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Copy pathdbexport.py
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83 lines (69 loc) · 2.87 KB
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#!/usr/bin/python3
# coding=utf-8
"""
OneForAll export from database module
:copyright: Copyright (c) 2019, Jing Ling. All rights reserved.
:license: GNU General Public License v3.0, see LICENSE for more details.
"""
import fire
from common import utils
from common.database import Database
from config.log import logger
def domain_to_table(table):
return table.replace('.', '_') + "_now_result"
def export(target, type='target', db=None, alive=False, limit=None, path=None, format='csv', show=False):
"""
OneForAll export from database module
Example:
python3 dbexport.py --target name --format csv --dir= ./result.csv
python3 dbexport.py --db result.db --target name --show False
python3 dbexport.py --target table_name --tb True --show False
Note:
--format rst/csv/tsv/json/yaml/html/jira/xls/xlsx/dbf/latex/ods (result format)
--path Result directory (default directory is ./results)
:param str target: Table to be exported
:param str type: Type of target
:param str db: Database path to be exported (default ./results/result.sqlite3)
:param bool alive: Only export the results of alive subdomains (default False)
:param str limit: Export limit (default None)
:param str format: Result format (default csv)
:param str path: Result directory (default None)
:param bool show: Displays the exported data in terminal (default False)
"""
if type == 'target':
database = Database(db)
domains = utils.get_domains(target)
datas = []
if domains:
for domain in domains:
table_name = domain_to_table(domain)
rows = database.export_data(table_name, alive, limit)
if rows is None:
continue
format = utils.check_format(format, len(rows))
path = utils.check_path(path, target, format)
if show:
print(rows.dataset)
data = rows.export(format)
utils.save_data(path, data)
logger.log('ALERT', f'The subdomain result for {table_name}: {path}')
data = rows.as_dict()
datas.extend(data)
database.close()
if len(domains) > 1:
utils.export_all(alive, format, path, datas)
elif type == 'table':
database = Database(db)
rows = database.export_data(target, alive, limit)
format = utils.check_format(format, len(rows))
path = utils.check_path(path, target, format)
if show:
print(rows.dataset)
data = rows.export(format)
database.close()
utils.save_data(path, data)
logger.log('ALERT', f'The subdomain result for {target}: {path}')
data_dict = rows.as_dict()
return data_dict
if __name__ == '__main__':
fire.Fire(export)