build(agent): semicolon#54de0b iteration

AGENTS.md

@@ -3,6 +3,7 @@
 Architecture overview
 - Core: crisisops/core.py defines the Graph-of-Contracts primitives: Object, Morphism, PlanDelta, DualVariables.
 - Planner: crisisops/planner.py implements a lightweight ADMM-like planner for MVP orchestration between domains.
+- Replay: crisisops/replay.py provides deterministic snapshots, canonical JSON, and restore/replay helpers.
 - Adapters: crisisops/adapters_registry.py provides a registry; toy adapters live in crisisops/adapters/.
 - Governance: crisisops/governance.py offers a simple SQLite-backed governance ledger for auditability.
 - CLI: crisisops/cli.py exposes a tiny CLI for quick experiments.
@@ -16,6 +17,7 @@ Tech stack
 Testing commands
 - Run tests: ./test.sh
 - Run planner demo: python -m crisisops.cli plan (or pytest tests/test_planner.py)
+- Inspect a snapshot: python -m crisisops.cli snapshot
 
 Contribution rules
 - Implement small, composable features with clear interfaces.

README.md

@@ -2,23 +2,26 @@
 
 Overview
 - CrisisOps provides a Graph-of-Contracts (GoC) primitive model to coordinate crisis-response operations across domains (e.g., field logistics, shelters) with offline-first delta-sync and auditability.
-- MVP demonstrates two domains with toy adapters and a minimal ADMM-like planner. It is designed to be production-ready in architecture, not just a proof-of-concept.
+- The current implementation adds deterministic snapshots, replay helpers, and audit-ready plan hashes so field decisions can be replayed after an event.
+- The planner now emits ordered dispatch actions with a lightweight utility score to make plan comparisons easier.
 
 What’s inside
 - Python package crisisops with core primitives, planner, adapters registry, and governance ledger.
 - Toy adapters: inventory_portal and gis_dispatch (under crisisops/adapters).
-- CLI scaffold for quick experiments.
-- Tests validating planner behavior.
+- CLI scaffold for quick experiments and snapshot inspection.
+- Tests validating planner behavior and deterministic replay.
 - Packaging metadata and test script for CI compliance.
 
 Getting started
 - Install: python3 -m build (from pyproject.toml)
 - Run tests: ./test.sh
 - Explore planner: python3 -m crisisops.cli plan
+- Inspect a snapshot: python3 -m crisisops.cli snapshot
 
 Architecture links
 - Core primitives: crisisops.core
 - Planner: crisisops.planner
+- Replay and snapshot utilities: crisisops.replay
 - Adapters registry and toy adapters: crisisops.adapters_registry, crisisops.adapters.*
 - Governance ledger: crisisops.governance
 

crisisops/__init__.py

@@ -4,6 +4,7 @@ from .core import Object, Morphism, PlanDelta, DualVariables
 from .planner import ADMMPlanner
 from .adapters_registry import AdaptersRegistry
 from .governance import GovernanceLedger
+from .replay import ReplayJournal, graph_snapshot, restore_graph, canonical_json
 
 __all__ = [
     "Object",
@@ -13,4 +14,8 @@ __all__ = [
     "ADMMPlanner",
     "AdaptersRegistry",
     "GovernanceLedger",
+    "ReplayJournal",
+    "graph_snapshot",
+    "restore_graph",
+    "canonical_json",
 ]

crisisops/cli.py

@@ -1,13 +1,13 @@
 """Minimal CLI to exercise CrisisOps MVP."""
 import argparse
 import json
-import time
 
 from crisisops.planner import ADMMPlanner
 from crisisops.core import GraphOfContracts, Object, Morphism
+from crisisops.replay import graph_snapshot
 
 
-def build_sample_goC():
+def build_sample_goc():
     # Simple two-object domains: field resources and shelters
     o1 = Object(id="fuel-truck-1", type="vehicle", attributes={"capacity": 1000})
     o2 = Object(id="shelter-a", type="facility", attributes={"capacity": 500})
@@ -21,13 +21,20 @@ def main():
     parser = argparse.ArgumentParser()
     sub = parser.add_subparsers(dest="cmd")
     sub.add_parser("plan", help="Run a toy planning pass on a sample GoC")
+    sub.add_parser("snapshot", help="Print a deterministic snapshot of the sample GoC")
     args = parser.parse_args()
 
     if args.cmd == "plan":
-        gof = build_sample_goC()
+        gof = build_sample_goc()
         planner = ADMMPlanner()
         plan = planner.optimize(gof)
-        print(json.dumps({"plan": plan.actions}, default=str, indent=2))
+        snapshot = graph_snapshot(gof, plan=plan)
+        print(json.dumps({"plan": plan.actions, "snapshot_hash": snapshot["snapshot_hash"]}, default=str, indent=2))
+        return 0
+    if args.cmd == "snapshot":
+        gof = build_sample_goc()
+        snapshot = graph_snapshot(gof)
+        print(json.dumps(snapshot, default=str, indent=2))
         return 0
     print("No command provided. Use 'plan'.")
     return 1

crisisops/governance.py

@@ -1,7 +1,9 @@
 """A simple governance ledger using SQLite for auditability."""
 import sqlite3
 import time
-from typing import List, Dict, Any
+from typing import List, Dict, Any, cast
+
+from .replay import canonical_json
 
 
 class GovernanceLedger:
@@ -25,15 +27,24 @@ class GovernanceLedger:
         )
         self.conn.commit()
 
-    def log(self, action: str, actor: str, status: str, details: str | None = None) -> int:
+    def log(self, action: str, actor: str, status: str, details: Any | None = None) -> int:
         ts = time.time()
+        normalized_details = details
+        if isinstance(details, (dict, list)):
+            normalized_details = canonical_json(details)
         cur = self.conn.cursor()
         cur.execute(
             "INSERT INTO governance_logs (action, actor, timestamp, status, details) VALUES (?, ?, ?, ?, ?)",
-            (action, actor, ts, status, details),
+            (action, actor, ts, status, normalized_details),
         )
         self.conn.commit()
-        return cur.lastrowid
+        return cast(int, cur.lastrowid)
+
+    def log_plan(self, actor: str, status: str, plan_hash: str, details: Dict[str, Any] | None = None) -> int:
+        payload = {"plan_hash": plan_hash}
+        if details:
+            payload.update(details)
+        return self.log(action="plan", actor=actor, status=status, details=payload)
 
     def list_logs(self) -> List[Dict[str, Any]]:
         cur = self.conn.cursor()

crisisops/planner.py

@@ -7,7 +7,7 @@ reliability of critical deliveries while minimizing idle trips in a toy setting.
 from __future__ import annotations
 
 import time
-from typing import Dict, List
+from typing import Any, Dict, List
 
 from .core import GraphOfContracts, PlanDelta
 
@@ -24,21 +24,23 @@ class ADMMPlanner:
         """Run a toy optimization pass over the GoC to produce a PlanDelta.
 
         We allocate available objects to matching morphisms (requests) by a
-        simplistic rule: if a source object and target object share a compatible
-        type and the requested quantity is available, we create an action.
+        deterministic rule: dispatch-style morphisms create actions when the
+        source and target exist, and the action payload includes a utility score
+        that favors balanced capacity and higher-priority signals.
         """
         actions: List[Dict[str, object]] = []
         now = time.time()
 
-        # Example heuristic: pair objects by type and create dispatch actions
-        # Primitive: for each morphism, try to assign a matching object as resource.
-        for mid, morph in gof.morphisms.items():
+        for mid in sorted(gof.morphisms):
+            morph = gof.morphisms[mid]
             src = gof.objects.get(morph.source_id)
             dst = gof.objects.get(morph.target_id)
             if not src or not dst:
                 continue
-            # Simple compatibility rule: if both share a category/role (type)
-            if src.type == dst.type:
+
+            if morph.type not in {"dispatch", "transfer"} and src.type != dst.type:
+                continue
+
             action = {
                 "morphism_id": mid,
                 "action": "dispatch",
@@ -48,11 +50,40 @@ class ADMMPlanner:
                 "details": {
                     "src_type": src.type,
                     "dst_type": dst.type,
+                    "priority": morph.signals.get("priority", "normal"),
+                    "utility_score": self._utility_score(src.attributes, dst.attributes, morph.signals),
                 },
             }
             actions.append(action)
 
