75 lines
4.1 KiB
TypeScript
75 lines
4.1 KiB
TypeScript
import type { GenerationAdapterRequest, NormalizedGenerationOutput } from "./ai-adapter-contract.js";
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import {
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AdapterContractError, type AdapterStartResult, type AdapterTransport, balanceSignalFromResponse,
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classifyAdapterError, dimensionsForRatio, mockPngBytes, validateAdapterRequest, validateMockContract,
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type ModelAdapter, supportedAdapterRatios,
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} from "./model-adapter.js";
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const expectedContract = {
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endpoint: "https://mock.invalid/openai/images",
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fixture_id: "gpt-image-mock-v1",
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mode: "sync",
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protocol_version: "gpt-image-v1",
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response_shape: "data.b64_json",
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supports_reference_images: true,
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supported_ratios: [...supportedAdapterRatios],
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};
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function defaultTransport(): AdapterTransport {
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return {
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async start(request) {
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const dimensions = dimensionsForRatio(request.ratio ?? "3:4");
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return { data: [{ b64_json: mockPngBytes("gpt-image").toString("base64"), ...dimensions }] };
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},
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async poll() { throw new AdapterContractError("unexpected_poll"); },
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};
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}
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export class GptImageAdapter implements ModelAdapter {
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readonly contractVersion = "gpt-image-v1";
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readonly fixtureId = "gpt-image-mock-v1";
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readonly modelId = "gpt-image-2";
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private readonly transport: AdapterTransport;
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constructor(input: { transport?: AdapterTransport } = {}) { this.transport = input.transport ?? defaultTransport(); }
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async start(request: GenerationAdapterRequest): Promise<AdapterStartResult> {
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try {
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validateAdapterRequest(request, this.modelId);
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const response = await this.transport.start({ operation: "start", modelId: this.modelId, prompt: request.prompt, ratio: request.ratio, referenceAssetIds: request.referenceAssetIds });
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if (response && typeof response === "object" && "status" in response && response.status === "failed") {
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const classified = this.classifyError("error" in response ? response.error : undefined, (request.configSnapshot.error_mapping_profile as Record<string, string> | undefined) ?? {});
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return { ...classified, status: "failed" };
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}
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return { outputs: [this.normalizeOutput(response)], status: "completed" };
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} catch (error) {
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const classified = error instanceof AdapterContractError
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? { category: "gateway_contract_invalid" as const, sourceCategory: error.sourceCategory }
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: this.classifyError(error, (request.configSnapshot.error_mapping_profile as Record<string, string> | undefined) ?? {});
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return { ...classified, status: "failed" };
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}
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}
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async poll(upstreamJobReference: string): Promise<AdapterStartResult> {
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void upstreamJobReference;
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return { category: "gateway_contract_invalid", sourceCategory: "unexpected_poll", status: "failed" };
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}
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normalizeOutput(response: unknown): NormalizedGenerationOutput {
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if (!response || typeof response !== "object" || !("data" in response) || !Array.isArray(response.data) || response.data.length !== 1) throw new AdapterContractError("response_single_image_required");
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const image = response.data[0];
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if (!image || typeof image !== "object") throw new AdapterContractError("response_shape_invalid");
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const data = "b64_json" in image && typeof image.b64_json === "string" ? Buffer.from(image.b64_json, "base64") : undefined;
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const pixelHeight = "pixelHeight" in image && typeof image.pixelHeight === "number" ? image.pixelHeight : undefined;
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const pixelWidth = "pixelWidth" in image && typeof image.pixelWidth === "number" ? image.pixelWidth : undefined;
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if (!data || !data.length || !pixelHeight || !pixelWidth) throw new AdapterContractError("response_media_invalid");
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return { bytes: data, mimeType: "image/png", pixelHeight, pixelWidth };
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}
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classifyError(error: unknown, mappingProfile: Readonly<Record<string, string>>) { return classifyAdapterError(error, mappingProfile); }
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checkBalanceSignal(response: unknown) { return balanceSignalFromResponse(response); }
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validateContract(routeProfile: Readonly<Record<string, unknown>>) { return validateMockContract(routeProfile, expectedContract, this.modelId, this.fixtureId, this.contractVersion); }
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}
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export { expectedContract as gptImageMockContract };
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