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traceMySteps - back-end

A visualization that allows users to understand and analyze their spatio-temporal information, with focus on personal semantics.

Python development of the back-end for traceMySteps. Connects with AngularJS front-end also provided in another repository.

TODO List:

1) Test data insertion on the DB.

2) Test querying.

3) Parsing and batch load of multiple GPX files into DB.

4) Complete app.py with the front-end required resources/routes and queries, having in mind the JSON formats needed on the frontend.

Minor bugs:

Steps to run:

  1. Install Postgresql and Postgis:
brew install postgres
brew install postgis

  1. If that’s a fresh installation, initialize database cluster: initdb /usr/local/var/postgres

  2. Configure PATH environment variable (if needed):

export PATH=$PATH:'/usr/local/var/postgres'
export PGDATA='/usr/local/var/postgres'

  1. Start Postgresql server: pg_ctl start

  2. Check status: pg_ctl status

  3. Enter postgres default database at start, to run schema to create our database:

psql postgres
\i PATH_TO/schema.sql

  1. To quit the created tracemysteps DB: \q

  2. To re-access the tracemysteps DB: psql tracemysteps

While on the project folder:

  1. Make sure to have a MyTracks.life file, containing the semantic information about your trips and stays.

  2. Also make sure to have a MyTracksfolder, containing all your .gpxfiles.

  3. Run the Ramer–Douglas–Peucker algorithm in order to simplify dataset: python process_gpx.py

  4. Run the parse_load.pyfile in order to populate the database: python parse_load.py

  5. Run the app (click "Allow" when prompted): python app.py

  6. Stop server: pg_ctl stop

I strongly advise the use of the pgAdmin3 tool as a visual aid and complement to the shell commands. This Readme will be updated, whenever possible, with the progress on the development and with new instructions.

Dependencies

Available on setup.py