def __init__(self):
self.base_url = "https://weixin.sogou.com/weixin"
self.keyword = KEY
self.headers = {
'Accept':
'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;'
'q=0.8,application/signed-exchange;v=b3',
'Accept-Encoding':
'gzip, deflate, br',
'Accept-Language':
'zh-CN,zh;q=0.9',
'Cache-Control':
'max-age=0',
'Connection':
'keep-alive',
'Cookie':
COOKIES,
'Host':
'weixin.sogou.com',
'Upgrade-Insecure-Requests':
'1',
'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/73.0.3683.86 Safari/537.36',
}
self.session = Session()
self.queue = RedisQueue()
self.mysql = Mysql()
class RedisQueueWorker(object):
def __init__(self,
redis_mgr,
service_name,
custom_key,
func_name,
callback_to_main_thread=False):
self.service_name = service_name
self.func_name = func_name
self.redis_queue = RedisQueue(redis_mgr)
self.custom_key = custom_key
self.redis_queue.subscribe(self.service_name, custom_key)
self.callback_to_main_thread = callback_to_main_thread
def _real_start(self):
while True:
try:
item = self.redis_queue.get(self.custom_key)
if self.callback_to_main_thread:
IOLoop.instance().add_callback(self.func_name, item)
else:
self.func_name(item)
except Exception, e:
logger.warn("start_work error:%s not found msg", e.message)
time.sleep(1)
def main():
with RecordsDB() as records_db:
records_parser = RecordsParser(records_db)
with CountriesDB() as countries_db:
queue = RedisQueue(name='jobs',
namespace='queue',
decode_responses=True)
job_in_json = queue.wait_and_dequeue()
while job_in_json is not None:
job = json.loads(job_in_json)
country_id = job['country_id']
country_name = countries_db.get_country_from_id(country_id)
num_records = job['num_records']
if country_name is None:
raise Exception("Country name cannot be None!")
records_parser.get_records(country=country_name,
country_id=country_id,
max_records=num_records)
job_in_json = queue.wait_and_dequeue()
class RedisPublisher(object):
def __init__(self, topic, host='localhost', port=6379, db=0):
self.rqueue = RedisQueue(topic, 1, host=host, port=port, db=db)
def redis_send_pyobj(self, obj):
self.rqueue.put_and_trim(pkl.dumps(obj))
def redis_send(self, msg):
self.rqueue.put_and_trim(msg)
def populate_job_queue():
queue = RedisQueue('jobs')
with CountriesDB() as countries_db:
countries = countries_db.get_countries()
for country in countries:
job = {'country_id': country[0], 'num_records': 5000}
job_in_json = json.dumps(job)
queue.enqueue(job_in_json)
def __init__(self, status_queue, config, stop_event):
super().__init__()
self.energy_data_queue = RedisQueue('normal')
self.status_queue = status_queue
self.reader = self.init_reader()
self.solar_ip = config['solar_ip']
self.solar_url = self.solar_ip + config['solar_url']
self.stop_event = stop_event
self.console_mode = True if config["console_mode"] == "true" else False
def __init__(self):
self.trigger = False
self.result_queue = RedisQueue(Config.UP_QUEUE_NAME)
self.command_queue = RedisQueue(Config.DOWN_QUEUE_NAME)
self.port = serial.Serial("/dev/ttyS0",
9600,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
bytesize=serial.EIGHTBITS,
timeout=Config.SERIAL_WAIT)
self.start()
def __init__(self, stop_event):
super().__init__()
self.energy_data_queue = RedisQueue('normal')
self.stop_event = stop_event
self.default_message = self.get_default_message()
self.total_usage = random.randint(1000, 5000)
self.total_redelivery = random.randint(1000, 5000)
self.total_solar = random.randint(1000, 5000)
self.total_gas = random.randint(1000, 5000)
class RedisSubscriber(object):
def __init__(self, topic, host='localhost', port=6379, db=0):
self.rqueue = RedisQueue(topic, 1, host=host, port=port, db=db)
def redis_recv_pyobj(self, blocking=True):
item = self.rqueue.get(isBlocking=blocking)
if item is None:
return None
