test: create tests for belief extractor agent
Includes changes in schemas. Change type of `norms` in `Program` imperceptibly, big changes in schema of `BeliefMessage` to support deleting beliefs. ref: N25B-380
This commit is contained in:
@@ -51,7 +51,7 @@ async def test_handle_belief_collector_message(agent, mock_settings):
|
||||
msg = InternalMessage(
|
||||
to="bdi_agent",
|
||||
sender=mock_settings.agent_settings.bdi_belief_collector_name,
|
||||
body=BeliefMessage(beliefs=beliefs).model_dump_json(),
|
||||
body=BeliefMessage(create=beliefs).model_dump_json(),
|
||||
thread="beliefs",
|
||||
)
|
||||
|
||||
@@ -64,6 +64,26 @@ async def test_handle_belief_collector_message(agent, mock_settings):
|
||||
assert args[2] == agentspeak.Literal("user_said", (agentspeak.Literal("Hello"),))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_delete_belief_message(agent, mock_settings):
|
||||
"""Test that incoming beliefs to be deleted are removed from the BDI agent"""
|
||||
beliefs = [Belief(name="user_said", arguments=["Hello"])]
|
||||
|
||||
msg = InternalMessage(
|
||||
to="bdi_agent",
|
||||
sender=mock_settings.agent_settings.bdi_belief_collector_name,
|
||||
body=BeliefMessage(delete=beliefs).model_dump_json(),
|
||||
thread="beliefs",
|
||||
)
|
||||
await agent.handle_message(msg)
|
||||
|
||||
# Expect bdi_agent.call to be triggered to remove belief
|
||||
args = agent.bdi_agent.call.call_args.args
|
||||
assert args[0] == agentspeak.Trigger.removal
|
||||
assert args[1] == agentspeak.GoalType.belief
|
||||
assert args[2] == agentspeak.Literal("user_said", (agentspeak.Literal("Hello"),))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_incorrect_belief_collector_message(agent, mock_settings):
|
||||
"""Test that incorrect message format triggers an exception."""
|
||||
@@ -128,7 +148,8 @@ def test_add_belief_sets_event(agent):
|
||||
agent._wake_bdi_loop = MagicMock()
|
||||
|
||||
belief = Belief(name="test_belief", arguments=["a", "b"])
|
||||
agent._apply_beliefs([belief])
|
||||
belief_changes = BeliefMessage(replace=[belief])
|
||||
agent._apply_belief_changes(belief_changes)
|
||||
|
||||
assert agent.bdi_agent.call.called
|
||||
agent._wake_bdi_loop.set.assert_called()
|
||||
@@ -137,7 +158,7 @@ def test_add_belief_sets_event(agent):
|
||||
def test_apply_beliefs_empty_returns(agent):
|
||||
"""Line: if not beliefs: return"""
|
||||
agent._wake_bdi_loop = MagicMock()
|
||||
agent._apply_beliefs([])
|
||||
agent._apply_belief_changes(BeliefMessage())
|
||||
agent.bdi_agent.call.assert_not_called()
|
||||
agent._wake_bdi_loop.set.assert_not_called()
|
||||
|
||||
@@ -220,8 +241,9 @@ def test_replace_belief_calls_remove_all(agent):
|
||||
agent._remove_all_with_name = MagicMock()
|
||||
agent._wake_bdi_loop = MagicMock()
|
||||
|
||||
belief = Belief(name="user_said", arguments=["Hello"], replace=True)
|
||||
agent._apply_beliefs([belief])
|
||||
belief = Belief(name="user_said", arguments=["Hello"])
|
||||
belief_changes = BeliefMessage(replace=[belief])
|
||||
agent._apply_belief_changes(belief_changes)
|
||||
|
||||
agent._remove_all_with_name.assert_called_with("user_said")
|
||||
|
||||
|
||||
@@ -86,7 +86,7 @@ async def test_send_beliefs_to_bdi(agent):
|
||||
sent: InternalMessage = agent.send.call_args.args[0]
|
||||
assert sent.to == settings.agent_settings.bdi_core_name
|
||||
assert sent.thread == "beliefs"
|
||||
assert json.loads(sent.body)["beliefs"] == [belief.model_dump() for belief in beliefs]
|
||||
assert json.loads(sent.body)["create"] == [belief.model_dump() for belief in beliefs]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
