import { type ClawdbotConfig, loadConfig } from "../config/config.js";
import { resolveClawdbotAgentDir } from "./agent-paths.js";
import { ensureOpenClawModelsJson } from "./models-config.js";

export type ModelCatalogEntry = {
  id: string;
  name: string;
  provider: string;
  contextWindow?: number;
  reasoning?: boolean;
  input?: Array<"text" | "image">;
};

type DiscoveredModel = {
  id: string;
  name?: string;
  provider: string;
  contextWindow?: number;
  reasoning?: boolean;
  input?: Array<"text" | "image">;
};

type PiSdkModule = typeof import("@mariozechner/pi-coding-agent");

let modelCatalogPromise: Promise<ModelCatalogEntry[]> | null = null;
let hasLoggedModelCatalogError = false;
const defaultImportPiSdk = () => import("@mariozechner/pi-coding-agent");
let importPiSdk = defaultImportPiSdk;

const CODEX_PROVIDER = "openai-codex";
const OPENAI_CODEX_GPT53_MODEL_ID = "gpt-5.3-codex";
const OPENAI_CODEX_GPT53_SPARK_MODEL_ID = "gpt-5.3-codex-spark";

function applyOpenAICodexSparkFallback(models: ModelCatalogEntry[]): void {
  const hasSpark = models.some(
    (entry) =>
      entry.provider === CODEX_PROVIDER &&
      entry.id.toLowerCase() === OPENAI_CODEX_GPT53_SPARK_MODEL_ID,
  );
  if (hasSpark) {
    return;
  }

  const baseModel = models.find(
    (entry) =>
      entry.provider === CODEX_PROVIDER && entry.id.toLowerCase() === OPENAI_CODEX_GPT53_MODEL_ID,
  );
  if (!baseModel) {
    return;
  }

  models.push({
    ...baseModel,
    id: OPENAI_CODEX_GPT53_SPARK_MODEL_ID,
    name: OPENAI_CODEX_GPT53_SPARK_MODEL_ID,
  });
}

export function resetModelCatalogCacheForTest() {
  modelCatalogPromise = null;
  hasLoggedModelCatalogError = false;
  importPiSdk = defaultImportPiSdk;
}

// Test-only escape hatch: allow mocking the dynamic import to simulate transient failures.
export function __setModelCatalogImportForTest(loader?: () => Promise<PiSdkModule>) {
  importPiSdk = loader ?? defaultImportPiSdk;
}

export async function loadModelCatalog(params?: {
  config?: ClawdbotConfig;
  useCache?: boolean;
}): Promise<ModelCatalogEntry[]> {
  if (params?.useCache === false) {
    modelCatalogPromise = null;
  }
  if (modelCatalogPromise) return modelCatalogPromise;

  modelCatalogPromise = (async () => {
    const models: ModelCatalogEntry[] = [];
    const sortModels = (entries: ModelCatalogEntry[]) =>
      entries.sort((a, b) => {
        const p = a.provider.localeCompare(b.provider);
        if (p !== 0) return p;
        return a.name.localeCompare(b.name);
      });
    try {
      const cfg = params?.config ?? loadConfig();
      await ensureOpenClawModelsJson(cfg);
      // IMPORTANT: keep the dynamic import *inside* the try/catch.
      // If this fails once (e.g. during a pnpm install that temporarily swaps node_modules),
      // we must not poison the cache with a rejected promise (otherwise all channel handlers
      // will keep failing until restart).
      const piSdk = await importPiSdk();
      const agentDir = resolveClawdbotAgentDir();
      const authStorage = piSdk.discoverAuthStorage(agentDir);
      const registry = piSdk.discoverModels(authStorage, agentDir) as
        | {
            getAll: () => Array<DiscoveredModel>;
          }
        | Array<DiscoveredModel>;
      const entries = Array.isArray(registry) ? registry : registry.getAll();
      for (const entry of entries) {
        const id = String(entry?.id ?? "").trim();
        if (!id) continue;
        const provider = String(entry?.provider ?? "").trim();
        if (!provider) continue;
        const name = String(entry?.name ?? id).trim() || id;
        const contextWindow =
          typeof entry?.contextWindow === "number" && entry.contextWindow > 0
            ? entry.contextWindow
            : undefined;
        const reasoning = typeof entry?.reasoning === "boolean" ? entry.reasoning : undefined;
        const input = Array.isArray(entry?.input)
          ? (entry.input as Array<"text" | "image">)
          : undefined;
        models.push({ id, name, provider, contextWindow, reasoning, input });
      }
      applyOpenAICodexSparkFallback(models);

      if (models.length === 0) {
        // If we found nothing, don't cache this result so we can try again.
        modelCatalogPromise = null;
      }

      return sortModels(models);
    } catch (error) {
      if (!hasLoggedModelCatalogError) {
        hasLoggedModelCatalogError = true;
        console.warn(`[model-catalog] Failed to load model catalog: ${String(error)}`);
      }
      // Don't poison the cache on transient dependency/filesystem issues.
      modelCatalogPromise = null;
      if (models.length > 0) {
        return sortModels(models);
      }
      return [];
    }
  })();

  return modelCatalogPromise;
}

/**
 * Check if a model supports image input based on its catalog entry.
 */
export function modelSupportsVision(entry: ModelCatalogEntry | undefined): boolean {
  return entry?.input?.includes("image") ?? false;
}

/**
 * Find a model in the catalog by provider and model ID.
 */
export function findModelInCatalog(
  catalog: ModelCatalogEntry[],
  provider: string,
  modelId: string,
): ModelCatalogEntry | undefined {
  const normalizedProvider = provider.toLowerCase().trim();
  const normalizedModelId = modelId.toLowerCase().trim();
  return catalog.find(
    (entry) =>
      entry.provider.toLowerCase() === normalizedProvider &&
      entry.id.toLowerCase() === normalizedModelId,
  );
}
