Issues using DataTableAccess (rookie issue)

[SofusNL]

Hello.
I have previously used both mikeio and mikeio1D with great succes. I am now trying to get started using mikepluspy following the examples on here. I simply run the code below, which causes the error also seen below.
I am using anaconda + spyder (Python 3.11), which hasn't caused any issues with mikeio and mikeio1D, when installing using pip in the anaconda prompt. Similarly I am using mike+ 2024 for both mikepluspy and mike+.

import mikeplus
from mikeplus import DataTableAccess
from mikeplus.engines import Engine1D
import clr
import os

dta = DataTableAccess(test.sqlite)
dta.open_database()
dta.is_database_open()

Which results in the error:
SQLiteException: code = Error (1), message = System.Data.SQLite.SQLiteException (0x800007BF): SQL logic error
The specified module could not be found.
at DHI.Amelia.DataModule.Services.DataSource.DataSourceSpatiaLite.OpenDatabaseCore()
at DHI.Amelia.DataModule.Services.DataSource.BaseDataSource.OpenDatabase()

I have tried also including the following, which did not help, as well as trying to clr.AddReference() the two modules above, but perhaps that doesn't make sense, at least it did not work.
clr.AddReference("System")
clr.AddReference("System.Runtime")
clr.AddReference("System.Threading")
clr.AddReference("System.Runtime.InteropServices")
clr.AddReference("DHI.Amelia.DataModule")
clr.AddReference("DHI.Amelia.DataModule.Interface")
clr.AddReference("DHI.Amelia.Infrastructure.Interface")
clr.AddReference("DHI.Amelia.GlobalUtility")
clr.AddReference("DHI.Amelia.DomainServices")
clr.AddReference("DHI.Amelia.DomainServices.Interface")

I hope this is the correct place to post my issues, otherwise feel free to direct my to another place.

[wuwwen]

This exception happens when the MIKE+ version is conflict or the database file path is invalid.
I think you can try two things.

1. use absolute path for the sqlite file path.
2. try to use jupyter notebook to run our example "notebooks/DataTableAccessor.ipynb"

@SofusNL

If there are still no progress, I'll check it further.

[SofusNL]

Hi @wuwwen thanks for looking at my problem.
I previously had both the 2023 and 2024 versions of MIKE+ installed. I deinstalled v.2023 from PC as I was afraid this might be causing the hickup, unfortunately this didn't work. Is it possible that there are still some remnants of the old version causing issues?
I have now also tried to use mikepluspy on a colleague's PC, but it did not work there either.

I have tried to use the absolute path, both using the classic "file_path=os.path.join(folder_path, file_name)" and also just raw typing the entire thing into DataTableAccess(...), but neither worked.

I hope this can narrow the issue down further.

[wuwwen]

@SofusNL How are you doing here? We can't reproduce your issue on our side. That why there is no fix for the time being.
What we have done is below:

1. Created env by using conda.
2. Installed all the necessary libs (numpy, pandas, python 11)
3. Installed MIKE+ 2024
4. Install mikepluspy package by using "pip install https://github.com/DHI/mikepluspy/archive/refs/tags/v2024.0-latest.zip"
5. Open Spyder to execute below code. It can open the database successfully. Please remember to use the new created env in Spyder.
   from mikeplus import DataTableAccess
   data_access = DataTableAccess("example.sqlite")
   data_access.open_database()
   data_access.close_database()
   print("Sqlite database opened successed.")

Anything missing in our steps?

[SofusNL]

Hi Yes the steps are in fact correct, but I think the order here might be important. I first and foremost do modelling, so I have both the 2023 (for the import/export functionality) and 2024 (for everything else). I have tried to delete the 2023 versions from my PC, but that didn't solve the problem. Is it possible that if you are running both (or have had) that you get the error I mentioned? For step 4, I just want it to be clear that I am using pip install inside the anaconda prompt, to make sure everything is in the correct directory. I will try importing it again on a completely "clean" PC next week and see what happens. Med venlig hilsen/Kind regards *Sofus Normann Laulund* *Projektingeniør, Plan og Model, Forsyning Vest* *Civilingeniør Vand og Miljø* KRÜGER A/S tlf.: +45 60 37 07 78 / email: ***@***.*** Krüger A/S / Haslegårdsvænget 18 / 8210 Aarhus V / Denmark Krüger A/S / Indkildevej 6C / 9210 Aalborg SØ/ Denmark CVR: 57446412 - www.kruger.dk <https://www.kruger.dk/> [image: Krüger_Veolia_RGB_200px.jpg] <https://www.kruger.dk/> <https://www.facebook.com/KrugerDK> <https://www.linkedin.com/company/kruger-as> ***@***.***> Den ons. 5. jun. 2024 kl. 04.37 skrev wuwwen ***@***.***>:

…

@SofusNL <https://github.com/SofusNL> How are you doing here? We can't reproduce your issue on our side. That why there is no fix for the time being. What we have done is below: 1. Created env by using conda. 2. Installed all the necessary libs (numpy, pandas, python 11) 3. Installed MIKE+ 2024 4. Install mikepluspy package by using "pip install https://github.com/DHI/mikepluspy/archive/refs/tags/v2024.0-latest.zip" 5. Open Spyder to execute below code. It can open the database successfully. Please remember to use the new created env in Spyder. from mikeplus import DataTableAccess data_access = DataTableAccess("example.sqlite") data_access.open_database() data_access.close_database() print("Sqlite database opened successed.") Anything missing in our steps? — Reply to this email directly, view it on GitHub <#33 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BHQ7JO3WNCGDHLZA5ORVTQLZFZ2VFAVCNFSM6AAAAABFTPAUUWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBYG42DQNBXGU> . You are receiving this because you were mentioned.Message ID: ***@***.***>

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[BjoerndalM]

Hej @SofusNL

Jeg tillader mig at spørg om du fik løst dit problem.
Det virker til at vi får mere eller mindre samme fejl.
Jeg har også forsøgt mig på en kollegas PC, med samme resultat.
Jeg har afinstalleret alt MIKE+ relateret, medundtagelse af 2024 udgaven.
Jeg bruger også Spyder, så hvis du havde fundet en løsning ville det være fedt at høre hvad du gjorde.

På forhånd tak.