limdZGddZy)z&Prompt templates for LLM interactions.ceZdZdZdZdZdZy)PromptTemplatezPrompt template class.aYou are a professional parameter extraction assistant. Please extract spatial co-location pattern mining parameters from the user's natural language input. User Input: {user_input} Please return the extracted parameters in JSON format as follows: {{ "min_participation": float, // Minimum participation threshold (0.0-1.0) "max_pattern_size": int, // Maximum pattern size (1-10) "priority": string // Priority: "confidence", "participation", "size" }} If a parameter is not explicitly specified in the user input, please use reasonable default values: - min_participation: 0.6 - max_pattern_size: 5 - priority: "confidence" Important: Only return a JSON object, do not include any other text, explanations, dialogue history, or code. Return only one JSON object.aYou are a data mining expert. Please generate a concise and understandable English explanation for the following mining results. Mining Parameters: - Min Participation: {min_participation} - Max Pattern Size: {max_pattern_size} - Priority: {priority} The following are the mining results: {patterns} Please analyze from the following perspectives: 1. Spatial economics implications 2. Consumer behavior interpretation 3. Business layout insights 4. Practical application suggestions 5. Potential risks Requirements: - Must cite background knowledge - Provide specific reasons - Avoid vague statements - Use academic + business mixed style Please generate a concise explanation (approximately 400 words) describing the meaning and importance of these patterns.zyYou are a professional spatial data mining assistant, skilled at understanding user needs for co-location pattern mining.N)__name__ __module__ __qualname____doc__PREFERENCE_EXTRACTION_PROMPTEXPLANATION_GENERATION_PROMPT SYSTEM_PROMPTE/home/ubuntu/codebase/yexijia/保研/colocation_mvp/src/llm/prompt.pyrrs $N $%|!0TMr rN)rrr r r rs,-T-Tr