def upload(import_path,
manual_done=False,
verbose=False,
skip_subfolders=False,
video_file=None,
number_threads=None,
max_attempts=None):
'''
Upload local images to Mapillary
Args:
import_path: Directory path to where the images are stored.
verbose: Print extra warnings and errors.
skip_subfolders: Skip images stored in subdirectories.
manual_done: Prompt user to confirm upload finalization.
Returns:
Images are uploaded to Mapillary and flagged locally as uploaded.
'''
# sanity check if video file is passed
if video_file and not (os.path.isdir(video_file)
or os.path.isfile(video_file)):
print("Error, video path " + video_file +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_file:
# set sampling path
video_sampling_path = processing.sampled_video_frames_rootpath(
video_file)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.dirname(video_file), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
# get list of file to process
total_file_list = uploader.get_total_file_list(import_path,
skip_subfolders)
upload_file_list = uploader.get_upload_file_list(import_path,
skip_subfolders)
failed_file_list = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
success_file_list = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
if len(success_file_list) == len(total_file_list):
print("All images have already been uploaded")
sys.exit()
if len(failed_file_list):
upload_failed = raw_input(
"Retry uploading previously failed image uploads? [y/n]: ")
# if yes, add images to the upload list
if upload_failed in ["y", "Y", "yes", "Yes"]:
upload_file_list.extend(failed_file_list)
# verify the images in the upload list, they need to have the image
# description and certain MAP properties
upload_file_list = [f for f in upload_file_list if verify_mapillary_tag(f)]
if not len(upload_file_list):
print("No images to upload.")
print(
'Please check if all images contain the required Mapillary metadata. If not, you can use "mapillary_tools process" to add them'
)
sys.exit(1)
# get upload params
params = {}
for image in total_file_list:
log_root = uploader.log_rootpath(image)
upload_params_path = os.path.join(log_root,
"upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# inform how many images are to be uploaded and how many are being skipped
# from upload
print("Uploading {} images with valid mapillary tags (Skipping {})".format(
len(upload_file_list),
len(total_file_list) - len(upload_file_list)))
# call the actual upload, passing the list of images, the root of the
# import and the upload params
uploader.upload_file_list(upload_file_list, params, number_threads,
max_attempts)
# finalize manual uploads if necessary
finalize_file_list = uploader.get_finalize_file_list(
import_path, skip_subfolders)
# if manual uploads a DONE file needs to be uploaded to let the harvester
# know the sequence is done uploading
if len(finalize_file_list):
finalize_all = 1
if manual_done:
finalize_all = uploader.prompt_to_finalize("uploads")
if finalize_all:
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
finalize_file_list, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(finalize_file_list)
else:
print("Uploads will not be finalized.")
print(
"If you wish to finalize your uploads, run the upload tool again."
)
sys.exit()
uploader.print_summary(upload_file_list)
def upload(import_path, manual_done=False, verbose=False, skip_subfolders=False):
'''
Upload local images to Mapillary
Args:
import_path: Directory path to where the images are stored.
verbose: Print extra warnings and errors.
skip_subfolders: Skip images stored in subdirectories.
manual_done: Prompt user to confirm upload finalization.
Returns:
Images are uploaded to Mapillary and flagged locally as uploaded.
'''
# basic check for all
import_path = os.path.abspath(import_path)
if not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" doesnt not exist, exiting...")
sys.exit()
# get list of file to process
total_file_list = uploader.get_total_file_list(
import_path, skip_subfolders)
upload_file_list = uploader.get_upload_file_list(
import_path, skip_subfolders)
failed_file_list = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
success_file_list = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
if len(success_file_list) == len(total_file_list):
print("All images have already been uploaded")
sys.exit()
if len(failed_file_list):
upload_failed = raw_input(
"Retry uploading previously failed image uploads? [y/n]: ")
# if yes, add images to the upload list
if upload_failed in ["y", "Y", "yes", "Yes"]:
upload_file_list.extend(failed_file_list)
# verify the images in the upload list, they need to have the image
# description and certain MAP properties
upload_file_list = [f for f in upload_file_list if verify_mapillary_tag(f)]
if not len(upload_file_list):
print("No images to upload.")
