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>
45 lines
1.8 KiB
Python
45 lines
1.8 KiB
Python
from typing import Annotated
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from arcade_tdk import ToolContext, tool
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from arcade_tdk.auth import Spotify
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from arcade_spotify.tools.models import SearchType
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from arcade_spotify.tools.utils import (
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get_url,
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send_spotify_request,
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)
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@tool(requires_auth=Spotify())
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async def search(
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context: ToolContext,
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q: Annotated[str, "The search query"],
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types: Annotated[list[SearchType], "The types of results to return"],
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limit: Annotated[int, "The maximum number of results to return"] = 1,
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) -> Annotated[dict, "A list of artists matching the search query"]:
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"""Search Spotify catalog information
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Explanation of the q parameter:
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You can narrow down your search using field filters.
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Available filters are album, artist, track, year, upc, tag:hipster, tag:new, isrc, and
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genre. Each field filter only applies to certain result types.
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The artist and year filters can be used while searching albums, artists and tracks.
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You can filter on a single year or a range (e.g. 1955-1960).
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The album filter can be used while searching albums and tracks.
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The genre filter can be used while searching artists and tracks.
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The isrc and track filters can be used while searching tracks.
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The upc, tag:new and tag:hipster filters can only be used while searching albums.
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The tag:new filter will return albums released in the past two weeks and tag:hipster
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can be used to return only albums with the lowest 10% popularity.
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Example: q="remaster track:Doxy artist:Miles Davis"
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"""
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url = get_url("search", q=q)
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response = await send_spotify_request(
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context, "GET", url, params={"q": q, "type": ",".join(types), "limit": limit}
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)
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response.raise_for_status()
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return dict(response.json())
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