We have a file, we have created the tables with the same column names and everything seems to be fine. We get the error: No suitable database adapter found! When we try to upload any excel file.

When we try to upload any excel file. We have tried this with a basic excel file mimicing the same columns in case there was an issue with the originating file. This has not resolved the issue. We have also created a new file with the same column names and entered some basic data and this still returns the same error.

I'm filing this issue to see if others have successfully used this package with uWSGI as I ran into some issues using this package with uWSGI. Specifically, excel.make_response_from_array(....) would return None. Responses were fine when using the default flask development server.

It's entirely possible that this is due to some server configuration issues on my end. Sadly I didn't have much time to look into the issue as the associated feature development is on a deadline and since flask excel was just exporting a csv, I removed the package entirely and went with a raw python implementation.

I used flask-excel to import data from xlsx file. When blank lines exist in xlsx file, pyexcel gives '' for empty cell and inserts '' in every row into database. When I have a row unique, code will raise error.

Is there a simple way to ignore blank lines? Thanks.

The example from the Quick Start works perfectly but when I try to use the get_dict() or get_array() functions when responding to requests made from Flask-Admin, I get the following error:

Here is the traceback: https://gist.github.com/af22b27762543a62709ea89897bc0539 .

I call it from here:

@pre_save(sender=BulkMessage)
def on_bulk_message_save_handler(model_class, instance, created):
    instance.file_fields = request.get_array(field_name='file')

The request object does have the correct file name at the point of calling get_array():

dump(request.files)
Contents of werkzeug.datastructures.ImmutableMultiDict object at 0x7fc8e6daf3b8
file    

<FileStorage: 'SMS_dummy_data.xlsx' ('application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')>

But the file contents are lost somewhere in get_array():

File "/home/tuk/.virtualenvs/bulksms/lib/python3.4/site-packages/pyexcel_webio/__init__.py", line 93, in get_dict

return pe.get_dict(**params)

[console ready]
>>> dump()
Local variables in frame
params  

{'file_content': b'', 'name_columns_by_row': 0, 'file_type': 'xlsx'}

keywords    

{'name_columns_by_row': True, 'field_name': 'file'}

self    

<ExcelRequest 'http://localhost:5000/admin/bulkmessage/new/?url=%2Fadmin%2Fbulkmessage%2F' [POST]>

Any ideas?

The response of make_response_from_array(array,file_type,file_name) is None! Different project ,same array, same logic, but different response. One is None. One is <Response 87649 bytes [200 OK]>. Could you please tell what happened ? and what's wrong with my project? I don't know how to describe this question!!! Hope you can see it. Thanks you very much!!!

If I call make_response_from_records() to convert to CSV with 1M rows, it does it no problem. However if I do the same thing to XLSX, it runs memory up until the whole flask application comes crashing down and dies.

Obviously an Excel spreadsheet can't normally have 1M rows in it anyhow.

I can check the number of rows before I call make_response_from_records() to mitigate this problem.

I was opening this issue to see if that function could be updated to throw an exception if too many rows are passed instead of happily ingesting them until it dies.

I wanted a convenient way to provide the file name to be presented in the content-disposition header instead of passing it in via a form.

This overrides the proxied pyexcel make* methods and adds an extra (default none) file_name option. This could also be accomplished with a decorator, either in the client's code or within init.py, but I decided this was clearer.

Only the name of the file, not the extension, needs to be provided. The extension will be added based on the file_type argument passed in.

When make_response_from_records() is invoked it displays a warning:

"Deprecated since v0.1.5! Please use get_sheet instead."

I'm using Flask-Excel (0.0.3) with pyexcel (0.1.7).

It looks like it is coming out of code here: https://github.com/chfw/pyexcel/blob/master/pyexcel/deprecated.py

It is a question. It's the example from docs I copy the code and download the sample-data. It works but when I rename the sheet in the sample file, like changing category into Category, It complains like this.

Sheet: Category does not match any given tables.Please be aware of case sensitivity.

And I check the code and manual carefully and still don't know how this "match" works. Without understanding this I can't use save_book_to_database. Could you explain how it works?

Thanks, and sorry for my poor English.

column_names = ['chapter_id','story_id', 'story_url']
return excel.make_response_from_query_sets(story_list, column_names, file_name='test',file_type='xlsx')

I want used column_names = ['chapterid','storyid', 'storyurl'] replace and my query is outerjoin ,so How I can make it to excel

Hi,

[My environment] Windows 10 Python 3.6 IIS 7.5 or Apache 2.4.37 (I checked both environment with fastcgi, mod_wsgi)

[Condition] Below code run well in flask cmd mode(ex> python excel_test.py) http://localhost:5000/export But when run in IIS or Apache meet TypeError(maybe 'None' Returned).

[Sample Code] @app.route("/export", methods=['GET']) def export_records(): return excel.make_response_from_array([[1, 2], [3, 4]], "xlsx", file_name="export_data")

[Error] Error occurred: Traceback (most recent call last): File "c:\python\lib\site-packages\flask\app.py", line 2292, in wsgi_app response = self.full_dispatch_request() File "c:\python\lib\site-packages\flask\app.py", line 1816, in full_dispatch_request return self.finalize_request(rv) File "c:\python\lib\site-packages\flask\app.py", line 1831, in finalize_request response = self.make_response(rv) File "c:\python\lib\site-packages\flask\app.py", line 1957, in make_response 'The view function did not return a valid response. The' TypeError: The view function did not return a valid response. The function either returned None or ended without a return statement.

[Workaround] I had googling and find this code well worked in IIS, Apache.

@app.route("/export2", methods=['GET']) def export_records2(): csvlist = [[1, 2], [3, 4]] df = pd.DataFrame(csvlist, columns=["Team", "Player"])

print(df)

output = io.BytesIO()
writer = pd.ExcelWriter(output)
df.to_excel(writer, 'Tab1')
writer.save()

resp = make_response(output.getvalue())
resp.headers['Content-Disposition'] = 'attachment; filename=output.xlsx'
resp.headers["Content-type"] = "text/csv"
return resp

Thanks for your help

Flask-Excel doesn't support sqlalchemy's Enum type.

Example:

import enum

class Animal(enum.Enum):
    dog = "Dog"
    cat = "Cat"
    rabbit = "Rabbit"

class Child(db.Model):
    name = db.Column(db.String(100))
    age = db.Column(db.Integer)
    animal = db.Column(db.Enum(Animal))

Flask 1.1.2 Flask-Excel 0.0.7

when running the quick start sample from http://flask.pyexcel.org/en/latest/, it raised error:

• http://localhost:5000/download AttributeError: module 'flask_excel' has no attribute 'make_response_from_array'

• http://localhost:5000/upload AttributeError: 'Request' object has no attribute 'get_array'

Does this package support exporting HTML tables (jinja template) to excel? It would be a nice feature to have. Sometimes we might just want to design the table layout and it is easy to design in HTML.

I was wondering what the best way is for creating a multiple sheet Excel book. I have data that is being generated live (nothing from SQL).

My idea was to create a pyexcel_instance, use 'make_response()'. However, I was slightly confused with the best way to use PyExcel. Should I save my Pyexcel book when I make one? If so, would I have to delete the saved object to avoid memory leaks?

Hi, when i use the save_book_to_database almost keeping with your example i kept getting the Index out of range error, but with other functions such as get_dict it works fine, what could be the problem?