service.py 127 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_xsazfy(debh):
  777. id = "None"
  778. if "-F1" in debh:
  779. id = "185"
  780. elif "-F2" in debh:
  781. id = "186"
  782. elif "-F3" in debh:
  783. id = "187"
  784. r_debh = debh.split("!")[0]
  785. if len(debh.split("!")) == 1:
  786. return json.dumps({
  787. "reverse": id,
  788. "rgde": [],
  789. "jxde": [],
  790. "clde": [],
  791. "actual_zhuanye": 60,
  792. "bz_selected": {"BZBH": {}},
  793. "bz_selected2": {"BZBH": {}}
  794. }, ensure_ascii=False)
  795. gclmc = debh.split("!")[1]
  796. return json.dumps({
  797. "reverse": id,
  798. "DEBH": {"111": r_debh},
  799. "GCLMC": {"111": gclmc},
  800. "DW": {"111": '项'},
  801. "rgde": [],
  802. "jxde": [],
  803. "clde": [],
  804. "actual_zhuanye": 60,
  805. "bz_selected": {"BZBH": {}},
  806. "bz_selected2": {"BZBH": {}}
  807. }, ensure_ascii=False)
  808. def read_singledexilie_azfy(debh):
  809. id = "None"
  810. if "-F1" in debh:
  811. id = "2076"
  812. elif "-F2" in debh:
  813. id = "2077"
  814. elif "-F3" in debh:
  815. id = "2078"
  816. elif "-F4" in debh:
  817. id = "2079"
  818. elif "-F5" in debh:
  819. if '4-F5' in debh:
  820. id = "2081"
  821. elif '5-F5' in debh:
  822. id = '2082'
  823. elif '7-F5' in debh:
  824. id = '2083'
  825. elif '9-F5' in debh:
  826. id = '2084'
  827. elif '10-F5' in debh:
  828. id = '2085'
  829. elif '11-F5' in debh:
  830. id = '2086'
  831. elif "-F6" in debh:
  832. id = "2087"
  833. r_debh = debh.split("!")[0]
  834. if len(debh.split("!")) == 1:
  835. return json.dumps({
  836. "reverse": id,
  837. "rgde": [],
  838. "jxde": [],
  839. "clde": [],
  840. "actual_zhuanye": 30,
  841. "bz_selected": {"BZBH": {}},
  842. "bz_selected2": {"BZBH": {}}
  843. }, ensure_ascii=False)
  844. gclmc = debh.split("!")[1]
  845. return json.dumps({
  846. "reverse": id,
  847. "DEBH": {"111": r_debh},
  848. "GCLMC": {"111": gclmc},
  849. "DW": {"111": '项'},
  850. "rgde": [],
  851. "jxde": [],
  852. "clde": [],
  853. "actual_zhuanye": 30,
  854. "bz_selected": {"BZBH": {}},
  855. "bz_selected2": {"BZBH": {}}
  856. }, ensure_ascii=False)
  857. def getDeXilie_xsazfy(value, id):
  858. if int(id) == 184:
  859. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  860. if int(id) == 185:
  861. data = {'DW': ['项', '项', '项'],
  862. 'DEBH': ['1-F1', '2-F1', '3-F1'],
  863. "GCLMC": [ "第一章" , "第二章", "第三章"],
  864. "GCLSJDJ": ["0", "0", "0"]}
  865. df = pd.DataFrame(data)
  866. return df.to_json(force_ascii=False)
  867. if int(id) == 186:
  868. data = {'DW': ['项', '项', '项'],
  869. 'DEBH': ['1-F2', '2-F2', '3-F2'],
  870. "GCLMC": [ "第一章" , "第二章", "第三章"],
  871. "GCLSJDJ": ["0", "0", "0"]}
  872. df = pd.DataFrame(data)
  873. return df.to_json(force_ascii=False)
  874. if int(id) == 187:
  875. data = {'DW': ['项', '项', '项'],
  876. 'DEBH': ['1-F3', '2-F3', '3-F3'],
  877. "GCLMC": [ "第一章" , "第二章", "第三章"],
  878. "GCLSJDJ": ["0", "0", "0"]}
  879. df = pd.DataFrame(data)
  880. return df.to_json(force_ascii=False)
  881. def getDeXilie_azfy(value, id):
  882. if int(id) == 2075 or int(id) == 2080:
  883. return "{\"Unnamed: 0\":{},\"id\":{},\"DEBH\":{},\"GCLMC\":{},\"GCLSJDJ\":{},\"DW\":{},\"DeId\":{}}"
  884. if int(id) == 2076:
  885. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项", "项", "项", "项", "项", "项"],
  886. 'DEBH': ['2-F1', '2-F1', '3-F1', '3-F1', '4-F1',
  887. '5-F1', '6-F1', '7-F1', '8-F1', '9-F1', '10-F1', '11-F1', '11-F1', '11-F1', '11-F1', '11-F1'],
  888. "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)",
  889. "第三册除静置设备制作以外(定额3-616~3-9999)", "第四册",
  890. "第五册", "第六册", "第七册", "第八册", "第九册", "第十册",
  891. "第十一册刷油工程(定额11-51~11-329)",
  892. "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"],
  893. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  894. df = pd.DataFrame(data)
  895. return df.to_json(force_ascii=False)
  896. if int(id) == 2077:
  897. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项','项','项',
  898. '项','项','项','项','项','项','项','项','项','项',
  899. '项','项','项',
  900. '项','项', "项",'项','项','项','项', "项",'项', "项"],
  901. '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',
  902. '4-F2', '5-F2', '5-F2', '5-F2','6-F2',
  903. '7-F2', '9-F2','9-F2','9-F2','9-F2', '10-F2','10-F2','10-F2','10-F2',
  904. '11-F2','11-F2','11-F2','11-F2', '11-F2','11-F2','11-F2' ],
  905. "GCLMC": ["第一册第1-6章(定额1-1~1-571)10-15m",
  906. "第一册第1-6章(定额1-1~1-571)15-20m",
  907. "第一册第1-6章(定额1-1~1-571)20-25m",
  908. "第一册第1-6章(定额1-1~1-571)25-30m",
  909. "第一册第1-6章(定额1-1~1-571)30-40m",
  910. "第一册第1-6章(定额1-1~1-571)40m以上",
  911. "第一册第8-14章(定额1-672~1-9999)10-15m",
  912. "第一册第8-14章(定额1-672~1-9999)15-20m",
  913. "第一册第8-14章(定额1-672~1-9999)20-25m",
  914. "第一册第8-14章(定额1-672~1-9999)25-30m",
  915. "第一册第8-14章(定额1-672~1-9999)30-40m",
  916. "第一册第8-14章(定额1-672~1-9999)40m以上",
  917. "第四册",
  918. "第五册5m以上到10m以内",
  919. "第五册10-20m",
  920. "第五册20m以上",
  921. "第六册", "第七册",
  922. "第九册5m以上到8m以内",
  923. "第九册8-12m",
  924. "第九册12-16m",
  925. "第九册16-20m",
  926. "第十册3.6-8m以内",
  927. "第十册8-12m以内",
  928. "第十册12-16m以内",
  929. "第十册16-20m",
  930. "第十一册6-20m",
  931. "第十一册20-30m",
  932. "第十一册30-40m",
  933. "第十一册40-50m",
  934. "第十一册50-60m",
  935. "第十一册60-70m",
  936. "第十一册80m以上",
  937. ],
  938. "GCLSJDJ": ["0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  939. "0", "0", '0', '0',"0", "0", "0", "0", "0", "0",
  940. "0","0", "0",
  941. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  942. df = pd.DataFrame(data)
  943. return df.to_json(force_ascii=False)
  944. if int(id) == 2078:
  945. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  946. 'DEBH': ['1-F4', '1-F4', '2-F4', '3-F4', '4-F4',
  947. '5-F4', '6-F4', '7-F4', '8-F4', '9-F4', '11-F4'],
  948. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  949. "第三册", "第四册",
  950. "第五册", "第六册", "第七册", "第八册", "第九册",
  951. "第十一册", ],
  952. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  953. df = pd.DataFrame(data)
  954. return df.to_json(force_ascii=False)
  955. if int(id) == 2079:
  956. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项", "项"],
  957. 'DEBH': ['1-F5', '1-F5', '2-F5', '3-F5', '4-F5',
  958. '5-F5', '6-F5', '7-F5', '8-F5', '9-F5', '11-F5'],
  959. "GCLMC": ["第一册第1-6章", "第一册第8-14章", "第二册",
  960. "第三册", "第四册",
  961. "第五册", "第六册", "第七册", "第八册", "第九册",
  962. "第十一册", ],
  963. "GCLSJDJ": ["0", "0", "0", "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) == 2081:
  967. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  968. "项", '项', '项', '项', '项', "项", "项", "项"],
  969. 'DEBH': ['4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3',
  970. '4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-F3','4-F3', '4-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) == 2082:
  995. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  996. "项", '项', '项', '项', '项', "项", "项", "项"],
  997. 'DEBH': ['5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3',
  998. '5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-F3','5-F3', '5-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) == 2083:
  1023. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1024. "项", '项', '项', '项', '项', "项", "项", "项"],
  1025. 'DEBH': ['7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3',
  1026. '7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-F3','7-F3', '7-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) == 2084:
  1051. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1052. "项", '项', '项', '项', '项', "项", "项", "项"],
  1053. 'DEBH': ['9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3',
  1054. '9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3','9-F3', '9-F3'],
  1055. "GCLMC": ["9层或30m以内",
  1056. "12层或40m以内",
  1057. "15层或50m以内",
  1058. "18层或60m以内",
  1059. "21层或70m以内",
  1060. "24层或80m以内",
  1061. "27层或90m以内",
  1062. "30层或100m以内",
  1063. "33层或110m以内",
  1064. "36层或120m以内",
  1065. "40层或130m以内",
  1066. "42层或140m以内",
  1067. "45层或150m以内",
  1068. "48层或160m以内",
  1069. "51层或170m以内",
  1070. "54层或180m以内",
  1071. "57层或190m以内",
  1072. "60层或200m以内",
  1073. ],
  1074. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1075. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1076. df = pd.DataFrame(data)
  1077. return df.to_json(force_ascii=False)
  1078. if int(id) == 2085:
  1079. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1080. "项", '项', '项', '项', '项', "项", "项", "项"],
  1081. 'DEBH': ['10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3',
  1082. '10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3','10-F3', '10-F3'],
  1083. "GCLMC": ["9层或30m以内",
  1084. "12层或40m以内",
  1085. "15层或50m以内",
  1086. "18层或60m以内",
  1087. "21层或70m以内",
  1088. "24层或80m以内",
  1089. "27层或90m以内",
  1090. "30层或100m以内",
  1091. "33层或110m以内",
  1092. "36层或120m以内",
  1093. "40层或130m以内",
  1094. "42层或140m以内",
  1095. "45层或150m以内",
  1096. "48层或160m以内",
  1097. "51层或170m以内",
  1098. "54层或180m以内",
  1099. "57层或190m以内",
  1100. "60层或200m以内",
  1101. ],
  1102. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1103. "0", "0", "0", "0", "0", "0", "0", "0"]}
  1104. df = pd.DataFrame(data)
  1105. return df.to_json(force_ascii=False)
  1106. if int(id) == 2086:
  1107. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1108. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1109. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1110. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1111. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1112. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1113. '项', '项', '项', '项', '项', '项', '项', '项', "项", "项",
  1114. "项", '项'],
  1115. 'DEBH': ['11-F3', '11-F3',
  1116. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1117. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1118. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1119. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1120. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1121. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1122. '11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3','11-F3', '11-F3',
  1123. ],
  1124. "GCLMC": [
  1125. "(按通风空调工程)9层或30m以内",
  1126. "(按通风空调工程)12层或40m以内",
  1127. "(按通风空调工程)15层或50m以内",
  1128. "(按通风空调工程)18层或60m以内",
  1129. "(按通风空调工程)21层或70m以内",
  1130. "(按通风空调工程)24层或80m以内",
  1131. "(按通风空调工程)27层或90m以内",
  1132. "(按通风空调工程)30层或100m以内",
  1133. "(按通风空调工程)33层或110m以内",
  1134. "(按通风空调工程)36层或120m以内",
  1135. "(按通风空调工程)40层或130m以内",
  1136. "(按通风空调工程)42层或140m以内",
  1137. "(按通风空调工程)45层或150m以内",
  1138. "(按通风空调工程)48层或160m以内",
  1139. "(按通风空调工程)51层或170m以内",
  1140. "(按通风空调工程)54层或180m以内",
  1141. "(按通风空调工程)57层或190m以内",
  1142. "(按通风空调工程)60层或200m以内",
  1143. ############################
  1144. "(按消防工程)9层或30m以内",
  1145. "(按消防工程)12层或40m以内",
  1146. "(按消防工程)15层或50m以内",
  1147. "(按消防工程)18层或60m以内",
  1148. "(按消防工程)21层或70m以内",
  1149. "(按消防工程)24层或80m以内",
  1150. "(按消防工程)27层或90m以内",
  1151. "(按消防工程)30层或100m以内",
  1152. "(按消防工程)33层或110m以内",
  1153. "(按消防工程)36层或120m以内",
  1154. "(按消防工程)40层或130m以内",
  1155. "(按消防工程)42层或140m以内",
  1156. "(按消防工程)45层或150m以内",
  1157. "(按消防工程)48层或160m以内",
  1158. "(按消防工程)51层或170m以内",
  1159. "(按消防工程)54层或180m以内",
  1160. "(按消防工程)57层或190m以内",
  1161. "(按消防工程)60层或200m以内",
  1162. ############################
  1163. "(按给排水、采暖工程)9层或30m以内",
  1164. "(按给排水、采暖工程)12层或40m以内",
  1165. "(按给排水、采暖工程)15层或50m以内",
  1166. "(按给排水、采暖工程)18层或60m以内",
  1167. "(按给排水、采暖工程)21层或70m以内",
  1168. "(按给排水、采暖工程)24层或80m以内",
  1169. "(按给排水、采暖工程)27层或90m以内",
  1170. "(按给排水、采暖工程)30层或100m以内",
  1171. "(按给排水、采暖工程)33层或110m以内",
  1172. "(按给排水、采暖工程)36层或120m以内",
  1173. "(按给排水、采暖工程)40层或130m以内",
  1174. "(按给排水、采暖工程)42层或140m以内",
  1175. "(按给排水、采暖工程)45层或150m以内",
  1176. "(按给排水、采暖工程)48层或160m以内",
  1177. "(按给排水、采暖工程)51层或170m以内",
  1178. "(按给排水、采暖工程)54层或180m以内",
  1179. "(按给排水、采暖工程)57层或190m以内",
  1180. "(按给排水、采暖工程)60层或200m以内",
  1181. ############################
  1182. "(按电气工程)9层或30m以内",
  1183. "(按电气工程)12层或40m以内",
  1184. "(按电气工程)15层或50m以内",
  1185. "(按电气工程)18层或60m以内",
  1186. "(按电气工程)21层或70m以内",
  1187. "(按电气工程)24层或80m以内",
  1188. "(按电气工程)27层或90m以内",
  1189. "(按电气工程)30层或100m以内",
  1190. "(按电气工程)33层或110m以内",
  1191. "(按电气工程)36层或120m以内",
  1192. "(按电气工程)40层或130m以内",
  1193. "(按电气工程)42层或140m以内",
  1194. "(按电气工程)45层或150m以内",
  1195. "(按电气工程)48层或160m以内",
  1196. "(按电气工程)51层或170m以内",
  1197. "(按电气工程)54层或180m以内",
  1198. "(按电气工程)57层或190m以内",
  1199. "(按电气工程)60层或200m以内",
  1200. ],
  1201. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1202. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1203. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1204. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1205. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1206. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1207. "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",
  1208. "0", "0" ]}
  1209. df = pd.DataFrame(data)
  1210. return df.to_json(force_ascii=False)
  1211. if int(id) == 2087:
  1212. data = {'DW': ['项', '项', '项', '项', '项', '项', '项', '项', "项"],
  1213. 'DEBH': ['1-F6', '3-F6', '4-F6', '7-F6', '8-F6',
  1214. '10-F6', '10-F6', '10-F6', '11-F6'],
  1215. "GCLMC": ["第一册 站内工艺系统",
  1216. "第三册 站内工艺系统", "第四册 站内工艺系统",
  1217. "第七册", "第八册 站内工艺系统",
  1218. "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" ],
  1219. "GCLSJDJ": ["0", "0", "0", "0", "0", "0", "0", "0", "0"]}
  1220. df = pd.DataFrame(data)
  1221. return df.to_json(force_ascii=False)
  1222. def getDeXilie(value, id):
  1223. ##print(type(id))
  1224. if value == 10:
  1225. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  1226. elif value == 20:
  1227. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  1228. elif value == 30:
  1229. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  1230. elif value == 40:
  1231. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1232. elif value == 50:
  1233. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1234. else:
  1235. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1236. hit = shu[shu["ID"]==int(id)]
  1237. ##print(hit)
  1238. if len(hit) == 0:
  1239. return []
  1240. hit0 = hit.iloc[0]
  1241. index = str(hit0['zjh'])
  1242. ##print("index=" + index)
  1243. if value == 10:
  1244. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  1245. filtered = gj[gj["YSDELBH"]==int(index)]
  1246. elif value == 20:
  1247. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  1248. filtered = gj[gj["YSDELBH"]==(index)]
  1249. elif value == 30:
  1250. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  1251. filtered = gj[gj["YSDELBH"]==(index)]
  1252. elif value == 40:
  1253. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1254. filtered = gj[gj["YSDELBH"]==int(index)]
  1255. elif value == 50:
  1256. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1257. filtered = gj[gj["YSDELBH"]==int(index)]
  1258. else:
  1259. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1260. filtered = gj[gj["YSDELBH"]==int(index)]
  1261. 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)
  1262. return filtered.to_json(force_ascii=False)
  1263. def getPbxl(name, zhuanye):
  1264. if name == "0":
  1265. if zhuanye == 10:
  1266. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1267. elif zhuanye == 20:
  1268. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1269. elif zhuanye == 30:
  1270. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1271. elif zhuanye == 40:
  1272. gj = pd.read_csv("de/yl/JD_PeiBi.csv")
  1273. elif zhuanye == 50:
  1274. gj = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1275. elif zhuanye == 60:
  1276. gj = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1277. return gj.to_json(force_ascii=False)
  1278. shu = pd.read_csv("de/tj/JD_PeiBiFLB.csv")
  1279. hit = shu[shu["ID"]==int(name)]
  1280. ##print(hit)
  1281. if len(hit) == 0:
  1282. return []
  1283. hit0 = hit.iloc[0]
  1284. index = str(hit0['pblbh'])
  1285. index_list = index.split(";")
  1286. gj = pd.read_csv("de/tj/JD_PeiBi.csv")
  1287. filtered = gj[gj["PBBH"].str.startswith(tuple(index_list))]
  1288. return filtered.to_json(force_ascii=False)
  1289. def getJxxl(name, zhuanye):
  1290. if name == "0":
  1291. if zhuanye == 10:
  1292. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1293. elif zhuanye == 20:
  1294. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1295. elif zhuanye == 30:
  1296. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1297. elif zhuanye == 40:
  1298. gj = pd.read_csv("de/yl/JD_JiXieK.csv")
  1299. elif zhuanye == 50:
  1300. gj = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1301. elif zhuanye == 60:
  1302. gj = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1303. return gj.to_json(force_ascii=False)
  1304. shu = pd.read_csv("de/tj/JD_JiXieFLB.csv")
  1305. hit = shu[shu["ID"]==int(name)]
  1306. ##print(hit)
  1307. if len(hit) == 0:
  1308. return []
  1309. hit0 = hit.iloc[0]
  1310. index = str(hit0['jxlbh'])
  1311. index_list = index.split(";")
  1312. gj = pd.read_csv("de/tj/JD_JiXieK.csv")
  1313. filtered = gj[gj["jxbh"].str.startswith(tuple(index_list))]
  1314. return filtered.to_json(force_ascii=False)
  1315. def getClxl(name, zhuanye):
  1316. if name == "0":
  1317. if zhuanye == 10:
  1318. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1319. elif zhuanye == 20:
  1320. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1321. elif zhuanye == 30:
  1322. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1323. elif zhuanye == 40:
  1324. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1325. elif zhuanye == 50:
  1326. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1327. elif zhuanye == 60:
  1328. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1329. return gj.to_json(force_ascii=False)
  1330. if zhuanye == 10:
  1331. shu = pd.read_csv("de/tj/JD_CaiLiaoFLB.csv")
  1332. if zhuanye == 20:
  1333. shu = pd.read_csv("de/sz/JD_CaiLiaoFLB.csv")
  1334. if zhuanye == 30:
  1335. shu = pd.read_csv("de/az/JD_CaiLiaoFLB.csv")
  1336. if zhuanye == 40:
  1337. shu = pd.read_csv("de/yl/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1338. if zhuanye == 50:
  1339. shu = pd.read_csv("de/xstj/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1340. if zhuanye == 60:
  1341. shu = pd.read_csv("de/xsaz/JD_CaiLiaoFLB.csv", dtype={'cllbh': str})
  1342. hit = shu[shu["ID"]==int(name)]
  1343. ##print(hit)
  1344. if len(hit) == 0:
  1345. return []
  1346. hit0 = hit.iloc[0]
  1347. index = str(hit0['cllbh'])
  1348. index_list = index.split(";")
  1349. if zhuanye == 10:
  1350. gj = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  1351. if zhuanye == 20:
  1352. gj = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  1353. if zhuanye == 30:
  1354. gj = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  1355. if zhuanye == 40:
  1356. gj = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1357. if zhuanye == 50:
  1358. gj = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1359. if zhuanye == 60:
  1360. gj = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1361. ##print(index_list)
  1362. ##print(gj)
  1363. filtered = gj[gj["CLBH"].str.startswith(tuple(index_list))]
  1364. return filtered.to_json(force_ascii=False)
  1365. def getSingleDeXilie(zhuanye, debh):
  1366. if zhuanye == 10:
  1367. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1368. if A1:
  1369. return A1, A2, A3, A4, A5, A6, A7, 10
  1370. else:
  1371. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1372. return A1, A2, A3, A4,A5, A6, A7, 20
  1373. elif zhuanye == 20:##shizheng
  1374. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_sz(debh)
  1375. if A1:
  1376. return A1, A2, A3, A4, A5, A6, A7, 20
  1377. else:
  1378. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1379. if A1:
  1380. return A1, A2, A3, A4, A5, A6, A7, 10
  1381. else:
  1382. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1383. return A1, A2, A3, A4, A5, A6, A7, 30
  1384. elif zhuanye == 30:##anzhuang
  1385. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1386. return A1, A2, A3, A4, A5, A6, A7, 30
  1387. elif zhuanye == 40:##yuanlin
  1388. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_yl(debh)
  1389. return A1, A2, A3, A4, A5, A6, A7, 40
  1390. elif zhuanye == 50: ## xiushan tujian
  1391. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xstj(debh)
  1392. if A1:
  1393. return A1, A2, A3, A4, A5, A6, A7, 50
  1394. else:
  1395. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_tj(debh)
  1396. return A1, A2, A3, A4,A5, A6, A7, 10
  1397. else:
  1398. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_xsaz(debh)
  1399. if A1:
  1400. return A1, A2, A3, A4, A5, A6, A7, 60
  1401. else:
  1402. A1, A2, A3, A4, A5, A6, A7 = getSingleDeXilie_az(debh)
  1403. return A1, A2, A3, A4,A5, A6, A7, 30
  1404. def getSingleDeXilie_xsaz(debh):
  1405. id = None
  1406. bz_selected = []
  1407. bz_selected2 = []
  1408. if "附注" in debh:
  1409. position = debh.find("附注")
  1410. debh = debh[:position]
  1411. if "*" in debh:
  1412. position = debh.find("*")
  1413. debh = debh[:position]
  1414. if debh.endswith("换"):
  1415. debh = debh[:-1]
  1416. if "[" in debh:
  1417. position = debh.find("[")
  1418. debh = debh[:position-1]
  1419. gj = pd.read_csv("de/xsaz/JD_DanWeiGJ.csv")
  1420. filtered = gj[gj["DEBH"]==debh]
  1421. ##print(filtered)
  1422. if len(filtered) > 0:
  1423. index = (filtered.iloc[0]["YSDELBH"])
  1424. shu = pd.read_csv("de/xsaz/JD_DingEShu.csv")
  1425. hit = shu[shu["zjh"]==index]
  1426. if len(hit) > 0:
  1427. id = hit.iloc[0]["ID"]
  1428. beizhu = str(filtered.iloc[0]["BZBH"])
  1429. if 'nan' in beizhu:
  1430. pass
  1431. else:
  1432. beizhus = beizhu.split(";")
  1433. ##print(beizhus)
  1434. bzfile = pd.read_csv("de/xsaz/JD_BeiZhuZK.csv")
  1435. bzfile2 = pd.read_csv("de/xsaz/JD_BeiZhuFK.csv", dtype=str)
  1436. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1437. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1438. else:
  1439. return None, None, None, None, None, None, None
  1440. ####rengong
  1441. rgde = []
  1442. rg = pd.read_csv("de/xsaz/JD_GuJiaRG.csv")
  1443. filtered1 = rg[rg["DEBH"]==debh]
  1444. for i in range(len(filtered1)):
  1445. rgde_ = {}
  1446. gr = filtered1.iloc[i]["RGR"]##gongri
  1447. gf = filtered1.iloc[i]["RGF"]##gongfei
  1448. rcjID = filtered1.iloc[i]["RcjID"]
  1449. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1450. filtered2 = detail[detail["RcjID"]==rcjID]
  1451. if len(filtered2) > 0:
  1452. CLBH = filtered2.iloc[0]["CLBH"]
  1453. CLMC = filtered2.iloc[0]["CLMC"]
  1454. JLDW = filtered2.iloc[0]["JLDW"]
  1455. YSJG = filtered2.iloc[0]["YSJG"]
  1456. rgde_["CLBH"] = CLBH
  1457. rgde_["CLMC"] = CLMC
  1458. rgde_["JLDW"] = JLDW
  1459. rgde_["YSJG"] = YSJG.item()
  1460. rgde_["gr"] = gr.item()
  1461. rgde_["gf"] = gf.item()
  1462. rgde.append(rgde_)
  1463. ##print(rgde)
  1464. ####jixie
  1465. jxde = []
  1466. jx = pd.read_csv("de/xsaz/JD_GuJiaJX.csv")
  1467. filtered1 = jx[jx["DEBH"]==debh]
  1468. for i in range(len(filtered1)):
  1469. jxde_ = {}
  1470. sl = filtered1.iloc[i]["SL"]##shuliang
  1471. hj = filtered1.iloc[i]["HJ"]##hejia
  1472. rcjID = filtered1.iloc[i]["RcjID"]
  1473. detail = pd.read_csv("de/xsaz/JD_JiXieK.csv")
  1474. filtered2 = detail[detail["RcjID"]==rcjID]
  1475. if len(filtered2) > 0:
  1476. jxbh = filtered2.iloc[0]["jxbh"]
  1477. jxmc = filtered2.iloc[0]["jxmc"]
  1478. DW = filtered2.iloc[0]["DW"]
  1479. tbdj = filtered2.iloc[0]["tbdj"]
  1480. jxde_["jxbh"] = jxbh
  1481. jxde_["jxmc"] = jxmc
  1482. jxde_["DW"] = DW
  1483. jxde_["tbdj"] = tbdj.item()
  1484. jxde_["sl"] = sl.item()
  1485. jxde_["hj"] = hj.item()
  1486. jxde.append(jxde_)
  1487. ####cailiao
  1488. clde = []
  1489. cl = pd.read_csv("de/xsaz/JD_GuJiaCL.csv")
  1490. filtered1 = cl[cl["DEBH"]==debh]
  1491. for i in range(len(filtered1)):
  1492. clde_ = {}
  1493. SL = filtered1.iloc[i]["SL"]##shuliang
  1494. HJ = filtered1.iloc[i]["HJ"]##hejia
  1495. rcjID = filtered1.iloc[i]["RcjID"]
  1496. detail = pd.read_csv("de/xsaz/JD_CaiLiaoK.csv")
  1497. filtered2 = detail[detail["RcjID"]==rcjID]
  1498. detail_ = pd.read_csv("de/xsaz/JD_PeiBi.csv")
  1499. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1500. if len(filtered2) > 0 and len(filtered2_) == 0:
  1501. CLBH = filtered2.iloc[0]["CLBH"]
  1502. CLMC = filtered2.iloc[0]["CLMC"]
  1503. JLDW = filtered2.iloc[0]["JLDW"]
  1504. YSJG = filtered2.iloc[0]["YSJG"]
  1505. clde_["CLBH"] = CLBH
  1506. clde_["CLMC"] = CLMC
  1507. clde_["JLDW"] = JLDW
  1508. clde_["YSJG"] = YSJG.item()
  1509. clde_["SL"] = SL.item()
  1510. clde_["HJ"] = HJ.item()
  1511. clde.append(clde_)
  1512. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1513. CLBH = filtered2_.iloc[0]["PBBH"]
  1514. CLMC = filtered2_.iloc[0]["PBMC"]
  1515. JLDW = filtered2_.iloc[0]["DW"]
  1516. YSJG = filtered2_.iloc[0]["PBDJ"]
  1517. clde_["CLBH"] = CLBH.item()
  1518. clde_["CLMC"] = CLMC
  1519. clde_["JLDW"] = JLDW
  1520. clde_["YSJG"] = YSJG.item()
  1521. clde_["SL"] = SL.item()
  1522. clde_["HJ"] = HJ.item()
  1523. clde.append(clde_)
  1524. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1525. YSJG = filtered2.iloc[0]["YSJG"]
  1526. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1527. if float(HJ) < 0.00001:
  1528. if float(YSJG) < 0.00001:
  1529. CLBH = filtered2.iloc[0]["CLBH"]
  1530. CLMC = filtered2.iloc[0]["CLMC"]
  1531. JLDW = filtered2.iloc[0]["JLDW"]
  1532. YSJG = filtered2.iloc[0]["YSJG"]
  1533. clde_["CLBH"] = CLBH
  1534. clde_["CLMC"] = CLMC
  1535. clde_["JLDW"] = JLDW
  1536. clde_["YSJG"] = YSJG.item()
  1537. clde_["SL"] = SL.item()
  1538. clde_["HJ"] = HJ.item()
  1539. clde.append(clde_)
  1540. elif float(YSJG_) < 0.00001:
  1541. CLBH = filtered2_.iloc[0]["PBBH"]
  1542. CLMC = filtered2_.iloc[0]["PBMC"]
  1543. JLDW = filtered2_.iloc[0]["DW"]
  1544. YSJG = filtered2_.iloc[0]["PBDJ"]
  1545. clde_["CLBH"] = CLBH.item()
  1546. clde_["CLMC"] = CLMC
  1547. clde_["JLDW"] = JLDW
  1548. clde_["YSJG"] = YSJG.item()
  1549. clde_["SL"] = SL.item()
  1550. clde_["HJ"] = HJ.item()
  1551. clde.append(clde_)
  1552. else:
  1553. ratio = float(YSJG) / (float(HJ) / float(SL))
  1554. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1555. if abs(ratio - 1) < abs(ratio_ -1):
  1556. CLBH = filtered2.iloc[0]["CLBH"]
  1557. CLMC = filtered2.iloc[0]["CLMC"]
  1558. JLDW = filtered2.iloc[0]["JLDW"]
  1559. YSJG = filtered2.iloc[0]["YSJG"]
  1560. clde_["CLBH"] = CLBH
  1561. clde_["CLMC"] = CLMC
  1562. clde_["JLDW"] = JLDW
  1563. clde_["YSJG"] = YSJG.item()
  1564. clde_["SL"] = SL.item()
  1565. clde_["HJ"] = HJ.item()
  1566. clde.append(clde_)
  1567. else:
  1568. CLBH = filtered2_.iloc[0]["PBBH"]
  1569. CLMC = filtered2_.iloc[0]["PBMC"]
  1570. JLDW = filtered2_.iloc[0]["DW"]
  1571. YSJG = filtered2_.iloc[0]["PBDJ"]
  1572. clde_["CLBH"] = CLBH.item()
  1573. clde_["CLMC"] = CLMC
  1574. clde_["JLDW"] = JLDW
  1575. clde_["YSJG"] = YSJG.item()
  1576. clde_["SL"] = SL.item()
  1577. clde_["HJ"] = HJ.item()
  1578. clde.append(clde_)
  1579. 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)
  1580. 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
  1581. def getSingleDeXilie_xstj(debh):
  1582. id = None
  1583. bz_selected = []
  1584. bz_selected2 = []
  1585. additional = []
  1586. if "附注" in debh:
  1587. position = debh.find("附注")
  1588. debh = debh[:position]
  1589. if "*" in debh:
  1590. position = debh.find("*")
  1591. debh = debh[:position]
  1592. if debh.endswith("换"):
  1593. debh = debh[:-1]
  1594. if "[" in debh:
  1595. position = debh.find("[")
  1596. debh = debh[:position-1]
  1597. gj = pd.read_csv("de/xstj/JD_DanWeiGJ.csv")
  1598. filtered = gj[gj["DEBH"]==debh]
  1599. ##print(filtered)
  1600. if len(filtered) > 0:
  1601. index = (filtered.iloc[0]["YSDELBH"])
  1602. shu = pd.read_csv("de/xstj/JD_DingEShu.csv")
