Lidea

Ideas for space in this forsaken world around us. Very narcissistic in nature.

Implementations

Includes an auto suggest integerated with osm maps. Convert the osm map to django models level.

Set up the postgresql for 'OSM'

1. Install the postgresql-9.1:

   sudo apt-get install postgresql-9.1-postgis postgresql-contrib-9.1
   

2. Create a database named osm:

   sudo -u postgres
   

3. Run the commands for setting up the geometric function in postgresql:

   psql -h HOST -U USERNAME -d DATABASE -f /usr/share/postgresql/9.1/contrib/postgis-1.5/postgis.sql
   psql -h HOST -U USERNAME -d DATABASE -f /usr/share/postgresql/9.1/contrib/postgis-1.5/spatial_ref_sys.sql
   

4. Install osm2pgsql.

5. Run the command to transfer data from the osm file to postgresql database:

   http://svn.openstreetmap.org/applications/utils/export/osm2pgsql/default.style
   Sample OSM_FILE: http://metro.teczno.com/#new-delhi
   
   osm2pgsql -l -p osm -d DATABASE -U USERNAE -H Host -W OSM_FILE
   

6. Install postgresql_psycopg2:

   sudo apt-get install python-psycopg2
   

Set up the mysql for 'idea'

1. Run the command for creating the mysql databases:

   python manage.py syncdb
   

2. Fill the with content from the osm, by the command:

   python places/filler.py
   

Set up the redis for auto suggest

1. Install the redis.

2. Install the redis-py.

3. Run the command to fill the redis with prefixes:

   python suggest/filler.py
   

Set up the crawler for app 'event'

1. Install the webkit-server.
2. Install the dryscrape.