def new_map(self, mapa, layer, tab_sufix, objs, values, tab_subname=''):
"""Return
"""
map_out = VectorTopo(mapa)
if objs == [] or objs is None:
return None
tab_sufix_out = OUT_TABLES_NAMES[tab_sufix]
tab_name = self.road_name + tab_sufix_out + tab_subname
columns = OUT_TABLES[tab_sufix]
if layer == 1:
map_out.open('w', layer=layer, with_z=True, tab_name=tab_name,
tab_cols=columns)
else:
map_out.open('rw')
link = Link(layer, tab_name, tab_name, 'cat' + str(layer))
map_out.dblinks.add(link)
table = link.table()
if not table.exist():
table.create(columns)
table.conn.commit()
map_out.close()
map_out.open('rw', layer=layer, with_z=True)
for i, obj in enumerate(objs):
map_out.write(obj, i + 1, values[i])
map_out.table.conn.commit()
map_out.close()
def extract_training(vect, tvect, tlayer):
"""Assign a class to all the areas that contained, are contained
or intersect a training vector"""
msgr = get_msgr()
tname, tmset = tvect.split('@') if '@' in tvect else (tvect, '')
vname, vmset = vect.split('@') if '@' in vect else (vect, '')
with VectorTopo(tname, tmset, mode='r') as trn:
with VectorTopo(vname, vmset, mode='r') as vct:
layer_num, layer_name = get_layer_num_name(vct, tlayer)
# instantiate the area objects
trn_area = Area(c_mapinfo=trn.c_mapinfo)
seg_area = Area(c_mapinfo=vct.c_mapinfo)
n_areas = trn.number_of('areas')
# check/remove/create a new table
table, create_link = make_new_table(vct, layer_name, force=True)
find_lines(table, [l for l in trn.viter('lines')], vct)
# find and save all the segments
find_area(table, trn.viter('areas', idonly=True), trn_area,
seg_area, n_areas, vct)
check_balance(table, trn.table)
if create_link:
msgr.message(_("Connect the new table to the vector map..."))
with Vector(vect, mode='rw') as seg:
link = Link(layer_num, name=layer_name, table=table.name)
seg.dblinks.add(link)
seg.build()
def main(opt, flg):
#
# Set check variables
#
overwrite = True
rasters = opt['rasters'].split(',') if opt['rasters'] else []
rprefix = opt['rprefix'].split(',') if opt['rprefix'] else []
def split(x): return x.split('@') if '@' in x else (x, '')
vname, vmset = split(opt['vector'])
shpcsv = opt['shpcsv'] if opt['shpcsv'] else vname + '.csv'
rstcsv = (opt['rstcsv'].split(',') if opt['rstcsv']
else [split(rst)[0] + '.csv' for rst in rasters])
zones = opt['zones'] if opt['zones'] else vname + '_zones'
nprocs = int(opt.get('nprocs', 1))
if rasters:
if rprefix and len(rasters) != len(rprefix):
raise
if len(rasters) != len(rstcsv):
raise
prefixes = rprefix if rprefix else rasters
skipshp = opt['skipshape'].split(',') if opt['skipshape'] else []
skiprst = opt['skipunivar'].split(',') if opt['skipunivar'] else []
layer = int(opt['layer'])
newlayer = int(opt['newlayer'])
newlayername = (opt['newlayername'] if opt['newlayername']
else vname + '_stats')
newtabname = opt['newtabname'] if opt['newtabname'] else vname + '_stats'
rstpercentile = float(opt['rstpercentile'])
separator = opt.get('separator', ';')
#
# compute
#
if not os.path.exists(shpcsv):
get_shp_csv(opt['vector'], shpcsv, overwrite, separator)
if not get_mapset_raster(zones):
get_zones(opt['vector'], zones, layer)
if not rstcsv or not os.path.exists(rstcsv[0]):
get_rst_csv(rasters, zones, rstcsv, rstpercentile, overwrite,
nprocs, separator)
newlink = Link(newlayer, newlayername, newtabname)
newtab = newlink.table()
with Vector(vname, vmset, mode='r', layer=layer) as vct:
mode = 'r' if newlink in vct.dblinks else 'rw'
with VectorTopo(vname, vmset, mode=mode, layer=layer) as vct:
update_cols(newtab, shpcsv, rstcsv, prefixes, skipshp, skiprst, separator=separator)
if mode == 'rw':
# add the new link
vct.dblinks.add(newlink)
vct.build()
def export_results(vect_name,
results,
cats,
rlayer,
training=None,
cols=None,
overwrite=False,
append=False,
pkl=None):
if pkl:
res = open(pkl, 'w')
pickle.dump(results, res)
res.close()
# check if the link already exist
with Vector(vect_name, mode='r') as vct:
link = vct.dblinks.by_name(rlayer)
mode = 'r' if link else 'w'
print("Opening vector <%s>" % vect_name)
with Vector(vect_name, mode=mode) as vect:
if cols:
cols.insert(0, COLS[0])
tab = link.table() if link else Table(rlayer, vect.table.conn)
if tab.exist() and append:
columns_to_up = []
# add the column to the table
for cname, ctype in cols:
columns_to_up.append("%s=?" % cname)
if cname not in tab.columns:
tab.columns.add(cname, ctype)
upsql = "UPDATE %s SET %s WHERE %s=%s"
up = upsql % (tab.name, ','.join(columns_to_up), tab.key, '?')
else:
if tab.exist():
print("Table <%s> already exist, will be removed." %
tab.name)
tab.drop(force=True)
print("Ceating a new table <%s>." % rlayer)
tab.create(cols)
up = ''
export2onesqlite(tab, cats.astype(int), up,
*[cls['predict'].astype(int) for cls in results])
if mode == 'w':
nlyr = len(vect.dblinks) + 1
link = Link(nlyr, tab.name, tab.name)
vect.dblinks.add(link)
vect.build()
else:
for cls in results:
create_tab(vect, cls['name'], cats, cls['predict'], training,
COLS if training else COLS[:2])
def _create_table(self):
"""Return"""
link = Link(self.layer, self.tab_name, self.tab_name, "cat" + str(self.layer))
self.polygon.dblinks.add(link)
table = link.table()
tab_sufix = self.name
if self.name == "":
tab_sufix = "first"
TABLES[tab_sufix][0] = ("cat" + str(self.layer), "INTEGER PRIMARY KEY")
if not table.exist():
table.create(TABLES[tab_sufix])
table.conn.commit()
def create_tab(vect, tab_name, cats, clsses, cols, training=None):
cur = vect.table.conn.cursor()
table = Table(tab_name, vect.table.conn)
add_link = True
if table.exist():
print("Table <%s> already exist, will be removed." % tab_name)
table.drop(cursor=cur)
add_link = False
print("Ceating a new table <%s>." % tab_name)
table.create(cols, cursor=cur)
export2sqlite(table, cats, clsses,
Table(training, vect.table.conn) if training else None)
cur.close()
if add_link:
vect.dblinks.add(
Link(layer=len(vect.dblinks) + 1, name=tab_name, table=tab_name))
def _create_table(self):
"""Return
"""
link = Link(self.layer, self.tab_name, self.tab_name,
'cat' + str(self.layer))
self.polygon.dblinks.add(link)
table = link.table()
tab_sufix = self.name
if self.name == '':
tab_sufix = 'first'
TABLES[tab_sufix][0] = (u'cat' + str(self.layer),
u'INTEGER PRIMARY KEY')
if not table.exist():
table.create(TABLES[tab_sufix])
table.conn.commit()
def create_db_links(self, vect_map, linking_elem):
"""vect_map an open vector map
"""
dblinks = {}
for layer_name, layer_dscr in linking_elem.iteritems():
# Create DB links
dblink = Link(layer=layer_dscr.layer_number,
name=layer_name,
table=vect_map.name + layer_dscr.table_suffix,
key='cat')
# add link to vector map
if dblink not in vect_map.dblinks:
vect_map.dblinks.add(dblink)
# create table
dbtable = dblink.table()
dbtable.create(layer_dscr.cols, overwrite=True)
dblinks[layer_name] = self.LinkDescr(dblink.layer, dbtable)
return dblinks
def open(
self,
mode=None,
layer=1,
overwrite=None,
with_z=None,
# parameters valid only if mode == 'w'
tab_name="",
tab_cols=None,
link_name=None,
link_key="cat",
link_db="$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db",
link_driver="sqlite",
):
"""Open a Vector map.
:param mode: open a vector map in ``r`` in reading, ``w`` in writing
and in ``rw`` read and write mode
:type mode: str
:param layer: specify the layer that you want to use
:type layer: int
:param overwrite: valid only for ``w`` mode
:type overwrite: bool
:param with_z: specify if vector map must be open with third dimension
enabled or not. Valid only for ``w`` mode,
default: False
:type with_z: bool
:param tab_name: define the name of the table that will be generate
:type tab_name: str
:param tab_cols: define the name and type of the columns of the
attribute table of the vecto map
:type tab_cols: list of pairs
:param link_name: define the name of the link connecttion with the
database
:type link_name: str
:param link_key: define the nema of the column that will be use as
vector category
:type link_key: str
:param link_db: define the database connection parameters
:type link_db: str
:param link_driver: define witch database driver will be used
:param link_driver: str
Some of the parameters are valid only with mode ``w`` or ``rw``
See more examples in the documentation of the ``read`` and ``write``
methods
"""
self.mode = mode if mode else self.mode
with_z = libvect.WITH_Z if with_z else libvect.WITHOUT_Z
# check if map exists or not
if not self.exist() and self.mode != "w":
raise OpenError("Map <%s> not found." % self._name)
if libvect.Vect_set_open_level(self._topo_level) != 0:
raise OpenError("Invalid access level.")
# update the overwrite attribute
self.overwrite = overwrite if overwrite is not None else self.overwrite
# check if the mode is valid
if self.mode not in ("r", "rw", "w"):
raise ValueError("Mode not supported. Use one of: 'r', 'rw', 'w'.")
# check if the map exist
if self.exist() and self.mode in ("r", "rw"):
# open in READ mode
if self.mode == "r":
openvect = libvect.Vect_open_old2(self.c_mapinfo, self.name,
self.mapset, str(layer))
# open in READ and WRITE mode
elif self.mode == "rw":
openvect = libvect.Vect_open_update2(self.c_mapinfo, self.name,
self.mapset, str(layer))
# instantiate class attributes
self.dblinks = DBlinks(self.c_mapinfo)
# If it is opened in write mode
if self.mode == "w":
openvect = libvect.Vect_open_new(self.c_mapinfo, self.name, with_z)
self.dblinks = DBlinks(self.c_mapinfo)
if self.mode in ("w", "rw") and tab_cols:
# create a link
link = Link(
layer,
link_name if link_name else self.name,
tab_name if tab_name else self.name,
link_key,
link_db,
link_driver,
)
# add the new link
self.dblinks.add(link)
# create the table
table = link.table()
table.create(tab_cols, overwrite=overwrite)
table.conn.commit()
# check the C function result.
if openvect == -1:
str_err = "Not able to open the map, C function return %d."
raise OpenError(str_err % openvect)
# Load attribute table for selected layer.
if len(self.dblinks) == 0:
self.layer = layer
self.table = None
self.n_lines = 0
else:
layer_db_link = self.dblinks.by_layer(layer)
if not layer_db_link:
raise LookupError(
"There appears to be no database link for layer %d of <%s>."
% (layer, self.name))
if layer_db_link.layer != layer:
raise RuntimeError(
"The databse link for layer %d of <%s> references layer %d."
% (layer, self.name, layer_db_link.layer))
self.layer = layer
try:
self.table = layer_db_link.table()
except Exception as error:
raise RuntimeError(
"Loading the attribute table for layer %d of <%s> failed."
% (layer, self.name)) from error
self.n_lines = self.table.n_rows()
self.writeable = self.mapset == utils.getenv("MAPSET")
# Initialize the finder
self.find = {
"by_point":
PointFinder(self.c_mapinfo, self.table, self.writeable),
"by_bbox":
BboxFinder(self.c_mapinfo, self.table, self.writeable),
"by_polygon":
PolygonFinder(self.c_mapinfo, self.table, self.writeable),
}
self.find_by_point = self.find["by_point"]
self.find_by_bbox = self.find["by_bbox"]
self.find_by_polygon = self.find["by_polygon"]
def maps_rows_timestamps(parsed_obs, offering, new, seconds_granularity,
target, obs_props, epoch_s, epoch_e, i):
"""Import vectors with rows representing timestamps.
Layers represent output_offering_procedure and rows representing timestamps
:param parsed_obs: Observations for a given offering in geoJSON format
:param offering: A collection of sensors used to conveniently group them up
:param new: Given vector map which should be updated with new layers
:param seconds_granularity: Granularity in seconds
:param target: The target CRS for sensors
:param obs_props: Oberved properties
:param epoch_s: time.mktime standardized timestamp of the beginning of obs
:param epoch_e: time.mktime standardized timestamp of the end of obs
:param i: Index of the first free layer
"""
db = '$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db'
points = dict()
free_cat = 1
for propIndex in range(len(obs_props)):
obs_props[propIndex] = soslib.standardize_table_name(
[obs_props[propIndex]])
for key, observation in parsed_obs.items():
print('Working on the observed property {}'.format(key))
key = soslib.standardize_table_name([key])
data = json.loads(observation)
# get the transformation between source and target crs
crs = data['crs']
crs = int(crs['properties']['name'].split(':')[-1])
transform = soslib.get_transformation(crs, target)
empty_procs = list()
timestamp_pattern = 't%Y%m%dT%H%M%S' # TODO: Timezone
cur_layer = i
cols = [(u'connection', 'INTEGER'), (u'timestamp', 'VARCHAR')]
for obsProp in obs_props:
cols.append((u'{}'.format(obsProp), 'DOUBLE'))
if new.is_open() is True:
# close without printing that crazy amount of messages
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
new.open('rw')
else:
new.open('w')
for a in data['features']:
name = a['properties']['name']
table_name = soslib.standardize_table_name(
[options['output'], offering, name])
intervals = {}
for seconds_stamp in range(epoch_s, epoch_e + 1,
seconds_granularity):
intervals.update({seconds_stamp: dict()})
empty = True
for timestamp, value in a['properties'].items():
if timestamp != 'name':
if empty:
empty = False
observationstart_time = timestamp[:-4]
seconds_timestamp = int(
time.mktime(
time.strptime(observationstart_time,
timestamp_pattern)))
for interval in intervals.keys():
if interval <= seconds_timestamp < (
interval + seconds_granularity):
if name in intervals[interval].keys():
intervals[interval][name].append(float(value))
else:
intervals[interval].update(
{name: [float(value)]})
break
if empty:
# in value, there is name of the last proc
empty_procs.append(value)
if new.is_open() is True:
# close without printing that crazy amount of messages
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
new.open('rw')
yet_existing = False
if not new.dblinks.by_name(table_name):
link = Link(layer=cur_layer,
name=table_name,
table=table_name,
key='connection',
database=db,
driver='sqlite')
new.dblinks.add(link)
new.table = new.dblinks[cur_layer - 1].table()
new.table.create(cols)
else:
yet_existing = True
# open the right layer
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
new.open('rw', layer=cur_layer)
if name not in points.keys():
points.update({name: free_cat})
# transform the geometry into the target crs
sx, sy, sz = a['geometry']['coordinates']
point = ogr.CreateGeometryFromWkt('POINT ({} {} {})'.format(
sx, sy, sz))
point.Transform(transform)
coords = (point.GetX(), point.GetY(), point.GetZ())
new.write(Point(*coords), cat=free_cat)
free_cat += 1
inserts = dict()
# create attr tab inserts for empty procs
for emptyProc in empty_procs:
insert = [None] * len(cols)
insert[0] = points[emptyProc]
insert[1] = emptyProc
inserts.update({emptyProc: insert})
# create attr tab inserts for procs with observations
for interval in intervals.keys():
if len(intervals[interval]) != 0:
timestamp = datetime.datetime.fromtimestamp(
interval).strftime('t%Y%m%dT%H%M%S')
for name, values in intervals[interval].items():
if options['method'] == 'average':
aggregated_value = sum(values) / len(values)
elif options['method'] == 'sum':
aggregated_value = sum(values)
if yet_existing:
a = read_command(
'db.select',
sql='SELECT COUNT(*) FROM {} WHERE '
'timestamp="{}"'.format(table_name, timestamp))
if a.split('\n')[1] != '0':
run_command('db.execute',
sql='UPDATE {} SET {}={} WHERE '
'timestamp="{}";'.format(
table_name, key,
aggregated_value, timestamp))
continue
# if name not in inserts.keys():
insert = [None] * len(cols)
insert[0] = points[name]
insert[1] = timestamp
insert[cols.index((key, 'DOUBLE'))] = aggregated_value
new.table.insert(tuple(insert))
new.table.conn.commit()
cur_layer += 1
new.close()
def maps_rows_sensors(parsed_obs, offering, new, seconds_granularity, target,
epoch_s, epoch_e, i):
"""Import vectors with rows representing procedures.
Layers represent output_offering_observedproperties and rows represent
procedures
:param parsed_obs: Observations for a given offering in geoJSON format
:param offering: A collection of sensors used to conveniently group them up
:param new: Given vector map which should be updated with new layers
:param seconds_granularity: Granularity in seconds
:param target: The target CRS for sensors
:param epoch_s: time.mktime standardized timestamp of the beginning of obs
:param epoch_e: time.mktime standardized timestamp of the end of obs
:param i: Index of the first free layer
"""
free_cat = 1
for key, observation in parsed_obs.items():
points = {}
table_name = soslib.standardize_table_name(
[options['output'], offering, key])
data = json.loads(observation)
# get the transformation between source and target crs
crs = data['crs']
crs = int(crs['properties']['name'].split(':')[-1])
transform = soslib.get_transformation(crs, target)
intervals = {}
for seconds_stamp in range(epoch_s, epoch_e + 1, seconds_granularity):
intervals.update({seconds_stamp: dict()})
empty_procs = list()
timestamp_pattern = 't%Y%m%dT%H%M%S' # TODO: Timezone
coords_dict = {}
cols = [(u'cat', 'INTEGER PRIMARY KEY'), (u'name', 'VARCHAR')]
if new.is_open() is True:
# close without printing that crazy amount of messages
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
new.open('rw')
else:
new.open('w')
for a in data['features']:
name = a['properties']['name']
empty = True
if name not in points.keys():
points.update({name: free_cat})
# transform the geometry into the target crs
sx, sy, sz = a['geometry']['coordinates']
point = ogr.CreateGeometryFromWkt('POINT ({} {} {})'.format(
sx, sy, sz))
point.Transform(transform)
coords = (point.GetX(), point.GetY(), point.GetZ())
coords_dict.update({free_cat: coords})
free_cat += 1
for timestamp, value in a['properties'].items():
if timestamp != 'name':
if empty:
empty = False
observationstart_time = timestamp[:-4]
seconds_timestamp = int(
time.mktime(
time.strptime(observationstart_time,
timestamp_pattern)))
for interval in intervals.keys():
if interval <= seconds_timestamp < (
interval + seconds_granularity):
if name in intervals[interval].keys():
intervals[interval][name].append(float(value))
else:
timestamp2 = datetime.datetime.fromtimestamp(
interval).strftime('t%Y%m%dT%H%M%S')
intervals[interval].update(
{name: [float(value)]})
if (u'%s' % timestamp2, 'DOUBLE') not in cols:
cols.append((u'%s' % timestamp2, 'DOUBLE'))
break
if empty:
# in value, there is name of the last proc
empty_procs.append(value)
if len(cols) > 2000:
grass.warning(
'Recommended number of columns is less than 2000, you have '
'reached {}\nYou should set an event_time with a smaller range'
' or recompile SQLite limits as described at '
'https://sqlite.org/limits.html'.format(len(cols)))
link = Link(
layer=i,
name=table_name,
table=table_name,
key='cat',
database='$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db',
driver='sqlite')
if new.is_open():
new.close()
new.open('rw')
new.dblinks.add(link)
new.table = new.dblinks[i - 1].table()
new.table.create(cols)
inserts = dict()
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
new.open('rw', layer=i)
for cat, coords in coords_dict.items():
new.write(Point(*coords), cat=cat)
# create attr tab inserts for empty procs
for emptyProc in empty_procs:
insert = [None] * len(cols)
insert[0] = points[emptyProc]
insert[1] = emptyProc
inserts.update({emptyProc: insert})
# create attr tab inserts for procs with observations
for interval in intervals.keys():
if len(intervals[interval]) != 0:
timestamp = datetime.datetime.fromtimestamp(interval).strftime(
't%Y%m%dT%H%M%S')
for name, values in intervals[interval].items():
if options['method'] == 'average':
aggregated_value = sum(values) / len(values)
elif options['method'] == 'sum':
aggregated_value = sum(values)
if name not in inserts.keys():
insert = [None] * len(cols)
insert[0] = points[name]
insert[1] = name
insert[cols.index(
(timestamp, 'DOUBLE'))] = aggregated_value
inserts.update({name: insert})
else:
inserts[name][cols.index(
(timestamp, 'DOUBLE'))] = aggregated_value
for insert in inserts.values():
new.table.insert(tuple(insert))
new.table.conn.commit()
i += 1
# to avoid printing that crazy amount of messages
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
def create_maps(parsed_obs, offering, seconds_granularity, event_time):
"""Create vector map representing offerings and observed properties.
:param parsed_obs: Observations for a given offering in geoJSON format
:param offering: A collection of sensors used to conveniently group them up
:param seconds_granularity: Granularity in seconds
:param event_time:
"""
timestamp_pattern = '%Y-%m-%dT%H:%M:%S' # TODO: Timezone
start_time = event_time.split('+')[0]
epoch_s = int(time.mktime(time.strptime(start_time, timestamp_pattern)))
end_time = event_time.split('+')[1].split('/')[1]
epoch_e = int(time.mktime(time.strptime(end_time, timestamp_pattern)))
for key, observation in parsed_obs.items():
run_command('g.message',
message='Creating vector maps for {}...'.format(key))
map_name = '{}_{}_{}'.format(options['output'], offering, key)
if ':' in map_name:
map_name = '_'.join(map_name.split(':'))
if '-' in map_name:
map_name = '_'.join(map_name.split('-'))
if '.' in map_name:
map_name = '_'.join(map_name.split('.'))
run_command('t.create',
output=map_name,
type='stvds',
title='Dataset for offering {} and observed '
'property {}'.format(offering, key),
description='Vector space time dataset')
free_cat = 1
points = dict()
new = VectorTopo(map_name)
if overwrite() is True:
try:
new.remove()
except:
pass
data = json.loads(observation)
cols = [(u'cat', 'INTEGER PRIMARY KEY'), (u'name', 'VARCHAR'),
(u'value', 'DOUBLE')]
intervals = {}
for secondsStamp in range(epoch_s, epoch_e + 1, seconds_granularity):
intervals.update({secondsStamp: dict()})
timestamp_pattern = 't%Y%m%dT%H%M%S' # TODO: Timezone
for a in data['features']:
name = a['properties']['name']
if a['properties']['name'] not in points.keys():
if new.is_open() is False:
new.open('w')
points.update({a['properties']['name']: free_cat})
new.write(Point(*a['geometry']['coordinates']))
free_cat += 1
for timestamp, value in a['properties'].items():
if timestamp != 'name':
observationstart_time = timestamp[:-4]
seconds_timestamp = int(
time.mktime(
time.strptime(observationstart_time,
timestamp_pattern)))
for interval in intervals.keys():
if interval <= seconds_timestamp < (
interval + seconds_granularity):
if name in intervals[interval].keys():
intervals[interval][name].append(float(value))
else:
intervals[interval].update(
{name: [float(value)]})
break
if new.is_open():
new.close(build=False)
run_command('v.build', map=map_name, quiet=True)
i = 1
layers_timestamps = list()
for interval in intervals.keys():
if len(intervals[interval]) != 0:
timestamp = datetime.datetime.fromtimestamp(interval).strftime(
't%Y%m%dT%H%M%S')
table_name = '{}_{}_{}_{}'.format(options['output'], offering,
key, timestamp)
if ':' in table_name:
table_name = '_'.join(table_name.split(':'))
if '-' in table_name:
table_name = '_'.join(table_name.split('-'))
if '.' in table_name:
table_name = '_'.join(table_name.split('.'))
new.open('rw')
db = '$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db'
link = Link(layer=i,
name=table_name,
table=table_name,
key='cat',
database=db,
driver='sqlite')
new.dblinks.add(link)
new.table = new.dblinks[i - 1].table()
new.table.create(cols)
i += 1
layers_timestamps.append(timestamp)
for name, values in intervals[interval].items():
if options['method'] == 'average':
aggregated_value = sum(values) / len(values)
elif options['method'] == 'sum':
aggregated_value = sum(values)
new.table.insert(
tuple([points[name], name, aggregated_value]))
new.table.conn.commit()
new.close(build=False)
run_command('v.build', map=map_name, quiet=True)
create_temporal(map_name, i, layers_timestamps)
def main(opt, flg):
#
# Set check variables
#
overwrite = True
rasters = opt["rasters"].split(",") if opt["rasters"] else []
rprefix = opt["rprefix"].split(",") if opt["rprefix"] else []
def split(x):
return x.split("@") if "@" in x else (x, "")
vname, vmset = split(opt["vector"])
shpcsv = opt["shpcsv"] if opt["shpcsv"] else vname + ".csv"
rstcsv = (opt["rstcsv"].split(",") if opt["rstcsv"] else
[split(rst)[0] + ".csv" for rst in rasters])
zones = opt["zones"] if opt["zones"] else vname + "_zones"
nprocs = int(opt.get("nprocs", 1))
if rasters:
if rprefix and len(rasters) != len(rprefix):
raise
if len(rasters) != len(rstcsv):
raise
prefixes = rprefix if rprefix else rasters
else:
prefixes = None
skipshp = opt["skipshape"].split(",") if opt["skipshape"] else []
skiprst = opt["skipunivar"].split(",") if opt["skipunivar"] else []
layer = int(opt["layer"])
newlayer = int(opt["newlayer"])
newlayername = opt["newlayername"] if opt[
"newlayername"] else vname + "_stats"
newtabname = opt["newtabname"] if opt["newtabname"] else vname + "_stats"
rstpercentile = float(opt["rstpercentile"])
separator = opt.get("separator", ";")
#
# compute
#
if not os.path.exists(shpcsv):
get_shp_csv(opt["vector"], shpcsv, overwrite, separator)
if not get_mapset_raster(zones):
get_zones(opt["vector"], zones, layer)
if not rstcsv or not os.path.exists(rstcsv[0]):
get_rst_csv(rasters, zones, rstcsv, rstpercentile, overwrite, nprocs,
separator)
newlink = Link(newlayer, newlayername, newtabname)
newtab = newlink.table()
with Vector(vname, vmset, mode="r", layer=layer) as vct:
mode = "r" if newlink in vct.dblinks else "rw"
with VectorTopo(vname, vmset, mode=mode, layer=layer) as vct:
update_cols(newtab,
shpcsv,
rstcsv,
prefixes,
skipshp,
skiprst,
separator=separator)
if mode == "rw":
# add the new link
vct.dblinks.add(newlink)
vct.build()
def write_structures(
plants,
output,
elev,
stream=None,
ndigits=0,
resolution=None,
contour="",
overwrite=False,
):
"""Write a vector map with the plant structures"""
def write_hydrostruct(out, hydro, plant):
pot = plant.potential_power(
intakes=[
hydro.intake,
]
)
(plant_id, itk_id, side, disch, gross_head) = (
plant.id,
hydro.intake.id,
hydro.side,
float(hydro.intake.discharge),
float(hydro.intake.elevation - plant.restitution.elevation),
)
out.write(hydro.conduct, (plant_id, itk_id, disch, 0.0, 0.0, "conduct", side))
out.write(
hydro.penstock, (plant_id, itk_id, disch, gross_head, pot, "penstock", side)
)
out.table.conn.commit()
tab_cols = [
(u"cat", "INTEGER PRIMARY KEY"),
(u"plant_id", "VARCHAR(10)"),
(u"intake_id", "INTEGER"),
(u"discharge", "DOUBLE"),
(u"gross_head", "DOUBLE"),
(u"power", "DOUBLE"),
(u"kind", "VARCHAR(10)"),
(u"side", "VARCHAR(10)"),
]
with VectorTopo(output, mode="w", overwrite=overwrite) as out:
link = Link(layer=1, name=output, table=output, driver="sqlite")
out.open("w")
out.dblinks.add(link)
out.table = out.dblinks[0].table()
out.table.create(tab_cols)
print("Number of plants: %d" % len(plants))
# check if contour vector map is provide by the user
if contour:
cname, cmset = contour.split("@") if "@" in contour else (contour, "")
# check if the map already exist
if bool(utils.get_mapset_vector(cname, cmset)) and overwrite:
compute_contour = True
remove = False
else:
# create a random name
contour = "tmp_struct_contour_%05d_%03d" % (
os.getpid(),
random.randint(0, 999),
)
compute_contour = True
remove = True
if compute_contour:
# compute the levels of the contour lines map
levels = []
for p in plants.values():
for itk in p.intakes:
levels.append(
closest(itk.elevation, ndigits=ndigits, resolution=resolution)
)
levels = sorted(set(levels))
# generate the contur line that pass to the point
r.contour(
input="%s@%s" % (elev.name, elev.mapset),
output=contour,
step=0,
levels=levels,
overwrite=True,
)
# open the contur lines
with VectorTopo(contour, mode="r") as cnt:
for plant in plants.values():
print(plant.id)
for options in plant.structures(
elev,
stream=stream,
ndigits=ndigits,
resolution=resolution,
contour=cnt,
):
for hydro in options:
print("writing: ", hydro.intake)
write_hydrostruct(out, hydro, plant)
if remove:
cnt.remove()
def write_structures(plants,
output,
elev,
stream=None,
ndigits=0,
resolution=None,
contour='',
overwrite=False):
"""Write a vector map with the plant structures"""
def write_hydrostruct(out, hydro, plant):
pot = plant.potential_power(intakes=[
hydro.intake,
])
(plant_id, itk_id, side, disch,
gross_head) = (plant.id, hydro.intake.id, hydro.side,
float(hydro.intake.discharge),
float(hydro.intake.elevation -
plant.restitution.elevation))
out.write(hydro.conduct,
(plant_id, itk_id, disch, 0., 0., 'conduct', side))
out.write(hydro.penstock,
(plant_id, itk_id, disch, gross_head, pot, 'penstock', side))
out.table.conn.commit()
tab_cols = [
(u'cat', 'INTEGER PRIMARY KEY'),
(u'plant_id', 'VARCHAR(10)'),
(u'intake_id', 'INTEGER'),
(u'discharge', 'DOUBLE'),
(u'gross_head', 'DOUBLE'),
(u'power', 'DOUBLE'),
(u'kind', 'VARCHAR(10)'),
(u'side', 'VARCHAR(10)'),
]
with VectorTopo(output, mode='w', overwrite=overwrite) as out:
link = Link(layer=1, name=output, table=output, driver='sqlite')
out.open('w')
out.dblinks.add(link)
out.table = out.dblinks[0].table()
out.table.create(tab_cols)
print('Number of plants: %d' % len(plants))
# check if contour vector map is provide by the user
if contour:
cname, cmset = (contour.split('@') if '@' in contour else
(contour, ''))
# check if the map already exist
if bool(utils.get_mapset_vector(cname, cmset)) and overwrite:
compute_contour = True
remove = False
else:
# create a random name
contour = 'tmp_struct_contour_%05d_%03d' % (os.getpid(),
random.randint(0, 999))
compute_contour = True
remove = True
if compute_contour:
# compute the levels of the contour lines map
levels = []
for p in plants.values():
for itk in p.intakes:
levels.append(
closest(itk.elevation,
ndigits=ndigits,
resolution=resolution))
levels = sorted(set(levels))
# generate the contur line that pass to the point
r.contour(input='%s@%s' % (elev.name, elev.mapset),
output=contour,
step=0,
levels=levels,
overwrite=True)
# open the contur lines
with VectorTopo(contour, mode='r') as cnt:
for plant in plants.values():
print(plant.id)
for options in plant.structures(elev,
stream=stream,
ndigits=ndigits,
resolution=resolution,
contour=cnt):
for hydro in options:
print('writing: ', hydro.intake)
write_hydrostruct(out, hydro, plant)
if remove:
cnt.remove()
def open(
self,
mode=None,
layer=1,
overwrite=None,
with_z=None,
# parameters valid only if mode == 'w'
tab_name='',
tab_cols=None,
link_name=None,
link_key='cat',
link_db='$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db',
link_driver='sqlite'):
"""Open a Vector map.
