874be7b459
Collapsed nested if statements that check related conditions into single conditions using &&. This improves readability by making the logical relationship between conditions explicit. Files changed: - feedback_extraction.rs: 3 instances of tool_use/final_output checks - tools/todo.rs: 1 instance of todo completion check Agent: fowler
659 lines
23 KiB
Rust
659 lines
23 KiB
Rust
//! Coach feedback extraction module
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//!
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//! This module provides robust extraction of coach feedback from various sources:
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//! - Session log files (JSON format)
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//! - Native tool calling JSON format
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//! - Conversation history
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//! - TaskResult response fallback
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//!
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//! Used by both autonomous mode (g3-cli) and planning mode (g3-planner).
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use crate::{logs_dir, Agent, TaskResult};
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use crate::ui_writer::UiWriter;
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use serde_json::Value;
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use std::path::PathBuf;
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use tracing::{debug, warn};
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/// Result of feedback extraction with source information
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#[derive(Debug, Clone)]
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pub struct ExtractedFeedback {
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/// The extracted feedback text
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pub content: String,
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/// The source where feedback was found
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pub source: FeedbackSource,
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}
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/// Source of the extracted feedback
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#[derive(Debug, Clone, PartialEq)]
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pub enum FeedbackSource {
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/// From session log file (verified final_output tool call)
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SessionLog,
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/// From native tool call JSON in response
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NativeToolCall,
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/// From conversation history in agent
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ConversationHistory,
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/// From TaskResult response (fallback)
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TaskResultResponse,
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/// Default fallback message
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DefaultFallback,
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}
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impl ExtractedFeedback {
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/// Create a new extracted feedback
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pub fn new(content: String, source: FeedbackSource) -> Self {
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Self { content, source }
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}
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/// Check if the feedback indicates approval
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pub fn is_approved(&self) -> bool {
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self.content.contains("IMPLEMENTATION_APPROVED")
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}
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/// Check if the feedback is a fallback/default
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pub fn is_fallback(&self) -> bool {
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self.source == FeedbackSource::DefaultFallback
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}
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}
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/// Configuration for feedback extraction
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#[derive(Debug, Clone)]
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pub struct FeedbackExtractionConfig {
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/// Whether to print debug information
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pub verbose: bool,
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/// Custom logs directory (overrides default)
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pub logs_dir: Option<PathBuf>,
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/// Default feedback message if extraction fails
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pub default_feedback: String,
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}
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impl Default for FeedbackExtractionConfig {
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fn default() -> Self {
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Self {
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verbose: false,
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logs_dir: None,
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default_feedback: "The implementation needs review. Please ensure all requirements are met and the code compiles without errors.".to_string(),
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}
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}
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}
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/// Extract coach feedback using multiple fallback methods
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///
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/// Tries extraction in this order:
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/// 1. Session log file (most reliable for final_output tool calls)
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/// 2. Native tool call JSON in the response
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/// 3. Conversation history from the agent
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/// 4. TaskResult response parsing
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/// 5. Default fallback message
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///
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/// # Arguments
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/// * `coach_result` - The task result from coach execution
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/// * `agent` - The coach agent (for session ID and conversation history)
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/// * `config` - Extraction configuration
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///
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/// # Returns
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/// Extracted feedback with source information, never fails
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pub fn extract_coach_feedback<W>(
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coach_result: &TaskResult,
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agent: &Agent<W>,
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config: &FeedbackExtractionConfig,
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) -> ExtractedFeedback
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where
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W: UiWriter + Clone + Send + Sync + 'static,
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{
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// Try session log first - now looks for last assistant message (primary method)
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if let Some(session_id) = agent.get_session_id() {
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if let Some(feedback) = try_extract_last_assistant_message(&session_id, config) {
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debug!("Extracted coach feedback from last assistant message: {} chars", feedback.len());
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return ExtractedFeedback::new(feedback, FeedbackSource::ConversationHistory);
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}
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}
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// Fallback: Try session log with final_output pattern (backwards compatibility)
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if let Some(session_id) = agent.get_session_id() {
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if let Some(feedback) = try_extract_from_session_log(&session_id, config) {
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debug!("Extracted coach feedback from session log (final_output): {} chars", feedback.len());
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return ExtractedFeedback::new(feedback, FeedbackSource::SessionLog);
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}
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}
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// Fallback: Try native tool call JSON parsing (backwards compatibility)
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if let Some(feedback) = try_extract_from_native_tool_call(&coach_result.response) {
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debug!("Extracted coach feedback from native tool call: {} chars", feedback.len());
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return ExtractedFeedback::new(feedback, FeedbackSource::NativeToolCall);
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}
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// Fallback: Try conversation history with final_output pattern (backwards compatibility)
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if let Some(session_id) = agent.get_session_id() {
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if let Some(feedback) = try_extract_from_conversation_history(&session_id, config) {
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debug!("Extracted coach feedback from conversation history: {} chars", feedback.len());
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return ExtractedFeedback::new(feedback, FeedbackSource::ConversationHistory);
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}
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}
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// Fallback: Try TaskResult parsing (extracts last text block)
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let extracted = coach_result.extract_final_output();
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if !extracted.is_empty() {
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debug!("Extracted coach feedback from task result: {} chars", extracted.len());
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return ExtractedFeedback::new(extracted, FeedbackSource::TaskResultResponse);
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}
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// Fallback to default
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warn!("Could not extract coach feedback, using default");
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ExtractedFeedback::new(config.default_feedback.clone(), FeedbackSource::DefaultFallback)
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}
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/// Try to extract the last assistant message from session log (PRIMARY method)
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/// This is the preferred extraction method - looks for the last substantial
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/// assistant message content, regardless of whether it used final_output tool.
