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šŸ“text•3 hours ago

Narrative Control Prompt: Exhaustive System Architecture & Feature Reverse-Engineering

Narrative Control Prompt: Exhaustive System Architecture & Feature Reverse-Engineering User centric prompting for analyzing inspiration pages or instructing on internal analysis cycles

architecture
⭐1
# Narrative Control Prompt: Exhaustive System Architecture & Feature Reverse-Engineering You are an **Expert Enterprise Architect, Product Director, and Lead Engineer**. Your goal is to thoroughly analyze the provided documentation to architect a full-scale, competitive enterprise application. You must deconstruct the feature described in the content into **extensive, granular technical specifications** across multiple engineering disciplines. **CRITICAL INSTRUCTIONS**: - **DO NOT SUMMARIZE**. Be exhaustive. - For every category below, aim to list **10+ specific items** if possible. - Brainstorm every possible implication, edge case, and requirement derived from or inspired by the text. - If the text mentions a "search" feature, break it down into: Indexing, Query Parsing, UI Widgets, Highlighting, Filtering, Sort Logic, Caching, etc. Please output the analysis in the following Markdown format: # 1. Product Strategy & Scope * **Feature Name**: * **Core Value Proposition**: [Deep dive into why this exists] * **User Personas**: [List as many as applicable: e.g. Admin, Power User, Viewer, Auditor, API Consumer...] * **User Stories**: [Extensive list of 10+ granular user stories e.g. "As a User, I want to..."] * **Competitive Differentiators**: [What makes this specific implementation valuable?] # 2. Design & User Experience (UX/UI) * **Key Interface Components**: [List 10+ atoms/molecules: e.g. Data Grid, Filter Chips, Modals, Tooltips, Empty States, Toasts, Dropdowns...] * **Interaction Patterns**: [List 10+ patterns: e.g. Drag-and-drop, Double-click to edit, Hover states, Keyboard shortcuts, Infinite scroll...] * **Visual States**: [List all states: Loading, Success, Error, Warning, Partial Data, Offline...] * **Accessibility (a11y)**: [List 10+ checks: Contrast, ARIA labels, Focus management, Screen reader support, Resizing...] # 3. Frontend Engineering * **State Management**: [List 10+ state atoms: Upload progress %, Selected ID list, Sort order, Filter criteria, Current user permissions...] * **API Interactions**: [List 10+ potential endpoints: GET/POST/PUT/DELETE for main entities, Lookups, Search, Validation...] * **Component Architecture**: [List 10+ React/Vue components: Container, Presentation, Utility wrappers, HoC...] * **Client-Side Logic**: [Validation rules, Formatting (Dates/Currency), Debouncing, Caching...] # 4. Backend Engineering * **Data Models**: [List 10+ fields/entities: Table structure, Foreign keys, Indexes, JSONB fields, Audit columns...] * **API Specification**: [Detailed endpoint contract: Header requirements, Query params, Body schema, Error codes...] * **Business Logic**: [List 10+ rules: Permission checks, Data transformation, Workflows, Triggers, Notifications...] * **Security & Permissions**: [List 10+ checks: RBAC roles, Field-level security, API Rate limiting, CSRF protection...] # 5. Infrastructure & DevOps * **Storage Requirements**: [S3 buckets, Database types (SQL/NoSQL), Redis for cache, CDNs...] * **Compute Needs**: [Async workers, Scheduled cron jobs, Serverless functions, Container specs...] * **Background Jobs**: [List 10+ potential jobs: Email sending, File conversion, Indexing, Cleanup, Analytics aggregation...] * **Observability**: [Metrics to track: API latency, Error rates, Disk usage, Active users...] # 6. Quality Assurance (QA) * **Test Scenarios**: [List 10+ happy path scenarios] * **Edge Cases**: [List 10+ negative/edge cases: Network fail, Giant files, Concurrent edits, Invalid chars...] * **Performance Metrics**: [Specific SLAs: <200ms API, <1s Page load, 99.9% Uptime...] * **Security Testing**: [Pen-test vectors: XSS injection input, SQL injection, IDOR...] # 7. Documentation & Onboarding * **User Guides Needed**: [List 10+ articles to write based on this feature] * **Contextual Help**: [List 10+ places for Tooltips, Tours, Helper text...] * **API Documentation**: [Swagger/OpenAPI requirements] # 8. Implementation Roadmap * **Phase 1 (MVP)**: [List 10+ must-have tasks] * **Phase 2 (Enhanced)**: [List 10+ nice-to-have features] * **Phase 3 (Scale)**: [Optimization and enterprise hardening] --- **Context**: The content below is raw markdown from a help guide.
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šŸ“text•3 hours ago

Narrative Control Prompt Exhaustive System Architecture & Feature Reverse-Engineering

Narrative Control Prompt: Exhaustive System Architecture & Feature Reverse-Engineering User concentric prompting for analyzing inspiration pages or instructing on internal analysis cycles

architecture
⭐1
# Narrative Control Prompt: Exhaustive System Architecture & Feature Reverse-Engineering You are an **Expert Enterprise Architect, Product Director, and Lead Engineer**. Your goal is to thoroughly analyze the provided documentation to architect a full-scale, competitive enterprise application. You must deconstruct the feature described in the content into **extensive, granular technical specifications** across multiple engineering disciplines. **CRITICAL INSTRUCTIONS**: - **DO NOT SUMMARIZE**. Be exhaustive. - For every category below, aim to list **10+ specific items** if possible. - Brainstorm every possible implication, edge case, and requirement derived from or inspired by the text. - If the text mentions a "search" feature, break it down into: Indexing, Query Parsing, UI Widgets, Highlighting, Filtering, Sort Logic, Caching, etc. Please output the analysis in the following Markdown format: # 1. Product Strategy & Scope * **Feature Name**: * **Core Value Proposition**: [Deep dive into why this exists] * **User Personas**: [List as many as applicable: e.g. Admin, Power User, Viewer, Auditor, API Consumer...] * **User Stories**: [Extensive list of 10+ granular user stories e.g. "As a User, I want to..."] * **Competitive Differentiators**: [What makes this specific implementation valuable?] # 2. Design & User Experience (UX/UI) * **Key Interface Components**: [List 10+ atoms/molecules: e.g. Data Grid, Filter Chips, Modals, Tooltips, Empty States, Toasts, Dropdowns...] * **Interaction Patterns**: [List 10+ patterns: e.g. Drag-and-drop, Double-click to edit, Hover states, Keyboard shortcuts, Infinite scroll...] * **Visual States**: [List all states: Loading, Success, Error, Warning, Partial Data, Offline...] * **Accessibility (a11y)**: [List 10+ checks: Contrast, ARIA labels, Focus management, Screen reader support, Resizing...] # 3. Frontend Engineering * **State Management**: [List 10+ state atoms: Upload progress %, Selected ID list, Sort order, Filter criteria, Current user permissions...] * **API Interactions**: [List 10+ potential endpoints: GET/POST/PUT/DELETE for main entities, Lookups, Search, Validation...] * **Component Architecture**: [List 10+ React/Vue components: Container, Presentation, Utility wrappers, HoC...] * **Client-Side Logic**: [Validation rules, Formatting (Dates/Currency), Debouncing, Caching...] # 4. Backend Engineering * **Data Models**: [List 10+ fields/entities: Table structure, Foreign keys, Indexes, JSONB fields, Audit columns...] * **API Specification**: [Detailed endpoint contract: Header requirements, Query params, Body schema, Error codes...] * **Business Logic**: [List 10+ rules: Permission checks, Data transformation, Workflows, Triggers, Notifications...] * **Security & Permissions**: [List 10+ checks: RBAC roles, Field-level security, API Rate limiting, CSRF protection...] # 5. Infrastructure & DevOps * **Storage Requirements**: [S3 buckets, Database types (SQL/NoSQL), Redis for cache, CDNs...] * **Compute Needs**: [Async workers, Scheduled cron jobs, Serverless functions, Container specs...] * **Background Jobs**: [List 10+ potential jobs: Email sending, File conversion, Indexing, Cleanup, Analytics aggregation...] * **Observability**: [Metrics to track: API latency, Error rates, Disk usage, Active users...] # 6. Quality Assurance (QA) * **Test Scenarios**: [List 10+ happy path scenarios] * **Edge Cases**: [List 10+ negative/edge cases: Network fail, Giant files, Concurrent edits, Invalid chars...] * **Performance Metrics**: [Specific SLAs: <200ms API, <1s Page load, 99.9% Uptime...] * **Security Testing**: [Pen-test vectors: XSS injection input, SQL injection, IDOR...] # 7. Documentation & Onboarding * **User Guides Needed**: [List 10+ articles to write based on this feature] * **Contextual Help**: [List 10+ places for Tooltips, Tours, Helper text...] * **API Documentation**: [Swagger/OpenAPI requirements] # 8. Implementation Roadmap * **Phase 1 (MVP)**: [List 10+ must-have tasks] * **Phase 2 (Enhanced)**: [List 10+ nice-to-have features] * **Phase 3 (Scale)**: [Optimization and enterprise hardening] --- **Context**: The content below is raw markdown from a help guide.
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šŸ¤–system prompt•7 months ago

architecture-patterns

Implement proven backend architecture patterns including Clean

coding
⭐1
# Architecture Patterns Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems. ## When to Use This Skill - Designing new backend systems from scratch - Refactoring monolithic applications for better maintainability - Establishing architecture standards for your team - Migrating from tightly coupled to loosely coupled architectures - Implementing domain-driven design principles - Creating testable and mockable codebases - Planning microservices decomposition ## Core Concepts ### 1. Clean Architecture (Uncle Bob) **Layers (dependency flows inward):** - **Entities**: Core business models - **Use Cases**: Application business rules - **Interface Adapters**: Controllers, presenters, gateways - **Frameworks & Drivers**: UI, database, external services **Key Principles:** - Dependencies point inward - Inner layers know nothing about outer layers - Business logic independent of frameworks - Testable without UI, database, or external services ### 2. Hexagonal Architecture (Ports and Adapters) **Components:** - **Domain Core**: Business logic - **Ports**: Interfaces defining interactions - **Adapters**: Implementations of ports (database, REST, message queue) **Benefits:** - Swap implementations easily (mock for testing) - Technology-agnostic core - Clear separation of concerns ### 3. Domain-Driven Design (DDD) **Strategic Patterns:** - **Bounded Contexts**: Separate models for different domains - **Context Mapping**: How contexts relate - **Ubiquitous Language**: Shared terminology **Tactical Patterns:** - **Entities**: Objects with identity - **Value Objects**: Immutable objects defined by attributes - **Aggregates**: Consistency boundaries - **Repositories**: Data access abstraction - **Domain Events**: Things that happened ## Clean Architecture Pattern ### Directory Structure ``` app/ ā”œā”€ā”€ domain/ # Entities & business rules │ ā”œā”€ā”€ entities/ │ │ ā”œā”€ā”€ user.py │ │ └── order.py │ ā”œā”€ā”€ value_objects/ │ │ ā”œā”€ā”€ email.py │ │ └── money.py │ └── interfaces/ # Abstract interfaces │ ā”œā”€ā”€ user_repository.py │ └── payment_gateway.py ā”œā”€ā”€ use_cases/ # Application business rules │ ā”œā”€ā”€ create_user.py │ ā”œā”€ā”€ process_order.py │ └── send_notification.py ā”œā”€ā”€ adapters/ # Interface implementations │ ā”œā”€ā”€ repositories/ │ │ ā”œā”€ā”€ postgres_user_repository.py │ │ └── redis_cache_repository.py │ ā”œā”€ā”€ controllers/ │ │ └── user_controller.py │ └── gateways/ │ ā”œā”€ā”€ stripe_payment_gateway.py │ └── sendgrid_email_gateway.py └── infrastructure/ # Framework & external concerns ā”œā”€ā”€ database.py ā”œā”€ā”€ config.py └── logging.py ``` ### Implementation Example ```python # domain/entities/user.py from dataclasses import dataclass from datetime import datetime from typing import Optional @dataclass class User: """Core user entity - no framework dependencies.""" id: str email: str name: str created_at: datetime is_active: bool = True def deactivate(self): """Business rule: deactivating user.""" self.is_active = False def can_place_order(self) -> bool: """Business rule: active users can order.""" return self.is_active # domain/interfaces/user_repository.py from abc import ABC, abstractmethod from typing import Optional, List from domain.entities.user import User class IUserRepository(ABC): """Port: defines contract, no implementation.""" @abstractmethod async def find_by_id(self, user_id: str) -> Optional[User]: pass @abstractmethod async def find_by_email(self, email: str) -> Optional[User]: pass @abstractmethod async def save(self, user: User) -> User: pass @abstractmethod async def delete(self, user_id: str) -> bool: pass # use_cases/create_user.py from domain.entities.user import User from domain.interfaces.user_repository import IUserRepository from dataclasses import dataclass from datetime import datetime import uuid @dataclass class CreateUserRequest: email: str name: str @dataclass class CreateUserResponse: user: User success: bool error: Optional[str] = None class CreateUserUseCase: """Use case: orchestrates business logic.""" def __init__(self, user_repository: IUserRepository): self.user_repository = user_repository async def execute(self, request: CreateUserRequest) -> CreateUserResponse: # Business validation existing = await self.user_repository.find_by_email(request.email) if existing: return CreateUserResponse( user=None, success=False, error="Email already exists" ) # Create entity user = User( id=str(uuid.uuid4()), email=request.email, name=request.name, created_at=datetime.now(), is_active=True ) # Persist saved_user = await self.user_repository.save(user) return CreateUserResponse( user=saved_user, success=True ) # adapters/repositories/postgres_user_repository.py from domain.interfaces.user_repository import IUserRepository from domain.entities.user import User from typing import Optional import asyncpg class PostgresUserRepository(IUserRepository): """Adapter: PostgreSQL implementation.""" def __init__(self, pool: asyncpg.Pool): self.pool = pool async def find_by_id(self, user_id: str) -> Optional[User]: async with self.pool.acquire() as conn: row = await conn.fetchrow( "SELECT * FROM users WHERE id = $1", user_id ) return self._to_entity(row) if row else None async def find_by_email(self, email: str) -> Optional[User]: async with self.pool.acquire() as conn: row = await conn.fetchrow( "SELECT * FROM users WHERE email = $1", email ) return self._to_entity(row) if row else None async def save(self, user: User) -> User: async with self.pool.acquire() as conn: await conn.execute( """ INSERT INTO users (id, email, name, created_at, is_active) VALUES ($1, $2, $3, $4, $5) ON CONFLICT (id) DO UPDATE SET email = $2, name = $3, is_active = $5 """, user.id, user.email, user.name, user.created_at, user.is_active ) return user async def delete(self, user_id: str) -> bool: async with self.pool.acquire() as conn: result = await conn.execute( "DELETE FROM users WHERE id = $1", user_id ) return result == "DELETE 1" def _to_entity(self, row) -> User: """Map database row to entity.""" return User( id=row["id"], email=row["email"], name=row["name"], created_at=row["created_at"], is_active=row["is_active"] ) # adapters/controllers/user_controller.py from fastapi import APIRouter, Depends, HTTPException from use_cases.create_user import CreateUserUseCase, CreateUserRequest from pydantic import BaseModel router = APIRouter() class CreateUserDTO(BaseModel): email: str name: str @router.post("/users") async def create_user( dto: CreateUserDTO, use_case: CreateUserUseCase = Depends(get_create_user_use_case) ): """Controller: handles HTTP concerns only.""" request = CreateUserRequest(email=dto.email, name=dto.name) response = await use_case.execute(request) if not response.success: raise HTTPException(status_code=400, detail=response.error) return {"user": response.user} ``` ## Hexagonal Architecture Pattern ```python # Core domain (hexagon center) class OrderService: """Domain service - no infrastructure dependencies.""" def __init__( self, order_repository: OrderRepositoryPort, payment_gateway: PaymentGatewayPort, notification_service: NotificationPort ): self.orders = order_repository self.payments = payment_gateway self.notifications = notification_service async def place_order(self, order: Order) -> OrderResult: # Business logic if not order.is_valid(): return OrderResult(success=False, error="Invalid order") # Use ports (interfaces) payment = await self.payments.charge( amount=order.total, customer=order.customer_id ) if not payment.success: return OrderResult(success=False, error="Payment failed") order.mark_as_paid() saved_order = await self.orders.save(order) await self.notifications.send( to=order.customer_email, subject="Order confirmed", body=f"Order {order.id} confirmed" ) return OrderResult(success=True, order=saved_order) # Ports (interfaces) class OrderRepositoryPort(ABC): @abstractmethod async def save(self, order: Order) -> Order: pass class PaymentGatewayPort(ABC): @abstractmethod async def charge(self, amount: Money, customer: str) -> PaymentResult: pass class NotificationPort(ABC): @abstractmethod async def send(self, to: str, subject: str, body: str): pass # Adapters (implementations) class StripePaymentAdapter(PaymentGatewayPort): """Primary adapter: connects to Stripe API.""" def __init__(self, api_key: str): self.stripe = stripe self.stripe.api_key = api_key async def charge(self, amount: Money, customer: str) -> PaymentResult: try: charge = self.stripe.Charge.create( amount=amount.cents, currency=amount.currency, customer=customer ) return PaymentResult(success=True, transaction_id=charge.id) except stripe.error.CardError as e: return PaymentResult(success=False, error=str(e)) class MockPaymentAdapter(PaymentGatewayPort): """Test adapter: no external dependencies.""" async def charge(self, amount: Money, customer: str) -> PaymentResult: return PaymentResult(success=True, transaction_id="mock-123") ``` ## Domain-Driven Design Pattern ```python # Value Objects (immutable) from dataclasses import dataclass from typing import Optional @dataclass(frozen=True) class Email: """Value object: validated email.""" value: str def __post_init__(self): if "@" not in self.value: raise ValueError("Invalid email") @dataclass(frozen=True) class Money: """Value object: amount with currency.""" amount: int # cents currency: str def add(self, other: "Money") -> "Money": if self.currency != other.currency: raise ValueError("Currency mismatch") return Money(self.amount + other.amount, self.currency) # Entities (with identity) class Order: """Entity: has identity, mutable state.""" def __init__(self, id: str, customer: Customer): self.id = id self.customer = customer self.items: List[OrderItem] = [] self.status = OrderStatus.PENDING self._events: List[DomainEvent] = [] def add_item(self, product: Product, quantity: int): """Business logic in entity.""" item = OrderItem(product, quantity) self.items.append(item) self._events.append(ItemAddedEvent(self.id, item)) def total(self) -> Money: """Calculated property.""" return sum(item.subtotal() for item in self.items) def submit(self): """State transition with business rules.""" if not self.items: raise ValueError("Cannot submit empty order") if self.status != OrderStatus.PENDING: raise ValueError("Order already submitted") self.status = OrderStatus.SUBMITTED self._events.append(OrderSubmittedEvent(self.id)) # Aggregates (consistency boundary) class Customer: """Aggregate root: controls access to entities.""" def __init__(self, id: str, email: Email): self.id = id self.email = email self._addresses: List[Address] = [] self._orders: List[str] = [] # Order IDs, not full objects def add_address(self, address: Address): """Aggregate enforces invariants.""" if len(self._addresses) >= 5: raise ValueError("Maximum 5 addresses allowed") self._addresses.append(address) @property def primary_address(self) -> Optional[Address]: return next((a for a in self._addresses if a.is_primary), None) # Domain Events @dataclass class OrderSubmittedEvent: order_id: str occurred_at: datetime = field(default_factory=datetime.now) # Repository (aggregate persistence) class OrderRepository: """Repository: persist/retrieve aggregates.""" async def find_by_id(self, order_id: str) -> Optional[Order]: """Reconstitute aggregate from storage.""" pass async def save(self, order: Order): """Persist aggregate and publish events.""" await self._persist(order) await self._publish_events(order._events) order._events.clear() ``` ## Resources - **references/clean-architecture-guide.md**: Detailed layer breakdown - **references/hexagonal-architecture-guide.md**: Ports and adapters patterns - **references/ddd-tactical-patterns.md**: Entities, value objects, aggregates - **assets/clean-architecture-template/**: Complete project structure - **assets/ddd-examples/**: Domain modeling examples ## Best Practices 1. **Dependency Rule**: Dependencies always point inward 2. **Interface Segregation**: Small, focused interfaces 3. **Business Logic in Domain**: Keep frameworks out of core 4. **Test Independence**: Core testable without infrastructure 5. **Bounded Contexts**: Clear domain boundaries 6. **Ubiquitous Language**: Consistent terminology 7. **Thin Controllers**: Delegate to use cases 8. **Rich Domain Models**: Behavior with data ## Common Pitfalls - **Anemic Domain**: Entities with only data, no behavior - **Framework Coupling**: Business logic depends on frameworks - **Fat Controllers**: Business logic in controllers - **Repository Leakage**: Exposing ORM objects - **Missing Abstractions**: Concrete dependencies in core - **Over-Engineering**: Clean architecture for simple CRUD
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

event-store-design

Design and implement event stores for event-sourced systems. Use

coding
⭐1
# Event Store Design Comprehensive guide to designing event stores for event-sourced applications. ## When to Use This Skill - Designing event sourcing infrastructure - Choosing between event store technologies - Implementing custom event stores - Optimizing event storage and retrieval - Setting up event store schemas - Planning for event store scaling ## Core Concepts ### 1. Event Store Architecture ``` ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Event Store │ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ │ │ Stream 1 │ │ Stream 2 │ │ Stream 3 │ │ │ │ (Aggregate) │ │ (Aggregate) │ │ (Aggregate) │ │ │ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ │ │ Event 1 │ │ Event 1 │ │ Event 1 │ │ │ │ Event 2 │ │ Event 2 │ │ Event 2 │ │ │ │ Event 3 │ │ ... │ │ Event 3 │ │ │ │ ... │ │ │ │ Event 4 │ │ │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ ā”œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”¤ │ Global Position: 1 → 2 → 3 → 4 → 5 → 6 → ... │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ``` ### 2. Event Store Requirements | Requirement | Description | | ----------------- | ---------------------------------- | | **Append-only** | Events are immutable, only appends | | **Ordered** | Per-stream and global ordering | | **Versioned** | Optimistic concurrency control | | **Subscriptions** | Real-time event notifications | | **Idempotent** | Handle duplicate writes safely | ## Technology Comparison | Technology | Best For | Limitations | | ---------------- | ------------------------- | -------------------------------- | | **EventStoreDB** | Pure event sourcing | Single-purpose | | **PostgreSQL** | Existing Postgres stack | Manual implementation | | **Kafka** | High-throughput streaming | Not ideal for per-stream queries | | **DynamoDB** | Serverless, AWS-native | Query limitations | | **Marten** | .NET ecosystems | .NET specific | ## Templates ### Template 1: PostgreSQL Event Store Schema ```sql -- Events table CREATE TABLE events ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), stream_id VARCHAR(255) NOT NULL, stream_type VARCHAR(255) NOT NULL, event_type VARCHAR(255) NOT NULL, event_data JSONB NOT NULL, metadata JSONB DEFAULT '{}', version BIGINT NOT NULL, global_position BIGSERIAL, created_at TIMESTAMPTZ DEFAULT NOW(), CONSTRAINT unique_stream_version UNIQUE (stream_id, version) ); -- Index for stream queries CREATE INDEX idx_events_stream_id ON events(stream_id, version); -- Index for global subscription CREATE INDEX idx_events_global_position ON events(global_position); -- Index for event type queries CREATE INDEX idx_events_event_type ON events(event_type); -- Index for time-based queries CREATE INDEX idx_events_created_at ON events(created_at); -- Snapshots table CREATE TABLE snapshots ( stream_id VARCHAR(255) PRIMARY KEY, stream_type VARCHAR(255) NOT NULL, snapshot_data JSONB NOT NULL, version BIGINT NOT NULL, created_at TIMESTAMPTZ DEFAULT NOW() ); -- Subscriptions checkpoint table CREATE TABLE subscription_checkpoints ( subscription_id VARCHAR(255) PRIMARY KEY, last_position BIGINT NOT NULL DEFAULT 0, updated_at TIMESTAMPTZ DEFAULT NOW() ); ``` ### Template 2: Python Event Store Implementation ```python from dataclasses import dataclass, field from datetime import datetime from typing import Any, Optional, List from uuid import UUID, uuid4 import json import asyncpg @dataclass class Event: stream_id: str event_type: str data: dict metadata: dict = field(default_factory=dict) event_id: UUID = field(default_factory=uuid4) version: Optional[int] = None global_position: Optional[int] = None created_at: datetime = field(default_factory=datetime.utcnow) class EventStore: def __init__(self, pool: asyncpg.Pool): self.pool = pool async def append_events( self, stream_id: str, stream_type: str, events: List[Event], expected_version: Optional[int] = None ) -> List[Event]: """Append events to a stream with optimistic concurrency.""" async with self.pool.acquire() as conn: async with conn.transaction(): # Check expected version if expected_version is not None: current = await conn.fetchval( "SELECT MAX(version) FROM events WHERE stream_id = $1", stream_id ) current = current or 0 if current != expected_version: raise ConcurrencyError( f"Expected version {expected_version}, got {current}" ) # Get starting version start_version = await conn.fetchval( "SELECT COALESCE(MAX(version), 0) + 1 FROM events WHERE stream_id = $1", stream_id ) # Insert events saved_events = [] for i, event in enumerate(events): event.version = start_version + i row = await conn.fetchrow( """ INSERT INTO events (id, stream_id, stream_type, event_type, event_data, metadata, version, created_at) VALUES ($1, $2, $3, $4, $5, $6, $7, $8) RETURNING global_position """, event.event_id, stream_id, stream_type, event.event_type, json.dumps(event.data), json.dumps(event.metadata), event.version, event.created_at ) event.global_position = row['global_position'] saved_events.append(event) return saved_events async def read_stream( self, stream_id: str, from_version: int = 0, limit: int = 1000 ) -> List[Event]: """Read events from a stream.""" async with self.pool.acquire() as conn: rows = await conn.fetch( """ SELECT id, stream_id, event_type, event_data, metadata, version, global_position, created_at FROM events WHERE stream_id = $1 AND version >= $2 ORDER BY version LIMIT $3 """, stream_id, from_version, limit ) return [self._row_to_event(row) for row in rows] async def read_all( self, from_position: int = 0, limit: int = 1000 ) -> List[Event]: """Read all events globally.""" async with self.pool.acquire() as conn: rows = await conn.fetch( """ SELECT id, stream_id, event_type, event_data, metadata, version, global_position, created_at FROM events WHERE global_position > $1 ORDER BY global_position LIMIT $2 """, from_position, limit ) return [self._row_to_event(row) for row in rows] async def subscribe( self, subscription_id: str, handler, from_position: int = 0, batch_size: int = 100 ): """Subscribe to all events from a position.""" # Get checkpoint async with self.pool.acquire() as conn: checkpoint = await conn.fetchval( """ SELECT last_position FROM subscription_checkpoints WHERE subscription_id = $1 """, subscription_id ) position = checkpoint or from_position while True: events = await self.read_all(position, batch_size) if not events: await asyncio.sleep(1) # Poll interval continue for event in events: await handler(event) position = event.global_position # Save checkpoint async with self.pool.acquire() as conn: await conn.execute( """ INSERT INTO subscription_checkpoints (subscription_id, last_position) VALUES ($1, $2) ON CONFLICT (subscription_id) DO UPDATE SET last_position = $2, updated_at = NOW() """, subscription_id, position ) def _row_to_event(self, row) -> Event: return Event( event_id=row['id'], stream_id=row['stream_id'], event_type=row['event_type'], data=json.loads(row['event_data']), metadata=json.loads(row['metadata']), version=row['version'], global_position=row['global_position'], created_at=row['created_at'] ) class ConcurrencyError(Exception): """Raised when optimistic concurrency check fails.""" pass ``` ### Template 3: EventStoreDB Usage ```python from esdbclient import EventStoreDBClient, NewEvent, StreamState import json # Connect client = EventStoreDBClient(uri="esdb://localhost:2113?tls=false") # Append events def append_events(stream_name: str, events: list, expected_revision=None): new_events = [ NewEvent( type=event['type'], data=json.dumps(event['data']).encode(), metadata=json.dumps(event.get('metadata', {})).encode() ) for event in events ] if expected_revision is None: state = StreamState.ANY elif expected_revision == -1: state = StreamState.NO_STREAM else: state = expected_revision return client.append_to_stream( stream_name=stream_name, events=new_events, current_version=state ) # Read stream def read_stream(stream_name: str, from_revision: int = 0): events = client.get_stream( stream_name=stream_name, stream_position=from_revision ) return [ { 'type': event.type, 'data': json.loads(event.data), 'metadata': json.loads(event.metadata) if event.metadata else {}, 'stream_position': event.stream_position, 'commit_position': event.commit_position } for event in events ] # Subscribe to all async def subscribe_to_all(handler, from_position: int = 0): subscription = client.subscribe_to_all(commit_position=from_position) async for event in subscription: await handler({ 'type': event.type, 'data': json.loads(event.data), 'stream_id': event.stream_name, 'position': event.commit_position }) # Category projection ($ce-Category) def read_category(category: str): """Read all events for a category using system projection.""" return read_stream(f"$ce-{category}") ``` ### Template 4: DynamoDB Event Store ```python import boto3 from boto3.dynamodb.conditions import Key from datetime import datetime import json import uuid class DynamoEventStore: def __init__(self, table_name: str): self.dynamodb = boto3.resource('dynamodb') self.table = self.dynamodb.Table(table_name) def append_events(self, stream_id: str, events: list, expected_version: int = None): """Append events with conditional write for concurrency.""" with self.table.batch_writer() as batch: for i, event in enumerate(events): version = (expected_version or 0) + i + 1 item = { 'PK': f"STREAM#{stream_id}", 'SK': f"VERSION#{version:020d}", 'GSI1PK': 'EVENTS', 'GSI1SK': datetime.utcnow().isoformat(), 'event_id': str(uuid.uuid4()), 'stream_id': stream_id, 'event_type': event['type'], 'event_data': json.dumps(event['data']), 'version': version, 'created_at': datetime.utcnow().isoformat() } batch.put_item(Item=item) return events def read_stream(self, stream_id: str, from_version: int = 0): """Read events from a stream.""" response = self.table.query( KeyConditionExpression=Key('PK').eq(f"STREAM#{stream_id}") & Key('SK').gte(f"VERSION#{from_version:020d}") ) return [ { 'event_type': item['event_type'], 'data': json.loads(item['event_data']), 'version': item['version'] } for item in response['Items'] ] # Table definition (CloudFormation/Terraform) """ DynamoDB Table: - PK (Partition Key): String - SK (Sort Key): String - GSI1PK, GSI1SK for global ordering Capacity: On-demand or provisioned based on throughput needs """ ``` ## Best Practices ### Do's - **Use stream IDs that include aggregate type** - `Order-{uuid}` - **Include correlation/causation IDs** - For tracing - **Version events from day one** - Plan for schema evolution - **Implement idempotency** - Use event IDs for deduplication - **Index appropriately** - For your query patterns ### Don'ts - **Don't update or delete events** - They're immutable facts - **Don't store large payloads** - Keep events small - **Don't skip optimistic concurrency** - Prevents data corruption - **Don't ignore backpressure** - Handle slow consumers ## Resources - [EventStoreDB](https://www.eventstore.com/) - [Marten Events](https://martendb.io/events/) - [Event Sourcing Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/event-sourcing)
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šŸ¤–system prompt•7 months ago

microservices-patterns

Design microservices architectures with service boundaries,

coding
⭐1
# Microservices Patterns Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems. ## When to Use This Skill - Decomposing monoliths into microservices - Designing service boundaries and contracts - Implementing inter-service communication - Managing distributed data and transactions - Building resilient distributed systems - Implementing service discovery and load balancing - Designing event-driven architectures ## Core Concepts ### 1. Service Decomposition Strategies **By Business Capability** - Organize services around business functions - Each service owns its domain - Example: OrderService, PaymentService, InventoryService **By Subdomain (DDD)** - Core domain, supporting subdomains - Bounded contexts map to services - Clear ownership and responsibility **Strangler Fig Pattern** - Gradually extract from monolith - New functionality as microservices - Proxy routes to old/new systems ### 2. Communication Patterns **Synchronous (Request/Response)** - REST APIs - gRPC - GraphQL **Asynchronous (Events/Messages)** - Event streaming (Kafka) - Message queues (RabbitMQ, SQS) - Pub/Sub patterns ### 3. Data Management **Database Per Service** - Each service owns its data - No shared databases - Loose coupling **Saga Pattern** - Distributed transactions - Compensating actions - Eventual consistency ### 4. Resilience Patterns **Circuit Breaker** - Fail fast on repeated errors - Prevent cascade failures **Retry with Backoff** - Transient fault handling - Exponential backoff **Bulkhead** - Isolate resources - Limit impact of failures ## Service Decomposition Patterns ### Pattern 1: By Business Capability ```python # E-commerce example # Order Service class OrderService: """Handles order lifecycle.""" async def create_order(self, order_data: dict) -> Order: order = Order.create(order_data) # Publish event for other services await self.event_bus.publish( OrderCreatedEvent( order_id=order.id, customer_id=order.customer_id, items=order.items, total=order.total ) ) return order # Payment Service (separate service) class PaymentService: """Handles payment processing.""" async def process_payment(self, payment_request: PaymentRequest) -> PaymentResult: # Process payment result = await self.payment_gateway.charge( amount=payment_request.amount, customer=payment_request.customer_id ) if result.success: await self.event_bus.publish( PaymentCompletedEvent( order_id=payment_request.order_id, transaction_id=result.transaction_id ) ) return result # Inventory Service (separate service) class InventoryService: """Handles inventory management.""" async def reserve_items(self, order_id: str, items: List[OrderItem]) -> ReservationResult: # Check availability for item in items: available = await self.inventory_repo.get_available(item.product_id) if available < item.quantity: return ReservationResult( success=False, error=f"Insufficient inventory for {item.product_id}" ) # Reserve items reservation = await self.create_reservation(order_id, items) await self.event_bus.publish( InventoryReservedEvent( order_id=order_id, reservation_id=reservation.id ) ) return ReservationResult(success=True, reservation=reservation) ``` ### Pattern 2: API Gateway ```python from fastapi import FastAPI, HTTPException, Depends import httpx from circuitbreaker import circuit app = FastAPI() class APIGateway: """Central entry point for all client requests.""" def __init__(self): self.order_service_url = "http://order-service:8000" self.payment_service_url = "http://payment-service:8001" self.inventory_service_url = "http://inventory-service:8002" self.http_client = httpx.AsyncClient(timeout=5.0) @circuit(failure_threshold=5, recovery_timeout=30) async def call_order_service(self, path: str, method: str = "GET", **kwargs): """Call order service with circuit breaker.""" response = await self.http_client.request( method, f"{self.order_service_url}{path}", **kwargs ) response.raise_for_status() return response.json() async def create_order_aggregate(self, order_id: str) -> dict: """Aggregate data from multiple services.""" # Parallel requests order, payment, inventory = await asyncio.gather( self.call_order_service(f"/orders/{order_id}"), self.call_payment_service(f"/payments/order/{order_id}"), self.call_inventory_service(f"/reservations/order/{order_id}"), return_exceptions=True ) # Handle partial failures result = {"order": order} if not isinstance(payment, Exception): result["payment"] = payment if not isinstance(inventory, Exception): result["inventory"] = inventory return result @app.post("/api/orders") async def create_order( order_data: dict, gateway: APIGateway = Depends() ): """API Gateway endpoint.""" try: # Route to order service order = await gateway.call_order_service( "/orders", method="POST", json=order_data ) return {"order": order} except httpx.HTTPError as e: raise HTTPException(status_code=503, detail="Order service unavailable") ``` ## Communication Patterns ### Pattern 1: Synchronous REST Communication ```python # Service A calls Service B import httpx from tenacity import retry, stop_after_attempt, wait_exponential class ServiceClient: """HTTP client with retries and timeout.""" def __init__(self, base_url: str): self.base_url = base_url self.client = httpx.AsyncClient( timeout=httpx.Timeout(5.0, connect=2.0), limits=httpx.Limits(max_keepalive_connections=20) ) @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=2, max=10) ) async def get(self, path: str, **kwargs): """GET with automatic retries.""" response = await self.client.get(f"{self.base_url}{path}", **kwargs) response.raise_for_status() return response.json() async def post(self, path: str, **kwargs): """POST request.""" response = await self.client.post(f"{self.base_url}{path}", **kwargs) response.raise_for_status() return response.json() # Usage payment_client = ServiceClient("http://payment-service:8001") result = await payment_client.post("/payments", json=payment_data) ``` ### Pattern 2: Asynchronous Event-Driven ```python # Event-driven communication with Kafka from aiokafka import AIOKafkaProducer, AIOKafkaConsumer import json from dataclasses import dataclass, asdict from datetime import datetime @dataclass class DomainEvent: event_id: str event_type: str aggregate_id: str occurred_at: datetime data: dict class EventBus: """Event publishing and subscription.""" def __init__(self, bootstrap_servers: List[str]): self.bootstrap_servers = bootstrap_servers self.producer = None async def start(self): self.producer = AIOKafkaProducer( bootstrap_servers=self.bootstrap_servers, value_serializer=lambda v: json.dumps(v).encode() ) await self.producer.start() async def publish(self, event: DomainEvent): """Publish event to Kafka topic.""" topic = event.event_type await self.producer.send_and_wait( topic, value=asdict(event), key=event.aggregate_id.encode() ) async def subscribe(self, topic: str, handler: callable): """Subscribe to events.""" consumer = AIOKafkaConsumer( topic, bootstrap_servers=self.bootstrap_servers, value_deserializer=lambda v: json.loads(v.decode()), group_id="my-service" ) await consumer.start() try: async for message in consumer: event_data = message.value await handler(event_data) finally: await consumer.stop() # Order Service publishes event async def create_order(order_data: dict): order = await save_order(order_data) event = DomainEvent( event_id=str(uuid.uuid4()), event_type="OrderCreated", aggregate_id=order.id, occurred_at=datetime.now(), data={ "order_id": order.id, "customer_id": order.customer_id, "total": order.total } ) await event_bus.publish(event) # Inventory Service listens for OrderCreated async def handle_order_created(event_data: dict): """React to order creation.""" order_id = event_data["data"]["order_id"] items = event_data["data"]["items"] # Reserve inventory await reserve_inventory(order_id, items) ``` ### Pattern 3: Saga Pattern (Distributed Transactions) ```python # Saga orchestration for order fulfillment from enum import Enum from typing import List, Callable class SagaStep: """Single step in saga.""" def __init__( self, name: str, action: Callable, compensation: Callable ): self.name = name self.action = action self.compensation = compensation class SagaStatus(Enum): PENDING = "pending" COMPLETED = "completed" COMPENSATING = "compensating" FAILED = "failed" class OrderFulfillmentSaga: """Orchestrated saga for order fulfillment.""" def __init__(self): self.steps: List[SagaStep] = [ SagaStep( "create_order", action=self.create_order, compensation=self.cancel_order ), SagaStep( "reserve_inventory", action=self.reserve_inventory, compensation=self.release_inventory ), SagaStep( "process_payment", action=self.process_payment, compensation=self.refund_payment ), SagaStep( "confirm_order", action=self.confirm_order, compensation=self.cancel_order_confirmation ) ] async def execute(self, order_data: dict) -> SagaResult: """Execute saga steps.""" completed_steps = [] context = {"order_data": order_data} try: for step in self.steps: # Execute step result = await step.action(context) if not result.success: # Compensate await self.compensate(completed_steps, context) return SagaResult( status=SagaStatus.FAILED, error=result.error ) completed_steps.append(step) context.update(result.data) return SagaResult(status=SagaStatus.COMPLETED, data=context) except Exception as e: # Compensate on error await self.compensate(completed_steps, context) return SagaResult(status=SagaStatus.FAILED, error=str(e)) async def compensate(self, completed_steps: List[SagaStep], context: dict): """Execute compensating actions in reverse order.""" for step in reversed(completed_steps): try: await step.compensation(context) except Exception as e: # Log compensation failure print(f"Compensation failed for {step.name}: {e}") # Step implementations async def create_order(self, context: dict) -> StepResult: order = await order_service.create(context["order_data"]) return StepResult(success=True, data={"order_id": order.id}) async def cancel_order(self, context: dict): await order_service.cancel(context["order_id"]) async def reserve_inventory(self, context: dict) -> StepResult: result = await inventory_service.reserve( context["order_id"], context["order_data"]["items"] ) return StepResult( success=result.success, data={"reservation_id": result.reservation_id} ) async def release_inventory(self, context: dict): await inventory_service.release(context["reservation_id"]) async def process_payment(self, context: dict) -> StepResult: result = await payment_service.charge( context["order_id"], context["order_data"]["total"] ) return StepResult( success=result.success, data={"transaction_id": result.transaction_id}, error=result.error ) async def refund_payment(self, context: dict): await payment_service.refund(context["transaction_id"]) ``` ## Resilience Patterns ### Circuit Breaker Pattern ```python from enum import Enum from datetime import datetime, timedelta from typing import Callable, Any class CircuitState(Enum): CLOSED = "closed" # Normal operation OPEN = "open" # Failing, reject requests HALF_OPEN = "half_open" # Testing if recovered class CircuitBreaker: """Circuit breaker for service calls.""" def __init__( self, failure_threshold: int = 5, recovery_timeout: int = 30, success_threshold: int = 2 ): self.failure_threshold = failure_threshold self.recovery_timeout = recovery_timeout self.success_threshold = success_threshold self.failure_count = 0 self.success_count = 0 self.state = CircuitState.CLOSED self.opened_at = None async def call(self, func: Callable, *args, **kwargs) -> Any: """Execute function with circuit breaker.""" if self.state == CircuitState.OPEN: if self._should_attempt_reset(): self.state = CircuitState.HALF_OPEN else: raise CircuitBreakerOpenError("Circuit breaker is open") try: result = await func(*args, **kwargs) self._on_success() return result except Exception as e: self._on_failure() raise def _on_success(self): """Handle successful call.""" self.failure_count = 0 if self.state == CircuitState.HALF_OPEN: self.success_count += 1 if self.success_count >= self.success_threshold: self.state = CircuitState.CLOSED self.success_count = 0 def _on_failure(self): """Handle failed call.""" self.failure_count += 1 if self.failure_count >= self.failure_threshold: self.state = CircuitState.OPEN self.opened_at = datetime.now() if self.state == CircuitState.HALF_OPEN: self.state = CircuitState.OPEN self.opened_at = datetime.now() def _should_attempt_reset(self) -> bool: """Check if enough time passed to try again.""" return ( datetime.now() - self.opened_at > timedelta(seconds=self.recovery_timeout) ) # Usage breaker = CircuitBreaker(failure_threshold=5, recovery_timeout=30) async def call_payment_service(payment_data: dict): return await breaker.call( payment_client.process_payment, payment_data ) ``` ## Resources - **references/service-decomposition-guide.md**: Breaking down monoliths - **references/communication-patterns.md**: Sync vs async patterns - **references/saga-implementation.md**: Distributed transactions - **assets/circuit-breaker.py**: Production circuit breaker - **assets/event-bus-template.py**: Kafka event bus implementation - **assets/api-gateway-template.py**: Complete API gateway ## Best Practices 1. **Service Boundaries**: Align with business capabilities 2. **Database Per Service**: No shared databases 3. **API Contracts**: Versioned, backward compatible 4. **Async When Possible**: Events over direct calls 5. **Circuit Breakers**: Fail fast on service failures 6. **Distributed Tracing**: Track requests across services 7. **Service Registry**: Dynamic service discovery 8. **Health Checks**: Liveness and readiness probes ## Common Pitfalls - **Distributed Monolith**: Tightly coupled services - **Chatty Services**: Too many inter-service calls - **Shared Databases**: Tight coupling through data - **No Circuit Breakers**: Cascade failures - **Synchronous Everything**: Tight coupling, poor resilience - **Premature Microservices**: Starting with microservices - **Ignoring Network Failures**: Assuming reliable network - **No Compensation Logic**: Can't undo failed transactions
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

projection-patterns

Build read models and projections from event streams. Use when

coding
⭐1
# Projection Patterns Comprehensive guide to building projections and read models for event-sourced systems. ## When to Use This Skill - Building CQRS read models - Creating materialized views from events - Optimizing query performance - Implementing real-time dashboards - Building search indexes from events - Aggregating data across streams ## Core Concepts ### 1. Projection Architecture ``` ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Event Store │────►│ Projector │────►│ Read Model │ │ │ │ │ │ (Database) │ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ │ │ Events │ │ │ │ Handler │ │ │ │ Tables │ │ │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ │ │ Logic │ │ │ │ Views │ │ │ │ │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ │ │ Cache │ │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ``` ### 2. Projection Types | Type | Description | Use Case | | -------------- | --------------------------- | ---------------------- | | **Live** | Real-time from subscription | Current state queries | | **Catchup** | Process historical events | Rebuilding read models | | **Persistent** | Stores checkpoint | Resume after restart | | **Inline** | Same transaction as write | Strong consistency | ## Templates ### Template 1: Basic Projector ```python from abc import ABC, abstractmethod from dataclasses import dataclass from typing import Dict, Any, Callable, List import asyncpg @dataclass class Event: stream_id: str event_type: str data: dict version: int global_position: int class Projection(ABC): """Base class for projections.""" @property @abstractmethod def name(self) -> str: """Unique projection name for checkpointing.""" pass @abstractmethod def handles(self) -> List[str]: """List of event types this projection handles.""" pass @abstractmethod async def apply(self, event: Event) -> None: """Apply event to the read model.""" pass class Projector: """Runs projections from event store.""" def __init__(self, event_store, checkpoint_store): self.event_store = event_store self.checkpoint_store = checkpoint_store self.projections: List[Projection] = [] def register(self, projection: Projection): self.projections.append(projection) async def run(self, batch_size: int = 100): """Run all projections continuously.""" while True: for projection in self.projections: await self._run_projection(projection, batch_size) await asyncio.sleep(0.1) async def _run_projection(self, projection: Projection, batch_size: int): checkpoint = await self.checkpoint_store.get(projection.name) position = checkpoint or 0 events = await self.event_store.read_all(position, batch_size) for event in events: if event.event_type in projection.handles(): await projection.apply(event) await self.checkpoint_store.save( projection.name, event.global_position ) async def rebuild(self, projection: Projection): """Rebuild a projection from scratch.""" await self.checkpoint_store.delete(projection.name) # Optionally clear read model tables await self._run_projection(projection, batch_size=1000) ``` ### Template 2: Order Summary Projection ```python class OrderSummaryProjection(Projection): """Projects order events to a summary read model.""" def __init__(self, db_pool: asyncpg.Pool): self.pool = db_pool @property def name(self) -> str: return "order_summary" def handles(self) -> List[str]: return [ "OrderCreated", "OrderItemAdded", "OrderItemRemoved", "OrderShipped", "OrderCompleted", "OrderCancelled" ] async def apply(self, event: Event) -> None: handlers = { "OrderCreated": self._handle_created, "OrderItemAdded": self._handle_item_added, "OrderItemRemoved": self._handle_item_removed, "OrderShipped": self._handle_shipped, "OrderCompleted": self._handle_completed, "OrderCancelled": self._handle_cancelled, } handler = handlers.get(event.event_type) if handler: await handler(event) async def _handle_created(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ INSERT INTO order_summaries (order_id, customer_id, status, total_amount, item_count, created_at) VALUES ($1, $2, $3, $4, $5, $6) """, event.data['order_id'], event.data['customer_id'], 'pending', 0, 0, event.data['created_at'] ) async def _handle_item_added(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ UPDATE order_summaries SET total_amount = total_amount + $2, item_count = item_count + 1, updated_at = NOW() WHERE order_id = $1 """, event.data['order_id'], event.data['price'] * event.data['quantity'] ) async def _handle_item_removed(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ UPDATE order_summaries SET total_amount = total_amount - $2, item_count = item_count - 1, updated_at = NOW() WHERE order_id = $1 """, event.data['order_id'], event.data['price'] * event.data['quantity'] ) async def _handle_shipped(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ UPDATE order_summaries SET status = 'shipped', shipped_at = $2, updated_at = NOW() WHERE order_id = $1 """, event.data['order_id'], event.data['shipped_at'] ) async def _handle_completed(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ UPDATE order_summaries SET status = 'completed', completed_at = $2, updated_at = NOW() WHERE order_id = $1 """, event.data['order_id'], event.data['completed_at'] ) async def _handle_cancelled(self, event: Event): async with self.pool.acquire() as conn: await conn.execute( """ UPDATE order_summaries SET status = 'cancelled', cancelled_at = $2, cancellation_reason = $3, updated_at = NOW() WHERE order_id = $1 """, event.data['order_id'], event.data['cancelled_at'], event.data.get('reason') ) ``` ### Template 3: Elasticsearch Search Projection ```python from elasticsearch import AsyncElasticsearch class ProductSearchProjection(Projection): """Projects product events to Elasticsearch for full-text search.""" def __init__(self, es_client: AsyncElasticsearch): self.es = es_client self.index = "products" @property def name(self) -> str: return "product_search" def handles(self) -> List[str]: return [ "ProductCreated", "ProductUpdated", "ProductPriceChanged", "ProductDeleted" ] async def apply(self, event: Event) -> None: if event.event_type == "ProductCreated": await self.es.index( index=self.index, id=event.data['product_id'], document={ 'name': event.data['name'], 'description': event.data['description'], 'category': event.data['category'], 'price': event.data['price'], 'tags': event.data.get('tags', []), 'created_at': event.data['created_at'] } ) elif event.event_type == "ProductUpdated": await self.es.update( index=self.index, id=event.data['product_id'], doc={ 'name': event.data['name'], 'description': event.data['description'], 'category': event.data['category'], 'tags': event.data.get('tags', []), 'updated_at': event.data['updated_at'] } ) elif event.event_type == "ProductPriceChanged": await self.es.update( index=self.index, id=event.data['product_id'], doc={ 'price': event.data['new_price'], 'price_updated_at': event.data['changed_at'] } ) elif event.event_type == "ProductDeleted": await self.es.delete( index=self.index, id=event.data['product_id'] ) ``` ### Template 4: Aggregating Projection ```python class DailySalesProjection(Projection): """Aggregates sales data by day for reporting.""" def __init__(self, db_pool: asyncpg.Pool): self.pool = db_pool @property def name(self) -> str: return "daily_sales" def handles(self) -> List[str]: return ["OrderCompleted", "OrderRefunded"] async def apply(self, event: Event) -> None: if event.event_type == "OrderCompleted": await self._increment_sales(event) elif event.event_type == "OrderRefunded": await self._decrement_sales(event) async def _increment_sales(self, event: Event): date = event.data['completed_at'][:10] # YYYY-MM-DD async with self.pool.acquire() as conn: await conn.execute( """ INSERT INTO daily_sales (date, total_orders, total_revenue, total_items) VALUES ($1, 1, $2, $3) ON CONFLICT (date) DO UPDATE SET total_orders = daily_sales.total_orders + 1, total_revenue = daily_sales.total_revenue + $2, total_items = daily_sales.total_items + $3, updated_at = NOW() """, date, event.data['total_amount'], event.data['item_count'] ) async def _decrement_sales(self, event: Event): date = event.data['original_completed_at'][:10] async with self.pool.acquire() as conn: await conn.execute( """ UPDATE daily_sales SET total_orders = total_orders - 1, total_revenue = total_revenue - $2, total_refunds = total_refunds + $2, updated_at = NOW() WHERE date = $1 """, date, event.data['refund_amount'] ) ``` ### Template 5: Multi-Table Projection ```python class CustomerActivityProjection(Projection): """Projects customer activity across multiple tables.""" def __init__(self, db_pool: asyncpg.Pool): self.pool = db_pool @property def name(self) -> str: return "customer_activity" def handles(self) -> List[str]: return [ "CustomerCreated", "OrderCompleted", "ReviewSubmitted", "CustomerTierChanged" ] async def apply(self, event: Event) -> None: async with self.pool.acquire() as conn: async with conn.transaction(): if event.event_type == "CustomerCreated": # Insert into customers table await conn.execute( """ INSERT INTO customers (customer_id, email, name, tier, created_at) VALUES ($1, $2, $3, 'bronze', $4) """, event.data['customer_id'], event.data['email'], event.data['name'], event.data['created_at'] ) # Initialize activity summary await conn.execute( """ INSERT INTO customer_activity_summary (customer_id, total_orders, total_spent, total_reviews) VALUES ($1, 0, 0, 0) """, event.data['customer_id'] ) elif event.event_type == "OrderCompleted": # Update activity summary await conn.execute( """ UPDATE customer_activity_summary SET total_orders = total_orders + 1, total_spent = total_spent + $2, last_order_at = $3 WHERE customer_id = $1 """, event.data['customer_id'], event.data['total_amount'], event.data['completed_at'] ) # Insert into order history await conn.execute( """ INSERT INTO customer_order_history (customer_id, order_id, amount, completed_at) VALUES ($1, $2, $3, $4) """, event.data['customer_id'], event.data['order_id'], event.data['total_amount'], event.data['completed_at'] ) elif event.event_type == "ReviewSubmitted": await conn.execute( """ UPDATE customer_activity_summary SET total_reviews = total_reviews + 1, last_review_at = $2 WHERE customer_id = $1 """, event.data['customer_id'], event.data['submitted_at'] ) elif event.event_type == "CustomerTierChanged": await conn.execute( """ UPDATE customers SET tier = $2, updated_at = NOW() WHERE customer_id = $1 """, event.data['customer_id'], event.data['new_tier'] ) ``` ## Best Practices ### Do's - **Make projections idempotent** - Safe to replay - **Use transactions** - For multi-table updates - **Store checkpoints** - Resume after failures - **Monitor lag** - Alert on projection delays - **Plan for rebuilds** - Design for reconstruction ### Don'ts - **Don't couple projections** - Each is independent - **Don't skip error handling** - Log and alert on failures - **Don't ignore ordering** - Events must be processed in order - **Don't over-normalize** - Denormalize for query patterns ## Resources - [CQRS Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs) - [Projection Building Blocks](https://zimarev.com/blog/event-sourcing/projections/)
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

