service.py 97 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. elif value == 20:
  714. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  715. elif value == 30:
  716. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  717. else:
  718. return []
  719. length = len(shu)
  720. return processPbs(shu, 0, length, 1)
  721. def read_singledexilie_azfy(debh):
  722. id = "None"
  723. if "-F1" in debh:
  724. id = "2076"
  725. elif "-F2" in debh:
  726. id = "2077"
  727. elif "-F3" in debh:
  728. id = "2078"
  729. elif "-F4" in debh:
  730. id = "2079"
  731. elif "-F5" in debh:
  732. if '4-F5' in debh:
  733. id = "2081"
  734. elif '5-F5' in debh:
  735. id = '2082'
  736. elif '7-F5' in debh:
  737. id = '2083'
  738. elif '9-F5' in debh:
  739. id = '2084'
  740. elif '10-F5' in debh:
  741. id = '2085'
  742. elif '11-F5' in debh:
  743. id = '2086'
  744. elif "-F6" in debh:
  745. id = "2087"
  746. r_debh = debh.split("!")[0]
  747. if len(debh.split("!")) == 1:
  748. return json.dumps({
  749. "reverse": id,
  750. "rgde": [],
  751. "jxde": [],
  752. "clde": [],
  753. "actual_zhuanye": 30,
  754. "bz_selected": {"BZBH": {}},
  755. "bz_selected2": {"BZBH": {}}
  756. }, ensure_ascii=False)
  757. gclmc = debh.split("!")[1]
  758. return json.dumps({
  759. "reverse": id,
  760. "DEBH": {"111": r_debh},
  761. "GCLMC": {"111": gclmc},
  762. "DW": {"111": '项'},
  763. "rgde": [],
  764. "jxde": [],
  765. "clde": [],
  766. "actual_zhuanye": 30,
  767. "bz_selected": {"BZBH": {}},
  768. "bz_selected2": {"BZBH": {}}
  769. }, ensure_ascii=False)
  770. def getDeXilie_azfy(value, id):
  771. if int(id) == 2075 or int(id) == 2080:
  772. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  773. if int(id) == 2076:
  774. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项", "项", "项", "项", "项", "项"],
  775. 'DEBH': ['2-F1', '2-F1', '3-F1', '3-F1', '4-F1',
  776. '5-F1', '6-F1', '7-F1', '8-F1', '9-F1', '10-F1', '11-F1', '11-F1', '11-F1', '11-F1', '11-F1'],
  777. "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)",
  778. "第三册除静置设备制作以外(定额3-616~3-9999)", "第四册",
  779. "第五册", "第六册", "第七册", "第八册", "第九册", "第十册",
  780. "第十一册刷油工程(定额11-51~11-329)",
  781. "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"],
  782. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  783. df = pd.DataFrame(data)
  784. return df.to_json(force_ascii=False)
  785. if int(id) == 2077:
  786. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项','项','项',
  787. '项','项','项','项','项','项','项','项','项','项',
  788. '项','项','项',
  789. '项','项', "项",'项','项','项','项', "项",'项', "项"],
  790. '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',
  791. '4-F2', '5-F2', '5-F2', '5-F2','6-F2',
  792. '7-F2', '9-F2','9-F2','9-F2','9-F2', '10-F2','10-F2','10-F2','10-F2',
  793. '11-F2','11-F2','11-F2','11-F2', '11-F2','11-F2','11-F2' ],
  794. "GCLMC": ["第一册第1-6章(定额1-1~1-571)10-15m",
  795. "第一册第1-6章(定额1-1~1-571)15-20m",
  796. "第一册第1-6章(定额1-1~1-571)20-25m",
  797. "第一册第1-6章(定额1-1~1-571)25-30m",
  798. "第一册第1-6章(定额1-1~1-571)30-40m",
  799. "第一册第1-6章(定额1-1~1-571)40m以上",
  800. "第一册第8-14章(定额1-672~1-9999)10-15m",
  801. "第一册第8-14章(定额1-672~1-9999)15-20m",
  802. "第一册第8-14章(定额1-672~1-9999)20-25m",
  803. "第一册第8-14章(定额1-672~1-9999)25-30m",
  804. "第一册第8-14章(定额1-672~1-9999)30-40m",
  805. "第一册第8-14章(定额1-672~1-9999)40m以上",
  806. "第四册",
  807. "第五册5m以上到10m以内",
  808. "第五册10-20m",
  809. "第五册20m以上",
  810. "第六册", "第七册",
  811. "第九册5m以上到8m以内",
  812. "第九册8-12m",
  813. "第九册12-16m",
  814. "第九册16-20m",
  815. "第十册3.6-8m以内",
  816. "第十册8-12m以内",
  817. "第十册12-16m以内",
  818. "第十册16-20m",
  819. "第十一册6-20m",
  820. "第十一册20-30m",
  821. "第十一册30-40m",
  822. "第十一册40-50m",
  823. "第十一册50-60m",
  824. "第十一册60-70m",
  825. "第十一册80m以上",
  826. ],
  827. "GCLSJDJ": ["0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  828. "0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  829. "0","0", "0",
  830. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  831. df = pd.DataFrame(data)
  832. return df.to_json(force_ascii=False)
  833. if int(id) == 2078:
  834. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  835. 'DEBH': ['1-F3', '1-F3', '2-F3', '3-F3', '4-F3',
  836. '5-F3', '6-F3', '7-F3', '8-F3', '9-F3', '11-F3'],
  837. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  838. "第三册", "第四册",
  839. "第五册", "第六册", "第七册", "第八册", "第九册",
  840. "第十一册", ],
  841. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  842. df = pd.DataFrame(data)
  843. return df.to_json(force_ascii=False)
  844. if int(id) == 2079:
  845. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  846. 'DEBH': ['1-F4', '1-F4', '2-F4', '3-F4', '4-F4',
  847. '5-F4', '6-F4', '7-F4', '8-F4', '9-F4', '11-F4'],
  848. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  849. "第三册", "第四册",
  850. "第五册", "第六册", "第七册", "第八册", "第九册",
  851. "第十一册", ],
  852. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  853. df = pd.DataFrame(data)
  854. return df.to_json(force_ascii=False)
  855. if int(id) == 2081:
  856. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  857. "项", '项', '项', '项', '项', "项", "项", "项"],
  858. 'DEBH': ['4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5',
  859. '4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5','4-F5', '4-F5'],
  860. "GCLMC": ["9层或30m以内",
  861. "12层或40m以内",
  862. "15层或50m以内",
  863. "18层或60m以内",
  864. "21层或70m以内",
  865. "24层或80m以内",
  866. "27层或90m以内",
  867. "30层或100m以内",
  868. "33层或110m以内",
  869. "36层或120m以内",
  870. "40层或130m以内",
  871. "42层或140m以内",
  872. "45层或150m以内",
  873. "48层或160m以内",
  874. "51层或170m以内",
  875. "54层或180m以内",
  876. "57层或190m以内",
  877. "60层或200m以内",
  878. ],
  879. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  880. "0", "0", "0", "0", "0", "0", "0", "0"]}
  881. df = pd.DataFrame(data)
  882. return df.to_json(force_ascii=False)
  883. if int(id) == 2082:
  884. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  885. "项", '项', '项', '项', '项', "项", "项", "项"],
  886. 'DEBH': ['5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5',
