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* feat(daily-paper): add daily paper cookbook workflow with schema and tests - Introduce daily paper schema types (DailyBriefOutput, PaperInfo, PaperNoteOutput, etc.) - Create daily paper cookbook module with analyze, collect, digest, rank, and select steps - Add cookbook entry point and integrate into main steps module - Replace job config export with daily brief output in schema exports - Add comprehensive unit tests covering pipeline, filtering, and output generation - Update dependencies including openai-codex and pypdf packages - Configure standalone daily paper cron job with proper scheduling and routing * test(daily_paper): update tests to use Claude Code wrapper exclusively - Add test to verify web search is disallowed by default in Claude Code - Update imports to include DailyBriefOutput, PaperNoteOutput, and PaperSelection schemas - Change test name from standalone_config_has_backend_split to reflect Claude Code only usage - Remove default agent wrapper and configure all steps to use Claude Code wrapper - Rename select_wrapper to cc_wrapper for clarity and consistency - Remove duplicate Claude Code wrapper initialization - Update test assertions to verify output schema usage matches expected sequence - Remove unused as_llm component from standalone configuration test * refactor(agent-wrapper): simplify skill resolution logic across all wrappers - Replace duplicate skill resolution code with centralized _resolve_project_skills method - Add project_path property with configurable relative path resolution - Introduce proper validation for skill names and directory existence - Change Codex wrapper to use project_path instead of workspace_path for skills - Add SKILL.md requirement validation for project skills - Remove redundant skill processing logic from individual wrappers * feat(daily_paper): add daily paper workflow with PDF analysis and brief generation - Implement shared state management and file helpers for daily-paper steps - Add PDF download and text extraction capabilities with arXiv integration - Create paper collection step with Hugging Face weekly/monthly rankings - Build ranking system using reciprocal-rank fusion with memory keyword scoring - Add Claude Code integration for paper analysis and detailed note generation - Implement digest step to create final five-minute brief from detailed notes - Add configuration for standalone daily cookbook application with cron scheduling - Create typed schema for paper information, selection, and output formats - Add atomic file writing with temporary file safety mechanisms - Implement exclusion logic for previously recommended papers and daily filters * feat(daily_paper): add DingTalk notification integration and enhance logging - Integrate DingTalk markdown send step to notify groups about daily paper briefs - Add comprehensive logging throughout daily paper workflow including start/finish events - Update daily paper analysis prompt to include code repository context requirement - Configure DingTalk notification in daily_cookbook.yaml with app credentials - Add dingtalk-stream dependency for proactive message API integration - Enhance daily paper README with DingTalk notification section and updated flow chart - Implement detailed logging for each step including paper processing and agent calls - Add test coverage for DingTalk markdown sending functionality and configuration - Update pre-commit config to exclude skills directory from checks - Add .claude/skills to gitignore for local development environment * refactor(dingtalk): move dingtalk_stream import to local scope and improve code safety - Moved global dingtalk_stream import to local scope in send.py to avoid eager loading - Added dynamic import with error handling for optional dependency cases - Updated test suite to verify lazy loading behavior works correctly - Fixed markdown title generation by using safe variable naming in wait.py - Enhanced test coverage for arxiv PDF download caching functionality - Updated application context initialization with proper resource directory configuration - Modified paper metadata to include source PDF path reference in output files * refactor(daily_paper): remove manifest system and store selection metadata in digest files - Remove JSON manifest creation and storage functionality - Store selection data directly in digest file frontmatter instead of separate manifest files - Add load_saved_selection method to rebuild selection from digest and paper-note metadata - Update README documentation to reflect new cookbook workflow architecture - Modify test cases to verify selection metadata in digest files instead of manifest JSON - Remove unused json import from multiple daily paper modules - Integrate PaperSelection schema for proper data validation in stored metadata * docs(daily_paper): add bilingual cookbook guides
107 lines
4 KiB
Python
107 lines
4 KiB
Python
"""Tests for shared agent wrapper behavior."""
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import sys
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from unittest.mock import MagicMock
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import pytest
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from reme.components.agent_wrapper import AsAgentWrapper, BaseAgentWrapper, CcAgentWrapper, CodexAgentWrapper
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from reme.components.agent_wrapper.as_agent_wrapper import WorkspaceBackend
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from reme.components.agent_wrapper import base_agent_wrapper
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from reme.components.application_context import ApplicationContext
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from reme.components import base_component
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class _VersionedAgentWrapper(BaseAgentWrapper):
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SDK_PACKAGE = "example-agent-sdk"
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async def reply(self, inputs, **kwargs) -> dict:
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return {"inputs": inputs, "kwargs": kwargs}
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def test_init_logs_sdk_version(monkeypatch):
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"""An SDK-backed wrapper logs its installed distribution version."""
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logger = MagicMock()
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logger.bind.return_value = logger
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monkeypatch.setattr(base_component, "get_logger", lambda: logger)
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monkeypatch.setattr(base_agent_wrapper.metadata, "version", lambda package: "1.2.3")
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_VersionedAgentWrapper(name="versioned")
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logger.info.assert_called_once_with("Agent SDK package=example-agent-sdk version=1.2.3")
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def test_init_logs_unknown_when_sdk_distribution_metadata_is_missing(monkeypatch):
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"""Missing distribution metadata does not prevent wrapper initialization."""
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logger = MagicMock()
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logger.bind.return_value = logger
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monkeypatch.setattr(base_component, "get_logger", lambda: logger)
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def missing_version(package):
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raise base_agent_wrapper.metadata.PackageNotFoundError(package)
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monkeypatch.setattr(base_agent_wrapper.metadata, "version", missing_version)
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_VersionedAgentWrapper()
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logger.info.assert_called_once_with("Agent SDK package=example-agent-sdk version=unknown")
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@pytest.mark.parametrize(
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("wrapper_class", "sdk_package"),
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[
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(AsAgentWrapper, "agentscope"),
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(CcAgentWrapper, "claude-agent-sdk"),
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(CodexAgentWrapper, "openai-codex"),
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],
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)
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def test_agent_wrappers_declare_sdk_package(wrapper_class, sdk_package):
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"""Each concrete backend identifies the distribution that provides its SDK."""
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assert wrapper_class.SDK_PACKAGE == sdk_package
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def test_project_path_is_independent_from_runtime_workspace(tmp_path):
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"""Project assets can live outside the runtime workspace."""
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workspace = tmp_path / "project" / ".reme"
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wrapper = _VersionedAgentWrapper(
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app_context=ApplicationContext(workspace_dir=str(workspace)),
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project_path="..",
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)
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assert wrapper.workspace_path == workspace
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assert wrapper.project_path == tmp_path / "project"
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assert wrapper.cwd == tmp_path / "project"
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assert wrapper.project_skills_root == tmp_path / "project" / "skills"
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@pytest.mark.parametrize("wrapper_class", [AsAgentWrapper, CcAgentWrapper, CodexAgentWrapper])
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def test_agent_wrappers_share_project_skill_resolution(tmp_path, wrapper_class):
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"""Every backend resolves selected skills through the base project root."""
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workspace = tmp_path / "project" / ".reme"
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skill = tmp_path / "project" / "skills" / "one"
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skill.mkdir(parents=True)
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(skill / "SKILL.md").write_text("# one", encoding="utf-8")
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kwargs = {
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"app_context": ApplicationContext(workspace_dir=str(workspace)),
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"project_path": "..",
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}
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if wrapper_class is AsAgentWrapper:
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kwargs["as_llm"] = ""
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wrapper = wrapper_class(**kwargs)
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assert wrapper._resolve_project_skills(["one", "one"]) == {"one": skill} # pylint: disable=protected-access
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@pytest.mark.asyncio
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async def test_agentscope_backend_passes_configured_environment_to_bash(tmp_path, monkeypatch):
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"""AgentScope subprocesses receive config environment values explicitly."""
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monkeypatch.setenv("REME_AGENT_ENV_TEST", "parent")
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backend = WorkspaceBackend(str(tmp_path), {"REME_AGENT_ENV_TEST": "configured"})
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result = await backend.exec_shell(
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[sys.executable, "-c", "import os; print(os.environ['REME_AGENT_ENV_TEST'])"],
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cwd=str(tmp_path),
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)
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assert result.exit_code == 0
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assert result.stdout == b"configured\n"
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