Fix warning about Airflow version in venv not matching the Astro Runt…

…ime version

If you need access to connections inside the virtual environment the only way
right now to currently do that is install Airflow in it. However when launched
in Astro Runtime it failed wit this message:

> The version of Airflow installed for the /home/astro/.pyenv/versions/env1/bin/python(2.7.2)
> is different than the runtime Airflow version: 2.7.2+astro.3

This fixes that by making the check ignore the post release part.

We also needed to force plugins and providers to be lazy, other wise it
conflicts with the non-lazy plugins we have in Astro

provider/astronomer/providers/venv/decorators.py

@@ -38,6 +38,46 @@ def get_python_source(self):
         res = remove_task_decorator(res, self.custom_operator_name)
         return res
 
+    # Override the version from superclass to be tollerant of astro specific post releases.
+    def _get_airflow_version_from_target_env(self) -> str | None:
+        import subprocess
+
+        import airflow
+        from airflow.exceptions import AirflowConfigException
+        from packaging.version import Version
+
+        airflow_version = Version(airflow.__version__)
+        try:
+            result = subprocess.check_output(
+                [self.python, "-c", "from airflow import __version__; print(__version__)"],
+                text=True,
+                # Avoid Airflow logs polluting stdout.
+                env={
+                    **os.environ,
+                    "_AIRFLOW__AS_LIBRARY": "true",
+                    "AIRFLOW__CORE__LAZY_LOAD_PROVIDERS": "True",
+                    "AIRFLOW__CORE__LAZY_LOAD_PLUGINS": "True",
+                },
+            )
+            target_airflow_version = Version(result.strip())
+            if target_airflow_version.base_version != airflow_version.base_version:
+                raise AirflowConfigException(
+                    f"The version of Airflow installed for the {self.python}("
+                    f"{target_airflow_version}) is different than the runtime Airflow version: "
+                    f"{airflow_version}. Make sure your environment has the same Airflow version "
+                    f"installed as the Airflow runtime."
+                )
+            return target_airflow_version
+        except Exception as e:
+            if self.expect_airflow:
+                self.log.warning("When checking for Airflow installed in virtual environment got %s", e)
+                self.log.warning(
+                    f"This means that Airflow is not properly installed by  "
+                    f"{self.python}. Airflow context keys will not be available. "
+                    f"Please Install Airflow {airflow_version.base_version} in your environment to access them."
+                )
+            return None
+
 
 def venv_task(
     venv: str,