structured-text-tools
jmespath.py
structured-text-tools | jmespath.py | |
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13 | 30 | |
6,870 | 2,081 | |
- | 1.5% | |
8.1 | 0.0 | |
29 days ago | about 1 month ago | |
Python | ||
- | MIT License |
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structured-text-tools
- Command line tools for manipulating structured text data
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creating a text file in Linux
This works well in scripts and logs of all the commands you need to do to reproduce the current state of the system from a scratch install. Also can be used with diff -u and patch, sed, perl, and awk oneliners and structured text tools. You can also capture most of the commands using sudo logging feature but it won't capture the here documents. But for modest size files you can use newlines in echo commands. Note that commands which use redrection should use something like ~~~~ sudo bash -c "echo 'foo' >>file.txt" ~~~~ instead of "sudo echo foo >>file.txt" or "echo foo | sudo tee -a file.txt
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Using Commandline to Process CSV Files
TFA is about how to handle csv files with awk. This might be useful in straightforward cases.
For all others Iād recommend to have a look at
https://github.com/dbohdan/structured-text-tools
which lists tools to handle structure text formats
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Combine multiple files
in general, I'd pick something from https://github.com/dbohdan/structured-text-tools
- Show HN: Xq ā command-line XML and HTML beautifier and content extractor
- structured-text-tools: A list of command line tools for manipulating structured text data
- A list of command line tools for manipulating structured text data
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What is your favourite Linux backup software and why?
Also, here is a list of structured text tools. You may find some tools there that are helpful in editing configuration files from the command line. Or you can use "diff -u" to create a patch file (you need to save the patch files along with sudo.log) to recreate. Also, use sfdisk --dump and sfdisk --backup to save partition information in a form that can be used to recreate backups.
jmespath.py
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Automating Nightly Local Database Refreshes from Azure Blob Storage with Docker
The Azure CLI lets us write queries to filter the results of the az storage blob list command. The queries are written in JMESPath, which is a query language for JSON. In this case, we are filtering the results to only include blobs that end with the .bacpac extension and then selecting the first one as ordered by the lastModified property. If there are no blobs found, the script exits with a failure code. If we find a blob, we download it to the local path specified by the localPath variable.
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What's New in Python 3.12
For JSON there is the `jmespath` library which might help.
https://github.com/jmespath/jmespath.py
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jq 1.7 Released
I love jq, but I also use JMESPath (especially with AWS CLI), yq (bundled with tomlq and xq as well), and dasel [2]. I also wish hclq [3] wasn't so dead!
[0]: https://jmespath.org/
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Announcing serde-query 0.2.0
Probably writing the query side of things is a lot of the fun here, but there is actually a spec (and a complying Rust impl) you can hook into for this JQ-like querying: https://jmespath.org/ ( https://github.com/jmespath/jmespath.rs ).
- JMESPath
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Spring Boot logging with Loki, Promtail, and Grafana (Loki stack)
Thanks to custom variables that use labels, we can create various filters for the dashboard. You can look up my configuration of variables and extend it with an analogy way for your own needs. At the top, I marked the filter with detected pods in selected namespace. In the lower part, you can see a preview of all labels that are associated with a single log line. Most labels are meta information that Promtail adds during scraping targets. This part of the Promtail configuration provides it. In this section, I also marked a few labels that not comes out-of-the box e.g. leavel , class , thread . We added these labels using the Promtail json stage. You need to know that Promtail processes scraped logs in a pipeline. A pipeline is comprised of a set of stages. json stage is a parsing stage that reads the log line as JSON and accepts JMESPath expressions to extract data.
- Who is JSON?
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jmespath.py VS jertl - a user suggested alternative
2 projects | 31 Oct 2022
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YAML value retrieval
The tester on the official website for JMESPath (what json_query is doing) has been useful to me: https://jmespath.org/
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I've built a PathDict, a library that makes it easy to work with dicts!
Interesting. How does this compared to Jmespath? Not saying Jmespath is superior, just wondering whether you were aware of it.
What are some alternatives?
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
jq - Command-line JSON processor
python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
concise-encoding - The secure data format for a modern world
jfq - JSONata on the command line
datasette - An open source multi-tool for exploring and publishing data
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
awesome-cli-apps - š„ š š¹ š A curated list of command line apps
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents