List a Django app's urlpatterns in a table

example.py

#
# General setup
# Import your app and set APP_URLS to your urlpatterns
#
import iss.urls
APP_URLS = iss.urls.urlpatterns

from url_levels import url_levels 
out = url_levels(APP_URLS)

#
# IPython Notebook with pandas
#
import pandas
from IPython.display import HTML

HTML(pandas.DataFrame(out).to_html())

#
# Terminal
# See https://github.com/RickyCook/pptable for pptable.py
#
from pptable import pptable
pptable(out)

url_levels.py

"""
List a Django app's urlpatterns.

This is better, in some ways, than ./manage.py show_urls, as it shows
the full regexes that match.
"""

def url_levels(pat, prefix=None):
    """
    Compile a list of all Django url patterns in a formatted array
    """
    if prefix is None:
        prefix = []
    try:
        all = []

        loop_list = pat
        if hasattr(pat, 'url_patterns'):
            loop_list = pat.url_patterns

        for url in loop_list:
            all += url_levels(url, prefix + [url.regex.pattern])

        return all
    except TypeError:
        return [prefix]

zexample.ipynb

{
 "metadata": {
  "name": "URL Patterns"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import iss.urls\nAPP_URLS = iss.urls.urlpatterns ",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "List a Django app's urlpatterns"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "This is better, in some ways, than `./manage.py show_urls`, as it shows the full regexes that match."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def url_levels(pat, prefix=None):\n    \"\"\"\n    Compile a list of all Django url patterns in a formatted array\n    \"\"\"\n    if prefix is None:\n        prefix = []\n    try:\n        all = []\n \n        loop_list = pat\n        if hasattr(pat, 'url_patterns'):\n            loop_list = pat.url_patterns\n \n        for url in loop_list:\n            all += url_levels(url, prefix + [url.regex.pattern])\n \n        return all\n    except TypeError:\n        return [prefix]",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "IPython Notebook with pandas"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import pandas\nfrom IPython.display import HTML\n\nHTML(pandas.DataFrame(url_levels(APP_URLS)).to_html())",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "Terminal"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "`pptable` at https://gist.github.com/RickyCook/8428938"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def getindex(lst, idx, default=None):\n    \"\"\"\n    Get index from list, or default\n    \"\"\"\n    try:\n        return lst[idx]\n    except IndexError:\n        return default\n\ndef pprow(row, widths):\n    \"\"\"\n    Print a table row, padding columns where necessary\n    \"\"\"\n    print \"| \" + \" | \".join(\n        \"{:{}}\".format(col_val, widths[col_idx])\n        for col_idx, col_val\n        in enumerate(row)\n    ) + \" |\"\n\ndef pptable(table):\n    \"\"\"\n    Print a formatted table\n\n    pptable([\n        ('a', 'b', 'c'),\n        ('aa', 'bb', 'cc'),\n    ])\n\n    | 0  | 1  | 2  |\n    | a  | b  | c  |\n    | aa | bb | cc |\n    \"\"\"\n    max_cols = max(len(row) for row in table)\n    col_indexes = xrange(0, max_cols)\n\n    # Normalize the table columns\n    table = [[getindex(row, idx, '') for idx in col_indexes]\n             for row in table\n             ]\n\n    # Get col widths\n    col_width = [max(len(row)\n                     for row\n                     in (i[j] for i in table)\n                     )\n                 for j in col_indexes\n                 ]\n\n    # Print header, data\n    pprow(col_indexes, col_width)\n    for row in table:\n        pprow(row, col_width)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "pptable(url_levels(APP_URLS))",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}