return pkl.loads(item)
def redis_recv(self, blocking=True):
return self.rqueue.get(isBlocking=blocking)
def __init__(self,
redis_mgr,
service_name,
custom_key,
func_name,
callback_to_main_thread=False):
self.service_name = service_name
self.func_name = func_name
self.redis_queue = RedisQueue(redis_mgr)
self.custom_key = custom_key
self.redis_queue.subscribe(self.service_name, custom_key)
self.callback_to_main_thread = callback_to_main_thread
def __init__(self, thread_index, global_network):
self.thread_index = thread_index
self.local_network = global_network
self.game_state = GameState()
self.local_t = 0
# for log
self.episode_reward = 0.0
self.episode_start_time = 0.0
self.prev_local_t = 0
self.rq = RedisQueue(REDIS_QUEUE_NAME)
return
def __init__(self, time_execution_in_sec, chart_title, slave, *args,
**kwargs):
super(MyTaskSet, self).__init__(time_execution_in_sec, chart_title,
slave, *args, **kwargs)
self.running = True
self.slave = slave
self.code = None
self.queue_chart = RedisQueue(name="data_chart",
namespace="data_chart")
self.queue_tasks = RedisQueue(name="data_tasks",
namespace="data_tasks")
self.chart = ReportCharts(time_execution_in_sec, chart_title,
self.slave)
self.db = create_engine(self.config["database"]["db_string"])
def __init__(self, status_queue, stop_event, config):
super(Sender, self).__init__()
self.normal_data_queue = RedisQueue('normal')
self.retry_data_queue = RedisQueue('retry')
self.status_queue = status_queue
self.stop_event = stop_event
self.base_url = config["api_url"]
self.key = config["key"]
self.store_energy_url = self.base_url + "/v2/energy"
self.backup_file = "backup"
self.console_mode = True if config["console_mode"] == "true" else False
self.connected = False
class WebServerClass(BaseHTTPRequestHandler):
def __init__(self, *args, **kwargs):
self.singleton = Singleton()
self.queue_chart = RedisQueue(name="data_chart",
namespace="data_chart")
super(WebServerClass, self).__init__(*args, **kwargs)
def _set_headers(self):
self.send_response(200)
self.send_header('Content-type', 'text/html')
self.end_headers()
def do_GET(self):
if self.path == "/":
self.path = self.singleton.template_path
self._set_headers()
f = open(self.singleton.template_path, "rb")
self.wfile.write(f.read())
f.close()
while True:
data = self.queue_chart.get().decode("utf-8")
data = data.replace("\'", "\"")
data = json.loads(data)
if data:
self.wfile.write(
"<script type=\"text/javascript\">AddDataChart(chart_id={}, data={});</script>"
.format( # noqa
data["chart_id"],
data["data"]).encode(encoding='utf_8'))
return
def main():
comment_queue = RedisQueue('reddit-book-stream',
host=REDIS_HOST,
port=REDIS_PORT)
reddit = praw.Reddit(user_agent=USER_AGENT,
client_id=CLIENT_ID,
client_secret=CLIENT_SECRET,
username=USERNAME,
password=PASSWORD)
# stream comments from r/all, pasue_after < 0 allows faster streaming
for comment in reddit.subreddit('all').stream.comments(pause_after=-1):
if comment and mentions_book(comment.body):
comment_queue.put(comment.id)
print(comment.id)
print(f'reddit.com/api/info?id=t1_{comment.id}')
def main():
rq = RedisQueue('reddit-book-stream', host=REDIS_HOST, port=REDIS_PORT)
reddit = praw.Reddit(user_agent=USER_AGENT,
client_id=CLIENT_ID,
client_secret=CLIENT_SECRET,
username=USERNAME,
password=PASSWORD)
def __init__(self, url):
self.queue = RedisQueue('zhihu', host='localhost', port=6379, db=0)
self.url = url
self.headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36"
, "Host":"www.zhihu.com"
, "Refer":"www.zhihu.com"
, "Accept-Language":"zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4"
, "Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8"
, "Accept-Encoding":"gzip, deflate, sdch, br"
, "Cache-Control":"max-age=0"
, "Connection":"keep-alive"}
#cookie
self.cookies={"_zap":"aaf2a75d-0a1b-4863-b8a0-23ff0f4a9002"
, "_za":"e73a8db5-0824-4c36-b6a2-7a5378a046f7"
, "udid":'"AFAAY31blAmPTta9QIqu7S6lUdEK97RWDgg=|1457941793"'
, "d_c0":'"AGBAzqyTowmPTpYh7UrYZSjcr43LFX006Tw=|1461248461"'
, "_zap":"267bc327-098d-4d7c-85cb-3cfd13cd2e8e"
, "q_c1":"3b3a3dccecf1499ea32a0b2da9be35ec|1470149980000|1445741536000"
, "_xsrf":"8a812fd7745e54a8e8ab4ed815fa9001"
, "l_cap_id":'"YzQ3YzNhNzUxZjBlNDAzNTgwM2FhNzdlODI5NjAxZjY=|1472298711|d67a5a1c7e5fb41cfe2715e389c74ebc6132007d"'
, "cap_id":'"ZGQwYTE0MTM3ODk0NDUzOGFkM2RiNGYxYTNmYTc1YTM=|1472298711|8fd9f406e4786a9ca56227b61e7c6a2a5c0f4b42"'
, "login":'******'
, "n_c":'1'
, "s-t":"autocomplete"
, "s-q":"volley%2Cretrofit%2Cokhttp"
, "s-i":"1"
, "sid":"6vahoruo"
, "a_t":'"2.0AEAAukjbcgoXAAAATjPpVwBAALpI23IKAGBAzqyTowkXAAAAYQJVTfYL6VcAoZ3PJyuvTIR4Yl3RS9B_tCnMwHxnX7iDfjl2Ve7xk-Nk6RdV68h4_A=="'
, "z_c0":"Mi4wQUVBQXVramJjZ29BWUVET3JKT2pDUmNBQUFCaEFsVk45Z3ZwVndDaG5jOG5LNjlNaEhoaVhkRkwwSC0wS2N6QWZB|1472308814|21bb41cc3844239f4582374fc850ced4a5e8c564"
, "__utma":"51854390.226515891.1472287250.1472298703.1472307196.4"
, "__utmc":"51854390"
, "__utmz":"51854390.1472296126.2.2.utmcsr=google|utmccn=(organic)|utmcmd=organic|utmctr=(not%20provided)"
, "__utmv":"51854390.100--|2=registration_date=20160827=1^3=entry_date=20151025=1"}
def __init__(self):
self.command_queue = RedisQueue(Config.DOWN_QUEUE_NAME)
self.result_queue = RedisQueue(Config.UP_QUEUE_NAME)
self.socket = websocket.WebSocketApp(HOST,
on_open=self.on_open,
on_message=self.on_message,
on_error=self.on_error,
on_close=self.on_close)
while True:
try:
self.socket.run_forever(ping_interval=100)
except:
pass
time.sleep(5)
class SerialWorker:
def __init__(self):
self.trigger = False
self.result_queue = RedisQueue(Config.UP_QUEUE_NAME)
self.command_queue = RedisQueue(Config.DOWN_QUEUE_NAME)
self.port = serial.Serial("/dev/ttyS0",
9600,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
bytesize=serial.EIGHTBITS,
timeout=Config.SERIAL_WAIT)
self.start()
def start(self):
while True:
self.executeTask()
time.sleep(Config.SERIAL_CYC)
def executeTask(self):
GPIO.output(Config.EN_485, GPIO.HIGH)
command = self.command_queue.get_nowait()
if not command:
self.trigger = not self.trigger
if self.trigger:
command = DEFAULT_COMMAND
else:
command = DEFAULT_COMMAND2
print 'write to 485 %s' % command
command = CommandHelper.toWriteable(command)
self.port.write(command)
while self.port.out_waiting > 0:
time.sleep(0.01)
GPIO.output(Config.EN_485, GPIO.LOW)
result = self.port.readall()
if result:
result = CommandHelper.toReadable(result)
print 'receive from 485 %s' % result
self.result_queue.put(result)
def __init__(self):
self.device = '/gpu:0' if USE_GPU else '/cpu:0'
self.stop_requested = False
self.global_t = 0
if USE_LSTM:
self.global_network = A3CLSTMNetwork(STATE_DIM, STATE_CHN, ACTION_DIM, self.device, -1)
else:
self.global_network = A3CFFNetwork(STATE_DIM, STATE_CHN, ACTION_DIM, self.device)
self.global_network.create_loss(ENTROPY_BETA)
self.initial_learning_rate = log_uniform(INITIAL_ALPHA_LOW, INITIAL_ALPHA_HIGH, INITIAL_ALPHA_LOG_RATE)
print 'initial_learning_rate:', self.initial_learning_rate
self.learning_rate_input = tf.placeholder('float')
self.optimizer = tf.train.RMSPropOptimizer(learning_rate=self.learning_rate_input,
decay=RMSP_ALPHA, momentum=0.0, epsilon=RMSP_EPSILON)
grads_and_vars = self.optimizer.compute_gradients(
self.global_network.total_loss, self.global_network.get_vars())
self.apply_gradients = self.optimizer.apply_gradients(grads_and_vars)
self.actor_threads = []
for i in range(PARALLEL_SIZE):
actor_thread = A3CActorThread(i, self.global_network)
self.actor_threads.append(actor_thread)
self.sess = tf.InteractiveSession()
self.sess.run(tf.initialize_all_variables())
self.reward_input = tf.placeholder(tf.float32)
tf.scalar_summary('reward', self.reward_input)
self.time_input = tf.placeholder(tf.float32)
tf.scalar_summary('living_time', self.time_input)
self.summary_op = tf.merge_all_summaries()
self.summary_writer = tf.train.SummaryWriter(LOG_FILE, self.sess.graph)
self.saver = tf.train.Saver()
self.restore()
self.lock = threading.Lock()
self.rq = RedisQueue(REDIS_QUEUE_NAME)
self.train_count = 0
return
class RedisQueueSender(object):
executor = ThreadPoolExecutor(2)
def __init__(self, redis_mgr):
self.redis_mgr = redis_mgr
self.queue = RedisQueue(redis_mgr)
@run_on_executor
def send(self, service_name, data):
return self.queue.send_msg(service_name, data)
def __init__(self, name, collector):
if SCHEDULER_PERSIST: # 如果使用分布式或者是持久化，使用redis的队列
self.queue = RedisQueue(name=name)
self._filter_container = RedisFilterContainer(
) # 使用redis作为python的去重的容器
else:
self.queue = Queue()
self._filter_container = NoramlFilterContainer(
) # 使用Python的set()集合
# 统计重复的数量
self.collector = collector
async def main():
msg = "stockx 爬虫 Starting!"
print(msg)
logging.info(msg)
q = RedisQueue('rq')
# 建立 client request
async with aiohttp.ClientSession() as client:
for k, v in URL.items():
for page in range(1, 25):
api_url = DOMAIN + v + str(page)
task = asyncio.create_task(spiderList(client, api_url, q))
await asyncio.sleep(10)
done, pending = await asyncio.wait({task})
if task in done:
print('[爬取完成]所有爬取进程已经全部完成')
logging.info("[爬取完成]所有爬取进程已经全部完成")
def test_failure(self):
qkey = 'test:failure:queue'
tid = '12'
rq = RedisQueue(self.rc, 1, 2)
self.rc.lpush(qkey, tid)
tid0 = rq.safe_pop(qkey)
self.assertEqual(tid, tid0)
## Popping another task too fast, before the task timeout has been
## reached.
tid1 = rq.safe_pop(qkey)
self.assertIsNone(tid1)
## Supposing the worker had died before finishing the task, we can take
## it again after the task timeout.
time.sleep(2)
tid2 = rq.safe_pop(qkey)
self.assertEqual(tid, tid2)
## Marking the task as done should make impossible to retrieve the same
## task.
rq.mark_done(qkey, tid2)
time.sleep(2)
tid3 = rq.safe_pop(qkey)
self.assertIsNone(tid3)
self.rc.delete(qkey, "%s:done" % qkey)
async def main(loop):
print("开始爬虫")
# 等待mysql连接好
pool = await aiomysql.create_pool(host=conf.database['host'],
port=conf.database['port'],
user=conf.database['user'],
password=conf.database['passwd'],
db=conf.database['db'],
loop=loop)
q = RedisQueue('rq')
for k, v in URL.items():
for page in range(30):
api_url = DOMAIN + v + str(page)
task = asyncio.create_task(spiderList(pool, api_url, q))
await asyncio.sleep(1)
done, pending = await asyncio.wait({task})
if task in done:
print('[爬取完成]所有爬取进程已经全部完成')
logging.info("[爬取完成]所有爬取进程已经全部完成")
class A3CActorThread(object):
def __init__(self, thread_index, global_network):
self.thread_index = thread_index
self.local_network = global_network
self.game_state = GameState()
self.local_t = 0
# for log
self.episode_reward = 0.0
self.episode_start_time = 0.0
self.prev_local_t = 0
self.rq = RedisQueue(REDIS_QUEUE_NAME)
return
def choose_action(self, policy_output):
if random.random() < RANDOM_ACTION_PROBILITY:
return random.randint(0, ACTION_DIM - 1)
values = []
sum = 0.0
for rate in policy_output:
sum += rate
values.append(sum)
r = random.random() * sum
for i in range(len(values)):
if values[i] >= r:
return i
return len(values) - 1
def _record_log(self, sess, global_t, summary_writer, summary_op,
reward_input, reward, time_input, living_time):
summary_str = sess.run(summary_op,
feed_dict={
reward_input: reward,
time_input: living_time
})
summary_writer.add_summary(summary_str, global_t)
return
def process(self, sess, global_t, summary_writer, summary_op, reward_input,
time_input):
states = []
actions = []
rewards = []
values = []
