Read PDF Text and write excel operation

import pdfplumber
import fitz
from PIL import Image
from aip import AipOcr
import re
import threading
import xlwt
import numpy as np
import pandas as pd

## extract pdf The text of the document is written into the physical examination report .txt in 

# pdf_name='pdf/ Xiaoshi General Manager - Aikang report -20220614.pdf'

# f=open(' Medical Examination Report .txt','w',encoding="utf-8")
# pdf=pdfplumber.open(pdf_name)

# page_count = len(pdf.pages)
# print(page_count)  #  Get pages 
# extra_list=[22,23,25,34,35]
# need_imglist=[x for x in range(8,21)]
# need_imglist.extend(extra_list)

# for index,page in enumerate(pdf.pages):
#     # print('----------  The first [%d] page  ----------' % page.page_number)
#     # #  Get all text information of the current page , Include text in table 
# 	if index in need_imglist:
# 		f.write(str(page.extract_text()))
# 		# print(page.extract_text())	
    

# f.close()
# pdf.close()


f=open(' Medical Examination Report .txt','r',encoding='utf-8')
content=''.join(f.readlines())
f.close()


### General inspection 
a={}

### height 
a[' height ']=re.findall('⾝⾼\s+([0-9,.]+)',content)[0]

## weight 
a[' weight ']=re.findall(' weight \s+([0-9,.]+)',content)[0]

# ### Body mass index 
a[' Body mass index ']=re.findall(' Body mass index \s+([0-9,.]+)',content)[0]

# ### systolic pressure 
a[' systolic pressure ']=re.findall(' systolic pressure \s+([0-9,.]+)',content)[0]

# ### diastolic pressure 
a[' diastolic pressure ']=re.findall(' diastolic pressure \s+([0-9,.]+)',content)[0]

print(a)
print('\n')



# ### internal medicine 
b={}
### medical history 
b[' medical history ']=re.findall(' medical history (.*)\n family history ',content)[0]

### family history 
b[' family history ']=re.findall(' family history (.*)',content)[0]

# ### heart rate 
b[' heart rate ']=re.findall('⼼ rate \s+(\d+)',content)[0]

# ###⼼ Law 
b['⼼ Law ']=re.findall('⼼ Law \s+(.*)',content)[0]

### heart sounds 
b[' heart sounds ']=re.findall('⼼⾳\s+(.*)',content)[0]

### Auscultation of the lungs 
b[' Auscultation of the lungs ']=re.findall(' Auscultation of the lungs \s+(.*)',content)[0]

### Palpation of the liver 
b[' Palpation of the liver ']=re.findall(' Palpation of the liver \s+(.*)',content)[0]

### Palpation of spleen 
b[' Palpation of spleen ']=re.findall(' Palpation of spleen \s+(.*)',content)[0]

### Renal percussion 
b[' Renal percussion ']=re.findall(' Renal percussion \s+(.*)',content)[0]

### Internal medicine others 
b[' Internal medicine others ']=re.findall(' Internal medicine others \s+(.*)',content)[0]

### Preliminary idea ⻅
b[' Preliminary idea ⻅']=''.join(re.findall(' Internal medicine others .+?\n(.+) Preliminary idea ⻅\s+(.+?) Surgery ',content,re.S)[0])

print(b)
print('\n')



### Surgery 
c={}

### The skin 
c[' The skin ']=re.findall('⽪ skin (.*)',content)[0]

### Superficial lymph nodes 
c[' Superficial lymph nodes ']=re.findall(' Superficial lymph nodes (.*)',content)[0]

# ### thyroid ( Surgery )
c[' thyroid ( Surgery )']=re.findall(' thyroid \( Surgery \)(.*)',content)[0]

# ### Spine 
c[' Spine ']=re.findall(' Spine (.*)',content)[0]

# ### The joints of the limbs 
c[' The joints of the limbs ']=re.findall(' The joints of the limbs (.*)',content)[0]

# ### Surgery, others 
c[' Surgery, others ']=re.findall(' Surgery, others (.*)',content)[0]

### Preliminary comments 
c[' Preliminary comments ']=re.findall(' Preliminary idea ⻅(.*)\n Department of gynaecology ',content)[0]

print(c)
print('\n')


d={}

### History of surgery 
d['⼿ Art History ']=re.findall(' Company \n⼿ Art History (.*)',content)[0]

### vulva 
d[' vulva ']=re.findall(' vulva (.*)',content)[0]

### Vagina 
d[' Vagina ']=re.findall(' Vagina (.*)',content)[0]

### Cervical 
d[' Cervical ']=re.findall(' Cervical (.*)',content)[0]

### uterus 
d[' uterus ']=re.findall('⼦ The Palace (.*)\n The attachment ',content)[0]

### The attachment 
d[' The attachment ']=re.findall(' The attachment (.*)\n Other gynecological ',content)[0]

### Other gynecological 
d[' Other gynecological ']=re.findall(' Other gynecological (.*)',content)[0]

### Preliminary comments 
d[' Preliminary comments ']=''.join(re.findall(' Other gynecological (.*?) Preliminary idea ⻅(.*?) Ophthalmology Department ',content,re.S)[0]).replace('⽆  \n','')

print(d)
print('\n')



e={}

### External eye 
e[' External eye ']=re.findall(' External eye (.*)',content)[0]

### Ophthalmology others 
e[' Ophthalmology others ']=re.findall(' Ophthalmology others (.*)',content)[0]

### Slit lamp inspection 
e[' Slit lamp inspection ']=re.findall(' Slit lamp inspection (.*)',content)[0]

### Ophthalmoscopy 
e[' Ophthalmoscopy ']=re.findall(' Ophthalmoscopy (.*)',content)[0]

### Non contact intraocular pressure in the left eye 
e[' Non contact intraocular pressure in the left eye ']=re.findall(' Right eye ⾮ Contact intraocular pressure \s+(\d+)',content)[0]

### Non contact intraocular pressure in the right eye 
e[' Non contact intraocular pressure in the right eye ']=re.findall(' The left eye ⾮ Contact intraocular pressure \s+(\d+)',content)[0]

### Preliminary comments 
e[' Preliminary comments ']=re.findall(' Preliminary idea ⻅(.*)\n⽿ Department of rhinolaryngology ',content)[0]


print(e)
print('\n')



f={}
### Past history 
f[' Past history ']=re.findall(' Past history (.*)',content)[0]

### External ear 
f[' External ear ']=re.findall(' Outside ⽿(.*)',content)[0]

### External auditory canal 
f[' External auditory canal ']=re.findall(' Outside ⽿ Avenue (.*)',content)[0]

### Tympanic membrane 
f[' Tympanic membrane ']=re.findall('⿎ membrane (.*)',content)[0]

### nasal cavity 
f[' nasal cavity ']=re.findall(' nasal cavity (.*)',content)[0]

### Nasal septum 
f[' Nasal septum ']=re.findall(' Nasal septum (.*)',content)[0]

### pharynx 
f[' pharynx ']=re.findall(' pharynx (.*)\n tonsil ',content)[0]

### tonsil 
f[' tonsil ']=re.findall(' tonsil (.*)',content)[0]

### Otorhinolaryngology and others 
f[' Otorhinolaryngology and others ']=re.findall('⽿ Nasopharynx department other (.*)',content)[0]

### Preliminary comments 
f[' Preliminary comments ']=re.findall(' Preliminary idea ⻅(.*)\n⾎ routine ',content)[0]


print(f)
print('\n')



g={}

### White blood cell count 
g[' White blood cell count ']=re.findall(' Cell count  WBC ([\d,.]+)',content)[0]

# ### Red blood cell count 
g[' Red blood cell count ']=re.findall(' Red blood cell count  RBC ([\d,.]+)',content)[0]

### Hemoglobin 
g[' Hemoglobin ']=re.findall('⾎ Red egg ⽩ Hb ([\d,.]+)',content)[0]

# ### Hematocrit 
g[' Hematocrit ']=re.findall(' Hematocrit  HCT ([\d,.]+)',content)[0]

# ### Mean corpuscular volume 
g[' Mean corpuscular volume ']=re.findall(' Mean corpuscular volume  MCV ([\d,.]+)',content)[0]

# ### Mean corpuscular hemoglobin content 
g[' Mean corpuscular hemoglobin content ']=re.findall(' Mean red blood cells ⾎ Red egg ⽩ content  MCH ([\d,.]+)',content)[0]

# ### Mean corpuscular hemoglobin concentration 
g[' Mean corpuscular hemoglobin concentration ']=re.findall(' Mean red blood cells ⾎ Red egg ⽩ concentration  MCHC ([\d,.]+)',content)[0]

# ### Coefficient of variation of red blood cell distribution width 
g[' Coefficient of variation of red blood cell distribution width ']=re.findall(' Red blood cell distribution width - Coefficient of variation  RDW-CV ([\d,.]+)',content)[0]

# ### Platelet count 
g[' Platelet count ']=re.findall('⾎⼩ Plate count  PLT ([\d,.]+)',content)[0]

# ### Mean platelet volume 
g[' Mean platelet volume ']=re.findall(' Average ⾎⼩ Plate volume  MPV ([\d,.]+)',content)[0]

# ### Platelet distribution width 
g[' Platelet distribution width ']=re.findall('⾎⼩ Plate distribution width  PDW ([\d,.]+)',content)[0]

# ### Percentage of lymphocytes 
g[' Percentage of lymphocytes ']=re.findall(' Percentage of lymphocytes ⽐ LYMPH% ([\d,.]+)',content)[0]

# ### Percentage of neutrophils 
g[' Percentage of neutrophils ']=re.findall(' Neutrophil percentage ⽐ NEUT% ([\d,.]+)',content)[0]

### Absolute value of lymphocyte 
g[' Absolute value of lymphocyte ']=re.findall(' Absolute value of lymphocyte  LYMPH ([\d,.]+)',content)[0]

### Absolute neutrophil count 
g[' Absolute neutrophil count ']=re.findall(' Absolute neutrophil count  NEUT ([\d,.]+)',content)[0]

### Standard deviation of red blood cell distribution width 
g[' Standard deviation of red blood cell distribution width ']=re.findall(' Red blood cell distribution width - Standard deviation  RDW-SD ([\d,.]+)',content)[0]

### Hematocrit 
g[' Hematocrit ']=re.findall('⾎⼩ Plate accretion  PCT ([\d,.]+)',content)[0]

### Percentage of monocytes 
g[' Percentage of monocytes ']=re.findall('MONO% ([\d,.]+)',content)[0]

### The absolute value of monocytes 
g[' The absolute value of monocytes ']=re.findall(' The absolute value of monocytes  MONO ([\d,.]+)',content)[0]

### Percentage of eosinophils 
g[' Percentage of eosinophils ']=re.findall(' Percentage of eosinophils ⽐ EOS% ([\d,.]+)',content)[0]

### Eosinophil absolute value 
g[' Eosinophil absolute value ']=re.findall(' Eosinophil absolute value  EOS ([\d,.]+)',content)[0]

### Basophil percentage 
g[' Basophil percentage ']=re.findall(' Basophil percentage ⽐ BASO% ([\d,.]+)',content)[0]

### Basophil absolute value 
g[' Basophil absolute value ']=re.findall(' Basophil absolute value  BASO ([\d,.]+)',content)[0]

## Summary 
g[' Summary ']=re.findall(' Basophil absolute value .+9/L(.*?) notes ',content,re.S)[0].replace('⼩ junction ','')



print(g)
print('\n')


h={}

### Specific gravity of urine 
h[' Specific gravity of urine ']=re.findall(' urine ⽐ heavy  SG ([\d,.]+)',content)[0]

# ### Urine pH 
h[' Urine pH ']=re.findall(' Urine pH  PH ([\d,.]+)',content)[0]

# ### Urine white blood cells 
h[' Urine white blood cells ']=re.findall(' urine ⽩ cells  LEU\s(.{2})',content)[0]

# ### Urine nitrite 
h[' Urine nitrite ']=re.findall(' Urine nitrite  NIT\s(.{2})',content)[0]

### Urine protein 
h[' Urine protein ']=re.findall(' Piss eggs ⽩ quality  PRO\s(.{2})',content)[0]

### Urine sugar 
h[' Urine sugar ']=re.findall(' Urine sugar  GLU\s(.{2})',content)[0]


### Uroketone body 
h[' Uroketone body ']=re.findall(' Uroketone body  KET\s(.{2})',content)[0]

### Urobilinogen 
h[' Urobilinogen ']=re.findall(' Urobilinogen  URO\s(.{2})',content)[0]

### Urinary bilirubin 
h[' Urinary bilirubin ']=re.findall(' Urinary bilirubin  BIL\s(.{2})',content)[0]

### Urine occult blood 
h[' Urine occult blood ']=re.findall(' Urine concealment ⾎ BLD (\d.)',content)[0]


# ### Urine microscopic examination of red blood cells 
h[' Urine microscopic examination of red blood cells ']=re.findall(' Urine microscopic examination of red blood cells  RBC (.+?)\s',content)[0]

### Urine microscopic examination of white blood cells 
h[' Urine microscopic examination of white blood cells ']=re.findall(' Urine microscopy ⽩ cells \nWBC (.+?)\s',content)[0]

# ### Tube type 
h[' Tube type ']=re.findall('CAST (.*?)\s',content)[0]

# ### epithelial cells 
h[' epithelial cells ']=re.findall(' On ⽪ cells  EC (.+?)\s',content)[0]

# ### Urine ascorbic acid 
h[' Urine ascorbic acid ']=re.findall(' Urine resistance is bad ⾎ acid    (.*?)\s',content)[0]

# ### Summary 
h[' Summary ']=re.findall(' Urine resistance is bad ⾎ acid    .*? sex .*? sex .*?\n(.*?) notes ',content,re.S)[0].replace('\n⼩ junction ',' ')

h[' Urinary microalbumin quantitation ']=re.findall(' Urine trace ⽩ egg ⽩ ration  U-ALB ([\d,.]*)',content)[0]

# ### carbon 14- Urea breath test 
h[' carbon 14- Urea breath test ']=re.findall(' carbon 14- Urea exhales ⽓ test  14C-UBT ([\d,.]*)',content)[0]


print(h)
print('\n')



i={}

### Leucorrhea cleanliness 
i[' Leucorrhea cleanliness ']=re.findall('⽩ With cleanliness \s+(.*?)\s',content)[0]

### Moniliform bacteria 
i[' Moniliform bacteria ']=re.findall(' Moniliform bacteria \s+(.*?)\s',content)[0]


### trichomonad 
i[' trichomonad ']=re.findall(' drop ⾍\s+(.*?)\s',content)[0]

### Cervical TCT
i[' Cervical TCT']=re.findall(' drop ⾍.+? sex .+? sex (.*?)⼩ junction ',content,re.S)[0].replace(' Cervical TCT','').replace(' ','')

### Summary 
i[' Summary ']=re.findall(' drop ⾍.+? sex .+? sex .*?⼩ junction  (.*?) notes ：',content,re.S)[0]

print(i)
print('\n')



#### Laboratory examination 
j={}



###HPV16 type 
j['HPV16 type ']=re.findall('HPV16 type  HPV16 ([\d,.]*)',content)[0]


###HPV18 type 
j['HPV18 type ']=re.findall('HPV18 type  HPV18 ([\d,.]*)',content)[0]


###HPV31 type 
j['HPV31 type ']=re.findall('HPV31 type  HPV31 ([\d,.]*)',content)[0]


###HPV33 type 
j['HPV33 type ']=re.findall('HPV33 type  HPV33 ([\d,.]*)',content)[0]


###HPV35 type 
j['HPV35 type ']=re.findall('HPV35 type  HPV35 ([\d,.]*)',content)[0]

###HPV39 type 
j['HPV39 type ']=re.findall('HPV39 type  HPV39 ([\d,.]*)',content)[0]

###HPV45 type 
j['HPV45 type ']=re.findall('HPV45 type  HPV45 ([\d,.]*)',content)[0]

###HPV51 type 
j['HPV51 type ']=re.findall('HPV51 type  HPV51 ([\d,.]*)',content)[0]

###HPV52 type 
j['HPV52 type ']=re.findall('HPV52 type  HPV52 ([\d,.]*)',content)[0]

###HPV53 type 
j['HPV53 type ']=re.findall('HPV53 type  HPV53 ([\d,.]*)',content)[0]

###HPV56 type 
j['HPV56 type ']=re.findall('HPV56 type  HPV56 ([\d,.]*)',content)[0]

###HPV58 type 
j['HPV58 type ']=re.findall('HPV58 type  HPV58 ([\d,.]*)',content)[0]

###HPV59 type 
j['HPV59 type ']=re.findall('HPV59 type  HPV59 ([\d,.]*)',content)[0]

###HPV66 type 
j['HPV66 type ']=re.findall('HPV66 type  HPV66 ([\d,.]*)',content)[0]

###HPV68 type 
j['HPV68 type ']=re.findall('HPV68 ([\d,.]*)',content)[0]

###HPV6 type 
j['HPV6 type ']=re.findall('HPV6 type  HPV6 ([\d,.]*)',content)[0]

###HPV11 type 
j['HPV11 type ']=re.findall('HPV11 type  HPV11 ([\d,.]*)',content)[0]

###HPV43 type 
j['HPV43 type ']=re.findall('HPV43 type  HPV43 ([\d,.]*)',content)[0]

###HPV42 type 
j['HPV42 type ']=re.findall('HPV42 type  HPV42 ([\d,.]*)',content)[0]

###HPV44 type 
j['HPV44 type ']=re.findall('HPV44 type  HPV44 ([\d,.]*)',content)[0]

###HPV40 type 
j['HPV40 type ']=re.findall('HPV40 type  HPV40 ([\d,.]*)',content)[0]

###HPV26 type 
j['HPV26 type ']=re.findall('HPV26 type  HPV26 ([\d,.]*)',content)[0]

###HPV55 type 
j['HPV55 type ']=re.findall('HPV55 type  HPV55 ([\d,.]*)',content)[0]

###HPV61 type 
j['HPV61 type ']=re.findall('HPV61 type  HPV61 ([\d,.]*)',content)[0]

###HPV81 type 
j['HPV81 type ']=re.findall('HPV81 type    ([\d,.]*)',content)[0]

###HPV83 type 
j['HPV83 type ']=re.findall('HPV83 type  HPV83 ([\d,.]*)',content)[0]

###HPV82 type 
j['HPV82 type ']=re.findall('HPV82 type  HPV82 ([\d,.]*)',content)[0]



### Anti thyroid peroxidase antibody 
j[' Anti thyroid peroxidase antibody ']=re.findall(' Antithyroid peroxidase  Anti-TP\n([\d,.]*)',content)[0]


### Gastrin 17
j[' Gastrin 17']=re.findall(' Gastrin 17 G-17 ([\d,.]*)',content)[0]

### Alanine aminotransferase 
j[' Alanine aminotransferase ']=re.findall(' Alanine aminotransferase  ALT ([\d,.]*)',content)[0]

### Aspartate aminotransferase 
j[' Aspartate aminotransferase ']=re.findall(' God ⻔ Aspartate aminotransferase  AST ([\d,.]*)',content)[0]

###γ- Glutamyltransferase 
j['γ- Glutamyltransferase ']=re.findall('γ-⾕ Aminoacyltransferase  GGT ([\d,.]*)',content)[0]

### Alkaline phosphatase 
j[' Alkaline phosphatase ']=re.findall(' Alkaline phosphatase  ALP ([\d,.]*)',content)[0]

### Total bile acid 
j[' Total bile acid ']=re.findall(' Total bile acid  TBA ([\d,.]*)',content)[0]

### Cholinesterase 
j[' Cholinesterase ']=re.findall(' Cholinesterase  CHE ([\d,.]*)',content)[0]



### Total bilirubin 
j[' Total bilirubin ']=re.findall(' Total bilirubin  TBIL ([\d,.]*)',content)[0]

### Direct bilirubin 
j[' Direct bilirubin ']=re.findall('DBIL ([\d,.]*)',content)[0]

### Indirect bilirubin 
j[' Indirect bilirubin ']=re.findall(' Indirect bilirubin  IBIL ([\d,.]*)',content)[0]

### Total protein 
j[' Total protein ']=re.findall(' Total egg ⽩ TP ([\d,.]*)',content)[0]

### Albumin 
j[' Albumin ']=re.findall('⽩ egg ⽩ ALB ([\d,.]*)',content)[0]

### Globulin 
j[' Globulin ']=re.findall(' Balls and eggs ⽩ GLb ([\d,.]*)',content)[0]



### Albumin / Globulin ratio 
j[' Albumin / Globulin ratio ']=re.findall('⽩ egg ⽩/ Balls and eggs ⽩⽐ value  A/G ([\d,.]*)',content)[0]

### urea 
j[' urea ']=re.findall(' urea  UREA ([\d,.]*)',content)[0]

### creatinine 
j[' creatinine ']=re.findall(' creatinine  Cr ([\d,.]*)',content)[0]

### uric acid 
j[' uric acid ']=re.findall(' uric acid  UA ([\d,.]*)',content)[0]

###β2 Microglobulin 
j['β2 Microglobulin ']=re.findall('β2 Microsphere egg ⽩ β2-MG ([\d,.]*)',content)[0]

### Serum cystatin C
j[' Serum cystatin C']=re.findall('⾎ Cystatin C Cys-C ([\d,.]*)',content)[0]

### Fasting blood glucose 
j[' Fasting blood glucose ']=re.findall(' An empty stomach ⾎ glucose  FBG ([\d,.]*)',content)[0]

### glycosylated hemoglobin 
j[' glycosylated hemoglobin ']=re.findall(' Saccharification ⾎ Red egg ⽩ HBA1c ([\d,.]*)',content)[0]

### Insulin 
j[' Insulin ']=re.findall(' Insulin  INS ([\d,.]*)',content)[0]

###C peptide 
j['C peptide ']=re.findall('C- peptide  C-P ([\d,.]*)',content)[0]

### Total cholesterol 
j[' Total cholesterol ']=re.findall(' Total cholesterol  TC ([\d,.]*)',content)[0]

### triglycerides 
j[' triglycerides ']=re.findall('⽢ Oleotriene  TG ([\d,.]*)',content)[0]

### HDL cholesterol 
j[' HDL cholesterol ']=re.findall('⾼ Density fat eggs ⽩ Cholesterol  HDL-C ([\d,.]*)',content)[0]

### LDL cholesterol 
j[' LDL cholesterol ']=re.findall(' Low density fat egg ⽩ Cholesterol  LDL-C ([\d,.]*)',content)[0]

### Apolipoproteins A1
j[' Apolipoproteins A1']=re.findall(' Fatty eggs ⽩A1 Apo-A1 ([\d,.]*)',content)[0]

### Apolipoproteins B
j[' Apolipoproteins B']=re.findall(' Fatty eggs ⽩B Apo-B ([\d,.]*)',content)[0]

### Lipoproteins (a)
j[' Lipoproteins (a)']=re.findall(' Fat eggs ⽩\(a\) LP\(a\) ([\d,.]*)',content)[0]

### Phosphocreatine kinase 
j[' Phosphocreatine kinase ']=re.findall(' Phosphocreatine kinase  CK ([\d,.]*)',content)[0]

### Phosphocreatine kinase isoenzyme 
j[' Phosphocreatine kinase isoenzyme ']=re.findall(' Phosphocreatine kinase is the same as ⼯ enzyme  CK-MB ([\d,.]*)',content)[0]



### Lactate dehydrogenase 
j[' Lactate dehydrogenase ']=re.findall(' Lactate dehydrogenase  LDH ([\d,.]*)',content)[0]

### Hypersensitivity C Reactive protein 
j[' Hypersensitivity C Reactive protein ']=re.findall(' Hypersensitivity C Reaction egg ⽩ HS-CRP ([\d,.]*)',content)[0]


### Homocysteine 
j[' Homocysteine ']=re.findall(' Homocysteine  Hcy ([\d,.]*)',content)[0]


### Whole blood viscosity 1
j[' Whole blood viscosity 1']=re.findall(' whole ⾎ viscosity 1   ([\d,.]*)',content)[0]


### Whole blood viscosity 5
j[' Whole blood viscosity 5']=re.findall(' whole ⾎ viscosity 5   ([\d,.]*)',content)[0]


### Whole blood viscosity 30
j[' Whole blood viscosity 30']=re.findall(' whole ⾎ viscosity 30   ([\d,.]*)',content)[0]


### Whole blood viscosity 200
j[' Whole blood viscosity 200']=re.findall(' whole ⾎ viscosity 200   ([\d,.]*)',content)[0]




### Plasma viscosity 
j[' Plasma viscosity ']=re.findall('⾎ Slurry viscosity  P Visc. ([\d,.]*)',content)[0]


### esr 
j[' esr ']=re.findall('⾎ sink  ESR ([\d,.]*)',content)[0]


### Accretion 
j[' Accretion ']=re.findall('⾎ sink .*?\n Accretion  HCT ([\d,.]*)',content)[0]


### Whole blood high shear relative index 
j[' Whole blood high shear relative index ']=re.findall(' whole ⾎⾼ Tangent relative index    ([\d,.]*)',content)[0]


### Whole blood low shear relative index 
j[' Whole blood low shear relative index ']=re.findall(' whole ⾎ Low shear relative index    ([\d,.]*)',content)[0]


### ESR equation K value 
j[' ESR equation K value ']=re.findall('⾎ sink ⽅ cheng K value  ESR-FK ([\d,.]*)',content)[0]


### Erythrocyte aggregation index 
j[' Erythrocyte aggregation index ']=re.findall(' Erythrocyte aggregation index  Agrbc ([\d,.]*)',content)[0]


### Whole blood low shear reduction viscosity 
j[' Whole blood low shear reduction viscosity ']=re.findall(' whole ⾎ Low shear reduction viscosity    ([\d,.]*)',content)[0]


### Whole blood high shear reduction viscosity 
j[' Whole blood high shear reduction viscosity ']=re.findall(' whole ⾎⾼ Shear reduction viscosity    ([\d,.]*)',content)[0]


### Erythrocyte rigidity index 
j[' Erythrocyte rigidity index ']=re.findall(' Erythrocyte rigidity index  IR ([\d,.]*)',content)[0]


### Erythrocyte deformability index 
j[' Erythrocyte deformability index ']=re.findall(' Erythrocyte deformability index  TK ([\d,.]*)',content)[0]

### Rheumatoid factor 
j[' Rheumatoid factor ']=re.findall(' class ⻛ Dampness causes ⼦ RF ([\d,.]*)',content)[0]


### Anti streptolysin “0
j[' Anti streptolysin “0']=re.findall(' Antistreptolysin ⾎ plain “O” ASO ([\d,.]*)',content)[0]





###EB Virus resistance - VCAIgA
j['EB Virus resistance - VCAIgA']=re.findall('EB Virus resistance -VCAIgA (.{2})',content)[0]

### Alpha fetoprotein (T-12)
j[' Alpha fetoprotein (T-12)']=re.findall(' A foetus egg ⽩（T-12） AFP ([\d,.]*)',content)[0]

### Carcinoembryonic antigen (T-12)
j[' Carcinoembryonic antigen (T-12)']=re.findall(' Carcinoembryonic antigen （T-12） CEA ([\d,.]*)',content)[0]





### carbohydrate antigen 19-9(T-12)
j[' carbohydrate antigen 19-9(T-12)']=re.findall(' carbohydrate antigen 19-9（T-12） CA19-9 ([\d,.]*)',content)[0]


### carbohydrate antigen 242(T-12)
j[' carbohydrate antigen 242(T-12)']=re.findall(' carbohydrate antigen 242（T-12） CA242 ([\d,.]*)',content)[0]

### carbohydrate antigen 125(T-12)
j[' carbohydrate antigen 125(T-12)']=re.findall(' carbohydrate antigen 125（T-12） CA125 ([\d,.]*)',content)[0]

### carbohydrate antigen 15-3(T-12)
j[' carbohydrate antigen 15-3(T-12)']=re.findall(' carbohydrate antigen 15-3（T-12） CA15-3 ([\d,.]*)',content)[0]



### Cytokeratin 19 fragment (T-12)
j[' Cytokeratin 19 fragment (T-12)']=re.findall(' cells ⻆ egg ⽩19⽚ paragraph （T-1 CYFRA2\n([\d,.]*)',content)[0]


### Neuron specific enolase (T-12)NSE
j[' Neuron specific enolase (T-12)NSE']=re.findall(' Neuron specific enolase \nNSE ([\d,.]*)',content)[0]



### Pepsinogen (T-12)
j[' Pepsinogen (T-12)']=re.findall(' Stomach egg ⽩ Zymogen Ⅰ（T-12） PGⅠ ([\d,.]*)',content)[0]


### Pepsinogen Ⅱ(T-12)
j[' Pepsinogen Ⅱ(T-12)']=re.findall(' Stomach egg ⽩ Zymogen Ⅱ（T-12） PGⅡ ([\d,.]*)',content)[0]




### Human chorionic gonadotropin free β Subunits 
j[' Human chorionic gonadotropin free β Subunits ']=re.findall('⼈ Velvet ⽑ Membrane gonadotropin swim  free-β-\n([\d,.]*)',content)[0]




### Squamous cell carcinoma associated antigen (T-12)
j[' Squamous cell carcinoma associated antigen (T-12)']=re.findall(' On the scales ⽪ Cell carcinoma related anti - \nSCC ([\d,.]*)',content)[0]

###PGl/PGIl(T-12)
j['PGl/PGIl(T-12)']=re.findall('PGI/PGII\(T-12\) ([\d,.]*)',content)[0]


### Free triiodothyronine 
j[' Free triiodothyronine ']=re.findall(' Free triiodothyronine  FT3 ([\d,.]*)',content)[0]

### Free thyroxine 
j[' Free thyroxine ']=re.findall(' Free thyroxine  FT4 ([\d,.]*)',content)[0]


### Triiodothyronine 
j[' Triiodothyronine ']=re.findall(' Triiodothyronine  T3 ([\d,.]*)',content)[0]



### Thyroxine 
j[' Thyroxine ']=re.findall(' Thyroxine  T4 ([\d,.]*)',content)[0]



### Thyrotropin 
j[' Thyrotropin ']=re.findall(' Thyrotropin  TSH ([\d,.]*)',content)[0]

### Anti thyroglobulin antibodies 
j[' Anti thyroglobulin antibodies ']=re.findall(' Antithyroid globulin ⽩ antibody  TG-Ab (< [\d,.]*)',content)[0]


### progesterone 
j[' progesterone ']=re.findall(' progesterone  P ([\d,.]*)',content)[0]


### Estradiol 
j[' Estradiol ']=re.findall(' female ⼆ alcohol  E2 ([\d,.]*)',content)[0]


### Follicle stimulating hormone 
j[' Follicle stimulating hormone ']=re.findall(' Follicle stimulating hormone  FSH ([\d,.]*)',content)[0]


### Luteinizing hormone 
j[' Luteinizing hormone ']=re.findall(' promote ⻩ body ⽣ Hormones  LH ([\d,.]*)',content)[0]


### testosterone 
j[' testosterone ']=re.findall(' testosterone  T ([\d,.]*)',content)[0]


### Prolactin 
j[' Prolactin ']=re.findall(' Prolactin  PRL ([\d,.]*)',content)[0]


### immunoglobulin A
j[' immunoglobulin A']=re.findall(' Immunoglobulin eggs ⽩A IgA ([\d,.]*)',content)[0]

### immunoglobulin G
j[' immunoglobulin G']=re.findall(' Immunoglobulin eggs ⽩G IgG ([\d,.]*)',content)[0]


### immunoglobulin M
j[' immunoglobulin M']=re.findall(' Immunoglobulin eggs ⽩M IgM ([\d,.]*)',content)[0]


### immunoglobulin E
j[' immunoglobulin E']=re.findall(' Immunoglobulin eggs ⽩E IgE ([\d,.]*)',content)[0]


### complement C3
j[' complement C3']=re.findall(' complement C3 C3 ([\d,.]*)',content)[0]


### complement C4
j[' complement C4']=re.findall(' complement C4.*?C4 ([\d,.]*)',content,re.S)[0]


### serum Ⅲ Type I procollagen 
j[' serum Ⅲ Type I procollagen ']=re.findall('⾎ clear Ⅲ Before type 㬵 primary  PCⅢ ([\d,.]*)',content)[0]


### serum Ⅳ Type collagen 
j[' serum Ⅳ Type collagen ']=re.findall('⾎ clear IV type 㬵 primary  CIV ([\d,.]*)',content)[0]


### Serum laminin 
j[' Serum laminin ']=re.findall('⾎ Clear the adhesive layer ⽩ LN ([\d,.]*)',content)[0]

### Serum hyaluronic acid 
j[' Serum hyaluronic acid ']=re.findall('⾎ Hyaluronic acid  HA ([\d,.]*)',content)[0]


### Summary 
j[' Summary ']=re.findall('0.00-120.00 ng/mL\n(.*) notes ： This result is only responsible for the barcode samples , For clinical reference only .\n⼼ Electrogram room ',content,re.S)[0].replace(' Summary ','')

print(j)
print('\n')






### ECG Room 
k={}

### electrocardiogram 
k[' electrocardiogram ']=''.join(list(re.findall(' Company \n⼼ Electrogram  (.*)',content)[0]))

### Preliminary comments 
k[' Preliminary comments ']=re.findall(' Check the item ⽬  The inspection office ⻅  Company \n.*\n Preliminary idea ⻅ (.*?)\n Ultrasonic examination room ',content,re.S)[0]

print(k)
print('\n')

### Ultrasonic room examination 
l={}


### liver 
l[' liver ']=re.findall(' Ultrasonic examination room   Inspector ：.*\n Check the item ⽬  The inspection office ⻅  Company \n(.*?)\n gallbladder ',content,re.S)[0].replace('\n liver ','')

### gallbladder 
l[' gallbladder ']=re.findall(' gallbladder  (.*?)\n pancreas  ',content,re.S)[0]

### pancreas 
l[' pancreas ']=re.findall(' pancreas  (.*?)\n The spleen  ',content,re.S)[0]

### The spleen 
l[' The spleen ']=re.findall(' The spleen  (.*?)\n Aikang Junan ',content,re.S)[0]+re.findall(' The spleen  .* Medical examination No  \d+\n(.*?)\n Double kidney ',content,re.S)[0]

# ### Double kidney 
l[' Double kidney ']=re.findall('( Double kidney morphology .*?)\n⼦ The Palace ',content,re.S)[0].replace('\n Double kidney ','')

# ### uterus 
l[' uterus ']=re.findall(' Double kidney morphology .*?\n(⼦ The Palace .*?)\n The attachment  ',content,re.S)[0].replace('\n⼦ The Palace ','')

# ### The attachment 
l[' The attachment ']=re.findall(' Double kidney morphology .*?\n⼦ The Palace .*?\n( Left attachment .*?)\n Bilateral mammary glands ',content,re.S)[0].replace('\n The attachment ','')

# ### Breast 
l[' Breast ']=re.findall('( Bilateral mammary glands .*?)\n thyroid ',content,re.S)[0]


# ### thyroid 
l[' thyroid ']=re.findall('( Thyroid morphology ⼤⼩.*?)\n Bilateral common carotid arteries ',content,re.S)[0].replace('\n thyroid  ','')

### Carotid artery 
l[' Carotid artery ']=re.findall('( Bilateral common carotid arteries .*?)\n The inspection office ⻅',content,re.S)[0]

# ### The heart 
l[' The heart ']=re.findall(' Carotid artery .*?\n The inspection office ⻅：\n(.*)\n Bladder  ',content,re.S)[0].replace('\n⼼ dirty  ','')

# ### Bladder 
l[' Bladder ']=re.findall(' Bladder  (.*)',content)[0]

# ### Summary 
l[' Summary ']=''.join(re.findall(' Bladder  .*?(1.*?)\n Aikang Junan .*? Medical examination No .*?\n(.*?) Aikang Junan ',content,re.S)[0]).replace('\n Preliminary idea ⻅ ','')

print(l)
print('\n')


###CT
m={}

m[' Head ']=re.findall('CT room  .*?  Company (.*?)\n chest CT Scan ',content,re.S)[0]

m[' chest ']=re.findall('( chest CT Scan .*?)\n Preliminary idea ⻅',content,re.S)[0]

m[' Preliminary comments ']=re.findall(' chest CT Scan .*?\n Preliminary idea ⻅(.*?)\n⻣ Density examination room ',content,re.S)[0].replace('\n Preliminary idea ⻅ ','')


print(m)
print('\n')

### bone density 
n={}

n[' bone density ']=re.findall('⻣ density  (.*?)\n Preliminary idea ⻅ ',content,re.S)[0]

n[' Preliminary comments ']=re.findall('⻣ density  .*?\n Preliminary idea ⻅ (.*?) Arteriosclerosis test room ',content,re.S)[0].replace('\n Preliminary idea ⻅ ','')

print(n)
print('\n')

### Arteriosclerosis test room 
o={}

o[' Arteriosclerosis test ']=re.findall('( Arteriosclerosis test  .*)\n Transcranial Doppler examination room ',content,re.S)[0]


o[' Transcranial Doppler ']=re.findall(' Transcranial Doppler examination room  .*? Company \n(.*?) Preliminary idea ⻅ ',content,re.S)[0]

o[' Preliminary comments ']=re.findall(' Transcranial Doppler examination room  .*? Company \n.*? Preliminary idea ⻅ (.*?) Then you hide ⾎',content,re.S)[0]

print(o)
print('\n')


# ### Hepatitis B test report 
p={}

p[' Hepatitis B virus surface antigen ']=re.findall('⼄ Hepatitis A virus table ⾯ antigen  HBsAg (.{2})',content)[0]

p[' Hepatitis B virus surface antibody ']=re.findall('⼄ Hepatitis A virus table ⾯ antibody  HBsAb (.{2})',content)[0]

p[' Hepatitis B virus e antigen ']=re.findall('⼄ Hepatitis B virus e antigen  HBeAg (.{2})',content)[0]

p[' Hepatitis B virus e antibody ']=re.findall('⼄ Hepatitis B virus e antibody  HBeAb (.{2})',content)[0]

p[' Hepatitis B virus core antibody ']=re.findall('⼄ Hepatitis B virus nucleus ⼼ antibody  HBcAb (.{2})',content)[0]

p[' Summary ']=re.findall('⼄ Hepatitis B virus nucleus ⼼ antibody  HBcAb .*?⼩ junction  (.*?) notes ',content,re.S)[0]



print(p)
print('\n')


### teeth 
q={}
q[' Oral glands ']=re.findall('⼝ Antral glands .*?\n(1、.*?)1、',content,re.S)[0]
q[' Dentition ']=re.findall('⼝ Antral glands .*?\n1、.*?(1、.*?)1',content,re.S)[0]
q[' lip ']=re.findall('⼝ Antral glands .*?\n1、.*?1、.*?(1.*?)1',content,re.S)[0]
q[' Teeth ']=re.findall('⼝ Antral glands .*?\n1、.*?1、.*?1.*?(1.*?)⽛ Zhou ',content,re.S)[0].replace('\n','')
q[' dental periphery ']='1、⽛ Gingivitis  2、⽛ junction ⽯ 3、⽛ Gingival atrophy ：I'
q[' tongue ']='1、 not ⻅ Obviously abnormal '
q[' palate ']='1、 not ⻅ Obviously abnormal '
q[' Oral mucosa ']='1、 not ⻅ Obviously abnormal '
q[' Temporomandibular joint ']='1、 not ⻅ Obviously abnormal '
q[' Other in stomatology ']='1、 not ⻅ Obviously abnormal '
print(q)


### Bone mineral density test results 
r={}
r[' Mean bone mineral density ']=re.findall(' Mean bone mineral density 1(.*)',content)[0]
r['T value ']=re.findall('T value \s([\d,\.]+)',content)[0]
r['Z value ']=re.findall('Z value \s([\d,\.]+)',content)[0]
r[' Percentage of peak bone mineral density ']=re.findall(' Percentage of peak bone mineral density (.*)',content)[0]
r[' Chinese osteoporosis standard ']=re.findall(' Chinese osteoporosis standard 2(.*)',content)[0]
r[' Who standards ']=re.findall(' Who standards (.*)',content)[0]
print(r)

import openpyxl as op


wb = op.load_workbook(" Aikang female template .xlsx")
sh=wb["sheet1"]

###sh.cell(1,2,'aaa') It means the actual 1 Xing di 2 Add content to the cells of the column aaa

### General inspection 
for x in range(3,8):
	sh.cell(x,4,list(a.values())[x-3])


### internal medicine 
for x in range(9,19):
	sh.cell(x,4,list(b.values())[x-9])

sh.cell(8,2,b[' Preliminary idea ⻅'])


### Surgery 
sh.cell(19,2,c[' Preliminary comments '])
for x in range(20,26):
	sh.cell(x,4,list(c.values())[x-20])


### Department of gynaecology 
sh.cell(26,2,d[' Preliminary comments '])

for x in range(27,34):
	sh.cell(x,4,list(d.values())[x-27])

### Ophthalmology Department 
sh.cell(34,2,e[' Preliminary comments '])	
for x in range(35,41):
	sh.cell(x,4,list(e.values())[x-35])

## E.N.T. Department 
sh.cell(41,2,f[' Preliminary comments '])	
for x in range(42,50):
	sh.cell(x,4,list(f.values())[x-42])


## routine blood test 
sh.cell(50,2,g[' Summary '])	
for x in range(51,74):
	sh.cell(x,4,list(g.values())[x-51])


## Urine routine 
sh.cell(74,2,h[' Summary '])	
for x in range(75,90):
	sh.cell(x,4,list(h.values())[x-75])

sh.cell(91,4,h[' Urinary microalbumin quantitation '])
sh.cell(93,4,h[' carbon 14- Urea breath test '])

### Gynecological examination items 
sh.cell(94,2,i[' Summary '])	
for x in range(94,98):
	sh.cell(x,4,list(i.values())[x-94])

### Laboratory examination 

for x in range(98,97+len(j)):
	sh.cell(x,4,list(j.values())[x-98])

sh.cell(98,2,j[' Summary '])	

### electrocardiogram 
sh.cell(219,2,k[' Preliminary comments '])	
sh.cell(219,4,k[' electrocardiogram '])

### Ultrasonic room examination 
sh.cell(221,2,l[' Summary '])	
for x in range(221,233):
	sh.cell(x,3,list(l.keys())[x-221])
for x in range(221,233):
	sh.cell(x,4,list(l.values())[x-221])

###CT
sh.cell(233,2,m[' Preliminary comments '])
sh.cell(233,4,m[' Head '])
sh.cell(234,4,m[' chest '])

### bone density 
sh.cell(235,2,n[' Preliminary comments '])
sh.cell(235,4,n[' bone density '])

### Arteriosclerosis test room 
sh.cell(236,2,o[' Preliminary comments '])
sh.cell(236,4,o[' Arteriosclerosis test '])
sh.cell(237,4,o[' Transcranial Doppler '])

### teeth 
for x in range(238,248):
	sh.cell(x,4,list(q.values())[x-238])

### Bone mineral density test results 
for x in range(248,254):
	sh.cell(x,4,list(r.values())[x-248])


# ### Hepatitis B test report 
sh.cell(254,2,p[' Summary '])
for x in range(254,259):
	sh.cell(x,4,list(p.values())[x-254])

wb.save(" Aikang female template 2.xlsx")