### 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>
65 lines
2 KiB
Python
65 lines
2 KiB
Python
from typing import Annotated
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from arcade_tdk import ToolContext, tool
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from arcade_search.constants import DEFAULT_GOOGLE_JOBS_LANGUAGE
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from arcade_search.exceptions import LanguageNotFoundError
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from arcade_search.google_data import LANGUAGE_CODES
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from arcade_search.utils import call_serpapi, prepare_params
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@tool(requires_secrets=["SERP_API_KEY"])
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async def search_jobs(
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context: ToolContext,
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query: Annotated[
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str,
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"Search query. Provide a job title, company name, and/or any keywords in general "
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"representing what kind of jobs the user is looking for. E.g. 'software engineer' "
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"or 'data analyst at Apple'.",
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],
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location: Annotated[
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str | None,
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"Location to search for jobs. E.g. 'United States' or 'New York, NY'. Defaults to None.",
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] = None,
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language: Annotated[
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str,
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"2-character language code to use in the Google Jobs search. "
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f"E.g. 'en' for English. Defaults to '{DEFAULT_GOOGLE_JOBS_LANGUAGE}'.",
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] = DEFAULT_GOOGLE_JOBS_LANGUAGE,
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limit: Annotated[
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int,
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"Maximum number of results to retrieve. Defaults to 10 (max supported by the API).",
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] = 10,
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next_page_token: Annotated[
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str | None,
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"Next page token to paginate results. Defaults to None (start from the first page).",
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] = None,
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) -> Annotated[dict, "Google Jobs results"]:
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"""Search Google Jobs using SerpAPI."""
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if language not in LANGUAGE_CODES:
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raise LanguageNotFoundError(language)
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params = prepare_params(
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engine="google_jobs",
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q=query,
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hl=language,
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)
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if location:
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params["location"] = location
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if next_page_token:
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params["next_page_token"] = next_page_token
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results = call_serpapi(context, params)
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jobs_results = results.get("jobs_results", [])
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try:
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next_page_token = results["serpapi_pagination"]["next_page_token"]
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except KeyError:
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next_page_token = None
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return {
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"jobs": jobs_results[:limit],
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"next_page_token": next_page_token,
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}
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