Files
ComfyAssets-ComfyUI_PromptM…/tools/inspection_corpus.py
Vito 048d599386 fix(inspect): bound inspection work, not graph size (#244)
* test(inspect): add synthetic inspection parity fixtures and legacy characterization

* test(inspect): pin test-time parity vectors and keep fixtures fully synthetic

* fix(inspect): bound resolver work instead of graph size

* fix(inspect): bound shared-node and stripped-text work in the inspection profile

Keep one memo per resolution whose entries carry their unfolded visit cost;
a memo hit charges that cost to the current candidate's allowance only.
Cache node validation and charge input keys, stripped characters and copied
provenance entries to a whole-resolution work budget before doing the work.
The default profile is unchanged.

* fix(inspect): keep memoized depth honest across inspection candidates

A memo entry now records its height below the reusing depth; a hit raises
depth-limit exactly where a fresh walk would, so each candidate's outcome
matches its anchored result and does not depend on trace or node order.
The default profile is unchanged.

* test(inspect): pin memo height propagation

Three samplers share one chain, each later one hanging below a memo hit.
The third candidate must report depth-limit in both trace orders and when
anchored; removing the memo-hit height propagation fails this test. The
provenance test now asserts a plain subset.

* fix(inspect): tolerate ComfyUI node metadata quirks in projections

Projections now take a kind. Each prompt node keeps exactly class_type and
inputs; _meta, is_changed and other node keys are validated and dropped, so
"is_changed": [NaN] no longer marks the whole prompt graph malformed. A
nonfinite value inside inputs, anywhere in a workflow, or in a retained
carrier member projects to null and is never reported as a number. The
carrier applies the prompt/workflow kinds to its members. Exact numbers are
unchanged (Decimal spelling, unsafe integers as strings) and duplicate keys
are still malformed. The 500-node gate is replaced by a 20,000-node backstop
(workflow count includes subgraph definitions). Raw records are untouched.

The f14 inspection vector's facts become known; default vectors are unchanged.

* fix(inspect): budget metadata per record so large workflows never hide prompts

PNG inspection no longer counts every text chunk against one shared 2 MiB
budget. Role records (prompt, parameters, the pair execution record) keep a
2 MiB budget together, encoded and decoded, and exceeding it still fails the
whole read. A workflow has its own 4 MiB budget: a chunk over it is skipped
by seek, and a compressed one stops inflating at budget + 1. Only the
workflow is then reported as limited (record format "limited", no raw text,
workflow_graph limited); prompts, facts and the prompt graph are unaffected.

Each text chunk's keyword is read first (at most 80 bytes). Chunks that are
not retained are skipped by length without being read or checksummed, so
memory stays bounded. Byte-identical duplicates of a retained record are
accepted and do not consume budget; differing duplicates still raise
"Duplicate prompt metadata", and a duplicate of a limited workflow stays
limited. The chunk-count limit is unchanged.

InspectionRead gains limited_records (empty by default). The reader is only
used by the inspection routes, so ingestion, scan and import are unchanged.

Vectors: f04-inspection (2.5 MB workflow, within the new workflow budget)
and f15-inspection (identical duplicate chunks) now read and resolve, with
the same outcome and facts as f05-inspection. Default vectors are unchanged.

* fix(inspect): keep prompt evidence longest under the response budget

* fix(inspect): bound identical duplicate chunk reads

* fix(inspect): fail closed when role duplicates exceed their budget

* fix(inspect): use the bounded inspection profile end to end

Inspection routes resolve with INSPECTION_PROFILE and expose reason_code
and node on the resolution; scan, live monitor and admin import keep the
default profile (pinned by spies over the real resolver on f03).

JS facts drop the entries and workflow node-count gates; per-lookup visit
sets and the server's node ceiling bound the work. The validator accepts
the textless `limited` workflow format, follows the workflow-first
response omission order, and checks the closed reason-code vocabulary.
The file inspector labels limited records and disables their workflow
download.

vectors.json: 12 inspection vectors gain their reason codes; f03 facts
become known and f01 facts ambiguous. Default vectors are unchanged. A
new parity test asserts vectors.json facts through the workspace JS.

