Package: boyaa-seed
项目概述Seed自助数据展示系统只是一款简易的BI系统，它方便快捷，可以通过简易的拖拽并配置报表，使只会SQL的统计人员都能快速搭建出属于自己的数据可视化报表。测试网址http://seed.boyaa.com测试账号: admin 密码: admin123系统操作手册如何操作Seed自助数据展示系统如何安装需要环境系统环境: Linux, Mac和Windows
运行环境: Python3.5+
其他软件: Redis, MySQL(Postgresql)

注: 数据库一定要使用空库。安装pip安装pip install boyaa-seed编译安装获取代码 git clone git@github.com:BoyaaDataCenter/seed.git
进入文件夹 cd seed
编译代码 python setup.py install初始化seed的config文件执行seed initconfig文件设置打开用户根目录下的.seed/seed_conf.py文件
进行数据库等相关的配置
如: vim ~/.seed/seed_conf.py初始化数据库进行数据库初始化, 执行
seed upgrade
即可运行web程序执行 seed run web运行web系统
注:因uwsgi模块不支持Windows,故只能以开发模式运行:seed run web --debug=True访问127.0.0.1:5000 可访问系统如何升级获取到最新代码打包seed进入seed项目根目录
运行 python setup.py install运行web程序执行 seed run web运行web系统访问127.0.0.1:5000 可访问系统开发模式安装seed的pip运行文件到第三方库中python setup.py develop运行seed数据seed init设置数据库vim ~/.seed/seed_config.py运行webseed run web --debug=True图形说明1、桑基图使用规范桑基图源数据需可以将数据按照以下形式组合:selet source, target, value  from table
union all
selet source, target, value from table(上面一条sql的target需要和下一条sql的source相同,否则就不能形成桑基图形式
source, target 这两个字段别名已固定)数据示例说明(以mysql为例):CREATE TABLE `sankey_testdata` (
  `state` varchar(20) ,
  `address` varchar(20) ,
  `province` varchar(20) ,
  `value` int
) ENGINE=innodb  DEFAULT CHARSET=utf8;insert into sankey_testdata values
('东部地区',  '东三省',  '黑龙江',246),
('东部地区',  '东三省',  '吉林', 319),
('东部地区',  '东三省',  '辽宁', 871),
('东部地区',  '华南',     '广东', 323),
('东部地区',  '华南',     '广西', 250),
('东部地区',  '华南',     '海南', 431),
('东部地区',  '华南',     '福建', 236),
('东部地区',  '华南',     '香港', 334),
('东部地区',  '华南',     '澳门', 544),
('东部地区',  '华南',     '台湾', 915),
('东部地区',  '环渤海',  '北京', 687),
('东部地区',  '环渤海',  '天津', 340),
('东部地区',  '环渤海',  '内蒙古',234),
('东部地区',  '环渤海',  '河北', 282),
('东部地区',  '环渤海',  '山东', 102),
('东部地区',  '长三角',  '上海', 201),
('东部地区',  '长三角',  '江苏', 717),
('东部地区',  '长三角',  '浙江', 669),
('西部地区',  '西北',     '青海', 335),
('西部地区',  '西北',     '甘肃', 357),
('西部地区',  '西北',     '宁夏', 456),
('西部地区',  '西北',     '山西', 119),
('西部地区',  '西北',     '新疆', 984),
('西部地区',  '西南',     '云南', 611);桑基图查询SQL示例:SELECT
  state as source,
  address as target,
  sum(value) as value
FROM sankey_testdata
GROUP BY state,address
union all
SELECT
  address as source,
  province as target ,
  sum(value) as value
FROM sankey_testdata
GROUP BY address,province2、地图使用规范地图源数据至少需要以下字段经度
纬度
区域名称
区域id
区域上级id
区域级别id(注:区域级别需按以下分类,否则可能导致数据显示混乱)
   1-国家
   2-省份
   3-地市
   4-区县/乡镇(街道)
   7-社区
   8-具体位置数据示例说明(以mysql为例):CREATE TABLE `map_testdata` (
  `fdate` date,
  `fid` int comment '区域id',
  `region_name` varchar(100) comment '区域名称',
  `fpid` int comment '区域上级id',
  `region_id` int comment '区域级别id',
  `value1` int,
  `value2` int,
  `value3` int,
  `lat` varchar(100) comment '经度',
  `lng` varchar(100) comment '纬度'
) ENGINE=innodb  DEFAULT CHARSET=utf8;insert into map_testdata values
('2019-05-08',1,'中国',0,1,25000,10000,20000,'37.550339','104.114129'),
('2019-05-08',107712,'广东省',1,2,5000,3000,1000,'23.408003729025','113.39481755876'),
('2019-05-08',112083,'深圳市',107712,3,3000,1000,1500,'22.546053546205','114.02597365732'),
('2019-05-08',112313,'南山区',112083,4,2000,300,200,'22.558887751083','113.95072266574'),
('2019-05-08',null,null,'112313',7,2,2,2,'22.5557455','114.026432'),
('2019-05-08',null,null,'112313',7,40,40,40,'22.5658103','114.0948389'),
('2019-05-08',null,null,'112313',7,166,166,166,'22.53615273','114.1144042'),
('2019-05-08',null,null,'112313',7,80,80,80,'22.5232017','114.0353637'),
('2019-05-08',null,null,'112313',7,14,14,14,'22.53781229','114.1248561'),
('2019-05-08',null,null,'112313',7,1,1,1,'22.578339','114.140053'),
('2019-05-08',null,null,'112313',7,1,1,1,'22.52957','114.200043'),
('2019-05-08',null,null,'112313',7,33,33,33,'22.60465685','114.1245172'),
('2019-05-08',null,null,'112313',7,154,154,154,'22.5465231','114.0245698'),
('2019-05-08',null,null,'112313',7,1,1,1,'22.530012','114.199852'),
('2019-05-08',null,null,'112313',7,12,12,12,'22.6010765','113.8757611'),
('2019-05-08',null,null,'112313',7,5,5,5,'22.5274626','114.195732'),
('2019-05-08',null,null,'112313',7,3,3,3,'22.58916333','113.9847973'),
('2019-05-08',null,null,'112313',7,2,2,2,'22.510313','114.146149'),
('2019-05-08',null,null,'112313',7,52,52,52,'22.56592831','114.1653427'),
('2019-05-08',null,null,'112313',7,6,6,6,'22.5230185','113.8840307'),
('2019-05-08',null,null,'112313',7,8,8,8,'22.55479675','113.876808'),
('2019-05-08',null,null,'112313',7,2,2,2,'22.527546','114.1382295'),
('2019-05-08',null,null,'112313',7,20,20,20,'22.60403745','113.8813462'),
('2019-05-08',null,null,'112313',7,3,3,3,'22.53090833','114.0340117'),
('2019-05-08',null,null,'112313',7,24,24,24,'22.52259221','114.1844415'),
('2019-05-08',null,null,'112313',7,6,6,6,'22.56845417','113.8482768'),
('2019-05-08',null,null,'112313',7,15,15,15,'22.50921313','114.1460804'),
('2019-05-08',null,null,'112313',7,1,1,1,'22.52459','113.873619'),
('2019-05-08',null,null,'112313',7,54,54,54,'22.51644502','113.9074763'),
('2019-05-08',null,null,'112313',7,110,120,135,'22.54528264','113.9450687');地图查询SQL示例:以下SQL中的{}表示变量,使用地图时
region_id,slat,elat,slng,elng,fpid均为必须参数postgresql写法:SELECT
   a.region_name,
   a.fid as fpid,
   a.lat,
   a.lng,
   a.value1,
   a.value2,
   a.value3
from  map_testdata a
WHERE region_id = {region_id}
  AND cast(lat AS decimal(20, 10)) > {slat}
  AND cast(lat AS decimal(20, 10))< {elat}
  AND cast(lng AS decimal(20, 10)) > {slng}
  AND cast(lng AS decimal(20, 10))< {elng}
  AND CASE cast( {fpid} AS bool ) WHEN TRUE THEN fpid={fpid} ELSE 1=1 ENDmysql写法:SELECT
   a.region_name,
   a.fid as fpid,
   a.lat,
   a.lng,
   a.value1,
   a.value2,
   a.value3
from  map_testdata a
WHERE region_id = {region_id}
  AND cast(lat AS decimal(20, 10)) > {slat}
  AND cast(lat AS decimal(20, 10))< {elat}
  AND cast(lng AS decimal(20, 10)) > {slng}
  AND cast(lng AS decimal(20, 10))< {elng}
  AND CASE {fpid}=true WHEN TRUE THEN fpid={fpid} ELSE 1=1 END