#!/usr/bin/env python
# -*- coding: utf-8 -*-

import logging
import traceback
import json
import time
import datetime
from libs.cache import redis_client
from gm_rpcd.all import bind
from libs.cache import redis_client
from libs.es import ESPerform
from search.utils.group import GroupUtils
from search.utils.common import GroupSortTypes
from libs.es import ESPerform
from trans2es.models.topic import CommunityCategoryTagRelation
from trans2es.models.pictorial import PictorialTopics
from trans2es.models.pictorial import CommunityPictorialActivity
from alpha_types.venus import PICTORIAL_ACTIVITY_SORT, PICTORIAL_TOPIC_SORT
from search.views.tag import get_same_tagset_ids


@bind("physical/search/query_pictorial")
def query_pictorial(query="", offset=0, size=10):
    """
    :remark:小组搜索排序策略，缺少排序策略
    :param query:
    :param offset:
    :param size:
    :return:
    """
    try:
        result_dict = GroupUtils.get_group_query_result(query, offset, size)
        group_ids_list = []

        if len(result_dict["hits"]) > 0:
            group_ids_list = [item["_source"]["id"] for item in result_dict["hits"]]

        return {"group_ids": group_ids_list}
    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"group_ids": []}


@bind("physical/search/pictorial_sort")
def pictorial_sort(user_id=-1, sort_type=GroupSortTypes.HOT_RECOMMEND, offset=0, size=10, device_id=""):
    """
    :remark 小组排序,缺少：前1天发评论人数＊x
    :param user_id:
    :param sort_type:
    :param offset:
    :param size:
    :return:
    """
    try:
        if not isinstance(user_id, int):
            user_id = -1

        # 获取es链接对象
        es_cli_obj = ESPerform.get_cli()

        if sort_type == GroupSortTypes.HOT_RECOMMEND:
            # 用户关注标签
            attention_tag_list = list()
            if user_id > 0:
                redis_tag_data = redis_client.hget("physical:linucb:register_user_tag_info", user_id)
                attention_tag_list = json.loads(redis_tag_data) if redis_tag_data else []

            pictorial_ids_list = GroupUtils.get_hot_pictorial_recommend_result_list(offset, size, es_cli_obj,
                                                                                    attention_tag_list)

            return {"pictorial_recommend_ids": pictorial_ids_list}
        elif sort_type == GroupSortTypes.ATTENTION_RECOMMEND:
            attention_pictorial_list = GroupUtils.get_user_attention_pictorial_list(user_id, offset=0, size=1,
                                                                                    es_cli_obj=es_cli_obj)
            if len(attention_pictorial_list) == 0:
                return {"pictorial_recommend_ids": []}

            else:
                attention_pictorial_id_list = [item["pictorial_id"] for item in attention_pictorial_list]
                sorted_pictorial_ids_list = GroupUtils.get_pictorial_ids_by_aggs(attention_pictorial_id_list,
                                                                                 es_cli_obj)

                pictorial_recommend_ids_list = sorted_pictorial_ids_list
                # if len(group_recommend_ids_list) < size and len(group_recommend_ids_list)<len(attention_group_list):
                sorted_attention_pictorial_list = sorted(attention_pictorial_list,
                                                         key=lambda item: item["update_time_val"], reverse=True)
                for item in sorted_attention_pictorial_list:
                    if item["pictorial_id"] not in pictorial_recommend_ids_list:
                        pictorial_recommend_ids_list.append(item["pictorial_id"])
                return {"pictorial_recommend_ids": pictorial_recommend_ids_list[offset:(offset + size)]}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pictorial_recommend_ids": []}


@bind("physical/search/pictorial_topic")
def pictorial_topic(topic_id=-1, offset=0, size=10):
    """
    帖子详情页的榜单推荐
    先获取该帖子所属榜单 过滤下线的无帖子的被删除的榜单
    再根据该帖子下的标签去获取有这些标签的榜单
    最后根据该标签对应的分类标签去获取榜单
    :remark 入选画报
    :param user_id:
    :param sort_type:
    :param offset:
    :param size:
    :return:
    """
    try:

        # 获取es链接对象
        es_cli_obj = ESPerform.get_cli()
        q = {}
        # 获取帖子及该帖子的标签
        q["query"] = {
            "bool": {
                "must": [
                    {
                        "term": {
                            "id": topic_id
                        }
                    },
                    {
                        "term": {
                            "is_online": True
                        }
                    }
                ],
                "must_not": [
                    {
                        "term": {
                            "is_history": True
                        }
                    }
                ]
            }
        }
        q["_source"] = {
            "includes": ["id", "pictorial_id", "edit_tag_list"]
        }
        result_dict = ESPerform.get_search_results(es_cli_obj, "topic", q, offset, size)
        pict_pictorial_ids_list = []
        topic_tag_list = []
        pictorial_id_list = []
        if len(result_dict["hits"]) > 0:
            for item in result_dict["hits"]:
                pict_pictorial_ids_list = item["_source"]["pictorial_id"]
                topic_tag_list = item["_source"]["edit_tag_list"]

        ##拿到这些标签的同义词

        topic_tag_list = get_same_tagset_ids(topic_tag_list)
        ##先拿到当前帖子对应的标签的分类ID
        tag_type_ids = CommunityCategoryTagRelation.objects.filter(tag_id__in=topic_tag_list,
                                                                   is_online=True, is_deleted=False).values_list(
            "category_tag_id", flat=True)

        logging.info("get tag_type_ids:%s" % tag_type_ids)
        # 拿到所属榜单
        if len(pict_pictorial_ids_list) > 0:
            q["query"] = {
                "bool": {
                    "must": [{
                        "terms": {
                            "id": pict_pictorial_ids_list
                        }
                    },
                        {
                            "term": {
                                "is_online": True
                            }
                        },
                        {
                            "term": {
                                "is_deleted": False
                            }
                        },
                        {
                            "term": {
                                "is_cover": True
                            }
                        }
                    ]
                }

            }
            q["_source"] = {
                "includes": ["id", "update_time"]
            }
            q["sort"] = [
                {
                    "real_user_activate_time": {
                        "order": "desc"
                    }

                },
                {'update_time': {
                    'order': 'desc'
                }
                }
            ]
            result_dict = ESPerform.get_search_results(es_cli_obj, "pictorial", q, offset, size)
            if len(result_dict["hits"]) > 0:
                for item in result_dict["hits"]:
                    pictorial_id = item["_source"]["id"]
                    pictorial_id_list.append(pictorial_id)

        functions_list = []
        all_tag = []
        all_tag.extend(topic_tag_list)
        all_tag.extend(tag_type_ids)
        # 如果不够10个去拿所属标签的榜单和所属分类的标签的榜单
        if len(pictorial_id_list) < 10 and len(all_tag) > 0:
            num = 10 - len(pictorial_id_list)
            query = {
                "bool": {
                    "must": [{
                        "terms": {
                            "edit_tag_id": all_tag
                        }}, {
                        "term": {
                            "is_online": True
                        }
                    }, {
                        "term": {
                            "is_deleted": False
                        }
                    }, {
                        "range": {
                            "topic_id_list": {
                                "gte": 0
                            }

                        }
                    }, {
                        "term": {
                            "is_cover": True
                        }
                    }]
                }
            }

            functions_list.append({
                "filter": {
                    "constant_score": {
                        "filter": {
                            "terms": {
                                "edit_tag_id": topic_tag_list
                            }
                        }
                    }
                },
                "weight": 200
            })
            q = {
                "query": {
                    "function_score": {
                        "query": query,
                        "score_mode": "sum",
                        "boost_mode": "replace",
                        "functions": functions_list
                    }
                }
            }
            q["_source"] = {
                "includes": ["id", "edit_tag_id"]}
            q["sort"] = [
                {
                    "_score": {
                        "order": "desc"
                    }
                },
                {
                    "real_user_activate_time": {
                        "order": "desc"
                    }
                },
                {
                    'update_time': {
                        'order': 'desc'

