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Author SHA1 Message Date
GareArcandXiyuan Chen 485438043f fix(docker): pin npm to 11.x in the API image
npm@latest resolves to 12.0.1, which requires node ^22.22.2 || ^24.15.0 ||
>=26.0.0. The image pins NODE_PACKAGE_VERSION=22.22.0, so the install fails
with EBADENGINE and the API build cannot complete.

The float is the defect: this step passed until npm 12 raised its node floor.
Pin the major so the build stops depending on npm's release schedule.
2026-07-20 20:54:24 -07:00
GareArcandXiyuan Chen c01e3e7b8c refactor: align timeout config name with main
main already defines ENTERPRISE_REQUEST_TIMEOUT for the same purpose
(added in #33158, which is not an ancestor of this branch). Introducing
ENTERPRISE_API_TIMEOUT here would leave two env vars controlling one
behavior once this branch merges forward, silently orphaning any
deployment configured on the old name.

Match main's name and int type. The default stays 90 on this branch.
2026-07-20 20:54:24 -07:00
GareArcandXiyuan Chen c2ac76f013 feat: make enterprise inner API timeout configurable
Requests to the enterprise inner API relied on httpx's implicit 5s default.
On tenants with many installed apps, POST /webapp/permission/batch exceeds
that budget and the Explore page fails with httpx.ReadTimeout.

Expose ENTERPRISE_API_TIMEOUT so the budget can be raised per deployment,
defaulting to 90s to sit above the enterprise server's own 60s request
timeout rather than racing it.
2026-07-20 20:54:24 -07:00
Byron Wang 127c37f8c3 install corepack before enable 2026-03-15 17:05:57 +08:00
Byron Wang b36e87f163 clean up the label 2026-03-15 16:54:43 +08:00
Byron Wang 5e3387f38a update the pyproject.yaml 2026-03-01 16:50:55 +08:00
Byron Wang 1cdae16b28 update web and api dockerfile 2026-03-01 15:11:14 +08:00
Byron Wang 1b64f642e6 update the web Dockerfile 2026-02-12 16:25:52 +08:00
Byron Wang 24ecc3e558 uv sync 2026-02-12 15:57:45 +08:00
Byron Wang e1b7b0f81d remove the weaviate and update dockerfiles 2026-02-12 15:56:55 +08:00
Byron Wang 32d6747ff2 delete vdb tablestore and dependencies 2026-02-11 19:26:23 +08:00
Byron Wang 6bb6a08769 bump weave versions 2026-02-11 17:54:11 +08:00
Byron Wang 6ea4b8ff31 upgrade setuptools version to 82.0.0 2026-02-10 18:14:49 +08:00
Byron Wang 065a69ced0 bump weave version and regenerate lock 2026-02-10 17:40:22 +08:00
Byron Wang 615da29433 bump unstructured pypi version 2026-02-10 16:22:12 +08:00
Byron Wang 16ef73cd76 remove unused stage 2026-02-10 15:46:22 +08:00
Byron Wang 6a9009f7e3 fix /app already exist in docker build 2026-02-10 15:29:55 +08:00
Byron Wang 6b60e93dfc update dify web base image to dhi base 2026-02-10 15:22:13 +08:00
Byron Wang e532b6e882 update api base image to dhi base 2026-02-10 15:16:15 +08:00
3d2aea11a3 Update api/services/tools/builtin_tools_manage_service.py
Co-authored-by: Copilot <[email protected]>
2026-02-04 18:35:15 -08:00
NFishandGitHub c727d99e55 fix: hide invite button if current user is not workspace manager (#31742) 2026-01-30 15:35:11 +08:00
yunlu.wen ffc18bf318 chore: upgrade deps, see pull #30976 2026-01-28 13:02:01 +08:00
7623990f7b chore: sync enterprise release (#31626)
Co-authored-by: zhsama <[email protected]>
2026-01-28 10:39:35 +08:00
NFishandGitHub 0c4c912f8a fix: enterprise CVE 2026 23864 (#31599) 2026-01-27 16:13:18 +08:00
GareArc 6fd5df658c fix: add TYPE_CHECKING import for Account type annotation 2026-01-26 16:08:09 -08:00
GareArc 69b11cc364 security: fix IDOR and privilege escalation in set_default_provider
- Add tenant_id verification to prevent IDOR attacks
- Add admin check for enterprise tenant-wide default changes
- Preserve non-enterprise behavior (users can set own defaults)
2026-01-26 16:01:06 -08:00
GareArc 57721225b9 fix: remove user_id filter when clearing default provider (enterprise only)
When setting a new default credential in enterprise mode, the code was
only clearing is_default for credentials matching the current user_id.
This caused issues when:
1. Enterprise credential A (synced with system user_id) was default
2. User sets local credential B as default
3. A still had is_default=true (different user_id)
4. Both A and B were considered defaults

The fix removes user_id from the filter only for enterprise deployments,
since enterprise credentials may have different user_id than local ones.
Non-enterprise behavior is unchanged to avoid breaking existing setups.

Fixes EE-1511
2026-01-26 15:43:13 -08:00
GareArc 68dfb3d4d9 feat: add redis mq for account deletion cleanup 2026-01-25 22:38:19 -08:00
Xiyuan ChenandGareArc 7058de7a88 feat: implement workspace permission checks for member invitations an… (#31202) 2026-01-25 21:21:58 -08:00
NFishandNFish 9c75061bdd feat: ee workspace permission control (#30841) 2026-01-26 13:16:02 +08:00
wangxiaolei d7509e6cdd fix: fix visibilityState event handle (#31354) 2026-01-22 11:25:20 +08:00
wangxiaolei 5cd11a0071 fix: remove _try_resolve_user_from_request (#31360) 2026-01-22 11:25:06 +08:00
wangxiaolei 37c2f3d4b6 fix: fix instance is not bind to session (#30913) 2026-01-21 17:05:13 +08:00
CodingOnStar fa56c53aaf fix(i18n): update model provider tip to only mention OpenAI in English, Japanese, and Simplified Chinese translations 2026-01-21 15:50:49 +08:00
CodingOnStar 500428331b chore(web): comment out unused provider entries in quota panel 2026-01-21 11:28:38 +08:00
wangxiaoleiand-LAN- acfd34e876 fix: fix Cannot destructure property 'name' of 'value' as it is undef… (#30991) 2026-01-15 13:25:30 +08:00
-LAN- 036a7cf839 chore: bump version to 1.11.4 (#30961) 2026-01-15 11:40:33 +08:00
Stephen Zhouand-LAN- 86beacc64f build: require node 24.13.0 (#30945) 2026-01-15 11:40:27 +08:00
wangxiaoleiand-LAN- 2c6bd90d6f fix: fix missing id and message_id (#31008) 2026-01-15 11:40:13 +08:00
Stephen Zhouand-LAN- f5aaa8f97e fix: redirect after login (#30985) 2026-01-15 11:40:02 +08:00
327 changed files with 7334 additions and 31119 deletions
-1
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@@ -1 +0,0 @@
../.claude/skills
+7 -5
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@@ -1,4 +1,11 @@
{
"enabledPlugins": {
"feature-dev@claude-plugins-official": true,
"context7@claude-plugins-official": true,
"typescript-lsp@claude-plugins-official": true,
"pyright-lsp@claude-plugins-official": true,
"ralph-loop@claude-plugins-official": true
},
"hooks": {
"PreToolUse": [
{
@@ -11,10 +18,5 @@
]
}
]
},
"enabledPlugins": {
"feature-dev@claude-plugins-official": true,
"context7@claude-plugins-official": true,
"ralph-loop@claude-plugins-official": true
}
}
+1 -4
View File
@@ -83,9 +83,6 @@ vi.mock('next/navigation', () => ({
usePathname: () => '/test',
}))
// ✅ Zustand stores: Use real stores (auto-mocked globally)
// Set test state with: useAppStore.setState({ ... })
// Shared state for mocks (if needed)
let mockSharedState = false
@@ -299,7 +296,7 @@ For each test file generated, aim for:
For more detailed information, refer to:
- `references/workflow.md` - **Incremental testing workflow** (MUST READ for multi-file testing)
- `references/mocking.md` - Mock patterns, Zustand store testing, and best practices
- `references/mocking.md` - Mock patterns and best practices
- `references/async-testing.md` - Async operations and API calls
- `references/domain-components.md` - Workflow, Dataset, Configuration testing
- `references/common-patterns.md` - Frequently used testing patterns
@@ -37,36 +37,16 @@ Only mock these categories:
1. **Third-party libraries with side effects** - `next/navigation`, external SDKs
1. **i18n** - Always mock to return keys
### Zustand Stores - DO NOT Mock Manually
**Zustand is globally mocked** in `web/vitest.setup.ts`. Use real stores with `setState()`:
```typescript
// ✅ CORRECT: Use real store, set test state
import { useAppStore } from '@/app/components/app/store'
useAppStore.setState({ appDetail: { id: 'test', name: 'Test' } })
render(<MyComponent />)
// ❌ WRONG: Don't mock the store module
vi.mock('@/app/components/app/store', () => ({ ... }))
```
See [Zustand Store Testing](#zustand-store-testing) section for full details.
## Mock Placement
| Location | Purpose |
|----------|---------|
| `web/vitest.setup.ts` | Global mocks shared by all tests (`react-i18next`, `next/image`, `zustand`) |
| `web/__mocks__/zustand.ts` | Zustand mock implementation (auto-resets stores after each test) |
| `web/vitest.setup.ts` | Global mocks shared by all tests (for example `react-i18next`, `next/image`) |
| `web/__mocks__/` | Reusable mock factories shared across multiple test files |
| Test file | Test-specific mocks, inline with `vi.mock()` |
Modules are not mocked automatically. Use `vi.mock` in test files, or add global mocks in `web/vitest.setup.ts`.
**Note**: Zustand is special - it's globally mocked but you should NOT mock store modules manually. See [Zustand Store Testing](#zustand-store-testing).
## Essential Mocks
### 1. i18n (Auto-loaded via Global Mock)
@@ -296,7 +276,6 @@ const renderWithQueryClient = (ui: React.ReactElement) => {
1. **Use real base components** - Import from `@/app/components/base/` directly
1. **Use real project components** - Prefer importing over mocking
1. **Use real Zustand stores** - Set test state via `store.setState()`
1. **Reset mocks in `beforeEach`**, not `afterEach`
1. **Match actual component behavior** in mocks (when mocking is necessary)
1. **Use factory functions** for complex mock data
@@ -306,7 +285,6 @@ const renderWithQueryClient = (ui: React.ReactElement) => {
### ❌ DON'T
1. **Don't mock base components** (`Loading`, `Button`, `Tooltip`, etc.)
1. **Don't mock Zustand store modules** - Use real stores with `setState()`
1. Don't mock components you can import directly
1. Don't create overly simplified mocks that miss conditional logic
1. Don't forget to clean up nock after each test
@@ -330,151 +308,10 @@ Need to use a component in test?
├─ Is it a third-party lib with side effects?
│ └─ YES → Mock it (next/navigation, external SDKs)
├─ Is it a Zustand store?
│ └─ YES → DO NOT mock the module!
│ Use real store + setState() to set test state
│ (Global mock handles auto-reset)
└─ Is it i18n?
└─ YES → Uses shared mock (auto-loaded). Override only for custom translations
```
## Zustand Store Testing
### Global Zustand Mock (Auto-loaded)
Zustand is globally mocked in `web/vitest.setup.ts` following the [official Zustand testing guide](https://zustand.docs.pmnd.rs/guides/testing). The mock in `web/__mocks__/zustand.ts` provides:
- Real store behavior with `getState()`, `setState()`, `subscribe()` methods
- Automatic store reset after each test via `afterEach`
- Proper test isolation between tests
### ✅ Recommended: Use Real Stores (Official Best Practice)
**DO NOT mock store modules manually.** Import and use the real store, then use `setState()` to set test state:
```typescript
// ✅ CORRECT: Use real store with setState
import { useAppStore } from '@/app/components/app/store'
describe('MyComponent', () => {
it('should render app details', () => {
// Arrange: Set test state via setState
useAppStore.setState({
appDetail: {
id: 'test-app',
name: 'Test App',
mode: 'chat',
},
})
// Act
render(<MyComponent />)
// Assert
expect(screen.getByText('Test App')).toBeInTheDocument()
// Can also verify store state directly
expect(useAppStore.getState().appDetail?.name).toBe('Test App')
})
// No cleanup needed - global mock auto-resets after each test
})
```
### ❌ Avoid: Manual Store Module Mocking
Manual mocking conflicts with the global Zustand mock and loses store functionality:
```typescript
// ❌ WRONG: Don't mock the store module
vi.mock('@/app/components/app/store', () => ({
useStore: (selector) => mockSelector(selector), // Missing getState, setState!
}))
// ❌ WRONG: This conflicts with global zustand mock
vi.mock('@/app/components/workflow/store', () => ({
useWorkflowStore: vi.fn(() => mockState),
}))
```
**Problems with manual mocking:**
1. Loses `getState()`, `setState()`, `subscribe()` methods
1. Conflicts with global Zustand mock behavior
1. Requires manual maintenance of store API
1. Tests don't reflect actual store behavior
### When Manual Store Mocking is Necessary
In rare cases where the store has complex initialization or side effects, you can mock it, but ensure you provide the full store API:
```typescript
// If you MUST mock (rare), include full store API
const mockStore = {
appDetail: { id: 'test', name: 'Test' },
setAppDetail: vi.fn(),
}
vi.mock('@/app/components/app/store', () => ({
useStore: Object.assign(
(selector: (state: typeof mockStore) => unknown) => selector(mockStore),
{
getState: () => mockStore,
setState: vi.fn(),
subscribe: vi.fn(),
},
),
}))
```
### Store Testing Decision Tree
```
Need to test a component using Zustand store?
├─ Can you use the real store?
│ └─ YES → Use real store + setState (RECOMMENDED)
│ useAppStore.setState({ ... })
├─ Does the store have complex initialization/side effects?
│ └─ YES → Consider mocking, but include full API
│ (getState, setState, subscribe)
└─ Are you testing the store itself (not a component)?
└─ YES → Test store directly with getState/setState
const store = useMyStore
store.setState({ count: 0 })
store.getState().increment()
expect(store.getState().count).toBe(1)
```
### Example: Testing Store Actions
```typescript
import { useCounterStore } from '@/stores/counter'
describe('Counter Store', () => {
it('should increment count', () => {
// Initial state (auto-reset by global mock)
expect(useCounterStore.getState().count).toBe(0)
// Call action
useCounterStore.getState().increment()
// Verify state change
expect(useCounterStore.getState().count).toBe(1)
})
it('should reset to initial state', () => {
// Set some state
useCounterStore.setState({ count: 100 })
expect(useCounterStore.getState().count).toBe(100)
// After this test, global mock will reset to initial state
})
})
```
## Factory Function Pattern
```typescript
@@ -1,46 +0,0 @@
---
name: orpc-contract-first
description: Guide for implementing oRPC contract-first API patterns in Dify frontend. Triggers when creating new API contracts, adding service endpoints, integrating TanStack Query with typed contracts, or migrating legacy service calls to oRPC. Use for all API layer work in web/contract and web/service directories.
---
# oRPC Contract-First Development
## Project Structure
```
web/contract/
├── base.ts # Base contract (inputStructure: 'detailed')
├── router.ts # Router composition & type exports
├── marketplace.ts # Marketplace contracts
└── console/ # Console contracts by domain
├── system.ts
└── billing.ts
```
## Workflow
1. **Create contract** in `web/contract/console/{domain}.ts`
- Import `base` from `../base` and `type` from `@orpc/contract`
- Define route with `path`, `method`, `input`, `output`
2. **Register in router** at `web/contract/router.ts`
- Import directly from domain file (no barrel files)
- Nest by API prefix: `billing: { invoices, bindPartnerStack }`
3. **Create hooks** in `web/service/use-{domain}.ts`
- Use `consoleQuery.{group}.{contract}.queryKey()` for query keys
- Use `consoleClient.{group}.{contract}()` for API calls
## Key Rules
- **Input structure**: Always use `{ params, query?, body? }` format
- **Path params**: Use `{paramName}` in path, match in `params` object
- **Router nesting**: Group by API prefix (e.g., `/billing/*``billing: {}`)
- **No barrel files**: Import directly from specific files
- **Types**: Import from `@/types/`, use `type<T>()` helper
## Type Export
```typescript
export type ConsoleInputs = InferContractRouterInputs<typeof consoleRouterContract>
```
File diff suppressed because it is too large Load Diff
@@ -1,125 +0,0 @@
---
name: vercel-react-best-practices
description: React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
license: MIT
metadata:
author: vercel
version: "1.0.0"
---
# Vercel React Best Practices
Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.
## When to Apply
Reference these guidelines when:
- Writing new React components or Next.js pages
- Implementing data fetching (client or server-side)
- Reviewing code for performance issues
- Refactoring existing React/Next.js code
- Optimizing bundle size or load times
## Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|----------|----------|--------|--------|
| 1 | Eliminating Waterfalls | CRITICAL | `async-` |
| 2 | Bundle Size Optimization | CRITICAL | `bundle-` |
| 3 | Server-Side Performance | HIGH | `server-` |
| 4 | Client-Side Data Fetching | MEDIUM-HIGH | `client-` |
| 5 | Re-render Optimization | MEDIUM | `rerender-` |
| 6 | Rendering Performance | MEDIUM | `rendering-` |
| 7 | JavaScript Performance | LOW-MEDIUM | `js-` |
| 8 | Advanced Patterns | LOW | `advanced-` |
## Quick Reference
### 1. Eliminating Waterfalls (CRITICAL)
- `async-defer-await` - Move await into branches where actually used
- `async-parallel` - Use Promise.all() for independent operations
- `async-dependencies` - Use better-all for partial dependencies
- `async-api-routes` - Start promises early, await late in API routes
- `async-suspense-boundaries` - Use Suspense to stream content
### 2. Bundle Size Optimization (CRITICAL)
- `bundle-barrel-imports` - Import directly, avoid barrel files
- `bundle-dynamic-imports` - Use next/dynamic for heavy components
- `bundle-defer-third-party` - Load analytics/logging after hydration
- `bundle-conditional` - Load modules only when feature is activated
- `bundle-preload` - Preload on hover/focus for perceived speed
### 3. Server-Side Performance (HIGH)
- `server-cache-react` - Use React.cache() for per-request deduplication
- `server-cache-lru` - Use LRU cache for cross-request caching
- `server-serialization` - Minimize data passed to client components
- `server-parallel-fetching` - Restructure components to parallelize fetches
- `server-after-nonblocking` - Use after() for non-blocking operations
### 4. Client-Side Data Fetching (MEDIUM-HIGH)
- `client-swr-dedup` - Use SWR for automatic request deduplication
- `client-event-listeners` - Deduplicate global event listeners
### 5. Re-render Optimization (MEDIUM)
- `rerender-defer-reads` - Don't subscribe to state only used in callbacks
- `rerender-memo` - Extract expensive work into memoized components
- `rerender-dependencies` - Use primitive dependencies in effects
- `rerender-derived-state` - Subscribe to derived booleans, not raw values
- `rerender-functional-setstate` - Use functional setState for stable callbacks
- `rerender-lazy-state-init` - Pass function to useState for expensive values
- `rerender-transitions` - Use startTransition for non-urgent updates
### 6. Rendering Performance (MEDIUM)
- `rendering-animate-svg-wrapper` - Animate div wrapper, not SVG element
- `rendering-content-visibility` - Use content-visibility for long lists
- `rendering-hoist-jsx` - Extract static JSX outside components
- `rendering-svg-precision` - Reduce SVG coordinate precision
- `rendering-hydration-no-flicker` - Use inline script for client-only data
- `rendering-activity` - Use Activity component for show/hide
- `rendering-conditional-render` - Use ternary, not && for conditionals
### 7. JavaScript Performance (LOW-MEDIUM)
- `js-batch-dom-css` - Group CSS changes via classes or cssText
- `js-index-maps` - Build Map for repeated lookups
- `js-cache-property-access` - Cache object properties in loops
- `js-cache-function-results` - Cache function results in module-level Map
- `js-cache-storage` - Cache localStorage/sessionStorage reads
- `js-combine-iterations` - Combine multiple filter/map into one loop
- `js-length-check-first` - Check array length before expensive comparison
- `js-early-exit` - Return early from functions
- `js-hoist-regexp` - Hoist RegExp creation outside loops
- `js-min-max-loop` - Use loop for min/max instead of sort
- `js-set-map-lookups` - Use Set/Map for O(1) lookups
- `js-tosorted-immutable` - Use toSorted() for immutability
### 8. Advanced Patterns (LOW)
- `advanced-event-handler-refs` - Store event handlers in refs
- `advanced-use-latest` - useLatest for stable callback refs
## How to Use
Read individual rule files for detailed explanations and code examples:
```
rules/async-parallel.md
rules/bundle-barrel-imports.md
rules/_sections.md
```
Each rule file contains:
- Brief explanation of why it matters
- Incorrect code example with explanation
- Correct code example with explanation
- Additional context and references
## Full Compiled Document
For the complete guide with all rules expanded: `AGENTS.md`
@@ -1,55 +0,0 @@
---
title: Store Event Handlers in Refs
impact: LOW
impactDescription: stable subscriptions
tags: advanced, hooks, refs, event-handlers, optimization
---
## Store Event Handlers in Refs
Store callbacks in refs when used in effects that shouldn't re-subscribe on callback changes.
**Incorrect (re-subscribes on every render):**
```tsx
function useWindowEvent(event: string, handler: (e) => void) {
useEffect(() => {
window.addEventListener(event, handler)
return () => window.removeEventListener(event, handler)
}, [event, handler])
}
```
**Correct (stable subscription):**
```tsx
function useWindowEvent(event: string, handler: (e) => void) {
const handlerRef = useRef(handler)
useEffect(() => {
handlerRef.current = handler
}, [handler])
useEffect(() => {
const listener = (e) => handlerRef.current(e)
window.addEventListener(event, listener)
return () => window.removeEventListener(event, listener)
}, [event])
}
```
**Alternative: use `useEffectEvent` if you're on latest React:**
```tsx
import { useEffectEvent } from 'react'
function useWindowEvent(event: string, handler: (e) => void) {
const onEvent = useEffectEvent(handler)
useEffect(() => {
window.addEventListener(event, onEvent)
return () => window.removeEventListener(event, onEvent)
}, [event])
}
```
`useEffectEvent` provides a cleaner API for the same pattern: it creates a stable function reference that always calls the latest version of the handler.
@@ -1,49 +0,0 @@
---
title: useLatest for Stable Callback Refs
impact: LOW
impactDescription: prevents effect re-runs
tags: advanced, hooks, useLatest, refs, optimization
---
## useLatest for Stable Callback Refs
Access latest values in callbacks without adding them to dependency arrays. Prevents effect re-runs while avoiding stale closures.
**Implementation:**
```typescript
function useLatest<T>(value: T) {
const ref = useRef(value)
useLayoutEffect(() => {
ref.current = value
}, [value])
return ref
}
```
**Incorrect (effect re-runs on every callback change):**
```tsx
function SearchInput({ onSearch }: { onSearch: (q: string) => void }) {
const [query, setQuery] = useState('')
useEffect(() => {
const timeout = setTimeout(() => onSearch(query), 300)
return () => clearTimeout(timeout)
}, [query, onSearch])
}
```
**Correct (stable effect, fresh callback):**
```tsx
function SearchInput({ onSearch }: { onSearch: (q: string) => void }) {
const [query, setQuery] = useState('')
const onSearchRef = useLatest(onSearch)
useEffect(() => {
const timeout = setTimeout(() => onSearchRef.current(query), 300)
return () => clearTimeout(timeout)
}, [query])
}
```
@@ -1,38 +0,0 @@
---
title: Prevent Waterfall Chains in API Routes
impact: CRITICAL
impactDescription: 2-10× improvement
tags: api-routes, server-actions, waterfalls, parallelization
---
## Prevent Waterfall Chains in API Routes
In API routes and Server Actions, start independent operations immediately, even if you don't await them yet.
**Incorrect (config waits for auth, data waits for both):**
```typescript
export async function GET(request: Request) {
const session = await auth()
const config = await fetchConfig()
const data = await fetchData(session.user.id)
return Response.json({ data, config })
}
```
**Correct (auth and config start immediately):**
```typescript
export async function GET(request: Request) {
const sessionPromise = auth()
const configPromise = fetchConfig()
const session = await sessionPromise
const [config, data] = await Promise.all([
configPromise,
fetchData(session.user.id)
])
return Response.json({ data, config })
}
```
For operations with more complex dependency chains, use `better-all` to automatically maximize parallelism (see Dependency-Based Parallelization).
@@ -1,80 +0,0 @@
---
title: Defer Await Until Needed
impact: HIGH
impactDescription: avoids blocking unused code paths
tags: async, await, conditional, optimization
---
## Defer Await Until Needed
Move `await` operations into the branches where they're actually used to avoid blocking code paths that don't need them.
**Incorrect (blocks both branches):**
```typescript
async function handleRequest(userId: string, skipProcessing: boolean) {
const userData = await fetchUserData(userId)
if (skipProcessing) {
// Returns immediately but still waited for userData
return { skipped: true }
}
// Only this branch uses userData
return processUserData(userData)
}
```
**Correct (only blocks when needed):**
```typescript
async function handleRequest(userId: string, skipProcessing: boolean) {
if (skipProcessing) {
// Returns immediately without waiting
return { skipped: true }
}
// Fetch only when needed
const userData = await fetchUserData(userId)
return processUserData(userData)
}
```
**Another example (early return optimization):**
```typescript
// Incorrect: always fetches permissions
async function updateResource(resourceId: string, userId: string) {
const permissions = await fetchPermissions(userId)
const resource = await getResource(resourceId)
if (!resource) {
return { error: 'Not found' }
}
if (!permissions.canEdit) {
return { error: 'Forbidden' }
}
return await updateResourceData(resource, permissions)
}
// Correct: fetches only when needed
async function updateResource(resourceId: string, userId: string) {
const resource = await getResource(resourceId)
if (!resource) {
return { error: 'Not found' }
}
const permissions = await fetchPermissions(userId)
if (!permissions.canEdit) {
return { error: 'Forbidden' }
}
return await updateResourceData(resource, permissions)
}
```
This optimization is especially valuable when the skipped branch is frequently taken, or when the deferred operation is expensive.
@@ -1,36 +0,0 @@
---
title: Dependency-Based Parallelization
impact: CRITICAL
impactDescription: 2-10× improvement
tags: async, parallelization, dependencies, better-all
---
## Dependency-Based Parallelization
For operations with partial dependencies, use `better-all` to maximize parallelism. It automatically starts each task at the earliest possible moment.
**Incorrect (profile waits for config unnecessarily):**
```typescript
const [user, config] = await Promise.all([
fetchUser(),
fetchConfig()
])
const profile = await fetchProfile(user.id)
```
**Correct (config and profile run in parallel):**
```typescript
import { all } from 'better-all'
const { user, config, profile } = await all({
async user() { return fetchUser() },
async config() { return fetchConfig() },
async profile() {
return fetchProfile((await this.$.user).id)
}
})
```
Reference: [https://github.com/shuding/better-all](https://github.com/shuding/better-all)
@@ -1,28 +0,0 @@
---
title: Promise.all() for Independent Operations
impact: CRITICAL
impactDescription: 2-10× improvement
tags: async, parallelization, promises, waterfalls
---
## Promise.all() for Independent Operations
When async operations have no interdependencies, execute them concurrently using `Promise.all()`.
**Incorrect (sequential execution, 3 round trips):**
```typescript
const user = await fetchUser()
const posts = await fetchPosts()
const comments = await fetchComments()
```
**Correct (parallel execution, 1 round trip):**
```typescript
const [user, posts, comments] = await Promise.all([
fetchUser(),
fetchPosts(),
fetchComments()
])
```
@@ -1,99 +0,0 @@
---
title: Strategic Suspense Boundaries
impact: HIGH
impactDescription: faster initial paint
tags: async, suspense, streaming, layout-shift
---
## Strategic Suspense Boundaries
Instead of awaiting data in async components before returning JSX, use Suspense boundaries to show the wrapper UI faster while data loads.
**Incorrect (wrapper blocked by data fetching):**
```tsx
async function Page() {
const data = await fetchData() // Blocks entire page
return (
<div>
<div>Sidebar</div>
<div>Header</div>
<div>
<DataDisplay data={data} />
</div>
<div>Footer</div>
</div>
)
}
```
The entire layout waits for data even though only the middle section needs it.
**Correct (wrapper shows immediately, data streams in):**
```tsx
function Page() {
return (
<div>
<div>Sidebar</div>
<div>Header</div>
<div>
<Suspense fallback={<Skeleton />}>
<DataDisplay />
</Suspense>
</div>
<div>Footer</div>
</div>
)
}
async function DataDisplay() {
const data = await fetchData() // Only blocks this component
return <div>{data.content}</div>
}
```
Sidebar, Header, and Footer render immediately. Only DataDisplay waits for data.
**Alternative (share promise across components):**
```tsx
function Page() {
// Start fetch immediately, but don't await
const dataPromise = fetchData()
return (
<div>
<div>Sidebar</div>
<div>Header</div>
<Suspense fallback={<Skeleton />}>
<DataDisplay dataPromise={dataPromise} />
<DataSummary dataPromise={dataPromise} />
</Suspense>
<div>Footer</div>
</div>
)
}
function DataDisplay({ dataPromise }: { dataPromise: Promise<Data> }) {
const data = use(dataPromise) // Unwraps the promise
return <div>{data.content}</div>
}
function DataSummary({ dataPromise }: { dataPromise: Promise<Data> }) {
const data = use(dataPromise) // Reuses the same promise
return <div>{data.summary}</div>
}
```
Both components share the same promise, so only one fetch occurs. Layout renders immediately while both components wait together.
**When NOT to use this pattern:**
- Critical data needed for layout decisions (affects positioning)
- SEO-critical content above the fold
- Small, fast queries where suspense overhead isn't worth it
- When you want to avoid layout shift (loading → content jump)
**Trade-off:** Faster initial paint vs potential layout shift. Choose based on your UX priorities.
@@ -1,59 +0,0 @@
---
title: Avoid Barrel File Imports
impact: CRITICAL
impactDescription: 200-800ms import cost, slow builds
tags: bundle, imports, tree-shaking, barrel-files, performance
---
## Avoid Barrel File Imports
Import directly from source files instead of barrel files to avoid loading thousands of unused modules. **Barrel files** are entry points that re-export multiple modules (e.g., `index.js` that does `export * from './module'`).
Popular icon and component libraries can have **up to 10,000 re-exports** in their entry file. For many React packages, **it takes 200-800ms just to import them**, affecting both development speed and production cold starts.
**Why tree-shaking doesn't help:** When a library is marked as external (not bundled), the bundler can't optimize it. If you bundle it to enable tree-shaking, builds become substantially slower analyzing the entire module graph.
**Incorrect (imports entire library):**
```tsx
import { Check, X, Menu } from 'lucide-react'
// Loads 1,583 modules, takes ~2.8s extra in dev
// Runtime cost: 200-800ms on every cold start
import { Button, TextField } from '@mui/material'
// Loads 2,225 modules, takes ~4.2s extra in dev
```
**Correct (imports only what you need):**
```tsx
import Check from 'lucide-react/dist/esm/icons/check'
import X from 'lucide-react/dist/esm/icons/x'
import Menu from 'lucide-react/dist/esm/icons/menu'
// Loads only 3 modules (~2KB vs ~1MB)
import Button from '@mui/material/Button'
import TextField from '@mui/material/TextField'
// Loads only what you use
```
**Alternative (Next.js 13.5+):**
```js
// next.config.js - use optimizePackageImports
module.exports = {
experimental: {
optimizePackageImports: ['lucide-react', '@mui/material']
}
}
// Then you can keep the ergonomic barrel imports:
import { Check, X, Menu } from 'lucide-react'
// Automatically transformed to direct imports at build time
```
Direct imports provide 15-70% faster dev boot, 28% faster builds, 40% faster cold starts, and significantly faster HMR.
Libraries commonly affected: `lucide-react`, `@mui/material`, `@mui/icons-material`, `@tabler/icons-react`, `react-icons`, `@headlessui/react`, `@radix-ui/react-*`, `lodash`, `ramda`, `date-fns`, `rxjs`, `react-use`.
Reference: [How we optimized package imports in Next.js](https://vercel.com/blog/how-we-optimized-package-imports-in-next-js)
@@ -1,31 +0,0 @@
---
title: Conditional Module Loading
impact: HIGH
impactDescription: loads large data only when needed
tags: bundle, conditional-loading, lazy-loading
---
## Conditional Module Loading
Load large data or modules only when a feature is activated.
**Example (lazy-load animation frames):**
```tsx
function AnimationPlayer({ enabled, setEnabled }: { enabled: boolean; setEnabled: React.Dispatch<React.SetStateAction<boolean>> }) {
const [frames, setFrames] = useState<Frame[] | null>(null)
useEffect(() => {
if (enabled && !frames && typeof window !== 'undefined') {
import('./animation-frames.js')
.then(mod => setFrames(mod.frames))
.catch(() => setEnabled(false))
}
}, [enabled, frames, setEnabled])
if (!frames) return <Skeleton />
return <Canvas frames={frames} />
}
```
The `typeof window !== 'undefined'` check prevents bundling this module for SSR, optimizing server bundle size and build speed.
@@ -1,49 +0,0 @@
---
title: Defer Non-Critical Third-Party Libraries
impact: MEDIUM
impactDescription: loads after hydration
tags: bundle, third-party, analytics, defer
---
## Defer Non-Critical Third-Party Libraries
Analytics, logging, and error tracking don't block user interaction. Load them after hydration.
**Incorrect (blocks initial bundle):**
```tsx
import { Analytics } from '@vercel/analytics/react'
export default function RootLayout({ children }) {
return (
<html>
<body>
{children}
<Analytics />
</body>
</html>
)
}
```
**Correct (loads after hydration):**
```tsx
import dynamic from 'next/dynamic'
const Analytics = dynamic(
() => import('@vercel/analytics/react').then(m => m.Analytics),
{ ssr: false }
)
export default function RootLayout({ children }) {
return (
<html>
<body>
{children}
<Analytics />
</body>
</html>
)
}
```
@@ -1,35 +0,0 @@
---
title: Dynamic Imports for Heavy Components
impact: CRITICAL
impactDescription: directly affects TTI and LCP
tags: bundle, dynamic-import, code-splitting, next-dynamic
---
## Dynamic Imports for Heavy Components
Use `next/dynamic` to lazy-load large components not needed on initial render.
**Incorrect (Monaco bundles with main chunk ~300KB):**
```tsx
import { MonacoEditor } from './monaco-editor'
function CodePanel({ code }: { code: string }) {
return <MonacoEditor value={code} />
}
```
**Correct (Monaco loads on demand):**
```tsx
import dynamic from 'next/dynamic'
const MonacoEditor = dynamic(
() => import('./monaco-editor').then(m => m.MonacoEditor),
{ ssr: false }
)
function CodePanel({ code }: { code: string }) {
return <MonacoEditor value={code} />
}
```
@@ -1,50 +0,0 @@
---
title: Preload Based on User Intent
impact: MEDIUM
impactDescription: reduces perceived latency
tags: bundle, preload, user-intent, hover
---
## Preload Based on User Intent
Preload heavy bundles before they're needed to reduce perceived latency.
**Example (preload on hover/focus):**
```tsx
function EditorButton({ onClick }: { onClick: () => void }) {
const preload = () => {
if (typeof window !== 'undefined') {
void import('./monaco-editor')
}
}
return (
<button
onMouseEnter={preload}
onFocus={preload}
onClick={onClick}
>
Open Editor
</button>
)
}
```
**Example (preload when feature flag is enabled):**
```tsx
function FlagsProvider({ children, flags }: Props) {
useEffect(() => {
if (flags.editorEnabled && typeof window !== 'undefined') {
void import('./monaco-editor').then(mod => mod.init())
}
}, [flags.editorEnabled])
return <FlagsContext.Provider value={flags}>
{children}
</FlagsContext.Provider>
}
```
The `typeof window !== 'undefined'` check prevents bundling preloaded modules for SSR, optimizing server bundle size and build speed.
@@ -1,74 +0,0 @@
---
title: Deduplicate Global Event Listeners
impact: LOW
impactDescription: single listener for N components
tags: client, swr, event-listeners, subscription
---
## Deduplicate Global Event Listeners
Use `useSWRSubscription()` to share global event listeners across component instances.
**Incorrect (N instances = N listeners):**
```tsx
function useKeyboardShortcut(key: string, callback: () => void) {
useEffect(() => {
const handler = (e: KeyboardEvent) => {
if (e.metaKey && e.key === key) {
callback()
}
}
window.addEventListener('keydown', handler)
return () => window.removeEventListener('keydown', handler)
}, [key, callback])
}
```
When using the `useKeyboardShortcut` hook multiple times, each instance will register a new listener.
**Correct (N instances = 1 listener):**
```tsx
import useSWRSubscription from 'swr/subscription'
// Module-level Map to track callbacks per key
const keyCallbacks = new Map<string, Set<() => void>>()
function useKeyboardShortcut(key: string, callback: () => void) {
// Register this callback in the Map
useEffect(() => {
if (!keyCallbacks.has(key)) {
keyCallbacks.set(key, new Set())
}
keyCallbacks.get(key)!.add(callback)
return () => {
const set = keyCallbacks.get(key)
if (set) {
set.delete(callback)
if (set.size === 0) {
keyCallbacks.delete(key)
}
}
}
}, [key, callback])
useSWRSubscription('global-keydown', () => {
const handler = (e: KeyboardEvent) => {
if (e.metaKey && keyCallbacks.has(e.key)) {
keyCallbacks.get(e.key)!.forEach(cb => cb())
}
}
window.addEventListener('keydown', handler)
return () => window.removeEventListener('keydown', handler)
})
}
function Profile() {
// Multiple shortcuts will share the same listener
useKeyboardShortcut('p', () => { /* ... */ })
useKeyboardShortcut('k', () => { /* ... */ })
// ...
}
```
@@ -1,71 +0,0 @@
---
title: Version and Minimize localStorage Data
impact: MEDIUM
impactDescription: prevents schema conflicts, reduces storage size
tags: client, localStorage, storage, versioning, data-minimization
---
## Version and Minimize localStorage Data
Add version prefix to keys and store only needed fields. Prevents schema conflicts and accidental storage of sensitive data.
**Incorrect:**
```typescript
// No version, stores everything, no error handling
localStorage.setItem('userConfig', JSON.stringify(fullUserObject))
const data = localStorage.getItem('userConfig')
```
**Correct:**
```typescript
const VERSION = 'v2'
function saveConfig(config: { theme: string; language: string }) {
try {
localStorage.setItem(`userConfig:${VERSION}`, JSON.stringify(config))
} catch {
// Throws in incognito/private browsing, quota exceeded, or disabled
}
}
function loadConfig() {
try {
const data = localStorage.getItem(`userConfig:${VERSION}`)
return data ? JSON.parse(data) : null
} catch {
return null
}
}
// Migration from v1 to v2
function migrate() {
try {
const v1 = localStorage.getItem('userConfig:v1')
if (v1) {
const old = JSON.parse(v1)
saveConfig({ theme: old.darkMode ? 'dark' : 'light', language: old.lang })
localStorage.removeItem('userConfig:v1')
}
} catch {}
}
```
**Store minimal fields from server responses:**
```typescript
// User object has 20+ fields, only store what UI needs
function cachePrefs(user: FullUser) {
try {
localStorage.setItem('prefs:v1', JSON.stringify({
theme: user.preferences.theme,
notifications: user.preferences.notifications
}))
} catch {}
}
```
**Always wrap in try-catch:** `getItem()` and `setItem()` throw in incognito/private browsing (Safari, Firefox), when quota exceeded, or when disabled.
**Benefits:** Schema evolution via versioning, reduced storage size, prevents storing tokens/PII/internal flags.
@@ -1,48 +0,0 @@
---
title: Use Passive Event Listeners for Scrolling Performance
impact: MEDIUM
impactDescription: eliminates scroll delay caused by event listeners
tags: client, event-listeners, scrolling, performance, touch, wheel
---
## Use Passive Event Listeners for Scrolling Performance
Add `{ passive: true }` to touch and wheel event listeners to enable immediate scrolling. Browsers normally wait for listeners to finish to check if `preventDefault()` is called, causing scroll delay.
**Incorrect:**
```typescript
useEffect(() => {
const handleTouch = (e: TouchEvent) => console.log(e.touches[0].clientX)
const handleWheel = (e: WheelEvent) => console.log(e.deltaY)
document.addEventListener('touchstart', handleTouch)
document.addEventListener('wheel', handleWheel)
return () => {
document.removeEventListener('touchstart', handleTouch)
document.removeEventListener('wheel', handleWheel)
}
}, [])
```
**Correct:**
```typescript
useEffect(() => {
const handleTouch = (e: TouchEvent) => console.log(e.touches[0].clientX)
const handleWheel = (e: WheelEvent) => console.log(e.deltaY)
document.addEventListener('touchstart', handleTouch, { passive: true })
document.addEventListener('wheel', handleWheel, { passive: true })
return () => {
document.removeEventListener('touchstart', handleTouch)
document.removeEventListener('wheel', handleWheel)
}
}, [])
```
**Use passive when:** tracking/analytics, logging, any listener that doesn't call `preventDefault()`.
**Don't use passive when:** implementing custom swipe gestures, custom zoom controls, or any listener that needs `preventDefault()`.
@@ -1,56 +0,0 @@
---
title: Use SWR for Automatic Deduplication
impact: MEDIUM-HIGH
impactDescription: automatic deduplication
tags: client, swr, deduplication, data-fetching
---
## Use SWR for Automatic Deduplication
SWR enables request deduplication, caching, and revalidation across component instances.
**Incorrect (no deduplication, each instance fetches):**
```tsx
function UserList() {
const [users, setUsers] = useState([])
useEffect(() => {
fetch('/api/users')
.then(r => r.json())
.then(setUsers)
}, [])
}
```
**Correct (multiple instances share one request):**
```tsx
import useSWR from 'swr'
function UserList() {
const { data: users } = useSWR('/api/users', fetcher)
}
```
**For immutable data:**
```tsx
import { useImmutableSWR } from '@/lib/swr'
function StaticContent() {
const { data } = useImmutableSWR('/api/config', fetcher)
}
```
**For mutations:**
```tsx
import { useSWRMutation } from 'swr/mutation'
function UpdateButton() {
const { trigger } = useSWRMutation('/api/user', updateUser)
return <button onClick={() => trigger()}>Update</button>
}
```
Reference: [https://swr.vercel.app](https://swr.vercel.app)
@@ -1,57 +0,0 @@
---
title: Batch DOM CSS Changes
impact: MEDIUM
impactDescription: reduces reflows/repaints
tags: javascript, dom, css, performance, reflow
---
## Batch DOM CSS Changes
Avoid interleaving style writes with layout reads. When you read a layout property (like `offsetWidth`, `getBoundingClientRect()`, or `getComputedStyle()`) between style changes, the browser is forced to trigger a synchronous reflow.
**Incorrect (interleaved reads and writes force reflows):**
```typescript
function updateElementStyles(element: HTMLElement) {
element.style.width = '100px'
const width = element.offsetWidth // Forces reflow
element.style.height = '200px'
const height = element.offsetHeight // Forces another reflow
}
```
**Correct (batch writes, then read once):**
```typescript
function updateElementStyles(element: HTMLElement) {
// Batch all writes together
element.style.width = '100px'
element.style.height = '200px'
element.style.backgroundColor = 'blue'
element.style.border = '1px solid black'
// Read after all writes are done (single reflow)
const { width, height } = element.getBoundingClientRect()
}
```
**Better: use CSS classes**
```css
.highlighted-box {
width: 100px;
height: 200px;
background-color: blue;
border: 1px solid black;
}
```
```typescript
function updateElementStyles(element: HTMLElement) {
element.classList.add('highlighted-box')
const { width, height } = element.getBoundingClientRect()
}
```
Prefer CSS classes over inline styles when possible. CSS files are cached by the browser, and classes provide better separation of concerns and are easier to maintain.
@@ -1,80 +0,0 @@
---
title: Cache Repeated Function Calls
impact: MEDIUM
impactDescription: avoid redundant computation
tags: javascript, cache, memoization, performance
---
## Cache Repeated Function Calls
Use a module-level Map to cache function results when the same function is called repeatedly with the same inputs during render.
**Incorrect (redundant computation):**
```typescript
function ProjectList({ projects }: { projects: Project[] }) {
return (
<div>
{projects.map(project => {
// slugify() called 100+ times for same project names
const slug = slugify(project.name)
return <ProjectCard key={project.id} slug={slug} />
})}
</div>
)
}
```
**Correct (cached results):**
```typescript
// Module-level cache
const slugifyCache = new Map<string, string>()
function cachedSlugify(text: string): string {
if (slugifyCache.has(text)) {
return slugifyCache.get(text)!
}
const result = slugify(text)
slugifyCache.set(text, result)
return result
}
function ProjectList({ projects }: { projects: Project[] }) {
return (
<div>
{projects.map(project => {
// Computed only once per unique project name
const slug = cachedSlugify(project.name)
return <ProjectCard key={project.id} slug={slug} />
})}
</div>
)
}
```
**Simpler pattern for single-value functions:**
```typescript
let isLoggedInCache: boolean | null = null
function isLoggedIn(): boolean {
if (isLoggedInCache !== null) {
return isLoggedInCache
}
isLoggedInCache = document.cookie.includes('auth=')
return isLoggedInCache
}
// Clear cache when auth changes
function onAuthChange() {
isLoggedInCache = null
}
```
Use a Map (not a hook) so it works everywhere: utilities, event handlers, not just React components.
Reference: [How we made the Vercel Dashboard twice as fast](https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast)
@@ -1,28 +0,0 @@
---
title: Cache Property Access in Loops
impact: LOW-MEDIUM
impactDescription: reduces lookups
tags: javascript, loops, optimization, caching
---
## Cache Property Access in Loops
Cache object property lookups in hot paths.
**Incorrect (3 lookups × N iterations):**
```typescript
for (let i = 0; i < arr.length; i++) {
process(obj.config.settings.value)
}
```
**Correct (1 lookup total):**
```typescript
const value = obj.config.settings.value
const len = arr.length
for (let i = 0; i < len; i++) {
process(value)
}
```
@@ -1,70 +0,0 @@
---
title: Cache Storage API Calls
impact: LOW-MEDIUM
impactDescription: reduces expensive I/O
tags: javascript, localStorage, storage, caching, performance
---
## Cache Storage API Calls
`localStorage`, `sessionStorage`, and `document.cookie` are synchronous and expensive. Cache reads in memory.
**Incorrect (reads storage on every call):**
```typescript
function getTheme() {
return localStorage.getItem('theme') ?? 'light'
}
// Called 10 times = 10 storage reads
```
**Correct (Map cache):**
```typescript
const storageCache = new Map<string, string | null>()
function getLocalStorage(key: string) {
if (!storageCache.has(key)) {
storageCache.set(key, localStorage.getItem(key))
}
return storageCache.get(key)
}
function setLocalStorage(key: string, value: string) {
localStorage.setItem(key, value)
storageCache.set(key, value) // keep cache in sync
}
```
Use a Map (not a hook) so it works everywhere: utilities, event handlers, not just React components.
**Cookie caching:**
```typescript
let cookieCache: Record<string, string> | null = null
function getCookie(name: string) {
if (!cookieCache) {
cookieCache = Object.fromEntries(
document.cookie.split('; ').map(c => c.split('='))
)
}
return cookieCache[name]
}
```
**Important (invalidate on external changes):**
If storage can change externally (another tab, server-set cookies), invalidate cache:
```typescript
window.addEventListener('storage', (e) => {
if (e.key) storageCache.delete(e.key)
})
document.addEventListener('visibilitychange', () => {
if (document.visibilityState === 'visible') {
storageCache.clear()
}
})
```
@@ -1,32 +0,0 @@
---
title: Combine Multiple Array Iterations
impact: LOW-MEDIUM
impactDescription: reduces iterations
tags: javascript, arrays, loops, performance
---
## Combine Multiple Array Iterations
Multiple `.filter()` or `.map()` calls iterate the array multiple times. Combine into one loop.
**Incorrect (3 iterations):**
```typescript
const admins = users.filter(u => u.isAdmin)
const testers = users.filter(u => u.isTester)
const inactive = users.filter(u => !u.isActive)
```
**Correct (1 iteration):**
```typescript
const admins: User[] = []
const testers: User[] = []
const inactive: User[] = []
for (const user of users) {
if (user.isAdmin) admins.push(user)
if (user.isTester) testers.push(user)
if (!user.isActive) inactive.push(user)
}
```
@@ -1,50 +0,0 @@
---
title: Early Return from Functions
impact: LOW-MEDIUM
impactDescription: avoids unnecessary computation
tags: javascript, functions, optimization, early-return
---
## Early Return from Functions
Return early when result is determined to skip unnecessary processing.
**Incorrect (processes all items even after finding answer):**
```typescript
function validateUsers(users: User[]) {
let hasError = false
let errorMessage = ''
for (const user of users) {
if (!user.email) {
hasError = true
errorMessage = 'Email required'
}
if (!user.name) {
hasError = true
errorMessage = 'Name required'
}
// Continues checking all users even after error found
}
return hasError ? { valid: false, error: errorMessage } : { valid: true }
}
```
**Correct (returns immediately on first error):**
```typescript
function validateUsers(users: User[]) {
for (const user of users) {
if (!user.email) {
return { valid: false, error: 'Email required' }
}
if (!user.name) {
return { valid: false, error: 'Name required' }
}
}
return { valid: true }
}
```
@@ -1,45 +0,0 @@
---
title: Hoist RegExp Creation
impact: LOW-MEDIUM
impactDescription: avoids recreation
tags: javascript, regexp, optimization, memoization
---
## Hoist RegExp Creation
Don't create RegExp inside render. Hoist to module scope or memoize with `useMemo()`.
**Incorrect (new RegExp every render):**
```tsx
function Highlighter({ text, query }: Props) {
const regex = new RegExp(`(${query})`, 'gi')
const parts = text.split(regex)
return <>{parts.map((part, i) => ...)}</>
}
```
**Correct (memoize or hoist):**
```tsx
const EMAIL_REGEX = /^[^\s@]+@[^\s@]+\.[^\s@]+$/
function Highlighter({ text, query }: Props) {
const regex = useMemo(
() => new RegExp(`(${escapeRegex(query)})`, 'gi'),
[query]
)
const parts = text.split(regex)
return <>{parts.map((part, i) => ...)}</>
}
```
**Warning (global regex has mutable state):**
Global regex (`/g`) has mutable `lastIndex` state:
```typescript
const regex = /foo/g
regex.test('foo') // true, lastIndex = 3
regex.test('foo') // false, lastIndex = 0
```
@@ -1,37 +0,0 @@
---
title: Build Index Maps for Repeated Lookups
impact: LOW-MEDIUM
impactDescription: 1M ops to 2K ops
tags: javascript, map, indexing, optimization, performance
---
## Build Index Maps for Repeated Lookups
Multiple `.find()` calls by the same key should use a Map.
**Incorrect (O(n) per lookup):**
```typescript
function processOrders(orders: Order[], users: User[]) {
return orders.map(order => ({
...order,
user: users.find(u => u.id === order.userId)
}))
}
```
**Correct (O(1) per lookup):**
```typescript
function processOrders(orders: Order[], users: User[]) {
const userById = new Map(users.map(u => [u.id, u]))
return orders.map(order => ({
...order,
user: userById.get(order.userId)
}))
}
```
Build map once (O(n)), then all lookups are O(1).
For 1000 orders × 1000 users: 1M ops → 2K ops.
@@ -1,49 +0,0 @@
---
title: Early Length Check for Array Comparisons
impact: MEDIUM-HIGH
impactDescription: avoids expensive operations when lengths differ
tags: javascript, arrays, performance, optimization, comparison
---
## Early Length Check for Array Comparisons
When comparing arrays with expensive operations (sorting, deep equality, serialization), check lengths first. If lengths differ, the arrays cannot be equal.
In real-world applications, this optimization is especially valuable when the comparison runs in hot paths (event handlers, render loops).
**Incorrect (always runs expensive comparison):**
```typescript
function hasChanges(current: string[], original: string[]) {
// Always sorts and joins, even when lengths differ
return current.sort().join() !== original.sort().join()
}
```
Two O(n log n) sorts run even when `current.length` is 5 and `original.length` is 100. There is also overhead of joining the arrays and comparing the strings.
**Correct (O(1) length check first):**
```typescript
function hasChanges(current: string[], original: string[]) {
// Early return if lengths differ
if (current.length !== original.length) {
return true
}
// Only sort when lengths match
const currentSorted = current.toSorted()
const originalSorted = original.toSorted()
for (let i = 0; i < currentSorted.length; i++) {
if (currentSorted[i] !== originalSorted[i]) {
return true
}
}
return false
}
```
This new approach is more efficient because:
- It avoids the overhead of sorting and joining the arrays when lengths differ
- It avoids consuming memory for the joined strings (especially important for large arrays)
- It avoids mutating the original arrays
- It returns early when a difference is found
@@ -1,82 +0,0 @@
---
title: Use Loop for Min/Max Instead of Sort
impact: LOW
impactDescription: O(n) instead of O(n log n)
tags: javascript, arrays, performance, sorting, algorithms
---
## Use Loop for Min/Max Instead of Sort
Finding the smallest or largest element only requires a single pass through the array. Sorting is wasteful and slower.
**Incorrect (O(n log n) - sort to find latest):**
```typescript
interface Project {
id: string
name: string
updatedAt: number
}
function getLatestProject(projects: Project[]) {
const sorted = [...projects].sort((a, b) => b.updatedAt - a.updatedAt)
return sorted[0]
}
```
Sorts the entire array just to find the maximum value.
**Incorrect (O(n log n) - sort for oldest and newest):**
```typescript
function getOldestAndNewest(projects: Project[]) {
const sorted = [...projects].sort((a, b) => a.updatedAt - b.updatedAt)
return { oldest: sorted[0], newest: sorted[sorted.length - 1] }
}
```
Still sorts unnecessarily when only min/max are needed.
**Correct (O(n) - single loop):**
```typescript
function getLatestProject(projects: Project[]) {
if (projects.length === 0) return null
let latest = projects[0]
for (let i = 1; i < projects.length; i++) {
if (projects[i].updatedAt > latest.updatedAt) {
latest = projects[i]
}
}
return latest
}
function getOldestAndNewest(projects: Project[]) {
if (projects.length === 0) return { oldest: null, newest: null }
let oldest = projects[0]
let newest = projects[0]
for (let i = 1; i < projects.length; i++) {
if (projects[i].updatedAt < oldest.updatedAt) oldest = projects[i]
if (projects[i].updatedAt > newest.updatedAt) newest = projects[i]
}
return { oldest, newest }
}
```
Single pass through the array, no copying, no sorting.
**Alternative (Math.min/Math.max for small arrays):**
```typescript
const numbers = [5, 2, 8, 1, 9]
const min = Math.min(...numbers)
const max = Math.max(...numbers)
```
This works for small arrays, but can be slower or just throw an error for very large arrays due to spread operator limitations. Maximal array length is approximately 124000 in Chrome 143 and 638000 in Safari 18; exact numbers may vary - see [the fiddle](https://jsfiddle.net/qw1jabsx/4/). Use the loop approach for reliability.
@@ -1,24 +0,0 @@
---
title: Use Set/Map for O(1) Lookups
impact: LOW-MEDIUM
impactDescription: O(n) to O(1)
tags: javascript, set, map, data-structures, performance
---
## Use Set/Map for O(1) Lookups
Convert arrays to Set/Map for repeated membership checks.
**Incorrect (O(n) per check):**
```typescript
const allowedIds = ['a', 'b', 'c', ...]
items.filter(item => allowedIds.includes(item.id))
```
**Correct (O(1) per check):**
```typescript
const allowedIds = new Set(['a', 'b', 'c', ...])
items.filter(item => allowedIds.has(item.id))
```
@@ -1,57 +0,0 @@
---
title: Use toSorted() Instead of sort() for Immutability
impact: MEDIUM-HIGH
impactDescription: prevents mutation bugs in React state
tags: javascript, arrays, immutability, react, state, mutation
---
## Use toSorted() Instead of sort() for Immutability
`.sort()` mutates the array in place, which can cause bugs with React state and props. Use `.toSorted()` to create a new sorted array without mutation.
**Incorrect (mutates original array):**
```typescript
function UserList({ users }: { users: User[] }) {
// Mutates the users prop array!
const sorted = useMemo(
() => users.sort((a, b) => a.name.localeCompare(b.name)),
[users]
)
return <div>{sorted.map(renderUser)}</div>
}
```
**Correct (creates new array):**
```typescript
function UserList({ users }: { users: User[] }) {
// Creates new sorted array, original unchanged
const sorted = useMemo(
() => users.toSorted((a, b) => a.name.localeCompare(b.name)),
[users]
)
return <div>{sorted.map(renderUser)}</div>
}
```
**Why this matters in React:**
1. Props/state mutations break React's immutability model - React expects props and state to be treated as read-only
2. Causes stale closure bugs - Mutating arrays inside closures (callbacks, effects) can lead to unexpected behavior
**Browser support (fallback for older browsers):**
`.toSorted()` is available in all modern browsers (Chrome 110+, Safari 16+, Firefox 115+, Node.js 20+). For older environments, use spread operator:
```typescript
// Fallback for older browsers
const sorted = [...items].sort((a, b) => a.value - b.value)
```
**Other immutable array methods:**
- `.toSorted()` - immutable sort
- `.toReversed()` - immutable reverse
- `.toSpliced()` - immutable splice
- `.with()` - immutable element replacement
@@ -1,26 +0,0 @@
---
title: Use Activity Component for Show/Hide
impact: MEDIUM
impactDescription: preserves state/DOM
tags: rendering, activity, visibility, state-preservation
---
## Use Activity Component for Show/Hide
Use React's `<Activity>` to preserve state/DOM for expensive components that frequently toggle visibility.
**Usage:**
```tsx
import { Activity } from 'react'
function Dropdown({ isOpen }: Props) {
return (
<Activity mode={isOpen ? 'visible' : 'hidden'}>
<ExpensiveMenu />
</Activity>
)
}
```
Avoids expensive re-renders and state loss.
@@ -1,47 +0,0 @@
---
title: Animate SVG Wrapper Instead of SVG Element
impact: LOW
impactDescription: enables hardware acceleration
tags: rendering, svg, css, animation, performance
---
## Animate SVG Wrapper Instead of SVG Element
Many browsers don't have hardware acceleration for CSS3 animations on SVG elements. Wrap SVG in a `<div>` and animate the wrapper instead.
**Incorrect (animating SVG directly - no hardware acceleration):**
```tsx
function LoadingSpinner() {
return (
<svg
className="animate-spin"
width="24"
height="24"
viewBox="0 0 24 24"
>
<circle cx="12" cy="12" r="10" stroke="currentColor" />
</svg>
)
}
```
**Correct (animating wrapper div - hardware accelerated):**
```tsx
function LoadingSpinner() {
return (
<div className="animate-spin">
<svg
width="24"
height="24"
viewBox="0 0 24 24"
>
<circle cx="12" cy="12" r="10" stroke="currentColor" />
</svg>
</div>
)
}
```
This applies to all CSS transforms and transitions (`transform`, `opacity`, `translate`, `scale`, `rotate`). The wrapper div allows browsers to use GPU acceleration for smoother animations.
@@ -1,40 +0,0 @@
---
title: Use Explicit Conditional Rendering
impact: LOW
impactDescription: prevents rendering 0 or NaN
tags: rendering, conditional, jsx, falsy-values
---
## Use Explicit Conditional Rendering
Use explicit ternary operators (`? :`) instead of `&&` for conditional rendering when the condition can be `0`, `NaN`, or other falsy values that render.
**Incorrect (renders "0" when count is 0):**
```tsx
function Badge({ count }: { count: number }) {
return (
<div>
{count && <span className="badge">{count}</span>}
</div>
)
}
// When count = 0, renders: <div>0</div>
// When count = 5, renders: <div><span class="badge">5</span></div>
```
**Correct (renders nothing when count is 0):**
```tsx
function Badge({ count }: { count: number }) {
return (
<div>
{count > 0 ? <span className="badge">{count}</span> : null}
</div>
)
}
// When count = 0, renders: <div></div>
// When count = 5, renders: <div><span class="badge">5</span></div>
```
@@ -1,38 +0,0 @@
---
title: CSS content-visibility for Long Lists
impact: HIGH
impactDescription: faster initial render
tags: rendering, css, content-visibility, long-lists
---
## CSS content-visibility for Long Lists
Apply `content-visibility: auto` to defer off-screen rendering.
**CSS:**
```css
.message-item {
content-visibility: auto;
contain-intrinsic-size: 0 80px;
}
```
**Example:**
```tsx
function MessageList({ messages }: { messages: Message[] }) {
return (
<div className="overflow-y-auto h-screen">
{messages.map(msg => (
<div key={msg.id} className="message-item">
<Avatar user={msg.author} />
<div>{msg.content}</div>
</div>
))}
</div>
)
}
```
For 1000 messages, browser skips layout/paint for ~990 off-screen items (10× faster initial render).
