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