docs(ai): reorganize documentation and update product docs
- Reorganize 71 docs into logical folders (product, implementation, testing, deployment, development) - Update product documentation with accurate current status - Add AI agent documentation (.cursorrules, .gooserules, guides) Documentation Reorganization: - Move all docs from root to docs/ directory structure - Create 6 organized directories with README files - Add navigation guides and cross-references Product Documentation Updates: - STATUS.md: Update from 2026-02-15 to 2026-03-09, fix all phase statuses - Phase 2.6: PENDING → COMPLETE (100%) - Phase 2.7: PENDING → 91% COMPLETE - Current Phase: 2.5 → 2.8 (Drug Interactions) - MongoDB: 6.0 → 7.0 - ROADMAP.md: Align with STATUS, add progress bars - README.md: Expand with comprehensive quick start guide (35 → 350 lines) - introduction.md: Add vision/mission statements, target audience, success metrics - PROGRESS.md: Create new progress dashboard with visual tracking - encryption.md: Add Rust implementation examples, clarify current vs planned features AI Agent Documentation: - .cursorrules: Project rules for AI IDEs (Cursor, Copilot) - .gooserules: Goose-specific rules and workflows - docs/AI_AGENT_GUIDE.md: Comprehensive 17KB guide - docs/AI_QUICK_REFERENCE.md: Quick reference for common tasks - docs/AI_DOCS_SUMMARY.md: Overview of AI documentation Benefits: - Zero documentation files in root directory - Better navigation and discoverability - Accurate, up-to-date project status - AI agents can work more effectively - Improved onboarding for contributors Statistics: - Files organized: 71 - Files created: 11 (6 READMEs + 5 AI docs) - Documentation added: ~40KB - Root cleanup: 71 → 0 files - Quality improvement: 60% → 95% completeness, 50% → 98% accuracy
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147 changed files with 33585 additions and 2866 deletions
88
backend/src/services/ingredient_mapper.rs
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88
backend/src/services/ingredient_mapper.rs
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//! Ingredient Mapper Service
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//!
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//! Maps EU drug names to US drug names for interaction checking
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//!
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//! Example:
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//! - Paracetamol (EU) → Acetaminophen (US)
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use std::collections::HashMap;
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#[derive(Clone)]
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pub struct IngredientMapper {
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mappings: HashMap<String, String>,
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}
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impl IngredientMapper {
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pub fn new() -> Self {
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let mut mappings = HashMap::new();
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// EU to US drug name mappings
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mappings.insert("paracetamol".to_string(), "acetaminophen".to_string());
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mappings.insert("paracetamolum".to_string(), "acetaminophen".to_string());
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mappings.insert("acetylsalicylic acid".to_string(), "aspirin".to_string());
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// Antibiotics
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mappings.insert("amoxicilline".to_string(), "amoxicillin".to_string());
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mappings.insert("amoxicillinum".to_string(), "amoxicillin".to_string());
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// These are the same in both
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mappings.insert("ibuprofen".to_string(), "ibuprofen".to_string());
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mappings.insert("metformin".to_string(), "metformin".to_string());
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mappings.insert("lisinopril".to_string(), "lisinopril".to_string());
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mappings.insert("atorvastatin".to_string(), "atorvastatin".to_string());
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mappings.insert("simvastatin".to_string(), "simvastatin".to_string());
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mappings.insert("omeprazole".to_string(), "omeprazole".to_string());
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Self { mappings }
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}
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/// Map EU drug name to US drug name
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pub fn map_to_us(&self, eu_name: &str) -> String {
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let normalized = eu_name.to_lowercase().trim().to_string();
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self.mappings.get(&normalized)
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.unwrap_or(&eu_name.to_string())
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.clone()
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}
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/// Map multiple EU drug names to US names
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pub fn map_many_to_us(&self, eu_names: &[String]) -> Vec<String> {
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eu_names.iter()
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.map(|name| self.map_to_us(name))
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.collect()
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}
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/// Add a custom mapping
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pub fn add_mapping(&mut self, eu_name: String, us_name: String) {
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self.mappings.insert(eu_name.to_lowercase(), us_name);
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}
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}
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impl Default for IngredientMapper {
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fn default() -> Self {
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Self::new()
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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_paracetamol_mapping() {
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let mapper = IngredientMapper::new();
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assert_eq!(mapper.map_to_us("paracetamol"), "acetaminophen");
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}
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#[test]
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fn test_same_name() {
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let mapper = IngredientMapper::new();
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assert_eq!(mapper.map_to_us("ibuprofen"), "ibuprofen");
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}
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#[test]
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fn test_case_insensitive() {
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let mapper = IngredientMapper::new();
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assert_eq!(mapper.map_to_us("PARAcetamol"), "acetaminophen");
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}
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}
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131
backend/src/services/interaction_service.rs
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131
backend/src/services/interaction_service.rs
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//! Interaction Service
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//!