@@ -1,46 +0,0 @@
---
title: Hoist Static JSX Elements
impact: LOW
impactDescription: avoids re-creation
tags: rendering, jsx, static, optimization
---
## Hoist Static JSX Elements
Extract static JSX outside components to avoid re-creation.
**Incorrect (recreates element every render):**
```tsx
function LoadingSkeleton() {
return <div className="animate-pulse h-20 bg-gray-200" />
}
function Container() {
return (
<div>
{loading && <LoadingSkeleton />}
</div>
)
}
```
**Correct (reuses same element):**
```tsx
const loadingSkeleton = (
<div className="animate-pulse h-20 bg-gray-200" />
)
function Container() {
return (
<div>
{loading && loadingSkeleton}
</div>
)
}
```
This is especially helpful for large and static SVG nodes, which can be expensive to recreate on every render.
**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler automatically hoists static JSX elements and optimizes component re-renders, making manual hoisting unnecessary.
@@ -1,82 +0,0 @@
---
title: Prevent Hydration Mismatch Without Flickering
impact: MEDIUM
impactDescription: avoids visual flicker and hydration errors
tags: rendering, ssr, hydration, localStorage, flicker
---
## Prevent Hydration Mismatch Without Flickering
When rendering content that depends on client-side storage (localStorage, cookies), avoid both SSR breakage and post-hydration flickering by injecting a synchronous script that updates the DOM before React hydrates.
**Incorrect (breaks SSR):**
```tsx
function ThemeWrapper({ children }: { children: ReactNode }) {
// localStorage is not available on server - throws error
const theme = localStorage.getItem('theme') || 'light'
return (
<div className={theme}>
{children}
</div>
)
}
```
Server-side rendering will fail because `localStorage` is undefined.
**Incorrect (visual flickering):**
```tsx
function ThemeWrapper({ children }: { children: ReactNode }) {
const [theme, setTheme] = useState('light')
useEffect(() => {
// Runs after hydration - causes visible flash
const stored = localStorage.getItem('theme')
if (stored) {
setTheme(stored)
}
}, [])
return (
<div className={theme}>
{children}
</div>
)
}
```
Component first renders with default value (`light`), then updates after hydration, causing a visible flash of incorrect content.
**Correct (no flicker, no hydration mismatch):**
```tsx
function ThemeWrapper({ children }: { children: ReactNode }) {
return (
<>
<div id="theme-wrapper">
{children}
</div>
<script
dangerouslySetInnerHTML={{
__html: `
(function() {
try {
var theme = localStorage.getItem('theme') || 'light';
var el = document.getElementById('theme-wrapper');
if (el) el.className = theme;
} catch (e) {}
})();
`,
}}
/>
</>
)
}
```
The inline script executes synchronously before showing the element, ensuring the DOM already has the correct value. No flickering, no hydration mismatch.
This pattern is especially useful for theme toggles, user preferences, authentication states, and any client-only data that should render immediately without flashing default values.
@@ -1,28 +0,0 @@
---
title: Optimize SVG Precision
impact: LOW
impactDescription: reduces file size
tags: rendering, svg, optimization, svgo
---
## Optimize SVG Precision
Reduce SVG coordinate precision to decrease file size. The optimal precision depends on the viewBox size, but in general reducing precision should be considered.
**Incorrect (excessive precision):**
```svg
<path d="M 10.293847 20.847362 L 30.938472 40.192837" />
```
**Correct (1 decimal place):**
```svg
<path d="M 10.3 20.8 L 30.9 40.2" />
```
**Automate with SVGO:**
```bash
npx svgo --precision=1 --multipass icon.svg
```
@@ -1,39 +0,0 @@
---
title: Defer State Reads to Usage Point
impact: MEDIUM
impactDescription: avoids unnecessary subscriptions
tags: rerender, searchParams, localStorage, optimization
---
## Defer State Reads to Usage Point
Don't subscribe to dynamic state (searchParams, localStorage) if you only read it inside callbacks.
**Incorrect (subscribes to all searchParams changes):**
```tsx
function ShareButton({ chatId }: { chatId: string }) {
const searchParams = useSearchParams()
const handleShare = () => {
const ref = searchParams.get('ref')
shareChat(chatId, { ref })
}
return <button onClick={handleShare}>Share</button>
}
```
**Correct (reads on demand, no subscription):**
```tsx
function ShareButton({ chatId }: { chatId: string }) {
const handleShare = () => {
const params = new URLSearchParams(window.location.search)
const ref = params.get('ref')
shareChat(chatId, { ref })
}
return <button onClick={handleShare}>Share</button>
}
```
@@ -1,45 +0,0 @@
---
title: Narrow Effect Dependencies
impact: LOW
impactDescription: minimizes effect re-runs
tags: rerender, useEffect, dependencies, optimization
---
## Narrow Effect Dependencies
Specify primitive dependencies instead of objects to minimize effect re-runs.
**Incorrect (re-runs on any user field change):**
```tsx
useEffect(() => {
console.log(user.id)
}, [user])
```
**Correct (re-runs only when id changes):**
```tsx
useEffect(() => {
console.log(user.id)
}, [user.id])
```
**For derived state, compute outside effect:**
```tsx
// Incorrect: runs on width=767, 766, 765...
useEffect(() => {
if (width < 768) {
enableMobileMode()
}
}, [width])
// Correct: runs only on boolean transition
const isMobile = width < 768
useEffect(() => {
if (isMobile) {
enableMobileMode()
}
}, [isMobile])
```
@@ -1,29 +0,0 @@
---
title: Subscribe to Derived State
impact: MEDIUM
impactDescription: reduces re-render frequency
tags: rerender, derived-state, media-query, optimization
---
## Subscribe to Derived State
Subscribe to derived boolean state instead of continuous values to reduce re-render frequency.
**Incorrect (re-renders on every pixel change):**
```tsx
function Sidebar() {
const width = useWindowWidth() // updates continuously
const isMobile = width < 768
return <nav className={isMobile ? 'mobile' : 'desktop'} />
}
```
**Correct (re-renders only when boolean changes):**
```tsx
function Sidebar() {
const isMobile = useMediaQuery('(max-width: 767px)')
return <nav className={isMobile ? 'mobile' : 'desktop'} />
}
```
@@ -1,74 +0,0 @@
---
title: Use Functional setState Updates
impact: MEDIUM
impactDescription: prevents stale closures and unnecessary callback recreations
tags: react, hooks, useState, useCallback, callbacks, closures
---
## Use Functional setState Updates
When updating state based on the current state value, use the functional update form of setState instead of directly referencing the state variable. This prevents stale closures, eliminates unnecessary dependencies, and creates stable callback references.
**Incorrect (requires state as dependency):**
```tsx
function TodoList() {
const [items, setItems] = useState(initialItems)
// Callback must depend on items, recreated on every items change
const addItems = useCallback((newItems: Item[]) => {
setItems([...items, ...newItems])
}, [items]) // ❌ items dependency causes recreations
// Risk of stale closure if dependency is forgotten
const removeItem = useCallback((id: string) => {
setItems(items.filter(item => item.id !== id))
}, []) // ❌ Missing items dependency - will use stale items!
return <ItemsEditor items={items} onAdd={addItems} onRemove={removeItem} />
}
```
The first callback is recreated every time `items` changes, which can cause child components to re-render unnecessarily. The second callback has a stale closure bug—it will always reference the initial `items` value.
**Correct (stable callbacks, no stale closures):**
```tsx
function TodoList() {
const [items, setItems] = useState(initialItems)
// Stable callback, never recreated
const addItems = useCallback((newItems: Item[]) => {
setItems(curr => [...curr, ...newItems])
}, []) // ✅ No dependencies needed
// Always uses latest state, no stale closure risk
const removeItem = useCallback((id: string) => {
setItems(curr => curr.filter(item => item.id !== id))
}, []) // ✅ Safe and stable
return <ItemsEditor items={items} onAdd={addItems} onRemove={removeItem} />
}
```
**Benefits:**
1. **Stable callback references** - Callbacks don't need to be recreated when state changes
2. **No stale closures** - Always operates on the latest state value
3. **Fewer dependencies** - Simplifies dependency arrays and reduces memory leaks
4. **Prevents bugs** - Eliminates the most common source of React closure bugs
**When to use functional updates:**
- Any setState that depends on the current state value
- Inside useCallback/useMemo when state is needed
- Event handlers that reference state
- Async operations that update state
**When direct updates are fine:**
- Setting state to a static value: `setCount(0)`
- Setting state from props/arguments only: `setName(newName)`
- State doesn't depend on previous value
**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler can automatically optimize some cases, but functional updates are still recommended for correctness and to prevent stale closure bugs.
@@ -1,58 +0,0 @@
---
title: Use Lazy State Initialization
impact: MEDIUM
impactDescription: wasted computation on every render
tags: react, hooks, useState, performance, initialization
---
## Use Lazy State Initialization
Pass a function to `useState` for expensive initial values. Without the function form, the initializer runs on every render even though the value is only used once.
**Incorrect (runs on every render):**
```tsx
function FilteredList({ items }: { items: Item[] }) {
// buildSearchIndex() runs on EVERY render, even after initialization
const [searchIndex, setSearchIndex] = useState(buildSearchIndex(items))
const [query, setQuery] = useState('')
// When query changes, buildSearchIndex runs again unnecessarily
return <SearchResults index={searchIndex} query={query} />
}
function UserProfile() {
// JSON.parse runs on every render
const [settings, setSettings] = useState(
JSON.parse(localStorage.getItem('settings') || '{}')
)
return <SettingsForm settings={settings} onChange={setSettings} />
}
```
**Correct (runs only once):**
```tsx
function FilteredList({ items }: { items: Item[] }) {
// buildSearchIndex() runs ONLY on initial render
const [searchIndex, setSearchIndex] = useState(() => buildSearchIndex(items))
const [query, setQuery] = useState('')
return <SearchResults index={searchIndex} query={query} />
}
function UserProfile() {
// JSON.parse runs only on initial render
const [settings, setSettings] = useState(() => {
const stored = localStorage.getItem('settings')
return stored ? JSON.parse(stored) : {}
})
return <SettingsForm settings={settings} onChange={setSettings} />
}
```
Use lazy initialization when computing initial values from localStorage/sessionStorage, building data structures (indexes, maps), reading from the DOM, or performing heavy transformations.
For simple primitives (`useState(0)`), direct references (`useState(props.value)`), or cheap literals (`useState({})`), the function form is unnecessary.
@@ -1,44 +0,0 @@
---
title: Extract to Memoized Components
impact: MEDIUM
impactDescription: enables early returns
tags: rerender, memo, useMemo, optimization
---
## Extract to Memoized Components
Extract expensive work into memoized components to enable early returns before computation.
**Incorrect (computes avatar even when loading):**
```tsx
function Profile({ user, loading }: Props) {
const avatar = useMemo(() => {
const id = computeAvatarId(user)
return <Avatar id={id} />
}, [user])
if (loading) return <Skeleton />
return <div>{avatar}</div>
}
```
**Correct (skips computation when loading):**
```tsx
const UserAvatar = memo(function UserAvatar({ user }: { user: User }) {
const id = useMemo(() => computeAvatarId(user), [user])
return <Avatar id={id} />
})
function Profile({ user, loading }: Props) {
if (loading) return <Skeleton />
return (
<div>
<UserAvatar user={user} />
</div>
)
}
```
**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, manual memoization with `memo()` and `useMemo()` is not necessary. The compiler automatically optimizes re-renders.
@@ -1,40 +0,0 @@
---
title: Use Transitions for Non-Urgent Updates
impact: MEDIUM
impactDescription: maintains UI responsiveness
tags: rerender, transitions, startTransition, performance
---
## Use Transitions for Non-Urgent Updates
Mark frequent, non-urgent state updates as transitions to maintain UI responsiveness.
**Incorrect (blocks UI on every scroll):**
```tsx
function ScrollTracker() {
const [scrollY, setScrollY] = useState(0)
useEffect(() => {
const handler = () => setScrollY(window.scrollY)
window.addEventListener('scroll', handler, { passive: true })
return () => window.removeEventListener('scroll', handler)
}, [])
}
```
**Correct (non-blocking updates):**
```tsx
import { startTransition } from 'react'
function ScrollTracker() {
const [scrollY, setScrollY] = useState(0)
useEffect(() => {
const handler = () => {
startTransition(() => setScrollY(window.scrollY))
}
window.addEventListener('scroll', handler, { passive: true })
return () => window.removeEventListener('scroll', handler)
}, [])
}
```
@@ -1,73 +0,0 @@
---
title: Use after() for Non-Blocking Operations
impact: MEDIUM
impactDescription: faster response times
tags: server, async, logging, analytics, side-effects
---
## Use after() for Non-Blocking Operations
Use Next.js's `after()` to schedule work that should execute after a response is sent. This prevents logging, analytics, and other side effects from blocking the response.
**Incorrect (blocks response):**
```tsx
import { logUserAction } from '@/app/utils'
export async function POST(request: Request) {
// Perform mutation
await updateDatabase(request)
// Logging blocks the response
const userAgent = request.headers.get('user-agent') || 'unknown'
await logUserAction({ userAgent })
return new Response(JSON.stringify({ status: 'success' }), {
status: 200,
headers: { 'Content-Type': 'application/json' }
})
}
```
**Correct (non-blocking):**
```tsx
import { after } from 'next/server'
import { headers, cookies } from 'next/headers'
import { logUserAction } from '@/app/utils'
export async function POST(request: Request) {
// Perform mutation
await updateDatabase(request)
// Log after response is sent
after(async () => {
const userAgent = (await headers()).get('user-agent') || 'unknown'
const sessionCookie = (await cookies()).get('session-id')?.value || 'anonymous'
logUserAction({ sessionCookie, userAgent })
})
return new Response(JSON.stringify({ status: 'success' }), {
status: 200,
headers: { 'Content-Type': 'application/json' }
})
}
```
The response is sent immediately while logging happens in the background.
**Common use cases:**
- Analytics tracking
- Audit logging
- Sending notifications
- Cache invalidation
- Cleanup tasks
**Important notes:**
- `after()` runs even if the response fails or redirects
- Works in Server Actions, Route Handlers, and Server Components
Reference: [https://nextjs.org/docs/app/api-reference/functions/after](https://nextjs.org/docs/app/api-reference/functions/after)
@@ -1,41 +0,0 @@
---
title: Cross-Request LRU Caching
impact: HIGH
impactDescription: caches across requests
tags: server, cache, lru, cross-request
---
## Cross-Request LRU Caching
`React.cache()` only works within one request. For data shared across sequential requests (user clicks button A then button B), use an LRU cache.
**Implementation:**
```typescript
import { LRUCache } from 'lru-cache'
const cache = new LRUCache<string, any>({
max: 1000,
ttl: 5 * 60 * 1000 // 5 minutes
})
export async function getUser(id: string) {
const cached = cache.get(id)
if (cached) return cached
const user = await db.user.findUnique({ where: { id } })
cache.set(id, user)
return user
}
// Request 1: DB query, result cached
// Request 2: cache hit, no DB query
```
Use when sequential user actions hit multiple endpoints needing the same data within seconds.
**With Vercel's [Fluid Compute](https://vercel.com/docs/fluid-compute):** LRU caching is especially effective because multiple concurrent requests can share the same function instance and cache. This means the cache persists across requests without needing external storage like Redis.
**In traditional serverless:** Each invocation runs in isolation, so consider Redis for cross-process caching.
Reference: [https://github.com/isaacs/node-lru-cache](https://github.com/isaacs/node-lru-cache)
@@ -1,76 +0,0 @@
---
title: Per-Request Deduplication with React.cache()
impact: MEDIUM
impactDescription: deduplicates within request
tags: server, cache, react-cache, deduplication
---
## Per-Request Deduplication with React.cache()
Use `React.cache()` for server-side request deduplication. Authentication and database queries benefit most.
**Usage:**
```typescript
import { cache } from 'react'
export const getCurrentUser = cache(async () => {
const session = await auth()
if (!session?.user?.id) return null
return await db.user.findUnique({
where: { id: session.user.id }
})
})
```
Within a single request, multiple calls to `getCurrentUser()` execute the query only once.
**Avoid inline objects as arguments:**
`React.cache()` uses shallow equality (`Object.is`) to determine cache hits. Inline objects create new references each call, preventing cache hits.
**Incorrect (always cache miss):**
```typescript
const getUser = cache(async (params: { uid: number }) => {
return await db.user.findUnique({ where: { id: params.uid } })
})
// Each call creates new object, never hits cache
getUser({ uid: 1 })
getUser({ uid: 1 }) // Cache miss, runs query again
```
**Correct (cache hit):**
```typescript
const getUser = cache(async (uid: number) => {
return await db.user.findUnique({ where: { id: uid } })
})
// Primitive args use value equality
getUser(1)
getUser(1) // Cache hit, returns cached result
```
If you must pass objects, pass the same reference:
```typescript
const params = { uid: 1 }
getUser(params) // Query runs
getUser(params) // Cache hit (same reference)
```
**Next.js-Specific Note:**
In Next.js, the `fetch` API is automatically extended with request memoization. Requests with the same URL and options are automatically deduplicated within a single request, so you don't need `React.cache()` for `fetch` calls. However, `React.cache()` is still essential for other async tasks:
- Database queries (Prisma, Drizzle, etc.)
- Heavy computations
- Authentication checks
- File system operations
- Any non-fetch async work
Use `React.cache()` to deduplicate these operations across your component tree.
Reference: [React.cache documentation](https://react.dev/reference/react/cache)
@@ -1,83 +0,0 @@
---
title: Parallel Data Fetching with Component Composition
impact: CRITICAL
impactDescription: eliminates server-side waterfalls
tags: server, rsc, parallel-fetching, composition
---
## Parallel Data Fetching with Component Composition
React Server Components execute sequentially within a tree. Restructure with composition to parallelize data fetching.
**Incorrect (Sidebar waits for Page's fetch to complete):**
```tsx
export default async function Page() {
const header = await fetchHeader()
return (
<div>
<div>{header}</div>
<Sidebar />
</div>
)
}
async function Sidebar() {
const items = await fetchSidebarItems()
return <nav>{items.map(renderItem)}</nav>
}
```
**Correct (both fetch simultaneously):**
```tsx
async function Header() {
const data = await fetchHeader()
return <div>{data}</div>
}
async function Sidebar() {
const items = await fetchSidebarItems()
return <nav>{items.map(renderItem)}</nav>
}
export default function Page() {
return (
<div>
<Header />
<Sidebar />
</div>
)
}
```
**Alternative with children prop:**
```tsx
async function Header() {
const data = await fetchHeader()
return <div>{data}</div>
}
async function Sidebar() {
const items = await fetchSidebarItems()
return <nav>{items.map(renderItem)}</nav>
}
function Layout({ children }: { children: ReactNode }) {
return (
<div>
<Header />
{children}
</div>
)
}
export default function Page() {
return (
<Layout>
<Sidebar />
</Layout>
)
}
```
@@ -1,38 +0,0 @@
---
title: Minimize Serialization at RSC Boundaries
impact: HIGH
impactDescription: reduces data transfer size
tags: server, rsc, serialization, props
---
## Minimize Serialization at RSC Boundaries
The React Server/Client boundary serializes all object properties into strings and embeds them in the HTML response and subsequent RSC requests. This serialized data directly impacts page weight and load time, so **size matters a lot**. Only pass fields that the client actually uses.
**Incorrect (serializes all 50 fields):**
```tsx
async function Page() {
const user = await fetchUser() // 50 fields
return <Profile user={user} />
}
'use client'
function Profile({ user }: { user: User }) {
return <div>{user.name}</div> // uses 1 field
}
```
**Correct (serializes only 1 field):**
```tsx
async function Page() {
const user = await fetchUser()
return <Profile name={user.name} />
}
'use client'
function Profile({ name }: { name: string }) {
return <div>{name}</div>
}
```
+3 -3
View File
@@ -16,14 +16,14 @@ jobs:
- name: Check Docker Compose inputs
id: docker-compose-changes
uses: tj-actions/changed-files@v47
uses: tj-actions/changed-files@v46
with:
files: |
docker/generate_docker_compose
docker/.env.example
docker/docker-compose-template.yaml
docker/docker-compose.yaml
- uses: actions/setup-python@v6
- uses: actions/setup-python@v5
with:
python-version: "3.11"
@@ -82,6 +82,6 @@ jobs:
# mdformat breaks YAML front matter in markdown files. Add --exclude for directories containing YAML front matter.
- name: mdformat
run: |
uvx --python 3.13 mdformat . --exclude ".claude/skills/**"
uvx --python 3.13 mdformat . --exclude ".claude/skills/**/SKILL.md"
- uses: autofix-ci/action@635ffb0c9798bd160680f18fd73371e355b85f27
+1 -1
View File
@@ -112,7 +112,7 @@ jobs:
context: "web"
steps:
- name: Download digests
uses: actions/download-artifact@v7
uses: actions/download-artifact@v4
with:
path: /tmp/digests
pattern: digests-${{ matrix.context }}-*
+1 -1
View File
@@ -19,7 +19,7 @@ jobs:
github.event.workflow_run.head_branch == 'deploy/agent-dev'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v1
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.AGENT_DEV_SSH_HOST }}
username: ${{ secrets.SSH_USER }}
+1 -1
View File
@@ -16,7 +16,7 @@ jobs:
github.event.workflow_run.head_branch == 'deploy/dev'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v1
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.SSH_HOST }}
username: ${{ secrets.SSH_USER }}
+1 -1
View File
@@ -20,7 +20,7 @@ jobs:
)
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v1
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.HITL_SSH_HOST }}
username: ${{ secrets.SSH_USER }}
+1 -1
View File
@@ -18,7 +18,7 @@ jobs:
pull-requests: write
steps:
- uses: actions/stale@v10
- uses: actions/stale@v5
with:
days-before-issue-stale: 15
days-before-issue-close: 3
+6 -13
View File
@@ -65,9 +65,6 @@ jobs:
defaults:
run:
working-directory: ./web
permissions:
checks: write
pull-requests: read
steps:
- name: Checkout code
@@ -106,16 +103,7 @@ jobs:
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: |
pnpm run lint:ci
# pnpm run lint:report
# continue-on-error: true
# - name: Annotate Code
# if: steps.changed-files.outputs.any_changed == 'true' && github.event_name == 'pull_request'
# uses: DerLev/eslint-annotations@51347b3a0abfb503fc8734d5ae31c4b151297fae
# with:
# eslint-report: web/eslint_report.json
# github-token: ${{ secrets.GITHUB_TOKEN }}
pnpm run lint
- name: Web type check
if: steps.changed-files.outputs.any_changed == 'true'
@@ -127,6 +115,11 @@ jobs:
working-directory: ./web
run: pnpm run knip
- name: Web build check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run build
superlinter:
name: SuperLinter
runs-on: ubuntu-latest
+1 -1
View File
@@ -21,7 +21,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
-45
View File
@@ -366,48 +366,3 @@ jobs:
path: web/coverage
retention-days: 30
if-no-files-found: error
web-build:
name: Web Build
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./web
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v47
with:
files: |
web/**
.github/workflows/web-tests.yml
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
run_install: false
- name: Setup NodeJS
uses: actions/setup-node@v6
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 24
cache: pnpm
cache-dependency-path: ./web/pnpm-lock.yaml
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: Web build check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run build
+5 -1
View File
@@ -12,8 +12,12 @@ The codebase is split into:
## Backend Workflow
- Read `api/AGENTS.md` for details
- Run backend CLI commands through `uv run --project api <command>`.
- Before submission, all backend modifications must pass local checks: `make lint`, `make type-check`, and `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
- Use Makefile targets for linting and formatting; `make lint` and `make type-check` cover the required checks.
- Integration tests are CI-only and are not expected to run in the local environment.
## Frontend Workflow
+3 -9
View File
@@ -61,8 +61,7 @@ check:
lint:
@echo "🔧 Running ruff format, check with fixes, import linter, and dotenv-linter..."
@uv run --project api --dev ruff format ./api
@uv run --project api --dev ruff check --fix ./api
@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
@uv run --directory api --dev lint-imports
@uv run --project api --dev dotenv-linter ./api/.env.example ./web/.env.example
@echo "✅ Linting complete"
@@ -74,12 +73,7 @@ type-check:
test:
@echo "🧪 Running backend unit tests..."
@if [ -n "$(TARGET_TESTS)" ]; then \
echo "Target: $(TARGET_TESTS)"; \
uv run --project api --dev pytest $(TARGET_TESTS); \
else \
uv run --project api --dev dev/pytest/pytest_unit_tests.sh; \
fi
@uv run --project api --dev dev/pytest/pytest_unit_tests.sh
@echo "✅ Tests complete"
# Build Docker images
@@ -131,7 +125,7 @@ help:
@echo " make check - Check code with ruff"
@echo " make lint - Format, fix, and lint code (ruff, imports, dotenv)"
@echo " make type-check - Run type checking with basedpyright"
@echo " make test - Run backend unit tests (or TARGET_TESTS=./api/tests/<target_tests>)"
@echo " make test - Run backend unit tests"
@echo ""
@echo "Docker Build Targets:"
@echo " make build-web - Build web Docker image"
View File
-3
View File
@@ -417,8 +417,6 @@ SMTP_USERNAME=123
SMTP_PASSWORD=abc
SMTP_USE_TLS=true
SMTP_OPPORTUNISTIC_TLS=false
# Optional: override the local hostname used for SMTP HELO/EHLO
SMTP_LOCAL_HOSTNAME=
# Sendgid configuration
SENDGRID_API_KEY=
# Sentry configuration
@@ -715,4 +713,3 @@ ANNOTATION_IMPORT_MAX_CONCURRENT=5
SANDBOX_EXPIRED_RECORDS_CLEAN_GRACEFUL_PERIOD=21
SANDBOX_EXPIRED_RECORDS_CLEAN_BATCH_SIZE=1000
SANDBOX_EXPIRED_RECORDS_RETENTION_DAYS=30
+37 -211
View File
@@ -1,236 +1,62 @@
# API Agent Guide
## Agent Notes (must-check)
Before you start work on any backend file under `api/`, you MUST check whether a related note exists under:
- `agent-notes/<same-relative-path-as-target-file>.md`
Rules:
- **Path mapping**: for a target file `<path>/<name>.py`, the note must be `agent-notes/<path>/<name>.py.md` (same folder structure, same filename, plus `.md`).
- **Before working**:
- If the note exists, read it first and follow any constraints/decisions recorded there.
- If the note conflicts with the current code, or references an "origin" file/path that has been deleted, renamed, or migrated, treat the **code as the single source of truth** and update the note to match reality.
- If the note does not exist, create it with a short architecture/intent summary and any relevant invariants/edge cases.
- **During working**:
- Keep the note in sync as you discover constraints, make decisions, or change approach.
- If you move/rename a file, migrate its note to the new mapped path (and fix any outdated references inside the note).
- Record non-obvious edge cases, trade-offs, and the test/verification plan as you go (not just at the end).
- Keep notes **coherent**: integrate new findings into the relevant sections and rewrite for clarity; avoid append-only “recent fix” / changelog-style additions unless the note is explicitly intended to be a changelog.
- **When finishing work**:
- Update the related note(s) to reflect what changed, why, and any new edge cases/tests.
- If a file is deleted, remove or clearly deprecate the corresponding note so it cannot be mistaken as current guidance.
- Keep notes concise and accurate; they are meant to prevent repeated rediscovery.
## Skill Index
# Agent Skill Index
Start with the section that best matches your need. Each entry lists the problems it solves plus key files/concepts so you know what to expect before opening it.
### Platform Foundations
______________________________________________________________________
#### [Infrastructure Overview](agent_skills/infra.md)
## Platform Foundations
- **[Infrastructure Overview](agent_skills/infra.md)**\
When to read this:
- **When to read this**
- You need to understand where a feature belongs in the architecture.
- Youre wiring storage, Redis, vector stores, or OTEL.
- Youre about to add CLI commands or async jobs.
- **What it covers**
- Configuration stack (`configs/app_config.py`, remote settings)
- Storage entry points (`extensions/ext_storage.py`, `core/file/file_manager.py`)
- Redis conventions (`extensions/ext_redis.py`)
- Plugin runtime topology
- Vector-store factory (`core/rag/datasource/vdb/*`)
- Observability hooks
- SSRF proxy usage
- Core CLI commands
- Youre about to add CLI commands or async jobs.\
What it covers: configuration stack (`configs/app_config.py`, remote settings), storage entry points (`extensions/ext_storage.py`, `core/file/file_manager.py`), Redis conventions (`extensions/ext_redis.py`), plugin runtime topology, vector-store factory (`core/rag/datasource/vdb/*`), observability hooks, SSRF proxy usage, and core CLI commands.
### Plugin & Extension Development
- **[Coding Style](agent_skills/coding_style.md)**\
When to read this:
#### [Plugin Systems](agent_skills/plugin.md)
- Youre writing or reviewing backend code and need the authoritative checklist.
- Youre unsure about Pydantic validators, SQLAlchemy session usage, or logging patterns.
- You want the exact lint/type/test commands used in PRs.\
Includes: Ruff & BasedPyright commands, no-annotation policy, session examples (`with Session(db.engine, ...)`), `@field_validator` usage, logging expectations, and the rule set for file size, helpers, and package management.
______________________________________________________________________
## Plugin & Extension Development
- **[Plugin Systems](agent_skills/plugin.md)**\
When to read this:
- **When to read this**
- Youre building or debugging a marketplace plugin.
- You need to know how manifests, providers, daemons, and migrations fit together.
- **What it covers**
- Plugin manifests (`core/plugin/entities/plugin.py`)
- Installation/upgrade flows (`services/plugin/plugin_service.py`, CLI commands)
- Runtime adapters (`core/plugin/impl/*` for tool/model/datasource/trigger/endpoint/agent)
- Daemon coordination (`core/plugin/entities/plugin_daemon.py`)
- How provider registries surface capabilities to the rest of the platform
- You need to know how manifests, providers, daemons, and migrations fit together.\
What it covers: plugin manifests (`core/plugin/entities/plugin.py`), installation/upgrade flows (`services/plugin/plugin_service.py`, CLI commands), runtime adapters (`core/plugin/impl/*` for tool/model/datasource/trigger/endpoint/agent), daemon coordination (`core/plugin/entities/plugin_daemon.py`), and how provider registries surface capabilities to the rest of the platform.
#### [Plugin OAuth](agent_skills/plugin_oauth.md)
- **[Plugin OAuth](agent_skills/plugin_oauth.md)**\
When to read this:
- **When to read this**
- You must integrate OAuth for a plugin or datasource.
- Youre handling credential encryption or refresh flows.
- **Topics**
- Credential storage
- Encryption helpers (`core/helper/provider_encryption.py`)
- OAuth client bootstrap (`services/plugin/oauth_service.py`, `services/plugin/plugin_parameter_service.py`)
- How console/API layers expose the flows
- Youre handling credential encryption or refresh flows.\
Topics: credential storage, encryption helpers (`core/helper/provider_encryption.py`), OAuth client bootstrap (`services/plugin/oauth_service.py`, `services/plugin/plugin_parameter_service.py`), and how console/API layers expose the flows.
### Workflow Entry & Execution
______________________________________________________________________
#### [Trigger Concepts](agent_skills/trigger.md)
## Workflow Entry & Execution
- **When to read this**
- **[Trigger Concepts](agent_skills/trigger.md)**\
When to read this:
- Youre debugging why a workflow didnt start.
- Youre adding a new trigger type or hook.
- You need to trace async execution, draft debugging, or webhook/schedule pipelines.
- **Details**
- Start-node taxonomy
- Webhook & schedule internals (`core/workflow/nodes/trigger_*`, `services/trigger/*`)
- Async orchestration (`services/async_workflow_service.py`, Celery queues)
- Debug event bus
- Storage/logging interactions
- You need to trace async execution, draft debugging, or webhook/schedule pipelines.\
Details: Start-node taxonomy, webhook & schedule internals (`core/workflow/nodes/trigger_*`, `services/trigger/*`), async orchestration (`services/async_workflow_service.py`, Celery queues), debug event bus, and storage/logging interactions.
## General Reminders
______________________________________________________________________
- All skill docs assume you follow the coding style rules below—run the lint/type/test commands before submitting changes.
## Additional Notes for Agents
- All skill docs assume you follow the coding style guide—run Ruff/BasedPyright/tests listed there before submitting changes.
- When you cannot find an answer in these briefs, search the codebase using the paths referenced (e.g., `core/plugin/impl/tool.py`, `services/dataset_service.py`).
- If you run into cross-cutting concerns (tenancy, configuration, storage), check the infrastructure guide first; it links to most supporting modules.
- Keep multi-tenancy and configuration central: everything flows through `configs.dify_config` and `tenant_id`.
- When touching plugins or triggers, consult both the system overview and the specialised doc to ensure you adjust lifecycle, storage, and observability consistently.
## Coding Style
This is the default standard for backend code in this repo. Follow it for new code and use it as the checklist when reviewing changes.
### Linting & Formatting
- Use Ruff for formatting and linting (follow `.ruff.toml`).
- Keep each line under 120 characters (including spaces).
### Naming Conventions
- Use `snake_case` for variables and functions.
- Use `PascalCase` for classes.
- Use `UPPER_CASE` for constants.
### Typing & Class Layout
- Code should usually include type annotations that match the repos current Python version (avoid untyped public APIs and “mystery” values).
- Prefer modern typing forms (e.g. `list[str]`, `dict[str, int]`) and avoid `Any` unless theres a strong reason.
- For classes, declare member variables at the top of the class body (before `__init__`) so the class shape is obvious at a glance:
```python
from datetime import datetime
class Example:
user_id: str
created_at: datetime
def __init__(self, user_id: str, created_at: datetime) -> None:
self.user_id = user_id
self.created_at = created_at
```
### General Rules
- Use Pydantic v2 conventions.
- Use `uv` for Python package management in this repo (usually with `--project api`).
- Prefer simple functions over small “utility classes” for lightweight helpers.
- Avoid implementing dunder methods unless its clearly needed and matches existing patterns.
- Never start long-running services as part of agent work (`uv run app.py`, `flask run`, etc.); running tests is allowed.
- Keep files below ~800 lines; split when necessary.
- Keep code readable and explicit—avoid clever hacks.
### Architecture & Boundaries
- Mirror the layered architecture: controller → service → core/domain.
- Reuse existing helpers in `core/`, `services/`, and `libs/` before creating new abstractions.
- Optimise for observability: deterministic control flow, clear logging, actionable errors.
### Logging & Errors
- Never use `print`; use a module-level logger:
- `logger = logging.getLogger(__name__)`
- Include tenant/app/workflow identifiers in log context when relevant.
- Raise domain-specific exceptions (`services/errors`, `core/errors`) and translate them into HTTP responses in controllers.
- Log retryable events at `warning`, terminal failures at `error`.
### SQLAlchemy Patterns
- Models inherit from `models.base.TypeBase`; do not create ad-hoc metadata or engines.
- Open sessions with context managers:
```python
from sqlalchemy.orm import Session
with Session(db.engine, expire_on_commit=False) as session:
stmt = select(Workflow).where(
Workflow.id == workflow_id,
Workflow.tenant_id == tenant_id,
)
workflow = session.execute(stmt).scalar_one_or_none()
```
- Prefer SQLAlchemy expressions; avoid raw SQL unless necessary.
- Always scope queries by `tenant_id` and protect write paths with safeguards (`FOR UPDATE`, row counts, etc.).
- Introduce repository abstractions only for very large tables (e.g., workflow executions) or when alternative storage strategies are required.
### Storage & External I/O
- Access storage via `extensions.ext_storage.storage`.
- Use `core.helper.ssrf_proxy` for outbound HTTP fetches.
- Background tasks that touch storage must be idempotent, and should log relevant object identifiers.
### Pydantic Usage
- Define DTOs with Pydantic v2 models and forbid extras by default.
- Use `@field_validator` / `@model_validator` for domain rules.
Example:
```python
from pydantic import BaseModel, ConfigDict, HttpUrl, field_validator
class TriggerConfig(BaseModel):
endpoint: HttpUrl
secret: str
model_config = ConfigDict(extra="forbid")
@field_validator("secret")
def ensure_secret_prefix(cls, value: str) -> str:
if not value.startswith("dify_"):
raise ValueError("secret must start with dify_")
return value
```
### Generics & Protocols
- Use `typing.Protocol` to define behavioural contracts (e.g., cache interfaces).
- Apply generics (`TypeVar`, `Generic`) for reusable utilities like caches or providers.
- Validate dynamic inputs at runtime when generics cannot enforce safety alone.
### Tooling & Checks
Quick checks while iterating:
- Format: `make format`
- Lint (includes auto-fix): `make lint`
- Type check: `make type-check`
- Targeted tests: `make test TARGET_TESTS=./api/tests/<target_tests>`
Before opening a PR / submitting:
- `make lint`
- `make type-check`
- `make test`
### Controllers & Services
- Controllers: parse input via Pydantic, invoke services, return serialised responses; no business logic.
- Services: coordinate repositories, providers, background tasks; keep side effects explicit.
- Document non-obvious behaviour with concise comments.
### Miscellaneous
- Use `configs.dify_config` for configuration—never read environment variables directly.
- Maintain tenant awareness end-to-end; `tenant_id` must flow through every layer touching shared resources.
- Queue async work through `services/async_workflow_service`; implement tasks under `tasks/` with explicit queue selection.
- Keep experimental scripts under `dev/`; do not ship them in production builds.
+22 -32
View File
@@ -1,29 +1,12 @@
# base image
FROM python:3.12-slim-bookworm AS base
FROM langgenius/python:3-debian13-sfw-ent-dev AS base
WORKDIR /app/api
# Install uv
ENV UV_VERSION=0.8.9
RUN pip install --no-cache-dir uv==${UV_VERSION}
FROM base AS packages
# if you located in China, you can use aliyun mirror to speed up
# RUN sed -i '[email protected]@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
# basic environment
g++ \
# for building gmpy2
libmpfr-dev libmpc-dev
# Install Python dependencies
COPY pyproject.toml uv.lock ./
RUN uv sync --locked --no-dev
RUN pip3 install --no-cache-dir uv==${UV_VERSION}
# production stage
FROM base AS production
@@ -31,7 +14,7 @@ FROM base AS production
ENV FLASK_APP=app.py
ENV EDITION=SELF_HOSTED
ENV DEPLOY_ENV=PRODUCTION
ENV CONSOLE_API_URL=http://127.0.0.1:5001
Env CONSOLE_API_URL=http://127.0.0.1:5001
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
ENV SERVICE_API_URL=http://127.0.0.1:5001
ENV APP_WEB_URL=http://127.0.0.1:3000
@@ -51,12 +34,9 @@ WORKDIR /app/api
# Create non-root user
ARG dify_uid=1001
ARG NODE_MAJOR=22
ARG NODE_PACKAGE_VERSION=22.21.0-1nodesource1
ARG NODE_PACKAGE_VERSION=22.22.0-1nodesource1
ARG NODESOURCE_KEY_FPR=6F71F525282841EEDAF851B42F59B5F99B1BE0B4
RUN groupadd -r -g ${dify_uid} dify && \
useradd -r -u ${dify_uid} -g ${dify_uid} -s /bin/bash dify && \
chown -R dify:dify /app
RUN \
apt-get update \
&& apt-get install -y --no-install-recommends \
@@ -79,8 +59,10 @@ RUN \
nodejs=${NODE_PACKAGE_VERSION} \
# for gmpy2 \
libgmp-dev libmpfr-dev libmpc-dev \
passwd \
g++ \
# For Security
expat libldap-2.5-0=2.5.13+dfsg-5 perl libsqlite3-0=3.40.1-2+deb12u2 zlib1g=1:1.2.13.dfsg-1 \
expat libldap-dev perl libsqlite3-dev zlib1g \
# install fonts to support the use of tools like pypdfium2
fonts-noto-cjk \
# install a package to improve the accuracy of guessing mime type and file extension
@@ -90,11 +72,24 @@ RUN \
&& apt-get autoremove -y \
&& rm -rf /var/lib/apt/lists/*
# Pinned to the 11.x line: npm@latest floats, and 12.x requires node >=22.22.2,
# which the pinned NODE_PACKAGE_VERSION above does not satisfy.
RUN npm install -g npm@11
RUN groupadd -r -g ${dify_uid} dify && \
useradd -r -u ${dify_uid} -g ${dify_uid} -s /bin/bash dify && \
chown -R dify:dify /app
# Copy Python environment and packages
ENV VIRTUAL_ENV=/app/api/.venv
COPY --from=packages --chown=dify:dify ${VIRTUAL_ENV} ${VIRTUAL_ENV}
ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
# Copy source code
COPY --chown=dify:dify . /app/api
# Prepare entrypoint script
COPY --chown=dify:dify --chmod=755 docker/entrypoint.sh /entrypoint.sh
RUN uv sync --frozen --no-dev && pip3 install --no-cache-dir --upgrade "wheel==0.46.3" "jaraco.context==6.1.0" "setuptools==80.10.2" && uv cache clean && rm -rf /root/.cache/pip
# Download nltk data
RUN mkdir -p /usr/local/share/nltk_data \
&& NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; from unstructured.nlp.tokenize import download_nltk_packages; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords'); download_nltk_packages()" \
@@ -105,11 +100,6 @@ ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')" \
&& chown -R dify:dify ${TIKTOKEN_CACHE_DIR}
# Copy source code
COPY --chown=dify:dify . /app/api/
# Prepare entrypoint script
COPY --chown=dify:dify --chmod=755 docker/entrypoint.sh /entrypoint.sh
ARG COMMIT_SHA
+115
View File
@@ -0,0 +1,115 @@
## Linter
- Always follow `.ruff.toml`.
- Run `uv run ruff check --fix --unsafe-fixes`.
- Keep each line under 100 characters (including spaces).
## Code Style
- `snake_case` for variables and functions.
- `PascalCase` for classes.
- `UPPER_CASE` for constants.
## Rules
- Use Pydantic v2 standard.
- Use `uv` for package management.
- Do not override dunder methods like `__init__`, `__iadd__`, etc.
- Never launch services (`uv run app.py`, `flask run`, etc.); running tests under `tests/` is allowed.
- Prefer simple functions over classes for lightweight helpers.
- Keep files below 800 lines; split when necessary.
- Keep code readable—no clever hacks.
- Never use `print`; log with `logger = logging.getLogger(__name__)`.
## Guiding Principles
- Mirror the projects layered architecture: controller → service → core/domain.
- Reuse existing helpers in `core/`, `services/`, and `libs/` before creating new abstractions.
- Optimise for observability: deterministic control flow, clear logging, actionable errors.
## SQLAlchemy Patterns
- Models inherit from `models.base.Base`; never create ad-hoc metadata or engines.
- Open sessions with context managers:
```python
from sqlalchemy.orm import Session
with Session(db.engine, expire_on_commit=False) as session:
stmt = select(Workflow).where(
Workflow.id == workflow_id,
Workflow.tenant_id == tenant_id,
)
workflow = session.execute(stmt).scalar_one_or_none()
```
- Use SQLAlchemy expressions; avoid raw SQL unless necessary.
- Introduce repository abstractions only for very large tables (e.g., workflow executions) to support alternative storage strategies.
- Always scope queries by `tenant_id` and protect write paths with safeguards (`FOR UPDATE`, row counts, etc.).
## Storage & External IO
- Access storage via `extensions.ext_storage.storage`.
- Use `core.helper.ssrf_proxy` for outbound HTTP fetches.
- Background tasks that touch storage must be idempotent and log the relevant object identifiers.
## Pydantic Usage
- Define DTOs with Pydantic v2 models and forbid extras by default.
- Use `@field_validator` / `@model_validator` for domain rules.
- Example:
```python
from pydantic import BaseModel, ConfigDict, HttpUrl, field_validator
class TriggerConfig(BaseModel):
endpoint: HttpUrl
secret: str
model_config = ConfigDict(extra="forbid")
@field_validator("secret")
def ensure_secret_prefix(cls, value: str) -> str:
if not value.startswith("dify_"):
raise ValueError("secret must start with dify_")
return value
```
## Generics & Protocols
- Use `typing.Protocol` to define behavioural contracts (e.g., cache interfaces).
- Apply generics (`TypeVar`, `Generic`) for reusable utilities like caches or providers.
- Validate dynamic inputs at runtime when generics cannot enforce safety alone.
## Error Handling & Logging
- Raise domain-specific exceptions (`services/errors`, `core/errors`) and translate to HTTP responses in controllers.
- Declare `logger = logging.getLogger(__name__)` at module top.
- Include tenant/app/workflow identifiers in log context.
- Log retryable events at `warning`, terminal failures at `error`.
## Tooling & Checks
- Format/lint: `uv run --project api --dev ruff format ./api` and `uv run --project api --dev ruff check --fix --unsafe-fixes ./api`.
- Type checks: `uv run --directory api --dev basedpyright`.
- Tests: `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
- Run all of the above before submitting your work.
## Controllers & Services
- Controllers: parse input via Pydantic, invoke services, return serialised responses; no business logic.
- Services: coordinate repositories, providers, background tasks; keep side effects explicit.
- Avoid repositories unless necessary; direct SQLAlchemy usage is preferred for typical tables.
- Document non-obvious behaviour with concise comments.
## Miscellaneous
- Use `configs.dify_config` for configuration—never read environment variables directly.
- Maintain tenant awareness end-to-end; `tenant_id` must flow through every layer touching shared resources.
- Queue async work through `services/async_workflow_service`; implement tasks under `tasks/` with explicit queue selection.
- Keep experimental scripts under `dev/`; do not ship them in production builds.
+3 -116
View File
@@ -3,7 +3,6 @@ import datetime
import json
import logging
import secrets
import time
from typing import Any
import click
@@ -47,8 +46,6 @@ from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpi
from services.plugin.data_migration import PluginDataMigration
from services.plugin.plugin_migration import PluginMigration
from services.plugin.plugin_service import PluginService
from services.retention.conversation.messages_clean_policy import create_message_clean_policy
from services.retention.conversation.messages_clean_service import MessagesCleanService
from services.retention.workflow_run.clear_free_plan_expired_workflow_run_logs import WorkflowRunCleanup
from tasks.remove_app_and_related_data_task import delete_draft_variables_batch
@@ -862,27 +859,8 @@ def clear_free_plan_tenant_expired_logs(days: int, batch: int, tenant_ids: list[
@click.command("clean-workflow-runs", help="Clean expired workflow runs and related data for free tenants.")
@click.option(
"--before-days",
"--days",
default=30,
show_default=True,
type=click.IntRange(min=0),
help="Delete workflow runs created before N days ago.",
)
@click.option("--days", default=30, show_default=True, help="Delete workflow runs created before N days ago.")
@click.option("--batch-size", default=200, show_default=True, help="Batch size for selecting workflow runs.")
@click.option(
"--from-days-ago",
default=None,
type=click.IntRange(min=0),
help="Lower bound in days ago (older). Must be paired with --to-days-ago.",
)
@click.option(
"--to-days-ago",
default=None,
type=click.IntRange(min=0),
help="Upper bound in days ago (newer). Must be paired with --from-days-ago.",
)
@click.option(
"--start-from",
type=click.DateTime(formats=["%Y-%m-%d", "%Y-%m-%dT%H:%M:%S"]),
@@ -901,10 +879,8 @@ def clear_free_plan_tenant_expired_logs(days: int, batch: int, tenant_ids: list[
help="Preview cleanup results without deleting any workflow run data.",
)
def clean_workflow_runs(
before_days: int,
days: int,
batch_size: int,
from_days_ago: int | None,
to_days_ago: int | None,
start_from: datetime.datetime | None,
end_before: datetime.datetime | None,
dry_run: bool,
@@ -915,24 +891,11 @@ def clean_workflow_runs(
if (start_from is None) ^ (end_before is None):
raise click.UsageError("--start-from and --end-before must be provided together.")
if (from_days_ago is None) ^ (to_days_ago is None):
raise click.UsageError("--from-days-ago and --to-days-ago must be provided together.")
if from_days_ago is not None and to_days_ago is not None:
if start_from or end_before:
raise click.UsageError("Choose either day offsets or explicit dates, not both.")
if from_days_ago <= to_days_ago:
raise click.UsageError("--from-days-ago must be greater than --to-days-ago.")
now = datetime.datetime.now()
start_from = now - datetime.timedelta(days=from_days_ago)
end_before = now - datetime.timedelta(days=to_days_ago)
before_days = 0
start_time = datetime.datetime.now(datetime.UTC)
click.echo(click.style(f"Starting workflow run cleanup at {start_time.isoformat()}.", fg="white"))
WorkflowRunCleanup(
days=before_days,
days=days,
batch_size=batch_size,
start_from=start_from,
end_before=end_before,
@@ -2209,79 +2172,3 @@ def migrate_oss(
except Exception as e:
db.session.rollback()
click.echo(click.style(f"Failed to update DB storage_type: {str(e)}", fg="red"))
@click.command("clean-expired-messages", help="Clean expired messages.")
@click.option(
"--start-from",
type=click.DateTime(formats=["%Y-%m-%d", "%Y-%m-%dT%H:%M:%S"]),
required=True,
help="Lower bound (inclusive) for created_at.",
)
@click.option(
"--end-before",
type=click.DateTime(formats=["%Y-%m-%d", "%Y-%m-%dT%H:%M:%S"]),
required=True,
help="Upper bound (exclusive) for created_at.",
)
@click.option("--batch-size", default=1000, show_default=True, help="Batch size for selecting messages.")
@click.option(
"--graceful-period",
default=21,
show_default=True,
help="Graceful period in days after subscription expiration, will be ignored when billing is disabled.",
)
@click.option("--dry-run", is_flag=True, default=False, help="Show messages logs would be cleaned without deleting")
def clean_expired_messages(
batch_size: int,
graceful_period: int,
start_from: datetime.datetime,
end_before: datetime.datetime,
dry_run: bool,
):
"""
Clean expired messages and related data for tenants based on clean policy.
"""
click.echo(click.style("clean_messages: start clean messages.", fg="green"))
start_at = time.perf_counter()
try:
# Create policy based on billing configuration
# NOTE: graceful_period will be ignored when billing is disabled.
policy = create_message_clean_policy(graceful_period_days=graceful_period)
# Create and run the cleanup service
service = MessagesCleanService.from_time_range(
policy=policy,
start_from=start_from,
end_before=end_before,
batch_size=batch_size,
dry_run=dry_run,
)
stats = service.run()
end_at = time.perf_counter()
click.echo(
click.style(
f"clean_messages: completed successfully\n"
f" - Latency: {end_at - start_at:.2f}s\n"
f" - Batches processed: {stats['batches']}\n"
f" - Total messages scanned: {stats['total_messages']}\n"
f" - Messages filtered: {stats['filtered_messages']}\n"
f" - Messages deleted: {stats['total_deleted']}",
fg="green",
)
)
except Exception as e:
end_at = time.perf_counter()
logger.exception("clean_messages failed")
click.echo(
click.style(
f"clean_messages: failed after {end_at - start_at:.2f}s - {str(e)}",
fg="red",
)
)
raise
click.echo(click.style("messages cleanup completed.", fg="green"))
+4
View File
@@ -18,3 +18,7 @@ class EnterpriseFeatureConfig(BaseSettings):
description="Allow customization of the enterprise logo.",
default=False,
)
ENTERPRISE_REQUEST_TIMEOUT: int = Field(
ge=1, description="Maximum timeout in seconds for enterprise requests", default=90
)
-6
View File
@@ -949,12 +949,6 @@ class MailConfig(BaseSettings):
default=False,
)
SMTP_LOCAL_HOSTNAME: str | None = Field(
description="Override the local hostname used in SMTP HELO/EHLO. "
"Useful behind NAT or when the default hostname causes rejections.",
default=None,
)
EMAIL_SEND_IP_LIMIT_PER_MINUTE: PositiveInt = Field(
description="Maximum number of emails allowed to be sent from the same IP address in a minute",
default=50,
@@ -4,7 +4,7 @@ from pydantic_settings import BaseSettings
class VolcengineTOSStorageConfig(BaseSettings):
"""
Configuration settings for Volcengine Torch Object Storage (TOS)
Configuration settings for Volcengine Tinder Object Storage (TOS)
"""
VOLCENGINE_TOS_BUCKET_NAME: str | None = Field(
+4 -7
View File
@@ -592,12 +592,9 @@ def _get_conversation(app_model, conversation_id):
if not conversation:
raise NotFound("Conversation Not Exists.")
db.session.execute(
sa.update(Conversation)
.where(Conversation.id == conversation_id, Conversation.read_at.is_(None))
.values(read_at=naive_utc_now(), read_account_id=current_user.id)
)
db.session.commit()
db.session.refresh(conversation)
if not conversation.read_at:
conversation.read_at = naive_utc_now()
conversation.read_account_id = current_user.id
db.session.commit()
return conversation
+7
View File
@@ -69,6 +69,13 @@ class ActivateCheckApi(Resource):
if invitation:
data = invitation.get("data", {})
tenant = invitation.get("tenant", None)
# Check workspace permission
if tenant:
from libs.workspace_permission import check_workspace_member_invite_permission
check_workspace_member_invite_permission(tenant.id)
workspace_name = tenant.name if tenant else None
workspace_id = tenant.id if tenant else None
invitee_email = data.get("email") if data else None
@@ -7,7 +7,7 @@ from typing import Literal, cast
import sqlalchemy as sa
from flask import request
from flask_restx import Resource, fields, marshal, marshal_with
from pydantic import BaseModel, Field
from pydantic import BaseModel
from sqlalchemy import asc, desc, select
from werkzeug.exceptions import Forbidden, NotFound
@@ -104,15 +104,6 @@ class DocumentRenamePayload(BaseModel):
name: str
class DocumentDatasetListParam(BaseModel):
page: int = Field(1, title="Page", description="Page number.")
limit: int = Field(20, title="Limit", description="Page size.")
search: str | None = Field(None, alias="keyword", title="Search", description="Search keyword.")
sort_by: str = Field("-created_at", alias="sort", title="SortBy", description="Sort by field.")
status: str | None = Field(None, title="Status", description="Document status.")
fetch_val: str = Field("false", alias="fetch")
register_schema_models(
console_ns,
KnowledgeConfig,
@@ -234,16 +225,14 @@ class DatasetDocumentListApi(Resource):
def get(self, dataset_id):
current_user, current_tenant_id = current_account_with_tenant()
dataset_id = str(dataset_id)
raw_args = request.args.to_dict()
param = DocumentDatasetListParam.model_validate(raw_args)
page = param.page
limit = param.limit
search = param.search
sort = param.sort_by
status = param.status
page = request.args.get("page", default=1, type=int)
limit = request.args.get("limit", default=20, type=int)
search = request.args.get("keyword", default=None, type=str)
sort = request.args.get("sort", default="-created_at", type=str)
status = request.args.get("status", default=None, type=str)
# "yes", "true", "t", "y", "1" convert to True, while others convert to False.
try:
fetch_val = param.fetch_val
fetch_val = request.args.get("fetch", default="false")
if isinstance(fetch_val, bool):
fetch = fetch_val
else:
+1 -1
View File
@@ -81,7 +81,7 @@ class ExternalKnowledgeApiPayload(BaseModel):
class ExternalDatasetCreatePayload(BaseModel):
external_knowledge_api_id: str
external_knowledge_id: str
name: str = Field(..., min_length=1, max_length=100)
name: str = Field(..., min_length=1, max_length=40)
description: str | None = Field(None, max_length=400)
external_retrieval_model: dict[str, object] | None = None
+3 -11
View File
@@ -30,11 +30,6 @@ class TagBindingRemovePayload(BaseModel):
type: Literal["knowledge", "app"] | None = Field(default=None, description="Tag type")
class TagListQueryParam(BaseModel):
type: Literal["knowledge", "app", ""] = Field("", description="Tag type filter")
keyword: str | None = Field(None, description="Search keyword")
register_schema_models(
console_ns,
TagBasePayload,
@@ -48,15 +43,12 @@ class TagListApi(Resource):
@setup_required
@login_required
@account_initialization_required
@console_ns.doc(
params={"type": 'Tag type filter. Can be "knowledge" or "app".', "keyword": "Search keyword for tag name."}
)
@marshal_with(dataset_tag_fields)
def get(self):
_, current_tenant_id = current_account_with_tenant()
raw_args = request.args.to_dict()
param = TagListQueryParam.model_validate(raw_args)
tags = TagService.get_tags(param.type, current_tenant_id, param.keyword)
tag_type = request.args.get("type", type=str, default="")
keyword = request.args.get("keyword", default=None, type=str)
tags = TagService.get_tags(tag_type, current_tenant_id, keyword)
return tags, 200
@@ -107,6 +107,12 @@ class MemberInviteEmailApi(Resource):
inviter = current_user
if not inviter.current_tenant:
raise ValueError("No current tenant")
# Check workspace permission for member invitations
from libs.workspace_permission import check_workspace_member_invite_permission
check_workspace_member_invite_permission(inviter.current_tenant.id)
invitation_results = []
console_web_url = dify_config.CONSOLE_WEB_URL
@@ -825,7 +825,11 @@ class ToolBuiltinProviderSetDefaultApi(Resource):
current_user, current_tenant_id = current_account_with_tenant()
args = parser_default_cred.parse_args()
return BuiltinToolManageService.set_default_provider(
tenant_id=current_tenant_id, user_id=current_user.id, provider=provider, id=args["id"]
tenant_id=current_tenant_id,
user_id=current_user.id,
provider=provider,
id=args["id"],
account=current_user,
)
@@ -20,6 +20,7 @@ from controllers.console.error import AccountNotLinkTenantError
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_resource_check,
only_edition_enterprise,
setup_required,
)
from enums.cloud_plan import CloudPlan
@@ -28,6 +29,7 @@ from libs.helper import TimestampField
from libs.login import current_account_with_tenant, login_required
from models.account import Tenant, TenantStatus
from services.account_service import TenantService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
from services.file_service import FileService
from services.workspace_service import WorkspaceService
@@ -288,3 +290,31 @@ class WorkspaceInfoApi(Resource):
db.session.commit()
return {"result": "success", "tenant": marshal(WorkspaceService.get_tenant_info(tenant), tenant_fields)}
@console_ns.route("/workspaces/current/permission")
class WorkspacePermissionApi(Resource):
"""Get workspace permissions for the current workspace."""
@setup_required
@login_required
@account_initialization_required
@only_edition_enterprise
def get(self):
"""
Get workspace permission settings.
Returns permission flags that control workspace features like member invitations and owner transfer.
"""
_, current_tenant_id = current_account_with_tenant()
if not current_tenant_id:
raise ValueError("No current tenant")
# Get workspace permissions from enterprise service
permission = EnterpriseService.WorkspacePermissionService.get_permission(current_tenant_id)
return {
"workspace_id": permission.workspace_id,
"allow_member_invite": permission.allow_member_invite,
"allow_owner_transfer": permission.allow_owner_transfer,
}, 200
+5 -6
View File
@@ -286,13 +286,12 @@ def enable_change_email(view: Callable[P, R]):
def is_allow_transfer_owner(view: Callable[P, R]):
@wraps(view)
def decorated(*args: P.args, **kwargs: P.kwargs):
_, current_tenant_id = current_account_with_tenant()
features = FeatureService.get_features(current_tenant_id)
if features.is_allow_transfer_workspace:
return view(*args, **kwargs)
from libs.workspace_permission import check_workspace_owner_transfer_permission
# otherwise, return 403
abort(403)
_, current_tenant_id = current_account_with_tenant()
# Check both billing/plan level and workspace policy level permissions
check_workspace_owner_transfer_permission(current_tenant_id)
return view(*args, **kwargs)
return decorated
@@ -24,7 +24,7 @@ from core.app.layers.conversation_variable_persist_layer import ConversationVari
from core.db.session_factory import session_factory
from core.moderation.base import ModerationError
from core.moderation.input_moderation import InputModeration
from core.variables.variables import Variable
from core.variables.variables import VariableUnion
from core.workflow.enums import WorkflowType
from core.workflow.graph_engine.command_channels.redis_channel import RedisChannel
from core.workflow.graph_engine.layers.base import GraphEngineLayer
@@ -149,8 +149,8 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
system_variables=system_inputs,
user_inputs=inputs,
environment_variables=self._workflow.environment_variables,
# Based on the definition of `Variable`,
# `VariableBase` instances can be safely used as `Variable` since they are compatible.
# Based on the definition of `VariableUnion`,
# `list[Variable]` can be safely used as `list[VariableUnion]` since they are compatible.
conversation_variables=conversation_variables,
)
@@ -318,7 +318,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
trace_manager=app_generate_entity.trace_manager,
)
def _initialize_conversation_variables(self) -> list[Variable]:
def _initialize_conversation_variables(self) -> list[VariableUnion]:
"""
Initialize conversation variables for the current conversation.
@@ -343,7 +343,7 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
conversation_variables = [var.to_variable() for var in existing_variables]
session.commit()
return cast(list[Variable], conversation_variables)
return cast(list[VariableUnion], conversation_variables)
def _load_existing_conversation_variables(self, session: Session) -> list[ConversationVariable]:
"""
@@ -1,6 +1,6 @@
import logging
from core.variables import VariableBase
from core.variables import Variable
from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID
from core.workflow.conversation_variable_updater import ConversationVariableUpdater
from core.workflow.enums import NodeType
@@ -44,7 +44,7 @@ class ConversationVariablePersistenceLayer(GraphEngineLayer):
if selector[0] != CONVERSATION_VARIABLE_NODE_ID:
continue
variable = self.graph_runtime_state.variable_pool.get(selector)
if not isinstance(variable, VariableBase):
if not isinstance(variable, Variable):
logger.warning(
"Conversation variable not found in variable pool. selector=%s",
selector,
-4
View File
@@ -33,10 +33,6 @@ class MaxRetriesExceededError(ValueError):
pass
request_error = httpx.RequestError
max_retries_exceeded_error = MaxRetriesExceededError
def _create_proxy_mounts() -> dict[str, httpx.HTTPTransport]:
return {
"http://": httpx.HTTPTransport(
+16 -11
View File
@@ -71,8 +71,8 @@ class LLMGenerator:
response: LLMResult = model_instance.invoke_llm(
prompt_messages=list(prompts), model_parameters={"max_tokens": 500, "temperature": 1}, stream=False
)
answer = response.message.get_text_content()
if answer == "":
answer = cast(str, response.message.content)
if answer is None:
return ""
try:
result_dict = json.loads(answer)
@@ -184,7 +184,7 @@ class LLMGenerator:
prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
)
rule_config["prompt"] = response.message.get_text_content()
rule_config["prompt"] = cast(str, response.message.content)
except InvokeError as e:
error = str(e)
@@ -237,11 +237,13 @@ class LLMGenerator:
return rule_config
rule_config["prompt"] = prompt_content.message.get_text_content()
rule_config["prompt"] = cast(str, prompt_content.message.content)
if not isinstance(prompt_content.message.content, str):
raise NotImplementedError("prompt content is not a string")
parameter_generate_prompt = parameter_template.format(
inputs={
"INPUT_TEXT": prompt_content.message.get_text_content(),
"INPUT_TEXT": prompt_content.message.content,
},
remove_template_variables=False,
)
@@ -251,7 +253,7 @@ class LLMGenerator:
statement_generate_prompt = statement_template.format(
inputs={
"TASK_DESCRIPTION": instruction,
"INPUT_TEXT": prompt_content.message.get_text_content(),
"INPUT_TEXT": prompt_content.message.content,
},
remove_template_variables=False,
)
@@ -261,7 +263,7 @@ class LLMGenerator:
parameter_content: LLMResult = model_instance.invoke_llm(
prompt_messages=list(parameter_messages), model_parameters=model_parameters, stream=False
)
rule_config["variables"] = re.findall(r'"\s*([^"]+)\s*"', parameter_content.message.get_text_content())
rule_config["variables"] = re.findall(r'"\s*([^"]+)\s*"', cast(str, parameter_content.message.content))
except InvokeError as e:
error = str(e)
error_step = "generate variables"
@@ -270,7 +272,7 @@ class LLMGenerator:
statement_content: LLMResult = model_instance.invoke_llm(
prompt_messages=list(statement_messages), model_parameters=model_parameters, stream=False
)
rule_config["opening_statement"] = statement_content.message.get_text_content()
rule_config["opening_statement"] = cast(str, statement_content.message.content)
except InvokeError as e:
error = str(e)
error_step = "generate conversation opener"
@@ -313,7 +315,7 @@ class LLMGenerator:
prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
)
generated_code = response.message.get_text_content()
generated_code = cast(str, response.message.content)
return {"code": generated_code, "language": code_language, "error": ""}
except InvokeError as e:
@@ -349,7 +351,7 @@ class LLMGenerator:
raise TypeError("Expected LLMResult when stream=False")
response = result
answer = response.message.get_text_content()
answer = cast(str, response.message.content)
return answer.strip()
@classmethod
@@ -373,7 +375,10 @@ class LLMGenerator:
prompt_messages=list(prompt_messages), model_parameters=model_parameters, stream=False
)
raw_content = response.message.get_text_content()
raw_content = response.message.content
if not isinstance(raw_content, str):
raise ValueError(f"LLM response content must be a string, got: {type(raw_content)}")
try:
parsed_content = json.loads(raw_content)
+2 -2
View File
@@ -55,7 +55,7 @@ from core.ops.entities.trace_entity import (
ToolTraceInfo,
WorkflowTraceInfo,
)
from core.repositories import DifyCoreRepositoryFactory
from core.repositories import SQLAlchemyWorkflowNodeExecutionRepository
from core.workflow.entities import WorkflowNodeExecution
from core.workflow.enums import NodeType, WorkflowNodeExecutionMetadataKey
from extensions.ext_database import db
@@ -275,7 +275,7 @@ class AliyunDataTrace(BaseTraceInstance):
service_account = self.get_service_account_with_tenant(app_id)
session_factory = sessionmaker(bind=db.engine)
workflow_node_execution_repository = DifyCoreRepositoryFactory.create_workflow_node_execution_repository(
workflow_node_execution_repository = SQLAlchemyWorkflowNodeExecutionRepository(
session_factory=session_factory,
user=service_account,
app_id=app_id,
+11 -21
View File
@@ -1,6 +1,5 @@
from core.plugin.entities.endpoint import EndpointEntityWithInstance
from core.plugin.impl.base import BasePluginClient
from core.plugin.impl.exc import PluginDaemonInternalServerError
class PluginEndpointClient(BasePluginClient):
@@ -71,27 +70,18 @@ class PluginEndpointClient(BasePluginClient):
def delete_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str):
"""
Delete the given endpoint.
This operation is idempotent: if the endpoint is already deleted (record not found),
it will return True instead of raising an error.
"""
try:
return self._request_with_plugin_daemon_response(
"POST",
f"plugin/{tenant_id}/endpoint/remove",
bool,
data={
"endpoint_id": endpoint_id,
},
headers={
"Content-Type": "application/json",
},
)
except PluginDaemonInternalServerError as e:
# Make delete idempotent: if record is not found, consider it a success
if "record not found" in str(e.description).lower():
return True
raise
return self._request_with_plugin_daemon_response(
"POST",
f"plugin/{tenant_id}/endpoint/remove",
bool,
data={
"endpoint_id": endpoint_id,
},
headers={
"Content-Type": "application/json",
},
)
def enable_endpoint(self, tenant_id: str, user_id: str, endpoint_id: str):
"""
@@ -1,413 +0,0 @@
import json
import logging
import math
from collections.abc import Iterable
from typing import Any
import tablestore # type: ignore
from pydantic import BaseModel, model_validator
from tablestore import BatchGetRowRequest, TableInBatchGetRowItem
from configs import dify_config
from core.rag.datasource.vdb.field import Field
from core.rag.datasource.vdb.vector_base import BaseVector
from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.embedding.embedding_base import Embeddings
from core.rag.models.document import Document
from extensions.ext_redis import redis_client
from models import Dataset
logger = logging.getLogger(__name__)
class TableStoreConfig(BaseModel):
access_key_id: str | None = None
access_key_secret: str | None = None
instance_name: str | None = None
endpoint: str | None = None
normalize_full_text_bm25_score: bool | None = False
@model_validator(mode="before")
@classmethod
def validate_config(cls, values: dict):
if not values["access_key_id"]:
raise ValueError("config ACCESS_KEY_ID is required")
if not values["access_key_secret"]:
raise ValueError("config ACCESS_KEY_SECRET is required")
if not values["instance_name"]:
raise ValueError("config INSTANCE_NAME is required")
if not values["endpoint"]:
raise ValueError("config ENDPOINT is required")
return values
class TableStoreVector(BaseVector):
def __init__(self, collection_name: str, config: TableStoreConfig):
super().__init__(collection_name)
self._config = config
self._tablestore_client = tablestore.OTSClient(
config.endpoint,
config.access_key_id,
config.access_key_secret,
config.instance_name,
)
self._normalize_full_text_bm25_score = config.normalize_full_text_bm25_score
self._table_name = f"{collection_name}"
self._index_name = f"{collection_name}_idx"
self._tags_field = f"{Field.METADATA_KEY}_tags"
def create_collection(self, embeddings: list[list[float]], **kwargs):
dimension = len(embeddings[0])
self._create_collection(dimension)
def get_by_ids(self, ids: list[str]) -> list[Document]:
docs = []
request = BatchGetRowRequest()
columns_to_get = [Field.METADATA_KEY, Field.CONTENT_KEY]
rows_to_get = [[("id", _id)] for _id in ids]
request.add(TableInBatchGetRowItem(self._table_name, rows_to_get, columns_to_get, None, 1))
result = self._tablestore_client.batch_get_row(request)
table_result = result.get_result_by_table(self._table_name)
for item in table_result:
if item.is_ok and item.row:
kv = {k: v for k, v, _ in item.row.attribute_columns}
docs.append(Document(page_content=kv[Field.CONTENT_KEY], metadata=json.loads(kv[Field.METADATA_KEY])))
return docs
def get_type(self) -> str:
return VectorType.TABLESTORE
def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
dimension = len(embeddings[0])
self._create_collection(dimension)
self.add_texts(documents=texts, embeddings=embeddings, **kwargs)
def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
uuids = self._get_uuids(documents)
for i in range(len(documents)):
self._write_row(
primary_key=uuids[i],
attributes={
Field.CONTENT_KEY: documents[i].page_content,
Field.VECTOR: embeddings[i],
Field.METADATA_KEY: documents[i].metadata,
},
)
return uuids
def text_exists(self, id: str) -> bool:
result = self._tablestore_client.get_row(
table_name=self._table_name, primary_key=[("id", id)], columns_to_get=["id"]
)
assert isinstance(result, tuple | list)
# Unpack the tuple result
_, return_row, _ = result
return return_row is not None
def delete_by_ids(self, ids: list[str]):
if not ids:
return
for id in ids:
self._delete_row(id=id)
def get_ids_by_metadata_field(self, key: str, value: str):
return self._search_by_metadata(key, value)
def delete_by_metadata_field(self, key: str, value: str):
ids = self.get_ids_by_metadata_field(key, value)
self.delete_by_ids(ids)
def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
top_k = kwargs.get("top_k", 4)
document_ids_filter = kwargs.get("document_ids_filter")
filtered_list = None
if document_ids_filter:
filtered_list = ["document_id=" + item for item in document_ids_filter]
score_threshold = float(kwargs.get("score_threshold") or 0.0)
return self._search_by_vector(query_vector, filtered_list, top_k, score_threshold)
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
top_k = kwargs.get("top_k", 4)
document_ids_filter = kwargs.get("document_ids_filter")
filtered_list = None
if document_ids_filter:
filtered_list = ["document_id=" + item for item in document_ids_filter]
score_threshold = float(kwargs.get("score_threshold") or 0.0)
return self._search_by_full_text(query, filtered_list, top_k, score_threshold)
def delete(self):
self._delete_table_if_exist()
def _create_collection(self, dimension: int):
lock_name = f"vector_indexing_lock_{self._collection_name}"
with redis_client.lock(lock_name, timeout=20):
collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
if redis_client.get(collection_exist_cache_key):
logger.info("Collection %s already exists.", self._collection_name)
return
self._create_table_if_not_exist()
self._create_search_index_if_not_exist(dimension)
redis_client.set(collection_exist_cache_key, 1, ex=3600)
def _create_table_if_not_exist(self):
table_list = self._tablestore_client.list_table()
if self._table_name in table_list:
logger.info("Tablestore system table[%s] already exists", self._table_name)
return None
schema_of_primary_key = [("id", "STRING")]
table_meta = tablestore.TableMeta(self._table_name, schema_of_primary_key)
table_options = tablestore.TableOptions()
reserved_throughput = tablestore.ReservedThroughput(tablestore.CapacityUnit(0, 0))
self._tablestore_client.create_table(table_meta, table_options, reserved_throughput)
logger.info("Tablestore create table[%s] successfully.", self._table_name)
def _create_search_index_if_not_exist(self, dimension: int):
search_index_list = self._tablestore_client.list_search_index(table_name=self._table_name)
assert isinstance(search_index_list, Iterable)
if self._index_name in [t[1] for t in search_index_list]:
logger.info("Tablestore system index[%s] already exists", self._index_name)
return None
field_schemas = [
tablestore.FieldSchema(
Field.CONTENT_KEY,
tablestore.FieldType.TEXT,
analyzer=tablestore.AnalyzerType.MAXWORD,
index=True,
enable_sort_and_agg=False,
store=False,
),
tablestore.FieldSchema(
Field.VECTOR,
tablestore.FieldType.VECTOR,
vector_options=tablestore.VectorOptions(
data_type=tablestore.VectorDataType.VD_FLOAT_32,
dimension=dimension,
metric_type=tablestore.VectorMetricType.VM_COSINE,
),
),
tablestore.FieldSchema(
Field.METADATA_KEY,
tablestore.FieldType.KEYWORD,
index=True,
store=False,
),
tablestore.FieldSchema(
self._tags_field,
tablestore.FieldType.KEYWORD,
index=True,
store=False,
is_array=True,
),
]
index_meta = tablestore.SearchIndexMeta(field_schemas)
self._tablestore_client.create_search_index(self._table_name, self._index_name, index_meta)
logger.info("Tablestore create system index[%s] successfully.", self._index_name)
def _delete_table_if_exist(self):
search_index_list = self._tablestore_client.list_search_index(table_name=self._table_name)
assert isinstance(search_index_list, Iterable)
for resp_tuple in search_index_list:
self._tablestore_client.delete_search_index(resp_tuple[0], resp_tuple[1])
logger.info("Tablestore delete index[%s] successfully.", self._index_name)
self._tablestore_client.delete_table(self._table_name)
logger.info("Tablestore delete system table[%s] successfully.", self._index_name)
def _delete_search_index(self):
self._tablestore_client.delete_search_index(self._table_name, self._index_name)
logger.info("Tablestore delete index[%s] successfully.", self._index_name)
def _write_row(self, primary_key: str, attributes: dict[str, Any]):
pk = [("id", primary_key)]
tags = []
for key, value in attributes[Field.METADATA_KEY].items():
tags.append(str(key) + "=" + str(value))
attribute_columns = [
(Field.CONTENT_KEY, attributes[Field.CONTENT_KEY]),
(Field.VECTOR, json.dumps(attributes[Field.VECTOR])),
(
Field.METADATA_KEY,
json.dumps(attributes[Field.METADATA_KEY]),
),
(self._tags_field, json.dumps(tags)),
]
row = tablestore.Row(pk, attribute_columns)
self._tablestore_client.put_row(self._table_name, row)
def _delete_row(self, id: str):
primary_key = [("id", id)]
row = tablestore.Row(primary_key)
self._tablestore_client.delete_row(self._table_name, row, None)
def _search_by_metadata(self, key: str, value: str) -> list[str]:
query = tablestore.SearchQuery(
tablestore.TermQuery(self._tags_field, str(key) + "=" + str(value)),
limit=1000,
get_total_count=False,
)
rows: list[str] = []
next_token = None
while True:
if next_token is not None:
query.next_token = next_token
search_response = self._tablestore_client.search(
table_name=self._table_name,
index_name=self._index_name,
search_query=query,
columns_to_get=tablestore.ColumnsToGet(
column_names=[Field.PRIMARY_KEY], return_type=tablestore.ColumnReturnType.SPECIFIED
),
)
if search_response is not None:
rows.extend([row[0][0][1] for row in list(search_response.rows)])
if search_response is None or search_response.next_token == b"":
break
else:
next_token = search_response.next_token
return rows
def _search_by_vector(
self, query_vector: list[float], document_ids_filter: list[str] | None, top_k: int, score_threshold: float
) -> list[Document]:
knn_vector_query = tablestore.KnnVectorQuery(
field_name=Field.VECTOR,
top_k=top_k,
float32_query_vector=query_vector,
)
if document_ids_filter:
knn_vector_query.filter = tablestore.TermsQuery(self._tags_field, document_ids_filter)
sort = tablestore.Sort(sorters=[tablestore.ScoreSort(sort_order=tablestore.SortOrder.DESC)])
search_query = tablestore.SearchQuery(knn_vector_query, limit=top_k, get_total_count=False, sort=sort)
search_response = self._tablestore_client.search(
table_name=self._table_name,
index_name=self._index_name,
search_query=search_query,
columns_to_get=tablestore.ColumnsToGet(return_type=tablestore.ColumnReturnType.ALL_FROM_INDEX),
)
documents = []
for search_hit in search_response.search_hits:
if search_hit.score >= score_threshold:
ots_column_map = {}
for col in search_hit.row[1]:
ots_column_map[col[0]] = col[1]
vector_str = ots_column_map.get(Field.VECTOR)
metadata_str = ots_column_map.get(Field.METADATA_KEY)
vector = json.loads(vector_str) if vector_str else None
metadata = json.loads(metadata_str) if metadata_str else {}
metadata["score"] = search_hit.score
documents.append(
Document(
page_content=ots_column_map.get(Field.CONTENT_KEY) or "",
vector=vector,
metadata=metadata,
)
)
documents = sorted(documents, key=lambda x: x.metadata["score"] if x.metadata else 0, reverse=True)
return documents
@staticmethod
def _normalize_score_exp_decay(score: float, k: float = 0.15) -> float:
"""
Args:
score: BM25 search score.
k: decay factor, the larger the k, the steeper the low score end
"""
normalized_score = 1 - math.exp(-k * score)
return max(0.0, min(1.0, normalized_score))
def _search_by_full_text(
self, query: str, document_ids_filter: list[str] | None, top_k: int, score_threshold: float
) -> list[Document]:
bool_query = tablestore.BoolQuery(must_queries=[], filter_queries=[], should_queries=[], must_not_queries=[])
bool_query.must_queries.append(tablestore.MatchQuery(text=query, field_name=Field.CONTENT_KEY))
if document_ids_filter:
bool_query.filter_queries.append(tablestore.TermsQuery(self._tags_field, document_ids_filter))
search_query = tablestore.SearchQuery(
query=bool_query,
sort=tablestore.Sort(sorters=[tablestore.ScoreSort(sort_order=tablestore.SortOrder.DESC)]),
limit=top_k,
)
search_response = self._tablestore_client.search(
table_name=self._table_name,
index_name=self._index_name,
search_query=search_query,
columns_to_get=tablestore.ColumnsToGet(return_type=tablestore.ColumnReturnType.ALL_FROM_INDEX),
)
documents = []
for search_hit in search_response.search_hits:
score = None
if self._normalize_full_text_bm25_score:
score = self._normalize_score_exp_decay(search_hit.score)
# skip when score is below threshold and use normalize score
if score and score <= score_threshold:
continue
ots_column_map = {}
for col in search_hit.row[1]:
ots_column_map[col[0]] = col[1]
metadata_str = ots_column_map.get(Field.METADATA_KEY)
metadata = json.loads(metadata_str) if metadata_str else {}
vector_str = ots_column_map.get(Field.VECTOR)
vector = json.loads(vector_str) if vector_str else None
if score:
metadata["score"] = score
documents.append(
Document(
page_content=ots_column_map.get(Field.CONTENT_KEY) or "",
vector=vector,
metadata=metadata,
)
)
if self._normalize_full_text_bm25_score:
documents = sorted(documents, key=lambda x: x.metadata["score"] if x.metadata else 0, reverse=True)
return documents
class TableStoreVectorFactory(AbstractVectorFactory):
def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> TableStoreVector:
if dataset.index_struct_dict:
class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
collection_name = class_prefix
else:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.TABLESTORE, collection_name))
return TableStoreVector(
collection_name=collection_name,
config=TableStoreConfig(
endpoint=dify_config.TABLESTORE_ENDPOINT,
instance_name=dify_config.TABLESTORE_INSTANCE_NAME,
access_key_id=dify_config.TABLESTORE_ACCESS_KEY_ID,
access_key_secret=dify_config.TABLESTORE_ACCESS_KEY_SECRET,
normalize_full_text_bm25_score=dify_config.TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE,
),
)
@@ -119,10 +119,6 @@ class Vector:
from core.rag.datasource.vdb.tidb_vector.tidb_vector import TiDBVectorFactory
return TiDBVectorFactory
case VectorType.WEAVIATE:
from core.rag.datasource.vdb.weaviate.weaviate_vector import WeaviateVectorFactory
return WeaviateVectorFactory
case VectorType.TENCENT:
from core.rag.datasource.vdb.tencent.tencent_vector import TencentVectorFactory
@@ -171,10 +167,6 @@ class Vector:
from core.rag.datasource.vdb.opengauss.opengauss import OpenGaussFactory
return OpenGaussFactory
case VectorType.TABLESTORE:
from core.rag.datasource.vdb.tablestore.tablestore_vector import TableStoreVectorFactory
return TableStoreVectorFactory
case VectorType.HUAWEI_CLOUD:
from core.rag.datasource.vdb.huawei.huawei_cloud_vector import HuaweiCloudVectorFactory
@@ -1,468 +0,0 @@
"""
Weaviate vector database implementation for Dify's RAG system.
