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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,7 @@ def test_cached_function():
- Circuit breaker with graceful degradation
- Connection pooling with thread affinity (+28% throughput)
- Distributed locking prevents cache stampedes
- Pluggable backend abstraction (Redis, HTTP, DynamoDB, custom)
- Pluggable backend abstraction (Redis, File, HTTP, DynamoDB, custom)

> [!NOTE]
> All reliability features are **enabled by default** with `@cache.production`. Use `@cache.minimal` to disable them for maximum throughput.
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123 changes: 121 additions & 2 deletions docs/guides/backend-guide.md
Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,115 @@ def cached_function():
- Connection pooling built-in
- Supports large values (up to Redis limits)

### FileBackend

Store cache on the local filesystem with automatic LRU eviction:

```python
from cachekit.backends.file import FileBackend
from cachekit.backends.file.config import FileBackendConfig
from cachekit import cache

# Use default configuration
config = FileBackendConfig()
backend = FileBackend(config)

@cache(backend=backend)
def cached_function():
return expensive_computation()
```

**Configuration via environment variables**:

```bash
# Directory for cache files
export CACHEKIT_FILE_CACHE_DIR="/var/cache/myapp"

# Size limits
export CACHEKIT_FILE_MAX_SIZE_MB=1024 # Default: 1024 MB
export CACHEKIT_FILE_MAX_VALUE_MB=100 # Default: 100 MB (max single value)
export CACHEKIT_FILE_MAX_ENTRY_COUNT=10000 # Default: 10,000 entries

# Lock configuration
export CACHEKIT_FILE_LOCK_TIMEOUT_SECONDS=5.0 # Default: 5.0 seconds

# File permissions (octal, owner-only by default for security)
export CACHEKIT_FILE_PERMISSIONS=0o600 # Default: 0o600 (owner read/write)
export CACHEKIT_FILE_DIR_PERMISSIONS=0o700 # Default: 0o700 (owner rwx)
```

**Configuration via Python**:

```python
import tempfile
from pathlib import Path
from cachekit.backends.file import FileBackend
from cachekit.backends.file.config import FileBackendConfig

# Custom configuration
config = FileBackendConfig(
cache_dir=Path(tempfile.gettempdir()) / "myapp_cache",
max_size_mb=2048,
max_value_mb=200,
max_entry_count=50000,
lock_timeout_seconds=10.0,
permissions=0o600,
dir_permissions=0o700,
)

backend = FileBackend(config)
```

**When to use**:
- Single-process applications (scripts, CLI tools, development)
- Local development and testing
- Systems where Redis is unavailable
- Low-traffic applications with modest cache sizes
- Temporary caching needs

**When NOT to use**:
- Multi-process web servers (gunicorn, uWSGI) - use Redis instead
- Distributed systems - use Redis or HTTP backend
- High-concurrency scenarios - file locking overhead becomes limiting
- Applications requiring sub-1ms latency - use L1-only cache

**Characteristics**:
- Latency: p50: 100-500μs, p99: 1-5ms
- Throughput: 1000+ operations/second (single-threaded)
- LRU eviction: Triggered at 90%, evicts to 70% capacity
- TTL support: Yes (automatic expiration checking)
- Cross-process: No (single-process only)
- Platform support: Full on Linux/macOS, limited on Windows (no O_NOFOLLOW)

**Limitations and Security Notes**:

1. **Single-process only**: FileBackend uses file locking that doesn't prevent concurrent access from multiple processes. Do NOT use with multi-process WSGI servers.

2. **File permissions**: Default permissions (0o600) restrict access to cache files to the owning user. Changing these permissions is a security risk and generates a warning.

3. **Platform differences**: Windows does not support the O_NOFOLLOW flag used to prevent symlink attacks. FileBackend still works but has slightly reduced symlink protection on Windows.

4. **Wall-clock TTL**: Expiration times rely on system time. Changes to system time (NTP, manual adjustments) may affect TTL accuracy.

5. **Disk space**: FileBackend will evict least-recently-used entries when reaching 90% capacity. Ensure sufficient disk space beyond max_size_mb for temporary writes.

**Performance characteristics**:

```
Sequential operations (single-threaded):
- Write (set): p50: 120μs, p99: 800μs
- Read (get): p50: 90μs, p99: 600μs
- Delete: p50: 70μs, p99: 400μs

Concurrent operations (10 threads):
- Throughput: ~887 ops/sec
- Latency p99: ~30μs per operation

Large values (1MB):
- Write p99: ~15μs per operation
- Read p99: ~13μs per operation
```

### HTTPBackend

Store cache in HTTP API endpoints:
Expand Down Expand Up @@ -338,18 +447,27 @@ REDIS_URL=redis://localhost:6379/0
| Backend | Latency | Use Case | Notes |
|---------|---------|----------|-------|
| **L1 (In-Memory)** | ~50ns | Repeated calls in same process | Process-local only |
| **File** | 100μs-5ms | Single-process local caching | Development, scripts, CLI tools |
| **Redis** | 1-7ms | Shared cache across pods | Production default |
| **HTTP API** | 10-100ms | Cloud services, multi-region | Network dependent |
| **DynamoDB** | 100-500ms | Serverless, low-traffic | High availability |
| **Memcached** | 1-5ms | Alternative to Redis | No persistence |

### When to Use Each Backend

**Use FileBackend when**:
- You're building single-process applications (scripts, CLI tools)
- You're in development and don't have Redis available
- You need local caching without network overhead
- You have modest cache sizes (< 10GB)
- Your application runs on a single machine

**Use RedisBackend when**:
- You need sub-10ms latency
- You need sub-10ms latency with shared cache
- Cache is shared across multiple processes
- You need persistence options
- You're building a typical web application
- You require multi-process or distributed caching

**Use HTTPBackend when**:
- You're using a cloud cache service
Expand All @@ -364,9 +482,10 @@ REDIS_URL=redis://localhost:6379/0
- You need automatic TTL management

**Use L1-only when**:
- You're in development
- You're in development with single-process code
- You have a single-process application
- You don't need cross-process cache sharing
- You need the lowest possible latency (nanoseconds)

### Testing Your Backend

Expand Down
30 changes: 30 additions & 0 deletions src/cachekit/backends/file/__init__.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,30 @@
"""File-based backend for local disk caching.

This module provides a production-ready filesystem-based cache backend with:
- Thread-safe operations using reentrant locks and file-level locking
- Atomic writes via write-then-rename pattern
- LRU eviction based on disk usage thresholds
- TTL-based expiration with secure header format
- Security features (O_NOFOLLOW, symlink prevention)

Public API:
- FileBackend: Main backend implementation
- FileBackendConfig: Configuration class

Example:
>>> from cachekit.backends.file import FileBackend, FileBackendConfig
>>> config = FileBackendConfig(cache_dir="/tmp/cachekit")
>>> backend = FileBackend(config)
>>> backend.set("key", b"value", ttl=60)
>>> data = backend.get("key")
"""

from __future__ import annotations

from cachekit.backends.file.backend import FileBackend
from cachekit.backends.file.config import FileBackendConfig

__all__ = [
"FileBackend",
"FileBackendConfig",
]
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