Frameworks/Libraris used:
- Flask (web framework)
- SQLAlchemy+GeoAlchemy (postgres/postgis library)
- Numpy+Scipy (Math library)
- Shapely (Spatial library)
- Postgres+Postgis (relational database with spatial support)
First you have to install postgres with postgis. Afterwards start it and create a user and a database for our project:
$ sudo su postgres
$ createuser -D -P -s -R foo232
$ createdb -O foo232 foo23
Download the source, create a new virtualenv and install dependencies like frameworks and libaries (you always need to activate your environment). It's better if you install numpy via your distribution package manager:
$ git clone [email protected]:cholin/spatial.git
$ cd spatial
$ virtualenv2 env
$ . env/bin/activate # activate virtual environment
$ pip install -r requirements.txt
Configure database credentials
$ cat config.cfg.dist > config.cfg
$ vim config.cfg # set credentials for SQLALCHEMY
Create database and import data from DWD (see README)
$ python2 manage.py resetdb
$ python2 manage.py import_weather # imports all recent dwd data
$ python2 manage.py import_forecast 2015-01-01 # import forecasts from
# 01.01.2015 until now
Start webserver
$ python2 manage.py runserver
$ firefox http://localhost:5000
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