add context_flag and context_paragraph_limit option for claude

book_maker/translator/__init__.py

@@ -26,6 +26,7 @@ MODEL_DICT = {
     "claude-3-5-sonnet-20240620": Claude,
     "claude-3-5-haiku-latest": Claude,
     "claude-3-5-haiku-20241022": Claude,
+    "claude-3-5-haiku-20240620": Claude,
     "gemini": Gemini,
     "geminipro": Gemini,
     "groq": GroqClient,

book_maker/translator/claude_translator.py

@@ -13,19 +13,27 @@ class Claude(Base):
         language,
         api_base=None,
         prompt_template=None,
+        prompt_sys_msg=None,
         temperature=1.0,
+        context_flag=False,
+        context_paragraph_limit=5,
         **kwargs,
     ) -> None:
         super().__init__(key, language)
-        self.api_url = f"{api_base}" if api_base else "https://api.anthropic.com"
+        self.api_url = api_base or "https://api.anthropic.com"
         self.client = Anthropic(base_url=api_base, api_key=key, timeout=20)
         self.model = "claude-3-5-sonnet-20241022"  # default it for now
         self.language = language
         self.prompt_template = (
             prompt_template
-            or "\n\nHuman: Help me translate the text within triple backticks into {language} and provide only the translated result.\n```{text}```\n\nAssistant: "
+            or "Help me translate the text within triple backticks into {language} and provide only the translated result.\n```{text}```"
         )
+        self.prompt_sys_msg = prompt_sys_msg or ""
         self.temperature = temperature
+        self.context_flag = context_flag
+        self.context_list = []
+        self.context_translated_list = []
+        self.context_paragraph_limit = context_paragraph_limit
 
     def rotate_key(self):
         pass
@@ -33,23 +41,71 @@ class Claude(Base):
     def set_claude_model(self, model_name):
         self.model = model_name
 
+    def create_messages(self, text, intermediate_messages=None):
+        """Create messages for the current translation request"""
+        current_msg = {"role": "user", "content": self.prompt_template.format(
+            text=text,
+            language=self.language,
+        )}
+
+        messages = []
+        if intermediate_messages:
+            messages.extend(intermediate_messages)
+        messages.append(current_msg)
+
+        return messages
+
+    def create_context_messages(self):
+        """Create a message pair containing all context paragraphs"""
+        if not self.context_flag or not self.context_list:
+            return []
+
+        # Create a single message pair for all previous context
+        return [
+            {
+                "role": "user",
+                "content": self.prompt_template.format(
+                    text="\n\n".join(self.context_list),
+                    language=self.language,
+                )
+            },
+            {
+                "role": "assistant",
+                "content": "\n\n".join(self.context_translated_list)
+            }
+        ]
+
+    def save_context(self, text, t_text):
+        """Save the current translation pair to context"""
+        if not self.context_flag:
+            return
+
+        self.context_list.append(text)
+        self.context_translated_list.append(t_text)
+
+        # Keep only the most recent paragraphs within the limit
+        if len(self.context_list) > self.context_paragraph_limit:
+            self.context_list.pop(0)
+            self.context_translated_list.pop(0)
+
     def translate(self, text):
         print(text)
         self.rotate_key()
-        prompt = self.prompt_template.format(
-            text=text,
-            language=self.language,
-        )
-        message = [{"role": "user", "content": prompt}]
+
+        # Create messages with context
+        messages = self.create_messages(text, self.create_context_messages())
+
         r = self.client.messages.create(
             max_tokens=4096,
-            messages=message,
+            messages=messages,
+            system=self.prompt_sys_msg,
             temperature=self.temperature,
             model=self.model,
         )
         t_text = r.content[0].text
-        # api limit rate and spider rule
-        time.sleep(1)
+
+        if self.context_flag:
+            self.save_context(text, t_text)
 
         print("[bold green]" + re.sub("\n{3,}", "\n\n", t_text) + "[/bold green]")
         return t_text