Open Data Protocol (OData) is an industry-standard API implementation that provides a standard method for querying and updating data, allowing to access FileMaker data.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
claris_filemaker_server_odata_api: {
type: "app",
app: "claris_filemaker_server_odata_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.claris_filemaker_server_odata_api.$auth.api_url}/fmi/odata/v4/${this.claris_filemaker_server_odata_api.$auth.database_name}/$metadata`,
auth: {
username: `${this.claris_filemaker_server_odata_api.$auth.username}`,
password: `${this.claris_filemaker_server_odata_api.$auth.password}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}