skinmodel / API_SPECIFICATION.md
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Skin Disease Detection API β€” Full Specification

Base URL: https://alihamzach-skinmodel.hf.space
API Prefix: /v1
Model: EfficientNetB0 (224Γ—224, 22 disease classes)
Auth: JWT (access + refresh tokens)
Rate Limiting: IP-based + user-based tiered quotas
Database: PostgreSQL (Neon) via SQLAlchemy async + asyncpg


Table of Contents

  1. Authentication & User Management
  2. Image Scanning & Detection
  3. Recommendations & Personalization
  4. Monetization & Subscriptions
  5. Database Schema
  6. Rate Limiting Logic
  7. Error Handling
  8. Middleware & Configuration

1. Authentication & User Management

1.1 Signup

Creates a new user account with email + password.

POST /auth/signup

Request Body:

{
  "email": "user@example.com",
  "password": "Str0ng!Pass123",
  "full_name": "Jane Doe",
  "medical_history": {
    "allergies": ["penicillin", "sulfa"],
    "chronic_conditions": ["eczema"],
    "current_medications": ["cetirizine"]
  }
}

Validation Rules:

  • email: valid email format, max 255 chars, unique in system
  • password: min 8 chars, at least 1 uppercase, 1 lowercase, 1 digit, 1 special char
  • full_name: 1–100 chars, letters/spaces/hyphens only
  • medical_history: optional JSON object

Response 201 Created:

{
  "id": "uuid",
  "email": "user@example.com",
  "full_name": "Jane Doe",
  "is_verified": false,
  "created_at": "2026-05-17T10:30:00Z"
}

Error 409 Conflict:

{
  "detail": "An account with this email already exists."
}

Error 422 Unprocessable Entity:

{
  "detail": [
    { "loc": ["body", "password"], "msg": "Password must contain at least one uppercase letter" }
  ]
}

1.2 Login

Authenticates user and returns JWT tokens.

POST /auth/login

Request Body:

{
  "email": "user@example.com",
  "password": "Str0ng!Pass123"
}

Response 200 OK:

{
  "access_token": "eyJhbGciOiJIUzI1NiIs...",
  "refresh_token": "eyJhbGciOiJIUzI1NiIs...",
  "token_type": "bearer",
  "expires_in": 3600,
  "user": {
    "id": "uuid",
    "email": "user@example.com",
    "full_name": "Jane Doe",
    "subscription_plan": "free",
    "scans_remaining_today": 5
  }
}

Error 401 Unauthorized:

{
  "detail": "Invalid email or password."
}

Token Specs:

Token Lifetime Payload
Access 1 hour sub (user_id), exp, iat, type: "access"
Refresh 30 days sub (user_id), exp, iat, type: "refresh"

1.3 Social Login (OAuth 2.0)

Initiates or completes social login via Google or Facebook.

POST /auth/social/{provider}

Path Parameters:

  • provider: "google" | "facebook"

Request Body:

{
  "access_token": "ya29.a0AfH6SMC..."
}

Server-Side Flow:

  1. Receive OAuth access token from client
  2. Verify token with Google/Facebook tokeninfo endpoint
  3. Extract email, name, profile photo from provider
  4. If email exists β†’ link social account + login
  5. If email new β†’ create user with auth_provider = provider + social_id = provider user ID

Response 200 OK (same shape as login response)

Error 401 Unauthorized:

{
  "detail": "Invalid or expired social token."
}

1.4 Forgot Password

Initiates password reset email flow.

POST /auth/forgot-password

Request Body:

{
  "email": "user@example.com"
}

Flow:

  1. Validate email exists (silent fail if not β€” security best practice)
  2. Generate cryptographically secure 6-digit code (or UUIDv4 token)
  3. Store hashed token in password_reset_tokens table with 15-min expiry
  4. Send email with reset link/code

Response 200 OK (always):

{
  "message": "If an account with that email exists, a password reset link has been sent."
}

1.5 Reset Password

Completes password reset using token from email.

POST /auth/reset-password

Request Body:

{
  "token": "a1b2c3d4-e5f6-...",
  "new_password": "NewStr0ng!Pass456"
}

Validation:

  • Token must exist in DB, not expired, not used
  • Token is marked is_used = true after successful reset (one-time use)
  • Password follows same rules as signup

Response 200 OK:

{
  "message": "Password has been reset successfully."
}

Error 400 Bad Request:

{
  "detail": "Invalid or expired reset token."
}

1.6 Change Password (Authenticated)

PUT /auth/change-password

Headers: Authorization: Bearer <access_token>

Request Body:

{
  "current_password": "OldPass123!",
  "new_password": "NewStr0ng!Pass456"
}

Response 200 OK:

{
  "message": "Password changed successfully."
}

Error 401 Unauthorized:

{
  "detail": "Current password is incorrect."
}

1.7 Refresh Token

POST /auth/refresh

Request Body:

{
  "refresh_token": "eyJhbGciOiJIUzI1NiIs..."
}

Response 200 OK:

{
  "access_token": "eyJhbGciOiJIUzI1NiIs...",
  "expires_in": 3600
}

1.8 Update Profile (Authenticated)

PUT /auth/profile

Headers: Authorization: Bearer <access_token>

Request Body:

{
  "full_name": "Jane Smith",
  "profile_photo": "data:image/png;base64,iVBOR...",
  "medical_history": {
    "allergies": ["penicillin"],
    "chronic_conditions": ["eczema", "psoriasis"],
    "current_medications": ["diphenhydramine"],
    "skin_type": "oily",
    "known_sensitivities": ["fragrance", "parabens"]
  }
}

Response 200 OK:

{
  "id": "uuid",
  "email": "user@example.com",
  "full_name": "Jane Smith",
  "profile_photo_url": "https://cdn.skindetect.com/users/uuid/photo.jpg",
  "medical_history": { ... },
  "updated_at": "2026-05-17T11:00:00Z"
}

2. Image Scanning & Detection

2.1 Scan Image

Upload a skin image for AI-based disease detection.

