Skip to content

Tracker App CSV Import — Garbage Text in Axis Fields (Flair Classic 7.18 Bug)

Summary

In Flair Classic 7.18 (beta builds up to at least beta 22), importing a CSV file from the MRMC Tracker App populates axis fields with garbage text instead of the expected numeric keyframe values. The move cannot be used. The workaround is to downgrade to Flair Classic 6.47, which imports the same CSV correctly. The bug was reported to MRMC by Tom D in May 2022 but had not been confirmed as fixed in the community chat.

Symptoms

  • After importing a Tracker App CSV in Flair Classic 7.18, axis fields contain unexpected text strings instead of numeric values.
  • The imported move is unusable — garbage values in keyframe fields.
  • The same CSV imports correctly in Flair Classic 6.47.
  • The issue is present regardless of the specific beta build number within 7.18 (including RC1).

Community Guidance

[WORKAROUND] Downgrade to Flair Classic 6.47 for Tracker App Import

Community — Tom D — May 2022

Tom D: "On another note regarding CGI import - has anyone else been having issues with importing data from the MRMC tracker app? It currently populates the axis of my flair classic 7.18 beta 22 with garbage text. I've gone back to RC1 build, but still same issue - I have to go back to classic 6.47 to have it import correctly. Submitted error reports a few weeks back but haven't heard back yet, so maybe it's not replicating everywhere?"

Workaround:

  1. Install Flair Classic 6.47 alongside 7.18 (both can coexist in separate folders).
  2. Perform the Tracker App CSV import using Flair Classic 6.47.
  3. Once the move is imported and saved as a .job file, reload it in Flair Classic 7.18 for further editing.

confidence_score: 0.82

[INFORMATIONAL] Bug Report Status

Community — Tom D — May 2022

The bug was submitted to MRMC via their error reporting system. If you are experiencing this issue, submit a report to support@mrmoco.com referencing this known issue in Flair Classic 7.18 beta builds. Include your exact build number and a sample CSV that reproduces the problem.

confidence_score: 0.75