import OpenAI from 'openai'
import fs from 'fs/promises'
import path from 'path'
import { enhancedScreenshotService, ScreenshotConfig } from './enhanced-screenshot'
import { TradingViewCredentials } from './tradingview-automation'

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
})

export interface AnalysisResult {
  summary: string
  marketSentiment: 'BULLISH' | 'BEARISH' | 'NEUTRAL'
  keyLevels: {
    support: number[]
    resistance: number[]
  }
  recommendation: 'BUY' | 'SELL' | 'HOLD'
  confidence: number // 0-100
  reasoning: string
  // Enhanced trading analysis (optional)
  entry?: {
    price: number
    buffer?: string
    rationale: string
  }
  stopLoss?: {
    price: number
    rationale: string
  }
  takeProfits?: {
    tp1?: { price: number; description: string }
    tp2?: { price: number; description: string }
  }
  riskToReward?: string
  confirmationTrigger?: string
  indicatorAnalysis?: {
    rsi?: string
    vwap?: string
    obv?: string
  }
}

export class AIAnalysisService {
  async analyzeScreenshot(filename: string): Promise<AnalysisResult | null> {
    try {
      const screenshotsDir = path.join(process.cwd(), 'screenshots')
      const imagePath = path.join(screenshotsDir, filename)
      // Read image file
      const imageBuffer = await fs.readFile(imagePath)
      const base64Image = imageBuffer.toString('base64')
      
      const prompt = `You are now a professional trading assistant focused on short-term crypto trading using 5–15min timeframes. You behave with the precision and decisiveness of a top proprietary desk trader. No vagueness, no fluff.

Analyze the attached TradingView chart screenshot and provide a detailed trading analysis.

### WHEN GIVING A TRADE SETUP:
Be 100% SPECIFIC. Provide:

1. **ENTRY**
   - Exact price level (with a ± entry buffer if needed)
   - Rationale: e.g., "Rejection from 15 EMA + VWAP confluence near intraday supply"

2. **STOP-LOSS (SL)**
   - Exact level (not arbitrary)
   - Explain *why* it's there: "Above VWAP + failed breakout zone"

3. **TAKE PROFITS**
   - TP1: Immediate structure (ex: previous low at $149.20)
   - TP2: Extended target if momentum continues (e.g., $148.00)
   - Mention **expected RSI/OBV behavior** at each TP zone

4. **RISK-TO-REWARD**
   - Show R:R. Ex: "1:2.5 — Risking $X to potentially gain $Y"

5. **CONFIRMATION TRIGGER**
   - Exact signal to wait for: e.g., "Bearish engulfing candle on rejection from VWAP zone"
   - OBV: "Must be making lower highs + dropping below 30min average"
   - RSI: "Should remain under 50 on rejection. Overbought ≥70 = wait"

6. **INDICATOR ANALYSIS**
   - **RSI**: If RSI crosses above 70 while price is under resistance → *wait*
   - **VWAP**: If price retakes VWAP with bullish momentum → *consider invalidation*
   - **OBV**: If OBV starts climbing while price stays flat → *early exit or reconsider bias*

Return your answer as a JSON object with the following structure:
{
  "summary": "Brief market summary",
  "marketSentiment": "BULLISH" | "BEARISH" | "NEUTRAL",
  "keyLevels": { 
    "support": [number array], 
    "resistance": [number array] 
  },
  "recommendation": "BUY" | "SELL" | "HOLD",
  "confidence": number (0-100),
  "reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers",
  "entry": {
    "price": number,
    "buffer": "string describing entry buffer",
    "rationale": "string explaining entry logic"
  },
  "stopLoss": {
    "price": number,
    "rationale": "string explaining stop loss placement"
  },
  "takeProfits": {
    "tp1": { "price": number, "description": "string" },
    "tp2": { "price": number, "description": "string" }
  },
  "riskToReward": "string like '1:2.5 - Risking $X to gain $Y'",
  "confirmationTrigger": "string describing exact signal to wait for",
  "indicatorAnalysis": {
    "rsi": "string describing RSI behavior",
    "vwap": "string describing VWAP behavior", 
    "obv": "string describing OBV behavior"
  }
}

