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我正在編寫一個程序，它解析.txt文件並獲取用戶定義輸入的鍵/值對。我的代碼的邏輯非常簡單。它抓取程序應搜索的字符串列表，並將字符串列表存儲在適當的變量中。我寫了一個函數field_extract來完成鍵/值對。Python增量調試問題
我的調試問題是「currentJob = job_start.index（jobStart）+ 1」。從邏輯上講應該可以正常工作，但由於某種原因，它不會。
下面的代碼
n2600RA1 = []
n2600RA2 = []
n2600RA3 = []
n2600RA4 = []
n2600RA5 = []
n2601CV4 = []
n2601IV4 = []
(etc)....
job_start = []
job_end = []
names = []
name = None
pk = []
for row in rows:
name = row[1]
fields = row[4].split(',')
start = row[2]
end = row[3]
prim = row[0]
if name == 'JOB - N2600RA1':
n2600RA1.extend(fields)
job_start.append(start)
job_end.append(end)
pk.append(prim)
names.append(name)
elif name == 'JOB - N2600RA2':
n2600RA2.extend(fields)
job_start.append(start)
job_end.append(end)
pk.append(prim)
names.append(name)
(etc)...
"""
DATABASE CONNECTION ENDED
"""
outFileName = "out3.txt"
# The regex pattern that is used to extract timestamp from file
# it will search for timestamps like this 2017-06-13-22.31.30.978293
dateRegEx = r"[0-9]{4}-[0-9]{2}-[0-9]{2}-[0-9]{2}\.[0-9]{2}\.[0-9]{2}\.[0-9]+"
# Compile the pattern
regExPtrn = re.compile(dateRegEx)
# Extract the current job fields
def field_Extract(fileLines, fieldsArray, delimit):
# Empty string in which we will append the
# extracted fields
matchStr = ""
for line in fileLines:
for field in fieldsArray:
if line.startswith(field):
key, value = line.split(delimit)
matchStr += key.strip() + "\t\t : " + value.strip() + "\n"
# Return the string hold the extracted fields
# Each field is onn a separate line
return matchStr
# Open input and output files
test_file = open(r'C:\Users\cqt7wny\Desktop\SAVERS_REPT_DT0712.txt', 'r+')
outFile = open(outFileName, 'w')
# Initialize used variables
currentJob = -1
currentJobData = []
startAppending = False
outFileStr = ""
for line in test_file:
# Get the current job
# We will loop over each job start and check if this start is
# contained in the current line, if so, this line will be considered
# the first line of the job
for jobStart in job_start:
if jobStart in line:
# the used search function return the index of the first
# match of the string. If the substring has more than one
# occurance in the searchable string, only the index of
# the first occurance will be returned
currentJob = job_start.index(jobStart) + 1
# Set the flag to start gathering job lines
# for each job we will apped alll its lines to an empty
# list, so we have all job lines separated
startAppending = True
# If job start found, gathar job lines
if startAppending == True:
currentJobData.append(line)
# Set the correct job
if currentJob == 1:
job = n2600RA1
elif currentJob == 2:
job = n2600RA2
elif currentJob == 3:
job = n2600RA3
elif currentJob == 4:
job = n2600RA4
elif currentJob == 5:
job = n2600RA5
elif currentJob == 6:
job = n2601CV4
elif currentJob == 7:
job = n2601IV4
elif currentJob == 8:
job = n2601CV1
#elif currentJob == 9:
# job = aTL10GV1
elif currentJob == 9:
job = n2601CW3
else:
currentJob = -1
# Check job end
# We will loop over each job end and check if this end is
# contained in the current line, if so, this line will be considered
# the last line of the job
for jobEnd in job_end:
# Check that this is a valid job and that the job ending
# string is contained in the current line
if (currentJob != -1) and (jobEnd in line):
print(currentJob)
# As a job end found, stop gathering lines
startAppending = False
# Get the time stamp
# We search for it in the currnet line using the previously
# compiled regex pattern
txt = "".join(currentJobData)
# Find all occurance of timestamps on the current job lines
#timeStamp = regExPtrn.findall(txt)
# Check that a timestamp found
#if len(timeStamp) >= 1:
# If there is more than one timestamp in the current
# job lines, get only the first one
#timeStamp = timeStamp[0]
# Append the found output to the output string
outFileStr += '########============ NEW JOB STARTS HERE ===========#########'
outFileStr += "\n"
outFileStr += "job# " + str(name[currentJob])
outFileStr += "\n"
#outFileStr += "Timestamp: " + timeStamp
outFileStr += "\n"
# Extract job fields values
outFileStr += field_Extract(currentJobData, job, ':')
# Erase completed job lines to be used with the next job
currentJobData = []
# Set job to invalid job
currentJob = -1
# Write the output to output file
outFile.write(outFileStr)
# Close opened files
outFile.close()
test_file.close()
上currentjob下面的調試輸出。
1
1
1
1
1
1
1
1
1
1
6
8
6
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
哦，我的上帝。無處不在。我會在這裏使用一個列表字典。 – Matthias