import { logger } from "@infra/logger";
import { getRequestId } from "@infra/request-context";
import type { JobChatMessage, JobChatRun } from "@shared/types";
import {
  badRequest,
  conflict,
  notFound,
  requestTimeout,
  upstreamError,
} from "../infra/errors";
import * as jobChatRepo from "../repositories/ghostwriter";
import * as settingsRepo from "../repositories/settings";
import { buildJobChatPromptContext } from "./ghostwriter-context";
import { LlmService } from "./llm/service";
import type { JsonSchemaDefinition } from "./llm/types";

type LlmRuntimeSettings = {
  model: string;
  provider: string | null;
  baseUrl: string | null;
  apiKey: string | null;
};

const abortControllers = new Map<string, AbortController>();

const CHAT_RESPONSE_SCHEMA: JsonSchemaDefinition = {
  name: "job_chat_response",
  schema: {
    type: "object",
    properties: {
      response: {
        type: "string",
      },
    },
    required: ["response"],
    additionalProperties: false,
  },
};

function estimateTokenCount(value: string): number {
  if (!value) return 0;
  return Math.ceil(value.length / 4);
}

function chunkText(value: string, maxChunk = 60): string[] {
  if (!value) return [];
  const chunks: string[] = [];
  let cursor = 0;
  while (cursor < value.length) {
    chunks.push(value.slice(cursor, cursor + maxChunk));
    cursor += maxChunk;
  }
  return chunks;
}

function isRunningRunUniqueConstraintError(error: unknown): boolean {
  const message = error instanceof Error ? error.message : String(error);
  return (
    message.includes("idx_job_chat_runs_thread_running_unique") ||
    message.includes("UNIQUE constraint failed: job_chat_runs.thread_id")
  );
}

async function resolveLlmRuntimeSettings(): Promise<LlmRuntimeSettings> {
  const overrides = await settingsRepo.getAllSettings();

  const model =
    overrides.modelTailoring ||
    overrides.model ||
    process.env.MODEL ||
    "google/gemini-3-flash-preview";

  const provider =
    overrides.llmProvider || process.env.LLM_PROVIDER || "openrouter";

  const baseUrl = overrides.llmBaseUrl || process.env.LLM_BASE_URL || null;

  const apiKey = overrides.llmApiKey || process.env.LLM_API_KEY || null;

  return {
    model,
    provider,
    baseUrl,
    apiKey,
  };
}

async function buildConversationMessages(
  threadId: string,
): Promise<Array<{ role: "user" | "assistant"; content: string }>> {
  const messages = await jobChatRepo.listMessagesForThread(threadId, {
    limit: 40,
  });

  return messages
    .filter(
      (message): message is typeof message & { role: "user" | "assistant" } =>
        message.role === "user" || message.role === "assistant",
    )
    .filter((message) => message.status !== "failed")
    .map((message) => ({
      role: message.role,
      content: message.content,
    }));
}

type GenerateReplyOptions = {
  jobId: string;
  threadId: string;
  prompt: string;
  replaceMessageId?: string;
  version?: number;
  stream?: {
    onReady: (payload: {
      runId: string;
      threadId: string;
      messageId: string;
      requestId: string;
    }) => void;
    onDelta: (payload: {
      runId: string;
      messageId: string;
      delta: string;
    }) => void;
    onCompleted: (payload: {
      runId: string;
      message: Awaited<ReturnType<typeof jobChatRepo.getMessageById>>;
    }) => void;
    onCancelled: (payload: {
      runId: string;
      message: Awaited<ReturnType<typeof jobChatRepo.getMessageById>>;
    }) => void;
    onError: (payload: {
      runId: string;
      code: string;
      message: string;
      requestId: string;
    }) => void;
  };
};

async function ensureJobThread(jobId: string, title?: string | null) {
  return jobChatRepo.getOrCreateThreadForJob({
    jobId,
    title: title ?? null,
  });
}

export async function createThread(input: {
  jobId: string;
  title?: string | null;
}) {
  return ensureJobThread(input.jobId, input.title);
}

