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Covers edge cases in every Pydantic model from replicalab.models and
validator behaviour from replicalab.utils.validation that are not
already tested in test_models.py and test_validation.py.
"""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from replicalab.models import (
ConversationEntry,
EpisodeLog,
EpisodeState,
LabManagerAction,
LabManagerActionType,
LabManagerObservation,
Observation,
Protocol,
RewardBreakdown,
ScientistAction,
ScientistActionType,
ScientistObservation,
StepInfo,
StepResult,
)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _minimal_accept() -> dict:
return {
"action_type": "accept",
"sample_size": 0,
"controls": [],
"technique": "",
"duration_days": 0,
"required_equipment": [],
"required_reagents": [],
"questions": [],
"rationale": "",
}
def _minimal_request_info() -> dict:
return {
"action_type": "request_info",
"sample_size": 0,
"controls": [],
"technique": "",
"duration_days": 0,
"required_equipment": [],
"required_reagents": [],
"questions": ["What equipment is available?"],
"rationale": "",
}
def _minimal_propose() -> dict:
return {
"action_type": "propose_protocol",
"sample_size": 10,
"controls": ["baseline"],
"technique": "grid_search",
"duration_days": 5,
"required_equipment": ["compute"],
"required_reagents": ["data"],
"questions": [],
"rationale": "A simple plan.",
}
def _lm_accept() -> dict:
return {
"action_type": "accept",
"feasible": True,
"budget_ok": True,
"equipment_ok": True,
"reagents_ok": True,
"schedule_ok": True,
"staff_ok": True,
"suggested_technique": "",
"suggested_sample_size": 0,
"suggested_controls": [],
"explanation": "All constraints are satisfied.",
}
def _lm_reject() -> dict:
return {
"action_type": "reject",
"feasible": False,
"budget_ok": True,
"equipment_ok": False,
"reagents_ok": True,
"schedule_ok": True,
"staff_ok": True,
"suggested_technique": "",
"suggested_sample_size": 0,
"suggested_controls": [],
"explanation": "The equipment is unavailable.",
}
def _lm_report() -> dict:
return {
"action_type": "report_feasibility",
"feasible": True,
"budget_ok": True,
"equipment_ok": True,
"reagents_ok": True,
"schedule_ok": True,
"staff_ok": True,
"suggested_technique": "",
"suggested_sample_size": 0,
"suggested_controls": [],
"explanation": "Feasible as proposed.",
}
# ===================================================================
# ScientistAction — edge cases
# ===================================================================
class TestScientistActionEdgeCases:
def test_accept_valid_minimal(self) -> None:
action = ScientistAction.model_validate(_minimal_accept())
assert action.action_type is ScientistActionType.ACCEPT
def test_accept_rejects_questions(self) -> None:
payload = _minimal_accept()
payload["questions"] = ["Why?"]
with pytest.raises(ValidationError, match="questions must be empty for accept"):
ScientistAction.model_validate(payload)
def test_accept_rejects_protocol_payload(self) -> None:
payload = _minimal_accept()
payload["sample_size"] = 10
with pytest.raises(ValidationError, match="accept cannot include protocol"):
ScientistAction.model_validate(payload)
def test_revise_protocol_valid(self) -> None:
payload = _minimal_propose()
payload["action_type"] = "revise_protocol"
action = ScientistAction.model_validate(payload)
assert action.action_type is ScientistActionType.REVISE_PROTOCOL
def test_revise_rejects_zero_sample(self) -> None:
payload = _minimal_propose()
payload["action_type"] = "revise_protocol"
payload["sample_size"] = 0
with pytest.raises(ValidationError, match="sample_size must be >= 1"):
ScientistAction.model_validate(payload)
def test_propose_rejects_empty_technique(self) -> None:
payload = _minimal_propose()
payload["technique"] = ""
with pytest.raises(ValidationError, match="technique is required"):
ScientistAction.model_validate(payload)
def test_propose_rejects_empty_rationale(self) -> None:
payload = _minimal_propose()
payload["rationale"] = ""
with pytest.raises(ValidationError, match="rationale is required"):
ScientistAction.model_validate(payload)
def test_propose_rejects_questions(self) -> None:
payload = _minimal_propose()
payload["questions"] = ["Why?"]
with pytest.raises(ValidationError, match="questions must be empty"):
ScientistAction.model_validate(payload)
def test_request_info_valid(self) -> None:
action = ScientistAction.model_validate(_minimal_request_info())
assert action.action_type is ScientistActionType.REQUEST_INFO
def test_whitespace_stripping_in_lists(self) -> None:
payload = _minimal_propose()
payload["controls"] = [" baseline ", " positive "]
action = ScientistAction.model_validate(payload)
assert action.controls == ["baseline", "positive"]
def test_empty_string_in_list_rejects(self) -> None:
payload = _minimal_propose()
payload["controls"] = ["baseline", ""]
with pytest.raises(ValidationError, match="non-empty"):
ScientistAction.model_validate(payload)
def test_whitespace_only_in_list_rejects(self) -> None:
payload = _minimal_propose()
payload["required_equipment"] = ["compute", " "]
with pytest.raises(ValidationError, match="non-empty"):
ScientistAction.model_validate(payload)
def test_negative_sample_size_rejects(self) -> None:
payload = _minimal_propose()
payload["sample_size"] = -1
with pytest.raises(ValidationError):
ScientistAction.model_validate(payload)
def test_negative_duration_days_rejects(self) -> None:
payload = _minimal_propose()
payload["duration_days"] = -5
with pytest.raises(ValidationError):
ScientistAction.model_validate(payload)
def test_enum_value_access(self) -> None:
assert ScientistActionType.PROPOSE_PROTOCOL.value == "propose_protocol"
assert ScientistActionType.REVISE_PROTOCOL.value == "revise_protocol"
assert ScientistActionType.REQUEST_INFO.value == "request_info"
assert ScientistActionType.ACCEPT.value == "accept"
# ===================================================================
# LabManagerAction — edge cases
# ===================================================================
class TestLabManagerActionEdgeCases:
def test_accept_valid(self) -> None:
action = LabManagerAction.model_validate(_lm_accept())
assert action.action_type is LabManagerActionType.ACCEPT
assert action.feasible is True
def test_accept_rejects_infeasible(self) -> None:
payload = _lm_accept()
payload["feasible"] = False
payload["equipment_ok"] = False
with pytest.raises(ValidationError, match="accept requires feasible=true"):
LabManagerAction.model_validate(payload)
def test_reject_valid(self) -> None:
action = LabManagerAction.model_validate(_lm_reject())
assert action.action_type is LabManagerActionType.REJECT
assert action.feasible is False
def test_reject_rejects_feasible(self) -> None:
payload = _lm_reject()
payload["feasible"] = True
payload["equipment_ok"] = True
with pytest.raises(ValidationError, match="reject requires feasible=false"):
LabManagerAction.model_validate(payload)
def test_report_feasibility_valid(self) -> None:
action = LabManagerAction.model_validate(_lm_report())
assert action.action_type is LabManagerActionType.REPORT_FEASIBILITY
def test_report_rejects_suggestion_fields(self) -> None:
payload = _lm_report()
payload["suggested_technique"] = "alternative_method"
with pytest.raises(ValidationError, match="suggestion fields are only allowed"):
LabManagerAction.model_validate(payload)
def test_suggest_alternative_rejects_feasible(self) -> None:
payload = _lm_reject()
payload["action_type"] = "suggest_alternative"
payload["feasible"] = True
payload["equipment_ok"] = True
payload["suggested_technique"] = "alt"
with pytest.raises(ValidationError, match="suggest_alternative requires feasible=false"):
LabManagerAction.model_validate(payload)
def test_empty_explanation_rejects(self) -> None:
payload = _lm_accept()
payload["explanation"] = ""
with pytest.raises(ValidationError, match="explanation is required"):
LabManagerAction.model_validate(payload)
def test_extra_fields_rejected(self) -> None:
payload = _lm_accept()
payload["extra"] = "nope"
with pytest.raises(ValidationError, match="Extra inputs are not permitted"):
LabManagerAction.model_validate(payload)
def test_feasible_flag_mismatch_single_false(self) -> None:
payload = _lm_accept()
payload["schedule_ok"] = False
with pytest.raises(ValidationError, match="feasible must equal the logical AND"):
LabManagerAction.model_validate(payload)
def test_enum_value_access(self) -> None:
assert LabManagerActionType.REPORT_FEASIBILITY.value == "report_feasibility"
assert LabManagerActionType.SUGGEST_ALTERNATIVE.value == "suggest_alternative"
assert LabManagerActionType.REJECT.value == "reject"
assert LabManagerActionType.ACCEPT.value == "accept"
# ===================================================================
# Protocol — edge cases
# ===================================================================
class TestProtocolEdgeCases:
def test_valid_minimal(self) -> None:
p = Protocol(
sample_size=1,
controls=[],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
assert p.sample_size == 1
def test_zero_sample_size_allowed(self) -> None:
p = Protocol(
sample_size=0,
controls=[],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
assert p.sample_size == 0
def test_empty_technique_rejects(self) -> None:
with pytest.raises(ValidationError, match="non-empty"):
Protocol(
sample_size=1,
controls=[],
technique="",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
def test_empty_rationale_rejects(self) -> None:
with pytest.raises(ValidationError, match="non-empty"):
Protocol(
sample_size=1,
controls=[],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="",
)
def test_negative_sample_size_rejects(self) -> None:
with pytest.raises(ValidationError):
Protocol(
sample_size=-1,
controls=[],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
def test_negative_duration_rejects(self) -> None:
with pytest.raises(ValidationError):
Protocol(
sample_size=1,
controls=[],
technique="method",
duration_days=-1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
def test_whitespace_stripping(self) -> None:
p = Protocol(
sample_size=1,
controls=[" ctrl "],
technique=" method ",
duration_days=1,
required_equipment=[" equip "],
required_reagents=[" reagent "],
rationale=" reason ",
)
assert p.controls == ["ctrl"]
assert p.technique == "method"
assert p.required_equipment == ["equip"]
assert p.required_reagents == ["reagent"]
assert p.rationale == "reason"
def test_empty_string_in_controls_rejects(self) -> None:
with pytest.raises(ValidationError, match="non-empty"):
Protocol(
sample_size=1,
controls=["good", ""],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
)
def test_extra_fields_rejected(self) -> None:
with pytest.raises(ValidationError, match="Extra inputs are not permitted"):
Protocol(
sample_size=1,
controls=[],
technique="method",
duration_days=1,
required_equipment=[],
required_reagents=[],
rationale="Reason.",
extra_field="bad",
)
def test_json_round_trip(self) -> None:
p = Protocol(
sample_size=10,
controls=["baseline", "positive"],
technique="grid_search",
duration_days=5,
required_equipment=["compute"],
required_reagents=["data"],
rationale="Full plan.",
)
restored = Protocol.model_validate_json(p.model_dump_json())
assert restored == p
# ===================================================================
# ConversationEntry — edge cases
# ===================================================================
class TestConversationEntryEdgeCases:
def test_null_action_type_valid(self) -> None:
entry = ConversationEntry(
role="scientist",
message="Hello",
round_number=0,
action_type=None,
)
assert entry.action_type is None
def test_empty_string_action_type_rejects(self) -> None:
with pytest.raises(ValidationError, match="action_type must be null or a non-empty"):
ConversationEntry(
role="scientist",
message="Hello",
round_number=0,
action_type="",
)
def test_empty_message_rejects(self) -> None:
with pytest.raises(ValidationError, match="message is required"):
ConversationEntry(
role="scientist",
message="",
round_number=0,
action_type=None,
)
def test_system_role_valid(self) -> None:
entry = ConversationEntry(
role="system",
message="Round started.",
round_number=0,
action_type=None,
)
assert entry.role == "system"
def test_invalid_role_rejects(self) -> None:
with pytest.raises(ValidationError):
ConversationEntry(
role="judge",
message="Verdict.",
round_number=0,
action_type=None,
)
def test_negative_round_number_rejects(self) -> None:
with pytest.raises(ValidationError):
ConversationEntry(
role="scientist",
message="Hello",
round_number=-1,
action_type=None,
)
def test_extra_fields_rejected(self) -> None:
with pytest.raises(ValidationError, match="Extra inputs are not permitted"):
ConversationEntry(
role="scientist",
message="Hello",
round_number=0,
action_type=None,
extra="bad",
)