  1603. hit = shu[shu["zjh"]==index]
  1604. if len(hit) > 0:
  1605. id = hit.iloc[0]["ID"]
  1606. beizhu = str(filtered.iloc[0]["BZBH"])
  1607. if 'nan' in beizhu:
  1608. pass
  1609. else:
  1610. beizhus = beizhu.split(";")
  1611. ##print(beizhus)
  1612. bzfile = pd.read_csv("de/xstj/JD_BeiZhuZK.csv")
  1613. bzfile2 = pd.read_csv("de/xstj/JD_BeiZhuFK.csv", dtype=str)
  1614. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1615. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1616. bz_selected2 = bz_selected2.astype({'BH': str})
  1617. additional = bz_selected2['BH'].tolist()
  1618. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  1619. else:
  1620. return None, None, None, None, None, None, None
  1621. ####rengong
  1622. rgde = []
  1623. rg = pd.read_csv("de/xstj/JD_GuJiaRG.csv")
  1624. filtered1 = rg[rg["DEBH"]==debh]
  1625. for i in range(len(filtered1)):
  1626. rgde_ = {}
  1627. gr = filtered1.iloc[i]["RGR"]##gongri
  1628. gf = filtered1.iloc[i]["RGF"]##gongfei
  1629. rcjID = filtered1.iloc[i]["RcjID"]
  1630. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1631. filtered2 = detail[detail["RcjID"]==rcjID]
  1632. if len(filtered2) > 0:
  1633. CLBH = filtered2.iloc[0]["CLBH"]
  1634. CLMC = filtered2.iloc[0]["CLMC"]
  1635. JLDW = filtered2.iloc[0]["JLDW"]
  1636. YSJG = filtered2.iloc[0]["YSJG"]
  1637. rgde_["CLBH"] = CLBH
  1638. rgde_["CLMC"] = CLMC
  1639. rgde_["JLDW"] = JLDW
  1640. rgde_["YSJG"] = YSJG.item()
  1641. rgde_["gr"] = gr.item()
  1642. rgde_["gf"] = gf.item()
  1643. if CLBH in additional:
  1644. additional.remove(CLBH)
  1645. rgde.append(rgde_)
  1646. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1647. detail = detail[detail['RcjLb'].isin([1, '1'])]
  1648. added = detail[detail['CLBH'].isin(additional)]
  1649. for _, entry in added.iterrows():
  1650. rgde_ = {}
  1651. CLBH = entry["CLBH"]
  1652. CLMC = entry["CLMC"]
  1653. JLDW = entry["JLDW"]
  1654. YSJG = entry["YSJG"]
  1655. rgde_["CLBH"] = CLBH
  1656. rgde_["CLMC"] = CLMC
  1657. rgde_["JLDW"] = JLDW
  1658. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1659. rgde_["gr"] = 0
  1660. rgde_["gf"] = 0
  1661. rgde.append(rgde_)
  1662. ####jixie
  1663. jxde = []
  1664. jx = pd.read_csv("de/xstj/JD_GuJiaJX.csv")
  1665. filtered1 = jx[jx["DEBH"]==debh]
  1666. for i in range(len(filtered1)):
  1667. jxde_ = {}
  1668. sl = filtered1.iloc[i]["SL"]##shuliang
  1669. hj = filtered1.iloc[i]["HJ"]##hejia
  1670. rcjID = filtered1.iloc[i]["RcjID"]
  1671. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1672. filtered2 = detail[detail["RcjID"]==rcjID]
  1673. if len(filtered2) > 0:
  1674. jxbh = filtered2.iloc[0]["jxbh"]
  1675. jxmc = filtered2.iloc[0]["jxmc"]
  1676. DW = filtered2.iloc[0]["DW"]
  1677. tbdj = filtered2.iloc[0]["tbdj"]
  1678. jxde_["jxbh"] = jxbh
  1679. jxde_["jxmc"] = jxmc
  1680. jxde_["DW"] = DW
  1681. jxde_["tbdj"] = tbdj.item()
  1682. jxde_["sl"] = sl.item()
  1683. jxde_["hj"] = hj.item()
  1684. if jxbh in additional:
  1685. additional.remove(jxbh)
  1686. jxde.append(jxde_)
  1687. detail = pd.read_csv("de/xstj/JD_JiXieK.csv")
  1688. added = detail[detail['jxbh'].isin(additional)]
  1689. for _, entry in added.iterrows():
  1690. jxde_ = {}
  1691. jxbh = entry["jxbh"]
  1692. jxmc = entry["jxmc"]
  1693. DW = entry["DW"]
  1694. tbdj = entry["tbdj"]
  1695. jxde_["jxbh"] = jxbh
  1696. jxde_["jxmc"] = jxmc
  1697. jxde_["DW"] = DW
  1698. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1699. jxde_["sl"] = 0
  1700. jxde_["hj"] = 0
  1701. jxde.append(jxde_)
  1702. ####cailiao
  1703. clde = []
  1704. cl = pd.read_csv("de/xstj/JD_GuJiaCL.csv")
  1705. filtered1 = cl[cl["DEBH"]==debh]
  1706. for i in range(len(filtered1)):
  1707. clde_ = {}
  1708. SL = filtered1.iloc[i]["SL"]##shuliang
  1709. HJ = filtered1.iloc[i]["HJ"]##hejia
  1710. rcjID = filtered1.iloc[i]["RcjID"]
  1711. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1712. filtered2 = detail[detail["RcjID"]==rcjID]
  1713. detail_ = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1714. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  1715. if len(filtered2) > 0 and len(filtered2_) == 0:
  1716. CLBH = filtered2.iloc[0]["CLBH"]
  1717. CLMC = filtered2.iloc[0]["CLMC"]
  1718. JLDW = filtered2.iloc[0]["JLDW"]
  1719. YSJG = filtered2.iloc[0]["YSJG"]
  1720. clde_["CLBH"] = CLBH
  1721. clde_["CLMC"] = CLMC
  1722. clde_["JLDW"] = JLDW
  1723. clde_["YSJG"] = YSJG.item()
  1724. clde_["SL"] = SL.item()
  1725. clde_["HJ"] = HJ.item()
  1726. clde.append(clde_)
  1727. elif len(filtered2) == 0 and len(filtered2_) > 0:
  1728. CLBH = filtered2_.iloc[0]["PBBH"]
  1729. CLMC = filtered2_.iloc[0]["PBMC"]
  1730. JLDW = filtered2_.iloc[0]["DW"]
  1731. YSJG = filtered2_.iloc[0]["PBDJ"]
  1732. clde_["CLBH"] = CLBH.item()
  1733. clde_["CLMC"] = CLMC
  1734. clde_["JLDW"] = JLDW
  1735. clde_["YSJG"] = YSJG.item()
  1736. clde_["SL"] = SL.item()
  1737. clde_["HJ"] = HJ.item()
  1738. clde.append(clde_)
  1739. elif len(filtered2) > 0 and len(filtered2_) > 0:
  1740. YSJG = filtered2.iloc[0]["YSJG"]
  1741. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  1742. if float(HJ) < 0.00001:
  1743. if float(YSJG) < 0.00001:
  1744. CLBH = filtered2.iloc[0]["CLBH"]
  1745. CLMC = filtered2.iloc[0]["CLMC"]
  1746. JLDW = filtered2.iloc[0]["JLDW"]
  1747. YSJG = filtered2.iloc[0]["YSJG"]
  1748. clde_["CLBH"] = CLBH
  1749. clde_["CLMC"] = CLMC
  1750. clde_["JLDW"] = JLDW
  1751. clde_["YSJG"] = YSJG.item()
  1752. clde_["SL"] = SL.item()
  1753. clde_["HJ"] = HJ.item()
  1754. clde.append(clde_)
  1755. elif float(YSJG_) < 0.00001:
  1756. CLBH = filtered2_.iloc[0]["PBBH"]
  1757. CLMC = filtered2_.iloc[0]["PBMC"]
  1758. JLDW = filtered2_.iloc[0]["DW"]
  1759. YSJG = filtered2_.iloc[0]["PBDJ"]
  1760. clde_["CLBH"] = CLBH.item()
  1761. clde_["CLMC"] = CLMC
  1762. clde_["JLDW"] = JLDW
  1763. clde_["YSJG"] = YSJG.item()
  1764. clde_["SL"] = SL.item()
  1765. clde_["HJ"] = HJ.item()
  1766. clde.append(clde_)
  1767. else:
  1768. ratio = float(YSJG) / (float(HJ) / float(SL))
  1769. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  1770. if abs(ratio - 1) < abs(ratio_ -1):
  1771. CLBH = filtered2.iloc[0]["CLBH"]
  1772. CLMC = filtered2.iloc[0]["CLMC"]
  1773. JLDW = filtered2.iloc[0]["JLDW"]
  1774. YSJG = filtered2.iloc[0]["YSJG"]
  1775. clde_["CLBH"] = CLBH
  1776. clde_["CLMC"] = CLMC
  1777. clde_["JLDW"] = JLDW
  1778. clde_["YSJG"] = YSJG.item()
  1779. clde_["SL"] = SL.item()
  1780. clde_["HJ"] = HJ.item()
  1781. clde.append(clde_)
  1782. else:
  1783. CLBH = filtered2_.iloc[0]["PBBH"]
  1784. CLMC = filtered2_.iloc[0]["PBMC"]
  1785. JLDW = filtered2_.iloc[0]["DW"]
  1786. YSJG = filtered2_.iloc[0]["PBDJ"]
  1787. clde_["CLBH"] = CLBH.item()
  1788. clde_["CLMC"] = CLMC
  1789. clde_["JLDW"] = JLDW
  1790. clde_["YSJG"] = YSJG.item()
  1791. clde_["SL"] = SL.item()
  1792. clde_["HJ"] = HJ.item()
  1793. clde.append(clde_)
  1794. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  1795. additional.remove(clde_['CLBH'])
  1796. detail = pd.read_csv("de/xstj/JD_CaiLiaoK.csv")
  1797. detail = detail[detail['RcjLb'].isin([2, '2'])]
  1798. added = detail[detail['CLBH'].isin(additional)]
  1799. added = added.drop_duplicates(subset=['CLBH'])
  1800. for _, entry in added.iterrows():
  1801. clde_ = {}
  1802. CLBH = entry["CLBH"]
  1803. CLMC = entry["CLMC"]
  1804. JLDW = entry["JLDW"]
  1805. YSJG = entry["YSJG"]
  1806. clde_["CLBH"] = CLBH
  1807. clde_["CLMC"] = CLMC
  1808. clde_["JLDW"] = JLDW
  1809. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1810. clde_["SL"] = 0
  1811. clde_["HJ"] = 0
  1812. clde.append(clde_)
  1813. detail = pd.read_csv("de/xstj/JD_PeiBi.csv")
  1814. added = detail[detail['PBBH'].isin(additional)]
  1815. for _, entry in added.iterrows():
  1816. clde_ = {}
  1817. CLBH = entry["PBBH"]
  1818. CLMC = entry["PBMC"]
  1819. JLDW = entry["DW"]
  1820. YSJG = entry["PBDJ"]
  1821. clde_["CLBH"] = CLBH
  1822. clde_["CLMC"] = CLMC
  1823. clde_["JLDW"] = JLDW
  1824. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1825. clde_["SL"] = 0
  1826. clde_["HJ"] = 0
  1827. clde.append(clde_)
  1828. 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)
  1829. 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
  1830. def getSingleDeXilie_yl(debh):
  1831. id = None
  1832. bz_selected = []
  1833. bz_selected2 = []
  1834. additional = []
  1835. if "附注" in debh:
  1836. position = debh.find("附注")
  1837. debh = debh[:position]
  1838. if "*" in debh:
  1839. position = debh.find("*")
  1840. debh = debh[:position]
  1841. if debh.endswith("换"):
  1842. debh = debh[:-1]
  1843. if "[" in debh:
  1844. position = debh.find("[")
  1845. debh = debh[:position-1]
  1846. gj = pd.read_csv("de/yl/JD_DanWeiGJ.csv")
  1847. filtered = gj[gj["DEBH"]==debh]
  1848. ##print(filtered)
  1849. if len(filtered) > 0:
  1850. index = (filtered.iloc[0]["YSDELBH"])
  1851. shu = pd.read_csv("de/yl/JD_DingEShu.csv")
  1852. hit = shu[shu["zjh"]==index]
  1853. if len(hit) > 0:
  1854. id = hit.iloc[0]["ID"]
  1855. beizhu = str(filtered.iloc[0]["BZBH"])
  1856. if 'nan' in beizhu:
  1857. pass
  1858. else:
  1859. beizhus = beizhu.split(";")
  1860. ##print(beizhus)
  1861. bzfile = pd.read_csv("de/yl/JD_BeiZhuZK.csv")
  1862. bzfile2 = pd.read_csv("de/yl/JD_BeiZhuFK.csv", dtype=str)
  1863. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  1864. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  1865. bz_selected2 = bz_selected2.astype({'BH': str})
  1866. additional = bz_selected2['BH'].tolist()
  1867. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  1868. else:
  1869. return None, None, None, None, None, None, None
  1870. ####rengong
  1871. rgde = []
  1872. rg = pd.read_csv("de/yl/JD_GuJiaRG.csv")
  1873. filtered1 = rg[rg["DEBH"]==debh]
  1874. for i in range(len(filtered1)):
  1875. rgde_ = {}
  1876. gr = filtered1.iloc[i]["RGR"]##gongri
  1877. gf = filtered1.iloc[i]["RGF"]##gongfei
  1878. rcjID = filtered1.iloc[i]["RcjID"]
  1879. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1880. filtered2 = detail[detail["RcjID"]==rcjID]
  1881. if len(filtered2) > 0:
  1882. CLBH = filtered2.iloc[0]["CLBH"]
  1883. CLMC = filtered2.iloc[0]["CLMC"]
  1884. JLDW = filtered2.iloc[0]["JLDW"]
  1885. YSJG = filtered2.iloc[0]["YSJG"]
  1886. rgde_["CLBH"] = CLBH
  1887. rgde_["CLMC"] = CLMC
  1888. rgde_["JLDW"] = JLDW
  1889. rgde_["YSJG"] = YSJG.item()
  1890. rgde_["gr"] = gr.item()
  1891. rgde_["gf"] = gf.item()
  1892. if CLBH in additional:
  1893. additional.remove(CLBH)
  1894. rgde.append(rgde_)
  1895. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1896. detail = detail[detail['RcjLb'].isin([1, '1'])]
  1897. added = detail[detail['CLBH'].isin(additional)]
  1898. for _, entry in added.iterrows():
  1899. rgde_ = {}
  1900. CLBH = entry["CLBH"]
  1901. CLMC = entry["CLMC"]
  1902. JLDW = entry["JLDW"]
  1903. YSJG = entry["YSJG"]
  1904. rgde_["CLBH"] = CLBH
  1905. rgde_["CLMC"] = CLMC
  1906. rgde_["JLDW"] = JLDW
  1907. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  1908. rgde_["gr"] = 0
  1909. rgde_["gf"] = 0
  1910. rgde.append(rgde_)
  1911. ####jixie
  1912. jxde = []
  1913. jx = pd.read_csv("de/yl/JD_GuJiaJX.csv")
  1914. filtered1 = jx[jx["DEBH"]==debh]
  1915. for i in range(len(filtered1)):
  1916. jxde_ = {}
  1917. sl = filtered1.iloc[i]["SL"]##shuliang
  1918. hj = filtered1.iloc[i]["HJ"]##hejia
  1919. rcjID = filtered1.iloc[i]["RcjID"]
  1920. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1921. filtered2 = detail[detail["RcjID"]==rcjID]
  1922. if len(filtered2) > 0:
  1923. jxbh = filtered2.iloc[0]["jxbh"]
  1924. jxmc = filtered2.iloc[0]["jxmc"]
  1925. DW = filtered2.iloc[0]["DW"]
  1926. tbdj = filtered2.iloc[0]["tbdj"]
  1927. jxde_["jxbh"] = jxbh
  1928. jxde_["jxmc"] = jxmc
  1929. jxde_["DW"] = DW
  1930. jxde_["tbdj"] = tbdj.item()
  1931. jxde_["sl"] = sl.item()
  1932. jxde_["hj"] = hj.item()
  1933. if jxbh in additional:
  1934. additional.remove(jxbh)
  1935. jxde.append(jxde_)
  1936. detail = pd.read_csv("de/yl/JD_JiXieK.csv")
  1937. added = detail[detail['jxbh'].isin(additional)]
  1938. for _, entry in added.iterrows():
  1939. jxde_ = {}
  1940. jxbh = entry["jxbh"]
  1941. jxmc = entry["jxmc"]
  1942. DW = entry["DW"]
  1943. tbdj = entry["tbdj"]
  1944. jxde_["jxbh"] = jxbh
  1945. jxde_["jxmc"] = jxmc
  1946. jxde_["DW"] = DW
  1947. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  1948. jxde_["sl"] = 0
  1949. jxde_["hj"] = 0
  1950. jxde.append(jxde_)
  1951. ####cailiao
  1952. clde = []
  1953. cl = pd.read_csv("de/yl/JD_GuJiaCL.csv")
  1954. filtered1 = cl[cl["DEBH"]==debh]
  1955. for i in range(len(filtered1)):
  1956. clde_ = {}
  1957. SL = filtered1.iloc[i]["SL"]##shuliang
  1958. HJ = filtered1.iloc[i]["HJ"]##hejia
  1959. rcjID = filtered1.iloc[i]["RcjID"]
  1960. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1961. filtered2 = detail[detail["RcjID"]==rcjID]
  1962. if len(filtered2) > 0:
  1963. CLBH = filtered2.iloc[0]["CLBH"]
  1964. CLMC = filtered2.iloc[0]["CLMC"]
  1965. JLDW = filtered2.iloc[0]["JLDW"]
  1966. YSJG = filtered2.iloc[0]["YSJG"]
  1967. clde_["CLBH"] = CLBH
  1968. clde_["CLMC"] = CLMC
  1969. clde_["JLDW"] = JLDW
  1970. clde_["YSJG"] = YSJG.item()
  1971. clde_["SL"] = SL.item()
  1972. clde_["HJ"] = HJ.item()
  1973. clde.append(clde_)
  1974. else:
  1975. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  1976. filtered2 = detail[detail["RcjID"]==rcjID]
  1977. if len(filtered2) > 0:
  1978. CLBH = filtered2.iloc[0]["PBBH"]
  1979. CLMC = filtered2.iloc[0]["PBMC"]
  1980. JLDW = filtered2.iloc[0]["DW"]
  1981. YSJG = filtered2.iloc[0]["PBDJ"]
  1982. clde_["CLBH"] = CLBH.item()
  1983. clde_["CLMC"] = CLMC
  1984. clde_["JLDW"] = JLDW
  1985. clde_["YSJG"] = YSJG.item()
  1986. clde_["SL"] = SL.item()
  1987. clde_["HJ"] = HJ.item()
  1988. clde.append(clde_)
  1989. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  1990. additional.remove(clde_['CLBH'])
  1991. detail = pd.read_csv("de/yl/JD_CaiLiaoK.csv")
  1992. detail = detail[detail['RcjLb'].isin([2, '2'])]
  1993. added = detail[detail['CLBH'].isin(additional)]
  1994. for _, entry in added.iterrows():
  1995. clde_ = {}
  1996. CLBH = entry["CLBH"]
  1997. CLMC = entry["CLMC"]
  1998. JLDW = entry["JLDW"]
  1999. YSJG = entry["YSJG"]
  2000. clde_["CLBH"] = CLBH
  2001. clde_["CLMC"] = CLMC
  2002. clde_["JLDW"] = JLDW
  2003. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2004. clde_["SL"] = 0
  2005. clde_["HJ"] = 0
  2006. clde.append(clde_)
  2007. detail = pd.read_csv("de/yl/JD_PeiBi.csv")
  2008. added = detail[detail['PBBH'].isin(additional)]
  2009. for _, entry in added.iterrows():
  2010. clde_ = {}
  2011. CLBH = entry["PBBH"]
  2012. CLMC = entry["PBMC"]
  2013. JLDW = entry["DW"]
  2014. YSJG = entry["PBDJ"]
  2015. clde_["CLBH"] = CLBH
  2016. clde_["CLMC"] = CLMC
  2017. clde_["JLDW"] = JLDW
  2018. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2019. clde_["SL"] = 0
  2020. clde_["HJ"] = 0
  2021. clde.append(clde_)
  2022. 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)
  2023. 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
  2024. def getSingleDeXilie_az(debh):
  2025. id = None
  2026. bz_selected = []
  2027. bz_selected2 = []
  2028. additional = []
  2029. if "附注" in debh:
  2030. position = debh.find("附注")
  2031. debh = debh[:position]
  2032. if "*" in debh:
  2033. position = debh.find("*")
  2034. debh = debh[:position]
  2035. if debh.endswith("换"):
  2036. debh = debh[:-1]
  2037. if "[" in debh:
  2038. position = debh.find("[")
  2039. debh = debh[:position-1]
  2040. gj = pd.read_csv("de/az/JD_DanWeiGJ.csv")
  2041. filtered = gj[gj["DEBH"]==debh]
  2042. ##print(filtered)
  2043. if len(filtered) > 0:
  2044. index = (filtered.iloc[0]["YSDELBH"])
  2045. shu = pd.read_csv("de/az/JD_DingEShu.csv")
  2046. hit = shu[shu["zjh"]==index]
  2047. if len(hit) > 0:
  2048. id = hit.iloc[0]["ID"]
  2049. beizhu = str(filtered.iloc[0]["BZBH"])
  2050. if 'nan' in beizhu:
  2051. pass
  2052. else:
  2053. beizhus = beizhu.split(";")
  2054. ##print(beizhus)
  2055. bzfile = pd.read_csv("de/az/JD_BeiZhuZK.csv")
  2056. bzfile2 = pd.read_csv("de/az/JD_BeiZhuFK.csv", dtype=str)
  2057. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2058. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2059. bz_selected2 = bz_selected2.astype({'BH': str})
  2060. additional = bz_selected2['BH'].tolist()
  2061. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2062. else:
  2063. return None, None, None, None, None, None, None
  2064. ####rengong
  2065. rgde = []
  2066. rg = pd.read_csv("de/az/JD_GuJiaRG.csv")
  2067. filtered1 = rg[rg["DEBH"]==debh]
  2068. for i in range(len(filtered1)):
  2069. rgde_ = {}
  2070. gr = filtered1.iloc[i]["RGR"]##gongri
  2071. gf = filtered1.iloc[i]["RGF"]##gongfei
  2072. rcjID = filtered1.iloc[i]["RcjID"]
  2073. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2074. filtered2 = detail[detail["RcjID"]==rcjID]
  2075. if len(filtered2) > 0:
  2076. CLBH = filtered2.iloc[0]["CLBH"]
  2077. CLMC = filtered2.iloc[0]["CLMC"]
  2078. JLDW = filtered2.iloc[0]["JLDW"]
  2079. YSJG = filtered2.iloc[0]["YSJG"]
  2080. rgde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2081. rgde_["CLMC"] = CLMC
  2082. rgde_["JLDW"] = JLDW
  2083. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2084. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2085. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2086. if CLBH in additional:
  2087. additional.remove(CLBH)
  2088. rgde.append(rgde_)
  2089. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2090. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2091. added = detail[detail['CLBH'].isin(additional)]
  2092. for _, entry in added.iterrows():
  2093. rgde_ = {}
  2094. CLBH = entry["CLBH"]
  2095. CLMC = entry["CLMC"]
  2096. JLDW = entry["JLDW"]
  2097. YSJG = entry["YSJG"]
  2098. rgde_["CLBH"] = CLBH
  2099. rgde_["CLMC"] = CLMC
  2100. rgde_["JLDW"] = JLDW
  2101. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2102. rgde_["gr"] = 0
  2103. rgde_["gf"] = 0
  2104. rgde.append(rgde_)
  2105. ####jixie
  2106. jxde = []
  2107. jx = pd.read_csv("de/az/JD_GuJiaJX.csv")
  2108. filtered1 = jx[jx["DEBH"]==debh]
  2109. for i in range(len(filtered1)):
  2110. jxde_ = {}
  2111. sl = filtered1.iloc[i]["SL"]##shuliang
  2112. hj = filtered1.iloc[i]["HJ"]##hejia
  2113. rcjID = filtered1.iloc[i]["RcjID"]
  2114. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  2115. filtered2 = detail[detail["RcjID"]==rcjID]
  2116. if len(filtered2) > 0:
  2117. jxbh = filtered2.iloc[0]["jxbh"]
  2118. jxmc = filtered2.iloc[0]["jxmc"]
  2119. DW = filtered2.iloc[0]["DW"]
  2120. tbdj = filtered2.iloc[0]["tbdj"]
  2121. jxde_["jxbh"] = jxbh
  2122. jxde_["jxmc"] = jxmc
  2123. jxde_["DW"] = DW
  2124. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2125. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2126. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2127. if jxbh in additional:
  2128. additional.remove(jxbh)
  2129. jxde.append(jxde_)
  2130. detail = pd.read_csv("de/az/JD_JiXieK.csv")
  2131. added = detail[detail['jxbh'].isin(additional)]
  2132. for _, entry in added.iterrows():
  2133. jxde_ = {}
  2134. jxbh = entry["jxbh"]
  2135. jxmc = entry["jxmc"]
  2136. DW = entry["DW"]
  2137. tbdj = entry["tbdj"]
  2138. jxde_["jxbh"] = jxbh
  2139. jxde_["jxmc"] = jxmc
  2140. jxde_["DW"] = DW
  2141. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2142. jxde_["sl"] = 0
  2143. jxde_["hj"] = 0
  2144. jxde.append(jxde_)
  2145. ####cailiao
  2146. clde = []
  2147. cl = pd.read_csv("de/az/JD_GuJiaCL.csv")
  2148. filtered1 = cl[cl["DEBH"]==debh]
  2149. for i in range(len(filtered1)):
  2150. clde_ = {}
  2151. SL = filtered1.iloc[i]["SL"]##shuliang
  2152. HJ = filtered1.iloc[i]["HJ"]##hejia
  2153. rcjID = filtered1.iloc[i]["RcjID"]
  2154. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2155. filtered2 = detail[detail["RcjID"]==rcjID]
  2156. if len(filtered2) > 0:
  2157. CLBH = filtered2.iloc[0]["CLBH"]
  2158. CLMC = filtered2.iloc[0]["CLMC"]
  2159. JLDW = filtered2.iloc[0]["JLDW"]
  2160. YSJG = filtered2.iloc[0]["YSJG"]
  2161. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2162. clde_["CLMC"] = CLMC
  2163. clde_["JLDW"] = JLDW
  2164. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2165. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2166. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2167. clde.append(clde_)
  2168. else:
  2169. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  2170. filtered2 = detail[detail["RcjID"]==rcjID]
  2171. if len(filtered2) > 0:
  2172. CLBH = filtered2.iloc[0]["PBBH"]
  2173. CLMC = filtered2.iloc[0]["PBMC"]
  2174. JLDW = filtered2.iloc[0]["DW"]
  2175. YSJG = filtered2.iloc[0]["PBDJ"]
  2176. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2177. clde_["CLMC"] = CLMC
  2178. clde_["JLDW"] = JLDW
  2179. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2180. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2181. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2182. clde.append(clde_)
  2183. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2184. additional.remove(clde_['CLBH'])
  2185. detail = pd.read_csv("de/az/JD_CaiLiaoK.csv")
  2186. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2187. added = detail[detail['CLBH'].isin(additional)]
  2188. added = added.drop_duplicates(subset=['CLBH'])
  2189. for _, entry in added.iterrows():
  2190. clde_ = {}
  2191. CLBH = entry["CLBH"]
  2192. CLMC = entry["CLMC"]
  2193. JLDW = entry["JLDW"]
  2194. YSJG = entry["YSJG"]
  2195. clde_["CLBH"] = CLBH
  2196. clde_["CLMC"] = CLMC
  2197. clde_["JLDW"] = JLDW
  2198. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2199. clde_["SL"] = 0
  2200. clde_["HJ"] = 0
  2201. clde.append(clde_)
  2202. detail = pd.read_csv("de/az/JD_PeiBi.csv")
  2203. added = detail[detail['PBBH'].isin(additional)]
  2204. for _, entry in added.iterrows():
  2205. clde_ = {}
  2206. CLBH = entry["PBBH"]
  2207. CLMC = entry["PBMC"]
  2208. JLDW = entry["DW"]
  2209. YSJG = entry["PBDJ"]
  2210. clde_["CLBH"] = CLBH
  2211. clde_["CLMC"] = CLMC
  2212. clde_["JLDW"] = JLDW
  2213. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2214. clde_["SL"] = 0
  2215. clde_["HJ"] = 0
  2216. clde.append(clde_)
  2217. 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)
  2218. ##print(filtered)
  2219. 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
  2220. def getSingleDeXilie_sz(debh):
  2221. id = None
  2222. bz_selected = []
  2223. bz_selected2 = []
  2224. additional = []
  2225. if "附注" in debh:
  2226. position = debh.find("附注")
  2227. debh = debh[:position]
  2228. if "*" in debh:
  2229. position = debh.find("*")
  2230. debh = debh[:position]
  2231. if debh.endswith("换"):
  2232. debh = debh[:-1]
  2233. if "[" in debh:
  2234. position = debh.find("[")
  2235. debh = debh[:position-1]
  2236. gj = pd.read_csv("de/sz/JD_DanWeiGJ.csv")
  2237. filtered = gj[gj["DEBH"]==debh]
  2238. ##print(filtered)
  2239. if len(filtered) > 0:
  2240. index = (filtered.iloc[0]["YSDELBH"])
  2241. shu = pd.read_csv("de/sz/JD_DingEShu.csv")
  2242. hit = shu[shu["zjh"]==index]
  2243. if len(hit) > 0:
  2244. id = hit.iloc[0]["ID"]
  2245. beizhu = str(filtered.iloc[0]["BZBH"])
  2246. if 'nan' in beizhu:
  2247. pass
  2248. else:
  2249. beizhus = beizhu.split(";")
  2250. ##print(beizhus)
  2251. bzfile = pd.read_csv("de/sz/JD_BeiZhuZK.csv")
  2252. bzfile2 = pd.read_csv("de/sz/JD_BeiZhuFK.csv", dtype=str)
  2253. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2254. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2255. bz_selected2 = bz_selected2.astype({'BH': str})
  2256. additional = bz_selected2['BH'].tolist()
  2257. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2258. else:
  2259. return None, None, None, None, None, None, None
  2260. ####rengong
  2261. rgde = []
  2262. rg = pd.read_csv("de/sz/JD_GuJiaRG.csv")
  2263. filtered1 = rg[rg["DEBH"]==debh]
  2264. for i in range(len(filtered1)):
  2265. rgde_ = {}
  2266. gr = filtered1.iloc[i]["RGR"]##gongri
  2267. gf = filtered1.iloc[i]["RGF"]##gongfei
  2268. rcjID = filtered1.iloc[i]["RcjID"]
  2269. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2270. filtered2 = detail[detail["RcjID"]==rcjID]
  2271. if len(filtered2) > 0:
  2272. CLBH = filtered2.iloc[0]["CLBH"]
  2273. CLMC = filtered2.iloc[0]["CLMC"]
  2274. JLDW = filtered2.iloc[0]["JLDW"]
  2275. YSJG = filtered2.iloc[0]["YSJG"]
  2276. rgde_["CLBH"] = CLBH
  2277. rgde_["CLMC"] = CLMC
  2278. rgde_["JLDW"] = JLDW
  2279. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2280. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2281. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2282. if CLBH in additional:
  2283. additional.remove(CLBH)
  2284. rgde.append(rgde_)
  2285. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2286. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2287. added = detail[detail['CLBH'].isin(additional)]
  2288. for _, entry in added.iterrows():
  2289. rgde_ = {}
  2290. CLBH = entry["CLBH"]
  2291. CLMC = entry["CLMC"]
  2292. JLDW = entry["JLDW"]
  2293. YSJG = entry["YSJG"]
  2294. rgde_["CLBH"] = CLBH
  2295. rgde_["CLMC"] = CLMC
  2296. rgde_["JLDW"] = JLDW
  2297. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2298. rgde_["gr"] = 0
  2299. rgde_["gf"] = 0
  2300. rgde.append(rgde_)
  2301. ####jixie
  2302. jxde = []
  2303. jx = pd.read_csv("de/sz/JD_GuJiaJX.csv")
  2304. filtered1 = jx[jx["DEBH"]==debh]
  2305. for i in range(len(filtered1)):
  2306. jxde_ = {}
  2307. sl = filtered1.iloc[i]["SL"]##shuliang
  2308. hj = filtered1.iloc[i]["HJ"]##hejia
  2309. rcjID = filtered1.iloc[i]["RcjID"]
  2310. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  2311. filtered2 = detail[detail["RcjID"]==rcjID]
  2312. if len(filtered2) > 0:
  2313. jxbh = filtered2.iloc[0]["jxbh"]
  2314. jxmc = filtered2.iloc[0]["jxmc"]
  2315. DW = filtered2.iloc[0]["DW"]
  2316. tbdj = filtered2.iloc[0]["tbdj"]
  2317. jxde_["jxbh"] = jxbh
  2318. jxde_["jxmc"] = jxmc
  2319. jxde_["DW"] = DW
  2320. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2321. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2322. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2323. if jxbh in additional:
  2324. additional.remove(jxbh)
  2325. jxde.append(jxde_)
  2326. detail = pd.read_csv("de/sz/JD_JiXieK.csv")
  2327. added = detail[detail['jxbh'].isin(additional)]
  2328. for _, entry in added.iterrows():
  2329. jxde_ = {}
  2330. jxbh = entry["jxbh"]
  2331. jxmc = entry["jxmc"]
  2332. DW = entry["DW"]
  2333. tbdj = entry["tbdj"]
  2334. jxde_["jxbh"] = jxbh
  2335. jxde_["jxmc"] = jxmc
  2336. jxde_["DW"] = DW
  2337. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2338. jxde_["sl"] = 0
  2339. jxde_["hj"] = 0
  2340. jxde.append(jxde_)
  2341. ####cailiao
  2342. clde = []
  2343. cl = pd.read_csv("de/sz/JD_GuJiaCL.csv")
  2344. filtered1 = cl[cl["DEBH"]==debh]
  2345. for i in range(len(filtered1)):
  2346. clde_ = {}
  2347. SL = filtered1.iloc[i]["SL"]##shuliang
  2348. HJ = filtered1.iloc[i]["HJ"]##hejia
  2349. rcjID = filtered1.iloc[i]["RcjID"]
  2350. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2351. filtered2 = detail[detail["RcjID"]==rcjID]
  2352. detail_ = pd.read_csv("de/sz/JD_PeiBi.csv")
  2353. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2354. if len(filtered2) > 0 and len(filtered2_) == 0:
  2355. CLBH = filtered2.iloc[0]["CLBH"]
  2356. CLMC = filtered2.iloc[0]["CLMC"]
  2357. JLDW = filtered2.iloc[0]["JLDW"]
  2358. YSJG = filtered2.iloc[0]["YSJG"]
  2359. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2360. clde_["CLMC"] = CLMC
  2361. clde_["JLDW"] = JLDW
  2362. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2363. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2364. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2365. clde.append(clde_)
  2366. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2367. CLBH = filtered2_.iloc[0]["PBBH"]
  2368. CLMC = filtered2_.iloc[0]["PBMC"]
  2369. JLDW = filtered2_.iloc[0]["DW"]
  2370. YSJG = filtered2_.iloc[0]["PBDJ"]
  2371. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2372. clde_["CLMC"] = CLMC
  2373. clde_["JLDW"] = JLDW
  2374. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2375. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2376. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2377. clde.append(clde_)
  2378. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2379. YSJG = filtered2.iloc[0]["YSJG"]
  2380. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2381. ##print(debh)
  2382. if float(HJ) < 0.00001:
  2383. if float(YSJG) < 0.00001:
  2384. CLBH = filtered2.iloc[0]["CLBH"]
  2385. CLMC = filtered2.iloc[0]["CLMC"]
  2386. JLDW = filtered2.iloc[0]["JLDW"]
  2387. YSJG = filtered2.iloc[0]["YSJG"]
  2388. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2389. clde_["CLMC"] = CLMC
  2390. clde_["JLDW"] = JLDW
  2391. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2392. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2393. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2394. clde.append(clde_)
  2395. elif float(YSJG_) < 0.00001:
  2396. CLBH = filtered2_.iloc[0]["PBBH"]
  2397. CLMC = filtered2_.iloc[0]["PBMC"]
  2398. JLDW = filtered2_.iloc[0]["DW"]
  2399. YSJG = filtered2_.iloc[0]["PBDJ"]
  2400. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2401. clde_["CLMC"] = CLMC
  2402. clde_["JLDW"] = JLDW
  2403. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2404. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2405. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2406. clde.append(clde_)
  2407. else:
  2408. ratio = float(YSJG) / (float(HJ) / float(SL))
  2409. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2410. if abs(ratio - 1) < abs(ratio_ - 1):
  2411. CLBH = filtered2.iloc[0]["CLBH"]
  2412. CLMC = filtered2.iloc[0]["CLMC"]
  2413. JLDW = filtered2.iloc[0]["JLDW"]
  2414. YSJG = filtered2.iloc[0]["YSJG"]
  2415. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2416. clde_["CLMC"] = CLMC
  2417. clde_["JLDW"] = JLDW
  2418. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2419. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2420. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2421. clde.append(clde_)
  2422. else:
  2423. CLBH = filtered2_.iloc[0]["PBBH"]
  2424. CLMC = filtered2_.iloc[0]["PBMC"]
  2425. JLDW = filtered2_.iloc[0]["DW"]
  2426. YSJG = filtered2_.iloc[0]["PBDJ"]
  2427. clde_["CLBH"] = CLBH.item() if type(CLBH) == int64 else CLBH
  2428. clde_["CLMC"] = CLMC
  2429. clde_["JLDW"] = JLDW
  2430. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2431. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2432. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2433. clde.append(clde_)
  2434. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2435. additional.remove(clde_['CLBH'])
  2436. detail = pd.read_csv("de/sz/JD_CaiLiaoK.csv")
  2437. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2438. added = detail[detail['CLBH'].isin(additional)]
  2439. for _, entry in added.iterrows():
  2440. clde_ = {}
  2441. CLBH = entry["CLBH"]
  2442. CLMC = entry["CLMC"]
  2443. JLDW = entry["JLDW"]
  2444. YSJG = entry["YSJG"]
  2445. clde_["CLBH"] = CLBH
  2446. clde_["CLMC"] = CLMC
  2447. clde_["JLDW"] = JLDW
  2448. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2449. clde_["SL"] = 0
  2450. clde_["HJ"] = 0
  2451. clde.append(clde_)
  2452. detail = pd.read_csv("de/sz/JD_PeiBi.csv")
  2453. added = detail[detail['PBBH'].isin(additional)]
  2454. for _, entry in added.iterrows():
  2455. clde_ = {}
  2456. CLBH = entry["PBBH"]
  2457. CLMC = entry["PBMC"]
  2458. JLDW = entry["DW"]
  2459. YSJG = entry["PBDJ"]
  2460. clde_["CLBH"] = CLBH
  2461. clde_["CLMC"] = CLMC
  2462. clde_["JLDW"] = JLDW
  2463. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2464. clde_["SL"] = 0
  2465. clde_["HJ"] = 0
  2466. clde.append(clde_)
  2467. 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)
  2468. 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
  2469. def getSingleDeXilie_tj(debh):
  2470. id = None
  2471. bz_selected = []
  2472. bz_selected2 = []
  2473. additional = []
  2474. if "附注" in debh:
  2475. position = debh.find("附注")
  2476. debh = debh[:position]
  2477. if "*" in debh:
  2478. position = debh.find("*")
  2479. debh = debh[:position]
  2480. if debh.endswith("换"):
  2481. debh = debh[:-1]
  2482. if "[" in debh:
  2483. position = debh.find("[")
  2484. debh = debh[:position-1]
  2485. gj = pd.read_csv("de/tj/JD_DanWeiGJ.csv")
  2486. filtered = gj[gj["DEBH"]==debh]
  2487. ##print(filtered)
  2488. if len(filtered) > 0:
  2489. index = int(filtered.iloc[0]["YSDELBH"])
  2490. shu = pd.read_csv("de/tj/JD_DingEShu.csv")
  2491. hit = shu[shu["zjh"]==index]
  2492. if len(hit) > 0:
  2493. id = hit.iloc[0]["ID"]
  2494. beizhu = str(filtered.iloc[0]["BZBH"])
  2495. if 'nan' in beizhu:
  2496. pass
  2497. else:
  2498. beizhus = beizhu.split(";")
  2499. ##print(beizhus)
  2500. bzfile = pd.read_csv("de/tj/JD_BeiZhuZK.csv")
  2501. bzfile2 = pd.read_csv("de/tj/JD_BeiZhuFK.csv", dtype=str)
  2502. bz_selected = bzfile[bzfile["BZBH"].isin(beizhus)]
  2503. bz_selected2 = bzfile2[bzfile2["BZBH"].isin(beizhus)]
  2504. bz_selected2 = bz_selected2.astype({'BH': str})
  2505. additional = bz_selected2['BH'].tolist()
  2506. additional = [entry for entry in additional if not entry in ['000000', '000001', 'J00000', '100000', '800101', '015103', '066121', '066501', '066503', '070101', '070303', '070902', '071121', '241503', '8021', '80210']]
  2507. else:
  2508. return None, None, None, None, None, None, None
  2509. ####rengong
  2510. rgde = []
  2511. rg = pd.read_csv("de/tj/JD_GuJiaRG.csv")
  2512. filtered1 = rg[rg["DEBH"]==debh]
  2513. for i in range(len(filtered1)):
  2514. rgde_ = {}
  2515. gr = filtered1.iloc[i]["RGR"]##gongri
  2516. gf = filtered1.iloc[i]["RGF"]##gongfei
  2517. rcjID = filtered1.iloc[i]["RcjID"]
  2518. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2519. filtered2 = detail[detail["RcjID"]==rcjID]
  2520. if len(filtered2) > 0:
  2521. CLBH = filtered2.iloc[0]["CLBH"]
  2522. CLMC = filtered2.iloc[0]["CLMC"]
  2523. JLDW = filtered2.iloc[0]["JLDW"]
  2524. YSJG = filtered2.iloc[0]["YSJG"]
  2525. rgde_["CLBH"] = CLBH
  2526. rgde_["CLMC"] = CLMC
  2527. rgde_["JLDW"] = JLDW
  2528. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2529. rgde_["gr"] = gr.item() if type(gr) == float64 else gr
  2530. rgde_["gf"] = gf.item() if type(gf) == float64 else gf
  2531. if CLBH in additional:
  2532. additional.remove(CLBH)
  2533. rgde.append(rgde_)
  2534. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2535. detail = detail[detail['RcjLb'].isin([1, '1'])]
  2536. added = detail[detail['CLBH'].isin(additional)]
  2537. for _, entry in added.iterrows():
  2538. rgde_ = {}
  2539. CLBH = entry["CLBH"]
  2540. CLMC = entry["CLMC"]
  2541. JLDW = entry["JLDW"]
  2542. YSJG = entry["YSJG"]
  2543. rgde_["CLBH"] = CLBH
  2544. rgde_["CLMC"] = CLMC
  2545. rgde_["JLDW"] = JLDW
  2546. rgde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2547. rgde_["gr"] = 0
  2548. rgde_["gf"] = 0
  2549. rgde.append(rgde_)
  2550. ####jixie
  2551. jxde = []
  2552. jx = pd.read_csv("de/tj/JD_GuJiaJX.csv")
  2553. filtered1 = jx[jx["DEBH"]==debh]
  2554. for i in range(len(filtered1)):
  2555. jxde_ = {}
  2556. sl = filtered1.iloc[i]["SL"]##shuliang
  2557. hj = filtered1.iloc[i]["HJ"]##hejia
  2558. rcjID = filtered1.iloc[i]["RcjID"]
  2559. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  2560. filtered2 = detail[detail["RcjID"]==rcjID]
  2561. if len(filtered2) > 0:
  2562. jxbh = filtered2.iloc[0]["jxbh"]
  2563. jxmc = filtered2.iloc[0]["jxmc"]
  2564. DW = filtered2.iloc[0]["DW"]
  2565. tbdj = filtered2.iloc[0]["tbdj"]
  2566. jxde_["jxbh"] = jxbh
  2567. jxde_["jxmc"] = jxmc
  2568. jxde_["DW"] = DW
  2569. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2570. jxde_["sl"] = sl.item() if type(sl) == float64 else sl
  2571. jxde_["hj"] = hj.item() if type(hj) == float64 else hj
  2572. if jxbh in additional:
  2573. additional.remove(jxbh)
  2574. jxde.append(jxde_)
  2575. detail = pd.read_csv("de/tj/JD_JiXieK.csv")
  2576. added = detail[detail['jxbh'].isin(additional)]
  2577. for _, entry in added.iterrows():
  2578. jxde_ = {}
  2579. jxbh = entry["jxbh"]
  2580. jxmc = entry["jxmc"]
  2581. DW = entry["DW"]
  2582. tbdj = entry["tbdj"]
  2583. jxde_["jxbh"] = jxbh
  2584. jxde_["jxmc"] = jxmc
  2585. jxde_["DW"] = DW
  2586. jxde_["tbdj"] = tbdj.item() if type(tbdj) == float64 else tbdj
  2587. jxde_["sl"] = 0
  2588. jxde_["hj"] = 0
  2589. jxde.append(jxde_)
  2590. clde = []
  2591. cl = pd.read_csv("de/tj/JD_GuJiaCL.csv")
  2592. filtered1 = cl[cl["DEBH"]==debh]
  2593. for i in range(len(filtered1)):
  2594. clde_ = {}
  2595. SL = filtered1.iloc[i]["SL"]##shuliang
  2596. HJ = filtered1.iloc[i]["HJ"]##hejia
  2597. rcjID = filtered1.iloc[i]["RcjID"]
