service.py 112 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 processJxs(dataframe, from_, end, level):
  676. result = []
  677. for i in range(from_, end):
  678. item = dataframe.iloc[i]
  679. fbcch = str(item['fbcch'])
  680. if fbcch == str(level):
  681. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["jxlbh"]}
  682. next = i + 1
  683. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  684. next = next + 1
  685. entry["children"] = processJxs(dataframe, i + 1, next, level + 1)
  686. result.append(entry)
  687. return result
  688. def processCls(dataframe, from_, end, level):
  689. result = []
  690. for i in range(from_, end):
  691. item = dataframe.iloc[i]
  692. fbcch = str(item['fbcch'])
  693. if fbcch == str(level):
  694. entry = {"id": str(item["ID"]),"key": str(item["ID"]), "value": str(item["ID"]), "label": str(item["flmc"]),"title": str(item["flmc"]), "data": item["cllbh"].item() if type(item["cllbh"]) == int64 else item["cllbh"]}
  695. ##print(entry)
  696. next = i + 1
  697. while next < end and str(dataframe.iloc[next]["fbcch"]) != str(level):
  698. next = next + 1
  699. entry["children"] = processCls(dataframe, i + 1, next, level + 1)
  700. result.append(entry)
  701. return result
  702. def getCankao():
  703. tree = ET.parse('de/DeData_Fl.xml')
  704. root = tree.getroot()
  705. JSFF = None
  706. CsFl = None
  707. result = []
  708. for child in root:
  709. if child.tag == "JJFF":
  710. for grandchild in child:
  711. if grandchild.tag == 'JSFF':
  712. JSFF = grandchild
  713. for child in JSFF:
  714. if child.attrib['Markup'] == '1':
  715. for grandchild in child:
  716. if grandchild.tag == 'CsFl':
  717. CsFl = grandchild
  718. for child in CsFl:
  719. result.append({'工程类型': child.attrib['Gclx'], '名称': child.attrib['Mc'], '计算基础': child.attrib['Jsjc'],
  720. '参考费率': child.attrib['CkFl'], '地区': child.attrib['Dq'], '备注': child.attrib['Bz']})
  721. return result
  722. def getDes(value):
  723. if value == 10:
  724. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  725. elif value == 20:
  726. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  727. elif value == 30:
  728. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  729. elif value == 40:
  730. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  731. elif value == 50:
  732. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  733. else:
  734. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  735. length = len(shu)
  736. return processDes(shu, 1, length, 2)
  737. def getPbs(value):
  738. if value == 10:
  739. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  740. elif value == 20:
  741. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  742. elif value == 30:
  743. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  744. else:
  745. return []
  746. length = len(shu)
  747. return processPbs(shu, 0, length, 1)
  748. def getJxs(value):
  749. if value == 10:
  750. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  751. elif value == 20:
  752. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  753. elif value == 30:
  754. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  755. else:
  756. return []
  757. length = len(shu)
  758. return processJxs(shu, 0, length, 1)
  759. def getCls(value):
  760. if value == 10:
  761. shu = pd.read_csv("de/tj/JD_CaiLiaoFLB.csv")
  762. elif value == 20:
  763. shu = pd.read_csv("de/sz/JD_CaiLiaoFLB.csv")
  764. elif value == 30:
  765. shu = pd.read_csv("de/az/JD_CaiLiaoFLB.csv")
  766. elif value == 40:
  767. shu = pd.read_csv("de/yl/JD_CaiLiaoFLB.csv")
  768. elif value == 50:
  769. shu = pd.read_csv("de/xstj/JD_CaiLiaoFLB.csv")
  770. elif value == 60:
  771. shu = pd.read_csv("de/xsaz/JD_CaiLiaoFLB.csv")
  772. else:
  773. return []
  774. length = len(shu)
  775. return processCls(shu, 0, length, 1)
  776. def read_singledexilie_azfy(debh):
  777. id = "None"
  778. if "-F1" in debh:
  779. id = "2076"
  780. elif "-F2" in debh:
  781. id = "2077"
  782. elif "-F3" in debh:
  783. id = "2078"
  784. elif "-F4" in debh:
  785. id = "2079"
  786. elif "-F5" in debh:
  787. if '4-F5' in debh:
  788. id = "2081"
  789. elif '5-F5' in debh:
  790. id = '2082'
  791. elif '7-F5' in debh:
  792. id = '2083'
  793. elif '9-F5' in debh:
  794. id = '2084'
  795. elif '10-F5' in debh:
  796. id = '2085'
  797. elif '11-F5' in debh:
  798. id = '2086'
  799. elif "-F6" in debh:
  800. id = "2087"
  801. r_debh = debh.split("!")[0]
  802. if len(debh.split("!")) == 1:
  803. return json.dumps({
  804. "reverse": id,
  805. "rgde": [],
  806. "jxde": [],
  807. "clde": [],
  808. "actual_zhuanye": 30,
  809. "bz_selected": {"BZBH": {}},
  810. "bz_selected2": {"BZBH": {}}
  811. }, ensure_ascii=False)
  812. gclmc = debh.split("!")[1]
  813. return json.dumps({
  814. "reverse": id,
  815. "DEBH": {"111": r_debh},
  816. "GCLMC": {"111": gclmc},
  817. "DW": {"111": '项'},
  818. "rgde": [],
  819. "jxde": [],
  820. "clde": [],
  821. "actual_zhuanye": 30,
  822. "bz_selected": {"BZBH": {}},
  823. "bz_selected2": {"BZBH": {}}
  824. }, ensure_ascii=False)
  825. def getDeXilie_azfy(value, id):
  826. if int(id) == 2075 or int(id) == 2080:
  827. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  828. if int(id) == 2076:
  829. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项", "项", "项", "项", "项", "项"],
  830. 'DEBH': ['2-F1', '2-F1', '3-F1', '3-F1', '4-F1',
  831. '5-F1', '6-F1', '7-F1', '8-F1', '9-F1', '10-F1', '11-F1', '11-F1', '11-F1', '11-F1', '11-F1'],
  832. "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)",
  833. "第三册除静置设备制作以外(定额3-616~3-9999)", "第四册",
  834. "第五册", "第六册", "第七册", "第八册", "第九册", "第十册",
  835. "第十一册刷油工程(定额11-51~11-329)",
  836. "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"],
  837. "GCLSJDJ": ["0", "0", "0", "0", "0", "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) == 2077:
  841. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项','项','项',
  842. '项','项','项','项','项','项','项','项','项','项',
  843. '项','项','项',
  844. '项','项', "项",'项','项','项','项', "项",'项', "项"],
  845. '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',
  846. '4-F2', '5-F2', '5-F2', '5-F2','6-F2',
  847. '7-F2', '9-F2','9-F2','9-F2','9-F2', '10-F2','10-F2','10-F2','10-F2',
  848. '11-F2','11-F2','11-F2','11-F2', '11-F2','11-F2','11-F2' ],
  849. "GCLMC": ["第一册第1-6章(定额1-1~1-571)10-15m",
  850. "第一册第1-6章(定额1-1~1-571)15-20m",
  851. "第一册第1-6章(定额1-1~1-571)20-25m",
  852. "第一册第1-6章(定额1-1~1-571)25-30m",
  853. "第一册第1-6章(定额1-1~1-571)30-40m",
  854. "第一册第1-6章(定额1-1~1-571)40m以上",
  855. "第一册第8-14章(定额1-672~1-9999)10-15m",
  856. "第一册第8-14章(定额1-672~1-9999)15-20m",
  857. "第一册第8-14章(定额1-672~1-9999)20-25m",
  858. "第一册第8-14章(定额1-672~1-9999)25-30m",
  859. "第一册第8-14章(定额1-672~1-9999)30-40m",
  860. "第一册第8-14章(定额1-672~1-9999)40m以上",
  861. "第四册",
  862. "第五册5m以上到10m以内",
  863. "第五册10-20m",
  864. "第五册20m以上",
  865. "第六册", "第七册",
  866. "第九册5m以上到8m以内",
  867. "第九册8-12m",
  868. "第九册12-16m",
  869. "第九册16-20m",
  870. "第十册3.6-8m以内",
  871. "第十册8-12m以内",
  872. "第十册12-16m以内",
  873. "第十册16-20m",
  874. "第十一册6-20m",
  875. "第十一册20-30m",
  876. "第十一册30-40m",
  877. "第十一册40-50m",
  878. "第十一册50-60m",
  879. "第十一册60-70m",
  880. "第十一册80m以上",
  881. ],
  882. "GCLSJDJ": ["0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  883. "0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  884. "0","0", "0",
  885. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  886. df = pd.DataFrame(data)
  887. return df.to_json(force_ascii=False)
  888. if int(id) == 2078:
  889. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  890. 'DEBH': ['1-F4', '1-F4', '2-F4', '3-F4', '4-F4',
  891. '5-F4', '6-F4', '7-F4', '8-F4', '9-F4', '11-F4'],
  892. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  893. "第三册", "第四册",
  894. "第五册", "第六册", "第七册", "第八册", "第九册",
  895. "第十一册", ],
  896. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  897. df = pd.DataFrame(data)
  898. return df.to_json(force_ascii=False)
  899. if int(id) == 2079:
  900. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  901. 'DEBH': ['1-F5', '1-F5', '2-F5', '3-F5', '4-F5',
  902. '5-F5', '6-F5', '7-F5', '8-F5', '9-F5', '11-F5'],
  903. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  904. "第三册", "第四册",
  905. "第五册", "第六册", "第七册", "第八册", "第九册",
  906. "第十一册", ],
  907. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  908. df = pd.DataFrame(data)
  909. return df.to_json(force_ascii=False)
  910. if int(id) == 2081:
  911. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  912. "项", '项', '项', '项', '项', "项", "项", "项"],
  913. 'DEBH': ['4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3',
  914. '4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3'],
  915. "GCLMC": ["9层或30m以内",
  916. "12层或40m以内",
  917. "15层或50m以内",
  918. "18层或60m以内",
  919. "21层或70m以内",
  920. "24层或80m以内",
  921. "27层或90m以内",
  922. "30层或100m以内",
  923. "33层或110m以内",
  924. "36层或120m以内",
  925. "40层或130m以内",
  926. "42层或140m以内",
  927. "45层或150m以内",
  928. "48层或160m以内",
  929. "51层或170m以内",
  930. "54层或180m以内",
  931. "57层或190m以内",
  932. "60层或200m以内",
  933. ],
  934. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  935. "0", "0", "0", "0", "0", "0", "0", "0"]}
  936. df = pd.DataFrame(data)
  937. return df.to_json(force_ascii=False)
  938. if int(id) == 2082:
  939. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  940. "项", '项', '项', '项', '项', "项", "项", "项"],
  941. 'DEBH': ['5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3',
  942. '5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3'],
  943. "GCLMC": ["9层或30m以内",
  944. "12层或40m以内",
  945. "15层或50m以内",
  946. "18层或60m以内",
  947. "21层或70m以内",
  948. "24层或80m以内",
  949. "27层或90m以内",
  950. "30层或100m以内",
  951. "33层或110m以内",
  952. "36层或120m以内",
  953. "40层或130m以内",
  954. "42层或140m以内",
  955. "45层或150m以内",
  956. "48层或160m以内",
  957. "51层或170m以内",
  958. "54层或180m以内",
  959. "57层或190m以内",
  960. "60层或200m以内",
  961. ],
  962. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  963. "0", "0", "0", "0", "0", "0", "0", "0"]}
  964. df = pd.DataFrame(data)
  965. return df.to_json(force_ascii=False)
  966. if int(id) == 2083:
  967. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  968. "项", '项', '项', '项', '项', "项", "项", "项"],
  969. 'DEBH': ['7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3',
  970. '7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3'],
  971. "GCLMC": ["9层或30m以内",
  972. "12层或40m以内",
  973. "15层或50m以内",
  974. "18层或60m以内",
  975. "21层或70m以内",
  976. "24层或80m以内",
  977. "27层或90m以内",
  978. "30层或100m以内",
  979. "33层或110m以内",
  980. "36层或120m以内",
  981. "40层或130m以内",
  982. "42层或140m以内",
  983. "45层或150m以内",
  984. "48层或160m以内",
  985. "51层或170m以内",
  986. "54层或180m以内",
  987. "57层或190m以内",
  988. "60层或200m以内",
  989. ],
  990. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  991. "0", "0", "0", "0", "0", "0", "0", "0"]}
  992. df = pd.DataFrame(data)
  993. return df.to_json(force_ascii=False)
  994. if int(id) == 2084:
  995. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  996. "项", '项', '项', '项', '项', "项", "项", "项"],
  997. 'DEBH': ['9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3',
  998. '9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3'],
  999. "GCLMC": ["9层或30m以内",
  1000. "12层或40m以内",
  1001. "15层或50m以内",
  1002. "18层或60m以内",
  1003. "21层或70m以内",
  1004. "24层或80m以内",
  1005. "27层或90m以内",
  1006. "30层或100m以内",
  1007. "33层或110m以内",
  1008. "36层或120m以内",
  1009. "40层或130m以内",
  1010. "42层或140m以内",
  1011. "45层或150m以内",
  1012. "48层或160m以内",
  1013. "51层或170m以内",
  1014. "54层或180m以内",
  1015. "57层或190m以内",
  1016. "60层或200m以内",
  1017. ],
  1018. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1019. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1020. df = pd.DataFrame(data)
  1021. return df.to_json(force_ascii=False)
  1022. if int(id) == 2085:
  1023. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1024. "项", '项', '项', '项', '项', "项", "项", "项"],
  1025. 'DEBH': ['10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3',
  1026. '10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3'],
  1027. "GCLMC": ["9层或30m以内",
  1028. "12层或40m以内",
  1029. "15层或50m以内",
  1030. "18层或60m以内",
  1031. "21层或70m以内",
  1032. "24层或80m以内",
  1033. "27层或90m以内",
  1034. "30层或100m以内",
  1035. "33层或110m以内",
  1036. "36层或120m以内",
  1037. "40层或130m以内",
  1038. "42层或140m以内",
  1039. "45层或150m以内",
  1040. "48层或160m以内",
  1041. "51层或170m以内",
  1042. "54层或180m以内",
  1043. "57层或190m以内",
  1044. "60层或200m以内",
  1045. ],
  1046. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1047. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1048. df = pd.DataFrame(data)
  1049. return df.to_json(force_ascii=False)
  1050. if int(id) == 2086:
  1051. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1052. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1053. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1054. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1055. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1056. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1057. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1058. "项", '项'],
  1059. 'DEBH': ['11-F3', '11-F3',
  1060. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1061. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1062. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1063. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1064. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1065. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1066. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1067. ],
  1068. "GCLMC": [
  1069. "(按通风空调工程)9层或30m以内",
  1070. "(按通风空调工程)12层或40m以内",
  1071. "(按通风空调工程)15层或50m以内",
  1072. "(按通风空调工程)18层或60m以内",
  1073. "(按通风空调工程)21层或70m以内",
  1074. "(按通风空调工程)24层或80m以内",
  1075. "(按通风空调工程)27层或90m以内",
  1076. "(按通风空调工程)30层或100m以内",
  1077. "(按通风空调工程)33层或110m以内",
  1078. "(按通风空调工程)36层或120m以内",
  1079. "(按通风空调工程)40层或130m以内",
  1080. "(按通风空调工程)42层或140m以内",
  1081. "(按通风空调工程)45层或150m以内",
  1082. "(按通风空调工程)48层或160m以内",
  1083. "(按通风空调工程)51层或170m以内",
  1084. "(按通风空调工程)54层或180m以内",
  1085. "(按通风空调工程)57层或190m以内",
  1086. "(按通风空调工程)60层或200m以内",
  1087. ############################
  1088. "(按消防工程)9层或30m以内",
  1089. "(按消防工程)12层或40m以内",
  1090. "(按消防工程)15层或50m以内",
  1091. "(按消防工程)18层或60m以内",
  1092. "(按消防工程)21层或70m以内",
  1093. "(按消防工程)24层或80m以内",
  1094. "(按消防工程)27层或90m以内",
  1095. "(按消防工程)30层或100m以内",
  1096. "(按消防工程)33层或110m以内",
  1097. "(按消防工程)36层或120m以内",
  1098. "(按消防工程)40层或130m以内",
  1099. "(按消防工程)42层或140m以内",
  1100. "(按消防工程)45层或150m以内",
  1101. "(按消防工程)48层或160m以内",
  1102. "(按消防工程)51层或170m以内",
  1103. "(按消防工程)54层或180m以内",
  1104. "(按消防工程)57层或190m以内",
  1105. "(按消防工程)60层或200m以内",
  1106. ############################
  1107. "(按给排水、采暖工程)9层或30m以内",
  1108. "(按给排水、采暖工程)12层或40m以内",
  1109. "(按给排水、采暖工程)15层或50m以内",
  1110. "(按给排水、采暖工程)18层或60m以内",
  1111. "(按给排水、采暖工程)21层或70m以内",
  1112. "(按给排水、采暖工程)24层或80m以内",
  1113. "(按给排水、采暖工程)27层或90m以内",
  1114. "(按给排水、采暖工程)30层或100m以内",
  1115. "(按给排水、采暖工程)33层或110m以内",
  1116. "(按给排水、采暖工程)36层或120m以内",
  1117. "(按给排水、采暖工程)40层或130m以内",
  1118. "(按给排水、采暖工程)42层或140m以内",
  1119. "(按给排水、采暖工程)45层或150m以内",
  1120. "(按给排水、采暖工程)48层或160m以内",
  1121. "(按给排水、采暖工程)51层或170m以内",
  1122. "(按给排水、采暖工程)54层或180m以内",
  1123. "(按给排水、采暖工程)57层或190m以内",
  1124. "(按给排水、采暖工程)60层或200m以内",
  1125. ############################
  1126. "(按电气工程)9层或30m以内",
  1127. "(按电气工程)12层或40m以内",
  1128. "(按电气工程)15层或50m以内",
  1129. "(按电气工程)18层或60m以内",
  1130. "(按电气工程)21层或70m以内",
  1131. "(按电气工程)24层或80m以内",
  1132. "(按电气工程)27层或90m以内",
  1133. "(按电气工程)30层或100m以内",
  1134. "(按电气工程)33层或110m以内",
  1135. "(按电气工程)36层或120m以内",
  1136. "(按电气工程)40层或130m以内",
  1137. "(按电气工程)42层或140m以内",
  1138. "(按电气工程)45层或150m以内",
  1139. "(按电气工程)48层或160m以内",
  1140. "(按电气工程)51层或170m以内",
  1141. "(按电气工程)54层或180m以内",
  1142. "(按电气工程)57层或190m以内",
  1143. "(按电气工程)60层或200m以内",
  1144. ],
  1145. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1146. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1147. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1148. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1149. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1150. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1151. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1152. "0", "0" ]}
