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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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