def buildPlacemarkForSite(folder, siteData):
''' Build a placemark for a particular site.
If the site is in PLUME_SOURCES, then show a wedge or circle depending on the wind speed.
Otherwise show just a point.
Render a popup or not based on json data.
'''
siteName = siteData['name']
if siteName in SITE_POSITIONS:
dotPlacemark = kml.Placemark(NAME_SPACE, siteName, siteName,
getSiteDescription(siteData))
dotPlacemark.styleUrl = '#' + getDotIconId(
getDataValue('SO2.AQItext', siteData))
dotPlacemark.geometry = buildPoint(SITE_POSITIONS[siteName], siteName)
folder.append(dotPlacemark)
if siteName == PLUME_SOURCE:
plumeData = getPlumeSourceData()
for crater in WEDGE_POSITIONS:
craterPlacemark = kml.Placemark(
NAME_SPACE, makeKey(crater), crater,
getCraterDescription(plumeData))
craterPlacemark.styleUrl = '#' + getPolyStyleId(
getDataValue('SO2.AQItext', plumeData))
if CONDITIONS['LOW_WIND']:
craterPlacemark.geometry = buildCircle(
WEDGE_POSITIONS[crater], crater)
else:
craterPlacemark.geometry = buildWedge(
WEDGE_POSITIONS[crater], CONDITIONS['WIND_DIRECTION'],
crater)
folder.append(craterPlacemark)
def handle(self, *args, **options):
"""Extract the results and write them into a KML files."""
startTime = datetime.now()
boundaries = Boundery.objects.filter(isMain=False, processed=True)
k = kml.KML()
ns = "{http://www.opengis.net/kml/2.2}"
d = kml.Document(ns, 'docid', "Results %s" % (startTime),
'doc description')
k.append(d)
f = kml.Folder(ns, 'fid', 'all objects', 'main folder')
d.append(f)
style = kml.Style(ns=ns, id="KMLStyler")
polyStyle = styles.PolyStyle(id="polystyle", color="7fe1ca9e")
style.append_style(polyStyle)
k._features[0]._styles.append(style)
print(list(k.features()))
for boundary in boundaries:
boundaryFolder = kml.Folder(
ns, 'fid', boundary.matchingId,
"Found features: %s" % (boundary.address_set.count()))
boundaryPolygon = kml.Placemark(
ns, boundary.matchingId, boundary.matchingId,
"Found features: %s" % (boundary.address_set.count()))
boundaryPolygon.geometry = Polygon(list(
boundary.polygon.coords[0]))
boundaryPolygon.styleUrl = "KMLStyler"
boundaryFolder.append(boundaryPolygon)
if (options['addresses']):
for address in boundary.address_set.all():
p = kml.Placemark(
ns, str(address.id), address.formattedAddress,
"confidence: %s" % (str(address.confidence)))
p.geometry = Point(address.point.coords)
p.styleUrl = "KMLStyler"
p.visibility = 0
boundaryFolder.append(p)
f.append(boundaryFolder)
text_file = open("./processed.kml", "w")
outputString = k.to_string()
text_file.write(outputString)
text_file.close()
print("Exporting:", boundaries.count())
print("Done within:", datetime.now() - startTime)
def get_kml(self):
'''
Render the Site as KML
'''
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
ls = LineStyle(color="ffffff00", width=0.5)
s1 = Style(id="thin_border", styles=[ls])
d = kml.Document(ns,
self.site.name,
self.site.name,
"Site plan for %s" % (self.site.name),
styles=[s1])
k.append(d)
# nf = kml.Folder(ns, 'B1', 'building 1', 'Building one')
# d.append(nf)
# render the site reference mark as a KML Placemark
p = kml.Placemark(ns, 'ref_mark', self.site.name,
'Reference survey mark')
p.geometry = self.site.ref_mark
d.append(p)
# compute the UTM coords of the Site reference point
crs = get_epsg(self.site.ref_mark)
site_UTM = get_UTM_from_long_lat(self.site.ref_mark)
project_UTM_to_WGS84 = partial(pyproj.transform, pyproj.Proj(init=crs),
pyproj.Proj(init='epsg:4326'))
folder = kml.Folder(ns, 'Structures', 'Structures',
'Structures on the site')
d.append(folder)
# render each Structure
for s in self.site.structures:
name = s.name
# work with the outline of the structure
outline = s.geometry.buffer(0)
# move outline into UTM coordinates for the site
outline = translate(outline, xoff=site_UTM.x, yoff=site_UTM.y)
# and transform to WGS84
outline = transform(project_UTM_to_WGS84, outline)
# place the outline in Structures folder
p = kml.Placemark(ns,
name,
name,
s.description,
styleUrl="#thin_border")
p.geometry = outline
folder.append(p)
# return the KML
return k.to_string(prettyprint=True)
def slicePlacemarks(placemarks, state):
"""Slice the source placemark geometry and ingest it."""
