150 lines
5.4 KiB
TypeScript
150 lines
5.4 KiB
TypeScript
import { defineSchema, defineTable } from "convex/server";
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import { v } from "convex/values";
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import { authTables } from "@convex-dev/auth/server";
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const schema = defineSchema({
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...authTables,
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projects: defineTable({
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userId: v.id("users"),
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name: v.string(),
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isDefault: v.boolean(),
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dorkingConfig: v.object({
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selectedSourceIds: v.array(v.id("dataSources")),
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}),
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}).index("by_owner", ["userId"]),
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dataSources: defineTable({
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projectId: v.id("projects"),
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type: v.literal("website"),
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url: v.string(),
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name: v.string(),
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analysisStatus: v.union(
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v.literal("pending"),
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v.literal("completed"),
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v.literal("failed")
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),
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analysisResults: v.optional(
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v.object({
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features: v.array(v.string()),
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painPoints: v.array(v.string()),
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keywords: v.array(v.string()),
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summary: v.string(),
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})
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),
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metadata: v.optional(v.any()),
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}),
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analyses: defineTable({
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projectId: v.id("projects"),
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dataSourceId: v.id("dataSources"),
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createdAt: v.number(),
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analysisVersion: v.string(),
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productName: v.string(),
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tagline: v.string(),
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description: v.string(),
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category: v.string(),
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positioning: v.string(),
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features: v.array(v.object({
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name: v.string(),
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description: v.string(),
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benefits: v.array(v.string()),
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useCases: v.array(v.string()),
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})),
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problemsSolved: v.array(v.object({
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problem: v.string(),
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severity: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
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currentWorkarounds: v.array(v.string()),
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emotionalImpact: v.string(),
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searchTerms: v.array(v.string()),
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})),
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personas: v.array(v.object({
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name: v.string(),
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role: v.string(),
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companySize: v.string(),
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industry: v.string(),
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painPoints: v.array(v.string()),
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goals: v.array(v.string()),
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techSavvy: v.union(v.literal("low"), v.literal("medium"), v.literal("high")),
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objections: v.array(v.string()),
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searchBehavior: v.array(v.string()),
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})),
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keywords: v.array(v.object({
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term: v.string(),
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type: v.union(
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v.literal("product"),
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v.literal("problem"),
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v.literal("solution"),
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v.literal("competitor"),
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v.literal("feature"),
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v.literal("longtail"),
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v.literal("differentiator")
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),
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searchVolume: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
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intent: v.union(v.literal("informational"), v.literal("navigational"), v.literal("transactional")),
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funnel: v.union(v.literal("awareness"), v.literal("consideration"), v.literal("decision")),
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emotionalIntensity: v.union(v.literal("frustrated"), v.literal("curious"), v.literal("ready")),
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})),
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useCases: v.array(v.object({
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scenario: v.string(),
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trigger: v.string(),
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emotionalState: v.string(),
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currentWorkflow: v.array(v.string()),
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desiredOutcome: v.string(),
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alternativeProducts: v.array(v.string()),
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whyThisProduct: v.string(),
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churnRisk: v.array(v.string()),
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})),
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competitors: v.array(v.object({
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name: v.string(),
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differentiator: v.string(),
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theirStrength: v.string(),
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switchTrigger: v.string(),
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theirWeakness: v.string(),
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})),
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dorkQueries: v.array(v.object({
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query: v.string(),
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platform: v.union(
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v.literal("reddit"),
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v.literal("hackernews"),
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v.literal("indiehackers"),
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v.literal("twitter"),
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v.literal("quora"),
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v.literal("stackoverflow")
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),
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intent: v.union(
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v.literal("looking-for"),
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v.literal("frustrated"),
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v.literal("alternative"),
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v.literal("comparison"),
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v.literal("problem-solving"),
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v.literal("tutorial")
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),
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priority: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
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})),
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scrapedAt: v.string(),
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})
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.index("by_project_createdAt", ["projectId", "createdAt"]),
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opportunities: defineTable({
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projectId: v.id("projects"),
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analysisId: v.optional(v.id("analyses")),
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url: v.string(),
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platform: v.string(),
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title: v.string(),
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snippet: v.string(),
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relevanceScore: v.number(),
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intent: v.string(),
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status: v.string(),
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suggestedApproach: v.string(),
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matchedKeywords: v.array(v.string()),
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matchedProblems: v.array(v.string()),
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tags: v.optional(v.array(v.string())),
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notes: v.optional(v.string()),
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softPitch: v.boolean(),
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createdAt: v.number(),
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updatedAt: v.number(),
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})
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.index("by_project_status", ["projectId", "status"])
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.index("by_project_createdAt", ["projectId", "createdAt"])
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.index("by_project_url", ["projectId", "url"]),
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});
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export default schema;
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