Make the project's documentation match the code and remove the sprawl. The docs
claimed Phase 2.8 (drug interactions) was 'planning/0%' and the backend '~91%
complete' — both wrong: 2.8 is implemented and live, plus the P0/P1 security
and test work is done. Five root CI/CD docs described a 'docker-build' CI job
that was removed; ~18 backend/ status snapshots and ~24 docs/implementation
duplicates cluttered the tree.
Deletions (85 files):
- Root: 4 stale CI/CD reports (CI-CD-{COMPLETION-REPORT,IMPLEMENTATION-SUMMARY,
STATUS-REPORT,FINAL-STATUS}.md) — all describe the removed docker-build job.
- backend/: 18 phase/build/fix snapshots and code-dump .txt files.
- docs/: the 3 one-time reorg reports; ~17 docs/implementation duplicates and
process artifacts; 4 stale docs/development CI docs + git snapshots;
redundant deployment/testing files.
- thoughts/: STATUS.md (said Phase 2.4 in-progress), superseded phase notes and
duplicative research inputs. tmp/ (928KB of CI debug logs, gitignored).
Moves (18 files):
- 9 genuine decision records -> docs/adr/ (Architecture Decision Records),
date-prefixes stripped, with an index README.
- 8 historical-but-valuable phase plans/specs + the old CI-CD-FINAL-SOLUTION ->
docs/archive/ (now-populated, with a README explaining it's superseded
material). thoughts/ tree removed.
Rewrites (13 files) to match reality:
- Drop the fake '% complete' figures everywhere in favor of Implemented /
In-Progress / Planned with concrete endpoint/feature lists.
- Phase 2.8 -> Implemented; add /api/interactions/* and /api/auth/{refresh,
logout} to the endpoint lists; fix 'Rust 1.93' -> edition 2021.
- Add a Security section (token_version validation, hashed refresh-token
persistence, fail-fast config, real-IP audit) and correct the test-coverage
and deployment claims to reality.
- New canonical docs/development/CI-CD.md (4 jobs: format/clippy/build/test,
mongo service, no docker-build + why).
- README, docs/README, product/{STATUS,ROADMAP,PROGRESS,README,introduction},
implementation/README, development/README, testing/README, AI_AGENT_GUIDE,
.cursorrules, .gooserules all updated.
Verified: greps for 'Phase 2.8 (Planning)', 'PLANNING (0%)', 'Rust 1.93',
'91%/10%/85% complete', and 'docker-build' return nothing outside docs/archive;
all internal doc links resolve; backend/src untouched (cargo build clean).
5.6 KiB
5.6 KiB
MongoDB Schema Design Decision Summary
Date: 2026-02-14 Decision: Zero-Knowledge Encryption for All Sensitive Data + Metadata
Core Principle
ALL sensitive data AND metadata must be encrypted client-side before reaching MongoDB.
Example: Blood Pressure Reading
Before encryption (client-side):
{
value: "120/80",
type: "blood_pressure",
unit: "mmHg",
date: "2026-02-14T10:30:00Z"
}
After encryption (stored in MongoDB):
{
healthDataId: "health-123",
userId: "user-456",
profileId: "profile-789",
familyId: "family-012",
// Encrypted (value + metadata)
healthData: [
{
encrypted: true,
data: "a1b2c3d4...",
iv: "e5f6g7h8...",
authTag: "i9j0k1l2..."
