Prophet 1.1.5 saving and loading model leads to incorrect historical data points & possibly prediction about prophet

[Hazzles]

I don't suppose you're not stating explicitly the interval periods in the make_future_dataframe function once you reload the data? It's the same freq notation as a pd.date_range()
E.g.:

df_future  = model.make_future_dataframe(periods=forecast_periods, freq="30min")

I have no issues when I load my model back from json when I do this. Unsure if this is helpful or not.

[vladchestTELUS]

Hi, it is good to know that usually this is not an issue.

I tried multiple approaches including similar to one above:
future = prophets[p]["model"].make_future_dataframe(periods = periodsToPredict, include_history = False) #1970s... but even when I use make_future_dataframe function I am still getting this issue.
For context next step is predict and then I run plot_components and plot.

Another approach I attempted was to use pd.date_range to generate a pandas dataframe with correct dates.

In either case the data has unexpected flat vertical line pattern. This includes historical data which I do not think should be impacted by dataframe generation.

To write and load models I am using:
f.write(model_to_json(model))
model_from_json(f.read())