deno-slack-data-mapper
The deno-slack-data-mapper is a Deno library, which provides a greatly handy way to manage data using Slack’s next-generation hosting platform datastores.
While the underlying datastore APIs are easy enough to use, building a DynamoDB-syntax query in your code can sometimes be bothersome (especially when having many arguments).
This library brings the following benefits to developers:
- Intuitive Expression Builder
- Type-safety for Quries
- Type-safe Response Data Access
Intuitive Expression Builder
No need to learn the DynamoDB syntax anymore! With this library, you can build a complex query with and/or parts intuitively.
For the simple equal questions such id = ?
or title = ?
, just passing
{ where: { id: "123" }}
works as you expect.
For other operators such as <
, >=
, begins_with()
, contains
, and
between A and B
, you can pass something like
{ where: { maxParticipants: { value: 100, operator: Operator.GreaterThan } } }
.
Also, even combining a few expressions in and
/or
arrays is feasible like you
can see in the above video.
Type-safety for Quries
Your put operations and queries will be validated by the TypeScript compiler
based on your DefineDatastore
’s metadata.
As of the currently latest version, only string
, number
, boolean
, and
their array[*]
types are supported. Others can be used as any
-typed values.
Type-safe Response Data Access
The item
/ items
in datastore operation responses provide type-safe access
to their attributes by leveraging your DefineDatastore
’s metadata.
As of the currently latest version, only string
, number
, boolean
, and
their array[*]
types are properly supported. Others can be used as any
-typed
values. In addition, when an attribute has the required: true
constraint in
the datastore definition, the attribute in item data cannot be undefined.
Getting Started
Once you define a datastore table and its list of properties, your code is ready to use the data mapper. The complete project is available under ./examples directory.
datastores/surveys.ts
Here is a simple datastore definition:
import { DefineDatastore, Schema } from "deno-slack-sdk/mod.ts";
export const Surveys = DefineDatastore(
{
name: "surveys",
// The primary key's type must be a string
primary_key: "id",
attributes: {
id: { type: Schema.types.string, required: true },
title: { type: Schema.types.string, required: true },
question: { type: Schema.types.string }, // optional
maxParticipants: { type: Schema.types.number }, // optional
closed: { type: Schema.types.boolean, required: true },
},
} as const, // `as const` here is necessary to pass `required` value to DataMapper
);
functions/survey_demo.ts
In your custom function, you can instantiate DataMapper
with the above
datastore table definition this way:
new DataMapper<typeof Surveys.definition>(...)
.
import { DefineFunction, SlackFunction } from "deno-slack-sdk/mod.ts";
// Add the following to import_map.json
// "deno-slack-data-mapper/": "https://deno.land/x/deno_slack_data_mapper@0.7.0/",
import { DataMapper, Operator } from "deno-slack-data-mapper/mod.ts";
import { Surveys } from "../datastores/surveys.ts";
export const def = DefineFunction({
callback_id: "datastore-demo",
title: "Datastore demo",
source_file: "functions/survey_demo.ts",
input_parameters: { properties: {}, required: [] },
output_parameters: { properties: {}, required: [] },
});
export default SlackFunction(def, async ({ client }) => {
// Instantiate a DataMapper:
const mapper = new DataMapper<typeof Surveys.definition>({
datastore: Surveys.definition,
client,
logLevel: "DEBUG",
});
const creation = await mapper.save({
attributes: {
"id": "1",
"title": "Good things in our company",
"questions": [
"Can you share the things you love about our corporate culture?",
],
"maxParticipants": 10,
"closed": false,
},
});
console.log(`creation result 1: ${JSON.stringify(creation, null, 2)}`);
if (creation.error) {
return { error: `Failed to create a record - ${creation.error}` };
}
const creation2 = await mapper.save({
attributes: {
"id": "2",
"title": "Project ideas",
"questions": [
"Can you share interesting ideas for our future growth? Any crazy ideas are welcomed!",
],
"maxParticipants": 150,
},
});
console.log(`creation result 2: ${JSON.stringify(creation2, null, 2)}`);
const results = await mapper.findById({ id: "1" });
console.log(`query result 1 (findById): ${JSON.stringify(results, null, 2)}`);
if (results.error) {
return { error: `Failed to find a record by ID - ${results.error}` };
}
// Type-safe access to the item properties
const id: string = results.item.id;
const title: string = results.item.title;
const questions: string[] = results.item.questions;
const maxParticipants: number | undefined = results.item.maxParticipants;
const closed: boolean = results.item.closed;
console.log(
`id: ${id}, title: ${title}, questions: ${questions}, maxParticipants: ${maxParticipants}, closed: ${closed}`,
);
const results2 = await mapper.findAllBy({
where: { title: "Project ideas" },
});
// {
// "expression": "#tt0k11 = :tt0k11",
// "attributes": {
// "#tt0k11": "title"
// },
// "values": {
// ":tt0k11": "Project ideas"
// }
// }
console.log(
`query result 2 (findAllBy + simple '=' query): ${
JSON.stringify(results2, null, 2)
}`,
);
if (results2.error) {
return { error: `Failed to find records - ${results2.error}` };
}
const results3 = await mapper.findAllBy({
where: {
maxParticipants: {
value: 100,
operator: Operator.GreaterThan,
},
},
});
// {
// "expression": "#e3oad1 > :e3oad1",
// "attributes": {
// "#e3oad1": "maxParticipants"
// },
// "values": {
// ":e3oad1": 100
// }
// }
console.log(
`query result 3 (findAllBy + '>' query): ${
JSON.stringify(results3, null, 2)
}`,
);
if (results3.error) {
return { error: `Failed to find records - ${results3.error}` };
}
const results4 = await mapper.findAllBy({
where: {
maxParticipants: {
value: [100, 300],
operator: Operator.Between,
},
},
});
// {
// "expression": "#z5i0h1 between :z5i0h10 and :z5i0h11",
// "attributes": {
// "#z5i0h1": "maxParticipants"
// },
// "values": {
// ":z5i0h10": 100,
// ":z5i0h11": 300
// }
// }
console.log(
`query result 4 (findAllBy + 'between ? and ?' query): ${
JSON.stringify(results4, null, 2)
}`,
);
if (results4.error) {
return { error: `Failed to find records - ${results4.error}` };
}
const results5 = await mapper.findAllBy({
where: {
or: [
{ maxParticipants: { value: [100, 300], operator: Operator.Between } },
{
and: [
{ id: "1" },
{ title: { value: "Good things", operator: Operator.BeginsWith } },
],
},
],
},
});
// {
// "expression": "(#nrdak1 between :nrdak10 and :nrdak11) or ((#v1ec82 = :v1ec82) and (begins_with(#xu2ie3, :xu2ie3)))",
// "attributes": {
// "#nrdak1": "maxParticipants",
// "#v1ec82": "id",
// "#xu2ie3": "title"
// },
// "values": {
// ":nrdak10": 100,
// ":nrdak11": 300,
// ":v1ec82": "1",
// ":xu2ie3": "Good things"
// }
// }
console.log(
`query result 5 (findAllBy + '(between ? and ?) or (id = ?)' query): ${
JSON.stringify(results5, null, 2)
}`,
);
if (results5.error) {
return { error: `Failed to find records - ${results5.error}` };
}
const modification = await mapper.save({
attributes: {
"id": "1",
"title": "Good things in our company",
"maxParticipants": 20,
},
});
console.log(`modification result: ${JSON.stringify(modification, null, 2)}`);
if (modification.error) {
return { error: `Failed to update a record - ${modification.error}` };
}
const deletion = await mapper.deleteById({ id: "1" });
console.log(`deletion result 1: ${JSON.stringify(deletion, null, 2)}`);
if (deletion.error) {
return { error: `Failed to delete a record - ${deletion.error}` };
}
const deletion2 = await mapper.deleteById({ id: "2" });
console.log(`deletion result 2: ${JSON.stringify(deletion, null, 2)}`);
if (deletion2.error) {
return { error: `Failed to delete a record - ${deletion2.error}` };
}
return { outputs: {} };
});
workfllows/survey_demo.ts
This file is very straightforward. There is nothing specific to this data-mapper library:
import { DefineWorkflow } from "deno-slack-sdk/mod.ts";
import { def as Demo } from "../functions/survey_demo.ts";
export const workflow = DefineWorkflow({
callback_id: "data-mapper-demo-workflow",
title: "Data Mapper Demo Workflow",
input_parameters: { properties: {}, required: [] },
});
workflow.addStep(Demo, {});
manifest.ts
The same as above, there is nothing specific to this data-mapper library:
import { Manifest } from "deno-slack-sdk/mod.ts";
import { Surveys } from "./datastores/surveys.ts";
import { workflow as SurveyDemo } from "./workflows/survey_demo.ts";
export default Manifest({
name: "data-mapper-examples",
description: "Data Mapper Example App",
icon: "assets/default_new_app_icon.png",
datastores: [Surveys],
workflows: [SurveyDemo],
outgoingDomains: [],
botScopes: [
"commands",
"datastore:read",
"datastore:write",
],
});
License
The MIT License