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
806861312,MDExOlB1bGxSZXF1ZXN0NTcyMjA5MjQz,1222,"--ssl-keyfile and --ssl-certfile, refs #1221",9599,closed,0,,,0,2021-02-12T00:45:58Z,2021-02-12T00:52:18Z,2021-02-12T00:52:17Z,OWNER,simonw/datasette/pulls/1222,,107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1222/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
806918878,MDExOlB1bGxSZXF1ZXN0NTcyMjU0MTAz,1223,Add compile option to Dockerfile to fix failing test (fixes #696),7476523,closed,0,,,2,2021-02-12T03:38:05Z,2021-03-07T12:01:12Z,2021-03-07T07:41:17Z,CONTRIBUTOR,simonw/datasette/pulls/1223,"This test was failing when run inside the Docker container: `test_searchable[/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw-expected_rows3]`,

with this error:

```
    def test_searchable(app_client, path, expected_rows):
        response = app_client.get(path)
>       assert expected_rows == response.json[""rows""]
E       AssertionError: assert [[1, 'barry c...sel', 'puma']] == []
E         Left contains 2 more items, first extra item: [1, 'barry cat', 'terry dog', 'panther']
E         Full diff:
E         + []
E         - [[1, 'barry cat', 'terry dog', 'panther'],
E         -  [2, 'terry dog', 'sara weasel', 'puma']]
```

The issue was that the version of sqlite3 built inside the Docker container was built with FTS3 and FTS4 enabled, but without the
`SQLITE_ENABLE_FTS3_PARENTHESIS` compile option passed, which adds support for using `AND` and `NOT` within `match` expressions (see https://sqlite.org/fts3.html#compiling_and_enabling_fts3_and_fts4 and https://www.sqlite.org/compile.html).

Without this, the `AND` used in the search in this test was being interpreted as a literal string, and so no matches were found. Adding this compile option fixes this.

---

I actually ran into this issue because the same test was failing when I ran the test suite on my own machine, outside of Docker, and so I eventually tracked this down to my system sqlite3 also being compiled without this option.

I wonder if this is a sign of a slightly deeper issue, that Datasette can silently behave differently based on the version and compilation of sqlite3 it is being used with. On my own system I fixed the test suite by running `pip install pysqlite3-binary`, so that this would be picked up instead of the `sqlite` package, as this seems to be compiled using this option, . Maybe using `pysqlite3-binary` could be installed/recommended by default so a more deterministic version of sqlite is used? Or there could be some feature detection done on the available sqlite version, to know what features are available and can be used/tested?",107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1223/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,
806849424,MDU6SXNzdWU4MDY4NDk0MjQ=,1221,Support SSL/TLS directly,9599,closed,0,,,4,2021-02-12T00:18:29Z,2022-12-18T02:39:04Z,2021-02-12T00:52:18Z,OWNER,,This should be pretty easy because Uvicorn supports them already. Need a good mechanism for testing it - https://pypi.org/project/trustme/ looks ideal.,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1221/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
807433181,MDU6SXNzdWU4MDc0MzMxODE=,1224,can't start immutable databases from configuration dir mode,295329,closed,0,,,0,2021-02-12T17:50:13Z,2021-03-29T00:17:31Z,2021-03-29T00:17:31Z,CONTRIBUTOR,,"Say I have a `/databases/` directory with multiple sqlite db files in that dir (`1.db` & `2.db`) and an `inspect-data.json` file.

If I start datasette via `datasette -h 0.0.0.0 /databases/` then the resulting databases are set to `is_mutable: true` as inspected via http://127.0.0.1:8001/-/databases.json

I don't want to have to list out the databases by name, e.g. `datasette -i /databases/1.db -i /databases/2.db` as i want the system to autodetect the sqlite dbs i have in the configuration directory 

According to the docs outlined in https://docs.datasette.io/en/latest/settings.html?highlight=immutable#configuration-directory-mode this should be possible
> `inspect-data.json` the result of running datasette inspect - any database files listed here will be treated as immutable, so they should not be changed while Datasette is running
 
I believe that if the `inspect-json.json` file present, then in theory the databases will be automatically set to immutable via this code https://github.com/simonw/datasette/blob/9603d893b9b72653895318c9104d754229fdb146/datasette/app.py#L211-L216

However it appears the Click Multiple Options will return a tuple via https://github.com/simonw/datasette/blob/9603d893b9b72653895318c9104d754229fdb146/datasette/cli.py#L311-L317

The resulting tuple is passed to the Datasette app via `kwargs` and overrides the behaviour to set the databases to immutable via this arg https://github.com/simonw/datasette/blob/9603d893b9b72653895318c9104d754229fdb146/datasette/app.py#L182

If you think this is a bug and needs fixing, I am willing to make a PR to check for the empty `immutable` tuple before calling the Datasette class initializer as I think leaving that class interface alone is the best path here.

