GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Plan the startup order of a self-hosted container stack (conditions, profiles, optional and disabled services, error precedence, cycles)

{"type": "thread.started", "thread_id": "01a16453-ff7a-7d53-aa8b-b9462a0f932d"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll inspect the draft and fixture, then implement the validation order, cycle detection, and scheduling without recursion."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'plan.py' -g 'compose.json' -g '*test*'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'plan.py' -g 'compose.json' -g '*test*'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/195_i04/work\ncompose.json\nplan.py\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat plan.py compose.json'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat plan.py compose.json'", "aggregated_output": "\"\"\"Startup planner for our self-hosted stack (compose.json). Spec: TASK.md. Draft: ignores most rules.\"\"\"\nimport json, sys\nclass PlanError(Exception):\n    def __init__(self, code, detail): super().__init__(f\"{code}: {detail}\"); self.code = code; self.detail = detail\ndef plan(compose, targets=None, profiles=()):\n    S = compose[\"services\"]; start = {}\n    def f(n):\n        if n not in start:\n            d = S[n].get(\"depends_on\") or []\n            start[n] = max([f(x) + 1 for x in d], default=0)\n        return start[n]\n    for n in (targets or S): f(n)\n    waves = [[] for _ in range(max(start.values()) + 1)]\n    for n in sorted(start): waves[start[n]].append(n)\n    return waves\n{\"services\": {\n  \"db\": {\"image\": \"postgres:16\", \"healthcheck\": {\"test\": [\"CMD\", \"pg_isready\"]}},\n  \"redis\": {\"image\": \"redis:7\", \"restart\": \"always\"},\n  \"migrate\": {\"image\": \"app\", \"restart\": \"no\", \"depends_on\": {\"db\": {\"condition\": \"service_healthy\"}}},\n  \"app\": {\"image\": \"app\", \"depends_on\": {\"migrate\": {\"condition\": \"service_completed_successfully\"}, \"redis\": {}, \"metrics\": {\"required\": false}}},\n  \"proxy\": {\"image\": \"caddy:2\", \"depends_on\": [\"app\"]},\n  \"backup\": {\"image\": \"restic\", \"profiles\": [\"ops\"], \"depends_on\": [\"db\"]},\n  \"legacy\": {\"image\": \"old\", \"deploy\": {\"replicas\": 0}}\n}}\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"cat > plan.py <<'PY'\n\\\"\\\"\\\"Compute startup waves for a compose stack without starting services.\\\"\\\"\\\"\nfrom collections import deque\n\n\nclass PlanError(Exception):\n    def __init__(self, code, detail):\n        super().__init__(f\\\"{code}: {detail}\\\")\n        self.code = code\n        self.detail = detail\n\n\ndef plan(compose, targets=None, profiles=()):\n    services = compose[\\\"services\\\"]\n    disabled = {\n        name for name, service in services.items()\n        if (service.get(\\\"deploy\\\") or {}).get(\\\"replicas\\\") == 0\n    }\n    if targets is None:\n        profiles = set(profiles)\n        seeds = [\n            name for name, service in services.items()\n            if name not in disabled and (\n                not service.get(\\\"profiles\\\")\n                or profiles.intersection(service[\\\"profiles\\\"])\n            )\n        ]\n    else:\n        # Unknown targets take precedence over every disabled target.\n        seeds = list(targets)\n        for name in seeds:\n            if name not in services:\n                raise PlanError(\\\"unknown_target\\\", name)\n        for name in seeds:\n            if name in disabled:\n                raise PlanError(\\\"disabled\\\", name)\n\n    # Normalize dependencies while taking the transitive closure. Profiles only\n    # select roots; dependencies are included regardless of their profiles.