2019-11-20 21:21:30 +03:00
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module Data.HashMap.Strict.Extended
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2021-09-24 01:56:37 +03:00
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( module M,
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catMaybes,
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fromListOn,
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unionsAll,
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groupOn,
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groupOnNE,
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differenceOn,
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lpadZip,
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mapKeys,
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unionsWith,
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)
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where
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2019-11-20 21:21:30 +03:00
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2021-09-24 01:56:37 +03:00
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import Data.Align qualified as A
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import Data.Foldable qualified as F
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import Data.Function
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import Data.HashMap.Strict as M
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import Data.Hashable
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import Data.List.NonEmpty (NonEmpty (..))
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import Data.These
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import Prelude
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2019-11-20 21:21:30 +03:00
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catMaybes :: HashMap k (Maybe v) -> HashMap k v
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catMaybes = M.mapMaybe id
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fromListOn :: (Eq k, Hashable k) => (v -> k) -> [v] -> HashMap k v
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fromListOn f = fromList . Prelude.map (\v -> (f v, v))
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2019-11-27 01:49:42 +03:00
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-- | Like 'M.unions', but keeping all elements in the result.
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unionsAll :: (Eq k, Hashable k, Foldable t) => t (HashMap k v) -> HashMap k (NonEmpty v)
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2021-09-24 01:56:37 +03:00
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unionsAll = F.foldl' (\a b -> unionWith (<>) a (fmap (:| []) b)) M.empty
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2019-11-27 01:49:42 +03:00
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2019-11-20 21:21:30 +03:00
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-- | Given a 'Foldable' sequence of values and a function that extracts a key from each value,
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-- returns a 'HashMap' that maps each key to a list of all values in the sequence for which the
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-- given function produced it.
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--
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-- >>> groupOn (take 1) ["foo", "bar", "baz"]
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-- fromList [("f", ["foo"]), ("b", ["bar", "baz"])]
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groupOn :: (Eq k, Hashable k, Foldable t) => (v -> k) -> t v -> HashMap k [v]
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2019-11-27 01:49:42 +03:00
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groupOn f = fmap F.toList . groupOnNE f
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groupOnNE :: (Eq k, Hashable k, Foldable t) => (v -> k) -> t v -> HashMap k (NonEmpty v)
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2021-09-24 01:56:37 +03:00
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groupOnNE f = Prelude.foldr (\v -> M.alter (Just . (v :|) . maybe [] F.toList) (f v)) M.empty
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2019-11-20 21:21:30 +03:00
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differenceOn :: (Eq k, Hashable k, Foldable t) => (v -> k) -> t v -> t v -> HashMap k v
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differenceOn f = M.difference `on` (fromListOn f . F.toList)
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-- | Analogous to 'A.lpadZip', but on 'HashMap's instead of lists.
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lpadZip :: (Eq k, Hashable k) => HashMap k a -> HashMap k b -> HashMap k (Maybe a, b)
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2021-09-24 01:56:37 +03:00
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lpadZip left =
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catMaybes . flip A.alignWith left \case
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This _ -> Nothing
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That b -> Just (Nothing, b)
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These a b -> Just (Just a, b)
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[Preview] Inherited roles for postgres read queries
fixes #3868
docker image - `hasura/graphql-engine:inherited-roles-preview-48b73a2de`
Note:
To be able to use the inherited roles feature, the graphql-engine should be started with the env variable `HASURA_GRAPHQL_EXPERIMENTAL_FEATURES` set to `inherited_roles`.
Introduction
------------
This PR implements the idea of multiple roles as presented in this [paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FGALanguageICDE07.pdf). The multiple roles feature in this PR can be used via inherited roles. An inherited role is a role which can be created by combining multiple singular roles. For example, if there are two roles `author` and `editor` configured in the graphql-engine, then we can create a inherited role with the name of `combined_author_editor` role which will combine the select permissions of the `author` and `editor` roles and then make GraphQL queries using the `combined_author_editor`.
How are select permissions of different roles are combined?
------------------------------------------------------------
A select permission includes 5 things:
1. Columns accessible to the role
2. Row selection filter
3. Limit
4. Allow aggregation
5. Scalar computed fields accessible to the role
Suppose there are two roles, `role1` gives access to the `address` column with row filter `P1` and `role2` gives access to both the `address` and the `phone` column with row filter `P2` and we create a new role `combined_roles` which combines `role1` and `role2`.
Let's say the following GraphQL query is queried with the `combined_roles` role.
