### 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>
57 lines
2 KiB
Python
57 lines
2 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 LinkedIn
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from arcade_tdk.errors import ToolExecutionError
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from arcade_linkedin.tools.utils import _handle_linkedin_api_error, _send_linkedin_request
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@tool(
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requires_auth=LinkedIn(
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scopes=["w_member_social"],
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)
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)
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async def create_text_post(
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context: ToolContext,
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text: Annotated[str, "The text content of the post"],
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) -> Annotated[str, "URL of the shared post"]:
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"""Share a new text post to LinkedIn."""
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endpoint = "/ugcPosts"
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# The LinkedIn user ID is required to create a post, even though we're using
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# the user's access token.
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# Arcade Engine gets the current user's info from LinkedIn and automatically
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# populates context.authorization.user_info.
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# LinkedIn calls the user ID "sub" in their user_info data payload. See:
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# https://learn.microsoft.com/en-us/linkedin/consumer/integrations/self-serve/sign-in-with-linkedin-v2#api-request-to-retreive-member-details
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user_id = context.authorization.user_info.get("sub") if context.authorization else None
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if not user_id:
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raise ToolExecutionError(
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"User ID not found.",
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developer_message="User ID not found in `context.authorization.user_info.sub`",
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)
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author_id = f"urn:li:person:{user_id}"
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payload = {
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"author": author_id,
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"lifecycleState": "PUBLISHED",
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"specificContent": {
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"com.linkedin.ugc.ShareContent": {
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"shareCommentary": {"text": text},
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"shareMediaCategory": "NONE",
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}
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},
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"visibility": {"com.linkedin.ugc.MemberNetworkVisibility": "PUBLIC"},
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}
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response = await _send_linkedin_request(context, "POST", endpoint, json_data=payload)
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if response.status_code >= 200 and response.status_code < 300:
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share_id = response.json().get("id")
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return f"https://www.linkedin.com/feed/update/{share_id}/"
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_handle_linkedin_api_error(response)
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return ""
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