test: make tests work again after changing Program schema
ref: N25B-380
This commit is contained in:
@@ -89,9 +89,9 @@ class BDICoreAgent(BaseAgent):
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the agent has deferred intentions (deadlines).
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"""
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while self._running:
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# await (
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# self._wake_bdi_loop.wait()
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# ) # gets set whenever there's an update to the belief base
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await (
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self._wake_bdi_loop.wait()
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) # gets set whenever there's an update to the belief base
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# Agent knows when it's expected to have to do its next thing
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maybe_more_work = True
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@@ -1,6 +1,6 @@
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import asyncio
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import json
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import sys
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import uuid
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from unittest.mock import AsyncMock
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import pytest
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@@ -8,31 +8,45 @@ import pytest
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from control_backend.agents.bdi.bdi_program_manager import BDIProgramManager
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from control_backend.core.agent_system import InternalMessage
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from control_backend.schemas.belief_message import BeliefMessage
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from control_backend.schemas.program import Program
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from control_backend.schemas.program import BasicNorm, Goal, Phase, Plan, Program
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# Fix Windows Proactor loop for zmq
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if sys.platform.startswith("win"):
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asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
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def make_valid_program_json(norm="N1", goal="G1"):
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return json.dumps(
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{
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"phases": [
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{
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"id": "phase1",
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"label": "Phase 1",
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"triggers": [],
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"norms": [{"id": "n1", "label": "Norm 1", "norm": norm}],
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"goals": [
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{"id": "g1", "label": "Goal 1", "description": goal, "achieved": False}
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],
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}
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]
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}
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)
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def make_valid_program_json(norm="N1", goal="G1") -> str:
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return Program(
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phases=[
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Phase(
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id=uuid.uuid4(),
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name="Basic Phase",
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norms=[
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BasicNorm(
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id=uuid.uuid4(),
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name=norm,
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norm=norm,
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),
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],
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goals=[
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Goal(
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id=uuid.uuid4(),
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name=goal,
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plan=Plan(
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id=uuid.uuid4(),
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name="Goal Plan",
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steps=[],
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),
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can_fail=False,
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),
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],
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triggers=[],
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),
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],
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).model_dump_json()
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@pytest.mark.skip(reason="Functionality being rebuilt.")
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@pytest.mark.asyncio
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async def test_send_to_bdi():
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manager = BDIProgramManager(name="program_manager_test")
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@@ -73,5 +87,5 @@ async def test_receive_programs_valid_and_invalid():
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# Only valid Program should have triggered _send_to_bdi
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assert manager._send_to_bdi.await_count == 1
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forwarded: Program = manager._send_to_bdi.await_args[0][0]
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assert forwarded.phases[0].norms[0].norm == "N1"
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assert forwarded.phases[0].goals[0].description == "G1"
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assert forwarded.phases[0].norms[0].name == "N1"
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assert forwarded.phases[0].goals[0].name == "G1"
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@@ -45,10 +45,10 @@ async def test_handle_message_from_transcriber(agent, mock_settings):
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@pytest.mark.asyncio
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async def test_process_transcription_demo(agent, mock_settings):
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async def test_process_user_said(agent, mock_settings):
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transcription = "this is a test"
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await agent._process_transcription_demo(transcription)
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await agent._user_said(transcription)
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agent.send.assert_awaited_once() # noqa # `agent.send` has no such property, but we mock it.
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sent: InternalMessage = agent.send.call_args.args[0] # noqa
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@@ -56,10 +56,3 @@ async def test_process_transcription_demo(agent, mock_settings):
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assert sent.thread == "beliefs"
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parsed = json.loads(sent.body)
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assert parsed["beliefs"]["user_said"] == [transcription]
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@pytest.mark.asyncio
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async def test_setup_initializes_beliefs(agent):
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"""Covers the setup method and ensures beliefs are initialized."""
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await agent.setup()
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assert agent.beliefs == {"mood": ["X"], "car": ["Y"]}
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@@ -66,7 +66,7 @@ async def test_llm_processing_success(mock_httpx_client, mock_settings):
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# "Hello world." constitutes one sentence/chunk based on punctuation split
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# The agent should call send once with the full sentence
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assert agent.send.called
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args = agent.send.call_args[0][0]
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args = agent.send.call_args_list[0][0][0]
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assert args.to == mock_settings.agent_settings.bdi_core_name
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assert "Hello world." in args.body
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@@ -1,4 +1,5 @@
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import json
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import uuid
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from unittest.mock import AsyncMock
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import pytest
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@@ -6,7 +7,7 @@ from fastapi import FastAPI
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from fastapi.testclient import TestClient
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from control_backend.api.v1.endpoints import program
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from control_backend.schemas.program import Program
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from control_backend.schemas.program import BasicNorm, Goal, Phase, Plan, Program
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@pytest.fixture
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@@ -25,29 +26,37 @@ def client(app):
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def make_valid_program_dict():
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"""Helper to create a valid Program JSON structure."""
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return {
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"phases": [
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{
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"id": "phase1",
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"label": "basephase",
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"norms": [{"id": "n1", "label": "norm", "norm": "be nice"}],
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"goals": [
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{"id": "g1", "label": "goal", "description": "test goal", "achieved": False}
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# Converting to JSON using Pydantic because it knows how to convert a UUID object
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program_json_str = Program(
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phases=[
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Phase(
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id=uuid.uuid4(),
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name="Basic Phase",
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norms=[
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BasicNorm(
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id=uuid.uuid4(),
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name="Some norm",
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norm="Do normal.",
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),
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],
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"triggers": [
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{
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"id": "t1",
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"label": "trigger",
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"type": "keywords",
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"keywords": [
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{"id": "kw1", "keyword": "keyword1"},
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{"id": "kw2", "keyword": "keyword2"},
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],
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},
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goals=[
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Goal(
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id=uuid.uuid4(),
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name="Some goal",
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plan=Plan(
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id=uuid.uuid4(),
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name="Goal Plan",
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steps=[],
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),
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can_fail=False,
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),
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],
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}
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]
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}
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triggers=[],
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),
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],
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).model_dump_json()
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# Converting back to a dict because that's what's expected
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return json.loads(program_json_str)
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def test_receive_program_success(client):
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@@ -71,7 +80,8 @@ def test_receive_program_success(client):
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sent_bytes = args[0][1]
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sent_obj = json.loads(sent_bytes.decode())
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expected_obj = Program.model_validate(program_dict).model_dump()
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# Converting to JSON using Pydantic because it knows how to handle UUIDs
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expected_obj = json.loads(Program.model_validate(program_dict).model_dump_json())
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assert sent_obj == expected_obj
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@@ -1,49 +1,61 @@
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import uuid
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import pytest
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from pydantic import ValidationError
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from control_backend.schemas.program import (
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BasicNorm,
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Goal,
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KeywordTrigger,
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Norm,
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KeywordBelief,
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Phase,
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Plan,
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Program,
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TriggerKeyword,
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Trigger,
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)
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def base_norm() -> Norm:
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return Norm(
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id="norm1",
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label="testNorm",
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def base_norm() -> BasicNorm:
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return BasicNorm(
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id=uuid.uuid4(),
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name="testNormName",
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norm="testNormNorm",
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critical=False,
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)
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def base_goal() -> Goal:
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return Goal(
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id="goal1",
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label="testGoal",
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description="testGoalDescription",
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achieved=False,
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id=uuid.uuid4(),
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name="testGoalName",
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plan=Plan(
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id=uuid.uuid4(),
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name="testGoalPlanName",
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steps=[],
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),
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can_fail=False,
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)
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def base_trigger() -> KeywordTrigger:
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return KeywordTrigger(
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id="trigger1",
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label="testTrigger",
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type="keywords",
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keywords=[
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TriggerKeyword(id="keyword1", keyword="testKeyword1"),
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TriggerKeyword(id="keyword1", keyword="testKeyword2"),
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],
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def base_trigger() -> Trigger:
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return Trigger(
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id=uuid.uuid4(),
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name="testTriggerName",
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condition=KeywordBelief(
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id=uuid.uuid4(),
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name="testTriggerKeywordBeliefTriggerName",
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keyword="Keyword",
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),
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plan=Plan(
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id=uuid.uuid4(),
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name="testTriggerPlanName",
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steps=[],
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),
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)
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def base_phase() -> Phase:
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return Phase(
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id="phase1",
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label="basephase",
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id=uuid.uuid4(),
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norms=[base_norm()],
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goals=[base_goal()],
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triggers=[base_trigger()],
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@@ -58,7 +70,7 @@ def invalid_program() -> dict:
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# wrong types inside phases list (not Phase objects)
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return {
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"phases": [
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{"id": "phase1"}, # incomplete
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{"id": uuid.uuid4()}, # incomplete
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{"not_a_phase": True},
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]
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}
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@@ -77,8 +89,8 @@ def test_valid_deepprogram():
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# validate nested components directly
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phase = validated.phases[0]
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assert isinstance(phase.goals[0], Goal)
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assert isinstance(phase.triggers[0], KeywordTrigger)
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assert isinstance(phase.norms[0], Norm)
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assert isinstance(phase.triggers[0], Trigger)
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assert isinstance(phase.norms[0], BasicNorm)
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def test_invalid_program():
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