Skip to main content
Glama
test_concurrent_subprocess_access.py2.32 kB
import os import asyncio import cognee import pathlib import subprocess from cognee.shared.logging_utils import get_logger logger = get_logger() async def concurrent_subprocess_access(): data_directory_path = str( pathlib.Path( os.path.join(pathlib.Path(__file__).parent, ".data_storage/concurrent_tasks") ).resolve() ) cognee_directory_path = str( pathlib.Path( os.path.join(pathlib.Path(__file__).parent, ".cognee_system/concurrent_tasks") ).resolve() ) subprocess_directory_path = str( pathlib.Path(os.path.join(pathlib.Path(__file__).parent, "subprocesses/")).resolve() ) writer_path = subprocess_directory_path + "/writer.py" reader_path = subprocess_directory_path + "/reader.py" cognee.config.data_root_directory(data_directory_path) cognee.config.system_root_directory(cognee_directory_path) await cognee.prune.prune_data() await cognee.prune.prune_system(metadata=True) writer_process = subprocess.Popen([os.sys.executable, str(writer_path)]) reader_process = subprocess.Popen([os.sys.executable, str(reader_path)]) # Wait for both processes to complete writer_process.wait() reader_process.wait() logger.info("Basic write read subprocess example finished") await cognee.prune.prune_data() await cognee.prune.prune_system(metadata=True) text = """ This is the text of the first cognify subprocess """ await cognee.add(text, dataset_name="first_cognify_dataset") text = """ This is the text of the second cognify subprocess """ await cognee.add(text, dataset_name="second_cognify_dataset") first_cognify_path = subprocess_directory_path + "/simple_cognify_1.py" second_cognify_path = subprocess_directory_path + "/simple_cognify_2.py" first_cognify_process = subprocess.Popen([os.sys.executable, str(first_cognify_path)]) second_cognify_process = subprocess.Popen([os.sys.executable, str(second_cognify_path)]) # Wait for both processes to complete first_cognify_process.wait() second_cognify_process.wait() logger.info("Database concurrent subprocess example finished") if __name__ == "__main__": asyncio.run(concurrent_subprocess_access())

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/topoteretes/cognee'

If you have feedback or need assistance with the MCP directory API, please join our Discord server