Files
LangBot/tests/unit_tests/platform/test_telegram_adapter.py
T
fdc310 0cde4c71cd feat: Enhance Telegram and QQ Official adapters with select field handling and form action processing
- Added support for select fields in Telegram adapter, including option extraction and callback handling.
- Implemented form action processing for Telegram callbacks, improving user interaction feedback.
- Introduced new helper functions for building keyboards and resolving select button actions in QQ Official adapter.
- Enhanced DifyServiceAPIRunner to handle cumulative streaming responses and improve error handling during workflow resumes.
- Added unit tests for new functionalities in Telegram and QQ Official adapters, ensuring robust behavior for select fields and form actions.
2026-07-11 11:16:59 +08:00

121 lines
4.2 KiB
Python

"""Tests for Telegram Dify form callback helpers."""
import json
from unittest.mock import AsyncMock, MagicMock
import pytest
from telegram import ForceReply
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.builtin.platform.message as platform_message
from langbot.pkg.platform.sources.telegram import (
TelegramAdapter,
_telegram_form_action_from_callback,
_telegram_select_field_options,
)
def _select_form_data() -> dict:
return {
'_current_input_field': 'choice',
'input_defs': [
{
'output_variable_name': 'choice',
'type': 'select',
'option_source': {'type': 'constant', 'value': ['A', 'B', 'C']},
}
],
}
def test_telegram_select_field_options_are_extracted():
assert _telegram_select_field_options(_select_form_data()) == ('choice', ['A', 'B', 'C'])
def test_telegram_select_callback_becomes_input_progress():
assert _telegram_form_action_from_callback({'f': 1, 'x': 1}) == {
'action_id': '',
'inputs': {'select': '1'},
'_input_progress': True,
}
def test_telegram_action_callback_remains_final_action():
assert _telegram_form_action_from_callback({'f': 1, 'a': 'approve'}) == {
'action_id': 'approve',
'inputs': {},
}
def test_telegram_invalid_select_callback_is_rejected():
assert _telegram_form_action_from_callback({'f': 1, 'x': -1}) is None
assert _telegram_form_action_from_callback({'f': 1, 'x': 'invalid'}) is None
@pytest.mark.asyncio
async def test_telegram_select_field_sends_two_column_inline_keyboard():
bot = MagicMock()
bot.send_message = AsyncMock()
adapter = TelegramAdapter.model_construct(bot=bot, config={}, msg_stream_id={}, seq=1, listeners={})
adapter._form_action_titles = {}
update = MagicMock()
update.effective_chat.id = 123
update.effective_message.message_thread_id = None
event = platform_events.FriendMessage(
sender=platform_entities.Friend(id='user-1', nickname='', remark=''),
message_chain=platform_message.MessageChain([]),
source_platform_object=update,
)
form_data = {
**_select_form_data(),
'node_title': 'Review',
'form_content': 'Choose one',
'workflow_run_id': 'workflow-run-12345678',
'actions': [{'id': 'approve', 'title': 'Approve'}],
}
await adapter._send_form_action_buttons(event, form_data)
args = bot.send_message.await_args.kwargs
rows = args['reply_markup'].inline_keyboard
assert [[button.text for button in row] for row in rows] == [['A', 'B'], ['C']]
callback_data = rows[0][1].callback_data
assert len(callback_data.encode('utf-8')) <= 64
assert json.loads(callback_data)['x'] == 1
assert callback_data in adapter._form_action_titles
@pytest.mark.asyncio
async def test_telegram_text_field_does_not_show_action_buttons():
bot = MagicMock()
bot.send_message = AsyncMock()
adapter = TelegramAdapter.model_construct(bot=bot, config={}, msg_stream_id={}, seq=1, listeners={})
adapter._form_action_titles = {}
update = MagicMock()
update.effective_chat.id = 123
update.effective_message.message_thread_id = None
event = platform_events.FriendMessage(
sender=platform_entities.Friend(id='user-1', nickname='', remark=''),
message_chain=platform_message.MessageChain([]),
source_platform_object=update,
)
form_data = {
'_current_input_field': 'us_input',
'input_defs': [{'output_variable_name': 'us_input', 'type': 'paragraph'}],
'node_title': '人工介入',
'form_content': 'us_input (paragraph): reply "us_input: <value>"',
'workflow_run_id': 'workflow-run-12345678',
'actions': [{'id': 'yes', 'title': 'yes'}, {'id': 'no', 'title': 'no'}],
}
await adapter._send_form_action_buttons(event, form_data)
args = bot.send_message.await_args.kwargs
assert isinstance(args['reply_markup'], ForceReply)
assert args['reply_markup'].selective is False
assert 'Please reply with a value for us_input.' in args['text']
assert adapter._form_action_titles == {}