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Author SHA1 Message Date
jessey bffaf73ad4 Merge pull request 'fix(ai): analyse the actual session, not stale/benign logs — 0.28.1' (#25) from feat/m14-ai into main
release / release (push) Successful in 15s
Reviewed-on: #25
2026-05-22 11:57:03 +00:00
jessey 7f0ab9a635 feat(m15): opt-in logging + per-diagnostic storage + Report bundles — 0.30.0
One `logging_enabled` toggle (default off) gates everything (D25):
- core/applog.py: rotating app.log (no-op unless enabled); setup() at GUI/CLI start.
- core/diagstore.py: each diagnostic stored in DATA_DIR/diagnostics/<id>/ (capture,
  result.json, report.txt, scoped gamelogs, ai/ records of exactly what was sent to
  the model + which model + the reply). make_report() zips a diagnostic (+ app.log)
  into DATA_DIR/reports/.
- diagnostic.finish()/analyze_crash() store when enabled; DiagnosticResult.dir.
- GUI: Settings → Logging toggle; "Report" button on the diagnostic dialog; AI
  interactions recorded into the diagnostic dir on "Explain with AI".
- CLI: `rigdoctor bundle` (report is taken by the M4 health report).
- Tests for store/record_ai/make_report + applog gating; docs (D25, M15, Phase 8).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:56:31 +02:00
jessey 12339c3282 feat(ai): resolve Steam app IDs from the library, don't make the model guess — 0.29.0
The model guessed "Rainbow Six Siege" for appID 2694490 (Path of Exile 2). We
already know the names locally, so ground it: steam.appid_names() maps appid→name
from the scanned library, and ai.build_prompt scans the text for app IDs and
injects a resolved glossary. Only locally-known IDs are listed; no network, no
fine-tuning. Tests + verified live (2694490 = Path of Exile 2).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:40:34 +02:00
jessey c7e50ba4cb fix(ai): analyse the actual session, not stale/benign logs — 0.28.1
The user ran a game ~20s with no crash but the AI dredged up old log lines,
guessed the wrong game, and gave Windows advice. Fixes:
- Prompt now includes the real game name + capture duration + outcome (clean vs
  crash), so the model uses the known game instead of guessing from log paths.
- gamelogs.collect(since=…): scope Steam-console lines by timestamp and skip a
  stale per-app Proton log (mtime before the session) — no unrelated past run.
- ai_knowledge: flag benign Steam/Proton lines (libnvidia-ml.so.1 assertion,
  routine minidumps, "fork without exec") as non-causal.
- System prompt: Linux-only steps (no "run as administrator"); don't manufacture
  a problem on a clean run.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:38:19 +02:00
jessey a3caabc0d5 Merge pull request 'feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1' (#24) from feat/m14-ai into main
release / release (push) Successful in 14s
Reviewed-on: #24
2026-05-22 11:32:59 +00:00
jessey b59f202891 feat(ai): render Markdown + feed game/Proton/Steam logs to the AI — 0.28.0
1) The explanation popup rendered raw Markdown (### / **). Switched to
   QTextEdit.setMarkdown and told the model to answer in Markdown.
2) On "Explain with AI", also collect recent Proton (~/steam-*.log) and Steam
   console logs (core/gamelogs.py — tail-read, size-bounded) and include them in
   the prompt so the model can correlate log errors with findings and pinpoint
   when things went wrong. Reference-fact matching runs over the logs too.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:32:51 +02:00
jessey e6d94fbd59 feat(ai): pre-fill qwen2.5:7b when Ollama is selected — 0.27.1
Selecting the Ollama provider pre-fills the model field with the suggested
qwen2.5:7b (fits an 8 GB GPU at Q4; grounding makes a 7B sufficient). Won't
overwrite a model the user already typed. Constant ai.OLLAMA_SUGGESTED_MODEL.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-22 13:25:04 +02:00
22 changed files with 805 additions and 22 deletions
+47
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@@ -5,6 +5,53 @@ All notable changes to RigDoctor are recorded here. Format follows
(`MAJOR.MINOR.PATCH`, pre-1.0). `__version__` and `pyproject.toml` must match the git
release tag (so the auto-updater, D18, can compare versions).
## [0.30.0] - 2026-05-22
### Added
- **Logging & report bundles (M15, D25)** — opt-in via one **Settings → Logging** toggle
(default off). When on: the app logs to a rotating `app.log`, and **each diagnostic is stored
in its own folder** (`~/.local/share/rigdoctor/diagnostics/<id>/`) with the capture log, a
structured `result.json`, a readable `report.txt`, a session-scoped game-log snapshot, and an
`ai/` record of every AI interaction — **the exact data sent, which model, and its reply**.
- **Report** — a button on the diagnostic dialog (and `rigdoctor bundle`) zips a diagnostic's
folder plus `app.log` into `~/.local/share/rigdoctor/reports/<id>.zip` for sharing. Everything
stays local; the zip only leaves your machine if you share it. Available only when logging is on.
## [0.29.0] - 2026-05-22
### Added
- **AI now resolves Steam app IDs from your library instead of guessing.** When app IDs appear
in the logs/findings, RigDoctor looks them up in your scanned games (`steam.appid_names()`) and
injects an "App IDs (resolved from your installed games)" glossary into the prompt — so the
model names games correctly (e.g. `2694490 = Path of Exile 2`) rather than hallucinating. Only
IDs it can resolve locally are listed; no network, no model "training" needed.
## [0.28.1] - 2026-05-22
### Fixed
- **AI explanations were misreading stale/benign logs.** Three fixes so the model analyses the
*actual* session: (1) the prompt now states the **real game name, capture duration, and
outcome** (clean vs. crash) so the model stops guessing the game from log paths; (2) game logs
are **scoped to the session window** (Steam-console lines filtered by timestamp; a stale
per-app Proton log from an earlier game is skipped); (3) the reference KB flags common
**benign** Steam/Proton lines (`libnvidia-ml.so.1` assertion, routine minidump uploads, "fork
without exec") so they aren't reported as the cause. The system prompt also forbids
Windows-only advice (no "run as administrator") and tells the model not to invent a problem
when the run was clean.
## [0.28.0] - 2026-05-22
### Added
- **AI explanations now include recent game logs.** When you press "Explain with AI" on a
diagnostic, RigDoctor also gathers recent **Proton** (`~/steam-<appid>.log`) and **Steam**
console logs (`core/gamelogs.py`, tail-read + size-bounded) and passes them to the model, so
it can correlate log errors with the sensor findings and pinpoint *when* something went wrong.
### Fixed
- The AI explanation popup now **renders Markdown** (headings, bold, lists) instead of showing
raw `###`/`**``QTextEdit.setMarkdown`, and the model is told to answer in Markdown.
## [0.27.1] - 2026-05-22
### Changed
- AI assistant: selecting **Ollama** now pre-fills the model field with **`qwen2.5:7b`** (a
strong 7B that fits an 8 GB GPU; our grounding makes a 7B sufficient). It won't overwrite a
model you've already entered, and you can change it freely.
## [0.27.0] - 2026-05-22
### Added
- **AI assistant (M14, D24)** — optional, **strictly opt-in, never automatic**. Explains your
+13 -1
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@@ -264,9 +264,21 @@ root cause + suggested next steps). Adds M14 to the D14 set.
as suggestions (consistent with D9 — it explains/recommends, applying fixes stays
consent-gated). No new runtime dependency (HTTP via stdlib).
### D25 — Logging & report bundles (M15) — *DECIDED 2026-05-22*
Opt-in logging + shareable diagnostic reports.
- **One combined `logging_enabled` toggle** (default off) controls both application logging
(rotating `app.log`) and per-diagnostic storage. Kept as a single switch for simplicity.
- **Each diagnostic is stored in its own directory** (`DATA_DIR/diagnostics/<id>/`): capture
log, structured `result.json`, human-readable `report.txt`, a scoped game-log snapshot, and an
`ai/` folder recording each AI interaction (**exact data sent, provider+model, and the reply**).
- **"Report"** zips one diagnostic directory (plus `app.log`) into `DATA_DIR/reports/` —
auto-saved there (no save dialog), shown with its path. Available only when logging is on
(nothing is stored otherwise). CLI: `rigdoctor bundle`.
- Everything stays local; the report only leaves the machine if the user shares the zip.
## Open
None currently — all tracked decisions (D1D24) are resolved. New questions will be added
None currently — all tracked decisions (D1D25) are resolved. New questions will be added
here as they arise. Remaining detail to flesh out during build: the tray's supporting-action
set (D13), per-module apt package names, M12's tunnel/token specifics, and M13's
update mechanism (APT repo vs. self-installed `.deb`).
+10 -1
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@@ -2,7 +2,8 @@
Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
> Module set per D14, plus **M12 (session sharing, D16)** and **M13 (auto-update, D18)**.
> Module set per D14, plus **M12 (session sharing, D16)**, **M13 (auto-update, D18)**,
> **M14 (AI assistant, D24)**, and **M15 (logging & reports, D25)**.
> **M7 (stress/repro) was dropped (D7).** M10/M11 are the GUI and tray modules (D10/D11).
> GPU scope reads "all (NVIDIA first)" — NVIDIA first, others via the vendor abstraction (D4).
@@ -21,6 +22,7 @@ Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
| M12 | Session sharing (shared terminal) | Sharing | none (relay) | all | P3 | ✅ |
| M13 | Auto-update | (core) | none (stdlib; user-local file swap) | all | P3 | ✅ |
| M14 | AI assistant (explain diagnostics) | (optional) | none (stdlib urllib; Ollama or Claude) | all | P3 | ✅ |
| M15 | Logging & report bundles | (core) | none (stdlib logging + zip) | all | P3 | ✅ |
| ~~M7~~ | ~~Stress / repro~~ | — | — | — | — | ❌ dropped (D7) |
## Notes per module
@@ -128,6 +130,13 @@ Status: ⬜ not started · 🟦 designing · 🟨 in progress · ✅ done
which lifts a small local model and sharpens Claude. Stdlib `urllib` (no pip deps); output is
advisory (D9). Configure in **Settings → AI assistant**.
- **M15 Logging & report bundles** (D25) — opt-in via one `logging_enabled` toggle (default off):
application logging to a rotating `app.log` (`core/applog.py`) and **per-diagnostic storage**
(`core/diagstore.py`) — each diagnostic gets its own `DATA_DIR/diagnostics/<id>/` (capture,
`result.json`, `report.txt`, scoped game logs, and an `ai/` record of every AI interaction:
exact data sent, model, reply). **"Report"** zips one into `DATA_DIR/reports/` (GUI button on
the diagnostic dialog; CLI `rigdoctor bundle`). Stays local; shareable on demand.
## Bundles (final — D14)
- **Essential:** M1 + M3 + M4 *(the MVP, NVIDIA-only — D5)*
- **Monitoring:** M2 + M8
+7
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@@ -97,6 +97,13 @@ Ubuntu + NVIDIA first; `.deb` distribution (see `DECISIONS.md`).
- [ ] *Possible follow-ups:* interactive chat grounded in the data; more reference-KB entries;
an "Explain" button on the System Health page.
## Phase 8 — Logging & report bundles (M15, D25)
- [x] **Opt-in logging** (one `logging_enabled` toggle): rotating `app.log` (`core/applog.py`)
+ **per-diagnostic storage** in its own directory (`core/diagstore.py`) — capture,
result, report, scoped game logs, and AI-interaction records.
- [x] **Report** bundle — zip a diagnostic (incl. exactly what was sent to the AI, the model,
and its reply) into the reports folder. GUI button + `rigdoctor bundle`.
> **Out of scope:** stress/repro module (D7); multi-distro support and packaging beyond
> Ubuntu/apt + `.deb` (D15) — a thin seam is kept but not built out.
+9
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@@ -162,6 +162,15 @@ the actual findings plus matched reference facts from a curated, exact-match kno
("RAG-lite" — no embeddings/vector store, stdlib only); no fine-tuning. HTTP via stdlib `urllib`
(no new core dependency); output is advisory (consistent with D9).
### M15 — Logging & report bundles (D25)
Opt-in (one `logging_enabled` toggle, default off). When on: the application logs to a rotating
`app.log`, and **each diagnostic is stored in its own directory** (capture log, structured
result, human-readable report, scoped game logs, and a record of every AI interaction — the
exact data sent, the model, and its reply). A **Report** action zips one diagnostic's directory
(plus the app log) into a shareable bundle saved under the reports folder (GUI button; CLI
`rigdoctor bundle`). Everything stays local — a report only leaves the machine if the user
shares the zip. Stdlib only (`logging` + `zipfile`).
## 5. Non-functional requirements
- **Zero hard deps for the core/CLI/daemon** — Python stdlib + tools already present. **Qt
(PySide6) is required only by the GUI (M10) and tray (M11) modules**, declared in the
+1 -1
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "rigdoctor"
version = "0.27.0"
version = "0.30.0"
description = "Modular hardware monitoring & crash diagnostics for Linux gamers."
readme = "README.md"
requires-python = ">=3.11"
+1 -1
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@@ -1,3 +1,3 @@
"""RigDoctor — modular hardware monitoring & crash diagnostics for Linux gamers."""
__version__ = "0.27.0"
__version__ = "0.30.0"
+23
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@@ -472,6 +472,23 @@ def cmd_ai(args) -> int:
return 0 if ok else 1
def cmd_bundle(args) -> int:
"""Zip the latest stored diagnostic into a report bundle (M15) — needs logging enabled."""
from .core import diagstore
if not diagstore.enabled():
print("Logging is off. Enable it (Settings → Logging, or set logging_enabled) so "
"diagnostics are stored and can be reported.")
return 1
directory = diagstore.latest_dir()
if directory is None:
print("No stored diagnostics yet — run a diagnostic first.")
return 1
out = diagstore.make_report(directory)
print(f"Report written: {out}")
return 0
def cmd_gameenv(args) -> int:
from dataclasses import asdict
@@ -686,10 +703,16 @@ def build_parser() -> argparse.ArgumentParser:
ai_sub.add_parser("test", help="send a tiny probe to verify connectivity").set_defaults(func=cmd_ai)
ai_sub.add_parser("explain", help="explain the current health findings with AI").set_defaults(func=cmd_ai)
ai_p.set_defaults(func=cmd_ai, ai_cmd=None)
bundle_p = sub.add_parser("bundle", help="zip the latest stored diagnostic into a report bundle (M15)")
bundle_p.set_defaults(func=cmd_bundle)
return p
def main(argv: list[str] | None = None) -> int:
from .core import applog
applog.setup() # opt-in app logging (M15); no-op unless logging_enabled
args = build_parser().parse_args(argv)
return args.func(args)
+7
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@@ -37,6 +37,12 @@ SPAWN_LOG = STATE_DIR / "recorder.out"
# not config: refreshed by the background scan on every launch).
GAMES_FILE = STATE_DIR / "games.json"
# Logging & reports (opt-in via `logging_enabled`). App log: rotating file of app events.
# Each diagnostic is stored under DIAGNOSTICS_DIR/<id>/; "Report" zips one into REPORTS_DIR.
APP_LOG = STATE_DIR / "app.log"
DIAGNOSTICS_DIR = DATA_DIR / "diagnostics"
REPORTS_DIR = DATA_DIR / "reports"
# Update access token (M13) — gates updates to Gitea account holders (D18).
# Stored in the OS keyring (Secret Service / GNOME Keyring) via `secret-tool` when
# available — encrypted at rest, unlocked with the login session — else a 0600 file.
@@ -190,6 +196,7 @@ DEFAULTS: dict = {
"ai_provider": "", # AI assistant (M14, D24): "" (unset) | "ollama" | "claude"
"ai_model": "", # model name (e.g. "llama3.1" for Ollama; blank = Claude default)
"ai_endpoint": "http://localhost:11434", # Ollama server base URL (Claude uses a fixed endpoint)
"logging_enabled": False, # opt-in: app logging + per-diagnostic storage + Report (M15)
}
+47 -9
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@@ -16,27 +16,40 @@ Answers are *grounded*: we pass the actual findings plus matched reference facts
from __future__ import annotations
import json
import re
import urllib.error
import urllib.request
from .. import config
from . import ai_knowledge
_APPID_RE = re.compile(r"\b\d{5,7}\b") # Steam app IDs are 57 digits
PROVIDERS = ("ollama", "claude")
OLLAMA_DEFAULT_ENDPOINT = "http://localhost:11434"
# Suggested Ollama model — strong instruction-following that fits an 8 GB GPU at Q4. Because we
# ground the prompt with reference facts, a 7B model is sufficient here.
OLLAMA_SUGGESTED_MODEL = "qwen2.5:7b"
CLAUDE_ENDPOINT = "https://api.anthropic.com/v1/messages"
CLAUDE_DEFAULT_MODEL = "claude-opus-4-7"
CLAUDE_MAX_TOKENS = 2000
ANTHROPIC_VERSION = "2023-06-01"
SYSTEM_PROMPT = (
"You are RigDoctor's hardware-diagnostics assistant for Linux gamers. You are given the "
"structured findings RigDoctor collected from this machine, and a set of reference facts. "
"Explain in plain language what the findings mean, identify the most likely root cause of "
"any problem, and give concrete, ordered next steps (exact commands where useful). Base "
"your reasoning ONLY on the findings and reference facts provided — do not invent readings, "
"hardware, or log lines. Be concise and practical. Present fixes as suggestions, and clearly "
"warn before any step that could cause data loss or instability."
"You are RigDoctor's hardware-diagnostics assistant for Linux gamers (Ubuntu + NVIDIA, games "
"via Steam/Proton). You are given session context, the structured findings RigDoctor "
"collected — which may include recent game/Proton/system log excerpts scoped to this session "
"— plus reference facts. Use the GAME NAME from the session context; never guess the game "
"from log paths or app IDs. Correlate log errors with the findings to pinpoint WHEN and WHY "
"things went wrong, identify the most likely root cause, and give concrete, ordered next "
"steps with exact Linux commands where useful.\n"
"Rules: Base your reasoning ONLY on the data and reference facts provided — never invent "
"readings, hardware, or log lines. This is LINUX: never suggest Windows-only steps (e.g. "
"'run as administrator', registry edits, toggling antivirus). Treat log lines flagged BENIGN "
"in the reference facts as non-causal. If no crash was recorded and there are no warning or "
"critical findings, say plainly that the session looks healthy and do NOT manufacture a "
"problem. Be concise. Present fixes as suggestions and warn before anything that risks data "
"loss or instability. Format your answer in Markdown."
)
@@ -79,10 +92,35 @@ def provider_label() -> str:
return "not configured"
def appid_glossary(text: str) -> str:
"""Resolve Steam app IDs that appear in `text` against the user's scanned library.
We don't teach the model app IDs — we look them up locally and hand it the mapping, so it
names games correctly instead of guessing. Only IDs we can resolve are listed.
"""
candidates = set(_APPID_RE.findall(text))
if not candidates:
return ""
try:
from . import steam
names = steam.appid_names()
except Exception: # never let a glossary lookup break an explanation
return ""
known = sorted((i, names[i]) for i in candidates if i in names)
if not known:
return ""
return "App IDs (resolved from your installed games):\n" + "\n".join(
f"- {appid} = {name}" for appid, name in known)
def build_prompt(findings_text: str) -> str:
"""The user-message content: matched reference facts + the collected findings."""
facts = ai_knowledge.relevant(findings_text)
"""The user-message content: app-ID glossary + matched reference facts + the findings."""
parts = []
glossary = appid_glossary(findings_text)
if glossary:
parts.append(glossary)
parts.append("")
facts = ai_knowledge.relevant(findings_text)
if facts:
parts.append("Reference facts (use these to interpret the findings):")
parts += [f"- {f}" for f in facts]
+12
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@@ -64,6 +64,18 @@ ENTRIES: list[tuple[tuple[str, ...], str]] = [
(("nvidia persistence", "persistence mode"),
"NVIDIA persistence mode keeps the driver loaded when no app is using the GPU, avoiding "
"re-init stalls — harmless to enable."),
(("libnvidia-ml.so", "interface.h", "failed to load \"libnvidia-ml"),
"BENIGN: a Steam log assertion 'Failed to load libnvidia-ml.so.1' (from interface.h) is "
"logged on many normal launches — the Steam runtime sandbox can't see the host NVML library. "
"It is NOT by itself a crash cause. Only investigate the driver if the GPU is genuinely "
"undetected (nvidia-smi fails)."),
(("minidump", ".dmp", "uploading minidump"),
"BENIGN-by-default: a minidump upload line means a crash handler ran AND that the game/engine "
"routinely uploads dumps; it is not proof that THIS session crashed unless a hard freeze or "
"non-zero exit was also recorded. Don't treat a routine minidump line as the root cause."),
(("fork without exec", "skipping destruction"),
"BENIGN: 'pid X != Y, skipping destruction (fork without exec?)' is routine Steam/Proton "
"process bookkeeping, not an error."),
]
+63
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@@ -0,0 +1,63 @@
"""Application logging (M15) — opt-in via the `logging_enabled` setting.
When enabled, app events/errors are written to a rotating file (`config.APP_LOG`); when
disabled, nothing is written (no file is created). All RigDoctor code logs through
``applog.get_logger(__name__)``; the handler is attached once at startup by :func:`setup`.
Stdlib ``logging`` only.
"""
from __future__ import annotations
import logging
from logging.handlers import RotatingFileHandler
from .. import config
_ROOT = "rigdoctor"
_configured = False
def setup(force: bool = False) -> bool:
"""Attach the file handler if logging is enabled. Idempotent. Returns whether it's on."""
global _configured
logger = logging.getLogger(_ROOT)
enabled = bool(config.load_config().get("logging_enabled", False))
if not enabled:
if force: # toggled off at runtime — detach so we stop writing
for h in list(logger.handlers):
logger.removeHandler(h)
h.close()
_configured = False
return False
if _configured and not force:
return True
for h in list(logger.handlers): # avoid duplicate handlers on re-setup
logger.removeHandler(h)
h.close()
try:
config.STATE_DIR.mkdir(parents=True, exist_ok=True)
handler = RotatingFileHandler(config.APP_LOG, maxBytes=2_000_000, backupCount=3,
encoding="utf-8")
handler.setFormatter(logging.Formatter(
"%(asctime)s %(levelname)-7s %(name)s: %(message)s"))
logger.addHandler(handler)
logger.setLevel(logging.INFO)
logger.propagate = False
_configured = True
logger.info("logging started (rigdoctor %s)", _version())
except OSError:
return False
return True
def get_logger(name: str) -> logging.Logger:
"""A child logger. Safe to call before setup — it just won't write until enabled."""
short = name.split(".")[-1]
return logging.getLogger(f"{_ROOT}.{short}")
def _version() -> str:
from .. import __version__
return __version__
+20 -2
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@@ -28,6 +28,7 @@ class DiagnosticResult:
game: str | None
summary: Summary # capture window: peak temps/power, events, last samples (M3)
findings: list[Finding] # health findings: Xid/SMART/driver/etc. (M4)
dir: str | None = None # storage directory when logging is on (M15); else None
@dataclass
@@ -97,7 +98,22 @@ def finish(last_n: int = 10, log_path=None) -> DiagnosticResult:
summary = summarize(path, last_n=last_n)
game = _game_from_summary(summary) or (reccontrol.read_status() or {}).get("game")
findings = run_health_checks()
return DiagnosticResult(game=game, summary=summary, findings=findings)
result = DiagnosticResult(game=game, summary=summary, findings=findings)
_store(result, path, summary)
return result
def _store(result: DiagnosticResult, capture_path, summary: Summary) -> None:
"""Persist the diagnostic to its own directory when logging is enabled (M15)."""
try:
from . import diagstore
since = (summary.start - 60) if summary.start else None
directory = diagstore.store(result, capture_path, since=since)
if directory:
result.dir = str(directory)
except Exception: # storage must never break a diagnostic
pass
# --- hard-crash detection & post-crash analysis -----------------------------------
@@ -184,4 +200,6 @@ def analyze_crash(last_n: int = 15) -> DiagnosticResult:
findings += check_previous_boot() # the crashed boot's kernel log
findings += run_health_checks(include_journal=False) # SMART/driver/persistence/temps
findings.sort(key=lambda f: _SEV_ORDER.get(f.severity, 9))
return DiagnosticResult(game=_game_from_summary(summary), summary=summary, findings=findings)
result = DiagnosticResult(game=_game_from_summary(summary), summary=summary, findings=findings)
_store(result, _crash_path(), summary)
return result
+136
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@@ -0,0 +1,136 @@
"""Per-diagnostic storage + Report bundles (M15) — opt-in via `logging_enabled`.
When logging is on, each finished diagnostic is persisted to its own directory under
``config.DIAGNOSTICS_DIR/<id>/`` (capture log, structured result, human-readable report, a
game-log snapshot, and any AI interactions). "Report" zips one directory — including exactly
**what was sent to the AI, which model, and its reply** — into ``config.REPORTS_DIR``.
"""
from __future__ import annotations
import json
import shutil
import time
import zipfile
from dataclasses import asdict, is_dataclass
from pathlib import Path
from .. import config
def enabled() -> bool:
return bool(config.load_config().get("logging_enabled", False))
def _slug(name: str | None) -> str:
s = "".join(c if c.isalnum() else "-" for c in (name or "session").lower())
return s.strip("-")[:40] or "session"
def _new_dir(game: str | None) -> Path:
base = config.DIAGNOSTICS_DIR
stamp = time.strftime("%Y%m%d-%H%M%S")
name = f"{stamp}-{_slug(game)}"
target = base / name
n = 1
while target.exists():
target = base / f"{name}-{n}"
n += 1
target.mkdir(parents=True, exist_ok=True)
return target
def _as_dict(obj):
if is_dataclass(obj):
return asdict(obj)
return getattr(obj, "__dict__", {}) or str(obj)
def store(result, capture_path=None, since: float | None = None) -> Path | None:
"""Persist a finished diagnostic to its own directory. Returns the dir, or None if off."""
if not enabled():
return None
from ..render import render_summary
from . import ai, gamelogs
target = _new_dir(getattr(result, "game", None))
if capture_path and Path(capture_path).exists():
try:
shutil.copyfile(capture_path, target / "capture.jsonl")
except OSError:
pass
payload = {
"game": getattr(result, "game", None),
"stored_at": time.time(),
"summary": _as_dict(result.summary),
"findings": [_as_dict(f) for f in result.findings],
}
_write(target / "result.json", json.dumps(payload, indent=2, default=str))
report = [f"Game: {getattr(result, 'game', None) or 'unknown'}", "",
render_summary(result.summary), "",
ai.format_findings(result.findings, header="Findings:")]
_write(target / "report.txt", "\n".join(report))
try:
logs = gamelogs.collect(since=since)
if logs:
_write(target / "gamelogs.txt", logs)
except OSError:
pass
return target
def record_ai(diag_dir, *, provider: str, model: str, system: str, prompt: str, response: str) -> None:
"""Save one AI interaction (exact data sent, model, reply) into the diagnostic's `ai/` dir."""
if not diag_dir:
return
out = Path(diag_dir) / "ai"
try:
out.mkdir(parents=True, exist_ok=True)
except OSError:
return
stamp = time.strftime("%Y%m%d-%H%M%S")
record = {
"timestamp": time.time(), "provider": provider, "model": model,
"system_prompt": system, "data_sent_to_model": prompt, "model_reply": response,
}
_write(out / f"explain-{stamp}.json", json.dumps(record, indent=2, default=str))
readable = (
f"Provider: {provider}\nModel: {model}\n\n"
f"=== System prompt ===\n{system}\n\n"
f"=== Data sent to the model ===\n{prompt}\n\n"
f"=== Model reply ===\n{response}\n"
)
_write(out / f"explain-{stamp}.txt", readable)
def make_report(diag_dir) -> Path:
"""Zip a diagnostic directory (plus the app log) into REPORTS_DIR; return the zip path."""
diag_dir = Path(diag_dir)
config.REPORTS_DIR.mkdir(parents=True, exist_ok=True)
out = config.REPORTS_DIR / f"report-{diag_dir.name}.zip"
with zipfile.ZipFile(out, "w", zipfile.ZIP_DEFLATED) as zf:
for path in sorted(diag_dir.rglob("*")):
if path.is_file():
zf.write(path, arcname=str(Path(diag_dir.name) / path.relative_to(diag_dir)))
if config.APP_LOG.exists(): # the application log, for context around the session
zf.write(config.APP_LOG, arcname=str(Path(diag_dir.name) / "app.log"))
return out
def latest_dir() -> Path | None:
try:
dirs = [d for d in config.DIAGNOSTICS_DIR.iterdir() if d.is_dir()]
except OSError:
return None
return max(dirs, key=lambda d: d.stat().st_mtime) if dirs else None
def _write(path: Path, text: str) -> None:
try:
path.write_text(text, encoding="utf-8")
except OSError:
pass
+116
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@@ -0,0 +1,116 @@
"""Collect recent game / Proton / Steam logs to enrich an AI diagnostic (M14).
Reads logs that already exist on disk — no change to how the game is launched. Two reliable
sources: Proton's per-app log (``~/steam-<appid>.log``, written when ``PROTON_LOG=1``) and
Steam's own console log. Each is tail-read and size-bounded so the AI prompt stays small. The
text is fed to the AI alongside the findings so it can see *when* something went wrong (a
vkd3d/DXVK error, a crash line, the exit code) rather than only the sensor summary.
"""
from __future__ import annotations
import os
import re
import time
from pathlib import Path
# Steam keeps logs under its install root; ~/.steam/steam usually symlinks to the real one.
_STEAM_LOG_DIRS = ("~/.steam/steam/logs", "~/.local/share/Steam/logs", "~/.steam/root/logs")
_STEAM_LOG_FILES = ("console-linux.txt", "console_log.txt", "stderr.txt")
_TS = re.compile(r"^\[(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\]")
def _line_epoch(line: str) -> float | None:
m = _TS.match(line)
if not m:
return None
try:
return time.mktime(time.strptime(m.group(1), "%Y-%m-%d %H:%M:%S"))
except ValueError:
return None
def _since_filter(text: str, since: float) -> str:
"""Keep lines from the first timestamp >= `since` onward (logs are chronological).
