From 911e501ab3b47d0ef30839cf6d84a101d1164dd6 Mon Sep 17 00:00:00 2001
From: Emerson Rocha <rocha@ieee.org>
Date: Fri, 20 May 2022 23:12:30 -0300
Subject: [PATCH] 999999999_0.py (#42): cached index already able to be created
 at 999999/0/{1}.index.json

---
 officinam/999999999/0/999999999_7200235.py | 28 +++++++++--
 officinam/999999999/0/L999999999_0.py      | 58 +++++++++++++++++-----
 2 files changed, 69 insertions(+), 17 deletions(-)

diff --git a/officinam/999999999/0/999999999_7200235.py b/officinam/999999999/0/999999999_7200235.py
index 9119c0d..8cda29c 100755
--- a/officinam/999999999/0/999999999_7200235.py
+++ b/officinam/999999999/0/999999999_7200235.py
@@ -127,6 +127,7 @@
 --ex-selectis='#item+conceptum+codicem==1'
 
 Index preparation (warn up cache) . . . . . . . . . . . . . . . . . . . . . . .
+(this will pre-create a key-value index at 999999/0/i1603_45_49.index.json)
     {0} --methodus=index_praeparationi 1603_45_49 \
 --index-nomini=i1603_45_49 \
 --ex-columnis='#item+rem+i_zxx+is_zmth+ix_unm49,\
@@ -532,10 +533,29 @@ def execute_cli(self, pyargs, stdin=STDIN, _stdout=sys.stdout,
 
             if pyargs.methodus == 'index_praeparationi':
 
-                caput, data = hxltm_index_praeparationi(caput, data)
-                # ex_columnis = pyargs.ex_columnis.split(',')
-                # caput, data = hxltm_ex_columnis(caput, data, ex_columnis)
-                print('TODO')
+                if pyargs.index_nomini:
+                    index_nomini = pyargs.index_nomini
+                else:
+                    # In this case, _infile is just a string like 1603_45_49
+                    index_nomini = 'i{0}'.format(str(_infile))
+
+                data_json = hxltm_index_praeparationi(
+                    caput, data, pyargs.index_ad_columnam)
+
+                data_json_str = json.dumps(
+                    data_json, indent=4, sort_keys=False, ensure_ascii=False)
+
+                # print(data_json_str)
+
+                _path = '{0}/999999/0/{1}.index.json'.format(
+                    NUMERORDINATIO_BASIM,
+                    index_nomini,
+                )
+
+                with open(_path, "w") as file1:
+                    file1.write(data_json_str)
+                print('index: {0}'.format(_path))
+                return self.EXIT_OK
 
             csv_imprimendo(caput, data)
 
diff --git a/officinam/999999999/0/L999999999_0.py b/officinam/999999999/0/L999999999_0.py
index 0b018e1..5b6cd32 100644
--- a/officinam/999999999/0/L999999999_0.py
+++ b/officinam/999999999/0/L999999999_0.py
@@ -1743,7 +1743,9 @@ def hxltm_ex_selectis(
 
 
 def hxltm_index_praeparationi(
-        caput: list, data: list, index_ad_columnam: str) -> dict:
+    caput: list, data: list,
+    index_ad_columnam: str = None, strictum: bool = False
+) -> dict:
     """hxltm_index_praeparationi add new columns (variables)
 
     Trivia:
@@ -1755,25 +1757,55 @@ def hxltm_index_praeparationi(
         caput (list): _description_
         data (list): _description_
         index_ad_columnam (str): _description_
+        strictum (str): raise errors if same source keys can point to different
+                        objective indexes.
 
     Returns:
         dict: _description_
     """
-    # https://en.wiktionary.org/wiki/columna#Latin
-    index_columnae = []
-    _data = []
-    raise NotImplementedError
-    # print(caput, columnae)
-    for item in columnae:
-        index_columnae.append(caput.index(item))
+
+    if strictum:
+        raise NotImplementedError('{0} strictum'.format(
+            'hxltm_index_praeparationi'))
+
+    if not index_ad_columnam:
+        index_ad_columnam = 0
+    else:
+        index_ad_columnam = caput.index(index_ad_columnam)
+
+    _data_json = {}
+    data_json = {}
 
     for linea in data:
-        _linea = []
-        for index in index_columnae:
-            _linea.append(linea[index])
-        _data.append(_linea)
+        _clavis_ad = linea[index_ad_columnam]
+        _clavis_ex = set()
+        for res in linea:
+            if res:
+                _clavis_ex.add(res)
+        for item in _clavis_ex:
+            _data_json[item] = _clavis_ad
+
+    _claves_n = []
+    _claves_l = []
+    _clāvēs_nl = []
+
+    for item in _data_json.keys():
+        if item.isnumeric():
+            _claves_n.append(item)
+        else:
+            _claves_l.append(item)
 
-    # _caput = columnae
+    if len(_claves_n) > 0:
+        _clāvēs_nl.extend(sorted(_claves_n, key=lambda x: int(x)))
+
+    if len(_claves_l) > 0:
+        _claves_l.sort(key=lambda item: (len(item), item))
+        _clāvēs_nl.extend(_claves_l)
+
+    for item in _clāvēs_nl:
+        data_json[item] = _data_json[item]
+
+    return data_json
 
 
 def hxltm_per_columnas(