Added module which does OCR for PDF, pdf-ocr in a separate package (#324)

(has a lot of dependencies).  Uses Tesseract.
This commit is contained in:
cybermaggedon 2025-03-20 09:29:40 +00:00 committed by GitHub
parent cbfe37fec7
commit c759d55734
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
9 changed files with 208 additions and 0 deletions

1
trustgraph-ocr/README.md Normal file
View file

@ -0,0 +1 @@
See https://trustgraph.ai/

6
trustgraph-ocr/scripts/pdf-ocr Executable file
View file

@ -0,0 +1,6 @@
#!/usr/bin/env python3
from trustgraph.decoding.ocr import run
run()

47
trustgraph-ocr/setup.py Normal file
View file

@ -0,0 +1,47 @@
import setuptools
import os
import importlib
with open("README.md", "r") as fh:
long_description = fh.read()
# Load a version number module
spec = importlib.util.spec_from_file_location(
'version', 'trustgraph/ocr_version.py'
)
version_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(version_module)
version = version_module.__version__
setuptools.setup(
name="trustgraph-ocr",
version=version,
author="trustgraph.ai",
author_email="security@trustgraph.ai",
description="TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/trustgraph-ai/trustgraph",
packages=setuptools.find_namespace_packages(
where='./',
),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
"Operating System :: OS Independent",
],
python_requires='>=3.8',
download_url = "https://github.com/trustgraph-ai/trustgraph/archive/refs/tags/v" + version + ".tar.gz",
install_requires=[
"trustgraph-base>=0.21,<0.22",
"pulsar-client",
"prometheus-client",
"boto3",
"pdf2image",
"pytesseract",
],
scripts=[
"scripts/pdf-ocr",
]
)

View file

@ -0,0 +1,3 @@
from . pdf_decoder import *

View file

@ -0,0 +1,7 @@
#!/usr/bin/env python3
from . pdf_decoder import run
if __name__ == '__main__':
run()

View file

@ -0,0 +1,83 @@
"""
Simple decoder, accepts PDF documents on input, outputs pages from the
PDF document as text as separate output objects.
"""
import tempfile
import base64
import pytesseract
from pdf2image import convert_from_bytes
from ... schema import Document, TextDocument, Metadata
from ... schema import document_ingest_queue, text_ingest_queue
from ... log_level import LogLevel
from ... base import ConsumerProducer
module = ".".join(__name__.split(".")[1:-1])
default_input_queue = document_ingest_queue
default_output_queue = text_ingest_queue
default_subscriber = module
class Processor(ConsumerProducer):
def __init__(self, **params):
input_queue = params.get("input_queue", default_input_queue)
output_queue = params.get("output_queue", default_output_queue)
subscriber = params.get("subscriber", default_subscriber)
super(Processor, self).__init__(
**params | {
"input_queue": input_queue,
"output_queue": output_queue,
"subscriber": subscriber,
"input_schema": Document,
"output_schema": TextDocument,
}
)
print("PDF OCR inited")
async def handle(self, msg):
print("PDF message received")
v = msg.value()
print(f"Decoding {v.metadata.id}...", flush=True)
blob = base64.b64decode(v.data)
pages = convert_from_bytes(blob)
for ix, page in enumerate(pages):
try:
text = pytesseract.image_to_string(page, lang='eng')
except Exception as e:
print(f"Page did not OCR: {e}")
continue
r = TextDocument(
metadata=v.metadata,
text=text.encode("utf-8"),
)
await self.send(r)
print("Done.", flush=True)
@staticmethod
def add_args(parser):
ConsumerProducer.add_args(
parser, default_input_queue, default_subscriber,
default_output_queue,
)
def run():
Processor.launch(module, __doc__)