crawlab_feader/FworkSpider/feapder/buffer/item_buffer.py

# -*- coding: utf-8 -*-
"""
Created on 2018-06-19 17:17
---------
@summary: item 管理器 负责缓冲添加到数据库中的item， 由该manager统一添加。防止多线程同时访问数据库
---------
@author: Boris
@email: boris_liu@foxmail.com
"""

import threading
from queue import Queue

import feapder.setting as setting
import feapder.utils.tools as tools
from feapder.db.rabbitMq import RabbitMQ
from feapder.dedup import Dedup
from feapder.network.item import (
    Item,
    UpdateItem,
    BaseListItem,
    BaseDetailItem,
    FailedTaskItem,
)
from feapder.pipelines import BasePipeline
from feapder.utils import metrics
from feapder.utils.log import log

MAX_ITEM_COUNT = 5000  # 缓存中最大item数
UPLOAD_BATCH_MAX_SIZE = 1000


class ItemBuffer(threading.Thread):
    dedup = None

    def __init__(self, redis_key, rabbitmq=None):
        if not hasattr(self, "_items_queue"):
            super(ItemBuffer, self).__init__()

            self._thread_stop = False
            self._is_adding_to_db = False
            self._redis_key = redis_key

            self._items_queue = Queue(maxsize=MAX_ITEM_COUNT)

            self._rabbitmq = rabbitmq or RabbitMQ()

            # 任务队列
            self._tab_requests = setting.TAB_REQUESTS.format(redis_key=redis_key)
            self._rabbitmq.declare_bind(queue=self._tab_requests)

            # 数据保存失败队列
            self._tab_failed_items = setting.TAB_FAILED_ITEMS
            self._rabbitmq.declare_bind(queue=self._tab_failed_items)

            # 采集任务队列(rabbitMq)
            self._tab_items = setting.TAB_ITEMS.format(
                redis_key=redis_key.replace('_detailc', '')
            )
            self._rabbitmq.declare_bind(queue=self._tab_items)

            self._item_tables = {
                # 'item_name': 'table_name' # 缓存item名与表名对应关系
            }

            self._item_update_keys = {
                # 'table_name': ['id', 'name'...] # 缓存table_name与__update_key__的关系
            }

            self._pipelines = self.load_pipelines()
            if setting.ITEM_FILTER_ENABLE and not self.__class__.dedup:
                self.__class__.dedup = Dedup(
                    to_md5=False, **setting.ITEM_FILTER_SETTING
                )

            # 导出重试的次数
            self.export_retry_times = 0
            # 导出失败的次数
            self.export_falied_times = 0

    def load_pipelines(self):
        pipelines = []
        for pipeline_path in setting.ITEM_PIPELINES:
            pipeline = tools.import_cls(pipeline_path)()
            if not isinstance(pipeline, BasePipeline):
                raise ValueError(f"{pipeline_path} 需继承 feapder.pipelines.BasePipeline")
            pipelines.append(pipeline)

        return pipelines

    def run(self):
        self._thread_stop = False
        while not self._thread_stop:
            self.flush()
            tools.delay_time(1)

        self.close()

    def stop(self):
        self._thread_stop = True
        self._started.clear()

    def put_item(self, item):
        if isinstance(item, Item):
            # 入库前的回调
            item.pre_to_db()

        self._items_queue.put(item)

    def flush(self):
        try:
            items = []
            update_items = []
            failed_task_items = []
            requests = []
            callbacks = []
            items_fingerprints = []
            data_count = 0

            while not self._items_queue.empty():
                data = self._items_queue.get_nowait()
                data_count += 1
                update_at = tools.ensure_int64(tools.get_current_timestamp())

                # data 分类
                if callable(data):
                    callbacks.append(data)

                elif isinstance(data, UpdateItem):
                    update_items.append(data)

                elif isinstance(data, FailedTaskItem):
                    data.queue_name = self._tab_items  # 采集任务队列名称
                    failed_times = data.to_dict.pop('failed_times', 0)
                    if failed_times >= setting.SPIDER_FAILED_TASK_MAX_RETRY_TIMES:
                        state = 4  # 待采集任务停止采集状态[4=停止采集]
                        # 更新完成采集的任务状态
                        update_item = UpdateItem(
                            state=state,
                            pyuuid=data.pyuuid,
                            update_at=update_at,
                        )
                        update_item.update_key = ['state', 'update_at']
                        update_item.table_name = setting.TASK_REQUEST_PRODUCE
                        update_items.append(update_item)
                        # 保存失败的采集任务详情
                        data.state = state
                        data.failed_times = failed_times
                        data.create_at = update_at
                        failed_task_items.append(data)
                    else:
                        update_item = UpdateItem(
                            state=3,  # 待采集任务失败采集状态[3=采集失败]
                            pyuuid=data.pyuuid,
                            update_at=update_at,
                            failed_times=failed_times + 1
                        )
                        update_item.update_key = ['state', 'update_at', 'failed_times']
                        update_item.table_name = setting.TASK_REQUEST_PRODUCE
                        update_items.append(update_item)

                elif isinstance(data, Item):
                    if isinstance(data, BaseListItem):
                        data.queue_name = self._tab_items
                        data.update_at = update_at
                        if hasattr(data, 'is_delay') and data.is_delay:
                            data.state = 5  # 待采集任务延时采集状态[5=延时采集]
                        else:
                            data.state = 1  # 待采集任务等待采集状态[1=等待采集]

                    elif isinstance(data, BaseDetailItem):
                        update_item = UpdateItem(
                            state=2,  # 待采集任务成功采集状态[2=完成采集]
                            pyuuid=data.pyuuid,
                            update_at=update_at,
                        )
                        update_item.update_key = ['state', 'update_at']
                        update_item.table_name = setting.TASK_REQUEST_PRODUCE
                        update_items.append(update_item)

                    if data.dont_save:
                        # 不保存数据
                        continue

                    items.append(data)
                    if setting.ITEM_FILTER_ENABLE:
                        items_fingerprints.append(data.fingerprint)

                else:  # request-redis
                    requests.append(data)

                if data_count >= UPLOAD_BATCH_MAX_SIZE:
                    self.__add_item_to_db(
                        items, update_items, failed_task_items, requests, callbacks, items_fingerprints
                    )

                    items = []
                    update_items = []
                    failed_task_items = []
                    requests = []
                    callbacks = []
                    items_fingerprints = []
                    data_count = 0

            if data_count:
                self.__add_item_to_db(
                    items, update_items, failed_task_items, requests, callbacks, items_fingerprints
                )

        except Exception as e:
            log.exception(e)

    def get_items_count(self):
        return self._items_queue.qsize()

    def is_adding_to_db(self):
        return self._is_adding_to_db

    def __dedup_items(self, items, items_fingerprints):
        """
        去重
        @param items:
        @param items_fingerprints:
        @return: 返回去重后的items, items_fingerprints
        """
        if not items:
            return items, items_fingerprints

        is_exists = self.__class__.dedup.get(items_fingerprints)
        is_exists = is_exists if isinstance(is_exists, list) else [is_exists]

        dedup_items = []
        dedup_items_fingerprints = []
        items_count = dedup_items_count = dup_items_count = 0

        while is_exists:
            item = items.pop(0)
            items_fingerprint = items_fingerprints.pop(0)
            is_exist = is_exists.pop(0)

            items_count += 1

            if not is_exist:
                dedup_items.append(item)
                dedup_items_fingerprints.append(items_fingerprint)
                dedup_items_count += 1
            else:
                dup_items_count += 1

        log.info(
            "待入库数据 {} 条， 重复 {} 条，实际待入库数据 {} 条".format(
                items_count, dup_items_count, dedup_items_count
            )
        )

        return dedup_items, dedup_items_fingerprints

    def __pick_items(self, items, is_update_item=False):
        """
        将每个表之间的数据分开 拆分后 原items为空
        @param items:
        @param is_update_item:
        @return:
        """
        datas_dict = {
            # 'table_name': [{}, {}]
        }

        while items:
            item = items.pop(0)
            # 取item下划线格式的名
            # 下划线类的名先从dict中取，没有则现取，然后存入dict。加快下次取的速度
            item_name = item.item_name
            table_name = self._item_tables.get(item_name)
            if not table_name:
                table_name = item.table_name
                self._item_tables[item_name] = table_name

            if table_name not in datas_dict:
                datas_dict[table_name] = []

            datas_dict[table_name].append(item.to_dict)

            if is_update_item and table_name not in self._item_update_keys:
                self._item_update_keys[table_name] = item.update_key

        return datas_dict

    def __export_to_db(self, table, datas, is_update=False, update_keys=()):
        for pipeline in self._pipelines:
            if is_update:
                if not pipeline.update_items(table, datas, update_keys=update_keys):
                    log.error(
                        f"{pipeline.__class__.__name__} 更新数据失败. table: {table}  items: {datas}"
                    )
                    return False
            else:
                if not pipeline.save_items(table, datas):
                    log.error(
                        f"{pipeline.__class__.__name__} 保存数据失败. table: {table}  items: {datas}"
                    )
                    return False

        self.metric_datas(table=table, datas=datas)
        return True

    def __add_item_to_db(
        self, items, update_items, failed_task_items, requests, callbacks, items_fingerprints
    ):
        export_success = True
        self._is_adding_to_db = True

        if setting.ITEM_FILTER_ENABLE:
            items, items_fingerprints = self.__dedup_items(items, items_fingerprints)

        # 分捡
        items_dict = self.__pick_items(items)
        update_items_dict = self.__pick_items(update_items, is_update_item=True)
        failed_task_items_dict = self.__pick_items(failed_task_items)

        # item批量入库
        failed_items = {"add": [], "update": [], "requests": []}
        while items_dict:
            table, datas = items_dict.popitem()

            log.debug(
                """
                -------------- item 批量入库 --------------
                表名: %s
                datas: %s
                    """
                % (table, tools.dumps_json(datas, indent=16))
            )

            if not self.__export_to_db(table, datas):
                export_success = False
                failed_items["add"].append({"table": table, "datas": datas})

        # 执行批量update
        while update_items_dict:
            table, datas = update_items_dict.popitem()

            log.debug(
                """
                -------------- item 批量更新 --------------
                表名: %s
                datas: %s
                    """
                % (table, tools.dumps_json(datas, indent=16))
            )

            update_keys = self._item_update_keys.get(table)
            if not self.__export_to_db(
                table, datas, is_update=True, update_keys=update_keys
            ):
                export_success = False
                failed_items["update"].append({"table": table, "datas": datas})

        # 采集失败 item批量入库
        while failed_task_items_dict:
            table, datas = failed_task_items_dict.popitem()

            log.debug(
                """
                -------------- crawl failed item 批量入库 --------------
                表名: %s
                datas: %s
                    """
                % (table, tools.dumps_json(datas, indent=16))
            )

            if not self.__export_to_db(table, datas):
                export_success = False
                failed_items["add"].append({"table": table, "datas": datas})

        if export_success:
            # 执行回调
            while callbacks:
                try:
                    callback = callbacks.pop(0)
                    callback()
                except Exception as e:
                    log.exception(e)

            # 删除做过的request
            if requests:
                # self._rabbitmq.add(self._tab_requests, requests)
                pass

            # 去重入库
            if setting.ITEM_FILTER_ENABLE:
                if items_fingerprints:
                    self.__class__.dedup.add(items_fingerprints, skip_check=True)
        else:
            failed_items["requests"] = requests

            if self.export_retry_times > setting.EXPORT_DATA_MAX_RETRY_TIMES:
                if self._redis_key != "air_spider":
                    failed_items[self._redis_key] = ''  # 添加item失败标识
                    # 记录失败的item
                    self._rabbitmq.add_batch(self._tab_failed_items, failed_items)

                    # 删除做过的request
                    if requests:
                        # self.redis_db.zrem(self._table_request, requests)
                        print(f'做过的requests数量: {len(requests)}')

                    log.error(
                        "入库超过最大重试次数，不再重试，数据记录到redis，items:\n {}".format(
                            tools.dumps_json(failed_items)
                        )
                    )
                self.export_retry_times = 0

            else:
                tip = ["入库不成功"]
                if callbacks:
                    tip.append("不执行回调")
                if requests:
                    tip.append("不删除任务")
                    self._rabbitmq.add_batch(self._tab_requests, requests)

                if setting.ITEM_FILTER_ENABLE:
                    tip.append("数据不入去重库")

                if self._redis_key != "air_spider":
                    tip.append("将自动重试")

                tip.append("失败items:\n {}".format(tools.dumps_json(failed_items)))
                log.error("，".join(tip))

                self.export_falied_times += 1

                if self._redis_key != "air_spider":
                    self.export_retry_times += 1

            if self.export_falied_times > setting.EXPORT_DATA_MAX_FAILED_TIMES:
                # 报警
                msg = "《{}》爬虫导出数据失败，失败次数：{}，请检查爬虫是否正常".format(
                    self._redis_key, self.export_falied_times
                )
                log.error(msg)
                tools.send_msg(
                    msg=msg,
                    level="error",
                    message_prefix="《%s》爬虫导出数据失败" % (self._redis_key),
                )

        self._is_adding_to_db = False

    def metric_datas(self, table, datas):
        """
        打点 记录总条数及每个key情况
        @param table: 表名
        @param datas: 数据 列表
        @return:
        """
        total_count = 0
        for data in datas:
            total_count += 1
            for k, v in data.items():
                metrics.emit_counter(k, int(bool(v)), classify=table)
        metrics.emit_counter("total count", total_count, classify=table)

    def close(self):
        # 调用pipeline的close方法
        for pipeline in self._pipelines:
            try:
                pipeline.close()
            except:
                pass