view backend/contrib/shpimporter/floodmarks.py @ 8587:07c9ac22f611

(issue1755) Generalise BedQuality result handling The bedquality calculation now produces a result for each time period which has BedQualityResultValues for each specific result type. Formally this was split up in density, porosity and diameter classes with some bedload diameter classes mixed in for extra fun. The intent of this commit is to allow more shared code and generic access patterns to the BedQuality results.
author Andre Heinecke <andre.heinecke@intevation.de>
date Wed, 18 Mar 2015 18:42:08 +0100
parents 90ba3ae2ced1
children
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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)

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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