# Chargebee connector

Source: /docs/connectors/chargebee.md

Use this as an implementation starting point: adapt the worked example to the requested dataset and the source documentation. See [Custom API](/docs/connectors/custom-api) for the shared SDK pattern and document-upload workflow.

## What this connector is for [#what-this-connector-is-for]

Subscription billing platform for customers, plans, invoices, and renewals.

A connector owns access to the source. Separate syncs shape selected resources into tables for analysis and downstream transformations using the [Python SDK](/docs/reference/python/connectors-and-syncs).

## Data and tables you can pull [#data-and-tables-you-can-pull]

These are representative dataset families to consider, not a claim that the worked example implements every resource. Access, fields, and availability depend on the source account, product edition, and permissions. Use the [vendor reference](https://apidocs.chargebee.com/docs/api) to select concrete resources.

| Suggested table | One row represents |
| --- | --- |
| `customers` | a customer |
| `subscriptions` | a subscription |
| `invoices` | a invoice |
| `credit_notes` | a credit note |
| `transactions` | a transaction |
| `items` | a item |

### Relationships and extraction considerations [#relationships-and-extraction-considerations]

Choose stable object IDs and preserve references between related resources. Nested arrays may need child tables. The listed names are proposed output datasets; validate the actual endpoint, fields, permissions, and pagination before adding each sync.

## Connecting to Chargebee [#connecting-to-chargebee]

Uses HTTP Basic authentication with the site API key as username and an empty password. Reads the customers resource.

Additional resources may require additional scopes. Connection settings belong to the connector; dataset filters and resource selection belong to each sync. See the [CLI workflow](/docs/reference/cli/overview) for registration and configuration.

### Connection settings used by the example [#connection-settings-used-by-the-example]

| Setting | Requirement | Purpose |
| --- | --- | --- |
| `site` | Required | Site |
| `api_key` | Required; secret | API Key |

### requirements.in [#requirementsin]

Save these dependencies in `requirements.in` alongside `connector.py`; the example includes packages used by its sync. Install the published `vortexify` package for local development. Keep sync-specific dependencies in the sync's own `requirements.in` when splitting the implementation into separate resources.

```text
vortexify==0.1.1
httpx>=0.27,<1
pandas>=2,<3
```

No separately installed database driver is needed by this HTTP example.

## Worked example: sync `customers` [#worked-example-sync-customers]

**customers** — Full read using the API's native pagination.

The complete files below implement only this example resource. They illustrate the current SDK signatures, a separate preview, bounded DataFrame output, and source-specific extraction. They do not establish complete source coverage. Live credentials and platform ingestion have not been used to validate this guide.

With default paths, place the connector files in `connectors/chargebee/` and sync files in `connectors/chargebee/syncs/customers/`. Use your project configuration if it specifies different paths.

### Connection schema: `config.json` [#connection-schema-configjson]

This file contains a JSON Schema, not actual credential values. Provide those through platform configuration.

```json
{
  "type": "object",
  "properties": {
    "site": {
      "type": "string",
      "minLength": 1,
      "title": "Site",
      "order": 0
    },
    "api_key": {
      "type": "string",
      "title": "API Key",
      "minLength": 1,
      "x-vortexify-secret": true,
      "order": 1
    }
  },
  "required": [
    "site",
    "api_key"
  ]
}
```

### Connector: `connector.py` [#connector-connectorpy]

```python
import httpx
from vortexify import Column, Connector, DiscoveredTable


class ChargebeeConnector(Connector):
    vendor_domain = "chargebee.com"

    def client(self):
        if self._client is None or self._client.is_closed:
            self._client = httpx.Client(
                base_url="https://" + self.config["site"] + ".chargebee.com/api/v2/",
                headers={"Accept": "application/json"},
                auth=(self.config["api_key"], ""),
                timeout=60,
                follow_redirects=False,
            )
        return self._client

    def check(self) -> bool:
        cfg = self.config
        page_size = 1
        path = "customers"
        params = {"limit": page_size}
        response = self.client().get(path, params=params)
        response.raise_for_status()
        payload = response.json()
        return True

    def discover(self) -> list[DiscoveredTable]:
        return [
            DiscoveredTable(
                name="customers",
                schema=[
                    Column(name="id", type="string"),
                    Column(name="email", type="string"),
                    Column(name="company", type="string"),
                    Column(name="updated_at", type="integer"),
                    Column(name="document", type="string"),
                ],
            )
        ]

    def close(self) -> None:
        if self._client is not None:
            try:
                self._client.close()
            finally:
                self._client = None
```

### Sync schema: `syncs/customers/config.json` [#sync-schema-syncscustomersconfigjson]

```json
{
  "type": "object",
  "properties": {},
  "required": []
}
```

