(Chilkat2-Python) Use Socket Object for the Connection

The Chilkat Socket API provides many features for establishing connections, which includes the following:

• Connect through an HTTP proxy
• Connect through a SOCKS proxy
• Connect through an SSH tunnel
• Binding to a local IP address
• Client-side Certificates (two-way SSL/TLS)
• Public Key Pinning for TLS connections
• Controlling TLS ciphers

Rather than reproducing all of the properties and methods required for these features, the REST object can use a Socket object's connection by calling the UseConnection method. This allows for an application to use the features of the Socket API to establish the connection, and then use it from the REST API.

Chilkat2 Python Downloads install with pip pip3 install chilkat2 or download... Python Module for Windows, Linux, Alpine Linux, MacOS, Solaris

import sys
import chilkat2

# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

# This example shows how to use the Chilkat socket object's connection.
rest = chilkat2.Rest()
socket = chilkat2.Socket()

# Establish the connection using the socket object:
bTls = True
port = 443
maxWaitMs = 5000
success = socket.Connect("www.alphavantage.co",port,bTls,maxWaitMs)
if (success != True):
    print("Connect Failure Error Code: " + str(socket.ConnectFailReason))
    print(socket.LastErrorText)
    sys.exit()

bAutoReconnect = True

# Use the connection:
success = rest.UseConnection(socket,bAutoReconnect)
if (success != True):
    print(rest.LastErrorText)
    sys.exit()

# Get a stock quote:
# Sending GET request to https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=MSFT&apikey=my_api_key
success = rest.AddQueryParam("function","TIME_SERIES_DAILY")
success = rest.AddQueryParam("symbol","AAPL")
success = rest.AddQueryParam("apikey","my_api_key")
responseJson = rest.FullRequestNoBody("GET","/query")
if (rest.LastMethodSuccess != True):
    print(rest.LastErrorText)
    sys.exit()

print(responseJson)

# Sample response:
# {
#     "Meta Data": {
#         "1. Information": "Daily Prices (open, high, low, close) and Volumes",
#         "2. Symbol": "AAPL",
#         "3. Last Refreshed": "2019-12-06",
#         "4. Output Size": "Compact",
#         "5. Time Zone": "US/Eastern"
#     },
#     "Time Series (Daily)": {
#         "2019-12-06": {
#             "1. open": "267.4800",
#             "2. high": "271.0000",
#             "3. low": "267.3000",
#             "4. close": "270.7100",
#             "5. volume": "25447644"
#         },
#         "2019-12-05": {
#             "1. open": "263.7900",
#             "2. high": "265.8900",
#             "3. low": "262.7300",
#             "4. close": "265.5800",
#             "5. volume": "18661343"
#         },
#         "2019-12-04": {
#             "1. open": "261.0700",
#             "2. high": "263.3100",
#             "3. low": "260.6800",
#             "4. close": "261.7400",
#             "5. volume": "16810388"
#         },
# ...
#         "2019-07-18": {
#             "1. open": "204.0000",
#             "2. high": "205.8800",
#             "3. low": "203.7000",
#             "4. close": "205.6600",
#             "5. volume": "18582161"
#         }
#     }
# }