初始提交
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from .command import app
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__all__ = ['app']
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@@ -0,0 +1,163 @@
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import typer
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from cli.completion.providers import COMPLETION_PROVIDER_GATEWAY
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from cli.context import AllowProdOption, DryRunOption, EnvOption, OutputOption, YesOption
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from .controller import CacheCommandController
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app = typer.Typer(
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help='缓存相关命令',
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no_args_is_help=True,
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context_settings={'help_option_names': ['-h', '--help']},
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)
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_CACHE_COMMAND_CONTROLLER = CacheCommandController()
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@app.command('stats', help='查看缓存统计信息')
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def stats(
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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) -> None:
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"""
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查看缓存统计信息。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.stats(env, output)
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@app.command('keys', help='查看指定缓存名称下的键名列表')
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def keys(
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cache_name: str = typer.Argument(
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...,
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help='缓存名称',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_names,
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),
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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) -> None:
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"""
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查看指定缓存名称下的键名列表。
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:param cache_name: 缓存名称
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.keys(cache_name, env, output)
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@app.command('get', help='查看指定缓存内容')
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def get(
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cache_name: str = typer.Argument(
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...,
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help='缓存名称',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_names,
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),
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cache_key: str = typer.Argument(
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...,
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help='缓存键名',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_keys,
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),
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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) -> None:
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"""
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查看指定缓存内容。
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:param cache_name: 缓存名称
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:param cache_key: 缓存键名
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.get(cache_name, cache_key, env, output)
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@app.command('clear', help='执行缓存清理')
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def clear(
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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allow_prod: AllowProdOption = False,
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yes: YesOption = False,
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dry_run: DryRunOption = False,
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cache_name: str = typer.Option(
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'',
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'--cache-name',
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help='按缓存名称前缀清理',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_names,
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),
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cache_key: str = typer.Option('', '--cache-key', help='按缓存键名模糊清理'),
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clear_all: bool = typer.Option(False, '--all', help='清理全部缓存并重建系统基础缓存'),
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) -> None:
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"""
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清理缓存。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:param allow_prod: 是否允许生产环境危险命令
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:param yes: 是否跳过确认
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:param dry_run: 是否演练执行
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:param cache_name: 缓存名称前缀
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:param cache_key: 缓存键名
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:param clear_all: 是否清理全部缓存
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.clear(
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env,
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output,
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allow_prod,
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yes,
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dry_run,
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cache_name=cache_name,
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cache_key=cache_key,
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clear_all=clear_all,
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)
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@app.command('ttl', help='查看指定缓存键的剩余过期时间')
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def ttl(
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cache_name: str = typer.Argument(
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...,
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help='缓存名称',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_names,
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),
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cache_key: str = typer.Argument(
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...,
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help='缓存键名',
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autocompletion=COMPLETION_PROVIDER_GATEWAY.complete_cache_keys,
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),
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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) -> None:
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"""
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查看指定缓存键的剩余过期时间。
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:param cache_name: 缓存名称
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:param cache_key: 缓存键名
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.ttl(cache_name, cache_key, env, output)
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@app.command('warmup', help='执行系统缓存预热')
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def warmup(
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env: EnvOption = 'dev',
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output: OutputOption = 'text',
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allow_prod: AllowProdOption = False,
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yes: YesOption = False,
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) -> None:
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"""
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执行系统缓存预热。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:param allow_prod: 是否允许生产环境危险命令
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:param yes: 是否跳过确认
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:return: None
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"""
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_CACHE_COMMAND_CONTROLLER.warmup(env, output, allow_prod, yes)
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@@ -0,0 +1,183 @@
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from cli.core import (
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DEFAULT_CORE_SERVICES,
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CliContextFactory,
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CliExecutionService,
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)
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from cli.runtime.cache import CACHE_RUNTIME, CacheRuntimeService
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from .presenter import CacheCommandPresenter
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class CacheCommandController:
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"""
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缓存命令控制器。
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该控制器负责组织 `cache` 命令组的上下文准备、runtime 调用、
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payload 注入,以及基于输出格式选择 presenter 或直接返回 JSON。
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:param context_factory: CLI 上下文工厂
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:param execution_service: CLI 执行服务
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:param presenter: 缓存命令文本渲染器
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"""
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def __init__(
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self,
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*,
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context_factory: CliContextFactory | None = None,
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execution_service: CliExecutionService | None = None,
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presenter: CacheCommandPresenter | None = None,
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runtime_service: CacheRuntimeService | None = None,
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) -> None:
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"""
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初始化缓存命令控制器。
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:param context_factory: CLI 上下文工厂
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:param execution_service: CLI 执行服务
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:param presenter: 缓存命令文本渲染器
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:param runtime_service: 缓存运行时服务
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:return: None
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"""
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self.context_factory = context_factory or DEFAULT_CORE_SERVICES.context_factory
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self.execution_service = execution_service or DEFAULT_CORE_SERVICES.execution_service
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self.presenter = presenter or CacheCommandPresenter()
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self.runtime_service = runtime_service or CACHE_RUNTIME
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def stats(self, env: str, output: str) -> None:
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"""
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查看缓存统计信息。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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ctx = self.context_factory.build_readonly(env, output)
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payload = self.execution_service.run_async(self.runtime_service.get_cache_stats())
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self.execution_service.complete_payload_with_text(
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ctx,
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payload,
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text_builder=self.presenter.build_cache_stats_text,
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text_condition=lambda result_data: bool(result_data.get('ok', False)),
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)
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def keys(self, cache_name: str, env: str, output: str) -> None:
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"""
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查看指定缓存名称下的键名列表。
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:param cache_name: 缓存名称
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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ctx = self.context_factory.build_readonly(env, output)
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payload = self.execution_service.run_async(self.runtime_service.list_cache_keys(cache_name))
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self.execution_service.complete_payload_with_text(
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ctx,
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payload,
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text_builder=self.presenter.build_cache_keys_text,
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text_condition=lambda result_data: bool(result_data.get('ok', False)),
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)
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def get(self, cache_name: str, cache_key: str, env: str, output: str) -> None:
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"""
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查看指定缓存内容。
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:param cache_name: 缓存名称
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:param cache_key: 缓存键名
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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ctx = self.context_factory.build_readonly(env, output)
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payload = self.execution_service.run_async(self.runtime_service.get_cache_value(cache_name, cache_key))
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self.execution_service.complete_payload_with_text(
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ctx,
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payload,
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text_builder=self.presenter.build_cache_value_text,
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text_condition=lambda result_data: bool(result_data.get('ok', False)),
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)
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def clear(
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self,
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env: str,
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output: str,
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allow_prod: bool,
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yes: bool,
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dry_run: bool,
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*,
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cache_name: str,
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cache_key: str,
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clear_all: bool,
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) -> None:
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"""
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清理缓存。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:param allow_prod: 是否允许生产环境危险命令
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:param yes: 是否跳过确认
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:param dry_run: 是否演练执行
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:param cache_name: 缓存名称前缀
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:param cache_key: 缓存键名
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:param clear_all: 是否清理全部缓存
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:return: None
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"""
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ctx = self.context_factory.build_dangerous(
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env,
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output,
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allow_prod,
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yes,
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dry_run,
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command_name='cache clear',
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)
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self.execution_service.complete_payload(
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ctx,
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self.execution_service.run_async(
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self.runtime_service.clear_cache(
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cache_name=cache_name,
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cache_key=cache_key,
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clear_all=clear_all,
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dry_run=dry_run,
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)
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),
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)
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def ttl(self, cache_name: str, cache_key: str, env: str, output: str) -> None:
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"""
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查看指定缓存键的剩余过期时间。
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:param cache_name: 缓存名称
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:param cache_key: 缓存键名
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:param env: 当前命令运行环境
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:param output: 输出格式
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:return: None
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"""
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ctx = self.context_factory.build_readonly(env, output)
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payload = self.execution_service.run_async(self.runtime_service.get_cache_ttl(cache_name, cache_key))
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self.execution_service.complete_payload_with_text(
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ctx,
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payload,
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text_builder=self.presenter.build_cache_ttl_text,
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text_condition=lambda result_data: 'error' not in result_data,
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)
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def warmup(self, env: str, output: str, allow_prod: bool, yes: bool) -> None:
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"""
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执行系统缓存预热。
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:param env: 当前命令运行环境
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:param output: 输出格式
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:param allow_prod: 是否允许生产环境危险命令
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:param yes: 是否跳过确认
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:return: None
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"""
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ctx = self.context_factory.build_dangerous(
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env,
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output,
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allow_prod,
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yes,
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False,
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command_name='cache warmup',
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)
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self.execution_service.complete_payload(
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ctx, self.execution_service.run_async(self.runtime_service.warmup_cache())
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)
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@@ -0,0 +1,150 @@
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from cli.utils import SHELL_TEXT_FORMATTER
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class CacheCommandPresenter:
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"""
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缓存命令文本渲染器。
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该渲染器负责将 `cache` 命令组产生的结构化 payload 转换为稳定的文本摘要,
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同时保持 JSON 输出仍由控制器直接返回,不在此处做契约变形。
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"""
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def build_cache_stats_text(self, payload: dict[str, object]) -> str:
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"""
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将缓存统计结果渲染为文本摘要。
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:param payload: 缓存统计结果
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:return: 文本摘要
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"""
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info = payload.get('info')
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command_stats = payload.get('commandStats')
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cache_names = payload.get('cacheNames')
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redis_version = '-'
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connected_clients = '-'
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used_memory = '-'
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uptime_seconds = '-'
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keyspace_hits = '-'
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keyspace_misses = '-'
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if isinstance(info, dict):
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redis_version = info.get('redis_version', '-')
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connected_clients = info.get('connected_clients', '-')
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used_memory = info.get('used_memory_human', info.get('used_memory', '-'))
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uptime_seconds = info.get('uptime_in_seconds', '-')
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keyspace_hits = info.get('keyspace_hits', '-')
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keyspace_misses = info.get('keyspace_misses', '-')
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lines = [
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f'ok: {str(payload.get("ok", False)).lower()}',
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f'db_size: {payload.get("dbSize", 0)}',
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'redis:',
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f' version: {redis_version}',
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f' connected_clients: {connected_clients}',
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f' used_memory: {used_memory}',
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f' uptime_seconds: {uptime_seconds}',
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f' keyspace_hits: {keyspace_hits}',
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f' keyspace_misses: {keyspace_misses}',
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]
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if isinstance(command_stats, list) and command_stats:
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lines.append('command_stats_top10:')
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lines.extend(
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f' - {item.get("name", "-")}: {item.get("value", 0)}'
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for item in command_stats[:10]
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if isinstance(item, dict)
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)
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else:
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lines.append('command_stats_top10: none')
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if isinstance(cache_names, list) and cache_names:
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lines.append(f'cache_names: {len(cache_names)}')
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lines.append('cache_name_samples:')
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lines.extend(
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f' - {item.get("cacheName", "-")}: {self._build_cache_name_remark(item.get("remark", ""))}'
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for item in cache_names[:10]
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if isinstance(item, dict)
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)
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else:
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lines.append('cache_names: 0')
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return '\n'.join(lines)
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def build_cache_keys_text(self, payload: dict[str, object]) -> str:
|
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"""
|
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将缓存键列表结果渲染为文本摘要。
|
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|
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:param payload: 缓存键列表结果
|
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:return: 文本摘要
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"""
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keys = payload.get('keys')
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lines = [
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f'ok: {str(payload.get("ok", False)).lower()}',
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f'cache_name: {payload.get("cacheName", "")}',
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f'count: {payload.get("count", 0)}',
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]
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if not isinstance(keys, list) or not keys:
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lines.append('keys: none')
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return '\n'.join(lines)
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lines.append('keys:')
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lines.extend(f' - {key}' for key in keys)
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return '\n'.join(lines)
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|
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def build_cache_value_text(self, payload: dict[str, object]) -> str:
|
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"""
|
||||
将缓存值读取结果渲染为文本摘要。
|
||||
|
||||
:param payload: 缓存值读取结果字典
|
||||
:return: 文本摘要
|
||||
"""
|
||||
cache_value = '' if payload.get('cacheValue') is None else str(payload.get('cacheValue'))
|
||||
cache_value_lines = cache_value.splitlines() if cache_value else []
|
||||
if not cache_value_lines:
|
||||
rendered_value_lines = [' -']
|
||||
elif len(cache_value_lines) == 1:
|
||||
rendered_value_lines = [f' {SHELL_TEXT_FORMATTER.truncate_text(cache_value_lines[0], 200)}']
|
||||
else:
|
||||
rendered_value_lines = [' |', *[f' {line}' for line in cache_value_lines]]
|
||||
|
||||
return '\n'.join(
|
||||
[
|
||||
f'ok: {str(payload.get("ok", False)).lower()}',
|
||||
f'cache_name: {payload.get("cacheName", "")}',
|
||||
f'cache_key: {payload.get("cacheKey", "")}',
|
||||
f'full_cache_key: {payload.get("fullCacheKey", "")}',
|
||||
'cache_value:',
|
||||
*rendered_value_lines,
|
||||
]
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def build_cache_ttl_text(payload: dict[str, object]) -> str:
|
||||
"""
|
||||
将缓存 TTL 结果渲染为文本摘要。
|
||||
|
||||
:param payload: 缓存 TTL 结果字典
|
||||
:return: 文本摘要
|
||||
"""
|
||||
return '\n'.join(
|
||||
[
|
||||
f'ok: {str(payload.get("ok", False)).lower()}',
|
||||
f'cache_name: {payload.get("cacheName", "")}',
|
||||
f'cache_key: {payload.get("cacheKey", "")}',
|
||||
f'full_cache_key: {payload.get("fullCacheKey", "")}',
|
||||
f'message: {payload.get("message", "-")}',
|
||||
f'ttl_seconds: {payload.get("ttlSeconds", "-")}',
|
||||
f'persistent: {str(payload.get("persistent", False)).lower()}',
|
||||
f'expires: {str(payload.get("expires", False)).lower()}',
|
||||
]
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def _build_cache_name_remark(remark: object) -> str:
|
||||
"""
|
||||
规范化缓存名称备注文本。
|
||||
|
||||
:param remark: 原始备注
|
||||
:return: 规范化后的备注
|
||||
"""
|
||||
text = '' if remark is None else str(remark).strip()
|
||||
return text or '-'
|
||||
Reference in New Issue
Block a user