import {z} from 'zod'

export type AI734FindSolutionThinkingRequest = {task_id: string};

export type CreateApiAiMaterialFindSolutionThinkingArgs = {body: AI734FindSolutionThinkingRequest};

export type CreateApiAiMaterialFindSolutionThinkingOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const aI734FindSolutionThinkingVectorSearchResponseDTO = z.object({pn: z.string().optional(), apd: z.string().optional(), pbd: z.string().optional(), link: z.string().optional(), title: z.string().optional(), authors: z.object({}).optional(), content: z.string().optional(), org_info: z.object({}).optional(), project_id: z.string().optional(), solution_id: z.string().optional(), project_name: z.string().optional(), solution_type: z.string().optional(), solution_sub_type: z.string().optional()});

export const aI734FindSolutionThinkingMindMaterialReferenceResponse = z.object({references: z.array(aI734FindSolutionThinkingVectorSearchResponseDTO).optional()});

export const aI734FindSolutionThinkingSuccessCriterion = z.object({metric: z.string().optional(), target: z.string().optional(), priority: z.string().optional(), validation_method: z.string().optional()});

export const aI734FindSolutionThinkingTechnicalConstraint = z.object({category: z.string().optional(), description: z.string().optional(), impact_level: z.string().optional()});

export const aI734FindSolutionThinkingPerformanceRequirement = z.object({unit: z.string().optional(), parameter: z.string().optional(), tolerance: z.string().optional(), target_value: z.string().optional()});

export const aI734FindSolutionThinkingProblemStatementResponse = z.object({domain: z.string().optional(), problem_title: z.string().optional(), success_criteria: z.array(aI734FindSolutionThinkingSuccessCriterion).optional(), refined_statement: z.string().optional(), background_context: z.string().optional(), technical_constraints: z.array(aI734FindSolutionThinkingTechnicalConstraint).optional(), performance_requirements: z.array(aI734FindSolutionThinkingPerformanceRequirement).optional()});

export const aI734FindSolutionThinkingMaterialThinkingResponse = z.object({status: z.string().optional(), board_id: z.string().optional(), direction: z.object({}).optional(), references: aI734FindSolutionThinkingMindMaterialReferenceResponse.optional(), problem_statement: aI734FindSolutionThinkingProblemStatementResponse.optional()});

export const aI734FindSolutionThinkingResponse = z.object({data: aI734FindSolutionThinkingMaterialThinkingResponse.optional(), status: z.boolean(), error_msg: z.string().optional(), error_code: z.number().int()});

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
};

/**
 * AI73-4 Find Solutions (Materials)-Get Thinking Response
 * 
 * POST /ai/material/find-solution/thinking
 */
export const createApiAiMaterialFindSolutionThinking = async (args: CreateApiAiMaterialFindSolutionThinkingArgs, options?: CreateApiAiMaterialFindSolutionThinkingOptions) => {
const {baseUrl = "https://connect.patsnap.com", fetch: fetchFn = fetch, bearerAuth} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/ai/material/find-solution/thinking${query.size > 0 ? `?${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(aI734FindSolutionThinkingResponse, await res.json())
};