Make logging configurable and disabled by default (#9)

CHANGELOG.md

@@ -27,4 +27,8 @@
 - Check that Doppler CLI is installed
 - Add support for CLI and Personal tokens
 - Improved README
-- Fix paths issue preventing wheel build on Windows
+- Fix paths issue preventing wheel build on Windows
+
+## 0.3.1 December 8, 2022
+
+- Logging is now disabled by default and can be enabled by setting the `DOPPLER_ENV_LOGGING` environment variable.

README.md

@@ -1,6 +1,7 @@
 # doppler-env
 
 The doppler-env package automates the injection of Doppler secrets as environment variables into any Python application and works in the terminal, PyCharm, and Visual Studio Code.
+
 ## Motivation
 
 The Doppler CLI provides the easiest method of injecting secrets into your application:
@@ -35,6 +36,12 @@ First, define the `DOPPLER_ENV` environment variable in your IDE, editor, or ter
 export DOPPLER_ENV=1
 ```
 
+You can enable logging for troubleshooting purposes by setting the `DOPPLER_ENV_LOGGING` environment variable:
+
+```sh
+export DOPPLER_ENV_LOGGING=1
+```
+
 Then configure which secrets to fetch for your application by either using the CLI in the root directory of your application:
 
 ```sh
@@ -55,6 +62,8 @@ In restrictive environments where the use of the Doppler CLI isn't possible, set
 
 
 ```sh
+export DOPPLER_TOKEN='dp.st.dev.xxxxxxx'
+
 python app.py
 
 # >> [doppler-env]: DOPPLER_ENV and DOPPLER_TOKEN environment variable set. Fetching secrets from Doppler API

setup.py

@@ -4,7 +4,7 @@
 
 setup(
     name='doppler_env',
-    version='0.3.0',
+    version='0.3.1',
     python_requires='>=3.6',
     description='Inject Doppler secrets as environment variables into your Python application during local development with debugging support for PyCharm and Visual Studio Code.',
     long_description=open('README.md').read(),

src/doppler_env/__init__.py

@@ -12,9 +12,12 @@
 
 from dotenv import load_dotenv
 
+LOGGING_ENABLED = True if os.environ.get('DOPPLER_ENV_LOGGING') is not None else False
+
 
 def log(message):
-    print('[doppler-env]: {}'.format(message))
+    if LOGGING_ENABLED:
+        print('[doppler-env]: {}'.format(message))
 
 
 def print_debug_info(doppler_token=None, project=None, config=None):