add gitignore

.gitignore

@@ -0,0 +1,2 @@
+secrets.json
+fin_data.db

fin_data_api.py

@@ -3,6 +3,7 @@ from transformers import pipeline
 import json
 import requests
 import datetime
+import sqlite3
 
 with open('secrets.json') as f:
     content = json.load(f)
@@ -32,21 +33,34 @@ def sentiment_analysis(headline:str) -> str:
     return nlp(headline)
 
 
-# get news articles for a company 
-res_news = get_finnhub_data('/company-news?symbol=AAPL&from=2023-08-15&to=2023-08-20')
+## get news articles for a company 
+#res_news = get_finnhub_data('/company-news?symbol=AAPL&from=2023-08-15&to=2023-08-20')
 #print(res_news[0].keys())
-for item in res_news:
-    dt_object = datetime.datetime.fromtimestamp(item['datetime']).strftime("%Y-%m-%d")
+#for item in res_news:
+    #dt_object = datetime.datetime.fromtimestamp(item['datetime']).strftime("%Y-%m-%d")
     #print(item['headline'], item['source'], dt_object)
 
 
-# get basic financials
-res_basic_fins = get_finnhub_data('/stock/metric?symbol=AAPL&metric=all')
+## get basic financials
+#res_basic_fins = get_finnhub_data('/stock/metric?symbol=AAPL&metric=all')
 #print(res_basic_fins['metric'].keys())
 #print(res_basic_fins['series']['annual'].keys())
 #print(res_basic_fins['series']['quarterly'].keys())
 
 
-# get insider sentiment
-res_sentiment = get_finnhub_data('/stock/insider-sentiment?symbol=AAPL')
-#print(res_sentiment['data'][0].keys())
+## get insider sentiment
+#res_sentiment = get_finnhub_data('/stock/insider-sentiment?symbol=AAPL')
+#print(res_sentiment['data'][0].keys())
+
+
+# put data in database after figuring out what data we want to store
+conn = sqlite3.connect('fin_data.db')
+c = conn.cursor()
+c.execute("""
+       select * from test
+""")
+
+print(c.fetchall())
+
+conn.commit()
+conn.close()

requirements.txt

@@ -16,3 +16,4 @@ pathos
 transformers
 requests
 datetime
+pysqlite3 == 0.5.2