deleted unnecessary files

AUTHENTICATION_COMPLETION_GUIDE.md

@@ -1,231 +0,0 @@
-# Authentication Implementation - Completion Guide
-
-## What's Done ✅
-
-### Phase 1: Database (Complete)
-- ✅ Stytch library installed
-- ✅ Migration created and run successfully
-- ✅ `user_id` column added to orders, drivers, assignments tables
-- ✅ Indexes created for fast filtering
-
-### Phase 2: Authentication Module (Complete)
-- ✅ `database/user_context.py` created
-- ✅ Stytch integration working
-- ✅ Token verification function
-- ✅ Permission checking system
-
-### Phase 3: Tool Handlers (4 of 27 Complete)
-- ✅ `handle_create_order` - adds user_id, checks auth
-- ✅ `handle_fetch_orders` - filters by user_id
-- ✅ `handle_create_driver` - adds user_id, checks auth
-- ✅ `handle_fetch_drivers` - filters by user_id
-
-### Phase 4: MCP Tools (1 of 27 Complete)
-- ✅ `create_order` - full authentication example
-- ✅ OAuth metadata endpoint
-- ✅ Authentication helper function
-
----
-
-## What's Remaining ⚠️
-
-### Remaining Tool Handlers (23 handlers in chat/tools.py)
-
-Apply this exact pattern to each:
-
-```python
-# BEFORE:
-def handle_some_tool(tool_input: dict) -> dict:
-    # ... existing code ...
-
-# AFTER:
-def handle_some_tool(tool_input: dict, user_id: str = None) -> dict:
-    # Add auth check at start
-    if not user_id:
-        return {
-            "success": False,
-            "error": "Authentication required. Please login first.",
-            "auth_required": True
-        }
-
-    # ... existing code ...
-
-    # For CREATE operations: Add user_id to INSERT query
-    query = """INSERT INTO table_name (..., user_id) VALUES (..., %s)"""
-    params = (..., user_id)
-
-    # For FETCH operations: Add user_id filter FIRST
-    where_clauses = ["user_id = %s"]
-    params = [user_id]
-    # ... then add other filters ...
-```
-
-**List of handlers to update:**
-
-**Order Handlers (4 remaining):**
-- [ ] `handle_count_orders` - line ~2330
-- [ ] `handle_get_order_details` - line ~2550
-- [ ] `handle_search_orders` - line ~2590
-- [ ] `handle_get_incomplete_orders` - line ~2620
-- [ ] `handle_update_order` - line ~2650
-- [ ] `handle_delete_order` - line ~2730
-- [ ] `handle_delete_all_orders` - line ~2750
-
-**Driver Handlers (4 remaining):**
-- [ ] `handle_count_drivers` - line ~2800
-- [ ] `handle_get_driver_details` - line ~2920
-- [ ] `handle_search_drivers` - line ~2950
-- [ ] `handle_get_available_drivers` - line ~2990
-- [ ] `handle_update_driver` - line ~3020
-- [ ] `handle_delete_driver` - line ~3100
-- [ ] `handle_delete_all_drivers` - line ~3120
-
-**Assignment Handlers (7 total):**
-- [ ] `handle_create_assignment` - line ~3200
-- [ ] `handle_auto_assign_order` - line ~3300
-- [ ] `handle_intelligent_assign_order` - line ~3400
-- [ ] `handle_get_assignment_details` - line ~3500
-- [ ] `handle_update_assignment` - line ~3600
-- [ ] `handle_unassign_order` - line ~3700
-- [ ] `handle_complete_delivery` - line ~3800
-- [ ] `handle_fail_delivery` - line ~3900
-
-### Remaining MCP Tools (26 tools in server.py)
-
-Apply this exact pattern to each:
-
-```python
-# BEFORE:
-@mcp.tool()
-def some_tool(param1: str, param2: int) -> dict:
-    """Tool description"""
-    from chat.tools import handle_some_tool
-    logger.info(f"Tool: some_tool(...)")
-    return handle_some_tool({"param1": param1, "param2": param2})
-
-# AFTER:
-@mcp.tool()
-def some_tool(param1: str, param2: int) -> dict:
-    """Tool description"""
-    # STEP 1: Authenticate
-    user = get_authenticated_user()
-    if not user:
-        return {
-            "success": False,
-            "error": "Authentication required. Please login first.",
-            "auth_required": True
-        }
-
-    # STEP 2: Check permissions
-    required_scope = get_required_scope('some_tool')
-    if not check_permission(user.get('scopes', []), required_scope):
-        return {
-            "success": False,
-            "error": f"Permission denied. Required scope: {required_scope}"
-        }
-
-    # STEP 3: Execute with user_id
-    from chat.tools import handle_some_tool
-    logger.info(f"Tool: some_tool by user {user.get('email')}")
-
-    return handle_some_tool(
-        tool_input={"param1": param1, "param2": param2},
-        user_id=user['user_id']
-    )
-```
-
-**List of tools to update (line numbers in server.py):**
-
-**Order Tools (7 remaining):**
-- [ ] `count_orders` - line 427
-- [ ] `fetch_orders` - line 479
-- [ ] `get_order_details` - line 543
-- [ ] `search_orders` - line 564
-- [ ] `get_incomplete_orders` - line 586
-- [ ] `update_order` - line 612
-- [ ] `delete_order` - line 689
-
-**Driver Tools (7 total):**
-- [ ] `create_driver` - line 714
-- [ ] `count_drivers` - line 772
-- [ ] `fetch_drivers` - line 804
-- [ ] `get_driver_details` - line 848
-- [ ] `search_drivers` - line 871
-- [ ] `get_available_drivers` - line 893
-- [ ] `update_driver` - line 915
-- [ ] `delete_driver` - line 975
-
-**Assignment Tools (7 total):**
-- [ ] `create_assignment` - line 1000
-- [ ] `auto_assign_order` - line 1050
-- [ ] `intelligent_assign_order` - line 1100
-- [ ] `get_assignment_details` - line 1150
-- [ ] `update_assignment` - line 1200
-- [ ] `unassign_order` - line 1250
-- [ ] `complete_delivery` - line 1300
-- [ ] `fail_delivery` - line 1350
-
-**Bulk Operations (2 total):**
-- [ ] `delete_all_orders` - line 1400
-- [ ] `delete_all_drivers` - line 1450
-
-**Public Tools (3 - NO AUTH NEEDED):**
-- `geocode_address` - line 188 (public, no auth)
-- `calculate_route` - line 212 (public, no auth)
-- `calculate_intelligent_route` - line 284 (public, no auth)
-
----
-
-## Quick Implementation Script
-
-You can use this bash script to help identify which functions still need updating:
-
-```bash
-# Find all @mcp.tool() functions
-grep -n "@mcp.tool()" server.py
-
-# Find all handler functions
-grep -n "^def handle_" chat/tools.py
-
-# Check which handlers already have user_id parameter
-grep -n "def handle_.*user_id" chat/tools.py
-```
-
----
-
-## Testing Checklist
-
-After completing all updates:
-
-- [ ] Start server: `python app.py`
-- [ ] Check OAuth endpoint: `curl http://localhost:7860/.well-known/oauth-protected-resource`
-- [ ] Should return JSON with authorization_servers
-- [ ] Test in Claude Desktop:
-  - [ ] Create order → Browser opens for login
-  - [ ] Login with email → Get magic link
-  - [ ] Click link → Logged in
-  - [ ] Order created successfully
-  - [ ] Fetch orders → Only shows user's orders
-- [ ] Test with second user:
-  - [ ] Login with different email
-  - [ ] Create order as second user
-  - [ ] First user can't see second user's orders ✅
-
----
-
-## Estimated Time to Complete
-
-- **Remaining handlers (23):** ~45 minutes (2 min each)
-- **Remaining tools (26):** ~1 hour (2-3 min each)
-- **Testing:** ~20 minutes
-- **Total:** ~2 hours
-
----
-
-## Need Help?
-
-If you get stuck, refer to the completed examples:
-- **Handler example:** `handle_create_order` (line 1331 in chat/tools.py)
-- **Tool example:** `create_order` (line 354 in server.py)
-
-Both show the complete pattern with authentication, permission checks, and user_id handling.

AUTHENTICATION_DOCS.md

@@ -1,505 +0,0 @@
-# FleetMind Authentication System - Complete Documentation
-
-## Overview
-
-FleetMind uses **API Key authentication** for secure multi-tenant access with complete data isolation. This document explains how user_id is maintained and propagated throughout the system.
-
----
-
-## User ID Lifecycle
-
-### 1. Generation (Deterministic)
-
-When a user generates an API key, their `user_id` is created deterministically from their email:
-
-```python
-# database/api_keys.py:76
-user_id = f"user_{hashlib.md5(email.encode()).hexdigest()[:12]}"
-```
-
-**Example:**
-- Email: `admin@gmail.com`
-- User ID: `user_a85ddf4d664b` (always the same for this email)
-
-**Benefits:**
-- Same email always gets same user_id
-- Even if API key is revoked and regenerated, user_id stays the same
-- Enables consistent data ownership across key rotations
-
----
-
-### 2. Storage (api_keys table)
-
-The association between API key and user_id is stored in the database:
-
-```sql
-CREATE TABLE api_keys (
-    key_id SERIAL PRIMARY KEY,
-    user_id VARCHAR(100) NOT NULL UNIQUE,
-    email VARCHAR(255) NOT NULL,
-    name VARCHAR(255),
-    api_key_hash VARCHAR(64) NOT NULL UNIQUE,  -- SHA-256 hash
-    api_key_prefix VARCHAR(20) NOT NULL,       -- First 12 chars for display
-    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    last_used_at TIMESTAMP,
-    is_active BOOLEAN DEFAULT true
-);
-```
-
-**Stored Values:**
-- `api_key_hash`: SHA-256 hash of the actual API key (never stored plaintext)
-- `api_key_prefix`: First 12 characters for display (e.g., `fm_3bGKV40B4...`)
-- `user_id`: Deterministic ID from email
-- `email`: For lookup and revocation
-
----
-
-### 3. Authentication Flow 
-
-#### Step A: User Configuration
-User adds API key to Claude Desktop config:
-
-```json
-{
-  "mcpServers": {
-    "fleetmind": {
-      "command": "npx",
-      "args": [
-        "mcp-remote",
-        "http://localhost:7860/sse?api_key=fm_3bGKV40B47NJ43zQ_4d3j-60a2gyoeLOVffoyyhRtBc"
-      ]
-    }
-  }
-}
-```
-
-#### Step B: Server Extracts API Key (server.py:125-143)
-
-```python
-def get_authenticated_user():
-    # METHOD 1: Extract from SSE connection URL
-    request = get_http_request()
-    if request:
-        api_key = request.query_params.get('api_key')
-        if api_key:
-            user = verify_api_key(api_key)
-            if user:
-                return user  # {'user_id': 'user_a85ddf4d664b', ...}
-
-    # METHOD 2: Development bypass (ENV-protected)
-    env = os.getenv("ENV", "production").lower()
-    skip_auth = os.getenv("SKIP_AUTH", "false").lower() == "true"
-
-    if skip_auth:
-        if env == "production":
-            logger.error("SKIP_AUTH enabled but ENV=production - DENYING")
-            return None
-        else:
-            logger.warning(f"SKIP_AUTH enabled in {env} - using dev user")
-            return {'user_id': 'dev-user', ...}
-
-    return None
-```
-
-#### Step C: Verify API Key (database/api_keys.py:134-195)
-
-```python
-def verify_api_key(api_key: str) -> Optional[Dict[str, str]]:
-    """Verify API key and return user info"""
-
-    if not api_key or not api_key.startswith("fm_"):
-        return None
-
-    # Hash the provided key
-    api_key_hash = hashlib.sha256(api_key.encode()).hexdigest()
-
-    # Look up in database
-    cursor.execute("""
-        SELECT user_id, email, name, is_active
-        FROM api_keys
-        WHERE api_key_hash = %s
-    """, (api_key_hash,))
-
-    result = cursor.fetchone()
-
-    if not result or not result['is_active']:
-        return None
-
-    # Access RealDictRow fields by key (FIXED - was using tuple unpacking)
-    user_id = result['user_id']  # e.g., 'user_a85ddf4d664b'
-    email = result['email']
-    name = result['name']
-
-    # Update last_used_at timestamp
-    cursor.execute("""
-        UPDATE api_keys
-        SET last_used_at = CURRENT_TIMESTAMP
-        WHERE api_key_hash = %s
-    """, (api_key_hash,))
-
-    return {
-        'user_id': user_id,
-        'email': email,
-        'name': name or 'FleetMind User',
-        'scopes': ['orders:read', 'orders:write', 'drivers:read', 'drivers:write', 'assignments:manage']
-    }
-```
-
-#### Step D: Session Context (server.py:47-48)
-
-User info is stored per-request using ContextVar:
-
-```python
-from contextvars import ContextVar
-current_user: ContextVar[Optional[Dict]] = ContextVar('current_user', default=None)
-```
-
----
-
-### 4. Tool Handler Pattern (chat/tools.py)
-
-Every tool extracts `user_id` from the authenticated user:
-
-```python
-async def handle_create_order(input: CreateOrderInput) -> CreateOrderResult:
-    # Get authenticated user
-    user = get_authenticated_user()
-
-    # Extract user_id
-    user_id = user.get('user_id') if user else None
-
-    # Validate with ENV check
-    if not user_id:
-        env = os.getenv("ENV", "production").lower()
-        skip_auth = os.getenv("SKIP_AUTH", "false").lower() == "true"
-
-        if skip_auth and env != "production":
-            user_id = "dev-user"
-        else:
-            return {"error": "Authentication required"}
-
-    # Use in database query
-    cursor.execute("""
-        INSERT INTO orders (order_id, user_id, customer_name, ...)
-        VALUES (%s, %s, %s, ...)
-    """, (order_id, user_id, customer_name, ...))
-
-    return {"success": True, "order_id": order_id}
-```
-
-**Applied to all 29 tools:**
-- 8 Order Management tools
-- 8 Driver Management tools
-- 8 Assignment Management tools
-- 3 Geocoding & Routing tools
-- 2 Bulk Operations tools
-
----
-
-### 5. Database Schema (Multi-Tenant)
-
-All core tables have `user_id` column for data isolation:
-
-```sql
--- orders table
-CREATE TABLE orders (
-    order_id VARCHAR(50) PRIMARY KEY,
-    user_id VARCHAR(100) NOT NULL,  -- Multi-tenant isolation
-    customer_name VARCHAR(255) NOT NULL,
-    delivery_address TEXT NOT NULL,
-    status VARCHAR(20),
-    ...
-    FOREIGN KEY (user_id) REFERENCES api_keys(user_id)
-);
-CREATE INDEX idx_orders_user_id ON orders(user_id);
-CREATE INDEX idx_orders_user_status ON orders(user_id, status);
-
--- drivers table
-CREATE TABLE drivers (
-    driver_id VARCHAR(50) PRIMARY KEY,
-    user_id VARCHAR(100) NOT NULL,  -- Multi-tenant isolation
-    name VARCHAR(255) NOT NULL,
-    status VARCHAR(20),
-    ...
-    FOREIGN KEY (user_id) REFERENCES api_keys(user_id)
-);
-CREATE INDEX idx_drivers_user_id ON drivers(user_id);
-CREATE INDEX idx_drivers_user_status ON drivers(user_id, status);
-
--- assignments table
-CREATE TABLE assignments (
-    assignment_id VARCHAR(50) PRIMARY KEY,
-    user_id VARCHAR(100) NOT NULL,  -- Multi-tenant isolation
-    order_id VARCHAR(50),
-    driver_id VARCHAR(50),
-    status VARCHAR(20),
-    ...
-    FOREIGN KEY (user_id) REFERENCES api_keys(user_id)
-);
-CREATE INDEX idx_assignments_user_id ON assignments(user_id);
-```
-
----
-
-### 6. MCP Resources (server.py:145-218)
-
-Resources also enforce user_id filtering:
-
-```python
-@mcp.resource("orders://all")
-def get_orders_resource() -> str:
-    """Get all orders for authenticated user"""
-    user = get_authenticated_user()
-    if not user:
-        return json.dumps({"error": "Authentication required"})
-
-    query = """
-        SELECT * FROM orders
-        WHERE user_id = %s
-          AND created_at > NOW() - INTERVAL '30 days'
-        ORDER BY created_at DESC
-        LIMIT 1000
-    """
-    orders = execute_query(query, (user['user_id'],))
-    return json.dumps(orders, default=str)
-```
-
----
-
-## Security Features
-
-### 1. Hashed Storage
-- API keys hashed with SHA-256 before storage
-- Never stored in plaintext
-- Can't be reverse-engineered from database
-
-### 2. One-Time Display
-- API keys shown only once during generation
-- User must copy immediately
-- Can't be retrieved later
-
-### 3. Deterministic User IDs
-- Same email always generates same user_id
-- Enables key rotation without losing data
-- user_id persists across key regeneration
-
-### 4. Database-Level Isolation
-- All queries filter by user_id
-- Impossible to access other users' data
-- Enforced at database level with indexes
-
-### 5. Production Safeguards
-- SKIP_AUTH only works when ENV != production
-- Automatic blocking of dev bypass in production
-- ENV-based security controls
-
-### 6. Session Context
-- ContextVar for thread-safe user info
-- Per-request isolation
-- No cross-request data leakage
-
----
-
-## Environment Configuration
-
-```bash
-# Environment mode (controls SKIP_AUTH behavior)
-ENV=development  # Options: development, staging, production
-
-# Authentication bypass (ONLY works when ENV != production)
-SKIP_AUTH=false  # Set to true ONLY for local testing
-
-# Database connection
-DB_HOST=your-postgres-host.neon.tech
-DB_PORT=5432
-DB_NAME=fleetmind
-DB_USER=your_user
-DB_PASSWORD=your_password
-```
-
----
-
-## API Key Management
-
-### Generate Key
-
-```bash
-python generate_api_key.py --email user@example.com --name "John Doe"
-```
-
-Or visit: `http://localhost:7860/generate-key`
-
-### List Keys
-
-```bash
-python generate_api_key.py --list
-```
-
-Output:
-```
-user_id            email                key_preview      created_at           last_used_at        active
-user_a85ddf4d664b  admin@gmail.com      fm_3bGKV40B4...  2025-11-19 10:30:00  2025-11-19 15:45:00 True
-```
-
-### Revoke Key
-
-```bash
-python generate_api_key.py --revoke user@example.com
-```
-
----
-
-## Visual Flow Diagram
-
-```
-┌─────────────────────────────────────────────────────┐
-│ 1. User generates API key via /generate-key        │
-│    - Email: admin@gmail.com                         │
-│    - API Key: fm_3bGKV40B47NJ43zQ_4d3j-60a2gyo...  │
-│    - User ID: user_a85ddf4d664b (deterministic)    │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌───────────────────────────────────────��─────────────┐
-│ 2. Stored in api_keys table                         │
-│    - user_id: user_a85ddf4d664b                     │
-│    - api_key_hash: SHA-256(fm_3bGKV...)            │
-│    - email: admin@gmail.com                         │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌─────────────────────────────────────────────────────┐
-│ 3. User adds to Claude Desktop config               │
-│    URL: /sse?api_key=fm_3bGKV40B47...              │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌─────────────────────────────────────────────────────┐
-│ 4. Server extracts & validates API key              │
-│    - Extract from query params                      │
-│    - Hash with SHA-256                              │
-│    - Look up in database                            │
-│    - Return user_id: user_a85ddf4d664b             │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌─────────────────────────────────────────────────────┐
-│ 5. Tool calls extract user_id                       │
-│    user = get_authenticated_user()                  │
-│    user_id = user['user_id']                        │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌─────────────────────────────────────────────────────┐
-│ 6. Database queries filter by user_id               │
-│    SELECT * FROM orders WHERE user_id = %s          │
-│    INSERT INTO orders (..., user_id, ...)           │
-└─────────────────┬───────────────────────────────────┘
-                  │
-                  ↓
-┌─────────────────────────────────────────────────────┐
-│ 7. Result: Complete multi-tenant data isolation     │
-│    User only sees data with user_id=user_a85ddf...  │
-└─────────────────────────────────────────────────────┘
-```
-
----
-
-## Critical Bug Fixed
-
-### Issue
-The `verify_api_key()` function at `database/api_keys.py:166` was attempting tuple unpacking on a RealDictRow (dictionary), causing it to return column NAMES instead of VALUES:
-
-```python
-# BEFORE (WRONG - returns column names):
-user_id, email, name, is_active = result
-
-# Result: {'user_id': 'user_id', 'email': 'email', 'name': 'name'}
-# This caused all orders to have user_id field set to literal string "user_id"
-```
-
-### Fix
-Changed to proper dictionary access:
-
-```python
-# AFTER (CORRECT - returns actual values):
-user_id = result['user_id']
-email = result['email']
-name = result['name']
-is_active = result['is_active']
-
-# Result: {'user_id': 'user_a85ddf4d664b', 'email': 'admin@gmail.com', ...}
-```
-
-### Data Cleanup
-Created cleanup script to fix existing records:
-- Found 1 order with incorrect `user_id='user_id'`
-- Updated to correct user_id: `user_a85ddf4d664b`
-- All tables now have correct user_id values
-
----
-
-## Documentation Updates
-
-### README.md
-- Added comprehensive "Authentication & Security" section
-- Documented complete authentication flow with diagram
-- Explained user_id generation and maintenance
-- Added database schema examples with user_id
-- Documented environment configuration
-
-### app.py (Web Landing Page)
-- Added "Authentication & Security" section to home page
-- Explained how authentication works (6 steps)
-- Listed security features with checkmarks
-- Updated feature list to include multi-tenant isolation
-
-### app.py (Generate Key Page)
-- Added explanation of what user gets (API key + user_id)
-- Noted that user_id is deterministic from email
-- Added multi-tenant isolation explanation on success page
-- Added authentication flow diagram on success page
-
----
-
-## Testing
-
-### Verify Authentication
-
-```bash
-# Test API key generation
-python generate_api_key.py --email test@example.com
-
-# Test verification
-python -c "from database.api_keys import verify_api_key; print(verify_api_key('fm_your_key_here'))"
-
-# Expected output:
-# {'user_id': 'user_xxxxx', 'email': 'test@example.com', 'name': 'Test User', 'scopes': [...]}
-```
-
-### Verify Data Isolation
-
-```bash
-# Create orders with different users
-# User 1: Create order
-# User 2: Try to view User 1's order (should fail)
-
-# Verify database filtering
-psql -h host -U user -d fleetmind -c "SELECT order_id, user_id FROM orders;"
-```
-
----
-
-## Summary
-
-The FleetMind authentication system ensures:
-
-1. **Secure API Key Management** - SHA-256 hashing, one-time display
-2. **Deterministic User IDs** - Same email → same user_id
-3. **Complete Data Isolation** - All queries filter by user_id
-4. **Production Safeguards** - ENV-based SKIP_AUTH protection
-5. **Session Context** - Thread-safe user info per request
-6. **Database-Level Enforcement** - Foreign keys and indexes
-7. **Multi-Client Support** - Works with any MCP client via SSE
-
-All 29 tools enforce authentication and multi-tenant isolation at every level.

DRIVER_CREATION_GUIDE.md

@@ -1,318 +0,0 @@
-# Driver Creation Feature Guide
-
-## ✅ **Feature Status: READY**
-
-The driver creation feature has been successfully implemented and tested!
-
----
-
-## 🚀 **How to Use**
-
-### **Step 1: Restart Your Application**
-
-Since we updated Gemini's system prompt and tools, restart the app:
-
-```bash
-# Stop the current app (Ctrl+C)
-python ui/app.py
-```
-
----
-
-### **Step 2: Create Drivers Using Natural Language**
-
-Open the chat at http://127.0.0.1:7860 and type naturally!
-
----
-
-## 📝 **Example Commands**
-
-### **Example 1: Complete Driver Info**
-
-```
-Add new driver Tom Wilson, phone 555-0101, drives a van, plate ABC-123
-```
-
-**Gemini will create:**
-- Driver ID: DRV-20251114HHMMSS (auto-generated)
-- Name: Tom Wilson
-- Phone: 555-0101
-- Vehicle: van
-- Plate: ABC-123
-- Status: active (default)
-- Capacity: 1000 kg (default for van)
-
----
-
-### **Example 2: Driver with Skills**
-
-```
-Create driver Sarah Martinez, phone 555-0202, refrigerated truck, plate XYZ-789,
-skills: medical_certified, refrigerated
-```
-
-**Gemini will create:**
-- Name: Sarah Martinez
-- Phone: 555-0202
-- Vehicle: truck
-- Plate: XYZ-789
-- Skills: ["medical_certified", "refrigerated"]
-- Capacity: 1000 kg (default)
-
----
-
-### **Example 3: Minimal Info (Name Only)**
-
-```
-Add driver Mike Chen
-```
-
-**Gemini will create:**
-- Name: Mike Chen
-- Vehicle: van (default)
-- Capacity: 1000 kg (default)
-- Status: active (default)
-- Skills: [] (empty by default)
-
-Gemini might ask: "Would you like to provide phone number or vehicle details?"
-
----
-
-### **Example 4: Motorcycle Courier**
-
-```
-New driver: Lisa Anderson, phone 555-0303, motorcycle, express delivery specialist
-```
-
-**Gemini will create:**
-- Name: Lisa Anderson
-- Phone: 555-0303
-- Vehicle: motorcycle
-- Skills: ["express_delivery"]
-- Capacity: 50 kg (you can specify)
-
----
-
-## 🎯 **Available Fields**
-
-### **Required:**
-- ✅ **name** - Driver's full name
-
-### **Optional:**
-- **phone** - Contact number (e.g., "+1-555-0101")
-- **email** - Email address (e.g., "driver@fleet.com")
-- **vehicle_type** - van | truck | car | motorcycle (default: van)
-- **vehicle_plate** - License plate (e.g., "ABC-1234")
-- **capacity_kg** - Cargo weight capacity in kg (default: 1000.0)
-- **capacity_m3** - Cargo volume capacity in m³ (default: 12.0)
-- **skills** - List of certifications/skills:
-  - `refrigerated` - Can handle cold storage
-  - `medical_certified` - Medical deliveries
-  - `fragile_handler` - Fragile items expert
-  - `overnight` - Overnight/late deliveries
-  - `express_delivery` - Express/rush deliveries
-- **status** - active | busy | offline | unavailable (default: active)
-
----
-
-## 🧪 **Testing**
-
-### **Test 1: Verify Creation**
-
-After creating a driver, check the database:
-
-```bash
-python verify_drivers.py
-```
-
-This will show all drivers including the newly created one.
-
----
-
-### **Test 2: Check in UI**
-
-Go to the **Orders** tab in the UI and you should see new drivers available for assignment.
-
----
-
-## 📊 **What Happens Behind the Scenes**
-
-### **User Input:**
-```
-"Add new driver Tom Wilson, phone 555-0101, drives a van, plate ABC-123"
-```
-
-### **Gemini Processing:**
-1. **Parses** your natural language input
-2. **Extracts** driver information:
-   - name: "Tom Wilson"
-   - phone: "555-0101"
-   - vehicle_type: "van"
-   - vehicle_plate: "ABC-123"
-3. **Calls** `create_driver` tool with extracted data
-4. **Database** inserts the driver with auto-generated ID
-5. **Returns** confirmation message
-
-### **Database Record Created:**
-```sql
-INSERT INTO drivers (
-    driver_id,           -- DRV-20251114113250 (auto)
-    name,                -- Tom Wilson
-    phone,               -- 555-0101
-    vehicle_type,        -- van
-    vehicle_plate,       -- ABC-123
-    status,              -- active (default)
-    capacity_kg,         -- 1000.0 (default)
-    capacity_m3,         -- 12.0 (default)
-    skills,              -- [] (empty)
-    current_lat,         -- 37.7749 (default SF)
-    current_lng,         -- -122.4194 (default SF)
-    last_location_update -- 2025-11-14 11:32:50
-) VALUES (...)
-```
-
----
-
-## 🔄 **Comparison: Orders vs Drivers**
-
-### **Creating an Order:**
-```
-User: "Create order for John Doe, 123 Main St SF, phone 555-1234"
-    ↓
-Gemini: [geocode_address] → [create_order] → "✅ Order created!"
-```
-**2 tools called** (geocoding required for addresses)
-
-### **Creating a Driver:**
-```
-User: "Add driver Tom Wilson, phone 555-0101, van"
-    ↓
-Gemini: [create_driver] → "✅ Driver created!"
-```
-**1 tool called** (no geocoding needed)
-
----
-
-## ⚡ **Quick Reference**
-
-### **Conversational Examples:**
-
-✅ "I need to onboard a new driver named Alex"
-✅ "Add Sarah to the fleet, she drives a truck"
-✅ "New driver: Mike, phone 555-9999, motorcycle"
-✅ "Create driver with medical certification"
-✅ "Add a refrigerated truck driver named Bob"
-
-### **Structured Examples:**
-
-✅ "Create driver: Name: Tom Wilson, Phone: 555-0101, Vehicle: van, Plate: ABC-123"
-✅ "New driver - Name: Sarah, Email: sarah@fleet.com, Vehicle type: truck, Skills: refrigerated, medical_certified"
-
----
-
-## 🎨 **Sample Responses from Gemini**
-
-### **Successful Creation:**
-```
-✅ Driver DRV-20251114113250 created successfully!
-
-Driver Details:
-• Driver ID: DRV-20251114113250
-• Name: Tom Wilson
-• Phone: 555-0101
-• Vehicle: van (ABC-123)
-• Capacity: 1000 kg
-• Status: Active
-• Skills: None
-
-The driver has been added to your fleet and is ready for order assignments!
-```
-
-### **Missing Information:**
-```
-I can create a driver for you! I have:
-• Name: Tom Wilson
-
-To complete the driver profile, please provide (optional):
-• Phone number
-• Vehicle type (van/truck/car/motorcycle)
-• License plate number
-• Any special skills or certifications
-
-Or I can create the driver now with default settings?
-```
-
----
-
-## 🛠️ **Technical Details**
-
-### **Function:** `handle_create_driver()`
-**Location:** `chat/tools.py:245-331`
-
-### **Tool Definition:**
-**Location:** `chat/providers/gemini_provider.py:140-186`
-
-### **System Prompt:**
-**Location:** `chat/providers/gemini_provider.py:32-89`
-
----
-
-## ✨ **Next Steps**
-
-After creating drivers, you can:
-
-1. **Assign orders to drivers** (coming soon)
-2. **View driver list** in the UI
-3. **Update driver status** (active/busy/offline)
-4. **Track driver locations** (coming soon)
-
----
-
-## 🐛 **Troubleshooting**
-
-### **Issue: "Unknown tool: create_driver"**
-
-**Solution:** Restart the application to reload the new tools:
-```bash
-# Stop app (Ctrl+C)
-python ui/app.py
-```
-
-### **Issue: Driver created but not showing in database**
-
-**Solution:** Check database connection and verify:
-```bash
-python verify_drivers.py
-```
-
-### **Issue: "Missing required field: name"**
-
-**Solution:** Make sure you provide at least the driver's name:
-```
-"Add driver John Smith"  ✅
-"Add a new driver"       ❌ (no name)
-```
-
----
-
-## 📈 **Feature Comparison**
-
-| Feature | Orders | Drivers |
-|---------|--------|---------|
-| **Required Fields** | 3 (name, address, contact) | 1 (name) |
-| **Geocoding Needed** | ✅ Yes | ❌ No |
-| **Tools Called** | 2 (geocode + create) | 1 (create) |
-| **Default Values** | Priority, weight | Vehicle type, capacity, status |
-| **Complex Data** | Time windows, coordinates | Skills array, JSON |
-
----
-
-## 🎉 **Ready to Use!**
-
-Your FleetMind system can now:
-- ✅ Create customer orders
-- ✅ Create delivery drivers
-- ✅ Geocode addresses
-- ✅ Store everything in PostgreSQL
-
-Just talk naturally to Gemini and it handles the rest! 🚀

GITHUB_ACTIONS_SETUP.md

@@ -1,315 +0,0 @@
-# GitHub Actions Auto-Sync Setup Guide
-
-This guide walks you through setting up automatic synchronization from your GitHub repository to your Hugging Face Space using GitHub Actions.
-
-## ✅ What's Already Done
-
-- [x] Created GitHub repository directory: `F:\github-fleetmind-team`
-- [x] Copied all HF Space code to GitHub repo
-- [x] Created GitHub Actions workflows:
-  - `.github/workflows/sync-to-huggingface.yml` - Auto-sync on push
-  - `.github/workflows/check-file-size.yml` - Check file sizes on PRs
-
-## 🎯 What You Need to Do Now
-
-### STEP 3: Get Your Hugging Face Token
-
-1. **Go to:** https://huggingface.co/settings/tokens
-
-2. **Click:** "Create new token"
-
-3. **Fill in:**
-   - Name: `GitHub Actions Sync`
-   - Type: **Write** (important!)
-   - Scope: Select **all** or at least:
-     - ✅ Write access to repos
-     - ✅ Write access to spaces
-
-4. **Click:** "Generate token"
-
-5. **COPY THE TOKEN** (you won't see it again!)
-   - It looks like: `hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx`
-
----
-
-### STEP 4: Push Code to GitHub
-
-Open PowerShell or Command Prompt:
-
-```bash
-# Navigate to the GitHub repo
-cd F:\github-fleetmind-team
-
-# Add all files
-git add .
-
-# Commit
-git commit -m "Initial commit: FleetMind MCP with GitHub Actions sync"
-
-# Add GitHub remote (REPLACE YOUR-USERNAME with your actual GitHub username)
-git remote add origin https://github.com/YOUR-USERNAME/fleetmind-mcp.git
-
-# Push to GitHub
-git push -u origin main
-```
-
-**If you get an error about 'main' branch:**
-```bash
-# Rename branch to main
-git branch -M main
-
-# Push again
-git push -u origin main
-```
-
----
-
-### STEP 5: Add HF_TOKEN as GitHub Secret
-
-1. **Go to your GitHub repo:**
-   - URL: `https://github.com/YOUR-USERNAME/fleetmind-mcp`
-
-2. **Click:** Settings (top right of repo page)
-
-3. **In left sidebar, click:**
-   - Secrets and variables → Actions
-
-4. **Click:** "New repository secret"
-
-5. **Fill in:**
-   - Name: `HF_TOKEN`
-   - Secret: Paste the Hugging Face token you copied in Step 3
-
-6. **Click:** "Add secret"
-
----
-
-### STEP 6: Add HF Space as Git Remote (Optional but Recommended)
-
-This allows you to manually push to HF Space if needed:
-
-```bash
-cd F:\github-fleetmind-team
-
-# Add HF Space as a remote
-git remote add space https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-
-# Verify remotes
-git remote -v
-```
-
-You should see:
-```
-origin  https://github.com/YOUR-USERNAME/fleetmind-mcp.git (fetch)
-origin  https://github.com/YOUR-USERNAME/fleetmind-mcp.git (push)
-space   https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai (fetch)
-space   https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai (push)
-```
-
----
-
-### STEP 7: Test the Auto-Sync
-
-Let's make a test change to verify everything works:
-
-```bash
-cd F:\github-fleetmind-team
-
-# Make a small change to README
-echo "\n\n## 🤖 Auto-Synced with GitHub Actions" >> README.md
-
-# Commit the change
-git add README.md
-git commit -m "Test: GitHub Actions auto-sync"
-
-# Push to GitHub
-git push origin main
-```
-
-**What happens next:**
-
-1. ✅ Code pushes to GitHub
-2. ✅ GitHub Actions triggers automatically
-3. ✅ Workflow runs and pushes to HF Space
-4. ✅ HF Space rebuilds with new code
-
-**Check the progress:**
-
-1. **On GitHub:**
-   - Go to: `https://github.com/YOUR-USERNAME/fleetmind-mcp/actions`
-   - You'll see "Sync to Hugging Face Space" workflow running
-   - Wait for green checkmark ✅
-
-2. **On Hugging Face:**
-   - Go to: https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-   - Check the "Files" tab - you should see the new commit
-   - Space will rebuild automatically
-
----
-
-## 🎉 Success! Your Setup is Complete
-
-From now on:
-
-### **Team Members Workflow:**
-
-```bash
-# 1. Clone the GitHub repo (one time)
-git clone https://github.com/YOUR-USERNAME/fleetmind-mcp.git
-cd fleetmind-mcp
-
-# 2. Make changes
-# ... edit files ...
-
-# 3. Commit and push to GitHub
-git add .
-git commit -m "Add new feature"
-git push origin main
-
-# 4. GitHub Actions automatically syncs to HF Space
-# ✨ DONE! Nothing else needed!
-```
-
-### **What GitHub Actions Does:**
-
-Every time someone pushes to the `main` branch on GitHub:
-
-1. ✅ GitHub Actions workflow starts
-2. ✅ Checks out the code
-3. ✅ Pushes to HF Space using your HF_TOKEN
-4. ✅ HF Space rebuilds automatically
-5. ✅ Your app goes live with the new changes
-
----
-
-## 📋 Adding Team Members
-
-### On GitHub (Full Access):
-
-1. Go to: `https://github.com/YOUR-USERNAME/fleetmind-mcp/settings/access`
-2. Click "Add people"
-3. Enter their GitHub username
-4. Select role: **Write** (they can push directly)
-5. Click "Add"
-
-### On Hugging Face (Documentation Only):
-
-Team members don't need HF access! The GitHub Actions bot handles all HF Space updates using your HF_TOKEN.
-
-Just make sure they're listed in the README:
-- Edit `README.md` lines 29-42
-- Add their real names and HF usernames
-- Commit and push
-
----
-
-## 🔧 Troubleshooting
-
-### ❌ "Error: Process completed with exit code 128"
-
-**Solution:** Check that HF_TOKEN is correctly set in GitHub Secrets
-- Go to: `https://github.com/YOUR-USERNAME/fleetmind-mcp/settings/secrets/actions`
-- Verify `HF_TOKEN` exists
-- If not, add it (see Step 5)
-
-### ❌ "Error: failed to push some refs"
-
-**Solution:** HF Space has newer commits
-```bash
-# Pull from HF Space first
-git pull space main --allow-unrelated-histories
-
-# Then push again
-git push origin main
-```
-
-### ❌ GitHub Actions workflow doesn't run
-
-**Solution:** Check that workflow file is in correct location
-- Must be: `.github/workflows/sync-to-huggingface.yml`
-- Check GitHub repo → Actions tab
-- Click "I understand my workflows, go ahead and enable them"
-
-### ❌ Files larger than 10MB
-
-**Solution:** Use Git LFS
-```bash
-# Install Git LFS
-git lfs install
-
-# Track large files
-git lfs track "*.psd"  # Example: Photoshop files
-git lfs track "*.pkl"  # Example: Model files
-
-# Commit .gitattributes
-git add .gitattributes
-git commit -m "Add Git LFS tracking"
-git push
-```
-
----
-
-## 🚀 Advanced: Manual Sync
-
-If you ever need to manually sync to HF Space:
-
-```bash
-cd F:\github-fleetmind-team
-
-# Option 1: Push directly to HF Space remote
-git push space main
-
-# Option 2: Trigger GitHub Actions manually
-# Go to: https://github.com/YOUR-USERNAME/fleetmind-mcp/actions
-# Click "Sync to Hugging Face Space"
-# Click "Run workflow" → "Run workflow"
-```
-
----
-
-## 📊 Workflow Diagram
-
-```
-Developer → GitHub Repo → GitHub Actions → HF Space → Live App
-   ↓            ↓              ↓              ↓          ↓
- Codes      Receives       Triggers       Updates    Rebuilds
-           Push Event       Sync         with new    & Serves
-                                          code
-```
-
----
-
-## 🎯 Benefits of This Setup
-
-✅ **Team Collaboration:** Everyone works on GitHub (familiar workflow)
-✅ **Automatic Deployment:** Push to GitHub = Deploy to HF Space
-✅ **No Permission Issues:** GitHub Actions uses your HF_TOKEN
-✅ **Version Control:** Full history on GitHub
-✅ **CI/CD Ready:** Can add tests, linting, etc.
-✅ **Hackathon Compliant:** Final Space is on HF organization
-
----
-
-## 📝 Next Steps
-
-After setup is complete:
-
-1. **Invite team members to GitHub repo**
-2. **Update README with team information**
-3. **Continue building your project**
-4. **Create demo video (1-5 minutes)**
-5. **Post on social media**
-6. **Submit before November 30, 2025**
-
----
-
-## 📚 Resources
-
-- **GitHub Actions Docs:** https://docs.github.com/en/actions
-- **HF Spaces Docs:** https://huggingface.co/docs/hub/spaces
-- **Git LFS:** https://git-lfs.github.com/
-- **Hackathon Info:** https://huggingface.co/MCP-1st-Birthday
-
----
-
-**You're all set! Happy coding! 🚀**

HUGGINGFACE_DEPLOY.md

@@ -1,215 +0,0 @@
-# Deploy FleetMind MCP to HuggingFace Spaces
-
-## Prerequisites
-
-- HuggingFace account
-- Git installed locally
-- PostgreSQL database (from previous setup)
-
-## Deployment Steps
-
-### 1. Create HuggingFace Space
-
-1. Go to https://huggingface.co/new-space
-2. **Name**: `fleetmind-dispatch-ai` (or your choice)
-3. **SDK**: Select `Docker`
-4. **Visibility**: Public (or Private)
-5. Click **Create Space**
-
-### 2. Configure Environment Variables
-
-In your Space settings, add these **Secrets**:
-
-```
-# Database Configuration
-DATABASE_URL=postgresql://user:password@host:5432/fleetmind_mcp
-
-# Google Maps API (optional - only if using routing features)
-GOOGLE_MAPS_API_KEY=your_google_maps_api_key
-
-# Port Configuration (HuggingFace automatically sets this to 7860)
-PORT=7860
-```
-
-**IMPORTANT**: Do NOT add PORT to secrets on HuggingFace - it's automatically set!
-
-### 3. Push Your Code
-
-#### Option A: Using HuggingFace Web Interface
-
-1. In your Space, click **Files** → **Add file**
-2. Upload all files from your `fleetmind-mcp` directory:
-   - `app.py`
-   - `proxy.py`
-   - `start_with_proxy.py`
-   - `server.py`
-   - `requirements.txt`
-   - `Dockerfile`
-   - `.env.example`
-   - All other Python files
-
-#### Option B: Using Git (Recommended)
-
-```bash
-# Clone your HuggingFace space
-git clone https://huggingface.co/spaces/YOUR_USERNAME/fleetmind-dispatch-ai
-cd fleetmind-dispatch-ai
-
-# Copy your files
-cp -r /path/to/fleetmind-mcp/* .
-
-# Commit and push
-git add .
-git commit -m "Deploy FleetMind MCP with authentication proxy"
-git push
-```
-
-### 4. Verify Deployment
-
-1. HuggingFace will automatically build your Docker image
-2. Check the **Logs** tab for build progress
-3. Look for these success messages:
-   ```
-   [1/2] Starting FastMCP server on port 7861...
-   [OK] FastMCP server running
-   [2/2] Starting authentication proxy on port 7860...
-   [OK] Auth proxy running
-   [OK] FleetMind MCP Server is READY!
-   ```
-
-4. Your Space will be available at:
-   ```
-   https://YOUR_USERNAME-fleetmind-dispatch-ai.hf.space
-   ```
-
-### 5. Connect from Claude Desktop
-
-Update your Claude Desktop config:
-
-```json
-{
-  "mcpServers": {
-    "fleetmind_hf": {
-      "command": "npx",
-      "args": [
-        "mcp-remote",
-        "https://YOUR_USERNAME-fleetmind-dispatch-ai.hf.space/sse?api_key=fm_YOUR_API_KEY"
-      ]
-    }
-  }
-}
-```
-
-**Replace**:
-- `YOUR_USERNAME` with your HuggingFace username
-- `fm_YOUR_API_KEY` with an actual API key from your database
-
-### 6. Test the Connection
-
-1. Restart Claude Desktop
-2. Try a command: "How many orders are there?"
-3. Check Space logs for:
-   ```
-   [AUTH] Captured API key from SSE connection
-   [AUTH] Linked session ... to API key
-   [AUTH] Authenticated user: <username>
-   ```
-
-## Architecture on HuggingFace
-
-```
-Claude Desktop
-    ↓
-https://YOU-fleetmind.hf.space/sse?api_key=xxx
-    ↓
-Proxy (0.0.0.0:7860)
-    ↓ (captures & injects API key)
-FastMCP Server (localhost:7861)
-    ↓
-PostgreSQL Database
-```
-
-## Troubleshooting
-
-### Build Fails
-
-**Check Dockerfile syntax:**
-```bash
-# Test locally first
-docker build -t fleetmind-test .
-docker run -p 7860:7860 fleetmind-test
-```
-
-### Space Crashes
-
-**Check logs for:**
-- Database connection errors
-- Missing environment variables
-- Port conflicts
-
-**Common fixes:**
-```bash
-# Verify DATABASE_URL format
-postgresql://user:password@host:5432/database_name
-
-# Check if FastMCP started before proxy
-# Look for "FastMCP server running" before "Auth proxy running"
-```
-
-### Authentication Fails
-
-**Check:**
-1. API key is valid in database:
-   ```sql
-   SELECT * FROM api_keys WHERE key_hash = encode(sha256('fm_YOUR_KEY'::bytea), 'hex');
-   ```
-
-2. Logs show key capture:
-   ```
-   [AUTH] Captured API key from SSE connection: fm_...
-   ```
-
-3. Session is linked:
-   ```
-   [AUTH] Linked session abc123... to API key
-   ```
-
-### Connection Times Out
-
-**Possible causes:**
-- HuggingFace Space is sleeping (first request takes longer)
-- Database is unreachable from HuggingFace
-- Firewall blocking database access
-
-**Fix:**
-- For database: Ensure PostgreSQL allows connections from HuggingFace IPs
-- For sleeping: Use a monitoring service to ping your Space every 10 minutes
-
-## Performance Tips
-
-1. **Keep Space Active**: Free tier sleeps after inactivity
-   - Use UptimeRobot to ping `/health` every 5 minutes
-
-2. **Database Connection Pooling**: Already configured in `server.py`
-
-3. **Monitor Logs**: Check for authentication errors and slow queries
-
-## Multi-Tenant Setup
-
-Each user can have their own API key:
-
-```json
-// User A's Claude Desktop
-"args": ["mcp-remote", "https://...hf.space/sse?api_key=fm_USER_A_KEY"]
-
-// User B's Claude Desktop
-"args": ["mcp-remote", "https://...hf.space/sse?api_key=fm_USER_B_KEY"]
-```
-
-All requests are properly isolated by API key!
-
-## Support
-
-- **GitHub**: https://github.com/mashrur-rahman-fahim/fleetmind-mcp
-- **HuggingFace**: Your Space settings �� Community tab
-- **Docs**: https://docs.fastmcp.com

IMPLEMENTATION_STATUS.md

@@ -1,252 +0,0 @@
-# FleetMind Multi-Tenant Authentication - Implementation Status
-
-## ✅ COMPLETED (Production Ready for Testing)
-
-### Infrastructure (100% Complete)
-- ✅ Stytch library installed
-- ✅ Database migration executed successfully
-- ✅ `user_id` columns added to: orders, drivers, assignments
-- ✅ Indexes created for performance
-- ✅ `database/user_context.py` authentication module created
-- ✅ OAuth metadata endpoint configured
-- ✅ Stytch credentials configured in `.env`
-
-### Handler Functions (6 of 27 Complete - 22%)
-**✅ Fully Updated:**
-1. `handle_create_order` - Creates orders with user_id
-2. `handle_fetch_orders` - Filters by user_id
-3. `handle_create_driver` - Creates drivers with user_id
-4. `handle_fetch_drivers` - Filters by user_id
-5. `handle_count_orders` - Counts only user's orders
-6. `handle_get_order_details` - Returns only if user owns order
-
-**Status:** Core CRUD operations functional with authentication
-
-### MCP Tools (1 of 27 Complete - 4%)
-**✅ Fully Updated:**
-1. `create_order` (line 354, server.py) - Complete authentication example
-
-**Status:** One complete example, pattern established
-
----
-
-## ⚠️ REMAINING WORK
-
-### Remaining Handlers (21 functions in chat/tools.py)
-
-**Order Handlers (4 remaining):**
-- [ ] `handle_search_orders`
-- [ ] `handle_get_incomplete_orders`
-- [ ] `handle_update_order`
-- [ ] `handle_delete_order`
-- [ ] `handle_delete_all_orders`
-
-**Driver Handlers (6 remaining):**
-- [ ] `handle_count_drivers`
-- [ ] `handle_get_driver_details`
-- [ ] `handle_search_drivers`
-- [ ] `handle_get_available_drivers`
-- [ ] `handle_update_driver`
-- [ ] `handle_delete_driver`
-- [ ] `handle_delete_all_drivers`
-
-**Assignment Handlers (8 remaining):**
-- [ ] `handle_create_assignment`
-- [ ] `handle_auto_assign_order`
-- [ ] `handle_intelligent_assign_order`
-- [ ] `handle_get_assignment_details`
-- [ ] `handle_update_assignment`
-- [ ] `handle_unassign_order`
-- [ ] `handle_complete_delivery`
-- [ ] `handle_fail_delivery`
-
-### Remaining MCP Tools (26 functions in server.py)
-
-**Order Tools (7 remaining):**
-- [ ] `count_orders`
-- [ ] `fetch_orders`
-- [ ] `get_order_details`
-- [ ] `search_orders`
-- [ ] `get_incomplete_orders`
-- [ ] `update_order`
-- [ ] `delete_order`
-
-**Driver Tools (8 remaining):**
-- [ ] `create_driver`
-- [ ] `count_drivers`
-- [ ] `fetch_drivers`
-- [ ] `get_driver_details`
-- [ ] `search_drivers`
-- [ ] `get_available_drivers`
-- [ ] `update_driver`
-- [ ] `delete_driver`
-
-**Assignment Tools (8 remaining):**
-- [ ] `create_assignment`
-- [ ] `auto_assign_order`
-- [ ] `intelligent_assign_order`
-- [ ] `get_assignment_details`
-- [ ] `update_assignment`
-- [ ] `unassign_order`
-- [ ] `complete_delivery`
-- [ ] `fail_delivery`
-
-**Bulk Tools (2 remaining):**
-- [ ] `delete_all_orders`
-- [ ] `delete_all_drivers`
-
-**Public Tools (3 - NO AUTH NEEDED):**
-- `geocode_address` ✅ (public tool, no auth required)
-- `calculate_route` ✅ (public tool, no auth required)
-- `calculate_intelligent_route` ✅ (public tool, no auth required)
-
----
-
-## 🎯 CURRENT STATE
-
-### What Works Right Now:
-```
-✅ User can create account via Stytch
-✅ User can login (email magic link)
-✅ Token is verified
-✅ create_order tool is fully protected
-✅ Orders are saved with user_id
-✅ fetch_orders filters by user_id
-✅ Users can't see each other's orders
-✅ Drivers are saved with user_id
-✅ Users can't see each other's drivers
-```
-
-### What Doesn't Work Yet:
-```
-❌ Other 26 MCP tools not protected
-❌ Can call unprotected tools without auth
-❌ Some handlers don't filter by user_id yet
-```
-
----
-
-## 🚀 TESTING THE CURRENT IMPLEMENTATION
-
-### Step 1: Start the Server
-```bash
-cd "C:\Users\Mashrur Rahman\Documents\MCP_Server\fleetmind-mcp"
-python app.py
-```
-
-### Step 2: Test OAuth Endpoint
-```bash
-curl http://localhost:7860/.well-known/oauth-protected-resource
-```
-
-**Expected Response:**
-```json
-{
-  "resource": "http://localhost:7860",
-  "authorization_servers": [
-    "https://test.stytch.com/v1/public"
-  ],
-  "scopes_supported": ["orders:read", "orders:write", ...]
-}
-```
-
-### Step 3: Test in Claude Desktop
-
-**Update Claude Desktop config:**
-```json
-{
-  "mcpServers": {
-    "fleetmind": {
-      "command": "npx",
-      "args": ["mcp-remote", "http://localhost:7860/sse"]
-    }
-  }
-}
-```
-
-**Test create_order (the one protected tool):**
-1. Ask Claude: "Create an order for pizza delivery to 123 Main St"
-2. Browser should open for Stytch login
-3. Enter your email
-4. Check email for magic link
-5. Click link → Should redirect back
-6. Claude Desktop saves token
-7. Order created successfully
-
-**Verify it worked:**
-- Ask Claude: "Show me all orders"
-- Should see only the order you just created
-- The order should have your user_id in the database
-
----
-
-## ⏱️ TIME TO COMPLETE REMAINING WORK
-
-- **Remaining handlers:** 21 × 2 min = 42 minutes
-- **Remaining MCP tools:** 26 × 2 min = 52 minutes
-- **Total:** ~1.5 hours
-
----
-
-## 📋 NEXT STEPS
-
-### Option A: Complete Remaining Work Manually
-Follow the pattern from completed examples:
-- **Handler example:** `handle_create_order` (line 1331, chat/tools.py)
-- **Tool example:** `create_order` (line 405, server.py)
-
-### Option B: Test Current Implementation First
-1. Test the working tools
-2. Verify authentication flow
-3. Confirm data isolation
-4. Then decide if you need all 27 tools protected immediately
-
-### Option C: Phased Rollout
-1. **Phase 1 (Current):** Core CRUD protected
-2. **Phase 2:** Add update/delete operations
-3. **Phase 3:** Add assignment operations
-4. **Phase 4:** Add bulk operations
-
----
-
-## 💡 RECOMMENDATION
-
-**Test what we have first!**
-
-The core functionality is working:
-- ✅ User authentication
-- ✅ Order creation with user_id
-- ✅ Order fetching filtered by user_id
-- ✅ Driver creation with user_id
-- ✅ Driver fetching filtered by user_id
-
-This is enough to:
-1. Verify the authentication flow works
-2. Confirm data isolation works
-3. Test with multiple users
-4. Identify any issues before completing remaining work
-
-**Then** we can complete the remaining 47 functions knowing the foundation is solid.
-
----
-
-## 🔧 Files Created
-
-1. `database/migrations/007_add_user_id.py` - Database migration
-2. `database/user_context.py` - Authentication module
-3. `IMPLEMENTATION_PLAN.md` - Original detailed plan
-4. `AUTHENTICATION_COMPLETION_GUIDE.md` - Step-by-step guide
-5. `IMPLEMENTATION_STATUS.md` - This file
-6. `apply_auth_pattern.py` - Helper script (not yet used)
-
----
-
-## 📊 Summary
-
-**Completion: 25% Complete, 75% Remaining**
-- Infrastructure: 100% ✅
-- Core handlers: 6/27 (22%) ✅
-- MCP tools: 1/27 (4%) ✅
-- **Status:** Ready for initial testing
-
-**Estimated time to 100%:** 1.5 hours of systematic updates

MCP_TOOLS_SUMMARY.md

@@ -1,107 +0,0 @@
-# FleetMind MCP Tools - Quick Reference
-
-## Geocoding & Routing (3 tools)
-
-1. **`geocode_address`** - Convert address to GPS coordinates
-2. **`calculate_route`** - Calculate route with vehicle-specific optimization (motorcycle/car/bicycle), toll avoidance, traffic data
-3. **`calculate_intelligent_route`** - Advanced routing with weather + traffic + vehicle type analysis
-
-## Order Management (8 tools)
-
-4. **`create_order`** - Create new delivery order with **MANDATORY expected_delivery_time** and SLA tracking
-5. **`count_orders`** - Count orders by status (pending/assigned/in_transit/delivered)
-6. **`fetch_orders`** - Get list of orders with filters and pagination
-7. **`get_order_details`** - Get full details of specific order by ID including timing and SLA data
-8. **`search_orders`** - Search orders by customer name, address, or order ID
-9. **`get_incomplete_orders`** - Get all pending/assigned/in_transit orders
-10. **`update_order`** - Update order status, driver, location, notes (with assignment cascading)
-11. **`delete_order`** - Delete order (with active assignment checks)
-
-## Driver Management (8 tools)
-
-12. **`create_driver`** - Register new driver with name, phone, vehicle type
-13. **`count_drivers`** - Count drivers by status (active/busy/offline)
-14. **`fetch_drivers`** - Get list of drivers with filters and pagination
-15. **`get_driver_details`** - Get full details of specific driver by ID
-16. **`search_drivers`** - Search drivers by name, phone, or driver ID
-17. **`get_available_drivers`** - Get all active drivers ready for assignment
-18. **`update_driver`** - Update driver status, phone, vehicle type, location (with assignment validation)
-19. **`delete_driver`** - Delete driver (with assignment safety checks)
-
-## Assignment Management (8 tools)
-
-20. **`create_assignment`** - Manually assign order to driver (validates status, calculates route, saves all data)
-21. **`auto_assign_order`** - **AUTO ASSIGNMENT**: Automatically assign order to nearest driver meeting requirements (distance + validation based)
-22. **`intelligent_assign_order`** - **AI ASSIGNMENT**: Use Google Gemini AI to intelligently select best driver based on all parameters with reasoning
-23. **`get_assignment_details`** - Get assignment details by assignment ID, order ID, or driver ID
-24. **`update_assignment`** - Update assignment status with cascading updates to orders/drivers
-25. **`unassign_order`** - Unassign order from driver (reverts statuses, requires confirmation)
-26. **`complete_delivery`** - Mark delivery complete and auto-update driver location to delivery address
-27. **`fail_delivery`** - Mark delivery as failed with MANDATORY driver location and failure reason
-
-## Bulk Operations (2 tools)
-
-28. **`delete_all_orders`** - Bulk delete all orders (or by status filter, blocks if active assignments exist)
-29. **`delete_all_drivers`** - Bulk delete all drivers (or by status filter, blocks if assignments exist)
-
----
-
-## Total: 29 MCP Tools
-
-**Routing Tools:** 3 (with Google Routes API integration)
-**Order Tools:** 8 (full CRUD + search + cascading)
-**Driver Tools:** 8 (full CRUD + search + cascading)
-**Assignment Tools:** 8 (manual + auto + intelligent AI assignment + lifecycle management)
-**Bulk Operations:** 2 (efficient mass deletions with safety checks)
-
-### Key Features:
-- ✅ Real-time traffic & weather-aware routing
-- ✅ Vehicle-specific optimization (motorcycle/bicycle/car/van/truck)
-- ✅ Toll detection & avoidance
-- ✅ Complete fleet management (orders + drivers + assignments)
-- ✅ **Three assignment methods: Manual, Auto (distance-based), and Intelligent (Gemini 2.0 AI)**
-- ✅ **Auto assignment: nearest driver with capacity & skill validation**
-- ✅ **Intelligent AI assignment: Gemini 2.0 Flash analyzes all parameters with detailed reasoning**
-- ✅ Assignment system with automatic route calculation
-- ✅ **Mandatory delivery deadline (expected_delivery_time) when creating orders**
-- ✅ **Automatic SLA tracking with grace period**
-- ✅ **Delivery performance status: on_time, late, very_late, failed_on_time, failed_late**
-- ✅ **Automatic driver location updates on delivery completion**
-- ✅ **Mandatory location + reason tracking for failed deliveries**
-- ✅ **Structured failure reasons for analytics and reporting**
-- ✅ Cascading status updates (order → assignment → driver)
-- ✅ Safety checks preventing invalid deletions/updates
-- ✅ PostgreSQL database with foreign key constraints
-- ✅ Search & filtering capabilities
-- ✅ Status tracking & validation
-
-### Assignment System Capabilities:
-- **Manual assignment** (`create_assignment`) - Manually assign order to specific driver
-- **Auto assignment** (`auto_assign_order`) - Automatically assign to nearest driver meeting requirements:
-  - Selects nearest driver by real-time route distance
-  - Validates vehicle capacity (weight & volume)
-  - Validates driver skills (fragile handling, cold storage)
-  - Returns selection reason and distance info
-- **Intelligent AI assignment** (`intelligent_assign_order`) - Gemini 2.0 Flash AI analyzes all parameters:
-  - Uses latest Gemini 2.0 Flash model (gemini-2.0-flash-exp)
-  - Evaluates order priority, fragility, time constraints, value
-  - Considers driver location, capacity, skills, vehicle type
-  - Analyzes real-time traffic, weather conditions
-  - Evaluates complex tradeoffs (speed vs safety, cost vs quality)
-  - Returns detailed AI reasoning and confidence score
-  - Requires GOOGLE_API_KEY environment variable
-- **Automatic route calculation** from driver location to delivery address
-- **Delivery completion** with automatic driver location update to delivery address
-- **SLA & Timing Tracking**:
-  - Mandatory `expected_delivery_time` when creating orders
-  - Automatic comparison of actual vs expected delivery time
-  - Grace period support (default: 15 minutes)
-  - Performance statuses: `on_time`, `late` (within grace), `very_late` (SLA violation)
-  - `delivered_at` field automatically populated on completion/failure
-- **Delivery failure handling** with mandatory GPS location and failure reason
-- **Failure timing tracking**: `failed_on_time` vs `failed_late` status
-- **Structured failure reasons**: customer_not_available, wrong_address, refused_delivery, damaged_goods, payment_issue, vehicle_breakdown, access_restricted, weather_conditions, other
-- **Status management** with cascading updates across orders/drivers/assignments
-- **Safety checks** preventing deletion of orders/drivers with active assignments
-- **Assignment lifecycle**: active → in_progress → completed/failed/cancelled
-- **Database integrity** via FK constraints (ON DELETE CASCADE/RESTRICT/SET NULL)

MIGRATION_SUMMARY.md

@@ -1,478 +0,0 @@
-# FleetMind → FastMCP Migration Summary
-
-**Date:** November 14, 2025
-**Status:** ✅ **COMPLETE**
-**Effort:** ~26 hours of planned work completed
-
----
-
-## Executive Summary
-
-Successfully transformed FleetMind from a Gradio web application to an industry-standard FastMCP server, achieving:
-- **46% code reduction** (5,400 → 3,100 lines)
-- **18 AI tools** fully operational
-- **2 real-time resources** providing live data
-- **100% business logic preserved** (database, geocoding unchanged)
-- **Multi-client support** (Claude Desktop, Continue, Cline, custom apps)
-
----
-
-## What Was Built
-
-### Core MCP Server (`server.py` - 882 lines)
-
-**Features:**
-- FastMCP 2.13.0 framework integration
-- Logging infrastructure
-- Database connectivity validation
-- Google Maps API integration
-- 18 tool wrappers with type hints
-- 2 resource providers
-
-**Tools Implemented (18 total):**
-
-#### Order Management (10 tools)
-1. ✅ `geocode_address` - Address validation & geocoding
-2. ✅ `calculate_route` - Route calculation with Google Maps Directions API
-3. ✅ `create_order` - Create delivery orders
-4. ✅ `count_orders` - Count with flexible filters
-5. ✅ `fetch_orders` - Pagination & sorting
-6. ✅ `get_order_details` - Complete order information
-7. ✅ `search_orders` - Search by customer/ID
-8. ✅ `get_incomplete_orders` - Active deliveries shortcut
-9. ✅ `update_order` - Update with auto-geocoding
-10. ✅ `delete_order` - Permanent deletion with confirmation
-
-#### Driver Management (8 tools)
-11. ✅ `create_driver` - Driver onboarding
-12. ✅ `count_drivers` - Count with status/vehicle filters
-13. ✅ `fetch_drivers` - Pagination & sorting
-14. ✅ `get_driver_details` - With reverse-geocoded location
-15. ✅ `search_drivers` - Search by name/plate/ID
-16. ✅ `get_available_drivers` - Available drivers shortcut
-17. ✅ `update_driver` - Update with location tracking
-18. ✅ `delete_driver` - Permanent deletion with confirmation
-
-**Resources Implemented (2 total):**
-1. ✅ `orders://all` - Last 30 days, max 1000 orders
-2. ✅ `drivers://all` - All drivers with current locations
-
-**Prompts:** Planned but deferred (FastMCP API pending confirmation)
-
----
-
-## Architecture Comparison
-
-### Before (Gradio System)
-```
-┌─────────────────────────────────────┐
-│     Gradio Web UI (ui/app.py)       │  1,128 lines
-└─────────────────────────────────────┘
-              ↓
-┌─────────────────────────────────────┐
-│   ChatEngine (chat/chat_engine.py)  │  109 lines
-└─────────────────────────────────────┘
-              ↓
-┌──────────────────┬──────────────────┐
-│  GeminiProvider  │  ClaudeProvider  │  1,358 lines total
-│  (984 lines)     │  (374 lines)     │
-└──────────────────┴──────────────────┘
-              ↓
-┌─────────────────────────────────────┐
-│    Tools (chat/tools.py)            │  2,099 lines
-└─────────────────────────────────────┘
-              ↓
-┌──────────────┬──────────────────────┐
-│  Geocoding   │  Database (PostgreSQL)│  455 lines
-│  (234 lines) │  (221 lines)         │
-└──────────────┴──────────────────────┘
-```
-
-**Total:** ~5,400 lines of code
-
-### After (MCP System)
-```
-┌──────────────────────────────────────┐
-│   Any MCP Client (Claude Desktop,    │
-│   Continue, Cline, Custom Apps)      │
-└──────────────────────────────────────┘
-              ↓
-        MCP Protocol
-              ↓
-┌──────────────────────────────────────┐
-│   FleetMind MCP Server (server.py)   │  882 lines
-│   - 18 tools                         │
-│   - 2 resources                      │
-│   - Logging & validation             │
-└──────────────────────────────────────┘
-              ↓
-┌──────────────┬───────────────────────┐
-│  Tools       │  Geocoding  │ Database│  2,554 lines
-│  (2,099)     │  (234)      │  (221)  │
-└──────────────┴─────────────┴─────────┘
-```
-
-**Total:** ~3,100 lines of code (-46%)
-
----
-
-## Files Created
-
-### New Files
-1. ✅ `server.py` (882 lines) - Main MCP server
-2. ✅ `pyproject.toml` - Package configuration
-3. ✅ `mcp_config.json` - MCP metadata
-4. ✅ `README_MCP.md` - Comprehensive documentation
-5. ✅ `MIGRATION_SUMMARY.md` (this file)
-6. ✅ `logs/.gitkeep` - Logs directory
-7. ✅ `archive/` - Archived old code
-
-### Modified Files
-1. ✅ `requirements.txt` - Updated dependencies (removed Gradio, Anthropic, Gemini)
-2. ✅ `.env` - Compatible (no changes needed)
-
-### Preserved Files (Unchanged)
-1. ✅ `chat/tools.py` - All 18 tool handlers
-2. ✅ `chat/geocoding.py` - Geocoding service
-3. ✅ `database/connection.py` - Database layer
-4. ✅ `database/schema.py` - Schema definitions
-5. ✅ `.env` - Environment configuration
-
-### Files for Archiving (Phase 8)
-1. `ui/app.py` (1,128 lines) - Gradio interface
-2. `chat/chat_engine.py` (109 lines) - Provider router
-3. `chat/providers/gemini_provider.py` (984 lines) - Gemini integration
-4. `chat/providers/claude_provider.py` (374 lines) - Claude integration
-5. `chat/conversation.py` (86 lines) - Session management
-6. `app.py` (8 lines) - Gradio entry point
-
----
-
-## Testing Results
-
-### ✅ Server Import Test
-```bash
-$ python -c "import server; print('Success')"
-INFO:server:Initializing FleetMind MCP Server...
-INFO:server:Geocoding Service: ✅ Google Maps API connected
-INFO:server:Database: Connected to PostgreSQL
-Success
-```
-
-### ✅ Database Connectivity
-- Connection pool: Working
-- PostgreSQL version: 17.5
-- Database: fleetmind@Neon
-- Region: ap-southeast-1
-
-### ✅ Geocoding Service
-- Google Maps API: Connected
-- Quota: 60 queries (per time window)
-- Mock fallback: Available
-
-### ✅ Tool Handlers
-- All 18 handlers verified in `chat/tools.py`
-- Import successful
-- Database queries tested
-
----
-
-## Dependencies Comparison
-
-### Before (Gradio System)
-```
-gradio==5.49.1
-anthropic>=0.40.0
-google-generativeai>=0.3.0
-pandas>=2.2.0
-faker>=23.0.0
-psycopg2-binary>=2.9.9
-requests>=2.31.0
-httpx>=0.27.1
-googlemaps>=4.10.0
-python-dotenv>=1.0.0
-pydantic==2.8.2
-fastmcp>=0.3.0  # (not used)
-```
-
-### After (MCP System)
-```
-fastmcp>=0.3.0       # ← Now actively used
-pydantic>=2.8.2
-psycopg2-binary>=2.9.9
-googlemaps>=4.10.0
-python-dotenv>=1.0.0
-pytest>=8.0.0        # Dev dependency
-pytest-asyncio>=0.23.0
-mypy>=1.8.0
-black>=24.0.0
-ruff>=0.1.0
-```
-
-**Removed:**
-- gradio (web UI framework)
-- anthropic (Claude API client)
-- google-generativeai (Gemini API client)
-- pandas (data manipulation - was only used in UI)
-- faker (test data - moved to dev dependencies)
-
----
-
-## Configuration Changes
-
-### Environment Variables
-
-**Unchanged:**
-- ✅ `DB_HOST` - PostgreSQL host
-- ✅ `DB_PORT` - PostgreSQL port
-- ✅ `DB_NAME` - Database name
-- ✅ `DB_USER` - Database user
-- ✅ `DB_PASSWORD` - Database password
-- ✅ `GOOGLE_MAPS_API_KEY` - Google Maps API key
-
-**Removed (no longer needed):**
-- ❌ `AI_PROVIDER` - Client handles AI provider selection
-- ❌ `ANTHROPIC_API_KEY` - Not used in MCP server
-- ❌ `GOOGLE_API_KEY` (Gemini) - Not used in MCP server
-- ❌ `GRADIO_SERVER_PORT` - No Gradio UI
-- ❌ `GRADIO_SHARE` - No Gradio UI
-
-**Added (optional):**
-- ➕ `MCP_SERVER_PORT` (optional) - For future HTTP/SSE mode
-- ➕ `LOG_LEVEL` (optional) - Logging verbosity
-- ➕ `LOG_FILE` (optional) - Log file path
-
----
-
-## Database Schema
-
-**Status:** ✅ **100% Preserved** - No changes required
-
-All existing tables, indexes, constraints, and triggers remain unchanged:
-- `orders` table (26 columns)
-- `drivers` table (15 columns)
-- `assignments` table
-- `exceptions` table
-- `agent_decisions` table
-- `metrics` table
-
-**Migration Required:** ❌ None
-
----
-
-## Performance Improvements
-
-### Code Metrics
-| Metric | Before | After | Change |
-|--------|--------|-------|--------|
-| Total Lines | 5,400 | 3,100 | -46% |
-| Files | 19 | 12 | -37% |
-| Dependencies | 12 | 10 | -17% |
-| Tools | 18 | 18 | 0% |
-| Features | All | All | 0% |
-
-### Deployment Benefits
-- **Startup Time:** Faster (no Gradio UI initialization)
-- **Memory Footprint:** Lower (no web framework overhead)
-- **Scalability:** Better (stateless MCP protocol)
-- **Testing:** Easier (isolated tools)
-
----
-
-## Client Integration
-
-### Claude Desktop
-
-**Setup:**
-1. Install Claude Desktop
-2. Edit `claude_desktop_config.json`
-3. Add FleetMind server configuration
-4. Restart Claude Desktop
-
-**Example:**
-```json
-{
-  "mcpServers": {
-    "fleetmind": {
-      "command": "python",
-      "args": ["F:\\github-fleetmind-team\\server.py"]
-    }
-  }
-}
-```
-
-### Continue.dev (VS Code)
-
-**Setup:**
-1. Install Continue extension
-2. Add FleetMind to MCP servers
-3. Reload VS Code
-
-### Cline (VS Code)
-
-**Setup:**
-1. Install Cline extension
-2. Configure MCP server
-3. Start using tools
-
-### Custom Applications
-
-**Any application supporting MCP protocol can integrate!**
-
----
-
-## Known Issues & Limitations
-
-### 1. Prompts Deferred
-**Issue:** FastMCP prompt API changed in v2.13.0
-**Status:** Prompts commented out, tools fully functional
-**Impact:** Low - prompts are optional, tools work perfectly
-**Resolution:** Will add once API confirmed
-
-### 2. Dependency Conflicts (Expected)
-**Issue:** Some packages have version conflicts with Gradio
-**Status:** Warnings only, no functional impact
-**Impact:** None - Gradio being removed
-**Resolution:** Clean install recommended
-
-### 3. Windows Path Issues
-**Issue:** Windows pip sometimes has permission errors
-**Status:** Resolved using `--user` flag
-**Impact:** Installation only
-**Resolution:** Use `pip install --user`
-
----
-
-## Next Steps
-
-### Immediate (Post-Migration)
-1. ✅ Test server with Claude Desktop
-2. ✅ Create sample orders/drivers
-3. ✅ Verify all 18 tools work
-4. ✅ Test resources load correctly
-5. ✅ Archive old code to `archive/`
-
-### Short-Term (This Week)
-1. Add comprehensive unit tests
-2. Add integration tests
-3. Set up CI/CD pipeline
-4. Publish to GitHub
-5. Create video tutorial
-
-### Medium-Term (This Month)
-1. Add prompt templates (once API confirmed)
-2. Add assignment optimization algorithm
-3. Add route optimization for multi-stop deliveries
-4. Create mobile app MCP client
-5. Add real-time tracking via WebSocket
-
-### Long-Term (This Quarter)
-1. Add analytics dashboard
-2. Add driver app integration
-3. Add customer tracking portal
-4. Scale to handle 10,000+ orders/day
-5. Add machine learning for route prediction
-
----
-
-## Migration Checklist
-
-### Pre-Migration
-- [x] Backup database (`pg_dump`)
-- [x] Document current architecture
-- [x] Test all existing features
-- [x] Inventory dependencies
-
-### Migration
-- [x] Create `server.py` with FastMCP
-- [x] Convert all 18 tools
-- [x] Add 2 resources
-- [x] Update `requirements.txt`
-- [x] Create configuration files
-- [x] Test server imports
-- [x] Verify database connectivity
-- [x] Test geocoding service
-
-### Post-Migration
-- [x] Create comprehensive documentation
-- [x] Update README
-- [x] Create migration summary
-- [ ] Archive old code
-- [ ] Test with Claude Desktop
-- [ ] Create demo video
-- [ ] Publish to GitHub
-
----
-
-## Success Metrics
-
-### Code Quality
-- ✅ 46% code reduction achieved
-- ✅ Type hints added to all tools
-- ✅ Logging infrastructure implemented
-- ✅ Error handling preserved
-
-### Functionality
-- ✅ All 18 tools working
-- ✅ 2 resources providing live data
-- ✅ Database operations unchanged
-- ✅ Geocoding fully functional
-
-### Architecture
-- ✅ Industry-standard MCP protocol
-- ✅ Multi-client support
-- ✅ Stateless design
-- ✅ Scalable infrastructure
-
-### Documentation
-- ✅ Comprehensive README_MCP.md
-- ✅ API reference for all tools
-- ✅ Usage examples
-- ✅ Troubleshooting guide
-- ✅ Migration summary
-
----
-
-## Lessons Learned
-
-### What Went Well
-1. **Preserved Business Logic:** All tool handlers worked unchanged
-2. **Clean Separation:** UI/AI provider code easily removed
-3. **FastMCP Framework:** Excellent developer experience
-4. **Database Compatibility:** Zero schema changes needed
-5. **Testing:** Incremental validation caught issues early
-
-### Challenges Faced
-1. **FastMCP API Changes:** Prompt API changed in v2.13.0
-2. **Windows Pip Issues:** Permission errors resolved with `--user`
-3. **Dependency Conflicts:** Expected with Gradio removal
-4. **Documentation:** Needed comprehensive examples for users
-
-### Best Practices Applied
-1. **Incremental Migration:** Completed in 8 phases
-2. **Test-Driven:** Tested each phase before proceeding
-3. **Documentation-First:** Created README before cleanup
-4. **Version Control:** Each phase could be committed separately
-5. **Backwards Compatibility:** .env file unchanged
-
----
-
-## Conclusion
-
-The FleetMind → FastMCP migration was **100% successful**, achieving all objectives:
-
-✅ **Functionality:** All 18 tools operational
-✅ **Architecture:** Industry-standard MCP protocol
-✅ **Code Quality:** 46% reduction while preserving features
-✅ **Multi-Client:** Works with Claude Desktop, Continue, Cline
-✅ **Database:** Zero changes required
-✅ **Documentation:** Comprehensive guides created
-
-**FleetMind is now a production-ready MCP server compatible with any MCP client.**
-
----
-
-**Migration Completed By:** Claude Code (Sonnet 4.5)
-**Date:** November 14, 2025
-**Total Effort:** 26 hours (as planned)
-**Status:** ✅ **PRODUCTION READY**

PROXY_SETUP.md

@@ -1,202 +0,0 @@
-# FleetMind MCP - Multi-Tenant Authentication Proxy
-
-## Overview
-
-This setup enables **true multi-tenant authentication** for FleetMind MCP Server by using an HTTP proxy that captures API keys from client connections and injects them into server requests.
-
-## Architecture
-
-```
-Claude Desktop → Auth Proxy (port 7860) → FastMCP Server (port 7861)
-                 ↓ Captures api_key
-                 ↓ Stores session mapping
-                 ↓ Injects into requests
-```
-
-## Components
-
-### 1. **proxy.py** - Authentication Proxy
-- Listens on port **7860** (public-facing)
-- Captures `api_key` from `/sse?api_key=xxx` connections
-- Maps `session_id` to `api_key`
-- Injects `api_key` into all `/messages/?session_id=xxx` requests
-- Forwards all requests to FastMCP on port 7861
-
-### 2. **app.py** - FastMCP Server
-- Runs on port **7861** (internal only)
-- Receives requests from proxy with API keys injected
-- Handles all MCP protocol operations
-- Authenticates users using injected API keys
-
-### 3. **start_with_proxy.py** - Unified Launcher
-- Starts both FastMCP and proxy together
-- Handles graceful shutdown
-- Monitors both processes
-
-## Quick Start
-
-### Local Development
-
-1. **Start the server with proxy:**
-   ```bash
-   cd fleetmind-mcp
-   python start_with_proxy.py
-   ```
-
-2. **Update Claude Desktop config:**
-   ```json
-   {
-     "mcpServers": {
-       "fleetmind_local": {
-         "command": "npx",
-         "args": [
-           "mcp-remote",
-           "http://localhost:7860/sse?api_key=fm_WGJMC9LO5KqZmqrcswel-CJFXFWLiUqJo21ebm5iKgk"
-         ]
-       }
-     }
-   }
-   ```
-
-3. **Restart Claude Desktop**
-
-4. **Test:**
-   - Connect from Claude Desktop
-   - Run any command (e.g., "count orders")
-   - Check console for: `🔑 Captured API key from SSE connection`
-
-## How It Works
-
-### Step 1: Initial Connection
-```
-Client → GET /sse?api_key=fm_xxx
-Proxy captures api_key, stores as '_pending_api_key'
-Proxy forwards to FastMCP → GET /sse?api_key=fm_xxx
-```
-
-### Step 2: Session Linking
-```
-Client → POST /messages/?session_id=abc123
-Proxy sees session_id
-Proxy links session_id → api_key from pending
-Proxy stores mapping: {abc123: fm_xxx}
-```
-
-### Step 3: Tool Calls
-```
-Client → POST /messages/?session_id=abc123
-Proxy looks up api_key for session abc123
-Proxy injects: /messages/?session_id=abc123&api_key=fm_xxx
-FastMCP receives request with API key
-FastMCP authenticates and executes tool
-```
-
-## Multi-Tenant Support
-
-Each client connection gets its own session with its own API key:
-
-```
-User A → session_1 → api_key_A
-User B → session_2 → api_key_B
-User C → session_3 → api_key_C
-```
-
-All requests are isolated and authenticated independently!
-
-## Configuration
-
-### Environment Variables
-
-**For proxy.py:**
-- `PROXY_PORT` - Proxy listening port (default: 7860)
-- `FASTMCP_PORT` - FastMCP internal port (default: 7861)
-- `FASTMCP_HOST` - FastMCP host (default: localhost)
-
-**For app.py:**
-- `PORT` - FastMCP port (default: 7861)
-- `HOST` - FastMCP host (default: 0.0.0.0)
-
-### Claude Desktop Config
-
-**With API key in URL** (recommended):
-```json
-{
-  "mcpServers": {
-    "fleetmind": {
-      "command": "npx",
-      "args": [
-        "mcp-remote",
-        "http://localhost:7860/sse?api_key=YOUR_API_KEY_HERE"
-      ]
-    }
-  }
-}
-```
-
-## Deployment to Hugging Face
-
-### Option 1: Single Script (Recommended)
-
-1. Create `app_with_proxy.py` that runs both servers
-2. Update `Dockerfile` to install `aiohttp`
-3. Deploy to HuggingFace Space
-
-### Option 2: Process Manager
-
-1. Use `start_with_proxy.py` as entry point
-2. Update `Dockerfile`:
-   ```dockerfile
-   CMD ["python", "start_with_proxy.py"]
-   ```
-
-### Option 3: Supervisor
-
-1. Install supervisor
-2. Configure both processes
-3. Use supervisor as entry point
-
-## Troubleshooting
-
-### Proxy not starting
-- Check port 7860 is available: `netstat -an | findstr 7860`
-- Check Python version: `python --version` (need 3.7+)
-- Install aiohttp: `pip install aiohttp`
-
-### FastMCP not starting
-- Check port 7861 is available
-- Check database connection
-- Check environment variables in `.env`
-
-### API key not captured
-- Check logs for "🔑 Captured API key from SSE connection"
-- Verify API key is in URL: `/sse?api_key=xxx`
-- Check proxy is receiving requests
-
-### Authentication failing
-- Check session linking: "✅ Linked session ... to API key"
-- Verify API key is valid in database
-- Check FastMCP logs for authentication errors
-
-## Advantages
-
-✅ **True multi-tenant** - Each user has their own API key
-✅ **No FastMCP changes** - Works with existing FastMCP code
-✅ **Simple** - Only 200 lines of proxy code
-✅ **Reliable** - Standard HTTP proxy pattern
-✅ **Scalable** - Can add Redis for session storage
-✅ **Deployable** - Works on HuggingFace, AWS, anywhere
-
-## Future Improvements
-
-- [ ] Add Redis for distributed session storage
-- [ ] Add session expiration (TTL)
-- [ ] Add request logging
-- [ ] Add metrics/monitoring
-- [ ] Add rate limiting per API key
-- [ ] Add WebSocket support
-
-## Support
-
-For issues or questions:
-- GitHub: https://github.com/mashrur-rahman-fahim/fleetmind-mcp
-- HuggingFace: https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai

QUICK_START.md

@@ -1,138 +0,0 @@
-# GitHub Actions Setup - Quick Start
-
-## ⚡ Complete These 4 Steps (15 minutes)
-
-### STEP 1: Create GitHub Repository (2 min)
-
-1. Go to: https://github.com/new
-2. Name: `fleetmind-mcp`
-3. Visibility: Public
-4. **DON'T** initialize with README
-5. Click "Create repository"
-6. **SAVE YOUR USERNAME!**
-
----
-
-### STEP 2: Get Hugging Face Token (2 min)
-
-1. Go to: https://huggingface.co/settings/tokens
-2. Click "Create new token"
-3. Name: `GitHub Actions Sync`
-4. Type: **Write**
-5. Click "Generate token"
-6. **COPY THE TOKEN** (starts with `hf_...`)
-
----
-
-### STEP 3: Push to GitHub (3 min)
-
-**Open PowerShell and run:**
-
-```powershell
-# Navigate to repo
-cd F:\github-fleetmind-team
-
-# Add and commit
-git add .
-git commit -m "Initial commit with GitHub Actions"
-
-# Add GitHub remote (REPLACE YOUR-USERNAME!)
-git remote add origin https://github.com/YOUR-USERNAME/fleetmind-mcp.git
-
-# Push to GitHub
-git branch -M main
-git push -u origin main
-```
-
-**You'll be asked for credentials:**
-- Username: Your GitHub username
-- Password: Your GitHub Personal Access Token
-  - Get it at: https://github.com/settings/tokens
-  - Or use GitHub Desktop/CLI for easier auth
-
----
-
-### STEP 4: Add HF_TOKEN to GitHub (3 min)
-
-1. **Go to:** `https://github.com/YOUR-USERNAME/fleetmind-mcp/settings/secrets/actions`
-
-2. **Click:** "New repository secret"
-
-3. **Fill in:**
-   - Name: `HF_TOKEN`
-   - Secret: Paste your Hugging Face token from Step 2
-
-4. **Click:** "Add secret"
-
----
-
-## ✅ Test It Works (5 min)
-
-```powershell
-cd F:\github-fleetmind-team
-
-# Make a small change
-echo "`n## Auto-synced from GitHub" >> README.md
-
-# Commit and push
-git add README.md
-git commit -m "Test: Auto-sync"
-git push origin main
-```
-
-**Check:**
-1. GitHub Actions: `https://github.com/YOUR-USERNAME/fleetmind-mcp/actions`
-   - Should show green checkmark ✅
-2. HF Space: https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-   - Should have new commit
-
----
-
-## 🎉 Done! Now Your Team Can Collaborate
-
-**Team members:**
-
-```bash
-# Clone GitHub repo
-git clone https://github.com/YOUR-USERNAME/fleetmind-mcp.git
-cd fleetmind-mcp
-
-# Make changes
-# ... edit files ...
-
-# Push to GitHub (auto-syncs to HF Space!)
-git add .
-git commit -m "Add feature"
-git push
-```
-
-**Every push to GitHub automatically updates HF Space!** ✨
-
----
-
-## 📋 Add Team Members to GitHub
-
-1. Go to: `https://github.com/YOUR-USERNAME/fleetmind-mcp/settings/access`
-2. Click "Add people"
-3. Enter their GitHub username
-4. Role: **Write**
-5. Click "Add"
-
----
-
-## 🆘 Quick Troubleshooting
-
-**GitHub Actions fails?**
-→ Check HF_TOKEN is set correctly in GitHub Secrets
-
-**Can't push to GitHub?**
-→ Create GitHub Personal Access Token: https://github.com/settings/tokens
-
-**Files too large?**
-→ Use Git LFS (see full guide)
-
----
-
-**Full documentation:** See `GITHUB_ACTIONS_SETUP.md`
-
-**Ready to build!** 🚀

README_MCP.md

@@ -1,497 +0,0 @@
-# FleetMind MCP Server
-
-**Industry-standard Model Context Protocol server for AI-powered delivery dispatch management**
-
-[![FastMCP](https://img.shields.io/badge/FastMCP-2.13.0-blue)](https://github.com/jlowin/fastmcp)
-[![Python](https://img.shields.io/badge/Python-3.10%2B-brightgreen)](https://www.python.org/)
-[![License](https://img.shields.io/badge/License-MIT-yellow)](LICENSE)
-
----
-
-## Overview
-
-FleetMind MCP Server provides 18 AI tools and 2 real-time resources for managing delivery dispatch operations through any MCP-compatible client (Claude Desktop, Continue, Cline, etc.).
-
-**What is MCP?**
-The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. Think of it as a universal API for AI agents.
-
----
-
-## Quick Start
-
-### 1. Installation
-
-```bash
-# Clone the repository
-git clone https://github.com/your-org/fleetmind-mcp.git
-cd fleetmind-mcp
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Configure environment variables
-cp .env.example .env
-# Edit .env with your credentials
-```
-
-### 2. Configure Environment
-
-Edit `.env` file:
-
-```ini
-# Database (required)
-DB_HOST=your-postgres-host.com
-DB_PORT=5432
-DB_NAME=fleetmind
-DB_USER=your_db_user
-DB_PASSWORD=your_db_password
-
-# Google Maps API (required for geocoding)
-GOOGLE_MAPS_API_KEY=your_google_maps_key
-```
-
-### 3. Test the Server
-
-```bash
-# Test server imports and database connectivity
-python -c "import server; print('FleetMind MCP Server ready!')"
-```
-
-### 4. Run with Claude Desktop
-
-Add to your Claude Desktop config (`claude_desktop_config.json`):
-
-```json
-{
-  "mcpServers": {
-    "fleetmind": {
-      "command": "python",
-      "args": ["F:\\path\\to\\fleetmind-mcp\\server.py"],
-      "env": {
-        "GOOGLE_MAPS_API_KEY": "your_api_key",
-        "DB_HOST": "your-host.com",
-        "DB_NAME": "fleetmind",
-        "DB_USER": "your_user",
-        "DB_PASSWORD": "your_password"
-      }
-    }
-  }
-}
-```
-
-Restart Claude Desktop. You'll now see FleetMind tools available!
-
----
-
-## Architecture
-
-### **Before (Gradio UI):**
-```
-User → Gradio Web UI → ChatEngine → Gemini/Claude API → Tools → Database
-```
-
-### **After (MCP Protocol):**
-```
-User → Claude Desktop (or any MCP client) → MCP Protocol → FleetMind Server → Tools → Database
-       └→ Continue.dev ────────────────────────┘
-       └→ Cline ───────────────────────────────┘
-       └→ Custom Apps ──────────────────────────┘
-```
-
-**Benefits:**
-- ✅ Use from multiple clients (Claude Desktop, VS Code, mobile apps)
-- ✅ 46% less code (no UI, no provider abstractions)
-- ✅ Industry-standard protocol (MCP)
-- ✅ Better testing (isolated tools)
-- ✅ Scalable architecture
-
----
-
-## Features
-
-### **18 AI Tools**
-
-#### Order Management (10 tools)
-- `geocode_address` - Convert addresses to GPS coordinates
-- `calculate_route` - Find shortest route between locations
-- `create_order` - Create new delivery orders
-- `count_orders` - Count orders with filters
-- `fetch_orders` - Retrieve orders with pagination
-- `get_order_details` - Get complete order information
-- `search_orders` - Search by customer/ID
-- `get_incomplete_orders` - List active deliveries
-- `update_order` - Update order details (auto-geocoding)
-- `delete_order` - Permanently remove orders
-
-#### Driver Management (8 tools)
-- `create_driver` - Onboard new drivers
-- `count_drivers` - Count drivers with filters
-- `fetch_drivers` - Retrieve drivers with pagination
-- `get_driver_details` - Get driver info + reverse-geocoded location
-- `search_drivers` - Search by name/plate/ID
-- `get_available_drivers` - List drivers ready for dispatch
-- `update_driver` - Update driver information
-- `delete_driver` - Remove drivers from fleet
-
-### **2 Real-Time Resources**
-
-- `orders://all` - Live orders dataset (last 30 days, max 1000)
-- `drivers://all` - Live drivers dataset with locations
-
-Resources provide AI assistants with contextual data for smarter responses.
-
----
-
-## Usage Examples
-
-### Example 1: Create an Order
-
-**User (in Claude Desktop):**
-"Create an urgent delivery order for Sarah Johnson at 456 Oak Ave, San Francisco CA. Phone: 555-1234."
-
-**Claude automatically:**
-1. Calls `geocode_address("456 Oak Ave, San Francisco CA")`
-2. Gets coordinates: `(37.7749, -122.4194)`
-3. Calls `create_order(customer_name="Sarah Johnson", delivery_address="456 Oak Ave, SF CA 94103", delivery_lat=37.7749, delivery_lng=-122.4194, customer_phone="555-1234", priority="urgent")`
-4. Returns: `"Order ORD-20251114163800 created successfully!"`
-
-### Example 2: Assign Driver
-
-**User:**
-"Assign order ORD-20251114163800 to the nearest available driver"
-
-**Claude automatically:**
-1. Calls `get_order_details("ORD-20251114163800")` → Gets delivery location
-2. Calls `get_available_drivers(limit=10)` → Lists available drivers
-3. Calls `calculate_route()` for each driver → Finds nearest
-4. Calls `update_order(order_id="ORD-20251114163800", assigned_driver_id="DRV-...", status="assigned")`
-5. Returns: `"Order assigned to John Smith (DRV-20251110120000), 5.2 km away, ETA 12 mins"`
-
-### Example 3: Track Orders
-
-**User:**
-"Show me all urgent orders that haven't been delivered yet"
-
-**Claude automatically:**
-1. Calls `fetch_orders(status="pending", priority="urgent")` OR
-2. Calls `fetch_orders(status="in_transit", priority="urgent")`
-3. Returns formatted list with customer names, addresses, and deadlines
-
----
-
-## API Reference
-
-### Tool: `create_order`
-
-Create a new delivery order.
-
-**Parameters:**
-- `customer_name` (string, required): Full name
-- `delivery_address` (string, required): Complete address
-- `delivery_lat` (float, required): Latitude from geocoding
-- `delivery_lng` (float, required): Longitude from geocoding
-- `customer_phone` (string, optional): Phone number
-- `customer_email` (string, optional): Email address
-- `priority` (enum, optional): `standard` | `express` | `urgent` (default: `standard`)
-- `weight_kg` (float, optional): Package weight (default: 5.0)
-- `special_instructions` (string, optional): Delivery notes
-- `time_window_end` (string, optional): Deadline in ISO format (default: +6 hours)
-
-**Returns:**
-```json
-{
-  "success": true,
-  "order_id": "ORD-20251114163800",
-  "status": "pending",
-  "customer": "Sarah Johnson",
-  "address": "456 Oak Ave, San Francisco CA 94103",
-  "deadline": "2025-11-14T22:38:00",
-  "priority": "urgent",
-  "message": "Order created successfully!"
-}
-```
-
-### Tool: `calculate_route`
-
-Calculate shortest route between two locations.
-
-**Parameters:**
-- `origin` (string, required): Starting location (address or "lat,lng")
-- `destination` (string, required): Ending location (address or "lat,lng")
-- `mode` (enum, optional): `driving` | `walking` | `bicycling` | `transit` (default: `driving`)
-- `alternatives` (boolean, optional): Return multiple routes (default: false)
-- `include_steps` (boolean, optional): Include turn-by-turn directions (default: false)
-
-**Returns:**
-```json
-{
-  "success": true,
-  "origin": "San Francisco City Hall, CA 94102, USA",
-  "destination": "Oakland Airport, CA 94621, USA",
-  "distance": {"meters": 25400, "text": "25.4 km"},
-  "duration": {"seconds": 1680, "text": "28 mins"},
-  "mode": "driving",
-  "route_summary": "I-880 N",
-  "confidence": "high (Google Maps API)"
-}
-```
-
-### Resource: `orders://all`
-
-Real-time orders dataset for AI context.
-
-**Contains:** All orders from last 30 days (max 1000)
-
-**Fields:** order_id, customer_name, delivery_address, status, priority, created_at, assigned_driver_id
-
-**Usage:** AI automatically references this when answering questions like "How many pending orders?" or "What's the oldest unassigned order?"
-
-### Resource: `drivers://all`
-
-Real-time drivers dataset with current locations.
-
-**Contains:** All drivers sorted alphabetically
-
-**Fields:** driver_id, name, status, vehicle_type, vehicle_plate, current_lat, current_lng, last_location_update
-
-**Usage:** AI automatically references this for questions like "How many active drivers?" or "Which driver is closest to downtown?"
-
----
-
-## Database Schema
-
-### `orders` table (26 columns)
-
-```sql
-CREATE TABLE orders (
-    order_id VARCHAR(50) PRIMARY KEY,
-    customer_name VARCHAR(255) NOT NULL,
-    customer_phone VARCHAR(20),
-    customer_email VARCHAR(255),
-    delivery_address TEXT NOT NULL,
-    delivery_lat DECIMAL(10,8),
-    delivery_lng DECIMAL(11,8),
-    status VARCHAR(20) CHECK (status IN ('pending','assigned','in_transit','delivered','failed','cancelled')),
-    priority VARCHAR(20) CHECK (priority IN ('standard','express','urgent')),
-    time_window_end TIMESTAMP,
-    assigned_driver_id VARCHAR(50),
-    payment_status VARCHAR(20) CHECK (payment_status IN ('pending','paid','cod')),
-    weight_kg DECIMAL(10,2),
-    special_instructions TEXT,
-    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-    -- ... additional fields
-);
-```
-
-### `drivers` table (15 columns)
-
-```sql
-CREATE TABLE drivers (
-    driver_id VARCHAR(50) PRIMARY KEY,
-    name VARCHAR(255) NOT NULL,
-    phone VARCHAR(20),
-    email VARCHAR(255),
-    status VARCHAR(20) CHECK (status IN ('active','busy','offline','unavailable')),
-    vehicle_type VARCHAR(50),
-    vehicle_plate VARCHAR(20),
-    capacity_kg DECIMAL(10,2),
-    skills JSONB,
-    current_lat DECIMAL(10,8),
-    current_lng DECIMAL(11,8),
-    last_location_update TIMESTAMP,
-    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-);
-```
-
----
-
-## Development
-
-### Project Structure
-
-```
-fleetmind-mcp/
-├── server.py              # Main MCP server (882 lines)
-├── pyproject.toml         # Package configuration
-├── mcp_config.json        # MCP metadata
-├── requirements.txt       # Dependencies
-├── .env                   # Environment variables
-│
-├── chat/
-│   ├── tools.py          # 18 tool handlers (2099 lines)
-│   └── geocoding.py      # Geocoding service (429 lines)
-│
-├── database/
-│   ├── connection.py     # Database layer (221 lines)
-│   └── schema.py         # Schema definitions (213 lines)
-│
-├── logs/                 # Server logs
-└── docs/                 # Documentation
-```
-
-### Running Tests
-
-```bash
-# Install test dependencies
-pip install pytest pytest-asyncio
-
-# Run tests
-pytest tests/
-```
-
-### Testing with MCP Inspector
-
-```bash
-# Official MCP protocol testing tool
-npx @modelcontextprotocol/inspector python server.py
-```
-
----
-
-## Deployment
-
-### Option 1: Local Development
-
-```bash
-python server.py
-```
-
-### Option 2: Docker Container
-
-```dockerfile
-FROM python:3.11-slim
-WORKDIR /app
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-COPY . .
-CMD ["python", "server.py"]
-```
-
-```bash
-docker build -t fleetmind-mcp .
-docker run -d --env-file .env fleetmind-mcp
-```
-
-### Option 3: Production Server
-
-For production, use a process manager like `supervisord` or `systemd`:
-
-```ini
-# /etc/systemd/system/fleetmind-mcp.service
-[Unit]
-Description=FleetMind MCP Server
-After=network.target
-
-[Service]
-Type=simple
-User=fleetmind
-WorkingDirectory=/opt/fleetmind-mcp
-Environment="PATH=/opt/fleetmind-mcp/venv/bin"
-EnvironmentFile=/opt/fleetmind-mcp/.env
-ExecStart=/opt/fleetmind-mcp/venv/bin/python server.py
-Restart=always
-
-[Install]
-WantedBy=multi-user.target
-```
-
----
-
-## Troubleshooting
-
-### Error: "Cannot import name 'UserMessage'"
-
-**Solution:** Prompts are currently disabled pending FastMCP API confirmation. Tools and resources work perfectly.
-
-### Error: "Database connection failed"
-
-**Check:**
-1. `.env` file has correct credentials
-2. PostgreSQL server is running
-3. Database `fleetmind` exists
-4. Network allows connection (check firewall/security groups)
-
-### Error: "Geocoding failed"
-
-**Check:**
-1. `GOOGLE_MAPS_API_KEY` is set in `.env`
-2. API key has Geocoding API enabled
-3. API key has sufficient quota
-
-**Fallback:** Server automatically uses mock geocoding if API unavailable.
-
----
-
-## Migration from Gradio UI
-
-### What Changed?
-
-| Component | Gradio Version | MCP Version |
-|-----------|----------------|-------------|
-| UI | Gradio web interface | Any MCP client |
-| AI Provider | Gemini/Claude via API | Client handles AI |
-| Tool Execution | chat/tools.py handlers | Same handlers |
-| Database | PostgreSQL/Neon | Same database |
-| Geocoding | Google Maps API | Same API |
-
-### What Stayed the Same?
-
-- ✅ All 18 tool handlers (unchanged)
-- ✅ Database schema (identical)
-- ✅ Geocoding logic (same)
-- ✅ Business logic (preserved)
-- ✅ .env configuration (compatible)
-
-### Migration Steps
-
-1. **Backup your data:** `pg_dump fleetmind > backup.sql`
-2. **Install MCP dependencies:** `pip install -r requirements.txt`
-3. **Test server:** `python -c "import server"`
-4. **Configure Claude Desktop:** Add server to `claude_desktop_config.json`
-5. **Test with Claude:** Create a test order
-6. **Archive old code:** Move `ui/`, `chat/providers/`, `chat/chat_engine.py` to `archive/`
-
----
-
-## Contributing
-
-We welcome contributions! Please:
-
-1. Fork the repository
-2. Create a feature branch (`git checkout -b feature/amazing-feature`)
-3. Commit your changes (`git commit -m 'Add amazing feature'`)
-4. Push to the branch (`git push origin feature/amazing-feature`)
-5. Open a Pull Request
-
----
-
-## License
-
-MIT License - see [LICENSE](LICENSE) file for details.
-
----
-
-## Support
-
-- **Issues:** https://github.com/your-org/fleetmind-mcp/issues
-- **Documentation:** https://docs.fleetmind.com
-- **Discord:** https://discord.gg/fleetmind
-
----
-
-## Roadmap
-
-- [x] Convert all 18 tools to MCP format
-- [x] Add 2 real-time resources (orders, drivers)
-- [ ] Add prompt templates (pending FastMCP API confirmation)
-- [ ] Add assignment optimization algorithm
-- [ ] Add route optimization for multi-stop deliveries
-- [ ] Add real-time driver tracking via WebSocket
-- [ ] Add analytics dashboard
-- [] Mobile app MCP client
-
----
-
-**Built with ❤️ using [FastMCP](https://github.com/jlowin/fastmcp)**

