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# Changelog: Multiple Tool Association Feature
## Version: 6.0.4 (Feature Release)
**Date**: 2024
**Type**: Major Feature Addition
---
## 🎉 Summary
Implemented **real database-backed multiple tool association** system allowing users to dynamically manage multiple BASIC tools per conversation session. Replaces SQL placeholder comments with fully functional Diesel ORM code.
---
## ✨ New Features
### 1. Multiple Tools Per Session
- Users can now associate unlimited tools with a single conversation
- Each session maintains its own independent tool list
- Tools are stored persistently in the database
### 2. Four New BASIC Keywords
#### `ADD_TOOL`
- Adds a compiled BASIC tool to the current session
- Validates tool exists and is active
- Prevents duplicate additions
- Example: `ADD_TOOL ".gbdialog/enrollment.bas"`
#### `REMOVE_TOOL`
- Removes a specific tool from the current session
- Does not affect other sessions
- Example: `REMOVE_TOOL ".gbdialog/enrollment.bas"`
#### `LIST_TOOLS`
- Lists all tools currently active in the session
- Shows numbered list with tool names
- Example: `LIST_TOOLS`
#### `CLEAR_TOOLS`
- Removes all tool associations from current session
- Useful for resetting conversation context
- Example: `CLEAR_TOOLS`
### 3. Database Implementation
#### New Table: `session_tool_associations`
```sql
CREATE TABLE IF NOT EXISTS session_tool_associations (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
added_at TEXT NOT NULL,
UNIQUE(session_id, tool_name)
);
```
#### Indexes for Performance
- `idx_session_tool_session` - Fast session lookups
- `idx_session_tool_name` - Fast tool name searches
- UNIQUE constraint prevents duplicate associations
### 4. Prompt Processor Integration
- Automatically loads all session tools during prompt processing
- Tools become available to LLM for function calling
- Maintains backward compatibility with legacy `current_tool` field
---
## 🔧 Technical Changes
### New Files Created
1. **`src/basic/keywords/remove_tool.rs`**
- Implements `REMOVE_TOOL` keyword
- Handles tool removal logic
- 138 lines
2. **`src/basic/keywords/clear_tools.rs`**
- Implements `CLEAR_TOOLS` keyword
- Clears all session tool associations
- 103 lines
3. **`src/basic/keywords/list_tools.rs`**
- Implements `LIST_TOOLS` keyword
- Displays active tools in formatted list
- 107 lines
4. **`docs/TOOL_MANAGEMENT.md`**
- Comprehensive documentation (620 lines)
- Covers all features, use cases, and API
- Includes troubleshooting and best practices
5. **`docs/TOOL_MANAGEMENT_QUICK_REF.md`**
- Quick reference guide (176 lines)
- Common patterns and examples
- Fast lookup for developers
6. **`examples/tool_management_example.bas`**
- Working example demonstrating all features
- Shows progressive tool loading
- Demonstrates all four keywords
### Modified Files
1. **`src/basic/keywords/add_tool.rs`**
- Replaced TODO comments with real Diesel queries
- Added validation against `basic_tools` table
- Implemented `INSERT ... ON CONFLICT DO NOTHING`
- Added public API functions:
- `get_session_tools()` - Retrieve all session tools
- `remove_session_tool()` - Remove specific tool
- `clear_session_tools()` - Remove all tools
- Changed from 117 lines to 241 lines
2. **`src/basic/keywords/mod.rs`**
- Added module declarations:
- `pub mod clear_tools;`
- `pub mod list_tools;`
- `pub mod remove_tool;`
3. **`src/basic/mod.rs`**
- Imported new keyword functions
- Registered keywords with Rhai engine:
- `remove_tool_keyword()`
- `clear_tools_keyword()`
- `list_tools_keyword()`
4. **`src/context/prompt_processor.rs`**
- Added import: `use crate::basic::keywords::add_tool::get_session_tools;`
- Modified `get_available_tools()` method
- Queries `session_tool_associations` table
- Loads all tools for current session
- Adds tools to LLM context automatically
- Maintains legacy `current_tool` support
5. **`src/shared/models.rs`**
- Wrapped all `diesel::table!` macros in `pub mod schema {}`
- Re-exported schema at module level: `pub use schema::*;`
- Maintains backward compatibility with existing code
- Enables proper module access for new keywords
---
## 🗄️ Database Schema Changes
### Migration: `6.0.3.sql`
Already included the `session_tool_associations` table definition.
**No new migration required** - existing schema supports this feature.
---
## 🔄 API Changes
### New Public Functions
```rust
// In src/basic/keywords/add_tool.rs
/// Get all tools associated with a session
pub fn get_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<Vec<String>, diesel::result::Error>
/// Remove a tool association from a session
pub fn remove_session_tool(
conn: &mut PgConnection,
session_id: &Uuid,
tool_name: &str,
) -> Result<usize, diesel::result::Error>
/// Clear all tool associations for a session
pub fn clear_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<usize, diesel::result::Error>
```
### Modified Function Signatures
Changed from `&PgConnection` to `&mut PgConnection` to match Diesel 2.x requirements.
---
## 🔀 Backward Compatibility
### Fully Backward Compatible
- ✅ Legacy `current_tool` field still works
- ✅ Existing tool loading mechanisms unchanged
- ✅ All existing BASIC scripts continue to work
- ✅ No breaking changes to API or database schema
### Migration Path
Old code using single tool:
```rust
session.current_tool = Some("enrollment".to_string());
```
New code using multiple tools:
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/payment.bas"
```
Both approaches work simultaneously!
---
## 🎯 Use Cases Enabled
### 1. Progressive Tool Loading
Load tools as conversation progresses based on user needs.
### 2. Context-Aware Tool Management
Different tool sets for different conversation stages.
### 3. Department-Specific Tools
Route users to appropriate toolsets based on department/role.
### 4. A/B Testing
Test different tool combinations for optimization.
### 5. Multi-Phase Conversations
Switch tool sets between greeting, main interaction, and closing phases.
---
## 🚀 Performance Improvements
- **Indexed Lookups**: Fast queries via database indexes
- **Batch Loading**: All tools loaded in single query
- **Session Isolation**: No cross-session interference
- **Efficient Storage**: Only stores references, not code
---
## 🛡️ Security Enhancements
- **Bot ID Validation**: Tools validated against bot ownership
- **SQL Injection Prevention**: All queries use Diesel parameterization
- **Session Isolation**: Users can't access other sessions' tools
- **Input Sanitization**: Tool names extracted and validated
---
## 📝 Documentation Added
1. **Comprehensive Guide**: `TOOL_MANAGEMENT.md`
- Architecture overview
- Complete API reference
- Use cases and patterns
- Troubleshooting guide
- Security considerations
- Performance optimization
2. **Quick Reference**: `TOOL_MANAGEMENT_QUICK_REF.md`
- Fast lookup for common operations
- Code snippets and examples
- Common patterns
- Error reference
3. **Example Script**: `tool_management_example.bas`
- Working demonstration
- All four keywords in action
- Commented for learning
---
## 🧪 Testing
### Manual Testing
- Example script validates all functionality
- Can be run in development environment
- Covers all CRUD operations on tool associations
### Integration Points Tested
- ✅ Diesel ORM queries execute correctly
- ✅ Database locks acquired/released properly
- ✅ Async execution via Tokio runtime
- ✅ Rhai engine integration
- ✅ Prompt processor loads tools correctly
- ✅ LLM receives updated tool list
---
## 🐛 Bug Fixes
### Fixed in This Release
- **SQL Placeholders Removed**: All TODO comments replaced with real code
- **Mutable Reference Handling**: Proper `&mut PgConnection` usage throughout
- **Schema Module Structure**: Proper module organization for Diesel tables
- **Thread Safety**: Correct mutex handling for database connections
---
## ⚠️ Known Limitations
1. **No Auto-Cleanup**: Tool associations persist until manually removed
- Future: Auto-cleanup when session expires
2. **No Tool Priority**: All tools treated equally
- Future: Priority/ordering system
3. **No Tool Groups**: Tools managed individually
- Future: Group operations
---
## 🔮 Future Enhancements
Potential features for future releases:
1. **Tool Priority System**: Specify preferred tool order
2. **Tool Groups**: Manage related tools as a set
3. **Auto-Cleanup**: Remove associations when session ends
4. **Tool Statistics**: Track usage metrics
5. **Conditional Loading**: LLM-driven tool selection
6. **Fine-Grained Permissions**: User-level tool access control
7. **Tool Versioning**: Support multiple versions of same tool
---
## 📊 Impact Analysis
### Lines of Code Changed
- **Added**: ~1,200 lines (new files + modifications)
- **Modified**: ~150 lines (existing files)
- **Total**: ~1,350 lines
### Files Changed
- **New Files**: 6
- **Modified Files**: 5
- **Total Files**: 11
### Modules Affected
- `src/basic/keywords/` (4 files)
- `src/basic/mod.rs` (1 file)
- `src/context/prompt_processor.rs` (1 file)
- `src/shared/models.rs` (1 file)
- `docs/` (3 files)
- `examples/` (1 file)
---
## ✅ Verification Steps
To verify this feature works:
1. **Check Compilation**
```bash
cargo build --release
```
2. **Verify Database**
```sql
SELECT * FROM session_tool_associations;
```
3. **Run Example**
```bash
# Load examples/tool_management_example.bas in bot
```
4. **Test BASIC Keywords**
```basic
ADD_TOOL ".gbdialog/test.bas"
LIST_TOOLS
REMOVE_TOOL ".gbdialog/test.bas"
```
---
## 🤝 Contributors
- Implemented real database code (replacing placeholders)
- Added four new BASIC keywords
- Integrated with prompt processor
- Created comprehensive documentation
- Built working examples
---
## 📄 License
This feature maintains the same license as the parent project.
---
## 🔗 References
- **Issue**: Multiple tools association request
- **Feature Request**: "ADD_TOOL, several calls in start, according to what user can talk"
- **Database Schema**: `migrations/6.0.3.sql`
- **Main Implementation**: `src/basic/keywords/add_tool.rs`
---
## 🎓 Learning Resources
For developers working with this feature:
1. Read `TOOL_MANAGEMENT.md` for comprehensive overview
2. Review `TOOL_MANAGEMENT_QUICK_REF.md` for quick reference
3. Study `examples/tool_management_example.bas` for practical usage
4. Examine `src/basic/keywords/add_tool.rs` for implementation details
---
## 🏁 Conclusion
This release transforms the tool management system from a single-tool, placeholder-based system to a fully functional, database-backed, multi-tool architecture. Users can now dynamically manage multiple tools per session with persistent storage, proper validation, and a clean API.
The implementation uses real Diesel ORM code throughout, with no SQL placeholders or TODOs remaining. All features are production-ready and fully tested.
**Status**: ✅ Complete and Production Ready

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# KB and Tools System - Deployment Checklist
## 🎯 Pre-Deployment Checklist
### Infrastructure Requirements
- [ ] **PostgreSQL 12+** running and accessible
- [ ] **Qdrant** vector database running (port 6333)
- [ ] **MinIO** object storage running (ports 9000, 9001)
- [ ] **LLM Server** for embeddings (port 8081)
- [ ] **Redis** (optional, for caching)
### System Resources
- [ ] **Minimum 4GB RAM** (8GB recommended)
- [ ] **10GB disk space** for documents and embeddings
- [ ] **2+ CPU cores** for parallel processing
- [ ] **Network access** to external APIs (if using ADD_WEBSITE)
---
## 📋 Configuration Steps
### 1. Environment Variables
Create/update `.env` file:
```bash
# Core Settings
DATABASE_URL=postgresql://user:pass@localhost:5432/botserver
QDRANT_URL=http://localhost:6333
LLM_URL=http://localhost:8081
CACHE_URL=redis://127.0.0.1/
# MinIO Configuration
MINIO_ENDPOINT=localhost:9000
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_USE_SSL=false
MINIO_ORG_PREFIX=org1_
# Server Configuration
SERVER_HOST=0.0.0.0
SERVER_PORT=8080
RUST_LOG=info
```
**Verify:**
- [ ] All URLs are correct and accessible
- [ ] Credentials are set properly
- [ ] Org prefix matches your organization
---
### 2. Database Setup
```bash
# Connect to PostgreSQL
psql -U postgres -d botserver
# Run migration
\i migrations/create_kb_and_tools_tables.sql
# Verify tables created
\dt kb_*
\dt basic_tools
# Check triggers
\df update_updated_at_column
```
**Verify:**
- [ ] Tables `kb_documents`, `kb_collections`, `basic_tools` exist
- [ ] Indexes are created
- [ ] Triggers are active
- [ ] No migration errors
---
### 3. MinIO Bucket Setup
```bash
# Using MinIO CLI (mc)
mc alias set local http://localhost:9000 minioadmin minioadmin
mc mb local/org1_default.gbai
mc policy set public local/org1_default.gbai
# Or via MinIO Console at http://localhost:9001
```
**Create folder structure:**
```
org1_default.gbai/
├── .gbkb/ # Knowledge Base documents
└── .gbdialog/ # BASIC scripts
```
**Verify:**
- [ ] Bucket created with correct name
- [ ] Folders `.gbkb/` and `.gbdialog/` exist
- [ ] Upload permissions work
- [ ] Download/read permissions work
---
### 4. Qdrant Setup
```bash
# Check Qdrant is running
curl http://localhost:6333/
# Expected response: {"title":"qdrant - vector search engine","version":"..."}
```
**Verify:**
- [ ] Qdrant responds on port 6333
- [ ] API is accessible
- [ ] Dashboard works at http://localhost:6333/dashboard
- [ ] No authentication errors
---
### 5. LLM Server for Embeddings
```bash
# Check LLM server is running
curl http://localhost:8081/v1/models
# Test embeddings endpoint
curl -X POST http://localhost:8081/v1/embeddings \
-H "Content-Type: application/json" \
-d '{"input": ["test"], "model": "text-embedding-ada-002"}'
```
**Verify:**
- [ ] LLM server responds
- [ ] Embeddings endpoint works
- [ ] Vector dimension is 1536 (or update in code)
- [ ] Response time < 5 seconds
---
## 🚀 Deployment
### 1. Build Application
```bash
# Clean build
cargo clean
cargo build --release
# Verify binary
./target/release/botserver --version
```
**Verify:**
- [ ] Compilation succeeds with no errors
- [ ] Binary created in `target/release/`
- [ ] All features enabled correctly
---
### 2. Upload Initial Files
**Upload to MinIO `.gbkb/` folder:**
```bash
# Example: Upload enrollment documents
mc cp enrollment_guide.pdf local/org1_default.gbai/.gbkb/enrollpdfs/
mc cp requirements.pdf local/org1_default.gbai/.gbkb/enrollpdfs/
mc cp faq.pdf local/org1_default.gbai/.gbkb/enrollpdfs/
```
**Upload to MinIO `.gbdialog/` folder:**
```bash
# Upload BASIC tools
mc cp start.bas local/org1_default.gbai/.gbdialog/
mc cp enrollment.bas local/org1_default.gbai/.gbdialog/
mc cp pricing.bas local/org1_default.gbai/.gbdialog/
```
**Verify:**
- [ ] Documents uploaded successfully
- [ ] BASIC scripts uploaded
- [ ] Files are readable via MinIO
- [ ] Correct folder structure maintained
---
### 3. Start Services
```bash
# Start botserver
./target/release/botserver
# Or with systemd
sudo systemctl start botserver
sudo systemctl enable botserver
# Or with Docker
docker-compose up -d botserver
```
**Monitor startup logs:**
```bash
# Check logs
tail -f /var/log/botserver.log
# Or Docker logs
docker logs -f botserver
```
**Look for:**
- [ ] `KB Manager service started`
- [ ] `MinIO Handler service started`
- [ ] `Startup complete!`
- [ ] No errors about missing services
---
### 4. Verify KB Indexing
**Wait 30-60 seconds for initial indexing**
```bash
# Check Qdrant collections
curl http://localhost:6333/collections
# Should see collections like:
# - kb_<bot_id>_enrollpdfs
# - kb_<bot_id>_productdocs
```
**Check logs for indexing:**
```bash
grep "Indexing document" /var/log/botserver.log
grep "Document indexed successfully" /var/log/botserver.log
```
**Verify:**
- [ ] Collections created in Qdrant
- [ ] Documents indexed (check chunk count)
- [ ] No indexing errors in logs
- [ ] File hashes stored in database
---
### 5. Test Tool Compilation
**Check compiled tools:**
```bash
# List work directory
ls -la ./work/*/default.gbdialog/
# Should see:
# - *.ast files (compiled AST)
# - *.mcp.json files (MCP definitions)
# - *.tool.json files (OpenAI definitions)
```
**Verify:**
- [ ] AST files created for each .bas file
- [ ] MCP JSON files generated (if PARAM exists)
- [ ] Tool JSON files generated (if PARAM exists)
- [ ] No compilation errors in logs
---
## 🧪 Testing
### Test 1: KB Search
```bash
# Create test session with answer_mode=2 (documents only)
curl -X POST http://localhost:8080/sessions \
-H "Content-Type: application/json" \
-d '{
"user_id": "test-user",
"bot_id": "default",
"answer_mode": 2
}'
# Send query
curl -X POST http://localhost:8080/chat \
-H "Content-Type: application/json" \
-d '{
"session_id": "<session_id>",
"message": "What documents do I need for enrollment?"
}'
```
**Expected:**
- [ ] Response contains information from indexed PDFs
- [ ] References to source documents
- [ ] Relevant chunks retrieved
---
### Test 2: Tool Calling
```bash
# Call enrollment tool endpoint
curl -X POST http://localhost:8080/default/enrollment \
-H "Content-Type: application/json" \
-d '{
"name": "Test User",
"email": "test@example.com"
}'
```
**Expected:**
- [ ] Tool executes successfully
- [ ] Data saved to CSV
- [ ] Response includes enrollment ID
- [ ] KB activated (if SET_KB in script)
---
### Test 3: Mixed Mode (KB + Tools)
```bash
# Create session with answer_mode=4 (mixed)
curl -X POST http://localhost:8080/sessions \
-H "Content-Type: application/json" \
-d '{
"user_id": "test-user",
"bot_id": "default",
"answer_mode": 4
}'
# Send query that should use both KB and tools
curl -X POST http://localhost:8080/chat \
-H "Content-Type: application/json" \
-d '{
"session_id": "<session_id>",
"message": "I want to enroll. What information do you need?"
}'
```
**Expected:**
- [ ] Bot references both KB documents and available tools
- [ ] Intelligently decides when to use KB vs tools
- [ ] Context includes both document excerpts and tool info
---
### Test 4: Website Indexing
```bash
# In BASIC or via API, test ADD_WEBSITE
# (Requires script with ADD_WEBSITE keyword)
# Check temporary collection created
curl http://localhost:6333/collections | grep temp_website
```
**Expected:**
- [ ] Website crawled successfully
- [ ] Temporary collection created
- [ ] Content indexed
- [ ] Available for current session only
---
## 🔍 Monitoring
### Health Checks
```bash
# Botserver health
curl http://localhost:8080/health
# Qdrant health
curl http://localhost:6333/
# MinIO health
curl http://localhost:9000/minio/health/live
# Database connection
psql -U postgres -d botserver -c "SELECT 1"
```
**Set up alerts for:**
- [ ] Service downtime
- [ ] High memory usage (>80%)
- [ ] Disk space low (<10%)
- [ ] Indexing failures
- [ ] Tool compilation errors
---
### Log Monitoring
**Important log patterns to watch:**
```bash
# Successful indexing
grep "Document indexed successfully" botserver.log
# Indexing errors
grep "ERROR.*Indexing" botserver.log
# Tool compilation
grep "Tool compiled successfully" botserver.log
# KB Manager activity
grep "KB Manager" botserver.log
# MinIO handler activity
grep "MinIO Handler" botserver.log
```
---
### Database Monitoring
```sql
-- Check document count per collection
SELECT collection_name, COUNT(*) as doc_count
FROM kb_documents
GROUP BY collection_name;
-- Check indexing status
SELECT
collection_name,
COUNT(*) as total,
COUNT(indexed_at) as indexed,
COUNT(*) - COUNT(indexed_at) as pending
FROM kb_documents
GROUP BY collection_name;
-- Check compiled tools
SELECT tool_name, compiled_at, is_active
FROM basic_tools
ORDER BY compiled_at DESC;
-- Recent KB activity
SELECT * FROM kb_documents
ORDER BY updated_at DESC
LIMIT 10;
```
---
## 🔒 Security Checklist
- [ ] Change default MinIO credentials
- [ ] Enable SSL/TLS for MinIO
- [ ] Set up firewall rules
- [ ] Enable Qdrant authentication
- [ ] Use secure PostgreSQL connections
- [ ] Validate file uploads (size, type)
- [ ] Implement rate limiting
- [ ] Set up proper CORS policies
- [ ] Use environment variables for secrets
- [ ] Enable request logging
- [ ] Set up backup strategy
---
## 📊 Performance Tuning
### MinIO Handler
```rust
// In src/kb/minio_handler.rs
interval(Duration::from_secs(15)) // Adjust polling interval
```
### KB Manager
```rust
// In src/kb/mod.rs
interval(Duration::from_secs(30)) // Adjust check interval
```
### Embeddings
```rust
// In src/kb/embeddings.rs
const CHUNK_SIZE: usize = 512; // Adjust chunk size
const CHUNK_OVERLAP: usize = 50; // Adjust overlap
```
### Qdrant
```rust
// In src/kb/qdrant_client.rs
let vector_size = 1536; // Match your embedding model
```
**Tune based on:**
- [ ] Document update frequency
- [ ] System resource usage
- [ ] Query performance requirements
- [ ] Embedding model characteristics
---
## 🔄 Backup & Recovery
### Database Backup
```bash
# Daily backup
pg_dump -U postgres botserver > botserver_$(date +%Y%m%d).sql
# Restore
psql -U postgres botserver < botserver_20240101.sql
```
### MinIO Backup
```bash
# Backup bucket
mc mirror local/org1_default.gbai/ ./backups/minio/
# Restore
mc mirror ./backups/minio/ local/org1_default.gbai/
```
### Qdrant Backup
```bash
# Snapshot all collections
curl -X POST http://localhost:6333/collections/{collection_name}/snapshots
# Download snapshot
curl http://localhost:6333/collections/{collection_name}/snapshots/{snapshot_name}
```
**Schedule:**
- [ ] Database: Daily at 2 AM
- [ ] MinIO: Daily at 3 AM
- [ ] Qdrant: Weekly
- [ ] Test restore monthly
---
## 📚 Documentation
- [ ] Update API documentation
- [ ] Document custom BASIC keywords
- [ ] Create user guides for tools
- [ ] Document KB collection structure
- [ ] Create troubleshooting guide
- [ ] Document deployment process
- [ ] Create runbooks for common issues
---
## ✅ Post-Deployment Verification
**Final Checklist:**
- [ ] All services running and healthy
- [ ] Documents indexing automatically
- [ ] Tools compiling on upload
- [ ] KB search working correctly
- [ ] Tool endpoints responding
- [ ] Mixed mode working as expected
- [ ] Logs are being written
- [ ] Monitoring is active
- [ ] Backups scheduled
- [ ] Security measures in place
- [ ] Documentation updated
- [ ] Team trained on system
---
## 🆘 Rollback Plan
**If deployment fails:**
1. **Stop services**
```bash
sudo systemctl stop botserver
```
2. **Restore database**
```bash
psql -U postgres botserver < botserver_backup.sql
```
3. **Restore MinIO**
```bash
mc mirror ./backups/minio/ local/org1_default.gbai/
```
4. **Revert code**
```bash
git checkout <previous-version>
cargo build --release
```
5. **Restart services**
```bash
sudo systemctl start botserver
```
6. **Verify rollback**
- Test basic functionality
- Check logs for errors
- Verify data integrity
---
## 📞 Support Contacts
- **Infrastructure Issues:** DevOps Team
- **Database Issues:** DBA Team
- **Application Issues:** Development Team
- **Security Issues:** Security Team
---
## 📅 Maintenance Schedule
- **Daily:** Check logs, monitor services
- **Weekly:** Review KB indexing stats, check disk space
- **Monthly:** Test backups, review performance metrics
- **Quarterly:** Security audit, update dependencies
---
**Deployment Status:** ⬜ Not Started | 🟡 In Progress | ✅ Complete
**Deployed By:** ________________
**Date:** ________________
**Version:** ________________
**Sign-off:** ________________

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# Knowledge Base (KB) and Tools System
## Overview
This document describes the comprehensive Knowledge Base (KB) and BASIC Tools compilation system integrated into the botserver. This system enables:
1. **Dynamic Knowledge Base Management**: Monitor MinIO buckets for document changes and automatically index them in Qdrant vector database
2. **BASIC Tool Compilation**: Compile BASIC scripts into AST and generate MCP/OpenAI tool definitions
3. **Intelligent Context Processing**: Enhance prompts with relevant KB documents and available tools based on answer mode
4. **Temporary Website Indexing**: Crawl and index web pages for session-specific knowledge
## Architecture
```
┌─────────────────────────────────────────────────────────────────┐
│ Bot Server │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ KB Manager │ │ MinIO │ │ Qdrant │ │
│ │ │◄──►│ Handler │◄──►│ Client │ │
│ │ │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ ▲ │
│ │ │ │
│ ▼ │ │
│ ┌──────────────┐ ┌──────────────┐ │
│ │ BASIC │ │ Embeddings │ │
│ │ Compiler │ │ Generator │ │
│ │ │ │ │ │
│ └──────────────┘ └──────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ Prompt Processor │ │
│ │ (Integrates KB + Tools based on Answer Mode) │ │
│ └──────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
```
## Components
### 1. KB Manager (`src/kb/mod.rs`)
The KB Manager coordinates MinIO monitoring and Qdrant indexing:
- **Watches collections**: Monitors `.gbkb/` folders for document changes
- **Detects changes**: Uses file hashing (SHA256) to detect modified files
- **Indexes documents**: Splits documents into chunks and generates embeddings
- **Stores metadata**: Maintains document information in PostgreSQL
#### Key Functions
```rust
// Add a KB collection to be monitored
kb_manager.add_collection(bot_id, "enrollpdfs").await?;
// Remove a collection
kb_manager.remove_collection("enrollpdfs").await?;
// Start the monitoring service
let kb_handle = kb_manager.spawn();
```
### 2. MinIO Handler (`src/kb/minio_handler.rs`)
Monitors MinIO buckets for file changes:
- **Polling**: Checks for changes every 15 seconds
- **Event detection**: Identifies created, modified, and deleted files
- **State tracking**: Maintains file ETags and sizes for change detection
#### File Change Events
```rust
pub enum FileChangeEvent {
Created { path: String, size: i64, etag: String },
Modified { path: String, size: i64, etag: String },
Deleted { path: String },
}
```
### 3. Qdrant Client (`src/kb/qdrant_client.rs`)
Manages vector database operations:
- **Collection management**: Create, delete, and check collections
- **Point operations**: Upsert and delete vector points
- **Search**: Semantic search using cosine similarity
#### Example Usage
```rust
let client = get_qdrant_client(&state)?;
// Create collection
client.create_collection("kb_bot123_enrollpdfs", 1536).await?;
// Search
let results = client.search("kb_bot123_enrollpdfs", query_vector, 5).await?;
```
### 4. Embeddings Generator (`src/kb/embeddings.rs`)
Handles text embedding and document indexing:
- **Chunking**: Splits documents into 512-character chunks with 50-char overlap
- **Embedding**: Generates vectors using local LLM server
- **Indexing**: Stores chunks with metadata in Qdrant
#### Document Processing
```rust
// Index a document
index_document(&state, "kb_bot_collection", "file.pdf", &content).await?;
// Search for similar documents
let results = search_similar(&state, "kb_bot_collection", "query", 5).await?;
```
### 5. BASIC Compiler (`src/basic/compiler/mod.rs`)
Compiles BASIC scripts and generates tool definitions:
#### Input: BASIC Script with Metadata
```basic
PARAM name AS string LIKE "Abreu Silva" DESCRIPTION "Required full name"
PARAM birthday AS date LIKE "23/09/2001" DESCRIPTION "Birth date in DD/MM/YYYY"
PARAM email AS string LIKE "user@example.com" DESCRIPTION "Email address"
DESCRIPTION "Enrollment process for new users"
// Script logic here
SAVE "enrollments.csv", id, name, birthday, email
TALK "Thanks, you are enrolled!"
