### 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>
144 lines
4.5 KiB
Python
144 lines
4.5 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 Google
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from arcade_tdk.errors import RetryableToolError
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from arcade_google.models import (
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SheetDataInput,
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Spreadsheet,
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SpreadsheetProperties,
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)
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from arcade_google.utils import (
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build_sheets_service,
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create_sheet,
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parse_get_spreadsheet_response,
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parse_write_to_cell_response,
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validate_write_to_cell_params,
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)
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@tool(
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requires_auth=Google(
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scopes=["https://www.googleapis.com/auth/drive.file"],
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)
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)
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def create_spreadsheet(
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context: ToolContext,
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title: Annotated[str, "The title of the new spreadsheet"] = "Untitled spreadsheet",
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data: Annotated[
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str | None,
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"The data to write to the spreadsheet. A JSON string "
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"(property names enclosed in double quotes) representing a dictionary that "
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"maps row numbers to dictionaries that map column letters to cell values. "
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"For example, data[23]['C'] would be the value of the cell in row 23, column C. "
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"Type hint: dict[int, dict[str, Union[int, float, str, bool]]]",
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] = None,
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) -> Annotated[dict, "The created spreadsheet's id and title"]:
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"""Create a new spreadsheet with the provided title and data in its first sheet
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Returns the newly created spreadsheet's id and title
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"""
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service = build_sheets_service(context.get_auth_token_or_empty())
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try:
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sheet_data = SheetDataInput(data=data) # type: ignore[arg-type]
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except Exception as e:
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msg = "Invalid JSON or unexpected data format for parameter `data`"
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raise RetryableToolError(
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message=msg,
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additional_prompt_content=f"{msg}: {e}",
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retry_after_ms=100,
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)
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spreadsheet = Spreadsheet(
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properties=SpreadsheetProperties(title=title),
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sheets=[create_sheet(sheet_data)],
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)
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body = spreadsheet.model_dump()
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response = (
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service.spreadsheets()
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.create(body=body, fields="spreadsheetId,spreadsheetUrl,properties/title")
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.execute()
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)
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return {
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"title": response["properties"]["title"],
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"spreadsheetId": response["spreadsheetId"],
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"spreadsheetUrl": response["spreadsheetUrl"],
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}
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@tool(
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requires_auth=Google(
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scopes=["https://www.googleapis.com/auth/drive.file"],
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)
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)
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async def get_spreadsheet(
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context: ToolContext,
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spreadsheet_id: Annotated[str, "The id of the spreadsheet to get"],
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) -> Annotated[
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dict,
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"The spreadsheet properties and data for all sheets in the spreadsheet",
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]:
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"""
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Get the user entered values and formatted values for all cells in all sheets in the spreadsheet
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along with the spreadsheet's properties
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"""
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service = build_sheets_service(context.get_auth_token_or_empty())
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response = (
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service.spreadsheets()
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.get(
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spreadsheetId=spreadsheet_id,
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includeGridData=True,
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fields="spreadsheetId,spreadsheetUrl,properties/title,sheets/properties,sheets/data/rowData/values/userEnteredValue,sheets/data/rowData/values/formattedValue,sheets/data/rowData/values/effectiveValue",
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)
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.execute()
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)
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return parse_get_spreadsheet_response(response)
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@tool(
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requires_auth=Google(
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scopes=["https://www.googleapis.com/auth/drive.file"],
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)
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)
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def write_to_cell(
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context: ToolContext,
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spreadsheet_id: Annotated[str, "The id of the spreadsheet to write to"],
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column: Annotated[str, "The column string to write to. For example, 'A', 'F', or 'AZ'"],
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row: Annotated[int, "The row number to write to"],
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value: Annotated[str, "The value to write to the cell"],
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sheet_name: Annotated[
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str, "The name of the sheet to write to. Defaults to 'Sheet1'"
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] = "Sheet1",
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) -> Annotated[dict, "The status of the operation"]:
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"""
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Write a value to a single cell in a spreadsheet.
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"""
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service = build_sheets_service(context.get_auth_token_or_empty())
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validate_write_to_cell_params(service, spreadsheet_id, sheet_name, column, row)
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range_ = f"'{sheet_name}'!{column.upper()}{row}"
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body = {
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"range": range_,
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"majorDimension": "ROWS",
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"values": [[value]],
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}
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sheet_properties = (
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service.spreadsheets()
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.values()
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.update(
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spreadsheetId=spreadsheet_id,
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range=range_,
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valueInputOption="USER_ENTERED",
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includeValuesInResponse=True,
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body=body,
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)
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.execute()
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)
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return parse_write_to_cell_response(sheet_properties)
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