import {z} from 'zod'

export type CohereMessage = {role: 'system' | 'user' | 'assistant' | 'tool', content?: (string | Array<{type: 'text' | 'image_url' | 'thinking' | 'document', text?: string | undefined, image_url?: ({url?: string | undefined}) | undefined, thinking?: string | undefined, document?: ({data?: Record<string, never> | undefined, id?: string | undefined}) | undefined}>) | undefined, tool_calls?: (Array<{id?: string | undefined, type?: 'function' | undefined, function?: ({name?: string | undefined, arguments?: string | undefined}) | undefined}>) | undefined, tool_call_id?: string | undefined, tool_plan?: string | undefined};

export type CohereChatRequest = {model: string, messages: Array<CohereMessage>, tools?: (Array<{type?: 'function' | undefined, function?: ({name?: string | undefined, description?: string | undefined, parameters?: Record<string, never> | undefined}) | undefined}>) | undefined, tool_choice?: ('AUTO' | 'NONE' | 'REQUIRED') | undefined, temperature?: number | undefined, p?: number | undefined, k?: number | undefined, max_tokens?: number | undefined, stop_sequences?: Array<string> | undefined, frequency_penalty?: number | undefined, presence_penalty?: number | undefined, stream?: boolean | undefined, safety_mode?: ('CONTEXTUAL' | 'STRICT' | 'NONE') | undefined, log_probs?: boolean | undefined, strict_tool_choice?: boolean | undefined, thinking?: ({type?: ('enabled' | 'disabled') | undefined, token_budget?: number | undefined}) | undefined, response_format?: ({type?: ('text' | 'json_object') | undefined, schema?: Record<string, never> | undefined}) | undefined};

export type CreateApiPydanticaiCohereV2ChatArgs = {body: CohereChatRequest};

export type CreateApiPydanticaiCohereV2ChatOptions = {baseUrl?: string | undefined, BearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const cohereChatResponse = z.object({id: z.string().optional(), finish_reason: z.enum(["COMPLETE", "STOP_SEQUENCE", "MAX_TOKENS", "TOOL_CALL", "ERROR", "TIMEOUT"]).optional(), message: z.object({role: z.string().optional(), content: z.array(z.object({type: z.enum(["text", "image_url", "thinking", "document"]), text: z.string().optional(), image_url: z.object({url: z.string().optional()}).optional(), thinking: z.string().optional(), document: z.object({data: z.object({}).optional(), id: z.string().optional()}).optional()})).optional(), tool_calls: z.array(z.object({id: z.string().optional(), type: z.literal("function").optional(), function: z.object({name: z.string().optional(), arguments: z.string().optional()}).optional()})).optional(), tool_plan: z.string().optional()}).optional(), usage: z.object({billed_units: z.object({input_tokens: z.number().int().optional(), output_tokens: z.number().int().optional(), search_units: z.number().int().optional(), classifications: z.number().int().optional()}).optional(), tokens: z.object({input_tokens: z.number().int().optional(), output_tokens: z.number().int().optional()}).optional(), cached_tokens: z.number().int().optional()}).optional(), logprobs: z.array(z.object({token_ids: z.array(z.number().int()).optional(), text: z.string().optional(), logprobs: z.array(z.number()).optional()})).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
};

/**
 * Chat with model (PydanticAI - Cohere format)
 * 
 * POST /pydanticai/cohere/v2/chat
 * 
 * Also accepts auth: BasicAuth, VirtualKeyAuth, ApiKeyAuth
 */
export const createApiPydanticaiCohereV2Chat = async (args: CreateApiPydanticaiCohereV2ChatArgs, options?: CreateApiPydanticaiCohereV2ChatOptions) => {
const {baseUrl = "http://localhost:8080", 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 = `${baseUrl.replace(/\/+$/, '')}/pydanticai/cohere/v2/chat${query.size > 0 ? `?${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(cohereChatResponse, await res.json())
};