Un'organizzazione che non si percepisce non può ragionare su se stessa.

sensor_event.py

from dataclasses import dataclass
from datetime import datetime
from typing import Literal

SignalKind = Literal[
    "vibration", "temperature", "pressure",
    "flow", "level", "current", "event",
]

@dataclass(frozen=True)
class SensorEvent:
    id: str
    source_id: str          # device or feed
    kind: SignalKind
    value: float
    unit: str               # SI, validated
    timestamp: datetime

    # context — never optional
    asset_id: str           # machine, gate, line
    site_id: str
    confidence: float       # device-reported

    # fusion graph relationships
    confirmed_by: list[str] # other event ids
    contradicts: list[str]
    escalates_to: list[str] # event types it triggers

line_query.py

# Tauran exposes the line as a queryable surface.
line = tauran.line(id="extrusion-A2")

line.state(at=clock.now())
# current operating mode, throughput, anomalies

line.quality(window="last_8h")
# defect rate trend, root-cause clusters

line.bottlenecks()
# inferred from telemetry + KO graph

line.escalations(severity=">=warning")
# events the system thinks a human should see

line.optimisation_hints()
# where the math says throughput could move