* chore(tools): add read-only inspection corpus tool

tools/inspection_corpus.py runs the inspection route pipeline and the
workspace JS facts of a chosen code tree over a media folder, read-only,
and reports the #240 invariants H1 to H8 with aggregate counts. Rows hold
statuses and SHA-256 digests of resolved role texts, never file names or
prompt text unless --with-paths is given. Outputs inside the root or a code
tree are refused.

The facts-over-vectors test now fails instead of skipping when CI is set
and Node.js is missing.

* docs(testing): document bounded inspection work

* fix(tools): fail the corpus run when facts or inspection did not run

Rows whose facts were never computed (no or exiting Node.js) now fail H3,
and a new harness line fails on any tool exception or missing facts, so a
run where nothing was measured can no longer exit 0. Unreadable files stay
inspector outcomes. A missing --node binary is refused, an exited harness
is reaped, H8 has a 50 ms floor for tiny baselines, and JSONL rows are
sorted by id.

* docs(inspect): correct ceiling wording and bandit annotations

Describe the two 20,000-node ceilings (prompt entries, workflow UI plus
subgraph nodes) in TESTING.md, and use bare nosec ids so Bandit stops
warning about unparsed test names.

* test(inspect): make parity observation tuples explicit
2026-10-19 09:54:29 -07:00

673 lines
25 KiB
Python

"""Read-only inspection corpus tool for the #240 invariants (H1 to H8).
Runs the workspace current-file inspection path (``inspect_current_file`` then
``encode_inspection_response``) of a code tree on every servable media file under
``--root``, and hands each exact response to the workspace's JS facts. Example::
python3 tools/inspection_corpus.py --root OUTPUT_DIR --out SCRATCH/after.jsonl \\
--workers 8 --baseline SCRATCH/before.jsonl --summary SCRATCH/after.txt
``--code`` selects the tree whose Python and ``web/js`` are imported (default: the
tree holding this tool), so a copy of the tool can measure an older commit. Run
it against a base checkout first and pass that output as ``--baseline``.
Read-only by construction: media is opened only for reading, symlinks are not
followed, no database or config is imported, bytecode is not written, and
``--out``/``--summary`` are refused inside the scanned root or a code tree. The
JSONL rows and the summary carry counts, statuses and SHA-256 digests of resolved
role texts, never file names or prompt text, unless ``--with-paths`` is given.
"""
import argparse
import hashlib
import importlib
import importlib.util
import json
import math
import multiprocessing
import os
import shutil
import stat
import struct
import subprocess # nosec B404
import sys
import time
from collections import Counter
from pathlib import Path
from types import SimpleNamespace
TOOL_TREE = Path(__file__).resolve().parents[1]
FACTS_HARNESS = Path(__file__).resolve().with_name("inspection_corpus_facts.mjs")
SERVICE = Path("py", "api", "inspection_service.py")
LIBRARY = {"status": "none"}
RECORD_KEYS = ("prompt", "parameters", "workflow", "comfyassets_prompt_pairs")
ROLE_RECORDS = frozenset({"prompt", "parameters"})
FACTS_KNOWN_TARGET = 4
TOP_CLASSES = 20
BASELINE_P99_MS = 520
# H8 compares p99 with twice the baseline p99; below this floor a tiny baseline
# (a few ms on fixtures) would only measure scheduler noise.
H8_FLOOR_MS = 50
P99_FACTOR = 2
MAX_MS = 5000
PNG_SIGNATURE = b"\x89PNG\r\n\x1a\n"
PNG_TEXT_CHUNKS = (b"tEXt", b"zTXt", b"iTXt")
MAX_PNG_CHUNKS = 10_000
HASH_BLOCK = 1 << 20
MAX_JSON_DEPTH = 64
EXIT_OK, EXIT_INVARIANT_FAILED, EXIT_REFUSED = 0, 1, 2
_STATE = SimpleNamespace(code=None, node=None)
class Refused(Exception):
"""An argument would make the run write somewhere it must not."""
def _inside(path: Path, area: Path) -> bool:
child = os.path.normcase(os.path.realpath(path))
parent = os.path.normcase(os.path.realpath(area))
try:
return os.path.commonpath([child, parent]) == parent
except ValueError: # different drives on Windows
return False
def _check_outputs(args) -> None:
areas = [("--root", args.root), ("the code tree", args.code)]
if (TOOL_TREE / SERVICE).is_file(): # a copied tool may live in scratch
areas.append(("this tool's code tree", TOOL_TREE))
outputs = [("--out", args.out)] + (
[("--summary", args.summary)] if args.summary else []
)
for label, path in outputs:
if Path(path).is_dir():
raise Refused(f"{label} is a directory")
for name, area in areas:
if _inside(Path(path), area):
raise Refused(f"refusing to write {label} inside {name}")
targets = [os.path.realpath(path) for _, path in outputs]
if args.baseline:
targets.append(os.path.realpath(args.baseline))
if len(set(map(os.path.normcase, targets))) != len(targets):
raise Refused("--out, --summary and --baseline must be different files")
def _load_code(code_dir: Path) -> SimpleNamespace:
"""Import only the inspection modules of ``code_dir``: no routes, no database."""
location = code_dir / SERVICE
if not location.is_file():
raise Refused("--code is not a PromptManager code tree")
loaded = sys.modules.get("utils")
if loaded is None:
sys.path.insert(0, str(code_dir))
elif not any(_inside(Path(p), code_dir) for p in loaded.__path__):
raise Refused("another code tree's utils package is already imported")
spec = importlib.util.spec_from_file_location("_corpus_inspection", location)
service = importlib.util.module_from_spec(spec)
spec.loader.exec_module(service)
response = importlib.import_module("utils.inspection_response")
inspector = importlib.import_module("utils.prompt_inspector")
return SimpleNamespace(
inspect=service.inspect_current_file,
extensions=frozenset(service.SERVABLE_EXTENSIONS),
encode=response.encode_inspection_response,
cap=response.MAX_RESPONSE_BYTES,
read=inspector.read_inspection_file,
read_error=inspector.MetadataReadError,
)
