@rocketbean/data-repo
v1.2.1
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on-File data repository, file caching, out of process memory module for nodejs
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data-repo
Github: https://github.com/rocketbean/data-repo/releases
npm: https://www.npmjs.com/package/@rocketbean/data-repo
data-repo is a file-based data storage, which dev's can do basic CRUD operation to a model. this lib might be useful for file caching, or tracking processes outside the node process env, e.g. on managing clusters.
start by creating an instance:
import DataRepo, { Model } from "@rocketbean/data-repo";
import path from "path"
var repo = await DataRepo.init({
storage: path.join(process.cwd(), "./storage2"),
driver: "file",
name: "box",
hashfrom: "boxed",
options: {
writeAs: "hash",
passphrase: "context",
reset: false,
},
});
initialization will require parameters:
parameters prefixed with "*" is a default setting.
- storage [string] - directory where repo and accommodated files will be saved
- name [string] - a name for the container, this property have no effect to new or existing repo.
- hashfrom [string] - this hash string will be used for naming containers and repo file, chaging this property after initialization will cause repo to be re-initialized and into a new set of instance.
- driver [string]["file"] - a storage driver option. As of this release, "file" is the only available driver.
- options [object] - associated options, to change the behavior of the repo.
- options[writeAs] [string] - option on how the contents will be saved.
*"readable" - contents will be readable as it will be parsed as JSON string
"hash" - the writer will encrypt contents, with a passphrase.
- options[passphrase] [string] - passphrase to use with the encoding
- options[reset] [string|bool ] - passphrase to use with the encoding
*false - the storage will not be refreshed or deleted.
"invoke" - the storage will be reset everytime the repo is invoked.
creating a Model var repo = await DataRepo.init({ storage: path.join(process.cwd(), "./storage2"), driver: "file", name: "box", hashfrom: "boxed", options: { writeAs: "hash", passphrase: "context", reset: false, }, });
let clusterModel = await repo.createModel("cluster",
{
session: {
type: "",
unique: true,
},
text: {
type: "",
},
threads: {
type: [],
required: true,
},
logs: {
type: [],
},
},
{
max: 3, // do not declare this option to set the max record to unlimited.
strict: true, // set to false to allow extra property.
});
Model parameters:
- name [string]- Model name
- Schema [object]- a basic schema:
- Schema[type][any] - DataType for this declaration,
- Schema[required][bool] - marking this propeprty as required.
- Schema[unique][bool] - marking this propeprty as required && unique.
- Options [object] - additional options for the model:
- Options [max] [number] - if this option is set, the records will be limited to the declared value.
- Options [strict] [bool] - if enabled, properties that is undeclared in the schema will not be allowed.
Model CRUD Operations:
async Model.create({}) - creating a record Parameter can be Array[] or Object{}
// creating a single record
await clusterModel.create({
session: uuidv4(),
threads: [],
logs: {
log: {
message: "initialized",
},
},
text: "init",
});
// Or creating multiple record
await clusterModel.create([
{
session: uuidv4(),
threads: [],
logs: {
log: {
message: "started",
},
},
text: "start",
},
{
session: uuidv4(),
threads: [],
logs: {
log: {
message: "running",
},
},
text: "processing",
}
]);
async Model.get(< identifier>) - getting a record
< identifier>[as string] - if string is declared, items will be matched with the "_id" property that is automatically created and is unique. if matched, it will always return as a single object.
< identifier>["*"] - returns all the records.
< identifier>[as object] - if type of [object] is passed, it will try to match keys and values to the record, it may return as a single object or an array for multiple results.
// fetching record using string
// this is an example value for ["\_id"]
await clusterModel.get('4d4b2c18-bc88-4c50-a599-7d0a58931634')
// fetching all records
await clusterModel.get('*')
// Or using an object
await clusterModel.get({ text: "test3" })
async Model.update(< identifier>, < data>) - updating a record
updating using a model, if the identifier results to more than 1 record, all results will be updated
await clusterModel.update({ text: "test" }, { text: "test3" })
Or updating using a schema, will only update the specific record
await clust.update({ text: "test3" })
async Model.delete(< identifier>, < data>) - deleting a record
deleting using a model, if the identifier results to more than 1 record, all results will be deleted
await clusterModel.delete({ text: "test" })
Or deleting using a schema, will only delete the specific record
await clust.delete({ text: "test3" })