Python & Visual Studio code
The official python plugin claims that the interpreters of Pipenv are automatically found.
They are not.
At least not on my machine.
Tagged: python Toggle Comment Threads | Keyboard Shortcuts
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penguin
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penguin
JIRA and Python
I really came to hating JIRA with a passion. And now I have to create about 350 tickets.
Naturally I don’t do this by hand. But using the JIRA API is kind of … hard, there is a Python library, but usage is rather sparsely documented, and this whole thing is just annoying as hell.
Although when you did it, it’s quite simple. Here’s an example of how to create a ticket with due date and estimate set from a CSV file:
12345678910111213141516171819202122232425262728293031from pprint import pprint, pformatfrom getpass import getpassimport jiradef do_shit():url = read("JIRA url:")username = read("JIRA username:")password = getpass("JIRA password:")jira_inst = jira.JIRA(url, basic_auth=(username, password))test = {"project": {"key": "TEST"},"issuetype": {"name": "Task"},"labels": ["deleteme", "whatisthis"],"summary": "woho","description": "wohooooo","duedate": "2017-11-11","timetracking": {"originalEstimate": "4d"},}created = jira_inst.create_issues([test])pprint(created)if __name__ == "__main__":do_shit()So simple.
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Mika
Hi Axel, hast Du auch einen Twitter Account, in dem Du über neue Updates aus Deinem Blog informierst, oder ist der RSS Feed meine (einzige?) Anlaufstelle?
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penguin
Hey Mika, gute Idee eigentlich 🙂 . Aktuell ist es nur RSS. Ich könnte allerdings einen Twitter-Feed dafür einrichten … .
Freut mich allerdings dass du auf dem Laufenden bleiben möchtest 😀 . Und sorry wegen der langen Antwortzeit – ich war 4 Wochen im Urlaub. Dringend notwendig.-
penguin
Ich bin doch dämlich – du kannst mir jetzt schon auf Twitter folgen – ist halt nicht *nur* das Blog, sondern auch privat 😉 .
https://twitter.com/the_me
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penguin
PyCharm, Arch linux & Python 3.6
Love Python. Love PyCharm. Love Arch Linux.
Unfortunately Arch sneakily updated Python to 3.6. Cool, new version … but hey, why don’t my debug runs in PyCharm work any more??
1ImportError: libpython3.5m.so.1.0: cannot open shared object file: No such file or directoryYup, pretty confusing. It seems unable to find shared python 3.5 library. Well. After some cursing, turns out the solution is pretty simple (if you know what to do):
- get pyenv
- use pyenv to install Python 3.5.2, but with –enable-shared option set
- use this python version for PyCharm projects (it does not matter if it’s in a virtualenv or not)
Like this:
12345$ PYTHON_CONFIGURE_OPTS="--enable-shared" pyenv install 3.5.2[...]$ sudo $HOME/.pyenv/versions/3.5.2/bin/python "/opt/pycharm-professional/helpers/pydev/setup_cython.py" build_ext --inplace[...]$ _That solved it for me 🙂
References:
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penguin
Really annoying thread properties
This sucks monkey ass, mainly because I didn’t think of that before. And that’s just one example why multi-threaded (soon to be -processing, probably) applications are hard.
[code]import subprocess as sp
import time
import os
from threading import Threadclass MyThread(Thread):
def __init__(self, mydir):
super().__init__()
self.mydir = mydirdef run(self):
os.chdir(self.mydir)
time.sleep(2)
print("I’m (%s) in directory %s"
% (str(self), os.getcwd()))if __name__ == "__main__":
MyThread("/tmp").start()
time.sleep(1)
MyThread("/").start()
[/code]Result is:
[code]I’m (<MyThread(Thread-1, started 140195858716416)>) in directory /
I’m (<MyThread(Thread-2, started 140195850323712)>) in directory /[/code] -
penguin
OpenStack floating IP convenience
Problem: I am working in a tenant which has a couple of hosts with floating IPs assigned. I always have to look them up either manually using the command line clients (and dealing with all those UUIDs), or manually in the web GUI. Didn’t like.
Solution: Python script, which outputs FLOATING_IP -> HOST_NAME.
Here it is.
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152#!/usr/bin/env pythonfrom novaclient import clientimport novaclient.v2.floating_ips as os_fipsimport novaclient.v2.servers as os_serversimport novaclient.v2.networks as os_networks#from pprint import pprint as ppimport osfrom sys import exitdef error(printme):print("ERROR: {}".format(printme))exit(-1)def check_env():for a in ("OS_TENANT_ID", "OS_TENANT_NAME", "OS_AUTH_URL", "OS_USERNAME", "OS_PASSWORD"):if not os.environ.get(a): error("Please set ${}".format(a))def get_client():check_env()return client.Client(2,os.environ["OS_USERNAME"],os.environ["OS_PASSWORD"],os.environ["OS_TENANT_NAME"],os.environ["OS_AUTH_URL"])if __name__=="__main__":nova = get_client()fipman = os_fips.FloatingIPManager(nova)servman = os_servers.ServerManager(nova)netman = os_networks.NetworkManager(nova)ips = fipman.list()srs = servman.list()id2server = {}for a in srs:id2server[a.id] = aips = [(ip.ip, ip.instance_id) for ip in ips]# filter out unused floating ips (which have as instance id)ips = filter(lambda x: x[1], ips)# create (IP, SERVER_NAME pairs)ips = map(lambda x: (x[0], id2server[x[1]].name), ips)# sort for convenience by host instance nameips = sorted(ips, key=lambda x: x[1].lower())for a in ips:print("{:18s} {}".format(a[0], a[1]))Sample output:
12345678$ tools/list_ips10.64.108.163 ab_1695_1_dml10.64.108.199 ab_1695_1_jump10.64.108.160 media010.64.109.97 RJD1_CouchbaseA110.64.109.99 RJD1_JumpServer10.64.109.98 RJD1_OpenshiftMaster10.64.109.148 tla-centos66Groovy.
Main sources:
Mika are discussing. 
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