POST /scans

Unauthenticated users: IP-based rate limit of 3 total scans per IP.
Authenticated users: Daily limit based on subscription plan (default: 5/day for free tier).

Headers: Authorization: Bearer <access_token> (optional for unauthenticated)

Request Body (multipart/form-data):

Field Type Required Description
image file yes JPEG or PNG, max 10MB, min 224Γ—224px
location string no Lat,lng for geo-recommendations (e.g. "40.7128,-74.0060")

Processing Pipeline:

  1. Validate file type and size
  2. Check rate limits (IP for unauth, user quota for auth)
  3. Upload image to CDN (S3/GCS) with UUID filename
  4. Preprocess: resize to 224Γ—224, normalize to [0,1]
  5. Run model inference β†’ softmax probabilities over 22 classes
  6. Apply confidence threshold (default: 15%) to filter low-confidence results
  7. Log scan record in database
  8. Increment quota counters
  9. Return results

Response 200 OK:

{
  "items": [
    {
      "scan_id": "uuid",
      "title": "skin_photo.jpg",
      "image_url": "https://cdn.skindetect.com/scans/uuid/thumb.jpg",
      "primary_detection": {
        "disease": "Eczema",
        "confidence": 87.32,
        "urgency_level": "consult_recommended"
      },
      "all_results": [
        { "disease": "Eczema", "confidence": 87.32, "severity": "moderate" },
        { "disease": "Psoriasis", "confidence": 8.15 },
        { "disease": "Acne", "confidence": 2.41 }
      ],
      "created_at": "2026-05-17T10:30:00Z"
    }
  ],
  "total": 42,
  "page": 1,
  "page_size": 20,
  "total_pages": 3
}

Error 401 Unauthorized:

{
  "detail": "Authentication required to view scan history."
}

2.3 Get Single Scan Detail (Authenticated)

GET /scans/{scan_id}

Headers: Authorization: Bearer <access_token>

Response 200 OK: Full scan result (same shape as scan response)

Error 404 Not Found:

{
  "detail": "Scan not found."
}

2.4 Rename Scan (Authenticated)

Updates the title of an existing scan.

PATCH /v1/scans/{scan_id}

Headers: Authorization: Bearer <access_token>

Request Body:

{
  "title": "My updated scan name"
}

Response 200 OK:

{
  "scan_id": "uuid",
  "title": "My updated scan name"
}

Error 404 Not Found:

{
  "detail": "Scan not found."
}

2.5 Delete Scan (Authenticated)

Permanently deletes a scan record.

DELETE /v1/scans/{scan_id}

Headers: Authorization: Bearer <access_token>

Response 204 No Content (no body)

Error 404 Not Found:

{
  "detail": "Scan not found."
}

3. Recommendations & Personalization

3.1 Dermatologist Recommendations

Returns a list of dermatologists ranked by proximity to the user's IP location.

GET /recommendations/dermatologists

Headers: Authorization: Bearer <access_token> (optional β€” wider results if authenticated)

Query Parameters:

Parameter Type Required Default Description
lat float no IP geo-lookup Latitude
lng float no IP geo-lookup Longitude
radius_km int no 50 Search radius
specialization string no β€” Filter by specialty (e.g. "pediatric_dermatology")
page int no 1 β€”
page_size int no 20 β€”

Response 200 OK:

{
  "items": [
    {
      "id": "uuid",
      "name": "Dr. Sarah Johnson",
      "specialization": ["general_dermatology", "pediatric_dermatology"],
      "address": "123 Medical Plaza, Suite 200, New York, NY 10001",
      "phone": "+1-212-555-0198",
      "email": "dr.johnson@dermclinic.com",
      "website": "https://dermclinic.com/dr-johnson",
      "rating": 4.8,
      "review_count": 124,
      "distance_km": 2.3,
      "coordinates": { "lat": 40.7580, "lng": -73.9855 },
      "available_slots": ["2026-05-18T09:00", "2026-05-18T10:30"],
      "insurance_accepted": ["Aetna", "Cigna", "UnitedHealthcare"]
    }
  ],
  "user_location": { "lat": 40.7484, "lng": -73.9967, "source": "ip" },
  "total": 12,
  "page": 1,
  "page_size": 20
}

Location Resolution Priority:

  1. Explicit lat/lng query params (highest priority)
  2. User's saved location from profile (if authenticated)
  3. IP geolocation lookup (MaxMind GeoIP or similar)

3.2 Skin Care Product Recommendations

Returns product/medicine recommendations. May include affiliate links.

