build(agent): jabba#56a767 iteration
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from __future__ import annotations
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from dataclasses import dataclass, asdict
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from typing import Any, Dict, List
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import hashlib
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import json
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from .dsl import PlanDelta
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@dataclass
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class CSFDFrame:
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timestamp_offset: int
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invariant_id_list: List[str]
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minimal_state_snapshot_hash: str
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expected_resource_bounds: Dict[str, Any]
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proof_stub_hash: str
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@dataclass
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class CSFDDigest:
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frames: List[CSFDFrame]
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signer: str = ""
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digest_hex: str = ""
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def _hash_obj(obj: Any) -> str:
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s = json.dumps(obj, sort_keys=True, separators=(",", ":"))
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return hashlib.sha256(s.encode()).hexdigest()
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def generate_csfd(plan_delta: PlanDelta, signer: str = "", n_frames: int = 3) -> CSFDDigest:
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"""Generate a compact Critical-Safety Frame Digest (CSFD) for a PlanDelta.
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The digest contains up to `n_frames` ordered frames. Each frame is a
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compact summary referencing invariant ids and a minimal snapshot hash.
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This implementation is intentionally small and deterministic for the
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MVP; a production implementation should include proper signing (ed25519)
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and configurable snapshot selectors.
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"""
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# Source invariants from PlanDelta.metadata (if present)
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invariants = plan_delta.metadata.get("invariants", {}) if plan_delta and plan_delta.metadata else {}
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# Flatten invariant ids deterministically
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invariant_ids = sorted(list(map(str, invariants.keys())))
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frames: List[CSFDFrame] = []
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# Create N frames. For small plan deltas we may repeat or slice invariant ids.
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for i in range(n_frames):
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# take a slice of invariant ids for this frame
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slice_start = (i * 1) % max(1, len(invariant_ids)) if invariant_ids else 0
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# choose up to 3 invariants per frame
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ids = invariant_ids[slice_start : slice_start + 3] if invariant_ids else []
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# minimal state snapshot: hash of a few plan delta fields
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snapshot = {
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"version": plan_delta.version,
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"delta_keys": sorted(list(map(str, plan_delta.delta.keys()))) if plan_delta.delta else [],
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"meta_keys": sorted(list(map(str, plan_delta.metadata.keys()))) if plan_delta.metadata else [],
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"frame_index": i,
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}
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minimal_hash = _hash_obj(snapshot)
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# proof_stub_hash: if metadata provides a proof stub map use it, else hash the snapshot
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proof_stub_hash = (
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plan_delta.metadata.get("proof_stub_hash", "")
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or _hash_obj({"snapshot": snapshot, "invariants": ids})
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)
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# expected_resource_bounds: best-effort from metadata
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expected_bounds = plan_delta.metadata.get("expected_resource_bounds", {}) or {}
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frame = CSFDFrame(
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timestamp_offset=i, # simplistic offset in frames
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invariant_id_list=ids,
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minimal_state_snapshot_hash=minimal_hash,
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expected_resource_bounds=expected_bounds,
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proof_stub_hash=proof_stub_hash,
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)
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frames.append(frame)
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# digest: compact hex over serialized frames
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digest_src = [asdict(f) for f in frames]
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digest_hex = hashlib.sha256(json.dumps(digest_src, sort_keys=True, separators=(",", ":")).encode()).hexdigest()
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csfd = CSFDDigest(frames=frames, signer=signer, digest_hex=digest_hex)
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# Safety: ensure serialized size is reasonably small (<= 512 bytes for MVP)
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serialized = json.dumps(asdict(csfd), sort_keys=True, separators=(",", ":"))
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if len(serialized.encode()) > 512:
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# If too large, truncate frames to last frame only and recompute digest
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frames = frames[:1]
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digest_src = [asdict(f) for f in frames]
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digest_hex = hashlib.sha256(json.dumps(digest_src, sort_keys=True, separators=(",", ":")).encode()).hexdigest()
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csfd = CSFDDigest(frames=frames, signer=signer, digest_hex=digest_hex)
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return csfd
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@ -0,0 +1,33 @@
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from missionledger.dsl import PlanDelta
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from missionledger.csfd import generate_csfd
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def test_csfd_generation_small_plandelta():
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pd = PlanDelta(delta={"move": True, "safe_buffer": 0.5}, version=2, metadata={
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"invariants": {"collision": True, "energy": True},
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"proof_stub_hash": "stub-abc",
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"expected_resource_bounds": {"energy": [0, 100]},
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})
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csfd = generate_csfd(pd, signer="planner-v1", n_frames=3)
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assert csfd is not None
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assert csfd.signer == "planner-v1"
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# frames count should be at least 1 and at most requested
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assert 1 <= len(csfd.frames) <= 3
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# digest hex should be a 64-char hex string
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assert isinstance(csfd.digest_hex, str)
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assert len(csfd.digest_hex) == 64
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def test_csfd_size_bound():
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# Create a PlanDelta with large metadata to force truncation path
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large_meta = {f"k{i}": "v" * 200 for i in range(5)}
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pd = PlanDelta(delta={"x": 1}, version=1, metadata={"invariants": {"a": True}, **large_meta})
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csfd = generate_csfd(pd, signer="s", n_frames=5)
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# Ensure serialized representation is <= 512 bytes as enforced
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import json
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serialized = json.dumps({"frames": [f.__dict__ for f in csfd.frames], "signer": csfd.signer, "digest_hex": csfd.digest_hex}, sort_keys=True, separators=(",", ":"))
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assert len(serialized.encode()) <= 512
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