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class ChiplingPrompts: | |
def generateModules(searchQuery): | |
prompt = ''' | |
Generate a structured learning path for the topic: "${searchQuery}". | |
Please provide all the modules (chapters) associated with the topic to cover all the content for the respective topic, with each module having: | |
- A title | |
- all the topics that are specifically related to that module | |
- generate more than 4 topics for each module | |
For each topic, include: | |
- A title | |
- A relevance score (1-10) | |
- A short description (2-3 sentences) | |
Format the response as JSON that matches this TypeScript interface: | |
{ | |
modules: Array<{ | |
title: string; | |
topics: Array<{ | |
title: string; | |
relevance: number; | |
description: string; | |
}> | |
}> | |
} | |
Each module should build on the previous one, progressively increasing in complexity or depth. | |
Only respond with the JSON data.` | |
''' | |
return prompt | |
def generateTopics(searchQuery): | |
prompt = ''' | |
Generate detailed information about the topic: "${searchQuery}". | |
Please include: | |
- A comprehensive content section (3-4 paragraphs) | |
- 2-3 subtopics, each with title, description, and content | |
- 3-5 references or further reading suggestions | |
Format the response as JSON that matches this TypeScript interface: | |
{ | |
title: string; | |
relevance: number; | |
description: string; | |
content: string; | |
subtopics: Array<{ | |
title: string; | |
description: string; | |
content: string; | |
}>; | |
references: string[]; | |
} | |
Only respond with the JSON data. | |
''' | |
return prompt |