Joeven — Learn Autonomous AI Agents

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SCHEMA = {
    "name": "refund",
    "required": ["invoice_id", "amount_cents"],
    "properties": {
        "invoice_id": {"type": "string"},
        "amount_cents": {"type": "integer", "minimum": 1, "maximum": 1000000},
        "reason": {"type": "string", "enum": ["duplicate", "outage", "courtesy"]},
    },
}

def type_ok(val, spec):
    t = spec.get("type")
    if t == "string":
        return isinstance(val, str)
    if t == "integer":
        return isinstance(val, int) and not isinstance(val, bool)
    return True

def validate(args, schema):
    errors = []
    props = schema["properties"]
    for key in schema["required"]:
        if key not in args:
            errors.append("missing " + key)
    for key, val in args.items():
        if key not in props:
            errors.append("unknown field " + key)
            continue
        spec = props[key]
        if not type_ok(val, spec):
            errors.append(key + " bad type")
        if "enum" in spec and val not in spec["enum"]:
            errors.append(key + " not in enum")
        if "minimum" in spec and isinstance(val, int) and val < spec["minimum"]:
            errors.append(key + " below minimum")
        if "maximum" in spec and isinstance(val, int) and val > spec["maximum"]:
            errors.append(key + " above maximum")
    return errors

samples = [
    {"invoice_id": "INV-17", "amount_cents": 4000, "reason": "duplicate"},
    {"invoice_id": "INV-17", "amount_cents": 4000, "reason": "because I said so"},
    {"amount_cents": 1},
    {"invoice_id": "INV-17", "amount_cents": -5},
]
for s in samples:
    errs = validate(s, SCHEMA)
    print(s, "->", errs or "ok")

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