#!/usr/bin/env python import base64 import json import os import pickle import sys from multiprocessing import Pool from rt.rest1 import Rt TEMPLATE = """{ "zammad_url": "", "zammad_user": "", "zammad_password": "", "rt_url": "", "rt_user": "", "rt_pass": "", "rt_start": 1, "rt_end": 1000, } """ ### helpers ### def maybe_dump_user(rt, username): dumpfile = f"users/{username}" if not os.path.exists(dumpfile): user = rt.get_user(username) with open(dumpfile, "wb") as handle: pickle.dump(user, handle) ### main logic ### if not os.path.exists("rt2zammad.json"): print("Missing rt2zammad.json!") print("Create one based on following template:") print(TEMPLATE) sys.exit(1) with open("rt2zammad.json") as handle: config = json.load(handle) rt = Rt(config["rt_url"], config["rt_user"], config["rt_pass"]) if not rt.login(): print("Failed to login to RT!") sys.exit(2) os.makedirs("users", exist_ok=True) os.makedirs("tickets", exist_ok=True) os.makedirs("attachments", exist_ok=True) ticket_ids = range(config["rt_start"], config["rt_end"]) def dump(id, retries=3): print(f"Dumping RT#{id}") try: ticket_dumpfile = f"tickets/{id}" if not os.path.exists(ticket_dumpfile): ticket = rt.get_ticket(id) if ticket is None: print("Got 'None' while fetching ticket") os.exit(1) ticket["original_id"] = str(id) if ticket["Queue"] != 'spam': maybe_dump_user(rt, ticket["Creator"]) maybe_dump_user(rt, ticket["Owner"]) if ticket["original_id"] != ticket["numerical_id"]: # Merged ticket history = [] else: history = rt.get_history(id) for item in history: for a, title in item["Attachments"]: attachment = rt.get_attachment(id, a) os.makedirs(f"attachments/{id}", exist_ok=True) with open(f"attachments/{id}/{a}", "wb") as handle: pickle.dump(attachment, handle) maybe_dump_user(rt, item["Creator"]) data = {"ticket": ticket, "history": history} with open(ticket_dumpfile, "wb") as handle: pickle.dump(data, handle) except: print(f"Failed to dump RT#{id}.. ({retries} retries left)") if retries > 0: dump(id, retries - 1) worker_count = 4 with Pool(worker_count) as p: p.map(dump, ticket_ids, chunksize=10)