import os import json import time import subprocess import shutil from datetime import datetime from zoneinfo import ZoneInfo import concurrent.futures import pymysql import argparse parser = argparse.ArgumentParser() parser.add_argument('-f', '--file', help='The file to make custom') parser.add_argument('-o', '--output', help='The output to make custom') parser.add_argument('-s', '--specific', help='The output to make custom') parser.add_argument('-e', '--sortby', help='The output to make custom') args = parser.parse_args() arg_val = args.file sort__by = args.sortby or "l" out_val = args.output or 15 specific_val = args.specific or "" STOP_WHILE = False ADD_DATA1 = 1 # Define color codes RESET = "\033[0m" BOLD = "\033[1m" GREEN = "\033[92m" RED = "\033[91m" CYAN = "\033[96m" MASTER_FILE = "full_data" if arg_val: MASTER_FILE = "full_data" # Set the timezone to "America/Monterrey" os.environ['TZ'] = 'America/Monterrey' os.system("") # enables ansi escape characters in terminal tz=ZoneInfo("America/Monterrey") def count_files_in_folder(folder_path): try: # List all items in the folder all_items = os.listdir(folder_path) # Count only the files file_count = sum(1 for item in all_items if os.path.isfile(os.path.join(folder_path, item))) return file_count except FileNotFoundError: return "The folder does not exist." except Exception as e: return f"An error occurred: {e}" def add_data(code, descripcion, inv, cap, pend, fecha, marc, tp): try: # Establish a connection connection = pymysql.connect( host='localhost', user='root', password='', database='f9' ) print("Connected to MySQL database") # Create a cursor object cursor = connection.cursor() cursor.execute( """ INSERT INTO products (codigoBarras, descripcion, inventario, capacidadEmpaque, pendienteEntregaCabecera, pedidoPendiente, marca) VALUES (%s, %s, %s, %s, %s, %s, %s) """, (code, descripcion, inv, cap, pend, fecha, marc) ) connection.commit() print("Done:", cursor) except pymysql.MySQLError as e: print("Error while connecting to MySQL", e) finally: # Close the connection cursor.close() connection.close() print("MySQL connection is closed") def remove_dir_and_contents(dir_path): if os.path.isdir(dir_path): shutil.rmtree(dir_path) print(f"Directory {dir_path} and all its contents removed successfully.") else: print(f"Directory {dir_path} does not exist or is not a directory.") def copy_directory(src, dst): # Check if the source directory exists if os.path.exists(src): # If the destination directory exists, delete it first if os.path.exists(dst): shutil.rmtree(dst) # Remove the destination directory and its contents shutil.copytree(src, dst) # Copy the entire directory tree from src to dst print(f"Copied {src} to {dst}") else: print(f"Source directory {src} does not exist") # remove_dir_and_contents(f"results_{MASTER_FILE}") # remove_dir_and_contents(f"everything") os.makedirs(f"results_{MASTER_FILE}", exist_ok=True) os.makedirs(f"{MASTER_FILE}", exist_ok=True) def start_files(file_type='', index_step=1, start_index=0): # Load the JSON list from the file def update_json_file(file_path, prov, pas): # Step 1: Read the JSON data with open(file_path, "r") as f: file_data = json.load(f) # Step 2: Update the data if "inventario" in file_data: # file_data["imagen"] = f'=IMAGEN("{image}")' file_data["proveedor"] = prov file_data["pasillo"] = pas file_data["pedir"] = 0 with open(f"results_{file_type}/file_{i}.json", "w") as f: json.dump(file_data, f, indent=2) print("Updated") print(f"{GREEN}Starting {file_type} at {index_step} in {start_index} {RESET}") with open(f"array/master_{file_type}.json", "r") as f: data_list = json.load(f) # Function to get results for a given index def get_results(i=0): # Check if the file exists and contains the 'inventario' field file_path = f"results_{file_type}/file_{i}.json" if os.path.exists(file_path): try: with open(file_path, "r") as f: file_data = json.load(f) if "inventario" in file_data: print(f"{GREEN}File {file_path} already contains 'inventario'. Skipping...{RESET}") # update_json_file(file_path, data_list[i][3], data_list[i][4]) return except json.JSONDecodeError as e: print(f"JSON error: {e}") except UnicodeDecodeError as e: print(f"Encoding error: {e}") # Get the "codigo" from the list codigo = data_list[i][3] # Prepare the curl equivalent request using the subprocess curl_command = [ 'curl', '-k', '-s', '-A', 'Mozilla/5.0 (Linux; Android 11; SAMSUNG SM-G973U) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/14.2 Chrome/87.0.4280.141 Mobile Safari/537.36', '-b', 'cookien.txt', f'https://www.intracomer.com.mx/simaEspecialWeb/AuditarServlet?