class BatchSpider(BatchParser, Scheduler):
def __init__(self,
task_table,
batch_record_table,
batch_name,
batch_interval,
task_keys,
task_state="state",
min_task_count=10000,
check_task_interval=5,
task_limit=10000,
related_table_folder=None,
related_batch_record=None,
task_condition="",
task_order_by="",
table_folder=None,
parser_count=None,
begin_callback=None,
end_callback=None,
delete_tabs=(),
process_num=None,
auto_stop_when_spider_done=None,
send_run_time=False,
*parser_args,
**parser_kwargs):
"""
@summary: 批次爬虫
必要条件
1、需有任务表
任务表中必须有id 及 任务状态字段 如 state。如指定parser_name字段，则任务会自动下发到对应的parser下, 否则会下发到所有的parser下。其他字段可根据爬虫需要的参数自行扩充
参考建表语句如下：
CREATE TABLE `table_name` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`param` varchar(1000) DEFAULT NULL COMMENT '爬虫需要的抓取数据需要的参数',
`state` int(11) DEFAULT NULL COMMENT '任务状态',
`parser_name` varchar(255) DEFAULT NULL COMMENT '任务解析器的脚本类名',
PRIMARY KEY (`id`),
UNIQUE KEY `nui` (`param`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
2、需有批次记录表 不存在自动创建
此表节结构固定，参考建表语句如下：
CREATE TABLE `xxx_batch_record` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`batch_date` date DEFAULT NULL,
`done_count` int(11) DEFAULT NULL,
`total_count` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;
---------
@param task_table: mysql中的任务表
@param batch_record_table: mysql 中的批次记录表
@param batch_name: 批次采集程序名称
@param batch_interval: 批次间隔 天为单位。 如想一小时一批次，可写成1/24
@param task_keys: 需要获取的任务字段 列表 [] 如需指定解析的parser，则需将parser_name字段取出来。
@param task_state: mysql中任务表的state字段名
@param min_task_count: redis 中最少任务数, 少于这个数量会从mysql的任务表取任务
@param check_task_interval: 检查是否还有任务的时间间隔；
@param task_limit: 数据库中取任务的数量
@param table_folder: 爬虫request及item存放reis中的文件夹
@param parser_count: 线程数，默认为配置文件中的线程数
@param begin_callback: 爬虫开始回调函数
@param end_callback: 爬虫结束回调函数
@param delete_tabs: 爬虫启动时删除的表，元组类型。 支持正则
@param process_num: 进程数
@param auto_stop_when_spider_done: 爬虫抓取完毕后是否自动结束或等待任务，默认自动结束
@param send_run_time: 发送运行时间
@param related_table_folder: 有关联的其他爬虫任务表（redis）
@param related_batch_record: 有关联的其他爬虫批次表（mysql）注意：要避免环路 如 A -> B & B -> A 。 环路可用related_table_folder指定
related_table_folder 与 related_batch_record 选其一配置即可。
若相关连的爬虫为批次爬虫，推荐以related_batch_record配置，
若相关连的爬虫为普通爬虫，无批次表，可以以related_table_folder配置
@param task_condition: 任务条件 用于从一个大任务表中挑选出数据自己爬虫的任务，及where后的条件语句
@param task_order_by: 取任务时的排序条件 如 id desc
@param *parser_args: 传给parser下start_requests的参数, tuple()
@param **parser_kwargs: 传给parser下start_requests的参数, dict()
---------
@result:
"""
Scheduler.__init__(
self,
table_folder=table_folder,
parser_count=parser_count,
begin_callback=begin_callback,
end_callback=end_callback,
delete_tabs=delete_tabs,
process_num=process_num,
auto_stop_when_spider_done=auto_stop_when_spider_done,
auto_start_requests=False,
send_run_time=send_run_time,
batch_interval=batch_interval,
*parser_args,
**parser_kwargs)
self._redisdb = RedisDB()
self._mysqldb = MysqlDB()
self._request_buffer = RequestBuffer(self._table_folder)
self._task_table = task_table # mysql中的任务表
self._batch_record_table = batch_record_table # mysql 中的批次记录表
self._batch_name = batch_name # 批次采集程序名称
self._task_keys = task_keys # 需要获取的任务字段
self._task_state = task_state # mysql中任务表的state字段名
self._min_task_count = min_task_count # redis 中最少任务数
self._check_task_interval = check_task_interval
self._task_limit = task_limit # mysql中一次取的任务数量
self._related_task_tables = [
setting.TAB_REQUSETS.format(table_folder=table_folder)
] # 自己的task表也需要检查是否有任务
if related_table_folder:
self._related_task_tables.append(
setting.TAB_REQUSETS.format(table_folder=related_table_folder))
self._related_batch_record = related_batch_record
self._task_condition_prefix_and = task_condition and " and {}".format(
task_condition)
self._task_condition_prefix_where = task_condition and " where {}".format(
task_condition)
self._task_order_by = task_order_by and " order by {}".format(
task_order_by)
self._batch_date_cache = None
if self._batch_interval >= 1:
self._date_format = "%Y-%m-%d"
elif self._batch_interval < 1 and self._batch_interval >= 1 / 24:
self._date_format = "%Y-%m-%d %H"
else:
self._date_format = "%Y-%m-%d %H:%M"
# 报警相关
self._send_msg_interval = datetime.timedelta(hours=1) # 每隔1小时发送一次报警
self._last_send_msg_time = None
self._spider_last_done_time = None # 爬虫最近已做任务数量时间
self._spider_last_done_count = 0 # 爬虫最近已做任务数量
self._spider_deal_speed_cached = None
self._is_more_parsers = True # 多模版类爬虫
def init_property(self):
"""
每个批次开始时需要重置的属性
@return:
"""
self._last_send_msg_time = None
self._spider_last_done_time = None
self._spider_last_done_count = 0 # 爬虫刚开始启动时已做任务数量
def add_parser(self, parser):
parser = parser(
self._task_table,
self._batch_record_table,
self._task_state,
self._date_format,
) # parser 实例化
self._parsers.append(parser)
def start_monitor_task(self):
"""
@summary: 监控任务状态
---------
---------
@result:
"""
if not self._parsers: # 不是多模版模式， 将自己注入到parsers，自己为模版
self._is_more_parsers = False
self._parsers.append(self)
elif len(self._parsers) <= 1:
self._is_more_parsers = False
self.create_batch_record_table()
# 添加任务
for parser in self._parsers:
parser.add_task()
is_first_check = True
while True:
try:
if self.check_batch(is_first_check): # 该批次已经做完
if not self._auto_stop_when_spider_done:
is_first_check = True
log.info("爬虫所有任务已做完，不自动结束，等待新任务...")
time.sleep(self._check_task_interval)
continue
else:
break
is_first_check = False
# 检查redis中是否有任务 任务小于_min_task_count 则从mysql中取
tab_requests = setting.TAB_REQUSETS.format(
table_folder=self._table_folder)
todo_task_count = self._redisdb.zget_count(tab_requests)
tasks = []
if todo_task_count < self._min_task_count: # 从mysql中取任务
# 更新batch表的任务状态数量
self.update_task_done_count()
log.info("redis 中剩余任务%s 数量过小 从mysql中取任务追加" %
todo_task_count)
tasks = self.get_todo_task_from_mysql()
if not tasks: # 状态为0的任务已经做完，需要检查状态为2的任务是否丢失
if (todo_task_count == 0
): # redis 中无待做任务，此时mysql中状态为2的任务为丢失任务。需重新做
lose_task_count = self.get_lose_task_count()
if not lose_task_count:
time.sleep(self._check_task_interval)
continue
elif (
lose_task_count > self._task_limit * 5
): # 丢失任务太多，直接重置，否则每次等redis任务消耗完再取下一批丢失任务，速度过慢
log.info("正在重置丢失任务为待做 共 {} 条".format(
lose_task_count))
# 重置正在做的任务为待做
if self.reset_lose_task_from_mysql():
log.info("重置丢失任务成功")
else:
log.info("重置丢失任务失败")
continue
else: # 丢失任务少，直接取
log.info("正在取丢失任务 共 {} 条, 取 {} 条".format(
lose_task_count,
self._task_limit
if self._task_limit <= lose_task_count else
lose_task_count,
))
tasks = self.get_doing_task_from_mysql()
else:
log.info("mysql 中取到待做任务 %s 条" % len(tasks))
else:
log.info("redis 中尚有%s条积压任务，暂时不派发新任务" % todo_task_count)
if not tasks:
if todo_task_count >= self._min_task_count:
# log.info('任务正在进行 redis中剩余任务 %s' % todo_task_count)
pass
else:
log.info("mysql 中无待做任务 redis中剩余任务 %s" %
todo_task_count)
else:
# make start requests
self.distribute_task(tasks)
log.info("添加任务到redis成功")
except Exception as e:
log.exception(e)
time.sleep(self._check_task_interval)
def create_batch_record_table(self):
sql = (
"select table_name from information_schema.tables where table_name like '%s'"
% self._batch_record_table)
tables_name = self._mysqldb.find(sql)
if not tables_name:
sql = """
CREATE TABLE `{table_name}` (
`id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT,
`batch_date` {batch_date} DEFAULT NULL COMMENT '批次时间',
`done_count` int(11) DEFAULT NULL COMMENT '完成数 (1,-1)',
`total_count` int(11) DEFAULT NULL COMMENT '任务总数',
`fail_count` int(11) DEFAULT NULL COMMENT '失败任务数 (-1)',
`interval` float(11) DEFAULT NULL COMMENT '批次间隔',
`interval_unit` varchar(20) DEFAULT NULL COMMENT '批次间隔单位 day, hour',
`create_time` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '批次开始时间',
`update_time` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '本条记录更新时间',
`is_done` int(11) DEFAULT '0' COMMENT '批次是否完成 0 未完成 1 完成',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;
""".format(
table_name=self._batch_record_table,
batch_date="date"
if self._date_format == "%Y-%m-%d" else "datetime",
)
self._mysqldb.execute(sql)
def distribute_task(self, tasks):
"""
@summary: 分发任务
---------
@param tasks:
---------
@result:
"""
if self._is_more_parsers: # 为多模版类爬虫，需要下发指定的parser
for task in tasks:
for parser in self._parsers: # 寻找task对应的parser
if parser.name in task:
requests = parser.start_requests(task)
if requests and not isinstance(requests, Iterable):
raise Exception("%s.%s返回值必须可迭代" %
(parser.name, "start_requests"))
result_type = 1
for request in requests or []:
if isinstance(request, Request):
request.parser_name = request.parser_name or parser.name
self._request_buffer.put_request(request)
result_type = 1
elif isinstance(request, Item):
self._item_buffer.put_item(request)
result_type = 2
if (self._item_buffer.get_items_count() >=
MAX_ITEM_COUNT):
self._item_buffer.flush()
elif callable(
request): # callbale的request可能是更新数据库操作的函数
if result_type == 1:
self._request_buffer.put_request(request)
else:
self._item_buffer.put_item(request)
if (self._item_buffer.get_items_count() >=
MAX_ITEM_COUNT):
self._item_buffer.flush()
else:
raise TypeError(
"start_requests yield result type error, expect Request、Item、callback func, bug get type: {}"
.format(type(requests)))
break
else: # task没对应的parser 则将task下发到所有的parser
for task in tasks:
for parser in self._parsers:
requests = parser.start_requests(task)
if requests and not isinstance(requests, Iterable):
raise Exception("%s.%s返回值必须可迭代" %
(parser.name, "start_requests"))
result_type = 1
for request in requests or []:
if isinstance(request, Request):
request.parser_name = request.parser_name or parser.name
self._request_buffer.put_request(request)
result_type = 1
elif isinstance(request, Item):
self._item_buffer.put_item(request)
result_type = 2
if self._item_buffer.get_items_count(
) >= MAX_ITEM_COUNT:
self._item_buffer.flush()
elif callable(
request): # callbale的request可能是更新数据库操作的函数
if result_type == 1:
self._request_buffer.put_request(request)
else:
self._item_buffer.put_item(request)
if (self._item_buffer.get_items_count() >=
MAX_ITEM_COUNT):
self._item_buffer.flush()
self._request_buffer.flush()
self._item_buffer.flush()
def __get_task_state_count(self):
sql = "select {state}, count(1) from {task_table}{task_condition} group by {state}".format(
state=self._task_state,
task_table=self._task_table,
task_condition=self._task_condition_prefix_where,
)
task_state_count = self._mysqldb.find(sql)
task_state = {
"total_count":
sum(count for state, count in task_state_count),
"done_count":
sum(count for state, count in task_state_count
if state in (1, -1)),
"failed_count":
sum(count for state, count in task_state_count if state == -1),
}
return task_state
def update_task_done_count(self):
"""
@summary: 更新批次表中的任务状态
---------
---------
@result:
"""
task_count = self.__get_task_state_count()
# log.info('《%s》 批次进度 %s/%s' % (self._batch_name, done_task_count, total_task_count))
# 更新批次表
sql = "update {} set done_count = {}, total_count = {}, fail_count = {}, update_time = CURRENT_TIME, is_done=0, `interval` = {}, interval_unit = '{}' where batch_date = '{}'".format(
self._batch_record_table,
task_count.get("done_count"),
task_count.get("total_count"),
task_count.get("failed_count"),
self._batch_interval
if self._batch_interval >= 1 else self._batch_interval * 24,
"day" if self._batch_interval >= 1 else "hour",
self.batch_date,
)
self._mysqldb.update(sql)
def update_is_done(self):
sql = "update {} set is_done = 1, update_time = CURRENT_TIME where batch_date = '{}' and is_done = 0".format(
self._batch_record_table, self.batch_date)
self._mysqldb.update(sql)
def get_todo_task_from_mysql(self):
"""
@summary: 取待做的任务
---------
---------
@result:
"""
# TODO 分批取数据 每批最大取 1000000个，防止内存占用过大
# 查询任务
sql = "select %s from %s where %s = 0%s%s limit %s" % (
", ".join(self._task_keys),
self._task_table,
self._task_state,
self._task_condition_prefix_and,
self._task_order_by,
self._task_limit,
)
tasks = self._mysqldb.find(sql)
if tasks:
# 更新任务状态
for i in range(0, len(tasks), 10000): # 10000 一批量更新
task_ids = str(tuple([task[0] for task in tasks[i:i + 10000]
])).replace(",)", ")")
sql = "update %s set %s = 2 where id in %s" % (
self._task_table,
self._task_state,
task_ids,
)
self._mysqldb.update(sql)
return tasks
def get_doing_task_from_mysql(self):
"""
@summary: 取正在做的任务
---------
---------
@result:
"""
# 查询任务
sql = "select %s from %s where %s = 2%s%s limit %s" % (
", ".join(self._task_keys),
self._task_table,
self._task_state,
self._task_condition_prefix_and,
self._task_order_by,
self._task_limit,
)
tasks = self._mysqldb.find(sql)
return tasks
def get_lose_task_count(self):
sql = 'select date_format(batch_date, "{date_format}"), total_count, done_count from {batch_record_table} order by id desc limit 1'.format(
date_format=self._date_format.replace(":%M", ":%i"),
batch_record_table=self._batch_record_table,
)
batch_info = self._mysqldb.find(sql) # (('2018-08-19', 49686, 0),)
batch_date, total_count, done_count = batch_info[0]
return total_count - done_count
def reset_lose_task_from_mysql(self):
"""
@summary: 重置丢失任务为待做
---------
---------
@result:
"""
sql = "update {table} set {state} = 0 where {state} = 2{task_condition}".format(
table=self._task_table,
state=self._task_state,
task_condition=self._task_condition_prefix_and,
)
return self._mysqldb.update(sql)
def get_deal_speed(self, total_count, done_count, last_batch_date):
"""
获取处理速度
@param total_count: 总数量
@param done_count: 做完数量
@param last_batch_date: 批次时间 datetime
@return:
deal_speed （条/小时）, need_time （秒）, overflow_time（秒） （ overflow_time < 0 时表示提前多少秒完成 )
或
None
"""
if not self._spider_last_done_count:
now_date = datetime.datetime.now()
self._spider_last_done_count = done_count
self._spider_last_done_time = now_date
if done_count > self._spider_last_done_count:
now_date = datetime.datetime.now()
time_interval = (now_date -
self._spider_last_done_time).total_seconds()
deal_speed = (done_count -
self._spider_last_done_count) / time_interval # 条/秒
need_time = (total_count - done_count) / deal_speed # 单位秒
overflow_time = (
(now_date - last_batch_date).total_seconds() + need_time -
datetime.timedelta(days=self._batch_interval).total_seconds()
) # 溢出时间 秒
calculate_speed_time = now_date.strftime(
"%Y-%m-%d %H:%M:%S") # 统计速度时间
deal_speed = int(deal_speed * 3600) # 条/小时
# 更新最近已做任务数及时间
self._spider_last_done_count = done_count
self._spider_last_done_time = now_date
self._spider_deal_speed_cached = (
deal_speed,
need_time,
overflow_time,
calculate_speed_time,
)
return self._spider_deal_speed_cached
def check_batch(self, is_first_check=False):
"""
@summary: 检查批次是否完成
---------
@param: is_first_check 是否为首次检查，若首次检查，且检查结果为批次已完成，则不发送批次完成消息。因为之前发送过了
---------
@result: 完成返回True 否则False
"""
sql = 'select date_format(batch_date, "{date_format}"), total_count, done_count from {batch_record_table} order by id desc limit 1'.format(
date_format=self._date_format.replace(":%M", ":%i"),
batch_record_table=self._batch_record_table,
)
batch_info = self._mysqldb.find(sql) # (('2018-08-19', 49686, 0),)
if batch_info:
batch_date, total_count, done_count = batch_info[0]
now_date = datetime.datetime.now()
last_batch_date = datetime.datetime.strptime(
batch_date, self._date_format)
time_difference = now_date - last_batch_date
if total_count == done_count and time_difference < datetime.timedelta(
days=self._batch_interval): # 若在本批次内，再次检查任务表是否有新增任务
# # 改成查询任务表 看是否真的没任务了，因为batch_record表里边的数量可能没来得及更新
task_count = self.__get_task_state_count()
total_count = task_count.get("total_count")
done_count = task_count.get("done_count")
if total_count == done_count:
# 检查相关联的爬虫是否完成
releated_spider_is_done = self.related_spider_is_done()
if releated_spider_is_done == False:
msg = "《{}》本批次未完成, 正在等待依赖爬虫 {} 结束. 批次时间 {} 批次进度 {}/{}".format(
self._batch_name,
self._related_batch_record
or self._related_task_tables,
batch_date,
done_count,
total_count,
)
log.info(msg)
# 检查是否超时 超时发出报警
if time_difference >= datetime.timedelta(
days=self._batch_interval): # 已经超时
if (not self._last_send_msg_time
or now_date - self._last_send_msg_time >=
self._send_msg_interval):
self._last_send_msg_time = now_date
self.send_msg(msg, level="error")
return False
elif releated_spider_is_done == True:
# 更新is_done 状态
self.update_is_done()
else:
self.update_is_done()
msg = "《{}》本批次完成 批次时间 {} 共处理 {} 条任务".format(
self._batch_name, batch_date, done_count)
log.info(msg)
if not is_first_check:
self.send_msg(msg)
# 判断下一批次是否到
if time_difference >= datetime.timedelta(
days=self._batch_interval):
msg = "《{}》下一批次开始".format(self._batch_name)
log.info(msg)
self.send_msg(msg)
# 初始化任务表状态
if self.init_task() != False: # 更新失败返回False 其他返回True/None
# 初始化属性
self.init_property()
is_success = (
self.record_batch()
) # 有可能插入不成功，但是任务表已经重置了，不过由于当前时间为下一批次的时间，检查批次是否结束时不会检查任务表，所以下次执行时仍然会重置
if is_success:
log.info(
"插入新批次记录成功 1分钟后开始下发任务") # 防止work批次时间没来得及更新
tools.delay_time(60)
return False # 下一批次开始
else:
return True # 下一批次不开始。先不派发任务，因为批次表新批次插入失败了，需要插入成功后再派发任务
else:
log.info("《{}》下次批次时间未到".format(self._batch_name))
if not is_first_check:
self.send_msg("《{}》下次批次时间未到".format(self._batch_name))
return True
else:
if time_difference >= datetime.timedelta(
days=self._batch_interval): # 已经超时
time_out = time_difference - datetime.timedelta(
days=self._batch_interval)
time_out_pretty = tools.format_seconds(
time_out.total_seconds())
msg = "《{}》本批次已超时{} 批次时间 {}, 批次进度 {}/{}".format(
self._batch_name,
time_out_pretty,
batch_date,
done_count,
total_count,
)
if self._batch_interval >= 1:
msg += ", 期望时间{}天".format(self._batch_interval)
else:
msg += ", 期望时间{}小时".format(self._batch_interval * 24)
result = self.get_deal_speed(
total_count=total_count,
done_count=done_count,
last_batch_date=last_batch_date,
)
if result:
deal_speed, need_time, overflow_time, calculate_speed_time = (
result)
msg += ", 任务处理速度于{}统计, 约 {}条/小时, 预计还需 {}".format(
calculate_speed_time,
deal_speed,
tools.format_seconds(need_time),
)
if overflow_time > 0:
msg += ", 该批次预计总超时 {}, 请及时处理".format(
tools.format_seconds(overflow_time))
log.info(msg)
if (not self._last_send_msg_time
or now_date - self._last_send_msg_time >=
self._send_msg_interval):
self._last_send_msg_time = now_date
self.send_msg(msg, level="error")
else: # 未超时
remaining_time = (
datetime.timedelta(days=self._batch_interval) -
time_difference)
remaining_time_pretty = tools.format_seconds(
remaining_time.total_seconds())
if self._batch_interval >= 1:
msg = "《{}》本批次正在进行, 批次时间 {}, 批次进度 {}/{}, 期望时间{}天, 剩余{}".format(
self._batch_name,
batch_date,
done_count,
total_count,
self._batch_interval,
remaining_time_pretty,
)
else:
msg = "《{}》本批次正在进行, 批次时间 {}, 批次进度 {}/{}, 期望时间{}小时, 剩余{}".format(
self._batch_name,
batch_date,
done_count,
total_count,
self._batch_interval * 24,
remaining_time_pretty,
)
result = self.get_deal_speed(
total_count=total_count,
done_count=done_count,
last_batch_date=last_batch_date,
)
if result:
deal_speed, need_time, overflow_time, calculate_speed_time = (
result)
msg += ", 任务处理速度于{}统计, 约 {}条/小时, 预计还需 {}".format(
calculate_speed_time,
deal_speed,
tools.format_seconds(need_time),
)
if overflow_time > 0:
msg += ", 该批次可能会超时 {}, 请及时处理".format(
tools.format_seconds(overflow_time))
# 发送警报
if (not self._last_send_msg_time
or now_date - self._last_send_msg_time >=
self._send_msg_interval):
self._last_send_msg_time = now_date
self.send_msg(msg, level="error")
elif overflow_time < 0:
msg += ", 该批次预计提前 {} 完成".format(
tools.format_seconds(-overflow_time))
log.info(msg)
else:
# 插入batch_date
self.record_batch()
# 初始化任务表状态 可能有产生任务的代码
self.init_task()
return False
def related_spider_is_done(self):
"""
相关连的爬虫是否跑完
@return: True / False / None 表示无相关的爬虫 可由自身的total_count 和 done_count 来判断
"""
for related_redis_task_table in self._related_task_tables:
if self._redisdb.exists_key(related_redis_task_table):
return False
if self._related_batch_record:
sql = "select is_done from {} order by id desc limit 1".format(
self._related_batch_record)
is_done = self._mysqldb.find(sql)
is_done = is_done[0][0] if is_done else None
if is_done is None:
log.warning("相关联的批次表不存在或无批次信息")
return None
if not is_done:
return False
return True
def record_batch(self):
"""
@summary: 记录批次信息（初始化）
---------
---------
@result:
"""
# 查询总任务数
sql = "select count(1) from %s%s" % (
self._task_table,
self._task_condition_prefix_where,
)
total_task_count = self._mysqldb.find(sql)[0][0]
batch_date = tools.get_current_date(self._date_format)
sql = (
"insert into %s (batch_date, done_count, total_count, `interval`, interval_unit, create_time) values ('%s', %s, %s, %s, '%s', CURRENT_TIME)"
% (
self._batch_record_table,
batch_date,
0,
total_task_count,
self._batch_interval
if self._batch_interval >= 1 else self._batch_interval * 24,
"day" if self._batch_interval >= 1 else "hour",
))
affect_count = self._mysqldb.add(sql) # None / 0 / 1 (1 为成功)
if affect_count:
# 重置批次日期
self._batch_date_cache = batch_date
# 重新刷下self.batch_date 中的 os.environ.get('batch_date') 否则日期还停留在上一个批次
os.environ["batch_date"] = self._batch_date_cache
# 爬虫开始
self.spider_begin()
self.record_spider_state(
spider_type=2,
state=0,
batch_date=batch_date,
spider_start_time=tools.get_current_date(),
batch_interval=self._batch_interval,
)
else:
log.error("插入新批次失败")
return affect_count
# -------- 批次结束逻辑 ------------
def task_is_done(self):
"""
@summary: 检查任务状态 是否做完 同时更新批次时间 (不能挂 挂了批次时间就不更新了)
---------
---------
@result: True / False （做完 / 未做完）
"""
is_done = False
# 查看批次记录表任务状态
sql = 'select date_format(batch_date, "{date_format}"), total_count, done_count, is_done from {batch_record_table} order by id desc limit 1'.format(
date_format=self._date_format.replace(":%M", ":%i"),
batch_record_table=self._batch_record_table,
)
batch_info = self._mysqldb.find(sql)
if batch_info is None:
raise Exception("查询批次信息失败")
if batch_info:
self._batch_date_cache, total_count, done_count, is_done = batch_info[
0] # 更新self._batch_date_cache, 防止新批次已经开始了，但self._batch_date_cache还是原来的批次时间
log.info("《%s》 批次时间%s 批次进度 %s/%s 完成状态 %d" % (
self._batch_name,
self._batch_date_cache,
done_count,
total_count,
is_done,
))
os.environ[
"batch_date"] = self._batch_date_cache # 更新BatchParser里边的批次时间
if is_done: # 检查任务表中是否有没做的任务 若有则is_done 为 False
# 比较耗时 加锁防止多进程同时查询
with RedisLock(
key=self._spider_name,
timeout=3600,
wait_timeout=0,
redis_uri="redis://:{password}@{host_post}/{db}".format(
password=setting.REDISDB_USER_PASS,
host_post=setting.REDISDB_IP_PORTS,
db=setting.REDISDB_DB,
),
) as lock:
if lock.locked:
log.info("批次表标记已完成，正在检查任务表是否有未完成的任务")
sql = "select 1 from %s where (%s = 0 or %s=2)%s limit 1" % (
self._task_table,
self._task_state,
self._task_state,
self._task_condition_prefix_and,
)
tasks = self._mysqldb.find(sql) # [(1,)] / []
if tasks:
log.info("检测到任务表中有未完成任务，等待任务下发")
is_done = False
# 更新batch_record 表的is_done 状态，减少查询任务表的次数
sql = 'update {batch_record_table} set is_done = 0 where batch_date = "{batch_date}"'.format(
batch_record_table=self._batch_record_table,
batch_date=self._batch_date_cache,
)
self._mysqldb.update(sql)
else:
log.info("任务表中任务均已完成，爬虫结束")
else:
log.info("批次表标记已完成，其他爬虫进程正在检查任务表是否有未完成的任务，本进程跳过检查，继续等待")
is_done = False
return is_done
def run(self):
"""
@summary: 重写run方法 检查mysql中的任务是否做完， 做完停止
---------
---------
@result:
"""
try:
self.create_batch_record_table()
if not self._parsers: # 不是add_parser 模式
self._parsers.append(self)
self._start()
while True:
if (
self.task_is_done() and self.all_thread_is_done()
): # redis全部的任务已经做完 并且mysql中的任务已经做完（检查各个线程all_thread_is_done，防止任务没做完，就更新任务状态，导致程序结束的情况）
if not self._is_notify_end:
self.spider_end()
self.record_spider_state(
spider_type=2,
state=1,
batch_date=self._batch_date_cache,
spider_end_time=tools.get_current_date(),
batch_interval=self._batch_interval,
)
self._is_notify_end = True
if self._auto_stop_when_spider_done:
self._stop_all_thread()
break
else:
self._is_notify_end = False
self.check_task_status()
tools.delay_time(10) # 10秒钟检查一次爬虫状态
except Exception as e:
msg = "《%s》主线程异常 爬虫结束 exception: %s" % (self._batch_name, e)
log.error(msg)
self.send_msg(msg)
os._exit(137) # 使退出码为35072 方便爬虫管理器重启
@classmethod
def to_DebugBatchSpider(cls, *args, **kwargs):
# DebugBatchSpider 继承 cls
DebugBatchSpider.__bases__ = (cls, )
DebugBatchSpider.__name__ = cls.__name__
return DebugBatchSpider(*args, **kwargs)
class BatchParser(BaseParse):
"""
@summary: 批次爬虫模版
---------
"""
def __init__(self,
task_table,
batch_record_table,
task_state,
date_format,
task_condition=""):
self._mysqldb = MysqlDB() # mysqldb
self._task_table = task_table # mysql中的任务表
self._batch_record_table = batch_record_table # mysql 中的批次记录表
self._task_state = task_state # mysql中任务表的state字段名
self._date_format = date_format # 批次日期格式
self._task_condition_prefix_and = task_condition and " and {}".format(
task_condition)
self._task_condition_prefix_where = task_condition and " where {}".format(
task_condition)
def add_task(self):
"""
@summary: 添加任务, 每次启动start_monitor 都会调用，且在init_task之前调用
---------
---------
@result:
"""
def start_requests(self, task):
"""
@summary:
---------
@param task: 任务信息 list
---------
@result:
"""
def init_task(self):
"""
@summary: 初始化任务表中的任务， 新一个批次开始时调用。 可能会重写
---------
---------
@result:
"""
sql = "update {task_table} set {state} = 0 where {state} != -1{task_condition}".format(
task_table=self._task_table,
state=self._task_state,
task_condition=self._task_condition_prefix_and,
)
return self._mysqldb.update(sql)
def update_task_state(self, task_id, state=1, **kwargs):
"""
@summary: 更新任务表中任务状态，做完每个任务时代码逻辑中要主动调用。可能会重写
调用方法为 yield lambda : self.update_task_state(task_id, state)
---------
@param task_id:
@param state:
---------
@result:
"""
kwargs["id"] = task_id
kwargs[self._task_state] = state
sql = tools.make_update_sql(
self._task_table,
kwargs,
condition="id = {task_id}".format(task_id=task_id))
if self._mysqldb.update(sql):
log.debug("置任务%s状态成功" % task_id)
else:
log.error("置任务%s状态失败 sql=%s" % (task_id, sql))
def update_task_batch(self, task_id, state=1, **kwargs):
"""
批量更新任务 多处调用，更新的字段必须一致
注意：需要 写成 yield update_task_batch(...) 否则不会更新
@param task_id:
@param state:
@param kwargs:
@return:
"""
kwargs["id"] = task_id
kwargs[self._task_state] = state
update_item = UpdateItem(**kwargs)
update_item.table_name = self._task_table
update_item.name_underline = self._task_table + "_item"
return update_item
@property
def batch_date(self):
"""
@summary: 获取批次时间
---------
---------
@result:
"""
batch_date = os.environ.get("batch_date")
if not batch_date:
sql = 'select date_format(batch_date, "{date_format}") from {batch_record_table} order by id desc limit 1'.format(
date_format=self._date_format.replace(":%M", ":%i"),
batch_record_table=self._batch_record_table,
)
batch_info = MysqlDB().find(sql) # (('2018-08-19'),)
if batch_info:
os.environ["batch_date"] = batch_date = batch_info[0][0]
else:
log.error("需先运行 start_monitor_task()")
os._exit(137) # 使退出码为35072 方便爬虫管理器重启
return batch_date