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https://github.com/aljazceru/Auto-GPT.git
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9cf35010c6
* Fix Config model initialization * Fix basedir determination in install_plugin_dependencies * Add logging to install_plugin_dependencies() --------- Co-authored-by: collijk <collijk@uw.edu>
123 lines
3.5 KiB
Python
123 lines
3.5 KiB
Python
import os
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from pathlib import Path
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from tempfile import TemporaryDirectory
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import pytest
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import yaml
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from pytest_mock import MockerFixture
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from autogpt.agent.agent import Agent
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from autogpt.config import AIConfig, Config, ConfigBuilder
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from autogpt.config.ai_config import AIConfig
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from autogpt.llm.api_manager import ApiManager
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from autogpt.logs import TypingConsoleHandler
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from autogpt.memory.vector import get_memory
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from autogpt.models.command_registry import CommandRegistry
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from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
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from autogpt.workspace import Workspace
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pytest_plugins = [
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"tests.integration.agent_factory",
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"tests.integration.memory.utils",
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"tests.vcr",
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]
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@pytest.fixture()
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def workspace_root(tmp_path: Path) -> Path:
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return tmp_path / "home/users/monty/auto_gpt_workspace"
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@pytest.fixture()
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def workspace(workspace_root: Path) -> Workspace:
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workspace_root = Workspace.make_workspace(workspace_root)
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return Workspace(workspace_root, restrict_to_workspace=True)
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@pytest.fixture
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def temp_plugins_config_file():
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"""Create a plugins_config.yaml file in a temp directory so that it doesn't mess with existing ones"""
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config_directory = TemporaryDirectory()
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config_file = os.path.join(config_directory.name, "plugins_config.yaml")
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with open(config_file, "w+") as f:
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f.write(yaml.dump({}))
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yield config_file
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@pytest.fixture()
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def config(
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temp_plugins_config_file: str, mocker: MockerFixture, workspace: Workspace
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) -> Config:
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config = ConfigBuilder.build_config_from_env()
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if not os.environ.get("OPENAI_API_KEY"):
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os.environ["OPENAI_API_KEY"] = "sk-dummy"
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config.plugins_dir = "tests/unit/data/test_plugins"
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config.plugins_config_file = temp_plugins_config_file
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# avoid circular dependency
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from autogpt.plugins.plugins_config import PluginsConfig
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config.plugins_config = PluginsConfig.load_config(
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plugins_config_file=config.plugins_config_file,
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plugins_denylist=config.plugins_denylist,
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plugins_allowlist=config.plugins_allowlist,
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)
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# Do a little setup and teardown since the config object is a singleton
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mocker.patch.multiple(
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config,
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workspace_path=workspace.root,
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file_logger_path=workspace.get_path("file_logger.txt"),
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)
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yield config
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@pytest.fixture()
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def api_manager() -> ApiManager:
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if ApiManager in ApiManager._instances:
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del ApiManager._instances[ApiManager]
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return ApiManager()
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@pytest.fixture(autouse=True)
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def patch_emit(monkeypatch):
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# convert plain_output to a boolean
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if bool(os.environ.get("PLAIN_OUTPUT")):
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def quick_emit(self, record: str):
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print(self.format(record))
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monkeypatch.setattr(TypingConsoleHandler, "emit", quick_emit)
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@pytest.fixture
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def agent(config: Config, workspace: Workspace) -> Agent:
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ai_config = AIConfig(
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ai_name="Base",
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ai_role="A base AI",
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ai_goals=[],
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)
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command_registry = CommandRegistry()
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ai_config.command_registry = command_registry
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config.memory_backend = "json_file"
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memory_json_file = get_memory(config)
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memory_json_file.clear()
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system_prompt = ai_config.construct_full_prompt(config)
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return Agent(
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ai_name=ai_config.ai_name,
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memory=memory_json_file,
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command_registry=command_registry,
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ai_config=ai_config,
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config=config,
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next_action_count=0,
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system_prompt=system_prompt,
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triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
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workspace_directory=workspace.root,
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)
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