refac: file upload

backend/apps/rag/main.py

@@ -55,6 +55,9 @@ from apps.webui.models.documents import (
     DocumentForm,
     DocumentResponse,
 )
+from apps.webui.models.files import (
+    Files,
+)
 
 from apps.rag.utils import (
     get_model_path,
@@ -1131,6 +1134,57 @@ def store_doc(
             )
 
 
+class ProcessDocForm(BaseModel):
+    file_id: str
+
+
+@app.post("/process/doc")
+def process_doc(
+    form_data: ProcessDocForm,
+    user=Depends(get_current_user),
+):
+    try:
+        file = Files.get_file_by_id(form_data.file_id)
+        file_path = file.meta.get("path", f"{UPLOAD_DIR}/{file.filename}")
+
+        f = open(file_path, "rb")
+        if collection_name == None:
+            collection_name = calculate_sha256(f)[:63]
+        f.close()
+
+        loader, known_type = get_loader(
+            file.filename, file.meta.get("content_type"), file_path
+        )
+        data = loader.load()
+
+        try:
+            result = store_data_in_vector_db(data, collection_name)
+
+            if result:
+                return {
+                    "status": True,
+                    "collection_name": collection_name,
+                    "known_type": known_type,
+                }
+        except Exception as e:
+            raise HTTPException(
+                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+                detail=e,
+            )
+    except Exception as e:
+        log.exception(e)
+        if "No pandoc was found" in str(e):
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=ERROR_MESSAGES.PANDOC_NOT_INSTALLED,
+            )
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=ERROR_MESSAGES.DEFAULT(e),
+            )
+
+
 class TextRAGForm(BaseModel):
     name: str
     content: str

backend/apps/webui/routers/files.py

@@ -61,7 +61,18 @@ def upload_file(
             f.close()
 
         file = Files.insert_new_file(
-            user.id, FileForm(**{"id": id, "filename": filename})
+            user.id,
+            FileForm(
+                **{
+                    "id": id,
+                    "filename": filename,
+                    "meta": {
+                        "content_type": file.content_type,
+                        "size": len(contents),
+                        "path": file_path,
+                    },
+                }
+            ),
         )
 
         if file:

src/lib/apis/files/index.ts

@@ -0,0 +1,125 @@
+import { WEBUI_API_BASE_URL } from '$lib/constants';
+
+export const uploadFile = async (token: string, file: File) => {
+	const data = new FormData();
+	data.append('file', file);
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/files/`, {
+		method: 'POST',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			authorization: `Bearer ${token}`
+		},
+		body: data
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.log(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
+export const getFiles = async (token: string = '') => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/files/`, {
+		method: 'GET',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			authorization: `Bearer ${token}`
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.then((json) => {
+			return json;
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.log(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
+export const getFileById = async (token: string, id: string) => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}`, {
+		method: 'GET',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			authorization: `Bearer ${token}`
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.then((json) => {
+			return json;
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.log(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
+export const deleteFileById = async (token: string, id: string) => {
+	let error = null;
+
+	const res = await fetch(`${WEBUI_API_BASE_URL}/files/${id}`, {
+		method: 'DELETE',
+		headers: {
+			Accept: 'application/json',
+			'Content-Type': 'application/json',
+			authorization: `Bearer ${token}`
+		}
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.then((json) => {
+			return json;
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.log(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};

src/lib/apis/rag/index.ts

@@ -164,6 +164,36 @@ export const updateQuerySettings = async (token: string, settings: QuerySettings
 	return res;
 };
 
+export const processDocToVectorDB = async (token: string, file_id: string) => {
+	let error = null;
+
+	const res = await fetch(`${RAG_API_BASE_URL}/process/doc`, {
+		method: 'POST',
+		headers: {
+			Accept: 'application/json',
+			authorization: `Bearer ${token}`
+		},
+		body: JSON.stringify({
+			file_id: file_id
+		})
+	})
+		.then(async (res) => {
+			if (!res.ok) throw await res.json();
+			return res.json();
+		})
+		.catch((err) => {
+			error = err.detail;
+			console.log(err);
+			return null;
+		});
+
+	if (error) {
+		throw error;
+	}
+
+	return res;
+};
+
 export const uploadDocToVectorDB = async (token: string, collection_name: string, file: File) => {
 	const data = new FormData();
 	data.append('file', file);

src/lib/components/chat/MessageInput.svelte

@@ -15,10 +15,13 @@
 	import { blobToFile, calculateSHA256, findWordIndices } from '$lib/utils';
 
 	import {
+		processDocToVectorDB,
 		uploadDocToVectorDB,
 		uploadWebToVectorDB,
 		uploadYoutubeTranscriptionToVectorDB
 	} from '$lib/apis/rag';
+
+	import { uploadFile } from '$lib/apis/files';
 	import { SUPPORTED_FILE_TYPE, SUPPORTED_FILE_EXTENSIONS, WEBUI_BASE_URL } from '$lib/constants';
 
 	import Prompts from './MessageInput/PromptCommands.svelte';
@@ -86,43 +89,70 @@
 		element.scrollTop = element.scrollHeight;
 	};
 
-	const uploadDoc = async (file) => {
+	const uploadFileHandler = async (file) => {
 		console.log(file);
+		// Check if the file is an audio file and transcribe/convert it to text file
+		if (['audio/mpeg', 'audio/wav'].includes(file['type'])) {
+			const res = await transcribeAudio(localStorage.token, file).catch((error) => {
+				toast.error(error);
+				return null;
+			});
 
-		const doc = {
-			type: 'doc',
-			name: file.name,
-			collection_name: '',
-			upload_status: false,
-			error: ''
-		};
-
-		try {
-			files = [...files, doc];
-
-			if (['audio/mpeg', 'audio/wav'].includes(file['type'])) {
-				const res = await transcribeAudio(localStorage.token, file).catch((error) => {
-					toast.error(error);
-					return null;
-				});
+			if (res) {
+				console.log(res);
+				const blob = new Blob([res.text], { type: 'text/plain' });
+				file = blobToFile(blob, `${file.name}.txt`);
+			}
+		}
 
-				if (res) {
-					console.log(res);
-					const blob = new Blob([res.text], { type: 'text/plain' });
-					file = blobToFile(blob, `${file.name}.txt`);
-				}
+		// Upload the file to the server
+		const uploadedFile = await uploadFile(localStorage.token, file).catch((error) => {
+			toast.error(error);
+			return null;
+		});
+
+		if (uploadedFile) {
+			const fileItem = {
+				type: 'file',
+				file: uploadedFile,
+				id: uploadedFile.id,
+				name: file.name,
+				collection_name: '',
+				status: 'uploaded',
+				error: ''
+			};
+			files = [...files, fileItem];
+
+			// TODO: Check if tools & functions have files support to skip this step to delegate file processing
+			// Default Upload to VectorDB
+			if (
+				SUPPORTED_FILE_TYPE.includes(file['type']) ||
+				SUPPORTED_FILE_EXTENSIONS.includes(file.name.split('.').at(-1))
+			) {
+				processFileItem(fileItem);
+			} else {
+				toast.error(
+					$i18n.t(`Unknown File Type '{{file_type}}', but accepting and treating as plain text`, {
+						file_type: file['type']
+					})
+				);
+				processFileItem(fileItem);
 			}
+		}
+	};
 
-			const res = await uploadDocToVectorDB(localStorage.token, '', file);
+	const processFileItem = async (fileItem) => {
+		try {
+			const res = await processDocToVectorDB(localStorage.token, fileItem.id);
 
 			if (res) {
-				doc.upload_status = true;
-				doc.collection_name = res.collection_name;
+				fileItem.status = 'processed';
+				fileItem.collection_name = res.collection_name;
 				files = files;
 			}
 		} catch (e) {
 			// Remove the failed doc from the files array
-			files = files.filter((f) => f.name !== file.name);
+			files = files.filter((f) => f.id !== fileItem.id);
 			toast.error(e);
 		}
 	};
@@ -230,19 +260,8 @@
 								];
 							};
 							reader.readAsDataURL(file);
-						} else if (
-							SUPPORTED_FILE_TYPE.includes(file['type']) ||
-							SUPPORTED_FILE_EXTENSIONS.includes(file.name.split('.').at(-1))
-						) {
-							uploadDoc(file);
 						} else {
-							toast.error(
-								$i18n.t(
-									`Unknown File Type '{{file_type}}', but accepting and treating as plain text`,
-									{ file_type: file['type'] }
-								)
-							);
-							uploadDoc(file);
+							uploadFileHandler(file);
 						}
 					});
 				} else {
@@ -409,8 +428,6 @@
 								if (['image/gif', 'image/webp', 'image/jpeg', 'image/png'].includes(file['type'])) {
 									if (visionCapableModels.length === 0) {
 										toast.error($i18n.t('Selected model(s) do not support image inputs'));
-										inputFiles = null;
-										filesInputElement.value = '';
 										return;
 									}
 									let reader = new FileReader();
@@ -422,30 +439,17 @@
 												url: `${event.target.result}`
 											}
 										];
-										inputFiles = null;
-										filesInputElement.value = '';
 									};
 									reader.readAsDataURL(file);
-								} else if (
-									SUPPORTED_FILE_TYPE.includes(file['type']) ||
-									SUPPORTED_FILE_EXTENSIONS.includes(file.name.split('.').at(-1))
-								) {
-									uploadDoc(file);
-									filesInputElement.value = '';
 								} else {
-									toast.error(
-										$i18n.t(
-											`Unknown File Type '{{file_type}}', but accepting and treating as plain text`,
-											{ file_type: file['type'] }
-										)
-									);
-									uploadDoc(file);
-									filesInputElement.value = '';
+									uploadFileHandler(file);
 								}
 							});
 						} else {
 							toast.error($i18n.t(`File not found.`));
 						}
+
+						filesInputElement.value = '';
 					}}
 				/>