efsync 0.1.3

A CLI which automatically uploads pip packages and directories to aws efs to be used in aws lambda

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[](https://colab.research.google.com/drive/1G4LTw7aW5CBlFHVeiR12r5_49Z_CcEIo?usp=sharing ]

colab with example

Documentation

• Quick Start
• Examples
• SDK
• CLI

Quick Start

Example in Google Colab. [](https://colab.research.google.com/drive/1G4LTw7aW5CBlFHVeiR12r5_49Z_CcEIo?usp=sharing ]

1. Install via pip3

pip3 install efsync

2. sync your pip packages or files to AWS EFS

efsync -cf efsync.yaml

Examples

CLI Example with efsync.yaml

sync your pip packages or files to AWS EFS

efsync -cf efsync.yaml

CLI Example with parameter

sync your pip packages or files to AWS EFS

efsync -r requirements.txt -py 3.8 -epd lib -fd tmp -ap schueler -ar eu-central-1 -sbd <subnet_id> -ekn <ec2-key-name>

SDK Example with efsync.yaml

create an configuration file efsync.yaml

# lambda ci python version for pip installation
python_version: 3.8
# pip directory
efs_pip_dir: lib
# extra directory for file upload like ML models
file_dir: dir
# requirements file
requirements: requirements.txt
# aws profile configuration
aws_profile: efsync
aws_region: eu-central-1

#aws vpc and ec2 shit
subnet_Id: subnet-xxx
ec2_key_name: efsync-asd913fjgq3

2. sync your pip packages or files to AWS EFS

from efsync import efsync

efsync('efsync.yaml')

CLI

cli_short	cli_long	default	description
-h	--help	-	displays all commands
-r	--requirements	requirements.txt	path of your requirements.txt
-cf	--config_file	-	path of your efsync.yaml
-py	--python_version	3.8	Python version used to install dependencies
-epd	--efs_pip_dir	lib	directory where the pip packages will be installed on efs
-fd	--file_dir	tmp	directory where all other files will be placed
-ap	--aws_profile	efsync	name of the used AWS profile
-ar	--aws_region	eu-central-1	aws region where the efs is running
-sbd	--subnet_Id	-	subnet id of the efs
-ekn	--ec2_key_name	-	temporary key name for the ec2 instance