quantrs2-tytan 0.1.3

//! # PerformanceProfiler - start_profile_group Methods
//!
//! This module contains method implementations for `PerformanceProfiler`.
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

#[cfg(feature = "plotters")]
use plotters::prelude::*;
use std::collections::{BTreeMap, HashMap};
use std::time::{Duration, Instant};

use super::types::{
    CallGraph, ComputationMetrics, MemoryMetrics, MetricsBuffer, MetricsData, Percentiles, Profile,
    ProfileContext, QualityMetrics, ResourceUsage, TimeMetrics,
};

use super::performanceprofiler_type::PerformanceProfiler;

impl PerformanceProfiler {
    /// Start profiling
    pub fn start_profile(&mut self, name: &str) -> Result<(), String> {
        if !self.config.enabled {
            return Ok(());
        }
        if self.current_profile.is_some() {
            return Err("Profile already in progress".to_string());
        }
        let profile = Profile {
            id: format!(
                "{}_{}",
                name,
                std::time::SystemTime::now()
                    .duration_since(std::time::UNIX_EPOCH)
                    .expect("Failed to get current system time for profile ID generation")
                    .as_secs()
            ),
            start_time: Instant::now(),
            end_time: None,
            events: Vec::new(),
            metrics: MetricsData {
                time_metrics: TimeMetrics {
                    total_time: Duration::from_secs(0),
                    qubo_generation_time: Duration::from_secs(0),
                    compilation_time: Duration::from_secs(0),
                    solving_time: Duration::from_secs(0),
                    post_processing_time: Duration::from_secs(0),
                    function_times: BTreeMap::new(),
                    percentiles: Percentiles {
                        p50: Duration::from_secs(0),
                        p90: Duration::from_secs(0),
                        p95: Duration::from_secs(0),
                        p99: Duration::from_secs(0),
                        p999: Duration::from_secs(0),
                    },
                },
                memory_metrics: MemoryMetrics {
                    peak_memory: 0,
                    avg_memory: 0,
                    allocations: 0,
                    deallocations: 0,
                    largest_allocation: 0,
                    memory_timeline: Vec::new(),
                },
                computation_metrics: ComputationMetrics {
                    flops: 0.0,
                    memory_bandwidth: 0.0,
                    cache_hit_rate: 0.0,
                    branch_prediction_accuracy: 0.0,
                    vectorization_efficiency: 0.0,
                },
                quality_metrics: QualityMetrics {
                    quality_timeline: Vec::new(),
                    convergence_rate: 0.0,
                    improvement_per_iteration: 0.0,
                    time_to_first_solution: Duration::from_secs(0),
                    time_to_best_solution: Duration::from_secs(0),
                },
            },
            call_graph: CallGraph {
                nodes: Vec::new(),
                edges: Vec::new(),
                roots: Vec::new(),
            },
            resource_usage: ResourceUsage {
                cpu_usage: Vec::new(),
                memory_usage: Vec::new(),
                gpu_usage: Vec::new(),
                io_operations: Vec::new(),
                network_operations: Vec::new(),
            },
        };
        self.current_profile = Some(ProfileContext {
            profile,
            call_stack: Vec::new(),
            timers: HashMap::new(),
            metrics_buffer: MetricsBuffer::default(),
        });
        if self.config.sampling_interval > Duration::from_secs(0) {
            Self::start_metrics_collection()?;
        }
        Ok(())
    }
    /// Start metrics collection
    const fn start_metrics_collection() -> Result<(), String> {
        Ok(())
    }
}