LongArticleTaskServer/app/recommend/offline_recommend/strategy/i2i.py

from .base import BaseStrategy


class I2I(BaseStrategy):
    @staticmethod
    def base(title: str, limit: int = 50) -> str:
        query = f"""
        -- ① 源标题（可限定，强烈建议）
        WITH src_title_user AS (
            SELECT DISTINCT title AS 源标题, union_id
            FROM loghubods.title_union_id_info
            WHERE title = '{title}'
        ),
        -- ② 源标题 → 联想标题 共现
        co_occur AS (
            SELECT
                s.源标题, t.title AS 联想标题, COUNT(*) AS 联想次数
            FROM src_title_user s
            JOIN loghubods.title_union_id_info t ON s.union_id = t.union_id
            WHERE s.源标题 != t.title
            GROUP BY s.源标题, t.title
        ),
        -- ③ 联想标题的 uid 覆盖量（独立算）
        title_uid_cnt AS (
            SELECT
                title, COUNT(DISTINCT union_id) AS 联想标题_uid数量
            FROM loghubods.title_union_id_info
            GROUP BY title
        )
        -- ④ 合并
        SELECT c.源标题, c.联想标题, c.联想次数, u.联想标题_uid数量, c.联想次数 / (u.联想标题_uid数量 + 1000) AS 联想标题_uid覆盖率
        FROM co_occur c
        LEFT JOIN title_uid_cnt u ON c.联想标题 = u.title
        ORDER BY 联想标题_uid覆盖率 DESC
        LIMIT {limit};
        """
        return query

    @staticmethod
    def batch_base(title_list, limit: int = 1000):
        title_tuple = tuple(title_list)
        query = f"""
            SELECT  src_title, rec_title, collinear_cnt, base_cnt, rec_collinear_ratio
            FROM    loghubods.t2i_records
            WHERE   src_title IN {title_tuple}
            AND data_version = 'v1' ORDER BY rec_collinear_ratio DESC
            LIMIT {limit};
        """
        return query

    @staticmethod
    def strategy_v1(title_list, limit: int = 500):
        title_tuple = tuple(title_list)
        query = f"""
            SELECT  associated_title AS recommend_title
                ,sum(association_count) as collinear_cnt
                ,sum(associated_title_uid_count) as base_cnt
                ,sum(association_count) / (sum(associated_title_uid_count) + 10000) AS recommend_score
            FROM    loghubods.i2i_table
            WHERE     dt = MAX_PT('i2i_table')
            AND   source_title IN {title_tuple}
            GROUP BY recommend_title
            ORDER BY recommend_score DESC
            LIMIT {limit};
            """
        return query