reportportal-client 5.3.3

Python client for Report Portal v5.

ReportPortal python client

Library used only for implementors of custom listeners for ReportPortal

Already implemented listeners:

• PyTest Framework
• Robot Framework
• Behave Framework
• Nose Framework (archived)

Installation

The latest stable version is available on PyPI:

pip install reportportal-client

Usage

Basic usage example:

import os
import subprocess
from mimetypes import guess_type

from reportportal_client import RPClient
from reportportal_client.helpers import timestamp

endpoint = "http://docker.local:8080"
project = "default"
# You can get UUID from user profile page in the Report Portal.
token = "1adf271d-505f-44a8-ad71-0afbdf8c83bd"
launch_name = "Test launch"
launch_doc = "Testing logging with attachment."


client = RPClient(endpoint=endpoint, project=project,
                  token=token)

# Start log upload thread
client.start()

# Start launch.
launch = client.start_launch(name=launch_name,
                             start_time=timestamp(),
                             description=launch_doc)

item_id = client.start_test_item(name="Test Case",
                                 description="First Test Case",
                                 start_time=timestamp(),
                                 attributes=[{"key": "key", "value": "value"},
                                             {"value", "tag"}],
                                 item_type="STEP",
                                 parameters={"key1": "val1",
                                             "key2": "val2"})

# Create text log message with INFO level.
client.log(time=timestamp(),
           message="Hello World!",
           level="INFO")

# Create log message with attached text output and WARN level.
client.log(time=timestamp(),
           message="Too high memory usage!",
           level="WARN",
           attachment={
               "name": "free_memory.txt",
               "data": subprocess.check_output("free -h".split()),
               "mime": "text/plain"
           })

# Create log message with binary file, INFO level and custom mimetype.
image = "/tmp/image.png"
with open(image, "rb") as fh:
    attachment = {
        "name": os.path.basename(image),
        "data": fh.read(),
        "mime": guess_type(image)[0] or "application/octet-stream"
    }
    client.log(timestamp(), "Screen shot of issue.", "INFO", attachment)

client.finish_test_item(item_id=item_id, end_time=timestamp(), status="PASSED")

# Finish launch.
client.finish_launch(end_time=timestamp())

# Due to async nature of the service we need to call terminate() method which
# ensures all pending requests to server are processed.
# Failure to call terminate() may result in lost data.
client.terminate()

Send attachment (screenshots)

The client uses requests library for working with RP and the same semantics to work with attachments (data).

To log an attachment you need to pass file content and metadata to ``

import logging

from reportportal_client import RPLogger, RPLogHandler

logging.setLoggerClass(RPLogger)
rp_logger = logging.getLogger(__name__)
rp_logger.setLevel(logging.DEBUG)
rp_logger.addHandler(RPLogHandler())

screenshot_file_path = 'path/to/file.png'

with open(screenshot_file_path, "rb") as image_file:
    file_data = image_file.read()

    # noinspection PyArgumentList
    rp_logger.info(
        "Some Text Here",
        attachment={"name": "test_name_screenshot.png",
                    "data": file_data,
                    "mime": "image/png"}
    )

Copyright Notice

Licensed under the Apache 2.0 license (see the LICENSE.txt file).