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jailuthra/decorators.ipynb

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decorators.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Decorators and Functional Programming in Python\n",
"\n",
"Derived from the notebook: http://anandology.com/nb/2014/decorators-demystified/ (Was a workshop in Pycon India '14)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"16\n"
]
}
],
"source": [
"def square(x):\n",
" return x*x\n",
"\n",
"print(square(4))\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<function square at 0x7f8fdd684ae8>\n"
]
}
],
"source": [
"print(square)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"f = square"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<function square at 0x7f8fdd684ae8>\n"
]
}
],
"source": [
"print(f)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"They're called first-class objects"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def sum_of_square(x, y):\n",
" return square(x) + square(y)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"25"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sum_of_square(3,4)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"13"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def sum_of(f, x, y):\n",
" return f(x) + f(y)\n",
"\n",
"sum_of(square, 2, 3)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def mod3(x):\n",
" return x % 3\n",
"\n",
"sum_of(mod3, 4, 5)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sum_of(lambda x: x %3, 4, 5)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"mod4 = lambda x: x % 4\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mod4(17)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<function <lambda> at 0x7f8fdce3a158>\n"
]
}
],
"source": [
"print(lambda x: x % 4)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'Haskell'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"max([\"Python\", \"Haskell\"], key=len)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<built-in function len>\n"
]
}
],
"source": [
"print(len)\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n"
]
}
],
"source": [
"len(\"Python\")\n",
"print(\"python\" > \"haskell\")\n",
"print(len(\"python\") > len(\"haskell\"))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def incr(x, amount=1):\n",
" return x + amount"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"incr(4)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"incr(4, 2)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def sub(x, y):\n",
" return x-y\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"-2"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sub(3, 5)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"-2"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sub(x=3, y=5)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"-2"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sub(y=5, x=3)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"max(1,2,3,4,5)\n"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 3, 5)\n",
"(8, 1)\n"
]
}
],
"source": [
"def f(*args):\n",
" print(args)\n",
" \n",
"f(2,3,5)\n",
"f(8,1)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def xprint(label, *args):\n",
" print(type(args))\n",
" for a in args:\n",
" print(label, a)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'tuple'>\n",
"Info 1\n",
"Info 2\n",
"Info 3\n"
]
}
],
"source": [
"xprint(\"Info\", 1,2,3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"**Problem** Implement a function maximum that takes 2 values x and y and a key function as argument and finds the maximum by comparing key(x) and key(y).\n",
"\n",
" >>> maximum(3, -4, abs)\n",
" -4\n",
" >>> maximum(\"Python\", \"Haskell\", len)\n",
" 'Haskell'\n",
" >>> maximum(\"java\", \"Python\", lambda s: s.lower())\n",
" 'Python'\n",
"\n",
"\n",
"\n",
"**Problem** Write a function strjoin that takes a separator as first argument followed by variable number of strings to join with that separator.\n",
"```\n",
">>> strjoin(\"-\", \"a\", \"b\", \"c\")\n",
"\"a-b-c\"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def maximum(*args, key=lambda x: x):\n",
" best = args[0]\n",
" for i in args:\n",
" if (key(i) > key(best)):\n",
" best = i\n",
" return best\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'Haskell'"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"maximum('aloo', 'python', 'z', 'Haskell', key=len)\n"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'a-b-c'"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def strjoin(sep, *args):\n",
" return sep.join(args)\n",
"\n",
"strjoin(\"-\", \"a\", \"b\", \"c\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Just like variable args, you can have variable keword args too, just use ** instead of *\n",
"\n",
"def f(**kwargs):\n",
" print(kwargs)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'abcd': 3, 'y': 2, 'x': 1}\n"
]
}
],
"source": [
"f(x=1, y=2, abcd=3)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[2, 3, 4, 5]"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[int(x) for x in '2 3 4 5'.split()] # List comprehension"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[('href', 'http://iiitd.ac.in'), ('title', 'IIIT-D')]"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[(k,v) for k, v in {'title': 'IIIT-D', 'href': 'http://iiitd.ac.in'}.items()]\n"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'Hey jai'"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\"Hey %s\" % ('jai')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem** Make a function `render_tag(tagname, **attrs)` that returns a html tag as a string\n",
"\n",
" >>> render_tag(\"a\", href=\"http://iiitd.ac.in\", title=\"IIIT-D\")\n",
" '<a href=\"http://iiitd.ac.in\", title=\"IIIT-D\">'"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def render_tag(tagname, **attrs):\n",
" pairs = ['%s=\"%s\"' % (k,v) for k, v in attrs.items()]\n",
" pairs_str = \" \".join(pairs)\n",
" return \"<%s %s>\" % (tagname, pairs_str)\n"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'<a href=\"http://iiitd.ac.in\" title=\"IIIT-D\">'"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"render_tag(\"a\", href=\"http://iiitd.ac.in\", title=\"IIIT-D\")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Currying\n",
"def make_adder(x):\n",
" def add(y):\n",
" return x + y\n",
" return add"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"7"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"add5 = make_adder(5)\n",
"add5(2)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"13"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"add6 = make_adder(6)\n",
"add6(7)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"13"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"make_adder(8)(5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Decorators"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting trace0.py\n"
]
}
],
"source": [
"%%file trace0.py\n",
"\n",
"def trace(f):\n",
" def wrapper(*args):\n",
" print(f.__name__, args)\n",
" return f(*args)\n",
" return wrapper"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting sum.py\n"
]
}
],
"source": [
"%%file sum.py\n",
"\n",
"from trace0 import trace\n",
"\n",
"@trace\n",
"def square(x):\n",
" # print(\"square\", x)a\n",
" return x*x\n",
"\n",
"#square = trace(square)\n",
"\n",
"@trace\n",
"def sum_of_squares(x, y):\n",
" # print(\"sum_of_squares\", x, y)\n",
" return square(x) + square(y)\n",
"\n",
"#sum_of_squares = trace(sum_of_squares)\n",
"\n",
"print(sum_of_squares(3,4))"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"sum_of_squares (3, 4)\r\n",
"square (3,)\r\n",
"square (4,)\r\n",
"25\r\n"
]
}
],
"source": [
"!python sum.py"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting trace1.py\n"
]
}
],
"source": [
"%%file trace1.py\n",
"\n",
"level = 0\n",
"\n",
"def trace(f):\n",
" def wrapper(*args):\n",
" global level\n",
" print(\"| \" * level + \"|--\", f.__name__, args)\n",
" \n",
" level += 1\n",
" result = f(*args)\n",
" level -= 1\n",
" \n",
" return result\n",
" return wrapper"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting fibo.py\n"
]
}
],
"source": [
"%%file fibo.py\n",
"\n",
"from trace1 import trace\n",
"from memoize import memoize\n",
"\n",
"@trace\n",
"def fib(n):\n",
" if n==0 or n==1:\n",
" return 1\n",
" else:\n",
" return fib(n-1) + fib(n-2)\n",
" \n",
"print(fib(7))"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|-- fib (7,)\r\n",
"| |-- fib (6,)\r\n",
"| | |-- fib (5,)\r\n",
"| | | |-- fib (4,)\r\n",
"| | | | |-- fib (3,)\r\n",
"| | | | | |-- fib (2,)\r\n",
"| | | | | | |-- fib (1,)\r\n",
"| | | | | | |-- fib (0,)\r\n",
"| | | | | |-- fib (1,)\r\n",
"| | | | |-- fib (2,)\r\n",
"| | | | | |-- fib (1,)\r\n",
"| | | | | |-- fib (0,)\r\n",
"| | | |-- fib (3,)\r\n",
"| | | | |-- fib (2,)\r\n",
"| | | | | |-- fib (1,)\r\n",
"| | | | | |-- fib (0,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | |-- fib (4,)\r\n",
"| | | |-- fib (3,)\r\n",
"| | | | |-- fib (2,)\r\n",
"| | | | | |-- fib (1,)\r\n",
"| | | | | |-- fib (0,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | | |-- fib (2,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | | | |-- fib (0,)\r\n",
"| |-- fib (5,)\r\n",
"| | |-- fib (4,)\r\n",
"| | | |-- fib (3,)\r\n",
"| | | | |-- fib (2,)\r\n",
"| | | | | |-- fib (1,)\r\n",
"| | | | | |-- fib (0,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | | |-- fib (2,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | | | |-- fib (0,)\r\n",
"| | |-- fib (3,)\r\n",
"| | | |-- fib (2,)\r\n",
"| | | | |-- fib (1,)\r\n",
"| | | | |-- fib (0,)\r\n",
"| | | |-- fib (1,)\r\n",
"21\r\n"
]
}
],
"source": [
"!python fibo.py"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting memoize.py\n"
]
}
],
"source": [
"%%file memoize.py\n",
"\n",
"def memoize(f):\n",
" \n",
" cache = {}\n",
" \n",
" def wrapper(*args):\n",
" if args not in cache:\n",
" cache[args] = f(*args)\n",
" return cache[args]\n",
" return wrapper"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting fibo1.py\n"
]
}
],
"source": [
"%%file fibo1.py\n",
"\n",
"from trace1 import trace\n",
"from memoize import memoize\n",
"\n",
"@memoize\n",
"@trace\n",
"def fib(n):\n",
" if n==0 or n==1:\n",
" return 1\n",
" else:\n",
" return fib(n-1) + fib(n-2)\n",
" \n",
"print(fib(7))"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"|-- fib (7,)\r\n",
"| |-- fib (6,)\r\n",
"| | |-- fib (5,)\r\n",
"| | | |-- fib (4,)\r\n",
"| | | | |-- fib (3,)\r\n",
"| | | | | |-- fib (2,)\r\n",
"| | | | | | |-- fib (1,)\r\n",
"| | | | | | |-- fib (0,)\r\n",
"21\r\n"
]
}
],
"source": [
"!python fibo1.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Problem**\n",
"Write a function with_retries that continue to retry for 5 times if there is any exception raised in the function.\n",
"\n",
"```\n",
"@with_retries\n",
"def wget(url):\n",
" return urllib2.urlopen(url).read()\n",
" \n",
"wget(\"http://google.com/no-such-page\")\n",
"```\n",
"\n",
"Should print:\n",
"\n",
"```\n",
"Failed to download, retrying...\n",
"Failed to download, retrying...\n",
"Failed to download, retrying...\n",
"Failed to download, retrying...\n",
"Failed to download, retrying...\n",
"Giving up!\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting with_retries.py\n"
]
}
],
"source": [
"%%file with_retries.py\n",
"\n",
"import urllib.request\n",
"\n",
"def with_retries(f, num):\n",
" def wrapper(*args):\n",
" for i in range(num):\n",
" try:\n",
" return f(*args)\n",
" except:\n",
" print(\"Failed\")\n",
" print(\"Given up!\")\n",
" return wrapper\n",
"\n",
"#@with_retries\n",
"def wget(url):\n",
" return urllib.request.urlopen(url)\n",
"\n",
"wget = with_retries(wget, 7)\n",
"x = wget(\"http://google.com/pageisnonexistent\")"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Failed\n",
"Failed\n",
"Failed\n",
"Failed\n",
"Failed\n",
"Failed\n",
"Failed\n",
"Given up!\n"
]
}
],
"source": [
"!python with_retries.py"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting with_retries_adv.py\n"
]
}
],
"source": [
"%%file with_retries_adv.py\n",
"\n",
"def with_retries(num):\n",
" def decor(f):\n",
" def wrapper(*args):\n",
" for i in range(num):\n",
" try:\n",
" return f(*args)\n",
" except:\n",
" print(\"failed\")\n",
" print(\"given up!\")\n",
" return wrapper\n",
" return decor\n",
"\n",
"@with_retries(3)\n",
"def wget(url):\n",
" return urllib.request.urlopen(url)\n",
"\n",
"# wget = with_retries(3)(wget)\n",
"\n",
"x = wget(\"http://google.com/pageisnonexistent\")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"failed\r\n",
"failed\r\n",
"failed\r\n",
"given up!\r\n"
]
}
],
"source": [
"!python with_retries_adv.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Web framework - JUG (nano flask)"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting jug.py\n"
]
}
],
"source": [
"%%file jug.py\n",
"\n",
"mapping = []\n",
"\n",
"def route(path):\n",
" def decor(f):\n",
" mapping.append((path, f))\n",
" return decor\n",
"\n",
"def request(path):\n",
" for p, func in mapping:\n",
" if p == path:\n",
" return func()\n",
" return \"404\"\n",
"\n",
"def wsgifunc(env, start_response):\n",
" path = env['PATH_INFO']\n",
" start_response('200 OK', [(\"Content-Type\", \"text/plain\")])\n",
" return [request(path).encode('utf-8')]\n",
"\n",
"def run(port=8080):\n",
" from wsgiref.simple_server import make_server\n",
" server = make_server(\"0.0.0.0\", port, wsgifunc)\n",
" server.serve_forever()"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting hello.py\n"
]
}
],
"source": [
"%%file hello.py\n",
"\n",
"from jug import route\n",
"\n",
"@route('/hello')\n",
"def hello():\n",
" return \"Hello! :D\"\n",
"\n",
"@route('/bye')\n",
"def bye():\n",
" return \"Good bye!\"\n"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting client.py\n"
]
}
],
"source": [
"%%file client.py\n",
"import hello\n",
"from jug import request, run\n",
"import sys\n",
"\n",
"if \"--web\" in sys.argv:\n",
" run()\n",
"else:\n",
" print(request(\"/hello\"))\n",
" print(request(\"/bye\"))\n"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello! :D\r\n",
"Good bye!\r\n"
]
}
],
"source": [
"!python client.py"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"127.0.0.1 - - [28/Oct/2015 21:49:49] \"GET /hello HTTP/1.1\" 200 9\n",
"^CTraceback (most recent call last):\n",
" File \"client.py\", line 6, in <module>\n",
" run()\n",
" File \"/home/darkapex/decorators/jug.py\", line 23, in run\n",
" server.serve_forever()\n",
" File \"/usr/lib/python3.5/socketserver.py\", line 237, in serve_forever\n",
" ready = selector.select(poll_interval)\n",
" File \"/usr/lib/python3.5/selectors.py\", line 367, in select\n",
" fd_event_list = self._poll.poll(timeout)\n",
"KeyboardInterrupt\n",
"\n"
]
}
],
"source": [
"!python client.py --web "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.0"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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