tcc and tif drift, compensated for string value casing, csv to dict improved process
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@ -2,7 +2,7 @@ import csv
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import io
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import re
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def items_csv_to_dict(items_csv_reader):
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def items_csv_to_dict(items_csv_reader, solver_run):
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items = []
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headers = []
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@ -16,21 +16,17 @@ def items_csv_to_dict(items_csv_reader):
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# ensure that the b param is formatted correctly
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if len(re.findall(".", row[len(headers) - 1])) >= 3:
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for key, col in enumerate(headers):
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if key == 0:
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item[col] = row[key]
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if key == 2:
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# make sure passage id exists
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if row[key]:
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item['passage_id'] = row[key]
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# b param - tmep fix! use irt model b param for proper reference
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elif key == len(headers) - 1:
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if solver_run.irt_model.formatted_b_param() == col:
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item['b_param'] = row[key]
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elif key > 2 and key < len(headers) - 1:
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item['attributes'].append({
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'id': col,
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'value': row[key],
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'type': 'metadata'
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})
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elif solver_run.get_constraint(col) and solver_run.get_constraint(col).reference_attribute.type == 'bundle':
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if row[key]:
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item[solver_run.get_constraint(col).reference_attribute.id] = row[key]
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elif solver_run.get_constraint(col):
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constraint = solver_run.get_constraint(col)
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item['attributes'].append(constraint.reference_attribute)
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else:
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if row[key]:
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item[col] = row[key]
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items.append(item)
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