GET /recommendations/products

Headers: Authorization: Bearer <access_token> (optional)

Query Parameters:

Parameter Type Required Default Description
condition string no β€” Target condition (e.g. "Eczema")
product_type string no β€” medicine | moisturizer | cleanser | sunscreen | treatment
lat float no IP geo For pharmacy availability
lng float no IP geo β€”
page int no 1 β€”
page_size int no 20 β€”

Response 200 OK:

{
  "items": [
    {
      "id": "uuid",
      "name": "Cetaphil Moisturizing Cream",
      "brand": "Cetaphil",
      "category": "moisturizer",
      "type": "over_the_counter",
      "description": "Non-greasy, fragrance-free moisturizer for sensitive skin.",
      "key_ingredients": ["glycerin", "petrolatum", "dimethicone"],
      "recommended_for": ["Eczema", "Psoriasis", "dry_skin"],
      "average_rating": 4.6,
      "price": {
        "amount": 14.99,
        "currency": "USD",
        "retailer": "Walmart"
      },
      "affiliate_link": "https://www.amazon.com/dp/B001B4...?tag=skindetect-20",
      "image_url": "https://cdn.skindetect.com/products/uuid/image.jpg",
      "medical_rating": 4.5,
      "side_effects": ["rare: mild irritation"],
      "prescription_required": false
    }
  ],
  "total": 8,
  "page": 1,
  "page_size": 20
}

Affiliate Link Strategy:

  • Append tracking tag ?tag=skindetect-{source}-{user_id_hash} to all product links
  • Link to Amazon Pharmacy, Walmart, CVS, Walgreens affiliate programs
  • Track clicks via redirect service (/r/{product_id}) for analytics

3.3 Clinic Recommendations

Returns nearby skin clinics/hospitals.

GET /recommendations/clinics

Headers: Authorization: Bearer <access_token> (optional)

Query Parameters: (same location params as dermatologists)

Response 200 OK:

{
  "items": [
    {
      "id": "uuid",
      "name": "Manhattan Dermatology Center",
      "type": "clinic",
      "address": "500 Fifth Avenue, Floor 15, New York, NY 10110",
      "phone": "+1-212-555-0246",
      "distance_km": 0.8,
      "rating": 4.5,
      "review_count": 89,
      "services": ["general_dermatology", "mohs_surgery", "cosmetic"],
      "open_hours": {
        "monday": "08:00-18:00",
        "tuesday": "08:00-18:00",
        "wednesday": "08:00-20:00",
        "thursday": "08:00-18:00",
        "friday": "08:00-16:00",
        "saturday": "09:00-13:00",
        "sunday": "closed"
      },
      "accepts_insurance": true,
      "walkins_accepted": false,
      "coordinates": { "lat": 40.7527, "lng": -73.9822 }
    }
  ],
  "total": 5,
  "page": 1,
  "page_size": 20
}

4. Monetization & Subscriptions

4.1 List Subscription Plans

GET /subscriptions/plans

Response 200 OK:

{
  "plans": [
    {
      "id": "plan_free",
      "name": "Free",
      "price_cents": 0,
      "currency": "USD",
      "billing_interval": "month",
      "features": {
        "daily_scans": 5,
        "scan_history_days": 30,
        "detailed_results": true,
        "product_recommendations": true,
        "dermatologist_referrals": false,
        "priority_support": false,
        "data_export": false
      }
    },
    {
      "id": "plan_basic",
      "name": "Basic",
      "price_cents": 499,
      "currency": "USD",
      "billing_interval": "month",
      "features": {
        "daily_scans": 20,
        "scan_history_days": 365,
        "detailed_results": true,
        "product_recommendations": true,
        "dermatologist_referrals": true,
        "priority_support": false,
        "data_export": false
      },
      "stripe_price_id": "price_1ABC2Def3Ghi4Jkl"
    },
    {
      "id": "plan_premium",
      "name": "Premium",
      "price_cents": 999,
      "currency": "USD",
      "billing_interval": "month",
      "features": {
        "daily_scans": 100,
        "scan_history_days": null,
        "detailed_results": true,
        "product_recommendations": true,
        "dermatologist_referrals": true,
        "priority_support": true,
        "data_export": true
      },
      "stripe_price_id": "price_5Mno6Pqr7Stu8Vwx"
    }
  ]
}

4.2 Create Checkout Session

Initiates Stripe Checkout Session for subscription purchase.

POST /subscriptions/create-checkout-session

Headers: Authorization: Bearer <access_token>

Request Body:

{
  "plan_id": "plan_basic",
  "success_url": "https://skindetect.com/subscriptions/success?session_id={CHECKOUT_SESSION_ID}",
  "cancel_url": "https://skindetect.com/subscriptions/cancel"
}

Response 200 OK:

{
  "checkout_url": "https://checkout.stripe.com/c/pay/cs_test_..."
}

Error 400 Bad Request:

{
  "detail": "Invalid plan ID."
}

4.3 Stripe Webhook

Receives Stripe webhook events for subscription lifecycle management.

POST /subscriptions/webhook

Headers: Stripe-Signature: <webhook_signature>

No auth (verified via Stripe signature).

Events Handled:

Event Action
checkout.session.completed Activate subscription, set end_date
invoice.paid Renew subscription period
invoice.payment_failed Send payment failure email, mark subscription past_due
customer.subscription.updated Sync plan changes
customer.subscription.deleted Cancel subscription, revert to free plan

Response 200 OK:

{
  "received": true
}

4.4 Get My Subscription

Returns the authenticated user's current subscription details.

GET /subscriptions/my

Headers: Authorization: Bearer <access_token>

Response 200 OK:

{
  "user_id": "uuid",
  "plan": {
    "id": "plan_basic",
    "name": "Basic",
    "daily_scans": 20,
    "features": { ... }
  },
  "status": "active",
  "current_period_start": "2026-05-01T00:00:00Z",
  "current_period_end": "2026-06-01T00:00:00Z",
  "cancel_at_period_end": false,
  "scans_used_today": 3,
  "scans_remaining_today": 17,
  "stripe_subscription_id": "sub_1ABC2Def3Ghi4Jkl"
}

4.5 Cancel Subscription

POST /subscriptions/cancel

Headers: Authorization: Bearer <access_token>

Response 200 OK:

{
  "message": "Subscription will be cancelled at the end of the current billing period.",
  "cancel_at_period_end": true,
  "current_period_end": "2026-06-01T00:00:00Z"
}

5. Database Schema

5.1 Entity-Relationship Diagram (Textual)

users ──1:1── user_subscriptions ──N:1── subscription_plans
users ──1:N── scan_records
users ──1:N── scan_daily_usage
users ──1:N── password_reset_tokens
users ──1:N── payment_transactions

scan_records ──N:1── users (nullable)

ip_scan_tracking (standalone, keyed by IP)

5.2 Table Definitions

-- ============================================================
-- USERS
-- ============================================================
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

CREATE TABLE users (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    email           VARCHAR(255) UNIQUE NOT NULL,
    password_hash   VARCHAR(255),
    full_name       VARCHAR(100) NOT NULL,
    profile_photo_url TEXT,
    medical_history  JSONB DEFAULT '{}',
    auth_provider   VARCHAR(20) DEFAULT 'email'
                    CHECK (auth_provider IN ('email', 'google', 'facebook')),
    social_id       VARCHAR(255),
    is_verified     BOOLEAN DEFAULT false,
    is_active       BOOLEAN DEFAULT true,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
    updated_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_users_social ON users(auth_provider, social_id);

-- ============================================================
-- SUBSCRIPTION PLANS (seed data)
-- ============================================================
CREATE TABLE subscription_plans (
    id              VARCHAR(50) PRIMARY KEY,  -- 'plan_free', 'plan_basic', 'plan_premium'
    name            VARCHAR(100) NOT NULL,
    price_cents     INTEGER NOT NULL,
    currency        VARCHAR(3) DEFAULT 'USD',
    billing_interval VARCHAR(20) DEFAULT 'month',
    daily_scan_limit INTEGER NOT NULL,
    features        JSONB NOT NULL DEFAULT '{}',
    stripe_price_id VARCHAR(255),
    is_active       BOOLEAN DEFAULT true,
    sort_order      INTEGER DEFAULT 0
);

-- Seed data
INSERT INTO subscription_plans (id, name, price_cents, daily_scan_limit, features, sort_order) VALUES
('plan_free',    'Free',    0,   5,  '{"scan_history_days": 30, "detailed_results": true, "product_recommendations": true, "dermatologist_referrals": false, "priority_support": false, "data_export": false}', 1),
('plan_basic',   'Basic',   499, 20, '{"scan_history_days": 365, "detailed_results": true, "product_recommendations": true, "dermatologist_referrals": true, "priority_support": false, "data_export": false}', 2),
('plan_premium', 'Premium', 999, 100,'{"scan_history_days": null, "detailed_results": true, "product_recommendations": true, "dermatologist_referrals": true, "priority_support": true, "data_export": true}', 3);

-- ============================================================
-- USER SUBSCRIPTIONS
-- ============================================================
CREATE TABLE user_subscriptions (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    user_id         UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
    plan_id         VARCHAR(50) NOT NULL REFERENCES subscription_plans(id),
    status          VARCHAR(20) NOT NULL DEFAULT 'active'
                    CHECK (status IN ('active', 'past_due', 'canceled', 'expired')),
    current_period_start TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
    current_period_end   TIMESTAMP WITH TIME ZONE,
    cancel_at_period_end BOOLEAN DEFAULT false,
    stripe_subscription_id VARCHAR(255),
    stripe_customer_id    VARCHAR(255),
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
    updated_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
    UNIQUE(user_id)  -- one active subscription per user
);

CREATE INDEX idx_user_sub_status ON user_subscriptions(user_id, status);

-- ============================================================
-- SCAN RECORDS
-- ============================================================
CREATE TABLE scan_records (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    user_id         UUID REFERENCES users(id) ON DELETE SET NULL,
    ip_address      VARCHAR(45) NOT NULL,
    image_url       TEXT NOT NULL,
    thumbnail_url   TEXT,
    original_filename VARCHAR(255),
    image_size_bytes INTEGER,
    processing_time_ms INTEGER,
    results         JSONB NOT NULL,
    primary_detection JSONB,
    detected_conditions TEXT[],
    model_version   VARCHAR(50),
    is_flagged      BOOLEAN DEFAULT false,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_scan_user ON scan_records(user_id, created_at DESC);
CREATE INDEX idx_scan_ip   ON scan_records(ip_address, created_at DESC);
CREATE INDEX idx_scan_conditions ON scan_records USING GIN(detected_conditions);

-- ============================================================
-- SCAN DAILY USAGE (per-user quota tracking)
-- ============================================================
CREATE TABLE scan_daily_usage (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    user_id         UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
    scan_date       DATE NOT NULL DEFAULT CURRENT_DATE,
    scan_count      INTEGER NOT NULL DEFAULT 0,
    PRIMARY KEY (user_id, scan_date)
);

-- ============================================================
-- IP SCAN TRACKING (anonymous rate limiting)
-- ============================================================
CREATE TABLE ip_scan_tracking (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    ip_address      VARCHAR(45) UNIQUE NOT NULL,
    scan_count      INTEGER NOT NULL DEFAULT 0,
    first_scan_at   TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
    last_scan_at    TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

