def execute(request):
"""Clips selected search results using the clip geometry.
:param request: json as a dict.
"""
clipped = 0
errors = 0
skipped = 0
global result_count
parameters = request['params']
# Retrieve clip geometry.
try:
clip_area = task_utils.get_parameter_value(parameters, 'clip_geometry', 'wkt')
if not clip_area:
clip_area = 'POLYGON ((-180 -90, -180 90, 180 90, 180 -90, -180 -90))'
except KeyError:
clip_area = 'POLYGON ((-180 -90, -180 90, 180 90, 180 -90, -180 -90))'
# Retrieve the coordinate system code.
out_coordinate_system = int(task_utils.get_parameter_value(parameters, 'output_projection', 'code'))
# Retrieve the output format, create mxd parameter and output file name values.
out_format = task_utils.get_parameter_value(parameters, 'output_format', 'value')
create_mxd = task_utils.get_parameter_value(parameters, 'create_mxd', 'value')
output_file_name = task_utils.get_parameter_value(parameters, 'output_file_name', 'value')
if not output_file_name:
output_file_name = 'clip_results'
# Create the temporary workspace if clip_feature_class:
out_workspace = os.path.join(request['folder'], 'temp')
if not os.path.exists(out_workspace):
os.makedirs(out_workspace)
# Set the output coordinate system.
if not out_coordinate_system == 0: # Same as Input
out_sr = task_utils.get_spatial_reference(out_coordinate_system)
arcpy.env.outputCoordinateSystem = out_sr
# Create the clip polygon geometry object in WGS84 projection.
gcs_sr = task_utils.get_spatial_reference(4326)
gcs_clip_poly = task_utils.from_wkt(clip_area, gcs_sr)
if not gcs_clip_poly.area > 0:
gcs_clip_poly = task_utils.from_wkt('POLYGON ((-180 -90, -180 90, 180 90, 180 -90, -180 -90))', gcs_sr)
# Set the output workspace.
status_writer.send_status(_('Setting the output workspace...'))
if not out_format == 'SHP':
out_workspace = arcpy.CreateFileGDB_management(out_workspace, 'output.gdb').getOutput(0)
arcpy.env.workspace = out_workspace
# Query the index for results in groups of 25.
headers = {'x-access-token': task_utils.get_security_token(request['owner'])}
result_count, response_index = task_utils.get_result_count(parameters)
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = '{0}{1}{2}'.format(sys.argv[2].split('=')[1], '/select?&wt=json', fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, '')
query += fq
elif 'ids' in parameters[response_index]:
groups = task_utils.grouper(list(parameters[response_index]['ids']), task_utils.CHUNK_SIZE, '')
else:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, '')
# Begin processing
status_writer.send_percent(0.0, _('Starting to process...'), 'clip_data')
for group in groups:
if fq:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
elif 'ids' in parameters[response_index]:
results = requests.get(query + '{0}&ids={1}'.format(fl, ','.join(group)), headers=headers)
else:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
# docs = eval(results.read().replace('false', 'False').replace('true', 'True').replace('null', 'None'))['response']['docs']
docs = results.json()['response']['docs']
input_items = task_utils.get_input_items(docs)
if not input_items:
input_items = task_utils.get_input_items(parameters[response_index]['response']['docs'])
input_rows = collections.defaultdict(list)
for doc in docs:
if 'path' not in doc:
input_rows[doc['name']].append(doc)
if input_rows:
result = clip_data(input_rows, out_workspace, out_coordinate_system, gcs_sr, gcs_clip_poly, out_format)
clipped += result[0]
errors += result[1]
skipped += result[2]
if input_items:
result = clip_data(input_items, out_workspace, out_coordinate_system, gcs_sr, gcs_clip_poly, out_format)
clipped += result[0]
errors += result[1]
skipped += result[2]
if not input_items and not input_rows:
status_writer.send_state(status.STAT_FAILED, _('No items to process. Check if items exist.'))
return
if arcpy.env.workspace.endswith('.gdb'):
out_workspace = os.path.dirname(arcpy.env.workspace)
if clipped > 0:
try:
if out_format == 'MPK':
mxd_template = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'supportfiles', 'MapTemplate.mxd')
mxd = task_utils.create_mxd(out_workspace, mxd_template, 'output')
status_writer.send_status(_("Packaging results..."))
task_utils.create_mpk(out_workspace, mxd, files_to_package)
shutil.move(os.path.join(out_workspace, 'output.mpk'),
os.path.join(os.path.dirname(out_workspace), '{0}.mpk'.format(output_file_name)))
elif out_format == 'LPK':
status_writer.send_status(_("Packaging results..."))
task_utils.create_lpk(out_workspace,output_file_name, files_to_package)
elif out_format == 'KML':
task_utils.convert_to_kml(os.path.join(out_workspace, "output.gdb"))
arcpy.env.workspace = ''
try:
arcpy.Delete_management(os.path.join(out_workspace, "output.gdb"))
except arcpy.ExecuteError:
pass
zip_file = task_utils.zip_data(out_workspace, '{0}.zip'.format(output_file_name))
shutil.move(zip_file, os.path.join(os.path.dirname(out_workspace), os.path.basename(zip_file)))
else:
if create_mxd:
mxd_template = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'supportfiles', 'MapTemplate.mxd')
task_utils.create_mxd(out_workspace, mxd_template, 'output')
zip_file = task_utils.zip_data(out_workspace, '{0}.zip'.format(output_file_name))
shutil.move(zip_file, os.path.join(os.path.dirname(out_workspace), os.path.basename(zip_file)))
except arcpy.ExecuteError as ee:
status_writer.send_state(status.STAT_FAILED, _(ee))
sys.exit(1)
else:
status_writer.send_state(status.STAT_FAILED, _('No output created. Zero inputs were clipped.'))
# Update state if necessary.
if errors > 0 or skipped > 0:
status_writer.send_state(status.STAT_WARNING, _('{0} results could not be processed').format(errors + skipped))
task_utils.report(os.path.join(request['folder'], '__report.json'), clipped, skipped, errors, errors_reasons, skipped_reasons)
def execute(request):
"""Converts each input dataset to kml (.kmz).
:param request: json as a dict.
"""
converted = 0
skipped = 0
errors = 0
global result_count
parameters = request['params']
out_workspace = os.path.join(request['folder'], 'temp')
if not os.path.exists(out_workspace):
os.makedirs(out_workspace)
# Get the boundary box extent for input to KML tools.
extent = ''
try:
try:
ext = task_utils.get_parameter_value(parameters,
'processing_extent', 'wkt')
if ext:
sr = task_utils.get_spatial_reference("4326")
extent = task_utils.from_wkt(ext, sr)
except KeyError:
ext = task_utils.get_parameter_value(parameters,
'processing_extent',
'feature')
if ext:
extent = arcpy.Describe(ext).extent
except KeyError:
pass
# Get the output file name.
output_file_name = task_utils.get_parameter_value(parameters,
'output_file_name',
'value')
if not output_file_name:
output_file_name = 'kml_results'
result_count, response_index = task_utils.get_result_count(parameters)
# Query the index for results in groups of 25.
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = '{0}{1}{2}'.format(sys.argv[2].split('=')[1], '/select?&wt=json',
fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, result_count),
task_utils.CHUNK_SIZE, '')
query += fq
elif 'ids' in parameters[response_index]:
groups = task_utils.grouper(list(parameters[response_index]['ids']),
task_utils.CHUNK_SIZE, '')
else:
groups = task_utils.grouper(range(0, result_count),
task_utils.CHUNK_SIZE, '')
# Begin processing
status_writer.send_percent(0.0, _('Starting to process...'),
'convert_to_kml')
headers = {
'x-access-token': task_utils.get_security_token(request['owner'])
}
for group in groups:
if fq:
results = requests.get(
query +
"&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]),
headers=headers)
elif 'ids' in parameters[response_index]:
results = requests.get(query +
'{0}&ids={1}'.format(fl, ','.join(group)),
headers=headers)
else:
results = requests.get(
query +
"&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]),
headers=headers)
docs = results.json()['response']['docs']
input_items = task_utils.get_input_items(docs)
if not input_items:
input_items = task_utils.get_input_items(
parameters[response_index]['response']['docs'])
input_rows = collections.defaultdict(list)
for doc in docs:
if 'path' not in doc:
input_rows[doc['name']].append(doc)
if input_rows:
result = convert_to_kml(input_rows, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if input_items:
result = convert_to_kml(input_items, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if not input_items and not input_rows:
status_writer.send_state(
status.STAT_FAILED,
_('No items to process. Check if items exist.'))