\n    active = set(seeds)\n    pending = list(active)\n    dependencies = {}\n    while pending:\n        name = pending.pop()\n        raw = services[name].get(\\\"depends_on\\\") or {}\n        if isinstance(raw, list):\n            raw = dict.fromkeys(raw)\n        dependencies[name] = {\n            dep: (\n                (options or {}).get(\\\"condition\\\", \\\"service_started\\\"),\n                (options or {}).get(\\\"required\\\", True),\n            )\n            for dep, options in raw.items()\n        }\n        for dep in dependencies[name]:\n            if dep in services and dep not in disabled and dep not in active:\n                active.add(dep)\n                pending.append(dep)\n\n    names = sorted(active)\n    graph = {}\n    for name in names:\n        graph[name] = {}\n        for dep in sorted(dependencies[name]):\n            condition, required = dependencies[name][dep]\n            if dep not in services or dep in disabled:\n                if required:\n                    code = (\\\"missing_dependency\\\" if dep not in services\n                            else \\\"disabled_dependency\\\")\n                    raise PlanError(code, (name, dep))\n                continue\n            graph[name][dep] = condition\n\n    conditions = {\n        \\\"service_started\\\", \\\"service_healthy\\\", \\\"service_completed_successfully\\\"\n    }\n    for name in names:\n        for dep, condition in graph[name].items():\n            if condition not in conditions:\n                raise PlanError(\\\"bad_condition\\\", (name, dep))\n    for name in names:\n        for dep, condition in graph[name].items():\n            service = services[dep]\n            if condition == \\\"service_healthy\\\":\n                healthcheck = service.get(\\\"healthcheck\\\")\n                if healthcheck is None or healthcheck.get(\\\"disable\\\", False):\n                    raise PlanError(\\\"no_healthcheck\\\", (name, dep))\n            elif condition == \\\"service_completed_successfully\\\":\n                if service.get(\\\"restart\\\") in (\\\"always\\\", \\\"unless-stopped\\\"):\n                    raise PlanError(\\\"never_completes\\\", (name, dep))\n\n    dependents = {name: [] for name in names}\n    remaining = {}\n    steps = dict.fromkeys(names, 0)\n    for name in names:\n        remaining[name] = len(graph[name])\n        for dep, condition in graph[name].items():\n            delay = 1 if condition == \\\"service_started\\\" else 2\n            dependents[dep].append((name, delay))\n    ready = deque(name for name in names if remaining[name] == 0)\n    visited = 0\n    while ready:\n        dep = ready.popleft()\n        visited += 1\n        for name, delay in dependents[dep]:\n            steps[name] = max(steps[name], steps[dep] + delay)\n            remaining[name] -= 1\n            if remaining[name] == 0:\n                ready.append(name)\n\n    if visited \"'!= len(names):\n        # Iterative Kosaraju finds actual cycle members, excluding services\n        # which only depend on a cycle. Explicit DFS frames avoid depth limits.\n        seen = set()\n        finished = []\n        for root in names:\n            if root in seen:\n                continue\n            seen.add(root)\n            stack = [(root, iter(graph[root]))]\n            while stack:\n                name, children = stack[-1]\n                dep = next(children, None)\n                if dep is None:\n                    finished.append(name)\n                    stack.pop()\n                elif dep not in seen:\n                    seen.add(dep)\n                    stack.append((dep, iter(graph[dep])))\n        seen.clear()\n        cyclic = []\n        for root in reversed(finished):\n            if root in seen:\n                continue\n            seen.add(root)\n            component = []\n            pending = [root]\n            while pending:\n                name = pending.pop()\n                component.append(name)\n                for parent, _ in dependents[name]:\n                    if parent not in seen:\n                        seen.add(parent)\n                        pending.append(parent)\n            if len(component) > 1 or root in graph[root]:\n                cyclic.extend(component)\n        raise PlanError(\"cycle\", sorted(cyclic))\n\n    waves = [[] for _ in range(max(steps.values(), default=-1) + 1)]\n    for name in names:\n        waves[steps[name]].append(name)\n    return waves\nPY'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"cat > plan.py <<'PY'\n\\\"\\\"\\\"Compute startup waves for a compose stack without starting services.