Pin the pydantic<2.0 for Airflow 2.6#2172
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Pull request overview
This PR restores a critical dependency constraint for Airflow 2.6 compatibility and removes an unnecessary manual dependency installation. The pydantic<2.0 constraint was accidentally removed in a previous PR and is being restored to prevent compatibility issues with Airflow 2.6, which requires Pydantic v1.x.
- Restored
pydantic<2.0pin for Airflow 2.6 to maintain compatibility - Removed manual
pyopenssl --upgradeinstallation as it's no longer needed
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tatiana
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Thanks for fixing this, @pankajastro !
pankajkoti
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Nov 27, 2025
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #2172 +/- ##
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Coverage 97.81% 97.81%
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Files 93 93
Lines 6006 6009 +3
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+ Hits 5875 5878 +3
Misses 131 131 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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michal-mrazek
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Dec 2, 2025
I accidentally removed the pinned pydantic<2.0 in PR astronomer#2161 while cleaning some redundant code, and CI also did not complain. This PR bring it back. This PR also remove manual installation of `pyopenssl`
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pankajkoti
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Dec 18, 2025
Breaking changes * Introduced in the PR #2080. The following functions are expected to be used internally only to Cosmos, so we hope these won't impact end-users, but we are documenting the changes just in case: - ``generate_task_or_group`` receives ``render_config`` instead of its individual configurations, such as ``test_behavior``, ``source_rendering_behavior`` and ``enable_owner_inheritance`` - ``create_task_metadata`` receives ``render_config`` instead of its individual configurations, such as ``test_behavior``, ``source_rendering_behavior`` and ``enable_owner_inheritance`` - ``create_task_metadata`` now expects the ``node_converters`` argument * Drop Python 3.9 support by @pankajastro in #2118 * Drop Airflow 2.4 support by @pankajastro in #2161 * Drop Airflow 2.5 support by @pankajastro in #2165 Features * Support applying ``node_converter`` at a task level instead of task group level by @anyapriya in #1759 * Allow overriding ``DbtProducerWatcherOperator`` parameters via ``ExecutionConfig.setup_operator_args`` by @pankajastro in #2133 * Use deferrable sensors by default in ``ExecutionMode.WATCHER`` by @pankajastro in #2084 * Support real-time consumer updates when using ``ExecutionMode.WATCHER`` and ``InvocationMode.SUBPROCESS`` by @pankajastro in #2152 * Update telemetry to v3 format with query parameters by @pankajkoti in #2192 * Add initial set of telemetry task listener metrics for Cosmos operators by @pankajkoti in #2195 Enhancements * Unify Airflow version handling into ``constants.py`` by @tatiana in #2089 * Refactor ``airflow/graph.py`` to simplify the code base by @tatiana in #2080 * Force watcher producer retries to zero by @pankajkoti in #2114 * Fail ``ExecutionMode.WATCHER`` consumer sensors immediately when the producer fails using Airflow context by @pankajkoti in #2126 * ``ExecutonMode.WATCHER``: fetch producer status asynchronously from the Airflow runtime so deferrable sensors fail immediately when the producer task fails by @pankajkoti in #2144 * Refactor ``ExecutionMode.WATCHER`` ``InvocationMode.SUBPROCESS`` log parser by @tatiana in #2183 * Replace map_index with is_mapped_task boolean in task telemetry metrics by @pankajkoti in #2210 * Collect cosmos profile metrics in task telemetry metrics by @pankajastro in #2198 * Remove unnecessary information from telemetry by @tatiana in #2211 Bug fixes * Clarify ``ExecutionMode.WATCHER`` deferrable failure messaging by @pankajkoti in #2124 * Remove empty test tasks when all tests are detached by @anyapriya in #2010 * Fix forwarding ``DbtProducerWatcherOperator`` ``dbt build`` flags by @michal-mrazek in #2127 * Add databricks oauth mock profile by @fjmacagno in #2164 * Register listeners in Airflow 3 plugin implementation by @pankajastro in #2187 * Fix resolution of ``packages-install-path`` when it uses ``env_var`` by @tatiana in #2194 * Fix ``template_fields`` in ``DbtConsumerWatcherSensor`` to include ``DbtRunLocalOperator`` template_fields`` by @tiovader and @emanuel-luis in #2209 * Emit asset events in ExecutionMode.AIRFLOW_ASYNC mode by @pankajastro in #2184 * Remove dag_run_id from telemetry tests by @tatiana in #2213 Docs * Document dataset-event limitation when using ``ExecutionMode.AIRFLOW_ASYNC`` by @varaprasadregani in #2143 * Expand ``ExecutionMode.KUBERNETES`` guidance by @tatiana in #2139 * Add docs for deferrable ``DbtConsumerWatcherSensor`` by @pankajastro in #2115 * Fix reStructuredText formatting by @dnskr in #2132 * Add docs for ``setup_operator_args`` param by @pankajastro in #2136 * Remove experimental flag for ``ExecutionMode.AIRFLOW_ASYNC`` by @pankajastro in #2153 * Clarify ``ExecutionMode.AIRFLOW_ASYNC`` dataset limits by @pankajkoti in #2167 * Update PRIVACY_NOTICE.rst by @tatiana in #2212 Others * Drop Python 3.9 support by @pankajastro in #2118 * Drop Airflow 2.4 support by @pankajastro in #2161 * Drop Airflow 2.5 support by @pankajastro in #2165 * Improve example DAG ``jaffle_shop_kubernetes.py`` by @tatiana in #2140 * Enable tests for Python 3.13 by @pankajastro in #2154 * Add Python 3.12 to CI integration tests matrix by @pankajastro in #2168 * Retry flaky Telemetry success test to stabilise CI by @pankajkoti in #2138 * Drop unused producer state xcom handling in ``ExecutionMode.WATCHER`` by @pankajkoti in #2145 * Remove unused Python3.9 uses from Github action CI by @pankajastro in #2117 * Run pre-commit on ``ExecutionMode.WATCHER`` modules by @pankajkoti in #2150 * Refactor: Use shared airflow version constant by @pankajkoti in #2157 * Pin ``pydantic<2.0`` for Airflow 2.6 compatibility by @pankajastro in #2172 * Remove duplicate ``dbt-duckdb`` dependency by @pankajastro in #2170 * Add targeted ``type: ignore`` for untyped decorators to fix ``mypy`` errors by @pankajastro in #2174 * Replace Legacy typing Aliases with Built-in Types for Python 3.10+ by @pankajastro in #2175 * Refactor to reuse ``load_method_from_module`` from ``_utils/importer.py`` by @pankajastro in #2176 * Remove try except block for cache import and unused python_version variable by @pankajastro in #2186 * Unpin Airflow to satisfy GitHub Security tab requirements by @pankajastro in #2171 * Update Python version for ``pyupgrade`` in ``pre-commit`` config by @pankajastro in #2190 * Add cooldown config in ``dependabot`` config by @pankajastro in #2189 * Adjust pre-commit so Python 3.10 or higher can be used by @tatiana in #2196 * Remove empty variables emission from telemetry metrics by @pankajkoti in #2197 * Reformat documented comments for historical URL formats by @pankajkoti in #2199 * Bump ``actions/checkout`` from ``5.0.0`` to ``5.0.1`` by @dependabot in #2135 * Bump ``actions/checkout`` to ``6.0.0`` in GitHub workflows by @dependabot in #2147 * Bump ``zizmorcore/zizmor-action`` from ``0.2.0`` to ``0.3.0`` by @dependabot in #2156 * Bump ``actions/checkout`` from ``5.0.1`` to ``6.0.0`` by @dependabot in #2155 * Bump ``actions/checkout`` from ``6.0.0`` to ``6.0.1`` by @dependabot in #2178 * Bump ``codecov/codecov-action`` from ``5.5.1`` to ``5.5.2`` by @dependabot in #2208 * pre-commit autoupdate by @pre-commit-ci[bot] in #2134, #2162, #2173, #2191, #2202 closes: astronomer/oss-integrations-private#275
tatiana
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Feb 11, 2026
**Context** Over the past few months, we have experienced recurring CI failures caused by dependency conflicts. These issues are not triggered by changes in Cosmos itself, but rather by unpinned and dynamically resolved dependencies. These conflicts have been disruptive, time-consuming to debug, and difficult to reproduce locally. Some recent examples: - #2268 - #2172 - #2076 - #1987 - #1909 - #1902 **Current Situation** We have tried several approaches to mitigate dependency issues: - Dynamically resolving dependencies while restricting requirements as little as possible - Handling Airflow version–specific dependencies individually - Sometimes relying on Airflow constraints (which do not include provider versions), sometimes not - Attempting to isolate dependencies in `pre-install-airflow.sh` More recently, however, Airflow began being reinstalled via `integration-setup.sh`, leading to overlapping installations and Python virtual environments with conflicting packages. Additionally, if we try to recreate the environment locally using the exact dependency list printed by the CI at the end of the “Install packages and dependencies” step, the environment cannot be created due to dependencies conflicts. This results in: - Non-deterministic Python package installation - CI failures that are difficult (or impossible) to reproduce locally - Significant frustration and lost engineering time **Proposed Approach** This PR proposes pinning dependencies more strictly to make our CI environments deterministic and reproducible. I do not believe this is a perfect solution. Some trade-offs include: - We will no longer automatically test against newly released dependency versions - Pinned versions may require manual updates, including potential security updates This PR also does not introduce pip constraints files (since we currently rely on pip install -r). However, it can be viewed as a step toward the approach discussed in: #967 I discussed this proposal with @pankajastro and @pankajkoti, and we agreed it is worth trying. If this strategy does not work well in practice, we can revert to the current approach. **Known Side Effects** The changes in this PR introduce a few limitations: - Tests no longer run the cross-project example DAG (dbt Loom) using the LoadMode.DBT_LS approach, as dbt Loom is now installed in a separate virtual environment due to dependency conflicts. - The S3 load manifest task is no longer executed in the corresponding DAG for Airflow 2.9, due to conflicts between aiobotocore and other dependencies.
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I accidentally removed the pinned pydantic<2.0 in PR #2161 while cleaning some redundant code, and CI also did not complain. This PR bring it back.
This PR also remove manual installation of
pyopenssl