jmespath.py
dacite
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jmespath.py | dacite | |
---|---|---|
30 | 4 | |
2,049 | 1,639 | |
1.8% | - | |
0.0 | 3.2 | |
9 days ago | 4 months ago | |
Python | Python | |
MIT License | MIT License |
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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.
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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!
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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 ).
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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.
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jmespath.py VS jertl - a user suggested alternative
2 projects | 31 Oct 2022
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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.
- Ask HN: What is something you built but never marketed?
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I wrote a JSON parsing library that makes it easy to query and even do arithmetic operations on JSON.
We also have jmespath
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Type-Checked Keypaths in Rust
JMESPath is what JSONPath should have been
specified, standardized, with tests and implementations for multiple languages
dacite
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What's the difference between using and not using wrapper libraries for APIs?
This is a good approach, but FYI there are already very good libraries that can be used to create objects from JSON/dicts in a similar way to your example, like dacite or pydantic. A lot of boilerplate can be avoided with these.
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Master Dataclasses in Python Part 1 - Basic Structure and Validation
You also can't read any nested dataclassed from a dictionary. dacite! will help with this, but witihout it you can't just initialize it with NestedDataclass(**some_dict) or somethings like this. In the way it works for Plain dataclass.
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A look the new pattern matching in Python 3.10.0a6
There are also tools such as dacite and desert, which take a different approach to dealing with serialized data
What are some alternatives?
pydantic - Data validation using Python type hints
dataclasses-json - Easily serialize Data Classes to and from JSON
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
jq - Command-line JSON processor
python-youtube - A simple Python wrapper for YouTube Data API :sparkles: :cake: :sparkles: .
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jfq - JSONata on the command line
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
dataclassy - A fast and flexible reimplementation of data classes
cloud-custodian - Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources