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Read Live Algorithm

Logs

Introduction

Get the logs of a specific live algorithm.

Request

Information about the algorithm to read live logs from. The /live/logs/read API accepts requests in the following format:

ReadLiveLogsRequest Model - Request to read the logs of a specific algorithm. The difference between 'startLine' and 'endLine' must be smaller than 250, else an error will be thrown.
format object
example: json

Format of the log results.
projectId integer
required
example: 23456789

Project Id of the live running algorithm.
algorithmId string
required

Deploy Id (Algorithm Id) of the live running algorithm.
startLine integer
required

Start line of logs to read.
endLine integer
required

End line of logs to read.
Example
{
  "format": "json",
  "projectId": 23456789,
  "algorithmId": "string",
  "startLine": 0,
  "endLine": 0
}

Responses

The /live/logs/read API provides a response in the following format:

200 Success

ReadLiveLogsResponse Model - Logs from a live algorithm.
logs string Array
List of logs from the live algorithm.
length integer
Total amount of rows in the logs.
deploymentOffset integer
Amount of log rows before the current deployment.
success boolean
Indicate if the API request was successful.
errors string Array
List of errors with the API call.
Example
{
  "logs": [
    "string"
  ],
  "length": 0,
  "deploymentOffset": 0,
  "success": true,
  "errors": [
    "string"
  ]
}

401 Authentication Error

UnauthorizedError Model - Unauthorized response from the API. Key is missing, invalid, or timestamp is too old for hash.
www_authenticate string
Header

Examples

The following example demonstates creating, reading, updating, and listing live algorithms of a project through the cloud API.

from base64 import b64encode
from hashlib import sha256
from time import time
from requests import get, post
BASE_URL = 'https://www.quantconnect.com/api/v2/'

# You need to replace these with your actual credentials.
# You can request your credentials at https://www.quantconnect.com/settings/
# You can find our organization ID at https://www.quantconnect.com/organization/ 
USER_ID = 0
API_TOKEN = '____'
ORGANIZATION_ID = '____'

def get_headers():
    # Get timestamp
    timestamp = f'{int(time())}'
    time_stamped_token = f'{API_TOKEN}:{timestamp}'.encode('utf-8')

    # Get hased API token
    hashed_token = sha256(time_stamped_token).hexdigest()
    authentication = f'{USER_ID}:{hashed_token}'.encode('utf-8')
    authentication = b64encode(authentication).decode('ascii')

    # Create headers dictionary.
    return {
        'Authorization': f'Basic {authentication}',
        'Timestamp': timestamp
    }

# Authenticate to verify credentials
response = post(f'{BASE_URL}/authenticate', headers = get_headers())
print(response.json())

# --------------------


### Create Live Algorithm
# Define placeholder IDs for compilation and node (replace with actual values)
project_id = 12345678
compile_id = "compile_id..."
node_id = "node_id..."
# Prepare the data payload for creating a live algorithm with necessary details
payload = {
    "versionId": "-1",  # Use the latest version of the algorithm
    "projectId": project_id,  # ID of the project to deploy as a live algorithm
    "compileId": compile_id,  # Compilation ID for the algorithm code
    "nodeId": node_id,  # Node ID where the algorithm will run
    "brokerage": {  # Brokerage configuration for live trading
        "id": "QuantConnectBrokerage",  # Brokerage identifier
        "user": "",  # Brokerage username (replace with actual value)
        "password": "",  # Brokerage password (replace with actual value)
        "environment": "live-paper",  # Trading environment (live or paper)
        "account": ""  # Brokerage account ID (replace with actual value)
    },
    "dataProviders": {  # Data provider configuration
        "QuantConnectBrokerage": {
            "id": "QuantConnectBrokerage"  # Data provider identifier
        }
    },
    "parameters": {},  # Optional algorithm parameters (empty in this example)
    "notification": {}  # Optional notification settings (empty in this example)
}
# Send a POST request to the /live/create endpoint to deploy the algorithm
response = post(f'{BASE_URL}/live/create', headers=get_headers(), json=data)
# Parse the JSON response into python managable dict from the API
result = response.json()
# Extract the deploy ID from the response for future operations
deploy_id = result['deployId']
# Check if the request was successful and print the result
if result['success']:
    print("Live Algorithm Created Successfully:")
    print(result)

### Read Live Algorithm Statistics
# Prepare data payload with project and deploy IDs to fetch statistics
payload = {
    "projectId": project_id,  # ID of the project
    "deployId": deploy_id  # ID of the deployed live algorithm
}
# Send a POST request to the /live/read endpoint to get algorithm statistics
response = post(f'{BASE_URL}/live/read', headers=get_headers(), json=payload)
# Parse the JSON response into python managable dict
result = response.json()
# Check if the request was successful and print the statistics
if result['success']:
    print("Live Algorithm Statistics:")
    print(result)

### Liquidate Live Algorithm
# Prepare data payload with project ID to liquidate the algorithm
payload = {
    "projectId": project_id  # ID of the project to liquidate
}
# Send a POST request to the /live/update/liquidate endpoint to liquidate
response = post(f'{BASE_URL}/live/update/liquidate', headers=get_headers(), json=payload)
# Parse the JSON response into python managable dict
result = response.json()
# Check if the request was successful and print the result
if result['success']:
    print("Live Algorithm Liquidated Successfully:")
    print(result)

### Stop Live Algorithm
# Prepare data payload with project ID to stop the algorithm
payload = {
    "projectId": project_id  # ID of the project to stop
}
# Send a POST request to the /live/update/stop endpoint to stop the algorithm
response = post(f'{BASE_URL}/live/update/stop', headers=get_headers(), json=payload)
# Parse the JSON response into python managable dict
result = response.json()
# Check if the request was successful and print the result
if result['success']:
    print("Live Algorithm Stopped Successfully:")
    print(result)

### List Live Algorithms
# Prepare data payload with filters for listing live algorithms
payload = {
    "status": "Running",  # Filter to show only running algorithms
    "start": 1717801200,  # Start time (Unix timestamp) for the list range
    "end": 1743462000  # End time (Unix timestamp) for the list range
}
# Send a POST request to the /live/list endpoint to list algorithms
response = post(f'{BASE_URL}/live/list', headers=get_headers(), json=payload)
# Parse the JSON response into python managable dict
result = response.json()
# Check if the request was successful and print the list
if result['success']:
    print("List of Live Algorithms:")
    print(result)

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