Sharing files through a website

Einführung in AWS Boto mit Python

Maksim Pecherskiy

Data Engineer

Serving HTML Pages

S3 serving HTML

HTML table in Pandas

Convert DataFrame to html

df.to_html('table_agg.html')

DataFrame to HTML

HTML Table in Pandas with links

Convert DataFrame to html

df.to_html('table_agg.html', render_links=True)

DataFrame to HTML

Certain columns to HTML

Convert DataFrame to html

df.to_html('table_agg.html', 
           render_links=True,
           columns['service_name', 'request_count', 'info_link'])

DataFrame to HTML

Borders

Convert DataFrame to html

df.to_html('table_agg.html', 
           render_links=True,
           columns['service_name', 'request_count', 'info_link'],
           border=0)

DataFrame to HTML borders

Uploading an HTML file to S3

Upload an HTML file to S3

s3.upload_file(
  Filename='./table_agg.html', 
  Bucket='datacamp-website',

  Key='table.html',

  ExtraArgs = {
    'ContentType': 'text/html', 
    'ACL': 'public-read'}
)

Accessing HTML file

S3 Object URL Template

https://{bucket}.{key}

https://datacamp-website.table.html

HTML Page

HTML page

Uploading other types of content

Upload an image file to S3

s3.upload_file(
  Filename='./plot_image.png', 
  Bucket='datacamp-website',
  Key='plot_image.png',

  ExtraArgs = {
    'ContentType': 'image/png', 
    'ACL': 'public-read'}
)

IANA Media Types

JSON : application/json
PNG : image/png
PDF : application/pdf
CSV : text/csv

¹ http://www.iana.org/assignments/media-types/media-types.xhtml

Generating an index page

# 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'])

Index page

Generating an index page

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

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

Generating an index page

Uploading index page

Upload an HTML file to S3

s3.upload_file(
  Filename='./report_listing.html', 
  Bucket='datacamp-website',
  Key='index.html',
  ExtraArgs = {
    'ContentType': 'text/html', 
    'ACL': 'public-read'}
)

https://datacamp-website.index.html

Review

HTML Table in Pandas (df.to_html('table.html'))
Upload HTML file (ContentType: text/html)
Upload Image file (ContentType: image/png)
Share the URL for our html page!

Let's practice!

Einführung in AWS Boto mit Python