included ai prompt text

ai_prompt.txt

@@ -0,0 +1,17 @@
+
+## **Quick Version (If you just want the code):**
+
+```text
+Build a Python system that:
+1. Analyzes CSV files in `sample_data/` folder
+2. Creates SQLite database (`school_schedule.db`)  
+3. Migrates CSV data to SQLite with cleaning
+4. Provides query application for school scheduling
+
+Key queries needed:
+- Find student location by time
+- Show student/teacher schedules  
+- Check room availability
+- Detect schedule conflicts
+
+Use: Python, sqlite3, pandas, DB Browser SQLite compatible.

scheduler_bots/database.py

@@ -152,95 +152,89 @@ class SchoolScheduleDB:
         
         self.conn.commit()
     
-    def update_database_from_csv(self, auto_update=True):
+    def update_database_from_csv(self, auto_update=False):
-        """Automatically update database from specific CSV files in the sample_data directory"""
+        """Update the database from CSV files in the sample_data directory"""
-        # Updated path to look in the parent directory
+        # Define the sample_data directory path
-        sample_data_dir = "../sample_data"
+        sample_data_dir = "/Users/home/YandexDisk/TECHNOLYCEUM/ict/Year/2025/ai/ai7/ai7-m3/Projects/sample_data"
         
+        # Check if the directory exists
         if not os.path.exists(sample_data_dir):
-            print(f"Directory '{sample_data_dir}' not found. Trying local directory...")
+            print(f"Directory {sample_data_dir} does not exist.")
-            sample_data_dir = "sample_data"
+            return
-            if not os.path.exists(sample_data_dir):
-                print(f"Directory '{sample_data_dir}' not found.")
-                return
-
-        # Get all CSV files and filter out the schedule template and sheet files
-        all_csv_files = [f for f in os.listdir(sample_data_dir) if f.endswith('.csv')]
         
-        # Keep only the actual student distribution files (not the sheets)
+        # Find all CSV files in the sample_data directory
-        csv_files = []
+        csv_files = [f for f in os.listdir(sample_data_dir) if f.lower().endswith('.csv')]
-        for filename in all_csv_files:
-            if 'first_sheet' not in filename and 'last_sheet' not in filename and 'template' not in filename:
-                csv_files.append(filename)
         
         if not csv_files:
-            print(f"No student data CSV files found in '{sample_data_dir}' directory.")
+            print(f"No CSV files found in {sample_data_dir}")
             return
         
         print(f"Found {len(csv_files)} student data CSV file(s):")
-        for i, filename in enumerate(csv_files, 1):
+        for i, file in enumerate(csv_files, 1):
-            print(f"  {i}. {filename}")
+            print(f"  {i}. {file}")
         
         if auto_update:
             print("\nAuto-updating database with all student data CSV files...")
-            files_to_update = csv_files
+            print("\nUpdating database with {} file(s):".format(len(csv_files)))
+            for file in csv_files:
+                print(f"  - {file}")
+                csv_path = os.path.join(sample_data_dir, file)
+                self.process_csv_with_teacher_mapping(csv_path)
         else:
-            response = input("\nUpdate database with CSV files? (yes/no): ").lower()
+            print("\nChoose an option:")
+            print("1. Update all CSV files")
+            print("2. Select specific CSV files")
+            print("3. Cancel")
             
-            if response not in ['yes', 'y', 'да']:
+            choice = input("Enter your choice (1-3): ").strip()
-                print("Skipping database update.")
-                return
             
-            print(f"\n0. Update all files")
+            if choice == "1":
-            
+                print("\nUpdating database with all CSV files...")
-            try:
+                for file in csv_files:
-                selection = input(f"\nSelect file(s) to update (0 for all, or comma-separated numbers like 1,2,3): ")
+                    print(f"Processing {file}...")
+                    csv_path = os.path.join(sample_data_dir, file)
+                    self.process_csv_with_teacher_mapping(csv_path)
+            elif choice == "2":
+                print("\nAvailable CSV files:")
+                for i, file in enumerate(csv_files, 1):
+                    print(f"  {i}. {file}")
                 
-                if selection.strip() == '0':
+                selections = input("\nEnter the numbers of the files to process (comma-separated): ")
-                    # Update all files
+                try:
-                    files_to_update = csv_files
+                    indices = [int(x.strip()) - 1 for x in selections.split(',')]
-                else:
+                    valid_indices = [i for i in indices if 0 <= i < len(csv_files)]
-                    # Parse user selection
+                    
-                    indices = [int(x.strip()) - 1 for x in selection.split(',')]
+                    for i in valid_indices:
-                    files_to_update = [csv_files[i] for i in indices if 0 <= i < len(csv_files)]
+                        file = csv_files[i]
-                
+                        print(f"Processing {file}...")
-                if not files_to_update:
+                        csv_path = os.path.join(sample_data_dir, file)
-                    print("No valid selections made.")
+                        self.process_csv_with_teacher_mapping(csv_path)
-                    return
+                except ValueError:
-            except ValueError:
+                    print("Invalid input. Please enter comma-separated numbers.")
-                print("Invalid input. Please enter numbers separated by commas or '0' for all files.")
+            else:
-                return
+                print("Update cancelled.")
-
-        # Populate the periods and days tables first
-        self.populate_periods_table()
         
-        print(f"\nUpdating database with {len(files_to_update)} file(s):")
+        # Update teachers from the Teachers.csv file
-        for filename in files_to_update:
+        teachers_file = "/Users/home/YandexDisk/TECHNOLYCEUM/ict/Year/2025/ai/ai7/ai7-m3/Projects/Teachers.csv"
-            print(f"  - {filename}")
+        if os.path.exists(teachers_file):
-            
+            print("Processing teachers from Teachers.csv...")
-            csv_path = os.path.join(sample_data_dir, filename)
+            self.update_teachers_from_cheat_sheet(teachers_file)
-            print(f"Processing {csv_path}...")
+        else:
-            
+            print("Teachers.csv file not found, skipping...")
-            self.process_csv_with_teacher_mapping(csv_path)
         
-        # Update homeroom teachers from the dedicated CSV
+        # Update homeroom teachers from the dedicated file
-        self.update_homeroom_teachers_from_csv()
+        homeroom_file = "/Users/home/YandexDisk/TECHNOLYCEUM/ict/Year/2025/ai/ai7/ai7-m3/Projects/Homeroom_teachers.csv"
+        if os.path.exists(homeroom_file):
+            print("Processing homeroom teachers...")
+            self.update_homeroom_teachers(homeroom_file)
+        else:
+            print("Homeroom teachers file not found, skipping...")
         
         print("Database updated successfully with selected CSV data.")
     
-    def update_homeroom_teachers_from_csv(self):
+    def update_homeroom_teachers(self, homeroom_file):
         """Update homeroom teachers from the dedicated CSV file"""
-        # Updated path to look in the parent directory
+        with open(homeroom_file, 'r', encoding='utf-8') as file:
-        homeroom_csv_path = "../sample_data/Homeroom_teachers.csv"
-        
-        if not os.path.exists(homeroom_csv_path):
-            print(f"Homeroom teachers file '{homeroom_csv_path}' not found. Trying local directory...")
-            homeroom_csv_path = "sample_data/Homeroom_teachers.csv"
-            if not os.path.exists(homeroom_csv_path):
-                print(f"Homeroom teachers file '{homeroom_csv_path}' not found.")
-                return
-        
-        with open(homeroom_csv_path, 'r', encoding='utf-8') as file:
             reader = csv.DictReader(file)
             
             for row in reader:
@@ -958,4 +952,51 @@ class SchoolScheduleDB:
                          '1 группа', '2 группа', 'все группы', 'гр 1', 'гр 2', 'all groups', 
                          'group 1', 'group 2', 'A1', 'B1', 'C1', '4A', '4B', '4C', '4ABC']
         
-        return text in common_groups
+        return text in common_groups
+    
+    def update_teachers_from_cheat_sheet(self, teachers_csv_path):
+        """Update the teachers table from the Teachers.csv file"""
+        import csv
+        
+        with open(teachers_csv_path, 'r', encoding='utf-8') as file:
+            reader = csv.reader(file)
+            rows = list(reader)
+        
+        # Set to store unique teacher names
+        unique_teachers = set()
+        
+        # Process the CSV to extract teacher names
+        for row in rows:
+            for cell in row:
+                cell = cell.strip()
+                # Check if the cell looks like a teacher name (Russian/English name format)
+                if self._is_likely_teacher_name_enhanced(cell):
+                    unique_teachers.add(cell)
+                
+                # Also check for names that might be combined with "/" (like "Name1 / Name2")
+                if '/' in cell:
+                    parts = [part.strip() for part in cell.split('/')]
+                    for part in parts:
+                        if self._is_likely_teacher_name_enhanced(part):
+                            unique_teachers.add(part)
+        
+        # Insert unique teachers into the database
+        for teacher_name in unique_teachers:
+            if teacher_name:  # Make sure it's not an empty string
+                self.cursor.execute(
+                    "INSERT OR IGNORE INTO teachers (name, email, phone) VALUES (?, NULL, NULL)",
+                    (teacher_name,)
+                )
+        
+        print(f"Added {len(unique_teachers)} unique teachers from Teachers.csv")
+        self.conn.commit()
+
+
+# Main execution - just setup database
+if __name__ == "__main__":
+    db = SchoolScheduleDB()
+    # Check if auto-update flag is passed as argument
+    auto_update = len(sys.argv) > 1 and sys.argv[1] == '--auto'
+    db.update_database_from_csv(auto_update=auto_update)
+    db.close()
+