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 2028698018,I_kwDOBm6k_c5463mi,2213,feature request: gzip compression of database downloads,536941,open,0,,,1,2023-12-06T14:35:03Z,2023-12-06T15:05:46Z,,CONTRIBUTOR,,"At the bottom of database pages, datasette gives users the opportunity to download the underlying sqlite database. It would be great if that could be served gzip compressed. this is similar to #1213, but for me, i don't need datasette to compress html and json because my CDN layer does it for me, however, cloudflare at least, will not compress a mimetype of ""application"" (see list of mimetype: https://developers.cloudflare.com/speed/optimization/content/brotli/content-compression/)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2213/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1994857251,I_kwDOBm6k_c525xsj,2208,No suggested facets when a column named 'value' is included,198537,open,0,,,1,2023-11-15T14:11:17Z,2023-11-15T14:18:59Z,,CONTRIBUTOR,,"When a column named 'value' is included there are no suggested facets is shown as the query uses an alias of 'value'. https://github.com/simonw/datasette/blob/452a587e236ef642cbc6ae345b58767ea8420cb5/datasette/facets.py#L168-L174 Currently the following is shown (from https://latest.datasette.io/fixtures/facetable) ![image](https://github.com/simonw/datasette/assets/198537/a919509a-ea88-461b-b25b-8b776720c7c5) When I add a column named 'value' only the JSON facets are processed. ![image](https://github.com/simonw/datasette/assets/198537/092bd0b3-4c20-434e-88f8-47e2b8994a1d) I think that not using aliases could be a solution (except if someone wants to use a column named `count(*)` though this seems to be unlikely). I'll open a PR with that. There is also a TODO with a similar question in the same file. I have not looked into that yet. https://github.com/simonw/datasette/blob/452a587e236ef642cbc6ae345b58767ea8420cb5/datasette/facets.py#L512",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2208/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 959137143,MDU6SXNzdWU5NTkxMzcxNDM=,1415,feature request: document minimum permissions for service account for cloudrun,536941,open,0,,,4,2021-08-03T13:48:43Z,2023-11-05T16:46:59Z,,CONTRIBUTOR,,"Thanks again for such a powerful project. For deploying to cloudrun from github actions, I'd like to create a service account with minimal permissions. It would be great to document what those minimum permission that need to be set in the IAM. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1415/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1163369515,I_kwDOBm6k_c5FV5wr,1655,query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data,536941,open,0,,,8,2022-03-09T00:56:40Z,2023-10-17T21:53:17Z,,CONTRIBUTOR,,"[this page](https://labordata.bunkum.us/opdr-8335ea3?sql=with+most_recent_lu+as+%28%0D%0A++select%0D%0A++++*%0D%0A++from%0D%0A++++%28%0D%0A++++++select%0D%0A++++++++*%0D%0A++++++from%0D%0A++++++++lm_data%0D%0A++++++order+by%0D%0A++++++++f_num%2C%0D%0A++++++++receive_date+desc%0D%0A++++%29+t%0D%0A++group+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++aff_abbr+%7C%7C+coalesce%28%27+local+%27+%7C%7C+desig_num%2C+%27+%27+%7C%7C+unit_name%29+as+abbr_local_name%2C%0D%0A++coalesce%28%0D%0A++++regexp_match%28%27%28.*%3F%29%28%2C%3F+AFL-CIO%24%29%27%2C+union_name%29%2C%0D%0A++++regexp_match%28%27%28.*%3F%29%28+IND%24%29%27%2C+union_name%29%2C%0D%0A++++union_name%0D%0A++%29+%7C%7C+coalesce%28%27+local+%27+%7C%7C+desig_num%2C+%27+%27+%7C%7C+unit_name%29+as+full_local_name%2C%0D%0A++*%0D%0Afrom%0D%0A++most_recent_lu%0D%0Awhere+%28desig_num+IS+NOT+NULL+OR+unit_name+IS+NOT+NULL%29+AND+desig_name+%21%3D+%27HQ%27%0D%0Alimit%0D%0A++5000+offset+0) is using about 400 mb in firefox 97 on mac os x. if you download the html for the page, it's about 11mb and if you get the csv for the data its about 1mb. it's using over a 1G on chrome 99. i found this because, i was trying to figure out why editing the SQL was getting very slow. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1655/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1900026059,I_kwDOBm6k_c5xQBjL,2188,"Plugin Hooks for ""compile to SQL"" languages",15178711,open,0,,,2,2023-09-18T01:37:15Z,2023-09-18T06:58:53Z,,CONTRIBUTOR,,"There's a ton of tools/languages that compile to SQL, which may be nice in Datasette. Some examples: - Logica https://logica.dev - PRQL https://prql-lang.org - Malloy, but not sure if it works with SQLite? https://github.com/malloydata/malloy It would be cool if plugins could extend Datasette to use these languages, in both the code editor and API usage. A few things I'd imagine a `datasette-prql` or `datasette-logica` plugin would do: - `prql=` instead of `sql=` - Code editor support (syntax highlighting, autocomplete) - Hide/show SQL",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2188/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1781530343,I_kwDOBm6k_c5qL_7n,2093,"Proposal: Combine settings, metadata, static, etc. into a single `datasette.yaml` File",15178711,open,0,,,8,2023-06-29T21:18:23Z,2023-09-11T20:19:32Z,,CONTRIBUTOR,,"Very often I get tripped up when trying to configure my Datasette instances. For example: if I want to change the port my app listen too, do I do that with a CLI flag, a `--setting` flag, inside `metadata.json`, or an env var? If I want to up the time limit of SQL statements, is that under `metadata.json` or a setting? Where does my plugin configuration go? Normally I need to look it up in Datasette docs, and I quickly find my answer, but the number of places where ""config"" goes it overwhelming. - Flat CLI flags like `--port`, `--host`, `--cors`, etc. - `--setting`, like `default_page_size`, `sql_time_limit_ms` etc - Inside `metadata.json`, including plugin configuration Typically my Datasette deploys are extremely long shell commands, with multiple `--setting` and other CLI flags. ## Proposal: Consolidate all ""config"" into `datasette.toml` I propose that we add a new `datasette.toml` that combines ""settings"", ""metadata"", and other common CLI flags like `--port` and `--cors` into a single file. It would be similar to ""Cargo.toml"" in Rust projects, ""package.json"" in Node projects, and ""pyproject.toml"" in Python, etc. A sample of what it could look like: ```toml # ""top level"" configuration that are currently CLI flags on `datasette serve` [config] port = 8020 host = ""0.0.0.0"" cors = true # replaces multiple `--setting` flags [settings] base_url = ""/app/datasette/"" default_allow_sql = true sql_time_limit_ms = 3500 # replaces `metadata.json`. # The contents of datasette-metadata.json could be defined in this file instead, but supporting separate files is nice (since those are easy to machine-generate) [metadata] include=""./datasette-metadata.json"" # plugin-specific [plugins] [plugins.datasette-auth-github] client_id = {env = ""DATASETTE_AUTH_GITHUB_CLIENT_ID""} client_secret = {env = ""GITHUB_CLIENT_SECRET""} [plugins.datasette-cluster-map] latitude_column = ""lat"" longitude_column = ""lon"" ``` ## Pros - Instead of multiple files and CLI flags, everything could be in one tidy file - Editing config in a separate file is easier than editing CLI flags, since you don't have to kill a process + edit a command every time - New users will know ""just edit my `datasette.toml` instead of needing to learn metadata + settings + CLI flags - Better dev experience for multiple environment. For example, could have `datasette -c datasette-dev.toml` for local dev environments (enables SQL, debug plugins, long timeouts, etc.), and a `datasette -c datasette-prod.toml` for ""production"" (lower timeouts, less plugins, monitoring plugins, etc.) ## Cons - Yet another config-management system. Now Datasette users will need to know about metadata, settings, CLI flags, _and_ `datasette.toml`. However with enough documentation + announcements + examples, I think we can get ahead of it. - If toml is chosen, would need to add a toml parser for Python version <3.11 - Multiple sources of config require priority. For example: Would `--setting default_allow_sql off` override the value inside `[settings]`? What about `--port`? ## Other Notes ### Toml I chose toml over json because toml supports comments. I chose toml over yaml because Python 3.11 has builtin support for it. I also find toml easier to work with since it doesn't have the odd ""gotchas"" that YAML has (""ex `3.10` resolving to `3.1`, Norway `NO` resolving to `false`, etc.). It also mimics `pyproject.toml` which is nice. Happy to change my mind about this however ### Plugin config will be difficult Plugin config is currently in `metadata.json` in two places: 1. Top level, under `""plugins.[plugin-name]""`. This fits well into `datasette.toml` as `[plugins.plugin-name]` 2. Table level, under `""databases.[db-name].tables.[table-name].plugins.[plugin-name]`. This doesn't fit that well into `datasette.toml`, unless it's nested under `[metadata]`? ### Extensions, static, one-off plugins? We could also include equivalents of `--plugins-dir`, `--static`, and `--load-extension` into `datasette.toml`, but I'd imagine there's a few security concerns there to think through. ### Explicitly list with plugins to use? I believe Datasette by default will load all install plugins on startup, but maybe `datasette.toml` can specify a list of plugins to use? For example, a dev version of `datasette.toml` can specify `datasette-pretty-traces`, but the prod version can leave it out",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2093/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1865869205,I_kwDOBm6k_c5vNueV,2157,"Proposal: Make the `_internal` database persistent, customizable, and hidden",15178711,open,0,,,3,2023-08-24T20:54:29Z,2023-08-31T02:45:56Z,,CONTRIBUTOR,,"The current `_internal` database is used by Datasette core to cache info about databases/tables/columns/foreign keys of databases in a Datasette instance. It's a temporary database created at startup, that can only be seen by the root user. See an [example `_internal` DB here](https://latest.datasette.io/_internal), after [logging in as root](https://latest.datasette.io/login-as-root). The current `_internal` database has a few rough edges: - It's part of `datasette.databases`, so many plugins have to specifically exclude `_internal` from their queries [examples here](https://github.com/search?q=datasette+hookimpl+%22_internal%22+language%3APython+-path%3Adatasette%2F&ref=opensearch&type=code) - It's only used by Datasette core and can't be used by plugins or 3rd parties - It's created from scratch at startup and stored in memory. Why is fine, the performance is great, but persistent storage would be nice. Additionally, it would be really nice if plugins could use this `_internal` database to store their own configuration, secrets, and settings. For example: - `datasette-auth-tokens` [creates a `_datasette_auth_tokens` table](https://github.com/simonw/datasette-auth-tokens/blob/main/datasette_auth_tokens/__init__.py#L15) to store auth token metadata. This could be moved into the `_internal` database to avoid writing to the gues database - `datasette-socrata` [creates a `socrata_imports`](https://github.com/simonw/datasette-socrata/blob/1409aa9b4d2fc3aff286b52e73af33b5786d56d0/datasette_socrata/__init__.py#L190-L198) table, which also can be in `_internal` - `datasette-upload-csvs` [creates a `_csv_progress_`](https://github.com/simonw/datasette-upload-csvs/blob/main/datasette_upload_csvs/__init__.py#L154) table, which can be in `_internal` - `datasette-write-ui` wants to have the ability for users to toggle whether a table appears editable, which can be either in `datasette.yaml` or on-the-fly by storing config in `_internal` In general, these are specific features that Datasette plugins would have access to if there was a central internal database they could read/write to: - **Dynamic configuration**. Changing the `datasette.yaml` file works, but can be tedious to restart the server every time. Plugins can define their own configuration table in `_internal`, and could read/write to it to store configuration based on user actions (cell menu click, API access, etc.) - **Caching**. If a plugin or Datasette Core needs to cache some expensive computation, they can store it inside `_internal` (possibly as a temporary table) instead of managing their own caching solution. - **Audit logs**. If a plugin performs some sensitive operations, they can log usage info to `_internal` for others to audit later. - **Long running process status**. Many plugins (`datasette-upload-csvs`, `datasette-litestream`, `datasette-socrata`) perform tasks that run for a really long time, and want to give continue status updates to the user. They can store this info inside` _internal` - **Safer authentication**. Passwords and authentication plugins usually store credentials/hashed secrets in configuration files or environment variables, which can be difficult to handle. Now, they can store them in `_internal` ## Proposal - We remove `_internal` from [`datasette.databases`](https://docs.datasette.io/en/latest/internals.html#databases) property. - We add new `datasette.get_internal_db()` method that returns the `_internal` database, for plugins to use - We add a new `--internal internal.db` flag. If provided, then the `_internal` DB will be sourced from that file, and further updates will be persisted to that file (instead of an in-memory database) - When creating internal.db, create a new `_datasette_internal` table to mark it a an ""datasette internal database"" - In `datasette serve`, we check for the existence of the `_datasette_internal` table. If it exists, we assume the user provided that file in error and raise an error. This is to limit the chance that someone accidentally publishes their internal database to the internet. We could optionally add a `--unsafe-allow-internal` flag (or database plugin) that allows someone to do this if they really want to. ## New features unlocked with this These features don't really need a standardized `_internal` table per-say (plugins could currently configure their own long-time storage features if they really wanted to), but it would make it much simpler to create these kinds of features with a persistent application database. - **`datasette-comments`** : A plugin for commenting on rows or specific values in a database. Comment contents + threads + email notification info can be stored in `_internal` - **Bookmarks**: ""Bookmarking"" an SQL query could be stored in `_internal`, or a URL link shortener - **Webhooks**: If a plugin wants to either consume a webhook or create a new one, they can store hashed credentials/API endpoints in `_internal`",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2157/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1855885427,I_kwDOBm6k_c5unpBz,2143,De-tangling Metadata before Datasette 1.0,15178711,open,0,,,24,2023-08-18T00:51:50Z,2023-08-24T18:28:27Z,,CONTRIBUTOR,,"Metadata in Datasette is a really powerful feature, but is a bit difficult to work with. It was initially a way to add ""metadata"" about your ""data"" in Datasette instances, like descriptions for databases/tables/columns, titles, source URLs, licenses, etc. But it later became the go-to spot for other Datasette features that have nothing to do with metadata, like permissions/plugins/canned queries. Specifically, I've found the following problems when working with Datasette metadata: 1. Metadata cannot be updated without re-starting the entire Datasette instance. 2. The `metadata.json`/`metadata.yaml` has become a kitchen sink of unrelated (imo) features like plugin config, authentication config, canned queries 3. The Python APIs for defining extra metadata are a bit awkward (the `datasette.metadata()` class, `get_metadata()` hook, etc.) ## Possible solutions Here's a few ideas of Datasette core changes we can make to address these problems. ### Re-vamp the Datasette Python metadata APIs The Datasette object has a single `datasette.metadata()` method that's a bit difficult to work with. There's also no Python API for inserted new metadata, so plugins have to rely on the `get_metadata()` hook. The `get_metadata()` hook can also be improved - it doesn't work with async functions yet, so you're quite limited to what you can do. (I'm a bit fuzzy on what to actually do here, but I imagine it'll be very small breaking changes to a few Python methods) ### Add an optional `datasette_metadata` table Datasette should detect and use metadata stored in a new special table called `datasette_metadata`. This would be a regular table that a user can edit on their own, and would serve as a ""live updating"" source of metadata, than can be changed while the Datasette instance is running. Not too sure what the schema would look like, but I'd imagine: ```sql CREATE TABLE datasette_metadata( level text, target any, key text, value any, primary key (level, target) ) ``` Every row in this table would map to a single metadata ""entry"". - `level` would be one of ""datasette"", ""database"", ""table"", ""column"", which is the ""level"" the entry describes. For example, `level=""table""` means it is metadata about a specific table, `level=""database""` for a specific database, or `level=""datasette""` for the entire Datasette instance. - `target` would ""point"" to the specific object the entry metadata is about, and would depend on what `level` is specific. - `level=""database""`: `target` would be the string name of the database that the metadata entry is about. ex `""fixtures""` - `level=""table""`: `target` would be a JSON array of two strings. The first element would be the database name, and the second would be the table name. ex `[""fixtures"", ""students""]` - `level=""column""`: `target` would be a JSON array of 3 strings: The database name, table name, and column name. Ex `[""fixtures"", ""students"", ""student_id""`] - `key` would be the type of metadata entry the row has, similar to the current ""keys"" that exist in `metadata.json`. Ex `""about_url""`, `""source""`, `""description""`, etc - `value` would be the text value of be metadata entry. The literal text value of a description, about_url, column_label, etc A quick sample: level | target | key | value -- | -- | -- | -- datasette | NULL | title | my datasette title... db | fixtures | source | table | [""fixtures"", ""students""] | label_column | student_name column | [""fixtures"", ""students"", ""birthdate""] | description | This `datasette_metadata` would be configured with other tools, and hopefully not manually by end users. Datasette Core could also offer a UI for editing entries in `datasette_metadata`, to update descriptions/columns on the fly. ### Re-vamp `metadata.json` and move non-metadata config to another place The motivation behind this is that it's awkward that `metadata.json` contains config about things that are not strictly metadata, including: - Plugin configuration - [Authentication/permissions](https://docs.datasette.io/en/latest/authentication.html#access-permissions-in-metadata) (ex the `allow` key on datasettes/databases/tables - Canned queries. might be controversial, but in my mind, canned queries are application-specific code and configuration, and don't describe the data that exists in SQLite databases. I think we should move these outside of `metadata.json` and into a different file. The `datasette.json` idea in #2093 may be a good solution here: plugin/permissions/canned queries can be defined in `datasette.json`, while `metadata.json`/`datasette_metadata` will strictly be about documenting databases/tables/columns. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2143/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1822813627,I_kwDOBm6k_c5spe27,2108,some (many?) SQL syntax errors are not throwing errors with a .csv endpoint,536941,open,0,,,0,2023-07-26T16:57:45Z,2023-07-26T16:58:07Z,,CONTRIBUTOR,,"here's a CTE query that should always fail with a syntax error: ```sql with foo as (nonsense) select * from foo; ``` when we make this query against the default endpoint, we do indeed get a 400 status code the problem is returned to the user: https://global-power-plants.datasettes.com/global-power-plants?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B but, if we use the csv endpoint, we get a 200 status code and no indication of a problem: https://global-power-plants.datasettes.com/global-power-plants.csv?sql=with+foo+as+%28nonsense%29+select+*+from+foo%3B same with this bad sql ```sql select a, from foo; ``` https://global-power-plants.datasettes.com/global-power-plants?sql=select%0D%0A++a%2C%0D%0Afrom%0D%0A++foo%3B vs https://global-power-plants.datasettes.com/global-power-plants.csv?sql=select%0D%0A++a%2C%0D%0Afrom%0D%0A++foo%3B but, datasette catches this bad sql at both endpoints: ```sql slect a from foo; ``` https://global-power-plants.datasettes.com/global-power-plants?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B https://global-power-plants.datasettes.com/global-power-plants.csv?sql=slect%0D%0A++a%0D%0Afrom%0D%0A++foo%3B ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2108/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1783304750,I_kwDOBm6k_c5qSxIu,2094,JS Plugin Hooks for the Code Editor,15178711,open,0,,,0,2023-07-01T00:51:57Z,2023-07-01T00:51:57Z,,CONTRIBUTOR,,"When #2052 merges, I'd like to add support to add extensions/functions to the Datasette code editor. I'd eventually like to build a JS plugin for [`sqlite-docs`](https://github.com/asg017/sqlite-docs), to add things like: - Inline documentation for tables/columns on hover - Inline docs for custom functions that are loaded in - More detailed autocomplete for tables/columns/functions I did some hacking to see what this would look like, see here: There can be a new hook that allows JS plugins to add new ""extension"" in the CodeMirror editorview here: https://github.com/simonw/datasette/blob/8cd60fd1d899952f1153460469b3175465f33f80/datasette/static/cm-editor-6.0.1.js#L25 Will need some more planning. For example, the Codemirror bundle in Datasette has functions that we could re-export for plugins to use (so we don't load 2 version of `""@codemirror/autocomplete""`, for example. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2094/reactions"", ""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1620515757,I_kwDOBm6k_c5glxut,2039,Subtle bug with `--load-extension` and `--static` flags with absolute Windows paths with`C:\`,15178711,open,0,,,0,2023-03-12T21:18:52Z,2023-03-12T21:18:52Z,,CONTRIBUTOR,,"From the Datasette discord: A user tried running the following command on windows: ``` datasette --load-extension=""C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll"" ``` This failed with `""The specified module could not be found""`, because the entrypoint option introduced in #1789 splits the input differently. Instead of loading the extension found at `""C:\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll""`, it instead tried to load the extension at `""C""` with entrypoint `""\spatialite\mod_spatialite-5.0.1-win-x86\mod_spatialite.dll"". This is hard because most absolute windows paths have a colon in them, like `C:\foo.txt` or `D:\bar.txt`. I'd image the `--static` flag is also vulnerable to this type of bug. The ""solution"" is to use a relative path instead, but that doesn't feel that great. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2039/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1605959201,I_kwDOBm6k_c5fuP4h,2032,datasette errors when foreign key integrity is enabled,193185,open,0,,,0,2023-03-02T01:27:51Z,2023-03-02T01:31:58Z,,CONTRIBUTOR,,"By default, [SQLite does not enforce foreign key constraints](https://www.sqlite.org/foreignkeys.html#fk_enable). I typically enable these checks by running: ```sql PRAGMA foreign_keys = ON; ``` inside of a `prepare_connection` hook. If a plugin causes the schema to change (eg datasette-scraper creating a new table, or datasette-edit-schema changing a column), then https://github.com/simonw/datasette/blob/0b4a28691468b5c758df74fa1d72a823813c96bf/datasette/utils/internal_db.py#L71-L77 will fail with: ``` FOREIGN KEY constraint failed ``` This could be resolved by either: - deleting from the `tables` column last - changing the schema so that the foreign keys have [ON DELETE CASCADE](https://www.sqlite.org/foreignkeys.html#fk_actions) Let me know if you'd be open to a PR that addresses this -- since foreign key constraints aren't enabled by default, I guess it's questionable whether this is a bug. I think I can workaround this by inspecting the database parameter in `prepare_connection` and trying not to enable fkey checks on the `_internal` database.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2032/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1571711808,I_kwDOBm6k_c5drmtA,2018,`check_visibility` gives confusing (wrong?) results if permission is `None`,193185,open,0,,,0,2023-02-06T01:03:08Z,2023-02-06T01:03:46Z,,CONTRIBUTOR,,"I'm trying to gate access to an edit UI on the user having `update-row` on the underlying view or table. I expected [datasette.check_visibility](https://docs.datasette.io/en/latest/internals.html#await-check-visibility-actor-action-none-resource-none-permissions-none) to be a good way to do this: ```python visible, private = await datasette.check_visibility( request.actor, permissions=[ (""update-row"", (database, table)), ], ) if not visible: return None ``` But `visible` is returning true, even when there is no explicit `update-row` permission. (In this case, `request.actor` is `None`.) Based on [the update-row permissions docs](https://docs.datasette.io/en/latest/authentication.html#update-row), I expected this to be default deny, and so no explicit permission would result in false. I think the root cause is that `check_visibility` calls `ensure_permissions` and expects it to throw if the permission is not available. But `ensure_permissions` does not throw when `permission_allowed` returns None: https://github.com/simonw/datasette/blob/1.0a2/datasette/app.py#L825-L829",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2018/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1565179870,I_kwDOBm6k_c5dSr_e,2013,Datasette uses non-standard quoting for identifiers,193185,open,0,,,0,2023-02-01T00:05:39Z,2023-02-01T00:06:30Z,,CONTRIBUTOR,,"Related to #2001, but where #2001 was about literals, this is about identifiers From https://www.sqlite.org/lang_keywords.html: > ""keyword"" A keyword in double-quotes is an identifier. > [keyword] A keyword enclosed in square brackets is an identifier. This is not standard SQL. This quoting mechanism is used by MS Access and SQL Server and is included in SQLite for compatibility. Datasette uses this quoting here -- https://github.com/simonw/datasette/blob/0b4a28691468b5c758df74fa1d72a823813c96bf/datasette/utils/__init__.py#L345-L349, in some of the other DB access code, and in some of the test fixtures. Migrating to standard double quote identifiers would make it easier to get Datasette working with alternative backends",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2013/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1515815014,I_kwDOBm6k_c5aWYBm,1973,render_cell plugin hook's row object is not a sqlite.Row,193185,open,0,,,4,2023-01-01T20:27:46Z,2023-01-29T00:40:31Z,,CONTRIBUTOR,,"From https://docs.datasette.io/en/stable/plugin_hooks.html#render-cell-row-value-column-table-database-datasette: > row - sqlite.Row > The SQLite row object that the value being rendered is part of This appears to actually be a [CustomRow](https://github.com/simonw/datasette/blob/f0fadc28ddb9f82e5cc1ecaa51e8a342eb6dc528/datasette/utils/__init__.py#L773-L789), but I think that's unrelated to my issue. I have a table: ```sql CREATE TABLE IF NOT EXISTS ""dss_job_stats""( job_id integer not null references dss_job(id) on delete cascade, host text not null, // other columns elided as irrelevant primary key (job_id, host) ); ``` On datasette 0.63.2, the `render_cell` hook receives a `row` value that looks like: ``` CustomRow([('job_id', {'value': 2, 'label': '2'}), ('host', 'cldellow.com')]) ``` I expected the `job_id` value to be `2`, but it's actually `{'value': 2, 'label': '2'}`. I can work around this, but was wondering if this was intended behaviour?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1973/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1552368054,I_kwDOBm6k_c5ch0G2,2000,rewrite_sql hook,193185,open,0,,,1,2023-01-23T01:02:52Z,2023-01-23T06:08:01Z,,CONTRIBUTOR,,"I'm not sold that this is a good idea, but thought it'd be worth writing up a ticket. Proposal: add a hook like ```python def rewrite_sql(datasette, database, request, fn, sql, params) ``` It would be called from Database.execute, Database.execute_write, Database.execute_write_script, Database.execute_write_many before running the user's SQL. `fn` would indicate which method was being used, in case that's relevant for the SQL inspection -- for example `execute` only permits a single statement. The hook could return a SQL statement to be executed instead, or an async function to be awaited on that returned the SQL to be executed. Plugins that could be written with this hook: - https://github.com/cldellow/datasette-ersatz-table-valued-functions would use this to avoid monkey-patching - a plugin to inspect and reject unsafe Spatialite function calls (reported by [Simon in Discord](https://discord.com/channels/823971286308356157/823971286941302908/1066438832293159004)) - a plugin to do more general rewrites of queries to enforce table or row-level security, for example, based on the currently logged in actor's ID - a plugin to maintain audit tables when users write to a table - a plugin to cache expensive queries (eg the queries that drive facets) - these could allow stale reads if previously cached, then refresh them in an offline queue Flaws with this idea: `execute_fn` and `execute_write_fn` would not go through this hook, which limits the guarantees you can make about it for security purposes.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2000/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1509783085,I_kwDOBm6k_c5Z_XYt,1969,sql-formatter javascript is not now working with CloudFlare rocketloader,536941,open,0,,,0,2022-12-23T21:14:06Z,2023-01-10T01:56:33Z,,CONTRIBUTOR,,"This is probably not a bug with datasette, but I thought you might want to know, @simonw. I noticed today that my CloudFlare proxied datasette instance lost the ""Format SQL"" option. I'm pretty sure it was there last week. In the CloudFlare settings, if I turn off [Rocket Loader](https://developers.cloudflare.com/fundamentals/speed/rocket-loader/), I get the ""Format SQL"" option back. Rocket Loader works by asynchronously loading the javascript, so maybe there was a recent change that doesn't play well with the asynch loading? I'm up to date with https://github.com/simonw/datasette/commit/e03aed00026cc2e59c09ca41f69a247e1a85cc89",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1969/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1522778923,I_kwDOBm6k_c5aw8Mr,1978,Document datasette.urls.row and row_blob,25778,closed,0,,,2,2023-01-06T15:45:51Z,2023-01-09T14:30:00Z,2023-01-09T14:30:00Z,CONTRIBUTOR,,"These are in the codebase but not in documentation. I think everything else in this class is documented. ```python class Urls: ... def row(self, database, table, row_path, format=None): path = f""{self.table(database, table)}/{row_path}"" if format is not None: path = path_with_format(path=path, format=format) return PrefixedUrlString(path) def row_blob(self, database, table, row_path, column): return self.table(database, table) + ""/{}.blob?_blob_column={}"".format( row_path, urllib.parse.quote_plus(column) ) ``` ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1978/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,not_planned 1198822563,I_kwDOBm6k_c5HdJSj,1706,"[feature] immutable mode for a directory, not just individual sqlite file",9020979,open,0,,,4,2022-04-10T00:50:57Z,2022-12-09T19:11:40Z,,CONTRIBUTOR,,"## Motivation - I have a directory of sqlite databases - I'd like to use immutable mode when opening them for better performance [docs](https://docs.datasette.io/en/0.54/performance.html#immutable-mode) - Currently using this flag throws the following error IsADirectoryError: [Errno 21] Is a directory: '/name-of-directory' ## Proposal Immutable flag works for both single files and directories datasette -i /folder-of-sqlite-files",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1706/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1473659191,I_kwDOBm6k_c5X1kE3,1929,Incorrect link from the API explorer to the JSON API documentation,3556,closed,0,,,4,2022-12-03T02:08:58Z,2022-12-06T19:36:23Z,2022-12-06T19:34:20Z,CONTRIBUTOR,,"I installed `datasette==1.0a1`. When I go to http://127.0.0.1:8001/-/api I have a link: `Use this tool to try out the [Datasette API](https://docs.datasette.io/en/1.0a1/json_api.html).