mentorhub-utils 1.0.1

Helper utilities for Mentorhub API projects

mentorHub-utils

PyPi install

pipenv install mentorhub-utils

Overview

These utilities support the mentorHub platform.

Table of Contents

• Flask Utilities
• Config Utilities
• Mongo Utilities
• Contributing

Flask Utilities

This is a collection of simple Flask utilities:

• MongoJSONEncoder converts ObjectID and datetime values to strings
• create_token() builds a Roles Based Access Control (RBAC) token
• create_breadcrumb(token) builds the breadcrumb used when updating the database

Usage

MongoJSONEncoder

This is a helper class that allows the flask.json method to properly handle ObjectID and datetime values by converting them to strings.

from flask import Flask
from mentorhub_flask_utils import MongoJSONEncoder

# Initialize Flask App
app = Flask(__name__)
app.json = MongoJSONEncoder(app)

# In flask request handler
from flask import jsonify
print jsonify(dict)

Tokens

All API's will be secured with industry standard bearer tokens used to implement Role Based Access Control (RBAC). The create_token method will decode the token and extract claims for a user_id and roles, throwing an exception if the token is not found or not properly encoded.

{
    "user_id": "The users PersonID",
    "roles": ["Staff", "Mentor", "Member"]
}

Valid roles are listed in the mentorhub-mongodb repo's enumerators file but the roles listed above are the only one's currently used in the mentorHub platform.

Breadcrumbs

All database collections include a lastModified "breadcrumb" property used to track changes over time. The breadcrumb has the following properties:

{
        "atTime": "date-time the document was last modified",
        "byUser": "UserID claim from the access token",
        "fromIp": "IP Address the request originated at",  
        "correlationId": "A correlationID to use in logging"
}

Example

Here is how these methods are used in a Flask Route Handler

from mentorhub_flask_utils import create_breadcrumb, create_token
token = create_token()
breadcrumb = create_breadcrumb(token)
MyService.doSomething(myData, ..., token, breadcrumb)
logger.info(f"Did Something completed successfully {breadcrumb.correlationId}")

Config Utilities

This is collection of utilities to support API Configuration in a standard way

• Mentorhub_Config handles configuration values
• config_routes() is a Flask request handler

Usage

Standard Config

Config

Standard mental hub configuration values. Configurations are managed in a consistent way favoring file based configuration values, then environment, configuration values, and then default values. See the Mentorhub_Config.py for details on the configuration values.

config = Mentorhub_Config.get_instance()
print config.LOGGING_LEVEL

config_routes()

This is a simple flask request handler to be used to expose the config data on a config endpoint.

from flask import Flask
app = Flask(__name__)
config_handler = create_config_routes()
app.register_blueprint(config_handler, url_prefix='/api/config')

Mongo Utilities

Simple wrappers for MongoIO and a Config Initializer.

• get_instance()
• initialize()
• configure(enumerators_key)
• disconnect
• get_documents
• get_document
• create_document
• update_document
• delete_document

Usage

get_instance()

Get a reference to the Singleton object

mongo_io = MentorHubMongoIO.get_instance()

configure(enumerators_key)

This method will initialize the MongoIO singleton object, connect to the database, and update the Config.versions and Config.enumerators values. You should call this function when initializing the mongodb connection. This method takes as a parameter the primary collection name used to load enumerators.

mongo_io = Mentorhub_MongoIO.get_instance()
mongo_io.configure(config.MAIN_COLLECTION_NAME)

disconnect()

This Method will disconnect from the database in a graceful way. You should call this method when the server process is ending.

mongo_io = MentorHubMongoIO.get_instance()
mongo_io.disconnect()

get_documents(collection_name, match, project, order)

This is a convenience method to get a list of documents based on Mongo Match, project, and sort order parameters.

match = {"name": {"$regex": query}}
order = [('name', ASCENDING)]
project = {"_id":1,"name":1}
documents = mentorhub_mongoIO.get_documents("COLLECTION_NAME", match, project, order)

get_document(collection_name, string_id)

This is a convenience method to get a single document based on ID

document = mentorhub_mongoIO.get_document("COLLECTION_NAME", "_ID String")

create_document(collection_name, document)

This is a convenient method for creating a single document

document = {"foo":"bar"}
created = mentorhub_mongoIO.create_document("COLLECTION_NAME", document)

update_document(collection_name, _id, updates)

This is a convenience method for updating a single document based on ID

id = "24-byte-id"
patch = {"foo":"bar"}
updated = mentorhub_mongoIO.update_document("COLLECTION_NAME", id, patch)

delete_document(collection_name, string_id)

This is a convenience method for deleting a document based on ID. This is an actual live delete, not a soft delete.

id = "24-byte-id"
updated = mentorhub_mongoIO.delete_document("COLLECTION_NAME", id)

Contributing

If you want to contribute to this library, here are the instructions.

Prerequisites

• Python
• Pipenv

Install Dependencies

pipenv install --dev

Run unit testing

pipenv run unit

Test setup.py package

pipenv run test

Clean package build path

pipenv run clean

Build the Package

pipenv run build

Twine check

To check if the package is ready to publish

pipenv run check

Publish the Package

You should successfully run clean, build and check before publishing.

pipenv run publish

NOTE: You will be prompted for PyPi authentication credentials. You should not need to use the command, it is used by the GitHub Actions CI.