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// Data Access Layer for CRM Analytics
import { and, eq, sql } from "drizzle-orm";
import type { DrizzleD1Database } from "drizzle-orm/d1";
import * as schema from "../db/schema";
 
type DateRange = {
	from: number; // epoch seconds
	to: number; // epoch seconds
};
 
export type StageCounts = {
	stageId: number;
	count: number;
	totalQuoteValue: number;
};
 
export type WonLostCounts = {
	stageType: string;
	count: number;
	totalOrderValue: number;
};
 
export type SourceStats = {
	sourceId: number;
	total: number;
	wonCount: number;
	totalValue: number;
};
 
export type WonFinancials = {
	count: number;
	totalOrderValue: number;
	totalQuoteValue: number;
};
 
export type PipelineValue = {
	totalQuoteValue: number;
	count: number;
};
 
export type LossReasonRow = {
	category: string | null;
	count: number;
};
 
export class CrmAnalyticsDal {
	constructor(private db: DrizzleD1Database<typeof schema>) {}
 
	async getStageCountsForPro(
		proId: string,
		dateRange?: DateRange,
	): Promise<StageCounts[]> {
		// When a dateRange is provided, scope the counts to leads created in
		// that window — same convention as `getNewLeadsInPeriod` and
		// `getSourceStatsInPeriod`. Without it, returns counts across all
		// non-archived leads (used by callers that intentionally want the
		// "current state of the pipeline" view).
		const conditions = [
			eq(schema.leads.proId, proId),
			eq(schema.leads.isArchived, false),
		];
		if (dateRange) {
			conditions.push(
				sql`${schema.leads.dateCreated} >= ${dateRange.from}`,
				sql`${schema.leads.dateCreated} <= ${dateRange.to}`,
			);
		}
 
		return this.db
			.select({
				stageId: schema.leads.currentStageId,
				count: sql<number>`count(*)`,
				totalQuoteValue: sql<number>`coalesce(sum(${schema.leads.quoteValuePaise}), 0)`,
			})
			.from(schema.leads)
			.where(and(...conditions))
			.groupBy(schema.leads.currentStageId);
	}
 
	async getWonLostInPeriod(
		proId: string,
		dateRange: DateRange,
	): Promise<WonLostCounts[]> {
		return this.db
			.select({
				stageType: schema.pipelineStages.stageType,
				count: sql<number>`count(*)`,
				totalOrderValue: sql<number>`coalesce(sum(${schema.leads.orderValuePaise}), 0)`,
			})
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					sql`${schema.pipelineStages.stageType} IN ('system_terminal_won', 'system_terminal_lost')`,
					sql`${schema.leads.dateUpdated} >= ${dateRange.from}`,
					sql`${schema.leads.dateUpdated} <= ${dateRange.to}`,
				),
			)
			.groupBy(schema.pipelineStages.stageType);
	}
 
	async getNewLeadsInPeriod(
		proId: string,
		dateRange: DateRange,
	): Promise<number> {
		const result = await this.db
			.select({ count: sql<number>`count(*)` })
			.from(schema.leads)
			.where(
				and(
					eq(schema.leads.proId, proId),
					sql`${schema.leads.dateCreated} >= ${dateRange.from}`,
					sql`${schema.leads.dateCreated} <= ${dateRange.to}`,
				),
			);
		return result[0]?.count ?? 0;
	}
 
	async getSourceStatsInPeriod(
		proId: string,
		dateRange: DateRange,
	): Promise<SourceStats[]> {
		return this.db
			.select({
				sourceId: schema.leads.leadSourceId,
				total: sql<number>`count(*)`,
				wonCount: sql<number>`sum(case when ${schema.pipelineStages.stageType} = 'system_terminal_won' then 1 else 0 end)`,
				totalValue: sql<number>`coalesce(sum(case when ${schema.pipelineStages.stageType} = 'system_terminal_won' then ${schema.leads.orderValuePaise} else 0 end), 0)`,
			})
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					sql`${schema.leads.dateCreated} >= ${dateRange.from}`,
					sql`${schema.leads.dateCreated} <= ${dateRange.to}`,
				),
			)
			.groupBy(schema.leads.leadSourceId);
	}
 
	async getWonFinancialsInPeriod(
		proId: string,
		dateRange: DateRange,
	): Promise<WonFinancials> {
		const result = await this.db
			.select({
				count: sql<number>`count(*)`,
				totalOrderValue: sql<number>`coalesce(sum(${schema.leads.orderValuePaise}), 0)`,
				totalQuoteValue: sql<number>`coalesce(sum(${schema.leads.quoteValuePaise}), 0)`,
			})
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					sql`${schema.pipelineStages.stageType} = 'system_terminal_won'`,
					sql`${schema.leads.dateUpdated} >= ${dateRange.from}`,
					sql`${schema.leads.dateUpdated} <= ${dateRange.to}`,
				),
			);
		return (
			result[0] ?? { count: 0, totalOrderValue: 0, totalQuoteValue: 0 }
		);
	}
 
	async getActivePipelineValue(
		proId: string,
		dateRange?: DateRange,
	): Promise<PipelineValue> {
		// dateRange scopes to leads created in window (same convention as
		// `getStageCountsForPro`). Without it, returns total active pipeline
		// across all time.
		const conditions = [
			eq(schema.leads.proId, proId),
			eq(schema.leads.isArchived, false),
			sql`${schema.pipelineStages.stageType} NOT IN ('system_terminal_won', 'system_terminal_lost')`,
		];
		if (dateRange) {
			conditions.push(
				sql`${schema.leads.dateCreated} >= ${dateRange.from}`,
				sql`${schema.leads.dateCreated} <= ${dateRange.to}`,
			);
		}
 
		const result = await this.db
			.select({
				totalQuoteValue: sql<number>`coalesce(sum(${schema.leads.quoteValuePaise}), 0)`,
				count: sql<number>`count(*)`,
			})
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(and(...conditions));
		return result[0] ?? { totalQuoteValue: 0, count: 0 };
	}
 
	async getStaleLeadsCount(
		proId: string,
		staleThresholdEpoch: number,
	): Promise<number> {
		const result = await this.db
			.select({ count: sql<number>`count(*)` })
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					eq(schema.leads.isArchived, false),
					sql`${schema.pipelineStages.stageType} NOT IN ('system_terminal_won', 'system_terminal_lost')`,
					sql`(${schema.leads.lastContactedAt} IS NULL OR ${schema.leads.lastContactedAt} < ${staleThresholdEpoch})`,
				),
			);
		return result[0]?.count ?? 0;
	}
 
	async getStuckLeadsCount(
		proId: string,
		stuckThresholdEpoch: number,
	): Promise<number> {
		const result = await this.db
			.select({ count: sql<number>`count(*)` })
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					eq(schema.leads.isArchived, false),
					sql`${schema.pipelineStages.stageType} NOT IN ('system_terminal_won', 'system_terminal_lost')`,
					sql`${schema.leads.dateUpdated} < ${stuckThresholdEpoch}`,
				),
			);
		return result[0]?.count ?? 0;
	}
 
	/**
	 * Count active leads with no notes — scoped to pro's leads only.
	 * The subquery filters lead_activities by lead_id joined back to the
	 * pro-scoped outer query, preventing a cross-pro full table scan.
	 */
	async getNoNotesLeadsCount(proId: string): Promise<number> {
		const result = await this.db
			.select({ count: sql<number>`count(*)` })
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					eq(schema.leads.isArchived, false),
					sql`${schema.pipelineStages.stageType} NOT IN ('system_terminal_won', 'system_terminal_lost')`,
					sql`${schema.leads.id} NOT IN (
						SELECT DISTINCT ${schema.leadActivities.leadId}
						FROM ${schema.leadActivities}
						WHERE ${schema.leadActivities.activityType} = 'note_added'
						AND ${schema.leadActivities.leadId} = ${schema.leads.id}
					)`,
				),
			);
		return result[0]?.count ?? 0;
	}
 
	async getLossReasonBreakdown(
		proId: string,
		dateRange: DateRange,
	): Promise<LossReasonRow[]> {
		return this.db
			.select({
				category: schema.leads.lossReasonCategory,
				count: sql<number>`count(*)`,
			})
			.from(schema.leads)
			.innerJoin(
				schema.pipelineStages,
				eq(schema.leads.currentStageId, schema.pipelineStages.id),
			)
			.where(
				and(
					eq(schema.leads.proId, proId),
					sql`${schema.pipelineStages.stageType} = 'system_terminal_lost'`,
					sql`${schema.leads.dateUpdated} >= ${dateRange.from}`,
					sql`${schema.leads.dateUpdated} <= ${dateRange.to}`,
				),
			)
			.groupBy(schema.leads.lossReasonCategory);
	}
}