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uploader.py
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uploader.py
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import argparse
import boto3
import configparser
import csv
import math
import os
import re
import requests
import shutil
import sys
import tarfile
import tempfile
import threading
import tqdm
class Uploader:
def createCsvData(self, csvfilename):
data_files = {}
csv_data = []
num_of_data_files = 0
if os.path.exists(csvfilename):
with open(csvfilename, 'r') as f:
csv_lines = f.readlines()
linecount = 0
num_of_items = -1
csvreader = csv.reader(csv_lines)
self._progress.init(len(csv_lines), 'Create CSV')
for row in csvreader:
self._progress(1.0)
# Validate
if linecount == 0: # Header
num_of_items = len(row)
else: # Data
if num_of_items != len(row):
self._log(
'invalid line {} in csv file.'.format(linecount))
return None, None
new_row = []
for item in row:
data_file = None
if os.path.isfile(item):
data_file = item
else:
fn = '/'.join([os.path.dirname(
csvfilename), '/'.join(item.split('\\'))])
if os.path.isfile(fn):
data_file = fn
if data_file is not None:
name = '/'.join(['data', '{:012d}_{}'.format(
num_of_data_files, os.path.basename(data_file))])
data_files[name] = os.path.abspath(data_file)
new_row.append(name)
num_of_data_files += 1
else:
new_row.append(item)
csv_data.append(new_row)
linecount += 1
self._progress.finish()
return csv_data, data_files
def createTemporaryTar(self, name, csv_data, data_files, tmpdir):
indexcsvfilename = os.path.join(tmpdir, 'index.csv')
self._log('Create index.csv')
self._progress.init(len(csv_data), 'Create index.csv')
with open(indexcsvfilename, 'w', newline='') as f:
csvwriter = csv.writer(f)
for row in csv_data:
csvwriter.writerow(row)
self._progress.finish()
tarfilename = os.path.join(tmpdir, '{}.tar'.format(name))
self._log('Add file to tar archive.')
self._progress.init(len(data_files), 'Create TAR')
with tarfile.open(tarfilename, 'w') as tar:
tar.add(indexcsvfilename, 'index.csv')
for datafile in sorted(data_files.keys()):
self._progress(1.0)
tar.add(data_files[datafile], datafile)
self._progress.finish()
return tarfilename
def uploadFile(self, endpoint, token, filename, name):
size = os.path.getsize(filename)
if endpoint == 'https://console-api.dl.sony.com':
self._log('Getting Upload path')
else:
self._log('Getting Upload path from [{}]'.format(endpoint))
r = requests.get('{}/v1/misc/credential'.format(endpoint),
params={
'encrypted_text': token,
'dataset_name': name,
'dataset_size': size})
info = r.json()
if 'upload_path' not in info:
if endpoint == 'https://console-api.dl.sony.com':
self._log('Upload_path could not be retrieved from the server.')
else:
self._log('Server returns [{}]'.format(info['message']))
return False
upload_url = info['upload_path']
if endpoint == 'https://console-api.dl.sony.com':
self._log('Got upload_url')
else:
self._log('upload_url is [{}]'.format(
upload_url))
bucketname, key = upload_url.split('://', 1)[1].split('/', 1)
upload_key = '{}/{}.tar'.format(key, name)
s3 = boto3.session.Session(aws_access_key_id=info['access_key_id'],
aws_secret_access_key=info['secret_access_key'],
aws_session_token=info['session_token']).client('s3')
tc = boto3.s3.transfer.TransferConfig(
multipart_threshold=10 * 1024 * 1024,
max_concurrency=10)
t = boto3.s3.transfer.S3Transfer(client=s3, config=tc)
self._progress.init(os.path.getsize(filename), 'Upload')
t.upload_file(filename, bucketname, upload_key,
callback=self._progress)
self._progress.finish()
return True
def __init__(self,
log,
token=None,
progress=None):
self._log = log
self._progress = progress
def convert(self, source, destination):
tmpdir = tempfile.mkdtemp()
self._log('Temporary dir {} created'.format(tmpdir))
try:
self._log('Prepare csv data')
csv_data, data_files = self.createCsvData(source)
if csv_data is not None:
self._log('Prepare tar file')
name = os.path.splitext(os.path.basename(source))[0]
tarfile = self.createTemporaryTar(name,
csv_data,
data_files,
tmpdir)
shutil.copyfile(tarfile, destination)
finally:
shutil.rmtree(tmpdir, ignore_errors=True)
self._log('Temporary dir removed')
def upload(self, token, filename, name, finishCallback=None, endpoint=None):
_, ext = os.path.splitext(filename)
if ext == '.csv':
tmpdir = tempfile.mkdtemp()
self._log('Temporary dir {} created'.format(tmpdir))
try:
self._log('Prepare csv data')
csv_data, data_files = self.createCsvData(filename)
self._log('Prepare tar file')
tarfile = self.createTemporaryTar(name,
csv_data,
data_files,
tmpdir)
self._log('Upload')
res = self.uploadFile(endpoint, token, tarfile, name)
finally:
shutil.rmtree(tmpdir, ignore_errors=True)
self._log('Temporary dir removed')
if res:
self._log('Finished')
elif ext == '.tar':
if self.uploadFile(endpoint, token, filename, name):
self._log('Finished')
else:
self._log('filename with extension {} is not supported.'.format(ext))
if finishCallback is not None:
finishCallback(False)
return
if finishCallback is not None:
finishCallback(True)
class Progress:
def __init__(self):
self._lock = threading.Lock()
self._pbar = None
def __call__(self, amount):
with self._lock:
if self._pbar is not None:
self._pbar.update(amount)
def init(self, maximum, label):
if self._pbar is not None:
self._pbar.close()
self._pbar = tqdm.tqdm(total=maximum, desc=label)
def finish(self):
self._pbar.close()
def log(string):
print(string)
def upload_command(args):
if not args.endpoint:
args.endpoint = os.getenv(
"NNC_ENDPOINT", 'https://console-api.dl.sony.com')
uploader = Uploader(log=log, progress=Progress())
name = os.path.splitext(os.path.basename(args.filename))[0]
uploader.upload(args.token, args.filename, name,
endpoint=args.endpoint)
return True
def add_upload_command(subparsers):
# Uploader
from nnabla.utils.cli.uploader import upload_command
subparser = subparsers.add_parser(
'upload', help='Upload dataset to Neural Network Console.')
subparser.add_argument(
'-e', '--endpoint', help='set endpoint uri', type=str)
subparser.add_argument('token', help='token for upload')
subparser.add_argument('filename', help='filename to upload')
subparser.set_defaults(func=upload_command)
def create_tar_command(args):
Uploader(log=log, progress=Progress()).convert(
args.source, args.destination)
def add_create_tar_command(subparsers):
# Create TAR for uploader
from nnabla.utils.cli.uploader import create_tar_command
subparser = subparsers.add_parser(
'create_tar', help='Create tar file for Neural Network Console.')
subparser.add_argument('source', help='CSV dataset')
subparser.add_argument('destination', help='TAR filename')
subparser.set_defaults(func=create_tar_command)