arcade-mcp/toolkits/search/arcade_search/tools/google_jobs.py
Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### 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>
2025-06-11 16:48:17 -07:00

65 lines
2 KiB
Python

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