:param mode: open a vector map in ``r`` in reading, ``w`` in writing
and in ``rw`` read and write mode
:type mode: str
:param layer: specify the layer that you want to use
:type layer: int
:param overwrite: valid only for ``w`` mode
:type overwrite: bool
:param with_z: specify if vector map must be open with third dimension
enabled or not. Valid only for ``w`` mode,
default: False
:type with_z: bool
:param tab_name: define the name of the table that will be generate
:type tab_name: str
:param tab_cols: define the name and type of the columns of the
attribute table of the vecto map
:type tab_cols: list of pairs
:param link_name: define the name of the link connecttion with the
database
:type link_name: str
:param link_key: define the nema of the column that will be use as
vector category
:type link_key: str
:param link_db: define the database connection parameters
:type link_db: str
:param link_driver: define witch database driver will be used
:param link_driver: str
Some of the parameters are valid only with mode ``w`` or ``rw``
See more examples in the documentation of the ``read`` and ``write``
methods
"""
with_z = libvect.WITH_Z if with_z else libvect.WITHOUT_Z
# check if map exists or not
if not self.exist() and mode != 'w':
raise OpenError("Map <%s> not found." % self._name)
if libvect.Vect_set_open_level(self._topo_level) != 0:
raise OpenError("Invalid access level.")
# update the overwrite attribute
self.overwrite = overwrite if overwrite is not None else self.overwrite
# check if the mode is valid
if mode not in ('r', 'rw', 'w'):
raise ValueError("Mode not supported. Use one of: 'r', 'rw', 'w'.")
# check if the map exist
if self.exist() and mode in ('r', 'rw'):
# open in READ mode
if mode == 'r':
openvect = libvect.Vect_open_old2(self.c_mapinfo, self.name,
self.mapset, str(layer))
# open in READ and WRITE mode
elif mode == 'rw':
openvect = libvect.Vect_open_update2(self.c_mapinfo, self.name,
self.mapset, str(layer))
# instantiate class attributes
self.dblinks = DBlinks(self.c_mapinfo)
# If it is opened in write mode
if mode == 'w':
openvect = libvect.Vect_open_new(self.c_mapinfo, self.name, with_z)
self.dblinks = DBlinks(self.c_mapinfo)
if tab_cols:
# create a link
link = Link(layer, link_name if link_name else self.name,
tab_name if tab_name else self.name, link_key,
link_db, link_driver)
# add the new link
self.dblinks.add(link)
# create the table
table = link.table()
table.create(tab_cols)
table.conn.commit()
# check the C function result.
if openvect == -1:
str_err = "Not able to open the map, C function return %d."
raise OpenError(str_err % openvect)
if len(self.dblinks) == 0:
self.layer = layer
self.table = None
self.n_lines = 0
else:
self.layer = self.dblinks.by_layer(layer).layer
self.table = self.dblinks.by_layer(layer).table()
self.n_lines = self.table.n_rows()
self.writable = self.mapset == functions.getenv("MAPSET")
self.find = {
'by_point': PointFinder(self.c_mapinfo, self.table, self.writable),
'by_box': BboxFinder(self.c_mapinfo, self.table, self.writable),
'by_polygon': PolygonFinder(self.c_mapinfo, self.table,
self.writable),
}
def create_maps(parsed_obs, offering, layer, new, secondsGranularity,
event_time, service):
"""
Add layers representing offerings and observed properties to the vector map
:param parsed_obs: Observations for a given offering in geoJSON format
:param offering: A collection of sensors used to conveniently group them up
:param layer: Count of yet existing layers in vector map
:param new: Given vector map which should be updated with new layers
:param secondsGranularity: Granularity in seconds
"""
i = layer + 1
points = dict()
freeCat = 1
if flags['s']:
# Set target projection of current LOCATION
target_crs = grass.read_command('g.proj',
flags='fj').rstrip(os.linesep)
target = osr.SpatialReference(target_crs)
target.ImportFromProj4(target_crs)
if target == 'XY location (unprojected)':
grass.fatal("Sorry, XY locations are not supported!")
