Exception: Datasette no longer accepts plugin configuration in --metadata. Move your "plugins" configuration blocks to a separate file - we suggest calling that datasette..json - and start Datasette with datasette -c datasette..json. See https://docs.datasette.io/en/latest/configuration.html for more details.

I think we should link directly to documentation that tells people how to perform this upgrade.

Originally posted by @simonw in https://github.com/simonw/datasette/issues/2190#issuecomment-1759947021

Opening db files in immutable mode sometimes leads to the file being mutated, which causes duplication in the docker image layers: see #1836, #1480

That this happens in "immutable" mode is surprising, because the sqlite docs say that setting this should open the database as read only.

https://www.sqlite.org/c3ref/open.html

immutable: The immutable parameter is a boolean query parameter that indicates that the database file is stored on read-only media. When immutable is set, SQLite assumes that the database file cannot be changed, even by a process with higher privilege, and so the database is opened read-only and all locking and change detection is disabled. Caution: Setting the immutable property on a database file that does in fact change can result in incorrect query results and/or SQLITE_CORRUPT errors. See also: SQLITE_IOCAP_IMMUTABLE.

Perhaps this is a bug in sqlite?

:books: Documentation preview :books:: https://datasette--1870.org.readthedocs.build/en/1870/

WIP

This PR builds on #5 to continue implementing gmail import support.

Building on @UtahDave's work, these commits add a few performance and bug fixes:

• Decreased memory overhead for import by manually parsing mbox headers.
• Fixed error where some messages in the mbox would yield a row with NULL in all columns.

I will send more commits to fix any errors I encounter as I run the importer on my personal takeout data.

I unfortunately was not successful to deploy to fly.io. Please see the details above of the three scenarios that I took. I am also new to datasette.

Failed to deploy. Attaching logs: 1. Tried with an app created via flyctl apps create frosty-fog-8565 and the ran datasette publish fly covid.db --app frosty-fog-8565 ``` Deploying frosty-fog-8565 ==> Validating app configuration --> Validating app configuration done Services TCP 80/443 ⇢ 8080

Error error connecting to docker: An unknown error occured.

Traceback (most recent call last): File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly__init__.py", line 156, in fly "--remote-only", File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpgcm8cz66\frosty-fog-8565' ```

1. Tried also with an app that gets autogenerate when running flyctl launch. This also generates the .toml file. Ran then datasette publish fly covid.db --app dark-feather-168 but different error now ```Deploying dark-feather-168 ==> Validating app configuration

Error not possible to validate configuration: server returned Post "https://api.fly.io/graphql": unexpected EOF

Traceback (most recent call last): File "c:\users\grott\anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec) exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette_publish_fly__init__.py", line 156, in fly "--remote-only", File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpnoyewcre\dark-feather-168' ```

These are also the contents of the generated .toml file in 2 scenario:

```

fly.toml file generated for dark-feather-168 on 2021-09-28T20:35:44+02:00

app = "dark-feather-168"

kill_signal = "SIGINT" kill_timeout = 5 processes = []

[env]

[experimental] allowed_public_ports = [] auto_rollback = true

[[services]] http_checks = [] internal_port = 8080 processes = ["app"] protocol = "tcp" script_checks = []

[services.concurrency] hard_limit = 25 soft_limit = 20 type = "connections"

[[services.ports]] handlers = ["http"] port = 80

[[services.ports]] handlers = ["tls", "http"] port = 443

[[services.tcp_checks]] grace_period = "1s" interval = "15s" restart_limit = 6 timeout = "2s" ```

1. But also trying datasette package covid.db to create a local DOCKERFILE to later try to push it via flyctl deploy fails as well.

