122 lines
3.9 KiB
Python
122 lines
3.9 KiB
Python
import praw
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import orjson
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from datetime import datetime
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import os
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from dotenv import load_dotenv
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import time
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load_dotenv()
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client_key = os.getenv('REDDIT_API_KEY')
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client_secret = os.getenv('REDDIT_API_SECRET')
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user_agent = os.getenv('REDDIT_USER_AGENT')
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# File path for the JSON data
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file_path = 'json/reddit-tracker/wallstreetbets/data.json'
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# Ensure the directory exists
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os.makedirs(os.path.dirname(file_path), exist_ok=True)
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# Function to load existing data
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def load_existing_data():
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if os.path.exists(file_path):
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with open(file_path, 'r', encoding='utf-8') as file:
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return orjson.loads(file.read())
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return []
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# Function to save data
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def save_data(data):
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with open(file_path, 'w', encoding='utf-8') as f:
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file.write(orjson.dumps(data, f, ensure_ascii=False, indent=4).decode("utf-8"))
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# Initialize Reddit instance
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reddit = praw.Reddit(
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client_id=client_key,
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client_secret=client_secret,
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user_agent=user_agent
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)
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# Load existing data
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existing_data = load_existing_data()
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existing_data = [
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{**item, 'upvote_ratio': round(item['upvote_ratio'] * 100,2) if item['upvote_ratio'] < 1 else item['upvote_ratio']}
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for item in existing_data
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if item['num_comments'] >= 50
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]
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# Create a dictionary of existing posts for faster lookup and update
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existing_posts = {post['id']: post for post in existing_data}
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# Flag to check if any data was added or updated
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data_changed = False
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# Get the subreddit
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subreddit = reddit.subreddit("wallstreetbets")
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# Iterate through new submissions
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for submission in subreddit.hot(limit=1000):
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post_id = submission.id
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# Check if the post was deleted by moderators
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if submission.removed_by_category == "mod":
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# Remove post from existing data if it was deleted by moderators
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if post_id in existing_posts:
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del existing_posts[post_id]
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data_changed = True
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print('deleted')
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continue # Skip this post
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if submission.num_comments < 50:
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# Remove post from existing data if it was deleted by moderators
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if post_id in existing_posts:
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del existing_posts[post_id]
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data_changed = True
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print('deleted')
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continue # Skip this post
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# Check if this post is already in our data
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if post_id in existing_posts:
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# Update existing post
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existing_posts[post_id]['upvote_ratio'] = round(submission.upvote_ratio * 100, 2)
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existing_posts[post_id]['num_comments'] = submission.num_comments
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data_changed = True
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else:
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if submission.num_comments < 50:
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continue # Skip this post
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# Try to get a high-quality thumbnail URL
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thumbnail = None
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if hasattr(submission, 'preview'):
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thumbnail = submission.preview['images'][0]['source']['url']
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# Extract the required fields for new post
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extracted_post = {
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"id": post_id,
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"permalink": submission.permalink,
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"title": submission.title,
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"thumbnail": thumbnail,
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"selftext": submission.selftext,
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"created_utc": int(submission.created_utc),
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"upvote_ratio": round(submission.upvote_ratio * 100, 2),
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"num_comments": submission.num_comments,
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"link_flair_text": submission.link_flair_text,
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"author": str(submission.author),
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}
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# Add the new post to the existing data
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existing_posts[post_id] = extracted_post
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data_changed = True
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if data_changed:
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# Convert the dictionary back to a list and sort by created_utc
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updated_data = list(existing_posts.values())
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updated_data.sort(key=lambda x: x['created_utc'], reverse=True)
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# Save the updated data
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save_data(updated_data)
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print(f"Data updated and saved to {file_path}")
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else:
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print("No new data to add or update.")
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