def show_task_lists(r: Redis) -> None:
f = open(f'proactive_stats/stats.txt', "w+")
todo = []
todo = r.lrange(name=TODO_TASK_LIST, start=0, end=-1)
done = []
done = r.lrange(name=DONE_TASK_LIST, start=0, end=-1)
string = f'To-do list:\n'
for i in todo:
string += f'{i}\n'
string += f'\nDone list:\n'
for i in done:
string += f'{i}\n'
f.write(string)
f.close()
def lrange(self, name, start, end):
"""
Return a slice of the list ``name`` between
position ``start`` and ``end``
``start`` and ``end`` can be negative numbers just like
Python slicing notation
decode the results
"""
results = Redis.lrange(self, name, start, end)
return [result.decode(self.encoding) for result in results]
class Jedis():
def __init__(self):
pool = ConnectionPool(host=cfg.REDIS_HOST, port=cfg.REDIS_PORT)
self.client = Redis(connection_pool=pool)
def page_query(self, redis_key, start, end):
'''
分页查询
:param redis_key: redis中的key名称
:param start:起始页
:param end:结束页
:return:
'''
return self.client.lrange(name=redis_key, start=start, end=end)
def len(self, redis_key):
return self.client.llen(name=redis_key)
def lpush(self, key, val):
self.client.lpush(key, val)
exit(0)
# import os
# print(os.listdir('../data-temp/'))
# exit(90)
# for key in red.keys('program-temp-*'):
# red.delete(key)
# exit(0)
id = 25241424977985538
count = 0
for key in red.keys():
value = None
if red.type(key) == b'set':
value = red.smembers(key)
if red.type(key) == b'list':
value = red.lrange(key, 0, -1)
count += len(value)
# for item in value:
# item = int(item)
# if item == id:
# print(key)
print(count)
exit(0)
l1 = [1, 2, 3, 4, 9, 10, 11, 12]
l2 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
for item1 in l1:
for item2 in l2:
j = judge_req_times()
is_req_danmaku(item2, item1, j)
# c = consumer()
# produce(c, item2, item1)
class TSStore(object):
def __init__(self, config):
self._redis = Redis(host=config.get('redis','host'),
port=int(config.get('redis','port')),
db=int(config.get('redis','db')))
self._delta_secs = int(eval(config.get('timeseries',
'delta_secs')))
self._expiration_delay_secs = int(eval(config.get('timeseries',
'expiration_delay_secs')))
def queries_key(self):
return 'queries'
@property
def queries(self):
return self._redis.smembers(self.queries_key())
@queries.setter
def queries(self, values):
pipe = self._redis.pipeline()
pipe.delete(self.queries_key())
for v in values:
pipe.sadd(self.queries_key(),
v)
return pipe.execute()
def _interval_key(self, timestamp):
return int(timestamp) - int(timestamp) % self._delta_secs
def _ts_key(self, timestamp, query):
return 'ts:%(query)s:%(timestamp_key)s'%{'query':query,
'timestamp_key':self._interval_key(timestamp)}
def _tweet_key(self, t):
if type(t) == Tweet:
return 'tweet:%s'%t.id
return 'tweet:%s'%t
def _query_key(self, query):
return 'query:%s:last_tweet_id'%query
def _store_tweet(self, pipe, tweet):
tweet_key = self._tweet_key(tweet)
pipe.set(tweet_key, tweet.serialize())
pipe.expire(tweet_key, self._expiration_delay_secs)
def _reference_tweet(self, pipe, timestamp, query, tweet):
ts_key = self._ts_key(timestamp, query)
pipe.lpush(ts_key,tweet.id)
pipe.expire(ts_key,self._expiration_delay_secs)
def _update_last_query_tweet(self, pipe, query, tweet):
query_key = self._query_key(query)
pipe.set(query_key,tweet.id)
def append(self, query, tweet):
pipe = self._redis.pipeline()
timestamp = time.time()
self._store_tweet(pipe, tweet)
self._reference_tweet(pipe, timestamp, query, tweet)
self._update_last_query_tweet(pipe, query, tweet)
return pipe.execute()
def retrieve_ts(self, query, timestamp, n_elements=-1):
ts_key = self._ts_key(timestamp, query)
return self._redis.lrange(ts_key, 0, n_elements)
def retrieve_last_tweet_id(self, query):
query_key = self._query_key(query)
return self._redis.get(query_key)
def retrieve_tweet(self, tweet_id):
tweet_key = self._tweet_key(tweet_id)
data = self._redis.get(tweet_key)
return Tweet.deserialize(data).todict()
def retrieve(self, query, n_periods=30):
current_timestamp = now = int(time.time())
start_timestamp = now - self._delta_secs * n_periods
tweets = []
while current_timestamp > start_timestamp:
current_tweet_ids = self.retrieve_ts(query, current_timestamp)
tweets.append({'timestamp': current_timestamp,
'tweets' : [ self.retrieve_tweet(tid) for tid in current_tweet_ids ] })
current_timestamp -= self._delta_secs
return { 'now' : now,
'ts' : tweets }