Refacto du code coté Python, java et coté angular afin de mieux séparer les responsabilité et d'avoir moins de répétitivité dans le code.
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Mise en place de tests unitaires coté Python et Angular
Mise en place de la couverture de test directement dans le workflow : le programme ne build pas si jamais un test échoue
Passage en v0.16.2 en conséquence
This commit is contained in:
2026-06-18 15:59:10 +02:00
parent eb78a75621
commit 4d049274f9
68 changed files with 4433 additions and 1360 deletions

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"""Tests du retry des appels LLM one-shot (app.application.llm_retry).
`asyncio.sleep` est neutralisé (et enregistré) pour que les backoffs n'imposent
aucune attente réelle tout en vérifiant les durées choisies.
"""
from __future__ import annotations
import pytest
from app.application import llm_retry
from app.application.llm_retry import (
_is_daily_quota,
_is_rate_limit,
_suggested_retry_after,
generate_with_retry,
)
from app.domain.ports import LLMGenerationTimeout, LLMProviderError
class FakeLLM:
"""LLM factice : rejoue une liste de comportements (exception ou texte)."""
def __init__(self, behaviors: list) -> None:
self._behaviors = list(behaviors)
self.calls = 0
async def generate(self, prompt: str, *, output_format=None, temperature=None) -> str:
b = self._behaviors[self.calls]
self.calls += 1
if isinstance(b, Exception):
raise b
return b
@pytest.fixture
def slept(monkeypatch):
"""Neutralise asyncio.sleep et enregistre les durées demandées."""
recorded: list[float] = []
async def fake_sleep(d):
recorded.append(d)
monkeypatch.setattr("asyncio.sleep", fake_sleep)
return recorded
# --- helpers de classification -------------------------------------------------
def test_is_rate_limit():
assert _is_rate_limit(LLMProviderError("HTTP 429 Too Many Requests"))
assert _is_rate_limit(LLMProviderError("rate limit reached"))
assert not _is_rate_limit(LLMProviderError("HTTP 500"))
def test_is_daily_quota():
assert _is_daily_quota(LLMProviderError("free-models-per-day limit"))
assert _is_daily_quota(LLMProviderError("quota per day exceeded"))
assert not _is_daily_quota(LLMProviderError("429 per-minute"))
def test_suggested_retry_after():
assert _suggested_retry_after(LLMProviderError('{"retry_after_seconds": 8}')) == 8.0
assert _suggested_retry_after(LLMProviderError('Retry-After: 12')) == 12.0
assert _suggested_retry_after(LLMProviderError("pas de hint")) is None
# --- generate_with_retry -------------------------------------------------------
async def test_returns_on_first_success(slept):
llm = FakeLLM(["réponse"])
assert await generate_with_retry(llm, "p") == "réponse"
assert llm.calls == 1
assert slept == []
async def test_retries_transient_error_then_succeeds(slept):
llm = FakeLLM([LLMProviderError("HTTP 503"), "ok"])
assert await generate_with_retry(llm, "p") == "ok"
assert llm.calls == 2
assert slept == [3.0] # _BASE_DELAY_SECONDS
async def test_timeout_raises_immediately_without_retry(slept):
llm = FakeLLM([LLMGenerationTimeout("trop lent")])
with pytest.raises(LLMGenerationTimeout):
await generate_with_retry(llm, "p")
assert llm.calls == 1
assert slept == []
async def test_daily_quota_aborts_immediately(slept):
llm = FakeLLM([LLMProviderError("free-models-per-day exceeded")])
with pytest.raises(LLMProviderError):
await generate_with_retry(llm, "p")
assert llm.calls == 1
assert slept == []
async def test_exhausts_attempts_then_raises_last(slept):
llm = FakeLLM([LLMProviderError("503 a"), LLMProviderError("503 b"), LLMProviderError("503 c")])
with pytest.raises(LLMProviderError, match="503 c"):
await generate_with_retry(llm, "p")
assert llm.calls == 3
# 2 attentes entre 3 tentatives (backoff exponentiel 3s puis 6s).
assert slept == [3.0, 6.0]
async def test_rate_limit_respects_suggested_retry_after(slept):
llm = FakeLLM([LLMProviderError('429 {"retry_after_seconds": 8}'), "ok"])
assert await generate_with_retry(llm, "p") == "ok"
# min(8 + 2, 60) = 10
assert slept == [10.0]