* 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
275 lines
7.9 KiB
Markdown
275 lines
7.9 KiB
Markdown
# E2E Multi-Tenant Isolation Tests
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This directory contains end-to-end tests to verify the isolation of data and processing pipelines in the multi-tenant LightRAG implementation.
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## Quick Start
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```bash
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# Run all tests with file backend (default)
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./e2e/run_tests.sh
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# Interactive mode - guided test selection
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./e2e/run_tests.sh -i
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# Show help
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./e2e/run_tests.sh --help
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```
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## Test Runner Features
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The enhanced test runner (`run_tests.sh`) provides:
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- 🎮 **Interactive Mode**: Menu-driven selection of backends and tests
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- 💾 **Multiple Backends**: Support for `file`, `postgres`, or `all` backends
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- 🧪 **Test Selection**: Run specific tests or all tests
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- 🔍 **Dry Run**: Preview configuration without executing
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- 📊 **Verbose/Quiet Modes**: Control output verbosity
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- 🎨 **Colored Output**: Easy-to-read results with emojis
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## Available Tests
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| Test | File | Description |
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|------|------|-------------|
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| `isolation` | `test_multitenant_isolation.py` | Tests data isolation between tenants |
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| `deletion` | `test_deletion.py` | Tests document deletion and cleanup |
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| `mixed` | `test_mixed_operations.py` | Tests interleaved tenant operations |
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## Available Backends
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| Backend | Description |
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|---------|-------------|
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| `file` | File-based storage (JSON, NetworkX, NanoVectorDB) - Default |
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| `postgres` | PostgreSQL with pgvector for production storage |
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| `all` | Run tests on both backends |
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## Usage Examples
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### Basic Usage
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```bash
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# Run all tests with file backend (default)
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./e2e/run_tests.sh
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# Run all tests with PostgreSQL backend
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./e2e/run_tests.sh -b postgres
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# Run tests on all backends
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./e2e/run_tests.sh -b all
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# Run with OpenAI models (requires OPENAI_API_KEY)
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./e2e/run_tests.sh --openai
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# Reset database/storage before running tests
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./e2e/run_tests.sh --reset-db
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```
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### Test Selection
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```bash
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# Run only isolation test
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./e2e/run_tests.sh -t isolation
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# Run isolation and deletion tests
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./e2e/run_tests.sh -t isolation,deletion
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# Run specific test with postgres backend
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./e2e/run_tests.sh -b postgres -t isolation
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```
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### Interactive Mode
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```bash
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# Launch interactive menu
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./e2e/run_tests.sh -i
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```
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The interactive mode guides you through:
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1. Backend selection
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2. Test selection
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3. Advanced options (verbose, keep server)
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4. LLM model configuration
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### Preview Configuration
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```bash
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# Dry run to see configuration without executing
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./e2e/run_tests.sh --dry-run -b postgres -t isolation,deletion
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```
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### Custom Model Configuration
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```bash
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# Use OpenAI models (gpt-4o-mini + text-embedding-3-small)
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./e2e/run_tests.sh --openai
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# Use custom LLM model (Ollama)
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./e2e/run_tests.sh -m llama3.1:8b
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# Use custom embedding model (Ollama)
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./e2e/run_tests.sh -e nomic-embed-text:latest -d 768
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# Combined: OpenAI with reset and postgres backend
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./e2e/run_tests.sh --openai --reset-db -b postgres
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```
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### Server Management
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```bash
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# Keep server running after tests (for debugging)
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./e2e/run_tests.sh --keep-server
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# Skip server management (use existing server)
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./e2e/run_tests.sh --skip-server
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# Use custom port
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./e2e/run_tests.sh -p 8080
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```
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### Output Control
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```bash
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# Verbose output with debug info
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./e2e/run_tests.sh -v
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# Quiet mode (minimal output)
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./e2e/run_tests.sh -q
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# Show live server logs during test execution
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./e2e/run_tests.sh --logs
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# Full example with logs, OpenAI, reset, and postgres
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./e2e/run_tests.sh --openai --reset-db -b postgres --logs
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```
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### OpenAI Configuration
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```bash
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# Use OpenAI models (requires OPENAI_API_KEY environment variable)
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export OPENAI_API_KEY="sk-..."
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./e2e/run_tests.sh --openai
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# The --openai flag sets:
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# - LLM: gpt-5-nano (OpenAI's fast model)
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# - Embedding: text-embedding-3-small (1536 dimensions)
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```
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### Database Reset
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```bash
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# Reset storage before running tests (clean slate)
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./e2e/run_tests.sh --reset-db
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# For file backend: clears rag_storage/ directory
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# For postgres: Docker volume is removed and recreated
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# Combined with OpenAI for a fresh run
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./e2e/run_tests.sh --openai --reset-db -b postgres
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```
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## Command Line Options
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| Option | Description | Default |
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|--------|-------------|---------|
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| `-b, --backend` | Storage backend (file, postgres, all) | `file` |
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| `-t, --tests` | Comma-separated test list | all |
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| `-m, --llm-model` | LLM model name | `gpt-oss:20b` |
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| `--llm-binding` | LLM binding type | `ollama` |
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| `-e, --embedding-model` | Embedding model | `bge-m3:latest` |
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| `--embedding-binding` | Embedding binding type | `ollama` |
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| `-d, --dim` | Embedding dimension | `1024` |
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| `-p, --port` | Server port | `9621` |
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| `-i, --interactive` | Interactive mode | - |
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| `-v, --verbose` | Verbose output | - |
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| `-q, --quiet` | Quiet mode | - |
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| `--dry-run` | Preview without executing | - |
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| `--skip-server` | Don't manage server | - |
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| `--keep-server` | Keep server running | - |
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| `-l, --list` | List tests and backends | - |
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| `--openai` | Use OpenAI models (gpt-5-nano + text-embedding-3-small) | - |
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| `--reset-db` | Reset database/storage before tests | - |
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| `--skip-docker` | Don't manage Docker containers | - |
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| `--keep-docker` | Keep Docker containers running | - |
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| `--logs` | Show live server logs during tests | - |
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| `-h, --help` | Show help | - |
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| `--version` | Show version | - |
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## Environment Variables
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| Variable | Description | Default |
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|----------|-------------|---------|
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| `OPENAI_API_KEY` | OpenAI API key (required for --openai) | - |
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| `LIGHTRAG_API_URL` | API URL | `http://localhost:9621` |
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| `AUTH_USER` | Admin username | `admin` |
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| `AUTH_PASS` | Admin password | `admin123` |
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| `POSTGRES_HOST` | PostgreSQL host | `localhost` |
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| `POSTGRES_PORT` | PostgreSQL port | `5432` |
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| `POSTGRES_USER` | PostgreSQL user | `lightrag` |
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| `POSTGRES_PASSWORD` | PostgreSQL password | - |
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| `POSTGRES_DATABASE` | PostgreSQL database | `lightrag_multitenant` |
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## Test Details
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### Multi-Tenant Isolation Test (`isolation`)
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Tests data isolation between tenants:
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1. Creates two distinct tenants (Tenant A and Tenant B)
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2. Creates a Knowledge Base (KB) for each tenant
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3. Ingests a unique "secret" document into each tenant's KB
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4. Waits for indexing to complete
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5. Verifies that Tenant A can retrieve its secret but **not** Tenant B's secret
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6. Verifies that Tenant B can retrieve its secret but **not** Tenant A's secret
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### Document Deletion Test (`deletion`)
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Tests document deletion functionality:
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1. Creates a tenant and knowledge base
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2. Ingests two documents
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3. Verifies both documents are queryable
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4. Deletes one document
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5. Verifies deleted document is no longer retrievable
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6. Verifies the other document still exists
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### Mixed Operations Test (`mixed`)
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Tests interleaved operations across tenants:
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1. Creates two tenants with separate KBs
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2. Performs interleaved ingestion operations
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3. Verifies cross-tenant isolation during concurrent operations
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4. Tests deletion in one tenant doesn't affect the other
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5. Verifies data integrity throughout
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## Prerequisites
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- Python 3.10+
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- `requests` library installed (`pip install requests`)
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- LightRAG installed in the environment
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- **Ollama** running locally (or configured via environment variables)
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- For PostgreSQL tests: PostgreSQL with pgvector extension
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## Exit Codes
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| Code | Meaning |
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|------|---------|
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| `0` | All tests passed |
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| `1` | One or more tests failed |
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| `2` | Configuration or setup error |
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## Troubleshooting
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### Server Issues
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- Check `server.log` in the project root if the server fails to start
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- Use `--verbose` flag to see detailed server startup logs
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- Try `--keep-server` to inspect server state after tests
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### Timeout Issues
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- If indexing takes too long, check if LLM/Embedding service is responsive
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- Increase timeout by modifying `SERVER_TIMEOUT` in the script
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### PostgreSQL Issues
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- Ensure PostgreSQL is running with pgvector extension
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- Verify connection settings in environment variables
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- Check that the database exists and user has proper permissions
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## Legacy Script
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The original `run_isolation_test.sh` is still available for backward compatibility but `run_tests.sh` is recommended for new usage.
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