360 lines
14 KiB
Python
360 lines
14 KiB
Python
from __future__ import annotations
|
|
|
|
import json
|
|
import tempfile
|
|
import unittest
|
|
from pathlib import Path
|
|
|
|
from src.agent_tools import build_tool_context, default_tool_registry, execute_tool
|
|
from src.agent_types import AgentRuntimeConfig
|
|
from src.data_agent_records import (
|
|
confirm_generation_plan,
|
|
get_generation_plan,
|
|
normalize_dataset_draft,
|
|
prepare_generation_plan,
|
|
update_generation_plan,
|
|
validate_dataset_records,
|
|
)
|
|
|
|
|
|
class DataAgentRecordTests(unittest.TestCase):
|
|
def test_normalize_dataset_draft_builds_canonical_records(self) -> None:
|
|
draft = '''
|
|
# dataset_label: 地图和生活边界数据
|
|
|
|
### case: 附近餐饮查询
|
|
用户: 帮我看看附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
notes: 附近生活服务查询
|
|
|
|
### case: 多轮承接附近餐饮
|
|
用户: 我想出门逛逛
|
|
小爱: 好的
|
|
用户: 看看附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
notes: 多轮承接附近生活服务查询
|
|
'''.strip()
|
|
|
|
payload = normalize_dataset_draft(
|
|
draft,
|
|
batch_id='demo',
|
|
base_timestamp=1_755_567_930_500,
|
|
timestamp_step_ms=60_000,
|
|
)
|
|
|
|
self.assertEqual(payload['warnings'], [])
|
|
records = payload['records']
|
|
self.assertEqual(len(records), 2)
|
|
self.assertEqual(records[0]['record_id'], 'gen_demo_000001')
|
|
self.assertEqual(records[0]['turn']['query'], '帮我看看附近有什么好吃的')
|
|
self.assertEqual(records[0]['prev_session'], [])
|
|
self.assertEqual(records[0]['label']['target_type'], 'agent')
|
|
self.assertEqual(records[1]['turn']['query'], '看看附近有什么好吃的')
|
|
self.assertEqual(
|
|
records[1]['prev_session'],
|
|
[
|
|
{
|
|
'query': '我想出门逛逛',
|
|
'tts': '好的',
|
|
'timestamp': 1_755_569_070_500,
|
|
}
|
|
],
|
|
)
|
|
|
|
def test_validate_dataset_records_reports_valid_payload(self) -> None:
|
|
records = normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 地图和生活边界数据
|
|
### case: 附近餐饮查询
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
base_timestamp=1_755_567_930_500,
|
|
)['records']
|
|
|
|
result = validate_dataset_records(records)
|
|
|
|
self.assertTrue(result['ok'])
|
|
self.assertEqual(result['error_count'], 0)
|
|
|
|
def test_validate_dataset_records_rejects_current_turn_tts(self) -> None:
|
|
records = normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 地图和生活边界数据
|
|
### case: 附近餐饮查询
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
base_timestamp=1_755_567_930_500,
|
|
)['records']
|
|
records[0]['turn']['tts'] = '不应该出现'
|
|
|
|
result = validate_dataset_records(records)
|
|
|
|
self.assertFalse(result['ok'])
|
|
self.assertEqual(result['errors'][0]['path'], 'records[0].turn.tts')
|
|
|
|
def test_normalize_online_draft_uses_real_request_metadata(self) -> None:
|
|
records = normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 线上误召回badcase专项
|
|
### case: 线上样例
|
|
request_id: rid-123
|
|
timestamp: 1755567930500
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
source_type='online',
|
|
)['records']
|
|
|
|
self.assertEqual(records[0]['record_id'], 'online_rid-123_000001')
|
|
self.assertEqual(records[0]['source']['request_id'], 'rid-123')
|
|
self.assertEqual(records[0]['source']['timestamp'], 1_755_567_930_500)
|
|
|
|
def test_normalize_requires_confirmed_plan_when_state_root_is_provided(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
with self.assertRaisesRegex(Exception, 'confirmed_plan_id is required'):
|
|
normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 地图和生活边界数据
|
|
### case: 附近餐饮查询
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