}
],
// Metadata (plaintext)
createdAt: ISODate("2026-02-14T10:30:00Z"),
updatedAt: ISODate("2026-02-14T10:30:00Z"),
dataSource: "healthKit"
}
Collections Summary
| Collection | Purpose | Encrypted Fields | Plaintext Fields |
|---|---|---|---|
| users | Authentication | encryptedRecoveryPhrase | userId, email, passwordHash, tokenVersion, familyId, familyRole, permissions |
| families | Family structure | familyName, familyMetadata | familyId, members[].userId, members[].profileId, members[*].role |
| profiles | Person profiles | profileName, profileMetadata | profileId, userId, familyId, profileType |
| health_data | Health records | healthData[*] (value + metadata) | healthDataId, userId, profileId, familyId, createdAt, updatedAt, dataSource |
| lab_results | Lab tests | labData (value + metadata), labMetadata | labResultId, userId, profileId, familyId, createdAt, updatedAt, dataSource |
| medications | Medication tracking | medicationData (value + metadata), reminderSchedule | medicationId, userId, profileId, familyId, active, createdAt, updatedAt |
| appointments | Medical appointments | appointmentData (value + metadata), reminderSettings | appointmentId, userId, profileId, familyId, createdAt, updatedAt |
| shares | Shared data | encryptedData (share-specific password) | shareId, userId, documentId, collectionName, createdAt, expiresAt, accessCount, isRevoked |
| refresh_tokens | JWT tokens | None | jti, userId, createdAt, expiresAt, revoked |
Encryption Strategy
Client-Side Encryption
Encryption Flow:
- User enters health data
- Client derives encryption key from password (PBKDF2)
- Client encrypts health data (AES-256-GCM)
- Client sends encrypted data to server
- Server stores encrypted data in MongoDB
- Server NEVER decrypts data
What Must Be Encrypted
- ✅ Health data values (e.g., "120/80")
- ✅ Health data metadata (e.g., "blood_pressure", "mmHg")
- ✅ Lab test results (e.g., "cholesterol", "200", "LabCorp")
- ✅ Medication data (e.g., "Aspirin", "100mg", "daily")
- ✅ Appointment data (e.g., "checkup", "Dr. Smith")
- ✅ Profile data (e.g., "John Doe", "1990-01-01")
- ✅ Family data (e.g., "Smith Family", "123 Main St")
What Can Be Plaintext
- ✅ User IDs (userId, profileId, familyId) - for queries
- ✅ Email addresses - for authentication
- ✅ Dates (createdAt, updatedAt) - for sorting
- ✅ Data sources (healthKit, googleFit) - for analytics
- ✅ Tags (cardio, daily) - for client-side search
Privacy-Preserving Queries
1. Plaintext Queries (Recommended)
Query by plaintext fields only:
const healthData = await db.health_data.find({
userId: 'user-123', // Plaintext ✅
profileId: 'profile-456', // Plaintext ✅
familyId: 'family-789' // Plaintext ✅
}).toArray();
// Client decrypts healthData[i].healthData[j]
2. Tagging System (Encrypted Search)
Client adds searchable tags to encrypted data:
const healthData = await db.health_data.find({
userId: 'user-123',
tags: { $in: ['cardio', 'daily'] } // Plaintext tags ✅
}).toArray();
// Client decrypts healthData[i].healthData[j]
3. Date Range Queries (Plaintext Dates)
Store dates as plaintext (for range queries):
const healthData = await db.health_data.find({
userId: 'user-123',
date: {
$gte: ISODate("2026-02-01"),
$lte: ISODate("2026-02-28")
}
}).toArray();
// Client decrypts healthData[i].healthData[j]
Technology Stack
Backend (Axum + MongoDB)
- Axum 0.7.x: Web framework
- MongoDB 6.0+: Database
- Rust: Server language
Client (React Native + React)
- AES-256-GCM: Encryption algorithm
- PBKDF2: Key derivation function
- Crypto API: Node.js crypto / react-native-quick-crypto
Implementation Timeline
- Week 1: Create MongoDB indexes
- Week 1-2: Implement client-side encryption (React Native + React)
- Week 2-3: Implement server-side API (Axum + MongoDB)
- Week 3: Test encryption flow
- Week 3-4: Test data migration (key rotation)
- Week 4: Test privacy-preserving queries
- Week 4-5: Performance testing Total: 4-5 weeks
Next Steps
- Create MongoDB indexes for all collections
- Implement client-side encryption (React Native + React)
- Implement server-side API (Axum + MongoDB)
- Test encryption flow (end-to-end)
- Test data migration (key rotation)
- Test privacy-preserving queries
- Performance testing
- Create API documentation