Files
Prompt-optimizer/tests/conftest.py
Gartoid 837a44970f Initial commit: PROMETHEUS v0.1.0 - Prompt optimizer
- Clean architecture (domain/application/infrastructure)
- DSPy-based evolution engine with scoring
- CLI via pyproject.toml entry point
- Unit + integration tests (~300 tests)
- Configs for glm-5.1 and glm-4.5-air models
- Z.AI endpoint integration
2026-03-29 11:44:03 +00:00

94 lines
2.3 KiB
Python

"""Shared test fixtures."""
from __future__ import annotations
from unittest.mock import MagicMock
import pytest
from prometheus.domain.entities import (
EvalResult,
Prompt,
SyntheticExample,
Trajectory,
)
@pytest.fixture
def seed_prompt() -> Prompt:
return Prompt(text="You are a helpful assistant. Answer the question.")
@pytest.fixture
def task_description() -> str:
return "Answer factual questions accurately and concisely."
@pytest.fixture
def synthetic_pool() -> list[SyntheticExample]:
return [
SyntheticExample(input_text=f"Test input {i}", id=i) for i in range(20)
]
@pytest.fixture
def mock_eval_result() -> EvalResult:
return EvalResult(
scores=[0.3, 0.5, 0.4, 0.6, 0.2],
feedbacks=[
"Incomplete answer",
"Missing key detail",
"Wrong format",
"Partially correct",
"Completely off topic",
],
trajectories=[
Trajectory(
input_text=f"Input {i}",
output_text=f"Output {i}",
score=s,
feedback=f,
prompt_used="test prompt",
)
for i, (s, f) in enumerate(
zip(
[0.3, 0.5, 0.4, 0.6, 0.2],
[
"Incomplete answer",
"Missing key detail",
"Wrong format",
"Partially correct",
"Completely off topic",
],
)
)
],
)
@pytest.fixture
def mock_llm_port() -> MagicMock:
"""Mock LLMPort that returns canned responses."""
port = MagicMock()
port.execute.return_value = "This is a mock response."
return port
@pytest.fixture
def mock_judge_port() -> MagicMock:
"""Mock JudgePort that returns moderate scores."""
port = MagicMock()
port.judge_batch.return_value = [
(0.5, "Moderate quality, needs improvement."),
] * 5
return port
@pytest.fixture
def mock_proposer_port() -> MagicMock:
"""Mock ProposerPort that returns a slightly modified prompt."""
port = MagicMock()
port.propose.return_value = Prompt(
text="You are a very helpful assistant. Answer the question precisely."
)
return port