A simple package to convert a Django QuerySet to a CSV file through an HttpResponse object.
Project description
django-qs2csv
A simple package to convert a Django QuerySet to a CSV file through an HttpResponse object.
Getting started
Prerequisites
- Python >= 3.8
- Django >= 4.2
- pandas >= 1.5
Installation
Full
pip install django-qs2csv
No dependencies
pip install --no-deps django-qs2csv
Usage
views.py
from django_qs2csv import queryset_to_csv
from .models import SampleModel
...
def export_csv(request):
...
my_queryset = SampleModel.objects.all()
response = queryset_to_csv(
my_queryset,
filename="all_sample_models",
)
return response
Return type
queryset_to_csv
returns a django.http.HttpResponse
with the Content-Type
and Content-Disposition
headers. Additional headers can be added to the response before returning:
...
response = queryset_to_csv(my_queryset)
response["Another-Header"] = "This is another header for the HttpResponse."
...
Options
header
:bool
- Include a header row with field names. Default: True
filename
:str
- The name of the exported CSV file. You do not need to include .csv, it will be added once the filename is evaluated. File names can not end in a period, include the symbols (< > : " / \ | ? *), or be longer than 251 characters (255 w/ ".csv"). Default: "export"
only
:list[str]
- List the field names that you would like to include in the exported file. An empty list will include all fields, other than those in defer
. Field names listed in both only
and defer
will not be included. See the note in the Limitations section for details how this works with a QuerySet that calls only() / defer(). Default: []
defer
:list[str]
- List the field names that you do not want to include in the exported file. An empty list will include all fields, or just those mentioned in only
. Field names listed in both only
and defer
will not be included. See the note in the Limitations section for details how this works with a QuerySet that calls only() / defer(). Default: []
values
:bool
- Only enable this if your QuerySet was already evaluated (no longer lazy) and called values(). You must ensure your fields are properly selected in the original QuerySet, because this will skip applying the only
and defer
parameters. Default: False
pd
:bool
- Use pandas.DataFrame.to_csv()
instead of csv.DictWriter()
to build the csv file. This may be faster for large QuerySets. Note: if you installed the package with the --no-deps
flag then you must ensure pandas is also installed. Default: False
Limitations
If the QuerySet was already evaluated before being passed to queryset_to_csv
then it will be re-evaluated by the function. Depending on the size of the QuerySet and the database setup, this may add a noticeable delay. It is recommended to monitor the impact of database queries using django.db.connection.queries
or django-debug-toolbar during development. If the QuerySet must be evaluated before the function is called, it would be most efficient to use values() with the QuerySet (if possible) then pass values=True
to queryset_to_csv
.
If your QuerySet uses only() / defer() then you must include those same fields in the only
/ defer
parameters when calling queryset_to_csv
. The function transforms all QuerySets into a list of dicts using values(), which is incompatible with only() and defer().
License
This project is licensed under the MIT License - see the LICENSE.md file for details.
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