|
||||
346
test/unit/agents/bdi/test_text_belief_extractor.py
Normal file
346
test/unit/agents/bdi/test_text_belief_extractor.py
Normal file
@@ -0,0 +1,346 @@
|
||||
import json
|
||||
import uuid
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import httpx
|
||||
import pytest
|
||||
|
||||
from control_backend.agents.bdi import TextBeliefExtractorAgent
|
||||
from control_backend.core.agent_system import InternalMessage
|
||||
from control_backend.core.config import settings
|
||||
from control_backend.schemas.belief_message import BeliefMessage
|
||||
from control_backend.schemas.program import (
|
||||
ConditionalNorm,
|
||||
LLMAction,
|
||||
Phase,
|
||||
Plan,
|
||||
Program,
|
||||
SemanticBelief,
|
||||
Trigger,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def agent():
|
||||
agent = TextBeliefExtractorAgent("text_belief_agent")
|
||||
agent.send = AsyncMock()
|
||||
agent._query_llm = AsyncMock()
|
||||
return agent
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_program():
|
||||
return Program(
|
||||
phases=[
|
||||
Phase(
|
||||
name="Some phase",
|
||||
id=uuid.uuid4(),
|
||||
norms=[
|
||||
ConditionalNorm(
|
||||
name="Some norm",
|
||||
id=uuid.uuid4(),
|
||||
norm="Use nautical terms.",
|
||||
critical=False,
|
||||
condition=SemanticBelief(
|
||||
name="is_pirate",
|
||||
id=uuid.uuid4(),
|
||||
description="The user is a pirate. Perhaps because they say "
|
||||
"they are, or because they speak like a pirate "
|
||||
'with terms like "arr".',
|
||||
),
|
||||
),
|
||||
],
|
||||
goals=[],
|
||||
triggers=[
|
||||
Trigger(
|
||||
name="Some trigger",
|
||||
id=uuid.uuid4(),
|
||||
condition=SemanticBelief(
|
||||
name="no_more_booze",
|
||||
id=uuid.uuid4(),
|
||||
description="There is no more alcohol.",
|
||||
),
|
||||
plan=Plan(
|
||||
name="Some plan",
|
||||
id=uuid.uuid4(),
|
||||
steps=[
|
||||
LLMAction(
|
||||
name="Some action",
|
||||
id=uuid.uuid4(),
|
||||
goal="Suggest eating chocolate instead.",
|
||||
),
|
||||
],
|
||||
),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def make_msg(sender: str, body: str, thread: str | None = None) -> InternalMessage:
|
||||
return InternalMessage(to="unused", sender=sender, body=body, thread=thread)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_message_ignores_other_agents(agent):
|
||||
msg = make_msg("unknown", "some data", None)
|
||||
|
||||
await agent.handle_message(msg)
|
||||
|
||||
agent.send.assert_not_called() # noqa # `agent.send` has no such property, but we mock it.
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_message_from_transcriber(agent, mock_settings):
|
||||
transcription = "hello world"
|
||||
msg = make_msg(mock_settings.agent_settings.transcription_name, transcription, None)
|
||||
|
||||
await agent.handle_message(msg)
|
||||
|
||||
agent.send.assert_awaited_once() # noqa # `agent.send` has no such property, but we mock it.
|
||||
sent: InternalMessage = agent.send.call_args.args[0] # noqa
|
||||
assert sent.to == mock_settings.agent_settings.bdi_belief_collector_name
|
||||
assert sent.thread == "beliefs"
|
||||
parsed = json.loads(sent.body)
|
||||
assert parsed == {"beliefs": {"user_said": [transcription]}, "type": "belief_extraction_text"}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_user_said(agent, mock_settings):
|
||||
transcription = "this is a test"
|
||||
|
||||
await agent._user_said(transcription)
|
||||
|
||||
agent.send.assert_awaited_once() # noqa # `agent.send` has no such property, but we mock it.
|
||||
sent: InternalMessage = agent.send.call_args.args[0] # noqa
|
||||
assert sent.to == mock_settings.agent_settings.bdi_belief_collector_name
|
||||
assert sent.thread == "beliefs"
|
||||
parsed = json.loads(sent.body)
|
||||
assert parsed["beliefs"]["user_said"] == [transcription]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_llm():
|
||||
mock_response = MagicMock()
|
||||
mock_response.json.return_value = {
|
||||
"choices": [
|
||||
{
|
||||
"message": {
|
||||
"content": "null",
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
mock_client = AsyncMock()
|
||||
mock_client.post.return_value = mock_response
|
||||
mock_async_client = MagicMock()
|
||||
mock_async_client.__aenter__.return_value = mock_client
|
||||
mock_async_client.__aexit__.return_value = None
|
||||
|
||||
with patch(
|
||||
"control_backend.agents.bdi.text_belief_extractor_agent.httpx.AsyncClient",
|
||||
return_value=mock_async_client,
|
||||
):
|
||||
agent = TextBeliefExtractorAgent("text_belief_agent")
|
||||
|
||||
res = await agent._query_llm("hello world", {"type": "null"})
|
||||
# Response content was set as "null", so should be deserialized as None
|
||||
assert res is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_retry_query_llm_success(agent):
|
||||
agent._query_llm.return_value = None
|
||||
res = await agent._retry_query_llm("hello world", {"type": "null"})
|
||||
|
||||
agent._query_llm.assert_called_once()
|
||||
assert res is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_retry_query_llm_success_after_failure(agent):
|
||||
agent._query_llm.side_effect = [KeyError(), "real value"]
|
||||
res = await agent._retry_query_llm("hello world", {"type": "string"})
|
||||
|
||||
assert agent._query_llm.call_count == 2
|
||||
assert res == "real value"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_retry_query_llm_failures(agent):
|
||||
agent._query_llm.side_effect = [KeyError(), KeyError(), KeyError(), "real value"]
|
||||
res = await agent._retry_query_llm("hello world", {"type": "string"})
|
||||
|
||||
assert agent._query_llm.call_count == 3
|
||||
assert res is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_retry_query_llm_fail_immediately(agent):
|
||||
agent._query_llm.side_effect = [KeyError(), "real value"]
|
||||
res = await agent._retry_query_llm("hello world", {"type": "string"}, tries=1)
|
||||
|
||||
assert agent._query_llm.call_count == 1
|
||||
assert res is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_extracting_beliefs_from_program(agent, sample_program):
|
||||
assert len(agent.available_beliefs) == 0
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.bdi_program_manager_name,
|
||||
body=sample_program.model_dump_json(),
|
||||
),
|
||||
)
|
||||
assert len(agent.available_beliefs) == 2
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_invalid_program(agent, sample_program):
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
assert len(agent.available_beliefs) == 2
|
||||
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.bdi_program_manager_name,
|
||||
body=json.dumps({"phases": "Invalid"}),
|
||||
),
|
||||
)
|
||||
|
||||
assert len(agent.available_beliefs) == 2
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_robot_response(agent):
|
||||
initial_length = len(agent.conversation.messages)
|
||||
response = "Hi, I'm Pepper. What's your name?"
|
||||
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.llm_name,
|
||||
body=response,
|
||||
),
|
||||
)
|
||||
|
||||
assert len(agent.conversation.messages) == initial_length + 1
|
||||
assert agent.conversation.messages[-1].role == "assistant"
|
||||
assert agent.conversation.messages[-1].content == response
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_simulated_real_turn_with_beliefs(agent, sample_program):
|
||||
"""Test sending user message to extract beliefs from."""
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
|
||||
# Send a user message with the belief that there's no more booze
|
||||
agent._query_llm.return_value = {"is_pirate": None, "no_more_booze": True}
|
||||
assert len(agent.conversation.messages) == 0
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.transcription_name,
|
||||
body="We're all out of schnaps.",
|
||||
),
|
||||
)
|
||||
assert len(agent.conversation.messages) == 1
|
||||
|
||||
# There should be a belief set and sent to the BDI core, as well as the user_said belief
|
||||
assert agent.send.call_count == 2
|
||||
|
||||
# First should be the beliefs message
|
||||
message: InternalMessage = agent.send.call_args_list[0].args[0]
|
||||
beliefs = BeliefMessage.model_validate_json(message.body)
|
||||
assert len(beliefs.create) == 1
|
||||
assert beliefs.create[0].name == "no_more_booze"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_simulated_real_turn_no_beliefs(agent, sample_program):
|
||||
"""Test a user message to extract beliefs from, but no beliefs are formed."""
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
|
||||
# Send a user message with no new beliefs
|
||||
agent._query_llm.return_value = {"is_pirate": None, "no_more_booze": None}
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.transcription_name,
|
||||
body="Hello there!",
|
||||
),
|
||||
)
|
||||
|
||||
# Only the user_said belief should've been sent
|
||||
agent.send.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_simulated_real_turn_no_new_beliefs(agent, sample_program):
|
||||
"""
|
||||
Test a user message to extract beliefs from, but no new beliefs are formed because they already
|
||||
existed.
|
||||
"""
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
agent.beliefs["is_pirate"] = True
|
||||
|
||||
# Send a user message with the belief the user is a pirate, still
|
||||
agent._query_llm.return_value = {"is_pirate": True, "no_more_booze": None}
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.transcription_name,
|
||||
body="Arr, nice to meet you, matey.",
|
||||
),
|
||||
)
|
||||
|
||||
# Only the user_said belief should've been sent, as no beliefs have changed
|
||||
agent.send.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_simulated_real_turn_remove_belief(agent, sample_program):
|
||||
"""
|
||||
Test a user message to extract beliefs from, but an existing belief is determined no longer to
|
||||
hold.
|
||||
"""
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
agent.beliefs["no_more_booze"] = True
|
||||
|
||||
# Send a user message with the belief the user is a pirate, still
|
||||
agent._query_llm.return_value = {"is_pirate": None, "no_more_booze": False}
|
||||
await agent.handle_message(
|
||||
InternalMessage(
|
||||
to=settings.agent_settings.text_belief_extractor_name,
|
||||
sender=settings.agent_settings.transcription_name,
|
||||
body="I found an untouched barrel of wine!",
|
||||
),
|
||||
)
|
||||
|
||||
# Both user_said and belief change should've been sent
|
||||
assert agent.send.call_count == 2
|
||||
|
||||
# Agent's current beliefs should've changed
|
||||
assert not agent.beliefs["no_more_booze"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_llm_failure_handling(agent, sample_program):
|
||||
"""
|
||||
Check that the agent handles failures gracefully without crashing.
|
||||
"""
|
||||
agent._query_llm.side_effect = httpx.HTTPError("")
|
||||
agent.available_beliefs.append(sample_program.phases[0].norms[0].condition)
|
||||
agent.available_beliefs.append(sample_program.phases[0].triggers[0].condition)
|
||||
|
||||
belief_changes = await agent._infer_turn()
|
||||
|
||||
assert len(belief_changes) == 0
|
||||
@@ -1,58 +0,0 @@
|
||||
import json
|
||||
from unittest.mock import AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
from control_backend.agents.bdi import (
|
||||
TextBeliefExtractorAgent,
|
||||
)
|
||||
from control_backend.core.agent_system import InternalMessage
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def agent():
|
||||
agent = TextBeliefExtractorAgent("text_belief_agent")
|
||||
agent.send = AsyncMock()
|
||||
return agent
|
||||
|
||||
|
||||
def make_msg(sender: str, body: str, thread: str | None = None) -> InternalMessage:
|
||||
return InternalMessage(to="unused", sender=sender, body=body, thread=thread)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_message_ignores_other_agents(agent):
|
||||
msg = make_msg("unknown", "some data", None)
|
||||
|
||||
await agent.handle_message(msg)
|
||||
|
||||
agent.send.assert_not_called() # noqa # `agent.send` has no such property, but we mock it.
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_message_from_transcriber(agent, mock_settings):
|
||||
transcription = "hello world"
|
||||
msg = make_msg(mock_settings.agent_settings.transcription_name, transcription, None)
|
||||
|
||||
await agent.handle_message(msg)
|
||||
|
||||
agent.send.assert_awaited_once() # noqa # `agent.send` has no such property, but we mock it.
|
||||
sent: InternalMessage = agent.send.call_args.args[0] # noqa
|
||||
assert sent.to == mock_settings.agent_settings.bdi_belief_collector_name
|
||||
assert sent.thread == "beliefs"
|
||||
parsed = json.loads(sent.body)
|
||||
assert parsed == {"beliefs": {"user_said": [transcription]}, "type": "belief_extraction_text"}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_process_user_said(agent, mock_settings):
|
||||
transcription = "this is a test"
|
||||
|
||||
await agent._user_said(transcription)
|
||||
|
||||
agent.send.assert_awaited_once() # noqa # `agent.send` has no such property, but we mock it.
