csv upload feature for academic centers #558
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sunilshetye
requested changes
Jul 7, 2025
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sunilshetye
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added comments. initialise reader and loop only once. build cache if required. do not use bulk query.
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| decoded_file = csv_file.read().decode('utf-8') | ||
| reader = csv.DictReader(io.StringIO(decoded_file)) |
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| decoded_file = csv_file.read().decode('utf-8') | |
| reader = csv.DictReader(io.StringIO(decoded_file)) | |
| decoded_file = io.TextIOWrapper(csv_file, encoding='utf-8') | |
| reader = csv.DictReader(decoded_file) |
This will still read the entire file in memory. Use something like the one suggested.
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| row_count = sum(1 for _ in reader) | ||
| if row_count > MAX_ROWS: | ||
| messages.error(request, f"CSV has too many rows ({row_count}). Limit is {MAX_ROWS}.") | ||
| return redirect('events:new_ac') |
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Remove the row count check here as this is still going to read the entire file.
| messages.error(request, f"CSV columns do not match the expected format. Expected columns: {', '.join(EXPECTED_COLUMNS)}") | ||
| return redirect('events:new_ac') | ||
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| reader = csv.DictReader(io.StringIO(decoded_file)) |
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Don't initialise reader again.
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| for idx, row in enumerate(reader, start=2): # Start from 2nd row | ||
| _states.add(row.get('state').strip()) | ||
| _universities.add(row.get('university').strip()) | ||
| _institution_types.add(row.get('institution_type').strip()) | ||
| _districts.add(row.get('district').strip()) | ||
| _cities.add(row.get('city').strip()) | ||
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| # Bulk query | ||
| states = { s.name.lower(): s for s in State.objects.filter(name__in=_states)} | ||
| universities = { (u.name.lower(), u.state.name.lower()): u for u in University.objects.filter(name__in=_universities).select_related('state')} | ||
| districts = { (d.name.lower(), d.state.name.lower()): d for d in District.objects.filter(name__in=_districts).select_related('state')} | ||
| cities = { (c.name.lower(), c.state.name.lower()): c for c in City.objects.filter(name__in=_cities).select_related('state')} | ||
| institution_types = { i.name.lower(): i for i in InstituteType.objects.filter(name__in=_institution_types)} |
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this bulk query is also incorrect. you have to loop only once. you may build the cache in that loop.
| return 1 if val == 'yes' else 0 | ||
| else: | ||
| return 0 | ||
| reader = csv.DictReader(io.StringIO(decoded_file)) |
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don't initialise the reader again
| else: | ||
| return 0 | ||
| reader = csv.DictReader(io.StringIO(decoded_file)) | ||
| for idx, row in enumerate(reader, start=2): # Start from 2nd row |
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don't specify the start parameter.
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