diff --git a/.github/workflows/image.yml b/.github/workflows/image.yml index 0906f09..9c01a67 100644 --- a/.github/workflows/image.yml +++ b/.github/workflows/image.yml @@ -8,6 +8,7 @@ on: branches: - main - dev + - feat/vlm workflow_dispatch: jobs: diff --git a/Dockerfile b/Dockerfile index c779dd6..6aea18c 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,6 +1,6 @@ ARG POETRY_VERSION=1.6.1 -FROM nvidia/cuda:12.8.1-devel-ubuntu24.04 +FROM vllm/vllm-openai:v0.10.1.1 # Allow statements and log messages to immediately appear in the logs ENV PYTHONUNBUFFERED True @@ -9,7 +9,10 @@ RUN apt-get update && apt-get install -y tzdata # ENV TZ Asia/Tokyo RUN apt-get update && \ - apt-get install --yes --no-install-recommends curl g++ libopencv-dev python3 python3-pip python3-dev && \ + apt-get install --yes --no-install-recommends curl g++ libopencv-dev python3 python3-pip python3-dev fonts-noto-core \ + fonts-noto-cjk \ + fontconfig \ + libgl1 && \ rm -rf /var/lib/apt/lists/* @@ -39,7 +42,7 @@ ENV PATH="$APP_HOME/.venv/bin:$PATH" COPY . ./ -RUN /bin/bash -c "mineru-models-download -s huggingface -m pipeline" +RUN /bin/bash -c "mineru-models-download -s huggingface -m all" # Set the entry point to activate the virtual environment and run the command line tool ENTRYPOINT ["/bin/bash", "-c", "export MINERU_MODEL_SOURCE=local && python3 -m app.serverless"] diff --git a/app/serverless.py b/app/serverless.py index 6eadf0f..0133ce4 100644 --- a/app/serverless.py +++ b/app/serverless.py @@ -1,25 +1,51 @@ import base64 import os import time -import asyncio import tempfile import copy import io +import asyncio import runpod -# New mineru imports -from mineru.data.data_reader_writer import FileBasedDataWriter -from mineru.utils.enum_class import MakeMode -from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze -from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make -from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json from pypdf import PdfReader, PdfWriter +# # Ensure MinerU custom HF classes are available and optionally pre-initialize sglang engine +# try: +# # Importing registers custom model types and/or enables custom code for AutoConfig +# from mineru.backend.vlm.hf_predictor import HuggingfacePredictor # noqa: F401 +# except Exception: +# pass +# try: +# from mineru.backend.vlm.predictor import get_predictor # noqa: F401 +# except Exception: +# pass + +def _maybe_init_engine_in_main() -> None: + """Initialize VLM engine in the main process if requested via env. + + Per MinerU guidance, sglang-engine must be initialized in the main process. + This avoids scheduler failures when workers spawn without prior initialization. + """ + backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower() + from mineru.backend.vlm.vlm_analyze import ModelSingleton + + + try: + + if backend_env == "vlm-vllm-async-engine": + ModelSingleton().get_model("vllm-async-engine", None, None) + except Exception: + # Defer detailed errors to runtime path to avoid import-time crashes + pass + +_maybe_init_engine_in_main() + class TimeoutError(Exception): pass + def _trim_pdf_to_max_pages(pdf_bytes: bytes, max_pages: int) -> bytes: """Return a new PDF bytes object with at most the first max_pages pages.""" if max_pages is None or max_pages <= 0: @@ -39,8 +65,14 @@ def _trim_pdf_to_max_pages(pdf_bytes: bytes, max_pages: int) -> bytes: def convert_to_markdown(pdf_bytes, lang="en", parse_method="auto", formula_enable=True, table_enable=True, max_pages=None): """Convert PDF bytes to markdown - returns only the markdown string""" - try: + # Lazy imports to avoid import-time signal handling in non-main threads + from mineru.data.data_reader_writer import FileBasedDataWriter + from mineru.utils.enum_class import MakeMode + from mineru.backend.pipeline.pipeline_analyze import doc_analyze as pipeline_doc_analyze + from mineru.backend.pipeline.pipeline_middle_json_mkcontent import union_make as pipeline_union_make + from mineru.backend.pipeline.model_json_to_middle_json import result_to_middle_json as pipeline_result_to_middle_json + # Optionally limit to first N pages if max_pages is not None: try: @@ -51,58 +83,143 @@ def convert_to_markdown(pdf_bytes, lang="en", parse_method="auto", formula_enabl # Analyze the PDF infer_results, all_image_lists, all_pdf_docs, lang_list_result, ocr_enabled_list = pipeline_doc_analyze( - [pdf_bytes], - [lang], - parse_method=parse_method, - formula_enable=formula_enable, - table_enable=table_enable + [pdf_bytes], [lang], parse_method=parse_method, formula_enable=formula_enable, table_enable=table_enable ) - - # Process results + model_list = infer_results[0] images_list = all_image_lists[0] pdf_doc = all_pdf_docs[0] _lang = lang_list_result[0] _ocr_enable = ocr_enabled_list[0] - - # Create temporary image directory for any image processing + with tempfile.TemporaryDirectory() as temp_dir: image_writer = FileBasedDataWriter(temp_dir) - - # Convert to middle JSON format middle_json = pipeline_result_to_middle_json( - model_list, images_list, pdf_doc, image_writer, - _lang, _ocr_enable, formula_enable + model_list, images_list, pdf_doc, image_writer, _lang, _ocr_enable, formula_enable ) - - # Generate and return markdown pdf_info = middle_json["pdf_info"] return pipeline_union_make(pdf_info, MakeMode.MM_MD, "images") - except Exception as e: raise Exception(f"Error converting PDF to markdown: {str(e)}") -async def async_convert_to_markdown(pdf_bytes, timeout_seconds=None, **kwargs): - """Async wrapper with timeout support""" - loop = asyncio.get_running_loop() - - if timeout_seconds and timeout_seconds > 0: + +def convert_to_markdown_vlm(pdf_bytes, backend="vlm-sglang-engine", server_url=None): + """Convert PDF bytes to markdown using VLM backends; returns markdown string.""" + # Lazy imports to avoid import-time signal handling in non-main threads + from mineru.data.data_reader_writer import FileBasedDataWriter + from mineru.utils.enum_class import MakeMode + from mineru.backend.vlm.vlm_analyze import doc_analyze as vlm_doc_analyze + from mineru.backend.vlm.vlm_middle_json_mkcontent import union_make as vlm_union_make + + normalized_backend = backend[4:] if backend.startswith("vlm-") else backend + with tempfile.TemporaryDirectory() as temp_dir: + image_writer = FileBasedDataWriter(temp_dir) + middle_json, _ = vlm_doc_analyze( + pdf_bytes, image_writer=image_writer, backend=normalized_backend, server_url=server_url + ) + pdf_info = middle_json["pdf_info"] + return vlm_union_make(pdf_info, MakeMode.MM_MD, "images") + + +async def _convert_to_markdown_via_aio( + pdf_bytes: bytes, + filename: str, + *, + lang: str = "en", + backend: str = "pipeline", + parse_method: str = "auto", + formula_enable: bool = True, + table_enable: bool = True, + server_url: str | None = None, + max_pages: int | None = None, +) -> str: + """Use MinerU's aio_do_parse to produce markdown and return its content.""" + # Lazy import to keep module import light + from mineru.cli.common import aio_do_parse + + # Map max_pages to end_page_id semantics (inclusive end index) + start_page_id = 0 + end_page_id = None + if max_pages is not None: try: - return await asyncio.wait_for( - loop.run_in_executor(None, lambda: convert_to_markdown(pdf_bytes, **kwargs)), - timeout=timeout_seconds - ) - except asyncio.TimeoutError: - raise TimeoutError(f"PDF processing timed out after {timeout_seconds} seconds") - else: - return await loop.run_in_executor(None, lambda: convert_to_markdown(pdf_bytes, **kwargs)) + max_pages_int = int(max_pages) + if max_pages_int > 0: + end_page_id = max_pages_int - 1 + except Exception: + raise Exception("Invalid max_pages value; must be an integer") + + with tempfile.TemporaryDirectory() as output_dir: + await aio_do_parse( + output_dir=output_dir, + pdf_file_names=[filename], + pdf_bytes_list=[pdf_bytes], + p_lang_list=[lang], + backend=backend, + parse_method=parse_method, + formula_enable=formula_enable, + table_enable=table_enable, + server_url=server_url, + f_draw_layout_bbox=False, + f_draw_span_bbox=False, + f_dump_md=True, + f_dump_middle_json=False, + f_dump_model_output=False, + f_dump_orig_pdf=False, + f_dump_content_list=False, + start_page_id=start_page_id, + end_page_id=end_page_id, + ) + + # Locate markdown file + parse_subdir = parse_method if backend.startswith("pipeline") else "vlm" + parse_dir = os.path.join(output_dir, filename, parse_subdir) + md_path = os.path.join(parse_dir, f"{filename}.md") + if not os.path.exists(md_path): + raise Exception("Markdown output not found after parsing") + with open(md_path, "r", encoding="utf-8") as f: + return f.read() + + +async def convert_to_markdown_dispatch(pdf_bytes, filename=None, **kwargs): + """Dispatch to pipeline or VLM engine based on env MINERU_BACKEND. + + Prefer using aio_do_parse to match official MinerU entrypoints. + """ + backend_env = os.getenv("MINERU_BACKEND", "pipeline").lower() + server_url = os.getenv("MINERU_VLM_SERVER_URL") or os.getenv("MINERU_SGLANG_SERVER_URL") + lang = kwargs.get("lang", "en") + parse_method = kwargs.get("parse_method", "auto") + formula_enable = kwargs.get("formula_enable", True) + table_enable = kwargs.get("table_enable", True) + max_pages = kwargs.get("max_pages") + + if filename is None: + filename = "document" + + # Use aio_do_parse path for both pipeline and vlm backends + if backend_env.startswith("vlm"): + parse_method = "vlm" + backend_for_aio = backend_env + return await _convert_to_markdown_via_aio( + pdf_bytes, + filename, + lang=lang, + backend=backend_for_aio, + parse_method=parse_method, + formula_enable=formula_enable, + table_enable=table_enable, + server_url=server_url, + max_pages=max_pages, + ) + + async def handler(event): - """Main serverless handler - returns only markdown""" try: input_data = event.get("input", {}) base64_content = input_data.get("file_content") filename = input_data.get("filename") + timeout = input_data.get("timeout") created_at = input_data.get("created_at") max_pages = input_data.get("max_pages") @@ -113,19 +230,6 @@ async def handler(event): formula_enable = input_data.get("formula_enable", True) table_enable = input_data.get("table_enable", True) - # Calculate remaining timeout - timeout_seconds = None - if timeout: - timeout_seconds = int(timeout) / 1000 - if created_at: - elapsed = time.time() - (created_at / 1000) - if elapsed >= timeout_seconds: - return {"error": "Request timed out before processing", "status": "TIMEOUT"} - timeout_seconds = max(0, timeout_seconds - elapsed) - if timeout_seconds < 1: - return {"error": "Insufficient time remaining", "status": "TIMEOUT"} - - # Validate input if not base64_content or not filename: return {"error": "Missing file_content or filename", "status": "ERROR"} @@ -143,10 +247,10 @@ async def handler(event): # Process PDF pdf_bytes = base64.b64decode(base64_content) - - md_content = await async_convert_to_markdown( + + md_content = await convert_to_markdown_dispatch( pdf_bytes=pdf_bytes, - timeout_seconds=timeout_seconds, + filename=os.path.splitext(os.path.basename(filename))[0] if filename else "document", lang=lang, parse_method=parse_method, formula_enable=formula_enable, @@ -155,11 +259,10 @@ async def handler(event): ) return {"markdown": md_content, "status": "SUCCESS"} - - except TimeoutError as e: - return {"error": str(e), "status": "TIMEOUT"} except Exception as e: return {"error": str(e), "status": "ERROR"} -print("Starting RunPod serverless handler...") -runpod.serverless.start({"handler": handler}) \ No newline at end of file + +if __name__ == "__main__": + print("Starting RunPod serverless handler...") + runpod.serverless.start({"handler": handler}) \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index edc812a..fed4dbb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,37 @@ -# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand. + +[[package]] +name = "accelerate" +version = "1.10.1" +description = "Accelerate" +optional = false +python-versions = ">=3.9.0" +groups = ["main"] +files = [ + {file = "accelerate-1.10.1-py3-none-any.whl", hash = "sha256:3621cff60b9a27ce798857ece05e2b9f56fcc71631cfb31ccf71f0359c311f11"}, + {file = "accelerate-1.10.1.tar.gz", hash = "sha256:3dea89e433420e4bfac0369cae7e36dcd6a56adfcfd38cdda145c6225eab5df8"}, +] + +[package.dependencies] +huggingface_hub = ">=0.21.0" +numpy = ">=1.17,<3.0.0" +packaging = ">=20.0" +psutil = "*" +pyyaml = "*" +safetensors = ">=0.4.3" +torch = ">=2.0.0" + +[package.extras] +deepspeed = ["deepspeed"] +dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", 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"transformers"] [[package]] name = "aiodns" @@ -15,6 +48,18 @@ files = [ [package.dependencies] pycares = ">=4.9.0" +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + [[package]] name = "aiohappyeyeballs" version = "2.6.1" @@ -258,6 +303,18 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and 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