我对编程比较了解，特别是关于我在通过亚马逊网络服务运行帖子请求和使用 API 请求时遇到的问题。
我目前有一个下面写的程序。
from chalice import Chalice
import requests, json
import alpaca_trade_api as tradeapi
app = Chalice(app_name='tradingview-webhook-alerts')
API_KEY = 'API'
SECRET_KEY = 'SECRET'
BASE_URL = "https://paper-api.alpaca.markets"
ORDERS_URL = "{}/v2/orders".format(BASE_URL)
HEADERS = {'APCA-API-KEY-ID': API_KEY, 'APCA-API-SECRET-KEY': SECRET_KEY}
@app.route('/GDX',methods=['POST'])
def GDX():
request = app.current_request
webhook_message = request.json_body
p = 1-(webhook_message['close'] / webhook_message['high'])
if p<.0175: #if the high price for the 15m candle is 3% higher than the close, thee excution will not occur
data = {
"symbol": webhook_message['ticker'], #want it to access whatever the payload message is, payload message I believe is what the alert from Trading_View will send
"qty": 8,
"side": "buy",
"type": "limit",
"limit_price": webhook_message['close'],
"time_in_force": "gtc",
"order_class": "bracket",
#need to find out the average max profit per trade
"take_profit": {
"limit_price": webhook_message['close'] * 1.0085 #take 0.6%% profit
},
"stop_loss": {
"stop_price": webhook_message['close'] * 0.95, #stop loss of 6%
"limit_price": webhook_message['close'] * 0.93
}
}
r = requests.post(ORDERS_URL, json=data, headers=HEADERS)
response = json.loads(r.content)
print(response)
print(p)
return {
'message': 'I bought the stock!',
'webhook_message': webhook_message
}
else:
return{
'message': 'stock not purchased',
'webhook_message': webhook_message
}
@app.route('/buy_SLV',methods=['POST'])
def buy_stock():
request = app.current_request
webhook_message = request.json_body
data = {
"symbol": webhook_message['ticker'], #want it to access whatever the payload message is, payload message I believe is what the alert from Trading_View will send
"qty": 4,
"side": "buy",
"type": "limit",
"limit_price": webhook_message['close'],
"time_in_force": "gtc",
"order_class": "bracket",
"take_profit": {
"limit_price": webhook_message['close'] * 1.008 #take 1% profit
},
"stop_loss": {
"stop_price": webhook_message['close'] * 0.95, #stop loss of 2%
"limit_price": webhook_message['close'] * 0.94
}
}
r = requests.post(ORDERS_URL, json=data, headers=HEADERS)
response = json.loads(r.content)
print(response)
print(response.keys())
return {
'message': 'I bought the stock!',
'webhook_message': webhook_message
}
@app.route('/GDX_UpperBB',methods=['POST'])
def GDX_UpperBB():
request = app.current_request
webhook_message = request.json_body
api = tradeapi.REST(API_KEY, SECRET_KEY, base_url=BASE_URL)
ids = []
orders = api.list_orders(
limit=100,
nested=True # show nested multi-leg orders
)
GDX_orders = [o for o in orders if o.symbol == 'GDX']
for i in GDX_orders:
ids.append(i.id)
if len(orders)>0:
print(ids)
for i in ids:
api.cancel_order(i)
else:
print('there are no orders')
return{
'message': 'I bought the stock!',
'webhook_message': webhook_message
}
前两种方法运行良好（通过 AWS 和本地服务器）。第三种方法（GDX_UpperBB）是导致一切停止工作的原因。当我在本地服务器上运行程序并调用 GDX_UpperBB 方法时，它可以毫无问题地执行。但是，当我通过 chalice 通过 amazon Web 服务 API 部署程序时，我得到了一个 502 BadGateway 响应和一个"message": "Internal server error"回退。
当我进入 AWS 并测试该方法时，这是我得到的控制台响应（我删除了响应的前半部分，因为它很长而且一切都说它运行成功）
Mon Oct 26 00:46:51 UTC 2020 : Received response. Status: 200, Integration latency: 15 ms
Mon Oct 26 00:46:51 UTC 2020 : Endpoint response headers: {Date=Mon, 26 Oct 2020 00:46:51 GMT, Content-Type=application/json, Content-Length=127, Connection=keep-alive, x-amzn-RequestId=621b56f9-6bee-43af-8fe2-7f2cbeb7420e, X-Amz-Function-Error=Unhandled, x-amzn-Remapped-Content-Length=0, X-Amz-Executed-Version=$LATEST, X-Amzn-Trace-Id=root=1-5f961c7b-0a211c4e04be837554d0857f;sampled=0}
Mon Oct 26 00:46:51 UTC 2020 : Endpoint response body before transformations: {"errorMessage": "Unable to import module 'app': No module named 'alpaca_trade_api'", "errorType": "Runtime.ImportModuleError"}
Mon Oct 26 00:46:51 UTC 2020 : Lambda execution failed with status 200 due to customer function error: Unable to import module 'app': No module named 'alpaca_trade_api'. Lambda request id: 621b56f9-6bee-43af-8fe2-7f2cbeb7420e
Mon Oct 26 00:46:51 UTC 2020 : Method completed with status: 502
感谢所有帮助。