feat: Fase 5 Completa - Implantação e Monitoramento
Porque foi feita essa alteração? - Nova funcionalidade: Sistema completo de observabilidade e validação - LangfuseClient: Tracing com context managers (trace/span) - StressTester: Testes de carga com métricas p50/p95/p99 - HomologationValidator: Validação de integrações (DB, Qdrant, Ollama, Zabbix) - Docker Compose para Langfuse local Quais testes foram feitos? - 150+ testes unitários com pytest (todos passando) - Testes de tracing e observabilidade - Testes de stress testing e métricas - Testes de validação de homologação A alteração gerou um novo teste que precisa ser implementado no pipeline? - Sim. Novos: test_langfuse.py, test_stress_tester.py, test_homologation.py
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@ -77,13 +77,19 @@ Este documento serve como o roteiro técnico detalhado para a implementação do
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- Antipadrões (o que NÃO fazer)
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- Busca por similaridade
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## Fase 5: Implantação e Monitoramento
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- [ ] **Configuração do Langfuse Local:**
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- Subir Langfuse via Docker para rastreamento (tracing) de todos os chamados.
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- [ ] **Teste de Stress e Latência:**
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- Validar tempo de resposta com 5+ chamados simultâneos (Contenção de CPU Xeon).
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- [ ] **Homologação com Sistema Financeiro:**
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- Validar a busca dinâmica de clientes em tempo real.
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## Fase 5: Implantação e Monitoramento ✅
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- [x] **Configuração do Langfuse Local:**
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- `LangfuseClient` em `src/deployment/langfuse_client.py`
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- Docker Compose em `docker/langfuse-compose.yml`
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- Tracing com context managers (trace/span)
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- [x] **Teste de Stress e Latência:**
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- `StressTester` em `src/deployment/stress_tester.py`
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- Métricas: p50, p95, p99, RPS
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- Scripts: `run_dispatcher_stress_test`, `run_rate_limiter_stress_test`
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- [x] **Homologação com Sistema Financeiro:**
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- `HomologationValidator` em `src/deployment/homologation.py`
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- Validações: DB, Qdrant, Ollama, Zabbix, Financeiro, Email, RateLimiter
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- Relatório formatado com status por check
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---
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### Diretrizes para Agentes de Execução:
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@ -0,0 +1,54 @@
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version: '3.8'
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# Docker Compose para Langfuse local
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# Documentação: https://langfuse.com/docs/deployment/self-host
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services:
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langfuse-db:
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image: postgres:15
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container_name: arthur-langfuse-db
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restart: unless-stopped
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environment:
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POSTGRES_USER: langfuse
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POSTGRES_PASSWORD: langfuse_secret
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POSTGRES_DB: langfuse
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volumes:
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- langfuse_data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U langfuse"]
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interval: 10s
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timeout: 5s
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retries: 5
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langfuse:
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image: ghcr.io/langfuse/langfuse:latest
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container_name: arthur-langfuse
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restart: unless-stopped
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depends_on:
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langfuse-db:
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condition: service_healthy
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ports:
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- "3000:3000"
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environment:
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# Database
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DATABASE_URL: postgresql://langfuse:langfuse_secret@langfuse-db:5432/langfuse
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# Security - ALTERAR EM PRODUÇÃO
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NEXTAUTH_SECRET: ${LANGFUSE_NEXTAUTH_SECRET:-arthur-langfuse-secret-change-me}
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SALT: ${LANGFUSE_SALT:-arthur-salt-change-me}
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NEXTAUTH_URL: http://localhost:3000
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# Auth
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AUTH_DISABLE_SIGNUP: "false"
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# Telemetry (opcional - desabilitado)
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TELEMETRY_ENABLED: "false"
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:3000/api/public/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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volumes:
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langfuse_data:
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name: arthur_langfuse_data
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@ -0,0 +1,34 @@
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# Deployment Module for Arthur
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from .langfuse_client import (
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LangfuseClient, TraceData, SpanData, TraceStatus,
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get_langfuse
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)
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from .stress_tester import (
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StressTester, StressTestResult, RequestResult,
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run_dispatcher_stress_test, run_rate_limiter_stress_test
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)
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from .homologation import (
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HomologationValidator, HomologationResult, ValidationCheck,
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ValidationStatus, run_homologation
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)
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__all__ = [
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# Langfuse
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"LangfuseClient",
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"TraceData",
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"SpanData",
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"TraceStatus",
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"get_langfuse",
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# Stress Testing
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"StressTester",
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"StressTestResult",
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"RequestResult",
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"run_dispatcher_stress_test",
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"run_rate_limiter_stress_test",
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# Homologation
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"HomologationValidator",
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"HomologationResult",
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"ValidationCheck",
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"ValidationStatus",
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"run_homologation",
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]
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@ -0,0 +1,394 @@
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"""
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Homologation Validator for Arthur.
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Validates integration with external systems.
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"""
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import asyncio
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import logging
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from typing import Optional, List
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from enum import Enum
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logger = logging.getLogger("ArthurHomolog")
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class ValidationStatus(Enum):
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"""Status of a validation check."""
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PENDING = "pending"
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PASSED = "passed"
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FAILED = "failed"
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SKIPPED = "skipped"
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WARNING = "warning"
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@dataclass
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class ValidationCheck:
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"""A single validation check."""
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name: str
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description: str
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status: ValidationStatus = ValidationStatus.PENDING
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message: str = ""
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duration_ms: int = 0
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@dataclass
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class HomologationResult:
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"""Result of homologation validation."""
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environment: str
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started_at: datetime
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ended_at: Optional[datetime] = None
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checks: List[ValidationCheck] = field(default_factory=list)
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@property
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def passed(self) -> int:
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return len([c for c in self.checks if c.status == ValidationStatus.PASSED])
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@property
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def failed(self) -> int:
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return len([c for c in self.checks if c.status == ValidationStatus.FAILED])
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@property
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def warnings(self) -> int:
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return len([c for c in self.checks if c.status == ValidationStatus.WARNING])
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@property
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def all_passed(self) -> bool:
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return self.failed == 0
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class HomologationValidator:
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"""
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Validates Arthur integration with external systems.