  1153. df = pd.DataFrame(data)
  1154. return df.to_json(force_ascii=False)
  1155. if int(id) == 2087:
  1156. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项"],
  1157. 'DEBH': ['1-F6', '3-F6', '4-F6', '7-F6', '8-F6',
  1158. '10-F6', '10-F6', '10-F6', '11-F6'],
  1159. "GCLMC": ["第一册 站内工艺系统",
  1160. "第三册 站内工艺系统", "第四册 站内工艺系统",
  1161. "第七册", "第八册 站内工艺系统",
  1162. "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" ],
  1163. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1164. df = pd.DataFrame(data)
  1165. return df.to_json(force_ascii=False)
  1166. def getDeXilie(value, id):
  1167. print(type(id))
  1168. if value == 10:
  1169. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1170. elif value == 20:
  1171. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1172. elif value == 30:
  1173. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1174. elif value == 40:
  1175. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1176. elif value == 50:
  1177. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1178. else:
  1179. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1180. hit = shu[shu["ID"]==int(id)]
  1181. print(hit)
  1182. if len(hit) == 0:
  1183. return []
  1184. hit0 = hit.iloc[0]
  1185. index = str(hit0['zjh'])
  1186. print("index=" + index)
  1187. if value == 10:
  1188. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1189. filtered = gj[gj["YSDELBH"]==int(index)]
  1190. elif value == 20:
  1191. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1192. filtered = gj[gj["YSDELBH"]==(index)]
  1193. elif value == 30:
  1194. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1195. filtered = gj[gj["YSDELBH"]==(index)]
  1196. elif value == 40:
  1197. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1198. filtered = gj[gj["YSDELBH"]==int(index)]
  1199. elif value == 50:
  1200. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1201. filtered = gj[gj["YSDELBH"]==int(index)]
  1202. else:
  1203. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1204. filtered = gj[gj["YSDELBH"]==int(index)]
  1205. 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)
  1206. return filtered.to_json(force_ascii=False)
  1207. def getQufei(name):
  1208. if name == "0":
  1209. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1210. return gj.to_json(force_ascii=False)
  1211. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1212. hit = shu[shu["ID"]==int(name)]
  1213. print(hit)
  1214. if len(hit) == 0:
  1215. return []
  1216. hit0 = hit.iloc[0]
  1217. index = str(hit0['pblbh'])
  1218. index_list = index.split(";")
  1219. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1220. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1221. return filtered.to_json(force_ascii=False)
  1222. def getPbxl(name, zhuanye):
  1223. if name == "0":
  1224. if zhuanye == 10:
  1225. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1226. elif zhuanye == 20:
  1227. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1228. elif zhuanye == 30:
  1229. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1230. elif zhuanye == 40:
  1231. gj = pd.read_csv("de/yl/JD_PeiBi.csv")
  1232. elif zhuanye == 50:
  1233. gj = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1234. elif zhuanye == 60:
  1235. gj = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1236. return gj.to_json(force_ascii=False)
  1237. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1238. hit = shu[shu["ID"]==int(name)]
  1239. print(hit)
  1240. if len(hit) == 0:
  1241. return []
  1242. hit0 = hit.iloc[0]
  1243. index = str(hit0['pblbh'])
  1244. index_list = index.split(";")
  1245. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1246. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1247. return filtered.to_json(force_ascii=False)
  1248. def getJxxl(name, zhuanye):
  1249. if name == "0":
  1250. if zhuanye == 10:
  1251. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1252. elif zhuanye == 20:
  1253. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1254. elif zhuanye == 30:
  1255. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1256. elif zhuanye == 40:
  1257. gj = pd.read_csv("de/yl/JD_JiXieK.csv")
  1258. elif zhuanye == 50:
  1259. gj = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1260. elif zhuanye == 60:
  1261. gj = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1262. return gj.to_json(force_ascii=False)
  1263. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  1264. hit = shu[shu["ID"]==int(name)]
  1265. print(hit)
  1266. if len(hit) == 0:
  1267. return []
  1268. hit0 = hit.iloc[0]
  1269. index = str(hit0['jxlbh'])
  1270. index_list = index.split(";")
  1271. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1272. filtered = gj[gj["jxbh"].str.startswith(tuple(index_list))]
  1273. return filtered.to_json(force_ascii=False)
  1274. def getClxl(name, zhuanye):
  1275. if name == "0":
  1276. if zhuanye == 10:
  1277. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1278. elif zhuanye == 20:
  1279. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1280. elif zhuanye == 30:
  1281. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1282. elif zhuanye == 40:
  1283. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1284. elif zhuanye == 50:
  1285. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1286. elif zhuanye == 60:
  1287. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1288. return gj.to_json(force_ascii=False)
  1289. if zhuanye == 10:
  1290. shu = pd.read_csv("de/tj/JD_CaiLiaoFLB.csv")
  1291. if zhuanye == 20:
  1292. shu = pd.read_csv("de/sz/JD_CaiLiaoFLB.csv")
  1293. if zhuanye == 30:
  1294. shu = pd.read_csv("de/az/JD_CaiLiaoFLB.csv")
  1295. if zhuanye == 40:
  1296. shu = pd.read_csv("de/yl/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1297. if zhuanye == 50:
  1298. shu = pd.read_csv("de/xstj/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1299. if zhuanye == 60:
  1300. shu = pd.read_csv("de/xsaz/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1301. hit = shu[shu["ID"]==int(name)]
  1302. print(hit)
  1303. if len(hit) == 0:
  1304. return []
  1305. hit0 = hit.iloc[0]
  1306. index = str(hit0['cllbh'])
  1307. index_list = index.split(";")
  1308. if zhuanye == 10:
  1309. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1310. if zhuanye == 20:
  1311. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1312. if zhuanye == 30:
  1313. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1314. if zhuanye == 40:
  1315. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1316. if zhuanye == 50:
  1317. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1318. if zhuanye == 60:
  1319. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1320. ##print(index_list)
  1321. ##print(gj)
  1322. filtered = gj[gj["CLBH"].str.startswith(tuple(index_list))]
  1323. return filtered.to_json(force_ascii=False)
  1324. def getSingleDeXilie(zhuanye, debh):
  1325. if zhuanye == 10:
  1326. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1327. if A1:
  1328. return A1, A2, A3, A4, A5, A6, A7, 10
  1329. else:
  1330. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1331. return A1, A2, A3, A4,A5, A6, A7, 20
  1332. elif zhuanye == 20:##shizheng
  1333. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1334. if A1:
  1335. return A1, A2, A3, A4, A5, A6, A7, 20
  1336. else:
  1337. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1338. if A1:
  1339. return A1, A2, A3, A4, A5, A6, A7, 10
  1340. else:
  1341. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1342. return A1, A2, A3, A4, A5, A6, A7, 30
  1343. elif zhuanye == 30:##anzhuang
  1344. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1345. return A1, A2, A3, A4, A5, A6, A7, 30
  1346. elif zhuanye == 40:##yuanlin
  1347. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_yl(debh)
  1348. return A1, A2, A3, A4, A5, A6, A7, 40
  1349. elif zhuanye == 50: ## xiushan tujian
  1350. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xstj(debh)
  1351. if A1:
  1352. return A1, A2, A3, A4, A5, A6, A7, 50
  1353. else:
  1354. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1355. return A1, A2, A3, A4,A5, A6, A7, 10
  1356. else:
  1357. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xsaz(debh)
  1358. if A1:
  1359. return A1, A2, A3, A4, A5, A6, A7, 60
  1360. else:
  1361. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1362. return A1, A2, A3, A4,A5, A6, A7, 30
  1363. def getSingleDeXilie_xsaz(debh):
  1364. id = None
  1365. bz_selected = []
  1366. bz_selected2 = []
  1367. if "附注" in debh:
  1368. position = debh.find("附注")
  1369. debh = debh[:position]
  1370. if "*" in debh:
  1371. position = debh.find("*")
  1372. debh = debh[:position]
  1373. if debh.endswith("换"):
  1374. debh = debh[:-1]
  1375. if "[" in debh:
  1376. position = debh.find("[")
  1377. debh = debh[:position-1]
  1378. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1379. filtered = gj[gj["DEBH"]==debh]
  1380. ##print(filtered)
  1381. if len(filtered) > 0:
  1382. index = (filtered.iloc[0]["YSDELBH"])
  1383. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1384. hit = shu[shu["zjh"]==index]
  1385. if len(hit) > 0:
  1386. id = hit.iloc[0]["ID"]
  1387. beizhu = str(filtered.iloc[0]["BZBH"])
  1388. if 'nan' in beizhu:
  1389. pass
  1390. else:
  1391. beizhus = beizhu.split(";")
  1392. ##print(beizhus)
  1393. bzfile = pd.read_csv("de/xsaz/JD_BeiZhuZK.csv")
  1394. bzfile2 = pd.read_csv("de/xsaz/JD_BeiZhuFK.csv", dtype=str)
  1395. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1396. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1397. else:
  1398. return None, None, None, None, None, None, None
  1399. ####rengong
  1400. rgde = []
  1401. rg = pd.read_csv("de/xsaz/JD_GuJiaRG.csv")
  1402. filtered1 = rg[rg["DEBH"]==debh]
  1403. for i in range(len(filtered1)):
  1404. rgde_ = {}
  1405. gr = filtered1.iloc[i]["RGR"]##gongri
  1406. gf = filtered1.iloc[i]["RGF"]##gongfei
  1407. rcjID = filtered1.iloc[i]["RcjID"]
  1408. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1409. filtered2 = detail[detail["RcjID"]==rcjID]
  1410. if len(filtered2) > 0:
  1411. CLBH = filtered2.iloc[0]["CLBH"]
  1412. CLMC = filtered2.iloc[0]["CLMC"]
  1413. JLDW = filtered2.iloc[0]["JLDW"]
  1414. YSJG = filtered2.iloc[0]["YSJG"]
  1415. rgde_["CLBH"] = CLBH
  1416. rgde_["CLMC"] = CLMC
  1417. rgde_["JLDW"] = JLDW
  1418. rgde_["YSJG"] = YSJG.item()
  1419. rgde_["gr"] = gr.item()
  1420. rgde_["gf"] = gf.item()
  1421. rgde.append(rgde_)
  1422. ##print(rgde)
  1423. ####jixie
  1424. jxde = []
  1425. jx = pd.read_csv("de/xsaz/JD_GuJiaJX.csv")
  1426. filtered1 = jx[jx["DEBH"]==debh]
  1427. for i in range(len(filtered1)):
  1428. jxde_ = {}
  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/xsaz/JD_JiXieK.csv")
  1433. filtered2 = detail[detail["RcjID"]==rcjID]
  1434. if len(filtered2) > 0:
  1435. jxbh = filtered2.iloc[0]["jxbh"]
  1436. jxmc = filtered2.iloc[0]["jxmc"]
  1437. DW = filtered2.iloc[0]["DW"]
  1438. tbdj = filtered2.iloc[0]["tbdj"]
  1439. jxde_["jxbh"] = jxbh
  1440. jxde_["jxmc"] = jxmc
  1441. jxde_["DW"] = DW
  1442. jxde_["tbdj"] = tbdj.item()
  1443. jxde_["sl"] = sl.item()
  1444. jxde_["hj"] = hj.item()
  1445. jxde.append(jxde_)
  1446. ####cailiao
  1447. clde = []
  1448. cl = pd.read_csv("de/xsaz/JD_GuJiaCL.csv")
  1449. filtered1 = cl[cl["DEBH"]==debh]
  1450. for i in range(len(filtered1)):
  1451. clde_ = {}
  1452. SL = filtered1.iloc[i]["SL"]##shuliang
  1453. HJ = filtered1.iloc[i]["HJ"]##hejia
  1454. rcjID = filtered1.iloc[i]["RcjID"]
  1455. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1456. filtered2 = detail[detail["RcjID"]==rcjID]
  1457. detail_ = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1458. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1459. if len(filtered2) > 0 and len(filtered2_) == 0:
  1460. CLBH = filtered2.iloc[0]["CLBH"]
  1461. CLMC = filtered2.iloc[0]["CLMC"]
  1462. JLDW = filtered2.iloc[0]["JLDW"]
  1463. YSJG = filtered2.iloc[0]["YSJG"]
  1464. clde_["CLBH"] = CLBH
  1465. clde_["CLMC"] = CLMC
  1466. clde_["JLDW"] = JLDW
  1467. clde_["YSJG"] = YSJG.item()
  1468. clde_["SL"] = SL.item()
  1469. clde_["HJ"] = HJ.item()
  1470. clde.append(clde_)
  1471. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1472. CLBH = filtered2_.iloc[0]["PBBH"]
  1473. CLMC = filtered2_.iloc[0]["PBMC"]
  1474. JLDW = filtered2_.iloc[0]["DW"]
  1475. YSJG = filtered2_.iloc[0]["PBDJ"]
  1476. clde_["CLBH"] = CLBH.item()
  1477. clde_["CLMC"] = CLMC
  1478. clde_["JLDW"] = JLDW
  1479. clde_["YSJG"] = YSJG.item()
  1480. clde_["SL"] = SL.item()
  1481. clde_["HJ"] = HJ.item()
  1482. clde.append(clde_)
  1483. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1484. YSJG = filtered2.iloc[0]["YSJG"]
  1485. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1486. if float(HJ) < 0.00001:
  1487. if float(YSJG) < 0.00001:
  1488. CLBH = filtered2.iloc[0]["CLBH"]
  1489. CLMC = filtered2.iloc[0]["CLMC"]
  1490. JLDW = filtered2.iloc[0]["JLDW"]
  1491. YSJG = filtered2.iloc[0]["YSJG"]
  1492. clde_["CLBH"] = CLBH
  1493. clde_["CLMC"] = CLMC
  1494. clde_["JLDW"] = JLDW
  1495. clde_["YSJG"] = YSJG.item()
  1496. clde_["SL"] = SL.item()
  1497. clde_["HJ"] = HJ.item()
  1498. clde.append(clde_)
  1499. elif float(YSJG_) < 0.00001:
  1500. CLBH = filtered2_.iloc[0]["PBBH"]
  1501. CLMC = filtered2_.iloc[0]["PBMC"]
  1502. JLDW = filtered2_.iloc[0]["DW"]
  1503. YSJG = filtered2_.iloc[0]["PBDJ"]
  1504. clde_["CLBH"] = CLBH.item()
  1505. clde_["CLMC"] = CLMC
  1506. clde_["JLDW"] = JLDW
  1507. clde_["YSJG"] = YSJG.item()
  1508. clde_["SL"] = SL.item()
  1509. clde_["HJ"] = HJ.item()
  1510. clde.append(clde_)
  1511. else:
  1512. ratio = float(YSJG) / (float(HJ) / float(SL))
  1513. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1514. if abs(ratio - 1) < abs(ratio_ -1):
  1515. CLBH = filtered2.iloc[0]["CLBH"]
  1516. CLMC = filtered2.iloc[0]["CLMC"]
  1517. JLDW = filtered2.iloc[0]["JLDW"]
  1518. YSJG = filtered2.iloc[0]["YSJG"]
  1519. clde_["CLBH"] = CLBH
  1520. clde_["CLMC"] = CLMC
  1521. clde_["JLDW"] = JLDW
  1522. clde_["YSJG"] = YSJG.item()
  1523. clde_["SL"] = SL.item()
  1524. clde_["HJ"] = HJ.item()
  1525. clde.append(clde_)
  1526. else:
  1527. CLBH = filtered2_.iloc[0]["PBBH"]
  1528. CLMC = filtered2_.iloc[0]["PBMC"]
  1529. JLDW = filtered2_.iloc[0]["DW"]
  1530. YSJG = filtered2_.iloc[0]["PBDJ"]
  1531. clde_["CLBH"] = CLBH.item()
  1532. clde_["CLMC"] = CLMC
  1533. clde_["JLDW"] = JLDW
  1534. clde_["YSJG"] = YSJG.item()
  1535. clde_["SL"] = SL.item()
  1536. clde_["HJ"] = HJ.item()
  1537. clde.append(clde_)
  1538. 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)
  1539. 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
  1540. def getSingleDeXilie_xstj(debh):
  1541. id = None
  1542. bz_selected = []
  1543. bz_selected2 = []
  1544. if "附注" in debh:
  1545. position = debh.find("附注")
  1546. debh = debh[:position]
  1547. if "*" in debh:
  1548. position = debh.find("*")
  1549. debh = debh[:position]
  1550. if debh.endswith("换"):
  1551. debh = debh[:-1]
  1552. if "[" in debh:
  1553. position = debh.find("[")
  1554. debh = debh[:position-1]
  1555. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1556. filtered = gj[gj["DEBH"]==debh]
  1557. ##print(filtered)
  1558. if len(filtered) > 0:
  1559. index = (filtered.iloc[0]["YSDELBH"])
  1560. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1561. hit = shu[shu["zjh"]==index]
  1562. if len(hit) > 0:
  1563. id = hit.iloc[0]["ID"]
  1564. beizhu = str(filtered.iloc[0]["BZBH"])
  1565. if 'nan' in beizhu:
  1566. pass
  1567. else:
  1568. beizhus = beizhu.split(";")
  1569. ##print(beizhus)
  1570. bzfile = pd.read_csv("de/xstj/JD_BeiZhuZK.csv")
  1571. bzfile2 = pd.read_csv("de/xstj/JD_BeiZhuFK.csv", dtype=str)
  1572. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1573. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1574. else:
  1575. return None, None, None, None, None, None, None
  1576. ####rengong
  1577. rgde = []
  1578. rg = pd.read_csv("de/xstj/JD_GuJiaRG.csv")
  1579. filtered1 = rg[rg["DEBH"]==debh]
  1580. for i in range(len(filtered1)):
  1581. rgde_ = {}
  1582. gr = filtered1.iloc[i]["RGR"]##gongri
  1583. gf = filtered1.iloc[i]["RGF"]##gongfei
