Merge remote-tracking branch 'origin/main' into yangdx
This commit is contained in:
@@ -26,7 +26,7 @@ This repository hosts the code of LightRAG. The structure of this code is based
|
||||
</div>
|
||||
|
||||
## 🎉 News
|
||||
- [x] [2025.01.13]🎯📢Our team has launched [MiniRAG](https://github.com/HKUDS/MiniRAG) for small models.
|
||||
- [x] [2025.01.13]🎯📢Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models.
|
||||
- [x] [2025.01.06]🎯📢You can now [use PostgreSQL for Storage](#using-postgresql-for-storage).
|
||||
- [x] [2024.12.31]🎯📢LightRAG now supports [deletion by document ID](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#delete).
|
||||
- [x] [2024.11.25]🎯📢LightRAG now supports seamless integration of [custom knowledge graphs](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#insert-custom-kg), empowering users to enhance the system with their own domain expertise.
|
||||
|
@@ -9,7 +9,7 @@ from lightrag.llm import openai_complete_if_cache, ollama_embedding
|
||||
# from lightrag.llm import azure_openai_complete_if_cache, azure_openai_embedding
|
||||
|
||||
from lightrag.utils import EmbeddingFunc
|
||||
from typing import Optional, List
|
||||
from typing import Optional, List, Union
|
||||
from enum import Enum
|
||||
from pathlib import Path
|
||||
import shutil
|
||||
@@ -22,6 +22,7 @@ from fastapi.security import APIKeyHeader
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
from starlette.status import HTTP_403_FORBIDDEN
|
||||
import pipmaster as pm
|
||||
|
||||
from dotenv import load_dotenv
|
||||
load_dotenv()
|
||||
@@ -189,7 +190,11 @@ def parse_args():
|
||||
class DocumentManager:
|
||||
"""Handles document operations and tracking"""
|
||||
|
||||
def __init__(self, input_dir: str, supported_extensions: tuple = (".txt", ".md")):
|
||||
def __init__(
|
||||
self,
|
||||
input_dir: str,
|
||||
supported_extensions: tuple = (".txt", ".md", ".pdf", ".docx", ".pptx"),
|
||||
):
|
||||
self.input_dir = Path(input_dir)
|
||||
self.supported_extensions = supported_extensions
|
||||
self.indexed_files = set()
|
||||
@@ -304,7 +309,7 @@ def create_app(args):
|
||||
+ "(With authentication)"
|
||||
if api_key
|
||||
else "",
|
||||
version="1.0.1",
|
||||
version="1.0.2",
|
||||
openapi_tags=[{"name": "api"}],
|
||||
)
|
||||
|
||||
@@ -339,6 +344,80 @@ def create_app(args):
|
||||
),
|
||||
)
|
||||
|
||||
async def index_file(file_path: Union[str, Path]) -> None:
|
||||
"""Index all files inside the folder with support for multiple file formats
|
||||
|
||||
Args:
|
||||
file_path: Path to the file to be indexed (str or Path object)
|
||||
|
||||
Raises:
|
||||
ValueError: If file format is not supported
|
||||
FileNotFoundError: If file doesn't exist
|
||||
"""
|
||||
if not pm.is_installed("aiofiles"):
|
||||
pm.install("aiofiles")
|
||||
|
||||
# Convert to Path object if string
|
||||
file_path = Path(file_path)
|
||||
|
||||
# Check if file exists
|
||||
if not file_path.exists():
|
||||
raise FileNotFoundError(f"File not found: {file_path}")
|
||||
|
||||
content = ""
|
||||
# Get file extension in lowercase
|
||||
ext = file_path.suffix.lower()
|
||||
|
||||
match ext:
|
||||
case ".txt" | ".md":
|
||||
# Text files handling
|
||||
async with aiofiles.open(file_path, "r", encoding="utf-8") as f:
|
||||
content = await f.read()
|
||||
|
||||
case ".pdf":
|
||||
if not pm.is_installed("pypdf2"):
|
||||
pm.install("pypdf2")
|
||||
from pypdf2 import PdfReader
|
||||
|
||||