` but that documentation page does not exist. I'm not sure where it has to be fixed, should it link to the stable page https://docs.datasette.io/en/stable/json_api.html , the latest one https://docs.datasette.io/en/latest/json_api.html#the-json-write-api or would it be more appropriated to deploy documentation for the `1.0a1` version?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1929/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1469821027,I_kwDOBm6k_c5Xm7Bj,1921,Document methods to get canned queries,25778,open,0,,,0,2022-11-30T15:26:33Z,2022-11-30T23:34:21Z,,CONTRIBUTOR,,"Two methods will get canned queries for a Datasette instance: [`Datasette.get_canned_queries`](https://github.com/simonw/datasette/blob/main/datasette/app.py#L575) will return all canned queries for a database that an `actor` can see. [`Datasette.get_canned_query`](https://github.com/simonw/datasette/blob/main/datasette/app.py#L592) will return a single canned query by name. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1921/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1469796454,I_kwDOBm6k_c5Xm1Bm,1920,Document Datasette.metadata() method,25778,open,0,,,0,2022-11-30T15:10:36Z,2022-11-30T15:10:36Z,,CONTRIBUTOR,,"Code is here: https://github.com/simonw/datasette/blob/main/datasette/app.py#L503 This will be the official way to access metadata from plugins.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1920/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1108671952,I_kwDOBm6k_c5CFP3Q,1605,Scripted exports,25778,open,0,,,10,2022-01-19T23:45:55Z,2022-11-30T15:06:38Z,,CONTRIBUTOR,,"Posting this while I'm thinking about it: I mentioned at the end of [this thread](https://twitter.com/eyeseast/status/1483893011658551299) that I'm usually doing `datasette --get` to export canned queries. I used to use a tool called [datafreeze](https://github.com/pudo/datafreeze) to do scripted exports, but that project looks dead now. The ergonomics of it are pretty nice, though, and the `Freezefile.yml` structure is actually not too far from Datasette's canned queries. This is related to the idea for `datasette query` (#1356) but I think it's a distinct feature. It's most likely a plugin, but I want to raise it here because it's probably something other people have thought about.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1605/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1439009231,I_kwDOBm6k_c5VxYnP,1884,Exclude virtual tables from datasette inspect,25778,open,0,,,6,2022-11-07T21:26:01Z,2022-11-21T04:40:56Z,,CONTRIBUTOR,,"Ran `inspect` on a spatialite database and got these warnings: ``` ERROR: conn=, sql = 'select count(*) from [SpatialIndex]', params = None: no such module: VirtualSpatialIndex ERROR: conn=, sql = 'select count(*) from [ElementaryGeometries]', params = None: no such module: VirtualElementary ERROR: conn=, sql = 'select count(*) from [KNN]', params = None: no such module: VirtualKNN ``` It still worked, but probably want to catch this. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1884/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1450796965,I_kwDOBm6k_c5WeWel,1894,Initialize CodeMirror during DOMContentLoaded instead of onload,95570,closed,0,,,0,2022-11-16T03:52:19Z,2022-11-18T07:29:02Z,2022-11-18T07:29:02Z,CONTRIBUTOR,,As per https://github.com/simonw/datasette/pull/1893/files#r1023248927 this should prevent a flash between the textarea being replaced by CodeMirror.,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1894/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1452495049,I_kwDOBm6k_c5Wk1DJ,1899,Clicking within the CodeMirror area below the SQL (i.e. when there's only a single line) doesn't cause the editor to get focused ,95570,closed,0,,,4,2022-11-17T00:29:52Z,2022-11-18T07:28:28Z,2022-11-18T07:20:53Z,CONTRIBUTOR,,"After the upgrade to 6 (#1893) I noticed this. I think it's because we're doing overflow:hidden to accomplish the CSS resizer. When there's a single line of SQL there's a gap below that line where clicking doesn't do anything. It should focus at the end of the line.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1899/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1453813400,I_kwDOBm6k_c5Wp26Y,1901,"Some plugins show ""home"" breadcrumbs twice in the top left",95570,closed,0,,,8,2022-11-17T18:44:58Z,2022-11-18T07:22:37Z,2022-11-18T07:02:56Z,CONTRIBUTOR,," ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1901/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1448143294,I_kwDOBm6k_c5WUOm-,1890,Autocomplete text entry for filter values that correspond to facets,536941,closed,0,,,16,2022-11-14T14:11:31Z,2022-11-17T00:47:36Z,2022-11-16T03:23:01Z,CONTRIBUTOR,,"datasette allows users to enter in the value for named parameters into a free-text form field. I think it would add a lot of usability, if the form field could be a drop down of options when query value is already a faceted column.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1890/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1428560020,I_kwDOBm6k_c5VJhiU,1872,"SITE-BUSTING ERROR: ""render_template() called before await ds.invoke_startup()""",192568,closed,0,,,3,2022-10-30T02:28:39Z,2022-10-30T06:26:01Z,2022-10-30T06:26:01Z,CONTRIBUTOR,,"1. My https://list.saferdisinfectants.org/disinfectants/listN page (linked from https://SaferDisinfectants.org ) has been running beautifully for a year and a half, including a GitHub Actions workflow that's been routinely updating the database. 2. I received a recent report that the list page is down. I don't know when it went down, but the content is replaced with: ""render_template() called before await ds.invoke_startup()"" 3. The local datasette repo runs without incident. 4. The site is hosted on vercel, linked to my github repo. Perhaps some vercel changes were made, but not by anyone on our side. Here is a screenshot of the current project settings: Here a screenshot of the latest deployment status: This is my repository: https://github.com/mroswell/list-N (I notice: datasette==0.59 in my requirements.txt file) Because it's been long while since I actively worked on this or any other datasette project, I forget a lot of what I knew at one point. Perhaps some configuration file could be missing? Or perhaps I just need to know the right incantation to add to that vercel settings page. Help is welcome as the nonprofit org is soon hosting its annual conference, and we'd love to have the page working again. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1872/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1400374908,I_kwDOBm6k_c5TeAZ8,1836,docker image is duplicating db files somehow,536941,open,0,,,13,2022-10-06T22:35:54Z,2022-10-08T16:56:51Z,,CONTRIBUTOR,,"if you look into the docker image created by docker publish, the `datasette inspect` line is duplicating the db files. here's the result of the inspect command: ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1836/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1015646369,I_kwDOBm6k_c48iYih,1480,Exceeding Cloud Run memory limits when deploying a 4.8G database,110420,open,0,,,9,2021-10-04T21:20:24Z,2022-10-07T04:39:10Z,,CONTRIBUTOR,,"When I try to deploy a 4.8G SQLite database to Google Cloud Run, I get this error message: > Memory limit of 8192M exceeded with 8826M used. Consider increasing the memory limit, see https://cloud.google.com/run/docs/configuring/memory-limits Unfortunately, the maximum amount of memory that can be allocated to an instance is 8192M. Naively profiling the memory usage of running Datasette with this database locally on my MacBook shows the following memory usage (using Activity Monitor) when I just start up Datasette locally: - Real Memory Size: 70.6 MB - Virtual Memory Size: 4.51 GB - Shared Memory Size: 2.5 MB - Private Memory Size: 57.4 MB I'm trying to understand if there's a query or other operation that gets run during container deployment that causes memory use to be so large and if this can be avoided somehow. This is somewhat related to #1082, but on a different platform, so I decided to open a new issue.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1480/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 860722711,MDU6SXNzdWU4NjA3MjI3MTE=,1301,Publishing to cloudrun with immutable mode?,5413548,open,0,,,1,2021-04-18T17:51:46Z,2022-10-07T02:38:04Z,,CONTRIBUTOR,,"I'm a bit confused about immutable mode and publishing to cloudrun. (I want to publish with immutable mode so that I can support database downloads.) Running `datasette publish cloudrun --extra-options=""-i example.db""` leads to an error: > Error: Invalid value for '-i' / '--immutable': Path 'example.db' does not exist. However, running `datasette publish cloudrun example.db` not only works but seems to publish in immutable mode anyway! I'm seeing this both with `/-/databases.json` and the fact that downloads are working. When I just `datasette serve` locally, this succeeds both ways and works as expected.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1301/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1400083043,I_kwDOBm6k_c5Tc5Jj,1834,inspect data is not used for caching database hash,536941,closed,0,,,0,2022-10-06T17:52:01Z,2022-10-06T20:06:21Z,2022-10-06T20:06:08Z,CONTRIBUTOR,,"When databases are loaded, https://github.com/simonw/datasette/blob/cb1e093fd361b758120aefc1a444df02462389a3/datasette/app.py#L257-L260 there is nothing preventing the rehashing of the database for immutable databases. https://github.com/simonw/datasette/blob/cb1e093fd361b758120aefc1a444df02462389a3/datasette/database.py#L50-L53 what i might expect is that relevant values of `inspect_data` get passed to the `Database` class to prevent re-hashing? With data that is many gigs large, this is a significant start up time. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1834/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 377155320,MDU6SXNzdWUzNzcxNTUzMjA=,370,Integration with JupyterLab,82988,open,0,,,4,2018-11-04T13:57:13Z,2022-09-29T08:17:47Z,,CONTRIBUTOR,,"I just watched a demo video for the [JupyterLab Chart Editor](https://www.crowdcast.io/e/introducing-JupyterLab-Chart-Editor/) which wraps the plotly chart editor app in a JupyterLab panel and lets you open a plotly chart JSON file in that editor. Essentially, it pops an HTML app into a panel in JupyterLab, and I think registers the app as a file viewer for a particular file type. (I'm not completely taken by it, tbh, because it means you can do irreproducible things to the chart definition file, but that's another issue). JupyterLab extensions can also open files from a dialogue as the iframe/html previewer shows: https://github.com/timkpaine/jupyterlab_iframe. This made me wonder about what `datasette` integration with JupyterLab might do. For example, by right-clicking on a CSV file (for which there is already a CSV table view) in the file browser, offer a *View / Run as datasette* file viewer option that will: - run the CSV file through `csvs-to-sqlite`; - launch the `datasette` server and display the `datasette` view in a JupyterLab panel. (? Create a new SQLite db for each CSV file and launch each datasette view on a new port? Or have a JupyterLab (session?) SQLite db that stores all `datasette` viewed CSVs and runs on a single port?) As a freebie, the `datasette` API would allow you to run efficient SQL queries against the file eg using using `pandas.read_sql()` queries in a notebook in the same space. Related: - [JupyterLab extensions docs](https://jupyterlab.readthedocs.io/en/stable/user/extensions.html) - a [cookiecutter for wrting JupyterLab extensions using Javascript](https://github.com/jupyterlab/extension-cookiecutter-js) - a [cookiecutter for writing JupyterLab extensions using Typescript](https://github.com/jupyterlab/extension-cookiecutter-ts) - tutorial: [Let’s Make an xkcd JupyterLab Extension](https://jupyterlab.readthedocs.io/en/stable/developer/xkcd_extension_tutorial.html)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/370/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1385026210,I_kwDOBm6k_c5SjdKi,1819,Preserve query on timeout,2182,closed,0,,,3,2022-09-25T13:32:31Z,2022-09-26T23:16:15Z,2022-09-26T23:06:06Z,CONTRIBUTOR,,"If a query hits the timeout it shows a message like: > SQL query took too long. The time limit is controlled by the [sql_time_limit_ms](https://docs.datasette.io/en/stable/settings.html#sql-time-limit-ms) configuration option. But the query is lost. Hitting the browser back button shows the query _before_ the one that errored. It would be nice if the query that errored was preserved for more tweaking. This would make it similar to how ""invalid syntax"" works since #1346 / #619.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1819/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1377811868,I_kwDOBm6k_c5SH72c,1813,missing next and next_url in JSON responses from an instance deployed on Fly ,883348,closed,0,,,1,2022-09-19T11:32:34Z,2022-09-19T11:34:45Z,2022-09-19T11:34:45Z,CONTRIBUTOR,,"πŸ‘‹ thank you for an incredibly useful project! I have noticed that my deployed instance on Fly does not include the `next` and `next_url` keys even for a truncated response : This is publically accessible here: `https://collectif-objets-datasette.fly.dev/collectif-objets.json?sql=select+*+from+mairies` However when I run the dataset server locally with the same data I get these next keys for the exact same query: I am wondering if I've missed some config or something specific to deployments on Fly.io? I am running datasette v0.62, without any specific config : - locally `poetry run datasette data/collectif-objets.sqlite` - for the deploy : `poetry run datasette publish fly data/collectif-objets.sqlite` as visible in [the Makefile](https://github.com/adipasquale/collectif-objets-datasette/blob/main/Makefile). _The very limited codebase is public but the sqlite db is not versioned yet because it is too large._",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1813/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 855476501,MDU6SXNzdWU4NTU0NzY1MDE=,1298,improve table horizontal scroll experience,192568,open,0,,,4,2021-04-12T01:55:16Z,2022-08-30T21:11:49Z,,CONTRIBUTOR,,"Wide tables aren't a huge problem if you know to click and drag right. But it's not at all obvious to do that. (it also tends to blue-select any content as it's dragging.) Depending on column widths, public users might entirely miss all the columns to the right. There is a scrollbar at the bottom of the table, but I'm displaying ALL my records because it's the only way for datasette-vega to make accurate charts. So that bottom scrollbar is likely to be missed. I wonder if some sort of javascript-y mouseover to an arrow might help, similar to those seen in image carousels. Ah: here's a perfect example: 1. Visit http://google.com 2. Search for: animals endangered 3. Note the 'g-right-button' (in the code) that looks like a right-facing caret in a circle. 