* feat: Implement multi-tenant architecture with tenant and knowledge base models - Added data models for tenants, knowledge bases, and related configurations. - Introduced role and permission management for users in the multi-tenant system. - Created a service layer for managing tenants and knowledge bases, including CRUD operations. - Developed a tenant-aware instance manager for LightRAG with caching and isolation features. - Added a migration script to transition existing workspace-based deployments to the new multi-tenant architecture. * chore: ignore lightrag/api/webui/assets/ directory * chore: stop tracking lightrag/api/webui/assets (ignore in .gitignore) * feat: Initialize LightRAG Multi-Tenant Stack with PostgreSQL - Added README.md for project overview, setup instructions, and architecture details. - Created docker-compose.yml to define services: PostgreSQL, Redis, LightRAG API, and Web UI. - Introduced env.example for environment variable configuration. - Implemented init-postgres.sql for PostgreSQL schema initialization with multi-tenant support. - Added reproduce_issue.py for testing default tenant access via API. * feat: Enhance TenantSelector and update related components for improved multi-tenant support * feat: Enhance testing capabilities and update documentation - Updated Makefile to include new test commands for various modes (compatibility, isolation, multi-tenant, security, coverage, and dry-run). - Modified API health check endpoint in Makefile to reflect new port configuration. - Updated QUICK_START.md and README.md to reflect changes in service URLs and ports. - Added environment variables for testing modes in env.example. - Introduced run_all_tests.sh script to automate testing across different modes. - Created conftest.py for pytest configuration, including database fixtures and mock services. - Implemented database helper functions for streamlined database operations in tests. - Added test collection hooks to skip tests based on the current MULTITENANT_MODE. * feat: Implement multi-tenant support with demo mode enabled by default - Added multi-tenant configuration to the environment and Docker setup. - Created pre-configured demo tenants (acme-corp and techstart) for testing. - Updated API endpoints to support tenant-specific data access. - Enhanced Makefile commands for better service management and database operations. - Introduced user-tenant membership system with role-based access control. - Added comprehensive documentation for multi-tenant setup and usage. - Fixed issues with document visibility in multi-tenant environments. - Implemented necessary database migrations for user memberships and legacy support. * feat(audit): Add final audit report for multi-tenant implementation - Documented overall assessment, architecture overview, test results, security findings, and recommendations. - Included detailed findings on critical security issues and architectural concerns. fix(security): Implement security fixes based on audit findings - Removed global RAG fallback and enforced strict tenant context. - Configured super-admin access and required user authentication for tenant access. - Cleared localStorage on logout and improved error handling in WebUI. chore(logs): Create task logs for audit and security fixes implementation - Documented actions, decisions, and next steps for both audit and security fixes. - Summarized test results and remaining recommendations. chore(scripts): Enhance development stack management scripts - Added scripts for cleaning, starting, and stopping the development stack. - Improved output messages and ensured graceful shutdown of services. feat(starter): Initialize PostgreSQL with AGE extension support - Created initialization scripts for PostgreSQL extensions including uuid-ossp, vector, and AGE. - Ensured successful installation and verification of extensions. * feat: Implement auto-select for first tenant and KB on initial load in WebUI - Removed WEBUI_INITIAL_STATE_FIX.md as the issue is resolved. - Added useTenantInitialization hook to automatically select the first available tenant and KB on app load. - Integrated the new hook into the Root component of the WebUI. - Updated RetrievalTesting component to ensure a KB is selected before allowing user interaction. - Created end-to-end tests for multi-tenant isolation and real service interactions. - Added scripts for starting, stopping, and cleaning the development stack. - Enhanced API and tenant routes to support tenant-specific pipeline status initialization. - Updated constants for backend URL to reflect the correct port. - Improved error handling and logging in various components. * feat: Add multi-tenant support with enhanced E2E testing scripts and client functionality * update client * Add integration and unit tests for multi-tenant API, models, security, and storage - Implement integration tests for tenant and knowledge base management endpoints in `test_tenant_api_routes.py`. - Create unit tests for tenant isolation, model validation, and role permissions in `test_tenant_models.py`. - Add security tests to enforce role-based permissions and context validation in `test_tenant_security.py`. - Develop tests for tenant-aware storage operations and context isolation in `test_tenant_storage_phase3.py`. * feat(e2e): Implement OpenAI model support and database reset functionality * Add comprehensive test suite for gpt-5-nano compatibility - Introduced tests for parameter normalization, embeddings, and entity extraction. - Implemented direct API testing for gpt-5-nano. - Validated .env configuration loading and OpenAI API connectivity. - Analyzed reasoning token overhead with various token limits. - Documented test procedures and expected outcomes in README files. - Ensured all tests pass for production readiness. * kg(postgres_impl): ensure AGE extension is loaded in session and configure graph initialization * dev: add hybrid dev helper scripts, Makefile, docker-compose.dev-db and local development docs * feat(dev): add dev helper scripts and local development documentation for hybrid setup * feat(multi-tenant): add detailed specifications and logs for multi-tenant improvements, including UX, backend handling, and ingestion pipeline * feat(migration): add generated tenant/kb columns, indexes, triggers; drop unused tables; update schema and docs * test(backward-compat): adapt tests to new StorageNameSpace/TenantService APIs (use concrete dummy storages) * chore: multi-tenant and UX updates — docs, webui, storage, tenant service adjustments * tests: stabilize integration tests + skip external services; fix multi-tenant API behavior and idempotency - gpt5_nano_compatibility: add pytest-asyncio markers, skip when OPENAI key missing, prevent module-level asyncio.run collection, add conftest - Ollama tests: add server availability check and skip markers; avoid pytest collection warnings by renaming helper classes - Graph storage tests: rename interactive test functions to avoid pytest collection - Document & Tenant routes: support external_ids for idempotency; ensure HTTPExceptions are re-raised - LightRAG core: support external_ids in apipeline_enqueue_documents and idempotent logic - Tests updated to match API changes (tenant routes & document routes) - Add logs and scripts for inspection and audit
112 lines
3.6 KiB
Python
112 lines
3.6 KiB
Python
# MongoDB Multi-Tenant Support Module
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from typing import Any, Dict, List, Tuple
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class MongoTenantHelper:
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"""Helper class for MongoDB multi-tenant operations"""
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@staticmethod
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def add_tenant_fields(data: Dict[str, Any], tenant_id: str, kb_id: str) -> Dict[str, Any]:
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"""Add tenant_id and kb_id fields to a document"""
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data["tenant_id"] = tenant_id
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data["kb_id"] = kb_id
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return data
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@staticmethod
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def get_tenant_filter(tenant_id: str, kb_id: str, additional_filter: Dict = None) -> Dict:
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"""Build a MongoDB filter for tenant and KB"""
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filter_dict = {
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"tenant_id": tenant_id,
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"kb_id": kb_id
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}
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if additional_filter:
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filter_dict.update(additional_filter)
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return filter_dict
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@staticmethod
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def create_tenant_indexes(collection_name: str) -> List[Dict[str, str]]:
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"""Get recommended indexes for tenant isolation"""
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return [
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{
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"name": f"idx_{collection_name}_tenant_kb",
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"keys": [("tenant_id", 1), ("kb_id", 1)]
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},
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{
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"name": f"idx_{collection_name}_tenant_kb_id",
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"keys": [("tenant_id", 1), ("kb_id", 1), ("_id", 1)]
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},
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]
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@staticmethod
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def build_upsert_with_tenant(
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filter_dict: Dict,
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update_dict: Dict,
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tenant_id: str,
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kb_id: str
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) -> Tuple[Dict, Dict]:
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"""Build filter and update dictionaries for upsert operations"""
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filter_dict["tenant_id"] = tenant_id
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filter_dict["kb_id"] = kb_id
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update_dict["$set"]["tenant_id"] = tenant_id
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update_dict["$set"]["kb_id"] = kb_id
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return filter_dict, update_dict
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# ============================================================================
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# MIGRATION HELPER FOR EXISTING MONGODB COLLECTIONS
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# ============================================================================
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async def add_tenant_fields_to_collection(
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db,
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collection_name: str,
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default_tenant_id: str = "default",
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default_kb_id: str = "default"
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):
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"""
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Add tenant_id and kb_id fields to existing MongoDB collection.
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This is a one-time migration operation that adds the new fields
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to all documents in the collection with default values.
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"""
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collection = db[collection_name]
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# Check if any document already has tenant_id field
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sample = await collection.find_one({"tenant_id": {"$exists": True}})
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if not sample:
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# Perform bulk update to add tenant fields to all documents
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result = await collection.update_many(
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{"tenant_id": {"$exists": False}},
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{
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"$set": {
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"tenant_id": default_tenant_id,
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"kb_id": default_kb_id
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}
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}
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)
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return {
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"modified": result.modified_count,
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"status": "migration_completed"
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}
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else:
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return {"status": "already_migrated"}
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async def create_tenant_indexes_on_collection(db, collection_name: str):
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"""Create multi-tenant indexes on a MongoDB collection"""
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collection = db[collection_name]
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# Create indexes
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indexes = MongoTenantHelper.create_tenant_indexes(collection_name)
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for index in indexes:
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try:
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await collection.create_index(
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index["keys"],
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name=index["name"],
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background=True
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)
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except Exception as e:
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print(f"Warning: Could not create index {index['name']}: {e}")
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