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chore(convert): comment out create_damage_files obsolete function

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nuluh
2025-06-09 18:59:51 +07:00
parent f5dada1b9c
commit ebaa263781
1 changed files with 54 additions and 54 deletions
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108
data/QUGS/convert.py
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@@ -277,66 +277,66 @@ class DataProcessor:
) )
def create_damage_files(base_path, output_base, prefix): # def create_damage_files(base_path, output_base, prefix):
# Initialize colorama # # Initialize colorama
init(autoreset=True) # init(autoreset=True)
# Generate column labels based on expected duplication in input files # # Generate column labels based on expected duplication in input files
columns = ["Real"] + [ # columns = ["Real"] + [
f"Real.{i}" for i in range(1, 30) # f"Real.{i}" for i in range(1, 30)
] # Explicitly setting column names # ] # Explicitly setting column names
sensor_end_map = { # sensor_end_map = {
1: "Real.25", # 1: "Real.25",
2: "Real.26", # 2: "Real.26",
3: "Real.27", # 3: "Real.27",
4: "Real.28", # 4: "Real.28",
5: "Real.29", # 5: "Real.29",
} # }
# Define the damage scenarios and the corresponding original file indices # # Define the damage scenarios and the corresponding original file indices
damage_scenarios = { # damage_scenarios = {
1: range(1, 6), # Damage 1 files from zzzAD1.csv to zzzAD5.csv # 1: range(1, 6), # Damage 1 files from zzzAD1.csv to zzzAD5.csv
2: range(6, 11), # Damage 2 files from zzzAD6.csv to zzzAD10.csv # 2: range(6, 11), # Damage 2 files from zzzAD6.csv to zzzAD10.csv
3: range(11, 16), # Damage 3 files from zzzAD11.csv to zzzAD15.csvs # 3: range(11, 16), # Damage 3 files from zzzAD11.csv to zzzAD15.csvs
4: range(16, 21), # Damage 4 files from zzzAD16.csv to zzzAD20.csv # 4: range(16, 21), # Damage 4 files from zzzAD16.csv to zzzAD20.csv
5: range(21, 26), # Damage 5 files from zzzAD21.csv to zzzAD25.csv # 5: range(21, 26), # Damage 5 files from zzzAD21.csv to zzzAD25.csv
6: range(26, 31), # Damage 6 files from zzzAD26.csv to zzzAD30.csv # 6: range(26, 31), # Damage 6 files from zzzAD26.csv to zzzAD30.csv
} # }
damage_pad = len(str(len(damage_scenarios))) # damage_pad = len(str(len(damage_scenarios)))
test_pad = len(str(30)) # test_pad = len(str(30))
for damage, files in damage_scenarios.items(): # for damage, files in damage_scenarios.items():
for i, file_index in enumerate(files, start=1): # for i, file_index in enumerate(files, start=1):
# Load original data file # # Load original data file
file_path = os.path.join(base_path, f"zzz{prefix}D{file_index}.TXT") # file_path = os.path.join(base_path, f"zzz{prefix}D{file_index}.TXT")
df = pd.read_csv( # df = pd.read_csv(
file_path, sep="\t", skiprows=10 # file_path, sep="\t", skiprows=10
) # Read with explicit column names # ) # Read with explicit column names
top_sensor = columns[i - 1] # top_sensor = columns[i - 1]
print(top_sensor, type(top_sensor)) # print(top_sensor, type(top_sensor))
output_file_1 = os.path.join( # output_file_1 = os.path.join(
output_base, f"DAMAGE_{damage}", f"DAMAGE{damage}_TEST{i}_01.csv" # output_base, f"DAMAGE_{damage}", f"DAMAGE{damage}_TEST{i}_01.csv"
) # )
print(f"Creating {output_file_1} from taking zzz{prefix}D{file_index}.TXT") # print(f"Creating {output_file_1} from taking zzz{prefix}D{file_index}.TXT")
print("Taking datetime column on index 0...") # print("Taking datetime column on index 0...")
print(f"Taking `{top_sensor}`...") # print(f"Taking `{top_sensor}`...")
os.makedirs(os.path.dirname(output_file_1), exist_ok=True) # os.makedirs(os.path.dirname(output_file_1), exist_ok=True)
df[["Time", top_sensor]].to_csv(output_file_1, index=False) # df[["Time", top_sensor]].to_csv(output_file_1, index=False)
print(Fore.GREEN + "Done") # print(Fore.GREEN + "Done")
bottom_sensor = sensor_end_map[i] # bottom_sensor = sensor_end_map[i]
output_file_2 = os.path.join( # output_file_2 = os.path.join(
output_base, f"DAMAGE_{damage}", f"DAMAGE{damage}_TEST{i}_02.csv" # output_base, f"DAMAGE_{damage}", f"DAMAGE{damage}_TEST{i}_02.csv"
) # )
print(f"Creating {output_file_2} from taking zzz{prefix}D{file_index}.TXT") # print(f"Creating {output_file_2} from taking zzz{prefix}D{file_index}.TXT")
print("Taking datetime column on index 0...") # print("Taking datetime column on index 0...")
print(f"Taking `{bottom_sensor}`...") # print(f"Taking `{bottom_sensor}`...")
os.makedirs(os.path.dirname(output_file_2), exist_ok=True) # os.makedirs(os.path.dirname(output_file_2), exist_ok=True)
df[["Time", bottom_sensor]].to_csv(output_file_2, index=False) # df[["Time", bottom_sensor]].to_csv(output_file_2, index=False)
print(Fore.GREEN + "Done") # print(Fore.GREEN + "Done")
print("---") # print("---")
def main(): def main():