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Kristina
aa857e2a4f
* bring in source from database
* bring in transformations from database
* add regex transformations to scopevar
* Consolidate types, add better example, cleanup
* Add var only if match
* Change ScopedVar to not require text, do not leak transformation-made variables between links
* Add mappings and start implementing logfmt
* Add mappings and start implementing logfmt
* Remove mappings, turn off global regex
* Add example yaml and omit transformations if empty
* Fix the yaml
* Add logfmt transformation
* Cleanup transformations and yaml
* add transformation field to FE types and use it, safeStringify logfmt values
* Add tests, only safe stringify if non-string, fix bug with safe stringify where it would return empty string with false value
* Add test for transformation field
* Do not add null transformations object
* Add provisioning (to be removed) and show log lines with links
* Only display links if change to query was made
* Break out transformation logic, add tests to backend code
* Fix lint errors I understand 😅
* Fix the backend lint error
* Remove unnecessary code and mark new Transformations object as internal
* Add support for named capture groups
* Remove type assertion
* Remove variable name from transformation
* Add test for overriding regexes
* Add back variable name field, but change to mapValue
* fix go api test
* Change transformation types to enum, add better provisioning checks for bad type name and format
* Change transformation types to enum, add better provisioning checks for bad type name and format
* Check for expression with regex transformations
* Remove isInterpolated variable, add option to always use format function
* Add template variable check to links
* Use new functions
* Filter log line at render, remove extra createSpanLink imports
* Add scrollable to long log messages
* Remove test that is no longer accurate
* Remove test correlation
* Add tests, fix duplicate key issue
* WIP: show log line links key/value pairs
* Some not great style changes
* Change LogDetailsRow for better multi value formatting
* Cleanup
* Add additional information around variable regex, implement PR feedback
* Display name with fieldPath if applicable
* Add variables with fieldPaths to test
* Count empty string as undefined variable
* Add better commented version of function, fix tests by removing new variable
* Modify when links show
* Remove sample yaml
* If a link has no variables, set value to field name, and some formatting issues
* Add comments and change variable names to be more clear, add back logic where needed, add test coverage for new scenario
* Fix formatting of replaceInVariableRegex comment
* Remove changes from Grafana-data, move logic into explore
* Rename function and property to match similar format
* Move types to type files and consolidate definitions, rename functions, change field definitions to accept arrays of keys/values, move function to parser, hide actions on multi key/value rows
* Add tests to logParser’s new function
The open-source platform for monitoring and observability
Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data-driven culture:
- Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs.
- Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard.
- Explore Metrics: Explore your data through ad-hoc queries and dynamic drilldown. Split view and compare different time ranges, queries and data sources side by side.
- Explore Logs: Experience the magic of switching from metrics to logs with preserved label filters. Quickly search through all your logs or streaming them live.
- Alerting: Visually define alert rules for your most important metrics. Grafana will continuously evaluate and send notifications to systems like Slack, PagerDuty, VictorOps, OpsGenie.
- Mixed Data Sources: Mix different data sources in the same graph! You can specify a data source on a per-query basis. This works for even custom datasources.
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