ai-chatbot/scripts/sync-vip98k-nano-banana-21.ts

import dotenv from "dotenv";
import { mkdirSync, writeFileSync } from "node:fs";
import { join } from "node:path";
import postgres from "postgres";
import {
  buildVip98kModelPresets,
  fetchVip98kCatalog,
} from "../lib/ai/vip98k-models";

const MODEL_ID = "nano-banana-2.1";
dotenv.config({ path: ".env.local" });

async function main() {
  if (!process.env.POSTGRES_URL) throw new Error("POSTGRES_URL is required");
  const sql = postgres(process.env.POSTGRES_URL, { max: 1, prepare: false });
  try {
    const providers = await sql`
      select id, "baseUrl", "apiKey" from "AiProvider"
      where type = 'vip98k' and "isEnabled" = true
    `;
    const candidates = providers.filter(
      (provider) => new URL(provider.baseUrl).hostname === "api.vip98k.com",
    );
    if (candidates.length !== 1) {
      throw new Error("Expected exactly one enabled api.vip98k.com provider");
    }
    const provider = candidates[0]!;
    const catalog = await fetchVip98kCatalog({
      baseURL: provider.baseUrl,
      apiKey: provider.apiKey,
    });
    const model = catalog.find(
      (item) => (item.modelId || item.id || item.name) === MODEL_ID,
    );
    if (!model) throw new Error("Model is absent from the authorized catalog");
    const preset = buildVip98kModelPresets([model])[0];
    if (!preset || preset.isHidden || !preset.supportsVision) {
      throw new Error("Published model does not qualify for reference-image generation");
    }

    // Use the published asynchronous contract for both text and reference input.
    // This preserves native resolution and aspect ratio instead of prompt hints.
    const metadata = preset.capabilities.vip98k as {
      invocation: Record<string, unknown>;
      invocations: Array<{
        kind: string;
        path: string;
        requestExample: Record<string, unknown>;
        inputSchema?: { properties?: Record<string, { enum?: string[] }> };
      }>;
    };
    const invocation = metadata.invocations.find(
      (item) => item.kind === "task" && item.path === "/extensions/v1/tasks",
    );
    const fields = invocation?.inputSchema?.properties;
    if (
      !invocation || !fields?.file_urls || !fields.aspect_ratio ||
      !["1K", "2K", "4K"].every((size) => fields.resolution?.enum?.includes(size))
    ) {
      throw new Error("Expected asynchronous multi-reference and 1K/2K/4K contract");
    }
    const taskMetadata = { ...metadata, invocation, invocations: [invocation] };
    const capabilities = { ...preset.capabilities, vip98k: taskMetadata };
    const imageGenConfig = {
      ...preset.imageGenConfig,
      supportsQuality: false,
      vip98k: taskMetadata,
    };
    const { quality: _quality, ...defaultParams } = preset.defaultParams;
    const existing = await sql`
      select * from "AiModel"
      where "providerId" = ${provider.id} and "modelId" = ${MODEL_ID}
    `;
    if (existing.length > 1) throw new Error("Duplicate model rows require reconciliation");
    const summary = {
      modelId: MODEL_ID,
      providerId: provider.id,
      apply: process.argv.includes("--apply"),
      exists: existing.length === 1,
      sizes: preset.capabilities.supportedImageSizes,
      supportsReferenceImages: preset.supportsVision,
      invocationPath: invocation.path,
    };
    if (!summary.apply) return console.log(JSON.stringify(summary, null, 2));

    const backupIndex = process.argv.indexOf("--backup-dir");
    if (backupIndex < 0 || !process.argv[backupIndex + 1]) {
      throw new Error("--backup-dir is required when applying configuration");
    }
    const backupDir = process.argv[backupIndex + 1]!;
    mkdirSync(backupDir, { recursive: true, mode: 0o700 });
    writeFileSync(join(backupDir, `model-before-${Date.now()}.json`), JSON.stringify(existing), { mode: 0o600 });
    const asJson = (value: unknown) => sql.json(JSON.parse(JSON.stringify(value)));
    const id = await sql.begin(async (tx) => {
      await tx`select pg_advisory_xact_lock(hashtext(${provider.id + ":" + MODEL_ID}))`;
      const rows = await tx`
        select id from "AiModel"
        where "providerId" = ${provider.id} and "modelId" = ${MODEL_ID}
        for update
      `;
      if (rows.length > 1) throw new Error("Duplicate model rows");
      if (!rows.length) {
        const [created] = await tx`
          insert into "AiModel" (
            "providerId", "modelId", "displayName", description,
            "supportsVision", "supportsImageGen", "isEnabled", "isHidden",
            "isDefault", "sortOrder", capabilities, "defaultParams", "imageGenConfig"
          ) values (
            ${provider.id}, ${MODEL_ID}, ${preset.displayName}, ${preset.description},
            true, true, true, false, false, 106,
            ${asJson(capabilities)}, ${asJson(defaultParams)}, ${asJson(imageGenConfig)}
          ) returning id
        `;
        return created!.id;
      }
      await tx`
        update "AiModel" set
          "displayName" = ${preset.displayName}, description = ${preset.description},
          "supportsVision" = true, "supportsImageGen" = true,
          "isEnabled" = true, "isHidden" = false,
          capabilities = ${asJson(capabilities)}, "defaultParams" = ${asJson(defaultParams)},
          "imageGenConfig" = ${asJson(imageGenConfig)}, "updatedAt" = now()
        where id = ${rows[0]!.id}
      `;
      return rows[0]!.id;
    });
    console.log(JSON.stringify({ ...summary, id, enabled: true, visible: true }, null, 2));
  } finally {
    await sql.end();
  }
}

main().catch((error) => {
  console.error(error instanceof Error ? error.message : "Model synchronization failed");
  process.exitCode = 1;
});