funktionierender Prototyp

filesearch.py

@@ -1,70 +1,104 @@
 import os
 from openai import OpenAI
-from tkinter import simpledialog, Tk, Label, Entry, Button, Text, filedialog
+from tkinter import Tk, Label, Entry, Button, Text, filedialog
+
 from dotenv import load_dotenv
 
-def get_user_input():
+load_dotenv()
-    root = None  # No parent window for simplicity
-    search_query = simpledialog.askstring("Input", "Enter search query:", parent=root)
-    return search_query
 
 def list_files(directory):
     files = []
     for root, dirs, filenames in os.walk(directory):
-        if not any(d.startswith('.') for d in dirs):
+        # Versteckte Verzeichnisse ausschließen
-            for filename in filenames:
+        dirs[:] = [d for d in dirs if not d.startswith('.')]
+        for filename in filenames:
+            if filename.endswith(('.docx', '.pdf')):
                 file_path = os.path.join(root, filename)
-                if filename.endswith(('.docx', '.pdf')):
+                files.append(file_path)
-                    files.append(file_path)
+        return files
-    return files
 
 def compare_with_openai(content, search_query):
     client = OpenAI(
-        api_key=os.environ.get("OPENAI_API_KEY")
+        api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
     )
-    chat_completion = client.chat.completions.create(
+    try:
-        messages=[
+        completion = client.chat.completions.create(
-            {
+            model="gpt-4o-mini",
-                "role": "user", 
+            messages=[
-                "content": f"Vergleiche den folgenden Text mit der Suchanfrage '{search_query}':\n\n{content[:1000]}...\n\nIst der Text relevant für die Suchanfrage?"},
+                {
-        ],
+                    "role": "user",
-        model="gpt-4o-mini",
+                    "content": f"Vergleiche den folgenden Text mit der Suchanfrage '{search_query}':\n\n{content[:1000]}...\n\nIst der Text relevant für die Suchanfrage? Antworte mit 'Ja' oder 'Nein'."
-    )
+                },
-    return "ja" in chat_completion.choices[0].message.content.lower()
+            ],
+            max_tokens=5,
+            temperature=0.0,
+        )
+        answer = completion.choices[0].message.content.strip().lower()
+        return "ja" in answer
+    except Exception as e:
+        print(f"Fehler bei der OpenAI-API-Anfrage: {e}")
+        return False
+
+def read_file_content(file_path):
+    if file_path.endswith('.docx'):
+        try:
+            import docx
+            doc = docx.Document(file_path)
+            fullText = []
+            for para in doc.paragraphs:
+                fullText.append(para.text)
+            return '\n'.join(fullText)
+        except Exception as e:
+            print(f"Fehler beim Lesen der DOCX-Datei {file_path}: {e}")
+            return ''
+    elif file_path.endswith('.pdf'):
+        try:
+            import PyPDF2
+            with open(file_path, 'rb') as pdf_file:
+                reader = PyPDF2.PdfReader(pdf_file)
+                text = ''
+                for page in reader.pages:
+                    page_text = page.extract_text()
+                    if page_text:
+                        text += page_text
+                return text
+        except Exception as e:
+            print(f"Fehler beim Lesen der PDF-Datei {file_path}: {e}")
+            return ''
+    else:
+        return ''
+
 def search_files():
-    search_query = query_entry.get()  # Get the search query from the Entry widget
+    search_query = query_entry.get()
     if not search_query:
-        print("No search query provided.")
+        print("Keine Suchanfrage eingegeben.")
         return
 
-    directory = filedialog.askdirectory()  # Auswahldialog für das Verzeichnis
+    directory = filedialog.askdirectory()
     if not directory:
-        print("No directory selected.")
+        print("Kein Verzeichnis ausgewählt.")
         return
 
     if not os.path.exists(directory):
-        print("Directory does not exist.")
+        print("Verzeichnis existiert nicht.")
         return
 
     files = list_files(directory)
     found_files = []
 
     for file_path in files:
-        try:
+        file_content = read_file_content(file_path)
-            with open(file_path, 'r', encoding='utf-8', errors='ignore') as file:
+        if file_content:
-                file_content = file.read()
+            if compare_with_openai(file_content, search_query):
-                if compare_with_openai(file_content, search_query):
+                found_files.append(file_path)
-                    found_files.append(file_path)
-        except Exception as e:
-            print(f"Error reading {file_path}: {e}")
 
     result_text.delete(1.0, 'end')
     if found_files:
-        result_text.insert('end', "Files containing the search query:\n")
+        result_text.insert('end', "Dateien relevant für die Suchanfrage:\n")
         for file in found_files:
             result_text.insert('end', file + '\n')
     else:
-        result_text.insert('end', "No files containing the search query found.")
+        result_text.insert('end', "Keine relevanten Dateien gefunden.")
 
 # GUI erstellen
 root = Tk()