datasette-auth-tokens
Datasette plugin for authenticating access using API tokens
Installation
Install this plugin in the same environment as Datasette.
$ pip install datasette-auth-tokens
Hard-coded tokens
Read about Datasette's authentication and permissions system.
This plugin lets you configure secret API tokens which can be used to make authenticated requests to Datasette.
First, create a random API token. A useful recipe for doing that is the following:
$ python -c 'import secrets; print(secrets.token_hex(32))'
5f9a486dd807de632200b17508c75002bb66ca6fde1993db1de6cbd446362589
Decide on the actor that this token should represent, for example:
{
""bot_id"": ""my-bot""
}You can then use ""allow"" blocks to provide that token with permission to access specific actions. To enable access to a configured writable SQL query you could use this in your metadata.json:
{
""plugins"": {
""datasette-auth-tokens"": {
""tokens"": [
{
""token"": {
""$env"": ""BOT_TOKEN""
},
""actor"": {
""bot_id"": ""my-bot""
}
}
]
}
},
""databases"": {
"":memory:"": {
""queries"": {
""show_version"": {
""sql"": ""select sqlite_version()"",
""allow"": {
""bot_id"": ""my-bot""
}
}
}
}
}
}This uses Datasette's secret configuration values mechanism to allow the secret token to be passed as an environment variable.
Run Datasette like this:
BOT_TOKEN=""this-is-the-secret-token"" \
datasette -m metadata.json
You can now run authenticated API queries like this:
$ curl -H 'Authorization: Bearer this-is-the-secret-token' \
'http://127.0.0.1:8001/:memory:/show_version.json?_shape=array'
[{""sqlite_version()"": ""3.31.1""}]
Additionally you can allow passing the token as a query string parameter, although that's disabled by default given the security implications of URLs with secret tokens included. This may be useful to easily allow embedding data between different services.
Simply enable it using the param config value:
{
""plugins"": {
""datasette-auth-tokens"": {
""tokens"": [
{
""token"": {
""$env"": ""BOT_TOKEN""
},
""actor"": {
""bot_id"": ""my-bot""
},
}
],
""param"": ""_auth_token""
}
},
""databases"": {
"":memory:"": {
""queries"": {
""show_version"": {
""sql"": ""select sqlite_version()"",
""allow"": {
""bot_id"": ""my-bot""
}
}
}
}
}
}You can now run authenticated API queries like this:
$ curl http://127.0.0.1:8001/:memory:/show_version.json?_shape=array&_auth_token=this-is-the-secret-token
[{""sqlite_version()"": ""3.31.1""}]
Tokens from your database
As an alternative (or in addition) to the hard-coded list of tokens you can store tokens in a database table and configure the plugin to access them using a SQL query.
Your query needs to take a :token_id parameter and return at least two columns: one called token_secret and one called actor_* - usually actor_id. Further actor_ prefixed columns can be returned to provide more details for the authenticated actor.
Here's a simple example of a configuration query:
select actor_id, actor_name, token_secret from tokens where token_id = :token_id
This can run against a table like this one:
| token_id | token_secret | actor_id | actor_name |
|---|---|---|---|
| 1 | bd3c94f51fcd | 78 | Cleopaws |
| 2 | 86681b4d6f66 | 32 | Pancakes |
The tokens are formed as the token ID, then a hyphen, then the token secret. For example:
1-bd3c94f51fcd2-86681b4d6f66
The SQL query will be executed with the portion before the hyphen as the :token_id parameter.
The token_secret value returned by the query will be compared to the portion of the token after the hyphen to check if the token is valid.
Columns with a prefix of actor_ will be used to populate the actor dictionary. In the above example, a token of 2-86681b4d6f66 will become an actor dictionary of {""id"": 32, ""name"": ""Pancakes""}.
To configure this, use a ""query"" block in your plugin configuration like this:
{
""plugins"": {
""datasette-auth-tokens"": {
""query"": {
""sql"": ""select actor_id, actor_name, token_secret from tokens where token_id = :token_id"",
""database"": ""tokens""
}
}
},
""databases"": {
""tokens"": {
""allow"": {}
}
}
}The ""sql"" key here contains the SQL query. The ""database"" key has the name of the attached database file that the query should be executed against - in this case it would execute against tokens.db.
Securing your tokens
Anyone with access to your Datasette instance can use it to read the token_secret column in your tokens table. This probably isn't what you want!
To avoid this, you should lock down access to that table. The configuration example above shows how to do this using an ""allow"": {} block. Consult Datasette's Permissions documentation for more information about how to lock down this kind of access.