package metricdata

import (
	"context"
	"fmt"

	"github.com/ClusterCockpit/cc-jobarchive/config"
	"github.com/ClusterCockpit/cc-jobarchive/graph/model"
	"github.com/ClusterCockpit/cc-jobarchive/schema"
)

type MetricDataRepository interface {
	Init(url string) error
	LoadData(job *model.Job, metrics []string, ctx context.Context) (schema.JobData, error)
	LoadStats(job *model.Job, metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error)
	LoadNodeData(clusterId string, metrics, nodes []string, from, to int64, ctx context.Context) (map[string]map[string][]schema.Float, error)
}

var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}

var JobArchivePath string

func Init(jobArchivePath string) error {
	JobArchivePath = jobArchivePath
	for _, cluster := range config.Clusters {
		if cluster.MetricDataRepository != nil {
			switch cluster.MetricDataRepository.Kind {
			case "cc-metric-store":
				ccms := &CCMetricStore{}
				if err := ccms.Init(cluster.MetricDataRepository.Url); err != nil {
					return err
				}
				metricDataRepos[cluster.ClusterID] = ccms
			case "influxdb-v2":
				idb := &InfluxDBv2DataRepository{}
				if err := idb.Init(cluster.MetricDataRepository.Url); err != nil {
					return err
				}
				metricDataRepos[cluster.ClusterID] = idb
			default:
				return fmt.Errorf("unkown metric data repository '%s' for cluster '%s'", cluster.MetricDataRepository.Kind, cluster.ClusterID)
			}
		}
	}
	return nil
}

// Fetches the metric data for a job.
func LoadData(job *model.Job, metrics []string, ctx context.Context) (schema.JobData, error) {
	if job.State == model.JobStateRunning {
		repo, ok := metricDataRepos[job.ClusterID]
		if !ok {
			return nil, fmt.Errorf("no metric data repository configured for '%s'", job.ClusterID)
		}

		return repo.LoadData(job, metrics, ctx)
	}

	data, err := loadFromArchive(job)
	if err != nil {
		return nil, err
	}

	if metrics != nil {
		res := schema.JobData{}
		for _, metric := range metrics {
			if metricdata, ok := data[metric]; ok {
				res[metric] = metricdata
			}
		}
		return res, nil
	}
	return data, nil
}

// Used for the jobsFootprint GraphQL-Query. TODO: Rename/Generalize.
func LoadAverages(job *model.Job, metrics []string, data [][]schema.Float, ctx context.Context) error {
	if job.State != model.JobStateRunning {
		return loadAveragesFromArchive(job, metrics, data)
	}

	repo, ok := metricDataRepos[job.ClusterID]
	if !ok {
		return fmt.Errorf("no metric data repository configured for '%s'", job.ClusterID)
	}

	stats, err := repo.LoadStats(job, metrics, ctx)
	if err != nil {
		return err
	}

	for i, m := range metrics {
		nodes, ok := stats[m]
		if !ok {
			data[i] = append(data[i], schema.NaN)
			continue
		}

		sum := 0.0
		for _, node := range nodes {
			sum += node.Avg
		}
		data[i] = append(data[i], schema.Float(sum))
	}

	return nil
}

func LoadNodeData(clusterId string, metrics, nodes []string, from, to int64, ctx context.Context) (map[string]map[string][]schema.Float, error) {
	repo, ok := metricDataRepos[clusterId]
	if !ok {
		return nil, fmt.Errorf("no metric data repository configured for '%s'", clusterId)
	}

	data, err := repo.LoadNodeData(clusterId, metrics, nodes, from, to, ctx)
	if err != nil {
		return nil, err
	}

	if data == nil {
		return nil, fmt.Errorf("the metric data repository for '%s' does not support this query", clusterId)
	}

	return data, nil
}