def _start_node(node: str | None, code_dir: Path):
if not node:
return None
# Fixed local Node harness, no shell.
return subprocess.Popen( # nosec B603
[node, str(FACTS_HARNESS), str(code_dir)],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.DEVNULL,
)
def _close_node(process) -> None:
for stream in (process.stdin, process.stdout):
try:
stream.close()
except OSError: # the pipe of an exited harness
pass
process.wait()
def _stop_node() -> None:
process, _STATE.node = _STATE.node, None
if process is not None:
_close_node(process)
def _init_worker(code_dir: str, node: str | None) -> None:
sys.dont_write_bytecode = True # never write into the measured code tree
_STATE.code = _load_code(Path(code_dir))
_STATE.node = _start_node(node, Path(code_dir))
def _facts(body: bytes) -> dict:
process = _STATE.node
if process is None:
return {"facts": None, "facts_error": "node-unavailable"}
try:
process.stdin.write(body + b"\n")
process.stdin.flush()
line = process.stdout.readline()
except OSError:
line = b""
if not line:
_STATE.node = None
_close_node(process)
return {"facts": None, "facts_error": "node-exited"}
facts = json.loads(line)
if "error" in facts:
return {"facts": None, "facts_error": facts["error"]}
known = sum(1 for fact in facts.values() if fact["status"] == "known")
return {"facts": facts, "facts_known": known}
def _digest(text: object) -> str | None:
if not isinstance(text, str):
return None
return hashlib.sha256(text.encode("utf-8", "surrogatepass")).hexdigest()
def _roles(prompts: dict) -> dict:
return {
role: {
"status": side.get("status"),
"source": side.get("source"),
"sha256": (
_digest(side.get("text")) if side.get("status") == "resolved" else None
),
}
for role, side in prompts.items()
}
def _texts(side_pair: dict) -> tuple:
return tuple(
(side_pair.get(role) or {}).get("text") for role in ("positive", "negative")
)
def _resolution(response: dict) -> dict:
# ``candidates`` (and so H2) only appears with the selection slice (PR3);
# PR1 responses carry none, so H2 is vacuous until then.
resolution = response["resolution"]
candidates = resolution.get("candidates") or []
node = resolution.get("node")
resolved = _texts(response["prompts"])
return {
"state": resolution.get("state"),
"reason": resolution.get("reason"),
"reason_code": resolution.get("reason_code"),
"selection": resolution.get("selection"),
"node_class": node.get("class_type") if isinstance(node, dict) else None,
"candidate_count": resolution.get("candidate_count", len(candidates)),
"h2": resolution.get("state") == "resolved"
and any(_texts(candidate) != resolved for candidate in candidates),
}
def _nonfinite(value: object) -> bool:
stack = [(value, 1)]
while stack:
item, depth = stack.pop()
if isinstance(item, float) and not math.isfinite(item):
return True
if depth < MAX_JSON_DEPTH and isinstance(item, (dict, list)):
children = item.values() if isinstance(item, dict) else item
stack.extend((child, depth + 1) for child in children)
return False
def _unique(pairs: list) -> dict:
keys = [key for key, _ in pairs]
if len(set(keys)) != len(keys):
raise ValueError("duplicate key")
return dict(pairs)
def malformed_cause(text: str) -> str:
"""Why a prompt record may be malformed: ``non-input`` means only quirks outside
node ``inputs`` (``_meta``, ``is_changed``, nonfinite numbers) are left."""
try:
tree = json.loads(text, object_pairs_hook=_unique)
except (ValueError, RecursionError):
return "unparseable"
nodes = tree.values() if isinstance(tree, dict) else None
if nodes is None or not all(
isinstance(node, dict)
and isinstance(node.get("class_type"), str)
and isinstance(node.get("inputs", {}), dict)
for node in nodes
):
return "shape"
if any(_nonfinite(node.get("inputs")) for node in nodes):
return "input-nonfinite"
return "non-input"
def _hash_chunk(handle, length: int) -> tuple:
digest, keyword, remaining = hashlib.sha256(), b"", length
while remaining:
block = handle.read(min(HASH_BLOCK, remaining))
if not block:
break
if remaining == length:
keyword = block.split(b"\0", 1)[0]
digest.update(block)
remaining -= len(block)
return keyword.decode("latin-1"), digest.digest()
def png_duplicates_identical(path: Path) -> bool | None:
"""True when every duplicated record key repeats byte-identical chunk data."""
seen: dict = {}
with open(path, "rb") as handle:
if handle.read(8) != PNG_SIGNATURE:
return None
for _ in range(MAX_PNG_CHUNKS):
head = handle.read(8)
if len(head) < 8:
break
length, kind = struct.unpack(">I4s", head)
