From 27cff4a8a3dd7967de47b14e8ea1edcb3e3fbdec Mon Sep 17 00:00:00 2001 From: DylanAlloy Date: Sun, 10 Mar 2024 09:50:01 -0400 Subject: [PATCH 1/2] =?UTF-8?q?=F0=9F=92=8E=20feat(release):=20Dockerfile?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Dockerfile | 44 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..87ea2e04 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,44 @@ +# Use an official Python 3.9+ image as a parent image, based on Debian for compatibility with your instructions +FROM python:3.9-slim + +# Set the working directory in the container +WORKDIR /usr/src/app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + git \ + # Add system requirements for tesseract and ghostscript here as needed + # Assume scripts/install/*.sh are modified to be non-interactive and do not require sudo + && rm -rf /var/lib/apt/lists/* + +# Clone the repo +RUN git clone https://github.com/VikParuchuri/marker.git . \ + && scripts/install/tesseract_5_install.sh \ + && scripts/install/ghostscript_install.sh \ + && cat scripts/install/apt-requirements.txt | xargs apt-get install -y + +# Install Poetry +RUN pip install poetry + +# Install Python dependencies via Poetry +RUN poetry install + +# Set up environment variables +# Replace these with your actual paths or configuration +ENV TESSDATA_PREFIX=/usr/local/share/tessdata +ENV TORCH_DEVICE=cpu +# For GPU setup, adjust the TORCH_DEVICE accordingly, e.g., cuda or mps +# And ensure INFERENCE_RAM is set based on your GPU's VRAM +# ENV INFERENCE_RAM=16 +# Additional environment variables can be set here or passed at runtime + +# Copy everything else into the container +COPY . . + +# Update pytorch - adjust for GPU or CPU +# CPU only example, uncomment and adjust as necessary +# RUN poetry run pip uninstall -y torch && poetry run pip install torch=={desired_version} + +# The command to run when the container starts +# This CMD line is a placeholder; adjust it based on how you want to use the container +CMD ["poetry", "run", "python", "convert_single.py", "/path/to/file.pdf", "/path/to/output.md", "--parallel_factor", "2", "--max_pages", "10"] From 71f3cd0a400fc0beb24dfd51e13269d81728de16 Mon Sep 17 00:00:00 2001 From: Dylan Date: Fri, 15 Mar 2024 09:39:06 -0400 Subject: [PATCH 2/2] =?UTF-8?q?=F0=9F=A7=B2=20fix(CI):=20socket=20for=20fi?= =?UTF-8?q?le=20transfer=20to=20docker=20images?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .gitignore | 1 + Dockerfile | 42 +- convert.py | 117 +- convert_single.py | 56 +- poetry.lock | 4841 ------------------------ scripts/install/ghostscript_install.sh | 4 +- scripts/install/tesseract_5_install.sh | 12 +- 7 files changed, 118 insertions(+), 4955 deletions(-) delete mode 100644 poetry.lock diff --git a/.gitignore b/.gitignore index bc1ad2aa..0caf3c01 100644 --- a/.gitignore +++ b/.gitignore @@ -5,6 +5,7 @@ experiments test_data training wandb +example.pdf # Byte-compiled / optimized / DLL files __pycache__/ diff --git a/Dockerfile b/Dockerfile index 87ea2e04..b3f6d184 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,24 +4,30 @@ FROM python:3.9-slim # Set the working directory in the container WORKDIR /usr/src/app -# Install system dependencies -RUN apt-get update && apt-get install -y \ - git \ - # Add system requirements for tesseract and ghostscript here as needed - # Assume scripts/install/*.sh are modified to be non-interactive and do not require sudo - && rm -rf /var/lib/apt/lists/* - -# Clone the repo -RUN git clone https://github.com/VikParuchuri/marker.git . \ - && scripts/install/tesseract_5_install.sh \ - && scripts/install/ghostscript_install.sh \ - && cat scripts/install/apt-requirements.txt | xargs apt-get install -y +# Copy the current directory contents into the container at /usr/src/app +COPY . . -# Install Poetry -RUN pip install poetry +# Make the scripts executable +RUN chmod +x scripts/install/tesseract_5_install.sh \ + && chmod +x scripts/install/ghostscript_install.sh + + +RUN apt-get update && apt-get install -y apt-transport-https \ + && . /etc/os-release \ + && echo "deb https://notesalexp.org/tesseract-ocr5/${VERSION_CODENAME} ${VERSION_CODENAME} main" > /etc/apt/sources.list.d/notesalexp.list \ + && apt-get update -oAcquire::AllowInsecureRepositories=true \ + && apt-get install -y notesalexp-keyring -oAcquire::AllowInsecureRepositories=true --allow-unauthenticated \ + && apt-get update \ + && apt-get install gcc python3-dev -y \ + && apt-get install -y tesseract-ocr \ + # Install additional requirements from apt-requirements.txt + && apt-get install -y $(cat scripts/install/apt-requirements.txt | xargs) \ + && rm -rf /var/lib/apt/lists/* -# Install Python dependencies via Poetry -RUN poetry install +# Install Python dependencies +RUN pip install poetry \ + && poetry config virtualenvs.create false \ + && poetry install # Set up environment variables # Replace these with your actual paths or configuration @@ -37,8 +43,8 @@ COPY . . # Update pytorch - adjust for GPU or CPU # CPU only example, uncomment and adjust as necessary -# RUN poetry run pip uninstall -y torch && poetry run pip install torch=={desired_version} +RUN poetry run pip uninstall -y torch && poetry run pip install torch # The command to run when the container starts # This CMD line is a placeholder; adjust it based on how you want to use the container -CMD ["poetry", "run", "python", "convert_single.py", "/path/to/file.pdf", "/path/to/output.md", "--parallel_factor", "2", "--max_pages", "10"] +CMD ["poetry", "run", "python", "convert_single.py", "0.0.0.0", "5000", "./", "--parallel_factor", "2", "--max_pages", "10"] diff --git a/convert.py b/convert.py index f9837440..df911c84 100755 --- a/convert.py +++ b/convert.py @@ -1,20 +1,29 @@ import argparse import os +import socket +import tempfile from typing import Dict, Optional - +import math import ray from tqdm import tqdm -import math - +import json from marker.convert import convert_single_pdf, get_length_of_text from marker.models import load_all_models from marker.settings import settings from marker.logger import configure_logging import traceback -import json configure_logging() +def receive_file_from_socket(sock, buffer_size=4096): + """Receive file data from the socket and write it to a temporary file.""" + with tempfile.NamedTemporaryFile(delete=False) as temp_file: + while True: + data = sock.recv(buffer_size) + if not data: + break # No more data, transfer is complete. + temp_file.write(data) + return temp_file.name @ray.remote(num_cpus=settings.RAY_CORES_PER_WORKER, num_gpus=.05 if settings.CUDA else 0) def process_single_pdf(fname: str, out_folder: str, model_refs, metadata: Optional[Dict] = None, min_length: Optional[int] = None): @@ -44,84 +53,38 @@ def process_single_pdf(fname: str, out_folder: str, model_refs, metadata: Option print(f"Error converting {fname}: {e}") print(traceback.format_exc()) - -def main(): - parser = argparse.ArgumentParser(description="Convert multiple pdfs to markdown.") - parser.add_argument("in_folder", help="Input folder with pdfs.") - parser.add_argument("out_folder", help="Output folder") - parser.add_argument("--chunk_idx", type=int, default=0, help="Chunk index to convert") - parser.add_argument("--num_chunks", type=int, default=1, help="Number of chunks being processed in parallel") - parser.add_argument("--max", type=int, default=None, help="Maximum number of pdfs to convert") - parser.add_argument("--workers", type=int, default=5, help="Number of worker processes to use") - parser.add_argument("--metadata_file", type=str, default=None, help="Metadata json file to use for filtering") - parser.add_argument("--min_length", type=int, default=None, help="Minimum length of pdf to convert") - - args = parser.parse_args() - - in_folder = os.path.abspath(args.in_folder) - out_folder = os.path.abspath(args.out_folder) - files = [os.path.join(in_folder, f) for f in os.listdir(in_folder)] - os.makedirs(out_folder, exist_ok=True) - - # Handle chunks if we're processing in parallel - # Ensure we get all files into a chunk - chunk_size = math.ceil(len(files) / args.num_chunks) - start_idx = args.chunk_idx * chunk_size - end_idx = start_idx + chunk_size - files_to_convert = files[start_idx:end_idx] - - # Limit files converted if needed - if args.max: - files_to_convert = files_to_convert[:args.max] - - metadata = {} - if args.metadata_file: - metadata_file = os.path.abspath(args.metadata_file) - with open(metadata_file, "r") as f: - metadata = json.load(f) - - total_processes = min(len(files_to_convert), args.workers) - - ray.init( - num_cpus=total_processes, - num_gpus=1 if settings.CUDA else 0, - storage=settings.RAY_CACHE_PATH, - _temp_dir=settings.RAY_CACHE_PATH, - log_to_driver=settings.DEBUG - ) +def start_socket_server(host, port, out_folder, workers, metadata: Optional[Dict] = None, min_length: Optional[int] = None): + server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + server_socket.bind((host, port)) + server_socket.listen(5) + print(f"Socket server listening on {host}:{port}") model_lst = load_all_models() model_refs = ray.put(model_lst) - # Dynamically set GPU allocation per task based on GPU ram - gpu_frac = settings.VRAM_PER_TASK / settings.INFERENCE_RAM if settings.CUDA else 0 - - print(f"Converting {len(files_to_convert)} pdfs in chunk {args.chunk_idx + 1}/{args.num_chunks} with {total_processes} processes, and storing in {out_folder}") - futures = [ - process_single_pdf.options(num_gpus=gpu_frac).remote( - filename, - out_folder, - model_refs, - metadata=metadata.get(os.path.basename(filename)), - min_length=args.min_length - ) for filename in files_to_convert - ] + try: + while True: + client_socket, addr = server_socket.accept() + print(f"Received connection from {addr}") - # Run all ray conversion tasks - progress_bar = tqdm(total=len(futures)) - while len(futures) > 0: - finished, futures = ray.wait( - futures, timeout=7.0 - ) - finished_lst = ray.get(finished) - if isinstance(finished_lst, list): - progress_bar.update(len(finished_lst)) - else: - progress_bar.update(1) + fname = receive_file_from_socket(client_socket) + client_socket.close() - # Shutdown ray to free resources - ray.shutdown() + # Here, immediately queue the file for processing. In a production, + # you might want to implement some form of rate limiting or queue management!! 😘 + process_single_pdf.remote( + fname, out_folder, model_refs, + metadata=metadata, min_length=min_length + ) + finally: + server_socket.close() -if __name__ == "__main__": - main() \ No newline at end of file +def main(): + parser = argparse.ArgumentParser(description="Convert received pdfs to markdown over a socket connection.") + parser.add_argument("host", help="Host to listen on") + parser.add_argument("port", type=int, help="Port to listen on") + parser.add_argument("out_folder", help="Output folder") + parser.add_argument("--workers", type=int, default=5, help="Number of worker processes to use") + parser.add_argument("--metadata_file", type=str, default=None, help="Metadata json file to use for filtering") + parser.add_argument("--min_length", type=int, default=None, help="Minimum length of pdf to convert") \ No newline at end of file diff --git a/convert_single.py b/convert_single.py index dabfd933..7e0ba4ae 100755 --- a/convert_single.py +++ b/convert_single.py @@ -1,32 +1,66 @@ import argparse - +import json +import socket +import tempfile from marker.convert import convert_single_pdf from marker.logger import configure_logging from marker.models import load_all_models -import json configure_logging() +def receive_file_from_socket(sock, buffer_size=1024): + """Receive file data from the socket and write it to a temporary file.""" + with tempfile.NamedTemporaryFile(delete=False) as temp_file: + file_name = temp_file.name + while True: + data = sock.recv(buffer_size) + if not data: + break # No more data, transfer is complete. + temp_file.write(data) + return file_name def main(): parser = argparse.ArgumentParser() - parser.add_argument("filename", help="PDF file to parse") + parser.add_argument("host", help="Host to listen on") + parser.add_argument("port", type=int, help="Port to listen on") parser.add_argument("output", help="Output file name") parser.add_argument("--max_pages", type=int, default=None, help="Maximum number of pages to parse") parser.add_argument("--parallel_factor", type=int, default=1, help="How much to multiply default parallel OCR workers and model batch sizes by.") args = parser.parse_args() - fname = args.filename - model_lst = load_all_models() - full_text, out_meta = convert_single_pdf(fname, model_lst, max_pages=args.max_pages, parallel_factor=args.parallel_factor) + # Create a TCP/IP socket + sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) + + # Bind the socket to the address given on the command line + server_address = (args.host, args.port) + sock.bind(server_address) + sock.listen(1) + + print(f"Listening for incoming connections on {args.host}:{args.port}") + + while True: + print("Waiting for a connection") + connection, client_address = sock.accept() + try: + print("Connection from", client_address) + + # Receive the file over the socket + fname = receive_file_from_socket(connection) + + # Load models and convert PDF + model_lst = load_all_models() + full_text, out_meta = convert_single_pdf(fname, model_lst, max_pages=args.max_pages, parallel_factor=args.parallel_factor) - with open(args.output, "w+", encoding='utf-8') as f: - f.write(full_text) + with open(args.output, "w+", encoding='utf-8') as f: + f.write(full_text) - 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install apt-transport-https +apt-get install apt-transport-https -y echo "deb https://notesalexp.org/tesseract-ocr5/$(lsb_release -cs)/ $(lsb_release -cs) main" \ -| sudo tee /etc/apt/sources.list.d/notesalexp.list > /dev/null -sudo apt-get update -oAcquire::AllowInsecureRepositories=true -sudo apt-get install notesalexp-keyring -oAcquire::AllowInsecureRepositories=true -sudo apt-get update -sudo apt-get install tesseract-ocr +| tee /etc/apt/sources.list.d/notesalexp.list > /dev/null +apt-get update -oAcquire::AllowInsecureRepositories=true +apt-get install notesalexp-keyring -y -oAcquire::AllowInsecureRepositories=true +apt-get update +apt-get install tesseract-ocr -y