class EditForm(form.EditForm):
extends(form.EditForm)
grok.context(IFearture)
grok.require('zope2.View')
fields = field.Fields(IFearture)
label = _(u"modify standard parameters for Plotting the figure")
fields['coordination'].widgetFactory = DataGridFieldFactory
from zope.schema.vocabulary import SimpleVocabulary
from zope.schema.vocabulary import SimpleTerm
from five import grok
from zope.schema.interfaces import IVocabularyFactory
#import unicodedata
from emc.bokeh import _
source_type = [
('inline', 'inline', _(u'inline')),
('upload', 'upload', _(u'upload')),
('reference', 'reference', _(u'reference')),
]
source_type_terms = [
SimpleTerm(value, token, title) for value, token, title in source_type
]
class SourceType(object):
def __call__(self, context):
return SimpleVocabulary(source_type_terms)
grok.global_utility(SourceType,
IVocabularyFactory,
name="emc.bokeh.vocabulary.sourcetype")
axis_type = [
('linear', 'linear', _(u'Linear coordinate')),
('log', 'log', _(u'logarithmic coordinate')),
('datetime', 'date', _(u'Date time')),
def getData(self,
source="upload",
datadic=None,
upload=None,
reference=None):
# source = self.context.source
data = {'x': [], 'y': []}
if source == 'inline':
# this is a list,and every item of the list must be dic
# datadic = self.context.coordination
if datadic == None: return None
for d in datadic:
m = d['x']
n = d['y']
if m == None:
data['x'].append(0)
else:
data['x'].append(m)
if n == None:
data['y'].append(0)
else:
data['y'].append(n)
return data
elif source == 'upload':
# fo = self.context.upload
reader = upload.data
#split byte string to get all rows
rows = reader.split('\n')
#the first row is header cell,it must be same with template file's the first row.
header = rows[0].split(',')
if header != data_VALUES:
msg = _(
'Wrong specification of the CSV file. Please correct it and retry.'
)
type = 'error'
IStatusMessage(self.request).addStatusMessage(msg, type=type)
return None
else:
# data row
for row in rows[1:]:
line = row.split(',')
#remove space line
if len(line) == 2:
data['x'].append(float(line[0]))
data['y'].append(float(line[1]))
else:
continue
return data
# KB reference
else:
# rel = self.context.reference
ob = reference.to_object
reader = ob.file.data
rows = reader.split('\n')
#the first row is header cell,it must be same with template file's the first row.
header = rows[0].split(',')
if header != data_VALUES:
msg = _(
'Wrong specification of the CSV file. Please correct it and retry.'
)
type = 'error'
IStatusMessage(self.request).addStatusMessage(msg, type=type)
return None
else:
# data row
for row in rows[1:]:
line = row.split(',')
#remove space line
if len(line) == 2:
data['x'].append(float(line[0]))
data['y'].append(float(line[1]))
else:
continue
return data
from zope.schema.vocabulary import SimpleVocabulary
from zope.schema.vocabulary import SimpleTerm
from five import grok
from zope.schema.interfaces import IVocabularyFactory
#import unicodedata
from emc.bokeh import _
source_type=[ ('inline','inline',_(u'inline')),
('upload','upload',_(u'upload')),
('reference','reference',_(u'reference')),
]
source_type_terms = [SimpleTerm(value, token, title) for value, token, title in source_type ]
class SourceType(object):
def __call__(self, context):
return SimpleVocabulary(source_type_terms)
grok.global_utility(SourceType, IVocabularyFactory,
name="emc.bokeh.vocabulary.sourcetype")
axis_type=[ ('linear','linear',_(u'Linear coordinate')),
('log','log',_(u'logarithmic coordinate')),
('datetime','date',_(u'Date time')),
]
axis_type_terms = [SimpleTerm(value, token, title) for value, token, title in axis_type ]
class AxisType(object):
class IFearture(form.Schema, IBasic):
"""
emc project features content type
"""
#标准名称
dexteritytextindexer.searchable('title')
title = schema.TextLine(
title=_(u"standard name"),
default=u"",
required=True,
)
#标准描述
description = schema.TextLine(
title=_(u"standard description"),
default=u"",
required=False,
)
#图例
legend = schema.TextLine(
title=_(u"a legend of the first figure"),
default=u"",
required=True,
)
#图例
legend2 = schema.TextLine(
title=_(u"a legend of the second figure"),
default=u"",
required=False,
)
#坐标类型
x_axis_type = schema.Choice(title=_(u"x axis type"),
vocabulary="emc.bokeh.vocabulary.axistype",
default="linear",
required=True)
y_axis_type = schema.Choice(title=_(u"y axis type?"),
vocabulary="emc.bokeh.vocabulary.axistype",
default="linear",
required=True)
# 坐标名称：
x_axis_label = schema.TextLine(title=_(u"x axis label"),
default=u"X",
required=False)
y_axis_label = schema.TextLine(title=_(u"y axis label"),
default=u"Y",
required=False)
#数据来源
source = schema.Choice(title=_(
u"Where the source data that will composing the plot come from ?"),
vocabulary="emc.bokeh.vocabulary.sourcetype",
default="inline",
required=True)
source2 = schema.Choice(title=_(
u"Where the source data that will composing the plot come from ?"),
vocabulary="emc.bokeh.vocabulary.sourcetype",
default="inline",
required=False)
# 图像数据字段 在线输入
form.widget(coordination=DataGridFieldFactory)
coordination = schema.List(
title=_(u"coordination data"),
value_type=DictRow(title=_(u"coordination data row"),
schema=IPlotDataSchema),
required=False,
)
# 图像数据字段 在线输入
form.widget(coordination2=DataGridFieldFactory)
coordination2 = schema.List(
title=_(u"coordination data"),
value_type=DictRow(title=_(u"coordination data row"),
schema=IPlotDataSchema),
required=False,
)
#包含图像数据的csv文件
form.widget(upload=BokehNamedFileFieldWidget)
upload = NamedBlobFile(
title=_(u"figure data"),
description=_(u"Attach your figure data report file(csv format)."),
required=False,
)
#包含图像数据的csv文件
form.widget(upload2=BokehNamedFileFieldWidget)
upload2 = NamedBlobFile(
title=_(u"the second figure data"),
description=_(u"Attach your figure data report file(csv format)."),
required=False,
)
# 知识库中引用
reference = RelationChoice(
title=_(u"reference"),
source=ObjPathSourceBinder(object_provides=IFile.__identifier__),
required=False,
)
# 知识库中引用,file should be csv
reference2 = RelationChoice(
title=_(u"reference"),
source=ObjPathSourceBinder(object_provides=IFile.__identifier__),
required=False,
)
# 字段集
form.fieldset('secondsource',
label=_(u"second chart"),
fields=[
'legend2', 'source2', 'coordination2', 'upload2',
'reference2'
])
class IPlotDataSchema(Interface):
x = schema.Float(title=_(u"X Coordinate"))
y = schema.Float(title=_(u"Y Coordinate"))