Version 1.7.6 (#209) (#210)

* Fix KeyError when calculating dwpt dynamically (#209)

* Initial plan

* Fix KeyError in calculate_dwpt when required columns are missing

Co-authored-by: clampr <12759785+clampr@users.noreply.github.com>

* Fix linting issues: remove trailing whitespace and unused import

Co-authored-by: clampr <12759785+clampr@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: clampr <12759785+clampr@users.noreply.github.com>

* chore: bump version

* fix: update issue link

* chore: fix md linting

---------

Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: clampr <12759785+clampr@users.noreply.github.com>

Author: clampr

.github/prompts/bump-version.prompt.md

@@ -0,0 +1,15 @@
+---
+mode: 'agent'
+description: 'Bump version prompt'
+---
+
+# Bump Version
+
+Bump the version of the Meteostat Python library.
+
+New version number: ${input:version:Specify the new version number (e.g., 1.2.3)}
+
+Update the following files:
+
+- meteostat/__init__.py
+- setup.py

meteostat/__init__.py

@@ -12,7 +12,7 @@
 """
 
 __appname__ = "meteostat"
-__version__ = "1.7.5"
+__version__ = "1.7.6"
 
 from .interface.base import Base
 from .interface.timeseries import TimeSeries

meteostat/utilities/mutations.py

@@ -67,6 +67,10 @@ def calculate_dwpt(df: pd.DataFrame, col: str) -> pd.DataFrame:
     """
     Calculate dew point temperature
     """
+    # Check if required columns exist
+    if "temp" not in df.columns or "rhum" not in df.columns:
+        return df
+
     magnus_const_a = 17.27
     magnus_const_b = 237.7  # degrees Celsius
 

setup.py

@@ -15,7 +15,7 @@
 # Setup
 setup(
     name="meteostat",
-    version="1.7.5",
+    version="1.7.6",
     author="Meteostat",
     author_email="info@meteostat.net",
     description="Access and analyze historical weather and climate data with Python.",

tests/e2e/test_point_long_period.py

@@ -0,0 +1,36 @@
+"""
+E2E Test - Point Class with Long Period
+
+Tests that Point data retrieval works correctly over long periods
+where some stations may have missing data.
+
+The code is licensed under the MIT license.
+"""
+
+from datetime import datetime
+from meteostat import Point, Hourly
+
+
+def test_point_long_period():
+    """
+    Test: Point data retrieval over long period (1990-2023)
+
+    This test verifies that the KeyError is not raised when trying to get
+    hourly data from a point over a long time period where some stations
+    may have missing data for certain years.
+
+    Issue: https://github.com/meteostat/meteostat-python/issues/208
+    """
+
+    # Create Point (coordinates from the original issue)
+    location = Point(52.9, 11.5, 23)
+    start = datetime(1990, 1, 1)
+    end = datetime(2023, 12, 31)
+
+    # This should not raise a KeyError
+    data = Hourly(location, start, end)
+    result = data.fetch()
+
+    # Verify that we get some data (may be empty or have data, but shouldn't crash)
+    assert result is not None
+    assert isinstance(result.index.name, str) or result.index.name is None

tests/unit/utilities/test_mutations.py

@@ -0,0 +1,66 @@
+"""
+Unit Test - Mutations Module
+
+Tests for the mutations utility functions.
+
+The code is licensed under the MIT license.
+"""
+
+import pandas as pd
+from meteostat.utilities.mutations import calculate_dwpt
+
+
+def test_calculate_dwpt_with_missing_columns():
+    """
+    Test: calculate_dwpt() with missing required columns
+
+    When the dataframe doesn't have the required 'temp' or 'rhum' columns,
+    the function should return the dataframe unchanged without raising a KeyError.
+    """
+
+    # Create an empty dataframe
+    df = pd.DataFrame()
+    result = calculate_dwpt(df, "dwpt")
+    assert result.equals(df)
+
+    # Create a dataframe with only temp column
+    df_temp_only = pd.DataFrame({"temp": [20.0, 21.0, 22.0]})
+    result = calculate_dwpt(df_temp_only, "dwpt")
+    assert result.equals(df_temp_only)
+    assert "dwpt" not in result.columns
+
+    # Create a dataframe with only rhum column
+    df_rhum_only = pd.DataFrame({"rhum": [80.0, 85.0, 90.0]})
+    result = calculate_dwpt(df_rhum_only, "dwpt")
+    assert result.equals(df_rhum_only)
+    assert "dwpt" not in result.columns
+
+
+def test_calculate_dwpt_with_valid_columns():
+    """
+    Test: calculate_dwpt() with valid required columns
+
+    When the dataframe has both 'temp' and 'rhum' columns,
+    the function should calculate the dew point temperature.
+    """
+
+    # Create a dataframe with both required columns
+    df = pd.DataFrame({
+        "temp": [20.0, 15.0, 10.0],
+        "rhum": [80.0, 70.0, 60.0],
+        "temp_flag": ["A", "A", "B"],
+        "rhum_flag": ["A", "B", "A"]
+    })
+
+    result = calculate_dwpt(df, "dwpt")
+
+    # Check that dwpt column was added
+    assert "dwpt" in result.columns
+    assert "dwpt_flag" in result.columns
+
+    # Check that dwpt values are numeric and rounded to 1 decimal
+    assert result["dwpt"].dtype == "float64"
+    assert all(result["dwpt"].round(1) == result["dwpt"])
+
+    # Check that dwpt_flag was calculated from temp_flag and rhum_flag
+    assert result["dwpt_flag"].tolist() == ["A", "B", "B"]