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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,73 @@ import json import os import duckdb import boto3 import datetime from typing import Any, Dict def construct_prepared_sql_and_params(sql_template, bind_params): single_value_params = {k: v for k, v in bind_params.items() if not isinstance(v, list)} list_params = {k: v for k, v in bind_params.items() if isinstance(v, list)} for key in single_value_params.keys(): sql_template = sql_template.replace(f"{{{key}}}", "?") for key, values in list_params.items(): placeholders = ', '.join(['?'] * len(values)) sql_template = sql_template.replace(f"{{{key}}}", placeholders) flat_params = [] for key in bind_params: if key in single_value_params: flat_params.append(single_value_params[key]) elif key in list_params: flat_params.extend(list_params[key]) return sql_template, flat_params def serialize_dates(row): for key, value in row.items(): if isinstance(value, datetime.date): row[key] = value.strftime('%d-%m-%Y') return row def lambda_handler(event: Dict[str, Any], context): print("Duckdb Lambda received event: " + json.dumps(event, indent=4)) file_name = event.get('file_name') sql = event.get('sql') bind_params = event.get('bind_params', {}) return_type = event.get('return_type', 'List') s3 = boto3.client('s3') bucket_name = os.getenv('BUCKET_NAME') local_file_name = f"/tmp/{file_name}" os.makedirs(os.path.dirname(local_file_name), exist_ok=True) s3.download_file(bucket_name, file_name, local_file_name) conn = duckdb.connect(database=':memory:', read_only=False) prepared_sql = sql % local_file_name try: prepared_sql, flat_params = construct_prepared_sql_and_params(prepared_sql, bind_params) print(prepared_sql) print(f"flat_params -> {flat_params}") cursor = conn.execute(prepared_sql, parameters=flat_params) columns = [description[0] for description in cursor.description] fetched_results = [dict(zip(columns, row)) for row in cursor.fetchall()] fetched_results = [serialize_dates(row) for row in fetched_results] if return_type == 'Single': results = fetched_results[0] if fetched_results else {} else: results = fetched_results finally: conn.close() print("Duckdb Lambda processing completed") return results