temporal-python-testing

Test Temporal workflows with pytest, time-skipping, and mocking

coding
⭐1
# Temporal Python Testing Strategies Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios. ## When to Use This Skill - **Unit testing workflows** - Fast tests with time-skipping - **Integration testing** - Workflows with mocked activities - **Replay testing** - Validate determinism against production histories - **Local development** - Set up Temporal server and pytest - **CI/CD integration** - Automated testing pipelines - **Coverage strategies** - Achieve ≄80% test coverage ## Testing Philosophy **Recommended Approach** (Source: docs.temporal.io/develop/python/testing-suite): - Write majority as integration tests - Use pytest with async fixtures - Time-skipping enables fast feedback (month-long workflows → seconds) - Mock activities to isolate workflow logic - Validate determinism with replay testing **Three Test Types**: 1. **Unit**: Workflows with time-skipping, activities with ActivityEnvironment 2. **Integration**: Workers with mocked activities 3. **End-to-end**: Full Temporal server with real activities (use sparingly) ## Available Resources This skill provides detailed guidance through progressive disclosure. Load specific resources based on your testing needs: ### Unit Testing Resources **File**: `resources/unit-testing.md` **When to load**: Testing individual workflows or activities in isolation **Contains**: - WorkflowEnvironment with time-skipping - ActivityEnvironment for activity testing - Fast execution of long-running workflows - Manual time advancement patterns - pytest fixtures and patterns ### Integration Testing Resources **File**: `resources/integration-testing.md` **When to load**: Testing workflows with mocked external dependencies **Contains**: - Activity mocking strategies - Error injection patterns - Multi-activity workflow testing - Signal and query testing - Coverage strategies ### Replay Testing Resources **File**: `resources/replay-testing.md` **When to load**: Validating determinism or deploying workflow changes **Contains**: - Determinism validation - Production history replay - CI/CD integration patterns - Version compatibility testing ### Local Development Resources **File**: `resources/local-setup.md` **When to load**: Setting up development environment **Contains**: - Docker Compose configuration - pytest setup and configuration - Coverage tool integration - Development workflow ## Quick Start Guide ### Basic Workflow Test ```python import pytest from temporalio.testing import WorkflowEnvironment from temporalio.worker import Worker @pytest.fixture async def workflow_env(): env = await WorkflowEnvironment.start_time_skipping() yield env await env.shutdown() @pytest.mark.asyncio async def test_workflow(workflow_env): async with Worker( workflow_env.client, task_queue="test-queue", workflows=[YourWorkflow], activities=[your_activity], ): result = await workflow_env.client.execute_workflow( YourWorkflow.run, args, id="test-wf-id", task_queue="test-queue", ) assert result == expected ``` ### Basic Activity Test ```python from temporalio.testing import ActivityEnvironment async def test_activity(): env = ActivityEnvironment() result = await env.run(your_activity, "test-input") assert result == expected_output ``` ## Coverage Targets **Recommended Coverage** (Source: docs.temporal.io best practices): - **Workflows**: ≄80% logic coverage - **Activities**: ≄80% logic coverage - **Integration**: Critical paths with mocked activities - **Replay**: All workflow versions before deployment ## Key Testing Principles 1. **Time-Skipping** - Month-long workflows test in seconds 2. **Mock Activities** - Isolate workflow logic from external dependencies 3. **Replay Testing** - Validate determinism before deployment 4. **High Coverage** - ≄80% target for production workflows 5. **Fast Feedback** - Unit tests run in milliseconds ## How to Use Resources **Load specific resource when needed**: - "Show me unit testing patterns" → Load `resources/unit-testing.md` - "How do I mock activities?" → Load `resources/integration-testing.md` - "Setup local Temporal server" → Load `resources/local-setup.md` - "Validate determinism" → Load `resources/replay-testing.md` ## Additional References - Python SDK Testing: docs.temporal.io/develop/python/testing-suite - Testing Patterns: github.com/temporalio/temporal/blob/main/docs/development/testing.md - Python Samples: github.com/temporalio/samples-python
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

nx-workspace-patterns

Configure and optimize Nx monorepo workspaces. Use when setting up

coding
⭐1
# Nx Workspace Patterns Production patterns for Nx monorepo management. ## When to Use This Skill - Setting up new Nx workspaces - Configuring project boundaries - Optimizing CI with affected commands - Implementing remote caching - Managing dependencies between projects - Migrating to Nx ## Core Concepts ### 1. Nx Architecture ``` workspace/ ā”œā”€ā”€ apps/ # Deployable applications │ ā”œā”€ā”€ web/ │ └── api/ ā”œā”€ā”€ libs/ # Shared libraries │ ā”œā”€ā”€ shared/ │ │ ā”œā”€ā”€ ui/ │ │ └── utils/ │ └── feature/ │ ā”œā”€ā”€ auth/ │ └── dashboard/ ā”œā”€ā”€ tools/ # Custom executors/generators ā”œā”€ā”€ nx.json # Nx configuration └── workspace.json # Project configuration ``` ### 2. Library Types | Type | Purpose | Example | | --------------- | -------------------------------- | ------------------- | | **feature** | Smart components, business logic | `feature-auth` | | **ui** | Presentational components | `ui-buttons` | | **data-access** | API calls, state management | `data-access-users` | | **util** | Pure functions, helpers | `util-formatting` | | **shell** | App bootstrapping | `shell-web` | ## Templates ### Template 1: nx.json Configuration ```json { "$schema": "./node_modules/nx/schemas/nx-schema.json", "npmScope": "myorg", "affected": { "defaultBase": "main" }, "tasksRunnerOptions": { "default": { "runner": "nx/tasks-runners/default", "options": { "cacheableOperations": [ "build", "lint", "test", "e2e", "build-storybook" ], "parallel": 3 } } }, "targetDefaults": { "build": { "dependsOn": ["^build"], "inputs": ["production", "^production"], "cache": true }, "test": { "inputs": ["default", "^production", "{workspaceRoot}/jest.preset.js"], "cache": true }, "lint": { "inputs": ["default", "{workspaceRoot}/.eslintrc.json"], "cache": true }, "e2e": { "inputs": ["default", "^production"], "cache": true } }, "namedInputs": { "default": ["{projectRoot}/**/*", "sharedGlobals"], "production": [ "default", "!{projectRoot}/**/?(*.)+(spec|test).[jt]s?(x)?(.snap)", "!{projectRoot}/tsconfig.spec.json", "!{projectRoot}/jest.config.[jt]s", "!{projectRoot}/.eslintrc.json" ], "sharedGlobals": [ "{workspaceRoot}/babel.config.json", "{workspaceRoot}/tsconfig.base.json" ] }, "generators": { "@nx/react": { "application": { "style": "css", "linter": "eslint", "bundler": "webpack" }, "library": { "style": "css", "linter": "eslint" }, "component": { "style": "css" } } } } ``` ### Template 2: Project Configuration ```json // apps/web/project.json { "name": "web", "$schema": "../../node_modules/nx/schemas/project-schema.json", "sourceRoot": "apps/web/src", "projectType": "application", "tags": ["type:app", "scope:web"], "targets": { "build": { "executor": "@nx/webpack:webpack", "outputs": ["{options.outputPath}"], "defaultConfiguration": "production", "options": { "compiler": "babel", "outputPath": "dist/apps/web", "index": "apps/web/src/index.html", "main": "apps/web/src/main.tsx", "tsConfig": "apps/web/tsconfig.app.json", "assets": ["apps/web/src/assets"], "styles": ["apps/web/src/styles.css"] }, "configurations": { "development": { "extractLicenses": false, "optimization": false, "sourceMap": true }, "production": { "optimization": true, "outputHashing": "all", "sourceMap": false, "extractLicenses": true } } }, "serve": { "executor": "@nx/webpack:dev-server", "defaultConfiguration": "development", "options": { "buildTarget": "web:build" }, "configurations": { "development": { "buildTarget": "web:build:development" }, "production": { "buildTarget": "web:build:production" } } }, "test": { "executor": "@nx/jest:jest", "outputs": ["{workspaceRoot}/coverage/{projectRoot}"], "options": { "jestConfig": "apps/web/jest.config.ts", "passWithNoTests": true } }, "lint": { "executor": "@nx/eslint:lint", "outputs": ["{options.outputFile}"], "options": { "lintFilePatterns": ["apps/web/**/*.{ts,tsx,js,jsx}"] } } } } ``` ### Template 3: Module Boundary Rules ```json // .eslintrc.json { "root": true, "ignorePatterns": ["**/*"], "plugins": ["@nx"], "overrides": [ { "files": ["*.ts", "*.tsx", "*.js", "*.jsx"], "rules": { "@nx/enforce-module-boundaries": [ "error", { "enforceBuildableLibDependency": true, "allow": [], "depConstraints": [ { "sourceTag": "type:app", "onlyDependOnLibsWithTags": [ "type:feature", "type:ui", "type:data-access", "type:util" ] }, { "sourceTag": "type:feature", "onlyDependOnLibsWithTags": [ "type:ui", "type:data-access", "type:util" ] }, { "sourceTag": "type:ui", "onlyDependOnLibsWithTags": ["type:ui", "type:util"] }, { "sourceTag": "type:data-access", "onlyDependOnLibsWithTags": ["type:data-access", "type:util"] }, { "sourceTag": "type:util", "onlyDependOnLibsWithTags": ["type:util"] }, { "sourceTag": "scope:web", "onlyDependOnLibsWithTags": ["scope:web", "scope:shared"] }, { "sourceTag": "scope:api", "onlyDependOnLibsWithTags": ["scope:api", "scope:shared"] }, { "sourceTag": "scope:shared", "onlyDependOnLibsWithTags": ["scope:shared"] } ] } ] } } ] } ``` ### Template 4: Custom Generator ```typescript // tools/generators/feature-lib/index.ts import { Tree, formatFiles, generateFiles, joinPathFragments, names, readProjectConfiguration, } from "@nx/devkit"; import { libraryGenerator } from "@nx/react"; interface FeatureLibraryGeneratorSchema { name: string; scope: string; directory?: string; } export default async function featureLibraryGenerator( tree: Tree, options: FeatureLibraryGeneratorSchema, ) { const { name, scope, directory } = options; const projectDirectory = directory ? `${directory}/${name}` : `libs/${scope}/feature-${name}`; // Generate base library await libraryGenerator(tree, { name: `feature-${name}`, directory: projectDirectory, tags: `type:feature,scope:${scope}`, style: "css", skipTsConfig: false, skipFormat: true, unitTestRunner: "jest", linter: "eslint", }); // Add custom files const projectConfig = readProjectConfiguration( tree, `${scope}-feature-${name}`, ); const projectNames = names(name); generateFiles( tree, joinPathFragments(__dirname, "files"), projectConfig.sourceRoot, { ...projectNames, scope, tmpl: "", }, ); await formatFiles(tree); } ``` ### Template 5: CI Configuration with Affected ```yaml # .github/workflows/ci.yml name: CI on: push: branches: [main] pull_request: branches: [main] env: NX_CLOUD_ACCESS_TOKEN: ${{ secrets.NX_CLOUD_ACCESS_TOKEN }} jobs: main: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 with: fetch-depth: 0 - uses: actions/setup-node@v4 with: node-version: 20 cache: "npm" - name: Install dependencies run: npm ci - name: Derive SHAs for affected commands uses: nrwl/nx-set-shas@v4 - name: Run affected lint run: npx nx affected -t lint --parallel=3 - name: Run affected test run: npx nx affected -t test --parallel=3 --configuration=ci - name: Run affected build run: npx nx affected -t build --parallel=3 - name: Run affected e2e run: npx nx affected -t e2e --parallel=1 ``` ### Template 6: Remote Caching Setup ```typescript // nx.json with Nx Cloud { "tasksRunnerOptions": { "default": { "runner": "nx-cloud", "options": { "cacheableOperations": ["build", "lint", "test", "e2e"], "accessToken": "your-nx-cloud-token", "parallel": 3, "cacheDirectory": ".nx/cache" } } }, "nxCloudAccessToken": "your-nx-cloud-token" } // Self-hosted cache with S3 { "tasksRunnerOptions": { "default": { "runner": "@nx-aws-cache/nx-aws-cache", "options": { "cacheableOperations": ["build", "lint", "test"], "awsRegion": "us-east-1", "awsBucket": "my-nx-cache-bucket", "awsProfile": "default" } } } } ``` ## Common Commands ```bash # Generate new library nx g @nx/react:lib feature-auth --directory=libs/web --tags=type:feature,scope:web # Run affected tests nx affected -t test --base=main # View dependency graph nx graph # Run specific project nx build web --configuration=production # Reset cache nx reset # Run migrations nx migrate latest nx migrate --run-migrations ``` ## Best Practices ### Do's - **Use tags consistently** - Enforce with module boundaries - **Enable caching early** - Significant CI savings - **Keep libs focused** - Single responsibility - **Use generators** - Ensure consistency - **Document boundaries** - Help new developers ### Don'ts - **Don't create circular deps** - Graph should be acyclic - **Don't skip affected** - Test only what changed - **Don't ignore boundaries** - Tech debt accumulates - **Don't over-granularize** - Balance lib count ## Resources - [Nx Documentation](https://nx.dev/getting-started/intro) - [Module Boundaries](https://nx.dev/core-features/enforce-module-boundaries) - [Nx Cloud](https://nx.app/)
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems.

coding
⭐1
# Workflow Orchestration Patterns Master workflow orchestration architecture with Temporal, covering fundamental design decisions, resilience patterns, and best practices for building reliable distributed systems. ## When to Use Workflow Orchestration ### Ideal Use Cases (Source: docs.temporal.io) - **Multi-step processes** spanning machines/services/databases - **Distributed transactions** requiring all-or-nothing semantics - **Long-running workflows** (hours to years) with automatic state persistence - **Failure recovery** that must resume from last successful step - **Business processes**: bookings, orders, campaigns, approvals - **Entity lifecycle management**: inventory tracking, account management, cart workflows - **Infrastructure automation**: CI/CD pipelines, provisioning, deployments - **Human-in-the-loop** systems requiring timeouts and escalations ### When NOT to Use - Simple CRUD operations (use direct API calls) - Pure data processing pipelines (use Airflow, batch processing) - Stateless request/response (use standard APIs) - Real-time streaming (use Kafka, event processors) ## Critical Design Decision: Workflows vs Activities **The Fundamental Rule** (Source: temporal.io/blog/workflow-engine-principles): - **Workflows** = Orchestration logic and decision-making - **Activities** = External interactions (APIs, databases, network calls) ### Workflows (Orchestration) **Characteristics:** - Contain business logic and coordination - **MUST be deterministic** (same inputs → same outputs) - **Cannot** perform direct external calls - State automatically preserved across failures - Can run for years despite infrastructure failures **Example workflow tasks:** - Decide which steps to execute - Handle compensation logic - Manage timeouts and retries - Coordinate child workflows ### Activities (External Interactions) **Characteristics:** - Handle all external system interactions - Can be non-deterministic (API calls, DB writes) - Include built-in timeouts and retry logic - **Must be idempotent** (calling N times = calling once) - Short-lived (seconds to minutes typically) **Example activity tasks:** - Call payment gateway API - Write to database - Send emails or notifications - Query external services ### Design Decision Framework ``` Does it touch external systems? → Activity Is it orchestration/decision logic? → Workflow ``` ## Core Workflow Patterns ### 1. Saga Pattern with Compensation **Purpose**: Implement distributed transactions with rollback capability **Pattern** (Source: temporal.io/blog/compensating-actions-part-of-a-complete-breakfast-with-sagas): ``` For each step: 1. Register compensation BEFORE executing 2. Execute the step (via activity) 3. On failure, run all compensations in reverse order (LIFO) ``` **Example: Payment Workflow** 1. Reserve inventory (compensation: release inventory) 2. Charge payment (compensation: refund payment) 3. Fulfill order (compensation: cancel fulfillment) **Critical Requirements:** - Compensations must be idempotent - Register compensation BEFORE executing step - Run compensations in reverse order - Handle partial failures gracefully ### 2. Entity Workflows (Actor Model) **Purpose**: Long-lived workflow representing single entity instance **Pattern** (Source: docs.temporal.io/evaluate/use-cases-design-patterns): - One workflow execution = one entity (cart, account, inventory item) - Workflow persists for entity lifetime - Receives signals for state changes - Supports queries for current state **Example Use Cases:** - Shopping cart (add items, checkout, expiration) - Bank account (deposits, withdrawals, balance checks) - Product inventory (stock updates, reservations) **Benefits:** - Encapsulates entity behavior - Guarantees consistency per entity - Natural event sourcing ### 3. Fan-Out/Fan-In (Parallel Execution) **Purpose**: Execute multiple tasks in parallel, aggregate results **Pattern:** - Spawn child workflows or parallel activities - Wait for all to complete - Aggregate results - Handle partial failures **Scaling Rule** (Source: temporal.io/blog/workflow-engine-principles): - Don't scale individual workflows - For 1M tasks: spawn 1K child workflows Ɨ 1K tasks each - Keep each workflow bounded ### 4. Async Callback Pattern **Purpose**: Wait for external event or human approval **Pattern:** - Workflow sends request and waits for signal - External system processes asynchronously - Sends signal to resume workflow - Workflow continues with response **Use Cases:** - Human approval workflows - Webhook callbacks - Long-running external processes ## State Management and Determinism ### Automatic State Preservation **How Temporal Works** (Source: docs.temporal.io/workflows): - Complete program state preserved automatically - Event History records every command and event - Seamless recovery from crashes - Applications restore pre-failure state ### Determinism Constraints **Workflows Execute as State Machines**: - Replay behavior must be consistent - Same inputs → identical outputs every time **Prohibited in Workflows** (Source: docs.temporal.io/workflows): - āŒ Threading, locks, synchronization primitives - āŒ Random number generation (`random()`) - āŒ Global state or static variables - āŒ System time (`datetime.now()`) - āŒ Direct file I/O or network calls - āŒ Non-deterministic libraries **Allowed in Workflows**: - āœ… `workflow.now()` (deterministic time) - āœ… `workflow.random()` (deterministic random) - āœ… Pure functions and calculations - āœ… Calling activities (non-deterministic operations) ### Versioning Strategies **Challenge**: Changing workflow code while old executions still running **Solutions**: 1. **Versioning API**: Use `workflow.get_version()` for safe changes 2. **New Workflow Type**: Create new workflow, route new executions to it 3. **Backward Compatibility**: Ensure old events replay correctly ## Resilience and Error Handling ### Retry Policies **Default Behavior**: Temporal retries activities forever **Configure Retry**: - Initial retry interval - Backoff coefficient (exponential backoff) - Maximum interval (cap retry delay) - Maximum attempts (eventually fail) **Non-Retryable Errors**: - Invalid input (validation failures) - Business rule violations - Permanent failures (resource not found) ### Idempotency Requirements **Why Critical** (Source: docs.temporal.io/activities): - Activities may execute multiple times - Network failures trigger retries - Duplicate execution must be safe **Implementation Strategies**: - Idempotency keys (deduplication) - Check-then-act with unique constraints - Upsert operations instead of insert - Track processed request IDs ### Activity Heartbeats **Purpose**: Detect stalled long-running activities **Pattern**: - Activity sends periodic heartbeat - Includes progress information - Timeout if no heartbeat received - Enables progress-based retry ## Best Practices ### Workflow Design 1. **Keep workflows focused** - Single responsibility per workflow 2. **Small workflows** - Use child workflows for scalability 3. **Clear boundaries** - Workflow orchestrates, activities execute 4. **Test locally** - Use time-skipping test environment ### Activity Design 1. **Idempotent operations** - Safe to retry 2. **Short-lived** - Seconds to minutes, not hours 3. **Timeout configuration** - Always set timeouts 4. **Heartbeat for long tasks** - Report progress 5. **Error handling** - Distinguish retryable vs non-retryable ### Common Pitfalls **Workflow Violations**: - Using `datetime.now()` instead of `workflow.now()` - Threading or async operations in workflow code - Calling external APIs directly from workflow - Non-deterministic logic in workflows **Activity Mistakes**: - Non-idempotent operations (can't handle retries) - Missing timeouts (activities run forever) - No error classification (retry validation errors) - Ignoring payload limits (2MB per argument) ### Operational Considerations **Monitoring**: - Workflow execution duration - Activity failure rates - Retry attempts and backoff - Pending workflow counts **Scalability**: - Horizontal scaling with workers - Task queue partitioning - Child workflow decomposition - Activity batching when appropriate ## Additional Resources **Official Documentation**: - Temporal Core Concepts: docs.temporal.io/workflows - Workflow Patterns: docs.temporal.io/evaluate/use-cases-design-patterns - Best Practices: docs.temporal.io/develop/best-practices - Saga Pattern: temporal.io/blog/saga-pattern-made-easy **Key Principles**: 1. Workflows = orchestration, Activities = external calls 2. Determinism is non-negotiable for workflows 3. Idempotency is critical for activities 4. State preservation is automatic 5. Design for failure and recovery
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

