Run Python Code with Python API on Watch Folder from pCloud API

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Watch Folder from the pCloud API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a pCloud trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Watch Folder trigger
1. Connect your pCloud account
2. Configure Polling schedule
3. Select a Folder ID
4. Select a Folder Event
5. Optional- Configure Show Deleted?
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

Watch Folder on pCloud

Description:Emit new event when a file is created or modified in the specified folder.

Version:0.0.4

Key:pcloud-watch-folder

View on GitHub

pCloud Overview#

The pCloud API allows for direct interaction with your pCloud account, providing access to files and folders within your cloud storage. With Pipedream, you can automate file management tasks such as uploading, downloading, and synchronizing files. Additionally, you can create workflows to organize your cloud storage, share files with team members, or back up important data from various sources.

Trigger Code#

import pcloud from "../../pcloud.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "pcloud-watch-folder",
  name: "Watch Folder",
  description: "Emit new event when a file is created or modified in the specified folder.",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  props: {
    pcloud,
    db: "$.service.db",
    timer: {
      label: "Polling schedule",
      description: "Pipedream polls pCloud for events on this schedule.",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    folderId: {
      propDefinition: [
        pcloud,
        "folderId",
      ],
      description: "Select a **Folder** to watch for changes. Alternatively, you can provide a custom *Folder ID*.",
    },
    event: {
      type: "string",
      label: "Folder Event",
      options: [
        "Created",
        "Modified",
      ],
      description: "Specify when to emit an event related to a given folder.",
      default: "Created",
    },
    showDeleted: {
      propDefinition: [
        pcloud,
        "showDeleted",
      ],
    },
  },
  hooks: {
    async deploy() {
      const files = [];
      const { contents } = await this.getContents();
      if (!contents) {
        return;
      }
      for (const folderItem of contents) {
        if (this.isRelevant(folderItem)) {
          files.push(folderItem);
          if (files.length == 10) {
            break;
          }
        }
      }
      files.forEach(this.emitpCloudEvent);
      this._setPreviousFiles(contents);
    },
  },
  methods: {
    _getPreviousFiles() {
      return this.db.get("previousFiles");
    },
    _setPreviousFiles(files) {
      const key = this.getFileKey();
      const previousFiles = files.filter((file) => file[key]).map((file) => ({
        [file[key]]: true,
      }));
      this.db.set("previousFiles", previousFiles);
    },
    getFileKey() {
      return this.event === "Created"
        ? "fileid"
        : "hash";
    },
    async getContents() {
      return this.pcloud._withRetries(() =>
        this.pcloud.listContents(
          this.folderId,
          false,
          this.showDeleted,
          false,
          false,
        ));
    },
    emitpCloudEvent(pCloudEvent) {
      const metadata = this.getEventData(pCloudEvent);
      this.$emit(pCloudEvent, metadata);
    },
    getEventData(pcloudEvent) {
      const key = this.getFileKey();
      return {
        id: pcloudEvent[key],
        summary: `${this.event} file "${pcloudEvent.name}"`,
        ts: Date.now(),
      };
    },
    isRelevant(folderItem, previousFiles = []) {
      const key = this.getFileKey();
      return !folderItem.isFolder && !previousFiles[folderItem[key]];
    },
  },
  async run() {
    const previousFiles = this._getPreviousFiles();
    const files = [];
    const { contents } = await this.getContents();
    if (!contents) {
      console.log("No data available, skipping iteration");
      return;
    }
    for (const folderItem of contents) {
      if (this.isRelevant(folderItem, previousFiles)) {
        files.push(folderItem);
      }
    }
    files.forEach(this.emitpCloudEvent);
    this._setPreviousFiles(contents);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
pCloud	`pcloud`	`app`	This component uses the pCloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	Pipedream polls pCloud for events on this schedule.
Folder ID	`folderId`	`integer`	Select a value from the drop down menu.
Folder Event	`event`	`string`	Select a value from the drop down menu:`CreatedModified`
Show Deleted?	`showDeleted`	`boolean`	If true, deleted files and folders that can be undeleted will be displayed.

Trigger Authentication#

pCloud uses OAuth authentication. When you connect your pCloud account, Pipedream will open a popup window where you can sign into pCloud and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any pCloud API.

Pipedream requests the following authorization scopes when you connect your account:

About pCloud#

Secure encrypted cloud storage

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};