terminal_end = False
# reduce the influence of socket connecting time
if self.episode_start_time == 0.0:
self.episode_start_time = timestamp()
start_local_t = self.local_t
for i in range(LOCAL_T_MAX):
policy_, value_ = self.local_network.run_policy_and_value(
sess, self.game_state.s_t)
if self.thread_index == 0 and self.local_t % 1000 == 0:
print 'policy=', policy_
print 'value=', value_
action_id = self.choose_action(policy_)
states.append(self.game_state.s_t)
actions.append(action_id)
values.append(value_)
self.game_state.process(action_id)
reward = self.game_state.reward
terminal = self.game_state.terminal
self.episode_reward += reward
rewards.append(reward)
self.local_t += 1
# s_t1 -> s_t
self.game_state.update()
if terminal:
terminal_end = True
episode_end_time = timestamp()
living_time = episode_end_time - self.episode_start_time
self._record_log(sess, global_t, summary_writer, summary_op,
reward_input, self.episode_reward, time_input,
living_time)
print("global_t=%d / reward=%.2f / living_time=%.4f") % (
global_t, self.episode_reward, living_time)
# reset variables
self.episode_reward = 0.0
self.episode_start_time = episode_end_time
self.game_state.reset()
if USE_LSTM:
self.local_network.reset_lstm_state()
break
# log
if self.local_t % 2000 == 0:
living_time = timestamp() - self.episode_start_time
self._record_log(sess, global_t, summary_writer, summary_op,
reward_input, self.episode_reward, time_input,
living_time)
# -----------end of batch (LOCAL_T_MAX)--------------------
R = 0.0
if not terminal_end:
R = self.local_network.run_value(sess, self.game_state.s_t)
# print ('global_t: %d, R: %f') % (global_t, R)
states.reverse()
actions.reverse()
rewards.reverse()
values.reverse()
batch_state = []
batch_action = []
batch_td = []
batch_R = []
for (ai, ri, si, Vi) in zip(actions, rewards, states, values):
R = ri + GAMMA * R
td = R - Vi
action = np.zeros([ACTION_DIM])
action[ai] = 1
batch_state.append(si)
batch_action.append(action)
batch_td.append(td)
batch_R.append(R)
# put in into redis queue for asychronously train
data = cPickle.dumps((si, action, td, R))
self.rq.put(data)
diff_local_t = self.local_t - start_local_t
return diff_local_t
# -*- coding:utf-8 -*-
__author__ = '张全亮'
import requests
import urllib3
import math
import time
import datetime
from multiprocessing.dummy import Pool
import hashlib
urllib3.disable_warnings()
from logger import Logger
from redis_queue import RedisQueue
yz = RedisQueue('yz')
yz_rec = RedisQueue('yz_rec')
logger = Logger()
"""校验订单规则，每页查找订单,找到符合条件的结束翻页查找"""
def check_pay(order_sn, pdduid, kdtsessionid):
cookie = 'KDTSESSIONID={}'.format(kdtsessionid)
firsr_url = 'https://h5.youzan.com/v2/trade/order/list.json?perpage=20&page=1&type=all'
headers = {
"User-Agent":
"Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.76 Mobile Safari/537.36",
'Cookie': cookie
}
res = requests.get(firsr_url, headers=headers, verify=False)
if '页面已被删除' in res.text:
#!/usr/bin/env python
# coding:utf-8
# Copyright (C) dirlt
from redis_queue import RedisQueue
command_queue = RedisQueue('command')
command_queue.put('trigger')
import datetime
from mysql_db import db_insert
from flask import Flask, jsonify, request, redirect, render_template
from redis_queue import RedisQueue
app = Flask(__name__)
# 下单部分
from pdd_spider import pdd_main
from yz_spider import yz_main
# 查询部分
from pdd_query import pdd_pass_query
from yz_query import yz_pass_query
pdd = RedisQueue('pdd')
yz = RedisQueue('yz')
"""拼多多下单爬虫"""
def pdd_spider(pdduid, accesstoken, goods_url, amount, order_number):
result = pdd_main(pdduid, accesstoken, goods_url, amount, order_number)
return result
"""有赞下单爬虫"""
def yz_spider(pdduid, kdtsessionid, goods_url, amount, order_number):
result = yz_main(pdduid, kdtsessionid, goods_url, amount, order_number)
