update reddit statistics

app/cron_reddit_statistics.py

@@ -2,18 +2,34 @@
 import re
 import requests
 import praw
-from datetime import datetime
+from datetime import datetime, timedelta
 from collections import defaultdict
-
 import os
 from dotenv import load_dotenv
+import sqlite3
+
+con = sqlite3.connect('stocks.db')
+
+cursor = con.cursor()
+cursor.execute("PRAGMA journal_mode = wal")
+cursor.execute("SELECT DISTINCT symbol FROM stocks")
+stock_symbols = [row[0] for row in cursor.fetchall()]
+
+etf_con = sqlite3.connect('etf.db')
+etf_cursor = etf_con.cursor()
+etf_cursor.execute("PRAGMA journal_mode = wal")
+etf_cursor.execute("SELECT DISTINCT symbol FROM etfs")
+etf_symbols = [row[0] for row in etf_cursor.fetchall()]
+
+con.close()
+etf_con.close()
+
 
 load_dotenv()
 client_key = os.getenv('REDDIT_API_KEY')
 client_secret = os.getenv('REDDIT_API_SECRET')
 user_agent = os.getenv('REDDIT_USER_AGENT')
 
-
 # Initialize Reddit instance
 reddit = praw.Reddit(
     client_id=client_key,
@@ -22,11 +38,10 @@
 )
 
 # Function to save data
-def save_data(data):
-    with open('json/reddit-tracker/wallstreetbets/stats.json', 'w', encoding='utf-8') as f:
+def save_data(data, filename):
+    with open(f'json/reddit-tracker/wallstreetbets/{filename}', 'w', encoding='utf-8') as f:
         json.dump(data, f, ensure_ascii=False, indent=2)
 
-
 def compute_daily_statistics(file_path):
     # Load the data from the JSON file
     with open(file_path, 'r', encoding='utf-8') as f:
@@ -72,9 +87,39 @@ def compute_daily_statistics(file_path):
             'tickerMentions': dict(stats['ticker_mentions'])  # Optional: include detailed ticker mentions
         })
 
-    return formatted_stats
+    return formatted_stats, daily_stats
+
+# Function to compute trending tickers
+def compute_trending_tickers(daily_stats):
+    today = datetime.now().date()
+    seven_days_ago = today - timedelta(days=14)
+
+    trending = defaultdict(int)
+
+    for date, stats in daily_stats.items():
+        if seven_days_ago <= date <= today:
+            for ticker, count in stats['ticker_mentions'].items():
+                trending[ticker] += count
+
+    trending_list = [{'symbol': symbol, 'count': count} for symbol, count in trending.items()]
+    trending_list.sort(key=lambda x: x['count'], reverse=True)
+
+    for item in trending_list:
+        symbol = item['symbol']
+        if symbol in stock_symbols:
+            item['assetType'] = 'stocks'
+        elif symbol in etf_symbols:
+            item['assetType'] = 'etf'
+        else:
+            item['assetType'] = ''
+
+    return trending_list
 
 # Usage
 file_path = 'json/reddit-tracker/wallstreetbets/data.json'
-daily_statistics = compute_daily_statistics(file_path)
-save_data(daily_statistics)
+daily_statistics, daily_stats_dict = compute_daily_statistics(file_path)
+save_data(daily_statistics, 'stats.json')
+
+# Compute and save trending tickers
+trending_tickers = compute_trending_tickers(daily_stats_dict)
+save_data(trending_tickers, 'trending.json')

app/main.py

@@ -3295,7 +3295,13 @@ async def get_reddit_tracker(api_key: str = Security(get_api_key)):
     except:
         stats = []
 
-    res = {'posts': latest_post, 'stats': stats}
+    try:
+        with open(f"json/reddit-tracker/wallstreetbets/trending.json", 'rb') as file:
+            trending = orjson.loads(file.read())[0:10]
+    except:
+        trending = []
+
+    res = {'posts': latest_post, 'stats': stats, 'trending': trending}
 
     data = orjson.dumps(res)
     compressed_data = gzip.compress(data)