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feat: add supports for dify hitl (#2226)
* feat: Implement workflow form handling for paused workflows - Added module-level storage for pending forms to manage state across sessions. - Introduced functions to set, get, and clear pending forms with expiration handling. - Enhanced DifyServiceAPIRunner to support resuming paused workflows via form actions. - Implemented logic to yield human input requests and display appropriate messages. - Updated workflow submission methods to handle paused states and resume actions. - Ensured proper merging of pending form actions with user inputs for seamless interaction. * feat: Add '_routed_by_rule' variable to form action in Lark and Telegram adapters * feat: Enhance Lark and Telegram adapters with new form handling for paused workflows * feat: Enhance TelegramAdapter to handle form action buttons and message threading * feat: Improve TelegramAdapter message handling with enhanced error management and draft message support * feat: Add the function for formatting human input text to support adapters without rich UI. * feat(dingtalk): implement human input card support and card action handling - Add a new module `card_callback.py` to handle card action button clicks from DingTalk. - Introduce `DingTalkCardActionHandler` to process card action callbacks and extract parameters. - Update `DingTalkAdapter` to manage card state and handle form input through a single card template. - Add configuration for `human_input_card_template_id` in `dingtalk.yaml` to specify the template for human input. - Create a new card template `dingtalk_human_input_card.json` for rendering human input prompts and buttons. * feat(dingtalk): enhance human input card functionality with streaming support and active turn management - Updated the DingTalk card template to enable streaming mode and multi-update configuration. - Removed the obsolete delete_card method from DingTalkClient to streamline card management. - Enhanced DingTalkAdapter to manage active turn cards and accumulated streaming text, ensuring a seamless user experience during human input prompts. - Modified the create_message_card method to utilize existing active cards for resumed workflows, preventing duplication. - Improved the _paint_form_on_card method to update existing cards with human input prompts and buttons dynamically. - Updated the dingtalk_human_input_card.json template to reflect the new streaming capabilities and configuration options. * feat(wecom): implement Dify human input pause handling with button interaction support * feat(qqofficial): implement Dify human input button interaction handling and markdown keyboard support * feat(qqofficial): implement one-click QR binding and enhance localization support * feat(discord): implement Discord form view with button interactions for Dify actions * fix(telegram): correct group chat type check and handle oversized callback data for Telegram actions fix(difysvapi): ensure safe access to remove-think configuration in pipeline settings * feat(dify): add support for chatflow app type and enhance human input handling * feat(telegram): add action title feedback for user selections in Telegram messages * feat(lark): enhance LarkAdapter to store form content for resume notices * feat(dingtalk): update display formatting for card content with HTML line breaks * feat(dingtalk): add feedback functionality to cards with 👍/👎 buttons - Implemented feedback state management for cards, allowing users to provide feedback via thumbs up/down buttons. - Enhanced card rendering to include feedback buttons when appropriate. - Registered feedback listeners to handle feedback events and update card states accordingly. - Updated the card template to support dynamic button rendering for feedback actions. - Improved error handling and logging for feedback actions and card updates. * fix: add Avatar component to dingtalk_human_input_card.json for enhanced user interaction * feat(wecom): add optional source block to interactive template cards for enhanced branding * feat(wecom): add functions for template card action extraction and update, enhance button interaction handling * feat(qqofficial): synchronize passive-reply counter with inbound message sequence * feat(qqofficial): add method to identify invisible form placeholder chunks in messages * feat(dingtalk): add download link for human input card template and enhance dynamic form configuration * feat(telegram): enhance message handling with group stream deletion and form placeholder detection * Add unit tests for DingTalk, Lark, WeComBot, and Dify service API runners - Implement tests for DingTalk adapter helper functions including form content cleaning, input extraction, and completed input lines. - Create unit tests for Lark adapter helper functions focusing on input extraction and completed input lines. - Add tests for WeComBot template card functionalities, including event extraction and payload building for human input. - Enhance Dify service API runner tests to cover human input forms, including input collection, action handling, and form snapshot extraction. * 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. * 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 * Add tests for DingTalk adapter content processing and markdown formatting - Updated the assertion in `test_dingtalk_completed_input_lines_include_text_and_select_values` to remove unnecessary markdown formatting. - Added new tests to verify that `_dingtalk_clean_form_content` maintains the order of prompts and completed values in various scenarios. - Introduced `test_dingtalk_card_markdown_preserves_internal_line_breaks` to ensure internal line breaks are correctly converted to HTML line breaks. * feat: Refactor input handling and feedback messages across multiple adapters * feat: Update the human-computer interaction template cards, and optimize the prompt information and content display. * feat: Refactor pending form handling to isolate by bot and pipeline * feat: Enhance error handling and caching for Dify and WeCom interactions * feat: Enhance select input handling and validation in Dify API runner and Telegram adapter * feat: Add missing completed input lines handling in DingTalk adapter * feat: Add pipeline_uuid handling across multiple adapters and update related tests
This commit is contained in:
Dongchuan Fu
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"""Tests for DingTalk adapter helper behavior."""
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import asyncio
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from langbot.pkg.platform.sources.dingtalk import (
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DingTalkAdapter,
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_dingtalk_card_markdown,
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_dingtalk_clean_form_content,
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_dingtalk_completed_input_lines,
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_dingtalk_extract_component_inputs,
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_dingtalk_form_component_params,
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_dingtalk_missing_completed_input_lines,
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_dingtalk_pending_input_defs,
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)
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def test_dingtalk_select_component_params_expose_options():
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params = _dingtalk_form_component_params(
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{
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'_current_input_field': 'choice',
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'input_defs': [
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{
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'output_variable_name': 'choice',
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'type': 'select',
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'option_source': {'type': 'constant', 'value': ['A', 'B']},
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}
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],
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'inputs': {},
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}
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)
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assert params['select_visible'] == 'true'
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assert params['select_placeholder'] == 'choice'
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assert params['select_options'] == ['A', 'B']
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assert [option['value'] for option in params['index_o']] == ['A', 'B']
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assert [option['value'] for option in params['test_index']] == ['A', 'B']
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assert params['index_o'][0]['text']['zh_CN'] == 'A'
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assert params['index_o'][0]['text']['en_US'] == 'A'
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assert params['select_index'] == -1
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def test_dingtalk_extract_select_from_builtin_result_dict():
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inputs = _dingtalk_extract_component_inputs({'selectResult': {'index': 1, 'value': 'B'}})
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assert inputs == {'select': 'B'}
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def test_dingtalk_extract_select_from_template_param_string():
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inputs = _dingtalk_extract_component_inputs({'select': '{"index": 1, "value": "B"}'})
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assert inputs == {'select': '{"index": 1, "value": "B"}'}
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def test_dingtalk_extract_input_and_select_together():
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inputs = _dingtalk_extract_component_inputs(
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{
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'inputResult': {'value': 'looks good'},
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'__built_in_selectResult__': {'index': 0, 'value': 'A'},
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}
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)
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assert inputs == {'input': 'looks good', 'select': 'A'}
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def test_dingtalk_extract_component_inputs_strips_card_line_endings():
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inputs = _dingtalk_extract_component_inputs(
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{
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'inputResult': {'value': '回复我测试\r\n'},
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'selectResult': {'value': '1\r'},
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}
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)
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assert inputs == {'input': '回复我测试', 'select': '1'}
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def test_dingtalk_pending_input_defs_includes_file_fields():
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pending = _dingtalk_pending_input_defs(
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{
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'input_defs': [
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{'output_variable_name': 'comment', 'type': 'paragraph'},
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{'output_variable_name': 'files', 'type': 'file-list'},
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],
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'inputs': {'comment': 'ready'},
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}
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)
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assert [field['output_variable_name'] for field in pending] == ['files']
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def test_dingtalk_completed_input_lines_include_text_and_select_values():
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lines = _dingtalk_completed_input_lines(
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{
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'all_input_defs': [
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{'output_variable_name': 'comment', 'type': 'paragraph'},
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{
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'output_variable_name': 'choice',
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'type': 'select',
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'option_source': {'type': 'constant', 'value': ['A', 'B']},
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},
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],
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'inputs': {'comment': 'looks good', 'choice': 'B'},
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}
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)
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assert lines == ['✅ comment：looks good', '✅ choice：B']
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def test_dingtalk_completed_inputs_are_not_repeated_when_already_interleaved():
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form_data = {
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'all_input_defs': [
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{'output_variable_name': 'us_input', 'type': 'paragraph'},
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{'output_variable_name': 'xiala', 'type': 'select'},
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],
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'inputs': {'us_input': '回复我测试\r', 'xiala': '1'},
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}
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form_content = '你好\n请输入你的问题\n✅ us_input：回复我测试\n请选择你的答案\n✅ xiala：1'
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assert _dingtalk_missing_completed_input_lines(form_data, form_content) == []
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def test_dingtalk_completed_inputs_are_appended_when_template_does_not_render_them():
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form_data = {
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'all_input_defs': [{'output_variable_name': 'comment', 'type': 'paragraph'}],
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'inputs': {'comment': 'ready'},
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}
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assert _dingtalk_missing_completed_input_lines(form_data, 'Please review') == ['✅ comment：ready']
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def test_dingtalk_clean_form_content_uses_all_input_defs():
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content = _dingtalk_clean_form_content(
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{
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'raw_form_content': 'Hello\n\n{{#$output.comment#}}\n\n{{#$output.choice#}}\n',
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'input_defs': [],
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'all_input_defs': [
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{'output_variable_name': 'comment', 'type': 'paragraph'},
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{'output_variable_name': 'choice', 'type': 'select'},
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],
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}
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)
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assert content == 'Hello'
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def test_dingtalk_field_stage_keeps_prior_prompts_and_completed_values():
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content = _dingtalk_clean_form_content(
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{
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'_current_input_field': 'choice',
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'raw_form_content': ('Question\n{{#$output.comment#}}\nChoose an answer\n{{#$output.choice#}}'),
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'form_content': 'Choose an answer',
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'input_defs': [
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{'output_variable_name': 'comment', 'type': 'paragraph'},
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{'output_variable_name': 'choice', 'type': 'select'},
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],
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'inputs': {'comment': 'hello'},
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}
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)
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assert '{{#$output.' not in content
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assert content.index('Question') < content.index('comment')
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assert content.index('comment') < content.index('Choose an answer')
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def test_dingtalk_final_action_stage_interleaves_prompts_and_completed_values():
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content = _dingtalk_clean_form_content(
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{
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'_action_select_only': True,
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'raw_form_content': ('11\nQuestion\n{{#$output.comment#}}\nChoose an answer\n{{#$output.choice#}}'),
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'all_input_defs': [
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{'output_variable_name': 'comment', 'type': 'paragraph'},
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{'output_variable_name': 'choice', 'type': 'select'},
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],
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'inputs': {'comment': 'hello', 'choice': 'B'},
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}
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)
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assert '{{#$output.' not in content
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assert content.startswith('11\nQuestion')
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assert content.index('Question') < content.index('comment')
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assert content.index('comment') < content.index('Choose an answer')
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assert content.index('Choose an answer') < content.index('choice')
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def test_dingtalk_card_markdown_preserves_internal_line_breaks():
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assert _dingtalk_card_markdown('11\nQuestion\nCompleted') == '11<br>Question<br>Completed'
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def _build_card_action_adapter() -> DingTalkAdapter:
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adapter = DingTalkAdapter.model_construct(
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card_state={
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'card-1': {
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'session_key': 'group_group-1',
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'launcher_type': 'group',
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'launcher_id': 'group-1',
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'sender_user_id': 'initiator-1',
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'form_token': 'token-1',
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'workflow_run_id': 'run-1',
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'actions': [{'id': 'approve', 'title': 'Approve'}],
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'node_title': 'Review',
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'form_content': 'Please review',
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'input_defs': [],
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'inputs': {},
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}
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},
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active_turn_card={},
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active_turn_text={},
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)
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adapter.logger = AsyncMock()
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adapter.ap = MagicMock()
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adapter.ap.platform_mgr.bots = []
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adapter.ap.query_pool.add_query = AsyncMock()
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return adapter
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@pytest.mark.asyncio
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async def test_dingtalk_group_card_action_uses_clicker_as_sender():
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adapter = _build_card_action_adapter()
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with patch.object(DingTalkAdapter, '_mark_card_resolved', new=AsyncMock()) as mark_resolved:
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await adapter._on_card_action(
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{
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'out_track_id': 'card-1',
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'user_id': 'reviewer-2',
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'action_id': 'approve',
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'params': {},
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}
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)
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await asyncio.sleep(0)
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call = adapter.ap.query_pool.add_query.await_args
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assert call.kwargs['launcher_id'] == 'group-1'
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assert call.kwargs['sender_id'] == 'reviewer-2'
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assert call.kwargs['message_event'].sender.id == 'reviewer-2'
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mark_resolved.assert_awaited_once()
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@pytest.mark.asyncio
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async def test_dingtalk_unknown_card_action_is_rejected():
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adapter = _build_card_action_adapter()
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await adapter._on_card_action(
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{
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'out_track_id': 'card-1',
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'user_id': 'reviewer-2',
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'action_id': 'not-on-card',
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'params': {},
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}
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)
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adapter.ap.query_pool.add_query.assert_not_awaited()
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adapter.logger.warning.assert_awaited_once()
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@@ -0,0 +1,42 @@
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"""Tests for DingTalk API payload helpers."""
