class MoodChangeDatasetMixin(object):
recorded_start = Field(header='recorded start')
recorded = Field(header='recorded end')
def __init__(self, *args, **kwargs):
moods = Mood.objects.all().order_by('name').values_list('name',
flat=True)
mood_fields = []
for (mood, time) in product(moods, ('in', 'out')):
field_name = '%s_%s' % (str(mood).replace(' ', '_'), time)
header_name = '%s (%s)' % (mood, time)
self.base_fields[field_name] = Field(header=header_name)
mood_fields.append(field_name)
self._meta.field_order += tuple(mood_fields)
super(MoodChangeDatasetMixin, self).__init__(*args, **kwargs)
class Meta:
model = MoodChange
fields = [
'recorded_start',
'recorded',
]
field_order = (
'recorded_start',
'recorded',
)
class LookingGoodDatasetMixin(object):
total_participants = Field(header='total participants')
total_tags = Field(header='total tags')
items_tagged = Field(header='items tagged')
class Meta:
model = LookingGoodEvent
fields = [
'total_participants',
'total_tags',
'items_tagged',
]
def __init__(self, *args, **kwargs):
units = system_distance_units(kwargs.get('measurement_system', None))
# Add bed dimensions
self.base_fields.update({
'bed_length': Field(attribute='bed_length_%s' % units,
header='bed length (%s)' % units),
'bed_width': Field(attribute='bed_width_%s' % units,
header='bed width (%s)' % units)
})
self._meta.field_order += ('bed_width', 'bed_length',)
super(CropcountDatasetMixin, self).__init__(*args, **kwargs)
class RecipeTallyDatasetMixin(object):
recorded = Field(header='recorded end')
recipes_count = Field(header='# of recipes')
class Meta:
model = RecipeTally
fields = [
'recorded',
'recipes_count',
]
field_order = (
'recorded',
'recipes_count',
)
class HarvestcountDatasetMixin(object):
gardener = Field(header='gardener')
crop = Field(header='crop')
crop_variety = Field(header='crop variety')
plants = Field(header='plants')
area = Field(header='area')
def __init__(self, **kwargs):
units = system_weight_units(kwargs.get('measurement_system', None))
self.base_fields.update({
'weight':
Field(attribute='weight_%s' % units, header='weight (%s)' % units)
})
self._meta.fields = [
'weight',
] + self._meta.fields
if self._meta.field_order:
self._meta.field_order = ('weight', ) + self._meta.field_order
else:
self._meta.field_order = ('weight', )
super(HarvestcountDatasetMixin, self).__init__(**kwargs)
class Meta:
model = Harvest
fields = [
'recorded',
'gardener',
'crop',
'crop_variety',
'plants',
'area',
]
field_order = (
'recorded',
'gardener',
'crop',
'crop_variety',
'plants',
'area',
)
class YumYuckDatasetMixin(object):
recorded = Field(header='recorded')
crop = Field(header='crop')
yum_before = Field(header='yum before')
yuck_before = Field(header='yuck before')
yum_after = Field(header='yum after')
yuck_after = Field(header='yuck after')
class Meta:
model = YumYuck
fields = [
'recorded',
'crop',
'yum_before',
'yuck_before',
'yum_after',
'yuck_after',
]
field_order = (
'recorded',
'crop',
'yum_before',
'yuck_before',
'yum_after',
'yuck_after',
)
class HoursByGeographyDatasetMixin(object):
recorded_start = Field(header='recorded start')
recorded = Field(header='recorded end')
in_half = Field(header='1/2-hour pins "IN"')
in_whole = Field(header='1-hour pins "IN"')
out_half = Field(header='1/2-hour pins "OUT"')
out_whole = Field(header='1-hour pins "OUT"')
class Meta:
model = HoursByGeography
fields = [
'recorded_start',
'recorded',
'in_half',
'in_whole',
'out_half',
'out_whole',
]
field_order = (
'recorded_start',
'recorded',
'in_half',
'in_whole',
'out_half',
'out_whole',
)
class HoursByTaskDatasetMixin(object):
recorded_start = Field(header='recorded start')
recorded = Field(header='recorded end')
def __init__(self, *args, **kwargs):
tasks = Task.objects.all().order_by('name')
task_fields = []
def attrify(task):
"""
Get an attr string for the task that will work on an HoursByTask
object.
"""
return 'task_%d' % task.pk
# Add all potential tasks
for task in tasks:
field_name = attrify(task)
self.base_fields[field_name] = Field(header=task.name)
task_fields.append(field_name)
self._meta.field_order += tuple(task_fields)
# Add task_other
self.base_fields['task_other'] = Field(header='other tasks examples')
self._meta.field_order += ('task_other', )
super(HoursByTaskDatasetMixin, self).__init__(*args, **kwargs)
class Meta:
model = HoursByTask
fields = [
'recorded_start',
'recorded',
]
field_order = (
'recorded_start',
'recorded',
)
class RainwaterHarvestDatasetMixin(object):
recorded_start = Field(header='recorded start')
recorded = Field(header='recorded end')
roof_length = Field(header='roof length (feet)')
roof_width = Field(header='roof width (feet)')
volume = Field(header='volume (gallons)')
class Meta:
model = RainwaterHarvest
fields = [
'recorded_start',
'recorded',
'roof_length',
'roof_width',
'volume',
]
field_order = (
'recorded_start',
'recorded',
'roof_length',
'roof_width',
'volume',
)
def __init__(self, **kwargs):
units = system_weight_units(kwargs.get('measurement_system', None))
self.base_fields.update({
'weight':
Field(attribute='weight_%s' % units, header='weight (%s)' % units)
})
self._meta.fields = [
'weight',
] + self._meta.fields
if self._meta.field_order:
self._meta.field_order = ('weight', ) + self._meta.field_order
else:
self._meta.field_order = ('weight', )
super(WeightDatasetMixin, self).__init__(**kwargs)
def __init__(self, *args, **kwargs):
# Add project
self.base_fields['project'] = Field(header='project')
self._meta.field_order += ('project', )
garden = kwargs.get('gardens', [])[0]
gardeners = garden.gardener_set.all().order_by('name')
gardener_fields = []
def attrify(gardener):
"""
Get an attr string for the gardener that will work on an
HoursByProject object.
"""
return 'gardener_%d' % gardener.pk
# Add all potential gardeners
for gardener in gardeners:
field_name = attrify(gardener)
self.base_fields[field_name] = Field(header=gardener.name)
gardener_fields.append(field_name)
self._meta.field_order += tuple(gardener_fields)
super(HoursByProjectDataset, self).__init__(*args, **kwargs)
def __init__(self, filters=None, **kwargs):
# Save filters for later
self.filters = filters
# Update available base fields
# XXX Not really anonymized here, garden_pk needs obfuscation before
# being exported (eg, in the view)
self.base_fields.update(
{'garden_pk': Field(attribute='garden_pk', header='garden')})
self.base_fields.update({
'garden_state':
Field(attribute='garden_state', header='garden state')
})
self.base_fields.update({
'garden_zip':
Field(attribute='garden_zip', header='garden zip code')
})
self.base_fields.update({
'garden_name':
Field(attribute='garden_public_name', header='garden name')
})
self.base_fields.update({
'garden_latitude':
Field(attribute='garden_public_latitude', header='garden latitude')
})
self.base_fields.update({
'garden_longitude':
Field(attribute='garden_public_longitude',
header='garden longitude')
})
# Update fields to be exported
self._meta.fields = [
'recorded',
'garden_pk',
'garden_state',
'garden_zip',
'garden_name',
'garden_latitude',
'garden_longitude',
] + self._meta.fields
self._meta.field_order += (
'recorded',
'garden_pk',
'garden_state',
'garden_zip',
'garden_name',
'garden_latitude',
'garden_longitude',
)
super(PublicMetricDatasetMixin, self).__init__()
def __init__(self, gardens=None, start=None, end=None, **kwargs):
self.gardens = gardens
self.start = start
self.end = end
self._meta.fields = ['recorded', 'added_by_display',] + self._meta.fields
if self._meta.field_order:
self._meta.field_order = ('recorded', 'added_by_display',) + self._meta.field_order
else:
self._meta.field_order = ('recorded', 'added_by_display',)
if 'garden' in self._meta.fields:
self._meta.field_order = ('garden',) + self._meta.field_order
self.base_fields.update({
'added_by_display': Field(attribute='added_by_display', header='added by')
})
super(MetricDatasetMixin, self).__init__()
class DonationDatasetMixin(object):
produce_name = Field(header='produce name')
def __init__(self, **kwargs):
units = system_weight_units(kwargs.get('measurement_system', None))
self.base_fields.update({
'weight':
Field(attribute='weight_%s' % units, header='weight (%s)' % units)
})
self._meta.fields = [
'weight',
] + self._meta.fields
if self._meta.field_order:
self._meta.field_order = ('weight', ) + self._meta.field_order
else:
self._meta.field_order = ('weight', )
super(DonationDatasetMixin, self).__init__(**kwargs)
class Meta:
model = Donation
def __init__(self, *args, **kwargs):
included = [field.name for field in self.model._meta.fields]
if self._meta.fields:
included = filter(lambda x: x in self._meta.fields, included)
if self._meta.exclude:
included = filter(lambda x: x not in self._meta.exclude, included)
self.fields = {field: Field() for field in included}
self.fields.update(deepcopy(self.base_fields))
fields = [
field.attribute or name for name, field in self.fields.items()
]
header_dict = {
field.header or name: field.attribute or name
for name, field in self.fields.items()
}
header_list = header_dict.keys()
self.attr_list = fields
self.header_dict = header_dict
self.header_list = header_list
super(ModelDataset, self).__init__(*args, **kwargs)
class CropcountDatasetMixin(object):
recorded = Field(header='recorded')
box = Field(header='bed')
crop = Field(header='crop')
crop_variety = Field(header='crop variety')
quantity = Field(header='quantity')
units = Field(header='units')
def __init__(self, *args, **kwargs):
units = system_distance_units(kwargs.get('measurement_system', None))
# Add bed dimensions
self.base_fields.update({
'bed_length': Field(attribute='bed_length_%s' % units,
header='bed length (%s)' % units),
'bed_width': Field(attribute='bed_width_%s' % units,
header='bed width (%s)' % units)
})
self._meta.field_order += ('bed_width', 'bed_length',)
super(CropcountDatasetMixin, self).__init__(*args, **kwargs)
class Meta:
model = Patch
fields = [
'recorded',
'box',
'crop',
'crop_variety',
'quantity',
'units',
]
field_order = (
'recorded',
'box',
'crop',
'crop_variety',
'quantity',
'units',
)
class SmartsAndSkillsDatasetMixin(object):
participants = Field(header='number of participants')
skills_shared = Field(header='# of skills shared')
skills_shared_examples = Field(header='examples of skills shared')
concepts_shared = Field(header='# of concepts shared')
concepts_shared_examples = Field(header='examples of concepts shared')
projects_proposed = Field(header='# of projects proposed')
projects_proposed_examples = Field(header='examples of projects proposed')
ideas_to_learn = Field(header='# of ideas to learn')
ideas_to_learn_examples = Field(header='examples of ideas to learn')
intentions_to_collaborate = Field(header='# of intentions to collaborate')
intentions_to_collaborate_examples = Field(
header='examples of intentions to collaborate')
class Meta:
model = SmartsAndSkills
fields = [
'recorded',
'added_by_display',
'participants',
'skills_shared',
'skills_shared_examples',
'concepts_shared',
'concepts_shared_examples',
'projects_proposed',
'projects_proposed_examples',
'ideas_to_learn',
'ideas_to_learn_examples',
'intentions_to_collaborate',
'intentions_to_collaborate_examples',
]
def __init__(self, *args, **kwargs):
# Add name
self.base_fields['name'] = Field(header='name')
self._meta.field_order += ('name', )
super(ProgramReachDataset, self).__init__(*args, **kwargs)
class ProgramReachDatasetMixin(object):
recorded_start = Field(header='recorded start')
recorded = Field(header='recorded end')
hours_each_day = Field(header='hours each day')
collaborated_with_organization = Field(
header='collaborated with organization')
collaboration_first = Field(header='first collaboration with organization')
age_10 = Field(header='# under 10')
age_10_14 = Field(header='# 10 to 14')
age_15_19 = Field(header='# 15 to 19')
age_20_24 = Field(header='# 20 to 24')
age_25_34 = Field(header='# 25 to 34')
age_35_44 = Field(header='# 35 to 44')
age_45_54 = Field(header='# 45 to 54')
age_55_64 = Field(header='# 55 to 64')
age_65 = Field(header='# 65 and older')
gender_male = Field(header='# male')
gender_female = Field(header='# female')
gender_other = Field(header='# other gender')
zipcode_inside = Field(header='# within garden zipcode')
zipcode_outside = Field(header='# outside garden zipcode')
other_features = Field(header='other features')
def __init__(self, *args, **kwargs):
# Add features_display
self.base_fields['features_display'] = Field(header='features')
self._meta.field_order += ('features_display', )
super(ProgramReachDatasetMixin, self).__init__(*args, **kwargs)
class Meta:
model = ProgramReach
fields = [
'recorded_start',
'recorded',
'hours_each_day',
'collaborated_with_organization',
'collaboration_first',
'age_10',
'age_10_14',
'age_15_19',
'age_20_24',
'age_25_34',
'age_35_44',
'age_45_54',
'age_55_64',
'age_65',
'gender_male',
'gender_female',
'gender_other',
'zipcode_inside',
'zipcode_outside',
'other_features',
]
field_order = (
'recorded_start',
'recorded',
'hours_each_day',
'collaborated_with_organization',
'collaboration_first',
'age_10',
'age_10_14',
'age_15_19',
'age_20_24',
'age_25_34',
'age_35_44',
'age_45_54',
'age_55_64',
'age_65',
'gender_male',
'gender_female',
'gender_other',
'zipcode_inside',
'zipcode_outside',
'other_features',
)
def __init__(self, *args, **kwargs):
# Add features_display
self.base_fields['features_display'] = Field(header='features')
self._meta.field_order += ('features_display', )
super(ProgramReachDatasetMixin, self).__init__(*args, **kwargs)
def __init__(self, *args, **kwargs):
# Add total_hours
self.base_fields['total_hours'] = Field(header='total hours')
self._meta.field_order += ('total_hours', )
super(PublicHoursByProjectDataset, self).__init__(*args, **kwargs)
class GardenDataset(dataset_cls):
garden = Field(header='garden')
def __init__(self, *args, **kwargs):
self._meta.fields = ['garden',] + super(GardenDataset, self)._meta.fields
# garden will be made first in MetricDatasetMixin
super(GardenDataset, self).__init__(*args, **kwargs)
class TestModelDataset(ModelDataset):
field1 = Field(header='Field 1')
field2 = Field(attribute='field1')
class Meta:
model = TestModel