steven_li
83d9d8c200
feat(learning): 添加技能学习候选者合成锁定机制 添加了 DraftSynthesisInProgress 和 DraftHasNoChanges 异常来处理并发场景， 确保同一技能学习候选者的合成过程不会重复执行。实现了 claim_learning_candidate_for_synthesis 方法来原子性地锁定候选者进行合成。 fix(web): 为技能草案创建端点添加适当的HTTP状态码 当草案没有变化或正在合成时，现在正确返回409状态码而不是内部错误。 feat(skills): 实现技能修订内容比较以检测无变化情况 添加了 _is_noop_revision 方法来比较基础技能和提议的修订， 如果内容没有实际变化则抛出 NoDraftChanges 异常。 refactor(process): 修复任务证据记录后根运行状态更新逻辑 将任务证据记录事件后的状态从 waiting 更改为 done，并设置 finished_at 时间戳。 feat(tools): 防止在同一运行中重复执行外部写入操作 为邮件发送、日历创建等外部写入工具添加去重机制，避免重复的外部操作。 test: 添加技能学习和工具执行的单元测试 增加测试用例验证并发草案合成、重复外部写入抑制和无变化修订检测等功能。 ```
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
"""Skill learning loop helpers."""
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from .case_selection import select_replay_cases
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from .evidence import EvidencePacket, EvidenceSelector
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from .eval import SkillDraftEvaluator
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from .missing_skill import (
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EphemeralGuidanceResult,
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EphemeralGuidanceSynthesizer,
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MissingSkillDraftResult,
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MissingSkillSynthesizer,
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)
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from .pipeline import DraftHasNoChanges, DraftSynthesisInProgress, SkillLearningPipelineService
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from .preservation import check_preservation
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from .replay import ReplayArmRequest, ReplayRunner, ReplayToolExecutor, ReplayToolPolicy, classify_tool_mode
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from .service import RunReceiptContext, SkillLearningService
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from .surrogate import SurrogateToolEvaluator
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from .synthesizer import SkillDraftSynthesizer
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from .worker import SkillLearningWorker, SkillLearningWorkerConfig, SkillLearningWorkerResult
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__all__ = [
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"select_replay_cases",
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"EvidencePacket",
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"EvidenceSelector",
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"SkillDraftEvaluator",
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"EphemeralGuidanceResult",
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"EphemeralGuidanceSynthesizer",
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"MissingSkillDraftResult",
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"MissingSkillSynthesizer",
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"RunReceiptContext",
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"DraftHasNoChanges",
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"DraftSynthesisInProgress",
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"SkillLearningPipelineService",
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"check_preservation",
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"ReplayToolExecutor",
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"ReplayToolPolicy",
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"ReplayArmRequest",
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"ReplayRunner",
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"classify_tool_mode",
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"SurrogateToolEvaluator",
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"SkillDraftSynthesizer",
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"SkillLearningService",
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"SkillLearningWorker",
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"SkillLearningWorkerConfig",
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"SkillLearningWorkerResult",
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]
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