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1154385916 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154385916 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ezof8 simonw 9599 2022-06-13T20:15:49Z 2022-06-13T20:15:49Z OWNER `rows_from_file()` isn't part of the documented API but maybe it should be! {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154386795 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154386795 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ezotr simonw 9599 2022-06-13T20:16:53Z 2022-06-13T20:16:53Z OWNER Steps to demonstrate that `sqlite-utils insert` is not affected: ```bash curl -o artsdatabanken.csv https://artsdatabanken.no/Fab2018/api/export/csv sqlite-utils insert arts.db artsdatabanken artsdatabanken.csv --sniff --csv --encoding utf-16le ``` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154387591 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154387591 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ezo6H simonw 9599 2022-06-13T20:17:51Z 2022-06-13T20:17:51Z OWNER I don't understand why that works but calling `insert_all()` does not. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154396400 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154396400 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5EzrDw simonw 9599 2022-06-13T20:28:25Z 2022-06-13T20:28:25Z OWNER Fixing that `key` thing (to ignore any key that is `None`) revealed a new bug: ``` File ~/Dropbox/Development/sqlite-utils/sqlite_utils/utils.py:376, in hash_record(record, keys) 373 if keys is not None: 374 to_hash = {key: record[key] for key in keys} 375 return hashlib.sha1( --> 376 json.dumps(to_hash, separators=(",", ":"), sort_keys=True, default=repr).encode( 377 "utf8" 378 ) 379 ).hexdigest() File ~/.pyenv/versions/3.8.2/lib/python3.8/json/__init__.py:234, in dumps(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw) 232 if cls is None: 233 cls = JSONEncoder --> 234 return cls( 235 skipkeys=skipkeys, ensure_ascii=ensure_ascii, 236 check_circular=check_circular, allow_nan=allow_nan, indent=indent, 237 separators=separators, default=default, sort_keys=sort_keys, 238 **kw).encode(obj) File ~/.pyenv/versions/3.8.2/lib/python3.8/json/encoder.py:199, in JSONEncoder.encode(self, o) 195 return encode_basestring(o) 196 # This doesn't pass the iterator directly to ''.join() because the 197 # exceptions aren't as detailed. The list call should be roughly 198 # equivalent to the PySequence_Fast that ''.join() would do. --> 199 chunks = self.iterencode(o, _one_shot=True) 200 if not isinstance(chunks, (list, tuple)): 201 chunks = list(chunks) File ~/.pyenv/versions/3.8.2/lib/python3.8/json/encoder.py:257, in JSONEncoder.iterencode(self, o, _one_shot) 252 else: 253 _iterencode = _make_iterencode( 254 markers, self.default, _encoder, self.indent, floatstr, 255 self.key_separator, self.item_separator, self.sort_keys, 256 self.skipkeys, _one_shot) --> 257 return _iterencode(o, 0) TypeError: '<' not supported between instances of 'NoneType' and 'str' ``` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154449442 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154449442 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez4Ai simonw 9599 2022-06-13T21:18:26Z 2022-06-13T21:20:12Z OWNER Here are full steps to replicate the bug: ```python from urllib.request import urlopen import sqlite_utils db = sqlite_utils.Database(memory=True) with urlopen("https://artsdatabanken.no/Fab2018/api/export/csv") as fab: reader, other = sqlite_utils.utils.rows_from_file(fab, encoding="utf-16le") db["fab2018"].insert_all(reader, pk="Id") ``` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154453319 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154453319 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez49H simonw 9599 2022-06-13T21:23:16Z 2022-06-13T21:23:16Z OWNER Aha! I think I see what's happening here. Here's what `DictReader` does if one of the lines has too many items in it: ```pycon >>> import csv, io >>> list(csv.DictReader(io.StringIO("id,name\n1,Cleo,nohead\n2,Barry"))) [{'id': '1', 'name': 'Cleo', None: ['nohead']}, {'id': '2', 'name': 'Barry'}] ``` See how that row with too many items gets this: `[{'id': '1', 'name': 'Cleo', None: ['nohead']}` That's a `None` for the key and (weirdly) a list containing the single item for the value! {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154454127 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154454127 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez5Jv simonw 9599 2022-06-13T21:24:18Z 2022-06-13T21:24:18Z OWNER That weird behaviour is documented here: https://docs.python.org/3/library/csv.html#csv.DictReader > If a row has more fields than fieldnames, the remaining data is put in a list and stored with the fieldname specified by *restkey* (which defaults to `None`). If a non-blank row has fewer fields than fieldnames, the missing values are filled-in with the value of *restval* (which defaults to `None`). {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154456183 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154456183 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez5p3 simonw 9599 2022-06-13T21:26:55Z 2022-06-13T21:26:55Z OWNER So I need to make a design decision here: what should `sqlite-utils` do with CSV files that have rows with more values than there are headings? Some options: - Ignore those extra fields entirely - silently drop that data. I'm not keen on this. - Throw an error. The library does this already, but the error is incomprehensible - it could turn into a useful, human-readable error instead. - Put the data in a JSON list in a column with a known name (`None` is not a valid column name, so not that). This could be something like `_restkey` or `_values_with_no_heading`. This feels like a better option, but I'd need to carefully pick a name for it - and come up with an answer for the question of what to do if the CSV file being important already uses that heading name for something else. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154457028 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154457028 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez53E simonw 9599 2022-06-13T21:28:03Z 2022-06-13T21:28:03Z OWNER Whatever I decide, I can implement it in `rows_from_file()`, maybe as an optional parameter - then decide how to call it from the `sqlite-utils insert` CLI (perhaps with a new option there too). {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154457893 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154457893 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez6El simonw 9599 2022-06-13T21:29:02Z 2022-06-13T21:29:02Z OWNER Here's the current function signature for `rows_from_file()`: https://github.com/simonw/sqlite-utils/blob/26e6d2622c57460a24ffdd0128bbaac051d51a5f/sqlite_utils/utils.py#L174-L179 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154474482 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154474482 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez-Hy simonw 9599 2022-06-13T21:50:59Z 2022-06-13T21:51:24Z OWNER Decision: I'm going to default to raising an exception if a row has too many values in it. You'll be able to pass `ignore_extras=True` to ignore those extra values, or pass `restkey="the_rest"` to stick them in a list in the `restkey` column. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1154475454 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1154475454 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5Ez-W- simonw 9599 2022-06-13T21:52:03Z 2022-06-13T21:52:03Z OWNER The exception will be called `RowError`. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155310521 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155310521 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E3KO5 simonw 9599 2022-06-14T14:58:50Z 2022-06-14T14:58:50Z OWNER Interesting challenge in writing tests for this: if you give `csv.Sniffer` a short example with an invalid row in it sometimes it picks the wrong delimiter! id,name\r\n1,Cleo,oops It decided the delimiter there was `e`. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155317293 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155317293 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E3L4t simonw 9599 2022-06-14T15:04:01Z 2022-06-14T15:04:01Z OWNER I think that's unavoidable: it looks like `csv.Sniffer` only works if you feed it a CSV file with an equal number of values in each row, which is understandable. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155350755 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155350755 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E3UDj simonw 9599 2022-06-14T15:25:18Z 2022-06-14T15:25:18Z OWNER That broke `mypy`: `sqlite_utils/utils.py:229: error: Incompatible types in assignment (expression has type "Iterable[Dict[Any, Any]]", variable has type "DictReader[str]")` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155358637 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155358637 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E3V-t simonw 9599 2022-06-14T15:31:34Z 2022-06-14T15:31:34Z OWNER Getting this past `mypy` is really hard! ``` % mypy sqlite_utils sqlite_utils/utils.py:189: error: No overload variant of "pop" of "MutableMapping" matches argument type "None" sqlite_utils/utils.py:189: note: Possible overload variants: sqlite_utils/utils.py:189: note: def pop(self, key: str) -> str sqlite_utils/utils.py:189: note: def [_T] pop(self, key: str, default: Union[str, _T] = ...) -> Union[str, _T] ``` That's because of this line: row.pop(key=None) Which is legit here - we have a dictionary where one of the keys is `None` and we want to remove that key. But the baked in type is apparently `def pop(self, key: str) -> str`. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155389614 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155389614 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E3diu simonw 9599 2022-06-14T15:54:03Z 2022-06-14T15:54:03Z OWNER Filed an issue against `python/typeshed`: - https://github.com/python/typeshed/issues/8075 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155666672 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155666672 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E4hLw simonw 9599 2022-06-14T20:11:52Z 2022-06-14T20:11:52Z OWNER I'm going to rename `restkey` to `extras_key` for consistency with `ignore_extras`. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155672675 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155672675 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E4ipj simonw 9599 2022-06-14T20:19:07Z 2022-06-14T20:19:07Z OWNER Documentation: https://sqlite-utils.datasette.io/en/latest/python-api.html#reading-rows-from-a-file {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 1, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  
1155767915 https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155767915 https://api.github.com/repos/simonw/sqlite-utils/issues/440 IC_kwDOCGYnMM5E455r simonw 9599 2022-06-14T22:22:27Z 2022-06-14T22:22:27Z OWNER I forgot to add equivalents of `extras_key=` and `ignore_extras=` to the CLI tool - will do that in a separate issue. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} CSV files with too many values in a row cause errors 1250629388  

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