grabowski
6c7c128b4d
- **Migration to uv package manager**: Replace pip/requirements with modern pyproject.toml - Add pyproject.toml with complete dependency management - Update all scripts and Makefile to use uv commands - Maintain backward compatibility with existing workflows - **PostgreSQL integration and migration tools**: - Enhanced config.py with automatic password URL encoding - Complete PostgreSQL setup scripts and documentation - High-performance SQLite to PostgreSQL migration tool (91x speed improvement) - Support for both connection strings and individual components - **Executable distribution system**: - PyInstaller integration for standalone .exe creation - Automated build scripts with batch file generation - Complete packaging system for end-user distribution - **Enhanced data management**: - Fix --fill-gaps command with proper method implementation - Add gap detection and historical data backfill capabilities - Implement data update functionality for existing records - Add comprehensive database adapter methods - **Developer experience improvements**: - Password encoding tools for special characters - Interactive setup wizards for PostgreSQL configuration - Comprehensive documentation and migration guides - Automated testing and validation tools 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
619 lines
26 KiB
Python
619 lines
26 KiB
Python
#!/usr/bin/env python3
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"""
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SQLite to PostgreSQL Migration Tool
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Migrates all data from SQLite database to PostgreSQL
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"""
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import os
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import sys
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import logging
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import sqlite3
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from datetime import datetime, timezone
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from typing import Dict, List, Optional, Tuple, Any
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from dataclasses import dataclass
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# Add src to path for imports
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
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@dataclass
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class MigrationStats:
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stations_migrated: int = 0
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measurements_migrated: int = 0
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errors: List[str] = None
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start_time: Optional[datetime] = None
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end_time: Optional[datetime] = None
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def __post_init__(self):
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if self.errors is None:
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self.errors = []
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class SQLiteToPostgresMigrator:
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def __init__(self, sqlite_path: str, postgres_config: Dict[str, Any]):
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self.sqlite_path = sqlite_path
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self.postgres_config = postgres_config
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self.sqlite_conn = None
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self.postgres_adapter = None
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self.stats = MigrationStats()
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# Setup logging with UTF-8 encoding
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.StreamHandler(),
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logging.FileHandler('migration.log', encoding='utf-8')
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]
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)
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self.logger = logging.getLogger(__name__)
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def connect_databases(self) -> bool:
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"""Connect to both SQLite and PostgreSQL databases"""
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try:
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# Connect to SQLite
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if not os.path.exists(self.sqlite_path):
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self.logger.error(f"SQLite database not found: {self.sqlite_path}")
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return False
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self.sqlite_conn = sqlite3.connect(self.sqlite_path)
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self.sqlite_conn.row_factory = sqlite3.Row # For dict-like access
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self.logger.info(f"Connected to SQLite database: {self.sqlite_path}")
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# Connect to PostgreSQL
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from database_adapters import create_database_adapter
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self.postgres_adapter = create_database_adapter(
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self.postgres_config['type'],
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connection_string=self.postgres_config['connection_string']
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)
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if not self.postgres_adapter.connect():
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self.logger.error("Failed to connect to PostgreSQL")
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return False
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self.logger.info("Connected to PostgreSQL database")
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return True
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except Exception as e:
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self.logger.error(f"Database connection error: {e}")
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return False
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def analyze_sqlite_schema(self) -> Dict[str, List[str]]:
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"""Analyze SQLite database structure"""
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try:
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cursor = self.sqlite_conn.cursor()
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# Get all tables
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'")
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tables = [row[0] for row in cursor.fetchall()]
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schema_info = {}
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for table in tables:
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cursor.execute(f"PRAGMA table_info({table})")
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columns = [row[1] for row in cursor.fetchall()]
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schema_info[table] = columns
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# Get row count
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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count = cursor.fetchone()[0]
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self.logger.info(f"Table '{table}': {len(columns)} columns, {count} rows")
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return schema_info
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except Exception as e:
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self.logger.error(f"Schema analysis error: {e}")
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return {}
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def migrate_stations(self) -> bool:
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"""Migrate station data"""
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try:
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cursor = self.sqlite_conn.cursor()
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# Try different possible table names and structures
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station_queries = [
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# Modern structure
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"""SELECT id, station_code, station_name_th as thai_name, station_name_en as english_name,
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latitude, longitude, geohash, created_at, updated_at
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FROM stations""",
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# Alternative structure 1
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"""SELECT id, station_code, thai_name, english_name,
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latitude, longitude, geohash, created_at, updated_at
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FROM stations""",
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# Legacy structure
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"""SELECT station_id as id, station_code, station_name as thai_name,
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station_name as english_name, lat as latitude, lon as longitude,
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NULL as geohash, datetime('now') as created_at, datetime('now') as updated_at
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FROM water_stations""",
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# Simple structure
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"""SELECT rowid as id, station_code, name as thai_name, name as english_name,
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NULL as latitude, NULL as longitude, NULL as geohash,
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datetime('now') as created_at, datetime('now') as updated_at
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FROM stations""",
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]
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stations_data = []
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for query in station_queries:
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try:
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cursor.execute(query)
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rows = cursor.fetchall()
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if rows:
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self.logger.info(f"Found {len(rows)} stations using query variant")
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for row in rows:
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station = {
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'station_id': row[0],
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'station_code': row[1] or f"STATION_{row[0]}",
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'station_name_th': row[2] or f"Station {row[0]}",
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'station_name_en': row[3] or f"Station {row[0]}",
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'latitude': row[4],
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'longitude': row[5],
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'geohash': row[6],
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'status': 'active'
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}
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stations_data.append(station)
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break
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except sqlite3.OperationalError as e:
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if "no such table" in str(e).lower() or "no such column" in str(e).lower():
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continue
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else:
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raise
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if not stations_data:
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self.logger.warning("No stations found in SQLite database")
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return True
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# Insert stations into PostgreSQL using raw SQL
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# Since the adapter is designed for measurements, we'll use direct SQL
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try:
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from sqlalchemy import create_engine, text
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engine = create_engine(self.postgres_config['connection_string'])
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# Process stations individually to avoid transaction rollback issues
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for station in stations_data:
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try:
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with engine.begin() as conn:
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# Use PostgreSQL UPSERT syntax with correct column names
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station_sql = """
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INSERT INTO stations (id, station_code, thai_name, english_name, latitude, longitude, geohash)
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VALUES (:station_id, :station_code, :thai_name, :english_name, :latitude, :longitude, :geohash)
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ON CONFLICT (id) DO UPDATE SET
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thai_name = EXCLUDED.thai_name,
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english_name = EXCLUDED.english_name,
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latitude = EXCLUDED.latitude,
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longitude = EXCLUDED.longitude,
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geohash = EXCLUDED.geohash,
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updated_at = CURRENT_TIMESTAMP
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"""
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conn.execute(text(station_sql), {
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'station_id': station['station_id'],
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'station_code': station['station_code'],
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'thai_name': station['station_name_th'],
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'english_name': station['station_name_en'],
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'latitude': station.get('latitude'),
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'longitude': station.get('longitude'),
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'geohash': station.get('geohash')
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})
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self.stats.stations_migrated += 1
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except Exception as e:
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error_msg = f"Error migrating station {station.get('station_code', 'unknown')}: {str(e)[:100]}..."
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self.logger.warning(error_msg)
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self.stats.errors.append(error_msg)
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self.logger.info(f"Migrated {self.stats.stations_migrated} stations")
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except Exception as e:
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self.logger.error(f"Station migration failed: {e}")
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return False
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self.logger.info(f"Migrated {self.stats.stations_migrated} stations")
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return True
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except Exception as e:
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self.logger.error(f"Station migration error: {e}")
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return False
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def migrate_measurements(self, batch_size: int = 5000) -> bool:
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"""Migrate measurement data in batches"""
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try:
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cursor = self.sqlite_conn.cursor()
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# Try different possible measurement table structures
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measurement_queries = [
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# Modern structure
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"""SELECT w.timestamp, w.station_id, s.station_code, s.station_name_th, s.station_name_en,
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w.water_level, w.discharge, w.discharge_percent, w.status
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FROM water_measurements w
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JOIN stations s ON w.station_id = s.id
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ORDER BY w.timestamp""",
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# Alternative with different join
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"""SELECT w.timestamp, w.station_id, s.station_code, s.thai_name, s.english_name,
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w.water_level, w.discharge, w.discharge_percent, 'active' as status
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FROM water_measurements w
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JOIN stations s ON w.station_id = s.id
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ORDER BY w.timestamp""",
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# Legacy structure
