import { Injectable, Logger, BadRequestException } from '@nestjs/common';
import { ConfigService } from '@nestjs/config';
import { ModelConfigService } from '../model-config/model-config.service';
import { TenantService } from '../tenant/tenant.service';
// import { UserSettingService } from '../user-setting/user-setting.service';

/**
 * Chunk config service
 * Responsible for validating and managing chunk parameters to ensure they conform to model limits and environment variable settings
 *
 * Priority of limits:
 * 1. Environment variables (MAX_CHUNK_SIZE, MAX_OVERLAP_SIZE)
 * 2. Model settings in database (maxInputTokens, maxBatchSize)
 * 3. Default values
 */
import {
  DEFAULT_CHUNK_SIZE,
  MIN_CHUNK_SIZE,
  DEFAULT_CHUNK_OVERLAP,
  MIN_CHUNK_OVERLAP,
  DEFAULT_MAX_OVERLAP_RATIO,
  DEFAULT_MAX_BATCH_SIZE,
  DEFAULT_VECTOR_DIMENSIONS,
} from '../common/constants';
import { I18nService } from '../i18n/i18n.service';

@Injectable()
export class ChunkConfigService {
  private readonly logger = new Logger(ChunkConfigService.name);

  // Default settings
  private readonly DEFAULTS = {
    chunkSize: DEFAULT_CHUNK_SIZE,
    chunkOverlap: DEFAULT_CHUNK_OVERLAP,
    minChunkSize: MIN_CHUNK_SIZE,
    minChunkOverlap: MIN_CHUNK_OVERLAP,
    maxOverlapRatio: DEFAULT_MAX_OVERLAP_RATIO, // Overlap up to 50% of chunk size
    maxBatchSize: DEFAULT_MAX_BATCH_SIZE, // Default batch limit
    expectedDimensions: DEFAULT_VECTOR_DIMENSIONS, // Default vector dimensions
  };

  // Upper limits set by environment variables (used first)
  private readonly envMaxChunkSize: number;
  private readonly envMaxOverlapSize: number;

  constructor(
    private configService: ConfigService,
    private modelConfigService: ModelConfigService,
    private i18nService: I18nService,
    private tenantService: TenantService,
  ) {
    // Load global limit settings from environment variables
    this.envMaxChunkSize = parseInt(
      this.configService.get<string>('MAX_CHUNK_SIZE', '8191'),
    );
    this.envMaxOverlapSize = parseInt(
      this.configService.get<string>('MAX_OVERLAP_SIZE', '2000'),
    );

    this.logger.log(
      `Environment variable limits: MAX_CHUNK_SIZE=${this.envMaxChunkSize}, MAX_OVERLAP_SIZE=${this.envMaxOverlapSize}`,
    );
  }

  /**
   * Get model limit settings (read from database)
   */
  async getModelLimits(
    modelId: string,
    userId: string,
    tenantId?: string,
  ): Promise<{
    maxInputTokens: number;
    maxBatchSize: number;
    expectedDimensions: number;
    providerName: string;
    isVectorModel: boolean;
  }> {
    const modelConfig = await this.modelConfigService.findOne(
      modelId,
      userId,
      tenantId || '',
    );

    if (!modelConfig || modelConfig.type !== 'embedding') {
      throw new BadRequestException(
        this.i18nService.formatMessage('embeddingModelNotFound', {
          id: modelId,
        }),
      );
    }

    // Get limits from database fields and fill with defaults
    const maxInputTokens = modelConfig.maxInputTokens || this.envMaxChunkSize;
    const maxBatchSize = modelConfig.maxBatchSize || this.DEFAULTS.maxBatchSize;
    const expectedDimensions =
      modelConfig.dimensions ||
      parseInt(
        this.configService.get(
          'DEFAULT_VECTOR_DIMENSIONS',
          String(this.DEFAULTS.expectedDimensions),
        ),
      );
    const providerName = modelConfig.providerName || 'unknown';
    const isVectorModel = modelConfig.isVectorModel || false;

    this.logger.log(
      this.i18nService.formatMessage('configLoaded', {
        name: modelConfig.name,
        id: modelConfig.modelId,
      }) +
        '\n' +
        `  - Provider: ${providerName}\n` +
        `  - Token limit: ${maxInputTokens}\n` +
        `  - Batch limit: ${maxBatchSize}\n` +
        `  - Vector dimensions: ${expectedDimensions}\n` +
        `  - Is vector model: ${isVectorModel}`,
    );

    return {
      maxInputTokens,
      maxBatchSize,
      expectedDimensions,
      providerName,
      isVectorModel,
    };
  }

  /**
   * Validate and fix chunk config
   * Priority: Environment variable limits > Model limits > User settings
   */
  async validateChunkConfig(
    chunkSize: number,
    chunkOverlap: number,
    modelId: string,
    userId: string,
    tenantId?: string,
  ): Promise<{
    chunkSize: number;
    chunkOverlap: number;
    warnings: string[];
    effectiveMaxChunkSize: number;
    effectiveMaxOverlapSize: number;
  }> {
    const warnings: string[] = [];
    const limits = await this.getModelLimits(modelId, userId, tenantId);

    // 1. Calculate final limits (choose smaller of env var and model limit)
    const effectiveMaxChunkSize = Math.min(
      this.envMaxChunkSize,
      limits.maxInputTokens,
    );

    const effectiveMaxOverlapSize = Math.min(
      this.envMaxOverlapSize,
      Math.floor(effectiveMaxChunkSize * this.DEFAULTS.maxOverlapRatio),
    );

    // 2. Validate chunk size upper limit
    if (chunkSize > effectiveMaxChunkSize) {
      const reason =
        this.envMaxChunkSize < limits.maxInputTokens
          ? `${this.i18nService.getMessage('environmentLimit')} ${this.envMaxChunkSize}`
          : `${this.i18nService.getMessage('modelLimit')} ${limits.maxInputTokens}`;

      warnings.push(
        this.i18nService.formatMessage('chunkOverflow', {
          size: chunkSize,
          max: effectiveMaxChunkSize,
          reason,
        }),
      );
      chunkSize = effectiveMaxChunkSize;
    }

    // 3. Validate chunk size lower limit
    if (chunkSize < this.DEFAULTS.minChunkSize) {
      warnings.push(
        this.i18nService.formatMessage('chunkUnderflow', {
          size: chunkSize,
          min: this.DEFAULTS.minChunkSize,
        }),
      );
      chunkSize = this.DEFAULTS.minChunkSize;
    }

    // 4. Validate overlap size upper limit (env var first)
    if (chunkOverlap > effectiveMaxOverlapSize) {
      warnings.push(
        this.i18nService.formatMessage('overlapOverflow', {
          size: chunkOverlap,
          max: effectiveMaxOverlapSize,
        }),
      );
      chunkOverlap = effectiveMaxOverlapSize;
    }

    // 5. Validate overlap doesn't exceed 50% of chunk size
    const maxOverlapByRatio = Math.floor(
      chunkSize * this.DEFAULTS.maxOverlapRatio,
    );
    if (chunkOverlap > maxOverlapByRatio) {
      warnings.push(
        this.i18nService.formatMessage('overlapRatioExceeded', {
          size: chunkOverlap,
          max: maxOverlapByRatio,
        }),
      );
      chunkOverlap = maxOverlapByRatio;
    }

    if (chunkOverlap < this.DEFAULTS.minChunkOverlap) {
      warnings.push(
        this.i18nService.formatMessage('overlapUnderflow', {
          size: chunkOverlap,
          min: this.DEFAULTS.minChunkOverlap,
        }),
      );
      chunkOverlap = this.DEFAULTS.minChunkOverlap;
    }

    // 6. Add safety check for batch processing
    // During batch processing, ensure total length of multiple texts doesn't exceed model limits
    const safetyMargin = 0.8; // 80% safety margin to leave space for batch processing
    const safeChunkSize = Math.floor(effectiveMaxChunkSize * safetyMargin);

    if (chunkSize > safeChunkSize) {
      warnings.push(
        this.i18nService.formatMessage('batchOverflowWarning', {
          safeSize: safeChunkSize,
          size: chunkSize,
          percent: Math.round(safetyMargin * 100),
        }),
      );
    }

    // 7. Check if estimated chunk count is reasonable
    const estimatedChunkCount = this.estimateChunkCount(
      1000000, // Assume 1MB text
      chunkSize,
    );

    if (estimatedChunkCount > 50000) {
      warnings.push(
        this.i18nService.formatMessage('estimatedChunkCountExcessive', {
          count: estimatedChunkCount,
        }),
      );
    }

    return {
      chunkSize,
      chunkOverlap,
      warnings,
      effectiveMaxChunkSize,
      effectiveMaxOverlapSize,
    };
  }

  /**
   * Get recommended batch size
   */
  async getRecommendedBatchSize(
    modelId: string,
    userId: string,
    tenantId?: string,
    currentBatchSize: number = 100,
  ): Promise<number> {
    const limits = await this.getModelLimits(modelId, userId, tenantId);

    // Choose smaller of configured value and model limit
    const recommended = Math.min(
      currentBatchSize,
      limits.maxBatchSize,
      200, // Safety upper limit
    );

    if (recommended < currentBatchSize) {
      this.logger.warn(
        this.i18nService.formatMessage('batchSizeAdjusted', {
          old: currentBatchSize,
          new: recommended,
          limit: limits.maxBatchSize,
        }),
      );
    }

    return Math.max(10, recommended); // Minimum 10
  }

  /**
   * Estimate chunk count
   */
  estimateChunkCount(textLength: number, chunkSize: number): number {
    const chunkSizeInChars = chunkSize * 4; // 1 token ≈ 4 chars
    return Math.ceil(textLength / chunkSizeInChars);
  }

  /**
   * Validate vector dimensions
   */
  async validateDimensions(
    modelId: string,
    userId: string,
    actualDimensions: number,
    tenantId?: string,
  ): Promise<boolean> {
    const limits = await this.getModelLimits(modelId, userId, tenantId);

    if (actualDimensions !== limits.expectedDimensions) {
      this.logger.warn(
        this.i18nService.formatMessage('dimensionMismatch', {
          id: modelId,
          expected: limits.expectedDimensions,
          actual: actualDimensions,
        }),
      );
      return false;
    }

    return true;
  }

  /**
   * Get config summary (for logging)
   */
  async getConfigSummary(
    chunkSize: number,
    chunkOverlap: number,
    modelId: string,
    userId: string,
    tenantId?: string,
  ): Promise<string> {
    const limits = await this.getModelLimits(modelId, userId, tenantId);

    return [
      `Model: ${modelId}`,
      `Chunk size: ${chunkSize} tokens (limit: ${limits.maxInputTokens})`,
      `Overlap size: ${chunkOverlap} tokens`,
      `Batch size: ${limits.maxBatchSize}`,
      `Vector dimensions: ${limits.expectedDimensions}`,
    ].join(', ');
  }

  /**
   * Get config limits for frontend
   * Used for frontend slider max value settings
   */
  async getFrontendLimits(
    modelId: string,
    userId: string,
    tenantId?: string,
  ): Promise<{
    maxChunkSize: number;
    maxOverlapSize: number;
    minOverlapSize: number;
    defaultChunkSize: number;
    defaultOverlapSize: number;
    modelInfo: {
      name: string;
      maxInputTokens: number;
      maxBatchSize: number;
      expectedDimensions: number;
    };
  }> {
    const limits = await this.getModelLimits(modelId, userId, tenantId);

    // Calculate final limits (choose smaller of env var and model limit)
    const maxChunkSize = Math.min(this.envMaxChunkSize, limits.maxInputTokens);
    const maxOverlapSize = Math.min(
      this.envMaxOverlapSize,
      Math.floor(maxChunkSize * this.DEFAULTS.maxOverlapRatio),
    );

    // Get model config name
    const modelConfig = await this.modelConfigService.findOne(
      modelId,
      userId,
      tenantId || '',
    );
    const modelName = modelConfig?.name || 'Unknown';

    // Get defaults from tenant or user settings
    let defaultChunkSize = this.DEFAULTS.chunkSize;
    let defaultOverlapSize = this.DEFAULTS.chunkOverlap;

    if (tenantId) {
      const tenantSettings = await this.tenantService.getSettings(tenantId);
      if (tenantSettings?.chunkSize)
        defaultChunkSize = tenantSettings.chunkSize;
      if (tenantSettings?.chunkOverlap)
        defaultOverlapSize = tenantSettings.chunkOverlap;
    }

    return {
      maxChunkSize,
      maxOverlapSize,
      minOverlapSize: this.DEFAULTS.minChunkOverlap,
      defaultChunkSize: Math.min(defaultChunkSize, maxChunkSize),
      defaultOverlapSize: Math.max(
        this.DEFAULTS.minChunkOverlap,
        Math.min(defaultOverlapSize, maxOverlapSize),
      ),
      modelInfo: {
        name: modelName,
        maxInputTokens: limits.maxInputTokens,
        maxBatchSize: limits.maxBatchSize,
        expectedDimensions: limits.expectedDimensions,
      },
    };
  }
}