mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-08-28 05:25:04 +00:00
d5e0d2837b
Some checks failed
Tests ReMe / Unit Tests - py3.12 (push) Has been cancelled
Tests ReMe / Unit Tests - py3.13 (push) Has been cancelled
Windows Smoke / CLI smoke - py3.11 (push) Has been cancelled
Pre-commit / run (ubuntu-latest) (push) Has been cancelled
Tests ReMe / Unit Tests - py3.11 (push) Has been cancelled
* refactor: rebuild auto-fin and daily-paper cookbooks on structured-output agents Rework the auto-fin and daily-paper cookbooks to run on structured-output LLM agents instead of Claude Code agent wrappers, replace the SSH proxy with data-source mirrors, and rewrite the affected unit tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * refactor(auto_fin): unify JSON output serialization and writing - Extracted _write_output static method to serialize and write Pydantic models as compact JSON - Replaced inline JSON dump and write calls with _write_output usage across auto_fin steps - Added _report_path and _current_report for managing intra-day reports in AutoFinMergeStep - Updated auto_fin merge step to write output via new _write_output method - Enhanced news reading with caching in AutoFinHistoryStep - Refined returns calculation to handle events before close on non-trading days correctly feat(daily_paper): improve note path resolution and metadata handling - Introduced iter_note_metadata generator for safe Markdown frontmatter iteration - Added resolve_unique_note_path to avoid note filename conflicts on disk and in used titles - Updated analyze, collect, digest, and select steps to use centralized constants and helpers - Used utc_now_iso for consistent timestamping in metadata - Replaced direct frontmatter loads with iter_note_metadata in collect and analyze steps - Replaced hardcoded paper selection count with PAPER_COUNT constant in all relevant places - Added _MAX_SELECT_ATTEMPTS constant in select step for attempt management - Improved error messages for filename validation in daily paper title normalization feat(auto_fin): add multi-run cron schedules for intraday refinement - Defined three auto_fin cron jobs at 09:30, 11:30, and 18:00 Shanghai time for gradual report updates - Each intraday run adds evidence cumulatively instead of replacing prior output wholly - Updated daily_cookbook.yaml to register new cron schedules and remove legacy 12:00 cron refactor(auto_fin_data): clean ETF code handling and page limits - Replaced hardcoded DEFAULT_ETF_CODES with required non-empty config value "etf_codes" - Added constants for major news and fund page limits to control pagination - Improved ETF name extraction logic to handle missing fields consistently fix(auto_fin_merge): fix report retrieval and merging logic - Added support for getting current intra-day report in addition to previous day's report - Modified merge template to include prior and current report sections for better context - Adjusted report path handling to consistently use Path objects test(auto_fin): add coverage for returns calculation and report retrieval - Added test for returns when event occurs before close on non-trading day, checking next session entry - Added test for previous and current report retrieval feeding merge context with disk files - Extended test asserts for auto_fin cron schedule changes in config style(daily_paper): reorder and cleanup imports - Reorganized imports in _common.py for clarity and added missing collections.abc.Iterator import - Cleaned up commented and unused imports across daily_paper steps * feat: add configurable upstream mirror proxy * style: format auto-fin data step * fix: align cookbook mirrors and contracts --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
10 lines
616 B
YAML
10 lines
616 B
YAML
topic_user: |
|
||
你是 ETF 新闻关联分析 Agent。上下文已完整提供，不得搜索、调用工具或补充外部信息。
|
||
|
||
固定 ETF：{etfs}
|
||
今日 00:00 至当前时间的财联社新闻：{news}
|
||
|
||
只保留与 ETF 所代表资产、行业或主题真实且直接相关的新闻。弱相关、仅提及公司名称、无法说明
|
||
明确传导关系的新闻不要输出；没有相关新闻的 ETF 不要输出。etf_code、etf_name 和 news_id 必须逐字
|
||
复制输入，不得猜测或缩写。
|
||
按结构化输出契约返回 ETF 列表，以及每只 ETF 对应的 news_id 和 reason。
|