def draw(zDataCSVName):
z_data = pd.read_csv(os.path.join(StartingDataDirectory, zDataCSVName))
print(z_data)
data = [
go.Surface(
z=z_data.to_numpy(),
contours=go.surface.Contours(
z=go.surface.contours.Z(
show=True,
usecolormap=True,
highlightcolor="#42f462",
project=dict(z=True)
)
)
)
]
layout = go.Layout(
title='Testing Plotly',
autosize=False,
width=500,
height=500,
margin={
'l':60,
'r':50,
'b':65,
't':90
}
)
fig=go.Figure(data=data, layout=layout)
spinner = Spinner('Drawing ')
plotly.iplot(fig, filename='elevations-3d-suface')
spinner.finish()
def main(input_path, output_filename):
"""
Google Vison API to CSV
"""
# collect images from path
images = []
spinner = Spinner(('collect images from %s ' % input_path))
for current_file in os.listdir(input_path):
if current_file.endswith('.jpg'):
images.append(current_file)
spinner.next()
spinner.finish()
# analyze images with Google Vision API
responses = []
bar = Bar('analyze images', max=len(images))
for current_img in images:
request = generate_request(input_path + '/' + current_img)
response = call_api(request)
responses.append({'file': current_img, 'response': response})
bar.next()
bar.finish()
#print(json.dumps(responses, indent=4))
create_csv(responses, output_filename)
def start_broadcast(self, broadcast_id):
data = json.dumps({
'_uuid':
self.uuid,
'_uid':
self.username_id,
'should_send_notifications':
int(self.sendNotification),
'_csrftoken':
self.token
})
if self.send_request(endpoint='live/' + str(broadcast_id) + '/start/',
post=self.generate_signature(data)):
print('CTRL+C to quit.')
spinner = Spinner(" - ")
try:
while True:
spinner.next()
except KeyboardInterrupt:
spinner.finish()
pass
except Exception as error:
print(error)
self.end_broadcast(broadcast_id)
def _write_shard(path, source, shard_size, shard_index=None, verbose=True, bar=_DefaultBar):
if shard_index is not None:
path, ext = os.path.splitext(path)
path = path + f"_{shard_index}" + ext
if verbose:
if hasattr(source, "__len__"):
bar = bar(f"Writing to {path}", max=len(source))
else:
bar = Spinner(f"Writing to {path} ")
else:
bar = None
with h5py.File(path, "w") as f:
for example_index, example in enumerate(source):
example = (example,) if isinstance(example, Tensor) else example
for i, tensor in enumerate(example):
key = f"data_{i}"
if key not in f.keys():
f.create_dataset(key, (shard_size, *tensor.shape))
f[key][example_index, ...] = tensor
if bar is not None:
bar.next()
if bar is not None:
bar.finish()
if shard_index is not None:
f.attrs["shard_index"] = int(shard_index)
return path
def get_template_counts(model_id):
import tensorflow as tf
import numpy as np
print('Getting template counts for %s' % model_id)
graph = tf.Graph()
with graph.as_default():
builder = get_builder(model_id)
features, labels = builder.get_inputs(mode='train', repeat=False)
spec = builder.get_estimator_spec(features, labels, mode='eval')
predictions = spec.predictions
probs = predictions['probs']
counts = tf.argmax(probs, axis=-1)
totals = np.zeros((builder.n_templates, ), dtype=np.int32)
saver = tf.train.Saver()
with tf.train.MonitoredSession() as sess:
saver.restore(sess, tf.train.latest_checkpoint(builder.model_dir))
spinner = Spinner()
while not sess.should_stop():
c = sess.run(counts)
for ci in c:
totals[ci] += 1
spinner.next()
# break
spinner.finish()
return totals
def get_data(query, variables):
has_next = True
cursor = None
entities = []
spinner = Spinner('Fetching Github Data')
while has_next:
spinner.next()
variables['cursor'] = cursor
rate_limit = get_rate_limit(client)
handle_rate_limit(rate_limit)
results = json.loads(client.execute(query, variables))
if results['data'] and results['data']['search']['edges']:
nodes = [ edge['node'] for edge in results['data']['search']['edges']]
for node in nodes:
entities.append(parse_data(node))
has_next = results['data']['search']['pageInfo']['hasNextPage']
cursor = results['data']['search']['pageInfo']['endCursor']
else:
logger.warn(f'No data found: {results}')
has_next = False
spinner.finish()
print('\n')
return entities
def trainTimeout(dataset):
spiner = Spinner("Training 'no' GAN...")
