- android - 多次调用 OnPrimaryClipChangedListener
- android - 无法更新 RecyclerView 中的 TextView 字段
- android.database.CursorIndexOutOfBoundsException : Index 0 requested, 光标大小为 0
- android - 使用 AppCompat 时,我们是否需要明确指定其 UI 组件(Spinner、EditText)颜色
我想将 django-import-export
与基于类的 View 一起使用。
在 https://django-import-export.readthedocs.org/en/latest/getting_started.html 的文档中我看到一个导出为 csv 的示例
>>> dataset = BookResource().export()
>>> print dataset.csv
id,name,author,author_email,imported,published,price,categories
2,Some book,1,,0,2012-12-05,8.85,1
但是如果我想返回一个 Excel 文件,我应该使用哪个基于类的 View 呢?只是查看
?
最佳答案
果酱,
基于 https://github.com/bmihelac/django-import-export 的实现并以具有名称和缩写属性的模型“国家/地区”为例:
首先,在国家模型文件的末尾定义资源:
class CountryResource(resources.ModelResource):
class Meta:
model = Country
然后,实现基于类的 View :
class CountryExport(View):
def get(self, *args, **kwargs ):
dataset = CountryResource().export()
response = HttpResponse(dataset.csv, content_type="csv")
response['Content-Disposition'] = 'attachment; filename=filename.csv'
return response
class CountryImport(View):
model = Country
from_encoding = "utf-8"
#: import / export formats
DEFAULT_FORMATS = (
base_formats.CSV,
base_formats.XLS,
base_formats.TSV,
base_formats.ODS,
base_formats.JSON,
base_formats.YAML,
base_formats.HTML,
)
formats = DEFAULT_FORMATS
#: template for import view
import_template_name = 'Country/import.html'
resource_class = None
def get_import_formats(self):
"""
Returns available import formats.
"""
return [f for f in self.formats if f().can_import()]
def get_resource_class(self):
if not self.resource_class:
return modelresource_factory(self.model)
else:
return self.resource_class
def get_import_resource_class(self):
"""
Returns ResourceClass to use for import.
"""
return self.get_resource_class()
def get(self, *args, **kwargs ):
'''
Perform a dry_run of the import to make sure the import will not
result in errors. If there where no error, save the user
uploaded file to a local temp file that will be used by
'process_import' for the actual import.
'''
resource = self.get_import_resource_class()()
context = {}
import_formats = self.get_import_formats()
form = ImportForm(import_formats,
self.request.POST or None,
self.request.FILES or None)
if self.request.POST and form.is_valid():
input_format = import_formats[
int(form.cleaned_data['input_format'])
]()
import_file = form.cleaned_data['import_file']
# first always write the uploaded file to disk as it may be a
# memory file or else based on settings upload handlers
with tempfile.NamedTemporaryFile(delete=False) as uploaded_file:
for chunk in import_file.chunks():
uploaded_file.write(chunk)
# then read the file, using the proper format-specific mode
with open(uploaded_file.name,
input_format.get_read_mode()) as uploaded_import_file:
# warning, big files may exceed memory
data = uploaded_import_file.read()
if not input_format.is_binary() and self.from_encoding:
data = force_text(data, self.from_encoding)
dataset = input_format.create_dataset(data)
result = resource.import_data(dataset, dry_run=True,
raise_errors=False)
context['result'] = result
if not result.has_errors():
context['confirm_form'] = ConfirmImportForm(initial={
'import_file_name': os.path.basename(uploaded_file.name),
'input_format': form.cleaned_data['input_format'],
})
context['form'] = form
context['opts'] = self.model._meta
context['fields'] = [f.column_name for f in resource.get_fields()]
return TemplateResponse(self.request, [self.import_template_name], context)
def post(self, *args, **kwargs ):
'''
Perform a dry_run of the import to make sure the import will not
result in errors. If there where no error, save the user
uploaded file to a local temp file that will be used by
'process_import' for the actual import.
'''
resource = self.get_import_resource_class()()
context = {}
import_formats = self.get_import_formats()
form = ImportForm(import_formats,
self.request.POST or None,
self.request.FILES or None)
if self.request.POST and form.is_valid():
input_format = import_formats[
int(form.cleaned_data['input_format'])
]()
import_file = form.cleaned_data['import_file']
# first always write the uploaded file to disk as it may be a
# memory file or else based on settings upload handlers
with tempfile.NamedTemporaryFile(delete=False) as uploaded_file:
for chunk in import_file.chunks():
uploaded_file.write(chunk)
# then read the file, using the proper format-specific mode
with open(uploaded_file.name,
input_format.get_read_mode()) as uploaded_import_file:
# warning, big files may exceed memory
data = uploaded_import_file.read()
if not input_format.is_binary() and self.from_encoding:
data = force_text(data, self.from_encoding)
dataset = input_format.create_dataset(data)
result = resource.import_data(dataset, dry_run=True,
raise_errors=False)
context['result'] = result
if not result.has_errors():
context['confirm_form'] = ConfirmImportForm(initial={
'import_file_name': os.path.basename(uploaded_file.name),
'input_format': form.cleaned_data['input_format'],
})
context['form'] = form
context['opts'] = self.model._meta
context['fields'] = [f.column_name for f in resource.get_fields()]
return TemplateResponse(self.request, [self.import_template_name], context)
class CountryProcessImport(View):
model = Country
from_encoding = "utf-8"
#: import / export formats
DEFAULT_FORMATS = (
base_formats.CSV,
base_formats.XLS,
base_formats.TSV,
base_formats.ODS,
base_formats.JSON,
base_formats.YAML,
base_formats.HTML,
)
formats = DEFAULT_FORMATS
#: template for import view
import_template_name = 'Country/import.html'
resource_class = None
def get_import_formats(self):
"""
Returns available import formats.
"""
return [f for f in self.formats if f().can_import()]
def get_resource_class(self):
if not self.resource_class:
return modelresource_factory(self.model)
else:
return self.resource_class
def get_import_resource_class(self):
"""
Returns ResourceClass to use for import.
"""
return self.get_resource_class()
def post(self, *args, **kwargs ):
'''
Perform the actual import action (after the user has confirmed he
wishes to import)
'''
opts = self.model._meta
resource = self.get_import_resource_class()()
confirm_form = ConfirmImportForm(self.request.POST)
if confirm_form.is_valid():
import_formats = self.get_import_formats()
input_format = import_formats[
int(confirm_form.cleaned_data['input_format'])
]()
import_file_name = os.path.join(
tempfile.gettempdir(),
confirm_form.cleaned_data['import_file_name']
)
import_file = open(import_file_name, input_format.get_read_mode())
data = import_file.read()
if not input_format.is_binary() and self.from_encoding:
data = force_text(data, self.from_encoding)
dataset = input_format.create_dataset(data)
result = resource.import_data(dataset, dry_run=False,
raise_errors=True)
# Add imported objects to LogEntry
ADDITION = 1
CHANGE = 2
DELETION = 3
logentry_map = {
RowResult.IMPORT_TYPE_NEW: ADDITION,
RowResult.IMPORT_TYPE_UPDATE: CHANGE,
RowResult.IMPORT_TYPE_DELETE: DELETION,
}
content_type_id=ContentType.objects.get_for_model(self.model).pk
'''
for row in result:
LogEntry.objects.log_action(
user_id=request.user.pk,
content_type_id=content_type_id,
object_id=row.object_id,
object_repr=row.object_repr,
action_flag=logentry_map[row.import_type],
change_message="%s through import_export" % row.import_type,
)
'''
success_message = _('Import finished')
messages.success(self.request, success_message)
import_file.close()
url = reverse('%s_list' % (str(opts.app_label).lower()))
return HttpResponseRedirect(url)
模板 import.html 具有以下代码:
<h1>{% trans "Importar" %} {{ opts.app_label }}</h1>
{% if confirm_form %}
<form action="{% url "process_import" %}" method="POST">
{% csrf_token %}
{{ confirm_form.as_p }}
<p>
{% trans "Below is a preview of data to be imported. If you are satisfied with the results, click 'Confirm import'" %}
</p>
<div class="submit-row">
<input type="submit" class="btn" name="confirm" value="{% trans "Confirm import" %}">
</div>
</form>
{% else %}
<form action="{{ form_url }}" method="post" id="{{ opts.module_name }}_form" enctype="multipart/form-data">
{% csrf_token %}
<p>
{% trans "This importer will import the following fields: " %}
{% for f in fields %}
{% if forloop.counter0 %}
,
{% endif %}
<tt>{{ f }}</tt>
{% endfor %}
</p>
<fieldset class="module aligned">
{% for field in form %}
<div class="form-row">
{{ field.errors }}
{{ field.label_tag }}
{{ field }}
{% if field.field.help_text %}
<p class="help">{{ field.field.help_text|safe }}</p>
{% endif %}
</div>
{% endfor %}
</fieldset>
<div class="submit-row">
<input type="submit" class="btn" value="{% trans "Submit" %}">
</div>
</form>
{% endif %}
{% if result %}
{% if result.has_errors %}
<h2>{% trans "Errors" %}</h2>
<ul>
{% for error in result.base_errors %}
<li>{{ error.error }}</li>
{% endfor %}
{% for line, errors in result.row_errors %}
{% for error in errors %}
<li>
{% trans "Line number" %}: {{ line }} - {{ error.error }}
<div class="traceback">{{ error.traceback|linebreaks }}</div>
</li>
{% endfor %}
{% endfor %}
</ul>
{% else %}
<h2>
{% trans "Preview" %}
</h2>
<table>
<thead>
<tr>
<th></th>
{% for field in fields %}
<th>{{ field }}</th>
{% endfor %}
</tr>
</thead>
{% for row in result.rows %}
<tr>
<td>
{% if row.import_type == 'new' %}
{% trans "New" %}
{% elif row.import_type == 'skip' %}
{% trans "Skipped" %}
{% elif row.import_type == 'delete' %}
{% trans "Delete" %}
{% elif row.import_type == 'update' %}
{% trans "Update" %}
{% endif %}
</td>
{% for field in row.diff %}
<td>
{{ field }}
</td>
{% endfor %}
</tr>
{% endfor %}
</table>
{% endif %}
{% endif %}
并且 urls.py 应该包含:
#export
url(r'export/$', login_required(CountryExport.as_view()), name='country_export'),
#import
url(r'import/$', login_required(CountryImport.as_view()), name='country_import'),
url(r'process_import/$', login_required(CountryProcessImport.as_view()), name='process_import'),
关于python - 将 django-import-export 与基于类的 View 一起使用,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/24008820/
我正在处理一组标记为 160 个组的 173k 点。我想通过合并最接近的(到 9 或 10 个组)来减少组/集群的数量。我搜索过 sklearn 或类似的库,但没有成功。 我猜它只是通过 knn 聚类
我有一个扁平数字列表,这些数字逻辑上以 3 为一组,其中每个三元组是 (number, __ignored, flag[0 or 1]),例如: [7,56,1, 8,0,0, 2,0,0, 6,1,
我正在使用 pipenv 来管理我的包。我想编写一个 python 脚本来调用另一个使用不同虚拟环境(VE)的 python 脚本。 如何运行使用 VE1 的 python 脚本 1 并调用另一个 p
假设我有一个文件 script.py 位于 path = "foo/bar/script.py"。我正在寻找一种在 Python 中通过函数 execute_script() 从我的主要 Python
这听起来像是谜语或笑话,但实际上我还没有找到这个问题的答案。 问题到底是什么? 我想运行 2 个脚本。在第一个脚本中,我调用另一个脚本,但我希望它们继续并行,而不是在两个单独的线程中。主要是我不希望第
我有一个带有 python 2.5.5 的软件。我想发送一个命令,该命令将在 python 2.7.5 中启动一个脚本,然后继续执行该脚本。 我试过用 #!python2.7.5 和http://re
我在 python 命令行(使用 python 2.7)中,并尝试运行 Python 脚本。我的操作系统是 Windows 7。我已将我的目录设置为包含我所有脚本的文件夹,使用: os.chdir("
剧透:部分解决(见最后)。 以下是使用 Python 嵌入的代码示例: #include int main(int argc, char** argv) { Py_SetPythonHome
假设我有以下列表,对应于及时的股票价格: prices = [1, 3, 7, 10, 9, 8, 5, 3, 6, 8, 12, 9, 6, 10, 13, 8, 4, 11] 我想确定以下总体上最
所以我试图在选择某个单选按钮时更改此框架的背景。 我的框架位于一个类中,并且单选按钮的功能位于该类之外。 (这样我就可以在所有其他框架上调用它们。) 问题是每当我选择单选按钮时都会出现以下错误: co
我正在尝试将字符串与 python 中的正则表达式进行比较,如下所示, #!/usr/bin/env python3 import re str1 = "Expecting property name
考虑以下原型(prototype) Boost.Python 模块,该模块从单独的 C++ 头文件中引入类“D”。 /* file: a/b.cpp */ BOOST_PYTHON_MODULE(c)
如何编写一个程序来“识别函数调用的行号?” python 检查模块提供了定位行号的选项,但是, def di(): return inspect.currentframe().f_back.f_l
我已经使用 macports 安装了 Python 2.7,并且由于我的 $PATH 变量,这就是我输入 $ python 时得到的变量。然而,virtualenv 默认使用 Python 2.6,除
我只想问如何加快 python 上的 re.search 速度。 我有一个很长的字符串行,长度为 176861(即带有一些符号的字母数字字符),我使用此函数测试了该行以进行研究: def getExe
list1= [u'%app%%General%%Council%', u'%people%', u'%people%%Regional%%Council%%Mandate%', u'%ppp%%Ge
这个问题在这里已经有了答案: Is it Pythonic to use list comprehensions for just side effects? (7 个答案) 关闭 4 个月前。 告
我想用 Python 将两个列表组合成一个列表,方法如下: a = [1,1,1,2,2,2,3,3,3,3] b= ["Sun", "is", "bright", "June","and" ,"Ju
我正在运行带有最新 Boost 发行版 (1.55.0) 的 Mac OS X 10.8.4 (Darwin 12.4.0)。我正在按照说明 here构建包含在我的发行版中的教程 Boost-Pyth
学习 Python,我正在尝试制作一个没有任何第 3 方库的网络抓取工具,这样过程对我来说并没有简化,而且我知道我在做什么。我浏览了一些在线资源,但所有这些都让我对某些事情感到困惑。 html 看起来
我是一名优秀的程序员,十分优秀!