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"""SELECT timestamp, station_id, station_code, station_name, station_name,
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water_level, discharge, discharge_percent, 'active' as status
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FROM measurements
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ORDER BY timestamp""",
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# Simple structure without joins
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"""SELECT timestamp, station_id, 'UNKNOWN' as station_code, 'Unknown' as station_name_th, 'Unknown' as station_name_en,
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water_level, discharge, discharge_percent, 'active' as status
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FROM water_measurements
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ORDER BY timestamp""",
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]
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measurements_processed = 0
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for query in measurement_queries:
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try:
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# Get total count first
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count_query = query.replace("SELECT", "SELECT COUNT(*) FROM (SELECT").replace("ORDER BY w.timestamp", "") + ")"
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cursor.execute(count_query)
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total_measurements = cursor.fetchone()[0]
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if total_measurements == 0:
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continue
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self.logger.info(f"Found {total_measurements} measurements to migrate")
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# Process in batches
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offset = 0
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while True:
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batch_query = f"{query} LIMIT {batch_size} OFFSET {offset}"
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cursor.execute(batch_query)
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rows = cursor.fetchall()
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if not rows:
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break
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# Convert to measurement format
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measurements = []
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for row in rows:
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try:
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# Parse timestamp
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timestamp_str = row[0]
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if isinstance(timestamp_str, str):
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try:
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timestamp = datetime.fromisoformat(timestamp_str.replace('Z', '+00:00'))
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except:
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# Try other common formats
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for fmt in ['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%dT%H:%M:%S']:
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try:
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timestamp = datetime.strptime(timestamp_str, fmt)
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break
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except:
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continue
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else:
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timestamp = datetime.now()
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else:
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timestamp = timestamp_str
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measurement = {
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'timestamp': timestamp,
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'station_id': row[1] or 999,
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'station_code': row[2] or 'UNKNOWN',
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'station_name_th': row[3] or 'Unknown',
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'station_name_en': row[4] or 'Unknown',
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'water_level': float(row[5]) if row[5] is not None else None,
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'discharge': float(row[6]) if row[6] is not None else None,
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'discharge_percent': float(row[7]) if row[7] is not None else None,
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'status': row[8] or 'active'
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}
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measurements.append(measurement)
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except Exception as e:
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error_msg = f"Error processing measurement row: {e}"
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self.logger.warning(error_msg)
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continue
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# Save batch to PostgreSQL using fast bulk insert
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if measurements:
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try:
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self._fast_bulk_insert(measurements)
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measurements_processed += len(measurements)
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self.stats.measurements_migrated += len(measurements)
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self.logger.info(f"Migrated {measurements_processed}/{total_measurements} measurements")
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except Exception as e:
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error_msg = f"Error saving measurement batch: {e}"
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self.logger.error(error_msg)
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self.stats.errors.append(error_msg)
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offset += batch_size
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# If we processed measurements, we're done
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if measurements_processed > 0:
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break
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except sqlite3.OperationalError as e:
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if "no such table" in str(e).lower() or "no such column" in str(e).lower():
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continue
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else:
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raise
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if measurements_processed == 0:
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self.logger.warning("No measurements found in SQLite database")
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else:
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self.logger.info(f"Successfully migrated {measurements_processed} measurements")
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return True
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except Exception as e:
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self.logger.error(f"Measurement migration error: {e}")
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return False
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def _fast_bulk_insert(self, measurements: List[Dict]) -> bool:
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"""Super fast bulk insert using PostgreSQL COPY or VALUES clause"""
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try:
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import psycopg2
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from urllib.parse import urlparse
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import io
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# Parse connection string for direct psycopg2 connection
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parsed = urlparse(self.postgres_config['connection_string'])
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# Try super fast COPY method first
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try:
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conn = psycopg2.connect(
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host=parsed.hostname,
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port=parsed.port or 5432,
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database=parsed.path[1:],
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user=parsed.username,
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password=parsed.password
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)
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with conn:
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with conn.cursor() as cur:
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# Prepare data for COPY
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data_buffer = io.StringIO()
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null_val = '\\N'
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for m in measurements:
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data_buffer.write(f"{m['timestamp']}\t{m['station_id']}\t{m['water_level'] or null_val}\t{m['discharge'] or null_val}\t{m['discharge_percent'] or null_val}\t{m['status']}\n")
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data_buffer.seek(0)
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# Use COPY for maximum speed
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cur.copy_from(
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data_buffer,
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'water_measurements',
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columns=('timestamp', 'station_id', 'water_level', 'discharge', 'discharge_percent', 'status'),
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sep='\t'
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)
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conn.close()
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return True
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except Exception as copy_error:
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# Fallback to SQLAlchemy bulk insert
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self.logger.debug(f"COPY failed, using bulk VALUES: {copy_error}")
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from sqlalchemy import create_engine, text
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engine = create_engine(self.postgres_config['connection_string'])
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with engine.begin() as conn:
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# Use PostgreSQL's fast bulk insert with ON CONFLICT
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values_list = []
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for m in measurements:
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timestamp = m['timestamp'].isoformat() if hasattr(m['timestamp'], 'isoformat') else str(m['timestamp'])
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values_list.append(
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f"('{timestamp}', {m['station_id']}, {m['water_level'] or 'NULL'}, "
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f"{m['discharge'] or 'NULL'}, {m['discharge_percent'] or 'NULL'}, '{m['status']}')"
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)
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# Build bulk insert query with ON CONFLICT handling
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bulk_sql = f"""
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INSERT INTO water_measurements (timestamp, station_id, water_level, discharge, discharge_percent, status)
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VALUES {','.join(values_list)}
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ON CONFLICT (timestamp, station_id) DO UPDATE SET
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water_level = EXCLUDED.water_level,
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discharge = EXCLUDED.discharge,
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discharge_percent = EXCLUDED.discharge_percent,
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status = EXCLUDED.status
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"""
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conn.execute(text(bulk_sql))
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return True
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except Exception as e:
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self.logger.warning(f"Fast bulk insert failed: {e}")
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# Final fallback to original method
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try:
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success = self.postgres_adapter.save_measurements(measurements)
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return success
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except Exception as fallback_e:
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self.logger.error(f"All insert methods failed: {fallback_e}")
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return False
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|
|
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def verify_migration(self) -> bool:
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"""Verify the migration by comparing counts"""
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try:
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# Get SQLite counts
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cursor = self.sqlite_conn.cursor()
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sqlite_stations = 0
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sqlite_measurements = 0
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# Try to get station count
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for table in ['stations', 'water_stations']:
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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sqlite_stations = cursor.fetchone()[0]
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break
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except:
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continue
|
|
|
|
# Try to get measurement count
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for table in ['water_measurements', 'measurements']:
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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sqlite_measurements = cursor.fetchone()[0]
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break
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except:
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continue
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|
|
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# Get PostgreSQL counts
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postgres_measurements = self.postgres_adapter.get_latest_measurements(limit=999999)
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postgres_count = len(postgres_measurements)
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self.logger.info("Migration Verification:")
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self.logger.info(f"SQLite stations: {sqlite_stations}")
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self.logger.info(f"SQLite measurements: {sqlite_measurements}")
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self.logger.info(f"PostgreSQL measurements retrieved: {postgres_count}")
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self.logger.info(f"Migrated stations: {self.stats.stations_migrated}")
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self.logger.info(f"Migrated measurements: {self.stats.measurements_migrated}")
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return True
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except Exception as e:
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self.logger.error(f"Verification error: {e}")
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return False
|
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|
|
def run_migration(self, sqlite_path: str = None) -> bool:
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"""Run the complete migration process"""
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self.stats.start_time = datetime.now()
|
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if sqlite_path:
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self.sqlite_path = sqlite_path
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|
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self.logger.info("=" * 60)
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self.logger.info("SQLite to PostgreSQL Migration Tool")
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self.logger.info("=" * 60)
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self.logger.info(f"SQLite database: {self.sqlite_path}")
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self.logger.info(f"PostgreSQL: {self.postgres_config['type']}")
|
|
|
|
try:
|
|
# Step 1: Connect to databases
|
|
self.logger.info("Step 1: Connecting to databases...")
|
|
if not self.connect_databases():
|
|
return False
|
|
|
|
# Step 2: Analyze SQLite schema
|
|
self.logger.info("Step 2: Analyzing SQLite database structure...")
|
|
schema_info = self.analyze_sqlite_schema()
|
|
if not schema_info:
|
|
self.logger.error("Could not analyze SQLite database structure")
|
|
return False
|
|
|
|
# Step 3: Migrate stations
|
|
self.logger.info("Step 3: Migrating station data...")
