You should post your code.
python3 -m finance_dl.cli --config-module mybasic_config --config myconfig
should look like this
config-module == mybasic_config.py
config is the name used (for the function) after CONFIG_ inside the
mybasic_config.py file
def CONFIG_myconfig():
return dict(
module='f',
credentials={
'username': '',
'password': '',
},
output_directory=os.path.join(data_dir, ''),
)
Op maandag 6 januari 2020 11:10:20 UTC+1 schreef Jonathan Goldman:
>
> This post was very helpful. I'm also a newbie and trying to get going on
> beancount. So far I have a working beancount main file with most of the
> accounts I want created. I have fava working too but focused more on just
> getting data in. I got both* beancount-import* and *finance-dl* installed
> but I can't get finance-dl to work.
>
> Here is the output I get when I run the finance_dl CLI:
>
> python3 -m finance_dl.cli --config-module mybasic_config --config myconfig
>
>
> Traceback (most recent call last):
>
> File
> "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py"
> , line 193, in _run_module_as_main
>
> "__main__", mod_spec)
>
> File
> "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/runpy.py"
> , line 85, in _run_code
>
> exec(code, run_globals)
>
> File
> "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/finance_dl/cli.py"
> , line 91, in <module>
>
> main()
>
> File
> "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/finance_dl/cli.py"
> , line 51, in main
>
> spec = getattr(config_module, config_key, None)()
>
> TypeError: 'NoneType' object is not callable
>
>
>
>
>
> On Sunday, January 5, 2020 at 2:55:15 PM UTC+13, Eugeniu Plamadeala wrote:
>>
>> On Saturday, January 4, 2020 at 3:46:09 PM UTC-8, Philip Curtis wrote:
>>>
>>> Yes, I've been wanting this for years, probably around 15! I'm
>>> experimenting with some OCR Python code but wondering if the time
>>> commitment would be unrealistic for me with also learning Beancount,
>>> implementing the two, working full time, and having a 3year old and another
>>> on the way.
>>> Seems like the project for someone single living in their basement <;
>>> Anyway, I'll continue to research the code.
>>>
>>
>> Let's hope someone steps up then.
>>
>>
>>> So the properly understand the workflow with Beancount, with I don't
>>> completely right now, one processes financial data in these steps?
>>> 1) Set up Beancount with all your income and expense accounts, the
>>> .beancount file(s) are now available
>>> 2) Implement Fava with Beancont
>>> 3) Host all files to your own website servers
>>> 4) Enter financial data through your website by text entry (or Fava GUI?)
>>> 5) Process and graph your financial data via Fava on your website
>>>
>>> Do I have this process correct or am I way off?
>>>
>>
>> Your steps look good, but some alternatives suggested below from personal
>> experience:
>> 3) I do not host files and Fava on a remote web server, but locally. It
>> is not necessary to host remotely, and since you seem to care about data
>> security, I suggest you keep everything on your machine.
>> Furthermore,
>> 4) I use the finance-dl package to automatically download all my
>> transactions, as often as I want. It takes a minute. I enter very few
>> transactions manually. Then, I use the beancount-import package (by the
>> same author) to import the transactions into my Beancount files. This part
>> is also very quick (at most 5 minutes per week). Paychecks are one class of
>> transactions that require significant manual adjustment.
>>
>> Hope this helps.
>>
>> On Saturday, January 4, 2020 at 5:17:37 PM UTC-6, ps150pta wrote:
>>>>
>>>> FWIW about a year ago I ran some experiments passing photos of Whole
>>>> Foods receipts through AWS Textract. It did pretty well but error rates
>>>> are
>>>> still relatively high, too high to be considered reliable enough to fit
>>>> into a "user-just-confirms" workflow. Some additional work on top of
>>>> Textract to build receipt-format-specific models could probably get there,
>>>> tho.
>>>>
>>>> Many cos are successfully processing receipt photos on a commercial
>>>> basis.
>>>>
>>>> PDFs that are machine produced are definitely processable with
>>>> commodity tools, the extraction for them works quite well.
>>>>
>>>> I suspect sometime in the next year or two someone will put together a
>>>> Jupyter notebook for doing the workflow you describe, building receipt
>>>> specific models on one of the ML platforms. The basic pieces are there,
>>>> it's at the level of being a solveable problem for a hobbyist.
>>>>
>>>>
>>>> On Sat, Jan 4, 2020, 5:12 PM Philip Curtis <[email protected]> wrote:
>>>>
>>>>> Thanks 😁
>>>>>
>>>>> Is #1 possible yet in any software technology yet?
>>>>>
>>>>> Thanks,
>>>>> Phil
>>>>>
>>>>> --
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>>>>> https://groups.google.com/d/msgid/beancount/e47bf4bb-62d0-4641-b0ea-edd4fe845f56%40googlegroups.com
>>>>> .
>>>>>
>>>>>
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