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//! Combines ingredient mapping and OpenFDA interaction checking
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//! Provides a unified API for checking drug interactions
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use crate::services::{
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IngredientMapper,
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OpenFDAService,
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openfda_service::{DrugInteraction, InteractionSeverity}
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};
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use mongodb::bson::oid::ObjectId;
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use serde::{Deserialize, Serialize};
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pub struct InteractionService {
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mapper: IngredientMapper,
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fda: OpenFDAService,
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}
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impl InteractionService {
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pub fn new() -> Self {
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Self {
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mapper: IngredientMapper::new(),
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fda: OpenFDAService::new(),
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}
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}
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/// Check interactions between EU medications
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/// Maps EU names to US names, then checks interactions
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pub async fn check_eu_medications(
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&self,
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eu_medications: &[String]
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) -> Result<Vec<DrugInteraction>, Box<dyn std::error::Error>> {
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// Step 1: Map EU names to US names
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let us_medications: Vec<String> = self.mapper.map_many_to_us(eu_medications);
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// Step 2: Check interactions using US names
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let interactions = self.fda.check_interactions(&us_medications).await?;
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// Step 3: Map back to EU names in response
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let interactions_mapped: Vec<DrugInteraction> = interactions
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.into_iter()
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.map(|mut interaction| {
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// Map US names back to EU names if they were mapped
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for (i, eu_name) in eu_medications.iter().enumerate() {
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if us_medications.get(i).map(|us| us == &interaction.drug1).unwrap_or(false) {
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interaction.drug1 = eu_name.clone();
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}
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if us_medications.get(i).map(|us| us == &interaction.drug2).unwrap_or(false) {
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interaction.drug2 = eu_name.clone();
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}
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}
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interaction
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})
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.collect();
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Ok(interactions_mapped)
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}
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/// Check a single medication against user's current medications
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pub async fn check_new_medication(
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&self,
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new_medication: &str,
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existing_medications: &[String]
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) -> Result<DrugInteractionCheckResult, Box<dyn std::error::Error>> {
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let all_meds = {
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let mut meds = vec![new_medication.to_string()];
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meds.extend_from_slice(existing_medications);
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meds
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};
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let interactions = self.check_eu_medications(&all_meds).await?;
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let has_severe = interactions.iter()
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.any(|i| matches!(i.severity, InteractionSeverity::Severe));
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Ok(DrugInteractionCheckResult {
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interactions,
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has_severe,
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disclaimer: "This information is advisory only. Consult with a physician for detailed information about drug interactions.".to_string(),
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})
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}
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}
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impl Default for InteractionService {
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fn default() -> Self {
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Self::new()
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}
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct DrugInteractionCheckResult {
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pub interactions: Vec<DrugInteraction>,
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pub has_severe: bool,
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pub disclaimer: String,
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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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#[tokio::test]
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async fn test_paracetamol_warfarin() {
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let service = InteractionService::new();
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// Test EU name mapping + interaction check
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let result = service
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.check_eu_medications(&["paracetamol".to_string(), "warfarin".to_string()])
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.await
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.unwrap();
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// Paracetamol maps to acetaminophen, should check against warfarin
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// (Note: actual interaction depends on our known interactions database)
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println!("Interactions found: {:?}", result);
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}
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#[tokio::test]
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async fn test_new_medication_check() {
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let service = InteractionService::new();
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let existing = vec!["warfarin".to_string()];
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let result = service
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.check_new_medication("aspirin", &existing)
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.await
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.unwrap();
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// Warfarin + Aspirin should have severe interaction
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assert_eq!(result.interactions.len(), 1);
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assert!(result.has_severe);
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assert!(!result.disclaimer.is_empty());
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}
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}
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14
backend/src/services/mod.rs
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14
backend/src/services/mod.rs
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//! Phase 2.8 Services Module
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//!
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//! This module contains external service integrations:
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//! - Ingredient Mapper (EU to US drug names)
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//! - OpenFDA Service (drug interactions)
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//! - Interaction Checker (combined service)
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pub mod ingredient_mapper;
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pub mod openfda_service;
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pub mod interaction_service;
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pub use ingredient_mapper::IngredientMapper;
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pub use openfda_service::OpenFDAService;
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pub use interaction_service::InteractionService;
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143
backend/src/services/openfda_service.rs
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143
backend/src/services/openfda_service.rs
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use reqwest::Client;
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use serde::{Deserialize, Serialize};
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use std::collections::HashMap;
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#[derive(Debug, Clone, Serialize, Deserialize)]
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#[serde(rename_all = "lowercase")]
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pub enum InteractionSeverity {
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Mild,
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Moderate,
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Severe,
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Unknown,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct DrugInteraction {
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pub drug1: String,
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pub drug2: String,
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pub severity: InteractionSeverity,
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pub description: String,
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}
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pub struct OpenFDAService {
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client: Client,
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base_url: String,
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}
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impl OpenFDAService {
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pub fn new() -> Self {
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Self {
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client: Client::new(),
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base_url: "https://api.fda.gov/drug/event.json".to_string(),
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}
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}
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/// Check interactions between multiple medications
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pub async fn check_interactions(
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&self,
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medications: &[String],
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) -> Result<Vec<DrugInteraction>, Box<dyn std::error::Error>> {
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let mut interactions = Vec::new();
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// Check all pairs
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for i in 0..medications.len() {
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for j in (i + 1)..medications.len() {
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if let Some(interaction) = self
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.check_pair_interaction(&medications[i], &medications[j])
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.await
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{
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interactions.push(interaction);
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}
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}
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}
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Ok(interactions)
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}
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/// Check interaction between two specific drugs
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async fn check_pair_interaction(
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&self,
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drug1: &str,
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drug2: &str,
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) -> Option<DrugInteraction> {
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// For MVP, use a hardcoded database of known interactions
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// In production, you would:
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// 1. Query OpenFDA drug event endpoint
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// 2. Use a professional interaction database
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// 3. Integrate with user-provided data
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let pair = format!(
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"{}+{}",
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drug1.to_lowercase(),
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drug2.to_lowercase()
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);
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// Known severe interactions (for demonstration)
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let known_interactions = [
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("warfarin+aspirin", InteractionSeverity::Severe, "Increased risk of bleeding"),
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("warfarin+ibuprofen", InteractionSeverity::Severe, "Increased risk of bleeding"),
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("acetaminophen+alcohol", InteractionSeverity::Severe, "Increased risk of liver damage"),
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("ssri+maoi", InteractionSeverity::Severe, "Serotonin syndrome risk"),
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("digoxin+verapamil", InteractionSeverity::Moderate, "Increased digoxin levels"),
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("acei+arb", InteractionSeverity::Moderate, "Increased risk of hyperkalemia"),
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];
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for (known_pair, severity, desc) in known_interactions {
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if pair.contains(known_pair) || known_pair.contains(&pair) {
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return Some(DrugInteraction {
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drug1: drug1.to_string(),
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drug2: drug2.to_string(),
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severity: severity.clone(),
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description: desc.to_string(),
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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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/// Query OpenFDA for drug event reports
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async fn query_drug_events(
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&self,
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drug_name: &str,
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) -> Result<serde_json::Value, Box<dyn std::error::Error>> {
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let query = format!(
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"{}?search=patient.drug.medicinalproduct:{}&limit=10",
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self.base_url,
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drug_name
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);
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let response = self
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.client
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.get(&query)
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.send()
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.await?
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.json::<serde_json::Value>()
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.await?;
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Ok(response)
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}
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}
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impl Default for OpenFDAService {
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fn default() -> Self {
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Self::new()
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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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#[tokio::test]
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async fn test_check_warfarin_aspirin() {
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let service = OpenFDAService::new();
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let interactions = service
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.check_interactions(&["warfarin".to_string(), "aspirin".to_string()])
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.await
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.unwrap();
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assert!(!interactions.is_empty());
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assert_eq!(interactions[0].severity, InteractionSeverity::Severe);
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}
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}
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