因项目需求需要自动生成运行日报，想到使用Python脚本自动生成Word运行模板，接口数据访问elasticsearch获取，获取到的数据再使用pyechart生成图表展示在Word模板中。本文主要介绍python几种工具的安装部署，包括python-docx、elasticsearch和pyechart环境。
1、安装python-docx
1）官方文档
https://python-docx.readthedocs.io/en/latest/
2）下载介质并安装
#tar -xzvf python-docx-0.8.11.tar.gz #cd python-docx-0.8.11 #python setup.py install
3）测试使用
from docx import Document
from docx.shared import Inches,Cm
doc = Document()
doc.add_heading(u'测试test')
doc.add_picture("test.png",width=Inches(10))
doc.save("test.docx")
2、安装Elasticsearch接口
1）安装elasticsearch接口，能够访问elasticsearch数据
#tar -xzvf setuptools_scm-1.15.4.tar.gz #cd setuptools_scm-1.15.4 #python setup.py install #tar -xzvf pytest-runner-2.8.tar.gz #cd pytest-runner-2.8 #python setup.py install #tar -xzvf python-utils-2.3.0.tar.gz #cd python-utils-2.3.0 #python setup.py install #tar -xzvf urllib3-1.21.1.tar.gz #cd urllib3-1.21.1 #python setup.py install #pip install elasticsearch6-6.8.1-py2.py3-none-any.whl
2）直接import elasticsearch
>>> from elasticsearch6 import Elasticsearch
es = Elasticsearch(['x.x.x.x'],timeout=36000)
body1 = {"size": 10000,"query": {"match_all": {}}}
res1 = es.search(index="goods",scroll='5m', body=body1)
3、Pyechart图表工具
1）安装pyechart依赖包
# pip install backports.functools_lru_cache-1.5-py2.py3-none-any.whl # pip install wcwidth-0.2.5-py2.py3-none-any.whl # pip install prettytable-1.0.0-py2.py3-none-any.whl # pip install MarkupSafe-1.1.1-cp27-cp27mu-manylinux1_x86_64.whl # pip install Jinja2-2.10.1-py2.py3-none-any.whl # pip install lml-0.0.2-py2.py3-none-any.whl # pip install pyecharts_jupyter_installer-0.0.3-py2.py3-none-any.whl # tar -xzvf jupyter-echarts-pypkg-0.1.2.tar.gz # cd jupyter-echarts-pypkg-0.1.2 # python setup.py install # pip install Pillow-5.0.0-cp27-cp27mu-manylinux1_x86_64.whl # tar -xzvf future-0.17.0.tar.gz # cd future-0.17.0/ # python setup.py install # pip install pyecharts_javascripthon-0.0.6-py2.py3-none-any.whl # pip install pyecharts-0.5.11-py2.py3-none-any.whl
2）安装pyechart
# pip install pyecharts-0.5.11-py2.py3-none-any.whl Processing ./pyecharts-0.5.11-py2.py3-none-any.whl Requirement already satisfied: jinja2 in /usr/lib/python2.7/site-packages (from pyecharts==0.5.11) (2.10.1) Requirement already satisfied: lml==0.0.2 in /usr/lib/python2.7/site-packages (from pyecharts==0.5.11) (0.0.2) Requirement already satisfied: jupyter-echarts-pypkg==0.1.2 in /usr/lib/python2.7/site-packages (from pyecharts==0.5.11) (0.1.2) Requirement already satisfied: pillow in /usr/lib64/python2.7/site-packages (from pyecharts==0.5.11) (5.0.0) Requirement already satisfied: future in /usr/lib/python2.7/site-packages/future-0.17.0-py2.7.egg (from pyecharts==0.5.11) (0.17.0) Requirement already satisfied: pyecharts-javascripthon==0.0.6 in /usr/lib/python2.7/site-packages (from pyecharts==0.5.11) (0.0.6) Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib64/python2.7/site-packages (from jinja2->pyecharts==0.5.11) (1.1.1) Requirement already satisfied: pyecharts-jupyter-installer==0.0.3 in /usr/lib/python2.7/site-packages (from jupyter-echarts-pypkg==0.1.2->pyecharts==0.5.11) (0.0.3) Requirement already satisfied: requests; python_version < "3.5" in /usr/lib/python2.7/site-packages (from pyecharts-javascripthon==0.0.6->pyecharts==0.5.11) (2.6.0) Installing collected packages: pyecharts Successfully installed pyecharts-0.5.11
3）安装pyecharts_snapshot
# pip install snapshot_phantomjs-0.0.3-py2.py3-none-any.whl # pip install pyecharts_snapshot-0.1.10-py2.py3-none-any.whl
直接使用：
# snapshot render.html test.png No phantomjs found in your path. Please install it!
需安装phantomjs
# 直接安装包phantomjs-2.1.1-linux-x86_64 # ln -s /home/trace/checktable/package/pyechart/phantomjs-2.1.1-linux-x86_64/bin/phantomjs /usr/local/bin # phantomjs phantomjs>
4）测试使用
旧版本调用如下：
from pyecharts import Bar
>>> from pyecharts import Bar
>>>
>>> bar=Bar("我的第一个图表","这里是副标题")
>>> bar.add("服装",["衬衫","羊毛衫","裤子"],[5,20,36])
>>>
>>> bar.render()
生成的是html格式文件
新版本调用如下：
from pyecharts.charts import Bar >>> bar = Bar() >>> bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])>>> bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90]) >>> bar.render("mycharts.html") 'C:\Python36\mycharts.html' # render 会生成本地 HTML 文件，默认会在当前目录生成 render.html 文件 # 也可以传入路径参数，如 >>> bar.render() 'C:\Python36\render.html' >>>
生成的是html格式文件，如果保存为png格式
>>> bar.render(path="test.png") phantomjs version: 2.1.1 Generating file ... File saved in /home/trace/test.png
参考资料
- https://blog.csdn.net/yuetaope/article/details/119444970
- https://www.cnblogs.com/hustcser/p/8831176.html
转载请注明原文地址：https://blog.csdn.net/solihawk/article/details/125232071
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