4. Click on that and the carousel scrolls right (and 'g-left-button' appears on the left). Might be tricky to do that on a table, rather than a one-row carousel, but it's worth experimenting with. Another option is just to put the scrollbars at the top of the table, too. Meantime, I'm trying to build a button like the ""View/hide all columns on https://salaries.news.baltimoresun.com/salaries-be494cf/2019+Maryland+state+salaries Might be nice to have that available by default, with settings in the metadata showing which are on by default. (I saw some other closed issues related to horizontal scrolling, and admit I don't entirely understand them. For instance, the animated gif at https://github.com/simonw/datasette/issues/998#issuecomment-714117534 confuses me. ) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1298/reactions"", ""total_count"": 4, ""+1"": 4, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1339663518,I_kwDOBm6k_c5P2aSe,1784,"Include ""entrypoint"" option on `--load-extension`?",15178711,closed,0,,,2,2022-08-16T00:22:57Z,2022-08-23T18:34:31Z,2022-08-23T18:34:31Z,CONTRIBUTOR,,"## Problem SQLite extensions have the option to define multiple ""entrypoints"" in each loadable extension. For example, the upcoming version of `sqlite-lines` will have 2 entrypoints: the default `sqlite3_lines_init` (which SQLite will automatically guess for) and `sqlite3_lines_noread_init`. The `sqlite3_lines_noread_init` version omits functions that read from the filesystem, which is necessary for security purposes when running untrusted SQL (which Datasette does). (Similar multiple entrypoints will also be added for sqlite-http). The `--load-extension` flag, however, doesn't give the option to specify a different entrypoint, so the default one is always used. ## Proposal I want there to be a new command line option of the `--load-extension` flag to specify a custom entrypoint like so: ``` datasette my.db \ --load-extension ./lines0 sqlite3_lines0_noread_init ``` Then, under the hood, this line of code: https://github.com/simonw/datasette/blob/7af67b54b7d9bca43e948510fc62f6db2b748fa8/datasette/app.py#L562 Would look something like this: ```python conn.execute(""SELECT load_extension(?, ?)"", [extension, entrypoint]) ``` One potential problem: For backward compatibility, I'm not sure if Click allows cli flags to have variable number of options (""arity""). So I guess it could also use a `:` delimiter like `--static`: ``` datasette my.db \ --load-extension ./lines0:sqlite3_lines0_noread_init ``` Or maybe even a new flag name? ``` datasette my.db \ --load-extension-entrypoint ./lines0 sqlite3_lines0_noread_init ``` Personally I prefer the `:` option... and maybe even `--load-extension` -> `--load`? Definitely out of scope for this issue tho ``` datasette my.db \ --load./lines0:sqlite3_lines0_noread_init ```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1784/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1334628400,I_kwDOBm6k_c5PjNAw,1779,google cloudrun updated their limits on maxscale based on memory and cpu count,536941,closed,0,,8303187,13,2022-08-10T13:27:21Z,2022-08-14T19:42:59Z,2022-08-14T17:07:34Z,CONTRIBUTOR,,"if you don't set an explicit limit on container scaling, then [google defaults to 100](https://cloud.google.com/run/docs/configuring/max-instances#limits) google recently updated the [limits on container scaling](https://cloud.google.com/run/docs/configuring/max-instances#limits), such that if you set up datasette to use more memory or cpu, then you need to set the maxScale argument much smaller than 100. would be nice if `datasette publish` could do this math for you and set the right maxScale. [Log of an failing publish run](https://github.com/labordata/warehouse/runs/7764725972?check_suite_focus=true#step:8:332). ``` ERROR: (gcloud.run.deploy) spec.template.spec.containers[0].resources.limits.cpu: Invalid value specified for cpu. For the specified value, maxScale may not exceed 15. Consider running your workload in a region with greater capacity, decreasing your requested cpu-per-instance, or requesting an increase in quota for this region if you are seeing sustained usage near this limit, see https://cloud.google.com/run/quotas. Your project may gain access to further scaling by adding billing information to your account. Traceback (most recent call last): File ""/home/runner/.local/bin/datasette"", line 8, in sys.exit(cli()) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 1128, in __call__ return self.main(*args, **kwargs) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 1053, in main rv = self.invoke(ctx) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 1659, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 1395, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/home/runner/.local/lib/python3.8/site-packages/click/core.py"", line 754, in invoke return __callback(*args, **kwargs) File ""/home/runner/.local/lib/python3.8/site-packages/datasette/publish/cloudrun.py"", line 160, in cloudrun check_call( File ""/usr/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/labordata/datasette warehouse --memory 8Gi --cpu 2' returned non-zero exit status 1. ```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1779/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1218133366,I_kwDOBm6k_c5Imz12,1728,Writable canned queries fail with useless non-error against immutable databases,127565,closed,0,,8303187,13,2022-04-28T03:10:34Z,2022-08-14T16:34:40Z,2022-08-14T16:34:40Z,CONTRIBUTOR,,"I've been banging my head against a wall for a while and would appreciate any pointers... - I have a writeable canned query to update rows in the db. - I'm using the github-oauth plugin for authentication. - I have `allow` set on the query to accept my GitHub id and a GH organisation. - Authentication seems to work as expected both locally and on Cloudrun -- viewing `/-/actor` gives the same result in both environments - I can access the 'padlocked' canned query in both environments. Everything seems to be the same, but the canned query works perfectly when run locally, and fails when I try it on Cloudrun. I'm redirected back to the canned query page and the db is not changed. There's nothing in the Cloudstor logs to indicate an error. Any clues as to where I should be looking for the problem?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1728/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1292368833,I_kwDOBm6k_c5NB_vB,1764,Keep track of config_dir in directory mode (for plugins),25778,closed,0,,,0,2022-07-03T16:57:49Z,2022-07-18T01:12:45Z,2022-07-18T01:12:45Z,CONTRIBUTOR,,"I started working on using `config_dir` with my [datasette-query-files plugin](https://github.com/eyeseast/datasette-query-files) and realized Datasette doesn't actually hold onto the `config_dir` argument. It gets used in `__init__` but then forgotten. It would be nice to be able to use it in plugins, though. Here's the reference issue: https://github.com/eyeseast/datasette-query-files/issues/4 ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1764/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 860625833,MDU6SXNzdWU4NjA2MjU4MzM=,1300,Make row available to `render_cell` plugin hook,3243482,closed,0,,,5,2021-04-18T10:14:37Z,2022-07-07T16:34:05Z,2022-07-07T16:31:22Z,CONTRIBUTOR,,"*Original title: **Generating URL for a row inside `render_cell` hook*** Hey, I am using Datasette to view a database that contains video metadata. It has BLOB columns that contain video thumbnails in JPG format (around 100-500KB per row). I've registered an output formatter that extends `datasette.blob_renderer.render_blob` function and serves the column with `image/jpeg` content type. ```python from datasette.blob_renderer import render_blob async def render_jpg(datasette, database, rows, columns, request, table, view_name): response = await render_blob(datasette, database, rows, columns, request, table, view_name) response.content_type = ""image/jpeg"" response.headers[""Content-Disposition""] = f'inline; filename=""image.jpg""' return response @hookimpl def register_output_renderer(): return { ""extension"": ""jpg"", ""render"": render_jpg, ""can_render"": lambda: True, } ``` This works well. I can visit `http://localhost:8001/mydb/videos/1.jpg?_blob_column=thumbnail` and view the image. I want to display the image directly with an `` tag (lazy-loaded of course). So, I need a URL, because embedding base64 would increase the page size too much (each image > 100KB). Datasette generates a link with `.blob` extension for blob columns. It does this by calling `datasette.urls.row_blob` https://github.com/simonw/datasette/blob/7a2ed9f8a119e220b66d67c7b9e07cbab47b1196/datasette/views/table.py#L169-L179 But I have no way of getting the row inside the `render_cell` hook. ```python @hookimpl def render_cell(value, column, table, database, datasette): if isinstance(value, bytes) and imghdr.what(None, value): # generate url return '$renderedLink' ``` Any pointers?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1300/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1060631257,I_kwDOBm6k_c4_N_LZ,1528,"Add new `""sql_file""` key to Canned Queries in metadata?",15178711,open,0,,,3,2021-11-22T21:58:01Z,2022-06-10T03:23:08Z,,CONTRIBUTOR,,"Currently for canned queries, you have to inline SQL in your `metadata.yaml` like so: ```yaml databases: fixtures: queries: neighborhood_search: sql: |- select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood title: Search neighborhoods ``` This works fine, but for a few reasons, I usually have my canned queries already written in separate `.sql` files. I'd like to instead re-use those instead of re-writing it. So, I'd like to see a new `""sql_file""` key that works like so: `metadata.yaml`: ```yaml databases: fixtures: queries: neighborhood_search: sql_file: neighborhood_search.sql title: Search neighborhoods ``` `neighborhood_search.sql`: ```sql select neighborhood, facet_cities.name, state from facetable join facet_cities on facetable.city_id = facet_cities.id where neighborhood like '%' || :text || '%' order by neighborhood ``` Both of these would work in the exact same way, where Datasette would instead open + include `neighborhood_search.sql` on startup. A few reasons why I'd like to keep my canned queries SQL separate from metadata.yaml: - Keeping SQL in standalone SQL files means syntax highlighting and other text editor integrations in my code - Multiline strings in yaml, while functional, are a tad cumbersome and are hard to edit - Works well with other tools (can pipe `.sql` files into the `sqlite3` CLI, or use with other SQLite clients easier) - Typically my canned queries are quite long compared to everything else in my metadata.yaml, so I'd love to separate it where possible Let me know if this is a feature you'd like to see, I can try to send up a PR if this sounds right!",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1528/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1200224939,I_kwDOBm6k_c5Hifqr,1707,[feature] expanded detail page,536941,open,0,,,1,2022-04-11T16:29:17Z,2022-04-11T16:33:00Z,,CONTRIBUTOR,,"Right now, if click on the detail page for a row you get the info for the row and links to related tables: ![Screenshot 2022-04-11 at 12-27-26 lm20 filing](https://user-images.githubusercontent.com/536941/162786802-90ac1a71-4624-47c4-ae55-b783f4f6c92d.png) It would be very cool if there was an option to expand the rows of the related tables from within this detail view. If you had that then datasette could fulfill a pretty common use case where you want to search for an entity and get a consolidate detail view about what you know about that entity. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1707/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1193090967,I_kwDOBm6k_c5HHR-X,1699,Proposal: datasette query,25778,open,0,,,6,2022-04-05T12:36:43Z,2022-04-11T01:32:12Z,,CONTRIBUTOR,,"I started sketching out a plugin to add a `datasette query` subcommand to export data from the command line. This is based on discussions in #1356 and #1605. Before I get too far down this rabbit hole, I figure it's worth getting some feedback here (unless this should happen in `Discussions`). Here's what I'm thinking: At its most basic, it will write the results of a query to STDOUT. ```sh datasette query -d data.db 'select * from data' > results.json ``` This isn't much improvement over using [sqlite-utils](https://github.com/simonw/sqlite-utils). To make better use of datasette and its ecosystem, run `datasette query` using a canned query defined in a `metadata.yml` file. For example, using the metadata file from [alltheplaces-datasette](https://github.com/eyeseast/alltheplaces-datasette/blob/main/metadata.yml): ```sh cd alltheplaces-datasette datasette query -d alltheplaces.db -m metadata.yml count_by_spider ``` That query would be good to get as CSV, and we can auto-discover metadata and databases in the current directory: ```sh cd alltheplaces-datasette datasette query count_by_spider -f csv ``` In this case, `count_by_spider` is a canned query defined on the `alltheplaces` database. If the same query is defined on multiple databases or its otherwise unclear which database `query` should use, pass the `-d` or `--database` option. If a query takes parameters, I can pass them in at runtime, using the `--param` or `-p` option: ```sh datasette query -d data.db -p value something 'select * from neighborhoods where some_column = :value' ``` I'm very interested in feedback on this, including whether it should be a plugin or in Datasette core. (I don't have a strong opinion about this, but I'm prototyping it as a plugin to start.)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1699/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1077620955,I_kwDOBm6k_c5AOzDb,1549,Redesign CSV export to improve usability,536941,open,0,,3268330,5,2021-12-11T19:02:12Z,2022-04-04T11:17:13Z,,CONTRIBUTOR,,"*Original title: Set content type for CSV so that browsers will attempt to download instead opening in the browser* Right now, if the user clicks on the CSV related to a table or a query, the response header for the content type is ""content-type: text/plain; charset=utf-8"" Most browsers will try to open a file with this content-type in the browser. This is not what most people want to do, and lots of folks don't know that if they want to download the CSV and open it in the a spreadsheet program they next need to save the page through their browser. It would be great if the response header could be something like ``` 'Content-type: text/csv'); 'Content-disposition: attachment;filename=MyVerySpecial.csv'); ``` which would lead browsers to open a download dialog. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1549/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1182227211,I_kwDOBm6k_c5Gd1sL,1692,[plugins][feature request]: Support additional script tag attributes when loading custom JS,9020979,open,0,,,2,2022-03-27T01:16:03Z,2022-03-30T06:14:51Z,,CONTRIBUTOR,,"## Motivation - The build system for my new [plugin](https://github.com/hydrosquall/datasette-nteract-data-explorer) has two output JS files, one for browsers that support ES modules, one for browsers that don't. At present, I'm only passing one of them into Datasette. - I'd like to specify the non-es-module script as a fallback for older browsers. I don't want to load it by default, because browsers will only need one, and it's heavy, so for now I'm only supporting modern browsers. To be able to support legacy browsers without slowing down users with modern browsers, I would like to be able to set additional HTML attributes on the tag fallback script, `nomodule` and `defer`. My injected scripts should look something like this: ```html ``` ## Proposal To achieve this, I propose additional optional properties to the API accepted by the `extra_js_urls` hook and custom JS field the `metadata.json` [described here](https://docs.datasette.io/en/stable/custom_templates.html#custom-css-and-javascript). Under this API, I'd write something like this to get the above HTML rendered in Datasette. ```json { ""extra_js_urls"": [ { ""url"": ""/index.my-es-module-bundle.js"", ""module"": true, }, { ""url"": ""/index.my-legacy-fallback-bundle.js"", ""nomodule"": """", ""defer"": true } ] } ``` ## Resources - [MDN on the script tag](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/script) - There may be other properties that could be added that are potentially valuable, like `async` or `referrerpolicy`, but I don't have an immediate need for those.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1692/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1181432624,I_kwDOBm6k_c5Gazsw,1688,[plugins][documentation] Is it possible to serve per-plugin static folders when writing one-off (single file) plugins?,9020979,closed,0,,,3,2022-03-26T01:17:44Z,2022-03-27T01:01:14Z,2022-03-26T21:34:47Z,CONTRIBUTOR,,"I'm trying to make a small plugin that depends on static assets, by following the guide [here](https://docs.datasette.io/en/stable/writing_plugins.html#writing-one-off-plugins). I made a `plugins/` directory with `datasette_nteract_data_explorer.py`. I am trying to follow the example of `datasette_vega`, and serving static assets. I created a `statics/` directory within `plugins/` to serve my JS and CSS. https://github.com/simonw/datasette-vega/blob/00de059ab1ef77394ba9f9547abfacf966c479c4/datasette_vega/__init__.py#L13 Unfortunately, datasette doesn't seem to be able to find my assets. Input: ```bash datasette ~/Library/Safari/History.db --plugins-dir=plugins/ ``` ![Image 2022-03-25 at 9 18 17 PM](https://user-images.githubusercontent.com/9020979/160218979-a3ff474b-5255-4a76-85d1-6f90ab2e3b44.jpg) Output: ![Image 2022-03-25 at 9 11 00 PM](https://user-images.githubusercontent.com/9020979/160218733-ca5144cf-f23f-43d8-a8d3-e3a871e57f3a.jpg) I suspect this issue might go away if I move away from ""one-off"" plugin mode, but it's been a while since I created a new python package so I'm not sure how much work there is to go between ""one off"" and ""packaged for PyPI"". I'd like to try to avoid needing to repackage a new `tar.gz` file and or reinstall my library repeatedly when developing new python code. 1. Is there a way to serve a static assets when using the `plugins/` directory method instead of installing plugins as a new python package? 2. If not, is there a way I can work on developing a plugin without creating and repackaging tar.gz files after every change, or is that the recommended path? Thanks for your help! ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1688/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1089529555,I_kwDOBm6k_c5A8ObT,1581,"when hashed urls are turned on, the _memory db has improperly long-lived cache expiry",536941,closed,0,,,1,2021-12-28T00:05:48Z,2022-03-24T04:08:18Z,2022-03-24T04:08:18Z,CONTRIBUTOR,,"if hashed_urls are on, then a -000 suffix is added to the `_memory` database, and the cache settings are set just as if it was a normal hashed database. in particular, this header is set: `cache-control: max-age=31536000` this is not appropriate because the `_memory-000` database isn't really hashed based on the contents of the databases (see #1561). Either the cache-control header should be changed, or the _memory db should have a hash suffix that does depend on the contents of the databases. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1581/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 324835838,MDU6SXNzdWUzMjQ4MzU4Mzg=,276,Handle spatialite geometry columns better,45057,closed,0,,,21,2018-05-21T08:46:55Z,2022-03-21T22:22:20Z,2022-03-21T22:22:20Z,CONTRIBUTOR,,"I'd like to see spatialite geometry columns rendered more sensibly - at the moment they come through as well-known-binary unless you use custom SQL, and WKB isn't of much use to anyone on the web. In HTML: they should be shown either as simple lat/long (if it's just a point, for example), or as a sensible placeholder if they're more complex geometries. In JSON: they should be GeoJSON geometries, (which means they can be automatically fed into a leaflet map with no further messing around). In CSV: they should be WKT. I briefly wondered if this should go into a plugin, but I suspect it needs hooking in at a deeper level than the plugin architecture will support any time soon.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/276/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1082765654,I_kwDOBm6k_c5AibFW,1561,"add hash id to ""_memory"" url if hashed url mode is turned on and crossdb is also turned on",536941,closed,0,,,3,2021-12-17T00:45:12Z,2022-03-19T04:45:40Z,2022-03-19T04:45:40Z,CONTRIBUTOR,,"If hashed_url mode is turned on and crossdb is also turned on, then queries to _memory should have a hash_id. One way that it could work is to have the _memory hash be a hash of all the individual databases. Otherwise, crossdb queries can get quit out of data if using aggressive caching. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1561/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1114147905,I_kwDOBm6k_c5CaIxB,1612,Move canned queries closer to the SQL input area,639012,closed,0,,3268330,5,2022-01-25T17:06:39Z,2022-03-19T04:04:49Z,2022-01-25T18:34:21Z,CONTRIBUTOR,,"*Original title: Consider placing example queries above the sql input?* Hi! Have been enjoying deploying ad hoc datasettes for collaborators to pick over! I keep finding myself manually ""fixing"" the database.html template so that the ""example queries"" (canned queries) appear directly *over* the sql box? So they are sorta more a suggestion for collaborators who aren't inclined to write their own queries? My sense is any time I go to the trouble of writing canned queries my users should see 'em? (( I have also considered a client-side reactive-ish option where selecting a query just places the raw SQL in the box and doesn't execute it, but this seems to end up being an inconvenience, rather than a teaching tool. )) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1612/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1096536240,I_kwDOBm6k_c5BW9Cw,1586,run analyze on all databases as part of start up or publishing,536941,open,0,,,1,2022-01-07T17:52:34Z,2022-02-02T07:13:37Z,,CONTRIBUTOR,,"Running `analyze;` lets sqlite's query planner make *much* better use of any indices. It might be nice if the analyze was run as part of the start up of ""serve"" or ""publish"".",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1586/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1105916061,I_kwDOBm6k_c5B6vCd,1601,Add KNN and data_licenses to hidden tables list,25778,closed,0,,,5,2022-01-17T14:19:57Z,2022-01-20T21:29:44Z,2022-01-20T04:38:54Z,CONTRIBUTOR,,"They're generated by Spatialite and not very interesting in most cases. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1601/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 752966476,MDU6SXNzdWU3NTI5NjY0NzY=,1114,--load-extension=spatialite not working with datasetteproject/datasette docker image,2182,closed,0,,,4,2020-11-29T17:35:20Z,2022-01-20T21:29:42Z,2020-11-29T17:37:45Z,CONTRIBUTOR,,"https://github.com/simonw/datasette/commit/6aa5886379dd9017215904fb28567b80018902f9 added the `--load-extension=spatialite` shortcut looking for the extension in these places: https://github.com/simonw/datasette/blob/12877d7a48e2aa28bb5e780f929a218f7265d849/datasette/utils/__init__.py#L56-L60 However, in the datasetteproject/datasette docker image the file is at `/usr/local/lib/mod_spatialite.so`. This results in the example command [here](https://docs.datasette.io/en/stable/installation.html#loading-spatialite) failing: ``` % docker run --rm -p 8001:8001 -v `pwd`:/mnt datasetteproject/datasette datasette -p 8001 -h 0.0.0.0 /mnt/data.db --load-extension=spatialite Error: Could not find SpatiaLite extension ``` But it does work when given an explicit path: ``` % docker run --rm -p 8001:8001 -v `pwd`:/mnt datasetteproject/datasette datasette -p 8001 -h 0.0.0.0 /mnt/data.db --load-extension=/usr/local/lib/mod_spatialite.so INFO: Started server process [1] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8001 (Press CTRL+C to quit) ... ``` Perhaps `SPATIALITE_PATHS` should include `/usr/local/lib/mod_spatialite.so`?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1114/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 336936010,MDU6SXNzdWUzMzY5MzYwMTA=,331,Datasette throws error when loading spatialite db without extension loaded,82988,closed,0,,,2,2018-06-29T09:51:14Z,2022-01-20T21:29:40Z,2018-07-10T15:13:36Z,CONTRIBUTOR,,"When starting datasette on a SpatialLite database *without* loading the SpatiaLite extension (using eg `--load-extension=/usr/local/lib/mod_spatialite.dylib`) an error is thrown and the server fails to start: ``` datasette -p 8003 adminboundaries.db Serve! files=('adminboundaries.db',) on port 8003 Traceback (most recent call last): File ""/Users/ajh59/anaconda3/bin/datasette"", line 11, in sys.exit(cli()) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/click/core.py"", line 722, in __call__ return self.main(*args, **kwargs) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/click/core.py"", line 697, in main rv = self.invoke(ctx) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/click/core.py"", line 1066, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/click/core.py"", line 895, in invoke return ctx.invoke(self.callback, **ctx.params) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/click/core.py"", line 535, in invoke return callback(*args, **kwargs) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/datasette/cli.py"", line 552, in serve ds.inspect() File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/datasette/app.py"", line 273, in inspect ""tables"": inspect_tables(conn, self.metadata.get(""databases"", {}).get(name, {})) File ""/Users/ajh59/anaconda3/lib/python3.6/site-packages/datasette/inspect.py"", line 79, in inspect_tables ""PRAGMA table_info({});"".format(escape_sqlite(table)) sqlite3.OperationalError: no such module: VirtualSpatialIndex ``` It would be nice to trap this and return a message saying something like: ``` It looks like you're trying to load a SpatiaLite database? Make sure you load in the SpatiaLite extension when starting datasette. Read more: https://datasette.readthedocs.io/en/latest/spatialite.html ``` ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/331/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1076388044,I_kwDOBm6k_c5AKGDM,1547,Writable canned queries fail to load custom templates,127565,closed,0,,7571612,6,2021-12-10T03:31:48Z,2022-01-13T22:27:59Z,2021-12-19T21:12:00Z,CONTRIBUTOR,,"I've created a canned query with `""write"": true` set. I've also created a custom template for it, but the template doesn't seem to be found. If I look in the HTML I see (`stock_exchange` is the db name): `` My non-writeable canned queries pick up custom templates as expected, and if I look at their HTML I see the canned query name added to the templates considered (the canned query here is `date_search`): `` So it seems like the writeable canned query is behaving differently for some reason. Is it an authentication thing? I'm using the built in `--root` authentication. Thanks! ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1547/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1078702875,I_kwDOBm6k_c5AS7Mb,1552,Allow to set `facets_array` in metadata (like current `facets`),3556,closed,0,,7571612,9,2021-12-13T16:00:44Z,2022-01-13T22:26:15Z,2021-12-16T18:47:48Z,CONTRIBUTOR,,"For now, you can set a `facets` value (array) in your metadata file but I couldn't find a way to set a `facets_array` in order to provide default facets for arrays (like tags). My use-case is to access to [that kind of view](https://latest.datasette.io/fixtures/facetable?_facet_array=tags) by default without URL's parameters as with other default facets. _I'm new to datasette, and I'm willing to help with a PR if that is not already implemented and I missed it!_",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1552/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1090810196,I_kwDOBm6k_c5BBHFU,1583,consider adding deletion step of cloudbuild artifacts to gcloud publish,536941,open,0,,,1,2021-12-30T00:33:23Z,2021-12-30T00:34:16Z,,CONTRIBUTOR,,"right now, as part of the the publish process images and other artifacts are stored to gcloud's cloud storage before being deployed to cloudrun. after successfully deploying, it would be nice if the the script deleted these artifacts. otherwise, if you have regularly scheduled build process, you can end up paying to store lots of out of date artifacts.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1583/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1079111498,I_kwDOBm6k_c5AUe9K,1553,if csv export is truncated in non streaming mode set informative response header,536941,open,0,,,3,2021-12-13T22:50:44Z,2021-12-16T19:17:28Z,,CONTRIBUTOR,,"streaming mode is currently not enabled for custom queries, so the queries will be truncated to max row limit. it would be great if a response is truncated that an header signalling that was set in the header. i need to write some pagination code for getting full results back for a custom query and it would make the code much better if i could reliably known when there is nothing more to limit/offset ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1553/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 1059549523,I_kwDOBm6k_c4_J3FT,1526,"Add to vercel.json, rather than overwriting it.",192568,closed,0,,,2,2021-11-22T00:47:12Z,2021-11-22T04:49:45Z,2021-11-22T04:13:47Z,CONTRIBUTOR,,"I'd like to be able to add to vercel.json. But Datasette overwrites whatever I put in that file. I originally reported this here: https://github.com/simonw/datasette-publish-vercel/issues/51 In that case, I wanted to do a rewrite... and now I need to do 301 redirects (because we had to rename our site). Can this be addressed? ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1526/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 845794436,MDU6SXNzdWU4NDU3OTQ0MzY=,1284,Feature or Documentation Request: Individual table as home page template,192568,open,0,,,4,2021-03-31T03:56:17Z,2021-11-04T03:15:01Z,,CONTRIBUTOR,,"It would be great to have a sample showing how to move a single database that has a single table, to the index page. I'm trying it now, and find there is a real depth of Datasette and Python understanding that's required to be successful. I've got all the basic jinja concepts down... variables, template control structures, template inheritance, template overrides, css, html, the --template-dir and --static arguments, etc. But copying the table.html file to index.html doesn't work. There are undocumented functions and filters... I can figure some of them out (yay, url_builder.py and utils/__init__.py!) but it's a slog better handled by a much stronger Python developer. One sample would make a world of difference. The ideal form of this documentation would be a diff between the default table.html and how that would look if essentially moved to index.html. The use case is for everyone who wants to create a public-facing website to explore a single table at the root directory. (Maybe a second bit of documentation for people who have a single database with multiple tables.) (Hmm... might be cool to have a setting for that, where it happens automagically! If only one table, then home page is at the table level. if only one database, then home page is at the database level.... as an option.) I suppose I could ignore this, and somehow do this in the DNS settings once I hook up Vercel to a domain name, maybe.. and remove the breadcrumbs in table.html... but for now, a documentation request in the form of a diff... for viewing a single table (or a single database) at the root. (Actually, there's probably room for a whole expanded section on templates. Noticed some nice table metadata in one of the datasette examples, for instance... Hmm... maybe a whole library of solutions in one place... maybe a documentation hackathon! If that's of interest, of course it's a separate issue. ) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1284/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 950664971,MDU6SXNzdWU5NTA2NjQ5NzE=,1401,unordered list is not rendering bullet points in description_html on database page,536941,open,0,,,2,2021-07-22T13:24:18Z,2021-10-23T13:09:10Z,,CONTRIBUTOR,,"Thanks for this tremendous package, @simonw! In the `description_html` for a database, I [have an unordered list](https://github.com/labordata/warehouse/blob/fcea4502e5b615b0eb3e0bdcb45ec634abe20bb6/warehouse_metadata.yml#L19-L22). However, on the database page on the deployed site, it is not rendering this as a bulleted list. ![Screenshot 2021-07-22 at 09-21-51 nlrb](https://user-images.githubusercontent.com/536941/126645923-2777b7f1-fd4c-4d2d-af70-a35e49a07675.png) Page here: https://labordata-warehouse.herokuapp.com/nlrb-9da4ae5 The documentation gives an [example of using an unordered list](https://docs.datasette.io/en/stable/metadata.html#using-yaml-for-metadata) in a `description_html`, so I expected this will work.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1401/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 988553806,MDU6SXNzdWU5ODg1NTM4MDY=,1457,suggestion: distinguish names in `--static` documentation,51016,closed,0,,,0,2021-09-05T17:04:27Z,2021-10-14T18:39:55Z,2021-10-14T18:39:55Z,CONTRIBUTOR,,"Over in https://docs.datasette.io/en/stable/custom_templates.html#serving-static-files, there is the slightly comical example command - ``` datasette -m metadata.json --static static:static/ --memory ``` (now, with MORE STATIC!) It took me a while to sort out all the URLs and paths involved because I wasn't being very clever. But in the interests of simplification and distinction, I might suggest something like ``` datasette -m metadata.json --static loc:static-files/ --memory ``` I will submit a PR for your consideration.