108 lines
2.6 KiB
Python
108 lines
2.6 KiB
Python
from __future__ import annotations
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import os
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import uuid
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from pathlib import Path
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import pytest
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from forge.config.ai_profile import AIProfile
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from forge.file_storage.local import (
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FileStorage,
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FileStorageConfiguration,
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LocalFileStorage,
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)
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from forge.llm.providers import MultiProvider
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from forge.logging.config import configure_logging
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from autogpt.agents.agent import Agent, AgentConfiguration, AgentSettings
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from autogpt.app.config import AppConfig, ConfigBuilder
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from autogpt.app.main import _configure_llm_provider
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pytest_plugins = [
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"tests.integration.agent_factory",
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]
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@pytest.fixture()
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def tmp_project_root(tmp_path: Path) -> Path:
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return tmp_path
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@pytest.fixture()
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def app_data_dir(tmp_project_root: Path) -> Path:
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dir = tmp_project_root / "data"
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dir.mkdir(parents=True, exist_ok=True)
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return dir
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@pytest.fixture()
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def storage(app_data_dir: Path) -> FileStorage:
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storage = LocalFileStorage(
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FileStorageConfiguration(root=app_data_dir, restrict_to_root=False)
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)
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storage.initialize()
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return storage
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@pytest.fixture(scope="function")
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def config(
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tmp_project_root: Path,
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app_data_dir: Path,
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):
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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 = ConfigBuilder.build_config_from_env(project_root=tmp_project_root)
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config.app_data_dir = app_data_dir
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config.noninteractive_mode = True
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yield config
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@pytest.fixture(scope="session")
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def setup_logger():
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configure_logging(
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debug=True,
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log_dir=Path(__file__).parent / "logs",
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plain_console_output=True,
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)
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@pytest.fixture
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def llm_provider(config: AppConfig) -> MultiProvider:
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return _configure_llm_provider(config)
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@pytest.fixture
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def agent(
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config: AppConfig, llm_provider: MultiProvider, storage: FileStorage
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) -> Agent:
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ai_profile = AIProfile(
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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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agent_settings = AgentSettings(
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name=Agent.default_settings.name,
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description=Agent.default_settings.description,
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agent_id=f"AutoGPT-test-agent-{str(uuid.uuid4())[:8]}",
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ai_profile=ai_profile,
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config=AgentConfiguration(
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fast_llm=config.fast_llm,
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smart_llm=config.smart_llm,
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allow_fs_access=not config.restrict_to_workspace,
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use_functions_api=config.openai_functions,
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),
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history=Agent.default_settings.history.model_copy(deep=True),
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)
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agent = Agent(
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settings=agent_settings,
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llm_provider=llm_provider,
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file_storage=storage,
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app_config=config,
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)
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return agent
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