From 3d22151e3f4daf6cf053ee8d9949ca5b3335bef5 Mon Sep 17 00:00:00 2001 From: MuslemRahimi Date: Thu, 11 Jul 2024 17:49:54 +0200 Subject: [PATCH] update endpoint --- app/main.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/app/main.py b/app/main.py index b1d44ac..b13c02f 100755 --- a/app/main.py +++ b/app/main.py @@ -6,7 +6,7 @@ import re import os import secrets from typing import List, Dict, Set - +from datetime import datetime, timedelta # Third-party library imports import numpy as np import pandas as pd @@ -2474,11 +2474,12 @@ async def get_options_flow_ticker(data:TickerData): data = fin.options_activity(company_tickers=ticker, pagesize=500) data = ujson.loads(fin.output(data))['option_activity'] res_list = [] - keys_to_keep = {'updated', 'sentiment','option_activity_type', 'price', 'underlying_price', 'cost_basis', 'strike_price', 'date', 'date_expiration', 'open_interest', 'put_call', 'volume'} + keys_to_keep = {'time', 'sentiment','option_activity_type', 'price', 'underlying_price', 'cost_basis', 'strike_price', 'date', 'date_expiration', 'open_interest', 'put_call', 'volume'} for item in data: filtered_item = {key: value for key, value in item.items() if key in keys_to_keep} filtered_item['type'] = filtered_item['option_activity_type'].capitalize() filtered_item['sentiment'] = filtered_item['sentiment'].capitalize() + #filtered_item['time'] = (datetime.strptime(filtered_item['time'], '%H:%M:%S')-timedelta(hours=0)).strftime('%H:%M:%S') filtered_item['put_call'] = 'Calls' if filtered_item['put_call'] == 'CALL' else 'Puts' res_list.append(filtered_item) except: