scheduler-py | A python3 job scheduler with cron expression | Cron Utils library

by mehrdadmhd Python Version: Current License: No License

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kandi X-RAY | scheduler-py Summary

scheduler-py is a Python library typically used in Utilities, Cron Utils applications. scheduler-py has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install scheduler-py' or download it from GitHub, PyPI.

A python3 job scheduler with cron expression

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scheduler-py has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

scheduler-py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of scheduler-py is current.

Quality

scheduler-py has 0 bugs and 0 code smells.

Security

scheduler-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

scheduler-py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

scheduler-py does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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scheduler-py releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 90 lines of code, 12 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Main loop
Run the cron expression
Refresh scheduled jobs
Get the next run
Return True if there is enough time to run
Process cron expression
Read a file

Get all kandi verified functions for this library.

scheduler-py Key Features

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scheduler-py Examples and Code Snippets

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Community Discussions

Trending Discussions on scheduler-py

add body to a cloud scheduler request using the Python API

QUESTION

add body to a cloud scheduler request using the Python API

Asked 2020-May-26 at 18:01

I'm extending off of this question: How to create a job with Google Cloud scheduler Python api

I'm wondering how I can insert a body object to be passed along with the function, I can do it via gcloud, and I know according to the v1 docs that the body needs to be passed in a HttpTarget any time I try to pass it that way it errors and says:

TypeError: No positional arguments allowed

Honestly I haven't been able to get from google.cloud.scheduler_v1.types import HttpTarget as Target to work at all.

Can someone give me an example where they successfully used the API to create a job in the Cloud Scheduler with a body (JSON object) sent with it (POST method of course)?

...

ANSWER

Answered 2020-May-26 at 18:01

import json

from google.cloud import scheduler_v1

client = scheduler_v1.CloudSchedulerClient()

project = "..."  # TODO
location = "..."  # TODO
parent = client.location_path(project, location)

uri = "..."  # TODO
body = {"Hello": "World"}

job = {
    "http_target": {
        "http_method": "POST",
        "uri": uri,
        "headers": {"Content-Type": "application/json"},
        "body": json.dumps(body).encode("utf-8"),
    },
    "schedule": "* * * * *",
}

response = client.create_job(parent, job)

print(response)

Source https://stackoverflow.com/questions/62013163

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

Vulnerabilities

No vulnerabilities reported

Install scheduler-py

You can install using 'pip install scheduler-py' or download it from GitHub, PyPI.
You can use scheduler-py 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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