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>
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
from unittest.mock import patch
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import pytest
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from arcade_tdk import ToolContext, ToolSecretItem
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from arcade_search.exceptions import LanguageNotFoundError
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from arcade_search.tools.google_jobs import search_jobs
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@pytest.fixture
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def mock_context():
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return ToolContext(secrets=[ToolSecretItem(key="serp_api_key", value="fake_api_key")])
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@pytest.mark.asyncio
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@patch("arcade_search.utils.SerpClient")
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async def test_search_jobs_success(mock_serp_client, mock_context):
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mock_serp_client_instance = mock_serp_client.return_value
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mock_serp_client_instance.search().as_dict.return_value = {
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"jobs_results": [
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{"title": "Job 1", "link": "http://example.com/1"},
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{"title": "Job 2", "link": "http://example.com/2"},
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]
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}
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result = await search_jobs(mock_context, "engenheiro de software", "Brazil", "pt", 10, None)
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assert result == {
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"jobs": [
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{"title": "Job 1", "link": "http://example.com/1"},
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{"title": "Job 2", "link": "http://example.com/2"},
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],
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"next_page_token": None,
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}
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@pytest.mark.asyncio
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@patch("arcade_search.utils.SerpClient")
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async def test_search_jobs_success_with_custom_language_and_location(
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mock_serp_client, mock_context
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):
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mock_serp_client_instance = mock_serp_client.return_value
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mock_serp_client_instance.search().as_dict.return_value = {
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"jobs_results": [
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{"title": "Job 1", "link": "http://example.com/1"},
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{"title": "Job 2", "link": "http://example.com/2"},
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]
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}
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result = await search_jobs(
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context=mock_context,
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query="engenheiro de software",
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location="Brazil",
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language="pt",
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limit=10,
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next_page_token=None,
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)
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mock_serp_client_instance.search.assert_called_with({
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"engine": "google_jobs",
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"q": "engenheiro de software",
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"hl": "pt",
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"location": "Brazil",
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})
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assert result == {
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"jobs": [
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{"title": "Job 1", "link": "http://example.com/1"},
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{"title": "Job 2", "link": "http://example.com/2"},
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],
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"next_page_token": None,
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}
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@pytest.mark.asyncio
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@patch("arcade_search.utils.SerpClient")
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async def test_search_jobs_language_not_found_error(mock_serp_client, mock_context):
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mock_serp_client_instance = mock_serp_client.return_value
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mock_serp_client_instance.search().as_dict.return_value = {
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"jobs_results": [
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{"title": "Job 1", "link": "http://example.com/1"},
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{"title": "Job 2", "link": "http://example.com/2"},
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]
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}
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with pytest.raises(LanguageNotFoundError):
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await search_jobs(
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context=mock_context,
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query="backend engineer",
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language="invalid_language",
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)
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