\\\"\\\"\\\"\nfrom collections import deque\n\n\nclass PlanError(Exception):\n    def __init__(self, code, detail):\n        super().__init__(f\\\"{code}: {detail}\\\")\n        self.code = code\n        self.detail = detail\n\n\ndef plan(compose, targets=None, profiles=()):\n    services = compose[\\\"services\\\"]\n    disabled = {\n        name for name, service in services.items()\n        if (service.get(\\\"deploy\\\") or {}).get(\\\"replicas\\\") == 0\n    }\n    if targets is None:\n        profiles = set(profiles)\n        seeds = [\n            name for name, service in services.items()\n            if name not in disabled and (\n                not service.get(\\\"profiles\\\")\n                or profiles.intersection(service[\\\"profiles\\\"])\n            )\n        ]\n    else:\n        # Unknown targets take precedence over every disabled target.\n        seeds = list(targets)\n        for name in seeds:\n            if name not in services:\n                raise PlanError(\\\"unknown_target\\\", name)\n        for name in seeds:\n            if name in disabled:\n                raise PlanError(\\\"disabled\\\", name)\n\n    # Normalize dependencies while taking the transitive closure. Profiles only\n    # select roots; dependencies are included regardless of their profiles.\n    active = set(seeds)\n    pending = list(active)\n    dependencies = {}\n    while pending:\n        name = pending.pop()\n        raw = services[name].get(\\\"depends_on\\\") or {}\n        if isinstance(raw, list):\n            raw = dict.fromkeys(raw)\n        dependencies[name] = {\n            dep: (\n                (options or {}).get(\\\"condition\\\", \\\"service_started\\\"),\n                (options or {}).get(\\\"required\\\", True),\n            )\n            for dep, options in raw.items()\n        }\n        for dep in dependencies[name]:\n            if dep in services and dep not in disabled and dep not in active:\n                active.add(dep)\n                pending.append(dep)\n\n    names = sorted(active)\n    graph = {}\n    for name in names:\n        graph[name] = {}\n        for dep in sorted(dependencies[name]):\n            condition, required = dependencies[name][dep]\n            if dep not in services or dep in disabled:\n                if required:\n                    code = (\\\"missing_dependency\\\" if dep not in services\n                            else \\\"disabled_dependency\\\")\n                    raise PlanError(code, (name, dep))\n                continue\n            graph[name][dep] = condition\n\n    conditions = {\n        \\\"service_started\\\", \\\"service_healthy\\\", \\\"service_completed_successfully\\\"\n    }\n    for name in names:\n        for dep, condition in graph[name].items():\n            if condition not in conditions:\n                raise PlanError(\\\"bad_condition\\\", (name, dep))\n    for name in names:\n        for dep, condition in graph[name].items():\n            service = services[dep]\n            if condition == \\\"service_healthy\\\":\n                healthcheck = service.get(\\\"healthcheck\\\")\n                if healthcheck is None or healthcheck.get(\\\"disable\\\", False):\n                    raise PlanError(\\\"no_healthcheck\\\", (name, dep))\n            elif condition == \\\"service_completed_successfully\\\":\n                if service.get(\\\"restart\\\") in (\\\"always\\\", \\\"unless-stopped\\\"):\n                    raise PlanError(\\\"never_completes\\\", (name, dep))\n\n    dependents = {name: [] for name in names}\n    remaining = {}\n    steps = dict.fromkeys(names, 0)\n    for name in names:\n        remaining[name] = len(graph[name])\n        for dep, condition in graph[name].items():\n            delay = 1 if condition == \\\"service_started\\\" else 2\n            dependents[dep].append((name, delay))\n    ready = deque(name for name in names if remaining[name] == 0)\n    visited = 0\n    while ready:\n        dep = ready.popleft()\n        visited += 1\n        for name, delay in dependents[dep]:\n            steps[name] = max(steps[name], steps[dep] + delay)\n            remaining[name] -= 1\n            if remaining[name] == 0:\n                ready.append(name)\n\n    if visited \"'!= len(names):\n        # Iterative Kosaraju finds actual cycle members, excluding services\n        # which only depend on a cycle. Explicit DFS frames avoid depth limits.\n        seen = set()\n        finished = []\n        for root in names:\n            if root in seen:\n                continue\n            seen.add(root)\n            stack = [(root, iter(graph[root]))]\n            while stack:\n                name, children = stack[-1]\n                dep = next(children, None)\n                if dep is None:\n                    finished.append(name)\n                    stack.pop()\n                elif dep not in seen:\n                    seen.add(dep)\n                    stack.append((dep, iter(graph[dep])))\n        seen.clear()\n        cyclic = []\n        for root in reversed(finished):\n            if root in seen:\n                continue\n            seen.add(root)\n            component = []\n            pending = [root]\n            while pending:\n                name = pending.pop()\n                component.append(name)\n                for parent, _ in dependents[name]:\n                    if parent not in seen:\n                        seen.add(parent)\n                        pending.append(parent)\n            if len(component) > 1 or root in graph[root]:\n                cyclic.extend(component)\n        raise PlanError(\"cycle\", sorted(cyclic))\n\n    waves = [[] for _ in range(max(steps.values(), default=-1) + 1)]\n    for name in names:\n        waves[steps[name]].append(name)\n    return waves\nPY'", "aggregated_output": "", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "agent_message", "text": "The implementation is in place. I\u2019m checking error precedence, profiles and optional dependencies, cycle membership, and a 3,000-service stack with a dependency depth of 2,000."}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport json, random, time\nfrom plan import plan, PlanError\n\ndef check_error(services, code, detail, **kwargs):\n    try:\n        plan({'services': services}, **kwargs)\n    except PlanError as e:\n        assert (e.code, e.detail) == (code, detail), (e.code, e.detail)\n    else:\n        raise AssertionError('expected ' + code)\n\nassert plan(json.load(open('compose.json'))) == [['db', 'redis'], [], ['migrate'], [], ['app'], ['proxy']]\nassert plan({'services': {}}) == []\nassert plan({'services': {'a': {}}}, targets=[]) == []\nassert plan({'services': {'a': {'depends_on': ['b']}, 'b': {'profiles': ['ops']}, 'c': {'profiles': ['ops']}}}) == [['b'], ['a']]\nassert plan({'services': {'a': {'depends_on': {'missing': {'required': False, 'condition': 'bad'}}}}}) == [['a']]\ncheck_error({'a': {'deploy': {'replicas': 0}}}, 'unknown_target', 'z', targets=['a', 'z'])\ncheck_error({'a': {'deploy': {'replicas': 0}}}, 'disabled', 'a', targets=['a'])\ncheck_error({'a': {'depends_on': {'b': {'condition': 'bad'}}}, 'b': {}, 'z': {'depends_on': ['missing']}}, 'missing_dependency', ('z', 'missing'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_healthy'}}}, 'b': {}, 'z': {'depends_on': {'b': {'condition': 'bad'}}}}, 'bad_condition', ('z', 'b'))\ncheck_error({'a': {'depends_on': ['b']}, 'b': {'deploy': {'replicas': 0}}}, 'disabled_dependency', ('a', 'b'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_healthy'}}}, 'b': {'healthcheck': {'disable': True}}}, 'no_healthcheck', ('a', 'b'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_completed_successfully'}}}, 'b': {'restart': 'always'}}, 'never_completes', ('a', 'b'))\ncheck_error({'a': {'depends_on': ['b']}, 'b': {'depends_on': ['c']}, 'c': {'depends_on': ['b']}, 'd': {'depends_on': ['d']}}, 'cycle', ['b', 'c', 'd'])\n\nrng = random.Random(42)\nfor _ in range(200):\n    names = [str(i) for i in range(rng.randrange(1, 10))]\n    graph = {n: {d: rng.choice(['service_started', 'service_healthy', 'service_completed_successfully']) for d in names if rng.random() < .15} for n in names}\n    services = {n: {'healthcheck': {}, 'depends_on': {d: {'condition': c} for d, c in deps.items()}} for n, deps in graph.items()}\n    def reachable(start):\n        seen, todo = set(), list(graph[start])\n        while todo:\n            n = todo.pop()\n            if n not in seen:\n                seen.add(n)\n                todo.extend(graph[n])\n        return seen\n    cycles = sorted(n for n in names if n in reachable(n))\n    if cycles:\n        check_error(services, 'cycle', cycles)\n    else:\n        def step(n):\n            return max((step(d) + (1 if c == 'service_started' else 2) for d, c in graph[n].items()), default=0)\n        steps = {n: step(n) for n in names}\n        expected = [[n for n in sorted(names) if steps[n] == k] for k in range(max(steps.values()) + 1)]\n        assert plan({'services': services}) == expected\n\nservices = {str(i): {'depends_on': [str(i-1)] if i else []} for i in range(2001)}\nservices.update({str(i): {'depends_on': ['2000', str(i % 2000)]} for i in range(2001, 3000)})\nstart = time.perf_counter()\nresult = plan({'services': services})\nelapsed = time.perf_counter() - start\nassert len(result) == 2002 and sum(map(len, result)) == 3000\nassert elapsed < 5\nprint(f'Fixture, targeted validation, 200 random graphs, and scale passed ({elapsed:.3f}s for 3,000 services).')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport json, random, time\nfrom plan import plan, PlanError\n\ndef check_error(services, code, detail, **kwargs):\n    try:\n        plan({'services': services}, **kwargs)\n    except PlanError as e:\n        assert (e.code, e.detail) == (code, detail), (e.code, e.detail)\n    else:\n        raise AssertionError('expected ' + code)\n\nassert plan(json.load(open('compose.json'))) == [['db', 'redis'], [], ['migrate'], [], ['app'], ['proxy']]\nassert plan({'services': {}}) == []\nassert plan({'services': {'a': {}}}, targets=[]) == []\nassert plan({'services': {'a': {'depends_on': ['b']}, 'b': {'profiles': ['ops']}, 'c': {'profiles': ['ops']}}}) == [['b'], ['a']]\nassert plan({'services': {'a': {'depends_on': {'missing': {'required': False, 'condition': 'bad'}}}}}) == [['a']]\ncheck_error({'a': {'deploy': {'replicas': 0}}}, 'unknown_target', 'z', targets=['a', 'z'])\ncheck_error({'a': {'deploy': {'replicas': 0}}}, 'disabled', 'a', targets=['a'])\ncheck_error({'a': {'depends_on': {'b': {'condition': 'bad'}}}, 'b': {}, 'z': {'depends_on': ['missing']}}, 'missing_dependency', ('z', 'missing'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_healthy'}}}, 'b': {}, 'z': {'depends_on': {'b': {'condition': 'bad'}}}}, 'bad_condition', ('z', 'b'))\ncheck_error({'a': {'depends_on': ['b']}, 'b': {'deploy': {'replicas': 0}}}, 'disabled_dependency', ('a', 'b'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_healthy'}}}, 'b': {'healthcheck': {'disable': True}}}, 'no_healthcheck', ('a', 'b'))\ncheck_error({'a': {'depends_on': {'b': {'condition': 'service_completed_successfully'}}}, 'b': {'restart': 'always'}}, 'never_completes', ('a', 'b'))\ncheck_error({'a': {'depends_on': ['b']}, 'b': {'depends_on': ['c']}, 'c': {'depends_on': ['b']}, 'd': {'depends_on': ['d']}}, 'cycle', ['b', 'c', 'd'])\n\nrng = random.Random(42)\nfor _ in range(200):\n    names = [str(i) for i in range(rng.randrange(1, 10))]\n    graph = {n: {d: rng.choice(['service_started', 'service_healthy', 'service_completed_successfully']) for d in names if rng.random() < .15} for n in names}\n    services = {n: {'healthcheck': {}, 'depends_on': {d: {'condition': c} for d, c in deps.items()}} for n, deps in graph.items()}\n    def reachable(start):\n        seen, todo = set(), list(graph[start])\n        while todo:\n            n = todo.pop()\n            if n not in seen:\n                seen.add(n)\n                todo.extend(graph[n])\n        return seen\n    cycles = sorted(n for n in names if n in reachable(n))\n    if cycles:\n        check_error(services, 'cycle', cycles)\n    else:\n        def step(n):\n            return max((step(d) + (1 if c == 'service_started' else 2) for d, c in graph[n].items()), default=0)\n        steps = {n: step(n) for n in names}\n        expected = [[n for n in sorted(names) if steps[n] == k] for k in range(max(steps.values()) + 1)]\n        assert plan({'services': services}) == expected\n\nservices = {str(i): {'depends_on': [str(i-1)] if i else []} for i in range(2001)}\nservices.update({str(i): {'depends_on': ['2000', str(i % 2000)]} for i in range(2001, 3000)})\nstart = time.perf_counter()\nresult = plan({'services': services})\nelapsed = time.perf_counter() - start\nassert len(result) == 2002 and sum(map(len, result)) == 3000\nassert elapsed < 5\nprint(f'Fixture, targeted validation, 200 random graphs, and scale passed ({elapsed:.3f}s for 3,000 services).')\nPY\"", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json, random, time\nfrom plan import plan, PlanError\nassert plan(json.load(open('compose.json'))) == [['db','redis'],[],['migrate'],[],['app'],['proxy']]\ndef error(s, code, detail, **kw):\n    try: plan({'services':s}, **kw)\n    except PlanError as e: assert (e.code,e.detail)==(code,detail), (e.code,e.detail)\n    else: raise AssertionError(code)\nassert plan({'services':{}})==[]\nassert plan({'services':{'a':{}}},targets=[])==[]\nerror({'a':{'deploy':{'replicas':0}}},'unknown_target','z',targets=['a','z'])\nerror({'a':{'deploy':{'replicas':0}}},'disabled','a',targets=['a'])\nerror({'a':{'depends_on':{'b':{'condition':'bad'}}},'b':{},'z':{'depends_on':['missing']}},'missing_dependency',('z','missing'))\nerror({'a':{'depends_on':{'b':{'condition':'service_healthy'}}},'b':{},'z':{'depends_on':{'b':{'condition':'bad'}}}},'bad_condition',('z','b'))\nerror({'a':{'depends_on':['b']},'b':{'deploy':{'replicas':0}}},'disabled_dependency',('a','b'))\nerror({'a':{'depends_on':{'b':{'condition':'service_healthy'}}},'b':{}},'no_healthcheck',('a','b'))\nerror({'a':{'depends_on':{'b':{'condition':'service_completed_successfully'}}},'b':{'restart':'always'}},'never_completes',('a','b'))\nassert plan({'services':{'a':{'depends_on':{'x':{'required':False,'condition':'bad'}}}}})==[['a']]\nassert plan({'services':{'a':{'depends_on':['b']},'b':{'profiles':['ops']},'c':{'profiles':['ops']}}})==[['b'],['a']]\nrng=random.Random(42)\nfor _ in range(200):\n    names=list(map(str,range(rng.randrange(1,10))))\n    graph={n:{d:rng.choice([1,2]) for d in names if rng.random()<.15} for n in names}\n    services={n:{'healthcheck':{},'depends_on':{d:{'condition':'service_started' if c==1 else 'service_healthy'} for d,c in deps.items()}} for n,deps in graph.items()}\n    def reachable(n):\n        seen=set(); todo=list(graph[n])\n        while todo:\n            d=todo.pop()\n            if d not in seen: seen.add(d); todo.extend(graph[d])\n        return seen\n    cycles=sorted(n for n in names if n in reachable(n))\n    if cycles: error(services,'cycle',cycles)\n    else:\n        def step(n): return max((step(d)+c for d,c in graph[n].items()),default=0)\n        steps={n:step(n) for n in names}\n        