# PDF handling
|
||||
reader = PdfReader(str(file_path))
|
||||
content = ""
|
||||
for page in reader.pages:
|
||||
content += page.extract_text() + "\n"
|
||||
|
||||
case ".docx":
|
||||
if not pm.is_installed("docx"):
|
||||
pm.install("docx")
|
||||
from docx import Document
|
||||
|
||||
# Word document handling
|
||||
doc = Document(file_path)
|
||||
content = "\n".join([paragraph.text for paragraph in doc.paragraphs])
|
||||
|
||||
case ".pptx":
|
||||
if not pm.is_installed("pptx"):
|
||||
pm.install("pptx")
|
||||
from pptx import Presentation
|
||||
|
||||
# PowerPoint handling
|
||||
prs = Presentation(file_path)
|
||||
content = ""
|
||||
for slide in prs.slides:
|
||||
for shape in slide.shapes:
|
||||
if hasattr(shape, "text"):
|
||||
content += shape.text + "\n"
|
||||
|
||||
case _:
|
||||
raise ValueError(f"Unsupported file format: {ext}")
|
||||
|
||||
# Insert content into RAG system
|
||||
if content:
|
||||
await rag.ainsert(content)
|
||||
doc_manager.mark_as_indexed(file_path)
|
||||
logging.info(f"Successfully indexed file: {file_path}")
|
||||
else:
|
||||
logging.warning(f"No content extracted from file: {file_path}")
|
||||
|
||||
@app.on_event("startup")
|
||||
async def startup_event():
|
||||
"""Index all files in input directory during startup"""
|
||||
@@ -346,13 +425,7 @@ def create_app(args):
|
||||
new_files = doc_manager.scan_directory()
|
||||
for file_path in new_files:
|
||||
try:
|
||||
# Use async file reading
|
||||
async with aiofiles.open(file_path, "r", encoding="utf-8") as f:
|
||||
content = await f.read()
|
||||
# Use the async version of insert directly
|
||||
await rag.ainsert(content)
|
||||
doc_manager.mark_as_indexed(file_path)
|
||||
logging.info(f"Indexed file: {file_path}")
|
||||
await index_file(file_path)
|
||||
except Exception as e:
|
||||
trace_exception(e)
|
||||
logging.error(f"Error indexing file {file_path}: {str(e)}")
|
||||
@@ -371,11 +444,8 @@ def create_app(args):
|
||||
|
||||
for file_path in new_files:
|
||||
try:
|
||||
with open(file_path, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
await rag.ainsert(content)
|
||||
doc_manager.mark_as_indexed(file_path)
|
||||
indexed_count += 1
|
||||
await index_file(file_path)
|
||||
indexed_count += 1
|
||||
except Exception as e:
|
||||
logging.error(f"Error indexing file {file_path}: {str(e)}")
|
||||
|
||||
@@ -402,10 +472,7 @@ def create_app(args):
|
||||
shutil.copyfileobj(file.file, buffer)
|
||||
|
||||
# Immediately index the uploaded file
|
||||
with open(file_path, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
await rag.ainsert(content)
|
||||
doc_manager.mark_as_indexed(file_path)
|
||||
await index_file(file_path)
|
||||
|
||||
return {
|
||||
"status": "success",
|
||||
@@ -481,26 +548,103 @@ def create_app(args):
|
||||
dependencies=[Depends(optional_api_key)],
|
||||
)
|
||||
async def insert_file(file: UploadFile = File(...), description: str = Form(None)):
|
||||
try:
|
||||
content = await file.read()
|
||||
"""Insert a file directly into the RAG system
|
||||
|
||||
if file.filename.endswith((".txt", ".md")):
|
||||
text = content.decode("utf-8")
|
||||
await rag.ainsert(text)
|
||||
Args:
|
||||
file: Uploaded file
|
||||
description: Optional description of the file
|
||||
|
||||
Returns:
|
||||
InsertResponse: Status of the insertion operation
|
||||
|
||||
Raises:
|
||||
HTTPException: For unsupported file types or processing errors
|
||||
"""
|
||||
try:
|
||||
content = ""
|
||||
# Get file extension in lowercase
|
||||
ext = Path(file.filename).suffix.lower()
|
||||
|
||||
match ext:
|
||||
case ".txt" | ".md":
|
||||
# Text files handling
|
||||
text_content = await file.read()
|
||||
content = text_content.decode("utf-8")
|
||||
|
||||
case ".pdf":
|
||||
if not pm.is_installed("pypdf2"):
|
||||
pm.install("pypdf2")
|
||||
from pypdf2 import PdfReader
|
||||
from io import BytesIO
|
||||
|
||||
# Read PDF from memory
|
||||
pdf_content = await file.read()
|
||||
pdf_file = BytesIO(pdf_content)
|
||||
reader = PdfReader(pdf_file)
|
||||
content = ""
|
||||
for page in reader.pages:
|
||||
content += page.extract_text() + "\n"
|
||||
|
||||
case ".docx":
|
||||
if not pm.is_installed("docx"):
|
||||
pm.install("docx")
|
||||
from docx import Document
|
||||
from io import BytesIO
|
||||
|
||||
# Read DOCX from memory
|
||||
docx_content = await file.read()
|
||||
docx_file = BytesIO(docx_content)
|
||||
doc = Document(docx_file)
|
||||
content = "\n".join(
|
||||
[paragraph.text for paragraph in doc.paragraphs]
|
||||
)
|
||||
|
||||
case ".pptx":
|
||||
if not pm.is_installed("pptx"):
|
||||
pm.install("pptx")
|
||||
from pptx import Presentation
|
||||
from io import BytesIO
|
||||
|
||||
# Read PPTX from memory
|
||||
pptx_content = await file.read()
|
||||
pptx_file = BytesIO(pptx_content)
|
||||
prs = Presentation(pptx_file)
|
||||
content = ""
|
||||
for slide in prs.slides:
|
||||
for shape in slide.shapes:
|
||||
if hasattr(shape, "text"):
|
||||
content += shape.text + "\n"
|
||||
|
||||
case _:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=f"Unsupported file type. Supported types: {doc_manager.supported_extensions}",
|
||||
)
|
||||
|
||||
# Insert content into RAG system
|
||||
if content:
|
||||
# Add description if provided
|
||||
if description:
|
||||
content = f"{description}\n\n{content}"
|
||||
|
||||
await rag.ainsert(content)
|
||||
logging.info(f"Successfully indexed file: {file.filename}")
|
||||
|
||||
return InsertResponse(
|
||||
status="success",
|
||||
message=f"File '{file.filename}' successfully inserted",
|
||||
document_count=1,
|
||||
)
|
||||
else:
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail="Unsupported file type. Only .txt and .md files are supported",
|
||||
detail="No content could be extracted from the file",
|
||||
)
|
||||
|
||||
return InsertResponse(
|
||||
status="success",
|
||||
message=f"File '{file.filename}' successfully inserted",
|
||||
document_count=1,
|
||||
)
|
||||
except UnicodeDecodeError:
|
||||
raise HTTPException(status_code=400, detail="File encoding not supported")
|
||||
except Exception as e:
|
||||
logging.error(f"Error processing file {file.filename}: {str(e)}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.post(
|
||||
@@ -509,32 +653,110 @@ def create_app(args):
|
||||
dependencies=[Depends(optional_api_key)],
|
||||
)
|
||||
async def insert_batch(files: List[UploadFile] = File(...)):
|
||||
"""Process multiple files in batch mode
|
||||
|
||||
Args:
|
||||
files: List of files to process
|
||||
|
||||
Returns:
|
||||
InsertResponse: Status of the batch insertion operation
|
||||
|
||||
Raises:
|
||||
HTTPException: For processing errors
|
||||
"""
|
||||
try:
|
||||
inserted_count = 0
|
||||
failed_files = []
|
||||
|
||||
for file in files:
|
||||
try:
|
||||
content = await file.read()
|
||||
if file.filename.endswith((".txt", ".md")):
|
||||
text = content.decode("utf-8")
