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Influx Time Series Editor V1.0.x Features

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Feature Overview

  • Browse buckets, measurements, tag key/value pairs and field keys via cascading dropdowns
  • Time range selection with quick-range presets (1 h, 6 h, 12 h, 24 h, 7 d, 30 d)
  • Time Range shift for shifting the region of interest on the time scale
  • Visualize queried field values in an interactive line chart
  • Auto Query for immediate visualization update on time range change
  • Edit individual data points directly in a scrollable table
  • Side-by-side chart – original values (blue) and modified values (orange) shown simultaneously for review
  • Commit writes the modified points back to InfluxDB (same measurement/tags/timestamp → overwrites the field value)
  • Persistent settings – URL, organisation and optionally the API token are saved across sessions

Architecture

The application is a Flask backend + W3.css/Chart.js frontend, packaged as a Docker container.

Browser (W3.css + Chart.js)
        │  HTTP / JSON
        ▼
Flask backend (app.py)
        │  influxdb-client-python
        ▼
InfluxDB v2

The backend is a single-process, single-worker Flask/Gunicorn application.
The InfluxDB connection is held as a module-level singleton, which is appropriate for a single-user container deployment.

Modifying data

InfluxDB v2 supports in-place field replacement: writing a new Point with the same measurement + tags + timestamp simply overwrites the stored field value.
The editor uses this mechanism – no data is deleted; only the changed field values are re-written with the new values supplied by the user, retaining their original tag sets.

Credits

The initial version for this tool was created with GitHub Copilot