Skip to content

Jessie-Newman/personfinder

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Person Finder

Person Finder is a searchable missing person database written in Python and hosted on App Engine.

Person Finder implements the PFIF data model and provides PFIF import and export as well as PFIF Atom feeds. It was initially created by Google volunteers in response to the Haiti earthquake in January 2010, and today contains contributions from many volunteers inside and outside of Google. It was used again for the earthquakes in Chile, Yushu, and Japan, and now runs at http://google.org/personfinder/.

How to Contribute

The following steps are for Person Finder team members. Fork and send pull request in the standard way if you are not a team member.

  1. Set up the developement environment.
  2. Set up your Git client. Make sure to set your name and email.
    https://help.github.com/articles/set-up-git/
  3. Install hub commandline tool.
    https://github.com/github/hub
  4. Clone the PF repository.
    $ git clone https://github.com/google/personfinder.git pf
  5. Find an issue to work on, or create a new one.
    https://github.com/google/personfinder/issues
  6. Create a new branch, prefixed with your username.
    $ git checkout -b $USER-your-new-feature
  7. Make changes and commit. Repeat the step until you are ready for code review.
    $ git commit
  8. Push your local changes to the remote repository.
    $ git push -u origin $USER-your-new-feature
  9. Create a new pull request. (-i is optional, but strongly encouraged.)
    $ hub pull-request -i <issue #>
  10. The pull request will be reviewed by one of the code reviewers (*) and merged to the master branch after addressing reviewer's comments. (ichikawa@google.com or ryok@google.com as of 2015/01/30).

About

Person Finder is a searchable missing person database written in Python and hosted on App Engine.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 98.9%
  • Other 1.1%