refactor: move more queries from tb to ch #2655
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chronark
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mcstepp and
MichaelUnkey
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📝 WalkthroughWalkthroughThis pull request encompasses a series of changes across multiple files within the billing application. The modifications primarily involve reordering import statements for clarity and organization, with several files seeing structural updates to database schemas, particularly in the Changes
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going to self approve this, as the changes are mostly formatting :/ |
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (42)
internal/clickhouse/schema/026_create_billable_ratelimits_v1.sql (2)
3-12: Consider adding constraints and optimizing table structureWhile the basic table structure is correct, consider these improvements for better data integrity and performance:
- Add NOT NULL constraints to prevent null values
- Add CHECK constraints for year/month validity
- Consider partitioning by year for better query performance
- Consider adding a TTL policy if historical data isn't needed indefinitely
CREATE TABLE billing.billable_ratelimits_per_month_v1 ( - year Int, - month Int, - workspace_id String, - count Int64 + year Int NOT NULL, + month Int NOT NULL, + workspace_id String NOT NULL, + count Int64 NOT NULL, + CONSTRAINT valid_year CHECK (year >= 2020), + CONSTRAINT valid_month CHECK (month BETWEEN 1 AND 12) ) ENGINE = SummingMergeTree() +PARTITION BY year ORDER BY (workspace_id, year, month) +TTL toDateTime('2020-01-01') + INTERVAL 3 YEAR ;
1-30: Consider data migration and consistency strategySince this is part of moving from TimescaleDB to ClickHouse:
- Ensure there's a data migration plan for existing rate limit data
- Consider running both systems in parallel initially to validate data consistency
- Plan for a gradual cutover strategy to minimize risk
Would you like help creating a data migration and validation plan?
internal/clickhouse/schema/025_create_billable_verifications_v2.sql (1)
2-11: Consider optimizing table definition for better performanceWhile the basic structure is correct, consider these improvements for better performance and data management:
- Add explicit partition by year for efficient data management
- Define TTL policy if historical data cleanup is needed
- Consider using more specific integer types (Int16) for year/month
CREATE TABLE billing.billable_verifications_per_month_v2 ( - year Int, - month Int, + year Int16, + month Int16, workspace_id String, count Int64 ) ENGINE = SummingMergeTree() +PARTITION BY year ORDER BY (workspace_id, year, month)internal/clickhouse/src/billing.ts (1)
4-38: Implementation looks good with minor suggestionsThe function is well-structured with proper:
- Input validation using Zod
- Error handling for null/undefined cases
- Default values
- Clear SQL query with proper parameter binding
Consider adding JSDoc comments to document:
- The return type and its meaning
- Whether the count represents unique rate limits or total occurrences
Apply this diff to improve documentation:
+/** + * Get the total number of billable rate limits for a workspace in a specific month + * @param ch - ClickHouse querier instance + * @returns Promise<number> - The total count of rate limits (0 if none found) + */ export function getBillableRatelimits(ch: Querier) {apps/billing/src/lib/db-marketing/schemas/evals.ts (3)
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18-19: Consider using JSON column type and proper serialization.The
recommendationsandoutlinefields are storing JSON data as TEXT with string defaults. This approach has several potential issues:
- No JSON validation at the database level
- Less efficient storage and querying compared to native JSON columns
- String literal defaults instead of proper JSON serialization
Consider these improvements:
- recommendations: text("recommendations").notNull().default("[]"), - outline: text("outline").default("[]"), + recommendations: json("recommendations").notNull().$default(() => [] as const), + outline: json("outline").$default(() => [] as const),This change would:
- Ensure JSON validity at the database level
- Enable better query performance for JSON operations
- Properly serialize default values
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39-65: Add validation schema for the outline field.The new
outlinefield lacks a corresponding Zod schema for validation. This could lead to type safety issues and inconsistent data.Consider adding a validation schema:
export const outlineSchema = z.object({ outline: z.array( z.object({ // Define the expected structure of your outline items // Example: title: z.string(), content: z.string(), // Add more fields as needed }) ), });Then extend the existing schemas:
export const insertEvalSchema = createInsertSchema(evals) - .extend({}) + .extend({ + outline: outlineSchema.optional(), + }) .omit({ id: true });
Missing Migration for
evalsSchema Changes.
The current migration strategy does not include the necessary changes for theevalsschema inapps/billing/src/lib/db-marketing/schemas/evals.ts.🔗 Analysis chain
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1-65: Verify database migration strategy.As part of moving queries from TB to CH (as per PR title), ensure these schema changes are properly handled in the migration process.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for related migration files fd -e sql -e ts migration apps/billing/src/lib/db-marketing/migrations # Look for any existing data transformation logic rg -l "outline|recommendations" apps/billing/src/lib/db-marketingLength of output: 323
Script:
#!/bin/bash # Search for any migration files in the entire repository fd -e sql -e ts migration # Search for data transformation logic related to evals rg -l "evals|evalTypes" .Length of output: 760
Script:
#!/bin/bash # Search for references to 'evals' within migration files rg 'evals' $(fd -e ts migration)Length of output: 478
apps/billing/src/lib/search-query.ts (3)
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29-42: Consider improving the prompt engineeringThe NOTE comment indicates known issues with the prompt quality. The current prompt might benefit from:
- More specific examples of good/bad queries
- Explicit constraints on query length
- Domain-specific context about API development
Would you like me to help generate an improved prompt structure?
