feat: SAPIENS Mobile App - Initial commit
React Native mobile application for SAPIENS news platform. Consolidated all previous history into single commit. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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jungwoo choi
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shared/schema.ts
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232
shared/schema.ts
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import { sql } from "drizzle-orm";
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import { pgTable, text, varchar, timestamp, integer, pgEnum, foreignKey, uniqueIndex, index } from "drizzle-orm/pg-core";
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import { createInsertSchema } from "drizzle-zod";
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import { z } from "zod";
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// Enum for reaction types
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export const reactionTypeEnum = pgEnum('reaction_type', ['like', 'dislike']);
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// User schema
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export const users = pgTable("users", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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username: text("username").notNull().unique(),
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password: text("password").notNull(),
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preferredLanguage: text("preferred_language").default("en"),
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avatar: text("avatar"),
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});
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// Media outlet schema
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export const mediaOutlets = pgTable("media_outlets", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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name: text("name").notNull(),
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description: text("description").notNull(),
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category: text("category").notNull(), // "people", "topics", "companies"
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focusSubject: text("focus_subject").notNull(), // "jacob", "ala", "ai", "crypto", etc.
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avatar: text("avatar"),
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profileImage: text("profile_image"),
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bio: text("bio").notNull(),
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fullBio: text("full_bio").array(),
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wikiProfile: text("wiki_profile"), // Detailed Wikipedia-style profile in HTML/Markdown format
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});
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// Article schema - extended for web scraping
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export const articles = pgTable("articles", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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outletId: varchar("outlet_id").notNull().references(() => mediaOutlets.id),
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title: text("title").notNull(),
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summary: text("summary").notNull(),
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body: text("body").notNull(),
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thumbnail: text("thumbnail").notNull(),
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publishedAt: timestamp("published_at").notNull(),
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tags: text("tags").array(),
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viewCount: integer("view_count").notNull().default(0),
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// Scraped article fields
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sourceUrl: text("source_url"), // Original URL that was scraped
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author: text("author"), // Article author from scraped content
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originalImageUrl: text("original_image_url"), // Original image URL before processing
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scrapedAt: timestamp("scraped_at").default(sql`NOW()`), // When this article was scraped
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isScraped: integer("is_scraped").notNull().default(0), // 1 if scraped, 0 if manually created
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});
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// Comments schema for YouTube-style commenting system
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export const comments = pgTable("comments", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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articleId: varchar("article_id").notNull().references(() => articles.id),
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content: text("content").notNull(),
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nickname: text("nickname").notNull(),
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avatar: text("avatar"), // Optional avatar URL or emoji
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parentId: varchar("parent_id"), // Parent comment ID (nullable for top-level comments)
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likesCount: integer("likes_count").notNull().default(0),
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dislikesCount: integer("dislikes_count").notNull().default(0),
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repliesCount: integer("replies_count").notNull().default(0),
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createdAt: timestamp("created_at").notNull().default(sql`NOW()`),
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updatedAt: timestamp("updated_at").notNull().default(sql`NOW()`),
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}, (table) => ({
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// Performance indexes
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articleParentCreatedIdx: index("comments_article_parent_created_idx").on(
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table.articleId,
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table.parentId,
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table.createdAt
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),
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}));
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// Comment reactions (likes/dislikes) with deduplication constraint
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export const commentReactions = pgTable("comment_reactions", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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commentId: varchar("comment_id").notNull().references(() => comments.id, { onDelete: 'cascade' }),
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reactionType: text("reaction_type").notNull(), // Keep as text to avoid migration issues
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userIdentifier: text("user_identifier").notNull(), // Session ID, IP hash, or similar
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createdAt: timestamp("created_at").notNull().default(sql`NOW()`),
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}, (table) => ({
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// Unique constraint to prevent duplicate reactions from same user
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uniqueUserReaction: uniqueIndex("unique_user_reaction_per_comment_idx").on(
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table.commentId,
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table.userIdentifier
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),
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}));
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// Bookmarks schema for saving articles
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export const bookmarks = pgTable("bookmarks", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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articleId: varchar("article_id").notNull().references(() => articles.id, { onDelete: 'cascade' }),
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userIdentifier: text("user_identifier").notNull(), // Session ID, IP hash, or similar
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createdAt: timestamp("created_at").notNull().default(sql`NOW()`),
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}, (table) => ({
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// Unique constraint to prevent duplicate bookmarks from same user
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uniqueUserBookmark: uniqueIndex("unique_user_bookmark_per_article_idx").on(
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table.articleId,
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table.userIdentifier
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),
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}));
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// Prediction Markets schema for article-related betting events
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export const predictionMarkets = pgTable("prediction_markets", {
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id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
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articleId: varchar("article_id").notNull().references(() => articles.id),
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question: text("question").notNull(),
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description: text("description"),
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marketType: text("market_type").notNull().default("binary"), // "binary" (yes/no) or "multiple_choice"
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// For binary markets
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yesPrice: integer("yes_price"), // Price in cents (0-100)
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noPrice: integer("no_price"), // Price in cents (0-100)
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// For multiple choice markets - JSON array of options
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// [{name: "Option A", price: 60, image: "/url"}, ...]