```[+] Building 147.3s (11/11) FINISHED => [internal] load build definition from Dockerfile 0.2s => => transferring dockerfile: 396B 0.0s => [internal] load .dockerignore 0.1s => => transferring context: 2B 0.0s => [internal] load metadata for docker.io/library/python:3.8 4.7s => [auth] library/python:pull token for registry-1.docker.io 0.0s => [internal] load build context 0.1s => => transferring context: 82.37kB 0.0s => [1/5] FROM docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3 108.3s => => resolve docker.io/library/python:3.8@sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5 0.0s => => sha256:56182bcdf4d4283aa1f46944b4ef7ac881e28b4d5526720a4e9ba03a4730846a 2.22kB / 2.22kB 0.0s => => sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 54.93MB / 54.93MB 21.6s => => sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 10.87MB / 10.87MB 15.5s => => sha256:530de807b46a11734e2587a784573c12c5034f2f14025f838589e6c0e3b5c5b6 1.86kB / 1.86kB 0.0s => => sha256:ff08f08727e50193dcf499afc30594c47e70cc96f6fcfd1a01240524624264d0 8.65kB / 8.65kB 0.0s => => sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 5.15MB / 5.15MB 6.4s => => sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 54.57MB / 54.57MB 37.7s => => sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 196.45MB / 196.45MB 82.3s => => sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 6.29MB / 6.29MB 26.6s => => extracting sha256:955615a668ce169f8a1443fc6b6e6215f43fe0babfb4790712a2d3171f34d366 5.4s => => sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 16.81MB / 16.81MB 40.5s => => extracting sha256:2756ef5f69a5190f4308619e0f446d95f5515eef4a814dbad0bcebbbbc7b25a8 0.6s => => extracting sha256:911ea9f2bd51e53a455297e0631e18a72a86d7e2c8e1807176e80f991bde5d64 0.6s => => sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 232B / 232B 40.1s => => extracting sha256:27b0a22ee906271a6ce9ddd1754fdd7d3b59078e0b57b6cc054c7ed7ac301587 5.8s => => sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 2.35MB / 2.35MB 41.8s => => extracting sha256:8584d51a9262f9a3a436dea09ba40fa50f85802018f9bd299eee1bf538481077 18.8s => => extracting sha256:524774b7d3638702fe9ae0ea3fcfb81b027dfd75cc2fc14f0119e764b9543d58 1.2s => => extracting sha256:9460f6b75036e38367e2f27bb15e85777c5d6cd52ad168741c9566186415aa26 2.9s => => extracting sha256:9bc548096c181514aa1253966a330134d939496027f92f57ab376cd236eb280b 0.0s => => extracting sha256:1d87379b86b89fd3b8bb1621128f00c8f962756e6aaaed264ec38db733273543 0.8s => [2/5] COPY . /app 2.3s => [3/5] WORKDIR /app 0.2s => [4/5] RUN pip install -U datasette 26.9s => [5/5] RUN datasette inspect covid.db --inspect-file inspect-data.json 3.1s => exporting to image 1.2s => => exporting layers 1.2s => => writing image sha256:b5db0c205cd3454c21fbb00ecf6043f261540bcf91c2dfc36d418f1a23a75d7a 0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them Traceback (most recent call last): "main", mod_spec) File "c:\users\grott\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\grott\Anaconda3\Scripts\datasette.exe__main__.py", line 7, in <module> File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "c:\users\grott\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "c:\users\grott\anaconda3\lib\site-packages\datasette\cli.py", line 283, in package call(args) File "c:\users\grott\anaconda3\lib\contextlib.py", line 119, in exit next(self.gen) File "c:\users\grott\anaconda3\lib\site-packages\datasette\utils__init__.py", line 451, in temporary_docker_directory tmp.cleanup() File "c:\users\grott\anaconda3\lib\tempfile.py", line 811, in cleanup _shutil.rmtree(self.name) File "c:\users\grott\anaconda3\lib\shutil.py", line 516, in rmtree return _rmtree_unsafe(path, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 395, in _rmtree_unsafe _rmtree_unsafe(fullname, onerror) File "c:\users\grott\anaconda3\lib\shutil.py", line 404, in _rmtree_unsafe onerror(os.rmdir, path, sys.exc_info()) File "c:\users\grott\anaconda3\lib\shutil.py", line 402, in _rmtree_unsafe os.rmdir(path) PermissionError: [WinError 32] The process cannot access the file because it is being used by another process: 'C:\Users\grott\AppData\Local\Temp\tmpkb27qid3\datasette'```

It is increasingly being useful configuration options, when it started out as purely metadata.

Could cause confusion with the --config mechanism though - maybe that should be called "settings" instead?

The new options added in: - #577 Deserve consideration in the CLI as well.

https://github.com/simonw/sqlite-utils/blob/d2bcdc00c6ecc01a6e8135e775ffdb87572b802b/sqlite_utils/db.py#L1706-L1708

Refactored out the SQL for extracting aesthetic scores to use osxphotos -- adds compatbility for Big Sur via osxphotos which has been updated for new table names in Big Sur. Have not yet refactored the SQL for extracting labels which is still compatible with Big Sur.

Found myself using this pattern to quickly prototype a schema:

```python import sqlite_utils db = sqlite_utils.Database(memory=True)

print(db["answers_chunks"].create({ "id": int, "content": str, "embedding_type_id": int, "embedding": bytes, "embedding_content_md5": str, "source": str, }, pk="id", transform=True).schema) ```

Using replace=True to drop and then recreate the table would be neat here, and would be consistent with other places that use replace=True.

It's easy to misspell the name of a database or table and then be puzzled when the metadata settings silently fail.

To avoid this, let's sanity check the provided metadata.json on startup and quit with a useful error message if we find any obvious mistakes.

Hi! Let me firstly say that I am a big fan of your work -- I follow your tweets and blog posts with great interest 😄.

Now onto the matter at hand: I think it would be great if sqlite-utils included a merge or combine command, with the purpose of combining different SQLite databases into a single SQLite database. This way, the newly "merged" database would contain all differently named tables contained in the databases to be merged as-is, as well a concatenation of all tables of the same name.

This could look something like this:

bash sqlite-utils merge cats.db dogs.db > animals.db

I imagine this is rather straightforward if all databases involved in the merge contain differently named tables (i.e. no chance of conflicts), but things get slightly more complicated if two or more of the databases to be merged contain tables with the same name. Not only do you have to "do something" with the primary key(s), but these tables could also simply have different schemas (and therefore be incompatible for concatenation to begin with).

Anyhow, I would love your thoughts on this, and, if you are open to it, work together on the design and implementation!

https://sqlite-utils.datasette.io/en/2.14.1/ isn't showing a link to the stable release right now.

I should also apply the same fix I used for Datasette in: - https://github.com/simonw/datasette/issues/1608

TIL: https://til.simonwillison.net/readthedocs/link-from-latest-to-stable

It's going to shell out to osascript as seen in: - #1

I'm going with that option because https://appscript.sourceforge.io/status.html warns against the other potential methods:

Apple eliminated its Mac Automation department in 2016. The future of AppleScript and its related technologies is unclear. Caveat emptor.

But osascript looks pretty stable to me.

Add support for compound foreign keys, as per issue #117

Not sure if this is the right approach. In particular I'm unsure about:

• the new ForeignKey class, which replaces the namedtuple in order to ensure that column and other_column are forced into tuples. The class does the job, but doesn't feel very elegant.
• I haven't rewritten guess_foreign_table to take account of multiple columns, so it just checks for the first column in the foreign key definition. This isn't ideal.
• I haven't added any ability to the CLI to add compound foreign keys, it's only in the python API at the moment.

The PR also contains a minor related change that columns and tables are always quoted in foreign key definitions.

https://datatracker.ietf.org/doc/draft-ietf-httpapi-rfc7807bis/ is a brand new standard.

Since I need a neat, predictable format for my JSON errors, maybe I should use this one?

Idea is to have my existing scraper at https://github.com/simonw/scrape-hacker-news-by-domain also write to my private Datasette Cloud account, then create an atom feed from it.

Related: - #1768

I think this base image looks right: 3.11.0-slim-bullseye

We have many links inside our dataset (please don't blame us ;-).

When I use --settings truncate_cells_html 60 it is not working for the links.

Eg. https://images.openfoodfacts.org/images/products/000/000/000/088/nutrition_fr.5.200.jpg (87 chars) is not truncated:

IMHO It would make sense that links should be treated as HTML. The link should work of course, but Datasette could truncate it: https://images.openfoodfacts.org/images/products/00[...].jpg

On Discord: https://discord.com/channels/823971286308356157/996877076982415491/1022784534363787305

Hi! I'm attempting to write a plugin that would provide some statistics on text fields (most common words, etc). I would want this information displayed in the table pages, and (ideally) also updated when users make custom queries from the table pages.

It seems one way to do this would be to use the extra_template_vars hook, and make the appropriate SQL query there. So extra_template_vars would create a variable that is a list of most common words, and this is displayed on the page, possibly above the regular table view.

Is there a way that the plugin code can access the SQL query (or even the data) that was used to produce the table view? I can see that TableView class constructs the SQL query, but I can't seem to find a way to access that information from the objects that are available to extra_template_vars.

Hi,

I noticed the transform.table() method doesn't have an option to add/change or drop a check constraint (see https://sqlite.org/lang_createtable.html -> 3.7 Check Constraints. would be great to have this as an option!

:books: Documentation preview :books:: https://sqlite-utils--486.org.readthedocs.build/en/486/

https://github.com/simonw/datasette/blob/5db7ae3ce165ded57c7fb1cfbdb3258b1cf06c10/datasette/app.py#L1307-L1313

The getting started docs currently suggest you try this to browse your Chrome history:

datasette ~/Library/Application\ Support/Google/Chrome/Default/History

But if Chrome is running you will likely get this error:

sqlite3.OperationalError: database is locked

Turns out there's a workaround for this which I just spotted on the SQLite forum:

You can do this using a URI filename: sqlite3 'file:places.sqlite?mode=ro&nolock=1' That opens the file places.sqlite in read-only mode with locking disabled. This isn't safe, in that changes to the database made by other corrections are likely to cause this connection to return incorrect results or crash. Read-only mode should at least mean that you don't corrupt the database in the process.

I'm going to refactor this stuff out and document it so it can be easily used by plugins:

https://github.com/simonw/datasette/blob/4a4164b81191dec35e423486a208b05a9edc65e4/datasette/views/base.py#L69-L103

Originally posted by @simonw in https://github.com/simonw/datasette/issues/1660#issuecomment-1074136176

Refs #1661.

I pushed a release for https://github.com/simonw/sqlite-utils/releases/tag/3.25.1 but forgot to include the release notes in docs/changelog.rst

This means https://sqlite-utils.datasette.io/en/stable/changelog.html isn't showing them.

Refs #1439.

• [x] Build dash_encode / dash_decode functions
• [x] Use dash encoding for row primary keys
• [x] Use dash encoding for ?_next= pagination tokens
• [x] Use dash encoding for table names in URLs
• [x] Use dash encoding for database name
• ~~Implement redirects from previous % URLs that replace those with -~~ - separate issue: #1650

Closes #398

This adds SpatiaLite helpers to the CLI.

```sh

init spatialite when creating a database

sqlite-utils create database.db --enable-wal --init-spatialite

add geometry columns

needs a database, table, geometry column name, type, with optional SRID and not-null

this will throw an error if the table doesn't already exist

sqlite-utils add-geometry-column database.db table-name geometry --srid 4326 --not-null

spatial index an existing table/column

this will throw an error it the table and column don't exist

sqlite-utils create-spatial-index database.db table-name geometry ```

Docs and tests are included.

There are only a few classes that plugins need to import. It would be nice if these imports were as short and memorable as possible.

For example: python from datasette.app import Datasette from datasette.utils.asgi import Response Could both become: python from datasette import Datasette from datasette import Response

Can use /database/-/... namespace from #296

https://twitter.com/psychemedia/status/1481171650934714370

can extensions be passed their own cli args? eg --ext-tiddlywiki-dbname tiddlywiki2.sqlite ?

I've thought something like this might be useful for other plugins in the past, too.

Similar bug to #1525 (and #1506 before it). Start on https://latest.datasette.io/fixtures/facetable?_facet=_neighborhood - then select a neighborhood - then try to remove that filter using the little "x" and submitting the form again.

Every single piece of code I've written against the write APIs has used the block=True option to wait for the result.

Without that, it instead fires the write into the queue but then continues even before it has finished executing.

block=True should clearly be the default behaviour here!

The current syntax for ?_through= uses JSON to avoid any risk of confusion with table or column names that contain special characters.

This means you can't target a form field at it.

We should be able to support both - ?x.y.z=value for tables and columns with "regular" names, falling back to the current JSON syntax for columns or tables that won't work with the key/value syntax.

Not sure why this has only just started failing, but I'm getting this: https://github.com/simonw/sqlite-utils/runs/4488687639

``` E sqlite3.DatabaseError: database disk image is malformed

sqlite_utils/db.py:425: DatabaseError ___ test_rebuild_fts[searchable_fts] ___

fresh_db = <Database \<sqlite3.Connection object at 0x1084ea9d0>> table_to_fix = 'searchable_fts'

@pytest.mark.parametrize("table_to_fix", ["searchable", "searchable_fts"])
def test_rebuild_fts(fresh_db, table_to_fix):
    table = fresh_db["searchable"]
    table.insert(search_records[0])
    table.enable_fts(["text", "country"])
    # Run a search
    rows = list(table.search("tanuki"))
    assert len(rows) == 1
    assert {
        "rowid": 1,
        "text": "tanuki are running tricksters",
        "country": "Japan",
        "not_searchable": "foo",
    }.items() <= rows[0].items()
    # Delete from searchable_fts_data
    fresh_db["searchable_fts_data"].delete_where()
    # This should have broken the index
    with pytest.raises(sqlite3.DatabaseError):
        list(table.search("tanuki"))
    # Running rebuild_fts() should fix it

  fresh_db[table_to_fix].rebuild_fts()

```

For https://github.com/simonw/git-history/issues/12 I found myself wanting to pass extra options to lookup() to set the column order, primary key etc.

Refs #878 - starting out with the new AsyncBase class implementing a pytest-inspired asyncio parallel execution mechanism.

Confirmed: https://thesession.vercel.app/thesession?sql=select+*+from+tunes+where+name+like+%22%25wise+maid%25%22%0D%0A is a page where the URL correctly encoded % as %25 - but then in the HTML on that page that links to the CSV and JSON versions we get this:

html <p class="export-links">This data as <a href="/thesession.json?sql=select * from tunes where name like "%wise maid%"">json</a>, <a href="/thesession.csv?sql=select * from tunes where name like "%wise maid%"&_size=max">CSV</a> </p> Those CSV and JSON links are incorrect.

Originally posted by @simonw in https://github.com/simonw/datasette-publish-vercel/issues/48#issuecomment-900497579

This almost works, but it creates a rogue type record with a value of None. In [1]: import sqlite_utils In [2]: db = sqlite_utils.Database(memory=True) In [5]: db["creatures"].insert_all([ {"id": 1, "name": "Simon", "type": None}, {"id": 2, "name": "Natalie", "type": None}, {"id": 3, "name": "Cleo", "type": "dog"}], pk="id") Out[5]: <Table creatures (id, name, type)> In [7]: db["creatures"].extract("type") Out[7]: <Table creatures (id, name, type_id)> In [8]: list(db["creatures"].rows) Out[8]: [{'id': 1, 'name': 'Simon', 'type_id': None}, {'id': 2, 'name': 'Natalie', 'type_id': None}, {'id': 3, 'name': 'Cleo', 'type_id': 2}] In [9]: db["type"] Out[9]: <Table type (id, type)> In [10]: list(db["type"].rows) Out[10]: [{'id': 1, 'type': None}, {'id': 2, 'type': 'dog'}]

Originally posted by @simonw in https://github.com/simonw/sqlite-utils/issues/284#issuecomment-864416785

• Use sniff to detect CSV or TSV (if :tsv or :csv was not specified) and delimiters

