import { createLogger } from '@sim/logger'
import { toError } from '@sim/utils/errors'
import { Groq } from 'groq-sdk'
import type { StreamingExecution } from '@/executor/types'
import { MAX_TOOL_ITERATIONS } from '@/providers'
import { createReadableStreamFromGroqStream } from '@/providers/groq/utils'
import { getProviderDefaultModel, getProviderModels } from '@/providers/models'
import { enrichLastModelSegmentFromChatCompletions } from '@/providers/trace-enrichment'
import type {
  ProviderConfig,
  ProviderRequest,
  ProviderResponse,
  TimeSegment,
} from '@/providers/types'
import { ProviderError } from '@/providers/types'
import {
  calculateCost,
  prepareToolExecution,
  prepareToolsWithUsageControl,
  sumToolCosts,
  trackForcedToolUsage,
} from '@/providers/utils'
import { executeTool } from '@/tools'

const logger = createLogger('GroqProvider')

export const groqProvider: ProviderConfig = {
  id: 'groq',
  name: 'Groq',
  description: "Groq's LLM models with high-performance inference",
  version: '1.0.0',
  models: getProviderModels('groq'),
  defaultModel: getProviderDefaultModel('groq'),

  executeRequest: async (
    request: ProviderRequest
  ): Promise<ProviderResponse | StreamingExecution> => {
    if (!request.apiKey) {
      throw new Error('API key is required for Groq')
    }

    const groq = new Groq({ apiKey: request.apiKey })

    const allMessages = []

    if (request.systemPrompt) {
      allMessages.push({
        role: 'system',
        content: request.systemPrompt,
      })
    }

    if (request.context) {
      allMessages.push({
        role: 'user',
        content: request.context,
      })
    }

    if (request.messages) {
      allMessages.push(...request.messages)
    }

    const tools = request.tools?.length
      ? request.tools.map((tool) => ({
          type: 'function',
          function: {
            name: tool.id,
            description: tool.description,
            parameters: tool.parameters,
          },
        }))
      : undefined

    const payload: any = {
      model: request.model.replace('groq/', ''),
      messages: allMessages,
    }

    if (request.temperature !== undefined) payload.temperature = request.temperature
    if (request.maxTokens != null) payload.max_completion_tokens = request.maxTokens

    if (request.responseFormat) {
      payload.response_format = {
        type: 'json_schema',
        json_schema: {
          name: request.responseFormat.name || 'response_schema',
          schema: request.responseFormat.schema || request.responseFormat,
          strict: request.responseFormat.strict !== false,
        },
      }
    }

    let originalToolChoice: any
    let forcedTools: string[] = []
    let hasFilteredTools = false

    if (tools?.length) {
      const preparedTools = prepareToolsWithUsageControl(tools, request.tools, logger, 'openai')

      if (preparedTools.tools?.length) {
        payload.tools = preparedTools.tools
        payload.tool_choice = preparedTools.toolChoice || 'auto'
        originalToolChoice = preparedTools.toolChoice
        forcedTools = preparedTools.forcedTools || []
        hasFilteredTools = preparedTools.hasFilteredTools

        logger.info('Groq request configuration:', {
          toolCount: preparedTools.tools.length,
          toolChoice: payload.tool_choice,
          forcedToolsCount: forcedTools.length,
          hasFilteredTools,
          model: request.model,
        })
      }
    }

    if (request.stream && (!tools || tools.length === 0)) {
      logger.info('Using streaming response for Groq request (no tools)')

      const providerStartTime = Date.now()
      const providerStartTimeISO = new Date(providerStartTime).toISOString()

      const streamResponse = await groq.chat.completions.create(
        {
          ...payload,
          stream: true,
        },
        request.abortSignal ? { signal: request.abortSignal } : undefined
      )

      const streamingResult = {
        stream: createReadableStreamFromGroqStream(streamResponse as any, (content, usage) => {
          streamingResult.execution.output.content = content
          streamingResult.execution.output.tokens = {
            input: usage.prompt_tokens,
            output: usage.completion_tokens,
            total: usage.total_tokens,
          }

          const costResult = calculateCost(
            request.model,
            usage.prompt_tokens,
            usage.completion_tokens
          )
          streamingResult.execution.output.cost = {
            input: costResult.input,
            output: costResult.output,
            total: costResult.total,
          }
        }),
        execution: {
          success: true,
          output: {
            content: '',
            model: request.model,
            tokens: { input: 0, output: 0, total: 0 },
            toolCalls: undefined,
            providerTiming: {
              startTime: providerStartTimeISO,
              endTime: new Date().toISOString(),
              duration: Date.now() - providerStartTime,
              timeSegments: [
                {
                  type: 'model',
                  name: request.model,
                  startTime: providerStartTime,
                  endTime: Date.now(),
                  duration: Date.now() - providerStartTime,
                },
              ],
            },
            cost: { input: 0, output: 0, total: 0 },
          },
          logs: [],
          metadata: {
            startTime: providerStartTimeISO,
            endTime: new Date().toISOString(),
            duration: Date.now() - providerStartTime,
          },
          isStreaming: true,
        },
      }

