import { Queue, Worker } from 'bullmq';
import supabase from './supabase';
import clickhouse from './clickhouse';
import { getRedisClient } from './redis';

interface ScheduledCollectionData {
  type: 'influencer_metrics' | 'post_metrics';
  influencer_id?: string;
  post_id?: string;
  project_id?: string;
}

// Create a mock scheduler if BullMQ doesn't export QueueScheduler
class MockQueueScheduler {
  constructor(queueName: string, options: any) {
    console.log(`Creating mock scheduler for queue: ${queueName}`);
  }
}

// Create scheduled collection queue
const createScheduledTaskQueue = async () => {
  const connection = { 
    host: process.env.BULL_REDIS_HOST || 'localhost',
    port: parseInt(process.env.BULL_REDIS_PORT || '6379'),
    password: process.env.BULL_REDIS_PASSWORD || '',
  };
  
  const queueOptions = {
    connection,
    defaultJobOptions: {
      attempts: 3,
      backoff: {
        type: 'exponential',
        delay: 5000,
      },
    },
  };
  
  // Create queue
  const scheduledCollectionQueue = new Queue('scheduled-data-collection', queueOptions);
  
  // Note about scheduler:
  // In a production environment, a QueueScheduler should be initialized
  // for handling delayed/repeatable jobs properly.
  // The QueueScheduler can be initialized separately if needed.
  
  return scheduledCollectionQueue;
};

// Initialize scheduled collection workers
export const initScheduledTaskWorkers = () => {
  const worker = new Worker(
    'scheduled-data-collection',
    async (job) => {
      console.log(`Processing scheduled task: ${job.id}`, job.data);
      const { type, influencer_id, post_id, project_id } = job.data as ScheduledCollectionData;
      
      try {
        if (type === 'influencer_metrics') {
          await collectInfluencerMetrics(influencer_id);
        } else if (type === 'post_metrics') {
          await collectPostMetrics(post_id);
        }
        
        console.log(`Successfully completed scheduled task: ${job.id}`);
        return { success: true, timestamp: new Date().toISOString() };
      } catch (error) {
        console.error(`Error processing scheduled task ${job.id}:`, error);
        throw error;
      }
    },
    {
      connection: { 
        host: process.env.BULL_REDIS_HOST || 'localhost',
        port: parseInt(process.env.BULL_REDIS_PORT || '6379'),
        password: process.env.BULL_REDIS_PASSWORD || '',
      },
      concurrency: 5,
    }
  );
  
  worker.on('completed', job => {
    console.log(`Scheduled task completed: ${job.id}`);
  });
  
  worker.on('failed', (job, err) => {
    console.error(`Scheduled task failed: ${job?.id}`, err);
  });
  
  return worker;
};

// Schedule data collection jobs
export const scheduleInfluencerCollection = async (
  influencerId: string,
  cronExpression: string = '0 0 * * *' // Default: Every day at midnight
) => {
  const queue = await createScheduledTaskQueue();
  
  await queue.add(
    `influencer-collection-${influencerId}`,
    {
      type: 'influencer_metrics',
      influencer_id: influencerId,
      scheduled_at: new Date().toISOString()
    },
    {
      jobId: `influencer-${influencerId}-${Date.now()}`,
      repeat: {
        pattern: cronExpression
      }
    }
  );
  
  return true;
};

export const schedulePostCollection = async (
  postId: string,
  cronExpression: string = '0 0 * * *' // Default: Every day at midnight
) => {
  const queue = await createScheduledTaskQueue();
  
  await queue.add(
    `post-collection-${postId}`,
    {
      type: 'post_metrics',
      post_id: postId,
      scheduled_at: new Date().toISOString()
    },
    {
      jobId: `post-${postId}-${Date.now()}`,
      repeat: {
        pattern: cronExpression
      }
    }
  );
  
  return true;
};

// Remove scheduled jobs
export const removeScheduledJob = async (jobId: string) => {
  const queue = await createScheduledTaskQueue();
  await queue.removeRepeatableByKey(jobId);
  return true;
};

// Get all scheduled jobs
export const getScheduledJobs = async () => {
  const queue = await createScheduledTaskQueue();
  const repeatableJobs = await queue.getRepeatableJobs();
  return repeatableJobs;
};

// Implementation of collection functions
// These functions would typically call APIs or scrape data from platforms

async function collectInfluencerMetrics(influencerId?: string) {
  if (!influencerId) {
    throw new Error('Influencer ID is required');
  }
  
  // Get influencer data from Supabase
  const { data: influencer, error } = await supabase
    .from('influencers')
    .select('influencer_id, name, platform, external_id')
    .eq('influencer_id', influencerId)
    .single();
  
  if (error || !influencer) {
    throw new Error(`Failed to find influencer: ${error?.message}`);
  }
  
  // Here you would integrate with platform APIs to get updated metrics
  // This is a placeholder that would be replaced with actual API calls
  
  // Simulate collecting metrics (in a real scenario, this would come from APIs)
  const simulatedMetrics = {
    followers_count: Math.floor(50000 + Math.random() * 1000),
    video_count: Math.floor(100 + Math.random() * 5),
    views_count: Math.floor(1000000 + Math.random() * 50000),
    likes_count: Math.floor(500000 + Math.random() * 20000)
  };
  
  // Record the metrics in both Supabase and ClickHouse
  
  // Get the current metrics to calculate changes
  const { data: currentMetrics, error: metricsError } = await supabase
    .from('influencers')
    .select('followers_count, video_count')
    .eq('influencer_id', influencerId)
    .single();
  
  if (metricsError) {
    throw new Error(`Failed to get current metrics: ${metricsError.message}`);
  }
  
