From 400572342f562559c1290caa8d12a290eaf6c237 Mon Sep 17 00:00:00 2001 From: Jordan Frazier <122494242+jordanrfrazier@users.noreply.github.com> Date: Thu, 20 Feb 2025 11:26:03 -0800 Subject: [PATCH] feat: add nvidia ingest component (#6333) * initial * cleanup * [autofix.ci] apply automated fixes * ruff * add else * update deps * uv lock * Make nv-ingest an optional dep * revert change to validate * rebase fixes * [autofix.ci] apply automated fixes * Update language * add extra args to make target * [autofix.ci] apply automated fixes * update error language * lockfile update * rebase lockfile: * [autofix.ci] apply automated fixes * Adds nv-ingest by default to -ep docker image * caps fixes * update uv lock * revert ruff upgrade * ruff * Fix lint * [autofix.ci] apply automated fixes * No code changes made. * fix: update ruff configuration to ignore additional linting rule and allow built-in modules * fix: update ruff command to ignore linting rule A005 during autofix * fix: update Ruff check command to ignore linting rule A005 --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida --- .github/workflows/py_autofix.yml | 4 +- .github/workflows/style-check-py.yml | 2 +- Makefile | 4 +- docker/build_and_push_ep.Dockerfile | 4 +- pyproject.toml | 11 + .../langflow/components/nvidia/__init__.py | 3 +- .../components/nvidia/nvidia_ingest.py | 235 ++ uv.lock | 2537 +++++++++-------- 8 files changed, 1587 insertions(+), 1213 deletions(-) create mode 100644 src/backend/base/langflow/components/nvidia/nvidia_ingest.py diff --git a/.github/workflows/py_autofix.yml b/.github/workflows/py_autofix.yml index ca8937765..7f448a4a8 100644 --- a/.github/workflows/py_autofix.yml +++ b/.github/workflows/py_autofix.yml @@ -14,8 +14,8 @@ jobs: - uses: actions/checkout@v4 - name: "Setup Environment" uses: ./.github/actions/setup-uv - - run: uv run ruff check --fix-only . - - run: uv run ruff format . + - run: uv run ruff check --fix-only . --ignore A005 + - run: uv run ruff format . --config pyproject.toml - uses: autofix-ci/action@551dded8c6cc8a1054039c8bc0b8b48c51dfc6ef - name: Minimize uv cache run: uv cache prune --ci diff --git a/.github/workflows/style-check-py.yml b/.github/workflows/style-check-py.yml index e997e07a7..0157df43f 100644 --- a/.github/workflows/style-check-py.yml +++ b/.github/workflows/style-check-py.yml @@ -24,6 +24,6 @@ jobs: - name: Register problem matcher run: echo "::add-matcher::.github/workflows/matchers/ruff.json" - name: Run Ruff Check - run: uv run --only-dev ruff check --output-format=github . + run: uv run --only-dev ruff check --output-format=github . --ignore A005 - name: Minimize uv cache run: uv cache prune --ci diff --git a/Makefile b/Makefile index efca0760b..2e76dfa6c 100644 --- a/Makefile +++ b/Makefile @@ -65,7 +65,7 @@ reinstall_backend: ## forces reinstall all dependencies (no caching) install_backend: ## install the backend dependencies @echo 'Installing backend dependencies' - @uv sync --frozen + @uv sync --frozen $(EXTRA_ARGS) install_frontend: ## install the frontend dependencies @echo 'Installing frontend dependencies' @@ -198,7 +198,7 @@ fix_codespell: ## run codespell to fix spelling errors poetry run codespell --toml pyproject.toml --write format_backend: ## backend code formatters - @uv run ruff check . --fix --ignore EXE002 + @uv run ruff check . --fix --ignore EXE002 --ignore A005 @uv run ruff format . --config pyproject.toml format_frontend: ## frontend code formatters diff --git a/docker/build_and_push_ep.Dockerfile b/docker/build_and_push_ep.Dockerfile index ee283f80b..d231acad3 100644 --- a/docker/build_and_push_ep.Dockerfile +++ b/docker/build_and_push_ep.Dockerfile @@ -40,7 +40,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=src/backend/base/README.md,target=src/backend/base/README.md \ --mount=type=bind,source=src/backend/base/uv.lock,target=src/backend/base/uv.lock \ --mount=type=bind,source=src/backend/base/pyproject.toml,target=src/backend/base/pyproject.toml \ - uv sync --frozen --no-install-project --no-editable + uv sync --frozen --no-install-project --no-editable --extra nv-ingest COPY ./src /app/src @@ -58,7 +58,7 @@ COPY ./uv.lock /app/uv.lock COPY ./README.md /app/README.md RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-editable + uv sync --frozen --no-editable --extra nv-ingest ################################ # RUNTIME diff --git a/pyproject.toml b/pyproject.toml index ec9026ba3..766fcc947 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -149,6 +149,14 @@ local = [ clickhouse-connect = [ "clickhouse-connect==0.7.19" ] +nv-ingest = [ + # nv-ingest-client 2025.2.7.dev0 does not correctly install its + # dependencies, so we need to install some manually. + "nv-ingest-client==2025.2.7.dev0", + "python-pptx==0.6.23", + "pymilvus[bulk_writer,model]==2.5.0", + "llama-index-embeddings-nvidia==0.1.5", +] [project.scripts] langflow = "langflow.