Skip to main content

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。

首页 默认业务

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

  1. 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。
    
  2. 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
    
  1. 初始化seed的config文件
    执行seed init
    
  2. config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
    
  3. 初始化数据库
    进行数据库初始化, 执行
    seed upgrade
    即可
    
  4. 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
    
  5. 访问
    127.0.0.1:5000 可访问系统
    

如何升级

  1. 获取到最新代码
  2. 打包seed
    进入seed项目根目录
    运行 python setup.py install
    
  3. 运行web程序
    执行 seed run web运行web系统
    
  4. 访问
    127.0.0.1:5000 可访问系统
    

开发模式

  1. 安装seed的pip运行文件到第三方库中
    python setup.py develop
    
  2. 运行seed数据
    seed init
    
  3. 设置数据库
    vim ~/.seed/seed_config.py
    
  4. 运行web
    seed 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,province

2、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 END

mysql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

Metadata

Release files for boyaa-seed 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for boyaa-seed 0.1.6
File Size Uploaded
boyaa-seed-0.1.6.tar.gz 3.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for boyaa-seed 0.1.6
File Interpreter ABI Platform
boyaa_seed-0.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 9.0 MB

Release files / boyaa-seed-0.1.6.tar.gz

Download URL boyaa-seed-0.1.6.tar.gz
Size 3.0 MB
Tags Source
SHA-256 checksum
How to use checksums
c57e5c1d8ce3dd504b3cd7a8df89c49a76e6a72d4cf85c7e5d36edeb0995b759
BLAKE2b-256 checksum
How to use checksums
3edf2e05814dce1663d0c93186adaf567cc92e95c4fd8329e83936d886b39914
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.4

Release files / boyaa_seed-0.1.6-py3-none-any.whl

Download URL boyaa_seed-0.1.6-py3-none-any.whl
Size 6.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
8ea959cd970dc5cf89aff4123413ed32b8cace457badd0d34b4057ee191f5b19
BLAKE2b-256 checksum
How to use checksums
925d4acead4e8a3f4f69c90d2f0c6ff1d2f90c91dc6fb5fd44a4a15d6a20552e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.4

Release history Release notifications | RSS feed

This release

0.1.6 This release

2 release files

0.1.4

2 release files

0.1.2

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page