trading_bot_v3/lib/ai-analysis.ts

import OpenAI from 'openai'
import fs from 'fs/promises'
import path from 'path'

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
}

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"
}

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]
      const result = JSON.parse(json)
      // Optionally: validate result structure here
      return result 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 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 screenshots (multiple layouts of the same symbol) and provide a comprehensive trading analysis by combining insights from all charts.

### 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.

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"
}

Be concise but thorough. Only return valid JSON.`

      const response = await openai.chat.completions.create({
        model: "gpt-4o",
        messages: [
          {
            role: "user",
            content: [
              { type: "text", text: prompt },
              ...images
            ]
          }
        ],
        max_tokens: 1500,
        temperature: 0.1
      })

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

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

      const analysis = JSON.parse(jsonMatch[0])
      
      // Validate the structure
      if (!analysis.summary || !analysis.marketSentiment || !analysis.recommendation || !analysis.confidence) {
        throw new Error('Invalid analysis structure')
      }

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

export const aiAnalysisService = new AIAnalysisService()