cgimodel: CGI Programming Made Easy with Python
Assume you already have this module:
#!/usr/bin/env python # testmethod.py def Method1(name1,name2,name3): print name1,name2,name3 if __name__ == '__main__': Method1('one','two','three')
Edit the cgidisp.py module, inserting the following method under the class Dispatcher:
def cmd_TestMeth(self,parDict): import testmethod name1 = parDict['name1'] name2 = parDict['name2'] name3 = parDict['name3'] testmethod.Method1(name1,name2,name3)Now it is ready! You can call this on the command line by typing on one line:
cgimodel.py -fun TestMeth -name1 one -name2 two -name3 threeor by URL (all on one line):
cgimodel.py?-fun=TestMeth&name1=one&name2=two&name3=threeor by FORMS:
<FORM METHOD="post" ACTION="/cgi-bin/cgimodel.py"> <INPUT TYPE=hidden name=fun value=TestMeth> <INPUT TYPE=hidden name=name1 value=one> <INPUT TYPE=hidden name=name2 value=two> <INPUT TYPE=hidden name=name3 value=three> <INPUT TYPE=SUBMIT VALUE="Run"> </FORM>It would be much better if you could separate HTML text from CGI modules, so that CGI looks thinner and more readable. You can use the template modules (see Resources) to do this. The template module keeps the text away from the CGI and has a page-paragraph structure. Each CGI call can be associated with a page, and each paragraph can be used to set up the view of your HTML page.
cgimodel can host any number of applications. The redundancy of writing a CGI front end is no longer necessary. Since many applications can be run by a single cgimodel, logging information particular to each application can be done for later analysis to improve server performance, stability of each application, better service, etc. Currently, this can be done with the log information generated by the web server.
With cgimodel.py, cgidisp.py and possibly the template.py modules, you should find writing and testing CGI programs easier.
Christine Gemuend has a degree in computer science. She is interested in parallel computers and database systems, and is working in the area of informatics.
- Android Browser Security--What You Haven't Been Told
- Epiq Solutions' Sidekiq M.2
- Readers' Choice Awards 2013
- Nativ Disc
- The Many Paths to a Solution
- Synopsys' Coverity
- RPi-Powered pi-topCEED Makes the Case as a Low-Cost Modular Learning Desktop
- Securing the Programmer
- Identity: Our Last Stand
- Download "Linux Management with Red Hat Satellite: Measuring Business Impact and ROI"
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide