refactor etf provider
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@ -13,7 +13,7 @@ stock_screener_data_dict = {item['symbol']: item for item in stock_screener_data
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query_etf_holding = f"SELECT holding from etfs WHERE symbol = ?"
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quote_cache = {}
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async def save_json(category, data, category_type='market-cap'):
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with open(f"json/{category_type}/list/{category}.json", 'wb') as file:
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@ -21,11 +21,16 @@ async def save_json(category, data, category_type='market-cap'):
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async def get_quote_data(symbol):
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"""Get quote data for a symbol from JSON file"""
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try:
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with open(f"json/quote/{symbol}.json", 'r') as file:
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return orjson.loads(file.read())
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except FileNotFoundError:
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return None
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if symbol in quote_cache:
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return quote_cache[symbol]
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else:
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try:
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with open(f"json/quote/{symbol}.json") as file:
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quote_data = orjson.loads(file.read())
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quote_cache[symbol] = quote_data # Cache the loaded data
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return quote_data
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except:
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return None
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async def process_category(cursor, category, condition, category_type='market-cap'):
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"""
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@ -80,7 +85,6 @@ async def process_category(cursor, category, condition, category_type='market-ca
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return sorted_result
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def get_etf_holding(etf_symbols, etf_con):
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quote_cache = {}
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for ticker in tqdm(etf_symbols):
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res = []
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@ -120,6 +124,58 @@ def get_etf_holding(etf_symbols, etf_con):
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with open(f"json/etf/holding/{ticker}.json", 'wb') as file:
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file.write(orjson.dumps(res))
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def get_etf_provider(etf_symbols, etf_con):
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cursor = etf_con.cursor()
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cursor.execute("SELECT DISTINCT etfProvider FROM etfs")
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etf_provider = [row[0] for row in cursor.fetchall()]
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print(etf_provider)
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query = "SELECT symbol, name, expenseRatio, totalAssets, numberOfHoldings FROM etfs WHERE etfProvider = ?"
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for provider in etf_provider:
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try:
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cursor.execute(query, (provider,))
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raw_data = cursor.fetchall()
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# Extract only relevant data and sort it
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# Extract only relevant data and filter only integer totalAssets
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res = [
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{'symbol': row[0], 'name': row[1], 'expenseRatio': row[2], 'totalAssets': row[3], 'numberOfHoldings': row[4]}
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for row in raw_data if isinstance(row[3], float) or isinstance(row[3], int)
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]
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for item in res:
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try:
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symbol = item['symbol']
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if symbol in quote_cache:
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quote_data = quote_cache[symbol]
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else:
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# Load the quote data from file if not in cache
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try:
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with open(f"json/quote/{symbol}.json") as file:
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quote_data = orjson.loads(file.read())
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quote_cache[symbol] = quote_data # Cache the loaded data
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except:
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quote_data = None
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# Assign price and changesPercentage if available, otherwise set to None
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item['price'] = round(quote_data.get('price'), 2) if quote_data else None
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item['changesPercentage'] = round(quote_data.get('changesPercentage'), 2) if quote_data else None
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item['name'] = quote_data.get('name') if quote_data else None
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except:
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pass
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sorted_res = sorted(res, key=lambda x: x['totalAssets'], reverse=True)
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# Save results to a file if there's data to write
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if sorted_res:
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with open(f"json/etf/provider/{provider}.json", 'wb') as file:
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file.write(orjson.dumps(sorted_res))
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except:
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pass
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cursor.close()
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async def run():
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"""Main function to run the analysis for all categories"""
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market_cap_conditions = {
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@ -157,7 +213,7 @@ async def run():
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etf_symbols = [row[0] for row in etf_cursor.fetchall()]
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# Process market cap categories
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'''
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for category, condition in market_cap_conditions.items():
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await process_category(cursor, category, condition, 'market-cap')
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await asyncio.sleep(1) # Small delay between categories
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@ -169,6 +225,8 @@ async def run():
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get_etf_holding(etf_symbols, etf_con)
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'''
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get_etf_provider(etf_symbols, etf_con)
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except Exception as e:
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48
app/main.py
48
app/main.py
@ -2318,33 +2318,37 @@ async def get_all_etf_providers(api_key: str = Security(get_api_key)):
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return res
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@app.post("/etf-provider")
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async def etf_provider(data: ETFProviderData, api_key: str = Security(get_api_key)):
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data = data.dict()
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etf_provider = data['etfProvider'].lower()
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@app.post("/etf-provider")
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async def etf_holdings(data: ETFProviderData, api_key: str = Security(get_api_key)):
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etf_provider = data.etfProvider.lower()
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cache_key = f"etf-provider-{etf_provider}"
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cached_result = redis_client.get(cache_key)
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if cached_result:
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return orjson.loads(cached_result)
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return StreamingResponse(
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io.BytesIO(cached_result),
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media_type="application/json",
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headers={"Content-Encoding": "gzip"}
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)
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try:
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with open(f"json/etf/provider/{etf_provider}.json", 'rb') as file:
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res = orjson.loads(file.read())
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except:
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res = []
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data = orjson.dumps(res)
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compressed_data = gzip.compress(data)
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redis_client.set(cache_key, compressed_data)
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redis_client.expire(cache_key,60*10)
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return StreamingResponse(
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io.BytesIO(compressed_data),
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media_type="application/json",
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headers={"Content-Encoding": "gzip"}
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)
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# Check if data is cached; if not, fetch and cache it
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cursor = etf_con.cursor()
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query = "SELECT symbol, name, expenseRatio, totalAssets, numberOfHoldings FROM etfs WHERE etfProvider = ?"
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cursor.execute(query, (etf_provider,))
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raw_data = cursor.fetchall()
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cursor.close()
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# Extract only relevant data and sort it
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# Extract only relevant data and filter only integer totalAssets
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res = [
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{'symbol': row[0], 'name': row[1], 'expenseRatio': row[2], 'totalAssets': row[3], 'numberOfHoldings': row[4]}
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for row in raw_data if isinstance(row[3], float) or isinstance(row[3], int)
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]
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sorted_res = sorted(res, key=lambda x: x['totalAssets'], reverse=True)
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redis_client.set(cache_key, orjson.dumps(sorted_res))
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redis_client.expire(cache_key, 3600 * 24) # Set cache expiration time to 1 day
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return sorted_res
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@app.get("/etf-new-launches")
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async def etf_provider(api_key: str = Security(get_api_key)):
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