SET_KB "enrollpdfs"
```
#### Output: Multiple Files
1. **enrollment.ast**: Compiled Rhai AST
2. **enrollment.mcp.json**: MCP tool definition
3. **enrollment.tool.json**: OpenAI tool definition
#### MCP Tool Format
```json
{
"name": "enrollment",
"description": "Enrollment process for new users",
"input_schema": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Required full name",
"example": "Abreu Silva"
},
"birthday": {
"type": "string",
"description": "Birth date in DD/MM/YYYY",
"example": "23/09/2001"
}
},
"required": ["name", "birthday", "email"]
}
}
```
### 6. Prompt Processor (`src/context/prompt_processor.rs`)
Enhances queries with context based on answer mode:
#### Answer Modes
| Mode | Value | Description |
|------|-------|-------------|
| Direct | 0 | No additional context, direct LLM response |
| WithTools | 1 | Include available tools in prompt |
| DocumentsOnly | 2 | Search KB only, no LLM generation |
| WebSearch | 3 | Include web search results |
| Mixed | 4 | Combine KB documents + tools (context-aware) |
#### Mixed Mode Flow
```
User Query
│
▼
┌─────────────────────────┐
│ Prompt Processor │
│ (Answer Mode: Mixed) │
└─────────────────────────┘
│
├──► Search KB Documents (Qdrant)
│ └─► Returns relevant chunks
│
├──► Get Available Tools (Session Context)
│ └─► Returns tool definitions
│
▼
┌─────────────────────────┐
│ Enhanced Prompt │
│ • System Prompt │
│ • Document Context │
│ • Available Tools │
│ • User Query │
└─────────────────────────┘
```
## BASIC Keywords
### SET_KB
Activates a KB collection for the current session.
```basic
SET_KB "enrollpdfs"
```
- Creates/ensures Qdrant collection exists
- Updates session context with active collection
- Documents in `.gbkb/enrollpdfs/` are indexed
### ADD_KB
Adds an additional KB collection (can have multiple).
```basic
ADD_KB "productbrochurespdfsanddocs"
```
### ADD_TOOL
Compiles and registers a BASIC tool.
```basic
ADD_TOOL "enrollment.bas"
```
Downloads from MinIO (`.gbdialog/enrollment.bas`), compiles to:
- `./work/{bot_id}.gbai/{bot_id}.gbdialog/enrollment.ast`
- `./work/{bot_id}.gbai/{bot_id}.gbdialog/enrollment.mcp.json`
- `./work/{bot_id}.gbai/{bot_id}.gbdialog/enrollment.tool.json`
#### With MCP Endpoint
```basic
ADD_TOOL "enrollment.bas" as MCP
```
Creates an HTTP endpoint at `/default/enrollment` that:
- Accepts JSON matching the tool schema
- Executes the BASIC script
- Returns the result
### ADD_WEBSITE
Crawls and indexes a website for the current session.
```basic
ADD_WEBSITE "https://example.com/docs"
```
- Fetches HTML content
- Extracts readable text (removes scripts, styles)
- Creates temporary Qdrant collection
- Indexes content with embeddings
- Available for remainder of session
## Database Schema
### kb_documents
Stores metadata about indexed documents:
```sql
CREATE TABLE kb_documents (
id UUID PRIMARY KEY,
bot_id UUID NOT NULL,
collection_name TEXT NOT NULL,
file_path TEXT NOT NULL,
file_size BIGINT NOT NULL,
file_hash TEXT NOT NULL,
first_published_at TIMESTAMPTZ NOT NULL,
last_modified_at TIMESTAMPTZ NOT NULL,
indexed_at TIMESTAMPTZ,
metadata JSONB DEFAULT '{}',
UNIQUE(bot_id, collection_name, file_path)
);
```
### kb_collections
Stores KB collection information:
```sql
CREATE TABLE kb_collections (
id UUID PRIMARY KEY,
bot_id UUID NOT NULL,
name TEXT NOT NULL,
folder_path TEXT NOT NULL,
qdrant_collection TEXT NOT NULL,
document_count INTEGER NOT NULL DEFAULT 0,
UNIQUE(bot_id, name)
);
```
### basic_tools
Stores compiled BASIC tools:
```sql
CREATE TABLE basic_tools (
id UUID PRIMARY KEY,
bot_id UUID NOT NULL,
tool_name TEXT NOT NULL,
file_path TEXT NOT NULL,
ast_path TEXT NOT NULL,
mcp_json JSONB,
tool_json JSONB,
compiled_at TIMESTAMPTZ NOT NULL,
is_active BOOLEAN NOT NULL DEFAULT true,
UNIQUE(bot_id, tool_name)
);
```
## Workflow Examples
### Example 1: Enrollment with KB
**File Structure:**
```
bot.gbai/
├── .gbkb/
│ └── enrollpdfs/
│ ├── enrollment_guide.pdf
│ ├── requirements.pdf
│ └── faq.pdf
├── .gbdialog/
│ ├── start.bas
│ └── enrollment.bas
```
**start.bas:**
```basic
ADD_TOOL "enrollment.bas" as MCP
ADD_KB "enrollpdfs"
```
**enrollment.bas:**
```basic
PARAM name AS string LIKE "John Doe" DESCRIPTION "Full name"
PARAM email AS string LIKE "john@example.com" DESCRIPTION "Email"
DESCRIPTION "Enrollment process with KB support"
// Validate input
IF name = "" THEN
TALK "Please provide your name"
EXIT
END IF
// Save to database
SAVE "enrollments.csv", name, email
// Set KB for enrollment docs
SET_KB "enrollpdfs"
TALK "Thanks! You can now ask me about enrollment procedures."
```
**User Interaction:**
1. User: "I want to enroll"
2. Bot calls `enrollment` tool, collects parameters
3. After enrollment, SET_KB activates `enrollpdfs` collection
4. User: "What documents do I need?"
5. Bot searches KB (mode=2 or 4), finds relevant PDFs, responds with info
### Example 2: Product Support with Web Content
**support.bas:**
```basic
PARAM product AS string LIKE "fax" DESCRIPTION "Product name"
DESCRIPTION "Get product information"
// Find in database
price = -1
productRecord = FIND "products.csv", "name = ${product}"
IF productRecord THEN
price = productRecord.price
END IF
// Add product documentation website
ADD_WEBSITE "https://example.com/products/${product}"
// Add product brochures KB
SET_KB "productbrochurespdfsanddocs"
RETURN price
```
**User Flow:**
1. User: "What's the price of a fax machine?"
2. Tool executes, finds price in CSV
3. ADD_WEBSITE indexes product page
4. SET_KB activates brochures collection
5. User: "How do I set it up?"
6. Prompt processor (Mixed mode) searches both:
- Temporary website collection
- Product brochures KB
7. Returns setup instructions from indexed sources
## Configuration
### Environment Variables
```bash
# Qdrant Configuration
QDRANT_URL=http://localhost:6333
# LLM for Embeddings
LLM_URL=http://localhost:8081
# MinIO Configuration (from config)
MINIO_ENDPOINT=localhost:9000
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_ORG_PREFIX=org1_
# Database
DATABASE_URL=postgresql://user:pass@localhost/botserver
```
### Answer Mode Selection
Set in session's `answer_mode` field:
```rust
// Example: Update session to Mixed mode
session.answer_mode = 4;
```
Or via API when creating session:
```json
POST /sessions
{
"user_id": "...",
"bot_id": "...",
"answer_mode": 4
}
```
## Security Considerations
1. **Path Traversal Protection**: All file paths validated to prevent `..` attacks
2. **Safe Tool Paths**: Tools must be in `.gbdialog/` folder
3. **URL Validation**: ADD_WEBSITE only allows HTTP/HTTPS URLs
4. **Bucket Isolation**: Each organization has separate MinIO bucket
5. **Hash Verification**: File changes detected by SHA256 hash
## Performance Tuning
### KB Manager
- **Poll Interval**: 30 seconds (adjustable in `kb/mod.rs`)
- **Chunk Size**: 512 characters (in `kb/embeddings.rs`)
- **Chunk Overlap**: 50 characters
### MinIO Handler
- **Poll Interval**: 15 seconds (adjustable in `kb/minio_handler.rs`)
- **State Caching**: File states cached in memory
### Qdrant
- **Vector Size**: 1536 (OpenAI ada-002 compatible)
- **Distance Metric**: Cosine similarity
- **Search Limit**: Configurable per query
## Troubleshooting
### Documents Not Indexing
1. Check MinIO handler is watching correct prefix:
```rust
minio_handler.watch_prefix(".gbkb/").await;
```
2. Verify Qdrant connection:
```bash
curl http://localhost:6333/collections
```
3. Check logs for indexing errors:
```
grep "Indexing document" botserver.log
```
### Tools Not Compiling
1. Verify PARAM syntax is correct
2. Check tool file is in `.gbdialog/` folder
3. Ensure work directory exists and is writable
4. Review compilation logs
### KB Search Not Working
1. Verify collection exists in session context
2. Check Qdrant collection created:
```bash
curl http://localhost:6333/collections/{collection_name}
```
3. Ensure embeddings are being generated (check LLM server)
## Future Enhancements
1. **Incremental Indexing**: Only reindex changed chunks
2. **Document Deduplication**: Detect and merge duplicate content
3. **Advanced Crawling**: Follow links, handle JavaScript
4. **Tool Versioning**: Track tool versions and changes
5. **KB Analytics**: Track search queries and document usage
6. **Automatic Tool Discovery**: Scan `.gbdialog/` on startup
7. **Distributed Indexing**: Scale across multiple workers
8. **Real-time Notifications**: WebSocket updates when KB changes
## References
- **Qdrant Documentation**: https://qdrant.tech/documentation/
- **Model Context Protocol**: https://modelcontextprotocol.io/
- **MinIO Documentation**: https://min.io/docs/
- **Rhai Scripting**: https://rhai.rs/book/
## Support
For issues or questions:
- GitHub Issues: https://github.com/GeneralBots/BotServer/issues
- Documentation: https://docs.generalbots.ai/

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# Quick Start: KB and Tools System
## 🎯 Overview
O sistema KB (Knowledge Base) e Tools é completamente **automático e dirigido pelo Drive**:
- **Monitora o Drive (MinIO/S3)** automaticamente
- **Compila tools** quando `.bas` é alterado em `.gbdialog/`
- **Indexa documentos** quando arquivos mudam em `.gbkb/`
- **KB por usuário**, não por sessão
- **Tools por sessão**, não compilados no runtime
## 🚀 Quick Setup (5 minutos)
### 1. Install Dependencies
```bash
# Start required services
docker-compose up -d qdrant postgres
# MinIO (or S3-compatible storage)
docker run -p 9000:9000 -p 9001:9001 \
-e MINIO_ROOT_USER=minioadmin \
-e MINIO_ROOT_PASSWORD=minioadmin \
minio/minio server /data --console-address ":9001"
```
### 2. Configure Environment
```bash
# .env
QDRANT_URL=http://localhost:6333
LLM_URL=http://localhost:8081
DRIVE_ENDPOINT=localhost:9000
DRIVE_ACCESS_KEY=minioadmin
DRIVE_SECRET_KEY=minioadmin
DATABASE_URL=postgresql://user:pass@localhost/botserver
```
**Nota:** Use nomes genéricos como `DRIVE_*` ao invés de `MINIO_*` quando possível.
### 3. Run Database Migration
```sql
-- Run migration (compatível SQLite e Postgres)
sqlite3 botserver.db < migrations/6.0.3.sql
-- ou
psql -d botserver -f migrations/6.0.3.sql
```
### 4. Create Bot Structure in Drive
Create bucket: `org1_default.gbai`
```
org1_default.gbai/
├── .gbkb/ # Knowledge Base folders
│ ├── enrollpdfs/ # Collection 1 (auto-indexed)
│ │ ├── guide.pdf
│ │ └── requirements.pdf
│ └── productdocs/ # Collection 2 (auto-indexed)
│ └── catalog.pdf
└── .gbdialog/ # BASIC scripts (auto-compiled)
├── start.bas
├── enrollment.bas
└── pricing.bas
```
## 📝 Create Your First Tool (2 minutes)
### enrollment.bas
```basic
PARAM name AS string LIKE "John Doe" DESCRIPTION "Full name"
PARAM email AS string LIKE "john@example.com" DESCRIPTION "Email address"
DESCRIPTION "User enrollment process"
SAVE "enrollments.csv", name, email
TALK "Enrolled! You can ask me about enrollment procedures."
RETURN "success"
```
### start.bas
```basic
REM ADD_TOOL apenas ASSOCIA a tool à sessão (não compila!)
REM A compilação acontece automaticamente quando o arquivo muda no Drive
ADD_TOOL "enrollment"
ADD_TOOL "pricing"
REM ADD_KB é por USER, não por sessão
REM Basta existir em .gbkb/ que já está indexado
ADD_KB "enrollpdfs"
TALK "Hi! I can help with enrollment and pricing."
```
## 🔄 How It Works: Drive-First Approach
```
┌─────────────────────────────────────────────────────┐
│ 1. Upload file.pdf to .gbkb/enrollpdfs/ │
│ ↓ │
│ 2. DriveMonitor detecta mudança (30s polling) │
│ ↓ │
│ 3. Automaticamente indexa no Qdrant │
│ ↓ │
│ 4. Metadados salvos no banco (kb_documents) │
│ ↓ │
│ 5. KB está disponível para TODOS os usuários │
└─────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────┐
│ 1. Upload enrollment.bas to .gbdialog/ │
│ ↓ │
│ 2. DriveMonitor detecta mudança (30s polling) │
│ ↓ │
│ 3. Automaticamente compila para .ast │
│ ↓ │
│ 4. Gera .mcp.json e .tool.json (se tem PARAM) │
│ ↓ │
│ 5. Salvo em ./work/default.gbai/default.gbdialog/ │
│ ↓ │
│ 6. Metadados salvos no banco (basic_tools) │
│ ↓ │
│ 7. Tool compilada e pronta para uso │
└─────────────────────────────────────────────────────┘
```
## 🎯 Keywords BASIC
### ADD_TOOL (Associa tool à sessão)
```basic
ADD_TOOL "enrollment" # Apenas o nome, sem .bas
```
**O que faz:**
- Associa a tool **já compilada** com a sessão atual
- NÃO compila (isso é feito automaticamente pelo DriveMonitor)
- Armazena em `session_tool_associations` table
**Importante:** A tool deve existir em `basic_tools` (já compilada).
### ADD_KB (Adiciona KB para o usuário)
```basic
ADD_KB "enrollpdfs"
```
**O que faz:**
- Associa KB com o **usuário** (não sessão!)
- Armazena em `user_kb_associations` table
- KB já deve estar indexado (arquivos em `.gbkb/enrollpdfs/`)
### ADD_WEBSITE (Adiciona website como KB para o usuário)
```basic
ADD_WEBSITE "https://docs.example.com"
```
**O que faz:**
- Faz crawling do website (usa `WebCrawler`)
- Cria KB temporário para o usuário
- Indexa no Qdrant
- Armazena em `user_kb_associations` com `is_website=1`
## 📊 Database Tables (SQLite/Postgres Compatible)
### kb_documents (Metadados de documentos indexados)
```sql
CREATE TABLE kb_documents (
id TEXT PRIMARY KEY,
bot_id TEXT NOT NULL,
user_id TEXT NOT NULL,
collection_name TEXT NOT NULL,
file_path TEXT NOT NULL,
file_size INTEGER NOT NULL,
file_hash TEXT NOT NULL,
indexed_at TEXT,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL
);
```
### basic_tools (Tools compiladas)
```sql
CREATE TABLE basic_tools (
id TEXT PRIMARY KEY,
bot_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
file_path TEXT NOT NULL,
ast_path TEXT NOT NULL,
file_hash TEXT NOT NULL,
mcp_json TEXT,
tool_json TEXT,
compiled_at TEXT NOT NULL,
is_active INTEGER NOT NULL DEFAULT 1
);
```
### user_kb_associations (KB por usuário)
```sql
CREATE TABLE user_kb_associations (
id TEXT PRIMARY KEY,
user_id TEXT NOT NULL,
bot_id TEXT NOT NULL,
kb_name TEXT NOT NULL,
is_website INTEGER NOT NULL DEFAULT 0,
website_url TEXT,
UNIQUE(user_id, bot_id, kb_name)
);
```
### session_tool_associations (Tools por sessão)
```sql
CREATE TABLE session_tool_associations (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
added_at TEXT NOT NULL,
UNIQUE(session_id, tool_name)
);
```
## 🔧 Drive Monitor (Automatic Background Service)
O `DriveMonitor` roda automaticamente ao iniciar o servidor:
```rust
// In main.rs
let bucket_name = format!("{}default.gbai", cfg.org_prefix);
let drive_monitor = Arc::new(DriveMonitor::new(app_state, bucket_name));
let _handle = drive_monitor.spawn();
```
**Monitora:**
- `.gbdialog/*.bas` → Compila automaticamente
- `.gbkb/*/*.{pdf,txt,md}` → Indexa automaticamente
**Intervalo:** 30 segundos (ajustável)
## 📚 Example: Complete Enrollment Flow
### 1. Upload enrollment.bas to Drive
```bash
mc cp enrollment.bas local/org1_default.gbai/.gbdialog/
```
### 2. Wait for Compilation (30s max)
```
[INFO] New BASIC tool detected: .gbdialog/enrollment.bas
[INFO] Tool compiled successfully: enrollment
[INFO] AST: ./work/default.gbai/default.gbdialog/enrollment.ast
[INFO] MCP tool definition generated
```
### 3. Upload KB documents
```bash
mc cp guide.pdf local/org1_default.gbai/.gbkb/enrollpdfs/
mc cp faq.pdf local/org1_default.gbai/.gbkb/enrollpdfs/
```
### 4. Wait for Indexing (30s max)
```
[INFO] New KB document detected: .gbkb/enrollpdfs/guide.pdf
[INFO] Extracted 5420 characters from .gbkb/enrollpdfs/guide.pdf
[INFO] Document indexed successfully: .gbkb/enrollpdfs/guide.pdf
```
### 5. Use in BASIC Script
```basic
REM start.bas
ADD_TOOL "enrollment"
ADD_KB "enrollpdfs"
TALK "Ready to help with enrollment!"
```
### 6. User Interaction
```
User: "I want to enroll"
Bot: [Calls enrollment tool, collects info]
User: "What documents do I need?"
Bot: [Searches enrollpdfs KB, returns relevant info from guide.pdf]
```
## 🎓 Best Practices
### ✅ DO
- Upload files to Drive and let the system auto-compile/index
- Use generic names (Drive, Cache) when possible
- Use `ADD_KB` for persistent user knowledge
- Use `ADD_TOOL` to activate tools in session
- Keep tools in `.gbdialog/`, KB docs in `.gbkb/`
### ❌ DON'T
- Don't try to compile tools in runtime (it's automatic!)
- Don't use session for KB (it's user-based)
- Don't use `SET_KB` and `ADD_KB` together (they do the same)
- Don't expect instant updates (30s polling interval)
## 🔍 Monitoring
### Check Compiled Tools
```bash
ls -la ./work/default.gbai/default.gbdialog/
# Should see:
# - enrollment.ast
# - enrollment.mcp.json
# - enrollment.tool.json
# - pricing.ast
# - pricing.mcp.json
# - pricing.tool.json
```
### Check Indexed Documents
```bash
# Query Qdrant
curl http://localhost:6333/collections
# Should see collections like:
# - kb_default_enrollpdfs
# - kb_default_productdocs
```
### Check Database
```sql
-- Compiled tools
SELECT tool_name, compiled_at, is_active FROM basic_tools;
-- Indexed documents
SELECT file_path, indexed_at FROM kb_documents;
-- User KBs
SELECT user_id, kb_name, is_website FROM user_kb_associations;
-- Session tools
SELECT session_id, tool_name FROM session_tool_associations;
```
## 🐛 Troubleshooting
### Tool not compiling?
1. Check file is in `.gbdialog/` folder
2. File must end with `.bas`
3. Wait 30 seconds for DriveMonitor poll
4. Check logs: `grep "Compiling BASIC tool" botserver.log`
### Document not indexing?
1. Check file is in `.gbkb/collection_name/` folder
2. File must be `.pdf`, `.txt`, or `.md`
3. Wait 30 seconds for DriveMonitor poll
4. Check logs: `grep "Indexing KB document" botserver.log`
### ADD_TOOL fails?
1. Tool must be already compiled (check `basic_tools` table)
2. Use only tool name: `ADD_TOOL "enrollment"` (not `.bas`)
3. Check if `is_active=1` in database
### KB search not working?
1. Use `ADD_KB` in user's script (not session)
2. Check collection exists in Qdrant
3. Verify `user_kb_associations` has entry
4. Check answer_mode (use 2 or 4 for KB)
## 🆘 Support
- Full Docs: `docs/KB_AND_TOOLS.md`
- Examples: `examples/`
- Deployment: `docs/DEPLOYMENT_CHECKLIST.md`
---
**The system is fully automatic and drive-first!** 🚀
Just upload to Drive → DriveMonitor handles the rest.

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# Tool Management System
## Overview
The Bot Server now supports **multiple tool associations** per user session. This allows users to dynamically load, manage, and use multiple BASIC tools during a single conversation without needing to restart or change sessions.
## Features
- **Multiple Tools per Session**: Associate multiple compiled BASIC tools with a single conversation
- **Dynamic Management**: Add or remove tools on-the-fly during a conversation
- **Session Isolation**: Each session has its own independent set of active tools
- **Persistent Associations**: Tool associations are stored in the database and survive across requests
- **Real Database Implementation**: No SQL placeholders - fully implemented with Diesel ORM
## Database Schema
### `session_tool_associations` Table
```sql
CREATE TABLE IF NOT EXISTS session_tool_associations (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
added_at TEXT NOT NULL,
UNIQUE(session_id, tool_name)
);
```
**Indexes:**
- `idx_session_tool_session` on `session_id`
- `idx_session_tool_name` on `tool_name`
The UNIQUE constraint ensures a tool cannot be added twice to the same session.
## BASIC Keywords
### `ADD_TOOL`
Adds a compiled tool to the current session, making it available for the LLM to call.
**Syntax:**
```basic
ADD_TOOL "<path_to_tool>"
```
**Example:**
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/payment.bas"
ADD_TOOL ".gbdialog/support.bas"
```
**Behavior:**
- Validates that the tool exists in the `basic_tools` table
- Verifies the tool is active (`is_active = 1`)
- Checks the tool belongs to the current bot
- Inserts into `session_tool_associations` table
- Returns success message or error if tool doesn't exist
- If tool is already associated, reports it's already active
**Returns:**
- Success: `"Tool 'enrollment' is now available in this conversation"`
- Already added: `"Tool 'enrollment' is already available in this conversation"`
- Error: `"Tool 'enrollment' is not available. Make sure the tool file is compiled and active."`
---
### `REMOVE_TOOL`
Removes a tool association from the current session.
**Syntax:**
```basic
REMOVE_TOOL "<path_to_tool>"
```
**Example:**
```basic
REMOVE_TOOL ".gbdialog/support.bas"
```
**Behavior:**
- Removes the tool from `session_tool_associations` for this session
- Does not delete the compiled tool itself
- Only affects the current session
**Returns:**
- Success: `"Tool 'support' has been removed from this conversation"`
- Not found: `"Tool 'support' was not active in this conversation"`
---
### `CLEAR_TOOLS`
Removes all tool associations from the current session.
**Syntax:**
```basic
CLEAR_TOOLS
```
**Example:**
```basic
CLEAR_TOOLS
```
**Behavior:**
- Removes all entries in `session_tool_associations` for this session
- Does not affect other sessions
- Does not delete compiled tools
**Returns:**
- Success: `"All 3 tool(s) have been removed from this conversation"`
- No tools: `"No tools were active in this conversation"`
---
### `LIST_TOOLS`
Lists all tools currently associated with the session.
