Source: python-stetl Maintainer: Debian GIS Project Uploaders: Bas Couwenberg Section: science Priority: optional Build-Depends: debhelper (>= 9), dh-python, pylint, python-all, python-cov-core, python-flake8, python-gdal, python-jinja2, python-lxml, python-mock, python-nose, python-nose2, python-psycopg2, python-setuptools, python-sphinx, python3-sphinx, docbook2x, docbook-xsl, docbook-xml, xsltproc Standards-Version: 4.1.5 Vcs-Browser: https://salsa.debian.org/debian-gis-team/python-stetl Vcs-Git: https://salsa.debian.org/debian-gis-team/python-stetl.git Homepage: http://stetl.org/ Package: python-stetl Architecture: all Section: python Depends: libjs-jquery, libjs-underscore, ${python:Depends}, ${misc:Depends} Provides: ${python:Provides} Description: Streaming ETL - Geospatial ETL framework for Python 2 Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion. . It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized. . Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server). . This package contains the module for Python 2. Package: stetl Architecture: all Section: utils Depends: python-stetl (>= ${binary:Version}), ${python:Depends}, ${misc:Depends} Description: Streaming ETL - Commandline utility Stetl, streaming ETL, pronounced "staedl", is a lightweight ETL-framework for the conversion of rich (as GML) geospatial data conversion. . It basically glues together existing parsing and transformation tools like GDAL/OGR (ogr2ogr) and XSLT. By using native tools like libxml and libxslt (via Python lxml) Stetl is speed-optimized. . Stetl has a similar design as Spring (Java) and other modern frameworks based on IoC (Inversion of Control). A configuration file (in Python config format) specifies your chain of ETL steps. This chain is formed by a series of Python modules/objects and their parameters. These are symbolically specified in the config file. You just invoke etl.py the main program with a config file. The config file specifies the input modules (e.g. PostGIS), transformers (e.g. XSLT) and outputs (e.g. a GML file or even WFS-T a geospatial protocol to publish GML to a server). . This package contains the stetl utility.