Cross-discipline design-contradiction checker for construction drawing sets. Standalone tool broken out from Iron_Bid; a pipeline stage may later fold back into Iron_Bid. Pipeline: PDF->images -> per-sheet assertion extraction -> deterministic clustering by location -> per-cluster reasoning -> report. Includes CLI (cli/run_check.py) and web UI (backend/main.py). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
167 lines
5.9 KiB
Python
167 lines
5.9 KiB
Python
"""
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jobs.py - Lightweight async job registry for conflict checks.
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A conflict check takes minutes, so the HTTP request must not block on it. Each
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upload becomes a job that runs on a background thread; the client gets a job_id
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immediately and can either poll GET /jobs/{id} or just close the page and wait
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for the completion email.
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State is in-memory (fine for a single-user tool); the report is also persisted
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to outputs/<job_id>/ so results survive a restart even though live status does
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not. No external queue/DB.
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"""
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import os
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import time
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import uuid
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import shutil
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import threading
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from typing import Dict, Optional
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from backend import config
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from backend.pipeline.runner import run_pipeline
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from backend.email_sender import send_conflict_report
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_jobs: Dict[str, Dict] = {}
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_lock = threading.Lock()
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def _set(job_id: str, **fields) -> None:
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with _lock:
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_jobs[job_id].update(fields)
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def create_job(pdf_path: str, source_filename: str, email: Optional[str] = None,
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project_input: Optional[Dict] = None, text_local: bool = False) -> str:
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"""Register a job and kick off its background thread. Returns the job_id."""
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job_id = uuid.uuid4().hex[:12]
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with _lock:
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_jobs[job_id] = {
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"job_id": job_id,
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"status": "queued", # queued -> running -> done | error
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"source": source_filename,
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"email": email or None,
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"project_input": project_input or {},
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"text_local": text_local,
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"stage": None,
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"created_at": time.time(),
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"finished_at": None,
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"report": None,
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"error": None,
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}
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threading.Thread(target=_run, args=(job_id, pdf_path, project_input, text_local),
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daemon=True).start()
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return job_id
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def _run(job_id: str, pdf_path: str, project_input: Optional[Dict] = None,
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text_local: bool = False) -> None:
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out_dir = os.path.join(config.OUTPUT_DIR, job_id)
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try:
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_set(job_id, status="running")
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# Keep a copy of the source PDF so its sheets can be viewed later.
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os.makedirs(out_dir, exist_ok=True)
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shutil.copy2(pdf_path, os.path.join(out_dir, "source.pdf"))
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report = run_pipeline(
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pdf_path,
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out_dir=out_dir,
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on_stage=lambda name: _set(job_id, stage=name),
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project_input=project_input,
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source_name=_jobs[job_id].get("source"),
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text_local=text_local,
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)
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_set(job_id, status="done", report=report, finished_at=time.time(), stage=None)
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_notify(job_id, report, out_dir)
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except Exception as e:
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print(f"[Jobs] Job {job_id} failed: {e}")
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_set(job_id, status="error", error=str(e), finished_at=time.time())
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_notify_error(job_id)
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finally:
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try:
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os.remove(pdf_path)
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except OSError:
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pass
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def _notify(job_id: str, report: Dict, out_dir: str) -> None:
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email = _jobs[job_id].get("email")
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if not email:
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return
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results_url = f"{config.APP_BASE_URL.rstrip('/')}/?job={job_id}"
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attachments = [
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os.path.join(out_dir, "report.md"),
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os.path.join(out_dir, "conflicts.json"),
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os.path.join(out_dir, "validated_issues.json"),
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os.path.join(out_dir, "rfis.json"),
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]
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send_conflict_report(email, report, results_url=results_url, attachments=attachments)
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def _notify_error(job_id: str) -> None:
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job = _jobs[job_id]
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email = job.get("email")
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if not email:
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return
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# Reuse the report mailer with a minimal error-shaped payload.
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err_report = {
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"source": job.get("source", ""),
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"summary": {"conflicts_found": 0, "by_severity": {}, "disciplines": []},
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}
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try:
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from backend.email_sender import _smtp_ready, _send
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from email.message import EmailMessage
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if not _smtp_ready():
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print(f"[Email] SMTP not configured - skipping error notice to {email}")
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return
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msg = EmailMessage()
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msg["Subject"] = f"Conflict Checker - {job.get('source','')} - run FAILED"
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msg["From"] = config.SMTP_FROM or config.SMTP_USER
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msg["To"] = email
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msg.set_content(
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"Your conflict check did not complete.\n\n"
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f"Drawing set: {job.get('source','')}\n"
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f"Error: {job.get('error','unknown')}\n\n"
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"Generated by Conflict Checker"
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)
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_send(msg)
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except Exception as e:
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print(f"[Email] Failed to send error notice: {e}")
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def get_job(job_id: str) -> Optional[Dict]:
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"""Public job view. Includes the full report only when done.
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Falls back to the on-disk conflicts.json when the job isn't in the
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in-memory registry (e.g. after a server restart).
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"""
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with _lock:
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job = _jobs.get(job_id)
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if job:
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return dict(job)
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# Try loading from disk
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report_path = os.path.join(config.OUTPUT_DIR, job_id, "conflicts.json")
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if not os.path.isfile(report_path):
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return None
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try:
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import json
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with open(report_path, encoding="utf-8") as f:
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report = json.load(f)
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source_pdf = os.path.join(config.OUTPUT_DIR, job_id, "source.pdf")
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return {
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"job_id": job_id,
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"status": "done",
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"source": report.get("source", os.path.basename(report_path)),
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"email": None,
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"project_input": report.get("project_input", {}),
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"text_local": report.get("summary", {}).get("text_backend") == "local",
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"stage": None,
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"created_at": os.path.getmtime(source_pdf) if os.path.isfile(source_pdf) else None,
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"finished_at": os.path.getmtime(report_path),
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"report": report,
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"error": None,
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}
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except Exception as e:
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print(f"[Jobs] Failed to load job {job_id} from disk: {e}")
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return None
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