Files
AI/참고/knowledge_agent-main/utils.py
2026-05-12 19:40:31 +09:00

44 lines
1.6 KiB
Python

# utils.py
import tiktoken
def format_bytes(byte_count):
"""
Formats an integer of bytes into a human-readable string in B, KB, or MB.
Args:
byte_count: An integer representing the number of bytes.
Returns:
A string formatted as B, KB, or MB with commas and no decimal places.
"""
if not isinstance(byte_count, int):
raise TypeError("Input must be an integer.")
if byte_count < 1024:
# Format as Bytes if less than 1 KB
return f"{byte_count:,} B"
elif byte_count < 1024 * 1024:
# Format as Kilobytes if less than 1 MB
kb_value = round(byte_count / 1024)
return f"{kb_value:,} KB"
else:
# Format as Megabytes for 1 MB or more
mb_value = round(byte_count / (1024 * 1024))
return f"{mb_value:,} MB"
def filter_content_for_summarization(content: str) -> str:
"""Truncates content to a safe number of tokens for the summarization model."""
MAX_TOKENS = 16384 # Cap content for summarization at 16k tokens for efficiency
try:
encoding = tiktoken.get_encoding("cl100k_base")
tokens = encoding.encode(content)
if len(tokens) > MAX_TOKENS:
truncated_tokens = tokens[:MAX_TOKENS]
return encoding.decode(truncated_tokens)
else:
return content
except Exception as e:
# Fallback to simple character truncation if tokenization fails
print(f"Token-based filtering failed: {e}. Falling back to character-based truncation.")
return content[:MAX_TOKENS * 4] # Rough approximation