prometheus | flask web app that analyzes your stock portfolio performance | Business library

 by   nerevu Python Version: Current License: No License

kandi X-RAY | prometheus Summary

kandi X-RAY | prometheus Summary

prometheus is a Python library typically used in Web Site, Business applications. prometheus has no bugs, it has no vulnerabilities, it has build file available and it has high support. You can download it from GitHub.

A flask web app that analyzes your stock portfolio performance, optimizes your asset allocation, and provides performance enhancement alerts.

            kandi-support Support

              prometheus has a highly active ecosystem.
              It has 23 star(s) with 21 fork(s). There are 4 watchers for this library.
              It had no major release in the last 6 months.
              prometheus has no issues reported. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of prometheus is current.

            kandi-Quality Quality

              prometheus has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              prometheus 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.

            kandi-Reuse Reuse

              prometheus releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 1651 lines of code, 130 functions and 29 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed prometheus and discovered the below as its top functions. This is intended to give you an instant insight into prometheus implemented functionality, and help decide if they suit your requirements.
            • Get price list
            • Get group id
            • Extract data for symbol
            • Get prices for symbol
            • Extend pandas dataframe
            • Concatenate two DataFrames
            • Join the dataframe together
            • Reindex the dataframe
            • Compute the share basis
            • Get the variables for a table
            • Get the share value
            • List of currencies
            • Create a new form
            • List of commodity types
            • Return a list of the event
            • Create a new Commodity type
            • Create a new commodity type
            • List of securities supported by the user
            • Return a json representation of the wages
            • Get the earliest prices for the given symbols
            • Return a new DataObject with reindexed data
            • Get the first price
            • Calculates the total number of shares owned by the dividend
            • Create a new category
            • List all the transaction transactions
            • Return a list of prices
            Get all kandi verified functions for this library.

            prometheus Key Features

            No Key Features are available at this moment for prometheus.

            prometheus Examples and Code Snippets

            No Code Snippets are available at this moment for prometheus.

            Community Discussions


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

            I'm following a tutorial,

            currently, I have the right image



            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:



            Add Kubernetes scrape target to Prometheus instance that is NOT in Kubernetes
            Asked 2022-Feb-13 at 20:24

            I run prometheus locally as http://localhost:9090/targets with



            Answered 2021-Dec-28 at 08:33

            There are many agents capable of saving metrics collected in k8s to remote Prometheus server outside the cluster, example Prometheus itself now support agent mode, exporter from Opentelemetry, or using managed Prometheus etc.



            Prometheus cannot scrape from spring-boot application over HTTPS
            Asked 2022-Feb-11 at 19:34

            I'm deploying a spring-boot application and prometheus container through docker, and have exposed the spring-boot /actuator/prometheus endpoint successfully. However, when I enable prometheus debug logs, I can see it fails to scrape the metrics:



            Answered 2022-Feb-07 at 22:37

            Ok, I think I found my problem. I made two changes:

            First, I moved the contents of the web.config.file into the prometheus.yml file under the 'spring-actuator'. Then I changed the target to use the hostname for my backend container, rather than

            The end result was a single prometheus.yml file:



            Apply yaml file using k8s SDK
            Asked 2022-Jan-17 at 16:00

            I’ve the following yaml which I need to apply using the K8S go sdk (and not k8s cli) I didn’t find a way with the go sdk as it is custom resource, any idea how I can apply it via code to k8s?

            This is the file

            Any example will be very helpful!



            Answered 2022-Jan-17 at 16:00

            You can use the k8sutil repo, see the apply example:



            Content of go.sum and modules really used by a go application
            Asked 2022-Jan-12 at 17:09

            I'm trying to compare the behavior of go mod tidy (and the resulting content of go.sum) to the output of go list -m all. Reading the docs, I understand go.sum contains the whole list of dependent modules declared in go.mod and in dependencies' go.mod files, go list -m all shows the modules really loaded during the execution. As an example, an application including logrus and prometheus like this:




            Answered 2022-Jan-12 at 17:09

            Yes, it correct to say the modules really "used" by the application are listed by go list -m all (as per documentation you provided the link of). By "used", it means the package selected at build time for the compilation of the go code of your application.

            We had a similar issue with a static analysis tool and we had to change the configuration to use the output of go list -m all (dumped in a file) instead of go.sum.



            Is Google Managed Prometheus billing per million or per billion?
            Asked 2022-Jan-03 at 09:25

            The Google Managed Prometheus says that they cost $0.2 per million samples. However, in pricing examples they say:

            Scenario 1: You have 100 containers, each writing 1,000 scalar times series.

            Variant A: If each time series is written every 15 seconds (1 sample/15s), then the number of samples written per month is 17,420,000,000 (175,200 samples/month * 1,000 time series * 100 containers), or 17.42 million.

            But 17,420,000,000 is 17.42 billion. So in that example, the price should be $3600, not $3.60, which is a pretty big difference to a pocket.



            Answered 2021-Dec-14 at 13:24

            You are right, this particular scenario is incorrect.
            However, values in the table are correct - 18 million metrics would cost approximately $3.60.
            Errors in documentation can be reported using the Public Issue Tracker.
            You can also use the Google Cloud Pricing Calculator to estimate cost of your metrics.



            Filter the parts of a Request Path which match against a Static Segment in Servant
            Asked 2022-Jan-02 at 18:53

            Supposing I'm running a Servant webserver, with two endpoints, with a type looking like this:



            Answered 2022-Jan-02 at 18:53

            The pathInfo function returns all the path segments for a Request. Perhaps we could define a typeclass that, given a Servant API, produced a "parser" for the list of segments, whose result would be a formatted version of the list.

            The parser type could be something like:



            Can't deploy streamlit app on
            Asked 2021-Dec-25 at 14:42

            I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on
            The error message is the following:



            Answered 2021-Dec-25 at 14:42

            Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.

            Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.

            After deleting these requirements re-deploy your app and it will work.



            OAUTH2 user service with Custom Authentication Providers
            Asked 2021-Dec-08 at 11:45

            I am new to Spring Security and Oauth2. In my spring boot application, I have implemented authentication with Oauth2 with following set of changes:

            Custom Ouath2 User service is as follows:



            Answered 2021-Dec-08 at 11:45

            I've created a simplified setup starting from your code with support for both OAuth2 and Basic Auth.

            /tenant2/** will start a basic authentication. /** (everything else) triggers an OAuth2 Authorization Code authentication.

            The key to achieve this is to have one @Configuration class per authentication type.

            Let's start with the controllers:




            Prometheus kubelet metrics with pod labels
            Asked 2021-Dec-03 at 10:41

            I am trying to figure out how to get pod labels into the metric tags from kubelet metrics using prometheus-stack. In our environment, we need to hash pod names (due to length limitations) so our app name, env, and unit name are saved in pod labels.

            We are using prometheus-stack (helm installation) to collect metrics from kubelet (/metrics, /metrics/cadvisor) and due to the lack of pod labels in metrics tags, it's difficult to know which metric belongs to which application.

            Prometheus-stack is using sd_kubernetes_config with endpoint rule to collect kubelet metrics, where __meta tags for pod labels cannot be used. Is there another way how to get that labels in metric tags?

            I also tried to collect pod_labels metric using kubeStateMetrics, where I can get metric that contains pod labels, but I cannot figure out how to display both metrics in a way that metric from cadvisor will show its value and metric from kubeStateMetrics will be used to display its labels (in Prometheus graph).

            Thanks for any advice.



            Answered 2021-Dec-02 at 08:39

            As far as I know you can really use filtering metrics based on pod labels. Look at the original answer:

            You can use + operator to join metrics. Here, group_left() will include the extra label: label_source from the right metric kube_pod_labels. The metric you're joining is forced to zero ( i.e. 0 * kube_pod_labels ) so that it doesn't affect the result of first metric.


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


            Prometheus 6.0 and earlier allows remote attackers to execute arbitrary PHP code via a modified PROMETHEUS_LIBRARY_BASE that points to code stored on a remote server, which is then used in (1) index.php, (2) install.php, or (3) various test_*.php scripts.

            Install prometheus

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


            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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