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pankajkotipankajastropre-commit-ci[bot]
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Fix CI failures (#2105)
Fix CI failures. Limit pandas to <2.2.0 as it breaks our tests. 2.2.0 was released on Jan 20, 2024 and there is an open issue reported for this pandas-dev/pandas#57053. We are getting the same error as reported in the issue. --------- Co-authored-by: Pankaj <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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-30
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python-sdk/pyproject.toml

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@@ -19,7 +19,7 @@ requires-python = ">=3.8"
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dependencies = [
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"apache-airflow>=2.7",
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"attrs>=20.3.0",
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"pandas",
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"pandas<2.2.0", # Versions 2.2.0 seems to be breaking our tests, so pin it to this version temporarily.
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"pyarrow",
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"python-frontmatter",
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"smart-open",

python-sdk/src/astro/sql/operators/dataframe.py

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@@ -13,7 +13,7 @@
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try:
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from airflow.decorators.base import TaskDecorator, task_decorator_factory
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except ImportError: # pragma: no cover
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from airflow.decorators import _TaskDecorator as TaskDecorator
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from airflow.decorators import _TaskDecorator as TaskDecorator # type: ignore[attr-defined]
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from airflow.decorators.base import task_decorator_factory
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from astro.constants import ColumnCapitalization, LoadExistStrategy

python-sdk/src/astro/sql/operators/raw_sql.py

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@@ -7,7 +7,7 @@
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try:
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from airflow.decorators.base import TaskDecorator
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except ImportError:
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from airflow.decorators import _TaskDecorator as TaskDecorator
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from airflow.decorators import _TaskDecorator as TaskDecorator # type: ignore[attr-defined]
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import airflow
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import pandas as pd

python-sdk/src/astro/sql/operators/transform.py

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@@ -6,7 +6,7 @@
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try:
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from airflow.decorators.base import TaskDecorator
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except ImportError:
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from airflow.decorators import _TaskDecorator as TaskDecorator
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from airflow.decorators import _TaskDecorator as TaskDecorator # type: ignore[attr-defined]
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from airflow.decorators.base import get_unique_task_id, task_decorator_factory
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from airflow.models.xcom_arg import XComArg

python-sdk/tests_integration/databases/test_snowflake.py

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@@ -82,32 +82,14 @@ def test_snowflake_create_table_with_columns(database_table_fixture):
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response = database.run_sql(statement, handler=lambda x: x.fetchall())
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rows = response
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assert len(rows) == 2
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assert rows[0] == (
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"ID",
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"NUMBER(38,0)",
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"COLUMN",
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"N",
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"IDENTITY START 1 INCREMENT 1 ORDER",
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"Y",
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"N",
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None,
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None,
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None,
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None,
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)
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assert rows[1] == (
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"NAME",
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"VARCHAR(60)",
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"COLUMN",
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"N",
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None,
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"N",
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"N",
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None,
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None,
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None,
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None,
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)
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assert rows[0][0] == "ID"
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assert rows[0][1] == "NUMBER(38,0)"
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assert rows[0][2] == "COLUMN"
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assert rows[1][0] == "NAME"
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assert rows[1][1] == "VARCHAR(60)"
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assert rows[1][2] == "COLUMN"
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@pytest.mark.integration

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