将flask改成fastapi

rag/prompts/toc_detection.md

@@ -0,0 +1,29 @@
+You are an AI assistant designed to analyze text content and detect whether a table of contents (TOC) list exists on the given page. Follow these steps:  
+
+1. **Analyze the Input**: Carefully review the provided text content.  
+2. **Identify Key Features**: Look for common indicators of a TOC, such as:  
+   - Section titles or headings paired with page numbers.
+   - Patterns like repeated formatting (e.g., bold/italicized text, dots/dashes between titles and numbers).  
+   - Phrases like "Table of Contents," "Contents," or similar headings.  
+   - Logical grouping of topics/subtopics with sequential page references.  
+3. **Discern Negative  Features**:
+   - The text contains no numbers, or the numbers present are clearly not page references (e.g., dates, statistical figures, phone numbers, version numbers).
+   - The text consists of full, descriptive sentences and paragraphs that form a narrative, present arguments, or explain concepts, rather than succinctly listing topics.
+   - Contains citations with authors, publication years, journal titles, and page ranges (e.g., "Smith, J. (2020). Journal Title, 10(2), 45-67.").
+   - Lists keywords or terms followed by multiple page numbers, often in alphabetical order.
+   - Comprises terms followed by their definitions or explanations.
+   - Labeled with headers like "Appendix A," "Appendix B," etc.
+   - Contains expressive language thanking individuals or organizations for their support or contributions.
+4. **Evaluate Evidence**: Weigh the presence/absence of these features to determine if the content resembles a TOC.
+5. **Output Format**: Provide your response in the following JSON structure:  
+   ```json  
+   {  
+     "reasoning": "Step-by-step explanation of your analysis based on the features identified." ,
+     "exists": true/false
+   }  
+   ```  
+6. **DO NOT** output anything else except JSON structure.
+
+**Input text Content ( Text-Only Extraction ):**  
+{{ page_txt }} 
+