while (True):
#start = time.time()
for vector_batch in dataset:
train_step(vector_batch)
spiner.next()
spiner.finish()
def crawl(baseUrl, firstUrl, numListingsRequested):
spinner = Spinner('Fetching listing URLs ')
# crawl all urls, starting with the first search result page
listingUrls = next(baseUrl, firstUrl, numListingsRequested, spinner)
spinner.finish()
return listingUrls
def start_spin(msg: str):
global spin
spinner = Spinner("%s " % msg)
spin = True
while spin:
spinner.next()
time.sleep(0.1)
spinner.finish()
return
def wait_and_get_im_sg_fd():
#info("waiting for device to appear")
progressBar = Spinner("Waiting for device: ")
while True:
sg_fd = get_im_sg_fd()
if sg_fd:
progressBar.finish()
return sg_fd
time.sleep(0.5)
progressBar.next()
def do_backup(self, args):
""" Back the current directory up to a hard drive if one is connected.
Otherwise do nothing for now but something can surely be arranged
with `dropbox` as well. Both would be nice.
"""
IGNORE_PATTERNS = ["*.pyc", "tmp", ".git", "contrib", ".xfer", ".backup",
".archive", ".gitignore"]
global TOTAL
TOTAL = size_of_dir(os.curdir, ignore=IGNORE_PATTERNS)
global done
done = 0
global spinner
spinner = None
def progress_update(path, names):
global done, TOTAL
if self.SETTINGS["verbose"]:
print("Backing up {}.".format(path))
for f in names:
ignore = False
for s in IGNORE_PATTERNS:
if fnmatch.fnmatch(f, s):
ignore = True
if not ignore:
path2add = os.path.join(path, f)
if not os.path.isdir(path2add):
done += os.path.getsize(path2add)
spinner.next()
return IGNORE_PATTERNS
dest = list()
if not os.path.exists(BACKUP_DIR_PATH):
os.makedirs(BACKUP_DIR_PATH)
dest.append(BACKUP_DIR_PATH)
if os.path.exists(os.path.join(DROPBOX)):
dest.append(DROPBOX)
pprint(dest)
try:
for d in dest:
spinner = Spinner("Backing files up to {} ".format(d))
if os.path.exists(d):
shutil.rmtree(d)
shutil.copytree(os.curdir,
d,
symlinks=True,
ignore=progress_update
# `ignore` can be used to log progress.
)
spinner.finish()
print(NEWLINE)
except shutil.Error as e:
print("Something went wrong!")
for x in e:
print ("Error copying {} to {}: {}".format(*x))
def test_bar():
from progress.spinner import Spinner
Spinner.phases = [
'🕐', '🕑', '🕒', '🕓', '🕔', '🕕', '🕖', '🕗', '🕘', '🕙', '🕚', '🕛'
]
_status_bar = Spinner("Downloading.. ", end="www")
for i in range(100):
time.sleep(0.02)
_status_bar.next()
_status_bar.message
_status_bar.finish()
def spin_that(q):
from progress.spinner import Spinner
b = Spinner('Decrypting data with the device ', file=sys.stderr)
for i in range(40):
b.next()
try:
if q.get(block=True, timeout=0.5):
break
except:
pass
b.finish()
sys.stderr.write(' done\n')
def unzip_files(path, folders=[], files=[]):
contents = zipfile.ZipFile(path)
# Unzip files from jar
spin = Spinner("Unzipping files...")