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fn try_extract_last_assistant_message(
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session_id: &str,
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config: &FeedbackExtractionConfig,
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) -> Option<String> {
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// Try new .g3/sessions/<session_id>/session.json path first
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let log_file_path = crate::get_session_file(session_id);
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// Fall back to old logs/ path if new path doesn't exist
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let log_file_path = if log_file_path.exists() {
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log_file_path
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} else {
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let logs_path = config.logs_dir.clone().unwrap_or_else(logs_dir);
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logs_path.join(format!("g3_session_{}.json", session_id))
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};
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if !log_file_path.exists() {
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debug!("Session log file not found: {:?}", log_file_path);
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return None;
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}
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let log_content = std::fs::read_to_string(&log_file_path).ok()?;
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let log_json: Value = serde_json::from_str(&log_content).ok()?;
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// Try to get conversation history from context_window
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let messages = log_json
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.get("context_window")?
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.get("conversation_history")?
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.as_array()?;
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// Search backwards for the last assistant message with text content
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for msg in messages.iter().rev() {
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let role = msg.get("role").and_then(|v| v.as_str())?;
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if role.eq_ignore_ascii_case("assistant") {
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if let Some(content) = msg.get("content") {
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// Handle string content
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if let Some(content_str) = content.as_str() {
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let trimmed = content_str.trim();
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// Skip empty or very short responses (likely just tool calls)
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if !trimmed.is_empty() && trimmed.len() > 10 {
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return Some(trimmed.to_string());
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}
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}
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// Handle array content (native tool calling format)
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// Look for text blocks in the array
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if let Some(content_array) = content.as_array() {
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for block in content_array {
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if block.get("type").and_then(|v| v.as_str()) == Some("text") {
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if let Some(text) = block.get("text").and_then(|v| v.as_str()) {
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let trimmed = text.trim();
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if !trimmed.is_empty() && trimmed.len() > 10 {
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return Some(trimmed.to_string());
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}
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}
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}
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}
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}
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}
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}
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}
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None
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}
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/// Try to extract feedback from session log file
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fn try_extract_from_session_log(
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session_id: &str,
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config: &FeedbackExtractionConfig,
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) -> Option<String> {
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// Try new .g3/sessions/<session_id>/session.json path first
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let log_file_path = crate::get_session_file(session_id);
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// Fall back to old logs/ path if new path doesn't exist
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let log_file_path = if log_file_path.exists() {
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log_file_path
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} else {
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let logs_path = config.logs_dir.clone().unwrap_or_else(logs_dir);
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logs_path.join(format!("g3_session_{}.json", session_id))
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};
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if !log_file_path.exists() {
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debug!("Session log file not found: {:?}", log_file_path);
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return None;
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}
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let log_content = std::fs::read_to_string(&log_file_path).ok()?;
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let log_json: Value = serde_json::from_str(&log_content).ok()?;
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// Try to get conversation history from context_window
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let messages = log_json
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.get("context_window")?
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.get("conversation_history")?
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.as_array()?;
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// Search backwards for final_output tool result
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extract_final_output_from_messages(messages)
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}
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/// Try to extract feedback from native tool call JSON in response
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fn try_extract_from_native_tool_call(response: &str) -> Option<String> {
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// Look for various patterns of final_output tool calls
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// Pattern 1: JSON tool call with "tool": "final_output"
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if let Some(feedback) = try_extract_json_tool_call(response) {
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return Some(feedback);
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}
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// Pattern 2: Anthropic-style native tool use block
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if let Some(feedback) = try_extract_anthropic_tool_use(response) {
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return Some(feedback);
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}
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// Pattern 3: OpenAI-style function call
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if let Some(feedback) = try_extract_openai_function_call(response) {
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return Some(feedback);
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}
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None
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}
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/// Extract JSON tool call pattern
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fn try_extract_json_tool_call(response: &str) -> Option<String> {
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// Look for {"tool": "final_output", "args": {"summary": "..."}}
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let mut search_pos = 0;
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while let Some(pos) = response[search_pos..].find("\"tool\"") {
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let actual_pos = search_pos + pos;
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// Find the start of the JSON object
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let json_start = response[..actual_pos].rfind('{')?;
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// Try to find matching closing brace
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if let Some(json_str) = extract_balanced_json(&response[json_start..]) {
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if let Ok(json) = serde_json::from_str::<Value>(&json_str) {
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if json.get("tool").and_then(|v| v.as_str()) == Some("final_output") {
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if let Some(args) = json.get("args") {
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if let Some(summary) = args.get("summary").and_then(|v| v.as_str()) {
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return Some(summary.to_string());
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}
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}
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}
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}
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}
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search_pos = actual_pos + 1;
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}
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None
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}
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/// Extract Anthropic-style tool use block
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fn try_extract_anthropic_tool_use(response: &str) -> Option<String> {
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// Look for content_block with type "tool_use" and name "final_output"
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if !response.contains("tool_use") || !response.contains("final_output") {
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return None;
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}
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// Try to parse as JSON array of content blocks
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if let Some(start) = response.find('[') {
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if let Some(json_str) = extract_balanced_json(&response[start..]) {
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if let Ok(blocks) = serde_json::from_str::<Vec<Value>>(&json_str) {
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for block in blocks {
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if block.get("type").and_then(|v| v.as_str()) == Some("tool_use")
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&& block.get("name").and_then(|v| v.as_str()) == Some("final_output")
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{
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if let Some(input) = block.get("input") {
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if let Some(summary) = input.get("summary").and_then(|v| v.as_str()) {
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return Some(summary.to_string());
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}
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}
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}
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}
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}
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}
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}
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None
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}
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/// Extract OpenAI-style function call
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fn try_extract_openai_function_call(response: &str) -> Option<String> {
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// Look for function_call or tool_calls with final_output
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if !response.contains("final_output") {
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return None;
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}
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// Try to find function call JSON
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if let Some(pos) = response.find("\"function_call\"") {
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if let Some(json_start) = response[pos..].find('{') {
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let start = pos + json_start;
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if let Some(json_str) = extract_balanced_json(&response[start..]) {
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if let Ok(json) = serde_json::from_str::<Value>(&json_str) {
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if json.get("name").and_then(|v| v.as_str()) == Some("final_output") {
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if let Some(args_str) = json.get("arguments").and_then(|v| v.as_str()) {
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if let Ok(args) = serde_json::from_str::<Value>(args_str) {
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if let Some(summary) = args.get("summary").and_then(|v| v.as_str()) {
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return Some(summary.to_string());
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}
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}
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}
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}
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}
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}
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}
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}
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None
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}
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/// Try to extract from conversation history in session log
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fn try_extract_from_conversation_history(
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session_id: &str,
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config: &FeedbackExtractionConfig,
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) -> Option<String> {
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// Try new .g3/sessions/<session_id>/session.json path first
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let log_file_path = crate::get_session_file(session_id);
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// Fall back to old logs/ path if new path doesn't exist
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let log_file_path = if log_file_path.exists() {
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log_file_path
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} else {
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let logs_path = config.logs_dir.clone().unwrap_or_else(logs_dir);
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logs_path.join(format!("g3_session_{}.json", session_id))
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};
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if !log_file_path.exists() {
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return None;
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}
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let log_content = std::fs::read_to_string(&log_file_path).ok()?;
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let log_json: Value = serde_json::from_str(&log_content).ok()?;
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// Check for tool_calls array in the log
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if let Some(tool_calls) = log_json.get("tool_calls").and_then(|v| v.as_array()) {
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// Look backwards for final_output
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for call in tool_calls.iter().rev() {
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if call.get("tool").and_then(|v| v.as_str()) == Some("final_output") {
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if let Some(args) = call.get("args") {
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if let Some(summary) = args.get("summary").and_then(|v| v.as_str()) {
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return Some(summary.to_string());
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}
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}
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}
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}
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}
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None
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}
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/// Extract final_output from message array
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fn extract_final_output_from_messages(messages: &[Value]) -> Option<String> {
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// Go backwards through conversation to find the last final_output tool result
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for i in (0..messages.len()).rev() {
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let msg = &messages[i];
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let role = msg.get("role").and_then(|v| v.as_str())?;
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// Check for User message with "Tool result:"
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if role.eq_ignore_ascii_case("user") {
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if let Some(content) = msg.get("content").and_then(|v| v.as_str()) {
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if content.starts_with("Tool result:") {
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// Verify preceding message was a final_output tool call
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if i > 0 && is_final_output_tool_call(&messages[i - 1]) {
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let feedback = content
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.strip_prefix("Tool result: ")
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.or_else(|| content.strip_prefix("Tool result:"))
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.unwrap_or(content)
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.to_string();
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return Some(feedback);
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}
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}
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}
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}
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// Also check for native tool results in assistant messages
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if role.eq_ignore_ascii_case("assistant") {
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if let Some(content) = msg.get("content") {
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// Could be string or array (for native tool calling)
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if let Some(content_str) = content.as_str() {
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if let Some(feedback) = try_extract_from_native_tool_call(content_str) {
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return Some(feedback);
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}
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} else if let Some(content_array) = content.as_array() {
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for block in content_array {
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if block.get("type").and_then(|v| v.as_str()) == Some("tool_use")
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&& block.get("name").and_then(|v| v.as_str()) == Some("final_output")
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{
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if let Some(input) = block.get("input") {
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if let Some(summary) = input.get("summary").and_then(|v| v.as_str()) {
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return Some(summary.to_string());
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}
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}
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}
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}
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}
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}
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}
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}
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None