|
|
if not self.migrate_stations():
|
|
self.logger.error("Station migration failed")
|
|
return False
|
|
|
|
# Step 4: Migrate measurements
|
|
self.logger.info("Step 4: Migrating measurement data...")
|
|
if not self.migrate_measurements():
|
|
self.logger.error("Measurement migration failed")
|
|
return False
|
|
|
|
# Step 5: Verify migration
|
|
self.logger.info("Step 5: Verifying migration...")
|
|
self.verify_migration()
|
|
|
|
self.stats.end_time = datetime.now()
|
|
duration = self.stats.end_time - self.stats.start_time
|
|
|
|
# Final report
|
|
self.logger.info("=" * 60)
|
|
self.logger.info("MIGRATION COMPLETED")
|
|
self.logger.info("=" * 60)
|
|
self.logger.info(f"Duration: {duration}")
|
|
self.logger.info(f"Stations migrated: {self.stats.stations_migrated}")
|
|
self.logger.info(f"Measurements migrated: {self.stats.measurements_migrated}")
|
|
|
|
if self.stats.errors:
|
|
self.logger.warning(f"Errors encountered: {len(self.stats.errors)}")
|
|
for error in self.stats.errors[:10]: # Show first 10 errors
|
|
self.logger.warning(f" - {error}")
|
|
if len(self.stats.errors) > 10:
|
|
self.logger.warning(f" ... and {len(self.stats.errors) - 10} more errors")
|
|
else:
|
|
self.logger.info("No errors encountered")
|
|
|
|
return True
|
|
|
|
except Exception as e:
|
|
self.logger.error(f"Migration failed: {e}")
|
|
return False
|
|
|
|
finally:
|
|
# Cleanup
|
|
if self.sqlite_conn:
|
|
self.sqlite_conn.close()
|
|
|
|
def main():
|
|
"""Main entry point"""
|
|
import argparse
|
|
|
|
parser = argparse.ArgumentParser(description="Migrate SQLite data to PostgreSQL")
|
|
parser.add_argument("sqlite_path", nargs="?", help="Path to SQLite database file")
|
|
parser.add_argument("--batch-size", type=int, default=5000, help="Batch size for processing measurements")
|
|
parser.add_argument("--fast", action="store_true", help="Use maximum speed mode (batch-size 10000)")
|
|
parser.add_argument("--dry-run", action="store_true", help="Analyze only, don't migrate")
|
|
|
|
args = parser.parse_args()
|
|
|
|
# Set fast mode
|
|
if args.fast:
|
|
args.batch_size = 10000
|
|
|
|
# Get SQLite path
|
|
sqlite_path = args.sqlite_path
|
|
if not sqlite_path:
|
|
# Try to find common SQLite database files
|
|
possible_paths = [
|
|
"water_levels.db",
|
|
"water_monitoring.db",
|
|
"database.db",
|
|
"../water_levels.db"
|
|
]
|
|
|
|
for path in possible_paths:
|
|
if os.path.exists(path):
|
|
sqlite_path = path
|
|
break
|
|
|
|
if not sqlite_path:
|
|
print("SQLite database file not found. Please specify the path:")
|
|
print(" python migrate_sqlite_to_postgres.py /path/to/database.db")
|
|
return False
|
|
|
|
# Get PostgreSQL configuration
|
|
try:
|
|
from config import Config
|
|
postgres_config = Config.get_database_config()
|
|
|
|
if postgres_config['type'] != 'postgresql':
|
|
print("Error: PostgreSQL not configured. Set DB_TYPE=postgresql in your .env file")
|
|
return False
|
|
|
|
except Exception as e:
|
|
print(f"Error loading PostgreSQL configuration: {e}")
|
|
return False
|
|
|
|
# Run migration
|
|
migrator = SQLiteToPostgresMigrator(sqlite_path, postgres_config)
|
|
|
|
if args.dry_run:
|
|
print("DRY RUN MODE - Analyzing SQLite database structure only")
|
|
if migrator.connect_databases():
|
|
schema_info = migrator.analyze_sqlite_schema()
|
|
print("\nSQLite database structure analysis complete.")
|
|
print("Run without --dry-run to perform the actual migration.")
|
|
return True
|
|
|
|
success = migrator.run_migration()
|
|
return success
|
|
|
|
if __name__ == "__main__":
|
|
success = main()
|
|
sys.exit(0 if success else 1) |