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>
78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
from unittest.mock import patch
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import pytest
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from arcade_tdk.errors import RetryableToolError
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from arcade_asana.utils import (
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get_project_by_name_or_raise_error,
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get_tag_ids,
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get_unique_workspace_id_or_raise_error,
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)
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@pytest.mark.asyncio
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@patch("arcade_asana.utils.find_tags_by_name")
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async def test_get_tag_ids(mock_find_tags_by_name, mock_context):
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assert await get_tag_ids(mock_context, None) is None
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assert await get_tag_ids(mock_context, ["1234567890", "1234567891"]) == [
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"1234567890",
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"1234567891",
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]
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mock_find_tags_by_name.return_value = {
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"matches": {
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"tags": [
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{"id": "1234567890", "name": "My Tag"},
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{"id": "1234567891", "name": "My Other Tag"},
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]
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},
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"not_found": {"tags": []},
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}
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assert await get_tag_ids(mock_context, ["My Tag", "My Other Tag"]) == [
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"1234567890",
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"1234567891",
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]
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@pytest.mark.asyncio
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@patch("arcade_asana.tools.workspaces.list_workspaces")
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async def test_get_unique_workspace_id_or_raise_error(mock_list_workspaces, mock_context):
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mock_list_workspaces.return_value = {
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"workspaces": [
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{"id": "1234567890", "name": "My Workspace"},
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]
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}
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assert await get_unique_workspace_id_or_raise_error(mock_context) == "1234567890"
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mock_list_workspaces.return_value = {
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"workspaces": [
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{"id": "1234567890", "name": "My Workspace"},
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{"id": "1234567891", "name": "My Other Workspace"},
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]
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}
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with pytest.raises(RetryableToolError) as exc_info:
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await get_unique_workspace_id_or_raise_error(mock_context)
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assert "My Other Workspace" in exc_info.value.additional_prompt_content
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@pytest.mark.asyncio
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@patch("arcade_asana.utils.find_projects_by_name")
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async def test_get_project_by_name_or_raise_error(mock_find_projects_by_name, mock_context):
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project1 = {"id": "1234567890", "name": "My Project"}
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mock_find_projects_by_name.return_value = {
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"matches": {"projects": [project1], "count": 1},
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"not_matched": {"projects": [], "count": 0},
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}
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assert await get_project_by_name_or_raise_error(mock_context, project1["name"]) == project1
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mock_find_projects_by_name.return_value = {
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"matches": {"projects": [], "count": 0},
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"not_matched": {"projects": [project1], "count": 1},
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}
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with pytest.raises(RetryableToolError) as exc_info:
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await get_project_by_name_or_raise_error(mock_context, "Inexistent Project")
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assert project1["name"] in exc_info.value.additional_prompt_content
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