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>
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
from unittest.mock import MagicMock
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import httpx
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import pytest
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from arcade_tdk.errors import ToolExecutionError
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from arcade_spotify.tools.models import SearchType
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from arcade_spotify.tools.search import search
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from arcade_spotify.tools.utils import get_url
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@pytest.mark.asyncio
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async def test_search_success(tool_context, mock_httpx_client, sample_track):
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sample_tracks = []
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for i in range(4):
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sample_track = sample_track.copy()
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sample_track["id"] = f"{i}"
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sample_tracks.append(sample_track)
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search_response = {
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"tracks": {
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"href": "https://api.spotify.com/v1/me/shows?offset=0&limit=20",
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"limit": 20,
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"next": "https://api.spotify.com/v1/me/shows?offset=1&limit=1",
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"offset": 0,
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"previous": "https://api.spotify.com/v1/me/shows?offset=1&limit=1",
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"total": 4,
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"items": sample_tracks,
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},
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}
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mock_response = MagicMock()
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mock_response.status_code = 200
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mock_response.json.return_value = search_response
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mock_httpx_client.request.return_value = mock_response
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result = await search(tool_context, "test", [SearchType.TRACK], 4)
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assert result == search_response
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mock_httpx_client.request.assert_called_once_with(
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"GET",
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get_url("search", q="test"),
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headers={"Authorization": f"Bearer {tool_context.authorization.token}"},
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params={"q": "test", "type": SearchType.TRACK.value, "limit": 4},
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json=None,
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)
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@pytest.mark.asyncio
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async def test_search_rate_limit_error(tool_context, mock_httpx_client):
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mock_response = MagicMock()
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mock_response = httpx.HTTPStatusError(
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"Too Many Requests", request=MagicMock(), response=MagicMock(status_code=429)
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)
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mock_httpx_client.request.side_effect = mock_response
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with pytest.raises(ToolExecutionError):
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await search(tool_context, "test", [SearchType.TRACK], 4)
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