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A common platform connector for all the Fyle Integrations to interact with Fyle Platform APIs

Project description

Fyle Integrations Platform Connector

Installation and Usage

A common platform connector for all the Fyle Integrations to interact with Fyle's Platform APIs

pip install fyle-integrations-platform-connector

In Django settings.py
INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',

    # Installed Apps
    'rest_framework',
    'corsheaders',
    'fyle_rest_auth', # already existing reusable django app for authentication
    'fyle_accounting_mappings', # already existing mapping infra app,
    'fyle_integrations_platform_connector', # new platform connector

    # User Created Apps
    'apps.users',
    'apps.workspaces',
    'apps.mappings',
    'apps.fyle',
    'apps.quickbooks_online',
    'apps.tasks'
]
Usage
from fyle_integrations_platform_connector import PlatformConnector as PlatformIntegrationsConnector

connector = PlatformIntegrationsConnector(
    cluster_domain=cluster_domain,
    token_url=settings.FYLE_TOKEN_URI,
    client_id=settings.FYLE_CLIENT_ID, 
    client_secret=settings.FYLE_CLIENT_SECRET,
    refresh_token=refresh_token,
    workspace_id=workspace_id
)

# Get Expenses
expenses = connector.expenses.get(
    source_account_type=['PERSONAL_CASH_ACCOUNT', 'PERSONAL_CORPORATE_CREDIT_CARD_ACCOUNT'],
    state='PAID',
    last_synced_at='2021-08-22T00:00:000.000Z',
    filter_credit_expenses=True
)

# Import Fyle dimensions
connector.import_fyle_dimensions()

# Import specific Fyle dimensions
connector.employees.sync()
connector.projects.sync()

Local Development

Setup

Setup virtual environment and install dependencies -

python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt

Copy sample secrets file and add secret environment variables -

cp sample_secrets.sh secrets.sh
Run a raw python script (script.py)
bash run.sh
Open SQLITE db and check data
sqlite3 db.sqlite3

-- Example query
select attribute_type, count(*) from expense_attributes group by attribute_type;

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