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45-71: Add retry logic and explicit error handling for database operationsThe transaction could fail due to temporary database issues. Consider:
- Adding retry logic for transient failures
- Explicit error handling for transaction rollbacks
- Logging of failure scenarios
Here's a suggested improvement:
+ import { retry } from '@/lib/utils/retry'; // Add retry utility - await db.transaction(async (tx) => { + await retry(async () => { + return db.transaction(async (tx) => { // Insert search query await tx .insert(searchQueries) .values({ ...generatedQuery.object, }) .onDuplicateKeyUpdate({ set: { updatedAt: sql`now()`, }, }); // Insert entry await tx .insert(entries) .values({ inputTerm: term, }) .onDuplicateKeyUpdate({ set: { updatedAt: sql`now()`, }, }); + }); + }, { + retries: 3, + minTimeout: 1000, + factor: 2, + });
Unusual OpenAI model name "gpt-4o-mini" detected in multiple files:
apps/billing/src/trigger/glossary/generate-outline.tsapps/billing/src/trigger/glossary/evals.tsapps/billing/src/trigger/glossary/draft-sections.tsapps/billing/src/lib/search-query.tsapps/billing/src/lib/firecrawl.tsapps/billing/src/lib/keywords.ts🔗 Analysis chain
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31-31: Verify the OpenAI model nameThe model name "gpt-4o-mini" appears unusual and might be a typo. Standard OpenAI models typically follow patterns like "gpt-4", "gpt-3.5-turbo", etc.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for other OpenAI model usages in the codebase rg -g '!{*.lock,package-lock.json}' 'openai\(["\']gpt-' --type tsLength of output: 130
Script:
#!/bin/bash # Improved search for OpenAI model usages in the codebase, accounting for potential typos rg -g '!{*.lock,package-lock.json}' 'openai\(["\']gpt-4[o0]-mini["\']' --type tsLength of output: 93
Script:
#!/bin/bash # Improved search for OpenAI model usages in the codebase, correcting quotation marks rg -g '!{*.lock,package-lock.json}' 'openai\(["'\'']gpt-4[o0]-mini["'\'']\)' --type tsLength of output: 867
apps/billing/src/lib/db-marketing/schemas/sections.ts (3)
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42-51: Document content types and consider exporting the arrayThe content types array defines valid section types but lacks documentation explaining each type's purpose. Additionally, consider exporting this constant for reuse in other parts of the application.
Consider applying these improvements:
+/** + * Valid content types for sections: + * - listicle: Ordered or unordered lists of items + * - table: Tabular data presentation + * - image: Image content + * - code: Code snippets or examples + * - infographic: Visual information graphics + * - timeline: Time-based content presentation + * - other: Miscellaneous content types + * - text: Plain text content + * - video: Video content + */ -const contentTypes = [ +export const contentTypes = [ "listicle", "table", // ... rest of the types ] as const;Also applies to: 53-59
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82-85: Standardize timestamp precision across tablesThe timestamps in
sectionsToKeywordsuse microsecond precision (fsp: 3), while other tables use default precision. Consider standardizing this across all tables for consistency.
Database migration strategy not fully implemented
The table
sectionsToKeywordsis still using MySQL schema definitions. Consider updating it to ClickHouse-specific schema definitions to align with the migration objective.🔗 Analysis chain
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78-91: Verify database migration strategyGiven that this PR's objective is to move queries from TB to CH (TimescaleDB to ClickHouse), please verify if this table should be using ClickHouse-specific schema definitions instead of MySQL.
Run this script to check for other ClickHouse schema definitions in the codebase:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Look for ClickHouse schema definitions and verify consistency # Search for ClickHouse table definitions rg -l "clickhouse.*Table|createTable.*clickhouse" --type ts # Search for similar junction tables in ClickHouse rg "many-to-many|junction.*table|.*ToKeywords" --type tsLength of output: 2613
apps/billing/src/trigger/glossary/keyword-research.ts (6)
1-11: Consider organizing imports for better maintainabilityConsider grouping imports into sections:
- External dependencies (trigger.dev, drizzle-orm)
- Internal shared utilities
- Local module imports
+ // External dependencies import { AbortTaskRunError, task } from "@trigger.dev/sdk/v3"; import { sql, inArray, and, eq } from "drizzle-orm"; + // Internal shared utilities import { db } from "@/lib/db-marketing/client"; import { keywords } from "@/lib/db-marketing/schemas"; import { getOrCreateFirecrawlResponse } from "@/lib/firecrawl"; + // Local imports import { getOrCreateKeywordsFromHeaders, getOrCreateKeywordsFromTitles } from "../../lib/keywords"; import { getOrCreateSearchQuery } from "../../lib/search-query"; import { getOrCreateSearchResponse } from "../../lib/serper"; import type { CacheStrategy } from "./_generate-glossary-entry";
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13-19: Consider a more descriptive constant nameThe constant
THREEcould be more descriptively named to indicate its purpose, such asTOP_RESULTS_LIMITorMAX_SEARCH_RESULTS.-export const THREE = 3; +export const TOP_RESULTS_LIMIT = 3;
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24-35: Consider enhancing cache invalidation logicThe current caching strategy only checks for existence but doesn't consider the age of the cached data. Consider adding a timestamp-based invalidation strategy.
if (existing.length > 0 && onCacheHit === "stale") { + const oldestAllowedTimestamp = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000); // 7 days + const isStale = existing.some(entry => entry.updatedAt < oldestAllowedTimestamp); + if (!isStale) { return { message: `Found existing keywords for ${term}`, term, keywords: existing, }; + } }
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47-57: Add timeout handling for external API callsThe external API calls to fetch search results and content could benefit from timeout handling to prevent hanging operations.
const topThree = searchResponse.serperOrganicResults .sort((a, b) => a.position - b.position) .slice(0, THREE); +const FETCH_TIMEOUT = 30000; // 30 seconds + +const timeoutPromise = (promise: Promise<any>, ms: number) => { + return Promise.race([ + promise, + new Promise((_, reject) => + setTimeout(() => reject(new Error('Operation timed out')), ms) + ) + ]); +}; + // Get content for top 3 results const firecrawlResults = await Promise.all( topThree.map((result) => - getOrCreateFirecrawlResponse({ url: result.link, connectTo: { term: term } }), + timeoutPromise( + getOrCreateFirecrawlResponse({ url: result.link, connectTo: { term: term } }), + FETCH_TIMEOUT + ), ), );
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74-94: Wrap database operations in a transactionThe related search keywords insertion should be wrapped in a transaction to ensure data consistency.
+const insertRelatedSearches = async (searchQuery, searches) => { + return await db.transaction(async (tx) => { await tx .insert(keywords) .values( searches.map((search) => ({ inputTerm: searchQuery.inputTerm, keyword: search.query.toLowerCase(), source: "related_searches", updatedAt: sql`now()`, })), ) .onDuplicateKeyUpdate({ set: { updatedAt: sql`now()`, }, }); return await tx.query.keywords.findMany({ where: and( eq(keywords.inputTerm, searchQuery.inputTerm), eq(keywords.source, "related_searches"), inArray( keywords.keyword, searches.map((search) => search.query.toLowerCase()), ), ), }); + }); +}; -await db.insert(keywords)... -const insertedRelatedSearches = await db.query.keywords... +const insertedRelatedSearches = await insertRelatedSearches( + searchQuery, + searchResponse.serperRelatedSearches +);
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96-106: Enhance error handling and result validationConsider adding validation for the final results before returning and improve error handling for better debugging.
