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613755043 MDU6SXNzdWU2MTM3NTUwNDM= 110 Support decimal.Decimal type dvhthomas 134771 closed 0     6 2020-05-07T03:57:19Z 2020-05-11T01:58:20Z 2020-05-11T01:50:11Z NONE  

Decimal types in Postgres cause a failure in db.py data type selection

I have a Django app using a MoneyField, which uses a numeric(14,0) data type in Postgres (https://www.postgresql.org/docs/9.3/datatype-numeric.html). When attempting to export that table I get the following error:

bash $ db-to-sqlite --table isaweb_proposal "postgres://connection" test.db .... column_type=COLUMN_TYPE_MAPPING[column_type], KeyError: <class 'decimal.Decimal'>

Looking at sql_utils.db.py at 292-ish it's clear that there is no matching type for what I assume SQLAlchemy interprets as Python decimal.Decimal.

From the SQLite docs it looks like DECIMAL in other DBs are considered numeric.

I'm not quite sure if it's as simple as adding a data type to that list or if there are repercussions beyond it.

Thanks for a great tool!

 sqlite-utils 140912432 issue     
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555832585 MDU6SXNzdWU1NTU4MzI1ODU= 661 --port option to expose a port other than 8001 in "datasette package" dvhthomas 134771 closed 0     3 2020-01-27T21:05:56Z 2020-01-30T04:17:52Z 2020-01-29T22:46:45Z NONE  

I see how to alter the port using datasette serve -p XXX per the docs. However, I'm packaging up to server the container on AppEngine flexible, which requires that the container is serving traffic on port 8080.

https://github.com/simonw/datasette/blob/7950105c278b140e6cb665c68b59df219870f9bc/Dockerfile#L41

Is there a way to inject a non-default port into the Dockerfile, or should I just do something like sed to replace 8001 with 8080 after dataset package has done it's thing? Thanks for the advice.

 datasette 107914493 issue     
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