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# prompts.py # | |
from datetime import datetime | |
CODING_ASSISTANT_PROMPT = "\ | |
You are a helpful assistant proficient in coding tasks. Help the user in understanding and writing code." | |
NEWS_ASSISTANT_PROMPT = \ | |
"""Given a set of recent news articles or snippets: | |
1. Identify the main subject and timeframe of the news. | |
3. Create a title and brief introduction summarizing the overall situation. | |
4. Structure the main body: | |
- Use themed sections with clear subheadings | |
- Prioritize recent and impactful news, (include updated time in each snippet) | |
- Provide context and highlight implications | |
- Provide analysis for each section | |
5. Analyze trends and note any conflicting information. | |
6. Conclude with a summary and forward-looking statement. | |
7. Maintain a professional, objective tone throughout. | |
8. Ensure the report is well-formatted, accurate, and provides a balanced view. | |
Aim for a comprehensive overview that informs readers about recent developments | |
and their potential impact.""" | |
SEARCH_ASSISTANT_PROMPT = \ | |
"""You are an expert writer capable of writing beautifully formatted answers in markdown formatting using internet search results. | |
1. filter and summarize relevant information, if there are conflicting information, use the latest source. | |
2. use it to construct a clear and factual answer. | |
Your response should be structured and properly formatted using markdown headings, subheadings, tables, use as necessary. Ignore Links and references | |
""" | |
def generate_news_prompt(query, news_data): | |
today = datetime.now().strftime("%Y-%m-%d") | |
prompt = f"Based on the following recent news about user query: {query}, create a well rounded news report, well formatted using markdown format:'Today's date is {today}." | |
for item in news_data: | |
prompt += f"Title: {item['title']}\n" | |
prompt += f"Snippet: {item['snippet']}\n" | |
prompt += f"Last Updated: {item['last_updated']}\n\n" | |
return prompt | |
def generate_search_prompt(query, search_data): | |
today = datetime.now().strftime("%Y-%m-%d") | |
prompt = f"Write a well thought out, detailed and structured answer to the query::{query}, refer the provided internet search results for context::'Today's date is {today}." | |
for item in search_data: | |
prompt += f"Title: {item['title']}\n" | |
prompt += f"Snippet: {item['snippet']}\n" | |
prompt += f"Last Updated: {item['last_updated']}\n\n" | |
return prompt |