dataSaver.dos 37 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. s_query = "CALL raw_db.sp_sync_table_from_dolphin('" + source_table_name + "_dolphin', '" + target_table_name + "');"
  46. conn = connect_mysql('raw_db');
  47. odbc::execute(conn, s_query);
  48. conn.close();
  49. }
  50. /*
  51. * 建表 XXXX_nav
  52. */
  53. def create_entity_nav(is_id_integer=false) {
  54. return table(1000:0,
  55. ['entity_id', 'price_date', 'cumulative_nav'],
  56. [iif(is_id_integer, INT, SYMBOL), DATE, DOUBLE]);
  57. }
  58. /*
  59. * 建表 XXXX_performance
  60. */
  61. def create_entity_performance(is_id_integer=false) {
  62. return table(1000:0,
  63. ['entity_id', 'end_date', 'price_date', 'cumulative_nav',
  64. 'ret_1m', 'ret_1m_a', 'ret_3m', 'ret_3m_a', 'ret_6m', 'ret_6m_a',
  65. 'ret_1y', 'ret_1y_a', 'ret_2y', 'ret_2y_a', 'ret_3y', 'ret_3y_a', 'ret_4y', 'ret_4y_a',
  66. 'ret_5y', 'ret_5y_a', 'ret_10y', 'ret_10y_a', 'ret_ytd', 'ret_ytd_a', 'ret_incep', 'ret_incep_a'],
  67. [iif(is_id_integer, INT, SYMBOL), MONTH, DATE, DOUBLE,
  68. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  69. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  70. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  71. }
  72. /*
  73. * 建表 XXX_indicator
  74. */
  75. def create_entity_indicator(is_id_integer=false) {
  76. return table(1000:0,
  77. ['entity_id', 'end_date',
  78. 'info_ratio_6m', 'm2_6m', 'tracking_error_6m',
  79. 'info_ratio_1y', 'm2_1y', 'tracking_error_1y',
  80. 'info_ratio_2y', 'm2_2y', 'tracking_error_2y', 'var_2y', 'cvar_2y',
  81. 'info_ratio_3y', 'm2_3y', 'tracking_error_3y', 'var_3y', 'cvar_3y',
  82. 'info_ratio_4y', 'm2_4y', 'tracking_error_4y', 'var_4y', 'cvar_4y',
  83. 'info_ratio_5y', 'm2_5y', 'tracking_error_5y', 'var_5y', 'cvar_5y',
  84. 'info_ratio_10y', 'm2_10y', 'tracking_error_10y', 'var_10y', 'cvar_10y',
  85. 'info_ratio_ytd', 'm2_ytd', 'tracking_error_ytd',
  86. 'info_ratio_incep', 'm2_incep','tracking_error_incep', 'var_incep', 'cvar_incep'],
  87. [iif(is_id_integer, INT, SYMBOL), MONTH,
  88. DOUBLE, DOUBLE, DOUBLE,
  89. DOUBLE, DOUBLE, DOUBLE,
  90. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  91. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  92. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  93. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  94. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  95. DOUBLE, DOUBLE, DOUBLE,
  96. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  97. }
  98. /*
  99. * 建表 XXX_risk_stats
  100. *
  101. * 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!
  102. */
  103. def create_entity_risk_stats(is_id_integer=false) {
  104. return table(1000:0,
  105. ['entity_id', 'end_date',
  106. 'stddev_6m', 'downsidedev_6m', 'alpha_6m', 'winrate_6m', 'beta_6m', 'skewness_6m', 'kurtosis_6m', 'worstmonth_6m', 'maxdrawdown_6m',
  107. 'stddev_1y', 'downsidedev_1y', 'alpha_1y', 'winrate_1y', 'beta_1y', 'skewness_1y', 'kurtosis_1y', 'worstmonth_1y', 'maxdrawdown_1y',
  108. 'stddev_2y', 'downsidedev_2y', 'alpha_2y', 'winrate_2y', 'beta_2y', 'skewness_2y', 'kurtosis_2y', 'worstmonth_2y', 'maxdrawdown_2y',
  109. 'stddev_3y', 'downsidedev_3y', 'alpha_3y', 'winrate_3y', 'beta_3y', 'skewness_3y', 'kurtosis_3y', 'worstmonth_3y', 'maxdrawdown_3y',
  110. 'stddev_4y', 'downsidedev_4y', 'alpha_4y', 'winrate_4y', 'beta_4y', 'skewness_4y', 'kurtosis_4y', 'worstmonth_4y', 'maxdrawdown_4y',
  111. 'stddev_5y', 'downsidedev_5y', 'alpha_5y', 'winrate_5y', 'beta_5y', 'skewness_5y', 'kurtosis_5y', 'worstmonth_5y', 'maxdrawdown_5y',
  112. 'stddev_10y', 'downsidedev_10y','alpha_10y', 'winrate_10y', 'beta_10y', 'skewness_10y', 'kurtosis_10y', 'worstmonth_10y', 'maxdrawdown_10y',
  113. 'stddev_ytd', 'downsidedev_ytd', 'alpha_ytd', 'winrate_ytd', 'beta_ytd', 'skewness_ytd', 'kurtosis_ytd', 'worstmonth_ytd', 'maxdrawdown_ytd',
  114. 'stddev_incep', 'downsidedev_incep', 'alpha_incep', 'winrate_incep', 'beta_incep', 'skewness_incep', 'kurtosis_incep', 'worstmonth_incep', 'maxdrawdown_incep'],
  115. [iif(is_id_integer, INT, SYMBOL), MONTH,
  116. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  117. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  118. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  119. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  120. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  121. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  122. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  123. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  124. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  125. }
  126. /*
  127. * 建表 XXX_riskadjret_stats
  128. */
  129. def create_entity_riskadjret_stats(is_id_integer=false) {
  130. return table(1000:0,
  131. ['entity_id', 'end_date',
  132. 'sharperatio_6m', 'sortinoratio_6m', 'treynorratio_6m', 'jensen_6m', 'calmarratio_6m', 'omegaratio_6m', 'kapparatio_6m',
  133. 'sharperatio_1y', 'sortinoratio_1y', 'treynorratio_1y', 'jensen_1y', 'calmarratio_1y', 'omegaratio_1y', 'kapparatio_1y',
  134. 'sharperatio_2y', 'sortinoratio_2y', 'treynorratio_2y', 'jensen_2y', 'calmarratio_2y', 'omegaratio_2y', 'kapparatio_2y',
  135. 'sharperatio_3y', 'sortinoratio_3y', 'treynorratio_3y', 'jensen_3y', 'calmarratio_3y', 'omegaratio_3y', 'kapparatio_3y',
  136. 'sharperatio_4y', 'sortinoratio_4y', 'treynorratio_4y', 'jensen_4y', 'calmarratio_4y', 'omegaratio_4y', 'kapparatio_4y',
  137. 'sharperatio_5y', 'sortinoratio_5y', 'treynorratio_5y', 'jensen_5y', 'calmarratio_5y', 'omegaratio_5y', 'kapparatio_5y',
  138. 'sharperatio_10y', 'sortinoratio_10y', 'treynorratio_10y', 'jensen_10y', 'calmarratio_10y', 'omegaratio_10y', 'kapparatio_10y',
  139. 'sharperatio_ytd', 'sortinoratio_ytd', 'treynorratio_ytd', 'jensen_ytd', 'calmarratio_ytd', 'omegaratio_ytd', 'kapparatio_ytd',
  140. 'sharperatio_incep', 'sortinoratio_incep', 'treynorratio_incep', 'jensen_incep', 'calmarratio_incep', 'omegaratio_incep', 'kapparatio_incep'],
  141. [iif(is_id_integer, INT, SYMBOL), MONTH,
  142. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  143. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  144. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  145. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  146. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  147. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  148. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  149. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  150. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  151. }
  152. /*
  153. * 建表 XXX_style_stats
  154. */
  155. def create_entity_style_stats(is_id_integer=false) {
  156. return table(1000:0,
  157. ['entity_id', 'end_date',
  158. 'upsidecapture_ret_6m', 'downsidecapture_ret_6m', 'upsidecapture_ratio_6m', 'downsidecapture_ratio_6m',
  159. 'upsidecapture_ret_1y', 'downsidecapture_ret_1y', 'upsidecapture_ratio_1y', 'downsidecapture_ratio_1y',
  160. 'upsidecapture_ret_2y', 'downsidecapture_ret_2y', 'upsidecapture_ratio_2y', 'downsidecapture_ratio_2y',
  161. 'upsidecapture_ret_3y', 'downsidecapture_ret_3y', 'upsidecapture_ratio_3y', 'downsidecapture_ratio_3y',
  162. 'upsidecapture_ret_4y', 'downsidecapture_ret_4y', 'upsidecapture_ratio_4y', 'downsidecapture_ratio_4y',
  163. 'upsidecapture_ret_5y', 'downsidecapture_ret_5y', 'upsidecapture_ratio_5y', 'downsidecapture_ratio_5y',
  164. 'upsidecapture_ret_10y', 'downsidecapture_ret_10y', 'upsidecapture_ratio_10y', 'downsidecapture_ratio_10y',
  165. 'upsidecapture_ret_ytd', 'downsidecapture_ret_ytd', 'upsidecapture_ratio_ytd', 'downsidecapture_ratio_ytd',
  166. 'upsidecapture_ret_incep', 'downsidecapture_ret_incep', 'upsidecapture_ratio_incep', 'downsidecapture_ratio_incep'],
  167. [iif(is_id_integer, INT, SYMBOL), MONTH,
  168. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  169. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  170. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  171. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  172. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  173. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  174. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  175. DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  176. DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  177. }
  178. /*
  179. * 建表 xxx_performance_weekly
  180. */
  181. def create_entity_performance_weekly(is_id_integer=false) {
  182. return table(1000:0,
  183. ['entity_id', 'year_week', 'end_year', 'week_of_year', 'price_date', 'cumulative_nav', 'ret_1w'],
  184. [iif(is_id_integer, INT, SYMBOL), STRING, STRING, SHORT, DATE, DOUBLE, DOUBLE]);
  185. }
  186. /*
  187. * 建表 xxx_latest_performance
  188. */
  189. def create_entity_latest_performance(is_id_integer=false) {
  190. return table(1000:0,
  191. ['entity_id', 'end_date', 'price_date', 'pre_price_date', 'nav', 'cumulative_nav',
  192. 'net_value_change', 'ret_1d', 'ret_1w', 'ret_1m', 'ret_3m', 'ret_6m',
  193. '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',
  194. 'maxdrawdown_1m', 'maxdrawdown_3m', 'maxdrawdown_1y', 'maxdrawdown_incep', 'calmarratio_incep',
  195. 'ret_1y_a', 'ret_2y_a', 'ret_3y_a', 'ret_4y_a', 'ret_5y_a', 'ret_10y_a'],
  196. [iif(is_id_integer, INT, SYMBOL), STRING, DATE, DATE, DOUBLE, DOUBLE,
  197. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  198. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  199. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  200. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  201. }
  202. /*
  203. * 建表 xxx_index_coe
  204. *
  205. */
  206. def create_entity_index_coe(is_id_integer=false) {
  207. return table(1000:0,
  208. ['entity_id', 'end_date',
  209. 'coe_1y', 'coe_3y', 'coe_5y', 'info_ratio_1y', 'info_ratio_3y', 'info_ratio_5y',
  210. 't_value_1y', 't_value_3y', 't_value_5y', 'beta_1y', 'beta_3y', 'beta_5y'],
  211. [iif(is_id_integer, INT, SYMBOL), STRING,
  212. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  213. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE]);
  214. }
  215. /*
  216. * 建表 XXXX_indicator_ranking
  217. */
  218. def create_entity_indicator_ranking(is_id_integer=false) {
  219. return table(1000:0,
  220. ['entity_id', 'end_date', 'strategy', 'indicator_id',
  221. 'indicator_1m', 'absrank_1m', 'perrank_1m', 'indicator_3m', 'absrank_3m', 'perrank_3m',
  222. 'indicator_6m', 'absrank_6m', 'perrank_6m', 'indicator_1y', 'absrank_1y', 'perrank_1y',
  223. 'indicator_2y', 'absrank_2y', 'perrank_2y', 'indicator_3y', 'absrank_3y', 'perrank_3y',
  224. 'indicator_5y', 'absrank_5y', 'perrank_5y',
  225. 'indicator_10y', 'absrank_10y', 'perrank_10y', 'indicator_ytd', 'absrank_ytd', 'perrank_ytd'],
  226. [iif(is_id_integer, INT, SYMBOL), STRING, INT, INT,
  227. DOUBLE, INT, INT, DOUBLE, INT, INT,
  228. DOUBLE, INT, INT, DOUBLE, INT, INT,
  229. DOUBLE, INT, INT, DOUBLE, INT, INT,
  230. DOUBLE, INT, INT,
  231. DOUBLE, INT, INT, DOUBLE, INT, INT]);
  232. }
  233. /*
  234. * 建表 XXXX_indicator_ranking_num
  235. */
  236. def create_entity_indicator_ranking_num(is_id_integer=false) {
  237. return table(1000:0,
  238. ['end_date', 'strategy', 'raise_type', 'indicator_id',
  239. 'avg_1m', 'avg_1m_cnt', 'perrank_percent_5_1m', 'perrank_percent_10_1m', 'perrank_percent_25_1m', 'perrank_percent_50_1m',
  240. 'perrank_percent_75_1m', 'perrank_percent_90_1m', 'perrank_percent_95_1m', 'best_1m', 'worst_1m',
  241. 'avg_3m', 'avg_3m_cnt', 'perrank_percent_5_3m', 'perrank_percent_10_3m', 'perrank_percent_25_3m', 'perrank_percent_50_3m',
  242. 'perrank_percent_75_3m', 'perrank_percent_90_3m', 'perrank_percent_95_3m', 'best_3m', 'worst_3m',
  243. 'avg_6m', 'avg_6m_cnt', 'perrank_percent_5_6m', 'perrank_percent_10_6m', 'perrank_percent_25_6m', 'perrank_percent_50_6m',
  244. 'perrank_percent_75_6m', 'perrank_percent_90_6m', 'perrank_percent_95_6m', 'best_6m', 'worst_6m',
  245. 'avg_1y', 'avg_1y_cnt', 'perrank_percent_5_1y', 'perrank_percent_10_1y', 'perrank_percent_25_1y', 'perrank_percent_50_1y',
  246. 'perrank_percent_75_1y', 'perrank_percent_90_1y', 'perrank_percent_95_1y', 'best_1y', 'worst_1y',
  247. 'avg_2y', 'avg_2y_cnt', 'perrank_percent_5_2y', 'perrank_percent_10_2y', 'perrank_percent_25_2y', 'perrank_percent_50_2y',
  248. 'perrank_percent_75_2y', 'perrank_percent_90_2y', 'perrank_percent_95_2y', 'best_2y', 'worst_2y',
  249. 'avg_3y', 'avg_3y_cnt', 'perrank_percent_5_3y', 'perrank_percent_10_3y', 'perrank_percent_25_3y', 'perrank_percent_50_3y',
  250. 'perrank_percent_75_3y', 'perrank_percent_90_3y', 'perrank_percent_95_3y', 'best_3y', 'worst_3y',
