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7db5adc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | """Unit tests for src.inference."""
from __future__ import annotations
import json
from unittest.mock import MagicMock, patch
import pytest
from src.evaluation import EvaluationParseError, ParsedTurn
from src.inference import InferenceError, PrismaInferenceClient
VALID_PAYLOAD = json.dumps({
"response": "Hi there!",
"evaluation": {
"competent": 5,
"likeable": 5,
"considerate": 5,
"polite": 5,
"formal": 5,
"demanding": 3,
},
})
def _mock_completion(content: str) -> MagicMock:
"""Build a MagicMock mimicking the HF chat_completion return shape."""
completion = MagicMock()
completion.choices = [MagicMock()]
completion.choices[0].message.content = content
return completion
# ---- Construction ----
def test_rejects_empty_token():
with pytest.raises(ValueError, match="token"):
PrismaInferenceClient(token="")
def test_exposes_model_id():
client = PrismaInferenceClient(token="hf_test", model_id="some/model")
assert client.model_id == "some/model"
# ---- generate(): happy paths ----
def test_generate_returns_parsed_turn():
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.return_value = _mock_completion(VALID_PAYLOAD)
result = client.generate([{"role": "user", "content": "hi"}])
assert isinstance(result, ParsedTurn)
assert result.response == "Hi there!"
assert result.evaluation["competent"] == 5
def test_generate_forces_json_response_format():
"""The wrapper must always pass response_format={'type': 'json_object'}."""
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.return_value = _mock_completion(VALID_PAYLOAD)
client.generate([{"role": "user", "content": "hi"}])
call = mock_inner.chat_completion.call_args
assert call.kwargs["response_format"] == {"type": "json_object"}
def test_generate_passes_messages_and_model():
client = PrismaInferenceClient(token="hf_test", model_id="custom/model")
messages = [
{"role": "system", "content": "sys"},
{"role": "user", "content": "hi"},
]
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.return_value = _mock_completion(VALID_PAYLOAD)
client.generate(messages)
call = mock_inner.chat_completion.call_args
assert call.kwargs["model"] == "custom/model"
assert call.kwargs["messages"] == messages
# ---- generate(): error paths ----
def test_generate_rejects_empty_messages():
client = PrismaInferenceClient(token="hf_test")
with pytest.raises(ValueError, match="messages"):
client.generate([])
def test_generate_wraps_unexpected_exception():
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.side_effect = RuntimeError("boom")
with pytest.raises(InferenceError, match="boom"):
client.generate([{"role": "user", "content": "hi"}])
def test_generate_rejects_empty_content():
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.return_value = _mock_completion("")
with pytest.raises(InferenceError, match="empty"):
client.generate([{"role": "user", "content": "hi"}])
def test_generate_rejects_missing_choices():
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
bad = MagicMock()
bad.choices = []
mock_inner.chat_completion.return_value = bad
with pytest.raises(InferenceError, match="missing expected fields"):
client.generate([{"role": "user", "content": "hi"}])
def test_generate_propagates_parse_errors():
"""Parse failures bubble up as EvaluationParseError, not InferenceError."""
client = PrismaInferenceClient(token="hf_test")
with patch.object(client, "_client") as mock_inner:
mock_inner.chat_completion.return_value = _mock_completion("not json")
with pytest.raises(EvaluationParseError):
client.generate([{"role": "user", "content": "hi"}]) |