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}
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|
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/// Check if a message is a final_output tool call
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fn is_final_output_tool_call(msg: &Value) -> bool {
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let role = match msg.get("role").and_then(|v| v.as_str()) {
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Some(r) => r,
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None => return false,
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};
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|
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if !role.eq_ignore_ascii_case("assistant") {
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return false;
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}
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if let Some(content) = msg.get("content") {
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// Check string content
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if let Some(content_str) = content.as_str() {
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if content_str.contains("\"tool\": \"final_output\"")
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|| content_str.contains("\"tool\":\"final_output\"") {
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return true;
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}
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}
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|
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// Check array content (native tool calling)
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if let Some(content_array) = content.as_array() {
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for block in content_array {
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if block.get("type").and_then(|v| v.as_str()) == Some("tool_use")
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&& block.get("name").and_then(|v| v.as_str()) == Some("final_output")
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{
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return true;
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}
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}
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}
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}
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|
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// Check tool_calls field (OpenAI format)
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if let Some(tool_calls) = msg.get("tool_calls").and_then(|v| v.as_array()) {
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for call in tool_calls {
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if let Some(function) = call.get("function") {
|
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if function.get("name").and_then(|v| v.as_str()) == Some("final_output") {
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return true;
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}
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}
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}
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}
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false
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}
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|
|
/// Extract a balanced JSON object/array from a string
|
|
fn extract_balanced_json(s: &str) -> Option<String> {
|
|
let chars: Vec<char> = s.chars().collect();
|
|
if chars.is_empty() {
|
|
return None;
|
|
}
|
|
|
|
let opener = chars[0];
|
|
let closer = match opener {
|
|
'{' => '}',
|
|
'[' => ']',
|
|
_ => return None,
|
|
};
|
|
|
|
let mut depth = 0;
|
|
let mut in_string = false;
|
|
let mut escape_next = false;
|
|
|
|
for (i, &c) in chars.iter().enumerate() {
|
|
if escape_next {
|
|
escape_next = false;
|
|
continue;
|
|
}
|
|
|
|
if c == '\\' && in_string {
|
|
escape_next = true;
|
|
continue;
|
|
}
|
|
|
|
if c == '"' {
|
|
in_string = !in_string;
|
|
continue;
|
|
}
|
|
|
|
if in_string {
|
|
continue;
|
|
}
|
|
|
|
if c == opener {
|
|
depth += 1;
|
|
} else if c == closer {
|
|
depth -= 1;
|
|
if depth == 0 {
|
|
return Some(chars[..=i].iter().collect());
|
|
}
|
|
}
|
|
}
|
|
|
|
None
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
|
|
#[test]
|
|
fn test_extract_balanced_json_object() {
|
|
let input = r#"{"tool": "test", "args": {"key": "value"}} extra"#;
|
|
let result = extract_balanced_json(input);
|
|
assert_eq!(result, Some(r#"{"tool": "test", "args": {"key": "value"}}"#.to_string()));
|
|
}
|
|
|
|
#[test]
|
|
fn test_extract_balanced_json_array() {
|
|
let input = r#"[{"type": "test"}, {"type": "test2"}] extra"#;
|
|
let result = extract_balanced_json(input);
|
|
assert_eq!(result, Some(r#"[{"type": "test"}, {"type": "test2"}]"#.to_string()));
|
|
}
|
|
|
|
#[test]
|
|
fn test_extract_balanced_json_with_strings() {
|
|
let input = r#"{"message": "hello {world}", "count": 1}"#;
|
|
let result = extract_balanced_json(input);
|
|
assert_eq!(result, Some(input.to_string()));
|
|
}
|
|
|
|
#[test]
|
|
fn test_try_extract_json_tool_call() {
|
|
let response = r#"Some text {"tool": "final_output", "args": {"summary": "Test feedback"}} more text"#;
|
|
let result = try_extract_json_tool_call(response);
|
|
assert_eq!(result, Some("Test feedback".to_string()));
|
|
}
|
|
|
|
#[test]
|
|
fn test_try_extract_json_tool_call_not_final_output() {
|
|
let response = r#"{"tool": "shell", "args": {"command": "ls"}}"#;
|
|
let result = try_extract_json_tool_call(response);
|
|
assert_eq!(result, None);
|
|
}
|
|
|
|
#[test]
|
|
fn test_is_final_output_tool_call_string() {
|
|
let msg = serde_json::json!({
|
|
"role": "assistant",
|
|
"content": r#"{"tool": "final_output", "args": {"summary": "done"}}"#
|
|
});
|
|
assert!(is_final_output_tool_call(&msg));
|
|
}
|
|
|
|
#[test]
|
|
fn test_is_final_output_tool_call_native() {
|
|
let msg = serde_json::json!({
|
|
"role": "assistant",
|
|
"content": [{
|
|
"type": "tool_use",
|
|
"name": "final_output",
|
|
"input": {"summary": "done"}
|
|
}]
|
|
});
|
|
assert!(is_final_output_tool_call(&msg));
|
|
}
|
|
|
|
#[test]
|
|
fn test_is_final_output_tool_call_openai() {
|
|
let msg = serde_json::json!({
|
|
"role": "assistant",
|
|
"content": "",
|
|
"tool_calls": [{
|
|
"function": {
|
|
"name": "final_output",
|
|
"arguments": r#"{"summary": "done"}"#
|
|
}
|
|
}]
|
|
});
|
|
assert!(is_final_output_tool_call(&msg));
|
|
}
|
|
|
|
#[test]
|
|
fn test_extracted_feedback_is_approved() {
|
|
let feedback = ExtractedFeedback::new(
|
|
"IMPLEMENTATION_APPROVED - great work!".to_string(),
|
|
FeedbackSource::SessionLog,
|
|
);
|
|
assert!(feedback.is_approved());
|
|
|
|
let feedback = ExtractedFeedback::new(
|
|
"Please fix the following issues".to_string(),
|
|
FeedbackSource::SessionLog,
|
|
);
|
|
assert!(!feedback.is_approved());
|
|
}
|
|
|
|
#[test]
|
|
fn test_extracted_feedback_is_fallback() {
|
|
let feedback = ExtractedFeedback::new(
|
|
"Default message".to_string(),
|
|
FeedbackSource::DefaultFallback,
|
|
);
|
|
assert!(feedback.is_fallback());
|
|
|
|
let feedback = ExtractedFeedback::new(
|
|
"Real feedback".to_string(),
|
|
FeedbackSource::SessionLog,
|
|
);
|
|
assert!(!feedback.is_fallback());
|
|
}
|
|
|
|
#[test]
|
|
fn test_feedback_extraction_config_default() {
|
|
let config = FeedbackExtractionConfig::default();
|
|
assert!(!config.verbose);
|
|
assert!(config.logs_dir.is_none());
|
|
assert!(config.default_feedback.contains("review"));
|
|
}
|
|
}
|