-
Notifications
You must be signed in to change notification settings - Fork 0
/
CBDB-disambiguation-automation.py
652 lines (586 loc) · 24.5 KB
/
CBDB-disambiguation-automation.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
# pip install char_converter
import sqlite3
import sys
import csv
import re
import pandas as pd
from char_converter import CharConverter
# setup SQLite database name
dbName = "latest.db"
# setup content file name
contentsName = "input.txt"
# output compare result
compareResultListFile = "compare-result-list"
conn = sqlite3.connect(dbName)
c = conn.cursor()
# for row in c.execute("SELECT * FROM BIOG_MAIN LIMIT 5"):
# print(row)
# setup char converter
converter = CharConverter("v2s")
# read nianhao list
nianhaoList = []
with open("nianhao.txt", "r", encoding="utf-8") as f:
for row in f:
nianhaoList.append(row.strip())
class setupConditions:
def runQuery(self, SQL):
output = []
for row in c.execute(SQL):
output.append(row[0])
return output
def setupDy(self, dyList):
IDJoin = '" or c_dy="'.join(dyList)
IDJoin = '"' + IDJoin + '"'
SQL = "SELECT c_personid FROM BIOG_MAIN WHERE c_dy = %s" % IDJoin
print(SQL)
return self.runQuery(SQL)
def setupIndexYear(self, infYear, supYear):
SQL = (
"SELECT c_personid FROM BIOG_MAIN WHERE c_index_year >= %s and c_index_year <= %s"
% (infYear, supYear)
)
return self.runQuery(SQL)
def mergeLists(self, dataList):
output = []
for i in dataList:
output.extend(i)
output = list(set(output))
return output
# converter.convert(text)
class getVariousDataTypes:
def runQuery(self, SQL, idNameMapping=None):
dataList = []
for row in c.execute(SQL):
if idNameMapping == 1:
pass
if idNameMapping == 1 and normalizeNameSetting == 1:
row = [row[0], converter.convert(row[1])]
dataList.append(row)
dataDict = {}
count = 0
for i in dataList:
count += 1
if i[0] not in dataDict:
if len(i) < 2:
print("输出的资料少于两列")
sys.exit()
if i[1] == None:
continue
if len(i) == 2:
if normalizeBiogSetting == 1 and idNameMapping == None:
dataDict[i[0]] = converter.convert(i[1])
else:
dataDict[i[0]] = i[1]
else:
i = [j for j in i if j is not None]
if normalizeBiogSetting == 1 and idNameMapping == None:
dataDict[i[0]] = converter.convert(";".join(i[1:]))
else:
dataDict[i[0]] = ";".join(i[1:])
else:
if i[1] == None:
continue
if len(i) == 2:
if normalizeBiogSetting == 1 and idNameMapping == None:
try:
dataDict[i[0]] = (
dataDict[i[0]] + ";" + converter.convert(i[1])
)
except:
print(i[0])
print(i[1])
sys.exit()
else:
dataDict[i[0]] = dataDict[i[0]] + ";" + i[1]
else:
new_i = []
for j in i:
if j is not None:
if normalizeBiogSetting == 1 and idNameMapping == None:
if isinstance(j, int):
new_i.append(j)
else:
new_i.append(converter.convert(j))
else:
new_i.append(j)
i = new_i
# i = [j for j in i if j is not None]
# 譬如官职
# 如果希望 地名1;官名1;;地名2;官名2 则形如
# dataDict[i[0]] = dataDict[i[0]] + ";;"+ ";".join(i[1:])
# 如果希望 地名1;官名1;地名2;官名2 则形如
# dataDict[i[0]] = dataDict[i[0]] + ";"+ ";".join(i[1:])
dataDict[i[0]] = dataDict[i[0]] + ";" + ";".join(i[1:])
return dataDict
def convertListToString(self, dataList):
dataList = [str(i) for i in dataList]
dataList = ",".join(dataList)
# dataList = "\""+dataList+"\""
return dataList
def altname(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT ALTNAME_DATA.c_personid, ALTNAME_DATA.c_alt_name_chn
FROM ALTNAME_DATA
WHERE c_personid in (%s);
""" % (
personIDListString
)
return self.runQuery(SQL)
def biogAddr(self, personIDList):
personIDListString = self.convertListToString(personIDList)
if addrBelongsMatchForBiogAddr == 1:
SQL = """SELECT DISTINCT BIOG_ADDR_DATA.c_personid, ADDR_CODES.c_name_chn
FROM BIOG_ADDR_DATA INNER JOIN ADDR_CODES ON BIOG_ADDR_DATA.c_addr_id = ADDR_CODES.c_addr_id
WHERE
(BIOG_ADDR_DATA.c_addr_type = -1 or BIOG_ADDR_DATA.c_addr_type = 0 or BIOG_ADDR_DATA.c_addr_type = 1 or BIOG_ADDR_DATA.c_addr_type = 14)
AND
(c_personid in (%s))
UNION
SELECT DISTINCT BIOG_MAIN.c_personid, ADDR_CODES.c_name_chn
FROM BIOG_MAIN INNER JOIN ADDR_CODES ON BIOG_MAIN.c_index_addr_id = ADDR_CODES.c_addr_id
WHERE (BIOG_MAIN.c_index_addr_id IS NOT NULL
AND BIOG_MAIN.c_index_addr_id != 0)
AND
(c_personid in (%s))
UNION
SELECT DISTINCT BIOG_ADDR_DATA.c_personid, ADDR_CODES_FOR_BELONGS.c_name_chn
FROM BIOG_ADDR_DATA INNER JOIN ADDR_CODES ON BIOG_ADDR_DATA.c_addr_id = ADDR_CODES.c_addr_id
INNER JOIN ADDR_BELONGS_DATA ON ADDR_CODES.c_addr_id = ADDR_BELONGS_DATA.c_addr_id
INNER JOIN ADDR_CODES AS ADDR_CODES_FOR_BELONGS ON ADDR_CODES_FOR_BELONGS.c_addr_id = ADDR_BELONGS_DATA.c_belongs_to
WHERE
(BIOG_ADDR_DATA.c_addr_type = -1 or BIOG_ADDR_DATA.c_addr_type = 0 or BIOG_ADDR_DATA.c_addr_type = 1 or BIOG_ADDR_DATA.c_addr_type = 14)
AND
(c_personid in (%s))
UNION
SELECT DISTINCT BIOG_MAIN.c_personid, ADDR_CODES_FOR_BELONGS.c_name_chn
FROM BIOG_MAIN INNER JOIN ADDR_CODES ON BIOG_MAIN.c_index_addr_id = ADDR_CODES.c_addr_id
INNER JOIN ADDR_BELONGS_DATA ON BIOG_MAIN.c_index_addr_id = ADDR_BELONGS_DATA.c_addr_id
INNER JOIN ADDR_CODES AS ADDR_CODES_FOR_BELONGS ON ADDR_CODES_FOR_BELONGS.c_addr_id = ADDR_BELONGS_DATA.c_belongs_to
WHERE (BIOG_MAIN.c_index_addr_id IS NOT NULL
AND BIOG_MAIN.c_index_addr_id != 0)
AND
(c_personid in (%s))""" % (
personIDListString,
personIDListString,
personIDListString,
personIDListString,
)
else:
SQL = """SELECT DISTINCT BIOG_ADDR_DATA.c_personid, ADDR_CODES.c_name_chn
FROM BIOG_ADDR_DATA INNER JOIN ADDR_CODES ON BIOG_ADDR_DATA.c_addr_id = ADDR_CODES.c_addr_id
WHERE
(c_addr_type = -1 or c_addr_type = 0 or c_addr_type = 1 or c_addr_type = 14)
AND
(c_personid in (%s))
UNION
SELECT DISTINCT BIOG_MAIN.c_personid, ADDR_CODES.c_name_chn
FROM BIOG_MAIN INNER JOIN ADDR_CODES ON BIOG_MAIN.c_index_addr_id = ADDR_CODES.c_addr_id
WHERE BIOG_MAIN.c_index_addr_id is NOT NULL
AND
(c_personid in (%s))
""" % (
personIDListString,
personIDListString,
)
return self.runQuery(SQL)
def posting(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT [POSTED_TO_OFFICE_DATA].[c_personid],
[OFFICE_CODES].[c_office_chn],
[ADDR_CODES].[c_name_chn]
FROM [POSTED_TO_OFFICE_DATA]
LEFT JOIN [POSTED_TO_ADDR_DATA] ON [POSTED_TO_ADDR_DATA].[c_posting_id] =
[POSTED_TO_OFFICE_DATA].[c_posting_id]
LEFT JOIN [OFFICE_CODES] ON [OFFICE_CODES].[c_office_id] =
[POSTED_TO_OFFICE_DATA].[c_office_id]
LEFT JOIN [ADDR_CODES] ON [ADDR_CODES].[c_addr_id] =
[POSTED_TO_ADDR_DATA].[c_addr_id]
WHERE [POSTED_TO_OFFICE_DATA].[c_personid] in (%s);
""" % (
personIDListString
)
return self.runQuery(SQL)
def kinName(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT KIN_DATA.c_personid, BIOG_MAIN.c_mingzi_chn
FROM KIN_DATA INNER JOIN BIOG_MAIN ON KIN_DATA.c_kin_id = BIOG_MAIN.c_personid
WHERE KIN_DATA.c_personid in (%s)
""" % (
personIDListString
)
return self.runQuery(SQL)
def entry(self, personIDList):
output = {}
entry_keyword_list = [
"進士",
"舉人",
"狀元",
"榜眼",
"探花",
"貢生",
"貢士",
"魁首",
"博學鴻",
"監生",
"廩生",
"附生",
"宗室",
"佾生",
"制舉",
]
if normalizeBiogSetting == 1:
entry_keyword_list = [converter.convert(i) for i in entry_keyword_list]
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT ENTRY_DATA.c_personid, ENTRY_CODES.c_entry_desc_chn
FROM ENTRY_CODES INNER JOIN ENTRY_DATA ON ENTRY_CODES.c_entry_code = ENTRY_DATA.c_entry_code
WHERE ENTRY_DATA.c_personid in (%s)
""" % (
personIDListString
)
temp_output = self.runQuery(SQL)
for person_id, entry_content in temp_output.items():
output[person_id] = []
entry_content = entry_content.split(";")
for entry_item in entry_content:
for entry_keyword in entry_keyword_list:
if entry_keyword in entry_item:
output[person_id].append(entry_keyword)
output[person_id] = ";".join(list(set(output[person_id])))
return output
def deathNianHao(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT BIOG_MAIN.c_personid, NIAN_HAO.c_nianhao_chn
FROM NIAN_HAO INNER JOIN BIOG_MAIN ON NIAN_HAO.c_nianhao_id = BIOG_MAIN.c_dy_nh_code
WHERE BIOG_MAIN.c_personid in (%s)
""" % (
personIDListString
)
return self.runQuery(SQL)
def source(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT BIOG_MAIN.c_personid, TEXT_CODES.c_title_chn
FROM BIOG_SOURCE_DATA INNER JOIN BIOG_MAIN ON BIOG_SOURCE_DATA.c_personid = BIOG_MAIN.c_personid
INNER JOIN TEXT_CODES ON BIOG_SOURCE_DATA.c_textid = TEXT_CODES.c_textid
WHERE BIOG_MAIN.c_personid in (%s)
""" % (
personIDListString
)
return self.runQuery(SQL)
def writing(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT BIOG_MAIN.c_personid, TEXT_CODES.c_title_chn
FROM BIOG_TEXT_DATA INNER JOIN BIOG_MAIN ON BIOG_TEXT_DATA.c_personid = BIOG_MAIN.c_personid
INNER JOIN TEXT_CODES ON BIOG_TEXT_DATA.c_textid = TEXT_CODES.c_textid
WHERE BIOG_MAIN.c_personid in (%s)
""" % (
personIDListString
)
return self.runQuery(SQL)
def idNameMapping(self, personIDList):
personIDListString = self.convertListToString(personIDList)
SQL = """SELECT DISTINCT BIOG_MAIN.c_personid, BIOG_MAIN.c_name_chn
FROM BIOG_MAIN
WHERE BIOG_MAIN.c_personid in (%s)
""" % (
personIDListString
)
return self.runQuery(SQL, idNameMapping=1)
def nameIDMapping(self, idNameMapping):
output = {}
for k, v in idNameMapping.items():
if v not in output:
output[v] = [k]
else:
output[v].append(k)
return output
def combineAllData(personIDList, variousDataDict):
output = {}
for cbdb_id in personIDList:
if cbdb_id == 0:
continue
output[cbdb_id] = {}
for data_type, data_content in variousDataDict.items():
if cbdb_id in data_content:
output[cbdb_id][data_type] = data_content[cbdb_id]
else:
output[cbdb_id][data_type] = ""
return output
class compareCBDBAndContents:
def readContents(self, contentsName):
output = []
with open(contentsName, "r", encoding="utf-8") as f:
csvReader = csv.reader(f, delimiter="\t")
for row in csvReader:
if normalizeBiogSetting == 1:
row = [row[0], row[1], converter.convert(row[2])]
if normalizeNameSetting == 1:
row[1] = converter.convert(row[1])
output.append(row)
return output
def compareByDatapoints(self, allCBDBDataDict, hitID, contents):
output = {}
if hitID in allCBDBDataDict:
score_sum = 0
for data_type, data_content in allCBDBDataDict[hitID].items():
score = 0
catchTermsList = []
datapointList = data_content.split(";")
for datapointContentInCBDB in datapointList:
if datapointContentInCBDB == "":
continue
if datapointContentInCBDB in contents:
score += 1
score_sum += 1
catchTermsList.append(datapointContentInCBDB)
output[data_type] = [score, ";".join(catchTermsList)]
output["score_sum"] = score_sum
return output
def compareCBDBAndContentsComparing(
self, allCBDBDataDict, nameIDMapping, contentsList
):
output = []
for i in contentsList:
contentID = i[0]
contentName = i[1]
contents = i[2]
if contentName in nameIDMapping:
if nameIDMapping[contentName] == 0:
continue
for j in nameIDMapping[contentName]:
match_result = self.compareByDatapoints(
allCBDBDataDict, j, contents
)
output.append([contentID, j, contentName, match_result, contents])
return output
def writeCompareResult(self, compareResultList, compareResultListFile):
output = ""
header = [
"input_id",
"cbdb_id",
"person_name",
"match_score",
"altname_score",
"altname_match",
"biogaddr_score",
"biogaddr_match",
"entry_score",
"entry_match",
"contents",
"posting_score",
"posting_match",
"kin_score",
"kin_match",
"death_nh_score",
"death_nh_match",
"source_score",
"source_match",
"writing_score",
"writing_match",
"cbdb_dynasty",
"only_zero_score",
]
data_type_attention = ["altnameList", "biogAddrList", "entryList"]
# Lookup personid's dynasty id and dynasty name
person_dy = getVariousDataTypes().runQuery(
"SELECT DISTINCT BIOG_MAIN.c_personid, CAST(DYNASTIES.c_dy AS TEXT), DYNASTIES.c_dynasty_chn FROM DYNASTIES INNER JOIN BIOG_MAIN ON DYNASTIES.c_dy = BIOG_MAIN.c_dy"
)
new_compare_result_list = [header]
for row in compareResultList:
new_row = []
# Create input_id
new_row.append(row[0])
# Create cbdb_id
new_row.append(row[1])
# Create person_name
new_row.append(row[2])
# Create match_score
new_row.append(row[3]["score_sum"])
biog_addr_orignal_score = 0
# Create altname_score, biogaddr_score, entry_score
for data_type_attention_item in data_type_attention:
for match_result_keyword, match_result_data in row[3].items():
if match_result_keyword == data_type_attention_item:
# biogAddrList match the Jiguan and the belongs. If there are multiple matches, we only assign 1 score.
if match_result_keyword == "biogAddrList":
biog_addr_orignal_score = match_result_data[0]
if biog_addr_orignal_score > 0:
match_result_data[0] = 1
new_row += match_result_data
else:
new_row += match_result_data
# Update match_score base on biogAddrList score = 1 or 0
if biog_addr_orignal_score > 0:
new_row[3] = row[3]["score_sum"] - biog_addr_orignal_score + 1
new_row.append(row[-1])
# Create posting_score, kin_score, death_nh_score
for match_result_keyword, match_result_data in row[3].items():
if (
match_result_keyword not in data_type_attention
and match_result_keyword != "score_sum"
):
new_row += match_result_data
# Create Dynasty column
person_dy_item = ""
if row[1] in person_dy:
person_dy_item = person_dy[row[1]]
new_row.append(person_dy_item)
# create only_zero_score column for the next step
new_row.append("")
new_compare_result_list.append(new_row)
print("Creating only_zero_score column...")
# Create only_zero_score column
compareResultDf = pd.DataFrame(
new_compare_result_list[1:], columns=new_compare_result_list[0]
)
for index, new_row in enumerate(new_compare_result_list[1:]):
# # If new_row[3] is 0 and if row[0] records in compareResultList(compareResultList each records' first element is input_id), their scores(compareResultList each records' [3]) are all 0.
# # append yes, otherwise no.
only_zero_score = "no"
if new_row[3] == 0:
# check compareResultDf's input_id column, find new_row[0] in all compareResultDf's input_id column, if all of their scores are 0, then only_zero_score is yes.
