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@@ -1,414 +0,0 @@
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-module fundit::task_weeklyPerformance
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-
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-use fundit::sqlUtilities;
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-use fundit::operationDataPuller;
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-use fundit::performanceDataPuller;
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-use fundit::indicatorCalculator;
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-use fundit::rbsaCalculator;
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-use fundit::navCalculator;
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-use fundit::bfiMatcher;
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-use fundit::dataSaver;
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-
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-
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-
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-/*
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- * 根据收益更新日期计算 RBSA
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- *
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- * @param entityType <STRING>: MF, HF, PF (MF和HF等效)
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- *
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- * TODO: 是否要 monthly 运行,并写入 history 表?
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- * portfolio 未测试
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- *
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- * Example: CalEntityRBSATask('MF', ['MF00003PW1'], 2024.10.14T10:00:00);
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- * CalEntityRBSATask('MF', NULL, 2024.11.25T10:00:00);
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- * CalEntityRBSATask('PF', NULL, 2024.11.25T10:00:00);
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- */
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-def CalEntityRBSATask(entityType, entityIds, updateTime) {
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-// entityType = 'MF'
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-//entityIds = NULL
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-//updateTime = 2024.12.21T10:00:00
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-
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- t_cal = get_entity_list_by_latest_return_updatetime(entityType, entityIds, updateTime, true);
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-
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- window = 48;
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- step = 13;
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-
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- if(t_cal.isVoid() || t_cal.size() == 0) return;
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-
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- d_rbsa = get_rbsa_index();
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-
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- // 拿到所有指数ID
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- v_index = d_rbsa.values().flatten().distinct();
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-
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- // 因为用来做基准指数的可能是指数、因子、基金等等任何时间序列数据,所以不用填 entity_type
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- t_index_ret = get_entity_return(NULL, v_index, 'w', t_cal.price_date.min().temporalAdd(-window, 'w'), today(), true);
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-
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- i = 0;
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- batch_size = 200;
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- total_cnt = t_cal.size();
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-
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- do {
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-
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- tb_result = table(1000:0,
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- ["entity_id", "asset_type_id", "index_id", "effective_date", "level", "alternative_id", "weighting"],
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- [iif(entityType=='PF', INT, STRING), STRING, STRING, STRING, INT, STRING, DOUBLE]);
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-
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- t = t_cal[i: min(total_cnt, i+batch_size)];
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-
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- // 起始日期是最早更新的净值日期再向前推一个时间窗口
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- s_json = (SELECT entity_id, price_date.temporalAdd(-window, 'w') AS price_date FROM t).toStdJson();
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- t_entity_ret = get_entity_ret_by_date(entityType, s_json, 'w', true);
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- if(entityType == 'PF') {
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- v_entity_id = t_entity_ret.entity_id$INT;
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- t_entity_ret.replaceColumn!('entity_id', v_entity_id);
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- }
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-
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- for(entity in t) {
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-
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- entity_ret = SELECT * FROM t_entity_ret WHERE entity_id = entity.entity_id;
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-
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- for(asset_type in d_rbsa.keys()) {
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-
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- index_ret = SELECT entity_id, price_date, ret FROM t_index_ret WHERE entity_id IN d_rbsa[asset_type] AND price_date IS NOT NULL;
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-
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- // 起始日期是最早更新日期再向前推一个时间窗口
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- res = cal_entity_RBSA(entityType, entity_ret, index_ret, 'w',
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- entity.price_date.temporalAdd(-window, 'w')[0], today(), true, window, step);
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-
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- if(res.isVoid() || res.size() == 0) continue;
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-
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- // 每日任务只负责更新最新的rbsa结果
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- latest_date = (EXEC price_date.max() AS price_date FROM res)[0];
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-
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- tb_result.tableInsert(SELECT entity_id, asset_type, index_id, price_date, level, alternative_id, weights
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- FROM res WHERE price_date = latest_date);
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-
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- }
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- }
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-
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- if(entityType IN ['MF', 'HF'])
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- save_and_sync(tb_result, 'raw_db.pf_fund_rbsa_breakdown', 'raw_db.pf_fund_rbsa_breakdown');
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- else
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- save_and_sync(tb_result, 'raw_db.pf_portfolio_rbsa_breakdown', 'raw_db.pf_portfolio_rbsa_breakdown');
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-
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- i += batch_size;
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-
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- } while (i < total_cnt);
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-
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-}
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-
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-
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-/*
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- * [定时任务] 计算基金和组合的BFI
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- *
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- * @param entityType <STRING>: MF, HF, PF
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- *
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- *
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- * TODO: max_r2 表在哪里被用到了?应该和基金推荐有关系
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- *
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- * Example: MatchEntityBFITask('MF', 2024.12.01);
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- */
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-def MatchEntityBFITask(entityType, date) {
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-//entityType = 'MF'
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-//date = 2024.12.01
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-
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- rt = '';
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-
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- if(find(['HF', 'MF', 'PF'], entityType) < 0) return null;
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-
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- // 取有最新周收益变动的基金列表 (1s)
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- tb_cal_entity = get_entity_list_by_weekly_return_updatetime(entityType, NULL, date, true);
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-
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- if(tb_cal_entity.isVoid() || tb_cal_entity.size() == 0 ) return;
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-
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- i = 0;
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- size = tb_cal_entity.size();
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- batch_size = 100;
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-
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- do {
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- // 4 min per 1000 funds or 2 min per 1000 portfolios
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- coe = cal_entity_index_coe(entityType, tb_cal_entity[i : min(size, i+batch_size)]);
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-
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- if(coe.isVoid() || coe.size() == 0) continue;
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-
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- entity_info = get_entity_info(entityType, tb_cal_entity[i : min(size, i+batch_size)].entity_id);
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-
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- bfi_raw = match_entity_bfi(entityType, entity_info, coe);
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-
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- // 先存到数据库,落袋为安
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- try {
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-
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- // 筛掉 correlation 绝对值不够阈值的记录
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- t_coe = SELECT entity_id, end_date, index_id,
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- iif(coe_1y.abs() < get_min_threshold('correlation'), double(NULL), coe_1y) AS coe_1y,
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- iif(coe_3y.abs() < get_min_threshold('correlation'), double(NULL), coe_3y) AS coe_3y,
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- iif(coe_5y.abs() < get_min_threshold('correlation'), double(NULL), coe_5y) AS coe_5y,
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- t_value_1y, t_value_3y, t_value_5y, beta_1y, beta_3y, beta_5y
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- FROM coe;
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-
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- DELETE FROM t_coe WHERE coe_1y IS NULL AND coe_3y IS NULL AND coe_5y IS NULL;
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-
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- // 候选因子
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- t_bfi_candidates = SELECT entity_id, end_date, index_id AS factor_id, coe_1y AS coe, coe_1y.square() AS r2, 'w' AS performance_flag, t_value_1y, beta_1y
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- FROM t_coe WHERE index_id LIKE 'FA%';
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-
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- chg_columns_for_mysql(t_coe, iif(entityType == 'PF', 'portfolio_id', 'fund_id'));
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-
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- // 只有基金需要存 index_coe 表
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- if(entityType IN ['MF', 'HF']) save_and_sync(t_coe, 'raw_db.pf_fund_index_coe', );
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-
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- // 所有的 factors 存到 xxx_factor_bfi 表;NOTE: Java 把所有 factor 的数据都存起来,这里只存 correlation 达标的记录 (反正这个表没啥用?)
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- chg_columns_for_mysql(t_bfi_candidates, iif(entityType == 'PF', 'portfolio_id', 'fund_id'));
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- save_and_sync(t_bfi_candidates, iif(entityType == 'PF', 'raw_db.pf_portfolio_factor_bfi', 'raw_db.cm_fund_factor_bfi'), );
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-
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- if(bfi_raw.isVoid() || bfi_raw.size() == 0) continue;
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-
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- // 有效因子
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- t_bfi = SELECT entity_id, end_date, factor_id, coe_1y AS coe, r2, performance_flag, t_value_1y, beta_1y
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- FROM bfi_raw ORDER BY entity_id, end_date, r2 DESC;
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-
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- // 最大R2因子及所有有效因子标签
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- t_max_r2 = SELECT entity_id, factor_id.first() AS factor_id, end_date,
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- string(NULL) AS performance_flag, coe.first() AS coe, r2.first() AS r2, concat(factor_name, ",") AS rz_portrait
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- FROM ej(t_bfi, get_bfi_index_list(), 'factor_id')
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- GROUP BY entity_id, end_date;
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-
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- // 有效 factors 存到 xxx_factor_bfi_by_category_group 表
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- chg_columns_for_mysql(t_bfi, iif(entityType == 'PF', 'portfolio_id', 'fund_id'));
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- save_and_sync(t_bfi, iif(entityType == 'PF', 'raw_db.pf_portfolio_factor_bfi_by_category_group', 'raw_db.pf_fund_factor_bfi_by_category_group'), );
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-
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- // 有效因子中 R2 最大的因子存 xxx_max_r2
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- chg_columns_for_mysql(t_max_r2, iif(entityType == 'PF', 'portfolio_id', 'fund_id'));
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- save_and_sync(t_max_r2, iif(entityType == 'PF', 'raw_db.pf_portfolio_factor_bfi_max_r2', 'raw_db.pf_fund_factor_bfi_by_category_group_max_r2'), );
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-
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-
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- } catch (ex) {
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-
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- //TODO: Log errors
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- rt += ex;
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- }
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-
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- i = i + batch_size;
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-
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- } while (i<size)
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-
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-
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- return rt;
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-}
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-
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-/*
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- * [定时任务] 计算BFI指标并存入数据库
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- *
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- * @param entityType <STRING>: 'MF', 'HF', 'PF' (MF和HF等效)
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- * @param date <DATETIME>: BFI更新时间, 为空时缺省为当前时间的前1天;为1989.01.01或更早日期时代表初始化,指标会被存入本地数据库
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- *
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- *
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- * Example: calEntityBfiIndicatorTask('MF', 2024.10.28);
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- * calEntityBfiIndicatorTask('PF', 2024.10.28);
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- */
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-def calEntityBfiIndicatorTask(entityType, date) {
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-
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-// entityType = 'MF'
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-// date = 2024.10.01
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-
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- rt = '';
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-
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- if(!(entityType IN ['MF', 'HF', 'PF'])) return null;
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-
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- very_old_day = 1900.01.01;
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-
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- if(date.isNothing() || date.isNull())
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- end_day = temporalAdd(now(), -1d);
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- else
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- end_day = date;
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-
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- // 1989.01.01及以前的日期被认为从本地读数据
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- isFromMySQL = iif(end_day <= 1989.01.01, false, true);
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-
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- // 取有最新bfi变动的基金列表 (1s)
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- tb_cal_entities = get_entity_bfi_factors(entityType, NULL, very_old_day.month(), today().month(), end_day);
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-
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- if(tb_cal_entities.isVoid() || tb_cal_entities.size() == 0 ) return;
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-
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- v_uniq_entity_id = EXEC DISTINCT entity_id FROM tb_cal_entities;
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-
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- // 按照 MySQL 建好各表
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- tb_bfi_indicator = create_entity_bfi_indicator(iif(entityType=='PF', true, false));
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-
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- // 分批跑
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- i = 0;
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- batch_size = 100;
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-
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-
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- do {
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-
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- entities = SELECT * FROM tb_cal_entities WHERE entity_id IN v_uniq_entity_id[i : min(v_uniq_entity_id.size(), i+batch_size)];
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-
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- if(entities.isVoid() || entities.size() == 0) break;
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-
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- // 200ms
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- entity_info = SELECT entity_id, end_date.temporalParse('yyyy-MM') AS end_date, inception_date, factor_id AS benchmark_id, ini_value
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- FROM ej(entities, get_entity_info(entityType, entities.entity_id), 'entity_id');
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-
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- // 取月收益 (12s)
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- rets = get_monthly_ret(entityType, entity_info.entity_id, very_old_day, entity_info.end_date.max().temporalFormat('yyyy-MM-dd').temporalParse('yyyy-MM-dd').monthEnd(), isFromMySQL);
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-
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- // 把 yyyy-MM 格式的 end_date 改成 dolphin 的 MONTH
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- v_end_date = rets.end_date.temporalParse('yyyy-MM');
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- rets.replaceColumn!('end_date', v_end_date);
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-
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- if(!rets.isVoid() && rets.size() > 0) {
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-
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- // 计算月度指标 (5s)
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- indicators = cal_monthly_indicators(entityType, 'BFI', rets);
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-
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- // 仿照MySQL的表结构准备好记录 (1s)
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- generate_entity_bfi_indicator(entity_info, indicators, true, tb_bfi_indicator);
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-
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- }
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-
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- i += batch_size;
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-
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- } while (i <= v_uniq_entity_id.size());
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-
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-
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- if(! tb_bfi_indicator.isVoid() && tb_bfi_indicator.size() > 0) {
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-
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- // save data to MySQL
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- try {
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-
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- t_desc = get_bfi_indicator_table_description(entityType);
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-
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- chg_columns_for_mysql(tb_bfi_indicator, t_desc.sec_id_col[0]);
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- db_name = t_desc.table_name[0].split('.')[0];
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- save_and_sync(tb_bfi_indicator, t_desc.table_name[0].strReplace(db_name, 'raw_db'), t_desc.table_name[0].strReplace(db_name, 'raw_db'));
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-
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- // 数据初始化时将指标存入本地,做排名之用
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- if(end_day <= get_ini_data_const()['date'])
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- save_table(tb_bfi_indicator, t_desc.table_name[0], false);
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-
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- } catch(ex) {
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-
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- //TODO: Log errors
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- rt = ex;
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- }
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- }
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-
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- return rt;
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-
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-}
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-
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-
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-/*
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- * 计算并存储基金经理和公司月度净值
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- *
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- * @return <TABLE>: [COLUMNS] entity_id, curve_type, strategy, end_date, price_date, ret, nav
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- *
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- * NOTE: 基本上和 cal_and_save_mc_monthly_nav 一样
