938 lines
861 KiB
Plaintext
938 lines
861 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/sepehr/dev/rag/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.insert(0, os.path.abspath(os.path.join(os.getcwd(), './src/document_processing')))\n",
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"from pdf_processor import process_pdf_document\n",
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"from pdf_processor import process_pdf_with_unstructured_loader\n",
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"pdf_path = \"/home/sepehr/dev/rag/document/Echangeurs.pdf\"\n",
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"from PIL import Image\n",
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"import pytesseract \n",
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"pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2025-02-28 22:14:30,067 - pdf_processor - INFO - Début du traitement du fichier PDF: F:\\Dev\\Rag\\Rag_Modeling\\document\\Echangeurs.pdf\n",
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"2025-02-28 22:14:30,068 - pdf_processor - INFO - Extraction de texte avec PyPDFLoader\n",
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"2025-02-28 22:14:30,355 - pdf_processor - INFO - Extraction de texte avec PDFMinerLoader\n",
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"2025-02-28 22:14:31,675 - pdf_processor - WARNING - Erreur avec PDFMinerLoader: The PDF parser must valorize the standard metadata.\n",
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"2025-02-28 22:14:31,678 - pdf_processor - INFO - Extraction de texte avec Unstructured\n",
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"2025-02-28 22:14:31,680 - unstructured - INFO - PDF text extraction failed, skip text extraction...\n",
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"2025-02-28 22:14:31,682 - unstructured - WARNING - pytesseract is not installed. Cannot use the ocr_only partitioning strategy. Falling back to partitioning with another strategy.\n",
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"2025-02-28 22:14:31,682 - unstructured - WARNING - Falling back to partitioning with hi_res.\n",
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"2025-02-28 22:14:31,683 - unstructured_inference - INFO - Reading PDF for file: F:\\Dev\\Rag\\Rag_Modeling\\document\\Echangeurs.pdf ...\n",
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"2025-02-28 22:14:45,041 - pdf_processor - WARNING - Erreur avec Unstructured: Environment variable OCR_AGENT module name C:\\Program Files\\Tesseract-OCR\\tesseract must be set to a whitelisted module part of ['unstructured.partition.utils.ocr_models.tesseract_ocr', 'unstructured.partition.utils.ocr_models.paddle_ocr', 'unstructured.partition.utils.ocr_models.google_vision_ocr'].\n",
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"2025-02-28 22:14:45,044 - pdf_processor - INFO - Extraction des tableaux avec Camelot\n",
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"2025-02-28 22:14:56,714 - pdf_processor - INFO - Extraction des images avec Unstructured\n",
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"2025-02-28 22:14:56,717 - unstructured - INFO - PDF text extraction failed, skip text extraction...\n",
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"2025-02-28 22:14:56,719 - unstructured_inference - INFO - Reading PDF for file: F:\\Dev\\Rag\\Rag_Modeling\\document\\Echangeurs.pdf ...\n",
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"2025-02-28 22:15:09,709 - pdf_processor - WARNING - Erreur lors de l'extraction des images: Environment variable OCR_AGENT module name C:\\Program Files\\Tesseract-OCR\\tesseract must be set to a whitelisted module part of ['unstructured.partition.utils.ocr_models.tesseract_ocr', 'unstructured.partition.utils.ocr_models.paddle_ocr', 'unstructured.partition.utils.ocr_models.google_vision_ocr'].\n",
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"2025-02-28 22:15:09,711 - pdf_processor - INFO - Traitement du PDF terminé: 30 chunks, 18 tableaux, 0 images\n"
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]
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}
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],
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"source": [
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"result = process_pdf_document(\n",
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" pdf_path,\n",
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" ocr_enabled=True,\n",
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" extract_tables=True,\n",
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" extract_images=True,\n",
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" chunk_size=1000,\n",
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" chunk_overlap=200\n",
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")\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Accès aux différentes parties du résultat\n",
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"text_chunks = result[\"chunks\"]\n",
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"tables = result[\"tables\"]\n",
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"images = result[\"images\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2025-02-28 22:23:44,919 - pdf_processor - INFO - Traitement du PDF avec UnstructuredPDFLoader: F:\\Dev\\Rag\\Rag_Modeling\\document\\Echangeurs.pdf\n",
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"2025-02-28 22:23:44,921 - unstructured - INFO - PDF text extraction failed, skip text extraction...\n",
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"2025-02-28 22:23:44,923 - pdf_processor - INFO - UnstructuredPDFLoader: extrait 0 éléments et 0 chunks\n"
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]
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}
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],
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"source": [
|
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"result = process_pdf_with_unstructured_loader(\n",
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" pdf_path,\n",
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" chunk_size=1000,\n",
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" chunk_overlap=200,\n",
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" # Vous pouvez passer des options spécifiques à UnstructuredPDFLoader:\n",
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" \n",
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" include_page_breaks=True # Pour inclure les sauts de page\n",
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")\n",
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"\n",
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"# Accéder aux résultats\n",
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"text = result[\"text\"]\n",
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"chunks = result[\"chunks\"]\n",
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"elements = result[\"elements\"] \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
|
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"# Correction de la configuration OCR\n",
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"import pytesseract \n",
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"import os\n",
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"# pytesseract.pytesseract.tesseract_cmd = r\"C:\\Program Files\\Tesseract-OCR\\tesseract.exe\"\n",
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"# os.environ['TESSDATA_PREFIX'] = os.environ['TESSDATA_PREFIX'] = r\"C:\\Program Files\\Tesseract-OCR\\tessdata\"\n",
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"# Au lieu du chemin vers l'exécutable, utilisez le nom de module approprié\n",
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"# os.environ['OCR_AGENT'] = r\"C:\\Program Files\\Tesseract-OCR\\tessdata\"\n",
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"from langchain_community.document_loaders import UnstructuredPDFLoader\n",
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"\n",
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"pdf_path = \"/home/sepehr/dev/rag/document/11_chapitre3.pdf\"\n",
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"loader = UnstructuredPDFLoader(pdf_path)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
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"2025-03-01 10:30:42,989 - unstructured - INFO - PDF text extraction failed, skip text extraction...\n",
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"2025-03-01 10:30:42,991 - unstructured - WARNING - pytesseract is not installed. Cannot use the ocr_only partitioning strategy. Falling back to partitioning with another strategy.\n",
|
||
"2025-03-01 10:30:42,991 - unstructured - WARNING - Falling back to partitioning with hi_res.\n",
|
||
"Error while downloading from https://cdn-lfs.hf.co/repos/d9/51/d951593388d0af1cb4a029c311ba19f9b05090d9acc4606c2b82588297ea4397/134301ca94fb0df8027be9a6dad1908fe6218af8ffa4d34f0819c7c2226195f3?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27yolox_l0.05.onnx%3B+filename%3D%22yolox_l0.05.onnx%22%3B&Expires=1740824527&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc0MDgyNDUyN319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5oZi5jby9yZXBvcy9kOS81MS9kOTUxNTkzMzg4ZDBhZjFjYjRhMDI5YzMxMWJhMTlmOWIwNTA5MGQ5YWNjNDYwNmMyYjgyNTg4Mjk3ZWE0Mzk3LzEzNDMwMWNhOTRmYjBkZjgwMjdiZTlhNmRhZDE5MDhmZTYyMThhZjhmZmE0ZDM0ZjA4MTljN2MyMjI2MTk1ZjM%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=HooWiUcXLJXHPWzVNtKIzsVjxYea8p0iN25xm59JZbS1u1mHwIzHtF1XOEr%7EvHLFS1kUlORUIf-j0127HWbsBbvIw9SFGNYDGPmjZai6%7ExN34mNbLaa6FhFfGZ-N-M1%7EnnKmIyLy1VASx2ut0-NfCBkfIRo%7Ew8oo7XFkArOAwz1OTkopFpIhyuhTWa9igWoJdKLvJWw4NMaDCP00P5ZMP3KJTZoftqMDgL0NAJ2N5AcjMnwR3yoimTCGkdd34SBU9BUnQ1vpCE66JEYkTrgSzUi2TQfEAOFhU8AT97PvqLlwYkwOM%7EZFpMAgjgnV8a76pXRV9%7E99LIRCX1AWCCUpXw__&Key-Pair-Id=K3RPWS32NSSJCE: HTTPSConnectionPool(host='cdn-lfs.hf.co', port=443): Read timed out.\n",
|
||
"Trying to resume download...\n",
|
||
"2025-03-01 10:31:10,693 - huggingface_hub.file_download - WARNING - Error while downloading from https://cdn-lfs.hf.co/repos/d9/51/d951593388d0af1cb4a029c311ba19f9b05090d9acc4606c2b82588297ea4397/134301ca94fb0df8027be9a6dad1908fe6218af8ffa4d34f0819c7c2226195f3?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27yolox_l0.05.onnx%3B+filename%3D%22yolox_l0.05.onnx%22%3B&Expires=1740824527&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc0MDgyNDUyN319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5oZi5jby9yZXBvcy9kOS81MS9kOTUxNTkzMzg4ZDBhZjFjYjRhMDI5YzMxMWJhMTlmOWIwNTA5MGQ5YWNjNDYwNmMyYjgyNTg4Mjk3ZWE0Mzk3LzEzNDMwMWNhOTRmYjBkZjgwMjdiZTlhNmRhZDE5MDhmZTYyMThhZjhmZmE0ZDM0ZjA4MTljN2MyMjI2MTk1ZjM%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=HooWiUcXLJXHPWzVNtKIzsVjxYea8p0iN25xm59JZbS1u1mHwIzHtF1XOEr%7EvHLFS1kUlORUIf-j0127HWbsBbvIw9SFGNYDGPmjZai6%7ExN34mNbLaa6FhFfGZ-N-M1%7EnnKmIyLy1VASx2ut0-NfCBkfIRo%7Ew8oo7XFkArOAwz1OTkopFpIhyuhTWa9igWoJdKLvJWw4NMaDCP00P5ZMP3KJTZoftqMDgL0NAJ2N5AcjMnwR3yoimTCGkdd34SBU9BUnQ1vpCE66JEYkTrgSzUi2TQfEAOFhU8AT97PvqLlwYkwOM%7EZFpMAgjgnV8a76pXRV9%7E99LIRCX1AWCCUpXw__&Key-Pair-Id=K3RPWS32NSSJCE: HTTPSConnectionPool(host='cdn-lfs.hf.co', port=443): Read timed out.\n",
|
||
"Trying to resume download...\n"
|
||
]
|
||
},
|
||
{
|
||
"ename": "ChunkedEncodingError",
|
||
"evalue": "('Connection broken: IncompleteRead(46334378 bytes read, 33976465 more expected)', IncompleteRead(46334378 bytes read, 33976465 more expected))",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||
"\u001b[31mTimeoutError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:754\u001b[39m, in \u001b[36mHTTPResponse._error_catcher\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 753\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m754\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m\n\u001b[32m 756\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SocketTimeout \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 757\u001b[39m \u001b[38;5;66;03m# FIXME: Ideally we'd like to include the url in the ReadTimeoutError but\u001b[39;00m\n\u001b[32m 758\u001b[39m \u001b[38;5;66;03m# there is yet no clean way to get at it from this context.\u001b[39;00m\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:879\u001b[39m, in \u001b[36mHTTPResponse._raw_read\u001b[39m\u001b[34m(self, amt, read1)\u001b[39m\n\u001b[32m 878\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m._error_catcher():\n\u001b[32m--> \u001b[39m\u001b[32m879\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_fp_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mread1\u001b[49m\u001b[43m=\u001b[49m\u001b[43mread1\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m fp_closed \u001b[38;5;28;01melse\u001b[39;00m \u001b[33mb\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 880\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m amt != \u001b[32m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m data:\n\u001b[32m 881\u001b[39m \u001b[38;5;66;03m# Platform-specific: Buggy versions of Python.\u001b[39;00m\n\u001b[32m 882\u001b[39m \u001b[38;5;66;03m# Close the connection when no data is returned\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 887\u001b[39m \u001b[38;5;66;03m# not properly close the connection in all cases. There is\u001b[39;00m\n\u001b[32m 888\u001b[39m \u001b[38;5;66;03m# no harm in redundantly calling close.\u001b[39;00m\n",
|
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"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:862\u001b[39m, in \u001b[36mHTTPResponse._fp_read\u001b[39m\u001b[34m(self, amt, read1)\u001b[39m\n\u001b[32m 860\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 861\u001b[39m \u001b[38;5;66;03m# StringIO doesn't like amt=None\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m862\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_fp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m._fp.read()\n",
|
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"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/http/client.py:479\u001b[39m, in \u001b[36mHTTPResponse.read\u001b[39m\u001b[34m(self, amt)\u001b[39m\n\u001b[32m 478\u001b[39m amt = \u001b[38;5;28mself\u001b[39m.length\n\u001b[32m--> \u001b[39m\u001b[32m479\u001b[39m s = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfp\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 480\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m s \u001b[38;5;129;01mand\u001b[39;00m amt:\n\u001b[32m 481\u001b[39m \u001b[38;5;66;03m# Ideally, we would raise IncompleteRead if the content-length\u001b[39;00m\n\u001b[32m 482\u001b[39m \u001b[38;5;66;03m# wasn't satisfied, but it might break compatibility.\u001b[39;00m\n",
|
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"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/socket.py:707\u001b[39m, in \u001b[36mSocketIO.readinto\u001b[39m\u001b[34m(self, b)\u001b[39m\n\u001b[32m 706\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m707\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sock\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 708\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/ssl.py:1252\u001b[39m, in \u001b[36mSSLSocket.recv_into\u001b[39m\u001b[34m(self, buffer, nbytes, flags)\u001b[39m\n\u001b[32m 1249\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 1250\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m %\n\u001b[32m 1251\u001b[39m \u001b[38;5;28mself\u001b[39m.\u001b[34m__class__\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1252\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1253\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/ssl.py:1104\u001b[39m, in \u001b[36mSSLSocket.read\u001b[39m\u001b[34m(self, len, buffer)\u001b[39m\n\u001b[32m 1103\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m buffer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1104\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_sslobj\u001b[49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1105\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n",
|
||
"\u001b[31mTimeoutError\u001b[39m: The read operation timed out",
|
||
"\nThe above exception was the direct cause of the following exception:\n",
|
||
"\u001b[31mReadTimeoutError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/requests/models.py:820\u001b[39m, in \u001b[36mResponse.iter_content.<locals>.generate\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 819\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m820\u001b[39m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m.raw.stream(chunk_size, decode_content=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 821\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ProtocolError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:1066\u001b[39m, in \u001b[36mHTTPResponse.stream\u001b[39m\u001b[34m(self, amt, decode_content)\u001b[39m\n\u001b[32m 1065\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_fp_closed(\u001b[38;5;28mself\u001b[39m._fp) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m._decoded_buffer) > \u001b[32m0\u001b[39m:\n\u001b[32m-> \u001b[39m\u001b[32m1066\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m=\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1068\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:955\u001b[39m, in \u001b[36mHTTPResponse.read\u001b[39m\u001b[34m(self, amt, decode_content, cache_content)\u001b[39m\n\u001b[32m 953\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._decoded_buffer.get(amt)\n\u001b[32m--> \u001b[39m\u001b[32m955\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_raw_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 957\u001b[39m flush_decoder = amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m (amt != \u001b[32m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m data)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:878\u001b[39m, in \u001b[36mHTTPResponse._raw_read\u001b[39m\u001b[34m(self, amt, read1)\u001b[39m\n\u001b[32m 876\u001b[39m fp_closed = \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m._fp, \u001b[33m\"\u001b[39m\u001b[33mclosed\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[32m--> \u001b[39m\u001b[32m878\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_error_catcher\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 879\u001b[39m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_fp_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mread1\u001b[49m\u001b[43m=\u001b[49m\u001b[43mread1\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mfp_closed\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43mb\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/contextlib.py:158\u001b[39m, in \u001b[36m_GeneratorContextManager.__exit__\u001b[39m\u001b[34m(self, typ, value, traceback)\u001b[39m\n\u001b[32m 157\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m158\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgen\u001b[49m\u001b[43m.\u001b[49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 159\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 160\u001b[39m \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[32m 161\u001b[39m \u001b[38;5;66;03m# was passed to throw(). This prevents a StopIteration\u001b[39;00m\n\u001b[32m 162\u001b[39m \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:759\u001b[39m, in \u001b[36mHTTPResponse._error_catcher\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 756\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SocketTimeout \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 757\u001b[39m \u001b[38;5;66;03m# FIXME: Ideally we'd like to include the url in the ReadTimeoutError but\u001b[39;00m\n\u001b[32m 758\u001b[39m \u001b[38;5;66;03m# there is yet no clean way to get at it from this context.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m759\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ReadTimeoutError(\u001b[38;5;28mself\u001b[39m._pool, \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[33m\"\u001b[39m\u001b[33mRead timed out.\u001b[39m\u001b[33m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01me\u001b[39;00m \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[32m 761\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m BaseSSLError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 762\u001b[39m \u001b[38;5;66;03m# FIXME: Is there a better way to differentiate between SSLErrors?\u001b[39;00m\n",
|
||
"\u001b[31mReadTimeoutError\u001b[39m: HTTPSConnectionPool(host='cdn-lfs.hf.co', port=443): Read timed out.",
|
||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||
"\u001b[31mConnectionError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:454\u001b[39m, in \u001b[36mhttp_get\u001b[39m\u001b[34m(url, temp_file, proxies, resume_size, headers, expected_size, displayed_filename, _nb_retries, _tqdm_bar)\u001b[39m\n\u001b[32m 453\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m454\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m.\u001b[49m\u001b[43miter_content\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunk_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconstants\u001b[49m\u001b[43m.\u001b[49m\u001b[43mDOWNLOAD_CHUNK_SIZE\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 455\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# filter out keep-alive new chunks\u001b[39;49;00m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/requests/models.py:826\u001b[39m, in \u001b[36mResponse.iter_content.<locals>.generate\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 825\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ReadTimeoutError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m--> \u001b[39m\u001b[32m826\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(e)\n\u001b[32m 827\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SSLError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
||
"\u001b[31mConnectionError\u001b[39m: HTTPSConnectionPool(host='cdn-lfs.hf.co', port=443): Read timed out.",
|
||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||
"\u001b[31mIncompleteRead\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:754\u001b[39m, in \u001b[36mHTTPResponse._error_catcher\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 753\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m754\u001b[39m \u001b[38;5;28;01myield\u001b[39;00m\n\u001b[32m 756\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m SocketTimeout \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 757\u001b[39m \u001b[38;5;66;03m# FIXME: Ideally we'd like to include the url in the ReadTimeoutError but\u001b[39;00m\n\u001b[32m 758\u001b[39m \u001b[38;5;66;03m# there is yet no clean way to get at it from this context.\u001b[39;00m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:900\u001b[39m, in \u001b[36mHTTPResponse._raw_read\u001b[39m\u001b[34m(self, amt, read1)\u001b[39m\n\u001b[32m 890\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[32m 891\u001b[39m \u001b[38;5;28mself\u001b[39m.enforce_content_length\n\u001b[32m 892\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m.length_remaining \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 898\u001b[39m \u001b[38;5;66;03m# raised during streaming, so all calls with incorrect\u001b[39;00m\n\u001b[32m 899\u001b[39m \u001b[38;5;66;03m# Content-Length are caught.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m900\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m IncompleteRead(\u001b[38;5;28mself\u001b[39m._fp_bytes_read, \u001b[38;5;28mself\u001b[39m.length_remaining)\n\u001b[32m 901\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m read1 \u001b[38;5;129;01mand\u001b[39;00m (\n\u001b[32m 902\u001b[39m (amt != \u001b[32m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m data) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m.length_remaining == \u001b[38;5;28mlen\u001b[39m(data)\n\u001b[32m 903\u001b[39m ):\n\u001b[32m (...)\u001b[39m\u001b[32m 906\u001b[39m \u001b[38;5;66;03m# `http.client.HTTPResponse`, so we close it here.\u001b[39;00m\n\u001b[32m 907\u001b[39m \u001b[38;5;66;03m# See https://github.com/python/cpython/issues/113199\u001b[39;00m\n",
|
||
"\u001b[31mIncompleteRead\u001b[39m: IncompleteRead(46334378 bytes read, 33976465 more expected)",
|
||
"\nThe above exception was the direct cause of the following exception:\n",
|
||
"\u001b[31mProtocolError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/requests/models.py:820\u001b[39m, in \u001b[36mResponse.iter_content.<locals>.generate\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 819\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m820\u001b[39m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m.raw.stream(chunk_size, decode_content=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 821\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ProtocolError \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:1066\u001b[39m, in \u001b[36mHTTPResponse.stream\u001b[39m\u001b[34m(self, amt, decode_content)\u001b[39m\n\u001b[32m 1065\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_fp_closed(\u001b[38;5;28mself\u001b[39m._fp) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m._decoded_buffer) > \u001b[32m0\u001b[39m:\n\u001b[32m-> \u001b[39m\u001b[32m1066\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m=\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1068\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m data:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:983\u001b[39m, in \u001b[36mHTTPResponse.read\u001b[39m\u001b[34m(self, amt, decode_content, cache_content)\u001b[39m\n\u001b[32m 979\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m._decoded_buffer) < amt \u001b[38;5;129;01mand\u001b[39;00m data:\n\u001b[32m 980\u001b[39m \u001b[38;5;66;03m# TODO make sure to initially read enough data to get past the headers\u001b[39;00m\n\u001b[32m 981\u001b[39m \u001b[38;5;66;03m# For example, the GZ file header takes 10 bytes, we don't want to read\u001b[39;00m\n\u001b[32m 982\u001b[39m \u001b[38;5;66;03m# it one byte at a time\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m983\u001b[39m data = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_raw_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 984\u001b[39m decoded_data = \u001b[38;5;28mself\u001b[39m._decode(data, decode_content, flush_decoder)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:878\u001b[39m, in \u001b[36mHTTPResponse._raw_read\u001b[39m\u001b[34m(self, amt, read1)\u001b[39m\n\u001b[32m 876\u001b[39m fp_closed = \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m._fp, \u001b[33m\"\u001b[39m\u001b[33mclosed\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[32m--> \u001b[39m\u001b[32m878\u001b[39m \u001b[43m\u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_error_catcher\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 879\u001b[39m \u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[43m=\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_fp_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mread1\u001b[49m\u001b[43m=\u001b[49m\u001b[43mread1\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mfp_closed\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[33;43mb\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m/usr/lib/python3.12/contextlib.py:158\u001b[39m, in \u001b[36m_GeneratorContextManager.__exit__\u001b[39m\u001b[34m(self, typ, value, traceback)\u001b[39m\n\u001b[32m 157\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m158\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgen\u001b[49m\u001b[43m.\u001b[49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 159\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m 160\u001b[39m \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[32m 161\u001b[39m \u001b[38;5;66;03m# was passed to throw(). This prevents a StopIteration\u001b[39;00m\n\u001b[32m 162\u001b[39m \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/urllib3/response.py:778\u001b[39m, in \u001b[36mHTTPResponse._error_catcher\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 777\u001b[39m arg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mConnection broken: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m--> \u001b[39m\u001b[32m778\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ProtocolError(arg, e) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01me\u001b[39;00m\n\u001b[32m 780\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m (HTTPException, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m e:\n",
|
||
"\u001b[31mProtocolError\u001b[39m: ('Connection broken: IncompleteRead(46334378 bytes read, 33976465 more expected)', IncompleteRead(46334378 bytes read, 33976465 more expected))",
|
||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||
"\u001b[31mChunkedEncodingError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[5]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m docs = \u001b[43mloader\u001b[49m\u001b[43m.\u001b[49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 2\u001b[39m docs[\u001b[32m0\u001b[39m]\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/langchain_core/document_loaders/base.py:31\u001b[39m, in \u001b[36mBaseLoader.load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 29\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mload\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> \u001b[38;5;28mlist\u001b[39m[Document]:\n\u001b[32m 30\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Load data into Document objects.\"\"\"\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m31\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mlazy_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/langchain_community/document_loaders/unstructured.py:107\u001b[39m, in \u001b[36mUnstructuredBaseLoader.lazy_load\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 105\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mlazy_load\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> Iterator[Document]:\n\u001b[32m 106\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Load file.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m107\u001b[39m elements = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_get_elements\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 108\u001b[39m \u001b[38;5;28mself\u001b[39m._post_process_elements(elements)\n\u001b[32m 109\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.mode == \u001b[33m\"\u001b[39m\u001b[33melements\u001b[39m\u001b[33m\"\u001b[39m:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/langchain_community/document_loaders/pdf.py:94\u001b[39m, in \u001b[36mUnstructuredPDFLoader._get_elements\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 91\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34m_get_elements\u001b[39m(\u001b[38;5;28mself\u001b[39m) -> \u001b[38;5;28mlist\u001b[39m:\n\u001b[32m 92\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01munstructured\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mpartition\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mpdf\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m partition_pdf\n\u001b[32m---> \u001b[39m\u001b[32m94\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpartition_pdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mfile_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43munstructured_kwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/documents/elements.py:581\u001b[39m, in \u001b[36mprocess_metadata.