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>
85 lines
3 KiB
Python
85 lines
3 KiB
Python
from typing import Annotated, Any, cast
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from arcade_tdk import ToolContext, tool
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from arcade_tdk.auth import Atlassian
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import arcade_jira.cache as cache
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from arcade_jira.client import JiraClient
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from arcade_jira.exceptions import NotFoundError
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from arcade_jira.utils import (
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add_pagination_to_response,
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clean_project_dict,
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remove_none_values,
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)
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def list_projects(
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context: ToolContext,
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limit: Annotated[
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int, "The maximum number of projects to return. Min of 1, Max of 50. Defaults to 50."
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] = 50,
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offset: Annotated[
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int, "The number of projects to skip. Defaults to 0 (starts from the first project)"
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] = 0,
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) -> Annotated[dict[str, Any], "Information about the projects"]:
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"""Browse projects available in Jira."""
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return cast(
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dict[str, Any], await search_projects(context, keywords=None, limit=limit, offset=offset)
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)
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def search_projects(
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context: ToolContext,
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keywords: Annotated[
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str | None,
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"The keywords to search for projects. Matches against project name and key "
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"(case insensitive). Defaults to None (no keywords filter).",
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] = None,
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limit: Annotated[
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int, "The maximum number of projects to return. Min of 1, Max of 50. Defaults to 50."
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] = 50,
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offset: Annotated[
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int, "The number of projects to skip. Defaults to 0 (starts from the first project)"
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] = 0,
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) -> Annotated[dict[str, Any], "Information about the projects"]:
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"""Get the details of all Jira projects."""
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limit = max(min(limit, 50), 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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"/project/search",
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params=remove_none_values({
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"expand": ",".join([
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"description",
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"url",
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]),
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"maxResults": limit,
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"startAt": offset,
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"query": keywords,
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}),
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)
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cloud_name = cache.get_cloud_name(context.get_auth_token_or_empty())
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projects = [clean_project_dict(project, cloud_name) for project in api_response["values"]]
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response = {
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"projects": projects,
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"isLast": api_response.get("isLast"),
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}
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return add_pagination_to_response(response, projects, limit, offset)
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def get_project_by_id(
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context: ToolContext,
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project: Annotated[str, "The ID or key of the project to retrieve"],
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) -> Annotated[dict[str, Any], "Information about the project"]:
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"""Get the details of a Jira project by its ID or key."""
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client = JiraClient(context.get_auth_token_or_empty())
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try:
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response = await client.get(f"project/{project}")
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except NotFoundError:
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return {"error": f"Project not found: {project}"}
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cloud_name = cache.get_cloud_name(context.get_auth_token_or_empty())
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return {"project": clean_project_dict(response, cloud_name)}
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