ROUTES_API_IMPLEMENTATION.md

@@ -1,305 +0,0 @@
-# Google Routes API Implementation - Complete
-
-## Summary
-
-Successfully integrated Google Routes API to replace mock routing calculations with real-time traffic data from Google Maps.
-
-## What Was Implemented
-
-### 1. Routes API Integration (`chat/tools.py`)
-
-Added two new functions:
-
-#### `_location_to_latlng()` (lines 798-824)
-Helper function to convert addresses or coordinates to lat/lng format required by Routes API.
-- Detects if input is already "lat,lng" format
-- Otherwise geocodes the address using existing geocoding service
-- Returns `{"latitude": float, "longitude": float}` dict
-
-#### `_calculate_route_routes_api()` (lines 827-1004)
-Complete Routes API implementation:
-- Makes POST requests to `https://routes.googleapis.com/directions/v2:computeRoutes`
-- Uses existing `GOOGLE_MAPS_API_KEY` from environment
-- Sets proper headers (`X-Goog-Api-Key`, `X-Goog-FieldMask`)
-- Requests traffic-aware routing for driving mode
-- Supports all travel modes: DRIVE, WALK, BICYCLE, TRANSIT
-- Returns alternative routes if requested
-- Includes turn-by-turn directions if requested
-- Returns data in same format as existing functions (backward compatible)
-
-### 2. Triple Fallback Logic (`chat/tools.py` lines 680-698)
-
-Updated `handle_calculate_route()` with intelligent fallback chain:
-```
-1. Try Routes API (recommended, most accurate)
-   ↓ (if fails)
-2. Try Directions API (legacy fallback)
-   ↓ (if fails)
-3. Use Mock calculation (offline mode)
-```
-
-Each fallback is logged clearly so you know which API is being used.
-
-### 3. Documentation Update (`.env.example`)
-
-Updated comments to explain:
-- Routes API is recommended (most accurate)
-- Directions API is legacy fallback
-- System tries Routes API first automatically
-- All three APIs need to be enabled in Google Cloud Console
-
-## Test Results
-
-### Dhaka Route Test (Successful!)
-
-**Route:** Ahsanullah University → Tejgaon College
-
-| Method | Distance | Time | Notes |
-|--------|----------|------|-------|
-| **Routes API** | **5.0 km** | **13 minutes** | ✅ Real-time traffic data |
-| Mock Algorithm | 2.5 km | 57 minutes | ❌ 2x over-estimate |
-| Real-World Avg | ~2.5 km | 31 minutes | Based on 4.8 km/h city average |
-
-**Key Findings:**
-
-1. **Routes API Working!**
-   - Successfully connected to Google Routes API
-   - Confidence: "high (Routes API with real-time traffic)"
-   - Route via: "Shaheed Tajuddin Ahmed Ave"
-
-2. **Distance Difference Explained:**
-   - Straight-line: 2.5 km
-   - Actual road route: **5.0 km** (real roads with turns, one-ways)
-   - This is realistic - city roads are never straight lines!
-
-3. **Time Estimate Analysis:**
-   - Routes API: 13 minutes for 5 km = 22.7 km/h average
-   - This is faster than 4.8 km/h city-wide average because:
-     - Google routes through less congested roads
-     - May be using highways/main roads
-     - Real-time traffic might be lighter than worst-case
-     - Current traffic conditions vs statistical average
-
-4. **Improvement Over Mock:**
-   - Mock estimated: 57 minutes (way too conservative)
-   - Routes API: 13 minutes (real data)
-   - **4.4x more accurate!**
-
-## How It Works
-
-### API Flow
-
-```
-User requests route
-    ↓
-handle_calculate_route()
-    ↓
-Check if API key exists?
-    ├─ NO → Use mock calculation
-    └─ YES → Try Routes API
-            ↓
-        Routes API succeeds?
-            ├─ YES → Return real traffic data ✅
-            └─ NO → Try Directions API (legacy)
-                    ↓
-                Directions API succeeds?
-                    ├─ YES → Return traffic data
-                    └─ NO → Use mock calculation
-```
-
-### Routes API Request Format
-
-```json
-POST https://routes.googleapis.com/directions/v2:computeRoutes
-
-Headers:
-  Content-Type: application/json
-  X-Goog-Api-Key: {YOUR_API_KEY}
-  X-Goog-FieldMask: routes.duration,routes.distanceMeters,...
-
-Body:
-{
-  "origin": {"location": {"latLng": {"latitude": 23.76, "longitude": 90.38}}},
-  "destination": {"location": {"latLng": {"latitude": 23.75, "longitude": 90.39}}},
-  "travelMode": "DRIVE",
-  "routingPreference": "TRAFFIC_AWARE",
-  "computeAlternativeRoutes": true
-}
-```
-
-### Response Mapping
-
-Routes API returns different format than Directions API. We map it to maintain compatibility:
-
-| Routes API Field | Our Format |
-|------------------|------------|
-| `distanceMeters` | `distance.meters` + `distance.text` |
-| `duration` ("795s") | `duration.seconds` + `duration.text` |
-| `description` | `route_summary` |
-| `legs[].steps[]` | `steps[]` (if requested) |
-| `routes[1:]` | `alternatives[]` (if requested) |
-
-## Benefits Achieved
-
-### 1. Accuracy
-- ✅ Real-time traffic data from Google
-- ✅ Actual road distances (not straight-line estimates)
-- ✅ Traffic-aware routing (considers current conditions)
-- ✅ 4.4x more accurate than mock algorithm
-
-### 2. Features
-- ✅ Alternative routes available
-- ✅ Turn-by-turn directions available
-- ✅ Works with all travel modes (car, motorcycle, bicycle, walk, transit)
-- ✅ City-specific routing (Dhaka, San Francisco, etc.)
-
-### 3. Reliability
-- ✅ Triple fallback chain ensures always-working system
-- ✅ No breaking changes - existing code works unchanged
-- ✅ Clear logging shows which API is being used
-- ✅ Graceful degradation if APIs are unavailable
-
-### 4. Future-Proof
-- ✅ Uses Google's recommended Routes API
-- ✅ Access to new features (tolls, eco-routes, etc.)
-- ✅ Better performance and accuracy over time
-- ✅ Still supports legacy Directions API
-
-## Code Changes Summary
-
-### Files Modified
-
-1. **`chat/tools.py`**
-   - Added `_location_to_latlng()` helper (27 lines)
-   - Added `_calculate_route_routes_api()` function (178 lines)
-   - Updated `handle_calculate_route()` fallback logic (18 lines)
-   - Total: ~220 lines added
-
-2. **`.env.example`**
-   - Updated Google Maps API documentation (5 lines)
-
-### Files Not Changed
-
-- ✅ `chat/geocoding.py` - No changes needed
-- ✅ `chat/route_optimizer.py` - Works transparently
-- ✅ `chat/weather.py` - No changes needed
-- ✅ `server.py` - No changes needed
-- ✅ `requirements.txt` - No new dependencies (uses existing `requests`)
-
-## Usage Examples
-
-### Basic Route Calculation
-
-```python
-from chat.tools import handle_calculate_route
-
-result = handle_calculate_route({
-    "origin": "Ahsanullah University, Dhaka",
-    "destination": "Tejgaon College, Dhaka",
-    "vehicle_type": "car"
-})
-
-print(f"Distance: {result['distance']['text']}")
-print(f"Duration: {result['duration_in_traffic']['text']}")
-print(f"Confidence: {result['confidence']}")
-# Output:
-# Distance: 5.0 km
-# Duration: 13 mins
-# Confidence: high (Routes API with real-time traffic)
-```
-
-### With Alternative Routes
-
-```python
-result = handle_calculate_route({
-    "origin": "Start Address",
-    "destination": "End Address",
-    "alternatives": True
-})
-
-for i, alt in enumerate(result.get('alternatives', []), 1):
-    print(f"Route {i}: {alt['duration']} via {alt['route_summary']}")
-```
-
-### With Turn-by-Turn Directions
-
-```python
-result = handle_calculate_route({
-    "origin": "Start",
-    "destination": "End",
-    "include_steps": True
-})
-
-for step in result.get('steps', []):
-    print(f"- {step['instruction']} ({step['distance']}m)")
-```
-
-## Verification Logs
-
-From successful test run:
-
-```
-INFO:chat.tools:Attempting Routes API (recommended)
-INFO:chat.tools:Calling Routes API: Ahsanullah University... → Tejgaon College... (mode: DRIVE)
-INFO:chat.tools:Routes API: 5.0 km, 13 mins
-```
-
-This confirms:
-- ✅ Routes API is being called
-- ✅ Request is successful
-- ✅ Real-time traffic data is returned
-- ✅ Results are accurate
-
-## Next Steps & Recommendations
-
-### Immediate
-1. ✅ **COMPLETE** - Routes API is fully integrated and working
-2. ✅ **COMPLETE** - Tested with real Dhaka route
-3. ✅ **COMPLETE** - Fallback logic implemented
-
-### Optional Enhancements (Future)
-
-1. **Add More City Profiles**
-   - Could add Mumbai, Jakarta, Manila (other highly congested cities)
-   - Routes API handles this automatically with real-time data
-
-2. **Cache Recent Routes**
-   - Cache responses for 5-10 minutes to reduce API calls
-   - Good for repeated queries to same route
-
-3. **Add Toll Information**
-   - Routes API supports toll data
-   - Add `tolls.tollPasses` to field mask
-
-4. **Add Eco-Friendly Routes**
-   - Routes API has `routingPreference: FUEL_EFFICIENT`
-   - Could offer as alternative route option
-
-5. **Monitor API Usage**
-   - Log API calls for billing tracking
-   - Alert if approaching quota limits
-
-## Conclusion
-
-The Google Routes API integration is **complete and working perfectly**!
-
-**Before:**
-- Mock algorithm estimated 57 minutes for 2.5 km (2x too slow)
-- No real traffic data
-- Unrealistic urban traffic modeling
-
-**After:**
-- Routes API provides real-time data: 13 minutes for actual 5 km route
-- Real road distances and traffic conditions
-- 4.4x more accurate estimates
-- Alternative routes available
-- Turn-by-turn directions available
-
-The system now provides **production-ready, accurate routing** for FleetMind dispatch operations using real Google Maps data with intelligent fallback handling.
-
----
-
-**Implementation Date:** 2025-11-15
-**Status:** ✅ Complete and Tested
-**API:** Google Routes API v2
-**Backward Compatible:** Yes (triple fallback to Directions API and Mock)

TEAM_COLLABORATION_GUIDE.md

@@ -1,305 +0,0 @@
-# Team Collaboration Guide - MCP 1st Birthday Hackathon
-
-## Overview
-
-This guide explains how to add team partners to your FleetMind MCP hackathon submission on Hugging Face Spaces.
-
-**Hackathon Details:**
-- **Team Size:** 2-5 members allowed
-- **Your Space:** https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-- **Submission Deadline:** November 30, 2025 (11:59 PM UTC)
-- **Track:** MCP in Action (Track 01)
-
----
-
-## Method 1: Add Team Members via README Documentation (EASIEST)
-
-For hackathon submission purposes, you MUST document your team in the Space's README.md file.
-
-### Steps:
-
-1. **Edit the Team Section in README.md**
-
-   The Team section is already added to your README. Update it with your actual team information:
-
-   ```markdown
-   ## 👥 Team
-
-   **Team Name:** FleetMind AI Team
-
-   **Team Members:**
-   - **John Doe** - [@johndoe](https://huggingface.co/johndoe) - Lead Developer & AI Architect
-   - **Jane Smith** - [@janesmith](https://huggingface.co/janesmith) - Database Engineer
-   - **Alex Chen** - [@alexchen](https://huggingface.co/alexchen) - UI/UX Developer
-   ```
-
-2. **Replace Placeholders:**
-   - `[Your Team Name]` → Your actual team name
-   - `[Your Name]` → Team member's real name
-   - `@your-hf-username` → Their Hugging Face username
-   - `[Role]` → Their role in the project
-
-3. **Commit and Push:**
-
-   ```bash
-   cd F:\fleetmind-mcp\fleetmind-dispatch-ai
-   git add README.md
-   git commit -m "Update team member information"
-   git push
-   ```
-
----
-
-## Method 2: Grant Git Access to Team Partners (TECHNICAL COLLABORATION)
-
-If your team partners need to push code directly to the Space, they need Git access.
-
-### Option A: Via Organization Membership
-
-Since your Space is owned by the **MCP-1st-Birthday organization**, team members can:
-
-1. **Join the Organization:**
-   - Go to https://huggingface.co/MCP-1st-Birthday
-   - Click **"Request to join this org"** (top right)
-   - Fill out the registration form
-   - Wait for admin approval
-
-2. **Verify Access:**
-   - Once approved, they'll automatically have access based on organization permissions
-   - Organization members with "write" or "contributor" roles can collaborate
-
-### Option B: Direct Collaborator Access
-
-If you have admin rights to your Space:
-
-1. **Go to Space Settings:**
-   - Visit: https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai/settings
-   - Look for "Collaborators" or "Access" section
-
-2. **Add Collaborators by Username:**
-   - Enter their Hugging Face username
-   - Set their permission level (read/write/admin)
-   - Send invitation
-
----
-
-## Method 3: Collaborate via Pull Requests (SAFEST)
-
-Team members can contribute without direct write access using Pull Requests.
-
-### Steps:
-
-1. **Team Partner Forks/Duplicates the Space:**
-   - They go to your Space page
-   - Click the three dots (top right) → "Duplicate this Space"
-   - Make changes in their forked version
-
-2. **Create Pull Request:**
-   - After making changes, they create a Pull Request
-   - You review and merge their changes
-
-3. **Enable Pull Requests:**
-   - Go to Space Settings
-   - Ensure "Pull Requests" are enabled
-
----
-
-## Method 4: Share Git Credentials (NOT RECOMMENDED)
-
-While technically possible, sharing your Git credentials is NOT recommended for security reasons. Use Methods 1-3 instead.
-
----
-
-## Technical Setup for Team Partners
-
-Once your team partners have access, they need to set up their local environment:
-
-### 1. Clone the Space
-
-```bash
-# Navigate to desired directory
-cd F:\
-
-# Clone the Space
-git clone https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-
-# Enter directory
-cd fleetmind-dispatch-ai
-```
-
-### 2. Authenticate with Hugging Face
-
-They need a Hugging Face access token:
-
-1. **Get Token:**
-   - Go to https://huggingface.co/settings/tokens
-   - Click "New token"
-   - Create a token with "write" permissions
-
-2. **Login via CLI:**
-   ```bash
-   # Install Hugging Face CLI
-   pip install huggingface_hub
-
-   # Login (they'll be prompted for token)
-   huggingface-cli login
-   ```
-
-3. **Or Configure Git Credentials:**
-   ```bash
-   git config credential.helper store
-   ```
-
-   When they push for the first time, Git will ask for:
-   - Username: Their HF username
-   - Password: Their HF access token (NOT their account password)
-
-### 3. Make Changes and Push
-
-```bash
-# Make changes to files
-# ...
-
-# Stage changes
-git add .
-
-# Commit
-git commit -m "Add feature X"
-
-# Push to Space
-git push
-```
-
----
-
-## Hugging Face Spaces Access Levels
-
-Understanding permission levels helps you decide what access to grant:
-
-| Role | Can View | Can Clone | Can Push | Can Manage Settings |
-|------|----------|-----------|----------|---------------------|
-| **Public** | ✅ | ✅ | ❌ | ❌ |
-| **Read** | ✅ | ✅ | ❌ | ❌ |
-| **Contributor** | ✅ | ✅ | Via PR only | ❌ |
-| **Write** | ✅ | ✅ | ✅ | ❌ |
-| **Admin** | ✅ | ✅ | ✅ | ✅ |
-
----
-
-## Hackathon Submission Requirements
-
-For your team submission to be valid, ensure:
-
-### Required in README.md:
-- ✅ **Team section** with all member names and HF usernames
-- ✅ **Track tag:** `mcp-in-action-track-01` (already added)
-- ✅ **Demo video link** (1-5 minutes) - TODO
-- ✅ **Social media post link** - TODO
-
-### Required in Space:
-- ✅ Published as a Space in MCP-1st-Birthday organization
-- ✅ App.py entry point (already created)
-- ✅ Working Gradio interface
-- ✅ All code created during hackathon period (Nov 14-30, 2025)
-
----
-
-## Troubleshooting
-
-### "Permission denied" when team partner tries to push
-
-**Solution:**
-1. Verify they're added as collaborators with write access
-2. Check they're using the correct HF access token (not account password)
-3. Ensure token has "write" permissions
-
-### "Repository not found" error
-
-**Solution:**
-1. Verify the Space URL is correct
-2. Check they have at least "read" access
-3. Ensure they're logged in: `huggingface-cli whoami`
-
-### Team member can't see the Space
-
-**Solution:**
-1. If Space is private, add them as collaborators
-2. If Space is public (recommended for hackathon), they should see it
-3. Check organization membership status
-
----
-
-## Best Practices for Team Collaboration
-
-1. **Communication:**
-   - Use Discord channel: agents-mcp-hackathon-winter25
-   - Create a team group chat
-   - Document decisions in README
-
-2. **Code Management:**
-   - Pull before making changes: `git pull`
-   - Commit frequently with clear messages
-   - Test locally before pushing
-
-3. **Task Distribution:**
-   - Assign specific files/features to team members
-   - Avoid editing the same files simultaneously
-   - Use TODO comments in code
-
-4. **Version Control:**
-   - Create branches for major features (optional)
-   - Use descriptive commit messages
-   - Review each other's code
-
----
-
-## Quick Reference Commands
-
-```bash
-# Clone the Space
-git clone https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-
-# Check current status
-git status
-
-# Pull latest changes
-git pull
-
-# Add all changes
-git add .
-
-# Commit with message
-git commit -m "Description of changes"
-
-# Push to Space
-git push
-
-# Check who you're logged in as
-huggingface-cli whoami
-
-# Login to HF
-huggingface-cli login
-```
-
----
-
-## Support & Resources
-
-- **Hackathon Discord:** agents-mcp-hackathon-winter25 channel
-- **Office Hours:** November 17-28 with Gradio team
-- **HF Documentation:** https://huggingface.co/docs/hub/spaces
-- **Git Documentation:** https://git-scm.com/doc
-
----
-
-## Timeline Reminder
-
-- **Start Date:** November 14, 2025
-- **Submission Deadline:** November 30, 2025 (11:59 PM UTC)
-- **Days Remaining:** Check dashboard regularly
-
-Make sure all team members are added to README.md before the deadline!
-
----
-
-**Good luck with your hackathon submission! 🚀**

TECHNICAL_COMPARISON.md

@@ -1,779 +0,0 @@
-```
-╔══════════════════════════════════════════════════════════════════════════════╗
-║                                                                              ║
-║                    "AI will never beat the human brain"                      ║
-║                                                                              ║
-║                    Innovation requires human creativity,                     ║
-║                    intuition, and the wisdom of experience.                  ║
-║                                                                              ║
-╚══════════════════════════════════════════════════════════════════════════════╝
-```
-
----
-
-# Multi-Tenant Authentication for FastMCP Server
-## Technical Comparison: Middleware vs Proxy Approach
-
-**Document Version:** 1.0
-**Date:** November 25, 2024
-**Project:** FleetMind MCP Server
-**Author:** Development Team
-**Status:** Implementation Complete
-
----
-
-## Executive Summary
-
-This document compares two approaches for implementing multi-tenant API key authentication in a FastMCP-based Model Context Protocol (MCP) server deployed on HuggingFace Spaces. The initial middleware-based approach faced fundamental compatibility issues with FastMCP 2.13.1, leading to the development of a successful HTTP proxy solution.
-
-**Key Finding:** The proxy-based architecture successfully enables multi-tenant authentication by intercepting and augmenting HTTP requests before they reach the FastMCP server, without requiring framework modifications.
-
----
-
-## 1. Problem Statement
-
-### Business Requirement
-Enable multiple users to connect to a shared FleetMind MCP server deployment, each authenticated with their own API key for data isolation and access control.
-
-### Technical Challenge
-The Model Context Protocol (MCP) uses Server-Sent Events (SSE) for initial connection establishment, where the client provides an API key in the connection URL:
-
-```
-GET /sse?api_key=fm_USER_KEY_HERE
-```
-
-However, subsequent tool execution requests arrive without the API key:
-
-```
-POST /messages/?session_id=abc123
-```
-
-**Challenge:** How to link the initial API key to the ongoing session for authentication of tool calls?
-
-### Constraints
-1. FastMCP framework (v2.13.1) in use
-2. Deployment target: HuggingFace Spaces (Docker)
-3. Must support concurrent users with different API keys
-4. Minimal code changes preferred
-5. Production-ready reliability required
-
----
-
-## 2. Approach 1: Middleware-Based Solution (FAILED)
-
-### 2.1 Concept
-
-Implement a Starlette middleware that intercepts HTTP requests inside the FastMCP application to capture and inject API keys.
-
-### 2.2 Architecture
-
-```
-┌─────────────────────────────────────────────┐
-│         Claude Desktop Client               │
-└────────────────┬────────────────────────────┘
-                 │
-                 │ 1. GET /sse?api_key=xxx
-                 ▼
-┌─────────────────────────────────────────────┐
-│         FastMCP Server (Port 7860)          │
-│  ┌───────────────────────────────────────┐  │
-│  │   ApiKeyCaptureMiddleware (TRIED)    │  │
-│  │   - Capture api_key from /sse        │  │
-│  │   - Store in _session_auth_store     │  │
-│  │   - Link to session_id               │  │
-│  └───────────────────────────────────────┘  │
-│  ┌───────────────────────────────────────┐  │
-│  │         FastMCP Request Handler       │  │
-│  └───────────────────────────────────────┘  │
-└─────────────────────────────────────────────┘
-```
-
-### 2.3 Implementation Attempt
-
-```python
-from starlette.middleware.base import BaseHTTPMiddleware
-
-class ApiKeyCaptureMiddleware(BaseHTTPMiddleware):
-    """Captures API key from SSE and links it to session_id"""
-
-    async def dispatch(self, request: Request, call_next):
-        api_key = request.query_params.get('api_key')
-        session_id = request.query_params.get('session_id')
-        path = request.url.path
-
-        # SSE connection with api_key - store for later linking
-        if api_key and path == '/sse':
-            _session_auth_store['_pending_api_key'] = api_key
-            logger.info(f"Captured API key: {api_key[:15]}...")
-
-        # Messages request - link session to api_key
-        if session_id and path.startswith('/messages'):
-            if '_pending_api_key' in _session_auth_store:
-                pending = _session_auth_store.pop('_pending_api_key')
-                store_session_api_key(session_id, pending)
-
-        return await call_next(request)
-
-# Attempted integration
-custom_middleware = [Middleware(ApiKeyCaptureMiddleware)]
-sse_app = mcp.sse_app(custom_middleware=custom_middleware)
-```
-
-### 2.4 Critical Failure Points
-
-#### Issue 1: Framework Incompatibility
-```python
-TypeError: FastMCP.sse_app() got an unexpected keyword argument 'custom_middleware'
-```
-
-**Root Cause:** FastMCP 2.13.1 does not expose middleware injection points in its public API. The `sse_app()` method does not accept middleware parameters.
-
-#### Issue 2: ASGI App Access
-Attempted workarounds:
-- `mcp._sse_app` - Private attribute, not guaranteed stable
-- `mcp.get_asgi_app()` - Method does not exist
-- Monkey-patching internal structures - Fragile and unmaintainable
-
-#### Issue 3: Request Interception Timing
-Even if middleware could be added, SSE connection handling occurs deep within MCP's protocol layer, potentially before middleware execution.
-
-### 2.5 Why It Failed
-
-| Aspect | Problem |
-|--------|---------|
-| **Framework Support** | FastMCP doesn't support custom middleware injection |
-| **API Surface** | No documented way to intercept requests at the right layer |
-| **Maintainability** | Would require framework modifications or fragile hacks |
-| **Reliability** | Internal API changes could break the implementation |
-| **Deployment** | Cannot guarantee compatibility across FastMCP versions |
-
-### 2.6 Lessons Learned
-
-1. **Framework limitations are real constraints** - Working around them leads to technical debt
-2. **Public API matters** - Relying on private/undocumented features is risky
-3. **Layer selection is critical** - Middleware operates at the wrong abstraction level for this use case
-
----
-
-## 3. Approach 2: HTTP Proxy Solution (SUCCESS)
-
-### 3.1 Concept
-
-Deploy a lightweight HTTP proxy in front of FastMCP that intercepts, captures, and augments requests before forwarding them to the MCP server.
-
-### 3.2 Architecture
-
-```
-┌──────────────────────────────────────────────────────────────┐
-│               Claude Desktop Client                          │
-└────────────────────────┬─────────────────────────────────────┘
-                         │
-                         │ 1. GET /sse?api_key=fm_USER_KEY
-                         ▼
-┌──────────────────────────────────────────────────────────────┐
-│           Authentication Proxy (Port 7860)                   │
-│  ┌────────────────────────────────────────────────────────┐  │
-│  │  Step 1: Capture API Key                              │  │
-│  │  - Extract api_key from /sse URL                      │  │
-│  │  - Store: {'_pending_api_key': 'fm_USER_KEY'}        │  │
-│  └────────────────────────────────────────────────────────┘  │
-│  ┌────────────────────────────────────────────────────────┐  │
-│  │  Step 2: Link Session                                 │  │
-│  │  - On /messages/?session_id=abc123                    │  │
-│  │  - Link: {'abc123': 'fm_USER_KEY'}                    │  │
-│  └────────────────────────────────────────────────────────┘  │
-│  ┌────────────────────────────────────────────────────────┐  │
-│  │  Step 3: Inject API Key                               │  │
-│  │  - Add api_key to query params                        │  │
-│  │  - Forward: /messages/?session_id=abc&api_key=fm_xxx  │  │
-│  └────────────────────────────────────────────────────────┘  ��
-└────────────────────────┬─────────────────────────────────────┘
-                         │
-                         │ 2. Forward with API key injected
-                         ▼
-┌──────────────────────────────────────────────────────────────┐
-│           FastMCP Server (Port 7861 - Internal)              │
-│  ┌────────────────────────────────────────────────────────┐  │
-│  │  Standard FastMCP Request Handler                     │  │
-│  │  - Receives requests WITH api_key parameter           │  │
-│  │  - Authenticates using provided API key               │  │
-│  │  - Executes tool with proper user context             │  │
-│  └────────────────────────────────────────────────────────┘  │
-└──────────────────────────────────────────────────────────────┘
-```
-
-### 3.3 Implementation
-
-#### 3.3.1 Proxy Server (proxy.py)
-
-```python
-import asyncio
-from aiohttp import web, ClientSession, ClientTimeout
-from urllib.parse import urlencode
-
-# Configuration
-PROXY_PORT = int(os.getenv("PORT", 7860))  # Public port
-FASTMCP_PORT = 7861  # Internal FastMCP port
-FASTMCP_HOST = "localhost"
-
-# Session storage: session_id -> api_key
-session_api_keys = {}
-
-async def proxy_handler(request):
-    """Main proxy handler - captures API keys and forwards requests"""
-    path = request.path
-    query_params = dict(request.query)
-
-    api_key = query_params.get('api_key')
-    session_id = query_params.get('session_id')
-
-    # STEP 1: Capture API key from initial SSE connection
-    if api_key and path == '/sse':
-        logger.info(f"[AUTH] Captured API key: {api_key[:20]}...")
-        session_api_keys['_pending_api_key'] = api_key
-
-    # STEP 2: Link session_id to API key
-    if session_id and path.startswith('/messages'):
-        if session_id not in session_api_keys:
-            if '_pending_api_key' in session_api_keys:
-                api_key_to_store = session_api_keys['_pending_api_key']
-                session_api_keys[session_id] = api_key_to_store
-                logger.info(f"[AUTH] Linked session {session_id[:12]}...")
-
-        # STEP 3: Inject API key into request
-        stored_api_key = session_api_keys.get(session_id)
-        if stored_api_key:
-            query_params['api_key'] = stored_api_key
-
-    # Build target URL and forward
-    query_string = urlencode(query_params) if query_params else ""
-    target_url = f"http://{FASTMCP_HOST}:{FASTMCP_PORT}{path}"
-    if query_string:
-        target_url += f"?{query_string}"
-
-    # Forward to FastMCP with proper SSE streaming support
-    async with ClientSession(timeout=ClientTimeout(total=300)) as session:
-        if request.method == 'GET':
-            async with session.get(target_url, headers=headers) as resp:
-                if 'text/event-stream' in resp.content_type:
-                    # Stream SSE responses
-                    response = web.StreamResponse(
-                        status=resp.status,
-                        headers=dict(resp.headers)
-                    )
-                    await response.prepare(request)
-                    async for chunk in resp.content.iter_any():
-                        await response.write(chunk)
-                    await response.write_eof()
-                    return response
-                else:
-                    # Regular HTTP responses
-                    body = await resp.read()
-                    return web.Response(body=body, status=resp.status)
-        # ... POST and other methods handled similarly
-```
-
-#### 3.3.2 Unified Launcher (start_with_proxy.py)
-
-```python
-import subprocess
-import signal
-
-def main():
-    # Start FastMCP on internal port 7861
-    fastmcp_process = subprocess.Popen([python_exe, "app.py"])
-    time.sleep(3)  # Allow FastMCP to initialize
-
-    # Start proxy on public port 7860
-    proxy_process = subprocess.Popen([python_exe, "proxy.py"])
-
-    # Monitor both processes
-    while True:
-        if fastmcp_process.poll() is not None:
-            logger.error("FastMCP stopped unexpectedly")
-            proxy_process.terminate()
-            sys.exit(1)
-        if proxy_process.poll() is not None:
-            logger.error("Proxy stopped unexpectedly")
-            fastmcp_process.terminate()
-            sys.exit(1)
-        time.sleep(1)
-```
-
-#### 3.3.3 FastMCP Server (app.py)
-
-```python
-# Simplified - no middleware needed
-HF_SPACE_PORT = int(os.getenv("PORT", 7861))  # Internal port
-HF_SPACE_HOST = os.getenv("HOST", "0.0.0.0")
-
-logger.info("[Auth] Using proxy-based authentication")
-
-# Standard FastMCP execution
-mcp.run(
-    transport="sse",
-    host=HF_SPACE_HOST,
-    port=HF_SPACE_PORT
-)
-```
-
-### 3.4 Session Isolation Example
-
-```python
-# Three users connect simultaneously:
-
-# User A
-GET /sse?api_key=fm_AAA
-→ session_api_keys = {'_pending_api_key': 'fm_AAA'}
-
-POST /messages/?session_id=session_123
-→ session_api_keys = {'session_123': 'fm_AAA', '_pending_api_key': 'fm_AAA'}
-→ Forwarded: /messages/?session_id=session_123&api_key=fm_AAA
-
-# User B (while User A active)
-GET /sse?api_key=fm_BBB
-→ session_api_keys = {'session_123': 'fm_AAA', '_pending_api_key': 'fm_BBB'}
-
-POST /messages/?session_id=session_456
-→ session_api_keys = {'session_123': 'fm_AAA', 'session_456': 'fm_BBB'}
-→ Forwarded: /messages/?session_id=session_456&api_key=fm_BBB
-
-# User C (both A and B still active)
-GET /sse?api_key=fm_CCC
-→ session_api_keys = {'session_123': 'fm_AAA', 'session_456': 'fm_BBB', '_pending_api_key': 'fm_CCC'}
-
-POST /messages/?session_id=session_789
-→ session_api_keys = {'session_123': 'fm_AAA', 'session_456': 'fm_BBB', 'session_789': 'fm_CCC'}
-→ Forwarded: /messages/?session_id=session_789&api_key=fm_CCC
-
-# Each user's requests are properly isolated:
-User A → session_123 → fm_AAA
-User B → session_456 → fm_BBB
-User C → session_789 → fm_CCC
-```
-
-### 3.5 Why It Succeeds
-
-| Aspect | Solution |
-|--------|----------|
-| **Framework Independence** | Proxy operates outside FastMCP - no framework modifications needed |
-| **Clean Separation** | Authentication layer completely decoupled from application logic |
-| **Request Control** | Full access to HTTP layer before FastMCP sees requests |
-| **SSE Compatibility** | Proper streaming support for Server-Sent Events |
-| **Maintainability** | Standard HTTP proxy pattern - well-understood and debuggable |
-| **Scalability** | Can be enhanced with Redis for distributed session storage |
-| **Deployment** | Single entry point works locally and on HuggingFace |
-
----
-
-## 4. Technical Comparison
-
-### 4.1 Architecture Comparison
-
-| Dimension | Middleware Approach | Proxy Approach |
-|-----------|---------------------|----------------|
-| **Integration Point** | Inside FastMCP application | Before FastMCP application |
-| **Coupling** | Tightly coupled to FastMCP internals | Loosely coupled via HTTP |
-| **Framework Dependency** | Requires FastMCP middleware support | Framework-agnostic |
-| **Code Location** | Mixed with application code | Separate component |
-| **Testing** | Requires FastMCP test environment | Can test independently |
-| **Deployment Complexity** | Single process | Two processes (managed) |
-
-### 4.2 Operational Comparison
-
-| Aspect | Middleware | Proxy |
-|--------|-----------|-------|
-| **Lines of Code** | ~50 (but doesn't work) | ~200 (working solution) |
-| **Dependencies** | Starlette middleware APIs | aiohttp (standard library) |
-| **Memory Overhead** | None (same process) | ~20-30 MB (separate process) |
-| **Latency** | 0ms (in-process) | <1ms (localhost HTTP) |
-| **Debugging** | Difficult (framework internals) | Easy (standard HTTP logs) |
-| **Monitoring** | Limited visibility | Full HTTP request/response logs |
-| **Failure Isolation** | Affects entire application | Proxy failure = graceful degradation |
-
-### 4.3 Security Comparison
-
-| Security Aspect | Middleware | Proxy |
-|-----------------|-----------|-------|
-| **API Key Exposure** | In-memory within FastMCP | In-memory in separate process |
-| **Session Storage** | Shared application memory | Isolated proxy memory |
-| **Request Logging** | Mixed with application logs | Dedicated authentication logs |
-| **Attack Surface** | Same as application | Additional HTTP endpoint (7860) |
-| **Rate Limiting** | N/A (not implemented) | Can add per-session rate limiting |
-| **Audit Trail** | Limited | Complete request/response audit |
-
-### 4.4 Scalability Comparison
-
-| Scenario | Middleware | Proxy |
-|----------|-----------|-------|
-| **10 concurrent users** | N/A (doesn't work) | Excellent |
-| **100 concurrent users** | N/A | Good (in-memory storage) |
-| **1000+ concurrent users** | N/A | Requires Redis for session store |
-| **Multi-instance deployment** | N/A | Requires distributed session store |
-| **Horizontal scaling** | N/A | Possible with Redis backend |
-
----
-
-## 5. Implementation Details
-
-### 5.1 Key Technical Decisions
-
-#### 5.1.1 Port Configuration
-- **Public Port (7860)**: Proxy listens here (HuggingFace standard)
-- **Internal Port (7861)**: FastMCP listens here (localhost only)
-- **Rationale**: Clear separation of external and internal services
-
-#### 5.1.2 Session Storage
-- **Current**: In-memory Python dictionary
-- **Production Enhancement**: Redis for distributed sessions
-- **Trade-off**: Simplicity vs. scalability
-
-#### 5.1.3 SSE Streaming
-- **Challenge**: Proxy must not buffer SSE responses
-- **Solution**: `web.StreamResponse` with `iter_any()` for chunk forwarding
-- **Result**: Real-time event delivery maintained
-
-#### 5.1.4 Error Handling
-```python
-try:
-    # Proxy request forwarding
-    async with session.get(target_url) as resp:
-        return await forward_response(resp)
-except Exception as e:
-    logger.error(f"[ERROR] Proxy error: {e}")
-    return web.Response(text=f"Proxy error: {str(e)}", status=502)
-```
-
-### 5.2 Deployment Configuration
-
-#### 5.2.1 Local Development
-```bash
-python start_with_proxy.py
-```
-
-#### 5.2.2 HuggingFace Spaces
-```dockerfile
-# Dockerfile
-FROM python:3.11-slim
-COPY requirements.txt .
-RUN pip install -r requirements.txt
-COPY . /app
-EXPOSE 7860
-CMD ["python", "start_with_proxy.py"]
-```
-
-#### 5.2.3 Environment Variables
-```bash
-# Proxy reads from HuggingFace
-PORT=7860  # Automatically set by HuggingFace
-
-# FastMCP configuration
-DATABASE_URL=postgresql://...
-GOOGLE_MAPS_API_KEY=...
-```
-
----
-
-## 6. Benefits & Trade-offs
-
-### 6.1 Advantages of Proxy Approach
-
-1. **Framework Independence**
-   - Works with any FastMCP version
-   - No dependency on internal APIs
-   - Future-proof against framework changes
-
-2. **Clear Separation of Concerns**
-   - Authentication logic isolated from business logic
-   - Easier to test, debug, and maintain
-   - Can be reused with other MCP servers
-
-3. **Enhanced Observability**
-   - Dedicated authentication logs
-   - HTTP-level monitoring
-   - Clear audit trail for security compliance
-
-4. **Deployment Flexibility**
-   - Can run proxy and FastMCP on same host
-   - Can split across hosts if needed
-   - Easy to add load balancing later
-
-5. **Extensibility**
-   - Easy to add features: rate limiting, request filtering, logging
-   - Can enhance with Redis for distributed sessions
-   - Can add caching layer if needed
-
-### 6.2 Trade-offs
-
-1. **Increased Complexity**
-   - **Impact**: Two processes to manage instead of one
-   - **Mitigation**: `start_with_proxy.py` handles process management
-   - **Severity**: Low - standard pattern
-
-2. **Additional Latency**
-   - **Impact**: Extra localhost HTTP round-trip (~0.5-1ms)
-   - **Mitigation**: Negligible for typical MCP operations
-   - **Severity**: Very Low - not noticeable to users
-
-3. **Memory Overhead**
-   - **Impact**: ~20-30 MB for proxy process
-   - **Mitigation**: Minimal compared to FastMCP and database
-   - **Severity**: Very Low - acceptable for all deployment targets
-
-4. **Session Storage Limitations**
-   - **Impact**: In-memory storage lost on restart
-   - **Mitigation**: Sessions reconnect automatically with new API key
-   - **Enhancement**: Can add Redis for persistence if needed
-   - **Severity**: Low - acceptable for current scale
-
-### 6.3 Risk Assessment
-
-| Risk | Probability | Impact | Mitigation |
-|------|-------------|--------|------------|
-| Proxy crash | Low | Medium | Process monitor restarts automatically |
-| FastMCP crash | Low | High | Proxy returns 502, client retries |
-| Session store full | Very Low | Low | Implement TTL-based cleanup |
-| Port conflict | Low | High | Configuration validation on startup |
-| SSE streaming issue | Very Low | High | Extensive testing, fallback handling |
-
----
-
-## 7. Performance Analysis
-
-### 7.1 Latency Measurements
-
-| Operation | Direct (Theoretical) | With Proxy | Overhead |
-|-----------|---------------------|------------|----------|
-| SSE Connection | ~50ms | ~51ms | +1ms |
-| Tool Execution | ~200ms | ~201ms | +1ms |
-| Database Query | ~20ms | ~20ms | 0ms |
-
-**Conclusion**: Proxy overhead is negligible (<1% of total request time)
-
-### 7.2 Throughput
-
-| Concurrent Users | Requests/sec | CPU Usage | Memory |
-|------------------|--------------|-----------|--------|
-| 1 | 100 | 5% | 150 MB |
-| 10 | 800 | 20% | 180 MB |
-| 50 | 2000 | 45% | 280 MB |
-| 100 | 3500 | 75% | 450 MB |
-
-**Conclusion**: Handles 100+ concurrent users on standard HuggingFace Space resources
-
-### 7.3 Resource Usage
-
-```
-Process         CPU    Memory   Threads
------------------------------------------
-proxy.py        8%     35 MB    4
-app.py          12%    120 MB   8
-postgresql      15%    200 MB   12
------------------------------------------
-Total           35%    355 MB   24
-```
-
-**Conclusion**: Well within HuggingFace Spaces resource limits
-
----
-
-## 8. Security Considerations
-
-### 8.1 API Key Handling
-
-1. **Transmission**: API keys transmitted via HTTPS (enforced by HuggingFace)
-2. **Storage**: In-memory only, never persisted to disk by proxy
-3. **Logging**: Only first 20 characters logged for debugging
-4. **Lifetime**: Cleared when session ends or server restarts
-
-### 8.2 Session Security
-
-1. **Session IDs**: Generated by FastMCP, cryptographically random
-2. **Session Hijacking**: Mitigated by short-lived sessions
-3. **Cross-User Isolation**: Each session mapped to unique API key
-4. **Session Expiry**: Automatic cleanup on disconnect
-
-### 8.3 Threat Model
-
-| Threat | Risk Level | Mitigation |
-|--------|------------|------------|
-| API key interception | Low | HTTPS encryption |
-| Session hijacking | Low | Random session IDs, short lifetime |
-| Proxy bypass | Medium | FastMCP on localhost only (7861) |
-| DoS attack | Medium | Rate limiting (can be added) |
-| Memory inspection | Low | Serverless environment isolation |
-
----
-
-## 9. Future Enhancements
-
-### 9.1 Distributed Session Storage (Redis)
-
-**Current State**: In-memory dictionary
-**Enhancement**: Redis backend for session persistence
-
-```python
-import redis
-r = redis.Redis(host='redis', port=6379)
-
-# Store session with 1-hour expiry
-r.setex(f'session:{session_id}', 3600, api_key)
-
-# Retrieve session
-api_key = r.get(f'session:{session_id}')
-```
-
-**Benefits**:
-- Sessions survive proxy restarts
-- Enables horizontal scaling with multiple proxy instances
-- Automatic expiry with TTL
-
-### 9.2 Rate Limiting
-
-```python
-from aiohttp_limiter import Limiter
-
-limiter = Limiter(store=redis_store)
-
-@limiter.limit("100/minute")
-async def proxy_handler(request):
-    # Limit to 100 requests per minute per API key
-    ...
-```
-
-### 9.3 Request Caching
-
-```python
-# Cache GET requests for tool results
-if request.method == 'GET' and cache_key in cache:
-    return cached_response
-```
-
-### 9.4 Advanced Monitoring
-
-```python
-# Prometheus metrics
-from prometheus_client import Counter, Histogram
-
-requests_total = Counter('proxy_requests_total', 'Total requests')
-request_duration = Histogram('proxy_request_duration_seconds', 'Request duration')
-```
-
----
-
-## 10. Conclusion
-
-### 10.1 Summary
-
-The proxy-based authentication solution successfully addresses all requirements for multi-tenant API key authentication in the FleetMind MCP Server:
-
-✅ **Functional**: Correctly captures, stores, and injects API keys
-✅ **Reliable**: Stable operation with multiple concurrent users
-✅ **Maintainable**: Clean separation of concerns, standard patterns
-✅ **Scalable**: Handles 100+ concurrent users, extensible with Redis
-✅ **Deployable**: Works on HuggingFace Spaces with zero modifications
-✅ **Secure**: Proper isolation and API key handling
-
-### 10.2 Recommendation
-
-**Adopt the proxy-based approach** for production deployment.
-
-**Rationale**:
-1. Proven working solution (vs. middleware approach that cannot work)
-2. Minimal overhead (~1ms per request)
-3. Standard architectural pattern (reverse proxy)
-4. Future-proof against FastMCP framework changes
-5. Enhanced observability and debugging capabilities
-6. Clear path for scaling (Redis integration)
-
-### 10.3 Next Steps
-
-1. **Immediate** (Week 1):
-   - Deploy proxy solution to production
-   - Monitor performance metrics
-   - Validate multi-tenant isolation
-
-2. **Short-term** (Month 1):
-   - Add comprehensive logging
-   - Implement session TTL cleanup
-   - Set up monitoring alerts
-
-3. **Medium-term** (Quarter 1):
-   - Integrate Redis for session persistence
-   - Add rate limiting per API key
-   - Implement request caching
-
-4. **Long-term** (Quarter 2+):
-   - Multi-region deployment
-   - Advanced monitoring dashboard
-   - Performance optimization based on production metrics
-
----
-
-## 11. References
-
-### 11.1 Technical Documentation
-
-- FastMCP Framework: https://docs.fastmcp.com
-- Model Context Protocol: https://modelcontextprotocol.io
-- aiohttp Documentation: https://docs.aiohttp.org
-- HuggingFace Spaces: https://huggingface.co/docs/hub/spaces
-
-### 11.2 Related Files
-
-- `proxy.py` - Authentication proxy implementation
-- `app.py` - FastMCP server (simplified, no middleware)
-- `start_with_proxy.py` - Unified launcher
-- `PROXY_SETUP.md` - Setup and deployment guide
-- `HUGGINGFACE_DEPLOY.md` - HuggingFace-specific instructions
-
-### 11.3 System Architecture
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                     FleetMind MCP System                        │
-│                                                                 │
-│  ┌──────────────┐    ┌──────────────┐    ┌─────────────────┐  │
-│  │ Claude       │───▶│ Auth Proxy   │───▶│ FastMCP Server  │  │
-│  │ Desktop      │    │ (Port 7860)  │    │ (Port 7861)     │  │
-│  └──────────────┘    └──────────────┘    └─────────────────┘  │
-│                             │                       │           │
-│                             ▼                       ▼           │
-│                      ┌─────────────┐        ┌──────────────┐   │
-│                      │ Session     │        │ PostgreSQL   │   │
-│                      │ Store       │        │ Database     │   │
-│                      └─────────────┘        └──────────────┘   │
-└─────────────────────────────────────────────────────────────────┘
-```
-
----
-
-## Appendix A: Code Statistics
-
-| Component | Lines of Code | Complexity | Test Coverage |
-|-----------|---------------|------------|---------------|
-| proxy.py | 206 | Low | Manual testing |
-| app.py (modified) | -150 | Reduced | Existing |
-| start_with_proxy.py | 165 | Low | Manual testing |
-| **Total Added** | **371** | **Low** | **95%+** |
-
-## Appendix B: Deployment Checklist
-
-- [ ] Dockerfile updated to use `start_with_proxy.py`
-- [ ] Environment variables configured on HuggingFace
-- [ ] Database connection tested
-- [ ] Proxy health check endpoint verified (`/health`)
-- [ ] Claude Desktop config updated with proxy URL
-- [ ] Multi-user testing completed
-- [ ] Session isolation verified
-- [ ] Error handling tested (proxy crash, FastMCP crash)
-- [ ] Performance benchmarks documented
-- [ ] Monitoring alerts configured
-
----
-
-**Document Status**: Final
-**Review Status**: Pending Senior Engineer Review
-**Approval Required**: Yes
-**Next Review Date**: After production deployment
-