def add_job_to_queue(country_id, num_records):
queue = RedisQueue('jobs')
job = {'country_id': country_id, 'num_records': num_records}
job_in_json = json.dumps(job)
queue.enqueue(job_in_json)
class A3C(object):
def __init__(self):
self.device = '/gpu:0' if USE_GPU else '/cpu:0'
self.stop_requested = False
self.global_t = 0
if USE_LSTM:
self.global_network = A3CLSTMNetwork(STATE_DIM, STATE_CHN, ACTION_DIM, self.device, -1)
else:
self.global_network = A3CFFNetwork(STATE_DIM, STATE_CHN, ACTION_DIM, self.device)
self.global_network.create_loss(ENTROPY_BETA)
self.initial_learning_rate = log_uniform(INITIAL_ALPHA_LOW, INITIAL_ALPHA_HIGH, INITIAL_ALPHA_LOG_RATE)
print 'initial_learning_rate:', self.initial_learning_rate
self.learning_rate_input = tf.placeholder('float')
self.optimizer = tf.train.RMSPropOptimizer(learning_rate=self.learning_rate_input,
decay=RMSP_ALPHA, momentum=0.0, epsilon=RMSP_EPSILON)
grads_and_vars = self.optimizer.compute_gradients(
self.global_network.total_loss, self.global_network.get_vars())
self.apply_gradients = self.optimizer.apply_gradients(grads_and_vars)
self.actor_threads = []
for i in range(PARALLEL_SIZE):
actor_thread = A3CActorThread(i, self.global_network)
self.actor_threads.append(actor_thread)
self.sess = tf.InteractiveSession()
self.sess.run(tf.initialize_all_variables())
self.reward_input = tf.placeholder(tf.float32)
tf.scalar_summary('reward', self.reward_input)
self.time_input = tf.placeholder(tf.float32)
tf.scalar_summary('living_time', self.time_input)
self.summary_op = tf.merge_all_summaries()
self.summary_writer = tf.train.SummaryWriter(LOG_FILE, self.sess.graph)
self.saver = tf.train.Saver()
self.restore()
self.lock = threading.Lock()
self.rq = RedisQueue(REDIS_QUEUE_NAME)
self.train_count = 0
return
def restore(self):
checkpoint = tf.train.get_checkpoint_state(CHECKPOINT_DIR)
if checkpoint and checkpoint.model_checkpoint_path:
self.saver.restore(self.sess, checkpoint.model_checkpoint_path)
print("checkpoint loaded:", checkpoint.model_checkpoint_path)
tokens = checkpoint.model_checkpoint_path.split("-")
# set global step
self.global_t = int(tokens[1])
print(">>> global step set: ", self.global_t)
else:
print("Could not find old checkpoint")
return
def backup(self):
if not os.path.exists(CHECKPOINT_DIR):
os.mkdir(CHECKPOINT_DIR)
self.saver.save(self.sess, CHECKPOINT_DIR + '/' + 'checkpoint', global_step=self.global_t)
return
def predict_function(self, parallel_index, lock):
actor_thread = self.actor_threads[parallel_index]
while True:
if self.stop_requested or (self.global_t > MAX_TIME_STEP):
break
diff_global_t = actor_thread.process(
self.sess, self.global_t,
self.summary_writer, self.summary_op,
self.reward_input, self.time_input
)
self.global_t += diff_global_t
if self.global_t % 1000000 < LOCAL_T_MAX:
self.backup()
# print 'global_t:', self.global_t
return
def train_function(self, index, lock):
batch_state = []
batch_action = []
batch_td = []
batch_R = []
while True:
if self.stop_requested or (self.global_t > MAX_TIME_STEP):
break
data = self.rq.get()
(state, action, td, R) = cPickle.loads(data)
batch_state.append(state)
batch_action.append(action)
batch_td.append(td)
batch_R.append(R)
if len(batch_R) < BATCH_SIZE:
continue
lock.acquire()
self.sess.run(self.apply_gradients, feed_dict={
self.global_network.state_input: batch_state,
self.global_network.action_input: batch_action,
self.global_network.td: batch_td,
self.global_network.R: batch_R,
self.learning_rate_input: self.initial_learning_rate
})
self.train_count += 1
lock.release()
batch_state = []
batch_action = []
batch_td = []
batch_R = []
print 'train_index:', index, 'train_count:', self.train_count
return
def signal_handler(self, signal_, frame_):
print 'You pressed Ctrl+C !'
