Groovy Download File From Url With Authentication
Maria Haq
i get this errors:
groovyx.net.http.HttpResponseException: Unauthorized at groovyx.net.http.HTTPBuilder.defaultFailureHandler(HTTPBuilder.java:651) at groovyx.net.http.HTTPBuilder$1.handleResponse(HTTPBuilder.java:503) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:222) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:164) at groovyx.net.http.HTTPBuilder.doRequest(HTTPBuilder.java:515) at groovyx.net.http.HTTPBuilder.get(HTTPBuilder.java:285) at groovyx.net.http.HTTPBuilder.get(HTTPBuilder.java:255) at groovyx.net.http.HTTPBuilder$get$0.call(Unknown Source) at Script146.run(Script146.groovy:8)
I don't know what to do with that :( I think that is because of that my jira instance is on HTTPS not HTTP but i am not sure, can somebody help me?
setHTTPProxy(host, port [,user, pass]) Specify an HTTP proxy to use for object get and post requests. If user and password are passed with credentials, only support BASIC authentication method
I spent a lot of time researching / testing for a resolution but was unable to find one. I saw the script samples to run on MID as a connector, using groovy, to pull events into EM but not to post events from a monitoring tool. Unfortunately, I was working with a tool that did not offer many other options. I had to use the provided script, as it does a lot of de-duplication and cuts down the "noise" of what is posted to SNOW EM. This is ideal, as we are suppressing noise as close to the source as possible.
My problem was simple, I had a groovy script built for the monitoring tool that was written to pass the events from that monitoring tool to a custom built MOM (Manager of Manager) but the POST portion of the script did not use any authentication. In ServiceNOW EM, I needed to authenticate before posting the event data to appropriate fields.
It was confusing to me, to read lots of other scripts that had snippets of code to perform various authentication using Username and Password declared as variables and then passing them into a block of code, with scrambling the password before passing it to a POST statement.
I will ask the vendor, since the script is not something that I have developed. Only part I was responsible for, was to map the data fields from ServiceNOW EM and post the data to using their, provided, groovy script.
I am trying to set basic authentication in all requests across multiple test suites in a REST project. To achieve that I am using a groovy script(kept in a different test suite), to set the username, password and endpoint for all requests.
This blog post explains on how to authenticate into different cloud receiver user sub-accounts in the target system based on the information in the JSON payload of the incoming HTTPS request using dynamic value mapping with the groovy script. Please note that you will have to hold the encrypted user accounts in value mapping tables and decrypt them in groovy scripts if additional layers of security measures are required or we need to add OAuth/Mutual certificate based authentication on the sender layer to ensure that only right sending systems are accessing this service especially when the target system hosts confidential PI data . This blog post should be used only for demo purposes and you will have to vet with your security experts to ensure that it is in line with your organisation security policies.
If we use Value mapping when customer wants to add new account just we can add those new account keys to Value mapping without changing IFLOW, automatically groovy script will fetch those details from Value Mapping.
Allows various kinds of credentials (secrets) to be used in idiosyncratic ways. (Some steps explicitly ask for credentials of a particular kind, usually as a credentialsId parameter, in which case this step is unnecessary.) Each binding will define an environment variable active within the scope of the step. You can then use them directly from any other steps that expect environment variables to be set:
The secret(s) will be masked (****) in case they are printed to the build log. This prevents you from accidentally disclosing passwords and the like via the log. (Bourne shell set +x, or Windows batch @echo off, blocks secrets from being displayed in echoed commands; but build tools in debug mode might dump all environment variables to standard output/error, or poorly designed network clients might display authentication, etc.) The masking could of course be trivially circumvented; anyone permitted to configure a job or define Pipeline steps is assumed to be trusted to use any credentials in scope however they like.
When setting up Apereo CAS to delegate authentication to external identity providers, it may be desirable to manipulate the claims and attributes received from the identity provider to transform values from one syntax to another. For example, an identity provider might return the attribute employeeId with the value of EMPL-123456 back to CAS whereupon custom extraction logic would capture that attribute value as 123456 instead, and would record it under a new name, employeeReference to be used for release to client applications.
As it stands out, delegated authentication and attribute extraction in CAS is handled by the Pac4j library, which provides a flexible way for us to collect attributes from the response. For example, in its simplest form we could instruct CAS to capture the attribute phone from the profile and record it under the same name:
For more information about GITHUB_TOKEN used in GitHub Actions workflows, see "Automatic token authentication." For more information about using GITHUB_TOKEN with Gradle, see "Publishing Java packages with Gradle."
The following example scripts show how to get the value (passwd) from a secret ID named scripted.node.secret.id. They use the value in a basic authentication header to access the -auth/user/passwd service:
Groovy provides a groovy.sql.DataSet class which enhances the groovy.sql.Sql classwith what can be thought of as mini ORM functionality.Databases are accessed and queried using POGO fields and operators rather than JDBC-level API calls and RDBMS column names.
As Gradle prefers to use modules whose descriptor has been created from real meta-data rather than being generated, flat directory repositories cannot be used to override artifacts with real meta-data from other repositories declared in the build.
When configuring a repository using HTTP or HTTPS transport protocols, multiple authentication schemes are available. By default, Gradle will attempt to use all schemes that are supported by the Apache HttpClient library, documented here. In some cases, it may be preferable to explicitly specify which authentication schemes should be used when exchanging credentials with a remote server. When explicitly declared, only those schemes are used when authenticating to a remote repository.
security.groovy defines a single Groovy class that must implement a certain API. By providing your own implementation of its methods, you will be able to handle authentication and authorization in a very flexible way: be it with database queries over a custom schema, LDAP/Active Directory, Single Sign-On, or any other method.
The default application comes with a minimal security.groovy that only knows about a hardcoded admin/admin user. However, if you create a new application using the wizard and specify the database tables containing users and roles (more info), a sample security.groovy file is created, replacing the default one. You can use it as a starting point, but you should customize it before deploying your application in production. In particular, be aware that the generated security.groovy will still allow users to log in as admin/admin!
security.groovy must define a single public class implementing the interface com.manydesigns.portofino.shiro.ApplicationRealmDelegate. In most cases, though, you should extend the class com.manydesigns.portofino.shiro.AbstractApplicationRealmDelegate that implements the boilerplate needed to handle different authentication methods (such as username+password or OpenID), built-in groups, etc.
As with most plugins, your first step will be to install the Spring Security plugin. Of course, you'll need a project to install it into and for this article I have provided a simple Twitter-clone called Hubbub (based on the sample application from Grails in Action). You can also get the finished project from here.
If you look at the output generated by the plugin installation, you will see that it provides a couple of commands. The most important of these is s2-quickstart, which will help you get up and running with the minimum of fuss. It generates both the basic domain classes you need to store user information and the controllers that handle authentication.
With the Spring Security plugin this is trivial to achieve, although you do have to make a decision on which of three mechanisms to use. You can take a controller-centric approach and annotate the actions; work with static URL rules in Config.groovy; or define runtime rules in the database using request maps.
Do you want to update URL rules at runtime without restarting the application? If that's the case, you'll probably want to use request maps, which are basically URL rules stored in the database. To enable this mechanism, add the following to Config.groovy:
Which of these approaches should you use? It depends on how your application is set up and how you think about access control. Annotations make sense where rules apply on a per-controller basis and controllers have distinct URLs. If you tend to group controllers under a single URL, like /admin/ or you simply like to keep all your rules in one place, then you're probably better off with the static rules defined in Config.groovy. The third mechanism, request maps, only make sense if you want to add, change, or remove rules at runtime. A classic example where you might want to do this is in a CMS application, where URLs themselves are defined dynamically.
df19127ead