```graphql
query {
employees {
address
phone
}
}
```
This will translate to the following SQL query:
```sql
select
(case when (P1 or P2) then address else null end) as address,
(case when P2 then phone else null end) as phone
from employee
where (P1 or P2)
```
The other parameters of the select permission will be combined in the following manner:
1. Limit - Minimum of the limits will be the limit of the inherited role
2. Allow aggregations - If any of the role allows aggregation, then the inherited role will allow aggregation
3. Scalar computed fields - same as table column fields, as in the above example
APIs for inherited roles:
----------------------
1. `add_inherited_role`
`add_inherited_role` is the [metadata API](https://hasura.io/docs/1.0/graphql/core/api-reference/index.html#schema-metadata-api) to create a new inherited role. It accepts two arguments
`role_name`: the name of the inherited role to be added (String)
`role_set`: list of roles that need to be combined (Array of Strings)
Example:
```json
{
"type": "add_inherited_role",
"args": {
"role_name":"combined_user",
"role_set":[
"user",
"user1"
]
}
}
```
After adding the inherited role, the inherited role can be used like single roles like earlier
Note:
An inherited role can only be created with non-inherited/singular roles.
2. `drop_inherited_role`
The `drop_inherited_role` API accepts the name of the inherited role and drops it from the metadata. It accepts a single argument:
`role_name`: name of the inherited role to be dropped
Example:
```json
{
"type": "drop_inherited_role",
"args": {
"role_name":"combined_user"
}
}
```
Metadata
---------
The derived roles metadata will be included under the `experimental_features` key while exporting the metadata.
```json
{
"experimental_features": {
"derived_roles": [
{
"role_name": "manager_is_employee_too",
"role_set": [
"employee",
"manager"
]
}
]
}
}
```
Scope
------
Only postgres queries and subscriptions are supported in this PR.
Important points:
-----------------
1. All columns exposed to an inherited role will be marked as `nullable`, this is done so that cell value nullification can be done.
TODOs
-------
- [ ] Tests
- [ ] Test a GraphQL query running with a inherited role without enabling inherited roles in experimental features
- [] Tests for aggregate queries, limit, computed fields, functions, subscriptions (?)
- [ ] Introspection test with a inherited role (nullability changes in a inherited role)
- [ ] Docs
- [ ] Changelog
Co-authored-by: Vamshi Surabhi <6562944+0x777@users.noreply.github.com>
GitOrigin-RevId: 3b8ee1e11f5ceca80fe294f8c074d42fbccfec63
2021-03-08 14:14:13 +03:00
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-- | @'mapKeys' f s@ is the map obtained by applying @f@ to each key of @s@.
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--
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-- The size of the result may be smaller if @f@ maps two or more distinct
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-- keys to the same new key. In this case the value at the greatest of the
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-- original keys is retained.
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--
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-- > mapKeys (+ 1) (fromList [(5,"a"), (3,"b")]) == fromList [(4, "b"), (6, "a")]
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-- > mapKeys (\ _ -> 1) (fromList [(1,"b"), (2,"a"), (3,"d"), (4,"c")]) == singleton 1 "c"
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-- > mapKeys (\ _ -> 3) (fromList [(1,"b"), (2,"a"), (3,"d"), (4,"c")]) == singleton 3 "c"
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--
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-- copied from https://hackage.haskell.org/package/containers-0.6.4.1/docs/src/Data.Map.Internal.html#mapKeys
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mapKeys :: (Ord k2, Hashable k2) => (k1 -> k2) -> HashMap k1 a -> HashMap k2 a
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mapKeys f = fromList . foldrWithKey (\k x xs -> (f k, x) : xs) []
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-- | The union of a list of maps, with a combining operation:
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-- (@'unionsWith' f == 'Prelude.foldl' ('unionWith' f) 'empty'@).
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--
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-- > unionsWith (++) [(fromList [(5, "a"), (3, "b")]), (fromList [(5, "A"), (7, "C")]), (fromList [(5, "A3"), (3, "B3")])]
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-- > == fromList [(3, "bB3"), (5, "aAA3"), (7, "C")]
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--
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-- copied from https://hackage.haskell.org/package/containers-0.6.4.1/docs/src/Data.Map.Internal.html#unionsWith
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unionsWith :: (Foldable f, Hashable k, Ord k) => (a -> a -> a) -> f (HashMap k a) -> HashMap k a
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2021-09-24 01:56:37 +03:00
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unionsWith f ts =
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F.foldl' (unionWith f) empty ts
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