Files
xenia-rs/audit-runs/review-a-step2-natural-trigger/extract_canary_worker_tid.py
MechaCat02 ef93a4fa14 handoff: VSync/event-wedge fixes + iterate 2.A–2.BC research notes
Source changes (dormant parity infra, retained from iterate 2.AI/2.AO):
- xenia-kernel/exports.rs: nt_create_event manual_reset polarity +
  related event wiring
- xenia-gpu/mmio_region.rs: D1MODE_VBLANK_VLINE_STATUS hardcode parity

Also lands the audit-runs/ analysis notes (.md/.txt/.json digests) for the
iterate 2.x VSync/0x10e8/0x1004 wedge investigation. Raw trace dumps
(.jsonl/.gz/.csv/.stdout) and agent worktrees (.claude/) are gitignored as
regenerable local artifacts — see memory + HANDOFF for the running findings.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-05 07:19:08 +02:00

109 lines
4.1 KiB
Python

#!/usr/bin/env python3
"""Find the canary tid that runs the sub_821748F0 worker body and see
what it does in its 155ms lifetime (host_ns 1.935s to ~2.09s).
The spawn semantic-id is 3bd922fbb385c2c9.
"""
import json
import os
from collections import Counter
INPUT = "/home/fabi/RE - Project Sylpheed/xenia-canary/build-cross/bin/Windows/Debug/canary-jitter-1.jsonl"
OUTDIR = os.path.dirname(os.path.abspath(__file__))
TARGET_HSID = "3bd922fbb385c2c9"
# First pass: locate this thread's tid by matching the spawn handle.
target_tid = None
with open(INPUT, "r") as f:
for line in f:
if '"thread.create"' in line and TARGET_HSID in line:
ev = json.loads(line)
if ev.get("payload", {}).get("handle_semantic_id") == TARGET_HSID:
child_handle = TARGET_HSID
print(f" spawn at host_ns={ev['host_ns']}, entry={ev['payload'].get('entry_pc')}")
# The thread's own tid will be in events the thread itself emits.
# Look for the FIRST event whose tid is NOT the parent and whose
# subsequent guest_pc/handle matches this child handle.
break
# We need to find tid by looking at next thread.create's tid_event_idx=0 emission.
# Simpler: scan events after this point for new tid that emits with this handle.
# Canary's convention: each new thread emits its first events under its own tid.
# Better approach: find thread.create events with handle_semantic_id=TARGET_HSID,
# then find the smallest tid > 6 that emits AFTER that timestamp.
T_LO = 1_900_000_000 # 1.9s
T_HI = 3_000_000_000 # 3.0s
events_by_tid = {}
with open(INPUT, "r") as f:
for line in f:
if '"host_ns":' not in line:
continue
try:
i = line.index('"host_ns":') + len('"host_ns":')
j = i
while j < len(line) and (line[j].isdigit() or line[j] == '-'):
j += 1
host_ns = int(line[i:j])
except (ValueError, IndexError):
continue
if host_ns < T_LO:
continue
if host_ns >= T_HI:
break
try:
ev = json.loads(line)
except json.JSONDecodeError:
continue
tid = ev.get("tid")
if tid is None:
continue
events_by_tid.setdefault(tid, []).append(ev)
# tid=6 is parent. Look for new tids that emit between 1.935s and 2.1s.
print("\n=== tids active in window [1.9..3.0s] ===")
for tid, evts in sorted(events_by_tid.items()):
if not evts:
continue
first_ns = evts[0]["host_ns"]
last_ns = evts[-1]["host_ns"]
print(f" tid={tid}: {len(evts)} events from {first_ns/1e9:.4f}s to {last_ns/1e9:.4f}s")
# Find tid that spawns at ~1.935s and ends at ~2.09s.
candidate_tid = None
for tid, evts in events_by_tid.items():
if tid == 6:
continue
first_ns = evts[0]["host_ns"]
if first_ns < 1_930_000_000 or first_ns > 1_960_000_000:
continue
# Check exit time.
last_ns = evts[-1]["host_ns"]
print(f" CANDIDATE tid={tid}: first={first_ns/1e9:.4f}s last={last_ns/1e9:.4f}s events={len(evts)}")
candidate_tid = tid
if candidate_tid is None:
print("\nNo single candidate found.")
else:
print(f"\n=== Worker tid={candidate_tid} timeline (sub_821748F0 body) ===")
evts = events_by_tid[candidate_tid]
# All kernel.calls and thread.create.
summary = Counter()
for ev in evts:
if ev["kind"] == "kernel.call":
summary[ev["payload"].get("name", "?")] += 1
print(f"Total events: {len(evts)}")
print(f"Top kernel.call names:")
for n, c in summary.most_common(40):
print(f" {c:5d} {n}")
# Save full timeline.
with open(os.path.join(OUTDIR, f"canary-worker-tid{candidate_tid}-timeline.csv"), "w") as f:
f.write("host_ns,tid_event_idx,kind,name,detail\n")
for ev in evts:
name = ev["payload"].get("name", "")
detail = json.dumps(ev["payload"])[:400].replace('"', '""')
f.write(f'{ev["host_ns"]},{ev["tid_event_idx"]},{ev["kind"]},{name},"{detail}"\n')
print(f"Wrote canary-worker-tid{candidate_tid}-timeline.csv")