mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-07-21 19:21:03 +02:00
82 lines
2.1 KiB
Python
Executable file
82 lines
2.1 KiB
Python
Executable file
|
|
"""
|
|
Simple decoder, accepts PDF documents on input, outputs pages from the
|
|
PDF document as text as separate output objects.
|
|
"""
|
|
|
|
import tempfile
|
|
import base64
|
|
from langchain_community.document_loaders import PyPDFLoader
|
|
|
|
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 inited")
|
|
|
|
async def handle(self, msg):
|
|
|
|
print("PDF message received")
|
|
|
|
v = msg.value()
|
|
|
|
print(f"Decoding {v.metadata.id}...", flush=True)
|
|
|
|
with tempfile.NamedTemporaryFile(delete_on_close=False) as fp:
|
|
|
|
fp.write(base64.b64decode(v.data))
|
|
fp.close()
|
|
|
|
with open(fp.name, mode='rb') as f:
|
|
|
|
loader = PyPDFLoader(fp.name)
|
|
pages = loader.load()
|
|
|
|
for ix, page in enumerate(pages):
|
|
|
|
r = TextDocument(
|
|
metadata=v.metadata,
|
|
text=page.page_content.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__)
|
|
|