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import argparse
import hashlib
import json
import math
import os
import sys
import threading
import time
from collections import Counter, defaultdict, deque
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime, timezone
from email.utils import parsedate_to_datetime
from pathlib import Path
from urllib.error import HTTPError, URLError
from urllib.request import Request, urlopen
ROOT = Path(__file__).resolve().parents[3]
sys.path.insert(0, str(ROOT / "src"))
from vimeml.data.build import file_sha
from vimeml.review.prepare import write_json
ENDPOINT = "https://models.sjtu.edu.cn/api/v1/chat/completions"
MODEL = "deepseek-chat"
ISSUE_TYPES = {"none", "web_noise", "incomplete_text", "natural_without_terminator",
"bracket_convention", "wrong_join", "missed_join", "other"}
ACTIONS = {
"review_block": {"keep", "drop", "review", "no_change"},
"dropped_block": {"keep", "drop", "review", "no_change"},
"retained_sentence": {"keep", "drop", "review", "no_change"},
"fragment_candidate": {"keep", "drop", "review", "no_change"},
"joined_boundary": {"join", "separate", "review", "no_change"},
"boundary_candidate": {"join", "separate", "review", "no_change"},
}
def digest(value):
return hashlib.sha256(json.dumps(value, ensure_ascii=False, sort_keys=True).encode("utf-8")).hexdigest()
def redact(value, secret):
if isinstance(value, str):
if isinstance(secret, (list, tuple)):
for item in sorted((item for item in secret if item), key=len, reverse=True):
value = value.replace(item, "[REDACTED]")
return value
return value.replace(secret, "[REDACTED]") if secret else value
if isinstance(value, dict):
return {key: redact(item, secret) for key, item in value.items()}
if isinstance(value, list):
return [redact(item, secret) for item in value]
return value
def parse_decisions(body, cases):
choice = body["choices"][0]
if choice.get("finish_reason") == "length":
raise ValueError("Truncated output; rerun with a smaller --batch-size or larger --max-output-tokens.")
content = choice["message"]["content"]
if not isinstance(content, str):
raise ValueError("Response content must be text.")
content = content.strip()
if content.startswith("```") and content.endswith("```"):
content = "\n".join(content.splitlines()[1:-1]).strip()
rows = json.loads(content)
if isinstance(rows, dict):
rows = rows.get("results")
if not isinstance(rows, list):
raise ValueError("Expected a JSON array or results array.")
expected = {case["id"]: case for case in cases}
decisions = {}
for row in rows:
if not isinstance(row, dict) or not isinstance(row.get("id"), str):
raise ValueError("Invalid result ID.")
key = row["id"]
if key not in expected or key in decisions:
raise ValueError("Unexpected or duplicate result ID.")
if row.get("assessment") not in {"ok", "issue", "uncertain"} or row.get("issue_type") not in ISSUE_TYPES:
raise ValueError("Invalid assessment or issue type.")
if row.get("suggested_action") not in ACTIONS[expected[key]["kind"]]:
raise ValueError("Suggested action is incompatible with case kind.")
reason = row.get("reason_zh")
if not isinstance(reason, str) or not reason.strip() or len(reason) > 1000:
raise ValueError("Missing or excessive reason.")
decisions[key] = {name: row[name] for name in ("id", "assessment", "issue_type", "suggested_action")}
decisions[key]["reason_zh"] = reason.strip()
if set(decisions) != set(expected):
raise ValueError("Response omitted some case IDs.")
return decisions
def model_case(case):
# Provenance and full source text remain local. Send only decision evidence.
keys = ("id", "kind", "text", "block_id", "cleaned_block_spans", "flags", "terminated",
"reason", "audit_reasons", "left_block", "right_block", "left_text", "right_text",
"processing", "original_lines", "context_truncated")
return {key: case[key] for key in keys if key in case}
def payload_for(cases, prompt, model, output_tokens, compact_ids=True):
evidence = []
for index, case in enumerate(cases, 1):
item = model_case(case)
if compact_ids:
item["id"] = f"R{index}"
item["allowed_actions"] = sorted(ACTIONS[case["kind"]])
evidence.append(item)
return {"model": model, "temperature": 0, "max_tokens": output_tokens,
"messages": [{"role": "system", "content": prompt},
{"role": "user", "content": "逐个审核以下数据，每个 ID 恰好返回一次，原样复制短 ID。"
"每条 suggested_action 必须选自该条 allowed_actions。"
"边界审核只判断 join/separate/review/no_change；即使正文是噪声，也不能返回 drop/keep。\n"
+ json.dumps(evidence, ensure_ascii=False)}]}
def request_signature(endpoint, payload, cases):
# Local case IDs must remain part of the identity: two distinct targets can
# have identical evidence and hence identical short-ID request payloads.
return digest({"endpoint": endpoint, "payload": payload, "case_ids": [case["id"] for case in cases]})
def parse_model_reply(body, cases, payload):
"""Strictly validate wire IDs, then restore canonical local IDs by identity."""
sent = json.loads(payload["messages"][1]["content"].split("\n", 1)[1])
if len(sent) != len(cases):
raise ValueError("Request case mapping is incomplete.")
expected = [{**case, "id": item["id"]} for case, item in zip(cases, sent)]
mapping = {item["id"]: case["id"] for case, item in zip(cases, sent)}
parsed = parse_decisions(body, expected)
restored = {mapping[key]: {**row, "id": mapping[key]} for key, row in parsed.items()}
canonical_body = {**body, "choices": [{**body["choices"][0], "message": {
**body["choices"][0]["message"], "content": json.dumps(list(restored.values()), ensure_ascii=False)}}]}
return restored, canonical_body
def token_reservation(payload):
# Offline estimate, not the provider's tokenizer. Japanese often uses fewer
# tokens than this UTF-8-byte/2 estimate; reserve the complete output allowance.
return 256 + sum(math.ceil(len(message["content"].encode("utf-8")) / 2)
for message in payload["messages"]) + payload["max_tokens"]
def make_batches(cases, prompt, model, batch_size, output_tokens, max_tokens):
batches, oversized, current = [], [], []
for case in cases:
if token_reservation(payload_for([case], prompt, model, output_tokens)) > max_tokens:
oversized.append(case)
continue
proposed = current + [case]
if current and (len(proposed) > batch_size or token_reservation(payload_for(proposed, prompt, model, output_tokens)) > max_tokens):
batches.append(current)
current = []
current.append(case)
if current:
batches.append(current)
return batches, oversized
class QuotaLimiter:
"""One rolling request/token quota shared by every worker and retry."""
def __init__(self, rpm=8, tpm=80000, window=60.0):
self.rpm, self.tpm, self.window = rpm, tpm, window
self.lock, self.events = threading.Lock(), deque()
self.next_start, self.cooldown_until = 0.0, 0.0
def acquire(self, tokens, stop):
while not stop.is_set():
ticket, wait = self.try_acquire(tokens)
if ticket is not None:
return ticket
stop.wait(min(max(wait, 0.001), 0.5))
return None
def try_acquire(self, tokens):
"""Reserve immediately if available; otherwise return the wait duration."""
if tokens > self.tpm:
raise ValueError("Single request exceeds token quota.")
with self.lock:
now = time.monotonic()
while self.events and now - self.events[0]["start"] >= self.window:
self.events.popleft()
wait = max(0.0, self.next_start - now, self.cooldown_until - now)
if len(self.events) >= self.rpm or sum(event["tokens"] for event in self.events) + tokens > self.tpm:
wait = max(wait, self.events[0]["start"] + self.window - now)
if wait <= 0:
ticket = {"start": now, "tokens": tokens}
self.events.append(ticket)
self.next_start = now + self.window / self.rpm
return ticket, 0.0
return None, wait
def finish(self, ticket, usage):
if not isinstance(usage, dict):
return
actual = usage.get("total_tokens")
if type(actual) is int and actual >= 0:
with self.lock:
ticket["tokens"] = actual
if actual > self.tpm:
self.cooldown_until = max(self.cooldown_until, time.monotonic() + self.window)
def pause(self, seconds):
with self.lock:
self.cooldown_until = max(self.cooldown_until, time.monotonic() + seconds)
def retry_after(headers, default):
value = headers.get("Retry-After") if headers else None
if value:
try:
return max(0.0, float(value))
except ValueError:
try:
return max(0.0, parsedate_to_datetime(value).timestamp() - time.time())
except (ValueError, TypeError, OverflowError):
pass
return default
def send_request(endpoint, payload, api_key, timeout):
request = Request(endpoint, data=json.dumps(payload, ensure_ascii=False).encode("utf-8"),
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, method="POST")
try:
with urlopen(request, timeout=timeout) as response:
return response.status, dict(response.headers), response.read(8 * 1024 * 1024 + 1).decode("utf-8", errors="replace")
except HTTPError as error:
return error.code, dict(error.headers), error.read(8 * 1024 * 1024 + 1).decode("utf-8", errors="replace")
def load_materials(input_dir):
manifest = json.loads((input_dir / "manifest.json").read_text(encoding="utf-8"))
if manifest.get("status") != "complete" or manifest.get("schema_version") != 1:
raise ValueError("Review materials are not complete/compatible.")
for filename, field in (("cases.json", "cases_sha256"), ("prompt.txt", "prompt_sha256")):
if file_sha(input_dir / filename) != manifest[field]:
raise ValueError(f"Review material changed: {filename}")
cases = json.loads((input_dir / "cases.json").read_text(encoding="utf-8"))
if not isinstance(cases, list):
raise ValueError("Cases must be an array.")
ids = []
for case in cases:
if not isinstance(case, dict) or not isinstance(case.get("id"), str) or not case["id"] or case.get("kind") not in ACTIONS:
raise ValueError("Invalid case identity or kind.")
ids.append(case["id"])
if len(set(ids)) != len(ids):
raise ValueError("Duplicate case IDs.")
return manifest, cases, (input_dir / "prompt.txt").read_text(encoding="utf-8").strip()
def report(output, cases, decisions, failures, usage, preparation, request_counts, account_stats=None):
results = [{**case, **decisions[case["id"]]} for case in cases if case["id"] in decisions]
issues = [case for case in results if case["assessment"] != "ok"]
pending = [case["id"] for case in cases if case["id"] not in decisions]
strata = defaultdict(Counter)
for case in results:
for layer in case["sampling_strata"]:
strata[layer][case["assessment"]] += 1
stats = {"total_cases": len(cases), "completed_cases": len(results), "pending_cases": len(pending),
"assessments": dict(Counter(case["assessment"] for case in results)),
"by_stratum": {key: dict(value) for key, value in sorted(strata.items())},
"requests_this_run": dict(request_counts), "usage_this_run": usage,
"quality_rate_note": preparation["quality_rate_note"],
"advisory_only": True, "all_issues_human_confirmed": False}
if account_stats is not None:
stats["accounts_this_run"] = account_stats
for filename, value in (("results.json", results), ("issues.json", issues), ("pending.json", pending),
("failures.json", failures), ("stats.json", stats)):
write_json(output / filename, value)
lines = ["# Corpus 审核结果", "", f"完成 {len(results)}/{len(cases)}；待完成 {len(pending)}；需核对 {len(issues)}。", "",
"模型判断为建议，未修改 corpus 或批准标注。分层样本不能用来直接推算全库坏数据率。", ""]
for case in issues:
lines.extend([f"## {case['id']} · {case['kind']} · {case['assessment']}", "",
f"来源：{case['source_file']}，row {case['row_index']}，{case['assigned_split']}", "",
f"类型：{case['issue_type']}；建议：{case['suggested_action']}", "", case["reason_zh"], ""])
fence = "```"
while fence in case["text"]:
fence += "`"
lines.extend([fence + "text", case["text"], fence, "", "原文上下文：", ""])
for original in case["original_lines"]:
lines.append(f"- {original['block_id']}：{original['text']}" + (" [截断]" if original["truncated"] else ""))
lines.append("")
if pending:
lines.extend(["## 待完成", "", "查看 pending.json / failures.json；修复后以同一输出目录续跑。", ""])
temporary = output / "issues.md.tmp"
temporary.write_text("\n".join(lines), encoding="utf-8")
temporary.replace(output / "issues.md")
return stats
def _run(input_dir, output, api_key="", workers=3, batch_size=10, rpm=8, tpm=80000,
max_batch_tokens=10000, max_output_tokens=2048, timeout=180, retries=2,
dry_run=False, endpoint=ENDPOINT, model=MODEL, transport=send_request, limiter=None, request_pool=None):
input_dir, output = Path(input_dir).resolve(), Path(output).resolve()
if output == input_dir or input_dir.is_relative_to(output):
raise ValueError("Output must not replace or contain the input directory.")
preparation, cases, prompt = load_materials(input_dir)
base = {"schema_version": 1, "materials_manifest_sha256": file_sha(input_dir / "manifest.json"),
"cases_sha256": preparation["cases_sha256"], "prompt_sha256": preparation["prompt_sha256"],
"endpoint": endpoint, "model": model, "temperature": 0}
case_keys = {case["id"]: digest({"base": base, "case": case}) for case in cases}
decisions, failures, usage, counts = {}, [], [], Counter()
if (output / "run-manifest.json").exists():
previous = json.loads((output / "run-manifest.json").read_text(encoding="utf-8"))
if previous.get("identity") != base:
raise ValueError("Output belongs to different materials, prompt, model or endpoint; use a new directory.")
for case in cases:
cache = output / "decisions" / f"{case_keys[case['id']]}.json"
if cache.exists():
saved = json.loads(cache.read_text(encoding="utf-8"))
if saved.get("case_signature") != case_keys[case["id"]]:
raise ValueError("Corrupted decision cache identity.")
body = {"choices": [{"message": {"content": json.dumps([saved["decision"]], ensure_ascii=False)}}]}
decisions.update(parse_decisions(body, [case]))
counts["cached_cases"] += 1
elif output.exists() and any(path.name != ".review.lock" for path in output.iterdir()):
raise FileExistsError("Output is nonempty without a compatible run manifest.")
remaining = [case for case in cases if case["id"] not in decisions]
batches, oversized = make_batches(remaining, prompt, model, batch_size, max_output_tokens, max_batch_tokens)
estimates = [token_reservation(payload_for(batch, prompt, model, max_output_tokens)) for batch in batches]
preview = {"total_cases": len(cases), "cached_cases": len(decisions), "remaining_cases": len(remaining),
"requests_planned": len(batches), "oversized_cases": [case["id"] for case in oversized],
"batch_case_counts": dict(Counter(len(batch) for batch in batches)),
"estimated_reserved_tokens": sum(estimates), "quota_lower_bound_minutes": max(len(batches) / rpm, sum(estimates) / tpm),
"estimate_note": "Offline UTF-8-based token estimate; actual provider usage reconciled after each response.",
"network_requests_sent": 0 if dry_run else None}
if request_pool is not None:
preview.update(accounts=request_pool.plan(), workers=workers)
preview["quota_lower_bound_minutes"] /= request_pool.size
print(json.dumps(preview, ensure_ascii=False, indent=2), flush=True)
if dry_run:
return preview
if batches and not api_key and request_pool is None:
raise ValueError("Set SJTU_API_KEY before starting review; --dry-run needs no key.")
for directory in (output, output / "responses", output / "cache", output / "decisions"):
directory.mkdir(parents=True, exist_ok=True)
runtime = {"workers": workers, "batch_size": batch_size, "rpm": rpm, "tpm": tpm,
"max_batch_tokens": max_batch_tokens, "max_output_tokens": max_output_tokens, "retries": retries}
if request_pool is not None:
runtime["accounts"] = request_pool.plan()
write_json(output / "run-manifest.json", {"identity": base, "runtime": runtime,
"review_code_sha256": file_sha(Path(__file__)), "advisory_only": True})
for case in oversized:
failures.append({"ids": [case["id"]], "error": "Case exceeds --max-batch-tokens; increase budget or prepare a bounded context; no request sent."})
limiter = limiter or QuotaLimiter(rpm, tpm)
stop = threading.Event()
secrets = request_pool.secrets if request_pool is not None else api_key
def save_report():
return report(output, cases, decisions, failures, usage, preparation, counts,
request_pool.snapshot() if request_pool is not None else None)
def review_batch(batch):
payload = payload_for(batch, prompt, model, max_output_tokens)
signature = request_signature(endpoint, payload, batch)
cache = output / "cache" / f"{signature}.json"
if cache.exists():
saved = json.loads(cache.read_text(encoding="utf-8"))
return parse_decisions(saved["body"], batch), [], [], Counter({"cached_batches": 1})
local_failures, local_usage, local_counts = [], [], Counter()
attempt, failed_attempts = 0, 0
while failed_attempts <= retries:
ticket = (request_pool or limiter).acquire(token_reservation(payload), stop)
if ticket is None:
return {}, local_failures, local_usage, local_counts
attempt += 1
request_key = request_pool.key(ticket) if request_pool is not None else api_key
local_counts["sent"] += 1
record = {"request": payload, "request_signature": signature, "attempt": attempt,
"case_ids": [case["id"] for case in batch]}
if request_pool is not None:
record["account"] = request_pool.label(ticket)
filename = output / "responses" / f"{time.time_ns()}-{signature[:12]}-{attempt}.json"
status, headers, raw = None, {}, ""
retry_wait = 0
try:
status, headers, raw = transport(endpoint, payload, request_key, timeout)
record.update(http_status=status, raw_response=raw)
write_json(filename, redact(record, secrets))
if len(raw.encode("utf-8")) > 8 * 1024 * 1024:
raise ValueError("Response exceeds local size limit.")
if status in {401, 403}:
if request_pool is not None:
request_pool.disable(ticket, status)
raise ValueError(f"HTTP {status}: account disabled for this run; other accounts may continue.")
else:
stop.set()
raise ValueError(f"HTTP {status}: authentication failed; remaining requests stopped.")
if status == 429:
pause = retry_after(headers, min(60 * (failed_attempts + 1), 180))
if request_pool is not None:
request_pool.pause(ticket, pause)
else:
limiter.pause(pause)
if status < 200 or status >= 300:
raise ValueError(f"HTTP {status}")
body = redact(json.loads(raw), secrets)
if request_pool is not None:
request_pool.finish(ticket, body.get("usage"))
else:
limiter.finish(ticket, body.get("usage"))
usage_record = {"response_file": filename.name, "usage": body.get("usage")}
if request_pool is not None:
usage_record["account"] = request_pool.label(ticket)
local_usage.append(usage_record)
parsed, canonical_body = parse_model_reply(body, batch, payload)
write_json(cache, redact({"body": canonical_body, "response_file": filename.name}, secrets))
local_counts["successful"] += 1
if request_pool is not None:
request_pool.success(ticket)
return parsed, local_failures, local_usage, local_counts
except Exception as error:
message = redact(f"{type(error).__name__}: {error}", secrets)
if not filename.exists():
write_json(filename, redact({**record, "error": message, "http_status": status}, secrets))
local_failures.append({"ids": [case["id"] for case in batch], "attempt": attempt,
"error": message, "response_file": filename.name})
local_counts["failed_attempts"] += 1
auth_failover = request_pool is not None and status in {401, 403}
if stop.is_set() or (status is not None and 400 <= status < 500 and status not in {408, 429} and not auth_failover):
break
if not auth_failover:
failed_attempts += 1
retry_wait = min(2 ** failed_attempts, 30) if failed_attempts <= retries else 0
finally:
if request_pool is not None:
request_pool.release(ticket)
if retry_wait:
stop.wait(retry_wait)
return {}, local_failures, local_usage, local_counts
stats = save_report()
executor = ThreadPoolExecutor(max_workers=workers)
futures = {}
try:
for batch in batches:
futures[executor.submit(review_batch, batch)] = batch
for future in as_completed(futures):
parsed, batch_failures, batch_usage, batch_counts = future.result()
failures.extend(batch_failures)
usage.extend(batch_usage)
counts.update(batch_counts)
decisions.update(parsed)
for case_id, decision in parsed.items():
write_json(output / "decisions" / f"{case_keys[case_id]}.json",
{"case_signature": case_keys[case_id], "decision": redact(decision, secrets)})
stats = save_report()
error_note = f"; last failure: {batch_failures[-1]['error']}" if batch_failures else ""
print(f"Completed {stats['completed_cases']}/{stats['total_cases']}; pending {stats['pending_cases']}{error_note}", flush=True)
except BaseException:
stop.set()
for future in futures:
future.cancel()
raise
finally:
stop.set()
executor.shutdown(wait=True, cancel_futures=True)
print(f"Report: {output / 'issues.md'}", flush=True)
if stats["pending_cases"]:
print(f"Review incomplete: {stats['pending_cases']} cases pending; see failures.json and resume the same output directory.", flush=True)
return stats
def run(input_dir, output, api_key="", workers=3, batch_size=10, rpm=8, tpm=80000,
max_batch_tokens=10000, max_output_tokens=2048, timeout=180, retries=2,
dry_run=False, endpoint=ENDPOINT, model=MODEL, transport=send_request, limiter=None, request_pool=None):
options = dict(api_key=api_key, workers=workers, batch_size=batch_size, rpm=rpm, tpm=tpm,
max_batch_tokens=max_batch_tokens, max_output_tokens=max_output_tokens,
timeout=timeout, retries=retries, dry_run=dry_run, endpoint=endpoint,
model=model, transport=transport, limiter=limiter, request_pool=request_pool)
if dry_run:
return _run(input_dir, output, **options)
# Validate before creating an output directory. Hold the lock across cache
# reads, requests and final exports; the OS releases it after a crash.
from vimeml.review.multi_key import output_lock
load_materials(Path(input_dir).resolve())
target, source = Path(output).resolve(), Path(input_dir).resolve()
if target == source or source.is_relative_to(target):
raise ValueError("Output must not replace or contain the input directory.")
with output_lock(target):
return _run(input_dir, output, **options)
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--input-dir", type=Path, default=ROOT / "outputs/corpus-review-v1")
parser.add_argument("--output-dir", type=Path, help="Default: INPUT/review")
parser.add_argument("--workers", type=int, default=3)
parser.add_argument("--batch-size", type=int, default=10)
parser.add_argument("--rpm", type=int, default=8)
parser.add_argument("--tpm", type=int, default=80000)
parser.add_argument("--max-batch-tokens", type=int, default=10000)
parser.add_argument("--max-output-tokens", type=int, default=2048)
parser.add_argument("--timeout", type=int, default=180)
parser.add_argument("--retries", type=int, default=2)
parser.add_argument("--model", default=MODEL)
parser.add_argument("--dry-run", action="store_true", help="Validate/count batches without writing or making network requests.")
args = parser.parse_args()
if not 1 <= args.workers <= 8 or not 1 <= args.rpm <= 10 or not 1 <= args.tpm <= 100000:
parser.error("workers must be 1..8; rpm 1..10; tpm 1..100000.")
if min(args.batch_size, args.timeout, args.max_output_tokens) < 1 or not args.max_output_tokens < args.max_batch_tokens <= args.tpm or not 0 <= args.retries <= 5:
parser.error("Invalid batch, output budget, timeout or retries.")
api_key = "" if args.dry_run else os.environ.get("SJTU_API_KEY", "").strip()
result = run(args.input_dir, args.output_dir or args.input_dir / "review", api_key,
args.workers, args.batch_size, args.rpm, args.tpm, args.max_batch_tokens, args.max_output_tokens,
args.timeout, args.retries, args.dry_run, model=args.model)
if not args.dry_run and result["pending_cases"]:
raise SystemExit(1)
if __name__ == "__main__":
main()
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