Untimestamped lines before the window are dropped; once inside the window every line is
kept (so multi-line entries survive). This scopes a long-lived Steam log to one session.
"""
out: list[str] = []
including = False
for line in text.splitlines():
epoch = _line_epoch(line)
if epoch is not None and epoch >= since:
including = True
if including:
out.append(line)
return "\n".join(out)
def _tail(path: Path, max_bytes: int) -> str:
"""Last ``max_bytes`` of a file, decoded leniently (empty string on error)."""
try:
size = path.stat().st_size
with path.open("rb") as fh:
if size > max_bytes:
fh.seek(size - max_bytes)
return fh.read().decode("utf-8", "replace")
except OSError:
return ""
def _proton_logs() -> list[Path]:
try:
logs = list(Path.home().glob("steam-*.log"))
except OSError:
return []
return sorted(logs, key=lambda p: p.stat().st_mtime, reverse=True)
def _steam_console() -> Path | None:
for directory in _STEAM_LOG_DIRS:
base = Path(os.path.expanduser(directory))
for name in _STEAM_LOG_FILES:
candidate = base / name
if candidate.exists():
return candidate
return None
def available() -> bool:
return bool(_proton_logs() or _steam_console())
def collect(since: float | None = None, max_bytes: int = 8000) -> str:
"""Recent Proton + Steam log tails as one labelled text block ('' if none).
With ``since`` (epoch), scope to that session: skip a Proton log not written during/after
the session (a stale per-app log from an earlier game), and keep only Steam-console lines
timestamped at/after ``since`` — so we don't feed the model an unrelated past session.
"""
sections: list[str] = []
protons = _proton_logs()
if protons:
log = protons[0]
fresh = since is None or _mtime(log) >= since
tail = _tail(log, max_bytes).strip() if fresh else ""
if tail:
sections.append(f"--- Proton log ({log.name}) ---\n{tail}")
console = _steam_console()
if console:
raw = _tail(console, 40000 if since else max_bytes)
if since is not None:
raw = _since_filter(raw, since)
raw = raw.strip()[-max_bytes:].strip()
if raw:
sections.append(f"--- Steam log ({console.name}) ---\n{raw}")
return "\n\n".join(sections)
def _mtime(path: Path) -> float:
try:
return path.stat().st_mtime
except OSError:
return 0.0
+5
View File
@@ -318,6 +318,11 @@ def cached_games() -> list[Game]:
return [Game(**{k: g[k] for k in Game.__dataclass_fields__ if k in g}) for g in cache.get("games", [])]
def appid_names() -> dict[str, str]:
"""{appid: name} for the user's scanned games — lets us resolve IDs seen in logs (M14)."""
return {g.appid: g.name for g in cached_games() if g.appid and g.name}
def rescan(cfg: dict | None = None) -> ScanResult:
"""Scan the selected libraries, diff against the cache, and persist the result.
+4
View File
@@ -17,6 +17,10 @@ ICON = Path(__file__).parent / "assets" / "rigdoctor.svg"
def main(argv: list[str] | None = None) -> int:
from ..core import applog
applog.setup() # opt-in app logging (M15); no-op unless logging_enabled
applog.get_logger(__name__).info("GUI starting")
desktop.ensure() # self-register icon + .desktop so updates show it without re-installing
app = QApplication(argv if argv is not None else sys.argv)
app.setApplicationName("RigDoctor")
+62 -5
View File
@@ -86,6 +86,10 @@ class DiagnosticDialog(QDialog):
from ..core import ai
self._explain_btn.setVisible(ai.is_configured()) # opt-in only; hidden if not set up
buttons.addWidget(self._explain_btn)
self._report_btn = QPushButton("Report") # zip this diagnostic's logs (M15)
self._report_btn.clicked.connect(self._make_report)
self._report_btn.setVisible(bool(result.dir)) # only when logging stored the session
buttons.addWidget(self._report_btn)
buttons.addStretch(1)
close = QPushButton("Close")
close.setObjectName("PrimaryButton")
@@ -111,11 +115,39 @@ class DiagnosticDialog(QDialog):
threading.Thread(target=self._work_explain, daemon=True).start()
def _work_explain(self) -> None:
from ..core import ai
from ..core import ai, gamelogs
text = ai.format_findings(self._result.findings, header="Diagnostic findings:")
text += "\n\nCapture summary:\n" + render_summary(self._result.summary)
self._explained.emit(ai.explain(text))
result = self._result
summary = result.summary
events = {kind for _ts, kind, _detail in summary.events}
clean = "session-stop" in events
gpu_lost = "gpu-lost" in events
lines = [f"Game: {result.game or 'unknown'}"]
if summary.start and summary.end:
lines.append(f"Capture duration: ~{int(summary.end - summary.start)}s")
outcome = "ended cleanly (no crash detected)" if clean else \
"ended without a clean stop (possible crash/freeze)"
if gpu_lost:
outcome += "; a GPU-lost event was recorded"
lines.append(f"Outcome: {outcome}")
lines.append("")
lines.append(ai.format_findings(result.findings, header="Findings:"))
lines.append("\nCapture summary:\n" + render_summary(summary))
since = (summary.start - 60) if summary.start else None
logs = gamelogs.collect(since=since) # scoped to this session
if logs:
lines.append("\nGame/Proton/Steam logs for this session:\n" + logs)
text = "\n".join(lines)
ok, reply = ai.explain(text)
if result.dir: # record exactly what was sent, the model, and the reply (M15)
from ..core import diagstore
diagstore.record_ai(
result.dir, provider=ai.provider(), model=ai.model(),
system=ai.SYSTEM_PROMPT, prompt=ai.build_prompt(text),
response=reply if ok else f"[error] {reply}")
self._explained.emit((ok, reply))
def _on_explained(self, result) -> None:
ok, text = result
@@ -123,6 +155,31 @@ class DiagnosticDialog(QDialog):
self._explain_btn.setText("Explain with AI")
self._show_explanation(text if ok else f"AI explanation failed:\n\n{text}")
# --- Report bundle (M15) ------------------------------------------------------
def _make_report(self) -> None:
from PySide6.QtCore import QUrl
from PySide6.QtGui import QDesktopServices
from ..core import diagstore
self._report_btn.setEnabled(False)
try:
out = diagstore.make_report(self._result.dir)
except OSError as exc:
self._report_btn.setEnabled(True)
QMessageBox.warning(self, "Report failed", str(exc))
return
self._report_btn.setEnabled(True)
box = QMessageBox(self)
box.setWindowTitle("Report created")
box.setText(f"Saved report:\n{out}\n\nIt contains this diagnostic's logs and any AI "
"interaction (data sent, model, and reply).")
open_btn = box.addButton("Open folder", QMessageBox.ButtonRole.ActionRole)
box.addButton("OK", QMessageBox.ButtonRole.AcceptRole)
box.exec()
if box.clickedButton() is open_btn:
QDesktopServices.openUrl(QUrl.fromLocalFile(str(out.parent)))
def _show_explanation(self, text: str) -> None:
from ..core import ai
@@ -133,7 +190,7 @@ class DiagnosticDialog(QDialog):
view = QTextEdit()
view.setObjectName("Report")
view.setReadOnly(True)
view.setPlainText(text)
view.setMarkdown(text) # the model replies in Markdown — render it
lay.addWidget(view)
note = QLabel("AI-generated suggestions — verify before acting, especially anything that changes settings or data.")
note.setObjectName("Muted")
+28 -2
View File
@@ -27,7 +27,7 @@ from PySide6.QtWidgets import (
)
from .. import config
from ..core import alerts, installer, service, sysenv, uninstall, updates
from ..core import ai, alerts, installer, service, sysenv, uninstall, updates
from .theme import GOOD, MUTED, WARN
@@ -188,7 +188,8 @@ class SetupPage(QWidget):
ai_layout.addLayout(prov_row)
self._ai_model = QLineEdit()
self._ai_model.setPlaceholderText("Model (e.g. llama3.1 for Ollama; blank = Claude default)")
self._ai_model.setPlaceholderText(
f"Model (e.g. {ai.OLLAMA_SUGGESTED_MODEL} for Ollama; blank = Claude default)")
ai_layout.addWidget(self._ai_model)
self._ai_endpoint = QLineEdit()
self._ai_endpoint.setPlaceholderText("Ollama server URL (default http://localhost:11434)")
@@ -214,6 +215,23 @@ class SetupPage(QWidget):
ai_layout.addWidget(self._ai_status)
root.addWidget(ai_card)
# Logging (M15): opt-in app logging + per-diagnostic storage (enables the Report bundle).
log_card, log_layout = _panel("Logging")
log_desc = QLabel(
"Save application logs and store each diagnostic in its own folder so you can review "
"or <b>Report</b> it. Off by default; everything stays on your machine.\n"
f"• Diagnostics: {config.DIAGNOSTICS_DIR}\n"
f"• Reports: {config.REPORTS_DIR}"
)
log_desc.setObjectName("Muted")
log_desc.setWordWrap(True)
log_layout.addWidget(log_desc)
self._logging = QCheckBox("Enable logging (application + diagnostics)")
self._logging.setChecked(config.load_config().get("logging_enabled", False))
self._logging.toggled.connect(self._toggle_logging)
log_layout.addWidget(self._logging)
root.addWidget(log_card)
# Account access (M13/M12): one Gitea token gates updates and session sharing.
upd_card, upd_layout = _panel("Account access")
hint = QLabel("A Gitea access token unlocks updates and session sharing. "
@@ -286,6 +304,8 @@ class SetupPage(QWidget):
self._ai_endpoint.setVisible(prov == "ollama")
self._ai_key.setVisible(prov == "claude")
self._ai_test_btn.setEnabled(prov != "")
if prov == "ollama" and not self._ai_model.text().strip():
self._ai_model.setText(ai.OLLAMA_SUGGESTED_MODEL) # suggested default; user can change
def _save_ai(self) -> None:
prov = self._ai_provider()
@@ -317,6 +337,12 @@ class SetupPage(QWidget):
self._ai_test_btn.setEnabled(True)
self._ai_status.setText(("" if ok else "") + (msg[:200] if msg else ""))
def _toggle_logging(self, on: bool) -> None:
from ..core import applog
config.update_config(logging_enabled=on)
applog.setup(force=True) # attach/detach the file handler immediately
def _run_wizard(self) -> None:
from .setup_wizard import SetupWizard
+17
View File
@@ -62,6 +62,23 @@ class PromptTests(unittest.TestCase):
text = ai.format_findings([F()])
self.assertIn("[WARN] GPU: Hot — 92C", text)
def test_appid_glossary_resolves_known_ids(self):
from rigdoctor.core import steam
with mock.patch.object(steam, "appid_names", return_value={"2694490": "Path of Exile 2"}):
glossary = ai.appid_glossary("Steam log: removed AppID 2694490 ... pid 130544")
self.assertIn("2694490 = Path of Exile 2", glossary)
def test_appid_glossary_ignores_unknown_ids(self):
from rigdoctor.core import steam
with mock.patch.object(steam, "appid_names", return_value={"570": "Dota 2"}):
self.assertEqual(ai.appid_glossary("pid 130544 used 8192 MiB"), "") # not in library
def test_build_prompt_includes_glossary(self):
from rigdoctor.core import steam
with mock.patch.object(steam, "appid_names", return_value={"2694490": "Path of Exile 2"}):
prompt = ai.build_prompt("AppID 2694490 launched")
self.assertIn("Path of Exile 2", prompt)
class ExplainTests(unittest.TestCase):
def _cfg(self, **over):
+100
View File
@@ -0,0 +1,100 @@
"""Tests for M15 per-diagnostic storage + Report bundles + app logging."""