if kind in PNG_TEXT_CHUNKS:
keyword, digest = _hash_chunk(handle, length)
if keyword in RECORD_KEYS:
seen.setdefault(keyword, []).append(digest)
handle.seek(4, os.SEEK_CUR)
else:
handle.seek(length + 4, os.SEEK_CUR)
if kind == b"IEND":
break
repeated = [digests for digests in seen.values() if len(digests) > 1]
if not repeated:
return None
return all(len(set(digests)) == 1 for digests in repeated)
def _read_evidence(path: Path, row: dict) -> None:
code = _STATE.code
try:
code.read(path)
row["read_error"] = None
except code.read_error as error:
row["read_error"] = str(error)
if row["read_error"] == "Duplicate prompt metadata" and row["ext"] == ".png":
row["duplicates_identical"] = png_duplicates_identical(path)
def _metadata(response: dict, inspection) -> dict:
metadata = response["metadata"]
records = set() if inspection is None else set(inspection.metadata)
records |= set(getattr(inspection, "limited_records", ()) or ())
row = {
"records": sorted(records & set(RECORD_KEYS)),
"metadata_status": metadata["status"],
"omitted_reason": metadata["omitted_reason"],
"graphs": {
"prompt": metadata["prompt_graph"]["status"],
"workflow": metadata["workflow_graph"]["status"],
},
"record_formats": metadata["record_formats"],
}
text = None if inspection is None else inspection.metadata.get("prompt")
if row["graphs"]["prompt"] == "malformed" and isinstance(text, str):
row["malformed_cause"] = malformed_cause(text)
return row
def _observe(path: Path, rel: str, row: dict) -> None:
code = _STATE.code
row["size"] = path.stat().st_size
_read_evidence(path, row)
started = time.perf_counter()
observed = code.inspect(path, source_label="corpus", saved=None, library=LIBRARY)
image = {"root_index": 0, "path": rel, "filename": path.name}
try:
body = code.encode(image=image, root_scope="0" * 64, **observed)
except ValueError:
row["ms"] = round((time.perf_counter() - started) * 1000, 1)
row["over_cap"] = True
return
row["ms"] = round((time.perf_counter() - started) * 1000, 1)
row["response_bytes"] = len(body)
row["over_cap"] = len(body) > code.cap
response = json.loads(body)
row["prompts"] = _roles(response["prompts"])
row.update(_resolution(response))
row.update(_metadata(response, observed["inspection"]))
row.update(_facts(body))
def file_id(rel: str) -> str:
"""Stable, name-free join key for ``--baseline`` comparisons."""
return hashlib.sha256(rel.encode("utf-8", "surrogatepass")).hexdigest()[:32]
def inspect_one(task: tuple) -> dict:
path, rel, with_paths = Path(task[0]), task[1], task[2]
row = {"id": file_id(rel), "ext": path.suffix.lower()}
if with_paths:
row["path"] = rel
try:
_observe(path, rel, row)
except Exception as error: # one file never stops the corpus; class only
row["error"] = type(error).__name__
return row
def media_files(root: Path, extensions: frozenset):
"""Regular servable files under ``root``; symlinks are neither followed nor read."""
for directory, subdirectories, names in os.walk(root, followlinks=False):
subdirectories.sort()
for name in sorted(names):
path = Path(directory, name)
if path.suffix.lower() not in extensions:
continue
try:
mode = path.lstat().st_mode
except OSError:
continue
if stat.S_ISREG(mode):
yield str(path), path.relative_to(root).as_posix()
def _rows(tasks: list, workers: int, code_dir: Path, node: str | None):
if workers <= 1:
_STATE.node = _start_node(node, code_dir)
try:
for task in tasks:
yield inspect_one(task)
finally:
_stop_node()
return
context = multiprocessing.get_context("spawn")
with context.Pool(workers, _init_worker, (str(code_dir), node)) as pool:
yield from pool.imap_unordered(inspect_one, tasks, chunksize=4)
def percentile(values: list, fraction: float) -> float | None:
"""Nearest-rank percentile; ``None`` for no values."""
if not values:
return None
ordered = sorted(values)
return ordered[max(0, math.ceil(fraction * len(ordered)) - 1)]
def _fact_reasons(row: dict) -> set:
return {fact.get("reason") for fact in (row.get("facts") or {}).values()}
def _h1(rows: list, baseline: list | None) -> dict:
if baseline is None:
return {"status": "N/A", "detail": "no --baseline"}
current = {row["id"]: row for row in rows}
before = [row for row in baseline if row.get("state") == "resolved"]
regressions = Counter()
for old in before:
new = current.get(old["id"])
if new is None:
regressions["missing"] += 1
elif new.get("state") != "resolved":
regressions[f"{new.get('state')}:{new.get('reason_code')}"] += 1
