import { isProviderApiKeyConfigured } from "openclaw/plugin-sdk/provider-auth";
import { resolveApiKeyForProvider } from "openclaw/plugin-sdk/provider-auth-runtime";
import {
  assertOkOrThrowHttpError,
  createProviderOperationDeadline,
  fetchWithTimeout,
  postJsonRequest,
  resolveProviderOperationTimeoutMs,
  resolveProviderHttpRequestConfig,
  waitProviderOperationPollInterval,
} from "openclaw/plugin-sdk/provider-http";
import { normalizeOptionalString } from "openclaw/plugin-sdk/text-runtime";
import type {
  GeneratedVideoAsset,
  VideoGenerationProvider,
  VideoGenerationRequest,
} from "openclaw/plugin-sdk/video-generation";
import { resolveConfiguredOpenAIBaseUrl, toOpenAIDataUrl } from "./shared.js";

const DEFAULT_OPENAI_VIDEO_BASE_URL = "https://api.openai.com/v1";
const DEFAULT_OPENAI_VIDEO_MODEL = "sora-2";
const DEFAULT_TIMEOUT_MS = 120_000;
const POLL_INTERVAL_MS = 2_500;
const MAX_POLL_ATTEMPTS = 120;
const OPENAI_VIDEO_SECONDS = [4, 8, 12] as const;
const OPENAI_VIDEO_SIZES = ["720x1280", "1280x720", "1024x1792", "1792x1024"] as const;

type OpenAIVideoStatus = "queued" | "in_progress" | "completed" | "failed";

type OpenAIVideoResponse = {
  id?: string;
  model?: string;
  status?: OpenAIVideoStatus;
  prompt?: string | null;
  seconds?: string;
  size?: string;
  error?: {
    code?: string;
    message?: string;
  } | null;
};

function toBlobBytes(buffer: Buffer): ArrayBuffer {
  const arrayBuffer = new ArrayBuffer(buffer.byteLength);
  new Uint8Array(arrayBuffer).set(buffer);
  return arrayBuffer;
}

function resolveDurationSeconds(durationSeconds: number | undefined): "4" | "8" | "12" | undefined {
  if (typeof durationSeconds !== "number" || !Number.isFinite(durationSeconds)) {
    return undefined;
  }
  const rounded = Math.max(OPENAI_VIDEO_SECONDS[0], Math.round(durationSeconds));
  const nearest = OPENAI_VIDEO_SECONDS.reduce((best, current) =>
    Math.abs(current - rounded) < Math.abs(best - rounded) ? current : best,
  );
  return String(nearest) as "4" | "8" | "12";
}

function resolveSize(params: {
  size?: string;
  aspectRatio?: string;
  resolution?: string;
}): (typeof OPENAI_VIDEO_SIZES)[number] | undefined {
  const explicitSize = normalizeOptionalString(params.size);
  if (
    explicitSize &&
    OPENAI_VIDEO_SIZES.includes(explicitSize as (typeof OPENAI_VIDEO_SIZES)[number])
  ) {
    return explicitSize as (typeof OPENAI_VIDEO_SIZES)[number];
  }
  switch (normalizeOptionalString(params.aspectRatio)) {
    case "9:16":
      return "720x1280";
    case "16:9":
      return "1280x720";
    case "4:7":
      return "1024x1792";
    case "7:4":
      return "1792x1024";
    default:
      break;
  }
  if (params.resolution === "1080P") {
    return "1792x1024";
  }
  return undefined;
}

function resolveReferenceAsset(req: VideoGenerationRequest) {
  const allAssets = [...(req.inputImages ?? []), ...(req.inputVideos ?? [])];
  if (allAssets.length === 0) {
    return null;
  }
  if (allAssets.length > 1) {
    throw new Error("OpenAI video generation supports at most one reference image or video.");
  }
  const [asset] = allAssets;
  if (!asset?.buffer) {
    throw new Error(
      "OpenAI video generation currently requires local image/video uploads for reference assets.",
    );
  }
  const mimeType =
    normalizeOptionalString(asset.mimeType) ||
    ((req.inputVideos?.length ?? 0) > 0 ? "video/mp4" : "image/png");
  const extension = mimeType.includes("video")
    ? "mp4"
    : mimeType.includes("jpeg")
      ? "jpg"
      : mimeType.includes("webp")
        ? "webp"
        : "png";
  const fileName =
    normalizeOptionalString(asset.fileName) ||
    `${(req.inputVideos?.length ?? 0) > 0 ? "reference-video" : "reference-image"}.${extension}`;
  return new File([toBlobBytes(asset.buffer)], fileName, { type: mimeType });
}

