mirror of
https://github.com/langbot-app/LangBot.git
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Feat/test build (#2174)
* fix(ci): update unit-test workflow paths to match current source layout Replace stale pkg/** filter with src/langbot/** and add uv.lock. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs(tests): update README to reflect current test layout - Fix stale paths: tests/pipeline → tests/unit_tests/pipeline - Update CI Python versions: 3.11, 3.12, 3.13 - Add test directory structure for box, config, platform, plugin, provider, storage - Document pytest markers and uv commands - Mention planned E2E tests Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add shared test factories package Create tests/factories/ with reusable test factories: - FakeApp: mock application with all dependencies - Message chains: text_chain, mention_chain, image_chain - Query factories: text_query, group_text_query, command_query, etc. No test changes - maintains backward compatibility. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add fake provider factory Add tests/factories/provider.py with: - FakeProvider: deterministic fake LLM provider - Error simulation: timeout, auth, rate-limit, malformed - Request capture for assertions - fake_model: mock model with attached provider Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add fake platform factory Add tests/factories/platform.py with: - FakePlatform: simulated platform adapter - Inbound message construction: friend/group/image - Mention-bot flag simulation - Outbound message capture for assertions - Streaming output support simulation - Send failure simulation Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add comprehensive message/query factories Extend tests/factories/message.py with: - file_query: file attachment query - unsupported_query: unknown message segment - voice_query: audio/voice query - at_all_query: group @All mention - query_with_session: query with session object - query_with_config: query with custom pipeline config Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add fake message flow smoke test Create tests/smoke/test_fake_message_flow.py: - TestFakeMessageFlow: factory verification tests - TestMessageFlowIntegration: minimal flow smoke test - Tests FakeApp, FakeProvider, FakePlatform, query factories - Verifies LANGBOT_FAKE_PONG marker response - Captures outbound messages for assertions Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add developer test-quick command Add scripts/test-quick.sh and Makefile with: - test-quick: runs ruff check + unit tests + smoke tests - No real provider keys or platform accounts required - Suitable for local branch self-test Update tests/README.md: - Document test-quick command - Document test factories package - Add smoke tests and factories directory structure Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(test): make test-quick reliable as developer gate Fixes for D-001验收问题: 1. test-quick.sh: use set -euo pipefail, uv run ruff, no tail pipe 2. Remove unused imports in factories (app.py, platform.py, provider.py) 3. Fix unused variable in smoke test 4. Add noqa: E402 to test_n8nsvapi.py lazy imports 5. Update smoke test docs: "minimal fake flow" not full pipeline Now test-quick is a reliable gate: lint failures exit 1, test failures propagate. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(unit): add preproc and taskmgr unit tests U-001: Pipeline Preprocessor tests - Normal text message processing - Empty message handling - Image segment with/without vision model - Model selection and fallback - Variable extraction U-004: Core Task Manager tests (pattern-based) - Task creation and tracking patterns - Task cancellation patterns - Scope-based cancellation - Task type filtering - Pruning completed tasks - Wait all tasks Taskmgr tests use pattern-based approach to avoid circular import in source code (taskmgr → app → http_controller → migration → taskmgr). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(unit): add config loader unit tests U-005: Config Loader tests - Valid YAML config loading - Valid JSON config loading - Invalid YAML/JSON error behavior - Missing config file creation from template - Template completion for missing keys - ConfigManager load/dump operations - Exists check for both YAML and JSON All tests use tmp_path fixture, no real project config. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(unit): add chat and command handler pattern tests U-002: Chat Handler tests (pattern-based) - Normal message event emission pattern - prevent_default handling - User message alteration pattern - Runner selection pattern - Streaming/non-streaming response patterns - Exception handling modes (show-error, show-hint, hide) - Message history update pattern - Telemetry payload pattern U-003: Command Handler tests (pattern-based) - Command parsing and text extraction - Event creation pattern - Privilege/admin check pattern - Command result handling (text, error, image) - prevent_default handling - String truncation helper Uses pattern-based testing to avoid circular import issues in source code. Direct imports of handler modules trigger circular import chain. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * style: fix unused imports after ruff auto-fix Remove unused imports in test files: - test_config_loader.py: remove unused os - test_taskmgr.py: remove unused Mock - test_preproc.py: remove unused unsupported_query, image_chain Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(unit): improve taskmgr tests to test real classes U-004 improved: Tests now import and test actual classes: - TaskContext: new(), trace(), to_dict(), placeholder() - TaskWrapper: task creation, context, exception/result capture, cancel, to_dict - AsyncTaskManager: create_task, create_user_task, cancel_task, cancel_by_scope - Task pruning behavior Uses pre-mocking technique: - Mock langbot.pkg.core.app before import (breaks circular chain) - Mock langbot.pkg.core.entities with proper Enum All 24 tests now test real class behavior, not patterns. taskmgr.py coverage should improve significantly. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(test): consolidate FakeApp and add sys.modules isolation utility - Extract tests/utils/import_isolation.py with isolated_sys_modules context manager - Extend tests/factories/app.py FakeApp with handler-specific attributes - Refactor test_chat_handler.py to use centralized FakeApp and cached imports - Refactor test_command_handler.py with mock_execute_factory fixture - Refactor test_smoke.py to move import-time sys.modules manipulation into fixture - Add SQLite migration integration tests (G-002) - Add HTTP API smoke integration tests (G-005) - Update CI workflow to call pytest for SQLite migrations (G-004) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add developer quality gate consolidation (G-007) - Add scripts/test-integration-fast.sh for fast integration tests - Add scripts/test-coverage.sh with 12% baseline threshold - Update Makefile with test-integration-fast, test-coverage, test-all-local - Update CI workflow with integration and coverage jobs - Add smoke marker to pytest.ini - Update tests/README.md with quality gate layers documentation - Add tests/integration/pipeline/ for pipeline stage-chain tests Quality gate layers: - Quick: ruff + unit + smoke (~2 min) - Fast Integration: SQLite/API/Pipeline (~3 min) - Coverage: 12% threshold gate (~8 min) - Full Local: all three combined Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): add PostgreSQL migration slow integration tests (G-003) - Add tests/integration/persistence/test_migrations_postgres.py - All tests marked with @pytest.mark.slow - Tests skip when TEST_POSTGRES_URL is not set (no local PostgreSQL) - Database isolation via clean_tables and clean_alembic_version fixtures - Update CI workflow to use pytest instead of inline Python script - Remove TODO(G-003) comment - Update tests/README.md with PostgreSQL test documentation Covered scenarios: - Baseline stamp sets revision - Upgrade from baseline to head - Upgrade idempotent - Get current on unstamped DB returns None Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(test): Phase 1.5 coverage expansion - COV-001 to COV-013 Coverage baseline raised from 13.65% to 26% (+12.35%) Gate raised from 12% to 18% Tasks completed: - COV-001: Command system unit tests (100% coverage) - COV-002: API service unit tests batch 1 (user/apikey/model/provider) - COV-003: Provider model manager unit tests - COV-004: Pipeline remaining stage tests (aggregator/cntfilter/longtext/msgtrun) - COV-005: Storage and utils coverage pass - COV-006: Gate ratchet 12%→15% - COV-007: Gate ratchet 15%→18% - COV-008: API service batch 2 (bot/pipeline/webhook/space/maintenance/mcp) - COV-009: Blocked - API controller circular import issue documented - COV-010: Plugin runtime unit tests (+0.08%) - COV-011: RAG and vector unit tests (+0.68%) - COV-012: Core boot and migration unit tests - COV-013: Provider requester logic unit tests (+0.62%) Key additions: - tests/utils/import_isolation.py: sys.modules isolation for circular imports - Provider requester mock tests: proved HTTP-dependent code can be tested locally - Vector filter utilities: 100% coverage on pure functions - API services: fake persistence pattern for unit testing Blocked issue COV-009 documented in langbot-test-plan/1.5/issues/ Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(phase1): add unit tests for telemetry, plugin, rag, persistence Add initial unit tests for Phase 1 of test coverage improvement: - telemetry: test initialization, payload sanitization, early returns (14.3% → 62.9%) - plugin: test _parse_plugin_id static method - rag: test _to_i18n_name static method - persistence: test serialize_model with datetime handling Overall core coverage: 41.9% → 42.2% Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(phase2): add unit tests for core, persistence, plugin, utils - Add test_handler_helpers.py for plugin handler helpers (7 tests) - Add test_mgr_methods.py for persistence manager (5 tests) - Add test_app_config_validation.py for core app config (12 tests) - Add test_knowledge_service.py for API knowledge service (22 tests) - Add test_kbmgr.py for RAG knowledge base manager (39 tests) - Add test_survey_manager.py for survey manager (22 tests) - Add test_connector_methods.py for plugin connector (24 tests) - Add test_funcschema.py for utils function schema (9 tests) - Add test_platform.py for utils platform detection (7 tests) - Add test_extract_deps.py for plugin deps extraction (7 tests) - Add test_database_decorator.py for persistence decorator (7 tests) - Add test_load_config.py for core config loading (19 tests) - Add COVERAGE_EXCLUSIONS.md documenting external adapter exclusions - Fix test_chat_session_limit.py path for portability Coverage: core 28% → 30%, persistence 24% → 24.4%, plugin 27% → 28% Total: 1082 tests passed, core module coverage 45.5% Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(integration): add API controller integration tests - Add test_pipelines.py (10 tests) covering pipelines CRUD operations - GET/POST/PUT/DELETE on /api/v1/pipelines - Extensions endpoint - Metadata endpoint - Coverage: pipelines controller 27% → 80% - Add test_providers.py (10 tests) covering provider/model management - Provider CRUD with model counts - LLM model CRUD - Coverage: providers controller 23% → 81%, models 29% → 45% Tests use Quart TestClient with mocked services for real HTTP behavior without external dependencies. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(integration): add knowledge, bots, and model endpoints tests - Add test_knowledge.py (10 tests) covering knowledge base management - CRUD operations on /api/v1/knowledge/bases - Files management endpoints - Retrieve endpoint with validation - Coverage: knowledge/base.py 26% → 91% - Add test_bots.py (9 tests) covering bot management - CRUD operations on /api/v1/platform/bots - Logs endpoint - Send message endpoint with validation - Coverage: platform/bots.py 24% → 87% - Extend test_providers.py (+4 tests) for embedding/rerank models - Embedding models CRUD - Rerank models CRUD - Coverage: provider/models.py 29% → 60% Total integration tests: 53 (smoke 12 + pipelines 10 + providers 14 + knowledge 10 + bots 9) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(integration): add embed and monitoring endpoint tests Add integration tests for embed widget and monitoring API endpoints: - test_embed.py: 15 tests for widget.js, logo, turnstile, messages, reset, feedback - test_monitoring.py: 15 tests for overview, messages, llm-calls, sessions, errors, export Coverage improvements: - embed.py: 17% → 56% - monitoring.py: 17% → 93% Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(e2e): add minimal startup E2E tests Add E2E tests for LangBot startup flow: - tests/e2e/utils/config_factory.py: minimal config generation - tests/e2e/utils/process_manager.py: LangBot subprocess management - tests/e2e/conftest.py: E2E fixtures (session-scoped process) - tests/e2e/test_startup.py: 12 tests for startup verification Tests verify: - boot.py + stages execution - database initialization (SQLite) - API availability - migrations applied Uses embedded databases (SQLite, Chroma) - no external dependencies. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(quality): fix fake tests and add missing coverage P0 fixes: - telemetry: rewrite fake tests with real behavior verification (25 tests) - config: delete copied-source tests, use proper imports (2 deleted) - persistence: fix try-except pass to verify specific errors P1 fixes: - pipeline: add real FixedWindowAlgo tests instead of mocks (12 tests) - provider: add SessionManager and ToolManager tests (25 tests) - storage: add S3StorageProvider tests with moto mock (16 tests) - plugin: add handler action tests for setting inheritance (15 tests) - rag: add file storage and ZIP processing tests (21 tests) - vector: add VDB filter conversion tests (30 tests) P2 fixes: - pipeline/msgtrun: strengthen assertions for exact message count - api: add response structure validation in integration tests New test files: - provider/test_session_manager.py - provider/test_tool_manager.py - storage/test_s3storage.py - plugin/test_handler_actions.py - rag/test_file_storage.py - vector/test_vdb_filter_conversion.py Source code bugs documented: - provider: TokenManager.next_token() ZeroDivisionError - telemetry: send_tasks class variable shared state - command: empty command IndexError, unused parameters - utils: funcschema KeyError - entity: vector.py independent declarative_base Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs(test): update coverage stats and test structure - Update coverage from 22% to 30% - Add new test files to structure: - provider: session_manager, tool_manager - storage: s3storage - plugin: handler_actions - rag: file_storage - vector: vdb_filter_conversion - telemetry: rewritten tests - Update module coverage percentages Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test: add 105 new unit tests for untested core functionality Add comprehensive tests for B-class issues (core functionality untested): Pipeline: - test_pool.py: QueryPool ID generation, caching, async context (12 tests) - test_ratelimit.py: Fixed timing-sensitive test tolerance - test_pipelinemgr.py: Use real Pydantic StageProcessResult instead of Mock Utils: - test_version.py: Version comparison functions (20 tests) - test_logcache.py: Log page management and retrieval (18 tests) - test_httpclient.py: HTTP session pool management (10 tests) - test_proxy.py: Proxy configuration from env and config (10 tests) - test_image.py: URL parsing and base64 extraction (12 tests) - test_pkgmgr.py: Pip command generation (8 tests) Discover: - test_engine.py: I18nString, Metadata, Component manifest (15 tests) Test count: 1193 → 1298 (+105 tests) Note: Some B-class issues cannot be tested due to circular import bugs filed as GitHub issues #2175 (pipeline) and #2176 (persistence). * test: tighten phase 1 coverage contracts * test: align ci integration isolation --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
huanghuoguoguo
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"""Tests for AnthropicMessages requester.
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Tests config and pure utility methods.
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"""
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from __future__ import annotations
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from unittest.mock import MagicMock
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class TestAnthropicMessagesConfig:
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"""Tests for default config."""
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def test_default_config_values(self):
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"""Check default_config."""
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from langbot.pkg.provider.modelmgr.requesters.anthropicmsgs import AnthropicMessages
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assert AnthropicMessages.default_config['base_url'] == 'https://api.anthropic.com'
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assert AnthropicMessages.default_config['timeout'] == 120
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def test_config_override(self):
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"""Config can override defaults."""
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from langbot.pkg.provider.modelmgr.requesters.anthropicmsgs import AnthropicMessages
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mock_app = MagicMock()
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req = AnthropicMessages(mock_app, {
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'base_url': 'https://custom.anthropic.com',
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'timeout': 60,
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})
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assert req.requester_cfg['base_url'] == 'https://custom.anthropic.com'
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assert req.requester_cfg['timeout'] == 60
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@@ -0,0 +1,247 @@
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"""Tests for requester error handling - direct import version.
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Tests error handling branches by importing real packages and mocking
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only the necessary dependencies.
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"""
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from __future__ import annotations
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import asyncio
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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import openai # Import real openai package
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from langbot.pkg.provider.modelmgr.errors import RequesterError
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class TestInvokeLLMErrorHandling:
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"""Tests for invoke_llm error handling branches."""
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@pytest.fixture
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def mock_app(self):
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"""Create mock Application."""
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app = MagicMock()
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app.tool_mgr = MagicMock()
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app.tool_mgr.generate_tools_for_openai = AsyncMock(return_value=[])
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return app
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@pytest.fixture
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def mock_model(self):
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"""Create mock RuntimeLLMModel."""
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model = MagicMock()
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model.model_entity = MagicMock()
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model.model_entity.name = 'gpt-4'
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model.provider = MagicMock()
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model.provider.token_mgr = MagicMock()
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model.provider.token_mgr.get_token = MagicMock(return_value='test-key')
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return model
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@pytest.fixture
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def mock_message(self):
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"""Create mock provider message."""
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msg = MagicMock()
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msg.dict = MagicMock(return_value={'role': 'user', 'content': 'test'})
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return msg
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@pytest.fixture
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def requester_with_mocked_client(self, mock_app):
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"""Create requester with mocked OpenAI client."""
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from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
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req = OpenAIChatCompletions(mock_app, {
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'base_url': 'https://api.openai.com/v1',
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'timeout': 120,
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})
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# Replace client with mock
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req.client = MagicMock()
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req.client.chat = MagicMock()
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req.client.chat.completions = MagicMock()
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req.client.chat.completions.create = AsyncMock()
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return req
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@pytest.mark.asyncio
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async def test_timeout_error(self, requester_with_mocked_client, mock_model, mock_message):
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"""TimeoutError is wrapped as RequesterError."""
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requester_with_mocked_client.client.chat.completions.create = AsyncMock(
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side_effect=asyncio.TimeoutError()
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)
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with pytest.raises(RequesterError) as exc:
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await requester_with_mocked_client.invoke_llm(
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query=None,
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model=mock_model,
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messages=[mock_message],
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)
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assert '超时' in str(exc.value)
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@pytest.mark.asyncio
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async def test_bad_request_context_length(self, requester_with_mocked_client, mock_model, mock_message):
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"""BadRequestError with context_length_exceeded has special message."""
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error = openai.BadRequestError(
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message='context_length_exceeded: max 4096',
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response=MagicMock(status_code=400),
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body={}
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)
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requester_with_mocked_client.client.chat.completions.create = AsyncMock(
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side_effect=error
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)
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with pytest.raises(RequesterError) as exc:
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await requester_with_mocked_client.invoke_llm(
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query=None,
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model=mock_model,
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messages=[mock_message],
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)
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assert '上文过长' in str(exc.value)
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@pytest.mark.asyncio
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async def test_authentication_error(self, requester_with_mocked_client, mock_model, mock_message):
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"""AuthenticationError shows invalid api-key message."""
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error = openai.AuthenticationError(
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message='Invalid API key',
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response=MagicMock(status_code=401),
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body={}
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)
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requester_with_mocked_client.client.chat.completions.create = AsyncMock(
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side_effect=error
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)
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with pytest.raises(RequesterError) as exc:
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await requester_with_mocked_client.invoke_llm(
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query=None,
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model=mock_model,
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messages=[mock_message],
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)
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assert 'api-key' in str(exc.value).lower() or '无效' in str(exc.value)
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@pytest.mark.asyncio
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async def test_rate_limit_error(self, requester_with_mocked_client, mock_model, mock_message):
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"""RateLimitError shows rate limit message."""
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error = openai.RateLimitError(
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message='Rate limit exceeded',
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response=MagicMock(status_code=429),
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body={}
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)
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requester_with_mocked_client.client.chat.completions.create = AsyncMock(
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side_effect=error
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)
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with pytest.raises(RequesterError) as exc:
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await requester_with_mocked_client.invoke_llm(
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query=None,
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model=mock_model,
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messages=[mock_message],
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)
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assert '频繁' in str(exc.value) or '余额' in str(exc.value)
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class TestInvokeEmbeddingErrorHandling:
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"""Tests for invoke_embedding error handling."""
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@pytest.fixture
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def mock_app(self):
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return MagicMock()
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@pytest.fixture
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def mock_embedding_model(self):
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model = MagicMock()
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model.model_entity = MagicMock()
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model.model_entity.name = 'text-embedding-ada-002'
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model.model_entity.extra_args = {}
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model.provider = MagicMock()
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model.provider.token_mgr = MagicMock()
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model.provider.token_mgr.get_token = MagicMock(return_value='test-key')
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return model
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@pytest.fixture
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def requester_with_mocked_client(self, mock_app):
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from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
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req = OpenAIChatCompletions(mock_app, {})
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req.client = MagicMock()
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req.client.embeddings = MagicMock()
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req.client.embeddings.create = AsyncMock()
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return req
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@pytest.mark.asyncio
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async def test_embedding_timeout_error(self, requester_with_mocked_client, mock_embedding_model):
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"""TimeoutError in embedding request."""
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requester_with_mocked_client.client.embeddings.create = AsyncMock(
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side_effect=asyncio.TimeoutError()
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)
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with pytest.raises(RequesterError) as exc:
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await requester_with_mocked_client.invoke_embedding(
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model=mock_embedding_model,
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input_text=['test'],
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)
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assert '超时' in str(exc.value)
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@pytest.mark.asyncio
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async def test_embedding_bad_request_error(self, requester_with_mocked_client, mock_embedding_model):
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"""BadRequestError in embedding request."""
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error = openai.BadRequestError(
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message='Invalid model',
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response=MagicMock(status_code=400),
|
||||
body={}
|
||||
)
|
||||
requester_with_mocked_client.client.embeddings.create = AsyncMock(
|
||||
side_effect=error
|
||||
)
|
||||
|
||||
with pytest.raises(RequesterError) as exc:
|
||||
await requester_with_mocked_client.invoke_embedding(
|
||||
model=mock_embedding_model,
|
||||
input_text=['test'],
|
||||
)
|
||||
|
||||
assert '参数' in str(exc.value)
|
||||
|
||||
|
||||
class TestRequesterErrorClass:
|
||||
"""Tests for RequesterError."""
|
||||
|
||||
def test_error_message_prefix(self):
|
||||
"""RequesterError has '模型请求失败' prefix."""
|
||||
from langbot.pkg.provider.modelmgr.errors import RequesterError
|
||||
|
||||
error = RequesterError('test error')
|
||||
assert '模型请求失败' in str(error)
|
||||
|
||||
def test_error_is_exception(self):
|
||||
"""RequesterError inherits Exception."""
|
||||
from langbot.pkg.provider.modelmgr.errors import RequesterError
|
||||
|
||||
error = RequesterError('test')
|
||||
assert isinstance(error, Exception)
|
||||
|
||||
|
||||
class TestDefaultConfig:
|
||||
"""Tests for requester default config."""
|
||||
|
||||
def test_default_config(self):
|
||||
"""Check default_config values."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
assert OpenAIChatCompletions.default_config['base_url'] == 'https://api.openai.com/v1'
|
||||
assert OpenAIChatCompletions.default_config['timeout'] == 120
|
||||
|
||||
def test_config_override(self):
|
||||
"""Config overrides defaults."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
req = OpenAIChatCompletions(MagicMock(), {
|
||||
'base_url': 'https://custom.com/v1',
|
||||
'timeout': 60,
|
||||
})
|
||||
|
||||
assert req.requester_cfg['base_url'] == 'https://custom.com/v1'
|
||||
assert req.requester_cfg['timeout'] == 60
|
||||
@@ -0,0 +1,340 @@
|
||||
"""Tests for requester pure utility functions.
|
||||
|
||||
Tests the helper methods in OpenAIChatCompletions that don't require network calls.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
from tests.utils.import_isolation import isolated_sys_modules
|
||||
|
||||
|
||||
class TestMaskApiKey:
|
||||
"""Tests for _mask_api_key method."""
|
||||
|
||||
def _create_requester_with_mocks(self):
|
||||
"""Create requester instance with mocked dependencies."""
|
||||
mocks = {
|
||||
'langbot.pkg.core.app': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.resource.tool': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.pipeline.query': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.provider.message': MagicMock(),
|
||||
'langbot.pkg.provider.modelmgr.errors': MagicMock(),
|
||||
}
|
||||
|
||||
with isolated_sys_modules(mocks):
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
mock_app = MagicMock()
|
||||
requester = OpenAIChatCompletions(mock_app, {})
|
||||
return requester
|
||||
|
||||
def test_mask_api_key_full(self):
|
||||
"""Mask a full API key."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._mask_api_key('sk-1234567890abcdef')
|
||||
assert result == 'sk-1...cdef'
|
||||
|
||||
def test_mask_api_key_short(self):
|
||||
"""Mask a short API key (<=8 chars)."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._mask_api_key('short')
|
||||
assert result == '****'
|
||||
|
||||
def test_mask_api_key_empty(self):
|
||||
"""Empty API key returns empty string."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._mask_api_key('')
|
||||
assert result == ''
|
||||
|
||||
def test_mask_api_key_none(self):
|
||||
"""None API key returns empty string."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._mask_api_key(None)
|
||||
assert result == ''
|
||||
|
||||
def test_mask_api_key_exact_8_chars(self):
|
||||
"""API key with exactly 8 chars is masked as **** (<=8 threshold)."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._mask_api_key('12345678')
|
||||
assert result == '****' # <= 8 chars gets masked
|
||||
|
||||
|
||||
class TestInferModelType:
|
||||
"""Tests for _infer_model_type method."""
|
||||
|
||||
def _create_requester_with_mocks(self):
|
||||
mocks = {
|
||||
'langbot.pkg.core.app': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.resource.tool': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.pipeline.query': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.provider.message': MagicMock(),
|
||||
'langbot.pkg.provider.modelmgr.errors': MagicMock(),
|
||||
}
|
||||
|
||||
with isolated_sys_modules(mocks):
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
mock_app = MagicMock()
|
||||
requester = OpenAIChatCompletions(mock_app, {})
|
||||
return requester
|
||||
|
||||
def test_infer_embedding_from_name(self):
|
||||
"""Infer embedding type from model name."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
assert requester._infer_model_type('text-embedding-ada-002') == 'embedding'
|
||||
assert requester._infer_model_type('bge-large-en') == 'embedding'
|
||||
assert requester._infer_model_type('e5-base') == 'embedding'
|
||||
assert requester._infer_model_type('m3e-base') == 'embedding'
|
||||
|
||||
def test_infer_llm_from_name(self):
|
||||
"""Infer LLM type from model name."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
assert requester._infer_model_type('gpt-4') == 'llm'
|
||||
assert requester._infer_model_type('claude-3-opus') == 'llm'
|
||||
assert requester._infer_model_type('llama-2-70b') == 'llm'
|
||||
|
||||
def test_infer_model_type_none_id(self):
|
||||
"""Handle None model_id."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._infer_model_type(None)
|
||||
assert result == 'llm' # Default
|
||||
|
||||
def test_infer_model_type_empty_id(self):
|
||||
"""Handle empty model_id."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._infer_model_type('')
|
||||
assert result == 'llm' # Default
|
||||
|
||||
|
||||
class TestNormalizeModalities:
|
||||
"""Tests for _normalize_modalities method."""
|
||||
|
||||
def _create_requester_with_mocks(self):
|
||||
mocks = {
|
||||
'langbot.pkg.core.app': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.resource.tool': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.pipeline.query': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.provider.message': MagicMock(),
|
||||
'langbot.pkg.provider.modelmgr.errors': MagicMock(),
|
||||
}
|
||||
|
||||
with isolated_sys_modules(mocks):
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
mock_app = MagicMock()
|
||||
requester = OpenAIChatCompletions(mock_app, {})
|
||||
return requester
|
||||
|
||||
def test_normalize_string_modality(self):
|
||||
"""Normalize single string modality."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._normalize_modalities('text,image')
|
||||
assert result == ['text', 'image']
|
||||
|
||||
def test_normalize_list_modalities(self):
|
||||
"""Normalize list of modalities."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._normalize_modalities(['text', 'image', 'audio'])
|
||||
assert result == ['text', 'image', 'audio']
|
||||
|
||||
def test_normalize_dict_modalities(self):
|
||||
"""Normalize dict with nested modalities."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._normalize_modalities({'input': ['text'], 'output': ['text', 'image']})
|
||||
assert result == ['text', 'image']
|
||||
|
||||
def test_normalize_none(self):
|
||||
"""Handle None input."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._normalize_modalities(None)
|
||||
assert result == []
|
||||
|
||||
def test_normalize_arrow_separator(self):
|
||||
"""Handle arrow separator in modality string."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
result = requester._normalize_modalities('text->image')
|
||||
assert result == ['text', 'image']
|
||||
|
||||
|
||||
class TestParseRerankResponse:
|
||||
"""Tests for _parse_rerank_response static method."""
|
||||
|
||||
def test_parse_cohere_jina_format(self):
|
||||
"""Parse Cohere/Jina/SiliconFlow format."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
data = {
|
||||
'results': [
|
||||
{'index': 0, 'relevance_score': 0.95},
|
||||
{'index': 1, 'relevance_score': 0.80},
|
||||
]
|
||||
}
|
||||
|
||||
result = OpenAIChatCompletions._parse_rerank_response(data)
|
||||
assert result == [
|
||||
{'index': 0, 'relevance_score': 0.95},
|
||||
{'index': 1, 'relevance_score': 0.80},
|
||||
]
|
||||
|
||||
def test_parse_voyage_format(self):
|
||||
"""Parse Voyage AI format."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
data = {
|
||||
'data': [
|
||||
{'index': 0, 'relevance_score': 0.90},
|
||||
{'index': 2, 'relevance_score': 0.75},
|
||||
]
|
||||
}
|
||||
|
||||
result = OpenAIChatCompletions._parse_rerank_response(data)
|
||||
assert result == [
|
||||
{'index': 0, 'relevance_score': 0.90},
|
||||
{'index': 2, 'relevance_score': 0.75},
|
||||
]
|
||||
|
||||
def test_parse_dashscope_format(self):
|
||||
"""Parse DashScope format."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
data = {
|
||||
'output': {
|
||||
'results': [
|
||||
{'index': 0, 'relevance_score': 0.85},
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
result = OpenAIChatCompletions._parse_rerank_response(data)
|
||||
assert result == [{'index': 0, 'relevance_score': 0.85}]
|
||||
|
||||
def test_parse_unknown_format(self):
|
||||
"""Handle unknown format returns empty list."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
data = {'unknown_key': 'value'}
|
||||
|
||||
result = OpenAIChatCompletions._parse_rerank_response(data)
|
||||
assert result == []
|
||||
|
||||
def test_parse_empty_results(self):
|
||||
"""Handle empty results."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
data = {'results': []}
|
||||
|
||||
result = OpenAIChatCompletions._parse_rerank_response(data)
|
||||
assert result == []
|
||||
|
||||
|
||||
class TestExtractScanMetadata:
|
||||
"""Tests for _extract_scan_metadata method."""
|
||||
|
||||
def _create_requester_with_mocks(self):
|
||||
mocks = {
|
||||
'langbot.pkg.core.app': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.resource.tool': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.pipeline.query': MagicMock(),
|
||||
'langbot_plugin.api.entities.builtin.provider.message': MagicMock(),
|
||||
'langbot.pkg.provider.modelmgr.errors': MagicMock(),
|
||||
}
|
||||
|
||||
with isolated_sys_modules(mocks):
|
||||
from langbot.pkg.provider.modelmgr.requesters.chatcmpl import OpenAIChatCompletions
|
||||
|
||||
mock_app = MagicMock()
|
||||
requester = OpenAIChatCompletions(mock_app, {})
|
||||
return requester
|
||||
|
||||
def test_extract_basic_metadata(self):
|
||||
"""Extract basic model metadata."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
item = {
|
||||
'id': 'gpt-4',
|
||||
'name': 'GPT-4 Turbo',
|
||||
'description': 'Most capable GPT-4 model',
|
||||
'context_length': 128000,
|
||||
'owned_by': 'openai',
|
||||
}
|
||||
|
||||
result = requester._extract_scan_metadata(item, 'gpt-4')
|
||||
|
||||
assert result['display_name'] == 'GPT-4 Turbo'
|
||||
assert result['description'] == 'Most capable GPT-4 model'
|
||||
assert result['context_length'] == 128000
|
||||
assert result['owned_by'] == 'openai'
|
||||
|
||||
def test_extract_metadata_missing_fields(self):
|
||||
"""Handle missing metadata fields."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
item = {'id': 'unknown-model'}
|
||||
|
||||
result = requester._extract_scan_metadata(item, 'unknown-model')
|
||||
|
||||
assert result['display_name'] is None
|
||||
assert result['description'] is None
|
||||
assert result['context_length'] is None
|
||||
assert result['owned_by'] is None
|
||||
|
||||
def test_extract_metadata_top_provider_context(self):
|
||||
"""Extract context_length from top_provider."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
item = {
|
||||
'id': 'model',
|
||||
'top_provider': {
|
||||
'context_length': 4096,
|
||||
},
|
||||
}
|
||||
|
||||
result = requester._extract_scan_metadata(item, 'model')
|
||||
|
||||
assert result['context_length'] == 4096
|
||||
|
||||
def test_extract_metadata_empty_strings(self):
|
||||
"""Handle empty string values."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
item = {
|
||||
'id': 'model',
|
||||
'name': '', # Empty name
|
||||
'description': ' ', # Whitespace only
|
||||
'owned_by': '',
|
||||
}
|
||||
|
||||
result = requester._extract_scan_metadata(item, 'model')
|
||||
|
||||
assert result['display_name'] is None
|
||||
assert result['description'] is None
|
||||
assert result['owned_by'] is None
|
||||
|
||||
def test_extract_metadata_name_matches_id(self):
|
||||
"""When name equals id, display_name is None."""
|
||||
requester = self._create_requester_with_mocks()
|
||||
|
||||
item = {
|
||||
'id': 'gpt-4',
|
||||
'name': 'gpt-4', # Same as id
|
||||
}
|
||||
|
||||
result = requester._extract_scan_metadata(item, 'gpt-4')
|
||||
|
||||
assert result['display_name'] is None
|
||||
@@ -0,0 +1,264 @@
|
||||
"""Tests for OllamaChatCompletions requester.
|
||||
|
||||
Tests model inference, payload construction, and error handling.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
import pytest
|
||||
|
||||
from langbot.pkg.provider.modelmgr.errors import RequesterError
|
||||
|
||||
|
||||
class TestOllamaRequesterConfig:
|
||||
"""Tests for default config."""
|
||||
|
||||
def test_default_config_values(self):
|
||||
"""Check default_config."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
assert OllamaChatCompletions.default_config['base_url'] == 'http://127.0.0.1:11434'
|
||||
assert OllamaChatCompletions.default_config['timeout'] == 120
|
||||
|
||||
def test_config_override(self):
|
||||
"""Config can override defaults."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
mock_app = MagicMock()
|
||||
req = OllamaChatCompletions(mock_app, {
|
||||
'base_url': 'http://custom.ollama:11434',
|
||||
'timeout': 300,
|
||||
})
|
||||
|
||||
assert req.requester_cfg['base_url'] == 'http://custom.ollama:11434'
|
||||
assert req.requester_cfg['timeout'] == 300
|
||||
|
||||
|
||||
class TestOllamaInferModelType:
|
||||
"""Tests for _infer_model_type pure function."""
|
||||
|
||||
@pytest.fixture
|
||||
def requester(self):
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
return OllamaChatCompletions(MagicMock(), {})
|
||||
|
||||
def test_infer_embedding_from_name(self, requester):
|
||||
"""Embedding keywords return 'embedding'."""
|
||||
assert requester._infer_model_type('nomic-embed-text') == 'embedding'
|
||||
assert requester._infer_model_type('bge-large') == 'embedding'
|
||||
assert requester._infer_model_type('text-embedding') == 'embedding'
|
||||
|
||||
def test_infer_llm_from_name(self, requester):
|
||||
"""Non-embedding keywords return 'llm'."""
|
||||
assert requester._infer_model_type('llama2') == 'llm'
|
||||
assert requester._infer_model_type('mistral') == 'llm'
|
||||
assert requester._infer_model_type('codellama') == 'llm'
|
||||
|
||||
def test_infer_model_type_none(self, requester):
|
||||
"""None model_id returns 'llm'."""
|
||||
assert requester._infer_model_type(None) == 'llm'
|
||||
|
||||
def test_infer_model_type_empty(self, requester):
|
||||
"""Empty model_id returns 'llm'."""
|
||||
assert requester._infer_model_type('') == 'llm'
|
||||
|
||||
|
||||
class TestOllamaInferModelAbilities:
|
||||
"""Tests for _infer_model_abilities pure function."""
|
||||
|
||||
@pytest.fixture
|
||||
def requester(self):
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
return OllamaChatCompletions(MagicMock(), {})
|
||||
|
||||
def test_infer_vision_ability(self, requester):
|
||||
"""Vision keywords add 'vision' ability."""
|
||||
item = {
|
||||
'details': {
|
||||
'family': 'llava',
|
||||
}
|
||||
}
|
||||
|
||||
abilities = requester._infer_model_abilities(item, 'llava-v1.5')
|
||||
assert 'vision' in abilities
|
||||
|
||||
def test_infer_vision_from_model_id(self, requester):
|
||||
"""Vision keywords in model_id add 'vision' ability."""
|
||||
item = {}
|
||||
abilities = requester._infer_model_abilities(item, 'llava-7b')
|
||||
assert 'vision' in abilities
|
||||
|
||||
def test_infer_func_call_ability(self, requester):
|
||||
"""Tool/function keywords add 'func_call' ability."""
|
||||
item = {
|
||||
'details': {
|
||||
'families': ['tools'],
|
||||
}
|
||||
}
|
||||
|
||||
abilities = requester._infer_model_abilities(item, 'model')
|
||||
assert 'func_call' in abilities
|
||||
|
||||
def test_infer_no_abilities(self, requester):
|
||||
"""No matching keywords returns empty abilities."""
|
||||
item = {
|
||||
'details': {
|
||||
'family': 'llama',
|
||||
}
|
||||
}
|
||||
|
||||
abilities = requester._infer_model_abilities(item, 'llama-2')
|
||||
assert len(abilities) == 0
|
||||
|
||||
def test_infer_multiple_abilities(self, requester):
|
||||
"""Multiple keywords can add multiple abilities."""