return
# Zip up kmz files if more than one.
if converted > 1:
status_writer.send_status("Converted: {}".format(converted))
zip_file = task_utils.zip_data(out_workspace,
'{0}.zip'.format(output_file_name))
shutil.move(
zip_file,
os.path.join(os.path.dirname(out_workspace),
os.path.basename(zip_file)))
shutil.copy2(
os.path.join(os.path.dirname(os.path.dirname(__file__)),
'supportfiles', '_thumb.png'), request['folder'])
elif converted == 1:
try:
kml_file = glob.glob(os.path.join(out_workspace, '*.kmz'))[0]
tmp_lyr = arcpy.KMLToLayer_conversion(kml_file, out_workspace,
'kml_layer')
task_utils.make_thumbnail(
tmp_lyr.getOutput(0),
os.path.join(request['folder'], '_thumb.png'))
except arcpy.ExecuteError:
pass
shutil.move(
kml_file,
os.path.join(request['folder'], os.path.basename(kml_file)))
# Update state if necessary.
if skipped > 0 or errors > 0:
status_writer.send_state(
status.STAT_WARNING,
_('{0} results could not be processed').format(errors + skipped))
task_utils.report(os.path.join(request['folder'],
'__report.json'), converted, skipped,
errors, errors_reasons, skipped_reasons)
def execute(request):
"""Builds raster pyramids for input raster datasets.
:param request: json as a dict.
"""
processed = 0
skipped = 0
parameters = request['params']
# Get the extent for for which to use to calculate statistics.
extent = ''
try:
try:
ext = task_utils.get_parameter_value(parameters,
'processing_extent', 'wkt')
if ext:
sr = task_utils.get_spatial_reference("4326")
extent = task_utils.from_wkt(ext, sr)
except KeyError:
ext = task_utils.get_parameter_value(parameters,
'processing_extent',
'feature')
if ext:
extent = arcpy.Describe(ext).extent
except KeyError:
pass
horizontal_skip_factor = task_utils.get_parameter_value(
parameters, 'horizontal_skip_factor', 'value')
vertical_skip_factor = task_utils.get_parameter_value(
parameters, 'vertical_skip_factor', 'value')
ignore_pixel_values = task_utils.get_parameter_value(
parameters, 'ignore_pixel_values', 'value')
# Create the task folder to hold report files.
task_folder = request['folder']
if not os.path.exists(task_folder):
os.makedirs(task_folder)
headers = {
'x-access-token': task_utils.get_security_token(request['owner'])
}
num_results, response_index = task_utils.get_result_count(parameters)
if num_results > task_utils.CHUNK_SIZE:
# Query the index for results in groups of 25.
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = '{0}{1}{2}'.format(sys.argv[2].split('=')[1],
'/select?&wt=json', fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, num_results),
task_utils.CHUNK_SIZE, '')
query += fq
elif 'ids' in parameters[response_index]:
groups = task_utils.grouper(
list(parameters[response_index]['ids']), task_utils.CHUNK_SIZE,
'')
else:
groups = task_utils.grouper(range(0, num_results),
task_utils.CHUNK_SIZE, '')
# Begin processing
status_writer.send_percent(0.0, _('Starting to process...'),
'calculate_raster_statistics')
i = 0.
