AnnualDataSummary: Difference between revisions

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They also include a couple of updates from DAJ advised by posts in the Forum.
They also include a couple of updates from DAJ advised by posts in the Forum.
The files include additional notes and explanations on the changes where relevant.
The files include additional notes and explanations on the changes where relevant.
A working example is here [http://silveracorn.co.nz/weather/datasummary.php]
A working example is [http://silveracorn.co.nz/weather/datasummary.php here]
*download the follwing file...[http://wiki.sandaysoft.com/files/AnnualDataSummary_12.zip AnnualDataSummary_12.zip]
*download the follwing file...[http://wiki.sandaysoft.com/files/AnnualDataSummary_12.zip AnnualDataSummary_12.zip]
*Follow the instructions below for the PHP version.  
*Follow the instructions below for the PHP version.  

Revision as of 11:12, 16 December 2012

Name: Annual Data Summary
Type: HTML & Javascript
Author: David Jamieson
Contact: DAJ
Last update: 7 March 2011
Version: 1.1

'Annual Data Summary' is a small tool to read the dayfile.txt produced by Cumulus and summarise this in a table showing a full years worth of data. This tool uses standard HTML and Javascript so does not require a webserver with PHP services enabled. (many of the free hosting services do not offer PHP so this was a solution to that problem). However, a PHP version is included so you have the option to use either. Both provide identical data and functionality, however if you have PHP services on your web server use the PHP version as it is slightly faster.

An working example is here

Requirements

  • webserver space
  • Cumulus Dayfile.txt file uploaded to the webserver
  • Javascript enabled browser (all modern browsers use Javascript)
  • optionally, a tool to automate the uploading of dayfile.txt to your webserver once per day. Example, CumulusToolbox
  • optionally, PHP enabled web server if you wish to use the PHP version

The Basics

Here is a revised set of files (PHP only) ver 1.2 These are available here and update the Ver 1.1 fileset below to eliminate errors in validation due to deprecated code routines. They also include a couple of updates from DAJ advised by posts in the Forum. The files include additional notes and explanations on the changes where relevant. A working example is here

Original Fileset and instructions:-

  • download the following file...AnnualDataSummary.zip
  • Unzip the contents (five files will be extracted)
  • Edit the file 'readDayfile' file in a a good text editor (for example, notepad++). Edit the .js version or the .php depending on your choice
  • Look for the line 'dayfile='/data/dayfile.txt';' around line 15 and change this to point to your dayfile.txt on your webserver. This path should start from the / (root)
  • Copy the necessary files to your web site into a subfolder, or the root -- your choice
if using the PHP version copy datasummary.php and readDayfile.php
for the Javascript version copy datasummary.html and readDafyfile.js
  • Copy datasummary.css
  • open datasummary.html or datasummary.php from your website in a browser

Usage

Along the top will be a menu of the six data sets available and on the top left of the table is the year currently being shown. Change either the year, or click one of the top buttons to change the dataset. Depending on the speed of your internet connection, and your browser, the data may take a few seconds to be processed.

If you select the pure Javascript solution available here, it means the page viewer's browser is doing all the work. The complete dayfile.txt is loaded each time you select a dataset, and your PC then filters and processes it. An alternative Javascript/jQuery solution that only reads the dayfile.txt once, however many times you choose a different data set or a different year is in the 3rd party tools forum. That alternative is thus considerably faster, especially with large dayfile.txt files.

This is in contrast to a PHP solution also available here, where the source server does all the work and only sends the results to the viewer's browser.

Possible problems

  • This has been tested and runs on IE 7, IE 8, IE9, FireFox 3 to 14, Chrome/Dragon/SRWare Iron, and Safari -- running on the non IE browsers for both Windows and the Mac.
  • IE7 is notoriously slow for Javascript processing so there will be a longer delay as you change the data set (a few more seconds in some cases)

Customisation

Understanding the Basics

The 'tool' relies on two files for successful operation.... datasummary.css (the style sheet) and readDayfile.js (the Javascript) or readDayfile.php (the PHP version). The third file, datasummary.html/php, is simply a carrier page to show the data.

If you wish to use your own page to show the data on, do the following:

  • for the JS version
In the <HEAD> section.....
<link rel="stylesheet" type="text/css" media="screen" href="datasummary.css"  /> 
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.5.1/jquery.js" type="text/javascript"></script>
<script src="readDayfile.js" type="text/javascript"></script>
This loads the stylesheet; loads a jQuery library from Google servers (rather than having the file on your server); and loads the Javascript to build the table
Once the page is loaded it runs readDayfile.js and will look for a DIV called 'tableData'; inserting the data table within it. You can change the DIV it inserts into (see later in this article).
  • for the PHP version
use the code
<?php include('readDayfile.php');?>

Please note that the table needs a good amount of space to show a full year of data (at least 900 pixels unless you start reducing the font size!)


Configuration Variables

by default, the script will do the following:

  • Insert it's contents into a DIV called 'tableData' (JS version only)
  • Assumes the date format in the dayfile is dd/mm/yy
  • Assumes the data in the dayfile is separated with a comma

The last two assumptions are fine for UK based systems, however others should check the dayfile.txt and adjust as necessary

If you need to adjust any of these settings, edit the readDayfile.js file and consider the variables in the top section of the script:

  • tableDiv - the name of the DIV on your webpage to insert the table into (JS Version only)
  • field_delimiter - the symbol separating each of your fields in the dayfile.txt. For most people this is a comma but may also be a period (.)
  • date_delimiter - the symbol separating your date format. In the UK this is / however in other countires it may be -

Change as needed, save and test

Localization / Language

The script has been designed to be easily translated to your language of choice.

As above, edit the readDayfile.js / .php

  • variable mn is a list of the 12 months of the year, in an abbreviated format. You may change these as necessary, but try to keep it to an abbreviation as there is limited space.
  • 'label_items' is a list of all possible data sets to be displayed. Again you can change these to suit. However, the format is a little more involved and you should take some care. Example,....
['maxtemp','Max Temp','Maximum Temperature',true]
  • The first element, in this case 'maxtemp' -- must remain unchanged, this is a system variable to identify the dataset and tested elsewhere in the code
  • Second, Max Temp is the text to be displayed in the button at the top of the table. You may change this to your own language
  • Third, Maximum Temperature is the text shown at the top of the table to describe the current data set; again you may change this
  • Finally, 'true' will display this button at the top; 'false' will hide it. Therefore, if you do not wish to allow users to jump to the 'Rainfall dataset' change the 'true' to 'false' in the 'rainfall' element of the variable. (true/false MUST be lowercase)


Opening a specific data set

By default the table will summaries the maximum temperature for the current year, however you can start with any dataset or year (assuming you have the data in the dayfile.txt) but adding a string to the end of your URL in the browser. examples....,

  • JS version --myserver.com/datasummary.html?year=2010
  • PHP version -- myserver.com/datasummary.php?year=2010
This will open the data set initially showing year 2010


  • myserver.com/datasummary.html?data=rainfall&year=2009
This will open the rainfall dataset for the year 2009.

The parameter 'data' takes mintemp, maxtemp, avgtemp, minmaxt, rainfall, windgust. You can supply both parameters, one only, or none

Styling

The table styling is completely configurable using the included datasummary.css Stylesheet. By default it is using similar colours to the standard Cumulus website. Below are a few of the key entries to consider when adjusting settings (typically colouring)...

In the 'datasummary.css' file:

CSS Element Description
#table_container .highlight Used to highlight the mouse position within the table, and also the row and column header of the data cell.
#table_container .smallfont Adjusting the font size to something smaller when showing both Max & Min temp on one data cell
#table_container .zerovalue In the Rainfall and Windgust datasets this style is applied to any values of 0. By default, the colour is set to a lighter grey but you could add 'dispaly:none;' to hide zero values completely
#table_container table th Colouring for the top header (Month names) and left header (day numbers)
#table_container table td,table th The width of each data cell in the table. Be careful adjusting this as making it too small will stop the data being displayed completely
#table_menu li The styling for the buttons at the top of the page (those for changing the data set)
#table_container Set the overall font size and style used in the table, as well as the text colour; table positioning and maximum width


Version Control

1.1 PHP version included

1.0 Public launch


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