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feat: Add the function for formatting human input text to support adapters without rich UI.

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This commit is contained in:
fdc310
2026-06-10 15:41:18 +08:00
parent d0f65b17ec
commit e08b5db625
2 changed files with 105 additions and 17 deletions
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54
src/langbot/pkg/platform/sources/lark.py
View File

@@ -2250,7 +2250,59 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
'vertical_align': 'top',
'margin': '0px 0px 0px 0px',
'weight': 1,
}
},
*(
[]
if form_data
else [
{
'tag': 'column',
'width': '20px',
'elements': [
{
'tag': 'button',
'text': {'tag': 'plain_text', 'content': ''},
'type': 'text',
'width': 'fill',
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '有帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
'padding': '0px 0px 0px 0px',
'direction': 'vertical',
'horizontal_spacing': '8px',
'vertical_spacing': '8px',
'horizontal_align': 'left',
'vertical_align': 'top',
'margin': '0px 0px 0px 0px',
},
{
'tag': 'column',
'width': '30px',
'elements': [
{
'tag': 'button',
'text': {'tag': 'plain_text', 'content': ''},
'type': 'text',
'width': 'default',
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '无帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
'padding': '0px 0px 0px 0px',
'vertical_spacing': '8px',
'horizontal_align': 'left',
'vertical_align': 'top',
'margin': '0px 0px 0px 0px',
},
]
),
],
'margin': '0px 0px 4px 0px',
},

68
src/langbot/pkg/provider/runners/difysvapi.py
View File

@@ -114,6 +114,29 @@ def _clear_pending_form(session_key: str, form_token: str | None = None) -> None
_PENDING_FORMS.pop(session_key, None)
def _format_human_input_text(
node_title: str,
form_content: str,
actions: list[dict[str, typing.Any]],
) -> str:
"""Render a paused-workflow human-input prompt as plain text.
Used by adapters without rich UI (no buttons/cards) so users can reply
with the option number or the option title to resume the workflow.
"""
lines: list[str] = [f'[Human Input Required] {node_title or ""}'.rstrip()]
if form_content:
lines.append('')
lines.append(form_content)
if actions:
lines.append('')
lines.append('Reply with the number or title to continue:')
for idx, action in enumerate(actions, start=1):
title = action.get('title') or action.get('id') or ''
lines.append(f' {idx}. {title}')
return '\n'.join(lines)
@runner.runner_class('dify-service-api')
class DifyServiceAPIRunner(runner.RequestRunner):
"""Dify Service API 对话请求器"""
@@ -520,14 +543,37 @@ class DifyServiceAPIRunner(runner.RequestRunner):
def _match_pending_form_action(self, session_key: str, user_text: str) -> dict | None:
"""Match plain text replies against pending Dify form actions.
Iterates all pending forms newest-first; the first action whose
title/id matches the text wins. This means when multiple forms are
pending with the same button label, the most recent one resolves.
Resolution order:
1. A pure digit reply (e.g. "1", "2") maps to the 1-indexed action of
the most recent pending form. Lets users on plain-text platforms
pick options without retyping titles.
2. Otherwise, iterate pending forms newest-first and match each
action's title/id case-insensitively. The first hit wins, so when
two forms share a button label the newer one resolves.
"""
normalized_text = user_text.strip().lower()
if not normalized_text:
return None
def _build(pending_form: dict, action: dict) -> dict:
return {
'form_token': pending_form.get('form_token', ''),
'workflow_run_id': pending_form.get('workflow_run_id', ''),
'action_id': action.get('id', ''),
'action_title': action.get('title', action.get('id', '')),
'node_title': pending_form.get('node_title', ''),
'inputs': pending_form.get('inputs', {}),
'user': pending_form.get('user', ''),
}
if normalized_text.isdigit():
position = int(normalized_text)
latest_form = _get_latest_pending_form(session_key)
if latest_form is not None:
actions = latest_form.get('actions', [])
if 1 <= position <= len(actions):
return _build(latest_form, actions[position - 1])
for pending_form in _iter_pending_forms(session_key):
for action in pending_form.get('actions', []):
titles = {
@@ -535,15 +581,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
str(action.get('id', '')).strip().lower(),
}
if normalized_text in titles:
return {
'form_token': pending_form.get('form_token', ''),
'workflow_run_id': pending_form.get('workflow_run_id', ''),
'action_id': action.get('id', ''),
'action_title': action.get('title', action.get('id', '')),
'node_title': pending_form.get('node_title', ''),
'inputs': pending_form.get('inputs', {}),
'user': pending_form.get('user', ''),
}
return _build(pending_form, action)
return None
@@ -636,8 +674,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
'node_title': node_title,
}
action_lines = '\n'.join(f'- [{a.get("title", a.get("id", ""))}]' for a in actions)
display_text = f'[Human Input Required] {node_title}\n{form_content}\n{action_lines}'
display_text = _format_human_input_text(node_title, form_content, actions)
human_input_yielded = True
yield provider_message.Message(
@@ -1139,8 +1176,7 @@ class DifyServiceAPIRunner(runner.RequestRunner):
'node_title': node_title,
}
action_lines = '\n'.join(f'- [{a.get("title", a.get("id", ""))}]' for a in actions)
display_text = f'[Human Input Required] {node_title}\n{form_content}\n{action_lines}'
display_text = _format_human_input_text(node_title, form_content, actions)
workflow_contents += display_text + '\n'
# Save form data to attach to the final chunk later.