search-prompts 1.3.0

A library for efficient text-based prompt search with resource monitoring.

Search Prompts

search-prompts is a library for efficient text search in Hugging Face datasets with resource monitoring (CPU, memory, network).

Installation

You can install the library via pip: pip install search-prompts

Example Usage

from search_prompts import search_prompts_with_monitoring

Search parameters

query = "You are an AI assistant" dataset_name = "rombodawg/Everything_Instruct" config_name = "default"

Perform search with resource monitoring

matching_prompts, resource_usage = search_prompts_with_monitoring( query=query, dataset_name=dataset_name, config_name=config_name, batch_size=1000, max_results=5, chunk_size=5000, monitor_interval=1, )

Perform search without resource monitoring

matching_prompts = search_prompts_direct( query=query, dataset_name=dataset_name, config_name=config_name, batch_size=1000, max_results=5, chunk_size=5000, )

Display search results

print("\nSearch Results:") if matching_prompts: for instruction in matching_prompts: print(f"- {instruction}") else: print("No matches found.")

Display resource usage

print("\nResource Usage During Execution:") print(f"Average CPU Usage: {resource_usage['avg_cpu_usage']:.2f}%") print(f"Peak Memory Usage: {resource_usage['peak_memory_usage']:.2f} MB") print(f"Network Data Sent: {resource_usage['network_sent_mb']:.2f} MB") print(f"Network Data Received: {resource_usage['network_recv_mb']:.2f} MB") print(f"Total Execution Time: {resource_usage['total_execution_time']:.2f} seconds")