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- *
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- */
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-def cal_and_save_mc_weekly_nav(entity_type, entity_date, is_save_local) {
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-
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- rt = '';
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-
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- if( !(entity_type in ['PL', 'CO']) ) return rt;
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-
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- if(entity_date.isVoid() || entity_date.size() == 0) return rt;
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-
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- // 准备类似MySQL结构的数据表
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- tb_entity_nav = create_mc_nav();
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-
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- // 暂时与 MySQL 保持一致,只计算公募,私募,公私募综合三条时间序列。未来可细化至公、私募+主策略
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- d_curve_type = dict(INT, INT);
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- d_curve_type[1] = 1; // 私募
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- d_curve_type[4] = 2; // 公募
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- d_curve_type[7] = -99; // 公私募综合
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-
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- // 分批跑
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- i = 0;
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- batch_size = 1000;
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-
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- all_entity_id = entity_date.entity_id.distinct();
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-
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- do { // 14 sec
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-
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- tb_entity = SELECT entity_id, effective_date FROM entity_date
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- WHERE entity_id IN all_entity_id[i : min(all_entity_id.size(), i+batch_size)];
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-
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- if(tb_entity.isVoid() || tb_entity.size() == 0) break;
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-
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- s_json = tb_entity.toStdJson();
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- t_ret = get_mc_average_return(entity_type, 'w', s_json, 0, 1, true);
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-
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- for(cur in d_curve_type.keys()) {
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-//cur=7
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- tmp = SELECT entity_id, cur AS curve_type, 0 AS strategy, effective_date, price_date, ret, incl_cal_cnt
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- FROM t_ret WHERE raise_type = d_curve_type[cur] AND strategy = -99; // 目前只需要全策略
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-
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- // 计算周收益
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- tb_nav = cal_mc_nav_by_return(entity_type, tmp, 'w');
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-
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- INSERT INTO tb_entity_nav
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- SELECT entity_id, curve_type, strategy, effective_date AS year_week, price_date, nav, ret, incl_cal_cnt
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- FROM ej(tb_nav, tmp, ['entity_id', 'curve_type', 'strategy', 'effective_date']);
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-
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- }
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-
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- i += batch_size;
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-
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- } while (i <= all_entity_id.size());
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-
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-
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- if(! tb_entity_nav.isVoid() && tb_entity_nav.size() > 0) {
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-
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- // save data to MySQL (12 sec)
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- try {
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-
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- tb_entity_nav.rename!('entity_id', iif(entity_type == 'PL', 'manager_id', 'company_id'));
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- save_and_sync(tb_entity_nav, iif(entity_type == 'PL', 'raw_db.manager_nav', 'raw_db.company_nav'), );
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-
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- // 数据初始化时将指标存入本地
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- if(is_save_local == true) {
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- save_table(tb_entity_nav, iif(entity_type == 'PL', 'mfdb.manager_nav', 'mfdb.company_nav'), false);
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- }
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-
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- } catch(ex) {
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-
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- //TODO: Log errors
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- rt += ex;
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- }
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- }
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-
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- return rt;
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-
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-}
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-
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-
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-/*
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- * [定时任务]: 基金经理/公司周净值计算
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- *
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- * Example: CalMCWeeklyNavTask('CO', 2024.11.04);
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- */
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-def CalMCWeeklyNavTask(entity_type, updatetime) {
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-//updatetime = 2024.11.05;
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-//entity_type = 'PL';
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- if(!(entity_type IN ['PL', 'CO'])) return;
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-
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- is_save_local = iif(updatetime <= get_ini_data_const()['updatetime'], true, false);
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-
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- // 60 sec 简化起见,不区分curve_type, strategy; TODO: 性能能否优化?
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- if(entity_type == 'PL') {
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- entity_date = get_manager_list_by_fund_updatetime(updatetime, 'w');
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- entity_date.rename!('manager_id', 'entity_id');
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- }
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- else {
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- entity_date = get_company_list_by_fund_updatetime(updatetime, 'w');
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- entity_date.rename!('company_id', 'entity_id');
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- }
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-
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- // 15 sec
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- cal_and_save_mc_weekly_nav(entity_type, entity_date, is_save_local);
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-
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- entity_date = null;
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-
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-}
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