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-rw-r--r--autogpt/plugins/__init__.py320
1 files changed, 0 insertions, 320 deletions
diff --git a/autogpt/plugins/__init__.py b/autogpt/plugins/__init__.py
deleted file mode 100644
index e9b864c61..000000000
--- a/autogpt/plugins/__init__.py
+++ /dev/null
@@ -1,320 +0,0 @@
-"""Handles loading of plugins."""
-from __future__ import annotations
-
-import importlib.util
-import inspect
-import json
-import os
-import sys
-import zipfile
-from pathlib import Path
-from typing import TYPE_CHECKING, List
-from urllib.parse import urlparse
-from zipimport import zipimporter
-
-import openapi_python_client
-import requests
-from auto_gpt_plugin_template import AutoGPTPluginTemplate
-from openapi_python_client.config import Config as OpenAPIConfig
-
-if TYPE_CHECKING:
- from autogpt.config import Config
-
-from autogpt.logs import logger
-from autogpt.models.base_open_ai_plugin import BaseOpenAIPlugin
-
-DEFAULT_PLUGINS_CONFIG_FILE = os.path.join(
- os.path.dirname(os.path.abspath(__file__)), "..", "..", "plugins_config.yaml"
-)
-
-
-def inspect_zip_for_modules(zip_path: str, debug: bool = False) -> list[str]:
- """
- Inspect a zipfile for a modules.
-
- Args:
- zip_path (str): Path to the zipfile.
- debug (bool, optional): Enable debug logging. Defaults to False.
-
- Returns:
- list[str]: The list of module names found or empty list if none were found.
- """
- result = []
- with zipfile.ZipFile(zip_path, "r") as zfile:
- for name in zfile.namelist():
- if name.endswith("__init__.py") and not name.startswith("__MACOSX"):
- logger.debug(f"Found module '{name}' in the zipfile at: {name}")
- result.append(name)
- if len(result) == 0:
- logger.debug(f"Module '__init__.py' not found in the zipfile @ {zip_path}.")
- return result
-
-
-def write_dict_to_json_file(data: dict, file_path: str) -> None:
- """
- Write a dictionary to a JSON file.
- Args:
- data (dict): Dictionary to write.
- file_path (str): Path to the file.
- """
- with open(file_path, "w") as file:
- json.dump(data, file, indent=4)
-
-
-def fetch_openai_plugins_manifest_and_spec(config: Config) -> dict:
- """
- Fetch the manifest for a list of OpenAI plugins.
- Args:
- urls (List): List of URLs to fetch.
- Returns:
- dict: per url dictionary of manifest and spec.
- """
- # TODO add directory scan
- manifests = {}
- for url in config.plugins_openai:
- openai_plugin_client_dir = f"{config.plugins_dir}/openai/{urlparse(url).netloc}"
- create_directory_if_not_exists(openai_plugin_client_dir)
- if not os.path.exists(f"{openai_plugin_client_dir}/ai-plugin.json"):
- try:
- response = requests.get(f"{url}/.well-known/ai-plugin.json")
- if response.status_code == 200:
- manifest = response.json()
- if manifest["schema_version"] != "v1":
- logger.warn(
- f"Unsupported manifest version: {manifest['schem_version']} for {url}"
- )
- continue
- if manifest["api"]["type"] != "openapi":
- logger.warn(
- f"Unsupported API type: {manifest['api']['type']} for {url}"
- )
- continue
- write_dict_to_json_file(
- manifest, f"{openai_plugin_client_dir}/ai-plugin.json"
- )
- else:
- logger.warn(
- f"Failed to fetch manifest for {url}: {response.status_code}"
- )
- except requests.exceptions.RequestException as e:
- logger.warn(f"Error while requesting manifest from {url}: {e}")
- else:
- logger.info(f"Manifest for {url} already exists")
- manifest = json.load(open(f"{openai_plugin_client_dir}/ai-plugin.json"))
- if not os.path.exists(f"{openai_plugin_client_dir}/openapi.json"):
- openapi_spec = openapi_python_client._get_document(
- url=manifest["api"]["url"], path=None, timeout=5
- )
- write_dict_to_json_file(
- openapi_spec, f"{openai_plugin_client_dir}/openapi.json"
- )
- else:
- logger.info(f"OpenAPI spec for {url} already exists")
- openapi_spec = json.load(open(f"{openai_plugin_client_dir}/openapi.json"))
- manifests[url] = {"manifest": manifest, "openapi_spec": openapi_spec}
- return manifests
-
-
-def create_directory_if_not_exists(directory_path: str) -> bool:
- """
- Create a directory if it does not exist.
