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github-actions[bot]andJarek Potiuk cfbd70b66d [main] Upgrade important CI environment (#76278 )

* [main] CI: Upgrade important CI environment

* Ignore pydantic-ai's generic OpenAI-compatible provider in vendor drift checks

pydantic-ai-slim 2.63.0 adds a provider for any OpenAI-compatible endpoint. It needs a service name at construction and infer_model has no prefix for it, so a common.ai connection can never reach it and it is not a vendor the services page should list.

Generated-by: Claude Opus 5

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Jarek Potiuk <jarek@potiuk.com>

2026-11-02 19:39:05 +01:00

src/performance_dags/performance_dag

Enable the airflow.utils.timezone ban rule (#72022 )

2026-08-25 18:24:43 +02:00

tests

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.gitignore

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pyproject.toml

[main] Upgrade important CI environment (#76278 )

2026-11-02 19:39:05 +01:00

README.md

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README.md

Apache Airflow Performance Testing

This package contains performance testing utilities and DAGs for Apache Airflow.

Overview

The performance testing framework generates DAGs for performance testing purposes. The number of DAGs, tasks, and their structure can be controlled through environment variables.

Environment Variables

PERF_DAGS_COUNT - number of DAGs to generate
PERF_TASKS_COUNT - number of tasks in each DAG
PERF_START_DATE - if not provided current time - PERF_START_AGO applies
PERF_START_AGO - start time relative to current time used if PERF_START_DATE is not provided. Default 1h
SCHEDULE_INTERVAL_ENV - Schedule interval. Default @once
PERF_SHAPE - shape of DAG. See DagShape. Default NO_STRUCTURE

Installation

pip install -e .

License

Apache License 2.0