feat(main-chart): add minimum max scale for main chart #38
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WalkthroughThe recent updates aim to optimize the main chart's performance and data representation. By reducing the data point threshold and adjusting the frequency at which data points are considered, the system aims for more streamlined and efficient data visualization. Additionally, a new maximum value for chart data has been introduced, suggesting a recalibration of the chart's scale and domain. Changes
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Review Status
Actionable comments generated: 2
Configuration used: CodeRabbit UI
Files selected for processing (2)
- src/components/pages/home/MainChart.tsx (3 hunks)
- src/constants.ts (1 hunks)
Additional comments: 4
src/constants.ts (2)
4-4: Changing
MAIN_CHART_DATAPOINT_EVERYfrom 5 to 1 increases the frequency of data points displayed. This could improve the chart's resolution but may also impact performance. Verify that the application can handle the increased load without performance degradation.5-5: Introduction of
MAIN_CHART_DATA_MAXsets an upper limit for the chart's data points. This change should help in normalizing the scale of the chart and preventing it from scaling too high, which can improve readability. However, ensure that this new limit is suitable for all expected data ranges.src/components/pages/home/MainChart.tsx (2)
2-2: The import of
MAIN_CHART_DATA_MAXis correctly added for use in theMainChartcomponent.73-73: The conditional logic for setting the
YAxisdomain is correct and ensures that the chart does not scale beyondMAIN_CHART_DATA_MAXunless necessary. This should maintain a consistent scale for the chart.
| const largestDatapoint = Math.max(...Object.entries(lastPoint).map( | ||
| ([key, value]) => key === "key" ? 0 : value | ||
| ), MAIN_CHART_DATA_MAX) |
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The calculation of largestDatapoint is correct but may not be efficient due to the use of the spread operator on potentially large arrays. Consider refactoring to a more performant approach, such as using a loop to find the maximum value.
- const largestDatapoint = Math.max(...Object.entries(lastPoint).map(
- ([key, value]) => key === "key" ? 0 : value
- ), MAIN_CHART_DATA_MAX)
+ let largestDatapoint = MAIN_CHART_DATA_MAX;
+ for (const [key, value] of Object.entries(lastPoint)) {
+ if (key !== "key" && value > largestDatapoint) {
+ largestDatapoint = value;
+ }
+ }Committable suggestion
❗ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.
| const largestDatapoint = Math.max(...Object.entries(lastPoint).map( | |
| ([key, value]) => key === "key" ? 0 : value | |
| ), MAIN_CHART_DATA_MAX) | |
| let largestDatapoint = MAIN_CHART_DATA_MAX; | |
| for (const [key, value] of Object.entries(lastPoint)) { | |
| if (key !== "key" && value > largestDatapoint) { | |
| largestDatapoint = value; | |
| } | |
| } |
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it's only 1000 datapoints, it should be fine
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@Zygimantass, understood. If you find that performance becomes an issue later on, especially as the dataset grows, keep in mind that the suggested refactor could help. If you need to revisit this, feel free to reach out or consider the alternative provided.
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Review Status
Actionable comments generated: 0
Configuration used: CodeRabbit UI
Files selected for processing (1)
- src/constants.ts (1 hunks)
Additional comments: 1
src/constants.ts (1)
- 5-5: The addition of
MAIN_CHART_DATA_MAXwith a value of 4000 is noted and appears to align with the PR's objectives to set a minimum maximum scale for the main chart.
Summary by CodeRabbit
New Features
Refactor
Documentation