ml

type Command interface {
	// DatasourceUID returns UID of a data source that is used by machine learning as the source of data
	DatasourceUID() string
	// Execute creates a payload send request to the ML API by calling the function argument sendRequest, and then parses response.
	// Function sendRequest is supposed to abstract the client configuration such creating http request, adding authorization parameters, host etc.
	Execute(from, to time.Time, sendRequest func(method string, path string, payload []byte) (response.Response, error)) (*backend.QueryDataResponse, error)
}

type CommandConfiguration struct {
	Type       string              `json:"type"`
	IntervalMs *uint               `json:"intervalMs,omitempty"`
	Config     jsoniter.RawMessage `json:"config"`
}

type CommandType string

type FakeCommand struct {
	Method     string
	Path       string
	Payload    []byte
	Response   *backend.QueryDataResponse
	Error      error
	Recordings []struct {
		From     time.Time
		To       time.Time
		Response response.Response
		Error    error
	}
}

type OutlierCommand struct {
	// contains filtered or unexported fields
}

type OutlierCommandConfiguration struct {
	DatasourceType string `json:"datasource_type"`
	DatasourceUID  string `json:"datasource_uid,omitempty"`

	// If Query is empty it should be contained in a datasource specific format
	// inside of QueryParms.
	Query       string                 `json:"query,omitempty"`
	QueryParams map[string]interface{} `json:"query_params,omitempty"`

	Algorithm    map[string]interface{} `json:"algorithm"`
	ResponseType string                 `json:"response_type"`
}