print('Please check if all images contain the required Mapillary metadata. If not, you can use "mapillary_tools process" to add them')
sys.exit()
# get upload params
params = {}
for image in total_file_list:
log_root = uploader.log_rootpath(import_path, image)
upload_params_path = os.path.join(
log_root, "upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# inform how many images are to be uploaded and how many are being skipped
# from upload
print("Uploading {} images with valid mapillary tags (Skipping {})".format(
len(upload_file_list), len(total_file_list) - len(upload_file_list)))
# call the actual upload, passing the list of images, the root of the
# import and the upload params
uploader.upload_file_list(upload_file_list, import_path, params)
# finalize manual uploads if necessary
finalize_file_list = uploader.get_finalize_file_list(
import_path, skip_subfolders)
# if manual uploads a DONE file needs to be uploaded to let the harvester
# know the sequence is done uploading
if len(finalize_file_list):
finalize_all = 1
if manual_done:
finalize_all = uploader.prompt_to_finalize("uploads")
if finalize_all:
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
finalize_file_list, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(import_path, finalize_file_list)
else:
print("Uploads will not be finalized.")
print("If you wish to finalize your uploads, run the upload tool again.")
sys.exit()
uploader.print_summary(upload_file_list)
def post_process(import_path,
split_import_path=None,
video_import_path=None,
summarize=False,
move_all_images=False,
move_duplicates=False,
move_uploaded=False,
move_sequences=False,
save_as_json=False,
list_file_status=False,
push_images=False,
skip_subfolders=False,
verbose=False,
save_local_mapping=False):
# return if nothing specified
if not any([summarize, move_all_images, list_file_status, push_images, move_duplicates, move_uploaded, save_local_mapping, move_sequences]):
print("No post processing action specified.")
return
# sanity check if video file is passed
if video_import_path and not os.path.isdir(video_import_path) and not os.path.isfile(video_import_path):
print("Error, video path " + video_import_path +
" does not exist, exiting...")
sys.exit(1)
if move_all_images:
move_sequences = True
move_duplicates = True
move_uploaded = True
# in case of video processing, adjust the import path
if video_import_path:
# set sampling path
video_sampling_path = "mapillary_sampled_video_frames"
video_dirname = video_import_path if os.path.isdir(
video_import_path) else os.path.dirname(video_import_path)
import_path = os.path.join(os.path.abspath(import_path), video_sampling_path) if import_path else os.path.join(
os.path.abspath(video_dirname), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
if save_local_mapping:
local_mapping = save_local_mapping(import_path)
with open(local_mapping_filepath, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter=",")
for row in local_mapping:
csvwriter.writerow(row)
if push_images:
to_be_pushed_files = uploader.get_success_only_manual_upload_file_list(
import_path, skip_subfolders)
params = {}
for image in tqdm(to_be_pushed_files, desc="Pushing images"):
log_root = uploader.log_rootpath(image)
upload_params_path = os.path.join(
log_root, "upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
to_be_pushed_files, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(to_be_pushed_files)
if any([summarize, list_file_status, move_uploaded]):
# upload logs
uploaded_files = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
uploaded_files_count = len(uploaded_files)
failed_upload_files = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
failed_upload_files_count = len(failed_upload_files)
to_be_finalized_files = uploader.get_finalize_file_list(import_path)
to_be_finalized_files_count = len(to_be_finalized_files)
to_be_uploaded_files = uploader.get_upload_file_list(
import_path, skip_subfolders)
to_be_uploaded_files_count = len(to_be_uploaded_files)
if any([summarize, move_sequences]):
total_files = uploader.get_total_file_list(import_path)
total_files_count = len(total_files)
if any([summarize, move_duplicates, list_file_status]):
duplicates_file_list = processing.get_duplicate_file_list(
import_path, skip_subfolders)
duplicates_file_list_count = len(duplicates_file_list)
if summarize:
summary_dict = {}
summary_dict["total images"] = total_files_count
summary_dict["upload summary"] = {
"successfully uploaded": uploaded_files_count,
"failed uploads": failed_upload_files_count,
