feat: add chat_tui example for FastGPT with Textual interface
- Introduced a new example script `chat_tui.py` that provides a full-screen Textual interface for interacting with FastGPT. - Implemented streaming chat updates, workflow logging, and modal handling for interactive nodes. - Enhanced FastGPT client with new streaming capabilities and structured event types for better interaction handling. - Normalized base URL handling in the client to prevent duplicate `/api` paths. - Added tests for streaming event parsing and interaction handling.
This commit is contained in:
Xin Wang
683
examples/chat_tui.py
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683
examples/chat_tui.py
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"""Textual FastGPT workbench styled like a coding assistant terminal.
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Run from the examples directory with .env configured:
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python chat_tui.py
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python chat_tui.py --chat-id my_existing_conversation
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This example provides:
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- a full-screen Textual interface
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- streaming chat updates
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- workflow / tool event logging
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- modal handling for FastGPT interactive nodes
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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import uuid
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from textual import on, work
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from textual.app import App, ComposeResult
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from textual.binding import Binding
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from textual.containers import Container, Horizontal, Vertical, VerticalScroll
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from textual.screen import ModalScreen
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from textual.widgets import Button, Checkbox, Footer, Input, RichLog, Static, TextArea
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EXAMPLES_DIR = Path(__file__).resolve().parent
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if str(EXAMPLES_DIR) not in sys.path:
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sys.path.insert(0, str(EXAMPLES_DIR))
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from chat_cli import (
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API_KEY,
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BASE_URL,
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_extract_text_from_event,
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_interactive_prompt_text,
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_normalize_option,
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_tool_name_from_event,
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)
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from fastgpt_client import ChatClient, FastGPTInteractiveEvent, iter_stream_events
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class MessageCard(Static):
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"""Lightweight message block used in the transcript pane."""
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def __init__(self, role: str, title: str, content: str, widget_id: str) -> None:
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super().__init__(content or " ", id=widget_id, classes=f"message {role}")
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self.role = role
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self.content_text = content
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self.border_title = title
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def set_text(self, content: str) -> None:
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self.content_text = content
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self.update(content or " ")
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def append_text(self, chunk: str) -> None:
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if self.content_text in {"", "Thinking…"}:
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self.content_text = chunk
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else:
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self.content_text += chunk
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self.update(self.content_text or " ")
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class InteractiveInputScreen(ModalScreen[Optional[str]]):
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"""Modal used for FastGPT userInput interactions."""
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CSS = """
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InteractiveInputScreen {
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align: center middle;
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background: rgba(4, 7, 11, 0.82);
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}
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.dialog {
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width: 84;
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max-width: 110;
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background: #101620;
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border: round #47c6b3;
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padding: 1 2;
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}
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.dialog-title {
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color: #f5d76e;
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text-style: bold;
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margin-bottom: 1;
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}
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.field-label {
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color: #c6d2df;
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margin-top: 1;
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}
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.dialog-actions {
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margin-top: 1;
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height: auto;
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}
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.dialog-actions Button {
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width: 1fr;
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margin-right: 1;
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}
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.validation {
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color: #ffb4a2;
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margin-top: 1;
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}
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"""
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def __init__(self, event: FastGPTInteractiveEvent) -> None:
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super().__init__()
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self.event = event
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self.prompt_text = _interactive_prompt_text(event.data, "Please provide the requested input")
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raw_fields = event.data.get("params", {}).get("inputForm", [])
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self.fields: List[Dict[str, Any]] = []
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for index, raw_field in enumerate(raw_fields, start=1):
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if not isinstance(raw_field, dict):
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continue
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key = str(raw_field.get("key") or raw_field.get("name") or f"field_{index}").strip() or f"field_{index}"
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label = str(raw_field.get("label") or raw_field.get("name") or key).strip() or key
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placeholder = str(raw_field.get("placeholder") or raw_field.get("description") or "").strip()
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default_value = raw_field.get("defaultValue", raw_field.get("default"))
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required = bool(raw_field.get("required"))
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self.fields.append(
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{
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"key": key,
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"label": label,
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"placeholder": placeholder,
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"default": "" if default_value in (None, "") else str(default_value),
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"required": required,
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}
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)
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def compose(self) -> ComposeResult:
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with Container(classes="dialog"):
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yield Static(self.prompt_text, classes="dialog-title")
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if not self.fields:
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yield Static("FastGPT did not provide structured fields. Enter a single value below.", classes="field-label")
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yield Input(placeholder="Workflow input", id="input-freeform")
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else:
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for index, field in enumerate(self.fields, start=1):
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suffix = "" if field["required"] else " [optional]"
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yield Static(f"{index}. {field['label']}{suffix}", classes="field-label")
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yield Input(
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value=field["default"],
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placeholder=field["placeholder"],
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id=f"input-{index}",
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)
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yield Static("", id="validation", classes="validation")
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with Horizontal(classes="dialog-actions"):
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yield Button("Cancel", id="cancel")
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yield Button("Submit", id="submit", variant="primary")
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def on_mount(self) -> None:
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inputs = list(self.query(Input))
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if inputs:
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inputs[0].focus()
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else:
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self.query_one("#submit", Button).focus()
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@on(Button.Pressed)
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def handle_button(self, event: Button.Pressed) -> None:
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if event.button.id == "cancel":
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self.dismiss(None)
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return
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if not self.fields:
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value = self.query_one("#input-freeform", Input).value.strip()
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self.dismiss(None if not value else value)
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return
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payload: Dict[str, Any] = {}
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for index, field in enumerate(self.fields, start=1):
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value = self.query_one(f"#input-{index}", Input).value.strip()
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if not value and field["required"]:
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self.query_one("#validation", Static).update(f"{field['label']} is required.")
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return
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payload[field["key"]] = value
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self.dismiss(json.dumps(payload, ensure_ascii=False))
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class InteractiveSelectScreen(ModalScreen[Optional[str]]):
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"""Modal used for FastGPT userSelect interactions."""
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CSS = """
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InteractiveSelectScreen {
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align: center middle;
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background: rgba(4, 7, 11, 0.82);
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}
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.dialog {
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width: 84;
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max-width: 110;
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background: #101620;
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border: round #f5d76e;
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padding: 1 2;
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}
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.dialog-title {
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color: #f5d76e;
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text-style: bold;
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margin-bottom: 1;
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}
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.option-description {
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color: #8fa1b3;
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margin-left: 2;
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margin-bottom: 1;
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}
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.dialog-actions {
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margin-top: 1;
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height: auto;
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}
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.dialog-actions Button {
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width: 1fr;
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margin-right: 1;
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}
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.choice-button {
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width: 1fr;
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margin-top: 1;
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}
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.validation {
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color: #ffb4a2;
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margin-top: 1;
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}
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"""
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def __init__(self, event: FastGPTInteractiveEvent) -> None:
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super().__init__()
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self.event = event
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payload = event.data
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params = payload.get("params") if isinstance(payload.get("params"), dict) else {}
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self.prompt_text = _interactive_prompt_text(payload, "Please select an option")
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self.multiple = bool(params.get("multiple") or payload.get("multiple"))
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raw_options = params.get("userSelectOptions") if isinstance(params.get("userSelectOptions"), list) else []
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self.options = [
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item
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for index, raw_option in enumerate(raw_options, start=1)
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if (item := _normalize_option(raw_option, index))
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]
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def compose(self) -> ComposeResult:
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with Container(classes="dialog"):
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yield Static(self.prompt_text, classes="dialog-title")
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if not self.options:
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yield Static("FastGPT did not provide selectable options.", classes="option-description")
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elif self.multiple:
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for index, option in enumerate(self.options, start=1):
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label = f"{index}. {option['label']}"
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if option["description"]:
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label = f"{label} - {option['description']}"
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yield Checkbox(label, id=f"check-{index}")
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else:
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for index, option in enumerate(self.options, start=1):
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yield Button(f"{index}. {option['label']}", id=f"choice-{index}", classes="choice-button")
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if option["description"]:
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yield Static(option["description"], classes="option-description")
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yield Static("", id="validation", classes="validation")
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with Horizontal(classes="dialog-actions"):
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yield Button("Cancel", id="cancel")
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if self.multiple:
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yield Button("Submit", id="submit", variant="primary")
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def on_mount(self) -> None:
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buttons = [button for button in self.query(Button) if button.id and button.id != "cancel"]
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if buttons:
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buttons[0].focus()
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else:
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self.query_one("#cancel", Button).focus()
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@on(Button.Pressed)
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def handle_button(self, event: Button.Pressed) -> None:
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button_id = event.button.id or ""
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if button_id == "cancel":
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self.dismiss(None)
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return
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if button_id.startswith("choice-"):
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index = int(button_id.split("-", 1)[1]) - 1
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self.dismiss(self.options[index]["value"])
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return
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if button_id == "submit":
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selected: List[str] = []
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for index, option in enumerate(self.options, start=1):
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if self.query_one(f"#check-{index}", Checkbox).value:
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selected.append(option["value"])
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if not selected:
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self.query_one("#validation", Static).update("Select at least one option.")
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return
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self.dismiss(", ".join(selected))
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class FastGPTWorkbench(App[None]):
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"""Claude Code style Textual workbench for FastGPT streaming chat."""
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CSS = """
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Screen {
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background: #0b0f14;
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color: #e6edf3;
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}
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#shell {
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layout: grid;
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grid-size: 2;
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grid-columns: 32 1fr;
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height: 1fr;
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}
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#sidebar {
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padding: 1 1 1 2;
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background: #101620;
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border-right: heavy #273244;
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}
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#brand {
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color: #f5d76e;
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text-style: bold;
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margin-bottom: 1;
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}
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.panel {
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background: #0d131d;
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border: round #2b3547;
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padding: 1;
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margin-bottom: 1;
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}
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#event_log {
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height: 1fr;
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background: #0d131d;
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border: round #2b3547;
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}
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#main_panel {
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layout: vertical;
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}
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#chat_title {
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padding: 1 2;
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background: #101620;
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border-bottom: heavy #273244;
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color: #f0f3f7;
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text-style: bold;
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}
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#messages {
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padding: 1 2;
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height: 1fr;
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}
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.message {
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width: 1fr;
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padding: 1 2;
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margin-bottom: 1;
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background: #111723;
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border: round #2b3547;
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}
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.user {
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border-left: tall #f5d76e;
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background: #16161d;
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}
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.assistant {
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border-left: tall #47c6b3;
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background: #0f1821;
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}
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.system {
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border-left: tall #7aa2f7;
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background: #101824;
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}
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.workflow {
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border-left: tall #ff9e64;
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background: #1b1712;
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}
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#composer_shell {
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layout: vertical;
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height: 12;
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padding: 1 2;
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background: #101620;
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border-top: heavy #273244;
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}
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#composer {
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height: 1fr;
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background: #0d131d;
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color: #eef4ff;
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border: round #2b3547;
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}
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#composer_actions {
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height: auto;
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margin-top: 1;
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}
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#composer_actions Button {
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width: 16;
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margin-left: 1;
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}
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#composer_spacer {
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width: 1fr;
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}
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"""
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TITLE = "FastGPT Workbench"
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SUB_TITLE = "Claude-style Textual TUI"
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BINDINGS = [
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Binding("ctrl+j", "send_message", "Send"),
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Binding("ctrl+n", "new_chat", "New Chat"),
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Binding("ctrl+c", "quit", "Quit"),
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]
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def __init__(self, chat_id: Optional[str] = None) -> None:
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super().__init__()
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self.chat_id = chat_id or self._new_chat_id()
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self._message_counter = 0
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self._busy = False
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def compose(self) -> ComposeResult:
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with Container(id="shell"):
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with Vertical(id="sidebar"):
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yield Static("FastGPT Workbench", id="brand")
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yield Static("", id="session_panel", classes="panel")
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yield Static("", id="status_panel", classes="panel")
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yield Static("Ctrl+J send\nCtrl+N new chat\nEsc closes modal prompts", classes="panel")
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yield RichLog(id="event_log", wrap=True, highlight=False, markup=False)
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with Vertical(id="main_panel"):
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yield Static("Claude-style FastGPT Console", id="chat_title")
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yield VerticalScroll(id="messages")
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with Vertical(id="composer_shell"):
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yield TextArea("", id="composer")
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with Horizontal(id="composer_actions"):
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yield Static("", id="composer_spacer")
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yield Button("New Chat", id="new_chat")
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yield Button("Send", id="send", variant="primary")
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yield Footer()
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def on_mount(self) -> None:
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if not API_KEY or not BASE_URL:
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raise RuntimeError("Set API_KEY and BASE_URL in examples/.env before starting chat_tui.py")
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self._refresh_sidebar()
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self._set_status("Ready", "Fresh session")
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self._append_message(
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role="system",
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title="Session",
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content="Start typing below. FastGPT workflow events will appear in the left rail.",
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)
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self.query_one("#composer", TextArea).focus()
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def _new_chat_id(self) -> str:
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return f"chat_tui_{uuid.uuid4().hex[:12]}"
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def _refresh_sidebar(self) -> None:
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session_panel = self.query_one("#session_panel", Static)
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base_url = BASE_URL or ""
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session_panel.update(
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f"Session\n\nchatId: {self.chat_id}\nbaseUrl: {base_url}"
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)
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def _set_status(self, heading: str, detail: str) -> None:
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panel = self.query_one("#status_panel", Static)
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panel.update(f"Status\n\n{heading}\n{detail}")
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def _log_event(self, message: str) -> None:
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self.query_one("#event_log", RichLog).write(message)
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def _format_workflow_payload(self, content: str) -> str:
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try:
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return json.dumps(json.loads(content), ensure_ascii=False, indent=2)
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except Exception:
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return content
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def _append_message(self, role: str, title: str, content: str) -> str:
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self._message_counter += 1
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widget_id = f"message-{self._message_counter}"
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card = MessageCard(role=role, title=title, content=content, widget_id=widget_id)
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messages = self.query_one("#messages", VerticalScroll)
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messages.mount(card)
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messages.scroll_end(animate=False)
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return widget_id
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def _assistant_card(self) -> str:
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card_id = self._append_message("assistant", "FastGPT", "Thinking…")
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self.query_one(f"#{card_id}", MessageCard).set_text("Thinking…")
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return card_id
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def _start_turn(self, content: str, *, title: str = "You", role: str = "user") -> None:
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if self._busy:
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self._log_event("[local] Busy streaming. Wait for the current turn to finish.")
