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。 ```
70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
import json
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import os
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import subprocess
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from pathlib import Path
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def test_create_instance_writes_default_max_tool_iterations(tmp_path) -> None:
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app_instance_dir = Path(__file__).resolve().parents[3]
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fake_bin = tmp_path / "bin"
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fake_bin.mkdir()
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docker = fake_bin / "docker"
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docker.write_text(
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"""#!/usr/bin/env bash
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set -euo pipefail
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case "${1:-}" in
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image)
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[[ "${2:-}" == "inspect" ]]
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exit 0
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;;
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container)
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[[ "${2:-}" == "inspect" ]]
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exit 1
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;;
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run)
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exit 0
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;;
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*)
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echo "unexpected docker command: $*" >&2
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exit 1
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;;
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esac
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""",
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encoding="utf-8",
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)
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docker.chmod(0o755)
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env = os.environ.copy()
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env["PATH"] = f"{fake_bin}:{env['PATH']}"
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instances_root = tmp_path / "instances"
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result = subprocess.run(
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[
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str(app_instance_dir / "create-instance.sh"),
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"--instance-id",
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"default-tools",
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"--auth-username",
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"steven",
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"--auth-password",
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"secret",
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"--skip-provider-config",
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"--host-port",
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"29001",
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"--instances-root",
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str(instances_root),
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"--registry",
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str(tmp_path / "registry.json"),
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"--skip-initial-skills",
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],
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cwd=app_instance_dir,
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env=env,
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text=True,
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capture_output=True,
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check=False,
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)
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assert result.returncode == 0, result.stderr
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config_path = instances_root / "default-tools" / "beaver-home" / "config.json"
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config = json.loads(config_path.read_text(encoding="utf-8"))
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assert config["agents"]["defaults"]["maxToolIterations"] == 100
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