Add a fallback to using all points for reports that are using old fits with bad filters.

[scarlehoff]

One example (I'm using generate_a_report.yaml as template) that would fail in current master (because the HERACOMBNCEM cuts do not exist). With this you get a million warnings but it works.
I think many warnings is better than a failure. Fixes #1505

fit: NNPDF31_nnlo_as_0118_DISonly

pdf:
  from_: "fit"

experiments:
  - experiment: TEST
    datasets:
      - {dataset: HERACOMBNCEM , frac: 0.5}

theoryid: 162

use_cuts: "fromfit"

template_text: |
  {@experiments::experiment plot_chi2dist@}

actions_:
  - report(main=True)

[github-actions]

Greetings from your nice fit 🤖 !
I have good news for you, I just finished my tasks:

• Fit Name: NNBOT-eaf0d96bc-2022-01-28
• Fit Report: https://vp.nnpdf.science/e3TXas9VSl6rc4TvKD6TxA==
• Fit Data: https://data.nnpdf.science/fits/NNBOT-eaf0d96bc-2022-01-28.tar.gz

Check the report carefully, and please buy me a ☕ , or better, a GPU 😉!

[Zaharid]

Let's discuss in some call.

[scarlehoff]

This is now updated with what we talked about yesterday.
I guess we could even cache the cuts instead of loading them every time from the file but I guess it doesn't really matter.