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1457/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1023243105,I_kwDOBm6k_c48_XNh,1486,pipx installation instructions for plugins don't reference pipx inject,41546558,closed,0,,,0,2021-10-12T00:43:42Z,2021-10-13T21:09:11Z,2021-10-13T21:09:11Z,CONTRIBUTOR,,"The datasette [installation instructions](https://github.com/simonw/datasette/blob/main/docs/installation.rst) discuss how to install with pipx, how to upgrade with pipx, and how to upgrade plugins with pipx but do not mention how to install a plugin with pipx. You discussed this on your [blog](https://til.simonwillison.net/python/installing-upgrading-plugins-with-pipx) but looks like this didn't make it in when you updated the docs for pipx (#756). I'll submit a PR shortly to fix this.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1486/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 1006781949,I_kwDOBm6k_c48AkX9,1478,Documentation Request: Feature alternative ID instead of default ID,192568,open,0,,,0,2021-09-24T19:56:13Z,2021-09-25T16:18:54Z,,CONTRIBUTOR,,"My data already has an ID that comes from a federal agency. Would love to have documentation on how to modify the template to: - Remove the generated ID from the table - Link the federal ID to the detail page - and to ensure that the JSON file uses that as the ID. I'd be happy to include the database ID in the export, but not as a key. I don't want to remove the ID from the database, though, because my experience with the federal agency is that data often has anomalies. I don't want all hell to break loose if they end up applying the same ID to multiple rows (which they haven't done yet). I just don't want it to display in the table or the data exports. Perhaps this isn't a template issue, maybe more of a db manipulation... Margie",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1478/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 999902754,I_kwDOBm6k_c47mU4i,1473,base logo link visits `undefined` rather than href url,192568,open,0,,,2,2021-09-18T04:17:04Z,2021-09-19T00:45:32Z,,CONTRIBUTOR,,"I have two connected sites: http://www.SaferOrToxic.org (a Hugo website) and: http://disinfectants.SaferOrToxic.org/disinfectants/listN (a datasette table page) The latter is linked as ""The List"" in the former's menu. (I'd love a prettier URL, but that's what I've got.) On: http://disinfectants.SaferOrToxic.org/disinfectants/listN ... all the other menu links should point back to: https://www.SaferOrToxic.org And they do! But the logo, for some reason--though it has an href pointing to: https://www.SaferOrToxic.org Keeps going to this instead: https://disinfectants.saferortoxic.org/disinfectants/undefined What is causing that? How can I fix it? In #1284 back in March, I was doing battle with the index.html template, in a still unresolved issue. (I wanted only a single table page at the root.) But I thought, well, if I can't resolve that, at least I could just point the main website to the datasette page (""The List,"") and then have the List point back to the home website. The menu hrefs to https://www.SaferOrToxic.org work just fine, exactly as they should, from the datasette page. Even the Home link works properly. But the logo link keeps rewriting to: https://disinfectants.saferortoxic.org/disinfectants/undefined This is the HTML: ``` ``` Is this somehow related to cloudflare? Or something in the datasette code? I'm starting to think it's a cloudflare issue. Can I at least rule out it being a datasette issue? My repository is here: https://github.com/mroswell/list-N (BTW, I couldn't figure out how to reference a local image, either, on the datasette side, which is why I'm using the image from the www home page.) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1473/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 991191951,MDU6SXNzdWU5OTExOTE5NTE=,1464,clean checkout & clean environment has test failures,51016,open,0,,,6,2021-09-08T14:16:23Z,2021-09-13T22:17:17Z,,CONTRIBUTOR,,"I followed the instructions [here](https://docs.datasette.io/en/stable/contributing.html#setting-up-a-development-environment), and even after running `python update-docs-help.py` I get the following failed tests -- any thoughts? ``` FAILED tests/test_api.py::test_searchable[/fixtures/searchable.json?_search=te*+AND+do*&_searchmode=raw-expected_rows3] FAILED tests/test_api.py::test_searchmode[table_metadata1-_search=te*+AND+do*-expected_rows1] FAILED tests/test_api.py::test_searchmode[table_metadata2-_search=te*+AND+do*&_searchmode=raw-expected_rows2] ``` This is with python 3.9.7 and lots of other packages, as in attached environment listing from `conda list`. [conda-installed.txt](https://github.com/simonw/datasette/files/7129487/conda-installed.txt) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1464/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 994390593,MDU6SXNzdWU5OTQzOTA1OTM=,1468,Faceting for custom SQL queries,72577720,closed,0,,,2,2021-09-13T02:52:16Z,2021-09-13T04:54:22Z,2021-09-13T04:54:17Z,CONTRIBUTOR,,"Facets are awesome. But not when I need to join to tidy tables together. Or even just running explicitly the default SQL query that simply lists all the rows and columns of a table (up to SIZE). That is to say, when I browse a table, I see facets: https://latest.datasette.io/fixtures/compound_three_primary_keys But when I run a custom query, I don't: https://latest.datasette.io/fixtures?sql=select+pk1%2C+pk2%2C+pk3%2C+content+from+compound_three_primary_keys+order+by+pk1%2C+pk2%2C+pk3+limit+101 Is there an idiom to cause custom SQL to come back with facet suggestions?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1468/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 989109888,MDU6SXNzdWU5ODkxMDk4ODg=,1460,Override column metadata with metadata from another column,72577720,open,0,,,0,2021-09-06T12:13:33Z,2021-09-06T12:13:33Z,,CONTRIBUTOR,,"I have a table from the PUDL project (https://github.com/catalyst-cooperative/pudl) that looks like this: ``` CREATE TABLE fuel_ferc1 ( id INTEGER NOT NULL, record_id TEXT, utility_id_ferc1 INTEGER, report_year INTEGER, plant_name_ferc1 TEXT, fuel_type_code_pudl VARCHAR(7), fuel_unit VARCHAR(7), fuel_qty_burned FLOAT, fuel_mmbtu_per_unit FLOAT, fuel_cost_per_unit_burned FLOAT, fuel_cost_per_unit_delivered FLOAT, fuel_cost_per_mmbtu FLOAT, PRIMARY KEY (id), FOREIGN KEY(plant_name_ferc1, utility_id_ferc1) REFERENCES plants_ferc1 (plant_name_ferc1, utility_id_ferc1), CONSTRAINT fuel_ferc1_fuel_type_code_pudl_enum CHECK (fuel_type_code_pudl IN ('coal', 'oil', 'gas', 'solar', 'wind', 'hydro', 'nuclear', 'waste', 'unknown')), CONSTRAINT fuel_ferc1_fuel_unit_enum CHECK (fuel_unit IN ('ton', 'mcf', 'bbl', 'gal', 'kgal', 'gramsU', 'kgU', 'klbs', 'btu', 'mmbtu', 'mwdth', 'mwhth', 'unknown')) ); ``` Note that `fuel_unit` is a unit that **pint** can understand, and that `fuel_qty_burned` is a column of data that could be expressed in terms of actual units, not merely as a dimensionless number. Ditto the `fuel_cost_per_unit_...` columns. Is there a way to give a column a default metadata unit (such as *tons* or *USD/ton*) and then let that be overridden when the metadata in another column says *barrels* or *USD/gramsU*? @catalyst-cooperative",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1460/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 988556488,MDU6SXNzdWU5ODg1NTY0ODg=,1459,suggestion: allow `datasette --open` to take a relative URL,51016,open,0,,,1,2021-09-05T17:17:07Z,2021-09-05T19:59:15Z,,CONTRIBUTOR,,"(soft suggestion because I'm not sure I'm using datasette right yet) Over at https://github.com/ctb/2021-sourmash-datasette, I'm playing around with datasette, and I'm creating some static pages to send people to the right facets. There may well be better ways of achieving this end goal, and I will find out if so, I'm sure! But regardless I think it might be neat to support an option to allow `-o/--open` to take a relative URL, that then gets appended to the hostname and port. This would let me improve my documentation. I don't see any downsides, either, but 🀷 there may well be some :) Happy to dig in and provide a PR if it's of interest. I'm not sure off the top of my head how to support an optional value to a parameter in argparse - the current `-o` behavior is kinda nice so it'd be suboptimal to require a url for `-o`. Maybe `--open-url=` or something would work? ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1459/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 988552851,MDU6SXNzdWU5ODg1NTI4NTE=,1456,conda install results in non-functioning `datasette serve` due to out-of-date asgiref,51016,open,0,,,0,2021-09-05T16:59:55Z,2021-09-05T16:59:55Z,,CONTRIBUTOR,,"Over in https://github.com/ctb/2021-sourmash-datasette, I discovered that the following commands fail: ``` conda create -n datasette4 -y datasette=0.58.1 conda activate datasette4 datasette gathertax.db ``` with `ImportError: cannot import name 'WebSocketScope' from 'asgiref.typing'`. This appears to be because asgiref 3.3.4 doesn't have WebSocketScope, but later versions do - a simple ``` pip install asgiref==3.4.1 ``` fixes the problem for me, at least to the point where I can run datasette and poke around as usual. I note that over in the conda-forge recipe, https://github.com/conda-forge/datasette-feedstock/blob/master/recipe/meta.yaml pins asgiref to < 3.4.0, but I'm not sure why - so I'm not sure how to best resolve this issue :).",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1456/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 642572841,MDU6SXNzdWU2NDI1NzI4NDE=,859,Database page loads too slowly with many large tables (due to table counts),3243482,open,0,,,21,2020-06-21T14:23:17Z,2021-08-25T21:59:55Z,,CONTRIBUTOR,,"Hey, I have a database that I save in HTML from couple of web scrapers. There are around 200k+, 50+ rows in a couple of tables, with sqlite file weighing around 600MB. The app runs on a VPS with 2 core CPU, 4GB RAM and refreshing database page regularly takes more than 10 seconds. I was suspecting that counting tables was the culprit, but manually running `select count(*) from table_name` for the largest table finishes under a second. I've looked at the source code. There's a check for index page for mutable databases larger than 100MB https://github.com/simonw/datasette/blob/799c5d53570d773203527f19530cf772dc2eeb24/datasette/views/index.py#L15 but this check is not performed for database page. I've manually crippled `Database::table_counts` method ```py async def table_counts(self, limit=10): if not self.is_mutable and self.cached_table_counts is not None: return self.cached_table_counts # Try to get counts for each table, $limit timeout for each count counts = {} for table in await self.table_names(): try: # table_count = ( # await self.execute( # ""select count(*) from [{}]"".format(table), # custom_time_limit=limit, # ) # ).rows[0][0] counts[table] = 10 # table_count # In some cases I saw ""SQL Logic Error"" here in addition to # QueryInterrupted - so we catch that too: except (QueryInterrupted, sqlite3.OperationalError, sqlite3.DatabaseError): counts[table] = None if not self.is_mutable: self.cached_table_counts = counts return counts ``` now the page loads in <100ms. Is it possible to apply size check on database page too?
/-/versions output 
{
    ""python"": {
        ""version"": ""3.8.0"",
        ""full"": ""3.8.0 (default, Oct 28 2019, 16:14:01) \n[GCC 8.3.0]""
    },
    ""datasette"": {
        ""version"": ""0.44""
    },
    ""asgi"": ""3.0"",
    ""uvicorn"": ""0.11.5"",
    ""sqlite"": {
        ""version"": ""3.22.0"",
        ""fts_versions"": [
            ""FTS5"",
            ""FTS4"",
            ""FTS3""
        ],
        ""extensions"": {
            ""json1"": null
        },
        ""compile_options"": [
            ""COMPILER=gcc-7.4.0"",
            ""ENABLE_COLUMN_METADATA"",
            ""ENABLE_DBSTAT_VTAB"",
            ""ENABLE_FTS3"",
            ""ENABLE_FTS3_PARENTHESIS"",
            ""ENABLE_FTS3_TOKENIZER"",
            ""ENABLE_FTS4"",
            ""ENABLE_FTS5"",
            ""ENABLE_JSON1"",
            ""ENABLE_LOAD_EXTENSION"",
            ""ENABLE_PREUPDATE_HOOK"",
            ""ENABLE_RTREE"",
            ""ENABLE_SESSION"",
            ""ENABLE_STMTVTAB"",
            ""ENABLE_UNLOCK_NOTIFY"",
            ""ENABLE_UPDATE_DELETE_LIMIT"",
            ""HAVE_ISNAN"",
            ""LIKE_DOESNT_MATCH_BLOBS"",
            ""MAX_SCHEMA_RETRY=25"",
            ""MAX_VARIABLE_NUMBER=250000"",
            ""OMIT_LOOKASIDE"",
            ""SECURE_DELETE"",
            ""SOUNDEX"",
            ""TEMP_STORE=1"",
            ""THREADSAFE=1""
        ]
    }
}
",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/859/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 959710008,MDU6SXNzdWU5NTk3MTAwMDg=,1419,`publish cloudrun` should deploy a more recent SQLite version,536941,open,0,,,3,2021-08-04T00:45:55Z,2021-08-05T03:23:24Z,,CONTRIBUTOR,,"I recently changed from deploying a datasette using `datasette publish heroku` to `datasette publish cloudrun`. [A query that ran on the heroku site](https://odpr.bunkum.us/odpr-6c2f4fc?sql=with+pivot_members+as+%28%0D%0A++select%0D%0A++++f_num%2C%0D%0A++++max%28union_name%29+as+union_name%2C%0D%0A++++max%28aff_abbr%29+as+abbreviation%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2007%0D%0A++++%29+as+%222007%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2008%0D%0A++++%29+as+%222008%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2009%0D%0A++++%29+as+%222009%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2010%0D%0A++++%29+as+%222010%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2011%0D%0A++++%29+as+%222011%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2012%0D%0A++++%29+as+%222012%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2013%0D%0A++++%29+as+%222013%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2014%0D%0A++++%29+as+%222014%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2015%0D%0A++++%29+as+%222015%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2016%0D%0A++++%29+as+%222016%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2017%0D%0A++++%29+as+%222017%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2018%0D%0A++++%29+as+%222018%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2019%0D%0A++++%29+as+%222019%22%0D%0A++from%0D%0A++++lm_data%0D%0A++++left+join+ar_membership+using+%28rpt_id%29%0D%0A++where%0D%0A++++members+%21%3D+%27%27%0D%0A++++and+trim%28desig_name%29+%3D+%27NHQ%27%0D%0A++++and+union_name+not+in+%28%0D%0A++++++%27AFL-CIO%27%2C%0D%0A++++++%27CHANGE+TO+WIN%27%2C%0D%0A++++++%27FOOD+ALLIED+SVC+TRADES+DEPT+AFL-CIO%27%0D%0A++++%29%0D%0A++++and+f_num+not+in+%28387%2C+296%2C+123%2C+347%2C+531897%2C+30410%2C+49%29%0D%0A++++and+lower%28ar_membership.category%29+IN+%28%0D%0A++++++%27active+members%27%2C%0D%0A++++++%27active+professional%27%2C%0D%0A++++++%27regular+members%27%2C%0D%0A++++++%27full+time+member%27%2C%0D%0A++++++%27full+time+members%27%2C%0D%0A++++++%27active+education+support+professional%27%2C%0D%0A++++++%27active%27%2C%0D%0A++++++%27active+member%27%2C%0D%0A++++++%27members%27%2C%0D%0A++++++%27see+item+69%27%2C%0D%0A++++++%27regular%27%2C%0D%0A++++++%27dues+paying+members%27%2C%0D%0A++++++%27building+trades+journeyman%27%2C%0D%0A++++++%27full+per+capita+tax+payers%27%2C%0D%0A++++++%27active+postal%27%2C%0D%0A++++++%27active+membership%27%2C%0D%0A++++++%27full-time+member%27%2C%0D%0A++++++%27regular+active+member%27%2C%0D%0A++++++%27journeyman%27%2C%0D%0A++++++%27member%27%2C%0D%0A++++++%27journeymen%27%2C%0D%0A++++++%27one+half+per+capita+tax+payers%27%2C%0D%0A++++++%27schedule+1%27%2C%0D%0A++++++%27active+memebers%27%2C%0D%0A++++++%27active+members+-+us%27%2C%0D%0A++++++%27dues+paying+membership%27%0D%0A++++%29%0D%0A++GROUP+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++*%0D%0Afrom%0D%0A++pivot_members%0D%0Aorder+by%0D%0A++%222019%22+desc%3B), now throws a syntax error on the [cloudrun