scheduler | process python scheduler library with asyncio | Job Scheduling library

 by   DigonIO Python Version: 0.8.7 License: LGPL-3.0

kandi X-RAY | scheduler Summary

kandi X-RAY | scheduler Summary

scheduler is a Python library typically used in Data Processing, Job Scheduling applications. scheduler has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install scheduler' or download it from GitHub, GitLab, PyPI.

A simple in-process python scheduler library with timezone and threading support. Schedule tasks by their time cycles, fixed times, weekdays, dates, weights, offsets and execution counts and automate Jobs.
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            kandi-support Support

              scheduler has a low active ecosystem.
              It has 40 star(s) with 6 fork(s). There are 1 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              scheduler has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of scheduler is 0.8.7

            kandi-Quality Quality

              scheduler has 0 bugs and 0 code smells.

            kandi-Security Security

              scheduler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              scheduler code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              scheduler is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              scheduler 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.
              Installation instructions, examples and code snippets are available.
              It has 4006 lines of code, 201 functions and 55 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed scheduler and discovered the below as its top functions. This is intended to give you an instant insight into scheduler implemented functionality, and help decide if they suit your requirements.
            • Calculate the next execution time
            • Returns the next weekday occurrence in the given time
            • Return the next daily occurrence of the given time
            • Calculate the weekday number of days from the given weekday
            • Return the weekday corresponding to the given value
            • Get the pending timer from the list of timers
            • Checks that the effective timings are unique
            • Checks if times in timestamps are unique
            • Checks if a list of weekday times is unique
            Get all kandi verified functions for this library.

            scheduler Key Features

            No Key Features are available at this moment for scheduler.

            scheduler Examples and Code Snippets

            Create a Scheduler from a dataset id .
            pythondot img1Lines of Code : 118dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def from_dataset_id(processing_mode,
                                service,
                                dataset_id,
                                element_spec=None,
                                job_name=None,
                                consumer_index=None,
                                num_consumers=Non  
            Initialize the scheduler .
            pythondot img2Lines of Code : 35dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self,
                           strategy,
                           cluster_spec,
                           task_type,
                           task_id,
                           session_config=None,
                           rpc_layer="grpc",
                           worker_barrier=None):
                """Initialize the  
            Initialize the scheduler .
            pythondot img3Lines of Code : 32dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self, fetches, contraction_fn):
                """Creates an _ElementFetchMapper.
            
                This is the fetch mapper used for leaves in the fetch struct.  Because of
                the expansions mechanism, a leaf can actually fetch more than one tensor.
            
                Also  

            Community Discussions

            QUESTION

            spark-shell throws java.lang.reflect.InvocationTargetException on running
            Asked 2022-Apr-01 at 19:53

            When I execute run-example SparkPi, for example, it works perfectly, but when I run spark-shell, it throws these exceptions:

            ...

            ANSWER

            Answered 2022-Jan-07 at 15:11

            i face the same problem, i think Spark 3.2 is the problem itself

            switched to Spark 3.1.2, it works fine

            Source https://stackoverflow.com/questions/70317481

            QUESTION

            Enable use of images from the local library on Kubernetes
            Asked 2022-Mar-20 at 13:23

            I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

            currently, I have the right image

            ...

            ANSWER

            Answered 2022-Mar-16 at 08:10

            If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

            Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

            Source https://stackoverflow.com/questions/71493306

            QUESTION

            Minikube always reset to initial state when restart it
            Asked 2022-Mar-07 at 08:38

            I faced this problem since yesterday, no problems before.
            My environment is

            • Windows 11
            • Docker Desktop 4.4.4
            • minikube 1.25.1
            • kubernetes-cli 1.23.3
            Reproduce 1. Start minikube and create cluster ...

            ANSWER

            Answered 2022-Mar-07 at 08:38

            This seems to be a bug introduced with 1.25.0 version of minikube: https://github.com/kubernetes/minikube/issues/13503 . A PR to revert the changes introducing the bug is already open: https://github.com/kubernetes/minikube/pull/13506

            The fix is scheduled for minikube v1.26.

