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profimp - generates tree of imports profiles

Project description

https://api.travis-ci.org/boris-42/profimp.svg?branch=master

Profimp allows you to trace imports of your code.

This lib should be used to simplify optimization of imports in your code. At least you will find what consumes the most part of time and do the right decisions.

Installation

Installation of profimp is super easy:

sudo pip install profimp

or

git clone https://github.com/boris-42/profimp && cd profimp
sudo python setup.py install

Usage

Syntax:

profimp [import_module_line] [--html]

Samples:

profimp "import collections"

profimp "from somemoudle import something"

prpfimp --html "import multiprocessing"

Pretty HTML reports

if you run prpfimp with –html key you will get pretty html output

profimp "import collections"
profimp --html "import collections"

Raw JSON Results

In output you will see something like:

profimp "import collections"

{
  "level": 0,
  "finished_at": 1427986324.921502,
  "import_line": "root",
  "duration": 1.0581016540527344,
  "started_at": 1427986324.920444,
  "children": [
    {
      "level": 1,
      "finished_at": 1427986324.9215,
      "import_line": "import collections",
      "duration": 1.0390281677246094,
      "started_at": 1427986324.920461,
      "children": [
        {
          "level": 2,
          "finished_at": 1427986324.920694,
          "import_line": "from _abcoll import *",
          "duration": 0.006198883056640625,
          "started_at": 1427986324.920688,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.920702,
          "import_line": "import _abcoll",
          "duration": 0.0019073486328125,
          "started_at": 1427986324.9207,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.920891,
          "import_line": "from _collections import deque, defaultdict",
          "duration": 0.1850128173828125,
          "started_at": 1427986324.920706,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.920899,
          "import_line": "from operator import itemgetter, eq",
          "duration": 0.00286102294921875,
          "started_at": 1427986324.920896,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.921064,
          "import_line": "from keyword import iskeyword",
          "duration": 0.16188621520996094,
          "started_at": 1427986324.920902,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.92107,
          "import_line": "import sys",
          "duration": 0.0021457672119140625,
          "started_at": 1427986324.921068,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.921402,
          "import_line": "import heapq",
          "duration": 0.3299713134765625,
          "started_at": 1427986324.921072,
          "children": [
            {
              "level": 3,
              "finished_at": 1427986324.921241,
              "import_line": "from itertools import islice, count, imap, izip, tee, chain",
              "duration": 0.0040531158447265625,
              "started_at": 1427986324.921237,
              "children": []
            },
            {
              "level": 3,
              "finished_at": 1427986324.921246,
              "import_line": "from operator import itemgetter",
              "duration": 0.0021457672119140625,
              "started_at": 1427986324.921244,
              "children": []
            },
            {
              "level": 3,
              "finished_at": 1427986324.921391,
              "import_line": "from _heapq import *",
              "duration": 0.13899803161621094,
              "started_at": 1427986324.921252,
              "children": []
            }
          ]
        },
        {
          "level": 2,
          "finished_at": 1427986324.921409,
          "import_line": "from itertools import repeat, chain, starmap",
          "duration": 0.00286102294921875,
          "started_at": 1427986324.921406,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.921413,
          "import_line": "from itertools import imap",
          "duration": 0.0019073486328125,
          "started_at": 1427986324.921411,
          "children": []
        },
        {
          "level": 2,
          "finished_at": 1427986324.921455,
          "import_line": "from thread import get_ident",
          "duration": 0.03981590270996094,
          "started_at": 1427986324.921415,
          "children": []
        }
      ]
    }
  ]

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
profimp-0.0.3.macosx-10.10-intel.exe (77.4 kB) Copy SHA256 hash SHA256 Windows Installer any Apr 13, 2015
profimp-0.0.3.tar.gz (194.2 kB) Copy SHA256 hash SHA256 Source None Apr 13, 2015

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