# ===================================================================
# RewardBreakdown — edge cases
# ===================================================================
class TestRewardBreakdownEdgeCases:
def test_default_values(self) -> None:
rb = RewardBreakdown()
assert rb.rigor == 0.0
assert rb.feasibility == 0.0
assert rb.fidelity == 0.0
assert rb.parsimony == 1.0
assert rb.efficiency_bonus == 0.0
assert rb.communication_bonus == 0.0
assert rb.penalties == {}
def test_boundary_values_valid(self) -> None:
rb = RewardBreakdown(rigor=0.0, feasibility=1.0, fidelity=0.5, parsimony=0.0)
assert rb.rigor == 0.0
assert rb.feasibility == 1.0
assert rb.parsimony == 0.0
def test_rigor_above_one_rejects(self) -> None:
with pytest.raises(ValidationError):
RewardBreakdown(rigor=1.1)
def test_rigor_below_zero_rejects(self) -> None:
with pytest.raises(ValidationError):
RewardBreakdown(rigor=-0.1)
def test_feasibility_above_one_rejects(self) -> None:
with pytest.raises(ValidationError):
RewardBreakdown(feasibility=1.5)
def test_fidelity_below_zero_rejects(self) -> None:
with pytest.raises(ValidationError):
RewardBreakdown(fidelity=-0.01)
def test_parsimony_above_one_rejects(self) -> None:
with pytest.raises(ValidationError):
RewardBreakdown(parsimony=2.0)
def test_penalties_dict_preserved(self) -> None:
rb = RewardBreakdown(penalties={"timeout": 0.2, "stalling": 0.05})
assert rb.penalties["timeout"] == 0.2
assert rb.penalties["stalling"] == 0.05
def test_json_round_trip(self) -> None:
rb = RewardBreakdown(
rigor=0.7,
feasibility=0.8,
fidelity=0.6,
parsimony=0.9,
efficiency_bonus=0.3,
penalties={"invalid_tool_use": 0.1},
)
restored = RewardBreakdown.model_validate_json(rb.model_dump_json())
assert restored == rb
# ===================================================================
# Observation — edge cases
# ===================================================================
class TestObservationEdgeCases:
def test_both_none_valid(self) -> None:
obs = Observation(scientist=None, lab_manager=None)
assert obs.scientist is None
assert obs.lab_manager is None
def test_scientist_only_valid(self) -> None:
obs = Observation(
scientist=ScientistObservation(
paper_title="T",
paper_hypothesis="H",
paper_method="M",
paper_key_finding="F",
experiment_goal="G",
conversation_history=[],
current_protocol=None,
round_number=0,
max_rounds=6,
),
lab_manager=None,
)
assert obs.scientist is not None
assert obs.lab_manager is None
def test_lab_manager_only_valid(self) -> None:
obs = Observation(
scientist=None,
lab_manager=LabManagerObservation(
budget_total=1000.0,
budget_remaining=800.0,
equipment_available=["compute"],
equipment_booked=[],
reagents_in_stock=["data"],
reagents_out_of_stock=[],
staff_count=2,
time_limit_days=7,
safety_restrictions=[],
conversation_history=[],
current_protocol=None,
round_number=0,
max_rounds=6,
),
)
assert obs.scientist is None
assert obs.lab_manager is not None
def test_extra_fields_rejected(self) -> None:
with pytest.raises(ValidationError, match="Extra inputs are not permitted"):
Observation(scientist=None, lab_manager=None, judge=None)
# ===================================================================
# LabManagerObservation — edge cases
# ===================================================================
class TestLabManagerObservationEdgeCases:
def test_negative_staff_count_rejects(self) -> None:
with pytest.raises(ValidationError):
LabManagerObservation(
budget_total=1000.0,
budget_remaining=800.0,
equipment_available=[],
equipment_booked=[],
reagents_in_stock=[],
reagents_out_of_stock=[],
staff_count=-1,
time_limit_days=7,
safety_restrictions=[],
conversation_history=[],
current_protocol=None,
round_number=0,
max_rounds=6,
)
def test_empty_string_in_equipment_rejects(self) -> None:
with pytest.raises(ValidationError, match="non-empty"):
LabManagerObservation(
budget_total=1000.0,
budget_remaining=800.0,
equipment_available=["compute", ""],
equipment_booked=[],
reagents_in_stock=[],
reagents_out_of_stock=[],
staff_count=2,
time_limit_days=7,
safety_restrictions=[],
conversation_history=[],
current_protocol=None,
round_number=0,
max_rounds=6,
)
def test_whitespace_stripping_in_inventory(self) -> None:
obs = LabManagerObservation(
budget_total=1000.0,
budget_remaining=800.0,
equipment_available=[" compute "],
equipment_booked=[" scope "],
reagents_in_stock=[" data "],
reagents_out_of_stock=[" unobtainium "],
staff_count=2,
time_limit_days=7,
safety_restrictions=[" no_fire "],
conversation_history=[],
current_protocol=None,
round_number=0,
max_rounds=6,
)
assert obs.equipment_available == ["compute"]
assert obs.equipment_booked == ["scope"]
assert obs.reagents_in_stock == ["data"]
assert obs.reagents_out_of_stock == ["unobtainium"]
assert obs.safety_restrictions == ["no_fire"]
# ===================================================================
# StepInfo — edge cases
# ===================================================================
class TestStepInfoEdgeCases:
def test_defaults(self) -> None:
info = StepInfo()
assert info.agreement_reached is False
assert info.error is None
assert info.reward_breakdown is None
assert info.judge_notes is None
assert info.verdict is None
assert info.top_failure_reasons == []
def test_extra_fields_allowed(self) -> None:
info = StepInfo(custom_key="value", debug_round=3)
assert info.custom_key == "value" # type: ignore[attr-defined]
assert info.debug_round == 3 # type: ignore[attr-defined]
def test_json_round_trip_with_extras(self) -> None:
info = StepInfo(
agreement_reached=True,
reward_breakdown=RewardBreakdown(rigor=0.9),
judge_notes="Good.",
verdict="accept",
extra_metric=42,
)
dumped = info.model_dump_json()
restored = StepInfo.model_validate_json(dumped)
assert restored.agreement_reached is True
assert restored.reward_breakdown.rigor == 0.9
assert restored.model_extra.get("extra_metric") == 42
# ===================================================================
# StepResult — edge cases
# ===================================================================
class TestStepResultEdgeCases:
def test_defaults(self) -> None:
result = StepResult()
assert result.observation is None
assert result.reward == 0.0
assert result.done is False
assert isinstance(result.info, StepInfo)
def test_with_observation(self) -> None:
result = StepResult(
observation=Observation(scientist=None, lab_manager=None),
reward=3.5,
done=True,
)
assert result.reward == 3.5
assert result.done is True
def test_json_round_trip(self) -> None:
info = StepInfo(agreement_reached=True, verdict="accept")
result = StepResult(reward=5.0, done=True, info=info)
restored = StepResult.model_validate_json(result.model_dump_json())
assert restored.reward == 5.0
assert restored.info.verdict == "accept"
# ===================================================================
# EpisodeState — edge cases
# ===================================================================
class TestEpisodeStateEdgeCases:
def test_defaults(self) -> None:
state = EpisodeState()
assert state.seed == 0
assert state.scenario_template == ""
assert state.done is False
assert state.current_protocol is None
assert state.conversation_history == []
assert state.top_failure_reasons == []
def test_top_failure_reasons_preserved(self) -> None:
state = EpisodeState(
top_failure_reasons=["Low feasibility.", "Timeout applied."],
)
assert len(state.top_failure_reasons) == 2
assert "Low feasibility." in state.top_failure_reasons
# ===================================================================
# EpisodeLog — edge cases
# ===================================================================
class TestEpisodeLogEdgeCases:
def test_defaults(self) -> None:
log = EpisodeLog()
assert log.episode_id == ""
assert log.seed == 0
assert log.final_state is None
assert log.transcript == []
assert log.reward_breakdown is None
assert log.top_failure_reasons == []
assert log.verdict == ""
def test_top_failure_reasons_in_json_round_trip(self) -> None:
log = EpisodeLog(
episode_id="ep-fr",
top_failure_reasons=["Feasibility too low.", "Timeout."],
verdict="timeout",
)
restored = EpisodeLog.model_validate_json(log.model_dump_json())
assert restored.top_failure_reasons == ["Feasibility too low.", "Timeout."]
assert restored.verdict == "timeout"
def test_model_dump_contains_all_keys(self) -> None:
log = EpisodeLog(episode_id="ep-keys")
dumped = log.model_dump()
expected_keys = {
"episode_id", "seed", "scenario_template", "difficulty",
"final_state", "transcript", "reward_breakdown", "total_reward",
"rounds_used", "agreement_reached", "judge_notes", "verdict",
"top_failure_reasons",
}
assert expected_keys.issubset(set(dumped.keys()))
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