def on_upload_update_request(request, upload_id):
files = request.FILES.getlist('files[]')
if not len(files):
raise MissingRequiredParameterException(
params={'files[]'},
payload=(['hint', 'Please upload some files.'], ))
if len(files) > 1:
from upload_service.middleware.exception.InvalidRequestException import InvalidRequestException
raise InvalidRequestException(
params={'files[]'},
payload=(['hint', 'Please upload only one file.'], ))
for file in files:
if 'image/' not in file.content_type:
from upload_service.middleware.exception.InvalidRequestException import InvalidRequestException
raise InvalidRequestException(
params={'files[]'},
payload=(['hint', 'Please upload only images.'], ))
from models import Uploads
from utility import auth, delete_file
upload = Uploads.manager.filterUpload({
'id': upload_id,
'user_id': auth(request).id
})
if not len(upload):
from upload_service.middleware.exception.UnauthorizedException import UnauthorizedException
raise UnauthorizedException(payload=(
['hint', "You don't have permission to update this file"], ))
else:
delete_file(upload[0].path)
return True
def validate_windows(input_windows, crop_path, sift_path):
# Validate a window given the SIFT result of it
# If the result is an empty SIFT file, it is invalid
valid_windows = []
for w in input_windows:
i = str(w.index)
sift_file = sift_path + i + '_sift.txt'
if is_non_zero_file(fpath=sift_file):
valid_windows.append(w)
else:
delete_file(sift_file)
delete_file(crop_path + i + '.jpg')
return valid_windows
def validate_windows(input_windows, crop_path, sift_path):
# Validate a window given the SIFT result of it
# If the result is an empty SIFT file, it is invalid
valid_windows = []
for w in input_windows:
i = str(w.index)
sift_file = sift_path + i + '_sift.txt'
if is_non_zero_file(fpath=sift_file):
valid_windows.append(w)
else:
delete_file(sift_file)
delete_file(crop_path + i + '.jpg')
return valid_windows
def batch_one_image_pre_VLAD(input_image_path, image_name, metadata_path, output_parent_path,
unit_ratio_list, overlap_ratio):
print "------Begin batch for image", image_name
output_path = "%s%s/" % (output_parent_path, image_name)
delete_file(file_path=output_path, isDir=True)
temp_crop_path = '%stemp_crop/' % output_path
image_path = '%s%s.jpg' % (input_image_path, image_name)
print "\t======Generating windows"
windows = exhaustive_search(image_path, metadata_path, unit_ratio_list, overlap_ratio)
crop_window(image_path, temp_crop_path, windows=windows)
temp_sift_path = '%stemp_sift/' % output_path
print "\t======Sifting windows"
sift_image_batch(input_path=temp_crop_path, output_path=temp_sift_path)
windows = validate_windows(input_windows=windows, crop_path=temp_crop_path, sift_path=temp_sift_path)
save_window_txt(windows, output_path, image_name)
return temp_sift_path
def delete(self, request, upload_id):
from models import Uploads
from utility import delete_file, auth
upload = Uploads.manager.filterUpload({
'id': upload_id,
'user_id': auth(request).id
})
if len(upload):
delete_file(upload[0].path)
return upload[0].delete()
else:
from upload_service.middleware.exception.NotFoundException import NotFoundException
raise NotFoundException(
params={'upload-id'},
payload=(['hint', 'Please provide a valid upload id'], ))
def reset_storage_location(self, testcase=None):
""" Empty all downloaded clip files from the storage location.
INPUT:
testcase: a testcase object supplied when executing function as part of a testcase step.
OUTPUT:
successful: whether the function executed successfully or not.
"""
self.log.debug("Resetting the storage location at %s ..." % self.storage_loc)
result = {'successful': False}
try:
# make list of all files in storage location
files = listdir(self.storage_loc)
# remove files in storage location
for file in files:
file_path = self.storage_loc + file
# delete any free-floating files, or clear out directories if not a file
deleted = delete_file(self.log, file_path, silent_warnings=True)['verified']
self.log.trace("Storage location reset.")
result['successful'] = True
except BaseException, e:
self.handle_exception(e, operation="reset the storage location at %s" % self.storage_loc)
def del_file(self, orig_file, target_file):
ret_o = 0
ret_t = 0
# orig_file, target_file = get_filename(
# YM, SAVEDIR, browser, element, vars, data_dic)
if (os.access(orig_file, os.R_OK)):
ret_o = delete_file(orig_file)
if (os.access(target_file, os.R_OK)):
ret_t = delete_file(target_file)
# retval[__RETCODE__]= ret_o+ret_t
# if(retval[__RETCODE__]!=0):
# retval[__RETMSG__]="del_file error " + orig_file + " " + target_file
# retval[__STEP__]=0
return ret_o + ret_t
def util_funcs_test():
test_folder_path = "test/test_folder"
t_name_main_pre = "Utility Functions Test"
# Test 'does_file_exist' function
name = t_name_main_pre + ": Does path exist? [No]"
expected = False
actual = util.does_file_exist(test_folder_path)
test_util.compare_results(expected, actual, name)
name = t_name_main_pre + ": Does path exist? [Yes]"
expected = True
actual = util.does_file_exist("test")
test_util.compare_results(expected, actual, name)
# Test 'create_folder_if_dne' function
name = t_name_main_pre + ": Create folder that DNE"
test_folder_path = util.create_folder_if_dne(test_folder_path)
actual = util.does_file_exist(test_folder_path)
expected = True
test_util.compare_results(expected, actual, name)
# Test 'delete_empty_folder' function
name = t_name_main_pre + ": Delete empty folder"
util.delete_empty_folder(test_folder_path)
actual = util.does_file_exist(test_folder_path)
expected = False
test_util.compare_results(expected, actual, name)
# Test 'create_file_if_dne' function
name = t_name_main_pre + ": Create file"
test_fp = "test/test_file.txt"
util.create_file_if_dne(
test_fp,
["This is a test \nWow! A new line and no need for writelines()!"])
expected = True
actual = util.does_file_exist(test_fp)
test_util.compare_results(expected, actual, name)
# Test 'delete_file' function
name = t_name_main_pre + ": Delete file"
util.delete_file(test_fp)
expected = False
actual = util.does_file_exist(test_fp)
test_util.compare_results(expected, actual, name)
def sift_image(input_path, image_name, output_path, params):
# Process an image and save the results in a file,
# by using the sift exe file with command lines,
image_path = input_path + image_name
params = "--edge-thresh 10 --peak-thresh 5" if params is None else params
file_extension = image_name[image_name.rfind('.') + 1:]
image_name = image_name[:image_name.rfind('.')]
if file_extension != 'pgm':
# create a pgm file
im = Image.open(image_path).convert('L')
image_path = '%s%s.pgm' % (input_path, image_name)
im.save(image_path)
result_path = "%s%s_sift.txt" % (output_path, image_name)
if not exists(output_path):
makedirs(output_path)
cmmd = "./sift %s -o %s %s" % (image_path, result_path, params)
system(cmmd)
delete_file(image_path)
return result_path
def sift_image(input_path, image_name, output_path, params):
# Process an image and save the results in a file,
# by using the sift exe file with command lines,
image_path = input_path + image_name
params = "--edge-thresh 10 --peak-thresh 5" if params is None else params
file_extension = image_name[image_name.rfind('.') + 1:]
image_name = image_name[:image_name.rfind('.')]
if file_extension != 'pgm':
# create a pgm file
im = Image.open(image_path).convert('L')
image_path = '%s%s.pgm' % (input_path, image_name)
im.save(image_path)
result_path = "%s%s_sift.txt" % (output_path, image_name)
if not exists(output_path):
makedirs(output_path)
cmmd = "./sift %s -o %s %s" % (image_path, result_path, params)
system(cmmd)
delete_file(image_path)
return result_path
def batch_one_image_pre_VLAD(input_image_path, image_name, metadata_path,
output_parent_path, unit_ratio_list,
overlap_ratio):
print "------Begin batch for image", image_name
output_path = "%s%s/" % (output_parent_path, image_name)
delete_file(file_path=output_path, isDir=True)
temp_crop_path = '%stemp_crop/' % output_path
image_path = '%s%s.jpg' % (input_image_path, image_name)
print "\t======Generating windows"
windows = exhaustive_search(image_path, metadata_path, unit_ratio_list,
overlap_ratio)
crop_window(image_path, temp_crop_path, windows=windows)
temp_sift_path = '%stemp_sift/' % output_path
print "\t======Sifting windows"
sift_image_batch(input_path=temp_crop_path, output_path=temp_sift_path)
windows = validate_windows(input_windows=windows,
crop_path=temp_crop_path,
sift_path=temp_sift_path)
save_window_txt(windows, output_path, image_name)
return temp_sift_path
def batch_all_images(input_image_path, annotation_path, output_parent_path,
unit_ratio_list, overlap_ratio, target, target_pos_path, vladVector, target_count=20, pca=True,
k=30, max_iter=30, preVLAD=False, voca_path=None, dataset_mode=False, overlap_threshold=0.5):
global_sift_path = '%sglobal_sift.txt' % (output_parent_path)
image_name_list = get_target_pos_names(input_path=target_pos_path, target=target, target_count=target_count)
sift_path_L = []
if preVLAD:
delete_file(file_path=global_sift_path)
for image_name in image_name_list:
metadata_path = '%s%s.xml' % (annotation_path, image_name)
win_sift_path = batch_one_image_pre_VLAD(input_image_path, image_name, metadata_path, output_parent_path,
unit_ratio_list, overlap_ratio)
sift_path_L.append(win_sift_path)
append_file(dest_file=global_sift_path, input_path=win_sift_path)
print "----------pre-VLAD Done"
else:
all_dir = list_all_files(input_path=output_parent_path + 'windows/', onlyDir=True)
for d in all_dir:
sift_path_L.append("%s/windows/%s/temp_sift/" % (output_parent_path, d))
print "----------pre-VLAD is enabled"
if voca_path is None or not isfile(voca_path):
print "~~~~~~~Learning vocabulary by the sift vectors of all windows of all images"
vector_matrix = None
if pca:
vector_matrix = pca_dataset(input_path=global_sift_path)
vocabulary = learn_vocabulary(input_path=global_sift_path,
k=k, max_iter=max_iter, single_file=True, vector_matrix=vector_matrix)
save_matrix(v=vocabulary, output_path=voca_path)
print "~~~~~~~Learning vocabulary done"
elif vladVector:
print "~~~~~~~Loading existing vocabulary"
vocabulary = load_matrix(input_path=voca_path)
if vladVector:
for i in xrange(len(image_name_list)):
image_name = image_name_list[i]
output_path = "%swindows/%s/%s" % (output_parent_path, image_name, image_name)
print "\t======Creating VLAD vectors"
vlad_vector_batch(input_path=sift_path_L[i],
output_path=output_path, vocabulary=vocabulary)
print "\t======VLAD Done for", image_name
else:
print "##########No VLAD vector generated...."
if dataset_mode:
print "^^^^^^^^^^Generate data set for global windows and VLAD"
global_X_path = output_parent_path + "global_X.txt"
global_Y_path = output_parent_path + "global_Y.txt"
delete_file(global_X_path)
delete_file(global_Y_path)
for img_name in image_name_list:
img_window_path = "%s/windows/%s/%s_windows.txt" % (output_parent_path, img_name , img_name)
img_vlad_path = "%s/windows/%s/%s_vlad.txt" % (output_parent_path, img_name , img_name)
metadata_path = '%s%s.xml' % (annotation_path, img_name)
batch_one_image_dataset(global_X_path, global_Y_path, img_window_path,
img_vlad_path, metadata_path, target, overlap_threshold=overlap_threshold)
print "\tData set done for", img_name
print "....................All done"
def config_status_test():
t_name_prefix = "Configuration JSON file Status Check Test"
# Enable test mode
config.TEST_ACTIVE = True
# Test status checker with no file in test config path
name = t_name_prefix + ": File not found"
actual = config.config_status()
expected = "DNE"
test_util.compare_results(expected, actual, name)
# Test status checker with template file in test config path
name = t_name_prefix + ": Create New Template File"
# Make the config file
config.create_config_file()
actual = config.config_status()
expected = "template"
test_util.compare_results(expected, actual, name)
# Make test folders which will be used in setting up our config file
test_dl_folder = util.create_folder_if_dne("test/test_downloads")
test_edit_folder = util.create_folder_if_dne("test/test_edit")
test_final_folder = util.create_folder_if_dne("test/test_final")
