arcade-mcp/toolkits/google/evals/eval_google_drive.py
Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### 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>
2025-06-11 16:48:17 -07:00

329 lines
12 KiB
Python

from arcade_evals import (
BinaryCritic,
EvalRubric,
EvalSuite,
ExpectedToolCall,
tool_eval,
)
from arcade_tdk import ToolCatalog
import arcade_google
from arcade_google.models import DocumentFormat, OrderBy
from arcade_google.tools import (
get_file_tree_structure,
search_and_retrieve_documents,
search_documents,
)
# Evaluation rubric
rubric = EvalRubric(
fail_threshold=0.9,
warn_threshold=0.95,
)
catalog = ToolCatalog()
catalog.add_module(arcade_google)
@tool_eval()
def get_file_tree_structure_eval_suite() -> EvalSuite:
"""Create an evaluation suite for Google Drive tools."""
suite = EvalSuite(
name="Google Drive Tools Evaluation",
system_message="You are an AI assistant that can manage Google Drive documents using the provided tools.",
catalog=catalog,
rubric=rubric,
)
suite.add_case(
name="get my google drive's file tree structure including shared drives",
user_message="get my google drive's file tree structure including shared drives",
expected_tool_calls=[
ExpectedToolCall(
func=get_file_tree_structure,
args={
"restrict_to_shared_drive_id": None,
"include_shared_drives": True,
"include_organization_domain_documents": False,
"order_by": None,
"limit": None,
},
)
],
critics=[
BinaryCritic(critic_field="include_shared_drives", weight=0.5),
BinaryCritic(critic_field="restrict_to_shared_drive_id", weight=0.5 / 4),
BinaryCritic(critic_field="include_organization_domain_documents", weight=0.5 / 4),
BinaryCritic(critic_field="order_by", weight=0.5 / 4),
BinaryCritic(critic_field="limit", weight=0.5 / 4),
],
)
suite.add_case(
name="get my google drive's file tree structure without shared drives",
user_message="get my google drive's file tree structure without shared drives",
expected_tool_calls=[
ExpectedToolCall(
func=get_file_tree_structure,
args={
"restrict_to_shared_drive_id": None,
"include_shared_drives": False,
"include_organization_domain_documents": False,
"order_by": None,
"limit": None,
},
)
],
critics=[
BinaryCritic(critic_field="include_shared_drives", weight=0.5),
BinaryCritic(critic_field="restrict_to_shared_drive_id", weight=0.5 / 4),
BinaryCritic(critic_field="include_organization_domain_documents", weight=0.5 / 4),
BinaryCritic(critic_field="order_by", weight=0.5 / 4),
BinaryCritic(critic_field="limit", weight=0.5 / 4),
],
)
suite.add_case(
name="what are the files in the folder 'hello world' in my google drive?",
user_message="what are the files in the folder 'hello world' in my google drive?",
expected_tool_calls=[
ExpectedToolCall(
func=get_file_tree_structure,
args={
"restrict_to_shared_drive_id": None,
"include_shared_drives": False,
"include_organization_domain_documents": False,
"order_by": None,
"limit": None,
},
)
],
critics=[
BinaryCritic(critic_field="include_shared_drives", weight=0.5),
BinaryCritic(critic_field="restrict_to_shared_drive_id", weight=0.5 / 4),
BinaryCritic(critic_field="include_organization_domain_documents", weight=0.5 / 4),
BinaryCritic(critic_field="order_by", weight=0.5 / 4),
BinaryCritic(critic_field="limit", weight=0.5 / 4),
],
)
suite.add_case(
name="how many files are there in all my google drives, including shared ones?",
user_message="how many files are there in all my google drives, including shared ones?",
expected_tool_calls=[
ExpectedToolCall(
func=get_file_tree_structure,
args={
"restrict_to_shared_drive_id": None,
"include_shared_drives": True,
"include_organization_domain_documents": False,
"order_by": None,
"limit": None,
},
)
],
critics=[
BinaryCritic(critic_field="include_shared_drives", weight=0.5),
BinaryCritic(critic_field="restrict_to_shared_drive_id", weight=0.5 / 4),
BinaryCritic(critic_field="include_organization_domain_documents", weight=0.5 / 4),
BinaryCritic(critic_field="order_by", weight=0.5 / 4),
BinaryCritic(critic_field="limit", weight=0.5 / 4),
],
)
return suite
@tool_eval()
def search_documents_eval_suite() -> EvalSuite:
"""Create an evaluation suite for Google Drive tools."""
