本文整理汇总了Python中zappa.zappa.Zappa.invoke_lambda_function方法的典型用法代码示例。如果您正苦于以下问题：Python Zappa.invoke_lambda_function方法的具体用法？Python Zappa.invoke_lambda_function怎么用？Python Zappa.invoke_lambda_function使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类zappa.zappa.Zappa的用法示例。
在下文中一共展示了Zappa.invoke_lambda_function方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_invoke_lambda_function
# 需要导入模块: from zappa.zappa import Zappa [as 别名]
# 或者: from zappa.zappa.Zappa import invoke_lambda_function [as 别名]
def test_invoke_lambda_function(self, session):
z = Zappa(session)
z.credentials_arn = 'arn:aws:iam::724336686645:role/ZappaLambdaExecution'
function_name = 'django-helloworld-unicode'
payload = '{"event": "hello"}'
response = z.invoke_lambda_function(function_name, payload)示例2: handle
# 需要导入模块: from zappa.zappa import Zappa [as 别名]
# 或者: from zappa.zappa.Zappa import invoke_lambda_function [as 别名]
def handle(self, *args, **options):
"""
Execute the command.
"""
if not options.has_key('environment') or len(options['environment']) < 2:
print("You must call deploy with an environment name and command. \n python manage.py invoke <environment> <command>")
return
from django.conf import settings
if not 'ZAPPA_SETTINGS' in dir(settings):
print("Please define your ZAPPA_SETTINGS in your settings file before deploying.")
return
zappa_settings = settings.ZAPPA_SETTINGS
# Set your configuration
project_name = settings.BASE_DIR.split(os.sep)[-1]
api_stage = options['environment'][0]
if api_stage not in zappa_settings.keys():
print("Please make sure that the environment '" + api_stage + "' is defined in your ZAPPA_SETTINGS in your settings file before deploying.")
return
lambda_name = project_name + '-' + api_stage
# Make your Zappa object
zappa = Zappa()
# Invoke it!
command = {"command": ' '.join(options['environment'][1:])}
response = zappa.invoke_lambda_function(lambda_name, json.dumps(command), invocation_type='RequestResponse')
if response.has_key('LogResult'):
print(base64.b64decode(response['LogResult']))
else:
print(response)
import pdb
pdb.set_trace()
return