我有两个模型的django项目:
this
数据库中有很多设备,我想绘制图表"设备数量"每个"设备型号"。
我试图用django chartit来完成这项任务。
view.py中的代码:
class DeviceModel(models.Model):
name = models.CharField(max_length=255)
def __unicode__(self):
return self.name
class Device(models.Model):
created_at = models.DateTimeField(auto_now_add=True)
device_model = models.ForeignKey(DeviceModel)
serial_number = models.CharField(max_length=255)
def __unicode__(self):
return self.device_model.name + " - " + self.serial_number
这似乎是我需要的结果,但它不是设备名称,而是绘制ForeignKey(1,2,3,4 ...)的值,我需要实际的设备型号名称。
我认为解决方案是改变类别'价值观:
ds = PivotDataPool(
series=[
{'options': {
'source':Device.objects.all(),
'categories':'device_model'
},
'terms':{
u'Amount':Count('device_model'),
}
}
],
)
pvcht = PivotChart(
datasource=ds,
series_options =
[{'options':{
'type': 'column',
'stacking': True
},
'terms':[
u'Amount']
}],
chart_options =
{'title': {
'text': u'Device amount chart'},
'xAxis': {
'title': {
'text': u'Device name'}},
'yAxis': {
'title': {
'text': u'Amount'}}}
)
return render(request, 'charts.html', {'my_chart': pvcht})
但是这给了我错误:
'categories':'device_model__name'
这种类型的引用应该符合官方示例http://chartit.shutupandship.com/demo/pivot/pivot-with-legend/
我在这里缺少什么?
'ManyToOneRel' object has no attribute 'parent_model'
C:\Anaconda\lib\site-packages\django\core\handlers\base.py in get_response
response = middleware_method(request, callback, callback_args, callback_kwargs)
if response:
break
if response is None:
wrapped_callback = self.make_view_atomic(callback)
try:
response = wrapped_callback(request, *callback_args, **callback_kwargs) ###
except Exception as e:
# If the view raised an exception, run it through exception
# middleware, and if the exception middleware returns a
# response, use that. Otherwise, reraise the exception.
for middleware_method in self._exception_middleware:
response = middleware_method(request, e)
D:\django\predator\predator\views.py in charts
series=[
{'options': {
'source':Device.objects.all(),
'categories':'device_model__name'
},
#'legend_by': 'device_model__device_class'},
'terms':{
u'Amount':Count('device_model'), ###
}
}
],
#pareto_term = 'Amount'
)
C:\Anaconda\lib\site-packages\chartit\chartdata.py in __init__
'terms': {
'asia_avg_temp': Avg('temperature')}}]
# Save user input to a separate dict. Can be used for debugging.
self.user_input = locals()
self.user_input['series'] = copy.deepcopy(series)
self.series = clean_pdps(series) ###
self.top_n_term = (top_n_term if top_n_term
in self.series.keys() else None)
self.top_n = (top_n if (self.top_n_term is not None
and isinstance(top_n, int)) else 0)
self.pareto_term = (pareto_term if pareto_term in
self.series.keys() else None)
C:\Anaconda\lib\site-packages\chartit\validation.py in clean_pdps
def clean_pdps(series):
"""Clean the PivotDataPool series input from the user.
"""
if isinstance(series, list):
series = _convert_pdps_to_dict(series)
clean_pdps(series) ###
elif isinstance(series, dict):
if not series:
raise APIInputError("'series' cannot be empty.")
for td in series.values():
# td is not a dict
if not isinstance(td, dict):
C:\Anaconda\lib\site-packages\chartit\validation.py in clean_pdps
try:
_validate_func(td['func'])
except KeyError:
raise APIInputError("Missing 'func': %s" % td)
# categories
try:
td['categories'], fa_cat = _clean_categories(td['categories'],
td['source']) ###
except KeyError:
raise APIInputError("Missing 'categories': %s" % td)
# legend_by
try:
td['legend_by'], fa_lgby = _clean_legend_by(td['legend_by'],
td['source'])
C:\Anaconda\lib\site-packages\chartit\validation.py in _clean_categories
else:
raise APIInputError("'categories' must be one of the following "
"types: basestring, tuple or list. Got %s of "
"type %s instead."
%(categories, type(categories)))
field_aliases = {}
for c in categories:
field_aliases[c] = _validate_field_lookup_term(source.model, c) ###
return categories, field_aliases
def _clean_legend_by(legend_by, source):
if isinstance(legend_by, basestring):
legend_by = [legend_by]
elif isinstance(legend_by, (tuple, list)):
答案 0 :(得分:0)
在categories
中,您只能使用source
queryset中包含的字段。
另一方面,您可以使用foreignKey或manyTomany连接字段。
在下面找一个例子。
而不是使用
'source':Device.objects.all()
'categories':'device_model'
尝试使用
'source':DeviceModel.objects.all()
'categories':'name'
和下一个
'Amount':Count('device__device_model')
答案 1 :(得分:0)
我认为较新版本的django(1.8)存在问题。
不推荐使用此代码:
m = field_details[0].related.parent_model
而不是使用
m = field_details[0].getattr(field.related, 'related_model', field.related.model)
您还可以在GitHub上找到解决此问题的方法。
希望这有帮助。