200 lines
7.6 KiB
C++
200 lines
7.6 KiB
C++
#pragma once
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// WeaselDB Metrics System
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//
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// High-performance metrics collection with Prometheus-compatible output.
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//
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// DESIGN PRINCIPLES:
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// - Single-writer semantics: Each metric instance bound to creating thread
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// - Lock-free operations using atomic<uint64_t> storage for doubles
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// - Full IEEE 754 double precision preservation via bit reinterpretation
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// - Single global registry: All metrics registered in one global namespace
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//
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// CRITICAL THREAD SAFETY CONSTRAINT:
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// Each metric instance has exactly ONE writer thread (the creating thread).
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// It is undefined behavior to call inc()/dec()/set()/observe() from a different
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// thread.
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//
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// REGISTRY MODEL:
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// This implementation uses a single global registry for all metrics, unlike
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// typical Prometheus client libraries that support multiple registries.
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// This design choice prioritizes simplicity and performance over flexibility.
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//
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// METRIC LIFECYCLE:
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// Metrics are created once and persist for the application lifetime. There is
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// no unregistration mechanism - this prevents accidental metric loss and
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// simplifies the implementation.
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//
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// USAGE:
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// auto counter_family = metric::create_counter("requests_total", "Total
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// requests"); auto counter = counter_family.create({{"method", "GET"}}); //
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// Bound to this thread counter.inc(1.0); // ONLY call from creating thread
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//
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// auto histogram_family = metric::create_histogram("latency", "Request
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// latency", {0.1, 0.5, 1.0}); auto histogram =
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// histogram_family.create({{"endpoint", "/api"}}); // Bound to this thread
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// histogram.observe(0.25); // ONLY call from creating thread
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#include <functional>
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#include <initializer_list>
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#include <span>
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#include <string>
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#include <type_traits>
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#include <vector>
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#include "arena_allocator.hpp"
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namespace metric {
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// Forward declarations
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template <typename T> struct Family;
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// Callback function type for dynamic metric values
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// Called during render() to get current metric value
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// THREAD SAFETY: May be called from arbitrary thread, but serialized by
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// render() mutex - no need to be thread-safe internally
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template <typename T> using MetricCallback = std::function<double()>;
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// Counter: A metric value that only increases.
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//
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// THREAD SAFETY RULES:
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// 1. Do not call inc() on the same Counter object from multiple threads.
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// Each object must have only one writer thread.
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// 2. To use Counters concurrently, each thread must create its own Counter
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// object.
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// 3. When rendered, the values of all Counter objects with the same labels
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// are summed together into a single total.
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struct Counter {
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void inc(double = 1.0); // Increment counter (must be >= 0)
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private:
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Counter();
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friend struct Metric;
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template <class> friend struct Family;
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struct State;
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State *p;
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};
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// Gauge: A metric value that can be set, increased, or decreased.
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//
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// THREAD SAFETY RULES:
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// 1. Do not call inc(), dec(), or set() on the same Gauge object from
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// multiple threads. Each object must have only one writer thread.
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// 2. To use Gauges concurrently, each thread must create its own Gauge object.
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// 3. If multiple Gauge objects are created with the same labels, their
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// operations are combined. For example, increments from different objects
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// are cumulative.
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// 4. For independent gauges, create them with unique labels.
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struct Gauge {
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void inc(double = 1.0);
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void dec(double = 1.0);
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void set(double);
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private:
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Gauge();
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friend struct Metric;
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template <class> friend struct Family;
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struct State;
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State *p;
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};
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// Histogram: A metric that samples observations into buckets.
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//
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// THREAD SAFETY RULES:
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// 1. Do not call observe() on the same Histogram object from multiple
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// threads. Each object must have only one writer thread.
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// 2. To use Histograms concurrently, each thread must create its own
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// Histogram object.
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// 3. When rendered, the observations from all Histogram objects with the
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// same labels are combined into a single histogram.
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struct Histogram {
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void observe(double); // Record observation in appropriate bucket
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private:
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Histogram();
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friend struct Metric;
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template <class> friend struct Family;
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struct State;
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State *p;
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};
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// Family: Factory for creating metric instances with different label
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// combinations Each family represents one metric name with varying labels
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template <class T> struct Family {
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static_assert(std::is_same_v<T, Counter> || std::is_same_v<T, Gauge> ||
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std::is_same_v<T, Histogram>);
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// Create metric instance with specific labels
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// Labels are sorted by key for Prometheus compatibility
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// ERROR: Will abort if labels already registered via register_callback()
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// OK: Multiple calls with same labels return same instance (idempotent)
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T create(std::vector<std::pair<std::string, std::string>> labels);
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// Register callback-based metric (Counter and Gauge only)
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// Validates that label set isn't already taken
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void
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register_callback(std::vector<std::pair<std::string, std::string>> labels,
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MetricCallback<T> callback);
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private:
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Family();
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friend struct Metric;
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friend Family<Counter> create_counter(std::string, std::string);
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friend Family<Gauge> create_gauge(std::string, std::string);
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friend Family<Histogram> create_histogram(std::string, std::string,
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std::span<const double>);
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struct State;
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State *p;
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};
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// Factory functions for creating metric families
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// IMPORTANT: name and help must point to static memory (string literals)
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// Create counter family (monotonically increasing values)
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// ERROR: Aborts if family with same name is registered with different help
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// text.
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Family<Counter> create_counter(std::string name, std::string help);
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// Create gauge family (can increase/decrease)
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// ERROR: Aborts if family with same name is registered with different help
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// text.
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Family<Gauge> create_gauge(std::string name, std::string help);
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// Create histogram family with custom buckets
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// Buckets will be sorted, deduplicated, and +Inf will be added automatically
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// ERROR: Aborts if family with same name is registered with different help text
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// or buckets.
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Family<Histogram> create_histogram(std::string name, std::string help,
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std::span<const double> buckets);
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// Helper functions for generating standard histogram buckets
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// Following Prometheus client library conventions
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// Generate linear buckets: start, start+width, start+2*width, ...,
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// start+(count-1)*width Example: linear_buckets(0, 10, 5) = {0, 10, 20, 30, 40}
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std::vector<double> linear_buckets(double start, double width, int count);
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// Generate exponential buckets: start, start*factor, start*factor^2, ...,
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// start*factor^(count-1) Example: exponential_buckets(1, 2, 5) = {1, 2, 4, 8,
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// 16}
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std::vector<double> exponential_buckets(double start, double factor, int count);
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// Render all metrics in Prometheus text format
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// Returns chunks of Prometheus exposition format (includes # HELP and # TYPE
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// lines) Each string_view may contain multiple lines separated by '\n' String
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// views are NOT null-terminated - use .size() for length All string data
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// allocated in provided arena for zero-copy efficiency
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// TODO: Implement Prometheus text exposition format
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// THREAD SAFETY: Serialized by global mutex - callbacks need not be thread-safe
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std::span<std::string_view> render(ArenaAllocator &arena);
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// Validation functions for Prometheus compatibility
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bool is_valid_metric_name(const std::string &name);
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bool is_valid_label_key(const std::string &key);
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bool is_valid_label_value(const std::string &value);
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// Note: Histograms do not support callbacks due to their multi-value nature
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// (buckets + sum + count). Use static histogram metrics only.
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} // namespace metric
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