VEHICLE_SPECIFIC_ROUTING.md

@@ -1,346 +0,0 @@
-# Vehicle-Specific Routing Enhancement - Complete
-
-## Summary
-
-Successfully enhanced Routes API integration with vehicle-specific routing features for motorcycles (TWO_WHEELER mode), bicycles, and cars with toll detection, fuel consumption, and traffic breakdown.
-
-## Enhancements Implemented
-
-### 1. Motorcycle-Specific Routing (TWO_WHEELER Mode)
-
-**Implementation:**
-- Updated `VEHICLE_TYPE_TO_MODE` mapping: motorcycle → TWO_WHEELER
-- Routes API now uses proper TWO_WHEELER travel mode instead of generic "driving"
-- Motorcycle routes are different from car routes (different roads, shortcuts)
-
-**Test Results (Dhaka Route):**
-- **Distance:** 4.4 km (vs 5.0 km for car - motorcycles can use different roads)
-- **Time:** 17 minutes (15 min base + 1 min traffic delay)
-- **Route:** via Moghbazar Rd/Shaheed Tajuddin Ahmed Ave
-- **Alternatives:** 2 alternative routes provided
-- **Traffic Data:** 17 traffic segments available
-- **Beta Warning:** Displayed (TWO_WHEELER mode is in beta, billed at higher rate)
-
-**Features:**
-✅ Motorcycle-optimized routes
-✅ Real-time traffic for motorcycles
-✅ Alternative routes
-✅ Beta status warning
-
-### 2. Enhanced Car Routing (DRIVE Mode)
-
-**New Features:**
-- Duration WITH traffic vs WITHOUT traffic
-- Traffic delay breakdown
-- Toll road detection
-- Fuel consumption estimates (when enabled)
-- Route labels (DEFAULT_ROUTE, FUEL_EFFICIENT, etc.)
-- Detailed traffic segments
-
-**Test Results (Dhaka Route):**
-
-**Test 2a: Car with Defaults**
-- **Distance:** 5.0 km
-- **Time:** 12 minutes (14 min base - 2 min traffic benefit!)
-- **Route:** via Shaheed Tajuddin Ahmed Ave
-- **Toll Info:** YES - Toll roads on route
-- **Traffic Data:** 3 traffic segments
-- **Traffic Delay:** No delay (faster route with traffic)
-
-**Test 2b: Car Avoiding Tolls**
-- **Distance:** 4.2 km (different route)
-- **Time:** 18 minutes (15 min base + 3 min traffic delay)
-- **Route:** via Kazi Nazrul Islam Ave (different!)
-- **Toll Info:** NO - Toll roads avoided successfully
-- **Traffic Data:** 15 traffic segments
-- **Traffic Delay:** +3 minutes
-
-**Key Insight:** avoid_tolls parameter works! Routes API chooses a completely different route when tolls are avoided.
-
-### 3. Bicycle Routing (BICYCLE Mode)
-
-**Implementation:**
-- Proper BICYCLE mode support
-- Fixed routing preference bug (can't set preference for BICYCLE/WALK modes)
-
-**Test Results:**
-- Routes API found no bicycle routes for this specific Dhaka area
-- Gracefully fell back to mock calculation
-- This is expected - not all areas have mapped bicycle infrastructure
-
-### 4. New Tool Parameters
-
-Added to `calculate_route` tool in `server.py`:
-
-| Parameter | Type | Description | Applies To |
-|-----------|------|-------------|------------|
-| `vehicle_type` | string | motorcycle, bicycle, car, van, truck | All |
-| `avoid_tolls` | boolean | Avoid toll roads | Car, Motorcycle |
-| `avoid_highways` | boolean | Avoid highways | Car, Motorcycle |
-| `avoid_ferries` | boolean | Avoid ferry routes | Car, Motorcycle |
-| `emission_type` | string | GASOLINE, ELECTRIC, HYBRID, DIESEL | Car, Van, Truck |
-| `request_fuel_efficient` | boolean | Request eco-friendly route | Car, Van, Truck |
-
-### 5. Enhanced Response Data
-
-**New Response Fields:**
-
-```python
-{
-    "duration": {seconds, text},              # WITHOUT traffic
-    "duration_in_traffic": {seconds, text},   # WITH traffic
-    "traffic_delay": {seconds, text},         # Difference
-    "vehicle_type": str,                      # Vehicle used
-    "route_labels": [str],                    # Route type labels
-    "toll_info": {                            # Toll detection
-        "has_tolls": bool,
-        "details": str
-    },
-    "fuel_consumption": {                     # DRIVE mode only
-        "liters": float,
-        "text": str
-    },
-    "traffic_data_available": bool,           # Traffic segments available
-    "traffic_segments_count": int,            # Number of segments
-    "warning": str                            # Beta warnings
-}
-```
-
-## Code Changes Summary
-
-### Files Modified
-
-**1. `chat/tools.py` (~150 lines modified/added)**
-- Updated `VEHICLE_TYPE_TO_MODE` mapping (line 666)
-- Updated `handle_calculate_route()` to pass vehicle_type and tool_input (line 688)
-- Updated `_calculate_route_routes_api()` signature (line 837)
-- Added enhanced field masks (lines 879-895)
-- Added route modifiers (vehicleInfo, avoid options) (lines 922-943)
-- Added extraComputations (TRAFFIC_ON_POLYLINE, TOLLS, FUEL_CONSUMPTION) (lines 945-965)
-- Fixed routing preference for BICYCLE/WALK modes (lines 921-923)
-- Enhanced response parsing (static duration, tolls, fuel) (lines 991-1030)
-- Enhanced response data structure (lines 1036-1094)
-- Fixed logging bug (line 1136)
-
-**2. `server.py` (~70 lines modified)**
-- Updated `calculate_route` tool parameters (lines 156-224)
-- Added all new parameters to function signature
-- Updated documentation with enhanced return type
-
-## API Features Utilized
-
-### Routes API v2 Features Now Used:
-
-1. **Travel Modes:**
-   - DRIVE (cars, vans, trucks)
-   - TWO_WHEELER (motorcycles) ✅ **NEW**
-   - BICYCLE (bicycles)
-   - WALK (pedestrians)
-
-2. **Route Modifiers:**
-   - `vehicleInfo.emissionType` ✅ **NEW**
-   - `avoidTolls` ✅ **NEW**
-   - `avoidHighways` ✅ **NEW**
-   - `avoidFerries` ✅ **NEW**
-
-3. **Extra Computations:**
-   - `TRAFFIC_ON_POLYLINE` ✅ **NEW**
-   - `TOLLS` ✅ **NEW**
-   - `FUEL_CONSUMPTION` ✅ **NEW**
-
-4. **Enhanced Data:**
-   - `staticDuration` (without traffic) ✅ **NEW**
-   - `routeLabels` ✅ **NEW**
-   - `travelAdvisory.tollInfo` ✅ **NEW**
-   - `travelAdvisory.fuelConsumptionMicroliters` ✅ **NEW**
-   - `travelAdvisory.speedReadingIntervals` ✅ **NEW**
-
-## Comparison: Before vs After
-
-### Dhaka Route Test (Same Origin/Destination)
-
-| Vehicle | Before (Mock) | After (Routes API) | Improvement |
-|---------|---------------|-------------------|-------------|
-| **Motorcycle** | 14 min (2.0 km) | 17 min (4.4 km) | ✅ Real TWO_WHEELER routing |
-| **Car** | 57 min (2.5 km) | 12 min (5.0 km) | ✅ 4.75x more accurate |
-| **Car (no tolls)** | N/A | 18 min (4.2 km) | ✅ New feature works! |
-| **Bicycle** | 9 min (2.4 km) | No routes (mock) | ⚠️ Area has no bike paths |
-
-### Key Insights
-
-1. **Motorcycle routes are different:**
-   - 4.4 km vs 5.0 km for cars
-   - Different roads (Moghbazar Rd vs Shaheed Tajuddin Ahmed Ave)
-   - Motorcycles can navigate through different paths
-
-2. **Toll avoidance works:**
-   - Default route: 5.0 km via Shaheed Tajuddin Ahmed Ave (with tolls)
-   - Avoid tolls route: 4.2 km via Kazi Nazrul Islam Ave (no tolls)
-   - Different roads, different times
-
-3. **Traffic delay breakdown is insightful:**
-   - Some routes are FASTER with traffic (route optimization)
-   - Traffic delay can be negative (better route found)
-   - Clear separation of base time vs traffic impact
-
-## Benefits Achieved
-
-### 1. Accuracy
-✅ **4.75x more accurate** than mock algorithm
-✅ Real-time traffic data from Google
-✅ Actual road distances (not estimates)
-✅ Vehicle-specific route optimization
-
-### 2. Features
-✅ Motorcycle-specific routing (TWO_WHEELER mode)
-✅ Toll road detection and avoidance
-✅ Traffic breakdown (with vs without)
-✅ Fuel consumption estimates (future enhancement)
-✅ Alternative routes with labels
-✅ Detailed traffic segments
-
-### 3. Flexibility
-✅ Avoid tolls, highways, ferries
-✅ Multiple vehicle types supported
-✅ Emission type configuration
-✅ Eco-friendly route requests
-
-### 4. Reliability
-✅ Beta warnings for TWO_WHEELER/BICYCLE modes
-✅ Graceful fallback if Routes API fails
-✅ Works with real-time traffic conditions
-✅ Handles "no routes" scenarios
-
-## Usage Examples
-
-### Example 1: Motorcycle Routing
-
-```python
-from chat.tools import handle_calculate_route
-
-result = handle_calculate_route({
-    "origin": "Ahsanullah University, Dhaka",
-    "destination": "Tejgaon College, Dhaka",
-    "vehicle_type": "motorcycle",
-    "alternatives": True
-})
-
-print(f"Distance: {result['distance']['text']}")          # 4.4 km
-print(f"Duration: {result['duration_in_traffic']['text']}")  # 17 mins
-print(f"Mode: {result['mode']}")                          # TWO_WHEELER
-print(f"Warning: {result.get('warning', 'None')}")        # Beta warning
-# Output:
-# Distance: 4.4 km
-# Duration: 17 mins
-# Mode: TWO_WHEELER
-# Warning: Motorcycle routing uses TWO_WHEELER mode (beta)...
-```
-
-### Example 2: Car Routing with Toll Avoidance
-
-```python
-result = handle_calculate_route({
-    "origin": "Ahsanullah University, Dhaka",
-    "destination": "Tejgaon College, Dhaka",
-    "vehicle_type": "car",
-    "avoid_tolls": True
-})
-
-print(f"Route: {result['route_summary']}")                # Kazi Nazrul Islam Ave
-print(f"Has Tolls: {result['toll_info']['has_tolls']}")  # False
-print(f"Traffic Delay: {result['traffic_delay']['text']}")  # 3 mins
-# Output:
-# Route: Kazi Nazrul Islam Ave
-# Has Tolls: False
-# Traffic Delay: 3 mins
-```
-
-### Example 3: Car with Fuel Consumption
-
-```python
-result = handle_calculate_route({
-    "origin": "Start Address",
-    "destination": "End Address",
-    "vehicle_type": "car",
-    "emission_type": "ELECTRIC",
-    "request_fuel_efficient": True
-})
-
-if result.get('fuel_consumption'):
-    print(f"Fuel: {result['fuel_consumption']['text']}")
-# Note: Fuel consumption data depends on route length and API response
-```
-
-## API Limitations
-
-### What Works:
-✅ Motorcycle-specific routing (TWO_WHEELER mode)
-✅ Bicycle routing (where infrastructure exists)
-✅ Car routing with enhancements
-✅ Toll detection and avoidance
-✅ Traffic breakdown
-✅ Alternative routes
-
-### What Doesn't Work:
-❌ Truck-specific routing (weight/height restrictions)
-❌ Differentiation between car/van/truck (all use DRIVE mode)
-❌ Hazmat routing
-❌ Commercial vehicle restrictions
-❌ Bicycle routing in areas without mapped bike infrastructure
-
-**Reason:** Google Routes API doesn't support truck-specific parameters or commercial vehicle restrictions. All 4-wheeled vehicles use the same DRIVE mode.
-
-## Future Enhancements (Optional)
-
-1. **Add More Cities to City Profiles**
-   - Not needed - Routes API handles all cities automatically with real data
-
-2. **Cache Recent Routes**
-   - Cache responses for 5-10 minutes to reduce API calls
-   - Good for repeated queries
-
-3. **Toll Cost Estimates**
-   - Parse actual toll cost from `tollInfo.estimatedPrice`
-   - Currently just detecting presence, not cost
-
-4. **Fuel Consumption Tracking**
-   - Parse and display actual fuel consumption data
-   - Currently field is requested but may not always be returned
-
-5. **Traffic Segment Visualization**
-   - Use `speedReadingIntervals` for color-coded traffic visualization
-   - Show congestion levels along route
-
-## Conclusion
-
-The vehicle-specific routing enhancement is **complete and working perfectly**!
-
-**Before:**
-- All vehicles used same "driving" mode
-- No toll detection
-- No traffic breakdown
-- Mock algorithm (over-estimated by 4.75x)
-
-**After:**
-- Motorcycles use TWO_WHEELER mode (different routes)
-- Toll detection and avoidance working
-- Traffic breakdown (with vs without traffic)
-- Real-time Routes API data (4.75x more accurate)
-- Enhanced features: fuel consumption, route labels, traffic segments
-
-**Test Verification:**
-✅ Motorcycle routing: 4.4 km in 17 mins via different roads
-✅ Car routing: 5.0 km in 12 mins with toll detection
-✅ Toll avoidance: 4.2 km via different route (no tolls)
-✅ Bicycle routing: Graceful fallback when no bike paths
-✅ Beta warnings: Displayed for TWO_WHEELER mode
-✅ Traffic data: Available with segment counts
-
-The system now provides **production-ready, vehicle-specific routing** for FleetMind dispatch operations using real Google Maps Routes API data with intelligent vehicle optimization.
-
----
-
-**Implementation Date:** 2025-11-15
-**Status:** ✅ Complete and Tested
-**API:** Google Routes API v2 with vehicle-specific features
-**Vehicles Supported:** Motorcycle (TWO_WHEELER), Bicycle, Car, Van, Truck (DRIVE)

apply_auth_pattern.py

@@ -1,140 +0,0 @@
-"""
-Automated script to apply authentication pattern to all remaining handlers and tools
-Run this to complete the authentication implementation
-"""
-
-import re
-
-# Pattern for handler functions that need user_id parameter
-HANDLER_FUNCTIONS_TO_UPDATE = [
-    # Order handlers
-    'handle_get_order_details',
-    'handle_search_orders',
-    'handle_get_incomplete_orders',
-    'handle_update_order',
-    'handle_delete_order',
-    'handle_delete_all_orders',
-
-    # Driver handlers
-    'handle_count_drivers',
-    'handle_get_driver_details',
-    'handle_search_drivers',
-    'handle_get_available_drivers',
-    'handle_update_driver',
-    'handle_delete_driver',
-    'handle_delete_all_drivers',
-
-    # Assignment handlers
-    'handle_create_assignment',
-    'handle_auto_assign_order',
-    'handle_intelligent_assign_order',
-    'handle_get_assignment_details',
-    'handle_update_assignment',
-    'handle_unassign_order',
-    'handle_complete_delivery',
-    'handle_fail_delivery',
-]
-
-AUTH_CHECK_CODE = '''    # Authentication check
-    if not user_id:
-        return {
-            "success": False,
-            "error": "Authentication required. Please login first.",
-            "auth_required": True
-        }
-'''
-
-def update_handler_function(content: str, func_name: str) -> str:
-    """Add user_id parameter and auth check to a handler function"""
-
-    # Pattern 1: Update function signature
-    pattern1 = rf'(def {func_name}\(tool_input: dict)\) -> dict:'
-    replacement1 = r'\1, user_id: str = None) -> dict:'
-    content = re.sub(pattern1, replacement1, content)
-
-    # Pattern 2: Add auth check after docstring
-    pattern2 = rf'(def {func_name}\(.*?\).*?""".*?""")\n(\s+)(#|[a-zA-Z])'
-
-    def add_auth_check(match):
-        return match.group(1) + '\n' + AUTH_CHECK_CODE + '\n' + match.group(2) + match.group(3)
-
-    content = re.sub(pattern2, add_auth_check, content, flags=re.DOTALL)
-
-    return content
-
-def update_handler_queries(content: str, func_name: str) -> str:
-    """Add user_id filtering to WHERE clauses in handler functions"""
-
-    # Find the function
-    func_pattern = rf'def {func_name}\(.*?\).*?(?=\ndef\s|\Z)'
-    func_match = re.search(func_pattern, content, re.DOTALL)
-
-    if not func_match:
-        return content
-
-    func_content = func_match.group(0)
-    original_func = func_content
-
-    # For SELECT queries: Add user_id filter
-    if 'SELECT' in func_content and 'WHERE' in func_content:
-        # Pattern: where_clauses = []
-        func_content = re.sub(
-            r'(\s+where_clauses = \[\])',
-            r'\1\n    # IMPORTANT: Always filter by user_id FIRST\n    where_clauses = ["user_id = %s"]',
-            func_content
-        )
-
-        # Pattern: params = []
-        func_content = re.sub(
-            r'(\s+params = \[\])',
-            r'\1\n    params = [user_id]',
-            func_content
-        )
-
-    # For UPDATE/DELETE queries: Add user_id to WHERE
-    if ('UPDATE' in func_content or 'DELETE' in func_content) and 'WHERE' not in func_content:
-        # Add WHERE user_id = %s to UPDATE/DELETE queries
-        func_content = re.sub(
-            r'(DELETE FROM \w+)',
-            r'\1 WHERE user_id = %s',
-            func_content
-        )
-        func_content = re.sub(
-            r'(UPDATE \w+ SET.*?)(\s+""")',
-            r'\1 WHERE user_id = %s\2',
-            func_content,
-            flags=re.DOTALL
-        )
-
-    # Replace in main content
-    content = content.replace(original_func, func_content)
-
-    return content
-
-def main():
-    print("Applying authentication pattern to all handler functions...")
-
-    # Read chat/tools.py
-    with open('chat/tools.py', 'r', encoding='utf-8') as f:
-        content = f.read()
-
-    updated_count = 0
-
-    for func_name in HANDLER_FUNCTIONS_TO_UPDATE:
-        if f'def {func_name}(tool_input: dict) -> dict:' in content:
-            print(f"  Updating {func_name}...")
-            content = update_handler_function(content, func_name)
-            content = update_handler_queries(content, func_name)
-            updated_count += 1
-        else:
-            print(f"  Skipping {func_name} (already updated or not found)")
-
-    # Write back
-    with open('chat/tools.py', 'w', encoding='utf-8') as f:
-        f.write(content)
-
-    print(f"\nCompleted! Updated {updated_count} handler functions.")
-    print("\nNext: Run 'python update_server_tools.py' to update server.py tools")
-
-if __name__ == '__main__':
-    main()

cleanup_bad_user_ids.py

@@ -1,124 +0,0 @@
-"""
-Cleanup script for records with incorrect user_id='user_id'
-This fixes data created before the verify_api_key() bug was fixed
-"""
-
-from database.connection import get_db_connection
-from database.api_keys import list_api_keys
-import sys
-
-def check_bad_records():
-    """Check how many records have user_id='user_id'"""
-    conn = get_db_connection()
-    cursor = conn.cursor()
-
-    print("\n=== Checking for records with incorrect user_id='user_id' ===\n")
-
-    tables = ['orders', 'drivers', 'assignments']
-    total_bad = 0
-    details = {}
-
-    for table in tables:
-        try:
-            cursor.execute(f"SELECT COUNT(*) as count FROM {table} WHERE user_id = %s", ('user_id',))
-            result = cursor.fetchone()
-            count = result['count'] if result else 0
-
-            if count > 0:
-                print(f"  {table}: {count} records with user_id='user_id'")
-                total_bad += count
-                details[table] = count
-            else:
-                print(f"  {table}: No bad records found")
-                details[table] = 0
-        except Exception as e:
-            print(f"  {table}: Error checking - {e}")
-            details[table] = 0
-
-    cursor.close()
-    conn.close()
-
-    print(f"\nTotal bad records: {total_bad}\n")
-    return total_bad, details
-
-def get_first_api_key_user():
-    """Get the first API key user (likely the correct one)"""
-    try:
-        keys = list_api_keys()
-        if keys and len(keys) > 0:
-            return keys[0]['user_id']
-    except Exception as e:
-        print(f"Error fetching API keys: {e}")
-    return None
-
-def cleanup_bad_records(correct_user_id: str):
-    """
-    Update records with user_id='user_id' to the correct user_id
-
-    Args:
-        correct_user_id: The actual user_id to assign (e.g., 'user_75d23af433e0')
-    """
-    conn = get_db_connection()
-    cursor = conn.cursor()
-
-    print(f"\n=== Updating records to user_id='{correct_user_id}' ===\n")
-
-    tables = ['orders', 'drivers', 'assignments']
-    total_updated = 0
-
-    for table in tables:
-        try:
-            cursor.execute(
-                f"UPDATE {table} SET user_id = %s WHERE user_id = %s",
-                (correct_user_id, 'user_id')
-            )
-            count = cursor.rowcount
-
-            if count > 0:
-                print(f"  {table}: Updated {count} records")
-                total_updated += count
-            else:
-                print(f"  {table}: No records to update")
-        except Exception as e:
-            print(f"  {table}: Error updating - {e}")
-            conn.rollback()
-            cursor.close()
-            conn.close()
-            return 0
-
-    conn.commit()
-    cursor.close()
-    conn.close()
-
-    print(f"\nTotal records updated: {total_updated}\n")
-    return total_updated
-
-if __name__ == "__main__":
-    print("=== FleetMind User ID Cleanup Utility ===")
-
-    # First, check how many bad records exist
-    bad_count, details = check_bad_records()
-
-    if bad_count == 0:
-        print("No cleanup needed - all records have correct user_id values!")
-        sys.exit(0)
-
-    # Get the correct user_id from API keys table
-    correct_user_id = get_first_api_key_user()
-
-    if not correct_user_id:
-        print("\nERROR: Could not determine correct user_id from API keys table")
-        print("Please run this script with the user_id as argument:")
-        print("  python cleanup_bad_user_ids.py <user_id>")
-        sys.exit(1)
-
-    print(f"\nFound API key user: {correct_user_id}")
-
-    # Auto-cleanup
-    print(f"\nProceeding with automatic cleanup...")
-    updated = cleanup_bad_records(correct_user_id)
-
-    if updated > 0:
-        print(f"\nSUCCESS: Cleanup complete! Updated {updated} records.")
-    else:
-        print("\nNo updates were made.")

fix_user_id.py

@@ -1,53 +0,0 @@
-"""Quick fix for the bad user_id record"""
-
-from database.connection import get_db_connection
-
-def fix_bad_user_id():
-    conn = get_db_connection()
-    cursor = conn.cursor()
-
-    # Get the correct user_id from api_keys table
-    cursor.execute("SELECT user_id FROM api_keys WHERE is_active = true LIMIT 1")
-    result = cursor.fetchone()
-
-    if not result:
-        print("ERROR: No active API key found")
-        cursor.close()
-        conn.close()
-        return
-
-    correct_user_id = result['user_id']
-    print(f"Found active user: {correct_user_id}")
-
-    # Update orders with bad user_id
-    cursor.execute(
-        "UPDATE orders SET user_id = %s WHERE user_id = %s",
-        (correct_user_id, 'user_id')
-    )
-    orders_updated = cursor.rowcount
-    print(f"Updated {orders_updated} orders")
-
-    # Update drivers with bad user_id
-    cursor.execute(
-        "UPDATE drivers SET user_id = %s WHERE user_id = %s",
-        (correct_user_id, 'user_id')
-    )
-    drivers_updated = cursor.rowcount
-    print(f"Updated {drivers_updated} drivers")
-
-    # Update assignments with bad user_id
-    cursor.execute(
-        "UPDATE assignments SET user_id = %s WHERE user_id = %s",
-        (correct_user_id, 'user_id')
-    )
-    assignments_updated = cursor.rowcount
-    print(f"Updated {assignments_updated} assignments")
-
-    conn.commit()
-    cursor.close()
-    conn.close()
-
-    print(f"\nTotal records fixed: {orders_updated + drivers_updated + assignments_updated}")
-
-if __name__ == "__main__":
-    fix_bad_user_id()

flow.md

@@ -1,828 +0,0 @@
-● 🔄 Complete Function Flow
-
-  Input: "Create an order for John Doe at 123 Main St, San 
-  Francisco"
-
-  Let me trace every single function call with this exact example!      
-
-  ---
-  📞 FUNCTION CALL SEQUENCE:
-
-  STEP 1: User Clicks Send Button
-
-  FILE: ui/app.py
-  LINE: 448-452
-
-  User clicks "Send" button in Gradio UI
-      ↓
-  FUNCTION CALLED: send_message(message, conv_state)
-      message = "Create an order for John Doe at 123 Main St, San       
-  Francisco"
-      conv_state = ConversationManager object
-
-  Function Code:
-  def send_message(message, conv_state):
-      """Handle send button click"""
-      chat_history, tools, new_state = handle_chat_message(message,     
-  conv_state)
-      #                                 ↑
-      #                                 CALLS THIS NEXT
-      return chat_history, tools, new_state, ""
-
-  ---
-  STEP 2: handle_chat_message()
-
-  FILE: ui/app.py
-  LINE: 223-241
-
-  FUNCTION: handle_chat_message(message, conversation_state)
-      message = "Create an order for John Doe at 123 Main St, San       
-  Francisco"
-      conversation_state = ConversationManager object
-
-  Function Code:
-  def handle_chat_message(message, conversation_state):
-      if not message.strip():
-          return ...
-
-      # Process message through chat engine
-      response, tool_calls = chat_engine.process_message(message,       
-  conversation_state)
-      #                      ↑
-      #                      CALLS THIS NEXT
-
-      # Return updated UI
-      return conversation_state.get_formatted_history(),
-  conversation_state.get_tool_calls(), conversation_state
-
-  ---
-  STEP 3: chat_engine.process_message()
-
-  FILE: chat/chat_engine.py
-  LINE: 58-73
-
-  FUNCTION: ChatEngine.process_message(user_message, conversation)      
-      user_message = "Create an order for John Doe at 123 Main St,      
-  San Francisco"
-      conversation = ConversationManager object
-
-  Function Code:
-  def process_message(self, user_message, conversation):
-      """Process user message and return AI response"""
-      return self.provider.process_message(user_message,
-  conversation)
-      #      ↑
-      #      self.provider = GeminiProvider (from chat_engine.py:26)    
-      #      CALLS GeminiProvider.process_message() NEXT
-
-  ---
-  STEP 4: GeminiProvider.process_message()
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 173-212
-
-  FUNCTION: GeminiProvider.process_message(user_message,
-  conversation)
-      user_message = "Create an order for John Doe at 123 Main St,      
-  San Francisco"
-      conversation = ConversationManager object
-
-  Function Code:
-  def process_message(self, user_message, conversation):
-      """Process user message with Gemini"""
-      if not self.api_available:
-          return self._handle_no_api(), []
-
-      # Lazy initialization on first use
-      self._ensure_initialized()  # ← CALLS THIS if not initialized     
-
-      if not self._initialized:
-          return "⚠️ Failed to initialize...", []
-
-      try:
-          # Build conversation history for Gemini
-          chat =
-  self.model.start_chat(history=self._convert_history(conversation))    
-          #                                      ↑
-          #                                      CALLS
-  _convert_history()
-
-          # Send message and get response
-          response = chat.send_message(user_message,
-  safety_settings={...})
-          #          ↑
-          #          🌐 API CALL TO GOOGLE GEMINI
-          #          Sends: "Create an order for John Doe at 123        
-  Main St, San Francisco"
-
-          # Add user message to conversation
-          conversation.add_message("user", user_message)
-
-          # Process response and handle function calls
-          return self._process_response(response, conversation,
-  chat)
-          #      ↑
-          #      CALLS THIS NEXT
-
-  ---
-  STEP 5: Gemini API Processes Request
-
-  🌐 GOOGLE GEMINI API (External)
-
-  RECEIVES:
-  - System Prompt: "You are an AI assistant for FleetMind..."
-  - User Message: "Create an order for John Doe at 123 Main St, San     
-  Francisco"
-  - Available Tools: [geocode_address, create_order]
-
-  AI ANALYZES:
-  "User wants to create an order. I have:
-   ✅ Customer Name: John Doe
-   ✅ Address: 123 Main St, San Francisco
-   ❌ GPS Coordinates: Missing!
-
-   DECISION: Call geocode_address tool first to get coordinates."       
-
-  RETURNS TO CODE:
-  response = {
-      candidates: [{
-          content: {
-              parts: [{
-                  function_call: {
-                      name: "geocode_address",
-                      args: {
-                          "address": "123 Main St, San Francisco"       
-                      }
-                  }
-              }]
-          }
-      }]
-  }
-
-  ---
-  STEP 6: _process_response() - Detects Function Call
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 226-393
-
-  FUNCTION: _process_response(response, conversation, chat)
-      response = Response from Gemini with function_call
-      conversation = ConversationManager object
-      chat = Gemini chat session
-
-  Function Code:
-  def _process_response(self, response, conversation, chat):
-      """Process Gemini's response and handle function calls"""
-      tool_calls_made = []
-
-      try:
-          # Check ALL parts for function calls
-          parts = response.candidates[0].content.parts
-          logger.info(f"Processing response with {len(parts)}
-  part(s)")
-          #            ↑
-          #            LOGS: "Processing response with 1 part(s)"       
-
-          for part in parts:
-              if hasattr(part, 'function_call'):
-                  fc = part.function_call
-                  if fc and hasattr(fc, 'name') and fc.name:
-                      has_function_call = True
-                      logger.info(f"Detected function call:
-  {fc.name}")
-                      #            ↑
-                      #            LOGS: "Detected function call:       
-  geocode_address"
-                      break
-
-          if has_function_call:
-              # Handle function calls (potentially multiple in
-  sequence)
-              current_response = response
-              max_iterations = 10
-
-              for iteration in range(max_iterations):  # ← LOOP
-  STARTS
-                  # Extract function call details
-                  first_part =
-  current_response.candidates[0].content.parts[0]
-                  function_call = first_part.function_call
-                  function_name = function_call.name  #
-  "geocode_address"
-                  function_args = dict(function_call.args)  #
-  {"address": "123 Main St, San Francisco"}
-
-                  logger.info(f"Gemini executing function:
-  {function_name} (iteration {iteration + 1})")
-                  #            ↑
-                  #            LOGS: "Gemini executing function:        
-  geocode_address (iteration 1)"
-
-                  # Execute the tool
-                  tool_result = execute_tool(function_name,
-  function_args)
-                  #             ↑
-                  #             CALLS execute_tool() NEXT
-
-  ---
-  STEP 7: execute_tool() - Routes to Handler
-
-  FILE: chat/tools.py
-  LINE: 92-118
-
-  FUNCTION: execute_tool(tool_name, tool_input)
-      tool_name = "geocode_address"
-      tool_input = {"address": "123 Main St, San Francisco"}
-
-  Function Code:
-  def execute_tool(tool_name, tool_input):
-      """Route tool execution to appropriate handler"""
-      try:
-          if tool_name == "geocode_address":
-              return handle_geocode_address(tool_input)
-              #      ↑
-              #      CALLS THIS NEXT
-          elif tool_name == "create_order":
-              return handle_create_order(tool_input)
-          else:
-              return {"success": False, "error": f"Unknown tool:        
-  {tool_name}"}
-      except Exception as e:
-          logger.error(f"Tool execution error ({tool_name}): {e}")      
-          return {"success": False, "error": str(e)}
-
-  ---
-  STEP 8: handle_geocode_address()
-
-  FILE: chat/tools.py
-  LINE: 121-150
-
-  FUNCTION: handle_geocode_address(tool_input)
-      tool_input = {"address": "123 Main St, San Francisco"}
-
-  Function Code:
-  def handle_geocode_address(tool_input):
-      """Execute geocoding tool"""
-      address = tool_input.get("address", "")  # "123 Main St, San      
-  Francisco"
-
-      if not address:
-          return {"success": False, "error": "Address is required"}     
-
-      logger.info(f"Geocoding address: {address}")
-      #            ↑
-      #            LOGS: "Geocoding address: 123 Main St, San
-  Francisco"
-
-      result = geocoding_service.geocode(address)
-      #        ↑
-      #        CALLS geocoding_service.geocode() NEXT
-
-      return {
-          "success": True,
-          "latitude": result["lat"],
-          "longitude": result["lng"],
-          "formatted_address": result["formatted_address"],
-          "confidence": result["confidence"],
-          "message": f"Address geocoded successfully
-  ({result['confidence']})"
-      }
-
-  ---
-  STEP 9: GeocodingService.geocode()
-
-  FILE: chat/geocoding.py
-  LINE: 28-65
-
-  FUNCTION: GeocodingService.geocode(address)
-      address = "123 Main St, San Francisco"
-
-  Function Code:
-  def geocode(self, address):
-      """Geocode an address to coordinates"""
-      if not address:
-          return self._error_response("Address is required")
-
-      # Use mock or real API
-      if self.use_mock:  # True (no HERE_API_KEY configured)
-          return self._geocode_mock(address)
-          #      ↑
-          #      CALLS THIS NEXT
-      else:
-          return self._geocode_here(address)
-
-  ---
-  STEP 10: _geocode_mock() - Returns Coordinates
-
-  FILE: chat/geocoding.py
-  LINE: 52-70
-
-  FUNCTION: _geocode_mock(address)
-      address = "123 Main St, San Francisco"
-
-  Function Code:
-  def _geocode_mock(self, address):
-      """Mock geocoding using city detection"""
-      address_lower = address.lower()
-
-      # Try to detect city in address
-      for city_name, (lat, lng) in CITY_COORDINATES.items():
-          if city_name in address_lower:
-              logger.info(f"Mock geocoding detected city:
-  {city_name}")
-              #            ↑
-              #            LOGS: "Mock geocoding detected city: san     
-  francisco"
-
-              return {
-                  "lat": lat,      # 37.7749
-                  "lng": lng,      # -122.4194
-                  "formatted_address": address,
-                  "confidence": "mock"
-              }
-
-      # Default to San Francisco if no city detected
-      return {
-          "lat": 37.7749,
-          "lng": -122.4194,
-          "formatted_address": address,
-          "confidence": "mock"
-      }
-
-  RETURNS:
-  {
-      "lat": 37.7749,
-      "lng": -122.4194,
-      "formatted_address": "123 Main St, San Francisco",
-      "confidence": "mock"
-  }
-
-  ---
-  STEP 11: Back to handle_geocode_address()
-
-  FILE: chat/tools.py
-  LINE: 141-150
-
-  result = {
-      "lat": 37.7749,
-      "lng": -122.4194,
-      "formatted_address": "123 Main St, San Francisco",
-      "confidence": "mock"
-  }
-
-  RETURNS:
-  {
-      "success": True,
-      "latitude": 37.7749,
-      "longitude": -122.4194,
-      "formatted_address": "123 Main St, San Francisco",
-      "confidence": "mock",
-      "message": "Address geocoded successfully (mock)"
-  }
-
-  ---
-  STEP 12: Back to _process_response() - Tool Result Received
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 285-310
-
-  tool_result = {
-      "success": True,
-      "latitude": 37.7749,
-      "longitude": -122.4194,
-      "formatted_address": "123 Main St, San Francisco",
-      "confidence": "mock",
-      "message": "Address geocoded successfully (mock)"
-  }
-
-  # Track for transparency
-  tool_calls_made.append({
-      "tool": "geocode_address",
-      "input": {"address": "123 Main St, San Francisco"},
-      "result": tool_result
-  })
-
-  conversation.add_tool_result("geocode_address", function_args,        
-  tool_result)
-
-  # Send function result back to Gemini
-  current_response = chat.send_message(
-      genai.protos.Content(
-          parts=[genai.protos.Part(
-              function_response=genai.protos.FunctionResponse(
-                  name="geocode_address",
-                  response={"result": tool_result}
-              )
-          )]
-      )
-  )
-  #  ↑
-  #  🌐 API CALL TO GEMINI WITH GEOCODING RESULT
-
-  ---
-  STEP 13: Gemini Receives Geocoding Result
-
-  🌐 GOOGLE GEMINI API (External)
-
-  RECEIVES:
-  - Function: geocode_address
-  - Result: {
-      "success": True,
-      "latitude": 37.7749,
-      "longitude": -122.4194
-    }
-
-  AI ANALYZES:
-  "Great! I now have GPS coordinates:
-   ✅ Customer Name: John Doe
-   ✅ Address: 123 Main St, San Francisco
-   ✅ Latitude: 37.7749
-   ✅ Longitude: -122.4194
-
-   DECISION: Now I can create the order in the database!
-             Call create_order tool."
-
-  RETURNS TO CODE:
-  response = {
-      candidates: [{
-          content: {
-              parts: [{
-                  function_call: {
-                      name: "create_order",
-                      args: {
-                          "customer_name": "John Doe",
-                          "delivery_address": "123 Main St, San
-  Francisco",
-                          "delivery_lat": 37.7749,
-                          "delivery_lng": -122.4194,
-                          "priority": "standard"
-                      }
-                  }
-              }]
-          }
-      }]
-  }
-
-  ---
-  STEP 14: Loop Continues - Detects create_order
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 252-285
-
-  # Still in the for loop (iteration 2)
-  first_part = current_response.candidates[0].content.parts[0]
-  has_fc = True  # Another function call detected
-
-  function_call = first_part.function_call
-  function_name = function_call.name  # "create_order"
-  function_args = dict(function_call.args)  # {customer_name,
-  address, lat, lng...}
-
-  logger.info(f"Gemini executing function: {function_name}
-  (iteration 2)")
-  #            ↑
-  #            LOGS: "Gemini executing function: create_order
-  (iteration 2)"
-
-  # Execute the tool
-  tool_result = execute_tool(function_name, function_args)
-  #             ↑
-  #             CALLS execute_tool() AGAIN
-
-  ---
-  STEP 15: execute_tool() - Routes to create_order
-
-  FILE: chat/tools.py
-  LINE: 92-118
-
-  FUNCTION: execute_tool(tool_name, tool_input)
-      tool_name = "create_order"
-      tool_input = {
-          "customer_name": "John Doe",
-          "delivery_address": "123 Main St, San Francisco",
-          "delivery_lat": 37.7749,
-          "delivery_lng": -122.4194,
-          "priority": "standard"
-      }
-
-  Function Code:
-  def execute_tool(tool_name, tool_input):
-      try:
-          if tool_name == "geocode_address":
-              return handle_geocode_address(tool_input)
-          elif tool_name == "create_order":
-              return handle_create_order(tool_input)
-              #      ↑
-              #      CALLS THIS NEXT
-
-  ---
-  STEP 16: handle_create_order()
-
-  FILE: chat/tools.py
-  LINE: 153-242
-
-  FUNCTION: handle_create_order(tool_input)
-      tool_input = {
-          "customer_name": "John Doe",
-          "delivery_address": "123 Main St, San Francisco",
-          "delivery_lat": 37.7749,
-          "delivery_lng": -122.4194,
-          "priority": "standard"
-      }
-
-  Function Code:
-  def handle_create_order(tool_input):
-      """Execute order creation tool"""
-
-      # Extract fields with defaults
-      customer_name = tool_input.get("customer_name")  # "John Doe"     
-      customer_phone = tool_input.get("customer_phone")  # None
-      customer_email = tool_input.get("customer_email")  # None
-      delivery_address = tool_input.get("delivery_address")  # "123     
-  Main St, San Francisco"
-      delivery_lat = tool_input.get("delivery_lat")  # 37.7749
-      delivery_lng = tool_input.get("delivery_lng")  # -122.4194        
-      priority = tool_input.get("priority", "standard")  #
-  "standard"
-      special_instructions = tool_input.get("special_instructions")     
-   # None
-      weight_kg = tool_input.get("weight_kg", 5.0)  # 5.0
-
-      # Validate required fields
-      if not all([customer_name, delivery_address, delivery_lat,        
-  delivery_lng]):
-          return {"success": False, "error": "Missing required
-  fields..."}
-
-      # Generate order ID
-      now = datetime.now()
-      order_id = f"ORD-{now.strftime('%Y%m%d%H%M%S')}"
-      #          ↑
-      #          e.g., "ORD-20251114015858"
-
-      # Handle time window
-      time_window_end = now + timedelta(hours=6)  # 6 hours from now    
-      time_window_start = now + timedelta(hours=2)  # 2 hours from      
-  now
-
-      # Insert into database
-      query = """
-          INSERT INTO orders (
-              order_id, customer_name, customer_phone,
-  customer_email,
-              delivery_address, delivery_lat, delivery_lng,
-              time_window_start, time_window_end,
-              priority, weight_kg, status, special_instructions
-          ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,     
-  %s)
-      """
-
-      params = (
-          order_id,                # "ORD-20251114015858"
-          customer_name,           # "John Doe"
-          customer_phone,          # None
-          customer_email,          # None
-          delivery_address,        # "123 Main St, San Francisco"       
-          delivery_lat,            # 37.7749
-          delivery_lng,            # -122.4194
-          time_window_start,       # 2025-11-14 03:58:58
-          time_window_end,         # 2025-11-14 07:58:58
-          priority,                # "standard"
-          weight_kg,               # 5.0
-          "pending",               # status
-          special_instructions     # None
-      )
-
-      try:
-          execute_write(query, params)
-          #     ↑
-          #     CALLS THIS NEXT - DATABASE WRITE!
-
-  ---
-  STEP 17: execute_write() - INSERT INTO DATABASE
-
-  FILE: database/connection.py
-  LINE: 71-97
-
-  FUNCTION: execute_write(query, params)
-      query = "INSERT INTO orders (...) VALUES (%s, %s, ...)"
-      params = ("ORD-20251114015858", "John Doe", None, None, "123      
-  Main St...", ...)
-
-  Function Code:
-  def execute_write(query, params=None):
-      """Execute a write query (INSERT, UPDATE, DELETE)"""
-      try:
-          # Connect to PostgreSQL
-          conn = get_db_connection()
-          #      ↑
-          #      Opens connection to localhost:5432/fleetmind
-
-          logger.info("Database connection established:
-  fleetmind@localhost")
-
-          cursor = conn.cursor()
-
-          # Execute INSERT query
-          cursor.execute(query, params)
-          #     ↑
-          #     💾 EXECUTES SQL:
-          #     INSERT INTO orders (order_id, customer_name, ...)       
-          #     VALUES ('ORD-20251114015858', 'John Doe', ...)
-
-          conn.commit()  # ← SAVES TO POSTGRESQL PERMANENTLY!
-
-          rows_affected = cursor.rowcount  # 1
-
-          cursor.close()
-          conn.close()
-
-          logger.info("Database connection closed")
-
-          return rows_affected  # Returns 1
-
-  DATABASE STATE:
-  -- New row added to orders table:
-  ORDER_ID: ORD-20251114015858
-  CUSTOMER_NAME: John Doe
-  CUSTOMER_PHONE: NULL
-  CUSTOMER_EMAIL: NULL
-  DELIVERY_ADDRESS: 123 Main St, San Francisco
-  DELIVERY_LAT: 37.7749
-  DELIVERY_LNG: -122.4194
-  STATUS: pending
-  PRIORITY: standard
-  WEIGHT_KG: 5.0
-  CREATED_AT: 2025-11-14 01:58:58
-
-  ---
-  STEP 18: Back to handle_create_order() - Success!
-
-  FILE: chat/tools.py
-  LINE: 224-242
-
-  execute_write(query, params)  # Returned 1 (success)
-
-  logger.info(f"Order created: {order_id}")
-  #            ↑
-  #            LOGS: "Order created: ORD-20251114015858"
-
-  return {
-      "success": True,
-      "order_id": "ORD-20251114015858",
-      "status": "pending",
-      "customer": "John Doe",
-      "address": "123 Main St, San Francisco",
-      "deadline": "2025-11-14 07:58",
-      "priority": "standard",
-      "message": "Order ORD-20251114015858 created successfully!"       
-  }
-
-  ---
-  STEP 19: Back to _process_response() - Second Tool Complete
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 285-310
-
-  tool_result = {
-      "success": True,
-      "order_id": "ORD-20251114015858",
-      "status": "pending",
-      "customer": "John Doe",
-      ...
-  }
-
-  # Track for transparency
-  tool_calls_made.append({
-      "tool": "create_order",
-      "input": {
-          "customer_name": "John Doe",
-          "delivery_address": "123 Main St, San Francisco",
-          "delivery_lat": 37.7749,
-          "delivery_lng": -122.4194
-      },
-      "result": tool_result
-  })
-
-  conversation.add_tool_result("create_order", function_args,
-  tool_result)
-
-  # Send function result back to Gemini
-  current_response = chat.send_message(
-      genai.protos.Content(
-          parts=[genai.protos.Part(
-              function_response=genai.protos.FunctionResponse(
-                  name="create_order",
-                  response={"result": tool_result}
-              )
-          )]
-      )
-  )
-  #  ↑
-  #  🌐 API CALL TO GEMINI WITH ORDER CREATION RESULT
-
-  ---
-  STEP 20: Gemini Generates Final Response
-
-  🌐 GOOGLE GEMINI API (External)
-
-  RECEIVES:
-  - Function: create_order
-  - Result: {
-      "success": True,
-      "order_id": "ORD-20251114015858",
-      "customer": "John Doe",
-      "address": "123 Main St, San Francisco"
-    }
-
-  AI ANALYZES:
-  "Perfect! Order successfully created in database!
-   Let me tell the user with a nice summary."
-
-  GENERATES TEXT RESPONSE:
-  "Awesome! I have created the order for John Doe.
-
-  **Here's a summary:**
-  • Order ID: ORD-20251114015858
-  • Customer: John Doe
-  • Address: 123 Main St, San Francisco
-  • Status: Pending
-  • Priority: Standard
-
-  The order has been successfully saved to the database!"
-
-  RETURNS TO CODE:
-  response = {
-      candidates: [{
-          content: {
-              parts: [{
-                  text: "Awesome! I have created the order for John     
-  Doe.\n\n**Here's a summary:**..."
-              }]
-          }
-      }]
-  }
-
-  ---
-  STEP 21: _process_response() - Extract Final Text
-
-  FILE: chat/providers/gemini_provider.py
-  LINE: 272-356
-
-  # Loop detects no more function calls
-  logger.info(f"No more function calls after iteration 2")
-
-  # Extract text from final response
-  parts = current_response.candidates[0].content.parts
-  logger.info(f"Extracting text from {len(parts)} parts")
-
-  for idx, part in enumerate(parts):
-      if hasattr(part, 'text') and part.text:
-          logger.info(f"Part {idx} has text: {part.text[:50]}...")      
-          final_text += part.text
-
-  # final_text = "Awesome! I have created the order for John Doe..."    
-
-  logger.info(f"Returning response: {final_text[:100]}")
-
-  conversation.add_message("assistant", final_text)
-
-  return final_text, tool_calls_made
-  #      ↑           ↑
-  #      Response    List of 2 tool calls [geocode, create_order]       
-
-  RETURNS:
-  (
-      "Awesome! I have created the order for John Doe.\n\n**Here's a    
-   summary:**...",
-      [
-          {"tool": "geocode_address", "input": {...}, "result":
-  {...}},
-          {"tool": "create_order", "input": {...}, "result": {...}}     
-      ]
-  )
-
-  ---
-  STEP 22: Back Through All Functions
-
-  ← Returns to: GeminiProvider.process_message() (line 206)
-  ← Returns to: ChatEngine.process_message() (line 58)
-  ← Returns to: handle_chat_message() (line 223)
-  ← Returns to: send_message() (line 443)
-  ← Returns to: Gradio UI (line 448)
-
-  ---
-  STEP 23: Gradio Updates UI
-
-  FILE: ui/app.py
-  LINE: 448-452
-
-  send_btn.click(
-      fn=send_message,
-      outputs=[chatbot, tool_display, conversation_state, msg_input]    
-      #        ↑        ↑
-      #        Updates  Shows tool calls
-  )
-
-  CHATBOT DISPLAYS:
-  User: "Create an order for John Doe at 123 Main St, San Francisco"    

launcher.py

@@ -1,65 +0,0 @@
-"""
-FleetMind Unified Launcher
-Runs both Gradio UI and MCP SSE server together
-"""
-
-import subprocess
-import sys
-import time
-import signal
-import os
-
-# Store processes for cleanup
-processes = []
-
-def signal_handler(sig, frame):
-    """Handle shutdown gracefully"""
-    print("\n\n👋 Shutting down FleetMind...")
-    for proc in processes:
-        proc.terminate()
-    sys.exit(0)
-
-# Register signal handler
-signal.signal(signal.SIGINT, signal_handler)
-signal.signal(signal.SIGTERM, signal_handler)
-
-print("=" * 70)
-print("FleetMind - Unified Launcher (Gradio UI + MCP SSE Server)")
-print("=" * 70)
-
-# Start MCP SSE server (app.py) in background
-print("\n[1/2] Starting MCP SSE server...")
-mcp_process = subprocess.Popen(
-    [sys.executable, "app.py"],
-    stdout=subprocess.PIPE,
-    stderr=subprocess.STDOUT,
-    text=True,
-    bufsize=1
-)
-processes.append(mcp_process)
-print("✅ MCP SSE server started (background)")
-
-# Give MCP server time to initialize
-time.sleep(2)
-
-# Start Gradio UI (ui/app.py) in foreground
-print("\n[2/2] Starting Gradio UI...")
-print("=" * 70)
-ui_process = subprocess.Popen(
-    [sys.executable, "ui/app.py"],
-    stdout=sys.stdout,
-    stderr=sys.stderr
-)
-processes.append(ui_process)
-
-print("\n✅ Both services running!")
-print("=" * 70)
-print("📍 Gradio UI: http://0.0.0.0:7860")
-print("📍 MCP SSE: http://0.0.0.0:7860/sse")
-print("=" * 70)
-
-# Wait for UI process (it blocks)
-try:
-    ui_process.wait()
-except KeyboardInterrupt:
-    signal_handler(None, None)

scripts/test_db.py

@@ -1,169 +0,0 @@
-"""
-Test script to verify PostgreSQL database operations
-"""
-
-import sys
-from pathlib import Path
-from datetime import datetime, timedelta
-
-# Add parent directory to path
-sys.path.insert(0, str(Path(__file__).parent.parent))
-
-from database.connection import execute_query, execute_write
-import logging
-
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-def test_insert_order():
-    """Test inserting a new order"""
-    logger.info("Testing order insertion...")
-
-    now = datetime.now()
-    time_window_start = now + timedelta(hours=2)
-    time_window_end = now + timedelta(hours=6)
-
-    query = """
-        INSERT INTO orders (
-            order_id, customer_name, customer_phone, customer_email,
-            delivery_address, delivery_lat, delivery_lng,
-            time_window_start, time_window_end,
-            priority, weight_kg, status
-        ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
-    """
-
-    params = (
-        "ORD-TEST-001",
-        "John Doe",
-        "+1-555-0123",
-        "john.doe@example.com",
-        "123 Main Street, San Francisco, CA 94103",
-        37.7749,
-        -122.4194,
-        time_window_start,
-        time_window_end,
-        "standard",
-        5.5,
-        "pending"
-    )
-
-    try:
-        result = execute_write(query, params)
-        logger.info(f"✓ Order inserted successfully (rows affected: {result})")
-        return True
-    except Exception as e:
-        logger.error(f"✗ Failed to insert order: {e}")
-        return False
-
-
-def test_query_orders():
-    """Test querying orders"""
-    logger.info("Testing order query...")
-
-    query = "SELECT * FROM orders WHERE status = %s"
-    params = ("pending",)
-
-    try:
-        results = execute_query(query, params)
-        logger.info(f"✓ Query successful: Found {len(results)} pending orders")
-
-        for row in results:
-            logger.info(f"  Order ID: {row['order_id']}")
-            logger.info(f"  Customer: {row['customer_name']}")
-            logger.info(f"  Address: {row['delivery_address']}")
-            logger.info(f"  Priority: {row['priority']}")
-            logger.info(f"  Status: {row['status']}")
-            logger.info("  ---")
-
-        return True
-    except Exception as e:
-        logger.error(f"✗ Failed to query orders: {e}")
-        return False
-
-
-def test_update_order():
-    """Test updating an order"""
-    logger.info("Testing order update...")
-
-    query = "UPDATE orders SET status = %s, assigned_driver_id = %s WHERE order_id = %s"
-    params = ("assigned", "DRV-001", "ORD-TEST-001")
-
-    try:
-        result = execute_write(query, params)
-        logger.info(f"✓ Order updated successfully (rows affected: {result})")
-
-        # Verify update
-        verify_query = "SELECT status, assigned_driver_id FROM orders WHERE order_id = %s"
-        verify_result = execute_query(verify_query, ("ORD-TEST-001",))
-
-        if verify_result:
-            row = verify_result[0]
-            logger.info(f"  New status: {row['status']}")
-            logger.info(f"  Assigned driver: {row['assigned_driver_id']}")
-
-        return True
-    except Exception as e:
-        logger.error(f"✗ Failed to update order: {e}")
-        return False
-
-
-def test_delete_order():
-    """Test deleting the test order"""
-    logger.info("Testing order deletion (cleanup)...")
-
-    query = "DELETE FROM orders WHERE order_id = %s"
-    params = ("ORD-TEST-001",)
-
-    try:
-        result = execute_write(query, params)
-        logger.info(f"✓ Order deleted successfully (rows affected: {result})")
-        return True
-    except Exception as e:
-        logger.error(f"✗ Failed to delete order: {e}")
-        return False
-
-
-def main():
-    """Run all database tests"""
-    logger.info("=" * 50)
-    logger.info("Starting FleetMind PostgreSQL Database Tests")
-    logger.info("=" * 50)
-
-    tests = [
-        ("Insert Order", test_insert_order),
-        ("Query Orders", test_query_orders),
-        ("Update Order", test_update_order),
-        ("Delete Order", test_delete_order),
-    ]
-
-    results = []
-    for test_name, test_func in tests:
-        logger.info(f"\n--- {test_name} ---")
-        success = test_func()
-        results.append((test_name, success))
-
-    # Summary
-    logger.info("\n" + "=" * 50)
-    logger.info("Test Summary")
-    logger.info("=" * 50)
-
-    passed = sum(1 for _, success in results if success)
-    total = len(results)
-
-    for test_name, success in results:
-        status = "✓ PASSED" if success else "✗ FAILED"
-        logger.info(f"{test_name}: {status}")
-
-    logger.info(f"\nTotal: {passed}/{total} tests passed")
-
-    if passed == total:
-        logger.info("\n🎉 All tests passed! Your PostgreSQL database is working correctly!")
-        return 0
-    else:
-        logger.error("\n❌ Some tests failed. Please check the errors above.")
-        return 1
-
-
-if __name__ == "__main__":
-    sys.exit(main())

server.py

@@ -18,6 +18,10 @@ from contextvars import ContextVar
 # Add project root to path
 sys.path.insert(0, str(Path(__file__).parent))
 
+# Ensure logs directory exists
+logs_dir = Path(__file__).parent / 'logs'
+logs_dir.mkdir(exist_ok=True)
+
 from fastmcp import FastMCP
 
 # Import existing services (unchanged)
@@ -32,7 +36,7 @@ logging.basicConfig(
     level=logging.INFO,
     format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
     handlers=[
-        logging.FileHandler('logs/fleetmind_mcp.log'),
+        logging.FileHandler(logs_dir / 'fleetmind_mcp.log'),
         logging.StreamHandler()
     ]
 )

test_assignment_system.py

@@ -1,225 +0,0 @@
-"""
-Test script for FleetMind Assignment System
-Tests all 4 assignment tools and cascading logic
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment,
-    handle_get_assignment_details,
-    handle_update_assignment,
-    handle_unassign_order,
-    handle_delete_order,
-    handle_delete_driver,
-    handle_update_order,
-    handle_update_driver
-)
-
-print("=" * 70)
-print("FleetMind Assignment System Test")
-print("=" * 70)
-
-# Test 1: Create test order
-print("\n[TEST 1] Creating test order...")
-order_result = handle_create_order({
-    "customer_name": "Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Tejgaon College, Dhaka",
-    "delivery_lat": 23.7549,
-    "delivery_lng": 90.3909,
-    "priority": "standard",
-    "weight_kg": 5.0
-})
-
-if order_result.get("success"):
-    order_id = order_result["order_id"]
-    print(f"SUCCESS: Order created: {order_id}")
-    print(f"  Status: {order_result.get('status', 'N/A')}")
-else:
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-# Test 2: Create test driver
-print("\n[TEST 2] Creating test driver...")
-driver_result = handle_create_driver({
-    "name": "Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7808,
-    "current_lng": 90.4130
-})
-
-if driver_result.get("success"):
-    driver_id = driver_result["driver_id"]
-    print(f"SUCCESS: Driver created: {driver_id}")
-    print(f"  Status: {driver_result.get('status', 'N/A')}")
-else:
-    print(f"FAILED: {driver_result.get('error')}")
-    sys.exit(1)
-
-# Test 3: Create assignment (assign order to driver)
-print("\n[TEST 3] Creating assignment (assigning order to driver)...")
-assignment_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver_id
-})
-
-if assignment_result.get("success"):
-    assignment_id = assignment_result["assignment_id"]
-    print(f"SUCCESS: Assignment created: {assignment_id}")
-    route = assignment_result.get("route", {})
-    if route:
-        distance = route.get('distance', 'N/A')
-        duration = route.get('duration', 'N/A')
-        summary = route.get('route_summary', 'N/A')
-        print(f"  Route distance: {distance}")
-        print(f"  Route duration: {duration}")
-        print(f"  Route summary: {summary}")
-else:
-    print(f"FAILED: {assignment_result.get('error')}")
-    sys.exit(1)
-
-# Test 4: Get assignment details
-print("\n[TEST 4] Getting assignment details...")
-details_result = handle_get_assignment_details({
-    "assignment_id": assignment_id
-})
-
-if details_result.get("success"):
-    assignments = details_result.get("assignments", [])
-    if assignments:
-        asn = assignments[0]
-        print(f"SUCCESS: Found assignment {asn['assignment_id']}")
-        print(f"  Order: {asn['order_id']} (Customer: {asn.get('customer_name', 'N/A')})")
-        print(f"  Driver: {asn['driver_id']} (Name: {asn.get('driver_name', 'N/A')})")
-        print(f"  Status: {asn['status']}")
-        print(f"  Distance: {asn.get('route_distance_meters', 0)} meters")
-        print(f"  Duration: {asn.get('route_duration_seconds', 0)} seconds")
-else:
-    print(f"FAILED: {details_result.get('error')}")
-
-# Test 5: Try to delete order with active assignment (should fail)
-print("\n[TEST 5] Trying to delete order with active assignment (should fail)...")
-delete_order_result = handle_delete_order({
-    "order_id": order_id,
-    "confirm": True
-})
-
-if not delete_order_result.get("success"):
-    print(f"SUCCESS: Deletion blocked as expected")
-    print(f"  Error: {delete_order_result.get('error', 'N/A')[:100]}...")
-else:
-    print(f"FAILED: Order deletion should have been blocked!")
-
-# Test 6: Try to delete driver with active assignment (should fail)
-print("\n[TEST 6] Trying to delete driver with active assignment (should fail)...")
-delete_driver_result = handle_delete_driver({
-    "driver_id": driver_id,
-    "confirm": True
-})
-
-if not delete_driver_result.get("success"):
-    print(f"SUCCESS: Deletion blocked as expected")
-    print(f"  Error: {delete_driver_result.get('error', 'N/A')[:100]}...")
-else:
-    print(f"FAILED: Driver deletion should have been blocked!")
-
-# Test 7: Update assignment to in_progress
-print("\n[TEST 7] Updating assignment status to 'in_progress'...")
-update_result = handle_update_assignment({
-    "assignment_id": assignment_id,
-    "status": "in_progress"
-})
-
-if update_result.get("success"):
-    print(f"SUCCESS: Assignment updated to in_progress")
-    if update_result.get("cascading_actions"):
-        print(f"  Cascading actions: {update_result['cascading_actions']}")
-else:
-    print(f"FAILED: {update_result.get('error')}")
-
-# Test 8: Update assignment to completed
-print("\n[TEST 8] Updating assignment status to 'completed'...")
-update_result = handle_update_assignment({
-    "assignment_id": assignment_id,
-    "status": "completed"
-})
-
-if update_result.get("success"):
-    print(f"SUCCESS: Assignment completed")
-    if update_result.get("cascading_actions"):
-        print(f"  Cascading actions: {update_result['cascading_actions']}")
-else:
-    print(f"FAILED: {update_result.get('error')}")
-
-# Test 9: Verify order status changed to 'delivered'
-print("\n[TEST 9] Verifying order status changed to 'delivered'...")
-from database.connection import get_db_connection
-conn = get_db_connection()
-cursor = conn.cursor()
-cursor.execute("SELECT status FROM orders WHERE order_id = %s", (order_id,))
-result = cursor.fetchone()
-cursor.close()
-conn.close()
-
-if result and result['status'] == "delivered":
-    print(f"SUCCESS: Order status is 'delivered'")
-else:
-    print(f"FAILED: Order status is '{result['status'] if result else 'NOT FOUND'}'")
-
-# Test 10: Verify driver status changed back to 'active'
-print("\n[TEST 10] Verifying driver status changed back to 'active'...")
-conn = get_db_connection()
-cursor = conn.cursor()
-cursor.execute("SELECT status FROM drivers WHERE driver_id = %s", (driver_id,))
-result = cursor.fetchone()
-cursor.close()
-conn.close()
-
-if result and result['status'] == "active":
-    print(f"SUCCESS: Driver status is 'active'")
-else:
-    print(f"FAILED: Driver status is '{result['status'] if result else 'NOT FOUND'}'")
-
-# Test 11: Now delete order (should succeed - assignment is completed)
-print("\n[TEST 11] Deleting order with completed assignment (should succeed)...")
-delete_order_result = handle_delete_order({
-    "order_id": order_id,
-    "confirm": True
-})
-
-if delete_order_result.get("success"):
-    print(f"SUCCESS: Order deleted")
-    if delete_order_result.get("cascading_info"):
-        print(f"  Cascading info: {delete_order_result['cascading_info']}")
-else:
-    print(f"FAILED: {delete_order_result.get('error')}")
-
-# Test 12: Now delete driver (should fail - has assignment history)
-print("\n[TEST 12] Trying to delete driver with assignment history (should fail)...")
-delete_driver_result = handle_delete_driver({
-    "driver_id": driver_id,
-    "confirm": True
-})
-
-if not delete_driver_result.get("success"):
-    print(f"SUCCESS: Deletion blocked (driver has assignment history)")
-    print(f"  Total assignments: {delete_driver_result.get('total_assignments', 'N/A')}")
-else:
-    print(f"NOTICE: Driver deleted (assignment was cascade deleted with order)")
-
-print("\n" + "=" * 70)
-print("Assignment System Test Complete")
-print("=" * 70)
-print("\nAll critical tests passed!")
-print("\nKey Findings:")
-print("  - Assignment creation works with route calculation")
-print("  - Cascading status updates work correctly")
-print("  - Safety checks prevent invalid deletions")
-print("  - Assignment lifecycle management is functional")
-print("\nAssignment system is ready for production use!")

test_auto_assignment.py

@@ -1,185 +0,0 @@
-"""
-Test script for auto assignment feature
-Verifies that auto assignment selects the nearest driver meeting all requirements:
-- Nearest driver by real-time route distance
-- Driver has sufficient vehicle capacity (weight & volume)
-- Driver has required skills (fragile handling, cold storage)
-"""
-
-import sys
-import os
-from datetime import datetime, timedelta
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_auto_assign_order,
-    handle_delete_order,
-    handle_delete_driver
-)
-
-print("=" * 70)
-print("Testing Auto Assignment Feature")
-print("=" * 70)
-
-# Test 1: Create test order (fragile, requires special handling)
-print("\n[1] Creating test order (fragile package)...")
-import time
-expected_time = datetime.now() + timedelta(hours=2)
-
-order_result = handle_create_order({
-    "customer_name": "Auto Assignment Test",
-    "customer_phone": "+8801712345670",
-    "delivery_address": "Bashundhara, Dhaka",
-    "delivery_lat": 23.8223,
-    "delivery_lng": 90.4259,
-    "expected_delivery_time": expected_time.isoformat(),
-    "priority": "urgent",
-    "weight_kg": 5.0,
-    "volume_m3": 0.5,
-    "is_fragile": True,  # Requires fragile_handler skill
-    "requires_cold_storage": False
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-print(f"  Location: Bashundhara, Dhaka (23.8223, 90.4259)")
-print(f"  Weight: 5kg, Volume: 0.5m³")
-print(f"  Fragile: YES (requires fragile_handler skill)")
-
-# Test 2: Create multiple drivers at different distances
-print("\n[2] Creating test drivers at various distances...")
-
-# Driver 1: Closest but NO fragile_handler skill (should be rejected)
-time.sleep(0.1)
-driver1_result = handle_create_driver({
-    "name": "Nearest Driver (No Skill)",
-    "phone": "+8801812345671",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8200,  # Very close to delivery
-    "current_lng": 90.4250,
-    "capacity_kg": 10.0,
-    "capacity_m3": 1.0,
-    "skills": ["express_delivery"]  # Missing fragile_handler
-})
-
-driver1_id = driver1_result["driver_id"]
-print(f"Driver 1: {driver1_id} - Nearest (23.8200, 90.4250)")
-print(f"  Skills: express_delivery (NO fragile_handler)")
-
-# Driver 2: Medium distance WITH fragile_handler skill (should be selected)
-time.sleep(0.1)
-driver2_result = handle_create_driver({
-    "name": "Medium Distance Driver (Has Skill)",
-    "phone": "+8801812345672",
-    "vehicle_type": "van",
-    "current_lat": 23.8000,  # Medium distance
-    "current_lng": 90.4000,
-    "capacity_kg": 15.0,
-    "capacity_m3": 2.0,
-    "skills": ["fragile_handler", "express_delivery"]  # Has fragile_handler
-})
-
-driver2_id = driver2_result["driver_id"]
-print(f"Driver 2: {driver2_id} - Medium (23.8000, 90.4000)")
-print(f"  Skills: fragile_handler, express_delivery (HAS required skill)")
-
-# Driver 3: Far away WITH fragile_handler but INSUFFICIENT capacity (should be rejected)
-time.sleep(0.1)
-driver3_result = handle_create_driver({
-    "name": "Far Driver (Low Capacity)",
-    "phone": "+8801812345673",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7500,  # Far away
-    "current_lng": 90.3500,
-    "capacity_kg": 3.0,  # Too small for 5kg package
-    "capacity_m3": 0.3,
-    "skills": ["fragile_handler"]  # Has skill but insufficient capacity
-})
-
-driver3_id = driver3_result["driver_id"]
-print(f"Driver 3: {driver3_id} - Farthest (23.7500, 90.3500)")
-print(f"  Skills: fragile_handler BUT capacity only 3kg (package is 5kg)")
-
-# Test 3: Run auto assignment
-print("\n[3] Running auto assignment...")
-auto_result = handle_auto_assign_order({"order_id": order_id})
-
-if not auto_result.get("success"):
-    print(f"FAILED: {auto_result.get('error')}")
-    print("\nCleaning up...")
-    handle_delete_order({"order_id": order_id, "confirm": True})
-    handle_delete_driver({"driver_id": driver1_id, "confirm": True})
-    handle_delete_driver({"driver_id": driver2_id, "confirm": True})
-    handle_delete_driver({"driver_id": driver3_id, "confirm": True})
-    sys.exit(1)
-
-print(f"SUCCESS: Auto assignment completed!")
-print(f"\n  Assignment ID: {auto_result['assignment_id']}")
-print(f"  Method: {auto_result['method']}")
-print(f"  Selected Driver: {auto_result['driver_id']} ({auto_result['driver_name']})")
-print(f"  Selection Reason: {auto_result['selection_reason']}")
-print(f"  Distance: {auto_result['distance_km']} km")
-print(f"  Estimated Duration: {auto_result['estimated_duration_minutes']} minutes")
-print(f"  Candidates Evaluated: {auto_result['candidates_evaluated']}")
-print(f"  Suitable Candidates: {auto_result['suitable_candidates']}")
-
-# Test 4: Verify correct driver was selected
-print("\n[4] Verifying selection logic...")
-
-selected_driver_id = auto_result['driver_id']
-
-if selected_driver_id == driver1_id:
-    print("FAILED: Selected Driver 1 (should have been rejected - missing skill)")
-    success = False
-elif selected_driver_id == driver2_id:
-    print("SUCCESS: Selected Driver 2 (correct choice!)")
-    print("  [OK] Has fragile_handler skill")
-    print("  [OK] Has sufficient capacity (15kg > 5kg)")
-    print("  [OK] Nearest driver meeting ALL requirements")
-    success = True
-elif selected_driver_id == driver3_id:
-    print("FAILED: Selected Driver 3 (should have been rejected - insufficient capacity)")
-    success = False
-else:
-    print(f"UNEXPECTED: Selected unknown driver {selected_driver_id}")
-    success = False
-
-# Test 5: Verify that unsuitable drivers were filtered out
-print("\n[5] Verification Summary:")
-print(f"  Total drivers: 3")
-print(f"  Driver 1: [X] Rejected (missing fragile_handler skill)")
-print(f"  Driver 2: [OK] Selected (nearest with skill + capacity)")
-print(f"  Driver 3: [X] Rejected (insufficient capacity: 3kg < 5kg)")
-print(f"  Suitable candidates found: {auto_result['suitable_candidates']}")
-
-if auto_result['suitable_candidates'] == 1:
-    print("SUCCESS: Correctly identified only 1 suitable driver!")
-else:
-    print(f"WARNING: Expected 1 suitable candidate, got {auto_result['suitable_candidates']}")
-
-# Cleanup
-print("\n" + "=" * 70)
-print("Cleaning up test data...")
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver1_id, "confirm": True})
-handle_delete_driver({"driver_id": driver2_id, "confirm": True})
-handle_delete_driver({"driver_id": driver3_id, "confirm": True})
-print("Cleanup complete!")
-
-print("\n" + "=" * 70)
-print("Auto Assignment Test Complete!")
-print("=" * 70)
-print("\nSummary:")
-print("  - Auto assignment selected nearest suitable driver: [OK]" if success else "  - Auto assignment failed: [FAILED]")
-print("  - Filtered out drivers missing required skills: [OK]")
-print("  - Filtered out drivers with insufficient capacity: [OK]")
-print("  - Used real-time routing for distance calculation: [OK]")
-
-if not success:
-    sys.exit(1)

test_complete_delivery.py

@@ -1,178 +0,0 @@
-"""
-Test script for complete_delivery tool
-Verifies that delivery completion updates driver location correctly
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment,
-    handle_complete_delivery,
-    handle_get_driver_details,
-    handle_get_assignment_details
-)
-
-print("=" * 70)
-print("Testing Delivery Completion Workflow")
-print("=" * 70)
-
-# Step 1: Create test order
-print("\n[1] Creating test order...")
-order_result = handle_create_order({
-    "customer_name": "Completion Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Ahsanullah University, Dhaka",
-    "delivery_lat": 23.7808,
-    "delivery_lng": 90.4130,
-    "priority": "standard",
-    "weight_kg": 3.0
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-
-# Step 2: Create test driver at different location
-print("\n[2] Creating test driver at starting location...")
-driver_result = handle_create_driver({
-    "name": "Completion Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7549,  # Different from delivery location
-    "current_lng": 90.3909
-})
-
-if not driver_result.get("success"):
-    print(f"FAILED: {driver_result.get('error')}")
-    sys.exit(1)
-
-driver_id = driver_result["driver_id"]
-driver_start_lat = 23.7549
-driver_start_lng = 90.3909
-print(f"SUCCESS: Driver created: {driver_id}")
-print(f"  Driver starting location: ({driver_start_lat}, {driver_start_lng})")
-
-# Step 3: Create assignment
-print("\n[3] Creating assignment...")
-assignment_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver_id
-})
-
-if not assignment_result.get("success"):
-    print(f"FAILED: {assignment_result.get('error')}")
-    sys.exit(1)
-
-assignment_id = assignment_result["assignment_id"]
-print(f"SUCCESS: Assignment created: {assignment_id}")
-
-# Step 4: Get driver details BEFORE completion
-print("\n[4] Getting driver location BEFORE delivery completion...")
-driver_before = handle_get_driver_details({"driver_id": driver_id})
-
-if driver_before.get("success"):
-    driver_data = driver_before["driver"]
-    location = driver_data["location"]
-    print(f"Driver location BEFORE: ({location['latitude']}, {location['longitude']})")
-    print(f"  Status: {driver_data['status']}")
-else:
-    print(f"FAILED to get driver details")
-
-# Step 5: Complete delivery
-print("\n[5] Completing delivery...")
-completion_result = handle_complete_delivery({
-    "assignment_id": assignment_id,
-    "confirm": True,
-    "actual_distance_meters": 4500,
-    "notes": "Delivered successfully to security desk"
-})
-
-if not completion_result.get("success"):
-    print(f"FAILED: {completion_result.get('error')}")
-    sys.exit(1)
-
-print(f"SUCCESS: Delivery completed!")
-print(f"  Assignment ID: {completion_result['assignment_id']}")
-print(f"  Order ID: {completion_result['order_id']}")
-print(f"  Customer: {completion_result['customer_name']}")
-print(f"  Driver: {completion_result['driver_name']}")
-print(f"  Completed at: {completion_result['completed_at']}")
-
-# Check driver location update
-driver_updated = completion_result.get("driver_updated", {})
-print(f"\nDriver location UPDATE:")
-print(f"  New location: {driver_updated.get('new_location', 'N/A')}")
-print(f"  Updated at: {driver_updated.get('location_updated_at', 'N/A')}")
-
-# Cascading actions
-cascading = completion_result.get("cascading_actions", [])
-if cascading:
-    print(f"\nCascading actions:")
-    for action in cascading:
-        print(f"  - {action}")
-
-# Step 6: Get driver details AFTER completion to verify location changed
-print("\n[6] Verifying driver location AFTER delivery completion...")
-driver_after = handle_get_driver_details({"driver_id": driver_id})
-
-if driver_after.get("success"):
-    driver_data = driver_after["driver"]
-    location = driver_data["location"]
-    after_lat = location['latitude']
-    after_lng = location['longitude']
-
-    print(f"Driver location AFTER: ({after_lat}, {after_lng})")
-    print(f"  Status: {driver_data['status']}")
-
-    # Verify location changed
-    delivery_lat = 23.7808
-    delivery_lng = 90.4130
-
-    if abs(after_lat - delivery_lat) < 0.0001 and abs(after_lng - delivery_lng) < 0.0001:
-        print(f"\nSUCCESS: Driver location updated to delivery address!")
-        print(f"  Expected: ({delivery_lat}, {delivery_lng})")
-        print(f"  Got:      ({after_lat}, {after_lng})")
-    else:
-        print(f"\nFAILED: Driver location NOT updated correctly")
-        print(f"  Expected: ({delivery_lat}, {delivery_lng})")
-        print(f"  Got:      ({after_lat}, {after_lng})")
-else:
-    print(f"FAILED to get driver details after completion")
-
-# Step 7: Verify assignment status
-print("\n[7] Verifying assignment status...")
-assignment_details = handle_get_assignment_details({"assignment_id": assignment_id})
-
-if assignment_details.get("success"):
-    assignment = assignment_details.get("assignment", {})
-    print(f"Assignment status: {assignment.get('status')}")
-    print(f"Actual arrival: {assignment.get('actual_arrival')}")
-
-    order = assignment.get("order", {})
-    print(f"Order status: {order.get('status')}")
-
-    if assignment.get('status') == 'completed' and order.get('status') == 'delivered':
-        print(f"\nSUCCESS: Assignment and order statuses updated correctly!")
-    else:
-        print(f"\nFAILED: Statuses not updated correctly")
-else:
-    print(f"FAILED to get assignment details")
-
-print("\n" + "=" * 70)
-print("Delivery Completion Test Complete!")
-print("=" * 70)
-
-# Cleanup
-print("\nCleaning up test data...")
-from chat.tools import handle_delete_order, handle_delete_driver
-
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver_id, "confirm": True})
-print("Cleanup complete!")

test_delivery_timing.py

@@ -1,273 +0,0 @@
-"""
-Test script for delivery timing and SLA tracking
-Verifies:
-- expected_delivery_time is mandatory when creating orders
-- On-time delivery detection
-- Late delivery detection
-- Very late delivery detection (SLA violation)
-- Failed delivery timing tracking
-"""
-
-import sys
-import os
-from datetime import datetime, timedelta
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment,
-    handle_complete_delivery,
-    handle_fail_delivery,
-    handle_get_order_details
-)
-
-print("=" * 70)
-print("Testing Delivery Timing & SLA Tracking")
-print("=" * 70)
-
-# Test 1: Create order WITHOUT expected_delivery_time (should fail)
-print("\n[1] Testing: Create order WITHOUT expected_delivery_time (should fail)...")
-result = handle_create_order({
-    "customer_name": "Test Customer",
-    "delivery_address": "Test Address",
-    "delivery_lat": 23.7808,
-    "delivery_lng": 90.4130,
-    "priority": "standard"
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "expected_delivery_time" in result.get('error', '').lower():
-        print("SUCCESS: Correctly requires expected_delivery_time!")
-    else:
-        print("WARNING: Error message should mention expected_delivery_time")
-else:
-    print("FAILED: Should have required expected_delivery_time!")
-    sys.exit(1)
-
-# Test 2: Create order with PAST expected_delivery_time (should fail)
-print("\n[2] Testing: Create order with PAST delivery time (should fail)...")
-past_time = (datetime.now() - timedelta(hours=2)).isoformat()
-result = handle_create_order({
-    "customer_name": "Test Customer",
-    "delivery_address": "Test Address",
-    "delivery_lat": 23.7808,
-    "delivery_lng": 90.4130,
-    "expected_delivery_time": past_time,
-    "priority": "standard"
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "future" in result.get('error', '').lower():
-        print("SUCCESS: Correctly validates expected_delivery_time must be in future!")
-    else:
-        print("WARNING: Error should mention time must be in future")
-else:
-    print("FAILED: Should have rejected past delivery time!")
-    sys.exit(1)
-
-# Test 3: Create valid order with expected_delivery_time
-print("\n[3] Creating valid order with expected_delivery_time...")
-# Set deadline to 2 hours from now
-expected_time = datetime.now() + timedelta(hours=2)
-order_result = handle_create_order({
-    "customer_name": "Timing Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Bashundhara, Dhaka",
-    "delivery_lat": 23.8223,
-    "delivery_lng": 90.4259,
-    "expected_delivery_time": expected_time.isoformat(),
-    "priority": "standard",
-    "weight_kg": 2.5,
-    "sla_grace_period_minutes": 15
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-print(f"  Expected delivery: {order_result.get('expected_delivery')}")
-print(f"  SLA grace period: {order_result.get('sla_grace_period_minutes')} minutes")
-
-# Test 4: Create driver
-print("\n[4] Creating test driver...")
-import time
-time.sleep(0.1)  # Avoid ID collision
-driver_result = handle_create_driver({
-    "name": "Timing Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7549,
-    "current_lng": 90.3909
-})
-
-if not driver_result.get("success"):
-    print(f"FAILED: {driver_result.get('error')}")
-    sys.exit(1)
-
-driver_id = driver_result["driver_id"]
-print(f"SUCCESS: Driver created: {driver_id}")
-
-# Test 5: Create assignment
-print("\n[5] Creating assignment...")
-assignment_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver_id
-})
-
-if not assignment_result.get("success"):
-    print(f"FAILED: {assignment_result.get('error')}")
-    sys.exit(1)
-
-assignment_id = assignment_result["assignment_id"]
-print(f"SUCCESS: Assignment created: {assignment_id}")
-
-# Test 6: Simulate ON-TIME delivery (complete before expected_delivery_time)
-print("\n[6] Testing ON-TIME delivery (before deadline)...")
-# Since we can't control system time, we check the logic exists
-completion_result = handle_complete_delivery({
-    "assignment_id": assignment_id,
-    "confirm": True,
-    "notes": "Delivered on time"
-})
-
-if not completion_result.get("success"):
-    print(f"FAILED: {completion_result.get('error')}")
-    sys.exit(1)
-
-print(f"SUCCESS: Delivery completed!")
-print(f"  Delivery status: {completion_result.get('delivery_status')}")
-print(f"  Timing info: {completion_result.get('timing', {})}")
-
-# Check timing fields
-timing = completion_result.get('timing', {})
-if 'expected_delivery_time' in timing and 'actual_delivery_time' in timing:
-    print("SUCCESS: Timing information tracked correctly!")
-    print(f"    Expected: {timing.get('expected_delivery_time')}")
-    print(f"    Actual: {timing.get('actual_delivery_time')}")
-    print(f"    Status: {timing.get('status')}")
-    if 'delay_minutes' in timing:
-        print(f"    Delay: {timing.get('delay_minutes')} minutes")
-else:
-    print("FAILED: Missing timing information!")
-
-# Test 7: Verify delivered_at was set (BUG FIX)
-print("\n[7] Verifying delivered_at field was set (BUG FIX test)...")
-order_details = handle_get_order_details({"order_id": order_id})
-if order_details.get("success"):
-    order = order_details.get("order", {})
-    timing_data = order.get("timing", {})
-    delivered_at = timing_data.get("delivered_at")
-    delivery_status = order.get("delivery_status")
-
-    if delivered_at:
-        print(f"SUCCESS: delivered_at field was set: {delivered_at}")
-    else:
-        print("FAILED: delivered_at field was NOT set (BUG NOT FIXED!)")
-
-    if delivery_status:
-        print(f"SUCCESS: delivery_status field was set: {delivery_status}")
-    else:
-        print("WARNING: delivery_status field was NOT set")
-else:
-    print(f"FAILED to get order details: {order_details.get('error')}")
-
-# Cleanup
-print("\n" + "=" * 70)
-print("Cleaning up test data...")
-from chat.tools import handle_delete_order, handle_delete_driver
-
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver_id, "confirm": True})
-print("Cleanup complete!")
-
-# Test 8: Test failed delivery timing
-print("\n" + "=" * 70)
-print("[8] Testing FAILED delivery with timing tracking...")
-
-# Create new order
-time.sleep(0.1)
-expected_time2 = datetime.now() + timedelta(hours=1)
-order_result2 = handle_create_order({
-    "customer_name": "Failed Timing Test",
-    "customer_phone": "+8801712345679",
-    "delivery_address": "Mirpur, Dhaka",
-    "delivery_lat": 23.8103,
-    "delivery_lng": 90.4125,
-    "expected_delivery_time": expected_time2.isoformat(),
-    "priority": "standard"
-})
-
-if not order_result2.get("success"):
-    print(f"FAILED: {order_result2.get('error')}")
-    sys.exit(1)
-
-order_id2 = order_result2["order_id"]
-print(f"Order created: {order_id2}")
-
-# Create driver
-time.sleep(0.1)
-driver_result2 = handle_create_driver({
-    "name": "Failed Test Driver",
-    "phone": "+8801812345679",
-    "vehicle_type": "car",
-    "current_lat": 23.7465,
-    "current_lng": 90.3760
-})
-
-driver_id2 = driver_result2["driver_id"]
-print(f"Driver created: {driver_id2}")
-
-# Create assignment
-assignment_result2 = handle_create_assignment({
-    "order_id": order_id2,
-    "driver_id": driver_id2
-})
-
-assignment_id2 = assignment_result2["assignment_id"]
-print(f"Assignment created: {assignment_id2}")
-
-# Fail delivery
-failure_result = handle_fail_delivery({
-    "assignment_id": assignment_id2,
-    "current_lat": 23.7600,
-    "current_lng": 90.3850,
-    "failure_reason": "customer_not_available",
-    "confirm": True,
-    "notes": "Customer phone was off"
-})
-
-if failure_result.get("success"):
-    print(f"SUCCESS: Failure recorded!")
-    print(f"  Delivery status: {failure_result.get('delivery_status')}")
-    print(f"  Timing info: {failure_result.get('timing', {})}")
-
-    timing = failure_result.get('timing', {})
-    if 'expected_delivery_time' in timing and 'failure_time' in timing:
-        print("SUCCESS: Failure timing information tracked!")
-        print(f"    Expected: {timing.get('expected_delivery_time')}")
-        print(f"    Failed at: {timing.get('failure_time')}")
-        print(f"    Status: {timing.get('status')}")
-else:
-    print(f"FAILED: {failure_result.get('error')}")
-
-# Cleanup
-print("\nCleaning up failed delivery test data...")
-handle_delete_order({"order_id": order_id2, "confirm": True})
-handle_delete_driver({"driver_id": driver_id2, "confirm": True})
-print("Cleanup complete!")
-
-print("\n" + "=" * 70)
-print("Delivery Timing & SLA Tracking Test Complete!")
-print("=" * 70)
-print("\nSummary:")
-print("  - expected_delivery_time is mandatory: YES")
-print("  - Past delivery times rejected: YES")
-print("  - delivered_at field gets set: YES (BUG FIXED)")
-print("  - delivery_status tracked: YES")
-print("  - Timing information returned: YES")
-print("  - Failed delivery timing tracked: YES")

test_directions.py

@@ -1,111 +0,0 @@
-"""
-Quick test to verify route directions are being stored
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment,
-    handle_get_assignment_details
-)
-
-print("=" * 70)
-print("Testing Route Directions Storage")
-print("=" * 70)
-
-# Create test order
-print("\n[1] Creating test order...")
-order_result = handle_create_order({
-    "customer_name": "Direction Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Tejgaon College, Dhaka",
-    "delivery_lat": 23.7549,
-    "delivery_lng": 90.3909,
-    "priority": "standard",
-    "weight_kg": 5.0
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-
-# Create test driver
-print("\n[2] Creating test driver...")
-driver_result = handle_create_driver({
-    "name": "Direction Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7808,
-    "current_lng": 90.4130
-})
-
-if not driver_result.get("success"):
-    print(f"FAILED: {driver_result.get('error')}")
-    sys.exit(1)
-
-driver_id = driver_result["driver_id"]
-print(f"SUCCESS: Driver created: {driver_id}")
-
-# Create assignment (this should now store directions)
-print("\n[3] Creating assignment with route directions...")
-assignment_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver_id
-})
-
-if not assignment_result.get("success"):
-    print(f"FAILED: {assignment_result.get('error')}")
-    sys.exit(1)
-
-assignment_id = assignment_result["assignment_id"]
-print(f"SUCCESS: Assignment created: {assignment_id}")
-
-# Get assignment details to verify directions are stored
-print("\n[4] Retrieving assignment details to check directions...")
-details_result = handle_get_assignment_details({
-    "assignment_id": assignment_id
-})
-
-if not details_result.get("success"):
-    print(f"FAILED: {details_result.get('error')}")
-    sys.exit(1)
-
-assignment = details_result.get("assignment", {})
-route = assignment.get("route", {})
-directions = route.get("directions")
-
-if directions:
-    print(f"SUCCESS: Route directions are stored!")
-    print(f"  Number of steps: {len(directions)}")
-    print(f"\n  First 3 steps:")
-    for i, step in enumerate(directions[:3], 1):
-        instruction = step.get("instruction", "N/A")
-        # Distance might be int (meters) or dict with text
-        distance_val = step.get("distance", 0)
-        if isinstance(distance_val, dict):
-            distance = distance_val.get("text", "N/A")
-        else:
-            distance = f"{distance_val}m"
-        print(f"    {i}. {instruction} ({distance})")
-else:
-    print("WARNING: No directions found in assignment")
-    print(f"  This might mean the Routes API didn't return step-by-step directions")
-
-print("\n" + "=" * 70)
-print("Test Complete!")
-print("=" * 70)
-
-# Cleanup
-print("\nCleaning up test data...")
-from chat.tools import handle_delete_order, handle_delete_driver
-
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver_id, "confirm": True})
-print("Cleanup complete!")

test_driver_validation.py

@@ -1,187 +0,0 @@
-"""
-Test script for driver creation validation
-Verifies that drivers cannot be created without required fields:
-- name
-- vehicle_type
-- current_lat
-- current_lng
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import handle_create_driver
-
-print("=" * 70)
-print("Testing Driver Creation Validation")
-print("=" * 70)
-
-# Test 1: Create driver WITHOUT name (should fail)
-print("\n[1] Testing: Create driver WITHOUT name (should fail)...")
-result = handle_create_driver({
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103,
-    "current_lng": 90.4125
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "name" in result.get('error', '').lower():
-        print("SUCCESS: Correctly requires name!")
-    else:
-        print("WARNING: Error message should mention 'name'")
-else:
-    print(f"FAILED: Should have required name! Created: {result.get('driver_id')}")
-    sys.exit(1)
-
-# Test 2: Create driver WITHOUT vehicle_type (should fail)
-print("\n[2] Testing: Create driver WITHOUT vehicle_type (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "current_lat": 23.8103,
-    "current_lng": 90.4125
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "vehicle_type" in result.get('error', '').lower():
-        print("SUCCESS: Correctly requires vehicle_type!")
-    else:
-        print("WARNING: Error message should mention 'vehicle_type'")
-else:
-    print(f"FAILED: Should have required vehicle_type! Created: {result.get('driver_id')}")
-    sys.exit(1)
-
-# Test 3: Create driver WITHOUT current_lat (should fail)
-print("\n[3] Testing: Create driver WITHOUT current_lat (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "vehicle_type": "motorcycle",
-    "current_lng": 90.4125
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "current_lat" in result.get('error', '').lower():
-        print("SUCCESS: Correctly requires current_lat!")
-    else:
-        print("WARNING: Error message should mention 'current_lat'")
-else:
-    print(f"FAILED: Should have required current_lat! Created: {result.get('driver_id')}")
-    sys.exit(1)
-
-# Test 4: Create driver WITHOUT current_lng (should fail)
-print("\n[4] Testing: Create driver WITHOUT current_lng (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "current_lng" in result.get('error', '').lower():
-        print("SUCCESS: Correctly requires current_lng!")
-    else:
-        print("WARNING: Error message should mention 'current_lng'")
-else:
-    print(f"FAILED: Should have required current_lng! Created: {result.get('driver_id')}")
-    sys.exit(1)
-
-# Test 5: Create driver with INVALID latitude (should fail)
-print("\n[5] Testing: Create driver with invalid latitude (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "vehicle_type": "motorcycle",
-    "current_lat": 95.0,  # Invalid - must be -90 to 90
-    "current_lng": 90.4125
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "latitude" in result.get('error', '').lower() or "-90" in result.get('error', ''):
-        print("SUCCESS: Correctly validates latitude range!")
-    else:
-        print("WARNING: Error message should mention latitude validation")
-else:
-    print(f"FAILED: Should have rejected invalid latitude!")
-    sys.exit(1)
-
-# Test 6: Create driver with INVALID longitude (should fail)
-print("\n[6] Testing: Create driver with invalid longitude (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103,
-    "current_lng": 200.0  # Invalid - must be -180 to 180
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "longitude" in result.get('error', '').lower() or "-180" in result.get('error', ''):
-        print("SUCCESS: Correctly validates longitude range!")
-    else:
-        print("WARNING: Error message should mention longitude validation")
-else:
-    print(f"FAILED: Should have rejected invalid longitude!")
-    sys.exit(1)
-
-# Test 7: Create driver with NON-NUMERIC coordinates (should fail)
-print("\n[7] Testing: Create driver with non-numeric coordinates (should fail)...")
-result = handle_create_driver({
-    "name": "Test Driver",
-    "vehicle_type": "motorcycle",
-    "current_lat": "not a number",
-    "current_lng": 90.4125
-})
-
-if not result.get("success"):
-    print(f"EXPECTED FAILURE: {result.get('error')}")
-    if "number" in result.get('error', '').lower() or "valid" in result.get('error', '').lower():
-        print("SUCCESS: Correctly validates coordinates are numbers!")
-    else:
-        print("WARNING: Error message should mention coordinates must be numbers")
-else:
-    print(f"FAILED: Should have rejected non-numeric coordinates!")
-    sys.exit(1)
-
-# Test 8: Create driver WITH all required fields (should succeed)
-print("\n[8] Testing: Create driver with ALL required fields (should succeed)...")
-result = handle_create_driver({
-    "name": "Valid Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103,
-    "current_lng": 90.4125
-})
-
-if result.get("success"):
-    driver_id = result.get("driver_id")
-    print(f"SUCCESS: Driver created: {driver_id}")
-    print(f"  Name: {result.get('name')}")
-    print(f"  Vehicle: {result.get('vehicle_type')}")
-    print(f"  Location: ({result.get('location', {}).get('latitude')}, {result.get('location', {}).get('longitude')})")
-
-    # Cleanup
-    print("\nCleaning up test driver...")
-    from chat.tools import handle_delete_driver
-    handle_delete_driver({"driver_id": driver_id, "confirm": True})
-    print("Cleanup complete!")
-else:
-    print(f"FAILED: Should have created driver with all required fields!")
-    print(f"Error: {result.get('error')}")
-    sys.exit(1)
-
-print("\n" + "=" * 70)
-print("Driver Creation Validation Test Complete!")
-print("=" * 70)
-print("\nSummary:")
-print("  - name is mandatory: YES")
-print("  - vehicle_type is mandatory: YES")
-print("  - current_lat is mandatory: YES")
-print("  - current_lng is mandatory: YES")
-print("  - Latitude range validated (-90 to 90): YES")
-print("  - Longitude range validated (-180 to 180): YES")
-print("  - Coordinates must be numeric: YES")
-print("  - Valid driver can be created: YES")

test_duplicate_assignment.py

@@ -1,145 +0,0 @@
-"""
-Test script to verify duplicate assignment prevention
-Ensures that an order cannot be assigned to multiple drivers simultaneously
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment
-)
-
-print("=" * 70)
-print("Testing Duplicate Assignment Prevention")
-print("=" * 70)
-
-# Step 1: Create test order
-print("\n[1] Creating test order...")
-order_result = handle_create_order({
-    "customer_name": "Duplicate Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Uttara, Dhaka",
-    "delivery_lat": 23.8759,
-    "delivery_lng": 90.3795,
-    "priority": "standard",
-    "weight_kg": 3.0
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-
-# Step 2: Create first driver
-print("\n[2] Creating first driver...")
-driver1_result = handle_create_driver({
-    "name": "Driver One",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103,
-    "current_lng": 90.4125
-})
-
-if not driver1_result.get("success"):
-    print(f"FAILED: {driver1_result.get('error')}")
-    sys.exit(1)
-
-driver1_id = driver1_result["driver_id"]
-print(f"SUCCESS: Driver 1 created: {driver1_id} (Driver One)")
-
-# Step 3: Create second driver (add small delay to avoid ID collision)
-print("\n[3] Creating second driver...")
-import time
-time.sleep(0.1)  # Small delay to ensure different timestamp
-driver2_result = handle_create_driver({
-    "name": "Driver Two",
-    "phone": "+8801912345678",
-    "vehicle_type": "car",
-    "current_lat": 23.7465,
-    "current_lng": 90.3760
-})
-
-if not driver2_result.get("success"):
-    print(f"FAILED: {driver2_result.get('error')}")
-    sys.exit(1)
-
-driver2_id = driver2_result["driver_id"]
-print(f"SUCCESS: Driver 2 created: {driver2_id} (Driver Two)")
-
-# Step 4: Assign order to first driver
-print(f"\n[4] Assigning order {order_id} to Driver One...")
-assignment1_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver1_id
-})
-
-if not assignment1_result.get("success"):
-    print(f"FAILED: {assignment1_result.get('error')}")
-    sys.exit(1)
-
-assignment1_id = assignment1_result["assignment_id"]
-print(f"SUCCESS: Assignment created: {assignment1_id}")
-print(f"  Order {order_id} assigned to Driver One")
-
-# Step 5: Attempt to assign the same order to second driver (should fail)
-print(f"\n[5] Attempting to assign same order to Driver Two (should fail)...")
-assignment2_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver2_id
-})
-
-if not assignment2_result.get("success"):
-    error_msg = assignment2_result.get('error', '')
-    print(f"EXPECTED FAILURE: {error_msg}")
-
-    # Verify error message contains expected information
-    if "already assigned" in error_msg.lower() and "Driver One" in error_msg:
-        print(f"SUCCESS: Error message correctly identifies existing assignment!")
-        print(f"  - Mentions order is already assigned")
-        print(f"  - Shows driver name (Driver One)")
-        print(f"  - Shows assignment ID ({assignment1_id})")
-    else:
-        print(f"WARNING: Error message could be more descriptive")
-else:
-    print(f"FAILED: Should have prevented duplicate assignment!")
-    print(f"  Unexpected assignment created: {assignment2_result.get('assignment_id')}")
-    sys.exit(1)
-
-# Step 6: Attempt to assign same order to SAME driver again (should also fail)
-print(f"\n[6] Attempting to assign same order to Driver One again (should also fail)...")
-assignment3_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver1_id
-})
-
-if not assignment3_result.get("success"):
-    error_msg = assignment3_result.get('error', '')
-    print(f"EXPECTED FAILURE: {error_msg}")
-    print(f"SUCCESS: Correctly prevents reassigning to same driver!")
-else:
-    print(f"FAILED: Should have prevented duplicate assignment to same driver!")
-    sys.exit(1)
-
-print("\n" + "=" * 70)
-print("Duplicate Assignment Prevention Test Complete!")
-print("=" * 70)
-print("\nSummary:")
-print("  - Order can be assigned to a driver: YES")
-print("  - Same order can be assigned to another driver: NO (prevented)")
-print("  - Same order can be reassigned to same driver: NO (prevented)")
-print("  - Error message is informative: YES")
-
-# Cleanup
-print("\nCleaning up test data...")
-from chat.tools import handle_delete_order, handle_delete_driver
-
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver1_id, "confirm": True})
-handle_delete_driver({"driver_id": driver2_id, "confirm": True})
-print("Cleanup complete!")

test_fail_delivery.py

@@ -1,230 +0,0 @@
-"""
-Test script for fail_delivery tool
-Verifies that delivery failure requires location and reason, and updates driver location correctly
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_create_assignment,
-    handle_fail_delivery,
-    handle_get_driver_details,
-    handle_get_assignment_details
-)
-
-print("=" * 70)
-print("Testing Delivery Failure Workflow")
-print("=" * 70)
-
-# Step 1: Create test order
-print("\n[1] Creating test order...")
-order_result = handle_create_order({
-    "customer_name": "Failure Test Customer",
-    "customer_phone": "+8801712345678",
-    "delivery_address": "Dhanmondi 32, Dhaka",
-    "delivery_lat": 23.7465,
-    "delivery_lng": 90.3760,
-    "priority": "standard",
-    "weight_kg": 2.5
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-
-# Step 2: Create test driver at different location
-print("\n[2] Creating test driver at starting location...")
-driver_result = handle_create_driver({
-    "name": "Failure Test Driver",
-    "phone": "+8801812345678",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.8103,  # Mirpur area
-    "current_lng": 90.4125
-})
-
-if not driver_result.get("success"):
-    print(f"FAILED: {driver_result.get('error')}")
-    sys.exit(1)
-
-driver_id = driver_result["driver_id"]
-driver_start_lat = 23.8103
-driver_start_lng = 90.4125
-print(f"SUCCESS: Driver created: {driver_id}")
-print(f"  Driver starting location: ({driver_start_lat}, {driver_start_lng})")
-
-# Step 3: Create assignment
-print("\n[3] Creating assignment...")
-assignment_result = handle_create_assignment({
-    "order_id": order_id,
-    "driver_id": driver_id
-})
-
-if not assignment_result.get("success"):
-    print(f"FAILED: {assignment_result.get('error')}")
-    sys.exit(1)
-
-assignment_id = assignment_result["assignment_id"]
-print(f"SUCCESS: Assignment created: {assignment_id}")
-
-# Step 4: Get driver details BEFORE failure
-print("\n[4] Getting driver location BEFORE failure...")
-driver_before = handle_get_driver_details({"driver_id": driver_id})
-
-if driver_before.get("success"):
-    driver_data = driver_before["driver"]
-    location = driver_data["location"]
-    print(f"Driver location BEFORE: ({location['latitude']}, {location['longitude']})")
-    print(f"  Status: {driver_data['status']}")
-else:
-    print(f"FAILED to get driver details")
-
-# Step 5: Test validation - attempt to fail without location
-print("\n[5] Testing validation - attempting to fail without GPS location...")
-fail_without_location = handle_fail_delivery({
-    "assignment_id": assignment_id,
-    "failure_reason": "customer_not_available",
-    "confirm": True
-})
-
-if not fail_without_location.get("success"):
-    print(f"EXPECTED FAILURE: {fail_without_location.get('error')}")
-else:
-    print(f"UNEXPECTED: Should have failed without location!")
-
-# Step 6: Test validation - attempt to fail without reason
-print("\n[6] Testing validation - attempting to fail without reason...")
-fail_without_reason = handle_fail_delivery({
-    "assignment_id": assignment_id,
-    "current_lat": 23.7500,
-    "current_lng": 90.3800,
-    "confirm": True
-})
-
-if not fail_without_reason.get("success"):
-    print(f"EXPECTED FAILURE: {fail_without_reason.get('error')}")
-else:
-    print(f"UNEXPECTED: Should have failed without reason!")
-
-# Step 7: Test validation - attempt with invalid reason
-print("\n[7] Testing validation - attempting with invalid failure reason...")
-fail_invalid_reason = handle_fail_delivery({
-    "assignment_id": assignment_id,
-    "current_lat": 23.7500,
-    "current_lng": 90.3800,
-    "failure_reason": "invalid_reason",
-    "confirm": True
-})
-
-if not fail_invalid_reason.get("success"):
-    print(f"EXPECTED FAILURE: {fail_invalid_reason.get('error')}")
-else:
-    print(f"UNEXPECTED: Should have failed with invalid reason!")
-
-# Step 8: Fail delivery properly with location and reason
-print("\n[8] Failing delivery with proper location and reason...")
-# Driver reports failure from a location along the route (between start and delivery)
-failure_lat = 23.7750  # Somewhere between Mirpur and Dhanmondi
-failure_lng = 90.3950
-failure_reason = "customer_not_available"
-
-failure_result = handle_fail_delivery({
-    "assignment_id": assignment_id,
-    "current_lat": failure_lat,
-    "current_lng": failure_lng,
-    "failure_reason": failure_reason,
-    "confirm": True,
-    "notes": "Customer phone was switched off. Attempted contact 3 times."
-})
-
-if not failure_result.get("success"):
-    print(f"FAILED: {failure_result.get('error')}")
-    sys.exit(1)
-
-print(f"SUCCESS: Delivery marked as failed!")
-print(f"  Assignment ID: {failure_result['assignment_id']}")
-print(f"  Order ID: {failure_result['order_id']}")
-print(f"  Customer: {failure_result['customer_name']}")
-print(f"  Driver: {failure_result['driver_name']}")
-print(f"  Failed at: {failure_result['failed_at']}")
-print(f"  Failure reason: {failure_result['failure_reason_display']}")
-
-# Check driver location update
-driver_loc = failure_result.get("driver_location", {})
-print(f"\nDriver location UPDATE:")
-print(f"  New location: ({driver_loc.get('lat')}, {driver_loc.get('lng')})")
-print(f"  Updated at: {driver_loc.get('updated_at')}")
-
-# Cascading actions
-cascading = failure_result.get("cascading_actions", [])
-if cascading:
-    print(f"\nCascading actions:")
-    for action in cascading:
-        print(f"  - {action}")
-
-# Step 9: Get driver details AFTER failure to verify location changed
-print("\n[9] Verifying driver location AFTER failure...")
-driver_after = handle_get_driver_details({"driver_id": driver_id})
-
-if driver_after.get("success"):
-    driver_data = driver_after["driver"]
-    location = driver_data["location"]
-    after_lat = location['latitude']
-    after_lng = location['longitude']
-
-    print(f"Driver location AFTER: ({after_lat}, {after_lng})")
-    print(f"  Status: {driver_data['status']}")
-
-    # Verify location matches reported failure location
-    if abs(after_lat - failure_lat) < 0.0001 and abs(after_lng - failure_lng) < 0.0001:
-        print(f"\nSUCCESS: Driver location updated to reported failure position!")
-        print(f"  Expected: ({failure_lat}, {failure_lng})")
-        print(f"  Got:      ({after_lat}, {after_lng})")
-    else:
-        print(f"\nFAILED: Driver location NOT updated correctly")
-        print(f"  Expected: ({failure_lat}, {failure_lng})")
-        print(f"  Got:      ({after_lat}, {after_lng})")
-else:
-    print(f"FAILED to get driver details after failure")
-
-# Step 10: Verify assignment status and failure reason
-print("\n[10] Verifying assignment status and failure reason...")
-assignment_details = handle_get_assignment_details({"assignment_id": assignment_id})
-
-if assignment_details.get("success"):
-    assignment = assignment_details.get("assignment", {})
-    print(f"Assignment status: {assignment.get('status')}")
-    print(f"Failure reason: {assignment.get('failure_reason')}")
-    print(f"Notes: {assignment.get('notes')}")
-    print(f"Actual arrival: {assignment.get('actual_arrival')}")
-
-    order = assignment.get("order", {})
-    print(f"Order status: {order.get('status')}")
-
-    if (assignment.get('status') == 'failed' and
-        order.get('status') == 'failed' and
-        assignment.get('failure_reason') == failure_reason):
-        print(f"\nSUCCESS: Assignment and order statuses updated correctly!")
-        print(f"SUCCESS: Failure reason stored correctly!")
-    else:
-        print(f"\nFAILED: Statuses or failure reason not updated correctly")
-else:
-    print(f"FAILED to get assignment details")
-
-print("\n" + "=" * 70)
-print("Delivery Failure Test Complete!")
-print("=" * 70)
-
-# Cleanup
-print("\nCleaning up test data...")
-from chat.tools import handle_delete_order, handle_delete_driver
-
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driver_id, "confirm": True})
-print("Cleanup complete!")

test_intelligent_assignment.py

@@ -1,232 +0,0 @@
-"""
-Test script for intelligent assignment feature (Gemini 2.0 Flash AI-driven)
-Verifies that intelligent assignment uses AI to make optimal decisions considering:
-- Order priority, fragility, time constraints
-- Driver skills, capacity, vehicle type
-- Real-time routing (distance, traffic, weather)
-- Complex tradeoffs and reasoning
-"""
-
-import sys
-import os
-from datetime import datetime, timedelta
-sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
-
-from chat.tools import (
-    handle_create_order,
-    handle_create_driver,
-    handle_intelligent_assign_order,
-    handle_delete_order,
-    handle_delete_driver
-)
-
-print("=" * 70)
-print("Testing Intelligent Assignment Feature (Gemini 2.0 Flash AI)")
-print("=" * 70)
-
-# Check for GOOGLE_API_KEY
-import os
-if not os.getenv("GOOGLE_API_KEY"):
-    print("\nERROR: GOOGLE_API_KEY environment variable not set!")
-    print("Please set GOOGLE_API_KEY before running this test.")
-    sys.exit(1)
-
-print("\n✓ GOOGLE_API_KEY found")
-
-# Test 1: Create complex order (urgent, fragile, high value)
-print("\n[1] Creating complex test order...")
-import time
-expected_time = datetime.now() + timedelta(hours=1)
-
-order_result = handle_create_order({
-    "customer_name": "Intelligent Assignment Test",
-    "customer_phone": "+8801712345680",
-    "delivery_address": "Gulshan 2, Dhaka",
-    "delivery_lat": 23.7925,
-    "delivery_lng": 90.4078,
-    "expected_delivery_time": expected_time.isoformat(),
-    "priority": "urgent",  # HIGH priority
-    "weight_kg": 8.0,
-    "volume_m3": 0.8,
-    "order_value": 50000,  # High value package
-    "is_fragile": True,  # Requires fragile_handler
-    "requires_cold_storage": False,
-    "requires_signature": True
-})
-
-if not order_result.get("success"):
-    print(f"FAILED: {order_result.get('error')}")
-    sys.exit(1)
-
-order_id = order_result["order_id"]
-print(f"SUCCESS: Order created: {order_id}")
-print(f"  Priority: URGENT")
-print(f"  Location: Gulshan 2, Dhaka (23.7925, 90.4078)")
-print(f"  Weight: 8kg, Volume: 0.8m³, Value: ৳50,000")
-print(f"  Fragile: YES, Signature Required: YES")
-print(f"  Expected delivery: {expected_time.strftime('%Y-%m-%d %H:%M')}")
-
-# Test 2: Create diverse drivers with different characteristics
-print("\n[2] Creating test drivers with varying profiles...")
-
-# Driver A: Nearest, but motorcycle (smaller capacity, faster in traffic)
-time.sleep(0.1)
-driverA_result = handle_create_driver({
-    "name": "Speedy Motorcycle Driver",
-    "phone": "+8801812345681",
-    "vehicle_type": "motorcycle",
-    "current_lat": 23.7900,  # Very close
-    "current_lng": 90.4050,
-    "capacity_kg": 10.0,  # Just enough
-    "capacity_m3": 1.0,
-    "skills": ["fragile_handler", "express_delivery"]
-})
-
-driverA_id = driverA_result["driver_id"]
-print(f"Driver A: {driverA_id}")
-print(f"  Type: Motorcycle (fast, good for urgent deliveries)")
-print(f"  Location: Very close (23.7900, 90.4050)")
-print(f"  Capacity: 10kg (adequate)")
-print(f"  Skills: fragile_handler, express_delivery")
-
-# Driver B: Medium distance, van (larger capacity, more stable for fragile)
-time.sleep(0.1)
-driverB_result = handle_create_driver({
-    "name": "Reliable Van Driver",
-    "phone": "+8801812345682",
-    "vehicle_type": "van",
-    "current_lat": 23.7850,  # Medium distance
-    "current_lng": 90.4000,
-    "capacity_kg": 50.0,  # Much larger capacity
-    "capacity_m3": 5.0,
-    "skills": ["fragile_handler", "overnight"]
-})
-
-driverB_id = driverB_result["driver_id"]
-print(f"Driver B: {driverB_id}")
-print(f"  Type: Van (stable, better for fragile high-value items)")
-print(f"  Location: Medium distance (23.7850, 90.4000)")
-print(f"  Capacity: 50kg (excellent)")
-print(f"  Skills: fragile_handler, overnight")
-
-# Driver C: Far, but truck (huge capacity, slow)
-time.sleep(0.1)
-driverC_result = handle_create_driver({
-    "name": "Heavy Truck Driver",
-    "phone": "+8801812345683",
-    "vehicle_type": "truck",
-    "current_lat": 23.7500,  # Far away
-    "current_lng": 90.3700,
-    "capacity_kg": 200.0,  # Overkill for this package
-    "capacity_m3": 20.0,
-    "skills": ["fragile_handler"]
-})
-
-driverC_id = driverC_result["driver_id"]
-print(f"Driver C: {driverC_id}")
-print(f"  Type: Truck (overkill capacity, slower)")
-print(f"  Location: Far away (23.7500, 90.3700)")
-print(f"  Capacity: 200kg (excessive for 8kg package)")
-print(f"  Skills: fragile_handler")
-
-# Test 3: Run intelligent assignment
-print("\n[3] Running intelligent assignment (AI decision-making)...")
-print("Calling Gemini AI to analyze all parameters...")
-
-intelligent_result = handle_intelligent_assign_order({"order_id": order_id})
-
-if not intelligent_result.get("success"):
-    print(f"FAILED: {intelligent_result.get('error')}")
-    print("\nCleaning up...")
-    handle_delete_order({"order_id": order_id, "confirm": True})
-    handle_delete_driver({"driver_id": driverA_id, "confirm": True})
-    handle_delete_driver({"driver_id": driverB_id, "confirm": True})
-    handle_delete_driver({"driver_id": driverC_id, "confirm": True})
-    sys.exit(1)
-
-print(f"\nSUCCESS: Intelligent assignment completed!")
-print(f"\n  Assignment ID: {intelligent_result['assignment_id']}")
-print(f"  Method: {intelligent_result['method']}")
-print(f"  AI Provider: {intelligent_result['ai_provider']}")
-print(f"  Selected Driver: {intelligent_result['driver_id']} ({intelligent_result['driver_name']})")
-print(f"  Distance: {intelligent_result['distance_km']} km")
-print(f"  Estimated Duration: {intelligent_result['estimated_duration_minutes']} minutes")
-print(f"  Candidates Evaluated: {intelligent_result['candidates_evaluated']}")
-print(f"  Confidence Score: {intelligent_result.get('confidence_score', 'N/A')}")
-
-# Test 4: Display AI reasoning
-print("\n[4] AI Reasoning & Decision Analysis:")
-ai_reasoning = intelligent_result.get('ai_reasoning', {})
-
-if ai_reasoning:
-    print("\n  PRIMARY FACTORS:")
-    for factor in ai_reasoning.get('primary_factors', []):
-        print(f"    • {factor}")
-
-    print("\n  TRADE-OFFS CONSIDERED:")
-    for tradeoff in ai_reasoning.get('trade_offs_considered', []):
-        print(f"    • {tradeoff}")
-
-    print(f"\n  RISK ASSESSMENT:")
-    print(f"    {ai_reasoning.get('risk_assessment', 'N/A')}")
-
-    print(f"\n  DECISION SUMMARY:")
-    print(f"    {ai_reasoning.get('decision_summary', 'N/A')}")
-else:
-    print("  WARNING: No AI reasoning provided")
-
-# Test 5: Display alternatives considered
-print("\n[5] Alternative Drivers Considered:")
-alternatives = intelligent_result.get('alternatives_considered', [])
-if alternatives:
-    for i, alt in enumerate(alternatives, 1):
-        print(f"  {i}. Driver {alt.get('driver_id')}: {alt.get('reason_not_selected')}")
-else:
-    print("  No alternatives data provided")
-
-# Test 6: Verify AI made a sensible decision
-print("\n[6] Decision Validation:")
-selected_driver_id = intelligent_result['driver_id']
-
-print(f"\n  Selected driver: {selected_driver_id}")
-
-if selected_driver_id == driverA_id:
-    print("  → Driver A (Motorcycle)")
-    print("    Rationale: Likely prioritized URGENCY + proximity over vehicle comfort")
-elif selected_driver_id == driverB_id:
-    print("  → Driver B (Van)")
-    print("    Rationale: Likely balanced FRAGILE handling + capacity + reasonable distance")
-elif selected_driver_id == driverC_id:
-    print("  → Driver C (Truck)")
-    print("    Rationale: Unusual choice - truck is overkill for 8kg package")
-else:
-    print(f"  → Unknown driver: {selected_driver_id}")
-
-print(f"\n  AI Decision Quality:")
-print(f"    • Driver has required skills: ✅")
-print(f"    • Driver has sufficient capacity: ✅")
-print(f"    • AI provided reasoning: {'✅' if ai_reasoning else '❌'}")
-print(f"    • AI evaluated multiple candidates: ✅")
-
-# Cleanup
-print("\n" + "=" * 70)
-print("Cleaning up test data...")
-handle_delete_order({"order_id": order_id, "confirm": True})
-handle_delete_driver({"driver_id": driverA_id, "confirm": True})
-handle_delete_driver({"driver_id": driverB_id, "confirm": True})
-handle_delete_driver({"driver_id": driverC_id, "confirm": True})
-print("Cleanup complete!")
-
-print("\n" + "=" * 70)
-print("Intelligent Assignment Test Complete!")
-print("=" * 70)
-print("\nSummary:")
-print("  - Gemini 2.0 Flash AI successfully made assignment decision: [OK]")
-print("  - AI provided detailed reasoning: [OK]")
-print("  - AI considered multiple factors (distance, capacity, urgency, fragility): [OK]")
-print("  - AI evaluated all available drivers: [OK]")
-print("  - Assignment created successfully: [OK]")
-print("\nModel used: Gemini 2.0 Flash (gemini-2.0-flash-exp)")
-print("\nNote: The AI's specific driver choice may vary based on real-time")
-print("routing data, traffic conditions, and the AI's weighted evaluation.")
-print("What matters is that the decision is EXPLAINED and REASONABLE.")

test_oauth.html

@@ -1,239 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>FleetMind OAuth Test - Stytch Login</title>
-    <style>
-        body {
-            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Arial, sans-serif;
-            max-width: 800px;
-            margin: 50px auto;
-            padding: 20px;
-            background: #0f172a;
-            color: #e2e8f0;
-        }
-        .container {
-            background: #1e293b;
-            padding: 40px;
-            border-radius: 12px;
-            box-shadow: 0 8px 16px rgba(0,0,0,0.4);
-        }
-        h1 { color: #f1f5f9; }
-        h2 { color: #e2e8f0; border-bottom: 2px solid #334155; padding-bottom: 10px; }
-        button {
-            background: #3b82f6;
-            color: white;
-            border: none;
-            padding: 12px 24px;
-            border-radius: 6px;
-            font-size: 16px;
-            cursor: pointer;
-            margin: 10px 5px;
-        }
-        button:hover { background: #2563eb; }
-        .success { background: #10b981; padding: 15px; border-radius: 6px; margin: 15px 0; }
-        .error { background: #ef4444; padding: 15px; border-radius: 6px; margin: 15px 0; }
-        .info { background: #1e3a5f; padding: 15px; border-radius: 6px; margin: 15px 0; border-left: 4px solid #3b82f6; }
-        code {
-            background: #334155;
-            color: #60a5fa;
-            padding: 3px 8px;
-            border-radius: 4px;
-            font-family: 'Courier New', monospace;
-            display: block;
-            margin: 10px 0;
-            word-wrap: break-word;
-        }
-        input {
-            width: 100%;
-            padding: 10px;
-            margin: 10px 0;
-            border-radius: 6px;
-            border: 1px solid #334155;
-            background: #0f172a;
-            color: #e2e8f0;
-            font-size: 14px;
-        }
-        #result { margin-top: 20px; }
-    </style>
-    <script src="https://js.stytch.com/stytch.js"></script>
-</head>
-<body>
-    <div class="container">
-        <h1>🔐 FleetMind OAuth Test</h1>
-        <p>Test Stytch authentication flow locally</p>
-
-        <div class="info">
-            <strong>📋 Test Flow:</strong><br>
-            1. Enter your email below<br>
-            2. Click "Send Magic Link"<br>
-            3. Check your email inbox<br>
-            4. Click the magic link<br>
-            5. You'll be redirected back here with a session token<br>
-            6. Use that token to test the MCP tools
-        </div>
-
-        <h2>Step 1: Login with Stytch</h2>
-        <div id="loginSection">
-            <input type="email" id="emailInput" placeholder="Enter your email address" value="">
-            <button onclick="sendMagicLink()">📧 Send Magic Link</button>
-        </div>
-
-        <h2>Step 2: Session Token</h2>
-        <div id="tokenSection">
-            <p>After clicking the magic link, your session token will appear here:</p>
-            <code id="tokenDisplay">Waiting for login...</code>
-            <button onclick="copyToken()" id="copyBtn" style="display:none;">📋 Copy Token</button>
-        </div>
-
-        <h2>Step 3: Test MCP Tools</h2>
-        <div id="testSection">
-            <p>Once you have a token, test calling an MCP tool:</p>
-            <button onclick="testCountOrders()" id="testBtn" disabled>🧪 Test count_orders Tool</button>
-            <button onclick="testCreateOrder()" id="createBtn" disabled>➕ Test create_order Tool</button>
-        </div>
-
-        <div id="result"></div>
-    </div>
-
-    <script>
-        const STYTCH_PUBLIC_TOKEN = 'public-token-test-ce2e3056-c04f-4416-a853-dd26810e14db'; // Your Stytch public token
-        const SERVER_URL = 'http://localhost:7860';
-
-        let sessionToken = null;
-        let stytchClient = null;
-
-        // Initialize Stytch
-        window.onload = function() {
-            stytchClient = window.Stytch(STYTCH_PUBLIC_TOKEN);
-
-            // Check if we're being redirected back from Stytch
-            const urlParams = new URLSearchParams(window.location.search);
-            const token = urlParams.get('stytch_token_type');
-            const tokenValue = urlParams.get('token');
-
-            if (token === 'magic_links' && tokenValue) {
-                authenticateToken(tokenValue);
-            }
-        };
-
-        async function sendMagicLink() {
-            const email = document.getElementById('emailInput').value;
-            if (!email) {
-                showResult('Please enter an email address', 'error');
-                return;
-            }
-
-            showResult('Sending magic link to ' + email + '...', 'info');
-
-            try {
-                const response = await fetch('https://test.stytch.com/v1/magic_links/email/login_or_create', {
-                    method: 'POST',
-                    headers: {
-                        'Content-Type': 'application/json',
-                    },
-                    body: JSON.stringify({
-                        email: email,
-                        login_magic_link_url: window.location.href,
-                        signup_magic_link_url: window.location.href,
-                        public_token: STYTCH_PUBLIC_TOKEN
-                    })
-                });
-
-                const data = await response.json();
-
-                if (response.ok) {
-                    showResult('✅ Magic link sent! Check your email (' + email + ') and click the link.', 'success');
-                } else {
-                    showResult('❌ Error: ' + (data.error_message || 'Failed to send magic link'), 'error');
-                }
-            } catch (error) {
-                showResult('❌ Network error: ' + error.message, 'error');
-            }
-        }
-
-        async function authenticateToken(token) {
-            showResult('Authenticating your magic link token...', 'info');
-
-            try {
-                const response = await fetch('https://test.stytch.com/v1/magic_links/authenticate', {
-                    method: 'POST',
-                    headers: {
-                        'Content-Type': 'application/json',
-                    },
-                    body: JSON.stringify({
-                        token: token,
-                        public_token: STYTCH_PUBLIC_TOKEN
-                    })
-                });
-
-                const data = await response.json();
-
-                if (response.ok && data.session_token) {
-                    sessionToken = data.session_token;
-                    document.getElementById('tokenDisplay').textContent = sessionToken;
-                    document.getElementById('copyBtn').style.display = 'inline-block';
-                    document.getElementById('testBtn').disabled = false;
-                    document.getElementById('createBtn').disabled = false;
-                    showResult('✅ Login successful! You can now test the MCP tools below.', 'success');
-                } else {
-                    showResult('❌ Authentication failed: ' + (data.error_message || 'Unknown error'), 'error');
-                }
-            } catch (error) {
-                showResult('❌ Authentication error: ' + error.message, 'error');
-            }
-        }
-
-        function copyToken() {
-            navigator.clipboard.writeText(sessionToken);
-            showResult('✅ Token copied to clipboard!', 'success');
-        }
-
-        async function testCountOrders() {
-            if (!sessionToken) {
-                showResult('❌ Please login first to get a session token', 'error');
-                return;
-            }
-
-            showResult('Testing count_orders with your session token...', 'info');
-
-            try {
-                // Note: This is a simplified test - actual MCP protocol is more complex
-                const response = await fetch(SERVER_URL + '/test-auth', {
-                    method: 'POST',
-                    headers: {
-                        'Authorization': 'Bearer ' + sessionToken,
-                        'Content-Type': 'application/json',
-                    },
-                    body: JSON.stringify({
-                        tool: 'count_orders',
-                        params: {}
-                    })
-                });
-
-                const data = await response.json();
-                showResult('Response: ' + JSON.stringify(data, null, 2), 'success');
-            } catch (error) {
-                showResult('Note: Direct HTTP testing not available. Use the token in Claude Desktop instead.\n\nYour token: ' + sessionToken, 'info');
-            }
-        }
-
-        async function testCreateOrder() {
-            if (!sessionToken) {
-                showResult('❌ Please login first to get a session token', 'error');
-                return;
-            }
-
-            showResult('Testing create_order with your session token...', 'info');
-            showResult('Note: For full testing, configure Claude Desktop to use this token.\n\nYour session token:\n' + sessionToken, 'info');
-        }
-
-        function showResult(message, type) {
-            const resultDiv = document.getElementById('result');
-            resultDiv.className = type;
-            resultDiv.innerHTML = message.replace(/\n/g, '<br>');
-        }
-    </script>
-</body>
-</html>

unified_app.py

@@ -1,210 +0,0 @@
-"""
-FleetMind Unified App
-Serves both Gradio UI and MCP SSE endpoint on the same port
-Simple UI showing MCP connection information and server status
-"""
-
-import sys
-from pathlib import Path
-sys.path.insert(0, str(Path(__file__).parent))
-
-from fastapi import FastAPI
-import uvicorn
-import gradio as gr
-import os
-import json
-
-print("=" * 70)
-print("FleetMind - Unified Server (Gradio UI + MCP SSE)")
-print("=" * 70)
-
-# Configuration
-MCP_SSE_ENDPOINT = "https://mcp-1st-birthday-fleetmind-dispatch-ai.hf.space/sse"
-
-# Import MCP server
-print("\n[1/2] Loading MCP server...")
-try:
-    from server import mcp
-    print("[OK] MCP server loaded (29 tools, 2 resources)")
-    mcp_available = True
-except Exception as e:
-    print(f"[WARNING] MCP server failed to load: {e}")
-    mcp_available = False
-
-def get_claude_config():
-    """Generate Claude Desktop configuration"""
-    config = {
-        "mcpServers": {
-            "fleetmind": {
-                "command": "npx",
-                "args": ["mcp-remote", MCP_SSE_ENDPOINT]
-            }
-        }
-    }
-    return json.dumps(config, indent=2)
-
-def get_tools_list():
-    """Get all 29 MCP tools"""
-    return [
-        ["geocode_address", "Geocoding & Routing", "Convert address to GPS coordinates"],
-        ["calculate_route", "Geocoding & Routing", "Calculate route with vehicle optimization"],
-        ["calculate_intelligent_route", "Geocoding & Routing", "Weather + traffic aware routing"],
-        ["create_order", "Order Management", "Create new delivery order"],
-        ["count_orders", "Order Management", "Count orders by status"],
-        ["fetch_orders", "Order Management", "Get list of orders with filters"],
-        ["get_order_details", "Order Management", "Get full order details"],
-        ["search_orders", "Order Management", "Search orders"],
-        ["get_incomplete_orders", "Order Management", "Get pending/in-transit orders"],
-        ["update_order", "Order Management", "Update order"],
-        ["delete_order", "Order Management", "Delete order"],
-        ["create_driver", "Driver Management", "Register new driver"],
-        ["count_drivers", "Driver Management", "Count drivers by status"],
-        ["fetch_drivers", "Driver Management", "Get list of drivers"],
-        ["get_driver_details", "Driver Management", "Get full driver details"],
-        ["search_drivers", "Driver Management", "Search drivers"],
-        ["get_available_drivers", "Driver Management", "Get active drivers"],
-        ["update_driver", "Driver Management", "Update driver"],
-        ["delete_driver", "Driver Management", "Delete driver"],
-        ["create_assignment", "Assignment Management", "Manual assignment"],
-        ["auto_assign_order", "Assignment Management", "🤖 Auto-assign to nearest driver"],
-        ["intelligent_assign_order", "Assignment Management", "🧠 Gemini 2.0 Flash AI assignment"],
-        ["get_assignment_details", "Assignment Management", "Get assignment details"],
-        ["update_assignment", "Assignment Management", "Update assignment"],
-        ["unassign_order", "Assignment Management", "Remove assignment"],
-        ["complete_delivery", "Assignment Management", "Mark delivery complete"],
-        ["fail_delivery", "Assignment Management", "Mark delivery failed"],
-        ["delete_all_orders", "Bulk Operations", "Bulk delete orders"],
-        ["delete_all_drivers", "Bulk Operations", "Bulk delete drivers"],
-    ]
-
-# Create Gradio interface
-print("\n[2/2] Creating Gradio UI...")
-
-with gr.Blocks(theme=gr.themes.Soft(), title="FleetMind MCP Server") as gradio_app:
-    gr.Markdown("# 🚚 FleetMind MCP Server")
-    gr.Markdown("**Enterprise Model Context Protocol Server for AI-Powered Delivery Dispatch**")
-    gr.Markdown("*Track 1: Building MCP Servers - Enterprise Category*")
-
-    gr.Markdown("---")
-
-    gr.Markdown("## 🔌 MCP Server Connection")
-
-    gr.Markdown("### 📡 SSE Endpoint URL")
-    gr.Textbox(value=MCP_SSE_ENDPOINT, label="Copy this endpoint", interactive=False, max_lines=1)
-
-    gr.Markdown("### ⚙️ Claude Desktop Configuration")
-    gr.Markdown("Copy and paste this into your `claude_desktop_config.json` file:")
-    gr.Code(value=get_claude_config(), language="json", label="claude_desktop_config.json")
-
-    gr.Markdown("### 📋 How to Connect")
-    gr.Markdown("""
-    **Step 1:** Install Claude Desktop from https://claude.ai/download
-
-    **Step 2:** Open your `claude_desktop_config.json` file and add the configuration shown above
-
-    **Step 3:** Restart Claude Desktop
-
-    **Step 4:** Look for "FleetMind" in the 🔌 icon menu in Claude Desktop
-
-    **Step 5:** Start using commands like:
-    - "Create a delivery order for John at 123 Main St"
-    - "Show me all pending orders"
-    - "Auto-assign order ORD-... to the nearest driver"
-    - "Use AI to intelligently assign order ORD-..." (Gemini 2.0 Flash!)
-    """)
-
-    gr.Markdown("---")
-
-    gr.Markdown("## 🛠️ Available MCP Tools (29 Total)")
-    gr.Dataframe(
-        value=get_tools_list(),
-        headers=["Tool Name", "Category", "Description"],
-        label="All FleetMind MCP Tools",
-        wrap=True
-    )
-
-    gr.Markdown("---")
-
-    gr.Markdown("## ⭐ Key Features")
-    gr.Markdown("""
-    - **29 AI Tools** - Complete fleet management suite
-    - **🧠 Gemini 2.0 Flash AI** - Intelligent assignment with detailed reasoning
-    - **🌦️ Weather-Aware Routing** - Safety-first delivery planning
-    - **🚦 Real-Time Traffic** - Google Routes API integration
-    - **📊 SLA Tracking** - Automatic on-time performance monitoring
-    - **🗄️ PostgreSQL Database** - Production-grade data storage (Neon)
-    - **🚀 Multi-Client Support** - Works with Claude Desktop, Continue, Cline, any MCP client
-    """)
-
-    gr.Markdown("---")
-
-    gr.Markdown("## 📚 Resources")
-    gr.Markdown("""
-    - **GitHub:** https://github.com/mashrur-rahman-fahim/fleetmind-mcp
-    - **HuggingFace Space:** https://huggingface.co/spaces/MCP-1st-Birthday/fleetmind-dispatch-ai
-    - **MCP Protocol:** https://modelcontextprotocol.io
-    """)
-
-    gr.Markdown("---")
-    gr.Markdown("*FleetMind v1.0 - Built for MCP 1st Birthday Hackathon*")
-
-print("[OK] Gradio UI created")
-
-# Create FastAPI app
-print("\nCreating unified FastAPI server...")
-app = FastAPI(title="FleetMind MCP Server + UI")
-
-# Mount Gradio at root
-app = gr.mount_gradio_app(app, gradio_app, path="/")
-print("[OK] Gradio UI mounted at /")
-
-# Add MCP SSE endpoint
-if mcp_available:
-    # Mount the MCP server's SSE handler
-    print("[OK] MCP SSE endpoint will be available at /sse")
-
-print("\n" + "=" * 70)
-print("[STARTING] Unified server...")
-print("=" * 70)
-print("[UI] Gradio UI: http://0.0.0.0:7860")
-if mcp_available:
-    print("[MCP] MCP SSE: http://0.0.0.0:7860/sse")
-print("=" * 70)
-
-# Add MCP SSE endpoint to FastAPI app
-if mcp_available:
-    from starlette.requests import Request
-    from starlette.responses import StreamingResponse
-
-    # Get the MCP server's SSE handler
-    # We'll use the app.py server as a separate process
-    # For now, just create a simple info endpoint
-    @app.get("/sse")
-    async def mcp_sse_info():
-        """
-        MCP SSE endpoint information.
-
-        Note: For actual MCP SSE connection, deploy app.py separately
-        or use the production endpoint shown in the UI.
-        """
-        return {
-            "message": "MCP SSE endpoint",
-            "status": "Use the standalone app.py for full MCP SSE functionality",
-            "tools_count": 29,
-            "resources_count": 2,
-            "production_endpoint": MCP_SSE_ENDPOINT
-        }
-
-    print("[INFO] MCP SSE info endpoint added at /sse")
-    print("[NOTE] For full MCP functionality, the standalone MCP server (app.py) should be deployed")
-
-# Run unified server
-if __name__ == "__main__":
-    # Run FastAPI with Gradio
-    uvicorn.run(
-        app,
-        host="0.0.0.0",
-        port=7860,
-        log_level="info"
-    )
-

verify_fix.py

@@ -1,51 +0,0 @@
-"""Verify the user_id fix"""
-
-from database.connection import get_db_connection
-
-def verify_order_fix():
-    conn = get_db_connection()
-    cursor = conn.cursor()
-
-    # Check the specific order mentioned by user
-    order_id = "ORD-202511192234450754"
-
-    cursor.execute(
-        "SELECT order_id, user_id, customer_name, status FROM orders WHERE order_id = %s",
-        (order_id,)
-    )
-
-    result = cursor.fetchone()
-
-    if result:
-        print(f"\nOrder: {result['order_id']}")
-        print(f"User ID: {result['user_id']}")
-        print(f"Customer: {result['customer_name']}")
-        print(f"Status: {result['status']}")
-
-        if result['user_id'] == 'user_id':
-            print("\n[ERROR] Still has bad user_id value!")
-        elif result['user_id'].startswith('user_'):
-            print("\n[SUCCESS] User ID is now correct!")
-        else:
-            print(f"\n[WARNING] Unexpected user_id format: {result['user_id']}")
-    else:
-        print(f"\n[NOT FOUND] Order {order_id} not found")
-
-    # Check if any records still have bad user_id
-    print("\n--- Checking for remaining bad records ---")
-
-    for table in ['orders', 'drivers', 'assignments']:
-        cursor.execute(f"SELECT COUNT(*) as count FROM {table} WHERE user_id = %s", ('user_id',))
-        result = cursor.fetchone()
-        count = result['count'] if result else 0
-
-        if count > 0:
-            print(f"{table}: {count} records still have user_id='user_id'")
-        else:
-            print(f"{table}: All clean!")
-
-    cursor.close()
-    conn.close()
-
-if __name__ == "__main__":
-    verify_order_fix()