def load_translation(translation_path):
"""从文件夹中读取所有翻译文件
Args:
translation_path (str): 存放翻译 xlsx 文件的路径或文件
Returns:
category_to_translated (dict[str: list]): dict<str, list>, 根据 category 归类的翻译
"""
file_list = []
if os.path.isfile(translation_path):
file_list.append((translation_path, translation_path))
else:
for dir_path, dir_names, file_names in os.walk(translation_path):
for file_name in file_names:
if file_name.lower().endswith('.xlsx') and not file_name.startswith('~'):
file_path = os.path.join(dir_path, file_name)
file_list.append((file_name, file_path))
category_to_translated = {}
for file_name, file_path in file_list:
# load from one file
log.info('load from %s' % file_name)
category, translated_data = load_from_langxls(file_path, "zh", need_check=True)
log.info('load %d %ss' % (len(translated_data), category))
if category in category_to_translated:
log.warning('warning: override category %s' % category)
category_to_translated[category] = translated_data
return category_to_translated
def multi_trim(cls, files=[], callback_list=[]):
'''多线程批量文件截取
:param: files(List): 待剪切文件配置组成的list。
[
{
'path':'/Users/nut/Downloads/RS/CCAV.mp4',
'trim_times':(
("00:50:22", "01:03:27"),
("01:19:39", "01:37:04"), ...
)
}...
]
:param: callback_list(List): 处理完文件剪切后的回调函数名组成的list。
['compress', ...]
'''
log.warning('线程:%s, 父进程:%s, <Task (%s) start...>' % (
threading.current_thread().getName(), os.getpid(), sys._getframe().f_code.co_name))
executor = BoundedExecutor(0, 4)
for file in files:
suffix_number = 0
for time in file.get('trim_times'):
suffix_number += 1
log.info(sys._getframe().f_code.co_name,
'suffix_number', suffix_number)
future = executor.submit(cls(file.get(
'path')).trim, time=time, suffix_number=suffix_number, lock=executor.lock)
for callback in callback_list:
future.add_done_callback(getattr(cls, callback))
log.info(sys._getframe().f_code.co_name,
'time, suffix_number', time, suffix_number)
def get_head_token_idx(self,
start_token_idx,
end_token_idx,
msg_prefix=''):
self.check_token_idx(start_token_idx)
self.check_token_idx(end_token_idx - 1)
assert start_token_idx < end_token_idx, \
'start_token_idx:{} >= end_token_idx:{}'.format(
start_token_idx, end_token_idx)
head_idx_map = []
for token_idx in range(start_token_idx, end_token_idx):
head_trace = [token_idx]
while start_token_idx <= head_trace[-1] < end_token_idx:
_, head_idx = self.get_parent(head_trace[-1], msg_prefix)
# warn if there is a loop in finding one token's head token
if head_idx in head_trace:
log.warning(
'{}: In sentence #{}, token #{} has loop in its head '
'trace list.'.format(msg_prefix, self._sent_idx,
token_idx))
break
head_trace.append(head_idx)
head_idx_map.append((token_idx, head_trace[-2]))
head_idx_list = [head_idx for _, head_idx in head_idx_map]
# warn if the tokens in the range don't have the same head token
if min(head_idx_list) != max(head_idx_list):
log.warning(
'{}: In sentence #{}, tokens within the range [{}, {}] do not '
'have the same head token'.format(msg_prefix, self._sent_idx,
start_token_idx,
end_token_idx))
return min(head_idx_list)
def get_gdrive_sheet(spreadsheet_name, sheet_name, retries=3):
"""
Get a google drive spreadsheet
Args:
spreadsheet_name: name of the document
sheet_name: name of the sheet inside the document
"""
init_gdrive()
msg_error = "ConnectionError ({}) when trying to get '{}/{}'. Details: {}"
# Open sheet in a way we can have some retries
for x in range(retries):
try:
# Get the spreadsheet
spreadsheet = GDRIVE.open(spreadsheet_name)
return spreadsheet.worksheet(sheet_name)
except ConnectionError as e:
log.warning(msg_error.format(x, spreadsheet_name, sheet_name, e))
# Sleep to avoid query limitations
sleep(x * 10)
# Init gdrive again just in case
init_gdrive(force=True)
log.error(msg_error.format("last_attempt", spreadsheet_name, sheet_name, e))
raise ValueError("Too many reading attemps in 'get_gdrive_sheet'")
def init_env(config):
# set a debug environment variable CUBLAS_WORKSPACE_CONFIG to ":16:8" (may limit overall performance) or ":4096:8" (will increase library footprint in GPU memory by approximately 24MiB).
# https://docs.nvidia.com/cuda/cublas/index.html
os.environ['CUBLAS_WORKSPACE_CONFIG'] = ":4096:8"
if config.seed is not None:
if config.seed >= 0:
np.random.seed(config.seed)
torch.manual_seed(config.seed)
torch.set_deterministic(True)
torch.backends.cudnn.benchmark = False
else:
log.warning(f'the random seed should be a non-negative integer')
config.device = None
if not config.cpu and torch.cuda.is_available():
config.device = torch.device('cuda')
else:
config.device = torch.device('cpu')
# https://github.com/pytorch/pytorch/issues/11201
torch.multiprocessing.set_sharing_strategy('file_system')
log.info(f'Using device: {config.device}')
config.run_name = '{}_{}_{}'.format(
config.data_name,
Path(config.config).stem if config.config else config.model_name,
datetime.now().strftime('%Y%m%d%H%M%S'),
)
log.info(f'Run name: {config.run_name}')
return config
def show(title, options, can_exit=True, main_menu=False, decorator='++'):
"""
Display a menu
options: dictionary in which each key is a string and each value is a tuple (string, function), representing
the text of the function that will be called when the related string in inserted as input
ex: { 'a', ('option a', print) } : print 'option a' and when 'a' is pressed, call the function 'print'
"""
log.success('{} {} {}'.format(decorator, title, decorator))
for s,f in options.items():
log.warning('({}) {}'.format(s,f[0]))
if can_exit:
log.warning('(x) Exit')
wrong_choice = True
while(wrong_choice):
arg = input()
print()
try:
if arg=='x' and can_exit:
wrong_choice = False
quit_menu(main_menu)
else:
funct = options[arg][1]
wrong_choice = False
res = funct()
quit_menu(main_menu)
return res
except KeyError as _:
log.error('Invalid option, retry:')
def load_translation(translation_path):
"""从文件夹中读取所有翻译文件
Args:
translation_path (str): 存放翻译 xlsx 文件的路径或文件
Returns:
category_to_translated (dict[str: list]): dict<str, list>, 根据 category 归类的翻译
"""
file_list = []
if os.path.isfile(translation_path):
file_list.append((translation_path, translation_path))
else:
for dir_path, dir_names, file_names in os.walk(translation_path):
for file_name in file_names:
if file_name.lower().endswith(
'.xlsx') and not file_name.startswith('~'):
file_path = os.path.join(dir_path, file_name)
file_list.append((file_name, file_path))
category_to_translated = {}
for file_name, file_path in file_list:
# load from one file
log.info('load from %s' % file_name)
category, translated_data = load_from_langxls(file_path,
"zh",
need_check=True)
log.info('load %d %ss' % (len(translated_data), category))
if category in category_to_translated:
log.warning('warning: override category %s' % category)
category_to_translated[category] = translated_data
return category_to_translated
def query_pair(origin, destination, n_days=366):
"""
Query all flights between 2 airports
Args:
origin: code for origin airport
destination: code for destination airport
n_days: max days of history
"""
# Start at day 1 since it will only query when day==1
start_day = date.today()
dfs = []
for x in range(n_days):
query_day = start_day + timedelta(x)
# Only do first day of month
if (query_day.day != 1) and (query_day != start_day):
log.trace(f"Skiping day '{query_day}'")
continue
response = query_flights(origin, destination, query_day)
data = response.json()
if data["Quotes"]:
dfs.append(parse_data(data))
if dfs:
return pd.concat(dfs).reset_index(drop=True)
else:
log.warning(f"No flights from '{origin}' to '{destination}'")
def _make_task(self, task_info):
if task_info.type in self.types:
task_class = self.types[task_info.type]
task_data = self.storage[task_info.id]
return task_class(task_info, task_data, self.signal)
else:
log.warning('Cannot handle task type "{}"', task_info.type)
def set_head_token_idx(self, dep_graph):
check_type(dep_graph, DependencyGraph)
if self.head_token_idx != -1:
log.warning('Overriding existing head_token_idx {}'.format(
self.head_token_idx))
self.head_token_idx = dep_graph.get_head_token_idx(
self.start_token_idx, self.end_token_idx)
def download(addon):
# TODO: prevent multiple downloads.
current = addon['current_version']
for file_obj in current['files']:
url = file_obj['url']
filename = file_obj['id']
directories = get_directories(addon['id'])
target = '{}.xpi'.format(
os.path.join(directories['files'], str(file_obj['id'])), )
if os.path.exists(target):
log.info('{}: Skipping download'.format(addon['id']))
continue
res = requests.get(url)
if res.status_code == 404:
log.warning('{}: got a 404'.format(addon['id']))
continue
else:
res.raise_for_status()
with open(target, 'wb') as filehandle:
for chunk in res.iter_content(10000):
filehandle.write(chunk)
log.info('{}: Downloaded file: {}'.format(addon['id'], file_obj['id']))
def inner(*args, **kwargs):
start_time = time.time()
ret = func(*args, **kwargs)
log.warning('线程:%s, 父进程:%s, 耗时:%s, <Task (%s) finished!!!>' %
(threading.current_thread().getName(), os.getpid(),
time.time() - start_time, func.__name__))
return ret
def load_from_list_category(data, lang, need_check=True):
"""解析从 list<text> 模式的 xlsx 中读取的翻译
Args:
data: 从 xlsx 读出的数据，data[i][j] 表示第 i 行第 j 列的数据
lang (str): "zh"/"en", 读中文还是英文
need_check (bool): 是否检查
Returns:
category (str): category from lang_def
translated_data (list[str]): list of [file_id, unknown, index, text]
"""
# check
if need_check:
for row in data:
if row[4] != '' and not check_string_with_origin(row[3], row[4]):
log.warning('check string failed: %s', str(row[1]))
# 删除多余数据，只保留 内部编号, 英文/中文
if lang == 'en':
data = [(row[1], row[3]) for row in data]
else:
data = [(row[1], row[4]) for row in data]
category = data[0][0].rsplit('-', 3)[0]
# 恢复编号
translated_data = []
for intern_id, text in data:
if intern_id != '' and text != '':
file_id, unknown, index = [str(int(x)) for x in intern_id.rsplit('-', 3)[1:]] # str 形式，不带前导0
translated_data.append([file_id, unknown, index, text])
return category, translated_data
def build_predicates(self):
assert len(self.all_instances) > 0
assert self.treebank_reader is not None
assert self.nombank_reader is not None
assert self.predicate_mapping is not None
assert self.corenlp_reader is not None
if len(self.all_predicates) > 0:
log.warning('Overriding existing predicates')
self.all_predicates = []
log.info('Building predicates')
for instance in self.all_instances:
predicate = Predicate.build(instance)
predicate.set_pred(self.predicate_mapping[str(
predicate.pred_pointer)])
self.all_predicates.append(predicate)
log.info('Checking explicit arguments with Nombank instances')
for predicate in self.all_predicates:
nombank_instance = self.nombank_reader.search_by_pointer(
predicate.pred_pointer)
predicate.check_exp_args(nombank_instance,
add_missing_args=False,
remove_conflict_imp_args=False,
verbose=False)
log.info('Parsing all implicit and explicit arguments')
for predicate in self.all_predicates:
predicate.parse_args(
self.treebank_reader,
self.corenlp_reader,
include_non_head_entity=self.include_non_head_entity)
log.info('Done')
async def task_info(chat, cq, match, user_data):
await cq.answer()
task_name = match.group(1)
if task_name not in user_data['tasks']:
log.warning('Task name \'{}\' not in user tasks {}', task_name,
user_data['tasks'].keys())
log.debug('User data: {}', user_data)
return await error_message(chat, None, user_data)
task = user_data['tasks'][task_name]
info = '''
Task info:
Name: {}
State: {}
URL: {}
Blacklist: {}
Whitelist: {}
'''.format(task.name, 'active' if task.state else 'inactive',
task.args['url'], ', '.join(task.args['blacklist']),
', '.join(task.args['whitelist']))
delete_inline = make_inline_keyboard(
1, (Buttons.TASK_DELETE, Constants.TASK_DELETE_TMPL.format(task_name)),
to_json=False)
return await chat.edit_text(chat.message['message_id'],
info,
markup=delete_inline)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--prefix', type=str, default='default')
parser.add_argument('--model',
type=str,
default='baseline',
choices=['baseline', 'rn',
'film']) # model architecture
parser.add_argument('--batch_size', type=int, default=64)
parser.add_argument('--learning_rate', type=float, default=1e-4)
parser.add_argument(
'--lr_weight_decay', action='store_true', default=False
) # if True, learning rate is decayed with exponential scheduling
parser.add_argument('--checkpoint', type=str, default=None)
parser.add_argument('--dataset_path',
type=str,
default='datasets/SortOfCLEVR_4_200000_32')
parser.add_argument('--image_size', type=int, default=32)
config = parser.parse_args()
train_dataset = SortOfCLEVR(config.dataset_path, split='train')
val_dataset = SortOfCLEVR(config.dataset_path, split='val')
trainer = Trainer(config, train_dataset, val_dataset)
log.warning("dataset: %s, learning_rate: %f", config.dataset_path,
config.learning_rate)
trainer.train()
def push(self):
"""Push todo to gist.github.com"""
github = Github()
gist_id = GistId().get()
token = GithubToken().get()
github.login(token)
if not self.todo.name:
name = "Todo"
else:
name = self.todo.name
files = {
name: {
"content": self.todo_content
}
}
log.info(
"Pushing '%s' to https://gist.github.com/%s .." % (name, gist_id)
)
response = github.edit_gist(gist_id, files=files)
if response.status_code == 200:
log.ok("Pushed success.")
