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>
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
from typing import Annotated
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import httpx
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from arcade_tdk import ToolContext, tool
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from arcade_tdk.auth import X
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from arcade_tdk.errors import RetryableToolError
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from arcade_x.tools.utils import (
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expand_urls_in_user_description,
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expand_urls_in_user_url,
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get_headers_with_token,
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)
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# Users Lookup Tools. See developer docs for additional available query parameters:
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# https://developer.x.com/en/docs/x-api/users/lookup/api-reference
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@tool(requires_auth=X(scopes=["users.read", "tweet.read"]))
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async def lookup_single_user_by_username(
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context: ToolContext,
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username: Annotated[str, "The username of the X (Twitter) user to look up"],
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) -> Annotated[dict, "User information including id, name, username, and description"]:
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"""Look up a user on X (Twitter) by their username."""
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headers = get_headers_with_token(context)
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user_fields = ",".join([
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"created_at",
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"description",
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"id",
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"location",
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"most_recent_tweet_id",
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"name",
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"pinned_tweet_id",
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"profile_image_url",
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"protected",
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"public_metrics",
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"url",
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"username",
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"verified",
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"verified_type",
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"withheld",
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"entities",
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])
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url = f"https://api.x.com/2/users/by/username/{username}?user.fields={user_fields}"
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async with httpx.AsyncClient() as client:
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response = await client.get(url, headers=headers, timeout=10)
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if response.status_code == 404:
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# User not found
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raise RetryableToolError(
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"User not found",
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developer_message=f"User with username '{username}' not found.",
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additional_prompt_content="Please check the username and try again.",
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retry_after_ms=500, # Play nice with X API rate limits
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)
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response.raise_for_status()
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# Parse the response JSON
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user_data = response.json()["data"]
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user_data = expand_urls_in_user_description(user_data, delete_entities=False)
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user_data = expand_urls_in_user_url(user_data, delete_entities=True)
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return {"data": user_data}
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