The cleanup function loads all backup entries into memory as a list, even when only iterating through them once. For backup directories with thousands of backups, this is inefficient.
sorted() requires materializing the entire iterable into memory. The backup entries themselves contain stat information that could be large.
Proposed Solution
If the backup count is reasonable (<1000), current approach is fine. But could be optimized if needed:
Use a generator-based approach for very large backup sets
Only load backup names and dates, not full DirEntry objects
Process in chunks
Impact
Low - Only becomes a problem with thousands of backups, which is unlikely in normal use.
# cleanup_old_backups() loads all backups into memory
**Priority:** Low
**Component:** backup.py
**Type:** Performance
## Description
The cleanup function loads all backup entries into memory as a list, even when only iterating through them once. For backup directories with thousands of backups, this is inefficient.
## Location
`curateipsum/backup.py:179-180`
## Current Code
```python
all_backups = sorted(_iterate_backups(backups_dir),
key=lambda e: e.name, reverse=True)
```
## Problem
`sorted()` requires materializing the entire iterable into memory. The backup entries themselves contain stat information that could be large.
## Proposed Solution
If the backup count is reasonable (<1000), current approach is fine. But could be optimized if needed:
1. Use a generator-based approach for very large backup sets
2. Only load backup names and dates, not full DirEntry objects
3. Process in chunks
## Impact
**Low** - Only becomes a problem with thousands of backups, which is unlikely in normal use.
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cleanup_old_backups() loads all backups into memory
Priority: Low
Component: backup.py
Type: Performance
Description
The cleanup function loads all backup entries into memory as a list, even when only iterating through them once. For backup directories with thousands of backups, this is inefficient.
Location
curateipsum/backup.py:179-180Current Code
Problem
sorted()requires materializing the entire iterable into memory. The backup entries themselves contain stat information that could be large.Proposed Solution
If the backup count is reasonable (<1000), current approach is fine. But could be optimized if needed:
Impact
Low - Only becomes a problem with thousands of backups, which is unlikely in normal use.