To effectively use this repository, it's beneficial to have a foundational understanding of basic gRPC functionality and experience working with gRPC in Python. Familiarity with concepts such as gRPC services, protocol buffers, and the structure of gRPC-based applications will enhance your ability to leverage the tools and code provided here.

""" This code demonstrates the usage of feature flags with the Flipt service running as a Docker container.

Feature flags are a software development technique that allows you to enable or disable certain features in your application without deploying new code. Flipt is a feature flagging service that provides a centralized way to manage and control feature flags.

In this code, we are using Flipt to check the status of a feature flag before executing a specific block of code. The Flipt service is assumed to be running as a Docker container.

To use this code, make sure you have the Flipt service running as a Docker container and configure the necessary connection details in the code. Then, you can use the is_feature_enabled function to check the status of a feature flag before executing the corresponding code.

Note: This code assumes that you have already set up the necessary feature flags and configurations in the Flipt service.

For more information on feature flags and Flipt, refer to the documentation:

• Feature flags: https://en.wikipedia.org/wiki/Feature_toggle
• Flipt: https://flipt.io/

"""

def is_feature_enabled(feature_flag: str) -> bool: """ Check if a feature flag is enabled.

Args:
    feature_flag (str): The name of the feature flag to check.

Returns:
    bool: True if the feature flag is enabled, False otherwise.
"""
# Implementation code here
pass

if is_feature_enabled("my_feature"): # Execute code for enabled feature pass else: # Execute code for disabled feature pass

• Refer related files in /backend/feature_flag and /unstract/flags

• Set required variables in backend .env to utilize feature flags:

  EVALUATION_SERVER_IP= EVALUATION_SERVER_PORT=

  These variables has to set the FLIPT server values.

• Generate python files for gRPC using .proto file inside feature_flags app with protoc The generated files have suffix with pb, indicating proto buffer files

  
  python -m grpc_tools.protoc -I protos --python_out=. --grpc_python_out=. protos/evaluation.proto
  
  protoc --python_out=./protos protos/evaluation.proto
  
  

The first command (python -m grpc_tools.protoc ...) generates the gRPC Python files (_pb2.py and _pb2_grpc.py) based on the evaluation.proto file located in the protos directory.

The second command (protoc --python_out=./protos ...) generates the standard Python files (_pb2.py) based on the same evaluation.proto file.

After running the compilation commands, you can use the generated files in your Python project to implement gRPC client and server functionality. Refer to the generated files for the specific classes and methods available for use.