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Author SHA1 Message Date
Jon Chery 6e1a1bd7db docs(P01): complete adapter-dedup-diagnostic phase (v1.13.4)
---ci---
project: acdl
phase: 1
milestone: v1.14
status: complete
requirements:
  covered: [REQ-135]
  partial: []
---/ci---
2026-07-29 20:17:55 +00:00
Jon Chery 040abc0fb7 docs(ship): v1.13.3 complete — v1.14 pre-execution phase shipped (Gitea release id 255)
---ci---
project: acdl
phase: 0
milestone: v1.14
status: complete
---/ci---
2026-07-29 20:14:30 +00:00
2 changed files with 34 additions and 3 deletions
+2 -2
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@@ -1,8 +1,8 @@
{
"phase": 0,
"stage": "grill",
"stage": "complete",
"milestone": "v1.14",
"phase_role": "pre_execution",
"attempts": 0,
"updated_at": "2026-07-29T20:25:00Z"
"updated_at": "2026-07-29T20:30:00Z"
}
+32 -1
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@@ -330,4 +330,35 @@ class TestChildIdHelper:
# ecs-service expands to service-task-definition + service-service
assert _child_id(["service-task-definition", "service-service"]) == "service"
# alb expands to alb-loadbalancer + alb-targetgroup + alb-listener
assert _child_id(["alb-loadbalancer", "alb-targetgroup", "alb-listener"]) == "alb"
assert _child_id(["alb-loadbalancer", "alb-targetgroup", "alb-listener"]) == "alb"
class TestAdapterDedupRejectsUnregisteredModule:
"""P1-1 (v1.14, REQ-135): a resource whose module is not in the
registry must raise ValueError, not be silently dropped from the
dedup merge. A typo'd module field (e.g. 'iam-role' vs 'iam_roles')
must surface as a diagnostic, not vanish."""
def test_unregistered_module_raises_valueerror(self, tmp_path):
stack = {
"resources": [
{"id": "bad", "type": "aws:bogus:thing", "module": "nonexistent@1.0.0", "inputs": {}}
],
"outputs": {},
"data_sources": [],
}
with pytest.raises(ValueError, match="no terraform_dir for module 'nonexistent'"):
adapt(stack, str(tmp_path))
def test_registered_module_still_works(self, tmp_path):
"""A registered module (s3) must still emit valid terraform — the
ValueError guard must not break the happy path."""
stack = {
"resources": [
{"id": "s3", "type": "aws:s3:bucket", "module": "s3@1.0.0", "inputs": {"bucket_name": "test"}}
],
"outputs": {},
"data_sources": [],
}
adapt(stack, str(tmp_path))
assert (tmp_path / "main.tf").exists()