outputPlacemarks = []
outputPolygons = []
totalPolygons = 0
ns = '{http://www.opengis.net/kml/2.2}'
for placemark in placemarks:
s = shape(placemark.geometry)
if isinstance(s, shapely.geometry.polygon.Polygon):
boundery = insertBoundery(s, state, True)
outputPolygons.append(boundery)
elif isinstance(s, shapely.geometry.multipolygon.MultiPolygon):
subSs = list(s)
for subS in subSs:
boundery = insertBoundery(subS, state, True)
outputPolygons.append(boundery)
slices = fishnet(placemark.geometry, 0.01)
totalPolygons += len(slices)
for polygonSlice in slices:
matchingId = str(uuid.uuid4())
newPlacemark = kml.Placemark(ns, 'id', matchingId, 'description')
newPlacemark.geometry = polygonSlice
newPlacemark.styleUrl = "KMLStyler"
if isinstance(newPlacemark.geometry,
shapely.geometry.polygon.Polygon):
outputPlacemarks.append(newPlacemark)
boundery = insertBoundery(newPlacemark.geometry, state, False)
boundery.matchingId = matchingId
outputPolygons.append(boundery)
elif isinstance(newPlacemark.geometry,
shapely.geometry.multipolygon.MultiPolygon):
subPolygons = list(newPlacemark.geometry)
for subPolygon in subPolygons:
matchingId = str(uuid.uuid4())
newSubPlacemark = kml.Placemark(ns, 'id', matchingId,
'description')
newSubPlacemark.geometry = subPolygon
newSubPlacemark.styleUrl = "KMLStyler"
outputPlacemarks.append(newSubPlacemark)
boundery = insertBoundery(subPolygon, state, False)
boundery.matchingId = matchingId
outputPolygons.append(boundery)
return outputPlacemarks, totalPolygons, outputPolygons
def tiles_to_kml(tiles, filename, name):
# Create the root KML object
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
s = styles.Style(id="s", styles=[styles.LineStyle(color="ff0000ff", width=1)])
# Create a KML Document and add it to the KML root object
d = kml.Document(ns, name=name, styles=[s])
k.append(d)
# Create a KML Folder and add it to the Document
f = kml.Folder(ns, name=name)
d.append(f)
# Create a Placemark with a simple polygon geometry and add it to the
# second folder of the Document
for tile_id in tiles:
tile = Tile(tile_id)
p = kml.Placemark(ns, tile_id, styleUrl="#s")
p.geometry = tile.line_string_lon_lat
f.append(p)
print(k.to_string(prettyprint=True))
with open(filename, 'w') as hf:
hf.write(k.to_string(prettyprint=True))
return True
def write_kml():
print('=====')
print('===== Building KML =====')
k = kml.KML()
# print(k)
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'docid', 'doc name', 'doc description')
k.append(d)
p = kml.Placemark(ns, 'id', 'name', 'description')
# p.geometry = Polygon([(0,0,0), (1,1,0), (1,0,1)])
easting = 128.4
northing = 36.4
elevation = 0 # does Google Earth show points that are under terrain or buildings?
# KML uses long, lat, alt for ordering coordinates (x, y, z)
p.geometry = Point(easting, northing, elevation)
d.append(p)
# kml.Placemark
print(k.to_string(prettyprint=True))
with open(kml_path, 'w') as f:
f.write(k.to_string())
with open(kml_path, 'r') as f:
print(f.read())
def _setPlacemark_for_KML(self, upstream_feature):
output_df = self.outputdf
out_nsfolders = []
for placemark in upstream_feature:
id = placemark.id
name = placemark.name
desc = placemark.description
# creating nested folder
out_nsfolder = kml.Folder(ns, id, name, desc)
# creating placemarks (points and LineString)
Lines = self.info_df[self.info_df['Trace'].str.contains(
name)]['Outputs'].to_list()
line_names = self.info_df[self.info_df['Trace'].str.contains(
name)]['Trace'].to_list()
outplacemarks = gen_placemark_from_Line(Lines, ns, line_names)
for pm in outplacemarks:
out_nsfolder.append(pm)
out_points_folder = kml.Folder(ns, id, name='Poteaux')
if not self.offset:
for Line in Lines:
for point in Line:
id = str(Line.index(point))
point_name = output_df[output_df['Name'].str.contains(
placemark.name)]['Number'].to_list()
name = point_name[Line.index(point)]
desc = 'Electric Pole'
outpoint = kml.Placemark(ns, id, name, desc)
outpoint.geometry = Point(point)
out_points_folder.append(outpoint)
out_nsfolder.append(out_points_folder)
out_nsfolders.append(out_nsfolder)
return out_nsfolders
def write_to_kml(self,filename):
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns=ns, name='SNOPT Stitched Trajectory')
#styles
s = styles.Style(id='yellowLineGreenPoly')
ls = styles.LineStyle(color='7f00ff00',width=4)
ps = styles.PolyStyle(color='7f00ff00')
s.append_style(ls)
s.append_style(ps)
d.append_style(s)
#placemark
pm = kml.Placemark(name='Stitched Trajectory',description='Trajectory for EADDDAS',styleUrl='#yellowLineGreenPoly')
geom = Geometry()
coords = []
for i,x in enumerate(self.east):
coord = [0]*3
coord[1] = self.ka.lat + self.north[i]/111111.0 #lat
coord[0] = self.ka.lon + self.east[i]/(111111.0*cos(coord[1]*pi/180)) #lon
coord[2] = self.ka.alt + self.up[i] #alt
coords.append(tuple(coord))
geom.geometry = LineString(coords)
geom.extrude = True
geom.tessellate = True
geom.altitude_mode = 'absolute'
pm.geometry = geom
d.append(pm)
k.append(d)
kmlfile = open(filename,"w")
kmlfile.write(k.to_string(prettyprint=True))
kmlfile.close()
def getKmlFromGeom(geom):
# Create the root KML object
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
# Create a KML Document and add it to the KML root object
d = kml.Document(ns)
k.append(d)
# Create a KML Folder and add it to the Document
f = kml.Folder(ns)
d.append(f)
# Create a KML Folder and nest it in the first Folder
nf = kml.Folder(ns)
f.append(nf)
# Create a second KML Folder within the Document
f2 = kml.Folder(ns)
d.append(f2)
# Create a Placemark with a simple polygon geometry and add it to the
# second folder of the Document
p = kml.Placemark(ns)
p.geometry = geom
f2.append(p)
return k.to_string()
def write_kml(self):
"""Write KML file."""
