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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goose
parent
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147 changed files with 33585 additions and 2866 deletions
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@ -1,246 +1,60 @@
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use mongodb::Collection;
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use serde::{Deserialize, Serialize};
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use mongodb::{bson::{oid::ObjectId, doc}, Collection, DateTime};
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use mongodb::{bson::{oid::ObjectId, doc}, error::Error as MongoError};
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use futures::stream::TryStreamExt;
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct HealthStatistic {
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#[serde(rename = "_id", skip_serializing_if = "Option::is_none")]
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pub id: Option<ObjectId>,
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#[serde(rename = "healthStatId")]
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pub health_stat_id: String,
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#[serde(rename = "userId")]
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pub user_id: String,
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#[serde(rename = "profileId")]
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pub profile_id: String,
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#[serde(rename = "statType")]
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pub stat_type: HealthStatType,
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#[serde(rename = "value")]
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pub value: HealthStatValue,
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#[serde(rename = "unit")]
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pub unit: String,
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#[serde(rename = "recordedAt")]
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pub recorded_at: DateTime,
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#[serde(rename = "notes")]
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pub notes: Option<String>,
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#[serde(rename = "tags")]
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pub tags: Vec<String>,
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#[serde(rename = "createdAt")]
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pub created_at: DateTime,
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#[serde(rename = "updatedAt")]
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pub updated_at: DateTime,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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#[serde(rename_all = "SCREAMING_SNAKE_CASE")]
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pub enum HealthStatType {
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Weight,
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Height,
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BloodPressure,
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HeartRate,
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Temperature,
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BloodGlucose,
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OxygenSaturation,
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SleepHours,
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Steps,
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Calories,
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Custom(String),
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}
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impl HealthStatType {
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pub fn as_str(&self) -> &str {
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match self {
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HealthStatType::Weight => "weight",
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HealthStatType::Height => "height",
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HealthStatType::BloodPressure => "blood_pressure",
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HealthStatType::HeartRate => "heart_rate",
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HealthStatType::Temperature => "temperature",
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HealthStatType::BloodGlucose => "blood_glucose",
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HealthStatType::OxygenSaturation => "oxygen_saturation",
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HealthStatType::SleepHours => "sleep_hours",
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HealthStatType::Steps => "steps",
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HealthStatType::Calories => "calories",
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HealthStatType::Custom(name) => name,
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}
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}
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pub fn default_unit(&self) -> &str {
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match self {
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HealthStatType::Weight => "kg",
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HealthStatType::Height => "cm",
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HealthStatType::BloodPressure => "mmHg",
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HealthStatType::HeartRate => "bpm",
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HealthStatType::Temperature => "°C",
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HealthStatType::BloodGlucose => "mg/dL",
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HealthStatType::OxygenSaturation => "%",
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HealthStatType::SleepHours => "hours",
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HealthStatType::Steps => "steps",
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HealthStatType::Calories => "kcal",
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HealthStatType::Custom(_) => "",
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}
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}
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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#[serde(untagged)]
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pub enum HealthStatValue {
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Single(f64),
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BloodPressure { systolic: f64, diastolic: f64 },
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String(String),
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct CreateHealthStatRequest {
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pub profile_id: String,
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#[serde(rename = "statType")]
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#[serde(rename = "type")]
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pub stat_type: String,
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pub value: serde_json::Value,
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pub unit: Option<String>,
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#[serde(rename = "recordedAt")]
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pub recorded_at: Option<DateTime>,
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pub value: f64,
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pub unit: String,
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pub notes: Option<String>,
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pub tags: Option<Vec<String>>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct UpdateHealthStatRequest {
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pub value: Option<serde_json::Value>,
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pub unit: Option<String>,
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#[serde(rename = "recordedAt")]
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pub recorded_at: Option<DateTime>,
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pub notes: Option<String>,
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pub tags: Option<Vec<String>>,
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pub recorded_at: String,
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}
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#[derive(Clone)]
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pub struct HealthStatisticsRepository {
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pub collection: Collection<HealthStatistic>,
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collection: Collection<HealthStatistic>,
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}
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impl HealthStatisticsRepository {
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pub fn new(collection: Collection<HealthStatistic>) -> Self {
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Self { collection }
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}
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pub async fn create(&self, stat: HealthStatistic) -> Result<HealthStatistic, Box<dyn std::error::Error>> {
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self.collection.insert_one(stat.clone(), None).await?;
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Ok(stat)
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}
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pub async fn list_by_user(
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&self,
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user_id: &str,
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stat_type: Option<&str>,
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profile_id: Option<&str>,
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limit: i64,