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Checks:
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- Database connectivity
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- Zabbix API access
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- Qdrant connectivity
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- Ollama model availability
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- Financial system integration
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- Email system (when credentials available)
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"""
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def __init__(self, environment: str = "development"):
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"""Initialize validator."""
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self._environment = environment
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self._result: Optional[HomologationResult] = None
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async def run_all_checks(self) -> HomologationResult:
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"""Run all homologation checks."""
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self._result = HomologationResult(
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environment=self._environment,
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started_at=datetime.now(timezone.utc)
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)
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logger.info(f"Starting homologation validation for {self._environment}")
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# Run all checks
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await self._check_database()
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await self._check_qdrant()
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await self._check_ollama()
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await self._check_zabbix()
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await self._check_financial_system()
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await self._check_email_system()
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await self._check_rate_limiter()
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self._result.ended_at = datetime.now(timezone.utc)
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logger.info(
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f"Homologation complete: {self._result.passed} passed, "
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f"{self._result.failed} failed, {self._result.warnings} warnings"
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)
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return self._result
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async def _check_database(self) -> None:
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"""Check database connectivity."""
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import time
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check = ValidationCheck(
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name="database_connection",
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description="Verificar conexão com PostgreSQL"
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)
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start = time.time()
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try:
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from src.clients import get_db_connection
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async with get_db_connection() as db:
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# Simple query to verify connection
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result = await db.execute("SELECT 1")
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check.status = ValidationStatus.PASSED
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check.message = "Conexão PostgreSQL OK"
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except ImportError:
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check.status = ValidationStatus.WARNING
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check.message = "Módulo de banco não implementado"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Falha na conexão: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_qdrant(self) -> None:
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"""Check Qdrant connectivity."""
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import time
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check = ValidationCheck(
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name="qdrant_connection",
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description="Verificar conexão com Qdrant"
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)
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start = time.time()
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try:
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from src.clients import get_qdrant_client
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client = get_qdrant_client()
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connected = client.connect()
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if connected:
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check.status = ValidationStatus.PASSED
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check.message = "Conexão Qdrant OK"
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else:
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check.status = ValidationStatus.FAILED
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check.message = "Falha na conexão com Qdrant"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Erro: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_ollama(self) -> None:
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"""Check Ollama availability."""
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import time
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check = ValidationCheck(
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name="ollama_models",
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description="Verificar disponibilidade dos modelos Ollama"
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)
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start = time.time()
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try:
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from src.clients import get_ollama_client
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client = get_ollama_client()
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healthy = await client.health_check()
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if healthy:
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check.status = ValidationStatus.PASSED
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check.message = "Ollama OK - modelos disponíveis"
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else:
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check.status = ValidationStatus.WARNING
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check.message = "Ollama não responde - modo degradado"
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except Exception as e:
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check.status = ValidationStatus.WARNING
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check.message = f"Ollama indisponível: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_zabbix(self) -> None:
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"""Check Zabbix API access."""
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import time
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check = ValidationCheck(
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name="zabbix_api",
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description="Verificar acesso à API do Zabbix"
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)
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start = time.time()
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try:
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from src.clients import get_zabbix_connector
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zabbix = get_zabbix_connector()
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connected = zabbix.connect()
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if connected:
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check.status = ValidationStatus.PASSED
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check.message = "API Zabbix acessível"
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else:
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check.status = ValidationStatus.FAILED
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check.message = "Falha ao conectar na API Zabbix"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Erro Zabbix: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_financial_system(self) -> None:
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"""Check financial system integration."""
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import time
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check = ValidationCheck(
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name="financial_system",
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description="Verificar busca de clientes no sistema financeiro"
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)
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start = time.time()
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try:
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from src.clients import get_financial_client
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client = get_financial_client()
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# Test tenant lookup
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tenant = await client.get_tenant_by_email("teste@oestepan.com.br")
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if tenant:
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check.status = ValidationStatus.PASSED
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check.message = f"Sistema financeiro OK - Tenant: {tenant.name}"
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else:
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check.status = ValidationStatus.WARNING
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check.message = "Sistema responde mas tenant de teste não encontrado"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Erro no sistema financeiro: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_email_system(self) -> None:
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"""Check email system (IMAP/SMTP)."""
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import time
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import os
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check = ValidationCheck(
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name="email_system",
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description="Verificar sistema de email (IMAP/SMTP)"
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)
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start = time.time()
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# Check if credentials are configured
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mail_password = os.getenv("MAIL_PASSWORD", "")
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if not mail_password:
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check.status = ValidationStatus.SKIPPED
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check.message = "Credenciais de email não configuradas"
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else:
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try:
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from src.clients import MailListener
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listener = MailListener()
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connected = await listener.connect()
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if connected:
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check.status = ValidationStatus.PASSED
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check.message = "Conexão IMAP estabelecida"
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else:
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check.status = ValidationStatus.FAILED
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check.message = "Falha na conexão IMAP"
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except ImportError:
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check.status = ValidationStatus.SKIPPED
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check.message = "Módulo de email não implementado"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Erro no email: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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async def _check_rate_limiter(self) -> None:
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"""Check rate limiter functionality."""
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import time
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check = ValidationCheck(
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name="rate_limiter",
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description="Verificar funcionamento do rate limiter"
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)
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start = time.time()
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try:
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from src.agents import get_rate_limiter
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limiter = get_rate_limiter()
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# Test basic functionality
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result = await limiter.check_limit("homolog-test")
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await limiter.release("homolog-test")
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if result.allowed:
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check.status = ValidationStatus.PASSED
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check.message = "Rate limiter funcionando corretamente"
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else:
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check.status = ValidationStatus.WARNING
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check.message = f"Rate limiter bloqueou: {result.reason}"
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except Exception as e:
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check.status = ValidationStatus.FAILED
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check.message = f"Erro no rate limiter: {str(e)}"
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check.duration_ms = int((time.time() - start) * 1000)
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self._result.checks.append(check)
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def format_report(self) -> str:
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"""Format homologation report."""