<locals>.decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 579\u001b[39m \u001b[38;5;129m@functools\u001b[39m.wraps(func)\n\u001b[32m 580\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mwrapper\u001b[39m(*args: _P.args, **kwargs: _P.kwargs) -> \u001b[38;5;28mlist\u001b[39m[Element]:\n\u001b[32m--> \u001b[39m\u001b[32m581\u001b[39m elements = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 582\u001b[39m call_args = get_call_args_applying_defaults(func, *args, **kwargs)\n\u001b[32m 584\u001b[39m unique_element_ids: \u001b[38;5;28mbool\u001b[39m = call_args.get(\u001b[33m\"\u001b[39m\u001b[33munique_element_ids\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/file_utils/filetype.py:815\u001b[39m, in \u001b[36madd_filetype.<locals>.decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 813\u001b[39m \u001b[38;5;129m@functools\u001b[39m.wraps(func)\n\u001b[32m 814\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mwrapper\u001b[39m(*args: _P.args, **kwargs: _P.kwargs) -> \u001b[38;5;28mlist\u001b[39m[Element]:\n\u001b[32m--> \u001b[39m\u001b[32m815\u001b[39m elements = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 817\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m element \u001b[38;5;129;01min\u001b[39;00m elements:\n\u001b[32m 818\u001b[39m \u001b[38;5;66;03m# NOTE(robinson) - Attached files have already run through this logic\u001b[39;00m\n\u001b[32m 819\u001b[39m \u001b[38;5;66;03m# in their own partitioning function\u001b[39;00m\n\u001b[32m 820\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m element.metadata.attached_to_filename \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/file_utils/filetype.py:773\u001b[39m, in \u001b[36madd_metadata.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 771\u001b[39m \u001b[38;5;129m@functools\u001b[39m.wraps(func)\n\u001b[32m 772\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mwrapper\u001b[39m(*args: _P.args, **kwargs: _P.kwargs) -> \u001b[38;5;28mlist\u001b[39m[Element]:\n\u001b[32m--> \u001b[39m\u001b[32m773\u001b[39m elements = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 774\u001b[39m call_args = get_call_args_applying_defaults(func, *args, **kwargs)\n\u001b[32m 776\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m call_args.get(\u001b[33m\"\u001b[39m\u001b[33mmetadata_filename\u001b[39m\u001b[33m\"\u001b[39m):\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/chunking/dispatch.py:74\u001b[39m, in \u001b[36madd_chunking_strategy.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 71\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"The decorated function is replaced with this one.\"\"\"\u001b[39;00m\n\u001b[32m 73\u001b[39m \u001b[38;5;66;03m# -- call the partitioning function to get the elements --\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m74\u001b[39m elements = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 76\u001b[39m \u001b[38;5;66;03m# -- look for a chunking-strategy argument --\u001b[39;00m\n\u001b[32m 77\u001b[39m call_args = get_call_args_applying_defaults(func, *args, **kwargs)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/partition/pdf.py:229\u001b[39m, in \u001b[36mpartition_pdf\u001b[39m\u001b[34m(filename, file, include_page_breaks, strategy, infer_table_structure, ocr_languages, languages, metadata_filename, metadata_last_modified, chunking_strategy, hi_res_model_name, extract_images_in_pdf, extract_image_block_types, extract_image_block_output_dir, extract_image_block_to_payload, starting_page_number, extract_forms, form_extraction_skip_tables, password, pdfminer_line_margin, pdfminer_char_margin, pdfminer_line_overlap, pdfminer_word_margin, **kwargs)\u001b[39m\n\u001b[32m 226\u001b[39m exactly_one(filename=filename, file=file)\n\u001b[32m 228\u001b[39m languages = check_language_args(languages \u001b[38;5;129;01mor\u001b[39;00m [], ocr_languages)\n\u001b[32m--> \u001b[39m\u001b[32m229\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpartition_pdf_or_image\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 230\u001b[39m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 231\u001b[39m \u001b[43m \u001b[49m\u001b[43mfile\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 232\u001b[39m \u001b[43m \u001b[49m\u001b[43minclude_page_breaks\u001b[49m\u001b[43m=\u001b[49m\u001b[43minclude_page_breaks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 233\u001b[39m \u001b[43m \u001b[49m\u001b[43mstrategy\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstrategy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 234\u001b[39m \u001b[43m \u001b[49m\u001b[43minfer_table_structure\u001b[49m\u001b[43m=\u001b[49m\u001b[43minfer_table_structure\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 235\u001b[39m \u001b[43m \u001b[49m\u001b[43mlanguages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlanguages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 236\u001b[39m \u001b[43m \u001b[49m\u001b[43mmetadata_last_modified\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmetadata_last_modified\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 237\u001b[39m \u001b[43m \u001b[49m\u001b[43mhi_res_model_name\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhi_res_model_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 238\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_images_in_pdf\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_images_in_pdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 239\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_types\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_types\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 240\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_output_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_output_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 241\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_to_payload\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_to_payload\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 242\u001b[39m \u001b[43m \u001b[49m\u001b[43mstarting_page_number\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstarting_page_number\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 243\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_forms\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_forms\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 244\u001b[39m \u001b[43m \u001b[49m\u001b[43mform_extraction_skip_tables\u001b[49m\u001b[43m=\u001b[49m\u001b[43mform_extraction_skip_tables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 245\u001b[39m \u001b[43m \u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 246\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdfminer_line_margin\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdfminer_line_margin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 247\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdfminer_char_margin\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdfminer_char_margin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 248\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdfminer_line_overlap\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdfminer_line_overlap\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 249\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdfminer_word_margin\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdfminer_word_margin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 250\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 251\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/partition/pdf.py:342\u001b[39m, in \u001b[36mpartition_pdf_or_image\u001b[39m\u001b[34m(filename, file, is_image, include_page_breaks, strategy, infer_table_structure, languages, metadata_last_modified, hi_res_model_name, extract_images_in_pdf, extract_image_block_types, extract_image_block_output_dir, extract_image_block_to_payload, starting_page_number, extract_forms, form_extraction_skip_tables, password, pdfminer_line_margin, pdfminer_char_margin, pdfminer_line_overlap, pdfminer_word_margin, **kwargs)\u001b[39m\n\u001b[32m 340\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m warnings.catch_warnings():\n\u001b[32m 341\u001b[39m warnings.simplefilter(\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m--> \u001b[39m\u001b[32m342\u001b[39m elements = \u001b[43m_partition_pdf_or_image_local\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 343\u001b[39m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 344\u001b[39m \u001b[43m \u001b[49m\u001b[43mfile\u001b[49m\u001b[43m=\u001b[49m\u001b[43mspooled_to_bytes_io_if_needed\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 345\u001b[39m \u001b[43m \u001b[49m\u001b[43mis_image\u001b[49m\u001b[43m=\u001b[49m\u001b[43mis_image\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 346\u001b[39m \u001b[43m \u001b[49m\u001b[43minfer_table_structure\u001b[49m\u001b[43m=\u001b[49m\u001b[43minfer_table_structure\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 347\u001b[39m \u001b[43m \u001b[49m\u001b[43minclude_page_breaks\u001b[49m\u001b[43m=\u001b[49m\u001b[43minclude_page_breaks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 348\u001b[39m \u001b[43m \u001b[49m\u001b[43mlanguages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlanguages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 349\u001b[39m \u001b[43m \u001b[49m\u001b[43mocr_languages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mocr_languages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 350\u001b[39m \u001b[43m \u001b[49m\u001b[43mmetadata_last_modified\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmetadata_last_modified\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mlast_modified\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 351\u001b[39m \u001b[43m \u001b[49m\u001b[43mhi_res_model_name\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhi_res_model_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 352\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdf_text_extractable\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdf_text_extractable\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 353\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_images_in_pdf\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_images_in_pdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 