      return streamingResult as StreamingExecution
    }

    const providerStartTime = Date.now()
    const providerStartTimeISO = new Date(providerStartTime).toISOString()

    try {
      const initialCallTime = Date.now()

      let currentResponse = await groq.chat.completions.create(
        payload,
        request.abortSignal ? { signal: request.abortSignal } : undefined
      )
      const firstResponseTime = Date.now() - initialCallTime

      let content = currentResponse.choices[0]?.message?.content || ''
      const tokens = {
        input: currentResponse.usage?.prompt_tokens || 0,
        output: currentResponse.usage?.completion_tokens || 0,
        total: currentResponse.usage?.total_tokens || 0,
      }
      const toolCalls = []
      const toolResults: Record<string, unknown>[] = []
      const currentMessages = [...allMessages]
      let iterationCount = 0
      let modelTime = firstResponseTime
      let toolsTime = 0

      const timeSegments: TimeSegment[] = [
        {
          type: 'model',
          name: request.model,
          startTime: initialCallTime,
          endTime: initialCallTime + firstResponseTime,
          duration: firstResponseTime,
        },
      ]

      try {
        while (iterationCount < MAX_TOOL_ITERATIONS) {
          if (currentResponse.choices[0]?.message?.content) {
            content = currentResponse.choices[0].message.content
          }

          const toolCallsInResponse = currentResponse.choices[0]?.message?.tool_calls

          enrichLastModelSegmentFromChatCompletions(
            timeSegments,
            currentResponse,
            toolCallsInResponse,
            { model: request.model, provider: 'groq' }
          )

          if (!toolCallsInResponse || toolCallsInResponse.length === 0) {
            break
          }

          const toolsStartTime = Date.now()

          const toolExecutionPromises = toolCallsInResponse.map(async (toolCall) => {
            const toolCallStartTime = Date.now()
            const toolName = toolCall.function.name

            try {
              const toolArgs = JSON.parse(toolCall.function.arguments)
              const tool = request.tools?.find((t) => t.id === toolName)

              if (!tool) return null

              const { toolParams, executionParams } = prepareToolExecution(tool, toolArgs, request)
              const result = await executeTool(toolName, executionParams)
              const toolCallEndTime = Date.now()

              return {
                toolCall,
                toolName,
                toolParams,
                result,
                startTime: toolCallStartTime,
                endTime: toolCallEndTime,
                duration: toolCallEndTime - toolCallStartTime,
              }
            } catch (error) {
              const toolCallEndTime = Date.now()
              logger.error('Error processing tool call:', { error, toolName })

              return {
                toolCall,
                toolName,
                toolParams: {},
                result: {
                  success: false,
                  output: undefined,
                  error: error instanceof Error ? error.message : 'Tool execution failed',
                },
                startTime: toolCallStartTime,
                endTime: toolCallEndTime,
                duration: toolCallEndTime - toolCallStartTime,
              }
            }
          })

          const executionResults = await Promise.allSettled(toolExecutionPromises)

          currentMessages.push({
            role: 'assistant',
            content: null,
            tool_calls: toolCallsInResponse.map((tc) => ({
              id: tc.id,
              type: 'function',
              function: {
                name: tc.function.name,
                arguments: tc.function.arguments,
              },
            })),
          })

          for (const settledResult of executionResults) {
            if (settledResult.status === 'rejected' || !settledResult.value) continue

            const { toolCall, toolName, toolParams, result, startTime, endTime, duration } =
              settledResult.value

            timeSegments.push({
              type: 'tool',
              name: toolName,
              startTime: startTime,
              endTime: endTime,
              duration: duration,
              toolCallId: toolCall.id,
            })

            let resultContent: any
            if (result.success && result.output) {
              toolResults.push(result.output)
              resultContent = result.output
            } else {
              resultContent = {
                error: true,
                message: result.error || 'Tool execution failed',
                tool: toolName,
              }
            }

            toolCalls.push({
              name: toolName,
              arguments: toolParams,
              startTime: new Date(startTime).toISOString(),
              endTime: new Date(endTime).toISOString(),
              duration: duration,
              result: resultContent,
              success: result.success,
            })

            currentMessages.push({
              role: 'tool',
              tool_call_id: toolCall.id,
              name: toolName,
              content: JSON.stringify(resultContent),
            })
          }

          const thisToolsTime = Date.now() - toolsStartTime
          toolsTime += thisToolsTime

          let usedForcedTools: string[] = []
          if (typeof originalToolChoice === 'object' && forcedTools.length > 0) {
            const toolTracking = trackForcedToolUsage(
              currentResponse.choices[0]?.message?.tool_calls,
              originalToolChoice,
              logger,
              'openai',
              forcedTools,
              usedForcedTools
            )
            usedForcedTools = toolTracking.usedForcedTools
            const nextToolChoice = toolTracking.nextToolChoice

