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import { pgTable, text, varchar, integer, boolean, timestamp, uniqueIndex } from "drizzle-orm/pg-core";
import { createInsertSchema } from "drizzle-zod";
import { z } from "zod";
// Import users table first
import { users, sessions, userRoles, type UserRole } from "./models/auth";
import { useCaseCategories } from "./models/modelMap";
// Re-export auth models
export { users, sessions, userRoles };
export type { User, UpsertUser, UserRole } from "./models/auth";
// Import and re-export model map types
export {
aiModels,
aiTools,
userModels,
userTools,
useCases,
userUseCases,
modelTests,
modelTestResults,
modelRecommendations,
useCaseCategories,
speedRatings,
insertAiModelSchema,
insertAiToolSchema,
insertUserModelSchema,
insertUserToolSchema,
insertUseCaseSchema,
insertUserUseCaseSchema,
insertModelTestSchema,
insertModelTestResultSchema,
insertModelRecommendationSchema,
} from "./models/modelMap";
export type {
AiModel,
InsertAiModel,
AiTool,
InsertAiTool,
UserModel,
InsertUserModel,
UserTool,
InsertUserTool,
UseCase,
InsertUseCase,
UseCaseCategory,
UserUseCase,
InsertUserUseCase,
ModelTest,
InsertModelTest,
ModelTestResult,
InsertModelTestResult,
ModelRecommendation,
InsertModelRecommendation,
SpeedRating,
} from "./models/modelMap";
// Categories for resolutions
export const categories = [
"Health & Fitness",
"Career",
"Learning",
"Finance",
"Relationships",
"Personal Growth",
] as const;
export type Category = (typeof categories)[number];
// Resolution status
export const statuses = ["not_started", "in_progress", "completed", "abandoned"] as const;
export type Status = (typeof statuses)[number];
// Resolution schema
// NOTE: targetDate uses text type for backward compatibility with existing data.
// Future migration should convert to timestamp type for better date handling.
export const resolutions = pgTable("resolutions", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
title: text("title").notNull(),
description: text("description"),
category: text("category").notNull(),
status: text("status").notNull().default("not_started"),
targetDate: text("target_date"), // TODO: Migrate to timestamp type
progress: integer("progress").notNull().default(0),
});
export const insertResolutionSchema = createInsertSchema(resolutions)
.omit({
id: true,
userId: true,
})
.extend({
category: z.enum(categories),
status: z.enum(statuses).optional(),
progress: z.number().int().min(0).max(100).optional(),
});
export type InsertResolution = z.infer<typeof insertResolutionSchema>;
export type Resolution = typeof resolutions.$inferSelect;
// Milestone schema
// NOTE: targetDate uses text type for backward compatibility with existing data.
// Future migration should convert to timestamp type for consistency.
export const milestones = pgTable("milestones", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
resolutionId: varchar("resolution_id").notNull().references(() => resolutions.id),
title: text("title").notNull(),
completed: boolean("completed").notNull().default(false),
targetDate: text("target_date"), // TODO: Migrate to timestamp type
});
export const insertMilestoneSchema = createInsertSchema(milestones).omit({
id: true,
});
export type InsertMilestone = z.infer<typeof insertMilestoneSchema>;
export type Milestone = typeof milestones.$inferSelect;
// Check-in schema for progress updates
// NOTE: date uses text type for backward compatibility with existing data.
// Future migration should convert to timestamp type for consistency with other tables.
export const checkIns = pgTable("check_ins", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
resolutionId: varchar("resolution_id").notNull().references(() => resolutions.id),
note: text("note").notNull(),
date: text("date").notNull(), // TODO: Migrate to timestamp type
});
export const insertCheckInSchema = createInsertSchema(checkIns).omit({
id: true,
});
export type InsertCheckIn = z.infer<typeof insertCheckInSchema>;
export type CheckIn = typeof checkIns.$inferSelect;
// AI Insights schema - stores AI-generated analysis
export const aiInsights = pgTable("ai_insights", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
checkInId: varchar("check_in_id").notNull().references(() => checkIns.id),
modelName: text("model_name").notNull(),
insight: text("insight").notNull(),
suggestion: text("suggestion"),
sentiment: text("sentiment"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertAiInsightSchema = createInsertSchema(aiInsights).omit({
id: true,
createdAt: true,
});
export type InsertAiInsight = z.infer<typeof insertAiInsightSchema>;
export type AiInsight = typeof aiInsights.$inferSelect;
// AI Model Usage schema - tracks performance metrics for model comparison
export const aiModelUsage = pgTable("ai_model_usage", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
checkInId: varchar("check_in_id").notNull().references(() => checkIns.id),
modelName: text("model_name").notNull(),
provider: text("provider").notNull(),
endpoint: text("endpoint").notNull(),
promptTokens: integer("prompt_tokens").notNull(),
completionTokens: integer("completion_tokens").notNull(),
totalTokens: integer("total_tokens").notNull(),
latencyMs: integer("latency_ms").notNull(),
estimatedCost: text("estimated_cost").notNull(),
status: text("status").notNull(),
errorMessage: text("error_message"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertAiModelUsageSchema = createInsertSchema(aiModelUsage).omit({
id: true,
createdAt: true,
});
export type InsertAiModelUsage = z.infer<typeof insertAiModelUsageSchema>;
export type AiModelUsage = typeof aiModelUsage.$inferSelect;
export const promptTemplates = pgTable("prompt_templates", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
name: text("name").notNull(),
description: text("description").notNull(),
category: text("category").notNull(), // UseCaseCategory
systemPrompt: text("system_prompt"),
examplePrompt: text("example_prompt").notNull(),
suggestedModels: text("suggested_models"), // JSON array of model names
tags: text("tags"), // JSON array of tags
isPublic: boolean("is_public").notNull().default(true),
createdBy: varchar("created_by").references(() => users.id),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertPromptTemplateSchema = createInsertSchema(promptTemplates).omit({
id: true,
createdAt: true,
}).extend({
category: z.enum(useCaseCategories),
});
export type InsertPromptTemplate = z.infer<typeof insertPromptTemplateSchema>;
export type PromptTemplate = typeof promptTemplates.$inferSelect;
// Prompt Test schema - for testing prompts across different models
export const promptTests = pgTable("prompt_tests", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
prompt: text("prompt").notNull(),
systemPrompt: text("system_prompt"),
category: text("category"), // e.g., "creative", "analytical", "code", "general"
templateId: varchar("template_id").references(() => promptTemplates.id),
tags: text("tags"), // JSON array of tags
selectedModels: text("selected_models"), // JSON array of models to test
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertPromptTestSchema = createInsertSchema(promptTests).omit({
id: true,
userId: true,
createdAt: true,
});
export type InsertPromptTest = z.infer<typeof insertPromptTestSchema>;
export type PromptTest = typeof promptTests.$inferSelect;
// Prompt Test Results - stores outputs from each model
export const promptTestResults = pgTable("prompt_test_results", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
promptTestId: varchar("prompt_test_id").notNull().references(() => promptTests.id),
modelName: text("model_name").notNull(),
provider: text("provider").notNull(),
output: text("output").notNull(),
promptTokens: integer("prompt_tokens").notNull(),
completionTokens: integer("completion_tokens").notNull(),
totalTokens: integer("total_tokens").notNull(),
latencyMs: integer("latency_ms").notNull(),
estimatedCost: text("estimated_cost").notNull(),
status: text("status").notNull(), // "success", "error"
errorMessage: text("error_message"),
userRating: integer("user_rating"), // 1-5 stars
userComment: text("user_comment"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertPromptTestResultSchema = createInsertSchema(promptTestResults).omit({
id: true,
createdAt: true,
});
export type InsertPromptTestResult = z.infer<typeof insertPromptTestResultSchema>;
export type PromptTestResult = typeof promptTestResults.$inferSelect;
// Test Case Configurations - allows custom model and tool selection
export const testCaseConfigs = pgTable("test_case_configs", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
promptTestId: varchar("prompt_test_id").notNull().references(() => promptTests.id),
modelName: text("model_name").notNull(),
provider: text("provider").notNull(),
enabled: boolean("enabled").notNull().default(true),
customParameters: text("custom_parameters"), // JSON for model-specific params
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertTestCaseConfigSchema = createInsertSchema(testCaseConfigs).omit({
id: true,
createdAt: true,
});
export type InsertTestCaseConfig = z.infer<typeof insertTestCaseConfigSchema>;
export type TestCaseConfig = typeof testCaseConfigs.$inferSelect;
// User Favorites - for models and tools
export const favoriteTypes = ["model", "tool", "template"] as const;
export type FavoriteType = (typeof favoriteTypes)[number];
export const userFavorites = pgTable("user_favorites", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
favoriteType: text("favorite_type").notNull(), // FavoriteType
favoriteId: text("favorite_id").notNull(), // model name, tool name, or template id
favoriteName: text("favorite_name").notNull(),
metadata: text("metadata"), // JSON for additional data
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertUserFavoriteSchema = createInsertSchema(userFavorites).omit({
id: true,
createdAt: true,
}).extend({
favoriteType: z.enum(favoriteTypes),
});
export type InsertUserFavorite = z.infer<typeof insertUserFavoriteSchema>;
export type UserFavorite = typeof userFavorites.$inferSelect;
// Prompt use case types
export const promptUseCaseTypes = [
"writing",
"research",
"coding",
"analysis",
"creative",
"technical",
"general",
] as const;
export type PromptUseCaseType = (typeof promptUseCaseTypes)[number];
// Test Case Templates - library of predefined prompt templates
export const testCaseTemplates = pgTable("test_case_templates", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
name: text("name").notNull(),
description: text("description"),
useCaseType: text("use_case_type").notNull(), // writing, research, coding, etc.
