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42797a8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 | """Tests for deterministic Agent 11 task execution and work products."""
from datetime import datetime, timezone
import pytest
from pydantic import ValidationError
from auction_coordination.execution import (
DeterministicTaskExecutor,
ExecutionError,
HandlerOutput,
)
from auction_coordination.models import (
FailureClass,
TaskAnnouncement,
TaskAward,
WorkProduct,
)
from auction_coordination.reauction import BoundedReauctionPolicy, RecoveryAction
from auction_coordination.scenario import build_default_registry
NOW = datetime(2026, 9, 11, 22, 20, tzinfo=timezone.utc)
SPECIALISTS = {
"market_research": "peer.atlas",
"financial_analysis": "peer.ledger",
"operating_risk": "peer.sentinel",
"evidence_verification": "peer.veritas",
"executive_synthesis": "peer.quill",
}
def announcement(
capability: str,
*,
task_id: str | None = None,
required_input_ids: tuple[str, ...] = (),
) -> TaskAnnouncement:
suffix = capability.replace("_", ".")
return TaskAnnouncement(
task_id=task_id or f"task.{suffix}",
auction_id=f"auction.{suffix}.1",
auction_round=1,
requested_capability=capability,
summary=f"Execute synthetic {capability} diligence work.",
minimum_capability_score=0.70,
maximum_cost=100.0,
required_input_ids=required_input_ids,
max_auction_rounds=2,
opened_at=NOW,
)
def award_for(task: TaskAnnouncement, agent_id: str) -> TaskAward:
return TaskAward(
award_id=f"award:{task.task_id}:{agent_id}",
auction_id=task.auction_id,
task_id=task.task_id,
auction_round=task.auction_round,
winning_bid_id=f"bid:{task.task_id}:{agent_id}",
awarded_agent_id=agent_id,
winning_score=0.80,
awarded_at=NOW,
)
def upstream_product(product_id: str, title: str) -> WorkProduct:
return WorkProduct(
work_product_id=product_id,
award_id=f"award.{product_id}",
auction_id=f"auction.{product_id}",
task_id=f"task.{product_id}",
auction_round=1,
agent_id="peer.mosaic",
capability="market_research",
title=title,
summary="Synthetic upstream work product for deterministic execution testing.",
findings=("Synthetic upstream finding.",),
evidence_ids=(f"evidence.{product_id}",),
completed_at=NOW,
)
@pytest.mark.parametrize("capability,agent_id", SPECIALISTS.items())
def test_default_executor_supports_all_five_due_diligence_capabilities(
capability: str,
agent_id: str,
) -> None:
registry = build_default_registry()
task = announcement(capability)
award = award_for(task, agent_id)
product = DeterministicTaskExecutor(registry).execute(
announcement=task,
award=award,
completed_at=NOW,
)
assert product.award_id == award.award_id
assert product.auction_id == task.auction_id
assert product.task_id == task.task_id
assert product.auction_round == task.auction_round
assert product.agent_id == agent_id
assert product.capability == capability
assert product.findings
assert product.evidence_ids
def test_work_product_id_is_deterministic_for_same_award_and_task() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = award_for(task, "peer.atlas")
executor = DeterministicTaskExecutor(registry)
first = executor.execute(announcement=task, award=award, completed_at=NOW)
second = executor.execute(announcement=task, award=award, completed_at=NOW)
assert first.work_product_id == second.work_product_id
assert first.work_product_id.startswith("work:")
def test_executor_rejects_award_lineage_mismatch() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = TaskAward(
award_id="award:wrong-task",
auction_id=task.auction_id,
task_id="task.wrong",
auction_round=task.auction_round,
winning_bid_id="bid:wrong-task",
awarded_agent_id="peer.atlas",
winning_score=0.80,
awarded_at=NOW,
)
with pytest.raises(ExecutionError) as exc_info:
DeterministicTaskExecutor(registry).execute(
announcement=task,
award=award,
completed_at=NOW,
)
assert exc_info.value.failure_class is FailureClass.POLICY_REJECTION
assert "task_id" in str(exc_info.value)
def test_missing_required_input_is_dependency_failure() -> None:
registry = build_default_registry()
task = announcement(
"executive_synthesis",
required_input_ids=("work.market", "work.finance"),
)
award = award_for(task, "peer.quill")
with pytest.raises(ExecutionError) as exc_info:
DeterministicTaskExecutor(registry).execute(
announcement=task,
award=award,
completed_at=NOW,
available_inputs=(upstream_product("work.market", "Market Review"),),
)
assert exc_info.value.failure_class is FailureClass.DEPENDENCY_FAILURE
assert "work.finance" in str(exc_info.value)
def test_executive_synthesis_consumes_required_inputs_in_declared_order() -> None:
registry = build_default_registry()
task = announcement(
"executive_synthesis",
required_input_ids=("work.market", "work.finance"),
)
award = award_for(task, "peer.quill")
market = upstream_product("work.market", "Market Review")
finance = upstream_product("work.finance", "Financial Review")
product = DeterministicTaskExecutor(registry).execute(
announcement=task,
award=award,
completed_at=NOW,
available_inputs=(finance, market),
)
assert "Integrated 2 validated upstream work products." in product.summary
assert "Market Review, Financial Review" in product.summary
def test_explicit_empty_handler_registry_fails_closed() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = award_for(task, "peer.atlas")
with pytest.raises(ExecutionError) as exc_info:
DeterministicTaskExecutor(registry, handlers={}).execute(
announcement=task,
award=award,
completed_at=NOW,
)
assert exc_info.value.failure_class is FailureClass.POLICY_REJECTION
assert "no approved handler" in str(exc_info.value)
def test_handler_exception_is_contained_as_execution_error() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = award_for(task, "peer.atlas")
def exploding_handler(_context):
raise RuntimeError("synthetic handler failure")
executor = DeterministicTaskExecutor(
registry,
handlers={"market_research": exploding_handler},
)
with pytest.raises(ExecutionError) as exc_info:
executor.execute(announcement=task, award=award, completed_at=NOW)
assert exc_info.value.failure_class is FailureClass.EXECUTION_ERROR
assert "RuntimeError" in str(exc_info.value)
def test_invalid_handler_content_is_rejected_before_publication() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = award_for(task, "peer.atlas")
def malformed_handler(_context):
return HandlerOutput(
title="Malformed synthetic result",
summary="This handler deliberately emits duplicate findings for validation testing.",
findings=("duplicate finding", "duplicate finding"),
evidence_ids=("evidence.bad.1",),
)
executor = DeterministicTaskExecutor(
registry,
handlers={"market_research": malformed_handler},
)
with pytest.raises(ExecutionError) as exc_info:
executor.execute(announcement=task, award=award, completed_at=NOW)
assert exc_info.value.failure_class is FailureClass.INVALID_OUTPUT
assert "WorkProduct validation" in str(exc_info.value)
def test_execution_failure_can_feed_bounded_reauction_policy() -> None:
registry = build_default_registry()
task = announcement("market_research")
award = award_for(task, "peer.atlas")
def malformed_handler(_context):
return HandlerOutput(
title="Malformed synthetic result",
summary="Invalid output is converted into a typed task failure.",
findings=(),
evidence_ids=("evidence.bad.1",),
)
executor = DeterministicTaskExecutor(
registry,
handlers={"market_research": malformed_handler},
)
with pytest.raises(ExecutionError) as exc_info:
executor.execute(announcement=task, award=award, completed_at=NOW)
recovery = BoundedReauctionPolicy()
failure = recovery.record_failure(
award=award,
failure_class=exc_info.value.failure_class,
detail=str(exc_info.value),
failed_at=NOW,
)
plan = recovery.plan(
announcement=task,
award=award,
failure=failure,
reopened_at=NOW,
)
assert failure.failure_class is FailureClass.INVALID_OUTPUT
assert plan.action is RecoveryAction.REAUCTION
assert plan.excluded_bidder_ids == ("peer.atlas",)
assert plan.next_announcement is not None
assert plan.next_announcement.auction_round == 2
def test_work_product_contract_rejects_duplicate_evidence_and_naive_time() -> None:
base = dict(
work_product_id="work.contract.test",
award_id="award.contract.test",
auction_id="auction.contract.test",
task_id="task.contract.test",
auction_round=1,
agent_id="peer.atlas",
capability="market_research",
title="Synthetic Contract Test",
summary="Synthetic work product used to exercise strict output validation.",
findings=("Unique finding.",),
evidence_ids=("evidence.contract.1", "evidence.contract.1"),
completed_at=NOW,
)
with pytest.raises(ValidationError, match="evidence_ids"):
WorkProduct(**base)
base["evidence_ids"] = ("evidence.contract.1",)
base["completed_at"] = datetime(2026, 9, 11, 22, 20)
with pytest.raises(ValidationError, match="timezone"):
WorkProduct(**base)
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