for f in contents.namelist():
spin.next()
for dir in folders:
if f.startswith(dir):
contents.extract(f)
for f in files:
contents.extract(f)
spin.finish()
def get_stars_forks_data(org, repo):
stars = []
stars_has_next = True
forks = []
forks_has_next = True
stars_cursor = None
forks_cursor = None
spinner = Spinner('Fetching Stars and Forks')
while stars_has_next or forks_has_next:
spinner.next()
variables = {
"org": org,
"repoName": repo,
"size": 100,
"starsCursor": stars_cursor,
"forksCursor": forks_cursor,
}
query = get_data_query('graphql/stars_forks_data.gql')
rate_limit = get_rate_limit(client)
handle_rate_limit(rate_limit)
results = json.loads(client.execute(query, variables))
if results['data'] and results['data']['repository']['stargazers']['edges']:
for edge in results['data']['repository']['stargazers']['edges']:
stars.append({
'owner': org,
'repo': repo,
'createdAt': edge['starredAt'],
})
stars_has_next = results['data']['repository']['stargazers']['pageInfo']['hasNextPage']
stars_cursor = results['data']['repository']['stargazers']['pageInfo']['endCursor']
if results['data'] and results['data']['repository']['forks']['edges']:
nodes = [ edge['node'] for edge in results['data']['repository']['forks']['edges']]
for node in nodes:
forks.append({
'owner': org,
'repo': repo,
'createdAt': node['createdAt']
})
forks_has_next = results['data']['repository']['forks']['pageInfo']['hasNextPage']
forks_cursor = results['data']['repository']['forks']['pageInfo']['endCursor']
spinner.finish()
return stars, forks
def process_list(urlist, wanted, output):
processed = []
formatted = (out.rtf_format if output == "rtf" else
out.json_format if output == "json" else out.std_format)
spinner = Spinner("Checking URLs ")
with concurrent.futures.ThreadPoolExecutor() as executor:
results = [executor.submit(get_status, url) for url in urlist]
for connection in concurrent.futures.as_completed(results):
status = connection.result()
if status["desc"] in wanted:
processed.append(formatted(status))
spinner.next()
spinner.writeln("\033[F") # move cursor to the beginning of previous line
spinner.finish()
return processed
def die():
global alive
alive = False
print("\n[+] Cleaning up...")
time.sleep(1)
spinner = Spinner("Exiting...")
for _ in range(10):
spinner.next()
time.sleep(0.1)
spinner.finish()
clear()
if linux:
os.system("reset")
sys.exit(0)
print("[+] Exited Successfully")
os._exit(1)
def gen_samples_with_prob(self, samples):
self.generator.drawSamples(samples)
self.generator.toCSV(self.path + 'samples.csv')
samplesToReturn = []
# Load the csv and return samples as list
with open(self.path + 'samples.csv', 'r') as read_obj:
csv_dict_reader = DictReader(read_obj)
spinner = Spinner("Loading samples...")
for row in csv_dict_reader:
asdict = dict(row)
world = [int(value) for value in list(asdict.values())]
prob = self.get_sampling_prob(asdict)
samplesToReturn.append([world, asdict, prob])
spinner.next()
spinner.finish()
return samplesToReturn
def program(self):
if markov.info_state == "rational":
conversation = " He must be really well-informed :-o"
else:
conversation = " I hope he makes a good decision..."
for i in range(0, self.maximum):
time.sleep(5)
print("The starting state is " + markov.info_state + ", Master!" + conversation)
program_spinner = Spinner("Simulating, Master!")