site](https://labordata.bunkum.us/odpr-6c2f4fc?sql=with+pivot_members+as+%28%0D%0A++select%0D%0A++++f_num%2C%0D%0A++++max%28union_name%29+as+union_name%2C%0D%0A++++max%28aff_abbr%29+as+abbreviation%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2007%0D%0A++++%29+as+%222007%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2008%0D%0A++++%29+as+%222008%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2009%0D%0A++++%29+as+%222009%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2010%0D%0A++++%29+as+%222010%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2011%0D%0A++++%29+as+%222011%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2012%0D%0A++++%29+as+%222012%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2013%0D%0A++++%29+as+%222013%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2014%0D%0A++++%29+as+%222014%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2015%0D%0A++++%29+as+%222015%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2016%0D%0A++++%29+as+%222016%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2017%0D%0A++++%29+as+%222017%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2018%0D%0A++++%29+as+%222018%22%2C%0D%0A++++sum%28number%29+filter+%28%0D%0A++++++where%0D%0A++++++++yr_covered+%3D+2019%0D%0A++++%29+as+%222019%22%0D%0A++from%0D%0A++++lm_data%0D%0A++++left+join+ar_membership+using+%28rpt_id%29%0D%0A++where%0D%0A++++members+%21%3D+%27%27%0D%0A++++and+trim%28desig_name%29+%3D+%27NHQ%27%0D%0A++++and+union_name+not+in+%28%0D%0A++++++%27AFL-CIO%27%2C%0D%0A++++++%27CHANGE+TO+WIN%27%2C%0D%0A++++++%27FOOD+ALLIED+SVC+TRADES+DEPT+AFL-CIO%27%0D%0A++++%29%0D%0A++++and+f_num+not+in+%28387%2C+296%2C+123%2C+347%2C+531897%2C+30410%2C+49%29%0D%0A++++and+lower%28ar_membership.category%29+IN+%28%0D%0A++++++%27active+members%27%2C%0D%0A++++++%27active+professional%27%2C%0D%0A++++++%27regular+members%27%2C%0D%0A++++++%27full+time+member%27%2C%0D%0A++++++%27full+time+members%27%2C%0D%0A++++++%27active+education+support+professional%27%2C%0D%0A++++++%27active%27%2C%0D%0A++++++%27active+member%27%2C%0D%0A++++++%27members%27%2C%0D%0A++++++%27see+item+69%27%2C%0D%0A++++++%27regular%27%2C%0D%0A++++++%27dues+paying+members%27%2C%0D%0A++++++%27building+trades+journeyman%27%2C%0D%0A++++++%27full+per+capita+tax+payers%27%2C%0D%0A++++++%27active+postal%27%2C%0D%0A++++++%27active+membership%27%2C%0D%0A++++++%27full-time+member%27%2C%0D%0A++++++%27regular+active+member%27%2C%0D%0A++++++%27journeyman%27%2C%0D%0A++++++%27member%27%2C%0D%0A++++++%27journeymen%27%2C%0D%0A++++++%27one+half+per+capita+tax+payers%27%2C%0D%0A++++++%27schedule+1%27%2C%0D%0A++++++%27active+memebers%27%2C%0D%0A++++++%27active+members+-+us%27%2C%0D%0A++++++%27dues+paying+membership%27%0D%0A++++%29%0D%0A++GROUP+by%0D%0A++++f_num%0D%0A%29%0D%0Aselect%0D%0A++*%0D%0Afrom%0D%0A++pivot_members%0D%0Aorder+by%0D%0A++%222019%22+desc%3B). I suspect this is because they are running different versions of sqlite3. - Heroku: sqlite3 3.31.1 ([-/versions](https://odpr.bunkum.us/-/versions)) - Cloudrun: sqlite3 3.27.2 ([-/versions](https://labordata.bunkum.us/-/versions)) If so, it would be great to 1. harmonize the sqlite3 versions across platforms 2. update the docker files so as to update the sqlite3 version for cloudrun",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1419/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 951185411,MDU6SXNzdWU5NTExODU0MTE=,1402,feature request: social meta tags,536941,open,0,,,2,2021-07-23T01:57:23Z,2021-07-26T19:31:41Z,,CONTRIBUTOR,,"it would be very nice if the twitter, slack, and other social media could make rich cards when people post a link to a datasette instance ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1402/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 939051549,MDU6SXNzdWU5MzkwNTE1NDk=,1388,Serve using UNIX domain socket,80737,closed,0,,,13,2021-07-07T16:13:37Z,2021-07-11T01:18:38Z,2021-07-10T23:38:32Z,CONTRIBUTOR,,Would it be possible to make datasette serve using UNIX domain socket similar to Uvicorn's ``--uds``?,107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1388/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 913017577,MDU6SXNzdWU5MTMwMTc1Nzc=,1365,pathlib.Path breaks internal schema,25778,closed,0,,,1,2021-06-07T01:40:37Z,2021-06-21T15:57:39Z,2021-06-21T15:57:39Z,CONTRIBUTOR,,"Ran into an issue while trying to build a plugin to render GeoJSON. I'm using pytest's `tmp_path` fixture, which is a `pathlib.Path`, to get a temporary database path. I was getting a weird error involving writes, but I was doing reads. Turns out it's the internal database trying to insert a `Path` where it wants a string. My test looked like this: ```python @pytest.mark.asyncio async def test_render_feature_collection(tmp_path): database = tmp_path / ""test.db"" datasette = Datasette([database]) # this will break with a path await datasette.refresh_schemas() # build a url url = datasette.urls.table(database.stem, TABLE_NAME, format=""geojson"") response = await datasette.client.get(url) fc = response.json() assert 200 == response.status_code ``` I only ran into this while running tests, because passing in database paths from the CLI uses strings, but it's a weird error and probably something other people have run into. The fix is easy enough: Convert the path to a string and everything works. So this: ```python @pytest.mark.asyncio async def test_render_feature_collection(tmp_path): database = tmp_path / ""test.db"" datasette = Datasette([str(database)]) # this is fine now await datasette.refresh_schemas() ``` This could (probably, haven't tested) be fixed [here](https://github.com/simonw/datasette/blob/03ec71193b9545536898a4bc7493274fec48bdd7/datasette/app.py#L357) by calling `str(db.path)` or by doing that conversion earlier.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1365/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 849220154,MDU6SXNzdWU4NDkyMjAxNTQ=,1286,Better default display of arrays of items,192568,open,0,,,5,2021-04-02T13:31:40Z,2021-06-12T12:36:15Z,,CONTRIBUTOR,,"Would be great to have template filters that convert array fields to bullets and/or delimited lists upon table display: ``` |to_bullets |to_comma_delimited |to_semicolon_delimited ``` or maybe: ``` |join_array(""bullet"") |join_array(""bullet"",""square"") |join_array("";"") |join_array("","") ``` Keeping in mind that bullets show up in html as \ while other delimiting characters appear after the value. Of course, the fields themselves would remain as facetable arrays. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1286/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 864969683,MDU6SXNzdWU4NjQ5Njk2ODM=,1305,Index view crashes when any database table is not accessible to actor,416374,closed,0,,,0,2021-04-22T13:44:22Z,2021-06-02T04:26:29Z,2021-06-02T04:26:29Z,CONTRIBUTOR,,"Because of https://github.com/simonw/datasette/blob/main/datasette/views/index.py#L63, the ```tables``` dict built does not include invisible tables; however, if https://github.com/simonw/datasette/blob/main/datasette/views/index.py#L80 is reached (because table_counts was not successfully initialized, e.g. due to a very large database) then as db.get_all_foreign_keys() returns ALL tables, a KeyError will be raised. This error can be recreated with the fixtures.db if any table is hidden, e.g. by adding something like ```""foreign_key_references"": { ""allow"": {} }``` to fixtures-metadata.json and deleting ```or not table_counts``` from https://github.com/simonw/datasette/blob/main/datasette/views/index.py#L77. I'm not sure how to fix this error; perhaps by testing if the table is in the aforementions ```tables``` dict.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1305/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 893890496,MDU6SXNzdWU4OTM4OTA0OTY=,1332,?_facet_size=X to increase number of facets results on the page,192568,closed,0,,,5,2021-05-18T02:40:16Z,2021-05-27T16:13:07Z,2021-05-23T00:34:37Z,CONTRIBUTOR,,"Is there a way to add a parameter to the URL to modify default_facet_size? LIkewise, a way to produce a link on the three dots to expand to all items (or match previous number of items, or add x more)? ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1332/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 884952179,MDU6SXNzdWU4ODQ5NTIxNzk=,1320,Can't use apt-get in Dockerfile when using datasetteproj/datasette as base,2670795,closed,0,,,4,2021-05-10T19:37:27Z,2021-05-24T18:15:56Z,2021-05-24T18:07:08Z,CONTRIBUTOR,,"The datasette base Docker image is super convenient, but there's one problem: if any of the plugins you install require additional system dependencies (e.g., xz, git, curl) then any attempt to use apt in said Dockerfile results in an explosion: ``` $ docker-compose build Building server [+] Building 9.9s (7/9) => [internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 666B 0.0s => [internal] load .dockerignore 0.0s => => transferring context: 34B 0.0s => [internal] load metadata for docker.io/datasetteproject/datasette:latest 0.6s => [base 1/4] FROM docker.io/datasetteproject/datasette@sha256:2250d0fbe57b1d615a8d6df0c9d43deb9533532e00bac68854773d8ff8dcf00a 0.0s => [internal] load build context 1.8s => => transferring context: 2.44MB 1.8s => CACHED [base 2/4] WORKDIR /datasette 0.0s => ERROR [base 3/4] RUN apt-get update && apt-get install --no-install-recommends -y git ssh curl xz-utils 9.2s ------ > [base 3/4] RUN apt-get update && apt-get install --no-install-recommends -y git ssh curl xz-utils: #6 0.446 Get:1 http://security.debian.org/debian-security buster/updates InRelease [65.4 kB] #6 0.449 Get:2 http://deb.debian.org/debian buster InRelease [121 kB] #6 0.459 Get:3 http://httpredir.debian.org/debian sid InRelease [157 kB] #6 0.784 Get:4 http://deb.debian.org/debian buster-updates InRelease [51.9 kB] #6 0.790 Get:5 http://httpredir.debian.org/debian sid/main amd64 Packages [8626 kB] #6 1.003 Get:6 http://deb.debian.org/debian buster/main amd64 Packages [7907 kB] #6 1.180 Get:7 http://security.debian.org/debian-security buster/updates/main amd64 Packages [286 kB] #6 7.095 Get:8 http://deb.debian.org/debian buster-updates/main amd64 Packages [10.9 kB] #6 8.058 Fetched 17.2 MB in 8s (2243 kB/s) #6 8.058 Reading package lists... #6 9.166 E: flAbsPath on /var/lib/dpkg/status failed - realpath (2: No such file or directory) #6 9.166 E: Could not open file - open (2: No such file or directory) #6 9.166 E: Problem opening #6 9.166 E: The package lists or status file could not be parsed or opened. ``` The problem seems to be from completely wiping out `/var/lib/dpkg` in the upstream Dockerfile: https://github.com/simonw/datasette/blob/1b697539f5b53cec3fe13c0f4ada13ba655c88c7/Dockerfile#L18 I've tested without removing the directory and apt works as expected.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1320/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 860734722,MDU6SXNzdWU4NjA3MzQ3MjI=,1302,Fix disappearing facets,192568,open,0,,,0,2021-04-18T18:42:33Z,2021-04-20T07:40:15Z,,CONTRIBUTOR,,"1. Clone https://github.com/mroswell/list-N 2. Run `datasette disinfectants.db -o` 3. Select the `Safer_or_Toxic` facet. 4. Select `Toxic`. 5. Close out the `Safer_or_Toxic` facet. 6. Examine `Suggested facets` list. `Safer_or_Toxic` is GONE. 7. Try some other facets. When you select an element, and then close the list, in some cases, the facet properly returns to the `Suggested facet` list... Arrays and dates properly return to the list, but fields with strings don't return to the list. Since my site is devoted to whether disinfectants are Safer or Toxic, having the suggested facet disappear from the suggested facet list is very confusing* to end-users. This, along with a few other issues, unfortunately proved beyond my own programming ability to address. So I hired a Senior-level developer to address a number of issues, including this disappearing act. 8. Open a new terminal. Run `datasette disinfectants.db -m metadata.json --static static:static/ --template-dir templates/ --plugins-dir plugins/ -p 8001 -o` 9. Repeat steps 3-6, but this time, the Safer_or_Toxic facet returns to the list (and the related URL parameters are removed). I'm not sure how to do a pull request for this, because the plugin contains other functionality that goes beyond this bug. I wanted the facets sorted in a certain order (both in the suggested facet list, and the detail lists) (... the detail lists were hopping around all over the place before...) I wanted the duplicate facets removed (leaving only the one where you can facet by individual item in an array.) I wanted the arrays to be presented in a prettier fashion (I did that in the template... That could be moved over to the plugin at some point) I'm thinking it'll be very helpful if applicable parts of my project's plugin (sort_suggested_facets_plugin.py) will be able to be incorporated back into datasette, but I leave that to you to consider. (* The disappearing facet bug was especially confusing because I'm removing the filters and sql from the table page, at the request of the organization. The filters and sql detail created a lot of confusion for end users who try to find disinfectants used by Hospitals, for instance, as an '=' won't find them, since they are part of the Use_site array.) My disappearing-facet confusion was documented in my own issue: https://github.com/mroswell/list-N/issues/57 (addressed by the plugin). Other facet-related issues here: https://github.com/mroswell/list-N/issues/54 (addressed by the plugin); https://github.com/mroswell/list-N/issues/15 (addressed by template); https://github.com/mroswell/list-N/issues/53 (not yet addressed). ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1302/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 855451460,MDU6SXNzdWU4NTU0NTE0NjA=,1297,"Documentation: json1, and introspection endpoints",192568,open,0,,,0,2021-04-12T00:38:00Z,2021-04-12T01:29:33Z,,CONTRIBUTOR,,"https://docs.datasette.io/en/stable/facets.html notes that: > If your SQLite installation provides the json1 extension (you can check using /-/versions) Datasette will automatically detect columns that contain JSON arrays... When I check -/versions I see two sections relevant to json1: ``` ""extensions"": { ""json1"": null }, ""compile_options"": [ ... ""ENABLE_JSON1"", ``` The ENABLE_JSON1 makes me think json1 is likely available. But the `""json1"": null` made me think it wasn't available (because of the `null`). It would help if the documentation provided clarity about how to know if json1 is installed. It would also be helpful if the `/-/versions` information signalled somehow that that is to be appended to the hostname or domain name (or whatever you want to call it, or simply show it, using `example.com/-/versions` instead of `/-/versions`. Likewise on that last point, for https://docs.datasette.io/en/stable/introspection.html#introspection , at least at some point on that page detailing where those introspection endpoints go. (Sometimes documentation can be so abbreviated that it's hard for new users to figure out what's going on.) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1297/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 853672224,MDU6SXNzdWU4NTM2NzIyMjQ=,1294,"""You can check out any time you like. But you can never leave!""",192568,open,0,,,0,2021-04-08T17:02:15Z,2021-04-08T18:35:50Z,,CONTRIBUTOR,,"(Feel free to rename this one.) - The column gear lets you ""Show not-blank rows."" Then it places a parameter in the URL, which a web developer would notice, but a lot of users won't notice, or know to delete it. Would be good to toggle ""Show not-blank rows"" with ""Show all rows."" (Also would be quite helpful to have a ""Show blank rows | Show all rows"" option) - The column gear lets you ""Sort ascending"" and ""Sort descending"" but then you're stuck with some sort of sorted version thereafter, unless you know to sort the ID column, or to remove the full _sort parameter and its value in the URL. Would be good to offer a ""Remove sort"" option in the gear. - These requests are in the same camp as: https://github.com/simonw/datasette-vega/issues/36 - I suspect there are other url parameter instances where similar analysis would be helpful, but the three above are the use cases I've run across. UPDATE: - It would be helpful to have a ""Previous page"" available for all but the first table page.