dataSaver.dos 40 KB

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  1. module fundit::dataSaver
  2. use fundit::sqlUtilities
  3. /*
  4. * 存数据表到mySQL或本地dolphindb,原数据表会被TRUNCATE
  5. *
  6. * save_table(tb_fund_performance, "raw_db.fund_performance", false)
  7. */
  8. def save_table(tb, table_name, isToMySQL) {
  9. if(isToMySQL == true) {
  10. conn = connect_mysql('raw_db');
  11. odbc::execute(conn, "TRUNCATE TABLE " + table_name + "_dolphin");
  12. odbc::append(conn, tb, table_name + "_dolphin", false);
  13. conn.close();
  14. } else {
  15. db = get_local_database("fundit", table_name.split(".")[0]);
  16. //local_table = loadTable(db, table_name.split(".")[1]);
  17. saveTable(db, tb, table_name.split(".")[1]);
  18. }
  19. }
  20. /*
  21. * 【临时】 用于将dolphin table 存到 mysql
  22. *
  23. */
  24. def save_table2(tb, table_name, isCreateTable) {
  25. tb.addColumn(['creatorid', 'createtime', 'updaterid', 'updatetime'], [INT, DATETIME, INT, DATETIME]);
  26. conn = connect_mysql('raw_db');
  27. odbc::append(conn, tb, table_name , isCreateTable, false);
  28. conn.close()
  29. }
  30. /*
  31. * 存私募基金净值到本地dolphindb
  32. *
  33. * save_hedge_fund_nav_to_local(tb_nav)
  34. */
  35. def save_hedge_fund_nav_to_local(tb_nav) {
  36. save_table(tb_nav, "mfdb.nav", false)
  37. }
  38. /*
  39. * 将数据存到本地,之后传回MySQL并同步至正式表
  40. *
  41. *
  42. */
  43. def save_and_sync(table, source_table_name, target_table_name) {
  44. save_table(table, source_table_name, true);
  45. t_table_name = iif(target_table_name.isNothing(), source_table_name, target_table_name);
  46. s_query = "CALL raw_db.sp_sync_table_from_dolphin('" + source_table_name + "_dolphin', '" + t_table_name + "');"
  47. conn = connect_mysql('raw_db');
  48. odbc::execute(conn, s_query);
  49. conn.close();
  50. }
  51. /*
  52. * 建表 XXXX_nav
  53. */
  54. def create_entity_nav(is_id_integer=false) {
  55. return table(1000:0,
  56. ['entity_id', 'price_date', 'cumulative_nav'],
  57. [iif(is_id_integer, INT, SYMBOL), DATE, DOUBLE]);
  58. }
  59. /*
  60. * 建表 XXXX_fitted_curve
  61. */
  62. def create_entity_fitted_curve() {
  63. return table(1000:0,
  64. ['entity_id', 'curve_type', 'strategy', 'end_date', 'cumulative_nav', 'fund_num'],
  65. [SYMBOL, INT, INT, STRING, DOUBLE, INT]);
  66. }
  67. /*
  68. * 建表 XXXX_performance
  69. */
  70. def create_entity_performance(is_id_integer=false) {
  71. return table(1000:0,
  72. ['entity_id', 'end_date', 'price_date', 'cumulative_nav',
  73. 'ret_1m', 'ret_1m_a', 'ret_3m', 'ret_3m_a', 'ret_6m', 'ret_6m_a',
  74. 'ret_1y', 'ret_1y_a', 'ret_2y', 'ret_2y_a', 'ret_3y', 'ret_3y_a', 'ret_4y', 'ret_4y_a',
  75. 'ret_5y', 'ret_5y_a', 'ret_10y', 'ret_10y_a', 'ret_ytd', 'ret_ytd_a', 'ret_incep', 'ret_incep_a'],
  76. [iif(is_id_integer, INT, SYMBOL), MONTH, DATE, DOUBLE,
  77. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  78. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  79. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  80. }
  81. /*
  82. * 建表 XXX_indicator
  83. */
  84. def create_entity_indicator(is_id_integer=false) {
  85. return table(1000:0,
  86. ['entity_id', 'end_date',
  87. 'info_ratio_6m', 'm2_6m', 'tracking_error_6m',
  88. 'info_ratio_1y', 'm2_1y', 'tracking_error_1y',
  89. 'info_ratio_2y', 'm2_2y', 'tracking_error_2y', 'var_2y', 'cvar_2y',
  90. 'info_ratio_3y', 'm2_3y', 'tracking_error_3y', 'var_3y', 'cvar_3y',
  91. 'info_ratio_4y', 'm2_4y', 'tracking_error_4y', 'var_4y', 'cvar_4y',
  92. 'info_ratio_5y', 'm2_5y', 'tracking_error_5y', 'var_5y', 'cvar_5y',
  93. 'info_ratio_10y', 'm2_10y', 'tracking_error_10y', 'var_10y', 'cvar_10y',
  94. 'info_ratio_ytd', 'm2_ytd', 'tracking_error_ytd',
  95. 'info_ratio_incep', 'm2_incep','tracking_error_incep', 'var_incep', 'cvar_incep'],
  96. [iif(is_id_integer, INT, SYMBOL), MONTH,
  97. DOUBLE, DOUBLE, DOUBLE,
  98. DOUBLE, DOUBLE, DOUBLE,
  99. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  100. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  101. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  102. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  103. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  104. DOUBLE, DOUBLE, DOUBLE,
  105. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  106. }
  107. /*
  108. * 建表 XXX_risk_stats
  109. *
  110. * NOTE: mfdb.fund_risk_stats 中 maxdrawdown_6m 和 maxdrawdown_ytd 因不明原因分别是 6m_maxdrawdown 和 ytd_maxdrawdown 的虚拟列!
  111. */
  112. def create_entity_risk_stats(is_id_integer=false) {
  113. return table(1000:0,
  114. ['entity_id', 'end_date',
  115. 'stddev_6m', 'downsidedev_6m', 'alpha_6m', 'winrate_6m', 'beta_6m', 'skewness_6m', 'kurtosis_6m', 'worstmonth_6m', 'maxdrawdown_6m',
  116. 'stddev_1y', 'downsidedev_1y', 'alpha_1y', 'winrate_1y', 'beta_1y', 'skewness_1y', 'kurtosis_1y', 'worstmonth_1y', 'maxdrawdown_1y',
  117. 'stddev_2y', 'downsidedev_2y', 'alpha_2y', 'winrate_2y', 'beta_2y', 'skewness_2y', 'kurtosis_2y', 'worstmonth_2y', 'maxdrawdown_2y',
  118. 'stddev_3y', 'downsidedev_3y', 'alpha_3y', 'winrate_3y', 'beta_3y', 'skewness_3y', 'kurtosis_3y', 'worstmonth_3y', 'maxdrawdown_3y',
  119. 'stddev_4y', 'downsidedev_4y', 'alpha_4y', 'winrate_4y', 'beta_4y', 'skewness_4y', 'kurtosis_4y', 'worstmonth_4y', 'maxdrawdown_4y',
  120. 'stddev_5y', 'downsidedev_5y', 'alpha_5y', 'winrate_5y', 'beta_5y', 'skewness_5y', 'kurtosis_5y', 'worstmonth_5y', 'maxdrawdown_5y',
  121. 'stddev_10y', 'downsidedev_10y','alpha_10y', 'winrate_10y', 'beta_10y', 'skewness_10y', 'kurtosis_10y', 'worstmonth_10y', 'maxdrawdown_10y',
  122. 'stddev_ytd', 'downsidedev_ytd', 'alpha_ytd', 'winrate_ytd', 'beta_ytd', 'skewness_ytd', 'kurtosis_ytd', 'worstmonth_ytd', 'maxdrawdown_ytd',
  123. 'stddev_incep', 'downsidedev_incep', 'alpha_incep', 'winrate_incep', 'beta_incep', 'skewness_incep', 'kurtosis_incep', 'worstmonth_incep', 'maxdrawdown_incep'],
  124. [iif(is_id_integer, INT, SYMBOL), MONTH,
  125. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  126. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  127. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  128. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  129. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  130. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  131. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  132. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  133. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  134. }
  135. /*
  136. * 建表 XXX_riskadjret_stats
  137. */
  138. def create_entity_riskadjret_stats(is_id_integer=false) {
  139. return table(1000:0,
  140. ['entity_id', 'end_date',
  141. 'sharperatio_6m', 'sortinoratio_6m', 'treynorratio_6m', 'jensen_6m', 'calmarratio_6m', 'omegaratio_6m', 'kapparatio_6m',
  142. 'sharperatio_1y', 'sortinoratio_1y', 'treynorratio_1y', 'jensen_1y', 'calmarratio_1y', 'omegaratio_1y', 'kapparatio_1y',
  143. 'sharperatio_2y', 'sortinoratio_2y', 'treynorratio_2y', 'jensen_2y', 'calmarratio_2y', 'omegaratio_2y', 'kapparatio_2y',
  144. 'sharperatio_3y', 'sortinoratio_3y', 'treynorratio_3y', 'jensen_3y', 'calmarratio_3y', 'omegaratio_3y', 'kapparatio_3y',
  145. 'sharperatio_4y', 'sortinoratio_4y', 'treynorratio_4y', 'jensen_4y', 'calmarratio_4y', 'omegaratio_4y', 'kapparatio_4y',
  146. 'sharperatio_5y', 'sortinoratio_5y', 'treynorratio_5y', 'jensen_5y', 'calmarratio_5y', 'omegaratio_5y', 'kapparatio_5y',
  147. 'sharperatio_10y', 'sortinoratio_10y', 'treynorratio_10y', 'jensen_10y', 'calmarratio_10y', 'omegaratio_10y', 'kapparatio_10y',
  148. 'sharperatio_ytd', 'sortinoratio_ytd', 'treynorratio_ytd', 'jensen_ytd', 'calmarratio_ytd', 'omegaratio_ytd', 'kapparatio_ytd',
  149. 'sharperatio_incep', 'sortinoratio_incep', 'treynorratio_incep', 'jensen_incep', 'calmarratio_incep', 'omegaratio_incep', 'kapparatio_incep'],
  150. [iif(is_id_integer, INT, SYMBOL), MONTH,
  151. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  152. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  153. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  154. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  155. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  156. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  157. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  158. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  159. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  160. }
  161. /*
  162. * 建表 XXX_style_stats
  163. */
  164. def create_entity_style_stats(is_id_integer=false) {
  165. return table(1000:0,
  166. ['entity_id', 'end_date',
  167. 'upsidecapture_ret_6m', 'downsidecapture_ret_6m', 'upsidecapture_ratio_6m', 'downsidecapture_ratio_6m',
  168. 'upsidecapture_ret_1y', 'downsidecapture_ret_1y', 'upsidecapture_ratio_1y', 'downsidecapture_ratio_1y',
  169. 'upsidecapture_ret_2y', 'downsidecapture_ret_2y', 'upsidecapture_ratio_2y', 'downsidecapture_ratio_2y',
  170. 'upsidecapture_ret_3y', 'downsidecapture_ret_3y', 'upsidecapture_ratio_3y', 'downsidecapture_ratio_3y',
  171. 'upsidecapture_ret_4y', 'downsidecapture_ret_4y', 'upsidecapture_ratio_4y', 'downsidecapture_ratio_4y',
  172. 'upsidecapture_ret_5y', 'downsidecapture_ret_5y', 'upsidecapture_ratio_5y', 'downsidecapture_ratio_5y',
  173. 'upsidecapture_ret_10y', 'downsidecapture_ret_10y', 'upsidecapture_ratio_10y', 'downsidecapture_ratio_10y',
