View source for Preparing S-57 data using enc processor Python module

{{DISPLAYTITLE:Preparing S-57 data using enc_processor Python module}}
S-57 source data can be converted to MBTiles using the Python module ''enc_processor''. The output is split into one MBTiles dataset for each scaleband. Some layers are given custom fields to facilitate rendering in MARIA GDK. Zoom level configuration in the output is defined to work with the existing product ''NorwayNauticalENCVector.''[[File:S-57 enc processor.png|thumb]]Processing all scalebands for Norway typically takes 7-9 hours on a fast computer and SSD.

<syntaxhighlight lang="python3">
scalebands = {
    1 : {'name':'Overview', 'minzoom':3, 'maxzoom':12},
    2 : {'name':'General', 'minzoom':10, 'maxzoom':13},
    3 : {'name':'Coastal', 'minzoom':10, 'maxzoom':13},
    4 : {'name':'Approach', 'minzoom':13, 'maxzoom':16},
    5 : {'name':'Harbor', 'minzoom':14, 'maxzoom':17},
    6 : {'name':'Berthing', 'minzoom':14, 'maxzoom':17},
}
</syntaxhighlight>
== Dependencies ==
The module depends on the following non-standard Python packages.

* GDAL
* protobuf

== Arguments ==
{| class="wikitable"
|+
!Argument
!Description
|-
|input
|Input folder containing S-57 "000" files. Folders are searched recursively.
|-
|output
|Output folder where MBTiles will be built
|-
| --debug
|Write debug log messages
|}

== Example of use ==
<code>python -m enc_processor c:\work\enc\enc_root\ c:\work\enc\mbtiles\ --debug</code>

<code>python -m enc_processor --help</code>

[[Category:Preparing data]]