task_fundPerformance.dos 20 KB

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  1. module fundit::task_fundPerformance
  2. use fundit::sqlUtilities;
  3. use fundit::dataPuller;
  4. use fundit::dataSaver;
  5. use fundit::returnCalculator;
  6. use fundit::indicatorCalculator;
  7. use fundit::fundCalculator;
  8. use fundit::bfiMatcher;
  9. /*
  10. * 按照 XXX_performance 表结构准备数据记录
  11. *
  12. *
  13. */
  14. def generate_entity_performance(entity_info, indicators, isToMySQL, mutable entity_performance) {
  15. t = null;
  16. if(isToMySQL) {
  17. t = SELECT entity_id, end_date, price_date, nav AS cumulative_nav, ret AS ret_1m, ret AS ret_1m_a, trailing_ret AS ret_3m, trailing_ret_a AS ret_3m_a
  18. FROM indicators['PBI-3M'] AS ind
  19. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  20. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  21. UPDATE t
  22. SET ret_6m = trailing_ret, ret_6m_a = trailing_ret_a
  23. FROM ej(t, indicators['PBI-6M'], ['entity_id', 'end_date']);
  24. UPDATE t
  25. SET ret_1y = trailing_ret, ret_1y_a = trailing_ret_a
  26. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  27. UPDATE t
  28. SET ret_2y = trailing_ret, ret_2y_a = trailing_ret_a
  29. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  30. UPDATE t
  31. SET ret_3y = trailing_ret, ret_3y_a = trailing_ret_a
  32. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  33. UPDATE t
  34. SET ret_4y = trailing_ret, ret_4y_a = trailing_ret_a
  35. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  36. UPDATE t
  37. SET ret_5y = trailing_ret, ret_5y_a = trailing_ret_a
  38. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  39. UPDATE t
  40. SET ret_10y = trailing_ret, ret_10y_a = trailing_ret_a
  41. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  42. UPDATE t
  43. SET ret_ytd = trailing_ret, ret_ytd_a = trailing_ret_a
  44. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  45. // 取消了 ret_incep_a_all (没意义) 和 ret_incep_a_gips (ret_incep_a 与之相等)
  46. UPDATE t
  47. SET ret_incep = trailing_ret, ret_incep_a = trailing_ret_a
  48. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  49. INSERT INTO entity_performance SELECT * FROM t;
  50. } else {
  51. }
  52. }
  53. /*
  54. * 按照 XXX_risk_stats 表结构准备数据记录
  55. *
  56. *
  57. */
  58. def generate_entity_risk_stats(entity_info, indicators, isToMySQL, mutable entity_risk_stats) {
  59. t = null;
  60. if(isToMySQL) {
  61. t = SELECT entity_id, end_date, std_dev_a AS stddev_6m, ds_dev_a AS downsidedev_6m, alpha_a AS alpha_6m, winrate AS winrate_6m, beta AS beta_6m,
  62. skewness AS skewness_6m, kurtosis AS kurtosis_6m, wrst_month AS worstmonth_6m, drawdown AS maxdrawdown_6m // mfdb中的真实字段名是 6m_maxdrawdown
  63. FROM indicators['PBI-6M'] AS ind
  64. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  65. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  66. UPDATE t
  67. SET stddev_1y = std_dev_a, downsidedev_1y = ds_dev_a, alpha_1y = alpha_a, winrate_1y = winrate, beta_1y = beta,
  68. skewness_1y = skewness, kurtosis_1y = kurtosis, worstmonth_1y = wrst_month, maxdrawdown_1y = drawdown
  69. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  70. UPDATE t
  71. SET stddev_2y = std_dev_a, downsidedev_2y = ds_dev_a, alpha_2y = alpha_a, winrate_2y = winrate, beta_2y = beta,
  72. skewness_2y = skewness, kurtosis_2y = kurtosis, worstmonth_2y = wrst_month, maxdrawdown_2y = drawdown
  73. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  74. UPDATE t
  75. SET stddev_3y = std_dev_a, downsidedev_3y = ds_dev_a, alpha_3y = alpha_a, winrate_3y = winrate, beta_3y = beta,
  76. skewness_3y = skewness, kurtosis_3y = kurtosis, worstmonth_3y = wrst_month, maxdrawdown_3y = drawdown
  77. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  78. UPDATE t
  79. SET stddev_4y = std_dev_a, downsidedev_4y = ds_dev_a, alpha_4y = alpha_a, winrate_4y = winrate, beta_4y = beta,
  80. skewness_4y = skewness, kurtosis_4y = kurtosis, worstmonth_4y = wrst_month, maxdrawdown_4y = drawdown
  81. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  82. UPDATE t
  83. SET stddev_5y = std_dev_a, downsidedev_5y = ds_dev_a, alpha_5y = alpha_a, winrate_5y = winrate, beta_5y = beta,
  84. skewness_5y = skewness, kurtosis_5y = kurtosis, worstmonth_5y = wrst_month, maxdrawdown_5y = drawdown
  85. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  86. UPDATE t
  87. SET stddev_10y = std_dev_a, downsidedev_10y = ds_dev_a, alpha_10y = alpha_a, winrate_10y = winrate, beta_10y = beta,
  88. skewness_10y = skewness, kurtosis_10y = kurtosis, worstmonth_10y = wrst_month, maxdrawdown_10y = drawdown
  89. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  90. UPDATE t
  91. SET stddev_ytd = std_dev_a, downsidedev_ytd = ds_dev_a, alpha_ytd = alpha_a, winrate_ytd = winrate, beta_ytd = beta,
  92. skewness_ytd = skewness, kurtosis_ytd = kurtosis, worstmonth_ytd = wrst_month, maxdrawdown_ytd = drawdown // mfdb中的真实字段名是 ytd_maxdrawdown
  93. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  94. UPDATE t
  95. SET stddev_incep = std_dev_a, downsidedev_incep = ds_dev_a, alpha_incep = alpha_a, winrate_incep = winrate, beta_incep = beta,
  96. skewness_incep = skewness, kurtosis_incep = kurtosis, worstmonth_incep = wrst_month, maxdrawdown_incep = drawdown
  97. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  98. INSERT INTO entity_risk_stats SELECT * FROM t;
  99. } else {
  100. }
  101. }
  102. /*
  103. * 按照 XXX_riskadjret_stats 表结构准备数据记录
  104. *
  105. *
  106. */
  107. def generate_entity_riskadjret_stats(entity_info, indicators, isToMySQL, mutable entity_riskadjret_stats) {
  108. t = null;
  109. if(isToMySQL) {
  110. t = SELECT entity_id, end_date,
  111. sharpe_a AS sharperatio_6m, sortino_a AS sortinoratio_6m, treynor AS treynorratio_6m, jensen_a AS jensen_6m,
  112. calmar AS calmarratio_6m, omega AS omegaratio_6m, kappa AS kapparatio_6m
  113. FROM indicators['PBI-6M'] AS ind
  114. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  115. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  116. UPDATE t
  117. SET sharperatio_1y = sharpe_a, sortinoratio_1y = sortino_a, treynorratio_1y = treynor, jensen_1y = jensen_a,
  118. calmarratio_1y = calmar, omegaratio_1y = omega, kapparatio_1y = kappa
  119. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  120. UPDATE t
  121. SET sharperatio_2y = sharpe_a, sortinoratio_2y = sortino_a, treynorratio_2y = treynor, jensen_2y = jensen_a,
  122. calmarratio_2y = calmar, omegaratio_2y = omega, kapparatio_2y = kappa
  123. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  124. UPDATE t
  125. SET sharperatio_3y = sharpe_a, sortinoratio_3y = sortino_a, treynorratio_3y = treynor, jensen_3y = jensen_a,
  126. calmarratio_3y = calmar, omegaratio_3y = omega, kapparatio_3y = kappa
  127. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  128. UPDATE t
  129. SET sharperatio_4y = sharpe_a, sortinoratio_4y = sortino_a, treynorratio_4y = treynor, jensen_4y = jensen_a,
  130. calmarratio_4y = calmar, omegaratio_4y = omega, kapparatio_4y = kappa
  131. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  132. UPDATE t
  133. SET sharperatio_5y = sharpe_a, sortinoratio_5y = sortino_a, treynorratio_5y = treynor, jensen_5y = jensen_a,
  134. calmarratio_5y = calmar, omegaratio_5y = omega, kapparatio_5y = kappa
  135. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  136. UPDATE t
  137. SET sharperatio_10y = sharpe_a, sortinoratio_10y = sortino_a, treynorratio_10y = treynor, jensen_10y = jensen_a,
  138. calmarratio_10y = calmar, omegaratio_10y = omega, kapparatio_10y = kappa
  139. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  140. UPDATE t