Thoughts?

Also - i'm loving Datasette, it truly is a wonderful tool, thank you :)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1224/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
807437089,MDU6SXNzdWU4MDc0MzcwODk=,228,--no-headers option for CSV and TSV,9599,closed,0,,,10,2021-02-12T17:56:51Z,2021-12-26T07:01:31Z,2021-02-14T22:25:17Z,OWNER,,"https://bl.iro.bl.uk/work/ns/3037474a-761c-456d-a00c-9ef3c6773f4c has a fascinating CSV file that doesn't have a header row - it starts like this:

```csv
Computation and measurement of turbulent flow through idealized turbine blade passages,,""Loizou, Panos A."",https://isni.org/isni/0000000136122593,,University of Manchester,https://isni.org/isni/0000000121662407,1989,Thesis (Ph.D.),,Physical Sciences,,,https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232781,
""Prolactin and growth hormone secretion in normal, hyperprolactinaemic and acromegalic man"",,""Prescott, R. W. G."",https://isni.org/isni/0000000134992122,,University of Newcastle upon Tyne,https://isni.org/isni/0000000104627212,1983,Thesis (Ph.D.),,Biological Sciences,,,https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.232784,
```

It would be useful if `sqlite-utils insert ... --csv` had a mechanism for importing files like this one.",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/228/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
807174161,MDU6SXNzdWU4MDcxNzQxNjE=,227,Error reading csv files with large column data,295329,closed,0,,,4,2021-02-12T11:51:47Z,2021-02-16T11:48:03Z,2021-02-14T21:17:19Z,NONE,,"*Feel free to close this issue - I mostly added it for reference for future folks that run into this :)*

I have a CSV file with one column that has very long strings.  When i try to import this file via the `insert` command I get the following error: 
```
sqlite-utils insert database.db table_name file_with_large_column.csv

Traceback (most recent call last):
  File ""/usr/local/bin/sqlite-utils"", line 10, in <module>
    sys.exit(cli())
  File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 829, in __call__
    return self.main(*args, **kwargs)
  File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 782, in main
    rv = self.invoke(ctx)
  File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File ""/usr/local/lib/python3.7/site-packages/click/core.py"", line 610, in invoke
    return callback(*args, **kwargs)
  File ""/usr/local/lib/python3.7/site-packages/sqlite_utils/cli.py"", line 774, in insert
    default=default,
  File ""/usr/local/lib/python3.7/site-packages/sqlite_utils/cli.py"", line 705, in insert_upsert_implementation
    docs, pk=pk, batch_size=batch_size, alter=alter, **extra_kwargs
  File ""/usr/local/lib/python3.7/site-packages/sqlite_utils/db.py"", line 1852, in insert_all
    first_record = next(records)
  File ""/usr/local/lib/python3.7/site-packages/sqlite_utils/cli.py"", line 703, in <genexpr>
    docs = (decode_base64_values(doc) for doc in docs)
  File ""/usr/local/lib/python3.7/site-packages/sqlite_utils/cli.py"", line 681, in <genexpr>
    docs = (dict(zip(headers, row)) for row in reader)
_csv.Error: field larger than field limit (131072)
```
Built with the docker image `datasetteproject/datasette:0.54` with the following versions:
```
# sqlite-utils --version
sqlite-utils, version 3.4.1

# datasette --version
datasette, version 0.54
```
It appears this is a [known issue](https://stackoverflow.com/a/54517228/2761423) reading in csv files in python and [doesn't look to be modifiable](https://github.com/python/cpython/blob/ea46579067fd2d4e164d6605719ffec690c4d621/Modules/_csv.c#L1685) through system / env vars (i may be very wrong on this).

Noting that using sqlite3 `import` command work without error (not using the python csv reader)
```
sqlite3 database.db
sqlite> .mode csv
sqlite> .import file_with_large_column.csv table_name
```
Sadly I couldn't see an easy way around this while using the cli as it appears this value needs to be changed in python code. FWIW I've switched to using https://datasette.io/tools/csvs-to-sqlite for importing csv data and it's working well. 

Finally, I'm loving https://datasette.io/ thank you very much for an amazing tool and data ecosytem 🙇‍♀️ ",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/227/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed