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Source: python-stetl
Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Uploaders: Bas Couwenberg <sebastic@debian.org>
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.
|
