diff --git a/README.md b/README.md index 68e18a0..7e8930e 100644 --- a/README.md +++ b/README.md @@ -4,8 +4,10 @@ Un tool robusto per la migrazione di database MySQL a PostgreSQL con trasformazi ## Caratteristiche +- **Web GUI**: Interfaccia grafica basata su Gradio per monitoraggio e controllo visuale - **Migrazione Completa**: Trasferimento di tutti i dati da MySQL a PostgreSQL - **Migrazione Incrementale**: Sincronizzazione periodica basata su consolidation keys +- **Migrazione Parallela**: Supporto per worker multipli per velocizzare le migrazioni - **Consolidamento Dati**: Raggruppa multiple righe MySQL in singoli record PostgreSQL - **Trasformazione JSONB**: Consolidamento automatico di colonne multiple in campi JSONB - **Partizionamento**: Supporto per partizioni per anno (2014-2031) @@ -16,6 +18,7 @@ Un tool robusto per la migrazione di database MySQL a PostgreSQL con trasformazi - **Logging**: Logging strutturato con Rich per output colorato - **Dry-Run Mode**: Modalità test senza modificare i dati - **State Management**: Tracking affidabile con tabella `migration_state` in PostgreSQL +- **Error Logging**: Tracciamento automatico di chiavi di consolidamento non valide ## Setup @@ -94,7 +97,47 @@ Crea lo schema PostgreSQL con: - Indici ottimizzati per JSONB - Tabella di tracking `migration_state` -#### Migrazione Completa +#### Web GUI (Interfaccia Grafica) 🎨 + +Lancia l'interfaccia web per monitorare e controllare le migrazioni in modo visuale: + +```bash +# Avvia la GUI sulla porta predefinita (7860) +uv run main.py web + +# Avvia su una porta specifica +uv run main.py web --port 8080 + +# Crea un link pubblico condivisibile (utile per accesso remoto) +uv run main.py web --share +``` + +Poi apri il browser su `http://localhost:7860` per accedere alla dashboard. + +**Funzionalità della GUI:** + +- **📊 Overview Tab**: Visualizza lo stato di tutte le partizioni con grafici e tabelle in tempo reale +- **▶️ Start Migration Tab**: Avvia nuove migrazioni full con controlli per: + - Selezione tabella (RAWDATACOR, ELABDATADISP, o entrambe) + - Modalità parallela (numero di worker) + - Resume da checkpoint + - Dry-run mode + - Migrazione di partizione singola +- **🔄 Incremental Sync Tab**: Sincronizza solo i nuovi dati aggiunti dopo l'ultima migrazione full + - Selezione tabella + - Dry-run mode + - Spiegazione di come funziona l'incremental +- **📝 Logs Tab**: Visualizza i log in tempo reale delle migrazioni in corso +- **⚠️ Error Logs Tab**: Esplora i file di log degli errori di validazione + +**Vantaggi rispetto alla CLI:** +- Monitoraggio visuale dello stato delle migrazioni +- Grafici interattivi per statistiche e progress +- Controllo centralizzato di più migrazioni +- Nessun bisogno di terminali multipli +- Accessibile anche da remoto con `--share` + +#### Migrazione Completa (CLI) ```bash # Migrare tutte le tabelle python main.py migrate full diff --git a/main.py b/main.py index 6d0fa0b..fc30b7d 100644 --- a/main.py +++ b/main.py @@ -219,5 +219,40 @@ def info(): click.echo(f" Iterations: {settings.benchmark.iterations}") +@cli.command() +@click.option( + "--port", + type=int, + default=7860, + help="Port to run the web interface on (default: 7860)" +) +@click.option( + "--share", + is_flag=True, + help="Create a public share link (useful for remote access)" +) +def web(port, share): + """Launch web-based GUI for migration monitoring and control.""" + setup_logger("") # Configure root logger to show all module logs + + try: + from web_ui import launch_ui + + click.echo(f"\n🚀 Starting Migration Dashboard on http://localhost:{port}") + if share: + click.echo("📡 Creating public share link...") + + launch_ui(share=share, server_port=port) + + except ImportError as e: + click.echo(f"✗ Failed to import web_ui module: {e}", err=True) + click.echo("Make sure gradio is installed: uv sync", err=True) + sys.exit(1) + except Exception as e: + logger.error(f"Web interface failed: {e}") + click.echo(f"✗ Web interface failed: {e}", err=True) + sys.exit(1) + + if __name__ == "__main__": cli(obj={}) diff --git a/pyproject.toml b/pyproject.toml index bc85ef7..bd826db 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,4 +13,7 @@ dependencies = [ "pydantic>=2.5.0", "pydantic-settings>=2.1.0", "cryptography>=46.0.3", + "gradio>=4.0.0", + "pandas>=2.0.0", + "plotly>=5.0.0", ] diff --git a/src/connectors/mysql_connector.py b/src/connectors/mysql_connector.py index 0118cf3..01f74b2 100644 --- a/src/connectors/mysql_connector.py +++ b/src/connectors/mysql_connector.py @@ -695,6 +695,92 @@ class MySQLConnector: ) self._reconnect() + def fetch_consolidation_keys_from_partition_after( + self, + table: str, + partition: str, + after_key: Optional[Dict[str, Any]] = None, + limit: Optional[int] = None + ) -> List[Dict[str, Any]]: + """Fetch distinct consolidation keys from a specific partition after a specific key. + + Optimized version for incremental migration that queries only one partition. + + Query pattern: + SELECT UnitName, ToolNameID, EventDate, EventTime + FROM table PARTITION (partition_name) + WHERE (UnitName, ToolNameID, EventDate, EventTime) > (?, ?, ?, ?) + GROUP BY UnitName, ToolNameID, EventDate, EventTime + ORDER BY UnitName, ToolNameID, EventDate, EventTime + LIMIT X + + Args: + table: Table name (RAWDATACOR or ELABDATADISP) + partition: Partition name (e.g., 'part8', 'd9') + after_key: Start after this key (dict with unit_name, tool_name_id, event_date, event_time) + limit: Number of keys to fetch (uses CONSOLIDATION_GROUP_LIMIT if None) + + Returns: + List of dicts with keys: UnitName, ToolNameID, EventDate, EventTime + """ + if table not in ("RAWDATACOR", "ELABDATADISP"): + raise ValueError(f"Consolidation not supported for table {table}") + + if limit is None: + limit = self.settings.migration.consolidation_group_limit + + retries = 0 + while retries < self.MAX_RETRIES: + try: + with self.connection.cursor() as cursor: + if after_key: + # Fetch keys AFTER the last migrated key from this specific partition + query = f""" + SELECT UnitName, ToolNameID, EventDate, EventTime + FROM `{table}` PARTITION (`{partition}`) + WHERE (UnitName, ToolNameID, EventDate, EventTime) > (%s, %s, %s, %s) + GROUP BY UnitName, ToolNameID, EventDate, EventTime + ORDER BY UnitName, ToolNameID, EventDate, EventTime + LIMIT %s + """ + cursor.execute( + query, + ( + after_key.get("unit_name"), + after_key.get("tool_name_id"), + after_key.get("event_date"), + after_key.get("event_time"), + limit + ) + ) + else: + # No after_key: fetch from beginning of partition + query = f""" + SELECT UnitName, ToolNameID, EventDate, EventTime + FROM `{table}` PARTITION (`{partition}`) + GROUP BY UnitName, ToolNameID, EventDate, EventTime + ORDER BY UnitName, ToolNameID, EventDate, EventTime + LIMIT %s + """ + cursor.execute(query, (limit,)) + + keys = cursor.fetchall() + return keys + + except pymysql.Error as e: + retries += 1 + if retries >= self.MAX_RETRIES: + logger.error( + f"Failed to fetch consolidation keys from {table} PARTITION ({partition}) " + f"(after_key={after_key}) after {self.MAX_RETRIES} retries: {e}" + ) + raise + else: + logger.warning( + f"Fetch consolidation keys from partition failed (retry {retries}/{self.MAX_RETRIES}): {e}" + ) + self._reconnect() + def fetch_records_for_key_all_partitions( self, table: str, diff --git a/src/migrator/incremental_migrator.py b/src/migrator/incremental_migrator.py index 77c27a8..f965b69 100644 --- a/src/migrator/incremental_migrator.py +++ b/src/migrator/incremental_migrator.py @@ -81,52 +81,63 @@ class IncrementalMigrator: f"{last_key.get('event_date')}, {last_key.get('event_time')})" ) - # Get max MySQL ID already migrated to optimize query performance - cursor = pg_conn.connection.cursor() - cursor.execute(f"SELECT MAX(mysql_max_id) FROM {pg_table}") - result = cursor.fetchone() - max_mysql_id = result[0] if result and result[0] else 0 + # Determine which partitions to process based on last_key's event_date + # This is a MAJOR optimization: instead of querying the entire table, + # we only process partitions from the last migrated year onwards + from config import get_partitions_from_year, date_string_to_partition_name - logger.info(f"Max MySQL ID already migrated: {max_mysql_id}") + last_event_date = last_key.get('event_date') + if not last_event_date: + logger.warning("Last key has no event_date, starting from 2014") + partitions_to_process = mysql_conn.get_table_partitions(mysql_table) + else: + # Extract year from last_event_date and get partitions from that year onwards + year = int(str(last_event_date)[:4]) if len(str(last_event_date)) >= 4 else 2014 + partitions_to_process = get_partitions_from_year(year, mysql_table) + + logger.info( + f"Optimized incremental sync: Processing only {len(partitions_to_process)} " + f"partitions from year {year} onwards: {partitions_to_process}" + ) + logger.info( + f"Skipping partitions before year {year} (no new data possible there)" + ) if dry_run: # In dry-run, check how many new keys exist in MySQL - logger.info("[DRY RUN] Checking for new keys in MySQL...") + logger.info("[DRY RUN] Checking for new keys across relevant partitions...") - # Sample first 100 keys to check if there are new records - sample_keys = mysql_conn.fetch_consolidation_keys_after( - mysql_table, - after_key=last_key, - min_mysql_id=max_mysql_id, - limit=100, - offset=0 - ) + total_new_keys = 0 + first_keys_found = [] - if sample_keys: - # If we found 100 keys in the sample, there might be many more - # Try to get a rough count by checking larger offsets - if len(sample_keys) == 100: - # There are at least 100 keys, check if there are more - logger.info( - f"[DRY RUN] Found at least 100 new keys, checking total count..." - ) - # Sample at different offsets to estimate total - test_batch = mysql_conn.fetch_consolidation_keys_after( + for partition in partitions_to_process: + # For first partition (same year as last_key), use after_key + # For subsequent partitions, start from beginning + if partition == partitions_to_process[0]: + sample_keys = mysql_conn.fetch_consolidation_keys_from_partition_after( mysql_table, + partition=partition, after_key=last_key, - min_mysql_id=max_mysql_id, - limit=1, - offset=1000 + limit=100 ) - if test_batch: - logger.info(f"[DRY RUN] Estimated: More than 1000 new keys to migrate") - else: - logger.info(f"[DRY RUN] Estimated: Between 100-1000 new keys to migrate") + logger.info(f"[DRY RUN] Partition {partition}: {len(sample_keys)} new keys (after last_key)") else: - logger.info(f"[DRY RUN] Found {len(sample_keys)} new keys to migrate") + sample_keys = mysql_conn.fetch_consolidation_keys_from_partition_after( + mysql_table, + partition=partition, + after_key=None, # All keys from this partition are new + limit=100 + ) + logger.info(f"[DRY RUN] Partition {partition}: {len(sample_keys)} new keys (all new)") + total_new_keys += len(sample_keys) + if sample_keys and len(first_keys_found) < 3: + first_keys_found.extend(sample_keys[:3 - len(first_keys_found)]) + + if total_new_keys > 0: + logger.info(f"[DRY RUN] Found at least {total_new_keys} new keys across {len(partitions_to_process)} partitions") logger.info("[DRY RUN] First 3 keys:") - for i, key in enumerate(sample_keys[:3]): + for i, key in enumerate(first_keys_found[:3]): logger.info( f" {i+1}. ({key.get('UnitName')}, {key.get('ToolNameID')}, " f"{key.get('EventDate')}, {key.get('EventTime')})" @@ -134,15 +145,13 @@ class IncrementalMigrator: logger.info( f"[DRY RUN] Run without --dry-run to perform actual migration" ) - # Return a positive number to indicate there's data to migrate - return len(sample_keys) + return total_new_keys else: logger.info("[DRY RUN] No new keys found - database is up to date") return 0 # Migrate new keys migrated_rows = 0 - offset = 0 insert_buffer = [] buffer_size = self.settings.migration.consolidation_group_limit // 10 last_processed_key = None # Track last key for final state update @@ -155,121 +164,133 @@ class IncrementalMigrator: # Get column order for PostgreSQL insert pg_columns = self._get_pg_columns() - while True: - # Fetch batch of consolidation keys AFTER last_key - logger.debug(f"Fetching keys after last_key with offset={offset}") - keys = mysql_conn.fetch_consolidation_keys_after( - mysql_table, - after_key=last_key, - min_mysql_id=max_mysql_id, - limit=self.settings.migration.consolidation_group_limit, - offset=offset + # Process each partition + for partition_idx, partition in enumerate(partitions_to_process, 1): + logger.info( + f"[{partition_idx}/{len(partitions_to_process)}] " + f"Processing partition {partition}..." ) - if not keys: - logger.info("No more new keys to migrate") - break + # For first partition (same year as last_key), fetch keys AFTER last_key + # For subsequent partitions, fetch ALL keys (they're all new) + use_after_key = last_key if partition == partitions_to_process[0] else None - logger.info(f"Processing {len(keys)} new keys (offset={offset})") - - # Process each consolidation key - keys_processed = 0 - for key in keys: - keys_processed += 1 - # Log progress every 1000 keys - if keys_processed % 1000 == 0: - logger.info(f" Processed {keys_processed}/{len(keys)} keys in this batch...") - unit_name = key.get("UnitName") - tool_name_id = key.get("ToolNameID") - event_date = key.get("EventDate") - event_time = key.get("EventTime") - - # Validate consolidation key before fetching - is_valid, error_reason = validate_consolidation_key( - unit_name, tool_name_id, event_date, event_time + while True: + # Fetch batch of consolidation keys from this partition + keys = mysql_conn.fetch_consolidation_keys_from_partition_after( + mysql_table, + partition=partition, + after_key=use_after_key, + limit=self.settings.migration.consolidation_group_limit ) - if not is_valid: - # Log invalid key and skip - error_logger.log_invalid_key( - unit_name, tool_name_id, event_date, event_time, error_reason - ) - continue + if not keys: + logger.info(f" No more keys in partition {partition}") + break - # Fetch all MySQL rows for this key (all nodes, all partitions) - try: - mysql_rows = mysql_conn.fetch_records_for_key_all_partitions( - mysql_table, - unit_name, - tool_name_id, - event_date, - event_time - ) - except Exception as e: - # Log corrupted key that caused fetch error - error_logger.log_invalid_key( - unit_name, tool_name_id, event_date, event_time, - f"Fetch failed: {e}" - ) - continue + logger.info(f" Processing {len(keys)} keys from {partition}...") - if not mysql_rows: - logger.warning( - f"No records found for key: " - f"({unit_name}, {tool_name_id}, {event_date}, {event_time})" - ) - continue + # Process each consolidation key + keys_processed = 0 + for key in keys: + keys_processed += 1 + # Log progress every 1000 keys + if keys_processed % 1000 == 0: + logger.info(f" Processed {keys_processed}/{len(keys)} keys in this batch...") + unit_name = key.get("UnitName") + tool_name_id = key.get("ToolNameID") + event_date = key.get("EventDate") + event_time = key.get("EventTime") - # Consolidate into single PostgreSQL row - try: - pg_row = consolidate_rows(self.table, mysql_rows) - except Exception as e: - logger.error( - f"Failed to consolidate key " - f"({unit_name}, {tool_name_id}, {event_date}, {event_time}): {e}" - ) - continue - - # Add to insert buffer - insert_buffer.append(pg_row) - - # Track last processed key - last_processed_key = { - "unit_name": unit_name, - "tool_name_id": tool_name_id, - "event_date": str(event_date) if event_date else None, - "event_time": str(event_time) if event_time else None, - } - - # Flush buffer when full - if len(insert_buffer) >= buffer_size: - # Use COPY with ON CONFLICT to handle duplicates - inserted = pg_conn.copy_from_with_conflict( - pg_table, - insert_buffer, - pg_columns, - conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"] - ) - migrated_rows += inserted - progress.update(inserted) - - # Update state with last key (from tracked variable) - state_mgr.update_state( - last_key=last_processed_key, - total_rows_migrated=state_mgr.get_total_rows_migrated() + migrated_rows + # Validate consolidation key before fetching + is_valid, error_reason = validate_consolidation_key( + unit_name, tool_name_id, event_date, event_time ) - logger.debug( - f"Flushed {inserted} rows, total new: {migrated_rows}" - ) - insert_buffer = [] + if not is_valid: + # Log invalid key and skip + error_logger.log_invalid_key( + unit_name, tool_name_id, event_date, event_time, error_reason + ) + continue - # Move to next batch of keys - offset += len(keys) + # Fetch all MySQL rows for this key (all nodes, all partitions) + try: + mysql_rows = mysql_conn.fetch_records_for_key_all_partitions( + mysql_table, + unit_name, + tool_name_id, + event_date, + event_time + ) + except Exception as e: + # Log corrupted key that caused fetch error + error_logger.log_invalid_key( + unit_name, tool_name_id, event_date, event_time, + f"Fetch failed: {e}" + ) + continue - # If we got fewer keys than requested, we're done - if len(keys) < self.settings.migration.consolidation_group_limit: - break + if not mysql_rows: + logger.warning( + f"No records found for key: " + f"({unit_name}, {tool_name_id}, {event_date}, {event_time})" + ) + continue + + # Consolidate into single PostgreSQL row + try: + pg_row = consolidate_rows(self.table, mysql_rows) + except Exception as e: + logger.error( + f"Failed to consolidate key " + f"({unit_name}, {tool_name_id}, {event_date}, {event_time}): {e}" + ) + continue + + # Add to insert buffer + insert_buffer.append(pg_row) + + # Track last processed key + last_processed_key = { + "unit_name": unit_name, + "tool_name_id": tool_name_id, + "event_date": str(event_date) if event_date else None, + "event_time": str(event_time) if event_time else None, + } + + # Flush buffer when full + if len(insert_buffer) >= buffer_size: + # Use COPY with ON CONFLICT to handle duplicates + inserted = pg_conn.copy_from_with_conflict( + pg_table, + insert_buffer, + pg_columns, + conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"] + ) + migrated_rows += inserted + progress.update(inserted) + + # Update state with last key (from tracked variable) + state_mgr.update_state( + last_key=last_processed_key, + total_rows_migrated=state_mgr.get_total_rows_migrated() + migrated_rows + ) + + logger.debug( + f"Flushed {inserted} rows, total new: {migrated_rows}" + ) + insert_buffer = [] + + # After processing all keys in batch, update use_after_key for next iteration + if keys: + last_key_in_batch = keys[-1] + use_after_key = { + "unit_name": last_key_in_batch.get("UnitName"), + "tool_name_id": last_key_in_batch.get("ToolNameID"), + "event_date": str(last_key_in_batch.get("EventDate")) if last_key_in_batch.get("EventDate") else None, + "event_time": str(last_key_in_batch.get("EventTime")) if last_key_in_batch.get("EventTime") else None, + } # Flush remaining buffer if insert_buffer: diff --git a/uv.lock b/uv.lock index 03ce467..9156eaf 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,30 @@ version = 1 revision = 3 requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.13'", + "python_full_version == '3.12.*'", + "python_full_version == '3.11.*'", + "python_full_version < 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+from src.utils.logger import get_logger + +logger = get_logger(__name__) + +# Global state for tracking running migrations +running_migrations = {} +migration_logs = {} + + +def get_migration_state_df() -> pd.DataFrame: + """Fetch current migration state from PostgreSQL. + + Returns: + DataFrame with columns: table_name, partition_name, status, + total_rows_migrated, migration_started_at, migration_completed_at + """ + try: + with PostgreSQLConnector() as pg_conn: + with pg_conn.connection.cursor() as cursor: + cursor.execute(""" + SELECT + table_name, + partition_name, + status, + total_rows_migrated, + migration_started_at, + migration_completed_at, + last_key + FROM migration_state + WHERE partition_name != '_global' + ORDER BY table_name, partition_name + """) + + rows = cursor.fetchall() + + if not rows: + return pd.DataFrame(columns=[ + 'Table', 'Partition', 'Status', 'Rows Migrated', + 'Started At', 'Completed At' + ]) + + df = pd.DataFrame(rows, columns=[ + 'Table', 'Partition', 'Status', 'Rows Migrated', + 'Started At', 'Completed At', 'Last Key' + ]) + + # Format dates + df['Started At'] = pd.to_datetime(df['Started At']).dt.strftime('%Y-%m-%d %H:%M:%S') + df['Completed At'] = pd.to_datetime(df['Completed At']).dt.strftime('%Y-%m-%d %H:%M:%S') + df['Completed At'] = df['Completed At'].fillna('-') + + # Drop Last Key column for display (too verbose) + df = df.drop('Last Key', axis=1) + + return df + + except Exception as e: + logger.error(f"Failed to fetch migration state: {e}") + return pd.DataFrame(columns=[ + 'Table', 'Partition', 'Status', 'Rows Migrated', + 'Started At', 'Completed At' + ]) + + +def get_migration_summary() -> Dict[str, any]: + """Get summary statistics for migrations. + + Returns: + Dict with total/completed/in_progress/pending counts per table + """ + try: + with PostgreSQLConnector() as pg_conn: + with pg_conn.connection.cursor() as cursor: + cursor.execute(""" + SELECT + table_name, + status, + COUNT(*) as count, + SUM(total_rows_migrated) as total_rows + FROM migration_state + WHERE partition_name != '_global' + GROUP BY table_name, status + ORDER BY table_name, status + """) + + rows = cursor.fetchall() + + summary = { + 'RAWDATACOR': {'completed': 0, 'in_progress': 0, 'pending': 0, 'total_rows': 0}, + 'ELABDATADISP': {'completed': 0, 'in_progress': 0, 'pending': 0, 'total_rows': 0} + } + + for table, status, count, total_rows in rows: + table_upper = table.upper() + if table_upper in summary: + summary[table_upper][status] = count + summary[table_upper]['total_rows'] += total_rows or 0 + + return summary + + except Exception as e: + logger.error(f"Failed to fetch migration summary: {e}") + return { + 'RAWDATACOR': {'completed': 0, 'in_progress': 0, 'pending': 0, 'total_rows': 0}, + 'ELABDATADISP': {'completed': 0, 'in_progress': 0, 'pending': 0, 'total_rows': 0} + } + + +def create_status_chart() -> go.Figure: + """Create a bar chart showing migration status by table. + + Returns: + Plotly figure + """ + summary = get_migration_summary() + + tables = [] + completed = [] + in_progress = [] + pending = [] + + for table, stats in summary.items(): + tables.append(table) + completed.append(stats['completed']) + in_progress.append(stats['in_progress']) + pending.append(stats['pending']) + + fig = go.Figure(data=[ + go.Bar(name='Completed', x=tables, y=completed, marker_color='green'), + go.Bar(name='In Progress', x=tables, y=in_progress, marker_color='orange'), + go.Bar(name='Pending', x=tables, y=pending, marker_color='gray') + ]) + + fig.update_layout( + barmode='stack', + title='Migration Status by Table', + xaxis_title='Table', + yaxis_title='Number of Partitions', + height=400 + ) + + return fig + + +def get_error_logs() -> List[Tuple[str, str]]: + """Get list of error log files with their paths. + + Returns: + List of (filename, filepath) tuples + """ + error_logs = [] + for log_file in Path('.').glob('migration_errors_*.log'): + error_logs.append((log_file.name, str(log_file))) + + return sorted(error_logs, key=lambda x: x[0], reverse=True) + + +def read_error_log(log_file: str) -> str: + """Read contents of an error log file. + + Args: + log_file: Path to log file + + Returns: + Contents of log file + """ + try: + if not log_file or log_file == "Select a log file...": + return "No log file selected" + + with open(log_file, 'r') as f: + content = f.read() + + if not content: + return f"Log file {log_file} is empty (no errors logged)" + + return content + + except Exception as e: + return f"Error reading log file: {e}" + + +def start_migration_task( + table: str, + parallel_workers: int, + resume: bool, + dry_run: bool, + partition: Optional[str] = None +) -> str: + """Start a migration in a background thread. + + Args: + table: Table name (RAWDATACOR, ELABDATADISP, or all) + parallel_workers: Number of parallel workers (0 = sequential) + resume: Whether to resume from last checkpoint + dry_run: Whether to run in dry-run mode + partition: Optional partition name for single partition migration + + Returns: + Status message + """ + task_id = f"{table}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" + + if task_id in running_migrations: + return f"❌ Migration already running for {table}" + + # Validate options + if parallel_workers > 0 and partition: + return "❌ Cannot use parallel workers with single partition mode" + + # Initialize log buffer for this task + migration_logs[task_id] = [] + + def run_migration(): + """Worker function to run migration.""" + try: + migration_logs[task_id].append(f"Starting migration for {table}...") + migration_logs[task_id].append(f"Mode: {'Parallel' if parallel_workers > 0 else 'Sequential'}") + migration_logs[task_id].append(f"Resume: {resume}, Dry-run: {dry_run}") + + if parallel_workers > 0: + # Parallel migration + rows = run_parallel_migration( + table, + num_workers=parallel_workers, + dry_run=dry_run, + resume=resume + ) + else: + # Sequential migration + rows = run_full_migration( + table, + dry_run=dry_run, + resume=resume, + partition=partition + ) + + migration_logs[task_id].append(f"✓ Migration complete: {rows:,} rows migrated") + running_migrations[task_id] = 'completed' + + except Exception as e: + migration_logs[task_id].append(f"❌ Migration failed: {e}") + running_migrations[task_id] = 'failed' + logger.error(f"Migration failed: {e}") + + # Start migration in background thread + thread = threading.Thread(target=run_migration, daemon=True) + thread.start() + + running_migrations[task_id] = 'running' + + return f"✓ Migration started: {task_id}\nCheck the 'Logs' tab for progress" + + +def start_incremental_migration_task( + table: str, + dry_run: bool +) -> str: + """Start an incremental migration in a background thread. + + Args: + table: Table name (RAWDATACOR, ELABDATADISP, or all) + dry_run: Whether to run in dry-run mode + + Returns: + Status message + """ + task_id = f"incremental_{table}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" + + if task_id in running_migrations: + return f"❌ Incremental migration already running for {table}" + + # Initialize log buffer for this task + migration_logs[task_id] = [] + + def run_migration(): + """Worker function to run incremental migration.""" + try: + migration_logs[task_id].append(f"Starting INCREMENTAL migration for {table}...") + migration_logs[task_id].append(f"Dry-run: {dry_run}") + migration_logs[task_id].append("This will sync only NEW data added since last migration") + + from src.migrator.incremental_migrator import run_incremental_migration + + rows = run_incremental_migration( + table, + dry_run=dry_run + ) + + migration_logs[task_id].append(f"✓ Incremental migration complete: {rows:,} rows migrated") + running_migrations[task_id] = 'completed' + + except Exception as e: + migration_logs[task_id].append(f"❌ Incremental migration failed: {e}") + running_migrations[task_id] = 'failed' + logger.error(f"Incremental migration failed: {e}") + + # Start migration in background thread + thread = threading.Thread(target=run_migration, daemon=True) + thread.start() + + running_migrations[task_id] = 'running' + + return f"✓ Incremental migration started: {task_id}\nCheck the 'Logs' tab for progress" + + +def get_migration_logs(task_id: str) -> str: + """Get logs for a specific migration task. + + Args: + task_id: Task identifier + + Returns: + Log contents + """ + if not task_id or task_id == "No migrations running": + return "Select a migration to view logs" + + logs = migration_logs.get(task_id, []) + if not logs: + return f"No logs available for {task_id}" + + return "\n".join(logs) + + +def refresh_migration_state(): + """Refresh migration state display.""" + return get_migration_state_df() + + +def refresh_status_chart(): + """Refresh status chart.""" + return create_status_chart() + + +def refresh_running_migrations() -> gr.Dropdown: + """Refresh list of running migrations.""" + if not running_migrations: + return gr.Dropdown(choices=["No migrations running"], value="No migrations running") + + choices = list(running_migrations.keys()) + return gr.Dropdown(choices=choices, value=choices[0] if choices else None) + + +# Build Gradio interface +with gr.Blocks(title="MySQL to PostgreSQL Migration", theme=gr.themes.Soft()) as demo: + gr.Markdown("# 🔄 MySQL to PostgreSQL Migration Dashboard") + gr.Markdown("Monitor and control data migration from MySQL to PostgreSQL") + + with gr.Tabs(): + # Tab 1: Overview + with gr.Tab("📊 Overview"): + gr.Markdown("## Migration Status Overview") + + with gr.Row(): + refresh_btn = gr.Button("🔄 Refresh", scale=1) + + with gr.Row(): + status_chart = gr.Plot(label="Partition Status by Table") + + with gr.Row(): + state_table = gr.Dataframe( + value=get_migration_state_df(), + label="Migration State (All Partitions)", + interactive=False, + wrap=True + ) + + # Auto-refresh every 10 seconds + refresh_btn.click( + fn=lambda: (refresh_migration_state(), refresh_status_chart()), + outputs=[state_table, status_chart] + ) + + # Initial load + demo.load( + fn=lambda: (refresh_migration_state(), refresh_status_chart()), + outputs=[state_table, status_chart] + ) + + # Tab 2: Start Migration + with gr.Tab("▶️ Start Migration"): + gr.Markdown("## Start New Migration") + + with gr.Row(): + table_select = gr.Dropdown( + choices=["RAWDATACOR", "ELABDATADISP", "all"], + value="RAWDATACOR", + label="Table to Migrate" + ) + + partition_input = gr.Textbox( + label="Partition (optional)", + placeholder="Leave empty for all partitions, or enter e.g. 