Introduction:
📣 Calling all Rally Dev enthusiasts! Are you tired of struggling to extract valuable data about features, user stories, defects, and tasks from your Rally Dev workspace? Well, fret no more, because I’ve got you covered! As an engineer who once grappled with the same challenges, I’ve embarked on a journey to demystify the Rally Dev WSAPI (Web Services API) and bring you a comprehensive beginner’s guide. Join me as we unlock the secrets of Rally Dev WSAPI together, enabling you to effortlessly retrieve and leverage the information you need to supercharge your project management. Get ready to dive into the world of Rally Dev WSAPI and unlock a new level of productivity and efficiency. Let’s get started! 💪🚀
In this blog, we’ll explore the fundamentals of Rally Dev WSAPI, starting from obtaining your API Key to making authenticated requests. We’ll then delve into the specifics of extracting data about features, user stories, defects, and tasks. With a step-by-step approach and useful code snippets in Python, we’ll empower you to harness the full potential of the Rally Dev WSAPI. But wait, there’s more! We’ll also touch upon handling pagination, implementing error handling, and providing valuable resources to enhance your Rally Dev API journey further.
So, whether you’re a project manager seeking deeper insights or a developer craving seamless integration with your applications, this guide has got you covered. No prior knowledge of Rally Dev WSAPI is required. By the end of this blog, you’ll be equipped with the knowledge and tools to unlock the treasure trove of data within Rally Dev, transforming your project management experience forever.
Are you ready to embark on this thrilling adventure? Join me in uncovering the hidden gems of Rally Dev WSAPI and take control of your project’s success. Stay tuned for the upcoming chapters, where we’ll dive into the practical aspects of extracting features, user stories, defects, and tasks using Python.
Remember, knowledge is power, and together, we can revolutionize the way we work with Rally Dev. Let’s unlock the potential of Rally Dev WSAPI and elevate our project management to new heights. Stay tuned, and happy coding! ✨🎉
Here’s a starting guide on using Rally Dev WSAPI (Web Services API) to extract data about features, user stories, defects, and tasks.
- Obtain Rally API Key:
- Log in to your Rally Dev account.
- Go to the Rally API Keys page (https://rally1.rallydev.com/login/accounts/index.html#/keys).
- Generate a new API Key or use an existing one.
- Choose a Programming Language:
- Select a programming language that you’re comfortable with and has support for making HTTP requests. Examples include Python, JavaScript, Java, or C#.
- Set Up the API Client:
- Install any necessary libraries or packages for calling HTTP requests in your chosen programming language.
- Set up a client or module to handle HTTP requests. For example, in Python, you can use the
requests
library.
- Authenticate and Make Requests:
- Include the Rally API Key in the request headers for authentication. Add the following header to your requests:
ZSESSIONID: <API_KEY>
. - Specify the Rally WSAPI endpoint URL for the specific data you want to retrieve. For example, to fetch features, the URL could be:
https://rally1.rallydev.com/slm/webservice/v2.0/portfolioitem/feature
. - Make an HTTP GET request to the endpoint to retrieve the data.
- Include the Rally API Key in the request headers for authentication. Add the following header to your requests:
- Parse and Extract Data:
- Once you receive the API response, parse it based on the response format (usually JSON or XML).
- Extract the relevant information from the response, such as feature names, user story details, defect information, or task attributes.
- Store the extracted data in variables or a data structure for further processing or analysis.
- Handle Pagination (if applicable):
- Rally WSAPI often paginates the results when there are a large number of records.
- Check the API response for pagination information like
TotalResultCount
,StartIndex
, orPageSize
. - If the response indicates that there are more results, make subsequent requests with updated pagination parameters to retrieve the complete dataset.
- Implement Error Handling:
- Handle potential errors, such as network failures or API errors, by checking the response status codes and handling exceptions appropriately.
- Retry failed requests with appropriate back-off strategies if needed.
- Explore WSAPI Documentation:
- Refer to the Rally WSAPI documentation for more details on available endpoints, query parameters, and data structures.
- The Rally API documentation can be found at: https://help.rallydev.com/rally-application-manager.
Remember to respect the usage limits and guidelines provided by Rally Dev while accessing their API.
Here’s a sample Python code snippet to extract features using Rally Dev WSAPI:
import requests
#Set up Rally API Key and endpoint URL
api_key = "ALPHANUMERIC"
endpoint_url = "https://rally1.rallydev.com/slm/webservice/v2.0/portfolioitem/feature"
#Set up request headers
headers = {
"ZSESSIONID": api_key,
"Content-Type": "application/json"
}
#Make the API request to retrieve features
response = requests.get(endpoint_url, headers=headers)
#Check the response status code
if response.status_code == 200:
# Extract the features from the response JSON
data = response.json()
features = data["QueryResult"]["Results"]
# Print feature details
for feature in features:
feature_name = feature["Name"]
feature_description = feature["Description"]
# Extract any other relevant feature attributes
print("Feature Name:", feature_name)
print("Description:", feature_description)
print("--------------------------")
else:
print("Failed to retrieve features. Status code:", response.status_code)
Make sure to replace <YOUR_API_KEY>
with your actual Rally API Key. This code snippet sends an HTTP GET request to the Rally WSAPI endpoint for features and extracts the feature name and description from the response JSON. You can add additional attributes to extract based on your requirements.
Remember to install the requests
library in Python before running this code. You can install it using pip install requests
.
Please note that this is a basic example, and you may need to modify the code according to your specific needs and the structure of the Rally Dev WSAPI response.
I will also leave an extensive sample of codes that I used to extract _reference fields. Use it at your discretion.
#Sample 1
import requests
# Rally Dev API details
api_key = '_qcmjCTGMS7NPGnL9fpTBAsuWytEFkTamvDGWOuZuUU'
base_url = 'https://rally1.rallydev.com/slm/webservice/v2.0/'
# Set headers for the request
headers = {
'ZSESSIONID': api_key,
'Content-Type': 'application/json'
}
# Set the query parameters
query_params = {
'fetch': 'true',
'query': '(State = "Done")',
'pagesize': 200, # Adjust the page size as per your requirement
'start': 1
}
# Send the GET request to retrieve portfolio items
response = requests.get(base_url + 'portfolioitem', headers=headers, params=query_params)
if response.status_code == 200:
data = response.json()
# Process the downloaded portfolio items
for item in data['QueryResult']['Results']:
# Access the required data from each portfolio item
item_id = item['FormattedID']
item_name = item['Name']
# Do something with the portfolio item data
print(f"Portfolio Item ID: {item_id}, Name: {item_name}")
else:
print(f"Request failed with status code {response.status_code}: {response.text}")
# Sample 2
import csv
import requests
from tqdm import tqdm
api_key = 'ALPHA NUMERIC API KEY'
base_url = 'https://rally1.rallydev.com/slm/webservice/v2.0/hierarchicalrequirement'
headers = {
'zsessionid': api_key,
'Content-Type': 'application/json'
}
query = '(CreationDate >= 2023-01-01)'
params = {
'query': query,
'fetch': 'true',
'pagesize': 5000
}
response = requests.get(base_url, headers=headers, params=params)
if response.status_code == 200:
data = response.json()
# Process the data as needed
with open('userstories.csv', 'w', newline='', encoding='utf-8') as csvfile:
fieldnames = ['FormattedID', 'Name', 'Parent', 'PortfolioItem', 'FeatureFormattedID', 'Project', 'Owner', 'Iteration', 'SplitReasonCategory', 'ScheduleState', 'PlanEstimate', 'TaskEstimateTotal', 'TaskActualTotal', 'TaskStatus', 'CreationDate', 'AcceptedDate']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for story in tqdm(data['QueryResult']['Results'], desc='Extracting data'):
writer.writerow({
'FormattedID': story['FormattedID'],
'Name': story['Name'],
'Parent': story['Parent']['_refObjectName'] if story['Parent'] else '',
'PortfolioItem': story['PortfolioItem']['_refObjectName'] if story['PortfolioItem'] else '',
'FeatureFormattedID': story['PortfolioItem']['FormattedID'] if story['PortfolioItem'] and 'FormattedID' in story['PortfolioItem'] else '',
'Project': story['Project']['_refObjectName'],
'Owner': story['Owner']['_refObjectName'] if story['Owner'] else '',
'Iteration': story['Iteration']['_refObjectName'] if story['Iteration'] else '',
'SplitReasonCategory': story['c_SplitReasonCategory'],
'ScheduleState': story['ScheduleState'],
'PlanEstimate': story['PlanEstimate'],
'TaskEstimateTotal': story['TaskEstimateTotal'],
'TaskActualTotal': story['TaskActualTotal'],
'TaskStatus': story['TaskStatus'],
'CreationDate': story['CreationDate'],
'AcceptedDate': story['AcceptedDate']
})
else:
print(f'An error occurred: {response.text}')
Happy Coding!!