view backend/contrib/shpimporter/floodmarks.py @ 7076:7f600001c807 generator-refactoring

Add LTR inversion code to diagram generator. This code is used in serveral diagrams and as it modifies a whole diagram it should be central. (This should also make maintenance easier). This function can be called by processors to make sure that their data is plotted with an LTR waterflow.
author Andre Heinecke <aheinecke@intevation.de>
date Fri, 20 Sep 2013 16:33:22 +0200
parents 5aa05a7a34b7
children 90ba3ae2ced1
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# -*- coding: utf-8 -*-
try:
    from osgeo import ogr
except ImportError:
    import ogr

from importer import Importer
import logging
import os
import re

TABLE_NAME="flood_marks"
PATH="Hydrologie/HW-Marken"
NAME="Floodmarks"

logger = logging.getLogger(NAME)

BUILDING_KINDS= {
        "sonstige" : 0,
        "brücken"  : 1,
        "wehre"    : 2,
        "pegel"    : 3,
        }

class Floodmark(Importer):
    fieldmap = {
            "^station$"       : "km",
            "^km$"            : "km",
            "^wsv-km$"        : "km",
            "^FlussKm$"       : "km",
            "^z$"             : "z",
            "^z\d*"           : "z", # z02, z1890, usw.
            "^m+NHN$"         : "z",
            "^Ort$"           : "location",
            "^Pegel$"         : "location",
        }

    def getPath(self, base):
        return "%s/%s" % (base, PATH)

    def getTablename(self):
        return TABLE_NAME

    def getName(self):
        return NAME

    def isGeometryValid(self, geomType):
        return geomType == ogr.wkbPoint

    def isShapeRelevant(self, name, path):
        return "hw-marken" in name.lower()

    def createNewFeature(self, featureDef, feat, **args):
        newFeat  = ogr.Feature(featureDef)
        geometry = feat.GetGeometryRef()
        geometry.SetCoordinateDimension(2)
        newFeat.SetGeometry(geometry)

        self.copyFields(feat, newFeat, self.fieldmap)

        newFeat.SetField("river_id", self.river_id)

        filename = os.path.basename(args['path'])

        # Try to extract the year from the filename
        match = re.search(r"([_\-])(\d\d\d\d)([_\-])", filename)
        if match:
            year = match.groups()[1]
            year = int(year)
            newFeat.SetField("year", year)
        else:
            logger.warn(u"Could not extract year from filename: %s " % filename)

        return newFeat

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