import {z} from 'zod'

export type RawDataFilterCategory = 'training' | 'testing' | 'validation' | 'post-processing' | 'all';

export type GetApiApiProjectIdRawDataArgs = {projectId: number, category: RawDataFilterCategory, limit?: number | undefined, offset?: number | undefined, excludeSensors?: boolean | undefined, labels?: string | undefined, filename?: string | undefined, maxLength?: number | undefined, minLength?: number | undefined, minFrequency?: number | undefined, maxFrequency?: number | undefined, signatureValidity?: ('both' | 'valid' | 'invalid') | undefined, includeDisabled?: ('both' | 'enabled' | 'disabled') | undefined, minLabel?: number | undefined, maxLabel?: number | undefined, search?: string | undefined, proposedActionsJobId?: number | undefined, truncateStructuredLabels?: boolean | undefined, sortBy?: ('id-desc' | 'random') | undefined, dataType?: ('audio' | 'image') | undefined, minId?: number | undefined, maxId?: number | undefined, metadata?: string | undefined, minDate?: string | undefined, maxDate?: string | undefined, datasetVersionId?: number | undefined};

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

export const rawDataCategory = z.enum(["training", "testing", "validation", "post-processing"]);

export const sensor = z.object({index: z.number().int(), name: z.string(), units: z.string()});

export const boundingBox = z.object({label: z.string(), x: z.number().int(), y: z.number().int(), width: z.number().int(), height: z.number().int()});

export const projectLabelingMethod = z.enum(["single_label", "object_detection", "label_map"]);

export const sampleLabelMapLabels = z.object({type: z.literal("key-values"), labels: z.record(z.string(), z.string())});

export const structuredLabel = z.object({startIndex: z.number().int(), endIndex: z.number().int(), label: z.string(), labelMap: sampleLabelMapLabels.optional()});

export const lastUpdatedByUser = z.object({type: z.literal("user"), id: z.number().int()});

export const lastUpdatedByProjectApiKey = z.object({type: z.literal("projectApiKey"), id: z.number().int()});

export const lastUpdatedByOAuthClient = z.object({type: z.literal("oauthClient"), oauthClientId: z.string(), userId: z.number().int().optional()});

export const lastUpdatedByDatasetVersionRestore = z.object({type: z.literal("datasetVersionRestore"), datasetVersionId: z.number().int(), groupKey: z.string(), actor: z.union([z.object({type: z.literal("user"), id: z.number().int()}), z.object({type: z.literal("projectApiKey"), id: z.number().int()}), z.object({type: z.literal("oauthClient"), oauthClientId: z.string(), userId: z.number().int().optional()})]).optional()});

export const sampleDatastream = z.object({index: z.number().int(), chartType: z.enum(["chart", "image", "video", "table"]), intervalMs: z.number(), frequencyHz: z.number(), sensors: z.array(sensor), valuesCount: z.number().int(), imageDimensions: z.object({width: z.number().int(), height: z.number().int()}).optional(), totalLengthMs: z.number()});

export const sample = z.object({id: z.number().int(), filename: z.string(), signatureValidate: z.boolean(), signatureMethod: z.string().optional(), signatureKey: z.string().optional(), created: z.string(), lastModified: z.string(), category: rawDataCategory, coldstorageFilename: z.string(), label: z.string(), intervalMs: z.number(), frequency: z.number(), originalIntervalMs: z.number(), originalFrequency: z.number(), deviceName: z.string().optional(), deviceType: z.string(), sensors: z.array(sensor), valuesCount: z.number().int(), totalLengthMs: z.number().optional(), added: z.string(), boundingBoxes: z.array(boundingBox), boundingBoxesType: z.enum(["object_detection", "constrained_object_detection"]), chartType: z.enum(["chart", "image", "video", "table"]), thumbnailVideo: z.string().optional(), thumbnailVideoFull: z.string().optional(), isDisabled: z.boolean(), isProcessing: z.boolean(), processingJobId: z.number().int().optional(), processingError: z.boolean(), processingErrorString: z.string().optional(), isCropped: z.boolean(), metadata: z.record(z.string(), z.string()).optional(), projectId: z.number().int(), projectOwnerName: z.string().optional(), projectName: z.string().optional(), projectLabelingMethod: projectLabelingMethod.optional(), sha256Hash: z.string(), structuredLabels: z.array(structuredLabel).optional(), structuredLabelsList: z.array(z.string()).optional(), createdBySyntheticDataJobId: z.number().int().optional(), imageDimensions: z.object({width: z.number().int(), height: z.number().int()}).optional(), videoUrl: z.string().optional(), videoUrlFull: z.string().optional(), labelMap: sampleLabelMapLabels.optional(), lastUpdatedBy: z.discriminatedUnion("type", [lastUpdatedByUser, lastUpdatedByProjectApiKey, lastUpdatedByOAuthClient, lastUpdatedByDatasetVersionRestore]).optional(), datastreams: z.array(sampleDatastream)});

export const listSamplesResponse = z.object({success: z.boolean(), error: z.string().optional(), samples: z.array(sample), totalCount: z.number().int()});

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 samples
 * 
 * GET /api/{projectId}/raw-data
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const getApiApiProjectIdRawData = async (args: GetApiApiProjectIdRawDataArgs, options?: GetApiApiProjectIdRawDataOptions) => {
const {baseUrl = "https://studio.edgeimpulse.com/v1", fetch: fetchFn = fetch, ApiKeyAuthentication} = options ?? {}

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

if (args.category != null) query.append("category", String(args.category))
if (args.limit != null) query.append("limit", String(args.limit))
if (args.offset != null) query.append("offset", String(args.offset))
if (args.excludeSensors != null) query.append("excludeSensors", String(args.excludeSensors))
if (args.labels != null) query.append("labels", String(args.labels))
if (args.filename != null) query.append("filename", String(args.filename))
if (args.maxLength != null) query.append("maxLength", String(args.maxLength))
if (args.minLength != null) query.append("minLength", String(args.minLength))
if (args.minFrequency != null) query.append("minFrequency", String(args.minFrequency))
if (args.maxFrequency != null) query.append("maxFrequency", String(args.maxFrequency))
if (args.signatureValidity != null) query.append("signatureValidity", String(args.signatureValidity))
if (args.includeDisabled != null) query.append("includeDisabled", String(args.includeDisabled))
if (args.minLabel != null) query.append("minLabel", String(args.minLabel))
if (args.maxLabel != null) query.append("maxLabel", String(args.maxLabel))
if (args.search != null) query.append("search", String(args.search))
if (args.proposedActionsJobId != null) query.append("proposedActionsJobId", String(args.proposedActionsJobId))
if (args.truncateStructuredLabels != null) query.append("truncateStructuredLabels", String(args.truncateStructuredLabels))
if (args.sortBy != null) query.append("sortBy", String(args.sortBy))
if (args.dataType != null) query.append("dataType", String(args.dataType))
if (args.minId != null) query.append("minId", String(args.minId))
if (args.maxId != null) query.append("maxId", String(args.maxId))
if (args.metadata != null) query.append("metadata", String(args.metadata))
if (args.minDate != null) query.append("minDate", String(args.minDate))
if (args.maxDate != null) query.append("maxDate", String(args.maxDate))
if (args.datasetVersionId != null) query.append("datasetVersionId", String(args.datasetVersionId))
if (ApiKeyAuthentication !== undefined) headers.set("x-api-key", ApiKeyAuthentication)

const url = `${baseUrl.replace(/\/+$/, '')}/api/${encodeURIComponent(String(args.projectId))}/raw-data${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(listSamplesResponse, await res.json())
};