update dashboard
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@ -371,6 +371,36 @@ async def get_analyst_report():
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print(f"An error occurred: {e}")
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return {}
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async def get_latest_wiim():
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url = "https://api.benzinga.com/api/v2/news"
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querystring = {"token": benzinga_api_key,"dateFrom":yesterday,"dateTo":today,"sort":"created:desc", "pageSize": 1000, "channels":"WIIM"}
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res_list = []
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async with aiohttp.ClientSession() as session:
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async with session.get(url, params=querystring, headers=headers) as response:
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data = ujson.loads(await response.text())
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for item in data:
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try:
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if len(item['stocks']) == 1:
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item['ticker'] = item['stocks'][0].get('name',None)
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with open(f"/home/mrahimi/stocknear/backend/app/json/quote/{item['ticker']}.json","r") as file:
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quote_data = ujson.load(file)
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item['marketCap'] = quote_data.get('marketCap',None)
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res_list.append({'date': item['created'], 'text': item['title'], 'marketCap': item['marketCap'],'ticker': item['ticker']})
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except:
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pass
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res_list = sorted(
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res_list,
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key=lambda item: (item['marketCap'], datetime.strptime(item['date'], '%a, %d %b %Y %H:%M:%S %z')),
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reverse=True
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)
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return res_list[:10]
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async def run():
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async with aiohttp.ClientSession() as session:
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recent_earnings = await get_recent_earnings(session)
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@ -390,6 +420,8 @@ async def run():
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recent_analyst_report = await get_analyst_report()
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recent_wiim = await get_latest_wiim()
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upcoming_earnings = [
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item for item in upcoming_earnings
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if item['symbol'] not in [earning['symbol'] for earning in recent_earnings]
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@ -411,7 +443,6 @@ async def run():
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'ivRank': highest_iv_rank,
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'openInterest': highest_open_interest_change
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}
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print(optionsData)
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except Exception as e:
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print(e)
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optionsData = {}
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@ -477,6 +508,7 @@ async def run():
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'recentEarnings': recent_earnings,
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'upcomingEarnings': upcoming_earnings,
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'analystReport': recent_analyst_report,
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'wiim': recent_wiim,
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}
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if len(data) > 0:
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130
app/test.py
130
app/test.py
@ -1,69 +1,77 @@
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import plotly.graph_objects as go
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import aiohttp
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import aiofiles
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import ujson
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import sqlite3
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import pandas as pd
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import asyncio
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import pytz
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import time
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import os
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from dotenv import load_dotenv
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from datetime import datetime, timedelta
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from tqdm import tqdm
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import pytz
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# Data for the semiconductor stocks
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data = {
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'labels': ['Semiconductors', 'NVDA', 'AVGO', 'AMD', 'TXN', 'QCOM', 'ADI', 'INTC', 'MU', 'NXPI', 'MPWR'],
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'parents': ['', 'Semiconductors', 'Semiconductors', 'Semiconductors', 'Semiconductors',
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'Semiconductors', 'Semiconductors', 'Semiconductors', 'Semiconductors',
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'Semiconductors', 'Semiconductors'],
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'values': [100, 40, 15, 10, 8, 7, 6, 5, 4, 3, 2], # Approximate sizes
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'performance': [0, -0.02, 0.29, -4.31, -0.29, -0.9, 2.12, -0.65, -2.45, -1.55, -1.9]
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}
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# Function to determine color based on performance with updated colors
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def get_color(perf):
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if perf > 0:
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return f'rgb(75, 192, 75)' # Brighter green
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elif perf < 0:
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return f'rgb(255, 82, 82)' # Brighter red
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else:
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return f'rgb(128, 128, 128)' # Gray for neutral
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date_format = "%a, %d %b %Y %H:%M:%S %z"
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# Create color list
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colors = [get_color(perf) for perf in data['performance']]
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load_dotenv()
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api_key = os.getenv('BENZINGA_API_KEY')
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# Create text labels with performance
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text = [f"{label}<br>{perf}%" if i > 0 else ""
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for i, (label, perf) in enumerate(zip(data['labels'], data['performance']))]
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headers = {"accept": "application/json"}
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# Create the treemap
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fig = go.Figure(go.Treemap(
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labels=data['labels'],
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parents=data['parents'],
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values=data['values'],
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text=text,
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textinfo="label",
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hovertext=text,
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marker=dict(
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colors=colors,
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line=dict(width=2, color='white')
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),
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textfont=dict(
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size=16,
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color='white'
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),
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))
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async def get_latest_wiim(session):
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url = "https://api.benzinga.com/api/v2/news"
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querystring = {"token": api_key,"dateFrom":"2025-01-16","dateTo":"2025-01-17","sort":"created:desc", "pageSize": 1000, "channels":"WIIM"}
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# Update layout
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fig.update_layout(
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title="Semiconductors",
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width=800,
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height=500,
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margin=dict(t=50, l=0, r=0, b=0),
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paper_bgcolor='rgb(128, 128, 128)',
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plot_bgcolor='rgb(128, 128, 128)',
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showlegend=False,
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)
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try:
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async with session.get(url, params=querystring, headers=headers) as response:
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res_list = []
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data = ujson.loads(await response.text())
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# Configuration to remove interactivity
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config = {
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'displayModeBar': False,
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'staticPlot': True, # Makes the plot completely static
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'scrollZoom': False,
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'doubleClick': False,
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'showTips': False,
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'responsive': False
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}
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for item in data:
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try:
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if len(item['stocks']) ==1:
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item['ticker'] = item['stocks'][0].get('name',None)
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# Save as HTML file
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fig.write_html("json/heatmap/data.html", config=config)
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with open(f"json/quote/{item['ticker']}.json","r") as file:
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quote_data = ujson.load(file)
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item['marketCap'] = quote_data.get('marketCap',None)
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res_list.append({'date': item['created'], 'text': item['title'], 'marketCap': item['marketCap'],'ticker': item['ticker']})
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except:
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pass
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res_list = sorted(
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res_list,
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key=lambda item: (item['marketCap'], datetime.strptime(item['date'], '%a, %d %b %Y %H:%M:%S %z')),
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reverse=True
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)
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print(res_list[:10])
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'''
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for item in res:
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for el in item['stocks']:
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# Update the 'name' key to 'ticker'
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if 'name' in el:
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el['ticker'] = el.pop('name')
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if el['ticker'] in stock_symbols:
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el['assetType'] = 'stock'
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elif el['ticker'] in etf_symbols:
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el['assetType'] = 'etf'
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res_list.append({'date': item['created'], 'text': item['title'], 'stocks': item['stocks']})
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with open(f"json/wiim/rss-feed/data.json", 'w') as file:
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ujson.dump(res_list, file)
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'''
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except Exception as e:
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print(e)
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async def run():
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async with aiohttp.ClientSession() as session:
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await get_latest_wiim(session)
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try:
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asyncio.run(run())
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except Exception as e:
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print(e)
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