Oleksandr nanvel

References:

https://github.com/tesseract-ocr/tesseract/wiki/Compiling

http://stackoverflow.com/questions/33588262/tesseract-ocr-on-aws-lambda-via-virtualenv

https://github.com/sirfz/tesserocr

Instructions for running Tesseract OCR on AWS Lambda with Python

AWS Lambda allows you to run custom binaries as child processes.

However, if the packaged binary you're running on AWS Lambda uses shared libraries, they may not be available in the Lambda environment. If this is the case, your binary will terminate without any output. In my case, the exit status code was 127, which wasn't very helpful (typically this is "command not found.")

2015-11-18T00:50:10.731Z	521db901-8d8e-11e5-b9df-cd31cc90ece2	Calling phantom:  /var/task/phantomjs [ '/var/task/phantomjs-script.js' ]
2015-11-18T00:50:10.809Z	521db901-8d8e-11e5-b9df-cd31cc90ece2	child process exited with code 127

Linux's loader, ld.so, allows you (see manpage) to set an environment variable called LD_DEBUG that will output verbose information while the shared libraries are loaded.

Since Lambda doesn't let you set arbitrary environment variables, you need to set the environment

	from threading import Lock

	from botocore.endpoint import Endpoint
	import botocore.session
	import treq


	__all__ = ('AWSClient',)

	import binascii
	import hashlib
	import os


	# Max size in bytes before uploading in parts
	AWS_UPLOAD_MAX_SIZE = 20 * 1024 * 1024
	# Size of parts when uploading in parts
	# make sure you use upload part size the same as your client
	# be careful, botocore put_object can't do multipart:

	import asyncio
	import hashlib
	import hmac
	import time
	from urllib.parse import urljoin, urlencode

	import aiohttp
	import async_timeout

	import hmac
	import json
	from hashlib import sha1

	from django.views.decorators.csrf import csrf_exempt


	@csrf_exempt
	def pull_view(request):
	"""