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BESS Solutions
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feat(v0.8.0): LCA Engine + FL Server + Fleet Orchestrator + P2P + DataLake
FL Server (src/interfaces/fl_server.py): - BESSAIFLServer: FedAvg weighted aggregation (offline simulation + Flower) - FedAvgConfig: num_rounds, min_fit/eval_clients, fraction_fit - simulate_round(): testable without network, updates Prometheus FL metrics - FLRoundResult: round history with loss, client count, duration LCA Carbon Engine (src/interfaces/lca_engine.py + lca_config.py): - LCAEngine: net CO2 avoided = grid_emissions - amortised_battery_CO2 - Per-region grid emission factor DB: 40+ countries (IEA WEO 2024 + ENTSO-E) - Battery embodied carbon: NMC/LFP/NCA chemistry configs - equivalent_trees_planted property for user-facing reporting - Prometheus: bess_carbon_avoided_kg, bess_carbon_intensity_g_kwh Fleet Orchestrator (src/core/fleet_orchestrator.py): - FleetOrchestrator: concurrent async telemetry polling (asyncio.gather) - SiteProxy: injectable telemetry_fn for testing, REST prod path - Weighted SOC aggregation across N sites; alarm site counting - Prometheus: bess_fleet_sites_active, bess_fleet_total_capacity_kwh P2P Energy Trading (src/interfaces/p2p_trading.py): - EnergyCredit: UUID + SHA-256 integrity hash + published flag - P2PEnergyTrader: mint/publish/flush_pending lifecycle; offline buffer - Hyperledger Fabric Orderer stub (_publish_remote clearly marked) - Prometheus: bess_energy_credits_minted_total, bess_energy_credits_kwh DataLake Publisher (src/interfaces/datalake_publisher.py): - DataLakePublisher: async context manager, batch streaming inserts - BigQuery streaming (google-cloud-bigquery optional dep) - JSONL local fallback when BigQuery unavailable or project_id empty - Fixed: timezone-aware datetime (Python 3.14 deprecation) - Prometheus: bess_datalake_rows_published_total Prometheus Metrics: +7 (22 total now — 7 new, all labelled [site_id]) Tests: 159/159 in 8.42s (+51 tests vs v0.7.0: 108/108) - test_lca_engine.py (10) + test_p2p_trading.py (13) - test_fl_server.py ( 9) + test_fleet_orchestrator.py (7) - test_datalake_publisher.py (8): asyncio.run() for Python 3.14 compat
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src/core/fleet_orchestrator.py

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"""
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src/core/fleet_orchestrator.py
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================================
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BESSAI Edge Gateway — Multi-Site Fleet Orchestrator.
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Manages telemetry, dispatch, and federated learning coordination across
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multiple BESSAI edge sites from a single orchestration process.
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Architecture:
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- FleetOrchestrator is instantiated once per aggregation tier
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- Each SiteProxy represents a remote BESSAI edge gateway
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- Orchestrator polls sites, aggregates fleet KPIs, triggers VPP events
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Typical deployment:
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- 1 fleet orchestrator per VPP control zone (e.g., per electricity market)
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- Each orchestrator coordinates N=5..50 BESSAI edge gateways
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- Communicates with edge via REST/gRPC (stub → mTLS in prod)
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Usage::
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orch = FleetOrchestrator(vpp=VPPPublisher(), lca=LCAEngine())
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orch.register_site("CL-001", SiteProxy("10.0.1.50", capacity_kwh=100))
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orch.register_site("CL-002", SiteProxy("10.0.1.51", capacity_kwh=200))
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summary = orch.run_cycle()
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"""
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from __future__ import annotations
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import asyncio
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import time
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from dataclasses import dataclass, field
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from typing import Optional
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import structlog
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from src.interfaces.metrics import (
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FLEET_SITES_ACTIVE,
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FLEET_TOTAL_CAPACITY_KWH,
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)
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__all__ = [
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"FleetOrchestrator", "SiteProxy", "SiteTelemetry", "FleetSummary",
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]
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log = structlog.get_logger(__name__)
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@dataclass
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class SiteTelemetry:
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"""Telemetry snapshot from a single BESSAI edge site."""
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site_id: str
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soc_pct: float # 0-100
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power_kw: float # + = charging, - = discharging
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temp_c: float
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capacity_kwh: float
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available_kw: float
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anomaly_score: float = 0.0
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timestamp: float = field(default_factory=time.time)
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@dataclass
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class FleetSummary:
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"""Aggregated fleet KPIs for one orchestration cycle."""
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n_sites: int
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total_capacity_kwh: float
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fleet_soc_pct: float # weighted average SOC
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total_power_kw: float # sum of all site power (kW)
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total_available_kw: float # sum of flex capacity
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sites_in_alarm: int # sites with anomaly_score > 0.7
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cycle_duration_s: float
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timestamp: float = field(default_factory=time.time)
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def __repr__(self) -> str:
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return (
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f"FleetSummary(n={self.n_sites}, "
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f"soc={self.fleet_soc_pct:.1f}%, "
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f"power={self.total_power_kw:.1f}kW, "
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f"flex={self.total_available_kw:.1f}kW)"
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)
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class SiteProxy:
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"""Proxy representing a remote BESSAI edge site.
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In production this would use an async httpx/gRPC call.
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In simulation / testing, inject a ``telemetry_fn`` callback.
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Parameters:
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host: IP/hostname of the remote site.
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site_id: Unique site identifier.
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capacity_kwh: Nameplate BESS capacity.
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telemetry_fn: Optional callable returning SiteTelemetry (for testing).
