import tempfile
from pathlib import Path
from typing import List, Union, Optional
import requests
from flask import current_app
from langchain.document_loaders import TextLoader, Docx2txtLoader
from langchain.schema import Document
from core.data_loader.loader.csv_loader import CSVLoader
from core.data_loader.loader.excel import ExcelLoader
from core.data_loader.loader.html import HTMLLoader
from core.data_loader.loader.markdown import MarkdownLoader
from core.data_loader.loader.pdf import PdfLoader
from core.data_loader.loader.unstructured.unstructured_eml import UnstructuredEmailLoader
from core.data_loader.loader.unstructured.unstructured_markdown import UnstructuredMarkdownLoader
from core.data_loader.loader.unstructured.unstructured_msg import UnstructuredMsgLoader
from core.data_loader.loader.unstructured.unstructured_ppt import UnstructuredPPTLoader
from core.data_loader.loader.unstructured.unstructured_pptx import UnstructuredPPTXLoader
from core.data_loader.loader.unstructured.unstructured_text import UnstructuredTextLoader
from core.data_loader.loader.unstructured.unstructured_xml import UnstructuredXmlLoader
from extensions.ext_storage import storage
from models.model import UploadFile
SUPPORT_URL_CONTENT_TYPES = ['application/pdf', 'text/plain']
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
class FileExtractor:
@classmethod
def load(cls, upload_file: UploadFile, return_text: bool = False, is_automatic: bool = False) -> Union[List[Document] | str]:
with tempfile.TemporaryDirectory() as temp_dir:
suffix = Path(upload_file.key).suffix
file_path = f"{temp_dir}/{next(tempfile._get_candidate_names())}{suffix}"
storage.download(upload_file.key, file_path)
return cls.load_from_file(file_path, return_text, upload_file, is_automatic)
@classmethod
def load_from_url(cls, url: str, return_text: bool = False) -> Union[List[Document] | str]:
response = requests.get(url, headers={
"User-Agent": USER_AGENT
})
with tempfile.TemporaryDirectory() as temp_dir:
suffix = Path(url).suffix
file_path = f"{temp_dir}/{next(tempfile._get_candidate_names())}{suffix}"
with open(file_path, 'wb') as file:
file.write(response.content)
return cls.load_from_file(file_path, return_text)
@classmethod
def load_from_file(cls, file_path: str, return_text: bool = False,
upload_file: Optional[UploadFile] = None,
is_automatic: bool = False) -> Union[List[Document] | str]:
input_file = Path(file_path)
delimiter = '\n'
file_extension = input_file.suffix.lower()
etl_type = current_app.config['ETL_TYPE']
unstructured_api_url = current_app.config['UNSTRUCTURED_API_URL']
if etl_type == 'Unstructured':
if file_extension == '.xlsx':
loader = ExcelLoader(file_path)
elif file_extension == '.pdf':
loader = PdfLoader(file_path, upload_file=upload_file)
elif file_extension in ['.md', '.markdown']:
loader = UnstructuredMarkdownLoader(file_path, unstructured_api_url) if is_automatic \
else MarkdownLoader(file_path, autodetect_encoding=True)
elif file_extension in ['.htm', '.html']:
loader = HTMLLoader(file_path)
elif file_extension == '.docx':
loader = Docx2txtLoader(file_path)
elif file_extension == '.csv':
loader = CSVLoader(file_path, autodetect_encoding=True)
elif file_extension == '.msg':
loader = UnstructuredMsgLoader(file_path, unstructured_api_url)
elif file_extension == '.eml':
loader = UnstructuredEmailLoader(file_path, unstructured_api_url)
elif file_extension == '.ppt':
loader = UnstructuredPPTLoader(file_path, unstructured_api_url)
elif file_extension == '.pptx':
loader = UnstructuredPPTXLoader(file_path, unstructured_api_url)
elif file_extension == '.xml':
loader = UnstructuredXmlLoader(file_path, unstructured_api_url)
else:
# txt
loader = UnstructuredTextLoader(file_path, unstructured_api_url) if is_automatic \
else TextLoader(file_path, autodetect_encoding=True)
else:
if file_extension == '.xlsx':
loader = ExcelLoader(file_path)
elif file_extension == '.pdf':
loader = PdfLoader(file_path, upload_file=upload_file)
elif file_extension in ['.md', '.markdown']:
loader = MarkdownLoader(file_path, autodetect_encoding=True)
elif file_extension in ['.htm', '.html']:
loader = HTMLLoader(file_path)
elif file_extension == '.docx':
loader = Docx2txtLoader(file_path)
elif file_extension == '.csv':
loader = CSVLoader(file_path, autodetect_encoding=True)
else:
# txt
loader = TextLoader(file_path, autodetect_encoding=True)
return delimiter.join([document.page_content for document in loader.load()]) if return_text else loader.load()