Floke
11d2bc03bf
✦ In dieser Sitzung haben wir den End-to-End-Test der SuperOffice-Schnittstelle erfolgreich von der automatisierten Simulation bis zum produktiven Live-Lauf mit Echtdaten abgeschlossen.
128 lines
4.4 KiB
Python
128 lines
4.4 KiB
Python
import sqlite3
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import json
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from datetime import datetime, timedelta
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import os
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DB_PATH = os.getenv("DB_PATH", "connector_queue.db")
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class JobQueue:
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def __init__(self):
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self._init_db()
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def _init_db(self):
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with sqlite3.connect(DB_PATH) as conn:
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conn.execute("""
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CREATE TABLE IF NOT EXISTS jobs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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event_type TEXT,
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payload TEXT,
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status TEXT DEFAULT 'PENDING',
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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error_msg TEXT,
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next_try_at TIMESTAMP
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)
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""")
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# Migration for existing DBs
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try:
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conn.execute("ALTER TABLE jobs ADD COLUMN next_try_at TIMESTAMP")
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except sqlite3.OperationalError:
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pass
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def add_job(self, event_type: str, payload: dict):
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with sqlite3.connect(DB_PATH) as conn:
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conn.execute(
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"INSERT INTO jobs (event_type, payload, status) VALUES (?, ?, ?)",
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(event_type, json.dumps(payload), 'PENDING')
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)
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def get_next_job(self):
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"""
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Atomically fetches the next pending job where next_try_at is reached.
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"""
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job = None
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with sqlite3.connect(DB_PATH) as conn:
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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# Lock the job
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cursor.execute("BEGIN EXCLUSIVE")
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try:
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cursor.execute("""
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SELECT id, event_type, payload, created_at
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FROM jobs
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WHERE status = 'PENDING'
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AND (next_try_at IS NULL OR next_try_at <= datetime('now'))
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ORDER BY created_at ASC
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LIMIT 1
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""")
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row = cursor.fetchone()
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if row:
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job = dict(row)
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# Mark as processing
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cursor.execute(
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"UPDATE jobs SET status = 'PROCESSING', updated_at = datetime('now') WHERE id = ?",
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(job['id'],)
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)
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conn.commit()
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else:
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conn.rollback() # No job found
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except Exception:
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conn.rollback()
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raise
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if job:
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job['payload'] = json.loads(job['payload'])
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return job
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def retry_job_later(self, job_id, delay_seconds=60):
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next_try = datetime.utcnow() + timedelta(seconds=delay_seconds)
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with sqlite3.connect(DB_PATH) as conn:
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conn.execute(
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"UPDATE jobs SET status = 'PENDING', next_try_at = ?, updated_at = datetime('now') WHERE id = ?",
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(next_try, job_id)
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)
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def complete_job(self, job_id):
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with sqlite3.connect(DB_PATH) as conn:
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conn.execute(
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"UPDATE jobs SET status = 'COMPLETED', updated_at = datetime('now') WHERE id = ?",
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(job_id,)
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)
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def fail_job(self, job_id, error_msg):
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with sqlite3.connect(DB_PATH) as conn:
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conn.execute(
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"UPDATE jobs SET status = 'FAILED', error_msg = ?, updated_at = datetime('now') WHERE id = ?",
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(str(error_msg), job_id)
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)
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def get_stats(self):
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with sqlite3.connect(DB_PATH) as conn:
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cursor = conn.cursor()
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cursor.execute("SELECT status, COUNT(*) FROM jobs GROUP BY status")
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return dict(cursor.fetchall())
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def get_recent_jobs(self, limit=50):
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with sqlite3.connect(DB_PATH) as conn:
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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cursor.execute("""
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SELECT id, event_type, status, created_at, updated_at, error_msg, payload
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FROM jobs
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ORDER BY updated_at DESC, created_at DESC
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LIMIT ?
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""", (limit,))
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rows = cursor.fetchall()
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results = []
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for row in rows:
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r = dict(row)
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try:
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r['payload'] = json.loads(r['payload'])
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except:
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pass
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results.append(r)
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return results
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