Create Run with PractiTest API on New Row Created from Coda API

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New Row Created from the Coda API

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Create Run with the PractiTest API

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Getting Started#

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

Select this integration
Configure the New Row Created trigger
1. Connect your Coda account
2. Configure timer
3. Select a Doc ID
4. Select a Table ID
5. Optional- Configure Include Updated Rows
Configure the Create Run action
1. Connect your PractiTest account
2. Select a Project
3. Select a Instance
4. Optional- Configure Exit Code
5. Optional- Configure Run Duration
6. Optional- Configure Automated Execution Output
7. Optional- Configure Version
8. Optional- Configure Custom Fields
9. Optional- Configure Steps
10. Optional- Configure Files
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#

New Row Created on Coda

Description:Emit new event for every created / updated row in a table. [See the documentation.](https://coda.io/developers/apis/v1#tag/Rows/operation/listRows)

Version:0.0.4

Key:coda-row-created

View on GitHub

Coda Overview#

The Coda API enables you to interact with your Coda docs for both data retrieval and manipulation. By leveraging this API on Pipedream, you can automate document updates, synchronize data across different platforms, orchestrate complex workflows, and react to changes in real-time. Coda’s tables can act as dynamic databases that interconnect with various services, allowing you to streamline operations that depend on the timely and accurate exchange of information.

Trigger Code#

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

export default {
  key: "coda-row-created",
  name: "New Row Created",
  description: "Emit new event for every created / updated row in a table. [See the documentation.](https://coda.io/developers/apis/v1#tag/Rows/operation/listRows)",
  type: "source",
  version: "0.0.4",
  dedupe: "unique",
  props: {
    coda,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    docId: {
      propDefinition: [
        coda,
        "docId",
      ],
    },
    tableId: {
      propDefinition: [
        coda,
        "tableId",
        (c) => ({
          docId: c.docId,
        }),
      ],
    },
    includeUpdates: {
      type: "boolean",
      label: "Include Updated Rows",
      description: "Emit events for updates on existing rows?",
      optional: true,
    },
  },
  hooks: {
    async deploy() {
      const rows = await this.fetchRows(25);
      this.emitEvents(rows.reverse());
    },
  },
  methods: {
    _getLastTs() {
      return this.db.get("lastTs") || 0;
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    getTsKey() {
      return this.includeUpdates
        ? "updatedAt"
        : "createdAt";
    },
    async fetchRows(maxResults) {
      const rows = [];
      const tsKey = this.getTsKey();
      const lastTs = this._getLastTs();
      let maxTs = lastTs;
      let done = false;

      const params = {
        sortBy: tsKey,
      };

      while (true) {
        const {
          items = [],
          nextPageToken,
        } = await this.coda.findRow(
          null,
          this.docId,
          this.tableId,
          params,
        );
        for (const item of items) {
          const ts = Date.parse(item[tsKey]);
          if (ts > lastTs) {
            rows.push(item);
            if (ts > maxTs) {
              maxTs = ts;
            }
            if (rows.length >= maxResults) {
              done = true;
              break;
            }
          }
          else {
            done = true;
          }
        }
        params.pageToken = nextPageToken;

        if (!nextPageToken || done) {
          this._setLastTs(maxTs);
          return rows;
        }
      }
    },
    rowSummary(row) {
      const name = row.name && ` - ${row.name}` || "";
      return `Row index: ${row.index}` + name;
    },
    emitEvents(events) {
      for (const row of events) {
        const id = this.includeUpdates
          ? `${row.id}-${row.updatedAt}`
          : row.id;

        this.$emit(row, {
          id,
          summary: this.rowSummary(row),
          ts: row.updatedAt,
        });
      }
    },
  },
  async run() {
    const rows = await this.fetchRows();
    this.emitEvents(rows.reverse());
  },
};

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
Coda	`coda`	`app`	This component uses the Coda app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Doc ID	`docId`	`string`	Select a value from the drop down menu.
Table ID	`tableId`	`string`	Select a value from the drop down menu.
Include Updated Rows	`includeUpdates`	`boolean`	Emit events for updates on existing rows?

Trigger Authentication#

Coda uses API keys for authentication. When you connect your Coda account, Pipedream securely stores the keys so you can easily authenticate to Coda APIs in both code and no-code steps.

About Coda#

Coda is familiar like a doc and engaging like an app, so your team can jump in quickly, collaborate effectively, and make decisions that stick.

