Configuring the Script Snap to use a configured HTTP proxy environment variable
HTTP-compatible Snap Packs can leverage an HTTP proxy configured in the Snaplex’s Network Proxies configuration tab within the SnapLogic Manager web application. However, the Script Snap is different because you can write Scripts to call external processes (e.g. curl) and these will not be aware of any proxy configuration set within the SnapLogic application. curl can be configured to use a proxy directly via the --proxy argument, but if you wished to enforce that proxy usage across all usages of the Script Snap, you can set the http_proxy and/or https_proxy environment variables within a special file - /etc/sysconfig/jcc . Environment variables declared within this file will be visible to the Snaplex application (OS-level env vars will not be). This file (and directory) may not exist in your Snaplex, so you may have to create them (similar to the instructions on the Configuring a custom JRE version page): sudo mkdir -p /etc/sysconfig; sudo sh -c "echo 'export http_proxy=username:password@proxy-ip-address:port' >> /etc/sysconfig/jcc" substituting the equivalent values for username/password (if authentication is required), proxy-ip-address , and port (you may also want to add https_proxy too). Once this file is created, restart the Snaplex application ( /opt/snaplogic/bin/jcc.sh restart or c:\opt\snaplogic\bin\jcc.bat restart ) and the http_proxy / https_proxy environment variable will now be active within the SnapLogic product. Assuming your proxy is correctly configured, you can then run your Script that calls the external process and, if the process supports using a proxy, it will respect the setting. For example, the following Script Snap (Python) uses the subprocess library to execute curl and adds the response body to the output document. # Import the interface required by the Script snap. from com.snaplogic.scripting.language import ScriptHook import subprocess class TransformScript(ScriptHook): def __init__(self, input, output, error, log): self.input = input self.output = output self.error = error self.log = log # The "execute()" method is called once when the pipeline is started # and allowed to process its inputs or just send data to its outputs. def execute(self): self.log.info("Executing Transform script") while self.input.hasNext(): try: # Read the next input document, store it in a new dictionary, and write this as an output document. inDoc = self.input.next() proc = subprocess.Popen(['curl','https://www.snaplogic.com'], stdout=subprocess.PIPE) (out, err) = proc.communicate() outDoc = { 'original' : out } self.output.write(inDoc, outDoc) except Exception as e: errDoc = { 'error' : str(e) } self.log.error("Error in python script") self.error.write(errDoc) self.log.info("Script executed") # The "cleanup()" method is called after the snap has exited the execute() method def cleanup(self): self.log.info("Cleaning up") # The Script Snap will look for a ScriptHook object in the "hook" # variable. The snap will then call the hook's "execute" method. hook = TransformScript(input, output, error, log) On execution, the proxy access log should show the request being routed through the proxy.Snaplogic API Proxy Use Case/Examples
Hi Everyone, I have a question relating API proxies in SnapLogic. I have now a lot of experience with creating APIs within the SnapLogic Platform and trying to create also Proxies. But was wondering if there are any existing use cases or examples of API proxies in SnapLogic. It’s just to expand my knowledge and to know when it’s better to create an API proxy or an API in SnapLogic. Thanks in advance! Regards Jens
trace API and proxy calls
Hi ! I'm new to Snaplogic and I would like to trace all API and proxy calls in Datadog. Is there a way in SnapLogic to access a list that contains all API and proxy calls that have been made, along with their response codes? Additionally, in order to create a dashboard in Datadog, where can I find the necessary information in SnapLogic to retrieve this data? Thank you for the help !
