@regacy-innovation/shared-services/dist/dto/create-ai-search.dto.js

Shared services for NestJS microservices

"use strict";
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
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    return c > 3 && r && Object.defineProperty(target, key, r), r;
};
var __metadata = (this && this.__metadata) || function (k, v) {
    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.CreateAISearchDto = exports.Prompt = exports.Filter = exports.JOB_TYPE_VALUES = exports.JOB_TYPE = exports.AI_AGENT_VALUES = exports.AI_AGENTS = void 0;
const class_transformer_1 = require("class-transformer");
const class_validator_1 = require("class-validator");
exports.AI_AGENTS = {
    chatGPT: 'chatGPT',
    claude: 'claude',
    gemini: 'gemini',
    exa: 'exa',
    perplexity: 'perplexity',
    deepSeek: 'deepSeek',
    db: 'db',
    grok: 'grok',
};
exports.AI_AGENT_VALUES = Object.values(exports.AI_AGENTS);
exports.JOB_TYPE = {
    DUNE_AI_SEARCH: 'DUNE_AI_SEARCH',
};
exports.JOB_TYPE_VALUES = Object.values(exports.JOB_TYPE);
class Filter {
}
exports.Filter = Filter;
__decorate([
    (0, class_validator_1.IsInt)(),
    (0, class_validator_1.Min)(1900) // Adjust the minimum year as needed
    ,
    (0, class_validator_1.Max)(new Date().getFullYear() + 1) // Ensure the year is within a valid range
    ,
    __metadata("design:type", Number)
], Filter.prototype, "establishYearMin", void 0);
__decorate([
    (0, class_validator_1.IsInt)(),
    (0, class_validator_1.Min)(1900),
    (0, class_validator_1.Max)(new Date().getFullYear() + 1),
    __metadata("design:type", Number)
], Filter.prototype, "establishYearMax", void 0);
__decorate([
    (0, class_validator_1.IsArray)(),
    (0, class_validator_1.IsOptional)() // If excludeFundingStages is optional
    ,
    __metadata("design:type", Array)
], Filter.prototype, "excludeFundingStages", void 0);
class Prompt {
}
exports.Prompt = Prompt;
__decorate([
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsOptional)(),
    __metadata("design:type", String)
], Prompt.prototype, "name", void 0);
__decorate([
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    __metadata("design:type", String)
], Prompt.prototype, "prompt", void 0);
class CreateAISearchDto {
}
exports.CreateAISearchDto = CreateAISearchDto;
__decorate([
    (0, class_validator_1.IsString)(),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "name", void 0);
__decorate([
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "jwt", void 0);
__decorate([
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    (0, class_validator_1.IsMongoId)(),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "userId", void 0);
__decorate([
    (0, class_validator_1.IsMongoId)(),
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "projectId", void 0);
__decorate([
    (0, class_validator_1.IsMongoId)(),
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "teamId", void 0);
__decorate([
    (0, class_validator_1.IsArray)(),
    (0, class_validator_1.ArrayNotEmpty)(),
    __metadata("design:type", Array)
], CreateAISearchDto.prototype, "prompts", void 0);
__decorate([
    (0, class_validator_1.IsArray)(),
    (0, class_validator_1.ArrayNotEmpty)(),
    (0, class_validator_1.IsIn)(exports.AI_AGENT_VALUES, { each: true }),
    __metadata("design:type", Array)
], CreateAISearchDto.prototype, "aiAgents", void 0);
__decorate([
    (0, class_validator_1.IsString)(),
    (0, class_validator_1.IsNotEmpty)(),
    (0, class_validator_1.IsIn)(exports.JOB_TYPE_VALUES),
    __metadata("design:type", String)
], CreateAISearchDto.prototype, "jobType", void 0);
__decorate([
    (0, class_validator_1.IsNotEmpty)() // Ensures filter is required
    ,
    (0, class_validator_1.IsObject)() // Ensures filter is an object
    ,
    __metadata("design:type", Filter)
], CreateAISearchDto.prototype, "filter", void 0);
__decorate([
    (0, class_validator_1.IsInt)(),
    (0, class_validator_1.IsNotEmpty)(),
    (0, class_transformer_1.Type)(() => Number),
    __metadata("design:type", Number)
], CreateAISearchDto.prototype, "goalCount", void 0);
__decorate([
    (0, class_validator_1.IsBoolean)(),
    (0, class_validator_1.IsNotEmpty)(),
    (0, class_transformer_1.Type)(() => Boolean),
    __metadata("design:type", Boolean)
], CreateAISearchDto.prototype, "isForInternational", void 0);
__decorate([
    (0, class_validator_1.IsArray)({ message: 'suggestionKeywords must be an array' }),
    (0, class_validator_1.IsString)({ each: true, message: 'Each suggestionKeyword must be a string' }),
    __metadata("design:type", Array)
], CreateAISearchDto.prototype, "suggestionKeywords", void 0);