Skip to main content
Glama
test_cache_golden_fixtures.py2.44 kB
"""Validate cache/history golden fixtures using FakeSnowflake outputs.""" from __future__ import annotations import csv import json from pathlib import Path import pytest from tests.helpers.cache_fixture_builder import ( generate_cache_fixture, load_jsonl, ) FIXTURE_ROOT = Path(__file__).resolve().parent / "fixtures" / "cache_scenarios" BASELINE_DIR = FIXTURE_ROOT / "baseline" def _compare_json(expected_path: Path, actual_path: Path) -> None: expected = json.loads(expected_path.read_text(encoding="utf-8")) actual = json.loads(actual_path.read_text(encoding="utf-8")) assert actual == expected def _compare_jsonl(expected_path: Path, actual_path: Path) -> None: expected_records = load_jsonl(expected_path) actual_records = load_jsonl(actual_path) assert len(actual_records) == len(expected_records) allowed_extra = {"columns"} for expected, actual in zip(expected_records, actual_records): extra_keys = set(actual) - set(expected) assert extra_keys <= allowed_extra filtered_actual = {key: actual[key] for key in expected} assert filtered_actual == expected def _compare_csv(expected_path: Path, actual_path: Path) -> None: with ( expected_path.open("r", encoding="utf-8") as exp, actual_path.open("r", encoding="utf-8") as act, ): expected_rows = list(csv.reader(exp)) actual_rows = list(csv.reader(act)) assert actual_rows == expected_rows def test_cache_history_golden_fixture(tmp_path): if not BASELINE_DIR.exists(): pytest.skip( "Golden fixtures not present; run fixture generator to create baseline" ) generated = generate_cache_fixture(tmp_path) expected_history = BASELINE_DIR / "history" / "doc.jsonl" _compare_jsonl(expected_history, generated["history"]) expected_manifest = next(BASELINE_DIR.glob("artifacts/cache/*/manifest.json")) _compare_json(expected_manifest, generated["manifest"]) expected_rows_jsonl = expected_manifest.parent / "rows.jsonl" _compare_jsonl(expected_rows_jsonl, generated["rows_jsonl"]) expected_rows_csv = expected_manifest.parent / "rows.csv" _compare_csv(expected_rows_csv, generated["rows_csv"]) expected_sql = next(BASELINE_DIR.glob("artifacts/queries/by_sha/*.sql")) assert generated["sql"].read_text(encoding="utf-8") == expected_sql.read_text( encoding="utf-8" )

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Evan-Kim2028/igloo-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server