elif response.status_code == 401:
log.warning("Github token out of date, empty the old token")
GithubToken().save('') # empty the token!
self.push() # and repush
else:
log.error("Pushed failed. %d" % response.status_code)
def upload(self, src, after_copy=None):
log.info("Mounting the {} folder".format(self._dest))
try:
filename = path.basename(src)
call(['fusermount', '-u', '-z', self._mount_point])
if not path.isdir(self._mount_point):
mkdir(self._mount_point)
cmd = 'sshfs {} {}@{}:{} {} -o IdentityFile={},StrictHostKeyChecking=no'.format(
"-p " + str(self._port), self._user, self._host, self._dest,
self._mount_point, self._identity)
print(cmd)
c, _, __ = self._run_process(cmd.split(' '))
if c != 0:
raise RuntimeError('Can\'t mount remote FS')
shutil.copy2(src, path.join(self._mount_point, filename))
if callable(after_copy):
after_copy(self)
except Exception as e:
log.warning(
'Unable to copy file to remote location. Exception: {}'.format(
e))
raise
finally:
self._run_process(['fusermount', '-u', '-z', self._mount_point])
def prepare():
log.info('prepare content')
try:
content.main(action='extract')
create_sample_players()
except Exception, e:
log.warning('can not extract content: %s', e)
def multi_compress(cls, directory='', callback_list=[]):
'''多线程批量文件压缩
:param: directory(String): 待压缩文件所在的目录绝对地址。
'/usr/media/'
:param: callback_list(List): 处理完文件压缩后的回调函数名组成的list。
['func', ...]
'''
log.warning('父进程:%s, 线程:%s, <Task (%s) start...>' %
(os.getpid(), threading.current_thread().getName(),
sys._getframe().f_code.co_name))
executor = BoundedExecutor(0, 4)
directory = directory.strip()
if os.path.isdir(directory):
file_path_list = os.listdir(directory)
log.info(sys._getframe().f_code.co_name, 'file_path_list',
file_path_list)
for file_path in file_path_list:
future = executor.submit(cls.compress,
file_path=os.path.join(
directory, file_path))
log.info(sys._getframe().f_code.co_name, 'file_path', file_path,
future)
for callback in callback_list:
future.add_done_callback(getattr(cls, callback))
executor.shutdown(wait=True)
def download(addon):
# TODO: prevent multiple downloads.
current = addon['current_version']
for file_obj in current['files']:
url = file_obj['url']
filename = file_obj['id']
directories = get_directories(addon['id'])
target = '{}.xpi'.format(
os.path.join(directories['files'], str(file_obj['id'])),
)
if os.path.exists(target):
log.info('{}: Skipping download'.format(addon['id']))
continue
res = requests.get(url)
if res.status_code == 404:
log.warning('{}: got a 404'.format(addon['id']))
continue
else:
res.raise_for_status()
with open(target, 'wb') as filehandle:
for chunk in res.iter_content(10000):
filehandle.write(chunk)
log.info('{}: Downloaded file: {}'.format(addon['id'], file_obj['id']))
def main():
if sys.argv[1] == '1':
update_translation()
elif sys.argv[1] == '2':
merge_translation()
else:
log.warning('unknown args')
sys.exit(-2)
def test_invalid_response_received(self):
# Response received is invalid
self.ping_r_in._msg_dict[message.RESPONSE] = 'zz'
ok_(not self.got_response)
log.warning(
"**IGNORE WARNING LOG**")
self.query.on_response_received(self.ping_r_in)
ok_(not self.got_response)
def evaluate(self, recommendations, test_urm, at_k=10, single_ap=False, verbose=True):
"""
Return the MAP@k evaluation for the provided recommendations
computed with respect to the test_urm
Parameters
----------
recommendations : list
List of recommendations, where a recommendation
is a list (of length N+1) of playlist_id and N items_id:
[ [7, 18,11,76, ...] ,
[13, 65,83,32, ...] ,
[25, 30,49,65, ...] , ... ]
test_urm : csr_matrix
A sparse matrix
at_k : int, optional
The number of items to compute the precision at
single_ap: bool, optional
If True, return also the array of AP for each user
Returns
-------
MAP@k: (float) MAP for the provided recommendations
"""
if not at_k > 0:
log.error('Invalid value of k {}'.format(at_k))
return
start = time.time()
aps = 0.0
ap_array = []
for r in recommendations:
row = test_urm.getrow(r[0]).indices
m = min(at_k, len(row))
ap = 0.0
n_elems_found = 0.0
for j in range(1, m+1):
if r[j] in row:
n_elems_found += 1
ap = ap + n_elems_found/j
if m > 0:
ap = ap/m
aps += ap
if single_ap:
ap_array.append(ap)
result = aps/len(recommendations)
print('MAP computed in {:.2f} s'.format(time.time() - start))
if verbose:
log.warning('MAP: {}'.format(result))
if single_ap:
return result, ap_array
else:
return result
async def recv(self):
async for data in self.socket:
msg = Message.load(data)
if msg is not None:
# log.debug(f'Received: {msg} from {self}')
await self.dispatcher.dispatch(msg, self)
else:
log.warning(f'Bad message:\n{data}')
self.rank -= 1
def run(self, target=None, tid=None, pid=None):
if target is None:
log.critical("Please set --target param")
sys.exit()
if tid is not None:
task_id = tid
# Start Time For Task
t = CobraTaskInfo.query.filter_by(id=tid).first()
if t is None:
log.critical("Task id doesn't exists.")
sys.exit()
if t.status not in [0, 1]:
log.critical("Task Already Scan.")
sys.exit()
t.status = 1
t.time_start = int(time.time())
t.updated_at = time.strftime('%Y-%m-%d %X', time.localtime())
try:
db.session.add(t)
db.session.commit()
except Exception as e:
log.error("Set start time failed" + str(e.message))
else:
task_id = None
target_type = self.parse_target(target)
if target_type is False:
log.error("""
Git Repository: must .git end
SVN Repository: can http:// or https://
Directory: must be local directory
File: must be single file or tar.gz/zip/rar compress file
""")
from engine import static
s = static.Static(target, task_id=task_id, project_id=pid)
if target_type is 'directory':
s.analyse()
elif target_type is 'compress':
from utils.decompress import Decompress
# load an compressed file. only tar.gz, rar, zip supported.
dc = Decompress(target)
# decompress it. And there will create a directory named "222_test.tar".
dc.decompress()
s.analyse()
elif target_type is 'file':
s.analyse()
elif target_type is 'git':
from pickup.GitTools import Git
g = Git(target, branch='master')
g.get_repo()
if g.clone() is True:
s.analyse()
else:
log.critical("Git clone failed")
elif target_type is 'svn':
log.warning("Not Support SVN Repository")
def run(self, target=None, tid=None, pid=None):
if target is None:
log.critical("Please set --target param")
sys.exit()
if tid is not None:
task_id = tid
# Start Time For Task
t = CobraTaskInfo.query.filter_by(id=tid).first()
if t is None:
log.critical("Task id doesn't exists.")
sys.exit()
if t.status not in [0, 1]:
log.critical("Task Already Scan.")
sys.exit()
t.status = 1
t.time_start = int(time.time())
t.updated_at = time.strftime('%Y-%m-%d %X', time.localtime())
try:
db.session.add(t)
db.session.commit()
except Exception as e:
log.error("Set start time failed" + str(e.message))
else:
task_id = None
target_type = self.parse_target(target)
if target_type is False:
log.error("""
Git Repository: must .git end
SVN Repository: can http:// or https://
Directory: must be local directory
File: must be single file or tar.gz/zip/rar compress file
""")
from engine import static
s = static.Static(target, task_id=task_id, project_id=pid)
if target_type is 'directory':
s.analyse()
elif target_type is 'compress':
from utils.decompress import Decompress
# load an compressed file. only tar.gz, rar, zip supported.
dc = Decompress(target)
# decompress it. And there will create a directory named "222_test.tar".
dc.decompress()
s.analyse()
elif target_type is 'file':
s.analyse()
elif target_type is 'git':
from pickup.GitTools import Git
g = Git(target, branch='master')
g.get_repo()
if g.clone() is True:
s.analyse()
else:
log.critical("Git clone failed")
elif target_type is 'svn':
log.warning("Not Support SVN Repository")
def main():
if sys.argv[1] == '1':
gen_chs()
elif sys.argv[1] == '2':
gen_cht()
elif sys.argv[1] == '3':
gen_chs_force()
else:
log.warning('unknown args')
sys.exit(-2)
async def parse(self, url):
host = detect_host(url)
handler = getattr(self, 'parse_' + host, None)
if not handler:
log.warning('Unsupported URL ({}): {}', host, url)
return
async with aiohttp.ClientSession() as session:
async with session.get(url) as page:
document = html.fromstring(await page.read())
return handler(document)
def main():
if sys.argv[1] == '1':
gen_chs()
elif sys.argv[1] == '2':
gen_cht()
elif sys.argv[1] == '3':
gen_chs_force()
else:
log.warning('unknown args')
sys.exit(-2)
def rep_mention(self, rep_mention):
check_type(rep_mention, Mention)
if self._rep_mention is not None:
if self._rep_mention.has_same_span(rep_mention):
return
else:
log.warning('Overriding existing rep_mention ({})'.format(
self._rep_mention))
self._rep_mention.rep = False
self._rep_mention = rep_mention
def get_parent(self, token_idx, msg_prefix=''):
parent = self.lookup('mod', token_idx, include_extra=False)
if len(parent) == 0:
return 'root', -1
if len(parent) > 1 or len(parent.items()[0][1]) > 1:
log.warning(
'{}: In sentence #{}, token #{} has more than 1 non-extra '
'head token: {}'.format(msg_prefix, self._sent_idx, token_idx,
parent))
return parent.items()[0][0], parent.items()[0][1][0]
def main():
lang = 'en'
# getopt
try:
opts, args = getopt.getopt(sys.argv[1:], 'l:')
except getopt.GetoptError as e:
log.error(e)
sys.exit(2)
for o, a in opts:
if o == '-l':
lang = a
cd = sys.path[0]
translation_path = os.path.join(cd, '../translation/lang')
dest_path = translation_path
# load translation
lines_grouped_by_id = {} # ID 作为 key， 每个 key 对应一个 list，每个 list 中的成员是原文件中的一行
translate_file = os.path.join(translation_path, '%s.lang.csv' % lang)
with open(translate_file, 'rt', encoding='utf-8') as fp:
fp.readline()
lines = fp.readlines()
# split
for line in lines:
_id = line.split(',', 1)[0]
_id = _id[1:-1] # remove "
if _id not in lines_grouped_by_id.keys():
lines_grouped_by_id[_id] = []
lines_grouped_by_id[_id].append(line)
for _id, lines_with_same_id in sorted(lines_grouped_by_id.items()):
target_file = os.path.join(dest_path, '%s.%s.lang.csv' % (lang, _id))
log.debug('split to file %s' % target_file)
with open(target_file, 'wt', encoding='utf-8') as fp:
fp.writelines(lines_with_same_id)
# known id
known_id = set()
for values in (file_id_of_pair.values(), file_id_of_list.values(), file_id_of_array.values()):
for id_tuple in values:
for _id in id_tuple:
known_id.add(_id)
known_id = known_id | ignored_file_id
# file list
target_file = os.path.join(dest_path, '%s.lang.split.txt' % lang)
with open(target_file, 'wt', encoding='utf-8') as fp:
id_list = sorted([int(_id) for _id in lines_grouped_by_id.keys()])
for _id in id_list:
fp.write('%d\n' % _id)
if str(_id) not in known_id:
log.warning('warning: unknown id %d.' % _id)
def map_keys(self, f, merge, warn=False):
y = {}
for k, v in self.items.items():
z = f(k)
if z in y:
if (warn):
warning("Duplicate key: {}".format(z))
y[z] = merge(y[z], v) # merge these 2 values
else:
y[z] = v
return DictionaryCollection(self, y)
def get_face(self,
filename,
landmarks=None,
size=(cfg.CROP_SIZE, cfg.CROP_SIZE),
use_cache=True,
from_sequence=False):
# landmarks = np.zeros((68, 2), dtype=np.float32)
# pose = np.zeros(3, dtype=np.float32)
crop_filepath = os.path.join(self.cropped_img_dir, filename + '.jpg')
if use_cache and os.path.isfile(crop_filepath):
try:
crop = io.imread(crop_filepath)
except OSError:
os.remove(crop_filepath)
return self.get_face(filename, landmarks, size, use_cache,
from_sequence)
if crop.shape[:2] != size:
crop = cv2.resize(crop, size, interpolation=cv2.INTER_CUBIC)
if landmarks is None:
of_conf, landmarks, _ = ds_utils.read_openface_detection(
os.path.join(self.feature_dir, filename),
numpy_lmFilepath=os.path.join(self.npfeature_dir,
filename))
landmarks = face_processing.scale_landmarks_to_crop(
landmarks, output_size=size)
else:
# Load image from dataset
img_path = os.path.join(self.fullsize_img_dir, filename + '.jpg')
img = io.imread(img_path)
if img is None:
raise IOError(
"\tError: Could not load image {}!".format(img_path))
# load landmarks extracted with OpenFace2
if landmarks is None:
of_conf, landmarks, _ = ds_utils.read_openface_detection(
os.path.join(self.feature_dir, filename),
numpy_lmFilepath=os.path.join(self.npfeature_dir,
filename),
from_sequence=from_sequence)
if of_conf <= 0.0:
log.warning("No landmarks for image {}".format(filename))
# crop, landmarks = face_processing.crop_bump(img, landmarks, output_size=size)
crop, landmarks = face_processing.crop_celebHQ(img,
landmarks,
output_size=size)
if use_cache:
utils.io.makedirs(crop_filepath)
io.imsave(crop_filepath, crop)
return crop, landmarks
def run(self,
num_factors,
urm_train=None,
urm=None,
urm_test=None,
targetids=None,
with_scores=False,
export=True,
verbose=True):
"""
Run the model and export the results to a file
Parameters
----------
num_factors : int, number of latent factors
urm : csr matrix, URM. If None, used: data.get_urm_train(). This should be the
entire URM for which the targetids corresponds to the row indexes.
