cube-studio/myapp/views/view_dataset.py

199 lines
8.3 KiB
Python

from flask_appbuilder.models.sqla.interface import SQLAInterface
from flask_babel import lazy_gettext as _
from wtforms.validators import DataRequired
from myapp import app, appbuilder
from wtforms import StringField, SelectField
from flask_appbuilder.fieldwidgets import BS3TextFieldWidget, Select2Widget
from myapp.forms import MyBS3TextAreaFieldWidget,MySelect2Widget
from .baseApi import MyappModelRestApi
from flask import g
from myapp.models.model_dataset import Dataset
conf = app.config
logging = app.logger
class Dataset_ModelView_base():
label_title='数据集'
datamodel = SQLAInterface(Dataset)
base_permissions = ['can_add','can_show','can_edit','can_list','can_delete']
base_order = ("id", "desc")
order_columns=['id']
add_columns = ['name','label','describe','source_type','source','industry','field','usage','research','storage_class','file_type','years','url','download_url','path','storage_size','entries_num','duration','price','status','icon','owner']
show_columns = ['id','name','label','describe','source_type','source','industry','field','usage','research','storage_class','file_type','status','years','url','path','download_url','storage_size','entries_num','duration','price','status','icon','owner']
search_columns=['name','label','describe','source_type','source','industry','field','usage','research','storage_class','file_type','status','years','url','path','download_url']
spec_label_columns = {
"source_type":"来源类型",
"source":"数据来源",
"usage":"数据用途",
"research":"研究方向",
"storage_class":"存储类型",
"file_type":"文件类型",
"years":"数据年份",
"url":"相关网址",
"url_html": "相关网址",
"download_url":"下载地址",
"download_url_html": "下载地址",
"path":"本地路径",
"entries_num":"条目数量",
"duration":"文件时长",
"price": "价格",
"icon": "示例图",
"icon_html":"示例图",
}
edit_columns = add_columns
list_columns = ['icon_html','name','label','describe','source_type','source','status','industry','field','url_html','download_url_html','usage','research','storage_class','file_type','years','path','storage_size','entries_num','duration','price','owner']
cols_width = {
"name": {"type": "ellip1", "width": 200},
"label": {"type": "ellip2", "width": 250},
"describe":{"type": "ellip2", "width": 300},
"field":{"type": "ellip1", "width": 100},
"source_type":{"type": "ellip1", "width": 100},
"source": {"type": "ellip1", "width": 100},
"industry": {"type": "ellip1", "width": 100},
"url_html": {"type": "ellip1", "width": 200},
"download_url_html": {"type": "ellip1", "width": 200},
"path":{"type": "ellip2", "width": 200},
"storage_class": {"type": "ellip1", "width": 100},
"storage_size":{"type": "ellip1", "width": 100},
"file_type":{"type": "ellip1", "width": 100},
"owner": {"type": "ellip1", "width": 200},
"status": {"type": "ellip1", "width": 100},
"entries_num": {"type": "ellip1", "width": 100},
"duration": {"type": "ellip1", "width": 100},
"price": {"type": "ellip1", "width": 100},
"years": {"type": "ellip2", "width": 100},
"usage": {"type": "ellip1", "width": 200},
"research": {"type": "ellip2", "width": 100},
"icon_html": {"type": "ellip1", "width": 100},
}
add_form_extra_fields = {
"name": StringField(
label=_(datamodel.obj.lab('name')),
description='数据集英文名',
default='',
widget=BS3TextFieldWidget(),
validators=[DataRequired()]
),
"label": StringField(
label=_(datamodel.obj.lab('label')),
default='',
description='数据集中文名',
widget=BS3TextFieldWidget(),
validators=[DataRequired()]
),
"describe": StringField(
label=_(datamodel.obj.lab('describe')),
default='',
description='数据集描述',
widget=MyBS3TextAreaFieldWidget(),
validators=[DataRequired()]
),
"industry": SelectField(
label=_(datamodel.obj.lab('industry')),
description='行业分类',
widget=MySelect2Widget(can_input=True),
default='',
choices=[[x,x] for x in ['农业','生物学','气候+天气','复杂网络','计算机网络','网络安全','数据挑战','地球科学','经济学','教育','能源','娱乐','金融','GIS','政府','医疗','图像处理','机器学习','博物馆','自然语言','神经科学','物理','前列腺癌','心理学+认知','公共领域','搜索引擎','社交网络','社会科学','软件','运动','时间序列','交通','电子竞技']],
validators=[DataRequired()]
),
"field":SelectField(
label=_(datamodel.obj.lab('field')),
description='领域',
widget=MySelect2Widget(can_input=True),
choices=[[x,x] for x in ['视觉',"音频","自然语言","风控","搜索",'推荐']],
validators=[]
),
"source_type": SelectField(
label=_(datamodel.obj.lab('source_type')),
description='来源分类',
widget=Select2Widget(),
default='开源',
choices=[[x,x] for x in ["开源", "自产","购买"]],
validators=[]
),
"source": SelectField(
label=_(datamodel.obj.lab('source')),
description='数据来源',
widget=MySelect2Widget(can_input=True),
choices=[[x, x] for x in ['github',"kaggle", "天池",'UCI','AWS 公开数据集','Google 公开数据集', "采购公司1", "标注团队1", "政府网站1"]],
validators=[]
),
"file_type": SelectField(
label=_(datamodel.obj.lab('file_type')),
description='文件类型',
widget=MySelect2Widget(can_input=True),
choices=[[x, x] for x in ["png", "jpg",'txt','csv','wav','mp3','mp4','nv4','zip','gz']],
),
"storage_class": SelectField(
label=_(datamodel.obj.lab('storage_class')),
description='存储类型',
widget=MySelect2Widget(can_input=True),
choices=[[x, x] for x in ["压缩", "未压缩"]],
),
"storage_size": StringField(
label=_(datamodel.obj.lab('storage_size')),
description='存储大小',
widget=BS3TextFieldWidget(),
),
"owner": StringField(
label=_(datamodel.obj.lab('owner')),
default='',
description='责任人,逗号分隔的多个用户',
widget=BS3TextFieldWidget(),
),
"status": SelectField(
label=_(datamodel.obj.lab('status')),
description='数据集状态',
widget=MySelect2Widget(can_input=True),
choices=[[x, x] for x in ["损坏", "正常",'未购买','已购买','未标注','已标注','未校验','已校验']],
),
"url": StringField(
label=_(datamodel.obj.lab('url')),
description='相关网址',
widget=MyBS3TextAreaFieldWidget(rows=3),
default=''
),
"path": StringField(
label=_(datamodel.obj.lab('path')),
description='本地路径',
widget=MyBS3TextAreaFieldWidget(rows=3),
default=''
),
"download_url": StringField(
label=_(datamodel.obj.lab('download_url')),
description='下载地址',
widget=MyBS3TextAreaFieldWidget(rows=3),
default=''
)
}
edit_form_extra_fields = add_form_extra_fields
import_data=True
download_data=True
def pre_add(self,item):
if not item.owner:
item.owner=g.user.username
# def post_list(self,items):
# flash(Markup('可批量删除不使用的数据集,可批量上传自产数据集'),category='info')
# return items
class Dataset_ModelView_Api(Dataset_ModelView_base,MyappModelRestApi):
datamodel = SQLAInterface(Dataset)
route_base = '/dataset_modelview/api'
appbuilder.add_api(Dataset_ModelView_Api)