package dashboard

import (
	"context"
	"fmt"
	"time"

	"tm/internal/notice"
	orm "tm/pkg/mongo"

	"go.mongodb.org/mongo-driver/v2/bson"
	mongodriver "go.mongodb.org/mongo-driver/v2/mongo"
)

const noticesCollectionName = "notices"

func (r *repository) Statistics(ctx context.Context, days int, startUnix int64) (*StatisticsReportResponse, error) {
	now := time.Now().UTC()
	endDay := time.Date(now.Year(), now.Month(), now.Day(), 0, 0, 0, 0, time.UTC)
	startDay := endDay.AddDate(0, 0, -(days - 1))

	scrapedTED, err := r.dailyCountByTimestamp(ctx, noticesCollectionName, bson.M{
		"source": notice.TenderSourceTEDScraper,
		"processing_metadata.scraped_at": bson.M{"$gte": startUnix, "$gt": 0},
	}, "processing_metadata.scraped_at")
	if err != nil {
		return nil, fmt.Errorf("scraped ted per day: %w", err)
	}

	scrapedDocuments, err := r.scrapedDocumentsPerDay(ctx, startUnix)
	if err != nil {
		return nil, fmt.Errorf("scraped documents per day: %w", err)
	}

	translatedNotices, err := r.translatedNoticesPerDay(ctx, startDay, endDay)
	if err != nil {
		return nil, fmt.Errorf("translated notices per day: %w", err)
	}

	totalDocuments, err := r.totalScrapedDocuments(ctx)
	if err != nil {
		return nil, fmt.Errorf("total scraped documents: %w", err)
	}

	totalTranslated, err := r.metricsCounter.Get(ctx, orm.AITranslationSuccessCounterKey)
	if err != nil {
		return nil, fmt.Errorf("total translated tenders: %w", err)
	}

	return &StatisticsReportResponse{
		Days:        days,
		GeneratedAt: now.Unix(),
		Daily: StatisticsDailySeries{
			ScrapedTED:        fillTrendSeries(days, scrapedTED),
			ScrapedDocuments:  fillTrendSeries(days, scrapedDocuments),
			TranslatedNotices: fillTrendSeries(days, translatedNotices),
		},
		Totals: StatisticsLifetimeTotals{
			ScrapedDocuments:  totalDocuments,
			TranslatedTenders: totalTranslated,
		},
	}, nil
}

func (r *repository) dailyCountByTimestamp(ctx context.Context, collection string, match bson.M, timestampField string) (map[string]int64, error) {
	pipeline := mongodriver.Pipeline{
		{{Key: "$match", Value: match}},
		{{Key: "$addFields", Value: bson.M{
			"metric_ts": normalizeTimestampExpr(timestampField),
		}}},
		{{Key: "$group", Value: bson.M{
			"_id": bson.M{
				"$dateToString": bson.M{
					"format":   "%Y-%m-%d",
					"date":     bson.M{"$toDate": bson.M{"$multiply": bson.A{"$metric_ts", 1000}}},
					"timezone": "UTC",
				},
			},
			"count": bson.M{"$sum": 1},
		}}},
	}

	cursor, err := r.mongoManager.GetCollection(collection).Aggregate(ctx, pipeline)
	if err != nil {
		return nil, err
	}
	defer cursor.Close(ctx)

	return decodeDailyCounts(ctx, cursor)
}

func (r *repository) scrapedDocumentsPerDay(ctx context.Context, startUnix int64) (map[string]int64, error) {
	pipeline := mongodriver.Pipeline{
		{{Key: "$match", Value: bson.M{
			"processing_metadata.documents_scraped": true,
			"scraped_documents":                   bson.M{"$exists": true, "$ne": bson.A{}},
		}}},
		{{Key: "$unwind", Value: "$scraped_documents"}},
		{{Key: "$addFields", Value: bson.M{
			"metric_ts": bson.M{
				"$cond": bson.A{
					bson.M{"$gt": bson.A{"$scraped_documents.scraped_at", 0}},
					"$scraped_documents.scraped_at",
					"$processing_metadata.documents_scraped_at",
				},
			},
		}}},
		{{Key: "$match", Value: bson.M{
			"metric_ts": bson.M{"$gte": startUnix, "$gt": 0},
		}}},
		{{Key: "$addFields", Value: bson.M{
			"metric_ts": normalizeTimestampExpr("metric_ts"),
		}}},
		{{Key: "$group", Value: bson.M{
			"_id": bson.M{
				"$dateToString": bson.M{
					"format":   "%Y-%m-%d",
					"date":     bson.M{"$toDate": bson.M{"$multiply": bson.A{"$metric_ts", 1000}}},
					"timezone": "UTC",
				},
			},
			"count": bson.M{"$sum": 1},
		}}},
	}

	cursor, err := r.mongoManager.GetCollection(tenderCollectionName()).Aggregate(ctx, pipeline)
	if err != nil {
		return nil, err
	}
	defer cursor.Close(ctx)

	return decodeDailyCounts(ctx, cursor)
}

func (r *repository) translatedNoticesPerDay(ctx context.Context, startDay, endDay time.Time) (map[string]int64, error) {
	return r.metricsCounter.GetDailyCounts(ctx, startDay, endDay)
}

func (r *repository) totalScrapedDocuments(ctx context.Context) (int64, error) {
	pipeline := mongodriver.Pipeline{
		{{Key: "$match", Value: bson.M{
			"processing_metadata.documents_scraped": true,
			"scraped_documents":                   bson.M{"$exists": true, "$ne": bson.A{}},
		}}},
		{{Key: "$project", Value: bson.M{
			"doc_count": bson.M{"$size": "$scraped_documents"},
		}}},
		{{Key: "$group", Value: bson.M{
			"_id":   nil,
			"total": bson.M{"$sum": "$doc_count"},
		}}},
	}

	cursor, err := r.mongoManager.GetCollection(tenderCollectionName()).Aggregate(ctx, pipeline)
	if err != nil {
		return 0, err
	}
	defer cursor.Close(ctx)

	if !cursor.Next(ctx) {
		return 0, nil
	}

	var row bson.M
	if err := cursor.Decode(&row); err != nil {
		return 0, err
	}

	return aggregateCount(row, "total"), nil
}

func decodeDailyCounts(ctx context.Context, cursor *mongodriver.Cursor) (map[string]int64, error) {
	counts := make(map[string]int64)
	for cursor.Next(ctx) {
		var row bson.M
		if err := cursor.Decode(&row); err != nil {
			return nil, err
		}
		date, ok := row["_id"].(string)
		if !ok || date == "" {
			continue
		}
		counts[date] = aggregateCount(row, "count")
	}
	if err := cursor.Err(); err != nil {
		return nil, err
	}
	return counts, nil
}