import feedparser

import time

import json

def generate_feed_data():

"""

Fetches data from FT and Bluesky RSS feeds, combines them, sorts by date,

and returns the data as a list of dictionaries.

"""

ft_url = "https://www.ft.com/chris-cook?format=rss"

bsky_url = "https://bsky.app/profile/did:plc:bgmujpqmzqtx4p3wafhq4t6c/rss"

ft_feed = feedparser.parse(ft_url)

bsky_feed = feedparser.parse(bsky_url)

all_items = []

# Process FT feed

if ft_feed.entries:

for entry in ft_feed.entries:

if hasattr(entry, 'published_parsed'):

all_items.append({

"source": "FT.com",

"title": entry.get('title', 'No Title Available'),

"link": entry.get('link'),

"date": time.strftime("%Y-%m-%dT%H:%M:%SZ", entry.published_parsed) # ISO 8601 format

})

# Process Bluesky feed

if bsky_feed.entries:

for entry in bsky_feed.entries:

if hasattr(entry, 'published_parsed'):

post_content = entry.get('description', '')

if "contains quote post or other embedded content" in post_content:

continue

all_items.append({

"source": "Bluesky",

"title": post_content,

"link": entry.get('link'),

"date": time.strftime("%Y-%m-%dT%H:%M:%SZ", entry.published_parsed) # ISO 8601 format

})

# Sort all items by date, newest first

all_items.sort(key=lambda x: x["date"], reverse=True)

return all_items

if __name__ == "__main__":

feed_data = generate_feed_data()

# Save the data to a JSON file

with open("feed.json", "w") as f:

json.dump(feed_data, f, indent=4)

print(f"Successfully generated feed.json with {len(feed_data)} items.")