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Feature/pkgsplit (#83)
* Starting to spawn base package * More package hacking * Bedrock and VertexAI * Parquet split * Updated templates * Utils
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262 changed files with 630 additions and 420 deletions
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trustgraph-flow/trustgraph/decoding/__init__.py
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trustgraph-flow/trustgraph/decoding/__init__.py
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trustgraph-flow/trustgraph/decoding/pdf/__init__.py
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trustgraph-flow/trustgraph/decoding/pdf/__init__.py
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from . pdf_decoder import *
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trustgraph-flow/trustgraph/decoding/pdf/__main__.py
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trustgraph-flow/trustgraph/decoding/pdf/__main__.py
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#!/usr/bin/env python3
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from . pdf_decoder import run
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if __name__ == '__main__':
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run()
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trustgraph-flow/trustgraph/decoding/pdf/pdf_decoder.py
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trustgraph-flow/trustgraph/decoding/pdf/pdf_decoder.py
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"""
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Simple decoder, accepts PDF documents on input, outputs pages from the
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PDF document as text as separate output objects.
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"""
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import tempfile
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import base64
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from langchain_community.document_loaders import PyPDFLoader
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from ... schema import Document, TextDocument, Source
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from ... schema import document_ingest_queue, text_ingest_queue
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from ... log_level import LogLevel
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from ... base import ConsumerProducer
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module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = document_ingest_queue
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default_output_queue = text_ingest_queue
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default_subscriber = module
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class Processor(ConsumerProducer):
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def __init__(self, **params):
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input_queue = params.get("input_queue", default_input_queue)
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output_queue = params.get("output_queue", default_output_queue)
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subscriber = params.get("subscriber", default_subscriber)
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super(Processor, self).__init__(
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**params | {
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"input_queue": input_queue,
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"output_queue": output_queue,
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"subscriber": subscriber,
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"input_schema": Document,
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"output_schema": TextDocument,
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}
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)
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print("PDF inited")
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def handle(self, msg):
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print("PDF message received")
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v = msg.value()
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print(f"Decoding {v.source.id}...", flush=True)
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with tempfile.NamedTemporaryFile(delete_on_close=False) as fp:
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fp.write(base64.b64decode(v.data))
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fp.close()
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with open(fp.name, mode='rb') as f:
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loader = PyPDFLoader(fp.name)
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pages = loader.load()
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for ix, page in enumerate(pages):
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id = v.source.id + "-p" + str(ix)
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r = TextDocument(
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source=Source(
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source=v.source.source,
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title=v.source.title,
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id=id,
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),
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text=page.page_content.encode("utf-8"),
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)
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self.send(r)
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print("Done.", flush=True)
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@staticmethod
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def add_args(parser):
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ConsumerProducer.add_args(
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parser, default_input_queue, default_subscriber,
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default_output_queue,
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)
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def run():
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Processor.start(module, __doc__)
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