urm_test : csr matrix, urm where to test the model. If None, use: data.get_urm_test()
targetids : list, target user ids. If None, use: data.get_target_playlists()
Returns
-------
recs: (list) recommendations
map10: (float) MAP10 for the provided recommendations
"""
_urm = data.get_urm_train()
_icm = data.get_icm()
_urm_test = data.get_urm_test()
_targetids = data.get_target_playlists()
#_targetids = data.get_all_playlists()
start = time.time()
urm_train = _urm if urm_train is None else urm_train
#urm = _urm if urm is None else urm
urm_test = _urm_test if urm_test is None else urm_test
targetids = _targetids if targetids is None else targetids
self.fit(urm_train=urm_train, num_factors=num_factors)
recs = self.recommend_batch(userids=targetids)
map10 = None
if len(recs) > 0:
map10 = self.evaluate(recs, test_urm=urm_test, verbose=verbose)
else:
log.warning('No recommendations available, skip evaluation')
if export:
exportcsv(recs, path='submission', name=self.name, verbose=verbose)
if verbose:
log.info('Run in: {:.2f}s'.format(time.time() - start))
return recs, map10
def stop_server(_=None):
try:
with open('/tmp/infnote_chain.pid', 'r') as file:
pid = int(file.readline())
os.kill(pid, signal.SIGTERM)
log.info(f'Killed server by PID {pid}')
except FileNotFoundError:
log.warning(
'PID file is not exist. Process may not startup correctly.')
except ProcessLookupError:
log.warning(f'No such process PID {pid}.')
def do_verify(self, trans_receipt, timeout=10):
url = INAPP_PURCHASE_VERIFY_URL
resp = self._send_verify(url, trans_receipt, timeout)
if 21007 == resp.get("status"):
# player use an sendbox account
log_data = {"player_id": self.player_id,
"resp": resp,
"receipt": trans_receipt}
log.warning("IAP - Player use an sendbox account: %s"
% str(log_data))
resp = self._send_verify(INAPP_PURCHASE_SANDBOX_VERIFY_URL,
trans_receipt, timeout)
return resp
def get_with_retry(self, key):
"""
Like GConnect.get() but retries on temporary errors.
"""
while True:
try:
val = self.get(key)
return val
except TemporaryFailError, e:
log.warning("TemporaryFailError: can't get key '%s' - "
"retry in 2 secs...", key)
time.sleep(2)
continue
def _uncompact_nodes2(c_nodes):
nodes = []
for c_node in c_nodes:
node_id = Id(c_node[:ID_SIZE_BYTES])
try:
node_addr = uncompact_addr(c_node[ID_SIZE_BYTES:])
except (AddrError):
log.warning('IPv6 addr in nodes2: %s' % c_node)
except (AddrError):
pass
else:
node = Node(node_addr, node_id)
nodes.append(node)
return nodes
def test_block_flood(self):
from floodbarrier import MAX_PACKETS_PER_PERIOD as FLOOD_LIMIT
for _ in xrange(FLOOD_LIMIT):
self.client_r.sendto(DATA, tc.SERVER_ADDR)
for _ in xrange(10):
self.client_r.sendto(DATA, tc.SERVER_ADDR)
log.warning(
"TESTING LOGS ** IGNORE EXPECTED WARNING **")
time.sleep(tc.TASK_INTERVAL)
with self.lock:
log.debug('datagram processed: %d/%d' % (
len(self.datagrams_received),
FLOOD_LIMIT))
assert len(self.datagrams_received) <= FLOOD_LIMIT
def test_fire_callback_on_late_response(self):
self.query.timeout_task.fire_callbacks()
self.query.timeout_task.cancel()
# the server creates the response
pong_msg = message.OutgoingPingResponse(tc.SERVER_ID)
pong_data = pong_msg.encode(tc.TID)
# rpc_m decodes the response received
pong_msg = message.IncomingMsg(pong_data)
# querier notifies of the message (but it's too late)
self.query.on_response_received(pong_msg)
log.warning(
"**IGNORE WARNING LOG**")
assert not self.got_response and not self.got_error \
and self.got_timeout
def apply_one_translate(self, name, origin, translation, need_check=True):
"""应用一条翻译
先检查原文是否一致。不检查更新。
Args:
name (str): 名字， SI_ 开头
origin (str): 原文
translation (str): 译文
need_check (bool): 是否检查
"""
if name in self.ui_lines.keys() and origin == self.ui_lines[name].origin:
if need_check and not check_string_with_origin(translation, origin):
log.warning('check string failed: %s', name)
self.ui_lines[name].set_translation(translation)
def config_pytorch(options):
"""Config pytorch packages.
Fix random number for packages and initialize distributed environment for pytorch.
Setup cuda environment for pytorch.
:param options: A global object containing specified options.
