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import os
from typing import List
import PyPDF2
import concurrent.futures
import logging
# Configure logging
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
class TextFileLoader:
def __init__(self, path: str, encoding: str = "utf-8"):
self.documents = []
self.path = path
self.encoding = encoding
def load(self):
if os.path.isdir(self.path):
self.load_directory()
elif os.path.isfile(self.path) and self.path.endswith(".txt"):
self.load_file()
else:
raise ValueError(
"Provided path is neither a valid directory nor a .txt file."
)
def load_file(self):
with open(self.path, "r", encoding=self.encoding) as f:
self.documents.append(f.read())
def load_directory(self):
for root, _, files in os.walk(self.path):
for file in files:
if file.endswith(".txt"):
with open(
os.path.join(root, file), "r", encoding=self.encoding
) as f:
self.documents.append(f.read())
def load_documents(self):
self.load()
return self.documents
class CharacterTextSplitter:
def __init__(
self,
chunk_size: int = 1000,
chunk_overlap: int = 200,
max_workers: int = 4
):
assert (
chunk_size > chunk_overlap
), "Chunk size must be greater than chunk overlap"
self.chunk_size = chunk_size
self.chunk_overlap = chunk_overlap
self.max_workers = max_workers
def split(self, text: str) -> List[str]:
chunks = []
for i in range(0, len(text), self.chunk_size - self.chunk_overlap):
chunks.append(text[i : i + self.chunk_size])
return chunks
def split_texts(self, texts: List[str]) -> List[str]:
logger.info(f"Splitting {len(texts)} texts in parallel with {self.max_workers} workers")
chunks = []
# Use parallel processing if there are multiple texts or large single text
if len(texts) > 1 or (len(texts) == 1 and len(texts[0]) > 50000):
with concurrent.futures.ThreadPoolExecutor(max_workers=self.max_workers) as executor:
# Map the split function to the list of texts
future_to_text = {executor.submit(self.split, text): text for text in texts}
# Collect results as they complete
for future in concurrent.futures.as_completed(future_to_text):
try:
text_chunks = future.result()
chunks.extend(text_chunks)
logger.info(f"Processed text chunk batch: {len(text_chunks)} chunks")
except Exception as e:
logger.error(f"Error processing text chunk: {str(e)}")
else:
# For small amounts of text, process sequentially
for text in texts:
chunks.extend(self.split(text))
logger.info(f"Completed splitting texts into {len(chunks)} chunks")
return chunks
class PDFLoader:
def __init__(self, path: str):
self.documents = []
self.path = path
print(f"PDFLoader initialized with path: {self.path}")
def load(self):
print(f"Loading PDF from path: {self.path}")
print(f"Path exists: {os.path.exists(self.path)}")
print(f"Is file: {os.path.isfile(self.path)}")
print(f"Is directory: {os.path.isdir(self.path)}")
print(f"File permissions: {oct(os.stat(self.path).st_mode)[-3:]}")
try:
# Try to open the file first to verify access
with open(self.path, 'rb') as test_file:
pass
# If we can open it, proceed with loading
self.load_file()
except IOError as e:
raise ValueError(f"Cannot access file at '{self.path}': {str(e)}")
except Exception as e:
raise ValueError(f"Error processing file at '{self.path}': {str(e)}")
def load_file(self):
with open(self.path, 'rb') as file:
# Create PDF reader object
pdf_reader = PyPDF2.PdfReader(file)
# Extract text from each page
text = ""
for page in pdf_reader.pages:
text += page.extract_text() + "\n"
self.documents.append(text)
def load_directory(self):
for root, _, files in os.walk(self.path):
for file in files:
if file.lower().endswith('.pdf'):
file_path = os.path.join(root, file)
with open(file_path, 'rb') as f:
pdf_reader = PyPDF2.PdfReader(f)
# Extract text from each page
text = ""
for page in pdf_reader.pages:
text += page.extract_text() + "\n"
self.documents.append(text)
def load_documents(self):
self.load()
return self.documents
if __name__ == "__main__":
loader = TextFileLoader("data/KingLear.txt")
loader.load()
splitter = CharacterTextSplitter()
chunks = splitter.split_texts(loader.documents)
print(len(chunks))
print(chunks[0])
print("--------")
print(chunks[1])
print("--------")
print(chunks[-2])
print("--------")
print(chunks[-1])
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