def gml_qa(country_code, gml_file):
#file read
input_gml = utOpen(gml_file)
conv_gml = GMLStructure()
#fill geometry
conv_gml = gml_import(input_gml.read(),conv_gml)
if str(country_code).upper() not in COUNTRIES_DICT:
country_code = 'EU'
country_code = str(country_code).upper()
minx = float(COUNTRIES_DICT[country_code]['minx'])
miny = float(COUNTRIES_DICT[country_code]['miny'])
maxx = float(COUNTRIES_DICT[country_code]['maxx'])
maxy = float(COUNTRIES_DICT[country_code]['maxy'])
total_number = len(conv_gml.getShp_records())
bad_feaures = 0
mark_bad = 0
if conv_gml.getFeat_type() == '1':
for m in range(len(conv_gml.getShp_records())):
for n in range (len(conv_gml.getShp_records()[m])):
if not isPointInsideRectangle (minx,maxy,maxx,miny,(conv_gml.getShp_records()[m][n])[0][0],(conv_gml.getShp_records()[m][n])[0][1]):
mark_bad = 1
if mark_bad:
bad_feaures += 1
mark_bad = 0
elif conv_gml.getFeat_type() == '3':
for m in range(len(conv_gml.getShp_records())):
for k in range (len(conv_gml.getShp_records()[m])):
for j in ((conv_gml.getShp_records()[m])[k]):
if not isPointInsideRectangle (minx,maxy,maxx,miny,j[0],j[1]):
mark_bad = 1
if mark_bad:
bad_feaures += 1
mark_bad = 0
elif conv_gml.getFeat_type() == '5':
for m in range(len(conv_gml.getShp_records())):
for k in range (len(conv_gml.getShp_records()[m])):
for j in ((conv_gml.getShp_records()[m])[k]):
if not isPointInsideRectangle (minx,maxy,maxx,miny,j[0],j[1]):
mark_bad = 1
if mark_bad:
bad_feaures += 1
mark_bad = 0
returnQA = QA_TEMPLATE % (total_number,str(total_number-bad_feaures), bad_feaures,("not passed", "passed successfully")[bad_feaures == 0])
return returnQA
def gml_to_kml(gml_file):
#generate name
name = gml_file[:gml_file.rfind('.')]
input_gml = utOpen(gml_file)
conv_gml = GMLStructure()
conv_gml.setGeo_name(name)
# fill geometry
conv_gml = gml_import(input_gml.read(),conv_gml)
# GML output
kml_generator = KMLGenerator()
kml_data = kml_generator.fillKMLHeader()
kml_data += kml_generator.fillKMLStyle()
if conv_gml.getFeat_type() == '1':
for m in range(len(conv_gml.getShp_records())):
for n in range (len(conv_gml.getShp_records()[m])):
x,y = transcalc((conv_gml.getShp_records()[m][n])[0][0],(conv_gml.getShp_records()[m][n])[0][1],10)
kml_data += kml_generator.fillKMLPoint("", x, y)
elif conv_gml.getFeat_type() == '3':
for m in range(len(conv_gml.getShp_records())):
thelist = []
temp_thelist = thelist.append
for k in range (len(conv_gml.getShp_records()[m])):
mylist = []
temp_mylist = mylist.append
for j in ((conv_gml.getShp_records()[m])[k]):
temp_mylist(transcalc(j[0],j[1],10))
temp_thelist(mylist)
kml_data += kml_generator.fillKMLLine("", thelist)
elif conv_gml.getFeat_type() == '5':
for m in range(len(conv_gml.getShp_records())):
thelist = []
temp_thelist = thelist.append
for k in range (len(conv_gml.getShp_records()[m])):
mylist = []
temp_mylist = mylist.append
for j in ((conv_gml.getShp_records()[m])[k]):
temp_mylist(transcalc(j[0],j[1],10))
temp_thelist(mylist)
kml_data += kml_generator.fillKMLPoly("", thelist)
kml_data += kml_generator.fillKMLFooter()
return kml_data
def gml_to_image(in_name, in_gml, in_width, in_height, in_filetype, in_out_colour, in_fill_colour, in_country, in_ims_server, in_ims_service, im_background = 0):
if im_background:
if str(in_country).upper() not in COUNTRIES_DICT:
in_country = 'EU'
in_country = str(in_country).upper()
imsresp = get_background_image(in_ims_server, in_ims_service, COUNTRIES_DICT[in_country]['minx'], COUNTRIES_DICT[in_country]['miny'], COUNTRIES_DICT[in_country]['maxx'], COUNTRIES_DICT[in_country]['maxy'], in_width, in_height)
imsresp = download_ims_image(imsresp)
imb = Image.open (imsresp.getUrl())
#imb = imb.convert("P")
#imb.palette = ImagePalette.ImagePalette("RGB")
# make a new empty image
im = Image.new("P", (in_width, in_height),255)
im.palette = ImagePalette.ImagePalette("RGB")
else:
# make a new empty image
im = Image.new("P", (in_width, in_height),255)
im.palette = ImagePalette.ImagePalette("RGB")
input_gml = utOpen(in_gml)
conv_gml = GMLStructure()
conv_gml.setGeo_name(in_name)
# fill geometry
conv_gml = gml_import(input_gml.read(),conv_gml)
# if no geographic data available
if len(conv_gml.getShp_records()) == 0:
#font = ImageFont.truetype("arial.ttf", 15)
font = ImageFont.load_default()
draw = ImageDraw.Draw(im)
draw.text((10, 10), " NO DATA", font=font, fill = in_out_colour)
del draw
if conv_gml.getFeat_type() == '1':
for m in range(len(conv_gml.getShp_records())):
for n in range (len(conv_gml.getShp_records()[m])):
draw = ImageDraw.Draw(im)
if im_background:
x,y = utMapToPoint((conv_gml.getShp_records()[m][n])[0][0],(conv_gml.getShp_records()[m][n])[0][1], in_width, in_height,imsresp.getMinx(),imsresp.getMiny(),imsresp.getMaxx(),imsresp.getMaxy())
else:
x,y = utMapToPoint((conv_gml.getShp_records()[m][n])[0][0],(conv_gml.getShp_records()[m][n])[0][1], in_width, in_height,(conv_gml.getXY_min())[0], (conv_gml.getXY_min())[1], (conv_gml.getXY_max())[0], (conv_gml.getXY_max())[1])
draw.rectangle([x-1,y+1,x+1,y-1], outline = in_out_colour)
del draw
elif conv_gml.getFeat_type() == '3':
for m in range(len(conv_gml.getShp_records())):
for k in range (len(conv_gml.getShp_records()[m])):
mylist = []
temp_mylist = mylist.append
for j in ((conv_gml.getShp_records()[m])[k]):
if im_background:
temp_mylist(utMapToPoint(j[0],j[1], in_width, in_height, imsresp.getMinx(),imsresp.getMiny(),imsresp.getMaxx(),imsresp.getMaxy()))
else:
temp_mylist(utMapToPoint(j[0],j[1], in_width, in_height,(conv_gml.getXY_min())[0], (conv_gml.getXY_min())[1], (conv_gml.getXY_max())[0], (conv_gml.getXY_max())[1]))
draw = ImageDraw.Draw(im)
draw.line(mylist, width = 1, fill = in_out_colour)
del draw
elif conv_gml.getFeat_type() == '5':
for m in range(len(conv_gml.getShp_records())):
#prepare polygons
ordered_shapes = []
temp_ordered_shapes = ordered_shapes.append
mypoint = {}
pol_has_poi = {}
poi_has_pol = {}
for k in range (len(conv_gml.getShp_records()[m])):
t = (conv_gml.getShp_records()[m])[k][0]
mypoint[k] = t
for p in range(len(mypoint)):
p_count = 0
for k in range (len(conv_gml.getShp_records()[m])):
if point_inside_polygon(mypoint[p][0],mypoint[p][1],(conv_gml.getShp_records()[m])[k]) and k <>p:
p_count += 1
poi_has_pol[p] = p_count
for k in range (len(conv_gml.getShp_records()[m])):
p_count = 0
for p in range(len(mypoint)):
if point_inside_polygon(mypoint[p][0],mypoint[p][1],(conv_gml.getShp_records()[m])[k]) and k <>p:
p_count+=1
pol_has_poi[k] = p_count
pol_sort = {}
auxlist = [ (value, key) for key, value in pol_has_poi.items() ]
auxlist.sort()
auxlist.reverse()
i = 0
for value, key in auxlist:
pol_sort[i] = key
i+=1
for k in range (len(conv_gml.getShp_records()[m])):
mylist = []
temp_mylist = mylist.append
for j in ((conv_gml.getShp_records()[m])[pol_sort[k]]):
if im_background:
temp_mylist(utMapToPoint(j[0],j[1], in_width, in_height, imsresp.getMinx(),imsresp.getMiny(),imsresp.getMaxx(),imsresp.getMaxy()))
else:
temp_mylist(utMapToPoint(j[0],j[1], in_width, in_height,(conv_gml.getXY_min())[0], (conv_gml.getXY_min())[1], (conv_gml.getXY_max())[0], (conv_gml.getXY_max())[1]))
draw = ImageDraw.Draw(im)
if poi_has_pol[pol_sort[k]] % 2 == 0:
draw.polygon(mylist, outline = in_out_colour, fill = in_fill_colour)
else:
draw.polygon(mylist, outline = in_out_colour, fill = 255)
del draw
if im_background:
# cleanup
delete_ims_image(imsresp.getUrl())
# save the image
file_extension = in_filetype.lower()
if in_filetype.lower() == "jpeg":
file_extension = "jpg"
elif in_filetype.lower() == "TIFF":
file_extension = "tif"
image_url = join(FILES_PATH, "%s.%s" % (in_name, file_extension))
if im_background:
im.save(image_url, "%s" % in_filetype, transparency = 255, color=255)
im = Image.open (image_url)
im = im.convert("RGBA")
imb = imb.convert("RGBA")
mask = im.point(lambda i: i > 0 and 200) # use black as transparent
imb.paste (im, (0,0), mask)
imb.save(image_url, "%s" % in_filetype)
else:
im.save(image_url, "%s" % in_filetype)
l_file = open(image_url, mode='rb')
content = l_file.read()
l_file.close()
delete_ims_image(image_url)
return content