  1584. rcjID = filtered1.iloc[i]["RcjID"]
  1585. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1586. filtered2 = detail[detail["RcjID"]==rcjID]
  1587. if len(filtered2) > 0:
  1588. CLBH = filtered2.iloc[0]["CLBH"]
  1589. CLMC = filtered2.iloc[0]["CLMC"]
  1590. JLDW = filtered2.iloc[0]["JLDW"]
  1591. YSJG = filtered2.iloc[0]["YSJG"]
  1592. rgde_["CLBH"] = CLBH
  1593. rgde_["CLMC"] = CLMC
  1594. rgde_["JLDW"] = JLDW
  1595. rgde_["YSJG"] = YSJG.item()
  1596. rgde_["gr"] = gr.item()
  1597. rgde_["gf"] = gf.item()
  1598. rgde.append(rgde_)
  1599. ##print(rgde)
  1600. ####jixie
  1601. jxde = []
  1602. jx = pd.read_csv("de/xstj/JD_GuJiaJX.csv")
  1603. filtered1 = jx[jx["DEBH"]==debh]
  1604. for i in range(len(filtered1)):
  1605. jxde_ = {}
  1606. sl = filtered1.iloc[i]["SL"]##shuliang
  1607. hj = filtered1.iloc[i]["HJ"]##hejia
  1608. rcjID = filtered1.iloc[i]["RcjID"]
  1609. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1610. filtered2 = detail[detail["RcjID"]==rcjID]
  1611. if len(filtered2) > 0:
  1612. jxbh = filtered2.iloc[0]["jxbh"]
  1613. jxmc = filtered2.iloc[0]["jxmc"]
  1614. DW = filtered2.iloc[0]["DW"]
  1615. tbdj = filtered2.iloc[0]["tbdj"]
  1616. jxde_["jxbh"] = jxbh
  1617. jxde_["jxmc"] = jxmc
  1618. jxde_["DW"] = DW
  1619. jxde_["tbdj"] = tbdj.item()
  1620. jxde_["sl"] = sl.item()
  1621. jxde_["hj"] = hj.item()
  1622. jxde.append(jxde_)
  1623. ####cailiao
  1624. clde = []
  1625. cl = pd.read_csv("de/xstj/JD_GuJiaCL.csv")
  1626. filtered1 = cl[cl["DEBH"]==debh]
  1627. for i in range(len(filtered1)):
  1628. clde_ = {}
  1629. SL = filtered1.iloc[i]["SL"]##shuliang
  1630. HJ = filtered1.iloc[i]["HJ"]##hejia
  1631. rcjID = filtered1.iloc[i]["RcjID"]
  1632. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1633. filtered2 = detail[detail["RcjID"]==rcjID]
  1634. detail_ = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1635. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1636. if len(filtered2) > 0 and len(filtered2_) == 0:
  1637. CLBH = filtered2.iloc[0]["CLBH"]
  1638. CLMC = filtered2.iloc[0]["CLMC"]
  1639. JLDW = filtered2.iloc[0]["JLDW"]
  1640. YSJG = filtered2.iloc[0]["YSJG"]
  1641. clde_["CLBH"] = CLBH
  1642. clde_["CLMC"] = CLMC
  1643. clde_["JLDW"] = JLDW
  1644. clde_["YSJG"] = YSJG.item()
  1645. clde_["SL"] = SL.item()
  1646. clde_["HJ"] = HJ.item()
  1647. clde.append(clde_)
  1648. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1649. CLBH = filtered2_.iloc[0]["PBBH"]
  1650. CLMC = filtered2_.iloc[0]["PBMC"]
  1651. JLDW = filtered2_.iloc[0]["DW"]
  1652. YSJG = filtered2_.iloc[0]["PBDJ"]
  1653. clde_["CLBH"] = CLBH.item()
  1654. clde_["CLMC"] = CLMC
  1655. clde_["JLDW"] = JLDW
  1656. clde_["YSJG"] = YSJG.item()
  1657. clde_["SL"] = SL.item()
  1658. clde_["HJ"] = HJ.item()
  1659. clde.append(clde_)
  1660. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1661. YSJG = filtered2.iloc[0]["YSJG"]
  1662. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1663. if float(HJ) < 0.00001:
  1664. if float(YSJG) < 0.00001:
  1665. CLBH = filtered2.iloc[0]["CLBH"]
  1666. CLMC = filtered2.iloc[0]["CLMC"]
  1667. JLDW = filtered2.iloc[0]["JLDW"]
  1668. YSJG = filtered2.iloc[0]["YSJG"]
  1669. clde_["CLBH"] = CLBH
  1670. clde_["CLMC"] = CLMC
  1671. clde_["JLDW"] = JLDW
  1672. clde_["YSJG"] = YSJG.item()
  1673. clde_["SL"] = SL.item()
  1674. clde_["HJ"] = HJ.item()
  1675. clde.append(clde_)
  1676. elif float(YSJG_) < 0.00001:
  1677. CLBH = filtered2_.iloc[0]["PBBH"]
  1678. CLMC = filtered2_.iloc[0]["PBMC"]
  1679. JLDW = filtered2_.iloc[0]["DW"]
  1680. YSJG = filtered2_.iloc[0]["PBDJ"]
  1681. clde_["CLBH"] = CLBH.item()
  1682. clde_["CLMC"] = CLMC
  1683. clde_["JLDW"] = JLDW
  1684. clde_["YSJG"] = YSJG.item()
  1685. clde_["SL"] = SL.item()
  1686. clde_["HJ"] = HJ.item()
  1687. clde.append(clde_)
  1688. else:
  1689. ratio = float(YSJG) / (float(HJ) / float(SL))
  1690. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1691. if abs(ratio - 1) < abs(ratio_ -1):
  1692. CLBH = filtered2.iloc[0]["CLBH"]
  1693. CLMC = filtered2.iloc[0]["CLMC"]
  1694. JLDW = filtered2.iloc[0]["JLDW"]
  1695. YSJG = filtered2.iloc[0]["YSJG"]
  1696. clde_["CLBH"] = CLBH
  1697. clde_["CLMC"] = CLMC
  1698. clde_["JLDW"] = JLDW
  1699. clde_["YSJG"] = YSJG.item()
  1700. clde_["SL"] = SL.item()
  1701. clde_["HJ"] = HJ.item()
  1702. clde.append(clde_)
  1703. else:
  1704. CLBH = filtered2_.iloc[0]["PBBH"]
  1705. CLMC = filtered2_.iloc[0]["PBMC"]
  1706. JLDW = filtered2_.iloc[0]["DW"]
  1707. YSJG = filtered2_.iloc[0]["PBDJ"]
  1708. clde_["CLBH"] = CLBH.item()
  1709. clde_["CLMC"] = CLMC
  1710. clde_["JLDW"] = JLDW
  1711. clde_["YSJG"] = YSJG.item()
  1712. clde_["SL"] = SL.item()
  1713. clde_["HJ"] = HJ.item()
  1714. clde.append(clde_)
  1715. 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)
  1716. 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
  1717. def getSingleDeXilie_yl(debh):
  1718. id = None
  1719. bz_selected = []
  1720. bz_selected2 = []
  1721. if "附注" in debh:
  1722. position = debh.find("附注")
  1723. debh = debh[:position]
  1724. if "*" in debh:
  1725. position = debh.find("*")
  1726. debh = debh[:position]
  1727. if debh.endswith("换"):
  1728. debh = debh[:-1]
  1729. if "[" in debh:
  1730. position = debh.find("[")
  1731. debh = debh[:position-1]
  1732. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1733. filtered = gj[gj["DEBH"]==debh]
  1734. ##print(filtered)
  1735. if len(filtered) > 0:
  1736. index = (filtered.iloc[0]["YSDELBH"])
  1737. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1738. hit = shu[shu["zjh"]==index]
  1739. if len(hit) > 0:
  1740. id = hit.iloc[0]["ID"]
  1741. beizhu = str(filtered.iloc[0]["BZBH"])
  1742. if 'nan' in beizhu:
  1743. pass
  1744. else:
  1745. beizhus = beizhu.split(";")
  1746. ##print(beizhus)
  1747. bzfile = pd.read_csv("de/yl/JD_BeiZhuZK.csv")
  1748. bzfile2 = pd.read_csv("de/yl/JD_BeiZhuFK.csv", dtype=str)
  1749. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1750. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1751. else:
  1752. return None, None, None, None, None, None, None
  1753. ####rengong
  1754. rgde = []
  1755. rg = pd.read_csv("de/yl/JD_GuJiaRG.csv")
  1756. filtered1 = rg[rg["DEBH"]==debh]
  1757. for i in range(len(filtered1)):
  1758. rgde_ = {}
  1759. gr = filtered1.iloc[i]["RGR"]##gongri
  1760. gf = filtered1.iloc[i]["RGF"]##gongfei
  1761. rcjID = filtered1.iloc[i]["RcjID"]
  1762. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1763. filtered2 = detail[detail["RcjID"]==rcjID]
  1764. if len(filtered2) > 0:
  1765. CLBH = filtered2.iloc[0]["CLBH"]
  1766. CLMC = filtered2.iloc[0]["CLMC"]
  1767. JLDW = filtered2.iloc[0]["JLDW"]
  1768. YSJG = filtered2.iloc[0]["YSJG"]
  1769. rgde_["CLBH"] = CLBH
  1770. rgde_["CLMC"] = CLMC
  1771. rgde_["JLDW"] = JLDW
  1772. rgde_["YSJG"] = YSJG.item()
  1773. rgde_["gr"] = gr.item()
  1774. rgde_["gf"] = gf.item()
  1775. rgde.append(rgde_)
  1776. ##print(rgde)
  1777. ####jixie
  1778. jxde = []
  1779. jx = pd.read_csv("de/yl/JD_GuJiaJX.csv")
  1780. filtered1 = jx[jx["DEBH"]==debh]
  1781. for i in range(len(filtered1)):
  1782. jxde_ = {}
  1783. sl = filtered1.iloc[i]["SL"]##shuliang
  1784. hj = filtered1.iloc[i]["HJ"]##hejia
  1785. rcjID = filtered1.iloc[i]["RcjID"]
  1786. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1787. filtered2 = detail[detail["RcjID"]==rcjID]
  1788. if len(filtered2) > 0:
  1789. jxbh = filtered2.iloc[0]["jxbh"]
  1790. jxmc = filtered2.iloc[0]["jxmc"]
  1791. DW = filtered2.iloc[0]["DW"]
  1792. tbdj = filtered2.iloc[0]["tbdj"]
  1793. jxde_["jxbh"] = jxbh
  1794. jxde_["jxmc"] = jxmc
  1795. jxde_["DW"] = DW
  1796. jxde_["tbdj"] = tbdj.item()
  1797. jxde_["sl"] = sl.item()
  1798. jxde_["hj"] = hj.item()
  1799. jxde.append(jxde_)
  1800. ####cailiao
  1801. clde = []
  1802. cl = pd.read_csv("de/yl/JD_GuJiaCL.csv")
  1803. filtered1 = cl[cl["DEBH"]==debh]
  1804. for i in range(len(filtered1)):
  1805. clde_ = {}
  1806. SL = filtered1.iloc[i]["SL"]##shuliang
  1807. HJ = filtered1.iloc[i]["HJ"]##hejia
  1808. rcjID = filtered1.iloc[i]["RcjID"]
  1809. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1810. filtered2 = detail[detail["RcjID"]==rcjID]
  1811. if len(filtered2) > 0:
  1812. CLBH = filtered2.iloc[0]["CLBH"]
  1813. CLMC = filtered2.iloc[0]["CLMC"]
  1814. JLDW = filtered2.iloc[0]["JLDW"]
  1815. YSJG = filtered2.iloc[0]["YSJG"]
  1816. clde_["CLBH"] = CLBH
  1817. clde_["CLMC"] = CLMC
  1818. clde_["JLDW"] = JLDW
  1819. clde_["YSJG"] = YSJG.item()
  1820. clde_["SL"] = SL.item()
  1821. clde_["HJ"] = HJ.item()
  1822. clde.append(clde_)
  1823. else:
  1824. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  1825. filtered2 = detail[detail["RcjID"]==rcjID]
  1826. if len(filtered2) > 0:
  1827. CLBH = filtered2.iloc[0]["PBBH"]
  1828. CLMC = filtered2.iloc[0]["PBMC"]
  1829. JLDW = filtered2.iloc[0]["DW"]
  1830. YSJG = filtered2.iloc[0]["PBDJ"]
  1831. clde_["CLBH"] = CLBH.item()
  1832. clde_["CLMC"] = CLMC
  1833. clde_["JLDW"] = JLDW
  1834. clde_["YSJG"] = YSJG.item()
  1835. clde_["SL"] = SL.item()
  1836. clde_["HJ"] = HJ.item()
  1837. clde.append(clde_)
  1838. 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)
  1839. 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
  1840. def getSingleDeXilie_az(debh):
  1841. id = None
  1842. bz_selected = []
  1843. bz_selected2 = []
  1844. if "附注" in debh:
  1845. position = debh.find("附注")
  1846. debh = debh[:position]
  1847. if "*" in debh:
  1848. position = debh.find("*")
  1849. debh = debh[:position]
  1850. if debh.endswith("换"):
  1851. debh = debh[:-1]
  1852. if "[" in debh:
  1853. position = debh.find("[")
  1854. debh = debh[:position-1]
  1855. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1856. filtered = gj[gj["DEBH"]==debh]
  1857. ##print(filtered)
  1858. if len(filtered) > 0:
  1859. index = (filtered.iloc[0]["YSDELBH"])
  1860. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1861. hit = shu[shu["zjh"]==index]
  1862. if len(hit) > 0:
  1863. id = hit.iloc[0]["ID"]
  1864. beizhu = str(filtered.iloc[0]["BZBH"])
  1865. if 'nan' in beizhu:
  1866. pass
  1867. else:
  1868. beizhus = beizhu.split(";")
  1869. ##print(beizhus)
  1870. bzfile = pd.read_csv("de/az/JD_BeiZhuZK.csv")
  1871. bzfile2 = pd.read_csv("de/az/JD_BeiZhuFK.csv", dtype=str)
  1872. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1873. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1874. else:
  1875. return None, None, None, None, None, None, None
  1876. ####rengong
  1877. rgde = []
  1878. rg = pd.read_csv("de/az/JD_GuJiaRG.csv")
  1879. filtered1 = rg[rg["DEBH"]==debh]
  1880. for i in range(len(filtered1)):
  1881. rgde_ = {}
  1882. gr = filtered1.iloc[i]["RGR"]##gongri
  1883. gf = filtered1.iloc[i]["RGF"]##gongfei
  1884. rcjID = filtered1.iloc[i]["RcjID"]
  1885. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1886. filtered2 = detail[detail["RcjID"]==rcjID]
  1887. if len(filtered2) > 0:
  1888. CLBH = filtered2.iloc[0]["CLBH"]
  1889. CLMC = filtered2.iloc[0]["CLMC"]
  1890. JLDW = filtered2.iloc[0]["JLDW"]
  1891. YSJG = filtered2.iloc[0]["YSJG"]
  1892. rgde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1893. rgde_["CLMC"] = CLMC
  1894. rgde_["JLDW"] = JLDW
  1895. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1896. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  1897. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  1898. rgde.append(rgde_)
  1899. ##print(rgde)
  1900. ####jixie
  1901. jxde = []
  1902. jx = pd.read_csv("de/az/JD_GuJiaJX.csv")
  1903. filtered1 = jx[jx["DEBH"]==debh]
  1904. for i in range(len(filtered1)):
  1905. jxde_ = {}
  1906. sl = filtered1.iloc[i]["SL"]##shuliang
  1907. hj = filtered1.iloc[i]["HJ"]##hejia
  1908. rcjID = filtered1.iloc[i]["RcjID"]
  1909. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  1910. filtered2 = detail[detail["RcjID"]==rcjID]
  1911. if len(filtered2) > 0:
  1912. jxbh = filtered2.iloc[0]["jxbh"]
  1913. jxmc = filtered2.iloc[0]["jxmc"]
  1914. DW = filtered2.iloc[0]["DW"]
  1915. tbdj = filtered2.iloc[0]["tbdj"]
  1916. jxde_["jxbh"] = jxbh
  1917. jxde_["jxmc"] = jxmc
  1918. jxde_["DW"] = DW
  1919. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1920. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  1921. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  1922. jxde.append(jxde_)
  1923. ####cailiao
  1924. clde = []
  1925. cl = pd.read_csv("de/az/JD_GuJiaCL.csv")
  1926. filtered1 = cl[cl["DEBH"]==debh]
  1927. for i in range(len(filtered1)):
  1928. clde_ = {}
  1929. SL = filtered1.iloc[i]["SL"]##shuliang
  1930. HJ = filtered1.iloc[i]["HJ"]##hejia
  1931. rcjID = filtered1.iloc[i]["RcjID"]
  1932. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1933. filtered2 = detail[detail["RcjID"]==rcjID]
  1934. if len(filtered2) > 0:
  1935. CLBH = filtered2.iloc[0]["CLBH"]
  1936. CLMC = filtered2.iloc[0]["CLMC"]
  1937. JLDW = filtered2.iloc[0]["JLDW"]
  1938. YSJG = filtered2.iloc[0]["YSJG"]
  1939. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1940. clde_["CLMC"] = CLMC
  1941. clde_["JLDW"] = JLDW
  1942. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1943. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1944. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1945. clde.append(clde_)
  1946. else:
  1947. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  1948. filtered2 = detail[detail["RcjID"]==rcjID]
  1949. if len(filtered2) > 0:
  1950. CLBH = filtered2.iloc[0]["PBBH"]
  1951. CLMC = filtered2.iloc[0]["PBMC"]
  1952. JLDW = filtered2.iloc[0]["DW"]
  1953. YSJG = filtered2.iloc[0]["PBDJ"]
  1954. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  1955. clde_["CLMC"] = CLMC
  1956. clde_["JLDW"] = JLDW
  1957. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1958. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  1959. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  1960. clde.append(clde_)
  1961. 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)
  1962. ##print(filtered)
  1963. 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
  1964. def getSingleDeXilie_sz(debh):
  1965. id = None
  1966. bz_selected = []
  1967. bz_selected2 = []
  1968. if "附注" in debh:
  1969. position = debh.find("附注")
  1970. debh = debh[:position]
  1971. if "*" in debh:
  1972. position = debh.find("*")
  1973. debh = debh[:position]
  1974. if debh.endswith("换"):
  1975. debh = debh[:-1]
  1976. if "[" in debh:
  1977. position = debh.find("[")
  1978. debh = debh[:position-1]
  1979. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1980. filtered = gj[gj["DEBH"]==debh]
  1981. ##print(filtered)
  1982. if len(filtered) > 0:
  1983. index = (filtered.iloc[0]["YSDELBH"])
  1984. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1985. hit = shu[shu["zjh"]==index]
  1986. if len(hit) > 0:
  1987. id = hit.iloc[0]["ID"]
  1988. beizhu = str(filtered.iloc[0]["BZBH"])
  1989. if 'nan' in beizhu:
  1990. pass
  1991. else:
  1992. beizhus = beizhu.split(";")
  1993. ##print(beizhus)
  1994. bzfile = pd.read_csv("de/sz/JD_BeiZhuZK.csv")
  1995. bzfile2 = pd.read_csv("de/sz/JD_BeiZhuFK.csv", dtype=str)
  1996. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1997. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1998. else:
  1999. return None, None, None, None, None, None, None
  2000. ####rengong
  2001. rgde = []
  2002. rg = pd.read_csv("de/sz/JD_GuJiaRG.csv")
  2003. filtered1 = rg[rg["DEBH"]==debh]
  2004. for i in range(len(filtered1)):
  2005. rgde_ = {}
  2006. gr = filtered1.iloc[i]["RGR"]##gongri
  2007. gf = filtered1.iloc[i]["RGF"]##gongfei
  2008. rcjID = filtered1.iloc[i]["RcjID"]
  2009. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2010. filtered2 = detail[detail["RcjID"]==rcjID]
  2011. if len(filtered2) > 0:
  2012. CLBH = filtered2.iloc[0]["CLBH"]
  2013. CLMC = filtered2.iloc[0]["CLMC"]
  2014. JLDW = filtered2.iloc[0]["JLDW"]
  2015. YSJG = filtered2.iloc[0]["YSJG"]
  2016. rgde_["CLBH"] = CLBH
  2017. rgde_["CLMC"] = CLMC
  2018. rgde_["JLDW"] = JLDW
  2019. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2020. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2021. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2022. rgde.append(rgde_)
  2023. ##print(rgde)
  2024. ####jixie
  2025. jxde = []
  2026. jx = pd.read_csv("de/sz/JD_GuJiaJX.csv")
  2027. filtered1 = jx[jx["DEBH"]==debh]
  2028. for i in range(len(filtered1)):
  2029. jxde_ = {}
  2030. sl = filtered1.iloc[i]["SL"]##shuliang
  2031. hj = filtered1.iloc[i]["HJ"]##hejia
  2032. rcjID = filtered1.iloc[i]["RcjID"]
  2033. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  2034. filtered2 = detail[detail["RcjID"]==rcjID]
  2035. if len(filtered2) > 0:
  2036. jxbh = filtered2.iloc[0]["jxbh"]
  2037. jxmc = filtered2.iloc[0]["jxmc"]
  2038. DW = filtered2.iloc[0]["DW"]
  2039. tbdj = filtered2.iloc[0]["tbdj"]
  2040. jxde_["jxbh"] = jxbh
  2041. jxde_["jxmc"] = jxmc
  2042. jxde_["DW"] = DW
  2043. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2044. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2045. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2046. jxde.append(jxde_)
  2047. ####cailiao
  2048. clde = []
  2049. cl = pd.read_csv("de/sz/JD_GuJiaCL.csv")
  2050. filtered1 = cl[cl["DEBH"]==debh]
  2051. for i in range(len(filtered1)):
  2052. clde_ = {}
  2053. SL = filtered1.iloc[i]["SL"]##shuliang
  2054. HJ = filtered1.iloc[i]["HJ"]##hejia
  2055. rcjID = filtered1.iloc[i]["RcjID"]
  2056. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2057. filtered2 = detail[detail["RcjID"]==rcjID]
  2058. detail_ = pd.read_csv("de/sz/JD_PeiBi.csv")
  2059. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2060. if len(filtered2) > 0 and len(filtered2_) == 0:
  2061. CLBH = filtered2.iloc[0]["CLBH"]
  2062. CLMC = filtered2.iloc[0]["CLMC"]
  2063. JLDW = filtered2.iloc[0]["JLDW"]
  2064. YSJG = filtered2.iloc[0]["YSJG"]
  2065. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2066. clde_["CLMC"] = CLMC
  2067. clde_["JLDW"] = JLDW
  2068. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2069. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2070. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2071. clde.append(clde_)
  2072. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2073. CLBH = filtered2_.iloc[0]["PBBH"]
  2074. CLMC = filtered2_.iloc[0]["PBMC"]
  2075. JLDW = filtered2_.iloc[0]["DW"]
  2076. YSJG = filtered2_.iloc[0]["PBDJ"]
  2077. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2078. clde_["CLMC"] = CLMC
  2079. clde_["JLDW"] = JLDW
  2080. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2081. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2082. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2083. clde.append(clde_)
  2084. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2085. YSJG = filtered2.iloc[0]["YSJG"]
  2086. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2087. print(debh)
  2088. if float(HJ) < 0.00001:
  2089. if float(YSJG) < 0.00001:
  2090. CLBH = filtered2.iloc[0]["CLBH"]
  2091. CLMC = filtered2.iloc[0]["CLMC"]
  2092. JLDW = filtered2.iloc[0]["JLDW"]
  2093. YSJG = filtered2.iloc[0]["YSJG"]
  2094. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2095. clde_["CLMC"] = CLMC
  2096. clde_["JLDW"] = JLDW
  2097. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2098. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2099. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2100. clde.append(clde_)
  2101. elif float(YSJG_) < 0.00001:
  2102. CLBH = filtered2_.iloc[0]["PBBH"]
  2103. CLMC = filtered2_.iloc[0]["PBMC"]
  2104. JLDW = filtered2_.iloc[0]["DW"]
  2105. YSJG = filtered2_.iloc[0]["PBDJ"]
  2106. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2107. clde_["CLMC"] = CLMC
  2108. clde_["JLDW"] = JLDW
  2109. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2110. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2111. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2112. clde.append(clde_)
  2113. else:
  2114. ratio = float(YSJG) / (float(HJ) / float(SL))
  2115. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2116. if abs(ratio - 1) < abs(ratio_ - 1):
  2117. CLBH = filtered2.iloc[0]["CLBH"]
  2118. CLMC = filtered2.iloc[0]["CLMC"]
  2119. JLDW = filtered2.iloc[0]["JLDW"]
  2120. YSJG = filtered2.iloc[0]["YSJG"]
  2121. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2122. clde_["CLMC"] = CLMC
  2123. clde_["JLDW"] = JLDW
  2124. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2125. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2126. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2127. clde.append(clde_)
  2128. else:
  2129. CLBH = filtered2_.iloc[0]["PBBH"]
  2130. CLMC = filtered2_.iloc[0]["PBMC"]
  2131. JLDW = filtered2_.iloc[0]["DW"]
  2132. YSJG = filtered2_.iloc[0]["PBDJ"]
  2133. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2134. clde_["CLMC"] = CLMC
  2135. clde_["JLDW"] = JLDW
  2136. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2137. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2138. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2139. clde.append(clde_)
  2140. 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)
  2141. 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
  2142. def getSingleDeXilie_tj(debh):
  2143. id = None
  2144. bz_selected = []
  2145. bz_selected2 = []
  2146. if "附注" in debh:
  2147. position = debh.find("附注")
  2148. debh = debh[:position]
  2149. if "*" in debh:
  2150. position = debh.find("*")
  2151. debh = debh[:position]
  2152. if debh.endswith("换"):
  2153. debh = debh[:-1]
  2154. if "[" in debh:
  2155. position = debh.find("[")
  2156. debh = debh[:position-1]
  2157. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  2158. filtered = gj[gj["DEBH"]==debh]
  2159. ##print(filtered)
  2160. if len(filtered) > 0:
  2161. index = int(filtered.iloc[0]["YSDELBH"])
  2162. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  2163. hit = shu[shu["zjh"]==index]
  2164. if len(hit) > 0:
  2165. id = hit.iloc[0]["ID"]
  2166. beizhu = str(filtered.iloc[0]["BZBH"])
  2167. if 'nan' in beizhu:
  2168. pass
  2169. else:
  2170. beizhus = beizhu.split(";")
  2171. ##print(beizhus)
  2172. bzfile = pd.read_csv("de/tj/JD_BeiZhuZK.csv")
  2173. bzfile2 = pd.read_csv("de/tj/JD_BeiZhuFK.csv", dtype=str)
  2174. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2175. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2176. else:
  2177. return None, None, None, None, None, None, None
  2178. ####rengong
  2179. rgde = []
  2180. rg = pd.read_csv("de/tj/JD_GuJiaRG.csv")
  2181. filtered1 = rg[rg["DEBH"]==debh]
  2182. for i in range(len(filtered1)):
  2183. rgde_ = {}
  2184. gr = filtered1.iloc[i]["RGR"]##gongri
  2185. gf = filtered1.iloc[i]["RGF"]##gongfei
  2186. rcjID = filtered1.iloc[i]["RcjID"]
  2187. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2188. filtered2 = detail[detail["RcjID"]==rcjID]
  2189. if len(filtered2) > 0:
  2190. CLBH = filtered2.iloc[0]["CLBH"]
  2191. CLMC = filtered2.iloc[0]["CLMC"]
  2192. JLDW = filtered2.iloc[0]["JLDW"]
  2193. YSJG = filtered2.iloc[0]["YSJG"]
  2194. rgde_["CLBH"] = CLBH
  2195. rgde_["CLMC"] = CLMC
  2196. rgde_["JLDW"] = JLDW
  2197. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2198. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2199. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2200. rgde.append(rgde_)
  2201. ##print(rgde)
  2202. ####jixie
  2203. jxde = []
  2204. jx = pd.read_csv("de/tj/JD_GuJiaJX.csv")
  2205. filtered1 = jx[jx["DEBH"]==debh]
  2206. for i in range(len(filtered1)):
  2207. jxde_ = {}
  2208. sl = filtered1.iloc[i]["SL"]##shuliang
  2209. hj = filtered1.iloc[i]["HJ"]##hejia
  2210. rcjID = filtered1.iloc[i]["RcjID"]
  2211. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  2212. filtered2 = detail[detail["RcjID"]==rcjID]
  2213. if len(filtered2) > 0:
  2214. jxbh = filtered2.iloc[0]["jxbh"]
  2215. jxmc = filtered2.iloc[0]["jxmc"]
  2216. DW = filtered2.iloc[0]["DW"]
  2217. tbdj = filtered2.iloc[0]["tbdj"]
  2218. jxde_["jxbh"] = jxbh
  2219. jxde_["jxmc"] = jxmc
  2220. jxde_["DW"] = DW
  2221. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2222. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2223. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2224. jxde.append(jxde_)
  2225. ####cailiao
  2226. clde = []
  2227. cl = pd.read_csv("de/tj/JD_GuJiaCL.csv")
  2228. filtered1 = cl[cl["DEBH"]==debh]
  2229. for i in range(len(filtered1)):
  2230. clde_ = {}
  2231. SL = filtered1.iloc[i]["SL"]##shuliang
  2232. HJ = filtered1.iloc[i]["HJ"]##hejia
  2233. rcjID = filtered1.iloc[i]["RcjID"]
  2234. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2235. filtered2 = detail[detail["RcjID"]==rcjID]
  2236. detail_ = pd.read_csv("de/tj/JD_PeiBi.csv")
  2237. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2238. if len(filtered2) > 0 and len(filtered2_) == 0:
  2239. CLBH = filtered2.iloc[0]["CLBH"]
  2240. CLMC = filtered2.iloc[0]["CLMC"]
  2241. JLDW = filtered2.iloc[0]["JLDW"]
  2242. YSJG = filtered2.iloc[0]["YSJG"]
  2243. clde_["CLBH"] = CLBH
  2244. clde_["CLMC"] = CLMC
  2245. clde_["JLDW"] = JLDW
  2246. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2247. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2248. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2249. clde.append(clde_)
  2250. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2251. CLBH = filtered2_.iloc[0]["PBBH"]
  2252. CLMC = filtered2_.iloc[0]["PBMC"]
  2253. JLDW = filtered2_.iloc[0]["DW"]
  2254. YSJG = filtered2_.iloc[0]["PBDJ"]
  2255. clde_["CLBH"] = CLBH
  2256. clde_["CLMC"] = CLMC
  2257. clde_["JLDW"] = JLDW
  2258. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2259. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2260. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2261. clde.append(clde_)
  2262. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2263. YSJG = filtered2.iloc[0]["YSJG"]
  2264. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2265. if float(HJ) < 0.00001:
  2266. if float(YSJG) < 0.00001:
  2267. CLBH = filtered2.iloc[0]["CLBH"]
  2268. CLMC = filtered2.iloc[0]["CLMC"]
  2269. JLDW = filtered2.iloc[0]["JLDW"]
  2270. YSJG = filtered2.iloc[0]["YSJG"]
  2271. clde_["CLBH"] = CLBH
  2272. clde_["CLMC"] = CLMC
  2273. clde_["JLDW"] = JLDW
  2274. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2275. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2276. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2277. clde.append(clde_)
  2278. elif float(YSJG_) < 0.00001:
  2279. CLBH = filtered2_.iloc[0]["PBBH"]
  2280. CLMC = filtered2_.iloc[0]["PBMC"]
  2281. JLDW = filtered2_.iloc[0]["DW"]
  2282. YSJG = filtered2_.iloc[0]["PBDJ"]
  2283. clde_["CLBH"] = CLBH
  2284. clde_["CLMC"] = CLMC
  2285. clde_["JLDW"] = JLDW
  2286. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2287. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2288. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2289. clde.append(clde_)
  2290. else:
  2291. ratio = float(YSJG) / (float(HJ) / float(SL))
  2292. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2293. if abs(ratio - 1) < abs(ratio_ - 1):
  2294. CLBH = filtered2.iloc[0]["CLBH"]
  2295. CLMC = filtered2.iloc[0]["CLMC"]
  2296. JLDW = filtered2.iloc[0]["JLDW"]
  2297. YSJG = filtered2.iloc[0]["YSJG"]
  2298. clde_["CLBH"] = CLBH
  2299. clde_["CLMC"] = CLMC
  2300. clde_["JLDW"] = JLDW
  2301. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2302. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2303. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2304. clde.append(clde_)
  2305. else:
  2306. CLBH = filtered2_.iloc[0]["PBBH"]
  2307. CLMC = filtered2_.iloc[0]["PBMC"]
  2308. JLDW = filtered2_.iloc[0]["DW"]
  2309. YSJG = filtered2_.iloc[0]["PBDJ"]
  2310. clde_["CLBH"] = CLBH
  2311. clde_["CLMC"] = CLMC
  2312. clde_["JLDW"] = JLDW
  2313. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2314. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2315. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2316. clde.append(clde_)
  2317. 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)
  2318. 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
  2319. def getDwgc(root, id, Zylb):
  2320. result = []
  2321. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2322. item = None
  2323. for child in root:
  2324. if child.tag == "Dxgcxx":
  2325. for child1 in child:
  2326. Dwgcbh = child1.attrib["Dwgcbh"]
  2327. if Dwgcbh == id:
  2328. item = child1
  2329. break
  2330. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2331. id = id + "Zylb" + Zylb
  2332. for child in item:
  2333. if child.tag == "Fywj":
  2334. result.append({"id": id + "bao jia hui zong", "label": "报价汇总表"})
  2335. elif child.tag == "Gfsj":
  2336. result.append({"id": id + "gui fei shui jin", "label": "规费税金"})
  2337. elif child.tag == "Qdxm":
  2338. result.append({"id": id + "qing dan xiang mu", "label": "清单项目"})
  2339. elif child.tag == "Csxm":
  2340. result.append({"id": id + "cuo shi xiang mu", "label": "措施项目"})
  2341. elif child.tag == "Qtxm":
  2342. result.append({"id": id +"qi ta xiang mu", "label": "其他项目"})
  2343. elif child.tag == "Zlje":
  2344. result.append({"id": id +"zan lie jin e", "label": "暂列金额"})
  2345. elif child.tag == "Clzg":
  2346. result.append({"id": id +"cai liao zan gu jia", "label": "材料暂估价"})
  2347. elif child.tag == "Zygczg":
  2348. result.append({"id": id + "zhuan ye gong cheng zan gu jia", "label": "专业工程暂估价"})
  2349. elif child.tag == "Jrg":
  2350. result.append({"id": id + "ji ri gong", "label": "计日工"})
  2351. elif child.tag == "Zcbfwf":
  2352. result.append({"id": id + "zong cheng bao fu wu fei", "label": "总承包服务费"})
  2353. elif child.tag == "Zjxmjdkzffj":
  2354. 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"})
  2355. elif child.tag == "Fbrgycl":
  2356. result.append({"id": id + "fa bao ren gong ying cai liao", "label": "发包人供应材料"})
  2357. elif child.tag == "Cbrgycl":
  2358. result.append({"id": id + "cheng bao ren gong ying cai liao", "label": "承包人供应材料"})
  2359. elif child.tag == "Rcjhz":
  2360. result.append({"id": id + "ren cai ji hui zong", "label": "人材机汇总"})
  2361. else:
  2362. print(child.tag)
  2363. print("WARNING####################################################################")
  2364. return result
  2365. def getDjcs(root, id):
  2366. result = []
  2367. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2368. item = None
  2369. for child in root:
  2370. if child.tag == "Dxgcxx":
  2371. for child1 in child:
  2372. Dwgcbh = child1.attrib["Dwgcbh"]
  2373. if Dwgcbh == id:
  2374. item = child1
  2375. break
  2376. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2377. Fywj = None
  2378. for child in item:
  2379. if child.tag == 'Csxm':
  2380. Fywj= child
  2381. break
  2382. Djcs_parent = None
  2383. for child in Fywj:
  2384. if child.tag == 'DjCs':
  2385. Djcs_parent = child
  2386. break
  2387. for child in Djcs_parent:
  2388. ##child is mx {
  2389. result.append({
  2390. "序号": child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  2391. "项目特征" : child.attrib["Xmtz"],
  2392. "计算规则" : child.attrib["Jsgz"], "单位" : child.attrib["Dw"], "数量" : child.attrib["Sl"],
  2393. "综合单价" : child.attrib["Zhdj"], "合价" : child.attrib["Zhhj"], "人工费" : child.attrib["Rgf"],
  2394. "主材费" : child.attrib["Zcf"],
  2395. "设备费" : child.attrib["Sbf"], "辅材费" : child.attrib["Fcf"], "材料费" : child.attrib["Clf"],
  2396. "机械费" : child.attrib["Jxf"], "管理费" : child.attrib["Glf"], "利润" : child.attrib["Lr"],
  2397. "暂估价" : child.attrib["Zgj"], "综合人工工日" : child.attrib["Zgr"] })
  2398. __children = []
  2399. zj_parent = None
  2400. for grandchild in child:
  2401. if grandchild.tag == "Csxdezj":
  2402. zj_parent = grandchild
  2403. if zj_parent:
  2404. for entry in zj_parent:
  2405. key = str(uuid.uuid4())
  2406. entry.set("key", key)
  2407. __children.append({
  2408. "key": key,
  2409. "序号": None, "清单编码": entry.attrib["Debm"], "名称" : entry.attrib["Mc"],
  2410. "项目特征" : None,
  2411. "计算规则" : None, "单位" : entry.attrib["Dw"], "数量" : entry.attrib["DwQdSl"],
  2412. "综合单价" : entry.attrib["Dj"], "合价" : entry.attrib["Hj"], "人工费" : entry.attrib["Rgf"],
  2413. "主材费" : entry.attrib["Zcf"],
  2414. "设备费" : entry.attrib["Sbf"], "辅材费" : entry.attrib["Fcf"], "材料费" : entry.attrib["Clf"],
  2415. "机械费" : entry.attrib["Jxf"], "管理费" : entry.attrib["Glf"], "利润" : entry.attrib["Lr"],
  2416. "暂估价" : None, "综合人工工日" : None })
  2417. if len(__children) > 0:
  2418. result[-1]["__children"] = __children
  2419. return result