Follow-on from #272

When executing "datasette publish heroku schools.db" on Windows 10, I get the following error

shell File "c:\users\dell\.virtualenvs\sec-schools-jn-cwk8z\lib\site-packages\datasette\publish\heroku.py", line 54, in heroku line.split()[0] for line in check_output(["heroku", "plugins"]).splitlines() File "c:\python38\lib\subprocess.py", line 411, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File "c:\python38\lib\subprocess.py", line 489, in run with Popen(*popenargs, **kwargs) as process: File "c:\python38\lib\subprocess.py", line 854, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, File "c:\python38\lib\subprocess.py", line 1307, in _execute_child hp, ht, pid, tid = _winapi.CreateProcess(executable, args, FileNotFoundError: [WinError 2] The system cannot find the file specified

Changing https://github.com/simonw/datasette/blob/55a6ffb93c57680e71a070416baae1129a0243b8/datasette/publish/heroku.py#L54

to

python line.split()[0] for line in check_output(["heroku", "plugins"], shell=True).splitlines()

as well as the other check_output() and call() within the same file leads me to another recursive error about temp files

Clicking "Hide this column" on fips on https://covid-19.datasettes.com/covid/ny_times_us_counties shows this error:

https://covid-19.datasettes.com/covid/ny_times_us_counties?_nocol=fips

Invalid SQL

no such column: fips

The reason is that https://covid-19.datasettes.com/-/metadata sets up the following:

json "ny_times_us_counties": { "sort_desc": "date", "facets": [ "state", "county", "fips" ], It's setting fips as a default facet, which breaks if you attempt to remove the column using ?_nocol.

Original title: "More" link for facets that shows the full set of results

The simplest way to do this will be to have it link to a generated SQL query.

Originally posted by @simonw in https://github.com/simonw/datasette/issues/1332#issuecomment-846479062

I need this for datasette-graphql for full compatibility with the way Relay likes to paginate - using cursors for paginating backwards as well as for paginating forwards.

This may be the kick I need to get Datasette pagination to work in reverse too. Originally posted by @simonw in https://github.com/simonw/datasette-graphql/issues/2#issuecomment-668305853

Don't think this has been covered here yet. I'm a little stumped with this one and can't tell if it's a bug or I have something misconfigured.

Oddly, when running locally the usual list of tables populates (i.e. at /charts a list of tables in charts.db). But when on the web server it throws an Invalid SQL error and "no such table: pragma_database_list" below.

All the url endpoints seem to work fine aside from this - individual tables (/charts/chart_one), as well as stored queries (/charts/query_one).

Not sure if this has anything to do with upgrading to Datasette 0.55, or something to do with our setup, which uses a metadata build script similar to the one for the 538 server, or something else.

Spotted this while testing https://github.com/simonw/datasette/issues/1249#issuecomment-808998719_

https://hub.docker.com/r/datasetteproject/datasette/tags?page=1&ordering=last_updated isn't showing the tags for any version more recent than 0.54.1 - we are up to 0.56 now.

But the :latest tag is for the new 0.56 release.

Original title: Easier way to update a row returned from .rows

Here's a surprisingly hard problem I ran into while trying to implement #239 - given a row returned by db[table].rows how can you update that row?

The problem is that the db[table].update(...) method requires a primary key. But if you have a row from the db[table].rows iterator it might not even contain the primary key - provided the table is a rowid table.

Instead, currently, you need to introspect the table and, if rowid is a primary key, explicitly include that in the select= argument to table.rows_where(...) - otherwise it will not be returned.

A utility mechanism to make this easier would be very welcome.

I came across this while about to open an issue and PR against the documentation for batch_size, which is a bit incomplete.

As mentioned in #145, while:

SQLITE_MAX_VARIABLE_NUMBER ... defaults to 999 for SQLite versions prior to 3.32.0 (2020-05-22) or 32766 for SQLite versions after 3.32.0.

it is common that it is increased at compile time. Debian-based systems, for example, seem to ship with a version of sqlite compiled with SQLITE_MAX_VARIABLE_NUMBER set to 250,000, and I believe this is the case for homebrew installations too.

In working to understand what batch_size was actually doing and why, I realized that by setting SQLITE_MAX_VARS in db.py to match the value my sqlite was compiled with (I'm on Debian), I was able to decrease the time to insert_all() my test data set (~128k records across 7 tables) from ~26.5s to ~3.5s. Given that this about .05% of my total dataset, this is time I am keen to save...

Unfortunately, it seems that sqlite3 in the python standard library doesn't expose the get_limit() C API (even though pysqlite used to), so it's hard to know what value sqlite has been compiled with (note that this could mean, I suppose, that it's less than 999, and even hardcoding SQLITE_MAX_VARS to the conservative default might not be adequate. It can also be lowered -- but not raised -- at runtime). The best I could come up with is echo "" | sqlite3 -cmd ".limits variable_number" (only available in sqlite >= 2015-05-07 (3.8.10)).