suite = EvalSuite(
name="Google Drive Tools Evaluation",
system_message="You are an AI assistant that can manage Google Drive documents using the provided tools.",
catalog=catalog,
rubric=rubric,
)
suite.add_case(
name="Search documents in Google Drive",
user_message="get my 49 most recently created documents, list the ones created most recently first.",
expected_tool_calls=[
ExpectedToolCall(
func=search_documents,
args={
"order_by": [OrderBy.CREATED_TIME_DESC.value],
"limit": 49,
},
)
],
critics=[
BinaryCritic(critic_field="order_by", weight=0.5),
BinaryCritic(critic_field="limit", weight=0.5),
],
)
suite.add_case(
name="Search documents in Google Drive based on document keywords",
user_message="Search the documents that contain the word 'greedy' and the phrase 'hello, world'",
expected_tool_calls=[
ExpectedToolCall(
func=search_documents,
args={
"document_contains": ["greedy", "hello, world"],
},
)
],
critics=[
BinaryCritic(critic_field="document_contains", weight=1.0),
],
)
suite.add_case(
name="Search documents in a specific Google Drive based on document keywords",
user_message="Search the documents that contain the word 'greedy' and the phrase 'hello, world' in the drive with id 'abc123'",
expected_tool_calls=[
ExpectedToolCall(
func=search_documents,
args={
"document_contains": ["greedy", "hello, world"],
"search_only_in_shared_drive_id": "abc123",
},
)
],
critics=[
BinaryCritic(critic_field="search_only_in_shared_drive_id", weight=0.5),
BinaryCritic(critic_field="document_contains", weight=0.5),
],
)
suite.add_case(
name="Search documents in a Google Drive Workspace organization domain based on document keywords",
user_message="Search the documents that contain the phrase 'hello, world' in the organization domain",
expected_tool_calls=[
ExpectedToolCall(
func=search_documents,
args={
"document_contains": ["hello, world"],
"include_organization_domain_documents": True,
},
)
],
critics=[
BinaryCritic(critic_field="include_organization_domain_documents", weight=0.5),
BinaryCritic(critic_field="document_contains", weight=0.5),
],
)
suite.add_case(
name="Search documents in shared drives",
user_message="Search the 5 documents from all drives corpora that nobody has touched in forever, excluding shared drives.",
expected_tool_calls=[
ExpectedToolCall(
func=search_documents,
args={
"limit": 5,
"include_shared_drives": False,
},
)
],
critics=[
BinaryCritic(critic_field="include_shared_drives", weight=0.5),
BinaryCritic(critic_field="limit", weight=0.5),
],
)
suite.add_case(
name="No tool call case",
user_message="List my 10 most recently modified documents that are stored in my Microsoft OneDrive.",
expected_tool_calls=[],
critics=[],
)
return suite
@tool_eval()
def search_and_retrieve_documents_eval_suite() -> EvalSuite:
"""Create an evaluation suite for Google Drive search and retrieve tools."""
suite = EvalSuite(
name="Google Drive Tools Evaluation",
system_message="You are an AI assistant that can manage Google Drive documents using the provided tools.",
catalog=catalog,
rubric=rubric,
)
suite.add_case(
name="Search and retrieve (write summary)",
user_message="Write a summary of the documents in my Google Drive about 'MX Engineering'",
expected_tool_calls=[
ExpectedToolCall(
func=search_and_retrieve_documents,
args={
"document_contains": ["MX Engineering"],
"return_format": DocumentFormat.MARKDOWN,
},
)
],
critics=[
BinaryCritic(critic_field="document_contains", weight=0.5),
BinaryCritic(critic_field="return_format", weight=0.5),
],
)
suite.add_case(
name="Search and retrieve (project proposal)",
user_message="Display the document contents in HTML format from my Google Drive that contain the phrase 'project proposal'.",
expected_tool_calls=[
ExpectedToolCall(
func=search_and_retrieve_documents,
args={
"document_contains": ["project proposal"],
"return_format": DocumentFormat.HTML,
},
)
],
critics=[
BinaryCritic(critic_field="document_contains", weight=0.5),
BinaryCritic(critic_field="return_format", weight=0.5),
],
)
suite.add_case(
name="Search and retrieve (meeting notes)",
user_message="Retrieve documents that contain both 'meeting notes' and 'budget' in JSON format.",
expected_tool_calls=[
ExpectedToolCall(
func=search_and_retrieve_documents,
args={
"document_contains": ["meeting notes", "budget"],
"return_format": DocumentFormat.GOOGLE_API_JSON,
},
)
],
critics=[
BinaryCritic(critic_field="document_contains", weight=0.5),
BinaryCritic(critic_field="return_format", weight=0.5),
],
)
suite.add_case(
name="Search and retrieve (Q1 report)",
user_message="Show me the content of the documents that mention 'Q1 report' but do not include the expression 'Project XYZ'.",
expected_tool_calls=[
ExpectedToolCall(
func=search_and_retrieve_documents,
args={
"document_contains": ["Q1 report"],
"document_not_contains": ["Project XYZ"],
"return_format": DocumentFormat.MARKDOWN,
},
)
],
critics=[
BinaryCritic(critic_field="document_contains", weight=1 / 3),
BinaryCritic(critic_field="document_not_contains", weight=1 / 3),
BinaryCritic(critic_field="return_format", weight=1 / 3),
],
)
return suite