plan_state_root=tmp_dir,
|
|
)
|
|
|
|
def test_generation_plan_can_be_confirmed_then_used(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
plan_payload = prepare_generation_plan(
|
|
root=tmp_dir,
|
|
dataset_label='地图和生活边界数据',
|
|
target='Agent(tag="life_service")',
|
|
total_count=2,
|
|
turn_mix='1 条单轮,1 条多轮',
|
|
coverage='附近吃喝玩乐',
|
|
exclusions='不要生成导航路线类 query',
|
|
output_path='tasks/demo/artifacts',
|
|
)
|
|
plan_id = plan_payload['plan']['plan_id']
|
|
confirmed = confirm_generation_plan(root=tmp_dir, plan_id=plan_id, confirmation='确认,开始生成')
|
|
records = normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 地图和生活边界数据
|
|
### case: 附近餐饮查询
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
confirmed_plan_id=confirmed['confirmed_plan_id'],
|
|
plan_state_root=tmp_dir,
|
|
)['records']
|
|
|
|
self.assertEqual(records[0]['label']['dataset_label'], '地图和生活边界数据')
|
|
|
|
def test_generation_plan_dedupes_existing_task_output_path(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
existing = Path(tmp_dir) / 'tasks' / 'demo' / 'artifacts'
|
|
existing.mkdir(parents=True)
|
|
plan_payload = prepare_generation_plan(
|
|
root=tmp_dir,
|
|
dataset_label='地图和生活边界数据',
|
|
target='Agent(tag="life_service")',
|
|
total_count=2,
|
|
turn_mix='1 条单轮,1 条多轮',
|
|
coverage='附近吃喝玩乐',
|
|
exclusions='不要生成导航路线类 query',
|
|
output_path='tasks/demo/artifacts',
|
|
)
|
|
|
|
self.assertEqual(
|
|
plan_payload['plan']['output_path'],
|
|
'tasks/demo-data_plan_000001/artifacts',
|
|
)
|
|
self.assertEqual(plan_payload['plan']['requested_output_path'], 'tasks/demo/artifacts')
|
|
|
|
def test_generation_plan_review_update_and_revision_confirmation(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
plan_payload = prepare_generation_plan(
|
|
root=tmp_dir,
|
|
dataset_label='地图和生活边界数据',
|
|
target='Agent(tag="life_service")',
|
|
total_count=2,
|
|
turn_mix='1 条单轮,1 条多轮',
|
|
coverage='附近吃喝玩乐',
|
|
exclusions='不要生成导航路线类 query',
|
|
output_path='tasks/demo/artifacts',
|
|
)
|
|
plan_id = plan_payload['plan']['plan_id']
|
|
updated = update_generation_plan(
|
|
root=tmp_dir,
|
|
plan_id=plan_id,
|
|
review_feedback='多轮数据多一点',
|
|
updates={'turn_mix': '1 条单轮,3 条多轮', 'total_count': 4},
|
|
)
|
|
|
|
self.assertEqual(updated['plan']['revision'], 2)
|
|
self.assertEqual(updated['plan']['turn_mix'], '1 条单轮,3 条多轮')
|
|
self.assertEqual(len(updated['plan']['review_history']), 1)
|
|
shown = get_generation_plan(root=tmp_dir, plan_id=plan_id)
|
|
self.assertEqual(shown['plan']['revision'], 2)
|
|
with self.assertRaisesRegex(Exception, 'reviewed_revision must match'):
|
|
confirm_generation_plan(
|
|
root=tmp_dir,
|
|
plan_id=plan_id,
|
|
confirmation='确认,开始生成',
|
|
reviewed_revision=1,
|
|
)
|
|
confirmed = confirm_generation_plan(
|
|
root=tmp_dir,
|
|
plan_id=plan_id,
|
|
confirmation='确认,开始生成',
|
|
reviewed_revision=2,
|
|
)
|
|
|
|
self.assertEqual(confirmed['plan']['status'], 'confirmed')
|
|
self.assertEqual(confirmed['plan']['confirmed_revision'], 2)
|
|
|
|
def test_multi_target_plan_allows_only_declared_targets(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
plan_payload = prepare_generation_plan(
|
|
root=tmp_dir,
|
|
dataset_label='餐饮和导航边界数据',
|
|
target='',
|
|
target_definitions=[
|
|
{
|
|
'name': '餐饮服务',
|
|
'target': 'Agent(tag="餐饮服务")',
|
|
'rule': '找附近美食但不导航',
|
|
},
|
|
{
|
|
'name': '地图导航',
|
|
'target': 'Agent(tag="地图导航")',
|
|
'rule': '明确要求导航去某地',
|
|
},
|
|
],
|
|
total_count=2,
|
|
turn_mix='2 条单轮',
|
|
coverage='餐饮服务和地图导航边界',
|
|
exclusions='不要生成无关闲聊',
|
|
output_path='tasks/demo/artifacts',
|
|
)
|
|
plan_id = plan_payload['plan']['plan_id']
|
|
confirm_generation_plan(root=tmp_dir, plan_id=plan_id, confirmation='确认,开始生成')
|
|
records = normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 餐饮和导航边界数据
|
|
### case: 找奶茶
|
|
用户: 附近有没有奶茶店
|
|
target: Agent(tag="餐饮服务")
|
|
### case: 导航去奶茶店
|
|
用户: 导航去最近的奶茶店
|
|
target: Agent(tag="地图导航")
|
|
'''.strip(),
|
|
confirmed_plan_id=plan_id,
|
|
plan_state_root=tmp_dir,
|
|
)['records']
|
|
|
|
self.assertEqual(records[0]['label']['target'], 'Agent(tag="餐饮服务")')
|
|
self.assertEqual(records[1]['label']['target'], 'Agent(tag="地图导航")')
|
|
|
|
def test_multi_target_plan_rejects_undeclared_targets(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
plan_payload = prepare_generation_plan(
|
|
root=tmp_dir,
|
|
dataset_label='餐饮和导航边界数据',
|
|
target='',
|
|
target_definitions=[
|
|
{'target': 'Agent(tag="餐饮服务")'},
|
|
{'target': 'Agent(tag="地图导航")'},
|
|
],
|
|
total_count=1,
|
|
turn_mix='1 条单轮',
|
|
coverage='餐饮服务和地图导航边界',
|
|
exclusions='不要生成无关闲聊',
|
|
output_path='tasks/demo/artifacts',
|
|
)
|
|
plan_id = plan_payload['plan']['plan_id']
|
|
confirm_generation_plan(root=tmp_dir, plan_id=plan_id, confirmation='确认,开始生成')
|
|
with self.assertRaisesRegex(Exception, 'record targets must match'):
|
|
normalize_dataset_draft(
|
|
'''
|
|
# dataset_label: 餐饮和导航边界数据
|
|
### case: 天气
|
|
用户: 明天天气怎么样
|
|
target: Agent(tag="天气")
|
|
'''.strip(),
|
|
confirmed_plan_id=plan_id,
|
|
plan_state_root=tmp_dir,
|
|
)
|
|
|
|
def test_tools_execute_against_registry(self) -> None:
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
context = build_tool_context(AgentRuntimeConfig(cwd=Path(tmp_dir)))
|
|
plan_result = execute_tool(
|
|
default_tool_registry(),
|
|
'data_agent_prepare_generation_plan',
|
|
{
|
|
'dataset_label': '地图和生活边界数据',
|
|
'target': 'Agent(tag="life_service")',
|
|
'total_count': 1,
|
|
'turn_mix': '1 条单轮',
|
|
'coverage': '附近吃喝玩乐',
|
|
'exclusions': '不要生成导航路线类 query',
|
|
'output_path': 'tasks/demo/artifacts',
|
|
},
|
|
context,
|
|
)
|
|
self.assertTrue(plan_result.ok)
|
|
plan_id = json.loads(plan_result.content)['plan']['plan_id']
|
|
update_result = execute_tool(
|
|
default_tool_registry(),
|
|
'data_agent_update_generation_plan',
|
|
{
|
|
'plan_id': plan_id,
|
|
'review_feedback': '多轮不需要,先只测单轮',
|
|
'updates': {'turn_mix': '1 条单轮'},
|
|
},
|
|
context,
|
|
)
|
|
self.assertTrue(update_result.ok)
|
|
revision = json.loads(update_result.content)['plan']['revision']
|
|
confirm_result = execute_tool(
|
|
default_tool_registry(),
|
|
'data_agent_confirm_generation_plan',
|
|
{'plan_id': plan_id, 'confirmation': '确认,开始生成', 'reviewed_revision': revision},
|
|
context,
|
|
)
|
|
self.assertTrue(confirm_result.ok)
|
|
normalize_result = execute_tool(
|
|
default_tool_registry(),
|
|
'data_agent_normalize_dataset_draft',
|
|
{
|
|
'draft_text': '''
|
|
# dataset_label: 地图和生活边界数据
|
|
### case: 附近餐饮查询
|
|
用户: 附近有什么好吃的
|
|
target: Agent(tag="life_service")
|
|
'''.strip(),
|
|
'batch_id': 'demo',
|
|
'base_timestamp': 1_755_567_930_500,
|
|
'confirmed_plan_id': plan_id,
|
|
},
|
|
context,
|
|
)
|
|
self.assertTrue(normalize_result.ok)
|
|
records = json.loads(normalize_result.content)['records']
|
|
|
|
validate_result = execute_tool(
|
|
default_tool_registry(),
|
|
'data_agent_validate_dataset_records',
|
|
{'records': records},
|
|
context,
|
|
)
|
|
|
|
self.assertTrue(validate_result.ok)
|
|
self.assertTrue(json.loads(validate_result.content)['ok'])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|