solidity-security

Master smart contract security best practices to prevent common

security
⭐1
# Solidity Security Master smart contract security best practices, vulnerability prevention, and secure Solidity development patterns. ## When to Use This Skill - Writing secure smart contracts - Auditing existing contracts for vulnerabilities - Implementing secure DeFi protocols - Preventing reentrancy, overflow, and access control issues - Optimizing gas usage while maintaining security - Preparing contracts for professional audits - Understanding common attack vectors ## Critical Vulnerabilities ### 1. Reentrancy Attacker calls back into your contract before state is updated. **Vulnerable Code:** ```solidity // VULNERABLE TO REENTRANCY contract VulnerableBank { mapping(address => uint256) public balances; function withdraw() public { uint256 amount = balances[msg.sender]; // DANGER: External call before state update (bool success, ) = msg.sender.call{value: amount}(""); require(success); balances[msg.sender] = 0; // Too late! } } ``` **Secure Pattern (Checks-Effects-Interactions):** ```solidity contract SecureBank { mapping(address => uint256) public balances; function withdraw() public { uint256 amount = balances[msg.sender]; require(amount > 0, "Insufficient balance"); // EFFECTS: Update state BEFORE external call balances[msg.sender] = 0; // INTERACTIONS: External call last (bool success, ) = msg.sender.call{value: amount}(""); require(success, "Transfer failed"); } } ``` **Alternative: ReentrancyGuard** ```solidity import "@openzeppelin/contracts/security/ReentrancyGuard.sol"; contract SecureBank is ReentrancyGuard { mapping(address => uint256) public balances; function withdraw() public nonReentrant { uint256 amount = balances[msg.sender]; require(amount > 0, "Insufficient balance"); balances[msg.sender] = 0; (bool success, ) = msg.sender.call{value: amount}(""); require(success, "Transfer failed"); } } ``` ### 2. Integer Overflow/Underflow **Vulnerable Code (Solidity < 0.8.0):** ```solidity // VULNERABLE contract VulnerableToken { mapping(address => uint256) public balances; function transfer(address to, uint256 amount) public { // No overflow check - can wrap around balances[msg.sender] -= amount; // Can underflow! balances[to] += amount; // Can overflow! } } ``` **Secure Pattern (Solidity >= 0.8.0):** ```solidity // Solidity 0.8+ has built-in overflow/underflow checks contract SecureToken { mapping(address => uint256) public balances; function transfer(address to, uint256 amount) public { // Automatically reverts on overflow/underflow balances[msg.sender] -= amount; balances[to] += amount; } } ``` **For Solidity < 0.8.0, use SafeMath:** ```solidity import "@openzeppelin/contracts/utils/math/SafeMath.sol"; contract SecureToken { using SafeMath for uint256; mapping(address => uint256) public balances; function transfer(address to, uint256 amount) public { balances[msg.sender] = balances[msg.sender].sub(amount); balances[to] = balances[to].add(amount); } } ``` ### 3. Access Control **Vulnerable Code:** ```solidity // VULNERABLE: Anyone can call critical functions contract VulnerableContract { address public owner; function withdraw(uint256 amount) public { // No access control! payable(msg.sender).transfer(amount); } } ``` **Secure Pattern:** ```solidity import "@openzeppelin/contracts/access/Ownable.sol"; contract SecureContract is Ownable { function withdraw(uint256 amount) public onlyOwner { payable(owner()).transfer(amount); } } // Or implement custom role-based access contract RoleBasedContract { mapping(address => bool) public admins; modifier onlyAdmin() { require(admins[msg.sender], "Not an admin"); _; } function criticalFunction() public onlyAdmin { // Protected function } } ``` ### 4. Front-Running **Vulnerable:** ```solidity // VULNERABLE TO FRONT-RUNNING contract VulnerableDEX { function swap(uint256 amount, uint256 minOutput) public { // Attacker sees this in mempool and front-runs uint256 output = calculateOutput(amount); require(output >= minOutput, "Slippage too high"); // Perform swap } } ``` **Mitigation:** ```solidity contract SecureDEX { mapping(bytes32 => bool) public usedCommitments; // Step 1: Commit to trade function commitTrade(bytes32 commitment) public { usedCommitments[commitment] = true; } // Step 2: Reveal trade (next block) function revealTrade( uint256 amount, uint256 minOutput, bytes32 secret ) public { bytes32 commitment = keccak256(abi.encodePacked( msg.sender, amount, minOutput, secret )); require(usedCommitments[commitment], "Invalid commitment"); // Perform swap } } ``` ## Security Best Practices ### Checks-Effects-Interactions Pattern ```solidity contract SecurePattern { mapping(address => uint256) public balances; function withdraw(uint256 amount) public { // 1. CHECKS: Validate conditions require(amount <= balances[msg.sender], "Insufficient balance"); require(amount > 0, "Amount must be positive"); // 2. EFFECTS: Update state balances[msg.sender] -= amount; // 3. INTERACTIONS: External calls last (bool success, ) = msg.sender.call{value: amount}(""); require(success, "Transfer failed"); } } ``` ### Pull Over Push Pattern ```solidity // Prefer this (pull) contract SecurePayment { mapping(address => uint256) public pendingWithdrawals; function recordPayment(address recipient, uint256 amount) internal { pendingWithdrawals[recipient] += amount; } function withdraw() public { uint256 amount = pendingWithdrawals[msg.sender]; require(amount > 0, "Nothing to withdraw"); pendingWithdrawals[msg.sender] = 0; payable(msg.sender).transfer(amount); } } // Over this (push) contract RiskyPayment { function distributePayments(address[] memory recipients, uint256[] memory amounts) public { for (uint i = 0; i < recipients.length; i++) { // If any transfer fails, entire batch fails payable(recipients[i]).transfer(amounts[i]); } } } ``` ### Input Validation ```solidity contract SecureContract { function transfer(address to, uint256 amount) public { // Validate inputs require(to != address(0), "Invalid recipient"); require(to != address(this), "Cannot send to contract"); require(amount > 0, "Amount must be positive"); require(amount <= balances[msg.sender], "Insufficient balance"); // Proceed with transfer balances[msg.sender] -= amount; balances[to] += amount; } } ``` ### Emergency Stop (Circuit Breaker) ```solidity import "@openzeppelin/contracts/security/Pausable.sol"; contract EmergencyStop is Pausable, Ownable { function criticalFunction() public whenNotPaused { // Function logic } function emergencyStop() public onlyOwner { _pause(); } function resume() public onlyOwner { _unpause(); } } ``` ## Gas Optimization ### Use `uint256` Instead of Smaller Types ```solidity // More gas efficient contract GasEfficient { uint256 public value; // Optimal function set(uint256 _value) public { value = _value; } } // Less efficient contract GasInefficient { uint8 public value; // Still uses 256-bit slot function set(uint8 _value) public { value = _value; // Extra gas for type conversion } } ``` ### Pack Storage Variables ```solidity // Gas efficient (3 variables in 1 slot) contract PackedStorage { uint128 public a; // Slot 0 uint64 public b; // Slot 0 uint64 public c; // Slot 0 uint256 public d; // Slot 1 } // Gas inefficient (each variable in separate slot) contract UnpackedStorage { uint256 public a; // Slot 0 uint256 public b; // Slot 1 uint256 public c; // Slot 2 uint256 public d; // Slot 3 } ``` ### Use `calldata` Instead of `memory` for Function Arguments ```solidity contract GasOptimized { // More gas efficient function processData(uint256[] calldata data) public pure returns (uint256) { return data[0]; } // Less efficient function processDataMemory(uint256[] memory data) public pure returns (uint256) { return data[0]; } } ``` ### Use Events for Data Storage (When Appropriate) ```solidity contract EventStorage { // Emitting events is cheaper than storage event DataStored(address indexed user, uint256 indexed id, bytes data); function storeData(uint256 id, bytes calldata data) public { emit DataStored(msg.sender, id, data); // Don't store in contract storage unless needed } } ``` ## Common Vulnerabilities Checklist ```solidity // Security Checklist Contract contract SecurityChecklist { /** * [ ] Reentrancy protection (ReentrancyGuard or CEI pattern) * [ ] Integer overflow/underflow (Solidity 0.8+ or SafeMath) * [ ] Access control (Ownable, roles, modifiers) * [ ] Input validation (require statements) * [ ] Front-running mitigation (commit-reveal if applicable) * [ ] Gas optimization (packed storage, calldata) * [ ] Emergency stop mechanism (Pausable) * [ ] Pull over push pattern for payments * [ ] No delegatecall to untrusted contracts * [ ] No tx.origin for authentication (use msg.sender) * [ ] Proper event emission * [ ] External calls at end of function * [ ] Check return values of external calls * [ ] No hardcoded addresses * [ ] Upgrade mechanism (if proxy pattern) */ } ``` ## Testing for Security ```javascript // Hardhat test example const { expect } = require("chai"); const { ethers } = require("hardhat"); describe("Security Tests", function () { it("Should prevent reentrancy attack", async function () { const [attacker] = await ethers.getSigners(); const VictimBank = await ethers.getContractFactory("SecureBank"); const bank = await VictimBank.deploy(); const Attacker = await ethers.getContractFactory("ReentrancyAttacker"); const attackerContract = await Attacker.deploy(bank.address); // Deposit funds await bank.deposit({ value: ethers.utils.parseEther("10") }); // Attempt reentrancy attack await expect( attackerContract.attack({ value: ethers.utils.parseEther("1") }), ).to.be.revertedWith("ReentrancyGuard: reentrant call"); }); it("Should prevent integer overflow", async function () { const Token = await ethers.getContractFactory("SecureToken"); const token = await Token.deploy(); // Attempt overflow await expect(token.transfer(attacker.address, ethers.constants.MaxUint256)) .to.be.reverted; }); it("Should enforce access control", async function () { const [owner, attacker] = await ethers.getSigners(); const Contract = await ethers.getContractFactory("SecureContract"); const contract = await Contract.deploy(); // Attempt unauthorized withdrawal await expect(contract.connect(attacker).withdraw(100)).to.be.revertedWith( "Ownable: caller is not the owner", ); }); }); ``` ## Audit Preparation ```solidity contract WellDocumentedContract { /** * @title Well Documented Contract * @dev Example of proper documentation for audits * @notice This contract handles user deposits and withdrawals */ /// @notice Mapping of user balances mapping(address => uint256) public balances; /** * @dev Deposits ETH into the contract * @notice Anyone can deposit funds */ function deposit() public payable { require(msg.value > 0, "Must send ETH"); balances[msg.sender] += msg.value; } /** * @dev Withdraws user's balance * @notice Follows CEI pattern to prevent reentrancy * @param amount Amount to withdraw in wei */ function withdraw(uint256 amount) public { // CHECKS require(amount <= balances[msg.sender], "Insufficient balance"); // EFFECTS balances[msg.sender] -= amount; // INTERACTIONS (bool success, ) = msg.sender.call{value: amount}(""); require(success, "Transfer failed"); } } ``` ## Resources - **references/reentrancy.md**: Comprehensive reentrancy prevention - **references/access-control.md**: Role-based access patterns - **references/overflow-underflow.md**: SafeMath and integer safety - **references/gas-optimization.md**: Gas saving techniques - **references/vulnerability-patterns.md**: Common vulnerability catalog - **assets/solidity-contracts-templates.sol**: Secure contract templates - **assets/security-checklist.md**: Pre-audit checklist - **scripts/analyze-contract.sh**: Static analysis tools ## Tools for Security Analysis - **Slither**: Static analysis tool - **Mythril**: Security analysis tool - **Echidna**: Fuzzing tool - **Manticore**: Symbolic execution - **Securify**: Automated security scanner ## Common Pitfalls 1. **Using `tx.origin` for Authentication**: Use `msg.sender` instead 2. **Unchecked External Calls**: Always check return values 3. **Delegatecall to Untrusted Contracts**: Can hijack your contract 4. **Floating Pragma**: Pin to specific Solidity version 5. **Missing Events**: Emit events for state changes 6. **Excessive Gas in Loops**: Can hit block gas limit 7. **No Upgrade Path**: Consider proxy patterns if upgrades needed
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

web3-testing

Test smart contracts comprehensively using Hardhat and Foundry with

coding
⭐1
# Web3 Smart Contract Testing Master comprehensive testing strategies for smart contracts using Hardhat, Foundry, and advanced testing patterns. ## When to Use This Skill - Writing unit tests for smart contracts - Setting up integration test suites - Performing gas optimization testing - Fuzzing for edge cases - Forking mainnet for realistic testing - Automating test coverage reporting - Verifying contracts on Etherscan ## Hardhat Testing Setup ```javascript // hardhat.config.js require("@nomicfoundation/hardhat-toolbox"); require("@nomiclabs/hardhat-etherscan"); require("hardhat-gas-reporter"); require("solidity-coverage"); module.exports = { solidity: { version: "0.8.19", settings: { optimizer: { enabled: true, runs: 200, }, }, }, networks: { hardhat: { forking: { url: process.env.MAINNET_RPC_URL, blockNumber: 15000000, }, }, goerli: { url: process.env.GOERLI_RPC_URL, accounts: [process.env.PRIVATE_KEY], }, }, gasReporter: { enabled: true, currency: "USD", coinmarketcap: process.env.COINMARKETCAP_API_KEY, }, etherscan: { apiKey: process.env.ETHERSCAN_API_KEY, }, }; ``` ## Unit Testing Patterns ```javascript const { expect } = require("chai"); const { ethers } = require("hardhat"); const { loadFixture, time, } = require("@nomicfoundation/hardhat-network-helpers"); describe("Token Contract", function () { // Fixture for test setup async function deployTokenFixture() { const [owner, addr1, addr2] = await ethers.getSigners(); const Token = await ethers.getContractFactory("Token"); const token = await Token.deploy(); return { token, owner, addr1, addr2 }; } describe("Deployment", function () { it("Should set the right owner", async function () { const { token, owner } = await loadFixture(deployTokenFixture); expect(await token.owner()).to.equal(owner.address); }); it("Should assign total supply to owner", async function () { const { token, owner } = await loadFixture(deployTokenFixture); const ownerBalance = await token.balanceOf(owner.address); expect(await token.totalSupply()).to.equal(ownerBalance); }); }); describe("Transactions", function () { it("Should transfer tokens between accounts", async function () { const { token, owner, addr1 } = await loadFixture(deployTokenFixture); await expect(token.transfer(addr1.address, 50)).to.changeTokenBalances( token, [owner, addr1], [-50, 50], ); }); it("Should fail if sender doesn't have enough tokens", async function () { const { token, addr1 } = await loadFixture(deployTokenFixture); const initialBalance = await token.balanceOf(addr1.address); await expect( token.connect(addr1).transfer(owner.address, 1), ).to.be.revertedWith("Insufficient balance"); }); it("Should emit Transfer event", async function () { const { token, owner, addr1 } = await loadFixture(deployTokenFixture); await expect(token.transfer(addr1.address, 50)) .to.emit(token, "Transfer") .withArgs(owner.address, addr1.address, 50); }); }); describe("Time-based tests", function () { it("Should handle time-locked operations", async function () { const { token } = await loadFixture(deployTokenFixture); // Increase time by 1 day await time.increase(86400); // Test time-dependent functionality }); }); describe("Gas optimization", function () { it("Should use gas efficiently", async function () { const { token } = await loadFixture(deployTokenFixture); const tx = await token.transfer(addr1.address, 100); const receipt = await tx.wait(); expect(receipt.gasUsed).to.be.lessThan(50000); }); }); }); ``` ## Foundry Testing (Forge) ```solidity // SPDX-License-Identifier: MIT pragma solidity ^0.8.0; import "forge-std/Test.sol"; import "../src/Token.sol"; contract TokenTest is Test { Token token; address owner = address(1); address user1 = address(2); address user2 = address(3); function setUp() public { vm.prank(owner); token = new Token(); } function testInitialSupply() public { assertEq(token.totalSupply(), 1000000 * 10**18); } function testTransfer() public { vm.prank(owner); token.transfer(user1, 100); assertEq(token.balanceOf(user1), 100); assertEq(token.balanceOf(owner), token.totalSupply() - 100); } function testFailTransferInsufficientBalance() public { vm.prank(user1); token.transfer(user2, 100); // Should fail } function testCannotTransferToZeroAddress() public { vm.prank(owner); vm.expectRevert("Invalid recipient"); token.transfer(address(0), 100); } // Fuzzing test function testFuzzTransfer(uint256 amount) public { vm.assume(amount > 0 && amount <= token.totalSupply()); vm.prank(owner); token.transfer(user1, amount); assertEq(token.balanceOf(user1), amount); } // Test with cheatcodes function testDealAndPrank() public { // Give ETH to address vm.deal(user1, 10 ether); // Impersonate address vm.prank(user1); // Test functionality assertEq(user1.balance, 10 ether); } // Mainnet fork test function testForkMainnet() public { vm.createSelectFork("https://eth-mainnet.alchemyapi.io/v2/..."); // Interact with mainnet contracts address dai = 0x6B175474E89094C44Da98b954EedeAC495271d0F; assertEq(IERC20(dai).symbol(), "DAI"); } } ``` ## Advanced Testing Patterns ### Snapshot and Revert ```javascript describe("Complex State Changes", function () { let snapshotId; beforeEach(async function () { snapshotId = await network.provider.send("evm_snapshot"); }); afterEach(async function () { await network.provider.send("evm_revert", [snapshotId]); }); it("Test 1", async function () { // Make state changes }); it("Test 2", async function () { // State reverted, clean slate }); }); ``` ### Mainnet Forking ```javascript describe("Mainnet Fork Tests", function () { let uniswapRouter, dai, usdc; before(async function () { await network.provider.request({ method: "hardhat_reset", params: [ { forking: { jsonRpcUrl: process.env.MAINNET_RPC_URL, blockNumber: 15000000, }, }, ], }); // Connect to existing mainnet contracts uniswapRouter = await ethers.getContractAt( "IUniswapV2Router", "0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D", ); dai = await ethers.getContractAt( "IERC20", "0x6B175474E89094C44Da98b954EedeAC495271d0F", ); }); it("Should swap on Uniswap", async function () { // Test with real Uniswap contracts }); }); ``` ### Impersonating Accounts ```javascript it("Should impersonate whale account", async function () { const whaleAddress = "0x..."; await network.provider.request({ method: "hardhat_impersonateAccount", params: [whaleAddress], }); const whale = await ethers.getSigner(whaleAddress); // Use whale's tokens await dai .connect(whale) .transfer(addr1.address, ethers.utils.parseEther("1000")); }); ``` ## Gas Optimization Testing ```javascript const { expect } = require("chai"); describe("Gas Optimization", function () { it("Compare gas usage between implementations", async function () { const Implementation1 = await ethers.getContractFactory("OptimizedContract"); const Implementation2 = await ethers.getContractFactory( "UnoptimizedContract", ); const contract1 = await Implementation1.deploy(); const contract2 = await Implementation2.deploy(); const tx1 = await contract1.doSomething(); const receipt1 = await tx1.wait(); const tx2 = await contract2.doSomething(); const receipt2 = await tx2.wait(); console.log("Optimized gas:", receipt1.gasUsed.toString()); console.log("Unoptimized gas:", receipt2.gasUsed.toString()); expect(receipt1.gasUsed).to.be.lessThan(receipt2.gasUsed); }); }); ``` ## Coverage Reporting ```bash # Generate coverage report npx hardhat coverage # Output shows: # File | % Stmts | % Branch | % Funcs | % Lines | # -------------------|---------|----------|---------|---------| # contracts/Token.sol | 100 | 90 | 100 | 95 | ``` ## Contract Verification ```javascript // Verify on Etherscan await hre.run("verify:verify", { address: contractAddress, constructorArguments: [arg1, arg2], }); ``` ```bash # Or via CLI npx hardhat verify --network mainnet CONTRACT_ADDRESS "Constructor arg1" "arg2" ``` ## CI/CD Integration ```yaml # .github/workflows/test.yml name: Tests on: [push, pull_request] jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - uses: actions/setup-node@v2 with: node-version: "16" - run: npm install - run: npx hardhat compile - run: npx hardhat test - run: npx hardhat coverage - name: Upload coverage to Codecov uses: codecov/codecov-action@v2 ``` ## Resources - **references/hardhat-setup.md**: Hardhat configuration guide - **references/foundry-setup.md**: Foundry testing framework - **references/test-patterns.md**: Testing best practices - **references/mainnet-forking.md**: Fork testing strategies - **references/contract-verification.md**: Etherscan verification - **assets/hardhat-config.js**: Complete Hardhat configuration - **assets/test-suite.js**: Comprehensive test examples - **assets/foundry.toml**: Foundry configuration - **scripts/test-contract.sh**: Automated testing script ## Best Practices 1. **Test Coverage**: Aim for >90% coverage 2. **Edge Cases**: Test boundary conditions 3. **Gas Limits**: Verify functions don't hit block gas limit 4. **Reentrancy**: Test for reentrancy vulnerabilities 5. **Access Control**: Test unauthorized access attempts 6. **Events**: Verify event emissions 7. **Fixtures**: Use fixtures to avoid code duplication 8. **Mainnet Fork**: Test with real contracts 9. **Fuzzing**: Use property-based testing 10. **CI/CD**: Automate testing on every commit
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šŸ‘ļø0
šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

auth-implementation-patterns

Master authentication and authorization patterns including JWT,

coding
⭐1
# Authentication & Authorization Implementation Patterns Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices. ## When to Use This Skill - Implementing user authentication systems - Securing REST or GraphQL APIs - Adding OAuth2/social login - Implementing role-based access control (RBAC) - Designing session management - Migrating authentication systems - Debugging auth issues - Implementing SSO or multi-tenancy ## Core Concepts ### 1. Authentication vs Authorization **Authentication (AuthN)**: Who are you? - Verifying identity (username/password, OAuth, biometrics) - Issuing credentials (sessions, tokens) - Managing login/logout **Authorization (AuthZ)**: What can you do? - Permission checking - Role-based access control (RBAC) - Resource ownership validation - Policy enforcement ### 2. Authentication Strategies **Session-Based:** - Server stores session state - Session ID in cookie - Traditional, simple, stateful **Token-Based (JWT):** - Stateless, self-contained - Scales horizontally - Can store claims **OAuth2/OpenID Connect:** - Delegate authentication - Social login (Google, GitHub) - Enterprise SSO ## JWT Authentication ### Pattern 1: JWT Implementation ```typescript // JWT structure: header.payload.signature import jwt from "jsonwebtoken"; import { Request, Response, NextFunction } from "express"; interface JWTPayload { userId: string; email: string; role: string; iat: number; exp: number; } // Generate JWT function generateTokens(userId: string, email: string, role: string) { const accessToken = jwt.sign( { userId, email, role }, process.env.JWT_SECRET!, { expiresIn: "15m" }, // Short-lived ); const refreshToken = jwt.sign( { userId }, process.env.JWT_REFRESH_SECRET!, { expiresIn: "7d" }, // Long-lived ); return { accessToken, refreshToken }; } // Verify JWT function verifyToken(token: string): JWTPayload { try { return jwt.verify(token, process.env.JWT_SECRET!) as JWTPayload; } catch (error) { if (error instanceof jwt.TokenExpiredError) { throw new Error("Token expired"); } if (error instanceof jwt.JsonWebTokenError) { throw new Error("Invalid token"); } throw error; } } // Middleware function authenticate(req: Request, res: Response, next: NextFunction) { const authHeader = req.headers.authorization; if (!authHeader?.startsWith("Bearer ")) { return res.status(401).json({ error: "No token provided" }); } const token = authHeader.substring(7); try { const payload = verifyToken(token); req.user = payload; // Attach user to request next(); } catch (error) { return res.status(401).json({ error: "Invalid token" }); } } // Usage app.get("/api/profile", authenticate, (req, res) => { res.json({ user: req.user }); }); ``` ### Pattern 2: Refresh Token Flow ```typescript interface StoredRefreshToken { token: string; userId: string; expiresAt: Date; createdAt: Date; } class RefreshTokenService { // Store refresh token in database async storeRefreshToken(userId: string, refreshToken: string) { const expiresAt = new Date(Date.now() + 7 * 24 * 60 * 60 * 1000); await db.refreshTokens.create({ token: await hash(refreshToken), // Hash before storing userId, expiresAt, }); } // Refresh access token async refreshAccessToken(refreshToken: string) { // Verify refresh token let payload; try { payload = jwt.verify(refreshToken, process.env.JWT_REFRESH_SECRET!) as { userId: string; }; } catch { throw new Error("Invalid refresh token"); } // Check if token exists in database const storedToken = await db.refreshTokens.findOne({ where: { token: await hash(refreshToken), userId: payload.userId, expiresAt: { $gt: new Date() }, }, }); if (!storedToken) { throw new Error("Refresh token not found or expired"); } // Get user const user = await db.users.findById(payload.userId); if (!user) { throw new Error("User not found"); } // Generate new access token const accessToken = jwt.sign( { userId: user.id, email: user.email, role: user.role }, process.env.JWT_SECRET!, { expiresIn: "15m" }, ); return { accessToken }; } // Revoke refresh token (logout) async revokeRefreshToken(refreshToken: string) { await db.refreshTokens.deleteOne({ token: await hash(refreshToken), }); } // Revoke all user tokens (logout all devices) async revokeAllUserTokens(userId: string) { await db.refreshTokens.deleteMany({ userId }); } } // API endpoints app.post("/api/auth/refresh", async (req, res) => { const { refreshToken } = req.body; try { const { accessToken } = await refreshTokenService.refreshAccessToken(refreshToken); res.json({ accessToken }); } catch (error) { res.status(401).json({ error: "Invalid refresh token" }); } }); app.post("/api/auth/logout", authenticate, async (req, res) => { const { refreshToken } = req.body; await refreshTokenService.revokeRefreshToken(refreshToken); res.json({ message: "Logged out successfully" }); }); ``` ## Session-Based Authentication ### Pattern 1: Express Session ```typescript import session from "express-session"; import RedisStore from "connect-redis"; import { createClient } from "redis"; // Setup Redis for session storage const redisClient = createClient({ url: process.env.REDIS_URL, }); await redisClient.connect(); app.use( session({ store: new RedisStore({ client: redisClient }), secret: process.env.SESSION_SECRET!, resave: false, saveUninitialized: false, cookie: { secure: process.env.NODE_ENV === "production", // HTTPS only httpOnly: true, // No JavaScript access maxAge: 24 * 60 * 60 * 1000, // 24 hours sameSite: "strict", // CSRF protection }, }), ); // Login app.post("/api/auth/login", async (req, res) => { const { email, password } = req.body; const user = await db.users.findOne({ email }); if (!user || !(await verifyPassword(password, user.passwordHash))) { return res.status(401).json({ error: "Invalid credentials" }); } // Store user in session req.session.userId = user.id; req.session.role = user.role; res.json({ user: { id: user.id, email: user.email, role: user.role } }); }); // Session middleware function requireAuth(req: Request, res: Response, next: NextFunction) { if (!req.session.userId) { return res.status(401).json({ error: "Not authenticated" }); } next(); } // Protected route app.get("/api/profile", requireAuth, async (req, res) => { const user = await db.users.findById(req.session.userId); res.json({ user }); }); // Logout app.post("/api/auth/logout", (req, res) => { req.session.destroy((err) => { if (err) { return res.status(500).json({ error: "Logout failed" }); } res.clearCookie("connect.sid"); res.json({ message: "Logged out successfully" }); }); }); ``` ## OAuth2 / Social Login ### Pattern 1: OAuth2 with Passport.js ```typescript import passport from "passport"; import { Strategy as GoogleStrategy } from "passport-google-oauth20"; import { Strategy as GitHubStrategy } from "passport-github2"; // Google OAuth passport.use( new GoogleStrategy( { clientID: process.env.GOOGLE_CLIENT_ID!, clientSecret: process.env.GOOGLE_CLIENT_SECRET!, callbackURL: "/api/auth/google/callback", }, async (accessToken, refreshToken, profile, done) => { try { // Find or create user let user = await db.users.findOne({ googleId: profile.id, }); if (!user) { user = await db.users.create({ googleId: profile.id, email: profile.emails?.[0]?.value, name: profile.displayName, avatar: profile.photos?.[0]?.value, }); } return done(null, user); } catch (error) { return done(error, undefined); } }, ), ); // Routes app.get( "/api/auth/google", passport.authenticate("google", { scope: ["profile", "email"], }), ); app.get( "/api/auth/google/callback", passport.authenticate("google", { session: false }), (req, res) => { // Generate JWT const tokens = generateTokens(req.user.id, req.user.email, req.user.role); // Redirect to frontend with token res.redirect( `${process.env.FRONTEND_URL}/auth/callback?token=${tokens.accessToken}`, ); }, ); ``` ## Authorization Patterns ### Pattern 1: Role-Based Access Control (RBAC) ```typescript enum Role { USER = "user", MODERATOR = "moderator", ADMIN = "admin", } const roleHierarchy: Record<Role, Role[]> = { [Role.ADMIN]: [Role.ADMIN, Role.MODERATOR, Role.USER], [Role.MODERATOR]: [Role.MODERATOR, Role.USER], [Role.USER]: [Role.USER], }; function hasRole(userRole: Role, requiredRole: Role): boolean { return roleHierarchy[userRole].includes(requiredRole); } // Middleware function requireRole(...roles: Role[]) { return (req: Request, res: Response, next: NextFunction) => { if (!req.user) { return res.status(401).json({ error: "Not authenticated" }); } if (!roles.some((role) => hasRole(req.user.role, role))) { return res.status(403).json({ error: "Insufficient permissions" }); } next(); }; } // Usage app.delete( "/api/users/:id", authenticate, requireRole(Role.ADMIN), async (req, res) => { // Only admins can delete users await db.users.delete(req.params.id); res.json({ message: "User deleted" }); }, ); ``` ### Pattern 2: Permission-Based Access Control ```typescript enum Permission { READ_USERS = "read:users", WRITE_USERS = "write:users", DELETE_USERS = "delete:users", READ_POSTS = "read:posts", WRITE_POSTS = "write:posts", } const rolePermissions: Record<Role, Permission[]> = { [Role.USER]: [Permission.READ_POSTS, Permission.WRITE_POSTS], [Role.MODERATOR]: [ Permission.READ_POSTS, Permission.WRITE_POSTS, Permission.READ_USERS, ], [Role.ADMIN]: Object.values(Permission), }; function hasPermission(userRole: Role, permission: Permission): boolean { return rolePermissions[userRole]?.includes(permission) ?? false; } function requirePermission(...permissions: Permission[]) { return (req: Request, res: Response, next: NextFunction) => { if (!req.user) { return res.status(401).json({ error: "Not authenticated" }); } const hasAllPermissions = permissions.every((permission) => hasPermission(req.user.role, permission), ); if (!hasAllPermissions) { return res.status(403).json({ error: "Insufficient permissions" }); } next(); }; } // Usage app.get( "/api/users", authenticate, requirePermission(Permission.READ_USERS), async (req, res) => { const users = await db.users.findAll(); res.json({ users }); }, ); ``` ### Pattern 3: Resource Ownership ```typescript // Check if user owns resource async function requireOwnership( resourceType: "post" | "comment", resourceIdParam: string = "id", ) { return async (req: Request, res: Response, next: NextFunction) => { if (!req.user) { return res.status(401).json({ error: "Not authenticated" }); } const resourceId = req.params[resourceIdParam]; // Admins can access anything if (req.user.role === Role.ADMIN) { return next(); } // Check ownership let resource; if (resourceType === "post") { resource = await db.posts.findById(resourceId); } else if (resourceType === "comment") { resource = await db.comments.findById(resourceId); } if (!resource) { return res.status(404).json({ error: "Resource not found" }); } if (resource.userId !== req.user.userId) { return res.status(403).json({ error: "Not authorized" }); } next(); }; } // Usage app.put( "/api/posts/:id", authenticate, requireOwnership("post"), async (req, res) => { // User can only update their own posts const post = await db.posts.update(req.params.id, req.body); res.json({ post }); }, ); ``` ## Security Best Practices ### Pattern 1: Password Security ```typescript import bcrypt from "bcrypt"; import { z } from "zod"; // Password validation schema const passwordSchema = z .string() .min(12, "Password must be at least 12 characters") .regex(/[A-Z]/, "Password must contain uppercase letter") .regex(/[a-z]/, "Password must contain lowercase letter") .regex(/[0-9]/, "Password must contain number") .regex(/[^A-Za-z0-9]/, "Password must contain special character"); // Hash password async function hashPassword(password: string): Promise<string> { const saltRounds = 12; // 2^12 iterations return bcrypt.hash(password, saltRounds); } // Verify password async function verifyPassword( password: string, hash: string, ): Promise<boolean> { return bcrypt.compare(password, hash); } // Registration with password validation app.post("/api/auth/register", async (req, res) => { try { const { email, password } = req.body; // Validate password passwordSchema.parse(password); // Check if user exists const existingUser = await db.users.findOne({ email }); if (existingUser) { return res.status(400).json({ error: "Email already registered" }); } // Hash password const passwordHash = await hashPassword(password); // Create user const user = await db.users.create({ email, passwordHash, }); // Generate tokens const tokens = generateTokens(user.id, user.email, user.role); res.status(201).json({ user: { id: user.id, email: user.email }, ...tokens, }); } catch (error) { if (error instanceof z.ZodError) { return res.status(400).json({ error: error.errors[0].message }); } res.status(500).json({ error: "Registration failed" }); } }); ``` ### Pattern 2: Rate Limiting ```typescript import rateLimit from "express-rate-limit"; import RedisStore from "rate-limit-redis"; // Login rate limiter const loginLimiter = rateLimit({ store: new RedisStore({ client: redisClient }), windowMs: 15 * 60 * 1000, // 15 minutes max: 5, // 5 attempts message: "Too many login attempts, please try again later", standardHeaders: true, legacyHeaders: false, }); // API rate limiter const apiLimiter = rateLimit({ windowMs: 60 * 1000, // 1 minute max: 100, // 100 requests per minute standardHeaders: true, }); // Apply to routes app.post("/api/auth/login", loginLimiter, async (req, res) => { // Login logic }); app.use("/api/", apiLimiter); ``` ## Best Practices 1. **Never Store Plain Passwords**: Always hash with bcrypt/argon2 2. **Use HTTPS**: Encrypt data in transit 3. **Short-Lived Access Tokens**: 15-30 minutes max 4. **Secure Cookies**: httpOnly, secure, sameSite flags 5. **Validate All Input**: Email format, password strength 6. **Rate Limit Auth Endpoints**: Prevent brute force attacks 7. **Implement CSRF Protection**: For session-based auth 8. **Rotate Secrets Regularly**: JWT secrets, session secrets 9. **Log Security Events**: Login attempts, failed auth 10. **Use MFA When Possible**: Extra security layer ## Common Pitfalls - **Weak Passwords**: Enforce strong password policies - **JWT in localStorage**: Vulnerable to XSS, use httpOnly cookies - **No Token Expiration**: Tokens should expire - **Client-Side Auth Checks Only**: Always validate server-side - **Insecure Password Reset**: Use secure tokens with expiration - **No Rate Limiting**: Vulnerable to brute force - **Trusting Client Data**: Always validate on server ## Resources - **references/jwt-best-practices.md**: JWT implementation guide - **references/oauth2-flows.md**: OAuth2 flow diagrams and examples - **references/session-security.md**: Secure session management - **assets/auth-security-checklist.md**: Security review checklist - **assets/password-policy-template.md**: Password requirements template - **scripts/token-validator.ts**: JWT validation utility
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