  2598. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2599. filtered2 = detail[detail["RcjID"]==rcjID]
  2600. detail_ = pd.read_csv("de/tj/JD_PeiBi.csv")
  2601. filtered2_ = detail_[detail_["RcjID"]==rcjID]
  2602. if len(filtered2) > 0 and len(filtered2_) == 0:
  2603. CLBH = filtered2.iloc[0]["CLBH"]
  2604. CLMC = filtered2.iloc[0]["CLMC"]
  2605. JLDW = filtered2.iloc[0]["JLDW"]
  2606. YSJG = filtered2.iloc[0]["YSJG"]
  2607. clde_["CLBH"] = CLBH
  2608. clde_["CLMC"] = CLMC
  2609. clde_["JLDW"] = JLDW
  2610. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2611. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2612. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2613. clde.append(clde_)
  2614. elif len(filtered2) == 0 and len(filtered2_) > 0:
  2615. CLBH = filtered2_.iloc[0]["PBBH"]
  2616. CLMC = filtered2_.iloc[0]["PBMC"]
  2617. JLDW = filtered2_.iloc[0]["DW"]
  2618. YSJG = filtered2_.iloc[0]["PBDJ"]
  2619. clde_["CLBH"] = CLBH
  2620. clde_["CLMC"] = CLMC
  2621. clde_["JLDW"] = JLDW
  2622. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2623. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2624. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2625. clde.append(clde_)
  2626. elif len(filtered2) > 0 and len(filtered2_) > 0:
  2627. YSJG = filtered2.iloc[0]["YSJG"]
  2628. YSJG_ = filtered2_.iloc[0]["PBDJ"]
  2629. if float(HJ) < 0.00001:
  2630. if float(YSJG) < 0.00001:
  2631. CLBH = filtered2.iloc[0]["CLBH"]
  2632. CLMC = filtered2.iloc[0]["CLMC"]
  2633. JLDW = filtered2.iloc[0]["JLDW"]
  2634. YSJG = filtered2.iloc[0]["YSJG"]
  2635. clde_["CLBH"] = CLBH
  2636. clde_["CLMC"] = CLMC
  2637. clde_["JLDW"] = JLDW
  2638. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2639. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2640. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2641. clde.append(clde_)
  2642. elif float(YSJG_) < 0.00001:
  2643. CLBH = filtered2_.iloc[0]["PBBH"]
  2644. CLMC = filtered2_.iloc[0]["PBMC"]
  2645. JLDW = filtered2_.iloc[0]["DW"]
  2646. YSJG = filtered2_.iloc[0]["PBDJ"]
  2647. clde_["CLBH"] = CLBH
  2648. clde_["CLMC"] = CLMC
  2649. clde_["JLDW"] = JLDW
  2650. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2651. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2652. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2653. clde.append(clde_)
  2654. else:
  2655. ratio = float(YSJG) / (float(HJ) / float(SL))
  2656. ratio_ = float(YSJG_) / (float(HJ) / float(SL))
  2657. if abs(ratio - 1) < abs(ratio_ - 1):
  2658. CLBH = filtered2.iloc[0]["CLBH"]
  2659. CLMC = filtered2.iloc[0]["CLMC"]
  2660. JLDW = filtered2.iloc[0]["JLDW"]
  2661. YSJG = filtered2.iloc[0]["YSJG"]
  2662. clde_["CLBH"] = CLBH
  2663. clde_["CLMC"] = CLMC
  2664. clde_["JLDW"] = JLDW
  2665. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2666. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2667. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2668. clde.append(clde_)
  2669. else:
  2670. CLBH = filtered2_.iloc[0]["PBBH"]
  2671. CLMC = filtered2_.iloc[0]["PBMC"]
  2672. JLDW = filtered2_.iloc[0]["DW"]
  2673. YSJG = filtered2_.iloc[0]["PBDJ"]
  2674. clde_["CLBH"] = CLBH
  2675. clde_["CLMC"] = CLMC
  2676. clde_["JLDW"] = JLDW
  2677. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2678. clde_["SL"] = SL.item() if type(SL) == float64 else SL
  2679. clde_["HJ"] = HJ.item() if type(HJ) == float64 else HJ
  2680. clde.append(clde_)
  2681. if 'CLBH' in clde_ and clde_['CLBH'] in additional:
  2682. additional.remove(clde_['CLBH'])
  2683. detail = pd.read_csv("de/tj/JD_CaiLiaoK.csv")
  2684. detail = detail[detail['RcjLb'].isin([2, '2'])]
  2685. added = detail[detail['CLBH'].isin(additional)]
  2686. added = added.drop_duplicates(subset=['CLBH'])
  2687. for _, entry in added.iterrows():
  2688. clde_ = {}
  2689. CLBH = entry["CLBH"]
  2690. CLMC = entry["CLMC"]
  2691. JLDW = entry["JLDW"]
  2692. YSJG = entry["YSJG"]
  2693. clde_["CLBH"] = CLBH
  2694. clde_["CLMC"] = CLMC
  2695. clde_["JLDW"] = JLDW
  2696. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2697. clde_["SL"] = 0
  2698. clde_["HJ"] = 0
  2699. clde.append(clde_)
  2700. detail = pd.read_csv("de/tj/JD_PeiBi.csv")
  2701. added = detail[detail['PBBH'].isin(additional)]
  2702. for _, entry in added.iterrows():
  2703. clde_ = {}
  2704. CLBH = entry["PBBH"]
  2705. CLMC = entry["PBMC"]
  2706. JLDW = entry["DW"]
  2707. YSJG = entry["PBDJ"]
  2708. clde_["CLBH"] = CLBH
  2709. clde_["CLMC"] = CLMC
  2710. clde_["JLDW"] = JLDW
  2711. clde_["YSJG"] = YSJG.item() if type(YSJG) == float64 else YSJG
  2712. clde_["SL"] = 0
  2713. clde_["HJ"] = 0
  2714. clde.append(clde_)
  2715. 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)
  2716. 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
  2717. def getDwgc(root, id, Zylb):
  2718. result = []
  2719. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2720. item = None
  2721. for child in root:
  2722. if child.tag == "Dxgcxx":
  2723. for child1 in child:
  2724. Dwgcbh = child1.attrib["Dwgcbh"]
  2725. if Dwgcbh == id:
  2726. item = child1
  2727. break
  2728. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2729. id = id + "Zylb" + Zylb
  2730. for child in item:
  2731. if child.tag == "Fywj":
  2732. result.append({"id": id + "bao jia hui zong", "label": "报价汇总表"})
  2733. elif child.tag == "Gfsj":
  2734. result.append({"id": id + "gui fei shui jin", "label": "规费税金"})
  2735. elif child.tag == "Qdxm":
  2736. result.append({"id": id + "qing dan xiang mu", "label": "清单项目"})
  2737. elif child.tag == "Csxm":
  2738. result.append({"id": id + "cuo shi xiang mu", "label": "措施项目"})
  2739. elif child.tag == "Qtxm":
  2740. result.append({"id": id +"qi ta xiang mu", "label": "其他项目"})
  2741. elif child.tag == "Zlje":
  2742. result.append({"id": id +"zan lie jin e", "label": "暂列金额"})
  2743. elif child.tag == "Clzg":
  2744. result.append({"id": id +"cai liao zan gu jia", "label": "材料暂估价"})
  2745. elif child.tag == "Zygczg":
  2746. result.append({"id": id + "zhuan ye gong cheng zan gu jia", "label": "专业工程暂估价"})
  2747. elif child.tag == "Jrg":
  2748. result.append({"id": id + "ji ri gong", "label": "计日工"})
  2749. elif child.tag == "Zcbfwf":
  2750. result.append({"id": id + "zong cheng bao fu wu fei", "label": "总承包服务费"})
  2751. elif child.tag == "Zjxmjdkzffj":
  2752. 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"})
  2753. elif child.tag == "Fbrgycl":
  2754. result.append({"id": id + "fa bao ren gong ying cai liao", "label": "发包人供应材料"})
  2755. elif child.tag == "Cbrgycl":
  2756. result.append({"id": id + "cheng bao ren gong ying cai liao", "label": "承包人供应材料"})
  2757. elif child.tag == "Rcjhz":
  2758. result.append({"id": id + "ren cai ji hui zong", "label": "人材机汇总"})
  2759. else:
  2760. print(child.tag)
  2761. print("WARNING####################################################################")
  2762. return result
  2763. def getDjcs(root, id):
  2764. result = []
  2765. #result.append(["ming cheng", "jin e", "zan gu jia", "anquan wenming fei", "guifei"])
  2766. item = None
  2767. for child in root:
  2768. if child.tag == "Dxgcxx":
  2769. for child1 in child:
  2770. Dwgcbh = child1.attrib["Dwgcbh"]
  2771. if Dwgcbh == id:
  2772. item = child1
  2773. break
  2774. ##result.append([child.attrib["Dxgcmc"], child.attrib["Je"], child.attrib["Zgj"], child.attrib["Aqwmf"], child.attrib["Gf"]])
  2775. Fywj = None
  2776. for child in item:
  2777. if child.tag == 'Csxm':
  2778. Fywj= child
  2779. break
  2780. Djcs_parent = None
  2781. for child in Fywj:
  2782. if child.tag == 'DjCs':
  2783. Djcs_parent = child
  2784. break
  2785. for child in Djcs_parent:
  2786. ##child is mx {
  2787. result.append({
  2788. "序号": child.attrib["Xh"], "清单编码": child.attrib["Bm"], "名称" : child.attrib["Mc"],
  2789. "项目特征" : child.attrib["Xmtz"],
  2790. "计算规则" : child.attrib["Jsgz"], "单位" : child.attrib["Dw"], "数量" : child.attrib["Sl"],
  2791. "综合单价" : child.attrib["Zhdj"], "合价" : child.attrib["Zhhj"], "人工费" : child.attrib["Rgf"],
  2792. "主材费" : child.attrib["Zcf"],
  2793. "设备费" : child.attrib["Sbf"], "辅材费" : child.attrib["Fcf"], "材料费" : child.attrib["Clf"],
  2794. "机械费" : child.attrib["Jxf"], "管理费" : child.attrib["Glf"], "利润" : child.attrib["Lr"],
  2795. "暂估价" : child.attrib["Zgj"], "综合人工工日" : child.attrib["Zgr"] })
  2796. __children = []
  2797. zj_parent = None
  2798. for grandchild in child:
  2799. if grandchild.tag == "Csxdezj":
  2800. zj_parent = grandchild
  2801. if zj_parent:
  2802. for entry in zj_parent:
  2803. key = str(uuid.uuid4())
  2804. entry.set("key", key)
  2805. __children.append({
  2806. "key": key,
  2807. "序号": None, "清单编码": entry.attrib["Debm"], "名称" : entry.attrib["Mc"],
  2808. "项目特征" : None,
  2809. "计算规则" : None, "单位" : entry.attrib["Dw"], "数量" : entry.attrib["DwQdSl"],
  2810. "综合单价" : entry.attrib["Dj"], "合价" : entry.attrib["Hj"], "人工费" : entry.attrib["Rgf"],
  2811. "主材费" : entry.attrib["Zcf"],
  2812. "设备费" : entry.attrib["Sbf"], "辅材费" : entry.attrib["Fcf"], "材料费" : entry.attrib["Clf"],
  2813. "机械费" : entry.attrib["Jxf"], "管理费" : entry.attrib["Glf"], "利润" : entry.attrib["Lr"],
  2814. "暂估价" : None, "综合人工工日" : None })
  2815. if len(__children) > 0:
  2816. result[-1]["__children"] = __children
  2817. return result