Imp(): chart data request

[e11sy]

CPU usage reduced:

• do not store ~380k records in one object
• do not cast .toArray() the whole db call result
• do not iterate over the large object several times (only one time really required)

Db bottleneck solution:

• add projection to reduce size of the package sent from db to the api

[Copilot]

Pull Request Overview

This PR optimizes chart data processing by reducing CPU usage and database bottlenecks when handling large datasets (~380k records). The changes eliminate unnecessary memory allocation and reduce database payload size.

• Replaced .toArray() with cursor-based streaming processing to avoid loading all records into memory
• Added MongoDB projection to fetch only required fields (lastRepetitionTime, groupingTimestamp, count)
• Implemented direct aggregation during iteration instead of multiple passes over the data

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.

File	Description
src/models/eventsFactory.js	Optimized chart data processing with cursor streaming and direct aggregation
package.json	Version bump from 1.2.0 to 1.2.1

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