def read_from_db(data_file):
'''Reads the data from database and exports to specified JSON file'''
global LIMIT_COUNT
count = 1
json_docs = []
db = MongoDB()
cursor = db.query({})
if cursor:
for doc in cursor:
pprint.pprint(doc)
json_doc = json.dumps(doc, default=json_util.default)
json_docs.append(json_doc)
if LIMIT_COUNT != 0 and count > LIMIT_COUNT:
print "\nLimited IDs Read \n"
break
count += 1
db.close()
print count-1, "Records Found. \n"
json_data_file = [json.loads(j_doc, object_hook=json_util.object_hook) for j_doc in json_docs]
write_path = os.path.join(*[DIR, "data", data_file])
with open(write_path, 'w') as outfile:
json.dump(json_data_file, outfile, default=date_handler, indent=4, sort_keys=True)
def search_images_for_city(city_id: int,
limit: int = 1000,
batch_size: int = 50,
common_limit: bool = False,
only_new_posts: bool = False):
collection = MongoDB.db()['cities']
place_collection = MongoDB.db()['places']
query = {}
if city_id is not None:
query['city_id'] = city_id
cities = []
for city in collection.find(query):
buffer_city = {
'name': city['name'],
'_id': city['_id'],
'places': []
}
for place in place_collection.find({'city_id': city['_id']}):
buffer_city['places'].append(place['uid'])
cities.append(buffer_city)
for city in cities:
print('City `%s` has %d places' %
(city['name'],
place_collection.count({'city_id': city['_id']})))
for place_id in city['places']:
DataLoader.search_images_for_place(
place_id,
limit,
batch_size,
common_limit=common_limit,
only_new_posts=only_new_posts)
def insert_to_db():
'''Inserts scrapped data to database'''
global LIMIT_COUNT
count = 1
idlist = read_json('import.json')
db = MongoDB()
print "Initiate Scraping for ", len(idlist), "records ...\n\n"
for storeid in idlist:
print "Scraping Data: " + str(count) + "\n"
extn = scrap_data(storeid["_id"])
extn['updated'] = datetime.datetime.utcnow()
print extn
print "Inserted", db.insert({"_id":storeid["_id"]},
{"$set":extn, "$setOnInsert": {"created": datetime.datetime.utcnow()}}), "data.\n"
if LIMIT_COUNT != 0 and count > LIMIT_COUNT:
print "Update Limit Has Been Set \n"
break
count += 1
print count-1, "records updated. \n"
db.close()
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.shellcodes = set()
def __init__(self, update_rank_list):
self.db = MongoDB(update_rank_list=update_rank_list)
self.target_dict = {}
# print('Update once when initialized & take a look at time')
start_time = time.time()
self.whole_data_bundle()
self.period_seconds = int(time.time() - start_time) * 2
def query():
"""
given {start_time, end_time, grid_id [optional]}
return -> [{grid_id, volume}, ...]
"""
start_time = datetime.strptime(request.query.get('start_time'), '%Y-%m-%dT%H:%M:%SZ')
end_time = datetime.strptime(request.query.get('end_time'), '%Y-%m-%dT%H:%M:%SZ')
grid_id = request.query.get('grid_id')
mg = MongoDB()
mg.connect()
print('querying grid volumes...')
# if grid_id:
# results = mg.group_by([{'$match': {'created_at': {'$gt': start_time, '$lt': end_time}, 'grid_id': grid_id}},
# {'$group': {'_id': '$grid_id', 'count': {'$sum': 1}}}
# ])
# else:
# results = mg.group_by([{'$match': {'created_at': {'$gt': start_time, '$lt': end_time}}},
# {'$group': {'_id': '$grid_id', 'count': {'$sum': 1}}}
# ])
# group and count distinct user:
results = mg.group_by([ {'$match': {'created_at': {'$gt': start_time, '$lt': end_time}}},
{'$group': {'_id':{ 'grid_id':'$grid_id', 'user_id':'$user_id' }, 'count': {'$sum': 1} } },
{'$group': {'_id': '$_id.grid_id', 'count': {'$sum': 1}}}
])
ret = []
for result in results:
ret.append({'grid_id': result['_id'], 'volume': result['count']})
response.content_type = 'application/json'
return json_dumps(ret, indent=2)
async def on_ready(self):
"""
Implementing discord.Client on_ready() that is called when the bot is ready
We do any additional post-initialization set-up here
"""
print('Logged on as {0}!'.format(self.user))
self.db = MongoDB()
class DiscordClient(discord.Client):
"""
Creates an instance of the Bot
Attributes
__________
db: (MongoDB obj)
Instance of the custom MongoDB class to fetch and update the database
Functions
__________
async on_ready()
Implementing discord.Client on_ready() that is called when the bot is ready
async def on_reaction_add(reaction, user)
Implementing discord.Client on_reaction_add() that is called when a reaction is added to a message
async on_message(message)
Implementing discord.Client on_message() that is called when a user messages
in a server (discord.Guild)
"""
db = None
async def on_ready(self):
"""
Implementing discord.Client on_ready() that is called when the bot is ready
We do any additional post-initialization set-up here
"""
print('Logged on as {0}!'.format(self.user))
self.db = MongoDB()
async def on_reaction_add(self, reaction, user):
"""
Implementing discord.Client on_reaction_add() that is called when a reaction is added to a message
We call the corresponding database method to add that reaction to the message in our database
"""
self.db.addReactToMessageInDb(reaction)
async def on_message(self, message):
"""
Implementing discord.Client on_message() that is called when a user messages
in a server (discord.Guild)
This is where we add the new message into the database
"""
if message.author == self.user:
return
if len(message.content) < 1:
return
self.db.addMessageToDb(message)
class DBSaver:
def __init__(self,):
self.connection= MongoDB('mongodb://localhost:27017/', "mydatabase")
def SaveBeaconData(self, beaconDataDict):
#Save into beacon collection
for beaconData in beaconDataDict:
self.connection.SaveNewEntry(str(beaconData['UID']), beaconData)
#Save into master
self.connection.SaveNewEnteries("allbeacondata", beaconDataDict)
def all_grids():
mg = MongoDB()
mg.connect()
griddb = GridDB()
print('querying grid volumes...')
results = mg.group_by([{'$match': {'created_at': {'$gt': datetime.strptime('2012-10-15T20:00:02Z', '%Y-%m-%dT%H:%M:%SZ'),
'$lt': datetime.strptime('2012-11-15T20:00:02Z', '%Y-%m-%dT%H:%M:%SZ')}}}]) # print(results)
griddb.add(results)
ret = Grid.get_raw_pandas_ts(results, 'D')
STL.seasonal_decomposition(ret)
def load_tweets_to_grids():
# mongodb
mg = MongoDB()
mg.connect()
tweets = mg.find()
grid_db = GridDB()
grid_db.add(tweets)
return grid_db
def __init__(self, update_rank_list):
self.db = MongoDB(update_rank_list=update_rank_list)
self.total_rank_list = []
# self.mid_list = []
# self.message_room_persentage_dict = {}
# self.man_chart_dict = {}
# self.man_status_dict = {}
# self.radar_dict = {}
self.huolonglive_tracker = {}
self.NRS = no_ram_saver()
'start socket process.. if this works'
python_ws_client(self.db)
print('Update once when initialized & take a look at time')
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.shellcodes = set()
class Quick_update(object):
def __init__(self, update_rank_list):
self.db = MongoDB(update_rank_list=update_rank_list)
self.target_dict = {}
# print('Update once when initialized & take a look at time')
start_time = time.time()
self.whole_data_bundle()
self.period_seconds = int(time.time() - start_time) * 2
# print("--- %s seconds ---" % (self.period_seconds))
def begin_update_data_periodically(self):
timerThread = threading.Thread(target=self.timer_func)
timerThread.start()
def timer_func(self):
next_call = time.time()
while True:
# print(f"update data at: {datetime.datetime.now()}")
start_time = time.time()
self.whole_data_bundle()
self.period_seconds = int(time.time() - start_time) * 2
# print("--- %s seconds ---" % (self.period_seconds))
next_call = next_call + self.period_seconds
time.sleep(max(next_call - time.time(), 1))
def whole_data_bundle(self):
self.target_dict = self.db.get_updated_server_info()
def single_grid(grid_id):
mg = MongoDB()
mg.connect()
start_time = datetime.strptime('2012-10-15T20:00:02Z', '%Y-%m-%dT%H:%M:%SZ')
end_time = datetime.strptime('2012-11-15T20:00:02Z', '%Y-%m-%dT%H:%M:%SZ')
print('querying grid volumes...')
# results = mg.group_by([{'$match': {'created_at': {'$gt': start_time, '$lt': end_time}, 'grid_id': grid_id}},
# {'$group': {'_id': '$grid_id', 'count': {'$sum': 1}}}])
results = mg.group_by([{'$match': {'created_at': {'$gt': datetime.strptime('2012-10-15T00:00:00Z', '%Y-%m-%dT%H:%M:%SZ'),
'$lt': datetime.strptime('2012-11-15T00:00:00Z', '%Y-%m-%dT%H:%M:%SZ')},
'grid_id': grid_id}}]) # print(results)
print(results)
ret = Grid.get_raw_pandas_ts(results, 'H')
# print('------------')
# print(ret)
print(STL.seasonal_decomposition(ret))
def download_predicted_images(dir,
limit: int = None,
batch_size=10,
predicted_class='tpo',
min_accuracy=None,
max_accuracy=None,
source='thumbnail_url'):
if os.path.isdir(dir) is False:
os.makedirs(dir)
collection = MongoDB.db()['images']
query = {'class': predicted_class, 'accuracy': {}}
if min_accuracy is not None:
query['accuracy']['$gte'] = min_accuracy
if max_accuracy is not None:
query['accuracy']['$lte'] = max_accuracy
# if query['accuracy']:
# del query['accuracy']
# dir_files = [f for f in os.listdir(dir) if os.path.isfile(os.path.join(dir, f))]
counter = 0
stop = False
last_id = None
# if len(dir_files) > 0:
# last_id = sorted(dir_files)[-1]
# else:
# last_id = None
total_count = collection.find(query).count()
if limit is not None:
total_count = limit
while (limit is None or counter < limit
) and collection.find(query).sort([('uid', 1)]).count() > 0:
pool = multiprocessing.pool.ThreadPool()
results = []
if last_id is not None:
query['uid'] = {'$gt': last_id}
for image in collection.find(query).sort([('uid', 1)
]).limit(batch_size):
if limit is not None and counter >= limit:
break
elif limit is None:
counter += 1
if os.path.exists(os.path.join(
dir, image['uid'] + '.jpg')) is False:
results.append(
pool.apply_async(
DataLoader.download_to_file,
(image[source],
os.path.join(dir, image['uid'] + '.jpg'))))
if limit is not None:
counter += 1
last_id = image['uid']
for res in results:
data = res.get()
pool.close()
pool.join()
print('Downloaded %d of %d images' % (counter, total_count))
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.JSONLog = JSONLog(thug_version)
self.baseDir = None
self.shellcodes = set()
self.shellcode_urls = set()
def load_places_for_city(self,
city_id: int = None,
limit: int = None,
use_last_cursor: bool = False):
collection = MongoDB.db()['cities']
placesCollection = MongoDB.db()['places']
query = {}
if city_id is not None:
query['city_id'] = city_id
for city in collection.find(query):
cursor = None
if use_last_cursor and 'last_cursor' in city:
if city['last_cursor'] is False:
continue
cursor = city['last_cursor']
print('Start searching places for %s' % city['name'])
counter = 0
while limit is None or counter < limit:
places, cursor = self.search_places_for_location(
city['uid'], 10, cursor)
for place_id in places:
if not placesCollection.find_one({'uid': place_id}):
place = places[place_id]
place['city_id'] = city['_id']
place['location'] = {
'type': 'Point',
'coordinates':
[place['longitude'], place['latitude']]
}
placesCollection.insert_one(place)
print("Place `%s` was added to `%s`" %
(place['name'], city['city_local_name']))
counter += 1
MongoDB.db()['cities'].update_one(
{'_id': city['_id']}, {'$set': {
'last_cursor': cursor
}})
print('Found %d places of %d' %
(counter, limit if limit is not None else -1))
if cursor is False:
break
class ThugLogging(BaseLogging):
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.shellcodes = set()
def set_url(self, url):
self.MAEC.set_url(url)
self.MongoDB.set_url(url)
def add_behavior_warn(self, description = None, cve = None, method = "Dynamic Analysis"):
self.MAEC.add_behavior_warn(description, cve, method)
def add_code_snippet(self, snippet, language, relationship, method = "Dynamic Analysis"):
self.MAEC.add_code_snippet(snippet, language, relationship, method)
def log_file(self, data, url):
sample = self.build_sample(data, url)
if sample is None:
return
self.HPFeeds.log_file(sample)
self.MAEC.log_file(sample)
self.MongoDB.log_file(sample)
def log_event(self):
log.warning("Saving log analysis at %s" % (log.baseDir, ))
with open(os.path.join(log.baseDir, 'analysis.xml'), 'a+r') as fd:
self.MAEC.export(outfile = fd)
fd.seek(0)
data = fd.read()
self.HPFeeds.log_event(data)
self.MongoDB.log_event(data)
def log_redirect(self, response):
if not response:
return
redirects = list()
r = response
while r.previous:
redirects.append(r.previous)
r = r.previous
while len(redirects):
p = redirects.pop()
self.add_behavior_warn("[HTTP Redirection (Status: %s)] Content-Location: %s --> Location: %s" % (p['status'],
p['content-location'],
p['location'], ))
def log_href_redirect(self, referer, url):
self.add_behavior_warn("[HREF Redirection (document.location)] Content-Location: %s --> Location: %s" % (referer, url, ))
def __init__(self):
self.command = Command()
print(type(self.command))
self.db = MongoDB()
self.SPEAKER = 'SPEAKER'
self.music_cmd = [
"Playing... - func => playingmusic", "명령 : 1. 그만 | 2. 다음",
"명령을 확인중...", "다시 말해 주세요.", "재생을 정지합니다."
]
self.filename = [
'music/Do It.mp3', 'music/noma - Color.mp3', 'music/Sakura.mp3',
'music/Dawn.mp3', 'music/Tomorrow.mp3'
]
self.music_num = random.randrange(0, 5)
self.initMixer()
self.r = sr.Recognizer()
self.count = 0
self.count = self.music_num
print(self.count)
self.playmusic(self.filename[self.music_num])
def get_posts():
db = MongoDB("facebook")
search_term = request.args.get('q')
data = None
with db.open("posts") as dbpost:
find_ = re.compile(search_term, re.IGNORECASE)
data = list(
dbpost.find({
"name": "tatnh",
"content": {
"$regex": find_
}
}))
if not data:
return "NULL"
list_content = []
for ct in data:
if "content" in ct:
content = ct["content"]
if search_term.lower() in content.lower():
content = content
list_content.append(
{"content": content.encode("utf-8").decode("utf-8")})
return jsonify({"data": list_content})
def query():
"""
given {start_time, end_time, aggregation}
return -> [{time, freq}, ...]
"""
start_time = datetime.strptime(request.query.get("start_time"), '%Y-%m-%dT%H:%M:%SZ')
end_time = datetime.strptime(request.query.get("end_time"), '%Y-%m-%dT%H:%M:%SZ')
aggregation = request.query.get("aggregation")
mg = MongoDB()
mg.connect()
print("querying time series...")
results = mg.find( {'created_at': {'$gt': start_time, '$lt': end_time}} )
results = Grid.get_ts(results, aggregation)
ret = []
for result in results:
ret.append({'start_time': result[0].to_datetime().strftime('%Y-%m-%dT%H:%M:%SZ'),
'frequency': result[1].item()})
response.content_type = 'application/json'
return json_dumps(ret, indent=2)
def getDailyPrice(params):
Data = MongoDB.get(**params)
if isinstance(Data, list):
for data in Data:
del data['_id']
endDate = max([temp.get('Date') for temp in Data])
startDate = min([temp.get('Date') for temp in Data])
return jsonify({
'ReplyMsg':
f'取得資料成功 {params["Ticker"]} from {startDate} to {endDate}',
'GridData': Data
})
elif isinstance(Data, str):
return jsonify({
'ReplyMsg':
f'取得資料失敗 {params["Ticker"]} from {params["StartDate"]} to {params["EndDate"]}',
'GridData': Data
})
class DBRetriever:
def __init__(self):
self.connection = MongoDB('mongodb://localhost:27017/', "mydatabase")
self.Logger = FileLogger()
def QueryDatabase(self, collectionName, filter):
self.Logger.Info('CollectionName: ' + collectionName + ' Query: ' +
str(filter))
cursor = self.connection.QueryCollection(collectionName, filter)
#cursor = self.connection.LoadAllEntries(collectionName)
return self.ParseCursor(cursor)
def ParseCursor(self, cursor):
cursorList = list(cursor)
parsedData = []
for beaconCursor in cursorList:
beaconJSON = dumps(beaconCursor)
beaconObject = json.loads(beaconJSON)
parsedData.append(beaconObject)
self.Logger.Info('ReturnedData: ' + str(parsedData))
return parsedData
def write_tweets_to_mongo():
""" load tweets, decide the grid of tweets and insert the tweets into mongo
this function serves as the initial step of the pipeline.
all following db-specific operations are based on the dataset inserted here.
This function is only called once for the entire pipeline.
"""
data_file = "data/sandy_all.txt"
kml_file = ["data/nj_ct.kml", "data/nyc_ct_sea.kml"]
# kml_file = ['data/nyc_cb_sea.kml']
tweets = load_tweets(data_file)
# trajectories = tweets_to_trajectories(tweets)
grid_db = GridDB()
grid_db.load_grid_from_file(kml_file[0])
grid_db.load_grid_from_file(kml_file[1])
# grid_db.write_grids_to_json('shapefile.json')
grid_db.check_and_add(tweets)
#####################################################
############## index Tweets into MongoDB ############
#####################################################
# mongodb
mg = MongoDB()
mg.connect()
print("connected...")
mg.drop()
# tweets to dicts;
rst = []
for t in grid_db.get_tweets():
rst.append(t.to_dict())
print("inserting...")
mg.insert_tweets(rst)
class ThugLogging(BaseLogging):
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
def set_url(self, url):
self.MAEC.set_url(url)
self.MongoDB.set_url(url)
def add_behavior_warn(self, description = None, cve = None, method = "Dynamic Analysis"):
self.MAEC.add_behavior_warn(description, cve, method)
def add_code_snippet(self, snippet, language, relationship):
self.MAEC.add_code_snippet(snippet, language, relationship)
def log_file(self, data, url):
sample = self.build_sample(data, url)
if sample is None:
return
self.HPFeeds.log_file(sample)
self.MAEC.log_file(sample)
self.MongoDB.log_file(sample)
def log_event(self):
log.info("Saving log analysis at %s" % (log.baseDir, ))
with open(os.path.join(log.baseDir, 'analysis.xml'), 'a+r') as fd:
self.MAEC.export(outfile = fd)
fd.seek(0)
data = fd.read()
self.HPFeeds.log_event(data)
self.MongoDB.log_event(data)
#!/bin/python
from DataProcessor import DataProcessor
from Utils import Utils
from Logger import Logger
from MongoDB import MongoDB
Utils.createFolderIfNotExists(DataProcessor.TMP_FOLDER)
LOGGER=Logger(DataProcessor.TMP_FOLDER,verbose=False,name='processor')
Utils(DataProcessor.TMP_FOLDER,LOGGER)
LOGGER.info('Starting Data Processor...')
if Utils.runningOnDockerContainer(){
mongo_addr='mongo'
}else{
mongo_addr='127.0.0.1'
}
mongo=MongoDB(mongo_addr,27017,LOGGER,user='******',password='******')
processor=DataProcessor(mongo,LOGGER)
mongo.startQueue(id=0)
LOGGER.info('Started Data Processor...OK')
LOGGER.info('Listening on queue as {}'.format(mongo.getQueueConsumerId()))
processor.loopOnQueue()
def __get_collection__(self):
return MongoDB.db()[self.__collection__]
grid_db.add(tweets)
return grid_db
if __name__ == "__main__":
# write_tweets_to_mongo()
grid_db = load_tweets_to_grids()
print(grid_db.get_outlier_grid_ids("H"))
print("tweets loaded")
# for grid_id in grid_db.grid_cache:
# print(grid_id, grid_db.grid_cache[grid_id].get_ts(grid_db.get_tweets(), 'H'))
exit()
mg = MongoDB()
mg.connect()
print("querying grid volumes...")
results = mg.group_by(
[
{
"$match": {
"created_at": {
"$gt": datetime.strptime("2012-10-15T20:00:02Z", "%Y-%m-%dT%H:%M:%SZ"),
"$lt": datetime.strptime("2012-10-22T20:00:02Z", "%Y-%m-%dT%H:%M:%SZ"),
}
}
}
]
class update_data(object):
def __init__(self, update_rank_list):
self.db = MongoDB(update_rank_list=update_rank_list)
self.total_rank_list = []
# self.mid_list = []
# self.message_room_persentage_dict = {}
# self.man_chart_dict = {}
# self.man_status_dict = {}
# self.radar_dict = {}
self.huolonglive_tracker = {}
self.NRS = no_ram_saver()
'start socket process.. if this works'
python_ws_client(self.db)
print('Update once when initialized & take a look at time')
# start_time = time.time()
# self.whole_data_bundle()
# self.period_seconds = 500
# print("--- %s seconds ---" % (self.period_seconds))
def begin_update_data_periodically(self):
timerThread_0 = threading.Thread(target=self.timer_func_dual)
timerThread_0.daemon = True
print(timerThread_0.daemon)
timerThread_0.start()
timerThread = threading.Thread(target=self.timer_func)
timerThread.daemon = True
print(timerThread.daemon)
timerThread.start()
timerThread_1 = threading.Thread(target=self.timer_func_tri)
timerThread_1.daemon = True
print(timerThread_1.daemon)
timerThread_1.start()
def timer_func(self):
# pass
# next_call = time.time()
while True:
# print(f"update data at: {datetime.datetime.now()}")
# self.whole_data_bundle()
try:
print(f"update data at: {datetime.datetime.now()}")
self.whole_data_bundle()
time.sleep(60)
except Exception as error:
print("*************************************",
file=open("log.txt", "a"))
print('Caught this error from timer_func: ' + repr(error),
file=open("log.txt", "a"))
traceback_str = ''.join(
traceback.format_tb(error.__traceback__))
print('Caught this traceback from timer_func: ' +
traceback_str,
file=open("log.txt", "a"))
print("<<<<<<<<<<<<<<<>>>>>>>>>>>>>>>>>>>>>>",
file=open("log.txt", "a"))
def timer_func_dual(self):
# pass
next_call = time.time()
while True:
try:
self.update_monitor_quickly()
self.period_seconds = 60
# print("--- %s seconds ---" % (self.period_seconds))
print("Finish updating radar")
next_call = next_call + self.period_seconds
if next_call - time.time() > 0:
time.sleep(next_call - time.time())
except Exception as error:
print("*************************************",
file=open("log.txt", "a"))
print('Caught this error from timer_func_dual: ' + repr(error),
file=open("log.txt", "a"))
traceback_str = ''.join(
traceback.format_tb(error.__traceback__))
print('Caught this traceback from timer_func_dual: ' +
traceback_str,
file=open("log.txt", "a"))
print("<<<<<<<<<<<<<<<>>>>>>>>>>>>>>>>>>>>>>",
file=open("log.txt", "a"))
def timer_func_tri(self):
next_call = time.time()
while True:
try:
self.db.update_the_original_rank_list()
self.period_seconds = 3600
print("Finish updating radar")
next_call = next_call + self.period_seconds
if next_call - time.time() > 0:
time.sleep(next_call - time.time())
except Exception as error:
print("*************************************",
file=open("log.txt", "a"))
print('Caught this error from timer_func_tri: ' + repr(error),
file=open("log.txt", "a"))
traceback_str = ''.join(
traceback.format_tb(error.__traceback__))
print('Caught this traceback from timer_func_tri: ' +
traceback_str,
file=open("log.txt", "a"))
print("<<<<<<<<<<<<<<<>>>>>>>>>>>>>>>>>>>>>>",
file=open("log.txt", "a"))
def update_monitor_quickly(self):
'first, calculate rank list'
self.huolonglive_tracker = self.db.build_huolonglive_tracker()
def whole_data_bundle(self):
'Fill in the data bundle'
# 'Time to update everything~'
duplicate_update_set = self.db.duplicate_update_set.copy()
self.db.duplicate_update_set.clear()
if len(duplicate_update_set) > 0:
self.db.remove_all_duplicate_elements(duplicate_update_set)
self.total_rank_list, local_mid_list = self.db.find_total_rank()
saver_update_set = self.db.saver_update_set.copy()
# reset the saver_update_list
self.db.saver_update_set.clear()
# # 'always make sure there is no duplicate messages'
# self.db.remove_all_duplicate_elements()
if len(saver_update_set) > 0:
for uid in tqdm(saver_update_set):
if uid in local_mid_list and len(
list(self.db.ranking.find({'_id': uid}))) > 0:
self.NRS.save_dict(
self.db.build_message_room_persentage(uid), uid,
"message_room_persentage")
self.NRS.save_dict(self.db.build_man_chart(uid), uid,
"man_chart")
self.NRS.save_dict(self.db.obtain_man_status(uid), uid,
"man_status")
self.NRS.save_dict(self.db.build_radar_chart(uid), uid,
"radar")
self.NRS.save_dict(self.db.get_all_danmaku(uid), uid,
"all_danmaku")
# else:
# print("*************************************", file=open("log.txt", "a"))
# print('Caught this error from whole data bundle: ' + f"uid:{uid}", file=open("log.txt", "a"))
# if_in_local_mid_list = uid in local_mid_list
# if_in_duplicate_list = uid in duplicate_update_set
# print("if_in_local_mid_list:" + f"{if_in_local_mid_list}" + f"if_in_duplicate_list: {if_in_duplicate_list}", file=open("log.txt", "a"))
# print(f"finding rank length: {len(list(self.db.ranking.find({'_id': uid})))}", file=open("log.txt", "a"))
# print("<<<<<<<<<<<<<<<>>>>>>>>>>>>>>>>>>>>>>", file=open("log.txt", "a"))
# self.message_room_persentage_dict[uid] = self.db.build_message_room_persentage(uid)
# self.man_chart_dict[uid] = self.db.build_man_chart(uid)
# self.man_status_dict[uid] = self.db.obtain_man_status(uid)
# self.radar_dict[uid] = self.db.build_radar_chart(uid)
# self.db.build_basic_message_sets()
print("everything get updated")
def get_total_message(self, uid):
loaded_data = self.NRS.load_dict(uid, "all_danmaku")
return {'data': loaded_data, 'roomid_list': list(loaded_data.keys())}
return tweet
def processQuote(tweet, isRT):
pass
def insertTweet (tweet):
pass
"""
tweet = getTweet('917946195410128897')
print(sys.getdefaultencoding())
print (tweet.count())
for t in tweet:
print (t["text"])
"""
db = MongoDB(mongoDB)
RTcount = 0
quoteCount = 0
tweets = db.find(MongoDB.TWEETS_COLLECTION) #getAllTweet()
rts = db.find(MongoDB.TWEETS_COLLECTION, {"retweeted_status": { "$exists" : True}}) #getRTs()
quotes = getQuotes()
originals = getOriginals()
replys = getReplys()
for t in tweets:
isRT = False
if CONST_RT in t:
isRT = True
RTcount += 1
processRT(t)
def __init__(self):
# MEMBERS
# self.motor = MotorControl() #servo motor
self.db = MongoDB()
self.lock = threading.Lock()
self.timedCaptureBool = False
self.threadInProgress = threading.Event()
# GUI ELEMENTS
self.root = Tk()
self.root.title('ZRecognition')
self.root.geometry('800x600')
self.root.resizable(False, False)
# FRAME DEFINITIONS
self.imageFrame = Frame(self.root, padx=5, pady=5)
self.inputFrame = Frame(self.root, padx=5, pady=5)
self.logFrame = Frame(self.root, padx=5, pady=5)
# WIDGET DEFINITIONS
self.canvasColor = Canvas(self.imageFrame)
self.canvasDigi = Canvas(self.imageFrame)
self.manualCapture = Button(
self.inputFrame,
text='Manual Capture',
height=1,
command=lambda: threading.Thread(target=lambda: self.ManualCapture(
)).start() if not self.threadInProgress.isSet() else None)
self.timedCapture = Button(
self.inputFrame,
text='Timed Capture',
height=1,
command=lambda: threading.Thread(target=lambda: self.TimedCapture(
)).start() if not self.threadInProgress.isSet() else None)
self.stopCapture = Button(self.inputFrame,
text='Stop Timed Capture',
height=1,
command=lambda: self.StopTimer())
self.timedCaptureTimer = Text(self.inputFrame, width=10, height=2)
self.log = sctx.ScrolledText(self.logFrame, height=10, state=DISABLED)
self.var = IntVar(self.inputFrame)
self.var.set(3) # initial value
self.option = OptionMenu(self.inputFrame, self.var, 3, 4, 5, 6, 7)
# PLACING ALL ELEMENTS INTO FORM
# IMAGE FRAME
self.imageFrame.grid(row=0, column=0, sticky=N + S + E + W)
self.canvasColor.grid(row=0, column=0, sticky=N + S)
self.canvasDigi.grid(row=0, column=1, sticky=N + S)
# INPUT FRAME
self.inputFrame.grid(row=1, column=0, sticky=N + S + E + W)
self.manualCapture.grid(row=0, column=0, sticky=N + S + E + W)
self.timedCapture.grid(row=0, column=1, sticky=N + S + E + W)
self.stopCapture.grid(row=1, column=0, sticky=N + S + E + W)
self.option.grid(row=1, column=1)
# LOG FRAME
self.logFrame.grid(row=2, column=0, sticky=N + S + E + W)
self.log.grid(row=0, column=0, sticky=N + S + E + W)
# GRID WEIGHT FOR EXPANDING
# MAIN FRAME
temp = self.root.grid_size()
for r in range(temp[1]): # ROWS
Grid.rowconfigure(self.root, r, weight=1)
for c in range(temp[0]):
Grid.columnconfigure(self.root, c, weight=1)
# CANVAS FRAME
temp = self.imageFrame.grid_size()
for r in range(temp[1]): # ROWS
Grid.rowconfigure(self.imageFrame, r, weight=1)
for c in range(temp[0]):
Grid.columnconfigure(self.imageFrame, c, weight=1)
# INPUT FRAME
temp = self.inputFrame.grid_size()
for r in range(temp[1]): # ROWS
Grid.rowconfigure(self.inputFrame, r, weight=1)
for c in range(temp[0]):
Grid.columnconfigure(self.inputFrame, c, weight=1)
# LOG FRAME
Grid.rowconfigure(self.logFrame, 0, weight=1)
Grid.columnconfigure(self.logFrame, 0, weight=1)
class ThugLogging(BaseLogging):
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.JSONLog = JSONLog(thug_version)
self.baseDir = None
self.shellcodes = set()
self.shellcode_urls = set()
def set_url(self, url):
self.HPFeeds.set_url(url)
self.MAEC.set_url(url)
self.MongoDB.set_url(url)
self.JSONLog.set_url(url)
def add_behavior_warn(self, description = None, cve = None, method = "Dynamic Analysis"):
self.MAEC.add_behavior_warn(description, cve, method)
self.JSONLog.add_behavior_warn(description, cve, method)
def add_code_snippet(self, snippet, language, relationship, method = "Dynamic Analysis"):
self.MAEC.add_code_snippet(snippet, language, relationship, method)
self.JSONLog.add_code_snippet(snippet, language, relationship, method)
def log_file(self, data, url):
sample = self.build_sample(data, url)
if sample is None:
return
self.HPFeeds.log_file(sample)
self.MAEC.log_file(sample)
self.MongoDB.log_file(copy.deepcopy(sample))
self.JSONLog.log_file(sample)
def log_event(self):
log.warning("Saving log analysis at %s" % (self.baseDir, ))
with open(os.path.join(self.baseDir, 'analysis.xml'), 'a+r') as fd:
self.MAEC.export(outfile = fd)
fd.seek(0)
data = fd.read()
self.HPFeeds.log_event(data)
self.MongoDB.log_event(data)
self.JSONLog.export(self.baseDir)
def log_connection(self, source, destination, method, flags = {}):
"""
Log the connection (redirection, link) between two pages
@source The origin page
@destination The page the user is made to load next
@method Link, iframe, .... that moves the user from source to destination
@flags Additional information flags. Existing are: "exploit"
"""
self.JSONLog.log_connection(source, destination, method, flags)
def log_location(self, url, ctype, md5, sha256, flags = {}, fsize = 0, mtype = ""):
"""
Log file information for a given url
@url Url we fetched this file from
@ctype Content type (whatever the server says it is)
@md5 MD5 hash
@sha256 SHA256 hash
@fsize File size
@mtype Calculated mime type
"""
self.JSONLog.log_location(url, ctype, md5, sha256, flags = flags, fsize = fsize, mtype = mtype)
def log_exploit_event(self, url, module, description, cve = None, data = None, forward = True):
"""
Log file information for a given url
@url Url where this exploit occured
@module Module/ActiveX Control, ... that gets exploited
@description Description of the exploit
@cve CVE number (if available)
@forward Forward log to add_behavior_warn
"""
if forward:
self.add_behavior_warn("[%s] %s" % (module, description, ), cve = cve)
self.JSONLog.log_exploit_event(url, module, description, cve = cve, data = data)
def log_warning(self, data):
log.warning(data)
self.HPFeeds.log_warning(data)
def log_redirect(self, response):
if not response:
return
redirects = list()
r = response
last = None
final = response['content-location']
while r.previous:
redirects.append(r.previous)
r = r.previous
while len(redirects):
p = redirects.pop()
self.add_behavior_warn("[HTTP Redirection (Status: %s)] Content-Location: %s --> Location: %s" % (p['status'],
p['content-location'],
p['location'], ))
self.log_connection(p['content-location'], p['location'],"http-redirect")
last = p['location']
if last:
self.log_connection(last, final, "http-redirect")
def log_href_redirect(self, referer, url):
self.add_behavior_warn("[HREF Redirection (document.location)] Content-Location: %s --> Location: %s" % (referer, url, ))
self.log_connection(referer, url, "href")
def set_basedir(self, url):
if self.baseDir:
return
t = datetime.datetime.now()
m = hashlib.md5()
m.update(url)
base = os.getenv('THUG_LOGBASE', '..')
self.baseDir = os.path.join(base, 'logs', m.hexdigest(), t.strftime("%Y%m%d%H%M%S"))
try:
os.makedirs(self.baseDir)
except OSError as e:
if e.errno == errno.EEXIST:
pass
else:
raise
with open(os.path.join(base, 'logs', 'thug.csv'), 'a+r') as fd:
csv_line = '%s,%s\n' % (m.hexdigest(), url, )
for l in fd.readlines():
if l == csv_line:
return
fd.write(csv_line)
def set_absbasedir(self, basedir):
self.baseDir = basedir
try:
os.makedirs(self.baseDir)
except OSError as e:
if e.errno == errno.EEXIST:
pass
else:
raise
#!/bin/python
from DataProcessor import DataProcessor
from Utils import Utils
from Logger import Logger
from MongoDB import MongoDB
Utils.createFolderIfNotExists(DataProcessor.TMP_FOLDER)
LOGGER = Logger(DataProcessor.TMP_FOLDER, verbose=True, name='processor')
Utils(DataProcessor.TMP_FOLDER, LOGGER)
mongo = MongoDB('127.0.0.1', 27017, LOGGER, user='******', password='******')
mongo.startQueue(id=0)
print(mongo.getQueueConsumerId())
processor = DataProcessor(mongo, LOGGER)
processor.filterAndNormalizeFullDataset()
def __init__(self):
self.connection = MongoDB('mongodb://localhost:27017/', "mydatabase")
self.Logger = FileLogger()
class music:
def __init__(self):
self.command = Command()
print(type(self.command))
self.db = MongoDB()
self.SPEAKER = 'SPEAKER'
self.music_cmd = [
"Playing... - func => playingmusic", "명령 : 1. 그만 | 2. 다음",
"명령을 확인중...", "다시 말해 주세요.", "재생을 정지합니다."
]
self.filename = [
'music/Do It.mp3', 'music/noma - Color.mp3', 'music/Sakura.mp3',
'music/Dawn.mp3', 'music/Tomorrow.mp3'
]
self.music_num = random.randrange(0, 5)
self.initMixer()
self.r = sr.Recognizer()
self.count = 0
self.count = self.music_num
print(self.count)
self.playmusic(self.filename[self.music_num])
def playmusic(self, soundfile):
pygame.init()
pygame.mixer.init()
self.clock = pygame.time.Clock()
pygame.mixer.music.load(soundfile)
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
#print("Playing... - func => playingmusic")
print(self.music_cmd[0])
self.clock.tick(1000) # 초당 1000프레임이상이 안되게 제한
with sr.Microphone() as source:
self.r.adjust_for_ambient_noise(source)
print("%s번째 곡 : %s" %
((self.count % 5) + 1, self.filename[self.count % 5]))
#print("명령 : 1. 그만 | 2. 다음")
print(self.music_cmd[1])
self.audio_text = self.r.listen(source)
try:
#print("명령을 확인중...")
print(self.music_cmd[2])
r2 = self.r.recognize_google(self.audio_text,
language='ko-KR')
print(r2)
if self.command.STOP in r2:
self.stopmusic()
self.db.insert_command_one(self.command.STOP, '',
self.SPEAKER)
elif self.command.NEXT in r2:
self.count += 1
self.playmusic(self.filename[self.count % 5])
self.db.insert_command_one(self.command.NEXT, '',
self.SPEAKER)
except KeyboardInterrupt:
self.stopmusic()
print("\nPlay stopped by user")
except:
#print("다시 말해 주세요.")
print(self.music_cmd[3])
print(sys.exc_info())
def stopmusic(self):
"""stop currently playing music"""
#print("재생을 정지합니다.")
print(self.music_cmd[4])
pygame.mixer.music.stop()
def getmixerargs(self):
pygame.mixer.init()
freq, size, chan = pygame.mixer.get_init()
return freq, size, chan
def initMixer(self):
BUFFER = 3072 # audio buffer size, number of samples since pygame 1.8.
FREQ, SIZE, CHAN = self.getmixerargs()
pygame.mixer.init(FREQ, SIZE, CHAN, BUFFER)
# Conexion for Mongodb Atlas
from MongoDB import MongoDB
connector = MongoDB(
"mongodb://*****:*****@db-argentum-shard-00-00-8pr3z.gcp.mongodb.net:27017,db-argentum-shard-00-01-8pr3z.gcp.mongodb.net:27017,db-argentum-shard-00-02-8pr3z.gcp.mongodb.net:27017/db-mechanicus?ssl=true&replicaSet=DB-Argentum-shard-0&authSource=admin&retryWrites=true",
'db-mechanicus')
from flask import *
from flask_cors import *
from MongoDB import MongoDB
# runtime configurations
HOST = 'localhost'
PORT = 5000
m = MongoDB(url="localhost:27017", database="college", doc="student")
app = Flask(__name__)
@app.route('/', methods=['GET'])
def get_students():
print(m.size())
val = jsonify(m.find_all())
return val
@app.route('/<id>', methods=['GET'])
def get_student_by_id(id):
val = m.find_by_id(id)
return val
@app.route('/', methods=['POST'])
def add_student():
student = request.get_json()
m.add(student)
return student
def search_images_for_place(place_id: int,
limit: int = 1000,
batch_size: int = 50,
common_limit: bool = False,
only_new_posts: bool = False):
images_collection = MongoDB.db()['images']
place = MongoDB.db()['places'].find_one({'uid': place_id})
if not place:
raise NameError("Place not found")
real_place_id = None
if place:
real_place_id = place['_id']
max_id = None
min_id = None
if only_new_posts:
try:
if place:
max_id = images_collection.find({
'place_id': place['_id']
}).sort([('uid', -1)]).limit(1).next()
max_id = max_id['uid']
except StopIteration:
max_id = None
else:
try:
if place:
min_id = images_collection.find({
'place_id': place['_id']
}).sort([('uid', 1)]).limit(1).next()
min_id = min_id['uid']
print('Place_id=%d continue from %d' %
(int(place_id), int(min_id)))
except StopIteration:
min_id = None
if common_limit is True:
place_images_quantity = 0
if place:
place_images_quantity = images_collection.count(
{'place_id': place['_id']})
limit = max(limit - place_images_quantity, 0)
images, _ = DataLoader.search_images_for_location(place_id,
limit,
batch_size,
cursor=min_id,
min_id=max_id)
if images is False:
return False
for image in images:
if images_collection.count(
) == 0 or not images_collection.find_one({'uid': image['id']}):
images_collection.insert_one({
'place_id':
real_place_id,
'uid':
image['id'],
'shortcode':
image['shortcode' if 'shortcode' in image else 'code'],
'image_url':
image['display_url' if 'display_url' in
image else 'display_src'],
'thumbnail_url':
image['thumbnail_src'],
'class':
None,
'accuracy':
None
})
class ThugLogging(BaseLogging):
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.shellcodes = set()
def set_url(self, url):
self.MAEC.set_url(url)
self.MongoDB.set_url(url)
def add_behavior_warn(self,
description=None,
cve=None,
method="Dynamic Analysis"):
self.MAEC.add_behavior_warn(description, cve, method)
def add_code_snippet(self,
snippet,
language,
relationship,
method="Dynamic Analysis"):
self.MAEC.add_code_snippet(snippet, language, relationship, method)
def log_file(self, data, url):
sample = self.build_sample(data, url)
if sample is None:
return
self.HPFeeds.log_file(sample)
self.MAEC.log_file(sample)
self.MongoDB.log_file(sample)
def log_event(self):
log.warning("Saving log analysis at %s" % (log.baseDir, ))
with open(os.path.join(log.baseDir, 'analysis.xml'), 'a+r') as fd:
self.MAEC.export(outfile=fd)
fd.seek(0)
data = fd.read()
self.HPFeeds.log_event(data)
self.MongoDB.log_event(data)
def log_redirect(self, response):
if not response:
return
redirects = list()
r = response
while r.previous:
redirects.append(r.previous)
r = r.previous
while len(redirects):
p = redirects.pop()
self.add_behavior_warn(
"[HTTP Redirection (Status: %s)] Content-Location: %s --> Location: %s"
% (
p['status'],
p['content-location'],
p['location'],
))
def log_href_redirect(self, referer, url):
self.add_behavior_warn(
"[HREF Redirection (document.location)] Content-Location: %s --> Location: %s"
% (
referer,
url,
))
def __init__(self,):
self.connection= MongoDB('mongodb://localhost:27017/', "mydatabase")
class ThugLogging(BaseLogging):
def __init__(self, thug_version):
BaseLogging.__init__(self)
self.HPFeeds = HPFeeds()
self.MAEC = MAEC(thug_version)
self.MongoDB = MongoDB()
self.baseDir = None
self.shellcodes = set()
self.shellcode_urls = set()
def set_url(self, url):
self.MAEC.set_url(url)
self.MongoDB.set_url(url)
def add_behavior_warn(self, description = None, cve = None, method = "Dynamic Analysis"):
self.MAEC.add_behavior_warn(description, cve, method)
def add_code_snippet(self, snippet, language, relationship, method = "Dynamic Analysis"):
self.MAEC.add_code_snippet(snippet, language, relationship, method)
def log_file(self, data, url):
sample = self.build_sample(data, url)
if sample is None:
return
self.HPFeeds.log_file(sample)
self.MAEC.log_file(sample)
self.MongoDB.log_file(sample)
def log_event(self):
log.warning("Saving log analysis at %s" % (self.baseDir, ))
with open(os.path.join(self.baseDir, 'analysis.xml'), 'a+r') as fd:
self.MAEC.export(outfile = fd)
fd.seek(0)
data = fd.read()
self.HPFeeds.log_event(data)
self.MongoDB.log_event(data)
def log_redirect(self, response):
if not response:
return
redirects = list()
r = response
while r.previous:
redirects.append(r.previous)
r = r.previous
while len(redirects):
p = redirects.pop()
self.add_behavior_warn("[HTTP Redirection (Status: %s)] Content-Location: %s --> Location: %s" % (p['status'],
p['content-location'],
p['location'], ))
def log_href_redirect(self, referer, url):
self.add_behavior_warn("[HREF Redirection (document.location)] Content-Location: %s --> Location: %s" % (referer, url, ))
def set_basedir(self, url):
if self.baseDir:
return
t = datetime.datetime.now()
m = hashlib.md5()
m.update(url)
base = os.getenv('THUG_LOGBASE', '..')
self.baseDir = os.path.join(base, 'logs', m.hexdigest(), t.strftime("%Y%m%d%H%M%S"))
try:
os.makedirs(self.baseDir)
except OSError as e:
if e.errno == errno.EEXIST:
pass
else:
raise
with open(os.path.join(base, 'logs', 'thug.csv'), 'a+r') as fd:
csv_line = '%s,%s\n' % (m.hexdigest(), url, )
for l in fd.readlines():
if l == csv_line:
return
fd.write(csv_line)
def set_absbasedir(self, basedir):
self.baseDir = basedir
try:
os.makedirs(self.baseDir)
except OSError as e:
if e.errno == errno.EEXIST:
pass
else:
raise
def search_places_for_city(city_id: str = None,
limit: int = None,
use_last_cursor: bool = True):
cursor_property = 'places_search_cursor'
city_collection = MongoDB.db()['cities']
places_collection = MongoDB.db()['places']
query = {}
if city_id is not None:
query['_id'] = bson.objectid.ObjectId(city_id)
for city in city_collection.find(query):
cursor = None
if use_last_cursor and cursor_property in city:
if city[cursor_property] is False:
continue
cursor = city[cursor_property]
print('Start searching places for %s' % city['name'])
counter = 0
searcher = Facebook.PlaceSearcherByCoordinates(
latitude=city['latitude'],
longitude=city['longitude'],
distance=20000,
fields=['name', 'location', 'category'],
next_cursor=cursor,
categories=[
Facebook.PlaceSearcherByCoordinates.
CATEGORY_ARTS_ENTERTAINMENT,
Facebook.PlaceSearcherByCoordinates.CATEGORY_EDUCATION,
Facebook.PlaceSearcherByCoordinates.
CATEGORY_FITNESS_RECREATION,
Facebook.PlaceSearcherByCoordinates.CATEGORY_HOTEL_LODGING,
Facebook.PlaceSearcherByCoordinates.
CATEGORY_MEDICAL_HEALTH, Facebook.
PlaceSearcherByCoordinates.CATEGORY_SHOPPING_RETAIL,
Facebook.PlaceSearcherByCoordinates.
CATEGORY_TRAVEL_TRANSPORTATION,
Facebook.PlaceSearcherByCoordinates.CATEGORY_FOOD_BEVERAGE
])
while limit is None or counter < limit:
places, cursor = searcher.next()
for place in places:
if not places_collection.find_one({'uid': place.uid}):
place_city_id = city['_id']
if place.is_city():
place_city = city_collection.find_one(
{'uid': place.uid})
if not place_city:
place_city_id = city_collection.insert_one({
'city_id':
place.uid,
'uid':
place.uid,
'name':
place.name,
'city_local_name':
place.name,
'latitude':
place.latitude,
'longitude':
place.longitude
}).inserted_id
else:
place_city_id = place_city['_id']
place = place.__dict__
place['city_id'] = place_city_id
place['location'] = {
'type': 'Point',
'coordinates':
[place['longitude'], place['latitude']]
}
places_collection.insert_one(place)
print("Place `%s` was added to `%s`" %
(place['name'], city['name']))
counter += 1
city_collection.update_one({'_id': city['_id']},
{'$set': {
cursor_property: cursor
}})
print('Found %d places of %d' %
(counter, limit if limit is not None else -1))
if cursor is False:
break
def wrapper(func, *args, **kwargs):
mongo = MongoDB()
mongo.connect(app.config['app.mongohost'])