Rename generate_with_claude.py to prompts.py

generate_with_claude.py → prompts.py

@@ -1,20 +1,87 @@
-def generate_with_claude(text, api_key, course_name="", section_name="", lesson_name=""):
-    client = Anthropic(api_key=api_key)
-    
-    segment_analysis_schema = TextSegmentAnalysis.model_json_schema()
-    
-    tools = [
-        {
-            "name": "build_segment_analysis",
-            "description": "Build the text segment analysis with quiz questions",
-            "input_schema": segment_analysis_schema
-        }
+SYSTEM_PROMPT = """You are an expert educational content analyzer. Your task is to analyze text content, 
+identify distinct segments, and create high-quality educational quiz questions for each segment."""
+
+ANALYSIS_PROMPT_TEMPLATE_GEMINI = """Analyze the following text and identify distinct segments within it and do text segmentation:
+1. Segments should be STRICTLY max=15
+2. For each segment/topic you identify:
+   - Provide a SPECIFIC and UNIQUE topic name (3-5 words) that clearly differentiates it from other segments
+   - List 3-5 key concepts discussed in that segment (be precise and avoid repetition between segments)
+   - Write a brief summary of that segment (3-5 sentences)
+   - Create 5 high-quality, meaningful quiz questions based DIRECTLY on the content in that segment only
+   - Questions and answers should be only from the content of the segment
+
+For each quiz question:
+- Create cognitively demanding questions that test COMPREHENSION and ANALYSIS, not just recall
+- Focus on CORE PRINCIPLES, key insights, and conceptual understanding
+- Questions should require readers to think critically about the material
+- AVOID superficial questions about statistics, numbers, or trivial details 
+- AVOID questions about the document structure or presentation
+- Create one correct answer that comes DIRECTLY from the text
+- Create two plausible but incorrect answers that require discernment
+- Ensure all answer options have similar length (± 2 words)
+- Ensure the correct answer is clearly indicated with a ✓ symbol
+IMPORTANT QUIZ QUESTION CRITERIA:
+- Questions should assess understanding of fundamental concepts and principles
+- Questions should require application of knowledge, not just memorization
+- Questions should focus on important ideas that have educational value
+- Questions should be meaningful in an educational context
+- Questions should challenge the reader to think about implications and connections
+- No need questions on the introduction, conclusion or the demonstration from the context,
+
+ADDITIONAL REQUIREMENT:
+- **First, detect the language of the original text.**
+- **Generate ALL output (topic names, key concepts, summaries, and quizzes) in the same language as the original text.**
+- If the text is in another language, generate responses in that original language.
+
+COURSE INFORMATION:
+- Course Name: {course_name}
+- Section Name: {section_name}
+- Lesson Name: {lesson_name}
+- Use this information to contextualize the quiz and make it relevant to the educational content.
+- Include this information in the JSON response structure.
+
+Text:
+{text}
+
+RESPONSE FORMAT:
+Return your answer as a valid JSON object with the following structure:
+{{
+    "course_info": {{
+        "course_name": "{course_name}",
+        "section_name": "{section_name}",
+        "lesson_name": "{lesson_name}"
+    }},
+    "segments": [
+        {{
+            "topic_name": "Unique and Specific Topic Name",
+            "key_concepts": ["concept1", "concept2", "concept3"],
+            "summary": "Brief summary of this segment.",
+            "quiz_questions": [
+                {{
+                    "question": "Question text?",
+                    "options": [
+                        {{
+                            "text": "Option A",
+                            "correct": false
+                        }},
+                        {{
+                            "text": "Option B",
+                            "correct": true
+                        }},
+                        {{
+                            "text": "Option C",
+                            "correct": false
+                        }}
+                    ]
+                }}
+            ]
+        }}
     ]
-    
-    system_prompt = """You are a helpful assistant specialized in text analysis and educational content creation. 
-    You analyze texts to identify distinct segments, create summaries, and generate quiz questions."""
-    
-    prompt = f"""Analyze the following text and identify distinct segments within it and do text segmentation:
+}}
+"""
+
+
+ANALYSIS_PROMPT_TEMPLATE_CLAUDE = """Analyze the following text and identify distinct segments within it and do text segmentation:
 1. Segments should be STRICTLY max=15
 2. For each segment/topic you identify:
    - Provide a SPECIFIC and UNIQUE topic name (3-5 words) that clearly differentiates it from other segments
@@ -61,28 +128,3 @@ Course information:
 - Ensure the quiz questions challenge the reader and are not easily guessable.
 - FOCUS ON CONCEPTUAL UNDERSTANDING, not trivial facts or statistics.
 """
-
-    try:
-        response = client.messages.create(
-            model="claude-3-5-sonnet-20241022",
-            max_tokens=8192,
-            temperature=0.7,
-            system=system_prompt,
-            messages=[
-                {
-                    "role": "user",
-                    "content": prompt
-                }
-            ],
-            tools=tools,
-            tool_choice={"type": "tool", "name": "build_segment_analysis"}
-        )
-        
-        # Extract the tool call content
-        if response.content and len(response.content) > 0 and hasattr(response.content[0], 'input'):
-            function_call = response.content[0].input
-            return function_call
-        else:
-            raise Exception("No valid tool call found in the response")
-    except Exception as e:
-        raise Exception(f"Error calling Anthropic API: {str(e)}")