性能改进

estimator.py

@@ -5,6 +5,7 @@ import particles as pt
 import datetime
 import pathlib
 import math
+import time
 
 MINIMAL_REPEATATION = 2
 FILTER = "ALL"
@@ -44,6 +45,9 @@ for i in filelist:
     metadata_note_cnt = 0
     metadata_kwrd_cnt = 0
     for i in nucu.nucleons:
+        if i.content[-1] != "/":
+            print('检测到不规范字符串')
+            print(i.content)
         content_cnt += len(i.content)
         metadata_trsl_cnt += len(str(i.metadata["translation"]))
         metadata_kwrd_cnt += len(str(i.metadata["keyword_note"]))
@@ -53,6 +57,7 @@ for i in filelist:
     print(" - 元数据字数: " + str(metadata_cnt) + f"\n = {metadata_trsl_cnt}[翻译] + {metadata_kwrd_cnt}[关键词] + {metadata_note_cnt}[笔记]")
     print(f" - 总文字数: {content_cnt + metadata_cnt}")
     print(f"独占记忆时间: {len(nucu.nucleons) / PAYLOAD} -> {math.ceil(len(nucu.nucleons) / PAYLOAD)}")
+    #time.sleep(0.1)
     text_counter += (content_cnt + metadata_cnt)
     content_counter += content_cnt
     time_counter += math.ceil(len(nucu.nucleons) / PAYLOAD)

metadata.py

@@ -1,3 +1,3 @@
 #!/usr/bin/env python3
-ver = "0.3.7"
-stage = "prototype"
+ver = "0.3.8"
+stage = "production"

reactor.py

@@ -41,7 +41,7 @@ class Glimpse():
 
 class Apparatus():
     """反应器对象, 决策一个原子的不同记忆方式, 并反馈到布局"""
-    def __init__(self, screen, reactor, atom):
+    def __init__(self, screen, reactor, atom, is_review = 0):
         self.electron: pt.Electron = atom[0]
         self.nucleon: pt.Nucleon = atom[1]
         self.positron: dict = atom[2]
@@ -56,11 +56,14 @@ class Apparatus():
                 continue
             if i == "fill_blank_test": # 加深
                 self.procession.append(comps.registry[i](screen, reactor, atom))
-                self.procession.append(comps.registry[i](screen, reactor, atom))
+                # self.procession.append(comps.registry[i](screen, reactor, atom))
             self.procession.append(comps.registry[i](screen, reactor, atom))
         # self.procession.reverse()
         random.shuffle(self.procession)
-
+        if self.positron["is_new_activation"] == 0:
+            self.procession.append(comps.registry['recognition'](screen, reactor, atom))
+        if is_review == 1:
+            self.procession = [self.procession[-2], self.procession[-1]]
     def iterator(self):
         yield from self.procession
 
@@ -69,6 +72,7 @@ class Reactor():
     """反应堆对象, 处理和分配一次文件记忆流程的资源与策略"""
     def __init__(self, nucleon_file: pt.NucleonUnion, electron_file: pt.ElectronUnion, screen, tasked_num):
         # 导入原子对象
+        self.stage = 0
         self.nucleon_file = nucleon_file
         self.electron_file = electron_file
         self.tasked_num = tasked_num
@@ -132,6 +136,7 @@ class Reactor():
             2: self.atoms_new,
             3: (self.atoms_new + self.atoms_review)
         }
+        self.stage = stage
         ret = 1
         if stage == 1 and len(processions[1]) == 0:
             stage = 2
@@ -163,7 +168,7 @@ class Reactor():
                 return -1 # 此轮已完成
         self.index += step
         self.current_atom = self.procession[self.index]
-        self.current_appar = Apparatus(self.screen, self, self.current_atom).iterator()
+        self.current_appar = Apparatus(self.screen, self, self.current_atom, (self.stage == 1)).iterator()
         return 0
 
     def save(self):

screens.py

@@ -19,7 +19,6 @@ from textual.screen import Screen
 from textual.worker import Worker, get_current_worker
 import pathlib
 import threading
-import edge_tts as tts
 from playsound import playsound
 import particles as pt
 from reactor import Reactor, Apparatus, Glimpse
@@ -95,6 +94,7 @@ class PrecachingScreen(Screen):
         cache = cache_dir / f"{aux.get_md5(text)}.wav"
         if not cache.exists():
             try:
+                import edge_tts as tts
                 communicate = tts.Communicate(text, "zh-CN-XiaoxiaoNeural")
                 communicate.save_sync(str(cache))
                 return True
@@ -216,7 +216,6 @@ class PrecachingScreen(Screen):
             self.precache_worker.cancel()
         self.app.exit()
 
-
 class MemScreen(Screen):
     BINDINGS = [
         ("d", "toggle_dark", "改变色调"),
@@ -331,6 +330,7 @@ class MemScreen(Screen):
             cache_dir.mkdir(parents=True, exist_ok=True)
             cache = cache_dir / f"{aux.get_md5(self.reactor.current_atom[1].content.replace('/',''))}.wav"
             if not cache.exists():
+                import edge_tts as tts
                 communicate = tts.Communicate(
                     self.reactor.current_atom[1].content.replace("/", ""),
                     "zh-CN-XiaoxiaoNeural",
@@ -475,7 +475,7 @@ class DashboardScreen(Screen):
             Label("选择待学习或待修改的记忆单元集:", classes="title-label"),
             ListView(id="file-list", classes="file-list-view"),
             #Button("新建空的单元集", id="new_nucleon_button"),
-            Button("预缓存所有音频", id="precache_all_button", variant="success"),
+            Button("音频预缓存实用程序", id="precache_all_button"),
             Label(f"\"潜进\" 开放源代码软件项目 | 版本 {metadata.ver} {metadata.stage.capitalize()} | Wang Zhiyu 2025"),
         )
         yield Footer()

sync_t.py

@@ -0,0 +1 @@
+# 同步工具 原型