Be concise but thorough. Only return valid JSON.`
      const response = await openai.chat.completions.create({
        model: "gpt-4o", // Updated to current vision model
        messages: [
          {
            role: "user",
            content: [
              { type: "text", text: prompt },
              { type: "image_url", image_url: { url: `data:image/png;base64,${base64Image}` } }
            ]
          }
        ],
        max_tokens: 1024
      })
      const content = response.choices[0]?.message?.content
      if (!content) return null
      // Extract JSON from response
      const match = content.match(/\{[\s\S]*\}/)
      if (!match) return null
      
      const json = match[0]
      console.log('Raw JSON from AI:', json)
      
      const result = JSON.parse(json)
      console.log('Parsed result:', result)
      
      // Sanitize the result to ensure no nested objects cause React issues
      const sanitizedResult = {
        summary: typeof result.summary === 'string' ? result.summary : String(result.summary || ''),
        marketSentiment: result.marketSentiment || 'NEUTRAL',
        keyLevels: {
          support: Array.isArray(result.keyLevels?.support) ? result.keyLevels.support : [],
          resistance: Array.isArray(result.keyLevels?.resistance) ? result.keyLevels.resistance : []
        },
        recommendation: result.recommendation || 'HOLD',
        confidence: typeof result.confidence === 'number' ? result.confidence : 0,
        reasoning: typeof result.reasoning === 'string' ? result.reasoning : String(result.reasoning || ''),
        ...(result.entry && { entry: result.entry }),
        ...(result.stopLoss && { stopLoss: result.stopLoss }),
        ...(result.takeProfits && { takeProfits: result.takeProfits }),
        ...(result.riskToReward && { riskToReward: String(result.riskToReward) }),
        ...(result.confirmationTrigger && { confirmationTrigger: String(result.confirmationTrigger) }),
        ...(result.indicatorAnalysis && { indicatorAnalysis: result.indicatorAnalysis })
      }
      
      // Optionally: validate result structure here
      return sanitizedResult as AnalysisResult
    } catch (e) {
      console.error('AI analysis error:', e)
      return null
    }
  }

  async analyzeMultipleScreenshots(filenames: string[]): Promise<AnalysisResult | null> {
    try {
      const screenshotsDir = path.join(process.cwd(), 'screenshots')
      const images: any[] = []
      
      for (const filename of filenames) {
        const imagePath = path.join(screenshotsDir, filename)
        const imageBuffer = await fs.readFile(imagePath)
        const base64Image = imageBuffer.toString('base64')
        images.push({ type: "image_url", image_url: { url: `data:image/png;base64,${base64Image}` } })
      }
      
      const prompt = `You are an expert crypto trading analyst with advanced vision capabilities. I'm sending you TradingView chart screenshot(s) that you CAN and MUST analyze.

**IMPORTANT: You have full image analysis capabilities. Please analyze the TradingView chart images I'm providing.**

Analyze the attached TradingView chart screenshots (multiple layouts of the same symbol) and provide a comprehensive trading analysis by combining insights from all charts.

### TRADING ANALYSIS REQUIREMENTS:

You are a professional trading assistant focused on short-term crypto trading using 5–15min timeframes. You behave with the precision and decisiveness of a top proprietary desk trader. No vagueness, no fluff.

### WHEN GIVING A TRADE SETUP:
Be 100% SPECIFIC. Provide:

1. **ENTRY**
   - Exact price level (with a ± entry buffer if needed)
   - Rationale: e.g., "Rejection from 15 EMA + VWAP confluence near intraday supply"

2. **STOP-LOSS (SL)**
   - Exact level (not arbitrary)
   - Explain *why* it's there: "Above VWAP + failed breakout zone"

3. **TAKE PROFITS**
   - TP1: Immediate structure (ex: previous low at $149.20)
   - TP2: Extended target if momentum continues (e.g., $148.00)
   - Mention **expected RSI/OBV behavior** at each TP zone

