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Live Multi-Cloud Telemetry Streamer — Phase 7 Upgrade 3 (H43)
=============================================================
gRPC-schema-compatible telemetry event emitter for the EdgeCloudSwarmAgent.
In CI, operates in mock streaming mode — emits events deterministically to
a local JSON-lines telemetry log (data/telemetry_stream.jsonl), proving the
streaming protocol end-to-end without a real cloud endpoint.
H43 mandate:
- Stream emits N events with correct schema
- Monotonically-increasing timestamps (nanoseconds)
- Rolling SHA-256 stream integrity hash
- No events dropped (emitted_count == received_count)
"""
from __future__ import annotations
import hashlib
import json
import os
import time
from dataclasses import asdict, dataclass, field
from typing import Any, Dict, List, Optional
# ---------------------------------------------------------------------------
# TelemetryEvent dataclass (mirrors gRPC proto schema)
# ---------------------------------------------------------------------------
@dataclass
class TelemetryEvent:
"""Single structured telemetry event (gRPC-compatible schema)."""
event_id: str
timestamp_ns: int # Monotonic nanosecond timestamp
source_node: str # e.g. "edge_node_07", "cloud_solver"
metric_name: str # e.g. "edge_latency_ms", "enstrophy_snapshot"
metric_value: float
unit: str # e.g. "ms", "m^-2 s^-1", "fraction"
sequence_number: int # Per-node sequence counter
schema_version: str = "v1.0"
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def schema_valid(self) -> bool:
"""All required fields present and typed correctly."""
return (
isinstance(self.event_id, str) and len(self.event_id) > 0
and isinstance(self.timestamp_ns, int) and self.timestamp_ns > 0
and isinstance(self.source_node, str) and len(self.source_node) > 0
and isinstance(self.metric_name, str) and len(self.metric_name) > 0
and isinstance(self.metric_value, float)
and isinstance(self.unit, str)
and isinstance(self.sequence_number, int)
)
# ---------------------------------------------------------------------------
# TelemetryStreamer
# ---------------------------------------------------------------------------
class TelemetryStreamer:
"""
Collects telemetry events, validates monotonic ordering, computes rolling
SHA-256 integrity hash, and writes to a JSONL sink.
"""
def __init__(self, sink_filepath: Optional[str] = None):
self._events: List[TelemetryEvent] = []
self._last_ts_ns: int = 0
self._rolling_hash = hashlib.sha256()
self._monotonicity_violated = False
self._schema_errors: List[str] = []
self.sink_filepath = sink_filepath
def emit(self, event: TelemetryEvent) -> bool:
"""
Accept an event into the stream.
Returns False if event violates monotonic ordering or schema.
"""
if not event.schema_valid():
self._schema_errors.append(event.event_id)
return False
if event.timestamp_ns <= self._last_ts_ns:
self._monotonicity_violated = True
return False
self._last_ts_ns = event.timestamp_ns
self._events.append(event)
self._rolling_hash.update(json.dumps(event.to_dict(), sort_keys=True).encode())
return True
def flush(self) -> str:
"""Write all events to the JSONL sink and return the final integrity hash."""
if self.sink_filepath:
os.makedirs(
os.path.dirname(self.sink_filepath) if os.path.dirname(self.sink_filepath) else ".",
exist_ok=True,
)
with open(self.sink_filepath, "w", encoding="utf-8") as f:
for ev in self._events:
f.write(json.dumps(ev.to_dict()) + "\n")
return self._rolling_hash.hexdigest()
@property
def events_emitted(self) -> int:
return len(self._events)
@property
def stream_valid(self) -> bool:
return (
not self._monotonicity_violated
and len(self._schema_errors) == 0
and len(self._events) > 0
)
# ---------------------------------------------------------------------------
# Edge Swarm Telemetry Generator
# ---------------------------------------------------------------------------
def simulate_edge_telemetry_stream(
swarm_nodes: int = 16,
n_events_per_node: int = 10,
base_ts_ns: int = 1_000_000_000,
sink_filepath: Optional[str] = None,
) -> Dict[str, Any]:
"""
Generates deterministic telemetry events from `swarm_nodes` ARM Cortex-M4
edge nodes and the cloud solver, streaming them through a TelemetryStreamer.
Each node emits:
- edge_latency_ms per step
- local_enstrophy_snapshot
- cloud_sync_ack (boolean as float 0/1)
Returns streaming metrics conforming to the H43 mandate.
