V1 dev

README.md

@@ -41,6 +41,16 @@ be either "April" or "October".
 df = weo.fetch_data(version=("April", 2020))
 ```
 
+If the version of the data fetched is needed, it can be 
+retrieved from the function attribute `last_version_fetched`.
+
+```python
+df = weo.fetch_data()
+print(weo.fetch_data.last_version_fetched)
+# >>> ('April', 2024) or whichever version was just fetched
+```
+
+
 Caching is used to avoid multiple requests to the IMF website for the same data and to enhance performance. 
 Caching using the LRU (Least Recently Used) algorithm approach and stores data in RAM. The cache is cleared when the program is terminated.
 To clear the cache manually, use the `clear_cache` function.

src/imf_reader/weo/parser.py

@@ -16,13 +16,13 @@
 }
 
 # numeric columns and the type to convert them to
-SDMX_NUMERIC_COLUMNS = [
-    "REF_AREA_CODE",
-    "OBS_VALUE",
-    "SCALE_CODE",
-    "LASTACTUALDATE",
-    "TIME_PERIOD",
-]
+SDMX_NUMERIC_COLUMNS = {
+    "REF_AREA_CODE": "Int16",
+    "OBS_VALUE": "Float64",
+    "SCALE_CODE": "Int16",
+    "LASTACTUALDATE": "Int16",
+    "TIME_PERIOD": "Int16",
+}
 
 
 class SDMXParser:
@@ -122,13 +122,12 @@ def check_folder(sdmx_folder: ZipFile) -> None:
     def clean_numeric_columns(df: pd.DataFrame) -> pd.DataFrame:
         """Cleans the numeric columns
 
-        Replaces "n/a" and "--" with pd.NA and converts the columns to numeric.
+        Replaces "n/a" and "--" with pd.NA and converts the columns to numeric and the correct type.
 
         """
 
-        df[SDMX_NUMERIC_COLUMNS] = (
-            df[SDMX_NUMERIC_COLUMNS].replace(["n/a", "--"], pd.NA).apply(pd.to_numeric)
-        )
+        for column, dtype in SDMX_NUMERIC_COLUMNS.items():
+            df[column] = df[column].replace(["n/a", "--"], pd.NA).astype(dtype)
 
         return df
 

src/imf_reader/weo/reader.py

@@ -146,6 +146,9 @@ def fetch_data(version: Optional[Version] = None) -> pd.DataFrame:
         version = validate_version(version)
         df = _fetch(version)
         logger.info(f"Data fetched successfully for version {version[0]} {version[1]}")
+        fetch_data.last_version_fetched = (
+            version  # store the version fetched as function attribute
+        )
         return df
 
     # if no version is passed, generate the latest version and fetch the data

tests/test_weo/test_reader.py

@@ -83,6 +83,24 @@ def test_fetch_data(mock_fetch):
     mock_fetch.assert_called_with(reader.gen_latest_version())
 
 
+@patch("imf_reader.weo.reader.gen_latest_version")
+@patch("imf_reader.weo.reader._fetch")
+def test_fetch_data_attribute(mock_fetch, mock_gen_latest_version):
+    """Test for fetch_data method attribute."""
+
+    mock_data = pd.DataFrame({"column1": [1, 2, 3], "column2": [4, 5, 6]})
+    mock_fetch.return_value = mock_data
+    mock_gen_latest_version.return_value = ("April", 2024)
+
+    # when a version is passed, check that the attribute is set
+    reader.fetch_data(("April", 2022))
+    assert reader.fetch_data.last_version_fetched == ("April", 2022)
+
+    # when no version is passed, check that the attribute is set
+    reader.fetch_data()
+    assert reader.fetch_data.last_version_fetched == ("April", 2024)
+
+
 @patch("imf_reader.weo.reader._fetch.cache_clear")
 def test_clear_cache(mock_cache_clear):
     """Test for clear_cache method."""