From a87d627ec2f07606352d89713cb8c3bd17eecbd5 Mon Sep 17 00:00:00 2001 From: Boris Arzentar Date: Tue, 26 Mar 2024 16:21:33 +0100 Subject: [PATCH] fix: use pypdf for pdf text extraction --- cognee/api/v1/add/add.py | 3 +- cognee/api/v1/cognify/cognify.py | 8 +- .../embeddings/DefaultEmbeddingEngine.py | 4 +- .../files/utils/get_file_metadata.py | 12 +- poetry.lock | 2028 +---------------- pyproject.toml | 7 +- 6 files changed, 75 insertions(+), 1987 deletions(-) diff --git a/cognee/api/v1/add/add.py b/cognee/api/v1/add/add.py index 144c8f6fe..b91a979a8 100644 --- a/cognee/api/v1/add/add.py +++ b/cognee/api/v1/add/add.py @@ -3,7 +3,6 @@ from os import path, listdir import asyncio import dlt import duckdb -from unstructured.cleaners.core import clean from cognee.root_dir import get_absolute_path import cognee.modules.ingestion as ingestion from cognee.infrastructure.files import get_file_metadata @@ -19,7 +18,7 @@ async def add(file_paths: Union[str, List[str]], dataset_name: str = None): for file_or_dir in listdir(root_dir_path): if path.isdir(path.join(root_dir_path, file_or_dir)): dataset_name = file_or_dir if parent_dir == "root" else parent_dir + "." + file_or_dir - dataset_name = clean(dataset_name.replace(" ", "_")) + dataset_name = dataset_name.strip().replace(" ", "_") nested_datasets = list_dir_files(path.join(root_dir_path, file_or_dir), dataset_name) diff --git a/cognee/api/v1/cognify/cognify.py b/cognee/api/v1/cognify/cognify.py index f6b968490..f6b2d9534 100644 --- a/cognee/api/v1/cognify/cognify.py +++ b/cognee/api/v1/cognify/cognify.py @@ -3,8 +3,7 @@ import asyncio from typing import List, Union import instructor from openai import OpenAI -from unstructured.cleaners.core import clean -from unstructured.partition.pdf import partition_pdf +from pypdf import PdfReader from cognee.modules.cognify.graph.add_classification_nodes import add_classification_nodes from cognee.modules.cognify.llm.label_content import label_content from cognee.modules.cognify.graph.add_label_nodes import add_label_nodes @@ -61,8 +60,9 @@ async def cognify(datasets: Union[str, List[str]] = None, graphdatamodel: object for file_metadata in files_metadata: with open(file_metadata["file_path"], "rb") as file: - elements = partition_pdf(file = file, strategy = "fast") - text = "\n".join(map(lambda element: clean(element.text), elements)) + reader = PdfReader(stream = file) + pages = list(reader.pages[:3]) + text = "\n".join([page.extract_text().strip() for page in pages]) awaitables.append(process_text(text, file_metadata)) diff --git a/cognee/infrastructure/databases/vector/embeddings/DefaultEmbeddingEngine.py b/cognee/infrastructure/databases/vector/embeddings/DefaultEmbeddingEngine.py index e5bc3be9d..e09b47f2b 100644 --- a/cognee/infrastructure/databases/vector/embeddings/DefaultEmbeddingEngine.py +++ b/cognee/infrastructure/databases/vector/embeddings/DefaultEmbeddingEngine.py @@ -1,10 +1,10 @@ from typing import List -from fastembed.embedding import FlagEmbedding +from fastembed import TextEmbedding from .EmbeddingEngine import EmbeddingEngine class DefaultEmbeddingEngine(EmbeddingEngine): async def embed_text(self, text: List[str]) -> List[float]: - embedding_model = FlagEmbedding(model_name = "BAAI/bge-large-en-v1.5") + embedding_model = TextEmbedding(model_name = "BAAI/bge-large-en-v1.5") embeddings_list = list(map(lambda embedding: embedding.tolist(), embedding_model.embed(text))) return embeddings_list diff --git a/cognee/infrastructure/files/utils/get_file_metadata.py b/cognee/infrastructure/files/utils/get_file_metadata.py index 97023f6a4..9fda433fa 100644 --- a/cognee/infrastructure/files/utils/get_file_metadata.py +++ b/cognee/infrastructure/files/utils/get_file_metadata.py @@ -1,10 +1,8 @@ from typing import BinaryIO, TypedDict import filetype -from unstructured.cleaners.core import clean -from unstructured.partition.pdf import partition_pdf +from pypdf import PdfReader from .extract_keywords import extract_keywords - class FileTypeException(Exception): message: str @@ -27,10 +25,10 @@ def get_file_metadata(file: BinaryIO) -> FileMetadata: keywords: list = [] if file_type.extension == "pdf": - elements = partition_pdf(file = file, strategy = "fast") - keywords = extract_keywords( - "\n".join(map(lambda element: clean(element.text), elements)) - ) + reader = PdfReader(stream = file) + pages = list(reader.pages[:3]) + text = "\n".join([page.extract_text().strip() for page in pages]) + keywords = extract_keywords(text) file_path = file.name file_name = file_path.split("/")[-1].split(".")[0] diff --git a/poetry.lock b/poetry.lock index c4b7328df..d9ee5ef0d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -40,16 +40,6 @@ files = [ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, ] -[[package]] -name = "antlr4-python3-runtime" -version = "4.9.3" -description = "ANTLR 4.9.3 runtime for Python 3.7" -optional = false -python-versions = "*" -files = [ - 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