2026-04-13 07:51:46 -03:00
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"""Unit tests for the optional LLM-based closet regeneration.
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These tests don't hit the network. They mock urllib to verify:
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- LLMConfig correctly reads env vars and CLI overrides
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- missing config is reported cleanly
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- the OpenAI-compatible request shape is correct
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- response parsing handles the standard chat-completions payload
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"""
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import json
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import tempfile
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from unittest.mock import patch
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from mempalace.closet_llm import (
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LLMConfig,
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_call_llm,
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_parsed_to_closet_lines,
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regenerate_closets,
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)
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# ── LLMConfig ─────────────────────────────────────────────────────────────
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class TestLLMConfig:
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def test_reads_env_vars(self, monkeypatch):
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monkeypatch.setenv("LLM_ENDPOINT", "http://localhost:11434/v1")
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monkeypatch.setenv("LLM_KEY", "sk-abc")
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monkeypatch.setenv("LLM_MODEL", "llama3:8b")
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c = LLMConfig()
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assert c.endpoint == "http://localhost:11434/v1"
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assert c.key == "sk-abc"
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assert c.model == "llama3:8b"
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def test_cli_flags_override_env(self, monkeypatch):
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monkeypatch.setenv("LLM_ENDPOINT", "http://env-endpoint/v1")
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monkeypatch.setenv("LLM_MODEL", "env-model")
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c = LLMConfig(endpoint="http://flag-endpoint/v1", model="flag-model")
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assert c.endpoint == "http://flag-endpoint/v1"
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assert c.model == "flag-model"
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def test_trailing_slash_stripped(self):
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c = LLMConfig(endpoint="http://foo/v1/", model="m")
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assert c.endpoint == "http://foo/v1"
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def test_missing_reports_required(self, monkeypatch):
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monkeypatch.delenv("LLM_ENDPOINT", raising=False)
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monkeypatch.delenv("LLM_KEY", raising=False)
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monkeypatch.delenv("LLM_MODEL", raising=False)
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c = LLMConfig()
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missing = c.missing()
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assert any("ENDPOINT" in m for m in missing)
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assert any("MODEL" in m for m in missing)
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# key is optional
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assert not any("KEY" in m for m in missing)
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def test_key_is_optional(self, monkeypatch):
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monkeypatch.delenv("LLM_KEY", raising=False)
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c = LLMConfig(endpoint="http://local/v1", model="m")
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assert c.missing() == []
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# ── _parsed_to_closet_lines ──────────────────────────────────────────────
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class TestParsedToLines:
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def test_topics_become_pointers(self):
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parsed = {"topics": ["authentication", "jwt tokens"], "quotes": [], "summary": ""}
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lines = _parsed_to_closet_lines(parsed, ["d1", "d2"], "Alice;Bob")
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assert len(lines) == 2
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assert "authentication|Alice;Bob|→d1,d2" in lines
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assert "jwt tokens|Alice;Bob|→d1,d2" in lines
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def test_quotes_and_summary_included(self):
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parsed = {
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"topics": ["t1"],
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"quotes": ["[Igor] we ship Friday"],
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"summary": "Release planning discussion",
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}
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lines = _parsed_to_closet_lines(parsed, ["d1"], "")
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joined = "\n".join(lines)
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assert "we ship Friday" in joined
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assert "Release planning discussion" in joined
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def test_caps_topics_at_15(self):
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parsed = {"topics": [f"t{i}" for i in range(20)], "quotes": [], "summary": ""}
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lines = _parsed_to_closet_lines(parsed, ["d1"], "")
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assert len(lines) == 15
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# ── _call_llm (HTTP mocked) ──────────────────────────────────────────────
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class _FakeResp:
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"""Mimics urlopen's context-manager response."""
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def __init__(self, payload: dict, status: int = 200):
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self._body = json.dumps(payload).encode("utf-8")
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self.status = status
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def __enter__(self):
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return self
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def __exit__(self, *a):
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return False
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def read(self):
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return self._body
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class TestCallLLM:
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def _make_cfg(self):
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return LLMConfig(endpoint="http://localhost:11434/v1", key="sk-test", model="llama3:8b")
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def test_request_shape_and_parsing(self):
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cfg = self._make_cfg()
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captured = {}
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def fake_urlopen(req, timeout=None):
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captured["url"] = req.full_url
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captured["headers"] = dict(req.header_items())
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captured["body"] = json.loads(req.data.decode("utf-8"))
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return _FakeResp(
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{
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"choices": [
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{
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"message": {
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"content": json.dumps(
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{
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"topics": ["postgres"],
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"quotes": ["[Igor] migrate now"],
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"summary": "db migration",
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}
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)
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}
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}
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],
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"usage": {"prompt_tokens": 42, "completion_tokens": 17},
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}
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)
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with patch("urllib.request.urlopen", side_effect=fake_urlopen):
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parsed, usage = _call_llm(cfg, "/tmp/test.md", "w", "r", "content body")
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assert parsed["topics"] == ["postgres"]
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assert usage["prompt_tokens"] == 42
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assert captured["url"] == "http://localhost:11434/v1/chat/completions"
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# Authorization header is stored capitalized-then-lowercase depending on urllib version
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auth_vals = {v for k, v in captured["headers"].items() if k.lower() == "authorization"}
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assert "Bearer sk-test" in auth_vals
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assert captured["body"]["model"] == "llama3:8b"
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assert captured["body"]["messages"][0]["role"] == "user"
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def test_omits_auth_header_when_no_key(self):
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cfg = LLMConfig(endpoint="http://localhost:11434/v1", model="llama3:8b")
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captured_headers = {}
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def fake_urlopen(req, timeout=None):
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captured_headers.update({k.lower(): v for k, v in req.header_items()})
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return _FakeResp(
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{
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"choices": [{"message": {"content": '{"topics":[],"quotes":[],"summary":""}'}}],
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"usage": {"prompt_tokens": 0, "completion_tokens": 0},
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}
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)
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with patch("urllib.request.urlopen", side_effect=fake_urlopen):
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_call_llm(cfg, "/tmp/x", "w", "r", "c")
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assert "authorization" not in captured_headers
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def test_strips_code_fences(self):
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cfg = self._make_cfg()
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fenced = '```json\n{"topics":["t1"],"quotes":[],"summary":""}\n```'
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def fake_urlopen(req, timeout=None):
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return _FakeResp(
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{
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"choices": [{"message": {"content": fenced}}],
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"usage": {"prompt_tokens": 1, "completion_tokens": 1},
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}
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)
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with patch("urllib.request.urlopen", side_effect=fake_urlopen):
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parsed, _ = _call_llm(cfg, "/tmp/x", "w", "r", "c")
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assert parsed == {"topics": ["t1"], "quotes": [], "summary": ""}
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def test_returns_none_on_invalid_json(self):
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cfg = self._make_cfg()
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def fake_urlopen(req, timeout=None):
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return _FakeResp(
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{
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"choices": [{"message": {"content": "not json at all"}}],
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"usage": {"prompt_tokens": 1, "completion_tokens": 1},
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}
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)
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with patch("urllib.request.urlopen", side_effect=fake_urlopen):
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parsed, usage = _call_llm(cfg, "/tmp/x", "w", "r", "c")
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assert parsed is None
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# ── regenerate_closets error paths ───────────────────────────────────────
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class TestRegenerateClosets:
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def test_missing_config_returns_error(self, monkeypatch):
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monkeypatch.delenv("LLM_ENDPOINT", raising=False)
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monkeypatch.delenv("LLM_MODEL", raising=False)
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with tempfile.TemporaryDirectory() as palace:
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result = regenerate_closets(palace)
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assert result["error"] == "missing-config"
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assert any("ENDPOINT" in m for m in result["missing"])
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2026-04-13 18:40:36 -03:00
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def test_regen_purges_regex_closets_and_stamps_normalize_version(self, tmp_path):
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"""Regression: before the hardening, regex closets for the same
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source survived alongside fresh LLM closets (the old path used a
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bare ``closets_col.delete(ids=...)`` with a swallowed exception).
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Now we go through ``purge_file_closets`` + ``mine_lock`` + stamp
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``NORMALIZE_VERSION`` so the next mine's stale-version gate doesn't
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treat the LLM closets as leftovers to rebuild over."""
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from mempalace.palace import (
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NORMALIZE_VERSION,
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get_closets_collection,
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get_collection,
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upsert_closet_lines,
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)
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palace = str(tmp_path / "palace")
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# Seed one drawer and a pre-existing regex closet for the same source.
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source = "/proj/story.md"
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drawers = get_collection(palace, create=True)
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drawers.upsert(
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ids=["drawer_01"],
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documents=["Content about JWT authentication."],
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metadatas=[
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{
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"wing": "project",
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"room": "auth",
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"source_file": source,
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"entities": "",
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}
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],
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)
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closets = get_closets_collection(palace)
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upsert_closet_lines(
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closets,
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closet_id_base="closet_old_regex",
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lines=["STALE_REGEX_TOPIC|;|→drawer_01"],
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metadata={
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"wing": "project",
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"room": "auth",
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"source_file": source,
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"generated_by": "regex",
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},
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)
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cfg = LLMConfig(endpoint="http://local/v1", model="llama3:8b")
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def fake_urlopen(req, timeout=None):
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return _FakeResp(
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{
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"choices": [
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{
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"message": {
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"content": json.dumps(
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{
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"topics": ["jwt auth", "session expiry"],
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"quotes": [],
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"summary": "auth refactor",
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}
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)
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}
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}
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],
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"usage": {"prompt_tokens": 10, "completion_tokens": 5},
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}
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)
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with patch("urllib.request.urlopen", side_effect=fake_urlopen):
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result = regenerate_closets(palace, cfg=cfg)
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assert result["processed"] == 1 and result["failed"] == 0
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# Every surviving closet for this source must be LLM-generated and
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# must carry the current NORMALIZE_VERSION.
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survivors = closets.get(where={"source_file": source}, include=["documents", "metadatas"])
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assert survivors["ids"], "LLM closets should have been written"
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joined = "\n".join(survivors["documents"])
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assert (
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"STALE_REGEX_TOPIC" not in joined
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), "pre-existing regex closet was not purged before LLM write"
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assert "jwt auth" in joined
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for meta in survivors["metadatas"]:
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assert meta.get("generated_by", "").startswith("llm:")
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assert meta.get("normalize_version") == NORMALIZE_VERSION
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def test_regen_uses_basename_not_split_slash(self, tmp_path, monkeypatch):
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"""Regression: the old closet_id base used ``source.split('/')[-1]``
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which silently degrades on Windows paths (``C:\\proj\\a.md`` →
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the whole string). ``os.path.basename`` handles both separators."""
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from mempalace.palace import get_collection, get_closets_collection
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palace = str(tmp_path / "palace")
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# Use a path whose basename differs between '/' split and
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# os.path.basename only on a platform-aware function, but verify
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# at minimum that IDs encode just the filename, not the full path.
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source = "/deep/nested/project/dir/mydoc.md"
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drawers = get_collection(palace, create=True)
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drawers.upsert(
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ids=["d1"],
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documents=["body"],
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metadatas=[{"wing": "w", "room": "r", "source_file": source, "entities": ""}],
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)
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cfg = LLMConfig(endpoint="http://local/v1", model="m")
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|
|
def fake_urlopen(req, timeout=None):
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|
|
|
|
return _FakeResp(
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|
|
{
|
|
|
|
|
"choices": [
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|
|
|
{"message": {"content": '{"topics":["t1"],"quotes":[],"summary":""}'}}
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|
|
],
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|
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|
|
"usage": {"prompt_tokens": 1, "completion_tokens": 1},
|
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|
|
|
}
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|
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|
|
)
|
|
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|
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|
|
with patch("urllib.request.urlopen", side_effect=fake_urlopen):
|
|
|
|
|
regenerate_closets(palace, cfg=cfg)
|
|
|
|
|
|
|
|
|
|
closets = get_closets_collection(palace)
|
|
|
|
|
ids = closets.get(where={"source_file": source}).get("ids", [])
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|
|
|
|
assert ids
|
|
|
|
|
# IDs must not leak the full path (would happen if we used
|
|
|
|
|
# source.split('/')[-1] on Windows, or forgot to strip entirely).
|
|
|
|
|
for cid in ids:
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|
|
|
|
assert "/" not in cid
|
|
|
|
|
assert "mydoc.md" in cid
|