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options: text("options"), // JSON string
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totalVolume: integer("total_volume").notNull().default(0), // Total trading volume in dollars
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endDate: timestamp("end_date").notNull(),
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category: text("category"),
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isLive: integer("is_live").notNull().default(0),
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isResolved: integer("is_resolved").notNull().default(0),
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createdAt: timestamp("created_at").notNull().default(sql`NOW()`),
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}, (table) => ({
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articleIdx: index("prediction_markets_article_idx").on(table.articleId),
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}));
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// Insert schemas
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export const insertUserSchema = createInsertSchema(users).pick({
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username: true,
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password: true,
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preferredLanguage: true,
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avatar: true,
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});
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export const insertMediaOutletSchema = createInsertSchema(mediaOutlets).pick({
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name: true,
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description: true,
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category: true,
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focusSubject: true,
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avatar: true,
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profileImage: true,
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bio: true,
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fullBio: true,
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wikiProfile: true,
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});
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export const insertArticleSchema = createInsertSchema(articles).pick({
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outletId: true,
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title: true,
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summary: true,
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body: true,
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thumbnail: true,
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publishedAt: true,
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tags: true,
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viewCount: true,
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sourceUrl: true,
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author: true,
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originalImageUrl: true,
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scrapedAt: true,
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isScraped: true,
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}).extend({
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publishedAt: z.preprocess((val) => {
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if (typeof val === 'string') return new Date(val);
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if (val instanceof Date) return val;
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return new Date();
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}, z.date()),
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});
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export const insertCommentSchema = createInsertSchema(comments).pick({
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articleId: true,
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content: true,
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nickname: true,
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avatar: true,
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parentId: true,
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});
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export const insertCommentReactionSchema = createInsertSchema(commentReactions).pick({
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commentId: true,
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reactionType: true,
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userIdentifier: true,
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}).extend({
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reactionType: z.enum(["like", "dislike"]),
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});
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export const insertBookmarkSchema = createInsertSchema(bookmarks).pick({
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articleId: true,
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userIdentifier: true,
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});
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export const insertPredictionMarketSchema = createInsertSchema(predictionMarkets).pick({
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articleId: true,
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question: true,
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description: true,
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marketType: true,
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yesPrice: true,
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noPrice: true,
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options: true,
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totalVolume: true,
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endDate: true,
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category: true,
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isLive: true,
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isResolved: true,
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});
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// Types
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export type InsertUser = z.infer<typeof insertUserSchema>;
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export type User = typeof users.$inferSelect;
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export type InsertMediaOutlet = z.infer<typeof insertMediaOutletSchema>;
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export type MediaOutlet = typeof mediaOutlets.$inferSelect;
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export type InsertArticle = z.infer<typeof insertArticleSchema>;
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export type Article = typeof articles.$inferSelect;
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export type InsertComment = z.infer<typeof insertCommentSchema>;
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export type Comment = typeof comments.$inferSelect;
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export type InsertCommentReaction = z.infer<typeof insertCommentReactionSchema>;
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export type CommentReaction = typeof commentReactions.$inferSelect;
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export type InsertBookmark = z.infer<typeof insertBookmarkSchema>;
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export type Bookmark = typeof bookmarks.$inferSelect;
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export type InsertPredictionMarket = z.infer<typeof insertPredictionMarketSchema>;
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export type PredictionMarket = typeof predictionMarkets.$inferSelect;
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// Enums for categories
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export const CATEGORIES = ["people", "topics", "companies"] as const;
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export const FOCUS_SUBJECTS = ["jacob", "ala", "ai", "crypto", "polychain", "dcg"] as const;
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export const LANGUAGES = [
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{ code: "en", name: "English" },
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{ code: "ko", name: "한국어" },
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{ code: "ja", name: "日本語" },
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{ code: "zh_cn", name: "简体中文" },
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{ code: "zh_tw", name: "繁體中文" },
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{ code: "de", name: "Deutsch" },
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{ code: "fr", name: "Français" },
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{ code: "es", name: "Español" },
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{ code: "it", name: "Italiano" },
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] as const;
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