#!/usr/bin/env -S python3 -u import json import turso from antithesis.random import get_random, random_choice # Get initial state try: con_init = turso.connect("init_state.db") except Exception as e: print(f"Error connecting to database: {e}") exit(0) cur_init = con_init.cursor() # Get all existing tables from schemas existing_schemas = cur_init.execute("SELECT tbl, schema FROM schemas").fetchall() if not existing_schemas: print("No tables found in schemas") exit(0) # Select a random table selected_idx = get_random() % len(existing_schemas) selected_tbl, schema_json = existing_schemas[selected_idx] tbl_schema = json.loads(schema_json) print(f"Selected table: tbl_{selected_tbl} with {tbl_schema['colCount']} columns") # Connect to the main database try: con = turso.connect("stress_composer.db") except Exception as e: print(f"Failed to open stress_composer.db. Exiting... {e}") exit(0) cur = con.cursor() # Define possible data types and constraints for new columns data_types = ["INTEGER", "REAL", "TEXT", "BLOB", "NUMERIC"] # When adding columns to existing tables, NOT NULL without DEFAULT is not allowed constraints = ["", "DEFAULT 0", "DEFAULT ''", "DEFAULT NULL"] # Choose ALTER TABLE operation # Weight ADD_COLUMN more heavily (60% chance) rand_val = get_random() % 100 if rand_val < 60: operation = "ADD_COLUMN" elif rand_val < 80: operation = "RENAME_TABLE" else: operation = "RENAME_COLUMN" try: if operation == "ADD_COLUMN": # Add a new column new_col_num = tbl_schema["colCount"] new_col_name = f"col_{new_col_num}" # Choose data type and constraint col_data_type = random_choice(data_types) col_constraint = random_choice(constraints) alter_stmt = f"ALTER TABLE tbl_{selected_tbl} ADD COLUMN {new_col_name} {col_data_type}" if col_constraint: alter_stmt += f" {col_constraint}" print(f"Adding column: {alter_stmt}") cur.execute(alter_stmt) # Update schema in init_state.db tbl_schema["colCount"] += 1 tbl_schema[new_col_name] = { "data_type": col_data_type, "constraint1": col_constraint, "constraint2": "" } cur_init.execute( "UPDATE schemas SET schema = ? WHERE tbl = ?", (json.dumps(tbl_schema), selected_tbl) ) print(f"Successfully added column {new_col_name} to tbl_{selected_tbl}") elif operation == "RENAME_TABLE": new_table = len(existing_schemas) + 1 alter_stmt = f"ALTER TABLE tbl_{selected_tbl} RENAME TO tbl_{new_table}" print(f"Renaming table: {alter_stmt}") cur.execute(alter_stmt) # Update schemas table - change the tbl identifier to match the new name # Extract the new table number/identifier from the new name cur_init.execute( "UPDATE schemas SET tbl = ? WHERE tbl = ?", (new_table, selected_tbl) ) print(f"Successfully renamed table tbl_{selected_tbl} to tbl_{new_table}") elif operation == "RENAME_COLUMN": # Select a random non-primary key column to rename available_cols = [] pk_col = tbl_schema.get("pk", 0) for i in range(tbl_schema["colCount"]): if i != pk_col: available_cols.append(i) if available_cols: selected_col = random_choice(available_cols) old_col_name = f"col_{selected_col}" new_col_name = f"col_{selected_col}_renamed" alter_stmt = f"ALTER TABLE tbl_{selected_tbl} RENAME COLUMN {old_col_name} TO {new_col_name}" print(f"Renaming column: {alter_stmt}") cur.execute(alter_stmt) # Rename it back to maintain consistency cur.execute(f"ALTER TABLE tbl_{selected_tbl} RENAME COLUMN {new_col_name} TO {old_col_name}") print(f"Successfully renamed column {old_col_name} (and renamed back)") else: print("No non-primary key columns available to rename") con.commit() con_init.commit() except turso.ProgrammingError as e: print(f"Table/column might have been dropped in parallel: {e}") con.rollback() con_init.rollback() except turso.OperationalError as e: print(f"Failed to alter table: {e}") con.rollback() con_init.rollback() except Exception as e: print(f"Unexpected error: {e}") con.rollback() con_init.rollback() con.close() con_init.close()