Python Rate-Limiter using Leaky-Bucket Algorithm for controlling request rates in applications with multiple backend storage options.
81
Failing rate tracking
Rate Definition
100%
100%
Limiter Initialization
100%
100%
Non-blocking Acquisition
50%
50%
Failing Rate Access
26%
50%
Rate Information Extraction
46%
100%
Return Value Structure
100%
100%
MultiprocessBucket shared memory
Rate definition
100%
100%
Limiter initialization
100%
100%
try_acquire usage
60%
60%
Blocking mode
33%
53%
Non-blocking mode
33%
53%
Per-client routing
100%
100%
Basic limiter API (try_acquire)
Limiter initialization
50%
50%
Basic try_acquire usage
100%
100%
Non-blocking mode
66%
100%
Blocking mode
33%
33%
Timeout handling
33%
33%
Rate configuration
30%
30%
Resource cleanup
30%
50%
Decorator pattern for functions
Limiter initialization
80%
80%
Sync decorator usage
0%
50%
Async decorator usage
0%
50%
Weighted decorator implementation
20%
100%
Rate configuration correctness
100%
100%
Blocking behavior
100%
100%
BucketFactory routing patterns
BucketFactory usage
0%
100%
Rate configuration
100%
100%
Dynamic bucket creation
20%
100%
Limiter integration
100%
100%
Per-tenant isolation
100%
100%
Async/await support with try_acquire_async
Limiter instantiation
0%
100%
try_acquire_async usage
0%
0%
Async bucket configuration
0%
66%
Blocking behavior
0%
50%
Concurrent request handling
100%
100%
Identity/name parameter
0%
100%
MonotonicClock time source
MonotonicClock import
0%
100%
MonotonicClock instantiation
0%
100%
Timestamp capture
0%
100%
Elapsed time calculation
100%
100%
Average interval calculation
100%
100%
PostgresBucket ACID storage
PostgresBucket instantiation
100%
100%
Rate configuration
100%
100%
Limiter initialization
100%
100%
Rate limit checking
100%
100%
Bucket flushing
50%
30%
Resource cleanup
100%
100%
Custom backend development
AbstractBucket inheritance
0%
0%
Rate object usage
100%
100%
RateItem handling
100%
100%
Multiple rate enforcement
100%
100%
Leak implementation
100%
100%
Waiting calculation
100%
50%
Context manager
100%
100%
Thread synchronization
100%
100%
File persistence
100%
100%
RedisBucket distributed storage
RedisBucket initialization
0%
100%
Rate configuration
100%
100%
Limiter integration
66%
100%
Synchronous rate checking
100%
100%
Asynchronous rate checking
0%
100%
Wait time calculation
100%
100%
State management
100%
100%
Install with Tessl CLI
npx tessl i tessl/pypi-pyrate-limiter