mirror of https://github.com/jumpserver/jumpserver
120 lines
3.9 KiB
Python
120 lines
3.9 KiB
Python
import codecs
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import copy
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import csv
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from itertools import chain
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from datetime import datetime
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from django.db import models
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from django.http import HttpResponse
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from common.utils.timezone import as_current_tz
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from common.utils import validate_ip, get_ip_city, get_logger
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from .const import DEFAULT_CITY
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logger = get_logger(__name__)
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def get_excel_response(filename):
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excel_response = HttpResponse(content_type='text/csv')
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excel_response[
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'Content-Disposition'] = 'attachment; filename="%s"' % filename
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excel_response.write(codecs.BOM_UTF8)
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return excel_response
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def write_content_to_excel(response, header=None, login_logs=None, fields=None):
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writer = csv.writer(response, dialect='excel', quoting=csv.QUOTE_MINIMAL)
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if header:
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writer.writerow(header)
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if login_logs:
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for log in login_logs:
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data = [getattr(log, field.name) for field in fields]
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writer.writerow(data)
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return response
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def write_login_log(*args, **kwargs):
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from audits.models import UserLoginLog
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ip = kwargs.get('ip') or ''
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if not (ip and validate_ip(ip)):
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ip = ip[:15]
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city = DEFAULT_CITY
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else:
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city = get_ip_city(ip) or DEFAULT_CITY
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kwargs.update({'ip': ip, 'city': city})
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UserLoginLog.objects.create(**kwargs)
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def _get_instance_field_value(
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instance, include_model_fields,
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model_need_continue_fields, exclude_fields=None
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):
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data = {}
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opts = getattr(instance, '_meta', None)
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if opts is not None:
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for f in chain(opts.concrete_fields, opts.private_fields):
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if not include_model_fields and not getattr(f, 'primary_key', False):
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continue
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if isinstance(f, (models.FileField, models.ImageField)):
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continue
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if getattr(f, 'attname', None) in model_need_continue_fields:
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continue
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value = getattr(instance, f.name) or getattr(instance, f.attname)
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if not isinstance(value, bool) and not value:
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continue
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if getattr(f, 'primary_key', False):
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f.verbose_name = 'id'
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elif isinstance(value, (list, dict)):
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value = copy.deepcopy(value)
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elif isinstance(value, datetime):
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value = as_current_tz(value).strftime('%Y-%m-%d %H:%M:%S')
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elif isinstance(f, models.OneToOneField) and isinstance(value, models.Model):
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nested_data = _get_instance_field_value(
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value, include_model_fields, model_need_continue_fields, ('id',)
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)
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for k, v in nested_data.items():
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if exclude_fields and k in exclude_fields:
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continue
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data.setdefault(k, v)
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continue
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data.setdefault(str(f.verbose_name), value)
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return data
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def model_to_dict_for_operate_log(
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instance, include_model_fields=True, include_related_fields=False
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):
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model_need_continue_fields = ['date_updated']
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m2m_need_continue_fields = ['history_passwords']
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data = _get_instance_field_value(
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instance, include_model_fields, model_need_continue_fields
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)
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if include_related_fields:
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opts = instance._meta
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for f in opts.many_to_many:
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value = []
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if instance.pk is not None:
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related_name = getattr(f, 'attname', '') or getattr(f, 'related_name', '')
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if not related_name or related_name in m2m_need_continue_fields:
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continue
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try:
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value = [str(i) for i in getattr(instance, related_name).all()]
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except:
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pass
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if not value:
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continue
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try:
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field_key = getattr(f, 'verbose_name', None) or f.related_model._meta.verbose_name
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data.setdefault(str(field_key), value)
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except:
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pass
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return data
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