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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 yet concise overview that informs readers about recent developments | |
| and their potential impact.""" | |
| 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 |