案例研究：生成报告仓库

Python 中的 AWS Boto 入门

Maksim Pecherskiy

Data Engineer

最终成果

步骤

准备数据

从原始数据桶下载当月文件
合并为一个 CSV
创建聚合 DataFrame

步骤

创建报告

将 DataFrame 写出为 CSV 与 HTML
生成 Bokeh 图并保存为 HTML

步骤

上传报告至可分享网站

创建 gid-reports 桶
将当月三个文件全部上传至 S3
生成列出所有文件的 index.html
获取网站 URL！

原始数据桶

私有文件
来自应用的每日请求 CSV
原始数据

Gid 请求桶

读取原始数据文件

# Create list to hold our DataFrames
df_list = []


# Request the list of csv's from S3 with prefix; Get contents
response = s3.list_objects(
  Bucket='gid-requests', 
  Prefix='2019_jan')


# Get response contents
request_files = response['Contents']

读取原始数据文件

# Iterate over each object
for file in request_files:
    obj = s3.get_object(Bucket='gid-requests', Key=file['Key'])


    # Read it as DataFrame
    obj_df = pd.read_csv(obj['Body'])


    # Append DataFrame to list
    df_list.append(obj_df)

读取原始数据文件

# Concatenate all the DataFrames in the list
df = pd.concat(df_list)


# Preview the DataFrame
df.head()

DataFrame 预览

创建聚合报告

执行聚合
df.to_csv('jan_final_report.csv')
df.to_html('jan_final_report.html')
jan_final_chart.html

聚合后的报告

报告桶

桶网站
公开可访问
聚合数据与 HTML 报告

报告桶

上传聚合 CSV

# Upload Aggregated CSV to S3
s3.upload_file(Filename='./jan_final_report.csv', 
                      Key='2019/jan/final_report.csv', 
                      Bucket='gid-reports',
                      ExtraArgs = {'ACL': 'public-read'})

上传 HTML 表格

# Upload HTML table to S3
s3.upload_file(Filename='./jan_final_report.html', 
                      Key='2019/jan/final_report.html', 
                      Bucket='gid-reports',
                      ExtraArgs = {
                        'ContentType': 'text/html',
                        'ACL': 'public-read'})

上传 HTML 图表

# Upload Aggregated Chart to S3
s3.upload_file(Filename='./jan_final_chart.html', 
                      Key='2019/jan/final_chart.html', 
                      Bucket='gid-reports',
                      ExtraArgs = {
                        'ContentType': 'text/html',
                        'ACL': 'public-read'})

已上传的报告

创建 index.html

# List the gid-reports bucket objects starting with 2019/
r = s3.list_objects(Bucket='gid-reports', Prefix='2019/')


# Convert the response contents to DataFrame
objects_df = pd.DataFrame(r['Contents'])


# Create a column "Link" that contains website url + key
base_url = "https://gid-reports."
objects_df['Link'] = base_url + objects_df['Key']

创建 index.html

# Write DataFrame to html
objects_df.to_html('report_listing.html', 
                   columns=['Link', 'LastModified', 'Size'],
                   render_links=True)

写入 HTML 的数据框

上传 index.html

# Upload the file to gid-reports bucket root.
s3.upload_file(
  Filename='./report_listing.html', 
  Key='index.html', 
  Bucket='gid-reports',
  ExtraArgs = {
    'ContentType': 'text/html', 
    'ACL': 'public-read'
  })

获取 index 的 URL！

桶网站 URL *


"http://gid-reports.index.html"

来微调一下！

Python 中的 AWS Boto 入门