make_dir_if_not_exist(self.output_dir)
# shamefully dump as JSON then unmarshal into a dict -- sigh.
peak_dict = json.loads(self.tablib_data.export('json'))
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
# Create a KML Document and add it to the KML root object
d = kml.Document(ns,
self.filename,
self.filename,
'pinmap for {}'.format(self.filename))
k.append(d)
kmlFolder =\
kml.Folder(ns,
self.filename,
self.filename,
'kml map of list points for {}'.format(self.filename))
for peak in peak_dict:
details = ''
for key, val in sorted(peak.items()):
details += '{}: {}\n'.format(key, val)
p = kml.Placemark(ns, peak['Name'], peak['Name'], details)
p.geometry = Point(peak['Longitude'], peak['Latitude'])
kmlFolder.append(p)
d.append(kmlFolder)
with open('{}.kml'.format(self.output_file), 'w') as output_kml:
output_kml.write(k.to_string(prettyprint=True))
def search_target_kml(request, format=None):
"""
A view that returns a kml file for targets given a bounding box
"""
queryset = Target.objects.all()
bounding_box = request.query_params['bounding_box']
if bounding_box == '':
bounding_box = None
if bounding_box is not None:
queryset = queryset.filter(coordinates__coveredby=bounding_box)
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'docid', 'GHGSat Document', 'Display GHGSat targets')
k.append(d)
f = kml.Folder(ns, 'folder1', 'Targets', 'Targets features')
d.append(f)
for target in queryset:
p = kml.Placemark(ns, str(target.id), str(target.name), 'description')
p.geometry = Point(target.coordinates.x,
target.coordinates.y, target.elevation)
f.append(p)
return Response(k.to_string(prettyprint=True))
def _flight_export_kml(
flight: Flight,
styleUrl: Optional[kml.StyleUrl] = None,
color: Optional[str] = None,
alpha: float = 0.5,
**kwargs,
) -> kml.Placemark:
if color is not None:
# the style will be set only if the kml.export context is open
styleUrl = toStyle(color)
params = {
"name": flight.callsign,
"description": flight._info_html(),
"styleUrl": styleUrl,
}
for key, value in kwargs.items():
params[key] = value
placemark = kml.Placemark(**params)
placemark.visibility = 1
# Convert to meters
coords = np.stack(flight.coords) # type: ignore
coords[:, 2] *= 0.3048
placemark.geometry = Geometry(
geometry=LineString(coords),
extrude=True,
altitude_mode="relativeToGround",
)
return placemark
def gen_placemark_from_Line(coords, ns, names):
"""
create a placemark object for kml
:param coords: list of the base line and optionaly the offsets lines
:type coords: list of coordinates
:param ns: ns of kml version
:type ns: str
:param name: list of line names
:type name: list of str
:return: list of placemark object
:rtype: list of placemark
"""
outplacemarks = []
name_l = [name for name in names if 'offset_l' in name]
name_r = [name for name in names if 'offset_r' in name]
name_b = [
name for name in names
if 'offset_r' not in name and 'offset_l' not in name
]
coords_l = [
coords[names.index(name)] for name in names if 'offset_l' in name
]
coords_r = [
coords[names.index(name)] for name in names if 'offset_r' in name
]
dim = len(coords_r)
coords_b = [
coords[names.index(name)] for name in names
if 'offset_r' not in name and 'offset_l' not in name
]
colors = color_range_gen(dim + 1)
for i in range(dim):
ls = styles.LineStyle(ns=ns, id=None, color=colors[i + 1], width=1.5)
s1 = styles.Style(styles=[ls])
outplacemark_l = kml.Placemark(ns, None, name_l[i], None, styles=[s1])
outplacemark_r = kml.Placemark(ns, None, name_r[i], None, styles=[s1])
outplacemark_l.geometry = LineString(coords_l[i])
outplacemark_r.geometry = LineString(coords_r[i])
outplacemarks.append(outplacemark_l)
outplacemarks.append(outplacemark_r)
ls = styles.LineStyle(ns=ns, id=None, color=colors[0], width=3)
s1 = styles.Style(styles=[ls])
outplacemark = kml.Placemark(ns, None, name_b[0], None, styles=[s1])
outplacemark.geometry = LineString(coords_b[0])
outplacemarks.append(outplacemark)
return outplacemarks
def form_valid(self, form):
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'docid', 'San Francisco Observations',
'KML Document')
f = kml.Folder(ns, 'fid', 'San Francisco Observations Root Folder',
'Contains place marks for specimens and observations.')
