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c96b98a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 | from pathlib import Path
from typing import List, Union, IO, Any
from phi.document.base import Document
from phi.document.reader.base import Reader
from phi.utils.log import logger
class PDFReader(Reader):
"""Reader for PDF files"""
def read(self, pdf: Union[str, Path, IO[Any]]) -> List[Document]:
if not pdf:
raise ValueError("No pdf provided")
try:
from pypdf import PdfReader as DocumentReader # noqa: F401
except ImportError:
raise ImportError("`pypdf` not installed")
doc_name = ""
try:
if isinstance(pdf, str):
doc_name = pdf.split("/")[-1].split(".")[0].replace(" ", "_")
else:
doc_name = pdf.name.split(".")[0]
except Exception:
doc_name = "pdf"
logger.info(f"Reading: {doc_name}")
doc_reader = DocumentReader(pdf)
documents = [
Document(
name=doc_name,
id=f"{doc_name}_{page_number}",
meta_data={"page": page_number},
content=page.extract_text(),
)
for page_number, page in enumerate(doc_reader.pages, start=1)
]
if self.chunk:
chunked_documents = []
for document in documents:
chunked_documents.extend(self.chunk_document(document))
return chunked_documents
return documents
class PDFUrlReader(Reader):
"""Reader for PDF files from URL"""
def read(self, url: str) -> List[Document]:
if not url:
raise ValueError("No url provided")
from io import BytesIO
try:
import httpx
except ImportError:
raise ImportError("`httpx` not installed")
try:
from pypdf import PdfReader as DocumentReader # noqa: F401
except ImportError:
raise ImportError("`pypdf` not installed")
logger.info(f"Reading: {url}")
response = httpx.get(url)
try:
response.raise_for_status()
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error occurred: {e.response.status_code} - {e.response.text}")
raise
doc_name = url.split("/")[-1].split(".")[0].replace("/", "_").replace(" ", "_")
doc_reader = DocumentReader(BytesIO(response.content))
documents = [
Document(
name=doc_name,
id=f"{doc_name}_{page_number}",
meta_data={"page": page_number},
content=page.extract_text(),
)
for page_number, page in enumerate(doc_reader.pages, start=1)
]
if self.chunk:
chunked_documents = []
for document in documents:
chunked_documents.extend(self.chunk_document(document))
return chunked_documents
return documents
class PDFImageReader(Reader):
"""Reader for PDF files with text and images extraction"""
def read(self, pdf: Union[str, Path, IO[Any]]) -> List[Document]:
if not pdf:
raise ValueError("No pdf provided")
try:
import rapidocr_onnxruntime as rapidocr
from pypdf import PdfReader as DocumentReader # noqa: F401
except ImportError:
raise ImportError("`pypdf` or `rapidocr_onnxruntime` not installed")
doc_name = ""
try:
if isinstance(pdf, str):
doc_name = pdf.split("/")[-1].split(".")[0].replace(" ", "_")
else:
doc_name = pdf.name.split(".")[0]
except Exception:
doc_name = "pdf"
logger.info(f"Reading: {doc_name}")
doc_reader = DocumentReader(pdf)
# Initialize RapidOCR
ocr = rapidocr.RapidOCR()
documents = []
for page_number, page in enumerate(doc_reader.pages, start=1):
page_text = page.extract_text() or ""
images_text_list: List = []
for image_object in page.images:
image_data = image_object.data
# Perform OCR on the image
ocr_result, elapse = ocr(image_data)
# Extract text from OCR result
if ocr_result:
images_text_list += [item[1] for item in ocr_result]
images_text: str = "\n".join(images_text_list)
content = page_text + "\n" + images_text
documents.append(
Document(
name=doc_name,
id=f"{doc_name}_{page_number}",
meta_data={"page": page_number},
content=content,
)
)
if self.chunk:
chunked_documents = []
for document in documents:
chunked_documents.extend(self.chunk_document(document))
return chunked_documents
return documents
class PDFUrlImageReader(Reader):
"""Reader for PDF files from URL with text and images extraction"""
def read(self, url: str) -> List[Document]:
if not url:
raise ValueError("No url provided")
from io import BytesIO
try:
import httpx
from pypdf import PdfReader as DocumentReader
import rapidocr_onnxruntime as rapidocr
except ImportError:
raise ImportError("`httpx`, `pypdf` or `rapidocr_onnxruntime` not installed")
# Read the PDF from the URL
logger.info(f"Reading: {url}")
response = httpx.get(url)
doc_name = url.split("/")[-1].split(".")[0].replace(" ", "_")
doc_reader = DocumentReader(BytesIO(response.content))
# Initialize RapidOCR
ocr = rapidocr.RapidOCR()
# Process each page of the PDF
documents = []
for page_number, page in enumerate(doc_reader.pages, start=1):
page_text = page.extract_text() or ""
images_text_list = []
# Extract and process images
for image_object in page.images:
image_data = image_object.data
# Perform OCR on the image
ocr_result, elapse = ocr(image_data)
# Extract text from OCR result
if ocr_result:
images_text_list += [item[1] for item in ocr_result]
images_text = "\n".join(images_text_list)
content = page_text + "\n" + images_text
# Append the document
documents.append(
Document(
name=doc_name,
id=f"{doc_name}_{page_number}",
meta_data={"page": page_number},
content=content,
)
)
# Optionally chunk documents
if self.chunk:
chunked_documents = []
for document in documents:
chunked_documents.extend(self.chunk_document(document))
return chunked_documents
return documents
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