expected=[[n for n in sorted(names) if steps[n]==k] for k in range(max(steps.values())+1)]\n        assert plan({'services':services})==expected\nservices={str(i):{'depends_on':[str(i-1)] if i else []} for i in range(2001)}\nservices.update({str(i):{'depends_on':['2000',str(i%2000)]} for i in range(2001,3000)})\nt=time.perf_counter(); result=plan({'services':services}); elapsed=time.perf_counter()-t\nassert len(result)==2002 and sum(map(len,result))==3000 and elapsed<5\nprint(f'Fixture, targeted checks, 200 random graphs passed; 3,000-service scale: {elapsed:.3f}s')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json, random, time\nfrom plan import plan, PlanError\nassert plan(json.load(open('compose.json'))) == [['db','redis'],[],['migrate'],[],['app'],['proxy']]\ndef error(s, code, detail, **kw):\n    try: plan({'services':s}, **kw)\n    except PlanError as e: assert (e.code,e.detail)==(code,detail), (e.code,e.detail)\n    else: raise AssertionError(code)\nassert plan({'services':{}})==[]\nassert plan({'services':{'a':{}}},targets=[])==[]\nerror({'a':{'deploy':{'replicas':0}}},'unknown_target','z',targets=['a','z'])\nerror({'a':{'deploy':{'replicas':0}}},'disabled','a',targets=['a'])\nerror({'a':{'depends_on':{'b':{'condition':'bad'}}},'b':{},'z':{'depends_on':['missing']}},'missing_dependency',('z','missing'))\nerror({'a':{'depends_on':{'b':{'condition':'service_healthy'}}},'b':{},'z':{'depends_on':{'b':{'condition':'bad'}}}},'bad_condition',('z','b'))\nerror({'a':{'depends_on':['b']},'b':{'deploy':{'replicas':0}}},'disabled_dependency',('a','b'))\nerror({'a':{'depends_on':{'b':{'condition':'service_healthy'}}},'b':{}},'no_healthcheck',('a','b'))\nerror({'a':{'depends_on':{'b':{'condition':'service_completed_successfully'}}},'b':{'restart':'always'}},'never_completes',('a','b'))\nassert plan({'services':{'a':{'depends_on':{'x':{'required':False,'condition':'bad'}}}}})==[['a']]\nassert plan({'services':{'a':{'depends_on':['b']},'b':{'profiles':['ops']},'c':{'profiles':['ops']}}})==[['b'],['a']]\nrng=random.Random(42)\nfor _ in range(200):\n    names=list(map(str,range(rng.randrange(1,10))))\n    graph={n:{d:rng.choice([1,2]) for d in names if rng.random()<.15} for n in names}\n    services={n:{'healthcheck':{},'depends_on':{d:{'condition':'service_started' if c==1 else 'service_healthy'} for d,c in deps.items()}} for n,deps in graph.items()}\n    def reachable(n):\n        seen=set(); todo=list(graph[n])\n        while todo:\n            d=todo.pop()\n            if d not in seen: seen.add(d); todo.extend(graph[d])\n        return seen\n    cycles=sorted(n for n in names if n in reachable(n))\n    if cycles: error(services,'cycle',cycles)\n    else:\n        def step(n): return max((step(d)+c for d,c in graph[n].items()),default=0)\n        steps={n:step(n) for n in names}\n        expected=[[n for n in sorted(names) if steps[n]==k] for k in range(max(steps.values())+1)]\n        assert plan({'services':services})==expected\nservices={str(i):{'depends_on':[str(i-1)] if i else []} for i in range(2001)}\nservices.update({str(i):{'depends_on':['2000',str(i%2000)]} for i in range(2001,3000)})\nt=time.perf_counter(); result=plan({'services':services}); elapsed=time.perf_counter()-t\nassert len(result)==2002 and sum(map(len,result))==3000 and elapsed<5\nprint(f'Fixture, targeted checks, 200 random graphs passed; 3,000-service scale: {elapsed:.3f}s')\nPY\"", "aggregated_output": "Fixture, targeted checks, 200 random graphs passed; 3,000-service scale: 0.010s\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "agent_message", "text": "Rewrote `plan.py` with ordered validation, profile and target handling, optional dependencies, precise cycle detection, and iterative scheduling.\n\nVerified the expected fixture answer, targeted error cases, and 200 randomized graphs. The 3,000-service stack with depth 2,000 completed in 0.010 seconds."}}
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