b6b4cd0a4c
### Overview Major restructuring from monolithic `arcade-ai` package to modular library architecture with standardized uv-based dependency management.  ### New Package Structure - **`arcade-tdk`** - Lightweight toolkit development kit (core decorators, auth) - **`arcade-core`** - Core execution engine and catalog functionality - **`arcade-serve`** - FastAPI/MCP server components - **`arcade-ai`** - Meta package that includes CLI functionality. Optionally include evals via the `evals` extra. Optionally include all packages via the `all` extra. ### Key Benefits - **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2 deps) vs full `arcade-ai` (~30+ deps) - **Faster Builds**: uv provides 10-100x faster dependency resolution and installation - **Better Modularity**: Clear separation of concerns, consumers import only what they need - **Standard Tooling**: Eliminates custom poetry scripts, uses standard Python packaging ### Migration Impact - All 20 toolkits converted from poetry → uv with `arcade-tdk` dependencies plus `arcade-ai[evals]` and `arcade-serve` dev dependencies. When developing locally, devs should install toolkits via `make install-local`. - Modern Python 3.10+ type hints throughout - Standardized build system with hatchling backend - Enhanced Makefile with robust toolkit management commands - Removed `arcade dev` CLI command - Reduce the number of files created by `arcade new` and add an option to not generate a tests and evals folder. This foundation enables faster development cycles and cleaner dependency chains for the growing toolkit ecosystem. ### Todo After this PR is merged - [ ] Post-merge workflow(s) (release & publish containers, etc) - [ ] Release order plan. @EricGustin suggests releasing in the following order: 1. `arcade-core` version 0.1.0 2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0 3. `arcade-ai` version 2.0.0 4. Patch release for all toolkits (all changes in toolkits are internal refactors) - [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318) --------- Co-authored-by: Eric Gustin <eric@arcade.dev> Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
from unittest.mock import MagicMock, patch
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import pytest
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from arcade_tdk import ToolContext, ToolSecretItem
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from arcade_tdk.errors import ToolExecutionError
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from arcade_code_sandbox.tools.e2b import create_static_matplotlib_chart, run_code
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from arcade_code_sandbox.tools.models import E2BSupportedLanguage
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@pytest.fixture
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def mock_sandbox():
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with patch("arcade_code_sandbox.tools.e2b.Sandbox") as mock:
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yield mock.return_value.__enter__.return_value
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@pytest.fixture
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def mock_context():
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return ToolContext(secrets=[ToolSecretItem(key="e2b_api_key", value="fake_api_key")])
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def test_run_code_success(mock_sandbox, mock_context):
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mock_execution = MagicMock()
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mock_execution.to_json.return_value = '{"result": "success"}'
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mock_sandbox.run_code.return_value = mock_execution
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result = run_code(mock_context, "print('Hello, World!')", E2BSupportedLanguage.PYTHON)
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assert result == '{"result": "success"}'
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def test_run_code_error(mock_sandbox, mock_context):
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mock_execution = MagicMock()
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mock_execution.to_json.side_effect = ToolExecutionError("Execution failed")
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mock_sandbox.run_code.return_value = mock_execution
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with pytest.raises(ToolExecutionError, match="Execution failed"):
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run_code(mock_context, "print('Hello, World!')", E2BSupportedLanguage.PYTHON)
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def test_create_static_matplotlib_chart_success(mock_sandbox, mock_context):
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mock_execution = MagicMock()
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mock_execution.results = [MagicMock(png="base64encodedimage")]
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mock_execution.logs.to_json.return_value = '{"logs": "log data"}'
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mock_execution.error = None
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mock_sandbox.run_code.return_value = mock_execution
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result = create_static_matplotlib_chart(mock_context, "import matplotlib.pyplot as plt")
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assert result == {
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"base64_image": "base64encodedimage",
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"logs": '{"logs": "log data"}',
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"error": None,
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}
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def test_create_static_matplotlib_chart_error(mock_sandbox, mock_context):
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mock_execution = MagicMock()
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mock_execution.results = []
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mock_execution.logs.to_json.return_value = '{"logs": "log data"}'
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mock_execution.error.to_json.return_value = '{"error": "some error"}'
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mock_sandbox.run_code.return_value = mock_execution
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result = create_static_matplotlib_chart(mock_context, "import matplotlib.pyplot as plt")
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assert result == {
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"base64_image": None,
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"logs": '{"logs": "log data"}',
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"error": '{"error": "some error"}',
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}
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