import {z} from 'zod'

export type LLMObsPromptConfig = {[key: string]: unknown};

export type LLMObsPromptVersionLabel = 'production' | 'development';

export type LLMObsPromptTextTemplate = string;

export type LLMObsPromptChatMessage = {content: string, role: string};

export type LLMObsPromptMessagePlaceholderType = 'placeholder';

export type LLMObsPromptMessagePlaceholder = {name: string, type: LLMObsPromptMessagePlaceholderType};

export type LLMObsPromptChatTemplateItem = LLMObsPromptChatMessage | LLMObsPromptMessagePlaceholder;

export type LLMObsPromptChatTemplate = Array<LLMObsPromptChatTemplateItem>;

export type LLMObsPromptInclude = {items?: Array<number> | undefined, prompt_id: string, version: number};

export type LLMObsPromptIncludeItem = {include: LLMObsPromptInclude};

export type LLMObsPromptAuthoringItem = LLMObsPromptChatMessage | LLMObsPromptIncludeItem;

export type LLMObsPromptAuthoringChatTemplate = Array<LLMObsPromptAuthoringItem>;

export type LLMObsPromptAuthoringMessagesTemplate = {messages: LLMObsPromptAuthoringChatTemplate};

export type LLMObsPromptTemplate = LLMObsPromptTextTemplate | LLMObsPromptChatTemplate | LLMObsPromptAuthoringMessagesTemplate;

export type LLMObsCreatePromptDataAttributes = {config?: LLMObsPromptConfig | undefined, description?: string | undefined, env_ids?: Array<string> | undefined, labels?: Array<LLMObsPromptVersionLabel> | undefined, prompt_id: string, template: LLMObsPromptTemplate, title?: string | undefined, user_version?: string | undefined};

export type LLMObsPromptType = 'prompt-templates';

export type LLMObsCreatePromptData = {attributes: LLMObsCreatePromptDataAttributes, type: LLMObsPromptType};

export type LLMObsCreatePromptRequest = {data: LLMObsCreatePromptData};

export type CreateApiApiV2LlmObsV1PromptsArgs = {body: LLMObsCreatePromptRequest};

export type CreateApiApiV2LlmObsV1PromptsOptions = {baseUrl?: string | undefined, apiKeyAuth?: string | undefined, appKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const lLMObsPromptConfig = z.record(z.string(), z.unknown());

export const lLMObsPromptDataset = z.object({id: z.string(), name: z.string().optional()});

export const lLMObsPromptResponseSource = z.enum(["registry", "code"]);

export const lLMObsCreatePromptResponseDataAttributes = z.object({author: z.string().optional(), config: lLMObsPromptConfig.optional(), created_at: z.string().optional(), created_from: z.string(), datasets: z.array(lLMObsPromptDataset).optional(), description: z.string().optional(), extracted_from: z.string().optional(), in_registry: z.boolean(), last_seen_at: z.string().optional(), last_version_created_at: z.string().optional(), ml_app: z.string().optional(), ml_apps: z.array(z.string()).optional(), num_versions: z.number().int(), prompt_id: z.string(), source: lLMObsPromptResponseSource, tags: z.array(z.string()).optional(), title: z.string().optional()});

export const lLMObsPromptType = z.literal("prompt-templates");

export const lLMObsCreatePromptResponseData = z.object({attributes: lLMObsCreatePromptResponseDataAttributes, id: z.string(), type: lLMObsPromptType});

export const lLMObsCreatePromptResponse = z.object({data: lLMObsCreatePromptResponseData});

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
};

/**
 * Create an Agent Observability prompt
 * 
 * POST /api/v2/llm-obs/v1/prompts
 * 
 * Also accepts auth: AuthZ
 */
export const createApiApiV2LlmObsV1Prompts = async (args: CreateApiApiV2LlmObsV1PromptsArgs, options?: CreateApiApiV2LlmObsV1PromptsOptions) => {
const {baseUrl = "https://api.datadoghq.com", fetch: fetchFn = fetch, apiKeyAuth, appKeyAuth} = options ?? {}

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

if (apiKeyAuth !== undefined) headers.set("DD-API-KEY", apiKeyAuth)
if (appKeyAuth !== undefined) headers.set("DD-APPLICATION-KEY", appKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/api/v2/llm-obs/v1/prompts${query.size > 0 ? `?${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(lLMObsCreatePromptResponse, await res.json())
};