-- ============================================================
-- PASSWORD RESET TOKENS
-- ============================================================
CREATE TABLE password_reset_tokens (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    user_id         UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
    token_hash      VARCHAR(255) NOT NULL,
    expires_at      TIMESTAMP WITH TIME ZONE NOT NULL,
    is_used         BOOLEAN DEFAULT false,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_reset_token ON password_reset_tokens(user_id, is_used);

-- ============================================================
-- PAYMENT TRANSACTIONS
-- ============================================================
CREATE TABLE payment_transactions (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    user_id         UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE,
    amount_cents    INTEGER NOT NULL,
    currency        VARCHAR(3) DEFAULT 'USD',
    payment_provider VARCHAR(50) DEFAULT 'stripe',
    payment_provider_id VARCHAR(255),
    subscription_id UUID REFERENCES user_subscriptions(id),
    status          VARCHAR(20) NOT NULL
                    CHECK (status IN ('pending', 'completed', 'failed', 'refunded')),
    metadata        JSONB DEFAULT '{}',
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_payment_user ON payment_transactions(user_id, created_at DESC);

-- ============================================================
-- DOCTORS / CLINICS / PRODUCTS (for recommendations)
-- ============================================================
CREATE TABLE doctors (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    name            VARCHAR(200) NOT NULL,
    specializations TEXT[],
    address         TEXT,
    phone           VARCHAR(50),
    email           VARCHAR(255),
    website         TEXT,
    rating          DECIMAL(2,1) DEFAULT 0.0,
    review_count    INTEGER DEFAULT 0,
    coordinates     POINT,
    insurance_accepted TEXT[],
    is_active       BOOLEAN DEFAULT true,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_doctor_location ON doctors USING GIST(coordinates);

CREATE TABLE clinics (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    name            VARCHAR(200) NOT NULL,
    type            VARCHAR(50) DEFAULT 'clinic',
    address         TEXT,
    phone           VARCHAR(50),
    rating          DECIMAL(2,1) DEFAULT 0.0,
    review_count    INTEGER DEFAULT 0,
    services        TEXT[],
    open_hours      JSONB,
    accepts_insurance BOOLEAN,
    walkins_accepted BOOLEAN,
    coordinates     POINT,
    is_active       BOOLEAN DEFAULT true,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_clinic_location ON clinics USING GIST(coordinates);

CREATE TABLE products (
    id              UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
    name            VARCHAR(200) NOT NULL,
    brand           VARCHAR(100),
    category        VARCHAR(50),
    type            VARCHAR(50) CHECK (type IN ('over_the_counter', 'prescription')),
    description     TEXT,
    key_ingredients TEXT[],
    recommended_for TEXT[],
    average_rating  DECIMAL(2,1),
    price_amount    DECIMAL(10,2),
    price_currency  VARCHAR(3) DEFAULT 'USD',
    retailer        VARCHAR(100),
    affiliate_link  TEXT,
    image_url       TEXT,
    prescription_required BOOLEAN DEFAULT false,
    is_active       BOOLEAN DEFAULT true,
    created_at      TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);

CREATE INDEX idx_product_condition ON products USING GIN(recommended_for);

6. Rate Limiting Logic

6.1 Architecture Overview

                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚   Client Request β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                             β”‚
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚  Rate Limit     β”‚
                    β”‚  Middleware      β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                             β”‚
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚                             β”‚
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚ Has valid JWT?     β”‚       β”‚ No JWT / Invalid    β”‚
    β”‚ => User-based      β”‚       β”‚ => IP-based         β”‚
    β”‚    rate limiting   β”‚       β”‚    rate limiting     β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
              β”‚                             β”‚
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚ Check scan_daily   β”‚       β”‚ Check ip_scan_track β”‚
    β”‚ _usage table      β”‚       β”‚ _ing table          β”‚
    β”‚ WHERE user_id=X   β”‚       β”‚ WHERE ip=X          β”‚
    β”‚   AND date=TODAY  β”‚       β”‚                     β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
              β”‚                             β”‚
              β”‚      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
              β”‚      β”‚
          β”Œβ”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”
          β”‚  Under limit? │───No──→ 429 Too Many Requests
          β””β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”˜
              β”‚Yes   β”‚Yes
              β”‚      β”‚
    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ” β”Œβ”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”
    β”‚ Incrementβ”‚ β”‚ Proceed   β”‚
    β”‚ counter  β”‚ β”‚ to scan   β”‚
    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

6.2 Rate Limit Rules

Scope Limit Window Storage Reset
Anonymous (per IP) 3 scans total Lifetime (per IP) ip_scan_tracking table Never (manual reset)
Free tier (per user) 5 scans Daily (UTC) scan_daily_usage table Midnight UTC
Basic plan (per user) 20 scans Daily (UTC) scan_daily_usage table Midnight UTC
Premium plan (per user) 100 scans Daily (UTC) scan_daily_usage table Midnight UTC

