Сохранение данных в файл JSON в Python – проблема с добавлением нескольких ключей ⇐ Python

[Anonymous]

I have big data. from the data I want create script. From the big data , I want save data like this :

In pAccountIds1 it will save first 99 ids then go pAccountIds2 next 99 ids as strings and so on. then save it in Parameters directory. Everything ids are saved in pAccountIds1.

This is my expected output:

{"Parameters": [ {"pAccountIds1": "886180295749,575789942587,331377892512"}, {"pAccountIds2": "886180295749,575789942587,331377892512"} ]} This is actual behaviour:

{ "Parameters": [ { "pAccountIds1": "886180295749,169278231308,888561797329,316900773169,452451531881,263111390741,774531687947,307175455232,160582862483,503763934565,628239060389,732071894519,851207678364,176876819377,852942366732,697301814574,463173411868,813366789735,434423952232,104239629908,850131272446,173873129414,758190182387,917707497382,813660687632,295585687189,946660130177,531405577506,803054876607,150802796093,231981811420,288035531821,187585725025,381266788059,913104880535,109470036896,843076529994,554635727446,384741278002,179697366565,115248717328,834696924337,137711249429,241488429314,574589139538" } ] }

this is my sample data:

{ "deployment_map_source": "S3", "deployment_map_name": "deployment_maps.yaml", "pipeline_definition": { "name": "logs", "default_providers": { "source": { "provider": "codecommit", "properties": { "account_id": 715151534, "branch": "main" } }, "deploy": { "provider": "cloudformation", "properties": { "action": "replace_on_failure", "stack_name": "subscription" } } }, "params": { "restart_execution_on_update": true }, "targets": [ { "target": 1716335251, "properties": { "template_filename": "management.yml", "param_filename": "gen_parameter.json" }, "regions": "us-east-1", "path": [ 82446615151 ] }, { "target": [ 96342414163, 99926626625, 362514193959 ], "regions": "us-west-1", "path": [ 96342414163, 99926626625, 362514193959 ] } ] }, "pipeline_input": { "environments": { "targets": [ [ [ { "id": "715151515151", "name": "logs-pro", "path": 715151515151, "step_name": "" }, { "id": "286261515151", "name": "logs-dev", "path": 286261515151, "step_name": "" } ] ], [ [ { "id": "7363514399199001", "name": "logs-pro-dada", "path": 7363514399199001, "step_name": "" }, { "id": "u2716166633444", "name": "logs-dev", "path": 2716166633444, "step_name": "" } ] ] ] } } }

here is my script:

import json IGNORE_ACCOUNTID = '981813074321' OUTPUT_FILE = 'params/gen_parameter.json' def chunk_list(lst, chunk_size): """Helper function to chunk a list into smaller lists.""" for i in range(0, len(lst), chunk_size): yield lst[i:i + chunk_size] def extract_ids_from_targets(targets): extracted_ids = [] for target_group in targets: for target_list in target_group: for account in target_list: if 'id' in account and account['id'] != IGNORE_ACCOUNTID: extracted_ids.append(str(account['id'])) return extracted_ids def main(): with open("display.json") as f: data = json.load(f) targets = data.get("pipeline_input", {}).get("environments", {}).get("targets", []) print(f"Total targets: {sum(map(len, targets))}") # Split the targets into groups of 99 grouped_targets = list(chunk_list(targets, 99)) print(f"Total groups: {len(grouped_targets)}") # Create the final JSON structure result = [] for i, group in enumerate(grouped_targets, start=1): extracted_ids = extract_ids_from_targets(group) result.append({f"pAccountIds{i}": ','.join(extracted_ids)}) final_data = {"Parameters": result} json_str = json.dumps(final_data, indent=4) # Save the result to gen_parameter.json with open(OUTPUT_FILE, 'w') as f: f.write(json_str) if __name__ == '__main__': main()


Источник: https://stackoverflow.com/questions/781 ... tiple-keys