I now understand...
--config myconfig means execute a specific bank in your file....e.g.
--config schwab to then runs that module in your file.
I thought it was fetching* all of them* and didn't understand what the
--config myconfig was doing.
thanks!
On Tuesday, January 7, 2020 at 6:02:34 AM UTC+13, IImayneII wrote:
>
> 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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