6.3 Quota Check Algorithm (Pseudocode)

async def check_scan_quota(request: Request, user: User | None) -> QuotaResult:
    if user:
        # ── Authenticated user ──────────────────────────────
        plan = await get_user_plan(user.id)  # default: free plan
        daily_limit = plan.daily_scan_limit

        today = date.today()
        usage = await ScanDailyUsage.objects.get_or_create(
            user_id=user.id, scan_date=today,
            defaults={"scan_count": 0}
        )

        if usage.scan_count >= daily_limit:
            raise HTTPException(
                status_code=429,
                detail={
                    "message": "Daily scan limit reached.",
                    "limit": daily_limit,
                    "plan": plan.name,
                    "reset_at": f"{today + timedelta(days=1)}T00:00:00Z",
                    "upgrade_url": "/subscriptions/plans"
                }
            )

        usage.scan_count += 1
        await usage.save()
        return QuotaResult(remaining=daily_limit - usage.scan_count)

    else:
        # ── Anonymous user ───────────────────────────────────
        ip = get_client_ip(request)
        ANON_LIMIT = 3

        tracking = await ip_scan_tracking.objects.get_or_create(
            ip_address=ip,
            defaults={"scan_count": 0, "first_scan_at": now()}
        )

        if tracking.scan_count >= ANON_LIMIT:
            raise HTTPException(
                status_code=429,
                detail={
                    "message": "Anonymous scan limit reached (3 scans). Sign up to continue.",
                    "limit": ANON_LIMIT,
                    "reset_at": None  # never resets for anonymous
                }
            )

        tracking.scan_count += 1
        tracking.last_scan_at = now()
        await tracking.save()
        return QuotaResult(remaining=ANON_LIMIT - tracking.scan_count)

6.4 IP Address Detection

def get_client_ip(request: Request) -> str:
    # Priority: X-Forwarded-For > X-Real-IP > direct remote
    forwarded = request.headers.get("X-Forwarded-For")
    if forwarded:
        return forwarded.split(",")[0].strip()
    real_ip = request.headers.get("X-Real-IP")
    if real_ip:
        return real_ip
    return request.client.host

6.5 IP Geolocation (for Recommendations)

# Use MaxMind GeoLite2 database
from geoip2.database import Reader

geo_reader = Reader("data/GeoLite2-City.mmdb")

async def get_location_from_ip(ip: str) -> GeoLocation:
    if ip in ("127.0.0.1", "::1", "localhost"):
        return GeoLocation(lat=40.7128, lng=-74.0060)  # default fallback

    response = geo_reader.city(ip)
    return GeoLocation(
        lat=response.location.latitude,
        lng=response.location.longitude,
        city=response.city.name,
        country=response.country.name
    )

7. Error Handling

7.1 Global Error Schema

All error responses follow this structure:

{
  "detail": "Human-readable error message.",
  "code": "ERROR_CODE",
  "timestamp": "2026-05-17T10:30:00Z",
  "path": "/v1/scans",
  "extra": {}
}

7.2 Standard Error Codes

HTTP Code Code String When
400 VALIDATION_ERROR Invalid input (Pydantic validation)
400 INVALID_IMAGE Bad image format/dimensions/size
401 UNAUTHORIZED Missing/invalid/expired JWT
403 FORBIDDEN Valid JWT but insufficient permissions
404 NOT_FOUND Resource doesn't exist
409 CONFLICT Duplicate email, etc.
422 UNPROCESSABLE_ENTITY Request body fails schema validation
429 RATE_LIMIT_EXCEEDED Quota exceeded
500 INTERNAL_ERROR Unexpected server error
502 AI_MODEL_ERROR Model inference failure
503 SERVICE_UNAVAILABLE Model not loaded / maintenance

7.3 FastAPI Exception Handler Setup

@app.exception_handler(HTTPException)
async def http_exception_handler(request, exc):
    return JSONResponse(
        status_code=exc.status_code,
        content={
            "detail": exc.detail,
            "code": ERROR_CODE_MAP.get(exc.status_code, "UNKNOWN"),
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "path": request.url.path,
        }
    )

@app.exception_handler(RequestValidationError)
async def validation_exception_handler(request, exc):
    return JSONResponse(
        status_code=422,
        content={
            "detail": exc.errors(),
            "code": "VALIDATION_ERROR",
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "path": request.url.path,
        }
    )

8. Middleware & Configuration

8.1 CORS Configuration

origins = [
    "https://skindetect.com",
    "https://app.skindetect.com",
    "https://admin.skindetect.com",
    "http://localhost:3000",     # dev
    "http://localhost:5173",     # vite dev
]

app.add_middleware(
    CORSMiddleware,
    allow_origins=origins,
    allow_credentials=True,
    allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
    allow_headers=["Authorization", "Content-Type", "X-Request-ID"],
    expose_headers=["X-RateLimit-Remaining", "X-RateLimit-Reset"],
    max_age=600,
)

8.2 Audit Logging Middleware

@app.middleware("http")
async def audit_log_middleware(request: Request, call_next):
    start_time = time.perf_counter()
    request_id = str(uuid4())
    request.state.request_id = request_id

    response = await call_next(request)

    elapsed = (time.perf_counter() - start_time) * 1000
    logger.info(
        "audit_log",
        extra={
            "request_id": request_id,
            "method": request.method,
            "path": request.url.path,
            "status_code": response.status_code,
            "elapsed_ms": round(elapsed, 2),
            "ip": get_client_ip(request),
            "user_agent": request.headers.get("user-agent"),
            "user_id": getattr(request.state, "user_id", None),
        }
    )
    return response

8.3 Security Headers Middleware

@app.middleware("http")
async def security_headers(request: Request, call_next):
    response = await call_next(request)
    response.headers["X-Content-Type-Options"] = "nosniff"
    response.headers["X-Frame-Options"] = "DENY"
    response.headers["X-XSS-Protection"] = "1; mode=block"
    response.headers["Strict-Transport-Security"] = "max-age=31536000; includeSubDomains"
    response.headers["Cache-Control"] = "no-store"
    return response

