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testland/testrail-integration

Syncs test runs / results / cases between an automated test suite and TestRail (Gurock / Idera) - opens a Test Run for the build (`add_run`), batches per-case results back via `add_results_for_cases` (preferred over per-test `add_result_for_case` - N+1 API calls vs 1), maps the test framework's pass/fail/skip to TestRail status IDs, and attaches build URL + version + elapsed time. Use when the team's test management is standalone TestRail (not a Jira app) and automated suites must update it without a human copy-paste step; when the TCM is instead a Jira app use xray-integration (Xray) or zephyr-integration (Zephyr Scale), and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.

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name:
testrail-integration
description:
Syncs test runs / results / cases between an automated test suite and TestRail (Gurock / Idera) - opens a Test Run for the build (`add_run`), batches per-case results back via `add_results_for_cases` (preferred over per-test `add_result_for_case` - N+1 API calls vs 1), maps the test framework's pass/fail/skip to TestRail status IDs, and attaches build URL + version + elapsed time. Use when the team's test management is standalone TestRail (not a Jira app) and automated suites must update it without a human copy-paste step; when the TCM is instead a Jira app use xray-integration (Xray) or zephyr-integration (Zephyr Scale), and for hosted cross-run flakiness analytics rather than TCM sync use currents-integration.

testrail-integration

Overview

Teams that use TestRail as the source of truth for test cases and runs need automation result sync - without it, automated runs don't update TestRail and the test-management view drifts from reality. This skill wires that sync.

The patterns below are the stable, long-documented TestRail API shapes; the canonical KB + API-reference URLs and the per-language client libraries are in References.

When to use

  • The team uses TestRail and runs both manual and automated tests; the automated results need to land in TestRail.
  • A CI pipeline must auto-create a Test Run + populate results so release management has the full picture.
  • The team manages test cases in TestRail and wants per-case mapping back to the automated test (via custom case ID labels in test names / annotations).

Step 1 - Authentication

TestRail uses HTTP Basic auth with email + API key (preferred over password - the API key is per-user, revocable):

# Generated in TestRail: My Settings → API Keys
TESTRAIL_API_KEY=<generated>
TESTRAIL_USER=test-runner@example.com
TESTRAIL_HOST=https://yourcompany.testrail.io

All requests use:

Authorization: Basic <base64(email:api_key)>
Content-Type: application/json

The base API URL is ${TESTRAIL_HOST}/index.php?/api/v2. Every endpoint is appended after ?/api/v2.

Step 2 - Map test names to TestRail case IDs

Two common patterns:

Pattern A - Embed case ID in test name

def test_C1234_can_add_to_cart():
    ...

A regex extracts C1234 (the TestRail case ID) at sync time.

Pattern B - Annotation / metadata

@Test
@TestRailCase(id = 1234)
void canAddToCart() { ... }

Or in JS:

test('can add to cart [C1234]', async () => {
  // ...
});

Pattern A is the lowest-friction; Pattern B is cleaner when the test framework supports custom annotations. Either way, the sync script needs a way to find the case ID from the test result.

Step 3 - Open a Test Run for the build

# scripts/testrail_sync.py
import base64, json, requests
from os import environ as env

API = f"{env['TESTRAIL_HOST']}/index.php?/api/v2"
AUTH = base64.b64encode(f"{env['TESTRAIL_USER']}:{env['TESTRAIL_API_KEY']}".encode()).decode()
HEADERS = {'Authorization': f'Basic {AUTH}', 'Content-Type': 'application/json'}

def open_run(project_id, suite_id, name, case_ids):
    r = requests.post(
        f'{API}/add_run/{project_id}',
        headers=HEADERS,
        json={
            'suite_id': suite_id,
            'name': name,
            'include_all': False,
            'case_ids': case_ids,
        },
    )
    r.raise_for_status()
    return r.json()['id']  # Run ID

include_all: False + case_ids: [...] opens a run scoped to the exact cases the automated suite covers. Without this, a 5,000-case project produces a 5,000-row Test Run with thousands of empty cells.

Step 4 - Batch results back

The well-known status ID convention for stock TestRail installations:

StatusID
Passed1
Blocked2
Untested3
Retest4
Failed5

Custom status IDs (added by the project admin) follow 6+. Read the get_statuses endpoint at sync-script init to confirm - don't hard-code.

Verify before batching: call get_statuses and assert every status_id in your map appears in the returned set. If one is missing (a renamed or custom status), fix the map and re-run rather than posting - TestRail accepts an unknown status_id and writes the result to the wrong status silently.

def add_results(run_id, results):
    """results = [{'case_id': 1234, 'status_id': 1, 'comment': '...', 'elapsed': '12s'}]"""
    r = requests.post(
        f'{API}/add_results_for_cases/{run_id}',
        headers=HEADERS,
        json={'results': results},
    )
    r.raise_for_status()
    return r.json()

Use add_results_for_cases (batch), not add_result_for_case (per-case). A 200-test run is one POST instead of 200 POSTs; TestRail's rate limit (180 req/min on shared cloud) makes per-case posting flaky.

