mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 00:16:23 +02:00
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:
parent
cbfe37fec7
commit
c759d55734
9 changed files with 208 additions and 0 deletions
1
trustgraph-ocr/README.md
Normal file
1
trustgraph-ocr/README.md
Normal file
|
|
@ -0,0 +1 @@
|
|||
See https://trustgraph.ai/
|
||||
6
trustgraph-ocr/scripts/pdf-ocr
Executable file
6
trustgraph-ocr/scripts/pdf-ocr
Executable file
|
|
@ -0,0 +1,6 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
from trustgraph.decoding.ocr import run
|
||||
|
||||
run()
|
||||
|
||||
47
trustgraph-ocr/setup.py
Normal file
47
trustgraph-ocr/setup.py
Normal 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",
|
||||
]
|
||||
)
|
||||
3
trustgraph-ocr/trustgraph/decoding/ocr/__init__.py
Normal file
3
trustgraph-ocr/trustgraph/decoding/ocr/__init__.py
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
|
||||
from . pdf_decoder import *
|
||||
|
||||
7
trustgraph-ocr/trustgraph/decoding/ocr/__main__.py
Executable file
7
trustgraph-ocr/trustgraph/decoding/ocr/__main__.py
Executable file
|
|
@ -0,0 +1,7 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
from . pdf_decoder import run
|
||||
|
||||
if __name__ == '__main__':
|
||||
run()
|
||||
|
||||
83
trustgraph-ocr/trustgraph/decoding/ocr/pdf_decoder.py
Executable file
83
trustgraph-ocr/trustgraph/decoding/ocr/pdf_decoder.py
Executable 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__)
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue