5 unit currency prefix (#7)

* Fixed issue 4 with identifier-scheme prefix

* Fixed issue 5 with unit currency prefix

* Dot removed

* Update test_samples.py

Removed dot on import

* Fixed unit attribute made generic

---------

Co-authored-by: Francisco Javier Hernández del Caño <javier.hernandez@meaningfuldata.eu>

development.py

@@ -11,74 +11,13 @@
 from xbridge.converter import Converter
 
 
-def compare_with_baseline():
-    """
-    Compares the output files with the baseline files
-    """
-    EXT = "*.csv"
-    PATH = str(Path.cwd() / "output")
-    all_csv_files = [file
-                     for path, subdir, files in os.walk(PATH)
-                     for file in glob(os.path.join(path, EXT))]
-    baseline_dfs = {}
-    new_dfs = {}
-    for file in all_csv_files:
-        df = pd.read_csv(file, sep=",")
-        if "baseline" in file:
-            # Get only the file name
-            file = Path(file).name
-            baseline_dfs[file] = df
-        else:
-            file = Path(file).name
-            new_dfs[file] = df
-    not_equal = []
-    equal = []
-    not_in_new = []
-    not_in_baseline = []
-    different_length = {}
-    for key, value in baseline_dfs.items():
-        if key in new_dfs:
-            if "datapoint" in value.columns:
-                value = value.dropna(axis=0, how='all')
-                new_dfs[key] = new_dfs[key].dropna(axis=0, how='all')
-                value = value.reindex(sorted(value.columns), axis=1)
-                new_dfs[key] = new_dfs[key].reindex(sorted(new_dfs[key].columns), axis=1)
-                value = value.reset_index(drop=True)
-                new_dfs[key] = new_dfs[key].reset_index(drop=True)
-                open_keys = [col for col in value.columns if col not in ["datapoint", "factValue"]]
-                sorting_keys = ['datapoint']
-                if len(open_keys) > 0:
-                    sorting_keys.extend(open_keys)
-                value = value.sort_values(by=sorting_keys, ascending=True)
-                new_dfs[key] = new_dfs[key].sort_values(by=sorting_keys, ascending=True)
-                value = value.reset_index(drop=True)
-                new_dfs[key] = new_dfs[key].reset_index(drop=True)
-            if len(value) != len(new_dfs[key]):
-                different_length[key] = {"baseline": len(value), "new": len(new_dfs[key])}
-                continue
-            if not value.equals(new_dfs[key]):
-                not_equal.append(key)
-            else:
-                equal.append(key)
-        else:
-            not_in_new.append(key)
-    for key, value in new_dfs.items():
-        if key not in baseline_dfs:
-            not_in_baseline.append(key)
-
-    print(f"Files not equal: {not_equal}")
-    print(f"Files equal: {equal}")
-    print(f"Files with different length: {different_length}")
-    print(f"Files not in new but present in baseline: {not_in_new}")
-    print(f"Files not in baseline but present in new: {not_in_baseline}")
-
 
 TAXONOMY_PATH = Path(__file__).parent / "input" / "taxonomy" / "FullTaxonomy.7z"
 
 if __name__ == "__main__":
-    INPUT_PATH_3_3 = Path(__file__).parent / "tests" / "test_files" / "sample_3_3"
+    # INPUT_PATH_3_3 = Path(__file__).parent / "tests" / "test_files" / "sample_3_3"
     # INSTANCE_PATH = Path.cwd()  / "input" / "instances" / "corep_of1.xbrl"
-    INSTANCE_PATH = INPUT_PATH_3_3 / "test1_in.xbrl"
+    INSTANCE_PATH = Path(__file__).parent / "tests" / "test_files" / "sample_3_2_phase1" / "test1_in.xbrl"
 
     start = time()
     converter = Converter(INSTANCE_PATH)
@@ -88,4 +27,3 @@ def compare_with_baseline():
     print(f"Time to initialize: {initial - start}")
     print(f"Time to convert: {end - initial}")
     print(f"Total time: {end - start}")
-    compare_with_baseline()