service.py 130 KB

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  1. import xml.etree.ElementTree as ET
  2. from typing import Union
  3. from fastapi import FastAPI
  4. import os
  5. import json
  6. import uuid
  7. import re
  8. from fastapi.middleware.cors import CORSMiddleware
  9. from pydantic import BaseModel
  10. import pandas as pd
  11. from numpy import float64, int64
  12. def chaifen(result, zhuanye):
  13. clde = result['clde']
  14. if clde == None:
  15. return result
  16. if zhuanye == 10:
  17. pbf = pd.read_csv("de/tj/JD_PeiBiF.csv")
  18. clk = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  19. elif zhuanye == 20:
  20. pbf = pd.read_csv("de/sz/JD_PeiBiF.csv")
  21. clk = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  22. elif zhuanye == 30:
  23. pbf = pd.read_csv("de/az/JD_PeiBiF.csv")
  24. clk = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  25. elif zhuanye == 40:
  26. pbf = pd.read_csv("de/yl/JD_PeiBiF.csv")
  27. clk = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  28. elif zhuanye == 50:
  29. pbf = pd.read_csv("de/xstj/JD_PeiBiF.csv")
  30. clk = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  31. else:
  32. pbf = pd.read_csv("de/xsaz/JD_PeiBiF.csv")
  33. clk = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  34. for entry in clde:
  35. filtered = pbf[pbf["PBBH"]==entry['CLBH']]
  36. if len(filtered) > 0:
  37. entry["children"] = []
  38. ids = filtered['RcjID'].tolist()
  39. cls = clk[clk['RcjID'].isin(ids)]
  40. joined = pd.merge(filtered, cls, on='RcjID')
  41. for row in joined.itertuples():
  42. CLBH = row.CLBH
  43. CLMC = row.CLMC
  44. JLDW = row.JLDW
  45. YSJG = row.YSJG
  46. SL = float(row.SL) * float(entry['SL'])
  47. HJ = float(row.HJ) * float(entry['SL'])
  48. entry['children'].append({'CLBH': CLBH,
  49. 'CLMC': CLMC,
  50. 'JLDW': JLDW,
  51. 'YSJG': YSJG,
  52. 'SL': SL,
  53. 'HJ': HJ
  54. })
  55. ##print(result)
  56. return result
  57. def getQingdanTuijian(bh, bt, bm):
  58. result = []
  59. try:
  60. all = pd.read_csv("QingDanAllInOne.csv")
  61. bm_ = int(bm) // 1000
  62. hit = all[all["qdbh"] == str(bm_)]
  63. for i in range(len(hit)):
  64. result.append({'ID': hit.iloc[i]["index"].item(), '定额编号': hit.iloc[i]["debh"], '工程量名称': hit.iloc[i]["gclmc"], '工作内容': hit.iloc[i]["work"]})
  65. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  66. finally:
  67. return result
  68. def getQdmx(root, bh, bt):
  69. result = []
  70. #result = [["序号", "清单编码", "名称", "项目特征", "计算规则", "单位", "数量", "综合单价", "合价", "人工费", "主材费", "设备费", "辅材费", "材料费", "机械费", "管理费", "利润" , "暂估价", "综合人工工日", "备注" ]]
  71. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  72. item = None
  73. for child in root:
  74. if child.tag == "Dxgcxx":
  75. for child1 in child:
  76. Dwgcbh = child1.attrib["Dwgcbh"]
  77. if Dwgcbh == bh:
  78. item = child1
  79. break
  80. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  81. Fywj = None
  82. for child in item:
  83. if child.tag == 'Qdxm':
  84. Fywj= child
  85. break
  86. container = None
  87. for child in Fywj:
  88. ##child is mx
  89. if child.tag == "QdBt":
  90. if child.attrib["Mc"] == bt:
  91. count = 0
  92. for grandchild in child:
  93. count = count + 1
  94. if count > 0:
  95. container = child
  96. break
  97. if container == None:
  98. container = Fywj
  99. for child in container:
  100. #result = [["序号", "清单编码", "名称", "项目特征", "计算规则", "单位", "数量", "综合单价", "合价", "人工费", "主材费",
  101. # "设备费", "辅材费", "材料费", "机械费", "管理费", "利润" , "暂估价", "综合人工工日", "备注" ]]
  102. result.append({
  103. "操作" : "",
  104. "序号": child.attrib["Xh"], "清单编码" : child.attrib["Qdbm"], "名称" : child.attrib["Mc"],"项目特征" : child.attrib["Xmtz"],
  105. "计算规则" : child.attrib["Jsgz"],
  106. "单位" : child.attrib["Dw"],
  107. "数量": child.attrib["Sl"],
  108. "综合单价" : child.attrib["Zhdj"],
  109. "合价" : child.attrib["Zhhj"],
  110. "人工费": child.attrib["Rgf"],
  111. "主材费" : child.attrib["Zcf"],
  112. "设备费": child.attrib["Sbf"],
  113. "辅材费": child.attrib["Fcf"],
  114. "材料费" : child.attrib["Clf"],
  115. "机械费" : child.attrib["Jxf"],
  116. "管理费": child.attrib["Glf"],
  117. "利润": child.attrib["Lr"],
  118. "暂估价" : child.attrib["Zgj"],
  119. "综合人工工日" : child.attrib["Zgr"],
  120. "备注" : child.attrib["Bz"]}
  121. )
  122. for child_zj in child:
  123. if child_zj.tag == "Qdxdezj":
  124. for child_mx in child_zj:
  125. if child_mx.tag == "QdxdezjMx":
  126. key = str(uuid.uuid4())
  127. child_mx.set("key", key)
  128. ##print("set key")
  129. ##print(key)
  130. ##print(child_mx)
  131. parent = result[-1]
  132. if "__children" in parent:
  133. parent["__children"].append({
  134. "key": key,
  135. "操作" : "",
  136. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  137. "计算规则" : None,
  138. "单位" : child_mx.attrib["Dw"],
  139. "数量": child_mx.attrib["DwQdSl"],
  140. "综合单价" : child_mx.attrib["Dj"],
  141. "合价" : child_mx.attrib["Hj"],
  142. "人工费": child_mx.attrib["Rgf"],
  143. "主材费" : child_mx.attrib["Zcf"],
  144. "设备费": child_mx.attrib["Sbf"],
  145. "辅材费": child_mx.attrib["Fcf"],
  146. "材料费" : child_mx.attrib["Clf"],
  147. "机械费" : child_mx.attrib["Jxf"],
  148. "管理费": child_mx.attrib["Glf"],
  149. "利润": child_mx.attrib["Lr"],
  150. "暂估价" : None,
  151. "综合人工工日" : None,
  152. "备注" : None}
  153. )
  154. else:
  155. parent["__children"] = [{
  156. "key": key,
  157. "操作" : "",
  158. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  159. "计算规则" : None,
  160. "单位" : child_mx.attrib["Dw"],
  161. "数量": child_mx.attrib["DwQdSl"],
  162. "综合单价" : child_mx.attrib["Dj"],
  163. "合价" : child_mx.attrib["Hj"],
  164. "人工费": child_mx.attrib["Rgf"],
  165. "主材费" : child_mx.attrib["Zcf"],
  166. "设备费": child_mx.attrib["Sbf"],
  167. "辅材费": child_mx.attrib["Fcf"],
  168. "材料费" : child_mx.attrib["Clf"],
  169. "机械费" : child_mx.attrib["Jxf"],
  170. "管理费": child_mx.attrib["Glf"],
  171. "利润": child_mx.attrib["Lr"],
  172. "暂估价" : None,
  173. "综合人工工日" : None,
  174. "备注" : None}]
  175. return result
  176. def getQdmx_default(root, bh, bt):
  177. result = []
  178. #result = [["序号", "清单编码", "名称", "项目特征", "计算规则", "单位", "数量", "综合单价", "合价", "人工费", "主材费", "设备费", "辅材费", "材料费", "机械费", "管理费", "利润" , "暂估价", "综合人工工日", "备注" ]]
  179. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  180. item = None
  181. for child in root:
  182. if child.tag == "Dxgcxx":
  183. for child1 in child:
  184. Dwgcbh = child1.attrib["Dwgcbh"]
  185. if Dwgcbh == bh:
  186. item = child1
  187. break
  188. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  189. Fywj = None
  190. for child in item:
  191. if child.tag == 'Qdxm':
  192. Fywj= child
  193. break
  194. container = None
  195. for child in Fywj:
  196. ##child is mx
  197. if child.tag == "Qdmx":
  198. #result = [["序号", "清单编码", "名称", "项目特征", "计算规则", "单位", "数量", "综合单价", "合价", "人工费", "主材费",
  199. # "设备费", "辅材费", "材料费", "机械费", "管理费", "利润" , "暂估价", "综合人工工日", "备注" ]]
  200. result.append({
  201. "操作" : "",
  202. "序号": child.attrib["Xh"], "清单编码" : child.attrib["Qdbm"], "名称" : child.attrib["Mc"],"项目特征" : child.attrib["Xmtz"],
  203. "计算规则" : child.attrib["Jsgz"],
  204. "单位" : child.attrib["Dw"],
  205. "数量": child.attrib["Sl"],
  206. "综合单价" : child.attrib["Zhdj"],
  207. "合价" : child.attrib["Zhhj"],
  208. "人工费": child.attrib["Rgf"],
  209. "主材费" : child.attrib["Zcf"],
  210. "设备费": child.attrib["Sbf"],
  211. "辅材费": child.attrib["Fcf"],
  212. "材料费" : child.attrib["Clf"],
  213. "机械费" : child.attrib["Jxf"],
  214. "管理费": child.attrib["Glf"],
  215. "利润": child.attrib["Lr"],
  216. "暂估价" : child.attrib["Zgj"],
  217. "综合人工工日" : child.attrib["Zgr"],
  218. "备注" : child.attrib["Bz"]}
  219. )
  220. for child_zj in child:
  221. if child_zj.tag == "Qdxdezj":
  222. for child_mx in child_zj:
  223. if child_mx.tag == "QdxdezjMx":
  224. key = str(uuid.uuid4())
  225. child_mx.set("key", key)
  226. ##print("set key")
  227. ##print(key)
  228. ##print(child_mx)
  229. parent = result[-1]
  230. if "__children" in parent:
  231. parent["__children"].append({
  232. "key": key,
  233. "操作" : "",
  234. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  235. "计算规则" : None,
  236. "单位" : child_mx.attrib["Dw"],
  237. "数量": child_mx.attrib["DwQdSl"],
  238. "综合单价" : child_mx.attrib["Dj"],
  239. "合价" : child_mx.attrib["Hj"],
  240. "人工费": child_mx.attrib["Rgf"],
  241. "主材费" : child_mx.attrib["Zcf"],
  242. "设备费": child_mx.attrib["Sbf"],
  243. "辅材费": child_mx.attrib["Fcf"],
  244. "材料费" : child_mx.attrib["Clf"],
  245. "机械费" : child_mx.attrib["Jxf"],
  246. "管理费": child_mx.attrib["Glf"],
  247. "利润": child_mx.attrib["Lr"],
  248. "暂估价" : None,
  249. "综合人工工日" : None,
  250. "备注" : None}
  251. )
  252. else:
  253. parent["__children"] = [{
  254. "key": key,
  255. "操作" : "",
  256. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  257. "计算规则" : None,
  258. "单位" : child_mx.attrib["Dw"],
  259. "数量": child_mx.attrib["DwQdSl"],
  260. "综合单价" : child_mx.attrib["Dj"],
  261. "合价" : child_mx.attrib["Hj"],
  262. "人工费": child_mx.attrib["Rgf"],
  263. "主材费" : child_mx.attrib["Zcf"],
  264. "设备费": child_mx.attrib["Sbf"],
  265. "辅材费": child_mx.attrib["Fcf"],
  266. "材料费" : child_mx.attrib["Clf"],
  267. "机械费" : child_mx.attrib["Jxf"],
  268. "管理费": child_mx.attrib["Glf"],
  269. "利润": child_mx.attrib["Lr"],
  270. "暂估价" : None,
  271. "综合人工工日" : None,
  272. "备注" : None}]
  273. return result
  274. def getQdxm_addition(root, id):
  275. result = []
  276. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  277. item = None
  278. for child in root:
  279. if child.tag == "Dxgcxx":
  280. for child1 in child:
  281. Dwgcbh = child1.attrib["Dwgcbh"]
  282. if Dwgcbh == id:
  283. item = child1
  284. break
  285. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  286. Fywj = None
  287. for child in item:
  288. if child.tag == 'Qdxm':
  289. Fywj= child
  290. break
  291. for child in Fywj:
  292. ##child is mx
  293. if child.tag == "QdBt":
  294. count = 0
  295. for grandchild in child:
  296. count = count + 1
  297. if count > 0:
  298. result.append({'Bz': child.attrib["Bz"], 'Je': child.attrib['Je'], 'Mc': child.attrib['Mc'], 'Xh': child.attrib['Xh'], 'Zgj': child.attrib['Zgj']})
  299. return result
  300. def getQdxm(root, id):###qdxm下面既有qdmx,也有qdbt,qdbt可能为空
  301. result = []
  302. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  303. item = None
  304. for child in root:
  305. if child.tag == "Dxgcxx":
  306. for child1 in child:
  307. Dwgcbh = child1.attrib["Dwgcbh"]
  308. if Dwgcbh == id:
  309. item = child1
  310. break
  311. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  312. Fywj = None
  313. for child in item:
  314. if child.tag == 'Qdxm':
  315. Fywj= child
  316. break
  317. for child in Fywj:
  318. ##child is mx
  319. if child.tag == 'Qdmx':
  320. if 'Default' in result:
  321. pass
  322. else:
  323. result.append('Default')
  324. if child.tag == "QdBt":
  325. count = 0
  326. for grandchild in child:
  327. count = count + 1
  328. if count > 0:
  329. result.append(child.attrib["Mc"])
  330. return result
  331. def getZjcs(root, id):
  332. result = []
  333. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  334. item = None
  335. for child in root:
  336. if child.tag == "Dxgcxx":
  337. for child1 in child:
  338. Dwgcbh = child1.attrib["Dwgcbh"]
  339. if Dwgcbh == id:
  340. item = child1
  341. break
  342. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  343. Fywj = None
  344. for child in item:
  345. if child.tag == 'Csxm':
  346. Fywj= child
  347. break
  348. Zjcs_parent = None
  349. for child in Fywj:
  350. if child.tag == 'ZjCs':
  351. Zjcs_parent = child
  352. break
  353. for child in Zjcs_parent:
  354. ##child is mx {
  355. result.append({
  356. "序号" : child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  357. "计算基数" : child.attrib["Js"],
  358. "计算基础" : child.attrib["Jsjc"], "费率" : child.attrib["Fl"],
  359. "金额" : child.attrib["Je"], "项目类别" : child.attrib["Xmlb"]})
  360. __children = []
  361. for grandchild in child:
  362. __children.append({
  363. "序号" : None, "清单编码": None, "名称" : grandchild.attrib["Mc"],
  364. "计算基数" : grandchild.attrib["Js"],
  365. "计算基础" : grandchild.attrib["Jsjc"], "费率" : grandchild.attrib["Fl"],
  366. "金额" : grandchild.attrib["Je"], "项目类别" : grandchild.attrib["Xmlb"]})
  367. if len(__children) > 0:
  368. result[-1]["__children"] = __children
  369. return result
  370. def getZcbfwf(root, id):
  371. result = []
  372. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  373. item = None
  374. for child in root:
  375. if child.tag == "Dxgcxx":
  376. for child1 in child:
  377. Dwgcbh = child1.attrib["Dwgcbh"]
  378. if Dwgcbh == id:
  379. item = child1
  380. break
  381. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  382. Fywj = None
  383. for child in item:
  384. if child.tag == 'Zcbfwf':
  385. Fywj= child
  386. break
  387. for child in Fywj:
  388. result.append(
  389. {'序号': child.attrib["Xh"],
  390. "名称" : child.attrib["Mc"], "项目价值" : child.attrib["Xmjz"], "服务内容" :child.attrib["Fwnr"], "计算基础" :child.attrib["Jsjc"],
  391. "费率" :child.attrib["Fl"], "金额" :child.attrib["Je"]}
  392. )
  393. return result