354\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_types\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_types\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 355\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_output_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_output_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 356\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_image_block_to_payload\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_image_block_to_payload\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 357\u001b[39m \u001b[43m \u001b[49m\u001b[43mstarting_page_number\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstarting_page_number\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 358\u001b[39m \u001b[43m \u001b[49m\u001b[43mextract_forms\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextract_forms\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 359\u001b[39m \u001b[43m \u001b[49m\u001b[43mform_extraction_skip_tables\u001b[49m\u001b[43m=\u001b[49m\u001b[43mform_extraction_skip_tables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 360\u001b[39m \u001b[43m \u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 361\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdfminer_config\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdfminer_config\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 362\u001b[39m \u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 363\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 364\u001b[39m out_elements = _process_uncategorized_text_elements(elements)\n\u001b[32m 366\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m strategy == PartitionStrategy.FAST:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/utils.py:216\u001b[39m, in \u001b[36mrequires_dependencies.<locals>.decorator.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 213\u001b[39m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[32m 214\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mwrapper\u001b[39m(*args: _P.args, **kwargs: _P.kwargs):\n\u001b[32m 215\u001b[39m run_check()\n\u001b[32m--> \u001b[39m\u001b[32m216\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured/partition/pdf.py:643\u001b[39m, in \u001b[36m_partition_pdf_or_image_local\u001b[39m\u001b[34m(filename, file, is_image, infer_table_structure, include_page_breaks, languages, ocr_languages, ocr_mode, model_name, hi_res_model_name, pdf_image_dpi, metadata_last_modified, pdf_text_extractable, extract_images_in_pdf, extract_image_block_types, extract_image_block_output_dir, extract_image_block_to_payload, analysis, analyzed_image_output_dir_path, starting_page_number, extract_forms, form_extraction_skip_tables, pdf_hi_res_max_pages, password, pdfminer_config, **kwargs)\u001b[39m\n\u001b[32m 640\u001b[39m skip_analysis_dump = env_config.ANALYSIS_DUMP_OD_SKIP\n\u001b[32m 642\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m643\u001b[39m inferred_document_layout = \u001b[43mprocess_file_with_model\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 644\u001b[39m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 645\u001b[39m \u001b[43m \u001b[49m\u001b[43mis_image\u001b[49m\u001b[43m=\u001b[49m\u001b[43mis_image\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 646\u001b[39m \u001b[43m \u001b[49m\u001b[43mmodel_name\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhi_res_model_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 647\u001b[39m \u001b[43m \u001b[49m\u001b[43mpdf_image_dpi\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpdf_image_dpi\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 648\u001b[39m \u001b[43m \u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m=\u001b[49m\u001b[43mpassword\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 649\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 651\u001b[39m extracted_layout, layouts_links = (\n\u001b[32m 652\u001b[39m process_file_with_pdfminer(\n\u001b[32m 653\u001b[39m filename=filename,\n\u001b[32m (...)\u001b[39m\u001b[32m 659\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m ([], [])\n\u001b[32m 660\u001b[39m )\n\u001b[32m 662\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m analysis:\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured_inference/inference/layout.py:366\u001b[39m, in \u001b[36mprocess_file_with_model\u001b[39m\u001b[34m(filename, model_name, is_image, fixed_layouts, pdf_image_dpi, password, **kwargs)\u001b[39m\n\u001b[32m 354\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mprocess_file_with_model\u001b[39m(\n\u001b[32m 355\u001b[39m filename: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m 356\u001b[39m model_name: Optional[\u001b[38;5;28mstr\u001b[39m],\n\u001b[32m (...)\u001b[39m\u001b[32m 361\u001b[39m **kwargs: Any,\n\u001b[32m 362\u001b[39m ) -> DocumentLayout:\n\u001b[32m 363\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"Processes pdf file with name filename into a DocumentLayout by using a model identified by\u001b[39;00m\n\u001b[32m 364\u001b[39m \u001b[33;03m model_name.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m366\u001b[39m model = \u001b[43mget_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 367\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(model, UnstructuredObjectDetectionModel):\n\u001b[32m 368\u001b[39m detection_model = model\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured_inference/models/base.py:74\u001b[39m, in \u001b[36mget_model\u001b[39m\u001b[34m(model_name)\u001b[39m\n\u001b[32m 70\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m UnknownModelException(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mUnknown model type: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 72\u001b[39m model: UnstructuredModel = model_class_map[model_name]()\n\u001b[32m---> \u001b[39m\u001b[32m74\u001b[39m model.initialize(**initialize_params)\n\u001b[32m 75\u001b[39m models[model_name] = model\n\u001b[32m 76\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m model\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured_inference/utils.py:40\u001b[39m, in \u001b[36mLazyDict.__getitem__\u001b[39m\u001b[34m(self, key)\u001b[39m\n\u001b[32m 38\u001b[39m evaluate = value.evaluate\n\u001b[32m 39\u001b[39m args, kwargs = value.info\n\u001b[32m---> \u001b[39m\u001b[32m40\u001b[39m value = \u001b[43mevaluate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 41\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m.cache:\n\u001b[32m 42\u001b[39m \u001b[38;5;28mself\u001b[39m._raw_dict[key] = value\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/unstructured_inference/utils.py:115\u001b[39m, in \u001b[36mdownload_if_needed_and_get_local_path\u001b[39m\u001b[34m(path_or_repo, filename, **kwargs)\u001b[39m\n\u001b[32m 113\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m full_path\n\u001b[32m 114\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m115\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mhf_hub_download\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath_or_repo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py:114\u001b[39m, in \u001b[36mvalidate_hf_hub_args.<locals>._inner_fn\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 111\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m check_use_auth_token:\n\u001b[32m 112\u001b[39m kwargs = smoothly_deprecate_use_auth_token(fn_name=fn.\u001b[34m__name__\u001b[39m, has_token=has_token, kwargs=kwargs)\n\u001b[32m--> \u001b[39m\u001b[32m114\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:862\u001b[39m, in \u001b[36mhf_hub_download\u001b[39m\u001b[34m(repo_id, filename, subfolder, repo_type, revision, library_name, library_version, cache_dir, local_dir, user_agent, force_download, proxies, etag_timeout, token, local_files_only, headers, endpoint, resume_download, force_filename, local_dir_use_symlinks)\u001b[39m\n\u001b[32m 842\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m _hf_hub_download_to_local_dir(\n\u001b[32m 843\u001b[39m \u001b[38;5;66;03m# Destination\u001b[39;00m\n\u001b[32m 844\u001b[39m local_dir=local_dir,\n\u001b[32m (...)\u001b[39m\u001b[32m 859\u001b[39m local_files_only=local_files_only,\n\u001b[32m 860\u001b[39m )\n\u001b[32m 861\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m862\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_hf_hub_download_to_cache_dir\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 863\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Destination\u001b[39;49;00m\n\u001b[32m 864\u001b[39m \u001b[43m \u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcache_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 865\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# File info\u001b[39;49;00m\n\u001b[32m 866\u001b[39m \u001b[43m \u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrepo_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 867\u001b[39m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 868\u001b[39m \u001b[43m \u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrepo_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 869\u001b[39m \u001b[43m \u001b[49m\u001b[43mrevision\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrevision\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 870\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# HTTP info\u001b[39;49;00m\n\u001b[32m 871\u001b[39m \u001b[43m \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[43m=\u001b[49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 872\u001b[39m \u001b[43m \u001b[49m\u001b[43metag_timeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43metag_timeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 873\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhf_headers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 874\u001b[39m \u001b[43m \u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m=\u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 875\u001b[39m \u001b[43m \u001b[49m\u001b[43mtoken\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtoken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 876\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Additional options\u001b[39;49;00m\n\u001b[32m 877\u001b[39m \u001b[43m \u001b[49m\u001b[43mlocal_files_only\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlocal_files_only\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 878\u001b[39m \u001b[43m \u001b[49m\u001b[43mforce_download\u001b[49m\u001b[43m=\u001b[49m\u001b[43mforce_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 879\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:1011\u001b[39m, in \u001b[36m_hf_hub_download_to_cache_dir\u001b[39m\u001b[34m(cache_dir, repo_id, filename, repo_type, revision, endpoint, etag_timeout, headers, proxies, token, local_files_only, force_download)\u001b[39m\n\u001b[32m 1009\u001b[39m Path(lock_path).parent.mkdir(parents=\u001b[38;5;28;01mTrue\u001b[39;00m, exist_ok=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 1010\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m WeakFileLock(lock_path):\n\u001b[32m-> \u001b[39m\u001b[32m1011\u001b[39m \u001b[43m_download_to_tmp_and_move\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1012\u001b[39m \u001b[43m \u001b[49m\u001b[43mincomplete_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mPath\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblob_path\u001b[49m\u001b[43m \u001b[49m\u001b[43m+\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m.incomplete\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1013\u001b[39m \u001b[43m \u001b[49m\u001b[43mdestination_path\u001b[49m\u001b[43m=\u001b[49m\u001b[43mPath\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblob_path\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1014\u001b[39m \u001b[43m \u001b[49m\u001b[43murl_to_download\u001b[49m\u001b[43m=\u001b[49m\u001b[43murl_to_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1015\u001b[39m \u001b[43m \u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m=\u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1016\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1017\u001b[39m \u001b[43m \u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1018\u001b[39m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1019\u001b[39m \u001b[43m \u001b[49m\u001b[43mforce_download\u001b[49m\u001b[43m=\u001b[49m\u001b[43mforce_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1020\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1021\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os.path.exists(pointer_path):\n\u001b[32m 1022\u001b[39m _create_symlink(blob_path, pointer_path, new_blob=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:1547\u001b[39m, in \u001b[36m_download_to_tmp_and_move\u001b[39m\u001b[34m(incomplete_path, destination_path, url_to_download, proxies, headers, expected_size, filename, force_download)\u001b[39m\n\u001b[32m 1544\u001b[39m _check_disk_space(expected_size, incomplete_path.parent)\n\u001b[32m 1545\u001b[39m _check_disk_space(expected_size, destination_path.parent)\n\u001b[32m-> \u001b[39m\u001b[32m1547\u001b[39m \u001b[43mhttp_get\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 1548\u001b[39m \u001b[43m \u001b[49m\u001b[43murl_to_download\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1549\u001b[39m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1550\u001b[39m \u001b[43m \u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m=\u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1551\u001b[39m \u001b[43m \u001b[49m\u001b[43mresume_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mresume_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1552\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1553\u001b[39m \u001b[43m \u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 1554\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1556\u001b[39m logger.info(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mDownload complete. Moving file to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdestination_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m)\n\u001b[32m 1557\u001b[39m _chmod_and_move(incomplete_path, destination_path)\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:471\u001b[39m, in \u001b[36mhttp_get\u001b[39m\u001b[34m(url, temp_file, proxies, resume_size, headers, expected_size, displayed_filename, _nb_retries, _tqdm_bar)\u001b[39m\n\u001b[32m 469\u001b[39m time.sleep(\u001b[32m1\u001b[39m)\n\u001b[32m 470\u001b[39m reset_sessions() \u001b[38;5;66;03m# In case of SSLError it's best to reset the shared requests.Session objects\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m471\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mhttp_get\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 472\u001b[39m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m=\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 473\u001b[39m \u001b[43m \u001b[49m\u001b[43mtemp_file\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtemp_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 474\u001b[39m \u001b[43m \u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m=\u001b[49m\u001b[43mproxies\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 475\u001b[39m \u001b[43m \u001b[49m\u001b[43mresume_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mnew_resume_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 476\u001b[39m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m=\u001b[49m\u001b[43minitial_headers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 477\u001b[39m \u001b[43m \u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mexpected_size\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 478\u001b[39m \u001b[43m \u001b[49m\u001b[43m_nb_retries\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_nb_retries\u001b[49m\u001b[43m \u001b[49m\u001b[43m-\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m 479\u001b[39m \u001b[43m \u001b[49m\u001b[43m_tqdm_bar\u001b[49m\u001b[43m=\u001b[49m\u001b[43m_tqdm_bar\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 480\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 482\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m expected_size \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m expected_size != temp_file.tell():\n\u001b[32m 483\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mEnvironmentError\u001b[39;00m(\n\u001b[32m 484\u001b[39m consistency_error_message.format(\n\u001b[32m 485\u001b[39m actual_size=temp_file.tell(),\n\u001b[32m 486\u001b[39m )\n\u001b[32m 487\u001b[39m )\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/huggingface_hub/file_download.py:454\u001b[39m, in \u001b[36mhttp_get\u001b[39m\u001b[34m(url, temp_file, proxies, resume_size, headers, expected_size, displayed_filename, _nb_retries, _tqdm_bar)\u001b[39m\n\u001b[32m 452\u001b[39m new_resume_size = resume_size\n\u001b[32m 453\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m454\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mr\u001b[49m\u001b[43m.\u001b[49m\u001b[43miter_content\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunk_size\u001b[49m\u001b[43m=\u001b[49m\u001b[43mconstants\u001b[49m\u001b[43m.\u001b[49m\u001b[43mDOWNLOAD_CHUNK_SIZE\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[32m 455\u001b[39m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# filter out keep-alive new chunks\u001b[39;49;00m\n\u001b[32m 456\u001b[39m \u001b[43m \u001b[49m\u001b[43mprogress\u001b[49m\u001b[43m.\u001b[49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
|
||
"\u001b[36mFile \u001b[39m\u001b[32m~/dev/rag/.venv/lib/python3.12/site-packages/requests/models.py:822\u001b[39m, in \u001b[36mResponse.iter_content.<locals>.generate\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m 820\u001b[39m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m.raw.stream(chunk_size, decode_content=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m 821\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ProtocolError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m--> \u001b[39m\u001b[32m822\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ChunkedEncodingError(e)\n\u001b[32m 823\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m DecodeError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[32m 824\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ContentDecodingError(e)\n",
|
||
"\u001b[31mChunkedEncodingError\u001b[39m: ('Connection broken: IncompleteRead(46334378 bytes read, 33976465 more expected)', IncompleteRead(46334378 bytes read, 33976465 more expected))"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"docs = loader.load()\n",
|
||
"docs[0]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"from PIL import Image oa\n",
|
||
"import pytesseract\n",
|
||
"\n",
|
||
"# If you don't have tesseract executable in your PATH, include the following:\n",
|
||
"pytesseract.pytesseract.tesseract_cmd = r’<full_path_to_your_tesseract_executable>*\n",
|
||
"‘# Example tesseract_cmd = r’C:\\Program Files (x86)\\Tesseract-OCR\\tesseract’\n",
|
||
"\n",
|
||
"‘# Simple image to string\n",
|
||
"print(pytesseract. image to_string(Image.open( ‘test .png’)))\n",
|
||
"\n",
|
||
"# In order to bypass the image conversions of pytesseract, just use relative or absolute image path\n",
|
||
"# NOTE: In this case you should provide tesseract supported images or tesseract will return error\n",
|
||
"print (pytesseract.image_to_string(‘test.png\"))\n",
|
||
"\n",
|
||
"# List of available languages\n",
|
||
"\n",
|
||
"print (pytesseract.get_languages(config=\"*))\n",
|
||
"\n",
|
||
"# French text image to string\n",
|
||
"print (pytesseract. image_to_string(Image.open(‘test-european. jpg’), lang=\"fra’))\n",
|
||
"\n",
|
||
"# Batch processing with a single file containing the list of multiple image file paths\n",
|
||
"print (pytesseract. image_to_string(’images.txt\"))\n",
|
||
"\n",
|
||
"# Timeout/terminate the tesseract job after a period of time\n",
|
||
"try:\n",
|
||
"\n",
|
||
"print (pytesseract.image_to_string(‘test. jpg’, timeout-2)) # Timeout after 2 seconds\n",
|
||
"\n",
|
||
"print (pytesseract. image to_string(‘test.jpg\", timeout=2.5)) # Timeout after half a second\n",
|
||
"except Runtime€rror as timeout_error:\n",
|
||
"\n",
|
||
"# Tesseract processing is terminated\n",
|
||
"\n",
|
||
"pass\n",
|
||
"\n",
|
||
"# Get bounding box estimates\n",
|
||
"print (pytesseract. image_to_boxes(Image.open(‘test.png’)))\n",
|
||
"\n",
|
||
"# Get verbose data including boxes, confidences, line and page numbers\n",
|
||
"print (pytesseract.image_to_data(Inage.open(‘test.png’)))\n",
|
||
"\n",
|
||
"# Get information about orientation and script detection\n",
|
||
"print (pytesseract..image_to_osd(Image.open( ‘test.png\")))\n",
|
||
"\n",
|
||
"# Get a searchable PDF\n",
|
||
"pdf = pytesseract.image_to_pdf_or_hocr(‘test.png’, extension='\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"IMG_path = r\"F:\\Dev\\Rag\\Rag_Modeling\\document\\test.png\"\n",
