Når du vet nøyaktig
hva du leter etter

def format_context(equipment_id: str, data: dict) -> str:
    """Convert raw API data into a model-friendly context string."""

    equipment = data["equipment"]
    alarms = data["alarms"]
    service = data["service_history"]
    sensor  = data["sensor_readings"]

    lines = [
        f"## Utstyr: {equipment['name']} ({equipment_id})",
        f"Modell: {equipment['model']}  |  Produsert: {equipment['year']}  |  Plassering: {equipment['location']}",
        f"Driftstimer totalt: {equipment['runtime_hours']:,} t",
        "",
        "## Latest sensor readings",
    ]

    for s in sensor["latest"]:
        flag = " ⚠️ UTENFOR NORMALVERDI" if s["out_of_range"] else ""
        lines.append(
            f"  {s['name']}: {s['value']} {s['unit']}"
            f"  (normalt: {s['normal_range']}, avlest: {s['timestamp']}){flag}"
        )

    active = [a for a in alarms if a["active"]]
    lines += ["", f"## Active alarms ({len(active)})"]
    if active:
        for a in active:
            lines.append(f"  [{a['severity'].upper()}] {a['code']}: {a['description']} — siden {a['since']}")
    else:
        lines.append("  Ingen active alarms.")

    lines += ["", "## Service history (siste 3)"]
    for s in service["recent"][:3]:
        lines.append(f"  {s['date']}  {s['type']}  — {s['summary']}")

    return "\n".join(lines)

# pip install anthropic

import asyncio, anthropic
from datetime import datetime

# ── Replace these stubs with your actual API calls ─────────────────

async def fetch_equipment(equipment_id: str) -> dict:
    # Bytt ut med ditt CMMS / ERP / SQL-spørring
    return {
        "name": "Kjølevannspumpe #3",
        "model": "Grundfos CM5-7",
        "location": "Maskinrom B, spant 42",
        "runtime_hours": 14820,
        "installed": "2019-04-12",
    }

async def fetch_alarms(equipment_id: str) -> list:
    # Bytt ut med ditt alarm-system
    return [
        {"code": "HH-TI-301", "description": "Høy kjølevannstemperatur",
         "severity": "high", "active": True,  "since": "2026-03-13 06:14"},
        {"code": "L-PI-204",  "description": "Lavt oljetrykk",
         "severity": "medium", "active": False, "since": "2026-02-28 22:05"},
    ]

async def fetch_service(equipment_id: str) -> list:
    # Bytt ut med ditt vedlikeholdssystem
    return [
        {"date": "2026-01-15", "type": "Periodisk service",
         "summary": "Tetningsring byttet, pumpe OK"},
        {"date": "2025-07-03", "type": "Uplanlagt stopp",
         "summary": "Vibrasjon, impeller rengjort"},
    ]

# ── Fetch everything in parallel ───────────────────────────────────

async def build_context(equipment_id: str) -> str:
    equipment, alarms, service = await asyncio.gather(
        fetch_equipment(equipment_id),
        fetch_alarms(equipment_id),
        fetch_service(equipment_id),
    )

    active = [a for a in alarms if a["active"]]
    alarm_text = "\n".join(
        f"  [{a['severity'].upper()}] {a['code']}: {a['description']} siden {a['since']}"
        for a in active
    ) or "  Ingen active alarms."

    service_text = "\n".join(
        f"  {s['date']}  {s['type']} — {s['summary']}"
        for s in service[:3]
    )

    return f"""## Utstyr: {equipment['name']} ({equipment_id})
Model: {equipment['model']}  |  Location: {equipment['location']}
Runtime: {equipment['runtime_hours']:,} h  |  Installed: {equipment['installed']}

## Active alarms ({len(active)})
{alarm_text}

## Service history
{service_text}

(Data fetched: {datetime.now().strftime('%Y-%m-%d %H:%M')})"""

# ── Query Claude with the context ──────────────────────────────────

async def ask(equipment_id: str, question: str) -> str:
    context = await hent_context(equipment_id)

    client = anthropic.Anthropic()
    svar = client.messages.create(
        model="claude-sonnet-4-20250514",
        max_tokens=1024,
        system="""Du er teknisk støtteassistent for skipsequipment.
Du mottar strukturert context om et spesifikt equipment.
Svar basert på contexten. Fremhev flag og risiko tydelig.
Referer alltid til konkrete verdier, koder og datoer fra contexten.""",
        messages=[{
            "role": "user",
            "content": f"Utstyrscontext:\n{context}\n\nSpørsmål: {question}"
        }]
    )
    return svar.content[0].text

# Run
result = asyncio.run(ask("EQ-4421", "What is the current status and what should I do now?"))
print(result)