  394. def getRcjhz(root, id):
  395. result = [[ "ID", "编码", "名称", "规格型号", "单位", "数量", "单价", "合价", "产地",
  396. "供应厂商", "人材机类别", "主要材料标志", "主材标志", "设备标志", "甲供标志", "暂估价标志"]]
  397. for child in root:
  398. if child.tag == "Dxgcxx":
  399. for child1 in child:
  400. Dwgcbh = child1.attrib["Dwgcbh"]
  401. if Dwgcbh == id:
  402. item = child1
  403. break
  404. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  405. Fywj = None
  406. for child in item:
  407. if child.tag == 'Rcjhz':
  408. Fywj= child
  409. break
  410. for child in Fywj:
  411. result.append(
  412. [
  413. child.attrib["RcjId"], child.attrib["RcjBm"], child.attrib["Mc"], child.attrib["Ggxh"],
  414. child.attrib["Dw"], child.attrib["Sl"], child.attrib["Dj"], child.attrib["Hj"],
  415. child.attrib["Cd"], child.attrib["Gycs"], child.attrib["Rcjlb"],
  416. child.attrib["Zyclbz"], child.attrib["Zcbz"], child.attrib["Sbbz"], child.attrib["Jgbz"],
  417. child.attrib["Zgjbz"]]
  418. )
  419. return result
  420. def getFbrgycl(root, id):
  421. result = []
  422. for child in root:
  423. if child.tag == "Dxgcxx":
  424. for child1 in child:
  425. Dwgcbh = child1.attrib["Dwgcbh"]
  426. if Dwgcbh == id:
  427. item = child1
  428. break
  429. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  430. Fywj = None
  431. for child in item:
  432. if child.tag == 'Fbrgycl':
  433. Fywj= child
  434. break
  435. for child in Fywj:
  436. result.append(
  437. {'序号': child.attrib["Xh"],
  438. 'ID': child.attrib["RcjId"], '材料编号': child.attrib["Clbh"], '名称': child.attrib["Mc"], '规格型号': child.attrib["Ggxh"],
  439. '单位': child.attrib["Dw"], '数量': child.attrib["Sl"], '单价': child.attrib["Dj"], '合价': child.attrib["Hj"], '交货方式': child.attrib["Jhfs"],
  440. '送达地点': child.attrib["Sddd"], '备注': child.attrib["Bz"]}
  441. )
  442. return result
  443. def getJrg(root, id):
  444. result = []
  445. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  446. item = None
  447. for child in root:
  448. if child.tag == "Dxgcxx":
  449. for child1 in child:
  450. Dwgcbh = child1.attrib["Dwgcbh"]
  451. if Dwgcbh == id:
  452. item = child1
  453. break
  454. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  455. Fywj = None
  456. for child in item:
  457. if child.tag == 'Jrg':
  458. Fywj= child
  459. break
  460. for child in Fywj:
  461. result.append(
  462. {'序号': child.attrib["Xh"],
  463. '名称': child.attrib["Mc"], '金额': child.attrib["Je"], '类别': child.attrib["Lb"]}
  464. )
  465. return result
  466. def getZlje(root, id):
  467. result = []
  468. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  469. item = None
  470. for child in root:
  471. if child.tag == "Dxgcxx":
  472. for child1 in child:
  473. Dwgcbh = child1.attrib["Dwgcbh"]
  474. if Dwgcbh == id:
  475. item = child1
  476. break
  477. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  478. Fywj = None
  479. for child in item:
  480. if child.tag == 'Zlje':
  481. Fywj= child
  482. break
  483. for child in Fywj:
  484. result.append(
  485. {'序号': child.attrib["Xh"],
  486. '名称': child.attrib["Mc"], '单位': child.attrib["Dw"], '暂定金额': child.attrib["Zdje"], '备注': child.attrib["Bz"]}
  487. )
  488. return result
  489. def getZygczgj(root, id):
  490. result = []
  491. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  492. item = None
  493. for child in root:
  494. if child.tag == "Dxgcxx":
  495. for child1 in child:
  496. Dwgcbh = child1.attrib["Dwgcbh"]
  497. if Dwgcbh == id:
  498. item = child1
  499. break
  500. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  501. Fywj = None
  502. for child in item:
  503. if child.tag == 'Zygczg':
  504. Fywj= child
  505. break
  506. for child in Fywj:
  507. result.append(
  508. {'序号': child.attrib["Xh"],
  509. '名称': child.attrib["Mc"], '工程内容': child.attrib["Gcnr"], '金额': child.attrib["Je"], '备注': child.attrib["Bz"]}
  510. )
  511. return result
  512. def getQtxm(root, id):
  513. result = []
  514. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  515. item = None
  516. for child in root:
  517. if child.tag == "Dxgcxx":
  518. for child1 in child:
  519. Dwgcbh = child1.attrib["Dwgcbh"]
  520. if Dwgcbh == id:
  521. item = child1
  522. break
  523. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  524. Fywj = None
  525. for child in item:
  526. if child.tag == 'Qtxm':
  527. Fywj= child
  528. break
  529. for child in Fywj:
  530. ##child is mx
  531. xh = child.attrib["Xh"]
  532. if "." in xh:
  533. count = 0
  534. for entry in xh:
  535. if entry == ".":
  536. count = count + 1
  537. if count == 1:
  538. parent = result[-1]
  539. if "__children" in parent:
  540. children = parent["__children"]
  541. children.append(
  542. {"序号":xh, "名称": child.attrib["Mc"],
  543. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}
  544. )
  545. else:
  546. parent["__children"] = [
  547. {"序号":xh, "名称": child.attrib["Mc"],
  548. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}]
  549. else:
  550. result.append(
  551. {"序号":xh, "名称": child.attrib["Mc"],
  552. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}
  553. )
  554. return result
  555. def getGfsj(root, id):
  556. result = []
  557. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  558. item = None
  559. for child in root:
  560. if child.tag == "Dxgcxx":
  561. for child1 in child:
  562. Dwgcbh = child1.attrib["Dwgcbh"]
  563. if Dwgcbh == id:
  564. item = child1
  565. break
  566. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  567. Fywj = None
  568. for child in item:
  569. if child.tag == 'Gfsj':
  570. Fywj= child
  571. break
  572. for child in Fywj:
  573. ##child is mx
  574. xh = child.attrib["Xh"]
  575. if "." in xh:
  576. count = 0
  577. for entry in xh:
  578. if entry == ".":
  579. count = count + 1
  580. if count == 1:
  581. parent = result[-1]
  582. if "__children" in parent:
  583. children = parent["__children"]
  584. children.append({"序号":xh, "名称": child.attrib["Mc"], "取费基数": child.attrib["Qfjs"], "计算基础": child.attrib["Jsjc"], "费率": child.attrib['Fl'], "金额": child.attrib["Je"], "类别" : child.attrib["Fyxlb"]})
  585. else:
  586. parent["__children"] = [{"序号":xh, "名称": child.attrib["Mc"], "取费基数": child.attrib["Qfjs"], "计算基础": child.attrib["Jsjc"], "费率": child.attrib['Fl'], "金额": child.attrib["Je"], "类别" : child.attrib["Fyxlb"]}]
  587. elif count == 2:
  588. parent = result[-1]
  589. if "__children" in parent:
  590. parent = parent["__children"][-1]
  591. ##print(parent)
  592. if "__children" in parent:
  593. children = parent["__children"]
  594. children.append({"序号":xh, "名称": child.attrib["Mc"], "取费基数": child.attrib["Qfjs"], "计算基础": child.attrib["Jsjc"], "费率": child.attrib['Fl'], "金额": child.attrib["Je"], "类别" : child.attrib["Fyxlb"]})
  595. else:
  596. parent["__children"] = [{"序号":xh, "名称": child.attrib["Mc"], "取费基数": child.attrib["Qfjs"], "计算基础": child.attrib["Jsjc"], "费率": child.attrib['Fl'], "金额": child.attrib["Je"], "类别" : child.attrib["Fyxlb"]}]
  597. else:
  598. ###["序号", "名称", "取费基数", "计算基础", "金额", "类别"]);
  599. result.append({"序号":xh, "名称": child.attrib["Mc"], "取费基数": child.attrib["Qfjs"], "计算基础": child.attrib["Jsjc"], "费率": child.attrib['Fl'], "金额": child.attrib["Je"], "类别" : child.attrib["Fyxlb"]})
  600. return result
  601. def getBjhz(root, id):
  602. ##print(root)
  603. ##print(id)
  604. result = []
  605. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  606. item = None
  607. for child in root:
  608. if child.tag == "Dxgcxx":
  609. for child1 in child:
  610. Dwgcbh = child1.attrib["Dwgcbh"]
  611. if Dwgcbh == id:
  612. item = child1
  613. break
  614. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  615. ##print(item)
  616. Fywj = None
  617. for child in item:
  618. if child.tag == 'Fywj':
  619. Fywj= child
  620. break
  621. for child in Fywj:
  622. ##child is mx
  623. xh = child.attrib["Xh"]
  624. if "." in xh:
  625. count = 0
  626. for entry in xh:
  627. if entry == ".":
  628. count = count + 1
  629. if count == 1:
  630. parent = result[-1]
  631. if "__children" in parent:
  632. children = parent["__children"]
  633. children.append({"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"], "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]})
  634. else:
  635. parent["__children"] = [{"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"], "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]}]
  636. elif count == 2:
  637. parent = result[-1]
  638. if "__children" in parent:
  639. parent = parent["__children"][-1]
  640. ##print(parent)
  641. if "__children" in parent:
  642. children = parent["__children"]
  643. children.append({"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"], "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]})
  644. else:
  645. parent["__children"] = [{"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"], "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]}]
  646. else:
  647. ###"序号", "名称", "金额", "暂估价", "类别"]
  648. result.append({"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"],
  649. "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]})
  650. return result
  651. def processQds(dataframe, from_, end, level):
  652. result = []
  653. for i in range(from_, end):
  654. item = dataframe.iloc[i]
  655. fbcch = str(item['fbcch'])
  656. if fbcch == str(level):
  657. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "name": str(item['qdbh']) + " " + str(item["xmmc"]), "title": str(item['qdbh'])}
  658. next = i + 1
  659. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  660. next = next + 1
  661. entry["children"] = processQds(dataframe, i + 1, next, level + 1)
  662. result.append(entry)
  663. return result
  664. def processDes(dataframe, from_, end, level):
  665. result = []
  666. for i in range(from_, end):
  667. item = dataframe.iloc[i]
  668. fbcch = str(item['fbcch'])
  669. if fbcch == str(level):
  670. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["zjbt"]), "title": str(item["zjbt"])}
  671. next = i + 1
  672. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  673. next = next + 1
  674. entry["children"] = processDes(dataframe, i + 1, next, level + 1)
  675. result.append(entry)
  676. return result
  677. def processPbs(dataframe, from_, end, level):
  678. result = []
  679. for i in range(from_, end):
  680. item = dataframe.iloc[i]
  681. fbcch = str(item['fbcch'])
  682. if fbcch == str(level):
  683. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["pblbh"]}
  684. next = i + 1
  685. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  686. next = next + 1
  687. entry["children"] = processPbs(dataframe, i + 1, next, level + 1)
  688. result.append(entry)
  689. return result
  690. def processJxs(dataframe, from_, end, level):
  691. result = []
  692. for i in range(from_, end):
  693. item = dataframe.iloc[i]
  694. fbcch = str(item['fbcch'])
  695. if fbcch == str(level):
  696. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["jxlbh"]}
  697. next = i + 1
  698. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  699. next = next + 1
  700. entry["children"] = processJxs(dataframe, i + 1, next, level + 1)
  701. result.append(entry)
  702. return result
  703. def processCls(dataframe, from_, end, level):
  704. result = []
  705. for i in range(from_, end):
  706. item = dataframe.iloc[i]
  707. fbcch = str(item['fbcch'])
  708. if fbcch == str(level):
  709. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["cllbh"].item() if type(item["cllbh"]) == int64 else item["cllbh"]}
  710. ##print(entry)
  711. next = i + 1
  712. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  713. next = next + 1
  714. entry["children"] = processCls(dataframe, i + 1, next, level + 1)
  715. result.append(entry)
  716. return result
  717. def getCankao():
  718. tree = ET.parse('de/DeData_Fl.xml')
  719. root = tree.getroot()
  720. JSFF = None
  721. CsFl = None
  722. result = []
  723. for child in root:
  724. if child.tag == "JJFF":
  725. for grandchild in child:
  726. if grandchild.tag == 'JSFF':
  727. JSFF = grandchild
  728. for child in JSFF:
  729. if child.attrib['Markup'] == '1':
  730. for grandchild in child:
  731. if grandchild.tag == 'CsFl':
  732. CsFl = grandchild
  733. for child in CsFl:
  734. result.append({'工程类型': child.attrib['Gclx'], '名称': child.attrib['Mc'], '计算基础': child.attrib['Jsjc'],
  735. '参考费率': child.attrib['CkFl'], '地区': child.attrib['Dq'], '备注': child.attrib['Bz']})
  736. return result
  737. def getQds():
  738. shu = pd.read_csv("JD_QingDanXM.csv")
  739. length = len(shu)
  740. return processQds(shu, 0, length, 1)
  741. def getQingdan(bm):
  742. shu = pd.read_csv("JD_QingDanXM.csv")
  743. filtered = shu[shu['qdbh']==(bm)]
  744. filtered = filtered.fillna("")
  745. print(filtered)
  746. if len(filtered) == 0:
  747. return []
  748. data = filtered.iloc[0]
  749. tz = pd.read_csv("JD_QingDanTZ.csv")
  750. tz_ = tz[tz['Qdbm'] == data['qdbh']]['Qdtz']
  751. tz_list = tz_.to_list()
  752. nr = pd.read_csv("JD_QingDanGZNR.csv")
  753. nr_ = nr[nr['Qdbm'] == data['qdbh']]['Gznr']
  754. nr_list = nr_.to_list()
  755. return [{
  756. "id" : data['ID'].item(),
  757. "清单编码" : data['qdbh'],
  758. "项目名称" : data["xmmc"],
  759. "项目特征" : "\n".join(tz_list),
  760. "计量单位" : data["dw"],
  761. "工程量计算规则" : data["qdjsgz"],
  762. "工作内容" : "\n".join(nr_list)
  763. }]
  764. def getDes(value):
  765. if value == 10:
  766. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  767. elif value == 20:
  768. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  769. elif value == 30:
  770. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  771. elif value == 40:
  772. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  773. elif value == 50:
  774. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  775. else:
  776. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  777. length = len(shu)
  778. return processDes(shu, 1, length, 2)
  779. def getPbs(value):
  780. if value == 10:
  781. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  782. elif value == 20:
  783. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  784. elif value == 30:
  785. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  786. else:
  787. return []
  788. length = len(shu)
  789. return processPbs(shu, 0, length, 1)
  790. def getJxs(value):
  791. if value == 10:
  792. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  793. elif value == 20:
  794. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  795. elif value == 30:
  796. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  797. else:
  798. return []
  799. length = len(shu)
  800. return processJxs(shu, 0, length, 1)
  801. def getCls(value):
  802. if value == 10:
  803. shu = pd.read_csv("de/tj/JD_CaiLiaoFLB.csv")
  804. elif value == 20:
  805. shu = pd.read_csv("de/sz/JD_CaiLiaoFLB.csv")
  806. elif value == 30:
  807. shu = pd.read_csv("de/az/JD_CaiLiaoFLB.csv")
  808. elif value == 40:
  809. shu = pd.read_csv("de/yl/JD_CaiLiaoFLB.csv")
  810. elif value == 50:
  811. shu = pd.read_csv("de/xstj/JD_CaiLiaoFLB.csv")
  812. elif value == 60:
  813. shu = pd.read_csv("de/xsaz/JD_CaiLiaoFLB.csv")
  814. else:
  815. return []
  816. length = len(shu)
  817. return processCls(shu, 0, length, 1)
  818. def read_singledexilie_tjazfy(debh):
  819. id = "412"
  820. r_debh = debh.split("!")[0]
  821. if len(debh.split("!")) == 1:
  822. return json.dumps({
  823. "reverse": id,
  824. "rgde": [],
  825. "jxde": [],
  826. "clde": [],
  827. "actual_zhuanye": 10,
  828. "bz_selected": {"BZBH": {}},
  829. "bz_selected2": {"BZBH": {}}
  830. }, ensure_ascii=False)
  831. gclmc = debh.split("!")[1]
  832. return json.dumps({
  833. "reverse": id,
  834. "DEBH": {"111": r_debh},
  835. "GCLMC": {"111": gclmc},
  836. "DW": {"111": '项'},
  837. "rgde": [],
  838. "jxde": [],
  839. "clde": [],
  840. "actual_zhuanye": 10,
  841. "bz_selected": {"BZBH": {}},
  842. "bz_selected2": {"BZBH": {}}
  843. }, ensure_ascii=False)
  844. def read_singledexilie_xsazfy(debh):
  845. id = "None"
  846. if "-F1" in debh:
  847. id = "185"
  848. elif "-F2" in debh:
  849. id = "186"
  850. elif "-F3" in debh:
  851. id = "187"
  852. r_debh = debh.split("!")[0]
  853. if len(debh.split("!")) == 1:
  854. return json.dumps({
  855. "reverse": id,
  856. "rgde": [],
  857. "jxde": [],
  858. "clde": [],
  859. "actual_zhuanye": 60,
  860. "bz_selected": {"BZBH": {}},
  861. "bz_selected2": {"BZBH": {}}
  862. }, ensure_ascii=False)
  863. gclmc = debh.split("!")[1]
  864. return json.dumps({
  865. "reverse": id,
  866. "DEBH": {"111": r_debh},
  867. "GCLMC": {"111": gclmc},
  868. "DW": {"111": '项'},
  869. "rgde": [],
  870. "jxde": [],
  871. "clde": [],
  872. "actual_zhuanye": 60,
  873. "bz_selected": {"BZBH": {}},
  874. "bz_selected2": {"BZBH": {}}
  875. }, ensure_ascii=False)
  876. def read_singledexilie_azfy(debh):
  877. id = "None"
  878. if "-F1" in debh:
  879. id = "2076"
  880. elif "-F2" in debh:
  881. id = "2077"
  882. elif "-F3" in debh:
  883. id = "2078"
  884. elif "-F4" in debh:
  885. id = "2079"
  886. elif "-F5" in debh:
  887. if '4-F5' in debh:
  888. id = "2081"
  889. elif '5-F5' in debh:
  890. id = '2082'
  891. elif '7-F5' in debh:
  892. id = '2083'
  893. elif '9-F5' in debh:
  894. id = '2084'
  895. elif '10-F5' in debh:
  896. id = '2085'
  897. elif '11-F5' in debh:
  898. id = '2086'
  899. elif "-F6" in debh:
  900. id = "2087"
  901. r_debh = debh.split("!")[0]
  902. if len(debh.split("!")) == 1:
  903. return json.dumps({
  904. "reverse": id,
  905. "rgde": [],
  906. "jxde": [],
  907. "clde": [],
  908. "actual_zhuanye": 30,
  909. "bz_selected": {"BZBH": {}},
  910. "bz_selected2": {"BZBH": {}}
  911. }, ensure_ascii=False)
  912. gclmc = debh.split("!")[1]
  913. return json.dumps({
  914. "reverse": id,
  915. "DEBH": {"111": r_debh},
  916. "GCLMC": {"111": gclmc},
  917. "DW": {"111": '项'},
  918. "rgde": [],
  919. "jxde": [],
  920. "clde": [],
  921. "actual_zhuanye": 30,
  922. "bz_selected": {"BZBH": {}},
  923. "bz_selected2": {"BZBH": {}}
  924. }, ensure_ascii=False)
  925. def getDeXilie_xsazfy(value, id):
  926. if int(id) == 184:
  927. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  928. if int(id) == 185:
  929. data = {'DW': ['项', '项', '项'],
  930. 'DEBH': ['1-F1', '2-F1', '3-F1'],
  931. "GCLMC": [ "第一章" , "第二章", "第三章"],
  932. "GCLSJDJ": ["0", "0", "0"]}
  933. df = pd.DataFrame(data)
  934. return df.to_json(force_ascii=False)
  935. if int(id) == 186:
  936. data = {'DW': ['项', '项', '项'],
  937. 'DEBH': ['1-F2', '2-F2', '3-F2'],
  938. "GCLMC": [ "第一章" , "第二章", "第三章"],
  939. "GCLSJDJ": ["0", "0", "0"]}
  940. df = pd.DataFrame(data)
  941. return df.to_json(force_ascii=False)
  942. if int(id) == 187:
  943. data = {'DW': ['项', '项', '项'],
  944. 'DEBH': ['1-F3', '2-F3', '3-F3'],
  945. "GCLMC": [ "第一章" , "第二章", "第三章"],
  946. "GCLSJDJ": ["0", "0", "0"]}
  947. df = pd.DataFrame(data)
  948. return df.to_json(force_ascii=False)
  949. def getDeXilie_azfy(value, id):
  950. if int(id) == 2075 or int(id) == 2080:
  951. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  952. if int(id) == 2076:
  953. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项", "项", "项", "项", "项", "项"],
  954. 'DEBH': ['2-F1', '2-F1', '3-F1', '3-F1', '4-F1',
  955. '5-F1', '6-F1', '7-F1', '8-F1', '9-F1', '10-F1', '11-F1', '11-F1', '11-F1', '11-F1', '11-F1'],
  956. "GCLMC": ["第二册第1-5章(定额2-1~2-390)", "第二册第6章(定额2-391~2-9999)", "第三册静置设备制作(定额3-1~3-615)",
  957. "第三册除静置设备制作以外(定额3-616~3-9999)", "第四册",
  958. "第五册", "第六册", "第七册", "第八册", "第九册", "第十册",
  959. "第十一册刷油工程(定额11-51~11-329)",
  960. "第十一册防腐蚀工程(定额11-330~11-1689)", "第十一册绝热工程(定额11-1690~11-2327)", "第十一册除锈工程(定额11-1~11-50)刷油工程", "第十一册除锈工程(定额11-1~11-50)防腐蚀工程"],
  961. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  962. df = pd.DataFrame(data)
  963. return df.to_json(force_ascii=False)
  964. if int(id) == 2077:
  965. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项','项','项',
  966. '项','项','项','项','项','项','项','项','项','项',
  967. '项','项','项',
  968. '项','项', "项",'项','项','项','项', "项",'项', "项"],
  969. 'DEBH': ['1-F2', '1-F2','1-F2','1-F2','1-F2','1-F2','1-F2','1-F2','1-F2','1-F2','1-F2','1-F2',
  970. '4-F2', '5-F2', '5-F2', '5-F2','6-F2',
  971. '7-F2', '9-F2','9-F2','9-F2','9-F2', '10-F2','10-F2','10-F2','10-F2',
  972. '11-F2','11-F2','11-F2','11-F2', '11-F2','11-F2','11-F2' ],
  973. "GCLMC": ["第一册第1-6章(定额1-1~1-571)10-15m",
  974. "第一册第1-6章(定额1-1~1-571)15-20m",
  975. "第一册第1-6章(定额1-1~1-571)20-25m",
  976. "第一册第1-6章(定额1-1~1-571)25-30m",
  977. "第一册第1-6章(定额1-1~1-571)30-40m",
  978. "第一册第1-6章(定额1-1~1-571)40m以上",
  979. "第一册第8-14章(定额1-672~1-9999)10-15m",
  980. "第一册第8-14章(定额1-672~1-9999)15-20m",
  981. "第一册第8-14章(定额1-672~1-9999)20-25m",
  982. "第一册第8-14章(定额1-672~1-9999)25-30m",
  983. "第一册第8-14章(定额1-672~1-9999)30-40m",
  984. "第一册第8-14章(定额1-672~1-9999)40m以上",
  985. "第四册",
  986. "第五册5m以上到10m以内",
  987. "第五册10-20m",
  988. "第五册20m以上",
  989. "第六册", "第七册",
  990. "第九册5m以上到8m以内",
  991. "第九册8-12m",
  992. "第九册12-16m",
  993. "第九册16-20m",
  994. "第十册3.6-8m以内",
  995. "第十册8-12m以内",
  996. "第十册12-16m以内",
  997. "第十册16-20m",
  998. "第十一册6-20m",
  999. "第十一册20-30m",
  1000. "第十一册30-40m",
  1001. "第十一册40-50m",
  1002. "第十一册50-60m",
  1003. "第十一册60-70m",
  1004. "第十一册80m以上",
  1005. ],
  1006. "GCLSJDJ": ["0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  1007. "0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  1008. "0","0", "0",
  1009. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1010. df = pd.DataFrame(data)
  1011. return df.to_json(force_ascii=False)
  1012. if int(id) == 2078:
  1013. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  1014. 'DEBH': ['1-F4', '1-F4', '2-F4', '3-F4', '4-F4',
  1015. '5-F4', '6-F4', '7-F4', '8-F4', '9-F4', '11-F4'],
  1016. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  1017. "第三册", "第四册",
  1018. "第五册", "第六册", "第七册", "第八册", "第九册",
  1019. "第十一册", ],
  1020. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1021. df = pd.DataFrame(data)
  1022. return df.to_json(force_ascii=False)
  1023. if int(id) == 2079:
  1024. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  1025. 'DEBH': ['1-F5', '1-F5', '2-F5', '3-F5', '4-F5',
  1026. '5-F5', '6-F5', '7-F5', '8-F5', '9-F5', '11-F5'],
  1027. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  1028. "第三册", "第四册",
  1029. "第五册", "第六册", "第七册", "第八册", "第九册",
  1030. "第十一册", ],
  1031. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1032. df = pd.DataFrame(data)
  1033. return df.to_json(force_ascii=False)
  1034. if int(id) == 2081:
  1035. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1036. "项", '项', '项', '项', '项', "项", "项", "项"],
  1037. 'DEBH': ['4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3',
  1038. '4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3'],
  1039. "GCLMC": ["9层或30m以内",
  1040. "12层或40m以内",
  1041. "15层或50m以内",
  1042. "18层或60m以内",
  1043. "21层或70m以内",
  1044. "24层或80m以内",
  1045. "27层或90m以内",
  1046. "30层或100m以内",
  1047. "33层或110m以内",
  1048. "36层或120m以内",
  1049. "40层或130m以内",
  1050. "42层或140m以内",
  1051. "45层或150m以内",
  1052. "48层或160m以内",
  1053. "51层或170m以内",
  1054. "54层或180m以内",
  1055. "57层或190m以内",
  1056. "60层或200m以内",
  1057. ],
  1058. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1059. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1060. df = pd.DataFrame(data)
  1061. return df.to_json(force_ascii=False)
  1062. if int(id) == 2082:
  1063. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1064. "项", '项', '项', '项', '项', "项", "项", "项"],
  1065. 'DEBH': ['5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3',
  1066. '5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3'],
  1067. "GCLMC": ["9层或30m以内",
  1068. "12层或40m以内",
  1069. "15层或50m以内",
  1070. "18层或60m以内",
  1071. "21层或70m以内",
  1072. "24层或80m以内",
  1073. "27层或90m以内",
  1074. "30层或100m以内",
  1075. "33层或110m以内",
  1076. "36层或120m以内",
  1077. "40层或130m以内",
  1078. "42层或140m以内",
  1079. "45层或150m以内",
  1080. "48层或160m以内",
  1081. "51层或170m以内",
  1082. "54层或180m以内",
  1083. "57层或190m以内",
  1084. "60层或200m以内",
  1085. ],
  1086. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1087. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1088. df = pd.DataFrame(data)
  1089. return df.to_json(force_ascii=False)
  1090. if int(id) == 2083:
  1091. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1092. "项", '项', '项', '项', '项', "项", "项", "项"],
  1093. 'DEBH': ['7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3',
  1094. '7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3'],
  1095. "GCLMC": ["9层或30m以内",
  1096. "12层或40m以内",
  1097. "15层或50m以内",
  1098. "18层或60m以内",
  1099. "21层或70m以内",
  1100. "24层或80m以内",
  1101. "27层或90m以内",
  1102. "30层或100m以内",
  1103. "33层或110m以内",
  1104. "36层或120m以内",
  1105. "40层或130m以内",
  1106. "42层或140m以内",
  1107. "45层或150m以内",
  1108. "48层或160m以内",
  1109. "51层或170m以内",
  1110. "54层或180m以内",
  1111. "57层或190m以内",
  1112. "60层或200m以内",
  1113. ],
  1114. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1115. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1116. df = pd.DataFrame(data)
  1117. return df.to_json(force_ascii=False)
  1118. if int(id) == 2084:
  1119. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1120. "项", '项', '项', '项', '项', "项", "项", "项"],
  1121. 'DEBH': ['9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3',
  1122. '9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3'],
  1123. "GCLMC": ["9层或30m以内",
  1124. "12层或40m以内",
  1125. "15层或50m以内",
  1126. "18层或60m以内",
  1127. "21层或70m以内",
  1128. "24层或80m以内",
  1129. "27层或90m以内",
  1130. "30层或100m以内",
  1131. "33层或110m以内",
  1132. "36层或120m以内",
  1133. "40层或130m以内",
  1134. "42层或140m以内",
  1135. "45层或150m以内",
  1136. "48层或160m以内",
  1137. "51层或170m以内",
  1138. "54层或180m以内",
  1139. "57层或190m以内",
  1140. "60层或200m以内",
  1141. ],
  1142. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1143. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1144. df = pd.DataFrame(data)
  1145. return df.to_json(force_ascii=False)
  1146. if int(id) == 2085:
  1147. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1148. "项", '项', '项', '项', '项', "项", "项", "项"],
  1149. 'DEBH': ['10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3',
  1150. '10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3'],