|
||
"print(pytesseract.image_to_string(Image.open(IMG_path)))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/home/sepehr/dev/rag/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
|
||
" from .autonotebook import tqdm as notebook_tqdm\n",
|
||
"The PDF <_io.BufferedReader name='/home/sepehr/dev/rag/document/11_chapitre3.pdf'> contains a metadata field indicating that it should not allow text extraction. Ignoring this field and proceeding. Use the check_extractable if you want to raise an error in this case\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"33.. CCHHAAPPIITTRREE 33 ::\n",
|
||
"\n",
|
||
"MMOODDÉÉLLIISSAATTIIOONN 11DD DDEESS IINNJJEECCTTEEUURRSS CCOONNDDEENNSSEEUURRSS\n",
|
||
"\n",
|
||
"92\n",
|
||
"\n",
|
||
"Chapitre 3 : Modélisation 1D des injecteurs condenseurs\n",
|
||
"\n",
|
||
"3-1 MODÉLISATION 0D DE L’IC\n",
|
||
"\n",
|
||
"La modélisation 0D consiste à donner une approche théorique de type global des IC en simplifiant au maximum la physique des phénomènes intervenant dans le processus de fonctionnement. Ce modèle est basé sur des bilans globaux entrée/sortie de masse, de quantité de mouvement et d'énergie. Il permet d'estimer les caractéristiques d'un injecteur, en termes de performance et de limites de fonctionnement tout en restant simple avec un volume de calcul réduit. Il nécessite la prise en compte d'une loi de fermeture expérimentale. Cette modélisation a déjà été entreprise auparavant par différents auteurs : [Rose1960] ; [Cattadori1993] ; [Narabayashi1994] ; [Soplenkov1995] ; et [Deberne2000]. Nous partirons de la modélisation décrite dans [Deberne2000], référence à laquelle nous nous reporterons pour plus de détails. Elle traite de l'IC fonctionnant avec une injection de liquide centrale. Beithou [Beithou2000] a proposé aussi un modèle 0D stationnaire et simplifié de la chambre de mélange pour un IC à injection de vapeur centrale, qui donne de bons résultats. Par contre, l'auteur suppose que l'écoulement dans la chambre de mélange de l'IC est isobare, et il ne traite pas l'onde de condensation en supposant que la condensation complète a lieu à la fin de la chambre de mélange (l'auteur impose l'évolution du taux de vide). Pour cela, Beithou considère 2 équations : l'équation de conservation de l'énergie et l'équation de la masse (les indices correspondent aux repères marqués sur la figure 3-1) :\n",
|
||
"\n",
|
||
"⎧ ⎪ ⎪⎪ ⎨ ⎪ ⎪ u ⎪ ⎩\n",
|
||
"\n",
|
||
"( hM 1 V 1 V M +\n",
|
||
"\n",
|
||
"2 50 u, 1 V M\n",
|
||
"\n",
|
||
"+\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from unstructured.partition.auto import partition\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = pdf_path = \"/home/sepehr/dev/rag/document/11_chapitre3.pdf\"\n",
|
||
"elements = partition(filename=filename, content_type=\"application/pdf\")\n",
|
||
"print(\"\\n\\n\".join([str(el) for el in elements][:10]))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"datetime.datetime(2021, 3, 26, 11, 4, 9, tzinfo=datetime.timezone(datetime.timedelta(seconds=43200)))"
|
||
]
|
||
},
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from unstructured.cleaners.extract import extract_datetimetz\n",
|
||
"\n",
|
||
"text = \"\"\"from ABC.DEF.local ([ba23::58b5:2236:45g2:88h2]) by\n",
|
||
" \\n ABC.DEF.local2 ([ba23::58b5:2236:45g2:88h2%25]) with mapi id\\\n",
|
||
" n 32.88.5467.123; Fri, 26 Mar 2021 11:04:09 +1200\"\"\"\n",
|
||
"\n",
|
||
"# Returns datetime.datetime(2021, 3, 26, 11, 4, 9, tzinfo=datetime.timezone(datetime.timedelta(seconds=43200)))\n",
|
||
"extract_datetimetz(text)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"['me@email.com', 'you@email.com']"
|
||
]
|
||
},
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"from unstructured.cleaners.extract import extract_email_address\n",
|
||
"\n",
|
||
"text = \"\"\"Me me@email.com and You <You@email.com>\n",
|
||
" ([ba23::58b5:2236:45g2:88h2]) (10.0.2.01)\"\"\"\n",
|
||
"\n",
|
||
"# Returns \"['me@email.com', 'you@email.com']\"\n",
|
||
"extract_email_address(text)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"\n",
|
||
"from unstructured.partition.image import partition_image\n",
|
||
"\n",
|
||
"# Source: https://github.com/Unstructured-IO/unstructured-ingest/blob/main/example-docs/img/english-and-korean.png\n",
|
||
"# Path to the local file to process, relative to this .py file.\n",
|
||
"filename = \"/home/sepehr/dev/rag/document/test2.png\"\n",
|
||
"\n",
|
||
"elements = partition_image(\n",
|
||
" filename=filename,\n",
|
||
" strategy=\"ocr_only\",\n",
|
||
" languages=[\"eng\", \"fr\"] # Language codes differ by the OCR agent used.\n",
|
||
")\n",
|
||
"\n",
|
||
"# Convert the list of returned elements into a list of dictionaries for printing or saving.\n",
|
||
"element_dicts = [element.to_dict() for element in elements]\n",
|
||
"\n",
|
||
"# Print the list.\n",
|
||
"# print(json.dumps(element_dicts, indent=2))\n",
|
||
"\n",
|
||
"# Or, save the list locally:\n",
|
||
"#\n",
|
||
"# file = \"local-ingest-output/english-and-korean.json\"\n",
|
||
"#\n",
|
||
"# with open(file, \"w\") as file:\n",
|
||
"# json.dump(element_dicts, file, indent=2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 40,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from unstructured_inference.models.base import get_model\n",
|
||
"from unstructured_inference.inference.layout import DocumentLayout\n",
|
||
"\n",
|
||
"model = get_model(\"yolox\")\n",
|
||
"layout = DocumentLayout.from_file(\"/home/sepehr/dev/rag/document/04Extrait_Methodologie_Experimentale.pdf\", detection_model=model)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 48,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Nombre de pages: 54\n",
|
||
"Éléments sur la première page: 4\n",
|
||
"Picture: 49 elements\n",
|
||
"Caption: 11 elements\n",
|
||
"Text: 191 elements\n",
|
||
"Section-header: 50 elements\n",
|
||
"Page-header: 17 elements\n",
|
||
"Table: 57 elements\n",
|
||
"Title: 24 elements\n",
|
||
"Formula: 1 elements\n",
|
||
"Page-footer: 29 elements\n",
|
||
"List-item: 1 elements\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(f\"Nombre de pages: {len(layout.pages)}\")\n",
|
||
"\n",
|
||
"# Explorer la première page\n",
|
||
"first_page = layout.pages[0]\n",
|
||
"print(f\"Éléments sur la première page: {len(first_page.elements)}\")\n",
|
||
"\n",
|
||
"# Examiner les types d'éléments\n",
|
||
"from collections import defaultdict\n",
|
||
"\n",
|
||
"# Group elements by type across all pages\n",
|
||
"element_types = defaultdict(list)\n",
|
||
"\n",
|
||
"for page in layout.pages:\n",
|
||
" for element in page.elements:\n",
|
||
" element_types[element.type].append(element)\n",
|
||
"\n",
|
||
"# Print count of each element type\n",
|
||
"for elem_type, elems in element_types.items():\n",
|
||
" print(f\"{elem_type}: {len(elems)} elements\")\n",
|
||
"\n",
|
||
"# Examiner les types d'éléments\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 98,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import matplotlib.patches as patches\n",
|
||
"from PIL import Image\n",
|
||
"import numpy as np\n",
|
||
"import fitz # PyMuPDF\n",
|
||
"\n",
|
||
"def visualize_layout(layout, page_num=0):\n",
|
||
" # Get the PDF path used to generate the layout\n",
|
||
" pdf_path = \"/home/sepehr/dev/rag/document/04Extrait_Methodologie_Experimentale.pdf\"\n",
|
||
" \n",
|
||
" # Open the PDF and render the page as an image using PyMuPDF\n",
|
||
" pdf_document = fitz.open(pdf_path)\n",
|
||
" page = pdf_document[page_num]\n",
|
||
" pix = page.get_pixmap(matrix=fitz.Matrix(2, 2)) # 2x zoom for better quality\n",
|
||
" \n",
|
||
" # Convert to numpy array for matplotlib\n",
|
||
" img = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.h, pix.w, pix.n)\n",
|
||
" \n",
|
||
" # Create figure and axis\n",
|
||
" fig, ax = plt.subplots(1, figsize=(12, 16))\n",
|
||
" ax.imshow(img)\n",
|
||
" \n",
|
||
" # Define colors for different element types\n",
|
||
" colors = {'Title': 'red', 'Text': 'blue', 'Table': 'green', \n",
|
||
" 'Figure': 'orange', 'List': 'purple', 'Header': 'cyan',\n",
|
||
" 'Footer': 'magenta'}\n",
|
||
" \n",
|
||
" # Draw bounding boxes for elements\n",
|
||
" page = layout.pages[page_num]\n",
|
||
" \n",
|
||
" for element in page.elements:\n",
|
||
" # Access bbox properties correctly based on the Rectangle object structure\n",
|
||
" # try:\n",
|
||
" # Try to access rectangle coordinates\n",
|
||
" if hasattr(element, 'bbox'):\n",
|
||
" \n",
|
||
" if hasattr(element.bbox, 'x1'): # Rectangle object with explicit coordinates\n",
|
||
" x = element.bbox.x1\n",
|
||
" y = element.bbox.y1\n",
|
||
" width = element.bbox.x2 - element.bbox.x1\n",
|
||
" height = element.bbox.y2 - element.bbox.y1\n",
|
||
" else: # Some other format\n",
|
||
" x, y, x2, y2 = element.bbox # Try direct unpacking\n",
|
||
" width = x2 - x\n",
|
||
" height = y2 - y\n",
|
||
" \n",
|
||
" elem_type = getattr(element, 'type', 'Unknown')\n",
|
||
" color = colors.get(elem_type, 'gray')\n",
|
||
" \n",
|
||
" rect = patches.Rectangle((x, y), width, height, \n",
|
||
" linewidth=1, edgecolor=color, facecolor='none')\n",
|
||
" ax.add_patch(rect)\n",
|
||
" \n",
|
||
" # Add label for the element type\n",
|
||
" plt.text(x, y, f\"{elem_type}\", color='white', \n",
|
||
" backgroundcolor=color, fontsize=8)\n",
|
||
" \n",
|
||
" # except (AttributeError, TypeError, ValueError) as e:\n",
|
||
" # print(f\"Error processing element: {e}\")\n",
|
||
" \n",
|
||
" plt.title(f\"Page {page_num+1} Layout\")\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n",
|
||
" \n",
|
||
" # Close the PDF document\n",
|
||
" pdf_document.close()\n",
|
||
"\n",
|
||
"# Install required package if needed\n",
|
||
"# !pip install pymupdf\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 100,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x1600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"visualize_layout(layout,2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 112,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/tmp/ipykernel_11922/1149237881.py:76: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all Axes decorations.\n",
|
||