### Sync: `syncs/customers/sync.py` [#sync-syncscustomerssyncpy]

```python
from collections.abc import Iterator
from math import isfinite
import json
import pandas as pd
from vortexify import Sync


class ChargebeeCustomersSync(Sync):

    def preview(self) -> pd.DataFrame:
        cfg = self.connector.config
        page_size = 100
        path = "customers"
        params = {"limit": page_size}
        response = self.client.get(path, params=params)
        response.raise_for_status()
        payload = response.json()
        records = [item["customer"] for item in payload["list"]]
        if not isinstance(records, list) or any(
            (not isinstance(record, dict) for record in records)
        ):
            raise ValueError(
                "Unexpected API record shape; refusing a partial successful sync"
            )
        records = records[:100]
        rows = []
        for record in records:
            row = {
                "id": record.get("id"),
                "email": record.get("email"),
                "company": record.get("company"),
                "updated_at": record.get("updated_at"),
                "document": json.dumps(record, ensure_ascii=False, default=str),
            }
            rows.append(
                {
                    key: (
                        json.dumps(value, ensure_ascii=False, default=str)
                        if isinstance(value, (dict, list))
                        else value
                    )
                    for key, value in row.items()
                }
            )
        return pd.DataFrame(
            rows,
            columns=["id", "email", "company", "updated_at", "document"],
            dtype=object,
        )

    def extract(
        self, *, avg_row_size_bytes: float | None = None
    ) -> Iterator[pd.DataFrame]:
        memory_mib = self.compute.memory if self.compute else None
        memory_mib = memory_mib if memory_mib is not None and memory_mib > 0 else 1024
        target_bytes = min(16 * 1024 * 1024, max(1, memory_mib * 1024 * 1024 // 20))
        batch_size = 100
        if avg_row_size_bytes is not None:
            if not isfinite(avg_row_size_bytes) or avg_row_size_bytes <= 0:
                raise ValueError("avg_row_size_bytes must be finite and positive")
            batch_size = max(1, int(target_bytes / max(1.0, avg_row_size_bytes) / 4))
        batch_size = min(batch_size, 100)
        cfg = self.connector.config
        page_size = batch_size
        path = "customers"
        params = {"limit": page_size}
        seen_pages = set()
        while True:
            response = self.client.get(path, params=params)
            response.raise_for_status()
            payload = response.json()
            records = [item["customer"] for item in payload["list"]]
            if not isinstance(records, list) or any(
                (not isinstance(record, dict) for record in records)
            ):
                raise ValueError(
                    "Unexpected API record shape; refusing a partial successful sync"
                )
            rows = []
            for record in records:
                row = {
                    "id": record.get("id"),
                    "email": record.get("email"),
                    "company": record.get("company"),
                    "updated_at": record.get("updated_at"),
                    "document": json.dumps(record, ensure_ascii=False, default=str),
                }
                rows.append(
                    {
                        key: (
                            json.dumps(value, ensure_ascii=False, default=str)
                            if isinstance(value, (dict, list))
                            else value
                        )
                        for key, value in row.items()
                    }
                )
            for start in range(0, len(rows), batch_size):
                yield pd.DataFrame(
                    rows[start : start + batch_size],
                    columns=["id", "email", "company", "updated_at", "document"],
                    dtype=object,
                )
            next_token = payload.get("next_offset")
            if not next_token:
                break
            marker = json.dumps(next_token, sort_keys=True)
            if marker in seen_pages:
                raise ValueError("API repeated a pagination token")
            seen_pages.add(marker)
            params["offset"] = next_token
```

### Running and extending the example [#running-and-extending-the-example]

Register the connector before the sync and commit each resource separately:

```sh
vortexify create connector chargebee
vortexify create sync chargebee/customers
```

Edit the files, inspect `vortexify status`, and use the [CLI guide](/docs/reference/cli/overview) to commit and configure them. Registration alone does not run extraction or deploy the connector.

Preview must run with a fresh connector and disposable state. The extraction implementation determines full/incremental behavior; merely setting a mode does not implement change capture. API/driver failures propagate unless explicitly handled in the code. Check source limits and single-record/response sizes as well as output batch size.

## Sources and further reading [#sources-and-further-reading]

- [Vendor API and data reference](https://apidocs.chargebee.com/docs/api) — Resource definitions, authentication, fields, and source-specific limits. Check the selected resource's reference when extending the example.
- [Vortexify connector and sync contracts](/docs/reference/python/connectors-and-syncs) — Client ownership, discovery, preview isolation, and DataFrame extraction.
- [Vortexify CLI workflow](/docs/reference/cli/overview) — Project paths, resource registration, source commits, and credential configuration.