debugging-strategies

Master systematic debugging techniques, profiling tools, and root

coding
⭐1
# Debugging Strategies Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches. ## When to Use This Skill - Tracking down elusive bugs - Investigating performance issues - Understanding unfamiliar codebases - Debugging production issues - Analyzing crash dumps and stack traces - Profiling application performance - Investigating memory leaks - Debugging distributed systems ## Core Principles ### 1. The Scientific Method **1. Observe**: What's the actual behavior? **2. Hypothesize**: What could be causing it? **3. Experiment**: Test your hypothesis **4. Analyze**: Did it prove/disprove your theory? **5. Repeat**: Until you find the root cause ### 2. Debugging Mindset **Don't Assume:** - "It can't be X" - Yes it can - "I didn't change Y" - Check anyway - "It works on my machine" - Find out why **Do:** - Reproduce consistently - Isolate the problem - Keep detailed notes - Question everything - Take breaks when stuck ### 3. Rubber Duck Debugging Explain your code and problem out loud (to a rubber duck, colleague, or yourself). Often reveals the issue. ## Systematic Debugging Process ### Phase 1: Reproduce ```markdown ## Reproduction Checklist 1. **Can you reproduce it?** - Always? Sometimes? Randomly? - Specific conditions needed? - Can others reproduce it? 2. **Create minimal reproduction** - Simplify to smallest example - Remove unrelated code - Isolate the problem 3. **Document steps** - Write down exact steps - Note environment details - Capture error messages ``` ### Phase 2: Gather Information ```markdown ## Information Collection 1. **Error Messages** - Full stack trace - Error codes - Console/log output 2. **Environment** - OS version - Language/runtime version - Dependencies versions - Environment variables 3. **Recent Changes** - Git history - Deployment timeline - Configuration changes 4. **Scope** - Affects all users or specific ones? - All browsers or specific ones? - Production only or also dev? ``` ### Phase 3: Form Hypothesis ```markdown ## Hypothesis Formation Based on gathered info, ask: 1. **What changed?** - Recent code changes - Dependency updates - Infrastructure changes 2. **What's different?** - Working vs broken environment - Working vs broken user - Before vs after 3. **Where could this fail?** - Input validation - Business logic - Data layer - External services ``` ### Phase 4: Test & Verify ```markdown ## Testing Strategies 1. **Binary Search** - Comment out half the code - Narrow down problematic section - Repeat until found 2. **Add Logging** - Strategic console.log/print - Track variable values - Trace execution flow 3. **Isolate Components** - Test each piece separately - Mock dependencies - Remove complexity 4. **Compare Working vs Broken** - Diff configurations - Diff environments - Diff data ``` ## Debugging Tools ### JavaScript/TypeScript Debugging ```typescript // Chrome DevTools Debugger function processOrder(order: Order) { debugger; // Execution pauses here const total = calculateTotal(order); console.log("Total:", total); // Conditional breakpoint if (order.items.length > 10) { debugger; // Only breaks if condition true } return total; } // Console debugging techniques console.log("Value:", value); // Basic console.table(arrayOfObjects); // Table format console.time("operation"); /* code */ console.timeEnd("operation"); // Timing console.trace(); // Stack trace console.assert(value > 0, "Value must be positive"); // Assertion // Performance profiling performance.mark("start-operation"); // ... operation code performance.mark("end-operation"); performance.measure("operation", "start-operation", "end-operation"); console.log(performance.getEntriesByType("measure")); ``` **VS Code Debugger Configuration:** ```json // .vscode/launch.json { "version": "0.2.0", "configurations": [ { "type": "node", "request": "launch", "name": "Debug Program", "program": "${workspaceFolder}/src/index.ts", "preLaunchTask": "tsc: build - tsconfig.json", "outFiles": ["${workspaceFolder}/dist/**/*.js"], "skipFiles": ["<node_internals>/**"] }, { "type": "node", "request": "launch", "name": "Debug Tests", "program": "${workspaceFolder}/node_modules/jest/bin/jest", "args": ["--runInBand", "--no-cache"], "console": "integratedTerminal" } ] } ``` ### Python Debugging ```python # Built-in debugger (pdb) import pdb def calculate_total(items): total = 0 pdb.set_trace() # Debugger starts here for item in items: total += item.price * item.quantity return total # Breakpoint (Python 3.7+) def process_order(order): breakpoint() # More convenient than pdb.set_trace() # ... code # Post-mortem debugging try: risky_operation() except Exception: import pdb pdb.post_mortem() # Debug at exception point # IPython debugging (ipdb) from ipdb import set_trace set_trace() # Better interface than pdb # Logging for debugging import logging logging.basicConfig(level=logging.DEBUG) logger = logging.getLogger(__name__) def fetch_user(user_id): logger.debug(f'Fetching user: {user_id}') user = db.query(User).get(user_id) logger.debug(f'Found user: {user}') return user # Profile performance import cProfile import pstats cProfile.run('slow_function()', 'profile_stats') stats = pstats.Stats('profile_stats') stats.sort_stats('cumulative') stats.print_stats(10) # Top 10 slowest ``` ### Go Debugging ```go // Delve debugger // Install: go install github.com/go-delve/delve/cmd/dlv@latest // Run: dlv debug main.go import ( "fmt" "runtime" "runtime/debug" ) // Print stack trace func debugStack() { debug.PrintStack() } // Panic recovery with debugging func processRequest() { defer func() { if r := recover(); r != nil { fmt.Println("Panic:", r) debug.PrintStack() } }() // ... code that might panic } // Memory profiling import _ "net/http/pprof" // Visit http://localhost:6060/debug/pprof/ // CPU profiling import ( "os" "runtime/pprof" ) f, _ := os.Create("cpu.prof") pprof.StartCPUProfile(f) defer pprof.StopCPUProfile() // ... code to profile ``` ## Advanced Debugging Techniques ### Technique 1: Binary Search Debugging ```bash # Git bisect for finding regression git bisect start git bisect bad # Current commit is bad git bisect good v1.0.0 # v1.0.0 was good # Git checks out middle commit # Test it, then: git bisect good # if it works git bisect bad # if it's broken # Continue until bug found git bisect reset # when done ``` ### Technique 2: Differential Debugging Compare working vs broken: ```markdown ## What's Different? | Aspect | Working | Broken | | ------------ | ----------- | -------------- | | Environment | Development | Production | | Node version | 18.16.0 | 18.15.0 | | Data | Empty DB | 1M records | | User | Admin | Regular user | | Browser | Chrome | Safari | | Time | During day | After midnight | Hypothesis: Time-based issue? Check timezone handling. ``` ### Technique 3: Trace Debugging ```typescript // Function call tracing function trace( target: any, propertyKey: string, descriptor: PropertyDescriptor, ) { const originalMethod = descriptor.value; descriptor.value = function (...args: any[]) { console.log(`Calling ${propertyKey} with args:`, args); const result = originalMethod.apply(this, args); console.log(`${propertyKey} returned:`, result); return result; }; return descriptor; } class OrderService { @trace calculateTotal(items: Item[]): number { return items.reduce((sum, item) => sum + item.price, 0); } } ``` ### Technique 4: Memory Leak Detection ```typescript // Chrome DevTools Memory Profiler // 1. Take heap snapshot // 2. Perform action // 3. Take another snapshot // 4. Compare snapshots // Node.js memory debugging if (process.memoryUsage().heapUsed > 500 * 1024 * 1024) { console.warn("High memory usage:", process.memoryUsage()); // Generate heap dump require("v8").writeHeapSnapshot(); } // Find memory leaks in tests let beforeMemory: number; beforeEach(() => { beforeMemory = process.memoryUsage().heapUsed; }); afterEach(() => { const afterMemory = process.memoryUsage().heapUsed; const diff = afterMemory - beforeMemory; if (diff > 10 * 1024 * 1024) { // 10MB threshold console.warn(`Possible memory leak: ${diff / 1024 / 1024}MB`); } }); ``` ## Debugging Patterns by Issue Type ### Pattern 1: Intermittent Bugs ```markdown ## Strategies for Flaky Bugs 1. **Add extensive logging** - Log timing information - Log all state transitions - Log external interactions 2. **Look for race conditions** - Concurrent access to shared state - Async operations completing out of order - Missing synchronization 3. **Check timing dependencies** - setTimeout/setInterval - Promise resolution order - Animation frame timing 4. **Stress test** - Run many times - Vary timing - Simulate load ``` ### Pattern 2: Performance Issues ```markdown ## Performance Debugging 1. **Profile first** - Don't optimize blindly - Measure before and after - Find bottlenecks 2. **Common culprits** - N+1 queries - Unnecessary re-renders - Large data processing - Synchronous I/O 3. **Tools** - Browser DevTools Performance tab - Lighthouse - Python: cProfile, line_profiler - Node: clinic.js, 0x ``` ### Pattern 3: Production Bugs ```markdown ## Production Debugging 1. **Gather evidence** - Error tracking (Sentry, Bugsnag) - Application logs - User reports - Metrics/monitoring 2. **Reproduce locally** - Use production data (anonymized) - Match environment - Follow exact steps 3. **Safe investigation** - Don't change production - Use feature flags - Add monitoring/logging - Test fixes in staging ``` ## Best Practices 1. **Reproduce First**: Can't fix what you can't reproduce 2. **Isolate the Problem**: Remove complexity until minimal case 3. **Read Error Messages**: They're usually helpful 4. **Check Recent Changes**: Most bugs are recent 5. **Use Version Control**: Git bisect, blame, history 6. **Take Breaks**: Fresh eyes see better 7. **Document Findings**: Help future you 8. **Fix Root Cause**: Not just symptoms ## Common Debugging Mistakes - **Making Multiple Changes**: Change one thing at a time - **Not Reading Error Messages**: Read the full stack trace - **Assuming It's Complex**: Often it's simple - **Debug Logging in Prod**: Remove before shipping - **Not Using Debugger**: console.log isn't always best - **Giving Up Too Soon**: Persistence pays off - **Not Testing the Fix**: Verify it actually works ## Quick Debugging Checklist ```markdown ## When Stuck, Check: - [ ] Spelling errors (typos in variable names) - [ ] Case sensitivity (fileName vs filename) - [ ] Null/undefined values - [ ] Array index off-by-one - [ ] Async timing (race conditions) - [ ] Scope issues (closure, hoisting) - [ ] Type mismatches - [ ] Missing dependencies - [ ] Environment variables - [ ] File paths (absolute vs relative) - [ ] Cache issues (clear cache) - [ ] Stale data (refresh database) ``` ## Resources - **references/debugging-tools-guide.md**: Comprehensive tool documentation - **references/performance-profiling.md**: Performance debugging guide - **references/production-debugging.md**: Debugging live systems - **assets/debugging-checklist.md**: Quick reference checklist - **assets/common-bugs.md**: Common bug patterns - **scripts/debug-helper.ts**: Debugging utility functions
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

e2e-testing-patterns

Master end-to-end testing with Playwright and Cypress to build

coding
⭐1
# E2E Testing Patterns Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do. ## When to Use This Skill - Implementing end-to-end test automation - Debugging flaky or unreliable tests - Testing critical user workflows - Setting up CI/CD test pipelines - Testing across multiple browsers - Validating accessibility requirements - Testing responsive designs - Establishing E2E testing standards ## Core Concepts ### 1. E2E Testing Fundamentals **What to Test with E2E:** - Critical user journeys (login, checkout, signup) - Complex interactions (drag-and-drop, multi-step forms) - Cross-browser compatibility - Real API integration - Authentication flows **What NOT to Test with E2E:** - Unit-level logic (use unit tests) - API contracts (use integration tests) - Edge cases (too slow) - Internal implementation details ### 2. Test Philosophy **The Testing Pyramid:** ``` /\ /E2E\ ← Few, focused on critical paths /─────\ /Integr\ ← More, test component interactions /────────\ /Unit Tests\ ← Many, fast, isolated /────────────\ ``` **Best Practices:** - Test user behavior, not implementation - Keep tests independent - Make tests deterministic - Optimize for speed - Use data-testid, not CSS selectors ## Playwright Patterns ### Setup and Configuration ```typescript // playwright.config.ts import { defineConfig, devices } from "@playwright/test"; export default defineConfig({ testDir: "./e2e", timeout: 30000, expect: { timeout: 5000, }, fullyParallel: true, forbidOnly: !!process.env.CI, retries: process.env.CI ? 2 : 0, workers: process.env.CI ? 1 : undefined, reporter: [["html"], ["junit", { outputFile: "results.xml" }]], use: { baseURL: "http://localhost:3000", trace: "on-first-retry", screenshot: "only-on-failure", video: "retain-on-failure", }, projects: [ { name: "chromium", use: { ...devices["Desktop Chrome"] } }, { name: "firefox", use: { ...devices["Desktop Firefox"] } }, { name: "webkit", use: { ...devices["Desktop Safari"] } }, { name: "mobile", use: { ...devices["iPhone 13"] } }, ], }); ``` ### Pattern 1: Page Object Model ```typescript // pages/LoginPage.ts import { Page, Locator } from "@playwright/test"; export class LoginPage { readonly page: Page; readonly emailInput: Locator; readonly passwordInput: Locator; readonly loginButton: Locator; readonly errorMessage: Locator; constructor(page: Page) { this.page = page; this.emailInput = page.getByLabel("Email"); this.passwordInput = page.getByLabel("Password"); this.loginButton = page.getByRole("button", { name: "Login" }); this.errorMessage = page.getByRole("alert"); } async goto() { await this.page.goto("/login"); } async login(email: string, password: string) { await this.emailInput.fill(email); await this.passwordInput.fill(password); await this.loginButton.click(); } async getErrorMessage(): Promise<string> { return (await this.errorMessage.textContent()) ?? ""; } } // Test using Page Object import { test, expect } from "@playwright/test"; import { LoginPage } from "./pages/LoginPage"; test("successful login", async ({ page }) => { const loginPage = new LoginPage(page); await loginPage.goto(); await loginPage.login("user@example.com", "password123"); await expect(page).toHaveURL("/dashboard"); await expect(page.getByRole("heading", { name: "Dashboard" })).toBeVisible(); }); test("failed login shows error", async ({ page }) => { const loginPage = new LoginPage(page); await loginPage.goto(); await loginPage.login("invalid@example.com", "wrong"); const error = await loginPage.getErrorMessage(); expect(error).toContain("Invalid credentials"); }); ``` ### Pattern 2: Fixtures for Test Data ```typescript // fixtures/test-data.ts import { test as base } from "@playwright/test"; type TestData = { testUser: { email: string; password: string; name: string; }; adminUser: { email: string; password: string; }; }; export const test = base.extend<TestData>({ testUser: async ({}, use) => { const user = { email: `test-${Date.now()}@example.com`, password: "Test123!@#", name: "Test User", }; // Setup: Create user in database await createTestUser(user); await use(user); // Teardown: Clean up user await deleteTestUser(user.email); }, adminUser: async ({}, use) => { await use({ email: "admin@example.com", password: process.env.ADMIN_PASSWORD!, }); }, }); // Usage in tests import { test } from "./fixtures/test-data"; test("user can update profile", async ({ page, testUser }) => { await page.goto("/login"); await page.getByLabel("Email").fill(testUser.email); await page.getByLabel("Password").fill(testUser.password); await page.getByRole("button", { name: "Login" }).click(); await page.goto("/profile"); await page.getByLabel("Name").fill("Updated Name"); await page.getByRole("button", { name: "Save" }).click(); await expect(page.getByText("Profile updated")).toBeVisible(); }); ``` ### Pattern 3: Waiting Strategies ```typescript // āŒ Bad: Fixed timeouts await page.waitForTimeout(3000); // Flaky! // āœ… Good: Wait for specific conditions await page.waitForLoadState("networkidle"); await page.waitForURL("/dashboard"); await page.waitForSelector('[data-testid="user-profile"]'); // āœ… Better: Auto-waiting with assertions await expect(page.getByText("Welcome")).toBeVisible(); await expect(page.getByRole("button", { name: "Submit" })).toBeEnabled(); // Wait for API response const responsePromise = page.waitForResponse( (response) => response.url().includes("/api/users") && response.status() === 200, ); await page.getByRole("button", { name: "Load Users" }).click(); const response = await responsePromise; const data = await response.json(); expect(data.users).toHaveLength(10); // Wait for multiple conditions await Promise.all([ page.waitForURL("/success"), page.waitForLoadState("networkidle"), expect(page.getByText("Payment successful")).toBeVisible(), ]); ``` ### Pattern 4: Network Mocking and Interception ```typescript // Mock API responses test("displays error when API fails", async ({ page }) => { await page.route("**/api/users", (route) => { route.fulfill({ status: 500, contentType: "application/json", body: JSON.stringify({ error: "Internal Server Error" }), }); }); await page.goto("/users"); await expect(page.getByText("Failed to load users")).toBeVisible(); }); // Intercept and modify requests test("can modify API request", async ({ page }) => { await page.route("**/api/users", async (route) => { const request = route.request(); const postData = JSON.parse(request.postData() || "{}"); // Modify request postData.role = "admin"; await route.continue({ postData: JSON.stringify(postData), }); }); // Test continues... }); // Mock third-party services test("payment flow with mocked Stripe", async ({ page }) => { await page.route("**/api/stripe/**", (route) => { route.fulfill({ status: 200, body: JSON.stringify({ id: "mock_payment_id", status: "succeeded", }), }); }); // Test payment flow with mocked response }); ``` ## Cypress Patterns ### Setup and Configuration ```typescript // cypress.config.ts import { defineConfig } from "cypress"; export default defineConfig({ e2e: { baseUrl: "http://localhost:3000", viewportWidth: 1280, viewportHeight: 720, video: false, screenshotOnRunFailure: true, defaultCommandTimeout: 10000, requestTimeout: 10000, setupNodeEvents(on, config) { // Implement node event listeners }, }, }); ``` ### Pattern 1: Custom Commands ```typescript // cypress/support/commands.ts declare global { namespace Cypress { interface Chainable { login(email: string, password: string): Chainable<void>; createUser(userData: UserData): Chainable<User>; dataCy(value: string): Chainable<JQuery<HTMLElement>>; } } } Cypress.Commands.add("login", (email: string, password: string) => { cy.visit("/login"); cy.get('[data-testid="email"]').type(email); cy.get('[data-testid="password"]').type(password); cy.get('[data-testid="login-button"]').click(); cy.url().should("include", "/dashboard"); }); Cypress.Commands.add("createUser", (userData: UserData) => { return cy.request("POST", "/api/users", userData).its("body"); }); Cypress.Commands.add("dataCy", (value: string) => { return cy.get(`[data-cy="${value}"]`); }); // Usage cy.login("user@example.com", "password"); cy.dataCy("submit-button").click(); ``` ### Pattern 2: Cypress Intercept ```typescript // Mock API calls cy.intercept("GET", "/api/users", { statusCode: 200, body: [ { id: 1, name: "John" }, { id: 2, name: "Jane" }, ], }).as("getUsers"); cy.visit("/users"); cy.wait("@getUsers"); cy.get('[data-testid="user-list"]').children().should("have.length", 2); // Modify responses cy.intercept("GET", "/api/users", (req) => { req.reply((res) => { // Modify response res.body.users = res.body.users.slice(0, 5); res.send(); }); }); // Simulate slow network cy.intercept("GET", "/api/data", (req) => { req.reply((res) => { res.delay(3000); // 3 second delay res.send(); }); }); ``` ## Advanced Patterns ### Pattern 1: Visual Regression Testing ```typescript // With Playwright import { test, expect } from "@playwright/test"; test("homepage looks correct", async ({ page }) => { await page.goto("/"); await expect(page).toHaveScreenshot("homepage.png", { fullPage: true, maxDiffPixels: 100, }); }); test("button in all states", async ({ page }) => { await page.goto("/components"); const button = page.getByRole("button", { name: "Submit" }); // Default state await expect(button).toHaveScreenshot("button-default.png"); // Hover state await button.hover(); await expect(button).toHaveScreenshot("button-hover.png"); // Disabled state await button.evaluate((el) => el.setAttribute("disabled", "true")); await expect(button).toHaveScreenshot("button-disabled.png"); }); ``` ### Pattern 2: Parallel Testing with Sharding ```typescript // playwright.config.ts export default defineConfig({ projects: [ { name: "shard-1", use: { ...devices["Desktop Chrome"] }, grepInvert: /@slow/, shard: { current: 1, total: 4 }, }, { name: "shard-2", use: { ...devices["Desktop Chrome"] }, shard: { current: 2, total: 4 }, }, // ... more shards ], }); // Run in CI // npx playwright test --shard=1/4 // npx playwright test --shard=2/4 ``` ### Pattern 3: Accessibility Testing ```typescript // Install: npm install @axe-core/playwright import { test, expect } from "@playwright/test"; import AxeBuilder from "@axe-core/playwright"; test("page should not have accessibility violations", async ({ page }) => { await page.goto("/"); const accessibilityScanResults = await new AxeBuilder({ page }) .exclude("#third-party-widget") .analyze(); expect(accessibilityScanResults.violations).toEqual([]); }); test("form is accessible", async ({ page }) => { await page.goto("/signup"); const results = await new AxeBuilder({ page }).include("form").analyze(); expect(results.violations).toEqual([]); }); ``` ## Best Practices 1. **Use Data Attributes**: `data-testid` or `data-cy` for stable selectors 2. **Avoid Brittle Selectors**: Don't rely on CSS classes or DOM structure 3. **Test User Behavior**: Click, type, see - not implementation details 4. **Keep Tests Independent**: Each test should run in isolation 5. **Clean Up Test Data**: Create and destroy test data in each test 6. **Use Page Objects**: Encapsulate page logic 7. **Meaningful Assertions**: Check actual user-visible behavior 8. **Optimize for Speed**: Mock when possible, parallel execution ```typescript // āŒ Bad selectors cy.get(".btn.btn-primary.submit-button").click(); cy.get("div > form > div:nth-child(2) > input").type("text"); // āœ… Good selectors cy.getByRole("button", { name: "Submit" }).click(); cy.getByLabel("Email address").type("user@example.com"); cy.get('[data-testid="email-input"]').type("user@example.com"); ``` ## Common Pitfalls - **Flaky Tests**: Use proper waits, not fixed timeouts - **Slow Tests**: Mock external APIs, use parallel execution - **Over-Testing**: Don't test every edge case with E2E - **Coupled Tests**: Tests should not depend on each other - **Poor Selectors**: Avoid CSS classes and nth-child - **No Cleanup**: Clean up test data after each test - **Testing Implementation**: Test user behavior, not internals ## Debugging Failing Tests ```typescript // Playwright debugging // 1. Run in headed mode npx playwright test --headed // 2. Run in debug mode npx playwright test --debug // 3. Use trace viewer await page.screenshot({ path: 'screenshot.png' }); await page.video()?.saveAs('video.webm'); // 4. Add test.step for better reporting test('checkout flow', async ({ page }) => { await test.step('Add item to cart', async () => { await page.goto('/products'); await page.getByRole('button', { name: 'Add to Cart' }).click(); }); await test.step('Proceed to checkout', async () => { await page.goto('/cart'); await page.getByRole('button', { name: 'Checkout' }).click(); }); }); // 5. Inspect page state await page.pause(); // Pauses execution, opens inspector ``` ## Resources - **references/playwright-best-practices.md**: Playwright-specific patterns - **references/cypress-best-practices.md**: Cypress-specific patterns - **references/flaky-test-debugging.md**: Debugging unreliable tests - **assets/e2e-testing-checklist.md**: What to test with E2E - **assets/selector-strategies.md**: Finding reliable selectors - **scripts/test-analyzer.ts**: Analyze test flakiness and duration
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

error-handling-patterns

Master error handling patterns across languages including

coding
⭐1
# Error Handling Patterns Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences. ## When to Use This Skill - Implementing error handling in new features - Designing error-resilient APIs - Debugging production issues - Improving application reliability - Creating better error messages for users and developers - Implementing retry and circuit breaker patterns - Handling async/concurrent errors - Building fault-tolerant distributed systems ## Core Concepts ### 1. Error Handling Philosophies **Exceptions vs Result Types:** - **Exceptions**: Traditional try-catch, disrupts control flow - **Result Types**: Explicit success/failure, functional approach - **Error Codes**: C-style, requires discipline - **Option/Maybe Types**: For nullable values **When to Use Each:** - Exceptions: Unexpected errors, exceptional conditions - Result Types: Expected errors, validation failures - Panics/Crashes: Unrecoverable errors, programming bugs ### 2. Error Categories **Recoverable Errors:** - Network timeouts - Missing files - Invalid user input - API rate limits **Unrecoverable Errors:** - Out of memory - Stack overflow - Programming bugs (null pointer, etc.) ## Language-Specific Patterns ### Python Error Handling **Custom Exception Hierarchy:** ```python class ApplicationError(Exception): """Base exception for all application errors.""" def __init__(self, message: str, code: str = None, details: dict = None): super().__init__(message) self.code = code self.details = details or {} self.timestamp = datetime.utcnow() class ValidationError(ApplicationError): """Raised when validation fails.""" pass class NotFoundError(ApplicationError): """Raised when resource not found.""" pass class ExternalServiceError(ApplicationError): """Raised when external service fails.""" def __init__(self, message: str, service: str, **kwargs): super().__init__(message, **kwargs) self.service = service # Usage def get_user(user_id: str) -> User: user = db.query(User).filter_by(id=user_id).first() if not user: raise NotFoundError( f"User not found", code="USER_NOT_FOUND", details={"user_id": user_id} ) return user ``` **Context Managers for Cleanup:** ```python from contextlib import contextmanager @contextmanager def database_transaction(session): """Ensure transaction is committed or rolled back.""" try: yield session session.commit() except Exception as e: session.rollback() raise finally: session.close() # Usage with database_transaction(db.session) as session: user = User(name="Alice") session.add(user) # Automatic commit or rollback ``` **Retry with Exponential Backoff:** ```python import time from functools import wraps from typing import TypeVar, Callable T = TypeVar('T') def retry( max_attempts: int = 3, backoff_factor: float = 2.0, exceptions: tuple = (Exception,) ): """Retry decorator with exponential backoff.""" def decorator(func: Callable[..., T]) -> Callable[..., T]: @wraps(func) def wrapper(*args, **kwargs) -> T: last_exception = None for attempt in range(max_attempts): try: return func(*args, **kwargs) except exceptions as e: last_exception = e if attempt < max_attempts - 1: sleep_time = backoff_factor ** attempt time.sleep(sleep_time) continue raise raise last_exception return wrapper return decorator # Usage @retry(max_attempts=3, exceptions=(NetworkError,)) def fetch_data(url: str) -> dict: response = requests.get(url, timeout=5) response.raise_for_status() return response.json() ``` ### TypeScript/JavaScript Error Handling **Custom Error Classes:** ```typescript // Custom error classes class ApplicationError extends Error { constructor( message: string, public code: string, public statusCode: number = 500, public details?: Record<string, any>, ) { super(message); this.name = this.constructor.name; Error.captureStackTrace(this, this.constructor); } } class ValidationError extends ApplicationError { constructor(message: string, details?: Record<string, any>) { super(message, "VALIDATION_ERROR", 400, details); } } class NotFoundError extends ApplicationError { constructor(resource: string, id: string) { super(`${resource} not found`, "NOT_FOUND", 404, { resource, id }); } } // Usage function getUser(id: string): User { const user = users.find((u) => u.id === id); if (!user) { throw new NotFoundError("User", id); } return user; } ``` **Result Type Pattern:** ```typescript // Result type for explicit error handling type Result<T, E = Error> = { ok: true; value: T } | { ok: false; error: E }; // Helper functions function Ok<T>(value: T): Result<T, never> { return { ok: true, value }; } function Err<E>(error: E): Result<never, E> { return { ok: false, error }; } // Usage function parseJSON<T>(json: string): Result<T, SyntaxError> { try { const value = JSON.parse(json) as T; return Ok(value); } catch (error) { return Err(error as SyntaxError); } } // Consuming Result const result = parseJSON<User>(userJson); if (result.ok) { console.log(result.value.name); } else { console.error("Parse failed:", result.error.message); } // Chaining Results function chain<T, U, E>( result: Result<T, E>, fn: (value: T) => Result<U, E>, ): Result<U, E> { return result.ok ? fn(result.value) : result; } ``` **Async Error Handling:** ```typescript // Async/await with proper error handling async function fetchUserOrders(userId: string): Promise<Order[]> { try { const user = await getUser(userId); const orders = await getOrders(user.id); return orders; } catch (error) { if (error instanceof NotFoundError) { return []; // Return empty array for not found } if (error instanceof NetworkError) { // Retry logic return retryFetchOrders(userId); } // Re-throw unexpected errors throw error; } } // Promise error handling function fetchData(url: string): Promise<Data> { return fetch(url) .then((response) => { if (!response.ok) { throw new NetworkError(`HTTP ${response.status}`); } return response.json(); }) .catch((error) => { console.error("Fetch failed:", error); throw error; }); } ``` ### Rust Error Handling **Result and Option Types:** ```rust use std::fs::File; use std::io::{self, Read}; // Result type for operations that can fail fn read_file(path: &str) -> Result<String, io::Error> { let mut file = File::open(path)?; // ? operator propagates errors let mut contents = String::new(); file.read_to_string(&mut contents)?; Ok(contents) } // Custom error types #[derive(Debug)] enum AppError { Io(io::Error), Parse(std::num::ParseIntError), NotFound(String), Validation(String), } impl From<io::Error> for AppError { fn from(error: io::Error) -> Self { AppError::Io(error) } } // Using custom error type fn read_number_from_file(path: &str) -> Result<i32, AppError> { let contents = read_file(path)?; // Auto-converts io::Error let number = contents.trim().parse() .map_err(AppError::Parse)?; // Explicitly convert ParseIntError Ok(number) } // Option for nullable values fn find_user(id: &str) -> Option<User> { users.iter().find(|u| u.id == id).cloned() } // Combining Option and Result fn get_user_age(id: &str) -> Result<u32, AppError> { find_user(id) .ok_or_else(|| AppError::NotFound(id.to_string())) .map(|user| user.age) } ``` ### Go Error Handling **Explicit Error Returns:** ```go // Basic error handling func getUser(id string) (*User, error) { user, err := db.QueryUser(id) if err != nil { return nil, fmt.Errorf("failed to query user: %w", err) } if user == nil { return nil, errors.New("user not found") } return user, nil } // Custom error types type ValidationError struct { Field string Message string } func (e *ValidationError) Error() string { return fmt.Sprintf("validation failed for %s: %s", e.Field, e.Message) } // Sentinel errors for comparison var ( ErrNotFound = errors.New("not found") ErrUnauthorized = errors.New("unauthorized") ErrInvalidInput = errors.New("invalid input") ) // Error checking user, err := getUser("123") if err != nil { if errors.Is(err, ErrNotFound) { // Handle not found } else { // Handle other errors } } // Error wrapping and unwrapping func processUser(id string) error { user, err := getUser(id) if err != nil { return fmt.Errorf("process user failed: %w", err) } // Process user return nil } // Unwrap errors err := processUser("123") if err != nil { var valErr *ValidationError if errors.As(err, &valErr) { fmt.Printf("Validation error: %s\n", valErr.Field) } } ``` ## Universal Patterns ### Pattern 1: Circuit Breaker Prevent cascading failures in distributed systems. ```python from enum import Enum from datetime import datetime, timedelta from typing import Callable, TypeVar T = TypeVar('T') class CircuitState(Enum): CLOSED = "closed" # Normal operation OPEN = "open" # Failing, reject requests HALF_OPEN = "half_open" # Testing if recovered class CircuitBreaker: def __init__( self, failure_threshold: int = 5, timeout: timedelta = timedelta(seconds=60), success_threshold: int = 2 ): self.failure_threshold = failure_threshold self.timeout = timeout self.success_threshold = success_threshold self.failure_count = 0 self.success_count = 0 self.state = CircuitState.CLOSED self.last_failure_time = None def call(self, func: Callable[[], T]) -> T: if self.state == CircuitState.OPEN: if datetime.now() - self.last_failure_time > self.timeout: self.state = CircuitState.HALF_OPEN self.success_count = 0 else: raise Exception("Circuit breaker is OPEN") try: result = func() self.on_success() return result except Exception as e: self.on_failure() raise def on_success(self): self.failure_count = 0 if self.state == CircuitState.HALF_OPEN: self.success_count += 1 if self.success_count >= self.success_threshold: self.state = CircuitState.CLOSED self.success_count = 0 def on_failure(self): self.failure_count += 1 self.last_failure_time = datetime.now() if self.failure_count >= self.failure_threshold: self.state = CircuitState.OPEN # Usage circuit_breaker = CircuitBreaker() def fetch_data(): return circuit_breaker.call(lambda: external_api.get_data()) ``` ### Pattern 2: Error Aggregation Collect multiple errors instead of failing on first error. ```typescript class ErrorCollector { private errors: Error[] = []; add(error: Error): void { this.errors.push(error); } hasErrors(): boolean { return this.errors.length > 0; } getErrors(): Error[] { return [...this.errors]; } throw(): never { if (this.errors.length === 1) { throw this.errors[0]; } throw new AggregateError( this.errors, `${this.errors.length} errors occurred`, ); } } // Usage: Validate multiple fields function validateUser(data: any): User { const errors = new ErrorCollector(); if (!data.email) { errors.add(new ValidationError("Email is required")); } else if (!isValidEmail(data.email)) { errors.add(new ValidationError("Email is invalid")); } if (!data.name || data.name.length < 2) { errors.add(new ValidationError("Name must be at least 2 characters")); } if (!data.age || data.age < 18) { errors.add(new ValidationError("Age must be 18 or older")); } if (errors.hasErrors()) { errors.throw(); } return data as User; } ``` ### Pattern 3: Graceful Degradation Provide fallback functionality when errors occur. ```python from typing import Optional, Callable, TypeVar T = TypeVar('T') def with_fallback( primary: Callable[[], T], fallback: Callable[[], T], log_error: bool = True ) -> T: """Try primary function, fall back to fallback on error.""" try: return primary() except Exception as e: if log_error: logger.error(f"Primary function failed: {e}") return fallback() # Usage def get_user_profile(user_id: str) -> UserProfile: return with_fallback( primary=lambda: fetch_from_cache(user_id), fallback=lambda: fetch_from_database(user_id) ) # Multiple fallbacks def get_exchange_rate(currency: str) -> float: return ( try_function(lambda: api_provider_1.get_rate(currency)) or try_function(lambda: api_provider_2.get_rate(currency)) or try_function(lambda: cache.get_rate(currency)) or DEFAULT_RATE ) def try_function(func: Callable[[], Optional[T]]) -> Optional[T]: try: return func() except Exception: return None ``` ## Best Practices 1. **Fail Fast**: Validate input early, fail quickly 2. **Preserve Context**: Include stack traces, metadata, timestamps 3. **Meaningful Messages**: Explain what happened and how to fix it 4. **Log Appropriately**: Error = log, expected failure = don't spam logs 5. **Handle at Right Level**: Catch where you can meaningfully handle 6. **Clean Up Resources**: Use try-finally, context managers, defer 7. **Don't Swallow Errors**: Log or re-throw, don't silently ignore 8. **Type-Safe Errors**: Use typed errors when possible ```python # Good error handling example def process_order(order_id: str) -> Order: """Process order with comprehensive error handling.""" try: # Validate input if not order_id: raise ValidationError("Order ID is required") # Fetch order order = db.get_order(order_id) if not order: raise NotFoundError("Order", order_id) # Process payment try: payment_result = payment_service.charge(order.total) except PaymentServiceError as e: # Log and wrap external service error logger.error(f"Payment failed for order {order_id}: {e}") raise ExternalServiceError( f"Payment processing failed", service="payment_service", details={"order_id": order_id, "amount": order.total} ) from e # Update order order.status = "completed" order.payment_id = payment_result.id db.save(order) return order except ApplicationError: # Re-raise known application errors raise except Exception as e: # Log unexpected errors logger.exception(f"Unexpected error processing order {order_id}") raise ApplicationError( "Order processing failed", code="INTERNAL_ERROR" ) from e ``` ## Common Pitfalls - **Catching Too Broadly**: `except Exception` hides bugs - **Empty Catch Blocks**: Silently swallowing errors - **Logging and Re-throwing**: Creates duplicate log entries - **Not Cleaning Up**: Forgetting to close files, connections - **Poor Error Messages**: "Error occurred" is not helpful - **Returning Error Codes**: Use exceptions or Result types - **Ignoring Async Errors**: Unhandled promise rejections ## Resources - **references/exception-hierarchy-design.md**: Designing error class hierarchies - **references/error-recovery-strategies.md**: Recovery patterns for different scenarios - **references/async-error-handling.md**: Handling errors in concurrent code - **assets/error-handling-checklist.md**: Review checklist for error handling - **assets/error-message-guide.md**: Writing helpful error messages - **scripts/error-analyzer.py**: Analyze error patterns in logs
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

saga-orchestration

Implement saga patterns for distributed transactions and

coding
⭐1
# Saga Orchestration Patterns for managing distributed transactions and long-running business processes. ## When to Use This Skill - Coordinating multi-service transactions - Implementing compensating transactions - Managing long-running business workflows - Handling failures in distributed systems - Building order fulfillment processes - Implementing approval workflows ## Core Concepts ### 1. Saga Types ``` Choreography Orchestration ā”Œā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │Svc A│─►│Svc B│─►│Svc C│ │ Orchestrator│ ā””ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ │ │ │ ā–¼ ā–¼ ā–¼ ā”Œā”€ā”€ā”€ā”€ā”€ā”¼ā”€ā”€ā”€ā”€ā”€ā” Event Event Event ā–¼ ā–¼ ā–¼ ā”Œā”€ā”€ā”€ā”€ā”ā”Œā”€ā”€ā”€ā”€ā”ā”Œā”€ā”€ā”€ā”€ā” │Svc1││Svc2││Svc3│ ā””ā”€ā”€ā”€ā”€ā”˜ā””ā”€ā”€ā”€ā”€ā”˜ā””ā”€ā”€ā”€ā”€ā”˜ ``` ### 2. Saga Execution States | State | Description | | ---------------- | ------------------------------ | | **Started** | Saga initiated | | **Pending** | Waiting for step completion | | **Compensating** | Rolling back due to failure | | **Completed** | All steps succeeded | | **Failed** | Saga failed after compensation | ## Templates ### Template 1: Saga Orchestrator Base ```python from abc import ABC, abstractmethod from dataclasses import dataclass, field from enum import Enum from typing import List, Dict, Any, Optional from datetime import datetime import uuid class SagaState(Enum): STARTED = "started" PENDING = "pending" COMPENSATING = "compensating" COMPLETED = "completed" FAILED = "failed" @dataclass class SagaStep: name: str action: str compensation: str status: str = "pending" result: Optional[Dict] = None error: Optional[str] = None executed_at: Optional[datetime] = None compensated_at: Optional[datetime] = None @dataclass class Saga: saga_id: str saga_type: str state: SagaState data: Dict[str, Any] steps: List[SagaStep] current_step: int = 0 created_at: datetime = field(default_factory=datetime.utcnow) updated_at: datetime = field(default_factory=datetime.utcnow) class SagaOrchestrator(ABC): """Base class for saga orchestrators.""" def __init__(self, saga_store, event_publisher): self.saga_store = saga_store self.event_publisher = event_publisher @abstractmethod def define_steps(self, data: Dict) -> List[SagaStep]: """Define the saga steps.""" pass @property @abstractmethod def saga_type(self) -> str: """Unique saga type identifier.""" pass async def start(self, data: Dict) -> Saga: """Start a new saga.""" saga = Saga( saga_id=str(uuid.uuid4()), saga_type=self.saga_type, state=SagaState.STARTED, data=data, steps=self.define_steps(data) ) await self.saga_store.save(saga) await self._execute_next_step(saga) return saga async def handle_step_completed(self, saga_id: str, step_name: str, result: Dict): """Handle successful step completion.""" saga = await self.saga_store.get(saga_id) # Update step for step in saga.steps: if step.name == step_name: step.status = "completed" step.result = result step.executed_at = datetime.utcnow() break saga.current_step += 1 saga.updated_at = datetime.utcnow() # Check if saga is complete if saga.current_step >= len(saga.steps): saga.state = SagaState.COMPLETED await self.saga_store.save(saga) await self._on_saga_completed(saga) else: saga.state = SagaState.PENDING await self.saga_store.save(saga) await self._execute_next_step(saga) async def handle_step_failed(self, saga_id: str, step_name: str, error: str): """Handle step failure - start compensation.""" saga = await self.saga_store.get(saga_id) # Mark step as failed for step in saga.steps: if step.name == step_name: step.status = "failed" step.error = error break saga.state = SagaState.COMPENSATING saga.updated_at = datetime.utcnow() await self.saga_store.save(saga) # Start compensation from current step backwards await self._compensate(saga) async def _execute_next_step(self, saga: Saga): """Execute the next step in the saga.""" if saga.current_step >= len(saga.steps): return step = saga.steps[saga.current_step] step.status = "executing" await self.saga_store.save(saga) # Publish command to execute step await self.event_publisher.publish( step.action, { "saga_id": saga.saga_id, "step_name": step.name, **saga.data } ) async def _compensate(self, saga: Saga): """Execute compensation for completed steps.""" # Compensate in reverse order for i in range(saga.current_step - 1, -1, -1): step = saga.steps[i] if step.status == "completed": step.status = "compensating" await self.saga_store.save(saga) await self.event_publisher.publish( step.compensation, { "saga_id": saga.saga_id, "step_name": step.name, "original_result": step.result, **saga.data } ) async def handle_compensation_completed(self, saga_id: str, step_name: str): """Handle compensation completion.""" saga = await self.saga_store.get(saga_id) for step in saga.steps: if step.name == step_name: step.status = "compensated" step.compensated_at = datetime.utcnow() break # Check if all compensations complete all_compensated = all( s.status in ("compensated", "pending", "failed") for s in saga.steps ) if all_compensated: saga.state = SagaState.FAILED await self._on_saga_failed(saga) await self.saga_store.save(saga) async def _on_saga_completed(self, saga: Saga): """Called when saga completes successfully.""" await self.event_publisher.publish( f"{self.saga_type}Completed", {"saga_id": saga.saga_id, **saga.data} ) async def _on_saga_failed(self, saga: Saga): """Called when saga fails after compensation.""" await self.event_publisher.publish( f"{self.saga_type}Failed", {"saga_id": saga.saga_id, "error": "Saga failed", **saga.data} ) ``` ### Template 2: Order Fulfillment Saga ```python class OrderFulfillmentSaga(SagaOrchestrator): """Orchestrates order fulfillment across services.""" @property def saga_type(self) -> str: return "OrderFulfillment" def define_steps(self, data: Dict) -> List[SagaStep]: return [ SagaStep( name="reserve_inventory", action="InventoryService.ReserveItems", compensation="InventoryService.ReleaseReservation" ), SagaStep( name="process_payment", action="PaymentService.ProcessPayment", compensation="PaymentService.RefundPayment" ), SagaStep( name="create_shipment", action="ShippingService.CreateShipment", compensation="ShippingService.CancelShipment" ), SagaStep( name="send_confirmation", action="NotificationService.SendOrderConfirmation", compensation="NotificationService.SendCancellationNotice" ) ] # Usage async def create_order(order_data: Dict): saga = OrderFulfillmentSaga(saga_store, event_publisher) return await saga.start({ "order_id": order_data["order_id"], "customer_id": order_data["customer_id"], "items": order_data["items"], "payment_method": order_data["payment_method"], "shipping_address": order_data["shipping_address"] }) # Event handlers in each service class InventoryService: async def handle_reserve_items(self, command: Dict): try: # Reserve inventory reservation = await self.reserve( command["items"], command["order_id"] ) # Report success await self.event_publisher.publish( "SagaStepCompleted", { "saga_id": command["saga_id"], "step_name": "reserve_inventory", "result": {"reservation_id": reservation.id} } ) except InsufficientInventoryError as e: await self.event_publisher.publish( "SagaStepFailed", { "saga_id": command["saga_id"], "step_name": "reserve_inventory", "error": str(e) } ) async def handle_release_reservation(self, command: Dict): # Compensating action await self.release_reservation( command["original_result"]["reservation_id"] ) await self.event_publisher.publish( "SagaCompensationCompleted", { "saga_id": command["saga_id"], "step_name": "reserve_inventory" } ) ``` ### Template 3: Choreography-Based Saga ```python from dataclasses import dataclass from typing import Dict, Any import asyncio @dataclass class SagaContext: """Passed through choreographed saga events.""" saga_id: str step: int data: Dict[str, Any] completed_steps: list class OrderChoreographySaga: """Choreography-based saga using events.""" def __init__(self, event_bus): self.event_bus = event_bus self._register_handlers() def _register_handlers(self): self.event_bus.subscribe("OrderCreated", self._on_order_created) self.event_bus.subscribe("InventoryReserved", self._on_inventory_reserved) self.event_bus.subscribe("PaymentProcessed", self._on_payment_processed) self.event_bus.subscribe("ShipmentCreated", self._on_shipment_created) # Compensation handlers self.event_bus.subscribe("PaymentFailed", self._on_payment_failed) self.event_bus.subscribe("ShipmentFailed", self._on_shipment_failed) async def _on_order_created(self, event: Dict): """Step 1: Order created, reserve inventory.""" await self.event_bus.publish("ReserveInventory", { "saga_id": event["order_id"], "order_id": event["order_id"], "items": event["items"] }) async def _on_inventory_reserved(self, event: Dict): """Step 2: Inventory reserved, process payment.""" await self.event_bus.publish("ProcessPayment", { "saga_id": event["saga_id"], "order_id": event["order_id"], "amount": event["total_amount"], "reservation_id": event["reservation_id"] }) async def _on_payment_processed(self, event: Dict): """Step 3: Payment done, create shipment.""" await self.event_bus.publish("CreateShipment", { "saga_id": event["saga_id"], "order_id": event["order_id"], "payment_id": event["payment_id"] }) async def _on_shipment_created(self, event: Dict): """Step 4: Complete - send confirmation.""" await self.event_bus.publish("OrderFulfilled", { "saga_id": event["saga_id"], "order_id": event["order_id"], "tracking_number": event["tracking_number"] }) # Compensation handlers async def _on_payment_failed(self, event: Dict): """Payment failed - release inventory.""" await self.event_bus.publish("ReleaseInventory", { "saga_id": event["saga_id"], "reservation_id": event["reservation_id"] }) await self.event_bus.publish("OrderFailed", { "order_id": event["order_id"], "reason": "Payment failed" }) async def _on_shipment_failed(self, event: Dict): """Shipment failed - refund payment and release inventory.""" await self.event_bus.publish("RefundPayment", { "saga_id": event["saga_id"], "payment_id": event["payment_id"] }) await self.event_bus.publish("ReleaseInventory", { "saga_id": event["saga_id"], "reservation_id": event["reservation_id"] }) ``` ### Template 4: Saga with Timeouts ```python class TimeoutSagaOrchestrator(SagaOrchestrator): """Saga orchestrator with step timeouts.""" def __init__(self, saga_store, event_publisher, scheduler): super().__init__(saga_store, event_publisher) self.scheduler = scheduler async def _execute_next_step(self, saga: Saga): if saga.current_step >= len(saga.steps): return step = saga.steps[saga.current_step] step.status = "executing" step.timeout_at = datetime.utcnow() + timedelta(minutes=5) await self.saga_store.save(saga) # Schedule timeout check await self.scheduler.schedule( f"saga_timeout_{saga.saga_id}_{step.name}", self._check_timeout, {"saga_id": saga.saga_id, "step_name": step.name}, run_at=step.timeout_at ) await self.event_publisher.publish( step.action, {"saga_id": saga.saga_id, "step_name": step.name, **saga.data} ) async def _check_timeout(self, data: Dict): """Check if step has timed out.""" saga = await self.saga_store.get(data["saga_id"]) step = next(s for s in saga.steps if s.name == data["step_name"]) if step.status == "executing": # Step timed out - fail it await self.handle_step_failed( data["saga_id"], data["step_name"], "Step timed out" ) ``` ## Best Practices ### Do's - **Make steps idempotent** - Safe to retry - **Design compensations carefully** - They must work - **Use correlation IDs** - For tracing across services - **Implement timeouts** - Don't wait forever - **Log everything** - For debugging failures ### Don'ts - **Don't assume instant completion** - Sagas take time - **Don't skip compensation testing** - Most critical part - **Don't couple services** - Use async messaging - **Don't ignore partial failures** - Handle gracefully ## Resources - [Saga Pattern](https://microservices.io/patterns/data/saga.html) - [Designing Data-Intensive Applications](https://dataintensive.net/)
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

