Describe the bug
When parsing values from non-.mpr files (e.g. .txt or .idf), all values appear as strings rather than as their actual data type (e.g. float, int).
To Reproduce
Steps to reproduce the behavior:
Harvest a .txt or .idf file.
Observe the data_type of all columns is str
Expected behaviordata_type should be identified correctly.
Additional context
The issue is inside the parser itself. harvest.py's calls to enumerate(generator) return dictionaries where all the values are strings, rather than correctly being identified as the data type they should be.
Describe the bug When parsing values from non-
.mprfiles (e.g..txtor.idf), all values appear as strings rather than as their actual data type (e.g. float, int).To Reproduce Steps to reproduce the behavior:
.txtor.idffile.data_typeof all columns isstrExpected behavior
data_typeshould be identified correctly.Additional context The issue is inside the parser itself.
harvest.py's calls toenumerate(generator)return dictionaries where all the values are strings, rather than correctly being identified as the data type they should be.