conftest.py

import os

import pytest
from django.core.cache import cache


# Pin tests to the lexical-only parser layer by default — running the full
# NER chain in CI would trigger ~1 GB of HF model downloads and hang the run.
# Set GAPGUIDE_ML_SMOKE=1 to opt into the real ML chain for the integration
# test at apps/accounts/tests/test_resume_parser_integration.py.
if not os.environ.get("GAPGUIDE_ML_SMOKE"):
    os.environ.setdefault("GAPGUIDE_PARSE_LAYERS", "lexical")


@pytest.fixture(autouse=True)
def _clear_throttle_cache():
    """Reset DRF throttle counters between tests so rate limits are
    per-test, not per-session."""
    cache.clear()
    yield
    cache.clear()