There are several options for installing MapIt. The rest of this page describes how to do this manually, for people who are used to setting up web applications, but there are two other options that may be easier:
If you prefer to set up each required component of MapIt yourself, proceed with the instructions below.
MapIt currently uses Postgres/PostGIS as its database backend – there’s no reason why e.g. SpatiaLite could not be used successfully, but it has never been tried.
To install GeoDjango and PostGIS, please follow all the standard instructions (including creating the template) over on the Django site at docs.djangoproject.com. And anything else you need to set up Django as normal.
[ Note for UK/Ireland: Not only is the PostGIS that is installed missing SRID 900913, as the GeoDjango docs tell you, but both SRID 27700 (British National Grid) and SRID 29902 (Irish National Grid) can be incorrect (and they’re quite important for this application!). After you’ve installed and got a PostGIS template, log in to it and update the proj4text column of SRID 27700 to include +datum=OSGB36, and update SRID 29902 to have +datum=ire65. This may not be necessary, depending on your version of PostGIS, but do check. ]
You will also need a couple of other Debian packages, so install them:
sudo apt-get install python-yaml memcached python-memcache git-core
You will also need to be using South to manage schema migrations.
Installation as a Django app
As mapit is a Django app, if you are making a GeoDjango project you can simply use mapit from within your project like any normal Django app:
- Make sure it is on
sys.path(a packaged install e.g. with
pip install django-mapitdoes this for you);
Add the following settings to
MAPIT_AREA_SRID– the SRID of your area data (if in doubt, set to
MAPIT_COUNTRY– used to supply country specific functions (such as postcode validation). If you look at the country files in
mapit/countries/you can see how to add specialised country-specific functions.
MAPIT_RATE_LIMIT– a list of IP addresses or User Agents excluded from rate limiting
- Set up a path in your main
urls.pyto point at
./manage.py migrateto ensure the db is set up
Installation standalone with the example project
A standard git clone will get you the repository:
git clone git://github.com/mysociety/mapit.git
Now in a terminal, navigate to the mapit directory you’ve just cloned.
conf/general.yml and edit it to point
to your local postgresql database, and edit the other settings as per the
documentation given in that file. If you don’t know what
SRID to use,
delete that line or set it to
COUNTRY is used for e.g. differing
sorts of postcode (zipcode) validation – if you look at the country files in
mapit/countries/ you can see how to add specialised country-specific
functions to validate postcodes etc.
If you’re going to be importing big datasets, make sure that
False; otherwise, you’ll run out of memory as it tries to remember all the
SQL queries made.
Optionally, also turn off
escape_string_warning in Postgres’ config (unless
you want your server to run out of disc space logging all the errors, as ours
did the first time I imported overnight and didn’t realise).
At this stage, you should be able to set up the database and run the development server. Do add an admin user when prompted:
# Set up a virtual environment and install requirements virtualenv .venv source .venv/bin/activate pip install -r requirements.txt # generate the css from the sass bin/mapit_make_css # Setup django install ./manage.py syncdb ./manage.py migrate mapit ./manage.py collectstatic # run dev server ./manage.py runserver
(Alternatively, set up a live web server however you wish – see the Deployment Django documentation for details beyond the scope of this document.)
This is enough to have a working site. You can create areas and postcodes using the admin interface and they will automatically work in the API-based front end.
However, if you have some bulk data you wish to import (which will make setup easier), you will need to import this data into MapIt. Now see the section on importing data.