" plt.tight_layout()\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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TSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACANJEUAAAAAEgTSQEAAACAtIWNHgBYP8vLy7OysrLRY7ytxcXF2bVr10aPAQAAACCSwnvV8vLy3HnnnXPq1KmNHuVtLSwszB133CGUAgAAABvOdnt4j1pZWTlrA+nMzKlTp87aVa4AAABAi0gKAAAAAKTZbg8xl1xyydxwww0zM7O6ujqHDx+eo0eP/p+Ovfrqq+eJJ56YmZmPf/zj86Mf/Wh++ctfrteoAAAAAO8KkRRCtm3bNp/5zGfmm9/85rz22mtz7rnnzgUXXPB/Pv6aa645HUm/973vrdeYAAAAAO8qkRRCrrjiinn22Wfntddem5mZ119/fd544405cODAnHPOOXP06NE5dOjQ7N+/fz75yU/OqVOnZvv27fPAAw/M7t27Z8+ePXPgwIF5/PHH57LLLpvvf//7s7S0NJ/73Odm586dc+LEibn//vvn3HPPnc9//vNz7NixufDCC+fhhx+eF154YWNvHgAAAOC/IZJCyI4dO+bVV19903evvPLKHDx4cGZmbr755tm9e/fMzGzdunW+8Y1vzN69e+fGG2+ce++9d37xi1+c/u1ll102MzNXXXXVHDt2bO6///752Mc+Ntdee+388Ic/nMXFxbnnnntmz549c/3114ukAAAAwFlLJIWQV1999XQE/U/nn3/+fOpTn5qtW7fOBRdcMDt27JiZmZdffnlmZpaWlmb79u3/7Tl37949P/3pT2dm5qWXXpoPf/jDMzPzs5/9bFZXV2d5eXm2bdu2HrcDAAAAcEZ4uz2EPPfcc3PllVeejp7ve9/75sYbb5wf/OAHc/DgwdNhdGbmAx/4wMzM7Nmz5/T2/NXV1bec85VXXpl9+/bNzMy+ffvmlVdeectvtmzZcsbvBQAAAOBMsZIUQo4fPz4PPvjgfOELX5iZtej5k5/8ZD796U/P0tLSm2Lm66+/Pl/60pfmvPPOmwceeGBmZl544YW5+eab56mnnjr9u2eeeWY++tGPzq233jonTpyY++67b84999x39b4AAAAA/j+2rL7d0jBg0zt69Ojcdddd7+jY/fv3zxVXXDGHDx8+w1O92e233z4XXXTRul4DAAAA4H9juz0AAAAAkGa7PfAWR44cmSNHjmz0GAAAAADvCitJAQAAAIA0kRQAAAAASBNJ4T1qcXFxFhbO3idqLCwszOLi4kaPAQAAAODt9vBetry8PCsrKxs9xttaXFycXbt2bfQYAAAAACIpAAAAANBmuz0AAAAAkCaSAgAAAABpIikAAAAAkCaSAgAAAABp/wE7wXUaMP0AYgAAAABJRU5ErkJggg==",
|
||
"text/plain": [
|
||
"<Figure size 1200x1600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import matplotlib.patches as patches\n",
|
||
"import numpy as np\n",
|
||
"import fitz # PyMuPDF\n",
|
||
"\n",
|
||
"def visualize_layout(layout, page_num=0):\n",
|
||
" # Get the PDF path used to generate the layout\n",
|
||
" pdf_path = \"/home/sepehr/dev/rag/document/04Extrait_Methodologie_Experimentale.pdf\"\n",
|
||
" \n",
|
||
" # Open the PDF and render the page as an image using PyMuPDF\n",
|
||
" pdf_document = fitz.open(pdf_path)\n",
|
||
" page = pdf_document[page_num]\n",
|
||
" \n",
|
||
" # Define zoom factor - used for both rendering and scaling coordinates\n",
|
||
" zoom_factor = 1\n",
|
||
" pix = page.get_pixmap(matrix=fitz.Matrix(zoom_factor, zoom_factor))\n",
|
||
" \n",
|
||
" # Convert to numpy array for matplotlib\n",
|
||
" img = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.h, pix.w, pix.n)\n",
|
||
" \n",
|
||
" # Create figure and axis\n",
|
||
" fig, ax = plt.subplots(1, figsize=(12, 16))\n",
|
||
" ax.imshow(img)\n",
|
||
" \n",
|
||
" # Define colors for different element types\n",
|
||
" colors = {'Title': 'red', 'Text': 'blue', 'Table': 'green', \n",
|
||
" 'Figure': 'orange', 'List': 'purple', 'Header': 'cyan',\n",
|
||
" 'Footer': 'magenta'}\n",
|
||
" \n",
|
||
" # Draw bounding boxes for elements\n",
|
||
" page_layout = layout.pages[page_num]\n",
|
||
" \n",
|
||
" for element in page_layout.elements:\n",
|
||
" if hasattr(element, 'bbox'):\n",
|
||
" if hasattr(element.bbox, 'x1'):\n",
|
||
" # Get coordinates from bbox\n",
|
||
" x = element.bbox.x1\n",
|
||
" y = element.bbox.y1\n",
|
||
" width = element.bbox.x2 - element.bbox.x1\n",
|
||
" height = element.bbox.y2 - element.bbox.y1\n",
|
||
" \n",
|
||
" # Scale coordinates to match the zoomed image\n",
|
||
" x *= zoom_factor\n",
|
||
" y *= zoom_factor\n",
|
||
" width *= zoom_factor\n",
|
||
" height *= zoom_factor\n",
|
||
" else:\n",
|
||
" x, y, x2, y2 = element.bbox\n",
|
||
" width = x2 - x\n",
|
||
" height = y2 - y\n",
|
||
" \n",
|
||
" # Scale coordinates\n",
|
||
" x *= zoom_factor\n",
|
||
" y *= zoom_factor\n",
|
||
" width *= zoom_factor\n",
|
||
" height *= zoom_factor\n",
|
||
" \n",
|
||
" elem_type = getattr(element, 'type', 'Unknown')\n",
|
||
" color = colors.get(elem_type, 'gray')\n",
|
||
" \n",
|
||
" # Draw rectangle\n",
|
||
" rect = patches.Rectangle((x, y), width, height, \n",
|
||
" linewidth=1, edgecolor=color, facecolor='none')\n",
|
||
" ax.add_patch(rect)\n",
|
||
" \n",
|
||
" # Add label with smaller font and better placement\n",
|
||
" plt.text(x, y-5, f\"{elem_type}\", color='white', \n",
|
||
" backgroundcolor=color, fontsize=6)\n",
|
||
" \n",
|
||
" # Add text preview if available\n",
|
||
" if hasattr(element, 'text') and element.text:\n",
|
||
" text_preview = element.text[:15] + \"...\" if len(element.text) > 15 else element.text\n",
|
||
" plt.text(x, y+height+5, text_preview, fontsize=6, color='black')\n",
|
||
" \n",
|
||
" plt.title(f\"Page {page_num+1} Layout\")\n",
|
||
" plt.tight_layout()\n",
|
||
" plt.show()\n",
|
||
" \n",
|
||
" # Close the PDF document\n",
|
||
" pdf_document.close()\n",
|
||
"\n",
|
||
"# To extract structured content\n",
|
||
"def extract_structured_content(layout):\n",
|
||
" document = []\n",
|
||
" \n",
|
||
" for page_idx, page in enumerate(layout.pages):\n",
|
||
" for element in page.elements:\n",
|
||
" if hasattr(element, 'text') and element.text:\n",
|
||
" document.append({\n",
|
||
" \"page\": page_idx + 1,\n",
|
||
" \"type\": getattr(element, 'type', 'Unknown'),\n",
|
||
" \"text\": element.text,\n",
|
||
" \"bbox\": {\n",
|
||
" \"x1\": element.bbox.x1,\n",
|
||
" \"y1\": element.bbox.y1, \n",
|
||
" \"x2\": element.bbox.x2,\n",
|
||
" \"y2\": element.bbox.y2\n",
|
||
" }\n",
|
||
" })\n",
|
||
" \n",
|
||
" return document\n",
|
||
"\n",
|
||
"# Visualize the layout\n",
|
||
"visualize_layout(layout,1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 108,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"True\n"
|
||
]
|
||
},
|
||
{
|
||
"ename": "AttributeError",
|
||
"evalue": "'Rectangle' object has no attribute 'x0'",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||
"\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[108]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m 2\u001b[39m element_type = element.bbox\n\u001b[32m 3\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mhasattr\u001b[39m(element, \u001b[33m'\u001b[39m\u001b[33mbbox\u001b[39m\u001b[33m'\u001b[39m))\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m \u001b[38;5;28mprint\u001b[39m(x = \u001b[43melement\u001b[49m\u001b[43m.\u001b[49m\u001b[43mbbox\u001b[49m\u001b[43m.\u001b[49m\u001b[43mx0\u001b[49m)\n",
|
||
"\u001b[31mAttributeError\u001b[39m: 'Rectangle' object has no attribute 'x0'"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"for element in list(page.elements):\n",
|
||
" element_type = element.bbox\n",
|
||
" print(hasattr(element, 'bbox'))\n",
|
||
" print(x = element.bbox.x0)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 52,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"INTRODUCTION AUX PLANS D’EXPERIENCES\n",
|
||
"INTERET DES PEX : RAPPELS STATISTIQUES\n",
|
||
"\n",
|
||
"a Distribution normale : courbe représentative = courbe de Gauss variable\n",
|
||
"aléatoire x distribuée normalement avec moyenne = X, écart type = cet\n",
|
||
"Variance : V = 0”\n",
|
||
"\n",
|
||
"9)\n",
|
||
"\n",
|
||
"Re x Bo\n",
|
||
"a Théoréme des variances : variables aléatoires x;, x2, ... X, indépendantes\n",
|
||
"+ relation yr sagt ayX; + aX. +t ot anXy\n",
|
||
"\n",
|
||
"= Variance de y~ — V(y~) = 0 + a V(x1) + ax V(X0)+.... + ay V(Xn)\n",
|
||
"\n",
|
||
"Exemple : X = moyenne de n valeurs de x; ® =In [xp txt... +x,]\n",
|
||
"> V(¥) = In? [V(x)) + V(x2) +... + V(X,)]\n",
|
||
"Si variances égales entre elles : V(x1) = V0) =... = VO&q) =\n",
|
||
"\n",
|
||
"=> V(X)= Ino? dou (o(X) = oy/ vn\n",
|
||
"\n",
|
||
"a ERREUR SUR LA MOYENNE = ERREUR SUR UNE MESURE DIVISEE PAR\n",
|
||
"RACINE CARRREE DE n.\n",
|
||
"\n",
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pytesseract \n",
|
||
"from PIL import Image\n",
|
||
"print(pytesseract.image_to_string(Image.open(filename)))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"elements = partition(filename=filename,\n",
|
||
" strategy=\"hi_res\",\n",
|
||
" hi_res_model_name=\"yolox\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"a Distribution normale : courbe représentative = courbe de Gauss variable aléatoire x distribuée normalement avec moyenne = X, écart type = cet Variance : V = 0”\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(elements[1])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "TypeError",
|
||
"evalue": "a bytes-like object is required, not 'Image'",
|
||
"output_type": "error",
|
||
"traceback": [
|
||
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
|
||
"\u001b[31mTypeError\u001b[39m Traceback (most recent call last)",
|
||
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[34]\u001b[39m\u001b[32m, line 6\u001b[39m\n\u001b[32m 4\u001b[39m \u001b[38;5;66;03m# Assuming element is an instance of unstructured.documents.elements.Image\u001b[39;00m\n\u001b[32m 5\u001b[39m image_data = element \u001b[38;5;66;03m# Convert the element to image data\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m6\u001b[39m image = Image.open(\u001b[43mio\u001b[49m\u001b[43m.\u001b[49m\u001b[43mBytesIO\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimage_data\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[32m 7\u001b[39m image.show()\n",
|
||
"\u001b[31mTypeError\u001b[39m: a bytes-like object is required, not 'Image'"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from PIL import Image\n",
|
||
"import io\n",
|
||
"\n",
|
||
"# Assuming element is an instance of unstructured.documents.elements.Image\n",
|
||
"image_data = element # Convert the element to image data\n",
|
||
"image = Image.open(io.BytesIO(image_data))\n",
|
||
"image.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'type': 'Image',\n",
|
||
" 'element_id': '68faf178bda657a69fc87460f25782c1',\n",
|
||
" 'text': '9) Re x Bo',\n",
|
||
" 'metadata': {'detection_class_prob': 0.820507287979126,\n",
|
||
" 'coordinates': {'points': ((99.514404296875, 233.28099060058594),\n",
|
||
" (99.514404296875, 533.5597534179688),\n",
|
||
" (651.2028198242188, 533.5597534179688),\n",
|
||
" (651.2028198242188, 233.28099060058594)),\n",
|
||
" 'system': 'PixelSpace',\n",
|
||
" 'layout_width': 761,\n",
|
||
" 'layout_height': 1096},\n",
|
||
" 'last_modified': '2025-03-01T11:08:55',\n",
|
||
" 'filetype': 'image/png',\n",
|
||
" 'languages': ['eng'],\n",
|
||
" 'page_number': 1,\n",
|
||
" 'file_directory': '/home/sepehr/dev/rag/document',\n",
|
||
" 'filename': 'test2.png'}}"
|
||
]
|
||
},
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"element.to_dict()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"elements = partition_image(\"example-docs/img/layout-parser-paper-fast.jpg\")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": ".venv",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.3"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|