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3 rows where "closed_at" is on date 2023-05-08 and comments = 5 sorted by updated_at descending
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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 |
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1578790070 | I_kwDOCGYnMM5eGmy2 | 527 | `Table.convert()` skips falsey values | mcarpenter 167893 | closed | 0 | 5 | 2023-02-10T00:00:52Z | 2023-05-09T21:15:05Z | 2023-05-08T21:03:24Z | CONTRIBUTOR | SummaryBy design, ExampleIncrement a column of integers by one ``` python from sqlite_utils import Database db = Database(memory=True) table = db['table'] col = 'x' table.insert_all([{col: 0}, {col:1}]) print(table.get(1)) # 0 print(table.get(2)) # 1 print() table.convert(col, lambda x: x+1) print(table.get(1)) # got 0, expected 1 ⚠⚠⚠ print(table.get(2)) # got 2, expected 2 ``` Another example might be, say, transforming cells containing empty string to DiscussionThis was, I think, a pragmatic choice so that consumers can skip writing guard clauses for these falsey values (particularly from the CLI). But this surprising undocumented behavior can lead to incorrect data. I don't think this is a good trade-off between convenience and correctness. In the absence of this convenience users will either have to write guard clauses into their conversion expressions (or adapt the called function to do the same), so:
Such a change will certainly inconvenience some existing consumers; there will be some breakage. But I think this is worth it to avoid quietly not converting some values by default, which can lead to quietly bad data. I have a PR that I will attach, please take a look and see what you think. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/527/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1279144769 | I_kwDOCGYnMM5MPjNB | 448 | Reading rows from a file => AttributeError: '_io.StringIO' object has no attribute 'readinto' | mungewell 236907 | closed | 0 | 5 | 2022-06-21T21:48:27Z | 2023-05-08T22:01:00Z | 2023-05-08T22:01:00Z | NONE | Attempting to run the example given here (without extra bracket ;-): https://sqlite-utils.datasette.io/en/stable/python-api.html#reading-rows-from-a-file ``` from sqlite_utils.utils import rows_from_file import io rows, format = rows_from_file(io.StringIO("id,name\n1,Cleo")) print(list(rows), format) Outputs [{'id': '1', 'name': 'Cleo'}] Format.CSV``` Gives error ```
I am running Python on Windows. ```
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sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/448/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1465194249 | I_kwDOCGYnMM5XVRcJ | 514 | upsert of new row with check constraints fails | cldellow 193185 | closed | 0 | 5 | 2022-11-26T16:12:23Z | 2023-05-08T21:50:52Z | 2023-05-08T21:50:51Z | NONE | (I originally opened this in https://github.com/simonw/datasette-insert/issues/20, but I see that that library depends on sqlite-utils) In the case of a new row, upsert first adds the row, specifying only its pkeys: https://github.com/simonw/sqlite-utils/blob/965ca0d5f5bffe06cc02cd7741344d1ddddf9d56/sqlite_utils/db.py#L2783-L2787 This means that a table with NON NULL (or other constraint) columns that aren't part of the pkey can't have new rows upserted. |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/514/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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