cannlytics 0.0.3

Cannlytics provides a user-friendly interface to quickly receive samples, perform analyses, collect and review results, and publish certificates of analysis (CoAs). There are also built in logistics, CRM (client relationship management), inventory management, and invoicing tools.

Cannlytics Engine

Cannlytics provides a user-friendly interface to quickly receive samples, perform analyses, collect and review results, and publish certificates of analysis (CoAs). There are also built in logistics, CRM (client relationship management), inventory management, and invoicing tools. The Cannlytics engine comes with batteries included, but you are always welcome to supercharge your setup with modifications and custom components.

Installation

You can install the Cannlytics engine from PyPI.

pip install cannlytics

Firebase Usage

Cannlytics utilizes Firebase for back-end services. Firebase is initialized with firebase.initialize_firebase, which returns a Firestore database instance. A generic example of using the cannlytics package is as follows.

from cannlytics import firebase

# TODO: Set the path to your Firebase service account.
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = ""

# Initialize Firebase
database = firebase.initialize_firebase()

# Get a document.
lab = firebase.get_document("labs/cannlytics")

You will need to provide credentials for your application by setting the GOOGLE_APPLICATION_CREDENTIALS environment variable. Set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the file path of the JSON file that contains your service account key. This variable only applies to your current shell session, so if you open a new session, set the variable again.

Data

The Firestore functions utilize create_reference to turn a path into a document or collection reference, depending on the length of the path. Odd length paths refer to collections and even length paths refer to documents. For example, users is a collection of users, users/{uid} is a user's document, and users/{uid}/logs is a sub-collection of logs for the user. With this functionality, you can easily get documents as follows.

# Get all user documents.
users = firebase.get_collection("users")

# Get a document.
user = firebase.get_document("users/xyz")

And create or update documents as follows.

from datetime import datetime

# Create a user log.
timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
firebase.update_document(f"users/xyz/logs/{timestamp}", {
  "activity": "Something happened",
  "created_at": timestamp,
  "updated_at": timestamp
})

# Update the user.
firebase.update_document(f"users/xyz", {
  "recent_activity": timestamp,
})

If you need to work with arrays or simply increment a value, then there are utility functions for you.

# Add an element to an array in a document.
firebase.add_to_array("tests/firebase_test", "likes", "Testing")
data = firebase.get_document("tests/firebase_test")

# Remove an element from an array in a document.
firebase.remove_from_array("tests/firebase_test", "likes", "Sandals")
data = firebase.get_document("tests/firebase_test")

# Increment a value in a document.
firebase.increment_value("tests/firebase_test", "runs")
data = firebase.get_document("tests/firebase_test")

You query a collection of documents.

# Get a collection.
limit = 1000
order_by = "time"
filters = [{"key": "test", "operation": "==", "value": "firebase_test"}]
docs = firebase.get_collection("tests", limit=limit, order_by=order_by, filters=filters)

Finally, you can import and export data.

# Import .csv data to Firestore.
ref = "tests/test_collections/licensees"
data_file = "./assets/data/licensees_partial.csv"
firebase.import_data(db, ref, data_file)

# Export data to .csv from Firestore.
output_csv_file = "./assets/data/licensees_test.csv"
output_xlsx_file = "./assets/data/licensees_test.xlsx"
firebase.export_data(db, ref, output_csv_file)

File Storage

You can upload files to storage.

# Upload a file to a Firebase Storage bucket.
firebase.upload_file(bucket_name, destination_blob_name, source_file_name)

# Upload all files in a folder to a Firebase Storage bucket.
firebase.upload_files(bucket_name, bucket_folder, local_folder)

You can then list files in a given bucket's folder.

# List all files in the Firebase Storage bucket folder.
files = firebase.list_files(bucket_name, bucket_folder)

You can download files.

# Download a file from Firebase Storage.
firebase.download_file(bucket_name, destination_blob_name, download_file_name)

# Download all files in a given Firebase Storage folder.
firebase.download_files(bucket_name, bucket_folder, download_folder)

Finally, you can rename and delete files if needed.

# Rename a file in the Firebase Storage bucket.
firebase.rename_file(bucket_name, bucket_folder, file_name, newfile_name)

# Delete a file from the Firebase Storage bucket.
firebase.delete_file(bucket_name, bucket_folder, file_copy)

Authentication

First, you can create a user.

name = "CannBot"
email = "[e-mail]"
user, password = firebase.create_account(name, email, notification=True)

You can add custom claims for a user to control granular permissions.

# Create and get custom claims.
claims = {"organizations": ["Cannlytics"]}
firebase.create_custom_claims(user.uid, email=email, claims=claims)
custom_claims = firebase.get_custom_claims(email)

You can get a user token to authenticate in your client-side code.

# Create custom token.
token = firebase.create_custom_token(user.uid, email=None, claims=custom_claims)

You can get a user or users.

# Get user.
user = firebase.get_user(email)

# Get all users.
all_users = firebase.get_users()

You can update a user's photo_url, display_name, email, phone_number, email_verified, and disabled fields. Pass a dictionary with the desired key/value pairs that you wish to change.

# Update user.
photo_url = f"https://robohash.org/{email}?set=set5"
user = firebase.update_user(user, {"photo_url": photo_url})

Utilities

Below is a table of other included utility functions.

Function	Parameters	Description
create_log	ref, claims, action, log_type, key, changes	Create an activity log, where ref (str) is the path to a collection of logs; claims (dict) is a dict with user fields or a Firestore user object; action (str) is the activity that took place; log_type (str) is the log type; key (str) is a key to recognize the action; changes (list) is an optional list of changes that took place.
get_keywords	name	Create a list of keywords for a given string.
snake_case	name	Turn a given string to snake case.

License

Made with 💖 by Cannlytics.

Except where otherwise noted, copyright © 2021 Cannlytics.

GNU General Public License