turborepo-caching

Configure Turborepo for efficient monorepo builds with local and

coding
⭐1
# Turborepo Caching Production patterns for Turborepo build optimization. ## When to Use This Skill - Setting up new Turborepo projects - Configuring build pipelines - Implementing remote caching - Optimizing CI/CD performance - Migrating from other monorepo tools - Debugging cache misses ## Core Concepts ### 1. Turborepo Architecture ``` Workspace Root/ ā”œā”€ā”€ apps/ │ ā”œā”€ā”€ web/ │ │ └── package.json │ └── docs/ │ └── package.json ā”œā”€ā”€ packages/ │ ā”œā”€ā”€ ui/ │ │ └── package.json │ └── config/ │ └── package.json ā”œā”€ā”€ turbo.json └── package.json ``` ### 2. Pipeline Concepts | Concept | Description | | -------------- | -------------------------------- | | **dependsOn** | Tasks that must complete first | | **cache** | Whether to cache outputs | | **outputs** | Files to cache | | **inputs** | Files that affect cache key | | **persistent** | Long-running tasks (dev servers) | ## Templates ### Template 1: turbo.json Configuration ```json { "$schema": "https://turbo.build/schema.json", "globalDependencies": [".env", ".env.local"], "globalEnv": ["NODE_ENV", "VERCEL_URL"], "pipeline": { "build": { "dependsOn": ["^build"], "outputs": ["dist/**", ".next/**", "!.next/cache/**"], "env": ["API_URL", "NEXT_PUBLIC_*"] }, "test": { "dependsOn": ["build"], "outputs": ["coverage/**"], "inputs": ["src/**/*.tsx", "src/**/*.ts", "test/**/*.ts"] }, "lint": { "outputs": [], "cache": true }, "typecheck": { "dependsOn": ["^build"], "outputs": [] }, "dev": { "cache": false, "persistent": true }, "clean": { "cache": false } } } ``` ### Template 2: Package-Specific Pipeline ```json // apps/web/turbo.json { "$schema": "https://turbo.build/schema.json", "extends": ["//"], "pipeline": { "build": { "outputs": [".next/**", "!.next/cache/**"], "env": ["NEXT_PUBLIC_API_URL", "NEXT_PUBLIC_ANALYTICS_ID"] }, "test": { "outputs": ["coverage/**"], "inputs": ["src/**", "tests/**", "jest.config.js"] } } } ``` ### Template 3: Remote Caching with Vercel ```bash # Login to Vercel npx turbo login # Link to Vercel project npx turbo link # Run with remote cache turbo build --remote-only # CI environment variables TURBO_TOKEN=your-token TURBO_TEAM=your-team ``` ```yaml # .github/workflows/ci.yml name: CI on: push: branches: [main] pull_request: env: TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }} TURBO_TEAM: ${{ vars.TURBO_TEAM }} jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: actions/setup-node@v4 with: node-version: 20 cache: "npm" - name: Install dependencies run: npm ci - name: Build run: npx turbo build --filter='...[origin/main]' - name: Test run: npx turbo test --filter='...[origin/main]' ``` ### Template 4: Self-Hosted Remote Cache ```typescript // Custom remote cache server (Express) import express from "express"; import { createReadStream, createWriteStream } from "fs"; import { mkdir } from "fs/promises"; import { join } from "path"; const app = express(); const CACHE_DIR = "./cache"; // Get artifact app.get("/v8/artifacts/:hash", async (req, res) => { const { hash } = req.params; const team = req.query.teamId || "default"; const filePath = join(CACHE_DIR, team, hash); try { const stream = createReadStream(filePath); stream.pipe(res); } catch { res.status(404).send("Not found"); } }); // Put artifact app.put("/v8/artifacts/:hash", async (req, res) => { const { hash } = req.params; const team = req.query.teamId || "default"; const dir = join(CACHE_DIR, team); const filePath = join(dir, hash); await mkdir(dir, { recursive: true }); const stream = createWriteStream(filePath); req.pipe(stream); stream.on("finish", () => { res.json({ urls: [`${req.protocol}://${req.get("host")}/v8/artifacts/${hash}`], }); }); }); // Check artifact exists app.head("/v8/artifacts/:hash", async (req, res) => { const { hash } = req.params; const team = req.query.teamId || "default"; const filePath = join(CACHE_DIR, team, hash); try { await fs.access(filePath); res.status(200).end(); } catch { res.status(404).end(); } }); app.listen(3000); ``` ```json // turbo.json for self-hosted cache { "remoteCache": { "signature": false } } ``` ```bash # Use self-hosted cache turbo build --api="http://localhost:3000" --token="my-token" --team="my-team" ``` ### Template 5: Filtering and Scoping ```bash # Build specific package turbo build --filter=@myorg/web # Build package and its dependencies turbo build --filter=@myorg/web... # Build package and its dependents turbo build --filter=...@myorg/ui # Build changed packages since main turbo build --filter='...[origin/main]' # Build packages in directory turbo build --filter='./apps/*' # Combine filters turbo build --filter=@myorg/web --filter=@myorg/docs # Exclude package turbo build --filter='!@myorg/docs' # Include dependencies of changed turbo build --filter='...[HEAD^1]...' ``` ### Template 6: Advanced Pipeline Configuration ```json { "$schema": "https://turbo.build/schema.json", "pipeline": { "build": { "dependsOn": ["^build"], "outputs": ["dist/**"], "inputs": ["$TURBO_DEFAULT$", "!**/*.md", "!**/*.test.*"] }, "test": { "dependsOn": ["^build"], "outputs": ["coverage/**"], "inputs": ["src/**", "tests/**", "*.config.*"], "env": ["CI", "NODE_ENV"] }, "test:e2e": { "dependsOn": ["build"], "outputs": [], "cache": false }, "deploy": { "dependsOn": ["build", "test", "lint"], "outputs": [], "cache": false }, "db:generate": { "cache": false }, "db:push": { "cache": false, "dependsOn": ["db:generate"] }, "@myorg/web#build": { "dependsOn": ["^build", "@myorg/db#db:generate"], "outputs": [".next/**"], "env": ["NEXT_PUBLIC_*"] } } } ``` ### Template 7: Root package.json Setup ```json { "name": "my-turborepo", "private": true, "workspaces": ["apps/*", "packages/*"], "scripts": { "build": "turbo build", "dev": "turbo dev", "lint": "turbo lint", "test": "turbo test", "clean": "turbo clean && rm -rf node_modules", "format": "prettier --write \"**/*.{ts,tsx,md}\"", "changeset": "changeset", "version-packages": "changeset version", "release": "turbo build --filter=./packages/* && changeset publish" }, "devDependencies": { "turbo": "^1.10.0", "prettier": "^3.0.0", "@changesets/cli": "^2.26.0" }, "packageManager": "npm@10.0.0" } ``` ## Debugging Cache ```bash # Dry run to see what would run turbo build --dry-run # Verbose output with hashes turbo build --verbosity=2 # Show task graph turbo build --graph # Force no cache turbo build --force # Show cache status turbo build --summarize # Debug specific task TURBO_LOG_VERBOSITY=debug turbo build --filter=@myorg/web ``` ## Best Practices ### Do's - **Define explicit inputs** - Avoid cache invalidation - **Use workspace protocol** - `"@myorg/ui": "workspace:*"` - **Enable remote caching** - Share across CI and local - **Filter in CI** - Build only affected packages - **Cache build outputs** - Not source files ### Don'ts - **Don't cache dev servers** - Use `persistent: true` - **Don't include secrets in env** - Use runtime env vars - **Don't ignore dependsOn** - Causes race conditions - **Don't over-filter** - May miss dependencies ## Resources - [Turborepo Documentation](https://turbo.build/repo/docs) - [Caching Guide](https://turbo.build/repo/docs/core-concepts/caching) - [Remote Caching](https://turbo.build/repo/docs/core-concepts/remote-caching)
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šŸ¤–system prompt•7 months ago

openapi-spec-generation

Generate and maintain OpenAPI 3.1 specifications from code,

coding
⭐1
# OpenAPI Spec Generation Comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. ## When to Use This Skill - Creating API documentation from scratch - Generating OpenAPI specs from existing code - Designing API contracts (design-first approach) - Validating API implementations against specs - Generating client SDKs from specs - Setting up API documentation portals ## Core Concepts ### 1. OpenAPI 3.1 Structure ```yaml openapi: 3.1.0 info: title: API Title version: 1.0.0 servers: - url: https://api.example.com/v1 paths: /resources: get: ... components: schemas: ... securitySchemes: ... ``` ### 2. Design Approaches | Approach | Description | Best For | | ---------------- | ---------------------------- | ------------------- | | **Design-First** | Write spec before code | New APIs, contracts | | **Code-First** | Generate spec from code | Existing APIs | | **Hybrid** | Annotate code, generate spec | Evolving APIs | ## Templates ### Template 1: Complete API Specification ```yaml openapi: 3.1.0 info: title: User Management API description: | API for managing users and their profiles. ## Authentication All endpoints require Bearer token authentication. ## Rate Limiting - 1000 requests per minute for standard tier - 10000 requests per minute for enterprise tier version: 2.0.0 contact: name: API Support email: api-support@example.com url: https://docs.example.com license: name: MIT url: https://opensource.org/licenses/MIT servers: - url: https://api.example.com/v2 description: Production - url: https://staging-api.example.com/v2 description: Staging - url: http://localhost:3000/v2 description: Local development tags: - name: Users description: User management operations - name: Profiles description: User profile operations - name: Admin description: Administrative operations paths: /users: get: operationId: listUsers summary: List all users description: Returns a paginated list of users with optional filtering. tags: - Users parameters: - $ref: "#/components/parameters/PageParam" - $ref: "#/components/parameters/LimitParam" - name: status in: query description: Filter by user status schema: $ref: "#/components/schemas/UserStatus" - name: search in: query description: Search by name or email schema: type: string minLength: 2 maxLength: 100 responses: "200": description: Successful response content: application/json: schema: $ref: "#/components/schemas/UserListResponse" examples: default: $ref: "#/components/examples/UserListExample" "400": $ref: "#/components/responses/BadRequest" "401": $ref: "#/components/responses/Unauthorized" "429": $ref: "#/components/responses/RateLimited" security: - bearerAuth: [] post: operationId: createUser summary: Create a new user description: Creates a new user account and sends welcome email. tags: - Users requestBody: required: true content: application/json: schema: $ref: "#/components/schemas/CreateUserRequest" examples: standard: summary: Standard user value: email: user@example.com name: John Doe role: user admin: summary: Admin user value: email: admin@example.com name: Admin User role: admin responses: "201": description: User created successfully content: application/json: schema: $ref: "#/components/schemas/User" headers: Location: description: URL of created user schema: type: string format: uri "400": $ref: "#/components/responses/BadRequest" "409": description: Email already exists content: application/json: schema: $ref: "#/components/schemas/Error" security: - bearerAuth: [] /users/{userId}: parameters: - $ref: "#/components/parameters/UserIdParam" get: operationId: getUser summary: Get user by ID tags: - Users responses: "200": description: Successful response content: application/json: schema: $ref: "#/components/schemas/User" "404": $ref: "#/components/responses/NotFound" security: - bearerAuth: [] patch: operationId: updateUser summary: Update user tags: - Users requestBody: required: true content: application/json: schema: $ref: "#/components/schemas/UpdateUserRequest" responses: "200": description: User updated content: application/json: schema: $ref: "#/components/schemas/User" "400": $ref: "#/components/responses/BadRequest" "404": $ref: "#/components/responses/NotFound" security: - bearerAuth: [] delete: operationId: deleteUser summary: Delete user tags: - Users - Admin responses: "204": description: User deleted "404": $ref: "#/components/responses/NotFound" security: - bearerAuth: [] - apiKey: [] components: schemas: User: type: object required: - id - email - name - status - createdAt properties: id: type: string format: uuid readOnly: true description: Unique user identifier email: type: string format: email description: User email address name: type: string minLength: 1 maxLength: 100 description: User display name status: $ref: "#/components/schemas/UserStatus" role: type: string enum: [user, moderator, admin] default: user avatar: type: string format: uri nullable: true metadata: type: object additionalProperties: true description: Custom metadata createdAt: type: string format: date-time readOnly: true updatedAt: type: string format: date-time readOnly: true UserStatus: type: string enum: [active, inactive, suspended, pending] description: User account status CreateUserRequest: type: object required: - email - name properties: email: type: string format: email name: type: string minLength: 1 maxLength: 100 role: type: string enum: [user, moderator, admin] default: user metadata: type: object additionalProperties: true UpdateUserRequest: type: object minProperties: 1 properties: name: type: string minLength: 1 maxLength: 100 status: $ref: "#/components/schemas/UserStatus" role: type: string enum: [user, moderator, admin] metadata: type: object additionalProperties: true UserListResponse: type: object required: - data - pagination properties: data: type: array items: $ref: "#/components/schemas/User" pagination: $ref: "#/components/schemas/Pagination" Pagination: type: object required: - page - limit - total - totalPages properties: page: type: integer minimum: 1 limit: type: integer minimum: 1 maximum: 100 total: type: integer minimum: 0 totalPages: type: integer minimum: 0 hasNext: type: boolean hasPrev: type: boolean Error: type: object required: - code - message properties: code: type: string description: Error code for programmatic handling message: type: string description: Human-readable error message details: type: array items: type: object properties: field: type: string message: type: string requestId: type: string description: Request ID for support parameters: UserIdParam: name: userId in: path required: true description: User ID schema: type: string format: uuid PageParam: name: page in: query description: Page number (1-based) schema: type: integer minimum: 1 default: 1 LimitParam: name: limit in: query description: Items per page schema: type: integer minimum: 1 maximum: 100 default: 20 responses: BadRequest: description: Invalid request content: application/json: schema: $ref: "#/components/schemas/Error" example: code: VALIDATION_ERROR message: Invalid request parameters details: - field: email message: Must be a valid email address Unauthorized: description: Authentication required content: application/json: schema: $ref: "#/components/schemas/Error" example: code: UNAUTHORIZED message: Authentication required NotFound: description: Resource not found content: application/json: schema: $ref: "#/components/schemas/Error" example: code: NOT_FOUND message: User not found RateLimited: description: Too many requests content: application/json: schema: $ref: "#/components/schemas/Error" headers: Retry-After: description: Seconds until rate limit resets schema: type: integer X-RateLimit-Limit: description: Request limit per window schema: type: integer X-RateLimit-Remaining: description: Remaining requests in window schema: type: integer examples: UserListExample: value: data: - id: "550e8400-e29b-41d4-a716-446655440000" email: "john@example.com" name: "John Doe" status: "active" role: "user" createdAt: "2024-01-15T10:30:00Z" pagination: page: 1 limit: 20 total: 1 totalPages: 1 hasNext: false hasPrev: false securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT description: JWT token from /auth/login apiKey: type: apiKey in: header name: X-API-Key description: API key for service-to-service calls security: - bearerAuth: [] ``` ### Template 2: Code-First Generation (Python/FastAPI) ```python # FastAPI with automatic OpenAPI generation from fastapi import FastAPI, HTTPException, Query, Path, Depends from pydantic import BaseModel, Field, EmailStr from typing import Optional, List from datetime import datetime from uuid import UUID from enum import Enum app = FastAPI( title="User Management API", description="API for managing users and profiles", version="2.0.0", openapi_tags=[ {"name": "Users", "description": "User operations"}, {"name": "Profiles", "description": "Profile operations"}, ], servers=[ {"url": "https://api.example.com/v2", "description": "Production"}, {"url": "http://localhost:8000", "description": "Development"}, ], ) # Enums class UserStatus(str, Enum): active = "active" inactive = "inactive" suspended = "suspended" pending = "pending" class UserRole(str, Enum): user = "user" moderator = "moderator" admin = "admin" # Models class UserBase(BaseModel): email: EmailStr = Field(..., description="User email address") name: str = Field(..., min_length=1, max_length=100, description="Display name") class UserCreate(UserBase): role: UserRole = Field(default=UserRole.user) metadata: Optional[dict] = Field(default=None, description="Custom metadata") model_config = { "json_schema_extra": { "examples": [ { "email": "user@example.com", "name": "John Doe", "role": "user" } ] } } class UserUpdate(BaseModel): name: Optional[str] = Field(None, min_length=1, max_length=100) status: Optional[UserStatus] = None role: Optional[UserRole] = None metadata: Optional[dict] = None class User(UserBase): id: UUID = Field(..., description="Unique identifier") status: UserStatus role: UserRole avatar: Optional[str] = Field(None, description="Avatar URL") metadata: Optional[dict] = None created_at: datetime = Field(..., alias="createdAt") updated_at: Optional[datetime] = Field(None, alias="updatedAt") model_config = {"populate_by_name": True} class Pagination(BaseModel): page: int = Field(..., ge=1) limit: int = Field(..., ge=1, le=100) total: int = Field(..., ge=0) total_pages: int = Field(..., ge=0, alias="totalPages") has_next: bool = Field(..., alias="hasNext") has_prev: bool = Field(..., alias="hasPrev") class UserListResponse(BaseModel): data: List[User] pagination: Pagination class ErrorDetail(BaseModel): field: str message: str class ErrorResponse(BaseModel): code: str = Field(..., description="Error code") message: str = Field(..., description="Error message") details: Optional[List[ErrorDetail]] = None request_id: Optional[str] = Field(None, alias="requestId") # Endpoints @app.get( "/users", response_model=UserListResponse, tags=["Users"], summary="List all users", description="Returns a paginated list of users with optional filtering.", responses={ 400: {"model": ErrorResponse, "description": "Invalid request"}, 401: {"model": ErrorResponse, "description": "Unauthorized"}, }, ) async def list_users( page: int = Query(1, ge=1, description="Page number"), limit: int = Query(20, ge=1, le=100, description="Items per page"), status: Optional[UserStatus] = Query(None, description="Filter by status"), search: Optional[str] = Query(None, min_length=2, max_length=100), ): """ List users with pagination and filtering. - **page**: Page number (1-based) - **limit**: Number of items per page (max 100) - **status**: Filter by user status - **search**: Search by name or email """ # Implementation pass @app.post( "/users", response_model=User, status_code=201, tags=["Users"], summary="Create a new user", responses={ 400: {"model": ErrorResponse}, 409: {"model": ErrorResponse, "description": "Email already exists"}, }, ) async def create_user(user: UserCreate): """Create a new user and send welcome email.""" pass @app.get( "/users/{user_id}", response_model=User, tags=["Users"], summary="Get user by ID", responses={404: {"model": ErrorResponse}}, ) async def get_user( user_id: UUID = Path(..., description="User ID"), ): """Retrieve a specific user by their ID.""" pass @app.patch( "/users/{user_id}", response_model=User, tags=["Users"], summary="Update user", responses={ 400: {"model": ErrorResponse}, 404: {"model": ErrorResponse}, }, ) async def update_user( user_id: UUID = Path(..., description="User ID"), user: UserUpdate = ..., ): """Update user attributes.""" pass @app.delete( "/users/{user_id}", status_code=204, tags=["Users", "Admin"], summary="Delete user", responses={404: {"model": ErrorResponse}}, ) async def delete_user( user_id: UUID = Path(..., description="User ID"), ): """Permanently delete a user.""" pass # Export OpenAPI spec if __name__ == "__main__": import json print(json.dumps(app.openapi(), indent=2)) ``` ### Template 3: Code-First (TypeScript/Express with tsoa) ```typescript // tsoa generates OpenAPI from TypeScript decorators import { Controller, Get, Post, Patch, Delete, Route, Path, Query, Body, Response, SuccessResponse, Tags, Security, Example, } from "tsoa"; // Models interface User { /** Unique identifier */ id: string; /** User email address */ email: string; /** Display name */ name: string; status: UserStatus; role: UserRole; /** Avatar URL */ avatar?: string; /** Custom metadata */ metadata?: Record<string, unknown>; createdAt: Date; updatedAt?: Date; } enum UserStatus { Active = "active", Inactive = "inactive", Suspended = "suspended", Pending = "pending", } enum UserRole { User = "user", Moderator = "moderator", Admin = "admin", } interface CreateUserRequest { email: string; name: string; role?: UserRole; metadata?: Record<string, unknown>; } interface UpdateUserRequest { name?: string; status?: UserStatus; role?: UserRole; metadata?: Record<string, unknown>; } interface Pagination { page: number; limit: number; total: number; totalPages: number; hasNext: boolean; hasPrev: boolean; } interface UserListResponse { data: User[]; pagination: Pagination; } interface ErrorResponse { code: string; message: string; details?: { field: string; message: string }[]; requestId?: string; } @Route("users") @Tags("Users") export class UsersController extends Controller { /** * List all users with pagination and filtering * @param page Page number (1-based) * @param limit Items per page (max 100) * @param status Filter by user status * @param search Search by name or email */
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dotnet-backend-patterns

Master C#/.NET backend development patterns for building robust

coding
⭐1
# .NET Backend Development Patterns Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025). ## When to Use This Skill - Developing new .NET Web APIs or MCP servers - Reviewing C# code for quality and performance - Designing service architectures with dependency injection - Implementing caching strategies with Redis - Writing unit and integration tests - Optimizing database access with EF Core or Dapper - Configuring applications with IOptions pattern - Handling errors and implementing resilience patterns ## Core Concepts ### 1. Project Structure (Clean Architecture) ``` src/ ā”œā”€ā”€ Domain/ # Core business logic (no dependencies) │ ā”œā”€ā”€ Entities/ │ ā”œā”€ā”€ Interfaces/ │ ā”œā”€ā”€ Exceptions/ │ └── ValueObjects/ ā”œā”€ā”€ Application/ # Use cases, DTOs, validation │ ā”œā”€ā”€ Services/ │ ā”œā”€ā”€ DTOs/ │ ā”œā”€ā”€ Validators/ │ └── Interfaces/ ā”œā”€ā”€ Infrastructure/ # External implementations │ ā”œā”€ā”€ Data/ # EF Core, Dapper repositories │ ā”œā”€ā”€ Caching/ # Redis, Memory cache │ ā”œā”€ā”€ External/ # HTTP clients, third-party APIs │ └── DependencyInjection/ # Service registration └── Api/ # Entry point ā”œā”€ā”€ Controllers/ # Or MinimalAPI endpoints ā”œā”€ā”€ Middleware/ ā”œā”€ā”€ Filters/ └── Program.cs ``` ### 2. Dependency Injection Patterns ```csharp // Service registration by lifetime public static class ServiceCollectionExtensions { public static IServiceCollection AddApplicationServices( this IServiceCollection services, IConfiguration configuration) { // Scoped: One instance per HTTP request services.AddScoped<IProductService, ProductService>(); services.AddScoped<IOrderService, OrderService>(); // Singleton: One instance for app lifetime services.AddSingleton<ICacheService, RedisCacheService>(); services.AddSingleton<IConnectionMultiplexer>(_ => ConnectionMultiplexer.Connect(configuration["Redis:Connection"]!)); // Transient: New instance every time services.AddTransient<IValidator<CreateOrderRequest>, CreateOrderValidator>(); // Options pattern for configuration services.Configure<CatalogOptions>(configuration.GetSection("Catalog")); services.Configure<RedisOptions>(configuration.GetSection("Redis")); // Factory pattern for conditional creation services.AddScoped<IPriceCalculator>(sp => { var options = sp.GetRequiredService<IOptions<PricingOptions>>().Value; return options.UseNewEngine ? sp.GetRequiredService<NewPriceCalculator>() : sp.GetRequiredService<LegacyPriceCalculator>(); }); // Keyed services (.NET 8+) services.AddKeyedScoped<IPaymentProcessor, StripeProcessor>("stripe"); services.AddKeyedScoped<IPaymentProcessor, PayPalProcessor>("paypal"); return services; } } // Usage with keyed services public class CheckoutService { public CheckoutService( [FromKeyedServices("stripe")] IPaymentProcessor stripeProcessor) { _processor = stripeProcessor; } } ``` ### 3. Async/Await Patterns ```csharp // āœ… CORRECT: Async all the way down public async Task<Product> GetProductAsync(string id, CancellationToken ct = default) { return await _repository.GetByIdAsync(id, ct); } // āœ… CORRECT: Parallel execution with WhenAll public async Task<(Stock, Price)> GetStockAndPriceAsync( string productId, CancellationToken ct = default) { var stockTask = _stockService.GetAsync(productId, ct); var priceTask = _priceService.GetAsync(productId, ct); await Task.WhenAll(stockTask, priceTask); return (await stockTask, await priceTask); } // āœ… CORRECT: ConfigureAwait in libraries public async Task<T> LibraryMethodAsync<T>(CancellationToken ct = default) { var result = await _httpClient.GetAsync(url, ct).ConfigureAwait(false); return await result.Content.ReadFromJsonAsync<T>(ct).ConfigureAwait(false); } // āœ… CORRECT: ValueTask for hot paths with caching public ValueTask<Product?> GetCachedProductAsync(string id) { if (_cache.TryGetValue(id, out Product? product)) return ValueTask.FromResult(product); return new ValueTask<Product?>(GetFromDatabaseAsync(id)); } // āŒ WRONG: Blocking on async (deadlock risk) var result = GetProductAsync(id).Result; // NEVER do this var result2 = GetProductAsync(id).GetAwaiter().GetResult(); // Also bad // āŒ WRONG: async void (except event handlers) public async void ProcessOrder() { } // Exceptions are lost // āŒ WRONG: Unnecessary Task.Run for already async code await Task.Run(async () => await GetDataAsync()); // Wastes thread ``` ### 4. Configuration with IOptions ```csharp // Configuration classes public class CatalogOptions { public const string SectionName = "Catalog"; public int DefaultPageSize { get; set; } = 50; public int MaxPageSize { get; set; } = 200; public TimeSpan CacheDuration { get; set; } = TimeSpan.FromMinutes(15); public bool EnableEnrichment { get; set; } = true; } public class RedisOptions { public const string SectionName = "Redis"; public string Connection { get; set; } = "localhost:6379"; public string KeyPrefix { get; set; } = "mcp:"; public int Database { get; set; } = 0; } // appsettings.json { "Catalog": { "DefaultPageSize": 50, "MaxPageSize": 200, "CacheDuration": "00:15:00", "EnableEnrichment": true }, "Redis": { "Connection": "localhost:6379", "KeyPrefix": "mcp:", "Database": 0 } } // Registration services.Configure<CatalogOptions>(configuration.GetSection(CatalogOptions.SectionName)); services.Configure<RedisOptions>(configuration.GetSection(RedisOptions.SectionName)); // Usage with IOptions (singleton, read once at startup) public class CatalogService { private readonly CatalogOptions _options; public CatalogService(IOptions<CatalogOptions> options) { _options = options.Value; } } // Usage with IOptionsSnapshot (scoped, re-reads on each request) public class DynamicService { private readonly CatalogOptions _options; public DynamicService(IOptionsSnapshot<CatalogOptions> options) { _options = options.Value; // Fresh value per request } } // Usage with IOptionsMonitor (singleton, notified on changes) public class MonitoredService { private CatalogOptions _options; public MonitoredService(IOptionsMonitor<CatalogOptions> monitor) { _options = monitor.CurrentValue; monitor.OnChange(newOptions => _options = newOptions); } } ``` ### 5. Result Pattern (Avoiding Exceptions for Flow Control) ```csharp // Generic Result type public class Result<T> { public bool IsSuccess { get; } public T? Value { get; } public string? Error { get; } public string? ErrorCode { get; } private Result(bool isSuccess, T? value, string? error, string? errorCode) { IsSuccess = isSuccess; Value = value; Error = error; ErrorCode = errorCode; } public static Result<T> Success(T value) => new(true, value, null, null); public static Result<T> Failure(string error, string? code = null) => new(false, default, error, code); public Result<TNew> Map<TNew>(Func<T, TNew> mapper) => IsSuccess ? Result<TNew>.Success(mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode); public async Task<Result<TNew>> MapAsync<TNew>(Func<T, Task<TNew>> mapper) => IsSuccess ? Result<TNew>.Success(await mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode); } // Usage in service public async Task<Result<Order>> CreateOrderAsync(CreateOrderRequest request, CancellationToken ct) { // Validation var validation = await _validator.ValidateAsync(request, ct); if (!validation.IsValid) return Result<Order>.Failure( validation.Errors.First().ErrorMessage, "VALIDATION_ERROR"); // Business rule check var stock = await _stockService.CheckAsync(request.ProductId, request.Quantity, ct); if (!stock.IsAvailable) return Result<Order>.Failure( $"Insufficient stock: {stock.Available} available, {request.Quantity} requested", "INSUFFICIENT_STOCK"); // Create order var order = await _repository.CreateAsync(request.ToEntity(), ct); return Result<Order>.Success(order); } // Usage in controller/endpoint app.MapPost("/orders", async ( CreateOrderRequest request, IOrderService orderService, CancellationToken ct) => { var result = await orderService.CreateOrderAsync(request, ct); return result.IsSuccess ? Results.Created($"/orders/{result.Value!.Id}", result.Value) : Results.BadRequest(new { error = result.Error, code = result.ErrorCode }); }); ``` ## Data Access Patterns ### Entity Framework Core ```csharp // DbContext configuration public class AppDbContext : DbContext { public DbSet<Product> Products => Set<Product>(); public DbSet<Order> Orders => Set<Order>(); protected override void OnModelCreating(ModelBuilder modelBuilder) { // Apply all configurations from assembly modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly); // Global query filters modelBuilder.Entity<Product>().HasQueryFilter(p => !p.IsDeleted); } } // Entity configuration public class ProductConfiguration : IEntityTypeConfiguration<Product> { public void Configure(EntityTypeBuilder<Product> builder) { builder.ToTable("Products"); builder.HasKey(p => p.Id); builder.Property(p => p.Id).HasMaxLength(40); builder.Property(p => p.Name).HasMaxLength(200).IsRequired(); builder.Property(p => p.Price).HasPrecision(18, 2); builder.HasIndex(p => p.Sku).IsUnique(); builder.HasIndex(p => new { p.CategoryId, p.Name }); builder.HasMany(p => p.OrderItems) .WithOne(oi => oi.Product) .HasForeignKey(oi => oi.ProductId); } } // Repository with EF Core public class ProductRepository : IProductRepository { private readonly AppDbContext _context; public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default) { return await _context.Products .AsNoTracking() .FirstOrDefaultAsync(p => p.Id == id, ct); } public async Task<IReadOnlyList<Product>> SearchAsync( ProductSearchCriteria criteria, CancellationToken ct = default) { var query = _context.Products.AsNoTracking(); if (!string.IsNullOrWhiteSpace(criteria.SearchTerm)) query = query.Where(p => EF.Functions.Like(p.Name, $"%{criteria.SearchTerm}%")); if (criteria.CategoryId.HasValue) query = query.Where(p => p.CategoryId == criteria.CategoryId); if (criteria.MinPrice.HasValue) query = query.Where(p => p.Price >= criteria.MinPrice); if (criteria.MaxPrice.HasValue) query = query.Where(p => p.Price <= criteria.MaxPrice); return await query .OrderBy(p => p.Name) .Skip((criteria.Page - 1) * criteria.PageSize) .Take(criteria.PageSize) .ToListAsync(ct); } } ``` ### Dapper for Performance ```csharp public class DapperProductRepository : IProductRepository { private readonly IDbConnection _connection; public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default) { const string sql = """ SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt FROM Products WHERE Id = @Id AND IsDeleted = 0 """; return await _connection.QueryFirstOrDefaultAsync<Product>( new CommandDefinition(sql, new { Id = id }, cancellationToken: ct)); } public async Task<IReadOnlyList<Product>> SearchAsync( ProductSearchCriteria criteria, CancellationToken ct = default) { var sql = new StringBuilder(""" SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt FROM Products WHERE IsDeleted = 0 """); var parameters = new DynamicParameters(); if (!string.IsNullOrWhiteSpace(criteria.SearchTerm)) { sql.Append(" AND Name LIKE @SearchTerm"); parameters.Add("SearchTerm", $"%{criteria.SearchTerm}%"); } if (criteria.CategoryId.HasValue) { sql.Append(" AND CategoryId = @CategoryId"); parameters.Add("CategoryId", criteria.CategoryId); } if (criteria.MinPrice.HasValue) { sql.Append(" AND Price >= @MinPrice"); parameters.Add("MinPrice", criteria.MinPrice); } if (criteria.MaxPrice.HasValue) { sql.Append(" AND Price <= @MaxPrice"); parameters.Add("MaxPrice", criteria.MaxPrice); } sql.Append(" ORDER BY Name OFFSET @Offset ROWS FETCH NEXT @PageSize ROWS ONLY"); parameters.Add("Offset", (criteria.Page - 1) * criteria.PageSize); parameters.Add("PageSize", criteria.PageSize); var results = await _connection.QueryAsync<Product>( new CommandDefinition(sql.ToString(), parameters, cancellationToken: ct)); return results.ToList(); } // Multi-mapping for related data public async Task<Order?> GetOrderWithItemsAsync(int orderId, CancellationToken ct = default) { const string sql = """ SELECT o.*, oi.*, p.* FROM Orders o LEFT JOIN OrderItems oi ON o.Id = oi.OrderId LEFT JOIN Products p ON oi.ProductId = p.Id WHERE o.Id = @OrderId """; var orderDictionary = new Dictionary<int, Order>(); await _connection.QueryAsync<Order, OrderItem, Product, Order>( new CommandDefinition(sql, new { OrderId = orderId }, cancellationToken: ct), (order, item, product) => { if (!orderDictionary.TryGetValue(order.Id, out var existingOrder)) { existingOrder = order; existingOrder.Items = new List<OrderItem>(); orderDictionary.Add(order.Id, existingOrder); } if (item != null) { item.Product = product; existingOrder.Items.Add(item); } return existingOrder; }, splitOn: "Id,Id"); return orderDictionary.Values.FirstOrDefault(); } } ``` ## Caching Patterns ### Multi-Level Cache with Redis ```csharp public class CachedProductService : IProductService { private readonly IProductRepository _repository; private readonly IMemoryCache _memoryCache; private readonly IDistributedCache _distributedCache; private readonly ILogger<CachedProductService> _logger; private static readonly TimeSpan MemoryCacheDuration = TimeSpan.FromMinutes(1); private static readonly TimeSpan DistributedCacheDuration = TimeSpan.FromMinutes(15); public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default) { var cacheKey = $"product:{id}"; // L1: Memory cache (in-process, fastest) if (_memoryCache.TryGetValue(cacheKey, out Product? cached)) { _logger.LogDebug("L1 cache hit for {CacheKey}", cacheKey); return cached; } // L2: Distributed cache (Redis) var distributed = await _distributedCache.GetStringAsync(cacheKey, ct); if (distributed != null) { _logger.LogDebug("L2 cache hit for {CacheKey}", cacheKey); var product = JsonSerializer.Deserialize<Product>(distributed); // Populate L1 _memoryCache.Set(cacheKey, product, MemoryCacheDuration); return product; } // L3: Database _logger.LogDebug("Cache miss for {CacheKey}, fetching from database", cacheKey); var fromDb = await _repository.GetByIdAsync(id, ct); if (fromDb != null) { var serialized = JsonSerializer.Serialize(fromDb); // Populate both caches await _distributedCache.SetStringAsync( cacheKey, serialized, new DistributedCacheEntryOptions { AbsoluteExpirationRelativeToNow = DistributedCacheDuration }, ct); _memoryCache.Set(cacheKey, fromDb, MemoryCacheDuration); } return fromDb; } public async Task InvalidateAsync(string id, CancellationToken ct = default) { var cacheKey = $"product:{id}"; _memoryCache.Remove(cacheKey); await _distributedCache.RemoveAsync(cacheKey, ct); _logger.LogInformation("Invalidated cache for {CacheKey}", cacheKey); } } // Stale-while-revalidate pattern public class StaleWhileRevalidateCache<T> { private readonly IDistributedCache _cache; private readonly TimeSpan _freshDuration; private readonly TimeSpan _staleDuration; public async Task<T?> GetOrCreateAsync( string key, Func<CancellationToken, Task<T>> factory, CancellationToken ct = default) { var cached = await _cache.GetStringAsync(key, ct); if (cached != null) { var entry = JsonSerializer.Deserialize<CacheEntry<T>>(cached)!; if (entry.IsStale && !entry.IsExpired) { // Return stale data immediately, refresh in background _ = Task.Run(async () => { var fresh = await factory(CancellationToken.None); await SetAsync(key, fresh, CancellationToken.None); }); } if (!entry.IsExpired) return entry.Value; } // Cache miss or expired var value = await factory(ct); await SetAsync(key, value, ct); return value; } private record CacheEntry<TValue>(TValue Value, DateTime CreatedAt) { public bool IsStale => DateTime.UtcNow - CreatedAt > _freshDuration; public bool IsExpired => DateTime.UtcNow - CreatedAt > _staleDuration; } } ``` ## Testing Patterns ### Unit Tests with xUnit and Moq ```csharp public class OrderServiceTests { private readonly Mock<IOrderRepository> _mockRepository; private readonly Mock<IStockService> _mockStockService; private readonly Mock<IValidator<CreateOrderRequest>> _mockValidator; private readonly OrderService _sut; // System Under Test public OrderServiceTests() { _mockRepository = new Mock<IOrderRepository>(); _mockStockService = new Mock<IStockService>(); _mockValidator = new Mock<IValidator<CreateOrderRequest>>(); // Default: validation passes _mockValidator .Setup(v => v.ValidateAsync(It.IsAny<CreateOrderRequest>(), It.IsAny<
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šŸ¤– Auto-discovered
šŸ¤–system prompt•7 months ago

cqrs-implementation

Implement Command Query Responsibility Segregation for scalable

coding
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# CQRS Implementation Comprehensive guide to implementing CQRS (Command Query Responsibility Segregation) patterns. ## When to Use This Skill - Separating read and write concerns - Scaling reads independently from writes - Building event-sourced systems - Optimizing complex query scenarios - Different read/write data models needed - High-performance reporting requirements ## Core Concepts ### 1. CQRS Architecture ``` ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Client │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ │ ā–¼ ā–¼ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Commands │ │ Queries │ │ API │ │ API │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ │ ā–¼ ā–¼ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Command │ │ Query │ │ Handlers │ │ Handlers │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”¬ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ │ │ ā–¼ ā–¼ ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” │ Write │─────────►│ Read │ │ Model │ Events │ Model │ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ā””ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”˜ ``` ### 2. Key Components | Component | Responsibility | | ------------------- | ------------------------------- | | **Command** | Intent to change state | | **Command Handler** | Validates and executes commands | | **Event** | Record of state change | | **Query** | Request for data | | **Query Handler** | Retrieves data from read model | | **Projector** | Updates read model from events | ## Templates ### Template 1: Command Infrastructure ```python from abc import ABC, abstractmethod from dataclasses import dataclass from typing import TypeVar, Generic, Dict, Any, Type from datetime import datetime import uuid # Command base @dataclass class Command: command_id: str = None timestamp: datetime = None def __post_init__(self): self.command_id = self.command_id or str(uuid.uuid4()) self.timestamp = self.timestamp or datetime.utcnow() # Concrete commands @dataclass class CreateOrder(Command): customer_id: str items: list shipping_address: dict @dataclass class AddOrderItem(Command): order_id: str product_id: str quantity: int price: float @dataclass class CancelOrder(Command): order_id: str reason: str # Command handler base T = TypeVar('T', bound=Command) class CommandHandler(ABC, Generic[T]): @abstractmethod async def handle(self, command: T) -> Any: pass # Command bus class CommandBus: def __init__(self): self._handlers: Dict[Type[Command], CommandHandler] = {} def register(self, command_type: Type[Command], handler: CommandHandler): self._handlers[command_type] = handler async def dispatch(self, command: Command) -> Any: handler = self._handlers.get(type(command)) if not handler: raise ValueError(f"No handler for {type(command).__name__}") return await handler.handle(command) # Command handler implementation class CreateOrderHandler(CommandHandler[CreateOrder]): def __init__(self, order_repository, event_store): self.order_repository = order_repository self.event_store = event_store async def handle(self, command: CreateOrder) -> str: # Validate if not command.items: raise ValueError("Order must have at least one item") # Create aggregate order = Order.create( customer_id=command.customer_id, items=command.items, shipping_address=command.shipping_address ) # Persist events await self.event_store.append_events( stream_id=f"Order-{order.id}", stream_type="Order", events=order.uncommitted_events ) return order.id ``` ### Template 2: Query Infrastructure ```python from abc import ABC, abstractmethod from dataclasses import dataclass from typing import TypeVar, Generic, List, Optional # Query base @dataclass class Query: pass # Concrete queries @dataclass class GetOrderById(Query): order_id: str @dataclass class GetCustomerOrders(Query): customer_id: str status: Optional[str] = None page: int = 1 page_size: int = 20 @dataclass class SearchOrders(Query): query: str filters: dict = None sort_by: str = "created_at" sort_order: str = "desc" # Query result types @dataclass class OrderView: order_id: str customer_id: str status: str total_amount: float item_count: int created_at: datetime shipped_at: Optional[datetime] = None @dataclass class PaginatedResult(Generic[T]): items: List[T] total: int page: int page_size: int @property def total_pages(self) -> int: return (self.total + self.page_size - 1) // self.page_size # Query handler base T = TypeVar('T', bound=Query) R = TypeVar('R') class QueryHandler(ABC, Generic[T, R]): @abstractmethod async def handle(self, query: T) -> R: pass # Query bus class QueryBus: def __init__(self): self._handlers: Dict[Type[Query], QueryHandler] = {} def register(self, query_type: Type[Query], handler: QueryHandler): self._handlers[query_type] = handler async def dispatch(self, query: Query) -> Any: handler = self._handlers.get(type(query)) if not handler: raise ValueError(f"No handler for {type(query).__name__}") return await handler.handle(query) # Query handler implementation class GetOrderByIdHandler(QueryHandler[GetOrderById, Optional[OrderView]]): def __init__(self, read_db): self.read_db = read_db async def handle(self, query: GetOrderById) -> Optional[OrderView]: async with self.read_db.acquire() as conn: row = await conn.fetchrow( """ SELECT order_id, customer_id, status, total_amount, item_count, created_at, shipped_at FROM order_views WHERE order_id = $1 """, query.order_id ) if row: return OrderView(**dict(row)) return None class GetCustomerOrdersHandler(QueryHandler[GetCustomerOrders, PaginatedResult[OrderView]]): def __init__(self, read_db): self.read_db = read_db async def handle(self, query: GetCustomerOrders) -> PaginatedResult[OrderView]: async with self.read_db.acquire() as conn: # Build query with optional status filter where_clause = "customer_id = $1" params = [query.customer_id] if query.status: where_clause += " AND status = $2" params.append(query.status) # Get total count total = await conn.fetchval( f"SELECT COUNT(*) FROM order_views WHERE {where_clause}", *params ) # Get paginated results offset = (query.page - 1) * query.page_size rows = await conn.fetch( f""" SELECT order_id, customer_id, status, total_amount, item_count, created_at, shipped_at FROM order_views WHERE {where_clause} ORDER BY created_at DESC LIMIT ${len(params) + 1} OFFSET ${len(params) + 2} """, *params, query.page_size, offset ) return PaginatedResult( items=[OrderView(**dict(row)) for row in rows], total=total, page=query.page, page_size=query.page_size ) ``` ### Template 3: FastAPI CQRS Application ```python from fastapi import FastAPI, HTTPException, Depends from pydantic import BaseModel from typing import List, Optional app = FastAPI() # Request/Response models class CreateOrderRequest(BaseModel): customer_id: str items: List[dict] shipping_address: dict class OrderResponse(BaseModel): order_id: str customer_id: str status: str total_amount: float item_count: int created_at: datetime # Dependency injection def get_command_bus() -> CommandBus: return app.state.command_bus def get_query_bus() -> QueryBus: return app.state.query_bus # Command endpoints (POST, PUT, DELETE) @app.post("/orders", response_model=dict) async def create_order( request: CreateOrderRequest, command_bus: CommandBus = Depends(get_command_bus) ): command = CreateOrder( customer_id=request.customer_id, items=request.items, shipping_address=request.shipping_address ) order_id = await command_bus.dispatch(command) return {"order_id": order_id} @app.post("/orders/{order_id}/items") async def add_item( order_id: str, product_id: str, quantity: int, price: float, command_bus: CommandBus = Depends(get_command_bus) ): command = AddOrderItem( order_id=order_id, product_id=product_id, quantity=quantity, price=price ) await command_bus.dispatch(command) return {"status": "item_added"} @app.delete("/orders/{order_id}") async def cancel_order( order_id: str, reason: str, command_bus: CommandBus = Depends(get_command_bus) ): command = CancelOrder(order_id=order_id, reason=reason) await command_bus.dispatch(command) return {"status": "cancelled"} # Query endpoints (GET) @app.get("/orders/{order_id}", response_model=OrderResponse) async def get_order( order_id: str, query_bus: QueryBus = Depends(get_query_bus) ): query = GetOrderById(order_id=order_id) result = await query_bus.dispatch(query) if not result: raise HTTPException(status_code=404, detail="Order not found") return result @app.get("/customers/{customer_id}/orders") async def get_customer_orders( customer_id: str, status: Optional[str] = None, page: int = 1, page_size: int = 20, query_bus: QueryBus = Depends(get_query_bus) ): query = GetCustomerOrders( customer_id=customer_id, status=status, page=page, page_size=page_size ) return await query_bus.dispatch(query) @app.get("/orders/search") async def search_orders( q: str, sort_by: str = "created_at", query_bus: QueryBus = Depends(get_query_bus) ): query = SearchOrders(query=q, sort_by=sort_by) return await query_bus.dispatch(query) ``` ### Template 4: Read Model Synchronization ```python class ReadModelSynchronizer: """Keeps read models in sync with events.""" def __init__(self, event_store, read_db, projections: List[Projection]): self.event_store = event_store self.read_db = read_db self.projections = {p.name: p for p in projections} async def run(self): """Continuously sync read models.""" while True: for name, projection in self.projections.items(): await self._sync_projection(projection) await asyncio.sleep(0.1) async def _sync_projection(self, projection: Projection): checkpoint = await self._get_checkpoint(projection.name) events = await self.event_store.read_all( from_position=checkpoint, limit=100 ) for event in events: if event.event_type in projection.handles(): try: await projection.apply(event) except Exception as e: # Log error, possibly retry or skip logger.error(f"Projection error: {e}") continue await self._save_checkpoint(projection.name, event.global_position) async def rebuild_projection(self, projection_name: str): """Rebuild a projection from scratch.""" projection = self.projections[projection_name] # Clear existing data await projection.clear() # Reset checkpoint await self._save_checkpoint(projection_name, 0) # Rebuild while True: checkpoint = await self._get_checkpoint(projection_name) events = await self.event_store.read_all(checkpoint, 1000) if not events: break for event in events: if event.event_type in projection.handles(): await projection.apply(event) await self._save_checkpoint( projection_name, events[-1].global_position ) ``` ### Template 5: Eventual Consistency Handling ```python class ConsistentQueryHandler: """Query handler that can wait for consistency.""" def __init__(self, read_db, event_store): self.read_db = read_db self.event_store = event_store async def query_after_command( self, query: Query, expected_version: int, stream_id: str, timeout: float = 5.0 ): """ Execute query, ensuring read model is at expected version. Used for read-your-writes consistency. """ start_time = time.time() while time.time() - start_time < timeout: # Check if read model is caught up projection_version = await self._get_projection_version(stream_id) if projection_version >= expected_version: return await self.execute_query(query) # Wait a bit and retry await asyncio.sleep(0.1) # Timeout - return stale data with warning return { "data": await self.execute_query(query), "_warning": "Data may be stale" } async def _get_projection_version(self, stream_id: str) -> int: """Get the last processed event version for a stream.""" async with self.read_db.acquire() as conn: return await conn.fetchval( "SELECT last_event_version FROM projection_state WHERE stream_id = $1", stream_id ) or 0 ``` ## Best Practices ### Do's - **Separate command and query models** - Different needs - **Use eventual consistency** - Accept propagation delay - **Validate in command handlers** - Before state change - **Denormalize read models** - Optimize for queries - **Version your events** - For schema evolution ### Don'ts - **Don't query in commands** - Use only for writes - **Don't couple read/write schemas** - Independent evolution - **Don't over-engineer** - Start simple - **Don't ignore consistency SLAs** - Define acceptable lag ## Resources - [CQRS Pattern](https://martinfowler.com/bliki/CQRS.html) - [Microsoft CQRS Guidance](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)
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