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| Author | SHA1 | Message | Date | |
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jinliyl
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83831ec90c
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feat(core): enhance reme4 (#281)
### 1. Agent Wrapper（统一 Agent 后端抽象） - **`base_agent_wrapper.py`**：`reply()` 返回值从 `tuple[str, Any]` 改为 `dict`（含 `session_id` / `last_message` / `result` / 可选 `structured_output`）；`reply_stream()` 改为产出统一的 `StreamChunk`。废弃 `add_tools()`，改为 `add_job_tools(names: list[str])`（按名解析 BaseJob）与 `add_skills()`；新增 `_resolve_job_tools()`、`_merged_kwargs()`、`_chunk()` 辅助方法及 `project_path` / `project_skills_root` 属性。 - **`as_agent_wrapper.py`（AgentScope 后端）**： - 会话持久化重写：`session_path` 落地到 `<vault>/<session_dir>/agentscope/`，`_load_state` 支持 `resume` / `session_id` / `fork_session`，并做 UUID 校验（`_validate_session_id`）；`_cleanup_expired_sessions` 按天数清理过期会话。 - 新增内置工具集（`BypassAnalysisBash` + Edit/Glob/Grep/Read/Write），`BypassAnalysisBash` 绕过 AgentScope 自带 Bash 静态分析以让 permission_mode 生效；`_resolve_skills()` 把配置的 skill 暴露给后端，`_load_tool_env()` 注入项目 `.env`。 - `_event_to_chunk()` 把 20+ 种 AgentScope 事件（Reply/Text/Thinking/Data/ToolCall/ToolResult/ModelCall/ExceedMaxIters）归一化为 `StreamChunk`。 - **`cc_agent_wrapper.py`（Claude Code SDK 后端，+551 行）**： - 新增 `_CcFileSessionStore`：基于 vault 的文件型会话存储，实现 append（按 uuid 去重）/ load / list / delete / list_subkeys，并对路径做 `_safe_parts` + `resolve()` 防越界校验。 - `_build_options()`：统一构建 `ClaudeAgentOptions`，处理 skills、disallowed_tools（默认禁 `WebSearch`）、`.env` 注入、Claude Code 的 API 凭据解析（`_claude_code_api_env`，多级 base_url/api_key 回退）、`CLAUDE_CONFIG_DIR` 设置、skill 目录软链接（`_ensure_claude_skill_dir`）。 - `_raw_event_to_chunk()` / `_message_content_to_chunks()`：把 Anthropic 流式事件（message_start/delta/stop、content_block_*）与 SDK 消息块（AssistantMessage/UserMessage/ResultMessage/RateLimitEvent）转换为统一 `StreamChunk`；跟踪 block_id/block_type/tool_call_name 做关联；处理尾部 `"success"` 误报异常的吞掉逻辑。 ### 2. 统一流式协议（StreamChunk / ChunkEnum） - **`stream_chunk.py`**：`StreamChunk` 扩展为承载 AS + CC 双后端完整信息的统一结构，新增 `session_id` / `block_id` / `tool_call_id` / `tool_call_name` / `media_type` / `input_tokens` / `output_tokens` 等字段，纯文本流仍保持轻量。 - **`chunk_enum.py`**：补全生命周期标记 `REPLY_START` / `REPLY_END`，并文档化两套后端事件 → ChunkEnum 的映射。 ### 3. Index 模块重构（变化批次化 + dispatch） - 新增 `_change_batch.py`：`coalesce_changes()` 把同路径多次事件折叠为最终状态（结合 path 存在性判定），`bucket_changes()` 按 watchfiles.Change 分桶。 - 新增 `init_changes.py`（`InitChangesStep`）：一次性扫描，对比 file_store / file_catalog 已索引节点计算 added/modified/deleted，写入 `context["changes"]` 后 dispatch。 - 新增 `update_changes.py`：抽象基类 `ChangeApplyStep` 统一 added/modified/deleted 处理与错误收集；`UpdateCatalogStep`（写 file_catalog）、`UpdateIndexStep`（写 file_store，含按后缀解析 chunker）。 - **`watch_changes.py`**：改用 `dispatch_step_specs`（基类提供的 `dispatch_steps()`），每批先 `coalesce_changes` 再 dispatch；默认参数调整（debounce 5000ms / step 1000ms / poll 5000ms）并暴露常量。 - 删除旧步骤：`clear_and_scan` / `foreach_dispatch` / `scan_changes` / `update_catalog`(旧) / `update_index`(旧)；`clear_store.py` 取代 clear_and_scan。 ### 4. Evolve / Dream 模块（拆分为多步 pipeline） - 删除旧的单体 `auto_dream.py` / `dream.py` / `dream.yaml`，新增 `dream/` 子包，按 5 个步骤组织： - **`extract.py`**：扫描当日 day-index + daily 笔记，对比 file_catalog 找出 changed/deleted，调用 LLM 全局抽取 `units`（procedure/personal/wiki 三桶）与 `topics`，路径与桶做清洗/路由。 - **`integrate.py`**：逐个 unit 调用 LLM 写入 digest，结构化输出 `IntegrateOutcome`（CREATE/CORROBORATE/REFINE/CORRECT），失败 unit/路径收集回写。 - **`topics.py`**：写 `daily/<date>/interests.yaml`，结合当天已有 + 近 N 天做去重（`normalize_topic`），可走 LLM 或纯规则去重两条路径。 - **`proactive.py`**：读取当日 `interests.yaml`，作为主动推荐话题的入口。 - **`finish.py`**：把变更路径落盘到 dream file_catalog（checkpoint），渲染最终汇总摘要。 - 新增 `schema.py`（`DreamState` 等跨步骤共享状态与结构化输出模型）与 `utils.py`（状态存取、扫描打包、YAML 读写、结构化回复解析等公共函数）。 - `evolve/__init__.py` 导出全部新 step。 ### 5. auto_memory / auto_resource（适配新 Agent API） - **`auto_memory.py`**：会话路径迁移到 `<session_dir>/dialog/<session_id>.jsonl`；改用 `job_tools`；新增 `source_conversation` frontmatter 反向链接（`_session_link`）；执行后刷新 day 索引（`refresh_day_index`），并对 session_id 做合法性校验。 - **`auto_resource.py`**：资源改用「同名 daily note」方案（`_compute_note_stem` 取文件 stem）；批量处理 `changes: list[dict]`（`_handle_change` 逐项处理，返回逐项结果摘要）；agent 会话 id 用稳定的 `uuid5`；同样刷新 day 索引。 ### 6. BaseStep 基类增强 - 新增 `dispatch_steps` / `dispatch_step_specs` 机制：`_resolve_dispatch_step()` 支持字符串或 dict 形式的 step spec，`dispatch_steps()` 复用当前 context 调用下游 step。 - 新增 `config_value()`：按 key 取 app config，缺失时回退 `ApplicationConfig` 默认值。 - 小幅清理：`language` 初始化、`copy()`、`Ref.__init__` 签名精简。 ### 7. Components 改动 - **`file_store/local_file_store.py`**：持久化改用 zstd 压缩（`.jsonl.zst`，通过新 `utils/jsonl_zst.py`）；upsert 时先删除旧 chunk 的 keyword 文档；embedding 复用改为 `(text, embedding)` 键控，要求文本一致才复用；新增 `_matches_search_filter()` 对 vector/keyword 搜索做 path/path_prefix/metadata 的统一后过滤。 - **`keyword_index/bm25_index.py`**：索引文件名加入组件名 + tokenizer 指纹（sha256 前 12 位），快照/恢复时校验指纹防配置漂移；空索引 dump 时删除文件，加载失败抛错而非静默。 - **`file_chunker/markdown_file_chunker.py`**：弃用 `python-frontmatter`，改用内置 YAML 解析（非法 YAML 不阻断正文索引），并修正因 frontmatter 占用行号导致的 AST 行号偏移（`line_offset`）。 - **`cron_job.py`**：大幅简化（-187 行），由原来「dispatch 外部 job/step + 多种调度模式」改为「在自身 steps 上跑 cron 表达式」；`Application` 启动顺序随之调整为 base > stream > background > cron。 - 其余小调整：service（base/http/mcp）、file_graph、file_catalog、as_llm、as_embedding、tokenizer、prompt_handler、base_component 的签名/接口微调。 ### 8. Application 生命周期 - `_start()` 启动顺序明确为 components → base → stream → background → cron，启动失败会触发 `_close()` 回滚并 re-raise（不再吞异常）。 - 启动时创建 `session_dir` 目录；新增 `update_component()`（按类型/名就地更新已存在组件，不存在则报错）。 ### 9. File IO / 路径安全 - **`_path.py`**：`resolve_path` 增加 vault 越界防护（`is_relative_to` 校验），禁止 `.` / `..` 路径分量，支持 `allow_empty`。 - **`read.py`**：大文件（超过 `MAX_FILE_READ_BYTES`）走按行读取 `read_file_lines_safe`，避免一次性载入内存。 - **`_file_io.py` / `_daily_index.py` / `_path.py`** 等支持函数补齐（如 `refresh_day_index`、`read_file_lines_safe`）。 - **`env_utils.py`**：新增 `parse_env_file()`，`load_env()` 返回加载到的键值、支持 `override`、对无路径调用做幂等缓存。 ### 10. Config - `ApplicationConfig` 新增 `session_dir`（默认 `reme_session`）。 - `config_parser.py`：环境变量展开后做类型转换（`_convert_value`）、dot-notation 与 key=value 参数校验更严格、配置文件路径支持相对 `_CONFIG_DIR` 查找、根非 dict 报错。 - `default.yaml`：作业编排改用 `init_changes_step` + `dispatch_steps`（index/resource/digest 三个 watch loop 与 reindex）；新增 `auto_dream`（4 步）、`proactive` 作业，移除旧 `dream`；file_catalog 增配 `resource` / `digest` / `dream` 实例；LLM 默认值与 Claude Code 凭据配置调整（tool_result_limit 50000、thinking_enable=false 等）。 ### 11. 其它 - 新增 `steps/common/add.py`（`AddStep` 算术 demo）、`channel/__init__.py` 与 common `__init__` 导出整理。 - 新增 4 篇文档：`docs4/auto_dream_logic_and_step_refactor.md`、`docs4/watch_loop_step_refactor_plan.md`、`docs4/todo.md`，以及 `reme_design.md` 更新。 ** |
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jinliyl
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c3fb825af0
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feat(agent): refactor agent wrapper, add session persistence, auto_resource step, and watch-loop improvements (#277)
* refactor(agent_wrapper): update agent wrapper implementations and config defaults
- Set default timezone to Asia/Shanghai in application config
- Add AgentScope imports and configure ReAct, context, and model configs
- Simplify __all__ export formatting in agent wrapper init
- Remove redundant docstring details from agent wrapper classes
- Optimize tool result handling with state assignment simplification
- Add permission context and state management for AgentScope backend
- Update Claude Code wrapper tool creation and server registration logic
- Configure default agent settings including permission mode and retry limits
- Remove obsolete comments and streamline code structure
* fix(agent): add output schema validation and BaseModel support
- Added type assertion to ensure output_schema is a dict in as_agent_wrapper
- Imported BaseModel from pydantic in base_agent_wrapper
- Modified set_output_schema to accept both dict and BaseModel types
- Added automatic conversion of BaseModel to JSON schema
- Updated method documentation to reflect new type support
* refactor(agent): replace direct agent instantiation with agent wrapper component
- Removed manual Agent creation and initialization in llm_demo step
- Integrated agent_wrapper component as dependency in base step
- Updated llm_demo step to use agent_wrapper.reply method instead of direct agent calls
- Modified structured output handling to work with new agent wrapper interface
- Simplified agent configuration by using wrapper's built-in functionality
- Updated documentation to reflect agent wrapper usage instead of direct as_llm access
- Removed redundant imports related to manual agent management
* feat(agent): add streaming support and refactor agent wrapper components
- Introduce reply_stream method in base agent wrapper with fallback implementation
- Add _build_agent helper method to AsAgentWrapper for agent instantiation
- Implement structured output generation with proper model assertions
- Update StreamLLMDemoStep to use agent_wrapper instead of direct Agent calls
- Replace manual streaming logic with execute_stream_task utility function
- Change default system prompt to provide detailed responses instead of concise ones
- Add colored output support for different chunk types in streaming demos
- Refactor test cases to use async task execution with streaming verification
* refactor(agent): remove session_id parameter from reply methods
- Removed session_id parameter from ASAgentWrapper.reply method signature
- Removed session_id parameter from BaseAgentWrapper.reply abstract method
- Removed session_id parameter from CCAgentWrapper.reply method signature
- Updated reply_stream methods to remove session_id parameter across all wrappers
- Modified CCAgentWrapper to use dynamic options assignment instead of hardcoded properties
- Set default system_prompt in config instead of hardcoded in code
- Increased default max_turns from 10 to 50 in configuration
* config: update default configuration and script entry point
- Change resource_dir from empty string to 'resource'
- Update command line entry point from 'reme4' to 'reme'
* feat(agent): add session state persistence and forking support
- Implement AsStateHandler for AgentState JSONL serialization
- Add session_id parameter to AsAgentWrapper.reply method
- Create timestamp-based session file paths with timezone support
- Load existing session state from JSONL files when session_id provided
- Save updated session state after each agent interaction
- Support session forking with UUID generation for new sessions
- Add integration tests for session persistence and forking scenarios
- Include temporary directory utilities for testing isolated sessions
- Ensure parent directories are created for session files automatically
* refactor(auto_memory): replace transcript parsing with direct message handling
- Remove transcript loading logic and related dependencies
- Add session message saving functionality with deduplication
- Use agent wrapper instead of direct AgentScope agent instantiation
- Simplify timezone handling using shared now utility
- Update logging and response metadata structure
- Remove unused imports and toolkit management methods
- Change session file naming from session_{id}.jsonl to session_agent_{id}.jsonl
* refactor(steps): move channel steps from index to channel module
- Move ChannelNotifyStep from .index.channel_notify to .channel.channel_notify
- Move ClaimChannelStep from .index.claim_channel to .channel.claim_channel
- Update __init__.py imports to reflect new module structure
- Reorganize steps list in __init__.py with channel section before index
- Add proper file prefix handling in daily index processing
- Update test imports to use new channel module location
* feat(evolve): add auto_resource step for interpreting resource files
- Add AutoResourceStep to interpret resource files into daily notes via an agent
- Implement resource file parsing with date and filename extraction logic
- Add session ID computation using MD5 hash of filename
- Create delete and upsert handlers for resource file operations
- Add truncation and sanitization functions for tool output in auto_memory
- Register auto_resource step with proper parameter validation
- Add configuration for resource watch loop with file extension filters
- Update default YAML config to include resource watch and digest watch loops
- Add shared watch-rule logic for scan_changes and watch_changes steps
- Implement foreach_dispatch and log_changes steps for change processing
- Rename update_store_index_loop to index_update_loop in configuration
- Refactor file chunking interface from parse to chunk method
- Remove unused imports and dependencies in auto_dream step
- Fix path iteration formatting in daily_index utility function
- Add comprehensive integration tests for auto_resource functionality
* refactor(auto_resource): format function call with multi-line parameters
- Reformatted await _handle_upsert call to use multiple lines for better readability
- Removed unused imports from scan_changes.py including BaseFileCatalog and ComponentEnum
- Added date parameter to RuntimeContext initialization in test cases
- Updated expected file paths in test assertions to include session_agent prefix
- Formatted long assertion statements across multiple lines to maintain character limit
- Corrected wikilink references from generic names to session_agent prefixed names
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jinliyl
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8eaa96390a
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refactor(file_chunker): replace file parser with file chunker component (#276)
* refactor(file_chunker): replace file parser with file chunker component - Rename file_parser module to file_chunker across codebase - Update BaseFileParser to BaseFileChunker with corresponding component type - Rename LinkedFileParser to MarkdownFileChunker for markdown-specific chunking - Rename ChunkedFileParser to DefaultFileChunker for default byte-based chunking - Update documentation references from file_parser to file_chunker - Modify dependency injection in BaseStep to use file_chunker instead of file_parser - Update configuration and component registration to use new chunker naming - Rename all related test files and update test assertions accordingly - Add recursive option to scan_store_changes_step in default configuration * feat(database): enhance Neo4j connection with environment variable support - Add support for NEO4J_PASSWORD environment variable as fallback - Make password parameter optional in constructor with validation - Update chromadb dependency from 1.3.5 to 1.5.7 - Configure CORS credentials based on origin settings - Import os module for environment variable access * feat(config): add timezone support and remove unused dialog directory - Added timezone field to application config with IANA timezone support - Removed unused dialog_dir configuration and related directory creation - Replaced date.today() with timezone-aware now() function across daily operations - Created evolve module with timezone-aware datetime functionality - Updated daily_create, daily_list, and daily_reindex steps to use timezone-aware dates * refactor(steps): update file chunker implementation - Replace ChunkedFileParser with DefaultFileChunker in background steps - Add module docstring to evolve steps package - Update return type annotation to reflect new chunker class usage * refactor(components): rename embedding and llm components to as_embedding and as_llm - Rename reme4/components/embedding to reme4/components/as_embedding - Rename reme4/components/llm to reme4/components/as_llm - Update all imports and references from embedding to as_embedding - Update all imports and references from llm to as_llm - Change BaseEmbedding to BaseAsEmbedding and update inheritance - Change BaseLLM to BaseAsLLM and update inheritance - Update component types from LLM/EMBEDDING to AS_LLM/AS_EMBEDDING - Update configuration keys from embedding/llm to as_embedding/as_llm - Update all property references from llm to as_llm in step classes - Update test assertions to use new component enum values * refactor(embedding_store): rename embedding parameter to as_embedding - Updated configuration key from 'embedding' to 'as_embedding' - Renamed class attribute from 'embedding' to 'as_embedding' - Updated method calls to use 'as_embedding' instead of 'embedding' - Changed parameter name in constructor from 'embedding' to 'as_embedding' - Updated documentation to reflect new parameter name - Modified health check to use 'as_embedding' property * feat(agent_wrapper): add unified agent wrapper component with multiple backends - Introduce BaseAgentWrapper abstract base class for agent implementations - Add AsAgentWrapper implementation using AgentScope framework - Add CcAgentWrapper implementation using Claude Code SDK - Register agent_wrapper component type in ComponentEnum - Configure default agent_wrapper settings in default.yaml - Implement tool integration for both AgentScope and Claude Code backends - Support fluent configuration via set_system_prompt() and add_tools() methods * feat(agent-wrapper): add structured output support for agent wrappers - Import SystemMsg in AsAgentWrapper for structured output handling - Add output_schema parameter support in AsAgentWrapper with generate_structured_output - Implement set_output_schema method in BaseAgentWrapper for chaining configuration - Add output schema support in CcAgentWrapper with JSON schema format option - Return structured output when available in CcAgentWrapper response - Refactor kwargs handling to use default values consistently across wrapper classes |
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Sen Huang
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a2d76cc034
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refactor(auto_dream): improve recall workflow and documentation (#272)
* feat(file_store): add concurrency protection to LocalFileStore.dump() * feat(file_catalog): replace file_store with file_catalog in DreamStep * feat: add ChannelSink for Claude Code channel notifications * feat(auto-memory): add transcript_path support and enhance metadata |
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jinliyl
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d8086039dc
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refactor(Agentscope2.0): llm & embedding & agent (#271)
* refactor(embedding): replace embedding model with embedding store architecture - Remove as_token_counter component and its estimated token counter implementation - Replace BaseEmbeddingModel with BaseEmbedding that wraps AgentScope embedding models - Add support for multiple embedding providers (OpenAI, DashScope, Gemini, Ollama) - Introduce BaseEmbeddingStore and LocalEmbeddingStore for caching and persistence - Update component registry to use new embedding and embedding_store types - Modify file stores to use embedding_store instead of embedding_model - Update health check to monitor embedding_store instead of embedding_model - Change default config to use embedding_store with local backend - Add estimate_token_count utility function to utils module * refactor(llm): replace as_llm components with unified llm implementation - Remove deprecated as_llm and as_llm_formatter modules - Add new llm module with BaseLLM and provider-specific implementations - Update component registry to use LLM instead of AS_LLM - Replace all as_llm/as_llm_formatter references with llm in steps - Update configuration schema to use llm instead of as_llm - Rename integration test file from test_as_llm to test_llm - Add proper docstrings to embedding store dimension property - Add pylint disable comment for embedding model call - Remove unused FormatterBase import in base_step - Update token_utils with function docstring * refactor(evolve): replace ReActAgent with Agent and update message handling - Removed FlexReActAgent class and direct ReActAgent imports - Updated Agent instantiation to use new constructor parameters - Changed message content to use TextBlock format instead of plain strings - Modified timestamp access from msg.timestamp to msg.created_at - Updated metadata access pattern for structured outputs - Replaced Msg.from_dict with Msg.model_validate in auto_memory.py - Updated test mocks to patch Agent instead of ReActAgent - Changed message serialization from to_dict to model_dump in tests - Moved component references to base class definition - Updated demo tools to return strings instead of ToolResponse objects * feat(step): migrate to FunctionTool and add streaming support - Replace deprecated ToolResponse with FunctionTool in base_step.py - Remove unused TextBlock import from base_step.py - Update job registration to use new FunctionTool API - Add thinking_budget parameter to llm_demo configuration - Introduce StreamLLMDemoStep with streaming output capability - Add structured output support to LLMDemoStep via generate_structured_output - Implement streaming event handling for text/thinking/tool calls - Add integration tests for embedding functionality - Add integration tests for structured output and streaming features - Update tool usage in demo steps to use new function naming convention * fix(ci): correct package installation path in unittest workflow - Updated pip install command to use proper package path "./reme4[dev,core]" - Fixed dependency installation step in CI workflow configuration * chore(workflow): update python versions in unittest workflow - Remove Python 3.10 from test matrix - Add Python 3.11 to test matrix - Add Python 3.12 to test matrix - Keep Python 3.13 in test matrix - Update matrix configuration for better version coverage * fix(health): handle missing dimensions attribute in embedding status - Wrap dimensions access in try-except to prevent AttributeError - Return None when dimensions attribute is not available - Maintain backward compatibility for components without dimensions test(component): add comprehensive tests for BaseComponent and related classes - Add tests for Dependency class including repr and attribute access - Add tests for bind method with various scenarios and edge cases - Add tests for lifecycle management and async context handling - Add tests for standalone and context-bound dependency resolution - Add tests for ComponentMixin path utilities test(common): update LocalFileStore initialization parameter - Change embedding_model parameter to embedding_store in test setup - Update all affected test files consistently test(registry): add complete test suite for ComponentRegistry - Add tests for register method with explicit names and defaults - Add tests for decorator registration pattern - Add tests for get_all method returning copies - Add tests for unregister and clear operations - Add tests for error handling of invalid registrations test(job): add comprehensive tests for BaseJob and BackgroundJob - Add tests for step resolution and exception handling - Add tests for backoff delay calculation with jitter - Add tests for supervisor loop restart behavior - Add tests for task shutdown and cancellation test(prompt): add complete test suite for PromptHandler - Add tests for prompt loading from dictionaries and files - Add tests for internationalization and language fallback - Add tests for flag filtering and variable substitution - Add tests for format validation and error handling test(runtime): add basic tests for RuntimeContext dictionary access - Add tests for item getting, setting and containment checks - Add tests for missing key error handling * feat(evolve): add permission context and agent state management - Import PermissionContext, PermissionMode and AgentState modules - Add state configuration with bypass permission mode to AutoDream agents - Add state configuration with bypass permission mode to AutoMemory agents - Implement static _to_msg method for message validation and formatting - Refactor message processing to use the new _to_msg method - Ensure proper content structure for text blocks in message conversion * style(tests): update test files with linting rules and code improvements - Add missing pylint disable directives for docstring and attribute warnings - Replace lambda expressions with proper function definitions in test cases - Import Path directly instead of using lambda with __import__ - Simplify assertion checks by using truthiness instead of equality to empty dict - Remove unused imports and reorder imports consistently - Format dictionary literals with proper indentation and line breaks |
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jinliyl
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a4efc0f776
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refactor(reme4): restructure steps packages (#258)
* fix(bm25_index): 修正BM25索引计算中的文档长度归一化问题 修复了在计算BM25相似度时对文档长度进行不正确归一化的bug，确保所有查询都能得到准确的相关性评分。 * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * refactor(steps): Rename and adjust indexing step logic - Rename `scan_changes.py` and `reindex.py` to `clear_and_scan.py` - Update implementation details of `ScanChangesStep` and `ClearAndScanStep` - Modify the scheduling mechanism in `WatchChangesStep` - Adjust step registration and parameter configuration in config files - Update related tests to align with the new interface changes * up * feat(daily): replace daily CRUD operations with slug provisioning approach * refactor(tests): migrate CRUD step tests from HTTP server to direct LocalFileStore * up * up * up * up --------- Co-authored-by: huangsen <huangsen.huang@alibaba-inc.com> |
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Sen Huang
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bb354cc580
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refactor(steps): reorganize step modules and remove demo steps (#255)
* feat(config): add comprehensive job definitions for vault operations - Add utility jobs like version, search, traverse, list, read, stat - Include file operations like move, delete, upload, download - Add daily workspace management jobs: daily_list, daily_resolve, daily_reindex - Update descriptions to reflect vault-based operations instead of working_dir - Add proper section headers and documentation for each job category refactor(steps): reorganize step modules and remove demo steps - Move steps into categorized packages: common, crud, frontmatter, daily, jobs - Remove demo steps (DemoEchoStep1, DemoEchoStep2, StreamDemoStep1, StreamDemoStep2) - Add new steps: InitStep for vault initialization, TraverseStep for graph traversal - Update __init__.py to auto-import all step modules - Organize imports by functionality (common, CRUD operations, frontmatter, daily) feat(vault): implement vault-centric file operations and configuration - Change default config to use vault_dir instead of working_dir - Add environment variable support for embedding configuration - Implement file watcher with lite backend for daily/digest directories - Update search step to use 'name' instead of 'title' from frontmatter - Create ResourceEntry schema for tracking uploaded assets docs(steps): add comprehensive documentation for all step categories - Document file-I/O split by blast radius (crud vs frontmatter packages) - Add detailed descriptions for each step category and functionality - Explain the purpose and usage patterns for different types of file operations - Provide clear parameter documentation for all new job configurations * fix(config): correct vault directory path and remove unused job configurations - Fix vault_dir from 'vaultd' to 'vault' in default configuration - Remove deprecated traverse and list job configurations - Remove unused tag tooling configurations - Remove background watch_file job configuration refactor(steps): remove unused jobs module import - Comment out jobs module import in steps/__init__.py - This removes unused synchronizer and digester step registrations refactor(tests): update import path and add pylint directive - Update ResourceEntry import from reme4.schema to reme4.schema.resource_meta - Add pylint disable directive for unused argument in test datetime mocks * efactor(steps): remove unused modules from __all__ - Remove "background" module from __all__ list - Remove "jobs" module from __all__ list - These modules were no longer being used in the steps package * feat(config): update vault directory structure and remove file watcher - Change vault_dir reference from ./vault to ./vault in CLI example - Add daily_dir, digest_dir, and resource_dir configuration options - Remove file_watcher component configuration as it's no longer needed - Update comment to reflect correct module name (reme4vault) refactor(steps): add background step and remove deprecated init step - Import and register background step module - Remove deprecated InitStep from common steps - Update __all__ export list to include background step refactor(reindex): improve reindex step to scan vault directly - Update docstring to reflect vault scanning instead of watcher sync - Replace file watcher stop/start logic with direct vault path walking - Add support for suffix filtering during reindex operation - Use index_changes job to process found files refactor(wikilink_utils): enhance inbound source lookup with link scope - Import LinkScopeEnum for proper type handling - Update get_inlinks call to use ALL scope for virtual targets - Improve documentation for reverse-index lookup behavior test(refactor): clean up test suite removing deprecated functionality - Remove test_init_job and test_demo_job unit tests - Update help job assertion to check for literal command format - Change test directory from .reme to vault in CRUD tests - Remove init and demo job calls from integration test BREAKING CHANGE: Removes file_watcher component and init step * style(steps): fix import formatting in __init__.py Add proper spacing in the background module import statement to maintain consistent code style and readability. * refactor(config): change default vault directory from vault to .reme Default dev config now points vault_dir at ./.reme so `python -m reme4 start` can be run from the repo root and exercise the full atomic-tool surface against the seeded test data. BREAKING CHANGE: The default vault directory has been changed from 'vault' to '.reme' in the configuration. * docs(reme4_report): fix markdown formatting and remove extra content * refactor(file_parser): delegate wikilink extraction to WikilinkHandler * fix(search): handle empty query case gracefully - Replace assertion with conditional check for empty query - Set response success to false when query is empty - Return error message instead of throwing assertion error - Maintain existing validation for other parameters |
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Sen Huang
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db35cf792c
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refactor(mcp-client): update MCPClient to support runtime action (#250)
Update MCPClient to accept action parameter during method calls instead of requiring it during instantiation, making it consistent with the new client interface. fix(reme): update client usage patterns Update all client usages to pass action parameter during method calls instead of during client instantiation. |
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Sen Huang
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357415dd49
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feat: add Neo4j file graph support and markdown parser with wikilink extraction (#240)
* feat: add Neo4j file graph support and markdown parser with wikilink extraction - Add Neo4jFileGraph implementation for property-graph storage with virtual/real node handling and link management - Introduce LinkedFileParser for markdown files with frontmatter, wikilink graph extraction, and full-skeleton chunking - Update pyproject.toml to include pyyaml, mistletoe, and neo4j dependencies - Modify .gitignore to exclude /vault and structure.md - Change reme CLI entry point from reme_ai.main to remecli.reme - Register new neo4j and md components in respective registries * refactor(file-graph): add chunk_ids support to Neo4jFileGraph Add chunk_ids field to File node properties in Neo4jFileGraph to enable better content chunk tracking and management. BREAKING CHANGE: File node schema now includes chunk_ids property which may affect existing integrations. feat(parser): implement wikilink resolution logic Move path resolution logic from utils/path_resolver to linked_file_parser module and enhance wikilink resolution with folder-note rule support and improved error handling. fix(tests): update test assertions and variable names Update test cases to reflect changes in data structures and variable naming conventions across various components. chore(config): update package entry point reference Change reme CLI entry point from remecli.reme:main to reme_ai.reme:main in pyproject.toml. refactor(utils): remove deprecated path_resolver module Remove the old path_resolver utility module as its functionality has been moved to linked_file_parser. docs(file-graph): update Neo4jFileGraph documentation Update class docstrings and comments to reflect new chunk_ids property and other structural changes. style(formatting): adjust code formatting and line breaks Minor formatting improvements including line length optimization and consistent spacing adjustments throughout the codebase. * fix(pyproject.toml): correct entry point for reme command Change the entry point from "reme_ai.reme:main" to "reme_ai.main:main" to fix the module reference for the reme command in project scripts. |
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jinliyl
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e411eeb4c0
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dev/reme4 init merge (#236) |