elif _role_digests(new) != _role_digests(old):
regressions["resolved:texts-differ"] += 1
resolved_now = sum(1 for row in rows if row.get("state") == "resolved")
return {
"status": "FAIL" if regressions else "PASS",
"count": sum(regressions.values()),
"detail": f"resolved at baseline {len(before)}, now {resolved_now}",
"breakdown": dict(sorted(regressions.items())),
}
def _role_digests(row: dict) -> tuple:
prompts = row.get("prompts") or {}
return tuple(
(
(prompts.get(role) or {}).get("status"),
(prompts.get(role) or {}).get("sha256"),
)
for role in ("positive", "negative")
)
def _false_absent(row: dict) -> bool:
if not ROLE_RECORDS & set(row.get("records") or ()):
return False
positive = ((row.get("prompts") or {}).get("positive") or {}).get("status")
# Negative-only absence beside a resolved positive is honest (ledger ruling).
return (
positive == "absent" or row.get("state") == "absent" and positive != "resolved"
)
def _counted(count: int, detail: str = "") -> dict:
return {"status": "FAIL" if count else "PASS", "count": count, "detail": detail}
def _h8(rows: list, baseline: list | None, cap: int) -> dict:
timings = [row["ms"] for row in rows if "ms" in row]
p99, peak = percentile(timings, 0.99), max(timings, default=None)
base = percentile([row["ms"] for row in baseline or () if "ms" in row], 0.99)
limit = max(
P99_FACTOR * (base if base is not None else BASELINE_P99_MS), H8_FLOOR_MS
)
over_cap = sum(1 for row in rows if row.get("over_cap"))
failed = (p99 or 0) > limit or (peak or 0) >= MAX_MS or over_cap
return {
"status": "FAIL" if failed else "PASS",
"count": over_cap,
"detail": f"p99 {p99} ms (limit {limit}), max {peak} ms (limit <{MAX_MS}), "
f"responses over the {cap}-byte cap {over_cap}",
}
def _h3(rows: list) -> dict:
limited = sum(
1
for row in rows
if row.get("read_error") is None and "projection-limited" in _fact_reasons(row)
)
# Facts that were never computed cannot pass: count them as failures.
missing = sum(1 for row in rows if row.get("facts_error") or row.get("error"))
detail = f"projection-limited {limited}, facts not computed {missing}"
return _counted(limited + missing, detail)
def _harness(rows: list) -> dict:
"""The tool's own failures, kept apart from inspector outcomes: an unreadable
or unsupported file is a row with ``read_error``/``state``, not an ``error``."""
crashed = sum(1 for row in rows if row.get("error"))
no_facts = sum(1 for row in rows if row.get("facts_error"))
detail = f"inspection exceptions {crashed}, facts not computed {no_facts}"
return _counted(crashed + no_facts, detail)
def invariants(rows: list, baseline: list | None, cap: int) -> dict:
"""H1 to H8 from the design; H7 is informational until the video slice."""
videos = [row for row in rows if row["ext"] == ".mp4"]
with_records = sum(1 for row in videos if row.get("records"))
return {
"H1": _h1(rows, baseline),
"H2": _counted(sum(1 for row in rows if row.get("h2"))),
"H3": _h3(rows),
"H4": _counted(
sum(1 for row in rows if row.get("malformed_cause") == "non-input")
),
"H5": _counted(sum(1 for row in rows if _false_absent(row))),
"H6": _counted(
sum(1 for row in rows if row.get("duplicates_identical") is True)
),
"H7": {
"status": "N/A",
"detail": "informational until PR4: mp4 with records "
f"{with_records} of {len(videos)}",
},
"H8": _h8(rows, baseline, cap),
"harness": _harness(rows),
}
def build_report(rows: list, baseline: list | None, cap: int) -> dict:
"""Aggregate counts only: no names, no text."""
timings = [row["ms"] for row in rows if "ms" in row]
unsupported = Counter(row["node_class"] for row in rows if row.get("node_class"))
return {
"files": len(rows),
"extensions": Counter(row["ext"] for row in rows),
"harness_errors": Counter(row["error"] for row in rows if row.get("error")),
"states": Counter(row.get("state") for row in rows if not row.get("error")),
"states_by_extension": Counter(
f"{row['ext']} {row.get('state')}" for row in rows if not row.get("error")
),
"reason_codes": Counter(
str(row.get("reason_code") or "null")
for row in rows
if not row.get("error")
),
"selection_kinds": Counter(
str(row.get("selection") or "null") for row in rows if not row.get("error")
),
"metadata_status": Counter(
row.get("metadata_status") for row in rows if "metadata_status" in row
),
"read_errors": Counter(
row["read_error"] for row in rows if row.get("read_error")
),
"malformed_causes": Counter(
row["malformed_cause"] for row in rows if "malformed_cause" in row
),
"facts_known_at_least_4": sum(
1 for row in rows if (row.get("facts_known") or 0) >= FACTS_KNOWN_TARGET
),
"facts_errors": Counter(
row["facts_error"] for row in rows if row.get("facts_error")
),
"top_unsupported_classes": unsupported.most_common(TOP_CLASSES),
"timing_ms": {
"p50": percentile(timings, 0.5),
"p99": percentile(timings, 0.99),
"max": max(timings, default=None),
},
"invariants": invariants(rows, baseline, cap),
}
def _counter_line(label: str, counts) -> str:
items = counts.most_common() if isinstance(counts, Counter) else counts
body = ", ".join(f"{key} {value}" for key, value in items) or "none"
return f"{label}: {body}"
def format_report(report: dict) -> str:
timing = report["timing_ms"]
lines = [
"Inspection corpus summary",
f"files: {report['files']}",
_counter_line("extensions", report["extensions"]),
_counter_line("harness errors", report["harness_errors"]),
_counter_line("states", report["states"]),
_counter_line("states by extension", report["states_by_extension"]),
_counter_line("reason codes", report["reason_codes"]),
_counter_line("selection kinds", report["selection_kinds"]),
_counter_line("metadata status", report["metadata_status"]),
_counter_line("read errors", report["read_errors"]),
_counter_line("malformed prompt graph causes", report["malformed_causes"]),
f"facts at least {FACTS_KNOWN_TARGET} known: "
f"{report['facts_known_at_least_4']}",
_counter_line("facts errors", report["facts_errors"]),
_counter_line(
f"top {TOP_CLASSES} unsupported classes", report["top_unsupported_classes"]
),
f"timing ms: p50 {timing['p50']}, p99 {timing['p99']}, max {timing['max']}",
"invariants:",
]
for name, result in report["invariants"].items():
count = f" {result['count']}" if "count" in result else ""
detail = f" ({result['detail']})" if result.get("detail") else ""
lines.append(f" {name} {result['status']}{count}{detail}")
for key, value in (result.get("breakdown") or {}).items():
lines.append(f" {key} {value}")
return "\n".join(lines) + "\n"
def _by_id(row: dict) -> str:
return row["id"]
def _load_baseline(path: str | None) -> list | None:
if path is None:
return None
with open(path, encoding="utf-8") as handle:
return [json.loads(line) for line in handle if line.strip()]
def _parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description=__doc__.split("\n\n")[0])
parser.add_argument("--root", required=True, help="media folder, scanned read-only")
parser.add_argument("--out", required=True, help="per-file JSONL to write")
parser.add_argument("--workers", type=int, default=1)
parser.add_argument("--baseline", help="JSONL from an earlier run (H1, H8)")
parser.add_argument("--summary", help="also write the summary text here")
parser.add_argument("--code", default=str(TOOL_TREE), help="code tree to measure")
parser.add_argument("--node", default=shutil.which("node"), help="Node.js binary")
parser.add_argument(
"--with-paths", action="store_true", help="add relative paths to the JSONL"
)
return parser
def main(argv: list | None = None) -> int:
args = _parser().parse_args(argv)
previous, sys.dont_write_bytecode = sys.dont_write_bytecode, True
try: # never write bytecode into the measured code tree
return _run(args)
finally:
sys.dont_write_bytecode = previous
def _run(args) -> int:
args.root = Path(os.path.realpath(args.root))
args.code = Path(os.path.realpath(args.code))
try:
if not args.root.is_dir():
raise Refused("--root is not a directory")
if args.node and shutil.which(args.node) is None:
raise Refused("--node is not an executable")
_check_outputs(args)
_STATE.code = _load_code(args.code)
baseline = _load_baseline(args.baseline)
except (Refused, OSError, ValueError) as error:
print(f"inspection_corpus: {error}", file=sys.stderr)
return EXIT_REFUSED
tasks = [
(path, rel, args.with_paths)
for path, rel in media_files(args.root, _STATE.code.extensions)
]
rows = sorted(_rows(tasks, args.workers, args.code, args.node), key=_by_id)
with open(args.out, "w", encoding="utf-8", newline="\n") as out:
for row in rows:
out.write(json.dumps(row, ensure_ascii=False, sort_keys=True) + "\n")
report = build_report(rows, baseline, _STATE.code.cap)
text = format_report(report)
sys.stdout.write(text)
if args.summary:
with open(args.summary, "w", encoding="utf-8", newline="\n") as handle:
handle.write(text)
failed = any(result["status"] == "FAIL" for result in report["invariants"].values())
return EXIT_INVARIANT_FAILED if failed else EXIT_OK
if __name__ == "__main__":
sys.exit(main())