            if (nextToolChoice && typeof nextToolChoice === 'object') {
              payload.tool_choice = nextToolChoice
            } else if (nextToolChoice === 'auto' || !nextToolChoice) {
              payload.tool_choice = 'auto'
            }
          }

          const nextPayload = {
            ...payload,
            messages: currentMessages,
          }

          const nextModelStartTime = Date.now()
          currentResponse = await groq.chat.completions.create(
            nextPayload,
            request.abortSignal ? { signal: request.abortSignal } : undefined
          )

          const nextModelEndTime = Date.now()
          const thisModelTime = nextModelEndTime - nextModelStartTime

          timeSegments.push({
            type: 'model',
            name: request.model,
            startTime: nextModelStartTime,
            endTime: nextModelEndTime,
            duration: thisModelTime,
          })

          modelTime += thisModelTime

          if (currentResponse.choices[0]?.message?.content) {
            content = currentResponse.choices[0].message.content
          }

          if (currentResponse.usage) {
            tokens.input += currentResponse.usage.prompt_tokens || 0
            tokens.output += currentResponse.usage.completion_tokens || 0
            tokens.total += currentResponse.usage.total_tokens || 0
          }

          iterationCount++
        }

        if (iterationCount === MAX_TOOL_ITERATIONS) {
          enrichLastModelSegmentFromChatCompletions(
            timeSegments,
            currentResponse,
            currentResponse.choices[0]?.message?.tool_calls,
            { model: request.model, provider: 'groq' }
          )
        }
      } catch (error) {
        logger.error('Error in Groq request:', { error })
      }

      if (request.stream) {
        logger.info('Using streaming for final Groq response after tool processing')

        const streamingPayload = {
          ...payload,
          messages: currentMessages,
          tool_choice: originalToolChoice || 'auto',
          stream: true,
        }

        const streamResponse = await groq.chat.completions.create(
          streamingPayload,
          request.abortSignal ? { signal: request.abortSignal } : undefined
        )

        const accumulatedCost = calculateCost(request.model, tokens.input, tokens.output)

        const streamingResult = {
          stream: createReadableStreamFromGroqStream(streamResponse as any, (content, usage) => {
            streamingResult.execution.output.content = content
            streamingResult.execution.output.tokens = {
              input: tokens.input + usage.prompt_tokens,
              output: tokens.output + usage.completion_tokens,
              total: tokens.total + usage.total_tokens,
            }

            const streamCost = calculateCost(
              request.model,
              usage.prompt_tokens,
              usage.completion_tokens
            )
            const tc = sumToolCosts(toolResults)
            streamingResult.execution.output.cost = {
              input: accumulatedCost.input + streamCost.input,
              output: accumulatedCost.output + streamCost.output,
              toolCost: tc || undefined,
              total: accumulatedCost.total + streamCost.total + tc,
            }
          }),
          execution: {
            success: true,
            output: {
              content: '',
              model: request.model,
              tokens: {
                input: tokens.input,
                output: tokens.output,
                total: tokens.total,
              },
              toolCalls:
                toolCalls.length > 0
                  ? {
                      list: toolCalls,
                      count: toolCalls.length,
                    }
                  : undefined,
              providerTiming: {
                startTime: providerStartTimeISO,
                endTime: new Date().toISOString(),
                duration: Date.now() - providerStartTime,
                modelTime: modelTime,
                toolsTime: toolsTime,
                firstResponseTime: firstResponseTime,
                iterations: iterationCount + 1,
                timeSegments: timeSegments,
              },
              cost: {
                input: accumulatedCost.input,
                output: accumulatedCost.output,
                toolCost: undefined as number | undefined,
                total: accumulatedCost.total,
              },
            },
            logs: [],
            metadata: {
              startTime: providerStartTimeISO,
              endTime: new Date().toISOString(),
              duration: Date.now() - providerStartTime,
            },
            isStreaming: true,
          },
        }

        return streamingResult as StreamingExecution
      }

      const providerEndTime = Date.now()
      const providerEndTimeISO = new Date(providerEndTime).toISOString()
      const totalDuration = providerEndTime - providerStartTime

      return {
        content,
        model: request.model,
        tokens,
        toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
        toolResults: toolResults.length > 0 ? toolResults : undefined,
        timing: {
          startTime: providerStartTimeISO,
          endTime: providerEndTimeISO,
          duration: totalDuration,
          modelTime: modelTime,
          toolsTime: toolsTime,
          firstResponseTime: firstResponseTime,
          iterations: iterationCount + 1,
          timeSegments: timeSegments,
        },
      }
    } catch (error) {
      const providerEndTime = Date.now()
      const providerEndTimeISO = new Date(providerEndTime).toISOString()
      const totalDuration = providerEndTime - providerStartTime

      logger.error('Error in Groq request:', {
        error,
        duration: totalDuration,
      })

      throw new ProviderError(toError(error).message, {
        startTime: providerStartTimeISO,
        endTime: providerEndTimeISO,
        duration: totalDuration,
      })
    }
  },
}