  251. 'avg_5y', 'avg_5y_cnt', 'perrank_percent_5_5y', 'perrank_percent_10_5y', 'perrank_percent_25_5y', 'perrank_percent_50_5y',
  252. 'perrank_percent_75_5y', 'perrank_percent_90_5y', 'perrank_percent_95_5y', 'best_5y', 'worst_5y',
  253. 'avg_10y', 'avg_10y_cnt', 'perrank_percent_5_10y', 'perrank_percent_10_10y', 'perrank_percent_25_10y', 'perrank_percent_50_10y',
  254. 'perrank_percent_75_10y', 'perrank_percent_90_10y', 'perrank_percent_95_10y', 'best_10y', 'worst_10y',
  255. 'avg_ytd', 'avg_ytd_cnt', 'perrank_percent_5_ytd', 'perrank_percent_10_ytd', 'perrank_percent_25_ytd', 'perrank_percent_50_ytd',
  256. 'perrank_percent_75_ytd', 'perrank_percent_90_ytd', 'perrank_percent_95_ytd', 'best_ytd', 'worst_ytd'],
  257. [STRING, INT, INT, INT,
  258. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  259. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  260. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  261. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  262. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  263. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  264. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  265. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  266. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  267. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  268. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  269. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  270. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  271. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  272. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  273. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  274. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  275. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE ]);
  276. }
  277. /*
  278. * 建表 XXXX_indicator_substrategy_ranking
  279. */
  280. def create_entity_indicator_substrategy_ranking(is_id_integer=false) {
  281. return table(1000:0,
  282. ['entity_id', 'end_date', 'substrategy', 'indicator_id',
  283. 'indicator_1m', 'absrank_1m', 'perrank_1m', 'indicator_3m', 'absrank_3m', 'perrank_3m',
  284. 'indicator_6m', 'absrank_6m', 'perrank_6m', 'indicator_1y', 'absrank_1y', 'perrank_1y',
  285. 'indicator_2y', 'absrank_2y', 'perrank_2y', 'indicator_3y', 'absrank_3y', 'perrank_3y',
  286. 'indicator_5y', 'absrank_5y', 'perrank_5y',
  287. 'indicator_10y', 'absrank_10y', 'perrank_10y', 'indicator_ytd', 'absrank_ytd', 'perrank_ytd'],
  288. [iif(is_id_integer, INT, SYMBOL), STRING, INT, INT,
  289. DOUBLE, INT, INT, DOUBLE, INT, INT,
  290. DOUBLE, INT, INT, DOUBLE, INT, INT,
  291. DOUBLE, INT, INT, DOUBLE, INT, INT,
  292. DOUBLE, INT, INT,
  293. DOUBLE, INT, INT, DOUBLE, INT, INT]);
  294. }
  295. /*
  296. * 建表 XXXX_indicator_ranking_num
  297. */
  298. def create_entity_indicator_substrategy_ranking_num(is_id_integer=false) {
  299. return table(1000:0,
  300. ['end_date', 'substrategy', 'raise_type', 'indicator_id',
  301. 'avg_1m', 'avg_1m_cnt', 'perrank_percent_5_1m', 'perrank_percent_10_1m', 'perrank_percent_25_1m', 'perrank_percent_50_1m',
  302. 'perrank_percent_75_1m', 'perrank_percent_90_1m', 'perrank_percent_95_1m', 'best_1m', 'worst_1m',
  303. 'avg_3m', 'avg_3m_cnt', 'perrank_percent_5_3m', 'perrank_percent_10_3m', 'perrank_percent_25_3m', 'perrank_percent_50_3m',
  304. 'perrank_percent_75_3m', 'perrank_percent_90_3m', 'perrank_percent_95_3m', 'best_3m', 'worst_3m',
  305. 'avg_6m', 'avg_6m_cnt', 'perrank_percent_5_6m', 'perrank_percent_10_6m', 'perrank_percent_25_6m', 'perrank_percent_50_6m',
  306. 'perrank_percent_75_6m', 'perrank_percent_90_6m', 'perrank_percent_95_6m', 'best_6m', 'worst_6m',
  307. 'avg_1y', 'avg_1y_cnt', 'perrank_percent_5_1y', 'perrank_percent_10_1y', 'perrank_percent_25_1y', 'perrank_percent_50_1y',
  308. 'perrank_percent_75_1y', 'perrank_percent_90_1y', 'perrank_percent_95_1y', 'best_1y', 'worst_1y',
  309. 'avg_2y', 'avg_2y_cnt', 'perrank_percent_5_2y', 'perrank_percent_10_2y', 'perrank_percent_25_2y', 'perrank_percent_50_2y',
  310. 'perrank_percent_75_2y', 'perrank_percent_90_2y', 'perrank_percent_95_2y', 'best_2y', 'worst_2y',
