metric.graphqls

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input MetricCondition {
    # Metric name, which should be defined in OAL script
    # Such as:
    # Endpoint_avg = from(Endpoint.latency).avg()
    # Then, `Endpoint_avg`
    name: String!
    # Id in this metric type.
    # In the above case, the id should be endpoint id.
    id: ID
}

type LinearIntValues {
    values: [KVInt!]!
}

type KVInt {
    id: ID!
    # This is the value, the caller must understand the Unit.
    # Such as:
    # 1. If ask for cpm metric, the unit and result should be count.
    # 2. If ask for response time (p99 or avg), the unit should be millisecond.
    value: Int!
}

type Thermodynamic {
    # Each element in nodes represents a point in Thermodynamic Diagram
    # And the element includes three values:
    # 1) Time Bucket based on query duration
    # 2) Response time index.
    #    Response time = [responseTimeStep * index, responseTimeStep * (index+1))
    #    The last element: [Response Time * index, MAX)
    # 3) The number of calls in this response time duration.
    #
    # Example:
    # [ [0, 0, 10], [0, 1, 43], ...]
    # These ^^^ two represent the left bottom element, and another element above it.
    nodes: [[Long]!]!
    axisYStep: Int!
}


extend type Query {
    getLinearIntValues(metric: MetricCondition!, duration: Duration!): LinearIntValues
    getThermodynamic(metric: MetricCondition!, duration: Duration!): Thermodynamic
}