Can you try -e instead of -f that's what I use

On May 12, 2021 8:31:36 AM GMT+02:00, "[email protected]" <[email protected]> 
wrote:
>Thanks for the suggestion @Patrick. I just tried changing that but still 
>doesn't work. I get the exact same behavior if I call it with an empty 
>file....seems the -f option doesn't make bean-extract behave as expected 
>for me. Here is my call:
>
>bean-extract -f journal/myledger.beancount jonathan_smart.import 
>~/staging/62090_818496_1013051ofxdl.qfx  > ~/staging/dud.txt
>I get these messages:
>
>Cannot train the machine learning model because the training data is empty.
>
>Cannot train the machine learning model because the training data is empty.
>
>On Wednesday, May 12, 2021 at 5:31:25 PM UTC+12 [email protected] wrote:
>
>> Hi,
>>
>> I think your setup looks good, the smart importer hook is in there as 
>> otherwise you would not get the errors about not able to train.
>>
>> I think the issue is on your call
>>
>>
>> bean-extract jonathan_smart.import ~/staging/new_bank_data.qfx -f 
>> journal/myledger.beancount > ~/staging/dud.txt
>>
>>
>> My guess is that the -f argument needs to come before you specify the 
>> importconfig and the location, so 
>>
>>
>> bean-extract -f journal/myledger.beancount jonathan_smart.import 
>> ~/staging/new_bank_data.qfx > ~/staging/dud.txt
>>
>>
>> Regards,
>>
>> Patrick
>>
>> On 12.05.2021 01:58, [email protected] wrote:
>>
>> Thanks for looking at this module even though you aren't using it!
>>
>> I followed the code that was further down on the readme page 
>> <https://github.com/beancount/smart_importer> that describes how to 
>> convert an existing importer.  
>> >>
>> from your_custom_importer import MyBankImporter 
>> from smart_importer import apply_hooks, PredictPayees, PredictPostings 
>>
>> my_bank_importer = MyBankImporter('whatever', 'config', 'is', 'needed') 
>> apply_hooks(my_bank_importer, [PredictPostings(), PredictPayees()]) 
>> CONFIG = [ my_bank_importer, ]
>> >>
>> (my code looks just like this example)
>>
>> I had thought apply_hooks would operate on the importer so when I call it 
>> in config I can just then call the hookified bank_importer. Is this note 
>> the case?
>>
>> On Wednesday, May 12, 2021 at 1:26:27 AM UTC+12 [email protected] wrote:
>>
>>> * Disclaimer * I have never actually run smart importer. 
>>>
>>> Looking at the README on GitHub for smart importer it looks like you need 
>>> to use the return object of apply_hooks in your CONFIG list. 
>>>
>>> CONFIG = [ apply_hooks(MyBankImporter(account='Assets:MyBank:MyAccount'), 
>>> [PredictPostings()]) ]
>>>
>>> In your config you apply the hooks but are not using the returned object.
>>>
>>> Hope that helps.
>>>
>>> On Tuesday, 11 May 2021 at 04:06:33 UTC+1 [email protected] wrote:
>>>
>>>> Hi, 
>>>>
>>>> I'm trying to get smart_importer to work and not sure what I'm doing 
>>>> wrong. 
>>>>
>>>> *1*. I successfully have done all the required beancount setup and 
>>>> created by own bank importer and ran it on two months of data.
>>>> *2.* I then manually labelled about 2 months of data from one of my 
>>>> banks. 
>>>> *3.* I installed smart_importer using "pip install smart_importer"
>>>>
>>>> (base) MacBook-Air:beandata jonathan$ pip show smart_importer
>>>>
>>>> Name: smart-importer
>>>>
>>>> Version: 0.3
>>>>
>>>> Summary: Augment Beancount importers with machine learning functionality.
>>>>
>>>> Home-page: https://github.com/beancount/smart_importer
>>>>
>>>> Author: Johannes Harms
>>>>
>>>> Author-email: UNKNOWN
>>>>
>>>> License: MIT
>>>>
>>>> Location: /Users/jonathan/opt/miniconda3/lib/python3.8/site-packages
>>>>
>>>> Requires: scikit-learn, beancount, numpy, scipy
>>>>
>>>> *4.* I created a new config file I called Jonathan_smart.import
>>>>
>>>>
>>>> base) MacBook-Air:beandata jonathan$ more jonathan_smart.import
>>>>
>>>> #!/usr/bin/env python3
>>>>
>>>> """Import configuration."""
>>>>
>>>>
>>>> import sys
>>>>
>>>> from os import path
>>>>
>>>>
>>>> sys.path.insert(0, path.join(path.dirname(__file__)))
>>>>
>>>>
>>>> from beancount_reds_importers import vanguard
>>>>
>>>> from myimporters.bfsfcu import bfsfcu_bank
>>>>
>>>> from myimporters.anz import anz_bank
>>>>
>>>> from fund_info import *
>>>>
>>>> from smart_importer import apply_hooks, PredictPayees, PredictPostings
>>>>
>>>>
>>>> myBank_smart_importer =my_bank.Importer({
>>>>
>>>>         'main_account'   : 'Assets:US:Banks:Checking:myBank',
>>>>
>>>>         'account_number' : ''xxx'',
>>>>
>>>>         'transfer'       : 
>>>> 'Assets:US:Zero-Sum-Accounts:Transfers:Bank-Account',
>>>>
>>>>         'income'         : 'Income:US:Interest:myBank',
>>>>
>>>>         'fees'           : 'Expenses:US:Bank-Fees:myBank',
>>>>
>>>>         'rounding_error' : 'Equity:US:Rounding-Errors:Imports',
>>>>
>>>>     })
>>>>
>>>>
>>>> apply_hooks(myBank_smart_importer, [PredictPayees(), PredictPostings()])
>>>>
>>>> CONFIG = [myBank_smart_importer, ...(other importers)]
>>>>
>>>>
>>>> *5*. I was following the README documentation that said write 
>>>> bean-extract -f to invoke it on existing data. So I tried the following.* 
>>>> Is this right?*
>>>>
>>>> bean-extract jonathan_smart.import ~/staging/new_bank_data.qfx -f 
>>>> journal/myledger.beancount > ~/staging/dud.txt
>>>>
>>>> Cannot train the machine learning model because the training data is 
>>>> empty.
>>>>
>>>> Cannot train the machine learning model because the training data is 
>>>> empty.
>>>>
>>>>
>>>> The output is just like the normal output without all the smart_importer 
>>>> stuff.  Seems I'm doing something wrong as the staging/dud.txt doesn't 
>>>> have 
>>>> any predictions. 
>>>>
>>>>
>>>> Appreciate any assistance on this! 
>>>>
>>>>
>>>> thanks,
>>>>
>>>> Jonathan
>>>>
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