mirror of
https://github.com/langbot-app/LangBot.git
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RockChinQ
122 lines
4.0 KiB
Python
122 lines
4.0 KiB
Python
"""Shared admission and real embedded artifact schema regressions."""
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import copy
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import json
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from pathlib import Path
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from types import SimpleNamespace as NS
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import pytest
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import sqlalchemy as sa
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from tests.unit_tests.api.service.test_pipeline_migration import (
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env as migration_env,
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execute,
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WS,
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SOURCE,
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RID,
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planner,
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)
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from langbot.pkg.agent.runner.interaction_store import InteractionStore, InteractionScopeError
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from langbot.pkg.entity.persistence.agent_interaction import AgentInteraction
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@pytest.fixture
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async def env(tmp_path, monkeypatch):
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async for value in migration_env.__wrapped__(tmp_path, monkeypatch):
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yield value
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async def request(env, **kwargs):
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return await InteractionStore(env.pm.get_db_engine()).create_request(
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interaction_id='form',
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run_id='run',
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binding_id='binding',
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runner_id=RID,
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processor_type='pipeline',
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processor_id='one',
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workspace_id=WS,
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request={},
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delivery_target={},
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expected_config=copy.deepcopy(SOURCE),
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authority_check=lambda: True,
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**kwargs,
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)
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@pytest.mark.asyncio
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async def test_stale_writer_after_commit_rejected(env):
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original = env.svc._activate
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async def activate(*args):
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with pytest.raises(InteractionScopeError):
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await request(env)
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return await original(*args)
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env.svc._activate = activate
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task = await execute(env)
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assert task.task_context.metadata['results'][0]['state'] == 'migrated'
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with pytest.raises(InteractionScopeError):
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await request(env)
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async with env.engine.connect() as conn:
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assert not (await conn.execute(sa.select(AgentInteraction))).all()
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@pytest.mark.asyncio
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async def test_writer_requires_pipeline_authority(env):
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with pytest.raises(InteractionScopeError):
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await InteractionStore(env.engine).create_request(
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interaction_id='form',
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run_id='run',
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binding_id='binding',
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runner_id=RID,
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processor_type='pipeline',
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processor_id='one',
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workspace_id=WS,
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request={},
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delivery_target={},
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)
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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'folder,field,good,bad',
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[
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('LangflowAgent', 'tweaks', {'node': {'value': 1}}, ['not-an-object']),
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('WeKnoraAgent', 'knowledge-base-ids', ['kb-a'], [1]),
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],
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)
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async def test_embedded_artifact_schema_types(env, folder, field, good, bad):
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root = Path(__file__).parent / 'fixtures'
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artifact = 'langflow-agent' if folder == 'LangflowAgent' else 'weknora-agent'
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spec = {'config': json.loads((root / (artifact + '-artifact-schema.json')).read_text())}
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kind = 'json' if folder == 'LangflowAgent' else 'array[string]'
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schema = next(s for s in spec['config'] if s['type'] == kind)
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descriptor = env.ap.runner_registry.list_runners.return_value[0]
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descriptor.config_schema = [schema]
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plan = planner(SOURCE)
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plan['config']['ai']['runner_config'][RID] = {schema['name']: good}
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await env.svc._verify_runtime(NS(workspace_uuid=WS), plan)
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plan['config']['ai']['runner_config'][RID][schema['name']] = bad
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with pytest.raises(env.m.MigrationError, match='runner_schema_incompatible'):
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await env.svc._verify_runtime(NS(workspace_uuid=WS), plan)
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def test_conversation_authority_is_captured_before_runner_returns():
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from langbot.pkg.agent.runner.interaction_manager import InteractionManager
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old, new = NS(), NS()
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config = planner(SOURCE)['config']
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query = NS(pipeline_config=config, pipeline_uuid='one', session=NS(using_conversation=new))
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binding = NS(
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processor_type='pipeline', processor_id='one', runner_id=RID, runner_config=config['ai']['runner_config'][RID]
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)
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authority = InteractionManager._pipeline_admission(
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binding,
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NS(id=RID),
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{
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'_query': query,
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'_pipeline_expected_config': copy.deepcopy(config),
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'_pipeline_conversation': old,
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},
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)
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assert authority['authority_check']() is False
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