  174. 'upsidecapture_ret_ytd', 'downsidecapture_ret_ytd', 'upsidecapture_ratio_ytd', 'downsidecapture_ratio_ytd',
  175. 'upsidecapture_ret_incep', 'downsidecapture_ret_incep', 'upsidecapture_ratio_incep', 'downsidecapture_ratio_incep'],
  176. [iif(is_id_integer, INT, SYMBOL), MONTH,
  177. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  178. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  179. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  180. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  181. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  182. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  183. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  184. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  185. DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  186. }
  187. /*
  188. * 建表 XXX_bfi_bm_indicator
  189. */
  190. def create_entity_bfi_indicator(is_id_integer=false) {
  191. return table(1000:0,
  192. ['entity_id', 'end_date', 'factor_id',
  193. 'upsidecapture_ret_6m', 'downsidecapture_ret_6m', 'upsidecapture_ratio_6m', 'downsidecapture_ratio_6m',
  194. 'alpha_6m', 'winrate_6m', 'beta_6m', 'info_ratio_6m', 'tracking_error_6m', 'jensen_6m',
  195. 'upsidecapture_ret_1y', 'downsidecapture_ret_1y', 'upsidecapture_ratio_1y', 'downsidecapture_ratio_1y',
  196. 'alpha_1y', 'winrate_1y', 'beta_1y', 'info_ratio_1y', 'tracking_error_1y', 'jensen_1y',
  197. 'upsidecapture_ret_2y', 'downsidecapture_ret_2y', 'upsidecapture_ratio_2y', 'downsidecapture_ratio_2y',
  198. 'alpha_2y', 'winrate_2y', 'beta_2y', 'info_ratio_2y', 'tracking_error_2y', 'jensen_2y',
  199. 'upsidecapture_ret_3y', 'downsidecapture_ret_3y', 'upsidecapture_ratio_3y', 'downsidecapture_ratio_3y',
  200. 'alpha_3y', 'winrate_3y', 'beta_3y', 'info_ratio_3y', 'tracking_error_3y', 'jensen_3y',
  201. 'upsidecapture_ret_4y', 'downsidecapture_ret_4y', 'upsidecapture_ratio_4y', 'downsidecapture_ratio_4y',
  202. 'alpha_4y', 'winrate_4y', 'beta_4y', 'info_ratio_4y', 'tracking_error_4y', 'jensen_4y',
  203. 'upsidecapture_ret_5y', 'downsidecapture_ret_5y', 'upsidecapture_ratio_5y', 'downsidecapture_ratio_5y',
  204. 'alpha_5y', 'winrate_5y', 'beta_5y', 'info_ratio_5y', 'tracking_error_5y', 'jensen_5y',
  205. 'upsidecapture_ret_10y', 'downsidecapture_ret_10y', 'upsidecapture_ratio_10y', 'downsidecapture_ratio_10y',
  206. 'alpha_10y', 'winrate_10y', 'beta_10y', 'info_ratio_10y', 'tracking_error_10y', 'jensen_10y',
  207. 'upsidecapture_ret_ytd', 'downsidecapture_ret_ytd', 'upsidecapture_ratio_ytd', 'downsidecapture_ratio_ytd',
  208. 'alpha_ytd', 'winrate_ytd', 'beta_ytd', 'info_ratio_ytd', 'tracking_error_ytd', 'jensen_ytd',
  209. 'upsidecapture_ret_incep', 'downsidecapture_ret_incep', 'upsidecapture_ratio_incep', 'downsidecapture_ratio_incep',
  210. 'alpha_incep', 'winrate_incep', 'beta_incep', 'info_ratio_incep', 'tracking_error_incep', 'jensen_incep'],
  211. [iif(is_id_integer, INT, SYMBOL), MONTH, SYMBOL,
  212. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  213. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  214. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  215. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  216. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  217. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  218. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  219. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  220. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  221. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  222. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  223. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  224. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  225. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  226. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  227. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  228. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  229. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE] );
  230. }
  231. /*
  232. * 建表 xxx_performance_weekly
  233. */
  234. def create_entity_performance_weekly(is_id_integer=false) {
  235. return table(1000:0,
  236. ['entity_id', 'year_week', 'end_year', 'week_of_year', 'price_date', 'cumulative_nav', 'ret_1w'],
  237. [iif(is_id_integer, INT, SYMBOL), STRING, STRING, SHORT, DATE, DOUBLE, DOUBLE]);
  238. }
  239. /*
  240. * 建表 xxx_latest_performance
  241. */
  242. def create_entity_latest_performance(is_id_integer=false) {
  243. return table(1000:0,
  244. ['entity_id', 'end_date', 'price_date', 'pre_price_date', 'nav', 'cumulative_nav',
  245. 'net_value_change', 'ret_1d', 'ret_1w', 'ret_1m', 'ret_3m', 'ret_6m',
  246. 'ret_1y', 'ret_2y', 'ret_3y', 'ret_4y', 'ret_5y', 'ret_10y', 'ret_ytd', 'ret_incep', 'ret_incep_a', 'ret_incep_a_all', 'ret_incep_a_gips',
  247. 'maxdrawdown_1m', 'maxdrawdown_3m', 'maxdrawdown_1y', 'maxdrawdown_incep', 'calmarratio_incep',
