Pythonql preprocessor is run, which converts the pythonql syntax to pure python. PythonQL is implemented as a special encoding in a normal python script. Run pip install pythonql to install pythonql for Python2.7, or pip install pythonql3 for Python 3.x. # Basic SQL query, but with some data cleaning res = [ select ( name, sum( price) as sum)įor o in ords let price = try float( o. How to Access Private Github Repo File (. # Basically, some data might be dirty, but you still want to be able to write a simple query from collections import namedtuple ord = namedtuple( 'Order', )Ĭust = namedtuple( 'Cust', )Ĭusts = renard / test-json-query.yml Last active 2 years ago Star 1 Fork 0 Code Revisions 2 Stars 1 Embed Download ZIP Simple jsonquery example with ansible Raw test-json-query. #coding: pythonql # This example illustrates the try-catch business in PythonQL. Simple jsonquery example with ansible GitHub Instantly share code, notes, and snippets. So we can write path expression in the query language (and elsewhere in Python expressions) like this: expr where expr must evaluate to string expr where expr must evaluate to stringĭescendants step: for x in data. Note This module’s encoders and decoders preserve input and output order by default. This module can thus also be used as a YAML serializer. We have modeled our path expression on XPath, however we use a much simplified verison:Ĭhild step: for x in data. json-query Star Here are 2 public repositories matching this topic. Boto3s client and resource interfaces have dynamically generated classes driven by JSON models that describe AWS APIs. The JSON produced by this module’s default settings (in particular, the default separators value) is also a subset of YAML 1.0 and 1.1. Python has pretty advanced comprehensions, that cover a big chunk of SQL, to the point where PonyORM was able to build a whole ORM system based on comprehensions. When working with nested data that has varied structure, path expressions are extremely useful. while if I run the script with the python env installed by 3.8.10 32bit release, it prints Error: sqlite3. PythonQL is an extension to Python that allows language-integrated queries against relational, XML and JSON data, as well an Python's collections. ![]() ![]() ![]() We propose the following extensions to Python( that are implemeneted in this demo preprocessor and query executor): However, group by mechanisms, outerjoins and support for semi-structured data are not handled well at all. Python has pretty advanced comprehensions, that cover a big chunk of SQL, to the point where PonyORM was able to build a whole ORM system based on comprehensions. I am trying to load the following JSON file (from the Google Github repo) in Python as follows: import json import requests url ' r requests.get(url) data r.text.splitlines(True) remove first n lines which is not JSON (commented license) data ''. This should then return, out of the 3 most popular facebook repositories, and out of the 1000 most recent commits, the commit messages which include and exclude fixed and try, respectively.PythonQL is an extension to Python that allows language-integrated queries against relational, XML and JSON data, as well an Python's collections This code should query the github api and filter, out of the last 1000 commits, which ones include and exclude certain words from the top 3 repositories in a given organization.įor example, I could query the endpoint /search with parameters such as org:facebook and include:fixed exclude:try. while if I run the script with the python env installed by 3.8.10 32bit release, it prints Error: sqlite3.OperationalError: no such table: jsontree jsontree and jsoneach are functions that will return virtual table.
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