1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "testSpec": """({ it, xit, moment, _, run, expect, expectAsync, input, describe }) => {
10    (input.resource ? [
11        'beta',
12    ] : [
13        'latest',
14    ]).forEach((build) => {
15        describe(`${build} version`, () => {
16            it('test something-task', async () => {
17                const runResult = await run({
18                    taskId: '',
19                });
20
21                await expectAsync(runResult).toHaveStatus('SUCCEEDED');
22                await expectAsync(runResult).withLog((log) => {
23                    expect(log)
24                        .withContext(runResult.format('ReferenceError'))
25                        .not.toContain('ReferenceError');
26                    expect(log)
27                        .withContext(runResult.format('TypeError'))
28                        .not.toContain('TypeError');
29                });
30
31                await expectAsync(runResult).withStatistics((stats) => {
32                    expect(stats.requestsRetries)
33                        .withContext(runResult.format('Request retries'))
34                        .toBeLessThan(3);
35
36                    expect(stats.crawlerRuntimeMillis)
37                        .withContext(runResult.format('Run time'))
38                        .toBeWithinRange(0.1 * 60000, 10 * 60000);
39                });
40
41                await expectAsync(runResult).withDataset(({ dataset, info }) => {
42                    expect(info.cleanItemCount)
43                        .withContext(runResult.format('Dataset cleanItemCount'))
44                        .toBeGreaterThan(0);
45
46                    expect(dataset.items)
47                        .withContext(runResult.format('Dataset items array'))
48                        .toBeNonEmptyArray();
49                });
50            });
51        });
52    });
53}""",
54    "slackChannel": "#public-actors-tests-notifications",
55    "slackPrefix": "@lead-dev @actor-owner",
56}
57
58# Run the Actor and wait for it to finish
59run = client.actor("pocesar/actor-testing").call(run_input=run_input)
60
61# Fetch and print Actor results from the run's dataset (if there are any)
62print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
63for item in client.dataset(run["defaultDatasetId"]).iterate_items():
64    print(item)
65
66# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start