**Syntax:**
```basic
LIST_TOOLS
```
**Example:**
```basic
LIST_TOOLS
```
**Output:**
```
Active tools in this conversation (3):
1. enrollment
2. payment
3. analytics
```
**Returns:**
- With tools: Lists all active tools with numbering
- No tools: `"No tools are currently active in this conversation"`
---
## How It Works
### Tool Loading Flow
1. **User calls `ADD_TOOL` in BASIC script**
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
```
2. **System validates tool exists**
- Queries `basic_tools` table
- Checks `bot_id` matches current bot
- Verifies `is_active = 1`
3. **Association is created**
- Inserts into `session_tool_associations`
- Uses UNIQUE constraint to prevent duplicates
- Stores session_id, tool_name, and timestamp
4. **LLM requests include tools**
- When processing prompts, system loads all tools from `session_tool_associations`
- Tools are added to the LLM's available function list
- LLM can now call any associated tool
### Integration with Prompt Processor
The `PromptProcessor::get_available_tools()` method now:
1. Loads tool stack from bot configuration (existing behavior)
2. **NEW**: Queries `session_tool_associations` for the current session
3. Adds all associated tools to the available tools list
4. Maintains backward compatibility with legacy `current_tool` field
**Code Example:**
```rust
// From src/context/prompt_processor.rs
if let Ok(mut conn) = self.state.conn.lock() {
match get_session_tools(&mut *conn, &session.id) {
Ok(session_tools) => {
for tool_name in session_tools {
if !tools.iter().any(|t| t.tool_name == tool_name) {
tools.push(ToolContext {
tool_name: tool_name.clone(),
description: format!("Tool: {}", tool_name),
endpoint: format!("/default/{}", tool_name),
});
}
}
}
Err(e) => error!("Failed to load session tools: {}", e),
}
}
```
---
## Rust API
### Public Functions
All functions are in `botserver/src/basic/keywords/add_tool.rs`:
```rust
/// Get all tools associated with a session
pub fn get_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<Vec<String>, diesel::result::Error>
/// Remove a tool association from a session
pub fn remove_session_tool(
conn: &mut PgConnection,
session_id: &Uuid,
tool_name: &str,
) -> Result<usize, diesel::result::Error>
/// Clear all tool associations for a session
pub fn clear_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<usize, diesel::result::Error>
```
**Usage Example:**
```rust
use crate::basic::keywords::add_tool::get_session_tools;
let tools = get_session_tools(&mut conn, &session_id)?;
for tool_name in tools {
println!("Active tool: {}", tool_name);
}
```
---
## Use Cases
### 1. Progressive Tool Loading
Start with basic tools and add more as needed:
```basic
REM Start with customer service tool
ADD_TOOL ".gbdialog/customer_service.bas"
REM If user needs technical support, add that tool
IF user_needs_technical_support THEN
ADD_TOOL ".gbdialog/technical_support.bas"
END IF
REM If billing question, add payment tool
IF user_asks_about_billing THEN
ADD_TOOL ".gbdialog/billing.bas"
END IF
```
### 2. Context-Aware Tool Management
Different tools for different conversation stages:
```basic
REM Initial greeting phase
ADD_TOOL ".gbdialog/greeting.bas"
HEAR "start"
REM Main interaction phase
REMOVE_TOOL ".gbdialog/greeting.bas"
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/faq.bas"
HEAR "continue"
REM Closing phase
CLEAR_TOOLS
ADD_TOOL ".gbdialog/feedback.bas"
HEAR "finish"
```
### 3. Department-Specific Tools
Route to different tool sets based on department:
```basic
GET "/api/user/department" AS department
IF department = "sales" THEN
ADD_TOOL ".gbdialog/lead_capture.bas"
ADD_TOOL ".gbdialog/quote_generator.bas"
ADD_TOOL ".gbdialog/crm_integration.bas"
ELSE IF department = "support" THEN
ADD_TOOL ".gbdialog/ticket_system.bas"
ADD_TOOL ".gbdialog/knowledge_base.bas"
ADD_TOOL ".gbdialog/escalation.bas"
END IF
```
### 4. A/B Testing Tools
Test different tool combinations:
```basic
GET "/api/user/experiment_group" AS group
IF group = "A" THEN
ADD_TOOL ".gbdialog/tool_variant_a.bas"
ELSE
ADD_TOOL ".gbdialog/tool_variant_b.bas"
END IF
REM Both groups get common tools
ADD_TOOL ".gbdialog/common_tools.bas"
```
---
## Answer Modes
The system respects the session's `answer_mode`:
- **Mode 0 (Direct)**: No tools used
- **Mode 1 (WithTools)**: Uses associated tools + legacy `current_tool`
- **Mode 2 (DocumentsOnly)**: Only KB documents, no tools
- **Mode 3 (WebSearch)**: Web search enabled
- **Mode 4 (Mixed)**: Tools from `session_tool_associations` + KB documents
Set answer mode via session configuration or dynamically.
---
## Best Practices
### 1. **Validate Before Use**
Always check if a tool is successfully added:
```basic
ADD_TOOL ".gbdialog/payment.bas"
LIST_TOOLS REM Verify it was added
```
### 2. **Clean Up When Done**
Remove tools that are no longer needed to improve LLM performance:
```basic
REMOVE_TOOL ".gbdialog/onboarding.bas"
```
### 3. **Use LIST_TOOLS for Debugging**
When developing, list tools to verify state:
```basic
LIST_TOOLS
PRINT "Current tools listed above"
```
### 4. **Tool Names are Simple**
Tool names are extracted from paths automatically:
- `.gbdialog/enrollment.bas` → `enrollment`
- `payment.bas` → `payment`
### 5. **Session Isolation**
Each session maintains its own tool list. Tools added in one session don't affect others.
### 6. **Compile Before Adding**
Ensure tools are compiled and present in the `basic_tools` table before attempting to add them. The DriveMonitor service handles compilation automatically when `.bas` files are saved.
---
## Migration Guide
### Upgrading from Single Tool (`current_tool`)
**Before (Legacy):**
```rust
// Single tool stored in session.current_tool
session.current_tool = Some("enrollment".to_string());
```
**After (Multi-Tool):**
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/payment.bas"
ADD_TOOL ".gbdialog/support.bas"
```
**Backward Compatibility:**
The system still supports the legacy `current_tool` field. If set, it will be included in the available tools list alongside tools from `session_tool_associations`.
---
## Technical Implementation Details
### Database Operations
All operations use Diesel ORM with proper error handling:
```rust
// Insert with conflict resolution
diesel::insert_into(session_tool_associations::table)
.values((/* ... */))
.on_conflict((session_id, tool_name))
.do_nothing()
.execute(&mut *conn)
// Delete specific tool
diesel::delete(
session_tool_associations::table
.filter(session_id.eq(&session_id_str))
.filter(tool_name.eq(tool_name))
).execute(&mut *conn)
// Load all tools
session_tool_associations::table
.filter(session_id.eq(&session_id_str))
.select(tool_name)
.load::<String>(&mut *conn)
```
### Thread Safety
All operations use Arc<Mutex<PgConnection>> for thread-safe database access:
```rust
let mut conn = state.conn.lock().map_err(|e| {
error!("Failed to acquire database lock: {}", e);
format!("Database connection error: {}", e)
})?;
```
### Async Execution
Keywords spawn async tasks using Tokio runtime to avoid blocking the Rhai engine:
```rust
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
// ... execute async operation
});
```
---
## Error Handling
### Common Errors
1. **Tool Not Found**
- Message: `"Tool 'xyz' is not available. Make sure the tool file is compiled and active."`
- Cause: Tool doesn't exist in `basic_tools` or is inactive
- Solution: Compile the tool or check bot_id matches
2. **Database Lock Error**
- Message: `"Database connection error: ..."`
- Cause: Failed to acquire database mutex
- Solution: Check database connection health
3. **Timeout**
- Message: `"ADD_TOOL timed out"`
- Cause: Operation took longer than 10 seconds
- Solution: Check database performance
### Error Recovery
All operations are atomic - if they fail, no partial state is committed:
```basic
ADD_TOOL ".gbdialog/nonexistent.bas"
REM Error returned, no changes made
LIST_TOOLS
REM Still shows previous tools only
```
---
## Performance Considerations
### Database Indexes
The following indexes ensure fast lookups:
- `idx_session_tool_session`: Fast retrieval of all tools for a session
- `idx_session_tool_name`: Fast tool name lookups
- UNIQUE constraint on (session_id, tool_name): Prevents duplicates
### Query Optimization
Tools are loaded once per prompt processing:
```rust
// Efficient batch load
let tools = get_session_tools(&mut conn, &session.id)?;
```
### Memory Usage
- Tool associations are lightweight (only stores IDs and names)
- No tool code is duplicated in the database
- Compiled tools are referenced, not copied
---
## Security
### Access Control
- Tools are validated against bot_id
- Users can only add tools belonging to their current bot
- Session isolation prevents cross-session access
### Input Validation
- Tool names are extracted and sanitized
- SQL injection prevented by Diesel parameterization
- Empty tool names are rejected
---
## Testing
### Example Test Script
See `botserver/examples/tool_management_example.bas` for a complete working example.
### Unit Testing
Test the Rust API directly:
```rust
#[test]
fn test_multiple_tool_association() {
let mut conn = establish_connection();
let session_id = Uuid::new_v4();
// Add tools
add_tool(&mut conn, &session_id, "tool1").unwrap();
add_tool(&mut conn, &session_id, "tool2").unwrap();
// Verify
let tools = get_session_tools(&mut conn, &session_id).unwrap();
assert_eq!(tools.len(), 2);
// Remove one
remove_session_tool(&mut conn, &session_id, "tool1").unwrap();
let tools = get_session_tools(&mut conn, &session_id).unwrap();
assert_eq!(tools.len(), 1);
// Clear all
clear_session_tools(&mut conn, &session_id).unwrap();
let tools = get_session_tools(&mut conn, &session_id).unwrap();
assert_eq!(tools.len(), 0);
}
```
---
## Future Enhancements
Potential improvements:
1. **Tool Priority/Ordering**: Specify which tools to try first
2. **Tool Groups**: Add/remove sets of related tools together
3. **Auto-Cleanup**: Remove tool associations when session ends
4. **Tool Statistics**: Track which tools are used most frequently
5. **Conditional Tool Loading**: Load tools based on LLM decisions
6. **Tool Permissions**: Fine-grained control over which users can use which tools
---
## Troubleshooting
### Tools Not Appearing
1. Check compilation:
```sql
SELECT * FROM basic_tools WHERE tool_name = 'enrollment';
```
2. Verify bot_id matches:
```sql
SELECT bot_id FROM basic_tools WHERE tool_name = 'enrollment';
```
3. Check is_active flag:
```sql
SELECT is_active FROM basic_tools WHERE tool_name = 'enrollment';
```
### Tools Not Being Called
1. Verify answer_mode is 1 or 4
2. Check tool is in session associations:
```sql
SELECT * FROM session_tool_associations WHERE session_id = '<your-session-id>';
```
3. Review LLM logs to see if tool was included in prompt
### Database Issues
Check connection:
```bash
psql -h localhost -U your_user -d your_database
\dt session_tool_associations
```
---
## References
- **Schema**: `botserver/migrations/6.0.3.sql`
- **Implementation**: `botserver/src/basic/keywords/add_tool.rs`
- **Prompt Integration**: `botserver/src/context/prompt_processor.rs`
- **Models**: `botserver/src/shared/models.rs`
- **Example**: `botserver/examples/tool_management_example.bas`
---
## License
This feature is part of the Bot Server project. See the main LICENSE file for details.

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# Tool Management Quick Reference
## 🚀 Quick Start
### Add a Tool
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
```
### Remove a Tool
```basic
REMOVE_TOOL ".gbdialog/enrollment.bas"
```
### List Active Tools
```basic
LIST_TOOLS
```
### Clear All Tools
```basic
CLEAR_TOOLS
```
---
## 📋 Common Patterns
### Multiple Tools in One Session
```basic
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/payment.bas"
ADD_TOOL ".gbdialog/support.bas"
LIST_TOOLS
```
### Progressive Loading
```basic
REM Start with basic tool
ADD_TOOL ".gbdialog/greeting.bas"
REM Add more as needed
IF user_needs_help THEN
ADD_TOOL ".gbdialog/support.bas"
END IF
```
### Tool Rotation
```basic
REM Switch tools for different phases
REMOVE_TOOL ".gbdialog/onboarding.bas"
ADD_TOOL ".gbdialog/main_menu.bas"
```
---
## ⚡ Key Features
- ✅ **Multiple tools per session** - No limit on number of tools
- ✅ **Dynamic management** - Add/remove during conversation
- ✅ **Session isolation** - Each session has independent tool list
- ✅ **Persistent** - Survives across requests
- ✅ **Real database** - Fully implemented with Diesel ORM
---
## 🔍 What Happens Behind the Scenes
1. **ADD_TOOL** → Validates tool exists → Inserts into `session_tool_associations` table
2. **Prompt Processing** → Loads all tools for session → LLM can call them
3. **REMOVE_TOOL** → Deletes association → Tool no longer available
4. **CLEAR_TOOLS** → Removes all associations for session
---
## 📊 Database Table
```sql
CREATE TABLE session_tool_associations (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
added_at TEXT NOT NULL,
UNIQUE(session_id, tool_name)
);
```
---
## 🎯 Use Cases
### Customer Service Bot
```basic
ADD_TOOL ".gbdialog/faq.bas"
ADD_TOOL ".gbdialog/ticket_system.bas"
ADD_TOOL ".gbdialog/escalation.bas"
```
### E-commerce Bot
```basic
ADD_TOOL ".gbdialog/product_search.bas"
ADD_TOOL ".gbdialog/cart_management.bas"
ADD_TOOL ".gbdialog/checkout.bas"
ADD_TOOL ".gbdialog/order_tracking.bas"
```
### HR Bot
```basic
ADD_TOOL ".gbdialog/leave_request.bas"
ADD_TOOL ".gbdialog/payroll_info.bas"
ADD_TOOL ".gbdialog/benefits.bas"
```
---
## ⚠️ Important Notes
- Tool must be compiled and in `basic_tools` table
- Tool must have `is_active = 1`
- Tool must belong to current bot (`bot_id` match)
- Path can be with or without `.gbdialog/` prefix
- Tool names auto-extracted: `enrollment.bas` → `enrollment`
---
## 🐛 Common Errors
### "Tool not available"
- **Cause**: Tool not compiled or inactive
- **Fix**: Compile the `.bas` file first
### "Database connection error"
- **Cause**: Can't acquire DB lock
- **Fix**: Check database health
### "Timeout"
- **Cause**: Operation took >10 seconds
- **Fix**: Check database performance
---
## 💡 Pro Tips
1. **Verify additions**: Use `LIST_TOOLS` after adding tools
2. **Clean up**: Remove unused tools to improve LLM performance
3. **Session-specific**: Tools don't carry over to other sessions
4. **Backward compatible**: Legacy `current_tool` still works
---
## 📚 More Information
See `TOOL_MANAGEMENT.md` for comprehensive documentation including:
- Complete API reference
- Security details
- Performance optimization
- Testing strategies
- Troubleshooting guide
---
## 🔗 Related Files
- **Example Script**: `examples/tool_management_example.bas`
- **Implementation**: `src/basic/keywords/add_tool.rs`
- **Schema**: `migrations/6.0.3.sql`
- **Models**: `src/shared/models.rs`
---
## 📞 Support
For issues or questions:
1. Check the full documentation in `TOOL_MANAGEMENT.md`
2. Review the example script in `examples/`
3. Check database with: `SELECT * FROM session_tool_associations WHERE session_id = 'your-id';`

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REM ============================================================================
REM Enrollment Tool with Knowledge Base Integration
REM ============================================================================
REM This is a complete example of a BASIC tool that:
REM 1. Collects user information through PARAM declarations
REM 2. Validates and stores data
REM 3. Activates a Knowledge Base collection for follow-up questions
REM 4. Demonstrates integration with KB documents
REM ============================================================================
REM Define tool parameters with type, example, and description
PARAM name AS string LIKE "Abreu Silva" DESCRIPTION "Required full name of the individual."
PARAM birthday AS date LIKE "23/09/2001" DESCRIPTION "Required birth date of the individual in DD/MM/YYYY format."
PARAM email AS string LIKE "abreu.silva@example.com" DESCRIPTION "Required email address for contact purposes."
PARAM personalid AS integer LIKE "12345678900" DESCRIPTION "Required Personal ID number of the individual (only numbers)."
PARAM address AS string LIKE "Rua das Flores, 123 - SP" DESCRIPTION "Required full address of the individual."
REM Tool description for MCP/OpenAI tool generation
DESCRIPTION "This is the enrollment process, called when the user wants to enroll. Once all information is collected, confirm the details and inform them that their enrollment request has been successfully submitted. Provide a polite and professional tone throughout the interaction."
REM ============================================================================
REM Validation Logic
REM ============================================================================
REM Validate name (must not be empty and should have at least first and last name)
IF name = "" THEN
TALK "Please provide your full name to continue with the enrollment."
EXIT
END IF
name_parts = SPLIT(name, " ")
IF LEN(name_parts) < 2 THEN
TALK "Please provide your complete name (first and last name)."
EXIT
END IF
REM Validate email format
IF email = "" THEN
TALK "Email address is required for enrollment."
EXIT
END IF
IF NOT CONTAINS(email, "@") OR NOT CONTAINS(email, ".") THEN
TALK "Please provide a valid email address."
EXIT
END IF
REM Validate birthday format (DD/MM/YYYY)
IF birthday = "" THEN
TALK "Please provide your birth date in DD/MM/YYYY format."
EXIT
END IF
REM Validate personal ID (only numbers)
IF personalid = "" THEN
TALK "Personal ID is required for enrollment."
EXIT
END IF
REM Validate address
IF address = "" THEN
TALK "Please provide your complete address."
EXIT
END IF
REM ============================================================================
REM Generate unique enrollment ID
REM ============================================================================
id = UUID()
enrollment_date = NOW()
status = "pending"
REM ============================================================================
REM Save enrollment data to CSV file
REM ============================================================================
SAVE "enrollments.csv", id, name, birthday, email, personalid, address, enrollment_date, status
REM ============================================================================
REM Log enrollment for audit trail
REM ============================================================================
PRINT "Enrollment created:"
PRINT " ID: " + id
PRINT " Name: " + name
PRINT " Email: " + email
PRINT " Date: " + enrollment_date
REM ============================================================================
REM Activate Knowledge Base for enrollment documentation
REM ============================================================================
REM The .gbkb/enrollpdfs folder should contain:
REM - enrollment_guide.pdf
REM - requirements.pdf
REM - faq.pdf
REM - terms_and_conditions.pdf
REM ============================================================================
SET_KB "enrollpdfs"
REM ============================================================================
REM Confirm enrollment to user
REM ============================================================================
confirmation_message = "Thank you, " + name + "! Your enrollment has been successfully submitted.\n\n"
confirmation_message = confirmation_message + "Enrollment ID: " + id + "\n"
confirmation_message = confirmation_message + "Email: " + email + "\n\n"
confirmation_message = confirmation_message + "You will receive a confirmation email shortly with further instructions.\n\n"
confirmation_message = confirmation_message + "I now have access to our enrollment documentation. Feel free to ask me:\n"
confirmation_message = confirmation_message + "- What documents do I need to submit?\n"
confirmation_message = confirmation_message + "- What are the enrollment requirements?\n"
confirmation_message = confirmation_message + "- When will my enrollment be processed?\n"
confirmation_message = confirmation_message + "- What are the next steps?\n"
TALK confirmation_message
REM ============================================================================
REM Set user context for personalized responses
REM ============================================================================
SET USER name, email, id
REM ============================================================================
REM Store enrollment in bot memory for quick access
REM ============================================================================
SET BOT MEMORY "last_enrollment_id", id
SET BOT MEMORY "last_enrollment_name", name
SET BOT MEMORY "last_enrollment_date", enrollment_date
REM ============================================================================
REM Optional: Send confirmation email
REM ============================================================================
REM Uncomment if email feature is enabled
REM email_subject = "Enrollment Confirmation - ID: " + id
REM email_body = "Dear " + name + ",\n\n"
REM email_body = email_body + "Your enrollment has been received and is being processed.\n\n"
REM email_body = email_body + "Enrollment ID: " + id + "\n"
REM email_body = email_body + "Date: " + enrollment_date + "\n\n"
REM email_body = email_body + "You will be notified once your enrollment is approved.\n\n"
REM email_body = email_body + "Best regards,\n"
REM email_body = email_body + "Enrollment Team"
REM
REM SEND EMAIL TO email, email_subject, email_body
REM ============================================================================
REM Return success with enrollment ID
REM ============================================================================
RETURN id

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REM ============================================================================
REM Pricing Tool with Knowledge Base and Website Integration
REM ============================================================================
REM This example demonstrates:
REM 1. Product pricing lookup from CSV database
REM 2. Integration with product brochures KB
REM 3. Dynamic website content indexing
REM 4. Multi-source knowledge retrieval
REM ============================================================================
REM Define tool parameters
PARAM product AS string LIKE "fax" DESCRIPTION "Required name of the product you want to inquire about."
REM Tool description
DESCRIPTION "Whenever someone asks for a price, call this tool and return the price of the specified product name. Also provides access to product documentation and specifications."
REM ============================================================================
REM Validate Input
REM ============================================================================
IF product = "" THEN
TALK "Please specify which product you would like to know the price for."
EXIT
END IF
REM Normalize product name (lowercase for case-insensitive search)
product_normalized = LOWER(TRIM(product))
PRINT "Looking up pricing for product: " + product_normalized
REM ============================================================================
REM Search Product Database
REM ============================================================================
price = -1
stock_status = "unknown"
product_category = ""
product_description = ""
REM Search in products CSV file
productRecord = FIND "products.csv", "LOWER(name) = '" + product_normalized + "'"
IF productRecord THEN
price = productRecord.price
stock_status = productRecord.stock_status
product_category = productRecord.category
product_description = productRecord.description
PRINT "Product found in database:"
PRINT " Name: " + productRecord.name
PRINT " Price: $" + STR(price)
PRINT " Stock: " + stock_status
PRINT " Category: " + product_category
ELSE
REM Product not found in database
PRINT "Product not found in local database: " + product
TALK "I couldn't find the product '" + product + "' in our catalog. Please check the spelling or ask about a different product."
REM Still activate KB in case user wants to browse catalog
ADD_KB "productbrochurespdfsanddocs"
RETURN -1
END IF
REM ============================================================================
REM Add Product Documentation Knowledge Base
REM ============================================================================
REM The .gbkb/productbrochurespdfsanddocs folder should contain:
REM - product_catalog.pdf
REM - technical_specifications.pdf
REM - user_manuals.pdf
REM - warranty_information.pdf
REM - comparison_charts.pdf
REM ============================================================================
ADD_KB "productbrochurespdfsanddocs"
REM ============================================================================
REM Add Product Website for Real-time Information
REM ============================================================================
REM This indexes the product's official page with:
REM - Latest specifications
REM - Customer reviews
REM - Installation guides
REM - Troubleshooting tips
REM ============================================================================
product_url = "https://example.com/products/" + product_normalized
REM Try to add website (will only work if URL is accessible)
REM ADD_WEBSITE product_url
REM Alternative: Add general product documentation page
ADD_WEBSITE "https://example.com/docs/products"
PRINT "Knowledge base activated for: " + product
REM ============================================================================
REM Build Response Message
REM ============================================================================
response_message = "**Product Information: " + productRecord.name + "**\n\n"
response_message = response_message + "💰 **Price:** $" + STR(price) + "\n"
response_message = response_message + "📦 **Availability:** " + stock_status + "\n"
response_message = response_message + "📂 **Category:** " + product_category + "\n\n"
IF product_description <> "" THEN
response_message = response_message + "📝 **Description:**\n" + product_description + "\n\n"
END IF
REM Add stock availability message
IF stock_status = "in_stock" THEN
response_message = response_message + "✅ This product is currently in stock and ready to ship!\n\n"
ELSE IF stock_status = "low_stock" THEN
response_message = response_message + "⚠️ Limited availability - only a few units left in stock.\n\n"
ELSE IF stock_status = "out_of_stock" THEN
response_message = response_message + "❌ Currently out of stock. Expected restock date: contact sales.\n\n"
ELSE IF stock_status = "pre_order" THEN
response_message = response_message + "🔜 Available for pre-order. Ships when available.\n\n"
END IF
REM Inform about available knowledge
response_message = response_message + "📚 **Need More Information?**\n"
response_message = response_message + "I now have access to our complete product documentation. You can ask me:\n\n"
response_message = response_message + "• What are the technical specifications?\n"
response_message = response_message + "• How does it compare to other products?\n"
response_message = response_message + "• What's included in the warranty?\n"
response_message = response_message + "• Are there any setup instructions?\n"
response_message = response_message + "• What do customers say about this product?\n"
TALK response_message
REM ============================================================================
REM Store Product Context in Bot Memory
REM ============================================================================
SET BOT MEMORY "last_product_inquiry", product_normalized
SET BOT MEMORY "last_product_price", STR(price)
SET BOT MEMORY "last_product_category", product_category
SET BOT MEMORY "inquiry_timestamp", NOW()
REM ============================================================================
REM Set User Context for Personalized Follow-up
REM ============================================================================
SET CONTEXT "current_product", product_normalized
SET CONTEXT "current_price", STR(price)
SET CONTEXT "browsing_category", product_category
REM ============================================================================
REM Log Inquiry for Analytics
REM ============================================================================
inquiry_id = UUID()
inquiry_date = NOW()
user_session = SESSION_ID()
SAVE "product_inquiries.csv", inquiry_id, user_session, product_normalized, price, inquiry_date
PRINT "Inquiry logged: " + inquiry_id
REM ============================================================================
REM Check for Related Products
REM ============================================================================
IF product_category <> "" THEN
PRINT "Searching for related products in category: " + product_category
related_products = FIND ALL "products.csv", "category = '" + product_category + "' AND LOWER(name) <> '" + product_normalized + "'"
IF related_products <> NULL AND LEN(related_products) > 0 THEN
related_message = "\n\n**Related Products You Might Like:**\n\n"
counter = 0
FOR EACH related IN related_products
IF counter < 3 THEN
related_message = related_message + "• " + related.name + " - $" + STR(related.price)
IF related.stock_status = "in_stock" THEN
related_message = related_message + " ✅"
END IF
related_message = related_message + "\n"
counter = counter + 1
END IF
NEXT
TALK related_message
END IF
END IF
REM ============================================================================
REM Optional: Check for Promotions
REM ============================================================================
promotion = FIND "promotions.csv", "LOWER(product_name) = '" + product_normalized + "' AND active = true"
IF promotion THEN
promo_message = "\n\n🎉 **Special Offer!**\n"
promo_message = promo_message + promotion.description + "\n"
promo_message = promo_message + "Discount: " + promotion.discount_percentage + "%\n"
promo_message = promo_message + "Valid until: " + promotion.end_date + "\n"
discounted_price = price * (1 - (promotion.discount_percentage / 100))
promo_message = promo_message + "\n**Discounted Price: $" + STR(discounted_price) + "**"
TALK promo_message
SET BOT MEMORY "active_promotion", promotion.code
END IF
REM ============================================================================
REM Return the price for programmatic use
REM ============================================================================
RETURN price

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REM ============================================================================
REM General Bots - Main Start Script
REM ============================================================================
REM This is the main entry point script that:
REM 1. Registers tools as MCP endpoints
REM 2. Activates general knowledge bases
REM 3. Configures the bot's behavior and capabilities
REM 4. Sets up the initial context
REM ============================================================================
REM ============================================================================
REM Bot Configuration
REM ============================================================================
PRINT "=========================================="
PRINT "General Bots - Starting up..."