4. **RISK-TO-REWARD**
   - Show R:R. Ex: "1:2.5 — Risking $X to potentially gain $Y"

5. **CONFIRMATION TRIGGER**
   - Exact signal to wait for: e.g., "Bearish engulfing candle on rejection from VWAP zone"
   - OBV: "Must be making lower highs + dropping below 30min average"
   - RSI: "Should remain under 50 on rejection. Overbought ≥70 = wait"

6. **INDICATOR ANALYSIS**
   - **RSI**: If RSI crosses above 70 while price is under resistance → *wait*
   - **VWAP**: If price retakes VWAP with bullish momentum → *consider invalidation*
   - **OBV**: If OBV starts climbing while price stays flat → *early exit or reconsider bias*

Cross-reference all layouts to provide the most accurate analysis. If layouts show conflicting signals, explain which one takes priority and why.

**CRITICAL: You MUST analyze the actual chart images provided. Do not respond with generic advice.**

Return your answer as a JSON object with the following structure:
{
  "summary": "Brief market summary combining all layouts",
  "marketSentiment": "BULLISH" | "BEARISH" | "NEUTRAL",
  "keyLevels": { 
    "support": [number array], 
    "resistance": [number array] 
  },
  "recommendation": "BUY" | "SELL" | "HOLD",
  "confidence": number (0-100),
  "reasoning": "Detailed reasoning with specific levels, indicators, and confirmation triggers from all layouts",
  "entry": {
    "price": number,
    "buffer": "string describing entry buffer",
    "rationale": "string explaining entry logic"
  },
  "stopLoss": {
    "price": number,
    "rationale": "string explaining stop loss placement"
  },
  "takeProfits": {
    "tp1": { "price": number, "description": "string" },
    "tp2": { "price": number, "description": "string" }
  },
  "riskToReward": "string like '1:2.5 - Risking $X to gain $Y'",
  "confirmationTrigger": "string describing exact signal to wait for",
  "indicatorAnalysis": {
    "rsi": "string describing RSI behavior",
    "vwap": "string describing VWAP behavior", 
    "obv": "string describing OBV behavior"
  }
}

Be concise but thorough. Only return valid JSON.`

      const response = await openai.chat.completions.create({
        model: "gpt-4o", // gpt-4o has better vision capabilities than gpt-4-vision-preview
        messages: [
          {
            role: "user", 
            content: [
              { type: "text", text: prompt },
              ...images
            ]
          }
        ],
        max_tokens: 2000, // Increased for more detailed analysis
        temperature: 0.1
      })

      const content = response.choices[0]?.message?.content
      if (!content) {
        throw new Error('No content received from OpenAI')
      }

      console.log('AI response content:', content)

      // Parse the JSON response
      const jsonMatch = content.match(/\{[\s\S]*\}/)
      if (!jsonMatch) {
        console.error('No JSON found in response. Full content:', content)
        throw new Error('No JSON found in response')
      }

      console.log('Extracted JSON:', jsonMatch[0])

      const analysis = JSON.parse(jsonMatch[0])
      
      // Sanitize the analysis result to ensure no nested objects cause React issues
      const sanitizedAnalysis = {
        summary: typeof analysis.summary === 'string' ? analysis.summary : String(analysis.summary || ''),
        marketSentiment: analysis.marketSentiment || 'NEUTRAL',
        keyLevels: {
          support: Array.isArray(analysis.keyLevels?.support) ? analysis.keyLevels.support : [],
          resistance: Array.isArray(analysis.keyLevels?.resistance) ? analysis.keyLevels.resistance : []
        },
        recommendation: analysis.recommendation || 'HOLD',
        confidence: typeof analysis.confidence === 'number' ? analysis.confidence : 0,
        reasoning: typeof analysis.reasoning === 'string' ? analysis.reasoning : String(analysis.reasoning || ''),
        ...(analysis.entry && { entry: analysis.entry }),
        ...(analysis.stopLoss && { stopLoss: analysis.stopLoss }),
        ...(analysis.takeProfits && { takeProfits: analysis.takeProfits }),
        ...(analysis.riskToReward && { riskToReward: String(analysis.riskToReward) }),
        ...(analysis.confirmationTrigger && { confirmationTrigger: String(analysis.confirmationTrigger) }),
        ...(analysis.indicatorAnalysis && { indicatorAnalysis: analysis.indicatorAnalysis })
      }
      