while True:
switching()
program_spinner.next()
if choice.current == build_up.destination:
break
program_spinner.finish()
def analyse(self):
"""
read from the messages queue, and generate:
1. Counter for From field
2. Counter for Time field (by hour)
"""
# {'id': '16f39fe119ee8427', 'labels': ['UNREAD', 'CATEGORY_UPDATES', 'INBOX'], 'fields': {'from': 'Coursera <*****@*****.**>', 'date': 'Tue, 24 Dec 2019 22:13:09 +0000'}}
with concurrent.futures.ThreadPoolExecutor() as executor:
progress = Spinner(f"{helpers.loader_icn} Loading messages ")
event = Event()
future = executor.submit(self._load_table, event)
while not event.isSet() and future.running():
progress.next()
time.sleep(0.1)
progress.finish()
progress = Spinner(f"{helpers.loader_icn} Analysing count ")
event = Event()
future = executor.submit(self._analyze_count, event)
while not event.isSet() and future.running():
progress.next()
time.sleep(0.1)
progress.finish()
progress = Spinner(f"{helpers.loader_icn} Analysing senders ")
event = Event()
future = executor.submit(self._analyze_senders, event)
while not event.isSet() and future.running():
progress.next()
time.sleep(0.1)
progress.finish()
progress = Spinner(f"{helpers.loader_icn} Analysing dates ")
event = Event()
future = executor.submit(self._analyze_date, event)
while not event.isSet() and future.running():
progress.next()
time.sleep(0.1)
progress.finish()
def banner():
init()
i = 0
load = Spinner()
while (i < 5):
i = i + 1
time.sleep(1)
load.next()
load.finish()
os.system("clear")
print(
colored(
"""
----------------------------------------------------------
████████╗░█████╗░██████╗░░█████╗░███╗░░██╗████████╗██╗░░░██╗██╗░░░░░░█████╗░
╚══██╔══╝██╔══██╗██╔══██╗██╔══██╗████╗░██║╚══██╔══╝██║░░░██║██║░░░░░██╔══██╗
░░░██║░░░███████║██████╔╝███████║██╔██╗██║░░░██║░░░██║░░░██║██║░░░░░███████║
░░░██║░░░██╔══██║██╔══██╗██╔══██║██║╚████║░░░██║░░░██║░░░██║██║░░░░░██╔══██║
░░░██║░░░██║░░██║██║░░██║██║░░██║██║░╚███║░░░██║░░░╚██████╔╝███████╗██║░░██║
░░░╚═╝░░░╚═╝░░╚═╝╚═╝░░╚═╝╚═╝░░╚═╝╚═╝░░╚══╝░░░╚═╝░░░░╚═════╝░╚══════╝╚═╝░░╚═╝
██╗░░░██╗ ██████╗░░░░░░███╗░░
██║░░░██║ ╚════██╗░░░░████║░░
╚██╗░██╔╝ ░░███╔═╝░░░██╔██║░░
░╚████╔╝░ ██╔══╝░░░░░╚═╝██║░░
░░╚██╔╝░░ ███████╗██╗███████╗
░░░╚═╝░░░ ╚══════╝╚═╝╚══════╝
----------------------------------------------------------
Version:2.1
Dipnot=Test amaçlı yazılmış olup tüm sorumluluk kullanıcıya aittir.
---------------------------------------------------------- """, "cyan"))
print(
colored(
"""
#########################
# Created by Rei-ken #
#########################""", "blue"))
print(
colored(
"""
Github : https://github.com/Rei-ken/
Youtube: https://youtube.com/channel/UC0huPBEXz8EW8SekJWVE_JQ
Discord: https://discord.gg/fMWyY5b
Web : https://reiken.online/
""", "magenta"))
def getEntropy(self):
cNodes = len(self.structure[0])
samples = list(itertools.product([1, 0], repeat=cNodes))
sum = 0.00
print(len(samples))
spinner = Spinner("Calculating entropy...")
