feat(migration): phase 1 — Session + Tracer + RunConfig factory
Three foundation modules per PLAYBOOK §2.8 / §2.9 / §2.10 with all
relevant R2/R3 corrections (C7, C10, C11, C16, C21):
strix/llm/strix_session.py SessionABC wrapper around the
legacy MemoryCompressor; on any
compression failure, returns
uncompressed history and
permanently disables compression
for the rest of the run (C10 +
Round 3.4 W5/E2).
strix/telemetry/strix_processor.py SDK TracingProcessor that writes
events.jsonl in our schema. All
hooks SYNC per ABC (F3); writes
protected by per-path
threading.Lock (C7); OSError
swallowed and logged (C16); PII
scrubbed via the existing
TelemetrySanitizer.
strix/run_config_factory.py make_run_config() with our
defaults: parallel_tool_calls=
False (C1 Phase-1 safe default),
retry policy explicitly excludes
401/403/400 (C11), reasoning
effort + model_settings_override
merge path (C21).
make_agent_context() returns the
canonical per-agent dict
including is_whitebox/diff_scope/
run_id (C21).
32 new smoke tests (197/197 total). mypy strict + ruff clean. Per-file
ignores added for tests/** S105/PT018 and for the two new src modules'
intentional broad-Exception catches (BLE001).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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"""Phase 1 smoke tests for StrixTracingProcessor."""
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from __future__ import annotations
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import json
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import threading
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Any
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import pytest
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from strix.telemetry.strix_processor import StrixTracingProcessor
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@dataclass
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class _FakeSpanData:
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"""Minimal stand-in for an SDK SpanData class."""
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name: str = "FunctionSpanData" # used by class .__name__
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payload: dict[str, Any] = field(default_factory=dict)
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def export(self) -> dict[str, Any]:
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return dict(self.payload)
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# Concrete SpanData subclasses so the processor's ``_span_kind`` heuristic
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# (drop ``SpanData`` suffix, lowercase) produces stable event_types.
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class FunctionSpanData(_FakeSpanData):
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pass
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class GenerationSpanData(_FakeSpanData):
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pass
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class AgentSpanData(_FakeSpanData):
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pass
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@dataclass
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class _FakeSpan:
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span_id: str
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trace_id: str
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span_data: _FakeSpanData
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@dataclass
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class _FakeTrace:
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trace_id: str
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name: str = "test-workflow"
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metadata: dict[str, Any] = field(default_factory=dict)
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def export(self) -> dict[str, Any]:
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return {"name": self.name, "metadata": self.metadata}
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def _read_events(path: Path) -> list[dict[str, Any]]:
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return [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
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@pytest.fixture
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def run_dir(tmp_path: Path) -> Path:
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return tmp_path / "strix_runs" / "test-run"
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def test_constructor_creates_run_dir(run_dir: Path) -> None:
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StrixTracingProcessor(run_dir=run_dir)
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assert run_dir.exists()
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def test_on_trace_start_writes_run_started(run_dir: Path) -> None:
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p = StrixTracingProcessor(run_dir=run_dir)
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p.on_trace_start(_FakeTrace(trace_id="t-1", metadata={"scan_id": "abc"}))
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events = _read_events(p.events_path)
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assert events == [
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{
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"event_type": "run.started",
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"trace_id": "t-1",
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"metadata": {"name": "test-workflow", "metadata": {"scan_id": "abc"}},
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}
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]
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def test_on_trace_end_writes_run_completed(run_dir: Path) -> None:
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p = StrixTracingProcessor(run_dir=run_dir)
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p.on_trace_end(_FakeTrace(trace_id="t-1"))
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events = _read_events(p.events_path)
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assert events == [{"event_type": "run.completed", "trace_id": "t-1"}]
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def test_span_start_and_end_emit_typed_events(run_dir: Path) -> None:
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"""``GenerationSpanData`` → ``generation.started`` / ``generation.completed``."""
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p = StrixTracingProcessor(run_dir=run_dir)
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span = _FakeSpan(
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span_id="s-1",
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trace_id="t-1",
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span_data=GenerationSpanData(payload={"model": "gpt-foo"}),
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)
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p.on_span_start(span)
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p.on_span_end(span)
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events = _read_events(p.events_path)
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assert [e["event_type"] for e in events] == [
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"generation.started",
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"generation.completed",
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]
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assert events[0]["span_id"] == "s-1"
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assert events[0]["data"] == {"model": "gpt-foo"}
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def test_concurrent_writes_yield_valid_jsonl(run_dir: Path) -> None:
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"""C7 (AUDIT_R2): per-path lock prevents JSONL corruption under contention."""
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p = StrixTracingProcessor(run_dir=run_dir)
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def writer(idx: int) -> None:
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for i in range(50):
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p._emit({"event_type": "synthetic", "writer": idx, "i": i})
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threads = [threading.Thread(target=writer, args=(i,)) for i in range(10)]
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for t in threads:
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t.start()
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for t in threads:
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t.join()
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# 10 threads x 50 events = 500 lines; all valid JSON.
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lines = p.events_path.read_text().splitlines()
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assert len(lines) == 500
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for line in lines:
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json.loads(line) # raises on corrupt line
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def test_emit_swallows_oserror_and_logs(
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run_dir: Path,
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caplog: pytest.LogCaptureFixture,
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) -> None:
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"""C16 (AUDIT_R3): a write failure must NOT propagate."""
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p = StrixTracingProcessor(run_dir=run_dir)
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# Make events_path point to a directory so open(..., "a") raises.
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p.events_path = run_dir
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with caplog.at_level("ERROR", logger="strix.telemetry.strix_processor"):
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p._emit({"event_type": "boom"})
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assert any("Failed to append" in rec.message for rec in caplog.records)
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def test_span_export_failure_does_not_propagate(run_dir: Path) -> None:
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"""If span_data.export raises, we still emit an event with data=None."""
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p = StrixTracingProcessor(run_dir=run_dir)
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class _BoomSpanData:
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def export(self) -> dict[str, Any]:
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raise RuntimeError("nope")
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# Reuse the lowercase rule: class name has no "SpanData" suffix → "boomspandata"
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# would not be ideal; use a properly-named subclass.
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class FunctionSpanDataBroken(_BoomSpanData):
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pass
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span = _FakeSpan(span_id="s-1", trace_id="t-1", span_data=FunctionSpanDataBroken())
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p.on_span_end(span)
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events = _read_events(p.events_path)
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assert len(events) == 1
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assert events[0]["data"] is None
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def test_pii_scrubbed_via_sanitizer(run_dir: Path) -> None:
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"""Sanitizer is invoked on every emit before write."""
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seen: list[Any] = []
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class _StubSanitizer:
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def sanitize(self, data: Any, key_hint: str | None = None) -> Any:
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seen.append(data)
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# Replace any "secret" string with [REDACTED].
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if isinstance(data, dict):
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clean = {k: "[REDACTED]" if k == "api_key" else v for k, v in data.items()}
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if "metadata" in clean and isinstance(clean["metadata"], dict):
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md = dict(clean["metadata"])
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md.pop("api_key", None)
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clean["metadata"] = md
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return clean
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return data
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p = StrixTracingProcessor(run_dir=run_dir, sanitizer=_StubSanitizer())
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p._emit({"event_type": "test", "api_key": "sk-very-secret"})
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events = _read_events(p.events_path)
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assert events[0]["api_key"] == "[REDACTED]"
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assert seen and seen[0]["api_key"] == "sk-very-secret"
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def test_force_flush_and_shutdown_are_noops(run_dir: Path) -> None:
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p = StrixTracingProcessor(run_dir=run_dir)
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# Should not raise.
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p.force_flush()
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p.shutdown()
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