Christian Nennemann
3a139dfc7e
Strategic work for IETF submission of draft-nennemann-act-01 and
draft-nennemann-wimse-ect-02:
Package restructure:
- move ACT and ECT refimpls to workspace/packages/{act,ect}/
- ietf-act and ietf-ect distribution names (sibling packages)
- cross-spec interop test plan (INTEROP-TEST-PLAN.md)
ACT draft -01 revisions:
- rename 'par' claim to 'pred' (align with ECT)
- rename 'Agent Compact Token' to 'Agent Context Token' (semantic
alignment with ECT family)
- add Applicability section (MCP, OpenAI, LangGraph, A2A, CrewAI)
- add DAG vs Linear Delegation Chains section (differentiator vs
txn-tokens-for-agents actchain, Agentic JWT, AIP/IBCTs)
- add Related Work: AIP, SentinelAgent, Agentic JWT, txn-tokens-for-agents,
HDP, SCITT-AI-agent-execution
- pin SCITT arch to -22, note AUTH48 status
Outreach drafts:
- Emirdag liaison email (SCITT-AI coordination)
- OAuth ML response on txn-tokens-for-agents-06
Strategy document:
- STRATEGY.md with phased action plan, risk register, timeline
Submodule:
- update workspace/drafts/ietf-wimse-ect pointer to -02 commit
112 lines
2.6 KiB
Python
112 lines
2.6 KiB
Python
"""Tests for DAG validation."""
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import time
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import pytest
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from ect import Payload, MemoryLedger, validate_dag, default_dag_config
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def test_validate_dag_root():
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store = MemoryLedger()
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payload = Payload(
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iss="",
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aud=[],
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iat=0,
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exp=0,
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jti="jti-001",
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exec_act="",
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pred=[],
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wid="wf-1",
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)
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validate_dag(payload, store, default_dag_config())
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def test_validate_dag_duplicate_jti():
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store = MemoryLedger()
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p = Payload(
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iss="x",
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aud=["y"],
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iat=0,
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exp=0,
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jti="jti-001",
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exec_act="a",
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pred=[],
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wid="wf-1",
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)
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store.append("dummy-jws", p)
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payload = Payload(
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iss="",
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aud=[],
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iat=0,
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exp=0,
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jti="jti-001",
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exec_act="",
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pred=[],
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wid="wf-1",
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)
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with pytest.raises(ValueError, match="task ID.*already exists"):
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validate_dag(payload, store, default_dag_config())
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def test_validate_dag_pred_exists():
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store = MemoryLedger()
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now = int(time.time())
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p = Payload(
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iss="x",
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aud=["y"],
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iat=now - 60,
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exp=now + 600,
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jti="jti-001",
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exec_act="a",
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pred=[],
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wid="wf-1",
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)
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store.append("jws1", p)
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payload = Payload(
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iss="",
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aud=[],
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iat=now,
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exp=now + 600,
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jti="jti-002",
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exec_act="b",
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pred=["jti-001"],
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wid="wf-1",
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)
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validate_dag(payload, store, default_dag_config())
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def test_validate_dag_pred_not_found():
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store = MemoryLedger()
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now = int(time.time())
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payload = Payload(
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iss="",
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aud=[],
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iat=now,
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exp=now + 600,
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jti="jti-002",
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exec_act="",
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pred=["jti-missing"],
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)
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with pytest.raises(ValueError, match="predecessor task not found"):
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validate_dag(payload, store, default_dag_config())
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def test_validate_dag_pred_policy_rejected_requires_compensation():
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store = MemoryLedger()
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now = int(time.time())
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p = Payload(
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iss="x", aud=["y"], iat=now - 60, exp=now + 600,
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jti="jti-rej", exec_act="a", pred=[], wid="wf-1",
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ext={"pol": "p", "pol_decision": "rejected"},
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)
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store.append("jws1", p)
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payload = Payload(
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iss="", aud=[], iat=now, exp=now + 600,
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jti="jti-child", exec_act="b", pred=["jti-rej"], wid="wf-1",
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)
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with pytest.raises(ValueError, match="compensation"):
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validate_dag(payload, store, default_dag_config())
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payload.ext = {"compensation_required": True}
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validate_dag(payload, store, default_dag_config())
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