for sample in samples:
evidence = {i: sample[i] for i in range(0, len(sample))}
prSample = self.get_sampling_prob(evidence)
if prSample != 0:
term = prSample * math.log2(prSample)
else:
term = 0
sum += term
spinner.next()
spinner.finish()
return -sum
def fetch_articles(self, output_progress=False):
spinner = None
if output_progress:
spinner = Spinner('Loading articles ')
articles_index = []
last_fetch = self._configs.get('last_fetch')
offset = 0
count = 20
while(True):
try:
articles = self._pocket.retrieve(
state='unread',
count=count,
offset=offset,
since=last_fetch
)
except PocketException as e:
spinner.finish()
raise_from(self._check_exception(e), e)
if not articles['list']:
break
articles_index.extend(self._get_articles_index(articles))
offset += count
if spinner:
spinner.next()
if spinner:
spinner.finish()
sort_field = self._configs.get('sort_field')
if not sort_field:
sort_field = 'reading_time'
articles_index = sorted(articles_index,
key=itemgetter(sort_field))
self._storage.write(articles_index)
self._configs.set('last_fetch', self._get_timestamp(datetime.now()))
self._configs.write()
def get_expression_data(df, GTEX_DB, GTEX_COLUMNS):
"""
This function get median gene expression values for 53 tissues from gtex db
"""
new_df = pd.DataFrame().assign(**GTEX_COLUMNS)
spinner = Spinner('Adding fetures ')
for gene_name in df.gene_symbol:
try:
spinner.next()
values = GTEX_DB.query(f'Description == "{gene_name}"').iloc[:, 2:]
if len(values) != 1:
values = pd.Series(GTEX_COLUMNS)
new_df = new_df.append(values, ignore_index=True)
except:
continue
spinner.finish()
print(new_df)
return new_df
def spinner():
# Just a little bit of flash. Has no true functionality, apart from
# possibly some psychological lift.
print
spinner = Spinner("Fetching tasks ")
for i in range(16):
spinner.next()
sleep(0.1)
spinner.finish()
spinner = Spinner("\rPicking a random task ")
for i in range(16):
spinner.next()
sleep(0.1)
spinner.finish()
print "Here you go!"
def fetch_articles(self, output_progress=False):
spinner = None
if output_progress:
spinner = Spinner('Loading articles ')
articles_index = []
last_fetch = self._configs.get('last_fetch')
offset = 0
count = 20
while (True):
try:
articles = self._pocket.retrieve(state='unread',
count=count,
offset=offset,
since=last_fetch)
except PocketException as e:
spinner.finish()
raise_from(self._check_exception(e), e)
if not articles['list']:
break
articles_index.extend(self._get_articles_index(articles))
offset += count
if spinner:
spinner.next()
if spinner:
spinner.finish()
sort_field = self._configs.get('sort_field')
if not sort_field:
sort_field = 'reading_time'
articles_index = sorted(articles_index, key=itemgetter(sort_field))
self._storage.write(articles_index)
self._configs.set('last_fetch', self._get_timestamp(datetime.now()))
self._configs.write()
def Pb10():
from progress.spinner import Spinner
#from progress.spinner import MoonSpinner
#from progress.spinner import PieSpinner
#from progress.spinner import PixelSpinner
#from progress.spinner import LineSpinner
import time
bar = Spinner('进度条10', max=100) #max的值100，可调节
#bar = MoonSpinner('进度条10', max=100)
#bar = PieSpinner('进度条10', max=100)
#bar = PixelSpinner('进度条10', max=100)
#bar = LineSpinner('进度条10', max=100)
for i in range(100): #这个也需要适当调节
bar.next()
time.sleep(0.1) #延迟时间，可调节，0.1~1之间最佳
bar.finish()
def get_aws_images(self, os_version):
"""Get the images available"""
ec2 = boto3.client('ec2', self._region)
os = "*" + os_version + '*'
filters = [{'Name': 'name', 'Values': [os]}]
image_info = {}
spinner = Spinner(OKGREEN + "Getting images from AWS" + ' ' + ENDC,
end=" ")
aws_images = ec2.describe_images(Filters=filters)
for image in aws_images['Images']:
image_info[image['ImageId']] = {}
image_info[image['ImageId']]['name'] = image['Name']
image_info[image['ImageId']]['date'] = image['CreationDate']
spinner.next()
# Sort images by date
sorted_images = dict(
OrderedDict(sorted(image_info.items(),
key=lambda t: t[1]['date'])))
spinner.finish()
return sorted_images
def create_csv(result, csv_filename):
spinner = Spinner(('create CSV file to %s ' % csv_filename))
with open(csv_filename, 'w') as f:
writer = csv.writer(f, delimiter='\t')
head = []
head.append('FILE')
head.append('DOMINANT_COLOR_RGB')
for x in range(MAX_RESULTS):
head.append('LABEL_' + str(x))
writer.writerow(head)
for response in result:
#print(response)
row = [
response['file'],
"(%s, %s, %s)" % (
response['response']['responses'][0]
['imagePropertiesAnnotation']['dominantColors']['colors']
[1]['color']['red'],
response['response']['responses'][0]
['imagePropertiesAnnotation']['dominantColors']['colors']
[1]['color']['green'],
response['response']['responses'][0]
['imagePropertiesAnnotation']['dominantColors']['colors']
[1]['color']['blue'],
),
]
for x in range(MAX_RESULTS):
try:
label = response['response']['responses'][0][
'labelAnnotations'][x]['description']
except IndexError:
label = 'NULL'
row.append(label)
#print(row)
writer.writerow(row)
spinner.next()
spinner.finish()
def program(self): #main program operation
if markov.info_state == "rational":
conversation = " He must be really well-informed :-o"
else:
conversation = " I hope he makes a good decision..."
for i in range(0, self.maximum):
time.sleep(3)
print("The starting state is %s, Master! %s" %
(markov.info_state, conversation))
#print("Going from %s to %s!" % (build_up.source, build_up.destination))
print("Going from %s to %s!" %
(choice.current, choice.destination))
time.sleep(3)
program_spinner = Spinner("Simulating, Master!")
while True:
switching()
print("Running!")
program_spinner.next()
print(choice.choice_list)
if choice.current == choice.destination:
break
program_spinner.finish()
build_up.set_points()
def entry(wikisite, wikipath, user, password, dry, verbose, logfile, protocol,
sleep, start):
global isSilent, logfileName
startMatched = False
processed = 0
updated = 0
if verbose:
isSilent = False
else:
if logfile:
logfileName = logfile
site = mwclient.Site(wikisite, wikipath, scheme=protocol)
site.requests['timeout'] = 300
site.login(user, password)
if dry:
echo("Doing a dry-run! No writes will be performed")
if isSilent:
spinner = Spinner('Loading ')
for page in site.Categories['Glossary']:
if start and not startMatched:
if page.page_title != start:
continue
else:
startMatched = True
processed = processed + 1
if page.namespace != 0:
echo("\tNot a regular page!")
continue
echo(page.page_title)
text = page.text()
if '|Link=' not in text:
echo("\tLink param not found!")
continue
wikicode = mwparserfromhell.parse(text)
templates = wikicode.filter_templates(matches='Glossary')
if not len(templates):
echo("\tTemplate not found!")
continue
template = templates[0]
if not template:
echo("\tTemplate not found!")
continue
if template.has_param('Link'):
link = template.get('Link')
linkValue = link.value.rstrip()
echo("\tLink: %s" % linkValue)
if not validators.url(linkValue):
echo("\t! The param value (%s) is not an URL!" % linkValue)
continue
r = requests.get('https://www.ebi.ac.uk/ols/api/terms?iri=%s' %
linkValue.replace('https://', 'http://'),
timeout=300)
json = r.json()
if '_embedded' not in json:
echo("\t! The API response does not contain a _embedded list:")
echo("\t\t%s" % json)
continue
if 'terms' not in json['_embedded']:
echo("\t! The API response does not contain a terms list:")
echo("\t\t%s" % json)
continue
terms = json['_embedded']['terms']
if not len(terms):
echo('\tTerms not found!')