|
||||
return
|
||||
|
||||
display_content = self._format_workflow_payload(content) if role == "workflow" else content
|
||||
self._append_message(role=role, title=title, content=display_content)
|
||||
assistant_card_id = self._assistant_card()
|
||||
self._busy = True
|
||||
self._set_status("Streaming", "Receiving FastGPT output")
|
||||
self._stream_turn(
|
||||
messages=[{"role": "user", "content": content}],
|
||||
assistant_card_id=assistant_card_id,
|
||||
)
|
||||
|
||||
def _complete_turn(self, assistant_card_id: str, *, waiting_interactive: bool) -> None:
|
||||
card = self.query_one(f"#{assistant_card_id}", MessageCard)
|
||||
if waiting_interactive and not card.content_text.strip():
|
||||
card.set_text("Waiting for workflow input…")
|
||||
self._set_status("Interactive", "Provide the requested workflow input")
|
||||
elif not card.content_text.strip():
|
||||
card.set_text("(no text response)")
|
||||
self._set_status("Ready", "Idle")
|
||||
else:
|
||||
self._set_status("Ready", "Idle")
|
||||
self._busy = False
|
||||
|
||||
def _append_assistant_chunk(self, assistant_card_id: str, chunk: str) -> None:
|
||||
card = self.query_one(f"#{assistant_card_id}", MessageCard)
|
||||
card.append_text(chunk)
|
||||
self.query_one("#messages", VerticalScroll).scroll_end(animate=False)
|
||||
|
||||
def _mark_turn_failed(self, assistant_card_id: str, message: str) -> None:
|
||||
card = self.query_one(f"#{assistant_card_id}", MessageCard)
|
||||
if card.content_text in {"", "Thinking…"}:
|
||||
card.set_text(f"Error: {message}")
|
||||
else:
|
||||
card.append_text(f"\n\nError: {message}")
|
||||
self._busy = False
|
||||
self._set_status("Error", message)
|
||||
self._log_event(f"[error] {message}")
|
||||
|
||||
def _handle_interactive_result(self, result: Optional[str]) -> None:
|
||||
if result is None:
|
||||
self._log_event("[interactive] Prompt cancelled locally.")
|
||||
self._set_status("Ready", "Interactive prompt dismissed")
|
||||
return
|
||||
|
||||
self._start_turn(result, title="Workflow Input", role="workflow")
|
||||
|
||||
def _present_interactive(self, event: FastGPTInteractiveEvent) -> None:
|
||||
self._log_event(f"[interactive] {event.interaction_type}")
|
||||
if event.interaction_type == "userInput":
|
||||
self.push_screen(InteractiveInputScreen(event), self._handle_interactive_result)
|
||||
return
|
||||
self.push_screen(InteractiveSelectScreen(event), self._handle_interactive_result)
|
||||
|
||||
def action_send_message(self) -> None:
|
||||
composer = self.query_one("#composer", TextArea)
|
||||
content = composer.text.strip()
|
||||
if not content:
|
||||
return
|
||||
composer.text = ""
|
||||
composer.focus()
|
||||
self._start_turn(content)
|
||||
|
||||
def action_new_chat(self) -> None:
|
||||
if self._busy:
|
||||
self._log_event("[local] Cannot reset chat while a turn is streaming.")
|
||||
return
|
||||
self.chat_id = self._new_chat_id()
|
||||
self.query_one("#messages", VerticalScroll).remove_children()
|
||||
self._refresh_sidebar()
|
||||
self._set_status("Ready", "Started a new random session")
|
||||
self._append_message(
|
||||
role="system",
|
||||
title="Session",
|
||||
content="New chat created. Start typing below.",
|
||||
)
|
||||
self._log_event(f"[local] Started new chatId {self.chat_id}")
|
||||
|
||||
@on(Button.Pressed, "#send")
|
||||
def _send_button(self, _: Button.Pressed) -> None:
|
||||
self.action_send_message()
|
||||
|
||||
@on(Button.Pressed, "#new_chat")
|
||||
def _new_chat_button(self, _: Button.Pressed) -> None:
|
||||
self.action_new_chat()
|
||||
|
||||
@work(thread=True, exclusive=True)
|
||||
def _stream_turn(self, messages: List[Dict[str, Any]], assistant_card_id: str) -> None:
|
||||
interactive_event: Optional[FastGPTInteractiveEvent] = None
|
||||
try:
|
||||
with ChatClient(api_key=API_KEY, base_url=BASE_URL) as client:
|
||||
response = client.create_chat_completion(
|
||||
messages=messages,
|
||||
stream=True,
|
||||
detail=True,
|
||||
chatId=self.chat_id,
|
||||
)
|
||||
response.raise_for_status()
|
||||
try:
|
||||
for event in iter_stream_events(response):
|
||||
if event.kind in {"data", "answer", "fastAnswer"}:
|
||||
content = _extract_text_from_event(event.kind, event.data)
|
||||
if content:
|
||||
self.call_from_thread(self._append_assistant_chunk, assistant_card_id, content)
|
||||
continue
|
||||
|
||||
if event.kind == "flowNodeStatus":
|
||||
if isinstance(event.data, dict):
|
||||
status = str(event.data.get("status") or "?")
|
||||
node_name = str(event.data.get("nodeName") or event.data.get("name") or event.data.get("node_id") or "Unknown node")
|
||||
self.call_from_thread(self._log_event, f"[flow] {status}: {node_name}")
|
||||
else:
|
||||
self.call_from_thread(self._log_event, f"[flow] {event.data}")
|
||||
continue
|
||||
|
||||
if event.kind == "flowResponses":
|
||||
if isinstance(event.data, dict):
|
||||
module_name = str(event.data.get("moduleName") or event.data.get("nodeName") or "Unknown module")
|
||||
self.call_from_thread(self._log_event, f"[flow] response from: {module_name}")
|
||||
elif isinstance(event.data, list):
|
||||
self.call_from_thread(self._log_event, f"[flow] response details: {len(event.data)} module record(s)")
|
||||
else:
|
||||
self.call_from_thread(self._log_event, f"[flow] response details: {event.data}")
|
||||
continue
|
||||
|
||||
if event.kind == "toolCall":
|
||||
tool_name = _tool_name_from_event(event.data)
|
||||
self.call_from_thread(self._log_event, f"[tool] calling: {tool_name}")
|
||||
continue
|
||||
|
||||
if event.kind == "toolParams":
|
||||
self.call_from_thread(self._log_event, f"[tool] params: {event.data}")
|
||||
continue
|
||||
|
||||
if event.kind == "toolResponse":
|
||||
self.call_from_thread(self._log_event, f"[tool] response: {event.data}")
|
||||
continue
|
||||
|
||||
if event.kind == "updateVariables":
|
||||
self.call_from_thread(self._log_event, f"[vars] updated: {event.data}")
|
||||
continue
|
||||
|
||||
if event.kind == "interactive":
|
||||
interactive_event = event
|
||||
self.call_from_thread(self._present_interactive, event)
|
||||
break
|
||||
|
||||
if event.kind == "error":
|
||||
message = str(event.data.get("message") or event.data.get("error") or "Unknown FastGPT error")
|
||||
raise RuntimeError(message)
|
||||
|
||||
if event.kind == "done":
|
||||
break
|
||||
finally:
|
||||
response.close()
|
||||
except Exception as exc:
|
||||
self.call_from_thread(self._mark_turn_failed, assistant_card_id, str(exc))
|
||||
return
|
||||
|
||||
self.call_from_thread(
|
||||
self._complete_turn,
|
||||
assistant_card_id,
|
||||
waiting_interactive=interactive_event is not None,
|
||||
)
|
||||
|
||||
|
||||
def _parse_args() -> argparse.Namespace:
|
||||
parser = argparse.ArgumentParser(description="Textual FastGPT chat workbench")
|
||||
parser.add_argument(
|
||||
"--chat-id",
|
||||
dest="chat_id",
|
||||
help="Reuse an existing FastGPT chatId. Defaults to a random chat_tui_* value.",
|
||||
)
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def main() -> None:
|
||||
args = _parse_args()
|
||||
FastGPTWorkbench(chat_id=args.chat_id).run()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user