Predicated is a library that allows for building predicates to query an in-memory data structure in Elixir.
If available in Hex, the package can be installed
by adding predicated to your list of dependencies in mix.exs:
def deps do
[
{:predicated, "~> 1.1"}
]
endUsing Structs.
predicates = [
%Predicate{
condition: %Condition{
identifier: "last_name",
comparison_operator: "==",
expression: "Armstrong"
},
logical_operator: :and
},
%Predicate{
predicates: [
%Predicate{
condition: %Condition{
identifier: "first_name",
comparison_operator: "==",
expression: "Joe"
},
logical_operator: :or
},
%Predicate{
predicates: [
%Predicate{
condition: %Condition{
identifier: "first_name",
comparison_operator: "==",
expression: "Jill"
},
logical_operator: :and
},
%Predicate{
condition: %Condition{
identifier: "first_name",
comparison_operator: "==",
expression: "Joe"
}
}
]
}
],
logical_operator: :and
},
%Predicate{
condition: %Condition{
identifier: "last_name",
comparison_operator: "==",
expression: "Beaver"
}
}
]
# true && (true || (false && true)) && false
assert Predicated.test(predicates, %{first_name: "Joe", last_name: "Armstrong"}) == falseThe example above could also be written with just plain maps or embedded schema as long as the data shape is the same.
For example
%Predicate{
condition: %Condition{
identifier: "last_name",
comparison_operator: "==",
expression: "Beaver"
}
}converted to a map would be
%{
condition: %{
identifier: "last_name",
comparison_operator: "==",
expression: "Beaver"
}
}Using a query string:
assert Predicated.test("trace_id != 'test123' and profile_id == '123'", %{
trace_id: "test123",
profile_id: "123"
}) == falseSupport for grouped and nested predicates:
assert Predicated.test("organization_id == '123' AND (user_id == '123' OR user_id == '456' OR (user_type == 'admin' OR user_type == 'editor'))", %{
organization_id: "123",
user_id: "767",
user_type: "admin"
}) == trueSupport for boolean and integers:
assert Predicated.test("verified == TRUE AND post.count > 100", %{
verified: true,
post: %{ count: 123 }
}) == trueSupport for dates and datetimes:
assert Predicated.test("dob >= '2020-01-01'::DATE", %{
dob: ~D[2023-02-11]
}) == trueassert Predicated.test("inserted_at >= '2020-01-01T01:50:07Z'::DATETIME", %{
inserted_at: ~U[2020-01-01 10:00:00Z]
}) == trueIntegrating with Ecto it a bit of a manual process at the moment. My hopes are to write some macros that make this less tedious.
The first snippet here constructs a query and then applies the predicates to the query. See the next snippet for how to apply the predicates to the Ecto query.
def list_events_for_topic(
offset: offset,
batch_size: batch_size,
topic_name: topic_name,
topic_identifier: topic_identifier,
predicates: predicates
) do
query =
from_events_for_topic(topic_name: topic_name)
|> where(as(:events).topic_name == ^topic_name)
|> apply_ordering(predicates)
|> where(not is_nil(as(:events).occurred_at))
|> where_available()
query =
unless ER.empty?(topic_identifier) do
where(query, as(:events).topic_identifier == ^topic_identifier)
else
query
end
query =
if Flamel.present?(predicates) do
conditions = apply_predicates(predicates, nil, nil)
from query, where: ^conditions
else
query
end
ER.BatchedResults.new(query, %{"offset" => offset, "batch_size" => batch_size})
endBelow is a snippet from a module that takes in predicates and applies them to an Ecto query.
def apply_predicates([predicate | predicates], nil, nil) do
# first iteration
conditions = apply_predicate(predicate, dynamic(true), nil)
apply_predicates(predicates, conditions, predicate)
end
def apply_predicates([predicate | predicates], conditions, previous_predicate) do
conditions = apply_predicate(predicate, conditions, previous_predicate)
apply_predicates(predicates, conditions, predicate)
end
def apply_predicates([], conditions, _previous_predicate) do
conditions
end
def apply_predicate(%{predicates: predicates}, conditions, previous_predicate)
when length(predicates) > 0 do
nested_conditions = apply_predicates(predicates, dynamic(true), previous_predicate)
case previous_predicate do
nil ->
dynamic([events: events], ^conditions and ^nested_conditions)
%{logical_operator: :and} ->
dynamic([events: events], ^conditions and ^nested_conditions)
%{logical_operator: :or} ->
dynamic([events: events], ^conditions or ^nested_conditions)
end
end
def apply_predicate(
%{
condition: %{identifier: "data." <> path, comparison_operator: "==", expression: value}
},
conditions,
previous_predicate
) do
path = parse_path(path)
case previous_predicate do
nil ->
dynamic([events: events], ^conditions and json_extract_path(events.data, ^path) == ^value)
%{logical_operator: :and} ->
dynamic([events: events], ^conditions and json_extract_path(events.data, ^path) == ^value)
%{logical_operator: :or} ->
dynamic([events: events], ^conditions or json_extract_path(events.data, ^path) == ^value)
_ ->
conditions
end
end
def apply_predicate(
%{
condition: %{
identifier: "context." <> path,
comparison_operator: "==",
expression: value
}
},
conditions,
previous_predicate
) do
path = parse_path(path)
case previous_predicate do
nil ->
dynamic(
[events: events],
^conditions and json_extract_path(events.context, ^path) == ^value
)
%{logical_operator: :and} ->
dynamic(
[events: events],
^conditions and json_extract_path(events.context, ^path) == ^value
)
%{logical_operator: :or} ->
dynamic(
[events: events],
^conditions or json_extract_path(events.context, ^path) == ^value
)
_ ->
conditions
end
end
def apply_predicate(
%{
condition: %{identifier: field, comparison_operator: "==", expression: value}
},
conditions,
previous_predicate
) do
field = String.to_atom(field)
case previous_predicate do
nil ->
dynamic([events: events], ^conditions and field(events, ^field) == ^value)
%{logical_operator: :and} ->
dynamic([events: events], ^conditions and field(events, ^field) == ^value)
%{logical_operator: :or} ->
dynamic([events: events], ^conditions or field(events, ^field) == ^value)
_ ->
conditions
end
end- Implement grouped/nested predicates in the query parser
- Update docs to include example of using it with Ecto
- Better handle non-terminal conditions when predicates are malformed
- More tests
- Write some macros that make integrating with Ecto nicer and drier
- Add debugger that displays all the conditions and their results
Documentation can be generated with ExDoc and published on HexDocs. Once published, the docs can be found at https://hexdocs.pm/predicated.