  311. 'avg_3y', 'avg_3y_cnt', 'perrank_percent_5_3y', 'perrank_percent_10_3y', 'perrank_percent_25_3y', 'perrank_percent_50_3y',
  312. 'perrank_percent_75_3y', 'perrank_percent_90_3y', 'perrank_percent_95_3y', 'best_3y', 'worst_3y',
  313. 'avg_5y', 'avg_5y_cnt', 'perrank_percent_5_5y', 'perrank_percent_10_5y', 'perrank_percent_25_5y', 'perrank_percent_50_5y',
  314. 'perrank_percent_75_5y', 'perrank_percent_90_5y', 'perrank_percent_95_5y', 'best_5y', 'worst_5y',
  315. 'avg_10y', 'avg_10y_cnt', 'perrank_percent_5_10y', 'perrank_percent_10_10y', 'perrank_percent_25_10y', 'perrank_percent_50_10y',
  316. 'perrank_percent_75_10y', 'perrank_percent_90_10y', 'perrank_percent_95_10y', 'best_10y', 'worst_10y',
  317. 'avg_ytd', 'avg_ytd_cnt', 'perrank_percent_5_ytd', 'perrank_percent_10_ytd', 'perrank_percent_25_ytd', 'perrank_percent_50_ytd',
  318. 'perrank_percent_75_ytd', 'perrank_percent_90_ytd', 'perrank_percent_95_ytd', 'best_ytd', 'worst_ytd'],
  319. [STRING, INT, INT, INT,
  320. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  321. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  322. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  323. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  324. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  325. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  326. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  327. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  328. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  329. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  330. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  331. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  332. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  333. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  334. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  335. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  336. DOUBLE, INT, DOUBLE, DOUBLE, DOUBLE, DOUBLE,
  337. DOUBLE, DOUBLE, DOUBLE, DOUBLE, DOUBLE ]);
  338. }
  339. /*
  340. * 根据 mysql 表改动某些字段
  341. */
  342. def chg_columns_for_mysql(mutable tb_mysql, id_col_name) {
  343. tb_mysql.rename!('entity_id', id_col_name);
  344. // 将 dolphinDB 的 MONTH 换成 MySQL 的 YYYY-MM 格式
  345. v_end_date = EXEC end_date.temporalFormat('yyyy-MM') FROM tb_mysql;
  346. tb_mysql.replaceColumn!('end_date', v_end_date);
  347. }
  348. /*
  349. * 按照 XXX_performance 表结构准备数据记录
  350. *
  351. *
  352. */
  353. def generate_entity_performance(entity_info, indicators, isToMySQL, mutable entity_performance) {
  354. t = null;
  355. if(isToMySQL) {
  356. if(indicators['PBI-3M'].isVoid() || indicators['PBI-3M'].size() == 0) return;
  357. 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
  358. FROM indicators['PBI-3M'] AS ind
  359. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  360. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  361. UPDATE t
  362. SET ret_6m = trailing_ret, ret_6m_a = trailing_ret_a
  363. FROM ej(t, indicators['PBI-6M'], ['entity_id', 'end_date']);
  364. UPDATE t
  365. SET ret_1y = trailing_ret, ret_1y_a = trailing_ret_a
  366. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  367. UPDATE t
  368. SET ret_2y = trailing_ret, ret_2y_a = trailing_ret_a
  369. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  370. UPDATE t
  371. SET ret_3y = trailing_ret, ret_3y_a = trailing_ret_a
  372. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  373. UPDATE t
  374. SET ret_4y = trailing_ret, ret_4y_a = trailing_ret_a
  375. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  376. UPDATE t
  377. SET ret_5y = trailing_ret, ret_5y_a = trailing_ret_a
  378. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  379. UPDATE t
  380. SET ret_10y = trailing_ret, ret_10y_a = trailing_ret_a
  381. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  382. UPDATE t
  383. SET ret_ytd = trailing_ret, ret_ytd_a = trailing_ret_a
  384. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  385. // 取消了 ret_incep_a_all (没意义) 和 ret_incep_a_gips (ret_incep_a 与之相等)
  386. UPDATE t
  387. SET ret_incep = trailing_ret, ret_incep_a = trailing_ret_a
  388. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  389. INSERT INTO entity_performance SELECT * FROM t;
  390. } else {
  391. }
  392. }
  393. /*
  394. * 按照 XXX_risk_stats 表结构准备数据记录
  395. *
  396. *
  397. */
  398. def generate_entity_risk_stats(entity_info, indicators, isToMySQL, mutable entity_risk_stats) {
  399. t = null;
  400. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  401. if(isToMySQL) {
  402. 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,
  403. 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
  404. FROM indicators['PBI-6M'] AS ind
  405. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  406. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  407. UPDATE t
  408. SET stddev_1y = std_dev_a, downsidedev_1y = ds_dev_a, alpha_1y = alpha_a, winrate_1y = winrate, beta_1y = beta,
  409. skewness_1y = skewness, kurtosis_1y = kurtosis, worstmonth_1y = wrst_month, maxdrawdown_1y = drawdown
  410. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  411. UPDATE t
  412. SET stddev_2y = std_dev_a, downsidedev_2y = ds_dev_a, alpha_2y = alpha_a, winrate_2y = winrate, beta_2y = beta,
  413. skewness_2y = skewness, kurtosis_2y = kurtosis, worstmonth_2y = wrst_month, maxdrawdown_2y = drawdown
  414. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  415. UPDATE t
  416. SET stddev_3y = std_dev_a, downsidedev_3y = ds_dev_a, alpha_3y = alpha_a, winrate_3y = winrate, beta_3y = beta,
  417. skewness_3y = skewness, kurtosis_3y = kurtosis, worstmonth_3y = wrst_month, maxdrawdown_3y = drawdown
  418. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  419. UPDATE t
  420. SET stddev_4y = std_dev_a, downsidedev_4y = ds_dev_a, alpha_4y = alpha_a, winrate_4y = winrate, beta_4y = beta,
  421. skewness_4y = skewness, kurtosis_4y = kurtosis, worstmonth_4y = wrst_month, maxdrawdown_4y = drawdown
  422. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  423. UPDATE t
  424. SET stddev_5y = std_dev_a, downsidedev_5y = ds_dev_a, alpha_5y = alpha_a, winrate_5y = winrate, beta_5y = beta,
  425. skewness_5y = skewness, kurtosis_5y = kurtosis, worstmonth_5y = wrst_month, maxdrawdown_5y = drawdown
  426. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  427. UPDATE t
  428. SET stddev_10y = std_dev_a, downsidedev_10y = ds_dev_a, alpha_10y = alpha_a, winrate_10y = winrate, beta_10y = beta,
  429. skewness_10y = skewness, kurtosis_10y = kurtosis, worstmonth_10y = wrst_month, maxdrawdown_10y = drawdown
  430. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  431. UPDATE t
  432. SET stddev_ytd = std_dev_a, downsidedev_ytd = ds_dev_a, alpha_ytd = alpha_a, winrate_ytd = winrate, beta_ytd = beta,
  433. skewness_ytd = skewness, kurtosis_ytd = kurtosis, worstmonth_ytd = wrst_month, maxdrawdown_ytd = drawdown // mfdb中的真实字段名是 ytd_maxdrawdown
  434. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  435. UPDATE t
  436. SET stddev_incep = std_dev_a, downsidedev_incep = ds_dev_a, alpha_incep = alpha_a, winrate_incep = winrate, beta_incep = beta,
  437. skewness_incep = skewness, kurtosis_incep = kurtosis, worstmonth_incep = wrst_month, maxdrawdown_incep = drawdown
  438. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  439. INSERT INTO entity_risk_stats SELECT * FROM t;
  440. } else {
  441. }
  442. }
  443. /*
  444. * 按照 XXX_riskadjret_stats 表结构准备数据记录
  445. *
  446. *
  447. */
  448. def generate_entity_riskadjret_stats(entity_info, indicators, isToMySQL, mutable entity_riskadjret_stats) {
  449. t = null;
  450. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  451. if(isToMySQL) {
  452. t = SELECT entity_id, end_date,
  453. sharpe_a AS sharperatio_6m, sortino_a AS sortinoratio_6m, treynor AS treynorratio_6m, jensen_a AS jensen_6m,
  454. calmar AS calmarratio_6m, omega AS omegaratio_6m, kappa AS kapparatio_6m
  455. FROM indicators['PBI-6M'] AS ind
  456. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  457. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  458. UPDATE t
  459. SET sharperatio_1y = sharpe_a, sortinoratio_1y = sortino_a, treynorratio_1y = treynor, jensen_1y = jensen_a,
  460. calmarratio_1y = calmar, omegaratio_1y = omega, kapparatio_1y = kappa
  461. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  462. UPDATE t