Action#

Create Run on PractiTest

Description:Create a run [See docs here](https://www.practitest.com/api-v2/#create-a-run-automated-test)

Version:0.0.1

Key:practitest-create-run

View on GitHub

PractiTest Overview#

PractiTest is a test management tool that facilitates the organization, tracking, and planning of software testing processes by integrating with Pipedream's automation capabilities. With the PractiTest API, you're able to manipulate test cases, sets, runs, and report on results programmatically. This powerful combination opens the door to automated workflows that enhance testing processes, improve bug tracking, and provide real-time feedback to your team.

Action Code#

import practitest from "../../app/practitest.app.mjs";
import { defineAction } from "@pipedream/types";
import { ConfigurationError } from "@pipedream/platform";
import { DOCS } from "../../common/constants.mjs";
export default defineAction({
    name: "Create Run",
    description: `Create a run [See docs here](${DOCS.createRun})`,
    key: "practitest-create-run",
    version: "0.0.1",
    type: "action",
    props: {
        practitest,
        projectId: {
            propDefinition: [
                practitest,
                "project",
            ],
        },
        instanceId: {
            propDefinition: [
                practitest,
                "instance",
                (c) => ({
                    projectId: c.projectId,
                }),
            ],
        },
        exitCode: {
            type: "integer",
            label: "Exit Code",
            description: "0 for passed, otherwise failed",
            optional: true,
        },
        runDuration: {
            type: "string",
            label: "Run Duration",
            description: "(HH:MM:SS), to update the run duration of a specific instance	",
            optional: true,
        },
        automatedExecutionOutput: {
            type: "string",
            label: "Automated Execution Output",
            description: "Text output string that will be shown in 'Execution output' field (up to 255 characters)",
            optional: true,
        },
        version: {
            propDefinition: [
                practitest,
                "version",
            ],
            description: "String of the run version",
        },
        customFields: {
            propDefinition: [
                practitest,
                "customFields",
            ],
        },
        steps: {
            type: "string[]",
            label: "Steps",
            description: `An array of JSON-stringified steps objects. [See the docs for a detailed description and examples.](${DOCS.createRun})`,
            optional: true,
        },
        files: {
            type: "string[]",
            label: "Files",
            description: `An array of JSON-stringified file objects. The files' content should be encoded as base64. [See the docs for a detailed description and examples.](${DOCS.createRun})`,
            optional: true,
        },
    },
    async run({ $ }) {
        const { projectId, instanceId, exitCode, runDuration, automatedExecutionOutput, version, customFields, } = this;
        // parse steps and files as json strings
        const params = {
            $,
            projectId,
            attributes: {
                "instance-id": instanceId,
                "exit-code": exitCode,
                "run-duration": runDuration,
                "automated-execution-output": automatedExecutionOutput,
                version,
                "custom-fields": customFields,
            },
        };
        [
            "steps",
            "files",
        ].forEach((prop) => {
            const value = this[prop];
            if (value) {
                try {
                    params[prop] = {
                        data: value.map((str) => JSON.parse(str)),
                    };
                }
                catch (err) {
                    throw new ConfigurationError(`**JSON parse error** - check if the \`${prop}\` prop is a valid JSON-stringified object`);
                }
            }
        });
        const response = await this.practitest.createRun(params);
        $.export("$summary", `Successfully created run (id ${response.data.id})`);
        return response;
    },
});

Action Configuration#

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

Label	Prop	Type	Description
PractiTest	`practitest`	`app`	This component uses the PractiTest app.
Project	`projectId`	`string`	Select a value from the drop down menu.
Instance	`instanceId`	`string`	Select a value from the drop down menu.
Exit Code	`exitCode`	`integer`	0 for passed, otherwise failed
Run Duration	`runDuration`	`string`	(HH:MM:SS), to update the run duration of a specific instance
Automated Execution Output	`automatedExecutionOutput`	`string`	Text output string that will be shown in 'Execution output' field (up to 255 characters)
Version	`version`	`string`	String of the run version
Custom Fields	`customFields`	`object`	A hash of custom-fields with their value
Steps	`steps`	`string[]`	An array of JSON-stringified steps objects. See the docs for a detailed description and examples.
Files	`files`	`string[]`	An array of JSON-stringified file objects. The files' content should be encoded as base64. See the docs for a detailed description and examples.