k.append(d)
d.append(f)
os = Occurrence.objects.all()
for o in os:
if (o.geom):
p = kml.Placemark(ns, 'id', 'name', 'description')
#coord = utm.to_latlon(o.geom.coords[0], o.geom.coords[1], 37, 'P')
pnt = Point(o.geom.coords[0], o.geom.coords[1])
p.name = o.__str__()
d = "<![CDATA[<table>"
openrow = "<tr><td>"
middlerow = "</td><td style='font-weight:bold'>"
closerow = "</td></tr>"
d += openrow
d += ''.join(("Basis of Record", middlerow))
d += ''.join(
filter(None, (o.basis_of_record, closerow, openrow)))
d += ''.join(("Time", middlerow))
d += ''.join(
filter(None, (str(o.field_number), closerow, openrow)))
d += ''.join(("Item Type", middlerow))
d += ''.join(filter(None, (o.item_type, closerow, openrow)))
d += ''.join(("Collector", middlerow))
d += ''.join(filter(None, (o.collector, closerow, openrow)))
d += ''.join(("Collection Method", middlerow))
d += ''.join(
filter(None, (o.collecting_method, closerow, openrow)))
d += ''.join(("Count", middlerow))
d += ''.join(
filter(None, (str(o.individual_count), closerow, openrow)))
d += ''.join(("Bar Code", middlerow))
d += ''.join(filter(None, (str(o.barcode), closerow, openrow)))
d += ''.join(("Scientific Name", middlerow))
d += ''.join(
filter(None, (o.item_scientific_name, closerow, openrow)))
d += ''.join(("Description", middlerow))
d += ''.join(
filter(None, (o.item_description, closerow, openrow)))
d += ''.join(("Remarks", middlerow))
d += ''.join(filter(None, (o.remarks, closerow, openrow)))
d += ''.join(("In Situ", middlerow))
d += ''.join(filter(None, (str(o.in_situ), closerow)))
d += "</table>"
p.description = d
p.geometry = pnt
f.append(p)
r = k.to_string(prettyprint=True)
response = HttpResponse(r, mimetype='text/plain')
response[
'Content-Disposition'] = 'attachment; filename="san_francisco.kml"'
return response
def colorizedGlyph(data, folderPath, docname, nbins, limits, cmap_type):
# data: a numpy matrix with [latitude, longitude, height, f] in each row. Where f is the variable asociated with the color.
# folderPath: a string with the folder path
# nbins: number of beans of the color map
# limits: a list [min, max] which are the limits of our color scale.
# cmap_type: a string with the name of the colormap. Read matplotlib.cm reference for further information.
colormap = cm.get_cmap(cmap_type, nbins)
# Create the root KML object
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
# Create a KML Document and add it to the KML root object
docid=''
docdescription='This file was generated automaticaly with fastKML to colorize the aeroglyph.'
kdoc = kml.Document(ns, docid, docname, docdescription)
k.append(kdoc)
# Create a KML Folder and add it to the Document
folder1 = kml.Folder(ns, '', 'aeroglyph', '')
kdoc.append(folder1)
puntoPrev=[]
idPunto=0
for punto in data:
if(idPunto!=0):
u=(punto[3]-limits[0])/(limits[1]-limits[0])
uprev=(puntoPrev[3]-limits[0])/(limits[1]-limits[0])
u=(u+uprev)/2
rgbcolor=colormap(u)
hexcolor=colors.to_hex(rgbcolor, keep_alpha=True)
hexcolor=hexcolor[-2:]+hexcolor[1:7]
# Create a Placemark with a LineString geometry and add it to the Document
estilolinea = styles.LineStyle(ns, color=hexcolor, width=4)
estilo = styles.Style(styles=[estilolinea])
p = kml.Placemark(ns, str(idPunto), styles=[estilo])
p.geometry = LineString([puntoPrev[0:3], punto[0:3]])
# _geometry attribute is supposed not to be accessed directly
# we have to look for a better solution using fastkml functions.
p._geometry.altitude_mode='absolute'
folder1.append(p)
puntoPrev=punto
idPunto+=1
# write kml buffer to our file.
fileHandle= open(folderPath+docname+'.kml',"w+")
fileHandle.write(k.to_string(prettyprint=True))
fileHandle.close()
def get_coord_folder(self, coord):
folder = self.coord_cache.get(coord)
if folder:
return folder
folder = fkml.Folder(ns=self.NS, name=coord, id='f-{}'.format(coord))
folder.extended_data = fkml.SchemaData(
ns=self.NS,
schema_url=self.schema_set['coordinate_metadata'],
data=[{
'name': 'coord',
'value': coord
}])
visible_marker = fkml.Placemark(ns=self.NS,
name=coord,
id='pl-{}'.format(coord))
# Dummy data required by QGIS to display all columns
dummy_data = [
{
'name': 'uuid',
'value': None
},
{
'name': 'wrs2_path_row',
'value': None
},
{
'name': 'netcdf_slice',
'value': None
},
]
for band in self.bands:
dummy_data.append({'name': 'band_{}'.format(band), 'value': None})
visible_marker.extended_data = fkml.SchemaData(
ns=self.NS,
schema_url=self.schema_set['placemark_metadata'],
data=dummy_data)
visible_marker.geometry = Geometry(
ns=self.NS,
geometry=Polygon(
get_grid_perimeter(*[int(i) for i in coord.split('_')])))
visible_marker.description = ''
folder.append(visible_marker)
self.coord_container.append(folder)
self.coord_cache[coord] = folder
return folder
def write_kml(messages, output_filename):
""" Sort messages on timestamp, convert to KML and write to disk """
# Sort since when saving to a file on the watch, they may be out of order
messages.sort(key=lambda x: x.epoch)
# Create KML file
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'watch-loc-data', 'Watch location data')
k.append(d)
f = kml.Folder(ns, 'all-data', 'All location data')
d.append(f)
s = [
kml.Style(ns, 'styles', [
styles.LineStyle(ns, 'linestyle', 'FF0000FF', width=2),
styles.PolyStyle(ns, 'polystyle', '00FFFFFF'),
])
]
i = 0
pt_prev = None
ts_prev = None
for msg in messages:
if msg.message_type == SensorData.MESSAGE_TYPE_LOCATION:
# Skip if invalid lat/lon/alt value
if msg.longitude == 0.0 and msg.latitude == 0.0 and msg.horiz_acc == 0.0:
continue
if msg.altitude == 0.0 and msg.vert_acc == 0.0:
continue
ts = datetime.fromtimestamp(msg.epoch)
pt = (msg.longitude, msg.latitude, msg.altitude)
# We're drawing lines between points, so skip the first point
if i != 0:
p = kml.Placemark(ns,
'point-' + str(i),
'point-' + str(i),
styles=s)
p.geometry = geometry.Geometry(ns,
'geometry-' + str(i),
geometry.Polygon(
[pt_prev, pt, pt, pt_prev]),
altitude_mode='absolute')
p.begin = ts_prev
p.end = ts
f.append(p)
i += 1
pt_prev = pt
ts_prev = ts
with open(output_filename, "w") as f:
f.write(k.to_string(prettyprint=True))
def main():
# read all the EXIF data from the target folder (or webserver?)
# generate a KML with points
# date-time of photo
# any other EXIF data
# make a KMZ that includes the photos (or URL to show the photo in Google Earth)
# 2 approaches:
# 1. Batch process everything in phases, doing one action to all the objects
# 2. Process each item individually through the phases. DevOps = small batch size
# Going with option 2.
# initialize the KML document
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'docid', 'doc name',
'doc description') # TODO update fields
k.append(d)
files = []
for (dirpath, dirnames, filesnames) in walk(target):
path_filenames = []
for file in filesnames:
path_filenames.append(dirpath + file)
files.extend(path_filenames)
break # call to walk only the top directory
for file in files:
# print(file)
# read EXIF
# with open(file) as f: # exifread takes filenames
# tags = exifread.process_file(file) # exifgps can open files also
# convert EXIF coordinate format to KML coordinate format
imagegps = exifgps.read(file)
# print(imagegps)
imagegps.process_exif()
if imagegps._has_gps:
print(file, imagegps._decimal_degrees)