+        actions.sort(key=lambda action: (action["morphism_id"], action["resource_id"], action["destination_id"]))
+
         # Record plan delta
         plan = PlanDelta(timestamp=now, actions=actions)
         gof.plan_delta = plan
         return plan
+
+    @staticmethod
+    def _numeric_attribute(attributes: Dict[str, Any], keys: List[str], default: float = 0.0) -> float:
+        for key in keys:
+            value = attributes.get(key)
+            if value is None:
+                continue
+            try:
+                return float(value)
+            except (TypeError, ValueError):
+                continue
+        return default
+
+    def _utility_score(
+        self,
+        src_attributes: Dict[str, object],
+        dst_attributes: Dict[str, object],
+        signals: Dict[str, object],
+    ) -> float:
+        source_capacity = self._numeric_attribute(src_attributes, ["capacity", "stock", "qty", "available"], default=1.0)
+        target_need = self._numeric_attribute(dst_attributes, ["demand", "capacity", "need", "qty"], default=1.0)
+        balance = min(source_capacity, target_need) / max(source_capacity, target_need, 1.0)
+        priority = str(signals.get("priority", "normal"))
+        priority_boost = {"low": 0.9, "normal": 1.0, "high": 1.1, "critical": 1.25}.get(priority, 1.0)
+        return round(min(1.0, balance * priority_boost), 3)

crisisops/replay.py

@@ -0,0 +1,129 @@
+"""Deterministic snapshots and replay helpers for CrisisOps."""
+from __future__ import annotations
+
+import hashlib
+import json
+from typing import Any, Dict, Iterable, List
+
+from .core import DualVariables, GraphOfContracts, Morphism, Object, PlanDelta
+
+
+SCHEMA_VERSION = "1.0"
+
+
+def canonical_json(payload: Any) -> str:
+    return json.dumps(payload, sort_keys=True, separators=(",", ":"), ensure_ascii=True)
+
+
+def _numeric(value: Any, default: float = 0.0) -> float:
+    try:
+        return float(value)
+    except (TypeError, ValueError):
+        return default
+
+
+def _action_sort_key(action: Dict[str, Any]) -> tuple:
+    return (
+        str(action.get("morphism_id", "")),
+        str(action.get("action", "")),
+        str(action.get("resource_id", "")),
+        str(action.get("destination_id", "")),
+    )
+
+
+def _object_to_dict(item: Object) -> Dict[str, Any]:
+    return {"id": item.id, "type": item.type, "attributes": dict(item.attributes)}
+
+
+def _morphism_to_dict(item: Morphism) -> Dict[str, Any]:
+    return {
+        "id": item.id,
+        "source_id": item.source_id,
+        "target_id": item.target_id,
+        "type": item.type,
+        "signals": dict(item.signals),
+    }
+
+
+def _dual_to_dict(item: DualVariables) -> Dict[str, Any]:
+    return {"name": item.name, "values": dict(item.values)}
+
+
+def _plan_to_dict(plan: PlanDelta | None) -> Dict[str, Any] | None:
+    if plan is None:
+        return None
+    actions = [dict(action) for action in plan.actions]
+    actions.sort(key=_action_sort_key)
+    return {"timestamp": plan.timestamp, "actions": actions}
+
+
+def graph_snapshot(graph: GraphOfContracts, plan: PlanDelta | None = None) -> Dict[str, Any]:
+    payload = {
+        "schema_version": SCHEMA_VERSION,
+        "objects": [_object_to_dict(graph.objects[key]) for key in sorted(graph.objects)],
+        "morphisms": [_morphism_to_dict(graph.morphisms[key]) for key in sorted(graph.morphisms)],
+        "duals": [_dual_to_dict(graph.duals[key]) for key in sorted(graph.duals)],
+        "plan_delta": _plan_to_dict(plan or graph.plan_delta),
+    }
+    payload["snapshot_hash"] = snapshot_hash(payload)
+    return payload
+
+
+def snapshot_hash(snapshot: Dict[str, Any]) -> str:
+    normalized = dict(snapshot)
+    normalized.pop("snapshot_hash", None)
+    return hashlib.sha256(canonical_json(normalized).encode("utf-8")).hexdigest()
+
+
+def restore_graph(snapshot: Dict[str, Any]) -> GraphOfContracts:
+    objects = {
+        item["id"]: Object(id=item["id"], type=item["type"], attributes=dict(item.get("attributes", {})))
+        for item in snapshot.get("objects", [])
+    }
+    morphisms = {
+        item["id"]: Morphism(
+            id=item["id"],
+            source_id=item["source_id"],
+            target_id=item["target_id"],
+            type=item["type"],
+            signals=dict(item.get("signals", {})),
+        )
+        for item in snapshot.get("morphisms", [])
+    }
+    duals = {
+        item["name"]: DualVariables(name=item["name"], values=dict(item.get("values", {})))
+        for item in snapshot.get("duals", [])
+    }
+
+    plan_data = snapshot.get("plan_delta")
+    plan_delta = None
+    if plan_data is not None:
+        plan_delta = PlanDelta(
+            timestamp=_numeric(plan_data.get("timestamp")),
+            actions=[dict(action) for action in plan_data.get("actions", [])],
+        )
+
+    graph = GraphOfContracts(objects=objects, morphisms=morphisms, plan_delta=plan_delta, duals=duals)
+    return graph
+
+
+def replay_graphs(snapshots: Iterable[Dict[str, Any]]) -> List[GraphOfContracts]:
+    return [restore_graph(snapshot) for snapshot in snapshots]
+
+
+class ReplayJournal:
+    """A minimal append-only journal of canonical graph snapshots."""
+
+    def __init__(self) -> None:
+        self._snapshots: List[Dict[str, Any]] = []
+
+    def record(self, graph: GraphOfContracts, plan: PlanDelta | None = None) -> Dict[str, Any]:
+        snapshot = graph_snapshot(graph, plan=plan)
+        self._snapshots.append(snapshot)
+        return snapshot
+
+    def list_snapshots(self) -> List[Dict[str, Any]]:
+        return [dict(snapshot) for snapshot in self._snapshots]
+
+    def replay(self) -> List[GraphOfContracts]:
+        return replay_graphs(self._snapshots)

