Add function to edit nested dictionaries.

VERSION

-1.10.3
+1.10.4

texta_mlp/document.py

@@ -44,7 +44,7 @@ class Document:
             original_text: str,
             dominant_language_code: str,
             analysis_lang: str,
-            stanza_sentences: [list], 
+            stanza_sentences: [list],
             stanza_entities,
             concat_resources: dict,
             entity_mapper: Optional[EntityMapper] = None,
@@ -118,6 +118,20 @@ class Document:
         self.__texta_facts.append(fact)
 
 
+    @staticmethod
+    def edit_doc(doc: dict, doc_path: str, new_value) -> dict:
+        """
+        :param doc: Original dictionary into which you add content.
+        :param doc_path: Dot separated field paths to the nested value you wish to add.
+        :param new_value: Value you wish to add into the nested path.
+        :return: Dictionary with the new value added into it according to the path.
+        """
+        wrapper = PelicanJson(doc)
+        path = doc_path.split(".")
+        wrapper.set_nested_value(path, new_value, force=True)
+        return wrapper.convert()
+
+
     def document_to_json(self, use_default_doc_path=True) -> dict:
         """
         :param use_default_doc_path: Normal string values will be given the default path for facts but for dictionary input you already have them.
@@ -137,13 +151,18 @@ class Document:
         container = dict()
         container["text"] = self.get_words(ssplit="sentences" in self.analyzers)
         texta_facts = self.facts_to_json()
-        container["language"] = {"detected": self.dominant_language_code,
-                             "analysis": self.analysis_lang}
-        if "lemmas" in self.analyzers: container["lemmas"] = self.get_lemma()
-        if "pos_tags" in self.analyzers: container["pos_tags"] = self.get_pos_tags()
+        container["language"] = {
+            "detected": self.dominant_language_code,
+            "analysis": self.analysis_lang
+        }
+
+        if "lemmas" in self.analyzers:
+            container["lemmas"] = self.get_lemma()
+        if "pos_tags" in self.analyzers:
+            container["pos_tags"] = self.get_pos_tags()
         # if "sentiment" in self.analyzers: container["sentiment"] = self.get_sentiment()
-        if "transliteration" in self.analyzers and self.__transliteration: container[
-            "transliteration"] = self.get_transliteration()
+        if "transliteration" in self.analyzers and self.__transliteration:
+            container["transliteration"] = self.get_transliteration()
         if use_default_doc_path:
             for fact in texta_facts["texta_facts"]:
                 fact["doc_path"] = "text.text"
@@ -170,11 +189,12 @@ class Document:
         for sent in self.stanza_sentences:
             self.__words.append([word.text for word in sent])
 
+
     def sentences(self):
         pass
 
 
-    def get_words(self, ssplit = False) -> str:
+    def get_words(self, ssplit=False) -> str:
         if ssplit:
             return "\n".join([" ".join(sent_words) for sent_words in self.__words])
         else: