mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 23:48:56 +01:00
Rename attached_files to query_files. Update relevant backend and client-side code.
This commit is contained in:
parent
47937d5148
commit
2bb2ff27a4
16 changed files with 159 additions and 146 deletions
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@ -83,8 +83,9 @@ function ChatBodyData(props: ChatBodyDataProps) {
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}
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const storedUploadedFiles = localStorage.getItem("uploadedFiles");
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const parsedFiles = storedUploadedFiles ? JSON.parse(storedUploadedFiles) : [];
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if (storedUploadedFiles) {
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const parsedFiles = storedUploadedFiles ? JSON.parse(storedUploadedFiles) : [];
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const uploadedFiles: AttachedFileText[] = [];
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for (const file of parsedFiles) {
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uploadedFiles.push({
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@ -96,6 +97,7 @@ function ChatBodyData(props: ChatBodyDataProps) {
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}
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localStorage.removeItem("uploadedFiles");
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props.setUploadedFiles(uploadedFiles);
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}
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}, [setQueryToProcess, props.setImages, conversationId]);
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useEffect(() => {
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@ -212,7 +214,7 @@ export default function Chat() {
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timestamp: new Date().toISOString(),
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rawQuery: queryToProcess || "",
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images: images,
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attachedFiles: uploadedFiles,
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queryFiles: uploadedFiles,
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};
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setMessages((prevMessages) => [...prevMessages, newStreamMessage]);
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setProcessQuerySignal(true);
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@ -373,7 +373,7 @@ export default function ChatHistory(props: ChatHistoryProps) {
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images: message.images,
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conversationId: props.conversationId,
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turnId: messageTurnId,
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attachedFiles: message.attachedFiles,
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queryFiles: message.queryFiles,
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}}
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customClassName="fullHistory"
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borderLeftColor={`${data?.agent?.color}-500`}
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@ -161,7 +161,7 @@ export interface SingleChatMessage {
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images?: string[];
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conversationId: string;
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turnId?: string;
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attachedFiles?: AttachedFileText[];
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queryFiles?: AttachedFileText[];
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}
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export interface StreamMessage {
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@ -178,7 +178,7 @@ export interface StreamMessage {
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intentType?: string;
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inferredQueries?: string[];
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turnId?: string;
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attachedFiles?: AttachedFileText[];
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queryFiles?: AttachedFileText[];
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}
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export interface ChatHistoryData {
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@ -708,16 +708,21 @@ const ChatMessage = forwardRef<HTMLDivElement, ChatMessageProps>((props, ref) =>
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onMouseLeave={(event) => setIsHovering(false)}
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onMouseEnter={(event) => setIsHovering(true)}
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>
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{props.chatMessage.attachedFiles && props.chatMessage.attachedFiles.length > 0 && (
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<div className="flex flex-wrap flex-col m-2">
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{props.chatMessage.attachedFiles.map((file, index) => (
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{props.chatMessage.queryFiles && props.chatMessage.queryFiles.length > 0 && (
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<div className="flex flex-wrap flex-col m-2 max-w-full">
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{props.chatMessage.queryFiles.map((file, index) => (
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<Dialog key={index}>
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<DialogTrigger>
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<div className="flex items-center space-x-2 cursor-pointer bg-gray-500 bg-opacity-25 rounded-lg m-1 p-2 w-full">
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<DialogTrigger asChild>
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<div
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className="flex items-center space-x-2 cursor-pointer bg-gray-500 bg-opacity-25 rounded-lg m-1 p-2 w-full
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"
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>
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<div className="flex-shrink-0">
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{getIconFromFilename(file.file_type)}
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<span className="truncate">{file.name}</span>
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</div>
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<span className="truncate flex-1 min-w-0">{file.name}</span>
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{file.size && (
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<span className="text-gray-400">
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<span className="text-gray-400 flex-shrink-0">
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({convertBytesToText(file.size)})
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</span>
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)}
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@ -103,9 +103,17 @@ class PdfToEntries(TextToEntries):
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pdf_entries_per_file = loader.load()
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# Convert the loaded entries into the desired format
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pdf_entry_by_pages = [page.page_content for page in pdf_entries_per_file]
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pdf_entry_by_pages = [PdfToEntries.clean_text(page.page_content) for page in pdf_entries_per_file]
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except Exception as e:
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logger.warning(f"Unable to process file: {pdf_file}. This file will not be indexed.")
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logger.warning(e, exc_info=True)
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return pdf_entry_by_pages
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@staticmethod
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def clean_text(text: str) -> str:
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# Remove null bytes
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text = text.replace("\x00", "")
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# Replace invalid Unicode
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text = text.encode("utf-8", errors="ignore").decode("utf-8")
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return text
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@ -36,7 +36,7 @@ def extract_questions_anthropic(
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query_images: Optional[list[str]] = None,
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vision_enabled: bool = False,
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personality_context: Optional[str] = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"""
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@ -83,7 +83,7 @@ def extract_questions_anthropic(
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images=query_images,
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model_type=ChatModelOptions.ModelType.ANTHROPIC,
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vision_enabled=vision_enabled,
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attached_file_context=attached_files,
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attached_file_context=query_files,
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)
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messages = []
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@ -152,7 +152,7 @@ def converse_anthropic(
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agent: Agent = None,
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query_images: Optional[list[str]] = None,
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vision_available: bool = False,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"""
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@ -210,7 +210,7 @@ def converse_anthropic(
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query_images=query_images,
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vision_enabled=vision_available,
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model_type=ChatModelOptions.ModelType.ANTHROPIC,
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attached_files=attached_files,
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query_files=query_files,
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)
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messages, system_prompt = format_messages_for_anthropic(messages, system_prompt)
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@ -37,7 +37,7 @@ def extract_questions_gemini(
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query_images: Optional[list[str]] = None,
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vision_enabled: bool = False,
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personality_context: Optional[str] = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"""
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@ -84,7 +84,7 @@ def extract_questions_gemini(
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images=query_images,
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model_type=ChatModelOptions.ModelType.GOOGLE,
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vision_enabled=vision_enabled,
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attached_file_context=attached_files,
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attached_file_context=query_files,
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)
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messages = []
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@ -162,7 +162,7 @@ def converse_gemini(
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agent: Agent = None,
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query_images: Optional[list[str]] = None,
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vision_available: bool = False,
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attached_files: str = None,
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query_files: str = None,
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tracer={},
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):
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"""
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@ -221,7 +221,7 @@ def converse_gemini(
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query_images=query_images,
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vision_enabled=vision_available,
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model_type=ChatModelOptions.ModelType.GOOGLE,
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attached_files=attached_files,
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query_files=query_files,
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)
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messages, system_prompt = format_messages_for_gemini(messages, system_prompt)
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@ -37,7 +37,7 @@ def extract_questions_offline(
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max_prompt_size: int = None,
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temperature: float = 0.7,
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personality_context: Optional[str] = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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) -> List[str]:
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"""
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@ -88,7 +88,7 @@ def extract_questions_offline(
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loaded_model=offline_chat_model,
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max_prompt_size=max_prompt_size,
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model_type=ChatModelOptions.ModelType.OFFLINE,
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attached_files=attached_files,
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query_files=query_files,
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)
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state.chat_lock.acquire()
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@ -154,7 +154,7 @@ def converse_offline(
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location_data: LocationData = None,
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user_name: str = None,
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agent: Agent = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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) -> Union[ThreadedGenerator, Iterator[str]]:
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"""
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@ -219,7 +219,7 @@ def converse_offline(
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max_prompt_size=max_prompt_size,
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tokenizer_name=tokenizer_name,
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model_type=ChatModelOptions.ModelType.OFFLINE,
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attached_files=attached_files,
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query_files=query_files,
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)
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truncated_messages = "\n".join({f"{message.content[:70]}..." for message in messages})
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@ -34,7 +34,7 @@ def extract_questions(
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query_images: Optional[list[str]] = None,
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vision_enabled: bool = False,
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personality_context: Optional[str] = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"""
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@ -80,7 +80,7 @@ def extract_questions(
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images=query_images,
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model_type=ChatModelOptions.ModelType.OPENAI,
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vision_enabled=vision_enabled,
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attached_file_context=attached_files,
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attached_file_context=query_files,
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)
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messages = []
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@ -151,7 +151,7 @@ def converse(
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agent: Agent = None,
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query_images: Optional[list[str]] = None,
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vision_available: bool = False,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"""
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@ -210,7 +210,7 @@ def converse(
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query_images=query_images,
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vision_enabled=vision_available,
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model_type=ChatModelOptions.ModelType.OPENAI,
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attached_files=attached_files,
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query_files=query_files,
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)
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truncated_messages = "\n".join({f"{message.content[:70]}..." for message in messages})
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logger.debug(f"Conversation Context for GPT: {truncated_messages}")
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@ -157,14 +157,14 @@ def construct_chat_history(conversation_history: dict, n: int = 4, agent_name="A
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chat_history += f"User: {chat['intent']['query']}\n"
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chat_history += f"{agent_name}: {chat['intent']['inferred-queries'][0]}\n"
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elif chat["by"] == "you":
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raw_attached_files = chat.get("attachedFiles")
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if raw_attached_files:
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attached_files: Dict[str, str] = {}
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for file in raw_attached_files:
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attached_files[file["name"]] = file["content"]
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raw_query_files = chat.get("queryFiles")
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if raw_query_files:
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query_files: Dict[str, str] = {}
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for file in raw_query_files:
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query_files[file["name"]] = file["content"]
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attached_file_context = gather_raw_attached_files(attached_files)
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chat_history += f"User: {attached_file_context}\n"
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query_file_context = gather_raw_query_files(query_files)
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chat_history += f"User: {query_file_context}\n"
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return chat_history
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@ -254,7 +254,7 @@ def save_to_conversation_log(
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conversation_id: str = None,
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automation_id: str = None,
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query_images: List[str] = None,
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raw_attached_files: List[FileAttachment] = [],
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raw_query_files: List[FileAttachment] = [],
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train_of_thought: List[Any] = [],
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tracer: Dict[str, Any] = {},
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):
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@ -267,7 +267,7 @@ def save_to_conversation_log(
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"created": user_message_time,
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"images": query_images,
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"turnId": turn_id,
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"attachedFiles": [file.model_dump(mode="json") for file in raw_attached_files],
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"queryFiles": [file.model_dump(mode="json") for file in raw_query_files],
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},
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khoj_message_metadata={
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"context": compiled_references,
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@ -330,18 +330,18 @@ def construct_structured_message(
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return message
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def gather_raw_attached_files(
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attached_files: Dict[str, str],
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def gather_raw_query_files(
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query_files: Dict[str, str],
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):
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"""
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Gather contextual data from the given (raw) files
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"""
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if len(attached_files) == 0:
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if len(query_files) == 0:
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return ""
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contextual_data = " ".join(
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[f"File: {file_name}\n\n{file_content}\n\n" for file_name, file_content in attached_files.items()]
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[f"File: {file_name}\n\n{file_content}\n\n" for file_name, file_content in query_files.items()]
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)
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return f"I have attached the following files:\n\n{contextual_data}"
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@ -358,7 +358,7 @@ def generate_chatml_messages_with_context(
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vision_enabled=False,
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model_type="",
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context_message="",
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attached_files: str = None,
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query_files: str = None,
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):
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"""Generate chat messages with appropriate context from previous conversation to send to the chat model"""
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# Set max prompt size from user config or based on pre-configured for model and machine specs
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@ -389,13 +389,13 @@ def generate_chatml_messages_with_context(
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)
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message_context += f"{prompts.notes_conversation.format(references=references)}\n\n"
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if chat.get("attachedFiles"):
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raw_attached_files = chat.get("attachedFiles")
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attached_files_dict = dict()
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for file in raw_attached_files:
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attached_files_dict[file["name"]] = file["content"]
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if chat.get("queryFiles"):
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raw_query_files = chat.get("queryFiles")
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query_files_dict = dict()
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for file in raw_query_files:
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query_files_dict[file["name"]] = file["content"]
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message_attached_files = gather_raw_attached_files(attached_files_dict)
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message_attached_files = gather_raw_query_files(query_files_dict)
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chatml_messages.append(ChatMessage(content=message_attached_files, role="user"))
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if not is_none_or_empty(chat.get("onlineContext")):
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@ -407,7 +407,7 @@ def generate_chatml_messages_with_context(
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role = "user" if chat["by"] == "you" else "assistant"
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message_content = construct_structured_message(
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chat["message"], chat.get("images"), model_type, vision_enabled, attached_file_context=attached_files
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chat["message"], chat.get("images"), model_type, vision_enabled, attached_file_context=query_files
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)
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reconstructed_message = ChatMessage(content=message_content, role=role)
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@ -421,7 +421,7 @@ def generate_chatml_messages_with_context(
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messages.append(
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ChatMessage(
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content=construct_structured_message(
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user_message, query_images, model_type, vision_enabled, attached_files
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user_message, query_images, model_type, vision_enabled, query_files
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),
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role="user",
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)
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@ -28,7 +28,7 @@ async def text_to_image(
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send_status_func: Optional[Callable] = None,
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query_images: Optional[List[str]] = None,
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agent: Agent = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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status_code = 200
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@ -70,7 +70,7 @@ async def text_to_image(
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query_images=query_images,
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user=user,
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agent=agent,
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attached_files=attached_files,
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query_files=query_files,
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tracer=tracer,
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)
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@ -68,7 +68,7 @@ async def search_online(
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query_images: List[str] = None,
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previous_subqueries: Set = set(),
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agent: Agent = None,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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query += " ".join(custom_filters)
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@ -86,7 +86,7 @@ async def search_online(
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query_images=query_images,
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agent=agent,
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tracer=tracer,
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attached_files=attached_files,
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query_files=query_files,
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)
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subqueries = list(new_subqueries - previous_subqueries)
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response_dict: Dict[str, Dict[str, List[Dict] | Dict]] = {}
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@ -178,7 +178,7 @@ async def read_webpages(
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query_images: List[str] = None,
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agent: Agent = None,
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max_webpages_to_read: int = DEFAULT_MAX_WEBPAGES_TO_READ,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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"Infer web pages to read from the query and extract relevant information from them"
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@ -190,7 +190,7 @@ async def read_webpages(
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user,
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query_images,
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agent=agent,
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attached_files=attached_files,
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query_files=query_files,
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tracer=tracer,
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)
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@ -36,7 +36,7 @@ async def run_code(
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query_images: List[str] = None,
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agent: Agent = None,
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sandbox_url: str = SANDBOX_URL,
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attached_files: str = None,
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query_files: str = None,
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tracer: dict = {},
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):
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# Generate Code
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@ -54,7 +54,7 @@ async def run_code(
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query_images,
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agent,
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tracer,
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attached_files,
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query_files,
|
||||
)
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to generate code for {query} with error: {e}")
|
||||
|
@ -84,7 +84,7 @@ async def generate_python_code(
|
|||
query_images: List[str] = None,
|
||||
agent: Agent = None,
|
||||
tracer: dict = {},
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
) -> List[str]:
|
||||
location = f"{location_data}" if location_data else "Unknown"
|
||||
username = prompts.user_name.format(name=user.get_full_name()) if user.get_full_name() else ""
|
||||
|
@ -112,7 +112,7 @@ async def generate_python_code(
|
|||
response_type="json_object",
|
||||
user=user,
|
||||
tracer=tracer,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
# Validate that the response is a non-empty, JSON-serializable list
|
||||
|
|
|
@ -351,7 +351,7 @@ async def extract_references_and_questions(
|
|||
query_images: Optional[List[str]] = None,
|
||||
previous_inferred_queries: Set = set(),
|
||||
agent: Agent = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
):
|
||||
user = request.user.object if request.user.is_authenticated else None
|
||||
|
@ -426,7 +426,7 @@ async def extract_references_and_questions(
|
|||
user=user,
|
||||
max_prompt_size=conversation_config.max_prompt_size,
|
||||
personality_context=personality_context,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
elif conversation_config.model_type == ChatModelOptions.ModelType.OPENAI:
|
||||
|
@ -445,7 +445,7 @@ async def extract_references_and_questions(
|
|||
query_images=query_images,
|
||||
vision_enabled=vision_enabled,
|
||||
personality_context=personality_context,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
elif conversation_config.model_type == ChatModelOptions.ModelType.ANTHROPIC:
|
||||
|
@ -461,7 +461,7 @@ async def extract_references_and_questions(
|
|||
user=user,
|
||||
vision_enabled=vision_enabled,
|
||||
personality_context=personality_context,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
elif conversation_config.model_type == ChatModelOptions.ModelType.GOOGLE:
|
||||
|
@ -478,7 +478,7 @@ async def extract_references_and_questions(
|
|||
user=user,
|
||||
vision_enabled=vision_enabled,
|
||||
personality_context=personality_context,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
|
|
@ -50,7 +50,7 @@ from khoj.routers.helpers import (
|
|||
aget_relevant_output_modes,
|
||||
construct_automation_created_message,
|
||||
create_automation,
|
||||
gather_raw_attached_files,
|
||||
gather_raw_query_files,
|
||||
generate_excalidraw_diagram,
|
||||
generate_summary_from_files,
|
||||
get_conversation_command,
|
||||
|
@ -602,7 +602,7 @@ async def chat(
|
|||
country_code = body.country_code or get_country_code_from_timezone(body.timezone)
|
||||
timezone = body.timezone
|
||||
raw_images = body.images
|
||||
raw_attached_files = body.files
|
||||
raw_query_files = body.files
|
||||
|
||||
async def event_generator(q: str, images: list[str]):
|
||||
start_time = time.perf_counter()
|
||||
|
@ -614,7 +614,7 @@ async def chat(
|
|||
q = unquote(q)
|
||||
train_of_thought = []
|
||||
nonlocal conversation_id
|
||||
nonlocal raw_attached_files
|
||||
nonlocal raw_query_files
|
||||
|
||||
tracer: dict = {
|
||||
"mid": turn_id,
|
||||
|
@ -634,10 +634,10 @@ async def chat(
|
|||
if uploaded_image:
|
||||
uploaded_images.append(uploaded_image)
|
||||
|
||||
attached_files: Dict[str, str] = {}
|
||||
if raw_attached_files:
|
||||
for file in raw_attached_files:
|
||||
attached_files[file.name] = file.content
|
||||
query_files: Dict[str, str] = {}
|
||||
if raw_query_files:
|
||||
for file in raw_query_files:
|
||||
query_files[file.name] = file.content
|
||||
|
||||
async def send_event(event_type: ChatEvent, data: str | dict):
|
||||
nonlocal connection_alive, ttft, train_of_thought
|
||||
|
@ -750,7 +750,7 @@ async def chat(
|
|||
compiled_references: List[Any] = []
|
||||
inferred_queries: List[Any] = []
|
||||
file_filters = conversation.file_filters if conversation and conversation.file_filters else []
|
||||
attached_file_context = gather_raw_attached_files(attached_files)
|
||||
attached_file_context = gather_raw_query_files(query_files)
|
||||
|
||||
if conversation_commands == [ConversationCommand.Default] or is_automated_task:
|
||||
conversation_commands = await aget_relevant_information_sources(
|
||||
|
@ -760,7 +760,7 @@ async def chat(
|
|||
user=user,
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -806,7 +806,7 @@ async def chat(
|
|||
user_name=user_name,
|
||||
location=location,
|
||||
file_filters=conversation.file_filters if conversation else [],
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(research_result, InformationCollectionIteration):
|
||||
|
@ -855,7 +855,7 @@ async def chat(
|
|||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
send_status_func=partial(send_event, ChatEvent.STATUS),
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(response, dict) and ChatEvent.STATUS in response:
|
||||
|
@ -877,7 +877,7 @@ async def chat(
|
|||
conversation_id=conversation_id,
|
||||
query_images=uploaded_images,
|
||||
train_of_thought=train_of_thought,
|
||||
raw_attached_files=raw_attached_files,
|
||||
raw_query_files=raw_query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
return
|
||||
|
@ -923,7 +923,7 @@ async def chat(
|
|||
automation_id=automation.id,
|
||||
query_images=uploaded_images,
|
||||
train_of_thought=train_of_thought,
|
||||
raw_attached_files=raw_attached_files,
|
||||
raw_query_files=raw_query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
async for result in send_llm_response(llm_response):
|
||||
|
@ -946,7 +946,7 @@ async def chat(
|
|||
partial(send_event, ChatEvent.STATUS),
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -992,7 +992,7 @@ async def chat(
|
|||
custom_filters,
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -1018,7 +1018,7 @@ async def chat(
|
|||
partial(send_event, ChatEvent.STATUS),
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -1059,7 +1059,7 @@ async def chat(
|
|||
partial(send_event, ChatEvent.STATUS),
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -1100,7 +1100,7 @@ async def chat(
|
|||
send_status_func=partial(send_event, ChatEvent.STATUS),
|
||||
query_images=uploaded_images,
|
||||
agent=agent,
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -1134,7 +1134,7 @@ async def chat(
|
|||
query_images=uploaded_images,
|
||||
train_of_thought=train_of_thought,
|
||||
attached_file_context=attached_file_context,
|
||||
raw_attached_files=raw_attached_files,
|
||||
raw_query_files=raw_query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
content_obj = {
|
||||
|
@ -1164,7 +1164,7 @@ async def chat(
|
|||
user=user,
|
||||
agent=agent,
|
||||
send_status_func=partial(send_event, ChatEvent.STATUS),
|
||||
attached_files=attached_file_context,
|
||||
query_files=attached_file_context,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -1195,7 +1195,7 @@ async def chat(
|
|||
query_images=uploaded_images,
|
||||
train_of_thought=train_of_thought,
|
||||
attached_file_context=attached_file_context,
|
||||
raw_attached_files=raw_attached_files,
|
||||
raw_query_files=raw_query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -1224,7 +1224,7 @@ async def chat(
|
|||
uploaded_images,
|
||||
train_of_thought,
|
||||
attached_file_context,
|
||||
raw_attached_files,
|
||||
raw_query_files,
|
||||
tracer,
|
||||
)
|
||||
|
||||
|
|
|
@ -256,18 +256,18 @@ async def agenerate_chat_response(*args):
|
|||
return await loop.run_in_executor(executor, generate_chat_response, *args)
|
||||
|
||||
|
||||
def gather_raw_attached_files(
|
||||
attached_files: Dict[str, str],
|
||||
def gather_raw_query_files(
|
||||
query_files: Dict[str, str],
|
||||
):
|
||||
"""
|
||||
Gather contextual data from the given (raw) files
|
||||
"""
|
||||
|
||||
if len(attached_files) == 0:
|
||||
if len(query_files) == 0:
|
||||
return ""
|
||||
|
||||
contextual_data = " ".join(
|
||||
[f"File: {file_name}\n\n{file_content}\n\n" for file_name, file_content in attached_files.items()]
|
||||
[f"File: {file_name}\n\n{file_content}\n\n" for file_name, file_content in query_files.items()]
|
||||
)
|
||||
return f"I have attached the following files:\n\n{contextual_data}"
|
||||
|
||||
|
@ -334,7 +334,7 @@ async def aget_relevant_information_sources(
|
|||
user: KhojUser,
|
||||
query_images: List[str] = None,
|
||||
agent: Agent = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
):
|
||||
"""
|
||||
|
@ -372,7 +372,7 @@ async def aget_relevant_information_sources(
|
|||
relevant_tools_prompt,
|
||||
response_type="json_object",
|
||||
user=user,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -482,7 +482,7 @@ async def infer_webpage_urls(
|
|||
user: KhojUser,
|
||||
query_images: List[str] = None,
|
||||
agent: Agent = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
) -> List[str]:
|
||||
"""
|
||||
|
@ -512,7 +512,7 @@ async def infer_webpage_urls(
|
|||
query_images=query_images,
|
||||
response_type="json_object",
|
||||
user=user,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -538,7 +538,7 @@ async def generate_online_subqueries(
|
|||
user: KhojUser,
|
||||
query_images: List[str] = None,
|
||||
agent: Agent = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
) -> Set[str]:
|
||||
"""
|
||||
|
@ -568,7 +568,7 @@ async def generate_online_subqueries(
|
|||
query_images=query_images,
|
||||
response_type="json_object",
|
||||
user=user,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -691,7 +691,7 @@ async def generate_summary_from_files(
|
|||
query_images: List[str] = None,
|
||||
agent: Agent = None,
|
||||
send_status_func: Optional[Callable] = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
):
|
||||
try:
|
||||
|
@ -701,17 +701,15 @@ async def generate_summary_from_files(
|
|||
if len(file_names) > 0:
|
||||
file_objects = await FileObjectAdapters.async_get_file_objects_by_name(None, file_names.pop(), agent)
|
||||
|
||||
if (file_objects and len(file_objects) == 0 and not attached_files) or (
|
||||
not file_objects and not attached_files
|
||||
):
|
||||
if (file_objects and len(file_objects) == 0 and not query_files) or (not file_objects and not query_files):
|
||||
response_log = "Sorry, I couldn't find anything to summarize."
|
||||
yield response_log
|
||||
return
|
||||
|
||||
contextual_data = " ".join([f"File: {file.file_name}\n\n{file.raw_text}" for file in file_objects])
|
||||
|
||||
if attached_files:
|
||||
contextual_data += f"\n\n{attached_files}"
|
||||
if query_files:
|
||||
contextual_data += f"\n\n{query_files}"
|
||||
|
||||
if not q:
|
||||
q = "Create a general summary of the file"
|
||||
|
@ -754,7 +752,7 @@ async def generate_excalidraw_diagram(
|
|||
user: KhojUser = None,
|
||||
agent: Agent = None,
|
||||
send_status_func: Optional[Callable] = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
):
|
||||
if send_status_func:
|
||||
|
@ -770,7 +768,7 @@ async def generate_excalidraw_diagram(
|
|||
query_images=query_images,
|
||||
user=user,
|
||||
agent=agent,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -797,7 +795,7 @@ async def generate_better_diagram_description(
|
|||
query_images: List[str] = None,
|
||||
user: KhojUser = None,
|
||||
agent: Agent = None,
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
) -> str:
|
||||
"""
|
||||
|
@ -839,7 +837,7 @@ async def generate_better_diagram_description(
|
|||
improve_diagram_description_prompt,
|
||||
query_images=query_images,
|
||||
user=user,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
response = response.strip()
|
||||
|
@ -887,7 +885,7 @@ async def generate_better_image_prompt(
|
|||
query_images: Optional[List[str]] = None,
|
||||
user: KhojUser = None,
|
||||
agent: Agent = None,
|
||||
attached_files: str = "",
|
||||
query_files: str = "",
|
||||
tracer: dict = {},
|
||||
) -> str:
|
||||
"""
|
||||
|
@ -936,7 +934,7 @@ async def generate_better_image_prompt(
|
|||
|
||||
with timer("Chat actor: Generate contextual image prompt", logger):
|
||||
response = await send_message_to_model_wrapper(
|
||||
image_prompt, query_images=query_images, user=user, attached_files=attached_files, tracer=tracer
|
||||
image_prompt, query_images=query_images, user=user, query_files=query_files, tracer=tracer
|
||||
)
|
||||
response = response.strip()
|
||||
if response.startswith(('"', "'")) and response.endswith(('"', "'")):
|
||||
|
@ -952,7 +950,7 @@ async def send_message_to_model_wrapper(
|
|||
user: KhojUser = None,
|
||||
query_images: List[str] = None,
|
||||
context: str = "",
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
tracer: dict = {},
|
||||
):
|
||||
conversation_config: ChatModelOptions = await ConversationAdapters.aget_default_conversation_config(user)
|
||||
|
@ -992,7 +990,7 @@ async def send_message_to_model_wrapper(
|
|||
max_prompt_size=max_tokens,
|
||||
vision_enabled=vision_available,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return send_message_to_model_offline(
|
||||
|
@ -1019,7 +1017,7 @@ async def send_message_to_model_wrapper(
|
|||
vision_enabled=vision_available,
|
||||
query_images=query_images,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return send_message_to_model(
|
||||
|
@ -1042,7 +1040,7 @@ async def send_message_to_model_wrapper(
|
|||
vision_enabled=vision_available,
|
||||
query_images=query_images,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return anthropic_send_message_to_model(
|
||||
|
@ -1064,7 +1062,7 @@ async def send_message_to_model_wrapper(
|
|||
vision_enabled=vision_available,
|
||||
query_images=query_images,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return gemini_send_message_to_model(
|
||||
|
@ -1079,7 +1077,7 @@ def send_message_to_model_wrapper_sync(
|
|||
system_message: str = "",
|
||||
response_type: str = "text",
|
||||
user: KhojUser = None,
|
||||
attached_files: str = "",
|
||||
query_files: str = "",
|
||||
tracer: dict = {},
|
||||
):
|
||||
conversation_config: ChatModelOptions = ConversationAdapters.get_default_conversation_config(user)
|
||||
|
@ -1104,7 +1102,7 @@ def send_message_to_model_wrapper_sync(
|
|||
max_prompt_size=max_tokens,
|
||||
vision_enabled=vision_available,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return send_message_to_model_offline(
|
||||
|
@ -1126,7 +1124,7 @@ def send_message_to_model_wrapper_sync(
|
|||
max_prompt_size=max_tokens,
|
||||
vision_enabled=vision_available,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
openai_response = send_message_to_model(
|
||||
|
@ -1148,7 +1146,7 @@ def send_message_to_model_wrapper_sync(
|
|||
max_prompt_size=max_tokens,
|
||||
vision_enabled=vision_available,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return anthropic_send_message_to_model(
|
||||
|
@ -1168,7 +1166,7 @@ def send_message_to_model_wrapper_sync(
|
|||
max_prompt_size=max_tokens,
|
||||
vision_enabled=vision_available,
|
||||
model_type=conversation_config.model_type,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
)
|
||||
|
||||
return gemini_send_message_to_model(
|
||||
|
@ -1199,8 +1197,8 @@ def generate_chat_response(
|
|||
meta_research: str = "",
|
||||
query_images: Optional[List[str]] = None,
|
||||
train_of_thought: List[Any] = [],
|
||||
attached_files: str = None,
|
||||
raw_attached_files: List[FileAttachment] = None,
|
||||
query_files: str = None,
|
||||
raw_query_files: List[FileAttachment] = None,
|
||||
tracer: dict = {},
|
||||
) -> Tuple[Union[ThreadedGenerator, Iterator[str]], Dict[str, str]]:
|
||||
# Initialize Variables
|
||||
|
@ -1223,7 +1221,7 @@ def generate_chat_response(
|
|||
conversation_id=conversation_id,
|
||||
query_images=query_images,
|
||||
train_of_thought=train_of_thought,
|
||||
raw_attached_files=raw_attached_files,
|
||||
raw_query_files=raw_query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -1258,7 +1256,7 @@ def generate_chat_response(
|
|||
location_data=location_data,
|
||||
user_name=user_name,
|
||||
agent=agent,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -1284,7 +1282,7 @@ def generate_chat_response(
|
|||
user_name=user_name,
|
||||
agent=agent,
|
||||
vision_available=vision_available,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
@ -1307,7 +1305,7 @@ def generate_chat_response(
|
|||
user_name=user_name,
|
||||
agent=agent,
|
||||
vision_available=vision_available,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
elif conversation_config.model_type == ChatModelOptions.ModelType.GOOGLE:
|
||||
|
@ -1329,7 +1327,7 @@ def generate_chat_response(
|
|||
agent=agent,
|
||||
query_images=query_images,
|
||||
vision_available=vision_available,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
|
||||
|
|
|
@ -46,7 +46,7 @@ async def apick_next_tool(
|
|||
max_iterations: int = 5,
|
||||
send_status_func: Optional[Callable] = None,
|
||||
tracer: dict = {},
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
):
|
||||
"""Given a query, determine which of the available tools the agent should use in order to answer appropriately."""
|
||||
|
||||
|
@ -92,7 +92,7 @@ async def apick_next_tool(
|
|||
response_type="json_object",
|
||||
user=user,
|
||||
query_images=query_images,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
)
|
||||
except Exception as e:
|
||||
|
@ -152,7 +152,7 @@ async def execute_information_collection(
|
|||
location: LocationData = None,
|
||||
file_filters: List[str] = [],
|
||||
tracer: dict = {},
|
||||
attached_files: str = None,
|
||||
query_files: str = None,
|
||||
):
|
||||
current_iteration = 0
|
||||
MAX_ITERATIONS = 5
|
||||
|
@ -176,7 +176,7 @@ async def execute_information_collection(
|
|||
MAX_ITERATIONS,
|
||||
send_status_func,
|
||||
tracer=tracer,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
yield result[ChatEvent.STATUS]
|
||||
|
@ -207,7 +207,7 @@ async def execute_information_collection(
|
|||
previous_inferred_queries=previous_inferred_queries,
|
||||
agent=agent,
|
||||
tracer=tracer,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
yield result[ChatEvent.STATUS]
|
||||
|
@ -269,7 +269,7 @@ async def execute_information_collection(
|
|||
query_images=query_images,
|
||||
agent=agent,
|
||||
tracer=tracer,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
yield result[ChatEvent.STATUS]
|
||||
|
@ -300,7 +300,7 @@ async def execute_information_collection(
|
|||
send_status_func,
|
||||
query_images=query_images,
|
||||
agent=agent,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
tracer=tracer,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
|
@ -326,7 +326,7 @@ async def execute_information_collection(
|
|||
query_images=query_images,
|
||||
agent=agent,
|
||||
send_status_func=send_status_func,
|
||||
attached_files=attached_files,
|
||||
query_files=query_files,
|
||||
):
|
||||
if isinstance(result, dict) and ChatEvent.STATUS in result:
|
||||
yield result[ChatEvent.STATUS]
|
||||
|
|
Loading…
Reference in a new issue