# Test 'set_downloads_folder' function
name = t_name_prefix + ": Setting downloads folder"
config.set_downloads_folder(test_dl_folder)
expected = test_dl_folder
actual = config.get_downloads_folder()
test_util.compare_results(expected, actual, name)
name = t_name_prefix + ": Setting downloads folder [2]"
config.set_downloads_folder("This Should Not Overwrite")
expected = test_dl_folder
actual = config.get_downloads_folder()
test_util.compare_results(expected, actual, name)
# Test 'update_downloads_folder' function
name = t_name_prefix + ": Update downloads folder"
config.update_downloads_folder("This Should Overwrite")
expected = "This Should Overwrite"
actual = config.get_downloads_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with one item filled out (and correctly)
name = t_name_prefix + ": 1/3 with one bogus entry at pos 1"
expected = "path_dne"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Test 'update_downloads_folder' function (again)
name = t_name_prefix + ": Update downloads folder [2]"
config.update_downloads_folder(test_dl_folder)
expected = test_dl_folder
actual = config.get_downloads_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with one item filled out (and correctly)
name = t_name_prefix + ": 1/3 Complete"
expected = "incomplete"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Test 'set_editing_folder' function
name = t_name_prefix + ": Setting editing folder"
config.set_editing_folder(test_edit_folder)
expected = test_edit_folder
actual = config.get_editing_folder()
test_util.compare_results(expected, actual, name)
name = t_name_prefix + ": Setting editing folder [2]"
config.set_editing_folder("This Should Not Overwrite")
expected = test_edit_folder
actual = config.get_editing_folder()
test_util.compare_results(expected, actual, name)
# Test 'update_editing_folder' function
name = t_name_prefix + ": Update editing folder"
config.update_editing_folder("This Should Overwrite")
expected = "This Should Overwrite"
actual = config.get_editing_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with one item filled out (and correctly)
name = t_name_prefix + ": 2/3 with one bogus entry at pos 2"
expected = "path_dne"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Test 'update_editing_folder' function (again)
name = t_name_prefix + ": Update editing folder [2]"
config.update_editing_folder(test_edit_folder)
expected = test_edit_folder
actual = config.get_editing_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with 2 items filled out
name = t_name_prefix + ": 2/3 Complete"
expected = "incomplete"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Test 'set_destination_folder' function
name = t_name_prefix + ": Setting destination folder"
config.set_destination_folder(test_final_folder)
expected = test_final_folder
actual = config.get_destination_folder()
test_util.compare_results(expected, actual, name)
name = t_name_prefix + ": Setting destination folder [2]"
config.set_destination_folder("This Should Not Overwrite")
expected = test_final_folder
actual = config.get_destination_folder()
test_util.compare_results(expected, actual, name)
# Test 'update_editing_folder' function
name = t_name_prefix + ": Update destination folder"
config.update_destination_folder("This Should Overwrite")
expected = "This Should Overwrite"
actual = config.get_destination_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with one item filled out (and correctly)
name = t_name_prefix + ": 3/3 with one bogus entry at pos 3"
expected = "path_dne"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Test 'update_editing_folder' function (again)
name = t_name_prefix + ": Update destination folder [2]"
config.update_destination_folder(test_final_folder)
expected = test_final_folder
actual = config.get_destination_folder()
test_util.compare_results(expected, actual, name)
# Test 'config_status' with everything filled out and existent
name = t_name_prefix + ": Completed Config File"
expected = "complete"
actual = config.config_status()
test_util.compare_results(expected, actual, name)
# Return config module to its default state
config.TEST_ACTIVE = False
config.CONFIG_JSON = {}
util.delete_file(config.TEST_CONFIG_FILE_PATH)
# Delete temp files
util.delete_empty_folder(test_dl_folder)
util.delete_empty_folder(test_edit_folder)
util.delete_empty_folder(test_final_folder)
def reset_vim_server(self, testcase=None, max_attempts=5, using_custom_database=False):
""" Reset the ViM server to freshly installed state.
INPUT
testcase: a testcase object supplied when executing function as part of a testcase step.
max attempts: the maximum number of attempts to perform the operation.
using custom database: whether using a custom database or not (should not be deleted).
OUPUT
successful: whether the function executed successfully or not.