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) -> Result<Vec<HealthStatistic>, Box<dyn std::error::Error>> {
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let mut filter = doc! {
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"userId": user_id
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};
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if let Some(stat_type) = stat_type {
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filter.insert("statType", stat_type);
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}
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if let Some(profile_id) = profile_id {
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filter.insert("profileId", profile_id);
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}
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let find_options = mongodb::options::FindOptions::builder()
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.sort(doc! { "recordedAt": -1 })
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.limit(limit)
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.build();
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let cursor = self.collection.find(filter, find_options).await?;
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let results: Vec<_> = cursor.try_collect().await?;
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Ok(results)
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}
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pub async fn get_by_id(&self, id: &ObjectId, user_id: &str) -> Result<Option<HealthStatistic>, Box<dyn std::error::Error>> {
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let filter = doc! {
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"_id": id,
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"userId": user_id
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};
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let result = self.collection.find_one(filter, None).await?;
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Ok(result)
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}
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pub async fn update(
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&self,
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id: &ObjectId,
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user_id: &str,
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update: UpdateHealthStatRequest,
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) -> Result<Option<HealthStatistic>, Box<dyn std::error::Error>> {
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let filter = doc! {
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"_id": id,
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"userId": user_id
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};
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let mut update_doc = doc! {};
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if let Some(value) = update.value {
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update_doc.insert("value", mongodb::bson::to_bson(&value)?);
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}
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if let Some(unit) = update.unit {
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update_doc.insert("unit", unit);
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}
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if let Some(recorded_at) = update.recorded_at {
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update_doc.insert("recordedAt", recorded_at);
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}
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if let Some(notes) = update.notes {
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update_doc.insert("notes", notes);
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}
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if let Some(tags) = update.tags {
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update_doc.insert("tags", tags);
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}
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update_doc.insert("updatedAt", DateTime::now());
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let update = doc! {
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"$set": update_doc
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};
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let result = self.collection.update_one(filter, update, None).await?;
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if result.modified_count > 0 {
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self.get_by_id(id, user_id).await
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} else {
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Ok(None)
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pub fn new(db: &mongodb::Database) -> Self {
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Self {
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collection: db.collection("health_statistics"),
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}
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}
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pub async fn delete(&self, id: &ObjectId, user_id: &str) -> Result<bool, Box<dyn std::error::Error>> {
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let filter = doc! {
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"_id": id,
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"userId": user_id
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};
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pub async fn create(&self, stat: &HealthStatistic) -> Result<HealthStatistic, MongoError> {
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let result = self.collection.insert_one(stat, None).await?;
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let mut created = stat.clone();
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created.id = Some(result.inserted_id.as_object_id().unwrap());
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Ok(created)
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}
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pub async fn find_by_user(&self, user_id: &str) -> Result<Vec<HealthStatistic>, MongoError> {
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let filter = doc! { "user_id": user_id };
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let cursor = self.collection.find(filter, None).await?;
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cursor.try_collect().await.map_err(|e| e.into())
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}
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pub async fn find_by_id(&self, id: &ObjectId) -> Result<Option<HealthStatistic>, MongoError> {
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let filter = doc! { "_id": id };
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self.collection.find_one(filter, None).await
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}
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pub async fn update(&self, id: &ObjectId, stat: &HealthStatistic) -> Result<Option<HealthStatistic>, MongoError> {
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let filter = doc! { "_id": id };
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self.collection.replace_one(filter, stat, None).await?;
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Ok(Some(stat.clone()))
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}
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pub async fn delete(&self, id: &ObjectId) -> Result<bool, MongoError> {
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let filter = doc! { "_id": id };
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let result = self.collection.delete_one(filter, None).await?;
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Ok(result.deleted_count > 0)
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}
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pub async fn get_trends(
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&self,
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user_id: &str,
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profile_id: &str,
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stat_type: &str,
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days: i64,
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) -> Result<Vec<HealthStatistic>, Box<dyn std::error::Error>> {
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// Use chrono duration instead of DateTime arithmetic
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let now = chrono::Utc::now();
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let days_ago = now - chrono::Duration::days(days);
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let days_ago_bson = DateTime::from_chrono(days_ago);
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let filter = doc! {
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"userId": user_id,
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"profileId": profile_id,
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"statType": stat_type,
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"recordedAt": { "$gte": days_ago_bson }
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};
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let find_options = mongodb::options::FindOptions::builder()
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.sort(doc! { "recordedAt": 1 })
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.build();
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let cursor = self.collection.find(filter, find_options).await?;
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let results: Vec<_> = cursor.try_collect().await?;
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Ok(results)
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}
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}
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