Each result entry accepts case_id + status_id (both required), plus optional comment, elapsed, version, defects, and assignedto_id. The full per-result field list is in references/ci-and-fields.md.

Step 5 - Close the run

After all results are in:

def close_run(run_id):
    requests.post(f'{API}/close_run/{run_id}', headers=HEADERS)

Closed runs are read-only - no further results can be added. Useful for release-stamp runs; skip for runs that get re-run.

Step 6 - Operating in CI

Run the sync as an if: always() step after the test step so failed runs still update TestRail. The script parses junit.xml (junit-xml-analysis), extracts case IDs (Step 2), opens a run scoped to the covered cases (Step 3), batches results (Step 4), and optionally closes the run on main only (Step 5). Supply TESTRAIL_HOST / TESTRAIL_USER / TESTRAIL_API_KEY from CI secrets. The full GitHub Actions workflow, the per-result field list, and handling for tests that carry no case ID are in references/ci-and-fields.md.

Worked example

A Jest suite syncing one build to TestRail project 42, suite 7:

  1. Tests carry the case ID in the name (Step 2, Pattern A): test('can add to cart [C1234]', ...).
  2. Export credentials and run the suite to JUnit XML:
export TESTRAIL_HOST=https://acme.testrail.io
export TESTRAIL_USER=ci@acme.com
export TESTRAIL_API_KEY=...            # My Settings > API Keys
npm test -- --reporters=jest-junit
  1. The sync script opens a run scoped to the covered cases, then batches the results:
run_id = open_run(42, 7, "main · a1b2c3d", [1234])   # returns the Run ID
add_results(run_id, [
    {'case_id': 1234, 'status_id': 1, 'comment': 'green on CI', 'elapsed': '12s'},
])

Open the run in TestRail to see C1234 marked Passed with the 12s elapsed time. Close the run (Step 5) only when this is the main build.

Anti-patterns

Anti-patternWhy it failsFix
Per-test add_result_for_case callsN API calls; rate limit (180 req/min on Cloud) trips on suites >180 cases.add_results_for_cases batch (Step 4).
Hard-coded status IDs without get_statusesCustom statuses break the mapping; "Failed" goes to "Custom Status" silently.Fetch get_statuses at script init; build the map dynamically.
include_all: True on add_runThe run includes every case in the suite, most as Untested; runs become noise.include_all: False + explicit case_ids: [...].
Posting credentials as URL paramsSecrets leak in proxy logs.Always Basic auth header (Step 1).
No retry on 5xxTestRail Cloud has occasional 502s; one transient failure loses the whole run.Retry with exponential backoff on 5xx; cap at 3 attempts.
Closing every run, including PR runsClosed runs can't accept reruns; a PR retest after fixing flake fails to update.Close only main runs (Step 6); PR runs stay open.
Storing case IDs in test code AND in TestRailTwo sources of truth; renames drift.TestRail is canonical; test code references via ID only (Step 2 Pattern A).

Limitations

  • Test cases must already exist in TestRail. Pre-create cases manually or via add_case before the first sync; the sync script doesn't create cases on the fly.
  • Per-step results require a different endpoint. custom_step_results is per-installation; the project admin must enable a custom field for steps before the API accepts step-level data.
  • Rate limits. Cloud installations cap at 180 req/min per IP. Plan batching accordingly.
  • TestRail Cloud auth is per-user, not per-app. OAuth / SSO is not supported for API access; the API key is the only mechanism.
  • No first-party JUnit XML import. TestRail's own JUnit importer is a separate (deprecated) tool; the sync script approach in this skill is the modern path.

References

  • TestRail official documentation portal: https://support.testrail.com/hc/en-us/categories/7080117421716 (categorized KB; per-endpoint articles).
  • TestRail API Reference: https://support.testrail.com/hc/en-us/sections/7077986539540 (Results / Runs / Cases / Statuses endpoints).
  • Per-language client libraries: testrail (Python), testrail-java-client (Java), testrail-api (JS) - reference implementations of the API shapes above.
  • references/ci-and-fields.md - the full per-result field list, the end-to-end CI workflow, and untested-case handling.
  • junit-xml-analysis - upstream parser for the input the sync script consumes.
  • xray-integration, zephyr-integration - sibling Jira-native alternatives.
  • currents-integration - different role: test analytics over time, not test management.
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testland
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