83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
from datetime import datetime, timedelta
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import ujson
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import time
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import sqlite3
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import asyncio
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import aiohttp
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import random
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from tqdm import tqdm
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from dotenv import load_dotenv
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import os
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load_dotenv()
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api_key = os.getenv('FMP_API_KEY')
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async def save_json(symbol, data):
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with open(f"json/market-cap/companies/{symbol}.json", 'w') as file:
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ujson.dump(data, file)
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async def get_data(session, symbol):
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res_list = []
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start_date = '1990-01-01'
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dates = [
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'1995-01-01',
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'2000-01-01',
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'2005-01-01',
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'2010-01-01',
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'2015-01-01',
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'2020-01-01',
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'2025-01-01'
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]
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for end_date in dates:
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# Construct the API URL
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url = f"https://financialmodelingprep.com/api/v3/historical-market-capitalization/{symbol}?from={start_date}&to={end_date}&limit=2000&apikey={api_key}"
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try:
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async with session.get(url) as response:
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if response.status == 200:
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data = await response.json()
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if len(data) > 0:
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res_list.extend(data)
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except Exception as e:
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print(f"Error fetching data for {symbol}: {e}")
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start_date = end_date
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if len(res_list) > 0:
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# Remove duplicates based on the 'date' field
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unique_res_list = {item['date']: item for item in res_list}.values()
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unique_res_list = sorted(unique_res_list, key=lambda x: x['date'])
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# Filter out 'symbol' from each item
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filtered_data = [{k: v for k, v in item.items() if k != 'symbol'} for item in unique_res_list]
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# Save the filtered data
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await save_json(symbol, filtered_data)
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async def run():
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con = sqlite3.connect('stocks.db')
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cursor = con.cursor()
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cursor.execute("PRAGMA journal_mode = wal")
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cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE symbol NOT LIKE '%.%'")
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symbols = [row[0] for row in cursor.fetchall()]
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con.close()
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async with aiohttp.ClientSession() as session:
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tasks = []
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for i, symbol in enumerate(tqdm(symbols), 1):
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tasks.append(get_data(session, symbol))
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if i % 150 == 0:
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await asyncio.gather(*tasks)
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tasks = []
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print(f'sleeping mode: {i}')
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await asyncio.sleep(60) # Pause for 60 seconds
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if tasks:
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await asyncio.gather(*tasks)
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if __name__ == "__main__":
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loop = asyncio.get_event_loop()
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loop.run_until_complete(run()) |