northing, easting = imagegps._decimal_degrees # order is latitude, longitude
elevation = 0
# construct the KML tag and add it
# TODO set the relative altitude mode...
p = kml.Placemark(ns, file, file, file)
# KML uses long, lat, alt for ordering coordinates (x, y, z)
p.geometry = Point(easting, northing, elevation)
d.append(p)
# finish the KML
print(k.to_string(prettyprint=True))
with open(kml_path, 'w') as f:
f.write(k.to_string())
def kml_tiles(geometry, max_sq_geometry=None, individual: bool = False) -> str:
ns = '{http://www.opengis.net/kml/2.2}'
k = kml.KML(ns)
style_normal = kml_styles.Style(id='normal',
styles=[
kml_styles.LineStyle(color="400000ff",
width=1),
kml_styles.PolyStyle(
color="300000ff",
outline=(1 if individual else 0)),
])
style_max_sq = kml_styles.Style(id='max_sq',
styles=[
kml_styles.LineStyle(color="40ff0000",
width=1),
kml_styles.PolyStyle(
color="30ff0000",
outline=(1 if individual else 0)),
])
d = kml.Document(ns,
name="explorer tiles",
styles=[style_normal, style_max_sq])
k.append(d)
p = kml.Placemark(ns, styleUrl="#normal")
p.geometry = geometry
d.append(p)
if max_sq_geometry:
p = kml.Placemark(ns, styleUrl="#max_sq")
p.geometry = max_sq_geometry
d.append(p)
return k.to_string(prettyprint=True)
def generate_kml(meshviewer):
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns)
k.append(d)
for n in meshviewer['nodes']:
if 'location' not in n:
continue
if 'latitude' not in n['location']:
continue
if 'longitude' not in n['location']:
continue
if 'hostname' not in n:
continue
if 'node_id' not in n:
continue
if 'is_online' not in n:
continue
extended = kml.ExtendedData()
p = kml.Placemark(ns, n['node_id'], n['hostname'])
p.geometry = Point(n['location']['longitude'],
n['location']['latitude'])
d.append(p)
extended = []
if n['is_online']:
status = "online"
else:
status = "offline"
extended.append(
kml.Data(value=status, name='status', display_name='Status'))
url = 'https://vogtland.freifunk.net/map/#!/map/' + n['node_id']
extended.append(kml.Data(value=url, name='url', display_name='URL'))
p.extended_data = kml.ExtendedData(elements=extended)
return k
def generate_kml(fname, poi_df):
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
styid = 'style1'
# colors in KML: aabbggrr, aa=00 is fully transparent
sty = styles.Style(id=styid,
styles=[styles.LineStyle(color='9f0000ff',
width=2)]) # transparent red
doc = kml.Document(ns, '1', 'POIs', 'POIs visualization', styles=[sty])
k.append(doc)
# Placemark for POIs
for ix in poi_df.index:
name = poi_df.loc[ix, 'poiName']
cat = poi_df.loc[ix, 'poiTheme']
lat = poi_df.loc[ix, 'poiLat']
lon = poi_df.loc[ix, 'poiLon']
url = poi_df.loc[ix, 'poiURL']
ext_data = kml.ExtendedData(
ns,
elements=[
kml.Data(
name='video',
value=
"![CDATA[<iframe name='Framename' width='480' height='360' src='%s' frameborder='0'></iframe><br><br>]]"
% (url))
])
desc = ''.join([
'POI Name: ', name, '<br/>Category: ', cat,
'<br/>Coordinates: (%f, %f)' % (lat, lon), '<br/>URL: ', url
])
pm = kml.Placemark(ns,
str(ix),
name,
desc,
styleUrl='#' + styid,
extended_data=ext_data)
pm.geometry = Point(lon, lat)
doc.append(pm)
# save to file
kmlstr = k.to_string(prettyprint=True)
with open(fname, 'w') as f:
f.write('<?xml version="1.0" encoding="UTF-8"?>\n')
f.write(kmlstr)
def _airspace_export_kml(
sector: Airspace,
styleUrl: Optional[kml.StyleUrl] = None,
color: Optional[str] = None,
alpha: float = 0.5,
) -> kml.Placemark:
if color is not None:
# the style will be set only if the kml.export context is open
styleUrl = toStyle(color)
folder = kml.Folder(name=sector.name, description=sector.type)
for extr_p in sector:
for elt in sector.decompose(extr_p):
placemark = kml.Placemark(styleUrl=styleUrl)
placemark.geometry = kml.Geometry(geometry=elt,
altitude_mode="relativeToGround")
folder.append(placemark)
return folder
def make_kml(polys, filename):
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns, 'docid', 'doc name', 'doc description')
f = kml.Folder(ns, 'fid', 'f name', 'f description')
k.append(d)
d.append(f)
nf = kml.Folder(ns, 'nested-fid', 'nested f name', 'nested f description')
f.append(nf)
f2 = kml.Folder(ns, 'id2', 'name2', 'description2')
d.append(f2)
for poly in polys:
p = kml.Placemark(ns, 'id', 'name', 'description')
p.geometry = poly
f2.append(p)
# print k.to_string(prettyprint=True)
with open(filename, 'wb') as f:
f.write(k.to_string())
def main(self):
with open(sys.argv[1], 'r') if len(sys.argv) > 1 else sys.stdin as f:
# read the whole contents and put it in memory
lines = f.readlines()
f.close()
for line in lines:
if self.current_line > 2:
# TODO: establish YUV axis if undef.
components = line.strip().split()
if self.gradient_values is None:
self.gradient_values = self.setup_gradient_and_t(
int(components[1]))
# styles.append(kml.Style(self.name_space, styleid, this_style)
if int(components[1]) > self.threshold:
style = self.gradient_values[int(components[1]) - 1]
# southwest corner
sw_lat_lon = self.mgrs.toLatLon(str.encode(components[0]))
ne_lat_lon = self.offset_corner(sw_lat_lon)
pm_ident = 'mgrs-'
pm_ident += str(self.current_line)
style_identifier = "#style-"
style_identifier += components[1]
# print (f'{components[0]}: lat: {lat_lon[0]:.5f} lon: {lat_lon[1]:.5f} value: {components[1]} {northing} {easting}')
p = kml.Placemark(self.name_space, pm_ident, components[0],
''.join(components), None,
style_identifier)
p.geometry = Geometry(
self.name_space, '',
Polygon([(sw_lat_lon[1], sw_lat_lon[0], 170),
(ne_lat_lon[1], sw_lat_lon[0], 170),
(ne_lat_lon[1], ne_lat_lon[0], 170),
(sw_lat_lon[1], ne_lat_lon[0], 170)]), True,
True, 'relativeToGround')
self.cell_document.append(p)
# process line
self.current_line += 1
self.output_kml.append(self.cell_document)
print(self.output_kml.to_string(prettyprint=True))
def kml_file_from_polygons(polygons, kml_file):
if not isinstance(polygons, Iterable):
polygons = [polygons]
# Create the root KML object
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
# Create a KML Document and add it to the KML root object
d = kml.Document(ns, 'docid', 'Zone unexplored tiles',
'Zone unexplored tiles')
k.append(d)
# Create a KML Folder and add it to the Document
f = kml.Folder(ns)
d.append(f)
# Create a KML Folder and nest it in the first Folder
nf = kml.Folder(ns)
f.append(nf)
# Create a second KML Folder within the Document
f2 = kml.Folder(ns)
d.append(f2)
# ls = styles.LineStyle(ns, color='red', width=3)
# s1 = styles.Style(styles=[ls])
# Create a Placemark with a simple polygon geometry and add it to the
# second folder of the Document
for polygon in polygons:
# p = kml.Placemark(ns, styles=[s1])
p = kml.Placemark(ns)
p.geometry = polygon
f2.append(p)
with open(kml_file, 'w') as myfile:
myfile.write(k.to_string(prettyprint=True))
def write(self, record_set):
coord_folder = self.get_coord_folder(record_set.get('coordinate_set'))
coord_mark = fkml.Placemark(
ns=self.NS,
name=record_set.get('observation_date')[0].strftime(
self.TS_OUTPUT_FMT))
coord_mark.begin, coord_mark.end = record_set.get('observation_date')
coord_mark.visibility = 0
coord_mark.geometry = Geometry(
ns=self.NS,
geometry=Polygon(
*convert_grid_coords(record_set.get('polygon_point_bounds'))))
coord_data = [{
'name': 'uuid',
'value': record_set.get('uuid')
}, {
'name': 'wrs2_path_row',
'value': record_set.get('wrs2_path_row')
}, {
'name': 'netcdf_slice',
'value': record_set.get('netcdf_slice')
}]
for band in self.bands:
coord_data.append({
'name': 'band_{}'.format(band),
'value': record_set.get('band_{}'.format(band))
})
coord_mark.extended_data = fkml.SchemaData(
ns=self.NS,
schema_url=self.schema_set['placemark_metadata'],
data=coord_data)
coord_folder.append(coord_mark)
def nestedKMLSearch(kmlFolder):
gps = dict()
if type(kmlFolder) == type(list()):
for i in range(len(kmlFolder)):
gps = nestedKMLSearch(kmlFolder[i])
elif type(kmlFolder) == type(kml.Folder()):
f = list(kmlFolder.features())
if type(f[0]) == type(kml.Folder()):
gps = nestedKMLSearch(f[0])
else:
if type(f[0]) == type(kml.Placemark()):
for i in range(len(f)):
gps[f[i].name] = []
if "_geometry" in f[i].__dict__.keys():
if "geometry" in f[i].__dict__["_geometry"].__dict__.keys():
gps[f[i].name] = np.array(f[i].__dict__["_geometry"].__dict__["geometry"])
else:
# kmlFolder is a placemark
gps[kmlFolder.name] = []
if "_geometry" in kmlFolder.__dict__.keys():
if "geometry" in kmlFolder.__dict__["_geometry"].__dict__.keys():
gps[kmlFolder.name] = np.array(kmlFolder.__dict__["_geometry"].__dict__["geometry"])
return gps
def convert_to_kml(self):
output_filename = self.flight_name + ".kml"
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
d = kml.Document(ns)
k.append(d)
f = kml.Folder(ns)
d.append(f)
i = 0
for row in self.geotags_list:
row_num = [float(tag) for tag in row]
row_num[0], row_num[1] = row_num[1], row_num[0]
p = kml.Placemark(ns, str(i))
p.geometry = Point(row_num)
f.append(p)
i += 1
kml_file = open(output_filename, "w")
kml_file.write(k.to_string(prettyprint=True))
kml_file.close()
def convert(infilename, outfilename='doc.kml', namecolumn=0):
sf = shapefile.Reader(infilename)
k = kml.KML()
doc = kml.Document(name=infilename)
k.append(doc)
for sr in sf.shapeRecords():
if sr.shape.points:
pm = kml.Placemark(name=unicode(sr.record[namecolumn]),
description="test")
if not hasattr(sr.shape, '__geo_interface__'):
import ipdb
ipdb.set_trace()
pm.geometry = pygeoif.as_shape(sr.shape)
doc.append(pm)
if sr.shape.__geo_interface__ != pygeoif.as_shape(
sr.shape).__geo_interface__:
#import ipdb; ipdb.set_trace()
print sr.record
print len(sr.shape.__geo_interface__['coordinates']), len(
pygeoif.as_shape(
sr.shape).__geo_interface__['coordinates'])
print sr.shape.__geo_interface__['type'], pygeoif.as_shape(
sr.shape).__geo_interface__['type']
#for i in range(0,len(sr.shape.__geo_interface__['coordinates'])):
# print sr.shape.__geo_interface__['coordinates'][i] == pygeoif.as_shape(sr.shape).__geo_interface__['coordinates'][i]
xml = '<?xml version="1.0" encoding="UTF-8"?>' + k.to_string()
#try:
# xml = xml.decode('utf-8', 'ignore')
#except:
# pass
#xml = xml.encode('utf-8')
out = open(outfilename, 'w')
out.write(xml)
out.close()
def gen_kml(fname, traj_data, traj_stats, traj_id_list, traj_name_list=None):
"""Generate KML file"""
assert (len(traj_id_list) > 0)
if traj_name_list:
assert (len(traj_id_list) == len(traj_name_list))
k = kml.KML()
ns = '{http://www.opengis.net/kml/2.2}'
stid = 'style1'
# colors in KML: aabbggrr, aa=00 is fully transparent
# developers.google.com/kml/documentation/kmlreference?hl=en#colorstyle
st = styles.Style(id=stid,
styles=[styles.LineStyle(color='2f0000ff',
width=3)]) # transparent red
doc = kml.Document(ns,
'001',
'Trajectories',
'Trajectory visualization',
styles=[st])
k.append(doc)
stats = traj_stats[traj_stats['Trajectory_ID'].isin(traj_id_list)]
assert (stats.shape[0] == len(traj_id_list))
pm_traj = []
pm_photo = []
for i in range(len(stats.index)):
ri = stats.index[i]
traj_id = stats.ix[ri]['Trajectory_ID']
photos = traj_data[traj_data['Trajectory_ID'] == traj_id]
lngs = [lng for lng in photos['Longitude'].tolist()]
lats = [lat for lat in photos['Latitude'].tolist()]
name = 'Trajectory_' + str(traj_id)
if traj_name_list: name += '_' + traj_name_list[i]
desc = 'User_ID: ' + str(stats.ix[ri]['User_ID']) + \
'<br/>Start_Time: ' + str(stats.ix[ri]['Start_Time']) + \
'<br/>Travel_Distance: ' + str(round(stats.ix[ri]['Travel_Distance(km)'], 2)) + ' km' + \
'<br/>Total_Time: ' + str(round(stats.ix[ri]['Total_Time(min)'], 2)) + ' min' + \
'<br/>Average_Speed: ' + str(round(stats.ix[ri]['Average_Speed(km/h)'], 2)) + ' km/h' + \
'<br/>#Photos: ' + str(stats.ix[ri]['#Photo']) + \
'<br/>Photos: ' + str(photos['Photo_ID'].tolist())
pm = kml.Placemark(ns, str(traj_id), name, desc, styleUrl='#' + stid)
pm.geometry = LineString([(lngs[j], lats[j])
for j in range(len(lngs))])
pm_traj.append(pm)
for rj in photos.index:
name = 'Photo_' + str(photos.ix[rj]['Photo_ID'])
desc = 'Trajectory_ID: ' + str(traj_id) + \
'<br/>Photo_ID: ' + str(photos.ix[rj]['Photo_ID']) + \
'<br/>User_ID: ' + str(photos.ix[rj]['User_ID']) + \
'<br/>Timestamp: ' + str(photos.ix[rj]['Timestamp']) + \
'<br/>Coordinates: (' + str(photos.ix[rj]['Longitude']) + ', ' + str(photos.ix[rj]['Latitude']) + ')' + \
'<br/>Accuracy: ' + str(photos.ix[rj]['Accuracy']) + \
'<br/>URL: ' + str(photos.ix[rj]['URL'])
pm = kml.Placemark(ns, str(photos.ix[rj]['Photo_ID']), name, desc)
pm.geometry = Point(photos.ix[rj]['Longitude'],
photos.ix[rj]['Latitude'])
pm_photo.append(pm)
for pm in pm_traj:
doc.append(pm)
for pm in pm_photo:
doc.append(pm)
kmlstr = k.to_string(prettyprint=True)
with open(fname, 'w') as f:
f.write('<?xml version="1.0" encoding="UTF-8"?>\n')
f.write(kmlstr)