_param=22&tipoReporte=2&codigo={codigo}' ] # Check if the result is valid JSON try: result = subprocess.run(curl_command, capture_output=True, text=True, encoding="utf-8") test = result.stdout data = json.loads(test) # data["seccion_numero"] = data_list[i][0] # data["categoria_real"] = data_list[i][2] # data["proveedor"] = data_list[i][4] # data["proveedor_num"] = data_list[i][3] # data["pasillo"] = data_list[i][4] # data["pedir"] = 1 data["pedir"] = 1 data["pasillo"] = 99 data["seccion_numero"] = data_list[i][0] data["categoria_real"] = data_list[i][1] data["proveedor_num"] = data_list[i][2] data["proveedor"] = data_list[i][2] #data["image"] = f'=IMAGEN("{data_list[i][3]}")' # Write the data to the file with open(file_path, "w") as f: end_time = datetime.now(tz) print(f"{GREEN}Done index {i}, Barcode: {data_list[i][1]}{RESET}{RED}{end_time.strftime('%Y-%m-%d %H:%M:%S')}{RESET} in {MASTER_FILE}") json.dump(data, f) except json.JSONDecodeError: print(f"Failed to parse JSON for index {i}") except UnicodeDecodeError as e: print(f"Encoding error: {e}, index: {i}") # Loop through the list, fetching results for every index with the given step for i in range(start_index, len(data_list), index_step): get_results(i) # time.sleep(0.5) return True def merge_files(file_type = ''): stop = False data = [] rol_zero = [] rol_negative = [] no_rol_negative = [] real_list_rol = [] list_zauto = [] worry_some = [] real_list = [] new_pedido = [] pedido_list = [] venta_zero = [] venta_zero2 = [] nped = [] nped2 = [] nped3 = [] invcap = [] # Directory containing the JSON files directory = f"results_{file_type}" # Process JSON files for i in range(99999): file_path = os.path.join(directory, f"file_{i}.json") if os.path.exists(file_path): with open(file_path, "r") as f: arr = json.load(f) data.append(arr) else: continue pasillo_data = {} # Process the collected data for curr in data: if int(curr["inventario"]) == 0 and curr["resurtido"] == "Automatico": rol_zero.append(curr) if int(curr["inventario"]) < 0: rol_negative.append(curr) if int(curr["inventario"]) == 0 and curr["resurtido"] == "SIN RESURTIDO": continue # real_list.append(curr) for curr in data: real_list.append(curr) rol_negative.sort(key=lambda x: float(x.get("inventario", 0)), reverse=True) # Write the results to a JSON file with open(f"{file_type}/result.json", "w") as f: json.dump(real_list, f, indent=2) with open(f"{file_type}/rol_empty.json", "w") as f: json.dump(rol_zero, f, indent=2) with open(f"{file_type}/negatives.json", "w") as f: json.dump(rol_negative, f, indent=2) end_time = datetime.now(tz) print(f"{GREEN}for curr in data: Length: {RESET}{CYAN}{len(data)}{RESET}") print(f"{GREEN}real_list Length: {RESET}{CYAN}{len(real_list)}{RESET}") print(f"{CYAN}MERGED {file_type} at {RESET}{RED}{end_time.strftime('%Y-%m-%d %H:%M:%S')}{RESET}") return True # Main loop def run_tasks(custom_handler = 'everything', futures_created=1): start_time = datetime.now(tz) print(f"{CYAN}Started processing at {RESET}{RED}{start_time.strftime('%Y-%m-%d %H:%M:%S')}{RESET}") with concurrent.futures.ThreadPoolExecutor(max_workers=30) as executor: futures_list = [] steps = 0 for i in range(futures_created): if(i == 0): step = 0 else: step = steps+i futures_list.append(executor.submit(start_files, custom_handler, futures_created, step)) futures = futures_list done, not_done = concurrent.futures.wait(futures, return_when=concurrent.futures.ALL_COMPLETED) # Check when all futures are done if not not_done: # If 'not_done' is empty, all tasks are done print("All futures are completed.") # Optionally process results if needed for future in done: try: result = future.result() # Get the result of each future except Exception as exc: print(f"Task generated an exception: {exc}") # Wait for all tasks to complete # for future in concurrent.futures.as_completed(futures): # future.result() end_time = datetime.now(tz) print(f"{CYAN}Script finished at {RESET}{RED}{end_time.strftime('%Y-%m-%d %H:%M:%S')}{RESET}") Main_Loop = 0 master_data_list = [] with open(f"array/master_{MASTER_FILE}.json", "r") as f: master_data_list = json.load(f) while True: # if count_files_in_folder(f"results_{MASTER_FILE}") >= len(master_data_list): merge_files(MASTER_FILE) break # else: # run_tasks(MASTER_FILE, int(out_val))