Spaces:
Running
on
Zero
Running
on
Zero
from collections import OrderedDict | |
from datetime import datetime | |
from typing import Optional | |
class CacheHandler: | |
def __init__(self, max_cache_size: int = 1000): | |
# Using OrderedDict to maintain the order of insertion for efficient removal of oldest items | |
self.cache = OrderedDict() | |
self.max_cache_size = max_cache_size | |
self.misses = 0 | |
self.hits = 0 | |
def add_to_cache( | |
self, url: str, title: str, text: str, summary_type: int, summary: str | |
): | |
# If URL already exists, update it and move it to the end to mark it as the most recently used | |
if url in self.cache: | |
self.cache.move_to_end(url) | |
self.cache[url][f"summary_{summary_type}"] = summary | |
self.cache[url]["date"] = datetime.now() | |
else: | |
# Add new entry to the cache | |
self.cache[url] = { | |
"title": title, | |
"text": text, | |
"date": datetime.now(), | |
"summary_0": summary if summary_type == 0 else None, | |
"summary_50": summary if summary_type == 50 else None, | |
"summary_100": summary if summary_type == 100 else None, | |
} | |
# Remove the oldest item if cache exceeds max size | |
if len(self.cache) > self.max_cache_size: | |
self.cache.popitem(last=False) # pop the oldest item | |
def get_from_cache(self, url: str, summary_type: int) -> Optional[tuple]: | |
if url in self.cache and self.cache[url][f"summary_{summary_type}"] is not None: | |
# Move the accessed item to the end to mark it as recently used | |
self.cache.move_to_end(url) | |
self.hits += 1 | |
return ( | |
self.cache[url]["title"], | |
self.cache[url]["text"], | |
self.cache[url][f"summary_{summary_type}"], | |
) | |
else: | |
self.misses += 1 | |
return None, None, None | |
def get_cache_stats(self): | |
return self.hits, self.misses, len(self.cache) | |