feat(lark): add functions for current input definitions and visible form content handling

feat(qqofficial): update fallback text handling for non-streaming scenarios
feat(difysvapi): enhance form content processing for interactive fields and actions
test: add unit tests for Lark and QQ Official adapter functionalities
This commit is contained in:
fdc310
2026-07-11 15:31:29 +08:00
parent 0cde4c71cd
commit 56b3c15213
6 changed files with 325 additions and 21 deletions
@@ -1,12 +1,97 @@
"""Tests for Lark adapter helper behavior."""
from langbot.pkg.platform.sources.lark import (
LarkAdapter,
_lark_clean_form_content,
_lark_completed_input_lines,
_lark_current_input_defs,
_lark_extract_action_form_inputs,
_lark_should_update_stream_element,
_lark_visible_form_content,
)
def test_lark_current_input_defs_only_returns_active_stage():
input_defs = [
{'output_variable_name': 'us_input', 'type': 'paragraph'},
{'output_variable_name': 'xiala', 'type': 'select'},
]
assert _lark_current_input_defs(
{
'_current_input_field': 'xiala',
'input_defs': input_defs,
}
) == [input_defs[1]]
assert (
_lark_current_input_defs(
{
'_action_select_only': True,
'input_defs': input_defs,
}
)
== []
)
def test_lark_form_field_elements_only_render_active_stage():
adapter = LarkAdapter.model_construct()
form_data = {
'_current_input_field': 'xiala',
'input_defs': [
{'output_variable_name': 'us_input', 'type': 'paragraph'},
{
'output_variable_name': 'xiala',
'type': 'select',
'option_source': {'type': 'constant', 'value': ['1', '2']},
},
],
}
elements, input_name_map, file_help_lines = adapter._build_lark_form_field_elements(form_data)
assert len(elements) == 1
assert elements[0]['tag'] == 'select_static'
assert elements[0]['label']['content'] == 'xiala'
assert list(input_name_map.values()) == ['xiala']
assert file_help_lines == []
def test_lark_form_stage_skips_closed_streaming_element_update():
assert not _lark_should_update_stream_element(
resume_from=False,
form_data={'_current_input_field': 'xiala'},
msg_seq=1,
is_final=True,
)
assert _lark_should_update_stream_element(
resume_from=False,
form_data=None,
msg_seq=1,
is_final=True,
)
def test_lark_final_action_stage_interleaves_prompts_and_completed_values():
form_content = _lark_visible_form_content(
{
'_action_select_only': True,
'raw_form_content': ('11\nQuestion\n{{#$output.us_input#}}\nChoose an answer\n{{#$output.xiala#}}\n'),
'all_input_defs': [
{'output_variable_name': 'us_input', 'type': 'paragraph'},
{'output_variable_name': 'xiala', 'type': 'select'},
],
'inputs': {'us_input': 'hello', 'xiala': '2'},
}
)
assert '{{#$output.' not in form_content
assert form_content.startswith('11\nQuestion')
assert form_content.index('Question') < form_content.index('us_input')
assert form_content.index('us_input') < form_content.index('Choose an answer')
assert form_content.index('Choose an answer') < form_content.index('xiala')
def test_lark_completed_input_lines_include_text_select_and_files():
lines = _lark_completed_input_lines(
{
@@ -2,10 +2,12 @@
import asyncio
import time
from unittest.mock import AsyncMock, MagicMock
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
import langbot_plugin.api.entities.builtin.platform.message as platform_message
from langbot.libs.qq_official_api.api import (
QQ_SELECT_ACTION_PREFIX,
build_keyboard_from_select_field,
@@ -66,6 +68,80 @@ def test_qq_non_select_field_does_not_build_keyboard():
assert build_keyboard_from_select_field(form_data)['content']['rows'] == []
def _stream_test_adapter():
from langbot.pkg.platform.sources.qqofficial import QQOfficialAdapter
adapter = QQOfficialAdapter.model_construct()
adapter.logger = AsyncMock()
adapter.bot = MagicMock()
adapter.bot.send_stream_msg = AsyncMock(return_value={'id': 'stream-1'})
adapter.ap = None
adapter._stream_ctx = {}
adapter._stream_ctx_ts = {}
adapter._fallback_text = {}
adapter._fallback_text_ts = {}
return adapter
@pytest.mark.asyncio
async def test_qq_stream_uses_cumulative_chunks_as_snapshots():
adapter = _stream_test_adapter()
adapter._stream_ctx['message-1'] = {
'user_openid': 'user-1',
'msg_id': 'source-1',
'stream_msg_id': None,
'msg_seq': 1,
'index': 0,
'last_update_ts': 0,
'accumulated_text': '',
'sent_length': 0,
'session_started': False,
}
adapter._stream_ctx_ts['message-1'] = time.time()
source = MagicMock()
await adapter.reply_message_chunk(
source,
{'resp_message_id': 'message-1'},
platform_message.MessageChain([platform_message.Plain(text='<think>one')]),
)
await adapter.reply_message_chunk(
source,
{'resp_message_id': 'message-1'},
platform_message.MessageChain([platform_message.Plain(text='<think>one two')]),
is_final=True,
)
assert [call.kwargs['content'] for call in adapter.bot.send_stream_msg.await_args_list] == [
'<think>one',
' two',
]
@pytest.mark.asyncio
async def test_qq_non_streaming_fallback_keeps_latest_snapshot_only():
from langbot.pkg.platform.sources.qqofficial import QQOfficialAdapter
adapter = _stream_test_adapter()
source = MagicMock()
with patch.object(QQOfficialAdapter, 'reply_message', new=AsyncMock()) as reply_message:
await adapter.reply_message_chunk(
source,
{'resp_message_id': 'message-1'},
platform_message.MessageChain([platform_message.Plain(text='Hel')]),
)
await adapter.reply_message_chunk(
source,
{'resp_message_id': 'message-1'},
platform_message.MessageChain([platform_message.Plain(text='Hello')]),
is_final=True,
)
sent_chain = reply_message.await_args.args[1]
assert str(sent_chain) == 'Hello'
@pytest.mark.asyncio
async def test_qq_select_click_enqueues_input_progress_query():
import langbot.pkg.core.app # noqa: F401
@@ -246,6 +246,46 @@ class TestDifyHumanInputForms:
assert 'comment (paragraph)' in display_form_content
assert snapshot['form_content'] == display_form_content
def test_interactive_form_content_is_split_by_field_placeholders(self):
from langbot.pkg.provider.runners.difysvapi import (
_action_select_form_data,
_field_input_form_data,
)
input_defs = [
{'output_variable_name': 'us_input', 'type': 'paragraph'},
{
'output_variable_name': 'xiala',
'type': 'select',
'option_source': {'type': 'constant', 'value': ['1', '2']},
},
]
pending_form = {
'raw_form_content': (
'1\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}\n提交前请确认'
),
'input_defs': input_defs,
'actions': [{'id': 'yes', 'title': 'yes'}],
'inputs': {},
}
first_step = _field_input_form_data(pending_form, input_defs[0])
second_step = _field_input_form_data(pending_form, input_defs[1])
action_step = _action_select_form_data(pending_form)
assert first_step['form_content'] == '1\n请输入你的问题'
assert second_step['form_content'] == '请选择你的答案'
assert action_step['form_content'] == '提交前请确认'
def test_interactive_form_content_without_placeholder_uses_compatibility_fallback(self):
from langbot.pkg.provider.runners.difysvapi import _field_input_form_data
field = {'output_variable_name': 'comment', 'type': 'paragraph'}
form_data = _field_input_form_data({'raw_form_content': 'Please review', 'input_defs': [field]}, field)
assert form_data['form_content'] == 'comment (paragraph): reply "comment: <value>"'
@pytest.mark.asyncio
async def test_match_pending_form_collects_select_and_text_inputs(self):
from langbot.pkg.provider.runners import difysvapi