Update app.py

app.py

@@ -1,4 +1,5 @@
 import os
+import re
 import json
 import datetime
 import tempfile
@@ -70,9 +71,11 @@ Use exactly this structure:
 {"metrics":[{"label":"Buzzword-Dichte","score":3,"comment":"kurz sarkastisch"},{"label":"Länge vs. Inhalt","score":4,"comment":"kurz sarkastisch"},{"label":"Selbstbeweihräuche","score":2,"comment":"kurz sarkastisch"},{"label":"Hashtag-Overload","score":5,"comment":"kurz sarkastisch"},{"label":"Sinnlosigkeits-Index","score":3,"comment":"kurz sarkastisch"}],"verdict":"Ein präzises Urteil auf Deutsch."}
 
 Rules:
-- score is an integer 1-10. Be calibrated: most posts will not score 8-10 on every metric. Reserve 9-10 for truly egregious cases.
-- comment is max 5 words in German, dry and precise. NEVER use double quotes (") inside the text. Use single quotes (') instead.
-- verdict is one precise sentence in German, max 12 words. Acknowledge substance if present. NEVER use double quotes (") inside the text. Use single quotes (') instead.
+- score is an integer 1-10.
+- comment is max 5 words in German, dry and precise.
+- verdict is one precise sentence in German, max 12 words.
+- CRITICAL JSON RULE: NEVER quote parts of the user's text (no hashtags, no phrases). Paraphrase instead.
+- CRITICAL JSON RULE: NEVER use the double-quote character (") inside your string values! Use single quotes (') if you must.
 - ALL string values must be valid JSON strings."""
 
 PROMPT_AI_TUNING = """You are a top-tier Ghostwriter for Tech Executives and a master of LinkedIn algorithms. Your task is to rewrite the provided text into a high-performing LinkedIn post based STRICTLY on the tuning parameters.
@@ -344,23 +347,20 @@ def translate(text, direction):
 
 
 def _extract_json(raw):
+    cleaned_raw = re.sub(r'```json\s*', '', raw)
+    cleaned_raw = re.sub(r'```\s*', '', cleaned_raw)
+    
     try:
-        return json.loads(raw)
-    except Exception:
-        pass
-    try:
-        start = raw.find("{")
-        end   = raw.rfind("}") + 1
+        start = cleaned_raw.find("{")
+        end   = cleaned_raw.rfind("}") + 1
         if start >= 0 and end > start:
-            return json.loads(raw[start:end])
+            json_str = cleaned_raw[start:end]
+            json_str = json_str.replace('\n', ' ').replace('\r', '')
+            return json.loads(json_str)
     except Exception:
         pass
-    try:
-        cleaned = " ".join(raw[raw.find("{"):raw.rfind("}")+1].split())
-        return json.loads(cleaned)
-    except Exception:
-        pass
-    raise ValueError("Kein valides JSON gefunden")
+        
+    raise ValueError(f"Kein valides JSON gefunden. Raw Output war: {raw[:100]}...")
 
 
 def get_bingo(text):