LIB Dazzl Lambda Tools | 
Library python for simplify to create lambda function (AWS lambda) and Dazzl API service.
The authentication is automatically executed and use a environment variable.
How to use
# Import
import dazzl_aws_lambda_tools as aws_lambda
# Initialize
# It's a bucket event
dz = aws_lambda.Tools(record)
# Send a request to backend
path = '/super/path/with/id/and/another/data'
body = { 'foo' 'bar' }
dz.send('POST', path, body)
# Get name to bucket
dz.bucket_name()
# Get key to bucket
dz.bucket_key()Logger and environments
The logger has different level :
- development has level
DEBUG, - staging has level
INFO, - production has level
ERROR
if you want customize log level use variable environment LOG_LEVEL
For more information see : Logging Levels
Variables environments
| Name | Value example | Required |
|---|---|---|
LOG_LEVEL |
info | false |
URL_API__<env> |
https://dazzl.tv |
true if you want send request |
USERNAME_<env> |
roger@dazzl.tv |
true if you want send request |
PASSWORD_<env> |
hidden_password |
true if you want send request |
<env> is a environment type :
- development :
DEVE - staging :
STAG - production :
PROD
Convention bucket name
The bucket name exist for three environment :
| Environment | Example bucket name |
|---|---|
| development | suffix.name.development |
| staging | suffix.name.staging |
| production | suffix.name |
Script test
clear; python3 -m memory_profiler ./tests/requests.py ; python3 -m memory_profiler ./tests/simple.py
