import {z} from 'zod'

export type AnalyzeEntitiesRequest = {alternativeOutputFormat?: ('ALTERNATIVE_OUTPUT_FORMAT_UNSPECIFIED' | 'FHIR_BUNDLE') | undefined, documentContent?: string | undefined, licensedVocabularies?: (Array<'LICENSED_VOCABULARY_UNSPECIFIED' | 'ICD10CM' | 'SNOMEDCT_US'>) | undefined};

export type CreateApiV1ProjectsProjectsIdLocationsLocationsIdServicesNlpAnalyzeEntitiesArgs = {projectsId: string, locationsId: string, body: AnalyzeEntitiesRequest};

export type CreateApiV1ProjectsProjectsIdLocationsLocationsIdServicesNlpAnalyzeEntitiesOptions = {baseUrl?: string | undefined, Oauth2?: string | undefined, Oauth2c?: string | undefined, fetch?: typeof fetch | undefined};

export const entity = z.object({entityId: z.string().optional(), preferredTerm: z.string().optional(), vocabularyCodes: z.array(z.string()).optional()});

export const feature = z.object({confidence: z.number().optional(), value: z.string().optional()});

export const linkedEntity = z.object({entityId: z.string().optional()});

export const textSpan = z.object({beginOffset: z.number().int().optional(), content: z.string().optional()});

export const entityMention = z.object({certaintyAssessment: feature.optional(), confidence: z.number().optional(), linkedEntities: z.array(linkedEntity).optional(), mentionId: z.string().optional(), subject: feature.optional(), temporalAssessment: feature.optional(), text: textSpan.optional(), type: z.string().optional()});

export const entityMentionRelationship = z.object({confidence: z.number().optional(), objectId: z.string().optional(), subjectId: z.string().optional()});

export const analyzeEntitiesResponse = z.object({entities: z.array(entity).optional(), entityMentions: z.array(entityMention).optional(), fhirBundle: z.string().optional(), relationships: z.array(entityMentionRelationship).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
};

/**
 * Analyze heathcare entity in a document. Its response includes the recognized entity mentions and the relationships between them. AnalyzeEntities uses context aware models to detect entities.
 * 
 * POST /v1/projects/{projectsId}/locations/{locationsId}/services/nlp:analyzeEntities
 * 
 * Also accepts auth: Oauth2 + Oauth2c
 */
export const createApiV1ProjectsProjectsIdLocationsLocationsIdServicesNlpAnalyzeEntities = async (args: CreateApiV1ProjectsProjectsIdLocationsLocationsIdServicesNlpAnalyzeEntitiesArgs, options?: CreateApiV1ProjectsProjectsIdLocationsLocationsIdServicesNlpAnalyzeEntitiesOptions) => {
const {baseUrl = "https://healthcare.googleapis.com", fetch: fetchFn = fetch, Oauth2, Oauth2c} = options ?? {}

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

if (Oauth2 !== undefined) headers.set('authorization', `Bearer ${Oauth2}`)
if (Oauth2c !== undefined) headers.set('authorization', `Bearer ${Oauth2c}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/projects/${encodeURIComponent(String(args.projectsId))}/locations/${encodeURIComponent(String(args.locationsId))}/services/nlp:analyzeEntities${query.size > 0 ? `?${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(analyzeEntitiesResponse, await res.json())
};