  // Calculate changes
  const followerChange = (simulatedMetrics.followers_count || 0) - (currentMetrics?.followers_count || 0);
  const videoChange = (simulatedMetrics.video_count || 0) - (currentMetrics?.video_count || 0);
  
  // Update Supabase
  const { error: updateError } = await supabase
    .from('influencers')
    .update(simulatedMetrics)
    .eq('influencer_id', influencerId);
  
  if (updateError) {
    throw new Error(`Failed to update influencer metrics: ${updateError.message}`);
  }
  
  // Record events in ClickHouse
  const timestamp = new Date().toISOString();
  const eventPromises = [];
  
  if (followerChange !== 0) {
    eventPromises.push(
      clickhouse.query({
        query: `
          INSERT INTO promote.events (
            event_type,
            influencer_id,
            timestamp,
            metric_name,
            metric_value,
            metric_total,
            recorded_by
          ) VALUES (?, ?, ?, ?, ?, ?, ?)
        `,
        values: [
          'followers_count_change',
          influencerId,
          timestamp,
          'followers_count',
          followerChange,
          simulatedMetrics.followers_count,
          'system' // Recorded by the system scheduler
        ]
      })
    );
  }
  
  if (videoChange !== 0) {
    eventPromises.push(
      clickhouse.query({
        query: `
          INSERT INTO promote.events (
            event_type,
            influencer_id,
            timestamp,
            metric_name,
            metric_value,
            metric_total,
            recorded_by
          ) VALUES (?, ?, ?, ?, ?, ?, ?)
        `,
        values: [
          'video_count_change',
          influencerId,
          timestamp,
          'video_count',
          videoChange,
          simulatedMetrics.video_count,
          'system' // Recorded by the system scheduler
        ]
      })
    );
  }
  
  await Promise.all(eventPromises);
  
  return {
    influencer_id: influencerId,
    timestamp,
    metrics: simulatedMetrics,
    changes: {
      followers: followerChange,
      videos: videoChange
    }
  };
}

async function collectPostMetrics(postId?: string) {
  if (!postId) {
    throw new Error('Post ID is required');
  }
  
  // Get post data from Supabase
  const { data: post, error } = await supabase
    .from('posts')
    .select('post_id, influencer_id, platform, post_url, title')
    .eq('post_id', postId)
    .single();
  
  if (error || !post) {
    throw new Error(`Failed to find post: ${error?.message}`);
  }
  
  // Here you would integrate with platform APIs to get updated metrics
  // This is a placeholder that would be replaced with actual API calls
  
  // Simulate collecting metrics (in a real scenario, this would come from APIs)
  const simulatedMetrics = {
    views_count: Math.floor(10000 + Math.random() * 5000),
    likes_count: Math.floor(5000 + Math.random() * 1000),
    comments_count: Math.floor(200 + Math.random() * 50),
    shares_count: Math.floor(100 + Math.random() * 20)
  };
  
  // Get the current metrics to calculate changes
  const { data: currentMetrics, error: metricsError } = await supabase
    .from('posts')
    .select('views_count, likes_count, comments_count, shares_count')
    .eq('post_id', postId)
    .single();
  
  if (metricsError) {
    throw new Error(`Failed to get current metrics: ${metricsError.message}`);
  }
  
  // Calculate changes
  const viewsChange = (simulatedMetrics.views_count || 0) - (currentMetrics?.views_count || 0);
  const likesChange = (simulatedMetrics.likes_count || 0) - (currentMetrics?.likes_count || 0);
  const commentsChange = (simulatedMetrics.comments_count || 0) - (currentMetrics?.comments_count || 0);
  const sharesChange = (simulatedMetrics.shares_count || 0) - (currentMetrics?.shares_count || 0);
  
  // Update Supabase
  const { error: updateError } = await supabase
    .from('posts')
    .update(simulatedMetrics)
    .eq('post_id', postId);
  
  if (updateError) {
    throw new Error(`Failed to update post metrics: ${updateError.message}`);
  }
  
  // Record events in ClickHouse
  const timestamp = new Date().toISOString();
  const eventPromises = [];
  
  // Only record changes if they are non-zero
  interface MetricChanges {
    views: number;
    likes: number;
    comments: number;
    shares: number;
  }
  
  const changes: MetricChanges = {
    views: viewsChange,
    likes: likesChange,
    comments: commentsChange,
    shares: sharesChange
  };
  
  const metricsMap = {
    views: simulatedMetrics.views_count,
    likes: simulatedMetrics.likes_count,
    comments: simulatedMetrics.comments_count,
    shares: simulatedMetrics.shares_count
  };
  
  for (const [key, value] of Object.entries(changes)) {
    if (value !== 0) {
      const metricName = `${key}_count`;
      const metricTotal = metricsMap[key as keyof typeof metricsMap];
      
      eventPromises.push(
        clickhouse.query({
          query: `
            INSERT INTO promote.events (
              event_type,
              post_id,
              influencer_id,
              timestamp,
              metric_name,
              metric_value,
              metric_total,
              recorded_by
            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
          `,
          values: [
            `post_${metricName}_change`,
            postId,
            post.influencer_id,
            timestamp,
            metricName,
            value,
            metricTotal,
            'system' // Recorded by the system scheduler
          ]
        })
      );
    }
  }
  
  await Promise.all(eventPromises);
  
  return {
    post_id: postId,
    timestamp,
    metrics: simulatedMetrics,
    changes
  };
}