### 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>
201 lines
7.8 KiB
Python
201 lines
7.8 KiB
Python
import asyncio
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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.constants import JIRA_API_REQUEST_TIMEOUT, PrioritySchemeOrderBy
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from arcade_jira.exceptions import JiraToolExecutionError, MultipleItemsFoundError, NotFoundError
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from arcade_jira.utils import (
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add_pagination_to_response,
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clean_priority_dict,
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clean_priority_scheme_dict,
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clean_project_dict,
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find_priorities_by_project,
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find_unique_project,
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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 get_priority_by_id(
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context: ToolContext,
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priority_id: Annotated[str, "The ID of the priority to retrieve."],
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) -> Annotated[dict[str, Any], "The priority"]:
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"""Get the details of a priority by its ID."""
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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"/priority/{priority_id}")
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except NotFoundError:
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return {"error": f"Priority not found with id '{priority_id}'"}
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return {"priority": clean_priority_dict(response)}
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@tool(requires_auth=Atlassian(scopes=["manage:jira-configuration"]))
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async def list_priority_schemes(
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context: ToolContext,
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scheme_name: Annotated[
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str | None, "Filter by scheme name. Defaults to None (returns all scheme names)."
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] = None,
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limit: Annotated[
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int,
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"The maximum number of priority schemes 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 priority schemes to skip. Defaults to 0 (start from the first scheme)."
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] = 0,
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order_by: Annotated[
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PrioritySchemeOrderBy,
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"The order in which to return the priority schemes. Defaults to name ascending.",
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] = PrioritySchemeOrderBy.NAME_ASCENDING,
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) -> Annotated[dict[str, Any], "The priority schemes available"]:
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"""Browse the priority schemes available in Jira."""
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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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"/priorityscheme",
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params=remove_none_values({
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"startAt": offset,
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"maxResults": limit,
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"schemeName": scheme_name,
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"orderBy": order_by.to_api_value(),
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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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schemes = [clean_priority_scheme_dict(scheme, cloud_name) for scheme in api_response["values"]]
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response = {
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"priority_schemes": schemes,
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"isLast": api_response.get("isLast"),
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}
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return add_pagination_to_response(response, schemes, limit, offset)
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@tool(requires_auth=Atlassian(scopes=["manage:jira-configuration"]))
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async def list_priorities_associated_with_a_priority_scheme(
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context: ToolContext,
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scheme_id: Annotated[str, "The ID of the priority scheme to retrieve priorities for."],
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limit: Annotated[
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int,
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"The maximum number of priority schemes 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 priority schemes to skip. Defaults to 0 (start from the first scheme)."
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] = 0,
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) -> Annotated[dict[str, Any], "The priorities associated with the priority scheme"]:
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"""Browse the priorities associated with a priority scheme."""
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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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f"/priorityscheme/{scheme_id}/priorities",
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params={
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"startAt": offset,
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"maxResults": limit,
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},
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)
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priorities = [clean_priority_dict(priority) for priority in api_response["values"]]
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response = {
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"priorities": priorities,
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"isLast": api_response.get("isLast"),
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}
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return add_pagination_to_response(response, priorities, limit, offset)
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@tool(requires_auth=Atlassian(scopes=["manage:jira-configuration"]))
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async def list_projects_associated_with_a_priority_scheme(
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context: ToolContext,
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scheme_id: Annotated[str, "The ID of the priority scheme to retrieve projects for."],
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project: Annotated[
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str | None, "Filter by project ID, key or name. Defaults to None (returns all projects)."
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] = None,
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limit: Annotated[
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int,
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"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 (start from the first project)."
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] = 0,
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) -> Annotated[dict[str, Any], "The projects associated with the priority scheme"]:
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"""Browse the projects associated with a priority scheme."""
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if project:
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try:
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project_data = await find_unique_project(context, project)
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except (NotFoundError, MultipleItemsFoundError) as exc:
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return {"error": exc.message}
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else:
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project = project_data["id"]
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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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f"/priorityscheme/{scheme_id}/projects",
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params=remove_none_values({
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"startAt": offset,
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"maxResults": limit,
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"projectId": project,
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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=["manage:jira-configuration"]))
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async def list_priorities_available_to_a_project(
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context: ToolContext,
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project: Annotated[str, "The ID, key or name of the project to retrieve priorities for."],
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) -> Annotated[
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dict[str, Any],
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"The priorities available to be used in issues in the specified Jira project",
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]:
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"""Browse the priorities available to be used in issues in the specified Jira project.
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This tool may need to loop through several API calls to get all priorities associated with
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a specific project. In Jira environments with too many Projects or Priority Schemes,
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the search may take too long, and the tool call will timeout.
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"""
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try:
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project_data = await find_unique_project(context, project)
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except (NotFoundError, MultipleItemsFoundError) as exc:
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return {"error": exc.message}
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try:
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return await asyncio.wait_for(
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find_priorities_by_project(context, project_data),
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timeout=JIRA_API_REQUEST_TIMEOUT,
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)
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except asyncio.TimeoutError:
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return {"error": f"The operation timed out after {JIRA_API_REQUEST_TIMEOUT} seconds."}
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except JiraToolExecutionError as error:
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return {"error": error.message}
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@tool(requires_auth=Atlassian(scopes=["manage:jira-configuration"]))
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async def list_priorities_available_to_an_issue(
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context: ToolContext,
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issue: Annotated[str, "The ID or key of the issue to retrieve priorities for."],
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) -> Annotated[dict[str, Any], "The priorities available to be used in the specified Jira issue"]:
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"""Browse the priorities available to be used in the specified Jira issue."""
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from arcade_jira.tools.issues import get_issue_by_id
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issue_response = await get_issue_by_id(context, issue)
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if issue_response.get("error"):
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return cast(dict[str, Any], issue_response)
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issue_data = issue_response["issue"]
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project = issue_data["project"]["id"]
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response = await list_priorities_available_to_a_project(context, project)
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return {
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"issue": {
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"id": issue_data["id"],
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"key": issue_data["key"],
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"title": issue_data["title"],
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},
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"project": response["project"],
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"priorities_available": response["priorities_available"],
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}
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