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:
Twirre Meulenbelt
2025-12-29 17:12:02 +01:00
parent 57b1276cb5
commit 42ee5c76d8
10 changed files with 530 additions and 92 deletions

View File

@@ -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)