"""
self.log.debug("Resetting the ViM server to a fresh install state ...")
result = {'successful': False}
attempt = 1
while not result['successful'] and attempt <= max_attempts:
try:
# stop the server
self.stop_vim_server(testcase=testcase)
# disconnect from database
self.db.disconnect_from_database()
self.db.db_handle = None
# define booleans for all operations needed to be done
database_deleted = False
db_shm_deleted = False
db_wal_deleted = False
license_deleted = False
if not using_custom_database:
# delete database files
database_deleted = delete_file(self.log, self.database_path)['verified']
db_shm_deleted = delete_file(self.log, self.database_path
+ "-shm")['verified']
db_wal_deleted = delete_file(self.log, self.database_path
+ "-wal")['verified']
# delete license
license_deleted = delete_file(self.log, self.license_path)['verified']
# reset files and folders
storage_reset = self.reset_storage_location()['successful']
properties_deleted = delete_file(self.log, self.properties_path)['verified']
if (not using_custom_database and database_deleted and db_shm_deleted
and db_wal_deleted and license_deleted and
properties_deleted) or (using_custom_database and storage_reset
and properties_deleted):
self.log.trace("Reset the ViM server.")
result['successful'] = True
# restart the server
self.start_vim_server(testcase=testcase)
self.db.connect_to_database()
self.db.db_handle = self.db.establish_handle_to_database()['handle']
# set up initial config
sleep(3)
self.log_in_to_vim(testcase=testcase, max_attempts=5)
self.configure_vim_system_settings(testcase=testcase)
elif attempt <= max_attempts:
self.log.trace("Failed to reset the ViM server (attempt %s). "
"Re-attempting in 5 seconds ..." % attempt)
# stop the server
self.stop_vim_server(testcase=testcase)
elif attempt >= max_attempts:
self.log.error("Failed to reset the ViM server.")
break
except BaseException, e:
self.handle_exception(e, operation="reset the ViM server")
result['successful'] = False
# increment
attempt += 1
sleep(5)
for da in output_dell_asset_L:
if da is not None and da.svctag != "" and da.is_translation_updated:
temp_path = existing_dell_asset_dir + da.svctag + history_DA_file_format
save_object_to_path(value=da, output_path=temp_path)
if save_dell_asset_excel(output_dell_asset_L,
dell_asset_output_path):
logger.info("保存结果到Excel文件 %s" % dell_asset_output_path)
else:
logger.error("保存Excel文件出错")
else:
logger.warn("-------Output for this job is empty")
except Exception, e:
logger.error(str(e))
logger.error(traceback.format_exc())
logger.info("\nFINISH\n")
additional_text += "\n总用时 %s\n总共 %s个结果" % (diff_two_datetime(
start_time, get_current_datetime()), len(output_dell_asset_L))
logger.info(additional_text)
subject = subject_temp % ("[查询任务结束] ", get_current_datetime(is_date=True),
svctag)
if logger.has_error:
additional_text += "\n查询程序出现错误，请等待解决。"
save_object_to_path(value=logger, output_path=log_output_path)
send_email(subject=subject,
text=additional_text,
config=config,
cc_mode=logger.has_error or need_translation,
attachment_path_L=[log_output_path, dell_asset_output_path])
delete_file(dell_asset_output_path)
delete_file(log_output_path)
model.add(Dense(10))
model.add(Activation(relu))
model.add(Dense(1))
model.summary()
model.compile(optimizer=Adam(learning_rate), loss="mse", )
# create two generators for training and validation
train_gen = generate_next_batch()
validation_gen = generate_next_batch()
history = model.fit_generator(train_gen,
samples_per_epoch=samples_per_epoch,
nb_epoch=epochs,
validation_data=validation_gen,
nb_val_samples=number_of_validation_samples,
verbose=1)
# finally save our model and weights
delete_file(model_name)
delete_file(weights_name)
json_string = model.to_json()
with open(model_name, 'w') as outfile:
json.dump(json_string, outfile)
model.save_weights(weights_name)
def batch_all_images(input_image_path,
annotation_path,
output_parent_path,
unit_ratio_list,
overlap_ratio,
target,
target_pos_path,
vladVector,
target_count=20,
pca=True,
k=30,
max_iter=30,
preVLAD=False,
voca_path=None,
dataset_mode=False,
overlap_threshold=0.5):
global_sift_path = '%sglobal_sift.txt' % (output_parent_path)
image_name_list = get_target_pos_names(input_path=target_pos_path,
target=target,
target_count=target_count)
sift_path_L = []
if preVLAD:
delete_file(file_path=global_sift_path)
for image_name in image_name_list:
metadata_path = '%s%s.xml' % (annotation_path, image_name)
win_sift_path = batch_one_image_pre_VLAD(input_image_path,
image_name, metadata_path,
output_parent_path,
unit_ratio_list,
overlap_ratio)
sift_path_L.append(win_sift_path)
append_file(dest_file=global_sift_path, input_path=win_sift_path)
print "----------pre-VLAD Done"
else:
all_dir = list_all_files(input_path=output_parent_path + 'windows/',
onlyDir=True)
for d in all_dir:
sift_path_L.append("%s/windows/%s/temp_sift/" %
(output_parent_path, d))
print "----------pre-VLAD is enabled"
if voca_path is None or not isfile(voca_path):
print "~~~~~~~Learning vocabulary by the sift vectors of all windows of all images"
vector_matrix = None
if pca:
vector_matrix = pca_dataset(input_path=global_sift_path)
vocabulary = learn_vocabulary(input_path=global_sift_path,
k=k,
max_iter=max_iter,
single_file=True,
vector_matrix=vector_matrix)
save_matrix(v=vocabulary, output_path=voca_path)
print "~~~~~~~Learning vocabulary done"
elif vladVector:
print "~~~~~~~Loading existing vocabulary"
vocabulary = load_matrix(input_path=voca_path)
if vladVector:
for i in xrange(len(image_name_list)):
image_name = image_name_list[i]
output_path = "%swindows/%s/%s" % (output_parent_path, image_name,
image_name)
print "\t======Creating VLAD vectors"
vlad_vector_batch(input_path=sift_path_L[i],
output_path=output_path,
vocabulary=vocabulary)
print "\t======VLAD Done for", image_name
else:
print "##########No VLAD vector generated...."
if dataset_mode:
print "^^^^^^^^^^Generate data set for global windows and VLAD"
global_X_path = output_parent_path + "global_X.txt"
global_Y_path = output_parent_path + "global_Y.txt"
delete_file(global_X_path)
delete_file(global_Y_path)
for img_name in image_name_list:
img_window_path = "%s/windows/%s/%s_windows.txt" % (
output_parent_path, img_name, img_name)
img_vlad_path = "%s/windows/%s/%s_vlad.txt" % (output_parent_path,
img_name, img_name)
metadata_path = '%s%s.xml' % (annotation_path, img_name)
batch_one_image_dataset(global_X_path,
global_Y_path,
img_window_path,
img_vlad_path,
metadata_path,
target,
overlap_threshold=overlap_threshold)
print "\tData set done for", img_name
print "....................All done"
additional_text += "查询结果存在保修需要翻译"
else:
logger.info("No additional translation needed")
if len(output_dell_asset_L) > 0:
logger.info("~~~~~~~%s output results in total" % len(output_dell_asset_L))
# Save output into the csv_path and also existing dell asset
logger.info("~~~~~~~Save output as existing dell assets")
for da in output_dell_asset_L:
if da is not None and da.svctag != "" and da.is_translation_updated:
temp_path = existing_dell_asset_dir + da.svctag + history_DA_file_format
save_object_to_path(value=da, output_path=temp_path)
if save_dell_asset_excel(output_dell_asset_L, dell_asset_output_path):
logger.info("保存结果到Excel文件 %s" % dell_asset_output_path)
else:
logger.error("保存Excel文件出错")
else:
logger.warn("-------Output for this job is empty")
except Exception, e:
logger.error(str(e))
logger.error(traceback.format_exc())
logger.info("\nFINISH\n")
additional_text += "\n总用时 %s\n总共 %s个结果" % (diff_two_datetime(start_time, get_current_datetime()), len(output_dell_asset_L))
logger.info(additional_text)
subject = subject_temp % ("[查询任务结束] ", get_current_datetime(is_date=True), svctag)
if logger.has_error:
additional_text += "\n查询程序出现错误，请等待解决。"
save_object_to_path(value=logger, output_path=log_output_path)
send_email(subject=subject, text=additional_text, config=config, cc_mode=logger.has_error or need_translation, attachment_path_L=[log_output_path, dell_asset_output_path])
delete_file(dell_asset_output_path)
delete_file(log_output_path)