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| id ▼ | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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](https://cloud.google.com/appengine/docs/flexible/custom-runtimes/build#listening_to_port_8080) 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 | {"url": "https://api.github.com/repos/simonw/datasette/issues/661/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed | ||||||
| 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](https://www.sqlite.org/datatype3.html#affinity_name_examples) 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 | {"url": "https://api.github.com/repos/simonw/sqlite-utils/issues/110/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | completed |
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