import {z} from 'zod'

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

export type RunOwnershipFilter = {combinator?: FilterCombinator | undefined, creator_ids?: Array<string> | undefined, project_ids?: Array<string> | undefined, starred_by_me?: boolean | undefined};

export type TagFilter = {combinator?: FilterCombinator | undefined, values?: Array<string> | 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 ContentSearchOperator = 'contains' | 'equals';

export type SystemNameFilter = {value: string, operator?: ContentSearchOperator | undefined};

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

export type SystemParamOperator = 'eq' | 'contains' | 'gt' | 'gte' | 'lt' | 'lte';

export type SystemParamFilter = {key: string, operator: SystemParamOperator, value: number | string | boolean};

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

export type SystemFilter = {name?: (SystemNameFilterGroup | null) | undefined, params?: (SystemParamFilterGroup | null) | undefined};

export type MetadataFilter = {key: string, operator: SystemParamOperator, value: number | string | boolean};

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

export type EvaluationRunFilterInput = {run_ids?: (Array<string> | null) | undefined, evaluation_ids?: (Array<string> | null) | undefined, creator_ids?: (Array<string> | null) | undefined, project_ids?: (Array<string> | null) | undefined, ownership?: (RunOwnershipFilter | null) | undefined, tags?: (TagFilter | null) | undefined, score_filters?: (ScoreFilterGroup | null) | undefined, goal_filters?: (GoalStatusFilterGroup | null) | undefined, system?: (SystemFilter | null) | undefined, metadata?: (MetadataFilterGroup | null) | undefined};

export type CreateApiV1ObservabilityEvaluationsV2EvaluationSlugRunsSearchArgs = {evaluation_slug: string, page_size?: number | undefined, page?: number | undefined, body: EvaluationRunFilterInput | null};

export type CreateApiV1ObservabilityEvaluationsV2EvaluationSlugRunsSearchOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const jsonValue = z.unknown();

export const goalSpec = z.object({operator: z.string().nullable().optional(), value: jsonValue.nullable().optional(), min: z.number().nullable().optional(), max: z.number().nullable().optional(), values: z.array(jsonValue).nullable().optional(), metric: z.string().nullable().optional()});

export const simpleNumericStatisticSpec = z.object({kind: z.enum(["avg", "sum", "min", "max", "std", "count"]), goal: goalSpec.nullable().optional()});

export const percentileStatisticSpec = z.object({kind: z.literal("percentile").optional(), percentile: z.union([z.number(), z.number().int()]), goal: goalSpec.nullable().optional()});

export const classificationStatisticSpec = z.object({kind: z.enum(["precision", "recall", "f1"]), positive_label: z.string().nullable().optional(), average: z.enum(["macro", "micro", "weighted"]).nullable().optional(), expected_key: z.string().optional(), labels: z.array(z.string()).nullable().optional(), goal: goalSpec.nullable().optional()});

export const evaluatorV2 = z.object({id: z.string(), created_at: z.string(), updated_at: z.string(), deleted_at: z.string().nullable(), name: z.string(), description: z.string().nullable(), tags: z.array(z.string()), num_scores: z.number().int(), goal: goalSpec.nullable().optional(), aggregate_goal: goalSpec.nullable().optional(), statistics: z.array(z.discriminatedUnion("kind", [simpleNumericStatisticSpec, percentileStatisticSpec, classificationStatisticSpec])).nullable().optional(), weight: z.number().optional(), direction: z.enum(["maximize", "minimize"]).nullable().optional(), min_value: z.number().nullable().optional(), max_value: z.number().nullable().optional()});

export const systemV2 = z.object({id: z.string(), created_at: z.string(), updated_at: z.string(), deleted_at: z.string().nullable(), name: z.string(), params: z.record(z.string(), z.union([z.string(), z.number().int(), z.number(), z.boolean()]))});

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 evaluationRunScoreV2 = z.object({id: z.string(), created_at: z.string(), updated_at: z.string(), deleted_at: z.string().nullable(), value: jsonValue.nullable(), rationale: z.string().nullable().optional(), metadata_: z.record(z.string(), jsonValue), status: z.string(), error: z.string().nullable().optional()});

export const runOptimizationRef = z.object({optimization_id: z.string(), name: z.string()});

export const evaluationRunV2Response = z.object({id: z.string(), created_at: z.string(), updated_at: z.string(), deleted_at: z.string().nullable(), creator_id: z.string(), evaluation_id: z.string(), name: z.string(), description: z.string().nullable(), tags: z.array(z.string()), metadata_: z.record(z.string(), jsonValue), num_generations: z.number().int(), run_info: z.record(z.string(), jsonValue).nullable().optional(), status: z.string().optional(), dataset_id: z.string().nullable().optional(), evaluators: z.array(evaluatorV2), run_evaluators: z.array(evaluatorV2).optional(), system: systemV2.nullable().optional(), statistics: z.record(z.string(), evaluatorStatistics).optional(), goal_results: z.record(z.string(), goalResult).optional(), passed: z.boolean().nullable().optional(), run_scores: z.record(z.string(), evaluationRunScoreV2).optional(), optimization: runOptimizationRef.nullable().optional()});

export const paginatedResultEvaluationRunV2Response = z.object({results: z.array(evaluationRunV2Response).optional(), count: z.number().int(), next: z.string().nullable().optional(), previous: z.string().nullable().optional()});

export const listEvaluationRunsResponse = z.object({runs: paginatedResultEvaluationRunV2Response});

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
};

/**
 * Search evaluation runs with filters
 * 
 * POST /v1/observability/evaluations_v2/{evaluation_slug}/runs/search
 */
export const createApiV1ObservabilityEvaluationsV2EvaluationSlugRunsSearch = async (args: CreateApiV1ObservabilityEvaluationsV2EvaluationSlugRunsSearchArgs, options?: CreateApiV1ObservabilityEvaluationsV2EvaluationSlugRunsSearchOptions) => {
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 (args.page_size != null) query.append("page_size", String(args.page_size))
if (args.page != null) query.append("page", String(args.page))
if (ApiKey !== undefined) headers.set('authorization', `Bearer ${ApiKey}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/observability/evaluations_v2/${encodeURIComponent(String(args.evaluation_slug))}/runs/search${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(listEvaluationRunsResponse, await res.json())
};