mirror of
https://github.com/headroomlabs-ai/headroom.git
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## Description
The `test` and `test-extras` CI jobs are currently red on `main`:
`tests/test_cache/test_dynamic_detector.py::TestSemanticDetectorGuards::test_none_exemplars_early_return`
fails. This PR fixes the underlying regression. It is independent of any
feature branch (it only touches `headroom/cache/dynamic_detector.py` and
its test).
#950 folded the exemplar-embeddings None-check into the model
None-guard:
```python
if self._model is None or self._exemplar_embeddings is None:
return [], self._load_error or "semantic detector is not initialized"
```
So a `SemanticDetector` with a loaded model but unset exemplar
embeddings now returns the generic *"semantic detector is not
initialized"* message, shadowing the specific *"exemplar embeddings not
initialized"* message and leaving the later guard as unreachable dead
code. That directly contradicts #950's own
`test_none_exemplars_early_return`, which asserts the specific message —
hence the red main.
## Type of Change
- [ ] New feature
- [x] Bug fix (non-breaking change which fixes an issue)
- [ ] Breaking change
- [ ] Documentation
## Changes Made
- `SemanticDetector.detect`: split the combined guard into two checks —
`_model` then `_exemplar_embeddings` — both *before* `encode()`. The
model-missing case keeps the generic message; the exemplar-missing case
reports the specific *"exemplar embeddings not initialized"*. Checking
before `encode()` avoids a wasted encode in the error path and preserves
the mypy narrowing for `np.dot(..., self._exemplar_embeddings.T)`. The
previously-shadowed duplicate guard is removed.
- `tests/test_cache/test_dynamic_detector.py`:
`test_missing_exemplar_embeddings_returns_warning` sets the same
model-present / exemplar-None state, so its assertion is aligned to the
specific message to match `test_none_exemplars_early_return`.
## Testing
- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] New and existing unit tests pass locally with my changes
### Test Output
```text
$ pytest tests/test_cache/test_dynamic_detector.py -q
38 passed, 2 skipped in 9.94s
$ pytest tests/test_cache/ -q
198 passed, 2 skipped in 11.58s
$ ruff check headroom/cache/dynamic_detector.py tests/test_cache/test_dynamic_detector.py
All checks passed!
$ ruff format --check headroom/cache/dynamic_detector.py tests/test_cache/test_dynamic_detector.py
2 files already formatted
$ mypy headroom/cache/dynamic_detector.py
Success: no issues found in 1 source file
```
## Real Behavior Proof
- Environment: local macOS, repo .venv, Python 3.11.9, numpy installed
- Exact command / steps: construct a `SemanticDetector` via
`object.__new__` with `_model` set (mock) and `_exemplar_embeddings =
None`, then call `.detect(...)`. Before fix: on `upstream/main`
(7c8c909c) `test_none_exemplars_early_return` fails with `assert
'semantic detector is not initialized' == 'exemplar embeddings not
initialized'`. After fix: full file 38 passed, full `tests/test_cache/`
198 passed.
- Observed result: model-present + exemplar-None now returns `(spans=[],
"exemplar embeddings not initialized")`; model-None still returns the
generic message; `np.dot` is never reached with a None matrix.
- Not tested: live model load / real embeddings — the guards are the
unavailable-state paths, exercised via the existing mock-based unit
tests.
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review
## Additional Notes
This takes the **specific-message** direction because it matches #950's
newest test, the original (now-dead) specific guard string, and gives a
more actionable warning. The conservative **alternative** — keep the
generic unified message, delete the dead specific guard, and update
`test_none_exemplars_early_return` to assert the generic string — also
turns CI green with no production behavior change. Happy to switch to
that if you prefer; it's your call on the intended contract.
557 lines
19 KiB
Python
557 lines
19 KiB
Python
"""Tests for the dynamic content detector."""
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import pytest
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from headroom.cache.dynamic_detector import (
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DetectionResult,
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DetectorConfig,
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DynamicCategory,
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DynamicContentDetector,
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RegexDetector,
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detect_dynamic_content,
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)
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class TestRegexDetector:
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"""Test the Tier 1 regex detector."""
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@pytest.fixture
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def detector(self):
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"""Create a regex detector."""
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config = DetectorConfig(tiers=["regex"])
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return RegexDetector(config)
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def test_iso_date(self, detector):
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"""Test ISO date detection."""