if new_row[0] in compareResultDf["input_id"].values:
if (
compareResultDf[compareResultDf["input_id"] == new_row[0]][
"match_score"
].sum()
== 0
):
only_zero_score = "yes"
# new_compare_result_list[index + 1]'s last column is only_zero_score
new_compare_result_list[index + 1][-1] = only_zero_score
pd.DataFrame(new_compare_result_list).to_csv(
compareResultListFile + ".csv", sep=",", index=False, header=False
)
pd.DataFrame(new_compare_result_list).to_excel(
compareResultListFile + ".xlsx", index=False, header=False
)
def cleanWritingData(writing_dic):
ouput = {}
prefix_list = ["重修"]
for k, v in writing_dic.items():
if len(v) <= 1: continue
v_original = v
# Remove anything within a bracket
v = re.sub(r"[\((][^\((\))]*?[\))]", "", v)
# Match prefix from left and remove it
for prefix in prefix_list:
if v.startswith(prefix):
v = v[len(prefix):]
break
# Match nianhao and remove it
for nianhao in nianhaoList:
if nianhao in v:
v = v.replace(nianhao, "")
# Remove the content after :
if ":" in v:
v = v.split(":")[0]
if ":" in v:
v = v.split(":")[0]
if len(v) <=1:
v = v_original
ouput[k] = v.strip()
return ouput
# important variables declare
variousDataDict = {}
idNameMapping = {}
nameIDMapping = {}
contentsList = []
compareResultList = []
setupConditionsClass = setupConditions()
# setup Dynasties
batchIDByDY = setupConditionsClass.setupDy(
[
"6",
"7",
"8",
"10",
"11",
"12",
"13",
"15",
"16",
"17",
"34",
"38",
"47",
"48",
"49",
"52",
"55",
"57",
"59",
"66",
"78",
"18",
]
)
# setup indexyear
batchIDByIndexYear = setupConditionsClass.setupIndexYear(907, 1300)
personIDList = setupConditionsClass.mergeLists([batchIDByDY, batchIDByIndexYear])
# setup variants setting
normalizeNameSetting = 0
normalizeBiogSetting = 0
# setup address belongs match
addrBelongsMatchForBiogAddr = 0
getVariousDataTypesClass = getVariousDataTypes()
# creating ID Name mapping. Ex id:name
# and Name ID mapping. Ex name:[id1,id2,id3...]
print("Creating ID Name mapping")
idNameMapping = getVariousDataTypesClass.idNameMapping(personIDList)
nameIDMapping = getVariousDataTypesClass.nameIDMapping(idNameMapping)
# get alternative names
print("Collecting alternative name data...")
variousDataDict["altnameList"] = getVariousDataTypesClass.altname(personIDList)
# get jiguan
print("Collecting jiguan data...")
variousDataDict["biogAddrList"] = getVariousDataTypesClass.biogAddr(personIDList)
# get postings
print("Collecting posting data...")
variousDataDict["postingList"] = getVariousDataTypesClass.posting(personIDList)
# get relatives' names
print("Collecting kinship data...")
variousDataDict["kinList"] = getVariousDataTypesClass.kinName(personIDList)
# get entry data
print("Collecting entry data...")
variousDataDict["entryList"] = getVariousDataTypesClass.entry(personIDList)
# get death year Nianhao
print("Collecting death year Nianhao data...")
variousDataDict["deathNianhaoList"] = getVariousDataTypesClass.deathNianHao(
personIDList
)
# get source data
print("Collecting source data...")
variousDataDict["sourceList"] = getVariousDataTypesClass.source(personIDList)
variousDataDict["sourceList"] = cleanWritingData(variousDataDict["sourceList"])
# get writing data
print("Collecting writing data...")
variousDataDict["writingList"] = getVariousDataTypesClass.writing(personIDList)
variousDataDict["writingList"] = cleanWritingData(variousDataDict["writingList"])
# combine all data
print("Combining data...")
allCBDBDataDict = combineAllData(personIDList, variousDataDict)
# print("Testing id...")
# print(447386 in variousDataDict)
# print(idNameMapping[1])
# print(nameIDMapping["王安石"])
# print(nameIDMapping["王臣"])
# print(variousDataDict["altnameList"][11])
# print(variousDataDict["biogAddrList"][5])
# print(variousDataDict["postingList"][1])
# print(variousDataDict["kinList"][325])
# print(variousDataDict["kinList"][1])
# print(variousDataDict["deathNianhaoList"][1])
# print(allCBDBDataDict[1])
compareCBDBAndContentsClass = compareCBDBAndContents()
# construct contents
print("Constructing contents...")
contentsList = compareCBDBAndContentsClass.readContents(contentsName)
# compare CBDB data in the contents
compareResultList = compareCBDBAndContentsClass.compareCBDBAndContentsComparing(
allCBDBDataDict, nameIDMapping, contentsList
)
print("%s records were mapped" % len(compareResultList))
# print(compareResultList[:2])
# write file
compareCBDBAndContentsClass.writeCompareResult(compareResultList, compareResultListFile)
print("Finished")