### 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>
91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
from dataclasses import dataclass
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from typing import Any
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from arcade_evals.critic import BinaryCritic
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@dataclass
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class HasSubstringCritic(BinaryCritic):
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"""A critic for checking whether the argument value contains a substring."""
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def evaluate(self, expected: Any, actual: Any) -> dict[str, float | bool]:
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"""
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Evaluates whether the actual value contains the expected value.
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Args:
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expected: The expected value.
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actual: The actual value to compare, cast to the type of expected.
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Returns:
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dict: A dictionary containing the match status and score.
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"""
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if not isinstance(actual, str) or not isinstance(expected, str):
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return {"match": False, "score": 0.0}
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try:
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actual_casted = self.cast_actual(expected, actual)
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except TypeError:
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actual_casted = actual
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match = expected in actual_casted
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return {"match": match, "score": self.weight if match else 0.0}
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@dataclass
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class CaseInsensitiveBinaryCritic(BinaryCritic):
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"""A critic for checking whether actual and expected values are the same, case insensitive."""
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def evaluate(self, expected: Any, actual: Any) -> dict[str, float | bool]:
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"""
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Evaluates whether the actual value is the same as the expected value, case insensitive.
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Args:
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expected: The expected value.
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actual: The actual value to compare, cast to the type of expected.
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Returns:
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dict: A dictionary containing the match status and score.
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"""
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if not isinstance(actual, str) or not isinstance(expected, str):
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return {"match": False, "score": 0.0}
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try:
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actual_casted = self.cast_actual(expected, actual)
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except TypeError:
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actual_casted = actual
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match = expected.casefold() in actual_casted.casefold()
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return {"match": match, "score": self.weight if match else 0.0}
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@dataclass
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class CaseInsensitiveListOfStringsBinaryCritic(BinaryCritic):
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"""Checks that all strings match in Actual and Expected list of strings, case insensitive"""
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def evaluate(self, expected: Any, actual: Any) -> dict[str, float | bool]:
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"""
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Checks that all strings match in Actual and Expected list of strings, case insensitive
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Args:
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expected: The expected value.
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actual: The actual value to compare, cast to the type of expected.
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Returns:
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dict: A dictionary containing the match status and score.
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"""
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if not isinstance(actual, list) or not isinstance(expected, list):
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return {"match": False, "score": 0.0}
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all_actual_str = all(isinstance(item, str) for item in actual)
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all_expected_str = all(isinstance(item, str) for item in expected)
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if not all_actual_str or not all_expected_str:
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return {"match": False, "score": 0.0}
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actual_folded = [item.casefold() for item in actual]
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expected_folded = [item.casefold() for item in expected]
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match = len(actual) == len(expected) and all(
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item in actual_folded for item in expected_folded
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)
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return {"match": match, "score": self.weight if match else 0.0}
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