from langchain_core.prompts import PromptTemplate

router_instruction_prompt_1="""
You are tasked with analyzing user input to identify the most relevant keys from a dataset of user information. 
Each key provides specific details about the user. 
Your goal is to understand the query and conversation context to select the appropriate keys from which the user's data can help in providing accurate, personalised and actionable solutions.

1. name: The user's full name.
2. age: The user's age.
3. gender: The user's gender.
4. preferences: These are user's preferences.
5. personalInformation: These are user's personal information details.
6. relatedDemographics: Information pertaining to the user's geographic location and other demographic factors.
7. history: A record of the user's recent activities, including search history, recent purchases, places visited, and other relevant actions or events.
8. painPoints: The user's complaints, challenges, or issues they face.
9. inefficienciesOrQualityOfLifeImprovements: Areas where the user seeks improvement, along with potential solutions to increase efficiency or enhance their quality of life.
10. additionalNotes: Any extra information that might be relevant or helpful about the user.

Instructions:
- Analyze the user’s query and previous message to understand its purpose, context, and specific needs.
- Determine which keys (one or multiple) are most relevant to extract the required information to provide a comprehensive and actionable response.
- If no additional information is needed or no relevant details are found, route to None.
- Pay special attention to personalInformation if the user's financial situation or budget is relevant to the decision-making process.

Query: 
{query}

Previous Messages:
{previous_messages}

Format Instructions:
{format_instructions}
"""

summary_prompt_instructions_1="""
Given the following JSON data,query and previous messages condense all the information into a summary that captures all the details that may be relevant to providing solutions for the user query.
Include in the summary only those points that are relevant to the query or conversation context. If nothing was found, return ""
Query: 
{query}

Previous Messages:
{previous_messages}

Json Data:
{data}

Format Instructions:
{format_instructions}
"""

router_instruction_prompt_2=PromptTemplate.from_template("""
You are tasked with analyzing user input to identify the most relevant keys from a dataset of user information. 
Each key provides specific details about the user. 
Your goal is to understand the query and conversation context to select the appropriate keys from which the user's data can help in providing accurate, personalised and actionable solutions.

1. name: The user's full name.
2. age: The user's age.
3. gender: The user's gender.
4. preferences: These are user's preferences.
5. personalInformation: These are user's personal information details.
6. relatedDemographics: Information pertaining to the user's geographic location and other demographic factors.
7. history: A record of the user's recent activities, including search history, recent purchases, places visited, and other relevant actions or events.
8. painPoints: The user's complaints, challenges, or issues they face.
9. inefficienciesOrQualityOfLifeImprovements: Areas where the user seeks improvement, along with potential solutions to increase efficiency or enhance their quality of life.
10. additionalNotes: Any extra information that might be relevant or helpful about the user.

Instructions:
- Analyze the user’s query and previous message to understand its purpose, context, and specific needs.
- Determine which keys (one or multiple) are most relevant to extract the required information to provide a comprehensive, personalised and actionable response.
- If no additional information is needed or no relevant details are found, route to None.
- Pay special attention to personalInformation if the user's financial situation or budget is relevant to the decision-making process.

Query: 
{query}

Previous Messages:
{previous_messages}
""")

extract_prompt_instructions_2=PromptTemplate.from_template("""
Given the following JSON data,query and previous messages extract the information that may be relevant to providing solutions for the user query.

Instructions:
- Include in the summary only those points that are relevant to the query or conversation context.
- If nothing relevant was found, return "".
- Do not provide anything in your own words.

Query: 
{query}

Previous Messages:
{previous_messages}

Json Data:
{data}

""")

RESPONSE_PROMPT="""You are helpful assistant, Based on the User information and the query provide a response accordingly.
Do not Fabricate or provide false details
User information:
{user_information}

Query:
{query}
"""