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import json
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from langbot.libs.dingtalk_api.api import _stringify_card_param_map
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def test_dingtalk_card_param_map_stringifies_select_component_arrays():
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params = _stringify_card_param_map(
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{
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'content': 'Pick one',
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'btns': json.dumps([{'text': 'OK'}], ensure_ascii=False),
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'select_options': ['A', 'B'],
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'index_o': [
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{
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'value': 'A',
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'text': {'zh_CN': 'A', 'en_US': 'A'},
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}
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],
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'test_index': [
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{
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'value': 'A',
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'text': {'zh_CN': 'A', 'en_US': 'A'},
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}
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],
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'select_index': -1,
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}
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)
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assert params['content'] == 'Pick one'
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assert params['btns'] == '[{"text": "OK"}]'
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assert params['select_options'] == '["A", "B"]'
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assert json.loads(params['index_o'])[0]['value'] == 'A'
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assert json.loads(params['test_index'])[0]['value'] == 'A'
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assert params['select_index'] == '-1'
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def test_dingtalk_card_param_map_stringifies_unregistered_structures():
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params = _stringify_card_param_map({'other': ['A'], 'empty': None})
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assert params['other'] == '["A"]'
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assert params['empty'] == ''
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@@ -0,0 +1,196 @@
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"""Tests for Lark adapter helper behavior."""
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from langbot.pkg.platform.sources.lark import (
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LarkAdapter,
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_lark_clean_form_content,
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_lark_completed_input_lines,
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_lark_current_input_defs,
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_lark_extract_action_form_inputs,
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_lark_should_update_stream_element,
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_lark_visible_form_content,
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)
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def test_lark_current_input_defs_only_returns_active_stage():
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input_defs = [
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{'output_variable_name': 'us_input', 'type': 'paragraph'},
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{'output_variable_name': 'xiala', 'type': 'select'},
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]
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assert _lark_current_input_defs(
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{
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'_current_input_field': 'xiala',
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'input_defs': input_defs,
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}
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) == [input_defs[1]]
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assert (
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_lark_current_input_defs(
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{
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'_action_select_only': True,
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'input_defs': input_defs,
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}
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)
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== []
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)
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def test_lark_form_field_elements_only_render_active_stage():
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adapter = LarkAdapter.model_construct()
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form_data = {
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'_current_input_field': 'xiala',
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'input_defs': [
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{'output_variable_name': 'us_input', 'type': 'paragraph'},
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{
