import {z} from 'zod'

export type CreateApiV2PromptsSegmentationArgs = {body: {context?: ('analytics' | 'api' | 'companies' | 'company' | 'documentation' | 'enrichment' | 'landing' | 'list' | 'similarity') | undefined, force?: boolean | undefined, listId?: number | undefined, model?: ('small' | 'large') | undefined, prompt: string}};

export type CreateApiV2PromptsSegmentationOptions = {baseUrl?: string | undefined, apiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const paginationMeta = z.object({cost: z.number(), credits: z.number(), currentPage: z.number(), firstPage: z.number(), freeRequest: z.boolean(), lastPage: z.number(), maxScrollResultsReached: z.boolean().optional(), perPage: z.number(), total: z.number()});

export const segmentationCondition = z.object({attribute: z.enum(["about.businessType", "about.industries", "about.industry", "about.name", "about.totalEmployees", "about.yearFounded", "ai.search", "analytics.monthlyVisitors", "apps", "codes.naics", "codes.sic", "contacts", "domain.domain", "domain.tld", "finances.revenue", "finances.stockExchange", "locations.headquarters.city.code", "locations.headquarters.continent.code", "locations.headquarters.country.code", "locations.headquarters.county.code", "locations.headquarters.state.code", "meta.listIds", "meta.score", "meta.syncedAt", "socials", "socials.linkedin.id", "technologies.active", "technologies.categories", "urls"]), blockedOperator: z.boolean().optional(), operator: z.enum(["and", "or"]), sign: z.enum(["equals", "exactEquals", "greater", "lower", "notEquals"]), values: z.array(z.union([z.string(), z.number()]))});

export const lLMAnswer = z.object({companyId: z.number(), explanation: z.string().optional(), fields: z.array(z.object({description: z.string().optional(), key: z.string(), type: z.enum(["array|boolean", "array|number", "array|string", "boolean", "number", "string"]), values: z.array(z.string()).optional()})).optional(), grounded: z.boolean().optional(), output: z.record(z.string(), z.unknown()), question: z.string(), score: z.number()});

export const prompt = z.object({companyId: z.number().optional(), context: z.enum(["analytics", "api", "companies", "company", "documentation", "enrichment", "landing", "list", "similarity"]), createdAt: z.string().optional(), data: z.object({all: z.boolean().optional(), count: z.number().optional(), domains: z.array(z.string()).optional(), explain: z.boolean().optional(), fields: z.array(z.object({description: z.string().optional(), key: z.string(), type: z.enum(["array|boolean", "array|number", "array|string", "boolean", "number", "string"]), values: z.array(z.string()).optional()})).optional(), model: z.enum(["small", "large"]).optional(), names: z.array(z.string()).optional(), query: z.array(segmentationCondition).optional(), question: z.string().optional(), segmentation: z.boolean().optional()}).optional(), feature: z.enum(["ask", "cleanup", "enrich", "product", "search", "similar"]).optional(), hits: z.number().optional(), id: z.number(), model: z.enum(["small", "large"]).optional(), prompt: z.string(), promptKey: z.string(), response: z.union([z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), action: z.object({cost: z.number().optional(), data: z.object({answer: lLMAnswer, domains: z.array(z.string()).optional(), fields: z.array(z.object({description: z.string().optional(), key: z.string(), type: z.enum(["array|boolean", "array|number", "array|string", "boolean", "number", "string"]), values: z.array(z.string()).optional()})), job: z.literal("ask-list"), query: z.array(segmentationCondition).optional(), question: z.string()}).optional(), listId: z.number().optional(), promptId: z.number(), status: z.literal("pending"), type: z.literal("jobs:request")}).optional(), answer: z.object({explanation: z.string().optional(), output: z.record(z.string(), z.unknown()), score: z.number()}).optional()}), z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), action: z.object({cost: z.literal(0).optional(), data: z.object({domains: z.array(z.string()).optional(), job: z.literal("cleanup-list"), query: z.array(segmentationCondition).optional()}).optional(), listId: z.number().optional(), promptId: z.number(), status: z.literal("pending"), type: z.literal("jobs:request")}).optional()}), z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), action: z.object({cost: z.number().optional(), data: z.object({domains: z.array(z.string()).optional(), job: z.enum(["enrich-companies", "enrich-list"]), query: z.array(segmentationCondition).optional()}), listId: z.number().optional(), promptId: z.number(), status: z.literal("pending"), type: z.literal("jobs:request")}).optional()}), z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), domains: z.array(z.string()).optional(), listId: z.number().optional(), query: z.array(segmentationCondition).optional()}), z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), domains: z.array(z.string()).optional()})]).optional(), updatedAt: z.string().optional()});

export const createApiV2PromptsSegmentationResponse = z.object({meta: paginationMeta, prompt: prompt, response: z.object({all: z.boolean().optional(), cost: z.number().optional(), count: z.number().optional(), domain: z.string().optional(), error: z.string().optional(), domains: z.array(z.string()).optional(), listId: z.number().optional(), query: z.array(segmentationCondition).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
};

/**
 * Convert a query to a segmentation.
 * 
 * POST /v2/prompts/segmentation
 */
export const createApiV2PromptsSegmentation = async (args: CreateApiV2PromptsSegmentationArgs, options?: CreateApiV2PromptsSegmentationOptions) => {
const {baseUrl = "https://api.thecompaniesapi.com", 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", apiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/v2/prompts/segmentation${query.size > 0 ? `?${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(createApiV2PromptsSegmentationResponse, await res.json())
};