            Source https://stackoverflow.com/questions/70895376

            QUESTION

            How to avoid any binding null error and get code better
            Asked 2022-Feb-25 at 14:48

            I have this code and I am getting this error that I have been trying to solve from 3 to 4 days and I didn't find a solution hope anyone can help me to get a solution to solve this Binding error I am facing.

            /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_navigation/src/extension_navigation.dart:357:24: Warning: Operand of null-aware operation '!' has type 'SchedulerBinding' which excludes null.

            • 'SchedulerBinding' is from 'package:flutter/src/scheduler/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/scheduler/binding.dart'). SchedulerBinding.instance!.addPostFrameCallback((_) { ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_navigation/src/extension_navigation.dart:468:24: Warning: Operand of null-aware operation '!' has type 'SchedulerBinding' which excludes null.
            • 'SchedulerBinding' is from 'package:flutter/src/scheduler/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/scheduler/binding.dart'). SchedulerBinding.instance!.addPostFrameCallback((_) { ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_navigation/src/snackbar/snackbar.dart:452:22: Warning: Operand of null-aware operation '!' has type 'SchedulerBinding' which excludes null.
            • 'SchedulerBinding' is from 'package:flutter/src/scheduler/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/scheduler/binding.dart'). SchedulerBinding.instance!.addPostFrameCallback( ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_state_manager/src/rx_flutter/rx_disposable.dart:20:22: Warning: Operand of null-aware operation '?.' has type 'SchedulerBinding' which excludes null.
            • 'SchedulerBinding' is from 'package:flutter/src/scheduler/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/scheduler/binding.dart'). SchedulerBinding.instance?.addPostFrameCallback((_) => onReady()); ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_state_manager/src/rx_flutter/rx_notifier.dart:130:22: Warning: Operand of null-aware operation '?.' has type 'SchedulerBinding' which excludes null.
            • 'SchedulerBinding' is from 'package:flutter/src/scheduler/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/scheduler/binding.dart'). SchedulerBinding.instance?.addPostFrameCallback((_) => onReady()); ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_state_manager/src/simple/get_controllers.dart:90:20: Warning: Operand of null-aware operation '!' has type 'WidgetsBinding' which excludes null.
            • 'WidgetsBinding' is from 'package:flutter/src/widgets/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/widgets/binding.dart'). WidgetsBinding.instance!.addObserver(this); ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_state_manager/src/simple/get_controllers.dart:96:20: Warning: Operand of null-aware operation '!' has type 'WidgetsBinding' which excludes null.
            • 'WidgetsBinding' is from 'package:flutter/src/widgets/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/widgets/binding.dart'). WidgetsBinding.instance!.removeObserver(this); ^ /C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/get-4.6.1/lib/get_navigation/src/router_report.dart:53:22: Warning: Operand of null-aware operation '!' has type 'WidgetsBinding' which excludes null.
            • 'WidgetsBinding' is from 'package:flutter/src/widgets/binding.dart' ('/C:/src/flutter/packages/flutter/lib/src/widgets/binding.dart'). WidgetsBinding.instance!.addPostFrameCallback((_) { ^ This app is linked to the debug service: ws://127.0.0.1:53736/oionbuT1rro=/ws Debug service listening on ws://127.0.0.1:53736/oionbuT1rro=/ws

