import {z} from 'zod'

export type CustomSummary = {maxNumberOfSentences?: number | undefined};

export type Document = {content: unknown, lang?: string | undefined, format?: ('plain text' | 'plain text with title') | undefined, documentType?: ('organization bio' | 'person bio' | 'news article' | 'address' | 'discussion') | undefined, customSummary?: CustomSummary | undefined};

export type DocumentArray = Array<Document>;

export type CreateApiV1Args = {fields?: (Array<'entities' | 'sentiment' | 'facts' | 'records' | 'categories' | 'sentences' | 'language' | 'summary'>) | undefined, body: DocumentArray};

export type CreateApiV1Options = {baseUrl?: string | undefined, DiffbotToken?: string | undefined, fetch?: typeof fetch | undefined};

export const entityType = z.object({name: z.string().optional(), diffbotUri: z.string().optional(), dbpediaUri: z.string().optional()});

export const mention = z.object({text: z.string().optional(), beginOffset: z.number().int().optional(), endOffset: z.number().int().optional(), isPronoun: z.boolean().optional(), confidence: z.number().optional()});

export const location = z.object({latitude: z.number().optional(), longitude: z.number().optional(), precision: z.number().optional()});

export const entityWithMentions = z.object({name: z.string().optional(), diffbotUri: z.string().optional(), confidence: z.number().optional(), salience: z.number().optional(), sentiment: z.number().optional(), allUris: z.array(z.string()).optional(), allTypes: z.array(entityType).optional(), mentions: z.array(mention).optional(), location: location.optional()});

export const entity = z.object({name: z.string().optional(), diffbotUri: z.string().optional(), confidence: z.number().optional(), allUris: z.array(z.string()).optional(), allTypes: z.array(entityType).optional(), isCustom: z.boolean().optional(), entityIndex: z.number().int().optional()});

export const property = z.object({name: z.string().optional(), diffbotUri: z.string().optional(), description: z.string().optional()});

export const qualifierValue = z.object({name: z.string().optional(), diffbotUri: z.string().optional()});

export const qualifier = z.object({property: property.optional(), value: qualifierValue.optional(), confidence: z.number().optional()});

export const evidence = z.object({passage: z.string().optional(), entityMentions: z.array(mention).optional(), valueMentions: z.array(mention).optional()});

export const fact = z.object({humanReadable: z.string().optional(), entity: entity.optional(), property: property.optional(), value: entity.optional(), qualifiers: z.array(qualifier).optional(), confidence: z.number().optional(), evidence: z.array(evidence).optional()});

export const category = z.object({id: z.string().optional(), name: z.string().optional(), path: z.string().optional(), confidence: z.number().optional(), isPrimary: z.boolean().optional()});

export const categorization = z.object({iabv1: z.array(category).optional(), iabv2: z.array(category).optional(), diffbot: z.array(category).optional()});

export const span = z.object({beginOffset: z.number().int().optional(), endOffset: z.number().int().optional()});

export const naturalLanguageResponse = z.object({errors: z.array(z.string()).optional(), entities: z.array(entityWithMentions).optional(), sentiment: z.number().optional(), facts: z.array(fact).optional(), records: z.array(z.object({})).optional(), categories: categorization.optional(), sentences: z.array(span).optional(), language: z.string().optional(), summary: z.string().optional()});

export const naturalLanguageResponseArray = z.array(naturalLanguageResponse);

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
};

/**
 * Process Text
 * 
 * POST /v1/
 */
export const createApiV1 = async (args: CreateApiV1Args, options?: CreateApiV1Options) => {
const {baseUrl = "https://llm.diffbot.com/api/v1/web_search", fetch: fetchFn = fetch, DiffbotToken} = options ?? {}

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

if (args.fields != null) query.append("fields", args.fields.join(','))
if (DiffbotToken !== undefined) query.set("token", DiffbotToken)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/${query.size > 0 ? `?${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(naturalLanguageResponseArray, await res.json())
};