add /file-to-text api

backend-python/main.py

@@ -2,7 +2,7 @@ import time
 
 start_time = time.time()
 
-import setuptools # avoid warnings
+import setuptools  # avoid warnings
 import os
 import sys
 import argparse
@@ -20,7 +20,7 @@ from utils.rwkv import *
 from utils.torch import *
 from utils.ngrok import *
 from utils.log import log_middleware
-from routes import completion, config, state_cache, midi, misc
+from routes import completion, config, state_cache, midi, misc, file_process
 import global_var
 
 
@@ -43,6 +43,7 @@ app.add_middleware(
 app.include_router(completion.router)
 app.include_router(config.router)
 app.include_router(midi.router)
+app.include_router(file_process.router)
 app.include_router(misc.router)
 app.include_router(state_cache.router)
 

backend-python/routes/file_process.py

@@ -0,0 +1,74 @@
+import os
+from fastapi import (
+    APIRouter,
+    HTTPException,
+    status,
+    Depends,
+    File,
+    UploadFile,
+)
+from pydantic import BaseModel
+from typing import Iterator
+
+router = APIRouter()
+
+
+class FileToTextParams(BaseModel):
+    file_name: str
+    file_encoding: str = "utf-8"
+
+
+@router.post("/file-to-text", tags=["File Process"])
+async def file_to_text(
+    params: FileToTextParams = Depends(), file_data: UploadFile = File(...)
+):
+    from langchain.schema import Document
+    from langchain.document_loaders.blob_loaders import Blob
+
+    # from langchain
+    def parse_text(blob: Blob) -> Iterator[Document]:
+        yield Document(page_content=blob.as_string(), metadata={"source": blob.source})
+
+    # from langchain
+    def parse_pdf(blob: Blob) -> Iterator[Document]:
+        import fitz
+
+        with blob.as_bytes_io() as stream:
+            doc = fitz.Document(stream=stream)
+
+            yield from [
+                Document(
+                    page_content=page.get_text(),
+                    metadata=dict(
+                        {
+                            "source": blob.source,
+                            "file_path": blob.source,
+                            "page": page.number,
+                            "total_pages": len(doc),
+                        },
+                        **{
+                            k: doc.metadata[k]
+                            for k in doc.metadata
+                            if type(doc.metadata[k]) in [str, int]
+                        },
+                    ),
+                )
+                for page in doc
+            ]
+
+    file_parsers = {".txt": parse_text, ".pdf": parse_pdf}
+
+    file_ext = os.path.splitext(params.file_name)[-1]
+
+    if file_ext not in file_parsers:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "file type not supported")
+
+    pages: Iterator[Document] = file_parsers[file_ext](
+        Blob.from_data(
+            await file_data.read(),
+            encoding=params.file_encoding,
+            path=params.file_name,
+        )
+    )
+
+    return {"pages": pages}