// Copyright 2013 Prometheus Team
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package format

import (
	"container/list"
	"fmt"
	"github.com/prometheus/prometheus/model"
	"github.com/prometheus/prometheus/utility/test"
	"io/ioutil"
	"strings"
	"testing"
	"time"
)

func testProcessor002Process(t test.Tester) {
	var scenarios = []struct {
		in  string
		out []Result
		err error
	}{
		{
			err: fmt.Errorf("EOF"),
		},
		{
			in: `[{"baseLabels":{"name":"rpc_calls_total"},"docstring":"RPC calls.","metric":{"type":"counter","value":[{"labels":{"service":"zed"},"value":25},{"labels":{"service":"bar"},"value":25},{"labels":{"service":"foo"},"value":25}]}},{"baseLabels":{"name":"rpc_latency_microseconds"},"docstring":"RPC latency.","metric":{"type":"histogram","value":[{"labels":{"service":"foo"},"value":{"0.010000":15.890724674774395,"0.050000":15.890724674774395,"0.500000":84.63044031436561,"0.900000":160.21100853053224,"0.990000":172.49828748957728}},{"labels":{"service":"zed"},"value":{"0.010000":0.0459814091918713,"0.050000":0.0459814091918713,"0.500000":0.6120456642749681,"0.900000":1.355915069887731,"0.990000":1.772733213161236}},{"labels":{"service":"bar"},"value":{"0.010000":78.48563317257356,"0.050000":78.48563317257356,"0.500000":97.31798360385088,"0.900000":109.89202084295582,"0.990000":109.99626121011262}}]}}]`,
			out: []Result{
				{
					Sample: model.Sample{
						Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total"},
						Value:  25,
					},
				},
				{
					Sample: model.Sample{
						Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total"},
						Value:  25,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total"},
						Value:  25,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
						Value:  0.0459814091918713,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
						Value:  78.48563317257356,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
						Value:  15.890724674774395,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
						Value:  0.0459814091918713,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
						Value:  78.48563317257356,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
						Value:  15.890724674774395,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
						Value:  0.6120456642749681,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
						Value:  97.31798360385088,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
						Value:  84.63044031436561,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
						Value:  1.355915069887731,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
						Value:  109.89202084295582,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
						Value:  160.21100853053224,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
						Value:  1.772733213161236,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
						Value:  109.99626121011262,
					},
				},
				{
					Sample: model.Sample{

						Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
						Value:  172.49828748957728,
					},
				},
			},
		},
	}

	for i, scenario := range scenarios {
		inputChannel := make(chan Result, 1024)

		defer func(c chan Result) {
			close(c)
		}(inputChannel)

		reader := strings.NewReader(scenario.in)

		err := Processor002.Process(ioutil.NopCloser(reader), time.Now(), model.LabelSet{}, inputChannel)
		if !test.ErrorEqual(scenario.err, err) {
			t.Errorf("%d. expected err of %s, got %s", i, scenario.err, err)
			continue
		}

		delivered := make([]Result, 0)

		for len(inputChannel) != 0 {
			delivered = append(delivered, <-inputChannel)
		}

		if len(delivered) != len(scenario.out) {
			t.Errorf("%d. expected output length of %d, got %d", i, len(scenario.out), len(delivered))

			continue
		}

		expectedElements := list.New()
		for _, j := range scenario.out {
			expectedElements.PushBack(j)
		}

		for j := 0; j < len(delivered); j++ {
			actual := delivered[j]

			found := false
			for element := expectedElements.Front(); element != nil && found == false; element = element.Next() {
				candidate := element.Value.(Result)

				if !test.ErrorEqual(candidate.Err, actual.Err) {
					continue
				}

				if candidate.Sample.Value != actual.Sample.Value {
					continue
				}

				if len(candidate.Sample.Metric) != len(actual.Sample.Metric) {
					continue
				}

				labelsMatch := false

				for key, value := range candidate.Sample.Metric {
					actualValue, ok := actual.Sample.Metric[key]
					if !ok {
						break
					}
					if actualValue == value {
						labelsMatch = true
						break
					}
				}

				if !labelsMatch {
					continue
				}

				// XXX: Test time.
				found = true
				expectedElements.Remove(element)
			}

			if !found {
				t.Errorf("%d.%d. expected to find %s among candidate, absent", i, j, actual.Sample)
			}
		}
	}
}

func TestProcessor002Process(t *testing.T) {
	testProcessor002Process(t)
}

func BenchmarkProcessor002Process(b *testing.B) {
	for i := 0; i < b.N; i++ {
		testProcessor002Process(b)
	}
}