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https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-24 01:14:22 +01:00
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@@ -82,6 +82,7 @@ def main(
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from autogpt.plugins import scan_plugins
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from autogpt.prompts.prompt import construct_main_ai_config
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from autogpt.utils import get_latest_bulletin
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if ctx.invoked_subcommand is None:
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cfg = Config()
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# TODO: fill in llm values here
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@@ -61,7 +61,7 @@ class BaseOpenAIPlugin(AutoGPTPluginTemplate):
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return False
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def on_planning(
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self, prompt: PromptGenerator, messages: List[Message]
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self, prompt: PromptGenerator, messages: List[Message]
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) -> Optional[str]:
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"""This method is called before the planning chat completion is done.
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Args:
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@@ -142,7 +142,7 @@ class BaseOpenAIPlugin(AutoGPTPluginTemplate):
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return False
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def pre_command(
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self, command_name: str, arguments: Dict[str, Any]
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self, command_name: str, arguments: Dict[str, Any]
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) -> Tuple[str, Dict[str, Any]]:
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"""This method is called before the command is executed.
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Args:
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@@ -171,7 +171,7 @@ class BaseOpenAIPlugin(AutoGPTPluginTemplate):
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pass
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def can_handle_chat_completion(
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self, messages: Dict[Any, Any], model: str, temperature: float, max_tokens: int
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self, messages: Dict[Any, Any], model: str, temperature: float, max_tokens: int
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) -> bool:
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"""This method is called to check that the plugin can
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handle the chat_completion method.
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@@ -185,7 +185,7 @@ class BaseOpenAIPlugin(AutoGPTPluginTemplate):
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return False
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def handle_chat_completion(
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self, messages: List[Message], model: str, temperature: float, max_tokens: int
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self, messages: List[Message], model: str, temperature: float, max_tokens: int
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) -> str:
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"""This method is called when the chat completion is done.
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Args:
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@@ -47,7 +47,7 @@ def write_dict_to_json_file(data: dict, file_path: str) -> None:
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data (dict): Dictionary to write.
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file_path (str): Path to the file.
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"""
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with open(file_path, 'w') as file:
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with open(file_path, "w") as file:
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json.dump(data, file, indent=4)
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@@ -64,35 +64,42 @@ def fetch_openai_plugins_manifest_and_spec(cfg: Config) -> dict:
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for url in cfg.plugins_openai:
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openai_plugin_client_dir = f"{cfg.plugins_dir}/openai/{urlparse(url).netloc}"
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create_directory_if_not_exists(openai_plugin_client_dir)
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if not os.path.exists(f'{openai_plugin_client_dir}/ai-plugin.json'):
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if not os.path.exists(f"{openai_plugin_client_dir}/ai-plugin.json"):
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try:
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response = requests.get(f"{url}/.well-known/ai-plugin.json")
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if response.status_code == 200:
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manifest = response.json()
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if manifest["schema_version"] != "v1":
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print(f"Unsupported manifest version: {manifest['schem_version']} for {url}")
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print(
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f"Unsupported manifest version: {manifest['schem_version']} for {url}"
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)
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continue
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if manifest["api"]["type"] != "openapi":
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print(f"Unsupported API type: {manifest['api']['type']} for {url}")
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print(
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f"Unsupported API type: {manifest['api']['type']} for {url}"
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)
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continue
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write_dict_to_json_file(manifest, f'{openai_plugin_client_dir}/ai-plugin.json')
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write_dict_to_json_file(
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manifest, f"{openai_plugin_client_dir}/ai-plugin.json"
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)
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else:
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print(f"Failed to fetch manifest for {url}: {response.status_code}")
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except requests.exceptions.RequestException as e:
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print(f"Error while requesting manifest from {url}: {e}")
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else:
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print(f"Manifest for {url} already exists")
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manifest = json.load(open(f'{openai_plugin_client_dir}/ai-plugin.json'))
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if not os.path.exists(f'{openai_plugin_client_dir}/openapi.json'):
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openapi_spec = openapi_python_client._get_document(url=manifest["api"]["url"], path=None, timeout=5)
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write_dict_to_json_file(openapi_spec, f'{openai_plugin_client_dir}/openapi.json')
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manifest = json.load(open(f"{openai_plugin_client_dir}/ai-plugin.json"))
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if not os.path.exists(f"{openai_plugin_client_dir}/openapi.json"):
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openapi_spec = openapi_python_client._get_document(
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url=manifest["api"]["url"], path=None, timeout=5
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)
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write_dict_to_json_file(
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openapi_spec, f"{openai_plugin_client_dir}/openapi.json"
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)
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else:
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print(f"OpenAPI spec for {url} already exists")
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openapi_spec = json.load(open(f'{openai_plugin_client_dir}/openapi.json'))
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manifests[url] = {
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'manifest': manifest,
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'openapi_spec': openapi_spec
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}
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openapi_spec = json.load(open(f"{openai_plugin_client_dir}/openapi.json"))
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manifests[url] = {"manifest": manifest, "openapi_spec": openapi_spec}
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return manifests
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@@ -117,7 +124,9 @@ def create_directory_if_not_exists(directory_path: str) -> bool:
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return True
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def initialize_openai_plugins(manifests_specs: dict, cfg: Config, debug: bool = False) -> dict:
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def initialize_openai_plugins(
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manifests_specs: dict, cfg: Config, debug: bool = False
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) -> dict:
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"""
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Initialize OpenAI plugins.
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Args:
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@@ -127,39 +136,47 @@ def initialize_openai_plugins(manifests_specs: dict, cfg: Config, debug: bool =
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Returns:
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dict: per url dictionary of manifest, spec and client.
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"""
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openai_plugins_dir = f'{cfg.plugins_dir}/openai'
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openai_plugins_dir = f"{cfg.plugins_dir}/openai"
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if create_directory_if_not_exists(openai_plugins_dir):
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for url, manifest_spec in manifests_specs.items():
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openai_plugin_client_dir = f'{openai_plugins_dir}/{urlparse(url).hostname}'
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_meta_option = openapi_python_client.MetaType.SETUP,
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_config = OpenAPIConfig(**{
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'project_name_override': 'client',
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'package_name_override': 'client',
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})
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openai_plugin_client_dir = f"{openai_plugins_dir}/{urlparse(url).hostname}"
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_meta_option = (openapi_python_client.MetaType.SETUP,)
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_config = OpenAPIConfig(
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**{
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"project_name_override": "client",
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"package_name_override": "client",
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}
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)
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prev_cwd = Path.cwd()
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os.chdir(openai_plugin_client_dir)
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Path('ai-plugin.json')
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if not os.path.exists('client'):
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Path("ai-plugin.json")
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if not os.path.exists("client"):
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client_results = openapi_python_client.create_new_client(
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url=manifest_spec['manifest']['api']['url'],
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url=manifest_spec["manifest"]["api"]["url"],
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path=None,
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meta=_meta_option,
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config=_config,
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)
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if client_results:
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print(f"Error creating OpenAPI client: {client_results[0].header} \n"
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f" details: {client_results[0].detail}")
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print(
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f"Error creating OpenAPI client: {client_results[0].header} \n"
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f" details: {client_results[0].detail}"
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)
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continue
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spec = importlib.util.spec_from_file_location('client', 'client/client/client.py')
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spec = importlib.util.spec_from_file_location(
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"client", "client/client/client.py"
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)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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client = module.Client(base_url=url)
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os.chdir(prev_cwd)
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manifest_spec['client'] = client
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manifest_spec["client"] = client
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return manifests_specs
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def instantiate_openai_plugin_clients(manifests_specs_clients: dict, cfg: Config, debug: bool = False) -> dict:
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def instantiate_openai_plugin_clients(
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manifests_specs_clients: dict, cfg: Config, debug: bool = False
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) -> dict:
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"""
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Instantiates BaseOpenAIPlugin instances for each OpenAI plugin.
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Args:
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@@ -203,16 +220,18 @@ def scan_plugins(cfg: Config, debug: bool = False) -> List[AutoGPTPluginTemplate
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a_module = getattr(zipped_module, key)
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a_keys = dir(a_module)
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if (
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"_abc_impl" in a_keys
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and a_module.__name__ != "AutoGPTPluginTemplate"
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and blacklist_whitelist_check(a_module.__name__, cfg)
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"_abc_impl" in a_keys
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and a_module.__name__ != "AutoGPTPluginTemplate"
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and blacklist_whitelist_check(a_module.__name__, cfg)
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):
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loaded_plugins.append(a_module())
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# OpenAI plugins
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if cfg.plugins_openai:
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manifests_specs = fetch_openai_plugins_manifest_and_spec(cfg)
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if manifests_specs.keys():
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manifests_specs_clients = initialize_openai_plugins(manifests_specs, cfg, debug)
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manifests_specs_clients = initialize_openai_plugins(
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manifests_specs, cfg, debug
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)
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for url, openai_plugin_meta in manifests_specs_clients.items():
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if blacklist_whitelist_check(url, cfg):
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plugin = BaseOpenAIPlugin(openai_plugin_meta)
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@@ -19,10 +19,10 @@ def dummy_plugin():
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"manifest": {
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"name_for_model": "Dummy",
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"schema_version": "1.0",
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"description_for_model": "A dummy plugin for testing purposes"
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"description_for_model": "A dummy plugin for testing purposes",
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},
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"client": None,
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"openapi_spec": None
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"openapi_spec": None,
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}
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return DummyPlugin(manifests_specs_clients)
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@@ -10,11 +10,11 @@ from autogpt.plugins import (
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PLUGINS_TEST_DIR = "tests/unit/data/test_plugins"
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PLUGIN_TEST_ZIP_FILE = "Auto-GPT-Plugin-Test-master.zip"
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PLUGIN_TEST_INIT_PY = "Auto-GPT-Plugin-Test-master/src/auto_gpt_vicuna/__init__.py"
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PLUGIN_TEST_OPENAI = 'https://weathergpt.vercel.app/'
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PLUGIN_TEST_OPENAI = "https://weathergpt.vercel.app/"
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def test_inspect_zip_for_module():
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result = inspect_zip_for_module(str(f'{PLUGINS_TEST_DIR}/{PLUGIN_TEST_ZIP_FILE}'))
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result = inspect_zip_for_module(str(f"{PLUGINS_TEST_DIR}/{PLUGIN_TEST_ZIP_FILE}"))
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assert result == PLUGIN_TEST_INIT_PY
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@@ -27,37 +27,56 @@ def mock_config_blacklist_whitelist_check():
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return MockConfig()
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def test_blacklist_whitelist_check_blacklist(mock_config_blacklist_whitelist_check,
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monkeypatch):
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def test_blacklist_whitelist_check_blacklist(
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mock_config_blacklist_whitelist_check, monkeypatch
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):
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monkeypatch.setattr("builtins.input", lambda _: "y")
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assert not blacklist_whitelist_check("BadPlugin", mock_config_blacklist_whitelist_check)
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assert not blacklist_whitelist_check(
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"BadPlugin", mock_config_blacklist_whitelist_check
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)
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def test_blacklist_whitelist_check_whitelist(mock_config_blacklist_whitelist_check, monkeypatch):
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def test_blacklist_whitelist_check_whitelist(
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mock_config_blacklist_whitelist_check, monkeypatch
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):
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monkeypatch.setattr("builtins.input", lambda _: "y")
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assert blacklist_whitelist_check("GoodPlugin", mock_config_blacklist_whitelist_check)
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assert blacklist_whitelist_check(
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"GoodPlugin", mock_config_blacklist_whitelist_check
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)
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def test_blacklist_whitelist_check_user_input_yes(mock_config_blacklist_whitelist_check, monkeypatch):
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def test_blacklist_whitelist_check_user_input_yes(
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mock_config_blacklist_whitelist_check, monkeypatch
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):
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monkeypatch.setattr("builtins.input", lambda _: "y")
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assert blacklist_whitelist_check("UnknownPlugin", mock_config_blacklist_whitelist_check)
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assert blacklist_whitelist_check(
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"UnknownPlugin", mock_config_blacklist_whitelist_check
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)
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def test_blacklist_whitelist_check_user_input_no(mock_config_blacklist_whitelist_check, monkeypatch):
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def test_blacklist_whitelist_check_user_input_no(
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mock_config_blacklist_whitelist_check, monkeypatch
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):
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monkeypatch.setattr("builtins.input", lambda _: "n")
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assert not blacklist_whitelist_check("UnknownPlugin", mock_config_blacklist_whitelist_check)
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assert not blacklist_whitelist_check(
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"UnknownPlugin", mock_config_blacklist_whitelist_check
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)
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def test_blacklist_whitelist_check_user_input_invalid(mock_config_blacklist_whitelist_check, monkeypatch):
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def test_blacklist_whitelist_check_user_input_invalid(
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mock_config_blacklist_whitelist_check, monkeypatch
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):
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monkeypatch.setattr("builtins.input", lambda _: "invalid")
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assert not blacklist_whitelist_check("UnknownPlugin", mock_config_blacklist_whitelist_check)
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assert not blacklist_whitelist_check(
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"UnknownPlugin", mock_config_blacklist_whitelist_check
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)
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@pytest.fixture
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def config_with_plugins():
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cfg = Config()
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cfg.plugins_dir = PLUGINS_TEST_DIR
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cfg.plugins_openai = ['https://weathergpt.vercel.app/']
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cfg.plugins_openai = ["https://weathergpt.vercel.app/"]
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return cfg
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