  248. 'ret_1y_a', 'ret_2y_a', 'ret_3y_a', 'ret_4y_a', 'ret_5y_a', 'ret_10y_a'],
  249. [iif(is_id_integer, INT, SYMBOL), STRING, DATE, DATE, DOUBLE, DOUBLE,
  250. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  251. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  252. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  253. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  254. }
  255. /*
  256. * 建表 xxx_index_coe
  257. *
  258. */
  259. def create_entity_index_coe(is_id_integer=false) {
  260. return table(1000:0,
  261. ['entity_id', 'end_date', 'index_id',
  262. 'coe_1y', 'coe_3y', 'coe_5y', 'info_ratio_1y', 'info_ratio_3y', 'info_ratio_5y',
  263. 't_value_1y', 't_value_3y', 't_value_5y', 'beta_1y', 'beta_3y', 'beta_5y'],
  264. [iif(is_id_integer, INT, SYMBOL), MONTH, SYMBOL,
  265. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  266. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  267. }
  268. /*
  269. * 建表 xxx_factor_bfi_max_r2
  270. *
  271. */
  272. def create_entity_bfi_max_r2(is_id_integer=false) {
  273. return table(1000:0,
  274. ['entity_id', 'end_date', 'factor_id', 'coe', 'r2', 'performance_flag', 'rz_portrait'],
  275. [iif(is_id_integer, INT, SYMBOL), MONTH, SYMBOL, DOUBLE, DOUBLE, STRING, STRING]);
  276. }
  277. /*
  278. * 建表 xxx_factor_bfi
  279. *
  280. */
  281. def create_entity_factor_bfi(is_id_integer=false) {
  282. return table(1000:0,
  283. ['entity_id', 'end_date', 'factor_id',
  284. 'coe', 'r2', 'performance_flag', 't_value_1y', 'beta_1y'],
  285. [iif(is_id_integer, INT, SYMBOL), MONTH, SYMBOL,
  286. DOUBLE, DOUBLE, STRING, DOUBLE, DOUBLE]);
  287. }
  288. /*
  289. * 建表 XXXX_indicator_ranking
  290. */
  291. def create_entity_indicator_ranking(is_id_integer=false) {
  292. return table(1000:0,
  293. ['entity_id', 'end_date', 'category_id', 'indicator_id',
  294. 'indicator_1m', 'absrank_1m', 'perrank_1m', 'indicator_3m', 'absrank_3m', 'perrank_3m',
  295. 'indicator_6m', 'absrank_6m', 'perrank_6m', 'indicator_1y', 'absrank_1y', 'perrank_1y',
  296. 'indicator_2y', 'absrank_2y', 'perrank_2y', 'indicator_3y', 'absrank_3y', 'perrank_3y',
  297. 'indicator_5y', 'absrank_5y', 'perrank_5y',
  298. 'indicator_10y', 'absrank_10y', 'perrank_10y', 'indicator_ytd', 'absrank_ytd', 'perrank_ytd'],
  299. [iif(is_id_integer, INT, SYMBOL), STRING, SYMBOL, INT,
  300. DOUBLE, INT, INT, DOUBLE, INT, INT,
  301. DOUBLE, INT, INT, DOUBLE, INT, INT,
  302. DOUBLE, INT, INT, DOUBLE, INT, INT,
  303. DOUBLE, INT, INT,
  304. DOUBLE, INT, INT, DOUBLE, INT, INT]);
  305. }
  306. /*
  307. * 建表 XXXX_indicator_ranking_num, raise_type 没有用
  308. */
  309. def create_entity_indicator_ranking_num() {
  310. return table(1000:0,
  311. ['end_date', 'category_id', 'raise_type', 'indicator_id',
  312. 'avg_1m', 'avg_1m_cnt', 'perrank_percent_5_1m', 'perrank_percent_10_1m', 'perrank_percent_25_1m', 'perrank_percent_50_1m',
  313. 'perrank_percent_75_1m', 'perrank_percent_90_1m', 'perrank_percent_95_1m', 'best_1m', 'worst_1m',
  314. 'avg_3m', 'avg_3m_cnt', 'perrank_percent_5_3m', 'perrank_percent_10_3m', 'perrank_percent_25_3m', 'perrank_percent_50_3m',
  315. 'perrank_percent_75_3m', 'perrank_percent_90_3m', 'perrank_percent_95_3m', 'best_3m', 'worst_3m',
  316. 'avg_6m', 'avg_6m_cnt', 'perrank_percent_5_6m', 'perrank_percent_10_6m', 'perrank_percent_25_6m', 'perrank_percent_50_6m',
  317. 'perrank_percent_75_6m', 'perrank_percent_90_6m', 'perrank_percent_95_6m', 'best_6m', 'worst_6m',
  318. 'avg_1y', 'avg_1y_cnt', 'perrank_percent_5_1y', 'perrank_percent_10_1y', 'perrank_percent_25_1y', 'perrank_percent_50_1y',
  319. 'perrank_percent_75_1y', 'perrank_percent_90_1y', 'perrank_percent_95_1y', 'best_1y', 'worst_1y',
  320. 'avg_2y', 'avg_2y_cnt', 'perrank_percent_5_2y', 'perrank_percent_10_2y', 'perrank_percent_25_2y', 'perrank_percent_50_2y',
  321. 'perrank_percent_75_2y', 'perrank_percent_90_2y', 'perrank_percent_95_2y', 'best_2y', 'worst_2y',
  322. 'avg_3y', 'avg_3y_cnt', 'perrank_percent_5_3y', 'perrank_percent_10_3y', 'perrank_percent_25_3y', 'perrank_percent_50_3y',
  323. 'perrank_percent_75_3y', 'perrank_percent_90_3y', 'perrank_percent_95_3y', 'best_3y', 'worst_3y',
  324. 'avg_5y', 'avg_5y_cnt', 'perrank_percent_5_5y', 'perrank_percent_10_5y', 'perrank_percent_25_5y', 'perrank_percent_50_5y',
  325. 'perrank_percent_75_5y', 'perrank_percent_90_5y', 'perrank_percent_95_5y', 'best_5y', 'worst_5y',
  326. 'avg_10y', 'avg_10y_cnt', 'perrank_percent_5_10y', 'perrank_percent_10_10y', 'perrank_percent_25_10y', 'perrank_percent_50_10y',
  327. 'perrank_percent_75_10y', 'perrank_percent_90_10y', 'perrank_percent_95_10y', 'best_10y', 'worst_10y',
  328. 'avg_ytd', 'avg_ytd_cnt', 'perrank_percent_5_ytd', 'perrank_percent_10_ytd', 'perrank_percent_25_ytd', 'perrank_percent_50_ytd',
  329. 'perrank_percent_75_ytd', 'perrank_percent_90_ytd', 'perrank_percent_95_ytd', 'best_ytd', 'worst_ytd'],
