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* 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>
85 lines
2 KiB
Python
85 lines
2 KiB
Python
"""Schema"""
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from .application_config import ApplicationConfig, ComponentConfig, JobConfig
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from .auto_fin import (
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AutoFinCurrentEvent,
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AutoFinEtfAnalysis,
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AutoFinEtfSelection,
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AutoFinEtfsOutput,
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AutoFinEventReference,
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AutoFinHistoricalEvent,
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AutoFinHistoricalOutput,
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AutoFinHistoricalReference,
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AutoFinReportOutput,
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AutoFinReturns,
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)
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from .daily_paper import (
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AnalyzedPaper,
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DailyPaperMarkdownOutput,
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PaperInfo,
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PaperPick,
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PaperPickList,
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)
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from .dream import (
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DreamExtractOutput,
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DreamState,
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DreamTopic,
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DreamUnit,
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IntegrateOutcome,
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ProactiveResult,
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TopicSelectionOutput,
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)
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from .emb_node import EmbNode
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from .file_chunk import FileChunk
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from .file_front_matter import FileFrontMatter
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from .graph_snapshot import GraphSnapshot, GraphSnapshotEdge, GraphSnapshotNode
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from .file_link import FileLink
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from .file_node import FileNode
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from .request import Request
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from .response import Response
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from .stream_chunk import StreamChunk
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from .token_usage import TokenUsage
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from .traverse_graph import TraverseGraph, TraverseGraphEdge, TraverseGraphNode
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__all__ = [
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"ApplicationConfig",
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"AutoFinCurrentEvent",
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"AutoFinEtfAnalysis",
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"AutoFinEtfSelection",
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"AutoFinEtfsOutput",
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"AutoFinEventReference",
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"AutoFinHistoricalEvent",
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"AutoFinHistoricalOutput",
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"AutoFinHistoricalReference",
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"AutoFinReportOutput",
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"AutoFinReturns",
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"ComponentConfig",
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"AnalyzedPaper",
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"DailyPaperMarkdownOutput",
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"DreamExtractOutput",
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"DreamState",
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"DreamTopic",
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"DreamUnit",
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"EmbNode",
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"FileChunk",
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"FileFrontMatter",
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"FileLink",
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"FileNode",
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"GraphSnapshot",
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"GraphSnapshotEdge",
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"GraphSnapshotNode",
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"IntegrateOutcome",
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"JobConfig",
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"PaperInfo",
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"PaperPick",
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"PaperPickList",
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"ProactiveResult",
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"Request",
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"Response",
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"StreamChunk",
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"TokenUsage",
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"TopicSelectionOutput",
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"TraverseGraph",
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"TraverseGraphEdge",
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"TraverseGraphNode",
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]
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