import {z} from 'zod'

export type GetApiV1TracesOptions = {baseUrl?: string | undefined, fetch?: typeof fetch | undefined};

export const toolCallData = z.object({name: z.string(), description: z.string(), inputParameters: z.record(z.string(), z.unknown()).optional(), output: z.string().optional(), reasoning: z.string().optional()});

export const baseSpan = z.object({uuid: z.string(), name: z.string(), input: z.string().optional(), output: z.string().optional(), error: z.string().optional(), status: z.enum(["SUCCESS", "ERRORED"]).optional(), startTime: z.string(), endTime: z.string(), parentUuid: z.string().optional(), metadata: z.record(z.string(), z.unknown()).optional(), metricCollection: z.string().optional(), type: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), integration: z.string().optional()});

export const llmSpan = z.object({uuid: z.string().optional(), name: z.string().optional(), input: z.string().optional(), output: z.string().optional(), error: z.string().optional(), status: z.enum(["SUCCESS", "ERRORED"]).optional(), startTime: z.string().optional(), endTime: z.string().optional(), parentUuid: z.string().optional(), metadata: z.record(z.string(), z.unknown()).optional(), metricCollection: z.string().optional(), type: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), model: z.string(), provider: z.string().optional(), integration: z.string().optional(), promptAlias: z.string().optional(), promptCommitHash: z.string().optional(), promptLabel: z.string().optional(), promptVersion: z.string().optional(), costPerInputToken: z.number().optional(), costPerOutputToken: z.number().optional(), inputTokenCount: z.number().int().optional(), outputTokenCount: z.number().int().optional()});

export const retrieverSpan = z.object({uuid: z.string().optional(), name: z.string().optional(), input: z.string().optional(), output: z.string().optional(), error: z.string().optional(), status: z.enum(["SUCCESS", "ERRORED"]).optional(), startTime: z.string().optional(), endTime: z.string().optional(), parentUuid: z.string().optional(), metadata: z.record(z.string(), z.unknown()).optional(), metricCollection: z.string().optional(), type: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), integration: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), embedder: z.string(), topK: z.number().int().optional(), chunkSize: z.number().int().optional()});

export const toolSpan = z.object({uuid: z.string().optional(), name: z.string().optional(), input: z.string().optional(), output: z.string().optional(), error: z.string().optional(), integration: z.string().optional(), status: z.enum(["SUCCESS", "ERRORED"]).optional(), startTime: z.string().optional(), endTime: z.string().optional(), parentUuid: z.string().optional(), metadata: z.record(z.string(), z.unknown()).optional(), metricCollection: z.string().optional(), type: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), description: z.string().optional()});

export const agentSpan = z.object({uuid: z.string().optional(), name: z.string().optional(), input: z.string().optional(), output: z.string().optional(), integration: z.string().optional(), error: z.string().optional(), status: z.enum(["SUCCESS", "ERRORED"]).optional(), startTime: z.string().optional(), endTime: z.string().optional(), parentUuid: z.string().optional(), metadata: z.record(z.string(), z.unknown()).optional(), metricCollection: z.string().optional(), type: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), availableTools: z.array(z.string()).optional(), agentHandoffs: z.array(z.string()).optional()});

export const traceAttachment = z.object({url: z.string().optional(), dataBase64: z.string().optional(), mimeType: z.string().optional()});

export const trace = z.object({uuid: z.string(), name: z.string().optional(), input: z.string().optional(), output: z.string().optional(), startTime: z.string(), endTime: z.string(), environment: z.enum(["production", "development", "staging", "testing"]).optional(), metadata: z.record(z.string(), z.unknown()).optional(), tags: z.array(z.string()).optional(), spans: z.array(z.union([baseSpan, llmSpan, retrieverSpan, toolSpan, agentSpan])).optional(), threadId: z.string().optional(), thread: z.object({id: z.string().optional(), metadata: z.record(z.string(), z.unknown()).nullable().optional(), tags: z.array(z.string()).nullable().optional()}).optional(), userId: z.string().optional(), metricCollection: z.string().optional(), testRunId: z.string().optional(), retrievalContext: z.array(z.string()).optional(), context: z.array(z.string()).optional(), expectedOutput: z.string().optional(), toolsCalled: z.array(toolCallData).optional(), expectedTools: z.array(toolCallData).optional(), attachments: z.record(z.string(), traceAttachment).optional()});

export const getTraceResponse = z.object({success: z.boolean(), data: z.object({traces: z.array(trace), totalTraces: z.number().int()}), deprecated: 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
};

/**
 * List Traces
 * 
 * GET /v1/traces
 */
export const getApiV1Traces = async (options?: GetApiV1TracesOptions) => {
const {baseUrl = "https://api.confident-ai.com", fetch: fetchFn = fetch} = options ?? {}

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/traces${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

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

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