  1151. "GCLMC": ["9层或30m以内",
  1152. "12层或40m以内",
  1153. "15层或50m以内",
  1154. "18层或60m以内",
  1155. "21层或70m以内",
  1156. "24层或80m以内",
  1157. "27层或90m以内",
  1158. "30层或100m以内",
  1159. "33层或110m以内",
  1160. "36层或120m以内",
  1161. "40层或130m以内",
  1162. "42层或140m以内",
  1163. "45层或150m以内",
  1164. "48层或160m以内",
  1165. "51层或170m以内",
  1166. "54层或180m以内",
  1167. "57层或190m以内",
  1168. "60层或200m以内",
  1169. ],
  1170. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1171. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1172. df = pd.DataFrame(data)
  1173. return df.to_json(force_ascii=False)
  1174. if int(id) == 2086:
  1175. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1176. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1177. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1178. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1179. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1180. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1181. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1182. "项", '项'],
  1183. 'DEBH': ['11-F3', '11-F3',
  1184. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1185. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1186. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1187. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1188. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1189. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1190. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1191. ],
  1192. "GCLMC": [
  1193. "(按通风空调工程)9层或30m以内",
  1194. "(按通风空调工程)12层或40m以内",
  1195. "(按通风空调工程)15层或50m以内",
  1196. "(按通风空调工程)18层或60m以内",
  1197. "(按通风空调工程)21层或70m以内",
  1198. "(按通风空调工程)24层或80m以内",
  1199. "(按通风空调工程)27层或90m以内",
  1200. "(按通风空调工程)30层或100m以内",
  1201. "(按通风空调工程)33层或110m以内",
  1202. "(按通风空调工程)36层或120m以内",
  1203. "(按通风空调工程)40层或130m以内",
  1204. "(按通风空调工程)42层或140m以内",
  1205. "(按通风空调工程)45层或150m以内",
  1206. "(按通风空调工程)48层或160m以内",
  1207. "(按通风空调工程)51层或170m以内",
  1208. "(按通风空调工程)54层或180m以内",
  1209. "(按通风空调工程)57层或190m以内",
  1210. "(按通风空调工程)60层或200m以内",
  1211. ############################
  1212. "(按消防工程)9层或30m以内",
  1213. "(按消防工程)12层或40m以内",
  1214. "(按消防工程)15层或50m以内",
  1215. "(按消防工程)18层或60m以内",
  1216. "(按消防工程)21层或70m以内",
  1217. "(按消防工程)24层或80m以内",
  1218. "(按消防工程)27层或90m以内",
  1219. "(按消防工程)30层或100m以内",
  1220. "(按消防工程)33层或110m以内",
  1221. "(按消防工程)36层或120m以内",
  1222. "(按消防工程)40层或130m以内",
  1223. "(按消防工程)42层或140m以内",
  1224. "(按消防工程)45层或150m以内",
  1225. "(按消防工程)48层或160m以内",
  1226. "(按消防工程)51层或170m以内",
  1227. "(按消防工程)54层或180m以内",
  1228. "(按消防工程)57层或190m以内",
  1229. "(按消防工程)60层或200m以内",
  1230. ############################
  1231. "(按给排水、采暖工程)9层或30m以内",
  1232. "(按给排水、采暖工程)12层或40m以内",
  1233. "(按给排水、采暖工程)15层或50m以内",
  1234. "(按给排水、采暖工程)18层或60m以内",
  1235. "(按给排水、采暖工程)21层或70m以内",
  1236. "(按给排水、采暖工程)24层或80m以内",
  1237. "(按给排水、采暖工程)27层或90m以内",
  1238. "(按给排水、采暖工程)30层或100m以内",
  1239. "(按给排水、采暖工程)33层或110m以内",
  1240. "(按给排水、采暖工程)36层或120m以内",
  1241. "(按给排水、采暖工程)40层或130m以内",
  1242. "(按给排水、采暖工程)42层或140m以内",
  1243. "(按给排水、采暖工程)45层或150m以内",
  1244. "(按给排水、采暖工程)48层或160m以内",
  1245. "(按给排水、采暖工程)51层或170m以内",
  1246. "(按给排水、采暖工程)54层或180m以内",
  1247. "(按给排水、采暖工程)57层或190m以内",
  1248. "(按给排水、采暖工程)60层或200m以内",
  1249. ############################
  1250. "(按电气工程)9层或30m以内",
  1251. "(按电气工程)12层或40m以内",
  1252. "(按电气工程)15层或50m以内",
  1253. "(按电气工程)18层或60m以内",
  1254. "(按电气工程)21层或70m以内",
  1255. "(按电气工程)24层或80m以内",
  1256. "(按电气工程)27层或90m以内",
  1257. "(按电气工程)30层或100m以内",
  1258. "(按电气工程)33层或110m以内",
  1259. "(按电气工程)36层或120m以内",
  1260. "(按电气工程)40层或130m以内",
  1261. "(按电气工程)42层或140m以内",
  1262. "(按电气工程)45层或150m以内",
  1263. "(按电气工程)48层或160m以内",
  1264. "(按电气工程)51层或170m以内",
  1265. "(按电气工程)54层或180m以内",
  1266. "(按电气工程)57层或190m以内",
  1267. "(按电气工程)60层或200m以内",
  1268. ],
  1269. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1270. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1271. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1272. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1273. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1274. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1275. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1276. "0", "0" ]}
  1277. df = pd.DataFrame(data)
  1278. return df.to_json(force_ascii=False)
  1279. if int(id) == 2087:
  1280. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项"],
  1281. 'DEBH': ['1-F6', '3-F6', '4-F6', '7-F6', '8-F6',
  1282. '10-F6', '10-F6', '10-F6', '11-F6'],
  1283. "GCLMC": ["第一册 站内工艺系统",
  1284. "第三册 站内工艺系统", "第四册 站内工艺系统",
  1285. "第七册", "第八册 站内工艺系统",
  1286. "第十册供暖器具安装", "第十册空调水工程管道安装", "第十册空调水工程管道附件", "第十一册 站内工艺系统" ],
  1287. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1288. df = pd.DataFrame(data)
  1289. return df.to_json(force_ascii=False)
  1290. def getDeXilie(value, id):
  1291. ##print(type(id))
  1292. if value == 10:
  1293. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1294. elif value == 20:
  1295. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1296. elif value == 30:
  1297. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1298. elif value == 40:
  1299. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1300. elif value == 50:
  1301. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1302. else:
  1303. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1304. hit = shu[shu["ID"]==int(id)]
  1305. ##print(hit)
  1306. if len(hit) == 0:
  1307. return []
  1308. hit0 = hit.iloc[0]
  1309. index = str(hit0['zjh'])
  1310. ##print("index=" + index)
  1311. if value == 10:
  1312. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1313. filtered = gj[gj["YSDELBH"]==int(index)]
  1314. elif value == 20:
  1315. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1316. filtered = gj[gj["YSDELBH"]==(index)]
  1317. elif value == 30:
  1318. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1319. filtered = gj[gj["YSDELBH"]==(index)]
  1320. elif value == 40:
  1321. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1322. filtered = gj[gj["YSDELBH"]==int(index)]
  1323. elif value == 50:
  1324. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1325. filtered = gj[gj["YSDELBH"]==int(index)]
  1326. else:
  1327. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1328. filtered = gj[gj["YSDELBH"]==int(index)]
  1329. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  1330. return filtered.to_json(force_ascii=False)
  1331. def getPbxl(name, zhuanye):
  1332. if name == "0":
  1333. if zhuanye == 10:
  1334. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1335. elif zhuanye == 20:
  1336. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1337. elif zhuanye == 30:
  1338. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1339. elif zhuanye == 40:
  1340. gj = pd.read_csv("de/yl/JD_PeiBi.csv")
  1341. elif zhuanye == 50:
  1342. gj = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1343. elif zhuanye == 60:
  1344. gj = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1345. return gj.to_json(force_ascii=False)
  1346. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1347. hit = shu[shu["ID"]==int(name)]
  1348. ##print(hit)
  1349. if len(hit) == 0:
  1350. return []
  1351. hit0 = hit.iloc[0]
  1352. index = str(hit0['pblbh'])
  1353. index_list = index.split(";")
  1354. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1355. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1356. return filtered.to_json(force_ascii=False)
  1357. def getJxxl(name, zhuanye):
  1358. if name == "0":
  1359. if zhuanye == 10:
  1360. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1361. elif zhuanye == 20:
  1362. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1363. elif zhuanye == 30:
  1364. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1365. elif zhuanye == 40:
  1366. gj = pd.read_csv("de/yl/JD_JiXieK.csv")
  1367. elif zhuanye == 50:
  1368. gj = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1369. elif zhuanye == 60:
  1370. gj = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1371. return gj.to_json(force_ascii=False)
  1372. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  1373. hit = shu[shu["ID"]==int(name)]
  1374. ##print(hit)
  1375. if len(hit) == 0:
  1376. return []
  1377. hit0 = hit.iloc[0]
  1378. index = str(hit0['jxlbh'])
  1379. index_list = index.split(";")
  1380. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1381. filtered = gj[gj["jxbh"].str.startswith(tuple(index_list))]
  1382. return filtered.to_json(force_ascii=False)
  1383. def getClxl(name, zhuanye):
  1384. if name == "0":
  1385. if zhuanye == 10:
  1386. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1387. elif zhuanye == 20:
  1388. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1389. elif zhuanye == 30:
  1390. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1391. elif zhuanye == 40:
  1392. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1393. elif zhuanye == 50:
  1394. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1395. elif zhuanye == 60:
  1396. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1397. return gj.to_json(force_ascii=False)
  1398. if zhuanye == 10:
  1399. shu = pd.read_csv("de/tj/JD_CaiLiaoFLB.csv")
  1400. if zhuanye == 20:
  1401. shu = pd.read_csv("de/sz/JD_CaiLiaoFLB.csv")
  1402. if zhuanye == 30:
  1403. shu = pd.read_csv("de/az/JD_CaiLiaoFLB.csv")
  1404. if zhuanye == 40:
  1405. shu = pd.read_csv("de/yl/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1406. if zhuanye == 50:
  1407. shu = pd.read_csv("de/xstj/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1408. if zhuanye == 60:
  1409. shu = pd.read_csv("de/xsaz/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1410. hit = shu[shu["ID"]==int(name)]
  1411. ##print(hit)
  1412. if len(hit) == 0:
  1413. return []
  1414. hit0 = hit.iloc[0]
  1415. index = str(hit0['cllbh'])
  1416. index_list = index.split(";")
  1417. if zhuanye == 10:
  1418. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1419. if zhuanye == 20:
  1420. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1421. if zhuanye == 30:
  1422. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1423. if zhuanye == 40:
  1424. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1425. if zhuanye == 50:
  1426. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1427. if zhuanye == 60:
  1428. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1429. ##print(index_list)
  1430. ##print(gj)
  1431. filtered = gj[gj["CLBH"].str.startswith(tuple(index_list))]
  1432. return filtered.to_json(force_ascii=False)
  1433. def getSingleDeXilie(zhuanye, debh):
  1434. if zhuanye == 10:
  1435. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1436. if A1:
  1437. return A1, A2, A3, A4, A5, A6, A7, 10
  1438. else:
  1439. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1440. return A1, A2, A3, A4,A5, A6, A7, 20
  1441. elif zhuanye == 20:##shizheng
  1442. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1443. if A1:
  1444. return A1, A2, A3, A4, A5, A6, A7, 20
  1445. else:
  1446. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1447. if A1:
  1448. return A1, A2, A3, A4, A5, A6, A7, 10
  1449. else:
  1450. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1451. return A1, A2, A3, A4, A5, A6, A7, 30
  1452. elif zhuanye == 30:##anzhuang
  1453. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1454. return A1, A2, A3, A4, A5, A6, A7, 30
  1455. elif zhuanye == 40:##yuanlin
  1456. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_yl(debh)
  1457. return A1, A2, A3, A4, A5, A6, A7, 40
  1458. elif zhuanye == 50: ## xiushan tujian
  1459. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xstj(debh)
  1460. if A1:
  1461. return A1, A2, A3, A4, A5, A6, A7, 50
  1462. else:
  1463. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1464. return A1, A2, A3, A4,A5, A6, A7, 10
  1465. else:
  1466. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xsaz(debh)
  1467. if A1:
  1468. return A1, A2, A3, A4, A5, A6, A7, 60
  1469. else:
  1470. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1471. return A1, A2, A3, A4,A5, A6, A7, 30
  1472. def getSingleDeXilie_xsaz(debh):
  1473. id = None
  1474. bz_selected = []
  1475. bz_selected2 = []
  1476. if "附注" in debh:
  1477. position = debh.find("附注")
  1478. debh = debh[:position]
  1479. if "*" in debh:
  1480. position = debh.find("*")
  1481. debh = debh[:position]
  1482. if debh.endswith("换"):
  1483. debh = debh[:-1]
  1484. if "[" in debh:
  1485. position = debh.find("[")
  1486. debh = debh[:position-1]
  1487. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1488. filtered = gj[gj["DEBH"]==debh]
  1489. ##print(filtered)
  1490. if len(filtered) > 0:
  1491. index = (filtered.iloc[0]["YSDELBH"])
  1492. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1493. hit = shu[shu["zjh"]==index]
  1494. if len(hit) > 0:
  1495. id = hit.iloc[0]["ID"]
  1496. beizhu = str(filtered.iloc[0]["BZBH"])
  1497. if 'nan' in beizhu:
  1498. pass
  1499. else:
  1500. beizhus = beizhu.split(";")
  1501. ##print(beizhus)
  1502. bzfile = pd.read_csv("de/xsaz/JD_BeiZhuZK.csv")
  1503. bzfile2 = pd.read_csv("de/xsaz/JD_BeiZhuFK.csv", dtype=str)
  1504. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1505. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1506. else:
  1507. return None, None, None, None, None, None, None
  1508. ####rengong
  1509. rgde = []
  1510. rg = pd.read_csv("de/xsaz/JD_GuJiaRG.csv")
  1511. filtered1 = rg[rg["DEBH"]==debh]
  1512. for i in range(len(filtered1)):
  1513. rgde_ = {}
  1514. gr = filtered1.iloc[i]["RGR"]##gongri
  1515. gf = filtered1.iloc[i]["RGF"]##gongfei
  1516. rcjID = filtered1.iloc[i]["RcjID"]
  1517. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1518. filtered2 = detail[detail["RcjID"]==rcjID]
  1519. if len(filtered2) > 0:
  1520. CLBH = filtered2.iloc[0]["CLBH"]
  1521. CLMC = filtered2.iloc[0]["CLMC"]
  1522. JLDW = filtered2.iloc[0]["JLDW"]
  1523. YSJG = filtered2.iloc[0]["YSJG"]
  1524. rgde_["CLBH"] = CLBH
  1525. rgde_["CLMC"] = CLMC
  1526. rgde_["JLDW"] = JLDW
  1527. rgde_["YSJG"] = YSJG.item()
  1528. rgde_["gr"] = gr.item()
  1529. rgde_["gf"] = gf.item()
  1530. rgde.append(rgde_)
  1531. ##print(rgde)
  1532. ####jixie
  1533. jxde = []
  1534. jx = pd.read_csv("de/xsaz/JD_GuJiaJX.csv")
  1535. filtered1 = jx[jx["DEBH"]==debh]
  1536. for i in range(len(filtered1)):
  1537. jxde_ = {}
  1538. sl = filtered1.iloc[i]["SL"]##shuliang
  1539. hj = filtered1.iloc[i]["HJ"]##hejia
  1540. rcjID = filtered1.iloc[i]["RcjID"]
  1541. detail = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1542. filtered2 = detail[detail["RcjID"]==rcjID]
  1543. if len(filtered2) > 0:
  1544. jxbh = filtered2.iloc[0]["jxbh"]
  1545. jxmc = filtered2.iloc[0]["jxmc"]
  1546. DW = filtered2.iloc[0]["DW"]
  1547. tbdj = filtered2.iloc[0]["tbdj"]
  1548. jxde_["jxbh"] = jxbh
  1549. jxde_["jxmc"] = jxmc
  1550. jxde_["DW"] = DW
  1551. jxde_["tbdj"] = tbdj.item()
  1552. jxde_["sl"] = sl.item()
  1553. jxde_["hj"] = hj.item()
  1554. jxde.append(jxde_)
  1555. ####cailiao
  1556. clde = []
  1557. cl = pd.read_csv("de/xsaz/JD_GuJiaCL.csv")
  1558. filtered1 = cl[cl["DEBH"]==debh]
  1559. for i in range(len(filtered1)):
  1560. clde_ = {}
  1561. SL = filtered1.iloc[i]["SL"]##shuliang
  1562. HJ = filtered1.iloc[i]["HJ"]##hejia
  1563. rcjID = filtered1.iloc[i]["RcjID"]
  1564. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1565. filtered2 = detail[detail["RcjID"]==rcjID]
  1566. detail_ = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1567. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1568. if len(filtered2) > 0 and len(filtered2_) == 0:
  1569. CLBH = filtered2.iloc[0]["CLBH"]
  1570. CLMC = filtered2.iloc[0]["CLMC"]
  1571. JLDW = filtered2.iloc[0]["JLDW"]
  1572. YSJG = filtered2.iloc[0]["YSJG"]
  1573. clde_["CLBH"] = CLBH
  1574. clde_["CLMC"] = CLMC
  1575. clde_["JLDW"] = JLDW
  1576. clde_["YSJG"] = YSJG.item()
  1577. clde_["SL"] = SL.item()
  1578. clde_["HJ"] = HJ.item()
  1579. clde.append(clde_)
  1580. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1581. CLBH = filtered2_.iloc[0]["PBBH"]
  1582. CLMC = filtered2_.iloc[0]["PBMC"]
  1583. JLDW = filtered2_.iloc[0]["DW"]
  1584. YSJG = filtered2_.iloc[0]["PBDJ"]
  1585. clde_["CLBH"] = CLBH.item()
  1586. clde_["CLMC"] = CLMC
  1587. clde_["JLDW"] = JLDW
  1588. clde_["YSJG"] = YSJG.item()
  1589. clde_["SL"] = SL.item()
  1590. clde_["HJ"] = HJ.item()
  1591. clde.append(clde_)
  1592. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1593. YSJG = filtered2.iloc[0]["YSJG"]
  1594. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1595. if float(HJ) < 0.00001:
  1596. if float(YSJG) < 0.00001:
  1597. CLBH = filtered2.iloc[0]["CLBH"]
  1598. CLMC = filtered2.iloc[0]["CLMC"]
  1599. JLDW = filtered2.iloc[0]["JLDW"]
  1600. YSJG = filtered2.iloc[0]["YSJG"]
  1601. clde_["CLBH"] = CLBH
  1602. clde_["CLMC"] = CLMC
  1603. clde_["JLDW"] = JLDW
  1604. clde_["YSJG"] = YSJG.item()
  1605. clde_["SL"] = SL.item()
  1606. clde_["HJ"] = HJ.item()
  1607. clde.append(clde_)
  1608. elif float(YSJG_) < 0.00001:
  1609. CLBH = filtered2_.iloc[0]["PBBH"]
  1610. CLMC = filtered2_.iloc[0]["PBMC"]
  1611. JLDW = filtered2_.iloc[0]["DW"]
  1612. YSJG = filtered2_.iloc[0]["PBDJ"]
  1613. clde_["CLBH"] = CLBH.item()
  1614. clde_["CLMC"] = CLMC
  1615. clde_["JLDW"] = JLDW
  1616. clde_["YSJG"] = YSJG.item()
  1617. clde_["SL"] = SL.item()
  1618. clde_["HJ"] = HJ.item()
  1619. clde.append(clde_)
  1620. else:
  1621. ratio = float(YSJG) / (float(HJ) / float(SL))
  1622. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1623. if abs(ratio - 1) < abs(ratio_ -1):
  1624. CLBH = filtered2.iloc[0]["CLBH"]
  1625. CLMC = filtered2.iloc[0]["CLMC"]
  1626. JLDW = filtered2.iloc[0]["JLDW"]
  1627. YSJG = filtered2.iloc[0]["YSJG"]
  1628. clde_["CLBH"] = CLBH
  1629. clde_["CLMC"] = CLMC
  1630. clde_["JLDW"] = JLDW
  1631. clde_["YSJG"] = YSJG.item()
  1632. clde_["SL"] = SL.item()
  1633. clde_["HJ"] = HJ.item()
  1634. clde.append(clde_)
  1635. else:
  1636. CLBH = filtered2_.iloc[0]["PBBH"]
  1637. CLMC = filtered2_.iloc[0]["PBMC"]
  1638. JLDW = filtered2_.iloc[0]["DW"]
  1639. YSJG = filtered2_.iloc[0]["PBDJ"]
  1640. clde_["CLBH"] = CLBH.item()
  1641. clde_["CLMC"] = CLMC
  1642. clde_["JLDW"] = JLDW
  1643. clde_["YSJG"] = YSJG.item()
  1644. clde_["SL"] = SL.item()
  1645. clde_["HJ"] = HJ.item()
  1646. clde.append(clde_)
  1647. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  1648. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  1649. def getSingleDeXilie_xstj(debh):
  1650. id = None
  1651. bz_selected = []
  1652. bz_selected2 = []
  1653. additional = []
  1654. if "附注" in debh:
  1655. position = debh.find("附注")
  1656. debh = debh[:position]
  1657. if "*" in debh:
  1658. position = debh.find("*")
  1659. debh = debh[:position]
  1660. if debh.endswith("换"):
  1661. debh = debh[:-1]
  1662. if "[" in debh:
  1663. position = debh.find("[")
  1664. debh = debh[:position-1]
  1665. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1666. filtered = gj[gj["DEBH"]==debh]
  1667. ##print(filtered)
  1668. if len(filtered) > 0:
  1669. index = (filtered.iloc[0]["YSDELBH"])
  1670. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1671. hit = shu[shu["zjh"]==index]
  1672. if len(hit) > 0:
  1673. id = hit.iloc[0]["ID"]
  1674. beizhu = str(filtered.iloc[0]["BZBH"])
  1675. if 'nan' in beizhu:
  1676. pass
  1677. else:
  1678. beizhus = beizhu.split(";")
  1679. ##print(beizhus)
  1680. bzfile = pd.read_csv("de/xstj/JD_BeiZhuZK.csv")
  1681. bzfile2 = pd.read_csv("de/xstj/JD_BeiZhuFK.csv", dtype=str)
  1682. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1683. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1684. bz_selected2 = bz_selected2.astype({'BH': str})
  1685. additional = bz_selected2['BH'].tolist()
  1686. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  1687. else:
  1688. return None, None, None, None, None, None, None
  1689. ####rengong
  1690. rgde = []
  1691. rg = pd.read_csv("de/xstj/JD_GuJiaRG.csv")
  1692. filtered1 = rg[rg["DEBH"]==debh]
  1693. for i in range(len(filtered1)):
  1694. rgde_ = {}
  1695. gr = filtered1.iloc[i]["RGR"]##gongri
  1696. gf = filtered1.iloc[i]["RGF"]##gongfei
  1697. rcjID = filtered1.iloc[i]["RcjID"]
  1698. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1699. filtered2 = detail[detail["RcjID"]==rcjID]
  1700. if len(filtered2) > 0:
  1701. CLBH = filtered2.iloc[0]["CLBH"]
  1702. CLMC = filtered2.iloc[0]["CLMC"]
  1703. JLDW = filtered2.iloc[0]["JLDW"]
  1704. YSJG = filtered2.iloc[0]["YSJG"]
  1705. rgde_["CLBH"] = CLBH
  1706. rgde_["CLMC"] = CLMC
  1707. rgde_["JLDW"] = JLDW
  1708. rgde_["YSJG"] = YSJG.item()
  1709. rgde_["gr"] = gr.item()
  1710. rgde_["gf"] = gf.item()
  1711. if CLBH in additional:
  1712. additional.remove(CLBH)
  1713. rgde.append(rgde_)
  1714. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1715. detail = detail[detail['RcjLb'].isin([1, '1'])]
  1716. added = detail[detail['CLBH'].isin(additional)]
  1717. for _, entry in added.iterrows():
  1718. rgde_ = {}
  1719. CLBH = entry["CLBH"]
  1720. CLMC = entry["CLMC"]
  1721. JLDW = entry["JLDW"]
  1722. YSJG = entry["YSJG"]
  1723. rgde_["CLBH"] = CLBH
  1724. rgde_["CLMC"] = CLMC
  1725. rgde_["JLDW"] = JLDW
  1726. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1727. rgde_["gr"] = 0
  1728. rgde_["gf"] = 0
  1729. rgde.append(rgde_)
  1730. ####jixie
  1731. jxde = []
  1732. jx = pd.read_csv("de/xstj/JD_GuJiaJX.csv")
  1733. filtered1 = jx[jx["DEBH"]==debh]
  1734. for i in range(len(filtered1)):
  1735. jxde_ = {}
  1736. sl = filtered1.iloc[i]["SL"]##shuliang
  1737. hj = filtered1.iloc[i]["HJ"]##hejia
  1738. rcjID = filtered1.iloc[i]["RcjID"]
  1739. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1740. filtered2 = detail[detail["RcjID"]==rcjID]
  1741. if len(filtered2) > 0:
  1742. jxbh = filtered2.iloc[0]["jxbh"]
  1743. jxmc = filtered2.iloc[0]["jxmc"]
  1744. DW = filtered2.iloc[0]["DW"]
  1745. tbdj = filtered2.iloc[0]["tbdj"]
  1746. jxde_["jxbh"] = jxbh
  1747. jxde_["jxmc"] = jxmc
  1748. jxde_["DW"] = DW
  1749. jxde_["tbdj"] = tbdj.item()
  1750. jxde_["sl"] = sl.item()
  1751. jxde_["hj"] = hj.item()
  1752. if jxbh in additional:
  1753. additional.remove(jxbh)
  1754. jxde.append(jxde_)
  1755. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1756. added = detail[detail['jxbh'].isin(additional)]
  1757. for _, entry in added.iterrows():
  1758. jxde_ = {}
  1759. jxbh = entry["jxbh"]
  1760. jxmc = entry["jxmc"]
  1761. DW = entry["DW"]
  1762. tbdj = entry["tbdj"]
  1763. jxde_["jxbh"] = jxbh
  1764. jxde_["jxmc"] = jxmc
  1765. jxde_["DW"] = DW
  1766. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1767. jxde_["sl"] = 0
  1768. jxde_["hj"] = 0
  1769. jxde.append(jxde_)
  1770. ####cailiao
  1771. clde = []
  1772. cl = pd.read_csv("de/xstj/JD_GuJiaCL.csv")
  1773. filtered1 = cl[cl["DEBH"]==debh]
  1774. for i in range(len(filtered1)):
  1775. clde_ = {}
  1776. SL = filtered1.iloc[i]["SL"]##shuliang
  1777. HJ = filtered1.iloc[i]["HJ"]##hejia
  1778. rcjID = filtered1.iloc[i]["RcjID"]
  1779. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1780. filtered2 = detail[detail["RcjID"]==rcjID]
  1781. detail_ = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1782. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1783. if len(filtered2) > 0 and len(filtered2_) == 0:
  1784. CLBH = filtered2.iloc[0]["CLBH"]
  1785. CLMC = filtered2.iloc[0]["CLMC"]
  1786. JLDW = filtered2.iloc[0]["JLDW"]
  1787. YSJG = filtered2.iloc[0]["YSJG"]
  1788. clde_["CLBH"] = CLBH
  1789. clde_["CLMC"] = CLMC
  1790. clde_["JLDW"] = JLDW
  1791. clde_["YSJG"] = YSJG.item()
  1792. clde_["SL"] = SL.item()
  1793. clde_["HJ"] = HJ.item()
  1794. clde.append(clde_)
  1795. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1796. CLBH = filtered2_.iloc[0]["PBBH"]
  1797. CLMC = filtered2_.iloc[0]["PBMC"]
  1798. JLDW = filtered2_.iloc[0]["DW"]
  1799. YSJG = filtered2_.iloc[0]["PBDJ"]
  1800. clde_["CLBH"] = CLBH.item()
  1801. clde_["CLMC"] = CLMC
  1802. clde_["JLDW"] = JLDW
  1803. clde_["YSJG"] = YSJG.item()
  1804. clde_["SL"] = SL.item()
  1805. clde_["HJ"] = HJ.item()
  1806. clde.append(clde_)
  1807. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1808. YSJG = filtered2.iloc[0]["YSJG"]
  1809. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1810. if float(HJ) < 0.00001:
  1811. if float(YSJG) < 0.00001:
  1812. CLBH = filtered2.iloc[0]["CLBH"]
  1813. CLMC = filtered2.iloc[0]["CLMC"]
  1814. JLDW = filtered2.iloc[0]["JLDW"]
  1815. YSJG = filtered2.iloc[0]["YSJG"]
  1816. clde_["CLBH"] = CLBH
  1817. clde_["CLMC"] = CLMC
  1818. clde_["JLDW"] = JLDW
  1819. clde_["YSJG"] = YSJG.item()
  1820. clde_["SL"] = SL.item()
  1821. clde_["HJ"] = HJ.item()
  1822. clde.append(clde_)
  1823. elif float(YSJG_) < 0.00001:
  1824. CLBH = filtered2_.iloc[0]["PBBH"]
  1825. CLMC = filtered2_.iloc[0]["PBMC"]
  1826. JLDW = filtered2_.iloc[0]["DW"]
  1827. YSJG = filtered2_.iloc[0]["PBDJ"]
  1828. clde_["CLBH"] = CLBH.item()
  1829. clde_["CLMC"] = CLMC
  1830. clde_["JLDW"] = JLDW
  1831. clde_["YSJG"] = YSJG.item()
  1832. clde_["SL"] = SL.item()
  1833. clde_["HJ"] = HJ.item()
  1834. clde.append(clde_)
  1835. else:
  1836. ratio = float(YSJG) / (float(HJ) / float(SL))
  1837. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1838. if abs(ratio - 1) < abs(ratio_ -1):
  1839. CLBH = filtered2.iloc[0]["CLBH"]
  1840. CLMC = filtered2.iloc[0]["CLMC"]
  1841. JLDW = filtered2.iloc[0]["JLDW"]
  1842. YSJG = filtered2.iloc[0]["YSJG"]
  1843. clde_["CLBH"] = CLBH
  1844. clde_["CLMC"] = CLMC
  1845. clde_["JLDW"] = JLDW
  1846. clde_["YSJG"] = YSJG.item()
  1847. clde_["SL"] = SL.item()
  1848. clde_["HJ"] = HJ.item()
  1849. clde.append(clde_)
  1850. else:
  1851. CLBH = filtered2_.iloc[0]["PBBH"]
  1852. CLMC = filtered2_.iloc[0]["PBMC"]
  1853. JLDW = filtered2_.iloc[0]["DW"]
  1854. YSJG = filtered2_.iloc[0]["PBDJ"]
  1855. clde_["CLBH"] = CLBH.item()
  1856. clde_["CLMC"] = CLMC
  1857. clde_["JLDW"] = JLDW
  1858. clde_["YSJG"] = YSJG.item()
  1859. clde_["SL"] = SL.item()
  1860. clde_["HJ"] = HJ.item()
  1861. clde.append(clde_)
  1862. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  1863. additional.remove(clde_['CLBH'])
  1864. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1865. detail = detail[detail['RcjLb'].isin([2, '2'])]
