S3PdfSplitter 1.0.8

Splitter de fichiers pdfs sur S3

S3PdfSplitter

Python aws-s3 pdf spliter

Usage

basic usage :

from PdfSplitter import Splitter

spliter = Splitter("config.json")
spliter.split(data)

exemple config.json :

{
    "aws" : {
        "access_key_id" : "aws-acces-key",
        "secret_access_key" : "aws secret",
    },
    "s3" : {
        "bucket" : "bucket"
    }
}

Note that the config is managed with ConfigEnv so you can provide an .ini file or overide the config with environement variable ( AWS_S3_BUCKET, AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY )

example data :

{
    "input" : [
        "firstFile.pdf",
        "secondFile.pdf"
    ],
    "output": [
        {
            "s3Key": "output1.pdf",
            "pages": [
                { "index": 0, "pages": [0,1] },
                { "index": 1, "pages": [0,1] }
            ]
        },{
            "s3Key": "output2.pdf",
            "pages": [
                { "index": 0, "pages": [0] },
                { "index": 1, "pages": [0] },
                { "index": 0, "pages": [1] },
                { "index": 1, "pages": [1] }
            ]
        }
    ]
}

this will produce 2 pdfs in your s3:

• the first, output1.pdf, with page 0 and 1 from firstFile and page 0 and 1 from secondFile
• the second, output2.pdf, with page 0 from firstFile, page 0 from secondFile, page 1 from firstFile and page 1 from secondFile

Developpement guide

installation

with virtualenv :

# create virtualenv
virtualenv -p python3 .venv

# activate venv
source .venv/bin/activate

# install dependancies
pip install -r requirements.txt
pip install -r requirements-dev.txt

testing

with unittest :

# if your test config is setup :
python -m unittest

# if you want to overide your test config :
S3_BUCKET=<your bucket> AWS_ACCESS_KEY_ID=<your key id> AWS_SECRET_ACCESS_KEY=<your key secret> python -m unittest