import {z} from 'zod'

export type AgentLlmProviderEnum = 'anthropic' | 'openai' | 'openai-responses' | 'ollama' | 'azure' | 'azure-openai' | 'bedrock' | 'qwen' | 'openai-compatible';

export type ToolContext = {name: string, description?: string | undefined};

export type OutputSchemaField = {name: string, type: string};

export type SystemPromptSuggestionRequest = {provider: AgentLlmProviderEnum, model?: string | undefined, apiKey?: string | undefined, baseUrl?: (string | null) | undefined, savedConnectionId?: (string | null) | undefined, agentType: string, agentName?: (string | null) | undefined, description?: (string | null) | undefined, inputTopics?: Array<string> | undefined, selectedFields?: Array<string> | undefined, tools?: Array<ToolContext> | undefined, outputSchema?: Array<OutputSchemaField> | undefined, filterSQL?: (string | null) | undefined, existingCustomInstructions?: (string | null) | undefined, generationHint?: (string | null) | undefined};

export type CreateApiAgentsSystemPromptSuggestionArgs = {body: SystemPromptSuggestionRequest};

export type CreateApiAgentsSystemPromptSuggestionOptions = {baseUrl?: string | undefined, FronteggHTTPAuthentication?: string | undefined, fetch?: typeof fetch | undefined};

export const systemPromptSuggestionResponse = z.object({generatedPrompt: z.string(), tokensIn: z.number().int(), tokensOut: z.number().int(), model: z.string(), provider: z.string()});

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
};

/**
 * Suggest Agent System Prompt
 * 
 * POST /agents/system-prompt-suggestion
 */
export const createApiAgentsSystemPromptSuggestion = async (args: CreateApiAgentsSystemPromptSuggestionArgs, options?: CreateApiAgentsSystemPromptSuggestionOptions) => {
const {baseUrl = "https://api.streamkap.com", fetch: fetchFn = fetch, FronteggHTTPAuthentication} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/agents/system-prompt-suggestion${query.size > 0 ? `?${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(systemPromptSuggestionResponse, await res.json())
};