captivus

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

captivus

requirements:
  host:
    - pip
    - python >=3.6
  run:
    - python >=3.6
    - requests >=2.20.0
    - six >=1.10.0

captivus

{% set name = "spotipy" %}
{% set version = "2.16.1" %}

package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spotipy-{{ version }}.tar.gz
  sha256: 4564a6b05959deb82acc96a3fe6883db1ad9f8c73b7ff3b9f1f44db43feba0b8

captivus

{% set name = "spotipy" %}
{% set version = "2.16.1" %}


package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spotipy-{{ version }}.tar.gz

captivus

# Note: there are many handy hints in comments in this example -- remove them when you've finalized your recipe

# Jinja variables help maintain the recipe as you'll update the version only here.
# Using the name variable with the URL in line 14 is convenient
# when copying and pasting from another recipe, but not really needed.
{% set name = "simplejson" %}
{% set version = "3.8.2" %}

package:
  name: {{ name|lower }}

captivus

import requests
from bs4 import BeautifulSoup

# open Audible Matchmaker page locally
# (see accompanying Jupyter notebook for details)
infile = open(file='audible_matchmaker.html', mode='r')

# parse the page with BeautifulSoup
soup = BeautifulSoup(markup=infile, features='html.parser')

captivus

# find all of the spans containing the audiobook price 
# (see accompanying Jupyter notebook for details)
upgrade_prices = soup.findAll(name='span', attrs={'class' : 'a-size-base a-color-price a-text-bold'})

# iterate over each of the book prices
for book in upgrade_prices:
    # convert the span price data to a string
    price_string = book.string
    # remove the dollar sign from the price string
    price_string = price_string.replace('$', '')

captivus

import requests
from bs4 import BeautifulSoup

# open Audible Matchmaker page locally
# (see accompanying Jupyter notebook for details)
infile = open(file='audible_matchmaker.html', mode='r')

# parse the page with BeautifulSoup
soup = BeautifulSoup(markup=infile, features='html.parser')