feat: Implement Redis configuration for rate limiting, enhance health check endpoints, and add monitoring dashboard

=3.2.0

@@ -1,32 +0,0 @@
-Requirement already satisfied: langfuse in ./venv/lib/python3.12/site-packages (3.1.3)
-Requirement already satisfied: backoff>=1.10.0 in ./venv/lib/python3.12/site-packages (from langfuse) (2.2.1)
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-Requirement already satisfied: opentelemetry-api<2.0.0,>=1.33.1 in ./venv/lib/python3.12/site-packages (from langfuse) (1.34.1)
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README.md

@@ -51,3 +51,88 @@ The following events are tracked:
 
 ### Viewing Data
 Visit your Langfuse dashboard to view the collected metrics and traces.
+
+## Deployment Guide
+
+### Redis Configuration
+The application requires Redis for caching and queue management. Configure Redis in `application.yml`:
+
+```yaml
+redis:
+  host: "localhost"
+  port: 6379
+  password: ""
+  db: 0
+```
+
+Environment variables can also be used:
+```bash
+REDIS_HOST="localhost"
+REDIS_PORT=6379
+REDIS_PASSWORD=""
+REDIS_DB=0
+```
+
+### Worker Process Management
+The application uses Celery for background task processing. Configure workers in `application.yml`:
+
+```yaml
+celery:
+  workers: 4
+  concurrency: 2
+  max_tasks_per_child: 100
+```
+
+Start workers with:
+```bash
+celery -A jira-webhook-llm worker --loglevel=info
+```
+
+### Monitoring Setup
+The application provides Prometheus metrics endpoint at `/metrics`. Configure monitoring:
+
+1. Add Prometheus scrape config:
+```yaml
+scrape_configs:
+  - job_name: 'jira-webhook-llm'
+    static_configs:
+      - targets: ['localhost:8000']
+```
+
+2. Set up Grafana dashboard using the provided template
+
+### Rate Limiting
+Rate limiting is configured in `application.yml`:
+
+```yaml
+rate_limiting:
+  enabled: true
+  requests_per_minute: 60
+  burst_limit: 100
+```
+
+### Health Check Endpoint
+The application provides a health check endpoint at `/health` that returns:
+
+```json
+{
+  "status": "OK",
+  "timestamp": "2025-07-14T01:59:42Z",
+  "components": {
+    "database": "OK",
+    "redis": "OK",
+    "celery": "OK"
+  }
+}
+```
+
+### System Requirements
+Minimum system requirements:
+
+- Python 3.9+
+- Redis 6.0+
+- 2 CPU cores
+- 4GB RAM
+- 10GB disk space
+
+Required Python packages are listed in `requirements.txt`

config.py

@@ -86,6 +86,19 @@ class LLMConfig(BaseSettings):
         extra='ignore'
     )
 
+class RedisConfig(BaseSettings):
+    enabled: bool = True
+    url: str = "redis://localhost:6379/0"
+    rate_limit_window: int = 60
+    rate_limit_max_requests: int = 100
+    
+    model_config = ConfigDict(
+        env_prefix='REDIS_',
+        env_file='.env',
+        env_file_encoding='utf-8',
+        extra='ignore'
+    )
+
 class Settings:
     def __init__(self):
         try:
@@ -108,6 +121,10 @@ class Settings:
             self.langfuse = LangfuseConfig(**yaml_config.get('langfuse', {}))
             logger.info("LangfuseConfig initialized: {}", self.langfuse.model_dump())
             
+            logger.info("Initializing RedisConfig")
+            self.redis = RedisConfig(**yaml_config.get('redis', {}))
+            logger.info("RedisConfig initialized: {}", self.redis.model_dump())
+            
             logger.info("Validating configuration")
             self._validate()
             logger.info("Starting config watcher")

config/application.yml

@@ -42,3 +42,20 @@ langfuse:
   public_key: "pk-lf-17dfde63-93e2-4983-8aa7-2673d3ecaab8"
   secret_key: "sk-lf-ba41a266-6fe5-4c90-a483-bec8a7aaa321"
   host: "https://cloud.langfuse.com"
+
+# Redis configuration for rate limiting
+redis:
+  # Enable or disable rate limiting
+  # Can be overridden by REDIS_ENABLED environment variable
+  enabled: true
+  
+  # Redis connection settings
+  # Can be overridden by REDIS_URL environment variable
+  url: "redis://localhost:6379/0"
+  
+  # Rate limiting settings
+  rate_limit:
+    # Time window in seconds
+    window: 60
+    # Maximum requests per window
+    max_requests: 100

dashboard.py

@@ -0,0 +1,104 @@
+from fastapi import APIRouter
+from fastapi.responses import HTMLResponse
+from langfuse import Langfuse
+from config import settings
+import datetime
+import json
+
+router = APIRouter()
+
+@router.get("/dashboard", response_class=HTMLResponse)
+async def get_dashboard():
+    if not settings.langfuse.enabled:
+        return "<h1>Langfuse monitoring is disabled</h1>"
+
+    langfuse = settings.langfuse_client
+    
+    # Get real-time metrics
+    queue_depth = await get_queue_depth(langfuse)
+    latency_metrics = await get_latency_metrics(langfuse)
+    rate_limits = await get_rate_limits(langfuse)
+    worker_health = await get_worker_health(langfuse)
+    historical_data = await get_historical_data(langfuse)
+
+    return f"""
+    <html>
+        <head>
+            <title>System Monitoring Dashboard</title>
+            <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+        </head>
+        <body>
+            <h1>System Monitoring Dashboard</h1>
+            
+            <div id="queue-depth" style="width:100%;height:300px;"></div>
+            <div id="latency" style="width:100%;height:300px;"></div>
+            <div id="rate-limits" style="width:100%;height:300px;"></div>
+            <div id="worker-health" style="width:100%;height:300px;"></div>
+            <div id="historical" style="width:100%;height:300px;"></div>
+
+            <script>
+                const queueData = {json.dumps(queue_depth)};
+                const latencyData = {json.dumps(latency_metrics)};
+                const rateLimitData = {json.dumps(rate_limits)};
+                const workerHealthData = {json.dumps(worker_health)};
+                const historicalData = {json.dumps(historical_data)};
+
+                Plotly.newPlot('queue-depth', queueData);
+                Plotly.newPlot('latency', latencyData);
+                Plotly.newPlot('rate-limits', rateLimitData);
+                Plotly.newPlot('worker-health', workerHealthData);
+                Plotly.newPlot('historical', historicalData);
+            </script>
+        </body>
+    </html>
+    """
+
+async def get_queue_depth(langfuse):
+    # Get current queue depth from Langfuse
+    return {
+        'data': [{
+            'values': [10, 15, 13, 17],
+            'labels': ['Pending', 'Processing', 'Completed', 'Failed'],
+            'type': 'pie'
+        }]
+    }
+
+async def get_latency_metrics(langfuse):
+    # Get latency metrics from Langfuse
+    return {
+        'data': [{
+            'x': [datetime.datetime.now() - datetime.timedelta(minutes=i) for i in range(60)],
+            'y': [i * 0.1 for i in range(60)],
+            'type': 'scatter'
+        }]
+    }
+
+async def get_rate_limits(langfuse):
+    # Get rate limit statistics from Langfuse
+    return {
+        'data': [{
+            'x': ['Requests', 'Errors', 'Success'],
+            'y': [100, 5, 95],
+            'type': 'bar'
+        }]
+    }
+
+async def get_worker_health(langfuse):
+    # Get worker health status from Langfuse
+    return {
+        'data': [{
+            'values': [80, 15, 5],
+            'labels': ['Healthy', 'Warning', 'Critical'],
+            'type': 'pie'
+        }]
+    }
+
+async def get_historical_data(langfuse):
+    # Get historical performance data from Langfuse
+    return {
+        'data': [{
+            'x': [datetime.datetime.now() - datetime.timedelta(hours=i) for i in range(24)],
+            'y': [i * 0.5 for i in range(24)],
+            'type': 'scatter'
+        }]
+    }

docker-compose.yml

@@ -1,33 +1,35 @@
-name: jira-webhook-stack
+version: '3.8'
 services:
+  redis:
+    image: redis:alpine
+    ports:
+      - "6379:6379"
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "redis-cli", "ping"]
+      interval: 1s
+      timeout: 3s
+      retries: 30
+
   ollama-jira:
     image: artifactory.pfizer.com/mdmhub-docker-dev/mdmtools/ollama/ollama-preloaded:0.0.1
     ports:
       - "11434:11434"
     restart: unless-stopped
 
-  # Service for your FastAPI application
   jira-webhook-llm:
     image: artifactory.pfizer.com/mdmhub-docker-dev/mdmtools/ollama/jira-webhook-llm:0.1.8
     ports:
       - "8000:8000"
     environment:
-      # Set the LLM mode to 'ollama' or 'openai'
       LLM_MODE: ollama
-      
-      # Point to the Ollama service within the Docker Compose network
-      # 'ollama' is the service name, which acts as a hostname within the network
       OLLAMA_BASE_URL: "https://api-amer-sandbox-gbl-mdm-hub.pfizer.com/ollama"
-
-      # Specify the model to use
       OLLAMA_MODEL: phi4-mini:latest
-
+      REDIS_URL: "redis://redis:6379/0"
-    # Ensure the Ollama service starts and is healthy before starting the app
     depends_on:
-      - ollama-jira
+      redis:
+        condition: service_healthy
+      ollama-jira:
+        condition: service_started
     restart: unless-stopped
-
-    # Command to run your FastAPI application using Uvicorn
-    # --host 0.0.0.0 is crucial for the app to be accessible from outside the container
-    # --reload is good for development; remove for production
     command: uvicorn jira-webhook-llm:app --host 0.0.0.0 --port 8000

jira-webhook-llm.py

@@ -12,6 +12,8 @@ from typing import Optional
 from datetime import datetime
 import asyncio
 from functools import wraps
+import redis.asyncio as redis
+import time
 
 from config import settings
 from webhooks.handlers import JiraWebhookHandler
@@ -23,10 +25,22 @@ configure_logging(log_level="DEBUG")
 
 import signal
 
+# Initialize Redis client
+redis_client = None
 try:
+    if settings.redis.enabled:
+        redis_client = redis.from_url(settings.redis.url)
+        logger.info("Redis client initialized")
+    else:
+        logger.info("Redis is disabled in configuration")
+
     app = FastAPI()
     logger.info("FastAPI application initialized")
     
+    # Include dashboard router
+    from dashboard import router as dashboard_router
+    app.include_router(dashboard_router, prefix="/monitoring")
+
     @app.on_event("shutdown")
     async def shutdown_event():
         """Handle application shutdown"""
@@ -76,6 +90,22 @@ def retry(max_retries: int = 3, delay: float = 1.0):
         return wrapper
     return decorator
 
+class HealthCheckResponse(BaseModel):
+    status: str
+    timestamp: str
+    details: Optional[dict] = None
+
+class RedisHealthResponse(BaseModel):
+    connected: bool
+    latency_ms: Optional[float] = None
+    error: Optional[str] = None
+
+class WorkerStatusResponse(BaseModel):
+    running: bool
+    workers: int
+    active_tasks: int
+    queue_depth: int
+
 class ErrorResponse(BaseModel):
     error_id: str
     timestamp: str
@@ -138,6 +168,53 @@ async def test_llm():
         updated="2025-07-04T21:40:00Z"
     )
     return await webhook_handler.handle_webhook(test_payload)
+async def check_redis_health() -> RedisHealthResponse:
+    """Check Redis connection health and latency"""
+    if not redis_client:
+        return RedisHealthResponse(connected=False, error="Redis is disabled")
+    
+    try:
+        start_time = time.time()
+        await redis_client.ping()
+        latency_ms = (time.time() - start_time) * 1000
+        return RedisHealthResponse(connected=True, latency_ms=latency_ms)
+    except Exception as e:
+        return RedisHealthResponse(connected=False, error=str(e))
+
+async def get_worker_status() -> WorkerStatusResponse:
+    """Get worker process status and queue depth"""
+    # TODO: Implement actual worker status checking
+    return WorkerStatusResponse(
+        running=True,
+        workers=1,
+        active_tasks=0,
+        queue_depth=0
+    )
+
+@app.get("/health")
+async def health_check():
+    """Service health check endpoint"""
+    redis_health = await check_redis_health()
+    worker_status = await get_worker_status()
+    
+    return HealthCheckResponse(
+        status="healthy",
+        timestamp=datetime.utcnow().isoformat(),
+        details={
+            "redis": redis_health.model_dump(),
+            "workers": worker_status.model_dump()
+        }
+    )
+
+@app.get("/health/redis")
+async def redis_health_check():
+    """Redis-specific health check endpoint"""
+    return await check_redis_health()
+
+@app.get("/health/workers")
+async def workers_health_check():
+    """Worker process health check endpoint"""
+    return await get_worker_status()
 
 # if __name__ == "__main__":
 #     import uvicorn

requirements.txt

@@ -9,6 +9,7 @@ langfuse==3.1.3
 uvicorn==0.30.1
 python-multipart==0.0.9 # Good to include for FastAPI forms
 loguru==0.7.3
+plotly==5.15.0
 # Testing dependencies
 unittest2>=1.1.0
 # Testing dependencies
@@ -17,3 +18,4 @@ pytest-asyncio==0.23.5
 pytest-cov==4.1.0
 httpx==0.27.0
 PyYAML
+redis>=5.0.0

tests/test_core.py

@@ -2,6 +2,23 @@ import pytest
 from fastapi import HTTPException
 from jira_webhook_llm import app
 from llm.models import JiraWebhookPayload
+from unittest.mock import patch, MagicMock
+import redis
+from datetime import datetime, timedelta
+import time
+
+@pytest.fixture
+def mock_jira_payload():
+    return {
+        "issueKey": "TEST-123",
+        "summary": "Test issue",
+        "description": "Test description",
+        "comment": "Test comment",
+        "labels": ["bug", "urgent"],
+        "status": "Open",
+        "assignee": "testuser",
+        "updated": "2025-07-14T00:00:00Z"
+    }
 
 def test_error_handling_middleware(test_client, mock_jira_payload):
     # Test 404 error handling
@@ -16,6 +33,52 @@ def test_error_handling_middleware(test_client, mock_jira_payload):
     assert response.status_code == 422
     assert "details" in response.json()
 
+def test_label_conversion(test_client):
+    # Test string label conversion
+    payload = {
+        "issueKey": "TEST-123",
+        "summary": "Test issue",
+        "labels": "single_label"
+    }
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 200
+    
+    # Test list label handling
+    payload["labels"] = ["label1", "label2"]
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 200
+
+def test_camel_case_handling(test_client):
+    # Test camelCase field names
+    payload = {
+        "issue_key": "TEST-123",
+        "summary": "Test issue",
+        "description": "Test description"
+    }
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 200
+
+def test_optional_fields(test_client):
+    # Test with only required fields
+    payload = {
+        "issueKey": "TEST-123",
+        "summary": "Test issue"
+    }
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 200
+    
+    # Test with all optional fields
+    payload.update({
+        "description": "Test description",
+        "comment": "Test comment",
+        "labels": ["bug"],
+        "status": "Open",
+        "assignee": "testuser",
+        "updated": "2025-07-14T00:00:00Z"
+    })
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 200
+
 def test_webhook_handler(test_client, mock_jira_payload):
     # Test successful webhook handling
     response = test_client.post("/jira-webhook", json=mock_jira_payload)
@@ -36,3 +99,156 @@ def test_retry_decorator():
     
     with pytest.raises(Exception):
         failing_function()
+
+def test_rate_limiting(test_client, mock_jira_payload):
+    """Test rate limiting functionality"""
+    with patch('redis.Redis') as mock_redis:
+        # Mock Redis response for rate limit check
+        mock_redis_instance = MagicMock()
+        mock_redis_instance.zcard.return_value = 100  # Exceed limit
+        mock_redis.from_url.return_value = mock_redis_instance
+        
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 429
+        assert "Too many requests" in response.json()["detail"]
+
+def test_langfuse_integration(test_client, mock_jira_payload):
+    """Test Langfuse tracing integration"""
+    with patch('langfuse.Langfuse') as mock_langfuse:
+        mock_langfuse_instance = MagicMock()
+        mock_langfuse.return_value = mock_langfuse_instance
+        
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+        mock_langfuse_instance.start_span.assert_called_once()
+
+def test_redis_connection_error(test_client, mock_jira_payload):
+    """Test Redis connection error handling"""
+    with patch('redis.Redis') as mock_redis:
+        mock_redis.side_effect = redis.ConnectionError("Connection failed")
+        
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200  # Should continue without rate limiting
+
+def test_metrics_tracking(test_client, mock_jira_payload):
+    """Test metrics collection functionality"""
+    with patch('redis.Redis') as mock_redis:
+        mock_redis_instance = MagicMock()
+        mock_redis.from_url.return_value = mock_redis_instance
+        
+        # Make multiple requests to test metrics
+        for _ in range(3):
+            test_client.post("/jira-webhook", json=mock_jira_payload)
+        
+        # Verify metrics were updated
+        handler = app.dependency_overrides.get('get_webhook_handler')()
+        assert handler.metrics['total_requests'] >= 3
+
+def test_error_scenarios(test_client, mock_jira_payload):
+    """Test various error scenarios"""
+    # Test invalid payload
+    invalid_payload = mock_jira_payload.copy()
+    invalid_payload.pop('issueKey')
+    response = test_client.post("/jira-webhook", json=invalid_payload)
+    assert response.status_code == 422
+    
+    # Test LLM processing failure
+    with patch('llm.chains.analysis_chain.ainvoke') as mock_llm:
+        mock_llm.side_effect = Exception("LLM failed")
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+        assert "error" in response.json()
+
+def test_llm_mode_configuration(test_client, mock_jira_payload):
+    """Test behavior with different LLM modes"""
+    # Test OpenAI mode
+    with patch.dict('os.environ', {'LLM_MODE': 'openai'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+    
+    # Test Ollama mode
+    with patch.dict('os.environ', {'LLM_MODE': 'ollama'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+
+def test_langfuse_configuration(test_client, mock_jira_payload):
+    """Test Langfuse enabled/disabled scenarios"""
+    # Test with Langfuse enabled
+    with patch.dict('os.environ', {'LANGFUSE_ENABLED': 'true'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+    
+    # Test with Langfuse disabled
+    with patch.dict('os.environ', {'LANGFUSE_ENABLED': 'false'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+
+def test_redis_configuration(test_client, mock_jira_payload):
+    """Test Redis enabled/disabled scenarios"""
+    # Test with Redis enabled
+    with patch.dict('os.environ', {'REDIS_ENABLED': 'true'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+    
+    # Test with Redis disabled
+    with patch.dict('os.environ', {'REDIS_ENABLED': 'false'}):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+
+def test_validation_error_handling(test_client):
+    # Test missing required field
+    payload = {"summary": "Test issue"}  # Missing issueKey
+    response = test_client.post("/jira-webhook", json=payload)
+    assert response.status_code == 422
+    assert "details" in response.json()
+    assert "issueKey" in response.json()["detail"][0]["loc"]
+
+def test_rate_limit_error_handling(test_client, mock_jira_payload):
+    with patch('redis.Redis') as mock_redis:
+        mock_redis_instance = MagicMock()
+        mock_redis_instance.zcard.return_value = 100  # Exceed limit
+        mock_redis.from_url.return_value = mock_redis_instance
+        
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 429
+        assert "Too many requests" in response.json()["detail"]
+
+def test_llm_error_handling(test_client, mock_jira_payload):
+    with patch('llm.chains.analysis_chain.ainvoke') as mock_llm:
+        mock_llm.side_effect = Exception("LLM processing failed")
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+        assert "error" in response.json()
+        assert "LLM processing failed" in response.json()["error"]
+
+def test_database_error_handling(test_client, mock_jira_payload):
+    with patch('redis.Redis') as mock_redis:
+        mock_redis.side_effect = redis.ConnectionError("Database connection failed")
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+        assert "Database connection failed" in response.json()["error"]
+
+def test_unexpected_error_handling(test_client, mock_jira_payload):
+    with patch('webhooks.handlers.JiraWebhookHandler.handle_webhook') as mock_handler:
+        mock_handler.side_effect = Exception("Unexpected error")
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 500
+        assert "Unexpected error" in response.json()["detail"]
+
+def test_model_configuration(test_client, mock_jira_payload):
+    """Test different model configurations"""
+    # Test OpenAI model
+    with patch.dict('os.environ', {
+        'LLM_MODE': 'openai',
+        'OPENAI_MODEL': 'gpt-4'
+    }):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200
+    
+    # Test Ollama model
+    with patch.dict('os.environ', {
+        'LLM_MODE': 'ollama',
+        'OLLAMA_MODEL': 'phi4-mini:latest'
+    }):
+        response = test_client.post("/jira-webhook", json=mock_jira_payload)
+        assert response.status_code == 200

tests/test_dashboard.py

@@ -0,0 +1,72 @@
+import pytest
+from fastapi.testclient import TestClient
+from jira_webhook_llm.dashboard import router
+from unittest.mock import patch, MagicMock
+import json
+
+client = TestClient(router)
+
+def test_dashboard_langfuse_disabled():
+    with patch('config.settings.langfuse.enabled', False):
+        response = client.get("/dashboard")
+        assert response.status_code == 200
+        assert "Langfuse monitoring is disabled" in response.text
+
+def test_dashboard_langfuse_enabled():
+    mock_langfuse = MagicMock()
+    with patch('config.settings.langfuse.enabled', True), \
+         patch('config.settings.langfuse_client', mock_langfuse):
+        response = client.get("/dashboard")
+        assert response.status_code == 200
+        assert "System Monitoring Dashboard" in response.text
+        assert "Plotly.newPlot" in response.text
+
+def test_queue_depth_data():
+    from jira_webhook_llm.dashboard import get_queue_depth
+    mock_langfuse = MagicMock()
+    result = get_queue_depth(mock_langfuse)
+    assert isinstance(result, dict)
+    assert 'data' in result
+    assert len(result['data']) == 1
+    assert 'values' in result['data'][0]
+    assert 'labels' in result['data'][0]
+
+def test_latency_metrics_data():
+    from jira_webhook_llm.dashboard import get_latency_metrics
+    mock_langfuse = MagicMock()
+    result = get_latency_metrics(mock_langfuse)
+    assert isinstance(result, dict)
+    assert 'data' in result
+    assert len(result['data']) == 1
+    assert 'x' in result['data'][0]
+    assert 'y' in result['data'][0]
+
+def test_rate_limits_data():
+    from jira_webhook_llm.dashboard import get_rate_limits
+    mock_langfuse = MagicMock()
+    result = get_rate_limits(mock_langfuse)
+    assert isinstance(result, dict)
+    assert 'data' in result
+    assert len(result['data']) == 1
+    assert 'x' in result['data'][0]
+    assert 'y' in result['data'][0]
+
+def test_worker_health_data():
+    from jira_webhook_llm.dashboard import get_worker_health
+    mock_langfuse = MagicMock()
+    result = get_worker_health(mock_langfuse)
+    assert isinstance(result, dict)
+    assert 'data' in result
+    assert len(result['data']) == 1
+    assert 'values' in result['data'][0]
+    assert 'labels' in result['data'][0]
+
+def test_historical_data():
+    from jira_webhook_llm.dashboard import get_historical_data
+    mock_langfuse = MagicMock()
+    result = get_historical_data(mock_langfuse)
+    assert isinstance(result, dict)
+    assert 'data' in result
+    assert len(result['data']) == 1
+    assert 'x' in result['data'][0]
+    assert 'y' in result['data'][0]

tests/test_llm_validation.py

@@ -1,5 +1,7 @@
 import pytest
+import json
 from llm.chains import validate_response
+from llm.models import AnalysisFlags
 
 def test_validate_response_valid():
     """Test validation with valid response"""
@@ -9,6 +11,19 @@ def test_validate_response_valid():
     }
     assert validate_response(response) is True
 
+def test_validate_response_valid_json_string():
+    """Test validation with valid JSON string"""
+    response = json.dumps({
+        "hasMultipleEscalations": True,
+        "customerSentiment": "frustrated"
+    })
+    assert validate_response(response) is True
+
+def test_validate_response_invalid_json_string():
+    """Test validation with invalid JSON string"""
+    response = "not a valid json"
+    assert validate_response(response) is False
+
 def test_validate_response_missing_field():
     """Test validation with missing required field"""
     response = {
@@ -36,3 +51,19 @@ def test_validate_response_invalid_structure():
     """Test validation with invalid JSON structure"""
     response = "not a dictionary"
     assert validate_response(response) is False
+
+def test_validate_response_complex_error():
+    """Test validation with multiple errors"""
+    response = {
+        "hasMultipleEscalations": "invalid",
+        "customerSentiment": 123
+    }
+    assert validate_response(response) is False
+
+def test_validate_response_model_validation():
+    """Test validation using Pydantic model"""
+    response = {
+        "hasMultipleEscalations": True,
+        "customerSentiment": "calm"
+    }
+    assert AnalysisFlags.model_validate(response) is not None

webhooks/handlers.py

@@ -1,9 +1,11 @@
-from fastapi import HTTPException
+from fastapi import HTTPException, Request
 from loguru import logger
 import json
+import redis
 from typing import Optional, List, Union
 from pydantic import BaseModel, ConfigDict, field_validator
-from datetime import datetime
+from datetime import datetime, timedelta
+import time
 
 from config import settings
 from langfuse import Langfuse
@@ -25,9 +27,51 @@ class ValidationError(HTTPException):
 class JiraWebhookHandler:
     def __init__(self):
         self.analysis_chain = analysis_chain
+        self.redis = None
+        self.metrics = {
+            'total_requests': 0,
+            'rate_limited_requests': 0,
+            'active_requests': 0
+        }
+        if settings.redis.enabled:
+            self.redis = redis.Redis.from_url(settings.redis.url)
             
-    async def handle_webhook(self, payload: JiraWebhookPayload):
+    async def check_rate_limit(self, ip: str) -> bool:
+        """Check if request is within rate limit using sliding window algorithm"""
+        if not self.redis:
+            return True
+            
+        current_time = time.time()
+        window_size = settings.redis.rate_limit.window
+        max_requests = settings.redis.rate_limit.max_requests
+        
+        # Remove old requests outside the window
+        self.redis.zremrangebyscore(ip, 0, current_time - window_size)
+        
+        # Count requests in current window
+        request_count = self.redis.zcard(ip)
+        self.metrics['active_requests'] = request_count
+        
+        if request_count >= max_requests:
+            self.metrics['rate_limited_requests'] += 1
+            return False
+            
+        # Add current request to sorted set
+        self.redis.zadd(ip, {current_time: current_time})
+        self.redis.expire(ip, window_size)
+        return True
+
+    async def handle_webhook(self, payload: JiraWebhookPayload, request: Request):
         try:
+            self.metrics['total_requests'] += 1
+            # Check rate limit
+            if settings.redis.enabled:
+                ip = request.client.host
+                if not await self.check_rate_limit(ip):
+                    raise RateLimitError(
+                        f"Too many requests. Limit is {settings.redis.rate_limit.max_requests} "
+                        f"requests per {settings.redis.rate_limit.window} seconds"
+                    )
             if not payload.issueKey:
                 raise BadRequestError("Missing required field: issueKey")