  1866. added = detail[detail['CLBH'].isin(additional)]
  1867. added = added.drop_duplicates(subset=['CLBH'])
  1868. for _, entry in added.iterrows():
  1869. clde_ = {}
  1870. CLBH = entry["CLBH"]
  1871. CLMC = entry["CLMC"]
  1872. JLDW = entry["JLDW"]
  1873. YSJG = entry["YSJG"]
  1874. clde_["CLBH"] = CLBH
  1875. clde_["CLMC"] = CLMC
  1876. clde_["JLDW"] = JLDW
  1877. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1878. clde_["SL"] = 0
  1879. clde_["HJ"] = 0
  1880. clde.append(clde_)
  1881. detail = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1882. added = detail[detail['PBBH'].isin(additional)]
  1883. for _, entry in added.iterrows():
  1884. clde_ = {}
  1885. CLBH = entry["PBBH"]
  1886. CLMC = entry["PBMC"]
  1887. JLDW = entry["DW"]
  1888. YSJG = entry["PBDJ"]
  1889. clde_["CLBH"] = CLBH
  1890. clde_["CLMC"] = CLMC
  1891. clde_["JLDW"] = JLDW
  1892. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1893. clde_["SL"] = 0
  1894. clde_["HJ"] = 0
  1895. clde.append(clde_)
  1896. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  1897. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  1898. def getSingleDeXilie_yl(debh):
  1899. id = None
  1900. bz_selected = []
  1901. bz_selected2 = []
  1902. additional = []
  1903. if "附注" in debh:
  1904. position = debh.find("附注")
  1905. debh = debh[:position]
  1906. if "*" in debh:
  1907. position = debh.find("*")
  1908. debh = debh[:position]
  1909. if debh.endswith("换"):
  1910. debh = debh[:-1]
  1911. if "[" in debh:
  1912. position = debh.find("[")
  1913. debh = debh[:position-1]
  1914. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1915. filtered = gj[gj["DEBH"]==debh]
  1916. ##print(filtered)
  1917. if len(filtered) > 0:
  1918. index = (filtered.iloc[0]["YSDELBH"])
  1919. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1920. hit = shu[shu["zjh"]==index]
  1921. if len(hit) > 0:
  1922. id = hit.iloc[0]["ID"]
  1923. beizhu = str(filtered.iloc[0]["BZBH"])
  1924. if 'nan' in beizhu:
  1925. pass
  1926. else:
  1927. beizhus = beizhu.split(";")
  1928. ##print(beizhus)
  1929. bzfile = pd.read_csv("de/yl/JD_BeiZhuZK.csv")
  1930. bzfile2 = pd.read_csv("de/yl/JD_BeiZhuFK.csv", dtype=str)
  1931. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1932. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1933. bz_selected2 = bz_selected2.astype({'BH': str})
  1934. additional = bz_selected2['BH'].tolist()
  1935. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  1936. else:
  1937. return None, None, None, None, None, None, None
  1938. ####rengong
  1939. rgde = []
  1940. rg = pd.read_csv("de/yl/JD_GuJiaRG.csv")
  1941. filtered1 = rg[rg["DEBH"]==debh]
  1942. for i in range(len(filtered1)):
  1943. rgde_ = {}
  1944. gr = filtered1.iloc[i]["RGR"]##gongri
  1945. gf = filtered1.iloc[i]["RGF"]##gongfei
  1946. rcjID = filtered1.iloc[i]["RcjID"]
  1947. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1948. filtered2 = detail[detail["RcjID"]==rcjID]
  1949. if len(filtered2) > 0:
  1950. CLBH = filtered2.iloc[0]["CLBH"]
  1951. CLMC = filtered2.iloc[0]["CLMC"]
  1952. JLDW = filtered2.iloc[0]["JLDW"]
  1953. YSJG = filtered2.iloc[0]["YSJG"]
  1954. rgde_["CLBH"] = CLBH
  1955. rgde_["CLMC"] = CLMC
  1956. rgde_["JLDW"] = JLDW
  1957. rgde_["YSJG"] = YSJG.item()
  1958. rgde_["gr"] = gr.item()
  1959. rgde_["gf"] = gf.item()
  1960. if CLBH in additional:
  1961. additional.remove(CLBH)
  1962. rgde.append(rgde_)
  1963. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1964. detail = detail[detail['RcjLb'].isin([1, '1'])]
  1965. added = detail[detail['CLBH'].isin(additional)]
  1966. for _, entry in added.iterrows():
  1967. rgde_ = {}
  1968. CLBH = entry["CLBH"]
  1969. CLMC = entry["CLMC"]
  1970. JLDW = entry["JLDW"]
  1971. YSJG = entry["YSJG"]
  1972. rgde_["CLBH"] = CLBH
  1973. rgde_["CLMC"] = CLMC
  1974. rgde_["JLDW"] = JLDW
  1975. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1976. rgde_["gr"] = 0
  1977. rgde_["gf"] = 0
  1978. rgde.append(rgde_)
  1979. ####jixie
  1980. jxde = []
  1981. jx = pd.read_csv("de/yl/JD_GuJiaJX.csv")
  1982. filtered1 = jx[jx["DEBH"]==debh]
  1983. for i in range(len(filtered1)):
  1984. jxde_ = {}
  1985. sl = filtered1.iloc[i]["SL"]##shuliang
  1986. hj = filtered1.iloc[i]["HJ"]##hejia
  1987. rcjID = filtered1.iloc[i]["RcjID"]
  1988. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1989. filtered2 = detail[detail["RcjID"]==rcjID]
  1990. if len(filtered2) > 0:
  1991. jxbh = filtered2.iloc[0]["jxbh"]
  1992. jxmc = filtered2.iloc[0]["jxmc"]
  1993. DW = filtered2.iloc[0]["DW"]
  1994. tbdj = filtered2.iloc[0]["tbdj"]
  1995. jxde_["jxbh"] = jxbh
  1996. jxde_["jxmc"] = jxmc
  1997. jxde_["DW"] = DW
  1998. jxde_["tbdj"] = tbdj.item()
  1999. jxde_["sl"] = sl.item()
  2000. jxde_["hj"] = hj.item()
  2001. if jxbh in additional:
  2002. additional.remove(jxbh)
  2003. jxde.append(jxde_)
  2004. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  2005. added = detail[detail['jxbh'].isin(additional)]
  2006. for _, entry in added.iterrows():
  2007. jxde_ = {}
  2008. jxbh = entry["jxbh"]
  2009. jxmc = entry["jxmc"]
  2010. DW = entry["DW"]
  2011. tbdj = entry["tbdj"]
  2012. jxde_["jxbh"] = jxbh
  2013. jxde_["jxmc"] = jxmc
  2014. jxde_["DW"] = DW
  2015. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2016. jxde_["sl"] = 0
  2017. jxde_["hj"] = 0
  2018. jxde.append(jxde_)
  2019. ####cailiao
  2020. clde = []
  2021. cl = pd.read_csv("de/yl/JD_GuJiaCL.csv")
  2022. filtered1 = cl[cl["DEBH"]==debh]
  2023. for i in range(len(filtered1)):
  2024. clde_ = {}
  2025. SL = filtered1.iloc[i]["SL"]##shuliang
  2026. HJ = filtered1.iloc[i]["HJ"]##hejia
  2027. rcjID = filtered1.iloc[i]["RcjID"]
  2028. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  2029. filtered2 = detail[detail["RcjID"]==rcjID]
  2030. if len(filtered2) > 0:
  2031. CLBH = filtered2.iloc[0]["CLBH"]
  2032. CLMC = filtered2.iloc[0]["CLMC"]
  2033. JLDW = filtered2.iloc[0]["JLDW"]
  2034. YSJG = filtered2.iloc[0]["YSJG"]
  2035. clde_["CLBH"] = CLBH
  2036. clde_["CLMC"] = CLMC
  2037. clde_["JLDW"] = JLDW
  2038. clde_["YSJG"] = YSJG.item()
  2039. clde_["SL"] = SL.item()
  2040. clde_["HJ"] = HJ.item()
  2041. clde.append(clde_)
  2042. else:
  2043. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  2044. filtered2 = detail[detail["RcjID"]==rcjID]
  2045. if len(filtered2) > 0:
  2046. CLBH = filtered2.iloc[0]["PBBH"]
  2047. CLMC = filtered2.iloc[0]["PBMC"]
  2048. JLDW = filtered2.iloc[0]["DW"]
  2049. YSJG = filtered2.iloc[0]["PBDJ"]
  2050. clde_["CLBH"] = CLBH.item()
  2051. clde_["CLMC"] = CLMC
  2052. clde_["JLDW"] = JLDW
  2053. clde_["YSJG"] = YSJG.item()
  2054. clde_["SL"] = SL.item()
  2055. clde_["HJ"] = HJ.item()
  2056. clde.append(clde_)
  2057. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2058. additional.remove(clde_['CLBH'])
  2059. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  2060. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2061. added = detail[detail['CLBH'].isin(additional)]
  2062. for _, entry in added.iterrows():
  2063. clde_ = {}
  2064. CLBH = entry["CLBH"]
  2065. CLMC = entry["CLMC"]
  2066. JLDW = entry["JLDW"]
  2067. YSJG = entry["YSJG"]
  2068. clde_["CLBH"] = CLBH
  2069. clde_["CLMC"] = CLMC
  2070. clde_["JLDW"] = JLDW
  2071. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2072. clde_["SL"] = 0
  2073. clde_["HJ"] = 0
  2074. clde.append(clde_)
  2075. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  2076. added = detail[detail['PBBH'].isin(additional)]
  2077. for _, entry in added.iterrows():
  2078. clde_ = {}
  2079. CLBH = entry["PBBH"]
  2080. CLMC = entry["PBMC"]
  2081. JLDW = entry["DW"]
  2082. YSJG = entry["PBDJ"]
  2083. clde_["CLBH"] = CLBH
  2084. clde_["CLMC"] = CLMC
  2085. clde_["JLDW"] = JLDW
  2086. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2087. clde_["SL"] = 0
  2088. clde_["HJ"] = 0
  2089. clde.append(clde_)
  2090. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  2091. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  2092. def getSingleDeXilie_az(debh):
  2093. id = None
  2094. bz_selected = []
  2095. bz_selected2 = []
  2096. additional = []
  2097. if "附注" in debh:
  2098. position = debh.find("附注")
  2099. debh = debh[:position]
  2100. if "*" in debh:
  2101. position = debh.find("*")
  2102. debh = debh[:position]
  2103. if debh.endswith("换"):
  2104. debh = debh[:-1]
  2105. if "[" in debh:
  2106. position = debh.find("[")
  2107. debh = debh[:position-1]
  2108. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  2109. filtered = gj[gj["DEBH"]==debh]
  2110. ##print(filtered)
  2111. if len(filtered) > 0:
  2112. index = (filtered.iloc[0]["YSDELBH"])
  2113. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  2114. hit = shu[shu["zjh"]==index]
  2115. if len(hit) > 0:
  2116. id = hit.iloc[0]["ID"]
  2117. beizhu = str(filtered.iloc[0]["BZBH"])
  2118. if 'nan' in beizhu:
  2119. pass
  2120. else:
  2121. beizhus = beizhu.split(";")
  2122. ##print(beizhus)
  2123. bzfile = pd.read_csv("de/az/JD_BeiZhuZK.csv")
  2124. bzfile2 = pd.read_csv("de/az/JD_BeiZhuFK.csv", dtype=str)
  2125. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2126. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2127. bz_selected2 = bz_selected2.astype({'BH': str})
  2128. additional = bz_selected2['BH'].tolist()
  2129. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2130. else:
  2131. return None, None, None, None, None, None, None
  2132. ####rengong
  2133. rgde = []
  2134. rg = pd.read_csv("de/az/JD_GuJiaRG.csv")
  2135. filtered1 = rg[rg["DEBH"]==debh]
  2136. for i in range(len(filtered1)):
  2137. rgde_ = {}
  2138. gr = filtered1.iloc[i]["RGR"]##gongri
  2139. gf = filtered1.iloc[i]["RGF"]##gongfei
  2140. rcjID = filtered1.iloc[i]["RcjID"]
  2141. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2142. filtered2 = detail[detail["RcjID"]==rcjID]
  2143. if len(filtered2) > 0:
  2144. CLBH = filtered2.iloc[0]["CLBH"]
  2145. CLMC = filtered2.iloc[0]["CLMC"]
  2146. JLDW = filtered2.iloc[0]["JLDW"]
  2147. YSJG = filtered2.iloc[0]["YSJG"]
  2148. rgde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2149. rgde_["CLMC"] = CLMC
  2150. rgde_["JLDW"] = JLDW
  2151. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2152. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2153. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2154. if CLBH in additional:
  2155. additional.remove(CLBH)
  2156. rgde.append(rgde_)
  2157. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2158. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2159. added = detail[detail['CLBH'].isin(additional)]
  2160. for _, entry in added.iterrows():
  2161. rgde_ = {}
  2162. CLBH = entry["CLBH"]
  2163. CLMC = entry["CLMC"]
  2164. JLDW = entry["JLDW"]
  2165. YSJG = entry["YSJG"]
  2166. rgde_["CLBH"] = CLBH
  2167. rgde_["CLMC"] = CLMC
  2168. rgde_["JLDW"] = JLDW
  2169. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2170. rgde_["gr"] = 0
  2171. rgde_["gf"] = 0
  2172. rgde.append(rgde_)
  2173. ####jixie
  2174. jxde = []
  2175. jx = pd.read_csv("de/az/JD_GuJiaJX.csv")
  2176. filtered1 = jx[jx["DEBH"]==debh]
  2177. for i in range(len(filtered1)):
  2178. jxde_ = {}
  2179. sl = filtered1.iloc[i]["SL"]##shuliang
  2180. hj = filtered1.iloc[i]["HJ"]##hejia
  2181. rcjID = filtered1.iloc[i]["RcjID"]
  2182. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  2183. filtered2 = detail[detail["RcjID"]==rcjID]
  2184. if len(filtered2) > 0:
  2185. jxbh = filtered2.iloc[0]["jxbh"]
  2186. jxmc = filtered2.iloc[0]["jxmc"]
  2187. DW = filtered2.iloc[0]["DW"]
  2188. tbdj = filtered2.iloc[0]["tbdj"]
  2189. jxde_["jxbh"] = jxbh
  2190. jxde_["jxmc"] = jxmc
  2191. jxde_["DW"] = DW
  2192. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2193. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2194. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2195. if jxbh in additional:
  2196. additional.remove(jxbh)
  2197. jxde.append(jxde_)
  2198. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  2199. added = detail[detail['jxbh'].isin(additional)]
  2200. for _, entry in added.iterrows():
  2201. jxde_ = {}
  2202. jxbh = entry["jxbh"]
  2203. jxmc = entry["jxmc"]
  2204. DW = entry["DW"]
  2205. tbdj = entry["tbdj"]
  2206. jxde_["jxbh"] = jxbh
  2207. jxde_["jxmc"] = jxmc
  2208. jxde_["DW"] = DW
  2209. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2210. jxde_["sl"] = 0
  2211. jxde_["hj"] = 0
  2212. jxde.append(jxde_)
  2213. ####cailiao
  2214. clde = []
  2215. cl = pd.read_csv("de/az/JD_GuJiaCL.csv")
  2216. filtered1 = cl[cl["DEBH"]==debh]
  2217. for i in range(len(filtered1)):
  2218. clde_ = {}
  2219. SL = filtered1.iloc[i]["SL"]##shuliang
  2220. HJ = filtered1.iloc[i]["HJ"]##hejia
  2221. rcjID = filtered1.iloc[i]["RcjID"]
  2222. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2223. filtered2 = detail[detail["RcjID"]==rcjID]
  2224. if len(filtered2) > 0:
  2225. CLBH = filtered2.iloc[0]["CLBH"]
  2226. CLMC = filtered2.iloc[0]["CLMC"]
  2227. JLDW = filtered2.iloc[0]["JLDW"]