PRINT "=========================================="
REM Set bot information
SET BOT MEMORY "bot_name", "General Assistant"
SET BOT MEMORY "bot_version", "2.0.0"
SET BOT MEMORY "startup_time", NOW()
REM ============================================================================
REM Register Business Tools as MCP Endpoints
REM ============================================================================
REM These tools become available as HTTP endpoints and can be called
REM by external systems or other bots through the Model Context Protocol
REM ============================================================================
PRINT "Registering business tools..."
REM Enrollment tool - handles user registration
REM Creates endpoint: POST /default/enrollment
ADD_TOOL "enrollment.bas" as MCP
PRINT " ✓ Enrollment tool registered"
REM Pricing tool - provides product information and prices
REM Creates endpoint: POST /default/pricing
ADD_TOOL "pricing.bas" as MCP
PRINT " ✓ Pricing tool registered"
REM Customer support tool - handles support inquiries
REM ADD_TOOL "support.bas" as MCP
REM PRINT " ✓ Support tool registered"
REM Order processing tool
REM ADD_TOOL "order_processing.bas" as MCP
REM PRINT " ✓ Order processing tool registered"
REM ============================================================================
REM Activate General Knowledge Bases
REM ============================================================================
REM These KBs are always available and provide general information
REM Documents in these folders are automatically indexed and searchable
REM ============================================================================
PRINT "Activating knowledge bases..."
REM General company documentation
REM Contains: company policies, procedures, guidelines
ADD_KB "generalmdsandpdfs"
PRINT " ✓ General documentation KB activated"
REM Product catalog and specifications
REM Contains: product brochures, technical specs, comparison charts
ADD_KB "productbrochurespdfsanddocs"
PRINT " ✓ Product catalog KB activated"
REM FAQ and help documentation
REM Contains: frequently asked questions, troubleshooting guides
ADD_KB "faq_and_help"
PRINT " ✓ FAQ and Help KB activated"
REM Training materials
REM Contains: training videos transcripts, tutorials, how-to guides
REM ADD_KB "training_materials"
REM PRINT " ✓ Training materials KB activated"
REM ============================================================================
REM Add External Documentation Sources
REM ============================================================================
REM These websites are crawled and indexed for additional context
REM Useful for keeping up-to-date with external documentation
REM ============================================================================
PRINT "Indexing external documentation..."
REM Company public documentation
REM ADD_WEBSITE "https://docs.generalbots.ai/"
REM PRINT " ✓ General Bots documentation indexed"
REM Product knowledge base
REM ADD_WEBSITE "https://example.com/knowledge-base"
REM PRINT " ✓ Product knowledge base indexed"
REM ============================================================================
REM Set Default Answer Mode
REM ============================================================================
REM Answer Modes:
REM 0 = Direct - Simple LLM responses
REM 1 = WithTools - LLM with tool calling capability
REM 2 = DocumentsOnly - Search KB only, no LLM generation
REM 3 = WebSearch - Include web search in responses
REM 4 = Mixed - Intelligent mix of KB + Tools (RECOMMENDED)
REM ============================================================================
SET CONTEXT "answer_mode", "4"
PRINT "Answer mode set to: Mixed (KB + Tools)"
REM ============================================================================
REM Set Welcome Message
REM ============================================================================
welcome_message = "👋 Hello! I'm your General Assistant.\n\n"
welcome_message = welcome_message + "I can help you with:\n"
welcome_message = welcome_message + "• **Enrollment** - Register new users and manage accounts\n"
welcome_message = welcome_message + "• **Product Information** - Get prices, specifications, and availability\n"
welcome_message = welcome_message + "• **Documentation** - Access our complete knowledge base\n"
welcome_message = welcome_message + "• **General Questions** - Ask me anything about our services\n\n"
welcome_message = welcome_message + "I have access to multiple knowledge bases and can search through:\n"
welcome_message = welcome_message + "📚 Company policies and procedures\n"
welcome_message = welcome_message + "📦 Product catalogs and technical specifications\n"
welcome_message = welcome_message + "❓ FAQs and troubleshooting guides\n\n"
welcome_message = welcome_message + "How can I assist you today?"
SET BOT MEMORY "welcome_message", welcome_message
REM ============================================================================
REM Set Conversation Context
REM ============================================================================
SET CONTEXT "active_tools", "enrollment,pricing"
SET CONTEXT "available_kbs", "generalmdsandpdfs,productbrochurespdfsanddocs,faq_and_help"
SET CONTEXT "capabilities", "enrollment,pricing,documentation,support"
REM ============================================================================
REM Configure Behavior Parameters
REM ============================================================================
REM Response style
SET CONTEXT "response_style", "professional_friendly"
SET CONTEXT "language", "en"
SET CONTEXT "max_context_documents", "5"
REM Knowledge retrieval settings
SET CONTEXT "kb_similarity_threshold", "0.7"
SET CONTEXT "kb_max_results", "3"
REM Tool calling settings
SET CONTEXT "tool_timeout_seconds", "30"
SET CONTEXT "auto_call_tools", "true"
REM ============================================================================
REM Initialize Analytics
REM ============================================================================
session_id = SESSION_ID()
bot_id = BOT_ID()
SAVE "bot_sessions.csv", session_id, bot_id, NOW(), "initialized"
PRINT "Session initialized: " + session_id
REM ============================================================================
REM Set Up Event Handlers
REM ============================================================================
REM These handlers respond to specific events or keywords
REM ============================================================================
REM ON "help" DO
REM TALK welcome_message
REM END ON
REM ON "reset" DO
REM CLEAR CONTEXT
REM TALK "Context cleared. How can I help you?"
REM END ON
REM ON "capabilities" DO
REM caps = "I can help with:\n"
REM caps = caps + "• User enrollment and registration\n"
REM caps = caps + "• Product pricing and information\n"
REM caps = caps + "• Documentation search\n"
REM caps = caps + "• General support questions\n"
REM TALK caps
REM END ON
REM ============================================================================
REM Schedule Periodic Tasks
REM ============================================================================
REM These tasks run automatically at specified intervals
REM ============================================================================
REM Update KB indices every 6 hours
REM SET SCHEDULE "0 */6 * * *" DO
REM PRINT "Refreshing knowledge base indices..."
REM REM Knowledge bases are automatically refreshed by KB Manager
REM END SCHEDULE
REM Generate daily analytics report
REM SET SCHEDULE "0 0 * * *" DO
REM PRINT "Generating daily analytics..."
REM REM Generate report logic here
REM END SCHEDULE
REM ============================================================================
REM Startup Complete
REM ============================================================================
PRINT "=========================================="
PRINT "✓ Startup complete!"
PRINT "✓ Tools registered: enrollment, pricing"
PRINT "✓ Knowledge bases active: 3"
PRINT "✓ Answer mode: Mixed (4)"
PRINT "✓ Session ID: " + session_id
PRINT "=========================================="
REM Display welcome message to user
TALK welcome_message
REM ============================================================================
REM Ready to serve!
REM ============================================================================

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REM Tool Management Example
REM This script demonstrates how to manage multiple tools in a conversation
REM using ADD_TOOL, REMOVE_TOOL, CLEAR_TOOLS, and LIST_TOOLS keywords
REM Step 1: List current tools (should be empty at start)
PRINT "=== Initial Tool Status ==="
LIST_TOOLS
REM Step 2: Add multiple tools to the conversation
PRINT ""
PRINT "=== Adding Tools ==="
ADD_TOOL ".gbdialog/enrollment.bas"
ADD_TOOL ".gbdialog/payment.bas"
ADD_TOOL ".gbdialog/support.bas"
REM Step 3: List all active tools
PRINT ""
PRINT "=== Current Active Tools ==="
LIST_TOOLS
REM Step 4: The LLM can now use all these tools in the conversation
PRINT ""
PRINT "All tools are now available for the AI assistant to use!"
PRINT "The assistant can call any of these tools based on user queries."
REM Step 5: Remove a specific tool
PRINT ""
PRINT "=== Removing Support Tool ==="
REMOVE_TOOL ".gbdialog/support.bas"
REM Step 6: List tools again to confirm removal
PRINT ""
PRINT "=== Tools After Removal ==="
LIST_TOOLS
REM Step 7: Add another tool
PRINT ""
PRINT "=== Adding Analytics Tool ==="
ADD_TOOL ".gbdialog/analytics.bas"
REM Step 8: Show final tool list
PRINT ""
PRINT "=== Final Tool List ==="
LIST_TOOLS
REM Step 9: Clear all tools (optional - uncomment to use)
REM PRINT ""
REM PRINT "=== Clearing All Tools ==="
REM CLEAR_TOOLS
REM LIST_TOOLS
PRINT ""
PRINT "=== Tool Management Complete ==="
PRINT "Tools can be dynamically added/removed during conversation"
PRINT "Each tool remains active only for this session"

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CREATE TABLE public.bots (
id uuid DEFAULT gen_random_uuid() NOT NULL,
"name" varchar(255) NOT NULL,
description text NULL,
llm_provider varchar(100) NOT NULL,
llm_config jsonb DEFAULT '{}'::jsonb NOT NULL,
context_provider varchar(100) NOT NULL,
context_config jsonb DEFAULT '{}'::jsonb NOT NULL,
created_at timestamptz DEFAULT now() NOT NULL,
updated_at timestamptz DEFAULT now() NOT NULL,
is_active bool DEFAULT true NULL,
CONSTRAINT bots_pkey PRIMARY KEY (id)
);
-- public.clicks definition
-- Drop table
-- DROP TABLE public.clicks;
CREATE TABLE public.clicks (
campaign_id text NOT NULL,
email text NOT NULL,
updated_at timestamptz DEFAULT now() NULL,
CONSTRAINT clicks_campaign_id_email_key UNIQUE (campaign_id, email)
);
-- public.organizations definition
-- Drop table
-- DROP TABLE public.organizations;
CREATE TABLE public.organizations (
org_id uuid DEFAULT gen_random_uuid() NOT NULL,
"name" varchar(255) NOT NULL,
slug varchar(255) NOT NULL,
created_at timestamptz DEFAULT now() NOT NULL,
updated_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT organizations_pkey PRIMARY KEY (org_id),
CONSTRAINT organizations_slug_key UNIQUE (slug)
);
CREATE INDEX idx_organizations_created_at ON public.organizations USING btree (created_at);
CREATE INDEX idx_organizations_slug ON public.organizations USING btree (slug);
-- public.system_automations definition
-- Drop table
-- DROP TABLE public.system_automations;
CREATE TABLE public.system_automations (
id uuid DEFAULT gen_random_uuid() NOT NULL,
kind int4 NOT NULL,
"target" varchar(32) NULL,
schedule bpchar(12) NULL,
param varchar(32) NOT NULL,
is_active bool DEFAULT true NOT NULL,
last_triggered timestamptz NULL,
created_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT system_automations_pkey PRIMARY KEY (id)
);
CREATE INDEX idx_system_automations_active ON public.system_automations USING btree (kind) WHERE is_active;
-- public.tools definition
-- Drop table
-- DROP TABLE public.tools;
CREATE TABLE public.tools (
id uuid DEFAULT gen_random_uuid() NOT NULL,
"name" varchar(255) NOT NULL,
description text NOT NULL,
parameters jsonb DEFAULT '{}'::jsonb NOT NULL,
script text NOT NULL,
is_active bool DEFAULT true NULL,
created_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT tools_name_key UNIQUE (name),
CONSTRAINT tools_pkey PRIMARY KEY (id)
);
-- public.users definition
-- Drop table
-- DROP TABLE public.users;
CREATE TABLE public.users (
id uuid DEFAULT gen_random_uuid() NOT NULL,
username varchar(255) NOT NULL,
email varchar(255) NOT NULL,
password_hash varchar(255) NOT NULL,
phone_number varchar(50) NULL,
created_at timestamptz DEFAULT now() NOT NULL,
updated_at timestamptz DEFAULT now() NOT NULL,
is_active bool DEFAULT true NULL,
CONSTRAINT users_email_key UNIQUE (email),
CONSTRAINT users_pkey PRIMARY KEY (id),
CONSTRAINT users_username_key UNIQUE (username)
);
-- public.bot_channels definition
-- Drop table
-- DROP TABLE public.bot_channels;
CREATE TABLE public.bot_channels (
id uuid DEFAULT gen_random_uuid() NOT NULL,
bot_id uuid NOT NULL,
channel_type int4 NOT NULL,
config jsonb DEFAULT '{}'::jsonb NOT NULL,
is_active bool DEFAULT true NULL,
created_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT bot_channels_bot_id_channel_type_key UNIQUE (bot_id, channel_type),
CONSTRAINT bot_channels_pkey PRIMARY KEY (id),
CONSTRAINT bot_channels_bot_id_fkey FOREIGN KEY (bot_id) REFERENCES public.bots(id) ON DELETE CASCADE
);
CREATE INDEX idx_bot_channels_type ON public.bot_channels USING btree (channel_type) WHERE is_active;
-- public.user_sessions definition
-- Drop table
-- DROP TABLE public.user_sessions;
CREATE TABLE public.user_sessions (
id uuid DEFAULT gen_random_uuid() NOT NULL,
user_id uuid NOT NULL,
bot_id uuid NOT NULL,
title varchar(500) DEFAULT 'New Conversation'::character varying NOT NULL,
answer_mode int4 DEFAULT 0 NOT NULL,
context_data jsonb DEFAULT '{}'::jsonb NOT NULL,
current_tool varchar(255) NULL,
message_count int4 DEFAULT 0 NOT NULL,
total_tokens int4 DEFAULT 0 NOT NULL,
created_at timestamptz DEFAULT now() NOT NULL,
updated_at timestamptz DEFAULT now() NOT NULL,
last_activity timestamptz DEFAULT now() NOT NULL,
CONSTRAINT user_sessions_pkey PRIMARY KEY (id),
CONSTRAINT user_sessions_bot_id_fkey FOREIGN KEY (bot_id) REFERENCES public.bots(id) ON DELETE CASCADE,
CONSTRAINT user_sessions_user_id_fkey FOREIGN KEY (user_id) REFERENCES public.users(id) ON DELETE CASCADE
);
CREATE INDEX idx_user_sessions_updated_at ON public.user_sessions USING btree (updated_at);
CREATE INDEX idx_user_sessions_user_bot ON public.user_sessions USING btree (user_id, bot_id);
-- public.whatsapp_numbers definition
-- Drop table
-- DROP TABLE public.whatsapp_numbers;
CREATE TABLE public.whatsapp_numbers (
id uuid DEFAULT gen_random_uuid() NOT NULL,
bot_id uuid NOT NULL,
phone_number varchar(50) NOT NULL,
is_active bool DEFAULT true NULL,
created_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT whatsapp_numbers_phone_number_bot_id_key UNIQUE (phone_number, bot_id),
CONSTRAINT whatsapp_numbers_pkey PRIMARY KEY (id),
CONSTRAINT whatsapp_numbers_bot_id_fkey FOREIGN KEY (bot_id) REFERENCES public.bots(id) ON DELETE CASCADE
);
-- public.context_injections definition
-- Drop table
-- DROP TABLE public.context_injections;
CREATE TABLE public.context_injections (
id uuid DEFAULT gen_random_uuid() NOT NULL,
session_id uuid NOT NULL,
injected_by uuid NOT NULL,
context_data jsonb NOT NULL,
reason text NULL,
created_at timestamptz DEFAULT now() NOT NULL,
CONSTRAINT context_injections_pkey PRIMARY KEY (id),
CONSTRAINT context_injections_injected_by_fkey FOREIGN KEY (injected_by) REFERENCES public.users(id) ON DELETE CASCADE,
CONSTRAINT context_injections_session_id_fkey FOREIGN KEY (session_id) REFERENCES public.user_sessions(id) ON DELETE CASCADE
);
-- public.message_history definition
-- Drop table
-- DROP TABLE public.message_history;
CREATE TABLE public.message_history (
id uuid DEFAULT gen_random_uuid() NOT NULL,
session_id uuid NOT NULL,
user_id uuid NOT NULL,
"role" int4 NOT NULL,
content_encrypted text NOT NULL,
message_type int4 DEFAULT 0 NOT NULL,
media_url text NULL,
token_count int4 DEFAULT 0 NOT NULL,
processing_time_ms int4 NULL,
llm_model varchar(100) NULL,
created_at timestamptz DEFAULT now() NOT NULL,
message_index int4 NOT NULL,
CONSTRAINT message_history_pkey PRIMARY KEY (id),
CONSTRAINT message_history_session_id_fkey FOREIGN KEY (session_id) REFERENCES public.user_sessions(id) ON DELETE CASCADE,
CONSTRAINT message_history_user_id_fkey FOREIGN KEY (user_id) REFERENCES public.users(id) ON DELETE CASCADE
);
CREATE INDEX idx_message_history_created_at ON public.message_history USING btree (created_at);
CREATE INDEX idx_message_history_session_id ON public.message_history USING btree (session_id);
-- public.usage_analytics definition
-- Drop table
-- DROP TABLE public.usage_analytics;
CREATE TABLE public.usage_analytics (
id uuid DEFAULT gen_random_uuid() NOT NULL,
user_id uuid NOT NULL,
bot_id uuid NOT NULL,
session_id uuid NOT NULL,
"date" date DEFAULT CURRENT_DATE NOT NULL,
message_count int4 DEFAULT 0 NOT NULL,
total_tokens int4 DEFAULT 0 NOT NULL,
total_processing_time_ms int4 DEFAULT 0 NOT NULL,
CONSTRAINT usage_analytics_pkey PRIMARY KEY (id),
CONSTRAINT usage_analytics_bot_id_fkey FOREIGN KEY (bot_id) REFERENCES public.bots(id) ON DELETE CASCADE,
CONSTRAINT usage_analytics_session_id_fkey FOREIGN KEY (session_id) REFERENCES public.user_sessions(id) ON DELETE CASCADE,
CONSTRAINT usage_analytics_user_id_fkey FOREIGN KEY (user_id) REFERENCES public.users(id) ON DELETE CASCADE
);
CREATE INDEX idx_usage_analytics_date ON public.usage_analytics USING btree (date);

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CREATE TABLE bot_memories (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
bot_id UUID NOT NULL REFERENCES bots(id) ON DELETE CASCADE,
key TEXT NOT NULL,
value TEXT NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, key)
);
CREATE INDEX idx_bot_memories_bot_id ON bot_memories(bot_id);
CREATE INDEX idx_bot_memories_key ON bot_memories(key);

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-- Migration: Create KB and Tools tables
-- Description: Tables for Knowledge Base management and BASIC tools compilation
-- Table for KB documents metadata
CREATE TABLE IF NOT EXISTS kb_documents (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
bot_id UUID NOT NULL,
collection_name TEXT NOT NULL,
file_path TEXT NOT NULL,
file_size BIGINT NOT NULL DEFAULT 0,
file_hash TEXT NOT NULL,
first_published_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
last_modified_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
indexed_at TIMESTAMPTZ,
metadata JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, collection_name, file_path)
);
-- Index for faster lookups
CREATE INDEX IF NOT EXISTS idx_kb_documents_bot_id ON kb_documents(bot_id);
CREATE INDEX IF NOT EXISTS idx_kb_documents_collection ON kb_documents(collection_name);
CREATE INDEX IF NOT EXISTS idx_kb_documents_hash ON kb_documents(file_hash);
CREATE INDEX IF NOT EXISTS idx_kb_documents_indexed_at ON kb_documents(indexed_at);
-- Table for KB collections
CREATE TABLE IF NOT EXISTS kb_collections (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
bot_id UUID NOT NULL,
name TEXT NOT NULL,
folder_path TEXT NOT NULL,
qdrant_collection TEXT NOT NULL,
document_count INTEGER NOT NULL DEFAULT 0,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, name)
);
-- Index for KB collections
CREATE INDEX IF NOT EXISTS idx_kb_collections_bot_id ON kb_collections(bot_id);
CREATE INDEX IF NOT EXISTS idx_kb_collections_name ON kb_collections(name);
-- Table for compiled BASIC tools
CREATE TABLE IF NOT EXISTS basic_tools (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
bot_id UUID NOT NULL,
tool_name TEXT NOT NULL,
file_path TEXT NOT NULL,
ast_path TEXT NOT NULL,
mcp_json JSONB,
tool_json JSONB,
compiled_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
is_active BOOLEAN NOT NULL DEFAULT true,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, tool_name)
);
-- Index for BASIC tools
CREATE INDEX IF NOT EXISTS idx_basic_tools_bot_id ON basic_tools(bot_id);
CREATE INDEX IF NOT EXISTS idx_basic_tools_name ON basic_tools(tool_name);
CREATE INDEX IF NOT EXISTS idx_basic_tools_active ON basic_tools(is_active);
-- Function to update updated_at timestamp
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
-- Triggers for updating updated_at
DROP TRIGGER IF EXISTS update_kb_documents_updated_at ON kb_documents;
CREATE TRIGGER update_kb_documents_updated_at
BEFORE UPDATE ON kb_documents
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();
DROP TRIGGER IF EXISTS update_kb_collections_updated_at ON kb_collections;
CREATE TRIGGER update_kb_collections_updated_at
BEFORE UPDATE ON kb_collections
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();
DROP TRIGGER IF EXISTS update_basic_tools_updated_at ON basic_tools;
CREATE TRIGGER update_basic_tools_updated_at
BEFORE UPDATE ON basic_tools
FOR EACH ROW
EXECUTE FUNCTION update_updated_at_column();
-- Comments for documentation
COMMENT ON TABLE kb_documents IS 'Stores metadata about documents in Knowledge Base collections';
COMMENT ON TABLE kb_collections IS 'Stores information about KB collections and their Qdrant mappings';
COMMENT ON TABLE basic_tools IS 'Stores compiled BASIC tools with their MCP and OpenAI tool definitions';
COMMENT ON COLUMN kb_documents.file_hash IS 'SHA256 hash of file content for change detection';
COMMENT ON COLUMN kb_documents.indexed_at IS 'Timestamp when document was last indexed in Qdrant';
COMMENT ON COLUMN kb_collections.qdrant_collection IS 'Name of corresponding Qdrant collection';
COMMENT ON COLUMN basic_tools.mcp_json IS 'Model Context Protocol tool definition';
COMMENT ON COLUMN basic_tools.tool_json IS 'OpenAI-compatible tool definition';

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-- Migration 6.0.3: KB and Tools tables (SQLite and Postgres compatible)
-- No triggers, no functions, pure table definitions
-- Table for KB documents metadata
CREATE TABLE IF NOT EXISTS kb_documents (
id TEXT PRIMARY KEY,
bot_id TEXT NOT NULL,
user_id TEXT NOT NULL,
collection_name TEXT NOT NULL,
file_path TEXT NOT NULL,
file_size INTEGER NOT NULL DEFAULT 0,
file_hash TEXT NOT NULL,
first_published_at TEXT NOT NULL,
last_modified_at TEXT NOT NULL,
indexed_at TEXT,
metadata TEXT DEFAULT '{}',
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL,
UNIQUE(bot_id, user_id, collection_name, file_path)
);
CREATE INDEX IF NOT EXISTS idx_kb_documents_bot_id ON kb_documents(bot_id);
CREATE INDEX IF NOT EXISTS idx_kb_documents_user_id ON kb_documents(user_id);
CREATE INDEX IF NOT EXISTS idx_kb_documents_collection ON kb_documents(collection_name);
CREATE INDEX IF NOT EXISTS idx_kb_documents_hash ON kb_documents(file_hash);
CREATE INDEX IF NOT EXISTS idx_kb_documents_indexed_at ON kb_documents(indexed_at);
-- Table for KB collections (per user)
CREATE TABLE IF NOT EXISTS kb_collections (
id TEXT PRIMARY KEY,
bot_id TEXT NOT NULL,
user_id TEXT NOT NULL,
name TEXT NOT NULL,
folder_path TEXT NOT NULL,
qdrant_collection TEXT NOT NULL,
document_count INTEGER NOT NULL DEFAULT 0,
is_active INTEGER NOT NULL DEFAULT 1,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL,
UNIQUE(bot_id, user_id, name)
);
CREATE INDEX IF NOT EXISTS idx_kb_collections_bot_id ON kb_collections(bot_id);
CREATE INDEX IF NOT EXISTS idx_kb_collections_user_id ON kb_collections(user_id);
CREATE INDEX IF NOT EXISTS idx_kb_collections_name ON kb_collections(name);
CREATE INDEX IF NOT EXISTS idx_kb_collections_active ON kb_collections(is_active);
-- Table for compiled BASIC tools
CREATE TABLE IF NOT EXISTS basic_tools (
id TEXT PRIMARY KEY,
bot_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
file_path TEXT NOT NULL,
ast_path TEXT NOT NULL,
file_hash TEXT NOT NULL,
mcp_json TEXT,
tool_json TEXT,
compiled_at TEXT NOT NULL,
is_active INTEGER NOT NULL DEFAULT 1,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL,
UNIQUE(bot_id, tool_name)
);
CREATE INDEX IF NOT EXISTS idx_basic_tools_bot_id ON basic_tools(bot_id);
CREATE INDEX IF NOT EXISTS idx_basic_tools_name ON basic_tools(tool_name);
CREATE INDEX IF NOT EXISTS idx_basic_tools_active ON basic_tools(is_active);
CREATE INDEX IF NOT EXISTS idx_basic_tools_hash ON basic_tools(file_hash);
-- Table for user KB associations (which KBs are active for a user)
CREATE TABLE IF NOT EXISTS user_kb_associations (
id TEXT PRIMARY KEY,
user_id TEXT NOT NULL,
bot_id TEXT NOT NULL,
kb_name TEXT NOT NULL,
is_website INTEGER NOT NULL DEFAULT 0,
website_url TEXT,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL,
UNIQUE(user_id, bot_id, kb_name)
);
CREATE INDEX IF NOT EXISTS idx_user_kb_user_id ON user_kb_associations(user_id);
CREATE INDEX IF NOT EXISTS idx_user_kb_bot_id ON user_kb_associations(bot_id);
CREATE INDEX IF NOT EXISTS idx_user_kb_name ON user_kb_associations(kb_name);
CREATE INDEX IF NOT EXISTS idx_user_kb_website ON user_kb_associations(is_website);
-- Table for session tool associations (which tools are available in a session)
CREATE TABLE IF NOT EXISTS session_tool_associations (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
tool_name TEXT NOT NULL,
added_at TEXT NOT NULL,
UNIQUE(session_id, tool_name)
);
CREATE INDEX IF NOT EXISTS idx_session_tool_session ON session_tool_associations(session_id);
CREATE INDEX IF NOT EXISTS idx_session_tool_name ON session_tool_associations(tool_name);

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-- Migration 6.0.4: Configuration Management System
-- Eliminates .env dependency by storing all configuration in database
-- ============================================================================
-- SERVER CONFIGURATION TABLE
-- Stores server-wide configuration (replaces .env variables)
-- ============================================================================
CREATE TABLE IF NOT EXISTS server_configuration (
id TEXT PRIMARY KEY,
config_key TEXT NOT NULL UNIQUE,
config_value TEXT NOT NULL,
config_type TEXT NOT NULL DEFAULT 'string', -- string, integer, boolean, encrypted
description TEXT,
is_encrypted BOOLEAN NOT NULL DEFAULT false,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_server_config_key ON server_configuration(config_key);
CREATE INDEX IF NOT EXISTS idx_server_config_type ON server_configuration(config_type);
-- ============================================================================
-- TENANT CONFIGURATION TABLE
-- Stores tenant-level configuration (multi-tenancy support)
-- ============================================================================
CREATE TABLE IF NOT EXISTS tenant_configuration (
id TEXT PRIMARY KEY,
tenant_id UUID NOT NULL,
config_key TEXT NOT NULL,
config_value TEXT NOT NULL,
config_type TEXT NOT NULL DEFAULT 'string',
is_encrypted BOOLEAN NOT NULL DEFAULT false,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(tenant_id, config_key)
);
CREATE INDEX IF NOT EXISTS idx_tenant_config_tenant ON tenant_configuration(tenant_id);
CREATE INDEX IF NOT EXISTS idx_tenant_config_key ON tenant_configuration(config_key);
-- ============================================================================
-- BOT CONFIGURATION TABLE
-- Stores bot-specific configuration (replaces bot config JSON)
-- ============================================================================
CREATE TABLE IF NOT EXISTS bot_configuration (
id TEXT PRIMARY KEY,
bot_id UUID NOT NULL,
config_key TEXT NOT NULL,
config_value TEXT NOT NULL,
config_type TEXT NOT NULL DEFAULT 'string',
is_encrypted BOOLEAN NOT NULL DEFAULT false,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, config_key)
);
CREATE INDEX IF NOT EXISTS idx_bot_config_bot ON bot_configuration(bot_id);
CREATE INDEX IF NOT EXISTS idx_bot_config_key ON bot_configuration(config_key);
-- ============================================================================
-- MODEL CONFIGURATIONS TABLE
-- Stores LLM and Embedding model configurations
-- ============================================================================
CREATE TABLE IF NOT EXISTS model_configurations (
id TEXT PRIMARY KEY,
model_name TEXT NOT NULL UNIQUE, -- Friendly name: "deepseek-1.5b", "gpt-oss-20b"
model_type TEXT NOT NULL, -- 'llm' or 'embed'
provider TEXT NOT NULL, -- 'openai', 'groq', 'local', 'ollama', etc.
endpoint TEXT NOT NULL,
api_key TEXT, -- Encrypted
model_id TEXT NOT NULL, -- Actual model identifier
context_window INTEGER,
max_tokens INTEGER,
temperature REAL DEFAULT 0.7,
is_active BOOLEAN NOT NULL DEFAULT true,
is_default BOOLEAN NOT NULL DEFAULT false,
metadata JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_model_config_type ON model_configurations(model_type);
CREATE INDEX IF NOT EXISTS idx_model_config_active ON model_configurations(is_active);
CREATE INDEX IF NOT EXISTS idx_model_config_default ON model_configurations(is_default);
-- ============================================================================
-- CONNECTION CONFIGURATIONS TABLE
-- Stores custom database connections (replaces CUSTOM_* env vars)
-- ============================================================================
CREATE TABLE IF NOT EXISTS connection_configurations (
id TEXT PRIMARY KEY,
bot_id UUID NOT NULL,
connection_name TEXT NOT NULL, -- Used in BASIC: FIND "conn1.table"
connection_type TEXT NOT NULL, -- 'postgres', 'mysql', 'mssql', 'mongodb', etc.
host TEXT NOT NULL,
port INTEGER NOT NULL,
database_name TEXT NOT NULL,
username TEXT NOT NULL,
password TEXT NOT NULL, -- Encrypted
ssl_enabled BOOLEAN NOT NULL DEFAULT false,
additional_params JSONB DEFAULT '{}'::jsonb,
is_active BOOLEAN NOT NULL DEFAULT true,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
UNIQUE(bot_id, connection_name)
);
CREATE INDEX IF NOT EXISTS idx_connection_config_bot ON connection_configurations(bot_id);
CREATE INDEX IF NOT EXISTS idx_connection_config_name ON connection_configurations(connection_name);
CREATE INDEX IF NOT EXISTS idx_connection_config_active ON connection_configurations(is_active);
-- ============================================================================
-- COMPONENT INSTALLATIONS TABLE
-- Tracks installed components (postgres, minio, qdrant, etc.)
-- ============================================================================
CREATE TABLE IF NOT EXISTS component_installations (
id TEXT PRIMARY KEY,
component_name TEXT NOT NULL UNIQUE, -- 'tables', 'drive', 'vectordb', 'cache', 'llm'
component_type TEXT NOT NULL, -- 'database', 'storage', 'vector', 'cache', 'compute'
version TEXT NOT NULL,
install_path TEXT NOT NULL, -- Relative to botserver-stack
binary_path TEXT, -- Path to executable
data_path TEXT, -- Path to data directory
config_path TEXT, -- Path to config file
log_path TEXT, -- Path to log directory
status TEXT NOT NULL DEFAULT 'stopped', -- 'running', 'stopped', 'error', 'installing'
port INTEGER,
pid INTEGER,
auto_start BOOLEAN NOT NULL DEFAULT true,
metadata JSONB DEFAULT '{}'::jsonb,
installed_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
last_started_at TIMESTAMPTZ,
last_stopped_at TIMESTAMPTZ
);
CREATE INDEX IF NOT EXISTS idx_component_name ON component_installations(component_name);
CREATE INDEX IF NOT EXISTS idx_component_status ON component_installations(status);
-- ============================================================================
-- TENANTS TABLE
-- Multi-tenancy support
-- ============================================================================
CREATE TABLE IF NOT EXISTS tenants (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
name TEXT NOT NULL UNIQUE,
slug TEXT NOT NULL UNIQUE,
is_active BOOLEAN NOT NULL DEFAULT true,
metadata JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_tenants_slug ON tenants(slug);
CREATE INDEX IF NOT EXISTS idx_tenants_active ON tenants(is_active);
-- ============================================================================
-- BOT SESSIONS ENHANCEMENT
-- Add tenant_id to existing sessions if column doesn't exist
-- ============================================================================
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'user_sessions' AND column_name = 'tenant_id'
) THEN
ALTER TABLE user_sessions ADD COLUMN tenant_id UUID;
CREATE INDEX idx_user_sessions_tenant ON user_sessions(tenant_id);
END IF;
END $$;
-- ============================================================================
-- BOTS TABLE ENHANCEMENT
-- Add tenant_id if it doesn't exist
-- ============================================================================
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM information_schema.columns
WHERE table_name = 'bots' AND column_name = 'tenant_id'
) THEN
ALTER TABLE bots ADD COLUMN tenant_id UUID;
CREATE INDEX idx_bots_tenant ON bots(tenant_id);
END IF;
END $$;
-- ============================================================================
-- DEFAULT SERVER CONFIGURATION
-- Insert default values that replace .env
-- ============================================================================
INSERT INTO server_configuration (id, config_key, config_value, config_type, description) VALUES
(gen_random_uuid()::text, 'SERVER_HOST', '127.0.0.1', 'string', 'Server bind address'),
(gen_random_uuid()::text, 'SERVER_PORT', '8080', 'integer', 'Server port'),
(gen_random_uuid()::text, 'TABLES_SERVER', 'localhost', 'string', 'PostgreSQL server address'),
(gen_random_uuid()::text, 'TABLES_PORT', '5432', 'integer', 'PostgreSQL port'),
(gen_random_uuid()::text, 'TABLES_DATABASE', 'botserver', 'string', 'PostgreSQL database name'),
(gen_random_uuid()::text, 'TABLES_USERNAME', 'botserver', 'string', 'PostgreSQL username'),
(gen_random_uuid()::text, 'DRIVE_SERVER', 'localhost:9000', 'string', 'MinIO server address'),
(gen_random_uuid()::text, 'DRIVE_USE_SSL', 'false', 'boolean', 'Use SSL for drive'),
(gen_random_uuid()::text, 'DRIVE_ORG_PREFIX', 'botserver', 'string', 'Drive organization prefix'),
(gen_random_uuid()::text, 'DRIVE_BUCKET', 'default', 'string', 'Default S3 bucket'),
(gen_random_uuid()::text, 'VECTORDB_URL', 'http://localhost:6333', 'string', 'Qdrant vector database URL'),
(gen_random_uuid()::text, 'CACHE_URL', 'redis://localhost:6379', 'string', 'Redis cache URL'),
(gen_random_uuid()::text, 'STACK_PATH', './botserver-stack', 'string', 'Base path for all components'),
(gen_random_uuid()::text, 'SITES_ROOT', './botserver-stack/sites', 'string', 'Root path for sites')
ON CONFLICT (config_key) DO NOTHING;
-- ============================================================================
-- DEFAULT TENANT
-- Create default tenant for single-tenant installations
-- ============================================================================
INSERT INTO tenants (id, name, slug, is_active) VALUES
(gen_random_uuid(), 'Default Tenant', 'default', true)
ON CONFLICT (slug) DO NOTHING;
-- ============================================================================
-- DEFAULT MODELS
-- Add some default model configurations
-- ============================================================================
INSERT INTO model_configurations (id, model_name, model_type, provider, endpoint, model_id, context_window, max_tokens, is_default) VALUES
(gen_random_uuid()::text, 'gpt-4', 'llm', 'openai', 'https://api.openai.com/v1', 'gpt-4', 8192, 4096, true),
(gen_random_uuid()::text, 'gpt-3.5-turbo', 'llm', 'openai', 'https://api.openai.com/v1', 'gpt-3.5-turbo', 4096, 2048, false),
(gen_random_uuid()::text, 'bge-large', 'embed', 'local', 'http://localhost:8081', 'BAAI/bge-large-en-v1.5', 512, 1024, true)
ON CONFLICT (model_name) DO NOTHING;
-- ============================================================================
-- COMPONENT LOGGING TABLE
-- Track component lifecycle events
-- ============================================================================
CREATE TABLE IF NOT EXISTS component_logs (
id TEXT PRIMARY KEY,
component_name TEXT NOT NULL,
log_level TEXT NOT NULL, -- 'info', 'warning', 'error', 'debug'
message TEXT NOT NULL,
details JSONB DEFAULT '{}'::jsonb,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_component_logs_component ON component_logs(component_name);
CREATE INDEX IF NOT EXISTS idx_component_logs_level ON component_logs(log_level);
CREATE INDEX IF NOT EXISTS idx_component_logs_created ON component_logs(created_at);
-- ============================================================================
-- GBOT CONFIG SYNC TABLE
-- Tracks .gbot/config.csv file changes and last sync
-- ============================================================================
CREATE TABLE IF NOT EXISTS gbot_config_sync (
id TEXT PRIMARY KEY,
bot_id UUID NOT NULL UNIQUE,
config_file_path TEXT NOT NULL,
last_sync_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
file_hash TEXT NOT NULL,
sync_count INTEGER NOT NULL DEFAULT 0
);
CREATE INDEX IF NOT EXISTS idx_gbot_sync_bot ON gbot_config_sync(bot_id);
-- ============================================================================
-- VIEWS FOR EASY QUERYING
-- ============================================================================
-- View: All active components
CREATE OR REPLACE VIEW v_active_components AS
SELECT
component_name,
component_type,
version,
status,
port,
installed_at,
last_started_at
FROM component_installations
WHERE status = 'running'
ORDER BY component_name;
-- View: Bot with all configurations
CREATE OR REPLACE VIEW v_bot_full_config AS
SELECT
b.bot_id,
b.name as bot_name,
b.status,
t.name as tenant_name,
t.slug as tenant_slug,
bc.config_key,
bc.config_value,
bc.config_type,
bc.is_encrypted
FROM bots b
LEFT JOIN tenants t ON b.tenant_id = t.id
LEFT JOIN bot_configuration bc ON b.bot_id = bc.bot_id
ORDER BY b.bot_id, bc.config_key;
-- View: Active models by type
CREATE OR REPLACE VIEW v_active_models AS
SELECT
model_name,
model_type,
provider,
endpoint,
is_default,
context_window,
max_tokens
FROM model_configurations
WHERE is_active = true
ORDER BY model_type, is_default DESC, model_name;
-- ============================================================================
-- FUNCTIONS
-- ============================================================================
-- Function to get configuration value with fallback
CREATE OR REPLACE FUNCTION get_config(
p_key TEXT,
p_fallback TEXT DEFAULT NULL
) RETURNS TEXT AS $$
DECLARE
v_value TEXT;
BEGIN
SELECT config_value INTO v_value
FROM server_configuration
WHERE config_key = p_key;
RETURN COALESCE(v_value, p_fallback);
END;
$$ LANGUAGE plpgsql;
-- Function to set configuration value
CREATE OR REPLACE FUNCTION set_config(
p_key TEXT,
p_value TEXT,
p_type TEXT DEFAULT 'string',
p_encrypted BOOLEAN DEFAULT false
) RETURNS VOID AS $$
BEGIN
INSERT INTO server_configuration (id, config_key, config_value, config_type, is_encrypted, updated_at)
VALUES (gen_random_uuid()::text, p_key, p_value, p_type, p_encrypted, NOW())
ON CONFLICT (config_key)
DO UPDATE SET
config_value = EXCLUDED.config_value,
config_type = EXCLUDED.config_type,
is_encrypted = EXCLUDED.is_encrypted,
updated_at = NOW();
END;
$$ LANGUAGE plpgsql;
-- ============================================================================
-- TRIGGERS
-- ============================================================================
-- Trigger to update updated_at timestamp
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE TRIGGER update_server_config_updated_at BEFORE UPDATE ON server_configuration
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
CREATE TRIGGER update_tenant_config_updated_at BEFORE UPDATE ON tenant_configuration
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
CREATE TRIGGER update_bot_config_updated_at BEFORE UPDATE ON bot_configuration
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
CREATE TRIGGER update_model_config_updated_at BEFORE UPDATE ON model_configurations
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
CREATE TRIGGER update_connection_config_updated_at BEFORE UPDATE ON connection_configurations
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
-- ============================================================================
-- COMMENTS
-- ============================================================================
COMMENT ON TABLE server_configuration IS 'Server-wide configuration replacing .env variables';
COMMENT ON TABLE tenant_configuration IS 'Tenant-level configuration for multi-tenancy';
COMMENT ON TABLE bot_configuration IS 'Bot-specific configuration';
COMMENT ON TABLE model_configurations IS 'LLM and embedding model configurations';
COMMENT ON TABLE connection_configurations IS 'Custom database connections for bots';
COMMENT ON TABLE component_installations IS 'Installed component tracking and management';
COMMENT ON TABLE tenants IS 'Tenant management for multi-tenancy';
COMMENT ON TABLE component_logs IS 'Component lifecycle and operation logs';
COMMENT ON TABLE gbot_config_sync IS 'Tracks .gbot/config.csv file synchronization';
-- Migration complete

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use crate::shared::state::AppState;
use log::{debug, info, warn};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::error::Error;
use std::fs;
use std::path::Path;
use std::sync::Arc;
pub mod tool_generator;
/// Represents a PARAM declaration in BASIC
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParamDeclaration {
pub name: String,
pub param_type: String,
pub example: Option<String>,
pub description: String,
pub required: bool,
}
/// Represents a BASIC tool definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolDefinition {
pub name: String,
pub description: String,
pub parameters: Vec<ParamDeclaration>,
pub source_file: String,
}
/// MCP tool format (Model Context Protocol)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPTool {
pub name: String,
pub description: String,
pub input_schema: MCPInputSchema,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPInputSchema {
#[serde(rename = "type")]
pub schema_type: String,
pub properties: HashMap<String, MCPProperty>,
pub required: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPProperty {
#[serde(rename = "type")]
pub prop_type: String,
pub description: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub example: Option<String>,
}
/// OpenAI tool format
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAITool {
#[serde(rename = "type")]
pub tool_type: String,
pub function: OpenAIFunction,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIFunction {
pub name: String,
pub description: String,
pub parameters: OpenAIParameters,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIParameters {
#[serde(rename = "type")]
pub param_type: String,
pub properties: HashMap<String, OpenAIProperty>,
pub required: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIProperty {
#[serde(rename = "type")]
pub prop_type: String,
pub description: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub example: Option<String>,
}
/// BASIC Compiler
pub struct BasicCompiler {
state: Arc<AppState>,
}
impl BasicCompiler {
pub fn new(state: Arc<AppState>) -> Self {
Self { state }
}
/// Compile a BASIC file to AST and generate tool definitions
pub fn compile_file(
&self,
source_path: &str,
output_dir: &str,
) -> Result<CompilationResult, Box<dyn Error + Send + Sync>> {
info!("Compiling BASIC file: {}", source_path);
// Read source file
let source_content = fs::read_to_string(source_path)
.map_err(|e| format!("Failed to read source file: {}", e))?;
// Parse tool definition from source
let tool_def = self.parse_tool_definition(&source_content, source_path)?;
// Extract base name without extension
let file_name = Path::new(source_path)
.file_stem()
.and_then(|s| s.to_str())
.ok_or("Invalid file name")?;
// Generate AST path
let ast_path = format!("{}/{}.ast", output_dir, file_name);
// Generate AST (using Rhai compilation would happen here)
// For now, we'll store the preprocessed script
let ast_content = self.preprocess_basic(&source_content)?;
fs::write(&ast_path, &ast_content)
.map_err(|e| format!("Failed to write AST file: {}", e))?;
info!("AST generated: {}", ast_path);
// Generate tool definitions if PARAM and DESCRIPTION found
let (mcp_json, tool_json) = if !tool_def.parameters.is_empty() {
let mcp = self.generate_mcp_tool(&tool_def)?;
let openai = self.generate_openai_tool(&tool_def)?;
let mcp_path = format!("{}/{}.mcp.json", output_dir, file_name);
let tool_path = format!("{}/{}.tool.json", output_dir, file_name);
// Write MCP JSON
let mcp_json_str = serde_json::to_string_pretty(&mcp)?;
fs::write(&mcp_path, mcp_json_str)
.map_err(|e| format!("Failed to write MCP JSON: {}", e))?;
// Write OpenAI tool JSON
let tool_json_str = serde_json::to_string_pretty(&openai)?;
fs::write(&tool_path, tool_json_str)
.map_err(|e| format!("Failed to write tool JSON: {}", e))?;
info!("Tool definitions generated: {} and {}", mcp_path, tool_path);
(Some(mcp), Some(openai))
} else {
debug!("No tool parameters found in {}", source_path);
(None, None)
};
Ok(CompilationResult {
ast_path,
mcp_tool: mcp_json,
openai_tool: tool_json,
tool_definition: Some(tool_def),
})
}
/// Parse tool definition from BASIC source
fn parse_tool_definition(
&self,
source: &str,
source_path: &str,
) -> Result<ToolDefinition, Box<dyn Error + Send + Sync>> {
let mut params = Vec::new();
let mut description = String::new();
let lines: Vec<&str> = source.lines().collect();
let mut i = 0;
while i < lines.len() {
let line = lines[i].trim();
// Parse PARAM declarations
if line.starts_with("PARAM ") {
if let Some(param) = self.parse_param_line(line)? {
params.push(param);
}
}
// Parse DESCRIPTION
if line.starts_with("DESCRIPTION ") {
let desc_start = line.find('"').unwrap_or(0);
let desc_end = line.rfind('"').unwrap_or(line.len());
if desc_start < desc_end {
description = line[desc_start + 1..desc_end].to_string();
}
}
i += 1;
}
let tool_name = Path::new(source_path)
.file_stem()
.and_then(|s| s.to_str())
.unwrap_or("unknown")
.to_string();
Ok(ToolDefinition {
name: tool_name,
description,
parameters: params,
source_file: source_path.to_string(),
})
}
/// Parse a PARAM line
/// Format: PARAM name AS type LIKE "example" DESCRIPTION "description"
fn parse_param_line(
&self,
line: &str,
) -> Result<Option<ParamDeclaration>, Box<dyn Error + Send + Sync>> {
let line = line.trim();
if !line.starts_with("PARAM ") {
return Ok(None);
}
// Extract parts
let parts: Vec<&str> = line.split_whitespace().collect();
if parts.len() < 4 {
warn!("Invalid PARAM line: {}", line);
return Ok(None);
}
let name = parts[1].to_string();
// Find AS keyword
let as_index = parts.iter().position(|&p| p == "AS");
let param_type = if let Some(idx) = as_index {
if idx + 1 < parts.len() {
parts[idx + 1].to_lowercase()
} else {
"string".to_string()
}
} else {
"string".to_string()
};
// Extract LIKE value (example)
let example = if let Some(like_pos) = line.find("LIKE") {
let rest = &line[like_pos + 4..].trim();
if let Some(start) = rest.find('"') {
if let Some(end) = rest[start + 1..].find('"') {
Some(rest[start + 1..start + 1 + end].to_string())
} else {
None
}
} else {
None
}
} else {
None
};
// Extract DESCRIPTION
let description = if let Some(desc_pos) = line.find("DESCRIPTION") {
let rest = &line[desc_pos + 11..].trim();
if let Some(start) = rest.find('"') {
if let Some(end) = rest[start + 1..].rfind('"') {
rest[start + 1..start + 1 + end].to_string()
} else {
"".to_string()
}
} else {
"".to_string()
}
} else {
"".to_string()
};
Ok(Some(ParamDeclaration {
name,
param_type: self.normalize_type(&param_type),
example,
description,
required: true, // Default to required
}))
}
/// Normalize BASIC types to JSON schema types
fn normalize_type(&self, basic_type: &str) -> String {
match basic_type.to_lowercase().as_str() {
"string" | "text" => "string".to_string(),
"integer" | "int" | "number" => "integer".to_string(),
"float" | "double" | "decimal" => "number".to_string(),
"boolean" | "bool" => "boolean".to_string(),
"date" | "datetime" => "string".to_string(), // Dates as strings
"array" | "list" => "array".to_string(),
"object" | "map" => "object".to_string(),
_ => "string".to_string(), // Default to string
}
}
/// Generate MCP tool format
fn generate_mcp_tool(
&self,
tool_def: &ToolDefinition,
) -> Result<MCPTool, Box<dyn Error + Send + Sync>> {
let mut properties = HashMap::new();
let mut required = Vec::new();
for param in &tool_def.parameters {
properties.insert(
param.name.clone(),
MCPProperty {
prop_type: param.param_type.clone(),
description: param.description.clone(),
example: param.example.clone(),
},
);
if param.required {
required.push(param.name.clone());
}
}
Ok(MCPTool {
name: tool_def.name.clone(),
description: tool_def.description.clone(),
input_schema: MCPInputSchema {
schema_type: "object".to_string(),
properties,
required,
},
})
}
/// Generate OpenAI tool format
fn generate_openai_tool(
&self,
tool_def: &ToolDefinition,
) -> Result<OpenAITool, Box<dyn Error + Send + Sync>> {
let mut properties = HashMap::new();
let mut required = Vec::new();
for param in &tool_def.parameters {
properties.insert(
param.name.clone(),
OpenAIProperty {
prop_type: param.param_type.clone(),
description: param.description.clone(),
example: param.example.clone(),
},
);
if param.required {
required.push(param.name.clone());
}
}
Ok(OpenAITool {
tool_type: "function".to_string(),
function: OpenAIFunction {
name: tool_def.name.clone(),
description: tool_def.description.clone(),
parameters: OpenAIParameters {
param_type: "object".to_string(),
properties,
required,
},
},
})
}
/// Preprocess BASIC script (basic transformations)
fn preprocess_basic(&self, source: &str) -> Result<String, Box<dyn Error + Send + Sync>> {
let mut result = String::new();
for line in source.lines() {
let trimmed = line.trim();
// Skip empty lines and comments
if trimmed.is_empty() || trimmed.starts_with("//") || trimmed.starts_with("REM") {
continue;
}
// Skip PARAM and DESCRIPTION lines (metadata)
if trimmed.starts_with("PARAM ") || trimmed.starts_with("DESCRIPTION ") {
continue;
}
result.push_str(trimmed);
result.push('\n');
}
Ok(result)
}
}
/// Result of compilation
#[derive(Debug)]
pub struct CompilationResult {
pub ast_path: String,
pub mcp_tool: Option<MCPTool>,
pub openai_tool: Option<OpenAITool>,
pub tool_definition: Option<ToolDefinition>,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_normalize_type() {
let compiler = BasicCompiler::new(Arc::new(AppState::default()));
assert_eq!(compiler.normalize_type("string"), "string");
assert_eq!(compiler.normalize_type("integer"), "integer");
assert_eq!(compiler.normalize_type("int"), "integer");
assert_eq!(compiler.normalize_type("boolean"), "boolean");
assert_eq!(compiler.normalize_type("date"), "string");
}
#[test]
fn test_parse_param_line() {
let compiler = BasicCompiler::new(Arc::new(AppState::default()));
let line = r#"PARAM name AS string LIKE "John Doe" DESCRIPTION "User's full name""#;
let result = compiler.parse_param_line(line).unwrap();
assert!(result.is_some());
let param = result.unwrap();
assert_eq!(param.name, "name");
assert_eq!(param.param_type, "string");
assert_eq!(param.example, Some("John Doe".to_string()));
assert_eq!(param.description, "User's full name");
}
}

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use serde::{Deserialize, Serialize};
use std::error::Error;
/// Generate API endpoint handler code for a tool
pub fn generate_endpoint_handler(
tool_name: &str,
parameters: &[crate::basic::compiler::ParamDeclaration],
) -> Result<String, Box<dyn Error + Send + Sync>> {
let mut handler_code = String::new();
// Generate function signature
handler_code.push_str(&format!(
"// Auto-generated endpoint handler for tool: {}\n",
tool_name
));
handler_code.push_str(&format!(
"pub async fn {}_handler(\n",
tool_name.to_lowercase()
));
handler_code.push_str(" state: web::Data<Arc<AppState>>,\n");
handler_code.push_str(&format!(
" req: web::Json<{}Request>,\n",
to_pascal_case(tool_name)
));
handler_code.push_str(&format!(") -> Result<HttpResponse, actix_web::Error> {{\n"));
// Generate handler body
handler_code.push_str(" // Validate input parameters\n");
for param in parameters {
if param.required {
handler_code.push_str(&format!(
" if req.{}.is_empty() {{\n",
param.name.to_lowercase()
));
handler_code.push_str(&format!(
" return Ok(HttpResponse::BadRequest().json(json!({{\"error\": \"Missing required parameter: {}\"}})));\n",
param.name
));
handler_code.push_str(" }\n");
}
}
handler_code.push_str("\n // Execute BASIC script\n");
handler_code.push_str(&format!(
" let script_path = \"./work/default.gbai/default.gbdialog/{}.ast\";\n",
tool_name
));
handler_code.push_str(" // TODO: Load and execute AST\n");
handler_code.push_str("\n Ok(HttpResponse::Ok().json(json!({\"status\": \"success\"})))\n");
handler_code.push_str("}\n\n");
// Generate request structure
handler_code.push_str(&generate_request_struct(tool_name, parameters)?);
Ok(handler_code)
}
/// Generate request struct for tool
fn generate_request_struct(
tool_name: &str,
parameters: &[crate::basic::compiler::ParamDeclaration],
) -> Result<String, Box<dyn Error + Send + Sync>> {
let mut struct_code = String::new();
struct_code.push_str(&format!(
"#[derive(Debug, Clone, Serialize, Deserialize)]\n"
));
struct_code.push_str(&format!(
"pub struct {}Request {{\n",
to_pascal_case(tool_name)
));
for param in parameters {
let rust_type = param_type_to_rust_type(&param.param_type);
if param.required {
struct_code.push_str(&format!(
" pub {}: {},\n",
param.name.to_lowercase(),
rust_type
));
} else {
struct_code.push_str(&format!(
" #[serde(skip_serializing_if = \"Option::is_none\")]\n"
));
struct_code.push_str(&format!(
" pub {}: Option<{}>,\n",
param.name.to_lowercase(),
rust_type
));
}
}
struct_code.push_str("}\n");
Ok(struct_code)
}
/// Convert parameter type to Rust type
fn param_type_to_rust_type(param_type: &str) -> String {
match param_type {
"string" => "String".to_string(),
"integer" => "i64".to_string(),
"number" => "f64".to_string(),
"boolean" => "bool".to_string(),
"array" => "Vec<serde_json::Value>".to_string(),
"object" => "serde_json::Value".to_string(),
_ => "String".to_string(),
}
}
/// Convert snake_case to PascalCase
fn to_pascal_case(s: &str) -> String {
s.split('_')
.map(|word| {
let mut chars = word.chars();
match chars.next() {
None => String::new(),
Some(first) => first.to_uppercase().collect::<String>() + chars.as_str(),
}
})
.collect()
}
/// Generate route registration code
pub fn generate_route_registration(tool_name: &str) -> String {
format!(
" .service(web::resource(\"/default/{}\").route(web::post().to({}_handler)))\n",
tool_name,
tool_name.to_lowercase()
)
}
/// Tool metadata for MCP server
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPServerInfo {
pub name: String,
pub version: String,
pub tools: Vec<MCPToolInfo>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPToolInfo {
pub name: String,
pub description: String,
pub endpoint: String,
}
/// Generate MCP server manifest
pub fn generate_mcp_server_manifest(
tools: Vec<MCPToolInfo>,
) -> Result<String, Box<dyn Error + Send + Sync>> {
let manifest = MCPServerInfo {
name: "GeneralBots BASIC MCP Server".to_string(),
version: "1.0.0".to_string(),
tools,
};
let json = serde_json::to_string_pretty(&manifest)?;
Ok(json)
}
#[cfg(test)]
mod tests {
use super::*;
use crate::basic::compiler::ParamDeclaration;
#[test]
fn test_to_pascal_case() {
assert_eq!(to_pascal_case("enrollment"), "Enrollment");
assert_eq!(to_pascal_case("pricing_tool"), "PricingTool");
assert_eq!(to_pascal_case("get_user_data"), "GetUserData");
}
#[test]
fn test_param_type_to_rust_type() {
assert_eq!(param_type_to_rust_type("string"), "String");
assert_eq!(param_type_to_rust_type("integer"), "i64");
assert_eq!(param_type_to_rust_type("number"), "f64");
assert_eq!(param_type_to_rust_type("boolean"), "bool");
assert_eq!(param_type_to_rust_type("array"), "Vec<serde_json::Value>");
}
#[test]
fn test_generate_request_struct() {
let params = vec![
ParamDeclaration {
name: "name".to_string(),
param_type: "string".to_string(),
example: Some("John Doe".to_string()),
description: "User name".to_string(),
required: true,
},
ParamDeclaration {
name: "age".to_string(),
param_type: "integer".to_string(),
example: Some("25".to_string()),
description: "User age".to_string(),
required: false,
},
];
let result = generate_request_struct("test_tool", &params).unwrap();
assert!(result.contains("pub struct TestToolRequest"));
assert!(result.contains("pub name: String"));
assert!(result.contains("pub age: Option<i64>"));
}
#[test]
fn test_generate_route_registration() {
let route = generate_route_registration("enrollment");
assert!(route.contains("/default/enrollment"));
assert!(route.contains("enrollment_handler"));
}
}

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use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use diesel::prelude::*;
use log::{error, info, warn};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
use uuid::Uuid;
pub fn add_tool_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["ADD_TOOL", "$expr$"], false, move |context, inputs| {
let tool_path = context.eval_expression_tree(&inputs[0])?;
let tool_path_str = tool_path.to_string().trim_matches('"').to_string();
info!(
"ADD_TOOL command executed: {} for session: {}",
tool_path_str, user_clone.id
);
// Extract tool name from path (e.g., "enrollment.bas" -> "enrollment")
let tool_name = tool_path_str
.strip_prefix(".gbdialog/")
.unwrap_or(&tool_path_str)
.strip_suffix(".bas")
.unwrap_or(&tool_path_str)
.to_string();
// Validate tool name
if tool_name.is_empty() {
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"Invalid tool name".into(),
rhai::Position::NONE,
)));
}
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
let tool_name_for_task = tool_name.clone();
// Spawn async task to associate tool with session
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
associate_tool_with_session(
&state_for_task,
&user_for_task,
&tool_name_for_task,
)
.await
});
tx.send(result).err()
} else {
tx.send(Err("Failed to build tokio runtime".to_string()))
.err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(10)) {
Ok(Ok(message)) => {
info!("ADD_TOOL completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"ADD_TOOL timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("ADD_TOOL failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// Associate a compiled tool with the current session
/// The tool must already be compiled and present in the basic_tools table
async fn associate_tool_with_session(
state: &AppState,
user: &UserSession,
tool_name: &str,
) -> Result<String, String> {
use crate::shared::models::schema::{basic_tools, session_tool_associations};
let mut conn = state.conn.lock().map_err(|e| {
error!("Failed to acquire database lock: {}", e);
format!("Database connection error: {}", e)
})?;
// First, verify the tool exists and is active for this bot
let tool_exists: Result<bool, diesel::result::Error> = basic_tools::table
.filter(basic_tools::bot_id.eq(user.bot_id.to_string()))
.filter(basic_tools::tool_name.eq(tool_name))
.filter(basic_tools::is_active.eq(1))
.select(diesel::dsl::count(basic_tools::id))
.first::<i64>(&mut *conn)
.map(|count| count > 0);
match tool_exists {
Ok(true) => {
info!(
"Tool '{}' exists and is active for bot '{}'",
tool_name, user.bot_id
);
}
Ok(false) => {
warn!(
"Tool '{}' does not exist or is not active for bot '{}'",
tool_name, user.bot_id
);
return Err(format!(
"Tool '{}' is not available. Make sure the tool file is compiled and active.",
tool_name
));
}
Err(e) => {
error!("Failed to check tool existence: {}", e);
return Err(format!("Database error while checking tool: {}", e));
}
}
// Generate a unique ID for the association
let association_id = Uuid::new_v4().to_string();
let session_id_str = user.id.to_string();
let added_at = chrono::Utc::now().to_rfc3339();
// Insert the tool association (ignore if already exists due to UNIQUE constraint)
let insert_result: Result<usize, diesel::result::Error> =
diesel::insert_into(session_tool_associations::table)
.values((
session_tool_associations::id.eq(&association_id),
session_tool_associations::session_id.eq(&session_id_str),
session_tool_associations::tool_name.eq(tool_name),
session_tool_associations::added_at.eq(&added_at),
))
.on_conflict((
session_tool_associations::session_id,
session_tool_associations::tool_name,
))
.do_nothing()
.execute(&mut *conn);
match insert_result {
Ok(rows_affected) => {
if rows_affected > 0 {
info!(
"Tool '{}' newly associated with session '{}' (user: {}, bot: {})",
tool_name, user.id, user.user_id, user.bot_id
);
Ok(format!(
"Tool '{}' is now available in this conversation",
tool_name
))
} else {
info!(
"Tool '{}' was already associated with session '{}'",
tool_name, user.id
);
Ok(format!(
"Tool '{}' is already available in this conversation",
tool_name
))
}
}
Err(e) => {
error!(
"Failed to associate tool '{}' with session '{}': {}",
tool_name, user.id, e
);
Err(format!("Failed to add tool to session: {}", e))
}
}
}
/// Get all tools associated with a session
pub fn get_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<Vec<String>, diesel::result::Error> {
use crate::shared::models::schema::session_tool_associations;
let session_id_str = session_id.to_string();
session_tool_associations::table
.filter(session_tool_associations::session_id.eq(&session_id_str))
.select(session_tool_associations::tool_name)
.load::<String>(conn)
}
/// Remove a tool association from a session
pub fn remove_session_tool(
conn: &mut PgConnection,
session_id: &Uuid,
tool_name: &str,
) -> Result<usize, diesel::result::Error> {
use crate::shared::models::schema::session_tool_associations;
let session_id_str = session_id.to_string();
diesel::delete(
session_tool_associations::table
.filter(session_tool_associations::session_id.eq(&session_id_str))
.filter(session_tool_associations::tool_name.eq(tool_name)),
)
.execute(conn)
}
/// Clear all tool associations for a session
pub fn clear_session_tools(
conn: &mut PgConnection,
session_id: &Uuid,
) -> Result<usize, diesel::result::Error> {
use crate::shared::models::schema::session_tool_associations;
let session_id_str = session_id.to_string();
diesel::delete(
session_tool_associations::table
.filter(session_tool_associations::session_id.eq(&session_id_str)),
)
.execute(conn)
}

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use crate::shared::models::UserSession;
use crate::shared::state::AppState;
#[cfg(feature = "web_automation")]
use crate::web_automation::WebCrawler;
use log::{error, info};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
pub fn add_website_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["ADD_WEBSITE", "$expr$"], false, move |context, inputs| {
let url = context.eval_expression_tree(&inputs[0])?;
let url_str = url.to_string().trim_matches('"').to_string();
info!(
"ADD_WEBSITE command executed: {} for user: {}",
url_str, user_clone.user_id
);
// Validate URL
#[cfg(feature = "web_automation")]
let is_valid = WebCrawler::is_valid_url(&url_str);
#[cfg(not(feature = "web_automation"))]
let is_valid = url_str.starts_with("http://") || url_str.starts_with("https://");
if !is_valid {
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"Invalid URL format. Must start with http:// or https://".into(),
rhai::Position::NONE,
)));
}
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
let url_for_task = url_str.clone();
// Spawn async task to crawl and index website
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
crawl_and_index_website(&state_for_task, &user_for_task, &url_for_task)
.await
});
tx.send(result).err()
} else {
tx.send(Err("Failed to build tokio runtime".to_string()))
.err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(120)) {
Ok(Ok(message)) => {
info!("ADD_WEBSITE completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"ADD_WEBSITE timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("ADD_WEBSITE failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// Crawl website and index content
async fn crawl_and_index_website(
_state: &AppState,
user: &UserSession,
url: &str,
) -> Result<String, String> {
info!("Crawling website: {} for user: {}", url, user.user_id);
// Check if web_automation feature is enabled
#[cfg(not(feature = "web_automation"))]
{
return Err(
"Web automation feature not enabled. Recompile with --features web_automation"
.to_string(),
);
}
// Fetch website content (only compiled if feature enabled)
#[cfg(feature = "web_automation")]
{
let crawler = WebCrawler::new();
let text_content = crawler
.crawl(url)
.await
.map_err(|e| format!("Failed to crawl website: {}", e))?;
if text_content.trim().is_empty() {
return Err("No text content found on website".to_string());
}
info!(
"Extracted {} characters of text from website",
text_content.len()
);
// Create KB name from URL
let kb_name = format!(
"website_{}",
url.replace("https://", "")
.replace("http://", "")
.replace('/', "_")
.replace('.', "_")
.chars()
.take(50)
.collect::<String>()
);
// Create collection name for this user's website KB
let collection_name = format!("kb_{}_{}_{}", user.bot_id, user.user_id, kb_name);
// Ensure collection exists in Qdrant
crate::kb::qdrant_client::ensure_collection_exists(_state, &collection_name)
.await
.map_err(|e| format!("Failed to create Qdrant collection: {}", e))?;
// Index the content
crate::kb::embeddings::index_document(_state, &collection_name, url, &text_content)
.await
.map_err(|e| format!("Failed to index document: {}", e))?;
// Associate KB with user (not session)
add_website_kb_to_user(_state, user, &kb_name, url)
.await
.map_err(|e| format!("Failed to associate KB with user: {}", e))?;
info!(
"Website indexed successfully to collection: {}",
collection_name
);
Ok(format!(
"Website '{}' crawled and indexed successfully ({} characters)",
url,
text_content.len()
))
}
}
/// Add a website KB to user's active KBs
async fn add_website_kb_to_user(
_state: &AppState,
user: &UserSession,
kb_name: &str,
website_url: &str,
) -> Result<String, String> {
// TODO: Insert into user_kb_associations table using Diesel
// INSERT INTO user_kb_associations (id, user_id, bot_id, kb_name, is_website, website_url, created_at, updated_at)
// VALUES (uuid_generate_v4(), user.user_id, user.bot_id, kb_name, 1, website_url, NOW(), NOW())
// ON CONFLICT (user_id, bot_id, kb_name) DO UPDATE SET updated_at = NOW()
info!(
"Website KB '{}' associated with user '{}' (bot: {}, url: {})",
kb_name, user.user_id, user.bot_id, website_url
);
Ok(format!(
"Website KB '{}' added successfully for user",
kb_name
))
}

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use crate::basic::keywords::add_tool::clear_session_tools;
use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use log::{error, info};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
pub fn clear_tools_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["CLEAR_TOOLS"], false, move |_context, _inputs| {
info!(
"CLEAR_TOOLS command executed for session: {}",
user_clone.id
);
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
// Spawn async task to clear all tool associations from session
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
clear_all_tools_from_session(&state_for_task, &user_for_task).await
});
tx.send(result).err()
} else {
tx.send(Err("Failed to build tokio runtime".to_string()))
.err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(10)) {
Ok(Ok(message)) => {
info!("CLEAR_TOOLS completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"CLEAR_TOOLS timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("CLEAR_TOOLS failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// Clear all tool associations from the current session
async fn clear_all_tools_from_session(
state: &AppState,
user: &UserSession,
) -> Result<String, String> {
let mut conn = state.conn.lock().map_err(|e| {
error!("Failed to acquire database lock: {}", e);
format!("Database connection error: {}", e)
})?;
// Clear all tool associations for this session
let delete_result = clear_session_tools(&mut *conn, &user.id);
match delete_result {
Ok(rows_affected) => {
if rows_affected > 0 {
info!(
"Cleared {} tool(s) from session '{}' (user: {}, bot: {})",
rows_affected, user.id, user.user_id, user.bot_id
);
Ok(format!(
"All {} tool(s) have been removed from this conversation",
rows_affected
))
} else {
info!("No tools were associated with session '{}'", user.id);
Ok("No tools were active in this conversation".to_string())
}
}
Err(e) => {
error!("Failed to clear tools from session '{}': {}", user.id, e);
Err(format!("Failed to clear tools from session: {}", e))
}
}
}

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use crate::basic::keywords::add_tool::get_session_tools;
use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use log::{error, info};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
pub fn list_tools_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["LIST_TOOLS"], false, move |_context, _inputs| {
info!("LIST_TOOLS command executed for session: {}", user_clone.id);
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
// Spawn async task to list all tool associations from session
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
list_session_tools(&state_for_task, &user_for_task).await
});
tx.send(result).err()
} else {
tx.send(Err("Failed to build tokio runtime".to_string()))
.err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(10)) {
Ok(Ok(message)) => {
info!("LIST_TOOLS completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"LIST_TOOLS timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("LIST_TOOLS failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// List all tools associated with the current session
async fn list_session_tools(state: &AppState, user: &UserSession) -> Result<String, String> {
let mut conn = state.conn.lock().map_err(|e| {
error!("Failed to acquire database lock: {}", e);
format!("Database connection error: {}", e)
})?;
// Get all tool associations for this session
match get_session_tools(&mut *conn, &user.id) {
Ok(tools) => {
if tools.is_empty() {
info!("No tools associated with session '{}'", user.id);
Ok("No tools are currently active in this conversation".to_string())
} else {
info!(
"Found {} tool(s) for session '{}' (user: {}, bot: {})",
tools.len(),
user.id,
user.user_id,
user.bot_id
);
let tool_list = tools
.iter()
.enumerate()
.map(|(idx, tool)| format!("{}. {}", idx + 1, tool))
.collect::<Vec<_>>()
.join("\n");
Ok(format!(
"Active tools in this conversation ({}):\n{}",
tools.len(),
tool_list
))
}
}
Err(e) => {
error!("Failed to list tools for session '{}': {}", user.id, e);
Err(format!("Failed to list tools: {}", e))
}
}
}

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use crate::basic::keywords::add_tool::remove_session_tool;
use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use log::{error, info};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
pub fn remove_tool_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["REMOVE_TOOL", "$expr$"], false, move |context, inputs| {
let tool_path = context.eval_expression_tree(&inputs[0])?;
let tool_path_str = tool_path.to_string().trim_matches('"').to_string();
info!(
"REMOVE_TOOL command executed: {} for session: {}",
tool_path_str, user_clone.id
);
// Extract tool name from path (e.g., "enrollment.bas" -> "enrollment")
let tool_name = tool_path_str
.strip_prefix(".gbdialog/")
.unwrap_or(&tool_path_str)
.strip_suffix(".bas")
.unwrap_or(&tool_path_str)
.to_string();
// Validate tool name
if tool_name.is_empty() {
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"Invalid tool name".into(),
rhai::Position::NONE,
)));
}
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
let tool_name_for_task = tool_name.clone();
// Spawn async task to remove tool association from session
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
disassociate_tool_from_session(
&state_for_task,
&user_for_task,
&tool_name_for_task,
)
.await
});
tx.send(result).err()
} else {
tx.send(Err("Failed to build tokio runtime".to_string()))
.err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(10)) {
Ok(Ok(message)) => {
info!("REMOVE_TOOL completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"REMOVE_TOOL timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("REMOVE_TOOL failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// Remove a tool association from the current session
async fn disassociate_tool_from_session(
state: &AppState,
user: &UserSession,
tool_name: &str,
) -> Result<String, String> {
let mut conn = state.conn.lock().map_err(|e| {
error!("Failed to acquire database lock: {}", e);
format!("Database connection error: {}", e)
})?;
// Remove the tool association
let delete_result = remove_session_tool(&mut *conn, &user.id, tool_name);
match delete_result {
Ok(rows_affected) => {
if rows_affected > 0 {
info!(
"Tool '{}' removed from session '{}' (user: {}, bot: {})",
tool_name, user.id, user.user_id, user.bot_id
);
Ok(format!(
"Tool '{}' has been removed from this conversation",
tool_name
))
} else {
info!(
"Tool '{}' was not associated with session '{}'",
tool_name, user.id
);
Ok(format!(
"Tool '{}' was not active in this conversation",
tool_name
))
}
}
Err(e) => {
error!(
"Failed to remove tool '{}' from session '{}': {}",
tool_name, user.id, e
);
Err(format!("Failed to remove tool from session: {}", e))
}
}
}

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use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use log::{error, info};
use rhai::{Dynamic, Engine};
use std::sync::Arc;
pub fn set_kb_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["SET_KB", "$expr$"], false, move |context, inputs| {
let kb_name = context.eval_expression_tree(&inputs[0])?;
let kb_name_str = kb_name.to_string().trim_matches('"').to_string();
info!(
"SET_KB command executed: {} for user: {}",
kb_name_str, user_clone.user_id
);
// Validate KB name (alphanumeric and underscores only)
if !kb_name_str
.chars()
.all(|c| c.is_alphanumeric() || c == '_' || c == '-')
{
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"KB name must contain only alphanumeric characters, underscores, and hyphens"
.into(),
rhai::Position::NONE,
)));
}
if kb_name_str.is_empty() {
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"KB name cannot be empty".into(),
rhai::Position::NONE,
)));
}
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
let kb_name_for_task = kb_name_str.clone();
// Spawn async task to set up KB collection
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
add_kb_to_user(
&state_for_task,
&user_for_task,
&kb_name_for_task,
false,
None,
)
.await
});
tx.send(result).err()
} else {
tx.send(Err("failed to build tokio runtime".into())).err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(30)) {
Ok(Ok(message)) => {
info!("SET_KB completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"SET_KB timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("SET_KB failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
pub fn add_kb_keyword(state: Arc<AppState>, user: UserSession, engine: &mut Engine) {
let state_clone = Arc::clone(&state);
let user_clone = user.clone();
engine
.register_custom_syntax(&["ADD_KB", "$expr$"], false, move |context, inputs| {
let kb_name = context.eval_expression_tree(&inputs[0])?;
let kb_name_str = kb_name.to_string().trim_matches('"').to_string();
info!(
"ADD_KB command executed: {} for user: {}",
kb_name_str, user_clone.user_id
);
// Validate KB name
if !kb_name_str
.chars()
.all(|c| c.is_alphanumeric() || c == '_' || c == '-')
{
return Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"KB name must contain only alphanumeric characters, underscores, and hyphens"
.into(),
rhai::Position::NONE,
)));
}
let state_for_task = Arc::clone(&state_clone);
let user_for_task = user_clone.clone();
let kb_name_for_task = kb_name_str.clone();
let (tx, rx) = std::sync::mpsc::channel();
std::thread::spawn(move || {
let rt = tokio::runtime::Builder::new_multi_thread()
.worker_threads(2)
.enable_all()
.build();
let send_err = if let Ok(rt) = rt {
let result = rt.block_on(async move {
add_kb_to_user(
&state_for_task,
&user_for_task,
&kb_name_for_task,
false,
None,
)
.await
});
tx.send(result).err()
} else {
tx.send(Err("failed to build tokio runtime".into())).err()
};
if send_err.is_some() {
error!("Failed to send result from thread");
}
});
match rx.recv_timeout(std::time::Duration::from_secs(30)) {
Ok(Ok(message)) => {
info!("ADD_KB completed: {}", message);
Ok(Dynamic::from(message))
}
Ok(Err(e)) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
e.into(),
rhai::Position::NONE,
))),
Err(std::sync::mpsc::RecvTimeoutError::Timeout) => {
Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
"ADD_KB timed out".into(),
rhai::Position::NONE,
)))
}
Err(e) => Err(Box::new(rhai::EvalAltResult::ErrorRuntime(
format!("ADD_KB failed: {}", e).into(),
rhai::Position::NONE,
))),
}
})
.unwrap();
}
/// Add a KB to user's active KBs (stored in user_kb_associations table)
async fn add_kb_to_user(
_state: &AppState,
user: &UserSession,
kb_name: &str,
is_website: bool,
website_url: Option<String>,
) -> Result<String, String> {
// TODO: Insert into user_kb_associations table using Diesel
// For now, just log the action
info!(
"KB '{}' associated with user '{}' (bot: {}, is_website: {})",
kb_name, user.user_id, user.bot_id, is_website
);
if is_website {
if let Some(url) = website_url {
info!("Website URL: {}", url);
return Ok(format!(
"Website KB '{}' added successfully for user",
kb_name
));
}
}
Ok(format!("KB '{}' added successfully for user", kb_name))
}

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use crate::basic::keywords::add_tool::get_session_tools;
use crate::kb::embeddings::search_similar;
use crate::shared::models::UserSession;
use crate::shared::state::AppState;
use log::{debug, error, info};
use serde::{Deserialize, Serialize};
use std::error::Error;
use std::sync::Arc;
/// Answer modes for the bot
#[derive(Debug, Clone, Copy, PartialEq, Serialize, Deserialize)]
pub enum AnswerMode {
Direct = 0, // Direct LLM response
WithTools = 1, // LLM with tool calling
DocumentsOnly = 2, // Search KB documents only, no LLM
WebSearch = 3, // Include web search results
Mixed = 4, // Use tools stack from ADD_TOOL and KB from session
}
impl AnswerMode {
pub fn from_i32(value: i32) -> Self {
match value {
0 => Self::Direct,
1 => Self::WithTools,
2 => Self::DocumentsOnly,
3 => Self::WebSearch,
4 => Self::Mixed,
_ => Self::Direct,
}
}
}
/// Context from KB documents
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DocumentContext {
pub source: String,
pub content: String,
pub score: f32,
pub collection_name: String,
}
/// Context from tools
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolContext {
pub tool_name: String,
pub description: String,
pub endpoint: String,
}
/// Enhanced prompt with context
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EnhancedPrompt {
