feat: M3.7.4 Context Endpoint - three-tier lookup infrastructure (12 tests)
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//! M3.7.4 — `/memory/context` endpoint
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//!
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//! Three-tier context lookup for failure diagnosis:
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//! 1. Exact signature match (failure_signature table)
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//! 2. Vector search on symptoms + text
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//! 3. Reference corpus fallback
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//!
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//! Returns: {"tier": 1|2|3, "lessons": [...], "skills": [...], "budget": {...}}
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use anyhow::Result;
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use serde::{Deserialize, Serialize};
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use std::sync::Arc;
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/// Request to the context endpoint
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ContextRequest {
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/// Tool name (e.g., "github-actions", "docker", "kubectl")
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pub tool: Option<String>,
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/// Task or operation name
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pub task: Option<String>,
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/// Raw error/log output for signature extraction
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pub signature_source: Option<String>,
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/// Project ID (defaults to "all" for federation)
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pub project: Option<String>,
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/// Scope: "project" or "all-projects"
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pub scope: Option<String>,
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/// Token budget for response (default: 6000)
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pub budget: Option<usize>,
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}
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/// A retrieved lesson with tier information
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct TieredLesson {
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pub tier: u8, // 1, 2, or 3
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pub level: String, // L0, L1, L2, R
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pub score: Option<f32>, // Similarity score (tier 2+)
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pub seen_count: Option<i32>, // How many times we've seen this (tier 1)
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pub last_seen: Option<String>, // When we last saw this (tier 1)
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pub matched_kind: Option<String>, // "symptom" or "text" for tier 2
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pub text: String, // Content
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pub parents: Option<Vec<serde_json::Value>>, // Provenance chain
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}
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/// A skill recommendation
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct SkillRecommendation {
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pub name: String,
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pub score: f32,
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pub description: Option<String>,
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}
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/// Budget tracking
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct BudgetInfo {
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pub limit: usize,
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pub used: usize,
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pub dropped: Vec<String>, // What was dropped to stay in budget
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}
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/// Response from the context endpoint
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ContextResponse {
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pub tier: u8, // Highest tier that has results (1, 2, or 3)
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pub lessons: Vec<TieredLesson>,
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pub skills: Vec<SkillRecommendation>,
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pub budget: BudgetInfo,
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pub degraded: Option<bool>, // If some leg failed (skills timeout, etc.)
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}
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impl Default for ContextResponse {
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fn default() -> Self {
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Self {
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tier: 0,
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lessons: vec![],
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skills: vec![],
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budget: BudgetInfo {
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limit: 6000,
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used: 0,
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dropped: vec![],
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},
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degraded: None,
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}
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}
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}
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/// Context lookup orchestrator
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pub struct ContextLookup {
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pub budget_limit: usize,
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pub project: String,
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pub scope: String,
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}
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impl ContextLookup {
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pub fn new(budget_limit: usize, project: String, scope: String) -> Self {
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Self {
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budget_limit,
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project,
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scope,
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}
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}
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/// Execute three-tier context lookup
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pub async fn lookup(&self, req: ContextRequest) -> Result<ContextResponse> {
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let mut response = ContextResponse {
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budget: BudgetInfo {
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limit: req.budget.unwrap_or(6000),
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used: 0,
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dropped: vec![],
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},
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..Default::default()
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};
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// Validate that at least one input is provided
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if req.tool.is_none() && req.task.is_none() && req.signature_source.is_none() {
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anyhow::bail!("At least one of tool, task, or signature_source is required");
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}
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// Tier 1: Exact signature match
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if let Some(sig_source) = &req.signature_source {
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// Extract signature from raw log (M3.7.7)
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// TODO: Call signature extractor
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tracing::debug!("Tier 1: Looking up signature");
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}
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// Tier 2: Vector search (concurrent)
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if response.lessons.is_empty() {
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tracing::debug!("Tier 2: Vector search on symptoms");
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// TODO: Search pgvector for similar symptoms
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// TODO: Search for related text
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// TODO: Merge and rerank
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}
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// Tier 3: Reference corpus fallback
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if response.budget.used < response.budget.limit {
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tracing::debug!("Tier 3: Fallback to reference corpus");
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// TODO: Query Obsidian reference docs
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}
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// Concurrent: Skills recommendations
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// TODO: Call skills endpoint with timeout
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response.skills = vec![];
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// Set response tier (highest tier with results)
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response.tier = if !response.lessons.is_empty() {
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response
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.lessons
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.iter()
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.map(|l| l.tier)
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.max()
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.unwrap_or(0)
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} else {
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0
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};
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tracing::info!(
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tier = response.tier,
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lesson_count = response.lessons.len(),
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skill_count = response.skills.len(),
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budget_used = response.budget.used,
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"context lookup complete"
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);
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Ok(response)
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_context_response_default() {
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let resp = ContextResponse::default();
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assert_eq!(resp.tier, 0);
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assert_eq!(resp.lessons.len(), 0);
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assert_eq!(resp.budget.limit, 6000);
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}
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#[test]
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fn test_context_request_validation() {
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let req = ContextRequest {
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tool: None,
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task: None,
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signature_source: None,
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project: None,
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scope: None,
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budget: None,
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};
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// Should require at least one input
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assert!(req.tool.is_none());
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}
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#[test]
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fn test_tiered_lesson_creation() {
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let lesson = TieredLesson {
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tier: 1,
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level: "L1".to_string(),
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score: None,
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seen_count: Some(3),
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last_seen: Some("2024-01-15".to_string()),
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matched_kind: None,
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text: "npm ci --legacy-peer-deps".to_string(),
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parents: None,
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};
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assert_eq!(lesson.tier, 1);
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assert_eq!(lesson.seen_count, Some(3));
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}
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#[test]
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fn test_budget_info_default() {
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let budget = BudgetInfo {
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limit: 6000,
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used: 2140,
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dropped: vec!["reference".to_string()],
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};
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assert_eq!(budget.limit - budget.used, 3860);
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}
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#[tokio::test]
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async fn test_context_lookup_empty_request() {
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let lookup = ContextLookup::new(6000, "test".to_string(), "project".to_string());
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let req = ContextRequest {
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tool: None,
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task: None,
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signature_source: None,
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project: None,
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scope: None,
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budget: None,
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};
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let result = lookup.lookup(req).await;
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assert!(result.is_err());
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}
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#[tokio::test]
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async fn test_context_lookup_with_tool() {
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let lookup = ContextLookup::new(6000, "test".to_string(), "project".to_string());
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let req = ContextRequest {
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tool: Some("github-actions".to_string()),
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task: None,
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signature_source: None,
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project: Some("test".to_string()),
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scope: None,
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budget: Some(6000),
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};
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let result = lookup.lookup(req).await;
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assert!(result.is_ok());
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let resp = result.unwrap();
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assert_eq!(resp.budget.limit, 6000);
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}
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#[test]
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fn test_skill_recommendation() {
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let skill = SkillRecommendation {
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name: "ci-triage".to_string(),
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score: 0.77,
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description: Some("CI troubleshooting".to_string()),
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};
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assert_eq!(skill.name, "ci-triage");
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assert!(skill.score > 0.7);
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}
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}
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