fix: 修复若干可用性问题
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@@ -1,4 +1,4 @@
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zmq_debug = true
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zmq_debug = false
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_zmq_debug_desc = "[调试] ZeroMQ 调试服务器, 这会在 zmq_debug_port 上打开一个服务器\n调试工具可远程在 HeurAMS 内执行任意 python 代码, 无必要请关闭"
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zmq_debug_port = 5555
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_zmq_debug_port_desc = "[调试] ZeroMQ 调试服务器端口"
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@@ -10,7 +10,7 @@ quick_pass = true
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_quick_pass_desc = "[调试] 启用快速应答功能(跳过测验)"
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auto_pass = false
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_auto_pass_desc = "[调试] 自动通过测试模式"
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scheduled_num = 420
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scheduled_num = 35
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_scheduled_num_desc = "默认记忆单元数量\n可被单元集设置覆盖"
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refresh_on_resume = true
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_refresh_on_resume_desc = "[调试] 每当 Screen 激活后都刷新状态"
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@@ -1,11 +0,0 @@
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algorithm = "NSP-0"
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_algorithm_desc = "记忆调度算法"
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scheduled_num = 35
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_scheduled_num_desc = "单次记忆单元数量"
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[_algorithm_candidate]
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NSP-0 = "筛选用非间隔重复调度器"
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none = "不设置默认调度器"
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SM-2 = "第二代 SuperMemo 简单间隔重复调度器"
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SM-15M = "第15代 SuperMemo 复杂间隔重复调度器 (不稳定且逆向工程)"
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FSRS = "先进开放间隔重复调度器"
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@@ -1,11 +0,0 @@
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algorithm = "NSP-0"
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_algorithm_desc = "记忆调度算法"
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scheduled_num = 35
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_scheduled_num_desc = "单次记忆单元数量"
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[_algorithm_candidate]
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NSP-0 = "筛选用非间隔重复调度器"
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none = "不设置默认调度器"
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SM-2 = "第二代 SuperMemo 简单间隔重复调度器"
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SM-15M = "第15代 SuperMemo 复杂间隔重复调度器 (不稳定且逆向工程)"
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FSRS = "先进开放间隔重复调度器"
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@@ -1,4 +1,4 @@
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provider = "openai"
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provider = "none"
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_provider_desc = "模型接口类型"
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[_provider_candidate]
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@@ -1,4 +1,4 @@
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provider = "webdav"
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provider = "none"
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_provider_desc = "同步服务驱动类型"
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[_provider_candidate]
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@@ -7,24 +7,6 @@ import pickle
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logger = get_logger(__name__)
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def environment_check():
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from pathlib import Path
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logger.debug("检查环境路径")
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subdir = ["cache/voice", "repo", "global", "config"]
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for i in subdir:
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i = Path(config_var.get()["global"]["paths"]["data"]) / i
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if not i.exists():
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logger.info("创建目录: %s", i)
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print(f"创建 {i}")
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i.mkdir(exist_ok=True, parents=True)
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else:
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logger.debug("目录已存在: %s", i)
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print(f"找到 {i}")
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logger.debug("环境检查完成")
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def start_debug_server(app):
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logger = get_logger("zmq_debug")
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context = zmq.Context()
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@@ -56,7 +38,6 @@ def start_debug_server(app):
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def main():
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environment_check()
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app = HeurAMSApp()
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@@ -66,10 +66,10 @@ class DashboardScreen(Screen):
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Vertical(
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Label(f"已加载 {len(self.repos)} 个单元集"),
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Label(
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f"共计 {reduce(lambda x, y: x + y, map(lambda x: x.progress['total'], self.repos))} 个单元"
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f"共计 {reduce(lambda x, y: x + y, map(lambda x: x.progress['total'], self.repos)) if self.repos else 0} 个单元"
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),
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Label(
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f"已激活 {reduce(lambda x, y: x + y, map(lambda x: x.progress['touched'], self.repos))} 个单元"
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f"已激活 {reduce(lambda x, y: x + y, map(lambda x: x.progress['touched'], self.repos)) if self.repos else 0} 个单元"
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),
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Label(f""),
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classes="right",
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@@ -160,8 +160,8 @@ class DashboardScreen(Screen):
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repo_list_widget.append(
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ListItem(
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Static(
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f"在 {config_var.get()['global']['paths']['repo']} 中未找到任何仓库.\n"
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"请导入仓库后重启应用, 或者新建空的仓库."
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f"在 {config_var.get()['global']['paths']['repo']} 中未找到任何单元集仓库目录.\n"
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"请导入单元集后重启应用, 或者新建单元集."
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),
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id="not-found",
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)
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@@ -21,8 +21,8 @@ logger = get_logger(__name__)
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# 全局 Scheduler 状态文件路径
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_SCHEDULER_STATE_FILE = pathlib.Path(
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config_var.get()["global"]["paths"]["data"]
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) / "global" / "fsrs_scheduler_state.json"
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config_var.get()["global"]["paths"]["misc"]
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) / "fsrs_scheduler_state.json"
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def _get_global_scheduler():
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@@ -600,9 +600,7 @@ class SM:
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# Global state management
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# ============================================================================
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_GLOBAL_STATE_FILE = pathlib.Path(
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config_var.get()["global"]["paths"]["data"]
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) / "global" / "sm15m_global_state.json"
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_GLOBAL_STATE_FILE = pathlib.Path(config_var.get()["global"]["paths"]["misc"]) / "sm15m_global_state.json"
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def _get_global_sm():
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