Python SDK reference
This SDK is not currently supported on Harness Self-Managed Enterprise Edition (on premises).
This topic describes how to use the Harness Feature Flags Java SDK for your Java application.
For getting started quickly, you can use our sample code from the Python SDK README. You can also clone and run a sample application from the Python SDK GitHub Repository.
Before You Begin
You should read and understand the following:
- Feature Flags Overview
- Getting Started with Feature Flags
- Client-Side and Server-Side SDKs
- Communication Strategy Between SDKs and Harness Feature Flags
Version
The current version of this SDK is 1.2.2.
Requirements
To use this SDK, make sure you:
- Install Python 3.7 or newer
- Install pip
- Download the SDK from our GitHub repository
- Create a Java application, or clone our sample application.
- Create a Feature Flag on the Harness Platform. If you are following along with the SDK README sample code, make sure your flag is called
harnessappdemodarkmode
- Create an SDK key and make a copy of it
Install the SDK
Install the python SDK using pip
python -m pip install harness-featureflags
Initialize the SDK
To initialize the Python SDK, you need to:
- Add your Server SDK Key to connect to your Harness Environment.
- Add a Target that you want to Evaluate against a Feature Flag.
- (Optional) Configure the SDK options. For more details on what features you can configure for this SDK, go to Configure the SDK.
If the SDK fails to authenticate with the Feature Flags service and cannot initialise, the SDK will operate in a "limited" mode and will only serve the default values you provide in variation calls.
Add the Server SDK Key
To connect to the correct Environment that you set up on the Harness Platform, you need to add the Server SDK Key from that Environment. Input the Server SDK Key into the api_key
parameter. For example:
"""
Put the API Key here from your environment
"""
api_key = "YOUR_API_KEY";
cf = CfClient(api_key);
Add a Target
What is a Target?
For more information about Targets, go to Targeting Users With Flags.
To add a Target, build it and pass in arguments for the following:
Parameter | Description | Required? | Example |
identifier | Unique ID for the Target.Read Regex requirements for Target names and identifiers below for accepted characters. | Required | identifier='HT_1' |
name | Name for this Target. This does not have to be unique. Note: If you don’t provide a value, the name will be the same as the identifier.Read Regex requirements for Target names and identifiers below for accepted characters. | OptionalNote: If you don't want to send a name, don't send the parameter. Sending an empty argument will cause an error. | name="Harness_Target_1" |
attributes | Additional data you can store for a Target, such as email addresses or location. | Optional | attributes={"email": "demo@harness.io"} |
Regex requirements for Target names and identifiers
Identifier
Regex: ^[A-Za-z0-9.@_-]*$
Must consist of only alphabetical characters, numbers, and the following symbols:
. (period)
@ (at sign)
-(dash)
_ (underscore)
The characters can be lowercase or uppercase but cannot include accented letters, for example Cafe_789
.
Name
Regex: ^[\\p{L}\\d .@_-]*$
Must consist of only alphabetical characters, numbers, and the following symbols:
. (period)
@ (at sign)
-(dash)
_ (underscore)
(space)
The characters can be lowercase or uppercase and can include accented letters, for example Café_123
.
For example:
target = Target(identifier='HT_1', name="Harness_Target_1", attributes={"email": "demo@harness.io"})
Configure the SDK
You can configure the following features of the SDK:
Name | Example | Description | Default Value |
baseUrl | with_base_url("https://config.ff.harness.io/api/1.0") | The URL used to fetch Feature Flag Evaluations. When using the Relay Proxy, change this to: http://localhost:7000 | https://config.ff.harness.io/api/1.0 |
eventUrl | with_events_url("https://events.ff.harness.io/api/1.0") | The URL for posting metrics data to the Feature Flag service. When using the Relay Proxy, change this to: http://localhost:7000 | https://events.ff.harness.io/api/1.0 |
pollInterval | Config(pull_interval=60) | The interval in seconds that we poll for changes when you are using stream mode. | 60 (seconds) |
streamEnabled | with_stream_enabled(True) | Set to True to enable streaming mode. Set to False to disable streaming mode. | True |
analyticsEnabled | with_analytics_enabled(True) | Set to True to enable analytics. Set to False to disable analytics. Note: When enabled, analytics data is posted every 60 seconds. | True |
maxAuthRetries | with_max_auth_retries(10) | The number of retry attempts to make if client authentication fails on a retryable HTTP error | 10 |
For example:
# Create a Feature Flag Client
client = CfClient(apiKey,
with_base_url("https://config.ff.harness.io/api/1.0"),
with_events_url("https://events.ff.harness.io/api/1.0"),
with_stream_enabled(True),
with_analytics_enabled(True),
Config(pull_interval=60))
Evaluate a Flag
Evaluating a Flag is when the SDK processes all Flag rules and returns the correct Variation of that Flag for the Target you provide.
If a matching Flag can’t be found, or the SDK can’t remotely fetch flags, the default value is returned, and an error is logged.
There are different methods for the different Variation types and for each method you need to pass in:
- Identifier of the Flag you want to evaluate
- The Target object you want to evaluate against
- The default Variation
For example:
Evaluate a boolean Variation
result = cf.bool_variation("identifier_of_your_bool_flag", target, False);
Evaluate a string Variation
result = client.string_variation('identifier_of_your_string_flag', target, "")
Evaluate a number Variation
result = client.number_variation('identifier_of_your_number_flag', target, -1)
Evaluate a JSON Variation
client.json_variation('identifier_of_your_json_flag', target, {})
Test your app is connected to Harness
When you receive a response showing the current status of your Feature Flag, go to the Harness Platform and toggle the Flag on and off. Then, check your app to verify if the Flag Variation displayed is updated with the Variation you toggled.
The SDK must run for at least 60 seconds before it sends metrics. Please ensure metrics have not been disabled in the SDK.
Close the SDK Client
In most applications, you won't need to close the SDK client.
However, you should close the SDK client if:
- Your application is about to terminate. Closing the client ensures that all associated resources are released.
- You have determined that you do not need to evaluate flags again in your application lifecycle.
The SDK does not evaluate flags after the client is closed.
To close the SDK client:
Assuming you have initialized an SDK client instance named
client
, call the following function:client.close()
Additional options
Configure your logger
The SDK provides a logger that wraps the standard Python logging package. You can import and use it with the following:
from featureflags.util import log
log.info("Hello, World!")
To change the default log level, you can use the standard logging levels
from featureflags.util import log
import logging
log.setLevel(logging.WARN)
Use the Relay Proxy
When using your Feature Flag SDKs with a Harness Relay Proxy you need to change the default URL and events URL to http://localhost:7000
when initializing the SDK. To do this:
- Import the URL helper functions, for example:
from featureflags.config import with_base_url
from featureflags.config import with_events_url
- Pass the new URLs in when initializing the SDK, for example:
client = CfClient(api_key,
with_base_url("https://config.feature-flags.uat.harness.io/api/1.0"),
with_events_url("https://event.feature-flags.uat.harness.io/api/1.0"))
Sample code for a Python application
Here is a sample code for integrating with the Python SDK:
import time
from featureflags.evaluations.auth_target import Target
from featureflags.client import CfClient
from featureflags.util import log
from featureflags.config import with_base_url
from featureflags.config import with_events_url
def main():
log.debug("Starting example")
api_key = "Your API key"
client = CfClient(api_key,
with_base_url("https://config.ff.harness.io/api/1.0"),
with_events_url("https://events.ff.harness.io/api/1.0"))
target = Target(identifier='HT_1', name="Harness_Target_1", attributes={"location": "emea"})
while True:
result = client.bool_variation('harnessappdemodarkmode', target, False)
log.debug("Result %s", result)
time.sleep(10)
if __name__ == "__main__":
main()
Troubleshooting
The SDK logs the following codes for certain lifecycle events, for example authentication, which can aid troubleshooting.
Code | Description |
---|---|
1000 | Successfully initialized |
1001 | Failed to initialize due to authentication error |
1002 | Failed to initialize due to a missing or empty API key |
1003 | wait_for_initialzation was called and the SDK is waiting for initialzation to complete |
2000 | Successfully authenticated |
2001 | Authentication failed with a non recoverable error |
2002 | Authentication failed and is retrying |
2003 | Authentication failed and max retries have been exceeded |
3000 | SDK Closing |
3001 | SDK closed successfully |
4000 | Polling service started |
4001 | Polling service stopped |
5000 | Streaming service started |
5001 | Streaming service stopped |
5002 | Streaming event received |
5003 | Streaming disconnected and is retrying to connect |
5004 | Streaming stopped |
5005 | Stream is still retrying to connect after 4 attempts |
6000 | Evaluation was successfully |
6001 | Evaluation failed and the default value was returned |
7000 | Metrics service has started |
7001 | Metrics service has stopped |
7002 | Metrics posting failed |
7003 | Metrics posting success |
7004 | Metrics max target size exceeded |
7005 | Metrics batch targets sending success |
7006 | Metrics batch targets sending failed |