  887. '5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5','5-F5', '5-F5'],
  888. "GCLMC": ["9层或30m以内",
  889. "12层或40m以内",
  890. "15层或50m以内",
  891. "18层或60m以内",
  892. "21层或70m以内",
  893. "24层或80m以内",
  894. "27层或90m以内",
  895. "30层或100m以内",
  896. "33层或110m以内",
  897. "36层或120m以内",
  898. "40层或130m以内",
  899. "42层或140m以内",
  900. "45层或150m以内",
  901. "48层或160m以内",
  902. "51层或170m以内",
  903. "54层或180m以内",
  904. "57层或190m以内",
  905. "60层或200m以内",
  906. ],
  907. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  908. "0", "0", "0", "0", "0", "0", "0", "0"]}
  909. df = pd.DataFrame(data)
  910. return df.to_json(force_ascii=False)
  911. if int(id) == 2083:
  912. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  913. "项", '项', '项', '项', '项', "项", "项", "项"],
  914. 'DEBH': ['7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5',
  915. '7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5','7-F5', '7-F5'],
  916. "GCLMC": ["9层或30m以内",
  917. "12层或40m以内",
  918. "15层或50m以内",
  919. "18层或60m以内",
  920. "21层或70m以内",
  921. "24层或80m以内",
  922. "27层或90m以内",
  923. "30层或100m以内",
  924. "33层或110m以内",
  925. "36层或120m以内",
  926. "40层或130m以内",
  927. "42层或140m以内",
  928. "45层或150m以内",
  929. "48层或160m以内",
  930. "51层或170m以内",
  931. "54层或180m以内",
  932. "57层或190m以内",
  933. "60层或200m以内",
  934. ],
  935. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  936. "0", "0", "0", "0", "0", "0", "0", "0"]}
  937. df = pd.DataFrame(data)
  938. return df.to_json(force_ascii=False)
  939. if int(id) == 2084:
  940. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  941. "项", '项', '项', '项', '项', "项", "项", "项"],
  942. 'DEBH': ['9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5',
  943. '9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5','9-F5', '9-F5'],
  944. "GCLMC": ["9层或30m以内",
  945. "12层或40m以内",
  946. "15层或50m以内",
  947. "18层或60m以内",
  948. "21层或70m以内",
  949. "24层或80m以内",
  950. "27层或90m以内",
  951. "30层或100m以内",
  952. "33层或110m以内",
  953. "36层或120m以内",
  954. "40层或130m以内",
  955. "42层或140m以内",
  956. "45层或150m以内",
  957. "48层或160m以内",
  958. "51层或170m以内",
  959. "54层或180m以内",
  960. "57层或190m以内",
  961. "60层或200m以内",
  962. ],
  963. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  964. "0", "0", "0", "0", "0", "0", "0", "0"]}
  965. df = pd.DataFrame(data)
  966. return df.to_json(force_ascii=False)
  967. if int(id) == 2085:
  968. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  969. "项", '项', '项', '项', '项', "项", "项", "项"],
  970. 'DEBH': ['10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5',
  971. '10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5','10-F5', '10-F5'],
  972. "GCLMC": ["9层或30m以内",
  973. "12层或40m以内",
  974. "15层或50m以内",
  975. "18层或60m以内",
  976. "21层或70m以内",
  977. "24层或80m以内",
  978. "27层或90m以内",
  979. "30层或100m以内",
  980. "33层或110m以内",
  981. "36层或120m以内",
  982. "40层或130m以内",
  983. "42层或140m以内",
  984. "45层或150m以内",
  985. "48层或160m以内",
  986. "51层或170m以内",
  987. "54层或180m以内",
  988. "57层或190m以内",
  989. "60层或200m以内",
  990. ],
  991. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  992. "0", "0", "0", "0", "0", "0", "0", "0"]}
  993. df = pd.DataFrame(data)
  994. return df.to_json(force_ascii=False)
  995. if int(id) == 2086:
  996. data = {'DW': ['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', '项', '项', '项', '项', '项', '项', "项", "项",
  1000. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1001. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1002. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1003. "项", '项'],
  1004. 'DEBH': ['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. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1009. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1010. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1011. '11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5','11-F5', '11-F5',
  1012. ],
  1013. "GCLMC": [
  1014. "(按通风空调工程)9层或30m以内",
  1015. "(按通风空调工程)12层或40m以内",
  1016. "(按通风空调工程)15层或50m以内",
  1017. "(按通风空调工程)18层或60m以内",
  1018. "(按通风空调工程)21层或70m以内",
  1019. "(按通风空调工程)24层或80m以内",
  1020. "(按通风空调工程)27层或90m以内",
  1021. "(按通风空调工程)30层或100m以内",
  1022. "(按通风空调工程)33层或110m以内",
  1023. "(按通风空调工程)36层或120m以内",
  1024. "(按通风空调工程)40层或130m以内",
  1025. "(按通风空调工程)42层或140m以内",
  1026. "(按通风空调工程)45层或150m以内",
  1027. "(按通风空调工程)48层或160m以内",
  1028. "(按通风空调工程)51层或170m以内",
  1029. "(按通风空调工程)54层或180m以内",
  1030. "(按通风空调工程)57层或190m以内",
  1031. "(按通风空调工程)60层或200m以内",
  1032. ############################
  1033. "(按消防工程)9层或30m以内",
  1034. "(按消防工程)12层或40m以内",
  1035. "(按消防工程)15层或50m以内",
  1036. "(按消防工程)18层或60m以内",
  1037. "(按消防工程)21层或70m以内",
  1038. "(按消防工程)24层或80m以内",
  1039. "(按消防工程)27层或90m以内",
  1040. "(按消防工程)30层或100m以内",
  1041. "(按消防工程)33层或110m以内",
  1042. "(按消防工程)36层或120m以内",
  1043. "(按消防工程)40层或130m以内",
  1044. "(按消防工程)42层或140m以内",
  1045. "(按消防工程)45层或150m以内",
  1046. "(按消防工程)48层或160m以内",
  1047. "(按消防工程)51层或170m以内",
  1048. "(按消防工程)54层或180m以内",
  1049. "(按消防工程)57层或190m以内",
  1050. "(按消防工程)60层或200m以内",
  1051. ############################
  1052. "(按给排水、采暖工程)9层或30m以内",
  1053. "(按给排水、采暖工程)12层或40m以内",
  1054. "(按给排水、采暖工程)15层或50m以内",
  1055. "(按给排水、采暖工程)18层或60m以内",
  1056. "(按给排水、采暖工程)21层或70m以内",
  1057. "(按给排水、采暖工程)24层或80m以内",
  1058. "(按给排水、采暖工程)27层或90m以内",
  1059. "(按给排水、采暖工程)30层或100m以内",
  1060. "(按给排水、采暖工程)33层或110m以内",
  1061. "(按给排水、采暖工程)36层或120m以内",
  1062. "(按给排水、采暖工程)40层或130m以内",
  1063. "(按给排水、采暖工程)42层或140m以内",
  1064. "(按给排水、采暖工程)45层或150m以内",
  1065. "(按给排水、采暖工程)48层或160m以内",
  1066. "(按给排水、采暖工程)51层或170m以内",
  1067. "(按给排水、采暖工程)54层或180m以内",
  1068. "(按给排水、采暖工程)57层或190m以内",
  1069. "(按给排水、采暖工程)60层或200m以内",
  1070. ############################
  1071. "(按电气工程)9层或30m以内",
  1072. "(按电气工程)12层或40m以内",
  1073. "(按电气工程)15层或50m以内",
  1074. "(按电气工程)18层或60m以内",
  1075. "(按电气工程)21层或70m以内",
  1076. "(按电气工程)24层或80m以内",
  1077. "(按电气工程)27层或90m以内",
  1078. "(按电气工程)30层或100m以内",
  1079. "(按电气工程)33层或110m以内",
  1080. "(按电气工程)36层或120m以内",
  1081. "(按电气工程)40层或130m以内",
  1082. "(按电气工程)42层或140m以内",
  1083. "(按电气工程)45层或150m以内",
  1084. "(按电气工程)48层或160m以内",
  1085. "(按电气工程)51层或170m以内",
  1086. "(按电气工程)54层或180m以内",
  1087. "(按电气工程)57层或190m以内",
  1088. "(按电气工程)60层或200m以内",
  1089. ],
  1090. "GCLSJDJ": ["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", "0", "0", "0", "0", "0", "0", "0", "0",
  1094. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1095. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1096. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1097. "0", "0" ]}
  1098. df = pd.DataFrame(data)
  1099. return df.to_json(force_ascii=False)
  1100. if int(id) == 2087:
  1101. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项"],
  1102. 'DEBH': ['1-F6', '3-F6', '4-F6', '7-F6', '8-F6',
  1103. '10-F6', '10-F6', '10-F6', '11-F6'],
  1104. "GCLMC": ["第一册 站内工艺系统",
  1105. "第三册 站内工艺系统", "第四册 站内工艺系统",
  1106. "第七册", "第八册 站内工艺系统",
  1107. "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" ],
  1108. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1109. df = pd.DataFrame(data)
  1110. return df.to_json(force_ascii=False)
  1111. def getDeXilie(value, id):
  1112. print(type(id))
  1113. if value == 10:
  1114. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1115. elif value == 20:
  1116. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1117. elif value == 30:
  1118. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1119. elif value == 40:
  1120. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1121. elif value == 50:
  1122. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1123. else:
  1124. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1125. hit = shu[shu["ID"]==int(id)]
  1126. print(hit)
  1127. if len(hit) == 0:
  1128. return []
  1129. hit0 = hit.iloc[0]
  1130. index = str(hit0['zjh'])
  1131. print("index=" + index)
  1132. if value == 10:
  1133. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1134. filtered = gj[gj["YSDELBH"]==int(index)]
  1135. elif value == 20:
  1136. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1137. filtered = gj[gj["YSDELBH"]==(index)]
  1138. elif value == 30:
  1139. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1140. filtered = gj[gj["YSDELBH"]==(index)]
  1141. elif value == 40:
  1142. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1143. filtered = gj[gj["YSDELBH"]==int(index)]
  1144. elif value == 50:
  1145. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1146. filtered = gj[gj["YSDELBH"]==int(index)]
  1147. else:
  1148. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1149. filtered = gj[gj["YSDELBH"]==int(index)]
  1150. 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)
  1151. return filtered.to_json(force_ascii=False)
  1152. def getQufei(name):
  1153. if name == "0":
  1154. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1155. return gj.to_json(force_ascii=False)
  1156. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1157. hit = shu[shu["ID"]==int(name)]
  1158. print(hit)
  1159. if len(hit) == 0:
  1160. return []
  1161. hit0 = hit.iloc[0]
  1162. index = str(hit0['pblbh'])
  1163. index_list = index.split(";")
  1164. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1165. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1166. return filtered.to_json(force_ascii=False)
  1167. def getPbxl(name, zhuanye):
  1168. if name == "0":
  1169. if zhuanye == 10:
  1170. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1171. elif zhuanye == 20:
  1172. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1173. elif zhuanye == 30:
  1174. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1175. elif zhuanye == 40:
  1176. gj = pd.read_csv("de/yl/JD_PeiBi.csv")
  1177. elif zhuanye == 50:
  1178. gj = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1179. elif zhuanye == 60:
  1180. gj = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1181. return gj.to_json(force_ascii=False)
  1182. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1183. hit = shu[shu["ID"]==int(name)]
  1184. print(hit)
  1185. if len(hit) == 0:
  1186. return []
  1187. hit0 = hit.iloc[0]
  1188. index = str(hit0['pblbh'])
  1189. index_list = index.split(";")
  1190. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1191. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1192. return filtered.to_json(force_ascii=False)
  1193. def getSingleDeXilie(zhuanye, debh):
  1194. if zhuanye == 10:
  1195. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1196. if A1:
  1197. return A1, A2, A3, A4, A5, A6, A7, 10
  1198. else:
  1199. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1200. return A1, A2, A3, A4,A5, A6, A7, 20
  1201. elif zhuanye == 20:##shizheng
  1202. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1203. if A1:
  1204. return A1, A2, A3, A4, A5, A6, A7, 20
  1205. else:
  1206. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1207. if A1:
  1208. return A1, A2, A3, A4, A5, A6, A7, 10
  1209. else:
  1210. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1211. return A1, A2, A3, A4, A5, A6, A7, 30
  1212. elif zhuanye == 30:##anzhuang
  1213. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1214. return A1, A2, A3, A4, A5, A6, A7, 30
  1215. elif zhuanye == 40:##yuanlin
  1216. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_yl(debh)
  1217. return A1, A2, A3, A4, A5, A6, A7, 40
  1218. elif zhuanye == 50: ## xiushan tujian
  1219. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xstj(debh)
  1220. if A1:
  1221. return A1, A2, A3, A4, A5, A6, A7, 50
  1222. else:
  1223. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1224. return A1, A2, A3, A4,A5, A6, A7, 10
  1225. else:
  1226. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xsaz(debh)
  1227. if A1:
  1228. return A1, A2, A3, A4, A5, A6, A7, 60
  1229. else:
  1230. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1231. return A1, A2, A3, A4,A5, A6, A7, 30
  1232. def getSingleDeXilie_xsaz(debh):
  1233. id = None
  1234. bz_selected = []
  1235. bz_selected2 = []
  1236. if "附注" in debh:
  1237. position = debh.find("附注")
  1238. debh = debh[:position]
  1239. if "*" in debh:
  1240. position = debh.find("*")
  1241. debh = debh[:position]
  1242. if debh.endswith("换"):
  1243. debh = debh[:-1]