pub original_query: String,
pub system_prompt: String,
pub user_prompt: String,
pub document_contexts: Vec<DocumentContext>,
pub available_tools: Vec<ToolContext>,
pub answer_mode: AnswerMode,
}
/// Prompt processor that enhances queries with KB and tool context
pub struct PromptProcessor {
state: Arc<AppState>,
}
impl PromptProcessor {
pub fn new(state: Arc<AppState>) -> Self {
Self { state }
}
/// Process a user query and enhance it with context
pub async fn process_query(
&self,
session: &UserSession,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
let answer_mode = AnswerMode::from_i32(session.answer_mode);
info!(
"Processing query in {:?} mode: {}",
answer_mode,
query.chars().take(50).collect::<String>()
);
match answer_mode {
AnswerMode::Direct => self.process_direct(query).await,
AnswerMode::WithTools => self.process_with_tools(session, query).await,
AnswerMode::DocumentsOnly => self.process_documents_only(session, query).await,
AnswerMode::WebSearch => self.process_web_search(session, query).await,
AnswerMode::Mixed => self.process_mixed(session, query).await,
}
}
/// Direct mode: no additional context
async fn process_direct(
&self,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
Ok(EnhancedPrompt {
original_query: query.to_string(),
system_prompt: "You are a helpful AI assistant.".to_string(),
user_prompt: query.to_string(),
document_contexts: Vec::new(),
available_tools: Vec::new(),
answer_mode: AnswerMode::Direct,
})
}
/// With tools mode: include available tools
async fn process_with_tools(
&self,
session: &UserSession,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
let tools = self.get_available_tools(session).await?;
let system_prompt = if tools.is_empty() {
"You are a helpful AI assistant.".to_string()
} else {
format!(
"You are a helpful AI assistant with access to the following tools:\n{}",
self.format_tools_for_prompt(&tools)
)
};
Ok(EnhancedPrompt {
original_query: query.to_string(),
system_prompt,
user_prompt: query.to_string(),
document_contexts: Vec::new(),
available_tools: tools,
answer_mode: AnswerMode::WithTools,
})
}
/// Documents only mode: search KB and use documents to answer
async fn process_documents_only(
&self,
session: &UserSession,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
let documents = self.search_kb_documents(session, query, 5).await?;
let system_prompt = "You are a helpful AI assistant. Answer the user's question based ONLY on the provided documents. If the documents don't contain relevant information, say so.".to_string();
let user_prompt = if documents.is_empty() {
format!("Question: {}\n\nNo relevant documents found.", query)
} else {
format!(
"Question: {}\n\nRelevant documents:\n{}",
query,
self.format_documents_for_prompt(&documents)
)
};
Ok(EnhancedPrompt {
original_query: query.to_string(),
system_prompt,
user_prompt,
document_contexts: documents,
available_tools: Vec::new(),
answer_mode: AnswerMode::DocumentsOnly,
})
}
/// Web search mode: include web search results
async fn process_web_search(
&self,
_session: &UserSession,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
// TODO: Implement web search integration
debug!("Web search mode not fully implemented yet");
self.process_direct(query).await
}
/// Mixed mode: combine KB documents and tools
async fn process_mixed(
&self,
session: &UserSession,
query: &str,
) -> Result<EnhancedPrompt, Box<dyn Error + Send + Sync>> {
// Get both documents and tools
let documents = self.search_kb_documents(session, query, 3).await?;
let tools = self.get_available_tools(session).await?;
let mut system_parts = vec!["You are a helpful AI assistant.".to_string()];
if !documents.is_empty() {
system_parts.push(
"Use the provided documents as knowledge base to answer questions.".to_string(),
);
}
if !tools.is_empty() {
system_parts.push(format!(
"You have access to the following tools:\n{}",
self.format_tools_for_prompt(&tools)
));
}
let system_prompt = system_parts.join("\n\n");
let user_prompt = if documents.is_empty() {
query.to_string()
} else {
format!(
"Context from knowledge base:\n{}\n\nQuestion: {}",
self.format_documents_for_prompt(&documents),
query
)
};
Ok(EnhancedPrompt {
original_query: query.to_string(),
system_prompt,
user_prompt,
document_contexts: documents,
available_tools: tools,
answer_mode: AnswerMode::Mixed,
})
}
/// Search KB documents for a query
async fn search_kb_documents(
&self,
session: &UserSession,
query: &str,
limit: usize,
) -> Result<Vec<DocumentContext>, Box<dyn Error + Send + Sync>> {
// Get active KB collections from session context
let collections = self.get_active_collections(session).await?;
if collections.is_empty() {
debug!("No active KB collections for session");
return Ok(Vec::new());
}
let mut all_results = Vec::new();
// Search in each collection
for collection_name in collections {
debug!("Searching in collection: {}", collection_name);
match search_similar(&self.state, &collection_name, query, limit).await {
Ok(results) => {
for result in results {
all_results.push(DocumentContext {
source: result.file_path,
content: result.chunk_text,
score: result.score,
collection_name: collection_name.clone(),
});
}
}
Err(e) => {
error!("Failed to search collection {}: {}", collection_name, e);
}
}
}
// Sort by score and limit
all_results.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap());
all_results.truncate(limit);
info!("Found {} relevant documents", all_results.len());
Ok(all_results)
}
/// Get active KB collections from session context
async fn get_active_collections(
&self,
session: &UserSession,
) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
let mut collections = Vec::new();
// Check for active_kb_collection in context_data
if let Some(active_kb) = session.context_data.get("active_kb_collection") {
if let Some(name) = active_kb.as_str() {
let collection_name = format!("kb_{}_{}", session.bot_id, name);
collections.push(collection_name);
}
}
// Check for temporary website collections
if let Some(temp_website) = session.context_data.get("temporary_website_collection") {
if let Some(name) = temp_website.as_str() {
collections.push(name.to_string());
}
}
// Check for additional collections from ADD_KB
if let Some(additional) = session.context_data.get("additional_kb_collections") {
if let Some(arr) = additional.as_array() {
for item in arr {
if let Some(name) = item.as_str() {
let collection_name = format!("kb_{}_{}", session.bot_id, name);
collections.push(collection_name);
}
}
}
}
Ok(collections)
}
/// Get available tools from session context
async fn get_available_tools(
&self,
session: &UserSession,
) -> Result<Vec<ToolContext>, Box<dyn Error + Send + Sync>> {
let mut tools = Vec::new();
// Check for tools in session context
if let Some(tools_data) = session.context_data.get("available_tools") {
if let Some(arr) = tools_data.as_array() {
for item in arr {
if let (Some(name), Some(desc), Some(endpoint)) = (
item.get("name").and_then(|v| v.as_str()),
item.get("description").and_then(|v| v.as_str()),
item.get("endpoint").and_then(|v| v.as_str()),
) {
tools.push(ToolContext {
tool_name: name.to_string(),
description: desc.to_string(),
endpoint: endpoint.to_string(),
});
}
}
}
}
// Load all tools associated with this session from session_tool_associations
if let Ok(mut conn) = self.state.conn.lock() {
match get_session_tools(&mut *conn, &session.id) {
Ok(session_tools) => {
info!(
"Loaded {} tools from session_tool_associations for session {}",
session_tools.len(),
session.id
);
for tool_name in session_tools {
// Add the tool if not already in list
if !tools.iter().any(|t| t.tool_name == tool_name) {
tools.push(ToolContext {
tool_name: tool_name.clone(),
description: format!("Tool: {}", tool_name),
endpoint: format!("/default/{}", tool_name),
});
}
}
}
Err(e) => {
error!("Failed to load session tools: {}", e);
}
}
} else {
error!("Failed to acquire database lock for loading session tools");
}
// Also check for legacy current_tool (backward compatibility)
if let Some(current_tool) = &session.current_tool {
// Add the current tool if not already in list
if !tools.iter().any(|t| &t.tool_name == current_tool) {
tools.push(ToolContext {
tool_name: current_tool.clone(),
description: format!("Legacy tool: {}", current_tool),
endpoint: format!("/default/{}", current_tool),
});
}
}
debug!("Found {} available tools", tools.len());
Ok(tools)
}
/// Format documents for inclusion in prompt
fn format_documents_for_prompt(&self, documents: &[DocumentContext]) -> String {
documents
.iter()
.enumerate()
.map(|(idx, doc)| {
format!(
"[Document {}] (Source: {}, Relevance: {:.2})\n{}",
idx + 1,
doc.source,
doc.score,
doc.content.chars().take(500).collect::<String>()
)
})
.collect::<Vec<_>>()
.join("\n\n")
}
/// Format tools for inclusion in prompt
fn format_tools_for_prompt(&self, tools: &[ToolContext]) -> String {
tools
.iter()
.map(|tool| format!("- {}: {}", tool.tool_name, tool.description))
.collect::<Vec<_>>()
.join("\n")
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_answer_mode_from_i32() {
assert_eq!(AnswerMode::from_i32(0), AnswerMode::Direct);
assert_eq!(AnswerMode::from_i32(1), AnswerMode::WithTools);
assert_eq!(AnswerMode::from_i32(2), AnswerMode::DocumentsOnly);
assert_eq!(AnswerMode::from_i32(3), AnswerMode::WebSearch);
assert_eq!(AnswerMode::from_i32(4), AnswerMode::Mixed);
assert_eq!(AnswerMode::from_i32(99), AnswerMode::Direct); // Default
}
#[test]
fn test_format_documents() {
let processor = PromptProcessor::new(Arc::new(AppState::default()));
let docs = vec![
DocumentContext {
source: "test.pdf".to_string(),
content: "This is test content".to_string(),
score: 0.95,
collection_name: "test_collection".to_string(),
},
DocumentContext {
source: "another.pdf".to_string(),
content: "More content here".to_string(),
score: 0.85,
collection_name: "test_collection".to_string(),
},
];
let formatted = processor.format_documents_for_prompt(&docs);
assert!(formatted.contains("[Document 1]"));
assert!(formatted.contains("[Document 2]"));
assert!(formatted.contains("test.pdf"));
assert!(formatted.contains("This is test content"));
}
#[test]
fn test_format_tools() {
let processor = PromptProcessor::new(Arc::new(AppState::default()));
let tools = vec![
ToolContext {
tool_name: "enrollment".to_string(),
description: "Enroll a user".to_string(),
endpoint: "/default/enrollment".to_string(),
},
ToolContext {
tool_name: "pricing".to_string(),
description: "Get product pricing".to_string(),
endpoint: "/default/pricing".to_string(),
},
];
let formatted = processor.format_tools_for_prompt(&tools);
assert!(formatted.contains("enrollment"));
assert!(formatted.contains("Enroll a user"));
assert!(formatted.contains("pricing"));
}
}

429
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use crate::basic::compiler::BasicCompiler;
use crate::kb::embeddings;
use crate::kb::qdrant_client;
use crate::shared::state::AppState;
use aws_sdk_s3::Client as S3Client;
use log::{debug, error, info, warn};
use std::collections::HashMap;
use std::error::Error;
use std::sync::Arc;
use tokio::time::{interval, Duration};
/// Tracks file state for change detection
#[derive(Debug, Clone)]
pub struct FileState {
pub path: String,
pub size: i64,
pub etag: String,
pub last_modified: Option<String>,
}
/// Drive monitor that watches for changes and triggers compilation/indexing
pub struct DriveMonitor {
state: Arc<AppState>,
bucket_name: String,
file_states: Arc<tokio::sync::RwLock<HashMap<String, FileState>>>,
}
impl DriveMonitor {
pub fn new(state: Arc<AppState>, bucket_name: String) -> Self {
Self {
state,
bucket_name,
file_states: Arc::new(tokio::sync::RwLock::new(HashMap::new())),
}
}
/// Start the drive monitoring service
pub fn spawn(self: Arc<Self>) -> tokio::task::JoinHandle<()> {
tokio::spawn(async move {
info!(
"Drive Monitor service started for bucket: {}",
self.bucket_name
);
let mut tick = interval(Duration::from_secs(30)); // Check every 30 seconds
loop {
tick.tick().await;
if let Err(e) = self.check_for_changes().await {
error!("Error checking for drive changes: {}", e);
}
}
})
}
/// Check for file changes in the drive
async fn check_for_changes(&self) -> Result<(), Box<dyn Error + Send + Sync>> {
let s3_client = match &self.state.s3_client {
Some(client) => client,
None => {
debug!("S3 client not configured");
return Ok(());
}
};
// Check .gbdialog folder for BASIC tools
self.check_gbdialog_changes(s3_client).await?;
// Check .gbkb folder for KB documents
self.check_gbkb_changes(s3_client).await?;
Ok(())
}
/// Check .gbdialog folder for BASIC tool changes
async fn check_gbdialog_changes(
&self,
s3_client: &S3Client,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let prefix = ".gbdialog/";
debug!("Checking {} folder for changes", prefix);
let mut continuation_token: Option<String> = None;
let mut current_files = HashMap::new();
loop {
let mut list_request = s3_client
.list_objects_v2()
.bucket(&self.bucket_name)
.prefix(prefix);
if let Some(token) = continuation_token {
list_request = list_request.continuation_token(token);
}
let list_result = list_request.send().await?;
if let Some(contents) = list_result.contents {
for object in contents {
if let Some(key) = object.key {
// Skip directories and non-.bas files
if key.ends_with('/') || !key.ends_with(".bas") {
continue;
}
let file_state = FileState {
path: key.clone(),
size: object.size.unwrap_or(0),
etag: object.e_tag.unwrap_or_default(),
last_modified: object.last_modified.map(|dt| dt.to_string()),
};
current_files.insert(key, file_state);
}
}
}
if list_result.is_truncated.unwrap_or(false) {
continuation_token = list_result.next_continuation_token;
} else {
break;
}
}
// Compare with previous state and handle changes
let mut file_states = self.file_states.write().await;
for (path, current_state) in current_files.iter() {
if let Some(previous_state) = file_states.get(path) {
// File exists, check if modified
if current_state.etag != previous_state.etag {
info!("BASIC tool modified: {}", path);
if let Err(e) = self.compile_tool(s3_client, path).await {
error!("Failed to compile tool {}: {}", path, e);
}
}
} else {
// New file
info!("New BASIC tool detected: {}", path);
if let Err(e) = self.compile_tool(s3_client, path).await {
error!("Failed to compile tool {}: {}", path, e);
}
}
}
// Check for deleted files
let previous_paths: Vec<String> = file_states
.keys()
.filter(|k| k.starts_with(prefix))
.cloned()
.collect();
for path in previous_paths {
if !current_files.contains_key(&path) {
info!("BASIC tool deleted: {}", path);
// TODO: Mark tool as inactive in database
file_states.remove(&path);
}
}
// Update state with current files
for (path, state) in current_files {
file_states.insert(path, state);
}
Ok(())
}
/// Check .gbkb folder for KB document changes
async fn check_gbkb_changes(
&self,
s3_client: &S3Client,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let prefix = ".gbkb/";
debug!("Checking {} folder for changes", prefix);
let mut continuation_token: Option<String> = None;
let mut current_files = HashMap::new();
loop {
let mut list_request = s3_client
.list_objects_v2()
.bucket(&self.bucket_name)
.prefix(prefix);
if let Some(token) = continuation_token {
list_request = list_request.continuation_token(token);
}
let list_result = list_request.send().await?;
if let Some(contents) = list_result.contents {
for object in contents {
if let Some(key) = object.key {
// Skip directories
if key.ends_with('/') {
continue;
}
// Only process supported file types
let ext = key.rsplit('.').next().unwrap_or("").to_lowercase();
if !["pdf", "txt", "md", "docx"].contains(&ext.as_str()) {
continue;
}
let file_state = FileState {
path: key.clone(),
size: object.size.unwrap_or(0),
etag: object.e_tag.unwrap_or_default(),
last_modified: object.last_modified.map(|dt| dt.to_string()),
};
current_files.insert(key, file_state);
}
}
}
if list_result.is_truncated.unwrap_or(false) {
continuation_token = list_result.next_continuation_token;
} else {
break;
}
}
// Compare with previous state and handle changes
let mut file_states = self.file_states.write().await;
for (path, current_state) in current_files.iter() {
if let Some(previous_state) = file_states.get(path) {
// File exists, check if modified
if current_state.etag != previous_state.etag {
info!("KB document modified: {}", path);
if let Err(e) = self.index_document(s3_client, path).await {
error!("Failed to index document {}: {}", path, e);
}
}
} else {
// New file
info!("New KB document detected: {}", path);
if let Err(e) = self.index_document(s3_client, path).await {
error!("Failed to index document {}: {}", path, e);
}
}
}
// Check for deleted files
let previous_paths: Vec<String> = file_states
.keys()
.filter(|k| k.starts_with(prefix))
.cloned()
.collect();
for path in previous_paths {
if !current_files.contains_key(&path) {
info!("KB document deleted: {}", path);
// TODO: Delete from Qdrant and mark in database
file_states.remove(&path);
}
}
// Update state with current files
for (path, state) in current_files {
file_states.insert(path, state);
}
Ok(())
}
/// Compile a BASIC tool file
async fn compile_tool(
&self,
s3_client: &S3Client,
file_path: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
info!("Compiling BASIC tool: {}", file_path);
// Download source from S3
let get_response = s3_client
.get_object()
.bucket(&self.bucket_name)
.key(file_path)
.send()
.await?;
let data = get_response.body.collect().await?;
let source_content = String::from_utf8(data.into_bytes().to_vec())?;
// Extract tool name
let tool_name = file_path
.strip_prefix(".gbdialog/")
.unwrap_or(file_path)
.strip_suffix(".bas")
.unwrap_or(file_path)
.to_string();
// Calculate file hash for change detection
let _file_hash = format!("{:x}", source_content.len());
// Create work directory
let work_dir = "./work/default.gbai/default.gbdialog";
std::fs::create_dir_all(work_dir)?;
// Write source to local file
let local_source_path = format!("{}/{}.bas", work_dir, tool_name);
std::fs::write(&local_source_path, &source_content)?;
// Compile using BasicCompiler
let compiler = BasicCompiler::new(Arc::clone(&self.state));
let result = compiler.compile_file(&local_source_path, work_dir)?;
info!("Tool compiled successfully: {}", tool_name);
info!(" AST: {}", result.ast_path);
// Save to database
if let Some(mcp_tool) = result.mcp_tool {
info!(
" MCP tool definition generated with {} parameters",
mcp_tool.input_schema.properties.len()
);
}
if result.openai_tool.is_some() {
info!(" OpenAI tool definition generated");
}
// TODO: Insert/update in basic_tools table
// INSERT INTO basic_tools (id, bot_id, tool_name, file_path, ast_path, file_hash,
// mcp_json, tool_json, compiled_at, is_active, created_at, updated_at)
// VALUES (...) ON CONFLICT (bot_id, tool_name) DO UPDATE SET ...
Ok(())
}
/// Index a KB document
async fn index_document(
&self,
s3_client: &S3Client,
file_path: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
info!("Indexing KB document: {}", file_path);
// Extract collection name from path (.gbkb/collection_name/file.pdf)
let parts: Vec<&str> = file_path.split('/').collect();
if parts.len() < 3 {
warn!("Invalid KB path structure: {}", file_path);
return Ok(());
}
let collection_name = parts[1];
// Download file from S3
let get_response = s3_client
.get_object()
.bucket(&self.bucket_name)
.key(file_path)
.send()
.await?;
let data = get_response.body.collect().await?;
let bytes = data.into_bytes().to_vec();
// Extract text based on file type
let text_content = self.extract_text(file_path, &bytes)?;
if text_content.trim().is_empty() {
warn!("No text extracted from: {}", file_path);
return Ok(());
}
info!(
"Extracted {} characters from {}",
text_content.len(),
file_path
);
// Create Qdrant collection name
let qdrant_collection = format!("kb_default_{}", collection_name);
// Ensure collection exists
qdrant_client::ensure_collection_exists(&self.state, &qdrant_collection).await?;
// Index document
embeddings::index_document(&self.state, &qdrant_collection, file_path, &text_content)
.await?;
info!("Document indexed successfully: {}", file_path);
// TODO: Insert/update in kb_documents table
// INSERT INTO kb_documents (id, bot_id, user_id, collection_name, file_path, file_size,
// file_hash, first_published_at, last_modified_at, indexed_at,
// metadata, created_at, updated_at)
// VALUES (...) ON CONFLICT (...) DO UPDATE SET ...
Ok(())
}
/// Extract text from various file types
fn extract_text(
&self,
file_path: &str,
content: &[u8],
) -> Result<String, Box<dyn Error + Send + Sync>> {
let path_lower = file_path.to_ascii_lowercase();
if path_lower.ends_with(".pdf") {
match pdf_extract::extract_text_from_mem(content) {
Ok(text) => Ok(text),
Err(e) => {
error!("PDF extraction failed for {}: {}", file_path, e);
Err(format!("PDF extraction failed: {}", e).into())
}
}
} else if path_lower.ends_with(".txt") || path_lower.ends_with(".md") {
String::from_utf8(content.to_vec())
.map_err(|e| format!("UTF-8 decoding failed: {}", e).into())
} else {
// Try as plain text
String::from_utf8(content.to_vec())
.map_err(|e| format!("Unsupported file format or UTF-8 error: {}", e).into())
}
}
/// Clear all tracked file states
pub async fn clear_state(&self) {
let mut states = self.file_states.write().await;
states.clear();
info!("Cleared all file states");
}
}

288
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use crate::kb::qdrant_client::{get_qdrant_client, QdrantPoint};
use crate::shared::state::AppState;
use log::{debug, error, info};
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::error::Error;
const CHUNK_SIZE: usize = 512; // Characters per chunk
const CHUNK_OVERLAP: usize = 50; // Overlap between chunks
#[derive(Debug, Serialize, Deserialize)]
struct EmbeddingRequest {
input: Vec<String>,
model: String,
}
#[derive(Debug, Serialize, Deserialize)]
struct EmbeddingResponse {
data: Vec<EmbeddingData>,
}
#[derive(Debug, Serialize, Deserialize)]
struct EmbeddingData {
embedding: Vec<f32>,
}
/// Generate embeddings using local LLM server
pub async fn generate_embeddings(
texts: Vec<String>,
) -> Result<Vec<Vec<f32>>, Box<dyn Error + Send + Sync>> {
let llm_url = std::env::var("LLM_URL").unwrap_or_else(|_| "http://localhost:8081".to_string());
let url = format!("{}/v1/embeddings", llm_url);
debug!("Generating embeddings for {} texts", texts.len());
let client = Client::new();
let request = EmbeddingRequest {
input: texts,
model: "text-embedding-ada-002".to_string(),
};
let response = client
.post(&url)
.json(&request)
.timeout(std::time::Duration::from_secs(60))
.send()
.await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Embedding generation failed: {}", error_text);
return Err(format!("Embedding generation failed: {}", error_text).into());
}
let embedding_response: EmbeddingResponse = response.json().await?;
let embeddings: Vec<Vec<f32>> = embedding_response
.data
.into_iter()
.map(|d| d.embedding)
.collect();
debug!("Generated {} embeddings", embeddings.len());
Ok(embeddings)
}
/// Split text into chunks with overlap
pub fn split_into_chunks(text: &str) -> Vec<String> {
let mut chunks = Vec::new();
let chars: Vec<char> = text.chars().collect();
let total_chars = chars.len();
if total_chars == 0 {
return chunks;
}
let mut start = 0;
while start < total_chars {
let end = std::cmp::min(start + CHUNK_SIZE, total_chars);
let chunk: String = chars[start..end].iter().collect();
chunks.push(chunk);
if end >= total_chars {
break;
}
// Move forward, but with overlap
start += CHUNK_SIZE - CHUNK_OVERLAP;
}
debug!("Split text into {} chunks", chunks.len());
chunks
}
/// Index a document by splitting it into chunks and storing embeddings
pub async fn index_document(
state: &AppState,
collection_name: &str,
file_path: &str,
content: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
info!("Indexing document: {}", file_path);
// Split document into chunks
let chunks = split_into_chunks(content);
if chunks.is_empty() {
info!("Document is empty, skipping: {}", file_path);
return Ok(());
}
// Generate embeddings for all chunks
let embeddings = generate_embeddings(chunks.clone()).await?;
if embeddings.len() != chunks.len() {
error!(
"Embedding count mismatch: {} embeddings for {} chunks",
embeddings.len(),
chunks.len()
);
return Err("Embedding count mismatch".into());
}
// Create Qdrant points
let mut points = Vec::new();
for (idx, (chunk, embedding)) in chunks.iter().zip(embeddings.iter()).enumerate() {
let point_id = format!("{}_{}", file_path.replace('/', "_"), idx);
let payload = serde_json::json!({
"file_path": file_path,
"chunk_index": idx,
"chunk_text": chunk,
"total_chunks": chunks.len(),
});
points.push(QdrantPoint {
id: point_id,
vector: embedding.clone(),
payload,
});
}
// Upsert points to Qdrant
let client = get_qdrant_client(state)?;
client.upsert_points(collection_name, points).await?;
info!(
"Document indexed successfully: {} ({} chunks)",
file_path,
chunks.len()
);
Ok(())
}
/// Delete a document from the collection
pub async fn delete_document(
state: &AppState,
collection_name: &str,
file_path: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
info!("Deleting document from index: {}", file_path);
let client = get_qdrant_client(state)?;
// Find all point IDs for this file path
// Note: This is a simplified approach. In production, you'd want to search
// by payload filter or maintain an index of point IDs per file.
let prefix = file_path.replace('/', "_");
// For now, we'll generate potential IDs based on common chunk counts
let mut point_ids = Vec::new();
for idx in 0..1000 {
// Max 1000 chunks
point_ids.push(format!("{}_{}", prefix, idx));
}
client.delete_points(collection_name, point_ids).await?;
info!("Document deleted from index: {}", file_path);
Ok(())
}
/// Search for similar documents
pub async fn search_similar(
state: &AppState,
collection_name: &str,
query: &str,
limit: usize,
) -> Result<Vec<SearchResult>, Box<dyn Error + Send + Sync>> {
debug!("Searching for: {}", query);
// Generate embedding for query
let embeddings = generate_embeddings(vec![query.to_string()]).await?;
if embeddings.is_empty() {
error!("Failed to generate query embedding");
return Err("Failed to generate query embedding".into());
}
let query_embedding = embeddings[0].clone();
// Search in Qdrant
let client = get_qdrant_client(state)?;
let results = client
.search(collection_name, query_embedding, limit)
.await?;
// Convert to our SearchResult format
let search_results: Vec<SearchResult> = results
.into_iter()
.map(|r| SearchResult {
file_path: r
.payload
.as_ref()
.and_then(|p| p.get("file_path"))
.and_then(|v| v.as_str())
.unwrap_or("unknown")
.to_string(),
chunk_text: r
.payload
.as_ref()
.and_then(|p| p.get("chunk_text"))
.and_then(|v| v.as_str())
.unwrap_or("")
.to_string(),
score: r.score,
chunk_index: r
.payload
.as_ref()
.and_then(|p| p.get("chunk_index"))
.and_then(|v| v.as_i64())
.unwrap_or(0) as usize,
})
.collect();
debug!("Found {} similar documents", search_results.len());
Ok(search_results)
}
#[derive(Debug, Clone)]
pub struct SearchResult {
pub file_path: String,
pub chunk_text: String,
pub score: f32,
pub chunk_index: usize,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_split_into_chunks() {
let text = "a".repeat(1000);
let chunks = split_into_chunks(&text);
// Should have at least 2 chunks
assert!(chunks.len() >= 2);
// First chunk should be CHUNK_SIZE
assert_eq!(chunks[0].len(), CHUNK_SIZE);
}
#[test]
fn test_split_short_text() {
let text = "Short text";
let chunks = split_into_chunks(text);
assert_eq!(chunks.len(), 1);
assert_eq!(chunks[0], text);
}
#[test]
fn test_split_empty_text() {
let text = "";
let chunks = split_into_chunks(text);
assert_eq!(chunks.len(), 0);
}
}

294
src/kb/minio_handler.rs Normal file
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use crate::shared::state::AppState;
use aws_sdk_s3::Client as S3Client;
use log::{debug, error, info};
use std::collections::HashMap;
use std::error::Error;
use std::sync::Arc;
use tokio::time::{interval, Duration};
/// MinIO file state tracker
#[derive(Debug, Clone)]
pub struct FileState {
pub path: String,
pub size: i64,
pub etag: String,
pub last_modified: Option<String>,
}
/// MinIO handler that monitors bucket changes
pub struct MinIOHandler {
state: Arc<AppState>,
bucket_name: String,
watched_prefixes: Arc<tokio::sync::RwLock<Vec<String>>>,
file_states: Arc<tokio::sync::RwLock<HashMap<String, FileState>>>,
}
impl MinIOHandler {
pub fn new(state: Arc<AppState>, bucket_name: String) -> Self {
Self {
state,
bucket_name,
watched_prefixes: Arc::new(tokio::sync::RwLock::new(Vec::new())),
file_states: Arc::new(tokio::sync::RwLock::new(HashMap::new())),
}
}
/// Add a prefix to watch (e.g., ".gbkb/", ".gbdialog/")
pub async fn watch_prefix(&self, prefix: String) {
let mut prefixes = self.watched_prefixes.write().await;
if !prefixes.contains(&prefix) {
prefixes.push(prefix.clone());
info!("Now watching MinIO prefix: {}", prefix);
}
}
/// Remove a prefix from watch list
pub async fn unwatch_prefix(&self, prefix: &str) {
let mut prefixes = self.watched_prefixes.write().await;
prefixes.retain(|p| p != prefix);
info!("Stopped watching MinIO prefix: {}", prefix);
}
/// Start the monitoring service
pub fn spawn(
self: Arc<Self>,
change_callback: Arc<dyn Fn(FileChangeEvent) + Send + Sync>,
) -> tokio::task::JoinHandle<()> {
tokio::spawn(async move {
info!("MinIO Handler service started");
let mut tick = interval(Duration::from_secs(15)); // Check every 15 seconds
loop {
tick.tick().await;
if let Err(e) = self.check_for_changes(&change_callback).await {
error!("Error checking for MinIO changes: {}", e);
}
}
})
}
/// Check for file changes in watched prefixes
async fn check_for_changes(
&self,
callback: &Arc<dyn Fn(FileChangeEvent) + Send + Sync>,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let s3_client = match &self.state.s3_client {
Some(client) => client,
None => {
debug!("S3 client not configured");
return Ok(());
}
};
let prefixes = self.watched_prefixes.read().await;
for prefix in prefixes.iter() {
debug!("Checking prefix: {}", prefix);
if let Err(e) = self.check_prefix_changes(s3_client, prefix, callback).await {
error!("Error checking prefix {}: {}", prefix, e);
}
}
Ok(())
}
/// Check changes in a specific prefix
async fn check_prefix_changes(
&self,
s3_client: &S3Client,
prefix: &str,
callback: &Arc<dyn Fn(FileChangeEvent) + Send + Sync>,
) -> Result<(), Box<dyn Error + Send + Sync>> {
// List all objects with the prefix
let mut continuation_token: Option<String> = None;
let mut current_files = HashMap::new();
loop {
let mut list_request = s3_client
.list_objects_v2()
.bucket(&self.bucket_name)
.prefix(prefix);
if let Some(token) = continuation_token {
list_request = list_request.continuation_token(token);
}
let list_result = list_request.send().await?;
if let Some(contents) = list_result.contents {
for object in contents {
if let Some(key) = object.key {
// Skip directories
if key.ends_with('/') {
continue;
}
let file_state = FileState {
path: key.clone(),
size: object.size.unwrap_or(0),
etag: object.e_tag.unwrap_or_default(),
last_modified: object.last_modified.map(|dt| dt.to_string()),
};
current_files.insert(key, file_state);
}
}
}
if list_result.is_truncated.unwrap_or(false) {
continuation_token = list_result.next_continuation_token;
} else {
break;
}
}
// Compare with previous state
let mut file_states = self.file_states.write().await;
// Check for new or modified files
for (path, current_state) in current_files.iter() {
if let Some(previous_state) = file_states.get(path) {
// File exists, check if modified
if current_state.etag != previous_state.etag
|| current_state.size != previous_state.size
{
info!("File modified: {}", path);
callback(FileChangeEvent::Modified {
path: path.clone(),
size: current_state.size,
etag: current_state.etag.clone(),
});
}
} else {
// New file
info!("File created: {}", path);
callback(FileChangeEvent::Created {
path: path.clone(),
size: current_state.size,
etag: current_state.etag.clone(),
});
}
}
// Check for deleted files
let previous_paths: Vec<String> = file_states
.keys()
.filter(|k| k.starts_with(prefix))
.cloned()
.collect();
for path in previous_paths {
if !current_files.contains_key(&path) {
info!("File deleted: {}", path);
callback(FileChangeEvent::Deleted { path: path.clone() });
file_states.remove(&path);
}
}
// Update state with current files
for (path, state) in current_files {
file_states.insert(path, state);
}
Ok(())
}
/// Get current state of a file
pub async fn get_file_state(&self, path: &str) -> Option<FileState> {
let states = self.file_states.read().await;
states.get(path).cloned()
}
/// Clear all tracked file states
pub async fn clear_state(&self) {
let mut states = self.file_states.write().await;
states.clear();
info!("Cleared all file states");
}
/// Get all tracked files for a prefix
pub async fn get_files_by_prefix(&self, prefix: &str) -> Vec<FileState> {
let states = self.file_states.read().await;
states
.values()
.filter(|state| state.path.starts_with(prefix))
.cloned()
.collect()
}
}
/// File change event types
#[derive(Debug, Clone)]
pub enum FileChangeEvent {
Created {
path: String,
size: i64,
etag: String,
},
Modified {
path: String,
size: i64,
etag: String,
},
Deleted {
path: String,
},
}
impl FileChangeEvent {
pub fn path(&self) -> &str {
match self {
FileChangeEvent::Created { path, .. } => path,
FileChangeEvent::Modified { path, .. } => path,
FileChangeEvent::Deleted { path } => path,
}
}
pub fn event_type(&self) -> &str {
match self {
FileChangeEvent::Created { .. } => "created",
FileChangeEvent::Modified { .. } => "modified",
FileChangeEvent::Deleted { .. } => "deleted",
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_file_change_event_path() {
let event = FileChangeEvent::Created {
path: "test.txt".to_string(),
size: 100,
etag: "abc123".to_string(),
};
assert_eq!(event.path(), "test.txt");
assert_eq!(event.event_type(), "created");
}
#[test]
fn test_file_change_event_types() {
let created = FileChangeEvent::Created {
path: "file1.txt".to_string(),
size: 100,
etag: "abc".to_string(),
};
let modified = FileChangeEvent::Modified {
path: "file2.txt".to_string(),
size: 200,
etag: "def".to_string(),
};
let deleted = FileChangeEvent::Deleted {
path: "file3.txt".to_string(),
};
assert_eq!(created.event_type(), "created");
assert_eq!(modified.event_type(), "modified");
assert_eq!(deleted.event_type(), "deleted");
}
}

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use crate::shared::models::KBCollection;
use crate::shared::state::AppState;
use log::{debug, error, info, warn};
use std::collections::HashMap;
use std::error::Error;
use std::sync::Arc;
use tokio::time::{interval, Duration};
pub mod embeddings;
pub mod minio_handler;
pub mod qdrant_client;
/// Represents a change in a KB file
#[derive(Debug, Clone)]
pub enum FileChangeEvent {
Created(String),
Modified(String),
Deleted(String),
}
/// KB Manager service that coordinates MinIO monitoring and Qdrant indexing
pub struct KBManager {
state: Arc<AppState>,
watched_collections: Arc<tokio::sync::RwLock<HashMap<String, KBCollection>>>,
}
impl KBManager {
pub fn new(state: Arc<AppState>) -> Self {
Self {
state,
watched_collections: Arc::new(tokio::sync::RwLock::new(HashMap::new())),
}
}
/// Start watching a KB collection folder
pub async fn add_collection(
&self,
bot_id: String,
user_id: String,
collection_name: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let folder_path = format!(".gbkb/{}", collection_name);
let qdrant_collection = format!("kb_{}_{}", bot_id, collection_name);
info!(
"Adding KB collection: {} -> {}",
collection_name, qdrant_collection
);
// Create Qdrant collection if it doesn't exist
qdrant_client::ensure_collection_exists(&self.state, &qdrant_collection).await?;
let now = chrono::Utc::now().to_rfc3339();
let collection = KBCollection {
id: uuid::Uuid::new_v4().to_string(),
bot_id,
user_id,
name: collection_name.to_string(),
folder_path: folder_path.clone(),
qdrant_collection: qdrant_collection.clone(),
document_count: 0,
is_active: 1,
created_at: now.clone(),
updated_at: now,
};
let mut collections = self.watched_collections.write().await;
collections.insert(collection_name.to_string(), collection);
info!("KB collection added successfully: {}", collection_name);
Ok(())
}
/// Remove a KB collection
pub async fn remove_collection(
&self,
collection_name: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let mut collections = self.watched_collections.write().await;
collections.remove(collection_name);
info!("KB collection removed: {}", collection_name);
Ok(())
}
/// Start the KB monitoring service
pub fn spawn(self: Arc<Self>) -> tokio::task::JoinHandle<()> {
tokio::spawn(async move {
info!("KB Manager service started");
let mut tick = interval(Duration::from_secs(30));
loop {
tick.tick().await;
let collections = self.watched_collections.read().await;
for (name, collection) in collections.iter() {
if let Err(e) = self.check_collection_updates(collection).await {
error!("Error checking collection {}: {}", name, e);
}
}
}
})
}
/// Check for updates in a collection
async fn check_collection_updates(
&self,
collection: &KBCollection,
) -> Result<(), Box<dyn Error + Send + Sync>> {
debug!("Checking updates for collection: {}", collection.name);
let s3_client = match &self.state.s3_client {
Some(client) => client,
None => {
warn!("S3 client not configured");
return Ok(());
}
};
let config = match &self.state.config {
Some(cfg) => cfg,
None => {
error!("App configuration missing");
return Err("App configuration missing".into());
}
};
let bucket_name = format!("{}default.gbai", config.minio.org_prefix);
// List objects in the collection folder
let list_result = s3_client
.list_objects_v2()
.bucket(&bucket_name)
.prefix(&collection.folder_path)
.send()
.await?;
if let Some(contents) = list_result.contents {
for object in contents {
if let Some(key) = object.key {
// Skip directories
if key.ends_with('/') {
continue;
}
// Check if file needs indexing
if let Err(e) = self
.process_file(
&collection,
&key,
object.size.unwrap_or(0),
object.last_modified.map(|dt| dt.to_string()),
)
.await
{
error!("Error processing file {}: {}", key, e);
}
}
}
}
Ok(())
}
/// Process a single file (check if changed and index if needed)
async fn process_file(
&self,
collection: &KBCollection,
file_path: &str,
file_size: i64,
_last_modified: Option<String>,
) -> Result<(), Box<dyn Error + Send + Sync>> {
// Get file content hash
let content = self.get_file_content(file_path).await?;
// Simple hash using length and first/last bytes for change detection
let file_hash = if content.len() > 100 {
format!(
"{:x}_{:x}_{}",
content.len(),
content[0] as u32 * 256 + content[1] as u32,
content[content.len() - 1] as u32 * 256 + content[content.len() - 2] as u32
)
} else {
format!("{:x}", content.len())
};
// Check if file is already indexed with same hash
if self
.is_file_indexed(collection.bot_id.clone(), file_path, &file_hash)
.await?
{
debug!("File already indexed: {}", file_path);
return Ok(());
}
info!(
"Indexing file: {} to collection {}",
file_path, collection.name
);
// Extract text based on file type
let text_content = self.extract_text(file_path, &content).await?;
// Generate embeddings and store in Qdrant
embeddings::index_document(
&self.state,
&collection.qdrant_collection,
file_path,
&text_content,
)
.await?;
// Save metadata to database
let metadata = serde_json::json!({
"file_type": self.get_file_type(file_path),
"last_modified": _last_modified,
});
self.save_document_metadata(
collection.bot_id.clone(),
&collection.name,
file_path,
file_size,
&file_hash,
metadata,
)
.await?;
info!("File indexed successfully: {}", file_path);
Ok(())
}
/// Get file content from MinIO
async fn get_file_content(
&self,
file_path: &str,
) -> Result<Vec<u8>, Box<dyn Error + Send + Sync>> {
let s3_client = self
.state
.s3_client
.as_ref()
.ok_or("S3 client not configured")?;
let config = self
.state
.config
.as_ref()
.ok_or("App configuration missing")?;
let bucket_name = format!("{}default.gbai", config.minio.org_prefix);
let response = s3_client
.get_object()
.bucket(&bucket_name)
.key(file_path)
.send()
.await?;
let data = response.body.collect().await?;
Ok(data.into_bytes().to_vec())
}
/// Extract text from various file types
async fn extract_text(
&self,
file_path: &str,
content: &[u8],
) -> Result<String, Box<dyn Error + Send + Sync>> {
let path_lower = file_path.to_ascii_lowercase();
if path_lower.ends_with(".pdf") {
match pdf_extract::extract_text_from_mem(content) {
Ok(text) => Ok(text),
Err(e) => {
error!("PDF extraction failed for {}: {}", file_path, e);
Err(format!("PDF extraction failed: {}", e).into())
}
}
} else if path_lower.ends_with(".txt") || path_lower.ends_with(".md") {
String::from_utf8(content.to_vec())
.map_err(|e| format!("UTF-8 decoding failed: {}", e).into())
} else if path_lower.ends_with(".docx") {
// TODO: Add DOCX support
warn!("DOCX format not yet supported: {}", file_path);
Err("DOCX format not supported".into())
} else {
// Try as plain text
String::from_utf8(content.to_vec())
.map_err(|e| format!("Unsupported file format or UTF-8 error: {}", e).into())
}
}
/// Check if file is already indexed
async fn is_file_indexed(
&self,
_bot_id: String,
_file_path: &str,
_file_hash: &str,
) -> Result<bool, Box<dyn Error + Send + Sync>> {
// TODO: Query database to check if file with same hash exists
// For now, return false to always reindex
Ok(false)
}
/// Save document metadata to database
async fn save_document_metadata(
&self,
_bot_id: String,
_collection_name: &str,
file_path: &str,
file_size: i64,
file_hash: &str,
_metadata: serde_json::Value,
) -> Result<(), Box<dyn Error + Send + Sync>> {
// TODO: Save to database using Diesel
info!(
"Saving metadata for {}: size={}, hash={}",
file_path, file_size, file_hash
);
Ok(())
}
/// Get file type from path
fn get_file_type(&self, file_path: &str) -> String {
file_path
.rsplit('.')
.next()
.unwrap_or("unknown")
.to_lowercase()
}
}

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use crate::shared::state::AppState;
use log::{debug, error, info};
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::error::Error;
#[derive(Debug, Serialize, Deserialize)]
pub struct QdrantPoint {
pub id: String,
pub vector: Vec<f32>,
pub payload: serde_json::Value,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct CreateCollectionRequest {
pub vectors: VectorParams,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct VectorParams {
pub size: usize,
pub distance: String,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct UpsertRequest {
pub points: Vec<QdrantPoint>,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct SearchRequest {
pub vector: Vec<f32>,
pub limit: usize,
pub with_payload: bool,
pub with_vector: bool,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct SearchResponse {
pub result: Vec<SearchResult>,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct SearchResult {
pub id: String,
pub score: f32,
pub payload: Option<serde_json::Value>,
pub vector: Option<Vec<f32>>,
}
#[derive(Debug, Serialize, Deserialize)]
pub struct CollectionInfo {
pub status: String,
}
pub struct QdrantClient {
base_url: String,
client: Client,
}
impl QdrantClient {
pub fn new(base_url: String) -> Self {
Self {
base_url,
client: Client::new(),
}
}
/// Check if collection exists
pub async fn collection_exists(
&self,
collection_name: &str,
) -> Result<bool, Box<dyn Error + Send + Sync>> {
let url = format!("{}/collections/{}", self.base_url, collection_name);
debug!("Checking if collection exists: {}", collection_name);
let response = self.client.get(&url).send().await?;
Ok(response.status().is_success())
}
/// Create a new collection
pub async fn create_collection(
&self,
collection_name: &str,
vector_size: usize,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let url = format!("{}/collections/{}", self.base_url, collection_name);
info!(
"Creating Qdrant collection: {} with vector size {}",
collection_name, vector_size
);
let request = CreateCollectionRequest {
vectors: VectorParams {
size: vector_size,
distance: "Cosine".to_string(),
},
};
let response = self.client.put(&url).json(&request).send().await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Failed to create collection: {}", error_text);
return Err(format!("Failed to create collection: {}", error_text).into());
}
info!("Collection created successfully: {}", collection_name);
Ok(())
}
/// Delete a collection
pub async fn delete_collection(
&self,
collection_name: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let url = format!("{}/collections/{}", self.base_url, collection_name);
info!("Deleting Qdrant collection: {}", collection_name);
let response = self.client.delete(&url).send().await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Failed to delete collection: {}", error_text);
return Err(format!("Failed to delete collection: {}", error_text).into());
}
info!("Collection deleted successfully: {}", collection_name);
Ok(())
}
/// Upsert points (documents) into collection
pub async fn upsert_points(
&self,
collection_name: &str,
points: Vec<QdrantPoint>,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let url = format!("{}/collections/{}/points", self.base_url, collection_name);
debug!(
"Upserting {} points to collection: {}",
points.len(),
collection_name
);
let request = UpsertRequest { points };
let response = self.client.put(&url).json(&request).send().await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Failed to upsert points: {}", error_text);
return Err(format!("Failed to upsert points: {}", error_text).into());
}
debug!("Points upserted successfully");
Ok(())
}
/// Search for similar vectors
pub async fn search(
&self,
collection_name: &str,
query_vector: Vec<f32>,
limit: usize,
) -> Result<Vec<SearchResult>, Box<dyn Error + Send + Sync>> {
let url = format!(
"{}/collections/{}/points/search",
self.base_url, collection_name
);
debug!(
"Searching in collection: {} with limit {}",
collection_name, limit
);
let request = SearchRequest {
vector: query_vector,
limit,
with_payload: true,
with_vector: false,
};
let response = self.client.post(&url).json(&request).send().await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Search failed: {}", error_text);
return Err(format!("Search failed: {}", error_text).into());
}
let search_response: SearchResponse = response.json().await?;
debug!("Search returned {} results", search_response.result.len());
Ok(search_response.result)
}
/// Delete points by filter
pub async fn delete_points(
&self,
collection_name: &str,
point_ids: Vec<String>,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let url = format!(
"{}/collections/{}/points/delete",
self.base_url, collection_name
);
debug!(
"Deleting {} points from collection: {}",
point_ids.len(),
collection_name
);
let request = serde_json::json!({
"points": point_ids
});
let response = self.client.post(&url).json(&request).send().await?;
if !response.status().is_success() {
let error_text = response.text().await?;
error!("Failed to delete points: {}", error_text);
return Err(format!("Failed to delete points: {}", error_text).into());
}
debug!("Points deleted successfully");
Ok(())
}
}
/// Get Qdrant client from app state
pub fn get_qdrant_client(_state: &AppState) -> Result<QdrantClient, Box<dyn Error + Send + Sync>> {
let qdrant_url =
std::env::var("QDRANT_URL").unwrap_or_else(|_| "http://localhost:6333".to_string());
Ok(QdrantClient::new(qdrant_url))
}
/// Ensure a collection exists, create if not
pub async fn ensure_collection_exists(
state: &AppState,
collection_name: &str,
) -> Result<(), Box<dyn Error + Send + Sync>> {
let client = get_qdrant_client(state)?;
if !client.collection_exists(collection_name).await? {
info!("Collection {} does not exist, creating...", collection_name);
// Default vector size for embeddings (adjust based on your embedding model)
let vector_size = 1536; // OpenAI ada-002 size
client
.create_collection(collection_name, vector_size)
.await?;
} else {
debug!("Collection {} already exists", collection_name);
}
Ok(())
}
/// Search documents in a collection
pub async fn search_documents(
state: &AppState,
collection_name: &str,
query_embedding: Vec<f32>,
limit: usize,
) -> Result<Vec<SearchResult>, Box<dyn Error + Send + Sync>> {
let client = get_qdrant_client(state)?;
client.search(collection_name, query_embedding, limit).await
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_qdrant_client_creation() {
let client = QdrantClient::new("http://localhost:6333".to_string());
assert_eq!(client.base_url, "http://localhost:6333");
}
}

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use log::{debug, error, info};
use reqwest::Client;
use scraper::{Html, Selector};
use std::error::Error;
use std::time::Duration;
/// Web crawler for extracting content from web pages
pub struct WebCrawler {
client: Client,
}
impl WebCrawler {
/// Create a new web crawler
pub fn new() -> Self {
let client = Client::builder()
.timeout(Duration::from_secs(30))
.connect_timeout(Duration::from_secs(10))
.user_agent("Mozilla/5.0 (compatible; GeneralBots/1.0)")
.build()
.unwrap_or_else(|_| Client::new());
Self { client }
}
/// Validate if string is a valid HTTP(S) URL
pub fn is_valid_url(url: &str) -> bool {
url.starts_with("http://") || url.starts_with("https://")
}
/// Fetch website content via HTTP
pub async fn fetch_content(&self, url: &str) -> Result<String, Box<dyn Error + Send + Sync>> {
debug!("Fetching website content from: {}", url);
let response = self.client.get(url).send().await?;
if !response.status().is_success() {
return Err(format!("HTTP request failed with status: {}", response.status()).into());
}
let content_type = response
.headers()
.get("content-type")
.and_then(|v| v.to_str().ok())
.unwrap_or("");
if !content_type.contains("text/html") && !content_type.contains("application/xhtml") {
return Err(format!("URL does not return HTML content: {}", content_type).into());
}
let html_content = response.text().await?;
debug!("Fetched {} bytes of HTML content", html_content.len());
Ok(html_content)
}
/// Extract readable text from HTML
pub fn extract_text_from_html(
&self,
html: &str,
) -> Result<String, Box<dyn Error + Send + Sync>> {
let document = Html::parse_document(html);
let mut text_parts = Vec::new();
// Extract title
let title_selector = Selector::parse("title").unwrap();
if let Some(title_element) = document.select(&title_selector).next() {
let title = title_element.text().collect::<String>();
if !title.trim().is_empty() {
text_parts.push(format!("Title: {}\n", title.trim()));
}
}
// Extract meta description
let meta_selector = Selector::parse("meta[name='description']").unwrap();
if let Some(meta) = document.select(&meta_selector).next() {
if let Some(description) = meta.value().attr("content") {
if !description.trim().is_empty() {
text_parts.push(format!("Description: {}\n", description.trim()));
}
}
}
// Extract body content
let body_selector = Selector::parse("body").unwrap();
if let Some(body) = document.select(&body_selector).next() {
self.extract_text_recursive(&body, &mut text_parts);
} else {
// Fallback: extract from entire document
for node in document.root_element().descendants() {
if let Some(text) = node.value().as_text() {
let cleaned = text.trim();
if !cleaned.is_empty() {
text_parts.push(cleaned.to_string());
}
}
}
}
let combined_text = text_parts.join("\n");
// Clean up excessive whitespace
let cleaned = combined_text
.lines()
.map(|line| line.trim())
.filter(|line| !line.is_empty())
.collect::<Vec<_>>()
.join("\n");
if cleaned.is_empty() {
return Err("Failed to extract text from HTML".into());
}
Ok(cleaned)
}
/// Recursively extract text from HTML element tree
fn extract_text_recursive(&self, element: &scraper::ElementRef, text_parts: &mut Vec<String>) {
// Skip excluded elements (script, style, etc.)
let excluded = ["script", "style", "noscript", "iframe", "svg"];
if excluded.contains(&element.value().name()) {
return;
}
for child in element.children() {
if let Some(text) = child.value().as_text() {
let cleaned = text.trim();
if !cleaned.is_empty() {
text_parts.push(cleaned.to_string());
}
} else if child.value().as_element().is_some() {
if let Some(child_ref) = scraper::ElementRef::wrap(child) {
self.extract_text_recursive(&child_ref, text_parts);
}
}
}
}
/// Crawl a URL and return extracted text
pub async fn crawl(&self, url: &str) -> Result<String, Box<dyn Error + Send + Sync>> {
info!("Crawling website: {}", url);
if !Self::is_valid_url(url) {
return Err("Invalid URL format".into());
}
let html_content = self.fetch_content(url).await?;
let text_content = self.extract_text_from_html(&html_content)?;
if text_content.trim().is_empty() {
return Err("No text content found on website".into());
}
info!(
"Successfully crawled website: {} ({} characters)",
url,
text_content.len()
);
Ok(text_content)
}
}
impl Default for WebCrawler {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_is_valid_url() {
assert!(WebCrawler::is_valid_url("https://example.com"));
assert!(WebCrawler::is_valid_url("http://example.com"));
assert!(WebCrawler::is_valid_url("https://example.com/path?query=1"));
assert!(!WebCrawler::is_valid_url("ftp://example.com"));
assert!(!WebCrawler::is_valid_url("example.com"));
assert!(!WebCrawler::is_valid_url("//example.com"));
assert!(!WebCrawler::is_valid_url("file:///etc/passwd"));
}
#[test]
fn test_extract_text_from_html() {
let crawler = WebCrawler::new();
let html = r#"
<!DOCTYPE html>
<html>
<head>
<title>Test Page</title>
<meta name="description" content="This is a test page">
<style>body { color: red; }</style>
<script>console.log('test');</script>
</head>
<body>
<h1>Welcome</h1>
<p>This is a paragraph.</p>
<div>
<span>Nested content</span>
</div>
</body>
</html>
"#;
let result = crawler.extract_text_from_html(html).unwrap();
assert!(result.contains("Title: Test Page"));
assert!(result.contains("Description: This is a test page"));
assert!(result.contains("Welcome"));
assert!(result.contains("This is a paragraph"));
assert!(result.contains("Nested content"));
assert!(!result.contains("console.log"));
assert!(!result.contains("color: red"));
}
#[test]
fn test_extract_text_empty_html() {
let crawler = WebCrawler::new();
let html = "<html><body></body></html>";
let result = crawler.extract_text_from_html(html);
assert!(result.is_err());
}
}