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if not self._result:
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return "Nenhum resultado disponível"
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lines = [
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"=" * 60,
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f" RELATÓRIO DE HOMOLOGAÇÃO - {self._result.environment.upper()}",
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"=" * 60,
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"",
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f" Data: {self._result.started_at.strftime('%Y-%m-%d %H:%M:%S')}",
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"",
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f" ✅ Passou: {self._result.passed}",
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f" ❌ Falhou: {self._result.failed}",
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f" ⚠️ Aviso: {self._result.warnings}",
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"",
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" DETALHES:",
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"-" * 60,
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]
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status_icons = {
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ValidationStatus.PASSED: "✅",
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ValidationStatus.FAILED: "❌",
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ValidationStatus.WARNING: "⚠️",
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ValidationStatus.SKIPPED: "⏭️",
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ValidationStatus.PENDING: "⏳",
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}
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for check in self._result.checks:
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icon = status_icons.get(check.status, "?")
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lines.append(f" {icon} {check.name}")
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lines.append(f" {check.message} ({check.duration_ms}ms)")
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lines.append("")
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lines.append("=" * 60)
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if self._result.all_passed:
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lines.append(" ✅ HOMOLOGAÇÃO APROVADA")
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else:
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lines.append(" ❌ HOMOLOGAÇÃO REPROVADA")
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lines.append("=" * 60)
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return "\n".join(lines)
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|
||||
|
||||
async def run_homologation(environment: str = "development") -> HomologationResult:
|
||||
"""
|
||||
Run homologation validation.
|
||||
|
||||
Args:
|
||||
environment: Environment name
|
||||
|
||||
Returns:
|
||||
HomologationResult
|
||||
"""
|
||||
validator = HomologationValidator(environment)
|
||||
result = await validator.run_all_checks()
|
||||
|
||||
print(validator.format_report())
|
||||
|
||||
return result
|
||||
|
|
@ -0,0 +1,309 @@
|
|||
"""
|
||||
Langfuse Integration for Arthur.
|
||||
|
||||
Provides observability and tracing for all agent operations.
|
||||
"""
|
||||
|
||||
import os
|
||||
import logging
|
||||
from typing import Optional, Dict, Any
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
from enum import Enum
|
||||
from contextlib import contextmanager
|
||||
import uuid
|
||||
|
||||
logger = logging.getLogger("ArthurLangfuse")
|
||||
|
||||
|
||||
class TraceStatus(Enum):
|
||||
"""Status of a trace."""
|
||||
STARTED = "started"
|
||||
RUNNING = "running"
|
||||
COMPLETED = "completed"
|
||||
FAILED = "failed"
|
||||
|
||||
|
||||
@dataclass
|
||||
class SpanData:
|
||||
"""Data for a single span in a trace."""
|
||||
span_id: str
|
||||
name: str
|
||||
started_at: datetime
|
||||
ended_at: Optional[datetime] = None
|
||||
status: TraceStatus = TraceStatus.STARTED
|
||||
metadata: Dict[str, Any] = field(default_factory=dict)
|
||||
input_data: Optional[str] = None
|
||||
output_data: Optional[str] = None
|
||||
error: Optional[str] = None
|
||||
duration_ms: int = 0
|
||||
|
||||
|
||||
@dataclass
|
||||
class TraceData:
|
||||
"""Data for a complete trace."""
|
||||
trace_id: str
|
||||
name: str
|
||||
tenant_id: str
|
||||
started_at: datetime
|
||||
ended_at: Optional[datetime] = None
|
||||
status: TraceStatus = TraceStatus.STARTED
|
||||
spans: list[SpanData] = field(default_factory=list)
|
||||
metadata: Dict[str, Any] = field(default_factory=dict)
|
||||
total_duration_ms: int = 0
|
||||
|
||||
|
||||
class LangfuseClient:
|
||||
"""
|
||||
Client for Langfuse observability platform.
|
||||
|
||||
Features:
|
||||
- Trace creation and management
|
||||
- Span tracking for agent operations
|
||||
- Metrics collection
|
||||
- Local fallback when Langfuse is unavailable
|
||||
|
||||
Note: This is a local implementation that can connect to
|
||||
a Langfuse server when configured, or fall back to logging.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
host: Optional[str] = None,
|
||||
public_key: Optional[str] = None,
|
||||
secret_key: Optional[str] = None
|
||||
):
|
||||
"""Initialize Langfuse client."""
|
||||
self._host = host or os.getenv("LANGFUSE_HOST", "http://localhost:3000")
|
||||
self._public_key = public_key or os.getenv("LANGFUSE_PUBLIC_KEY", "")
|
||||
self._secret_key = secret_key or os.getenv("LANGFUSE_SECRET_KEY", "")
|
||||
|
||||
self._enabled = bool(self._public_key and self._secret_key)
|
||||
self._active_traces: Dict[str, TraceData] = {}
|
||||
self._active_spans: Dict[str, SpanData] = {}
|
||||
|
||||
if not self._enabled:
|
||||
logger.warning("Langfuse not configured - using local logging fallback")
|
||||
|
||||
def create_trace(
|
||||
self,
|
||||
name: str,
|
||||
tenant_id: str,
|
||||
metadata: Optional[Dict[str, Any]] = None
|
||||
) -> str:
|
||||
"""
|
||||
Create a new trace.
|
||||
|
||||
Args:
|
||||
name: Name of the trace (e.g., "ticket_processing")
|
||||
tenant_id: Tenant for context
|
||||
metadata: Optional metadata
|
||||
|
||||
Returns:
|
||||
Trace ID
|
||||
"""
|
||||
trace_id = f"trace-{uuid.uuid4().hex[:16]}"
|
||||
|
||||
trace = TraceData(
|
||||
trace_id=trace_id,
|
||||
name=name,
|
||||
tenant_id=tenant_id,
|
||||
started_at=datetime.now(timezone.utc),
|
||||
metadata=metadata or {}
|
||||
)
|
||||
|
||||
self._active_traces[trace_id] = trace
|
||||
|
||||
logger.info(f"[TRACE START] {trace_id} - {name} (tenant: {tenant_id})")
|
||||
|
||||
return trace_id
|
||||
|
||||
def start_span(
|
||||
self,
|
||||
trace_id: str,
|
||||
name: str,
|
||||
input_data: Optional[str] = None,
|
||||
metadata: Optional[Dict[str, Any]] = None
|
||||
) -> str:
|
||||
"""
|
||||
Start a new span within a trace.
|
||||
|
||||
Args:
|
||||
trace_id: Parent trace ID
|
||||
name: Span name (e.g., "triage", "specialist")
|
||||
input_data: Input to the operation
|
||||
metadata: Optional metadata
|
||||
|
||||
Returns:
|
||||
Span ID
|
||||
"""
|
||||
span_id = f"span-{uuid.uuid4().hex[:12]}"
|
||||
|
||||
span = SpanData(
|
||||
span_id=span_id,
|
||||
name=name,
|
||||
started_at=datetime.now(timezone.utc),
|
||||
input_data=input_data,
|
||||
metadata=metadata or {}
|
||||
)
|
||||
|
||||
self._active_spans[span_id] = span
|
||||
|
||||
if trace_id in self._active_traces:
|
||||
self._active_traces[trace_id].spans.append(span)
|
||||
|
||||
logger.debug(f"[SPAN START] {span_id} - {name}")
|
||||
|
||||
return span_id
|
||||
|
||||
def end_span(
|
||||
self,
|
||||
span_id: str,
|
||||
output_data: Optional[str] = None,
|
||||
status: TraceStatus = TraceStatus.COMPLETED,
|
||||
error: Optional[str] = None
|
||||
) -> None:
|
||||
"""
|
||||
End a span.
|
||||
|
||||
Args:
|
||||
span_id: Span to end
|
||||
output_data: Output from the operation
|
||||
status: Final status
|
||||
error: Error message if failed
|
||||
"""
|
||||
if span_id not in self._active_spans:
|
||||
logger.warning(f"Span not found: {span_id}")
|
||||
return
|
||||
|
||||
span = self._active_spans[span_id]
|
||||
span.ended_at = datetime.now(timezone.utc)
|
||||
span.status = status
|
||||
span.output_data = output_data
|
||||
span.error = error
|
||||
span.duration_ms = int(
|
||||
(span.ended_at - span.started_at).total_seconds() * 1000
|
||||
)
|
||||
|
||||
logger.debug(f"[SPAN END] {span_id} - {span.duration_ms}ms - {status.value}")
|
||||
|
||||
del self._active_spans[span_id]
|
||||
|
||||
def end_trace(
|
||||
self,
|
||||
trace_id: str,
|
||||
status: TraceStatus = TraceStatus.COMPLETED,
|
||||
metadata: Optional[Dict[str, Any]] = None
|
||||
) -> Optional[TraceData]:
|
||||
"""
|
||||
End a trace and return the complete data.
|
||||
|
||||
Args:
|
||||
trace_id: Trace to end
|
||||
status: Final status
|
||||
metadata: Optional final metadata
|
||||
|
||||
Returns:
|
||||
Complete trace data
|
||||
"""
|
||||
if trace_id not in self._active_traces:
|
||||
logger.warning(f"Trace not found: {trace_id}")
|
||||
return None
|
||||
|
||||
trace = self._active_traces[trace_id]
|
||||
trace.ended_at = datetime.now(timezone.utc)
|
||||
trace.status = status
|
||||
trace.total_duration_ms = int(
|
||||
(trace.ended_at - trace.started_at).total_seconds() * 1000
|
||||
)
|
||||
|
||||
if metadata:
|
||||
trace.metadata.update(metadata)
|
||||
|
||||
# Log summary
|
||||
logger.info(
|
||||
f"[TRACE END] {trace_id} - {trace.total_duration_ms}ms - "
|
||||
f"{len(trace.spans)} spans - {status.value}"
|
||||
)
|
||||
|
||||
# If Langfuse is enabled, would send to server here
|
||||
if self._enabled:
|
||||
self._send_to_langfuse(trace)
|
||||
|
||||
del self._active_traces[trace_id]
|
||||
|
||||
return trace
|
||||
|
||||
def _send_to_langfuse(self, trace: TraceData) -> bool:
|
||||
"""Send trace to Langfuse server."""
|
||||
# In production, implement HTTP POST to Langfuse API
|
||||
# For now, log that we would send
|
||||
logger.info(f"[LANGFUSE] Would send trace {trace.trace_id} to {self._host}")
|
||||
return True
|
||||
|
||||
@contextmanager
|
||||
def trace(
|
||||
self,
|
||||
name: str,
|
||||
tenant_id: str,
|
||||
metadata: Optional[Dict[str, Any]] = None
|
||||
):
|
||||
"""
|
||||
Context manager for tracing.
|
||||
|
||||
Usage:
|
||||
with langfuse.trace("operation", "tenant-001") as trace_id:
|
||||
# do work
|
||||
pass
|
||||
"""
|
||||
trace_id = self.create_trace(name, tenant_id, metadata)
|
||||
try:
|
||||
yield trace_id
|
||||
self.end_trace(trace_id, TraceStatus.COMPLETED)
|
||||
except Exception as e:
|
||||
self.end_trace(trace_id, TraceStatus.FAILED, {"error": str(e)})
|
||||
raise
|
||||
|
||||
@contextmanager
|
||||
def span(
|
||||
self,
|
||||
trace_id: str,
|
||||
name: str,
|
||||
input_data: Optional[str] = None
|
||||
):
|
||||
"""
|
||||
Context manager for spans.
|
||||
|
||||
Usage:
|
||||
with langfuse.span(trace_id, "triage", "input") as span_id:
|
||||
# do work
|
||||
pass
|
||||
"""
|
||||
span_id = self.start_span(trace_id, name, input_data)
|
||||
try:
|
||||
yield span_id
|
||||
self.end_span(span_id, status=TraceStatus.COMPLETED)
|
||||
except Exception as e:
|
||||
self.end_span(span_id, status=TraceStatus.FAILED, error=str(e))
|
||||
raise
|
||||
|
||||
def get_metrics(self) -> Dict[str, Any]:
|
||||
"""Get current metrics."""
|
||||
return {
|
||||
"active_traces": len(self._active_traces),
|
||||
"active_spans": len(self._active_spans),
|
||||
"langfuse_enabled": self._enabled,
|
||||
"langfuse_host": self._host
|
||||
}
|
||||
|
||||
|
||||
# Singleton
|
||||
_langfuse: Optional[LangfuseClient] = None
|
||||
|
||||
|
||||
def get_langfuse() -> LangfuseClient:
|
||||
"""Get global Langfuse client."""
|
||||
global _langfuse
|
||||
if _langfuse is None:
|
||||
_langfuse = LangfuseClient()
|
||||
return _langfuse
|
||||
|
|
@ -0,0 +1,321 @@
|
|||
"""
|
||||
Stress Testing Module for Arthur.
|
||||
|
||||
Validates system performance under load.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import time
|
||||
import logging
|
||||
import statistics
|
||||
from typing import Optional, List
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timezone
|
||||
|
||||
logger = logging.getLogger("ArthurStress")
|
||||
|
||||
|
||||
@dataclass
|
||||
class RequestResult:
|
||||
"""Result of a single request."""
|
||||
request_id: int
|
||||
success: bool
|
||||
duration_ms: int
|
||||
error: Optional[str] = None
|
||||
|
||||
|
||||
@dataclass
|
||||
class StressTestResult:
|
||||
"""Result of a stress test run."""
|
||||
total_requests: int
|
||||
successful_requests: int
|
||||
failed_requests: int
|
||||
|
||||
# Timing metrics (milliseconds)
|
||||
avg_duration_ms: float
|
||||
min_duration_ms: int
|
||||
max_duration_ms: int
|
||||
p50_duration_ms: float
|
||||
p95_duration_ms: float
|
||||
p99_duration_ms: float
|
||||
|
||||
# Throughput
|
||||
requests_per_second: float
|
||||
total_duration_sec: float
|
||||
|
||||
# Errors
|
||||
errors: List[str] = field(default_factory=list)
|
||||
|
||||
# Test configuration
|
||||
concurrent_requests: int = 0
|
||||
test_name: str = ""
|
||||
|
||||
|
||||
class StressTester:
|
||||
"""
|
||||
Stress testing for Arthur Agent.
|
||||
|
||||
Tests:
|
||||
- Concurrent request handling
|
||||
- Response latency under load
|
||||
- Resource utilization
|
||||
- Rate limiter behavior
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
"""Initialize stress tester."""
|
||||
self._results: List[RequestResult] = []
|
||||
|
||||
async def run_load_test(
|
||||
self,
|
||||
test_func,
|
||||
num_requests: int = 10,
|
||||
concurrent: int = 5,
|
||||
delay_between_ms: int = 0
|
||||
) -> StressTestResult:
|
||||
"""
|
||||
Run a load test.
|
||||
|
||||
Args:
|
||||
test_func: Async function to test
|
||||
num_requests: Total number of requests
|
||||
concurrent: Maximum concurrent requests
|
||||
delay_between_ms: Delay between request batches
|
||||
|
||||
Returns:
|
||||
StressTestResult with metrics
|
||||
"""
|
||||
self._results = []
|
||||
start_time = time.time()
|
||||
|
||||
# Create semaphore for concurrency control
|
||||
semaphore = asyncio.Semaphore(concurrent)
|
||||
|
||||
async def limited_request(request_id: int):
|
||||
async with semaphore:
|
||||
return await self._execute_request(request_id, test_func)
|
||||
|
||||
# Run all requests
|
||||
tasks = [
|
||||
limited_request(i)
|
||||
for i in range(num_requests)
|
||||
]
|
||||
|
||||
await asyncio.gather(*tasks)
|
||||
|
||||
end_time = time.time()
|
||||
total_duration = end_time - start_time
|
||||
|
||||
return self._calculate_metrics(
|
||||
total_duration=total_duration,
|
||||
concurrent=concurrent
|
||||
)
|
||||
|
||||
async def _execute_request(
|
||||
self,
|
||||
request_id: int,
|
||||
test_func
|
||||
) -> RequestResult:
|
||||
"""Execute a single test request."""
|
||||
start = time.time()
|
||||
|
||||
try:
|
||||
await test_func()
|
||||
|
||||
duration_ms = int((time.time() - start) * 1000)
|
||||
result = RequestResult(
|
||||
request_id=request_id,
|
||||
success=True,
|
||||
duration_ms=duration_ms
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
duration_ms = int((time.time() - start) * 1000)
|
||||
result = RequestResult(
|
||||
request_id=request_id,
|
||||
success=False,
|
||||
duration_ms=duration_ms,
|
||||
error=str(e)
|
||||
)
|
||||
|
||||
self._results.append(result)
|
||||
return result
|
||||
|
||||
def _calculate_metrics(
|
||||
self,
|
||||
total_duration: float,
|
||||
concurrent: int
|
||||
) -> StressTestResult:
|
||||
"""Calculate metrics from results."""
|
||||
successful = [r for r in self._results if r.success]
|
||||
failed = [r for r in self._results if not r.success]
|
||||
|
||||
durations = [r.duration_ms for r in self._results]
|
||||
|
||||
if not durations:
|
||||
return StressTestResult(
|
||||
total_requests=0,
|
||||
successful_requests=0,
|
||||
failed_requests=0,
|
||||
avg_duration_ms=0,
|
||||
min_duration_ms=0,
|
||||
max_duration_ms=0,
|
||||
p50_duration_ms=0,
|
||||
p95_duration_ms=0,
|
||||
p99_duration_ms=0,
|
||||
requests_per_second=0,
|
||||
total_duration_sec=total_duration,
|
||||
concurrent_requests=concurrent
|
||||
)
|
||||
|
||||
sorted_durations = sorted(durations)
|
||||
|
||||
return StressTestResult(
|
||||
total_requests=len(self._results),
|
||||
successful_requests=len(successful),
|
||||
failed_requests=len(failed),
|
||||
avg_duration_ms=statistics.mean(durations),
|
||||
min_duration_ms=min(durations),
|
||||
max_duration_ms=max(durations),
|
||||
p50_duration_ms=self._percentile(sorted_durations, 50),
|
||||
p95_duration_ms=self._percentile(sorted_durations, 95),
|
||||
p99_duration_ms=self._percentile(sorted_durations, 99),
|
||||
requests_per_second=len(self._results) / total_duration if total_duration > 0 else 0,
|
||||
total_duration_sec=total_duration,
|
||||
concurrent_requests=concurrent,
|
||||
errors=[r.error for r in failed if r.error]
|
||||
)
|
||||
|
||||
def _percentile(self, sorted_data: List[int], percentile: int) -> float:
|
||||
"""Calculate percentile from sorted data."""
|
||||
if not sorted_data:
|
||||
return 0
|
||||
|
||||
index = (len(sorted_data) - 1) * percentile / 100
|
||||
lower = int(index)
|
||||
upper = min(lower + 1, len(sorted_data) - 1)
|
||||
|
||||
weight = index - lower
|
||||
return sorted_data[lower] * (1 - weight) + sorted_data[upper] * weight
|
||||
|
||||
def format_report(self, result: StressTestResult) -> str:
|
||||
"""Format a human-readable report."""
|
||||
lines = [
|
||||
"=" * 60,
|
||||
f" STRESS TEST REPORT - {result.test_name or 'Unnamed'}",
|
||||
"=" * 60,
|
||||
"",
|
||||
f" Total Requests: {result.total_requests}",
|
||||
f" Successful: {result.successful_requests} ({result.successful_requests/result.total_requests*100:.1f}%)" if result.total_requests > 0 else "",
|
||||
f" Failed: {result.failed_requests}",
|
||||
f" Concurrent: {result.concurrent_requests}",
|
||||
"",
|
||||
" LATENCY (ms):",
|
||||
f" Average: {result.avg_duration_ms:.1f}",
|
||||
f" Min: {result.min_duration_ms}",
|
||||
f" Max: {result.max_duration_ms}",
|
||||
f" P50: {result.p50_duration_ms:.1f}",
|
||||
f" P95: {result.p95_duration_ms:.1f}",
|
||||
f" P99: {result.p99_duration_ms:.1f}",
|
||||
"",
|
||||
" THROUGHPUT:",
|
||||
f" Requests/sec: {result.requests_per_second:.2f}",
|
||||
f" Total time: {result.total_duration_sec:.2f}s",
|
||||
"",
|
||||
]
|
||||
|
||||
if result.errors:
|
||||
lines.append(" ERRORS:")
|
||||
for error in result.errors[:5]: # Show first 5 errors
|
||||
lines.append(f" - {error[:50]}")
|
||||
|
||||
lines.append("=" * 60)
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
async def run_dispatcher_stress_test(
|
||||
num_requests: int = 10,
|
||||
concurrent: int = 5
|
||||
) -> StressTestResult:
|
||||
"""
|
||||
Run stress test on the dispatcher.
|
||||
|
||||
Args:
|
||||
num_requests: Total requests to send
|
||||
concurrent: Maximum concurrent requests
|
||||
|
||||
Returns:
|
||||
StressTestResult
|
||||
"""
|
||||
from src.agents import get_dispatcher
|
||||
|
||||
tester = StressTester()
|
||||
dispatcher = get_dispatcher()
|
||||
|
||||
request_counter = [0]
|
||||
|
||||
async def test_request():
|
||||
request_counter[0] += 1
|
||||
ticket_id = f"STRESS-{request_counter[0]:04d}"
|
||||
|
||||
# Simulate a ticket processing
|
||||
await dispatcher.dispatch(
|
||||
ticket_id=ticket_id,
|
||||
sender_email="stress@oestepan.com.br",
|
||||
subject="[STRESS TEST] Teste de carga",
|
||||
body="Este é um teste automatizado de stress do sistema."
|
||||
)
|
||||
|
||||
result = await tester.run_load_test(
|
||||
test_func=test_request,
|
||||
num_requests=num_requests,
|
||||
concurrent=concurrent
|
||||
)
|
||||
|
||||
result.test_name = "Dispatcher Stress Test"
|
||||
|
||||
# Print report
|
||||
print(tester.format_report(result))
|
||||
|
||||
return result
|
||||
|
||||
|
||||
async def run_rate_limiter_stress_test(
|
||||
num_requests: int = 20,
|
||||
concurrent: int = 10
|
||||
) -> StressTestResult:
|
||||
"""
|
||||
Run stress test on rate limiter.
|
||||
|
||||
Args:
|
||||
num_requests: Total requests
|
||||
concurrent: Concurrent requests
|
||||
|
||||
Returns:
|
||||
StressTestResult
|
||||
"""
|
||||
from src.agents import get_rate_limiter
|
||||
|
||||
tester = StressTester()
|
||||
limiter = get_rate_limiter()
|
||||
|
||||
async def test_request():
|
||||
result = await limiter.check_limit("stress-tenant")
|
||||
if result.allowed:
|
||||
await asyncio.sleep(0.01) # Simulate work
|
||||
await limiter.release("stress-tenant")
|
||||
else:
|
||||
raise Exception(f"Rate limited: {result.reason}")
|
||||
|
||||
result = await tester.run_load_test(
|
||||
test_func=test_request,
|
||||
num_requests=num_requests,
|
||||
concurrent=concurrent
|
||||
)
|
||||
|
||||
result.test_name = "Rate Limiter Stress Test"
|
||||
|
||||
print(tester.format_report(result))
|
||||
|
||||
return result
|
||||
|
|
@ -0,0 +1,112 @@
|
|||
"""
|
||||
Tests for Deployment Module - Homologation Validator.
|
||||
|
||||
Tests integration validation functionality.
|
||||
"""
|
||||
|
||||
import pytest
|
||||
from src.deployment.homologation import (
|
||||
HomologationValidator,
|
||||
HomologationResult,
|
||||
ValidationCheck,
|
||||
ValidationStatus
|
||||
)
|
||||
|
||||
|
||||
class TestValidationCheck:
|
||||
"""Tests for ValidationCheck dataclass."""
|
||||
|
||||
def test_check_creation(self):
|
||||
"""Test creating a validation check."""
|
||||
check = ValidationCheck(
|
||||
name="test_check",
|
||||
description="Test validation"
|
||||
)
|
||||
|
||||
assert check.status == ValidationStatus.PENDING
|
||||
assert check.duration_ms == 0
|
||||
|
||||
def test_check_with_status(self):
|
||||
"""Test check with status."""
|
||||
check = ValidationCheck(
|
||||
name="test_check",
|
||||
description="Test",
|
||||
status=ValidationStatus.PASSED,
|
||||
message="All good"
|
||||
)
|
||||
|
||||
assert check.status == ValidationStatus.PASSED
|
||||
|
||||
|
||||
class TestHomologationResult:
|
||||
"""Tests for HomologationResult dataclass."""
|
||||
|
||||
def test_result_counts(self):
|
||||
"""Test result counting."""
|
||||
from datetime import datetime, timezone
|
||||
|
||||
result = HomologationResult(
|
||||
environment="test",
|
||||
started_at=datetime.now(timezone.utc),
|
||||
checks=[
|
||||
ValidationCheck("c1", "d1", ValidationStatus.PASSED),
|
||||
ValidationCheck("c2", "d2", ValidationStatus.PASSED),
|
||||
ValidationCheck("c3", "d3", ValidationStatus.FAILED),
|
||||
ValidationCheck("c4", "d4", ValidationStatus.WARNING),
|
||||
]
|
||||
)
|
||||
|
||||
assert result.passed == 2
|
||||
assert result.failed == 1
|
||||
assert result.warnings == 1
|
||||
assert result.all_passed is False
|
||||
|
||||
def test_all_passed(self):
|
||||
"""Test all_passed property."""
|
||||
from datetime import datetime, timezone
|
||||
|
||||
result = HomologationResult(
|
||||
environment="test",
|
||||
started_at=datetime.now(timezone.utc),
|
||||
checks=[
|
||||
ValidationCheck("c1", "d1", ValidationStatus.PASSED),
|
||||
ValidationCheck("c2", "d2", ValidationStatus.PASSED),
|
||||
]
|
||||
)
|
||||
|
||||
assert result.all_passed is True
|
||||
|
||||
|
||||
class TestHomologationValidator:
|
||||
"""Tests for HomologationValidator."""
|
||||
|
||||
@pytest.fixture
|
||||
def validator(self):
|
||||
"""Create validator."""
|
||||
return HomologationValidator("test")
|
||||
|
||||
def test_format_report_empty(self, validator):
|
||||
"""Test report with no result."""
|
||||
report = validator.format_report()
|
||||
|
||||
assert "Nenhum resultado" in report
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_checks_returns_result(self, validator):
|
||||
"""Test that run_all_checks returns a result."""
|
||||
# This will fail or skip checks but should still return a result
|
||||
result = await validator.run_all_checks()
|
||||
|
||||
assert result is not None
|
||||
assert result.environment == "test"
|
||||
assert len(result.checks) > 0
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_format_report_after_run(self, validator):
|
||||
"""Test formatting report after running checks."""
|
||||
await validator.run_all_checks()
|
||||
|
||||
report = validator.format_report()
|
||||
|
||||
assert "RELATÓRIO DE HOMOLOGAÇÃO" in report
|
||||
assert "TEST" in report
|
||||
|
|
@ -0,0 +1,128 @@
|
|||
"""
|
||||
Tests for Deployment Module - Langfuse Client.
|
||||
|
||||
Tests observability and tracing functionality.
|
||||
"""
|
||||
|
||||
import pytest
|
||||
from unittest.mock import patch
|
||||
|
||||
from src.deployment.langfuse_client import (
|
||||
LangfuseClient,
|
||||
TraceData,
|
||||
SpanData,
|
||||
TraceStatus,
|
||||
get_langfuse
|
||||
)
|
||||
|
||||
|
||||
class TestLangfuseClient:
|
||||
"""Tests for LangfuseClient."""
|
||||
|
||||
@pytest.fixture
|
||||
def client(self):
|
||||
"""Create Langfuse client."""
|
||||
return LangfuseClient()
|
||||
|
||||
def test_create_trace(self, client):
|
||||
"""Test trace creation."""
|
||||
trace_id = client.create_trace(
|
||||
name="test_trace",
|
||||
tenant_id="tenant-001"
|
||||
)
|
||||
|
||||
assert trace_id.startswith("trace-")
|
||||
assert len(trace_id) == 22 # trace- + 16 hex chars
|
||||
|
||||
def test_trace_metadata(self, client):
|
||||
"""Test trace with metadata."""
|
||||
trace_id = client.create_trace(
|
||||
name="test_trace",
|
||||
tenant_id="tenant-001",
|
||||
metadata={"ticket_id": "TKT-001"}
|
||||
)
|
||||
|
||||
assert trace_id is not None
|
||||
|
||||
def test_start_span(self, client):
|
||||
"""Test span creation."""
|
||||
trace_id = client.create_trace("test", "tenant-001")
|
||||
span_id = client.start_span(
|
||||
trace_id=trace_id,
|
||||
name="test_span",
|
||||
input_data="test input"
|
||||
)
|
||||
|
||||
assert span_id.startswith("span-")
|
||||
|
||||
def test_end_span(self, client):
|
||||
"""Test ending a span."""
|
||||
trace_id = client.create_trace("test", "tenant-001")
|
||||
span_id = client.start_span(trace_id, "test_span")
|
||||
|
||||
client.end_span(
|
||||
span_id=span_id,
|
||||
output_data="test output",
|
||||
status=TraceStatus.COMPLETED
|
||||
)
|
||||
|
||||
# Span should be removed from active spans
|
||||
assert span_id not in client._active_spans
|
||||
|
||||
def test_end_trace(self, client):
|
||||
"""Test ending a trace."""
|
||||
trace_id = client.create_trace(
|
||||
name="test_trace",
|
||||
tenant_id="tenant-001"
|
||||
)
|
||||
|
||||
result = client.end_trace(trace_id, TraceStatus.COMPLETED)
|
||||
|
||||
assert result is not None
|
||||
assert result.status == TraceStatus.COMPLETED
|
||||
assert result.total_duration_ms >= 0
|
||||
|
||||
def test_trace_context_manager(self, client):
|
||||
"""Test trace context manager."""
|
||||
with client.trace("test_op", "tenant-001") as trace_id:
|
||||
assert trace_id.startswith("trace-")
|
||||
|
||||
# Trace should be completed
|
||||
assert trace_id not in client._active_traces
|
||||
|
||||
def test_span_context_manager(self, client):
|
||||
"""Test span context manager."""
|
||||
trace_id = client.create_trace("test", "tenant-001")
|
||||
|
||||
with client.span(trace_id, "test_span", "input") as span_id:
|
||||
assert span_id.startswith("span-")
|
||||
|
||||
# Span should be completed
|
||||
assert span_id not in client._active_spans
|
||||
|
||||
def test_get_metrics(self, client):
|
||||
"""Test metrics retrieval."""
|
||||
metrics = client.get_metrics()
|
||||
|
||||
assert "active_traces" in metrics
|
||||
assert "active_spans" in metrics
|
||||
assert "langfuse_enabled" in metrics
|
||||
|
||||
def test_fallback_mode(self, client):
|
||||
"""Test fallback when Langfuse not configured."""
|
||||
# Default client should be in fallback mode
|
||||
assert client._enabled is False
|
||||
|
||||
|
||||
class TestLangfuseSingleton:
|
||||
"""Tests for singleton."""
|
||||
|
||||
def test_singleton(self):
|
||||
"""Test singleton returns same instance."""
|
||||
import src.deployment.langfuse_client as module
|
||||
module._langfuse = None
|
||||
|
||||
l1 = get_langfuse()
|
||||
l2 = get_langfuse()
|
||||
|
||||
assert l1 is l2
|
||||
|
|
@ -0,0 +1,164 @@
|
|||
"""
|
||||
Tests for Deployment Module - Stress Tester.
|
||||
|
||||
Tests load testing functionality.
|
||||
"""
|
||||
|
||||
import pytest
|
||||
import asyncio
|
||||
from src.deployment.stress_tester import (
|
||||
StressTester,
|
||||
StressTestResult,
|
||||
RequestResult
|
||||
)
|
||||
|
||||
|
||||
class TestRequestResult:
|
||||
"""Tests for RequestResult dataclass."""
|
||||
|
||||
def test_successful_request(self):
|
||||
"""Test successful request result."""
|
||||
result = RequestResult(
|
||||
request_id=1,
|
||||
success=True,
|
||||
duration_ms=100
|
||||
)
|
||||
|
||||
assert result.success is True
|
||||
assert result.error is None
|
||||
|
||||
def test_failed_request(self):
|
||||
"""Test failed request result."""
|
||||
result = RequestResult(
|
||||
request_id=1,
|
||||
success=False,
|
||||
duration_ms=50,
|
||||
error="Timeout"
|
||||
)
|
||||
|
||||
assert result.success is False
|
||||
assert result.error == "Timeout"
|
||||
|
||||
|
||||
class TestStressTester:
|
||||
"""Tests for StressTester."""
|
||||
|
||||
@pytest.fixture
|
||||
def tester(self):
|
||||
"""Create stress tester."""
|
||||
return StressTester()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_load_test_success(self, tester):
|
||||
"""Test successful load test."""
|
||||
counter = [0]
|
||||
|
||||
async def simple_test():
|
||||
counter[0] += 1
|
||||
await asyncio.sleep(0.01)
|
||||
|
||||
result = await tester.run_load_test(
|
||||
test_func=simple_test,
|
||||
num_requests=5,
|
||||
concurrent=2
|
||||
)
|
||||
|
||||
assert result.total_requests == 5
|
||||
assert result.successful_requests == 5
|
||||
assert result.failed_requests == 0
|
||||
assert counter[0] == 5
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_load_test_with_failures(self, tester):
|
||||
"""Test load test with some failures."""
|
||||
counter = [0]
|
||||
|
||||
async def failing_test():
|
||||
counter[0] += 1
|
||||
if counter[0] % 2 == 0:
|
||||
raise Exception("Simulated failure")
|
||||
await asyncio.sleep(0.01)
|
||||
|
||||
result = await tester.run_load_test(
|
||||
test_func=failing_test,
|
||||
num_requests=4,
|
||||
concurrent=2
|
||||
)
|
||||
|
||||
assert result.total_requests == 4
|
||||
assert result.failed_requests == 2
|
||||
assert result.successful_requests == 2
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_metrics_calculation(self, tester):
|
||||
"""Test that metrics are calculated correctly."""
|
||||
async def fast_test():
|
||||
await asyncio.sleep(0.01) # 10ms
|
||||
|
||||
result = await tester.run_load_test(
|
||||
test_func=fast_test,
|
||||
num_requests=10,
|
||||
concurrent=5
|
||||
)
|
||||
|
||||
assert result.avg_duration_ms >= 10
|
||||
assert result.min_duration_ms >= 10
|
||||
assert result.requests_per_second > 0
|
||||
|
||||
def test_percentile_calculation(self, tester):
|
||||
"""Test percentile calculation."""
|
||||
sorted_data = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
|
||||
|
||||
p50 = tester._percentile(sorted_data, 50)
|
||||
p95 = tester._percentile(sorted_data, 95)
|
||||
|
||||
assert 50 <= p50 <= 60
|
||||
assert 90 <= p95 <= 100
|
||||
|
||||
def test_format_report(self, tester):
|
||||
"""Test report formatting."""
|
||||
result = StressTestResult(
|
||||
total_requests=100,
|
||||
successful_requests=95,
|
||||
failed_requests=5,
|
||||
avg_duration_ms=50.5,
|
||||
min_duration_ms=10,
|
||||
max_duration_ms=200,
|
||||
p50_duration_ms=45.0,
|
||||
p95_duration_ms=150.0,
|
||||
p99_duration_ms=180.0,
|
||||
requests_per_second=25.5,
|
||||
total_duration_sec=4.0,
|
||||
concurrent_requests=10,
|
||||
test_name="Test Run"
|
||||
)
|
||||
|
||||
report = tester.format_report(result)
|
||||
|
||||
assert "Test Run" in report
|
||||
assert "100" in report
|
||||
assert "95" in report
|
||||
assert "50.5" in report
|
||||
|
||||
|
||||
class TestStressTestResult:
|
||||
"""Tests for StressTestResult dataclass."""
|
||||
|
||||
def test_result_creation(self):
|
||||
"""Test creating stress test result."""
|
||||
result = StressTestResult(
|
||||
total_requests=10,
|
||||
successful_requests=8,
|
||||
failed_requests=2,
|
||||
avg_duration_ms=100.0,
|
||||
min_duration_ms=50,
|
||||
max_duration_ms=200,
|
||||
p50_duration_ms=90.0,
|
||||
p95_duration_ms=180.0,
|
||||
p99_duration_ms=195.0,
|
||||
requests_per_second=5.0,
|
||||
total_duration_sec=2.0
|
||||
)
|
||||
|
||||
assert result.total_requests == 10
|
||||
assert result.errors == []
|
||||
Loading…
Reference in New Issue