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'output_variable_name': 'xiala',
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'type': 'select',
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'option_source': {'type': 'constant', 'value': ['1', '2']},
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},
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],
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}
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elements, input_name_map, file_help_lines = adapter._build_lark_form_field_elements(form_data)
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assert len(elements) == 1
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assert elements[0]['tag'] == 'select_static'
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assert elements[0]['label']['content'] == 'xiala'
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assert list(input_name_map.values()) == ['xiala']
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assert file_help_lines == []
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def test_lark_form_stage_skips_closed_streaming_element_update():
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assert not _lark_should_update_stream_element(
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resume_from=False,
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form_data={'_current_input_field': 'xiala'},
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msg_seq=1,
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is_final=True,
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)
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assert _lark_should_update_stream_element(
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resume_from=False,
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form_data=None,
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msg_seq=1,
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is_final=True,
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)
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def test_lark_final_action_stage_interleaves_prompts_and_completed_values():
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form_content = _lark_visible_form_content(
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{
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'_action_select_only': True,
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'raw_form_content': ('11\nQuestion\n{{#$output.us_input#}}\nChoose an answer\n{{#$output.xiala#}}\n'),
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'all_input_defs': [
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{'output_variable_name': 'us_input', 'type': 'paragraph'},
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{'output_variable_name': 'xiala', 'type': 'select'},
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],
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'inputs': {'us_input': 'hello', 'xiala': '2'},
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||||
}
|
||||
)
|
||||
|
||||
assert '{{#$output.' not in form_content
|
||||
assert form_content.startswith('11\nQuestion')
|
||||
assert form_content.index('Question') < form_content.index('us_input')
|
||||
assert form_content.index('us_input') < form_content.index('Choose an answer')
|
||||
assert form_content.index('Choose an answer') < form_content.index('xiala')
|
||||
|
||||
|
||||
def test_lark_completed_input_lines_include_text_select_and_files():
|
||||
lines = _lark_completed_input_lines(
|
||||
{
|
||||
'all_input_defs': [
|
||||
{'output_variable_name': 'us_input', 'type': 'paragraph'},
|
||||
{'output_variable_name': 'xiala', 'type': 'select'},
|
||||
{'output_variable_name': 'files', 'type': 'file-list'},
|
||||
],
|
||||
'inputs': {
|
||||
'us_input': '你好',
|
||||
'xiala': 'or',
|
||||
'files': [{'upload_file_id': 'file-1'}, {'upload_file_id': 'file-2'}],
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
assert lines == [
|
||||
'✅ us_input：你好',
|
||||
'✅ xiala：or',
|
||||
'✅ files：2 file(s)',
|
||||
]
|
||||
|
||||
|
||||
def test_lark_clean_form_content_removes_all_input_placeholders():
|
||||
content = _lark_clean_form_content(
|
||||
'人工介入\n\n{{#$output.us_input#}}\n\n{{#$output.xiala#}}\n',
|
||||
[
|
||||
{'output_variable_name': 'us_input', 'type': 'paragraph'},
|
||||
{'output_variable_name': 'xiala', 'type': 'select'},
|
||||
],
|
||||
)
|
||||
|
||||
assert content == '人工介入'
|
||||
|
||||
|
||||
def test_lark_extract_action_form_inputs_from_json_form_value():
|
||||
class Action:
|
||||
form_value = '{"Input_1_us_input_abcd12": "hello", "Select_2_xiala_abcd12": "B"}'
|
||||
input_value = None
|
||||
option = None
|
||||
name = None
|
||||
|
||||
inputs = _lark_extract_action_form_inputs(
|
||||
Action(),
|
||||
{
|
||||
'input_name_map': {
|
||||
'Input_1_us_input_abcd12': 'us_input',
|
||||
'Select_2_xiala_abcd12': 'xiala',
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
assert inputs == {'us_input': 'hello', 'xiala': 'B'}
|
||||
|
||||
|
||||
def test_lark_extract_action_form_inputs_from_webhook_dict_action():
|
||||
inputs = _lark_extract_action_form_inputs(
|
||||
{
|
||||
'form_value': {
|
||||
'Input_1_us_input_abcd12': 'hello',
|
||||
'Select_2_xiala_abcd12': {'value': 'B', 'text': {'content': 'Option B'}},
|
||||
}
|
||||
},
|
||||
{
|
||||
'input_name_map': {
|
||||
'Input_1_us_input_abcd12': 'us_input',
|
||||
'Select_2_xiala_abcd12': 'xiala',
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
assert inputs == {'us_input': 'hello', 'xiala': {'value': 'B', 'text': {'content': 'Option B'}}}
|
||||
|
||||
|
||||
def test_lark_extract_action_form_inputs_maps_dotted_component_names():