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1294/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 847700726,MDU6SXNzdWU4NDc3MDA3MjY=,1285,Feature Request or Plugin Request: Numeric Range Facets,192568,open,0,,,0,2021-04-01T01:50:20Z,2021-04-01T02:28:19Z,,CONTRIBUTOR,,"It would be great to offer facets for numeric data ranges. The ranges could pull from typical GIS methods of creating choropleth maps. https://gisgeography.com/choropleth-maps-data-classification/ Of the following, for mapping, I've always preferred a Jenks Natural Breaks, or a cross between Jenks and Pretty breaks. - Equal Intervals - Quantile (equal count) - Standard Deviation - Natural Breaks (Jenks) Classification - Pretty Breaks - Some sort of Aggregate Jenks Classification (this isn't standard, but it would be nice to be able to set classification ranges that work across tables.) Here are some links for Natural Breaks, in case this method is unfamiliar. - https://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization - http://wiki.gis.com/wiki/index.php/Jenks_Natural_Breaks_Classification - https://medium.com/analytics-vidhya/jenks-natural-breaks-best-range-finder-algorithm-8d1907192051 Per that last link, there is a Jenks Python module... They also describe it as data-intensive for larger datasets. Maybe this is a good plugin idea. An example of equal Intervals would be 0 – < 10 10 – < 20 20 – < 30 30 – < 40 It's kind of confusing to have that less-than sign in there. it could also be displayed as: 0 – 10 10 – 20 20 – 30 30 – 40 But then it's not completely clear which category 10 is in, for instance. (Best to right-justify.. and use an ""en dash"" between numbers.) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1285/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 843884745,MDU6SXNzdWU4NDM4ODQ3NDU=,1283,advanced #export causes unexpected scrolling,192568,open,0,,,0,2021-03-29T22:46:57Z,2021-03-29T22:46:57Z,,CONTRIBUTOR,,"1. Visit a datasette table page 2. Click on the ""(advanced)"" link. This adds a fragment identifier ""#export"" to the URL, and scrolls down to the ""Advanced export"" div with the ""export"" id. 3. Manually scroll back up, and click on a suggested facet. The fragment identifier is still present, and the app scrolls back down to the ""Advanced export"" div. I think this is unwanted behavior. The user remedy seems to be to manually remove the ""#export"" from the URL. This behavior happens in my project, and in: https://covid-19.datasettes.com/covid/economist_excess_deaths (for instance) but not in this table: https://global-power-plants.datasettes.com/global-power-plants/global-power-plants",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1283/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 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 839008371,MDU6SXNzdWU4MzkwMDgzNzE=,1274,Might there be some way to comment metadata.json?,192568,closed,0,,,2,2021-03-23T18:33:00Z,2021-03-23T20:14:54Z,2021-03-23T20:14:54Z,CONTRIBUTOR,,"I don't know what license to use... Would be nice to be able to add a comment regarding that uncertainty in my metadata.json file I like laktak's little video comment in favor of Human json (Hjson) https://stackoverflow.com/questions/244777/can-comments-be-used-in-json Hmmm... one of the commenters there said comments are allowed in yaml... so that's a good argument for yaml. Anyhow, just came to mind, and thought I'd mention it here. Looks like https://hjson.github.io/ has the details.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1274/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 273775212,MDU6SXNzdWUyNzM3NzUyMTI=,88,Add NHS England Hospitals example to wiki,15543,closed,0,,,4,2017-11-14T12:29:10Z,2021-03-22T23:46:36Z,2017-11-14T22:54:06Z,CONTRIBUTOR,,"https://nhs-england-hospitals.now.sh and an associated map visualisation: http://run.plnkr.co/preview/cj9zlf1qc0003414y90ajkwpk/ Datasette is wonderful! ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/88/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 794554881,MDU6SXNzdWU3OTQ1NTQ4ODE=,1208,A lot of open(file) functions are used without a context manager thus producing ResourceWarning: unclosed file <_io.TextIOWrapper,4488943,closed,0,,,2,2021-01-26T20:56:28Z,2021-03-11T16:15:49Z,2021-03-11T16:15:49Z,CONTRIBUTOR,,"Your code is full of open files that are never closed, especially when you deal with reading/writing json/yaml files. If you run python with warnings enabled this problem becomes evident. This probably contributes to some memory leaks in long running datasettes if the GC will not 'collect' those resources properly. This is easily fixed by using a context manager instead of just using open: ```python with open('some_file', 'w') as opened_file: opened_file.write('string') ``` In some newer parts of the code you use Path objects 'read_text' and 'write_text' functions which close the file properly and are prefered in some cases. If you want I can create a PR for all places i found this pattern in. Bellow is a fraction of places where i found a ResourceWarning: ```python update-docs-help.py: 20 actual = actual.replace(""Usage: cli "", ""Usage: datasette "") 21: open(docs_path / filename, ""w"").write(actual) 22 datasette\app.py: 210 ): 211: inspect_data = json.load((config_dir / ""inspect-data.json"").open()) 212 if immutables is None: 266 if config_dir and (config_dir / ""settings.json"").exists() and not config: 267: config = json.load((config_dir / ""settings.json"").open()) 268 self._settings = dict(DEFAULT_SETTINGS, **(config or {})) 445 self._app_css_hash = hashlib.sha1( 446: open(os.path.join(str(app_root), ""datasette/static/app.css"")) 447 .read() datasette\cli.py: 130 else: 131: out = open(inspect_file, ""w"") 132 loop = asyncio.get_event_loop() 459 if inspect_file: 460: inspect_data = json.load(open(inspect_file)) 461 ``` ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1208/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 797651831,MDU6SXNzdWU3OTc2NTE4MzE=,1212,Tests are very slow. ,4488943,closed,0,,,4,2021-01-31T08:06:16Z,2021-02-19T22:54:13Z,2021-02-19T22:54:13Z,CONTRIBUTOR,,"Working on my PR i noticed that tests are very slow. The plain pytest run took about 37 minutes for me. However i could shave of about 10 minutes from that if i used pytest-xdist to parallelize execution. `pytest -n 8` is run only in 28 minutes on my machine. I can create a PR to mention that in your documentation. This will be a simple change to add pytest-xdist to requirements and change a command to run pytest in documentation. Does that make sense to you? After a bit more investigation it looks like python-xdist is not an answer. It creates a race condition for tests that try to clead temp dir before run. Profiling shows that most time is spent on conn.executescript(TABLES) in make_app_client function. Which makes sense. Perhaps the better approach would be look at the app_client fixture which is already session scoped, but not used by all test cases. And/or use conn = sqlite3.connect("":memory:"") which is much faster. And/or truncate tables after each TC instead of deleting the file and re-creating them. I can take a look which is the best approach if you give the go-ahead. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1212/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 377156339,MDU6SXNzdWUzNzcxNTYzMzk=,371,datasette publish digitalocean plugin,82988,closed,0,,,3,2018-11-04T14:07:41Z,2021-01-04T20:14:28Z,2021-01-04T20:14:28Z,CONTRIBUTOR,,"Provide support for launching `datasette` on Digital Ocean. Example: [Deploy Docker containers into Digital Ocean](https://blog.machinebox.io/deploy-machine-box-in-digital-ocean-385265fbeafd). Digital Ocean also has a preconfigured VM running Docker that can be launched from the command line via the Digital Ocean API: [Docker One-Click Application](https://www.digitalocean.com/docs/one-clicks/docker/). Related: - Launching containers in Digital Ocean servers running docker: [How To Provision and Manage Remote Docker Hosts with Docker Machine on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-provision-and-manage-remote-docker-hosts-with-docker-machine-on-ubuntu-16-04) - [How To Use Doctl, the Official DigitalOcean Command-Line Client](https://www.digitalocean.com/community/tutorials/how-to-use-doctl-the-official-digitalocean-command-line-client)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/371/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 751195017,MDU6SXNzdWU3NTExOTUwMTc=,1111,Accessing a database's `.json` is slow for very large SQLite files,15178711,open,0,,,3,2020-11-26T00:27:27Z,2021-01-04T19:57:53Z,,CONTRIBUTOR,,"I have a SQLite DB that's pretty large, 23GB and something like 300 million rows. I expect that most queries I run on it will be slow, which is fine, but there are some things that Datasette does that makes working with the DB very slow. Specifically, when I access the `.json` metadata for a table (which I believe it comes from `datasette/views/database.py`, it takes 43 seconds for the request to come in: ```bash $ time curl localhost:9999/out.json {""database"": ""out"", ""size"": 24291454976, ""tables"": [{""name"": ""PageviewsHour"", ""columns"": [""file"", ""code"", ""page"", ""pageviews""], ""primary_keys"": [], ""count"": null, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [], ""outgoing"": [{""other_table"": ""PageviewsHourFiles"", ""column"": ""file"", ""other_column"": ""file_id""}]}, ""private"": false}, {""name"": ""PageviewsHourFiles"", ""columns"": [""file_id"", ""filename"", ""sha256"", ""size"", ""day"", ""hour""], ""primary_keys"": [""file_id""], ""count"": null, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [{""other_table"": ""PageviewsHour"", ""column"": ""file_id"", ""other_column"": ""file""}], ""outgoing"": []}, ""private"": false}, {""name"": ""sqlite_sequence"", ""columns"": [""name"", ""seq""], ""primary_keys"": [], ""count"": 1, ""hidden"": false, ""fts_table"": null, ""foreign_keys"": {""incoming"": [], ""outgoing"": []}, ""private"": false}], ""hidden_count"": 0, ""views"": [], ""queries"": [], ""private"": false, ""allow_execute_sql"": true, ""query_ms"": 43340.23213386536} real 0m43.417s user 0m0.006s sys 0m0.016s ``` I suspect this is because a `COUNT(*)` is happening under the hood, which, when I run it through sqlite directly, does take around the same time: ```bash $ time sqlite3 out.db < <(echo ""select count(*) from PageviewsHour;"") 362794272 real 0m44.523s user 0m2.497s sys 0m6.703s ``` I'm using the `.json` request in the [Observable Datasette Client](https://observablehq.com/@asg017/datasette-client) to 1) verify that a link passed in is a reachable Datasette instance, and 2) a quick way to look at metadata for a db. A few different solutions I can think of: 1. Have some other endpoint, like `/-/datasette.json` that the Observable Datasette client can fetch from to verify that the passed in URL is a valid Datasette (doesnt solve the slow problem, feel free to split this issue into 2) 2. Have a way to turn off table counts when accessing a database's `.json` view, like `?no_count=1` or something 3. Maybe have a timeout on the `table_counts()` function if it takes too long. which is odd, because it seems like it already does that (I think?), I can debug a little more if that's the case More than happy to debug further, or send a PR if you like one of the proposals above!",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1111/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 777677671,MDU6SXNzdWU3Nzc2Nzc2NzE=,1169,Prettier package not actually being cached,3637,closed,0,,,4,2021-01-03T17:04:41Z,2021-01-04T19:52:34Z,2021-01-04T19:52:33Z,CONTRIBUTOR,,"With the current configuration Prettier seems to be installed on every run - which can been [seen from the output](https://github.com/simonw/datasette/runs/1631686028?check_suite_focus=true#step:4:4): ``` npx: installed 1 in 5.166s ``` Prettier isn't explicitly being installed (it's surprising that actually installing the dependencies isn't included in the [actions/cache docs](https://github.com/actions/cache/blob/main/examples.md#macos-and-ubuntu)) but it turns out that `npx` will automatically install the package for the specified command (it actually _guesses_ the package name from the name of the command). I'm not sure where Prettier ends up being installed but it doesn't appear to be in `~/.npm` according to the [post-cache output](https://github.com/simonw/datasette/runs/1631686028#step:7:2) (or `./node_modules` when I tested locally): ``` Cache hit occurred on the primary key Linux-npm-565329898f77080e58b14d45cf816ab94877e6f2ece9d395c369c533548a7ee7, not saving cache. ``` I think there are a couple of approaches to tackling this, you could manually install/cache Prettier within the action, or add a `package.json` with Prettier. I would go with the latter because it's a more standard and maintainable approach and it will also ensure that, along with CI, anyone working on the project will run the same version of Prettier (you'll also get Dependabot JavaScript updates). I've tested the [`package.json` approach on a branch](https://github.com/simonw/datasette/compare/main...benpickles:cache-prettier) and am happy to turn it into a pull request if you fancy. ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1169/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 756875827,MDU6SXNzdWU3NTY4NzU4Mjc=,1129,Fix footer to the bottom of the page,3243482,open,0,,,0,2020-12-04T07:28:07Z,2020-12-04T16:04:29Z,,CONTRIBUTOR,,"Footer doesn't stick to the bottom if the body content isn't long enough to reach the end of viewport. ![before & after](https://user-images.githubusercontent.com/3243482/101134785-f6595a80-361b-11eb-81ce-b8b5cb9c5bc2.png) This can be fixed using flexbox. ```css body { min-height: 100vh; display: flex; flex-direction: column; } .content { flex-grow: 1; } ``` ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1129/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",, 754178780,MDU6SXNzdWU3NTQxNzg3ODA=,1121,Table actions cog is misaligned,3243482,closed,0,,,1,2020-12-01T08:41:25Z,2020-12-03T01:03:19Z,2020-12-03T00:33:36Z,CONTRIBUTOR,,"At the moment it looks like this https://datasette-graphql-demo.datasette.io/github/repos ![image](https://user-images.githubusercontent.com/3243482/100716533-e6e2d300-33c9-11eb-866e-1e83ba228bf5.png) Adding a few flex statements fixes the alignment and centers `h1` text and the cog icon vertically. ![image](https://user-images.githubusercontent.com/3243482/100716605-f8c47600-33c9-11eb-8d69-0e37499cf641.png) ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1121/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 721050815,MDU6SXNzdWU3MjEwNTA4MTU=,1019,"""Edit SQL"" button on canned queries",639012,closed,0,,6026070,7,2020-10-14T00:51:39Z,2020-10-23T19:44:06Z,2020-10-14T03:44:23Z,CONTRIBUTOR,,"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? ",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1019/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 708185405,MDU6SXNzdWU3MDgxODU0MDU=,975,Dependabot couldn't authenticate with https://pypi.python.org/simple/,27856297,closed,0,,,0,2020-09-24T13:44:40Z,2020-09-25T13:34:34Z,2020-09-25T13:34:34Z,CONTRIBUTOR,,"Dependabot couldn't authenticate with https://pypi.python.org/simple/. You can provide authentication details in your [Dependabot dashboard](https://app.dependabot.com/accounts/simonw) by clicking into the account menu (in the top right) and selecting 'Config variables'. [View the update logs](https://app.dependabot.com/accounts/simonw/update-logs/48611311).",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/975/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 649907676,MDU6SXNzdWU2NDk5MDc2NzY=,889,asgi_wrapper plugin hook is crashing at startup,49260,closed,0,,,3,2020-07-02T12:53:13Z,2020-09-15T20:40:52Z,2020-09-15T20:40:52Z,CONTRIBUTOR,,"Steps to reproduce: 1. Install datasette-media plugin `pip install datasette-media` 2. Launch datasette `datasette databasename.db` 3. Error ``` INFO: Started server process [927704] INFO: Waiting for application startup. ERROR: Exception in 'lifespan' protocol Traceback (most recent call last): File ""/home/amjith/.virtualenvs/itsysearch/lib/python3.7/site-packages/uvicorn/lifespan/on.py"", line 48, in main await app(scope, self.receive, self.send) File ""/home/amjith/.virtualenvs/itsysearch/lib/python3.7/site-packages/uvicorn/middleware/proxy_headers.py"", line 45, in __call__ return await self.app(scope, receive, send) File ""/home/amjith/.virtualenvs/itsysearch/lib/python3.7/site-packages/datasette_media/__init__.py"", line 9, in wrapped_app path = scope[""path""] KeyError: 'path' ERROR: Application startup failed. Exiting. ```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/889/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed 649702801,MDU6SXNzdWU2NDk3MDI4MDE=,888,URLs in release notes point to 127.0.0.1,3243482,closed,0,,,1,2020-07-02T07:28:04Z,2020-09-15T20:39:50Z,2020-09-15T20:39:49Z,CONTRIBUTOR,,"Just a quick heads up: Release notes for 0.45 include urls that point to localhost. https://github.com/simonw/datasette/releases/tag/0.45",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/888/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed