: List of row dictionaries
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"""
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path.parent.mkdir(parents=True, exist_ok=True)
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with path.open("w", encoding="utf-8") as f:
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f.write(f"-- Auto-generated by export_from_postgres.py\n")
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if not rows:
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f.write(f"-- No rows for {table}\n")
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return
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for batch in chunked(rows, BATCH_SIZE):
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values_sql = ",\n".join(
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"(" + ",".join(sql_value(row[col]) for col in columns) + ")"
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for row in batch
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)
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f.write(f"INSERT INTO {table} ({', '.join(columns)}) VALUES\n{values_sql};\n\n")
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def execute_psql_copy(query: str) -> str:
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"""
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Execute a PostgreSQL COPY command via docker exec.
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Args:
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query: SQL COPY query to execute
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Returns:
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CSV output as string
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Raises:
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RuntimeError: If command fails
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"""
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try:
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result = subprocess.run(
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[
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"docker",
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"exec",
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"mvp-postgres",
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"psql",
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"-U",
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"postgres",
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"-d",
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"motovaultpro",
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"-c",
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query,
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],
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capture_output=True,
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text=True,
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check=True,
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)
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return result.stdout
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except subprocess.CalledProcessError as e:
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error_msg = e.stderr if e.stderr else str(e)
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raise RuntimeError(f"PostgreSQL query failed: {error_msg}")
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def export_engines(output_dir: Path) -> int:
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"""
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Export engines table to 01_engines.sql.
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Returns:
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Number of records exported
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"""
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query = "COPY (SELECT id, name, fuel_type FROM engines ORDER BY id) TO STDOUT WITH CSV HEADER"
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csv_output = execute_psql_copy(query)
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rows = []
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try:
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reader = csv.DictReader(io.StringIO(csv_output))
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for row in reader:
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rows.append({
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"id": int(row["id"]),
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"name": row["name"],
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"fuel_type": row["fuel_type"] if row["fuel_type"] else None,
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})
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except (csv.Error, KeyError, ValueError) as e:
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raise RuntimeError(f"Failed to parse engines CSV output: {e}")
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write_insert_file(
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output_dir / "01_engines.sql",
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"engines",
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["id", "name", "fuel_type"],
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rows,
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)
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return len(rows)
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def export_transmissions(output_dir: Path) -> int:
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"""
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Export transmissions table to 02_transmissions.sql.
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Returns:
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Number of records exported
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"""
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query = "COPY (SELECT id, type FROM transmissions ORDER BY id) TO STDOUT WITH CSV HEADER"
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csv_output = execute_psql_copy(query)
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rows = []
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try:
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reader = csv.DictReader(io.StringIO(csv_output))
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for row in reader:
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rows.append({
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"id": int(row["id"]),
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"type": row["type"],
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})
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except (csv.Error, KeyError, ValueError) as e:
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raise RuntimeError(f"Failed to parse transmissions CSV output: {e}")
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write_insert_file(
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output_dir / "02_transmissions.sql",
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"transmissions",
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["id", "type"],
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rows,
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)
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return len(rows)
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def export_vehicle_options(output_dir: Path) -> tuple:
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"""
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Export vehicle_options table to 03_vehicle_options.sql.
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Returns:
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Tuple of (record_count, min_year, max_year)
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"""
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query = """COPY (
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SELECT year, make, model, trim, engine_id, transmission_id
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FROM vehicle_options
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ORDER BY year, make, model, trim
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) TO STDOUT WITH CSV HEADER"""
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csv_output = execute_psql_copy(query)
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rows = []
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years = []
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try:
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reader = csv.DictReader(io.StringIO(csv_output))
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for row in reader:
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year = int(row["year"])
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years.append(year)
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rows.append({
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"year": year,
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"make": row["make"],
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"model": row["model"],
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"trim": row["trim"],
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"engine_id": int(row["engine_id"]) if row["engine_id"] else None,
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"transmission_id": int(row["transmission_id"]) if row["transmission_id"] else None,
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})
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except (csv.Error, KeyError, ValueError) as e:
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raise RuntimeError(f"Failed to parse vehicle_options CSV output: {e}")
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write_insert_file(
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output_dir / "03_vehicle_options.sql",
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"vehicle_options",
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["year", "make", "model", "trim", "engine_id", "transmission_id"],
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rows,
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)
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min_year = min(years) if years else None
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max_year = max(years) if years else None
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return len(rows), min_year, max_year
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def parse_args() -> argparse.Namespace:
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"""Parse command-line arguments."""
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parser = argparse.ArgumentParser(
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description="Export PostgreSQL vehicle catalog to SQL files.",
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)
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parser.add_argument(
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"--output-dir",
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type=Path,
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default=Path("output"),
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help="Directory to write SQL output files (default: output)",
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)
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return parser.parse_args()
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def main():
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"""Main export workflow."""
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check_python_version()
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args = parse_args()
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output_dir: Path = args.output_dir
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print("Exporting from PostgreSQL database...")
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print()
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# Verify container is running
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try:
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check_container_running()
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except RuntimeError as e:
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print(f"Error: {e}", file=sys.stderr)
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sys.exit(1)
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# Export each table
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try:
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engines_count = export_engines(output_dir)
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print(f" Engines: {engines_count:,} records")
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trans_count = export_transmissions(output_dir)
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print(f" Transmissions: {trans_count:,} records")
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vehicles_count, min_year, max_year = export_vehicle_options(output_dir)
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print(f" Vehicle options: {vehicles_count:,} records")
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print()
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except RuntimeError as e:
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print(f"Error during export: {e}", file=sys.stderr)
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sys.exit(1)
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# Print summary
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print("SQL files generated:")
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for sql_file in sorted(output_dir.glob("*.sql")):
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size_kb = sql_file.stat().st_size / 1024
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print(f" - {sql_file} ({size_kb:.0f}KB)")
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print()
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if min_year and max_year:
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print(f"Year coverage: {min_year}-{max_year}")
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print()
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print("Export complete! Commit these files to deploy:")
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print(f" git add {output_dir}/*.sql")
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print(f" git commit -m \"Update vehicle catalog from PostgreSQL export ({min_year}-{max_year})\"")
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if __name__ == "__main__":
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main()
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