  2228. YSJG = filtered2.iloc[0]["YSJG"]
  2229. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2230. clde_["CLMC"] = CLMC
  2231. clde_["JLDW"] = JLDW
  2232. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2233. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2234. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2235. clde.append(clde_)
  2236. else:
  2237. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  2238. filtered2 = detail[detail["RcjID"]==rcjID]
  2239. if len(filtered2) > 0:
  2240. CLBH = filtered2.iloc[0]["PBBH"]
  2241. CLMC = filtered2.iloc[0]["PBMC"]
  2242. JLDW = filtered2.iloc[0]["DW"]
  2243. YSJG = filtered2.iloc[0]["PBDJ"]
  2244. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2245. clde_["CLMC"] = CLMC
  2246. clde_["JLDW"] = JLDW
  2247. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2248. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2249. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2250. clde.append(clde_)
  2251. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2252. additional.remove(clde_['CLBH'])
  2253. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2254. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2255. added = detail[detail['CLBH'].isin(additional)]
  2256. added = added.drop_duplicates(subset=['CLBH'])
  2257. for _, entry in added.iterrows():
  2258. clde_ = {}
  2259. CLBH = entry["CLBH"]
  2260. CLMC = entry["CLMC"]
  2261. JLDW = entry["JLDW"]
  2262. YSJG = entry["YSJG"]
  2263. clde_["CLBH"] = CLBH
  2264. clde_["CLMC"] = CLMC
  2265. clde_["JLDW"] = JLDW
  2266. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2267. clde_["SL"] = 0
  2268. clde_["HJ"] = 0
  2269. clde.append(clde_)
  2270. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  2271. added = detail[detail['PBBH'].isin(additional)]
  2272. for _, entry in added.iterrows():
  2273. clde_ = {}
  2274. CLBH = entry["PBBH"]
  2275. CLMC = entry["PBMC"]
  2276. JLDW = entry["DW"]
  2277. YSJG = entry["PBDJ"]
  2278. clde_["CLBH"] = CLBH
  2279. clde_["CLMC"] = CLMC
  2280. clde_["JLDW"] = JLDW
  2281. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2282. clde_["SL"] = 0
  2283. clde_["HJ"] = 0
  2284. clde.append(clde_)
  2285. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  2286. ##print(filtered)
  2287. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  2288. def getSingleDeXilie_sz(debh):
  2289. id = None
  2290. bz_selected = []
  2291. bz_selected2 = []
  2292. additional = []
  2293. if "附注" in debh:
  2294. position = debh.find("附注")
  2295. debh = debh[:position]
  2296. if "*" in debh:
  2297. position = debh.find("*")
  2298. debh = debh[:position]
  2299. if debh.endswith("换"):
  2300. debh = debh[:-1]
  2301. if "[" in debh:
  2302. position = debh.find("[")
  2303. debh = debh[:position-1]
  2304. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  2305. filtered = gj[gj["DEBH"]==debh]
  2306. ##print(filtered)
  2307. if len(filtered) > 0:
  2308. index = (filtered.iloc[0]["YSDELBH"])
  2309. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  2310. hit = shu[shu["zjh"]==index]
  2311. if len(hit) > 0:
  2312. id = hit.iloc[0]["ID"]
  2313. beizhu = str(filtered.iloc[0]["BZBH"])
  2314. if 'nan' in beizhu:
  2315. pass
  2316. else:
  2317. beizhus = beizhu.split(";")
  2318. ##print(beizhus)
  2319. bzfile = pd.read_csv("de/sz/JD_BeiZhuZK.csv")
  2320. bzfile2 = pd.read_csv("de/sz/JD_BeiZhuFK.csv", dtype=str)
  2321. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2322. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2323. bz_selected2 = bz_selected2.astype({'BH': str})
  2324. additional = bz_selected2['BH'].tolist()
  2325. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2326. else:
  2327. return None, None, None, None, None, None, None
  2328. ####rengong
  2329. rgde = []
  2330. rg = pd.read_csv("de/sz/JD_GuJiaRG.csv")
  2331. filtered1 = rg[rg["DEBH"]==debh]
  2332. for i in range(len(filtered1)):
  2333. rgde_ = {}
  2334. gr = filtered1.iloc[i]["RGR"]##gongri
  2335. gf = filtered1.iloc[i]["RGF"]##gongfei
  2336. rcjID = filtered1.iloc[i]["RcjID"]
  2337. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2338. filtered2 = detail[detail["RcjID"]==rcjID]
  2339. if len(filtered2) > 0:
  2340. CLBH = filtered2.iloc[0]["CLBH"]
  2341. CLMC = filtered2.iloc[0]["CLMC"]
  2342. JLDW = filtered2.iloc[0]["JLDW"]
  2343. YSJG = filtered2.iloc[0]["YSJG"]
  2344. rgde_["CLBH"] = CLBH
  2345. rgde_["CLMC"] = CLMC
  2346. rgde_["JLDW"] = JLDW
  2347. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2348. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2349. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2350. if CLBH in additional:
  2351. additional.remove(CLBH)
  2352. rgde.append(rgde_)
  2353. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2354. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2355. added = detail[detail['CLBH'].isin(additional)]
  2356. for _, entry in added.iterrows():
  2357. rgde_ = {}
  2358. CLBH = entry["CLBH"]
  2359. CLMC = entry["CLMC"]
  2360. JLDW = entry["JLDW"]
  2361. YSJG = entry["YSJG"]
  2362. rgde_["CLBH"] = CLBH
  2363. rgde_["CLMC"] = CLMC
  2364. rgde_["JLDW"] = JLDW
  2365. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2366. rgde_["gr"] = 0
  2367. rgde_["gf"] = 0
  2368. rgde.append(rgde_)
  2369. ####jixie
  2370. jxde = []
  2371. jx = pd.read_csv("de/sz/JD_GuJiaJX.csv")
  2372. filtered1 = jx[jx["DEBH"]==debh]
  2373. for i in range(len(filtered1)):
  2374. jxde_ = {}
  2375. sl = filtered1.iloc[i]["SL"]##shuliang
  2376. hj = filtered1.iloc[i]["HJ"]##hejia
  2377. rcjID = filtered1.iloc[i]["RcjID"]
  2378. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  2379. filtered2 = detail[detail["RcjID"]==rcjID]
  2380. if len(filtered2) > 0:
  2381. jxbh = filtered2.iloc[0]["jxbh"]
  2382. jxmc = filtered2.iloc[0]["jxmc"]
  2383. DW = filtered2.iloc[0]["DW"]
  2384. tbdj = filtered2.iloc[0]["tbdj"]
  2385. jxde_["jxbh"] = jxbh
  2386. jxde_["jxmc"] = jxmc
  2387. jxde_["DW"] = DW
  2388. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2389. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2390. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2391. if jxbh in additional:
  2392. additional.remove(jxbh)
  2393. jxde.append(jxde_)
  2394. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  2395. added = detail[detail['jxbh'].isin(additional)]
  2396. for _, entry in added.iterrows():
  2397. jxde_ = {}
  2398. jxbh = entry["jxbh"]
  2399. jxmc = entry["jxmc"]
  2400. DW = entry["DW"]
  2401. tbdj = entry["tbdj"]
  2402. jxde_["jxbh"] = jxbh
  2403. jxde_["jxmc"] = jxmc
  2404. jxde_["DW"] = DW
  2405. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2406. jxde_["sl"] = 0
  2407. jxde_["hj"] = 0
  2408. jxde.append(jxde_)
  2409. ####cailiao
  2410. clde = []
  2411. cl = pd.read_csv("de/sz/JD_GuJiaCL.csv")
  2412. filtered1 = cl[cl["DEBH"]==debh]
  2413. for i in range(len(filtered1)):
  2414. clde_ = {}
  2415. SL = filtered1.iloc[i]["SL"]##shuliang
  2416. HJ = filtered1.iloc[i]["HJ"]##hejia
  2417. rcjID = filtered1.iloc[i]["RcjID"]
  2418. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2419. filtered2 = detail[detail["RcjID"]==rcjID]
  2420. detail_ = pd.read_csv("de/sz/JD_PeiBi.csv")
  2421. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2422. if len(filtered2) > 0 and len(filtered2_) == 0:
  2423. CLBH = filtered2.iloc[0]["CLBH"]
  2424. CLMC = filtered2.iloc[0]["CLMC"]
  2425. JLDW = filtered2.iloc[0]["JLDW"]
  2426. YSJG = filtered2.iloc[0]["YSJG"]
  2427. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2428. clde_["CLMC"] = CLMC
  2429. clde_["JLDW"] = JLDW
  2430. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2431. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2432. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2433. clde.append(clde_)
  2434. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2435. CLBH = filtered2_.iloc[0]["PBBH"]
  2436. CLMC = filtered2_.iloc[0]["PBMC"]
  2437. JLDW = filtered2_.iloc[0]["DW"]
  2438. YSJG = filtered2_.iloc[0]["PBDJ"]
  2439. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2440. clde_["CLMC"] = CLMC
  2441. clde_["JLDW"] = JLDW
  2442. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2443. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2444. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2445. clde.append(clde_)
  2446. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2447. YSJG = filtered2.iloc[0]["YSJG"]
  2448. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2449. ##print(debh)
  2450. if float(HJ) < 0.00001:
  2451. if float(YSJG) < 0.00001:
  2452. CLBH = filtered2.iloc[0]["CLBH"]
  2453. CLMC = filtered2.iloc[0]["CLMC"]
  2454. JLDW = filtered2.iloc[0]["JLDW"]
  2455. YSJG = filtered2.iloc[0]["YSJG"]
  2456. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2457. clde_["CLMC"] = CLMC
  2458. clde_["JLDW"] = JLDW
  2459. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2460. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2461. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2462. clde.append(clde_)
  2463. elif float(YSJG_) < 0.00001:
  2464. CLBH = filtered2_.iloc[0]["PBBH"]
  2465. CLMC = filtered2_.iloc[0]["PBMC"]
  2466. JLDW = filtered2_.iloc[0]["DW"]
  2467. YSJG = filtered2_.iloc[0]["PBDJ"]
  2468. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2469. clde_["CLMC"] = CLMC
  2470. clde_["JLDW"] = JLDW
  2471. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2472. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2473. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2474. clde.append(clde_)
  2475. else:
  2476. ratio = float(YSJG) / (float(HJ) / float(SL))
  2477. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2478. if abs(ratio - 1) < abs(ratio_ - 1):
  2479. CLBH = filtered2.iloc[0]["CLBH"]
  2480. CLMC = filtered2.iloc[0]["CLMC"]
  2481. JLDW = filtered2.iloc[0]["JLDW"]
  2482. YSJG = filtered2.iloc[0]["YSJG"]
  2483. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2484. clde_["CLMC"] = CLMC
  2485. clde_["JLDW"] = JLDW
  2486. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2487. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2488. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2489. clde.append(clde_)
  2490. else:
  2491. CLBH = filtered2_.iloc[0]["PBBH"]
  2492. CLMC = filtered2_.iloc[0]["PBMC"]
  2493. JLDW = filtered2_.iloc[0]["DW"]
  2494. YSJG = filtered2_.iloc[0]["PBDJ"]
  2495. clde_["CLBH"] = str(CLBH.item()) if type(CLBH) == int64 else CLBH
  2496. clde_["CLMC"] = CLMC
  2497. clde_["JLDW"] = JLDW
  2498. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2499. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2500. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2501. clde.append(clde_)
  2502. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2503. additional.remove(clde_['CLBH'])
  2504. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2505. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2506. added = detail[detail['CLBH'].isin(additional)]
  2507. for _, entry in added.iterrows():
  2508. clde_ = {}
  2509. CLBH = entry["CLBH"]
  2510. CLMC = entry["CLMC"]
  2511. JLDW = entry["JLDW"]
  2512. YSJG = entry["YSJG"]
  2513. clde_["CLBH"] = CLBH
  2514. clde_["CLMC"] = CLMC
  2515. clde_["JLDW"] = JLDW
  2516. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2517. clde_["SL"] = 0
  2518. clde_["HJ"] = 0
  2519. clde.append(clde_)
  2520. detail = pd.read_csv("de/sz/JD_PeiBi.csv")
  2521. added = detail[detail['PBBH'].isin(additional)]
  2522. for _, entry in added.iterrows():
  2523. clde_ = {}
  2524. CLBH = entry["PBBH"]
  2525. CLMC = entry["PBMC"]
  2526. JLDW = entry["DW"]
  2527. YSJG = entry["PBDJ"]
  2528. clde_["CLBH"] = CLBH
  2529. clde_["CLMC"] = CLMC
  2530. clde_["JLDW"] = JLDW
  2531. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2532. clde_["SL"] = 0
  2533. clde_["HJ"] = 0
  2534. clde.append(clde_)
  2535. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  2536. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  2537. def getSingleDeXilie_tj(debh):
  2538. id = None
  2539. bz_selected = []
  2540. bz_selected2 = []
  2541. additional = []
  2542. if "附注" in debh:
  2543. position = debh.find("附注")
  2544. debh = debh[:position]
  2545. if "*" in debh:
  2546. position = debh.find("*")
  2547. debh = debh[:position]
  2548. if debh.endswith("换"):
  2549. debh = debh[:-1]
  2550. if "[" in debh:
  2551. position = debh.find("[")
  2552. debh = debh[:position-1]
  2553. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  2554. filtered = gj[gj["DEBH"]==debh]
  2555. ##print(filtered)
  2556. if len(filtered) > 0:
  2557. index = int(filtered.iloc[0]["YSDELBH"])
  2558. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  2559. hit = shu[shu["zjh"]==index]
  2560. if len(hit) > 0:
  2561. id = hit.iloc[0]["ID"]
  2562. beizhu = str(filtered.iloc[0]["BZBH"])
  2563. if 'nan' in beizhu:
  2564. pass
  2565. else:
  2566. beizhus = beizhu.split(";")
  2567. ##print(beizhus)
  2568. bzfile = pd.read_csv("de/tj/JD_BeiZhuZK.csv")
  2569. bzfile2 = pd.read_csv("de/tj/JD_BeiZhuFK.csv", dtype=str)
  2570. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2571. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2572. bz_selected2 = bz_selected2.astype({'BH': str})
  2573. additional = bz_selected2['BH'].tolist()
  2574. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2575. else:
  2576. return None, None, None, None, None, None, None
  2577. ####rengong
  2578. rgde = []
  2579. rg = pd.read_csv("de/tj/JD_GuJiaRG.csv")
  2580. filtered1 = rg[rg["DEBH"]==debh]
  2581. for i in range(len(filtered1)):
  2582. rgde_ = {}
  2583. gr = filtered1.iloc[i]["RGR"]##gongri
  2584. gf = filtered1.iloc[i]["RGF"]##gongfei
  2585. rcjID = filtered1.iloc[i]["RcjID"]
  2586. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2587. filtered2 = detail[detail["RcjID"]==rcjID]
  2588. if len(filtered2) > 0:
  2589. CLBH = filtered2.iloc[0]["CLBH"]
  2590. CLMC = filtered2.iloc[0]["CLMC"]
  2591. JLDW = filtered2.iloc[0]["JLDW"]
  2592. YSJG = filtered2.iloc[0]["YSJG"]
  2593. rgde_["CLBH"] = CLBH
  2594. rgde_["CLMC"] = CLMC
  2595. rgde_["JLDW"] = JLDW
  2596. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2597. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2598. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2599. if CLBH in additional:
  2600. additional.remove(CLBH)
  2601. rgde.append(rgde_)
  2602. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2603. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2604. added = detail[detail['CLBH'].isin(additional)]
  2605. for _, entry in added.iterrows():
  2606. rgde_ = {}
  2607. CLBH = entry["CLBH"]
  2608. CLMC = entry["CLMC"]
  2609. JLDW = entry["JLDW"]
  2610. YSJG = entry["YSJG"]
  2611. rgde_["CLBH"] = CLBH
  2612. rgde_["CLMC"] = CLMC
  2613. rgde_["JLDW"] = JLDW
  2614. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2615. rgde_["gr"] = 0
  2616. rgde_["gf"] = 0
  2617. rgde.append(rgde_)
  2618. ####jixie
  2619. jxde = []
  2620. jx = pd.read_csv("de/tj/JD_GuJiaJX.csv")
  2621. filtered1 = jx[jx["DEBH"]==debh]
  2622. for i in range(len(filtered1)):
  2623. jxde_ = {}
  2624. sl = filtered1.iloc[i]["SL"]##shuliang
  2625. hj = filtered1.iloc[i]["HJ"]##hejia
  2626. rcjID = filtered1.iloc[i]["RcjID"]
  2627. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  2628. filtered2 = detail[detail["RcjID"]==rcjID]
  2629. if len(filtered2) > 0:
  2630. jxbh = filtered2.iloc[0]["jxbh"]
  2631. jxmc = filtered2.iloc[0]["jxmc"]
  2632. DW = filtered2.iloc[0]["DW"]
  2633. tbdj = filtered2.iloc[0]["tbdj"]
  2634. jxde_["jxbh"] = jxbh
  2635. jxde_["jxmc"] = jxmc
  2636. jxde_["DW"] = DW
  2637. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2638. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2639. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2640. if jxbh in additional:
  2641. additional.remove(jxbh)
  2642. jxde.append(jxde_)
  2643. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  2644. added = detail[detail['jxbh'].isin(additional)]
  2645. for _, entry in added.iterrows():
  2646. jxde_ = {}
  2647. jxbh = entry["jxbh"]
  2648. jxmc = entry["jxmc"]
  2649. DW = entry["DW"]
  2650. tbdj = entry["tbdj"]
  2651. jxde_["jxbh"] = jxbh
  2652. jxde_["jxmc"] = jxmc
  2653. jxde_["DW"] = DW
  2654. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2655. jxde_["sl"] = 0
  2656. jxde_["hj"] = 0
  2657. jxde.append(jxde_)
  2658. clde = []
  2659. cl = pd.read_csv("de/tj/JD_GuJiaCL.csv")
  2660. filtered1 = cl[cl["DEBH"]==debh]
  2661. for i in range(len(filtered1)):
  2662. clde_ = {}
  2663. SL = filtered1.iloc[i]["SL"]##shuliang
  2664. HJ = filtered1.iloc[i]["HJ"]##hejia
  2665. rcjID = filtered1.iloc[i]["RcjID"]
  2666. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2667. filtered2 = detail[detail["RcjID"]==rcjID]
  2668. detail_ = pd.read_csv("de/tj/JD_PeiBi.csv")
  2669. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2670. if len(filtered2) > 0 and len(filtered2_) == 0:
  2671. CLBH = filtered2.iloc[0]["CLBH"]
  2672. CLMC = filtered2.iloc[0]["CLMC"]
  2673. JLDW = filtered2.iloc[0]["JLDW"]
  2674. YSJG = filtered2.iloc[0]["YSJG"]
  2675. clde_["CLBH"] = CLBH
  2676. clde_["CLMC"] = CLMC
  2677. clde_["JLDW"] = JLDW
  2678. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2679. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2680. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2681. clde.append(clde_)
  2682. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2683. CLBH = filtered2_.iloc[0]["PBBH"]
  2684. CLMC = filtered2_.iloc[0]["PBMC"]
  2685. JLDW = filtered2_.iloc[0]["DW"]
  2686. YSJG = filtered2_.iloc[0]["PBDJ"]
  2687. clde_["CLBH"] = CLBH
  2688. clde_["CLMC"] = CLMC
  2689. clde_["JLDW"] = JLDW
  2690. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2691. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2692. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2693. clde.append(clde_)
  2694. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2695. YSJG = filtered2.iloc[0]["YSJG"]
  2696. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2697. if float(HJ) < 0.00001:
  2698. if float(YSJG) < 0.00001:
  2699. CLBH = filtered2.iloc[0]["CLBH"]
  2700. CLMC = filtered2.iloc[0]["CLMC"]
  2701. JLDW = filtered2.iloc[0]["JLDW"]
  2702. YSJG = filtered2.iloc[0]["YSJG"]
  2703. clde_["CLBH"] = CLBH
  2704. clde_["CLMC"] = CLMC
  2705. clde_["JLDW"] = JLDW
  2706. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2707. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2708. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2709. clde.append(clde_)
  2710. elif float(YSJG_) < 0.00001:
  2711. CLBH = filtered2_.iloc[0]["PBBH"]
  2712. CLMC = filtered2_.iloc[0]["PBMC"]
  2713. JLDW = filtered2_.iloc[0]["DW"]
  2714. YSJG = filtered2_.iloc[0]["PBDJ"]
  2715. clde_["CLBH"] = CLBH
  2716. clde_["CLMC"] = CLMC
  2717. clde_["JLDW"] = JLDW
  2718. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2719. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2720. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2721. clde.append(clde_)
  2722. else:
  2723. ratio = float(YSJG) / (float(HJ) / float(SL))
  2724. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2725. if abs(ratio - 1) < abs(ratio_ - 1):
  2726. CLBH = filtered2.iloc[0]["CLBH"]
  2727. CLMC = filtered2.iloc[0]["CLMC"]
  2728. JLDW = filtered2.iloc[0]["JLDW"]
  2729. YSJG = filtered2.iloc[0]["YSJG"]
  2730. clde_["CLBH"] = CLBH
  2731. clde_["CLMC"] = CLMC
  2732. clde_["JLDW"] = JLDW
  2733. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2734. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2735. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2736. clde.append(clde_)
  2737. else:
  2738. CLBH = filtered2_.iloc[0]["PBBH"]
  2739. CLMC = filtered2_.iloc[0]["PBMC"]
  2740. JLDW = filtered2_.iloc[0]["DW"]
  2741. YSJG = filtered2_.iloc[0]["PBDJ"]
  2742. clde_["CLBH"] = CLBH
  2743. clde_["CLMC"] = CLMC
  2744. clde_["JLDW"] = JLDW
  2745. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2746. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2747. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2748. clde.append(clde_)
  2749. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2750. additional.remove(clde_['CLBH'])
  2751. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2752. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2753. added = detail[detail['CLBH'].isin(additional)]
  2754. added = added.drop_duplicates(subset=['CLBH'])
  2755. for _, entry in added.iterrows():
  2756. clde_ = {}
  2757. CLBH = entry["CLBH"]
  2758. CLMC = entry["CLMC"]
  2759. JLDW = entry["JLDW"]
  2760. YSJG = entry["YSJG"]
  2761. clde_["CLBH"] = CLBH
  2762. clde_["CLMC"] = CLMC
  2763. clde_["JLDW"] = JLDW
  2764. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2765. clde_["SL"] = 0
  2766. clde_["HJ"] = 0
  2767. clde.append(clde_)
  2768. detail = pd.read_csv("de/tj/JD_PeiBi.csv")
  2769. added = detail[detail['PBBH'].isin(additional)]
  2770. for _, entry in added.iterrows():
  2771. clde_ = {}
  2772. CLBH = entry["PBBH"]
  2773. CLMC = entry["PBMC"]
  2774. JLDW = entry["DW"]
  2775. YSJG = entry["PBDJ"]
  2776. clde_["CLBH"] = CLBH
  2777. clde_["CLMC"] = CLMC
  2778. clde_["JLDW"] = JLDW
  2779. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2780. clde_["SL"] = 0
  2781. clde_["HJ"] = 0
  2782. clde.append(clde_)
  2783. filtered = filtered.drop(['BH1', 'BH2', "GCLCLF", "GCLCLF1", "GCLGG", "GCLGLF", "GCLJJ", "GCLJXF", "GCLLR", "GCLRGF", "GCLRGR", "GCLSJDJ", "GCPBHJ", "GLFFL", "LRFL", "PBBH", "PBBHM", "PBDJ", "PBSL", "THMC", "THSL", "dejb", "is_lock", "mcxz", "qfbz", "sptfl"], axis=1)
  2784. return filtered.to_json(force_ascii=False), id, rgde, jxde, clde, bz_selected.to_json(force_ascii=False) if len(bz_selected) > 0 else None, bz_selected2.to_json(force_ascii=False) if len(bz_selected2) > 0 else None
  2785. def getDwgc(root, id, Zylb):
  2786. result = []
  2787. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2788. item = None
  2789. for child in root:
  2790. if child.tag == "Dxgcxx":
  2791. for child1 in child:
  2792. Dwgcbh = child1.attrib["Dwgcbh"]
  2793. if Dwgcbh == id:
  2794. item = child1
  2795. break
  2796. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2797. id = id + "Zylb" + Zylb
  2798. for child in item:
  2799. if child.tag == "Fywj":
  2800. result.append({"id": id + "bao jia hui zong", "label": "报价汇总表"})
  2801. elif child.tag == "Gfsj":
  2802. result.append({"id": id + "gui fei shui jin", "label": "规费税金"})
  2803. elif child.tag == "Qdxm":
  2804. result.append({"id": id + "qing dan xiang mu", "label": "清单项目"})
  2805. elif child.tag == "Csxm":
  2806. result.append({"id": id + "cuo shi xiang mu", "label": "措施项目"})
  2807. elif child.tag == "Qtxm":
  2808. result.append({"id": id +"qi ta xiang mu", "label": "其他项目"})
  2809. elif child.tag == "Zlje":
  2810. result.append({"id": id +"zan lie jin e", "label": "暂列金额"})
  2811. elif child.tag == "Clzg":
  2812. result.append({"id": id +"cai liao zan gu jia", "label": "材料暂估价"})
  2813. elif child.tag == "Zygczg":
  2814. result.append({"id": id + "zhuan ye gong cheng zan gu jia", "label": "专业工程暂估价"})
  2815. elif child.tag == "Jrg":
  2816. result.append({"id": id + "ji ri gong", "label": "计日工"})
  2817. elif child.tag == "Zcbfwf":
  2818. result.append({"id": id + "zong cheng bao fu wu fei", "label": "总承包服务费"})
  2819. elif child.tag == "Zjxmjdkzffj":
  2820. result.append({"id": id + "zong jia xiang mu jin du kuan zhi fu fen jie", "label": "总价项目进度款支付分解"})
  2821. elif child.tag == "Fbrgycl":
  2822. result.append({"id": id + "fa bao ren gong ying cai liao", "label": "发包人供应材料"})
  2823. elif child.tag == "Cbrgycl":
  2824. result.append({"id": id + "cheng bao ren gong ying cai liao", "label": "承包人供应材料"})
  2825. elif child.tag == "Rcjhz":
  2826. result.append({"id": id + "ren cai ji hui zong", "label": "人材机汇总"})
  2827. else:
  2828. print(child.tag)
  2829. print("WARNING####################################################################")
  2830. return result
  2831. def getDjcs(root, id):
  2832. result = []
  2833. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2834. item = None
  2835. for child in root:
  2836. if child.tag == "Dxgcxx":
  2837. for child1 in child:
  2838. Dwgcbh = child1.attrib["Dwgcbh"]
  2839. if Dwgcbh == id:
  2840. item = child1
  2841. break
  2842. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2843. Fywj = None
  2844. for child in item:
  2845. if child.tag == 'Csxm':
  2846. Fywj= child
  2847. break
  2848. Djcs_parent = None
  2849. for child in Fywj:
  2850. if child.tag == 'DjCs':
  2851. Djcs_parent = child
  2852. break
  2853. for child in Djcs_parent:
  2854. ##child is mx {
  2855. result.append({
  2856. "序号": child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  2857. "项目特征" : child.attrib["Xmtz"],
  2858. "计算规则" : child.attrib["Jsgz"], "单位" : child.attrib["Dw"], "数量" : child.attrib["Sl"],
  2859. "综合单价" : child.attrib["Zhdj"], "合价" : child.attrib["Zhhj"], "人工费" : child.attrib["Rgf"],
  2860. "主材费" : child.attrib["Zcf"],
  2861. "设备费" : child.attrib["Sbf"], "辅材费" : child.attrib["Fcf"], "材料费" : child.attrib["Clf"],
  2862. "机械费" : child.attrib["Jxf"], "管理费" : child.attrib["Glf"], "利润" : child.attrib["Lr"],
  2863. "暂估价" : child.attrib["Zgj"], "综合人工工日" : child.attrib["Zgr"] })
  2864. __children = []
  2865. zj_parent = None
  2866. for grandchild in child:
  2867. if grandchild.tag == "Csxdezj":
  2868. zj_parent = grandchild
  2869. if zj_parent:
  2870. for entry in zj_parent:
  2871. key = str(uuid.uuid4())
  2872. entry.set("key", key)
  2873. __children.append({
  2874. "key": key,
  2875. "序号": None, "清单编码": entry.attrib["Debm"], "名称" : entry.attrib["Mc"],
  2876. "项目特征" : None,
  2877. "计算规则" : None, "单位" : entry.attrib["Dw"], "数量" : entry.attrib["DwQdSl"],
  2878. "综合单价" : entry.attrib["Dj"], "合价" : entry.attrib["Hj"], "人工费" : entry.attrib["Rgf"],
  2879. "主材费" : entry.attrib["Zcf"],
  2880. "设备费" : entry.attrib["Sbf"], "辅材费" : entry.attrib["Fcf"], "材料费" : entry.attrib["Clf"],
  2881. "机械费" : entry.attrib["Jxf"], "管理费" : entry.attrib["Glf"], "利润" : entry.attrib["Lr"],
  2882. "暂估价" : None, "综合人工工日" : None })
  2883. if len(__children) > 0:
  2884. result[-1]["__children"] = __children
  2885. return result