I am new to this group and just starting with Beancount (after reading the 
docs for 2+ years!).

After looking at the current state, I decided to jump right in with v3. My 
main focus at the moment is entry. I have about 20+ bank accounts and about 
200 transactions a month, many of which are automated or recurring, so it 
really makes no sense to enter them manually. Although I understand the 
idea behind the manual transaction entry philosophy.

Anyway, I am in Germany and there is a fairly widely used OSS software for 
collecting data from banks: Hibiscus (willuhn.de/products/hibiscus/). 
Hibiscus supports 90% of my bank APIs and I use it to retrieve transactions 
(but also to make transactions, change recurring payments, etc.). A very 
nice tool that I plan to continue using.

My fallback strategy for beancount ingestion would be the following:
1. Hibiscus H2 Database
2. OFXget
3. Manual CSV Download
(4. PDF parsing)

I am starting with the beangulp ingestion from the H2 Database. 

My question: I can use jaydebeapi to directly connect to the Hibiscus H2 DB 
from Python. I think this would be a single importer in beangulp, correct? 
I don't need bean-identify, because I know that I want to connect to the H2 
DB already. Given the Beangulp Example 
(https://github.com/beancount/beangulp/tree/master/examples), where would I 
best add the hook for the DB-connect - perhaps 
in process_extracted_entries()?

Also, I do not add categories (re: beancount accounts) to transactions in 
Hibiscus. This would be a manual step of assigning categories. I am 
wondering if this should be an ad hoc step once the data is in the 
beancount ledger, or if I should do it as part of the beangulp ingestion 
process. Are there any conventions for preferring one over the other?

Many thanks, Alex

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