:type options: argparse.Namespace
"""
# Setting `cudnn.deterministic = True` will turn on
# CUDNN deterministic setting which can slow down training considerably.
# Unexpected behavior may also be observed from checkpoint.
# See: https: // github.com/pytorch/examples/blob/master/imagenet/main.py
if options.cudnn_deterministic:
cudnn.deterministic = True
log.warning('You have chosen to seed training. '
'This will turn on the CUDNN deterministic setting, '
'which can slow down your training considerably! '
'You may see unexpected behavior when restarting '
'from checkpoints.', 0)
if options.seed is not None:
random.seed(options.seed)
torch.manual_seed(options.seed)
# define the graph for the computation.
if options.use_cuda:
assert torch.cuda.is_available()
options.rank = dist.get_rank()
options.world_size = dist.get_world_size()
options.graph = FCGraph(options)
# enable cudnn accelerator if we are using cuda.
if options.use_cuda:
options.graph.assigned_gpu_id()
torch.backends.cudnn.enabled = True
torch.backends.cudnn.benchmark = True
if torch.backends.cudnn.version() is None:
log.warning("CUDNN not found on device.")
log.info("World size={}, Rank={}, hostname={}, cuda_available={}, cuda_device={}".format(
options.world_size, options.rank, socket.gethostname(), torch.cuda.is_available(),
torch.cuda.current_device()))
def on_response_received(self, response_msg):
try:
response_msg.sanitize_response(self.query)
except (message.MsgError):
log.exception(
"We don't like dirty reponses: %r|nresponse ignored"
% response_msg)
return # Response ignored
self.node.is_ns = response_msg.ns_node
if self.node.id:
if response_msg.sender_id != self.node.id:
return # Ignore response
else:
self.node.id = response_msg.sender_id
#TODO2: think whether late responses should be accepted
if self.timeout_task.cancelled:
log.warning(
"Response recevived but it's too late!!\n%r, %r" %
(response_msg,
self.timeout_task))
return # Ignore response
self.timeout_task.cancel()
nodes = []
try:
nodes.extend(response_msg.nodes)
except (AttributeError):
pass
try:
nodes.extend(response_msg.nodes2)
except (AttributeError):
pass
# Notify routing manager (if nodes found).
# Do not notify when the query was a GET_PEERS because
# the lookup is in progress and the routing_m shouldn't
# generate extra traffic.
if self.query == message.FIND_NODE and \
nodes and self.notify_routing_m_on_nodes_found_f:
self.notify_routing_m_on_nodes_found_f(nodes)
# Notify routing manager (response)
self.node.is_ns = response_msg.ns_node
if self.notify_routing_m_on_response_f:
self.notify_routing_m_on_response_f(self.node)
# Do callback to whomever did the query
self.on_response_f(response_msg, self.node)
return True # the response was fine
def load_from_pair_category(data, lang, need_check=True):
"""解析从 <name, desc> 模式的 xlsx 中读取的翻译
Args:
data: 从 xlsx 读出的数据，data[i][j] 表示第 i 行第 j 列的数据
lang (str): "zh"/"en", 读中文还是英文
need_check (bool): 是否检查
Returns:
category (str): category from lang_def
translated_data (list[str]): list of [file_id, unknown, index, text]
"""
# check
if need_check:
for row in data:
if (row[4] != '' and not check_string_with_origin(row[3], row[4])) \
or (row[7] != '' and not check_string_with_origin(row[6], row[7])):
log.warning('check string failed: %s', str(row[1]))
# 删除多余数据，只保留 内部编号, 英文/中文名称, 英文/中文描述
if lang == 'en':
data = [(row[1], row[3], row[6]) for row in data]
else:
data = [(row[1], row[4], row[7]) for row in data]
category = data[0][0].rsplit('-', 1)[0]
name_file_id, desc_file_id = file_id_of_pair[category]
# 恢复编号
translated_data = []
for intern_id, name, desc in data:
if intern_id == '':
continue # 空行
index = intern_id.rsplit('-', 1)[-1]
index = str(int(index)) # 消除前导0
# 这里直接令 unknown 为 0，对此类数据，暂时没有发现例外
unknown = '0'
if name != '':
translated_data.append([name_file_id, unknown, index, name])
if desc != '':
translated_data.append([desc_file_id, unknown, index, desc])
return category, translated_data
def init_cb():
global cb
bucket = settings.COUCHBASE_BUCKET
host = settings.COUCHBASE_HOST
log.debug("connecting to bucket '%s' on host '%s'", bucket, host)
if bucket and host:
while True:
try:
cb = GConnectionExtention(bucket=bucket, host=host, quiet=True)
log.debug("connected")
break
except NetworkError, e:
log.warning("NetworkError: can't connect to host '%s' - "
"retry in 5 secs...", host)
except BucketNotFoundError, e:
log.warning("BucketNotFoundError: can't find bucket '%s' "
"on host '%s' - retry in 5 secs...", bucket, host)
time.sleep(5)
continue
def test_listen_upd(self):
r = ThreadedReactor()
r.start()
log.warning(''.join(
('TESTING LOGS ** IGNORE EXPECTED WARNING ** ',
'(udp_listen has not been called)')))
self.client_r.sendto(DATA, tc.SERVER_ADDR)
while 1: #waiting for data
with self.lock:
if self.datagrams_received:
break
time.sleep(tc.TASK_INTERVAL)
with self.lock:
first_datagram = self.datagrams_received.pop(0)
log.debug('first_datagram: %s, %s' % (
first_datagram,
(DATA, tc.CLIENT_ADDR)))
assert first_datagram, (DATA, tc.CLIENT_ADDR)
r.stop()
def run(self):
"""Main loop activated by calling self.start()"""
last_task_run = time.time()
stop_flag = self.stop_flag
while not stop_flag:
timeout_raised = False
try:
data, addr = self.s.recvfrom(BUFFER_SIZE)
except (AttributeError):
log.warning('udp_listen has not been called')
time.sleep(self.task_interval)
#TODO2: try using Event and wait
timeout_raised = True
except (socket.timeout):
timeout_raised = True
except (socket.error), e:
log.critical(
'Got socket.error when receiving (more info follows)')
log.exception('See critical log above')
else:
ip_is_blocked = self.floodbarrier_active and \
self.floodbarrier.ip_blocked(addr[0])
if ip_is_blocked:
log.warning('%s blocked' % `addr`)
else:
self.datagram_received_f(data, addr)
if timeout_raised or \
time.time() - last_task_run > self.task_interval:
#with self._lock:
self._lock.acquire()
try:
while True:
task = self.tasks.consume_task()
if task is None:
break
task.fire_callbacks()
stop_flag = self.stop_flag
finally:
self._lock.release()
def on_response_received(self, response_msg, addr):
# TYPE and TID already sanitized by rpc_manager
log.debug('response received: %s' % repr(response_msg))
try:
addr_query_list = self.pending[addr]
except (KeyError):
log.warning('No pending queries for %s', addr)
return # Ignore response
# There are pending queries from node (let's find the right one (TID)
query_found = False
for query_index, query in enumerate(addr_query_list):
log.debug('response node: %s, query:\n(%s, %s)' % (
`addr`,
`query.tid`,
`query.query`))
if query.matching_tid(response_msg.tid):
query_found = True
break
if not query_found:
log.warning('No query for this response\n%s\nsource: %s' % (
response_msg, addr))
return # ignore response
# This response matches query. Trigger query's callback
response_is_ok = query.on_response_received(response_msg)
if response_is_ok:
# Remove this query from pending
if len(addr_query_list) == 1:
# There is one item in the list. Remove the whole list.
del self.pending[addr]
else:
del addr_query_list[query_index]
else:
log.warning('Bad response from %r\n%r' % (addr,
response_msg))
def get_csv_from_xls(translation_path, lang):
"""从文件夹中读取所有翻译文件
Args:
translation_path (str): 存放翻译 xlsx 文件的路径或文件
lang (str): "zh"/"en", 读中文还是英文
Returns:
csv_list (dict[str: list]): dict<str, list>, 根据 category 归类的翻译
ui_xls_file: UI翻译文件，如果找到了
"""
file_list = []
if os.path.isfile(translation_path):
file_list.append((translation_path, translation_path))
else:
for dir_path, dir_names, file_names in os.walk(translation_path):
for file_name in file_names:
if file_name.lower().endswith('.xlsx') and not file_name.startswith('~') \
and (file_name.startswith('en.') or lang == 'zh'):
file_path = os.path.join(dir_path, file_name)
file_list.append((file_name, file_path))
category_to_translated = {}
ui_xls_file = None
for file_name, file_path in file_list:
# load from one file
log.info('load from %s' % file_name)
category, translated_data = load_from_langxls(file_path, lang, need_check=False, load_ui=True)
log.info('load %d %ss' % (len(translated_data), category))
if category in category_to_translated:
log.warning('warning: override category %s' % category)
category_to_translated[category] = translated_data
if category == 'UI':
ui_xls_file = file_path
list_list = [line for _, translated_data in sorted(category_to_translated.items())
for line in translated_data]
csv_list = ['"%s","%s","%s","0","%s"\n' % (line[0], line[1], line[2], line[3])
for line in list_list]
return csv_list, ui_xls_file
def load_from_ui_fake(data, lang, need_check=True):
"""解析从UI模式的 xlsx 中读取的翻译
Args:
data: 从 xlsx 读出的数据，data[i][j] 表示第 i 行第 j 列的数据
lang (str): "zh"/"en", 读中文还是英文
need_check (bool): 是否检查
Returns:
category (str): "UI"
translated_data (list[str]): list of [file_id, unknown, index, text]
"""
# check
if need_check:
for row in data:
if (row[2] != '' and not check_string_with_origin(row[3], row[4])) \
or (row[3] != '' and not check_string_with_origin(row[6], row[7])):
log.warning('check string failed: %s', str(row[1]))
# 删除多余数据，只保留 名称, 原文/译文
if lang == 'en':
data = [(row[1], row[2]) for row in data]
else:
data = [(row[1], row[3]) for row in data]
category = 'UI'
# 恢复编号
translated_data = []
for intern_id, text in data:
if intern_id == '':
continue # 空行
# file_id=='UI', unknown=='0', index==intern_id
index = intern_id
unknown = '0'
translated_data.append([category, unknown, index, text])
return category, translated_data
def test_tools(self):
bin_strs = ["23", "\1\5", "a\3"]
for bs in bin_strs:
i = bin_to_int(bs)
bs2 = int_to_bin(i)
log.debug("bs: %s, bin_to_int(bs): %d, bs2: %s" % (bs, i, bs2))
assert bs == bs2
ips = ["127.0.0.1", "222.222.222.222", "1.2.3.4"]
ports = [12345, 99, 54321]
for addr in zip(ips, ports):
c_addr = compact_addr(addr)
addr2 = uncompact_addr(c_addr)
assert addr == addr2
c_peers = message._compact_peers(tc.PEERS)
peers = message._uncompact_peers(c_peers)
for p1, p2 in zip(tc.PEERS, peers):
assert p1[0] == p2[0]
assert p1[0] == p2[0]
c_nodes = message._compact_nodes(tc.NODES)
nodes = message._uncompact_nodes(c_nodes)
for n1, n2 in zip(tc.NODES, nodes):
assert n1 == n2
bin_ipv6s = ["\x00" * 10 + "\xff\xff" + "\1\2\3\4", "\x22" * 16]
assert bin_to_ip(bin_ipv6s[0]) == "1.2.3.4"
assert_raises(AddrError, bin_to_ip, bin_ipv6s[1])
PORT = 7777
BIN_PORT = int_to_bin(PORT)
c_nodes2 = [tc.CLIENT_ID.bin_id + ip + BIN_PORT for ip in bin_ipv6s]
nodes2 = [node.Node(("1.2.3.4", PORT), tc.CLIENT_ID)]
log.debug(message._uncompact_nodes2(c_nodes2))
assert message._uncompact_nodes2(c_nodes2) == nodes2
log.warning("**IGNORE WARNING LOG** This exception was raised by a test")
def sanitize_response(self, query):
self._sanitize_common()
# sender_id
self.sender_id = self._get_id(RESPONSE, ID)
if query in [FIND_NODE, GET_PEERS]:
# nodes
nodes_found = False
c_nodes = self._get_str(RESPONSE, NODES, optional=True)
if c_nodes:
self.nodes = _uncompact_nodes(c_nodes)
nodes_found = True
# nodes2
try:
self.nodes2 = _uncompact_nodes2(
self._msg_dict[RESPONSE][NODES2])
if nodes_found:
log.info('Both nodes and nodes2 found')
nodes_found = True
except (KeyError):
pass
if query == FIND_NODE:
if not nodes_found:
log.warning('No nodes in find_node response')
raise MsgError, 'No nodes in find_node response'
elif query == GET_PEERS:
# peers
try:
self.peers = _uncompact_peers(
self._msg_dict[RESPONSE][VALUES])
if nodes_found:
log.warning(
'Nodes and peers found in get_peers response')
except (KeyError):
if not nodes_found:
log.warning(
'No nodes or peers found in get_peers response')
raise (MsgError,
'No nodes or peers found in get_peers response')
# token
self.token = self._get_str(RESPONSE, TOKEN)
def check_xls(src_path, column_id, origin_column_id):
"""检查xls
Args:
src_path (str): 待检查的 xlsx 文件的路径
column_id (int): 翻译后的列的 id
origin_column_id (int): 原文的列的 id
"""
data = load_xls(src_path)
for line in data:
text_is_ok = False
try:
text_to_check = line[column_id]
# skip empty line
if text_to_check == '':
continue
text_is_ok = check_string(text_to_check)
if origin_column_id is not None:
text_is_ok &= check_string_with_origin(line[column_id], line[origin_column_id])
except Exception as e:
log.warning(line)
log.warning(e)
if not text_is_ok:
log.warning('Failed when checking:\n%s\n' % ', '.join(line))
def analyse(self):
if self.directory is None:
log.critical("Please set directory")
sys.exit()
log.info('Start code static analyse...')
d = directory.Directory(self.directory)
files = d.collect_files(self.task_id)
log.info('Scan Files: {0}, Total Time: {1}s'.format(files['file_nums'], files['collect_time']))
ext_language = {
# Image
'.jpg': 'image',
'.png': 'image',
'.bmp': 'image',
'.gif': 'image',
'.ico': 'image',
'.cur': 'image',
# Font
'.eot': 'font',
'.otf': 'font',
'.svg': 'font',
'.ttf': 'font',
'.woff': 'font',
# CSS
'.css': 'css',
'.less': 'css',
'.scss': 'css',
'.styl': 'css',
# Media
'.mp3': 'media',
'.swf': 'media',
# Execute
'.exe': 'execute',
'.sh': 'execute',
'.dll': 'execute',
'.so': 'execute',
'.bat': 'execute',
'.pl': 'execute',
# Edit
'.swp': 'tmp',
# Cert
'.crt': 'cert',
# Text
'.txt': 'text',
'.csv': 'text',
'.md': 'markdown',
# Backup
'.zip': 'backup',
'.bak': 'backup',
'.tar': 'backup',
'.rar': 'backup',
'.tar.gz': 'backup',
'.db': 'backup',
# Config
'.xml': 'config',
'.yml': 'config',
'.spf': 'config',
'.iml': 'config',
'.manifest': 'config',
# Source
'.psd': 'source',
'.as': 'source',
# Log
'.log': 'log',
# Template
'.template': 'template',
'.tpl': 'template',
}
for ext in files:
if ext in ext_language:
log.info('{0} - {1}'.format(ext, files[ext]))
continue
else:
log.info(ext)
languages = CobraLanguages.query.all()
rules = CobraRules.query.filter_by(status=1).all()
extensions = None
# `grep` (`ggrep` on Mac)
grep = '/bin/grep'
# `find` (`gfind` on Mac)
find = '/bin/find'
if 'darwin' == sys.platform:
ggrep = ''
gfind = ''
for root, dir_names, file_names in os.walk('/usr/local/Cellar/grep'):
for filename in file_names:
if 'ggrep' == filename:
ggrep = os.path.join(root, filename)
for root, dir_names, file_names in os.walk('/usr/local/Cellar/findutils'):
for filename in file_names:
if 'gfind' == filename:
gfind = os.path.join(root, filename)
if ggrep == '':
log.critical("brew install ggrep pleases!")
sys.exit(0)
else:
grep = ggrep
if gfind == '':
log.critical("brew install findutils pleases!")
sys.exit(0)
else:
find = gfind
for rule in rules:
log.info('Scan rule id: {0} {1} {2}'.format(self.project_id, rule.id, rule.description))
# Filters
for language in languages:
if language.id == rule.language:
extensions = language.extensions.split('|')
if extensions is None:
log.critical("Rule Language Error")
sys.exit(0)
# White list
white_list = []
ws = CobraWhiteList.query.filter_by(project_id=self.project_id, rule_id=rule.id, status=1).all()
if ws is not None:
for w in ws:
white_list.append(w.path)
try:
if rule.regex.strip() == "":
filters = []
for index, e in enumerate(extensions):
if index > 1:
filters.append('-o')
filters.append('-name')
filters.append('*' + e)
# Find Special Ext Files
param = [find, self.directory, "-type", "f"] + filters
else:
filters = []
for e in extensions:
filters.append('--include=*' + e)
# Explode SVN Dir
filters.append('--exclude-dir=.svn')
filters.append('--exclude-dir=.cvs')
filters.append('--exclude-dir=.hg')
filters.append('--exclude-dir=.git')
filters.append('--exclude-dir=.bzr')
filters.append('--exclude=*.svn-base')
# -n Show Line number / -r Recursive / -P Perl regular expression
param = [grep, "-n", "-r", "-P"] + filters + [rule.regex, self.directory]
# log.info(' '.join(param))
p = subprocess.Popen(param, stdout=subprocess.PIPE)
result = p.communicate()
# Exists result
if len(result[0]):
lines = str(result[0]).split("\n")
for line in lines:
line = line.strip()
if line == '':
continue
if rule.regex.strip() == '':
# Find
file_path = line.strip().replace(self.directory, '')
log.debug('File: {0}'.format(file_path))
vul = CobraResults(self.task_id, rule.id, file_path, 0, '')
db.session.add(vul)
else:
# Grep
line_split = line.replace(self.directory, '').split(':', 1)
file_path = line_split[0].strip()
code_content = line_split[1].split(':', 1)[1].strip()
line_number = line_split[1].split(':', 1)[0].strip()
if file_path in white_list or ".min.js" in file_path:
log.info("In white list or min.js")
else:
# Annotation
# # // /* *
match_result = re.match("(#)?(//)?(\*)?(/\*)?", code_content)
if match_result.group(0) is not None and match_result.group(0) is not "":
log.info("In Annotation")
else:
log.info('In Insert')
exist_result = CobraResults.query.filter_by(task_id=self.task_id, rule_id=rule.id, file=file_path, line=line_number).first()
if exist_result is not None:
log.warning("Exists Result")
else:
log.debug('File: {0}:{1} {2}'.format(file_path, line_number, code_content))
vul = CobraResults(self.task_id, rule.id, file_path, line_number, code_content)
db.session.add(vul)
log.info('Insert Results Success')
db.session.commit()
else:
log.info('Not Found')
except Exception as e:
log.critical('Error calling grep: ' + str(e))
# Set End Time For Task
t = CobraTaskInfo.query.filter_by(id=self.task_id).first()
t.status = 2
t.file_count = files['file_nums']
t.time_end = int(time.time())
t.time_consume = t.time_end - t.time_start
t.updated_at = time.strftime('%Y-%m-%d %X', time.localtime())
try:
db.session.add(t)
db.session.commit()
except Exception as e:
log.critical("Set start time failed:" + e.message)
log.info("Scan Done")
def hook(): log.warning("reloading code")
server_reloader.main(run_server, before_reload=hook)
def uncompact_addr(c_addr):
if c_addr[-2:] == '\0\0':
log.warning('c_addr: %r > port is ZERO' % c_addr)
raise AddrError
return (bin_to_ip(c_addr[:-2]), bin_to_int(c_addr[-2:]))