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- What is Analytics in FireFlink?
Analytics is a systematic computational analysis of suite data or suite statistics, which contains brief information about suites.
- Navigation steps to “Analytics”.
- Login to Fireflink.
- The user will be landed on the All Projects level Project Menu.
- Users can navigate to individual projects either by creating new ones or by selecting existing ones.
- The analytics section can be found in the left navigation panel after navigating to an individual project.
- The analytics section should not display before executing the suite.
- Users can see the empty analytics as shown in the below screen, which has no suites executed.
- Once you create and run a suite, it will appear in the analytics section, as shown below.
- “Analytics” provides detailed information about the suites.
- Here we can check the status and efficiency of the suites as shown in the above graphical representation.
Under Analytics, users can use various filters, such as:
- Time Period
- After execution, if a user navigates to the Analytics section, in expand time period component, by default it will select the last 7 days’ radio button and it will display the last 7 days of the analytics report.
- Users can choose whether they want last month’s analytics report, the last 3 months’ analytics report, or last year’s analytics report.
- Users can also get the reports for the duration by selecting “From date” and “To date”.
- Suite (Total suites: 0)
- Whenever the user expands the suite component, it will display all the suite files which are executed.
- Users can select any one of the suites to get analytics.
- It will display the Execution environments such as Local, Browser stack, etc.
- Users can select the environment just by clicking on the checkbox of the particular environment in which execution has to be done.
- Operating System
- It will display all the OS like Windows, Linux, and, iOS.
- Users can select the operating system by clicking on the check box.
- All the browsers like Google Chrome, Opera, Microsoft Edge, and Mozilla Firefox will be displayed in the browser section.
- Users can select the browser just by clicking on the check box.
Analytic – Suites
1. Scripts Trend graph
- Based on the time period and suite selected, the script trend will display the graph.
- When the user hovers the mouse on the line graph, it will display a tooltip stating Passed, failed, Warning, Skipped, and Flaky scripts as shown in the below design.
- Whenever the user clicks on the passed scripts tab, the passed scripts list table will be displayed below the tab as shown in the above picture.
Note: If the user wants to get into Failed scripts, warning scripts, skipped scripts, or Flaky scripts tables then, they just have to click on a particular tab.
2. Top Failures
- The top Failures section is represented by the bar graph and in the form of the Failure Rate.
- Where bar graph displays the ratio of the number of scripts proportional to the failure rate.
- The failure rate table displays the failed scripts, as per the selecting percentage of the bar graph as shown below.
- Non-Tagged Scripts
- Non-tagged scripts are represented by gauge graphs and in the form of a table chart.
- Whereas in the gauge graph percentage of the non-tagged scripts will be displayed.
- In the table, the chart displays the non-tagged scripts and the table contains Name, Path, and Steps Are Tagged columns (It displays the number of steps tagged in the scripts) as shown below.
- Tagged Scripts
- The tagged scripts section is represented by the donut graph and in the form of a Tag table.
- Whereas, the donut graph displays the percentage of the tag which is mentioned in the scripts.
- The tag table chart displays the tagged steps and the table contains Name, Path, and Steps Are Tagged as shown below.