8.4 Rate Limit Response Headers

Every scan response includes these headers:

X-RateLimit-Limit: 5          # Total daily limit
X-RateLimit-Remaining: 3      # Remaining scans today
X-RateLimit-Reset: 1715904000 # Unix timestamp of reset (midnight UTC)

9. Complete API Route Table

Method Route Auth Rate Limited Description
POST /auth/signup No No Create account
POST /auth/login No 10/min per IP Login
POST /auth/social/{provider} No 10/min per IP Social login
POST /auth/forgot-password No 3/hr per email Request reset
POST /auth/reset-password No 5/hr per IP Complete reset
PUT /auth/change-password Yes No Change password
POST /auth/refresh No No Refresh JWT
PUT /auth/profile Yes No Update profile
POST /scans Optional Yes (IP/user) Scan image
GET /scans Yes 60/min Scan history
GET /scans/{id} Yes 60/min Scan detail
PATCH /scans/{id} Yes 60/min Rename scan
DELETE /scans/{id} Yes 60/min Delete scan
GET /recommendations/dermatologists Optional 30/min Find doctors
GET /recommendations/products Optional 30/min Find products
GET /recommendations/clinics Optional 30/min Find clinics
GET /subscriptions/plans No No List plans
POST /subscriptions/create-checkout-session Yes 5/min Start checkout
POST /subscriptions/webhook No (sig) No Stripe webhook
GET /subscriptions/my Yes 30/min My subscription
POST /subscriptions/cancel Yes 5/min Cancel subscription
GET /health No No Health check

10. Environment Variables

# ── App ──────────────────────────────────────────────
APP_ENV=production
APP_SECRET_KEY=<random-64-char-hex>
APP_DEBUG=false
API_PREFIX=/v1

# ── Database ──────────────────────────────────────────
DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/skindetect

# ── JWT ──────────────────────────────────────────────
JWT_ACCESS_SECRET=<random-64-char-hex>
JWT_REFRESH_SECRET=<different-random-64-char-hex>
JWT_ACCESS_EXPIRE_MINUTES=60
JWT_REFRESH_EXPIRE_DAYS=30
JWT_ALGORITHM=HS256

# ── AI Model ─────────────────────────────────────────
MODEL_PATH=best_skin_model_3.keras
CLASS_NAMES_PATH=class_names.json
MODEL_INPUT_SIZE=224
CONFIDENCE_THRESHOLD=15.0

# ── Storage (CDN) ────────────────────────────────────
CDN_PROVIDER=s3
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_S3_BUCKET=skindetect-scans
AWS_REGION=us-east-1
CDN_BASE_URL=https://cdn.skindetect.com

# ── OAuth ────────────────────────────────────────────
GOOGLE_CLIENT_ID=...
GOOGLE_CLIENT_SECRET=...
FACEBOOK_APP_ID=...
FACEBOOK_APP_SECRET=...

# ── Stripe ───────────────────────────────────────────
STRIPE_SECRET_KEY=sk_live_...
STRIPE_WEBHOOK_SECRET=whsec_...
STRIPE_PRICE_FREE=price_1...
STRIPE_PRICE_BASIC=price_2...
STRIPE_PRICE_PREMIUM=price_3...

# ── Rate Limiting ────────────────────────────────────
ANONYMOUS_SCAN_LIMIT=3
FREE_TIER_DAILY_SCANS=5
BASIC_PLAN_DAILY_SCANS=20
PREMIUM_PLAN_DAILY_SCANS=100

# ── Email ────────────────────────────────────────────
SMTP_HOST=smtp.sendgrid.net
SMTP_PORT=587
SMTP_USER=apikey
SMTP_PASSWORD=...
FROM_EMAIL=noreply@skindetect.com

# ── GeoIP ────────────────────────────────────────────
GEOIP_DB_PATH=data/GeoLite2-City.mmdb

# ── Affiliate ────────────────────────────────────────
AMAZON_AFFILIATE_TAG=skindetect-20
WALMART_AFFILIATE_TAG=skindetect-20
CVS_AFFILIATE_TAG=skindetect-20

11. Pydantic Model Definitions

# ── Schemas ──────────────────────────────────────────────

class SignupRequest(BaseModel):
    email: EmailStr
    password: str = Field(..., min_length=8, max_length=128)
    full_name: str = Field(..., min_length=1, max_length=100, pattern=r"^[a-zA-Z\s\-]+$")
    medical_history: Optional[dict] = None

class LoginRequest(BaseModel):
    email: EmailStr
    password: str

class SocialLoginRequest(BaseModel):
    access_token: str

class ForgotPasswordRequest(BaseModel):
    email: EmailStr

class ResetPasswordRequest(BaseModel):
    token: str
    new_password: str = Field(..., min_length=8, max_length=128)

class ChangePasswordRequest(BaseModel):
    current_password: str
    new_password: str = Field(..., min_length=8, max_length=128)

class RefreshTokenRequest(BaseModel):
    refresh_token: str

class UpdateProfileRequest(BaseModel):
    full_name: Optional[str] = Field(None, min_length=1, max_length=100)
    profile_photo: Optional[str] = None  # base64
    medical_history: Optional[dict] = None

class ScanResponse(BaseModel):
    scan_id: str
    image_url: str
    results: list[DiseaseResult]
    primary_detection: PrimaryDetection
    processing_time_ms: int
    disclaimer: str
    quota_remaining: int

class DiseaseResult(BaseModel):
    disease: str
    scientific_name: Optional[str] = None
    confidence: float  # 0–100
    severity: Optional[str] = None
    description: Optional[str] = None
    common_symptoms: list[str] = []
    urgency_level: str  # low | consult_recommended | urgent | emergency

class PrimaryDetection(BaseModel):
    disease: str
    confidence: float
    severity: Optional[str] = None
    urgency_level: str

class PaginatedResponse(BaseModel, Generic[T]):
    items: list[T]
    total: int
    page: int
    page_size: int
    total_pages: int

class TokenResponse(BaseModel):
    access_token: str
    refresh_token: str
    token_type: str = "bearer"
    expires_in: int
    user: UserSummary

class UserSummary(BaseModel):
    id: str
    email: str
    full_name: str
    subscription_plan: str
    scans_remaining_today: int

class ErrorResponse(BaseModel):
    detail: str
    code: str
    timestamp: str
    path: str
    extra: dict = {}

12. File Structure (Recommended)

app/
β”œβ”€β”€ main.py                        # FastAPI app creation, middleware, exception handlers
β”œβ”€β”€ config.py                      # Settings from env vars (pydantic-settings)
β”œβ”€β”€ database.py                    # SQLAlchemy async engine + session
β”œβ”€β”€ models/                        # SQLAlchemy ORM models
β”‚   β”œβ”€β”€ __init__.py
β”‚   β”œβ”€β”€ user.py
β”‚   β”œβ”€β”€ scan.py
β”‚   β”œβ”€β”€ subscription.py
β”‚   └── recommendation.py
β”œβ”€β”€ schemas/                       # Pydantic request/response schemas
β”‚   β”œβ”€β”€ __init__.py
β”‚   β”œβ”€β”€ auth.py
β”‚   β”œβ”€β”€ user.py
β”‚   β”œβ”€β”€ scan.py
β”‚   β”œβ”€β”€ subscription.py
β”‚   └── recommendation.py
β”œβ”€β”€ api/
β”‚   β”œβ”€β”€ __init__.py
β”‚   β”œβ”€β”€ deps.py                    # Dependency injection (get_db, get_current_user, etc.)
β”‚   └── v1/
β”‚       β”œβ”€β”€ __init__.py
β”‚       β”œβ”€β”€ auth.py                # /auth/* routes
β”‚       β”œβ”€β”€ users.py               # /auth/profile route
β”‚       β”œβ”€β”€ scans.py               # /scans/* routes
β”‚       β”œβ”€β”€ recommendations.py     # /recommendations/* routes
β”‚       β”œβ”€β”€ subscriptions.py       # /subscriptions/* routes
β”‚       └── payments.py            # payment webhook
β”œβ”€β”€ core/
β”‚   β”œβ”€β”€ __init__.py
β”‚   β”œβ”€β”€ security.py                # JWT encode/decode, password hashing
β”‚   β”œβ”€β”€ rate_limiter.py            # Quota check logic
β”‚   β”œβ”€β”€ ip_geo.py                  # IP geolocation
β”‚   └── logging.py                 # Logger setup
β”œβ”€β”€ services/
β”‚   β”œβ”€β”€ __init__.py
β”‚   β”œβ”€β”€ ai_detector.py             # Model loading + inference
β”‚   β”œβ”€β”€ payment_gateway.py         # Stripe integration
β”‚   β”œβ”€β”€ email_service.py           # SendGrid/SMTP
β”‚   └── recommendation_engine.py   # Doctor/product/clinic lookup
β”œβ”€β”€ middleware/
β”‚   β”œβ”€β”€ __init__.py
β”‚   └── rate_limit.py              # Rate limit middleware
└── tests/
    β”œβ”€β”€ __init__.py
    β”œβ”€β”€ conftest.py
    β”œβ”€β”€ test_auth.py
    β”œβ”€β”€ test_scans.py
    β”œβ”€β”€ test_recommendations.py
    └── test_subscriptions.py

13. Security Checklist

  • Passwords hashed with bcrypt (β‰₯12 rounds)
  • JWT signed with separate secrets for access/refresh tokens
  • Refresh tokens are single-use (rotate on each refresh)
  • Rate limiting on auth endpoints (3/hr forgot password, 10/min login)
  • CORS restricted to specific origins
  • Security headers via middleware
  • Stripe webhook verified via signature, not auth token
  • Uploaded images scanned for malware (ClamAV)
  • Image EXIF data stripped before storage
  • Input validation on all endpoints (Pydantic)
  • SQL injection prevention (parameterized queries via SQLAlchemy)
  • No secrets in code (all via env vars)
  • Rate limit headers exposed to clients
  • Password reset tokens are one-time-use with short expiry (15 min)
  • Silent fail on forgot-password email lookup (don't reveal if email exists)

14. Performance Considerations

Concern Strategy
Model inference latency Load model at startup, warm up with dummy input, use async executor
Image upload Upload to CDN (S3/GCS) directly via presigned URL, process async
Scan history queries Composite indexes on (user_id, created_at DESC), GIN on detected_conditions
Rate limit counters Use Redis for production; fallback to DB for simplicity
Geo-recommendations PostGIS for spatial queries, cache results (5-min TTL)
Database connections Async SQLAlchemy with connection pooling (min 5, max 20)
CDN Serve scan thumbnails (256Γ—256 WebP) from CDN with 1-year cache
Monitoring Prometheus metrics: scan latency histogram, error rate, quota exhaustion rate

Document Version: 1.0.0
Last Updated: 2026-05-17
Author: FastAPI Backend Architecture Team