Swadhin Biswas Feature/ai code reviewer (#73) · 8/2/2026
105a287
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/**
* Review Analysis Schema - Drizzle ORM
* Stores analysis results, summaries, and review data for PRs.
*/
import { index, integer, jsonb, pgTable, text, timestamp } from "drizzle-orm/pg-core";
import { pullRequests } from "./pull-requests";
import { repositories } from "./repositories";
import { users } from "./users";
/**
* Stores the full analysis result for a PR review.
*/
export const prReviewAnalyses = pgTable(
"pr_review_analyses",
{
id: text("id").primaryKey(),
pullRequestId: text("pull_request_id")
.notNull()
.references(() => pullRequests.id, { onDelete: "cascade" }),
repositoryId: text("repository_id")
.notNull()
.references(() => repositories.id, { onDelete: "cascade" }),
status: text("status").notNull().default("pending"), // pending, running, completed, failed
// Analysis results (JSON)
complexityData: jsonb("complexity_data"),
dependencyGraph: jsonb("dependency_graph"),
architectureImpact: jsonb("architecture_impact"),
changeGroups: jsonb("change_groups"),
blastRadius: jsonb("blast_radius"),
healthScore: integer("health_score"), // 0-100
healthGrade: text("health_grade"), // A+, A, B, C, D, F
// Summaries (JSON)
summaries: jsonb("summaries"),
// Metadata
baseSha: text("base_sha"),
headSha: text("head_sha"),
filesAnalyzed: integer("files_analyzed"),
chunksProcessed: integer("chunks_processed"),
totalAdditions: integer("total_additions"),
totalDeletions: integer("total_deletions"),
// AI review metadata
model: text("model"),
provider: text("provider"),
tokensUsed: integer("tokens_used"),
costCents: integer("cost_cents"),
rawAiResponse: jsonb("raw_ai_response"),
// Tracking
triggeredById: text("triggered_by_id").references(() => users.id),
createdAt: timestamp("created_at").notNull().defaultNow(),
startedAt: timestamp("started_at"),
completedAt: timestamp("completed_at"),
errorMessage: text("error_message"),
},
(t) => ({
pullRequestIdx: index("pr_analysis_pr_idx").on(t.pullRequestId),
repositoryIdx: index("pr_analysis_repo_idx").on(t.repositoryId),
statusIdx: index("pr_analysis_status_idx").on(t.status),
createdIdx: index("pr_analysis_created_idx").on(t.createdAt),
}),
);
/**
* Stores file-level summaries.
*/
export const fileSummaries = pgTable(
"file_summaries",
{
id: text("id").primaryKey(),
analysisId: text("analysis_id")
.notNull()
.references(() => prReviewAnalyses.id, { onDelete: "cascade" }),
filePath: text("file_path").notNull(),
language: text("language"),
summary: text("summary"),
riskLevel: text("risk_level"), // low, medium, high, critical
additions: integer("additions"),
deletions: integer("deletions"),
complexityScore: integer("complexity_score"),
createdAt: timestamp("created_at").notNull().defaultNow(),
},
(t) => ({
analysisIdx: index("file_summaries_analysis_idx").on(t.analysisId),
filePathIdx: index("file_summaries_path_idx").on(t.filePath),
}),
);
/**
* Stores inline AI review comments on specific lines.
*/
export const aiInlineComments = pgTable(
"ai_inline_comments",
{
id: text("id").primaryKey(),
analysisId: text("analysis_id")
.notNull()
.references(() => prReviewAnalyses.id, { onDelete: "cascade" }),
pullRequestId: text("pull_request_id")
.notNull()
.references(() => pullRequests.id, { onDelete: "cascade" }),
filePath: text("file_path").notNull(),
line: integer("line").notNull(),
endLine: integer("end_line"),
side: text("side").default("right"), // left, right
severity: text("severity").notNull(), // info, warning, error, critical
type: text("type").notNull(), // bug, security, performance, style, documentation, suggestion
category: text("category"), // code-quality, security, performance, architecture, testing
title: text("title").notNull(),
message: text("message").notNull(),
suggestedFix: text("suggested_fix"),
explanation: text("explanation"),
confidence: integer("confidence"), // 0-100
isResolved: integer("is_resolved").default(0), // 0 or 1
isApplied: integer("is_applied").default(0),
appliedAt: timestamp("applied_at"),
dismissedAt: timestamp("dismissed_at"),
createdAt: timestamp("created_at").notNull().defaultNow(),
},
(t) => ({
analysisIdx: index("ai_inline_comments_analysis_idx").on(t.analysisId),
pullRequestIdx: index("ai_inline_comments_pr_idx").on(t.pullRequestId),
filePathIdx: index("ai_inline_comments_path_idx").on(t.filePath),
severityIdx: index("ai_inline_comments_severity_idx").on(t.severity),
}),
);
/**
* Tracks AI review conversation threads (chat with AI about PR).
*/
export const aiReviewThreads = pgTable(
"ai_review_threads",
{
id: text("id").primaryKey(),
analysisId: text("analysis_id")
.notNull()
.references(() => prReviewAnalyses.id, { onDelete: "cascade" }),
pullRequestId: text("pull_request_id")
.notNull()
.references(() => pullRequests.id, { onDelete: "cascade" }),
filePath: text("file_path"),
line: integer("line"),
messages: jsonb("messages").notNull(), // Array of { role, content, timestamp }
createdAt: timestamp("created_at").notNull().defaultNow(),
updatedAt: timestamp("updated_at").notNull().defaultNow(),
},
(t) => ({
analysisIdx: index("ai_thread_analysis_idx").on(t.analysisId),
pullRequestIdx: index("ai_thread_pr_idx").on(t.pullRequestId),
}),
);