This module provides integration with Weaviate vector database for storing and retrieving
document embeddings used in retrieval-augmented generation workflows.
"""
import datetime
import json
import logging
import uuid as _uuid
from typing import Any
from urllib.parse import urlparse
import weaviate
import weaviate.classes.config as wc
from pydantic import BaseModel, model_validator
from weaviate.classes.data import DataObject
from weaviate.classes.init import Auth
from weaviate.classes.query import Filter, MetadataQuery
from weaviate.exceptions import UnexpectedStatusCodeError
from configs import dify_config
from core.rag.datasource.vdb.field import Field
from core.rag.datasource.vdb.vector_base import BaseVector
from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.embedding.embedding_base import Embeddings
from core.rag.models.document import Document
from extensions.ext_redis import redis_client
from models.dataset import Dataset
logger = logging.getLogger(__name__)
class WeaviateConfig(BaseModel):
"""
Configuration model for Weaviate connection settings.
Attributes:
endpoint: Weaviate server endpoint URL
grpc_endpoint: Optional Weaviate gRPC server endpoint URL
api_key: Optional API key for authentication
batch_size: Number of objects to batch per insert operation
"""
endpoint: str
grpc_endpoint: str | None = None
api_key: str | None = None
batch_size: int = 100
@model_validator(mode="before")
@classmethod
def validate_config(cls, values: dict) -> dict:
"""Validates that required configuration values are present."""
if not values["endpoint"]:
raise ValueError("config WEAVIATE_ENDPOINT is required")
return values
class WeaviateVector(BaseVector):
"""
Weaviate vector database implementation for document storage and retrieval.
Handles creation, insertion, deletion, and querying of document embeddings
in a Weaviate collection.
"""
_DOCUMENT_ID_PROPERTY = "document_id"
def __init__(self, collection_name: str, config: WeaviateConfig, attributes: list):
"""
Initializes the Weaviate vector store.
Args:
collection_name: Name of the Weaviate collection
config: Weaviate configuration settings
attributes: List of metadata attributes to store
"""
super().__init__(collection_name)
self._client = self._init_client(config)
self._attributes = attributes
def __del__(self):
"""
Destructor to properly close the Weaviate client connection.
Prevents connection leaks and resource warnings.
"""
if hasattr(self, "_client") and self._client is not None:
try:
self._client.close()
except Exception as e:
# Ignore errors during cleanup as object is being destroyed
logger.warning("Error closing Weaviate client %s", e, exc_info=True)
def _init_client(self, config: WeaviateConfig) -> weaviate.WeaviateClient:
"""
Initializes and returns a connected Weaviate client.
Configures both HTTP and gRPC connections with proper authentication.
"""
p = urlparse(config.endpoint)
host = p.hostname or config.endpoint.replace("https://", "").replace("http://", "")
http_secure = p.scheme == "https"
http_port = p.port or (443 if http_secure else 80)
# Parse gRPC configuration
if config.grpc_endpoint:
# Urls without scheme won't be parsed correctly in some python versions,
# see https://bugs.python.org/issue27657
grpc_endpoint_with_scheme = (
config.grpc_endpoint if "://" in config.grpc_endpoint else f"grpc://{config.grpc_endpoint}"
)
grpc_p = urlparse(grpc_endpoint_with_scheme)
grpc_host = grpc_p.hostname or "localhost"
grpc_port = grpc_p.port or (443 if grpc_p.scheme == "grpcs" else 50051)
grpc_secure = grpc_p.scheme == "grpcs"
else:
# Infer from HTTP endpoint as fallback
grpc_host = host
grpc_secure = http_secure
grpc_port = 443 if grpc_secure else 50051
client = weaviate.connect_to_custom(
http_host=host,
http_port=http_port,
http_secure=http_secure,
grpc_host=grpc_host,
grpc_port=grpc_port,
grpc_secure=grpc_secure,
auth_credentials=Auth.api_key(config.api_key) if config.api_key else None,
skip_init_checks=True, # Skip PyPI version check to avoid unnecessary HTTP requests
)
if not client.is_ready():
raise ConnectionError("Vector database is not ready")
return client
def get_type(self) -> str:
"""Returns the vector database type identifier."""
return VectorType.WEAVIATE
def get_collection_name(self, dataset: Dataset) -> str:
"""
Retrieves or generates the collection name for a dataset.
Uses existing index structure if available, otherwise generates from dataset ID.
"""
if dataset.index_struct_dict:
class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
if not class_prefix.endswith("_Node"):
class_prefix += "_Node"
return class_prefix
dataset_id = dataset.id
return Dataset.gen_collection_name_by_id(dataset_id)
def to_index_struct(self) -> dict:
"""Returns the index structure dictionary for persistence."""
return {"type": self.get_type(), "vector_store": {"class_prefix": self._collection_name}}
def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
"""
Creates a new collection and adds initial documents with embeddings.
"""
self._create_collection()
self.add_texts(texts, embeddings)
def _create_collection(self):
"""
Creates the Weaviate collection with required schema if it doesn't exist.
Uses Redis locking to prevent concurrent creation attempts.
"""
lock_name = f"vector_indexing_lock_{self._collection_name}"
with redis_client.lock(lock_name, timeout=20):
cache_key = f"vector_indexing_{self._collection_name}"
if redis_client.get(cache_key):
return
try:
if not self._client.collections.exists(self._collection_name):
tokenization = (
wc.Tokenization(dify_config.WEAVIATE_TOKENIZATION)
if dify_config.WEAVIATE_TOKENIZATION
else wc.Tokenization.WORD
)
self._client.collections.create(
name=self._collection_name,
properties=[
wc.Property(
name=Field.TEXT_KEY.value,
data_type=wc.DataType.TEXT,
tokenization=tokenization,
),
wc.Property(name="document_id", data_type=wc.DataType.TEXT),
wc.Property(name="doc_id", data_type=wc.DataType.TEXT),
wc.Property(name="chunk_index", data_type=wc.DataType.INT),
],
vector_config=wc.Configure.Vectors.self_provided(),
)
self._ensure_properties()
redis_client.set(cache_key, 1, ex=3600)
except Exception as e:
logger.exception("Error creating collection %s", self._collection_name)
raise
def _ensure_properties(self) -> None:
"""
Ensures all required properties exist in the collection schema.
Adds missing properties if the collection exists but lacks them.
"""
if not self._client.collections.exists(self._collection_name):
return
col = self._client.collections.use(self._collection_name)
cfg = col.config.get()
existing = {p.name for p in (cfg.properties or [])}
to_add = []
if "document_id" not in existing:
to_add.append(wc.Property(name="document_id", data_type=wc.DataType.TEXT))
if "doc_id" not in existing:
to_add.append(wc.Property(name="doc_id", data_type=wc.DataType.TEXT))
if "chunk_index" not in existing:
to_add.append(wc.Property(name="chunk_index", data_type=wc.DataType.INT))
for prop in to_add:
try:
col.config.add_property(prop)
except Exception as e:
logger.warning("Could not add property %s: %s", prop.name, e)
def _get_uuids(self, documents: list[Document]) -> list[str]:
"""
Generates deterministic UUIDs for documents based on their content.
Uses UUID5 with URL namespace to ensure consistent IDs for identical content.
"""
URL_NAMESPACE = _uuid.UUID("6ba7b811-9dad-11d1-80b4-00c04fd430c8")
uuids = []
for doc in documents:
uuid_val = _uuid.uuid5(URL_NAMESPACE, doc.page_content)
uuids.append(str(uuid_val))
return uuids
def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
"""
Adds documents with their embeddings to the collection.
Batches insertions for efficiency and returns the list of inserted object IDs.
"""
uuids = self._get_uuids(documents)
texts = [d.page_content for d in documents]
metadatas = [d.metadata for d in documents]
col = self._client.collections.use(self._collection_name)
objs: list[DataObject] = []
ids_out: list[str] = []
for i, text in enumerate(texts):
props: dict[str, Any] = {Field.TEXT_KEY.value: text}
meta = metadatas[i] or {}
for k, v in meta.items():
props[k] = self._json_serializable(v)
candidate = uuids[i] if uuids else None
uid = candidate if (candidate and self._is_uuid(candidate)) else str(_uuid.uuid4())
ids_out.append(uid)
vec_payload = None
if embeddings and i < len(embeddings) and embeddings[i]:
vec_payload = {"default": embeddings[i]}
objs.append(
DataObject(
uuid=uid,
properties=props, # type: ignore[arg-type] # mypy incorrectly infers DataObject signature
vector=vec_payload,
)
)
with col.batch.dynamic() as batch:
for obj in objs:
batch.add_object(properties=obj.properties, uuid=obj.uuid, vector=obj.vector)
return ids_out
def _is_uuid(self, val: str) -> bool:
"""Validates whether a string is a valid UUID format."""
try:
_uuid.UUID(str(val))
return True
except Exception:
return False
def delete_by_metadata_field(self, key: str, value: str) -> None:
"""Deletes all objects matching a specific metadata field value."""
if not self._client.collections.exists(self._collection_name):
return
col = self._client.collections.use(self._collection_name)
col.data.delete_many(where=Filter.by_property(key).equal(value))
def delete(self):
"""Deletes the entire collection from Weaviate."""
if self._client.collections.exists(self._collection_name):
self._client.collections.delete(self._collection_name)
def text_exists(self, id: str) -> bool:
"""Checks if a document with the given doc_id exists in the collection."""
if not self._client.collections.exists(self._collection_name):
return False
col = self._client.collections.use(self._collection_name)
res = col.query.fetch_objects(
filters=Filter.by_property("doc_id").equal(id),
limit=1,
return_properties=["doc_id"],
)
return len(res.objects) > 0
def delete_by_ids(self, ids: list[str]) -> None:
"""
Deletes objects by their UUID identifiers.
Silently ignores 404 errors for non-existent IDs.
"""
if not self._client.collections.exists(self._collection_name):
return
col = self._client.collections.use(self._collection_name)
for uid in ids:
try:
col.data.delete_by_id(uid)
except UnexpectedStatusCodeError as e:
if getattr(e, "status_code", None) != 404:
raise
def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
"""
Performs vector similarity search using the provided query vector.
Filters by document IDs if provided and applies score threshold.
Returns documents sorted by relevance score.
"""
if not self._client.collections.exists(self._collection_name):
return []
col = self._client.collections.use(self._collection_name)
props = list({*self._attributes, self._DOCUMENT_ID_PROPERTY, Field.TEXT_KEY.value})
where = None
doc_ids = kwargs.get("document_ids_filter") or []
if doc_ids:
where = Filter.by_property(self._DOCUMENT_ID_PROPERTY).contains_any(doc_ids)
top_k = int(kwargs.get("top_k", 4))
score_threshold = float(kwargs.get("score_threshold") or 0.0)
res = col.query.near_vector(
near_vector=query_vector,
limit=top_k,
return_properties=props,
return_metadata=MetadataQuery(distance=True),
include_vector=False,
filters=where,
target_vector="default",
)
docs: list[Document] = []
for obj in res.objects:
properties = dict(obj.properties or {})
text = properties.pop(Field.TEXT_KEY.value, "")
if obj.metadata and obj.metadata.distance is not None:
distance = obj.metadata.distance
else:
distance = 1.0
score = 1.0 - distance
if score > score_threshold:
properties["score"] = score
docs.append(Document(page_content=text, metadata=properties))
docs.sort(key=lambda d: d.metadata.get("score", 0.0), reverse=True)
return docs
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
"""
Performs BM25 full-text search on document content.
Filters by document IDs if provided and returns matching documents with vectors.
"""
if not self._client.collections.exists(self._collection_name):
return []
col = self._client.collections.use(self._collection_name)
props = list({*self._attributes, Field.TEXT_KEY.value})
where = None
doc_ids = kwargs.get("document_ids_filter") or []
if doc_ids:
where = Filter.by_property(self._DOCUMENT_ID_PROPERTY).contains_any(doc_ids)
top_k = int(kwargs.get("top_k", 4))
res = col.query.bm25(
query=query,
query_properties=[Field.TEXT_KEY.value],
limit=top_k,
return_properties=props,
include_vector=True,
filters=where,
)
docs: list[Document] = []
for obj in res.objects:
properties = dict(obj.properties or {})
text = properties.pop(Field.TEXT_KEY.value, "")
vec = obj.vector
if isinstance(vec, dict):
vec = vec.get("default") or next(iter(vec.values()), None)
docs.append(Document(page_content=text, vector=vec, metadata=properties))
return docs
def _json_serializable(self, value: Any) -> Any:
"""Converts values to JSON-serializable format, handling datetime objects."""
if isinstance(value, datetime.datetime):
return value.isoformat()
return value
class WeaviateVectorFactory(AbstractVectorFactory):
"""Factory class for creating WeaviateVector instances."""
def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> WeaviateVector:
"""
Initializes a WeaviateVector instance for the given dataset.
Uses existing collection name from dataset index structure or generates a new one.
Updates dataset index structure if not already set.
"""
if dataset.index_struct_dict:
class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
collection_name = class_prefix
else:
dataset_id = dataset.id
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.WEAVIATE, collection_name))
return WeaviateVector(
collection_name=collection_name,
config=WeaviateConfig(
endpoint=dify_config.WEAVIATE_ENDPOINT or "",
grpc_endpoint=dify_config.WEAVIATE_GRPC_ENDPOINT or "",
api_key=dify_config.WEAVIATE_API_KEY,
batch_size=dify_config.WEAVIATE_BATCH_SIZE,
),
attributes=attributes,
)
+9
View File
@@ -1,5 +1,6 @@
import contextlib
import json
import logging
from collections.abc import Generator, Iterable
from copy import deepcopy
from datetime import UTC, datetime
@@ -36,6 +37,8 @@ from extensions.ext_database import db
from models.enums import CreatorUserRole
from models.model import Message, MessageFile
logger = logging.getLogger(__name__)
class ToolEngine:
"""
@@ -123,25 +126,31 @@ class ToolEngine:
# transform tool invoke message to get LLM friendly message
return plain_text, message_files, meta
except ToolProviderCredentialValidationError as e:
logger.error(e, exc_info=True)
error_response = "Please check your tool provider credentials"
agent_tool_callback.on_tool_error(e)
except (ToolNotFoundError, ToolNotSupportedError, ToolProviderNotFoundError) as e:
error_response = f"there is not a tool named {tool.entity.identity.name}"
logger.error(e, exc_info=True)
agent_tool_callback.on_tool_error(e)
except ToolParameterValidationError as e:
error_response = f"tool parameters validation error: {e}, please check your tool parameters"
agent_tool_callback.on_tool_error(e)
logger.error(e, exc_info=True)
except ToolInvokeError as e:
error_response = f"tool invoke error: {e}"
agent_tool_callback.on_tool_error(e)
logger.error(e, exc_info=True)
except ToolEngineInvokeError as e:
meta = e.meta
error_response = f"tool invoke error: {meta.error}"
agent_tool_callback.on_tool_error(e)
logger.error(e, exc_info=True)
return error_response, [], meta
except Exception as e:
error_response = f"unknown error: {e}"
agent_tool_callback.on_tool_error(e)
logger.error(e, exc_info=True)
return error_response, [], ToolInvokeMeta.error_instance(error_response)
+1 -16
View File
@@ -21,7 +21,6 @@ from core.tools.entities.tool_entities import (
)
from core.tools.errors import ToolInvokeError
from factories.file_factory import build_from_mapping
from libs.login import current_user
from models import Account, Tenant
from models.model import App, EndUser
from models.workflow import Workflow
@@ -209,21 +208,7 @@ class WorkflowTool(Tool):
Returns:
Account | EndUser | None: The resolved user object, or None if resolution fails.
"""
if has_request_context():
return self._resolve_user_from_request()
else:
return self._resolve_user_from_database(user_id=user_id)
def _resolve_user_from_request(self) -> Account | EndUser | None:
"""
Resolve user from Flask request context.
"""
try:
# Note: `current_user` is a LocalProxy. Never compare it with None directly.
return getattr(current_user, "_get_current_object", lambda: current_user)()
except Exception as e:
logger.warning("Failed to resolve user from request context: %s", e)
return None
return self._resolve_user_from_database(user_id=user_id)
def _resolve_user_from_database(self, user_id: str) -> Account | EndUser | None:
"""
-2
View File
@@ -30,7 +30,6 @@ from .variables import (
SecretVariable,
StringVariable,
Variable,
VariableBase,
)
__all__ = [
@@ -63,5 +62,4 @@ __all__ = [
"StringSegment",
"StringVariable",
"Variable",
"VariableBase",
]
+1 -1
View File
@@ -232,7 +232,7 @@ def get_segment_discriminator(v: Any) -> SegmentType | None:
# - All variants in `SegmentUnion` must inherit from the `Segment` class.
# - The union must include all non-abstract subclasses of `Segment`, except:
# - `SegmentGroup`, which is not added to the variable pool.
# - `VariableBase` and its subclasses, which are handled by `Variable`.
# - `Variable` and its subclasses, which are handled by `VariableUnion`.
SegmentUnion: TypeAlias = Annotated[
(
Annotated[NoneSegment, Tag(SegmentType.NONE)]
+14 -14
View File
@@ -27,7 +27,7 @@ from .segments import (
from .types import SegmentType
class VariableBase(Segment):
class Variable(Segment):
"""
A variable is a segment that has a name.
@@ -45,23 +45,23 @@ class VariableBase(Segment):
selector: Sequence[str] = Field(default_factory=list)
class StringVariable(StringSegment, VariableBase):
class StringVariable(StringSegment, Variable):
pass
class FloatVariable(FloatSegment, VariableBase):
class FloatVariable(FloatSegment, Variable):
pass
class IntegerVariable(IntegerSegment, VariableBase):
class IntegerVariable(IntegerSegment, Variable):
pass
class ObjectVariable(ObjectSegment, VariableBase):
class ObjectVariable(ObjectSegment, Variable):
pass
class ArrayVariable(ArraySegment, VariableBase):
class ArrayVariable(ArraySegment, Variable):
pass
@@ -89,16 +89,16 @@ class SecretVariable(StringVariable):
return encrypter.obfuscated_token(self.value)
class NoneVariable(NoneSegment, VariableBase):
class NoneVariable(NoneSegment, Variable):
value_type: SegmentType = SegmentType.NONE
value: None = None
class FileVariable(FileSegment, VariableBase):
class FileVariable(FileSegment, Variable):
pass
class BooleanVariable(BooleanSegment, VariableBase):
class BooleanVariable(BooleanSegment, Variable):
pass
@@ -139,13 +139,13 @@ class RAGPipelineVariableInput(BaseModel):
value: Any
# The `Variable` type is used to enable serialization and deserialization with Pydantic.
# Use `VariableBase` for type hinting when serialization is not required.
# The `VariableUnion`` type is used to enable serialization and deserialization with Pydantic.
# Use `Variable` for type hinting when serialization is not required.
#
# Note:
# - All variants in `Variable` must inherit from the `VariableBase` class.
# - The union must include all non-abstract subclasses of `VariableBase`.
Variable: TypeAlias = Annotated[
# - All variants in `VariableUnion` must inherit from the `Variable` class.
# - The union must include all non-abstract subclasses of `Segment`, except:
VariableUnion: TypeAlias = Annotated[
(
Annotated[NoneVariable, Tag(SegmentType.NONE)]
| Annotated[StringVariable, Tag(SegmentType.STRING)]
@@ -1,7 +1,7 @@
import abc
from typing import Protocol
from core.variables import VariableBase
from core.variables import Variable
class ConversationVariableUpdater(Protocol):
@@ -20,12 +20,12 @@ class ConversationVariableUpdater(Protocol):
"""
@abc.abstractmethod
def update(self, conversation_id: str, variable: "VariableBase"):
def update(self, conversation_id: str, variable: "Variable"):
"""
Updates the value of the specified conversation variable in the underlying storage.
:param conversation_id: The ID of the conversation to update. Typically references `ConversationVariable.id`.
:param variable: The `VariableBase` instance containing the updated value.
:param variable: The `Variable` instance containing the updated value.
"""
pass

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