tessl install tessl/pypi-influxdb-client@1.49.0Comprehensive Python client library for InfluxDB 2.x with sync/async APIs for writing, querying, and managing time series data.
Agent Success
Agent success rate when using this tile
82%
Improvement
Agent success rate improvement when using this tile compared to baseline
1.19x
Baseline
Agent success rate without this tile
69%
{
"context": "This criteria evaluates the engineer's ability to use influxdb-client's write callback system to monitor batch write operations. The evaluation focuses on proper implementation of success, error, and retry callbacks, and correct configuration of batching write options.",
"type": "weighted_checklist",
"checklist": [
{
"name": "WriteOptions configuration",
"description": "Uses WriteOptions class to configure batch_size=5 and flush_interval=1000 milliseconds for batching behavior",
"max_score": 15
},
{
"name": "Write API initialization",
"description": "Correctly initializes write_api using client.write_api() with write_options parameter specifying WriteOptions for batching mode",
"max_score": 15
},
{
"name": "Success callback",
"description": "Implements and registers a success_callback function that accepts (conf, data) parameters and increments successful_batches counter",
"max_score": 20
},
{
"name": "Error callback",
"description": "Implements and registers an error_callback function that accepts (conf, data, exception) parameters, increments failed_batches counter, and captures error messages",
"max_score": 20
},
{
"name": "Retry callback",
"description": "Implements and registers a retry_callback function that accepts (conf, data, exception) parameters and increments retry_attempts counter",
"max_score": 20
},
{
"name": "Point construction",
"description": "Uses Point class with fluent API methods (measurement, tag, field, time) to construct data points for writing",
"max_score": 10
}
]
}