spark-advisor-models
Shared Pydantic models and configuration for the spark-advisor ecosystem.
Install
pip install spark-advisor-models
What's inside
- Spark job metrics — stages, executors, tasks, quantile distributions (
model/metrics.py) - Analysis output — recommendations, severity levels, causal chains (
model/output.py) - AI tool schemas — input/output models for Claude API, generated from Pydantic (
model/input.py) - Spark config wrapper — typed access to spark.* properties (
model/spark_config.py) - Shared configuration — rule thresholds, AI settings, NATS settings (
config.py,settings.py) - Structured logging —
configure_logging(),bind_nats_context(),nats_handler_context()(logging.py) - Distributed tracing — OpenTelemetry W3C Traceparent propagation via NATS headers (
tracing.py) - Utilities — byte formatting, statistics helpers (
util/)
Usage
from spark_advisor_models.model.metrics import JobAnalysis, StageMetrics
from spark_advisor_models.config import Thresholds, AiSettings
Links
License
Apache 2.0
1 maintainer
Metadata
1 maintainer
Release files for spark-advisor-models 0.1.21
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| File | Size | Uploaded | Provenance | Actions |
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| spark_advisor_models-0.1.21.tar.gz | 16.9 kB | Without provenance | Details for spark_advisor_models-0.1.21.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| spark_advisor_models-0.1.21-py3-none-any.whl | Python 3 | none | any | Details for spark_advisor_models-0.1.21-py3-none-any.whl |
Total release size: 36.7 kB
Release files / spark_advisor_models-0.1.21.tar.gz
| Download URL | spark_advisor_models-0.1.21.tar.gz |
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| Tags | Source |
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Release files / spark_advisor_models-0.1.21-py3-none-any.whl
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