  141. SET sharperatio_ytd = sharpe_a, sortinoratio_ytd = sortino_a, treynorratio_ytd = treynor, jensen_ytd = jensen_a,
  142. calmarratio_ytd = calmar, omegaratio_ytd = omega, kapparatio_ytd = kappa
  143. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  144. UPDATE t
  145. SET sharperatio_incep = sharpe_a, sortinoratio_incep = sortino_a, treynorratio_incep = treynor, jensen_incep = jensen_a,
  146. calmarratio_incep = calmar, omegaratio_incep = omega, kapparatio_incep = kappa
  147. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  148. INSERT INTO entity_riskadjret_stats SELECT * FROM t;
  149. } else {
  150. }
  151. }
  152. /*
  153. * 按照 XXX_indicator 表结构准备数据记录
  154. *
  155. *
  156. */
  157. def generate_entity_indicator(entity_info, indicators, isToMySQL, mutable entity_indicator) {
  158. t = null;
  159. if(isToMySQL) {
  160. t = SELECT entity_id, end_date, info_a AS info_ratio_6m, m2_a AS m2_6m, track_error_a AS tracking_error_6m
  161. FROM indicators['PBI-6M'] AS ind
  162. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  163. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  164. UPDATE t
  165. SET info_ratio_1y = info_a, m2_1y = m2_a, tracking_error_1y = track_error_a
  166. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  167. UPDATE t
  168. SET info_ratio_2y = info_a, m2_2y = m2_a, tracking_error_2y = track_error_a, var_2y = var, cvar_2y = cvar
  169. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  170. UPDATE t
  171. SET info_ratio_3y = info_a, m2_3y = m2_a, tracking_error_3y = track_error_a, var_3y = var, cvar_3y = cvar
  172. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  173. UPDATE t
  174. SET info_ratio_4y = info_a, m2_4y = m2_a, tracking_error_4y = track_error_a, var_4y = var, cvar_4y = cvar
  175. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  176. UPDATE t
  177. SET info_ratio_5y = info_a, m2_5y = m2_a, tracking_error_5y = track_error_a, var_5y = var, cvar_5y = cvar
  178. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  179. UPDATE t
  180. SET info_ratio_10y = info_a, m2_10y = m2_a, tracking_error_10y = track_error_a, var_10y = var, cvar_10y = cvar
  181. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  182. UPDATE t
  183. SET info_ratio_ytd = info_a, m2_ytd = m2_a, tracking_error_ytd = track_error_a
  184. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  185. UPDATE t
  186. SET info_ratio_incep = info_a, m2_incep = m2_a, tracking_error_incep = track_error_a, var_incep = var, cvar_incep = cvar
  187. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  188. INSERT INTO entity_indicator SELECT * FROM t;
  189. } else {
  190. }
  191. }
  192. /*
  193. * 按照 XXX_style_stats 表结构准备数据记录
  194. *
  195. *
  196. */
  197. def generate_entity_style_stats(entity_info, indicators, isToMySQL, mutable entity_style_stats) {
  198. t = null;
  199. if(isToMySQL) {
  200. t = SELECT entity_id, end_date, upside_capture_ret AS upsidecapture_ret_6m, downside_capture_ret AS downsidecapture_ret_6m,
  201. upside_capture_ratio AS upsidecapture_ratio_6m, downside_capture_ratio AS downsidecapture_ratio_6m
  202. FROM indicators['PBI-6M'] AS ind
  203. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  204. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  205. UPDATE t
  206. SET upsidecapture_ret_1y = upside_capture_ret, downsidecapture_ret_1y = downside_capture_ret,
  207. upsidecapture_ratio_1y = upside_capture_ratio, downsidecapture_ratio_1y = downside_capture_ratio
  208. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  209. UPDATE t
  210. SET upsidecapture_ret_2y = upside_capture_ret, downsidecapture_ret_2y = downside_capture_ret,
  211. upsidecapture_ratio_2y = upside_capture_ratio, downsidecapture_ratio_2y = downside_capture_ratio
  212. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  213. UPDATE t
  214. SET upsidecapture_ret_3y = upside_capture_ret, downsidecapture_ret_3y = downside_capture_ret,
  215. upsidecapture_ratio_3y = upside_capture_ratio, downsidecapture_ratio_3y = downside_capture_ratio
  216. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  217. UPDATE t
  218. SET upsidecapture_ret_4y = upside_capture_ret, downsidecapture_ret_4y = downside_capture_ret,
  219. upsidecapture_ratio_4y = upside_capture_ratio, downsidecapture_ratio_4y = downside_capture_ratio
  220. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  221. UPDATE t
  222. SET upsidecapture_ret_5y = upside_capture_ret, downsidecapture_ret_5y = downside_capture_ret,
  223. upsidecapture_ratio_5y = upside_capture_ratio, downsidecapture_ratio_5y = downside_capture_ratio
  224. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  225. UPDATE t
  226. SET upsidecapture_ret_10y = upside_capture_ret, downsidecapture_ret_10y = downside_capture_ret,
  227. upsidecapture_ratio_10y = upside_capture_ratio, downsidecapture_ratio_10y = downside_capture_ratio
  228. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  229. UPDATE t
  230. SET upsidecapture_ret_ytd = upside_capture_ret, downsidecapture_ret_ytd = downside_capture_ret,
  231. upsidecapture_ratio_ytd = upside_capture_ratio, downsidecapture_ratio_ytd = downside_capture_ratio
  232. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  233. UPDATE t
  234. SET upsidecapture_ret_incep = upside_capture_ret, downsidecapture_ret_incep = downside_capture_ret,
  235. upsidecapture_ratio_incep = upside_capture_ratio, downsidecapture_ratio_incep = downside_capture_ratio
  236. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  237. INSERT INTO entity_style_stats SELECT * FROM t;
  238. } else {
  239. }
  240. }
  241. /*
  242. * 按照 XXX_performance_weekly 表结构准备数据记录
  243. *
  244. *
  245. */
  246. def generate_entity_performance_weekly(entity_info, ret_w, isToMySQL, mutable entity_performance_weekly) {
  247. t = null;
  248. if(isToMySQL) {
  249. t = SELECT entity_id, year_week, year_week.left(4)$INT AS end_year, year_week.right(2)$INT AS week_of_year, price_date,
  250. cumulative_nav, ret_1w
  251. FROM ret_w r
  252. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  253. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  254. INSERT INTO entity_performance_weekly SELECT * FROM t;
  255. } else {
  256. }
  257. }
  258. /*
  259. * 按照 XXX_latest_performance 表结构准备数据记录
  260. *
  261. *
  262. */
  263. def generate_entity_latest_performance(entity_info, perf_latest, isToMySQL, mutable entity_latest_performance) {
  264. t = null;
  265. if(isToMySQL) {
  266. t = SELECT r.*
  267. FROM perf_latest r
  268. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  269. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  270. INSERT INTO entity_latest_performance SELECT * FROM t;
  271. } else {
  272. }
  273. }
  274. /*
  275. * 定时任务:最新净值触发的业绩指标计算
  276. *
  277. * @param entityType <STRING>: 'MF', 'HF'...
  278. * @param date <DATETIME>: 净值更新时间
  279. *
  280. * NOTE: 与Java不同的是当月indicator计算每日触发,不必等到Month-end production
  281. */
  282. def calFundPerformance(entityType, date) {
  283. rt = '';
  284. very_old_date = 1990.01.01;
  285. if(find(['HF', 'MF'], entityType) < 0) return null;
  286. // 取有最新净值变动的基金列表 (1s)
  287. tb_cal_funds = get_entity_list_by_nav_updatetime(entityType, NULL, date, true);
  288. if(tb_cal_funds.isVoid() || tb_cal_funds.size() == 0 ) return;
  289. tb_fund_performance = create_entity_performance();
  290. tb_fund_indicator = create_entity_indicator();
  291. tb_fund_risk_stats = create_entity_risk_stats();
  292. tb_fund_riskadjret_stats = create_entity_riskadjret_stats();
  293. tb_fund_style_stats = create_entity_style_stats();
  294. tb_fund_performance_weekly = create_entity_performance_weekly();
  295. tb_fund_latest_performance = create_entity_latest_performance();
  296. // 分批跑
  297. i = 0;
  298. batch_size = 1000;
  299. do {
  300. funds = tb_cal_funds[i : min(tb_cal_funds.size(), i+batch_size)];
  301. //funds = SELECT * FROM tb_cal_funds WHERE entity_id in ('MF00003PXI', 'MF00003PXX')
  302. if(funds.isVoid() || funds.size() == 0) break;
  303. // 200ms
  304. fund_info = SELECT entity_id, price_date, inception_date, benchmark_id, ini_value
  305. FROM ej(funds, get_fund_info(funds.entity_id), 'entity_id', 'fund_id');
  306. // 计算月收益 (12s)
  307. rets = mix_monthly_returns(entityType, fund_info);
  308. if(!rets.isVoid() && rets.size() > 0) {
  309. // 计算月度指标 (56s)
  310. rets.rename!('cumulative_nav', 'nav');
  311. indicators = cal_monthly_indicators(entityType, 'PBI', rets);
  312. // 仿照MySQL的表结构准备好记录 (1s)
  313. generate_entity_performance(fund_info, indicators, true, tb_fund_performance);
  314. generate_entity_indicator(fund_info, indicators, true, tb_fund_indicator);
  315. generate_entity_risk_stats(fund_info, indicators, true, tb_fund_risk_stats);
  316. generate_entity_riskadjret_stats(fund_info, indicators, true, tb_fund_riskadjret_stats);
  317. generate_entity_style_stats(fund_info, indicators, true, tb_fund_style_stats);
  318. }
  319. // 计算周收益 (8s)
  320. rets_w = cal_weekly_returns(entityType, fund_info);
  321. if(! rets_w.isVoid() && rets_w.size() > 0) {
  322. generate_entity_performance_weekly(fund_info, rets_w, true, tb_fund_performance_weekly);
  323. }
  324. // 计算最新收益 (69s)
  325. perf_latest = cal_latest_performance(entityType, fund_info, true);
  326. if(! perf_latest.isVoid() && perf_latest.size() > 0) {
  327. generate_entity_latest_performance(fund_info, perf_latest, true, tb_fund_latest_performance);
  328. }
  329. i += batch_size;
  330. // } while (i < batch_size);
  331. } while (i <= tb_cal_funds.size());
  332. if(! tb_fund_performance.isVoid() && tb_fund_performance.size() > 0) {
  333. // save data to MySQL (13s)
  334. try {
  335. chg_columns_for_mysql(tb_fund_performance, 'fund_id');
  336. save_and_sync(tb_fund_performance, 'raw_db.fund_performance', 'raw_db.fund_performance');
  337. chg_columns_for_mysql(tb_fund_indicator, 'fund_id');
  338. save_and_sync(tb_fund_indicator, 'raw_db.fund_indicator', 'raw_db.fund_indicator');
  339. chg_columns_for_mysql(tb_fund_risk_stats, 'fund_id');
  340. // mfdb.fund_performance 表中 maxdrawdown_6m & maxdrawdown_ytd 是虚拟列,这里用数据列顺序强行写入真实列 6m_maxdrawdown & ytd_maxdrawdown (DolphinDB 不允许字段名以数字开头)
  341. save_and_sync(tb_fund_risk_stats, 'raw_db.fund_risk_stats', 'raw_db.fund_risk_stats');
  342. chg_columns_for_mysql(tb_fund_riskadjret_stats, 'fund_id');
  343. save_and_sync(tb_fund_riskadjret_stats, 'raw_db.fund_riskadjret_stats', 'raw_db.fund_riskadjret_stats');
  344. chg_columns_for_mysql(tb_fund_style_stats, 'fund_id');
  345. save_and_sync(tb_fund_style_stats, 'raw_db.fund_style_stats', 'raw_db.fund_style_stats');
  346. save_and_sync(tb_fund_performance_weekly, 'raw_db.fund_performance_weekly', 'raw_db.fund_performance_weekly');
  347. save_and_sync(tb_fund_latest_performance, 'raw_db.fund_latest_performance', 'raw_db.fund_latest_nav_performance');
  348. } catch(ex) {
  349. //TODO: Log errors
  350. rt = ex;
  351. }
  352. }
  353. return rt;
  354. }
  355. def calFundIndexCorrelation(entityType, date) {
  356. if(find(['HF', 'MF'], entityType) < 0) return null;
  357. // 取有最新净值变动的基金列表 (1s)
  358. tb_cal_funds = get_entity_list_by_nav_updatetime(entityType, NULL, date, true);
  359. if(tb_cal_funds.isVoid() || tb_cal_funds.size() == 0 ) return;
  360. // tb_fund_index_coe = create_entity_index_coe();
  361. // (7m)
  362. coe = cal_entity_index_coe(entityType, tb_cal_funds[0:1000]);
  363. return coe;
  364. }