added check csv function and the test

src/pyeda/check_csv.py

@@ -1,3 +1,5 @@
+import pandas as pd
+
 def check_csv(file_path):
     """
     Check if the given file is a CSV file by its extension.
@@ -15,4 +17,13 @@ def check_csv(file_path):
     >>> from pyeda.check_csv import check_csv
     >>> check_csv("../data/raw/data.csv")
     """
-    pass
+    # Check if file extension is .csv
+    if not file_path.endswith(".csv"):
+        return False
+
+    # Try to read the file using pandas (this will raise an error if it's not a CSV file)
+    try:
+        pd.read_csv(file_path)
+        return True
+    except Exception:
+        return False

tests/test_check_csv.py

@@ -1 +1,67 @@
-from pyeda import check_csv
+import pytest
+import pandas as pd
+import os
+from pyeda.check_csv import check_csv
+
+
+@pytest.fixture
+def csv_content():
+    # Create a mock valid CSV content
+    csv_content = "name,age\nJohn,25\nAlice,30"
+    return csv_content
+
+
+def test_check_csv_valid_file(csv_content):
+    # Create a test CSV file
+    file_path = 'test_valid.csv'
+    with open(file_path, 'w') as f:
+        f.write(csv_content)
+
+    # Call the check_csv function
+    result = check_csv(file_path)
+    # Assert that the function returns True for a valid CSV
+    assert result == True
+
+    # Clean the test data file
+    if os.path.exists(file_path):
+        os.remove(file_path)
+
+
+def test_check_csv_invalid_file_name(csv_content):
+    # Create a test txt file
+    file_path = 'test_invalid_name.txt'
+    with open(file_path, 'w') as f:
+        f.write(csv_content)
+
+    # Call the check_csv function on a non-CSV file
+    result = check_csv(file_path)
+    # Assert that the function returns False for a non-CSV file
+    assert result == False
+
+    # Clean the test data file
+    if os.path.exists(file_path):
+        os.remove(file_path)
+
+
+def test_check_csv_invalid_file_content():
+    # Create a mock invalid file (non-CSV content)
+    invalid_csv_content = """
+        Name,Age,Score
+        Alice,25,85
+        Charlie,Thirty,70, 40
+        David,40
+    """
+
+    # Create a test CSV file with invalid content
+    file_path = 'test_invalid_content.csv'
+    with open(file_path, 'w') as f:
+        f.write(invalid_csv_content)
+
+    # Call the check_csv function on a non-CSV file
+    result = check_csv(file_path)
+    # Assert that the function returns False for a non-CSV file
+    assert result == False
+
+    # Clean the test data file
+    if os.path.exists(file_path):
+        os.remove(file_path)