Request Tracker Querying Library
Project description
Abstract
Simplifies query interface for Request Tracker’s rest-api lib RT Library. Main query interface has been take from Django Framework project
Requirements
- Python 3.4+
- RT Library (it’s not dependency itself, but it uses in examples)
Usage
import rt client = rt.Rt('http://localhost/rt/REST/1.0/', basic_auth=('user', 'password')) assert client.login() #: rt filtering does not support `in` operation, so interface looks similar #: to django querying, but it sticks to its limits. query = Q(Subject__contains='[improvements]') | Q(Subject__contains='[enhancements]') query &= Q(Queue='development', Status='sprint', Owner='User', Priority__gt=80) result = client.search(Queue=rt.ALL_QUEUES, raw_query=query.resolve()) print(result) [{ "id": "ticket/471147", "Queue": "development", "Owner": "User", "Creator": "User", "Subject": "[improvements] Implement Requests Tracker simple querying", "Status": "sprint", "Priority": "99", "InitialPriority": "40", "FinalPriority": "40", "Requestors": [ "user@example.org.fake" ], "Created": "Thu Nov 02 19:26:40 2017", "Starts": "Not set", "Started": "Thu Nov 02 19:27:12 2017", "Due": "Not set", "Resolved": "Not set", "Told": "Not set", "LastUpdated": "Thu Nov 09 17:20:33 2017", "TimeEstimated": "180 minutes", "TimeWorked": "0", "TimeLeft": "0", "CF.{Tags}": "extra", "CF.{Code Review}": "", "CF.{Difficulty}": "" }]
Extra functionality
In addition to existent rtquery.Q you can also try to use utils.query builder which is simple dsl to make Q objects from user input (argument parser for example)
from rtquery.utils import query qset = query("Queue = development & Status = sprint & Owner ~ user") result = client.search(Queue=rt.ALL_QUEUES, raw_query=query.resolve()) # ...
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