Request data model

export type VerificationRequest = {
	id?: string;
	created_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	updated_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	package_id?: string;
	parameters?: [];
	target_url?: string;
	candidate_id?: string; // points to ATS Candidate
	profile_ip_address?: string; // XXX.XXX.XXX.XXX
	profile_name?: string;
	profile_date_of_birth?: string; // YYYY-MM-DD
	profile_addresses?: [];
	profile_gender?: 'MALE' | 'FEMALE' | 'INTERSEX' | 'TRANS' | 'NON_BINARY';
	profile_emails?: string[];
	profile_telephones?: string[];
	profile_national_identifier?: string;
	response_completed_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	response_expires_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	response_issued_at?: string-time; // datetime that identify was issued (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	response_status?: 'COMPLETED' | 'FAILED' | 'PASSED' | 'PENDING'; // Background checks and compliance checks return CLEARFLAGGED or PASS/FAIL or YES/NO
	response_score?: number; // Identity verification services provide confidence scores (e.g., 0-100), Credit checks return specific numeric scores (e.g., FICO score 300-850), Fraud prevention tools use risk scores (e.g., 1-999)
	response_redirect_url?: string; // Most modern IDV providers (like Onfido, Veriff, Jumio, ID.me). Background Check Providers, such as Checkr, GoodHire, Sterling, and HireRight. Credit bureaus and services often require direct user consent and information. This allows them to properly handle disclosures required by regulations like FCRA. Employment and Education Verification need users to confirm previous employers and schools.
	response_download_urls?: string[]; // report download
	response_details?: [];
	response_source?: string;
	raw?: any;
} 

import { z } from 'zod';

export const ZodVerificationRequest = z.object({
	id: z.string().optional(),
	created_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	updated_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	package_id: z.string().optional(),
	parameters: z.array().optional(),
	target_url: z.string().optional(),
	candidate_id: z.string().optional().describe("points to ATS Candidate"),
	profile_ip_address: z.string().optional().describe("XXX.XXX.XXX.XXX"),
	profile_name: z.string().optional(),
	profile_date_of_birth: z.string().optional().describe("YYYY-MM-DD"),
	profile_addresses: z.array().optional(),
	profile_gender: z.enum("MALE", "FEMALE", "INTERSEX", "TRANS", "NON_BINARY").optional(),
	profile_emails: z.array().optional(),
	profile_telephones: z.array().optional(),
	profile_national_identifier: z.string().optional(),
	response_completed_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	response_expires_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	response_issued_at: z.string-time().optional().describe("datetime that identify was issued (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	response_status: z.enum("COMPLETED", "FAILED", "PASSED", "PENDING").optional().describe("Background checks and compliance checks return CLEARFLAGGED or PASS/FAIL or YES/NO"),
	response_score: z.number().optional().describe("Identity verification services provide confidence scores (e.g., 0-100), Credit checks return specific numeric scores (e.g., FICO score 300-850), Fraud prevention tools use risk scores (e.g., 1-999)"),
	response_redirect_url: z.string().optional().describe("Most modern IDV providers (like Onfido, Veriff, Jumio, ID.me). Background Check Providers, such as Checkr, GoodHire, Sterling, and HireRight. Credit bureaus and services often require direct user consent and information. This allows them to properly handle disclosures required by regulations like FCRA. Employment and Education Verification need users to confirm previous employers and schools."),
	response_download_urls: z.array().optional().describe("report download"),
	response_details: z.array().optional(),
	response_source: z.string().optional(),

});

import dataclasses

@dataclasses.dataclass
class VerificationRequestProfile_gender(str, Enum):
	MALE = 'MALE'
	FEMALE = 'FEMALE'
	INTERSEX = 'INTERSEX'
	TRANS = 'TRANS'
	NON_BINARY = 'NON_BINARY'

@dataclasses.dataclass
class VerificationRequestResponse_status(str, Enum):
	COMPLETED = 'COMPLETED'
	FAILED = 'FAILED'
	PASSED = 'PASSED'
	PENDING = 'PENDING'

@dataclasses.dataclass
class VerificationRequest:
	id: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	created_at: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	updated_at: Optional[str]
	package_id: Optional[str]
	parameters: Optional[PropertyVerificationRequestParameters]
	target_url: Optional[str]
	"""points to ATS Candidate"""
	candidate_id: Optional[str]
	"""XXX.XXX.XXX.XXX"""
	profile_ip_address: Optional[str]
	profile_name: Optional[str]
	"""YYYY-MM-DD"""
	profile_date_of_birth: Optional[str]
	profile_addresses: Optional[PropertyVerificationRequestProfile_addresses]
	profile_gender: Optional[VerificationRequestProfile_gender]
	profile_emails: Optional[List[List[str]]]
	profile_telephones: Optional[List[List[str]]]
	profile_national_identifier: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	response_completed_at: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	response_expires_at: Optional[str]
	"""datetime that identify was issued (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	response_issued_at: Optional[str]
	"""Background checks and compliance checks return CLEARFLAGGED or PASS/FAIL or YES/NO"""
	response_status: Optional[VerificationRequestResponse_status]
	"""Identity verification services provide confidence scores (e.g., 0-100), Credit checks return specific numeric scores (e.g., FICO score 300-850), Fraud prevention tools use risk scores (e.g., 1-999)"""
	response_score: Optional[int]
	"""Most modern IDV providers (like Onfido, Veriff, Jumio, ID.me). Background Check Providers, such as Checkr, GoodHire, Sterling, and HireRight. Credit bureaus and services often require direct user consent and information. This allows them to properly handle disclosures required by regulations like FCRA. Employment and Education Verification need users to confirm previous employers and schools."""
	response_redirect_url: Optional[str]
	"""report download"""
	response_download_urls: Optional[List[List[str]]]
	response_details: Optional[PropertyVerificationRequestResponse_details]
	response_source: Optional[str]