Obviously this couldn't be relied upon in sqlite_utils, but I wonder what your opinion would be about exposing SQLITE_MAX_VARS as a user-configurable parameter (with suitable "here be dragons" warnings)? I'm going to go ahead and monkey-patch it for my purposes in any event, but it seems like it might be worth considering.

Most Datasette instances only host a single database, but the current homepage design assumes that it should leave plenty of space for multiple databases:

Reconsider this design - should the default show more information?

The Covid-19 Datasette homepage looks particularly sparse I think: https://covid-19.datasettes.com/

In #981 I added data-column= attributes to the <th> on the table page. These should become part of Datasette's documented API so JavaScript plugin authors can use them to derive things about the tables shown on a page (`datasette-cluster-map uses them as-of https://github.com/simonw/datasette-cluster-map/issues/18).

The Apple Photos database has a ZCOMPUTEDASSETATTRIBUTES that looks absurdly interesting... it has calculated scores for every photo:

Feature request: Would it be possible to add an "edit this query" button on canned queries? Clicking it would open the canned query as an editable sql query. I think the intent is to have named parameters to allow this, but sometimes you just gotta rewrite it?

Refs #1023 datasette % git grep '"/"' -- '*.html' datasette/templates/error.html: <a href="/">home</a> datasette/templates/patterns.html: <a href="/">home</a> / datasette/templates/query.html: <a href="/">home</a> /

Similar to twitter-to-sqlite fetch, see https://github.com/dogsheep/twitter-to-sqlite/issues/51

The XML file exported from my phone has a Norwegian file name – eksport.xml 🙄

I can work around this by unpacking the zip and using --xml, but then I lose the workout points.

Perhaps this could be solved by --localized-xml eksport.xml? Alternatively just fall back to the first XML file in the root folder of the zip.

Several plugin hooks now expect plugins to return data in a specific shape - notably the new output format hook and the custom facet hook.

These use Python dictionaries right now but that's quite error prone: it would be good to have a mechanism that supported a more structured format.

Full list of current hooks is here: https://datasette.readthedocs.io/en/latest/plugins.html#plugin-hooks

Takes my test down from ten minutes to four seconds. Refs #172.

dbstat is a table that is usually available on SQLite giving statistics about the database. For example:

https://fivethirtyeight.datasettes.com/fivethirtyeight?sql=SELECT+*+FROM+%22dbstat%22+WHERE+name%3D%27bachelorette%2Fbachelorette%27%3B

| name | path | pageno | pagetype | ncell | payload | unused | mx_payload | pgoffset | pgsize | |---------------------------|--------|----------|------------|---------|-----------|----------|--------------|------------|----------| | bachelorette/bachelorette | / | 89 | internal | 13 | 0 | 3981 | 0 | 360448 | 4096 | | bachelorette/bachelorette | /000/ | 91 | leaf | 66 | 3792 | 32 | 74 | 368640 | 4096 | | bachelorette/bachelorette | /001/ | 92 | leaf | 67 | 3800 | 14 | 74 | 372736 | 4096 | | bachelorette/bachelorette | /002/ | 93 | leaf | 65 | 3717 | 46 | 70 | 376832 | 4096 | | bachelorette/bachelorette | /003/ | 94 | leaf | 68 | 3742 | 6 | 71 | 380928 | 4096 | | bachelorette/bachelorette | /004/ | 95 | leaf | 70 | 3696 | 42 | 66 | 385024 | 4096 | | bachelorette/bachelorette | /005/ | 96 | leaf | 69 | 3721 | 22 | 71 | 389120 | 4096 | | bachelorette/bachelorette | /006/ | 97 | leaf | 70 | 3737 | 1 | 72 | 393216 | 4096 | | bachelorette/bachelorette | /007/ | 98 | leaf | 69 | 3728 | 15 | 69 | 397312 | 4096 | | bachelorette/bachelorette | /008/ | 99 | leaf | 73 | 3715 | 8 | 64 | 401408 | 4096 | | bachelorette/bachelorette | /009/ | 100 | leaf | 73 | 3705 | 18 | 62 | 405504 | 4096 | | bachelorette/bachelorette | /00a/ | 101 | leaf | 75 | 3681 | 32 | 62 | 409600 | 4096 | | bachelorette/bachelorette | /00b/ | 102 | leaf | 77 | 3694 | 9 | 62 | 413696 | 4096 | | bachelorette/bachelorette | /00c/ | 103 | leaf | 74 | 3673 | 45 | 62 | 417792 | 4096 | | bachelorette/bachelorette | /00d/ | 104 | leaf | 5 | 228 | 3835 | 48 | 421888 | 4096 |

Other than direct select * from dbsat queries it is completely invisible.

It would be cool if https://fivethirtyeight.datasettes.com/fivethirtyeight/dbstat didn't 404 (on databases for which that table was available).

Useful for #16 (timeline view) since you can now filter to just the items on a specific day - but if there are more than 50 items you can't see them all.

https://github.com/simonw/datasette/runs/1043709494?check_suite_focus=true

• [x] This step should not run if a release is an alpha or beta
• [x] When it DOES run it should work
• [x] See it work for both an alpha and a non-alpha release, then close this ticket

Is there a way to make .insert_all() work properly when new columns are introduced outside the first 100 records (with or without the alter=True argument)?

I'm using .insert_all() to bulk insert ~3-4k records at a time and it is common for records to need to introduce new columns. However, if new columns are introduced after the first 100 records, sqlite_utils doesn't even raise the OperationalError: table ... has no column named ... exception; it just silently drops the extra data and moves on.

It took me a while to find this little snippet in the documentation for .insert_all() (it's not mentioned under Adding columns automatically on insert/update):

The column types used in the CREATE TABLE statement are automatically derived from the types of data in that first batch of rows. Any additional or missing columns in subsequent batches will be ignored.

I tried changing the batch_size argument to the total number of records, but it seems only to effect the number of rows that are committed at a time, and has no influence on this problem.

Is there a way around this that you would suggest? It seems like it should raise an exception at least.

e.g. https://travis-ci.org/github/simonw/datasette/jobs/717123725

Here's how it broke: --2020-08-12 03:08:17-- https://www.gaia-gis.it/gaia-sins/freexl-1.0.5.tar.gz Resolving www.gaia-gis.it (www.gaia-gis.it)... 212.83.162.51 Connecting to www.gaia-gis.it (www.gaia-gis.it)|212.83.162.51|:443... connected. HTTP request sent, awaiting response... 404 Not Found 2020-08-12 03:08:18 ERROR 404: Not Found. The command '/bin/sh -c wget "https://www.gaia-gis.it/gaia-sins/freexl-1.0.5.tar.gz" && tar zxf freexl-1.0.5.tar.gz && cd freexl-1.0.5 && ./configure && make && make install' returned a non-zero code: 8 The command "docker build -f Dockerfile -t $REPO:$TRAVIS_TAG ." exited with 8. 0.07s$ docker tag $REPO:$TRAVIS_TAG $REPO:latest Error response from daemon: No such image: [secure]/datasette:0.47.1 The command "docker tag $REPO:$TRAVIS_TAG $REPO:latest" exited with 1. 0.08s$ docker push $REPO The push refers to repository [docker.io/[secure]/datasette] An image does not exist locally with the tag: [secure]/datasette The command "docker push $REPO" exited with 1. cache.2 store build cache

https://github.com/dogsheep/github-to-sqlite/runs/837714622?check_suite_focus=true ``` Creating Revision.........................................................................................................................................failed Deployment failed ERROR: (gcloud.run.deploy) Cloud Run error: Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable. Logs for this revision might contain more information. Traceback (most recent call last): File "/opt/hostedtoolcache/Python/3.8.3/x64/bin/datasette", line 8, in <module> sys.exit(cli()) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 829, in call return self.main(args, kwargs) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(args, **kwargs) File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/site-packages/datasette/publish/cloudrun.py", line 138, in cloudrun check_call( File "/opt/hostedtoolcache/Python/3.8.3/x64/lib/python3.8/subprocess.py", line 364, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command 'gcloud run deploy --allow-unauthenticated --platform=managed --image gcr.io/datasette-222320/datasette github-to-sqlite' returned non-zero exit status 1.

[error]Process completed with exit code 1.

```

Got this error: File ".../python3.7/site-packages/sqlite_utils/db.py", line 462, in <dictcomp> for column in self.columns KeyError: 'REAL' .columns_dict uses REVERSE_COLUMN_TYPE_MAPPING: https://github.com/simonw/sqlite-utils/blob/43f1c6ab4e3a6b76531fb6f5447adb83d26f3971/sqlite_utils/db.py#L457-L463 REVERSE_COLUMN_TYPE_MAPPING defines FLOAT not REALA https://github.com/simonw/sqlite-utils/blob/43f1c6ab4e3a6b76531fb6f5447adb83d26f3971/sqlite_utils/db.py#L68-L74

Lots of detail in https://github.com/simonw/datasette-search-all/issues/2 - short version is that I have a plugin with its own index.html template and Datasette intermittently fails to load it and uses the default index.html that ships with Datasette instead.

Related:

• 689: "Templates considered" comment broken in >=0.35

• 693: Variables from extra_template_vars() not exposed in _context=1 (may as well fix this while I'm in there)

It's 3.26.0 at the moment: https://github.com/simonw/datasette/blob/af9cd4ca64652fae262e6f7b5d201f6e0adc989b/Dockerfile#L9-L11 Most recent release is 3.31.1: https://www.sqlite.org/releaselog/3_31_1.html

testing some data from european power information (entsoe.eu), the title of the csv contains square brackets. as I am playing with glitch, sqlite-utils are used for creating the db.

Traceback (most recent call last):

File "/app/.local/bin/sqlite-utils", line 8, in <module>

sys.exit(cli())

File "/app/.local/lib/python3.7/site-packages/click/core.py", line 764, in call

return self.main(*args, **kwargs)

File "/app/.local/lib/python3.7/site-packages/click/core.py", line 717, in main

rv = self.invoke(ctx)

File "/app/.local/lib/python3.7/site-packages/click/core.py", line 1137, in invoke

return _process_result(sub_ctx.command.invoke(sub_ctx))

File "/app/.local/lib/python3.7/site-packages/click/core.py", line 956, in invoke

return ctx.invoke(self.callback, **ctx.params)

File "/app/.local/lib/python3.7/site-packages/click/core.py", line 555, in invoke

return callback(*args, **kwargs)

File "/app/.local/lib/python3.7/site-packages/sqlite_utils/cli.py", line 434, in insert

default=default,

File "/app/.local/lib/python3.7/site-packages/sqlite_utils/cli.py", line 384, in insert_upsert_implementation

docs, pk=pk, batch_size=batch_size, alter=alter, **extra_kwargs

File "/app/.local/lib/python3.7/site-packages/sqlite_utils/db.py", line 997, in insert_all

extracts=extracts,

File "/app/.local/lib/python3.7/site-packages/sqlite_utils/db.py", line 618, in create

extracts=extracts,

File "/app/.local/lib/python3.7/site-packages/sqlite_utils/db.py", line 310, in create_table

self.conn.execute(sql)

sqlite3.OperationalError: unrecognized token: "]"

entsoe_2016.csv

renamed to txt for uploading compatibility

entsoe_2016.txt

code is remixed directly from your https://glitch.com/edit/#!/datasette-csvs repo

Sometimes a plugin will need to render a template for some custom UI. We need a documented API for doing this, which ensures that everything will work correctly if you extend base.html etc.

See also #576. This could be a .render() method on the Datasette class, but that feels a bit weird - should that class also take responsibility for rendering?

Cool project!

This fixes #136 using the suggested sql formatter library. I included the minified version in the bundle and added the relevant scripts to the codemirror includes instead of adding new files, though I could also add new files. I wanted to keep it all together, since the result of the format needs access to the editor in order to properly update the codemirror instance.

For each table we want to know the columns, their order and what type they are.

I'm going to break with SQLite defaults a little on this one and allow datasette to define additional types - to start with just a geometry type for columns that are detected as SpatiaLite geometries.

Possible JSON design:

"columns": [{
    "name": "title",
    "type": "text"
}, ...]

Refs #276

On attempting install on a Win 7 PC with py 3.6.2 (Anaconda dist) I get the error:

Collecting uvloop>=0.5.3 (from Sanic==0.7.0->datasette) Downloading uvloop-0.9.1.tar.gz (1.8MB) 100% |¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 1.8MB 12.8MB/s Complete output from command python setup.py egg_info: Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\RCole\AppData\Local\Temp\pip-build-juakfqt8\uvloop\setup.py ", line 10, in <module> raise RuntimeError('uvloop does not support Windows at the moment') RuntimeError: uvloop does not support Windows at the moment

Only available if arbitrary SQL is enabled (the default).

?_where=id in (1,2,3)&_where=id in (select tag_id from tags)

Allows any table (or view) page to have arbitrary additional extra_where clauses defined using the URL!

This would be extremely useful for building JavaScript applications against the Datasette API that only need on extra tiny bit of SQL but still want to benefit from other table view features like faceting.

Would be nice if this could take :named parameters and have them filled in via querystring as well.

The foreign_keys= argument to table.insert_all() and friends can be used to specify foreign key relationships that should be created.

It is not yet documented. It also requires you to specify the SQLite type of each column, even though this can be detected by introspecting the referenced table:

cols = [c for c in self.db[other_table].columns if c.name == other_column]
cols[0].type

Relates to #2

https://sebest.github.io/post/using-travis-ci-to-build-docker-images/

The generated Docker images can then just inherit from that. This will speed up deploys as no need to pip install anything.

• [x] Ship that image to Docker Hub
• [ ] Update the generated Dockerfile to use it

Imagine if this:

https://stateless-datasets-jykibytogk.now.sh/flights-07d1283/airports.jsono?country__contains=gu&_group_count=country

Turned into this:

https://stateless-datasets-jykibytogk.now.sh/flights-07d1283?sql=select%20country,%20count(*)%20as%20group_count_country%20from%20airports%20where%20country%20like%20%27%gu%%27%20group%20by%20country%20order%20by%20group_count_country%20desc

This would involve introducing a new precedent of query string arguments that start with an _ having special meanings. While we're at it, could try adding _fields=x,y,z

Tasks:

• [x] Get initial version working
• [ ] Refactor code to not just "pretend to be a view"
• [ ] Get foreign key relationships expanded

Consider https://datasette-issue-190-compound-pks.now.sh/compound-pks-9aafe8f/compound_primary_key

The next= link is to d,v:

https://datasette-issue-190-compound-pks.now.sh/compound-pks-9aafe8f/compound_primary_key?_next=d%2Cv

But that page starts with:

The next key in the sequence should be d,w. Also we should return the full a-z of the ones that start with the letter e - in this example we only return e-w, e-x, e-y and e-z