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spans = detector.detect("The date is 2024-01-15.")
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assert len(spans) == 1
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assert spans[0].text == "2024-01-15"
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assert spans[0].category == DynamicCategory.DATE
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assert spans[0].tier == "regex"
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def test_structural_detection(self, detector):
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"""Test structural detection via 'Label: value' patterns."""
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# New scalable approach: detect via structural "Today: value" pattern
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spans = detector.detect("Date: 2024-01-15")
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assert len(spans) == 1
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assert spans[0].text == "2024-01-15"
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assert spans[0].category == DynamicCategory.DATE
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# Test user label detection
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spans = detector.detect("User: john.doe@example.com")
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user_spans = [s for s in spans if s.category == DynamicCategory.USER_DATA]
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assert len(user_spans) == 1
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def test_datetime_iso(self, detector):
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"""Test ISO datetime detection."""
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spans = detector.detect("Timestamp: 2024-01-15T10:30:00Z")
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assert len(spans) == 1
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assert spans[0].text == "2024-01-15T10:30:00Z"
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assert spans[0].category == DynamicCategory.DATETIME
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def test_uuid(self, detector):
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"""Test UUID detection."""
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spans = detector.detect("ID: 550e8400-e29b-41d4-a716-446655440000")
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assert len(spans) == 1
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assert spans[0].text == "550e8400-e29b-41d4-a716-446655440000"
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assert spans[0].category == DynamicCategory.UUID
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def test_request_id(self, detector):
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"""Test request ID detection."""
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spans = detector.detect("Request: req_abc123def456ghi789")
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assert len(spans) == 1
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assert "req_" in spans[0].text
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assert spans[0].category == DynamicCategory.REQUEST_ID
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def test_unix_timestamp(self, detector):
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"""Test Unix timestamp detection."""
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spans = detector.detect("Time: 1705312200")
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assert len(spans) == 1
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assert spans[0].text == "1705312200"
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assert spans[0].category == DynamicCategory.TIMESTAMP
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def test_time(self, detector):
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"""Test time detection."""
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spans = detector.detect("Meeting at 10:30 AM")
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assert len(spans) == 1
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assert spans[0].text == "10:30 AM"
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assert spans[0].category == DynamicCategory.TIME
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def test_version(self, detector):
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"""Test version number detection."""
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spans = detector.detect("Running v2.3.1-beta")
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assert len(spans) == 1
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assert spans[0].text == "v2.3.1-beta"
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assert spans[0].category == DynamicCategory.VERSION
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def test_date_prefix_pattern(self, detector):
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"""Test full date prefix phrase detection."""
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spans = detector.detect("Today is Monday, January 15, 2024. You are an assistant.")
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assert len(spans) >= 1
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# Should detect the full phrase
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date_spans = [s for s in spans if s.category == DynamicCategory.DATE]
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assert len(date_spans) >= 1
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def test_multiple_dynamic_elements(self, detector):
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"""Test detecting multiple dynamic elements."""
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content = """
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Date: 2024-01-15
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Time: 10:30:00
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Request ID: req_abc123def456ghi789xyz
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UUID: 550e8400-e29b-41d4-a716-446655440000
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"""
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spans = detector.detect(content)
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assert len(spans) == 4
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categories = {s.category for s in spans}
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assert DynamicCategory.DATE in categories
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assert DynamicCategory.TIME in categories
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assert DynamicCategory.REQUEST_ID in categories
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assert DynamicCategory.UUID in categories
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def test_no_false_positives_on_static(self, detector):
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"""Test that static content doesn't trigger false positives."""
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spans = detector.detect("You are a helpful assistant. Answer questions clearly.")
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assert len(spans) == 0
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def test_positions_are_correct(self, detector):
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"""Test that span positions are correct."""
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content = "Date: 2024-01-15"
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spans = detector.detect(content)
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assert len(spans) == 1
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assert content[spans[0].start : spans[0].end] == spans[0].text
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class TestDynamicContentDetector:
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"""Test the unified dynamic content detector."""
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def test_regex_only(self):
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"""Test detector with regex tier only."""
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config = DetectorConfig(tiers=["regex"])
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detector = DynamicContentDetector(config)
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result = detector.detect("Today is 2024-01-15. You are helpful.")
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assert len(result.spans) == 1
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assert result.spans[0].text == "2024-01-15"
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assert "regex" in result.tiers_used
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assert result.processing_time_ms < 10 # Should be very fast
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def test_static_dynamic_split(self):
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"""Test that content is properly split."""
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config = DetectorConfig(tiers=["regex"])
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detector = DynamicContentDetector(config)
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result = detector.detect("Today is 2024-01-15. You are helpful.")
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assert "2024-01-15" not in result.static_content
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assert "2024-01-15" in result.dynamic_content
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assert "You are helpful" in result.static_content
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def test_complex_content(self):
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"""Test with realistic system prompt."""
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config = DetectorConfig(tiers=["regex"])
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detector = DynamicContentDetector(config)
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content = """You are a helpful AI assistant.
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Today is January 15, 2024.
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Current session: sess_abc123def456ghi789xyz
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Instructions:
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1. Be concise
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2. Be accurate
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3. Be helpful
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Request ID: req_xyz789abc123def456ghi"""
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result = detector.detect(content)
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# Should find date, session ID, request ID
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assert len(result.spans) >= 2
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categories = {s.category for s in result.spans}
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assert DynamicCategory.DATE in categories or DynamicCategory.REQUEST_ID in categories
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def test_empty_content(self):
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"""Test with empty content."""
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detector = DynamicContentDetector()
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result = detector.detect("")
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assert len(result.spans) == 0
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assert result.static_content == ""
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assert result.dynamic_content == ""
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def test_no_dynamic_content(self):
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"""Test with fully static content."""
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detector = DynamicContentDetector()
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content = "You are a helpful assistant. Answer questions clearly and concisely."
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result = detector.detect(content)
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assert len(result.spans) == 0
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assert result.static_content == content
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assert result.dynamic_content == ""
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def test_custom_patterns(self):
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"""Test adding custom regex patterns."""
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config = DetectorConfig(
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tiers=["regex"],
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custom_patterns=[
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(r"CUSTOM_\d{4}", DynamicCategory.REQUEST_ID),
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],
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)
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detector = DynamicContentDetector(config)
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result = detector.detect("Code: CUSTOM_1234")
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custom_spans = [s for s in result.spans if s.text == "CUSTOM_1234"]
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assert len(custom_spans) == 1
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def test_available_tiers(self):
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"""Test that available_tiers reflects actual availability."""
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config = DetectorConfig(tiers=["regex", "ner", "semantic"])
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detector = DynamicContentDetector(config)
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# Regex should always be available
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assert "regex" in detector.available_tiers
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# NER and semantic depend on optional dependencies
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# They may or may not be available
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def test_warnings_for_missing_dependencies(self):
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"""Test that warnings are generated for missing dependencies."""
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config = DetectorConfig(tiers=["regex", "ner", "semantic"])
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detector = DynamicContentDetector(config)
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detector.detect("Test content")
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# If NER/semantic not installed, should have warnings
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# (This test passes either way - it's informational)
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# If deps ARE installed, no warnings. If not, warnings present.
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class TestConvenienceFunction:
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"""Test the detect_dynamic_content convenience function."""
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def test_basic_usage(self):
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"""Test basic convenience function usage."""
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result = detect_dynamic_content("Date: 2024-01-15")
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assert isinstance(result, DetectionResult)
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assert len(result.spans) == 1
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assert result.spans[0].text == "2024-01-15"
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def test_with_tiers(self):
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"""Test specifying tiers."""
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result = detect_dynamic_content(
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"Date: 2024-01-15",
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tiers=["regex"],
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)
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assert "regex" in result.tiers_used
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class TestEntropyDetection:
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"""Test entropy-based detection for random IDs/tokens."""
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def test_high_entropy_string(self):
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"""Test that high-entropy strings are detected."""
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from headroom.cache.dynamic_detector import calculate_entropy
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# High entropy strings (random-looking)
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assert calculate_entropy("abc123xyz789def") > 0.7
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assert calculate_entropy("550e8400e29b41d4") > 0.7
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# Low entropy strings (repetitive)
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assert calculate_entropy("aaaaaaaaaa") < 0.3
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assert calculate_entropy("abababab") < 0.6
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def test_entropy_detection_finds_ids(self):
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"""Test that entropy detection finds random IDs."""
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detector = DynamicContentDetector()
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# Random-looking ID that isn't covered by universal patterns
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result = detector.detect("Auth: xK7mN2pQr9sT4vW")
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# Should find the ID via entropy or structural detection
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assert len(result.spans) >= 1
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def test_entropy_skips_common_words(self):
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"""Test that common words aren't flagged as high-entropy."""
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detector = DynamicContentDetector()
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# These words have mixed case/numbers but aren't IDs
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result = detector.detect("Use username and password correctly.")
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# "username" and "password" shouldn't be detected
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flagged_words = [s.text for s in result.spans]
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assert "username" not in flagged_words
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assert "password" not in flagged_words
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class TestEdgeCases:
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"""Test edge cases and tricky inputs."""
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def test_overlapping_patterns(self):
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"""Test that overlapping patterns don't cause duplicates."""
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detector = DynamicContentDetector()
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# ISO datetime contains ISO date - shouldn't match both
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result = detector.detect("Time: 2024-01-15T10:30:00Z")
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# Should match datetime, not date separately
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assert len(result.spans) == 1
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assert result.spans[0].category == DynamicCategory.DATETIME
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def test_adjacent_dynamic_content(self):
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"""Test adjacent dynamic elements."""
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detector = DynamicContentDetector()
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result = detector.detect("2024-01-15 10:30:00")
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# Should find both date and time
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assert len(result.spans) == 2
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def test_very_long_content(self):
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"""Test with long content."""
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detector = DynamicContentDetector()
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# Create long content with some dynamic parts
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static_parts = ["This is static text. "] * 100
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content = "".join(static_parts) + "Date: 2024-01-15. " + "".join(static_parts)
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result = detector.detect(content)
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assert len(result.spans) == 1
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assert result.processing_time_ms < 100 # Should still be fast
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def test_special_characters(self):
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"""Test content with special characters."""
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detector = DynamicContentDetector()
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content = "Date: 2024-01-15\nUUID: 550e8400-e29b-41d4-a716-446655440000\n\n---\n"
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result = detector.detect(content)
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assert len(result.spans) == 2
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def test_unicode_content(self):
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"""Test with Unicode content."""
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detector = DynamicContentDetector()
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content = "日期: 2024-01-15. Héllo wörld!"
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result = detector.detect(content)
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# Should still find the date
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assert len(result.spans) == 1
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assert result.spans[0].text == "2024-01-15"
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class TestCacheAlignmentScenarios:
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"""Test scenarios relevant to cache alignment."""
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def test_system_prompt_dates(self):
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"""Test extracting dates from system prompts."""
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detector = DynamicContentDetector()
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content = """You are Claude, an AI assistant by Anthropic.
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Today is Monday, January 15, 2024.
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Current time: 10:30 AM PST.
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Your task is to help users with coding questions."""
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result = detector.detect(content)
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# Should extract date and time
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assert len(result.spans) >= 1
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# Static content should not have dates
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assert "2024" not in result.static_content or "January" in result.static_content
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# Dynamic content should have the dates
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assert (
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"January" in result.dynamic_content
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or "2024-01-15" in result.dynamic_content
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or "10:30" in result.dynamic_content
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)
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def test_request_metadata(self):
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"""Test extracting request metadata."""
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detector = DynamicContentDetector()
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content = """Request ID: req_abc123xyz789
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Trace ID: 550e8400-e29b-41d4-a716-446655440000
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Timestamp: 1705312200
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Process the following query:"""
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result = detector.detect(content)
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# Should find request ID, UUID, timestamp
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{s.category for s in result.spans}
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assert len(result.spans) >= 2
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def test_mixed_static_dynamic(self):
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"""Test content with interspersed static and dynamic parts."""
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detector = DynamicContentDetector()
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content = """You are helpful (static).
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Today is 2024-01-15 (dynamic).
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Always be accurate (static).
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Session: sess_abc123xyz789 (dynamic).
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Never lie (static)."""
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result = detector.detect(content)
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# Should find date and session ID
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assert len(result.spans) >= 1
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# Static content should preserve the static parts
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assert "helpful" in result.static_content
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assert "accurate" in result.static_content
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class TestNERDetector:
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"""Test Tier 2 NER detector (if spaCy available)."""
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@pytest.fixture
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def ner_detector(self):
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"""Create detector with NER enabled."""
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from headroom.cache.dynamic_detector import _SPACY_AVAILABLE, NERDetector
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if not _SPACY_AVAILABLE:
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pytest.skip("spaCy not installed")
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config = DetectorConfig(tiers=["ner"])
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detector = NERDetector(config)
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if not detector.is_available:
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pytest.skip("spaCy model not available")
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return detector
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def test_person_detection(self, ner_detector):
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"""Test detecting person names."""
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spans, _ = ner_detector.detect("John Smith sent the message.")
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[s for s in spans if s.category == DynamicCategory.PERSON]
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# NER might or might not detect "John Smith" depending on model
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# This is more of an integration test
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def test_money_detection(self, ner_detector):
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"""Test detecting money amounts."""
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spans, _ = ner_detector.detect("The total is $500.00")
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[s for s in spans if s.category == DynamicCategory.MONEY]
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# May or may not detect depending on spaCy model
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class TestSemanticDetector:
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"""Test Tier 3 semantic detector (if sentence-transformers available)."""
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@pytest.fixture
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def semantic_detector(self):
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"""Create detector with semantic enabled."""
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from headroom.cache.dynamic_detector import (
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_SENTENCE_TRANSFORMERS_AVAILABLE,
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SemanticDetector,
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)
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if not _SENTENCE_TRANSFORMERS_AVAILABLE:
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pytest.skip("sentence-transformers not installed")
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config = DetectorConfig(tiers=["semantic"])
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detector = SemanticDetector(config)
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if not detector.is_available:
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pytest.skip("Embedding model not available")
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return detector
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def test_realtime_detection(self, semantic_detector):
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"""Test detecting real-time/volatile content."""
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content = "The current stock price is updated every minute."
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spans, _ = semantic_detector.detect(content)
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# Should detect this as volatile/realtime
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# Depends on similarity threshold
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def test_missing_exemplar_embeddings_returns_warning(self):
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"""Semantic detector reports unavailable state when embeddings are missing."""
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from headroom.cache.dynamic_detector import SemanticDetector
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detector = object.__new__(SemanticDetector)
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detector.config = DetectorConfig(tiers=["semantic"])
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detector._model = object()
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detector._exemplar_embeddings = None
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detector._load_error = None
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spans, warning = detector.detect("The current stock price changes every minute.")
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assert spans == []
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# Model present but exemplar matrix missing → the warning names the
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# actual missing piece (matches TestSemanticDetectorGuards below).
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assert warning == "exemplar embeddings not initialized"
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class TestIntegrationWithAllTiers:
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"""Integration tests using all available tiers."""
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def test_all_tiers_together(self):
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"""Test running all tiers on complex content."""
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config = DetectorConfig(tiers=["regex", "ner", "semantic"])
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detector = DynamicContentDetector(config)
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content = """Today is January 15, 2024.
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John paid $500 for the service.
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Request ID: req_abc123xyz789.
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The stock price updates in real-time.
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Be helpful and accurate."""
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result = detector.detect(content)
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# Should find at least the regex matches
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assert len(result.spans) >= 1
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# Check processing time is reasonable
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# NER + semantic might add 50-100ms
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assert result.processing_time_ms < 5000 # Very generous timeout
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# Should have used at least regex
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assert "regex" in result.tiers_used
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def test_tier_precedence(self):
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"""Test that earlier tiers take precedence."""
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config = DetectorConfig(tiers=["regex", "ner"])
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detector = DynamicContentDetector(config)
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# Date should be caught by regex, not NER
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result = detector.detect("Date: 2024-01-15")
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assert len(result.spans) == 1
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assert result.spans[0].tier == "regex"
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class TestSemanticDetectorGuards:
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"""Defensive guards in SemanticDetector.detect()."""
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def test_none_exemplars_early_return(self):
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"""detect() must early-return, not crash, when exemplar embeddings
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are unset while a model is present.
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Regression for the `None.T` guard: `is_available` only checks
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`_model`, so `_exemplar_embeddings` can be None at the `np.dot`
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call. The guard returns the method's `(spans, warning)` contract.
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"""
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np = pytest.importorskip("numpy")
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from unittest.mock import MagicMock
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from headroom.cache.dynamic_detector import SemanticDetector
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det = object.__new__(SemanticDetector)
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det._model = MagicMock()
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det._model.encode.return_value = np.zeros((1, 3))
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det._exemplar_embeddings = None
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det._load_error = None
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spans, warning = det.detect("This is a sentence here. Here is another long one.")
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assert spans == []
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assert warning == "exemplar embeddings not initialized"
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