'part7', 'd9'", + value="" + ) + + with gr.Row(): + parallel_slider = gr.Slider( + minimum=0, + maximum=10, + value=0, + step=1, + label="Parallel Workers (0 = sequential)" + ) + + with gr.Row(): + resume_check = gr.Checkbox(label="Resume from last checkpoint", value=True) + dry_run_check = gr.Checkbox(label="Dry run (simulate without writing)", value=False) + + start_btn = gr.Button("▶️ Start Migration", variant="primary", size="lg") + + migration_output = gr.Textbox( + label="Migration Status", + lines=3, + interactive=False + ) + + start_btn.click( + fn=start_migration_task, + inputs=[table_select, parallel_slider, resume_check, dry_run_check, partition_input], + outputs=migration_output + ) + + # Tab 3: Incremental Migration + with gr.Tab("🔄 Incremental Sync"): + gr.Markdown("## Incremental Migration (Sync New Data)") + gr.Markdown(""" + Questa modalità sincronizza **solo i dati nuovi** aggiunti dopo l'ultima migrazione full. + + **Come funziona:** + - Trova le nuove consolidation keys in MySQL che non esistono ancora in PostgreSQL + - Migra solo quelle chiavi (non riprocessa dati già migrati) + - Usa `migration_state` per tracciare l'ultima chiave processata + + **Quando usare:** + - Dopo aver completato una migrazione full di tutte le partizioni + - Per sincronizzare periodicamente nuovi dati senza rifare tutto + - Per aggiornamenti quotidiani/settimanali + """) + + with gr.Row(): + inc_table_select = gr.Dropdown( + choices=["RAWDATACOR", "ELABDATADISP", "all"], + value="RAWDATACOR", + label="Table to Sync" + ) + + with gr.Row(): + inc_dry_run_check = gr.Checkbox( + label="Dry run (simulate without writing)", + value=False + ) + + inc_start_btn = gr.Button("🔄 Start Incremental Sync", variant="primary", size="lg") + + inc_migration_output = gr.Textbox( + label="Sync Status", + lines=3, + interactive=False + ) + + inc_start_btn.click( + fn=start_incremental_migration_task, + inputs=[inc_table_select, inc_dry_run_check], + outputs=inc_migration_output + ) + + # Tab 4: Logs + with gr.Tab("📝 Logs"): + gr.Markdown("## Migration Logs") + + with gr.Row(): + running_migrations_dropdown = gr.Dropdown( + choices=["No migrations running"], + value="No migrations running", + label="Select Migration", + interactive=True + ) + refresh_migrations_btn = gr.Button("🔄 Refresh List") + + log_output = gr.Textbox( + label="Log Output", + lines=20, + interactive=False, + max_lines=50 + ) + + refresh_migrations_btn.click( + fn=refresh_running_migrations, + outputs=running_migrations_dropdown + ) + + running_migrations_dropdown.change( + fn=get_migration_logs, + inputs=running_migrations_dropdown, + outputs=log_output + ) + + # Tab 5: Error Logs + with gr.Tab("⚠️ Error Logs"): + gr.Markdown("## Error Log Viewer") + gr.Markdown("View logged validation errors (invalid consolidation keys)") + + with gr.Row(): + error_log_dropdown = gr.Dropdown( + choices=[x[0] for x in get_error_logs()] if get_error_logs() else ["No error logs found"], + label="Select Error Log File", + value="Select a log file..." + ) + refresh_error_logs_btn = gr.Button("🔄 Refresh") + + error_log_content = gr.Textbox( + label="Error Log Contents", + lines=20, + interactive=False, + max_lines=50 + ) + + def refresh_error_log_list(): + logs = get_error_logs() + choices = [x[0] for x in logs] if logs else ["No error logs found"] + return gr.Dropdown(choices=choices) + + def show_error_log(filename): + if not filename or filename == "Select a log file..." or filename == "No error logs found": + return "Select a log file to view its contents" + return read_error_log(filename) + + refresh_error_logs_btn.click( + fn=refresh_error_log_list, + outputs=error_log_dropdown + ) + + error_log_dropdown.change( + fn=show_error_log, + inputs=error_log_dropdown, + outputs=error_log_content + ) + + +def launch_ui(share=False, server_port=7860): + """Launch the Gradio UI. + + Args: + share: Whether to create a public share link + server_port: Port to run the server on + """ + demo.launch( + share=share, + server_port=server_port, + server_name="0.0.0.0" # Listen on all interfaces + ) + + +if __name__ == "__main__": + import sys + + # Parse command line args + share = "--share" in sys.argv + port = 7860 + + for arg in sys.argv: + if arg.startswith("--port="): + port = int(arg.split("=")[1]) + + print(f"Starting Migration Dashboard on port {port}...") + print(f"Share mode: {share}") + + launch_ui(share=share, server_port=port)