这是我的代码:
import boto3
import json
client = boto3.client('elasticbeanstalk')
code_pipeline = boto3.client('codepipeline')
def put_job_success(job, message):
print "Putting job success"
print (message)
code_pipeline.put_job_success_result(jobId=job)
def put_job_failure(job, message):
print('Putting job failure')
print(message)
code_pipeline.put_job_failure_result(jobId=job, failureDetails={'message': message, 'type': 'JobFailed'})
def get_user_params(job_data):
user_parameters = job_data['actionConfiguration']['configuration']['UserParameters']
decoded_parameters = json.loads(user_parameters)
print user_parameters
def lambda_handler(event, context):
try:
# Extract the Job ID
job_id = event['CodePipeline.job']['id']
# Extract the Job Data
job_data = event['CodePipeline.job']['data']
# Extract the params
params = get_user_params(job_data)
# Get the list of artifacts passed to the function
artifacts = job_data['inputArtifacts']
put_job_success(job_id, 'successfuly done')
except Exception as e:
# If any other exceptions which we didn't expect are raised
# then fail the job and log the exception message.
print('Function failed due to exception.')
print(e)
put_job_failure(job_id, 'Function exception: ' + str(e))
print('Function complete.')
return "Complete."
获取错误:
traceback (most recent call last):
File "/var/task/lambda_function.py", line 48, in lambda_handler
put_job_failure(job_id, 'Function exception: ' + str(e))
UnboundLocalError: local variable 'job_id' referenced before assignment
请帮忙!
答案 0 :(得分:5)
一旦点击try
块,except
块中的任何内容都无法保证运行。这包括job_id
作业。如果您想摆脱错误,可以尝试:
def lambda_handler(event, context):
job_id = None
try:
# Extract the Job ID
job_id = event['CodePipeline.job']['id']
# Extract the Job Data
job_data = event['CodePipeline.job']['data']
# Extract the params
params = get_user_params(job_data)
# Get the list of artifacts passed to the function
artifacts = job_data['inputArtifacts']
put_job_success(job_id, 'successfuly done')
except Exception as e:
# If any other exceptions which we didn't expect are raised
# then fail the job and log the exception message.
print('Function failed due to exception.')
print(e)
put_job_failure(job_id, 'Function exception: ' + str(e))