faj-cli/dist/models/schemas.js

FAJ - A powerful CLI resume builder with AI enhancement and multi-format export

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.ConfigSchema = exports.AIConfigSchema = exports.JobRequirementSchema = exports.SkillSchema = exports.RecruiterProfileSchema = exports.DeveloperProfileSchema = exports.UserProfileSchema = exports.AIProviderSchema = exports.UserRoleSchema = void 0;
const zod_1 = require("zod");
// Base schemas
exports.UserRoleSchema = zod_1.z.enum(['developer', 'recruiter']);
exports.AIProviderSchema = zod_1.z.enum(['openai', 'gemini', 'anthropic', 'azure', 'custom']);
exports.UserProfileSchema = zod_1.z.object({
    id: zod_1.z.string(),
    role: exports.UserRoleSchema,
    name: zod_1.z.string().min(1),
    email: zod_1.z.string().email(),
    createdAt: zod_1.z.date(),
    updatedAt: zod_1.z.date(),
});
exports.DeveloperProfileSchema = exports.UserProfileSchema.extend({
    role: zod_1.z.literal('developer'),
    skills: zod_1.z.array(zod_1.z.string()),
    experience: zod_1.z.number().min(0),
    location: zod_1.z.string().optional(),
    resumeHash: zod_1.z.string().optional(),
    githubUsername: zod_1.z.string().optional(),
    linkedinUrl: zod_1.z.string().url().optional().or(zod_1.z.string()),
    portfolioUrl: zod_1.z.string().url().optional().or(zod_1.z.string()),
    phone: zod_1.z.string().optional(),
    birthDate: zod_1.z.string().optional(),
    nationality: zod_1.z.string().optional(),
    languages: zod_1.z.array(zod_1.z.string()).optional(),
    education: zod_1.z.array(zod_1.z.object({
        degree: zod_1.z.string(),
        field: zod_1.z.string(),
        institution: zod_1.z.string(),
        location: zod_1.z.string().optional(),
        startDate: zod_1.z.string(),
        endDate: zod_1.z.string().optional(),
        current: zod_1.z.boolean().default(false),
        gpa: zod_1.z.number().optional(),
        highlights: zod_1.z.array(zod_1.z.string()).optional(),
    })).optional(),
    careerObjective: zod_1.z.string().optional(),
    personalSummary: zod_1.z.string().optional(),
});
exports.RecruiterProfileSchema = exports.UserProfileSchema.extend({
    role: zod_1.z.literal('recruiter'),
    company: zod_1.z.string().min(1),
    position: zod_1.z.string().optional(),
    companyUrl: zod_1.z.string().url().optional(),
});
// Skill schema
exports.SkillSchema = zod_1.z.object({
    name: zod_1.z.string(),
    level: zod_1.z.enum(['beginner', 'intermediate', 'advanced', 'expert']),
    yearsOfExperience: zod_1.z.number().optional(),
    category: zod_1.z.enum(['language', 'framework', 'tool', 'database', 'other']),
});
// Job requirement schema
exports.JobRequirementSchema = zod_1.z.object({
    id: zod_1.z.string(),
    recruiterId: zod_1.z.string(),
    title: zod_1.z.string().min(1),
    company: zod_1.z.string().min(1),
    location: zod_1.z.string().optional(),
    remote: zod_1.z.boolean(),
    type: zod_1.z.enum(['full-time', 'part-time', 'contract', 'internship']),
    description: zod_1.z.string().min(10),
    requirements: zod_1.z.object({
        skills: zod_1.z.array(zod_1.z.string()),
        experience: zod_1.z.number().min(0),
        education: zod_1.z.string().optional(),
        certifications: zod_1.z.array(zod_1.z.string()).optional(),
    }),
    preferences: zod_1.z.object({
        skills: zod_1.z.array(zod_1.z.string()).optional(),
        experience: zod_1.z.number().optional(),
    }).optional(),
    salary: zod_1.z.object({
        min: zod_1.z.number().optional(),
        max: zod_1.z.number().optional(),
        currency: zod_1.z.string().default('USD'),
        period: zod_1.z.enum(['hourly', 'monthly', 'yearly']),
    }).optional(),
    benefits: zod_1.z.array(zod_1.z.string()).optional(),
    postedAt: zod_1.z.date(),
    expiresAt: zod_1.z.date().optional(),
    status: zod_1.z.enum(['active', 'closed', 'draft']),
});
// AI configuration schema
exports.AIConfigSchema = zod_1.z.object({
    provider: exports.AIProviderSchema,
    apiKey: zod_1.z.string().optional(),
    endpoint: zod_1.z.string().url().optional(),
    model: zod_1.z.string().optional(),
    maxTokens: zod_1.z.number().positive().optional(),
    temperature: zod_1.z.number().min(0).max(2).optional(),
    fallbacks: zod_1.z.array(exports.AIProviderSchema).optional(),
});
// Main configuration schema
exports.ConfigSchema = zod_1.z.object({
    version: zod_1.z.string(),
    profile: zod_1.z.union([exports.UserProfileSchema, exports.DeveloperProfileSchema, exports.RecruiterProfileSchema]).optional(),
    ai: exports.AIConfigSchema.optional(),
    storage: zod_1.z.object({
        ipfs: zod_1.z.object({
            gateway: zod_1.z.string().url(),
            apiEndpoint: zod_1.z.string().optional(),
        }).optional(),
        local: zod_1.z.object({
            path: zod_1.z.string(),
        }).optional(),
    }).optional(),
    network: zod_1.z.object({
        peers: zod_1.z.array(zod_1.z.string()).optional(),
        bootstrap: zod_1.z.boolean().optional(),
    }).optional(),
    notifications: zod_1.z.object({
        email: zod_1.z.boolean().optional(),
        webhook: zod_1.z.string().url().optional(),
    }).optional(),
});
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