export async function listThreads(jobId: string) {
  const thread = await ensureJobThread(jobId);
  return [thread];
}

export async function listMessages(input: {
  jobId: string;
  threadId: string;
  limit?: number;
  offset?: number;
}) {
  const thread = await jobChatRepo.getThreadForJob(input.jobId, input.threadId);
  if (!thread) {
    throw notFound("Thread not found for this job");
  }

  return jobChatRepo.listMessagesForThread(input.threadId, {
    limit: input.limit,
    offset: input.offset,
  });
}

export async function listMessagesForJob(input: {
  jobId: string;
  limit?: number;
  offset?: number;
}) {
  const thread = await ensureJobThread(input.jobId);
  return jobChatRepo.listMessagesForThread(thread.id, {
    limit: input.limit,
    offset: input.offset,
  });
}

async function runAssistantReply(
  options: GenerateReplyOptions,
): Promise<{ runId: string; messageId: string; message: string }> {
  const thread = await jobChatRepo.getThreadForJob(
    options.jobId,
    options.threadId,
  );
  if (!thread) {
    throw notFound("Thread not found for this job");
  }

  const activeRun = await jobChatRepo.getActiveRunForThread(options.threadId);
  if (activeRun) {
    throw conflict("A chat generation is already running for this thread");
  }

  const [context, llmConfig, history] = await Promise.all([
    buildJobChatPromptContext(options.jobId),
    resolveLlmRuntimeSettings(),
    buildConversationMessages(options.threadId),
  ]);

  const requestId = getRequestId() ?? "unknown";

  let run: JobChatRun;
  try {
    run = await jobChatRepo.createRun({
      threadId: options.threadId,
      jobId: options.jobId,
      model: llmConfig.model,
      provider: llmConfig.provider,
      requestId,
    });
  } catch (error) {
    if (isRunningRunUniqueConstraintError(error)) {
      throw conflict("A chat generation is already running for this thread");
    }
    throw error;
  }

  let assistantMessage: JobChatMessage;
  try {
    assistantMessage = await jobChatRepo.createMessage({
      threadId: options.threadId,
      jobId: options.jobId,
      role: "assistant",
      content: "",
      status: "partial",
      version: options.version ?? 1,
      replacesMessageId: options.replaceMessageId ?? null,
    });
  } catch (error) {
    await jobChatRepo.completeRun(run.id, {
      status: "failed",
      errorCode: "INTERNAL_ERROR",
      errorMessage: "Failed to create assistant message",
    });
    throw error;
  }

  const controller = new AbortController();
  abortControllers.set(run.id, controller);
  options.stream?.onReady({
    runId: run.id,
    threadId: options.threadId,
    messageId: assistantMessage.id,
    requestId,
  });

  let accumulated = "";

  try {
    const llm = new LlmService({
      provider: llmConfig.provider,
      baseUrl: llmConfig.baseUrl,
      apiKey: llmConfig.apiKey,
    });

    const llmResult = await llm.callJson<{ response: string }>({
      model: llmConfig.model,
      messages: [
        {
          role: "system",
          content: context.systemPrompt,
        },
        {
          role: "system",
          content: `Job Context (JSON):\n${context.jobSnapshot}`,
        },
        {
          role: "system",
          content: `Profile Context:\n${context.profileSnapshot || "No profile context available."}`,
        },
        ...history,
        {
          role: "user",
          content: options.prompt,
        },
      ],
      jsonSchema: CHAT_RESPONSE_SCHEMA,
      maxRetries: 1,
      retryDelayMs: 300,
      jobId: options.jobId,
      signal: controller.signal,
    });

    if (!llmResult.success) {
      if (controller.signal.aborted) {
        throw requestTimeout("Chat generation was cancelled");
      }
      throw upstreamError("LLM generation failed", {
        reason: llmResult.error,
      });
    }

    const finalText = (llmResult.data.response || "").trim();
    const chunks = chunkText(finalText);

    for (const chunk of chunks) {
      if (controller.signal.aborted) {
        const cancelled = await jobChatRepo.updateMessage(assistantMessage.id, {
          content: accumulated,
          status: "cancelled",
          tokensIn: estimateTokenCount(options.prompt),
          tokensOut: estimateTokenCount(accumulated),
        });
        await jobChatRepo.completeRun(run.id, {
          status: "cancelled",
          errorCode: "REQUEST_TIMEOUT",
          errorMessage: "Generation cancelled by user",
        });
        options.stream?.onCancelled({ runId: run.id, message: cancelled });
        return {
          runId: run.id,
          messageId: assistantMessage.id,
          message: accumulated,
        };
      }

      accumulated += chunk;
      options.stream?.onDelta({
        runId: run.id,
        messageId: assistantMessage.id,
        delta: chunk,
      });
    }

    const completedMessage = await jobChatRepo.updateMessage(
      assistantMessage.id,
      {
        content: accumulated,
        status: "complete",
        tokensIn: estimateTokenCount(options.prompt),
        tokensOut: estimateTokenCount(accumulated),
      },
    );

    const runAfterComplete = await jobChatRepo.completeRunIfRunning(run.id, {
      status: "completed",
    });

    if (!runAfterComplete || runAfterComplete.status !== "completed") {
      if (runAfterComplete?.status === "cancelled") {
        const cancelledMessage = await jobChatRepo.updateMessage(
          assistantMessage.id,
          {
            content: accumulated,
            status: "cancelled",
            tokensIn: estimateTokenCount(options.prompt),
            tokensOut: estimateTokenCount(accumulated),
          },
        );
        options.stream?.onCancelled({
          runId: run.id,
          message: cancelledMessage,
        });
      }
      return {
        runId: run.id,
        messageId: assistantMessage.id,
        message: accumulated,
      };
    }

    options.stream?.onCompleted({
      runId: run.id,
      message: completedMessage,
    });

    return {
      runId: run.id,
      messageId: assistantMessage.id,
      message: accumulated,
    };
  } catch (error) {
    const appError = error instanceof Error ? error : new Error(String(error));
    const isCancelled =
      controller.signal.aborted || appError.name === "AbortError";
    const status = isCancelled ? "cancelled" : "failed";
    const code = isCancelled ? "REQUEST_TIMEOUT" : "UPSTREAM_ERROR";
    const message = isCancelled
      ? "Generation cancelled by user"
      : appError.message || "Generation failed";

    const failedMessage = await jobChatRepo.updateMessage(assistantMessage.id, {
      content: accumulated,
      status: isCancelled ? "cancelled" : "failed",
      tokensIn: estimateTokenCount(options.prompt),
      tokensOut: estimateTokenCount(accumulated),
    });

    await jobChatRepo.completeRun(run.id, {
      status,
      errorCode: code,
      errorMessage: message,
    });

    if (isCancelled) {
      options.stream?.onCancelled({ runId: run.id, message: failedMessage });
      return {
        runId: run.id,
        messageId: assistantMessage.id,
        message: accumulated,
      };
    }

    options.stream?.onError({
      runId: run.id,
      code,
      message,
      requestId,
    });

    throw upstreamError(message, { runId: run.id });
  } finally {
    abortControllers.delete(run.id);
    logger.info("Job chat run finished", {
      jobId: options.jobId,
      threadId: options.threadId,
      runId: run.id,
    });
  }
}

export async function sendMessage(input: {
  jobId: string;
  threadId: string;
  content: string;
  stream?: GenerateReplyOptions["stream"];
}) {
  const content = input.content.trim();
  if (!content) {
    throw badRequest("Message content is required");
  }

  const thread = await jobChatRepo.getThreadForJob(input.jobId, input.threadId);
  if (!thread) {
    throw notFound("Thread not found for this job");
  }

  const userMessage = await jobChatRepo.createMessage({
    threadId: input.threadId,
    jobId: input.jobId,
    role: "user",
    content,
    status: "complete",
    tokensIn: estimateTokenCount(content),
    tokensOut: null,
  });

  const result = await runAssistantReply({
    jobId: input.jobId,
    threadId: input.threadId,
    prompt: content,
    stream: input.stream,
  });

  const assistantMessage = await jobChatRepo.getMessageById(result.messageId);
  return {
    userMessage,
    assistantMessage,
    runId: result.runId,
  };
}

export async function sendMessageForJob(input: {
  jobId: string;
  content: string;
  stream?: GenerateReplyOptions["stream"];
}) {
  const thread = await ensureJobThread(input.jobId);
  return sendMessage({
    jobId: input.jobId,
    threadId: thread.id,
    content: input.content,
    stream: input.stream,
  });
}

export async function regenerateMessage(input: {
  jobId: string;
  threadId: string;
  assistantMessageId: string;
  stream?: GenerateReplyOptions["stream"];
}) {
  const thread = await jobChatRepo.getThreadForJob(input.jobId, input.threadId);
  if (!thread) {
    throw notFound("Thread not found for this job");
  }

  const target = await jobChatRepo.getMessageById(input.assistantMessageId);
  if (
    !target ||
    target.threadId !== input.threadId ||
    target.jobId !== input.jobId
  ) {
    throw notFound("Assistant message not found for this thread");
  }

  if (target.role !== "assistant") {
    throw badRequest("Only assistant messages can be regenerated");
  }

  const latestAssistant = await jobChatRepo.getLatestAssistantMessage(
    input.threadId,
  );
  if (!latestAssistant || latestAssistant.id !== target.id) {
    throw badRequest("Only the latest assistant message can be regenerated");
  }

  const messages = await jobChatRepo.listMessagesForThread(input.threadId, {
    limit: 200,
  });
  const targetIndex = messages.findIndex((message) => message.id === target.id);
  const priorUser =
    targetIndex > 0
      ? [...messages.slice(0, targetIndex)]
          .reverse()
          .find((message) => message.role === "user")
      : null;

  if (!priorUser) {
    throw badRequest("Could not find a user message to regenerate from");
  }

  const result = await runAssistantReply({
    jobId: input.jobId,
    threadId: input.threadId,
    prompt: priorUser.content,
    replaceMessageId: target.id,
    version: (target.version || 1) + 1,
    stream: input.stream,
  });

  const assistantMessage = await jobChatRepo.getMessageById(result.messageId);

  return {
    runId: result.runId,
    assistantMessage,
  };
}

export async function regenerateMessageForJob(input: {
  jobId: string;
  assistantMessageId: string;
  stream?: GenerateReplyOptions["stream"];
}) {
  const thread = await ensureJobThread(input.jobId);
  return regenerateMessage({
    jobId: input.jobId,
    threadId: thread.id,
    assistantMessageId: input.assistantMessageId,
    stream: input.stream,
  });
}

export async function cancelRun(input: {
  jobId: string;
  threadId: string;
  runId: string;
}): Promise<{ cancelled: boolean; alreadyFinished: boolean }> {
  const run = await jobChatRepo.getRunById(input.runId);
  if (!run || run.threadId !== input.threadId || run.jobId !== input.jobId) {
    throw notFound("Run not found for this thread");
  }

  if (run.status !== "running") {
    return {
      cancelled: false,
      alreadyFinished: true,
    };
  }

  const controller = abortControllers.get(input.runId);
  if (controller) {
    controller.abort();
  }

  const runAfterCancel = await jobChatRepo.completeRunIfRunning(input.runId, {
    status: "cancelled",
    errorCode: "REQUEST_TIMEOUT",
    errorMessage: "Generation cancelled by user",
  });

  if (!runAfterCancel || runAfterCancel.status !== "cancelled") {
    return {
      cancelled: false,
      alreadyFinished: true,
    };
  }

  return {
    cancelled: true,
    alreadyFinished: false,
  };
}

export async function cancelRunForJob(input: {
  jobId: string;
  runId: string;
}): Promise<{ cancelled: boolean; alreadyFinished: boolean }> {
  const thread = await ensureJobThread(input.jobId);
  return cancelRun({
    jobId: input.jobId,
    threadId: thread.id,
    runId: input.runId,
  });
}