import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
import { authTables } from "@convex-dev/auth/server";

const schema = defineSchema({
    ...authTables,
    projects: defineTable({
        userId: v.id("users"),
        name: v.string(),
        isDefault: v.boolean(),
        dorkingConfig: v.object({
            selectedSourceIds: v.array(v.id("dataSources")),
        }),
    }).index("by_owner", ["userId"]),
    dataSources: defineTable({
        projectId: v.id("projects"),
        type: v.literal("website"),
        url: v.string(),
        name: v.string(),
        analysisStatus: v.union(
            v.literal("pending"),
            v.literal("completed"),
            v.literal("failed")
        ),
        lastAnalyzedAt: v.optional(v.number()),
        lastError: v.optional(v.string()),
        analysisResults: v.optional(
            v.object({
                features: v.array(v.string()),
                painPoints: v.array(v.string()),
                keywords: v.array(v.string()),
                summary: v.string(),
            })
        ),
        metadata: v.optional(v.any()),
    }).index("by_project_url", ["projectId", "url"]),
    analyses: defineTable({
        projectId: v.id("projects"),
        dataSourceId: v.id("dataSources"),
        createdAt: v.number(),
        analysisVersion: v.string(),
        productName: v.string(),
        tagline: v.string(),
        description: v.string(),
        category: v.string(),
        positioning: v.string(),
        features: v.array(v.object({
            name: v.string(),
            description: v.string(),
            benefits: v.array(v.string()),
            useCases: v.array(v.string()),
        })),
        problemsSolved: v.array(v.object({
            problem: v.string(),
            severity: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
            currentWorkarounds: v.array(v.string()),
            emotionalImpact: v.string(),
            searchTerms: v.array(v.string()),
        })),
        personas: v.array(v.object({
            name: v.string(),
            role: v.string(),
            companySize: v.string(),
            industry: v.string(),
            painPoints: v.array(v.string()),
            goals: v.array(v.string()),
            techSavvy: v.union(v.literal("low"), v.literal("medium"), v.literal("high")),
            objections: v.array(v.string()),
            searchBehavior: v.array(v.string()),
        })),
        keywords: v.array(v.object({
            term: v.string(),
            type: v.union(
                v.literal("product"),
                v.literal("problem"),
                v.literal("solution"),
                v.literal("competitor"),
                v.literal("feature"),
                v.literal("longtail"),
                v.literal("differentiator")
            ),
            searchVolume: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
            intent: v.union(v.literal("informational"), v.literal("navigational"), v.literal("transactional")),
            funnel: v.union(v.literal("awareness"), v.literal("consideration"), v.literal("decision")),
            emotionalIntensity: v.union(v.literal("frustrated"), v.literal("curious"), v.literal("ready")),
        })),
        useCases: v.array(v.object({
            scenario: v.string(),
            trigger: v.string(),
            emotionalState: v.string(),
            currentWorkflow: v.array(v.string()),
            desiredOutcome: v.string(),
            alternativeProducts: v.array(v.string()),
            whyThisProduct: v.string(),
            churnRisk: v.array(v.string()),
        })),
        competitors: v.array(v.object({
            name: v.string(),
            differentiator: v.string(),
            theirStrength: v.string(),
            switchTrigger: v.string(),
            theirWeakness: v.string(),
        })),
        dorkQueries: v.array(v.object({
            query: v.string(),
            platform: v.union(
                v.literal("reddit"),
                v.literal("hackernews"),
                v.literal("indiehackers"),
                v.literal("twitter"),
                v.literal("quora"),
                v.literal("stackoverflow")
            ),
            intent: v.union(
                v.literal("looking-for"),
                v.literal("frustrated"),
                v.literal("alternative"),
                v.literal("comparison"),
                v.literal("problem-solving"),
                v.literal("tutorial")
            ),
            priority: v.union(v.literal("high"), v.literal("medium"), v.literal("low")),
        })),
        scrapedAt: v.string(),
    })
        .index("by_project_createdAt", ["projectId", "createdAt"])
        .index("by_dataSource_createdAt", ["dataSourceId", "createdAt"]),
    analysisSections: defineTable({
        analysisId: v.id("analyses"),
        sectionKey: v.string(),
        items: v.any(),
        lastPrompt: v.optional(v.string()),
        source: v.union(v.literal("ai"), v.literal("manual"), v.literal("mixed")),
        updatedAt: v.number(),
    })
        .index("by_analysis", ["analysisId"])
        .index("by_analysis_section", ["analysisId", "sectionKey"]),
    opportunities: defineTable({
        projectId: v.id("projects"),
        analysisId: v.optional(v.id("analyses")),
        url: v.string(),
        platform: v.string(),
        title: v.string(),
        snippet: v.string(),
        relevanceScore: v.number(),
        intent: v.string(),
        status: v.string(),
        suggestedApproach: v.string(),
        matchedKeywords: v.array(v.string()),
        matchedProblems: v.array(v.string()),
        tags: v.optional(v.array(v.string())),
        notes: v.optional(v.string()),
        softPitch: v.boolean(),
        createdAt: v.number(),
        updatedAt: v.number(),
    })
        .index("by_project_status", ["projectId", "status"])
        .index("by_project_createdAt", ["projectId", "createdAt"])
        .index("by_project_url", ["projectId", "url"]),
    seenUrls: defineTable({
        projectId: v.id("projects"),
        url: v.string(),
        firstSeenAt: v.number(),
        lastSeenAt: v.number(),
        source: v.optional(v.string()),
    })
        .index("by_project_url", ["projectId", "url"])
        .index("by_project_lastSeen", ["projectId", "lastSeenAt"]),
    analysisJobs: defineTable({
        projectId: v.id("projects"),
        dataSourceId: v.optional(v.id("dataSources")),
        status: v.union(
            v.literal("pending"),
            v.literal("running"),
            v.literal("completed"),
            v.literal("failed")
        ),
        progress: v.optional(v.number()),
        stage: v.optional(v.string()),
        timeline: v.optional(v.array(v.object({
            key: v.string(),
            label: v.string(),
            status: v.union(
                v.literal("pending"),
                v.literal("running"),
                v.literal("completed"),
                v.literal("failed")
            ),
            detail: v.optional(v.string()),
        }))),
        error: v.optional(v.string()),
        createdAt: v.number(),
        updatedAt: v.number(),
    })
        .index("by_project_status", ["projectId", "status"])
        .index("by_project_createdAt", ["projectId", "createdAt"]),
    searchJobs: defineTable({
        projectId: v.id("projects"),
        status: v.union(
            v.literal("pending"),
            v.literal("running"),
            v.literal("completed"),
            v.literal("failed")
        ),
        config: v.optional(v.any()),
        progress: v.optional(v.number()),
        error: v.optional(v.string()),
        createdAt: v.number(),
        updatedAt: v.number(),
    })
        .index("by_project_status", ["projectId", "status"])
        .index("by_project_createdAt", ["projectId", "createdAt"]),
});

export default schema;