def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
# Input parameters
if len(sys.argv) == 11:
log.info("Reading input parameters")
peilgebied = sys.argv[1]
input_rr_peilgebied = sys.argv[2]
input_rr_maaiveld = sys.argv[3]
input_ahn = sys.argv[4]
input_lgn = sys.argv[5]
conversion = sys.argv[6]
input_hymstat = sys.argv[7]
output_risk_table = sys.argv[8]
output_risico = sys.argv[9]
output_risico_inundation = sys.argv[10]
else:
log.error("usage: <peilgebied> <input_rr_peilgebied> <input_rr_maaiveld> <input_ahn> <input_lgn>\
<conversion> <input_hymstat> <output_risk_table> <output_risico> <output_risico_inundation>")
sys.exit(1)
#----------------------------------------------------------------------------------------
log.info(" - read Conversion table")
conv_list = [d for d in csv.DictReader(open(conversion))]
expected_keys = ['LGN', 'K5', 'maxschade', 'sr1', 'sr2', 'sr3',
'sr4', 'sr5', 'sr6', 'sr7', 'sr8', 'sr9']
for k in expected_keys:
if k not in conv_list[0].keys():
log.error('could not find key %s in conversion table' % k)
sys.exit(2)
schadefuncties = {}
for item in conv_list:
schadefuncties[int(item['LGN'])] = item
#----------------------------------------------------------------------------------------
log.info(" - read hymstat table")
csv_list = [d for d in csv.DictReader(open(input_hymstat))]
expected_hymstat_keys = ['Location', 'Scale par. beta', 'Location par. x0']
for k in expected_hymstat_keys:
csv_list[0].keys()
if k not in csv_list[0].keys():
log.error('could not find key %s in hymstat table' % k)
sys.exit(2)
hymstat = {}
for item in csv_list:
hymstat[item[config.get('risico', 'hymstat_id')]] = item
#----------------------------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
#log.debug(" - check <input >: %s" % argument1)
"<check geometry from input data, append to list if incorrect>"
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check required fields in input data
log.info("Check required fields in input data")
missing_fields = []
#<check required fields from input data, append them to list if missing>
check_fields = {}#check_fields = {input_1: [fieldname1, fieldname2], input_2: [fieldname1, fieldname2]}
for input_fc, fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(gp, input_fc, fieldname):
errormsg = "fieldname %s not available in %s" % (fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Environments
log.info("Set environments")
temp_peilgebieden = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Select_analysis(peilgebied, temp_peilgebieden)
cellsize = gp.describe(input_ahn).MeanCellHeight # use same cell size as AHN
gp.extent = gp.describe(temp_peilgebieden).extent # use extent from Peilgebieden
gpgident = config.get('GENERAL', 'gpgident')
#----------------------------------------------------------------------------------------
# create ahn ascii
log.info("Create ascii from ahn")
ahn_ascii = turtlebase.arcgis.get_random_file_name(workspace, ".asc")
log.debug("ahn ascii: %s" % ahn_ascii)
gp.RasterToASCII_conversion(input_ahn, ahn_ascii)
#----------------------------------------------------------------------------------------
# create lgn ascii
log.info("Create ascii from lgn")
#read gpgident from file
lgn_desc = gp.describe(input_lgn)
if lgn_desc.DataType == 'ShapeFile' or lgn_desc.DataType == 'FeatureClass':
lgn_fieldnames = nens.gp.get_table_def(gp, input_lgn)
if "gridcode" in lgn_fieldnames:
gridcode = "GRIDCODE"
elif "grid_code" in lgn_fieldnames:
gridcode = "grid_code"
else:
log.error("Cannot find 'grid_code' or 'gridcode' field in input lgn file")
temp_lgn = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.FeatureToRaster_conversion(input_lgn, gridcode, temp_lgn, cellsize)
elif lgn_desc.DataType == 'RasterDataset':
temp_lgn = input_lgn
if not lgn_desc.MeanCellHeight == cellsize:
log.error("LGN cellsize does not match AHN cellsize (%sx%s m)" % cellsize)
sys.exit(5)
else:
log.error("cannot recognize datatype of LGN, must be a fc, shapefile or a raster dataset")
sys.exit(5)
lgn_ascii = turtlebase.arcgis.get_random_file_name(workspace, ".asc")
log.debug("lgn ascii: %s" % lgn_ascii)
gp.RasterToASCII_conversion(temp_lgn, lgn_ascii)
#----------------------------------------------------------------------------------------
log.info("Create ascii from surface level areas")
if not turtlebase.arcgis.is_fieldname(gp, temp_peilgebieden, "ID_INT"):
gp.AddField(temp_peilgebieden, "ID_INT", "LONG")
id_int = 1
idint_to_peilvakid = {}
peilvakid_to_idint = {}
if turtlebase.arcgis.is_fieldname(gp, temp_peilgebieden, gpgident):
rows = gp.SearchCursor(temp_peilgebieden)
for row in nens.gp.gp_iterator(rows):
peilvakid = row.GetValue(gpgident)
idint_to_peilvakid[id_int] = peilvakid
peilvakid_to_idint[peilvakid] = id_int
id_int = id_int + 1 #each row gets a new id_int
log.info(" - calc value ID_INT")
rows = gp.UpdateCursor(temp_peilgebieden)
for row in nens.gp.gp_iterator(rows):
gpg_ident = row.GetValue(gpgident)
id_int = peilvakid_to_idint[gpg_ident]
row.SetValue("ID_INT", id_int)
rows.UpdateRow(row)
log.info("Conversion feature peilgebieden to raster")
InField = "ID_INT"
temp_peilgebieden_raster = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.FeatureToRaster_conversion(temp_peilgebieden, InField, temp_peilgebieden_raster, cellsize)
peilgeb_asc = turtlebase.arcgis.get_random_file_name(workspace, ".asc")
gp.RasterToASCII_conversion(temp_peilgebieden_raster, peilgeb_asc)
#----------------------------------------------------------------------------------------
# Read input tables into dictionaries
log.info("Read input tables")
log.info(" - read RR_Peilgebied")
rr_peilgebied = nens.gp.get_table(gp, input_rr_peilgebied, primary_key=gpgident.lower())
log.info(" - read RR_Maaiveld")
rr_maaiveld = nens.gp.get_table(gp, input_rr_maaiveld, primary_key=gpgident.lower())
log.info(" - read conversion table between id_int and gpgident")
gpg_conv = nens.gp.get_table(gp, temp_peilgebieden, primary_key='id_int')
#----------------------------------------------------------------------------------------
log.info("Calculate Risk")
temp_risico = turtlebase.arcgis.get_random_file_name(workspace, "risk.asc")
temp_risico_in = turtlebase.arcgis.get_random_file_name(workspace, ".asc")
risico_tbl = turtlebase.risico.create_risk_grid(ahn_ascii, lgn_ascii,
peilgeb_asc, rr_peilgebied, rr_maaiveld,
hymstat, gpg_conv, schadefuncties, temp_risico,
temp_risico_in, cellsize)
risk_result = turtlebase.risico.create_risico_dict(risico_tbl, schadefuncties, primary_key=gpgident)
for k in risk_result.keys():
risk_result[k]['SOURCE'] = "hymstat: %s, ahn: %s, lgn: %s" % (os.path.basename(input_hymstat),
os.path.basename(input_ahn),
os.path.basename(input_lgn))
risk_result[k]['DATE_TIME'] = time.strftime("%d-%m-%Y, %H:%M:%S")
gp.ASCIIToRaster_conversion(temp_risico, output_risico, "FLOAT")
gp.ASCIIToRaster_conversion(temp_risico_in, output_risico_inundation, "FLOAT")
# Schrijf de resultaten weg als een nieuwe tabel
if not(gp.exists(output_risk_table)):
log.info("creating table " + output_risk_table)
gp.CreateTable(os.path.dirname(output_risk_table), os.path.basename(output_risk_table))
risk_fields = nens.gp.get_table_def(gp, output_risk_table)
fields_to_add = [{'fieldname': gpgident, 'fieldtype': 'text', 'length': 50},
{'fieldname': 'RIS_GW', 'fieldtype': 'Double'},
{'fieldname': 'RIS_GW_ST', 'fieldtype': 'Double'},
{'fieldname': 'RIS_GW_HL', 'fieldtype': 'Double'},
{'fieldname': 'RIS_GW_AK', 'fieldtype': 'Double'},
{'fieldname': 'RIS_GW_GR', 'fieldtype': 'Double'},
{'fieldname': 'RIS_GW_NT', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN_ST', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN_HL', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN_AK', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN_GR', 'fieldtype': 'Double'},
{'fieldname': 'RIS_IN_NT', 'fieldtype': 'Double'},
{'fieldname': 'SOURCE', 'fieldtype': 'text', 'length': 256},
{'fieldname': 'DATE_TIME', 'fieldtype': 'text', 'length': 25},
{'fieldname': 'COMMENTS', 'fieldtype': 'text', 'length': 256}]
for field_to_add in fields_to_add:
if field_to_add['fieldname'].lower() not in risk_fields:
if 'length' in field_to_add:
gp.addfield_management(output_risk_table, field_to_add['fieldname'], field_to_add['fieldtype'], "#", "#", field_to_add['length'])
else:
gp.addfield_management(output_risk_table, field_to_add['fieldname'], field_to_add['fieldtype'])
turtlebase.arcgis.write_result_to_output(output_risk_table, gpgident, risk_result)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
tempfiles = os.listdir(workspace)
for tempfile in tempfiles:
if tempfile.endswith('.asc') or tempfile.endswith('.prj') :
try:
os.remove(os.path.join(workspace, tempfile))
log.debug("%s/%s removed" % (workspace, tempfile))
except Exception, e:
log.debug(e)
mainutils.log_footer()
#check if output_table has the correct rows
log.info("Checking fields...")
for field_name, field_settings in cropFields.items():
if 'length' in field_settings:
if not turtlebase.arcgis.is_fieldname(gp, output_crop_table, field_name):
gp.AddField(output_crop_table, field_name, field_settings['type'], '#', '#', field_settings['length'])
else:
if not turtlebase.arcgis.is_fieldname(gp, output_crop_table, field_name):
gp.AddField(output_crop_table, field_name, field_settings['type'])
write_result_to_output(gp, output_crop_table, gpgident.lower(), output_gewas_areas)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
#ernst rekenklasse
ernst_drainage = ernst()
#----------------------------------------------------------------------------------------
#check inputfields
log.info("Getting commandline parameters... ")
if len(sys.argv) == 7:
file_input_peilgebieden_feature = sys.argv[1] #shape
file_input_peilvakgegevens = sys.argv[2] #[ZOMERPEIL],[WINTERPEIL]
file_input_kwelstroom = sys.argv[3] #[KWELSTROOM]
file_input_maaiveldkarakteristiek = sys.argv[4] #[MV_HGT_50]
file_input_bodemsoort = sys.argv[5] #shape
file_output = sys.argv[6]
else:
log.error("Usage: python rural_drainageparameter.py <peilgebieden shape> <peilvakgegevens> <kwelstroom> <maaiveldkarakteristiek> <bodemsoort shape> <outputtabel HydroBase>")
sys.exit(1)
#----------------------------------------------------------------------------------------
# Check geometry
log.info("Check geometry of input parameters")
if not turtlebase.arcgis.is_file_of_type(gp, file_input_peilgebieden_feature, 'Polygon'):
log.error("Input %s does not contain polygons" % file_input_peilgebieden_feature)
sys.exit(1)
if not turtlebase.arcgis.is_file_of_type(gp, file_input_bodemsoort, 'Polygon'):
log.error("Input %s does not contain polygons" % file_input_bodemsoort)
sys.exit(1)
#----------------------------------------------------------------------------------------
# Check required fields
log.info("Check required fields in input data")
peilgebied_id = config.get('GENERAL', 'gpgident')
pawn_code = config.get('Ernst', 'input_bodemsoort_code')
missing_fields = []
check_fields = {file_input_peilgebieden_feature: peilgebied_id,
file_input_peilvakgegevens: peilgebied_id,
file_input_peilvakgegevens: config.get('Ernst', 'peilvakgegevens_zomerpeil'),
file_input_peilvakgegevens: config.get('Ernst', 'peilvakgegevens_winterpeil'),
file_input_kwelstroom: peilgebied_id,
file_input_kwelstroom: config.get('Ernst', 'kwelstroom_kwelstroom'),
file_input_maaiveldkarakteristiek: peilgebied_id,
file_input_maaiveldkarakteristiek: config.get('Ernst', 'maaiveldkarakteristiek_value'),
file_input_bodemsoort: pawn_code}
for input_file, field in check_fields.items():
if not turtlebase.arcgis.is_fieldname(gp, input_file, field):
log.error("Missing field %s in %s" % (field, input_file))
missing_fields.append("missing %s in %s" % (field, input_file))
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check record count
log.info("Check records of input parameters")
count_area = turtlebase.arcgis.fc_records(gp, file_input_peilgebieden_feature)
count_surface_level_table = turtlebase.arcgis.fc_records(gp, file_input_peilvakgegevens)
count_seepage = turtlebase.arcgis.fc_records(gp, file_input_kwelstroom)
count_scurve = turtlebase.arcgis.fc_records(gp, file_input_maaiveldkarakteristiek)
if count_surface_level_table != count_area:
log.error("input %s (%s records) contains not the same records as %s (%s records)" % (file_input_peilvakgegevens, count_surface_level_table,
file_input_peilgebieden_feature, count_area))
sys.exit(2)
if count_seepage != count_area:
log.error("input %s (%s records) contains not the same records as %s (%s records)" % (file_input_kwelstroom, count_seepage,
file_input_peilgebieden_feature, count_area))
sys.exit(2)
if count_scurve != count_area:
log.error("input %s (%s records) contains not the same records as %s (%s records)" % (file_input_maaiveldkarakteristiek,
count_scurve, file_input_peilgebieden_feature, count_area))
sys.exit(2)
#----------------------------------------------------------------------------------------
#A: bodemsoort
log.info("A-1) Copy peilgebieden to temporary workspace")
temp_peilgebieden = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.select_analysis(file_input_peilgebieden_feature, temp_peilgebieden)
log.info("A-2) Copy bodemsoort to temporary workspace")
temp_bodemsoort = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.select_analysis(file_input_bodemsoort, temp_bodemsoort)
log.info("A-3) Intersect bodemsoort + peilgebieden -> peilg+bodem")
temp_intersect_bodem_peilgebieden = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Intersect_analysis(temp_peilgebieden + "; " + temp_bodemsoort, temp_intersect_bodem_peilgebieden)
log.info("A-4) Dissolve peilg+bodem")
temp_dissolve_bodem_peilgebieden = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Dissolve_management (temp_intersect_bodem_peilgebieden, temp_dissolve_bodem_peilgebieden, peilgebied_id + " ;" + pawn_code, "")
log.info("A-5) Read peilg+bodem(dissolve)")
log.info(" - reading shape")
peilv_grondsoort = {}
row = gp.SearchCursor(temp_dissolve_bodem_peilgebieden)
for item in nens.gp.gp_iterator(row):
area_id = item.GetValue(peilgebied_id)
soil_id = item.GetValue(pawn_code)
area = item.Shape.Area
data_row = {'pawn_code': soil_id, 'area': area}
if not(peilv_grondsoort.has_key(area_id)):
peilv_grondsoort[area_id] = {'grondsoort':[]}
peilv_grondsoort[area_id]['grondsoort'].append(data_row)
log.info(" - sorting")
for key in peilv_grondsoort.keys():
peilv_grondsoort[key]['grondsoort'].sort(sort_area_rev)
peilv_grondsoort[key]['area'] = sum_grondsoort(peilv_grondsoort[key]['grondsoort'])
# ---------------------------------------------------------------------------
#B: ernst parameters
#inlezen van shape files: [ZOMERPEIL, WINTERPEIL, KWELSTROOM, MV_HGT_50]
log.info("B-1) Reading inputfile peilvakgegevens")
data_set = {}
row = gp.SearchCursor(file_input_peilvakgegevens)
for item in nens.gp.gp_iterator(row):
field_id = item.GetValue(peilgebied_id)
data_set[field_id] = {}
data_set[field_id]['zomerpeil'] = item.GetValue(config.get('Ernst', 'peilvakgegevens_zomerpeil'))
data_set[field_id]['winterpeil'] = item.GetValue(config.get('Ernst', 'peilvakgegevens_winterpeil'))
if (data_set[field_id]['zomerpeil'] < float(config.get('Ernst', 'validate_min_zomerpeil'))) or (data_set[field_id]['zomerpeil'] > float(config.get('Ernst', 'validate_max_zomerpeil'))):
log.error("zomerpeil has a non-valid value of " + str(data_set[field_id]['zomerpeil']))
sys.exit(5)
if (data_set[field_id]['winterpeil'] < float(config.get('Ernst', 'validate_min_winterpeil'))) or (data_set[field_id]['zomerpeil'] > float(config.get('Ernst', 'validate_max_winterpeil'))):
log.error("winterpeil has a non-valid value of " + str(data_set[field_id]['winterpeil']))
sys.exit(5)
#inlezen van shape files: [ZOMERPEIL, WINTERPEIL, KWELSTROOM, MV_HGT_50]
log.info("B-2) Reading inputfile kwelstroom")
row = gp.SearchCursor(file_input_kwelstroom)
for item in nens.gp.gp_iterator(row):
field_id = item.GetValue(peilgebied_id)
if not(data_set.has_key(field_id)):
log.error("non-matching kwelstroom and peilvakgegevens, check if peilvakgegevens has key '" + field_id + "'")
sys.exit(9)
data_set[field_id]['kwel'] = item.GetValue(config.get('Ernst', 'kwelstroom_kwelstroom'))
#inlezen van shape files: [ZOMERPEIL, WINTERPEIL, KWELSTROOM, MV_HGT_50]
log.info("B-3) Reading inputfile maaiveldkarakteristiek")
row = gp.SearchCursor(file_input_maaiveldkarakteristiek)
for item in nens.gp.gp_iterator(row):
field_id = item.GetValue(peilgebied_id)
if not(data_set.has_key(field_id)):
log.error("non-matching maaiveldkarakteristiek and peilvakgegevens, check if peilvakgegevens has key '" + field_id + "'")
sys.exit(9)
data_set[field_id]['maaiveld'] = item.GetValue(config.get('Ernst', 'maaiveldkarakteristiek_value'))
# ---------------------------------------------------------------------------
#check input: each record should contain all fields (count: 4)
log.info("B-4) Checking input")
for key, value in data_set.items():
if len(value.items()) != 4:
log.error(key, value)
log.error("check if inputfiles match with eachother!")
sys.exit(6)
# ---------------------------------------------------------------------------
#bepaling drooglegging: [DL] = [MV_HGT_50] - max([WINTERPEIL], [ZOMERPEIL])
#bepaling drainageweerstand [ALFA_LZ] = xx * [DL} - yy, waarbij xx, yy afhangen van de klasse
#bepaling INF_OPWAT, OPP_AFVOER
log.info("B-6) preparing data for output")
data_set_output = {}
import time
date_str = time.strftime("%d %B %Y %H:%M:%S")
log.info("Calculating GRONDSOORT, drooglegging, ALFA_LZ, INF_OPWAT, OPP_AFVOER... ")
log.info(" - Datum-string: " + date_str)
for key, item in data_set.items():
#print key, item
data_set[key]['drooglegging'] = ernst_drainage.calc_dl(item['maaiveld'], item['zomerpeil'], item['winterpeil'])
data_set_output[key] = {}
data_set_output[key][peilgebied_id] = key #important!
data_set_output[key][config.get('Ernst', 'output_alfa_lz')] = ernst_drainage.calc_alfa(data_set[key]['kwel'], data_set[key]['drooglegging'])
data_set_output[key][config.get('Ernst', 'output_inf_opwat')] = 500 #of dataset['key']['ALFA_LZ']*1.5
data_set_output[key][config.get('Ernst', 'output_opp_afvoer')] = 0.5
grondsrt_str = ""
try:
data_set_output[key][config.get('Ernst', 'output_grondsoort')] = peilv_grondsoort[key]['grondsoort'][0]['pawn_code']
for idx in range(min(len(peilv_grondsoort[key]['grondsoort']), 5)):
grondsrt_str = grondsrt_str + str(peilv_grondsoort[key]['grondsoort'][idx]['pawn_code']) + "(" + str(int(100 * peilv_grondsoort[key]['grondsoort'][idx]['area'] / peilv_grondsoort[key]['area'])) + "%) "
except Exception, e:
log.warning(e)
log.warning("id " + key + " has no " + config.get('Ernst', 'output_grondsoort') + " value!")
data_set_output[key][config.get('Ernst', 'output_grondsoort')] = -1
source_str = "grondsrt:" + grondsrt_str + "pv:" + os.path.basename(file_input_peilvakgegevens) + " kwel:" + os.path.basename(file_input_kwelstroom) + " mv:" + os.path.basename(file_input_maaiveldkarakteristiek)
if len(source_str) > 50:
source_str = source_str[:50]
data_set_output[key]['SOURCE'] = source_str
data_set_output[key]['DATE_TIME'] = date_str
# ---------------------------------------------------------------------------
#C: output
#add cols [ALFA_LZ], [INF_OPWAT], [OPP_AFVOER]
drainageFields = {peilgebied_id: {'type': 'TEXT', 'length': '30'},
config.get('Ernst', 'output_alfa_lz'):{'type': 'DOUBLE'},
config.get('Ernst', 'output_inf_opwat'):{'type': 'DOUBLE'},
config.get('Ernst', 'output_opp_afvoer'):{'type': 'DOUBLE'},
config.get('Ernst', 'output_grondsoort'):{'type': 'INTEGER'},
'SOURCE':{'type': 'TEXT', 'length': '256'},
'DATE_TIME':{'type': 'TEXT', 'length': '40'},
'COMMENTS':{'type': 'TEXT', 'length': '256'}}
#check if output_table exists. if not, create with correct rows
log.info("C-1) Checking output table... ")
if not(gp.exists(file_output)):
gp.CreateTable(os.path.dirname(file_output), os.path.basename(file_output))
#check if output_table has the correct rows
log.info("C-2) Checking fields... ")
for field_name, field_settings in drainageFields.items():
if field_settings.has_key('length'):
if not turtlebase.arcgis.is_fieldname(gp, file_output, field_name):
gp.AddField(file_output, field_name, field_settings['type'], '#', '#', field_settings['length'])
else:
if not turtlebase.arcgis.is_fieldname(gp, file_output, field_name):
gp.AddField(file_output, field_name, field_settings['type'])
# ---------------------------------------------------------------------------
# Write results to output table
log.info("Write results to output table")
turtlebase.arcgis.write_result_to_output(file_output, peilgebied_id, data_set_output)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
log.info("workspace: %s" % workspace)
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#------------------------------------------------
log.info("Reading and checking input")
rekenpunten = sys.argv[1]
waterlijnen = sys.argv[2]
peilgebieden = sys.argv[3] #optioneel
output_bergingstakken = sys.argv[4]
gpgident = config.get('General', 'gpgident')
if turtlebase.arcgis.is_fieldname(gp, peilgebieden, gpgident):
peilgebieden_list = nens.gp.get_table(gp, peilgebieden, primary_key=gpgident.lower())
else:
log.error("field %s is missing in %s", gpgident, peilgebieden)
sys.exit(1)
if not turtlebase.arcgis.is_fieldname(gp, rekenpunten, gpgident):
log.error("field %s is missing in %s", gpgident, rekenpunten)
sys.exit(1)
log.info("Controleer of de opgegeven bestandsnamen arcgis compatibel zijn")
for argv in sys.argv[1:]:
turtlebase.filenames.check_filename(argv)
#uitlezen x en y coordinaat van de rekenpunten
log.info("Inlezen rekenpunten")
rekenpunten_x_y_coordinaten = bepalen_x_y_coordinaat(gp, rekenpunten, gpgident)
log.info("Kopieer " + waterlijnen + " naar de workspace")
waterlijnen_lokaal = turtlebase.arcgis.get_random_file_name(workspace_gdb)
log.debug("Kopieer de waterlijnen naar een lokale directory ")
gp.select_analysis(waterlijnen, waterlijnen_lokaal)
log.info("Bereken eindpunten van potentiele bergingstakken rondom rekenpunten")
dict_stars = create_dict_stars_around_rekenpunten(peilgebieden_list, config, rekenpunten_x_y_coordinaten)
joined_dictionaries = join_dictionaries(dict_stars, rekenpunten_x_y_coordinaten)
star = turtlebase.arcgis.get_random_file_name(workspace_gdb)
log.info("Aanmaken potentiele bergingstakken vanuit rekenpunt ")
createLineFromPoints(gp, joined_dictionaries, 'gpgident', star)
intersect = turtlebase.arcgis.get_random_file_name(workspace_gdb)
log.info("Bereken kruisingen van potentiele bergingstakken met waterlijnen")
#Buffer_analysis (in_features, out_feature_class, buffer_distance_or_field, line_side, line_end_type, dissolve_option, dissolve_field)
gp.Intersect_analysis(star + ";" + waterlijnen_lokaal, intersect, "#", "#", "POINT")
intersect_x_y_coordinaten = bepalen_x_y_coordinaat(gp, intersect, gpgident)
remainingpoints_to_be_removed_from_star = remove_duplicate_values_from_dictionaries(rekenpunten_x_y_coordinaten, intersect_x_y_coordinaten)
#nu remainingpoints_to_be_removed_from_star dictionary de keys vergelijken met de id in star en dan record verwijderen
log.info("Bepaal overgebleven eindpunten van bergingstakken")
remove_records_from_shapefile_based_on_keys_in_dict(gp, star, gpgident, remainingpoints_to_be_removed_from_star)
star_punten = turtlebase.arcgis.get_random_file_name(workspace_gdb)
#nu worden coordinaten uitgelezen uit de star_punten shape (lijnen)
log.info("Bereken ideale bergingstak")
create_points_from_dict(gp, dict_stars, star_punten, gpgident)
intersect2 = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Intersect_analysis(star_punten + ";" + star, intersect2, "#", "#", "POINT")
log.info("Bereken afstand potentiele bergingstakken naar waterlijn")
log.debug("Als eerste wordt een buffer aangemaakt ")
buffer_star = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Buffer_analysis(rekenpunten, buffer_star, int(config.get('bergingstakken', 'length_of_breach')))
snijpunt_waterlijn = turtlebase.arcgis.get_random_file_name(workspace_gdb)
log.debug("Nu intersect van de buffer met de waterlijnen. Deze punten worden gebruikt om de afstand naar de waterlijn te berekenen ")
gp.Intersect_analysis(buffer_star + ";" + waterlijnen_lokaal, snijpunt_waterlijn, "#", "#", "POINT")
log.debug("Nu wegschrijven van de coordinaten van de snijpunten met de waterlijn naar een dictionary")
snijpunten_waterlijn_dict = bepalen_x_y_coordinaat_meerdere_punten(gp, snijpunt_waterlijn, gpgident)
log.debug("Nu wegschrijven van de coordinaten van de overgebleven punten van de ster naar een dictionary")
punten_star_dict = bepalen_x_y_coordinaat_meerdere_punten(gp, intersect2, gpgident)
log.debug("Er zijn 2 of meer punten op de waterlijn waarnaar de punten van de ster een afstand hebben")
log.debug("Berekend wordt welke de minimale afstand oplevert tussen punt van de ster en waterlijn")
#nu afstand berekenen mbv de distance calculator uit vorige script tussen snijpunten_waterlijn_dict en intersect2
minimaldistance_dict_star_points = calculate_distance_between_points(snijpunten_waterlijn_dict, punten_star_dict)
log.info("Berekend wordt welk punt van de bergingstak het verst van de waterlijn verwijderd is")
list_with_ideal_points = bepaal_ideale_punt_bergingstak(minimaldistance_dict_star_points)
out_data = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Copy_management (star, out_data)
log.info("Selecteer de bergingstakken die loodrecht op waterlijn staan")
remove_records_from_shapefile_not_in_list(gp, star, gpgident, list_with_ideal_points)
#koppel de lijnen aan de RR_oppervlak tabel en neem de openwat_HA waarden over
log.debug("De gpgident wordt weer teruggehaald ui de unieke peilgebiedid")
clean_up_star(gp, star, gpgident)
#intersect van star met zichzelf. als er iets overblijft dan geef een warning met de betreffende peilgebied id, mededeling
# voor de gebruiker dat hij/zij daar even handmatig wat aan aan moet passen.
log.info("Creeeren out_shape bergingstakken")
log.info('%s star' %star)
log.info('%s star'% output_bergingstakken)
gp.select_analysis(star, output_bergingstakken)
log.info("Check of er bergingstakken zijn die overlappen ")
try:
intersect3 = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Intersect_analysis(output_bergingstakken, intersect3, "#", "#", "POINT")
#loop door de output van de intersect en geeft de GPGident weer als deze in de attribute table staat
row = gp.SearchCursor(intersect3)
for item in nens.gp.gp_iterator(row):
gpg_ident = item.getValue(gpgident)
log.warning("In peilgebied " + str(gpg_ident) + " overlapt de bergingstak met een andere bergingstak. Pas dit handmatig aan!")
except (RuntimeError, TypeError, NameError):
log.info('Geen overlap aanwezig')
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#---------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(
gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#---------------------------------------------------------------------
# Input parameters
"""
nodig voor deze tool:
"""
if len(sys.argv) == 6:
log.info("Reading input parameters")
mpoint = sys.argv[1]
hydroline = sys.argv[2]
output_xyz = sys.argv[3]
output_yz = sys.argv[4]
output_locations = sys.argv[5]
else:
log.warning("usage: <hydroline> <mpoint> <output_xyz> <output_yz>")
sys.exit(1)
#---------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
#log.debug(" - check <input >: %s" % argument1)
#"<check geometry from input data, append to list if incorrect>"
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#---------------------------------------------------------------------
ovkident = 'ovkident'
proident = 'proident'
zcoord = 'ZH'
# Check required fields in input data
log.info("Check required fields in input data")
missing_fields = []
#<check required fields from input data,
# append them to list if missing>
check_fields = {hydroline: [ovkident],
mpoint: [proident, zcoord]}
#check_fields = {input_1: [fieldname1, fieldname2],
# input_2: [fieldname1, fieldname2]}
for input_fc, fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(
gp, input_fc, fieldname):
errormsg = "fieldname %s not available in %s" % (
fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#---------------------------------------------------------------------
multipoints = turtlebase.arcgis.get_random_file_name(workspace, ".shp")
log.info("Dissolving pointcloud to multipoint")
gp.Dissolve_management(mpoint, multipoints, proident)
if output_locations == '#':
output_locations = (
turtlebase.arcgis.get_random_file_name(workspace_gdb))
log.info("Calculating coordinates of centerpoints")
create_centroids(gp, multipoints, output_locations, proident)
centerpoints_sj = turtlebase.arcgis.get_random_file_name(workspace, ".shp")
log.info("Calculation adjacent hydrolines")
gp.SpatialJoin_analysis(output_locations, hydroline, centerpoints_sj,
'JOIN_ONE_TO_ONE', "#", "#", "CLOSEST", 100)
log.info("Reading center points")
centerpoints_d = nens.gp.get_table(gp, centerpoints_sj,
primary_key=proident)
log.info("Reading hydrolines")
lineparts = get_line_parts(gp, hydroline, ovkident)
log.info("Reading pointcloud")
pointcloud = get_pointcloud(gp, mpoint, proident, zcoord)
log.info("Sorting profiles")
profiles_xyz, profiles_yz = sort_pointcloud(gp, centerpoints_d,
lineparts, pointcloud)
log.info("Write xyz points to output")
write_profiles_xyz(gp, profiles_xyz, output_xyz)
log.info("Write yz information to output table")
write_profiles_yz(gp, profiles_yz, output_yz)
#---------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(multipoints)
gp.delete(centerpoints_sj)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
# Input parameters
if len(sys.argv) == 5:
# input parameter
input_external_weir = sys.argv[1]
input_voronoi_polygon = sys.argv[2]
input_rrcf_waterlevel = sys.argv[3]
# output parameters
output_table_external_weir = sys.argv[4]
else:
log.error("usage: <input_external_weir> <input_voronoi_polygon> <input rrcf waterlevel> <output_table_external_weir>")
sys.exit(1)
temp_voronoi = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.select_analysis(input_voronoi_polygon, temp_voronoi)
#----------------------------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
log.debug(" - check input_external_weir: %s" % input_external_weir)
if gp.describe(input_external_weir).ShapeType != 'Point':
log.error("Input_external_weir is not a point feature class!")
geometry_check_list.append(input_external_weir + " -> (Point)")
log.debug(" - check voronoi polygon: %s" % temp_voronoi)
if gp.describe(temp_voronoi).ShapeType != 'Polygon':
log.error("Input voronoi is not a polygon feature class!")
geometry_check_list.append(temp_voronoi + " -> (Polygon)")
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check required fields in database
log.info("Check required fields in input data")
missing_fields = []
if not turtlebase.arcgis.is_fieldname(gp, temp_voronoi, config.get('toetsing_overstorten', 'calculation_point_ident')):
log.debug(" - missing: %s in %s" % (config.get('toetsing_overstorten', 'calculation_point_ident'), temp_voronoi))
missing_fields.append("%s: %s" % (temp_voronoi, config.get('toetsing_overstorten', 'calculation_point_ident')))
if not turtlebase.arcgis.is_fieldname(gp, input_rrcf_waterlevel, config.get('toetsing_overstorten', 'field_waterstand')):
log.debug(" - missing: %s in %s" % (config.get('toetsing_overstorten', 'field_waterstand'), input_rrcf_waterlevel))
missing_fields.append("%s: %s" % (input_rrcf_waterlevel, config.get('toetsing_overstorten', 'field_waterstand')))
if not turtlebase.arcgis.is_fieldname(gp, input_external_weir, config.get('toetsing_overstorten', 'overstort_ident')):
log.debug(" - missing: %s in %s" % (config.get('toetsing_overstorten', 'overstort_ident'), input_external_weir))
missing_fields.append("%s: %s" % (input_external_weir, config.get('toetsing_overstorten', 'overstort_ident')))
if not turtlebase.arcgis.is_fieldname(gp, input_external_weir, config.get('toetsing_overstorten', 'drempelhoogte')):
log.debug(" - missing: %s in %s" % (config.get('toetsing_overstorten', 'drempelhoogte'), input_external_weir))
missing_fields.append("%s: %s" % (input_external_weir, config.get('toetsing_overstorten', 'drempelhoogte')))
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#----------------------------------------------------------------------------------------
# read waterlevel table as a dictionary
log.info("Read waterlevel table")
waterlevel_dict = nens.gp.get_table(gp, input_rrcf_waterlevel, primary_key=config.get('toetsing_overstorten', 'calculation_point_ident').lower())
log.debug(waterlevel_dict)
# Add fields to output
if not turtlebase.arcgis.is_fieldname(gp, temp_voronoi, config.get('toetsing_overstorten', 'field_waterstand')):
log.info(" - add field %s" % config.get('toetsing_overstorten', 'field_waterstand'))
gp.addfield(temp_voronoi, "%s" % config.get('toetsing_overstorten', 'field_waterstand'), "double")
# copy waterlevel to voronoi polygons
field_config_waterstand = config.get('toetsing_overstorten', 'field_waterstand').lower()
field_calculation_point_ident = config.get('toetsing_overstorten', 'calculation_point_ident')
rows = gp.UpdateCursor(temp_voronoi)
for row in nens.gp.gp_iterator(rows):
row_id = row.GetValue(field_calculation_point_ident)
if waterlevel_dict.has_key(row_id):
log.debug(waterlevel_dict[row_id])
row.SetValue(field_config_waterstand, waterlevel_dict[row_id][field_config_waterstand])
rows.UpdateRow(row)
#----------------------------------------------------------------------------------------
# Join external weirs to voronoi using spatial location (spatial join)
log.info("join waterlevel to external weirs using a spatial location")
temp_spatial_join = turtlebase.arcgis.get_random_file_name(workspace_gdb)
#gp.SpatialJoin_analysis(input_external_weir, temp_voronoi, temp_spatial_join, "JOIN_ONE_TO_ONE", "#", "#", "INTERSECTS")
gp.Intersect_Analysis(input_external_weir + ';' + temp_voronoi, temp_spatial_join)
external_weir_dict = nens.gp.get_table(gp, temp_spatial_join, primary_key=config.get('toetsing_overstorten', 'overstort_ident').lower())
result_dict = {}
for k, v in external_weir_dict.items():
waterlevel = v[config.get('toetsing_overstorten', 'field_waterstand').lower()]
weir_height = v[config.get('toetsing_overstorten', 'drempelhoogte').lower()]
if waterlevel is None or weir_height is None:
waterlevel = -999
weir_height = -999
result_value = 9
else:
if float(waterlevel) > float(weir_height):
result_value = 1
else:
result_value = 0
result_dict[k] = {config.get('toetsing_overstorten', 'overstort_ident'): k,
config.get('toetsing_overstorten', 'field_waterstand'): waterlevel,
config.get('toetsing_overstorten', 'drempelhoogte'): weir_height,
config.get('toetsing_overstorten', 'field_toetsing_overlast_stedelijk'): result_value}
#----------------------------------------------------------------------------------------
# Create output table
if not gp.exists(output_table_external_weir):
log.info("Create new output table")
temp_result_table = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.CreateTable_management(os.path.dirname(temp_result_table), os.path.basename(temp_result_table))
copy_table = True
else:
temp_result_table = output_table_external_weir
copy_table = False
fields_to_add = [config.get('toetsing_overstorten', 'field_waterstand'),
config.get('toetsing_overstorten', 'drempelhoogte'),
config.get('toetsing_overstorten', 'field_toetsing_overlast_stedelijk')]
if not turtlebase.arcgis.is_fieldname(gp, temp_result_table, config.get('toetsing_overstorten', 'overstort_ident')):
log.debug(" - add field %s to %s" % (config.get('toetsing_overstorten', 'overstort_ident'), temp_result_table))
gp.addfield_management(temp_result_table, config.get('toetsing_overstorten', 'overstort_ident'), 'text')
for field in fields_to_add:
if not turtlebase.arcgis.is_fieldname(gp, temp_result_table, field):
log.debug(" - add field %s to %s" % (field, temp_result_table))
gp.addfield_management(temp_result_table, field, 'double')
#----------------------------------------------------------------------------------------
# Write results to output table
log.info("Write results to output table")
turtlebase.arcgis.write_result_to_output(temp_result_table, config.get('toetsing_overstorten', 'overstort_ident').lower(), result_dict)
if copy_table == True:
gp.TableToTable_conversion(temp_result_table, os.path.dirname(output_table_external_weir), os.path.basename(output_table_external_weir))
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#---------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(
gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#---------------------------------------------------------------------
# Input parameters
"""
nodig voor deze tool:
"""
if len(sys.argv) == 4:
user_input = sys.argv[1]
flip_field = sys.argv[2].lower()
output_shape = sys.argv[3]
else:
log.warning("usage: <user_input> <output_shape>")
sys.exit(1)
tempfiles = []
input_shape = turtlebase.arcgis.get_random_file_name(workspace, '.shp')
gp.Select_analysis(user_input, input_shape)
#---------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
#log.debug(" - check <input >: %s" % argument1)
if not turtlebase.arcgis.is_file_of_type(gp, input_shape, 'Polyline'):
log.error("%s is not a %s feature class!" % (input_shape, 'Polyline'))
geometry_check_list.append("%s -> (%s)" % (input_shape, 'Polyline'))
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#---------------------------------------------------------------------
# Check required fields in input data
ovk_field = config.get('general', 'ovkident').lower()
missing_fields = []
check_fields = {input_shape: ['Sum_OPP_LA', 'Sum_OPP_ST',
ovk_field, 'from_x', 'from_y', 'to_x', 'to_y', flip_field]}
for input_fc, fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(
gp, input_fc, fieldname):
errormsg = "fieldname %s not available in %s" % (
fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#---------------------------------------------------------------------
#create output:
fields_to_add = [(ovk_field, 'TEXT'),
('incoming', 'SHORT'),
('examined', 'SHORT'),
('terminal', 'SHORT'),
('som_sted', 'DOUBLE'),
('som_land', 'DOUBLE'),
('som_totaal', 'DOUBLE'),
('bottleneck', 'SHORT'),
(flip_field, 'SHORT')]
gp.select_analysis(input_shape, output_shape)
new_feat = {}
new_geometry = {}
log.info("Inlezen geometrie en omdraaien van de geometrie")
fieldnames_dict = nens.gp.get_table_def(gp, input_shape)
log.debug(fieldnames_dict)
desc = gp.describe(input_shape)
count = 0
rows = gp.SearchCursor(input_shape)
row = rows.Next()
while row:
flip_boolean = row.getValue(flip_field)
if flip_boolean == 1:
count += 1
#read features
feat = row.getValue(desc.ShapeFieldName)
ovkident = row.getValue(ovk_field)
new_feat = flip_geometry(gp, feat, ovkident, new_feat)
##new_feat = feat
#store geometry information in dictionary
if ovkident not in new_geometry:
new_geometry[ovkident] = {}
#store all information from the attribute table
for column in fields_to_add:
column = column[0]
#columns with from en to for x and y need to be switched as well
if column == 'from_x':
lookup_column = 'to_x'
elif column == 'from_y':
lookup_column = 'to_y'
elif column == 'to_y':
lookup_column = 'from_y'
elif column == 'to_x':
lookup_column = 'from_x'
else:
# no switch needed
lookup_column = column
if column != 'opm':
if lookup_column in fieldnames_dict:
update_value = row.getValue(lookup_column)
try:
float_value = float(update_value)
new_geometry[ovkident][column] = float_value
except:
log.debug("geen float")
new_geometry[ovkident][column] = row.getValue(lookup_column)
log.debug(new_geometry[ovkident][column])
#waterlijn wordt opgeslagen in dictionary
if column == 'opm':
new_geometry[ovkident][column] = "Lijn is omgedraaid"
log.info("Opslaan van waterlijn: " + str(ovkident))
row = rows.Next()
del row, rows
#remove the lines that are going to be flipped
removed_lines = turtlebase.arcgis.get_random_file_name(workspace_gdb)
#alleen als er inderdaad lijnen gedraaid worden moet de tempfile aangemaakt worden.
gp.select_analysis(input_shape, removed_lines)
#first remove lines that are going to be duplicate in the end result. lines are
# remove from a copy of the input file.
row = gp.UpdateCursor(removed_lines)
log.info("Verwijder dubbele rijen")
for item in nens.gp.gp_iterator(row):
if item.getValue(flip_field) == 1:
row.DeleteRow(item)
temp_shape = turtlebase.arcgis.get_random_file_name(workspace_gdb)
tempfiles.append(temp_shape)
#creates new lines in workspace with same name as output_shape
count = create_line_from_dict(gp, workspace_gdb, new_feat, fields_to_add, new_geometry, temp_shape)
if count == 0:
log.warning("Er zijn geen lijnen omgedraaid")
log.warning("Door de gebruiker is in de kolom " + str(flip_field) + " geen 1 ingevuld")
else:
tempfiles.append(removed_lines)
#merge new lines with output
gp.Merge_management(temp_shape + ";" + removed_lines, output_shape)
#---------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
turtlebase.arcgis.remove_tempfiles(gp, log, tempfiles)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
#check inputfields
log.info("Getting commandline parameters... ")
if len(sys.argv) == 5:
input_polygon_fc = sys.argv[1] #peilgebieden waarbinnen de afvoervakken moeten worden gezocht
input_channel_fc = sys.argv[2] #lijnstukken waarvan het dichtsbijzijnde gebied moet worden gezocht
output_afvoervlakken_shp = sys.argv[3] #shapefile van de gecreerde afvoervakken per lijnstuk
use_intersect_channel = sys.argv[4] # boolean, opknippen channel: ja of nee
else:
log.error("Usage: python rural_genereren_afvoervlakken.py <peilgebieden shape> <waterlijnen shape> <output shape>")
sys.exit(1)
#----------------------------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
if not turtlebase.arcgis.is_file_of_type(gp, input_polygon_fc, 'Polygon'):
log.error("%s is not a %s feature class!" % (input_polygon_fc, 'Polygon'))
geometry_check_list.append("%s -> (%s)" % (input_polygon_fc, 'Polygon'))
if not turtlebase.arcgis.is_file_of_type(gp, input_channel_fc, 'Polyline'):
log.error("%s is not a %s feature class!" % (input_channel_fc, 'Polyline'))
geometry_check_list.append("%s -> (%s)" % (input_channel_fc, 'Polyline'))
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check required fields
log.info("check required fields in input data")
missing_fields = []
ovk_field = config.get('afvoervlakken', 'input_channel_ident')
gpg_field = config.get('GENERAL', 'gpgident')
if not turtlebase.arcgis.is_fieldname(gp, input_polygon_fc, gpg_field):
log.error("missing field '%s' in %s" % (gpg_field, input_polygon_fc))
missing_fields.append("%s: %s" % (input_polygon_fc, gpg_field))
if not turtlebase.arcgis.is_fieldname(gp, input_channel_fc, ovk_field):
log.error("missing field '%s' in %s" % (ovk_field, input_channel_fc))
missing_fields.append("%s: %s" % (input_channel_fc, ovk_field))
if len(missing_fields) > 0:
log.error("missing fields: %s" % missing_fields)
#----------------------------------------------------------------------------------------
polygon_dict = nens.gp.get_table(gp, input_polygon_fc, primary_key=gpg_field.lower())
#extract channels within polygon
intersect_waterlijn = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Intersect_analysis([input_polygon_fc, input_channel_fc], intersect_waterlijn)
polygon_list = []
if not os.path.isdir(os.path.join(workspace, "voronoi_work")):
os.makedirs(os.path.join(workspace, "voronoi_work"))
counter = 0
for k in polygon_dict.keys():
counter += 1
log.info("extract polygon %s" % k)
huidig_peilgebied_lyr = "gpg_%s" % counter
gp.MakeFeatureLayer(input_polygon_fc, huidig_peilgebied_lyr, "%s = '%s'" % (gpg_field, k))
log.debug("extract polylines within %s" % k)
huidige_waterlijn_lyr = "ovk_%s" % counter
gp.MakeFeatureLayer(intersect_waterlijn, huidige_waterlijn_lyr, "%s = '%s'" % (gpg_field, k))
#count records
record_count = turtlebase.arcgis.fc_records(gp, huidige_waterlijn_lyr)
log.debug(" - record count: %s" % record_count)
if record_count > 1:
log.info(" - create voronoi polygons")
point_selection = turtlebase.voronoi.create_points(gp, huidige_waterlijn_lyr, ovk_field)
log.info(" - create line_voronoi")
result_dict = turtlebase.voronoi.create_line_voronoi(point_selection)
log.info(" - create polygons")
polygon_fc = turtlebase.voronoi.create_merged_polygons(result_dict, workspace_gdb)
log.info(" - intersect line_voronoi polygons")
output_intersect_fc = os.path.join(workspace, "voronoi_work", "voronoi_%s.shp" % counter)
gp.Intersect_analysis(huidig_peilgebied_lyr + ";" + polygon_fc, output_intersect_fc)
polygon_list.append(output_intersect_fc)
elif record_count == 1:
log.debug(" - 1 watergang in peilgebied, opknippen dus niet nodig, kopieer gpg")
output_spatial_join = os.path.join(workspace, "voronoi_work", "out_sj_%s.shp" % counter)
gp.SpatialJoin_analysis(huidig_peilgebied_lyr, huidige_waterlijn_lyr, output_spatial_join)
polygon_list.append(output_spatial_join)
else:
log.warning(" - geen watergang aanwezig in peilgebied, peilgebied wordt in zijn geheel meegenomen")
polygon_list.append(huidig_peilgebied_lyr)
pass
#----------------------------------------------------------------------------------------
# Merge all polygons together
merge_str = ";".join(polygon_list)
fieldmappings = gp.createobject("FieldMappings")
fldmap_OVK_ID = gp.createobject("FieldMap")
for fc in polygon_list:
try:
fldmap_OVK_ID.AddInputField(fc, ovk_field)
except:
pass
fieldmappings.AddFieldMap(fldmap_OVK_ID)
if use_intersect_channel == 'true':
gp.Merge_management(merge_str, output_afvoervlakken_shp, fieldmappings)
else:
temp_merge_fc = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Merge_management(merge_str, temp_merge_fc, fieldmappings)
gp.dissolve_management(temp_merge_fc, output_afvoervlakken_shp, ovk_field)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase
shutil.rmtree(os.path.join(workspace, "voronoi_work"))
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main(options, args):
# Create the Geoprocessor object
gp = arcgisscripting.create()
gp.RefreshCatalog
gp.OverwriteOutput = 1
debuglogging()
#----------------------------------------------------------------------------------------
#create header for logfile
log.info("")
log.info("*********************************************************")
log.info("Calculate bottomwidth for channels (manning)")
log.info("This python script is developed by "
+ "Nelen & Schuurmans B.V. and is a part of 'Turtle'")
log.info(version)
log.debug('loading module (%s)' % __revision__)
log.info("*********************************************************")
log.info("arguments: %s" %(sys.argv))
log.info("")
#----------------------------------------------------------------------------------------
# Check the settings for this script
check_ini = turtlebase.general.missing_keys(options.ini, ["<vul hier de keys in uit de ini file>"])
if len(check_ini) > 0:
log.error("missing keys in turtle-settings.ini file (header %s)" % NAME_SCRIPT)
log.error(check_ini)
sys.exit(1)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = options.turtle_ini['location_temp']
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
# Input parameters
"""
nodig voor deze tool:
"""
for argv in sys.argv[1:]:
turtlebase.filenames.check_filename(argv)
if len(sys.argv) == 7:
input_channels = sys.argv[1]
gauckler_manning_coefficient = sys.argv[2] #1 / 22.5 # n
conversion_constant = sys.argv[3] #1 # k
max_slope = sys.argv[4] #0.000021 # S
depth = sys.argv[5] #0.8 # d
talud = sys.argv[6] #2 # T
else:
log.error("usage: <argument1> <argument2>")
sys.exit(1)
#----------------------------------------------------------------------------------------
# Check geometry input parameters
log.info("Check geometry of input parameters")
geometry_check_list = []
log.debug(" - check <input >: %s" % argument1)
if not turtlebase.arcgis.is_file_of_type(gp, input_channels, 'Polyline'):
log.error("%s is not a %s feature class!" % (input_channels, 'Polyline'))
geometry_check_list.append("%s -> (%s)" % (input_channels, 'Polyline'))
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check required fields in input data
log.info("Check required fields in input data")
missing_fields = []
#<check required fields from input data, append them to list if missing>
check_fields = {}#check_fields = {input_1: [fieldname1, fieldname2], input_2: [fieldname1, fieldname2]}
for input_fc,fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(gp, input_channels, "OVKIDENT"):
errormsg = "fieldname %s not available in %s" % (fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Environments
#----------------------------------------------------------------------------------------
# uitlezen feature class
channel_values = nens.gp.get_table(gp, input_channels, primary_key='ovkident')
#wegschrijven feature class
turtlebase.arcgis.write_result_to_output(output_table, output_ident, result_dict)
#----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
log.info("*********************************************************")
log.info("Finished")
log.info("*********************************************************")
del gp
pass
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
#check inputfields
log.info("Getting commandline parameters... ")
#use_onderbemalingen = False
if len(sys.argv) == 6:
input_peilgebiedgegevens = sys.argv[1]
input_toetspunten = sys.argv[2]
input_resultaten = sys.argv[3]
output_table = sys.argv[4]
output_csv = sys.argv[5]
use_csv = not(output_csv == '#')
else:
log.error("Usage: python rural_naverwerking.py <peilvakgegevens table> <toetspunten_table> <resultaten_csv> <output_table> <output_csv>")
sys.exit(1)
#----------------------------------------------------------------------------------------
#check input parameters
log.info('Checking presence of input files... ')
if not(use_csv):
log.warning("no output has been defined, output will be written to temp workspace")
if not(gp.exists(input_toetspunten)):
log.error("input_toetspunten "+input_toetspunten+" does not exist!")
sys.exit(5)
if not(gp.exists(input_resultaten)):
log.error("input_resultaten "+input_resultaten+" does not exist!")
sys.exit(5)
log.info('input parameters checked... ')
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL','location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
log.info("A-1) Reading peilgebiedgegevens... ")
gpgident = config.get('GENERAL', 'gpgident')
peilgebied_dict = nens.gp.get_table(gp, input_peilgebiedgegevens, primary_key=gpgident.lower())
log.info("A-2) Converting toetspunten to csv")
toetspunten_csv = os.path.join(workspace, "nav_toets.csv")
nav_toetspunten = nens.gp.join_on_primary_key(gp, peilgebied_dict, input_toetspunten, gpgident.lower())
turtlebase.arcgis.convert_dict_to_csv(nav_toetspunten, toetspunten_csv)
log.info("A-3) Preparing hymstat csv")
hymstat_csv = os.path.join(workspace, "nav_hym.csv")
#turtlebase.arcgis.convert_table_to_csv(gp, input_resultaten, hymstat_csv)
shutil.copyfile(input_resultaten, hymstat_csv)
#prepare naverwerking ini file
log.info("B-1) Reading naverwerkingstool.ini... ")
location_script = os.path.dirname(sys.argv[0])
nav_config = mainutils.read_config(__file__, config.get('GENERAL', 'filename_naverwerking_ini'))
configfilename = os.path.join(location_script, config.get('GENERAL', 'filename_naverwerking_ini'))
nav_config.set('GENERAL', 'CSVTOETSPUNTEN', toetspunten_csv) #input_toetspunten
nav_config.set('GENERAL', 'CSVINPUT1', hymstat_csv)
#image output of naverkingstool will go to the same outputdir as the csv!! So if csv output is selected,
#we MUST use that output-csv as the intermediate csv too
if use_csv:
log.info(" - using csv")
if not output_csv.endswith('.csv'):
output_csv += '.csv'
nav_config.set('GENERAL', 'CSVOUTPUT1', output_csv)
else:
log.info(" - not using csv")
output_csv = os.path.join(workspace, "nav_output.csv")
nav_config.set('GENERAL', 'CSVOUTPUT1', output_csv)
nav_config.set('GENERAL', 'CSVINPUT2', '')
nav_config.set('GENERAL', 'CSVOUTPUT2', '')
configfile = open(configfilename, "wb")
nav_config.write(configfile)
configfile.close()
#----------------------------------------------------------------------------------------
#call naverwerkingstool
arguments = ""
#change working path to exe directory
os.chdir(location_script)
#execute external program gridbewerking
log.info("Naverwerking calculation")
import subprocess
naverwerking_exe = config.get('GENERAL', 'filename_naverwerking_exe')
child = subprocess.Popen(os.path.join(location_script, naverwerking_exe) + arguments)
child.wait()
log.info("naverwerking.exe succesfully executed")
"""
HIERONDER ALLES HERSCHRIJVEN
"""
#----------------------------------------------------------------------------------------
#post: write to database, table and/or csv
log.info("C-1) Reading output csv")
data_set = csv.DictReader(file(output_csv))
#name is same as key is nothing is given; key is columnname from csv
#alle velden die niet hier voorkomen, hoeven niet van naam worden veranderd en zijn van het type "long", precision 10, scale 5
naverwerkingFields = {\
gpgident: {"NAME": gpgident, "TYPE": "TEXT", "PRECISION": "10", "SCALE": "5", "LENGTH": "50"},\
"X0": {"NAME": "X0", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"B": {"NAME": "B", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_2": {"NAME": "WS_2", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_5": {"NAME": "WS_5", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_10": {"NAME": "WS_10", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_15": {"NAME": "WS_15", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_20": {"NAME": "WS_20", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_25": {"NAME": "WS_25", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_50": {"NAME": "WS_50", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"WS_100": {"NAME": "WS_100", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_I_S": {"NAME": "STA_TP_I_ST", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_I_H": {"NAME": "STA_TP_I_HL", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_I_A": {"NAME": "STA_TP_I_AK", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_I_G": {"NAME": "STA_TP_I_GR", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_O_S": {"NAME": "STA_TP_O_ST", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_O_H": {"NAME": "STA_TP_O_HL", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_O_A": {"NAME": "STA_TP_O_AK", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"STA_TP_O_G": {"NAME": "STA_TP_O_GR", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"T_I": {"NAME": "T_I", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"T_O": {"NAME": "T_O", "TYPE": "DOUBLE", "PRECISION": "10", "SCALE": "5"},\
"RSLT_Bron": {"NAME": "RSLT_Bron", "TYPE": "TEXT", "LENGTH": "50", "PRECISION": "10", "SCALE": "5"},\
"RSLT_Datum": {"NAME": "RSLT_Datum", "TYPE": "DATE", "PRECISION": "10", "SCALE": "5"},\
}
#convert columnnames in data_set
data_set_converted = {}
source_str = "hymstat: %s" % os.path.basename(input_resultaten)
if len(source_str) > 50:
source_str = source_str[:50]
import time
date_str = time.strftime('%x')
for row in data_set:
peilgebied_id = row['PEILVAKID']
data_set_converted[peilgebied_id] = {gpgident: peilgebied_id}
for key in row.keys():
if key in naverwerkingFields:
data_set_converted[peilgebied_id][naverwerkingFields[key]["NAME"]] = row[key]
data_set_converted[peilgebied_id]["RSLT_Bron"] = source_str
data_set_converted[peilgebied_id]["RSLT_Datum"] = date_str
#----------------------------------------------------------------------------------------
#check if output_table exists. if not, create with correct rows
log.info("C-2) Checking output table... ")
if not(gp.exists(output_table)):
gp.CreateTable(os.path.dirname(output_table), os.path.basename(output_table))
#----------------------------------------------------------------------------------------
#for key,row in naverwerkingFields.items():
# print row["NAME"]+" "+row["TYPE"]+" "+row["PRECISION"]+" "+row["SCALE"]
#check if output_table has the correct rows
log.info("C-3) Checking fields")
for field_name, field_settings in naverwerkingFields.items():
if not turtlebase.arcgis.is_fieldname(gp, output_table, field_settings['NAME']):
if field_settings['TYPE'] == 'DOUBLE':
gp.AddField(output_table, field_settings['NAME'], field_settings['TYPE'], field_settings['PRECISION'], field_settings['SCALE'])
elif field_settings['TYPE'] == 'TEXT':
gp.AddField(output_table, field_settings['NAME'], field_settings['TYPE'], '#', '#', field_settings['LENGTH'])
else:
gp.AddField(output_table, field_settings['NAME'], field_settings['TYPE'], field_settings['PRECISION'], field_settings['SCALE'])
# ---------------------------------------------------------------------------
#add data to file_output
turtlebase.arcgis.write_result_to_output(output_table, gpgident, data_set_converted)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
if os.path.isfile(toetspunten_csv):
os.remove(toetspunten_csv)
if os.path.isfile(hymstat_csv):
os.remove(hymstat_csv)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#---------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(
gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
# Input parameters
if len(sys.argv) == 11:
# input parameters
input_voronoi_polygon = sys.argv[1]
input_rrcf_waterlevel = sys.argv[2]
input_ahn_raster = sys.argv[3]
input_lgn_raster = sys.argv[4]
input_lgn_conversion = sys.argv[5]
# output parameters
output_result_table = sys.argv[6]
# optional output
output_inundation = sys.argv[7]
if output_inundation == "#":
output_inundation = os.path.join(workspace_gdb, "inun_nbw")
if len(os.path.basename(output_inundation)) > 13:
log.error("filename raster output (%s) cannot contain more than 13 characters" % os.path.basename(output_inundation))
sys.exit(1)
output_waterdamage = sys.argv[8]
if output_waterdamage == "#":
output_waterdamage = os.path.join(workspace_gdb, "damage_nbw")
if len(os.path.basename(output_waterdamage)) > 13:
log.error("filename raster output (%s) cannot contain more than 13 characters" % os.path.basename(output_waterdamage))
sys.exit(1)
output_inundation_total = sys.argv[9]
if len(os.path.basename(output_inundation_total)) > 13:
log.error("filename raster output (%s) cannot contain more than 13 characters" % os.path.basename(output_inundation_total))
sys.exit(1)
output_waterdamage_total = sys.argv[10]
if len(os.path.basename(output_waterdamage_total)) > 13:
log.error("filename raster output (%s) cannot contain more than 13 characters" % os.path.basename(output_waterdamage_total))
sys.exit(1)
else:
log.error("usage: <input_voronoi_polygon> <input_rrcf_waterlevel> <input_ahn_raster> \
<input_lgn_raster> <input_lgn_conversion> <output_result_table> \
<output_inundation> <output_waterdamage> <output inundation total> <output waterdamage total>")
sys.exit(1)
#----------------------------------------------------------------------------------------
temp_voronoi = os.path.join(workspace_gdb, "voronoi")
gp.select_analysis(input_voronoi_polygon, temp_voronoi)
# Check geometry input parameters
cellsize = gp.describe(input_ahn_raster).MeanCellHeight
log.info("Check geometry of input parameters")
geometry_check_list = []
if input_lgn_conversion != "#":
if not gp.exists(input_lgn_conversion):
errormsg = "%s does not exist" % input_lgn_conversion
log.error(errormsg)
geometry_check_list.append(errormsg)
log.debug(" - check voronoi polygon: %s" % temp_voronoi)
if gp.describe(temp_voronoi).ShapeType != 'Polygon':
log.error("Input voronoi is not a polygon feature class!")
geometry_check_list.append(temp_voronoi + " -> (Polygon)")
log.debug(" - check ahn raster %s" % input_ahn_raster)
if gp.describe(input_ahn_raster).DataType != 'RasterDataset':
log.error("Input AHN is not a raster dataset")
sys.exit(1)
if gp.describe(input_ahn_raster).PixelType[0] not in ['U', 'S']:
log.error("Input AHN is a floating point raster, for this script an integer is nessecary")
geometry_check_list.append(input_ahn_raster + " -> (Integer)")
log.debug(" - check lgn raster %s" % input_lgn_raster)
if gp.describe(input_lgn_raster).DataType != 'RasterDataset':
log.error("Input LGN is not a raster dataset")
sys.exit(1)
if gp.describe(input_lgn_raster).PixelType[0] not in ['U', 'S']:
log.error("Input LGN is a floating point raster, for this script an integer is nessecary")
geometry_check_list.append(input_lgn_raster + " -> (Integer)")
if gp.describe(input_lgn_raster).MeanCellHeight != float(cellsize):
log.error("Cell size of LGN is %s, must be %s" % (
gp.describe(input_lgn_raster).MeanCellHeight, cellsize))
geometry_check_list.append(input_lgn_raster + " -> (Cellsize %s)" % cellsize)
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#----------------------------------------------------------------------------------------
# Check required fields in database
log.info("Check required fields in input data")
# create return period list
return_periods = config.get('naverwerking_rrcf', 'herhalingstijden').split(", ")
log.debug(" - return periods: %s" % return_periods)
missing_fields = []
for return_period in return_periods:
if not turtlebase.arcgis.is_fieldname(gp, input_rrcf_waterlevel, "WS_%s" % return_period):
log.debug(" - missing: %s in %s" % ("WS_%s" % return_period, input_rrcf_waterlevel))
missing_fields.append("%s: %s" % (input_rrcf_waterlevel, "WS_%s" % return_period))
#<check required fields from input data, append them to list if missing>"
field_streefpeil = config.get('naverwerking_rrcf', 'field_streefpeil')
check_fields = {input_rrcf_waterlevel: [config.get('naverwerking_rrcf', 'calculation_point_ident'), field_streefpeil]}
if input_lgn_conversion != "#":
check_fields[input_lgn_conversion] = [config.get('naverwerking_rrcf', 'lgn_conv_ident'),
config.get('naverwerking_rrcf', 'input_field_k5')]
for input_fc, fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(gp, input_fc, fieldname):
errormsg = "fieldname %s not available in %s" % (fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#---------------------------------------------------------------------
# Environments
log.info("Set environments")
gp.extent = gp.describe(temp_voronoi).extent # use extent from LGN
#---------------------------------------------------------------------
# read waterlevel table as a dictionary
log.info("Read waterlevel table")
waterlevel_dict = nens.gp.get_table(gp, input_rrcf_waterlevel, primary_key=config.get('naverwerking_rrcf', 'calculation_point_ident').lower())
log.debug(waterlevel_dict)
# Add fields to output
for return_period in return_periods:
if not turtlebase.arcgis.is_fieldname(gp, temp_voronoi, "WS_%s" % return_period):
log.info(" - add field WS_%s" % return_period)
gp.addfield(temp_voronoi, "WS_%s" % return_period, "double")
if not turtlebase.arcgis.is_fieldname(gp, temp_voronoi, field_streefpeil):
log.info(" - add field %s" % field_streefpeil)
gp.addfield(temp_voronoi, field_streefpeil, "double")
# copy waterlevel to voronoi polygons
rows = gp.UpdateCursor(temp_voronoi)
for row in nens.gp.gp_iterator(rows):
row_id = row.GetValue(config.get('naverwerking_rrcf', 'calculation_point_ident'))
if row_id in waterlevel_dict:
log.debug(waterlevel_dict[row_id])
for return_period in return_periods:
row.SetValue("WS_%s" % return_period, waterlevel_dict[row_id]['ws_%s' % return_period])
row.SetValue(field_streefpeil,
waterlevel_dict[row_id][field_streefpeil.lower()])
rows.UpdateRow(row)
#---------------------------------------------------------------------
# Create waterlevel rasters
log.info("Create rasters for waterlevels")
for return_period in return_periods:
log.info(" - create raster for ws_%s" % return_period)
out_raster_dataset = workspace_gdb + "/ws_%s" % return_period
gp.FeatureToRaster_conversion(temp_voronoi, "WS_%s" % return_period, out_raster_dataset, cellsize)
#---------------------------------------------------------------------
# Create target level raster
log.info("Create targetlevel raster")
out_raster_targetlevel = os.path.join(workspace_gdb, "targetlv")
gp.FeatureToRaster_conversion(temp_voronoi, field_streefpeil, out_raster_targetlevel, cellsize)
#---------------------------------------------------------------------
# Create freeboard raster
log.info("Create freeboard raster")
# create ahn ascii
ahn_ascii = os.path.join(workspace, "ahn.asc")
log.debug("ahn ascii: %s" % ahn_ascii)
gp.RasterToASCII_conversion(input_ahn_raster, ahn_ascii)
targetlevel_ascii = os.path.join(workspace, "targetlvl.asc")
log.debug("targetlevel ascii: %s" % targetlevel_ascii)
gp.RasterToASCII_conversion(out_raster_targetlevel, targetlevel_ascii)
freeboard_ascii = os.path.join(workspace, "freeboard.asc")
turtlebase.spatial.create_freeboard_raster(ahn_ascii, targetlevel_ascii, freeboard_ascii)
#----------------------------------------------------------------------------------------
# Create K5 LGN
log.info("Reclass LGN to K5 raster")
lgn_ascii = os.path.join(workspace, "lgn.asc")
lgn_k5_ascii = os.path.join(workspace, "lgn_k5.asc")
gp.RasterToASCII_conversion(input_lgn_raster, lgn_ascii)
if input_lgn_conversion != '#':
reclass_dict = nens.gp.get_table(gp, input_lgn_conversion,
primary_key=config.get('naverwerking_rrcf', 'lgn_conv_ident').lower())
turtlebase.spatial.reclass_lgn_k5(lgn_ascii, lgn_k5_ascii, reclass_dict)
else:
turtlebase.spatial.reclass_lgn_k5(lgn_ascii, lgn_k5_ascii)
#----------------------------------------------------------------------------------------
# Create inundation raster
# als ws_ > ahn, dan inundatie
inundation_raster_list = []
inundation_total_raster_list = []
log.info("Create inundation rasters")
# inundatie stedelijk
return_period_urban = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_stedelijk')
if config.get('naverwerking_rrcf', 'percentage_inundatie_stedelijk') != "-":
log.info(" - create inundation urban")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_urban)
if gp.exists(waterlevel):
inundation_urban = os.path.join(workspace, "inun_urban.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel, 1,
return_period_urban, inundation_urban, workspace, use_lgn=True)
inundation_raster_list.append(inundation_urban)
if output_inundation_total != '#':
# Inundation without lgn
inundation_total_urban = os.path.join(workspace, "inun_total_urban.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
1, return_period_urban, inundation_total_urban, workspace, use_lgn=False)
inundation_total_raster_list.append(inundation_total_urban)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# inundatie hoogwaardige landbouw
return_period_agriculture = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_hoogwaardig')
if config.get('naverwerking_rrcf', 'percentage_inundatie_hoogwaardig') != "-":
log.info(" - create inundation agriculture")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_agriculture)
if gp.exists(waterlevel):
# Inundation with lgn
inundation_agriculture = os.path.join(workspace, "inun_agri.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
2, return_period_agriculture, inundation_agriculture, workspace, use_lgn=True)
inundation_raster_list.append(inundation_agriculture)
if output_inundation_total != '#':
# Inundation without lgn
inundation_total_agriculture = os.path.join(workspace, "inun_total_agri.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
2, return_period_agriculture, inundation_total_agriculture, workspace, use_lgn=False)
inundation_total_raster_list.append(inundation_total_agriculture)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# inundatie akkerbouw
return_period_rural = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_akker')
if config.get('naverwerking_rrcf', 'percentage_inundatie_akker') != "-":
log.info(" - create inundation rural")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_rural)
if gp.exists(waterlevel):
inundation_rural = os.path.join(workspace, "inun_rural.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
3, return_period_rural, inundation_rural, workspace, use_lgn=True)
inundation_raster_list.append(inundation_rural)
if output_inundation_total != '#':
# Inundation without lgn
inundation_total_rural = os.path.join(workspace, "inun_total_rural.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
3, return_period_rural, inundation_total_rural, workspace, use_lgn=False)
inundation_total_raster_list.append(inundation_total_rural)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# inundatie grasland
return_period_grass = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_grasland')
if config.get('naverwerking_rrcf', 'percentage_inundatie_grasland') != "-":
log.info(" - create inundation grass")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_grass)
if gp.exists(waterlevel):
log.debug("waterlevel grasland = %s" % waterlevel)
inundation_grass = os.path.join(workspace, "inun_grass.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
4, return_period_grass, inundation_grass, workspace, use_lgn=True)
inundation_raster_list.append(inundation_grass)
if output_inundation_total != '#':
# Inundation without lgn
inundation_total_grass = os.path.join(workspace, "inun_total_grass.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
4, return_period_grass, inundation_total_grass, workspace, use_lgn=False)
inundation_total_raster_list.append(inundation_total_grass)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
if len(inundation_raster_list) > 1:
log.info("Merge inundation rasters")
output_inundation_exists = turtlebase.spatial.merge_ascii(inundation_raster_list, output_inundation, workspace)
else:
log.error("there are no inundation rasters available")
if len(inundation_total_raster_list) > 1:
log.info("Merge inundation total rasters")
turtlebase.spatial.merge_ascii(inundation_total_raster_list, output_inundation_total, workspace)
#----------------------------------------------------------------------------------------
# Create waterdamage raster
# als ws_ > freeboard, dan overlast
damage_raster_list = []
damage_total_raster_list = []
log.info("Create waterdamage rasters")
# overlast stedelijk
return_period_urban_damage = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_stedelijk')
if config.get('naverwerking_rrcf', 'percentage_overlast_stedelijk') != "-":
log.info(" - create waterdamage urban")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_urban_damage)
if gp.exists(waterlevel):
damage_urban = os.path.join(workspace, "damage_urban.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, freeboard_ascii, waterlevel,
1, return_period_urban_damage, damage_urban, workspace, use_lgn=True)
damage_raster_list.append(damage_urban)
if output_waterdamage_total != '#':
# Waterdamage without lgn
damage_total_urban = os.path.join(workspace, "damage_total_urban.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
1, return_period_urban_damage, damage_total_urban, workspace, use_lgn=False)
damage_total_raster_list.append(damage_total_urban)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# overlast hoogwaardig
return_period_agriculture_damage = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_hoogwaardig')
if config.get('naverwerking_rrcf', 'percentage_overlast_hoogwaardig') != "-":
log.info(" - create waterdamage agriculture")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_agriculture_damage)
if gp.exists(waterlevel):
damage_agriculture = workspace + "/damage_agri_%s.asc" % return_period_agriculture_damage
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, freeboard_ascii, waterlevel,
2, return_period_agriculture_damage, damage_agriculture, workspace, use_lgn=True)
damage_raster_list.append(damage_agriculture)
if output_waterdamage_total != '#':
# Waterdamage without lgn
damage_total_agriculture = os.path.join(workspace, "damage_total_agri.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
1, return_period_agriculture_damage, damage_total_agriculture, workspace, use_lgn=False)
damage_total_raster_list.append(damage_total_agriculture)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# overlast akker
return_period_rural_damage = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_akker')
if config.get('naverwerking_rrcf', 'percentage_overlast_akker') != "-":
log.info(" - create waterdamage rural")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_rural_damage)
if gp.exists(waterlevel):
damage_rural = workspace + "/damage_rural_%s.asc" % return_period_rural_damage
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, freeboard_ascii, waterlevel,
3, return_period_rural_damage, damage_rural, workspace, use_lgn=True)
damage_raster_list.append(damage_rural)
if output_waterdamage_total != '#':
# Waterdamage without lgn
damage_total_rural = os.path.join(workspace_gdb, "damage_total_rural.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
1, return_period_rural_damage, damage_total_rural, workspace, use_lgn=False)
damage_total_raster_list.append(damage_total_rural)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# overlast grasland
return_period_grass_damage = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_grasland')
if config.get('naverwerking_rrcf', 'percentage_overlast_grasland') != "-":
log.info(" - create waterdamage grass")
waterlevel = "%s/ws_%s" % (workspace_gdb, return_period_grass_damage)
if gp.exists(waterlevel):
damage_grass = os.path.join(workspace_gdb, "damage_grass.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, freeboard_ascii, waterlevel,
4, return_period_grass_damage, damage_grass, workspace, use_lgn=True)
damage_raster_list.append(damage_grass)
if output_waterdamage_total != '#':
# Waterdamage without lgn
damage_total_grass = os.path.join(workspace_gdb, "damage_total_grass.asc")
turtlebase.spatial.create_inundation_raster(lgn_k5_ascii, ahn_ascii, waterlevel,
1, return_period_grass_damage, damage_total_grass, workspace, use_lgn=False)
damage_total_raster_list.append(damage_total_grass)
else:
log.error("%s does not exists! check ini-file and tempfolder" % waterlevel)
# Merge waterdamage rasters
if len(damage_raster_list) > 1:
log.info("Merge waterdamage rasters")
output_waterdamage_exists = turtlebase.spatial.merge_ascii(damage_raster_list, output_waterdamage, workspace)
else:
log.error("there are no waterdamage rasters available")
if len(damage_total_raster_list) > 1:
log.info("Merge waterdamage total rasters")
turtlebase.spatial.merge_ascii(damage_total_raster_list, output_waterdamage_total, workspace)
#----------------------------------------------------------------------------------------
# calculate percentage inundation
"""
input:
- inundatie / overlast (raster dataset)
- input_voronoi_polygon (met GPGIDENT) (feature class)
- lgn_k5 (raster dataset)
"""
gpgident_field = config.get('General', 'gpgident')
# dissolve voronoi based on gpgident
log.debug("dissolve voronoi polygons, based on gpgident")
temp_fc_gpgident = os.path.join(workspace_gdb, "temp_fc_gpgident")
gp.Dissolve_management(temp_voronoi, temp_fc_gpgident, gpgident_field)
# Calculate area total, gpgident
if not turtlebase.arcgis.is_fieldname(gp, temp_fc_gpgident, "area_total"):
gp.addfield(temp_fc_gpgident, "area_total", "Double")
turtlebase.arcgis.calculate_area(gp, temp_fc_gpgident, "area_total")
gpgident_dict = nens.gp.get_table(gp, temp_fc_gpgident, primary_key=gpgident_field.lower())
log.debug("gpgident_dict: %s" % gpgident_dict)
# create feature class from lgn k5 ascii
output_reclass_lgn = os.path.join(workspace_gdb, "reclass_lgn")
gp.ASCIIToRaster_conversion(lgn_k5_ascii, output_reclass_lgn)
temp_fc_lgn = os.path.join(workspace_gdb, "fc_lgn")
gp.RasterToPolygon_conversion(output_reclass_lgn, temp_fc_lgn, "NO_SIMPLIFY")
# union lgn with gpg-areas
temp_fc_union_lgn = os.path.join(workspace_gdb, "fc_union_lgn")
gp.Union_analysis(temp_fc_gpgident + ";" + temp_fc_lgn, temp_fc_union_lgn)
dissolve_lyr = turtlebase.arcgis.get_random_layer_name()
gp.MakeFeatureLayer_management(temp_fc_union_lgn, dissolve_lyr, "%s <> ''" % gpgident_field)
temp_fc_dissolve_lgn = os.path.join(workspace_gdb, "dissolve_lgn")
if turtlebase.arcgis.is_fieldname(gp, dissolve_lyr, "GRIDCODE"):
gp.Dissolve_management(dissolve_lyr, temp_fc_dissolve_lgn, "%s; GRIDCODE" % gpgident_field)
gridcode = "gridcode"
elif turtlebase.arcgis.is_fieldname(gp, dissolve_lyr, "grid_code"):
gp.Dissolve_management(dissolve_lyr, temp_fc_dissolve_lgn, "%s; grid_code" % gpgident_field)
gridcode = "grid_code"
else:
log.error("no field GRIDCODE or grid_code available in %s" % dissolve_lyr)
sys.exit(2)
# Calculate area lgn
if not turtlebase.arcgis.is_fieldname(gp, temp_fc_dissolve_lgn, "area_lgn"):
gp.addfield(temp_fc_dissolve_lgn, "area_lgn", "Double")
turtlebase.arcgis.calculate_area(gp, temp_fc_dissolve_lgn, "area_lgn")
lgn_dict = nens.gp.get_table(gp, temp_fc_dissolve_lgn)
translate_lgn_dict = translate_dict(lgn_dict, gridcode, 'area_lgn')
log.debug("translate_lgn_dict: %s" % translate_lgn_dict)
# Create feature class from inundation_grid
""" values: 10, 25, 50, 100"""
if output_inundation_exists == 0:
temp_fc_inundation = os.path.join(workspace_gdb, "inundation")
log.info(output_inundation)
gp.RasterToPolygon_conversion(output_inundation, temp_fc_inundation, "NO_SIMPLIFY")
temp_fc_union_inundation = os.path.join(workspace_gdb, "union_inun")
gp.Union_analysis(temp_fc_dissolve_lgn + ";" + temp_fc_inundation, temp_fc_union_inundation)
dissolve_inundation_lyr = turtlebase.arcgis.get_random_layer_name()
if turtlebase.arcgis.is_fieldname(gp, temp_fc_union_inundation, "GRIDCODE_1"):
gp.MakeFeatureLayer_management(temp_fc_union_inundation, dissolve_inundation_lyr, "GRIDCODE_1 > 0")
gridcode_1 = "gridcode_1"
elif turtlebase.arcgis.is_fieldname(gp, temp_fc_union_inundation, "GRID_CODE1"):
gp.MakeFeatureLayer_management(temp_fc_union_inundation, dissolve_inundation_lyr, "GRID_CODE1 > 0")
gridcode_1 = "grid_code1"
elif turtlebase.arcgis.is_fieldname(gp, temp_fc_union_inundation, "GRID_CODE_1"):
gp.MakeFeatureLayer_management(temp_fc_union_inundation, dissolve_inundation_lyr, "GRID_CODE_1 > 0")
gridcode_1 = "grid_code_1"
else:
log.error("No field available named gridcode_1 or grid_code1")
log.warning(nens.gp.get_table_def(gp, temp_fc_union_inundation))
sys.exit(1)
temp_fc_dissolve_inundation = os.path.join(workspace_gdb, "dissolve_inun")
dissolve_string = "%s;%s;%s" % (gpgident_field.upper(), gridcode, gridcode_1)
log.debug(" - dissolve layer: %s" % dissolve_inundation_lyr)
gp.Dissolve_management(dissolve_inundation_lyr, temp_fc_dissolve_inundation, dissolve_string)
# Calculate area inundation
if not turtlebase.arcgis.is_fieldname(gp, temp_fc_dissolve_inundation, "area_inund"):
gp.addfield(temp_fc_dissolve_inundation, "area_inun", "Double")
turtlebase.arcgis.calculate_area(gp, temp_fc_dissolve_inundation, "area_inun")
inundation_dict = nens.gp.get_table(gp, temp_fc_dissolve_inundation)
translate_inundation_dict = translate_dict(inundation_dict, gridcode_1, 'area_inun')
log.debug("translate_inundation_dict: %s" % translate_inundation_dict)
else:
translate_inundation_dict = {}
# Create feature class from waterdamage grid
""" values: 10, 15, 25"""
if output_waterdamage_exists == 0:
try:
temp_fc_waterdamage = os.path.join(workspace_gdb, "damage")
gp.RasterToPolygon_conversion(output_waterdamage, temp_fc_waterdamage, "NO_SIMPLIFY")
waterdamage = True
except:
log.warning("waterdamage raster is empty")
waterdamage = False
if waterdamage:
temp_fc_union_waterdamage = os.path.join(workspace_gdb, "damage_union")
gp.Union_analysis(temp_fc_dissolve_lgn + ";" + temp_fc_waterdamage, temp_fc_union_waterdamage)
dissolve_waterdamage_lyr = turtlebase.arcgis.get_random_layer_name()
gp.MakeFeatureLayer_management(temp_fc_union_waterdamage, dissolve_waterdamage_lyr, "%s > 0" % gridcode_1)
temp_fc_dissolve_waterdamage = os.path.join(workspace_gdb, "dissolve_damage")
gp.Dissolve_management(dissolve_waterdamage_lyr, temp_fc_dissolve_waterdamage, "%s; %s; %s" % (gpgident_field, gridcode, gridcode_1))
# Calculate area waterdamage
if not turtlebase.arcgis.is_fieldname(gp, temp_fc_dissolve_waterdamage, "area_damag"):
gp.addfield(temp_fc_dissolve_waterdamage, "area_damag", "Double")
turtlebase.arcgis.calculate_area(gp, temp_fc_dissolve_waterdamage, "area_damag")
waterdamage_dict = nens.gp.get_table(gp, temp_fc_dissolve_waterdamage)
translate_waterdamage_dict = translate_dict(waterdamage_dict, gridcode_1, 'area_damag')
log.debug("translate_waterdamage_dict: %s" % translate_waterdamage_dict)
else:
translate_waterdamage_dict = {}
else:
translate_waterdamage_dict = {}
no_data_value = float(config.get('naverwerking_rrcf', 'no_data_value'))
result_dict = {}
log.info("Calculating results")
for gpgident, fields in gpgident_dict.items():
# area_total
#area_total = fields['area_total']
#set defaults
percentage_inundation_urban = no_data_value
percentage_inundation_agriculture = no_data_value
percentage_inundation_rural = no_data_value
percentage_inundation_grass = no_data_value
toetsing_inundation_urban = 9
toetsing_inundation_agriculture = 9
toetsing_inundation_rural = 9
toetsing_inundation_grass = 9
percentage_waterdamage_urban = no_data_value
percentage_waterdamage_agriculture = no_data_value
percentage_waterdamage_rural = no_data_value
percentage_waterdamage_grass = no_data_value
toetsing_waterdamage_urban = 9
toetsing_waterdamage_agriculture = 9
toetsing_waterdamage_rural = 9
toetsing_waterdamage_grass = 9
if gpgident in translate_inundation_dict:
log.debug("Calculate percentage inundation for %s" % gpgident)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_stedelijk')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_inundatie_stedelijk')
toetsing_inundation_urban, percentage_inundation_urban = calculate_toetsing(translate_inundation_dict,
gpgident, 1, translate_lgn_dict,
hhtijd, toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_hoogwaardig')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_inundatie_hoogwaardig')
toetsing_inundation_agriculture, percentage_inundation_agriculture = calculate_toetsing(translate_inundation_dict,
gpgident, 2, translate_lgn_dict,
hhtijd, toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_akker')
toetsing_perc = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_akker')
toetsing_inundation_rural, percentage_inundation_rural = calculate_toetsing(translate_inundation_dict, gpgident,
3, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_inundatie_grasland')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_inundatie_grasland')
toetsing_inundation_grass, percentage_inundation_grass = calculate_toetsing(translate_inundation_dict, gpgident,
4, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
if gpgident in translate_waterdamage_dict:
log.debug("Calculate percentage waterdamage for %s" % gpgident)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_stedelijk')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_overlast_stedelijk')
toetsing_waterdamage_urban, percentage_waterdamage_urban = calculate_toetsing(translate_inundation_dict, gpgident,
1, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_hoogwaardig')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_overlast_hoogwaardig')
toetsing_waterdamage_agriculture, percentage_waterdamage_agriculture = calculate_toetsing(translate_inundation_dict, gpgident,
2, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_akker')
toetsing_perc = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_akker')
toetsing_inundation_rural, percentage_waterdamage_rural = calculate_toetsing(translate_inundation_dict, gpgident,
3, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
hhtijd = config.get('naverwerking_rrcf', 'herhalingstijd_overlast_grasland')
toetsing_perc = config.get('naverwerking_rrcf', 'percentage_overlast_grasland')
toetsing_inundation_grass, percentage_waterdamage_grass = calculate_toetsing(translate_inundation_dict, gpgident,
4, translate_lgn_dict, hhtijd,
toetsing_perc, no_data_value)
result_dict[gpgident] = {
gpgident_field: gpgident,
config.get('naverwerking_rrcf',
'field_percentage_inundatie_stedelijk'):
percentage_inundation_urban,
config.get('naverwerking_rrcf',
'field_percentage_inundatie_hoogwaardig'):
percentage_inundation_agriculture,
config.get('naverwerking_rrcf',
'field_percentage_inundatie_akker'):
percentage_inundation_rural,
config.get('naverwerking_rrcf',
'field_percentage_inundatie_grasland'):
percentage_inundation_grass,
config.get('naverwerking_rrcf',
'field_percentage_overlast_stedelijk'):
percentage_waterdamage_urban,
config.get('naverwerking_rrcf',
'field_percentage_overlast_hoogwaardig'):
percentage_waterdamage_agriculture,
config.get('naverwerking_rrcf',
'field_percentage_overlast_akker'):
percentage_waterdamage_rural,
config.get('naverwerking_rrcf',
'field_percentage_overlast_grasland'):
percentage_waterdamage_grass,
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_stedelijk'):
toetsing_inundation_urban,
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_hoogwaardig'):
toetsing_inundation_agriculture,
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_akker'):
toetsing_inundation_rural,
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_grasland'):
toetsing_inundation_grass,
config.get('naverwerking_rrcf',
'field_toetsing_overlast_stedelijk'):
toetsing_waterdamage_urban,
config.get('naverwerking_rrcf',
'field_toetsing_overlast_hoogwaardig'):
toetsing_waterdamage_agriculture,
config.get('naverwerking_rrcf',
'field_toetsing_overlast_akker'):
toetsing_waterdamage_rural,
config.get('naverwerking_rrcf',
'field_toetsing_overlast_grasland'):
toetsing_waterdamage_grass,
}
#---------------------------------------------------------------------
# Create output table
if not gp.exists(output_result_table):
log.info("Create new output table")
temp_result_table = os.path.join(workspace_gdb, "result_table")
gp.CreateTable_management(os.path.dirname(temp_result_table), os.path.basename(temp_result_table))
copy_table = True
else:
temp_result_table = output_result_table
copy_table = False
fields_to_add = [config.get('naverwerking_rrcf',
'field_percentage_inundatie_stedelijk'),
config.get('naverwerking_rrcf',
'field_percentage_inundatie_hoogwaardig'),
config.get('naverwerking_rrcf',
'field_percentage_inundatie_akker'),
config.get('naverwerking_rrcf',
'field_percentage_inundatie_grasland'),
config.get('naverwerking_rrcf',
'field_percentage_overlast_stedelijk'),
config.get('naverwerking_rrcf',
'field_percentage_overlast_hoogwaardig'),
config.get('naverwerking_rrcf',
'field_percentage_overlast_akker'),
config.get('naverwerking_rrcf',
'field_percentage_overlast_grasland'),
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_stedelijk'),
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_hoogwaardig'),
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_akker'),
config.get('naverwerking_rrcf',
'field_toetsing_inundatie_grasland'),
config.get('naverwerking_rrcf',
'field_toetsing_overlast_stedelijk'),
config.get('naverwerking_rrcf',
'field_toetsing_overlast_hoogwaardig'),
config.get('naverwerking_rrcf',
'field_toetsing_overlast_akker'),
config.get('naverwerking_rrcf',
'field_toetsing_overlast_grasland')]
if not turtlebase.arcgis.is_fieldname(gp, temp_result_table, gpgident_field):
log.debug(" - add field %s to %s" % (gpgident_field, temp_result_table))
gp.addfield_management(temp_result_table, gpgident_field, 'text')
for field in fields_to_add:
if not turtlebase.arcgis.is_fieldname(gp, temp_result_table, field):
log.debug(" - add field %s to %s" % (field, temp_result_table))
gp.addfield_management(temp_result_table, field, 'double')
#----------------------------------------------------------------------------------------
# Write results to output table
log.info("Write results to output table")
turtlebase.arcgis.write_result_to_output(temp_result_table, gpgident_field.lower(), result_dict)
if copy_table == True:
gp.TableToTable_conversion(temp_result_table, os.path.dirname(output_result_table), os.path.basename(output_result_table))
#---------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
tempfiles = os.listdir(workspace)
for tempfile in tempfiles:
if tempfile.endswith('.asc'):
try:
os.remove(os.path.join(workspace, tempfile))
except Exception, e:
log.debug(e)
mainutils.log_footer()
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#---------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(
gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#---------------------------------------------------------------------
# Input parameters
"""
nodig voor deze tool:
"""
tempfiles = []
if len(sys.argv) == 6:
input_hydrovak = sys.argv[1]
optional_area = sys.argv[2][:10]
output_shapefile = sys.argv[3]
optional_bottleneck_points = sys.argv[4]
optional_terminal_points = sys.argv[5]
else:
log.warning("usage: <input_hydrovak> <output_shapefile> <optional_bottleneck_points> <optional_terminal_points> <optional_area>")
sys.exit(1)
tolerance_points = float(config.get('netwerkanalyse', 'tolerance_points'))
input_shapefile = turtlebase.arcgis.get_random_file_name(workspace , ".shp")
tempfiles.append(input_shapefile)
gp.select_analysis(input_hydrovak, input_shapefile)
#---------------------------------------------------------------------
# Check required fields in input data
ovk_field = config.get('general', 'ovkident')
if not turtlebase.arcgis.is_fieldname(gp, input_shapefile, "ovkident"):
errormsg = "fieldname %s not available in %s" % (
"ovkident", input_shapefile)
log.error(errormsg)
#---------------------------------------------------------------------
# add from and to coordinates
update_to_and_from_coordinates(gp, input_shapefile, ovk_field)
network_data = read_table(gp, config, input_shapefile, optional_area)
g = turtlebase.network.import_dbf_into_graph(config, network_data,
tolerance_points, optional_area)
turtlebase.network.let_it_stream(g)
#create output:
fields_to_add = [('incoming', 'SHORT'),
('examined', 'SHORT'),
('terminal', 'SHORT'),
('som_oppvl', 'DOUBLE'),
('bottleneck', 'SHORT'),
('flip', 'SHORT')]
gp.select_analysis(input_shapefile, output_shapefile)
#fields_to_add = {'incoming':"SHORT",'examined':"SHORT",'terminal':"SHORT", 'cum_urban':"DOUBLE", 'cum_rural':"DOUBLE", 'bottleneck':"SHORT", 'flip':"SHORT"} #'ovkident':"TEXT",
for field_to_add in fields_to_add:
field_name = field_to_add[0]
field_type = field_to_add[1]
if turtlebase.arcgis.is_fieldname(gp, output_shapefile, field_name):
gp.DeleteField_management(output_shapefile, field_name)
gp.AddField_management(output_shapefile, field_name, field_type)
log.info("Adding field %s" % field_name)
else:
gp.AddField_management(output_shapefile, field_name, field_type)
log.info("Adding field %s" % field_name)
turtlebase.network.save_result_shapefile(gp, config, g, output_shapefile)
log.info("Recognizing bottlenecks")
log.debug("create field to store bottlenecks")
row = gp.UpdateCursor(output_shapefile)
for item in nens.gp.gp_iterator(row):
examined = item.getValue(config.get('netwerkanalyse', 'examined'))
incoming = item.getValue(config.get('netwerkanalyse', 'incoming'))
terminal = item.getValue(config.get('netwerkanalyse', 'terminal'))
if terminal == 1 and examined == 0:
item.SetValue(config.get('netwerkanalyse', 'bottleneck'), incoming)
if incoming > 1 and examined == 0:
item.SetValue(config.get('netwerkanalyse', 'bottleneck'), incoming)
row.UpdateRow(item)
# als de gebruiker heeft aangegeven de terminal points als puntenbestand te hebben
# moeten eerst de begin x en begin y worden opgeslagen in een dictionary. daarvan
# kan dan een puntenbestand gemaakt worden met functie
if optional_bottleneck_points != '#':
temp_shape = turtlebase.arcgis.get_random_file_name(workspace , ".shp")
tempfiles.append(temp_shape)
log.info("Creating bottleneck points file")
create_point_file_from_polyline(gp, config, output_shapefile, temp_shape, 'bottlenecks')
gp.Select_analysis(temp_shape, optional_bottleneck_points)
# als de gebruiker heeft aangegeven de terminal points als puntenbestand te hebben
# moeten eerst de begin x en begin y worden opgeslagen in een dictionary. daarvan
# kan dan een puntenbestand gemaakt worden met functie
if optional_terminal_points != "#":
temp_shape2 = turtlebase.arcgis.get_random_file_name(workspace , ".shp")
tempfiles.append(temp_shape2)
log.info("Creating terminal points file")
create_point_file_from_polyline(gp, config, output_shapefile, temp_shape2, 'terminals')
gp.Select_analysis(temp_shape2, optional_terminal_points)
#---------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
turtlebase.arcgis.remove_tempfiles(gp, log, tempfiles)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
#check inputfields
log.info("Getting commandline parameters")
if len(sys.argv) == 5:
input_peilgebieden_feature = sys.argv[1]
input_kunstwerken_feature = sys.argv[2]
input_afvoer_table = sys.argv[3]
output_feature = sys.argv[4]
else:
log.error("Usage: python rural_afvoerrelaties.py \
<peilgebieden feature> <kunstwerken feature> \
<afvoerrelaties table> <output feature>")
sys.exit(1)
#----------------------------------------------------------------------------------------
#check input parameters
gpgident = config.get('GENERAL', 'gpgident').lower()
kwkident = config.get('GENERAL', 'kwkident').lower()
log.info('Checking presence of input files')
if not(gp.exists(input_peilgebieden_feature)):
log.error("inputfile peilgebieden %s does not exist!" % input_peilgebieden_feature)
sys.exit(5)
if not(gp.exists(input_afvoer_table)):
log.error("inputfile afvoerrelaties %s does not exist!" % input_afvoer_table)
sys.exit(5)
log.info('Input parameters checked')
#----------------------------------------------------------------------------------------
log.info("Prepare input_peilgebieden_feature")
temp_peilgebieden_feature = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Select_analysis(input_peilgebieden_feature, temp_peilgebieden_feature)
add_centroids(gp, temp_peilgebieden_feature)
peilgebieden_dict = nens.gp.get_table(gp, temp_peilgebieden_feature, primary_key=gpgident)
if input_kunstwerken_feature != '#':
log.info("Prepare input_kunstwerken_feature")
temp_kunstwerken_feature = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Select_analysis(input_kunstwerken_feature, temp_kunstwerken_feature)
gp.addxy(temp_kunstwerken_feature)
kunstwerken_dict = nens.gp.get_table(gp, temp_kunstwerken_feature, primary_key=kwkident)
else:
kunstwerken_dict = {}
log.info("Reading input_afvoer_table")
relaties_dict = nens.gp.get_table(gp, input_afvoer_table, primary_key=kwkident)
log.info("Calculating afvoerrelaties")
afvoer_van = config.get('afvoerrelaties', 'input_peilg_from').lower()
afvoer_naar = config.get('afvoerrelaties', 'input_peilg_to').lower()
output_relations = {}
data_source = "pg: %s, kw: %s, rel: %s" % (os.path.basename(input_peilgebieden_feature),
os.path.basename(input_kunstwerken_feature),
os.path.basename(input_afvoer_table))
data_source = data_source[:50]
for relation, attributes in relaties_dict.items():
id_from = attributes[afvoer_van]
id_to = attributes[afvoer_naar]
item_id = "%s_%s" % (id_from, id_to)
coords = []
# get start coords
x1 = peilgebieden_dict[id_from]['point_x']
y1 = peilgebieden_dict[id_from]['point_y']
coords.append((x1, y1))
if relation in kunstwerken_dict:
x2 = kunstwerken_dict[relation]['point_x']
y2 = kunstwerken_dict[relation]['point_y']
coords.append((x2, y2))
if id_to in peilgebieden_dict:
x3 = peilgebieden_dict[id_to]['point_x']
y3 = peilgebieden_dict[id_to]['point_y']
else:
x3 = x1 + 10
y3 = y1 + 10
coords.append((x3, y3))
output_relations[item_id] = {"Relation_id": item_id, "From": id_from, "To": id_to,
"Structure": relation, "Source": data_source, "coords": coords}
#put new data in output_table
insert_count = draw_lines_from_dict(gp, output_relations, output_feature)
log.info(" - %s records has been inserted" % insert_count)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#---------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(
gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#---------------------------------------------------------------------
# check inputfields
log.info("Getting commandline parameters")
if len(sys.argv) == 8:
input_level_area_fc = sys.argv[1]
input_level_area_table = sys.argv[2]
input_ahn_raster = sys.argv[3]
input_lgn_raster = sys.argv[4]
input_lgn_conversion = sys.argv[5]
input_onderbemalingen = sys.argv[6]
if input_onderbemalingen == "#":
use_onderbemalingen = False
else:
use_onderbemalingen = True
output_file = sys.argv[7]
else:
log.error("Usage: python toetspuntenbepaling.py <ahn-file> \
<lgn-file> <onderbemalingen-optional> \
<peilgebieden-feature> <peilvakgegevens-table> \
<conversietabel> <outputfile-HydroBase>")
sys.exit(1)
#---------------------------------------------------------------------
# check input parameters
log.info('Checking presence of input files')
if not(gp.exists(input_level_area_fc)):
log.error("inputfile peilgebieden %s does not exist!",
input_level_area_fc)
sys.exit(5)
if not(gp.exists(input_level_area_table)):
log.error("inputfile peilvakgegevens %s does not exist!",
input_level_area_table)
sys.exit(5)
if (use_onderbemalingen and not(gp.exists(input_onderbemalingen))):
log.error("inputfile onderbemalingen %s does not exist!",
input_onderbemalingen)
sys.exit(5)
log.info('input parameters checked')
#---------------------------------------------------------------------
# Check geometry input parameters
cellsize = gp.describe(input_ahn_raster).MeanCellHeight
log.info("Check geometry of input parameters")
geometry_check_list = []
log.debug(" - check level area: %s" % input_level_area_fc)
if gp.describe(input_level_area_fc).ShapeType != 'Polygon':
errormsg = ("%s is not a polygon feature class!",
input_level_area_fc)
log.error(errormsg)
geometry_check_list.append(errormsg)
if turtlebase.arcgis.fc_is_not_empty(gp, input_level_area_fc):
errormsg = "input '%s' is empty" % input_level_area_fc
log.error(errormsg)
sys.exit(1)
if turtlebase.arcgis.fc_is_not_empty(gp, input_level_area_table):
errormsg = "input '%s' is empty" % input_level_area_table
log.error(errormsg)
sys.exit(1)
if use_onderbemalingen:
if turtlebase.arcgis.fc_is_not_empty(gp, input_onderbemalingen):
errormsg = "input '%s' is empty" % input_onderbemalingen
log.error(errormsg)
sys.exit(1)
log.debug(" - check ahn raster %s" % input_ahn_raster)
if gp.describe(input_ahn_raster).DataType != 'RasterDataset':
log.error("Input AHN is not a raster dataset")
sys.exit(1)
if gp.describe(input_ahn_raster).PixelType[0] not in ['U', 'S']:
errormsg = ("Input AHN is a floating point raster, \
for this script an integer is nessecary")
log.error(errormsg)
geometry_check_list.append(errormsg)
log.debug(" - check lgn raster %s" % input_lgn_raster)
if gp.describe(input_lgn_raster).DataType != 'RasterDataset':
log.error("Input LGN is not a raster dataset")
sys.exit(1)
if gp.describe(input_lgn_raster).PixelType[0] not in ['U', 'S']:
errormsg = ("Input LGN is a floating point raster, \
for this script an integer is nessecary")
log.error(errormsg)
geometry_check_list.append(errormsg)
if int(gp.describe(input_lgn_raster).MeanCellHeight) != int(cellsize):
errormsg = ("Cell size of LGN is %s, must be %s" % (
gp.describe(input_lgn_raster).MeanCellHeight,
int(cellsize)))
log.error(errormsg)
geometry_check_list.append(errormsg)
if len(geometry_check_list) > 0:
log.error("check input: %s" % geometry_check_list)
sys.exit(2)
#---------------------------------------------------------------------
# Check required fields in input data
log.info("Check required fields in input data")
gpgident = config.get('GENERAL', 'gpgident').lower()
streefpeil = config.get('toetspunten', 'field_streefpeil').lower()
missing_fields = []
# check required fields from input data, append them to list if missing
if not turtlebase.arcgis.is_fieldname(
gp, input_level_area_fc, gpgident):
log.debug(" - missing: %s in %s", (
gpgident, input_level_area_fc))
missing_fields.append("%s: %s", (
input_level_area_fc, gpgident))
if not turtlebase.arcgis.is_fieldname(
gp, input_level_area_table, gpgident):
log.debug(" - missing: %s in %s", (
gpgident, input_level_area_table))
missing_fields.append("%s: %s", (
input_level_area_table, gpgident))
if not turtlebase.arcgis.is_fieldname(
gp, input_level_area_table, streefpeil):
log.debug(" - missing: %s in %s", (
streefpeil, input_level_area_table))
missing_fields.append("%s: %s", (
input_level_area_table, streefpeil))
if len(missing_fields) > 0:
log.error("missing fields in input data: %s", missing_fields)
sys.exit(2)
#---------------------------------------------------------------------
# Environments
log.info("Set environments")
temp_level_area = os.path.join(workspace_gdb, "peilgebieden")
if input_level_area_fc.endswith(".shp"):
log.info("Copy features of level areas to workspace")
gp.select_analysis(input_level_area_fc, temp_level_area)
else:
log.info("Copy level areas to workspace")
gp.copy_management(input_level_area_fc, temp_level_area)
# use extent from level area
gp.extent = gp.describe(temp_level_area).extent
#---------------------------------------------------------------------
# Create K5 LGN
log.info("Translate LGN to NBW-classes")
lgn_ascii = turtlebase.arcgis.get_random_file_name(
workspace, ".asc")
lgn_k5_ascii = turtlebase.arcgis.get_random_file_name(
workspace, ".asc")
gp.RasterToASCII_conversion(input_lgn_raster, lgn_ascii)
lgn_ident = config.get('toetspunten', 'lgn_conv_ident')
if input_lgn_conversion != '#':
reclass_dict = nens.gp.get_table(gp, input_lgn_conversion,
primary_key=lgn_ident)
turtlebase.spatial.reclass_lgn_k5(
lgn_ascii, lgn_k5_ascii, reclass_dict)
else:
turtlebase.spatial.reclass_lgn_k5(lgn_ascii, lgn_k5_ascii)
#---------------------------------------------------------------------
# create ahn ascii
log.info("Create ascii from ahn")
ahn_ascii = turtlebase.arcgis.get_random_file_name(workspace, ".asc")
log.debug("ahn ascii: %s" % ahn_ascii)
gp.RasterToASCII_conversion(input_ahn_raster, ahn_ascii)
#---------------------------------------------------------------------
# Change ahn and lgn if use_ondermalingen == True
if use_onderbemalingen:
log.info("Cut out level deviations")
gridcode_fieldname = "GRIDCODE"
if not turtlebase.arcgis.is_fieldname(
gp, input_onderbemalingen, gridcode_fieldname):
log.debug(" - add field %s" % gridcode_fieldname)
gp.addfield_management(
input_onderbemalingen, gridcode_fieldname, "Short")
row = gp.UpdateCursor(input_onderbemalingen)
for item in nens.gp.gp_iterator(row):
item.SetValue(gridcode_fieldname, 1)
row.UpdateRow(item)
onderbemaling_raster = turtlebase.arcgis.get_random_file_name(
workspace_gdb)
gp.FeatureToRaster_conversion(
input_onderbemalingen, gridcode_fieldname,
onderbemaling_raster, cellsize)
onderbemaling_asc = turtlebase.arcgis.get_random_file_name(
workspace, ".asc")
gp.RasterToASCII_conversion(onderbemaling_raster,
onderbemaling_asc)
ahn_ascii = turtlebase.spatial.cut_out_onderbemaling(
ahn_ascii, onderbemaling_asc, workspace)
lgn_k5_ascii = turtlebase.spatial.cut_out_onderbemaling(
lgn_k5_ascii, onderbemaling_asc, workspace)
#---------------------------------------------------------------------
# Add ID Int to level area
log.info("Create level area ascii")
id_int = 'id_int'
area_id_dict = add_integer_ident(gp, temp_level_area,
id_int, gpgident)
out_raster_dataset = turtlebase.arcgis.get_random_file_name(
workspace_gdb)
gp.FeatureToRaster_conversion(temp_level_area, id_int,
out_raster_dataset, cellsize)
id_int_ascii = turtlebase.arcgis.get_random_file_name(
workspace, ".asc")
log.debug("id_int_ascii: %s" % id_int_ascii)
gp.RasterToASCII_conversion(out_raster_dataset, id_int_ascii)
#---------------------------------------------------------------------
log.info("Read targetlevel table")
area_level_dict = nens.gp.get_table(gp, input_level_area_table,
primary_key=gpgident)
target_level_dict = {}
for k, v in area_level_dict.items():
if k in area_id_dict:
int_id = area_id_dict[k][id_int]
target_level_dict[int_id] = {'targetlevel': v[streefpeil],
'gpgident': k}
toetspunten_fields = ["DFLT_I_ST", "DFLT_I_HL", "DFLT_I_AK",
"DFLT_I_GR", "DFLT_O_ST", "DFLT_O_HL",
"DFLT_O_AK", "DFLT_O_GR", "MTGMV_I_ST",
"MTGMV_I_HL", "MTGMV_I_AK", "MTGMV_I_GR",
"MTGMV_O_ST", "MTGMV_O_HL", "MTGMV_O_AK",
"MTGMV_O_GR"]
#---------------------------------------------------------------------
log.info("calculate toetspunten")
toetspunten_dict = turtlebase.spatial.calculcate_toetspunten(
ahn_ascii, lgn_k5_ascii, id_int_ascii,
toetspunten_fields, target_level_dict,
onderbemaling="#")
#---------------------------------------------------------------------
log.info("Create output table")
create_output_table(gp, output_file, gpgident, toetspunten_fields)
#---------------------------------------------------------------------
# Add metadata
import time
date_time_str = time.strftime("%d %B %Y %H:%M:%S")
source = input_ahn_raster
for area_id, values in toetspunten_dict.items():
toetspunten_dict[area_id]['date_time'] = date_time_str
toetspunten_dict[area_id]['source'] = source
#---------------------------------------------------------------------
# Write results to output table
log.info("Write results to output table")
turtlebase.arcgis.write_result_to_output(
output_file, gpgident, toetspunten_dict)
#---------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
tempfiles = os.listdir(workspace)
for tempfile in tempfiles:
if tempfile.endswith('.asc'):
try:
os.remove(os.path.join(workspace, tempfile))
except Exception, e:
log.debug(e)
mainutils.log_footer()
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
#check inputfields
log.info("Getting commandline parameters")
if len(sys.argv) == 3:
input_oppervlak = sys.argv[1]
input_afvoer = sys.argv[2]
log.info("input oppervlak: %s" % input_oppervlak)
log.info("input afvoer: %s" % input_afvoer)
else:
log.error("Usage: python rural_controle_afvoer.py <rr_oppervlakte> <rr_afvoer>")
sys.exit(1)
#----------------------------------------------------------------------------------------
error_count = 0
log.info("A-1) Read RR_Oppervlak")
gpgident = config.get('GENERAL', 'gpgident').lower()
if not turtlebase.arcgis.is_fieldname(gp, input_oppervlak, gpgident):
log.error("field %s not found, we cannot continue" % gpgident)
sys.exit(1)
oppervlak_data = nens.gp.get_table(gp, input_oppervlak, primary_key=gpgident)
log.info("A-2) Read RR_Afvoer")
kwkident = config.get('GENERAL', 'kwkident').lower()
if not turtlebase.arcgis.is_fieldname(gp, input_afvoer, kwkident):
log.error("field %s not found, we cannot continue" % kwkident)
sys.exit(1)
afvoer_data = nens.gp.get_table(gp, input_afvoer, primary_key=kwkident)
log.info("B-1) Checking links from KW's")
afvoer_van = config.get('controle_afvoerrelaties', 'afvoer_van').lower()
afvoer_naar = config.get('controle_afvoerrelaties', 'afvoer_naar').lower()
boundary_str = config.get('controle_afvoerrelaties', 'boundary_str')
for kwk_id, value in afvoer_data.items():
if (afvoer_data[kwk_id][afvoer_van] != boundary_str) and not(oppervlak_data.has_key(value[afvoer_van])):
log.error("[" + kwkident + "] = " + kwk_id + ", field " + afvoer_van + ": [" + gpgident + "] = '" + afvoer_data[kwk_id][afvoer_van] + "' not found in RR_Oppervlak.")
error_count += 1
if (afvoer_data[kwk_id][afvoer_naar] != boundary_str) and not(oppervlak_data.has_key(value[afvoer_naar])):
log.error("[" + kwkident + "] = " + kwk_id + ", field " + afvoer_naar + ": [" + gpgident + "] = '" + afvoer_data[kwk_id][afvoer_naar] + "' not found in RR_Oppervlak.")
error_count += 1
log.info("B-2) Checking links from GPG's")
for gpg_ident in oppervlak_data.keys():
#try to find gpg_ident in afvoer_data
for value in afvoer_data.values():
if value[afvoer_naar] == gpg_ident:
break
if value[afvoer_van] == gpg_ident:
break
else:
log.error("%s: %s not found in RR_Afvoer." % (gpgident, gpg_ident))
error_count += 1
if error_count == 0:
log.info("No errors were found.")
else:
log.warning("%s error(s) were found." % error_count)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.warning("failed to delete %s" % workspace_gdb)
mainutils.log_footer()
except:
log.error(traceback.format_exc())
sys.exit(1)
finally:
logging_config.cleanup()
del gp
def main():
try:
gp = mainutils.create_geoprocessor()
config = mainutils.read_config(__file__, 'turtle-settings.ini')
logfile = mainutils.log_filename(config)
logging_config = LoggingConfig(gp, logfile=logfile)
mainutils.log_header(__name__)
#----------------------------------------------------------------------------------------
# Create workspace
workspace = config.get('GENERAL', 'location_temp')
if workspace == "-":
workspace = tempfile.gettempdir()
turtlebase.arcgis.delete_old_workspace_gdb(gp, workspace)
if not os.path.isdir(workspace):
os.makedirs(workspace)
workspace_gdb, errorcode = turtlebase.arcgis.create_temp_geodatabase(gp, workspace)
if errorcode == 1:
log.error("failed to create a file geodatabase in %s" % workspace)
#----------------------------------------------------------------------------------------
if len(sys.argv) == 4:
log.info("Reading and checking input")
waterlijnen = sys.argv[1]
peilgebieden = sys.argv[2]
output_file = sys.argv[3]
else:
log.error("usage: <waterlijnen> <peilgebieden> <output_file>")
sys.exit(1)
#----------------------------------------------------------------------------------------
# Check required fields in input data
log.info("Check required fields in input data")
missing_fields = []
#<check required fields from input data, append them to list if missing>"
gpgident = config.get('GENERAL', 'gpgident')
check_fields = {peilgebieden: [gpgident]}
for input_fc, fieldnames in check_fields.items():
for fieldname in fieldnames:
if not turtlebase.arcgis.is_fieldname(gp, input_fc, fieldname):
errormsg = "fieldname %s not available in %s" % (fieldname, input_fc)
log.error(errormsg)
missing_fields.append(errormsg)
if len(missing_fields) > 0:
log.error("missing fields in input data: %s" % missing_fields)
sys.exit(2)
#----------------------------------------------------------------------------------------
try:
#bepaald centroide van peilvakken en stop in dictionary
#dict wordt {<gpgident>:[centroid:<centroid>]}
peilgebieden_centroides_dict = bepalen_centroides(gp, peilgebieden, gpgident)
# Eerst een intersect van de peilgebiden met de waterlijnen
#extract de shapefiles uit de geodatabase
log.info("Kopieer " + waterlijnen + " naar de workspace")
waterlijnen_lokaal = turtlebase.arcgis.get_random_file_name(workspace_gdb)
log.debug("Kopieer de waterlijnen naar een lokale directory")
gp.select_analysis(waterlijnen, waterlijnen_lokaal)
intersect = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.Intersect_analysis(waterlijnen_lokaal + ";" + peilgebieden, intersect)
log.info("Reading line features")
#nu uitlezen van de nodes van de waterlijnen
waterlijnen_nodes_dict = reading_line_features_nodes(gp, waterlijnen_lokaal)
nodes = turtlebase.arcgis.get_random_file_name(workspace_gdb)
create_point_file_from_dict(gp, waterlijnen_nodes_dict, nodes, "nodes_id")
#nu koppel de nodes aan de peilgebieden dmv een spatial join
spat_jn_nodes = turtlebase.arcgis.get_random_file_name(workspace_gdb)
gp.SpatialJoin_analysis(nodes, peilgebieden, spat_jn_nodes)
#uitlezen van de nodes van de waterlijnen inclusief gpgident
waterlijnen_nodes_dict = reading_line_feature_nodes_to_dict_according_to_peilgebied(gp, spat_jn_nodes, gpgident)
#uitlezen van de vertices van de waterlijnen
waterlijnen_vertex_dict = reading_line_features_vertices(gp, intersect, gpgident, peilgebieden_centroides_dict)
#bereken het punt het dichtst bij de centroide van een peilgebied. Kijk eerst naar de nodes, dan naar vertices en indien geen waterlijn aanwezig maak dan
# centroide punt aan van het peilgebied
dictionary_with_closest_point_to_centroid_on_waterlijn = calculate_minimal_distance_between_points(gp, peilgebieden_centroides_dict, waterlijnen_nodes_dict, waterlijnen_vertex_dict)
output_centroid_file = turtlebase.arcgis.get_random_file_name(workspace_gdb)
create_point_file_from_dict(gp, dictionary_with_closest_point_to_centroid_on_waterlijn, output_centroid_file, gpgident)
gp.select_analysis(output_centroid_file, output_file)
except Exception, e:
errormsg = traceback.extract_tb(sys.exc_traceback)
log.error(errormsg)
log.error(e)
sys.exit(1)
#----------------------------------------------------------------------------------------
# Delete temporary workspace geodatabase & ascii files
try:
log.debug("delete temporary workspace: %s" % workspace_gdb)
gp.delete(workspace_gdb)
log.info("workspace deleted")
except:
log.debug("failed to delete %s" % workspace_gdb)
mainutils.log_footer()