套件：python3-stetl（2.1-2）
Streaming ETL - Geospatial ETL framework for Python 3
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 3.
其他與 python3-stetl 有關的套件
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- dep: libjs-sphinxdoc (>= 7.2.2)
- JavaScript support for Sphinx documentation
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-deprecated
- Python decorator for old classes, functions or methods
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- dep: python3-gdal
- Python 3 bindings to the Geospatial Data Abstraction Library
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- dep: python3-jinja2
- small but fast and easy to use stand-alone template engine
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- dep: python3-lxml
- pythonic binding for the libxml2 and libxslt libraries
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- dep: python3-psycopg2
- Python 3 module for PostgreSQL