            Running with sound null safety Debug service listening on ws://127.0.0.1:53736/oionbuT1rro=/ws Error: Assertion failed: file:///C:/src/flutter/.pub-cache/hosted/pub.dartlang.org/firebase_core_web-1.5.4/lib/src/firebase_core_web.dart:273:11 options != null "FirebaseOptions cannot be null when creating the default app." at Object.throw_ [as throw] (http://localhost:53548/dart_sdk.js:5066:11) at Object.assertFailed (http://localhost:53548/dart_sdk.js:4991:15) at firebase_core_web.FirebaseCoreWeb.new.initializeApp (http://localhost:53548/packages/firebase_core_web/firebase_core_web.dart.lib.js:252:42) at initializeApp.next () at http://localhost:53548/dart_sdk.js:40547:33 at _RootZone.runUnary (http://localhost:53548/dart_sdk.js:40417:59) at _FutureListener.thenAwait.handleValue (http://localhost:53548/dart_sdk.js:35361:29) at handleValueCallback (http://localhost:53548/dart_sdk.js:35907:49) at Function._propagateToListeners (http://localhost:53548/dart_sdk.js:35945:17) at _Future.new.[_completeWithValue] (http://localhost:53548/dart_sdk.js:35793:23) at async._AsyncCallbackEntry.new.callback (http://localhost:53548/dart_sdk.js:35814:35) at Object._microtaskLoop (http://localhost:53548/dart_sdk.js:40684:13) at _startMicrotaskLoop (http://localhost:53548/dart_sdk.js:40690:13) at http://localhost:53548/dart_sdk.js:36167:9

            ...

            ANSWER

            Answered 2022-Feb-22 at 11:50

            This happend to me when I updated Dart SDK to Beta channel, If you also updated your Dart sdk try to downgrade your Dart sdk from Beta channe; to the Stable Channel Dart version.

            The commend to downgrade your dart is

            Source https://stackoverflow.com/questions/71128613

            QUESTION

            Python APScheduler fails: 'Only timezones from the pytz library are supported' error
            Asked 2022-Feb-24 at 10:31

            I am trying to run a python async app with an asyncioscheduler scheduled job but the APScheduler fails during build because of this error:

            'Only timezones from the pytz library are supported' error

            I do include pytz in my app and i am passing the timezone. What is causing the error?

            I am calling the asyncioscheduler in a class where i create job manager:

            ...

            ANSWER

            Answered 2021-Aug-18 at 16:21

            Ok so it required a dependency tzlocal==2.1 so it could get local timezone, i assume for some reason the version that the module has does not work on my system

            Source https://stackoverflow.com/questions/68832550

            QUESTION

            Understand DispatchTime on M1 machines
            Asked 2022-Jan-19 at 09:23

            In my iOS project were were able to replicate Combine's Schedulers implementation and we have an extensive suit of testing, everything was fine on Intel machines all the tests were passing, now we got some of M1 machines to see if there is a showstopper in our workflow.

            Suddenly some of our library code starts failing, the weird thing is even if we use Combine's Implementation the tests still failing.

            Our assumption is we are misusing DispatchTime(uptimeNanoseconds:) as you can see in the following screen shot (Combine's implementation)

            We know by now that initialising DispatchTime with uptimeNanoseconds value doesn't mean they are the actual nanoseconds on M1 machines, according to the docs

            Creates a DispatchTime relative to the system clock that ticks since boot.

            ...

            ANSWER

            Answered 2021-Nov-30 at 15:29

            I think your issue lies in this line:

            Source https://stackoverflow.com/questions/70171671

            QUESTION

            Google Scheduled functions: There was an error deploying functions?
            Asked 2021-Dec-31 at 16:40

            I have a fresh project but was looking to test scheduled functions. Am I missing anything?

            ...

            ANSWER

            Answered 2021-Nov-20 at 04:06

            When you are using scheduled functions in Firebase Functions, an App Engine instance is created that is needed for Cloud Scheduler to work. You can read about it here.They use the location that has been set by default for resources. I think that you are getting that error because there is a difference between the default GCP resource location you specified and the region of your scheduled cloud function. If you click on the cogwheel next to project-overview in Firebase you can see where your resources are located.

            Check your Cloud Scheduler function details and see which region it has been deployed to. By default, functions run in the us-central1 region. Check this link to see how we can change the region of the function.

            Source https://stackoverflow.com/questions/69945493

            QUESTION

            Why there are multiple calls to DB
            Asked 2021-Dec-18 at 08:50

            I am playing with R2DBC using Postgre SQL. The usecase i am trying is to get the Film by ID along with Language, Actors and Category. Below is the schema

            this is the corresponding piece of code in ServiceImpl

            ...

            ANSWER

            Answered 2021-Dec-17 at 09:28

            I'm not terribly familiar with your stack, so this is a high-level answer to hit on your "Why". There WILL be a more specific answer for you, somewhere down the pipe (e.g. someone that can confirm whether this thread is relevant).

            While I'm no Spring Daisy (or Spring dev), you bind an expression to filmMono that resolves as the query select film.* from film..... You reference that expression four times, and it's resolved four times, in separate contexts. The ordering of the statements is likely a partially-successful attempt by the lib author to lazily evaluate the expression that you bound locally, such that it's able to batch the four accidentally identical queries. You most likely resolved this by collecting into an actual container, and then mapping on that container instead of the expression bound to filmMono.

            In general, this situation is because the options available to library authors aren't good when the language doesn't natively support lazy evaluation. Because any operation might alter the dataset, the library author has to choose between:

            • A, construct just enough scaffolding to fully record all resources needed, copy the dataset for any operations that need to mutate records in some way, and hope that they can detect any edge-cases that might leak the scaffolding when the resolved dataset was expected (getting this right is...hard).
            • B, resolve each level of mapping as a query, for each context it appears in, lest any operations mutate the dataset in ways that might surprise the integrator (e.g. you).
            • C, as above, except instead of duplicating the original request, just duplicate the data...at every step. Pass-by-copy gets real painful real fast on the JVM, and languages like Clojure and Scala handle this by just making the dev be very specific about whether they want to mutate in-place, or copy then mutate.

            In your case, B made the most sense to the folks that wrote that lib. In fact, they apparently got close enough to A that they were able to batch all the queries that were produced by resolving the expression bound to filmMono (which are only accidentally identical), so color me a bit impressed.

            Many access patterns can be rewritten to optimize for the resulting queries instead. Your milage may vary...wildly. Getting familiar with raw SQL, or else a special-purpose language like GraphQL, can give much more consistent results than relational mappers, but I'm ever more appreciative of good IDE support, and mixing domains like that often means giving up auto-complete, context highlighting, lang-server solution-proofs and linting.

            Given that the scope of the question was "why did this happen?", even noting my lack of familiarity with your stack, the answer is "lazy evaluation in a language that doesn't natively support it is really hard."

            Source https://stackoverflow.com/questions/70388853

            QUESTION

            kubelet won't start after kuberntes/manifest update
            Asked 2021-Nov-16 at 10:01

            This is sort of strange behavior in our K8 cluster.

            When we try to deploy a new version of our applications we get:

            ...

            ANSWER

            Answered 2021-Nov-15 at 17:56

            Posting comment as the community wiki answer for better visibility

            This issue was due to kubelet certificate expired and fixed following these steps. If someone faces this issue, make sure /var/lib/kubelet/pki/kubelet-client-current.pem certificate and key values are base64 encoded when placing on /etc/kubernetes/kubelet.conf

            Source https://stackoverflow.com/questions/69923716

            QUESTION

            Borsh Serialization fails in React Application
            Asked 2021-Oct-26 at 04:27

            This script fails to deserialize my Object. Error was TypeError: this.buf.readUInt32LE is not a function

            ...

            ANSWER

            Answered 2021-Oct-26 at 04:27

            I looked at the dependencies in the codesandbox page and it imports globally the buffer package. I tried doing the same locally with require('buffer/'), but no luck. However, it works using it as const Buffer = require('buffer/').Buffer and calling the method Buffer.from to get the buffer from the serialized data.

            Source https://stackoverflow.com/questions/69687394

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

            Vulnerabilities

            No vulnerabilities reported

            Install scheduler

            scheduler can be installed using pip with the following command:.

            Support

            The API documentation can either be viewed online or generated using Sphinx with numpydoc formatting. To build, run:.
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            Install
          • PyPI

            pip install scheduler

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          • HTTPS

            https://github.com/DigonIO/scheduler.git

          • CLI

            gh repo clone DigonIO/scheduler

          • sshUrl

            git@github.com:DigonIO/scheduler.git

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