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from datetime import datetime

from datetime import timedelta

from datetime import timezone

import pandas as pd

from tidy_conf import load_conferences

# Filter conferences where CFP closes within the next 10 days

def filter_conferences(df, days=10):

now = datetime.now(tz=timezone(timedelta(hours=2))).date()

deadline_threshold = now + timedelta(days=days)

df["cfp"] = df["cfp_ext"].where(df["cfp_ext"].notna(), df["cfp"])

# Convert 'cfp' to datetime, errors='coerce' will handle 'TBA' and invalid dates

df["cfp"] = pd.to_datetime(df["cfp"], errors="coerce").dt.date

# Filter the DataFrame

filtered_df = df[((df["cfp"] >= now) & (df["cfp"] <= deadline_threshold))]

print(filtered_df)

return filtered_df

# Create a markdown link for each conference

def create_markdown_links(df):

base_url = "https://pythondeadlin.es/conference/"

markdown_links = []

for _, conf in df.iterrows():

# Replace spaces with hyphens and convert to lowercase for URL

conf_name_slug = conf["conference"].lower().replace(" ", "-")

url = f"{base_url}{conf_name_slug}-{conf['year']}/"

markdown_link = f"[{conf['conference']}]({url})"

markdown_links.append(markdown_link)

return markdown_links

# Main function

def main(days=15):

df = load_conferences()

upcoming_cfp_conferences = filter_conferences(df, days)

markdown_links = create_markdown_links(upcoming_cfp_conferences)

print(f"Conferences with CFP closing within the next {days} days:")

for link in markdown_links:

print(link)

print("\n\n", ", ".join(markdown_links))

if __name__ == "__main__":

import argparse

parser = argparse.ArgumentParser(description="Print upcoming conferences with CFP closing within the next 10 days")

parser.add_argument("--days", type=int, default=15, help="Number of days to look ahead for CFP closing")

args = parser.parse_args()

main(args.days)