import {z} from 'zod'

export type FilterCombinator = 'and' | 'or';

export type ContentSearchOperator = 'contains' | 'equals';

export type ContentSearchFilter = {path?: (string | null) | undefined, value: string, operator?: ContentSearchOperator | undefined};

export type ContentSearchFilterGroup = {combinator?: FilterCombinator | undefined, filters?: Array<ContentSearchFilter> | undefined};

export type ScoreOperator = 'gt' | 'gte' | 'lt' | 'lte' | 'eq';

export type ScoreFilter = {evaluator_name: string, metric: string, operator: ScoreOperator, value: number | string};

export type ScoreFilterGroup = {combinator?: FilterCombinator | undefined, filters?: Array<ScoreFilter> | undefined};

export type GoalStatus = 'passed' | 'failed' | 'not_evaluated';

export type GoalStatusFilter = {evaluator_name?: (string | null) | undefined, values: Array<GoalStatus>};

export type GoalStatusFilterGroup = {combinator?: FilterCombinator | undefined, filters?: Array<GoalStatusFilter> | undefined};

export type RecordSortField = 'created_at';

export type SortDirection = 'asc' | 'desc';

export type FieldSortInput = {kind?: 'field' | undefined, field: RecordSortField, direction?: SortDirection | undefined};

export type NumericScoreMetric = 'avg' | 'min' | 'max' | 'std';

export type ScoreSortInput = {kind?: 'score' | undefined, evaluator_name: string, metric?: NumericScoreMetric | undefined, direction?: SortDirection | undefined};

export type EvaluationRunRecordFilterInput = {input_filters?: (ContentSearchFilterGroup | null) | undefined, output_filters?: (ContentSearchFilterGroup | null) | undefined, score_filters?: (ScoreFilterGroup | null) | undefined, goal_filters?: (GoalStatusFilterGroup | null) | undefined, sort?: (FieldSortInput | ScoreSortInput | null) | undefined};

export type CreateApiV1ObservabilityEvaluationRunsV2RunIdStatisticsComputeArgs = {run_id: string, body: EvaluationRunRecordFilterInput | null};

export type CreateApiV1ObservabilityEvaluationRunsV2RunIdStatisticsComputeOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const scalarStatisticValue = z.object({type: z.literal("scalar").optional(), id: z.string(), value: z.number().nullable().optional()});

export const numericStatistics = z.object({type: z.literal("numeric").optional(), values: z.array(scalarStatisticValue).nullable().optional(), sample_count: z.number().int().optional(), avg: z.number().nullable().optional(), min: z.number().nullable().optional(), max: z.number().nullable().optional(), std: z.number().nullable().optional(), count: z.number().int().optional()});

export const confusionMatrix = z.object({labels: z.array(z.string()), matrix: z.array(z.array(z.number().int()))});

export const categoricalStatistics = z.object({type: z.literal("categorical").optional(), frequencies: z.record(z.string(), z.number().int()), mode: z.array(z.string()), count: z.number().int(), values: z.array(scalarStatisticValue).nullable().optional(), excluded_count: z.number().int().optional(), confusion_matrix: confusionMatrix.nullable().optional()});

export const unsupportedStatistics = z.object({type: z.literal("unsupported").optional(), count: z.number().int()});

export const evaluatorStatistics = z.union([numericStatistics, categoricalStatistics, unsupportedStatistics]);

export const goalResultItem = z.object({metric: z.string(), operator: z.string(), target: z.number().nullable().optional(), target_min: z.number().nullable().optional(), target_max: z.number().nullable().optional(), actual: z.number(), passed: z.boolean(), direction: z.enum(["higher_is_better", "lower_is_better"]).nullable().optional()});

export const goalResult = z.object({passed: z.boolean().nullable(), results: z.array(goalResultItem)});

export const runStatisticsResponse = z.object({run_id: z.string(), statistics: z.record(z.string(), evaluatorStatistics), goal_results: z.record(z.string(), goalResult).optional(), passed: z.boolean().nullable().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
};

/**
 * Compute statistics for a specific evaluation run with optional filters
 * 
 * POST /v1/observability/evaluation-runs_v2/{run_id}/statistics/compute
 */
export const createApiV1ObservabilityEvaluationRunsV2RunIdStatisticsCompute = async (args: CreateApiV1ObservabilityEvaluationRunsV2RunIdStatisticsComputeArgs, options?: CreateApiV1ObservabilityEvaluationRunsV2RunIdStatisticsComputeOptions) => {
const {baseUrl = "https://api.mistral.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/observability/evaluation-runs_v2/${encodeURIComponent(String(args.run_id))}/statistics/compute${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(runStatisticsResponse, await res.json())
};