courtlistener | accessible archive of court data | Dataset library

by freelawproject Python Version: v2.0.31 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | courtlistener Summary

courtlistener is a Python library typically used in Artificial Intelligence, Dataset applications. courtlistener has no bugs, it has no vulnerabilities and it has low support. However courtlistener build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Started in 2009, CourtListener.com is the main initiative of Free Law Project. The goal of CourtListener.com is to provide high quality data and services.

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Quality

Security

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Support

courtlistener has a low active ecosystem.

It has 371 star(s) with 120 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 374 open issues and 1304 have been closed. On average issues are closed in 361 days. There are 37 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of courtlistener is v2.0.31

Quality

courtlistener has 0 bugs and 0 code smells.

Security

courtlistener has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

courtlistener code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

courtlistener has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

courtlistener releases are not available. You will need to build from source code and install.

courtlistener has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed courtlistener and discovered the below as its top functions. This is intended to give you an instant insight into courtlistener implemented functionality, and help decide if they suit your requirements.

Return a list of judges
Make a GET query string
Get a value from a mapping
Make a title for a person
Render the results of a search
Check if the given request is a bot
Returns a boolean indicating if the given bot matches a known bot
Return the count of a stat
Fetches the docket for the given fq
View a person
Get the title of a referer
Process a RECAP claim
Toggle Docket alert confirmation
Process a RECAP ZIP archive
Register a new user
Process the Appellate Docket item
Validates upload fields
Returns a dictionary representation of the object
Block the opinion for the given content
Translates a string into Bankrupts
Return a search list
Return a search dictionary
Runs the handler
Check if the feed has changed
Process email notification
Parses a file into a dictionary

Get all kandi verified functions for this library.

courtlistener Key Features

No Key Features are available at this moment for courtlistener.

courtlistener Examples and Code Snippets

No Code Snippets are available at this moment for courtlistener.

Community Discussions

Trending Discussions on courtlistener

How do I use python or jq to merge multiple JSON files with uniform columns into one CSV?

What is date range format for Juriscraper REST API?

How to convert one key/value of JSON files to .txt files?

QUESTION

How do I use python or jq to merge multiple JSON files with uniform columns into one CSV?

Asked 2021-Nov-19 at 09:35

I am trying to make Primary Source American Law more American with Disabilities Act (ADA), more compliant for my Study.

The technical question is in the topic.

The source files I am using are found here: https://www.courtlistener.com/api/bulk-data/opinions/wash.tar.gz

A sample JSON file within that archive (which contains 52,565 Washington State Supreme Court Judicial Opinions),

987095.json is an example with the following "elements" (I want to carry the element names over as column names while providing a new id for record count; rather than source database id column):

Using Dadroit Viewer 1.5 Build 1935.appimage to view the JSON data easiest for me.

I extracted the following data (the bottom opinions_cited has [] brackets with 0 - 28 in them; and I expect each JSON to have different numbers of opinions_cited ; anyone from 0 to 1000 or more perhaps); I don't know the most cases cited in a Judicial Opinion.

Extracted from JSON:

...

ANSWER

Answered 2021-Nov-19 at 09:35

Here is a fast solution using jq. It requires hardly any memory, but there is general caveat and one potential complication.

The caveat is that it has been assumed that the "joined_by" array can be flattened into a string using "; " as a separator.

The complication is that some CSV parsers require a "rectangular" structure. In the first potential solution below, the header that is generated will only take into account the length of the "opinions_cited" array in the first file that is presented. If later JSON files contain more "opinions_cited", the rows will still be correct, but the header will not take them into account.

If the header is an issue, then you might wish to consider a two-pass solution to avoid memory issues. As shown in Part 2 of this answer, the first pass would be responsible for determining the maximum array length, and in the second pass, this value would be used to determine the appropriate headers.

You might also wish to consider a post-processing "fixup".

For testing, I'd suggest using a truncated version of topKeys, e.g.

Source https://stackoverflow.com/questions/70011869

QUESTION

What is date range format for Juriscraper REST API?

Asked 2020-Dec-23 at 13:52

I phrased this question in a specific manner, but I'm more interested in how one generally approaches the problem of figuring out the input parameters for an API. I am trying to filter by date_created__range for the option endpoint in this API and I can't figure out how it wants the date range formatted. They specify that they use the ISO-8601 format, but I have tried all the following to no avail:

I've also tried with those date ranges reversed. All of these fail with the message "Enter a valid date/time." I've even tried downloading the source code for the API and searching through it, but I haven't found anything relevant to this question. How would you go about figuring this out?

...

ANSWER

Answered 2020-Dec-23 at 13:52

I tried this and it might be what you're looking for!

https://www.courtlistener.com/api/rest/v3/opinions/?date_created__range=2013-01-01T00:00:00Z,2013-01-03T00:00:00Z

For reference on process, I just copied one of the dates they used in their example date_modified query curl https://www.courtlistener.com/api/rest/v3/dockets/?court__date_modified__gt=2013-01-01T00:00:00Z and added a second one separated by a comma, since you had already tried dashes, periods, and a slash.

Source https://stackoverflow.com/questions/65425119

QUESTION

How to convert one key/value of JSON files to .txt files?

Asked 2020-Nov-10 at 05:22

I have ~400,000 JSON files. There is one key/value that I would like to extract into a .txt file for each JSON. (1 text file for each JSON. All JSON files are formatted the same.) I've looked into various options using python's pandas and json.loads, but I haven't been able to find a solution that works. (Below I'll include a shortened sample JSON file as an example, in case it's helpful. I want to extract "plain_text".)

...

ANSWER

Answered 2020-Nov-08 at 00:31

If your JSON is in the right format you can use JSON library to load the JSON as a dictionary and then each key in JSON is a key in the dictionary:

Source https://stackoverflow.com/questions/64733686

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install courtlistener

You can download it from GitHub.
You can use courtlistener 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.