async function pollOpenAIVideo(params: {
  videoId: string;
  headers: Headers;
  timeoutMs?: number;
  baseUrl: string;
  fetchFn: typeof fetch;
}): Promise<OpenAIVideoResponse> {
  const deadline = createProviderOperationDeadline({
    timeoutMs: params.timeoutMs,
    label: `OpenAI video generation task ${params.videoId}`,
  });
  for (let attempt = 0; attempt < MAX_POLL_ATTEMPTS; attempt += 1) {
    const response = await fetchWithTimeout(
      `${params.baseUrl}/videos/${params.videoId}`,
      {
        method: "GET",
        headers: params.headers,
      },
      resolveProviderOperationTimeoutMs({ deadline, defaultTimeoutMs: DEFAULT_TIMEOUT_MS }),
      params.fetchFn,
    );
    await assertOkOrThrowHttpError(response, "OpenAI video status request failed");
    const payload = (await response.json()) as OpenAIVideoResponse;
    if (payload.status === "completed") {
      return payload;
    }
    if (payload.status === "failed") {
      throw new Error(
        normalizeOptionalString(payload.error?.message) || "OpenAI video generation failed",
      );
    }
    await waitProviderOperationPollInterval({ deadline, pollIntervalMs: POLL_INTERVAL_MS });
  }
  throw new Error(`OpenAI video generation task ${params.videoId} did not finish in time`);
}

async function downloadOpenAIVideo(params: {
  videoId: string;
  headers: Headers;
  timeoutMs?: number;
  baseUrl: string;
  fetchFn: typeof fetch;
}): Promise<GeneratedVideoAsset> {
  const url = new URL(`${params.baseUrl}/videos/${params.videoId}/content`);
  url.searchParams.set("variant", "video");
  const response = await fetchWithTimeout(
    url.toString(),
    {
      method: "GET",
      headers: new Headers({
        ...Object.fromEntries(params.headers.entries()),
        Accept: "application/binary",
      }),
    },
    params.timeoutMs ?? DEFAULT_TIMEOUT_MS,
    params.fetchFn,
  );
  await assertOkOrThrowHttpError(response, "OpenAI video download failed");
  const mimeType = normalizeOptionalString(response.headers.get("content-type")) ?? "video/mp4";
  const arrayBuffer = await response.arrayBuffer();
  return {
    buffer: Buffer.from(arrayBuffer),
    mimeType,
    fileName: `video-1.${mimeType.includes("webm") ? "webm" : "mp4"}`,
  };
}

export function buildOpenAIVideoGenerationProvider(): VideoGenerationProvider {
  return {
    id: "openai",
    label: "OpenAI",
    defaultModel: DEFAULT_OPENAI_VIDEO_MODEL,
    models: [DEFAULT_OPENAI_VIDEO_MODEL, "sora-2-pro"],
    isConfigured: ({ agentDir }) =>
      isProviderApiKeyConfigured({
        provider: "openai",
        agentDir,
      }),
    capabilities: {
      generate: {
        maxVideos: 1,
        maxDurationSeconds: 12,
        supportedDurationSeconds: OPENAI_VIDEO_SECONDS,
        supportsSize: true,
        sizes: OPENAI_VIDEO_SIZES,
      },
      imageToVideo: {
        enabled: true,
        maxVideos: 1,
        maxInputImages: 1,
        maxDurationSeconds: 12,
        supportedDurationSeconds: OPENAI_VIDEO_SECONDS,
        supportsSize: true,
        sizes: OPENAI_VIDEO_SIZES,
      },
      videoToVideo: {
        enabled: true,
        maxVideos: 1,
        maxInputVideos: 1,
        maxDurationSeconds: 12,
        supportedDurationSeconds: OPENAI_VIDEO_SECONDS,
        supportsSize: true,
        sizes: OPENAI_VIDEO_SIZES,
      },
    },
    async generateVideo(req) {
      const auth = await resolveApiKeyForProvider({
        provider: "openai",
        cfg: req.cfg,
        agentDir: req.agentDir,
        store: req.authStore,
      });
      if (!auth.apiKey) {
        throw new Error("OpenAI API key missing");
      }

      const fetchFn = fetch;
      const deadline = createProviderOperationDeadline({
        timeoutMs: req.timeoutMs,
        label: "OpenAI video generation",
      });
      const { baseUrl, allowPrivateNetwork, headers, dispatcherPolicy } =
        resolveProviderHttpRequestConfig({
          baseUrl: resolveConfiguredOpenAIBaseUrl(req.cfg),
          defaultBaseUrl: DEFAULT_OPENAI_VIDEO_BASE_URL,
          allowPrivateNetwork: false,
          defaultHeaders: {
            Authorization: `Bearer ${auth.apiKey}`,
          },
          provider: "openai",
          capability: "video",
          transport: "http",
        });

      const model = normalizeOptionalString(req.model) ?? DEFAULT_OPENAI_VIDEO_MODEL;
      const seconds = resolveDurationSeconds(req.durationSeconds);
      const size = resolveSize({
        size: req.size,
        aspectRatio: req.aspectRatio,
        resolution: req.resolution,
      });
      const inputImage = req.inputImages?.[0];
      const referenceAsset = resolveReferenceAsset(req);
      const requestUrl = `${baseUrl}/videos`;
      const requestResult = referenceAsset
        ? inputImage?.buffer
          ? await (() => {
              const jsonHeaders = new Headers(headers);
              jsonHeaders.set("Content-Type", "application/json");
              return postJsonRequest({
                url: requestUrl,
                headers: jsonHeaders,
                body: {
                  prompt: req.prompt,
                  model,
                  ...(seconds ? { seconds } : {}),
                  ...(size ? { size } : {}),
                  input_reference: {
                    image_url: toOpenAIDataUrl(
                      inputImage.buffer,
                      normalizeOptionalString(inputImage.mimeType) ?? "image/png",
                    ),
                  },
                },
                timeoutMs: resolveProviderOperationTimeoutMs({
                  deadline,
                  defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
                }),
                fetchFn,
                allowPrivateNetwork,
                dispatcherPolicy,
              });
            })()
          : await (() => {
              const form = new FormData();
              form.set("prompt", req.prompt);
              form.set("model", model);
              if (seconds) {
                form.set("seconds", seconds);
              }
              if (size) {
                form.set("size", size);
              }
              form.set("input_reference", referenceAsset);
              const multipartHeaders = new Headers(headers);
              multipartHeaders.delete("Content-Type");
              return fetchWithTimeout(
                requestUrl,
                {
                  method: "POST",
                  headers: multipartHeaders,
                  body: form,
                },
                resolveProviderOperationTimeoutMs({
                  deadline,
                  defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
                }),
                fetchFn,
              ).then((response) => ({
                response,
                release: async () => {},
              }));
            })()
        : await (() => {
            const jsonHeaders = new Headers(headers);
            jsonHeaders.set("Content-Type", "application/json");
            return postJsonRequest({
              url: requestUrl,
              headers: jsonHeaders,
              body: {
                prompt: req.prompt,
                model,
                ...(seconds ? { seconds } : {}),
                ...(size ? { size } : {}),
              },
              timeoutMs: resolveProviderOperationTimeoutMs({
                deadline,
                defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
              }),
              fetchFn,
              allowPrivateNetwork,
              dispatcherPolicy,
            });
          })();
      const { response, release } = requestResult;

      try {
        await assertOkOrThrowHttpError(response, "OpenAI video generation failed");
        const submitted = (await response.json()) as OpenAIVideoResponse;
        const videoId = normalizeOptionalString(submitted.id);
        if (!videoId) {
          throw new Error("OpenAI video generation response missing video id");
        }
        const completed = await pollOpenAIVideo({
          videoId,
          headers,
          timeoutMs: resolveProviderOperationTimeoutMs({
            deadline,
            defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
          }),
          baseUrl,
          fetchFn,
        });
        const video = await downloadOpenAIVideo({
          videoId,
          headers,
          timeoutMs: resolveProviderOperationTimeoutMs({
            deadline,
            defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
          }),
          baseUrl,
          fetchFn,
        });
        return {
          videos: [video],
          model: completed.model ?? submitted.model ?? model,
          metadata: {
            videoId,
            status: completed.status,
            seconds: completed.seconds ?? submitted.seconds,
            size: completed.size ?? submitted.size,
          },
        };
      } finally {
        await release();
      }
    },
  };
}