manual Normalization failed with normalization.csv

[romain guedj]

Hi All,

Manual Normalization fails with AM 1.13.2. due to an option used to parse normalization.csv here: archivematica/fileOperations.py at stable/1.13.x · artefactual/archivematica (github.com) 

line 347

# use universal newline mode to support unusual newlines, like \r

with open(csv_path, "rbU") as csv_file:

        reader = csv.reader(csv_file)
        

instead of 

# use universal newline mode to support unusual newlines, like \r
    with open(csv_path, "rU") as csv_file:
        reader = csv.reader(csv_file)

The binary option failed. It has been changed to another part of the code when AM parses metadata.csv :
archivematica/archivematicaCreateMETSMetadataCSV.py at stable/1.13.x · artefactual/archivematica (github.com)

line 101

# use universal newline mode to support unusual newlines, like \r
with open(metadataCSVFilePath, "rU") as f:
     reader = csv.reader(f)

here the option b has been removed from the AM 1.12

archivematica/archivematicaCreateMETSMetadataCSV.py at stable/1.12.x · artefactual/archivematica (github.com)

line 100

# use universal newline mode to support unusual newlines, like \r
with open(metadataCSVFilePath, "rbU") as f:
    reader = csv.reader(f)

I have created an ticket  problem: Manual Normalization failed with normalization.csv due to option used in fileOperations.py during ingest step · Issue #1556 · archivematica/Issues (github.com)

Cheers,

Romain

[Sarah Romkey]

Hi Romain,

Thanks for your detailed report, appreciate it!

Sarah Romkey, MAS,MLIS

Archivematica Program Manager

She/her
Artefactual Systems
604-527-2056

@archivematica / @accesstomemory

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[Guedj Romain]

Hi Sarah,

You are welcome!

 

Cheers,

 

Meilleures salutations

 

Romain Guedj, e-Archiviste

Romain...@fr.ch, T +41 26 305 13 74

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De : archiv...@googlegroups.com <archiv...@googlegroups.com> De la part de Sarah Romkey
Envoyé : mercredi 18 mai 2022 09:31
À : archiv...@googlegroups.com
Objet : Re: [archivematica] manual Normalization failed with normalization.csv

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