### 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>
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
from typing import Annotated, Any
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from arcade_tdk import ToolContext, tool
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from arcade_tdk.auth import Atlassian
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from arcade_jira.client import JiraClient
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from arcade_jira.utils import add_pagination_to_response
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def list_labels(
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context: ToolContext,
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limit: Annotated[
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int, "The maximum number of labels to return. Min of 1, Max of 200. Defaults to 200."
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] = 200,
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offset: Annotated[
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int, "The number of labels to skip. Defaults to 0 (starts from the first label)"
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] = 0,
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) -> Annotated[dict[str, Any], "The existing labels (tags) in the user's Jira instance"]:
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"""Get the existing labels (tags) in the user's Jira instance."""
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limit = max(min(limit, 200), 1)
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client = JiraClient(context.get_auth_token_or_empty())
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api_response = await client.get(
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"/label",
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params={
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"maxResults": limit,
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"startAt": offset,
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},
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)
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response = {
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"labels": api_response["values"],
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"total": api_response["total"],
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}
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return add_pagination_to_response(response, api_response["values"], limit, offset)
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