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refactor(g3-core): extract stats formatting to dedicated module

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Extract the get_stats() function (158 lines) from lib.rs to a new stats.rs module.

Changes:
- Create stats.rs with AgentStatsSnapshot struct for capturing agent state
- Replace inline formatting logic with delegation to snapshot.format()
- Add unit tests for stats formatting (empty and populated states)
- Reduce lib.rs from 2961 to 2818 lines (-143 lines)

The new module improves:
- Testability: Stats formatting can now be unit tested in isolation
- Separation of concerns: Formatting logic is decoupled from Agent struct
- Readability: lib.rs is more focused on core agent behavior

All 271 workspace tests pass.

Agent: fowler
This commit is contained in:
Dhanji R. Prasanna
2026-01-13 16:11:53 +05:30
parent 562c4199f8
commit 47e3a88cf6
2 changed files with 276 additions and 156 deletions
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169
crates/g3-core/src/lib.rs
View File

@@ -21,6 +21,7 @@ pub mod ui_writer;
pub mod streaming;
pub mod utils;
pub mod webdriver_session;
pub mod stats;
pub use task_result::TaskResult;
pub use retry::{RetryConfig, RetryResult, execute_with_retry, retry_operation};
@@ -1129,162 +1130,18 @@ impl<W: UiWriter> Agent<W> {
/// Get detailed context statistics
pub fn get_stats(&self) -> String {
let mut stats = String::new();
use std::time::Duration;
stats.push_str("\n📊 Context Window Statistics\n");
stats.push_str(&"=".repeat(60));
stats.push_str("\n\n");
// Context window usage
stats.push_str("🗂️ Context Window:\n");
stats.push_str(&format!(
" • Used Tokens: {:>10} / {}\n",
self.context_window.used_tokens, self.context_window.total_tokens
));
stats.push_str(&format!(
" • Usage Percentage: {:>10.1}%\n",
self.context_window.percentage_used()
));
stats.push_str(&format!(
" • Remaining Tokens: {:>10}\n",
self.context_window.remaining_tokens()
));
stats.push_str(&format!(
" • Cumulative Tokens: {:>10}\n",
self.context_window.cumulative_tokens
));
stats.push_str(&format!(
" • Last Thinning: {:>10}%\n",
self.context_window.last_thinning_percentage
));
stats.push('\n');
// Context optimization metrics
stats.push_str("🗜️ Context Optimization:\n");
stats.push_str(&format!(
" • Thinning Events: {:>10}\n",
self.thinning_events.len()
));
if !self.thinning_events.is_empty() {
let total_thinned: usize = self.thinning_events.iter().sum();
let avg_thinned = total_thinned / self.thinning_events.len();
stats.push_str(&format!(" • Total Chars Saved: {:>10}\n", total_thinned));
stats.push_str(&format!(" • Avg Chars/Event: {:>10}\n", avg_thinned));
}
stats.push_str(&format!(
" • Compactions: {:>10}\n",
self.compaction_events.len()
));
if !self.compaction_events.is_empty() {
let total_compacted: usize = self.compaction_events.iter().sum();
let avg_compacted = total_compacted / self.compaction_events.len();
stats.push_str(&format!(
" • Total Chars Saved: {:>10}\n",
total_compacted
));
stats.push_str(&format!(" • Avg Chars/Event: {:>10}\n", avg_compacted));
}
stats.push('\n');
// Performance metrics
stats.push_str("⚡ Performance:\n");
if !self.first_token_times.is_empty() {
let avg_ttft = self.first_token_times.iter().sum::<Duration>()
/ self.first_token_times.len() as u32;
let mut sorted_times = self.first_token_times.clone();
sorted_times.sort();
let median_ttft = sorted_times[sorted_times.len() / 2];
stats.push_str(&format!(
" • Avg Time to First Token: {:>6.3}s\n",
avg_ttft.as_secs_f64()
));
stats.push_str(&format!(
" • Median Time to First Token: {:>6.3}s\n",
median_ttft.as_secs_f64()
));
}
stats.push('\n');
// Conversation history
stats.push_str("💬 Conversation History:\n");
stats.push_str(&format!(
" • Total Messages: {:>10}\n",
self.context_window.conversation_history.len()
));
// Count messages by role
let mut system_count = 0;
let mut user_count = 0;
let mut assistant_count = 0;
for msg in &self.context_window.conversation_history {
match msg.role {
MessageRole::System => system_count += 1,
MessageRole::User => user_count += 1,
MessageRole::Assistant => assistant_count += 1,
}
}
stats.push_str(&format!(" • System Messages: {:>10}\n", system_count));
stats.push_str(&format!(" • User Messages: {:>10}\n", user_count));
stats.push_str(&format!(
" • Assistant Messages:{:>10}\n",
assistant_count
));
stats.push('\n');
// Tool call metrics
stats.push_str("🔧 Tool Call Metrics:\n");
stats.push_str(&format!(
" • Total Tool Calls: {:>10}\n",
self.tool_call_metrics.len()
));
let successful_calls = self
.tool_call_metrics
.iter()
.filter(|(_, _, success)| *success)
.count();
let failed_calls = self.tool_call_metrics.len() - successful_calls;
stats.push_str(&format!(
" • Successful: {:>10}\n",
successful_calls
));
stats.push_str(&format!(" • Failed: {:>10}\n", failed_calls));
if !self.tool_call_metrics.is_empty() {
let total_duration: Duration = self
.tool_call_metrics
.iter()
.map(|(_, duration, _)| *duration)
.sum();
let avg_duration = total_duration / self.tool_call_metrics.len() as u32;
stats.push_str(&format!(
" • Total Duration: {:>10.2}s\n",
total_duration.as_secs_f64()
));
stats.push_str(&format!(
" • Average Duration: {:>10.2}s\n",
avg_duration.as_secs_f64()
));
}
stats.push('\n');
// Provider info
stats.push_str("🔌 Provider:\n");
if let Ok((provider, model)) = self.get_provider_info() {
stats.push_str(&format!(" • Provider: {}\n", provider));
stats.push_str(&format!(" • Model: {}\n", model));
}
stats.push_str(&"=".repeat(60));
stats.push('\n');
stats
use crate::stats::AgentStatsSnapshot;
let snapshot = AgentStatsSnapshot {
context_window: &self.context_window,
thinning_events: &self.thinning_events,
compaction_events: &self.compaction_events,
first_token_times: &self.first_token_times,
tool_call_metrics: &self.tool_call_metrics,
provider_info: self.get_provider_info().ok(),
};
snapshot.format()
}
pub fn get_tool_call_metrics(&self) -> &Vec<(String, Duration, bool)> {

263
crates/g3-core/src/stats.rs Normal file
View File

@@ -0,0 +1,263 @@
//! Agent statistics formatting module.
//!
//! This module provides functionality for formatting detailed statistics
//! about the agent's context window, performance, and tool usage.
use g3_providers::MessageRole;
use std::time::Duration;
use crate::context_window::ContextWindow;
/// Data required to format agent statistics.
/// This struct captures a snapshot of agent state for formatting.
pub struct AgentStatsSnapshot<'a> {
pub context_window: &'a ContextWindow,
pub thinning_events: &'a [usize],
pub compaction_events: &'a [usize],
pub first_token_times: &'a [Duration],
pub tool_call_metrics: &'a [(String, Duration, bool)],
pub provider_info: Option<(String, String)>,
}
impl<'a> AgentStatsSnapshot<'a> {
/// Format detailed context statistics as a string.
pub fn format(&self) -> String {
let mut stats = String::new();
stats.push_str("\n📊 Context Window Statistics\n");
stats.push_str(&"=".repeat(60));
stats.push_str("\n\n");
self.format_context_window(&mut stats);
self.format_optimization_metrics(&mut stats);
self.format_performance_metrics(&mut stats);
self.format_conversation_history(&mut stats);
self.format_tool_call_metrics(&mut stats);
self.format_provider_info(&mut stats);
stats.push_str(&"=".repeat(60));
stats.push('\n');
stats
}
fn format_context_window(&self, stats: &mut String) {
stats.push_str("🗂️ Context Window:\n");
stats.push_str(&format!(
" • Used Tokens: {:>10} / {}\n",
self.context_window.used_tokens, self.context_window.total_tokens
));
stats.push_str(&format!(
" • Usage Percentage: {:>10.1}%\n",
self.context_window.percentage_used()
));
stats.push_str(&format!(
" • Remaining Tokens: {:>10}\n",
self.context_window.remaining_tokens()
));
stats.push_str(&format!(
" • Cumulative Tokens: {:>10}\n",
self.context_window.cumulative_tokens
));
stats.push_str(&format!(
" • Last Thinning: {:>10}%\n",
self.context_window.last_thinning_percentage
));
stats.push('\n');
}
fn format_optimization_metrics(&self, stats: &mut String) {
stats.push_str("🗜️ Context Optimization:\n");
stats.push_str(&format!(
" • Thinning Events: {:>10}\n",
self.thinning_events.len()
));
if !self.thinning_events.is_empty() {
let total_thinned: usize = self.thinning_events.iter().sum();
let avg_thinned = total_thinned / self.thinning_events.len();
stats.push_str(&format!(" • Total Chars Saved: {:>10}\n", total_thinned));
stats.push_str(&format!(" • Avg Chars/Event: {:>10}\n", avg_thinned));
}
stats.push_str(&format!(
" • Compactions: {:>10}\n",
self.compaction_events.len()
));
if !self.compaction_events.is_empty() {
let total_compacted: usize = self.compaction_events.iter().sum();
let avg_compacted = total_compacted / self.compaction_events.len();
stats.push_str(&format!(
" • Total Chars Saved: {:>10}\n",
total_compacted
));
stats.push_str(&format!(" • Avg Chars/Event: {:>10}\n", avg_compacted));
}
stats.push('\n');
}
fn format_performance_metrics(&self, stats: &mut String) {
stats.push_str("⚡ Performance:\n");
if !self.first_token_times.is_empty() {
let avg_ttft = self.first_token_times.iter().sum::<Duration>()
/ self.first_token_times.len() as u32;
let mut sorted_times = self.first_token_times.to_vec();
sorted_times.sort();
let median_ttft = sorted_times[sorted_times.len() / 2];
stats.push_str(&format!(
" • Avg Time to First Token: {:>6.3}s\n",
avg_ttft.as_secs_f64()
));
stats.push_str(&format!(
" • Median Time to First Token: {:>6.3}s\n",
median_ttft.as_secs_f64()
));
}
stats.push('\n');
}
fn format_conversation_history(&self, stats: &mut String) {
stats.push_str("💬 Conversation History:\n");
stats.push_str(&format!(
" • Total Messages: {:>10}\n",
self.context_window.conversation_history.len()
));
// Count messages by role
let mut system_count = 0;
let mut user_count = 0;
let mut assistant_count = 0;
for msg in &self.context_window.conversation_history {
match msg.role {
MessageRole::System => system_count += 1,
MessageRole::User => user_count += 1,
MessageRole::Assistant => assistant_count += 1,
}
}
stats.push_str(&format!(" • System Messages: {:>10}\n", system_count));
stats.push_str(&format!(" • User Messages: {:>10}\n", user_count));
stats.push_str(&format!(
" • Assistant Messages:{:>10}\n",
assistant_count
));
stats.push('\n');
}
fn format_tool_call_metrics(&self, stats: &mut String) {
stats.push_str("🔧 Tool Call Metrics:\n");
stats.push_str(&format!(
" • Total Tool Calls: {:>10}\n",
self.tool_call_metrics.len()
));
let successful_calls = self
.tool_call_metrics
.iter()
.filter(|(_, _, success)| *success)
.count();
let failed_calls = self.tool_call_metrics.len() - successful_calls;
stats.push_str(&format!(
" • Successful: {:>10}\n",
successful_calls
));
stats.push_str(&format!(" • Failed: {:>10}\n", failed_calls));
if !self.tool_call_metrics.is_empty() {
let total_duration: Duration = self
.tool_call_metrics
.iter()
.map(|(_, duration, _)| *duration)
.sum();
let avg_duration = total_duration / self.tool_call_metrics.len() as u32;
stats.push_str(&format!(
" • Total Duration: {:>10.2}s\n",
total_duration.as_secs_f64()
));
stats.push_str(&format!(
" • Average Duration: {:>10.2}s\n",
avg_duration.as_secs_f64()
));
}
stats.push('\n');
}
fn format_provider_info(&self, stats: &mut String) {
stats.push_str("🔌 Provider:\n");
if let Some((provider, model)) = &self.provider_info {
stats.push_str(&format!(" • Provider: {}\n", provider));
stats.push_str(&format!(" • Model: {}\n", model));
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::context_window::ContextWindow;
#[test]
fn test_format_stats_empty() {
let context_window = ContextWindow::new(100000);
let snapshot = AgentStatsSnapshot {
context_window: &context_window,
thinning_events: &[],
compaction_events: &[],
first_token_times: &[],
tool_call_metrics: &[],
provider_info: None,
};
let stats = snapshot.format();
assert!(stats.contains("Context Window Statistics"));
assert!(stats.contains("Used Tokens"));
assert!(stats.contains("Thinning Events"));
assert!(stats.contains("Tool Call Metrics"));
}
#[test]
fn test_format_stats_with_data() {
let context_window = ContextWindow::new(100000);
let thinning_events = vec![1000, 2000, 1500];
let compaction_events = vec![5000];
let first_token_times = vec![
Duration::from_millis(100),
Duration::from_millis(150),
Duration::from_millis(120),
];
let tool_call_metrics = vec![
("shell".to_string(), Duration::from_millis(500), true),
("read_file".to_string(), Duration::from_millis(100), true),
("write_file".to_string(), Duration::from_millis(200), false),
];
let snapshot = AgentStatsSnapshot {
context_window: &context_window,
thinning_events: &thinning_events,
compaction_events: &compaction_events,
first_token_times: &first_token_times,
tool_call_metrics: &tool_call_metrics,
provider_info: Some(("anthropic".to_string(), "claude-3".to_string())),
};
let stats = snapshot.format();
// Check thinning stats
assert!(stats.contains("Thinning Events: 3"));
assert!(stats.contains("Total Chars Saved: 4500")); // 1000+2000+1500
// Check compaction stats
assert!(stats.contains("Compactions: 1"));
// Check tool call stats
assert!(stats.contains("Total Tool Calls: 3"));
assert!(stats.contains("Successful: 2"));
assert!(stats.contains("Failed: 1"));
// Check provider info
assert!(stats.contains("Provider: anthropic"));
assert!(stats.contains("Model: claude-3"));
}
}