__main__:main" @@ -276,6 +284,9 @@ external = ["RUF027"] "SLF001", ] +[tool.ruff.lint.flake8-builtins] +builtins-allowed-modules = [ "io", "logging", "socket"] + [tool.mypy] plugins = ["pydantic.mypy"] follow_imports = "skip" diff --git a/src/backend/base/langflow/components/nvidia/__init__.py b/src/backend/base/langflow/components/nvidia/__init__.py index 1e6f375b2..fa3646281 100644 --- a/src/backend/base/langflow/components/nvidia/__init__.py +++ b/src/backend/base/langflow/components/nvidia/__init__.py @@ -1,3 +1,4 @@ +from .nvidia_ingest import NvidiaIngestComponent from .nvidia_rerank import NvidiaRerankComponent -__all__ = ["NvidiaRerankComponent"] +__all__ = ["NvidiaIngestComponent", "NvidiaRerankComponent"] diff --git a/src/backend/base/langflow/components/nvidia/nvidia_ingest.py b/src/backend/base/langflow/components/nvidia/nvidia_ingest.py new file mode 100644 index 000000000..5d5673bdf --- /dev/null +++ b/src/backend/base/langflow/components/nvidia/nvidia_ingest.py @@ -0,0 +1,235 @@ +from pathlib import Path +from urllib.parse import urlparse + +from loguru import logger + +from langflow.custom import Component +from langflow.io import BoolInput, DropdownInput, FileInput, IntInput, MessageTextInput, Output +from langflow.schema import Data + + +class NvidiaIngestComponent(Component): + display_name = "NVIDIA Ingest" + description = "Process, transform, and store data." + documentation: str = "https://github.com/NVIDIA/nv-ingest/tree/main/docs" + icon = "NVIDIA" + name = "NVIDIAIngest" + beta = True + + try: + from nv_ingest_client.util.file_processing.extract import EXTENSION_TO_DOCUMENT_TYPE + + file_types = list(EXTENSION_TO_DOCUMENT_TYPE.keys()) + supported_file_types_info = f"Supported file types: {', '.join(file_types)}" + except ImportError: + msg = ( + "NVIDIA Ingest dependencies missing. " + "Please install them using your package manager. (e.g. uv sync --extra nv-ingest)" + ) + logger.warning(msg) + file_types = [msg] + supported_file_types_info = msg + + inputs = [ + MessageTextInput( + name="base_url", + display_name="NVIDIA Ingestion URL", + info="The URL of the NVIDIA Ingestion API.", + ), + FileInput( + name="path", + display_name="Path", + file_types=file_types, + info=supported_file_types_info, + required=True, + ), + BoolInput( + name="extract_text", + display_name="Extract Text", + info="Extract text from documents", + value=True, + ), + BoolInput( + name="extract_charts", + display_name="Extract Charts", + info="Extract text from charts", + value=False, + ), + BoolInput( + name="extract_tables", + display_name="Extract Tables", + info="Extract text from tables", + value=True, + ), + DropdownInput( + name="text_depth", + display_name="Text Depth", + info=( + "Level at which text is extracted (applies before splitting). " + "Support for 'block', 'line', 'span' varies by document type." + ), + options=["document", "page", "block", "line", "span"], + value="document", # Default value + advanced=True, + ), + BoolInput( + name="split_text", + display_name="Split Text", + info="Split text into smaller chunks", + value=True, + ), + DropdownInput( + name="split_by", + display_name="Split By", + info="How to split into chunks ('size' splits by number of characters)", + options=["page", "sentence", "word", "size"], + value="word", # Default value + advanced=True, + ), + IntInput( + name="split_length", + display_name="Split Length", + info="The size of each chunk based on the 'split_by' method", + value=200, + advanced=True, + ), + IntInput( + name="split_overlap", + display_name="Split Overlap", + info="Number of segments (as determined by the 'split_by' method) to overlap from previous chunk", + value=20, + advanced=True, + ), + IntInput( + name="max_character_length", + display_name="Max Character Length", + info="Maximum number of characters in each chunk", + value=1000, + advanced=True, + ), + IntInput( + name="sentence_window_size", + display_name="Sentence Window Size", + info="Number of sentences to include from previous and following chunk (when split_by='sentence')", + value=0, + advanced=True, + ), + ] + + outputs = [ + Output(display_name="Data", name="data", method="load_file"), + ] + + def load_file(self) -> list[Data]: + try: + from nv_ingest_client.client import Ingestor + except ImportError as e: + msg = ( + "NVIDIA Ingest dependencies missing. " + "Please install them using your package manager. (e.g. uv sync --extra nv-ingest)" + ) + raise ImportError(msg) from e + + self.base_url: str | None = self.base_url.strip() if self.base_url else None + + if not self.path: + err_msg = "Upload a file to use this component." + self.log(err_msg, name="NVIDIAIngestComponent") + raise ValueError(err_msg) + + resolved_path = self.resolve_path(self.path) + extension = Path(resolved_path).suffix[1:].lower() + if extension not in self.file_types: + err_msg = f"Unsupported file type: {extension}" + self.log(err_msg, name="NVIDIAIngestComponent") + raise ValueError(err_msg) + + try: + parsed_url = urlparse(self.base_url) + if not parsed_url.hostname or not parsed_url.port: + err_msg = "Invalid URL: Missing hostname or port." + self.log(err_msg, name="NVIDIAIngestComponent") + raise ValueError(err_msg) + except Exception as e: + self.log(f"Error parsing URL: {e}", name="NVIDIAIngestComponent") + raise + + self.log( + f"Creating Ingestor for host: {parsed_url.hostname!r}, port: {parsed_url.port!r}", + name="NVIDIAIngestComponent", + ) + try: + from nv_ingest_client.client import Ingestor + + ingestor = ( + Ingestor(message_client_hostname=parsed_url.hostname, message_client_port=parsed_url.port) + .files(resolved_path) + .extract( + extract_text=self.extract_text, + extract_tables=self.extract_tables, + extract_charts=self.extract_charts, + extract_images=False, # Currently not supported + text_depth=self.text_depth, + ) + ) + except Exception as e: + self.log(f"Error creating Ingestor: {e}", name="NVIDIAIngestComponent") + raise + + if self.split_text: + ingestor = ingestor.split( + split_by=self.split_by, + split_length=self.split_length, + split_overlap=self.split_overlap, + max_character_length=self.max_character_length, + sentence_window_size=self.sentence_window_size, + ) + + try: + result = ingestor.ingest() + except Exception as e: + self.log(f"Error during ingestion: {e}", name="NVIDIAIngestComponent") + raise + + self.log(f"Results: {result}", name="NVIDIAIngestComponent") + + data = [] + document_type_text = "text" + document_type_structured = "structured" + + # Result is a list of segments as determined by the text_depth option (if "document" then only one segment) + # each segment is a list of elements (text, structured, image) + for segment in result: + for element in segment: + document_type = element.get("document_type") + metadata = element.get("metadata", {}) + source_metadata = metadata.get("source_metadata", {}) + content_metadata = metadata.get("content_metadata", {}) + + if document_type == document_type_text: + data.append( + Data( + text=metadata.get("content", ""), + file_path=source_metadata.get("source_name", ""), + document_type=document_type, + description=content_metadata.get("description", ""), + ) + ) + # Both charts and tables are returned as "structured" document type, + # with extracted text in "table_content" + elif document_type == document_type_structured: + table_metadata = metadata.get("table_metadata", {}) + data.append( + Data( + text=table_metadata.get("table_content", ""), + file_path=source_metadata.get("source_name", ""), + document_type=document_type, + description=content_metadata.get("description", ""), + ) + ) + else: + # image is not yet supported; skip if encountered + self.log(f"Unsupported document type: {document_type}", name="NVIDIAIngestComponent") + + self.status = data if data else "No data" + return data diff --git a/uv.lock b/uv.lock index c9c520dc3..3893242ce 100644 --- a/uv.lock +++ b/uv.lock @@ -1,13 +1,10 @@ version = 1 -revision = 1 requires-python = ">=3.10, <3.14" resolution-markers = [ - "python_full_version > '3.13'", - "python_full_version == '3.13'", + "python_full_version >= '3.13'", "python_full_version >= '3.12.4' and python_full_version < '3.13'", "python_full_version >= '3.12' and python_full_version < '3.12.4'", - "python_full_version > '3.11' and python_full_version < '3.12'", - "python_full_version == '3.11'", + 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