  1244. if "[" in debh:
  1245. position = debh.find("[")
  1246. debh = debh[:position-1]
  1247. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1248. filtered = gj[gj["DEBH"]==debh]
  1249. ##print(filtered)
  1250. if len(filtered) > 0:
  1251. index = (filtered.iloc[0]["YSDELBH"])
  1252. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1253. hit = shu[shu["zjh"]==index]
  1254. if len(hit) > 0:
  1255. id = hit.iloc[0]["ID"]
  1256. beizhu = str(filtered.iloc[0]["BZBH"])
  1257. if 'nan' in beizhu:
  1258. pass
  1259. else:
  1260. beizhus = beizhu.split(";")
  1261. ##print(beizhus)
  1262. bzfile = pd.read_csv("de/xsaz/JD_BeiZhuZK.csv")
  1263. bzfile2 = pd.read_csv("de/xsaz/JD_BeiZhuFK.csv", dtype=str)
  1264. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1265. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1266. else:
  1267. return None, None, None, None, None, None, None
  1268. ####rengong
  1269. rgde = []
  1270. rg = pd.read_csv("de/xsaz/JD_GuJiaRG.csv")
  1271. filtered1 = rg[rg["DEBH"]==debh]
  1272. for i in range(len(filtered1)):
  1273. rgde_ = {}
  1274. gr = filtered1.iloc[i]["RGR"]##gongri
  1275. gf = filtered1.iloc[i]["RGF"]##gongfei
  1276. rcjID = filtered1.iloc[i]["RcjID"]
  1277. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1278. filtered2 = detail[detail["RcjID"]==rcjID]
  1279. if len(filtered2) > 0:
  1280. CLBH = filtered2.iloc[0]["CLBH"]
  1281. CLMC = filtered2.iloc[0]["CLMC"]
  1282. JLDW = filtered2.iloc[0]["JLDW"]
  1283. YSJG = filtered2.iloc[0]["YSJG"]
  1284. rgde_["CLBH"] = CLBH
  1285. rgde_["CLMC"] = CLMC
  1286. rgde_["JLDW"] = JLDW
  1287. rgde_["YSJG"] = YSJG.item()
  1288. rgde_["gr"] = gr.item()
  1289. rgde_["gf"] = gf.item()
  1290. rgde.append(rgde_)
  1291. ##print(rgde)
  1292. ####jixie
  1293. jxde = []
  1294. jx = pd.read_csv("de/xsaz/JD_GuJiaJX.csv")
  1295. filtered1 = jx[jx["DEBH"]==debh]
  1296. for i in range(len(filtered1)):
  1297. jxde_ = {}
  1298. sl = filtered1.iloc[i]["SL"]##shuliang
  1299. hj = filtered1.iloc[i]["HJ"]##hejia
  1300. rcjID = filtered1.iloc[i]["RcjID"]
  1301. detail = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1302. filtered2 = detail[detail["RcjID"]==rcjID]
  1303. if len(filtered2) > 0:
  1304. jxbh = filtered2.iloc[0]["jxbh"]
  1305. jxmc = filtered2.iloc[0]["jxmc"]
  1306. DW = filtered2.iloc[0]["DW"]
  1307. tbdj = filtered2.iloc[0]["tbdj"]
  1308. jxde_["jxbh"] = jxbh
  1309. jxde_["jxmc"] = jxmc
  1310. jxde_["DW"] = DW
  1311. jxde_["tbdj"] = tbdj.item()
  1312. jxde_["sl"] = sl.item()
  1313. jxde_["hj"] = hj.item()
  1314. jxde.append(jxde_)
  1315. ####cailiao
  1316. clde = []
  1317. cl = pd.read_csv("de/xsaz/JD_GuJiaCL.csv")
  1318. filtered1 = cl[cl["DEBH"]==debh]
  1319. for i in range(len(filtered1)):
  1320. clde_ = {}
  1321. SL = filtered1.iloc[i]["SL"]##shuliang
  1322. HJ = filtered1.iloc[i]["HJ"]##hejia
  1323. rcjID = filtered1.iloc[i]["RcjID"]
  1324. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1325. filtered2 = detail[detail["RcjID"]==rcjID]
  1326. if len(filtered2) > 0:
  1327. CLBH = filtered2.iloc[0]["CLBH"]
  1328. CLMC = filtered2.iloc[0]["CLMC"]
  1329. JLDW = filtered2.iloc[0]["JLDW"]
  1330. YSJG = filtered2.iloc[0]["YSJG"]
  1331. clde_["CLBH"] = CLBH
  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. else:
  1339. detail = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1340. filtered2 = detail[detail["RcjID"]==rcjID]
  1341. if len(filtered2) > 0:
  1342. CLBH = filtered2.iloc[0]["PBBH"]
  1343. CLMC = filtered2.iloc[0]["PBMC"]
  1344. JLDW = filtered2.iloc[0]["DW"]
  1345. YSJG = filtered2.iloc[0]["PBDJ"]
  1346. clde_["CLBH"] = CLBH.item()
  1347. clde_["CLMC"] = CLMC
  1348. clde_["JLDW"] = JLDW
  1349. clde_["YSJG"] = YSJG.item()
  1350. clde_["SL"] = SL.item()
  1351. clde_["HJ"] = HJ.item()
  1352. clde.append(clde_)
  1353. 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)
  1354. 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
  1355. def getSingleDeXilie_xstj(debh):
  1356. id = None
  1357. bz_selected = []
  1358. bz_selected2 = []
  1359. if "附注" in debh:
  1360. position = debh.find("附注")
  1361. debh = debh[:position]
  1362. if "*" in debh:
  1363. position = debh.find("*")
  1364. debh = debh[:position]
  1365. if debh.endswith("换"):
  1366. debh = debh[:-1]
  1367. if "[" in debh:
  1368. position = debh.find("[")
  1369. debh = debh[:position-1]
  1370. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1371. filtered = gj[gj["DEBH"]==debh]
  1372. ##print(filtered)
  1373. if len(filtered) > 0:
  1374. index = (filtered.iloc[0]["YSDELBH"])
  1375. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1376. hit = shu[shu["zjh"]==index]
  1377. if len(hit) > 0:
  1378. id = hit.iloc[0]["ID"]
  1379. beizhu = str(filtered.iloc[0]["BZBH"])
  1380. if 'nan' in beizhu:
  1381. pass
  1382. else:
  1383. beizhus = beizhu.split(";")
  1384. ##print(beizhus)
  1385. bzfile = pd.read_csv("de/xstj/JD_BeiZhuZK.csv")
  1386. bzfile2 = pd.read_csv("de/xstj/JD_BeiZhuFK.csv", dtype=str)
  1387. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1388. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1389. else:
  1390. return None, None, None, None, None, None, None
  1391. ####rengong
  1392. rgde = []
  1393. rg = pd.read_csv("de/xstj/JD_GuJiaRG.csv")
  1394. filtered1 = rg[rg["DEBH"]==debh]
  1395. for i in range(len(filtered1)):
  1396. rgde_ = {}
  1397. gr = filtered1.iloc[i]["RGR"]##gongri
  1398. gf = filtered1.iloc[i]["RGF"]##gongfei
  1399. rcjID = filtered1.iloc[i]["RcjID"]
  1400. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1401. filtered2 = detail[detail["RcjID"]==rcjID]
  1402. if len(filtered2) > 0:
  1403. CLBH = filtered2.iloc[0]["CLBH"]
  1404. CLMC = filtered2.iloc[0]["CLMC"]
  1405. JLDW = filtered2.iloc[0]["JLDW"]
  1406. YSJG = filtered2.iloc[0]["YSJG"]
  1407. rgde_["CLBH"] = CLBH
  1408. rgde_["CLMC"] = CLMC
  1409. rgde_["JLDW"] = JLDW
  1410. rgde_["YSJG"] = YSJG.item()
  1411. rgde_["gr"] = gr.item()
  1412. rgde_["gf"] = gf.item()
  1413. rgde.append(rgde_)
  1414. ##print(rgde)
  1415. ####jixie
  1416. jxde = []
  1417. jx = pd.read_csv("de/xstj/JD_GuJiaJX.csv")
  1418. filtered1 = jx[jx["DEBH"]==debh]
  1419. for i in range(len(filtered1)):
  1420. jxde_ = {}
  1421. sl = filtered1.iloc[i]["SL"]##shuliang
  1422. hj = filtered1.iloc[i]["HJ"]##hejia
  1423. rcjID = filtered1.iloc[i]["RcjID"]
  1424. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1425. filtered2 = detail[detail["RcjID"]==rcjID]
  1426. if len(filtered2) > 0:
  1427. jxbh = filtered2.iloc[0]["jxbh"]
  1428. jxmc = filtered2.iloc[0]["jxmc"]
  1429. DW = filtered2.iloc[0]["DW"]
  1430. tbdj = filtered2.iloc[0]["tbdj"]
  1431. jxde_["jxbh"] = jxbh
  1432. jxde_["jxmc"] = jxmc
  1433. jxde_["DW"] = DW
  1434. jxde_["tbdj"] = tbdj.item()
  1435. jxde_["sl"] = sl.item()
  1436. jxde_["hj"] = hj.item()
  1437. jxde.append(jxde_)
  1438. ####cailiao
  1439. clde = []
  1440. cl = pd.read_csv("de/xstj/JD_GuJiaCL.csv")
  1441. filtered1 = cl[cl["DEBH"]==debh]
  1442. for i in range(len(filtered1)):
  1443. clde_ = {}
  1444. SL = filtered1.iloc[i]["SL"]##shuliang
  1445. HJ = filtered1.iloc[i]["HJ"]##hejia
  1446. rcjID = filtered1.iloc[i]["RcjID"]
  1447. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1448. filtered2 = detail[detail["RcjID"]==rcjID]
  1449. if len(filtered2) > 0:
  1450. CLBH = filtered2.iloc[0]["CLBH"]
  1451. CLMC = filtered2.iloc[0]["CLMC"]
  1452. JLDW = filtered2.iloc[0]["JLDW"]
  1453. YSJG = filtered2.iloc[0]["YSJG"]
  1454. clde_["CLBH"] = CLBH
  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. else:
  1462. detail = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1463. filtered2 = detail[detail["RcjID"]==rcjID]
  1464. if len(filtered2) > 0:
  1465. CLBH = filtered2.iloc[0]["PBBH"]
  1466. CLMC = filtered2.iloc[0]["PBMC"]
  1467. JLDW = filtered2.iloc[0]["DW"]
  1468. YSJG = filtered2.iloc[0]["PBDJ"]
  1469. clde_["CLBH"] = CLBH.item()
  1470. clde_["CLMC"] = CLMC
  1471. clde_["JLDW"] = JLDW
  1472. clde_["YSJG"] = YSJG.item()
  1473. clde_["SL"] = SL.item()
  1474. clde_["HJ"] = HJ.item()
  1475. clde.append(clde_)
  1476. 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)
  1477. 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
  1478. def getSingleDeXilie_yl(debh):
  1479. id = None
  1480. bz_selected = []
  1481. bz_selected2 = []
  1482. if "附注" in debh:
  1483. position = debh.find("附注")
  1484. debh = debh[:position]
  1485. if "*" in debh:
  1486. position = debh.find("*")
  1487. debh = debh[:position]
  1488. if debh.endswith("换"):
  1489. debh = debh[:-1]
  1490. if "[" in debh:
  1491. position = debh.find("[")
  1492. debh = debh[:position-1]
  1493. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1494. filtered = gj[gj["DEBH"]==debh]
  1495. ##print(filtered)
  1496. if len(filtered) > 0:
  1497. index = (filtered.iloc[0]["YSDELBH"])
  1498. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1499. hit = shu[shu["zjh"]==index]
  1500. if len(hit) > 0:
  1501. id = hit.iloc[0]["ID"]
  1502. beizhu = str(filtered.iloc[0]["BZBH"])
  1503. if 'nan' in beizhu:
  1504. pass
  1505. else:
  1506. beizhus = beizhu.split(";")
  1507. ##print(beizhus)
  1508. bzfile = pd.read_csv("de/yl/JD_BeiZhuZK.csv")
  1509. bzfile2 = pd.read_csv("de/yl/JD_BeiZhuFK.csv", dtype=str)
  1510. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1511. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1512. else:
  1513. return None, None, None, None, None, None, None
  1514. ####rengong
  1515. rgde = []
  1516. rg = pd.read_csv("de/yl/JD_GuJiaRG.csv")
  1517. filtered1 = rg[rg["DEBH"]==debh]
  1518. for i in range(len(filtered1)):
  1519. rgde_ = {}
  1520. gr = filtered1.iloc[i]["RGR"]##gongri
  1521. gf = filtered1.iloc[i]["RGF"]##gongfei
  1522. rcjID = filtered1.iloc[i]["RcjID"]
  1523. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1524. filtered2 = detail[detail["RcjID"]==rcjID]
  1525. if len(filtered2) > 0:
  1526. CLBH = filtered2.iloc[0]["CLBH"]
  1527. CLMC = filtered2.iloc[0]["CLMC"]
  1528. JLDW = filtered2.iloc[0]["JLDW"]
  1529. YSJG = filtered2.iloc[0]["YSJG"]
  1530. rgde_["CLBH"] = CLBH
  1531. rgde_["CLMC"] = CLMC
  1532. rgde_["JLDW"] = JLDW
  1533. rgde_["YSJG"] = YSJG.item()
  1534. rgde_["gr"] = gr.item()
  1535. rgde_["gf"] = gf.item()
  1536. rgde.append(rgde_)
  1537. ##print(rgde)
  1538. ####jixie
  1539. jxde = []
  1540. jx = pd.read_csv("de/yl/JD_GuJiaJX.csv")
  1541. filtered1 = jx[jx["DEBH"]==debh]
  1542. for i in range(len(filtered1)):
  1543. jxde_ = {}
  1544. sl = filtered1.iloc[i]["SL"]##shuliang
  1545. hj = filtered1.iloc[i]["HJ"]##hejia
  1546. rcjID = filtered1.iloc[i]["RcjID"]
  1547. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1548. filtered2 = detail[detail["RcjID"]==rcjID]
  1549. if len(filtered2) > 0:
  1550. jxbh = filtered2.iloc[0]["jxbh"]
  1551. jxmc = filtered2.iloc[0]["jxmc"]
  1552. DW = filtered2.iloc[0]["DW"]
  1553. tbdj = filtered2.iloc[0]["tbdj"]
  1554. jxde_["jxbh"] = jxbh
  1555. jxde_["jxmc"] = jxmc
  1556. jxde_["DW"] = DW
  1557. jxde_["tbdj"] = tbdj.item()
  1558. jxde_["sl"] = sl.item()
  1559. jxde_["hj"] = hj.item()
  1560. jxde.append(jxde_)
  1561. ####cailiao
  1562. clde = []
  1563. cl = pd.read_csv("de/yl/JD_GuJiaCL.csv")
  1564. filtered1 = cl[cl["DEBH"]==debh]
  1565. for i in range(len(filtered1)):
  1566. clde_ = {}
  1567. SL = filtered1.iloc[i]["SL"]##shuliang
  1568. HJ = filtered1.iloc[i]["HJ"]##hejia
  1569. rcjID = filtered1.iloc[i]["RcjID"]
  1570. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1571. filtered2 = detail[detail["RcjID"]==rcjID]
  1572. if len(filtered2) > 0:
  1573. CLBH = filtered2.iloc[0]["CLBH"]
  1574. CLMC = filtered2.iloc[0]["CLMC"]
  1575. JLDW = filtered2.iloc[0]["JLDW"]
  1576. YSJG = filtered2.iloc[0]["YSJG"]
  1577. clde_["CLBH"] = CLBH
  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. else:
  1585. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  1586. filtered2 = detail[detail["RcjID"]==rcjID]
  1587. if len(filtered2) > 0:
  1588. CLBH = filtered2.iloc[0]["PBBH"]
  1589. CLMC = filtered2.iloc[0]["PBMC"]
  1590. JLDW = filtered2.iloc[0]["DW"]
