from langchain_core.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate

system_template = '''The following are passages from the books and teachings of Paramhansa Yogananda, his disciples, or other
                sources related to the Self-Realization Fellowship / Yogoda Satsanga Society.
                Extract the most relevant quotes from the given passage that directly address the user's original query and are the most helpful and/or insipriational to the user. 
                Quotes can be up to three sentences long.
                Ensure that quotes are verbatim and provide specific information related to the query.
'''

system_message = SystemMessagePromptTemplate.from_template(system_template)


human_message_template = '''Here is the original query: {query} \n\n 

                   Here is the passage: {passage}
                   
                   Now think step-by-step and follow the instructions carefully:
                1. Read the original query carefully.
                2. Analyze the given passage and identify sections that directly address the query.
                3. Extract the most relevant quotes, ensuring they are verbatim from the passage.
                4. Rank the quotes based on their relevance and importance to the query.
                5. Return the top 3 most relevant quotes in the specified format.'''

human_message = HumanMessagePromptTemplate.from_template(human_message_template)


quote_finder_prompt = ChatPromptTemplate.from_messages([
    system_message, human_message
])