pkhamre/reddit_stock_analyzer
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Improve fetching of financial data.

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This commit is contained in:
Pål-Kristian Hamre
2025-07-23 12:52:02 +02:00
parent bd27db49e7
commit de57a5b26b
3 changed files with 57 additions and 97 deletions
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8
post_to_reddit.py
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@@ -6,13 +6,17 @@ import glob
from datetime import datetime, timezone
import praw
from dotenv import load_dotenv
from pathlib import Path
# --- CONFIGURATION ---
IMAGE_DIR = "images"
def get_reddit_instance():
"""Initializes and returns a PRAW Reddit instance from .env credentials."""
load_dotenv()
"""Initializes and returns a PRAW Reddit instance using OAuth2 refresh token."""
env_path = Path(__file__).parent / '.env'
load_dotenv(dotenv_path=env_path)
client_id = os.getenv("REDDIT_CLIENT_ID")
client_secret = os.getenv("REDDIT_CLIENT_SECRET")
user_agent = os.getenv("REDDIT_USER_AGENT")

1
rstat_tool/database.py
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@@ -7,6 +7,7 @@ from .logger_setup import logger as log
from datetime import datetime, timedelta, timezone
DB_FILE = "reddit_stocks.db"
MARKET_CAP_REFRESH_INTERVAL = 86400
def get_db_connection():
"""Establishes a connection to the SQLite database."""

139
rstat_tool/main.py
View File

@@ -6,20 +6,18 @@ import os
import time
import sys
import subprocess
import praw
from dotenv import load_dotenv
from pathlib import Path
import praw
from . import database
from .ticker_extractor import extract_tickers
from .sentiment_analyzer import get_sentiment_score
from .logger_setup import setup_logging, logger as log
load_dotenv()
MARKET_CAP_REFRESH_INTERVAL = 86400
POST_AGE_LIMIT = 86400
def load_subreddits(filepath):
"""Loads a list of subreddits from a JSON file."""
try:
with open(filepath, 'r') as f:
return json.load(f).get("subreddits", [])
@@ -28,30 +26,42 @@ def load_subreddits(filepath):
return None
def get_reddit_instance():
"""Initializes and returns a PRAW Reddit instance."""
env_path = Path(__file__).parent.parent / '.env'
load_dotenv(dotenv_path=env_path)
client_id = os.getenv("REDDIT_CLIENT_ID")
client_secret = os.getenv("REDDIT_CLIENT_SECRET")
user_agent = os.getenv("REDDIT_USER_AGENT")
if not all([client_id, client_secret, user_agent]):
print("Error: Reddit API credentials not found in .env file.")
log.error("Error: Reddit API credentials not found in .env file.")
return None
return praw.Reddit(client_id=client_id, client_secret=client_secret, user_agent=user_agent)
def get_financial_data_via_fetcher(ticker_symbol):
"""
Calls the external fetcher.py script in an isolated process to get financial data.
"""
try:
command = [sys.executable, "-m", "rstat_tool.fetcher", ticker_symbol]
result = subprocess.run(
command, capture_output=True, text=True, check=True, timeout=30
)
return json.loads(result.stdout)
except Exception as e:
log.warning(f"Fetcher script failed for {ticker_symbol}: {e}")
return {"market_cap": None, "closing_price": None}
def scan_subreddits(reddit, subreddits_list, post_limit=100, comment_limit=100, days_to_scan=1):
"""
Scans subreddits with a hybrid mention counting logic.
- If a ticker is in the title, it gets credit for all comments.
- If not, tickers only get credit for direct mentions in comments.
"""
""" Scans subreddits and uses the fetcher to get financial data. """
conn = database.get_db_connection()
post_age_limit = days_to_scan * 86400
current_time = time.time()
log.info(f"\nScanning {len(subreddits_list)} subreddit(s) for NEW posts in the last {days_to_scan} day(s)...")
log.info(f"Scanning {len(subreddits_list)} subreddit(s) for NEW posts in the last {days_to_scan} day(s)...")
for subreddit_name in subreddits_list:
try:
# Always use the lowercase version of the name for consistency.
normalized_sub_name = subreddit_name.lower()
subreddit_id = database.get_or_create_entity(conn, 'subreddits', 'name', normalized_sub_name)
subreddit = reddit.subreddit(normalized_sub_name)
log.info(f"Scanning r/{normalized_sub_name}...")
@@ -62,54 +72,45 @@ def scan_subreddits(reddit, subreddits_list, post_limit=100, comment_limit=100,
break
tickers_in_title = set(extract_tickers(submission.title))
all_tickers_found_in_post = set(tickers_in_title) # Start a set to track all tickers for financials
all_tickers_found_in_post = set(tickers_in_title)
submission.comments.replace_more(limit=0)
all_comments = submission.comments.list()[:comment_limit]
# --- CASE A: Tickers were found in the title ---
if tickers_in_title:
log.info(f" -> Title Mention(s): {', '.join(tickers_in_title)}. Attributing all comments.")
post_sentiment = get_sentiment_score(submission.title)
# Add one 'post' mention for each title ticker
for ticker_symbol in tickers_in_title:
ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol)
database.add_mention(conn, ticker_id, subreddit_id, submission.id, 'post', int(submission.created_utc), post_sentiment)
# Add one 'comment' mention for EACH comment FOR EACH title ticker
for comment in all_comments:
comment_sentiment = get_sentiment_score(comment.body)
for ticker_symbol in tickers_in_title:
ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol)
database.add_mention(conn, ticker_id, subreddit_id, submission.id, 'comment', int(comment.created_utc), comment_sentiment)
# --- CASE B: No tickers in the title, scan comments individually ---
else:
for comment in all_comments:
tickers_in_comment = set(extract_tickers(comment.body))
if tickers_in_comment:
all_tickers_found_in_post.update(tickers_in_comment) # Add to our set for financials
all_tickers_found_in_post.update(tickers_in_comment)
comment_sentiment = get_sentiment_score(comment.body)
for ticker_symbol in tickers_in_comment:
ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol)
database.add_mention(conn, ticker_id, subreddit_id, submission.id, 'comment', int(comment.created_utc), comment_sentiment)
# --- EFFICIENT FINANCIALS UPDATE ---
# Now, update market cap once for every unique ticker found in the whole post
# --- THIS IS THE CRITICAL LOGIC THAT WAS MISSING ---
for ticker_symbol in all_tickers_found_in_post:
ticker_id = database.get_or_create_entity(conn, 'tickers', 'symbol', ticker_symbol)
ticker_info = database.get_ticker_info(conn, ticker_id)
if not ticker_info['last_updated'] or (current_time - ticker_info['last_updated'] > MARKET_CAP_REFRESH_INTERVAL):
if not ticker_info['last_updated'] or (current_time - ticker_info['last_updated'] > database.MARKET_CAP_REFRESH_INTERVAL):
log.info(f" -> Fetching financial data for {ticker_symbol}...")
financials = get_financial_data(ticker_symbol)
financials = get_financial_data_via_fetcher(ticker_symbol)
database.update_ticker_financials(
conn, ticker_id,
financials['market_cap'] or ticker_info['market_cap'],
financials['closing_price'] or ticker_info['closing_price']
financials.get('market_cap'),
financials.get('closing_price')
)
# --- DEEP DIVE SAVE (Still valuable) ---
all_comment_sentiments = [get_sentiment_score(c.body) for c in all_comments]
avg_sentiment = sum(all_comment_sentiments) / len(all_comment_sentiments) if all_comment_sentiments else 0
post_analysis_data = {
@@ -121,92 +122,46 @@ def scan_subreddits(reddit, subreddits_list, post_limit=100, comment_limit=100,
database.add_or_update_post_analysis(conn, post_analysis_data)
except Exception as e:
log.error(f"Could not scan r/{subreddit_name}. Error: {e}")
log.error(f"Could not scan r/{normalized_sub_name}. Error: {e}", exc_info=True)
conn.close()
log.critical("\n--- Scan Complete ---")
def main():
"""Main function to run the Reddit stock analysis tool."""
parser = argparse.ArgumentParser(description="Analyze stock ticker mentions on Reddit.", formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument("-f", "--config", default="subreddits.json", help="Path to the JSON file containing subreddits.\n(Default: subreddits.json)")
parser.add_argument("-s", "--subreddit", help="Scan a single subreddit, ignoring the config file.")
parser.add_argument("-d", "--days", type=int, default=1, help="Number of past days to scan for new posts.\n(Default: 1 for last 24 hours)")
parser.add_argument("-p", "--posts", type=int, default=200, help="Max posts to check per subreddit.\n(Default: 200)")
parser.add_argument("-c", "--comments", type=int, default=100, help="Number of comments to scan per post.\n(Default: 100)")
parser.add_argument("-u", "--update-financials-only", action="store_true", help="Skip Reddit scan and only update financial data for all existing tickers.")
parser.add_argument("--update-financials-only", action="store_true", help="Skip Reddit scan and only update financial data for all existing tickers.")
parser.add_argument("--config", default="subreddits.json", help="Path to the JSON file for scanning.")
parser.add_argument("--subreddit", help="Scan a single subreddit, ignoring the config file.")
parser.add_argument("--days", type=int, default=1, help="Number of past days to scan for new posts.")
parser.add_argument("-p", "--posts", type=int, default=200, help="Max posts to check per subreddit.")
parser.add_argument("-c", "--comments", type=int, default=100, help="Number of comments to scan per post.")
parser.add_argument("--stdout", action="store_true", help="Print all log messages to the console.")
args = parser.parse_args()
setup_logging(console_verbose=args.stdout)
if args.subreddit:
# If --subreddit is used, create a list with just that one.
subreddits_to_scan = [args.subreddit]
log.critical(f"Targeted Scan Mode: Focusing on r/{args.subreddit}")
else:
# Otherwise, load from the config file.
log.critical(f"Config Scan Mode: Loading subreddits from {args.config}")
# Use the correct argument name: args.config
subreddits_to_scan = load_subreddits(args.config)
if not subreddits_to_scan:
log.error("Error: No subreddits to scan. Please check your config file or --subreddit argument.")
return
# --- Initialize and Run ---
database.initialize_db()
if args.update_financials_only:
log.critical("--- Starting Financial Data Update Only Mode (using isolated fetcher) ---")
all_tickers = database.get_all_tickers() # No longer need to manage 'conn' here
all_tickers = database.get_all_tickers()
log.info(f"Found {len(all_tickers)} tickers in the database to update.")
conn = database.get_db_connection()
for ticker in all_tickers:
symbol = ticker['symbol']
log.info(f" -> Fetching financials for {symbol}...")
try:
# --- THIS IS THE NEW LOGIC ---
# Construct the command to run our fetcher script in a new process
command = [sys.executable, "-m", "rstat_tool.fetcher", symbol]
# Run the command, capture the output, and set a timeout
result = subprocess.run(
command,
capture_output=True,
text=True,
check=True, # This will raise an exception if the script returns a non-zero exit code
timeout=30 # Timeout after 30 seconds
)
# The output from the script is a JSON string
financials = json.loads(result.stdout)
database.update_ticker_financials(
conn, ticker['id'],
financials.get('market_cap'),
financials.get('closing_price')
)
# --- END OF NEW LOGIC ---
except subprocess.CalledProcessError as e:
log.error(f"Fetcher script failed for {symbol}: {e.stderr}")
except subprocess.TimeoutExpired:
log.error(f"Fetcher script timed out for {symbol}.")
except json.JSONDecodeError:
log.error(f"Could not parse JSON from fetcher script for {symbol}.")
except Exception as e:
log.error(f"An unexpected error occurred for {symbol}: {e}")
log.info(f" -> Updating financials for {symbol}...")
financials = get_financial_data_via_fetcher(symbol)
database.update_ticker_financials(
conn, ticker['id'],
financials.get('market_cap'),
financials.get('closing_price')
)
conn.close()
log.critical("--- Financial Data Update Complete ---")
else:
# This is the normal Reddit scanning logic
log.critical("--- Starting Reddit Scan Mode ---")
if args.subreddit:
subreddits_to_scan = [args.subreddit]