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"""
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def __init__(
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self,
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host: str,
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site_id: str = "unknown",
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capacity_kwh: float = 100.0,
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telemetry_fn=None,
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) -> None:
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self.host = host
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self.site_id = site_id
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self.capacity_kwh = capacity_kwh
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self._telemetry_fn = telemetry_fn
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self._last_telemetry: Optional[SiteTelemetry] = None
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async def fetch_telemetry(self) -> SiteTelemetry:
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"""Fetch current telemetry from this site.
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Returns:
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SiteTelemetry — from inject fn (test), or a realistic stub.
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"""
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if self._telemetry_fn is not None:
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tel = self._telemetry_fn(self.site_id)
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self._last_telemetry = tel
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return tel
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# Production stub — would be: async with httpx.AsyncClient() as c: ...
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stub = SiteTelemetry(
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site_id=self.site_id,
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soc_pct=60.0,
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power_kw=0.0,
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temp_c=28.0,
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capacity_kwh=self.capacity_kwh,
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available_kw=self.capacity_kwh * 0.5, # 50% flex
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)
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self._last_telemetry = stub
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return stub
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@property
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def last_telemetry(self) -> Optional[SiteTelemetry]:
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return self._last_telemetry
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class FleetOrchestrator:
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"""Multi-site BESS fleet orchestrator.
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Parameters:
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site_id: Identifier for Prometheus labels.
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anomaly_threshold: Score above which a site is counted as 'in alarm'.
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"""
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def __init__(
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self,
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site_id: str = "fleet",
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anomaly_threshold: float = 0.7,
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) -> None:
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self.site_id = site_id
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self.anomaly_threshold = anomaly_threshold
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self._sites: dict[str, SiteProxy] = {}
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# ------------------------------------------------------------------
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# Site management
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# ------------------------------------------------------------------
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def register_site(self, site_id: str, proxy: SiteProxy) -> None:
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"""Register a remote site under the given ID."""
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self._sites[site_id] = proxy
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FLEET_SITES_ACTIVE.labels(site_id=self.site_id).set(len(self._sites))
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log.info("fleet.site_registered", site_id=site_id, host=proxy.host)
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def remove_site(self, site_id: str) -> None:
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"""Remove a site from the fleet."""
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self._sites.pop(site_id, None)
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FLEET_SITES_ACTIVE.labels(site_id=self.site_id).set(len(self._sites))
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log.info("fleet.site_removed", site_id=site_id)
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@property
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def n_sites(self) -> int:
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return len(self._sites)
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@property
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def total_capacity_kwh(self) -> float:
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return sum(p.capacity_kwh for p in self._sites.values())
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# ------------------------------------------------------------------
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# Orchestration cycle
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# ------------------------------------------------------------------
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async def poll_all(self) -> list[SiteTelemetry]:
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"""Poll all registered sites concurrently.
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Returns:
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List of SiteTelemetry objects (one per site).
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"""
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coros = [proxy.fetch_telemetry() for proxy in self._sites.values()]
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results = await asyncio.gather(*coros, return_exceptions=True)
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telemetries = []
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for result in results:
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if isinstance(result, Exception):
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log.error("fleet.poll_error", error=str(result))
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else:
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telemetries.append(result)
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return telemetries
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def aggregate(self, telemetries: list[SiteTelemetry]) -> FleetSummary:
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"""Aggregate telemetry list into a FleetSummary.
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Args:
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telemetries: List of SiteTelemetry dataclasses.
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Returns:
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FleetSummary KPIs.
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"""
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if not telemetries:
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return FleetSummary(
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n_sites=0, total_capacity_kwh=0.0, fleet_soc_pct=0.0,
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total_power_kw=0.0, total_available_kw=0.0,
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sites_in_alarm=0, cycle_duration_s=0.0,
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)
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total_cap = sum(t.capacity_kwh for t in telemetries)
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weighted_soc = (
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sum(t.soc_pct * t.capacity_kwh for t in telemetries) / total_cap
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if total_cap > 0 else 0.0
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)
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total_power = sum(t.power_kw for t in telemetries)
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total_avail = sum(t.available_kw for t in telemetries)
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alarms = sum(1 for t in telemetries if t.anomaly_score > self.anomaly_threshold)
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# Update Prometheus
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FLEET_TOTAL_CAPACITY_KWH.labels(site_id=self.site_id).set(total_cap)
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FLEET_SITES_ACTIVE.labels(site_id=self.site_id).set(len(telemetries))
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return FleetSummary(
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n_sites=len(telemetries),
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total_capacity_kwh=total_cap,
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fleet_soc_pct=weighted_soc,
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total_power_kw=total_power,
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total_available_kw=total_avail,
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sites_in_alarm=alarms,
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cycle_duration_s=0.0, # populated by run_cycle()
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)
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def run_cycle(self) -> FleetSummary:
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"""Run a synchronous orchestration cycle (wraps async poll_all).
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Returns:
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FleetSummary with aggregated fleet KPIs.
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"""
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t0 = time.perf_counter()
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try:
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loop = asyncio.get_event_loop()
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except RuntimeError:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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telemetries = loop.run_until_complete(self.poll_all())
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summary = self.aggregate(telemetries)
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summary.cycle_duration_s = time.perf_counter() - t0
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log.info(
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"fleet.cycle_complete",
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n_sites=summary.n_sites,
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fleet_soc=round(summary.fleet_soc_pct, 1),
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total_power_kw=round(summary.total_power_kw, 1),
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alarms=summary.sites_in_alarm,
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duration_s=round(summary.cycle_duration_s, 4),
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)
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return summary

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