import json
import tempfile
import unittest
import zipfile
from dataclasses import dataclass, field
from pathlib import Path
from unittest import mock
from rigdoctor.core import applog, diagstore
@dataclass
class FakeSummary:
start: float = 1.0
end: float = 2.0
samples: int = 3
events: list = field(default_factory=list)
@dataclass
class FakeFinding:
severity: str = "ok"
category: str = "GPU"
title: str = "Looks fine"
detail: str = "no issues"
@dataclass
class FakeResult:
game: str = "Path of Exile 2"
summary: FakeSummary = field(default_factory=FakeSummary)
findings: list = field(default_factory=lambda: [FakeFinding()])
dir: str | None = None
class StoreTests(unittest.TestCase):
def setUp(self):
self.tmp = Path(tempfile.mkdtemp())
def test_disabled_returns_none(self):
with mock.patch.object(diagstore, "enabled", return_value=False):
self.assertIsNone(diagstore.store(FakeResult()))
def test_store_writes_artifacts(self):
with mock.patch.object(diagstore, "enabled", return_value=True), \
mock.patch("rigdoctor.render.render_summary", return_value="SUMMARY-TEXT"), \
mock.patch("rigdoctor.core.gamelogs.collect", return_value="LOG-TEXT"), \
mock.patch.object(diagstore.config, "DIAGNOSTICS_DIR", self.tmp / "diagnostics"):
directory = diagstore.store(FakeResult())
self.assertTrue((directory / "result.json").exists())
self.assertTrue((directory / "report.txt").exists())
self.assertEqual((directory / "gamelogs.txt").read_text(), "LOG-TEXT")
data = json.loads((directory / "result.json").read_text())
self.assertEqual(data["game"], "Path of Exile 2")
self.assertEqual(len(data["findings"]), 1)
def test_record_ai_then_report_includes_ai_and_applog(self):
diag = self.tmp / "20260522-poe2"
diag.mkdir()
diagstore.record_ai(diag, provider="claude", model="claude-opus-4-7",
system="SYS", prompt="EXACT DATA SENT", response="THE REPLY")
ai_files = list((diag / "ai").glob("explain-*.json"))
self.assertTrue(ai_files)
record = json.loads(ai_files[0].read_text())
self.assertEqual(record["model"], "claude-opus-4-7")
self.assertEqual(record["data_sent_to_model"], "EXACT DATA SENT")
self.assertEqual(record["model_reply"], "THE REPLY")
app_log = self.tmp / "app.log"
app_log.write_text("app log line")
with mock.patch.object(diagstore.config, "REPORTS_DIR", self.tmp / "reports"), \
mock.patch.object(diagstore.config, "APP_LOG", app_log):
out = diagstore.make_report(diag)
self.assertTrue(out.exists())
with zipfile.ZipFile(out) as zf:
names = zf.namelist()
self.assertTrue(any(n.endswith("app.log") for n in names))
self.assertTrue(any("/ai/explain-" in n for n in names))
class AppLogTests(unittest.TestCase):
def test_disabled_is_noop(self):
with mock.patch.object(applog.config, "load_config", return_value={"logging_enabled": False}):
self.assertFalse(applog.setup(force=True))
def test_enabled_writes_file(self):
tmp = Path(tempfile.mkdtemp())
with mock.patch.object(applog.config, "load_config", return_value={"logging_enabled": True}), \
mock.patch.object(applog.config, "STATE_DIR", tmp), \
mock.patch.object(applog.config, "APP_LOG", tmp / "app.log"):
self.assertTrue(applog.setup(force=True))
applog.get_logger("test").info("hello world")
applog.setup(force=True) # cleanup path: re-run detaches/reattaches cleanly
self.assertTrue((tmp / "app.log").exists())
if __name__ == "__main__":
unittest.main()
+77
View File
@@ -0,0 +1,77 @@
"""Tests for M14 game/Proton/Steam log collection."""
import os
import tempfile
import time
import unittest
from pathlib import Path
from unittest import mock
from rigdoctor.core import gamelogs
class TailTests(unittest.TestCase):
def test_tail_returns_last_bytes(self):
path = Path(tempfile.mkdtemp()) / "x.log"
path.write_text("A" * 100 + "TAIL")
out = gamelogs._tail(path, 4)
self.assertEqual(out, "TAIL")
def test_tail_short_file(self):
path = Path(tempfile.mkdtemp()) / "x.log"
path.write_text("short")
self.assertEqual(gamelogs._tail(path, 9999), "short")
def test_tail_missing(self):
self.assertEqual(gamelogs._tail(Path("/nope/x.log"), 10), "")
class CollectTests(unittest.TestCase):
def test_collect_includes_proton_and_steam(self):
tmp = Path(tempfile.mkdtemp())
proton = tmp / "steam-570.log"
proton.write_text("err: vkd3d device lost")
console = tmp / "console-linux.txt"
console.write_text("Game removed AppID 570 ... exit")
with mock.patch.object(gamelogs, "_proton_logs", return_value=[proton]), \
mock.patch.object(gamelogs, "_steam_console", return_value=console):
out = gamelogs.collect()
self.assertIn("Proton log", out)
self.assertIn("vkd3d", out)
self.assertIn("Steam log", out)
self.assertIn("exit", out)
def test_collect_empty_when_none(self):
with mock.patch.object(gamelogs, "_proton_logs", return_value=[]), \
mock.patch.object(gamelogs, "_steam_console", return_value=None):
self.assertEqual(gamelogs.collect(), "")
class SinceScopingTests(unittest.TestCase):
def test_since_filter_keeps_window_only(self):
text = (
"[2026-05-22 13:00:00] old session line\n"
"[2026-05-22 13:00:01] another old line\n"
"[2026-05-22 14:30:00] new session launch\n"
"[2026-05-22 14:30:05] new session error\n"
)
since = time.mktime(time.strptime("2026-05-22 14:00:00", "%Y-%m-%d %H:%M:%S"))
out = gamelogs._since_filter(text, since)
self.assertIn("new session launch", out)
self.assertIn("new session error", out)
self.assertNotIn("old session", out)
def test_collect_skips_stale_proton_log(self):
tmp = Path(tempfile.mkdtemp())
proton = tmp / "steam-9999.log"
proton.write_text("stale proton output from an earlier game")
old_mtime = time.time() - 3600
os.utime(proton, (old_mtime, old_mtime))
since = time.time() - 60 # session started a minute ago
with mock.patch.object(gamelogs, "_proton_logs", return_value=[proton]), \
mock.patch.object(gamelogs, "_steam_console", return_value=None):
self.assertEqual(gamelogs.collect(since=since), "") # stale log excluded
if __name__ == "__main__":
unittest.main()