                    }
                }
            ]

            result_dict = ESPerform.get_search_results(es_cli_obj, "pictorial", q, 0, 10)
            logging.info("get result_dict:%s" % result_dict)
            if len(result_dict["hits"]) > 0:
                for item in result_dict["hits"]:
                    id = item["_source"]["id"]
                    if id not in pictorial_id_list:
                        pictorial_id_list.append(id)  #
            pictorial_list = pictorial_id_list if len(pictorial_id_list) < 10 else pictorial_id_list[:10]
            return {"pictorial_ids_list": pictorial_list}
        else:
            return {"pictorial_ids_list": pictorial_id_list}
    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pictorial_ids_list": []}


@bind("physical/search/pictorial_topic_sort")
def pictorial_topic_sort(pictorial_id=-1, offset=0, size=10, sort_type=PICTORIAL_TOPIC_SORT.HOT, user_id=-1):
    """
    :remark 画报排序 人气 部分
    人气按照票数从大到小排序，相同票数按照图片票数更新时间由旧到新排序
    2019-8-19新增日榜，周榜，月榜
    :param user_id:
    :param sort_type:
    :param offset:
    :param size:
    :return:
    """
    try:
        days2 = 0
        if sort_type == PICTORIAL_TOPIC_SORT.DAY_HOT:
            days2 = 1
        if sort_type == PICTORIAL_TOPIC_SORT.WEEK_HOT:
            days2 = 7
        if sort_type == PICTORIAL_TOPIC_SORT.MOUTH_HOT:
            days2 = 30

        now = datetime.datetime.now()
        yesterday2 = now - datetime.timedelta(days=days2)

        yesterday_begin_time = "%s-%s-%s %s:%s:%s" % (
            yesterday2.year, yesterday2.month, yesterday2.day, yesterday2.hour, yesterday2.minute, yesterday2.second)
        yesterday_end_time = "%s-%s-%s %s:%s:%s" % (
            now.year, now.month, now.day, now.hour, now.minute, now.second)

        logging.info("get yesterday_begin_time:%s" % yesterday_begin_time)
        logging.info("get yesterday_end_time:%s" % yesterday_end_time)

        formatStr = "%Y-%m-%d %H:%M:%S"
        tm_begin = time.strptime(yesterday_begin_time, formatStr)
        tm_end = time.strptime(yesterday_end_time, formatStr)
        yesterday_begintime = time.mktime(tm_begin)
        yesterday_endtime = time.mktime(tm_end)
        logging.info("get yesterday_begin_time:%s" % yesterday_begintime)
        logging.info("get yesterday_end_time:%s" % yesterday_endtime)

        if not isinstance(pictorial_id, int):
            pictorial_id = -1
        q = {
            "query": {
                "bool": {
                    "must": [
                        {"term": {"is_online": True}},
                        {"term": {"is_deleted": False}},
                        {"term": {"pictorial_id": pictorial_id}}
                    ]
                }
            }
        }

        if sort_type == PICTORIAL_TOPIC_SORT.HOT:

            q["sort"] = [
                {"related_billboard.total_vote_cnt": {
                    "order": "desc",
                    "nested_path": "related_billboard",
                    "missing": "_last",
                    "nested_filter": {
                        "term": {
                            "related_billboard.pictorial_id": pictorial_id
                        }
                    }
                }},
                {"create_time": {"order": "desc"}}
            ]

        else:

            q["query"]["bool"]["must"].append(
                {
                    "nested": {
                        "path": "related_billboard",
                        "query": {
                            "bool": {
                                "must": [
                                    {
                                        "range": {
                                            "related_billboard.topic_add_createtime": {
                                                "gte": yesterday_begintime,
                                                "lte": yesterday_endtime
                                            }
                                        }
                                    }
                                ]
                            }
                        }
                    }
                })

            # q["sort"] = [
            #     {"related_billboard.topic_add_createtime": {
            #         "order": "desc",
            #         "nested_path": "related_billboard",
            #         "missing": "_last"
            #     }}
            # ]
            q["sort"] = [
                {"related_billboard.total_vote_cnt": {
                    "order": "desc",
                    "nested_path": "related_billboard",
                    "missing": "_last",
                    "nested_filter": {
                        "term": {
                            "related_billboard.pictorial_id": pictorial_id
                        }
                    }
                }},
                {"create_time": {"order": "desc"}}
            ]

        logging.info("get qqqqqq:%s" % q)
        pict_pictorial_ids_list = []
        # 获取es链接对象
        es_cli_obj = ESPerform.get_cli()
        result_dict = ESPerform.get_search_results(es_cli_obj, "topic", query_body=q, offset=offset, size=size)
        # result_dict = ESPerform.get_search_results(es_cli=es_cli_obj, sub_index_name="mv-alpha-topic-prod-190905001", query_body=q, offset=offset, size=size,if_official_index_name=True)

        # logging.info("get pictorial_topic_sort res:%s" % result_dict)

        for item in result_dict["hits"]:
            topic_id = item["_source"]["id"]
            pict_pictorial_ids_list.append(topic_id)

        return {"pict_pictorial_ids_list": pict_pictorial_ids_list}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pict_pictorial_ids_list": []}


@bind("physical/search/search_physical")
def search_physical(query="", offset=0, size=10):
    """
    搜索页面搜索画报
    :param query:
    :param offset:
    :param size:
    :return:
    1. query识别：允许模糊匹配
    2. 召回部分：去掉无封面、无帖子、下线的、默认画报
    3. rank部分：（和之前一样，下面只是粘贴过来）
    """
    try:
        result_dicts = GroupUtils.get_search_pictorial_topic(query, offset, size)
        group_ids_list = []
        if len(result_dicts["hits"]) > 0:
            group_ids_list = [item["_source"]["id"] for item in result_dicts["hits"]]
        return {"search_pictorial_ids": group_ids_list}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"search_pictorial_ids": []}


@bind("physical/search/pictorial_activity")
def pictorial_activity_sort(activity_id=0, offset=0, size=10, sort_type=1):
    """
    榜单活动的排名和最新tab下的排序
    排名根据该榜单下的帖子的总票数倒排
    最新根据榜单的创建时间排序
    过滤掉下线的无封面的帖子

    :param activity_id:
    :param offset:
    :param size:
    :param sort_type:
    :return:
    """
    try:
        now = datetime.datetime.now()
        activity_status = CommunityPictorialActivity.objects.filter(id=activity_id).values_list("end_time",
                                                                                                flat=True).first()

        now = int(time.mktime(now.timetuple()))
        activity_status = int(time.mktime(activity_status.timetuple()))

        logging.info("get now:%s" % now)
        logging.info("get activity_status:%s" % activity_status)

        pictorial_ids_list = []
        if sort_type == 1:
            redis_key = "pictorial:activity:vote:id:" + str(activity_id)
        else:
            redis_key = "pictorial:activity:create:id:" + str(activity_id)

        if now < activity_status:
            q = {
                "query": {
                    "bool": {
                        "must": [
                            {
                                "term": {
                                    "activity_join": activity_id
                                }
                            },
                            {
                                "term": {
                                    "is_cover": True
                                }
                            },
                            {
                                "term": {
                                    "is_online": True
                                }
                            }
                        ]
                    }
                }
            }
            q["sort"] = process_sort(sort_type)
            es_cli_obj = ESPerform.get_cli()
            result_dict = ESPerform.get_search_results(es_cli_obj, "pictorial", q, offset, size)
            if len(result_dict["hits"]) > 0:
                for item in result_dict["hits"]:
                    pictorial_id = item["_source"]["id"]
                    vote_num = item["_source"]["topic_vote_number"]
                    pictorial_ids_list.append({"pictorial_id": pictorial_id, "vote_num": vote_num})
            redis_client.set(redis_key, json.dumps(pictorial_ids_list))
        else:
            redis_field_val_list = redis_client.get(redis_key)
            pictorial_ids_list_all = json.loads(str(redis_field_val_list, encoding="utf-8"))
            pictorial_ids_list = pictorial_ids_list_all[offset:size + offset]

        return {"pictorial_activity_sort": pictorial_ids_list}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pictorial_activity_sort": []}


def process_sort(sorts_by):
    """处理排序部分。"""

    sort_rule = []
    if isinstance(sorts_by, int):
        if sorts_by == PICTORIAL_ACTIVITY_SORT.VOTE_NUM:
            sort_rule.append({
                "topic_vote_number": {
                    "order": "desc"
                }
            })
        if sorts_by == PICTORIAL_ACTIVITY_SORT.CREATE_TIME:
            sort_rule.append({
                "create_time": {
                    "order": "desc"
                }
            })

    logging.info("get picotirial:%s" % sort_rule)

    return sort_rule


@bind("physical/search/pictorialid_topic")
def pictorial_topic_sort_peoplehot(pictorial_id=-1, user_id=-1, offset=0, size=10):
    try:
        if not isinstance(pictorial_id, int):
            pictorial_id = -1

        results = pictorial_topic_sort(pictorial_id=pictorial_id, size=100)

        pict_pictorial_ids_list = results["pict_pictorial_ids_list"]

        logging.info("get pict_pictorial_ids_list res:%s" % pict_pictorial_ids_list)

        q = {
            "query": {
                "bool": {
                    "must": [
                        {"term": {"is_online": True}},
                        {"term": {"is_deleted": False}},
                        {"term": {"pictorial_id": pictorial_id}},
                        {"term": {"user_id": user_id}}
                    ]
                }
            },
            "sort": [
                {"related_billboard.total_vote_cnt": {
                    "order": "desc",
                    "nested_path": "related_billboard",
                    "missing": "_last",
                    "nested_filter": {
                        "term": {
                            "related_billboard.pictorial_id": pictorial_id
                        }
                    }
                }},
                {"create_time": {"order": "desc"}}
            ]
        }

        # 获取es链接对象
        es_cli_obj = ESPerform.get_cli()
        result_dict = ESPerform.get_search_results(es_cli_obj, "topic", q, offset, size)

        user_pict_pictorial_ids_list = []
        for item in result_dict["hits"]:
            topic_id = item["_source"]["id"]
            user_pict_pictorial_ids_list.append(topic_id)

        logging.info("get user_pict_pictorial_ids_list res:%s" % user_pict_pictorial_ids_list)

        pictorial_user_topicid_list = list()

        for user_id_topic in user_pict_pictorial_ids_list:

            if user_id_topic in pict_pictorial_ids_list:
                topic_sort = pict_pictorial_ids_list.index(user_id_topic)
                pictorial_user_topicid_list.append({"topic_id": user_id_topic, "topic_sort": topic_sort + 1})

            else:
                index = user_pict_pictorial_ids_list.index(user_id_topic)
                pictorial_user_topicid_list.append({"topic_id": user_id_topic, "topic_sort": 100 + index})

        return {"pictorial_user_topicid_list": pictorial_user_topicid_list}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pict_pictorial_ids_list": []}


@bind("physical/search/pictorial_activity_sort")
def get_pictorial_activeity_sort(activity_id=0, pictorial_id=0):
    try:
        pictorial_activity_sort_only = []
        pictorial_ids_list = pictorial_activity_sort(activity_id=activity_id, size=999, offset=0, sort_type=1)
        logging.info("get pictorial_ids_list:%s" % pictorial_ids_list)
        data = pictorial_ids_list.get("pictorial_activity_sort", [])
        logging.info("get data:%s" % data)
        if data:
            pictorial_ids = []
            for item in data:
                pictorial_ids.append(item["pictorial_id"])
            if pictorial_id in pictorial_ids:
                pictorial_sort = pictorial_ids.index(pictorial_id)
                pictorial_activity_sort_only.append(
                    {"pictorial_id": pictorial_id, "pictorial_sort": pictorial_sort + 1})
            else:
                pictorial_activity_sort_only.append({"pictorial_id": pictorial_id, "pictorial_sort": 1000})
        return {"pictorial_activity_sort": pictorial_activity_sort_only}

    except:
        logging.error("catch exception,err_msg:%s" % traceback.format_exc())
        return {"pictorial_activity_sort": []}