# The following is work in progress
cols = [(u'cat', 'INTEGER PRIMARY KEY'), (u'name', 'varchar'),
(u'description', 'varchar'), (u'keywords', 'varchar'),
(u'sensor_type', 'varchar'), (u'system_type', 'varchar'),
(u'crs', 'INTEGER'), (u'x', 'DOUBLE'), (u'y', 'DOUBLE'),
(u'z', 'DOUBLE')]
# new = Vector(new)
if new.is_open() is False:
new.open('w', tab_name=options['output'], tab_cols=cols)
offs = [o.id for o in service.offerings]
off_idx = offs.index(offering)
outputFormat = service.get_operation_by_name(
'DescribeSensor').parameters['outputFormat']['values'][0]
procedures = service.offerings[off_idx].procedures
for proc in procedures:
response = service.describe_sensor(procedure=proc,
outputFormat=outputFormat)
root = SensorML(response)
system = root.members[0]
name = system.name
desc = system.description
keywords = ','.join(system.keywords)
sensType = system.classifiers['Sensor Type'].value
sysType = system.classifiers['System Type'].value
crs = int(system.location[0].attrib['srsName'].split(':')[1])
coords = system.location[0][0].text.replace('\n', '')
sx = float(coords.split(',')[0])
sy = float(coords.split(',')[1])
sz = float(coords.split(',')[2])
# Set source projection from SOS
source = osr.SpatialReference()
source.ImportFromEPSG(crs)
transform = osr.CoordinateTransformation(source, target)
point = ogr.CreateGeometryFromWkt('POINT ({} {} {})'.format(
sx, sy, sz))
point.Transform(transform)
x = point.GetX()
y = point.GetY()
z = point.GetZ()
if name not in points.keys():
points.update({name: freeCat})
point = Point(x, y, z)
new.write(point,
cat=freeCat,
attrs=(
u'{}'.format(system.name.decode('utf-8')),
system.description,
','.join(system.keywords),
system.classifiers['Sensor Type'].value,
system.classifiers['System Type'].value,
crs,
float(coords.split(',')[0]),
float(coords.split(',')[1]),
float(coords.split(',')[2]),
))
freeCat += 1
new.table.conn.commit()
new.close(build=True)
else:
timestampPattern = '%Y-%m-%dT%H:%M:%S' # TODO: Timezone
startTime = event_time.split('+')[0]
epochS = int(time.mktime(time.strptime(startTime, timestampPattern)))
endTime = event_time.split('+')[1].split('/')[1]
epochE = int(time.mktime(time.strptime(endTime, timestampPattern)))
for key, observation in parsed_obs.iteritems():
tableName = '{}_{}_{}'.format(options['output'], offering, key)
if ':' in tableName:
tableName = '_'.join(tableName.split(':'))
if '-' in tableName:
tableName = '_'.join(tableName.split('-'))
if '.' in tableName:
tableName = '_'.join(tableName.split('.'))
data = json.loads(observation)
intervals = {}
for secondsStamp in range(epochS, epochE + 1, secondsGranularity):
intervals.update({secondsStamp: dict()})
timestampPattern = 't%Y%m%dT%H%M%S' # TODO: Timezone
cols = [(u'cat', 'INTEGER PRIMARY KEY'), (u'name', 'VARCHAR')]
for a in data['features']:
name = a['properties']['name']
if name not in points.keys():
if new.is_open() is False:
new.open('w')
points.update({name: freeCat})
new.write(Point(*a['geometry']['coordinates']),
cat=freeCat)
freeCat += 1
for timestamp, value in a['properties'].iteritems():
if timestamp != 'name':
observationStartTime = timestamp[:-4]
secondsTimestamp = int(
time.mktime(
time.strptime(observationStartTime,
timestampPattern)))
for interval in intervals.keys():
if secondsTimestamp >= interval \
and secondsTimestamp < (
interval + secondsGranularity):
if name in intervals[interval].keys():
intervals[interval][name].append(
float(value))
else:
timestamp2 = datetime.datetime.fromtimestamp(
interval).strftime('t%Y%m%dT%H%M%S')
intervals[interval].update(
{name: [float(value)]})
if (u'%s' % timestamp2,
'DOUBLE') not in cols:
cols.append(
(u'%s' % timestamp2, 'DOUBLE'))
break
if len(cols) > 2000:
grass.warning(
'Recommended number of columns is less than 2000, you have '
'reached {}\nYou should set an event_time with a smaller range'
' or recompile SQLite limits as described at '
'https://sqlite.org/limits.html'.format(len(cols)))
link = Link(
layer=i,
name=tableName,
table=tableName,
key='cat',
database='$GISDBASE/$LOCATION_NAME/$MAPSET/sqlite/sqlite.db',
driver='sqlite')
if new.is_open():
new.close()
new.open('rw')
new.dblinks.add(link)
new.table = new.dblinks[i - 1].table()
new.table.create(cols)
inserts = dict()
for interval in intervals.keys():
if len(intervals[interval]) != 0:
timestamp = datetime.datetime.fromtimestamp(
interval).strftime('t%Y%m%dT%H%M%S')
for name, values in intervals[interval].iteritems():
if options['method'] == 'average':
aggregatedValue = sum(values) / len(values)
elif options['method'] == 'sum':
aggregatedValue = sum(values)
if name not in inserts.keys():
insert = [None] * len(cols)
insert[0] = points[name]
insert[1] = name
insert[cols.index(
(timestamp, 'DOUBLE'))] = aggregatedValue
inserts.update({name: insert})
else:
inserts[name][cols.index(
(timestamp, 'DOUBLE'))] = aggregatedValue
for insert in inserts.values():
new.table.insert(tuple(insert))
new.table.conn.commit()
new.close(build=False)
run_command('v.build', quiet=True, map=options['output'])
i += 1