systemPrompt: text("system_prompt"),
examplePrompt: text("example_prompt").notNull(),
suggestedModels: text("suggested_models"), // JSON array of model names
suggestedTools: text("suggested_tools"), // JSON array of tool names
isBuiltIn: boolean("is_built_in").default(true).notNull(), // true for predefined, false for user-created
userId: varchar("user_id").references(() => users.id, { onDelete: "cascade" }), // null for built-in templates
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertTestCaseTemplateSchema = createInsertSchema(testCaseTemplates).omit({
id: true,
createdAt: true,
}).extend({
useCaseType: z.enum(promptUseCaseTypes),
});
export type InsertTestCaseTemplate = z.infer<typeof insertTestCaseTemplateSchema>;
export type TestCaseTemplate = typeof testCaseTemplates.$inferSelect;
// Test Case Configurations - specific model/tool selections for each test
export const testCaseConfigurations = pgTable("test_case_configurations", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
promptTestId: varchar("prompt_test_id")
.notNull()
.references(() => promptTests.id, { onDelete: "cascade" }),
selectedModels: text("selected_models").notNull(), // JSON array of model names
selectedTools: text("selected_tools"), // JSON array of tool identifiers
templateId: varchar("template_id").references(() => testCaseTemplates.id),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertTestCaseConfigurationSchema = createInsertSchema(testCaseConfigurations).omit({
id: true,
createdAt: true,
});
export type InsertTestCaseConfiguration = z.infer<typeof insertTestCaseConfigurationSchema>;
export type TestCaseConfiguration = typeof testCaseConfigurations.$inferSelect;
// Model Favorites - user's favorite models
export const modelFavorites = pgTable("model_favorites", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id, { onDelete: "cascade" }),
modelName: text("model_name").notNull(),
provider: text("provider").notNull(),
notes: text("notes"),
createdAt: timestamp("created_at").defaultNow().notNull(),
}, (table) => [
uniqueIndex("model_favorites_user_model_provider_idx").on(table.userId, table.modelName, table.provider),
]);
export const insertModelFavoriteSchema = createInsertSchema(modelFavorites).omit({
id: true,
createdAt: true,
});
export type InsertModelFavorite = z.infer<typeof insertModelFavoriteSchema>;
export type ModelFavorite = typeof modelFavorites.$inferSelect;
// Tool Favorites - user's favorite tools
export const toolFavorites = pgTable("tool_favorites", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id, { onDelete: "cascade" }),
toolIdentifier: text("tool_identifier").notNull(), // e.g., "code_interpreter", "web_search"
toolName: text("tool_name").notNull(),
notes: text("notes"),
createdAt: timestamp("created_at").defaultNow().notNull(),
}, (table) => [
uniqueIndex("tool_favorites_user_tool_idx").on(table.userId, table.toolIdentifier),
]);
export const insertToolFavoriteSchema = createInsertSchema(toolFavorites).omit({
id: true,
createdAt: true,
});
export type InsertToolFavorite = z.infer<typeof insertToolFavoriteSchema>;
export type ToolFavorite = typeof toolFavorites.$inferSelect;
// User Activity Log - tracks user actions for analytics
export const userActivityLog = pgTable("user_activity_log", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
action: text("action").notNull(), // e.g., "resolution_created", "check_in_added", "milestone_completed"
entityType: text("entity_type"), // e.g., "resolution", "milestone", "check_in"
entityId: varchar("entity_id"), // ID of the related entity
metadata: text("metadata"), // JSON string for additional data
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertUserActivityLogSchema = createInsertSchema(userActivityLog).omit({
id: true,
createdAt: true,
});
export type InsertUserActivityLog = z.infer<typeof insertUserActivityLogSchema>;
export type UserActivityLog = typeof userActivityLog.$inferSelect;
// API Performance Metrics - tracks response times and latency
export const apiMetrics = pgTable("api_metrics", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").references(() => users.id), // nullable for unauthenticated requests
endpoint: text("endpoint").notNull(), // e.g., "/api/resolutions"
method: text("method").notNull(), // e.g., "GET", "POST"
statusCode: integer("status_code").notNull(),
responseTimeMs: integer("response_time_ms").notNull(),
timestamp: timestamp("timestamp").defaultNow().notNull(),
});
export const insertApiMetricsSchema = createInsertSchema(apiMetrics).omit({
id: true,
timestamp: true,
});
export type InsertApiMetrics = z.infer<typeof insertApiMetricsSchema>;
export type ApiMetrics = typeof apiMetrics.$inferSelect;
// Page Views - tracks frontend page navigation
export const pageViews = pgTable("page_views", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").references(() => users.id), // nullable for unauthenticated views
path: text("path").notNull(), // e.g., "/", "/resolutions", "/analytics"
referrer: text("referrer"), // Previous page
userAgent: text("user_agent"), // Browser/device info
timestamp: timestamp("timestamp").defaultNow().notNull(),
});
export const insertPageViewSchema = createInsertSchema(pageViews).omit({
id: true,
timestamp: true,
});
export type InsertPageView = z.infer<typeof insertPageViewSchema>;
export type PageView = typeof pageViews.$inferSelect;
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