- Args:
- directory_path (str): Path to the directory.
- Returns:
- bool: True if the directory was created, else False.
- """
- if not os.path.exists(directory_path):
- try:
- os.makedirs(directory_path)
- logger.debug(f"Created directory: {directory_path}")
- return True
- except OSError as e:
- logger.warn(f"Error creating directory {directory_path}: {e}")
- return False
- else:
- logger.info(f"Directory {directory_path} already exists")
- return True
-
-
-def initialize_openai_plugins(
- manifests_specs: dict, config: Config, debug: bool = False
-) -> dict:
- """
- Initialize OpenAI plugins.
- Args:
- manifests_specs (dict): per url dictionary of manifest and spec.
- config (Config): Config instance including plugins config
- debug (bool, optional): Enable debug logging. Defaults to False.
- Returns:
- dict: per url dictionary of manifest, spec and client.
- """
- openai_plugins_dir = f"{config.plugins_dir}/openai"
- if create_directory_if_not_exists(openai_plugins_dir):
- for url, manifest_spec in manifests_specs.items():
- openai_plugin_client_dir = f"{openai_plugins_dir}/{urlparse(url).hostname}"
- _meta_option = (openapi_python_client.MetaType.SETUP,)
- _config = OpenAPIConfig(
- **{
- "project_name_override": "client",
- "package_name_override": "client",
- }
- )
- prev_cwd = Path.cwd()
- os.chdir(openai_plugin_client_dir)
-
- if not os.path.exists("client"):
- client_results = openapi_python_client.create_new_client(
- url=manifest_spec["manifest"]["api"]["url"],
- path=None,
- meta=_meta_option,
- config=_config,
- )
- if client_results:
- logger.warn(
- f"Error creating OpenAPI client: {client_results[0].header} \n"
- f" details: {client_results[0].detail}"
- )
- continue
- spec = importlib.util.spec_from_file_location(
- "client", "client/client/client.py"
- )
- module = importlib.util.module_from_spec(spec)
-
- try:
- spec.loader.exec_module(module)
- finally:
- os.chdir(prev_cwd)
-
- client = module.Client(base_url=url)
- manifest_spec["client"] = client
- return manifests_specs
-
-
-def instantiate_openai_plugin_clients(
- manifests_specs_clients: dict, config: Config, debug: bool = False
-) -> dict:
- """
- Instantiates BaseOpenAIPlugin instances for each OpenAI plugin.
- Args:
- manifests_specs_clients (dict): per url dictionary of manifest, spec and client.
- config (Config): Config instance including plugins config
- debug (bool, optional): Enable debug logging. Defaults to False.
- Returns:
- plugins (dict): per url dictionary of BaseOpenAIPlugin instances.
-
- """
- plugins = {}
- for url, manifest_spec_client in manifests_specs_clients.items():
- plugins[url] = BaseOpenAIPlugin(manifest_spec_client)
- return plugins
-
-
-def scan_plugins(config: Config, debug: bool = False) -> List[AutoGPTPluginTemplate]:
- """Scan the plugins directory for plugins and loads them.
-
- Args:
- config (Config): Config instance including plugins config
- debug (bool, optional): Enable debug logging. Defaults to False.
