999999999_521850.py (#43): hxltm__data_sort()

officina/999999999/0/999999999_521850.py

@@ -53,6 +53,7 @@
 from L999999999_0 import (
     # hxltm_carricato,
     NUMERORDINATIO_BASIM,
+    hxltm__data_sort,
     numerordinatio_neo_separatum,
     # TabulaAdHXLTM
 )
@@ -903,43 +904,6 @@ def _codicem(self, res: str, strictum: bool = False, index: int = 0) -> str:
             # return _v
             return None if strictum else str(900 + index)
 
-    def _data_sort(self, fonti: str) -> list:
-        # with open(objetivum, 'w') as _objetivum:
-        # @TODO move to L9999~
-        # @TODO create an dedicated function to explode datasets with
-        #       '#item+rem+i_qcc+is_zxxx+ix_xyadhxltrivio' reference and
-        #        '+ix_xyexhxltrivio' as attribute
-        _data = []
-        caput = []
-        with open(fonti, 'r') as _fons:
-            _csv_reader = csv.reader(_fons)
-            # started = False
-            for linea in _csv_reader:
-                if len(caput) == 0:
-                    caput = linea
-                    continue
-                _data.append(linea)
-
-        # @TODO do the sorting here
-
-        _codicem_index = caput.index('#item+conceptum+codicem')
-
-        if '#item+rem+i_qcc+is_zxxx+ix_xyadhxltrivio' in caput:
-            _adtrivio_index = caput.index(
-                '#item+rem+i_qcc+is_zxxx+ix_xyadhxltrivio')
-            _data = sorted(
-                _data,
-                key=lambda row: (
-                    int(row[_codicem_index]), row[_adtrivio_index])
-            )
-        else:
-            _data = sorted(_data, key=lambda row: int(row[_codicem_index]))
-        resultatum = []
-        resultatum.append(caput)
-        resultatum.extend(_data)
-
-        return resultatum
-
     def _hxlize_dummy(self, caput: list):
         resultatum = []
         for res in caput:
@@ -1187,7 +1151,9 @@ def de_hxltm_ad_hxltm_wide(
             objetivum (str): _description_
         """
 
-        data_sorted = self._data_sort(fonti)
+        # data_sorted = self._data_sort(fonti)
+        data_sorted = hxltm__data_sort(
+            fonti, ['#item+rem+i_qcc+is_zxxx+ix_xyadhxltrivio'])
 
         # print(data_sorted[0:10])
 

officina/999999999/0/L999999999_0.py

@@ -5393,6 +5393,58 @@ def hxltm__data_referentibus(
         return ''
 
 
+def hxltm__data_sort(fonti: str, sortkeys: list = None) -> list:
+    """hxltm__data_sort sort contents of HXLTM on disk
+
+    Load all data into memory. Return full List[List]. Header first row
+
+    Args:
+        fonti (str): path to file
+        sortkeys (list, optional): List of keys to sort. Defaults to None.
+
+    Returns:
+        list: sorted data
+    """
+
+    if not sortkeys:
+        sortkeys = []
+
+    if '#item+conceptum+codicem' not in sortkeys:
+        sortkeys.insert(0, '#item+conceptum+codicem')
+
+    _data = []
+    caput = []
+    with open(fonti, 'r') as _fons:
+        _csv_reader = csv.reader(_fons)
+        # started = False
+        for linea in _csv_reader:
+            if len(caput) == 0:
+                caput = linea
+                continue
+            _data.append(linea)
+
+    _i0 = caput.index(sortkeys[0])
+    if len(sortkeys) == 1:
+        _data = sorted(_data, key=lambda row: int(row[_i0]))
+    elif len(sortkeys) == 2:
+        _i1 = caput.index(sortkeys[1])
+        _data = sorted(_data, key=lambda row: (int(row[_i0]), row[_i1]))
+    elif len(sortkeys) == 3:
+        _i1 = caput.index(sortkeys[1])
+        _i2 = caput.index(sortkeys[2])
+        _data = sorted(
+            _data, key=lambda row: (int(row[_i0]), row[_i1], row[_i2]))
+    else:
+        raise NotImplementedError('len > 3; [{}] <{}>'.format(
+            len(sortkeys), sortkeys))
+
+    resultatum = []
+    resultatum.append(caput)
+    resultatum.extend(_data)
+
+    return resultatum
+
+
 def hxltm__concat(
     # al1: str, b2: str,
     significatus: dict,