Remove those characters from the work data.Extract all characters up to, and including, the period.Locate the position of the first period.The general idea is (working from the left to right): I've attached a simple example process that I believe addresses your requirements as we know them now. You can do this with existing Calculation and Decision stages in Blue Prism though. Notice the semicolon inserted between the "c" and "x" on "docx". In other words, if we take the example you provided and we think through how the replacement will work the final string will look something like this: As for Kishore's solution, you'll run into an issue when you try to match on. Devneet has called out the issues with his RegEx design. I think both solutions provided below will get you most of the way, but there are shortcomings in both solutions. The pattern of file names can vary everytime. I have a text that contains different file names along with their extensions(pdf, docx,doc). Subject: Split text based on certain characters Will that be the case in production? Will pdf, doc, and docx be the only file extensions you'll be dealing with? Are you sure every file name in the original string will have an extension? In your examples each of your file names starts with a capital "L". In the end, we created a tool capable of emulating the load generated by real digital workers and sending it to the Blue Prism RPA servers.Subject: Split text based on certain VERMA,įirst, you need to determine if there's a repeatable pattern that you can use. To verify the response body, we used JMeter Assertions. Surprisingly, every TCP request with a valid structure received code 200 as a response, so the text content did not matter. Additionally, the script included preprocessors for parameterization and postprocessors for correlation. In the end, the load script consisted of a package with TCP samplers, where the body was a hex string. Later, we also read and controlled hex stings ourselves. The traffic analyzer output was a hex string of the sent bytes.Īt first, we used a self-written converter for parameterization. Basically, TCP requests are structured around the connection of the address, the quantity of bytes being sent, the body as a byte string, and the sign of request end. To simplify the process, we changed the performance testing mode to insecure and recorded traffic with Wireshark since. Through our research, we found out that the system was using a. We also had to decide how to scale, either by increasing the system servers’ capabilities or by scaling the architecture-that is, by deploying additional instances of the system.Īt the beginning, we had no information on communication between virtual users and the server, so it was a black box. Professional advice is more useful than the seller’s promise that your system will endure twice its maximum load. Obviously, our client’s experience shows that it is recommended that you check your system capacity before buying software. When around 400 Blue Prism virtual employees were active simultaneously, the system load reached 100%, and it would no longer respond. For instance, if a process creates and consumes queue elements saved in a database, it generates a much heavier load on application servers and the database, as opposed to supporting processes that work autonomously.Īnother problem was that the client had prepaid 1,000 digital workers, while the system had a maximum capacity of 500. Second, test indicators directly depend on the complexity of the processes executed, and the testing results cannot be solid without a specific load. The connection of new regional banks and processes to the system changes the load testing profile, which can critically affect system performance. The test results were valid only at the moment of generation. Unfortunately, they were of no use at all.įirst, the data was out of date, as processes tend to update on a regular basis. The client gave us the results of a load testing of the system that they performed using their own capacities.
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