headroom/tests/test_persistent_metrics_persistence.py
Jervis 0537cbfde4
feat(dashboard): persist lifetime proxy metrics (#2198)
## Description

Persist bounded, aggregate-only Lifetime dashboard metrics across proxy
restarts and expose them through a new `/stats-lifetime` endpoint. The
change keeps session/runtime stats separate from durable lifetime stats,
gates sensitive dashboard metadata for loopback or explicitly trusted
dashboard clients, and updates the dashboard Lifetime view to consume
the new endpoint.

Closes #2137

## Type of Change

- [ ] Bug fix (non-breaking change that fixes an issue)
- [x] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [x] Code refactoring (no functional changes)

## Changes Made

- Added bounded persistent lifetime metrics state and wired proxy metric
events into it.
- Added `/stats-lifetime` with sensitive project/persistence details
gated behind dashboard metadata access checks.
- Extended loopback/dashboard metadata access policy for trusted
dashboard client CIDRs without widening admin/debug endpoints.
- Reorganized dashboard session/lifetime presentation around runtime
counters versus durable aggregates.
- Added focused tests for persistent aggregation, persistence, endpoint
registration, loopback gating, trusted dashboard CIDRs, and recent
request ordering.
- Fixed current Ruff/mypy issues in the lifetime metrics normalization
code.

## Testing

- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check`)
- [x] Type checking passes (`mypy`)
- [x] New tests added for new functionality
- [x] Manual testing performed

### Test Output

```text
uv run --extra proxy --with pytest --with pytest-asyncio pytest tests/test_persistent_metrics.py tests/test_persistent_metrics_integration.py tests/test_persistent_metrics_persistence.py tests/test_proxy_loopback_gating.py tests/test_proxy_stats_recent_requests.py -q
53 passed, 1 warning

uvx ruff==0.15.17 check headroom/proxy/forwarded_headers.py headroom/proxy/loopback_guard.py headroom/proxy/persistent_metrics.py headroom/proxy/savings_tracker.py headroom/proxy/server.py tests/test_forwarded_headers.py tests/test_persistent_metrics.py tests/test_persistent_metrics_integration.py tests/test_persistent_metrics_persistence.py tests/test_proxy_loopback_gating.py tests/test_proxy_project_savings.py tests/test_proxy_stats_recent_requests.py
All checks passed!

uv run --extra proxy --with mypy mypy headroom/proxy/persistent_metrics.py
Success: no issues found in 1 source file
```

## Real Behavior Proof

- Environment: Windows review worktree, Python 3.13.3 via uv.
- Exact command / steps: Ran the focused persistent metrics,
persistence, loopback gating, and recent request tests; ran CI-matching
Ruff on touched files; ran mypy on the new persistent metrics module.
- Observed result: `/stats-lifetime` is registered, non-loopback callers
receive only non-sensitive aggregate data, loopback/trusted dashboard
clients receive the full lifetime payload, admin/debug endpoints remain
loopback-only, and persistent metrics normalize malformed stored state
without type/lint errors.
- Not tested: Full repository pytest suite, full dashboard browser
screenshot pass, or live long-running proxy traffic.

## Review Readiness

- [x] I have performed a self-review
- [x] This PR is ready for human review

## Checklist

- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable

## Screenshots (if applicable)

N/A

## Additional Notes

No changelog entry is required for this dashboard/internal metrics
iteration. The endpoint intentionally exposes only aggregate lifetime
data to ordinary network callers and strips project/persistence details
unless the caller passes the dashboard metadata access policy.

---------

Co-authored-by: JerrettDavis <mxjerrett@gmail.com>
2026-07-15 18:18:13 +00:00

87 lines
3.1 KiB
Python

"""Tests schema v5 persistence around the pure Lifetime aggregate."""
from __future__ import annotations
import json
from headroom.proxy.savings_tracker import SavingsTracker
def test_savings_tracker_migrates_v4_lifetime_to_v5_metrics_and_preserves_legacy_state(tmp_path):
path = tmp_path / "proxy_savings.json"
legacy_state = {
"schema_version": 4,
"lifetime": {
"requests": 7,
"tokens_saved": 20,
"compression_savings_usd": 0.5,
"cache_read_tokens": 5,
"cache_savings_usd": 0.2,
"total_input_tokens": 80,
"total_input_cost_usd": 1.5,
},
"display_session": {
"requests": 2,
"tokens_saved": 4,
"compression_savings_usd": 0.1,
"cache_read_tokens": 1,
"cache_savings_usd": 0.01,
"total_input_tokens": 10,
"total_input_cost_usd": 0.2,
"started_at": "2026-07-01T00:00:00Z",
"last_activity_at": "2026-07-02T00:00:00Z",
},
"history": [
{
"timestamp": "2026-07-02T00:00:00Z",
"total_tokens_saved": 20,
"compression_savings_usd": 0.5,
"total_input_tokens": 80,
"total_input_cost_usd": 1.5,
}
],
"projects": {"keep-me": {"requests": 1}},
}
path.write_text(json.dumps(legacy_state), encoding="utf-8")
tracker = SavingsTracker(path=str(path), save_flush_every=25)
lifetime = tracker.lifetime_response()
assert lifetime["schema_version"] == 5
assert lifetime["requests"]["total"] == 7
assert lifetime["tokens"]["input"] == 80
assert lifetime["tokens"]["attempted_input"] == 100
assert lifetime["tokens"]["saved"] == 20
assert lifetime["prefix_cache"]["cache_read_tokens"] == 5
assert lifetime["cost"] == {
"input_usd": 1.5,
"compression_savings_usd": 0.5,
"cache_savings_usd": 0.2,
}
assert lifetime["by_model"]["other"]["input_tokens"] == 80
tracker.flush()
saved = json.loads(path.read_text(encoding="utf-8"))
assert saved["schema_version"] == 5
assert saved["lifetime"] == legacy_state["lifetime"]
assert saved["display_session"]["requests"] == 2
assert saved["projects"]["keep-me"]["requests"] == 1
assert saved["lifetime_metrics"]["models"]["other"]["input_tokens"] == 80
assert isinstance(saved["lifetime_metrics"]["persistence"]["last_saved_at"], str)
def test_lifetime_response_reports_stateless_mode_without_writing(tmp_path):
path = tmp_path / "proxy_savings.json"
tracker = SavingsTracker(path=str(path), stateless=True, save_flush_every=1)
tracker.record_lifetime_request(provider="openai", stack="codex", model="gpt-test", input_tokens=3)
response = tracker.lifetime_response()
assert response["persistence"] == {
"enabled": False,
"healthy": True,
"error": "Lifetime metrics unavailable in stateless mode",
"pending_records": 0,
"last_saved_at": None,
}
assert path.exists() is False