import {z} from 'zod'

export type EvalAnalysisRequest = {name?: (string | null) | undefined, eval_type?: (string | null) | undefined, status?: (string | null) | undefined, language?: (string | null) | undefined, modality?: (string | null) | undefined, created_by?: (string | null) | undefined, created_after?: (string | null) | undefined, created_before?: (string | null) | undefined, is_jailbreak?: (boolean | null) | undefined, is_sandbox?: (boolean | null) | undefined, workspace_uuid?: (string | null) | undefined, min_pass_rate?: (number | null) | undefined, max_pass_rate?: (number | null) | undefined, has_score_runs?: (boolean | null) | undefined, score_run_status?: (string | null) | undefined, run_created_after?: (string | null) | undefined, run_created_before?: (string | null) | undefined, sort_by?: ('created_at' | 'updated_at' | 'name' | 'pass_rate' | 'num_score_runs' | 'last_run_date') | undefined, sort_order?: ('asc' | 'desc') | undefined, limit?: number | undefined, offset?: number | undefined};

export type CreateApiV2EvalAnalysisArgs = {body: EvalAnalysisRequest};

export type CreateApiV2EvalAnalysisOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const tool = z.object({name: z.string(), content: z.union([z.string(), z.object({})]).nullable()});

export const toolArray = z.object({type: z.literal("array").optional(), value: z.array(tool)});

export const toolDict = z.object({type: z.literal("dict").optional(), value: z.object({})}).and(z.record(z.string(), z.unknown()));

export const toolString = z.object({type: z.literal("string").optional(), value: z.string()});

export const agentInstructions = z.object({agent_name: z.string().nullable().optional(), system_prompt: z.string(), tools: z.discriminatedUnion("type", [toolArray, toolDict, toolString]).optional()});

export const workflowInstructions = z.object({instructions: z.array(agentInstructions)});

export const contentType = z.enum(["text", "image", "video"]);

export const fileReference = z.object({file_uuid: z.string().nullable().optional(), remote_file_path: z.string().nullable().optional()});

export const exampleType = z.enum(["good", "bad"]);

export const promptExample = z.object({content: z.string(), example_uuid: z.string().nullable().optional(), type: exampleType.optional(), explanation: z.string().nullable().optional()});

export const status = z.enum(["created", "processing", "finished", "failed"]);

export const eval = z.object({eval_uuid: z.string().nullable().optional(), name: z.string().nullable().optional(), created_by: z.string().nullable().optional(), ai_description: z.string(), ai_instructions: z.union([z.string(), agentInstructions, workflowInstructions]).nullable().optional(), eval_type: z.string(), eval_instructions: z.string().nullable().optional(), language: z.string().nullable().optional(), modality: contentType.optional(), ground_truth: z.union([z.string(), fileReference]).nullable().optional(), num_prompts: z.number().int().nullable().optional(), prompt_examples: z.array(promptExample).nullable().optional(), is_jailbreak: z.boolean().optional(), is_sandbox: z.boolean().optional(), workspace_uuid: z.string().nullable().optional(), status: status.nullable().optional(), created_at: z.string().nullable().optional(), updated_at: z.string().nullable().optional()});

export const evalStats = z.object({total_score_runs: z.number().int(), avg_pass_rate: z.number().nullable().optional(), best_pass_rate: z.number().nullable().optional(), worst_pass_rate: z.number().nullable().optional(), last_run_date: z.string().nullable().optional(), total_responses_scored: z.number().int()});

export const evalAnalysisResult = z.object({eval: eval, stats: evalStats});

export const evalAnalysisResponse = z.object({results: z.array(evalAnalysisResult), total_count: z.number().int(), has_more: z.boolean()});

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
};

/**
 * Analyze Evals
 * 
 * POST /v2/eval-analysis
 * 
 * Also accepts auth: AuthBearer
 */
export const createApiV2EvalAnalysis = async (args: CreateApiV2EvalAnalysisArgs, options?: CreateApiV2EvalAnalysisOptions) => {
const {baseUrl = "https://api.aymara.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {}

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

if (ApiKey !== undefined) headers.set("x-api-key", ApiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/v2/eval-analysis${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)})

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

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