  463. SET sharperatio_2y = sharpe_a, sortinoratio_2y = sortino_a, treynorratio_2y = treynor, jensen_2y = jensen_a,
  464. calmarratio_2y = calmar, omegaratio_2y = omega, kapparatio_2y = kappa
  465. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  466. UPDATE t
  467. SET sharperatio_3y = sharpe_a, sortinoratio_3y = sortino_a, treynorratio_3y = treynor, jensen_3y = jensen_a,
  468. calmarratio_3y = calmar, omegaratio_3y = omega, kapparatio_3y = kappa
  469. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  470. UPDATE t
  471. SET sharperatio_4y = sharpe_a, sortinoratio_4y = sortino_a, treynorratio_4y = treynor, jensen_4y = jensen_a,
  472. calmarratio_4y = calmar, omegaratio_4y = omega, kapparatio_4y = kappa
  473. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  474. UPDATE t
  475. SET sharperatio_5y = sharpe_a, sortinoratio_5y = sortino_a, treynorratio_5y = treynor, jensen_5y = jensen_a,
  476. calmarratio_5y = calmar, omegaratio_5y = omega, kapparatio_5y = kappa
  477. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  478. UPDATE t
  479. SET sharperatio_10y = sharpe_a, sortinoratio_10y = sortino_a, treynorratio_10y = treynor, jensen_10y = jensen_a,
  480. calmarratio_10y = calmar, omegaratio_10y = omega, kapparatio_10y = kappa
  481. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  482. UPDATE t
  483. SET sharperatio_ytd = sharpe_a, sortinoratio_ytd = sortino_a, treynorratio_ytd = treynor, jensen_ytd = jensen_a,
  484. calmarratio_ytd = calmar, omegaratio_ytd = omega, kapparatio_ytd = kappa
  485. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  486. UPDATE t
  487. SET sharperatio_incep = sharpe_a, sortinoratio_incep = sortino_a, treynorratio_incep = treynor, jensen_incep = jensen_a,
  488. calmarratio_incep = calmar, omegaratio_incep = omega, kapparatio_incep = kappa
  489. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  490. INSERT INTO entity_riskadjret_stats SELECT * FROM t;
  491. } else {
  492. }
  493. }
  494. /*
  495. * 按照 XXX_indicator 表结构准备数据记录
  496. *
  497. *
  498. */
  499. def generate_entity_indicator(entity_info, indicators, isToMySQL, mutable entity_indicator) {
  500. t = null;
  501. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  502. if(isToMySQL) {
  503. t = SELECT entity_id, end_date, info_a AS info_ratio_6m, m2_a AS m2_6m, track_error_a AS tracking_error_6m
  504. FROM indicators['PBI-6M'] AS ind
  505. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  506. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  507. UPDATE t
  508. SET info_ratio_1y = info_a, m2_1y = m2_a, tracking_error_1y = track_error_a
  509. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  510. UPDATE t
  511. SET info_ratio_2y = info_a, m2_2y = m2_a, tracking_error_2y = track_error_a, var_2y = var, cvar_2y = cvar
  512. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  513. UPDATE t
  514. SET info_ratio_3y = info_a, m2_3y = m2_a, tracking_error_3y = track_error_a, var_3y = var, cvar_3y = cvar
  515. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  516. UPDATE t
  517. SET info_ratio_4y = info_a, m2_4y = m2_a, tracking_error_4y = track_error_a, var_4y = var, cvar_4y = cvar
  518. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  519. UPDATE t
  520. SET info_ratio_5y = info_a, m2_5y = m2_a, tracking_error_5y = track_error_a, var_5y = var, cvar_5y = cvar
  521. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  522. UPDATE t
  523. SET info_ratio_10y = info_a, m2_10y = m2_a, tracking_error_10y = track_error_a, var_10y = var, cvar_10y = cvar
  524. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  525. UPDATE t
  526. SET info_ratio_ytd = info_a, m2_ytd = m2_a, tracking_error_ytd = track_error_a
  527. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  528. UPDATE t
  529. SET info_ratio_incep = info_a, m2_incep = m2_a, tracking_error_incep = track_error_a, var_incep = var, cvar_incep = cvar
  530. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  531. INSERT INTO entity_indicator SELECT * FROM t;
  532. } else {
  533. }
  534. }
  535. /*
  536. * 按照 XXX_style_stats 表结构准备数据记录
  537. *
  538. *
  539. */
  540. def generate_entity_style_stats(entity_info, indicators, isToMySQL, mutable entity_style_stats) {
  541. t = null;
  542. if(indicators['PBI-6M'].isVoid() || indicators['PBI-6M'].size() == 0) return;
  543. if(isToMySQL) {
  544. t = SELECT entity_id, end_date, upside_capture_ret AS upsidecapture_ret_6m, downside_capture_ret AS downsidecapture_ret_6m,
  545. upside_capture_ratio AS upsidecapture_ratio_6m, downside_capture_ratio AS downsidecapture_ratio_6m
  546. FROM indicators['PBI-6M'] AS ind
  547. INNER JOIN entity_info fi ON ind.entity_id = fi.entity_id
  548. WHERE ind.end_date >= fi.price_date.month(); // 过滤掉不必更新的旧记录
  549. UPDATE t
  550. SET upsidecapture_ret_1y = upside_capture_ret, downsidecapture_ret_1y = downside_capture_ret,
  551. upsidecapture_ratio_1y = upside_capture_ratio, downsidecapture_ratio_1y = downside_capture_ratio
  552. FROM ej(t, indicators['PBI-1Y'], ['entity_id', 'end_date']);
  553. UPDATE t
  554. SET upsidecapture_ret_2y = upside_capture_ret, downsidecapture_ret_2y = downside_capture_ret,
  555. upsidecapture_ratio_2y = upside_capture_ratio, downsidecapture_ratio_2y = downside_capture_ratio
  556. FROM ej(t, indicators['PBI-2Y'], ['entity_id', 'end_date']);
  557. UPDATE t
  558. SET upsidecapture_ret_3y = upside_capture_ret, downsidecapture_ret_3y = downside_capture_ret,
  559. upsidecapture_ratio_3y = upside_capture_ratio, downsidecapture_ratio_3y = downside_capture_ratio
  560. FROM ej(t, indicators['PBI-3Y'], ['entity_id', 'end_date']);
  561. UPDATE t
  562. SET upsidecapture_ret_4y = upside_capture_ret, downsidecapture_ret_4y = downside_capture_ret,
  563. upsidecapture_ratio_4y = upside_capture_ratio, downsidecapture_ratio_4y = downside_capture_ratio
  564. FROM ej(t, indicators['PBI-4Y'], ['entity_id', 'end_date']);
  565. UPDATE t
  566. SET upsidecapture_ret_5y = upside_capture_ret, downsidecapture_ret_5y = downside_capture_ret,
  567. upsidecapture_ratio_5y = upside_capture_ratio, downsidecapture_ratio_5y = downside_capture_ratio
  568. FROM ej(t, indicators['PBI-5Y'], ['entity_id', 'end_date']);
  569. UPDATE t
  570. SET upsidecapture_ret_10y = upside_capture_ret, downsidecapture_ret_10y = downside_capture_ret,
  571. upsidecapture_ratio_10y = upside_capture_ratio, downsidecapture_ratio_10y = downside_capture_ratio
  572. FROM ej(t, indicators['PBI-10Y'], ['entity_id', 'end_date']);
  573. UPDATE t
  574. SET upsidecapture_ret_ytd = upside_capture_ret, downsidecapture_ret_ytd = downside_capture_ret,
  575. upsidecapture_ratio_ytd = upside_capture_ratio, downsidecapture_ratio_ytd = downside_capture_ratio
  576. FROM ej(t, indicators['PBI-YTD'], ['entity_id', 'end_date']);
  577. UPDATE t
  578. SET upsidecapture_ret_incep = upside_capture_ret, downsidecapture_ret_incep = downside_capture_ret,
  579. upsidecapture_ratio_incep = upside_capture_ratio, downsidecapture_ratio_incep = downside_capture_ratio
  580. FROM ej(t, indicators['PBI-INCEP'], ['entity_id', 'end_date']);
  581. INSERT INTO entity_style_stats SELECT * FROM t;
  582. } else {
  583. }
  584. }
  585. /*
  586. * 按照 XXX_performance_weekly 表结构准备数据记录
  587. *
  588. *
  589. */
  590. def generate_entity_performance_weekly(entity_info, ret_w, isToMySQL, mutable entity_performance_weekly) {
  591. t = null;
  592. if(ret_w.isVoid() || ret_w.size() == 0) return;
  593. if(isToMySQL) {
  594. 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,
  595. cumulative_nav, ret_1w
  596. FROM ret_w r
  597. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  598. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  599. INSERT INTO entity_performance_weekly SELECT * FROM t;
  600. } else {
  601. }
  602. }
  603. /*
  604. * 按照 XXX_latest_performance 表结构准备数据记录
  605. *
  606. *
  607. */
  608. def generate_entity_latest_performance(entity_info, perf_latest, isToMySQL, mutable entity_latest_performance) {
  609. t = null;
  610. if(perf_latest.isVoid() || perf_latest.size() == 0) return;
  611. if(isToMySQL) {
  612. t = SELECT r.*
  613. FROM perf_latest r
  614. INNER JOIN entity_info fi ON r.entity_id = fi.entity_id
  615. WHERE r.price_date >= fi.price_date; // 过滤掉不必更新的旧记录
  616. INSERT INTO entity_latest_performance SELECT * FROM t;
  617. } else {
  618. }
  619. }