  330. [STRING, SYMBOL, INT, INT,
  331. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  332. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  333. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  334. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  335. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  336. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  337. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  338. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  339. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  340. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  341. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  342. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  343. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  344. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  345. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  346. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  347. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  348. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE ]);
  349. }
  350. /*
  351. * 根据 mysql 表改动某些字段
  352. */
  353. def chg_columns_for_mysql(mutable tb_mysql, id_col_name) {
  354. tb_mysql.rename!('entity_id', id_col_name);
  355. // 将 dolphinDB 的 MONTH 换成 MySQL 的 YYYY-MM 格式
  356. v_end_date = EXEC end_date.temporalFormat('yyyy-MM') FROM tb_mysql;
  357. tb_mysql.replaceColumn!('end_date', v_end_date);
  358. }
  359. /*
  360. * 按照 XXX_performance 表结构准备数据记录
  361. *
  362. *
  363. */
  364. def generate_entity_performance(entity_info, indicators, isToMySQL, mutable entity_performance) {
  365. t = null;
  366. if(isToMySQL) {
  367. if(indicators['PBI-3M'].isVoid() || indicators['PBI-3M'].size() == 0) return;
  368. t = SELECT entity_id AS 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
  369. FROM indicators['PBI-3M'] AS ind
  370. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  371. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  372. UPDATE t
  373. SET ret_6m = trailing_ret, ret_6m_a = trailing_ret_a
  374. FROM ej(t, indicators['PBI-6M'], ['entity_id', 'end_date']);
  375. UPDATE t
  376. SET ret_1y = trailing_ret, ret_1y_a = trailing_ret_a
  377. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  378. UPDATE t
  379. SET ret_2y = trailing_ret, ret_2y_a = trailing_ret_a
  380. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  381. UPDATE t
  382. SET ret_3y = trailing_ret, ret_3y_a = trailing_ret_a
  383. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  384. UPDATE t
  385. SET ret_4y = trailing_ret, ret_4y_a = trailing_ret_a
  386. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  387. UPDATE t
  388. SET ret_5y = trailing_ret, ret_5y_a = trailing_ret_a
  389. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  390. UPDATE t
  391. SET ret_10y = trailing_ret, ret_10y_a = trailing_ret_a
  392. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  393. UPDATE t
  394. SET ret_ytd = trailing_ret, ret_ytd_a = trailing_ret_a
  395. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  396. // 取消了 ret_incep_a_all (没意义) 和 ret_incep_a_gips (ret_incep_a 与之相等)
  397. UPDATE t
  398. SET ret_incep = trailing_ret, ret_incep_a = trailing_ret_a
  399. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  400. INSERT INTO entity_performance SELECT * FROM t;
  401. } else {
  402. }
  403. }
  404. /*
  405. * 按照 XXX_risk_stats 表结构准备数据记录
  406. *
  407. *
  408. */
  409. def generate_entity_risk_stats(entity_info, indicators, isToMySQL, mutable entity_risk_stats) {
  410. t = null;
  411. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  412. if(isToMySQL) {
  413. 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,
  414. 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
  415. FROM indicators['PBI-6M'] AS ind
  416. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  417. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  418. UPDATE t
  419. SET stddev_1y = std_dev_a, downsidedev_1y = ds_dev_a, alpha_1y = alpha_a, winrate_1y = winrate, beta_1y = beta,
  420. skewness_1y = skewness, kurtosis_1y = kurtosis, worstmonth_1y = wrst_month, maxdrawdown_1y = drawdown
  421. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  422. UPDATE t
  423. SET stddev_2y = std_dev_a, downsidedev_2y = ds_dev_a, alpha_2y = alpha_a, winrate_2y = winrate, beta_2y = beta,
  424. skewness_2y = skewness, kurtosis_2y = kurtosis, worstmonth_2y = wrst_month, maxdrawdown_2y = drawdown
  425. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  426. UPDATE t
  427. SET stddev_3y = std_dev_a, downsidedev_3y = ds_dev_a, alpha_3y = alpha_a, winrate_3y = winrate, beta_3y = beta,
  428. skewness_3y = skewness, kurtosis_3y = kurtosis, worstmonth_3y = wrst_month, maxdrawdown_3y = drawdown
  429. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  430. UPDATE t
  431. SET stddev_4y = std_dev_a, downsidedev_4y = ds_dev_a, alpha_4y = alpha_a, winrate_4y = winrate, beta_4y = beta,
  432. skewness_4y = skewness, kurtosis_4y = kurtosis, worstmonth_4y = wrst_month, maxdrawdown_4y = drawdown
  433. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  434. UPDATE t
  435. SET stddev_5y = std_dev_a, downsidedev_5y = ds_dev_a, alpha_5y = alpha_a, winrate_5y = winrate, beta_5y = beta,
  436. skewness_5y = skewness, kurtosis_5y = kurtosis, worstmonth_5y = wrst_month, maxdrawdown_5y = drawdown
  437. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  438. UPDATE t
  439. SET stddev_10y = std_dev_a, downsidedev_10y = ds_dev_a, alpha_10y = alpha_a, winrate_10y = winrate, beta_10y = beta,
  440. skewness_10y = skewness, kurtosis_10y = kurtosis, worstmonth_10y = wrst_month, maxdrawdown_10y = drawdown
  441. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  442. UPDATE t
  443. SET stddev_ytd = std_dev_a, downsidedev_ytd = ds_dev_a, alpha_ytd = alpha_a, winrate_ytd = winrate, beta_ytd = beta,
  444. skewness_ytd = skewness, kurtosis_ytd = kurtosis, worstmonth_ytd = wrst_month, maxdrawdown_ytd = drawdown // mfdb中的真实字段名是 ytd_maxdrawdown
  445. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  446. UPDATE t
  447. SET stddev_incep = std_dev_a, downsidedev_incep = ds_dev_a, alpha_incep = alpha_a, winrate_incep = winrate, beta_incep = beta,
  448. skewness_incep = skewness, kurtosis_incep = kurtosis, worstmonth_incep = wrst_month, maxdrawdown_incep = drawdown
  449. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  450. INSERT INTO entity_risk_stats SELECT * FROM t;
  451. } else {
  452. }
  453. }
  454. /*
  455. * 按照 XXX_riskadjret_stats 表结构准备数据记录
  456. *
  457. *
  458. */
  459. def generate_entity_riskadjret_stats(entity_info, indicators, isToMySQL, mutable entity_riskadjret_stats) {
  460. t = null;
  461. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  462. if(isToMySQL) {
  463. t = SELECT entity_id, end_date,
  464. sharpe_a AS sharperatio_6m, sortino_a AS sortinoratio_6m, treynor AS treynorratio_6m, jensen_a AS jensen_6m,
  465. calmar AS calmarratio_6m, omega AS omegaratio_6m, kappa AS kapparatio_6m
  466. FROM indicators['PBI-6M'] AS ind
  467. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  468. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  469. UPDATE t
  470. SET sharperatio_1y = sharpe_a, sortinoratio_1y = sortino_a, treynorratio_1y = treynor, jensen_1y = jensen_a,
  471. calmarratio_1y = calmar, omegaratio_1y = omega, kapparatio_1y = kappa
  472. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  473. UPDATE t
  474. SET sharperatio_2y = sharpe_a, sortinoratio_2y = sortino_a, treynorratio_2y = treynor, jensen_2y = jensen_a,
  475. calmarratio_2y = calmar, omegaratio_2y = omega, kapparatio_2y = kappa
  476. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  477. UPDATE t
  478. SET sharperatio_3y = sharpe_a, sortinoratio_3y = sortino_a, treynorratio_3y = treynor, jensen_3y = jensen_a,
  479. calmarratio_3y = calmar, omegaratio_3y = omega, kapparatio_3y = kappa
  480. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  481. UPDATE t
  482. SET sharperatio_4y = sharpe_a, sortinoratio_4y = sortino_a, treynorratio_4y = treynor, jensen_4y = jensen_a,
  483. calmarratio_4y = calmar, omegaratio_4y = omega, kapparatio_4y = kappa
  484. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  485. UPDATE t
  486. SET sharperatio_5y = sharpe_a, sortinoratio_5y = sortino_a, treynorratio_5y = treynor, jensen_5y = jensen_a,
  487. calmarratio_5y = calmar, omegaratio_5y = omega, kapparatio_5y = kappa
  488. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  489. UPDATE t
  490. SET sharperatio_10y = sharpe_a, sortinoratio_10y = sortino_a, treynorratio_10y = treynor, jensen_10y = jensen_a,
  491. calmarratio_10y = calmar, omegaratio_10y = omega, kapparatio_10y = kappa
  492. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  493. UPDATE t
  494. SET sharperatio_ytd = sharpe_a, sortinoratio_ytd = sortino_a, treynorratio_ytd = treynor, jensen_ytd = jensen_a,
  495. calmarratio_ytd = calmar, omegaratio_ytd = omega, kapparatio_ytd = kappa
  496. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  497. UPDATE t
  498. SET sharperatio_incep = sharpe_a, sortinoratio_incep = sortino_a, treynorratio_incep = treynor, jensen_incep = jensen_a,
  499. calmarratio_incep = calmar, omegaratio_incep = omega, kapparatio_incep = kappa
  500. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  501. INSERT INTO entity_riskadjret_stats SELECT * FROM t;
  502. } else {
  503. }
  504. }
  505. /*
  506. * 按照 XXX_indicator 表结构准备数据记录
  507. *
  508. *
  509. */
  510. def generate_entity_indicator(entity_info, indicators, isToMySQL, mutable entity_indicator) {
  511. t = null;
  512. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  513. if(isToMySQL) {
  514. t = SELECT entity_id, end_date, info_a AS info_ratio_6m, m2_a AS m2_6m, track_error_a AS tracking_error_6m
  515. FROM indicators['PBI-6M'] AS ind
  516. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  517. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  518. UPDATE t
  519. SET info_ratio_1y = info_a, m2_1y = m2_a, tracking_error_1y = track_error_a
  520. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  521. UPDATE t
  522. SET info_ratio_2y = info_a, m2_2y = m2_a, tracking_error_2y = track_error_a, var_2y = var, cvar_2y = cvar
  523. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  524. UPDATE t
  525. SET info_ratio_3y = info_a, m2_3y = m2_a, tracking_error_3y = track_error_a, var_3y = var, cvar_3y = cvar
  526. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  527. UPDATE t
  528. SET info_ratio_4y = info_a, m2_4y = m2_a, tracking_error_4y = track_error_a, var_4y = var, cvar_4y = cvar
  529. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  530. UPDATE t
  531. SET info_ratio_5y = info_a, m2_5y = m2_a, tracking_error_5y = track_error_a, var_5y = var, cvar_5y = cvar
  532. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  533. UPDATE t
  534. SET info_ratio_10y = info_a, m2_10y = m2_a, tracking_error_10y = track_error_a, var_10y = var, cvar_10y = cvar
  535. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  536. UPDATE t
  537. SET info_ratio_ytd = info_a, m2_ytd = m2_a, tracking_error_ytd = track_error_a
  538. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  539. UPDATE t
  540. SET info_ratio_incep = info_a, m2_incep = m2_a, tracking_error_incep = track_error_a, var_incep = var, cvar_incep = cvar
  541. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  542. INSERT INTO entity_indicator SELECT * FROM t;
  543. } else {
  544. }
  545. }
  546. /*
  547. * 按照 XXX_style_stats 表结构准备数据记录
  548. *
  549. *
  550. */
  551. def generate_entity_style_stats(entity_info, indicators, isToMySQL, mutable entity_style_stats) {
  552. t = null;
  553. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  554. if(isToMySQL) {
  555. t = SELECT entity_id, end_date, upside_capture_ret AS upsidecapture_ret_6m, downside_capture_ret AS downsidecapture_ret_6m,
  556. upside_capture_ratio AS upsidecapture_ratio_6m, downside_capture_ratio AS downsidecapture_ratio_6m
  557. FROM indicators['PBI-6M'] AS ind
  558. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  559. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  560. UPDATE t
  561. SET upsidecapture_ret_1y = upside_capture_ret, downsidecapture_ret_1y = downside_capture_ret,
  562. upsidecapture_ratio_1y = upside_capture_ratio, downsidecapture_ratio_1y = downside_capture_ratio
  563. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  564. UPDATE t
  565. SET upsidecapture_ret_2y = upside_capture_ret, downsidecapture_ret_2y = downside_capture_ret,
  566. upsidecapture_ratio_2y = upside_capture_ratio, downsidecapture_ratio_2y = downside_capture_ratio
  567. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  568. UPDATE t
  569. SET upsidecapture_ret_3y = upside_capture_ret, downsidecapture_ret_3y = downside_capture_ret,
  570. upsidecapture_ratio_3y = upside_capture_ratio, downsidecapture_ratio_3y = downside_capture_ratio
  571. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  572. UPDATE t
  573. SET upsidecapture_ret_4y = upside_capture_ret, downsidecapture_ret_4y = downside_capture_ret,
  574. upsidecapture_ratio_4y = upside_capture_ratio, downsidecapture_ratio_4y = downside_capture_ratio
  575. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  576. UPDATE t
  577. SET upsidecapture_ret_5y = upside_capture_ret, downsidecapture_ret_5y = downside_capture_ret,
  578. upsidecapture_ratio_5y = upside_capture_ratio, downsidecapture_ratio_5y = downside_capture_ratio
  579. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  580. UPDATE t
  581. SET upsidecapture_ret_10y = upside_capture_ret, downsidecapture_ret_10y = downside_capture_ret,
  582. upsidecapture_ratio_10y = upside_capture_ratio, downsidecapture_ratio_10y = downside_capture_ratio
  583. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  584. UPDATE t
  585. SET upsidecapture_ret_ytd = upside_capture_ret, downsidecapture_ret_ytd = downside_capture_ret,
  586. upsidecapture_ratio_ytd = upside_capture_ratio, downsidecapture_ratio_ytd = downside_capture_ratio
  587. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  588. UPDATE t
  589. SET upsidecapture_ret_incep = upside_capture_ret, downsidecapture_ret_incep = downside_capture_ret,
  590. upsidecapture_ratio_incep = upside_capture_ratio, downsidecapture_ratio_incep = downside_capture_ratio
  591. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  592. INSERT INTO entity_style_stats SELECT * FROM t;
  593. } else {
  594. }
  595. }
  596. /*
  597. * 按照 XXX_bfi_bm_indicator 表结构准备数据记录
  598. *
  599. * TODO: why we need isToMySQL here?
  600. * 其它的指标恐怕也要按这个改,因为私募可能会有近6月没有数据但近2年之类的周期有数据的情况!
  601. */
  602. def generate_entity_bfi_indicator(entity_info, indicators, isToMySQL, mutable entity_bfi_indicator) {
  603. t = null;
  604. v_cols_from = ['upside_capture_ret', 'downside_capture_ret', 'upside_capture_ratio', 'downside_capture_ratio', 'alpha_a', 'winrate', 'beta', 'info_a', 'track_error_a', 'jensen_a'];
  605. v_cols_to = ['upsidecapture_ret', 'downsidecapture_ret', 'upsidecapture_ratio', 'downsidecapture_ratio', 'alpha', 'winrate', 'beta', 'info_ratio', 'tracking_error', 'jensen'];
  606. v_cols_useless = ['track_error', 'info', 'alpha', 'treynor', 'jensen', 'm2', 'm2_a']; // 标准指标中不被当前表覆盖的数据点
  607. if(isToMySQL) {
  608. t = lj(
  609. lj(
  610. lj(
  611. lj(
  612. lj(
  613. lj(
  614. lj(
  615. lj(
  616. lj(entity_info,
  617. indicators['BFI-6M'] AS t_6m, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  618. indicators['BFI-1Y'] AS t_1y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  619. indicators['BFI-2Y'] AS t_2y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  620. indicators['BFI-3Y'] AS t_3y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  621. indicators['BFI-4Y'] AS t_4y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  622. indicators['BFI-5Y'] AS t_5y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  623. indicators['BFI-10Y'] AS t_10y, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  624. indicators['BFI-YTD'] AS t_ytd, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless),
  625. indicators['BFI-INCEP'] AS t_incep, ['entity_id', 'benchmark_id', 'end_date']).dropColumns!(v_cols_useless);
  626. t.rename!(v_cols_from, v_cols_to + '_6m');
  627. t.rename!('t_1y_' + v_cols_from, v_cols_to + '_1y');
  628. t.rename!('t_2y_' + v_cols_from, v_cols_to + '_2y');
  629. t.rename!('t_3y_' + v_cols_from, v_cols_to + '_3y');
  630. t.rename!('t_4y_' + v_cols_from, v_cols_to + '_4y');
  631. t.rename!('t_5y_' + v_cols_from, v_cols_to + '_5y');
  632. t.rename!('t_10y_' + v_cols_from, v_cols_to + '_10y');
  633. t.rename!('t_ytd_' + v_cols_from, v_cols_to + '_ytd');
  634. t.rename!('t_incep_' + v_cols_from, v_cols_to + '_incep');
  635. t.dropColumns!(['inception_date', 'ini_value']).rename!('benchmark_id', 'factor_id');
  636. entity_bfi_indicator.tableInsert(t.reorderColumns!(entity_bfi_indicator.colNames()));
  637. } else {
  638. }
  639. }
  640. /*
  641. * 按照 XXX_performance_weekly 表结构准备数据记录
  642. *
  643. *
  644. */
  645. def generate_entity_performance_weekly(entity_info, ret_w, isToMySQL, mutable entity_performance_weekly) {
  646. t = null;
  647. if(ret_w.isVoid() || ret_w.size() == 0) return;
  648. if(isToMySQL) {
  649. 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,
  650. cumulative_nav, ret_1w
  651. FROM ret_w r
  652. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  653. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  654. INSERT INTO entity_performance_weekly SELECT * FROM t;
  655. } else {
  656. }
  657. }
  658. /*
  659. * 按照 XXX_latest_performance 表结构准备数据记录
  660. *
  661. *
  662. */
  663. def generate_entity_latest_performance(entity_info, perf_latest, isToMySQL, mutable entity_latest_performance) {
  664. t = null;
  665. if(perf_latest.isVoid() || perf_latest.size() == 0) return;
  666. if(isToMySQL) {
  667. t = SELECT r.*
  668. FROM perf_latest r
  669. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  670. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  671. INSERT INTO entity_latest_performance SELECT * FROM t;
  672. } else {
  673. }
  674. }