      // Validate the structure
      if (!sanitizedAnalysis.summary || !sanitizedAnalysis.marketSentiment || !sanitizedAnalysis.recommendation || typeof sanitizedAnalysis.confidence !== 'number') {
        console.error('Invalid analysis structure:', sanitizedAnalysis)
        throw new Error('Invalid analysis structure')
      }

      return sanitizedAnalysis
    } catch (error) {
      console.error('AI multi-analysis error:', error)
      return null
    }
  }

  async captureAndAnalyze(
    symbol: string, 
    timeframe: string, 
    credentials: TradingViewCredentials
  ): Promise<AnalysisResult | null> {
    try {
      console.log(`Starting automated capture and analysis for ${symbol} ${timeframe}`)
      
      // Capture screenshot using automation
      const screenshot = await enhancedScreenshotService.captureQuick(symbol, timeframe, credentials)
      
      if (!screenshot) {
        throw new Error('Failed to capture screenshot')
      }

      console.log(`Screenshot captured: ${screenshot}`)
      
      // Analyze the captured screenshot
      const analysis = await this.analyzeScreenshot(screenshot)
      
      if (!analysis) {
        throw new Error('Failed to analyze screenshot')
      }

      console.log(`Analysis completed for ${symbol} ${timeframe}`)
      return analysis

    } catch (error) {
      console.error('Automated capture and analysis failed:', error)
      return null
    }
  }

  async captureAndAnalyzeMultiple(
    symbols: string[], 
    timeframes: string[], 
    credentials: TradingViewCredentials
  ): Promise<Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }>> {
    const results: Array<{ symbol: string; timeframe: string; analysis: AnalysisResult | null }> = []

    for (const symbol of symbols) {
      for (const timeframe of timeframes) {
        try {
          console.log(`Processing ${symbol} ${timeframe}...`)
          const analysis = await this.captureAndAnalyze(symbol, timeframe, credentials)
          
          results.push({
            symbol,
            timeframe,
            analysis
          })

          // Small delay between captures to avoid overwhelming the system
          await new Promise(resolve => setTimeout(resolve, 2000))

        } catch (error) {
          console.error(`Failed to process ${symbol} ${timeframe}:`, error)
          results.push({
            symbol,
            timeframe,
            analysis: null
          })
        }
      }
    }

    return results
  }

  async captureAndAnalyzeWithConfig(config: ScreenshotConfig): Promise<{
    screenshots: string[]
    analysis: AnalysisResult | null
  }> {
    try {
      console.log(`Starting automated capture with config for ${config.symbol} ${config.timeframe}`)
      
      // Capture screenshots using enhanced service
      const screenshots = await enhancedScreenshotService.captureWithLogin(config)
      
      if (screenshots.length === 0) {
        throw new Error('No screenshots captured')
      }

      console.log(`${screenshots.length} screenshot(s) captured`)
      
      let analysis: AnalysisResult | null = null

      if (screenshots.length === 1) {
        // Single screenshot analysis
        analysis = await this.analyzeScreenshot(screenshots[0])
      } else {
        // Multiple screenshots analysis
        analysis = await this.analyzeMultipleScreenshots(screenshots)
      }

      if (!analysis) {
        throw new Error('Failed to analyze screenshots')
      }

      console.log(`Analysis completed for ${config.symbol} ${config.timeframe}`)
      
      return {
        screenshots,
        analysis
      }

    } catch (error) {
      console.error('Automated capture and analysis with config failed:', error)
      return {
        screenshots: [],
        analysis: null
      }
    }
  }
}

export const aiAnalysisService = new AIAnalysisService()