Skip to main content

oslo.reports library

Project description

Latest Version Downloads

When things go wrong in (production) deployments of OpenStack collecting debug data is a key first step in the process of triaging & ultimately resolving the problem. Projects like Nova has extensively used logging capabilities which produce a vast amount of data. This does not, however, enable an admin to obtain an accurate view on the current live state of the system. For example, what threads are running, what config parameters are in effect, and more.

The project oslo.reports hosts a general purpose error report generation framework, known as the “guru meditation report” (cf http://en.wikipedia.org/wiki/Guru_Meditation) to address the issues described above.

Models: These classes define structured data for a variety of interesting pieces of state. For example, stack traces, threads, config parameters, package version info, etc. They are capable of being serialized to XML / JSON or a plain text representation

Generators: These classes are used to populate the model classes with the current runtime state of the system

Views: views serialize models into say JSON, text or xml. There is also a predefined view that utilizes Jinja templating system.

There will be a number of standard models / generators available for all OpenStack services

StackTraceModel: a base class for any model which includes a stack trace ThreadModel: a class for information about a thread ExceptionModel: a class for information about a caught exception ConfigModel: a class for information about configuration file settings PackageModel: a class for information about vendor/product/version/package information

Each OpenStack project will have the ability to register further generator classes to provide custom project specific data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oslo.reports-1.13.0.tar.gz (43.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oslo.reports-1.13.0-py2.py3-none-any.whl (50.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file oslo.reports-1.13.0.tar.gz.

File metadata

  • Download URL: oslo.reports-1.13.0.tar.gz
  • Upload date:
  • Size: 43.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for oslo.reports-1.13.0.tar.gz
Algorithm Hash digest
SHA256 631fc88705559b16b713a6c2933b4891ce59f596b3f68b3f62e64fedfab144e4
MD5 b1390b4f31052a527b81ab8979419a6d
BLAKE2b-256 2f408645881d7b17b973b134329dcd55d668569d980a619abcb38ec04d605805

See more details on using hashes here.

File details

Details for the file oslo.reports-1.13.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for oslo.reports-1.13.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b1d2e7740616a51862dbb1577c2cd987a685b7e0f31a8988598e6c4f8d53d2ed
MD5 27477802ad251fe082092689176515ae
BLAKE2b-256 1d81ff569b847c46eaced0b268a2996b92be670fd33af32f7ec5f72adf9846fe

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page