  1591. YSJG = filtered2.iloc[0]["PBDJ"]
  1592. clde_["CLBH"] = CLBH.item()
  1593. clde_["CLMC"] = CLMC
  1594. clde_["JLDW"] = JLDW
  1595. clde_["YSJG"] = YSJG.item()
  1596. clde_["SL"] = SL.item()
  1597. clde_["HJ"] = HJ.item()
  1598. clde.append(clde_)
  1599. 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)
  1600. 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
  1601. def getSingleDeXilie_az(debh):
  1602. id = None
  1603. bz_selected = []
  1604. bz_selected2 = []
  1605. if "附注" in debh:
  1606. position = debh.find("附注")
  1607. debh = debh[:position]
  1608. if "*" in debh:
  1609. position = debh.find("*")
  1610. debh = debh[:position]
  1611. if debh.endswith("换"):
  1612. debh = debh[:-1]
  1613. if "[" in debh:
  1614. position = debh.find("[")
  1615. debh = debh[:position-1]
  1616. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1617. filtered = gj[gj["DEBH"]==debh]
  1618. ##print(filtered)
  1619. if len(filtered) > 0:
  1620. index = (filtered.iloc[0]["YSDELBH"])
  1621. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1622. hit = shu[shu["zjh"]==index]
  1623. if len(hit) > 0:
  1624. id = hit.iloc[0]["ID"]
  1625. beizhu = str(filtered.iloc[0]["BZBH"])
  1626. if 'nan' in beizhu:
  1627. pass
  1628. else:
  1629. beizhus = beizhu.split(";")
  1630. ##print(beizhus)
  1631. bzfile = pd.read_csv("de/az/JD_BeiZhuZK.csv")
  1632. bzfile2 = pd.read_csv("de/az/JD_BeiZhuFK.csv", dtype=str)
  1633. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1634. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1635. else:
  1636. return None, None, None, None, None, None, None
  1637. ####rengong
  1638. rgde = []
  1639. rg = pd.read_csv("de/az/JD_GuJiaRG.csv")
  1640. filtered1 = rg[rg["DEBH"]==debh]
  1641. for i in range(len(filtered1)):
  1642. rgde_ = {}
  1643. gr = filtered1.iloc[i]["RGR"]##gongri
  1644. gf = filtered1.iloc[i]["RGF"]##gongfei
  1645. rcjID = filtered1.iloc[i]["RcjID"]
  1646. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1647. filtered2 = detail[detail["RcjID"]==rcjID]
  1648. if len(filtered2) > 0:
  1649. CLBH = filtered2.iloc[0]["CLBH"]
  1650. CLMC = filtered2.iloc[0]["CLMC"]
  1651. JLDW = filtered2.iloc[0]["JLDW"]
  1652. YSJG = filtered2.iloc[0]["YSJG"]
  1653. rgde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1654. rgde_["CLMC"] = CLMC
  1655. rgde_["JLDW"] = JLDW
  1656. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1657. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1658. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1659. rgde.append(rgde_)
  1660. ##print(rgde)
  1661. ####jixie
  1662. jxde = []
  1663. jx = pd.read_csv("de/az/JD_GuJiaJX.csv")
  1664. filtered1 = jx[jx["DEBH"]==debh]
  1665. for i in range(len(filtered1)):
  1666. jxde_ = {}
  1667. sl = filtered1.iloc[i]["SL"]##shuliang
  1668. hj = filtered1.iloc[i]["HJ"]##hejia
  1669. rcjID = filtered1.iloc[i]["RcjID"]
  1670. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  1671. filtered2 = detail[detail["RcjID"]==rcjID]
  1672. if len(filtered2) > 0:
  1673. jxbh = filtered2.iloc[0]["jxbh"]
  1674. jxmc = filtered2.iloc[0]["jxmc"]
  1675. DW = filtered2.iloc[0]["DW"]
  1676. tbdj = filtered2.iloc[0]["tbdj"]
  1677. jxde_["jxbh"] = jxbh
  1678. jxde_["jxmc"] = jxmc
  1679. jxde_["DW"] = DW
  1680. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1681. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1682. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1683. jxde.append(jxde_)
  1684. ####cailiao
  1685. clde = []
  1686. cl = pd.read_csv("de/az/JD_GuJiaCL.csv")
  1687. filtered1 = cl[cl["DEBH"]==debh]
  1688. for i in range(len(filtered1)):
  1689. clde_ = {}
  1690. SL = filtered1.iloc[i]["SL"]##shuliang
  1691. HJ = filtered1.iloc[i]["HJ"]##hejia
  1692. rcjID = filtered1.iloc[i]["RcjID"]
  1693. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1694. filtered2 = detail[detail["RcjID"]==rcjID]
  1695. if len(filtered2) > 0:
  1696. CLBH = filtered2.iloc[0]["CLBH"]
  1697. CLMC = filtered2.iloc[0]["CLMC"]
  1698. JLDW = filtered2.iloc[0]["JLDW"]
  1699. YSJG = filtered2.iloc[0]["YSJG"]
  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. else:
  1708. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  1709. filtered2 = detail[detail["RcjID"]==rcjID]
  1710. if len(filtered2) > 0:
  1711. CLBH = filtered2.iloc[0]["PBBH"]
  1712. CLMC = filtered2.iloc[0]["PBMC"]
  1713. JLDW = filtered2.iloc[0]["DW"]
  1714. YSJG = filtered2.iloc[0]["PBDJ"]
  1715. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1716. clde_["CLMC"] = CLMC
  1717. clde_["JLDW"] = JLDW
  1718. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1719. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1720. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1721. clde.append(clde_)
  1722. 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)
  1723. ##print(filtered)
  1724. 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
  1725. def getSingleDeXilie_sz(debh):
  1726. id = None
  1727. bz_selected = []
  1728. bz_selected2 = []
  1729. if "附注" in debh:
  1730. position = debh.find("附注")
  1731. debh = debh[:position]
  1732. if "*" in debh:
  1733. position = debh.find("*")
  1734. debh = debh[:position]
  1735. if debh.endswith("换"):
  1736. debh = debh[:-1]
  1737. if "[" in debh:
  1738. position = debh.find("[")
  1739. debh = debh[:position-1]
  1740. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1741. filtered = gj[gj["DEBH"]==debh]
  1742. ##print(filtered)
  1743. if len(filtered) > 0:
  1744. index = (filtered.iloc[0]["YSDELBH"])
  1745. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1746. hit = shu[shu["zjh"]==index]
  1747. if len(hit) > 0:
  1748. id = hit.iloc[0]["ID"]
  1749. beizhu = str(filtered.iloc[0]["BZBH"])
  1750. if 'nan' in beizhu:
  1751. pass
  1752. else:
  1753. beizhus = beizhu.split(";")
  1754. ##print(beizhus)
  1755. bzfile = pd.read_csv("de/sz/JD_BeiZhuZK.csv")
  1756. bzfile2 = pd.read_csv("de/sz/JD_BeiZhuFK.csv", dtype=str)
  1757. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1758. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1759. else:
  1760. return None, None, None, None, None, None, None
  1761. ####rengong
  1762. rgde = []
  1763. rg = pd.read_csv("de/sz/JD_GuJiaRG.csv")
  1764. filtered1 = rg[rg["DEBH"]==debh]
  1765. for i in range(len(filtered1)):
  1766. rgde_ = {}
  1767. gr = filtered1.iloc[i]["RGR"]##gongri
  1768. gf = filtered1.iloc[i]["RGF"]##gongfei
  1769. rcjID = filtered1.iloc[i]["RcjID"]
  1770. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1771. filtered2 = detail[detail["RcjID"]==rcjID]
  1772. if len(filtered2) > 0:
  1773. CLBH = filtered2.iloc[0]["CLBH"]
  1774. CLMC = filtered2.iloc[0]["CLMC"]
  1775. JLDW = filtered2.iloc[0]["JLDW"]
  1776. YSJG = filtered2.iloc[0]["YSJG"]
  1777. rgde_["CLBH"] = CLBH
  1778. rgde_["CLMC"] = CLMC
  1779. rgde_["JLDW"] = JLDW
  1780. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1781. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1782. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1783. rgde.append(rgde_)
  1784. ##print(rgde)
  1785. ####jixie
  1786. jxde = []
  1787. jx = pd.read_csv("de/sz/JD_GuJiaJX.csv")
  1788. filtered1 = jx[jx["DEBH"]==debh]
  1789. for i in range(len(filtered1)):
  1790. jxde_ = {}
  1791. sl = filtered1.iloc[i]["SL"]##shuliang
  1792. hj = filtered1.iloc[i]["HJ"]##hejia
  1793. rcjID = filtered1.iloc[i]["RcjID"]
  1794. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  1795. filtered2 = detail[detail["RcjID"]==rcjID]
  1796. if len(filtered2) > 0:
  1797. jxbh = filtered2.iloc[0]["jxbh"]
  1798. jxmc = filtered2.iloc[0]["jxmc"]
  1799. DW = filtered2.iloc[0]["DW"]
  1800. tbdj = filtered2.iloc[0]["tbdj"]
  1801. jxde_["jxbh"] = jxbh
  1802. jxde_["jxmc"] = jxmc
  1803. jxde_["DW"] = DW
  1804. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1805. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1806. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1807. jxde.append(jxde_)
  1808. ####cailiao
  1809. clde = []
  1810. cl = pd.read_csv("de/sz/JD_GuJiaCL.csv")
  1811. filtered1 = cl[cl["DEBH"]==debh]
  1812. for i in range(len(filtered1)):
  1813. clde_ = {}
  1814. SL = filtered1.iloc[i]["SL"]##shuliang
  1815. HJ = filtered1.iloc[i]["HJ"]##hejia
  1816. rcjID = filtered1.iloc[i]["RcjID"]
  1817. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1818. filtered2 = detail[detail["RcjID"]==rcjID]
  1819. if len(filtered2) > 0:
  1820. CLBH = filtered2.iloc[0]["CLBH"]
  1821. CLMC = filtered2.iloc[0]["CLMC"]
  1822. JLDW = filtered2.iloc[0]["JLDW"]
  1823. YSJG = filtered2.iloc[0]["YSJG"]
  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. else:
  1832. detail = pd.read_csv("de/sz/JD_PeiBi.csv")
  1833. filtered2 = detail[detail["RcjID"]==rcjID]
  1834. if len(filtered2) > 0:
  1835. CLBH = filtered2.iloc[0]["PBBH"]
  1836. CLMC = filtered2.iloc[0]["PBMC"]
  1837. JLDW = filtered2.iloc[0]["DW"]
  1838. YSJG = filtered2.iloc[0]["PBDJ"]
  1839. clde_["CLBH"] = CLBH
  1840. clde_["CLMC"] = CLMC
  1841. clde_["JLDW"] = JLDW
  1842. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1843. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1844. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1845. clde.append(clde_)
  1846. 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)
  1847. 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
  1848. def getSingleDeXilie_tj(debh):
  1849. id = None
  1850. bz_selected = []
  1851. bz_selected2 = []
  1852. if "附注" in debh:
  1853. position = debh.find("附注")
  1854. debh = debh[:position]
  1855. if "*" in debh:
  1856. position = debh.find("*")
  1857. debh = debh[:position]
  1858. if debh.endswith("换"):
  1859. debh = debh[:-1]
  1860. if "[" in debh:
  1861. position = debh.find("[")
  1862. debh = debh[:position-1]
  1863. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1864. filtered = gj[gj["DEBH"]==debh]
  1865. ##print(filtered)
  1866. if len(filtered) > 0:
  1867. index = int(filtered.iloc[0]["YSDELBH"])
  1868. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1869. hit = shu[shu["zjh"]==index]
  1870. if len(hit) > 0:
  1871. id = hit.iloc[0]["ID"]
  1872. beizhu = str(filtered.iloc[0]["BZBH"])
  1873. if 'nan' in beizhu:
  1874. pass
  1875. else:
  1876. beizhus = beizhu.split(";")
  1877. ##print(beizhus)
  1878. bzfile = pd.read_csv("de/tj/JD_BeiZhuZK.csv")
  1879. bzfile2 = pd.read_csv("de/tj/JD_BeiZhuFK.csv", dtype=str)
  1880. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1881. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1882. else:
  1883. return None, None, None, None, None, None, None
  1884. ####rengong
  1885. rgde = []
  1886. rg = pd.read_csv("de/tj/JD_GuJiaRG.csv")
  1887. filtered1 = rg[rg["DEBH"]==debh]
  1888. for i in range(len(filtered1)):
  1889. rgde_ = {}
  1890. gr = filtered1.iloc[i]["RGR"]##gongri
  1891. gf = filtered1.iloc[i]["RGF"]##gongfei
  1892. rcjID = filtered1.iloc[i]["RcjID"]
  1893. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1894. filtered2 = detail[detail["RcjID"]==rcjID]
  1895. if len(filtered2) > 0:
  1896. CLBH = filtered2.iloc[0]["CLBH"]
  1897. CLMC = filtered2.iloc[0]["CLMC"]
  1898. JLDW = filtered2.iloc[0]["JLDW"]
  1899. YSJG = filtered2.iloc[0]["YSJG"]
  1900. rgde_["CLBH"] = CLBH
  1901. rgde_["CLMC"] = CLMC
  1902. rgde_["JLDW"] = JLDW
  1903. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1904. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1905. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1906. rgde.append(rgde_)
  1907. ##print(rgde)
  1908. ####jixie
  1909. jxde = []
  1910. jx = pd.read_csv("de/tj/JD_GuJiaJX.csv")
  1911. filtered1 = jx[jx["DEBH"]==debh]
  1912. for i in range(len(filtered1)):
  1913. jxde_ = {}
  1914. sl = filtered1.iloc[i]["SL"]##shuliang
  1915. hj = filtered1.iloc[i]["HJ"]##hejia
  1916. rcjID = filtered1.iloc[i]["RcjID"]
  1917. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  1918. filtered2 = detail[detail["RcjID"]==rcjID]
  1919. if len(filtered2) > 0:
  1920. jxbh = filtered2.iloc[0]["jxbh"]
  1921. jxmc = filtered2.iloc[0]["jxmc"]
  1922. DW = filtered2.iloc[0]["DW"]
  1923. tbdj = filtered2.iloc[0]["tbdj"]
  1924. jxde_["jxbh"] = jxbh
  1925. jxde_["jxmc"] = jxmc
  1926. jxde_["DW"] = DW
  1927. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1928. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1929. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1930. jxde.append(jxde_)
  1931. ####cailiao
  1932. clde = []
  1933. cl = pd.read_csv("de/tj/JD_GuJiaCL.csv")
  1934. filtered1 = cl[cl["DEBH"]==debh]
  1935. for i in range(len(filtered1)):
  1936. clde_ = {}
  1937. SL = filtered1.iloc[i]["SL"]##shuliang
  1938. HJ = filtered1.iloc[i]["HJ"]##hejia
  1939. rcjID = filtered1.iloc[i]["RcjID"]
  1940. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1941. filtered2 = detail[detail["RcjID"]==rcjID]
  1942. if len(filtered2) > 0:
  1943. CLBH = filtered2.iloc[0]["CLBH"]
  1944. CLMC = filtered2.iloc[0]["CLMC"]
  1945. JLDW = filtered2.iloc[0]["JLDW"]
  1946. YSJG = filtered2.iloc[0]["YSJG"]
  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. else:
  1955. detail = pd.read_csv("de/tj/JD_PeiBi.csv")
  1956. filtered2 = detail[detail["RcjID"]==rcjID]
  1957. if len(filtered2) > 0:
  1958. CLBH = filtered2.iloc[0]["PBBH"]
  1959. CLMC = filtered2.iloc[0]["PBMC"]
  1960. JLDW = filtered2.iloc[0]["DW"]
  1961. YSJG = filtered2.iloc[0]["PBDJ"]
  1962. clde_["CLBH"] = CLBH
  1963. clde_["CLMC"] = CLMC
  1964. clde_["JLDW"] = JLDW
  1965. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1966. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1967. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1968. clde.append(clde_)
  1969. 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)
  1970. 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
  1971. def getDwgc(root, id, Zylb):
  1972. result = []
  1973. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  1974. item = None
  1975. for child in root:
  1976. if child.tag == "Dxgcxx":
  1977. for child1 in child:
  1978. Dwgcbh = child1.attrib["Dwgcbh"]
  1979. if Dwgcbh == id:
  1980. item = child1
  1981. break
  1982. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  1983. id = id + "Zylb" + Zylb
  1984. for child in item:
  1985. if child.tag == "Fywj":
  1986. result.append({"id": id + "bao jia hui zong", "label": "报价汇总表"})
  1987. elif child.tag == "Gfsj":
  1988. result.append({"id": id + "gui fei shui jin", "label": "规费税金"})
  1989. elif child.tag == "Qdxm":
  1990. result.append({"id": id + "qing dan xiang mu", "label": "清单项目"})
  1991. elif child.tag == "Csxm":
  1992. result.append({"id": id + "cuo shi xiang mu", "label": "措施项目"})
  1993. elif child.tag == "Qtxm":
  1994. result.append({"id": id +"qi ta xiang mu", "label": "其他项目"})
  1995. elif child.tag == "Zlje":
  1996. result.append({"id": id +"zan lie jin e", "label": "暂列金额"})
  1997. elif child.tag == "Clzg":
  1998. result.append({"id": id +"cai liao zan gu jia", "label": "材料暂估价"})
  1999. elif child.tag == "Zygczg":
  2000. result.append({"id": id + "zhuan ye gong cheng zan gu jia", "label": "专业工程暂估价"})
  2001. elif child.tag == "Jrg":
  2002. result.append({"id": id + "ji ri gong", "label": "计日工"})
  2003. elif child.tag == "Zcbfwf":
  2004. result.append({"id": id + "zong cheng bao fu wu fei", "label": "总承包服务费"})
  2005. elif child.tag == "Zjxmjdkzffj":
  2006. 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"})
  2007. elif child.tag == "Fbrgycl":
  2008. result.append({"id": id + "fa bao ren gong ying cai liao", "label": "发包人供应材料"})
  2009. elif child.tag == "Cbrgycl":
  2010. result.append({"id": id + "cheng bao ren gong ying cai liao", "label": "承包人供应材料"})
  2011. elif child.tag == "Rcjhz":
  2012. result.append({"id": id + "ren cai ji hui zong", "label": "人材机汇总"})
  2013. else:
  2014. print(child.tag)
  2015. print("WARNING####################################################################")
  2016. return result
  2017. def getDjcs(root, id):
  2018. result = []
  2019. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2020. item = None
  2021. for child in root:
  2022. if child.tag == "Dxgcxx":
  2023. for child1 in child:
  2024. Dwgcbh = child1.attrib["Dwgcbh"]
  2025. if Dwgcbh == id:
  2026. item = child1
  2027. break
  2028. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2029. Fywj = None
  2030. for child in item:
  2031. if child.tag == 'Csxm':
  2032. Fywj= child
  2033. break
  2034. Djcs_parent = None
  2035. for child in Fywj:
  2036. if child.tag == 'DjCs':
  2037. Djcs_parent = child
  2038. break
  2039. for child in Djcs_parent:
  2040. ##child is mx {
  2041. result.append({
  2042. "序号": child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  2043. "项目特征" : child.attrib["Xmtz"],
  2044. "计算规则" : child.attrib["Jsgz"], "单位" : child.attrib["Dw"], "数量" : child.attrib["Sl"],
  2045. "综合单价" : child.attrib["Zhdj"], "合价" : child.attrib["Zhhj"], "人工费" : child.attrib["Rgf"],
  2046. "主材费" : child.attrib["Zcf"],
  2047. "设备费" : child.attrib["Sbf"], "辅材费" : child.attrib["Fcf"], "材料费" : child.attrib["Clf"],
  2048. "机械费" : child.attrib["Jxf"], "管理费" : child.attrib["Glf"], "利润" : child.attrib["Lr"],
  2049. "暂估价" : child.attrib["Zgj"], "综合人工工日" : child.attrib["Zgr"] })
  2050. __children = []
  2051. zj_parent = None
  2052. for grandchild in child:
  2053. if grandchild.tag == "Csxdezj":
  2054. zj_parent = grandchild
  2055. if zj_parent:
  2056. for entry in zj_parent:
  2057. key = str(uuid.uuid4())
  2058. entry.set("key", key)
  2059. __children.append({
  2060. "key": key,
  2061. "序号": None, "清单编码": entry.attrib["Debm"], "名称" : entry.attrib["Mc"],
  2062. "项目特征" : None,
  2063. "计算规则" : None, "单位" : entry.attrib["Dw"], "数量" : entry.attrib["DwQdSl"],
  2064. "综合单价" : entry.attrib["Dj"], "合价" : entry.attrib["Hj"], "人工费" : entry.attrib["Rgf"],
  2065. "主材费" : entry.attrib["Zcf"],
  2066. "设备费" : entry.attrib["Sbf"], "辅材费" : entry.attrib["Fcf"], "材料费" : entry.attrib["Clf"],
  2067. "机械费" : entry.attrib["Jxf"], "管理费" : entry.attrib["Glf"], "利润" : entry.attrib["Lr"],
  2068. "暂估价" : None, "综合人工工日" : None })
  2069. if len(__children) > 0:
  2070. result[-1]["__children"] = __children
  2071. return result