kandil_code 0.1.0

Intelligent development platform (CLI + TUI + Multi-Agent System)
//! QA simulation agent
//!
//! Agent that simulates the role of a Quality Assurance engineer

use crate::core::adapters::ai::KandilAI;
use crate::core::agents::base::{Agent, AgentState};
use anyhow::Result;
use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TestPlan {
    pub id: String,
    pub title: String,
    pub description: String,
    pub test_scenarios: Vec<TestScenario>,
    pub priority: Priority,
    pub estimated_duration: String,
    pub environment: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TestScenario {
    pub id: String,
    pub title: String,
    pub preconditions: Vec<String>,
    pub steps: Vec<String>,
    pub expected_results: Vec<String>,
    pub actual_results: Option<Vec<String>>,
    pub status: TestStatus,
    pub priority: Priority,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TestStatus {
    NotStarted,
    InProgress,
    Passed,
    Failed,
    Blocked,
    Skipped,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Priority {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BugReport {
    pub id: String,
    pub title: String,
    pub description: String,
    pub severity: Severity,
    pub priority: Priority,
    pub status: BugStatus,
    pub environment: String,
    pub reproduction_steps: Vec<String>,
    pub actual_behavior: String,
    pub expected_behavior: String,
    pub attachments: Vec<String>,
    pub created_date: String,
    pub assigned_to: Option<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Severity {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum BugStatus {
    New,
    Open,
    InProgress,
    Resolved,
    Closed,
    Reopened,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityReport {
    pub test_execution_summary: TestExecutionSummary,
    pub bug_summary: BugSummary,
    pub quality_metrics: QualityMetrics,
    pub recommendations: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TestExecutionSummary {
    pub total_tests: u32,
    pub passed: u32,
    pub failed: u32,
    pub blocked: u32,
    pub skipped: u32,
    pub pass_rate: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BugSummary {
    pub total_bugs: u32,
    pub by_severity: HashMap<String, u32>,
    pub by_status: HashMap<String, u32>,
    pub critical_bugs: u32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityMetrics {
    pub code_coverage: f32,
    pub cyclomatic_complexity: f32,
    pub maintainability_index: f32,
    pub security_score: u8,
    pub performance_score: u8,
}

pub struct QaSimulation {
    pub ai: Arc<KandilAI>,
    test_plans: HashMap<String, TestPlan>,
    bug_reports: HashMap<String, BugReport>,
    quality_history: Vec<QualityReport>,
}

impl QaSimulation {
    pub fn new(ai: Arc<KandilAI>) -> Self {
        Self {
            ai,
            test_plans: HashMap::new(),
            bug_reports: HashMap::new(),
            quality_history: vec![],
        }
    }

    pub async fn generate_test_plan(
        &mut self,
        feature_spec: &str,
        priority: Priority,
    ) -> Result<TestPlan> {
        let test_plan_id = format!("TP-{}", self.test_plans.len() + 1);

        let prompt = format!(
            r#"Generate a comprehensive test plan for this feature:
            {}
            
            Create test scenarios covering:
            - Functional requirements
            - Non-functional requirements
            - Edge cases
            - Error conditions
            - Performance requirements
            - Security considerations
            "#,
            feature_spec
        );

        let test_plan_text = self.ai.chat(&prompt).await?;

        let test_plan = TestPlan {
            id: test_plan_id,
            title: format!(
                "Test Plan for: {}",
                feature_spec.chars().take(30).collect::<String>()
            ),
            description: feature_spec.to_string(),
            test_scenarios: vec![TestScenario {
                id: "TS-001".to_string(),
                title: "Verify main functionality".to_string(),
                preconditions: vec!["System is running".to_string()],
                steps: vec![
                    "Execute main function".to_string(),
                    "Verify output".to_string(),
                ],
                expected_results: vec!["Function returns expected result".to_string()],
                actual_results: None,
                status: TestStatus::NotStarted,
                priority: priority.clone(),
            }],
            priority,
            estimated_duration: "2-3 days".to_string(),
            environment: "Test Environment".to_string(),
        };

        self.test_plans
            .insert(test_plan.id.clone(), test_plan.clone());

        Ok(test_plan)
    }

    pub async fn execute_test(
        &mut self,
        test_plan_id: &str,
        test_scenario_id: &str,
    ) -> Result<TestStatus> {
        if let Some(plan) = self.test_plans.get_mut(test_plan_id) {
            if let Some(scenario) = plan
                .test_scenarios
                .iter_mut()
                .find(|s| s.id == test_scenario_id)
            {
                // Simulate test execution
                scenario.status = TestStatus::Passed;
                scenario.actual_results = Some(vec!["Test executed successfully".to_string()]);

                return Ok(scenario.status.clone());
            }
        }

        Err(anyhow::anyhow!(
            "Test scenario {} not found in plan {}",
            test_scenario_id,
            test_plan_id
        ))
    }

    pub async fn report_bug(
        &mut self,
        title: &str,
        description: &str,
        severity: Severity,
        environment: &str,
    ) -> Result<BugReport> {
        let bug_id = format!("BUG-{}", self.bug_reports.len() + 1);

        let bug_report = BugReport {
            id: bug_id,
            title: title.to_string(),
            description: description.to_string(),
            severity: severity.clone(),
            priority: match severity {
                Severity::Critical | Severity::High => Priority::Critical,
                Severity::Medium => Priority::High,
                Severity::Low => Priority::Medium,
            },
            status: BugStatus::New,
            environment: environment.to_string(),
            reproduction_steps: vec![
                "Start application".to_string(),
                "Perform action".to_string(),
                "Observe result".to_string(),
            ],
            actual_behavior: "Actual behavior differs from expected".to_string(),
            expected_behavior: "Function should behave as specified".to_string(),
            attachments: vec![],
            created_date: chrono::Utc::now().format("%Y-%m-%d").to_string(),
            assigned_to: None,
        };

        self.bug_reports
            .insert(bug_report.id.clone(), bug_report.clone());

        Ok(bug_report)
    }

    pub async fn generate_quality_report(&self) -> Result<QualityReport> {
        Ok(QualityReport {
            test_execution_summary: TestExecutionSummary {
                total_tests: 10,
                passed: 8,
                failed: 1,
                blocked: 0,
                skipped: 1,
                pass_rate: 80.0,
            },
            bug_summary: BugSummary {
                total_bugs: 5,
                by_severity: vec![("High".to_string(), 2), ("Medium".to_string(), 3)]
                    .into_iter()
                    .collect(),
                by_status: vec![("Open".to_string(), 3), ("Resolved".to_string(), 2)]
                    .into_iter()
                    .collect(),
                critical_bugs: 1,
            },
            quality_metrics: QualityMetrics {
                code_coverage: 85.5,
                cyclomatic_complexity: 2.3,
                maintainability_index: 78.0,
                security_score: 82,
                performance_score: 76,
            },
            recommendations: vec![
                "Increase test coverage in critical modules".to_string(),
                "Address high severity bugs before release".to_string(),
            ],
        })
    }

    pub async fn run_security_test(&self, target: &str) -> Result<String> {
        let prompt = format!(
            r#"Perform security testing on: {}
            
            Check for:
            - OWASP Top 10 vulnerabilities
            - Authentication/Authorization issues
            - Input validation problems
            - Data exposure risks
            - Security misconfigurations
            "#,
            target
        );

        self.ai.chat(&prompt).await
    }

    pub fn get_test_plan(&self, id: &str) -> Option<&TestPlan> {
        self.test_plans.get(id)
    }

    pub fn get_bug_report(&self, id: &str) -> Option<&BugReport> {
        self.bug_reports.get(id)
    }
}

#[async_trait]
impl Agent for QaSimulation {
    async fn plan(&self, state: &AgentState) -> Result<String> {
        let prompt = format!(
            "As a QA Engineer, given this testing challenge: {}\n\nPlan the next testing activity. Consider test coverage, risk areas, and quality objectives.",
            state.task
        );

        self.ai.chat(&prompt).await
    }

    async fn act(&self, plan: &str) -> Result<String> {
        // Execute the planned QA activity
        let prompt = format!(
            "Perform this QA task: {}\n\nExecute tests, analyze results, or generate quality reports.",
            plan
        );

        self.ai.chat(&prompt).await
    }

    async fn observe(&self, result: &str) -> Result<String> {
        // Analyze QA results
        let prompt = format!(
            "Analyze these QA results: {}\n\nWhat do these results indicate about product quality? What risks are identified?",
            result
        );

        self.ai.chat(&prompt).await
    }
}