-
- Returns:
- List[Tuple[str, Path]]: List of plugins.
- """
- loaded_plugins = []
- # Generic plugins
- plugins_path = Path(config.plugins_dir)
-
- plugins_config = config.plugins_config
- # Directory-based plugins
- for plugin_path in [f.path for f in os.scandir(config.plugins_dir) if f.is_dir()]:
- # Avoid going into __pycache__ or other hidden directories
- if plugin_path.startswith("__"):
- continue
-
- plugin_module_path = plugin_path.split(os.path.sep)
- plugin_module_name = plugin_module_path[-1]
- qualified_module_name = ".".join(plugin_module_path)
-
- __import__(qualified_module_name)
- plugin = sys.modules[qualified_module_name]
-
- if not plugins_config.is_enabled(plugin_module_name):
- logger.warn(
- f"Plugin folder {plugin_module_name} found but not configured. If this is a legitimate plugin, please add it to plugins_config.yaml (key: {plugin_module_name})."
- )
- continue
-
- for _, class_obj in inspect.getmembers(plugin):
- if (
- hasattr(class_obj, "_abc_impl")
- and AutoGPTPluginTemplate in class_obj.__bases__
- ):
- loaded_plugins.append(class_obj())
-
- # Zip-based plugins
- for plugin in plugins_path.glob("*.zip"):
- if moduleList := inspect_zip_for_modules(str(plugin), debug):
- for module in moduleList:
- plugin = Path(plugin)
- module = Path(module)
- logger.debug(f"Zipped Plugin: {plugin}, Module: {module}")
- zipped_package = zipimporter(str(plugin))
- zipped_module = zipped_package.load_module(str(module.parent))
-
- for key in dir(zipped_module):
- if key.startswith("__"):
- continue
-
- a_module = getattr(zipped_module, key)
- if not inspect.isclass(a_module):
- continue
-
- if (
- issubclass(a_module, AutoGPTPluginTemplate)
- and a_module.__name__ != "AutoGPTPluginTemplate"
- ):
- plugin_name = a_module.__name__
- plugin_configured = plugins_config.get(plugin_name) is not None
- plugin_enabled = plugins_config.is_enabled(plugin_name)
-
- if plugin_configured and plugin_enabled:
- logger.debug(
- f"Loading plugin {plugin_name}. Enabled in plugins_config.yaml."
- )
- loaded_plugins.append(a_module())
- elif plugin_configured and not plugin_enabled:
- logger.debug(
- f"Not loading plugin {plugin_name}. Disabled in plugins_config.yaml."
- )
- elif not plugin_configured:
- logger.warn(
- f"Not loading plugin {plugin_name}. Key '{plugin_name}' was not found in plugins_config.yaml. "
- f"Zipped plugins should use the class name ({plugin_name}) as the key."
- )
- else:
- if a_module.__name__ != "AutoGPTPluginTemplate":
- logger.debug(
- f"Skipping '{key}' because it doesn't subclass AutoGPTPluginTemplate."
- )
-
- # OpenAI plugins
- if config.plugins_openai:
- manifests_specs = fetch_openai_plugins_manifest_and_spec(config)
- if manifests_specs.keys():
- manifests_specs_clients = initialize_openai_plugins(
- manifests_specs, config, debug
- )
- for url, openai_plugin_meta in manifests_specs_clients.items():
- if not plugins_config.is_enabled(url):
- logger.warn(
- f"OpenAI Plugin {plugin_module_name} found but not configured"
- )
- continue
-
- plugin = BaseOpenAIPlugin(openai_plugin_meta)
- loaded_plugins.append(plugin)
-
- if loaded_plugins:
- logger.info(f"\nPlugins found: {len(loaded_plugins)}\n" "--------------------")
- for plugin in loaded_plugins:
- logger.info(f"{plugin._name}: {plugin._version} - {plugin._description}")
- return loaded_plugins