service.py 96 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 zhuanye == 10:
  15. pbf = pd.read_csv("de/tj/JD_PeiBiF.csv")
  16. clk = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  17. elif zhuanye == 20:
  18. pbf = pd.read_csv("de/sz/JD_PeiBiF.csv")
  19. clk = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  20. elif zhuanye == 30:
  21. pbf = pd.read_csv("de/az/JD_PeiBiF.csv")
  22. clk = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  23. elif zhuanye == 40:
  24. pbf = pd.read_csv("de/yl/JD_PeiBiF.csv")
  25. clk = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  26. elif zhuanye == 50:
  27. pbf = pd.read_csv("de/xstj/JD_PeiBiF.csv")
  28. clk = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  29. else:
  30. pbf = pd.read_csv("de/xsaz/JD_PeiBiF.csv")
  31. clk = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  32. for entry in clde:
  33. filtered = pbf[pbf["PBBH"]==entry['CLBH']]
  34. if len(filtered) > 0:
  35. entry["children"] = []
  36. ids = filtered['RcjID'].tolist()
  37. cls = clk[clk['RcjID'].isin(ids)]
  38. joined = pd.merge(filtered, cls, on='RcjID')
  39. for row in joined.itertuples():
  40. CLBH = row.CLBH
  41. CLMC = row.CLMC
  42. JLDW = row.JLDW
  43. YSJG = row.YSJG
  44. SL = float(row.SL) * float(entry['SL'])
  45. HJ = float(row.HJ) * float(entry['SL'])
  46. entry['children'].append({'CLBH': CLBH,
  47. 'CLMC': CLMC,
  48. 'JLDW': JLDW,
  49. 'YSJG': YSJG,
  50. 'SL': SL,
  51. 'HJ': HJ
  52. })
  53. print(result)
  54. return result
  55. def getQingdanTuijian(bh, bt, bm):
  56. result = []
  57. try:
  58. all = pd.read_csv("QingDanAllInOne.csv")
  59. bm_ = int(bm) // 1000
  60. hit = all[all["qdbh"] == str(bm_)]
  61. for i in range(len(hit)):
  62. 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"]})
  63. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  64. finally:
  65. return result
  66. def getQdmx(root, bh, bt):
  67. result = []
  68. #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" ]]
  69. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  70. item = None
  71. for child in root:
  72. if child.tag == "Dxgcxx":
  73. for child1 in child:
  74. Dwgcbh = child1.attrib["Dwgcbh"]
  75. if Dwgcbh == bh:
  76. item = child1
  77. break
  78. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  79. Fywj = None
  80. for child in item:
  81. if child.tag == 'Qdxm':
  82. Fywj= child
  83. break
  84. container = None
  85. for child in Fywj:
  86. ##child is mx
  87. if child.tag == "QdBt":
  88. if child.attrib["Mc"] == bt:
  89. count = 0
  90. for grandchild in child:
  91. count = count + 1
  92. if count > 0:
  93. container = child
  94. break
  95. if container == None:
  96. container = Fywj
  97. for child in container:
  98. #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",
  99. # "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" ]]
  100. result.append({
  101. "操作" : "",
  102. "序号": child.attrib["Xh"], "清单编码" : child.attrib["Qdbm"], "名称" : child.attrib["Mc"],"项目特征" : child.attrib["Xmtz"],
  103. "计算规则" : child.attrib["Jsgz"],
  104. "单位" : child.attrib["Dw"],
  105. "数量": child.attrib["Sl"],
  106. "综合单价" : child.attrib["Zhdj"],
  107. "合价" : child.attrib["Zhhj"],
  108. "人工费": child.attrib["Rgf"],
  109. "主材费" : child.attrib["Zcf"],
  110. "设备费": child.attrib["Sbf"],
  111. "辅材费": child.attrib["Fcf"],
  112. "材料费" : child.attrib["Clf"],
  113. "机械费" : child.attrib["Jxf"],
  114. "管理费": child.attrib["Glf"],
  115. "利润": child.attrib["Lr"],
  116. "暂估价" : child.attrib["Zgj"],
  117. "综合人工工日" : child.attrib["Zgr"],
  118. "备注" : child.attrib["Bz"]}
  119. )
  120. for child_zj in child:
  121. if child_zj.tag == "Qdxdezj":
  122. for child_mx in child_zj:
  123. if child_mx.tag == "QdxdezjMx":
  124. key = str(uuid.uuid4())
  125. child_mx.set("key", key)
  126. print("set key")
  127. print(key)
  128. print(child_mx)
  129. parent = result[-1]
  130. if "__children" in parent:
  131. parent["__children"].append({
  132. "key": key,
  133. "操作" : "",
  134. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  135. "计算规则" : None,
  136. "单位" : child_mx.attrib["Dw"],
  137. "数量": child_mx.attrib["DwQdSl"],
  138. "综合单价" : child_mx.attrib["Dj"],
  139. "合价" : child_mx.attrib["Hj"],
  140. "人工费": child_mx.attrib["Rgf"],
  141. "主材费" : child_mx.attrib["Zcf"],
  142. "设备费": child_mx.attrib["Sbf"],
  143. "辅材费": child_mx.attrib["Fcf"],
  144. "材料费" : child_mx.attrib["Clf"],
  145. "机械费" : child_mx.attrib["Jxf"],
  146. "管理费": child_mx.attrib["Glf"],
  147. "利润": child_mx.attrib["Lr"],
  148. "暂估价" : None,
  149. "综合人工工日" : None,
  150. "备注" : None}
  151. )
  152. else:
  153. parent["__children"] = [{
  154. "key": key,
  155. "操作" : "",
  156. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  157. "计算规则" : None,
  158. "单位" : child_mx.attrib["Dw"],
  159. "数量": child_mx.attrib["DwQdSl"],
  160. "综合单价" : child_mx.attrib["Dj"],
  161. "合价" : child_mx.attrib["Hj"],
  162. "人工费": child_mx.attrib["Rgf"],
  163. "主材费" : child_mx.attrib["Zcf"],
  164. "设备费": child_mx.attrib["Sbf"],
  165. "辅材费": child_mx.attrib["Fcf"],
  166. "材料费" : child_mx.attrib["Clf"],
  167. "机械费" : child_mx.attrib["Jxf"],
  168. "管理费": child_mx.attrib["Glf"],
  169. "利润": child_mx.attrib["Lr"],
  170. "暂估价" : None,
  171. "综合人工工日" : None,
  172. "备注" : None}]
  173. return result
  174. def getQdmx_default(root, bh, bt):
  175. result = []
  176. #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" ]]
  177. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  178. item = None
  179. for child in root:
  180. if child.tag == "Dxgcxx":
  181. for child1 in child:
  182. Dwgcbh = child1.attrib["Dwgcbh"]
  183. if Dwgcbh == bh:
  184. item = child1
  185. break
  186. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  187. Fywj = None
  188. for child in item:
  189. if child.tag == 'Qdxm':
  190. Fywj= child
  191. break
  192. container = None
  193. for child in Fywj:
  194. ##child is mx
  195. if child.tag == "Qdmx":
  196. #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",
  197. # "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" ]]
  198. result.append({
  199. "操作" : "",
  200. "序号": child.attrib["Xh"], "清单编码" : child.attrib["Qdbm"], "名称" : child.attrib["Mc"],"项目特征" : child.attrib["Xmtz"],
  201. "计算规则" : child.attrib["Jsgz"],
  202. "单位" : child.attrib["Dw"],
  203. "数量": child.attrib["Sl"],
  204. "综合单价" : child.attrib["Zhdj"],
  205. "合价" : child.attrib["Zhhj"],
  206. "人工费": child.attrib["Rgf"],
  207. "主材费" : child.attrib["Zcf"],
  208. "设备费": child.attrib["Sbf"],
  209. "辅材费": child.attrib["Fcf"],
  210. "材料费" : child.attrib["Clf"],
  211. "机械费" : child.attrib["Jxf"],
  212. "管理费": child.attrib["Glf"],
  213. "利润": child.attrib["Lr"],
  214. "暂估价" : child.attrib["Zgj"],
  215. "综合人工工日" : child.attrib["Zgr"],
  216. "备注" : child.attrib["Bz"]}
  217. )
  218. for child_zj in child:
  219. if child_zj.tag == "Qdxdezj":
  220. for child_mx in child_zj:
  221. if child_mx.tag == "QdxdezjMx":
  222. key = str(uuid.uuid4())
  223. child_mx.set("key", key)
  224. print("set key")
  225. print(key)
  226. print(child_mx)
  227. parent = result[-1]
  228. if "__children" in parent:
  229. parent["__children"].append({
  230. "key": key,
  231. "操作" : "",
  232. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  233. "计算规则" : None,
  234. "单位" : child_mx.attrib["Dw"],
  235. "数量": child_mx.attrib["DwQdSl"],
  236. "综合单价" : child_mx.attrib["Dj"],
  237. "合价" : child_mx.attrib["Hj"],
  238. "人工费": child_mx.attrib["Rgf"],
  239. "主材费" : child_mx.attrib["Zcf"],
  240. "设备费": child_mx.attrib["Sbf"],
  241. "辅材费": child_mx.attrib["Fcf"],
  242. "材料费" : child_mx.attrib["Clf"],
  243. "机械费" : child_mx.attrib["Jxf"],
  244. "管理费": child_mx.attrib["Glf"],
  245. "利润": child_mx.attrib["Lr"],
  246. "暂估价" : None,
  247. "综合人工工日" : None,
  248. "备注" : None}
  249. )
  250. else:
  251. parent["__children"] = [{
  252. "key": key,
  253. "操作" : "",
  254. "序号": None, "清单编码" : child_mx.attrib["Debm"], "名称" : child_mx.attrib["Mc"],"项目特征" : None,
  255. "计算规则" : None,
  256. "单位" : child_mx.attrib["Dw"],
  257. "数量": child_mx.attrib["DwQdSl"],
  258. "综合单价" : child_mx.attrib["Dj"],
  259. "合价" : child_mx.attrib["Hj"],
  260. "人工费": child_mx.attrib["Rgf"],
  261. "主材费" : child_mx.attrib["Zcf"],
  262. "设备费": child_mx.attrib["Sbf"],
  263. "辅材费": child_mx.attrib["Fcf"],
  264. "材料费" : child_mx.attrib["Clf"],
  265. "机械费" : child_mx.attrib["Jxf"],
  266. "管理费": child_mx.attrib["Glf"],
  267. "利润": child_mx.attrib["Lr"],
  268. "暂估价" : None,
  269. "综合人工工日" : None,
  270. "备注" : None}]
  271. return result
  272. def getQdxm_addition(root, id):
  273. result = []
  274. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  275. item = None
  276. for child in root:
  277. if child.tag == "Dxgcxx":
  278. for child1 in child:
  279. Dwgcbh = child1.attrib["Dwgcbh"]
  280. if Dwgcbh == id:
  281. item = child1
  282. break
  283. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  284. Fywj = None
  285. for child in item:
  286. if child.tag == 'Qdxm':
  287. Fywj= child
  288. break
  289. for child in Fywj:
  290. ##child is mx
  291. if child.tag == "QdBt":
  292. count = 0
  293. for grandchild in child:
  294. count = count + 1
  295. if count > 0:
  296. result.append({'Bz': child.attrib["Bz"], 'Je': child.attrib['Je'], 'Mc': child.attrib['Mc'], 'Xh': child.attrib['Xh'], 'Zgj': child.attrib['Zgj']})
  297. return result
  298. def getQdxm(root, id):###qdxm下面既有qdmx,也有qdbt,qdbt可能为空
  299. result = []
  300. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  301. item = None
  302. for child in root:
  303. if child.tag == "Dxgcxx":
  304. for child1 in child:
  305. Dwgcbh = child1.attrib["Dwgcbh"]
  306. if Dwgcbh == id:
  307. item = child1
  308. break
  309. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  310. Fywj = None
  311. for child in item:
  312. if child.tag == 'Qdxm':
  313. Fywj= child
  314. break
  315. for child in Fywj:
  316. ##child is mx
  317. if child.tag == 'Qdmx':
  318. if 'Default' in result:
  319. pass
  320. else:
  321. result.append('Default')
  322. if child.tag == "QdBt":
  323. count = 0
  324. for grandchild in child:
  325. count = count + 1
  326. if count > 0:
  327. result.append(child.attrib["Mc"])
  328. return result
  329. def getZjcs(root, id):
  330. result = []
  331. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  332. item = None
  333. for child in root:
  334. if child.tag == "Dxgcxx":
  335. for child1 in child:
  336. Dwgcbh = child1.attrib["Dwgcbh"]
  337. if Dwgcbh == id:
  338. item = child1
  339. break
  340. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  341. Fywj = None
  342. for child in item:
  343. if child.tag == 'Csxm':
  344. Fywj= child
  345. break
  346. Zjcs_parent = None
  347. for child in Fywj:
  348. if child.tag == 'ZjCs':
  349. Zjcs_parent = child
  350. break
  351. for child in Zjcs_parent:
  352. ##child is mx {
  353. result.append({
  354. "序号" : child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  355. "计算基数" : child.attrib["Js"],
  356. "计算基础" : child.attrib["Jsjc"], "费率" : child.attrib["Fl"],
  357. "金额" : child.attrib["Je"], "项目类别" : child.attrib["Xmlb"]})
  358. __children = []
  359. for grandchild in child:
  360. __children.append({
  361. "序号" : None, "清单编码": None, "名称" : grandchild.attrib["Mc"],
  362. "计算基数" : grandchild.attrib["Js"],
  363. "计算基础" : grandchild.attrib["Jsjc"], "费率" : grandchild.attrib["Fl"],
  364. "金额" : grandchild.attrib["Je"], "项目类别" : grandchild.attrib["Xmlb"]})
  365. if len(__children) > 0:
  366. result[-1]["__children"] = __children
  367. return result
  368. def getZcbfwf(root, id):
  369. result = []
  370. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  371. item = None
  372. for child in root:
  373. if child.tag == "Dxgcxx":
  374. for child1 in child:
  375. Dwgcbh = child1.attrib["Dwgcbh"]
  376. if Dwgcbh == id:
  377. item = child1
  378. break
  379. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  380. Fywj = None
  381. for child in item:
  382. if child.tag == 'Zcbfwf':
  383. Fywj= child
  384. break
  385. for child in Fywj:
  386. result.append(
  387. {'序号': child.attrib["Xh"],
  388. "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"],
  389. "费率" :child.attrib["Fl"], "金额" :child.attrib["Je"]}
  390. )
  391. return result
  392. def getRcjhz(root, id):
  393. result = [[ "ID", "编码", "名称", "规格型号", "单位", "数量", "单价", "合价", "产地",
  394. "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"]]
  395. for child in root:
  396. if child.tag == "Dxgcxx":
  397. for child1 in child:
  398. Dwgcbh = child1.attrib["Dwgcbh"]
  399. if Dwgcbh == id:
  400. item = child1
  401. break
  402. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  403. Fywj = None
  404. for child in item:
  405. if child.tag == 'Rcjhz':
  406. Fywj= child
  407. break
  408. for child in Fywj:
  409. result.append(
  410. [
  411. child.attrib["RcjId"], child.attrib["RcjBm"], child.attrib["Mc"], child.attrib["Ggxh"],
  412. child.attrib["Dw"], child.attrib["Sl"], child.attrib["Dj"], child.attrib["Hj"],
  413. child.attrib["Cd"], child.attrib["Gycs"], child.attrib["Rcjlb"],
  414. child.attrib["Zyclbz"], child.attrib["Zcbz"], child.attrib["Sbbz"], child.attrib["Jgbz"],
  415. child.attrib["Zgjbz"]]
  416. )
  417. return result
  418. def getFbrgycl(root, id):
  419. result = []
  420. for child in root:
  421. if child.tag == "Dxgcxx":
  422. for child1 in child:
  423. Dwgcbh = child1.attrib["Dwgcbh"]
  424. if Dwgcbh == id:
  425. item = child1
  426. break
  427. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  428. Fywj = None
  429. for child in item:
  430. if child.tag == 'Fbrgycl':
  431. Fywj= child
  432. break
  433. for child in Fywj:
  434. result.append(
  435. {'序号': child.attrib["Xh"],
  436. 'ID': child.attrib["RcjId"], '材料编号': child.attrib["Clbh"], '名称': child.attrib["Mc"], '规格型号': child.attrib["Ggxh"],
  437. '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"],
  438. '送达地点': child.attrib["Sddd"], '备注': child.attrib["Bz"]}
  439. )
  440. return result
  441. def getJrg(root, id):
  442. result = []
  443. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  444. item = None
  445. for child in root:
  446. if child.tag == "Dxgcxx":
  447. for child1 in child:
  448. Dwgcbh = child1.attrib["Dwgcbh"]
  449. if Dwgcbh == id:
  450. item = child1
  451. break
  452. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  453. Fywj = None
  454. for child in item:
  455. if child.tag == 'Jrg':
  456. Fywj= child
  457. break
  458. for child in Fywj:
  459. result.append(
  460. {'序号': child.attrib["Xh"],
  461. '名称': child.attrib["Mc"], '金额': child.attrib["Je"], '类别': child.attrib["Lb"]}
  462. )
  463. return result
  464. def getZlje(root, id):
  465. result = []
  466. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  467. item = None
  468. for child in root:
  469. if child.tag == "Dxgcxx":
  470. for child1 in child:
  471. Dwgcbh = child1.attrib["Dwgcbh"]
  472. if Dwgcbh == id:
  473. item = child1
  474. break
  475. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  476. Fywj = None
  477. for child in item:
  478. if child.tag == 'Zlje':
  479. Fywj= child
  480. break
  481. for child in Fywj:
  482. result.append(
  483. {'序号': child.attrib["Xh"],
  484. '名称': child.attrib["Mc"], '单位': child.attrib["Dw"], '暂定金额': child.attrib["Zdje"], '备注': child.attrib["Bz"]}
  485. )
  486. return result
  487. def getZygczgj(root, id):
  488. result = []
  489. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  490. item = None
  491. for child in root:
  492. if child.tag == "Dxgcxx":
  493. for child1 in child:
  494. Dwgcbh = child1.attrib["Dwgcbh"]
  495. if Dwgcbh == id:
  496. item = child1
  497. break
  498. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  499. Fywj = None
  500. for child in item:
  501. if child.tag == 'Zygczg':
  502. Fywj= child
  503. break
  504. for child in Fywj:
  505. result.append(
  506. {'序号': child.attrib["Xh"],
  507. '名称': child.attrib["Mc"], '工程内容': child.attrib["Gcnr"], '金额': child.attrib["Je"], '备注': child.attrib["Bz"]}
  508. )
  509. return result
  510. def getQtxm(root, id):
  511. result = []
  512. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  513. item = None
  514. for child in root:
  515. if child.tag == "Dxgcxx":
  516. for child1 in child:
  517. Dwgcbh = child1.attrib["Dwgcbh"]
  518. if Dwgcbh == id:
  519. item = child1
  520. break
  521. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  522. Fywj = None
  523. for child in item:
  524. if child.tag == 'Qtxm':
  525. Fywj= child
  526. break
  527. for child in Fywj:
  528. ##child is mx
  529. xh = child.attrib["Xh"]
  530. if "." in xh:
  531. count = 0
  532. for entry in xh:
  533. if entry == ".":
  534. count = count + 1
  535. if count == 1:
  536. parent = result[-1]
  537. if "__children" in parent:
  538. children = parent["__children"]
  539. children.append(
  540. {"序号":xh, "名称": child.attrib["Mc"],
  541. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}
  542. )
  543. else:
  544. parent["__children"] = [
  545. {"序号":xh, "名称": child.attrib["Mc"],
  546. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}]
  547. else:
  548. result.append(
  549. {"序号":xh, "名称": child.attrib["Mc"],
  550. "金额": child.attrib["Je"], "项目类别" : child.attrib["Xmlb"], "备注" : child.attrib["Bz"]}
  551. )
  552. return result
  553. def getGfsj(root, id):
  554. result = []
  555. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  556. item = None
  557. for child in root:
  558. if child.tag == "Dxgcxx":
  559. for child1 in child:
  560. Dwgcbh = child1.attrib["Dwgcbh"]
  561. if Dwgcbh == id:
  562. item = child1
  563. break
  564. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  565. Fywj = None
  566. for child in item:
  567. if child.tag == 'Gfsj':
  568. Fywj= child
  569. break
  570. for child in Fywj:
  571. ##child is mx
  572. xh = child.attrib["Xh"]
  573. if "." in xh:
  574. count = 0
  575. for entry in xh:
  576. if entry == ".":
  577. count = count + 1
  578. if count == 1:
  579. parent = result[-1]
  580. if "__children" in parent:
  581. children = parent["__children"]
  582. 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"]})
  583. else:
  584. 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"]}]
  585. elif count == 2:
  586. parent = result[-1]
  587. if "__children" in parent:
  588. parent = parent["__children"][-1]
  589. print(parent)
  590. if "__children" in parent:
  591. children = parent["__children"]
  592. 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"]})
  593. else:
  594. 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"]}]
  595. else:
  596. ###["序号", "名称", "取费基数", "计算基础", "金额", "类别"]);
  597. 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"]})
  598. return result
  599. def getBjhz(root, id):
  600. print(root)
  601. print(id)
  602. result = []
  603. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  604. item = None
  605. for child in root:
  606. if child.tag == "Dxgcxx":
  607. for child1 in child:
  608. Dwgcbh = child1.attrib["Dwgcbh"]
  609. if Dwgcbh == id:
  610. item = child1
  611. break
  612. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  613. print(item)
  614. Fywj = None
  615. for child in item:
  616. if child.tag == 'Fywj':
  617. Fywj= child
  618. break
  619. for child in Fywj:
  620. ##child is mx
  621. xh = child.attrib["Xh"]
  622. if "." in xh:
  623. count = 0
  624. for entry in xh:
  625. if entry == ".":
  626. count = count + 1
  627. if count == 1:
  628. parent = result[-1]
  629. if "__children" in parent:
  630. children = parent["__children"]
  631. 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"]})
  632. else:
  633. 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"]}]
  634. elif count == 2:
  635. parent = result[-1]
  636. if "__children" in parent:
  637. parent = parent["__children"][-1]
  638. print(parent)
  639. if "__children" in parent:
  640. children = parent["__children"]
  641. 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"]})
  642. else:
  643. 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"]}]
  644. else:
  645. ###"序号", "名称", "金额", "暂估价", "类别"]
  646. result.append({"序号":xh, "名称": child.attrib["Mc"], "金额": child.attrib["Je"],
  647. "暂估价" : child.attrib["Zgj"], "类别" : child.attrib["Fyxlb"]})
  648. return result
  649. def processDes(dataframe, from_, end, level):
  650. result = []
  651. for i in range(from_, end):
  652. item = dataframe.iloc[i]
  653. fbcch = str(item['fbcch'])
  654. if fbcch == str(level):
  655. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["zjbt"]), "title": str(item["zjbt"])}
  656. next = i + 1
  657. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  658. next = next + 1
  659. entry["children"] = processDes(dataframe, i + 1, next, level + 1)
  660. result.append(entry)
  661. return result
  662. def processPbs(dataframe, from_, end, level):
  663. result = []
  664. for i in range(from_, end):
  665. item = dataframe.iloc[i]
  666. fbcch = str(item['fbcch'])
  667. if fbcch == str(level):
  668. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["pblbh"]}
  669. next = i + 1
  670. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  671. next = next + 1
  672. entry["children"] = processPbs(dataframe, i + 1, next, level + 1)
  673. result.append(entry)
  674. return result
  675. def getCankao():
  676. tree = ET.parse('de/DeData_Fl.xml')
  677. root = tree.getroot()
  678. JSFF = None
  679. CsFl = None
  680. result = []
  681. for child in root:
  682. if child.tag == "JJFF":
  683. for grandchild in child:
  684. if grandchild.tag == 'JSFF':
  685. JSFF = grandchild
  686. for child in JSFF:
  687. if child.attrib['Markup'] == '1':
  688. for grandchild in child:
  689. if grandchild.tag == 'CsFl':
  690. CsFl = grandchild
  691. for child in CsFl:
  692. result.append({'工程类型': child.attrib['Gclx'], '名称': child.attrib['Mc'], '计算基础': child.attrib['Jsjc'],
  693. '参考费率': child.attrib['CkFl'], '地区': child.attrib['Dq'], '备注': child.attrib['Bz']})
  694. return result
  695. def getDes(value):
  696. if value == 10:
  697. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  698. elif value == 20:
  699. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  700. elif value == 30:
  701. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  702. elif value == 40:
  703. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  704. elif value == 50:
  705. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  706. else:
  707. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  708. length = len(shu)
  709. return processDes(shu, 1, length, 2)
  710. def getPbs(value):
  711. if value == 10:
  712. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  713. else:
  714. shu = pd.read_csv("de/sz/JD_PeiBiFLB.csv")
  715. length = len(shu)
  716. return processPbs(shu, 0, length, 1)
  717. def read_singledexilie_azfy(debh):
  718. id = "None"
  719. if "-F1" in debh:
  720. id = "2076"
  721. elif "-F2" in debh:
  722. id = "2077"
  723. elif "-F3" in debh:
  724. id = "2078"
  725. elif "-F4" in debh:
  726. id = "2079"
  727. elif "-F5" in debh:
  728. if '4-F5' in debh:
  729. id = "2081"
  730. elif '5-F5' in debh:
  731. id = '2082'
  732. elif '7-F5' in debh:
  733. id = '2083'
  734. elif '9-F5' in debh:
  735. id = '2084'
  736. elif '10-F5' in debh:
  737. id = '2085'
  738. elif '11-F5' in debh:
  739. id = '2086'
  740. elif "-F6" in debh:
  741. id = "2087"
  742. r_debh = debh.split("!")[0]
  743. if len(debh.split("!")) == 1:
  744. return json.dumps({
  745. "reverse": id,
  746. "rgde": [],
  747. "jxde": [],
  748. "clde": [],
  749. "actual_zhuanye": 30,
  750. "bz_selected": {"BZBH": {}},
  751. "bz_selected2": {"BZBH": {}}
  752. }, ensure_ascii=False)
  753. gclmc = debh.split("!")[1]
  754. return json.dumps({
  755. "reverse": id,
  756. "DEBH": {"111": r_debh},
  757. "GCLMC": {"111": gclmc},
  758. "DW": {"111": '项'},
  759. "rgde": [],
  760. "jxde": [],
  761. "clde": [],
  762. "actual_zhuanye": 30,
  763. "bz_selected": {"BZBH": {}},
  764. "bz_selected2": {"BZBH": {}}
  765. }, ensure_ascii=False)
  766. def getDeXilie_azfy(value, id):
  767. if int(id) == 2075 or int(id) == 2080:
  768. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  769. if int(id) == 2076:
  770. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项", "项", "项", "项", "项", "项"],
  771. 'DEBH': ['2-F1', '2-F1', '3-F1', '3-F1', '4-F1',
  772. '5-F1', '6-F1', '7-F1', '8-F1', '9-F1', '10-F1', '11-F1', '11-F1', '11-F1', '11-F1', '11-F1'],
  773. "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)",
  774. "第三册除静置设备制作以外(定额3-616~3-9999)", "第四册",
  775. "第五册", "第六册", "第七册", "第八册", "第九册", "第十册",
  776. "第十一册刷油工程(定额11-51~11-329)",
  777. "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"],
  778. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  779. df = pd.DataFrame(data)
  780. return df.to_json(force_ascii=False)
  781. if int(id) == 2077:
  782. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项','项','项',
  783. '项','项','项','项','项','项','项','项','项','项',
  784. '项','项','项',
  785. '项','项', "项",'项','项','项','项', "项",'项', "项"],
  786. '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',
  787. '4-F2', '5-F2', '5-F2', '5-F2','6-F2',
  788. '7-F2', '9-F2','9-F2','9-F2','9-F2', '10-F2','10-F2','10-F2','10-F2',
  789. '11-F2','11-F2','11-F2','11-F2', '11-F2','11-F2','11-F2' ],
  790. "GCLMC": ["第一册第1-6章(定额1-1~1-571)10-15m",
  791. "第一册第1-6章(定额1-1~1-571)15-20m",
  792. "第一册第1-6章(定额1-1~1-571)20-25m",
  793. "第一册第1-6章(定额1-1~1-571)25-30m",
  794. "第一册第1-6章(定额1-1~1-571)30-40m",
  795. "第一册第1-6章(定额1-1~1-571)40m以上",
  796. "第一册第8-14章(定额1-672~1-9999)10-15m",
  797. "第一册第8-14章(定额1-672~1-9999)15-20m",
  798. "第一册第8-14章(定额1-672~1-9999)20-25m",
  799. "第一册第8-14章(定额1-672~1-9999)25-30m",
  800. "第一册第8-14章(定额1-672~1-9999)30-40m",
  801. "第一册第8-14章(定额1-672~1-9999)40m以上",
  802. "第四册",
  803. "第五册5m以上到10m以内",
  804. "第五册10-20m",
  805. "第五册20m以上",
  806. "第六册", "第七册",
  807. "第九册5m以上到8m以内",
  808. "第九册8-12m",
  809. "第九册12-16m",
  810. "第九册16-20m",
  811. "第十册3.6-8m以内",
  812. "第十册8-12m以内",
  813. "第十册12-16m以内",
  814. "第十册16-20m",
  815. "第十一册6-20m",
  816. "第十一册20-30m",
  817. "第十一册30-40m",
  818. "第十一册40-50m",
  819. "第十一册50-60m",
  820. "第十一册60-70m",
  821. "第十一册80m以上",
  822. ],
  823. "GCLSJDJ": ["0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  824. "0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  825. "0","0", "0",
  826. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  827. df = pd.DataFrame(data)
  828. return df.to_json(force_ascii=False)
  829. if int(id) == 2078:
  830. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  831. 'DEBH': ['1-F3', '1-F3', '2-F3', '3-F3', '4-F3',
  832. '5-F3', '6-F3', '7-F3', '8-F3', '9-F3', '11-F3'],
  833. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  834. "第三册", "第四册",
  835. "第五册", "第六册", "第七册", "第八册", "第九册",
  836. "第十一册", ],
  837. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  838. df = pd.DataFrame(data)
  839. return df.to_json(force_ascii=False)
  840. if int(id) == 2079:
  841. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  842. 'DEBH': ['1-F4', '1-F4', '2-F4', '3-F4', '4-F4',
  843. '5-F4', '6-F4', '7-F4', '8-F4', '9-F4', '11-F4'],
  844. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  845. "第三册", "第四册",
  846. "第五册", "第六册", "第七册", "第八册", "第九册",
  847. "第十一册", ],
  848. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  849. df = pd.DataFrame(data)
  850. return df.to_json(force_ascii=False)
  851. if int(id) == 2081:
  852. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  853. "项", '项', '项', '项', '项', "项", "项", "项"],
  854. 'DEBH': ['4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5',
  855. '4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5'],
  856. "GCLMC": ["9层或30m以内",
  857. "12层或40m以内",
  858. "15层或50m以内",
  859. "18层或60m以内",
  860. "21层或70m以内",
  861. "24层或80m以内",
  862. "27层或90m以内",
  863. "30层或100m以内",
  864. "33层或110m以内",
  865. "36层或120m以内",
  866. "40层或130m以内",
  867. "42层或140m以内",
  868. "45层或150m以内",
  869. "48层或160m以内",
  870. "51层或170m以内",
  871. "54层或180m以内",
  872. "57层或190m以内",
  873. "60层或200m以内",
  874. ],
  875. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  876. "0", "0", "0", "0", "0", "0", "0", "0"]}
  877. df = pd.DataFrame(data)
  878. return df.to_json(force_ascii=False)
  879. if int(id) == 2082:
  880. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  881. "项", '项', '项', '项', '项', "项", "项", "项"],
  882. 'DEBH': ['5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5',
  883. '5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5'],
  884. "GCLMC": ["9层或30m以内",
  885. "12层或40m以内",
  886. "15层或50m以内",
  887. "18层或60m以内",
  888. "21层或70m以内",
  889. "24层或80m以内",
  890. "27层或90m以内",
  891. "30层或100m以内",
  892. "33层或110m以内",
  893. "36层或120m以内",
  894. "40层或130m以内",
  895. "42层或140m以内",
  896. "45层或150m以内",
  897. "48层或160m以内",
  898. "51层或170m以内",
  899. "54层或180m以内",
  900. "57层或190m以内",
  901. "60层或200m以内",
  902. ],
  903. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  904. "0", "0", "0", "0", "0", "0", "0", "0"]}
  905. df = pd.DataFrame(data)
  906. return df.to_json(force_ascii=False)
  907. if int(id) == 2083:
  908. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  909. "项", '项', '项', '项', '项', "项", "项", "项"],
  910. 'DEBH': ['7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5',
  911. '7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5'],
  912. "GCLMC": ["9层或30m以内",
  913. "12层或40m以内",
  914. "15层或50m以内",
  915. "18层或60m以内",
  916. "21层或70m以内",
  917. "24层或80m以内",
  918. "27层或90m以内",
  919. "30层或100m以内",
  920. "33层或110m以内",
  921. "36层或120m以内",
  922. "40层或130m以内",
  923. "42层或140m以内",
  924. "45层或150m以内",
  925. "48层或160m以内",
  926. "51层或170m以内",
  927. "54层或180m以内",
  928. "57层或190m以内",
  929. "60层或200m以内",
  930. ],
  931. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  932. "0", "0", "0", "0", "0", "0", "0", "0"]}
  933. df = pd.DataFrame(data)
  934. return df.to_json(force_ascii=False)
  935. if int(id) == 2084:
  936. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  937. "项", '项', '项', '项', '项', "项", "项", "项"],
  938. 'DEBH': ['9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5',
  939. '9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5'],
  940. "GCLMC": ["9层或30m以内",
  941. "12层或40m以内",
  942. "15层或50m以内",
  943. "18层或60m以内",
  944. "21层或70m以内",
  945. "24层或80m以内",
  946. "27层或90m以内",
  947. "30层或100m以内",
  948. "33层或110m以内",
  949. "36层或120m以内",
  950. "40层或130m以内",
  951. "42层或140m以内",
  952. "45层或150m以内",
  953. "48层或160m以内",
  954. "51层或170m以内",
  955. "54层或180m以内",
  956. "57层或190m以内",
  957. "60层或200m以内",
  958. ],
  959. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  960. "0", "0", "0", "0", "0", "0", "0", "0"]}
  961. df = pd.DataFrame(data)
  962. return df.to_json(force_ascii=False)
  963. if int(id) == 2085:
  964. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  965. "项", '项', '项', '项', '项', "项", "项", "项"],
  966. 'DEBH': ['10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5',
  967. '10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5'],
  968. "GCLMC": ["9层或30m以内",
  969. "12层或40m以内",
  970. "15层或50m以内",
  971. "18层或60m以内",
  972. "21层或70m以内",
  973. "24层或80m以内",
  974. "27层或90m以内",
  975. "30层或100m以内",
  976. "33层或110m以内",
  977. "36层或120m以内",
  978. "40层或130m以内",
  979. "42层或140m以内",
  980. "45层或150m以内",
  981. "48层或160m以内",
  982. "51层或170m以内",
  983. "54层或180m以内",
  984. "57层或190m以内",
  985. "60层或200m以内",
  986. ],
  987. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  988. "0", "0", "0", "0", "0", "0", "0", "0"]}
  989. df = pd.DataFrame(data)
  990. return df.to_json(force_ascii=False)
  991. if int(id) == 2086:
  992. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  993. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  994. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  995. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  996. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  997. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  998. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  999. "项", '项'],
  1000. 'DEBH': ['11-F5', '11-F5',
  1001. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1002. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1003. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1004. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1005. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1006. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1007. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1008. ],
  1009. "GCLMC": [
  1010. "(按通风空调工程)9层或30m以内",
  1011. "(按通风空调工程)12层或40m以内",
  1012. "(按通风空调工程)15层或50m以内",
  1013. "(按通风空调工程)18层或60m以内",
  1014. "(按通风空调工程)21层或70m以内",
  1015. "(按通风空调工程)24层或80m以内",
  1016. "(按通风空调工程)27层或90m以内",
  1017. "(按通风空调工程)30层或100m以内",
  1018. "(按通风空调工程)33层或110m以内",
  1019. "(按通风空调工程)36层或120m以内",
  1020. "(按通风空调工程)40层或130m以内",
  1021. "(按通风空调工程)42层或140m以内",
  1022. "(按通风空调工程)45层或150m以内",
  1023. "(按通风空调工程)48层或160m以内",
  1024. "(按通风空调工程)51层或170m以内",
  1025. "(按通风空调工程)54层或180m以内",
  1026. "(按通风空调工程)57层或190m以内",
  1027. "(按通风空调工程)60层或200m以内",
  1028. ############################
  1029. "(按消防工程)9层或30m以内",
  1030. "(按消防工程)12层或40m以内",
  1031. "(按消防工程)15层或50m以内",
  1032. "(按消防工程)18层或60m以内",
  1033. "(按消防工程)21层或70m以内",
  1034. "(按消防工程)24层或80m以内",
  1035. "(按消防工程)27层或90m以内",
  1036. "(按消防工程)30层或100m以内",
  1037. "(按消防工程)33层或110m以内",
  1038. "(按消防工程)36层或120m以内",
  1039. "(按消防工程)40层或130m以内",
  1040. "(按消防工程)42层或140m以内",
  1041. "(按消防工程)45层或150m以内",
  1042. "(按消防工程)48层或160m以内",
  1043. "(按消防工程)51层或170m以内",
  1044. "(按消防工程)54层或180m以内",
  1045. "(按消防工程)57层或190m以内",
  1046. "(按消防工程)60层或200m以内",
  1047. ############################
  1048. "(按给排水、采暖工程)9层或30m以内",
  1049. "(按给排水、采暖工程)12层或40m以内",
  1050. "(按给排水、采暖工程)15层或50m以内",
  1051. "(按给排水、采暖工程)18层或60m以内",
  1052. "(按给排水、采暖工程)21层或70m以内",
  1053. "(按给排水、采暖工程)24层或80m以内",
  1054. "(按给排水、采暖工程)27层或90m以内",
  1055. "(按给排水、采暖工程)30层或100m以内",
  1056. "(按给排水、采暖工程)33层或110m以内",
  1057. "(按给排水、采暖工程)36层或120m以内",
  1058. "(按给排水、采暖工程)40层或130m以内",
  1059. "(按给排水、采暖工程)42层或140m以内",
  1060. "(按给排水、采暖工程)45层或150m以内",
  1061. "(按给排水、采暖工程)48层或160m以内",
  1062. "(按给排水、采暖工程)51层或170m以内",
  1063. "(按给排水、采暖工程)54层或180m以内",
  1064. "(按给排水、采暖工程)57层或190m以内",
  1065. "(按给排水、采暖工程)60层或200m以内",
  1066. ############################
  1067. "(按电气工程)9层或30m以内",
  1068. "(按电气工程)12层或40m以内",
  1069. "(按电气工程)15层或50m以内",
  1070. "(按电气工程)18层或60m以内",
  1071. "(按电气工程)21层或70m以内",
  1072. "(按电气工程)24层或80m以内",
  1073. "(按电气工程)27层或90m以内",
  1074. "(按电气工程)30层或100m以内",
  1075. "(按电气工程)33层或110m以内",
  1076. "(按电气工程)36层或120m以内",
  1077. "(按电气工程)40层或130m以内",
  1078. "(按电气工程)42层或140m以内",
  1079. "(按电气工程)45层或150m以内",
  1080. "(按电气工程)48层或160m以内",
  1081. "(按电气工程)51层或170m以内",
  1082. "(按电气工程)54层或180m以内",
  1083. "(按电气工程)57层或190m以内",
  1084. "(按电气工程)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", "0", "0",
  1088. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1089. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1090. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1091. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1092. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1093. "0", "0" ]}
  1094. df = pd.DataFrame(data)
  1095. return df.to_json(force_ascii=False)
  1096. if int(id) == 2087:
  1097. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项"],
  1098. 'DEBH': ['1-F6', '3-F6', '4-F6', '7-F6', '8-F6',
  1099. '10-F6', '10-F6', '10-F6', '11-F6'],
  1100. "GCLMC": ["第一册 站内工艺系统",
  1101. "第三册 站内工艺系统", "第四册 站内工艺系统",
  1102. "第七册", "第八册 站内工艺系统",
  1103. "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" ],
  1104. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1105. df = pd.DataFrame(data)
  1106. return df.to_json(force_ascii=False)
  1107. def getDeXilie(value, id):
  1108. print(type(id))
  1109. if value == 10:
  1110. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1111. elif value == 20:
  1112. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1113. elif value == 30:
  1114. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1115. elif value == 40:
  1116. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1117. elif value == 50:
  1118. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1119. else:
  1120. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1121. hit = shu[shu["ID"]==int(id)]
  1122. print(hit)
  1123. if len(hit) == 0:
  1124. return []
  1125. hit0 = hit.iloc[0]
  1126. index = str(hit0['zjh'])
  1127. print("index=" + index)
  1128. if value == 10:
  1129. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1130. filtered = gj[gj["YSDELBH"]==int(index)]
  1131. elif value == 20:
  1132. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1133. filtered = gj[gj["YSDELBH"]==(index)]
  1134. elif value == 30:
  1135. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1136. filtered = gj[gj["YSDELBH"]==(index)]
  1137. elif value == 40:
  1138. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1139. filtered = gj[gj["YSDELBH"]==int(index)]
  1140. elif value == 50:
  1141. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1142. filtered = gj[gj["YSDELBH"]==int(index)]
  1143. else:
  1144. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1145. filtered = gj[gj["YSDELBH"]==int(index)]
  1146. 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)
  1147. return filtered.to_json(force_ascii=False)
  1148. def getQufei(name):
  1149. if name == "0":
  1150. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1151. return gj.to_json(force_ascii=False)
  1152. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1153. hit = shu[shu["ID"]==int(name)]
  1154. print(hit)
  1155. if len(hit) == 0:
  1156. return []
  1157. hit0 = hit.iloc[0]
  1158. index = str(hit0['pblbh'])
  1159. index_list = index.split(";")
  1160. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1161. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1162. return filtered.to_json(force_ascii=False)
  1163. def getPbxl(name):
  1164. if name == "0":
  1165. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1166. return gj.to_json(force_ascii=False)
  1167. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1168. hit = shu[shu["ID"]==int(name)]
  1169. print(hit)
  1170. if len(hit) == 0:
  1171. return []
  1172. hit0 = hit.iloc[0]
  1173. index = str(hit0['pblbh'])
  1174. index_list = index.split(";")
  1175. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1176. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1177. return filtered.to_json(force_ascii=False)
  1178. def getSingleDeXilie(zhuanye, debh):
  1179. if zhuanye == 10:
  1180. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1181. if A1:
  1182. return A1, A2, A3, A4, A5, A6, A7, 10
  1183. else:
  1184. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1185. return A1, A2, A3, A4,A5, A6, A7, 20
  1186. elif zhuanye == 20:##shizheng
  1187. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1188. if A1:
  1189. return A1, A2, A3, A4, A5, A6, A7, 20
  1190. else:
  1191. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1192. if A1:
  1193. return A1, A2, A3, A4, A5, A6, A7, 10
  1194. else:
  1195. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1196. return A1, A2, A3, A4, A5, A6, A7, 30
  1197. elif zhuanye == 30:##anzhuang
  1198. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1199. return A1, A2, A3, A4, A5, A6, A7, 30
  1200. elif zhuanye == 40:##yuanlin
  1201. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_yl(debh)
  1202. return A1, A2, A3, A4, A5, A6, A7, 40
  1203. elif zhuanye == 50: ## xiushan tujian
  1204. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xstj(debh)
  1205. if A1:
  1206. return A1, A2, A3, A4, A5, A6, A7, 50
  1207. else:
  1208. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1209. return A1, A2, A3, A4,A5, A6, A7, 10
  1210. else:
  1211. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xsaz(debh)
  1212. if A1:
  1213. return A1, A2, A3, A4, A5, A6, A7, 60
  1214. else:
  1215. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1216. return A1, A2, A3, A4,A5, A6, A7, 30
  1217. def getSingleDeXilie_xsaz(debh):
  1218. id = None
  1219. bz_selected = []
  1220. bz_selected2 = []
  1221. if "附注" in debh:
  1222. position = debh.find("附注")
  1223. debh = debh[:position]
  1224. if "*" in debh:
  1225. position = debh.find("*")
  1226. debh = debh[:position]
  1227. if debh.endswith("换"):
  1228. debh = debh[:-1]
  1229. if "[" in debh:
  1230. position = debh.find("[")
  1231. debh = debh[:position-1]
  1232. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1233. filtered = gj[gj["DEBH"]==debh]
  1234. ##print(filtered)
  1235. if len(filtered) > 0:
  1236. index = (filtered.iloc[0]["YSDELBH"])
  1237. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1238. hit = shu[shu["zjh"]==index]
  1239. if len(hit) > 0:
  1240. id = hit.iloc[0]["ID"]
  1241. beizhu = str(filtered.iloc[0]["BZBH"])
  1242. if 'nan' in beizhu:
  1243. pass
  1244. else:
  1245. beizhus = beizhu.split(";")
  1246. ##print(beizhus)
  1247. bzfile = pd.read_csv("de/xsaz/JD_BeiZhuZK.csv")
  1248. bzfile2 = pd.read_csv("de/xsaz/JD_BeiZhuFK.csv", dtype=str)
  1249. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1250. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1251. else:
  1252. return None, None, None, None, None, None, None
  1253. ####rengong
  1254. rgde = []
  1255. rg = pd.read_csv("de/xsaz/JD_GuJiaRG.csv")
  1256. filtered1 = rg[rg["DEBH"]==debh]
  1257. for i in range(len(filtered1)):
  1258. rgde_ = {}
  1259. gr = filtered1.iloc[i]["RGR"]##gongri
  1260. gf = filtered1.iloc[i]["RGF"]##gongfei
  1261. rcjID = filtered1.iloc[i]["RcjID"]
  1262. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1263. filtered2 = detail[detail["RcjID"]==rcjID]
  1264. if len(filtered2) > 0:
  1265. CLBH = filtered2.iloc[0]["CLBH"]
  1266. CLMC = filtered2.iloc[0]["CLMC"]
  1267. JLDW = filtered2.iloc[0]["JLDW"]
  1268. YSJG = filtered2.iloc[0]["YSJG"]
  1269. rgde_["CLBH"] = CLBH
  1270. rgde_["CLMC"] = CLMC
  1271. rgde_["JLDW"] = JLDW
  1272. rgde_["YSJG"] = YSJG.item()
  1273. rgde_["gr"] = gr.item()
  1274. rgde_["gf"] = gf.item()
  1275. rgde.append(rgde_)
  1276. ##print(rgde)
  1277. ####jixie
  1278. jxde = []
  1279. jx = pd.read_csv("de/xsaz/JD_GuJiaJX.csv")
  1280. filtered1 = jx[jx["DEBH"]==debh]
  1281. for i in range(len(filtered1)):
  1282. jxde_ = {}
  1283. sl = filtered1.iloc[i]["SL"]##shuliang
  1284. hj = filtered1.iloc[i]["HJ"]##hejia
  1285. rcjID = filtered1.iloc[i]["RcjID"]
  1286. detail = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1287. filtered2 = detail[detail["RcjID"]==rcjID]
  1288. if len(filtered2) > 0:
  1289. jxbh = filtered2.iloc[0]["jxbh"]
  1290. jxmc = filtered2.iloc[0]["jxmc"]
  1291. DW = filtered2.iloc[0]["DW"]
  1292. tbdj = filtered2.iloc[0]["tbdj"]
  1293. jxde_["jxbh"] = jxbh
  1294. jxde_["jxmc"] = jxmc
  1295. jxde_["DW"] = DW
  1296. jxde_["tbdj"] = tbdj.item()
  1297. jxde_["sl"] = sl.item()
  1298. jxde_["hj"] = hj.item()
  1299. jxde.append(jxde_)
  1300. ####cailiao
  1301. clde = []
  1302. cl = pd.read_csv("de/xsaz/JD_GuJiaCL.csv")
  1303. filtered1 = cl[cl["DEBH"]==debh]
  1304. for i in range(len(filtered1)):
  1305. clde_ = {}
  1306. SL = filtered1.iloc[i]["SL"]##shuliang
  1307. HJ = filtered1.iloc[i]["HJ"]##hejia
  1308. rcjID = filtered1.iloc[i]["RcjID"]
  1309. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1310. filtered2 = detail[detail["RcjID"]==rcjID]
  1311. if len(filtered2) > 0:
  1312. CLBH = filtered2.iloc[0]["CLBH"]
  1313. CLMC = filtered2.iloc[0]["CLMC"]
  1314. JLDW = filtered2.iloc[0]["JLDW"]
  1315. YSJG = filtered2.iloc[0]["YSJG"]
  1316. clde_["CLBH"] = CLBH
  1317. clde_["CLMC"] = CLMC
  1318. clde_["JLDW"] = JLDW
  1319. clde_["YSJG"] = YSJG.item()
  1320. clde_["SL"] = SL.item()
  1321. clde_["HJ"] = HJ.item()
  1322. clde.append(clde_)
  1323. else:
  1324. detail = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1325. filtered2 = detail[detail["RcjID"]==rcjID]
  1326. if len(filtered2) > 0:
  1327. CLBH = filtered2.iloc[0]["PBBH"]
  1328. CLMC = filtered2.iloc[0]["PBMC"]
  1329. JLDW = filtered2.iloc[0]["DW"]
  1330. YSJG = filtered2.iloc[0]["PBDJ"]
  1331. clde_["CLBH"] = CLBH.item()
  1332. clde_["CLMC"] = CLMC
  1333. clde_["JLDW"] = JLDW
  1334. clde_["YSJG"] = YSJG.item()
  1335. clde_["SL"] = SL.item()
  1336. clde_["HJ"] = HJ.item()
  1337. clde.append(clde_)
  1338. 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)
  1339. 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
  1340. def getSingleDeXilie_xstj(debh):
  1341. id = None
  1342. bz_selected = []
  1343. bz_selected2 = []
  1344. if "附注" in debh:
  1345. position = debh.find("附注")
  1346. debh = debh[:position]
  1347. if "*" in debh:
  1348. position = debh.find("*")
  1349. debh = debh[:position]
  1350. if debh.endswith("换"):
  1351. debh = debh[:-1]
  1352. if "[" in debh:
  1353. position = debh.find("[")
  1354. debh = debh[:position-1]
  1355. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1356. filtered = gj[gj["DEBH"]==debh]
  1357. ##print(filtered)
  1358. if len(filtered) > 0:
  1359. index = (filtered.iloc[0]["YSDELBH"])
  1360. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1361. hit = shu[shu["zjh"]==index]
  1362. if len(hit) > 0:
  1363. id = hit.iloc[0]["ID"]
  1364. beizhu = str(filtered.iloc[0]["BZBH"])
  1365. if 'nan' in beizhu:
  1366. pass
  1367. else:
  1368. beizhus = beizhu.split(";")
  1369. ##print(beizhus)
  1370. bzfile = pd.read_csv("de/xstj/JD_BeiZhuZK.csv")
  1371. bzfile2 = pd.read_csv("de/xstj/JD_BeiZhuFK.csv", dtype=str)
  1372. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1373. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1374. else:
  1375. return None, None, None, None, None, None, None
  1376. ####rengong
  1377. rgde = []
  1378. rg = pd.read_csv("de/xstj/JD_GuJiaRG.csv")
  1379. filtered1 = rg[rg["DEBH"]==debh]
  1380. for i in range(len(filtered1)):
  1381. rgde_ = {}
  1382. gr = filtered1.iloc[i]["RGR"]##gongri
  1383. gf = filtered1.iloc[i]["RGF"]##gongfei
  1384. rcjID = filtered1.iloc[i]["RcjID"]
  1385. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1386. filtered2 = detail[detail["RcjID"]==rcjID]
  1387. if len(filtered2) > 0:
  1388. CLBH = filtered2.iloc[0]["CLBH"]
  1389. CLMC = filtered2.iloc[0]["CLMC"]
  1390. JLDW = filtered2.iloc[0]["JLDW"]
  1391. YSJG = filtered2.iloc[0]["YSJG"]
  1392. rgde_["CLBH"] = CLBH
  1393. rgde_["CLMC"] = CLMC
  1394. rgde_["JLDW"] = JLDW
  1395. rgde_["YSJG"] = YSJG.item()
  1396. rgde_["gr"] = gr.item()
  1397. rgde_["gf"] = gf.item()
  1398. rgde.append(rgde_)
  1399. ##print(rgde)
  1400. ####jixie
  1401. jxde = []
  1402. jx = pd.read_csv("de/xstj/JD_GuJiaJX.csv")
  1403. filtered1 = jx[jx["DEBH"]==debh]
  1404. for i in range(len(filtered1)):
  1405. jxde_ = {}
  1406. sl = filtered1.iloc[i]["SL"]##shuliang
  1407. hj = filtered1.iloc[i]["HJ"]##hejia
  1408. rcjID = filtered1.iloc[i]["RcjID"]
  1409. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1410. filtered2 = detail[detail["RcjID"]==rcjID]
  1411. if len(filtered2) > 0:
  1412. jxbh = filtered2.iloc[0]["jxbh"]
  1413. jxmc = filtered2.iloc[0]["jxmc"]
  1414. DW = filtered2.iloc[0]["DW"]
  1415. tbdj = filtered2.iloc[0]["tbdj"]
  1416. jxde_["jxbh"] = jxbh
  1417. jxde_["jxmc"] = jxmc
  1418. jxde_["DW"] = DW
  1419. jxde_["tbdj"] = tbdj.item()
  1420. jxde_["sl"] = sl.item()
  1421. jxde_["hj"] = hj.item()
  1422. jxde.append(jxde_)
  1423. ####cailiao
  1424. clde = []
  1425. cl = pd.read_csv("de/xstj/JD_GuJiaCL.csv")
  1426. filtered1 = cl[cl["DEBH"]==debh]
  1427. for i in range(len(filtered1)):
  1428. clde_ = {}
  1429. SL = filtered1.iloc[i]["SL"]##shuliang
  1430. HJ = filtered1.iloc[i]["HJ"]##hejia
  1431. rcjID = filtered1.iloc[i]["RcjID"]
  1432. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1433. filtered2 = detail[detail["RcjID"]==rcjID]
  1434. if len(filtered2) > 0:
  1435. CLBH = filtered2.iloc[0]["CLBH"]
  1436. CLMC = filtered2.iloc[0]["CLMC"]
  1437. JLDW = filtered2.iloc[0]["JLDW"]
  1438. YSJG = filtered2.iloc[0]["YSJG"]
  1439. clde_["CLBH"] = CLBH
  1440. clde_["CLMC"] = CLMC
  1441. clde_["JLDW"] = JLDW
  1442. clde_["YSJG"] = YSJG.item()
  1443. clde_["SL"] = SL.item()
  1444. clde_["HJ"] = HJ.item()
  1445. clde.append(clde_)
  1446. else:
  1447. detail = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1448. filtered2 = detail[detail["RcjID"]==rcjID]
  1449. if len(filtered2) > 0:
  1450. CLBH = filtered2.iloc[0]["PBBH"]
  1451. CLMC = filtered2.iloc[0]["PBMC"]
  1452. JLDW = filtered2.iloc[0]["DW"]
  1453. YSJG = filtered2.iloc[0]["PBDJ"]
  1454. clde_["CLBH"] = CLBH.item()
  1455. clde_["CLMC"] = CLMC
  1456. clde_["JLDW"] = JLDW
  1457. clde_["YSJG"] = YSJG.item()
  1458. clde_["SL"] = SL.item()
  1459. clde_["HJ"] = HJ.item()
  1460. clde.append(clde_)
  1461. 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)
  1462. 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
  1463. def getSingleDeXilie_yl(debh):
  1464. id = None
  1465. bz_selected = []
  1466. bz_selected2 = []
  1467. if "附注" in debh:
  1468. position = debh.find("附注")
  1469. debh = debh[:position]
  1470. if "*" in debh:
  1471. position = debh.find("*")
  1472. debh = debh[:position]
  1473. if debh.endswith("换"):
  1474. debh = debh[:-1]
  1475. if "[" in debh:
  1476. position = debh.find("[")
  1477. debh = debh[:position-1]
  1478. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1479. filtered = gj[gj["DEBH"]==debh]
  1480. ##print(filtered)
  1481. if len(filtered) > 0:
  1482. index = (filtered.iloc[0]["YSDELBH"])
  1483. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1484. hit = shu[shu["zjh"]==index]
  1485. if len(hit) > 0:
  1486. id = hit.iloc[0]["ID"]
  1487. beizhu = str(filtered.iloc[0]["BZBH"])
  1488. if 'nan' in beizhu:
  1489. pass
  1490. else:
  1491. beizhus = beizhu.split(";")
  1492. ##print(beizhus)
  1493. bzfile = pd.read_csv("de/yl/JD_BeiZhuZK.csv")
  1494. bzfile2 = pd.read_csv("de/yl/JD_BeiZhuFK.csv", dtype=str)
  1495. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1496. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1497. else:
  1498. return None, None, None, None, None, None, None
  1499. ####rengong
  1500. rgde = []
  1501. rg = pd.read_csv("de/yl/JD_GuJiaRG.csv")
  1502. filtered1 = rg[rg["DEBH"]==debh]
  1503. for i in range(len(filtered1)):
  1504. rgde_ = {}
  1505. gr = filtered1.iloc[i]["RGR"]##gongri
  1506. gf = filtered1.iloc[i]["RGF"]##gongfei
  1507. rcjID = filtered1.iloc[i]["RcjID"]
  1508. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1509. filtered2 = detail[detail["RcjID"]==rcjID]
  1510. if len(filtered2) > 0:
  1511. CLBH = filtered2.iloc[0]["CLBH"]
  1512. CLMC = filtered2.iloc[0]["CLMC"]
  1513. JLDW = filtered2.iloc[0]["JLDW"]
  1514. YSJG = filtered2.iloc[0]["YSJG"]
  1515. rgde_["CLBH"] = CLBH
  1516. rgde_["CLMC"] = CLMC
  1517. rgde_["JLDW"] = JLDW
  1518. rgde_["YSJG"] = YSJG.item()
  1519. rgde_["gr"] = gr.item()
  1520. rgde_["gf"] = gf.item()
  1521. rgde.append(rgde_)
  1522. ##print(rgde)
  1523. ####jixie
  1524. jxde = []
  1525. jx = pd.read_csv("de/yl/JD_GuJiaJX.csv")
  1526. filtered1 = jx[jx["DEBH"]==debh]
  1527. for i in range(len(filtered1)):
  1528. jxde_ = {}
  1529. sl = filtered1.iloc[i]["SL"]##shuliang
  1530. hj = filtered1.iloc[i]["HJ"]##hejia
  1531. rcjID = filtered1.iloc[i]["RcjID"]
  1532. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1533. filtered2 = detail[detail["RcjID"]==rcjID]
  1534. if len(filtered2) > 0:
  1535. jxbh = filtered2.iloc[0]["jxbh"]
  1536. jxmc = filtered2.iloc[0]["jxmc"]
  1537. DW = filtered2.iloc[0]["DW"]
  1538. tbdj = filtered2.iloc[0]["tbdj"]
  1539. jxde_["jxbh"] = jxbh
  1540. jxde_["jxmc"] = jxmc
  1541. jxde_["DW"] = DW
  1542. jxde_["tbdj"] = tbdj.item()
  1543. jxde_["sl"] = sl.item()
  1544. jxde_["hj"] = hj.item()
  1545. jxde.append(jxde_)
  1546. ####cailiao
  1547. clde = []
  1548. cl = pd.read_csv("de/yl/JD_GuJiaCL.csv")
  1549. filtered1 = cl[cl["DEBH"]==debh]
  1550. for i in range(len(filtered1)):
  1551. clde_ = {}
  1552. SL = filtered1.iloc[i]["SL"]##shuliang
  1553. HJ = filtered1.iloc[i]["HJ"]##hejia
  1554. rcjID = filtered1.iloc[i]["RcjID"]
  1555. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1556. filtered2 = detail[detail["RcjID"]==rcjID]
  1557. if len(filtered2) > 0:
  1558. CLBH = filtered2.iloc[0]["CLBH"]
  1559. CLMC = filtered2.iloc[0]["CLMC"]
  1560. JLDW = filtered2.iloc[0]["JLDW"]
  1561. YSJG = filtered2.iloc[0]["YSJG"]
  1562. clde_["CLBH"] = CLBH
  1563. clde_["CLMC"] = CLMC
  1564. clde_["JLDW"] = JLDW
  1565. clde_["YSJG"] = YSJG.item()
  1566. clde_["SL"] = SL.item()
  1567. clde_["HJ"] = HJ.item()
  1568. clde.append(clde_)
  1569. else:
  1570. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  1571. filtered2 = detail[detail["RcjID"]==rcjID]
  1572. if len(filtered2) > 0:
  1573. CLBH = filtered2.iloc[0]["PBBH"]
  1574. CLMC = filtered2.iloc[0]["PBMC"]
  1575. JLDW = filtered2.iloc[0]["DW"]
  1576. YSJG = filtered2.iloc[0]["PBDJ"]
  1577. clde_["CLBH"] = CLBH.item()
  1578. clde_["CLMC"] = CLMC
  1579. clde_["JLDW"] = JLDW
  1580. clde_["YSJG"] = YSJG.item()
  1581. clde_["SL"] = SL.item()
  1582. clde_["HJ"] = HJ.item()
  1583. clde.append(clde_)
  1584. 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)
  1585. 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
  1586. def getSingleDeXilie_az(debh):
  1587. id = None
  1588. bz_selected = []
  1589. bz_selected2 = []
  1590. if "附注" in debh:
  1591. position = debh.find("附注")
  1592. debh = debh[:position]
  1593. if "*" in debh:
  1594. position = debh.find("*")
  1595. debh = debh[:position]
  1596. if debh.endswith("换"):
  1597. debh = debh[:-1]
  1598. if "[" in debh:
  1599. position = debh.find("[")
  1600. debh = debh[:position-1]
  1601. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1602. filtered = gj[gj["DEBH"]==debh]
  1603. ##print(filtered)
  1604. if len(filtered) > 0:
  1605. index = (filtered.iloc[0]["YSDELBH"])
  1606. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1607. hit = shu[shu["zjh"]==index]
  1608. if len(hit) > 0:
  1609. id = hit.iloc[0]["ID"]
  1610. beizhu = str(filtered.iloc[0]["BZBH"])
  1611. if 'nan' in beizhu:
  1612. pass
  1613. else:
  1614. beizhus = beizhu.split(";")
  1615. ##print(beizhus)
  1616. bzfile = pd.read_csv("de/az/JD_BeiZhuZK.csv")
  1617. bzfile2 = pd.read_csv("de/az/JD_BeiZhuFK.csv", dtype=str)
  1618. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1619. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1620. else:
  1621. return None, None, None, None, None, None, None
  1622. ####rengong
  1623. rgde = []
  1624. rg = pd.read_csv("de/az/JD_GuJiaRG.csv")
  1625. filtered1 = rg[rg["DEBH"]==debh]
  1626. for i in range(len(filtered1)):
  1627. rgde_ = {}
  1628. gr = filtered1.iloc[i]["RGR"]##gongri
  1629. gf = filtered1.iloc[i]["RGF"]##gongfei
  1630. rcjID = filtered1.iloc[i]["RcjID"]
  1631. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1632. filtered2 = detail[detail["RcjID"]==rcjID]
  1633. if len(filtered2) > 0:
  1634. CLBH = filtered2.iloc[0]["CLBH"]
  1635. CLMC = filtered2.iloc[0]["CLMC"]
  1636. JLDW = filtered2.iloc[0]["JLDW"]
  1637. YSJG = filtered2.iloc[0]["YSJG"]
  1638. rgde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1639. rgde_["CLMC"] = CLMC
  1640. rgde_["JLDW"] = JLDW
  1641. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1642. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1643. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1644. rgde.append(rgde_)
  1645. ##print(rgde)
  1646. ####jixie
  1647. jxde = []
  1648. jx = pd.read_csv("de/az/JD_GuJiaJX.csv")
  1649. filtered1 = jx[jx["DEBH"]==debh]
  1650. for i in range(len(filtered1)):
  1651. jxde_ = {}
  1652. sl = filtered1.iloc[i]["SL"]##shuliang
  1653. hj = filtered1.iloc[i]["HJ"]##hejia
  1654. rcjID = filtered1.iloc[i]["RcjID"]
  1655. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  1656. filtered2 = detail[detail["RcjID"]==rcjID]
  1657. if len(filtered2) > 0:
  1658. jxbh = filtered2.iloc[0]["jxbh"]
  1659. jxmc = filtered2.iloc[0]["jxmc"]
  1660. DW = filtered2.iloc[0]["DW"]
  1661. tbdj = filtered2.iloc[0]["tbdj"]
  1662. jxde_["jxbh"] = jxbh
  1663. jxde_["jxmc"] = jxmc
  1664. jxde_["DW"] = DW
  1665. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1666. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1667. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1668. jxde.append(jxde_)
  1669. ####cailiao
  1670. clde = []
  1671. cl = pd.read_csv("de/az/JD_GuJiaCL.csv")
  1672. filtered1 = cl[cl["DEBH"]==debh]
  1673. for i in range(len(filtered1)):
  1674. clde_ = {}
  1675. SL = filtered1.iloc[i]["SL"]##shuliang
  1676. HJ = filtered1.iloc[i]["HJ"]##hejia
  1677. rcjID = filtered1.iloc[i]["RcjID"]
  1678. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1679. filtered2 = detail[detail["RcjID"]==rcjID]
  1680. if len(filtered2) > 0:
  1681. CLBH = filtered2.iloc[0]["CLBH"]
  1682. CLMC = filtered2.iloc[0]["CLMC"]
  1683. JLDW = filtered2.iloc[0]["JLDW"]
  1684. YSJG = filtered2.iloc[0]["YSJG"]
  1685. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1686. clde_["CLMC"] = CLMC
  1687. clde_["JLDW"] = JLDW
  1688. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1689. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1690. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1691. clde.append(clde_)
  1692. else:
  1693. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  1694. filtered2 = detail[detail["RcjID"]==rcjID]
  1695. if len(filtered2) > 0:
  1696. CLBH = filtered2.iloc[0]["PBBH"]
  1697. CLMC = filtered2.iloc[0]["PBMC"]
  1698. JLDW = filtered2.iloc[0]["DW"]
  1699. YSJG = filtered2.iloc[0]["PBDJ"]
  1700. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1701. clde_["CLMC"] = CLMC
  1702. clde_["JLDW"] = JLDW
  1703. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1704. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1705. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1706. clde.append(clde_)
  1707. 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)
  1708. ##print(filtered)
  1709. 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
  1710. def getSingleDeXilie_sz(debh):
  1711. id = None
  1712. bz_selected = []
  1713. bz_selected2 = []
  1714. if "附注" in debh:
  1715. position = debh.find("附注")
  1716. debh = debh[:position]
  1717. if "*" in debh:
  1718. position = debh.find("*")
  1719. debh = debh[:position]
  1720. if debh.endswith("换"):
  1721. debh = debh[:-1]
  1722. if "[" in debh:
  1723. position = debh.find("[")
  1724. debh = debh[:position-1]
  1725. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1726. filtered = gj[gj["DEBH"]==debh]
  1727. ##print(filtered)
  1728. if len(filtered) > 0:
  1729. index = (filtered.iloc[0]["YSDELBH"])
  1730. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1731. hit = shu[shu["zjh"]==index]
  1732. if len(hit) > 0:
  1733. id = hit.iloc[0]["ID"]
  1734. beizhu = str(filtered.iloc[0]["BZBH"])
  1735. if 'nan' in beizhu:
  1736. pass
  1737. else:
  1738. beizhus = beizhu.split(";")
  1739. ##print(beizhus)
  1740. bzfile = pd.read_csv("de/sz/JD_BeiZhuZK.csv")
  1741. bzfile2 = pd.read_csv("de/sz/JD_BeiZhuFK.csv", dtype=str)
  1742. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1743. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1744. else:
  1745. return None, None, None, None, None, None, None
  1746. ####rengong
  1747. rgde = []
  1748. rg = pd.read_csv("de/sz/JD_GuJiaRG.csv")
  1749. filtered1 = rg[rg["DEBH"]==debh]
  1750. for i in range(len(filtered1)):
  1751. rgde_ = {}
  1752. gr = filtered1.iloc[i]["RGR"]##gongri
  1753. gf = filtered1.iloc[i]["RGF"]##gongfei
  1754. rcjID = filtered1.iloc[i]["RcjID"]
  1755. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1756. filtered2 = detail[detail["RcjID"]==rcjID]
  1757. if len(filtered2) > 0:
  1758. CLBH = filtered2.iloc[0]["CLBH"]
  1759. CLMC = filtered2.iloc[0]["CLMC"]
  1760. JLDW = filtered2.iloc[0]["JLDW"]
  1761. YSJG = filtered2.iloc[0]["YSJG"]
  1762. rgde_["CLBH"] = CLBH
  1763. rgde_["CLMC"] = CLMC
  1764. rgde_["JLDW"] = JLDW
  1765. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1766. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1767. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1768. rgde.append(rgde_)
  1769. ##print(rgde)
  1770. ####jixie
  1771. jxde = []
  1772. jx = pd.read_csv("de/sz/JD_GuJiaJX.csv")
  1773. filtered1 = jx[jx["DEBH"]==debh]
  1774. for i in range(len(filtered1)):
  1775. jxde_ = {}
  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/sz/JD_JiXieK.csv")
  1780. filtered2 = detail[detail["RcjID"]==rcjID]
  1781. if len(filtered2) > 0:
  1782. jxbh = filtered2.iloc[0]["jxbh"]
  1783. jxmc = filtered2.iloc[0]["jxmc"]
  1784. DW = filtered2.iloc[0]["DW"]
  1785. tbdj = filtered2.iloc[0]["tbdj"]
  1786. jxde_["jxbh"] = jxbh
  1787. jxde_["jxmc"] = jxmc
  1788. jxde_["DW"] = DW
  1789. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1790. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1791. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1792. jxde.append(jxde_)
  1793. ####cailiao
  1794. clde = []
  1795. cl = pd.read_csv("de/sz/JD_GuJiaCL.csv")
  1796. filtered1 = cl[cl["DEBH"]==debh]
  1797. for i in range(len(filtered1)):
  1798. clde_ = {}
  1799. SL = filtered1.iloc[i]["SL"]##shuliang
  1800. HJ = filtered1.iloc[i]["HJ"]##hejia
  1801. rcjID = filtered1.iloc[i]["RcjID"]
  1802. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1803. filtered2 = detail[detail["RcjID"]==rcjID]
  1804. if len(filtered2) > 0:
  1805. CLBH = filtered2.iloc[0]["CLBH"]
  1806. CLMC = filtered2.iloc[0]["CLMC"]
  1807. JLDW = filtered2.iloc[0]["JLDW"]
  1808. YSJG = filtered2.iloc[0]["YSJG"]
  1809. clde_["CLBH"] = CLBH
  1810. clde_["CLMC"] = CLMC
  1811. clde_["JLDW"] = JLDW
  1812. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1813. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1814. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1815. clde.append(clde_)
  1816. else:
  1817. detail = pd.read_csv("de/sz/JD_PeiBi.csv")
  1818. filtered2 = detail[detail["RcjID"]==rcjID]
  1819. if len(filtered2) > 0:
  1820. CLBH = filtered2.iloc[0]["PBBH"]
  1821. CLMC = filtered2.iloc[0]["PBMC"]
  1822. JLDW = filtered2.iloc[0]["DW"]
  1823. YSJG = filtered2.iloc[0]["PBDJ"]
  1824. clde_["CLBH"] = CLBH
  1825. clde_["CLMC"] = CLMC
  1826. clde_["JLDW"] = JLDW
  1827. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1828. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1829. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1830. clde.append(clde_)
  1831. 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)
  1832. 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
  1833. def getSingleDeXilie_tj(debh):
  1834. id = None
  1835. bz_selected = []
  1836. bz_selected2 = []
  1837. if "附注" in debh:
  1838. position = debh.find("附注")
  1839. debh = debh[:position]
  1840. if "*" in debh:
  1841. position = debh.find("*")
  1842. debh = debh[:position]
  1843. if debh.endswith("换"):
  1844. debh = debh[:-1]
  1845. if "[" in debh:
  1846. position = debh.find("[")
  1847. debh = debh[:position-1]
  1848. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1849. filtered = gj[gj["DEBH"]==debh]
  1850. ##print(filtered)
  1851. if len(filtered) > 0:
  1852. index = int(filtered.iloc[0]["YSDELBH"])
  1853. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1854. hit = shu[shu["zjh"]==index]
  1855. if len(hit) > 0:
  1856. id = hit.iloc[0]["ID"]
  1857. beizhu = str(filtered.iloc[0]["BZBH"])
  1858. if 'nan' in beizhu:
  1859. pass
  1860. else:
  1861. beizhus = beizhu.split(";")
  1862. ##print(beizhus)
  1863. bzfile = pd.read_csv("de/tj/JD_BeiZhuZK.csv")
  1864. bzfile2 = pd.read_csv("de/tj/JD_BeiZhuFK.csv", dtype=str)
  1865. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1866. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1867. else:
  1868. return None, None, None, None, None, None, None
  1869. ####rengong
  1870. rgde = []
  1871. rg = pd.read_csv("de/tj/JD_GuJiaRG.csv")
  1872. filtered1 = rg[rg["DEBH"]==debh]
  1873. for i in range(len(filtered1)):
  1874. rgde_ = {}
  1875. gr = filtered1.iloc[i]["RGR"]##gongri
  1876. gf = filtered1.iloc[i]["RGF"]##gongfei
  1877. rcjID = filtered1.iloc[i]["RcjID"]
  1878. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1879. filtered2 = detail[detail["RcjID"]==rcjID]
  1880. if len(filtered2) > 0:
  1881. CLBH = filtered2.iloc[0]["CLBH"]
  1882. CLMC = filtered2.iloc[0]["CLMC"]
  1883. JLDW = filtered2.iloc[0]["JLDW"]
  1884. YSJG = filtered2.iloc[0]["YSJG"]
  1885. rgde_["CLBH"] = CLBH
  1886. rgde_["CLMC"] = CLMC
  1887. rgde_["JLDW"] = JLDW
  1888. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1889. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1890. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1891. rgde.append(rgde_)
  1892. ##print(rgde)
  1893. ####jixie
  1894. jxde = []
  1895. jx = pd.read_csv("de/tj/JD_GuJiaJX.csv")
  1896. filtered1 = jx[jx["DEBH"]==debh]
  1897. for i in range(len(filtered1)):
  1898. jxde_ = {}
  1899. sl = filtered1.iloc[i]["SL"]##shuliang
  1900. hj = filtered1.iloc[i]["HJ"]##hejia
  1901. rcjID = filtered1.iloc[i]["RcjID"]
  1902. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  1903. filtered2 = detail[detail["RcjID"]==rcjID]
  1904. if len(filtered2) > 0:
  1905. jxbh = filtered2.iloc[0]["jxbh"]
  1906. jxmc = filtered2.iloc[0]["jxmc"]
  1907. DW = filtered2.iloc[0]["DW"]
  1908. tbdj = filtered2.iloc[0]["tbdj"]
  1909. jxde_["jxbh"] = jxbh
  1910. jxde_["jxmc"] = jxmc
  1911. jxde_["DW"] = DW
  1912. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1913. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1914. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1915. jxde.append(jxde_)
  1916. ####cailiao
  1917. clde = []
  1918. cl = pd.read_csv("de/tj/JD_GuJiaCL.csv")
  1919. filtered1 = cl[cl["DEBH"]==debh]
  1920. for i in range(len(filtered1)):
  1921. clde_ = {}
  1922. SL = filtered1.iloc[i]["SL"]##shuliang
  1923. HJ = filtered1.iloc[i]["HJ"]##hejia
  1924. rcjID = filtered1.iloc[i]["RcjID"]
  1925. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1926. filtered2 = detail[detail["RcjID"]==rcjID]
  1927. if len(filtered2) > 0:
  1928. CLBH = filtered2.iloc[0]["CLBH"]
  1929. CLMC = filtered2.iloc[0]["CLMC"]
  1930. JLDW = filtered2.iloc[0]["JLDW"]
  1931. YSJG = filtered2.iloc[0]["YSJG"]
  1932. clde_["CLBH"] = CLBH
  1933. clde_["CLMC"] = CLMC
  1934. clde_["JLDW"] = JLDW
  1935. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1936. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1937. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1938. clde.append(clde_)
  1939. else:
  1940. detail = pd.read_csv("de/tj/JD_PeiBi.csv")
  1941. filtered2 = detail[detail["RcjID"]==rcjID]
  1942. if len(filtered2) > 0:
  1943. CLBH = filtered2.iloc[0]["PBBH"]
  1944. CLMC = filtered2.iloc[0]["PBMC"]
  1945. JLDW = filtered2.iloc[0]["DW"]
  1946. YSJG = filtered2.iloc[0]["PBDJ"]
  1947. clde_["CLBH"] = CLBH
  1948. clde_["CLMC"] = CLMC
  1949. clde_["JLDW"] = JLDW
  1950. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1951. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1952. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1953. clde.append(clde_)
  1954. 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)
  1955. 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
  1956. def getDwgc(root, id, Zylb):
  1957. result = []
  1958. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  1959. item = None
  1960. for child in root:
  1961. if child.tag == "Dxgcxx":
  1962. for child1 in child:
  1963. Dwgcbh = child1.attrib["Dwgcbh"]
  1964. if Dwgcbh == id:
  1965. item = child1
  1966. break
  1967. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  1968. id = id + "Zylb" + Zylb
  1969. for child in item:
  1970. if child.tag == "Fywj":
  1971. result.append({"id": id + "bao jia hui zong", "label": "报价汇总表"})
  1972. elif child.tag == "Gfsj":
  1973. result.append({"id": id + "gui fei shui jin", "label": "规费税金"})
  1974. elif child.tag == "Qdxm":
  1975. result.append({"id": id + "qing dan xiang mu", "label": "清单项目"})
  1976. elif child.tag == "Csxm":
  1977. result.append({"id": id + "cuo shi xiang mu", "label": "措施项目"})
  1978. elif child.tag == "Qtxm":
  1979. result.append({"id": id +"qi ta xiang mu", "label": "其他项目"})
  1980. elif child.tag == "Zlje":
  1981. result.append({"id": id +"zan lie jin e", "label": "暂列金额"})
  1982. elif child.tag == "Clzg":
  1983. result.append({"id": id +"cai liao zan gu jia", "label": "材料暂估价"})
  1984. elif child.tag == "Zygczg":
  1985. result.append({"id": id + "zhuan ye gong cheng zan gu jia", "label": "专业工程暂估价"})
  1986. elif child.tag == "Jrg":
  1987. result.append({"id": id + "ji ri gong", "label": "计日工"})
  1988. elif child.tag == "Zcbfwf":
  1989. result.append({"id": id + "zong cheng bao fu wu fei", "label": "总承包服务费"})
  1990. elif child.tag == "Zjxmjdkzffj":
  1991. 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"})
  1992. elif child.tag == "Fbrgycl":
  1993. result.append({"id": id + "fa bao ren gong ying cai liao", "label": "发包人供应材料"})
  1994. elif child.tag == "Cbrgycl":
  1995. result.append({"id": id + "cheng bao ren gong ying cai liao", "label": "承包人供应材料"})
  1996. elif child.tag == "Rcjhz":
  1997. result.append({"id": id + "ren cai ji hui zong", "label": "人材机汇总"})
  1998. else:
  1999. print(child.tag)
  2000. print("WARNING####################################################################")
  2001. return result
  2002. def getDjcs(root, id):
  2003. result = []
  2004. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2005. item = None
  2006. for child in root:
  2007. if child.tag == "Dxgcxx":
  2008. for child1 in child:
  2009. Dwgcbh = child1.attrib["Dwgcbh"]
  2010. if Dwgcbh == id:
  2011. item = child1
  2012. break
  2013. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2014. Fywj = None
  2015. for child in item:
  2016. if child.tag == 'Csxm':
  2017. Fywj= child
  2018. break
  2019. Djcs_parent = None
  2020. for child in Fywj:
  2021. if child.tag == 'DjCs':
  2022. Djcs_parent = child
  2023. break
  2024. for child in Djcs_parent:
  2025. ##child is mx {
  2026. result.append({
  2027. "序号": child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  2028. "项目特征" : child.attrib["Xmtz"],
  2029. "计算规则" : child.attrib["Jsgz"], "单位" : child.attrib["Dw"], "数量" : child.attrib["Sl"],
  2030. "综合单价" : child.attrib["Zhdj"], "合价" : child.attrib["Zhhj"], "人工费" : child.attrib["Rgf"],
  2031. "主材费" : child.attrib["Zcf"],
  2032. "设备费" : child.attrib["Sbf"], "辅材费" : child.attrib["Fcf"], "材料费" : child.attrib["Clf"],
  2033. "机械费" : child.attrib["Jxf"], "管理费" : child.attrib["Glf"], "利润" : child.attrib["Lr"],
  2034. "暂估价" : child.attrib["Zgj"], "综合人工工日" : child.attrib["Zgr"] })
  2035. __children = []
  2036. zj_parent = None
  2037. for grandchild in child:
  2038. if grandchild.tag == "Csxdezj":
  2039. zj_parent = grandchild
  2040. if zj_parent:
  2041. for entry in zj_parent:
  2042. key = str(uuid.uuid4())
  2043. entry.set("key", key)
  2044. __children.append({
  2045. "key": key,
  2046. "序号": None, "清单编码": entry.attrib["Debm"], "名称" : entry.attrib["Mc"],
  2047. "项目特征" : None,
  2048. "计算规则" : None, "单位" : entry.attrib["Dw"], "数量" : entry.attrib["DwQdSl"],
  2049. "综合单价" : entry.attrib["Dj"], "合价" : entry.attrib["Hj"], "人工费" : entry.attrib["Rgf"],
  2050. "主材费" : entry.attrib["Zcf"],
  2051. "设备费" : entry.attrib["Sbf"], "辅材费" : entry.attrib["Fcf"], "材料费" : entry.attrib["Clf"],
  2052. "机械费" : entry.attrib["Jxf"], "管理费" : entry.attrib["Glf"], "利润" : entry.attrib["Lr"],
  2053. "暂估价" : None, "综合人工工日" : None })
  2054. if len(__children) > 0:
  2055. result[-1]["__children"] = __children
  2056. return result