"uploaded to be finalized": to_be_finalized_files_count
}
# process logs
summary_dict["process summary"] = {}
process_steps = ["user_process", "import_meta_process", "geotag_process",
"sequence_process", "upload_params_process", "mapillary_image_description"]
process_status = ["success", "failed"]
for step in process_steps:
process_success = len(processing.get_process_status_file_list(
import_path, step, "success", skip_subfolders))
process_failed = len(processing.get_process_status_file_list(
import_path, step, "failed", skip_subfolders))
summary_dict["process summary"][step] = {
"failed": process_failed,
"success": process_success
}
summary_dict["process summary"]["duplicates"] = duplicates_file_list_count
summary_dict["process summary"]["processed_not_yet_uploaded"] = to_be_uploaded_files_count
print("Import summary for import path {} :".format(import_path))
print(json.dumps(summary_dict, indent=4))
ipc.send('summary', summary_dict)
if save_as_json:
try:
processing.save_json(summary_dict, os.path.join(
import_path, "mapillary_import_summary.json"))
except Exception as e:
print("Could not save summary into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_summary.json"), e))
if list_file_status:
status_list_dict = {}
status_list_dict["successfully uploaded"] = uploaded_files
status_list_dict["failed uploads"] = failed_upload_files
status_list_dict["uploaded to be finalized"] = to_be_finalized_files
status_list_dict["duplicates"] = duplicates_file_list
status_list_dict["processed_not_yet_uploaded"] = to_be_uploaded_files
print("")
print("List of file status for import path {} :".format(import_path))
print(json.dumps(status_list_dict, indent=4))
if save_as_json:
try:
processing.save_json(status_list_dict, os.path.join(
import_path, "mapillary_import_image_status_list.json"))
except Exception as e:
print("Could not save image status list into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_image_status_list.json"), e))
split_import_path = split_import_path if split_import_path else import_path
if any([move_sequences, move_duplicates, move_uploaded]):
if not os.path.isdir(split_import_path):
print("Split import path {} does not exist.".format(
split_import_path))
sys.exit(1)
destination_mapping = {}
if move_duplicates:
for image in duplicates_file_list:
destination_mapping[image] = {"basic": ["duplicates"]}
if move_uploaded:
for image in uploaded_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("uploaded")
else:
destination_mapping[image] = {"basic": ["uploaded"]}
for image in failed_upload_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("failed_upload")
else:
destination_mapping[image] = {"basic": ["failed_upload"]}
for image in to_be_finalized_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append(
"uploaded_not_finalized")
else:
destination_mapping[image] = {
"basic": ["uploaded_not_finalized"]}
for image in to_be_uploaded_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("to_be_uploaded")
else:
destination_mapping[image] = {"basic": ["to_be_uploaded"]}
if move_sequences:
destination_mapping = map_images_to_sequences(
destination_mapping, total_files)
for image in destination_mapping:
basic_destination = destination_mapping[image]["basic"] if "basic" in destination_mapping[image] else [
]
sequence_destination = destination_mapping[image][
"sequence"] if "sequence" in destination_mapping[image] else ""
image_destination_path = os.path.join(*([split_import_path] + basic_destination + [
os.path.dirname(image[len(os.path.abspath(import_path)) + 1:])] + [sequence_destination, os.path.basename(image)]))
if not os.path.isdir(os.path.dirname(image_destination_path)):
os.makedirs(os.path.dirname(image_destination_path))
os.rename(image, image_destination_path)
image_logs_dir = uploader.log_rootpath(image)
destination_logs_dir = uploader.log_rootpath(image_destination_path)
if not os.path.isdir(image_logs_dir):
continue
if not os.path.isdir(os.path.dirname(destination_logs_dir)):
os.makedirs(os.path.dirname(destination_logs_dir))
os.rename(image_logs_dir, destination_logs_dir)
def post_process(import_path,
split_import_path=None,
video_import_path=None,
summarize=False,
move_images=False,
move_duplicates=False,
move_uploaded=False,
save_as_json=False,
list_file_status=False,
push_images=False,
skip_subfolders=False,
verbose=False,
save_local_mapping=False):
# return if nothing specified
if not summarize and not move_images and not list_file_status and not push_images and not move_duplicates and not move_uploaded and not save_local_mapping:
print("No post processing action specified.")