for group in groups:
i += len(group) - group.count('')
if fq:
results = requests.get(query + "&rows={0}&start={1}".format(
task_utils.CHUNK_SIZE, group[0]),
verify=verify_ssl,
headers=headers)
elif 'ids' in parameters[response_index]:
results = requests.get(
query + '{0}&ids={1}'.format(fl, ','.join(group)),
verify=verify_ssl,
headers=headers)
else:
results = requests.get(query + "&rows={0}&start={1}".format(
task_utils.CHUNK_SIZE, group[0]),
verify=verify_ssl,
headers=headers)
input_items = task_utils.get_input_items(
results.json()['response']['docs'])
if not input_items:
input_items = task_utils.get_input_items(
parameters[response_index]['response']['docs'])
result = calculate_raster_statistics(input_items, extent,
horizontal_skip_factor,
vertical_skip_factor,
ignore_pixel_values)
processed += result[0]
skipped += result[1]
status_writer.send_percent(
i / num_results,
'{0}: {1:.0f}%'.format("Processed", i / num_results * 100),
'calculate_raster_statistics')
else:
input_items = task_utils.get_input_items(
parameters[response_index]['response']['docs'])
processed, skipped = calculate_raster_statistics(
input_items, extent, horizontal_skip_factor, vertical_skip_factor,
ignore_pixel_values, True)
# Update state if necessary.
if skipped > 0:
status_writer.send_state(
status.STAT_WARNING,
_('{0} results could not be processed').format(skipped))
task_utils.report(os.path.join(request['folder'], '__report.json'),
processed,
skipped,
skipped_details=skipped_reasons)
def execute(request):
"""Converts each input dataset to kml (.kmz).
:param request: json as a dict.
"""
converted = 0
skipped = 0
errors = 0
global result_count
parameters = request["params"]
out_workspace = os.path.join(request["folder"], "temp")
if not os.path.exists(out_workspace):
os.makedirs(out_workspace)
# Get the boundary box extent for input to KML tools.
extent = ""
try:
try:
ext = task_utils.get_parameter_value(parameters, "processing_extent", "wkt")
if ext:
sr = task_utils.get_spatial_reference("4326")
extent = task_utils.from_wkt(ext, sr)
except KeyError:
ext = task_utils.get_parameter_value(parameters, "processing_extent", "feature")
if ext:
extent = arcpy.Describe(ext).extent
except KeyError:
pass
# Get the output file name.
output_file_name = task_utils.get_parameter_value(parameters, "output_file_name", "value")
if not output_file_name:
output_file_name = "kml_results"
result_count, response_index = task_utils.get_result_count(parameters)
# Query the index for results in groups of 25.
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = "{0}{1}{2}".format(sys.argv[2].split("=")[1], "/select?&wt=json", fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, "")
query += fq
elif "ids" in parameters[response_index]:
groups = task_utils.grouper(list(parameters[response_index]["ids"]), task_utils.CHUNK_SIZE, "")
else:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, "")
# Begin processing
status_writer.send_percent(0.0, _("Starting to process..."), "convert_to_kml")
headers = {"x-access-token": task_utils.get_security_token(request["owner"])}
for group in groups:
if fq:
results = requests.get(
query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers
)
elif "ids" in parameters[response_index]:
results = requests.get(query + "{0}&ids={1}".format(fl, ",".join(group)), headers=headers)
else:
results = requests.get(
query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers
)
docs = results.json()["response"]["docs"]
input_items = task_utils.get_input_items(docs)
if not input_items:
input_items = task_utils.get_input_items(parameters[response_index]["response"]["docs"])
input_rows = collections.defaultdict(list)
for doc in docs:
if "path" not in doc:
input_rows[doc["name"]].append(doc)
if input_rows:
result = convert_to_kml(input_rows, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if input_items:
result = convert_to_kml(input_items, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if not input_items and not input_rows:
status_writer.send_state(status.STAT_FAILED, _("No items to process. Check if items exist."))
return
# Zip up kmz files if more than one.
if converted > 1:
status_writer.send_status("Converted: {}".format(converted))
zip_file = task_utils.zip_data(out_workspace, "{0}.zip".format(output_file_name))
shutil.move(zip_file, os.path.join(os.path.dirname(out_workspace), os.path.basename(zip_file)))
shutil.copy2(
os.path.join(os.path.dirname(os.path.dirname(__file__)), "supportfiles", "_thumb.png"), request["folder"]
)
elif converted == 1:
try:
kml_file = glob.glob(os.path.join(out_workspace, "*.kmz"))[0]
tmp_lyr = arcpy.KMLToLayer_conversion(kml_file, out_workspace, "kml_layer")
task_utils.make_thumbnail(tmp_lyr.getOutput(0), os.path.join(request["folder"], "_thumb.png"))
except arcpy.ExecuteError:
pass
shutil.move(kml_file, os.path.join(request["folder"], os.path.basename(kml_file)))
# Update state if necessary.
if skipped > 0 or errors > 0:
status_writer.send_state(status.STAT_WARNING, _("{0} results could not be processed").format(errors + skipped))
task_utils.report(
os.path.join(request["folder"], "__report.json"), converted, skipped, errors, errors_reasons, skipped_reasons
)
def execute(request):
"""Converts each input dataset to kml (.kmz).
:param request: json as a dict.
"""
converted = 0
skipped = 0
errors = 0
global result_count
parameters = request['params']
out_workspace = os.path.join(request['folder'], 'temp')
if not os.path.exists(out_workspace):
os.makedirs(out_workspace)
# Get the boundary box extent for input to KML tools.
extent = ''
try:
try:
ext = task_utils.get_parameter_value(parameters, 'processing_extent', 'wkt')
if ext:
sr = task_utils.get_spatial_reference("4326")
extent = task_utils.from_wkt(ext, sr)
except KeyError:
ext = task_utils.get_parameter_value(parameters, 'processing_extent', 'feature')
if ext:
extent = arcpy.Describe(ext).extent
except KeyError:
pass
# Get the output file name.
output_file_name = task_utils.get_parameter_value(parameters, 'output_file_name', 'value')
if not output_file_name:
output_file_name = 'kml_results'
result_count, response_index = task_utils.get_result_count(parameters)
# Query the index for results in groups of 25.
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = '{0}{1}{2}'.format(sys.argv[2].split('=')[1], '/select?&wt=json', fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, '')
query += fq
elif 'ids' in parameters[response_index]:
groups = task_utils.grouper(list(parameters[response_index]['ids']), task_utils.CHUNK_SIZE, '')
else:
groups = task_utils.grouper(range(0, result_count), task_utils.CHUNK_SIZE, '')
# Begin processing
status_writer.send_percent(0.0, _('Starting to process...'), 'convert_to_kml')
headers = {'x-access-token': task_utils.get_security_token(request['owner'])}
for group in groups:
if fq:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
elif 'ids' in parameters[response_index]:
results = requests.get(query + '{0}&ids={1}'.format(fl, ','.join(group)), headers=headers)
else:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
docs = results.json()['response']['docs']
input_items = task_utils.get_input_items(docs)
if not input_items:
input_items = task_utils.get_input_items(parameters[response_index]['response']['docs'])
input_rows = collections.defaultdict(list)
for doc in docs:
if 'path' not in doc:
input_rows[doc['name']].append(doc)
if input_rows:
result = convert_to_kml(input_rows, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if input_items:
result = convert_to_kml(input_items, out_workspace, extent)
converted += result[0]
errors += result[1]
skipped += result[2]
if not input_items and not input_rows:
status_writer.send_state(status.STAT_FAILED, _('No items to process. Check if items exist.'))
return
# Zip up kmz files if more than one.
if converted > 1:
status_writer.send_status("Converted: {}".format(converted))
zip_file = task_utils.zip_data(out_workspace, '{0}.zip'.format(output_file_name))
shutil.move(zip_file, os.path.join(os.path.dirname(out_workspace), os.path.basename(zip_file)))
shutil.copy2(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'supportfiles', '_thumb.png'), request['folder'])
elif converted == 1:
try:
kml_file = glob.glob(os.path.join(out_workspace, '*.kmz'))[0]
tmp_lyr = arcpy.KMLToLayer_conversion(kml_file, out_workspace, 'kml_layer')
task_utils.make_thumbnail(tmp_lyr.getOutput(0), os.path.join(request['folder'], '_thumb.png'))
except arcpy.ExecuteError:
pass
shutil.move(kml_file, os.path.join(request['folder'], os.path.basename(kml_file)))
# Update state if necessary.
if skipped > 0 or errors > 0:
status_writer.send_state(status.STAT_WARNING, _('{0} results could not be processed').format(errors + skipped))
task_utils.report(os.path.join(request['folder'], '__report.json'), converted, skipped, errors, errors_reasons, skipped_reasons)
def execute(request):
"""Builds raster pyramids for input raster datasets.
