import os import csv import subprocess import argparse import matplotlib.pyplot as plt from collections import defaultdict def extract_timestamp(filename): timestamp_str = filename[:10] try: timestamp = int(timestamp_str) return timestamp except ValueError: return 0 def extract_values_by_key(csv_file, key, exact_match): # Initialize a defaultdict for lists matched_values = defaultdict(list) with open(csv_file, 'r') as file: reader = csv.reader(file) for row in reader: if row: columns = row[0].split(';') if len(columns) > 1: first_column = columns[0].strip() path_key = first_column.split('/')[-1] for key_item in key: if exact_match: if key_item.lower() == row[0].split('/')[-1].split(';')[0].lower(): matched_values[path_key].append(row[0]) else: if key_item.lower() in first_column.lower(): matched_values[path_key].append(row[0]) #return matched_values # Concatenate all keys to create a single final_key final_key = ''.join(matched_values.keys()) # Combine all lists of values into a single list combined_values = [] for values in matched_values.values(): combined_values.extend(values) # Create the final dictionary with final_key and all combined values final_dict = {final_key: combined_values} #return dict(matched_values) return final_dict def list_files_in_range(start_timestamp, end_timestamp, sampling_stepsize): filenames_in_range = [f"{timestamp:10d}" for timestamp in range(start_timestamp, end_timestamp + 1, 2*sampling_stepsize)] return filenames_in_range def check_s3_files_exist(bucket_number, filename): s3cmd_ls_command = f"s3cmd ls s3://{bucket_number}-3e5b3069-214a-43ee-8d85-57d72000c19d/{filename}*" try: result = subprocess.run(s3cmd_ls_command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) lines = result.stdout.decode().split('\n')[:-1] filenames = [line.split()[-1].split('/')[-1] for line in lines] return filenames except subprocess.CalledProcessError as e: print(f"Error checking S3 files: {e}") return [] def download_files(bucket_number, filenames_to_download): output_directory = f"S3cmdData_{bucket_number}" if not os.path.exists(output_directory): os.makedirs(output_directory) print(f"Directory '{output_directory}' created.") for filename in filenames_to_download: stripfilename = filename.strip() local_path = os.path.join(output_directory, stripfilename + ".csv") if not os.path.exists(local_path): s3cmd_command = f"s3cmd get s3://{bucket_number}-3e5b3069-214a-43ee-8d85-57d72000c19d/{stripfilename}.csv {output_directory}/" try: subprocess.run(s3cmd_command, shell=True, check=True) downloaded_files = [file for file in os.listdir(output_directory) if file.startswith(filename)] if not downloaded_files: print(f"No matching files found for prefix '{filename}'.") else: print(f"Files with prefix '{filename}' downloaded successfully.") except subprocess.CalledProcessError as e: print(f"Error downloading files: {e}") continue else: print(f"File '{filename}.csv' already exists locally. Skipping download.") def visualize_data(data, output_directory): # Extract data for visualization (replace this with your actual data extraction) x_values = [int(entry[0]) for entry in data] y_values = [float(entry[1]) for entry in data] # Plotting plt.plot(x_values, y_values, marker='o', linestyle='-', color='b') plt.xlabel('Timestamp') plt.ylabel('Your Y-axis Label') plt.title('Your Plot Title') plt.grid(True) plt.savefig(os.path.join(output_directory, f"{start_timestamp}_{key}_plot.png")) plt.close() # Close the plot window # Save data to CSV csv_file_path = os.path.join(output_directory, f"{start_timestamp}_{key}_extracted.csv") with open(csv_file_path, 'w', newline='') as csvfile: csv_writer = csv.writer(csvfile) csv_writer.writerow(['Timestamp', 'Value']) # Adjust column names as needed csv_writer.writerows(data) def get_last_component(path): path_without_slashes = path.replace('/', '') return path_without_slashes def download_and_process_files(bucket_number, start_timestamp, end_timestamp, sampling_stepsize, key, booleans_as_numbers, exact_match): output_directory = f"S3cmdData_{bucket_number}" if not os.path.exists(output_directory): os.makedirs(output_directory) print(f"Directory '{output_directory}' created.") filenames_to_check = list_files_in_range(start_timestamp, end_timestamp, sampling_stepsize) #filenames_on_s3 = check_s3_files_exist(bucket_number, filenames_to_check, key) existing_files = [filename for filename in filenames_to_check if os.path.exists(os.path.join(output_directory, f"{filename}.csv"))] files_to_download = set(filenames_to_check) - set(existing_files) if os.listdir(output_directory): print("Files already exist in the local folder. Skipping download.") else: if files_to_download: download_files(bucket_number, files_to_download) # Process CSV files csv_files = [file for file in os.listdir(output_directory) if file.endswith('.csv')] csv_files.sort(key=extract_timestamp) keypath = '' for key_item in key: keypath+= get_last_component(key_item) output_csv_filename = f"{keypath}_{start_timestamp}_{bucket_number}.csv" with open(output_csv_filename, 'w', newline='') as csvfile: csv_writer = csv.writer(csvfile) header = ['time'] add_header = True for csv_file in csv_files: file_path = os.path.join(output_directory, csv_file) extracted_values = extract_values_by_key(file_path, key, exact_match) if add_header: add_header = False for values in extracted_values.values(): first_value = values for first_val in first_value: header.append(first_val.split(';')[0].strip()) break csv_writer.writerow(header) if extracted_values: for first_column, values in extracted_values.items(): if booleans_as_numbers: values = [1 if value.split(';')[1].strip() == "True" else 0 if value.split(';')[1].strip() == "False" else value.split(';')[1].strip() for value in values] values_list = [] values_list.append(csv_file.replace(".csv", "")) for i, value in enumerate(values): if value is None: value = "No value provided" else: values_list.append(value.split(';')[1].strip()) csv_writer.writerow(values_list) print(f"Extracted data saved in '{output_csv_filename}'.") def parse_keys(input_string): # Split the input string by commas and strip whitespace keys = [key.strip() for key in input_string.split(',')] # Return keys as a list if more than one, else return the single key #return keys if len(keys) > 1 else keys[0] return keys def main(): parser = argparse.ArgumentParser(description='Download files from S3 using s3cmd and extract specific values from CSV files.') parser.add_argument('start_timestamp', type=int, help='The start timestamp for the range (even number)') parser.add_argument('end_timestamp', type=int, help='The end timestamp for the range (even number)') #parser.add_argument('--key', type=str, required=True, help='The part to match from each CSV file') parser.add_argument('--keys', type=parse_keys, required=True, help='The part to match from each CSV file, can be a single key or a comma-separated list of keys') parser.add_argument('--bucket-number', type=int, required=True, help='The number of the bucket to download from') parser.add_argument('--sampling_stepsize', type=int, required=False, default=1, help='The number of 2sec intervals, which define the length of the sampling interval in S3 file retrieval') parser.add_argument('--booleans_as_numbers', action="store_true", required=False, help='If key used, then booleans are converted to numbers [0/1], if key not used, then booleans maintained as text [False/True]') parser.add_argument('--exact_match', action="store_true", required=False, help='If key used, then key has to match exactly "=", else it is enough that key is found "in" text') args = parser.parse_args(); start_timestamp = args.start_timestamp end_timestamp = args.end_timestamp keys = args.keys bucket_number = args.bucket_number sampling_stepsize = args.sampling_stepsize booleans_as_numbers = args.booleans_as_numbers exact_match = args.exact_match # Check if start_timestamp is smaller than end_timestamp if start_timestamp >= end_timestamp: print("Error: start_timestamp must be smaller than end_timestamp.") return download_and_process_files(bucket_number, start_timestamp, end_timestamp, sampling_stepsize, keys, booleans_as_numbers, exact_match) if __name__ == "__main__": main()