+import { z } from "zod"; + +const KeywordResultSchema = z.object({ + message: z.string(), + term: z.string(), + keywords: z.array(z.object({ + keyword: z.string(), + source: z.string(), + inputTerm: z.string(), + updatedAt: z.date() + })) +}); + +try { const result = { message: `Keyword Research for ${term} completed`, term: searchQuery.inputTerm, keywords: [...keywordsFromTitles, ...keywordsFromHeaders, ...insertedRelatedSearches], }; + return KeywordResultSchema.parse(result); +} catch (error) { + console.error('Failed to validate keyword research results:', error); + throw new Error('Invalid keyword research results'); +} - return result;apps/dashboard/lib/audit.ts (2)
55-92: Add JSDoc comments to improve type documentationThe
UnkeyAuditLogtype would benefit from documentation explaining its purpose and usage.+/** + * Represents an audit log entry in the Unkey system. + * @property workspaceId - The ID of the workspace where the action occurred + * @property event - The type of event that occurred + * @property resources - Array of resources affected by the action + */ export type UnkeyAuditLog = {
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93-183: Add error handling and consider batch operationsTwo suggestions to improve the implementation:
- Add error handling for database operations
- Consider using batch inserts for better performance when handling multiple logs
export async function insertAuditLogs( db: Transaction | Database, logOrLogs: MaybeArray<UnkeyAuditLog>, ) { const logs = Array.isArray(logOrLogs) ? logOrLogs : [logOrLogs]; if (logs.length === 0) { return Promise.resolve(); } + try { for (const log of logs) { // ... bucket handling ... } - // 2. Insert the log - const auditLogId = newId("auditLog"); - await db.insert(schema.auditLog).values({ + // 2. Batch insert logs + const auditLogValues = logs.map(log => ({ + id: newId("auditLog"), workspaceId: log.workspaceId, // ... other fields ... })); + await db.insert(schema.auditLog).values(auditLogValues); // ... resource handling ... + } catch (error) { + console.error("Failed to insert audit logs:", error); + throw new Error("Failed to record audit logs"); + } }apps/billing/src/trigger/glossary/create-pr.ts (3)
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82-83: Consider moving repository details to configurationThe hardcoded owner and repo values should be moved to environment variables or configuration for better maintainability and reusability.
- const owner = "p6l-richard"; - const repo = "unkey"; + const owner = process.env.GITHUB_REPO_OWNER; + const repo = process.env.GITHUB_REPO_NAME;
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87-117: Add error handling for GitHub API operationsThe branch creation and deletion operations lack proper error handling. Consider wrapping these operations in try/catch blocks to handle potential API failures gracefully.
Example implementation:
- const mainRef = await octokit.git.getRef({ - owner, - repo, - ref: "heads/main", - }); + try { + const mainRef = await octokit.git.getRef({ + owner, + repo, + ref: "heads/main", + }); + } catch (error) { + throw new AbortTaskRunError( + `Failed to get main branch reference: ${error.message}` + ); + }
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19-33: Optimize database queriesThe code makes multiple separate queries to fetch the same entry. Consider consolidating these queries to improve performance.
- const existing = await db.query.entries.findFirst({ - where: eq(entries.inputTerm, input), - columns: { - id: true, - inputTerm: true, - githubPrUrl: true, - }, - orderBy: (entries, { desc }) => [desc(entries.createdAt)], - }); - - if (existing?.githubPrUrl && onCacheHit === "stale") { - return { - entry: existing, - message: `Found existing PR for ${input}.mdx`, - }; - } - - // ==== 1. Prepare MDX file ==== - const entry = await db.query.entries.findFirst({ + const entry = await db.query.entries.findFirst({ where: eq(entries.inputTerm, input), + columns: { + id: true, + inputTerm: true, + githubPrUrl: true, + dynamicSectionsContent: true, + metaTitle: true, + metaDescription: true, + }, orderBy: (entries, { desc }) => [desc(entries.createdAt)], }); + if (entry?.githubPrUrl && onCacheHit === "stale") { + return { + entry: { + id: entry.id, + inputTerm: entry.inputTerm, + githubPrUrl: entry.githubPrUrl, + }, + message: `Found existing PR for ${input}.mdx`, + }; + }apps/billing/src/trigger/glossary/_generate-glossary-entry.ts (1)
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35-37: Resolve inconsistency in retry configuration.The task's
maxAttemptsis set to 0, but the documentation comments mention "maxAttempts for a subtask is 5". This seems inconsistent and might prevent the intended retry behavior for handling undeterministic LLM executions.Consider updating the retry configuration:
retry: { - maxAttempts: 0, + maxAttempts: 5, },apps/billing/src/lib/firecrawl.ts (2)
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9-11: Add environment variable validationThe Firecrawl API key is accessed with a non-null assertion (
!), which could cause runtime errors if the environment variable is missing.Consider adding validation:
+if (!process.env.FIRECRAWL_API_KEY) { + throw new Error("FIRECRAWL_API_KEY environment variable is required"); +} const firecrawl = new FirecrawlApp({ - apiKey: process.env.FIRECRAWL_API_KEY!, + apiKey: process.env.FIRECRAWL_API_KEY, });
Issue Found: Potential Typo in OpenAI Model Name
- The model name "gpt-4o-mini" appears multiple times and may be a typo (e.g., "gpt-4-turbo").
- Inconsistent model names like "gpt-4-turbo" and "gpt-4o" are also present.
🔗 Analysis chain
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171-175: Verify the model name and consider extracting the system prompt
- The model name "gpt-4o-mini" seems unusual and might be a typo.
- The long system prompt could be moved to a constant for better maintainability.
Let's verify the model name usage:
Consider moving the system prompt to a constant:
const SUMMARY_SYSTEM_PROMPT = `You are the **Chief Technology Officer (CTO)** ...`;🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for OpenAI model names in the codebase rg "openai\(['\"]gpt-" --type typescriptLength of output: 79
Script:
#!/bin/bash # Search for OpenAI model names in the codebase with TypeScript extensions rg "openai\(['\"]gpt-" --type ts --type tsxLength of output: 75
Script:
#!/bin/bash # Search for OpenAI model names in the codebase within .ts and .tsx files rg "openai\(['\"]gpt-" --glob "*.ts" --glob "*.tsx"Length of output: 1002
apps/billing/src/lib/keywords.ts (4)
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83-95: Consider enhancing error handling for the OpenAI API call.The
generateObjectcall could fail due to API errors, rate limits, or invalid responses. Consider adding specific error handling:const keywordsFromTitles = await generateObject({ model: openai("gpt-4o-mini"), system: keywordResearchSystemPrompt, prompt: promptTitles, schema: z.object({ keywords: z.array(z.object({ keyword: z.string(), sourceUrl: z.string().url() })), keywordsWithBrandNames: z.array( z.object({ keyword: z.string(), sourceUrl: z.string().url() }), ), - }), + }).catch((error) => { + if (error.code === 'rate_limit_exceeded') { + throw new Error(`OpenAI rate limit exceeded: ${error.message}`); + } + throw new Error(`Failed to generate keywords: ${error.message}`); + });
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98-111: Consider wrapping database operations in a transaction.The database operations (insert and subsequent query) should be wrapped in a transaction to ensure data consistency.
+ return await db.transaction(async (tx) => { await db .insert(keywords) .values( keywordsFromTitles.object.keywords.map((keyword) => ({ inputTerm: term, keyword: keyword.keyword.toLowerCase(), sourceUrl: keyword.sourceUrl, source: "titles", })), ) .onDuplicateKeyUpdate({ set: { updatedAt: sql`now()`, }, }); - return db.query.keywords.findMany({ + return tx.query.keywords.findMany({ where: and( eq(keywords.inputTerm, term), eq(keywords.source, "titles"), inArray( keywords.keyword, keywordsFromTitles.object.keywords.map((k) => k.keyword.toLowerCase()), ), ), }); + });
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134-137: Consider improving the markdown header parsing regex.The current regex
^##\s+(.*)$/gmmight miss some edge cases. Consider using a more robust pattern:- ${firecrawlResponse.markdown?.match(/^##\s+(.*)$/gm)?.join("\n")} + ${firecrawlResponse.markdown?.match(/^#{1,6}\s+(.+?)(?:\s*{[^}]*})?$/gm)?.join("\n")}This pattern will:
- Match headers of all levels (h1-h6)
- Handle optional trailing attributes in curly braces
- Ensure non-empty header content
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115-190: Consider reducing code duplication with getOrCreateKeywordsFromTitles.Both functions share similar database operations and OpenAI call patterns. Consider extracting common logic into shared utilities:
interface KeywordExtractionParams { term: string; source: 'titles' | 'headers'; prompt: string; } async function extractAndStoreKeywords({ term, source, prompt }: KeywordExtractionParams) { const keywords = await generateObject({ model: openai("gpt-4o-mini"), system: keywordResearchSystemPrompt, prompt, schema: z.object({ keywords: z.array(z.object({ keyword: z.string(), sourceUrl: z.string().url() })), keywordsWithBrandNames: z.array( z.object({ keyword: z.string(), sourceUrl: z.string().url() }), ), }), }); return db.transaction(async (tx) => { // ... shared database operations }); }apps/billing/src/trigger/glossary/draft-sections.ts (3)
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15-106: Consider implementing rate limiting and error handling for AI operations.The task uses multiple OpenAI API calls in sequence without explicit rate limiting or comprehensive error handling. This could lead to reliability issues or unexpected costs.
Consider:
- Implementing a rate limiter for OpenAI API calls
- Adding retry logic with exponential backoff
- Validating AI response length and structure
- Monitoring and logging AI operation costs
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107-190: Refactor AI model configuration for better maintainability.The code has hardcoded model names (
gpt-4-turbo,gpt-4o-mini) scattered across different functions. This could make model updates or A/B testing difficult.Consider extracting model configuration to a central configuration:
const AI_CONFIG = { models: { draft: "gpt-4-turbo", review: "gpt-4o-mini", seo: "gpt-4o-mini" }, maxTokens: { draft: 1000, review: 500, seo: 800 } } as const; // Usage const completion = await generateText({ model: openai(AI_CONFIG.models.draft), maxTokens: AI_CONFIG.maxTokens.draft, system, prompt, });
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191-236: Consider extracting complex types for better maintainability.The nested type definition for the
entryparameter is complex and could be hard to maintain. Consider extracting it to a separate type definition.type DynamicSection = typeof sections.$inferSelect & { contentTypes: Array<typeof sectionContentTypes.$inferSelect>; sectionsToKeywords: Array< typeof sectionsToKeywords.$inferSelect & { keyword: typeof keywords.$inferSelect; } >; }; type EntryWithDynamicSections = typeof entries.$inferSelect & { dynamicSections: Array<DynamicSection>; }; // Usage function draftSections({ term, entry, }: { term: string; entry: EntryWithDynamicSections; })apps/dashboard/app/(app)/apis/[apiId]/page.tsx (3)
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71-108: Consider adding error handling for unknown verification outcomesThe switch statement for processing verification outcomes has a default case that silently ignores unknown outcomes. This could hide potential issues if new outcome types are added in the future.
case "FORBIDDEN": forbiddenOverTime.push({ x, y: d.count }); break; default: + console.warn(`Unknown verification outcome encountered: ${d.outcome}`); + break;
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28-41: Add error handling for missing keyAuthIdThe code assumes
api.keyAuthIdexists (using!operator) but should handle the case where it might be null more gracefully.const api = await db.query.apis.findFirst({ where: (table, { eq, and, isNull }) => and(eq(table.id, props.params.apiId), isNull(table.deletedAt)), with: { workspace: true, }, }); - if (!api || api.workspace.tenantId !== tenantId) { + if (!api || api.workspace.tenantId !== tenantId || !api.keyAuthId) { return redirect("/new"); }
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42-108: Consider memoizing verification data processingThe processing of verification data into different categories is performed on every render. Consider memoizing this computation using
useMemoif this component is re-rendered frequently.Here's how you could refactor this:
const processVerifications = useMemo(() => { const result = { successOverTime: [], ratelimitedOverTime: [], // ... other arrays }; for (const d of verifications.sort((a, b) => a.time - b.time)) { const x = new Date(d.time).toISOString(); switch (d.outcome) { case "": case "VALID": result.successOverTime.push({ x, y: d.count }); break; // ... other cases } } return result; }, [verifications]);apps/billing/src/trigger/glossary/evals.ts (1)
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158-321: Standardize logging format across tasksThe editorial evaluation task uses a different logging format (
[workflow=glossary] [task=editorial_eval]) compared to other tasks. Consider standardizing the logging format across all tasks for consistency.Consider abstracting common task patterns
The three evaluation tasks share significant code structure. Consider creating a base evaluation task factory to reduce code duplication.
Here's a suggested approach:
type EvalType = 'technical' | 'seo' | 'editorial'; const createEvalTask = (type: EvalType) => { return task({ id: `perform_${type}_eval`, run: async ({ input, onCacheHit = "stale", ...options }: TaskInput & EvalOptions) => { console.info(`Starting ${type} evaluation for term: ${input}`); // ... common implementation ... const result = { ratings: ratingsResult.output, recommendations: recommendationsResult.output.recommendations, }; // Add outline for editorial type if (type === 'editorial') { return { ...result, outline: options.content }; } return result; } }); }; export const performTechnicalEvalTask = createEvalTask('technical'); export const performSEOEvalTask = createEvalTask('seo'); export const performEditorialEvalTask = createEvalTask('editorial');apps/billing/src/trigger/glossary/generate-outline.ts (3)
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26-29: Address TODO comment with concrete improvementsThe TODO comment indicates known issues but doesn't have a clear timeline or ownership. Consider breaking this into specific GitHub issues for:
- Task decomposition
- Database caching implementation
- Prompt improvements
Would you like me to help create GitHub issues for tracking these improvements?
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26-196: Consider refactoring the task for better maintainabilityThe
generateOutlineTaskis quite large and handles multiple concerns. Consider:
- Breaking it into smaller, focused tasks
- Wrapping database operations in transactions
- Implementing proper rollback mechanisms for partial failures
Here's a suggested approach for breaking down the task:
// 1. Create separate tasks for each major step export const generateInitialOutlineTask = task({/*...*/}) export const performEvaluationsTask = task({/*...*/}) export const persistOutlineTask = task({/*...*/}) // 2. Wrap database operations in transactions async function persistOutline(entry, outline) { return await db.transaction(async (tx) => { const sectionIds = await tx.insert(sections)/*...*/ await tx.insert(sectionsToKeywords)/*...*/ await tx.insert(sectionContentTypes)/*...*/ return sectionIds }) } // 3. Main task becomes an orchestrator export const generateOutlineTask = task({ id: "generate_outline", run: async ({ term, onCacheHit }) => { const initialOutline = await generateInitialOutlineTask.triggerAndWait(/*...*/) const evaluations = await performEvaluationsTask.triggerAndWait(/*...*/) return await persistOutlineTask.triggerAndWait(/*...*/) } })
Custom model
gpt-4o-miniis used without proper configuration.
- Ensure that
gpt-4o-miniis defined and configured correctly in the production environment.- Review the configuration files to include settings for
gpt-4o-mini.🔗 Analysis chain
Line range hint
213-350: Verify the availability and capabilities of the custom OpenAI modelThe code uses a custom model
gpt-4o-mini. Ensure that:
- This model is properly configured and available in production
- It has sufficient context window for processing the input content
- It's cost-effective for the use case
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for other usages of this custom model rg -l "gpt-4o-mini" # Check for any configuration files that might define the model fd -e json -e yaml -e env . | xargs rg "gpt-4o"Length of output: 371
Script:
#!/bin/bash # Check for any configuration files that define the 'gpt-4o-mini' model fd -e json -e yaml -e env . | xargs rg "gpt-4o-mini"Length of output: 52
apps/dashboard/lib/trpc/routers/rbac.ts (1)
Line range hint
270-313: Consider renamingupsertPermissionsto better reflect its functionalityThe function
upsertPermissionscurrently inserts new permissions if they do not exist but does not update existing permissions. Since it doesn't perform an update on existing records, the term upsert might be misleading. To improve clarity, consider renaming the function to something likecreatePermissionsIfNotExistorensurePermissionsExist.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
pnpm-lock.yamlis excluded by!**/pnpm-lock.yaml
📒 Files selected for processing (32)
apps/billing/src/lib/db-marketing/schemas/entries.ts(1 hunks)apps/billing/src/lib/db-marketing/schemas/evals.ts(1 hunks)apps/billing/src/lib/db-marketing/schemas/firecrawl.ts(2 hunks)apps/billing/src/lib/db-marketing/schemas/keywords.ts(1 hunks)apps/billing/src/lib/db-marketing/schemas/searchQuery.ts(1 hunks)apps/billing/src/lib/db-marketing/schemas/sections.ts(1 hunks)apps/billing/src/lib/db-marketing/schemas/serper.ts(1 hunks)apps/billing/src/lib/firecrawl.ts(2 hunks)apps/billing/src/lib/keywords.ts(1 hunks)apps/billing/src/lib/search-query.ts(1 hunks)apps/billing/src/trigger/glossary/_generate-glossary-entry.ts(1 hunks)apps/billing/src/trigger/glossary/create-pr.ts(1 hunks)apps/billing/src/trigger/glossary/draft-sections.ts(1 hunks)apps/billing/src/trigger/glossary/evals.ts(1 hunks)apps/billing/src/trigger/glossary/generate-outline.ts(2 hunks)apps/billing/src/trigger/glossary/keyword-research.ts(1 hunks)apps/billing/src/trigger/glossary/seo-meta-tags.ts(1 hunks)apps/dashboard/app/(app)/apis/[apiId]/page.tsx(1 hunks)apps/dashboard/app/(app)/semantic-cache/[gatewayId]/analytics/page.tsx(2 hunks)apps/dashboard/app/(app)/semantic-cache/[gatewayId]/layout.tsx(0 hunks)apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/page.tsx(0 hunks)apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/table.tsx(0 hunks)apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/util.ts(0 hunks)apps/dashboard/app/(app)/settings/billing/page.tsx(1 hunks)apps/dashboard/lib/audit.ts(1 hunks)apps/dashboard/lib/tinybird.ts(0 hunks)apps/dashboard/lib/trpc/routers/key/createRootKey.ts(1 hunks)apps/dashboard/lib/trpc/routers/rbac.ts(1 hunks)internal/clickhouse/schema/025_create_billable_verifications_v2.sql(1 hunks)internal/clickhouse/schema/026_create_billable_ratelimits_v1.sql(1 hunks)internal/clickhouse/src/billing.ts(2 hunks)internal/clickhouse/src/index.ts(2 hunks)
💤 Files with no reviewable changes (5)
- apps/dashboard/app/(app)/semantic-cache/[gatewayId]/layout.tsx
- apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/page.tsx
- apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/table.tsx
- apps/dashboard/app/(app)/semantic-cache/[gatewayId]/logs/util.ts
- apps/dashboard/lib/tinybird.ts
✅ Files skipped from review due to trivial changes (6)
- apps/billing/src/lib/db-marketing/schemas/entries.ts
- apps/billing/src/lib/db-marketing/schemas/firecrawl.ts
- apps/billing/src/lib/db-marketing/schemas/keywords.ts
- apps/billing/src/lib/db-marketing/schemas/searchQuery.ts
- apps/billing/src/lib/db-marketing/schemas/serper.ts
- apps/dashboard/app/(app)/semantic-cache/[gatewayId]/analytics/page.tsx
🔇 Additional comments (35)
internal/clickhouse/schema/026_create_billable_ratelimits_v1.sql (2)
29-30: LGTM! Down migration is correct
The down migration properly handles the cleanup in the correct order.
14-27: Verify source table schema and time handling
The materialized view looks functionally correct, but please verify:
- The schema of
ratelimits.ratelimits_per_month_v1matches expectations - The time zone handling for
toYear(time)andtoMonth(time)is appropriate
internal/clickhouse/schema/025_create_billable_verifications_v2.sql (3)
29-30: LGTM! Down migration is correct
The down migration properly handles cleanup in the correct order (view before table).
13-26: Verify source table schema and consider performance optimizations
The materialized view looks functionally correct, but let's verify a few things:
Additionally, consider adding an index on the outcome column in the source table if not already present, as it's used in the WHERE clause.
1-30: Verify migration sequence and differences from v1
Let's ensure this migration is properly sequenced and understand the changes from v1.
✅ Verification successful
Migration sequence verified and differences from v1 are consistent
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check migration ordering and compare with v1
# Check for previous versions
fd "billable_verifications.*\.sql" internal/clickhouse/schema/
# Look for related tables/views
rg "billable_verifications" internal/clickhouse/schema/
Length of output: 1831
Script:
#!/bin/bash
# Description: Corrected search for 'billable_verifications' within the clickhouse schema
# Look for related tables/views with the correct directory path
rg "billable_verifications" internal/clickhouse/schema/
Length of output: 1414
Script:
#!/bin/bash
# Description: Retrieve contents of v1 and v2 billable_verifications migration scripts
# Get contents of v1 table creation script
cat internal/clickhouse/schema/012_create_billing_billable_verifications_per_month_v1.sql
# Get contents of v1 materialized view creation script
cat internal/clickhouse/schema/013_create_billing_billable_verifications_per_month_mv_v1.sql
# Get contents of v2 migration script
cat internal/clickhouse/schema/025_create_billable_verifications_v2.sql
Length of output: 1691
internal/clickhouse/src/billing.ts (2)
51-51: Verify migration strategy for v2 table
The change from billable_verifications_per_month_v1 to v2 might require data migration. Please ensure:
- Data from v1 is migrated to v2 if needed
- No data loss during the transition
- Backward compatibility if both versions need to coexist
Let's check for migration scripts and table definitions:
16-16: Consider using v2 table for consistency
The function queries billing.billable_ratelimits_per_month_v1 while getBillableVerifications uses a v2 table. Should this also be using a v2 table for consistency?
Let's check if a v2 table exists:
✅ Verification successful
Confirmed: Using v1 table is correct
The billing.billable_ratelimits_per_month_v1 table is the current version. No v2 table exists.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for billable_ratelimits table definitions
rg -A 5 "CREATE TABLE.*billable_ratelimits.*v2"
Length of output: 49
Script:
#!/bin/bash
# List all billable_ratelimits table definitions
rg "CREATE TABLE.*billable_ratelimits"
# Search for migrations introducing v2 tables
rg "migration.*v2.*billable_ratelimits"
Length of output: 201
internal/clickhouse/src/index.ts (2)
2-2: LGTM: Clean import addition
The import statement correctly adds the new getBillableRatelimits function alongside the existing getBillableVerifications.
68-68: Verify API consumers are updated
The implementation cleanly adds rate limit billing capabilities following the established pattern. However, we should ensure all consumers of the billing API are updated to handle this new property.
apps/billing/src/lib/db-marketing/schemas/evals.ts (1)
1-2: LGTM! Import organization looks good.
The separation of imports improves readability and git diff clarity.
apps/billing/src/lib/search-query.ts (2)
6-6: LGTM: Import organization looks good
The reordering of imports maintains clarity and follows standard practices.
Line range hint 1-1: Verify database client usage
Given that the PR's objective is to move queries from "tb" to "ch" (ClickHouse), verify if this file should also be updated to use the ClickHouse client instead of the marketing database client.
#!/bin/bash
# Search for ClickHouse client usage patterns
rg -g '*.ts' 'from ["'\'']@/lib/(?:ch|clickhouse)' -A 5
# Search for similar files that might have been migrated
fd -e ts -e tsx -x grep -l "db-marketing" {} \; | xargs rg 'clickhouse'apps/billing/src/lib/db-marketing/schemas/sections.ts (1)
Line range hint 16-29: Verify the nullable status of the markdown field
The markdown field is nullable while description is required. Please confirm if this is intentional, as typically markdown content would be the primary content source.
Consider making both fields required or document why markdown is optional while description is mandatory.
apps/dashboard/lib/audit.ts (2)
8-53: LGTM! Well-structured schema definition
The schema effectively validates and transforms audit log data with proper typing. The transformation to a more structured object format improves type safety and usability.
Line range hint 1-183: Verify database migration compatibility
The PR title mentions moving queries from TimescaleDB to ClickHouse, but this file doesn't explicitly show the database transition. Ensure that:
- The schema definitions are compatible with ClickHouse
- The data types are properly mapped
- The existing data is migrated correctly
✅ Verification successful
Database migration handled correctly
The presence of ClickHouse-specific configurations and migration scripts indicates that the migration from TimescaleDB to ClickHouse is being managed appropriately.
- Migration scripts are present in the repository.
- Schema definitions are compatible with ClickHouse.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for ClickHouse-specific types or configurations
rg -l 'clickhouse|ClickHouse' .
# Look for migration scripts
fd -g '*migrate*.{ts,js,sql}'
# Check for other files using similar schema
ast-grep --pattern 'schema.auditLog'
Length of output: 14050
apps/billing/src/trigger/glossary/create-pr.ts (2)
3-4: LGTM! Import statements are well organized.
The reordering of imports maintains a logical grouping while keeping the code functionality intact.
Line range hint 92-117: Handle potential race condition in branch management
The check-then-act pattern when handling existing branches could lead to race conditions. Consider using a more atomic approach or adding retry logic.
apps/billing/src/trigger/glossary/_generate-glossary-entry.ts (1)
1-2: LGTM! Import statements are well organized.
The reorganization of imports improves code readability by grouping related imports together (database-related and task-related imports).
Also applies to: 6-10
apps/billing/src/trigger/glossary/seo-meta-tags.ts (3)
3-7: LGTM! Import statements are well-organized.
The imports are logically grouped and provide clear dependencies for the functionality.
Line range hint 1-100: Consider migrating database queries to ClickHouse
Given the PR objective to move queries from TimescaleDB to ClickHouse, this file contains several database operations that could be candidates for migration:
- Querying existing entries
- Fetching related keywords
- Fetching top-ranking pages
- Updating entries with new meta tags
Let's verify the database schema migrations and existing query patterns:
#!/bin/bash
# Description: Check for ClickHouse schema definitions and query patterns
# Look for ClickHouse schema definitions
echo "Searching for ClickHouse schema definitions..."
rg -l "createTable.*ClickHouse"
# Look for similar query patterns that have been migrated
echo "Searching for similar query patterns that have been migrated..."
rg "db\.query" --type ts
# Look for migration patterns
echo "Searching for migration patterns..."
fd -e sql -e ts "migrate|schema" Line range hint 22-33: Consider implementing rate limiting for OpenAI calls
The task uses GPT-4 which can be expensive. Consider implementing rate limiting to control costs.
Let's check for existing rate limiting implementations:
apps/billing/src/lib/firecrawl.ts (1)
Line range hint 19-116: Consider refactoring for better error handling and DRY principles
The function has several areas that could be improved:
- Error handling could be more specific about different types of errors (network, parsing, etc.).
- Database operations are duplicated across success/failure paths.
- The success/failure paths could be more clearly separated.
Consider extracting the database operations into a helper function:
async function upsertFirecrawlResponse(data: Partial<typeof firecrawlResponses.$inferInsert>) {
const [response] = await db
.insert(firecrawlResponses)
.values(data)
.onDuplicateKeyUpdate({
set: {
...data,
updatedAt: new Date(),
},
})
.$returningId();
return await db.query.firecrawlResponses.findFirst({
where: eq(firecrawlResponses.sourceUrl, data.sourceUrl),
});
}This would reduce duplication and make the main function cleaner.
Let's verify the error handling patterns in similar functions:
apps/billing/src/lib/keywords.ts (2)
1-7: LGTM! Import statements are well organized.
The imports are logically grouped with AI-related imports at the top, followed by database and schema-related imports.
Line range hint 83-89: Verify the OpenAI model alias exists.
The code uses gpt-4o-mini which appears to be a custom model alias. Ensure this model alias is properly configured in your OpenAI client setup.
apps/billing/src/trigger/glossary/draft-sections.ts (1)
3-7: LGTM! Import changes improve type safety.
The reordering of imports and addition of proper type imports from the schema enhance type safety and maintainability.
apps/dashboard/app/(app)/apis/[apiId]/page.tsx (1)
Line range hint 42-58: Verify complete migration of queries to ClickHouse
The PR's objective is to move queries from "tb" to "ch". While this component already uses ClickHouse for verification and active key metrics, let's verify no queries remain to be migrated.
✅ Verification successful
Complete migration of queries to ClickHouse confirmed.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for any remaining database queries that might need migration
# Look for patterns indicating traditional database usage
# Check for direct database queries
rg -l 'from\s+schema\.' --type typescript
# Check for specific table access patterns
rg -l 'schema\.(keys|verifications|active_keys)' --type typescript
# Look for potential migration TODOs
rg -l 'TODO.*migrate.*to.*ch' --type typescript
Length of output: 267
Script:
#!/bin/bash
# Search for any remaining database queries that might need migration
# Look for patterns indicating traditional database usage
# Check for direct database queries
rg -l 'from\s+schema\.' --type ts
# Check for specific table access patterns
rg -l 'schema\.(keys|verifications|active_keys)' --type ts
# Look for potential migration TODOs
rg -l 'TODO.*migrate.*to.*ch' --type ts
Length of output: 3742
Script:
#!/bin/bash
# Search for any remaining "tb" database queries that might need migration to "ch"
# Check for Teradata-specific schema references
rg -l 'schema_tb\.' --type ts
# Check for any connection strings or configurations referencing "tb"
rg -i -l 'connect.*tb' --type ts
# Check for comments or code indicating use of "tb"
rg -i -l 'use\s+tb' --type ts
Length of output: 98
apps/billing/src/trigger/glossary/evals.ts (4)
1-11: LGTM: Import section is well-organized
The import statements are properly organized and all imports are being used in the code.
Line range hint 14-27: LGTM: Type definitions are clear and well-structured
The type definitions provide good type safety and are used consistently throughout the tasks.
Line range hint 1-321: LGTM: Error handling and database operations are robust
The implementation demonstrates:
- Proper error handling with AbortTaskRunError
- Secure database operations with parameterized queries
- Consistent JSON handling for stored data
Line range hint 29-156: Consider extracting system prompts to constants
The system prompts are currently embedded in the task implementations. Consider extracting them to constants for better maintainability and reusability.
+const RATING_SYSTEM_PROMPT = `You are a Senior Technical Content Evaluator...`;
+const RECOMMENDATION_SYSTEM_PROMPT = `You are a Senior Technical Content Strategist...`;
export const getOrCreateRatingsTask = task({
// ...
- const systemPrompt = `You are a Senior Technical Content Evaluator...`;
+ const systemPrompt = RATING_SYSTEM_PROMPT;Verify the OpenAI model configuration
The code uses a custom model alias "gpt-4o-mini". Ensure this is correctly configured in your OpenAI client setup.
apps/billing/src/trigger/glossary/generate-outline.ts (2)
Line range hint 3-15: LGTM! Import organization improved
The consolidation of imports from db-marketing/schemas and the addition of type imports improves code organization and type safety.
Line range hint 197-211: LGTM! Well-structured schema definitions
The schema definitions are clear, properly typed with zod, and maintain good separation between initial and final outline structures.
apps/dashboard/app/(app)/settings/billing/page.tsx (1)
192-196: LGTM! Verify error handling for the new ClickHouse query.
The migration from ratelimits to clickhouse.billing.billableRatelimits looks good and maintains the same interface. The results are properly integrated into the billing calculations.
Let's verify the error handling in the new ClickHouse implementation:
apps/dashboard/lib/trpc/routers/key/createRootKey.ts (1)
1-1: Verify the correctness of the updated import path
The import path for UnkeyAuditLog has been changed from "@/lib/tinybird" to "@/lib/audit". Please ensure that UnkeyAuditLog is correctly exported from the new module and that all references are updated accordingly.
Run the following script to confirm that UnkeyAuditLog is exported from "@/lib/audit":
✅ Verification successful
Import path for UnkeyAuditLog is correct and properly exported
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that UnkeyAuditLog is exported from "@/lib/audit"
# Find the 'audit.ts' file in the 'lib' directory and search for the export of UnkeyAuditLog
fd 'audit.ts' lib --exec rg 'export.*UnkeyAuditLog' {} \;
Length of output: 151
Script:
#!/bin/bash
# Description: Locate 'audit.ts' in the repository and verify that UnkeyAuditLog is exported
# Search for 'audit.ts' anywhere in the repository
audit_files=$(fd 'audit.ts' .)
if [ -z "$audit_files" ]; then
echo "No audit.ts file found in the repository."
exit 1
fi
# Check each found 'audit.ts' for the export of UnkeyAuditLog
for file in $audit_files; do
rg 'export\s+.*UnkeyAuditLog' "$file"
done
Length of output: 412
apps/dashboard/lib/trpc/routers/rbac.ts (1)
3-3: Import statement updated appropriately
The addition of UnkeyAuditLog to the import ensures the necessary type is available for audit logging within the file.
| resources: z.string().transform((rs) => | ||
| z | ||
| .array( | ||
| z.object({ | ||
| type: z.string(), | ||
| id: z.string(), | ||
| meta: z.record(z.union([z.string(), z.number(), z.boolean(), z.null()])).optional(), | ||
| }), | ||
| ) | ||
| .parse(JSON.parse(rs)), | ||
| ), |
There was a problem hiding this comment.
Add input validation before JSON.parse
The direct use of JSON.parse without try-catch could throw on invalid JSON input. Consider adding validation or error handling.
resources: z.string().transform((rs) =>
- z
- .array(
+ z.preprocess((val) => {
+ try {
+ return JSON.parse(rs);
+ } catch {
+ return [];
+ }
+ }, z.array(Committable suggestion skipped: line range outside the PR's diff.
| @@ -1,13 +1,13 @@ | |||
| import { db } from "@/lib/db-marketing/client"; | |||
There was a problem hiding this comment.
💡 Codebase verification
Update the import to use the ClickHouse client.
The file apps/billing/src/trigger/glossary/_generate-glossary-entry.ts is still importing the old db-marketing client. Please migrate this to use the ClickHouse client to align with the PR objectives.
🔗 Analysis chain
Verify database client migration to ClickHouse.
Based on the PR objectives to "move more queries from tb to ch", should this import still be using the marketing database client or should it be migrated to use the ClickHouse client?
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for any new ClickHouse database client implementations
rg -g '!node_modules' -g '!dist' -A 5 'clickhouse|ch-client'
# Search for similar database operations that might have been migrated
ast-grep --pattern 'db.query.entries.findFirst'
Length of output: 61314
| const prompt = `Summarize the following content for the term "${ | ||
| connectTo.term | ||
| }" that's ranking #${serperResult?.position ?? "unknown"}: |
There was a problem hiding this comment.
Sanitize user input in prompt construction
The template literal directly interpolates user input (connectTo.term) into the prompt, which could potentially lead to prompt injection vulnerabilities.
Consider sanitizing the input:
- const prompt = `Summarize the following content for the term "${
- connectTo.term
- }" that's ranking #${serperResult?.position ?? "unknown"}:
+ const prompt = `Summarize the following content for the term "${
+ sanitizeInput(connectTo.term)
+ }" that's ranking #${serperResult?.position ?? "unknown"}:Committable suggestion skipped: line range outside the PR's diff.
| const successOverTime: { x: string; y: number }[] = []; | ||
| const ratelimitedOverTime: { x: string; y: number }[] = []; | ||
| const usageExceededOverTime: { x: string; y: number }[] = []; | ||
| const disabledOverTime: { x: string; y: number }[] = []; | ||
| const insufficientPermissionsOverTime: { x: string; y: number }[] = []; | ||
| const expiredOverTime: { x: string; y: number }[] = []; | ||
| const forbiddenOverTime: { x: string; y: number }[] = []; | ||
| const emptyOverTime: { x: string; y: number }[] = []; | ||
| const _emptyOverTime: { x: string; y: number }[] = []; |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove unused variable _emptyOverTime
The variable _emptyOverTime is declared but never used throughout the component. While prefixing with underscore indicates intent to mark it as unused, it would be cleaner to remove it entirely.
- const _emptyOverTime: { x: string; y: number }[] = [];📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const _emptyOverTime: { x: string; y: number }[] = []; |
Summary by CodeRabbit
Release Notes
New Features
evalstable for enhanced data structure.Improvements
Refactor
Bug Fixes