"""
streamer = TelemetryStreamer(sink_filepath=sink_filepath)
# Base per-node edge latency (deterministic, seeded from node index)
BASE_LATENCY_MS = 0.185
BASE_ENSTROPHY = 8.2e10
ts_ns = base_ts_ns
total_attempted = 0
seq_counters = {f"edge_node_{i:02d}": 0 for i in range(swarm_nodes)}
seq_counters["cloud_solver"] = 0
for step in range(n_events_per_node):
for node_i in range(swarm_nodes):
node_name = f"edge_node_{node_i:02d}"
# 1. Edge latency metric
latency = BASE_LATENCY_MS + 0.001 * (node_i % 3) # small deterministic spread
ev_latency = TelemetryEvent(
event_id=f"{node_name}_latency_{step}",
timestamp_ns=ts_ns,
source_node=node_name,
metric_name="edge_latency_ms",
metric_value=float(latency),
unit="ms",
sequence_number=seq_counters[node_name],
)
ts_ns += 1_000 # +1µs per event
seq_counters[node_name] += 1
streamer.emit(ev_latency)
total_attempted += 1
# 2. Enstrophy snapshot
enstrophy = BASE_ENSTROPHY * (1.0 - 0.001 * step) * (1.0 - 0.0005 * node_i)
ev_ens = TelemetryEvent(
event_id=f"{node_name}_enstrophy_{step}",
timestamp_ns=ts_ns,
source_node=node_name,
metric_name="enstrophy_snapshot",
metric_value=float(enstrophy),
unit="m^-2 s^-1",
sequence_number=seq_counters[node_name],
)
ts_ns += 1_000
seq_counters[node_name] += 1
streamer.emit(ev_ens)
total_attempted += 1
# Cloud solver sync ack
ev_ack = TelemetryEvent(
event_id=f"cloud_solver_ack_{step}",
timestamp_ns=ts_ns,
source_node="cloud_solver",
metric_name="cloud_sync_ack",
metric_value=1.0,
unit="bool",
sequence_number=seq_counters["cloud_solver"],
)
ts_ns += 10_000 # cloud events separated by 10µs
seq_counters["cloud_solver"] += 1
streamer.emit(ev_ack)
total_attempted += 1
integrity_hash = streamer.flush()
return {
"swarm_nodes": swarm_nodes,
"events_per_node": n_events_per_node,
"events_attempted": total_attempted,
"events_emitted": streamer.events_emitted,
"events_dropped": total_attempted - streamer.events_emitted,
"stream_integrity_hash": integrity_hash,
"telemetry_stream_valid": streamer.stream_valid,
"sink_filepath": sink_filepath,
"_measured": True,
}
# ---------------------------------------------------------------------------
# Stream Validator
# ---------------------------------------------------------------------------
def validate_telemetry_stream(filepath: str) -> Dict[str, Any]:
"""
Reads a JSONL telemetry stream file and confirms:
- Monotonically increasing timestamps
- All required schema fields present
- Integrity hash recomputable
"""
if not os.path.isfile(filepath):
return {"valid": False, "error": "File not found", "_measured": True}
events = []
schema_errors = 0
rolling = hashlib.sha256()
with open(filepath, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
d = json.loads(line)
required = {"event_id", "timestamp_ns", "source_node", "metric_name",
"metric_value", "unit", "sequence_number"}
if not required.issubset(d.keys()):
schema_errors += 1
continue
events.append(d)
rolling.update(json.dumps(d, sort_keys=True).encode())
except json.JSONDecodeError:
schema_errors += 1
monotonic = all(
events[i]["timestamp_ns"] < events[i + 1]["timestamp_ns"]
for i in range(len(events) - 1)
)
return {
"events_read": len(events),
"schema_errors": schema_errors,
"monotonic_timestamps": monotonic,
"recomputed_hash": rolling.hexdigest(),
"valid": monotonic and schema_errors == 0 and len(events) > 0,
"_measured": True,
}
# ---------------------------------------------------------------------------
# Negative Control
# ---------------------------------------------------------------------------
def negative_control_nc_p7_09() -> bool:
"""
NC-P7-09: Out-of-order timestamps or missing schema fields must be
deterministically rejected by the TelemetryStreamer.
"""
streamer = TelemetryStreamer()
ev1 = TelemetryEvent(
event_id="ev_001", timestamp_ns=2_000, source_node="node_00",
metric_name="latency_ms", metric_value=0.185, unit="ms", sequence_number=0,
)
ev2 = TelemetryEvent(
event_id="ev_002", timestamp_ns=1_000, # earlier timestamp — violation!
source_node="node_00", metric_name="latency_ms", metric_value=0.185,
unit="ms", sequence_number=1,
)
streamer.emit(ev1)
accepted_ev2 = streamer.emit(ev2)
rejected = (not accepted_ev2) and streamer._monotonicity_violated
return bool(rejected)
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