Actor Testing

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