tests/test_planner.py

@@ -1,6 +1,9 @@
 import json
+
 from crisisops.planner import ADMMPlanner
 from crisisops.core import GraphOfContracts, Object, Morphism
+from crisisops.governance import GovernanceLedger
+from crisisops.replay import graph_snapshot, restore_graph
 
 
 def build_simple_goC():
@@ -14,7 +17,41 @@ def test_planner_allocates_dispatch_actions():
     gof = build_simple_goC()
     planner = ADMMPlanner()
     plan = planner.optimize(gof)
-    # Expect at least one action and that it's a dispatch action
     assert isinstance(plan.actions, list)
-    if plan.actions:
     assert plan.actions[0]["action"] == "dispatch"
+    assert plan.actions[0]["details"]["utility_score"] > 0
+
+
+def test_graph_snapshot_is_deterministic_and_restorable():
+    gof_a = build_simple_goC()
+    gof_b = GraphOfContracts(
+        objects={"b1": gof_a.objects["b1"], "a1": gof_a.objects["a1"]},
+        morphisms={"m1": gof_a.morphisms["m1"]},
+    )
+
+    snapshot_a = graph_snapshot(gof_a)
+    snapshot_b = graph_snapshot(gof_b)
+
+    assert snapshot_a["snapshot_hash"] == snapshot_b["snapshot_hash"]
+
+    restored = restore_graph(snapshot_a)
+    assert restored.objects["a1"].attributes["qty"] == 10
+    assert restored.morphisms["m1"].target_id == "b1"
+
+
+def test_snapshot_hash_tracks_plan_changes():
+    gof = build_simple_goC()
+    planner = ADMMPlanner()
+    plan = planner.optimize(gof)
+
+    snapshot = graph_snapshot(gof, plan=plan)
+    assert snapshot["plan_delta"]["actions"][0]["details"]["utility_score"] > 0
+    assert snapshot["snapshot_hash"]
+
+
+def test_governance_ledger_canonicalizes_structured_details():
+    ledger = GovernanceLedger()
+    ledger.log_plan(actor="planner-1", status="approved", plan_hash="abc123", details={"agency": "ngo-a"})
+
+    record = ledger.list_logs()[0]
+    assert json.loads(record["details"]) == {"agency": "ngo-a", "plan_hash": "abc123"}