require "../src/prometheus"

# Create metrics
errors = Prometheus.counter("http_errors_total", "Total HTTP errors")
memory = Prometheus.gauge("memory_usage_bytes", "Current memory usage in bytes")
response_time = Prometheus.histogram(
  "http_response_time",
  "HTTP response time in seconds",
  [0.1, 0.3, 0.5, 1.0, 2.0]
)
request_size = Prometheus.summary("http_request_size_bytes", "HTTP request size in bytes")

# Simulate some traffic
puts "Simulating HTTP traffic..."

# Create a single counter with endpoint label
requests = Prometheus.counter(
  "http_requests_total",
  "Total HTTP requests",
  Prometheus::LabelSet.new({"endpoint" => "/api"}) # Default to API endpoint
)

# Simulate requests over 5 iterations
5.times do |i|
  # Simulate API requests
  requests.inc
  response_time.observe(0.2) # 200ms response time
  request_size.observe(512)  # 512 bytes request size
  
  # Simulate web requests - Note: Currently limited by implementation
  # In a real Prometheus client, we would be able to increment with different labels
  requests.inc
  response_time.observe(0.4) # 400ms response time
  request_size.observe(1024) # 1KB request size
  
  # Simulate some errors (20% error rate)
  errors.inc if i % 5 == 0
  
  # Simulate memory usage fluctuation
  memory.set(100_000 + (i * 10_000)) # Increasing memory usage
  
  sleep 1.seconds # Wait 1 second between iterations
end

puts "\nMetrics output:"
puts "=============="
puts Prometheus.collect