|
||||
inputs = _lark_extract_action_form_inputs(
|
||||
{
|
||||
'form_value': {
|
||||
'Form_1_token_abcd12.Input_1_us_input_abcd12': 'hello',
|
||||
}
|
||||
},
|
||||
{
|
||||
'input_name_map': {
|
||||
'Input_1_us_input_abcd12': 'us_input',
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
assert inputs == {'us_input': 'hello'}
|
||||
|
||||
|
||||
def test_lark_completed_input_lines_display_select_value_from_object():
|
||||
lines = _lark_completed_input_lines(
|
||||
{
|
||||
'all_input_defs': [
|
||||
{'output_variable_name': 'xiala', 'type': 'select'},
|
||||
],
|
||||
'inputs': {'xiala': {'value': 'B', 'text': {'content': 'Option B'}}},
|
||||
}
|
||||
)
|
||||
|
||||
assert lines == ['✅ xiala：B']
|
||||
@@ -0,0 +1,224 @@
|
||||
"""Tests for QQ Official keyboard payload helpers."""
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
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,
|
||||
get_select_field_options,
|
||||
resolve_select_button_action,
|
||||
)
|
||||
|
||||
|
||||
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_qq_select_field_builds_callback_buttons():
|
||||
keyboard = build_keyboard_from_select_field(_select_form_data(), buttons_per_row=2)
|
||||
|
||||
rows = keyboard['content']['rows']
|
||||
assert [[button['render_data']['label'] for button in row['buttons']] for row in rows] == [
|
||||
['A', 'B'],
|
||||
['C'],
|
||||
]
|
||||
assert rows[0]['buttons'][0]['action']['data'] == f'{QQ_SELECT_ACTION_PREFIX}0'
|
||||
assert rows[0]['buttons'][1]['action']['data'] == f'{QQ_SELECT_ACTION_PREFIX}1'
|
||||
|
||||
|
||||
def test_qq_select_button_resolves_field_and_value():
|
||||
form_data = _select_form_data()
|
||||
|
||||
assert get_select_field_options(form_data) == ('choice', ['A', 'B', 'C'])
|
||||
assert resolve_select_button_action(form_data, f'{QQ_SELECT_ACTION_PREFIX}1') == ('choice', 'B')
|
||||
assert resolve_select_button_action(form_data, f'{QQ_SELECT_ACTION_PREFIX}99') is None
|
||||
|
||||
|
||||
def test_qq_select_keyboard_fits_twenty_five_options():
|
||||
form_data = _select_form_data()
|
||||
form_data['input_defs'][0]['option_source']['value'] = [f'Option {idx}' for idx in range(25)]
|
||||
|
||||
rows = build_keyboard_from_select_field(form_data)['content']['rows']
|
||||
|
||||
assert len(rows) == 5
|
||||
assert all(len(row['buttons']) == 5 for row in rows)
|
||||
|
||||
|
||||
def test_qq_non_select_field_does_not_build_keyboard():
|
||||
form_data = {
|
||||
'_current_input_field': 'comment',
|
||||
'input_defs': [{'output_variable_name': 'comment', 'type': 'paragraph'}],
|
||||
}
|
||||
|
||||
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.bot.send_markdown_keyboard = AsyncMock(return_value={'id': 'message-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_text_field_prompt_keeps_form_content():
|
||||
from langbot.pkg.platform.sources.qqofficial import QQOfficialAdapter
|
||||
|
||||
adapter = _stream_test_adapter()
|
||||
adapter._pending_forms = {}
|
||||
adapter._session_event_ids = {}
|
||||
adapter._anchor_msg_seq = {}
|
||||
source = MagicMock()
|
||||
source.d_id = 'source-1'
|
||||
source.t = 'C2C_MESSAGE_CREATE'
|
||||
event = MagicMock()
|
||||
event.source_platform_object = source
|
||||
event.sender.id = 'user-1'
|
||||
form_data = {
|
||||
'_current_input_field': 'us_input',
|
||||
'node_title': 'Manual input',
|
||||
'form_content': '1234\nEnter your question',
|
||||
'input_defs': [{'output_variable_name': 'us_input', 'type': 'paragraph'}],
|
||||
'actions': [{'id': 'yes', 'title': 'yes'}],
|
||||
}
|
||||
|
||||
with patch.object(QQOfficialAdapter, '_resolve_target_from_event', return_value=('c2c', 'user-1')):
|
||||
await adapter._handle_form_chunk(event, platform_message.MessageChain([]), form_data)
|
||||
|
||||
send_call = adapter.bot.send_markdown_keyboard.await_args.kwargs
|
||||
assert send_call['markdown_content'] == '### Manual input\n\n1234\nEnter your question'
|
||||
assert send_call['keyboard'] is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_qq_select_click_enqueues_input_progress_query():
|
||||
import langbot.pkg.core.app # noqa: F401
|
||||
from langbot.pkg.platform.sources.qqofficial import QQOfficialAdapter
|
||||
|
||||
adapter = QQOfficialAdapter.model_construct()
|
||||
adapter.logger = AsyncMock()
|
||||
adapter.bot = MagicMock()
|
||||
adapter.bot.ack_interaction = AsyncMock()
|
||||
adapter.ap = MagicMock()
|
||||
adapter.ap.platform_mgr.bots = []
|
||||
adapter.ap.query_pool.add_query = AsyncMock()
|
||||
adapter._pending_forms = {
|
||||
'group_group-1': {
|
||||
'form_data': {
|
||||
**_select_form_data(),
|
||||
'form_token': 'token-1',
|
||||
'workflow_run_id': 'run-1',
|
||||
'node_title': 'Review',
|
||||
'actions': [{'id': 'approve', 'title': 'Approve'}],
|
||||
},
|
||||
'sender_id': 'initiator-1',
|
||||
'posted_at': time.time(),
|
||||
}
|
||||
}
|
||||
adapter._session_event_ids = {}
|
||||
adapter._anchor_msg_seq = {}
|
||||
|
||||
await adapter._handle_interaction_create(
|
||||
{
|
||||
'id': 'interaction-1',
|
||||
'chat_type': 1,
|
||||
'group_openid': 'group-1',
|
||||
'member_openid': 'reviewer-2',
|
||||
'data': {'resolved': {'button_data': f'{QQ_SELECT_ACTION_PREFIX}1'}},
|
||||
},
|
||||
ws_event_id='event-1',
|
||||
)
|
||||
await asyncio.sleep(0)
|
||||
|
||||
call = adapter.ap.query_pool.add_query.await_args
|
||||
form_action = call.kwargs['variables']['_dify_form_action']
|
||||
assert call.kwargs['launcher_id'] == 'group-1'
|
||||
assert call.kwargs['sender_id'] == 'reviewer-2'
|
||||
assert form_action['action_id'] == ''
|
||||
assert form_action['inputs'] == {'select': 'B'}
|
||||
assert form_action['_current_input_field'] == 'choice'
|
||||
assert form_action['_input_progress'] is True
|
||||
adapter.bot.ack_interaction.assert_awaited_once_with('interaction-1', code=0)
|
||||
@@ -0,0 +1,158 @@
|
||||
"""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': {'index': 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
|
||||
|
||||
|
||||
def test_telegram_form_callback_cache_consumes_the_whole_form_group():
|
||||
adapter = TelegramAdapter.model_construct()
|
||||
adapter._form_action_titles = {}
|
||||
adapter._cache_form_action_titles({'callback-a': 'A', 'callback-b': 'B'}, now=100.0)
|
||||
|
||||
assert adapter._take_form_action_title('callback-a', now=101.0) == 'A'
|
||||
assert adapter._take_form_action_title('callback-a', now=101.0) is None
|
||||
assert adapter._take_form_action_title('callback-b', now=101.0) is None
|
||||
assert adapter._form_action_titles == {}
|
||||
|
||||
|
||||
def test_telegram_form_callback_cache_prunes_expired_entries():
|
||||
adapter = TelegramAdapter.model_construct()
|
||||
adapter._form_action_titles = {}
|
||||
adapter._cache_form_action_titles({'callback-a': 'A'}, now=100.0)
|
||||
|
||||
assert adapter._take_form_action_title('callback-a', now=100.0 + adapter._FORM_ACTION_CACHE_TTL) is None
|
||||
assert adapter._form_action_titles == {}
|
||||
|
||||
|
||||
def test_telegram_form_callback_cache_preserves_pipeline_uuid():
|
||||
adapter = TelegramAdapter.model_construct()
|
||||
adapter._form_action_titles = {}
|
||||
adapter._cache_form_action_titles(
|
||||
{'callback-a': 'Approve'},
|
||||
pipeline_uuid='pipeline-routed',
|
||||
now=100.0,
|
||||
)
|
||||
|
||||
assert adapter._take_form_action_context('callback-a', now=101.0) == (
|
||||
'Approve',
|
||||
'pipeline-routed',
|
||||
)
|
||||
|
||||
|
||||
@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 args['reply_markup'].input_field_placeholder == 'us_input'
|
||||
assert 'Please reply' not in args['text']
|
||||
assert args['text'].startswith('[人工介入]')
|
||||
assert 'us_input (paragraph)' in args['text']
|
||||
assert adapter._form_action_titles == {}
|
||||
@@ -0,0 +1,475 @@
|
||||
import sys
|
||||
import types
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
logger_module = types.ModuleType('langbot.pkg.platform.logger')
|
||||
logger_module.EventLogger = object
|
||||
sys.modules.setdefault('langbot.pkg.platform.logger', logger_module)
|
||||
|
||||
from langbot.libs.wecom_ai_bot_api.api import ( # noqa: E402
|
||||
WecomBotClient,
|
||||
build_button_interaction_payload,
|
||||
build_human_input_template_card_payload,
|
||||
build_button_interaction_update_card,
|
||||
build_multiple_interaction_update_card,
|
||||
extract_template_card_event_payload,
|
||||
extract_template_card_selections,
|
||||
extract_wecom_event_type,
|
||||
extract_template_card_action,
|
||||
build_human_input_text_prompt,
|
||||
parse_select_button_action,
|
||||
)
|
||||
from langbot.libs.wecom_ai_bot_api.ws_client import WecomBotWsClient # noqa: E402
|
||||
|
||||
|
||||
def test_extract_template_card_action_supports_nested_button_key():
|
||||
task_id, event_key, card_type = extract_template_card_action(
|
||||
{
|
||||
'taskId': 'task-1',
|
||||
'cardType': 'button_interaction',
|
||||
'button': {'key': 'approve'},
|
||||
}
|
||||
)
|
||||
|
||||
assert task_id == 'task-1'
|
||||
assert event_key == 'approve'
|
||||
assert card_type == 'button_interaction'
|
||||
|
||||
|
||||
def test_extract_wecom_event_type_supports_top_level_template_card_event():
|
||||
payload = {
|
||||
'eventtype': 'template_card_event',
|
||||
'template_card_event': {
|
||||
'TaskId': 'task-1',
|
||||
'CardType': 'multiple_interaction',
|
||||
'ResponseData': '{"select_list":[{"question_key":"choice","option_id":"opt_2"}]}',
|
||||
},
|
||||
}
|
||||
|
||||
assert extract_wecom_event_type(payload) == 'template_card_event'
|
||||
assert extract_template_card_event_payload(payload)['TaskId'] == 'task-1'
|
||||
|
||||
|
||||
def test_extract_wecom_event_type_infers_template_card_event_from_top_level_card_fields():
|
||||
payload = {
|
||||
'TaskId': 'task-1',
|
||||
'CardType': 'button_interaction',
|
||||
'EventKey': 'approve',
|
||||
}
|
||||
|
||||
assert extract_wecom_event_type(payload) == 'template_card_event'
|
||||
assert extract_template_card_event_payload(payload)['EventKey'] == 'approve'
|
||||
|
||||
|
||||
def test_build_button_interaction_update_card_marks_clicked_button():
|
||||
card = build_button_interaction_update_card(
|
||||
{
|
||||
'node_title': 'Manual Review',
|
||||
'form_content': 'Please choose one action.',
|
||||
'actions': [
|
||||
{'id': 'approve', 'title': 'Approve', 'button_style': 'primary'},
|
||||
{'id': 'reject', 'title': 'Reject', 'button_style': 'danger'},
|
||||
],
|
||||
},
|
||||
task_id='task-1',
|
||||
action_id='reject',
|
||||
source={'desc': 'LangBot'},
|
||||
)
|
||||
|
||||
assert card['main_title'] == {'title': 'Manual Review'}
|
||||
assert card['sub_title_text'] == 'Please choose one action.'
|
||||
assert card['button_list'][0] == {'text': 'Approve', 'style': 2, 'key': 'approve'}
|
||||
assert card['button_list'][1] == {
|
||||
'text': '✅ Reject',
|
||||
'style': 1,
|
||||
'key': 'reject',
|
||||
'replace_text': '✅ Reject',
|
||||
}
|
||||
assert card['source'] == {'desc': 'LangBot'}
|
||||
|
||||
|
||||
def test_build_button_interaction_payload_uses_preselected_button_styles_before_click():
|
||||
payload = build_button_interaction_payload(
|
||||
{
|
||||
'node_title': 'Manual Review',
|
||||
'actions': [
|
||||
{'id': 'approve', 'title': 'Approve', 'button_style': 'primary'},
|
||||
{'id': 'reject', 'title': 'Reject', 'button_style': 'danger'},
|
||||
],
|
||||
},
|
||||
task_id='task-1',
|
||||
)
|
||||
|
||||
assert payload['template_card']['button_list'] == [
|
||||
{'text': 'Approve', 'style': 2, 'key': 'approve'},
|
||||
{'text': 'Reject', 'style': 2, 'key': 'reject'},
|
||||
]
|
||||
|
||||
|
||||
def test_build_payload_uses_multiple_interaction_for_pending_select_field():
|
||||
payload = build_human_input_template_card_payload(
|
||||
{
|
||||
'node_title': 'Manual Review',
|
||||
'form_content': 'Choose a label\n\n{{#$output.choice#}}',
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
'inputs': {},
|
||||
'actions': [{'id': 'yes', 'title': 'Yes'}],
|
||||
},
|
||||
task_id='task-1',
|
||||
source={'desc': 'LangBot'},
|
||||
)
|
||||
|
||||
card = payload['template_card']
|
||||
assert card['card_type'] == 'multiple_interaction'
|
||||
assert card['source'] == {'desc': 'LangBot'}
|
||||
assert card['select_list'] == [
|
||||
{
|
||||
'question_key': 'choice',
|
||||
'title': 'choice',
|
||||
'selected_id': 'opt_1',
|
||||
'option_list': [
|
||||
{'id': 'opt_1', 'text': 'A'},
|
||||
{'id': 'opt_2', 'text': 'B'},
|
||||
],
|
||||
}
|
||||
]
|
||||
assert card['submit_button'] == {'text': 'Submit', 'key': 'submit_human_input'}
|
||||
|
||||
|
||||
def test_build_payload_can_emulate_select_as_buttons_for_wecombot_ws():
|
||||
form_data = {
|
||||
'node_title': 'Manual Review',
|
||||
'form_content': 'Choose a label\n\n{{#$output.choice#}}',
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
'inputs': {},
|
||||
'actions': [{'id': 'yes', 'title': 'Yes'}],
|
||||
}
|
||||
payload = build_human_input_template_card_payload(
|
||||
form_data,
|
||||
task_id='task-1',
|
||||
select_as_buttons=True,
|
||||
)
|
||||
|
||||
card = payload['template_card']
|
||||
assert card['card_type'] == 'button_interaction'
|
||||
assert card['button_list'][0]['text'] == 'A'
|
||||
assert parse_select_button_action(card['button_list'][1]['key'], form_data) == {'choice': 'B'}
|
||||
|
||||
|
||||
def test_text_input_card_uses_current_stage_content_without_direct_reply_prompt():
|
||||
payload = build_human_input_template_card_payload(
|
||||
{
|
||||
'node_title': '人工介入',
|
||||
'form_content': '11\n请输入你的问题\n\n{{#$output.us_input#}}',
|
||||
'raw_form_content': ('11\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}'),
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'us_input',
|
||||
'type': 'paragraph',
|
||||
'label': '请输入你的问题',
|
||||
}
|
||||
],
|
||||
'inputs': {},
|
||||
'actions': [{'id': 'yes', 'title': 'yes'}],
|
||||
'_current_input_field': 'us_input',
|
||||
},
|
||||
task_id='task-1',
|
||||
)
|
||||
|
||||
card = payload['template_card']
|
||||
assert 'desc' not in card['main_title']
|
||||
assert card['sub_title_text'] == '11\n请输入你的问题'
|
||||
assert card['button_list'] == []
|
||||
|
||||
|
||||
def test_build_human_input_text_prompt_for_current_text_field():
|
||||
prompt = build_human_input_text_prompt(
|
||||
{
|
||||
'node_title': '人工介入',
|
||||
'form_content': '11\n请输入你的问题\n{{#$output.us_input#}}',
|
||||
'raw_form_content': ('11\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}'),
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'us_input',
|
||||
'type': 'paragraph',
|
||||
'label': '请输入你的问题',
|
||||
}
|
||||
],
|
||||
'_current_input_field': 'us_input',
|
||||
}
|
||||
)
|
||||
|
||||
assert prompt == '人工介入\n\n11\n请输入你的问题'
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_ws_push_form_pause_sends_text_prompt_without_empty_card():
|
||||
client = WecomBotWsClient('bot-id', 'secret', object())
|
||||
client._stream_ids['msg-1'] = 'req-1|stream-1'
|
||||
client._stream_sessions['msg-1'] = {'user_id': 'user-1'}
|
||||
sent = []
|
||||
|
||||
async def fake_reply_text(req_id, content):
|
||||
sent.append((req_id, content))
|
||||
return {}
|
||||
|
||||
client.reply_text = fake_reply_text
|
||||
|
||||
ok, stream_id, task_id = await client.push_form_pause(
|
||||
'msg-1',
|
||||
{
|
||||
'node_title': '人工介入',
|
||||
'form_content': '11\n请输入你的问题\n{{#$output.us_input#}}',
|
||||
'raw_form_content': ('11\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}'),
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'us_input',
|
||||
'type': 'paragraph',
|
||||
'label': '请输入你的问题',
|
||||
}
|
||||
],
|
||||
'_current_input_field': 'us_input',
|
||||
},
|
||||
)
|
||||
|
||||
assert ok is True
|
||||
assert stream_id == 'stream-1'
|
||||
assert task_id is None
|
||||
assert sent == [('req-1', '人工介入\n\n11\n请输入你的问题')]
|
||||
assert client._pending_forms_by_task == {}
|
||||
assert 'msg-1' not in client._stream_ids
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_ws_stream_sends_cumulative_snapshots_to_wecom():
|
||||
client = WecomBotWsClient('bot-id', 'secret', object())
|
||||
client._stream_ids['msg-1'] = 'req-1|stream-1'
|
||||
client._stream_sessions['msg-1'] = {}
|
||||
sent = []
|
||||
|
||||
async def fake_reply_stream(req_id, stream_id, content, finish=False, feedback_id=''):
|
||||
sent.append((req_id, stream_id, content, finish))
|
||||
return {}
|
||||
|
||||
client.reply_stream = fake_reply_stream
|
||||
|
||||
assert await client.push_stream_chunk('msg-1', '你', is_final=False)
|
||||
assert await client.push_stream_chunk('msg-1', '你好', is_final=False)
|
||||
assert await client.push_stream_chunk('msg-1', '你好', is_final=True)
|
||||
|
||||
assert sent == [
|
||||
('req-1', 'stream-1', '你', False),
|
||||
('req-1', 'stream-1', '你好', False),
|
||||
('req-1', 'stream-1', '你好', True),
|
||||
]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_webhook_stream_queues_cumulative_snapshots_for_followups():
|
||||
client = WecomBotClient('', '', '', object(), unified_mode=True)
|
||||
session, _ = client.stream_sessions.create_or_get({'msgid': 'msg-1', 'chatid': '', 'from': {'userid': 'user-1'}})
|
||||
|
||||
assert await client.push_stream_chunk('msg-1', '你', is_final=False)
|
||||
assert await client.push_stream_chunk('msg-1', '你好', is_final=False)
|
||||
assert await client.push_stream_chunk('msg-1', '你好', is_final=True)
|
||||
|
||||
chunks = [
|
||||
await client.stream_sessions.consume(session.stream_id),
|
||||
await client.stream_sessions.consume(session.stream_id),
|
||||
await client.stream_sessions.consume(session.stream_id),
|
||||
]
|
||||
assert [(chunk.content, chunk.is_final) for chunk in chunks] == [
|
||||
('你', False),
|
||||
('你好', False),
|
||||
('你好', True),
|
||||
]
|
||||
|
||||
|
||||
def test_human_input_payload_keeps_action_select_stage_as_buttons():
|
||||
payload = build_human_input_template_card_payload(
|
||||
{
|
||||
'node_title': 'Manual Review',
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
'inputs': {'choice': 'B'},
|
||||
'actions': [
|
||||
{'id': 'approve', 'title': 'Approve'},
|
||||
{'id': 'reject', 'title': 'Reject'},
|
||||
],
|
||||
'_action_select_only': True,
|
||||
},
|
||||
task_id='task-1',
|
||||
)
|
||||
|
||||
card = payload['template_card']
|
||||
assert card['card_type'] == 'button_interaction'
|
||||
assert card['button_list'] == [
|
||||
{'text': 'Approve', 'style': 2, 'key': 'approve'},
|
||||
{'text': 'Reject', 'style': 2, 'key': 'reject'},
|
||||
]
|
||||
|
||||
|
||||
def test_extract_template_card_selections_maps_selected_id_to_option_text():
|
||||
selections = extract_template_card_selections(
|
||||
{
|
||||
'SelectedItems': [
|
||||
{'QuestionKey': 'choice', 'SelectedId': 'opt_2'},
|
||||
],
|
||||
},
|
||||
{
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
},
|
||||
)
|
||||
|
||||
assert selections == {'choice': 'B'}
|
||||
|
||||
|
||||
def test_extract_template_card_selections_reads_nested_response_data_json():
|
||||
selections = extract_template_card_selections(
|
||||
{
|
||||
'CardType': 'multiple_interaction',
|
||||
'ResponseData': '{"select_list":[{"question_key":"choice","option_id":"opt_2"}]}',
|
||||
},
|
||||
{
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
},
|
||||
)
|
||||
|
||||
assert selections == {'choice': 'B'}
|
||||
|
||||
|
||||
def test_extract_template_card_selections_reads_response_data_direct_mapping():
|
||||
selections = extract_template_card_selections(
|
||||
{
|
||||
'CardType': 'multiple_interaction',
|
||||
'EventKey': 'submit_human_input',
|
||||
'ResponseData': '{"choice":"opt_2"}',
|
||||
},
|
||||
{
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
},
|
||||
)
|
||||
|
||||
assert selections == {'choice': 'B'}
|
||||
|
||||
|
||||
def test_build_multiple_interaction_update_card_disables_selected_value_without_submitted_text():
|
||||
card = build_multiple_interaction_update_card(
|
||||
{
|
||||
'node_title': 'Manual Review',
|
||||
'form_content': 'Choose a label\n{{#$output.choice#}}',
|
||||
'raw_form_content': 'Choose a label\n{{#$output.choice#}}',
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'choice',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['A', 'B']},
|
||||
}
|
||||
],
|
||||
'_current_input_field': 'choice',
|
||||
},
|
||||
task_id='task-1',
|
||||
selections={'choice': 'B'},
|
||||
)
|
||||
|
||||
assert card['card_type'] == 'multiple_interaction'
|
||||
assert card['main_title']['desc'] == 'Choose a label\n✅ choice：B'
|
||||
assert card['submit_button']['text'] == '✅'
|
||||
assert card['select_list'][0]['disable'] is True
|
||||
assert card['select_list'][0]['selected_id'] == 'opt_2'
|
||||
|
||||
|
||||
def test_select_stage_only_shows_current_prompt_in_a_separate_message():
|
||||
raw_content = '11\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}'
|
||||
payload = build_human_input_template_card_payload(
|
||||
{
|
||||
'node_title': '人工介入',
|
||||
'form_content': '请选择你的答案\n{{#$output.xiala#}}',
|
||||
'raw_form_content': raw_content,
|
||||
'input_defs': [
|
||||
{
|
||||
'output_variable_name': 'xiala',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['1', '2']},
|
||||
}
|
||||
],
|
||||
'all_input_defs': [
|
||||
{'output_variable_name': 'us_input', 'type': 'paragraph'},
|
||||
{
|
||||
'output_variable_name': 'xiala',
|
||||
'type': 'select',
|
||||
'option_source': {'type': 'constant', 'value': ['1', '2']},
|
||||
},
|
||||
],
|
||||
'inputs': {'us_input': '你叫啥'},
|
||||
'_current_input_field': 'xiala',
|
||||
},
|
||||
task_id='task-1',
|
||||
)
|
||||
|
||||
assert payload['template_card']['main_title']['desc'] == '请选择你的答案'
|
||||
|
||||
|
||||
def test_action_stage_only_shows_content_after_fields_without_placeholders():
|
||||
raw_content = '11\n请输入你的问题\n{{#$output.us_input#}}\n请选择你的答案\n{{#$output.xiala#}}\n请选择操作'
|
||||
payload = build_human_input_template_card_payload(
|
||||
{
|
||||
'node_title': '人工介入',
|
||||
'form_content': raw_content,
|
||||
'raw_form_content': raw_content,
|
||||
'input_defs': [],
|
||||
'all_input_defs': [
|
||||
{'output_variable_name': 'us_input', 'type': 'paragraph'},
|
||||
{'output_variable_name': 'xiala', 'type': 'select'},
|
||||
],
|
||||
'inputs': {'us_input': '你叫啥', 'xiala': '2'},
|
||||
'actions': [
|
||||
{'id': 'yes', 'title': 'yes'},
|
||||
{'id': 'no', 'title': 'no'},
|
||||
],
|
||||
'_action_select_only': True,
|
||||
},
|
||||
task_id='task-1',
|
||||
)
|
||||
|
||||
card = payload['template_card']
|
||||
assert card['sub_title_text'] == '请选择操作'
|
||||
assert '{{#$output.' not in card['sub_title_text']
|
||||
assert [button['text'] for button in card['button_list']] == ['yes', 'no']
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user