def loadConfig(self):
""" Loads plugin config
Uses json to store config because i dont like yml
"""
#default config
self.pluginCfg = {"localChat":True, "msgRadius":150, "msgDelay":60,
"msgCost":100,
"noEcoMsg":u"&4[RCchat] Eco doesnt work.Install Vault.",
"noMoneyMsg":u"&9[RCchat]&f Not enough money. You need %s $",
"noEnoughTime":u"&9[RCchat]&f You write to global chat too fast. Please wait %s sec. or write '*message' to use chargeable message for global chat",
"globalPrefix":"&9[G]&f",
"localPrefix":"&9[L]&f",
"permissionsGroups":{"prem":30, "vip":40}
}
name = self.description.getName()
if path.exists("plugins/" + name) and path.isdir("plugins/" + name):
if path.exists("plugins/" + name + "/config.json"):
f = ioopen("plugins/" + name + "/config.json", "r", encoding="utf-8")
self.pluginCfg = json.load(f)
f.close()
else:
f = ioopen("plugins/" + name + "/config.json", "w", encoding="utf-8")
f.write(unicode(json.dumps(self.pluginCfg, indent=4, ensure_ascii=False)))
f.close()
else:
os.mkdir("plugins/" + name)
f = ioopen("plugins/" + name + "/config.json", "w", encoding="utf-8")
f.write(unicode(json.dumps(self.pluginCfg, indent=4, ensure_ascii=False)))
f.close()
def loadConfig(self):
""" Loads plugin config
Uses json to store config because i dont like yml
"""
#default config
self.pluginCfg = {
"localChat": True,
"msgRadius": 150,
"msgDelay": 60,
"msgCost": 100,
"noEcoMsg": u"&4[RCchat] Eco doesnt work.Install Vault.",
"noMoneyMsg": u"&9[RCchat]&f Not enough money. You need %s $",
"noEnoughTime":
u"&9[RCchat]&f You write to global chat too fast. Please wait %s sec. or write '*message' to use chargeable message for global chat",
"globalPrefix": "&9[G]&f",
"localPrefix": "&9[L]&f",
"permissionsGroups": {
"prem": 30,
"vip": 40
}
}
name = self.description.getName()
if path.exists("plugins/" + name) and path.isdir("plugins/" + name):
if path.exists("plugins/" + name + "/config.json"):
f = ioopen("plugins/" + name + "/config.json",
"r",
encoding="utf-8")
self.pluginCfg = json.load(f)
f.close()
else:
f = ioopen("plugins/" + name + "/config.json",
"w",
encoding="utf-8")
f.write(
unicode(
json.dumps(self.pluginCfg,
indent=4,
ensure_ascii=False)))
f.close()
else:
os.mkdir("plugins/" + name)
f = ioopen("plugins/" + name + "/config.json",
"w",
encoding="utf-8")
f.write(
unicode(
json.dumps(self.pluginCfg, indent=4, ensure_ascii=False)))
f.close()
def from_file(self, filename):
""" Reads in a prior from a file specification
Parameters
----------
filename: str
Name of the file to be read in
Notes
-----
Lines beginning with '#' or empty lines will be ignored.
Priors can be loaded from:
bilby.core.prior as, e.g., foo = Uniform(minimum=0, maximum=1)
floats, e.g., foo = 1
bilby.gw.prior as, e.g., foo = bilby.gw.prior.AlignedSpin()
other external modules, e.g., foo = my.module.CustomPrior(...)
"""
comments = ['#', '\n']
prior = dict()
with ioopen(filename, 'r', encoding='unicode_escape') as f:
for line in f:
if line[0] in comments:
continue
line.replace(' ', '')
elements = line.split('=')
key = elements[0].replace(' ', '')
val = '='.join(elements[1:]).strip()
prior[key] = val
self.from_dictionary(prior)
def header_parser(input_log_file):
"""
The function parsing the header of csv file and
return the dictionary of field as key and index of field as value
:type input_log_file: string
:rtype fields: dictionary
"""
fields = {}
with ioopen(input_log_file, encoding='utf-8') as csvfile:
line_1 = csvfile.readline()
field_index = line_1.split(',')
for i in field_index:
if 'ip' in i:
fields[ip_index] = field_index.index(i)
if 'date' in i:
fields[date_index] = field_index.index(i)
if 'time' in i:
fields[time_index] = field_index.index(i)
if 'cik' in i:
fields[cik_index] = field_index.index(i)
if 'accession' in i:
fields[accession_index] = field_index.index(i)
if 'extention' in i:
fields[extention_index] = field_index.index(i)
return fields
def _parse(cfg_file, cfg_section, c2ctemplate_style=False):
"""
Parses the defined YAML file and returns the defined section as dictionary.
Args:
cfg_file (str): The YAML file to be parsed.
cfg_section (str): The section to be returned.
Returns:
dict: The parsed section as dictionary.
"""
if cfg_file is None:
raise ConfigurationError(
'Missing configuration parameter "pyramid_oereb.cfg.file" or '
'"pyramid_oereb.cfg.c2ctemplate.file".'
)
if cfg_section is None:
raise ConfigurationError('Missing configuration parameter "pyramid_oereb.cfg.section".')
try:
if c2ctemplate_style:
import c2c.template
content = c2c.template.get_config(cfg_file)
else:
with ioopen(cfg_file, encoding='utf-8') as f:
content = yaml.safe_load(f.read())
except IOError as e:
e.strerror = '{0}{1} \'{2}\', Current working directory is {3}'.format(
e.strerror, e.args[1], e.filename, os.getcwd())
raise
cfg = content.get(cfg_section)
if cfg is None:
raise ConfigurationError('YAML file contains no section "{0}"'.format(cfg_section))
return cfg
def renderJSON(script_path, time_file_path):
# 使用io.open打开命令文件
with ioopen(script_path, encoding='utf-8', errors='replace', newline='\r\n') as scriptf:
# 打开时间记录文件
with open(time_file_path) as timef:
timing = getTiming(timef)
ret = {}
with closing(scriptf):
scriptf.readline() # ignore first header line from script file
offset = 0
for t in timing:
dt = scriptf.read(t[1])
offset += t[0]
ret[str(offset / float(1000))] = dt.decode('utf-8', 'replace')
return dumps(ret)
def find_headers_and_url_save(self):
ret = False
try:
x = self.find_headers_and_url()
if len(x) > 0:
with ioopen(self.file_out, "w",
encoding="utf-8") as output_file:
output_file.write(
unicode(dumps(x, ensure_ascii=False, indent=4)))
#with open(self.file_out, "w", encoding="utf-8") as output_file:
# dump(x, output_file, ensure_ascii=False, indent=4)
log_string(self.uuid, "Extracted headers and URLs",
"Green")
ret = True
except Exception as e:
log_string(self.uuid,
"find_headers_and_url_save Failed {}".format(e), "Red")
return ret
def get_log_json(self):
"""
返回日志内容，用于回放使用
"""
# 使用io.open打开命令文件
with ioopen(self.log_file_path + '.log', encoding='utf-8', errors='replace', newline='\r\n') as scriptf:
# 打开时间记录文件
with open(self.log_file_path + '.time') as timef:
timing = self._getTiming(timef)
ret = {}
with closing(scriptf):
offset = 0
for t in timing:
dt = scriptf.read(t[1])
offset += t[0]
ret[str(offset / float(1000))] = dt.decode('utf-8', 'replace')
return json.dumps(ret)
def parse_file(self, uuid, box):
ret = False
good = False
try:
self.uuid = uuid
self.file_in = path.join(box["output"], self.uuid,
box["chrome_ouput"])
self.file_out = path.join(box["output"], self.uuid,
box["chrome_ouput_parsed"])
with ioopen(self.file_in, encoding="utf-8") as data_file:
_buffer = data_file.read()
try:
log_string(uuid, "Parsing logs without trimming", "Green")
self.data = loads(_buffer)
good = True
except:
log_string(uuid, "Parsing logs without trimming failed",
"Red")
try:
if not good:
log_string(uuid, "Parsing logs with trimming", "Green")
self.data = loads(_buffer[:-2] + "]}")
good = True
except:
log_string(uuid, "Parsing logs with trimming failed",
"Red")
if good:
self.log_event_types = self.data["constants"][
"logEventTypes"]
self.reversed_log_event_types = dict(
map(reversed, self.log_event_types.items()))
self.log_source_types = self.data["constants"][
"logSourceType"]
self.reversed_log_source_types = dict(
map(reversed, self.log_source_types.items()))
log_string(uuid, "Log file has been parsed", "Green")
ret = True
except Exception as e:
log_string(uuid, "parse_file Failed {}".format(e), "Red")
return ret
def get_log_json(self):
"""
返回日志内容，用于回放使用
"""
# 使用io.open打开命令文件
with ioopen(self.log_file_path + '.log',
encoding='utf-8',
errors='replace',
newline='\r\n') as scriptf:
# 打开时间记录文件
with open(self.log_file_path + '.time') as timef:
timing = self._getTiming(timef)
ret = {}
with closing(scriptf):
offset = 0
for t in timing:
dt = scriptf.read(t[1])
offset += t[0]
ret[str(offset / float(1000))] = dt.decode(
'utf-8', 'replace')
return json.dumps(ret)
def run_analysis():
#take the sys arguments as the input and output file path and names
input_dir = sys.argv[1]
output_top_10_occupations_file = sys.argv[2]
output_top_10_states_file = sys.argv[3]
#find the file in input directory and pass to the input_file
file_list = os.listdir(input_dir)
input_file = input_dir + file_list[0]
#create the variables of map data structures holding the key of occupations and working_states
# and values of counts respectfully
Certified_Total = 0.0
occupations = {}
working_states = {}
# read the csvfile line by line and parsing each line of data into
# fields, then put the SOC(occupation names) and working states fields
# into occupations and working_states map
with ioopen(input_file, encoding='utf-8') as csvfile:
lines = csvfile.readlines()
field_index = lines[0].split(';')
for i in field_index:
if 'STATUS' in i:
status_index = field_index.index(i)
print(status_index)
if 'SOC_NAME' in i:
SOC_index = field_index.index(i)
print(SOC_index)
if 'WORKLOC1_STATE' in i or 'WORKSITE_STATE' in i:
states_index = field_index.index(i)
print(states_index)
rest_lines = lines[1:]
for line in rest_lines:
row = line.split(";")
status = row[status_index].replace('"', '')
occupation = row[SOC_index].replace('"', '')
state = row[states_index].replace('"', '')
if status == 'CERTIFIED':
Certified_Total += 1
if occupation in occupations and state in working_states:
occupations[occupation] += 1
working_states[state] += 1
elif occupation in occupations and state not in working_states:
occupations[occupation] += 1
working_states[state] = 1
elif occupation not in occupations and state in working_states:
occupations[occupation] = 1
working_states[state] += 1
else:
occupations[occupation] = 1
working_states[state] = 1
csvfile.close()
# sort the occupations and working_states by values(total counts of the key)
# and store the sorted result as list of tuples
sorted_Occupations = sorted(sorted(occupations.items(),
key=lambda x: x[0]),
key=lambda x: x[1],
reverse=True)
sorted_States = sorted(sorted(working_states.items(), key=lambda x: x[0]),
key=lambda x: x[1],
reverse=True)
# create the top10 occupations output file and write the top 10 occupations
# from the sorted list results to it
occupations_file = open(output_top_10_occupations_file, "w")
header = 'TOP_OCCUPATIONS;NUMBER_CERTIFIED_APPLICATIONS;PERCENTAGE' + '\n'
occupations_file.write(header)
for i in sorted_Occupations[0:10]:
output_str = str(i[0]) + ';' + str(i[1]) + ';' + str(
round((i[1] / Certified_Total) * 100, 1)) + '%' + '\n'
occupations_file.write(output_str)
print(
str(i[0]) + ';' + str(i[1]) + ';' +
str(round((i[1] / Certified_Total) * 100, 1)) + '%')
occupations_file.close()
# create the top10 states output file and write the top 10 states info
# from the sorted list restults
states_file = open(output_top_10_states_file, "w")
header = 'TOP_STATES;NUMBER_CERTIFIED_APPLICATIONS;PERCENTAGE' + '\n'
states_file.write(header)
for j in sorted_States[0:10]:
output_state = str(j[0]) + ';' + str(j[1]) + ';' + str(
round((j[1] / Certified_Total) * 100, 1)) + '%' + '\n'
states_file.write(output_state)
print(
str(j[0]) + ';' + str(j[1]) + ';' +
str(round((j[1] / Certified_Total) * 100, 1)) + '%')
states_file.close()
def session_producer(input_log_file, input_inactivity_file, output_file_uri):
"""
The function that take the input log file and input inactive_interval file location
to caculate the time spends and file requested per user session
and write the result into output file location
:type input_log_file: string
:type input_inactivity_file: string
:type output_file_uri: string
:rtype :
"""
# read the csvfile first line and parsing header info for each of fields
fields_idx = header_parser(input_log_file)
#open the output file for writing output
output_file = open(output_file_uri, 'w')
#read the idle_interval parameter from input_inactivity_file
with open(input_inactivity_file, 'r') as interval:
inactive_interval = int(interval.read()[0])
# read the csvfile line by line and parsing each line of data into
# a session object
with ioopen(input_log_file, encoding='utf-8') as csvfile:
lines = csvfile.readlines()
rest_lines = lines[1:]
user_sessions = {}
curr_time = None
for line in rest_lines:
fields = line.split(',')
ip = fields[fields_idx[ip_index]]
date = fields[fields_idx[date_index]]
time = fields[fields_idx[time_index]]
cik = fields[fields_idx[cik_index]]
timestamp = datetime.strptime((date + '' + time).strip(' '),
'%Y-%m-%d%H:%M:%S')
#first check all the seesions in the dictionary once time reflected,detact the end
#session and pop it to ouput file
if curr_time is None or timestamp > curr_time:
curr_time = timestamp
print curr_time
for user in user_sessions.values():
if user.idle_interval(curr_time) > inactive_interval:
u_ip = user.user_ip
end_session = user_sessions.pop(u_ip)
line = ','.join([
end_session.user_ip,
datetime.strftime(end_session.start_tm,
'%Y-%m-%d %H:%M:%S'),
datetime.strftime(end_session.latest_active_tm,
'%Y-%m-%d %H:%M:%S'),
str(end_session.session_duration()),
str(end_session.doc_num)
])
output_file.write(line + '\n')
#processing the curr line and check with user_sessions for insert or update
if ip in user_sessions.keys():
user_sessions[ip].update_active_time(timestamp)
user_sessions[ip].update_doc_num(1)
else:
new_session = userSession(ip, timestamp, timestamp, 1)
print(new_session.user_ip)
user_sessions[ip] = new_session
#append the rest of the remaining sessoins into the output file once reach the last line
line = ','.join([
i.user_ip,
datetime.strftime(i.start_tm, '%Y-%m-%d %H:%M:%S'),
datetime.strftime(i.latest_active_tm, '%Y-%m-%d %H:%M:%S'),
str(i.session_duration()),
str(i.doc_num)
])
output_file.write(line + '\n')
csvfile.close()
output_file.close()
def from_file(self, filename):
""" Reads in a prior from a file specification
Parameters
----------
filename: str
Name of the file to be read in
Notes
-----
Lines beginning with '#' or empty lines will be ignored.
Priors can be loaded from:
bilby.core.prior as, e.g., foo = Uniform(minimum=0, maximum=1)
floats, e.g., foo = 1
bilby.gw.prior as, e.g., foo = bilby.gw.prior.AlignedSpin()
other external modules, e.g., foo = my.module.CustomPrior(...)
"""
comments = ['#', '\n']
prior = dict()
mvgdict = dict(inf=np.inf) # evaluate inf as np.inf
with ioopen(filename, 'r', encoding='unicode_escape') as f:
for line in f:
if line[0] in comments:
continue
line.replace(' ', '')
elements = line.split('=')
key = elements[0].replace(' ', '')
val = '='.join(elements[1:]).strip()
cls = val.split('(')[0]
args = '('.join(val.split('(')[1:])[:-1]
try:
prior[key] = DeltaFunction(peak=float(cls))
logger.debug(
"{} converted to DeltaFunction prior".format(key))
continue
except ValueError:
pass
if "." in cls:
module = '.'.join(cls.split('.')[:-1])
cls = cls.split('.')[-1]
else:
module = __name__.replace(
'.' + os.path.basename(__file__).replace('.py', ''),
'')
cls = getattr(import_module(module), cls, cls)
if key.lower() in ["conversion_function", "condition_func"]:
setattr(self, key, cls)
elif (cls.__name__ in [
'MultivariateGaussianDist', 'MultivariateNormalDist'
]):
if key not in mvgdict:
mvgdict[key] = eval(val, None, mvgdict)
elif (cls.__name__
in ['MultivariateGaussian', 'MultivariateNormal']):
prior[key] = eval(val, None, mvgdict)
else:
try:
prior[key] = cls.from_repr(args)
except TypeError as e:
raise TypeError(
"Unable to parse dictionary file {}, bad line: {} "
"= {}. Error message {}".format(
filename, key, val, e))
self.update(prior)
