Oleksii Diian diyan

Docker image - https://hub.docker.com/r/diyan/pgcli/

# gdb python
(gdb) run /usr/bin/pgcli --host=postgres --user=postgres
Starting program: /usr/bin/python /usr/bin/pgcli --host=postgres --user=postgres
[New LWP 79]
Version: 0.20.1
Chat: https://gitter.im/dbcli/pgcli
Mail: https://groups.google.com/forum/#!forum/pgcli

Repro steps for `gvt fetch`

mkdir 1_cheggaaa_pb && cd $_
gvt fetch github.com/cheggaaa/pb
mkdir 2_go_github && cd $_
gvt fetch github.com/google/go-github/github
mkdir 3_uitable && cd $_
gvt fetch github.com/gosuri/uitable
mkdir 4_oauth2 && cd $_
gvt fetch golang.org/x/oauth2

Most starred tools that supports GO15VENDOREXPERIMENT

godep, glide, govendor, gvt

Most starred tools that does not supports GO15VENDOREXPERIMENT

gb, gom, gpm, gopm, goop, nut, johnny-deps, gopkg, gopack, gigo

GitHub stats at 2016-01-02

repo                   	stars	forks	lang
tools/godep            	2954 	263  	Go

Fix. Default output from 'docker ps' command is too wide

$ docker ps -a

CONTAINER ID        IMAGE                    COMMAND                CREATED             STATUS                     PORTS               NAMES
e33e91281698        choam_nagios4            "/usr/bin/supervisor   12 days ago         Exited (0) 12 days ago                         choam_nagios4

Evaluate how different ES6 generator runners (Q, Bluebird and Co) behaves with buggy code

var Q = require('q');
var bluebird = require('bluebird');
var co = require('co');

Desktop

UI Automation. Desktop. Python

GUI toolkit agnostic

autopy - simple, cross-platform GUI automation toolkit. MIT - https://github.com/msanders/autopy/

432 stars, 102 forks, 2950 monthly downloads at 2015-05-13
GUI toolkit agnostic

I've used strucutred logging approach in Python (with structlog library).

Now looking for same options but in Golang.

Candidates are logxi, log15 and logrus.

IMO log15 has most idiomatic API while logxi is most convenient (due to stack context info)

To build and run I'm using following:

Did a try to setup matplotlib for PyPy in Docker container with Ubuntu 14.04 to run Multi Mechanize load test tool.

Good news: NumPy can be easily installed for PyPy.

Bad news: matplotlib failed to install most likely due lack of NumPy's C-API.

If anyone have workaround for building matplotlib for PyPy I would happy to get your suggestions.

Dockerfile

uWSGI logging configuration that could be used with central logging servers such as Logstash, Fluentd, etc.

[uwsgi]
project = some_project
...

# file: prefix is required for req-logger
req-logger = file:/var/log/%(project)/%(project)_access.log
log-format = "method": "%(method)", "uri": "%(uri)", "proto": "%(proto)", "status": %(status), "referer": "%(referer)", "user_agent": "%(uagent)", "remote_addr": "%(addr)", "http_host": "%(host)", "pid": %(pid), "worker_id": %(wid), "core": %(core), "async_switches": %(switches), "io_errors": %(ioerr), "rq_size": %(cl), "rs_time_ms": %(msecs), "rs_size": %(size), "rs_header_size": %(hsize), "rs_header_count": %(headers)

	""" Evaluate different validators libraries.

	Test YAML request model to validate:

	TestRequest:
	description: A test request with different attributes.
	required: [first_name, last_name, email, password]
	properties:
	first_name:
	type: string