arcade-mcp/toolkits/reddit/evals/critics.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

42 lines
1.3 KiB
Python

from dataclasses import dataclass
from typing import Any
from arcade_evals.critic import Critic
@dataclass
class AnyOfCritic(Critic):
"""
A critic that checks if the actual value matches any of the expected values.
In other words, it checks if the actual value is in the expected list.
"""
def evaluate(self, expected: list[Any], actual: Any) -> dict[str, float | bool]:
match = actual in expected
return {"match": match, "score": self.weight if match else 0.0}
@dataclass
class ListCritic(Critic):
"""
A critic for comparing two lists.
"""
def __init__(
self,
critic_field: str,
weight: float = 1.0,
order_matters: bool = True,
duplicates_matter: bool = True,
):
self.critic_field = critic_field
self.weight = weight
self.order_matters = order_matters
self.duplicates_matter = duplicates_matter
def evaluate(self, expected: list[Any], actual: list[Any]) -> dict[str, float | bool]:
match = actual == expected if self.order_matters else set(actual) == set(expected)
if self.duplicates_matter:
match = match and len(actual) == len(expected)
return {"match": match, "score": self.weight if match else 0.0}