1er wrapper ok

requirements.txt

 Flask==2.3.3
 flask_cors==4.0.0
-lupa==1.8
+lupa>=1.8
 wiktextract @ git+https://github.com/tatuylonen/wiktextract.git@a3665b8779ad78b045406cc7b1e9ce31876bc6b6
 GitPython

src/wiktextract_wrapper.py

@@ -17,65 +17,70 @@ class Wiktextract:
             return None
         result = parse_page(self.wxr, title, page.body)
         return self.convert(result)
+        #return result
 
     def convert(self, data_format1):
         transformed_data = []
-        # Iterate through entries in format 1
-        for entry in data_format1:
-            transformed_entry = {
+
+        for index, pos in enumerate(data_format1):
+            transformed_pos = {
                 "sources": [
                     {
-                        "wiktionary_language": entry['lang_code'],
-                        "permanentId": hash(json.dumps(entry)), #TODO voir si on peut trouver le permanentId de la page
+                        "wiktionary_language": pos["lang_code"],  # Assuming this key is present in your data
                         "wiktextract_version": metadata.version("wiktextract"),
                         "wrapper_version": git.Repo(search_parent_directories=True).head.object.hexsha
                     }
                 ],
-                "id": f"{entry['lang_code']}-{entry['word']}{entry['pos']}",
-                entry['word']: {
-                    "pos": entry['pos'],
-                    "pronunciations": [
-                        {
-                            "id": f"{entry['lang_code']}-{entry['word']}_prn1",
-                            "transcript": entry['sounds'][0]['ipa'], #quick fix, il faut regarder comment c'est structuré, je pense qu'il faut une fonction qui parcourt tous les items pour savoir lequel contient ipa, en plus là tu as toujours une seule pronunciation, nous on peut en avoir plusieurs dans le wikstraktor…
-                            "sounds": [
-                                {
-                                    "id": f"{entry['lang_code']}-{entry['word']}_sound{index}",
-                                    "audio": sound.get("audio", ""),
-                                    "text": sound.get("enpr", ""),
-                                    "tags": sound.get("tags", []),
-                                    "ogg_url": sound.get("ogg_url", ""),
-                                    "mp3_url": sound.get("mp3_url", "")
-                                } for index, sound in enumerate(entry['sounds'], start=1)
-                            ]
-                        }
-                    ],
+                "id": f"{pos.get('lang_code', '')}-{index}.{pos.get('pos', '')}.{pos.get('word', '')}",
+                f"{pos.get('pos', '')}": {
+                    "pos": pos.get("pos", ""),
+                    "pronunciations": [],
                     "senses": {}
                 }
             }
 
+            # Iterate through pronunciations
+            pron_counter = 1  # Counter for pronunciation id
+            for pron in pos.get("sounds", []):
+                pronunciation = {
+                    "id": f"{pos.get('lang_code', '')}-{index}.{pos.get('pos', '')}.{pos.get('word', '')}_prn{pron_counter}",
+                    "transcript": pron.get("ipa", None),
+                    "sounds": []
+                }
+                if "audio" in pron:
+                    sound = {
+                        "accent": pron.get("tags", [])[0],  # Assuming the first tag is the accent
+                        "url": pron.get("mp3_url", pron.get("ogg_url", ""))
+                    }
+                    pronunciation["sounds"].append(sound)
+                transformed_pos[pos.get('pos', '')]['pronunciations'].append(pronunciation)
+                pron_counter += 1
+
             # Iterate through senses in the entry
-            for sense_index, sense in enumerate(entry['senses'], start=0):
-                #ci dessous l'un des 2 lang_code doit être celui du wiktionnaire utilisés
-                sense_key = f"{entry['lang_code']}.{entry['lang_code']}-{entry['word']}{entry['pos']}_{sense_index}"
-                transformed_entry[entry['word']]['senses'][sense_key] = {
+            for sense_index, sense in enumerate(pos.get("senses", []), start=1):
+                sense_id = f"{pos.get('lang_code', '')}-{index}.{pos.get('pos', '')}.{pos.get('word', '')}_{pos.get('pos', '')}{sense_index}"
+                transformed_pos[pos.get('pos', '')]["senses"][sense_id] = {
                     "Definitions": [
                         {
-                            "id": f"{entry['lang_code']}-{entry['word']}{entry['pos']}_def{index}",
-                            "lang": entry['lang_code'],
-                            "definition": definition
-                        } for index, definition in enumerate(sense.get('glosses', []), start=0)
+                            "id": f"{pos['lang_code']}-{pos['word']}{pos['pos']}_def{index}",
+                            "lang": pos.get('lang_code', ''),
+                            "definition": gloss
+                        } for index, gloss in enumerate(sense.get('glosses', []) + sense.get('raw_glosses', []), start=1)
                     ],
                     "Examples": [
                         {
-                            "id": f"{entry['lang_code']}-{entry['word']}{entry['pos']}_ex{index}",
+                            "id": f"{pos.get('lang_code', '')}-{pos.get('word', '')}{pos.get('pos', '')}_ex{index}",
                             "example": example['text']
-                        } for index, example in enumerate(sense.get('examples', []), start=0)
+                        } for index, example in enumerate(sense.get('examples', []), start=1)
                     ]
                 }
 
-            transformed_data.append(transformed_entry)
-        return json.dumps(transformed_data, indent=2)
+            # Copy the translations attribute
+            transformed_pos["translations"] = pos.get("translations", [])
+            transformed_data.append(transformed_pos)
+
+        return transformed_data
+
 
 if __name__ == "__main__":
     import argparse