|
||||
await rag.ainsert(text)
|
||||
content = ""
|
||||
ext = Path(file.filename).suffix.lower()
|
||||
|
||||
match ext:
|
||||
case ".txt" | ".md":
|
||||
text_content = await file.read()
|
||||
content = text_content.decode("utf-8")
|
||||
|
||||
case ".pdf":
|
||||
if not pm.is_installed("pypdf2"):
|
||||
pm.install("pypdf2")
|
||||
from pypdf2 import PdfReader
|
||||
from io import BytesIO
|
||||
|
||||
pdf_content = await file.read()
|
||||
pdf_file = BytesIO(pdf_content)
|
||||
reader = PdfReader(pdf_file)
|
||||
for page in reader.pages:
|
||||
content += page.extract_text() + "\n"
|
||||
|
||||
case ".docx":
|
||||
if not pm.is_installed("docx"):
|
||||
pm.install("docx")
|
||||
from docx import Document
|
||||
from io import BytesIO
|
||||
|
||||
docx_content = await file.read()
|
||||
docx_file = BytesIO(docx_content)
|
||||
doc = Document(docx_file)
|
||||
content = "\n".join(
|
||||
[paragraph.text for paragraph in doc.paragraphs]
|
||||
)
|
||||
|
||||
case ".pptx":
|
||||
if not pm.is_installed("pptx"):
|
||||
pm.install("pptx")
|
||||
from pptx import Presentation
|
||||
from io import BytesIO
|
||||
|
||||
pptx_content = await file.read()
|
||||
pptx_file = BytesIO(pptx_content)
|
||||
prs = Presentation(pptx_file)
|
||||
for slide in prs.slides:
|
||||
for shape in slide.shapes:
|
||||
if hasattr(shape, "text"):
|
||||
content += shape.text + "\n"
|
||||
|
||||
case _:
|
||||
failed_files.append(f"{file.filename} (unsupported type)")
|
||||
continue
|
||||
|
||||
if content:
|
||||
await rag.ainsert(content)
|
||||
inserted_count += 1
|
||||
logging.info(f"Successfully indexed file: {file.filename}")
|
||||
else:
|
||||
failed_files.append(f"{file.filename} (unsupported type)")
|
||||
failed_files.append(f"{file.filename} (no content extracted)")
|
||||
|
||||
except UnicodeDecodeError:
|
||||
failed_files.append(f"{file.filename} (encoding error)")
|
||||
except Exception as e:
|
||||
failed_files.append(f"{file.filename} ({str(e)})")
|
||||
logging.error(f"Error processing file {file.filename}: {str(e)}")
|
||||
|
||||
status_message = f"Successfully inserted {inserted_count} documents"
|
||||
if failed_files:
|
||||
status_message += f". Failed files: {', '.join(failed_files)}"
|
||||
# Prepare status message
|
||||
if inserted_count == len(files):
|
||||
status = "success"
|
||||
status_message = f"Successfully inserted all {inserted_count} documents"
|
||||
elif inserted_count > 0:
|
||||
status = "partial_success"
|
||||
status_message = f"Successfully inserted {inserted_count} out of {len(files)} documents"
|
||||
if failed_files:
|
||||
status_message += f". Failed files: {', '.join(failed_files)}"
|
||||
else:
|
||||
status = "failure"
|
||||
status_message = "No documents were successfully inserted"
|
||||
if failed_files:
|
||||
status_message += f". Failed files: {', '.join(failed_files)}"
|
||||
|
||||
return InsertResponse(
|
||||
status="success" if inserted_count > 0 else "partial_success",
|
||||
status=status,
|
||||
message=status_message,
|
||||
document_count=len(files),
|
||||
document_count=inserted_count,
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Batch processing error: {str(e)}")
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.delete(
|
||||
|
@@ -7,6 +7,7 @@ nest_asyncio
|
||||
numpy
|
||||
ollama
|
||||
openai
|
||||
pipmaster
|
||||
python-dotenv
|
||||
python-multipart
|
||||
tenacity
|
||||
|
Reference in New Issue
Block a user