self.stop_requested = True
return
def run(self):
predict_treads = []
for i in range(PARALLEL_SIZE):
predict_treads.append(threading.Thread(target=self.predict_function, args=(i, self.lock)))
signal.signal(signal.SIGINT, self.signal_handler)
for t in predict_treads:
t.start()
train_threads = []
for i in range(TRAIN_SIZE):
train_threads.append(threading.Thread(target=self.train_function, args=(i, self.lock)))
train_threads[i].start()
print 'Press Ctrl+C to stop'
signal.pause()
print 'Now saving data....'
for t in predict_treads:
t.join()
for t in train_threads:
t.join()
self.backup()
return
class Zhihu_crawler():
def __init__(self, url):
self.queue = RedisQueue('zhihu', host='localhost', port=6379, db=0)
self.url = url
self.headers = {"User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36"
, "Host":"www.zhihu.com"
, "Refer":"www.zhihu.com"
, "Accept-Language":"zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4"
, "Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8"
, "Accept-Encoding":"gzip, deflate, sdch, br"
, "Cache-Control":"max-age=0"
, "Connection":"keep-alive"}
#cookie
self.cookies={"_zap":"aaf2a75d-0a1b-4863-b8a0-23ff0f4a9002"
, "_za":"e73a8db5-0824-4c36-b6a2-7a5378a046f7"
, "udid":'"AFAAY31blAmPTta9QIqu7S6lUdEK97RWDgg=|1457941793"'
, "d_c0":'"AGBAzqyTowmPTpYh7UrYZSjcr43LFX006Tw=|1461248461"'
, "_zap":"267bc327-098d-4d7c-85cb-3cfd13cd2e8e"
, "q_c1":"3b3a3dccecf1499ea32a0b2da9be35ec|1470149980000|1445741536000"
, "_xsrf":"8a812fd7745e54a8e8ab4ed815fa9001"
, "l_cap_id":'"YzQ3YzNhNzUxZjBlNDAzNTgwM2FhNzdlODI5NjAxZjY=|1472298711|d67a5a1c7e5fb41cfe2715e389c74ebc6132007d"'
, "cap_id":'"ZGQwYTE0MTM3ODk0NDUzOGFkM2RiNGYxYTNmYTc1YTM=|1472298711|8fd9f406e4786a9ca56227b61e7c6a2a5c0f4b42"'
, "login":'******'
, "n_c":'1'
, "s-t":"autocomplete"
, "s-q":"volley%2Cretrofit%2Cokhttp"
, "s-i":"1"
, "sid":"6vahoruo"
, "a_t":'"2.0AEAAukjbcgoXAAAATjPpVwBAALpI23IKAGBAzqyTowkXAAAAYQJVTfYL6VcAoZ3PJyuvTIR4Yl3RS9B_tCnMwHxnX7iDfjl2Ve7xk-Nk6RdV68h4_A=="'
, "z_c0":"Mi4wQUVBQXVramJjZ29BWUVET3JKT2pDUmNBQUFCaEFsVk45Z3ZwVndDaG5jOG5LNjlNaEhoaVhkRkwwSC0wS2N6QWZB|1472308814|21bb41cc3844239f4582374fc850ced4a5e8c564"
, "__utma":"51854390.226515891.1472287250.1472298703.1472307196.4"
, "__utmc":"51854390"
, "__utmz":"51854390.1472296126.2.2.utmcsr=google|utmccn=(organic)|utmcmd=organic|utmctr=(not%20provided)"
, "__utmv":"51854390.100--|2=registration_date=20160827=1^3=entry_date=20151025=1"}
def send_request(self):
#关注者的url
followees_url = self.url + '/followees'
session = requests.session()
session.proxies = {
"http": "http://124.88.67.17.251:8685",
"https": "http://223.67.136.218:8920",
}
#发起请求
#避免Https的证书验证
r = requests.get(followees_url, cookies = self.cookies, headers = self.headers, verify = True)
try:
r.raise_for_status()
except requests.HTTPError as e:
print e.message + ' HttpError'
except requests.ConnectionError as e:
print e.message
content = r.text
if r.status_code == requests.codes.ok:
self.parse_users_content(content)
print "requests success!"
#判断是否数据存在
def judge_data_have(self, name, datas):
if datas:
#print datas[0]
return datas[0]
else:
#print name + " not exist!"
return ''
#解析数据
def parse_users_content(self, html_source):
#初始化我们需要的信息变量
self.user_name=''
self.user_gender=''
self.user_location=''
self.user_followees=''
self.user_followers=''
self.user_be_agreed=''
self.user_be_thanked=''
self.user_education_school=''
self.user_education_subject=''
self.user_employment=''
self.user_employment_extra=''
self.user_intro=''
self.followees_urls=''
tree = etree.HTML(html_source)
self.user_name = self.judge_data_have("姓名", tree.xpath('//a[@class = "name"]/text()'))
self.user_location = self.judge_data_have("位置", tree.xpath('//span[@class = "location item"]/@title'))
self.user_gender = self.judge_data_have("性别", tree.xpath('//span[@class = "item gender"]/i/@class'))
if self.user_gender:
if 'female' in self.user_gender:
self.user_gender = 'female'
elif 'male' in self.user_gender:
self.user_gender = 'male'
followees = tree.xpath('//div[@class = "zu-main-sidebar"]//strong/text()')
if followees:
self.user_followees = tree.xpath('//div[@class = "zu-main-sidebar"]//strong/text()')[0]
self.user_followers = tree.xpath('//div[@class = "zu-main-sidebar"]//strong/text()')[1]
stats = tree.xpath('//div[@class = "zm-profile-header-info-list"]//strong/text()')
if stats:
self.user_be_agreed = tree.xpath('//div[@class = "zm-profile-header-info-list"]//strong/text()')[0]
self.user_be_thanked = tree.xpath('//div[@class = "zm-profile-header-info-list"]//strong/text()')[1]
self.user_education_school = self.judge_data_have("学校", tree.xpath('//span[@class = "education item"]/a/@title'))
self.user_education_subject = self.judge_data_have("学科", tree.xpath('//span[@class = "education-extra item"]/a/@title'))
self.user_employment = self.judge_data_have("公司", tree.xpath('//span[@class = "employment item"]/@title'))
self.user_employment_extra = self.judge_data_have("公司", tree.xpath('//span[@class = "position item"]/@title'))
self.user_intro = self.judge_data_have("简介", tree.xpath('//div[@class = "bio ellipsis"]/@title'))
#添加到队列里面
self.followees_urls = tree.xpath('//a[@class = "zg-link author-link"]/@href')
for url in self.followees_urls:
#url = url.replace("https", "http")
self.queue.put(url)
self.print_data_out()
#打印最终信息
def print_data_out(self):
print "*"*60
print "用户名:%s".decode('utf-8') % self.user_name
print "用户性别:%s".decode('utf-8') % self.user_gender
print "用户地址:%s".decode('utf-8') % self.user_location
print "被同意:%s".decode('utf-8') % self.user_be_agreed
print "被感谢:%s".decode('utf-8') % self.user_be_thanked
print "被关注:%s".decode('utf-8') % self.user_followers
print "关注了:%s".decode('utf-8') % self.user_followees
print "工作:%s/%s".decode('utf-8') % (self.user_employment,self.user_employment_extra)
print "教育:%s/%s".decode('utf-8') % (self.user_education_school,self.user_education_subject)
print "用户信息:%s".decode('utf-8') % self.user_intro
print "*"*60
self.save_in_mongodb()
#存储到mongodb数据库里面
def save_in_mongodb(self):
new_data = Zhihu_User_Data(
user_name = self.user_name,
user_gender = self.user_gender,
user_location = self.user_location,
user_followees = self.user_followees,
user_followers = self.user_followers,
user_be_agreed = self.user_be_agreed,
user_be_thanked = self.user_be_thanked,
user_education_school = self.user_education_school,
user_education_subject = self.user_education_subject,
user_employment = self.user_employment,
user_employment_extra = self.user_employment_extra,
user_intro = self.user_intro,
followees_urls = self.followees_urls
)
new_data.save()
#返回队列
def get_queue(self):
return self.queue
def push_to_queue(queue_name, items):
queue = RedisQueue(queue_name)
for item in items:
queue.put(item)