:param request: json as a dict.
"""
processed = 0
skipped = 0
parameters = request['params']
# Get the extent for for which to use to calculate statistics.
extent = ''
try:
try:
ext = task_utils.get_parameter_value(parameters, 'processing_extent', 'wkt')
if ext:
sr = task_utils.get_spatial_reference("4326")
extent = task_utils.from_wkt(ext, sr)
except KeyError:
ext = task_utils.get_parameter_value(parameters, 'processing_extent', 'feature')
if ext:
extent = arcpy.Describe(ext).extent
except KeyError:
pass
horizontal_skip_factor = task_utils.get_parameter_value(parameters, 'horizontal_skip_factor', 'value')
vertical_skip_factor = task_utils.get_parameter_value(parameters, 'vertical_skip_factor', 'value')
ignore_pixel_values = task_utils.get_parameter_value(parameters, 'ignore_pixel_values', 'value')
# Create the task folder to hold report files.
task_folder = request['folder']
if not os.path.exists(task_folder):
os.makedirs(task_folder)
headers = {'x-access-token': task_utils.get_security_token(request['owner'])}
num_results, response_index = task_utils.get_result_count(parameters)
if num_results > task_utils.CHUNK_SIZE:
# Query the index for results in groups of 25.
query_index = task_utils.QueryIndex(parameters[response_index])
fl = query_index.fl
query = '{0}{1}{2}'.format(sys.argv[2].split('=')[1], '/select?&wt=json', fl)
fq = query_index.get_fq()
if fq:
groups = task_utils.grouper(range(0, num_results), task_utils.CHUNK_SIZE, '')
query += fq
elif 'ids' in parameters[response_index]:
groups = task_utils.grouper(list(parameters[response_index]['ids']), task_utils.CHUNK_SIZE, '')
else:
groups = task_utils.grouper(range(0, num_results), task_utils.CHUNK_SIZE, '')
# Begin processing
status_writer.send_percent(0.0, _('Starting to process...'), 'calculate_raster_statistics')
i = 0.
for group in groups:
i += len(group) - group.count('')
if fq:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
elif 'ids' in parameters[response_index]:
results = requests.get(query + '{0}&ids={1}'.format(fl, ','.join(group)), headers=headers)
else:
results = requests.get(query + "&rows={0}&start={1}".format(task_utils.CHUNK_SIZE, group[0]), headers=headers)
# input_items = task_utils.get_input_items(eval(results.read().replace('false', 'False').replace('true', 'True'))['response']['docs'])
input_items = task_utils.get_input_items(results.json()['response']['docs'])
if not input_items:
input_items = task_utils.get_input_items(parameters[response_index]['response']['docs'])
result = calculate_raster_statistics(input_items, extent, horizontal_skip_factor, vertical_skip_factor, ignore_pixel_values)
processed += result[0]
skipped += result[1]
status_writer.send_percent(i / num_results, '{0}: {1:.0f}%'.format("Processed", i / num_results * 100), 'calculate_raster_statistics')
else:
input_items = task_utils.get_input_items(parameters[response_index]['response']['docs'])
processed, skipped = calculate_raster_statistics(input_items, extent, horizontal_skip_factor,
vertical_skip_factor, ignore_pixel_values, True)
# Update state if necessary.
if skipped > 0:
status_writer.send_state(status.STAT_WARNING, _('{0} results could not be processed').format(skipped))
task_utils.report(os.path.join(request['folder'], '__report.json'), processed, skipped, skipped_details=skipped_reasons)