continue
for term in terms:
label = term['label']
echo("\t\t%s" % label)
is_obsolete = term['is_obsolete']
replaced = term['term_replaced_by']
if replaced and not validators.url(replaced):
echo(
"\t! The replacement is not an URL but a term ID: %s" %
replaced)
r2 = requests.get(
'https://www.ebi.ac.uk/ols/api/terms?id=%s' % replaced,
timeout=300)
json2 = r2.json()
if not json2:
echo("Unable to fetch URI for term replcement %s" %
replaced)
continue
if '_embedded' not in json2:
echo("Unable to fetch _embedded for term replcement %s"
% replaced)
continue
if 'terms' not in json2['_embedded']:
echo("Unable to fetch terms for term replcement %s" %
replaced)
continue
if not len(json2['_embedded']['terms']):
echo("Unable to fetch terms for term replcement %s" %
replaced)
continue
v = json2['_embedded']['terms'][0]['iri']
if not v:
echo("Unable to fetch URI for term replcement %s" %
replaced)
continue
replaced = v
if replaced:
echo("\tTerm '%s' (Link: %s) is replaced by: %s" %
(label, linkValue, replaced))
link.value = '%s\n' % replaced
if not dry:
page.edit(text=str(wikicode),
summary='Updating EFO links: %s -> %s' %
(linkValue, replaced))
updated = updated + 1
echo("----------------")
echo(str(wikicode))
echo("----------------")
# all is done for the term, go next
continue
else:
echo("\t! Link param not found")
continue
if isSilent:
spinner.next()
if sleep:
time.sleep(sleep)
if isSilent:
spinner.finish()
echo("Done!")
echo("\nProcessed %s pages, Updated %s pages" % (processed, updated))
print("The following error message was received from SLACK API: " + str(response['error']))
continue
spinner = Spinner('Looking for files...\n')
if(fileCount > 0):
print("Parsing " + str(fileCount) + " files...\n", end='', file=sys.stdout)
spinner.next()
else:
print("No files older than 10 days found.", file=sys.stdout)
spinning = True
while spinning:
if len(response["files"]) == 0:
spinner.finish()
spinning = False
break
elif(whileCount >= fileCount and whileCount > 1):
spinner.finish()
spinning = False
sys.stdout.flush()
sys.stdout.write("We couldn't delete some files posted by other users on private conversations.")
break
else:
iteratorCounter = 0
spinner.next()
for f in response["files"]:
iteratorCounter += 1
#get user info for this file
def update(self, file_name=None, file_path=None):
# If no file name or file path is set, use the command line arguments.
if file_name == None and file_path == None:
file_name = sys.argv[2]
file_path = sys.argv[3]
# Get Drive service.
driveConnect = drive_api.get_service()
# Check if a remote file with the given name exists. If one does not, print an error message and return.
if not drive_api.file_with_name_exists(driveConnect, file_name):
print('Remote file with name ' + file_name + ' does not exist.')
return
# Get directory ID.
dirId = drive_api.get_file_id_from_name(driveConnect, file_name)
# Get a list of the fragments that currently make up the file. If this is a new upload, it should come back empty.
orig_fragments = drive_api.get_files_list_from_folder(
driveConnect, dirId)
# Determine if upload is taking place from an HTTP or HTTPS URL.
urlUpload = False
if file_path[0:4].lower() == 'http':
urlUpload = True
urlUploadHandle = requests.get(file_path,
stream=True,
allow_redirects=True)
fileSize = -1 # If file is being uploaded from web server and size cannot be retrieved this will stay at -1.
