### 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>
147 lines
5.3 KiB
Python
147 lines
5.3 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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from arcade_tdk.errors import ToolExecutionError
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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 build_file_data, clean_attachment_dict
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@tool(requires_auth=Atlassian(scopes=["write:jira-work"]))
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async def attach_file_to_issue(
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context: ToolContext,
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issue: Annotated[str, "The issue ID or key to add the attachment to"],
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filename: Annotated[
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str,
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"The name of the file to add as an attachment. The filename should contain the "
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"file extension (e.g. 'test.txt', 'report.pdf'), but it is not mandatory.",
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],
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file_content_str: Annotated[
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str | None,
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"The string content of the file to attach. Use this if the file is a text file. "
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"Defaults to None.",
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] = None,
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file_content_base64: Annotated[
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str | None,
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"The base64-encoded binary contents of the file. "
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"Use this for binary files like images or PDFs. Defaults to None.",
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] = None,
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file_encoding: Annotated[
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str,
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"The encoding of the file to attach. Only used with file_content_str. Defaults to 'utf-8'.",
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] = "utf-8",
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file_type: Annotated[
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str | None,
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"The type of the file to attach. E.g. 'application/pdf', 'text', 'image/png'. "
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"If not provided, the tool will try to infer the type from the filename. "
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"If the filename is not recognized, it will attach the file without specifying a type. "
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"Defaults to None (infer from filename or attach without type).",
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] = None,
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) -> Annotated[dict[str, Any], "Metadata about the attachment"]:
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"""Add an attachment to an issue.
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Must provide exactly one of file_content_str or file_content_base64.
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"""
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file_contents = [file_content_str, file_content_base64]
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if not any(file_contents) or all(file_contents):
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raise ToolExecutionError(
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message="Must provide exactly one of file_content_str or file_content_base64."
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)
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if not filename:
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raise ToolExecutionError(message="Must provide a filename.")
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client = JiraClient(context.get_auth_token_or_empty())
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response = await client.post(
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f"/issue/{issue}/attachments",
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headers={
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"X-Atlassian-Token": "no-check",
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},
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files=build_file_data(
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filename=filename,
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file_content_str=file_content_str,
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file_content_base64=file_content_base64,
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file_type=file_type,
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file_encoding=file_encoding,
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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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return {
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"status": {
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"success": True,
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"message": f"Attachment '{filename}' successfully added to the issue '{issue}'",
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},
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"attachment": clean_attachment_dict(response[0], cloud_name),
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}
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def list_issue_attachments_metadata(
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context: ToolContext,
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issue: Annotated[str, "The ID or key of the issue to retrieve"],
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) -> Annotated[dict, "Information about the issue"]:
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"""Get the metadata about the files attached to an issue.
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This tool does NOT return the actual file contents. To get a file content,
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use the `Jira.DownloadAttachment` tool.
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"""
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from arcade_jira.tools.issues import get_issue_by_id # Avoid circular imports
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response = await get_issue_by_id(context, issue)
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if response.get("error"):
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return cast(dict, response)
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return {
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"issue": {
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"id": response["issue"]["id"],
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"key": response["issue"]["key"],
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"attachments": response["issue"]["attachments"],
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}
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}
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def get_attachment_metadata(
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context: ToolContext,
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attachment_id: Annotated[str, "The ID of the attachment to retrieve"],
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) -> Annotated[dict[str, Any], "The metadata of the attachment"]:
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"""Get the metadata of an attachment."""
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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"/attachment/{attachment_id}")
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except NotFoundError:
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return {"error": f"Attachment not found with ID '{attachment_id}'."}
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cloud_name = cache.get_cloud_name(context.get_auth_token_or_empty())
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return {"attachment": clean_attachment_dict(response, cloud_name)}
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@tool(requires_auth=Atlassian(scopes=["read:jira-work"]))
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async def download_attachment(
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context: ToolContext,
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attachment_id: Annotated[str, "The ID of the attachment to download"],
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) -> Annotated[dict[str, Any], "The content of the attachment"]:
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"""Download the contents of an attachment associated with an issue."""
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client = JiraClient(context.get_auth_token_or_empty())
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attachment = await get_attachment_metadata(context, attachment_id)
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if attachment.get("error"):
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return cast(dict, attachment)
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try:
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content = await client.get(
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f"/attachment/content/{attachment_id}",
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params={
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"redirect": False,
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},
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)
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except NotFoundError:
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return {"error": f"Attachment not found with ID '{attachment_id}'."}
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attachment["attachment"]["content"] = content["text"]
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return cast(dict, attachment)
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