fragment-python 0.2.0

Python SDK for https://fragment.dev/

fragment-python

Fragment is the Ledger API for engineers that move money. Stop wrangling payment tables, debugging balance errors, and hacking together data pipelines. Start shipping the features that make a difference.

Installation

Using pip:

pip install fragment-python

Using poetry:

poetry add fragment-python

Usage

Get started by instantiating a Client from fragment.sdk.client. You can generate credentials using the Fragment dashboard

from fragment.sdk.client import Client

graphql_client = Client(
    client_id="<client id from the dashboard>",
    client_secret="<client secret from the dashboard>",
    api_url="<api url from the dashboard>",
    auth_url="<auth url from the dashboard>",
    auth_scope="<auth scope from the dashboard>",
  )

async def print_schema():
  get_schema_result = await graphql_client.get_schema("<Your schema key here>")
  print(get_schema_result.schema_.json())

import asyncio
loop = asyncio.get_event_loop()
loop.run_until_complete(print_schema())

Read the Using custom queries section to learn how to use your own GraphQL queries with the SDK.

Using a synchronous client

If you prefer using a synchronous client instead of an async one, then:

from fragment.sync_sdk.client import Client

graphql_client = Client(
    client_id="<client id from the dashboard>",
    client_secret="<client secret from the dashboard>",
    api_url="<api url from the dashboard>",
    auth_url="<auth url from the dashboard>",
    auth_scope="<auth scope from the dashboard>",
  )

get_schema_result = graphql_client.get_schema("<Your schema key here>")
print(get_schema_result.schema_.json())

Examples

Post a Ledger Entry

To post a Ledger Entry defined in your Schema:

await graphql_client.add_ledger_entry(
  ik="some-ik",
  ledger_ik="your-ledger-ik",
  type="user_funds_account",
  posted="1968-01-01T16:45:00Z",
  parameters=dict(
    user_id="user-1",
    funding_amount="20000",
  )
)

Read a Ledger Account's Balance

To read a Ledger Account's balance:

from fragment.sdk.enums import CurrencyCode
from fragment.sdk.input_types import CurrencyMatchInput

await graphql_client.get_ledger_account_balance(
  ledger_ik="your-ledger-ik",
  path="liabilities/user:user-1/available",
  balance_currency=CurrencyMatchInput(code=CurrencyCode.USD),
)

Using custom queries

While the SDK comes with GraphQL queries out of the box, you may want to customize these queries for your product. In order to do that:

1. Define your custom GraphQL queries in a GraphQL file. For example, in queries/custom-queries.graphql:

query getSchemaName($key: SafeString!) {
  schema(schema: { key: $key }) {
    key
    name
  }
}

2. Run fragment-python-client-codegen to generate the GraphQL SDK client. GraphQL named queries are converted to snake_case to conform to Python's code conventions. Optionally, pass the --sync flag to generate a synchronous client instead of the default async GraphQL client.

fragment-python-client-codegen \
  --input-dir queries/ \
  --target-package-name=custom_queries_package \
  --output-dir=libs/fragment

3. Use the client from the generated package in your product! Apart from the custom query methods, this client is functionally identical to fragment.sdk.client.Client

from .libs.custom_queries_package.client import Client

graphql_client = Client(
    client_id="<client id from the dashboard>",
    client_secret="<client secret from the dashboard>",
    api_url="<api url from the dashboard>",
    auth_url="<auth url from the dashboard>",
    auth_scope="<auth scope from the dashboard>",
  )

async def print_schema_name():
  # Note that getSchemaName is converted to snake_case automatically
  response = await graphql_client.get_schema_name("<Your Schema Key>")
  print(response.schema_.key)

import asyncio
loop = asyncio.get_event_loop()
loop.run_until_complete(print_schema())