|
||||
sent: InternalMessage = agent.send.call_args.args[0] # noqa
|
||||
assert sent.to == mock_settings.agent_settings.bdi_belief_collector_name
|
||||
assert sent.thread == "beliefs"
|
||||
parsed = json.loads(sent.body)
|
||||
assert parsed["beliefs"]["user_said"] == [transcription]
|
||||
@@ -5,11 +5,15 @@ from pydantic import ValidationError
|
||||
|
||||
from control_backend.schemas.program import (
|
||||
BasicNorm,
|
||||
ConditionalNorm,
|
||||
Goal,
|
||||
InferredBelief,
|
||||
KeywordBelief,
|
||||
LogicalOperator,
|
||||
Phase,
|
||||
Plan,
|
||||
Program,
|
||||
SemanticBelief,
|
||||
Trigger,
|
||||
)
|
||||
|
||||
@@ -97,3 +101,104 @@ def test_invalid_program():
|
||||
bad = invalid_program()
|
||||
with pytest.raises(ValidationError):
|
||||
Program.model_validate(bad)
|
||||
|
||||
|
||||
def test_conditional_norm_parsing():
|
||||
"""
|
||||
Check that pydantic is able to preserve the type of the norm, that it doesn't lose its
|
||||
"condition" field when serializing and deserializing.
|
||||
"""
|
||||
norm = ConditionalNorm(
|
||||
name="testNormName",
|
||||
id=uuid.uuid4(),
|
||||
norm="testNormNorm",
|
||||
critical=False,
|
||||
condition=KeywordBelief(
|
||||
name="testKeywordBelief",
|
||||
id=uuid.uuid4(),
|
||||
keyword="testKeywordBelief",
|
||||
),
|
||||
)
|
||||
program = Program(
|
||||
phases=[
|
||||
Phase(
|
||||
name="Some phase",
|
||||
id=uuid.uuid4(),
|
||||
norms=[norm],
|
||||
goals=[],
|
||||
triggers=[],
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
parsed_program = Program.model_validate_json(program.model_dump_json())
|
||||
parsed_norm = parsed_program.phases[0].norms[0]
|
||||
|
||||
assert hasattr(parsed_norm, "condition")
|
||||
assert isinstance(parsed_norm, ConditionalNorm)
|
||||
|
||||
|
||||
def test_belief_type_parsing():
|
||||
"""
|
||||
Check that pydantic is able to discern between the different types of beliefs when serializing
|
||||
and deserializing.
|
||||
"""
|
||||
keyword_belief = KeywordBelief(
|
||||
name="testKeywordBelief",
|
||||
id=uuid.uuid4(),
|
||||
keyword="something",
|
||||
)
|
||||
semantic_belief = SemanticBelief(
|
||||
name="testSemanticBelief",
|
||||
id=uuid.uuid4(),
|
||||
description="something",
|
||||
)
|
||||
inferred_belief = InferredBelief(
|
||||
name="testInferredBelief",
|
||||
id=uuid.uuid4(),
|
||||
operator=LogicalOperator.OR,
|
||||
left=keyword_belief,
|
||||
right=semantic_belief,
|
||||
)
|
||||
|
||||
program = Program(
|
||||
phases=[
|
||||
Phase(
|
||||
name="Some phase",
|
||||
id=uuid.uuid4(),
|
||||
norms=[],
|
||||
goals=[],
|
||||
triggers=[
|
||||
Trigger(
|
||||
name="testTriggerKeywordTrigger",
|
||||
id=uuid.uuid4(),
|
||||
condition=keyword_belief,
|
||||
plan=Plan(name="testTriggerPlanName", id=uuid.uuid4(), steps=[]),
|
||||
),
|
||||
Trigger(
|
||||
name="testTriggerSemanticTrigger",
|
||||
id=uuid.uuid4(),
|
||||
condition=semantic_belief,
|
||||
plan=Plan(name="testTriggerPlanName", id=uuid.uuid4(), steps=[]),
|
||||
),
|
||||
Trigger(
|
||||
name="testTriggerInferredTrigger",
|
||||
id=uuid.uuid4(),
|
||||
condition=inferred_belief,
|
||||
plan=Plan(name="testTriggerPlanName", id=uuid.uuid4(), steps=[]),
|
||||
),
|
||||
],
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
parsed_program = Program.model_validate_json(program.model_dump_json())
|
||||
|
||||
parsed_keyword_belief = parsed_program.phases[0].triggers[0].condition
|
||||
assert isinstance(parsed_keyword_belief, KeywordBelief)
|
||||
|
||||
parsed_semantic_belief = parsed_program.phases[0].triggers[1].condition
|
||||
assert isinstance(parsed_semantic_belief, SemanticBelief)
|
||||
|
||||
parsed_inferred_belief = parsed_program.phases[0].triggers[2].condition
|
||||
assert isinstance(parsed_inferred_belief, InferredBelief)
|
||||
|
||||
Reference in New Issue
Block a user