return
# sanity check if video file is passed
if video_import_path and not os.path.isdir(video_import_path):
print("Error, video path " + video_import_path +
" does not exist, exiting...")
sys.exit(1)
# in case of video processing, adjust the import path
if video_import_path:
# set sampling path
video_sampling_path = "mapillary_sampled_video_frames"
import_path = os.path.join(os.path.abspath(import_path), video_sampling_path) if import_path else os.path.join(
os.path.abspath(video_import_path), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
if save_local_mapping:
local_mapping = save_local_mapping(import_path)
with open(local_mapping_filepath, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter=",")
for row in local_mapping:
csvwriter.writerow(row)
else:
print("Reading import logs for import path {}...".format(import_path))
# collect logs
summary_dict = {}
status_list_dict = {}
total_files = uploader.get_total_file_list(import_path)
total_files_count = len(total_files)
# upload logs
uploaded_files = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
uploaded_files_count = len(uploaded_files)
failed_upload_files = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
failed_upload_files_count = len(failed_upload_files)
to_be_finalized_files = uploader.get_finalize_file_list(import_path)
to_be_finalized_files_count = len(to_be_finalized_files)
summary_dict["total images"] = total_files_count
summary_dict["upload summary"] = {
"successfully uploaded": uploaded_files_count,
"failed uploads": failed_upload_files_count,
"uploaded to be finalized": to_be_finalized_files_count
}
status_list_dict["successfully uploaded"] = uploaded_files
status_list_dict["failed uploads"] = failed_upload_files
status_list_dict["uploaded to be finalized"] = to_be_finalized_files
# process logs
summary_dict["process summary"] = {}
process_steps = ["user_process", "import_meta_process", "geotag_process",
"sequence_process", "upload_params_process", "mapillary_image_description"]
process_status = ["success", "failed"]
for step in process_steps:
process_success = len(processing.get_process_status_file_list(
import_path, step, "success", skip_subfolders))
process_failed = len(processing.get_process_status_file_list(
import_path, step, "failed", skip_subfolders))
summary_dict["process summary"][step] = {
"failed": process_failed,
"success": process_success
}
duplicates_file_list = processing.get_duplicate_file_list(
import_path, skip_subfolders)
duplicates_file_list_count = len(duplicates_file_list)
summary_dict["process summary"]["duplicates"] = duplicates_file_list_count
status_list_dict["duplicates"] = duplicates_file_list
# processed for upload
to_be_uploaded_files = uploader.get_upload_file_list(
import_path, skip_subfolders)
to_be_uploaded_files_count = len(to_be_uploaded_files)
summary_dict["process summary"]["processed_not_yet_uploaded"] = to_be_uploaded_files_count
status_list_dict["processed_not_yet_uploaded"] = to_be_uploaded_files
# summary
if summarize:
print("")
print("Import summary for import path {} :".format(import_path))
print(json.dumps(summary_dict, indent=4))
ipc.send('summary', summary_dict)
if save_as_json:
try:
processing.save_json(summary_dict, os.path.join(
import_path, "mapillary_import_summary.json"))
except Exception as e:
print("Could not save summary into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_summary.json"), e))
# list file status
if list_file_status:
print("")
print("List of file status for import path {} :".format(import_path))
print(json.dumps(status_list_dict, indent=4))
if save_as_json:
try:
processing.save_json(status_list_dict, os.path.join(
import_path, "mapillary_import_image_status_list.json"))
except Exception as e:
print("Could not save image status list into json at {}, due to {}".format(
os.path.join(import_path, "mapillary_import_image_status_list.json"), e))
# push images that were uploaded successfully
# collect upload params
if push_images:
to_be_pushed_files = uploader.get_success_only_manual_upload_file_list(
import_path, skip_subfolders)
params = {}
for image in tqdm(to_be_pushed_files, desc="Pushing images"):
log_root = uploader.log_rootpath(image)
upload_params_path = os.path.join(
log_root, "upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
to_be_pushed_files, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(to_be_pushed_files)
if move_images or move_duplicates or move_uploaded:
print("")
print("Note that images will be moved along with their mapillary logs in order to preserve the import status")
defualt_split_import_path = os.path.join(
import_path, "mapillary_import_split_images")
if not split_import_path:
final_split_path = defualt_split_import_path
print("")
print(
"Split import path not provided and will therefore be set to default path {}".format(defualt_split_import_path))
if split_import_path:
if not os.path.isfile(split_import_path):
final_split_path = defualt_split_import_path
print("Split import path does not exist, split import path will be set to default path {}".format(
defualt_split_import_path))
else:
final_split_path = split_import_path
print("")
print("Splitting import path {} into {} based on image import status...".format(
import_path, final_split_path))
if move_images:
move_duplicates = True
move_uploaded = True
# move failed uploads
if not len(failed_upload_files):
print("")
print(
"There are no failed upload images in the specified import path.")
else:
failed_upload_path = os.path.join(
final_split_path, "upload_failed")
if not os.path.isdir(failed_upload_path):
os.makedirs(failed_upload_path)
for failed in failed_upload_files:
failed_upload_image_path = os.path.join(
failed_upload_path, os.path.basename(failed))
os.rename(failed, failed_upload_path)
failed_upload_log_path = os.path.dirname(uploader.log_rootpath(
failed_upload_image_path))
if not os.path.isdir(failed_upload_log_path):
os.makedirs(failed_upload_log_path)
shutil.move(uploader.log_rootpath(failed),
failed_upload_log_path)
print("")
print("Done moving failed upload images to {}".format(
failed_upload_path))
if move_duplicates:
if not len(duplicates_file_list):
print("")
print("There were no duplicates flagged in the specified import path. If you are processing the images with mapillary_tools and would like to flag duplicates, you must specify --advanced --flag_duplicates")
else:
duplicate_path = os.path.join(
final_split_path, "duplicates")
if not os.path.isdir(duplicate_path):
os.makedirs(duplicate_path)
for duplicate in duplicates_file_list:
duplicate_image_path = os.path.join(
duplicate_path, os.path.basename(duplicate))
os.rename(duplicate, duplicate_image_path)
duplicate_log_path = os.path.dirname(uploader.log_rootpath(
duplicate_image_path))
if not os.path.isdir(duplicate_log_path):
os.makedirs(duplicate_log_path)
shutil.move(uploader.log_rootpath(duplicate),
duplicate_log_path)
print("")
print("Done moving duplicate images to {}".format(
duplicate_path))
if move_uploaded:
if not len(uploaded_files):
print("")
print(
"There are no successfuly uploaded images in the specified import path.")
else:
upload_success_path = os.path.join(
final_split_path, "upload_success")
if not os.path.isdir(upload_success_path):
os.makedirs(upload_success_path)
for uploaded in uploaded_files:
uploaded_image_path = os.path.join(
upload_success_path, os.path.basename(uploaded))
os.rename(uploaded, upload_success_path)
uploaded_log_path = os.path.dirname(uploader.log_rootpath(
uploaded_image_path))
if not os.path.isdir(uploaded_log_path):
os.makedirs(uploaded_log_path)
shutil.move(uploader.log_rootpath(uploaded),
uploaded_log_path)
print("")
print("Done moving successfully uploaded images to {}".format(
upload_success_path))
def post_process(import_path,
split_import_path=None,
video_import_path=None,
summarize=False,
move_all_images=False,
move_duplicates=False,
move_uploaded=False,
move_sequences=False,
save_as_json=False,
list_file_status=False,
push_images=False,
skip_subfolders=False,
verbose=False,
save_local_mapping=False):
# return if nothing specified
if not any([
summarize, move_all_images, list_file_status, push_images,
move_duplicates, move_uploaded, save_local_mapping, move_sequences
]):
print("No post processing action specified.")
return
# sanity check if video file is passed
if video_import_path and not os.path.isdir(
video_import_path) and not os.path.isfile(video_import_path):
print("Error, video path " + video_import_path +
" does not exist, exiting...")
sys.exit(1)
if move_all_images:
move_sequences = True
move_duplicates = True
move_uploaded = True
# in case of video processing, adjust the import path
if video_import_path:
# set sampling path
video_sampling_path = "mapillary_sampled_video_frames"
video_dirname = video_import_path if os.path.isdir(
video_import_path) else os.path.dirname(video_import_path)
import_path = os.path.join(
os.path.abspath(import_path),
video_sampling_path) if import_path else os.path.join(
os.path.abspath(video_dirname), video_sampling_path)
# basic check for all
if not import_path or not os.path.isdir(import_path):
print("Error, import directory " + import_path +
" does not exist, exiting...")
sys.exit(1)
if save_local_mapping:
local_mapping = save_local_mapping(import_path)
with open(local_mapping_filepath, "w") as csvfile:
csvwriter = csv.writer(csvfile, delimiter=",")
for row in local_mapping:
csvwriter.writerow(row)
if push_images:
to_be_pushed_files = uploader.get_success_only_manual_upload_file_list(
import_path, skip_subfolders)
params = {}
for image in tqdm(to_be_pushed_files, desc="Pushing images"):
log_root = uploader.log_rootpath(image)
upload_params_path = os.path.join(log_root,
"upload_params_process.json")
if os.path.isfile(upload_params_path):
with open(upload_params_path, "rb") as jf:
params[image] = json.load(
jf, object_hook=uploader.ascii_encode_dict)
# get the s3 locations of the sequences
finalize_params = uploader.process_upload_finalization(
to_be_pushed_files, params)
uploader.finalize_upload(finalize_params)
# flag finalization for each file
uploader.flag_finalization(to_be_pushed_files)
if any([summarize, list_file_status, move_uploaded]):
# upload logs
uploaded_files = uploader.get_success_upload_file_list(
import_path, skip_subfolders)
uploaded_files_count = len(uploaded_files)
failed_upload_files = uploader.get_failed_upload_file_list(
import_path, skip_subfolders)
failed_upload_files_count = len(failed_upload_files)
to_be_finalized_files = uploader.get_finalize_file_list(import_path)
to_be_finalized_files_count = len(to_be_finalized_files)
to_be_uploaded_files = uploader.get_upload_file_list(
import_path, skip_subfolders)
to_be_uploaded_files_count = len(to_be_uploaded_files)
if any([summarize, move_sequences]):
total_files = uploader.get_total_file_list(import_path)
total_files_count = len(total_files)
if any([summarize, move_duplicates, list_file_status]):
duplicates_file_list = processing.get_duplicate_file_list(
import_path, skip_subfolders)
duplicates_file_list_count = len(duplicates_file_list)
if summarize:
summary_dict = {}
summary_dict["total images"] = total_files_count
summary_dict["upload summary"] = {
"successfully uploaded": uploaded_files_count,
"failed uploads": failed_upload_files_count,
"uploaded to be finalized": to_be_finalized_files_count
}
# process logs
summary_dict["process summary"] = {}
process_steps = [
"user_process", "import_meta_process", "geotag_process",
"sequence_process", "upload_params_process",
"mapillary_image_description"
]
process_status = ["success", "failed"]
for step in process_steps:
process_success = len(
processing.get_process_status_file_list(
import_path, step, "success", skip_subfolders))
process_failed = len(
processing.get_process_status_file_list(
import_path, step, "failed", skip_subfolders))
summary_dict["process summary"][step] = {
"failed": process_failed,
"success": process_success
}
summary_dict["process summary"][
"duplicates"] = duplicates_file_list_count
summary_dict["process summary"][
"processed_not_yet_uploaded"] = to_be_uploaded_files_count
print("Import summary for import path {} :".format(import_path))
print(json.dumps(summary_dict, indent=4))
ipc.send('summary', summary_dict)
if save_as_json:
try:
processing.save_json(
summary_dict,
os.path.join(import_path, "mapillary_import_summary.json"))
except Exception as e:
print(
"Could not save summary into json at {}, due to {}".format(
os.path.join(import_path,
"mapillary_import_summary.json"), e))
if list_file_status:
status_list_dict = {}
status_list_dict["successfully uploaded"] = uploaded_files
status_list_dict["failed uploads"] = failed_upload_files
status_list_dict["uploaded to be finalized"] = to_be_finalized_files
status_list_dict["duplicates"] = duplicates_file_list
status_list_dict["processed_not_yet_uploaded"] = to_be_uploaded_files
print("")
print("List of file status for import path {} :".format(import_path))
print(json.dumps(status_list_dict, indent=4))
if save_as_json:
try:
processing.save_json(
status_list_dict,
os.path.join(import_path,
"mapillary_import_image_status_list.json"))
except Exception as e:
print(
"Could not save image status list into json at {}, due to {}"
.format(
os.path.join(
import_path,
"mapillary_import_image_status_list.json"), e))
split_import_path = split_import_path if split_import_path else import_path
if any([move_sequences, move_duplicates, move_uploaded]):
if not os.path.isdir(split_import_path):
print("Split import path {} does not exist.".format(
split_import_path))
sys.exit(1)
destination_mapping = {}
if move_duplicates:
for image in duplicates_file_list:
destination_mapping[image] = {"basic": ["duplicates"]}
if move_uploaded:
for image in uploaded_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("uploaded")
else:
destination_mapping[image] = {"basic": ["uploaded"]}
for image in failed_upload_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("failed_upload")
else:
destination_mapping[image] = {"basic": ["failed_upload"]}
for image in to_be_finalized_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append(
"uploaded_not_finalized")
else:
destination_mapping[image] = {
"basic": ["uploaded_not_finalized"]
}
for image in to_be_uploaded_files:
if image in destination_mapping:
destination_mapping[image]["basic"].append("to_be_uploaded")
else:
destination_mapping[image] = {"basic": ["to_be_uploaded"]}
if move_sequences:
destination_mapping = map_images_to_sequences(destination_mapping,
total_files)
for image in destination_mapping:
basic_destination = destination_mapping[image][
"basic"] if "basic" in destination_mapping[image] else []
sequence_destination = destination_mapping[image][
"sequence"] if "sequence" in destination_mapping[image] else ""
image_destination_path = os.path.join(*(
[split_import_path] + basic_destination +
[os.path.dirname(image[len(os.path.abspath(import_path)) + 1:])] +
[sequence_destination,
os.path.basename(image)]))
if not os.path.isdir(os.path.dirname(image_destination_path)):
os.makedirs(os.path.dirname(image_destination_path))
os.rename(image, image_destination_path)
image_logs_dir = uploader.log_rootpath(image)
destination_logs_dir = uploader.log_rootpath(image_destination_path)
if not os.path.isdir(image_logs_dir):
continue
if not os.path.isdir(os.path.dirname(destination_logs_dir)):
os.makedirs(os.path.dirname(destination_logs_dir))
os.rename(image_logs_dir, destination_logs_dir)