I am preparing a test data for the feature testing . I have 1000 json file with same below structure in local folder .
I need to replace two key from all the places and create 1000 different json . Key that needs to be replaced is "f_ID": "80510926" and "f_Ctb": "10333" "f_ID": "80510926" appears in all the array but "f_Ctb": "10333" appear only once .
The replaced value can be running number 1 to 100 in all files .
Can some one suggest how we can do this python to create 1000 files
{
"t_A": [
{
"f_ID": "80510926",
"f_Ctb": "10333",
"f_isPasswordProtected": "False"
}
],
"t_B": [
{
"f_ID": "80510926",
"f_B_Company_ID": "10333",
"f_B_ID": "1",
"f_ArriveDate": "20151001 151535.775"
},
{
"f_ID": "80510926",
"f_B_Company_ID": "10333",
"f_B_ID": "1700",
"f_ArriveDate": "20151001 151535.775"
}
],
"t_C": [
{
"f_ID": "80510926",
"f_Set_Code": "TRBC ",
"f_Industry_Code": "10 ",
"f_InsertDate": "20151001 151535.775"
},
],
"t_D": [
{
"f_ID": "80510926",
"f_Headline": "Global Reinsurance: Questions and themes into Monte Carlo",
"f_Synopsis": ""
}
]
}
CodePudding user response:
here is the solution run in the folder where you have 1000 json files.
It will read all the json files and replace the f_ID
and f_Ctb
with the count and write the file with same file name in output folder.
import os
import json
all_files = os.listdir()
json_files = {f: f for f in all_files if f.endswith(".json")}
json_files_keys = list(json_files.keys())
json_files_keys.sort()
OUTPUT_FOLDER = "output"
if not os.path.exists(OUTPUT_FOLDER):
os.mkdir(OUTPUT_FOLDER)
for file_name in json_files_keys:
f_read = open(file_name, "r").read()
data = json.loads(f_read)
output_data = {}
count = 1
for key, val_list in data.items():
for nest_dict in val_list:
if "f_ID" in nest_dict:
nest_dict["f_ID"] = count
if "f_Ctb" in nest_dict:
nest_dict["f_Ctb"] = count
if key in output_data:
output_data[key].append(nest_dict)
else:
output_data[key] = [nest_dict]
else:
output_data[key] = val_list
count = 1
output_file = open(f"{OUTPUT_FOLDER}/{file_name}", "w")
output_file.write(json.dumps(output_data))
output_file.close()