dc25 | git push | Learning library
kandi X-RAY | dc25 Summary
kandi X-RAY | dc25 Summary
This git push is our final "after-talk" update. On or before 14 August 2017, we will make a push to github.com accordingly. As Jack64 and I are in different timezones, I don't know if he is planning on pushing OOBackdoor to his repository or our shared repoistory, thus you will see two links for OOBackdoor, check them both and one of them will work. For the video files that were owed at the workshop, please pull: To those who came to our workshop, thank you so much. This was our first time submitting to Defcon and each and everyone of you were interested, you asked questions, you made the class. From both of us, Thank You.
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Top functions reviewed by kandi - BETA
- Process a given packet
- Process packet
- The request extractor
- Gets the injection parameter
dc25 Key Features
dc25 Examples and Code Snippets
Community Discussions
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QUESTION
I'm using Gatling to test API's and I have to extract an ID from a JSON and store it in a variable, but Gatling doesn't support this: "$.[?(@.name == 'manage-account')].id"
How can I find the ID that belongs to 'manage-account'?
The JSON looks like this:
...ANSWER
Answered 2020-Dec-02 at 16:47JsonPath currently lacks a proper spec, so syntax interpretation differs from one implementation to another.
Here, you should be using $..*[?(@.name == 'manage-account')].id
: you want recursive descent (..
) and match any node (*
) that matches your filter.
If you want to stop suffering from those differences, I would recommend switching to JMESPath instead, see our blog. The main thing JMESPath lacks comparing to JsonPath is recursive descent, which is convenient but has poor performance. You have to specify the full path.
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Install dc25
You can use dc25 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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