def api_import():
project = project_get_or_create()
# make django compatibility for uploader module
class DjangoRequest:
POST = request.form
GET = request.args
FILES = request.files
data = request.json if request.json else request.form
content_type = request.content_type
start = time.time()
# get tasks from request
parsed_data = uploader.load_tasks(DjangoRequest())
# validate tasks
validator = TaskValidator(project)
try:
new_tasks = validator.to_internal_value(parsed_data)
except ValidationError as e:
return make_response(jsonify(e.msg_to_list()),
status.HTTP_400_BAD_REQUEST)
# save task file to input dir
if os.path.isdir(project.config['input_path']):
# tasks are in directory, write a new file with tasks
task_dir = project.config['input_path']
now = datetime.now()
data = json.dumps(new_tasks, ensure_ascii=False)
md5 = hashlib.md5(json.dumps(data).encode('utf-8')).hexdigest()
name = 'import-' + now.strftime('%Y-%m-%d-%H-%M') + '-' + str(md5[0:8])
path = os.path.join(task_dir, name + '.json')
tasks = new_tasks
else:
# tasks are all in one file, append it
path = project.config['input_path']
old_tasks = json.load(open(path))
assert isinstance(old_tasks,
list), 'Tasks from input_path must be list'
tasks = old_tasks + new_tasks
logger.error("It's recommended to use directory as input_path: " +
project.config['input_path'] + ' -> ' +
os.path.dirname(project.config['input_path']))
with open(path, 'w') as f:
json.dump(tasks, f, ensure_ascii=False, indent=4)
# load new tasks
project.reload()
duration = time.time() - start
return make_response(
jsonify({
'task_count': len(new_tasks),
'completion_count': validator.completion_count,
'prediction_count': validator.prediction_count,
'duration': duration
}), status.HTTP_201_CREATED)
def api_import():
""" The main API for task import, supports
* json task data
* files (as web form, files will be hosted by this flask server)
* url links to images, audio, csv (if you use TimeSeries in labeling config)
"""
# make django compatibility for uploader module
class DjangoRequest:
def __init__(self): pass
POST = request.form
GET = request.args
FILES = request.files
data = request.json if request.json else request.form
content_type = request.content_type
start = time.time()
# get tasks from request
parsed_data, formats = uploader.load_tasks(DjangoRequest(), g.project)
# validate tasks
validator = TaskValidator(g.project)
try:
new_tasks = validator.to_internal_value(parsed_data)
except ValidationError as e:
return make_response(jsonify(e.msg_to_list()), status.HTTP_400_BAD_REQUEST)
# get the last task id
max_id_in_old_tasks = -1
if not g.project.no_tasks():
max_id_in_old_tasks = g.project.source_storage.max_id()
new_tasks = Tasks().from_list_of_dicts(new_tasks, max_id_in_old_tasks + 1)
try:
g.project.source_storage.set_many(new_tasks.keys(), new_tasks.values())
except NotImplementedError:
raise NotImplementedError('Import is not supported for the current storage ' + str(g.project.source_storage))
# if tasks have completion - we need to implicitly save it to target
for i in new_tasks.keys():
for completion in new_tasks[i].get('completions', []):
g.project.save_completion(int(i), completion)
# update schemas based on newly uploaded tasks
g.project.update_derived_input_schema()
g.project.update_derived_output_schema()
duration = time.time() - start
return make_response(jsonify({
'task_count': len(new_tasks),
'completion_count': validator.completion_count,
'prediction_count': validator.prediction_count,
'duration': duration,
'formats': formats,
'new_task_ids': [t for t in new_tasks]
}), status.HTTP_201_CREATED)
def api_import():
project = project_get_or_create()
# make django compatibility for uploader module
class DjangoRequest:
POST = request.form
GET = request.args
FILES = request.files
data = request.json if request.json else request.form
content_type = request.content_type
start = time.time()
# get tasks from request
parsed_data = uploader.load_tasks(DjangoRequest(), project)
# validate tasks
validator = TaskValidator(project)
try:
new_tasks = validator.to_internal_value(parsed_data)
except ValidationError as e:
return make_response(jsonify(e.msg_to_list()),
status.HTTP_400_BAD_REQUEST)
# tasks are all in one file, append it
path = project.config['input_path']
old_tasks = json.load(open(path))
max_id_in_old_tasks = int(max(map(int,
old_tasks.keys()))) if old_tasks else -1
new_tasks = Tasks().from_list_of_dicts(new_tasks, max_id_in_old_tasks + 1)
old_tasks.update(new_tasks)
with open(path, 'w') as f:
json.dump(old_tasks, f, ensure_ascii=False, indent=4)
# load new tasks and everything related
project.load_tasks()
project.load_derived_schemas()
duration = time.time() - start
return make_response(
jsonify({
'task_count': len(new_tasks),
'completion_count': validator.completion_count,
'prediction_count': validator.prediction_count,
'duration': duration,
'new_task_ids': [t for t in new_tasks]
}), status.HTTP_201_CREATED)
def api_import():
# make django compatibility for uploader module
class DjangoRequest:
POST = request.form
GET = request.args
FILES = request.files
data = request.json if request.json else request.form
content_type = request.content_type
start = time.time()
# get tasks from request
parsed_data, formats = uploader.load_tasks(DjangoRequest(), g.project)
# validate tasks
validator = TaskValidator(g.project)
try:
new_tasks = validator.to_internal_value(parsed_data)
except ValidationError as e:
return make_response(jsonify(e.msg_to_list()),
status.HTTP_400_BAD_REQUEST)
max_id_in_old_tasks = -1
if not g.project.no_tasks():
max_id_in_old_tasks = g.project.source_storage.max_id()
new_tasks = Tasks().from_list_of_dicts(new_tasks, max_id_in_old_tasks + 1)
g.project.source_storage.set_many(new_tasks.keys(), new_tasks.values())
# if tasks have completion - we need to implicitly save it to target
for i in new_tasks.keys():
for completion in new_tasks[i].get('completions', []):
g.project.save_completion(int(i), completion)
# update schemas based on newly uploaded tasks
g.project.update_derived_input_schema()
g.project.update_derived_output_schema()
duration = time.time() - start
return make_response(
jsonify({
'task_count': len(new_tasks),
'completion_count': validator.completion_count,
'prediction_count': validator.prediction_count,
'duration': duration,
'formats': formats,
'new_task_ids': [t for t in new_tasks]
}), status.HTTP_201_CREATED)
def api_import():
print("in api import")
project = project_get_or_create()
# make django compatibility for uploader module
class DjangoRequest:
POST = request.form
GET = request.args
FILES = request.files
data = request.json if request.json else request.form
content_type = request.content_type
print("In api_import")
start = time.time()
# get tasks from request
parsed_data = uploader.load_tasks(DjangoRequest())
# validate tasks
validator = TaskValidator(project)
try:
new_tasks = validator.to_internal_value(parsed_data)
except ValidationError as e:
return make_response(jsonify(e.msg_to_list()),
status.HTTP_400_BAD_REQUEST)
# save task file to input dir
if os.path.isdir(project.config['input_path']):
# tasks are in directory, write a new file with tasks
task_dir = project.config['input_path']
now = datetime.now()
print("In new tasks api_import")
data = json.dumps(new_tasks, ensure_ascii=False)
md5 = hashlib.md5(json.dumps(data).encode('utf-8')).hexdigest()
name = 'import-' + now.strftime('%Y-%m-%d-%H-%M') + '-' + str(md5[0:8])
path = os.path.join(task_dir, name + '.json')
tasks = new_tasks
else:
# tasks are all in one file, append it
path = project.config['input_path']
print("in old tasks section api_import")
old_tasks = json.load(open(path))
assert isinstance(old_tasks,
list), 'Tasks from input_path must be list'
tasks = old_tasks + new_tasks
temp = copy.deepcopy(tasks)
tasks[:] = []
numcomps = 3
startingindex = 0
count = [0] * len(temp)
c = 0
for i in range(0, len(temp)):
for j in range(0, param):
if (j + startingindex < len(temp)):
if (count[j + startingindex] < 3):
tasks.append(temp[j + startingindex])
count[j + startingindex] = count[j + startingindex] + 1
print(temp[j + startingindex])
c = c + 1
if (len(tasks) % (numcomps * param) == 0):
startingindex = startingindex + param
print(c)
logger.error("It's recommended to use directory as input_path: " +
project.config['input_path'] + ' -> ' +
os.path.dirname(project.config['input_path']))
with open(path, 'w') as f:
json.dump(tasks, f, ensure_ascii=False, indent=4)
# load new tasks
project.reload()
duration = time.time() - start
# #add to tasks queues
# num_tasks = len(new_tasks)
# temp = []
# a = 1
# while a < num_tasks:
# for b in range(a,a+param):
# temp.append(b)
# a = a + param
# if num_tasks - a < param:
# # add all the rest
# while(a <= num_tasks):
# temp.append(a)
# a = a + 1;
# task_queue.append(temp)
# temp=[]
# print("JUST MADE THE QUEUE!!!*********")
# print(task_queue)
task_queue = make_task_queue(num_tasks)
return make_response(
jsonify({
'task_count': len(new_tasks),
'completion_count': validator.completion_count,
'prediction_count': validator.prediction_count,
'duration': duration
}), status.HTTP_201_CREATED)
