Intro to Bottle

gistfile1.txt

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 "metadata": {
  "name": ""
 },
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 "nbformat_minor": 0,
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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Intro to Bottle - A Python Micro-Web Framework <br/>\n",
      "=====================================\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image \n",
      "Image(filename= 'Beerbottles.jpg') "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "jpeg": 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PeIvk5b7RT/AFHp0+Bm6Nx707S72m3B1enTlTsXHbP24dpVWZ2vuDI5Sh3M2R3Bic3S1O0MhkMV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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "<IPython.core.display.Image at 0x38e46d0>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Author**: Rory Creedon (rcreedon@poverty-action.org) <br />\n",
      "**Date**: May 2014  <br />\n",
      "**Purpose**: To assist in learning how to use the Bottle library for building micro-web applications.<br />\n",
      "Link to Associated Files: https://www.dropbox.com/sh/ecw5xfjplyopq4l/4EQcaLrx51 <br/>\n",
      "<br />\n",
      "**Disclaimer**: Much of this notebook is the result of direct plagiarism of bottle documentation and other resources. I do not pretend to be an expert on this topic, and this notebook was produced as much for my benefit as anyone else\u2019s. Thanks to the authors who's work made this possible. \n",
      "<br />\n",
      "\n",
      "This is the first in a series of notebooks that aims to give colleagues and others an introduction to building micro-web frameworks. The next tow notebooks in the series walk through the steps of creating a basic SQL backed web-application, and the final notebook presents all the code needed to build the application. \n",
      "\n",
      "Comments/Questions to the email address above\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Contents: <br/>\n",
      "+ Introduction<br/>\n",
      "<br/>\n",
      "+ Routing\n",
      "    + Single Route Application\n",
      "    + Multi Route Application\n",
      "    + Dynamic Routes \n",
      "    + Built-In Filters \n",
      "    + HTTP Request Methods\n",
      "    + Routing Static Files <br/>\n",
      "<br/>    \n",
      "+ HTML Form Handling<br/>\n",
      "<br/>\n",
      "+ Templates\n",
      "    +Intro to Templates \n",
      "    + `SimpleTemplate` Syntax"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Introduction <br/>\n",
      "#---------------------\n",
      "\n",
      "Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library. It was designed for prototyping and building small web applications and services. \n",
      "\n",
      "The author is exploring the use of micro web-frameworks in the context of creating applications for data collection tools in particualr. \n",
      "\n",
      "One huge plus of bottle is that as it does not depend on anything other than the python standard library, code can be executed on iOS devices through the Pythonista application. You can therefore build your own apps on your iPad! The use of a micro framework in this context provides the developer with the ability to create user interfaces and is particularly useful for forms and hence data collection. \n",
      "\n",
      "This notebook is based upon examples found in the bottle documentation, with additional explanations and extensions where appropriate. In the tutorial within the documentation, the authors import functions from bottle. I prefer to import the entire bottle library as 'bt' in order to maintain the convention of `bt.method` in the scripts, thereby clearly delineating between python standard library commands and bottle commands. Note that of course building micro-web applications involves writing HTML/Markdown and using HTTP protocols. This notebook does not go into the ins and outs of the writing this type of code and as such readers are ignore it or try to interpret it intuitively. Only the basic components of the library are covered. \n",
      "\n",
      "The notebook does not seek to recreate the documentation, so if certain concepts are unclear then make reference to the documentation as needs be. You can view the bottle documentation, view installation methods etc. from within this notebook by using the following embedded web page:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import HTML\n",
      "HTML('<iframe src=http://bottlepy.org/docs/dev/index.html?useformat=mobile width=1000 height=350></iframe>')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<iframe src=http://bottlepy.org/docs/dev/index.html?useformat=mobile width=1000 height=350></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "<IPython.core.display.HTML at 0x38e4610>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**Important** : Whilst it is possible to run the code directly from the notebook, it is more convenient to open an ipython console and run the code from there. This is because one the applications are linked to the browser it is not possible to uncouple them by pressing Ctrl-C if in the notebook, rather the kernel has to be interrupted, which can be tiresome. Launch an ipython terminal from the command line in the usual manner and paste code from this notebook into the terminal."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "---"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Routing<br />\n",
      "#------------\n",
      "Routing is the process of selecting paths in a network. In this context this means selecting paths (URLs) that direct the browser to code that is capable of being rendered as HTML within the browser. In other words it is the method of directing what you create behind the scenes to the final user browser interface."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Single Route Application\n",
      "The route 'decorator' (bottle function) binds a piece of code to a URL path. When that piece of code is a function, whenever a browser requests the URL the associated function is called and the return value is sent to the browser. Let's see an example:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import bottle as bt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/hello')\n",
      "def first():\n",
      "    return \"Hello World!\"\n",
      "\n",
      "bt.run(host='localhost', port=8080, debug=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/goodbye')\n",
      "def first():\n",
      "    return \"goodbye World!\"\n",
      "\n",
      "bt.run(host='localhost', port=8080, debug=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now paste the following URL into a new browser window and view your first micro-web page:\n",
      "\n",
      "http://localhost:8080/hello\n",
      "\n",
      "Notice that once you run the above cell, the Kernel remains busy (if you are executing from the notebook) or the terminal displays a message that it is listening to the localhost. This is because the interpreter is now 'listening' to the browser i.e. it is waiting for input or other user actions. In order to break the link between the kernel and the browser simply hit Crtl-C if you are using this code in a console, or if you are executing the commands in this notebook then click 'Kernel' - 'Interrupt Kernel'.\n",
      "\n",
      "The run function starts a built in development server that runs on localhost port 8080 and will serve the request until the kernel is interrupted. The debug option is useful when developing but should be turned off for deployment. \n",
      "\n",
      "Note also that the URL is bound to the function that appears immediately after the route decorator. This appears to be achieved by spatial proximity of the code rather than the fact that the function is named hello, and the URL contains the word hello. To satisfy yourself of this, change the name of the function and rerun.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "###Multi Route Application <br />\n",
      "The above application has only one route. This can be extended:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/')\n",
      "@bt.route('/hello/<name>')\n",
      "def greet(name='Stranger'):\n",
      "    return bt.template('Hello {{name}}, how are you?', name=name)\n",
      "\n",
      "bt.run(host='localhost', port=8080, debug=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This example demonstrates two important things:\n",
      "\n",
      "Firstly, more than one route can be bound to a single callback. In this case you can enter http://localhost:8080/ in your browser, or http://localhost:8080/hello/mark.\n",
      "\n",
      "Secondly, you can add wildcards to URLs and access them via keyword arguments. In this case the` <name>` portion of the URL is a wildcard, and so you can add any name you like to the URL. Try it for yourself.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br />"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Dynamic Routes <br />\n",
      "Routes that contain wildcards are *dynamic* routes as opposed to *static* routes. A wildcard is a name in angle brackets. They accept one or more characters up to the next slash (/). In the above example `<name>` accepts /hello/rory and /hello/niall but not hello/mr/creedon. \n",
      "\n",
      "Each wildcard passes the relevant part of the URL as a keyword argument to the associated function callback that is bound to the URL by the route decorator. Here are two more examples from the documentation which the URLs they would match (NB running the following cell will not result in any output or browser pages):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/wiki/<pagename>')            # matches /wiki/Learning_Python\n",
      "def show_wiki_page(pagename):\n",
      "    pass\n",
      "\n",
      "@bt.route('/<action>/<user>')            # matches /follow/defnull\n",
      "def user_api(action, user):\n",
      "    pass"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br />"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Built-In Filters <br />\n",
      "Filters can be used to define more specific wildcards, and also to transform the covered part of the URL before it is passed to the callback. The syntax for a such a filter is `<name:filter>`. The following filters exist by default:\n",
      "\n",
      "+ **:int** matches digits and converts the value to an integer\n",
      "+ **:float** as above but for floats\n",
      "+ **:path** matches all characters including the slash character in a non-greedy way. \n",
      "+ **:re** allows a custom regular expression in the config field (see below). The matched value is not modified. \n",
      "\n",
      "Let's look at a practical example. Suppose we wanted to create an application that returned the square of an integer:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/square/<integer:int>')\n",
      "def get_square(integer):\n",
      "    squares = integer*integer\n",
      "    return bt.template('The square of {{integer}} is {{squares}}?', squares = str(squares), integer =str(integer))\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now go to http://localhost:8080/square/9 and view the result. Try changing the integer. The integer part of the URL is passed as the argument to the function get_square as an integer object.\n",
      "\n",
      "Do not worry for now about the `template` function; this is explained toward the end of the notebook. \n",
      "\n",
      "The :re filter is useful when you want to bind a number of URLs to the same function callback. Suppose for example (a stupid example) that you want to bind a function to a URL when the URL contains a name (or other word) that contains at least one set of contiguous vowels. This can be achieved as follows\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/vowels/<name:re:.*[aeiou]{2}.*>')\n",
      "def vowels_in_name(name):\n",
      "    return bt.template('The entered name ({{name}}) contains two contiguous vowels', name = name)\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This will match the following URL fragments to the function vowels_in_name:\n",
      "\n",
      "+ aaron\n",
      "+ michael\n",
      "+ niall\n",
      "\n",
      "But it will not match the URL fragments:\n",
      "\n",
      "+ rory\n",
      "+ david\n",
      "+ hans\n",
      "\n",
      "Try it for yourself by modifying this URL: http://localhost:8080/vowels/michael\n",
      "\n",
      "Notice that the URL fragment is passed without modification to the function. \n",
      "\n",
      "The path filter will be examined below in the Routing Static Files section.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**NB** Custom filters can also be created. See the documentation for more information. "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br />"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "###HTTP Request Methods <br />\n",
      "HTTP protocol supports a number of methods that are designed for different tasks. The most common, and those supported by bottle are as follows:\n",
      "\n",
      "+ **GET** - The GET method is used to retrieve information from the given server using a given URL. Requests using GET should only retrieve data and should have no other effect on the data. <br />\n",
      "+ **POST** - A POST request is used to send data to the server, for example customer information, file upload etc using HTML forms.\n",
      "+ **PUT** - The PUT method replaces all current representations of the target resource with the uploaded content.\n",
      "+ **DELETE** - Remove all current representations of the target resource given by URI\n",
      "\n",
      "The method to be used can be specified in the decorator in one of two ways:\n",
      "\n",
      "    1. `@bt.route('/URL', method = 'POST')\n",
      "    2. `@bt.post\n",
      "\n",
      "If a method is not specified the default is GET\n",
      "\n",
      "Let's look at an example from the documentation"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import webbrowser as wb\n",
      "\n",
      "@bt.get('/login') # or @route('/login')\n",
      "def login():\n",
      "    return '''\n",
      "        <form action=\"/login\" method=\"post\">\n",
      "            Username: <input name=\"username\" type=\"text\" />\n",
      "            Password: <input name=\"password\" type=\"password\" />\n",
      "            <input value=\"Login\" type=\"submit\" />\n",
      "        </form>\n",
      "    '''\n",
      "\n",
      "@bt.post('/login') # or @route('/login', method='POST')\n",
      "def do_login():\n",
      "    username = bt.request.forms.get('username')\n",
      "    password = bt.request.forms.get('password')\n",
      "    if check_login(username, password):\n",
      "        return \"<p>Your login information was correct.</p>\"\n",
      "    else:\n",
      "        return \"<p>Login failed.</p>\"\n",
      "    \n",
      "def check_login(Username, Password, stored_username = 'Rory', stored_password = 'Creedon'):\n",
      "    return True if Username == stored_username and Password == stored_password else False\n",
      "\n",
      "wb.open('http://localhost:8080/login')\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The `/login` URL is bound to two distinct functions. The first one is a GET request that presents a form to the user. The second one is a POST request that is invoked upon form submission. A third function is written who's third and fourth arguments are the stored information that the user entries will be checked against. They are currently set to be equal to my name. You can play around with these. \n",
      "\n",
      "Notice that before the code I imported the webbrowser python module. The docs for this tiny module can be found here: http://docs.python.org/2/library/webbrowser.html. The effect of the `wb.open()` function is to open a new browser page with the URL named as the argument. \n",
      "\n",
      "The use of different request methods will be returned to in a separate notebook.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br />"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##Routing Static Files <br />\n",
      "Static files such as images or CSS files are not served automatically in that you have to add a route and callback to control which files get served and where to find them. \n",
      "\n",
      "In order to achieve the routing of static files we need to use the `static_file()` function within the body of the function which is bonded to the route decorator. An example follows which routes a static file from my directory. In order for you to use this, you will need to change the file path and obviously make sure that you have a .jpg file in the stated folder.\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/static/<filename>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static')\n",
      "\n",
      "wb.open('http://localhost:8080/static/stata.jpg')\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "An Internet media 'mime' is a standard identifier used on the Internet to indicate the type of data that a file contains. the `static_file()` function guesses a mime type. If the mime type is known and assigned to an application then the file will open in the browser as the mime type tells the browser how to read the file if it is not in HTML. If the mime type is unknown, then the file will download. \n",
      "\n",
      "Having experimented with routing a static png file it seems that bottle does not guess .png as the mimetype, and hence it will download the file being routed. I have a file called 'png_image.png' in my static folder. When I run the above code by accessing http://localhost:8080/static/png_image.png, the file does not display but rather is downloaded. This might be what you want, but if it is not then you can specify the mimetype within the `static_file()` function as follows:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/static_nodownload/<filename>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static', mimetype = 'image/png')\n",
      "\n",
      "wb.open('http://localhost:8080/static_nodownload/png_image.png')\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A list of mime types can be found here: http://en.wikipedia.org/wiki/Internet_media_type#Type_image"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Using the regular expression filter can help you match any link to an image or file in the directory (provided of course that it exists). This can be achieved as follows: "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/image/<filename:re:.*.jpg>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static')\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This allows me to route both a jpeg called 'stata.jpeg' and 'Untitled.jpg' from the same url:\n",
      "\n",
      "+ http://localhost:8080/image/stata.jpg\n",
      "+ http://localhost:8080/image/Untitiled.jpg"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The <filename> wildcard won't match a path with a slash (/) in it. This means that for routing an image or file within a sub-folder it is not possible to pass sub_folder/image.jpg as the filename. To serve files in subdirectories, change the wildcard to use the :path filter. \n",
      "\n",
      "So if within my folder static I have a folder called sub_folder, and within that folder there is an image called pandas.jpg then I need to do the following in order to route that image to the application:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/sub_image/<path:sub_folder/pandas.jpg>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static')\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The URL for this image then becomes: http://localhost:8080/image/sub_folder/pandas.jpg.\n",
      "\n",
      "Routing static files seems like it could be incredibly useful, particularly as you can route many types of files to the browser. For example you could route the documentation of your application to the user. In my static folder I have moved a copy of the bottle documentation called 'bottle-cods.pdf'. This is then routed as follows (specifying mime type):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/docs/<filename:re:.*.pdf>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static', mimetype = 'application/pdf')\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This is accessed as follows: http://localhost:8080/docs/bottle-docs.pdf"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br/>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "###Error Pages and Redirects<br/>\n",
      "As you may have already discovered if you entered an filename that did not exist in the above examples, error messages are generated when something goes wrong. The default message can be overridden with the `error()` decorator. This is fairly self-explanatory, but see the following example:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.error(404)\n",
      "def error404(error):\n",
      "    return 'That does not match a filename numb nuts! Please try again...'\n",
      "\n",
      "@bt.route('/sub_images/<path:sub_folder/pandas.jpg>')\n",
      "def server_static(filename):\n",
      "    return bt.static_file(filename, root = r'C:\\Users\\rcreedon\\static')\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now when I navigate to http://localhost:8080/image/sub_folder/frogs.jpg I no longer see the big error message, but a rather rude message generated by me. From henceforth any 404 errors will display the custom message.\n",
      "\n",
      "Another type of error message can be generated if the user tries to navigate to a URL to which he does not have access. In such a case it is not necessarily an error (as the URL may in fact be bound to a callback function), but access has been restricted for certain users. In this case the `abort()` function is useful as it raises an error. To see this function at work see the following example:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/restricted')\n",
      "def restricted():\n",
      "    bt.abort(404, \"Sorry, access denied.\")\n",
      "wb.open('http://localhost:8080/restricted')\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "One snag seems to be that if you have created a custom Error 404 message, and you call abort with 404 as an argument, the message displayed is that of the custom error rather than the error message provided as the second argument to the abort function. Try it for yourself by entering 404 in place of 401 above. \n",
      "\n",
      "In order to redirect a client to a different URL use the `redirect()` function specifying the URL to be redirected to as the first argument as follows:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/wrong/url')\n",
      "def wrong():\n",
      "    bt.redirect('/right/url')\n",
      "\n",
      "@bt.route('/right/url')\n",
      "def right():\n",
      "    return \"<p>That's more like it; get it right!<p>\" \n",
      "    \n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "---"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#HTML Form Handling <br/>\n",
      "#--------------------------------\n",
      "In HTML a typical form looks like this:\n",
      "\n",
      "        `<form action=\"/login\" method=\"post\">\n",
      "        Username: <input name=\"username\" type=\"text\" />\n",
      "        Password: <input name=\"password\" type=\"password\" />\n",
      "        <input value=\"Login\" type=\"submit\" />\n",
      "        </form>`"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In the above:\n",
      "\n",
      "+ **action** - specifies the URL that will receive the form data\n",
      "+ **method** - defines the HTTP method to use (GET or POST). This should always be post for reasons that are outside the scope of this notebook. \n",
      "\n",
      "The fields transmitted via POST are stored in `BaseRequest.forms` as a `FormsDict`. This will be explained after the initial example.\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/login_again', method = 'GET')\n",
      "def login_again():\n",
      "    return '''\n",
      "        <form action=\"/login\" method=\"post\">\n",
      "            Username: <input name=\"username\" type=\"text\" /><br/>\n",
      "            Password: <input name=\"password\" type=\"password\" /><br/>\n",
      "            <input value=\"Login\" type=\"submit\" />\n",
      "        </form>\n",
      "    '''\n",
      "\n",
      "@bt.route('/login', method='POST')\n",
      "def do_login_again():\n",
      "    username = bt.request.forms.get('username')\n",
      "    password = bt.request.forms['password']\n",
      "    if check_login(username, password):\n",
      "        return \"<p>Your login information was correct.</p>\"\n",
      "    else:\n",
      "        return \"<p>Login failed.</p>\"\n",
      "    \n",
      "def check_login(Username, Password, stored_username = 'Rory', stored_password = 'Creedon'):\n",
      "    return True if Username == stored_username and Password == stored_password else False\n",
      "\n",
      "wb.open('http://localhost:8080/login_again')\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The `login_again()` function returns the HTML form. For now just note that `input` creates an input field, and `type` determines what type of data will be received by that field.\n",
      "\n",
      "The `do_login_again()` function creates variables for `username` and `password` by accessing the attributes of the FormsDict. This is achieved by requesting the information: `bt.request.forms.get('username')`. It is clear that the attribute accessed is written in the same way that the input is named in the HTML form (so notice 'username' in both functions). \n",
      "\n",
      "The information is then checked in the now familiar way. \n",
      "\n",
      "**FormsDicts** - Bottle uses a special kind of dictionary to store from data and cookies. First and foremost it behaves like a regular dictionary, but it has some additional features:\n",
      "\n",
      "Firstly the values in the dictionary are accessible in the normal way (above `password = bt.request.forms['password']`, but they are also accessible as attributes (above `username = bt.request.forms.get('username')`).\n",
      "\n",
      "Secondly, the FormsDict can store more than one value per key. Standard dictionary access methods as well as the `.get()` method will only return a single value, but the `.getall()` method returns a (possibly empty) list of all the values for a specific key.\n",
      "\n",
      "Forms are likely to be extremely important for the work I am undertaking, and as such the topic of forms will be returned to in later notebooks.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "---"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "#Templates<br/>\n",
      "#----------------\n",
      "##Intro to Templates <br />\n",
      "Templates are files that are written predominantly in a mixture of HTML, markdown and python (in the case of bottle applications anyway). They determine the appearance of the micro-web application. The template files are saved with a .tpl extension, and the file can be called inside functions. In order to be used the template files need to be saved in the same directory where the .py application file is kept. \n",
      "\n",
      "Variables can be set in the template and then 'rendered' by the application. The template engine that bottle uses is called the Simple Template Engine. To render a template use the `template()` function. All that needs to be provided are the names of the template to be rendered and the variables to be passed to the template as keyword arguments. \n",
      "\n",
      "Let's look at an example. \n",
      "\n",
      "Create a .tpl file called hello_world.tpl (using a text editor such as notepadd++) and copy the following template script into the file (**NB** all files associated with this notebook can be found by following the dropbox link at the top of the notebook): \n",
      "\n",
      "    %if name == 'World':\n",
      "        <h1>Hello {{name}}!</h1>\n",
      "        <p>This is a test.</p>\n",
      "    %else:\n",
      "        <h1>Hello {{name.title()}}!</h1>\n",
      "        <p>How are you?</p>\n",
      "    %end\n",
      "    \n",
      "Now in the ipython terminal that you are using, change the current working directory to the location that contains the hello_world.tpl file. If you are are unsure how to do this then do the following in the ipython terminal:\n",
      "\n",
      "    import os\n",
      "    os.chdir(r'path/to/tpl/file/here')\n",
      "\n",
      "Now in your ipython terminal paste the following code:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/hello_template')\n",
      "@bt.route('/hello_template/<name>')\n",
      "def hello_render(name = 'World'):\n",
      "    return bt.template('hello_world', name = name)\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)                  "
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now visit:<br/>\n",
      "http://localhost:8080/hello_template <br/>\n",
      "http://localhost:8080/hello_template/rory\n",
      "\n",
      "This code loads the hello_word.tpl. Notice that that the .tpl file makes use of a variable called `name`, and the value of this variable is given as an argument to the `template()` function when called. Thus the template is rendered with the `name` variable set. For the sake of completeness it should be noted that the `view()` decorator allows you to return a dictionary with the template variables instead of calling template. In the current example this would look as follows:\n",
      "\n",
      "    @bt.route('/hello')\n",
      "    @bt.route('/hello/<name>')\n",
      "    @bt.view('hello_template')\n",
      "    def hello(name='World'):\n",
      "        return dict(name=name)\n",
      "\n",
      "Note that templates can be created on the fly as it were from within the `template()` function. This has already been seen in the 'Built-in Filters' example (above). In fact this is worth a little more explanation. The `template()` function is a helper function in that it provides a shortcut to the user that means that the 'compiling' of a template and the 'rendering' can be done in the same step. However, it is worth bearing in mind that these two actions are different. Think of compiling the template as creating it, and rendering it as filling in the variables with values. An example of using the `template()` function to both compile and render a template on the fly follows:\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bt.template('Hello {{name}}!', name='World')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<br/>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##`SimpleTemplate` Syntax<br/>\n",
      "There are special things to note when writing templates. In particular, when you write python code in your templates some of the restrictions around whitespace and indentation are relaxed in order to ensure your template is readable by others.\n",
      "<br/>\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "###Inline Expressions\n",
      "We are already familiar with the `{{...}}` syntax from the above example. However, an extension of this is that any python expression is allowed within the curly brackets so long as it evaluates to a string or something that has a string representation. Try the following commands in your ipython terminal or execute directly within the notebook:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bt.template('Hello {{name}}!', name='World')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bt.template('Hello {{name.title() if name else \"stranger\"}}!', name=None)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "bt.template('Hello {{name.title() if name else \"stranger\"}}!', name='mArC')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "###Embedded Python Code <br/>\n",
      "The template engine allows you to embed lines or blocks of python code within the template. Code lines begin with `%` and code blocks are surrounded by `<%` and `%>` tokens. Embedded code follows the usual python rules but with the following additions:\n",
      "\n",
      "+ Indentation is ignored. This allows you to align the code with the surrounding markup to imporve readability\n",
      "+ Blocks that would normally be indented not have to be explicitly closed with and `end` keyword. \n",
      "\n",
      "Note that the `%` and `<%` tokens are only recognized if they are the first non-whitespace characters in a line. \n",
      "\n",
      "Note also that python libraries can be imported directly by the template. \n",
      "\n",
      "Lets look at a simple example of how this might be used. Suppose for example we wanted to create a table that can be dynamically created (in terms of structure) by the application. One way to do this would be to create a URL that tells the template how many rows and columns to include in the rendered table. Either download the table.tpl file, or create a template file in your working directory with the following code:\n",
      "\n",
      "    %#template to generate a HTML table from a URL\n",
      "    <p>Your table looks as follows:</p>\n",
      "    <table border=\"1\">\n",
      "    %for row in xrange(int(rows)):\n",
      "      <tr>\n",
      "      %for col in xrange(int(cols)):\n",
      "        <td>{{col}}</td>\n",
      "      %end\n",
      "      </tr>\n",
      "    %end\n",
      "    </table>\n",
      "    <br/>\n",
      "    <p>Your table has {{rows}} rows and {{cols}} columns<p>\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@bt.route('/table/<rows:int>/<cols:int>')\n",
      "def table_render(rows = int(), cols = int()):\n",
      "    return bt.template('table', rows = rows, cols = cols)\n",
      "\n",
      "bt.run(host = 'localhost', port = 8080, debug = True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Navigate to http://localhost:8080/table/10/9 <br/>\n",
      "You should see a rendered template that looks like this:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image('Table Template Rendered.jpg')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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X11FZO1+m35floeS337A3wK1Pxje+Irn4K/CW48Qanqia3eanL4Q097y7v0dnS7klMO95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       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<IPython.core.display.Image at 0x38e4630>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Look for a moment at the template script. Notice the use of `%` and the `%end` tokens as described. The template takes the variables `rows` and `cols` and uses them to create an HTML table using for loops ina familiar manner. I do not seek to explain the HTML syntax, this should be researched elsewhere if unfamiliar. \n",
      "\n",
      "As noted above the final line of the template accesses variables within a non-python code line and hence the variables are encased in double curly braces. \n",
      "\n",
      "There are built in template functions available to the user, but these are for more advanced usage. See the documentation if desired.\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "---"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "##End Note\n",
      "It seems to me that the bottle library has real potential to be useful for creating applications particularly as regards data collection tools. This notebook serves as an introduction to some of the techniques. See the following notebooks in this series for a look at creating a basic SQL backed web-application. "
     ]
    }
   ],
   "metadata": {}
  }
 ]
}