if urlUpload:
try:
fileSize = int(urlUploadHandle.headers.get('content-length'))
except TypeError:
pass
if fileSize == -1:
# If fileSize is set to -1, set totalFrags to "an unknown number of"
totalFrags = 'an unknown number of'
else:
fileSize = os.stat(file_path).st_size
if fileSize != -1:
totalFrags = math.ceil(fileSize / 10223999)
print('Upload started. Upload will be composed of ' + str(totalFrags) +
' fragments.\n')
# Set chunk size for reading files to 9.750365257263184MB (10223999 bytes)
readChunkSizes = 10223999
# Doc number
docNum = 1
# Used to keep track of the numbers for fragments that have failed uploads.
failedFragmentsSet = set()
# Progress bar
if fileSize == -1:
# The file size is unknown
upBar = Spinner('Uploading... ')
else:
# The file size is known
upBar = ShadyBar('Uploading...',
max=max(math.ceil(fileSize / 10223999),
len(orig_fragments)))
if urlUpload:
# If the upload is taking place from a URL...
# Iterate through remote file until no more data is read.
for fileBytes in urlUploadHandle.iter_content(
chunk_size=readChunkSizes):
# Advance progress bar
upBar.next()
if docNum <= len(orig_fragments):
# A remote fragment is present, so update it.
upload_handler.handle_update_fragment(
drive_api, orig_fragments[docNum - 1], fileBytes,
driveConnect, docNum, self.debug_log)
else:
# Process the fragment and upload it to Google Drive.
upload_handler.handle_upload_fragment(
drive_api, fileBytes, driveConnect, dirId, docNum,
failedFragmentsSet, self.debug_log)
# Increment docNum for next Word document.
docNum = docNum + 1
# Run garbage collection. Hopefully, this will prevent process terminations by the operating system on memory-limited devices such as the Raspberry Pi.
gc.collect()
else:
# If the upload is taking place from a file path...
# Get file byte size
fileSize = os.path.getsize(file_path)
# Iterate through file in chunks.
infile = open(str(file_path), 'rb')
# Read an initial chunk from the file.
fileBytes = infile.read(readChunkSizes)
# Keep looping until no more data is read.
while fileBytes:
# Advance progress bar
upBar.next()
if docNum <= len(orig_fragments):
# A remote fragment is present, so update it.
upload_handler.handle_update_fragment(
drive_api, orig_fragments[docNum - 1], fileBytes,
driveConnect, docNum, self.debug_log)
else:
# Process the fragment and upload it to Google Drive.
upload_handler.handle_upload_fragment(
drive_api, fileBytes, driveConnect, dirId, docNum,
failedFragmentsSet, self.debug_log)
# Increment docNum for next Word document and read next chunk of data.
docNum = docNum + 1
fileBytes = infile.read(readChunkSizes)
# Run garbage collection. Hopefully, this will prevent process terminations by the operating system on memory-limited devices such as the Raspberry Pi.
gc.collect()
infile.close()
# If an update took place and the new file had fewer fragments than the previous file, delete any leftover fragments from the previous upload.
docNum = docNum - 1
while docNum < len(orig_fragments):
upBar.next()
drive_api.delete_file_by_id(drive_api.get_service(),
orig_fragments[docNum]['id'])
docNum = docNum + 1
# Process fragment upload failures
upload_handler.process_failed_fragments(drive_api, failedFragmentsSet,
dirId, self.debug_log)
upBar.finish()
# If the number of fragments to expect from a file upload is known, verify that the upload is not corrupted.
if totalFrags != 'an unknown number of':
print('Verifying upload.')
foundFrags = len(
drive_api.get_files_list_from_folder(drive_api.get_service(),
dirId))
if (totalFrags != foundFrags):
self.debug_log.write(
"----------------------------------------\n")
self.debug_log.write(
"InfiniDrive detected upload corruption.\n")
self.debug_log.write("Expected Fragments: " + str(totalFrags) +
"\n")
self.debug_log.write("Actual Fragments : " + str(foundFrags) +
"\n")
print(
'InfiniDrive has detected that your upload was corrupted. Please report this issue on the InfiniDrive GitHub issue tracker and upload your "log.txt" file.'
)
print('Upload complete!')