|
||||
item = {
|
||||
'details': {
|
||||
'family': 'vision',
|
||||
'families': ['tools'],
|
||||
}
|
||||
}
|
||||
|
||||
abilities = requester._infer_model_abilities(item, 'vision-tool-model')
|
||||
assert 'vision' in abilities
|
||||
assert 'func_call' in abilities
|
||||
|
||||
|
||||
class TestOllamaMakeMessage:
|
||||
"""Tests for _make_msg response parsing."""
|
||||
|
||||
@pytest.fixture
|
||||
def requester(self):
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
return OllamaChatCompletions(MagicMock(), {})
|
||||
|
||||
def _create_ollama_response(self, content, tool_calls=None):
|
||||
"""Helper to create mock ollama response."""
|
||||
import ollama
|
||||
|
||||
mock_response = MagicMock(spec=ollama.ChatResponse)
|
||||
mock_message = MagicMock(spec=ollama.Message)
|
||||
mock_message.content = content
|
||||
mock_message.tool_calls = tool_calls
|
||||
mock_response.message = mock_message
|
||||
|
||||
return mock_response
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_make_msg_text_content(self, requester):
|
||||
"""Text content is extracted."""
|
||||
mock_response = self._create_ollama_response('Hello world')
|
||||
|
||||
result = await requester._make_msg(mock_response)
|
||||
|
||||
assert result.content == 'Hello world'
|
||||
assert result.role == 'assistant'
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_make_msg_with_tool_calls(self, requester):
|
||||
"""Tool calls are parsed."""
|
||||
mock_tool_call = MagicMock()
|
||||
mock_tool_call.function = MagicMock()
|
||||
mock_tool_call.function.name = 'get_weather'
|
||||
mock_tool_call.function.arguments = {'location': 'Beijing'}
|
||||
|
||||
mock_response = self._create_ollama_response('', tool_calls=[mock_tool_call])
|
||||
|
||||
result = await requester._make_msg(mock_response)
|
||||
|
||||
assert result.tool_calls is not None
|
||||
assert len(result.tool_calls) == 1
|
||||
assert result.tool_calls[0].function.name == 'get_weather'
|
||||
# Arguments should be JSON string
|
||||
assert isinstance(result.tool_calls[0].function.arguments, str)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_make_msg_empty_message_raises(self, requester):
|
||||
"""Empty message raises ValueError."""
|
||||
mock_response = MagicMock()
|
||||
mock_response.message = None
|
||||
|
||||
with pytest.raises(ValueError, match='message'):
|
||||
await requester._make_msg(mock_response)
|
||||
|
||||
|
||||
class TestOllamaErrorHandling:
|
||||
"""Tests for error handling branches."""
|
||||
|
||||
@pytest.fixture
|
||||
def mock_app(self):
|
||||
app = MagicMock()
|
||||
app.tool_mgr = MagicMock()
|
||||
app.tool_mgr.generate_tools_for_openai = AsyncMock(return_value=[])
|
||||
return app
|
||||
|
||||
@pytest.fixture
|
||||
def requester_with_mocked_client(self, mock_app):
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
req = OllamaChatCompletions(mock_app, {})
|
||||
req.client = MagicMock()
|
||||
req.client.chat = AsyncMock()
|
||||
|
||||
return req
|
||||
|
||||
@pytest.fixture
|
||||
def mock_model(self):
|
||||
model = MagicMock()
|
||||
model.model_entity = MagicMock()
|
||||
model.model_entity.name = 'llama2'
|
||||
model.provider = MagicMock()
|
||||
model.provider.token_mgr = MagicMock()
|
||||
model.provider.token_mgr.get_token = MagicMock(return_value='')
|
||||
return model
|
||||
|
||||
@pytest.fixture
|
||||
def mock_message(self):
|
||||
msg = MagicMock()
|
||||
msg.role = 'user'
|
||||
msg.content = 'test'
|
||||
msg.dict = MagicMock(return_value={'role': 'user', 'content': 'test'})
|
||||
return msg
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_timeout_error(self, requester_with_mocked_client, mock_model, mock_message):
|
||||
"""TimeoutError is converted to RequesterError."""
|
||||
requester_with_mocked_client.client.chat = AsyncMock(side_effect=asyncio.TimeoutError())
|
||||
|
||||
with pytest.raises(RequesterError) as exc:
|
||||
await requester_with_mocked_client.invoke_llm(
|
||||
query=None,
|
||||
model=mock_model,
|
||||
messages=[mock_message],
|
||||
)
|
||||
|
||||
assert '超时' in str(exc.value)
|
||||
|
||||
|
||||
class TestOllamaScanModels:
|
||||
"""Tests for scan_models method."""
|
||||
|
||||
@pytest.fixture
|
||||
def mock_app(self):
|
||||
return MagicMock()
|
||||
|
||||
@pytest.fixture
|
||||
def requester(self, mock_app):
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import OllamaChatCompletions
|
||||
|
||||
req = OllamaChatCompletions(mock_app, {
|
||||
'base_url': 'http://127.0.0.1:11434',
|
||||
'timeout': 120,
|
||||
})
|
||||
return req
|
||||
|
||||
def test_requester_name_constant(self):
|
||||
"""REQUESTER_NAME constant exists."""
|
||||
from langbot.pkg.provider.modelmgr.requesters.ollamachat import REQUESTER_NAME
|
||||
|
||||
assert REQUESTER_NAME == 'ollama-chat'
|
||||
Reference in New Issue
Block a user