59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
"""Phase 1: verify src/models.py honors EMBEDDING_VECTOR_DIMENSIONS at import time."""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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_PROJECT_ROOT = Path(__file__).resolve().parent.parent
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def _run_in_fresh_interpreter(env_overrides: dict[str, str]) -> dict[str, int]:
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"""Import src.models in a fresh interpreter and return the vector dims.
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A subprocess is required because src.models reads
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settings.EMBEDDING.VECTOR_DIMENSIONS at module import time to construct
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SQLAlchemy column types — reloading the module in-process would conflict
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with the existing Base.registry from earlier imports.
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PYTHON_DOTENV_DISABLED=1 prevents config.py:20 from reloading the
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developer's .env file (which calls load_dotenv with override=True)
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and clobbering our test overrides.
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"""
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env: dict[str, str] = {
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**os.environ,
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"PYTHON_DOTENV_DISABLED": "1",
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**env_overrides,
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}
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snippet = (
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"import json\n"
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"from src.models import Document, MessageEmbedding\n"
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"print(json.dumps({\n"
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" 'message_embedding_dim': MessageEmbedding.__table__.c.embedding.type.dim,\n"
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" 'document_dim': Document.__table__.c.embedding.type.dim,\n"
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"}))\n"
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)
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result = subprocess.run(
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[sys.executable, "-c", snippet],
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env=env,
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cwd=str(_PROJECT_ROOT),
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check=True,
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capture_output=True,
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text=True,
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)
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parsed: dict[str, int] = json.loads(result.stdout.strip().splitlines()[-1])
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return parsed
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def test_models_uses_default_1536_when_no_env_override() -> None:
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dims = _run_in_fresh_interpreter({})
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assert dims == {"message_embedding_dim": 1536, "document_dim": 1536}
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def test_models_honors_explicit_embedding_vector_dimensions() -> None:
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dims = _run_in_fresh_interpreter({"EMBEDDING_VECTOR_DIMENSIONS": "768"})
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assert dims == {"message_embedding_dim": 768, "document_dim": 768}
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