feat: composing library

[juleswg23]

WIP

This is a small example that should replicate the blastula demo.

import numpy as np
import pandas as pd
from plotnine import ggplot, aes, geom_boxplot
from nbmail.compose import (
    md,
    compose_email,
    block_plot,
    block_text,
    block_image,
    create_blocks,
)
from datetime import date

variety = np.repeat(["A", "B", "C", "D", "E", "F", "G"], 40)
treatment = np.tile(np.repeat(["high", "low"], 20), 7)
note = np.arange(1, 281) + np.random.choice(np.arange(1, 151), 280, replace=True)
data = pd.DataFrame({"variety": variety, "treatment": treatment, "note": note})

gg = ggplot(data, aes(x="variety", y="note", fill="treatment")) + geom_boxplot()

sender_name = "Jules"

intro_text = md("""
Hello,

I just wanted to let you know that the *plotnine* plot you wanted to see 
is right here, in this email:
""")

closing_text = block_text(
    f"""
Cheers,

{sender_name}
"""
)

email_body = create_blocks(
    intro_text,
    block_plot(gg, alt="Boxplot", width=600),
    block_image("newspapers.jpg", alt="Newspapers", width=600),
    closing_text,
)

email_with_plot = compose_email(body=email_body, footer=f"Sent on {date.today()}")
email_with_plot.subject = "Here's your boxplot"
email_with_plot

See it in the browser

email_with_plot.show_browser()

Or send it

from dotenv import load_dotenv
import os
from nbmail import send_email_with_gmail

load_dotenv()
username = os.getenv("POSIT_ADDRESS")
password = os.getenv("POSIT_APP_PASSWORD")

email_with_plot.recipients = [username]

send_email_with_gmail(username=username, password=password,i_email=email_with_plot,)

closes #19

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