import {z} from 'zod'

export type DeleteApiModelsModelNameOptions = {baseUrl?: string | undefined, OAuth2?: string | undefined, fetch?: typeof fetch | undefined};

export const coreEvent = z.object({canaryRevision: z.string().optional(), message: z.string().optional(), revision: z.string().optional(), status: z.string().optional(), time: z.string().optional(), type: z.string().optional()});

export const coreEvents = z.array(coreEvent);

export const metadataLabels = z.record(z.string(), z.string());

export const metadata = z.object({createdAt: z.string().optional(), updatedAt: z.string().optional(), createdBy: z.string().optional(), updatedBy: z.string().optional(), displayName: z.string().optional(), externalId: z.string().optional(), labels: metadataLabels.optional(), name: z.string(), plan: z.string().optional(), url: z.string().optional(), workspace: z.string().optional()});

export const flavor = z.object({name: z.string().optional(), type: z.enum(["cpu", "gpu"]).optional()});

export const flavors = z.array(flavor);

export const integrationConnectionsList = z.array(z.string());

export const policiesList = z.array(z.string());

export const modelRuntime = z.object({endpointName: z.string().optional(), generation: z.enum(["mk3", "mk2"]).optional(), model: z.string().optional(), organization: z.string().optional(), type: z.enum(["hf_private_endpoint", "hf_public_endpoint", "huggingface", "public_model", "mcp", "openai", "anthropic", "gemini", "mistral", "deepseek", "cohere", "cerebras", "xai", "vertexai", "azure-openai-service", "azure-ai-inference", "azure-marketplace", "groq"]).optional()});

export const modelSpec = z.object({enabled: z.boolean().optional(), flavors: flavors.optional(), integrationConnections: integrationConnectionsList.optional(), policies: policiesList.optional(), runtime: modelRuntime.optional(), sandbox: z.boolean().optional()});

export const status = z.enum(["DELETING", "TERMINATED", "FAILED", "DEACTIVATED", "DEACTIVATING", "UPLOADING", "BUILDING", "DEPLOYING", "DEPLOYED", "BUILT"]);

export const model = z.object({events: coreEvents.optional(), metadata: metadata, spec: modelSpec, status: status.optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  const result = await schema['~standard'].validate(value)

  if (result.issues !== undefined) {
    const detail = result.issues
      .map(({ message, path }) =>
        path?.length
          ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}`
          : message
      )
      .join('; ')

    throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } })
  }

  return result.value
};

/**
 * Delete model endpoint
 * 
 * DELETE /models/{modelName}
 * 
 * Also accepts auth: ApiKeyAuth
 */
export const deleteApiModelsModelName = async (options?: DeleteApiModelsModelNameOptions) => {
const {baseUrl = "https://api.blaxel.ai/v0", fetch: fetchFn = fetch, OAuth2} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/json")

if (OAuth2 !== undefined) headers.set('authorization', `Bearer ${OAuth2}`)

const url = `${baseUrl.replace(/\/+$/, '')}/models/${encodeURIComponent(String(args.modelName))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "DELETE", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(model, await res.json())
};