Set Up Your Environment
- Create accounts on both OpenAI and SurveyMonkey if you haven't already. Ensure that you have the necessary API credentials for both platforms.
- Ensure your development environment is set up with tools that can make REST API calls, such as Postman or a programming environment like Python, Node.js, etc.
Understand the APIs
- Familiarize yourself with the OpenAI API documentation. Understand how to authenticate and make requests to utilize AI models.
- Study the SurveyMonkey API documentation. Note how to authenticate, retrieve survey data, and post results.
Authenticate with OpenAI API
- Acquire your OpenAI API key from their platform and store it securely.
import openai
openai.api_key = 'your_openai_api_key'
Authenticate with SurveyMonkey API
- Generate a SurveyMonkey access token in the Developer settings of your SurveyMonkey account.
import requests
headers = {
"Authorization": "Bearer your_surveymonkey_access_token",
"Content-Type": "application/json"
}
Retrieve SurveyMonkey Data
- Use the SurveyMonkey API to fetch survey responses that you want to analyze or process with OpenAI.
response = requests.get("https://api.surveymonkey.com/v3/surveys/{survey_id}/responses", headers=headers)
survey_data = response.json()
Processing Data with OpenAI
- Once you have the survey data, process it using OpenAI's API. For example, you might want to analyze responses or generate insights.
prompt = f"Analyze the following data and provide insights: {survey_data}"
response = openai.Completion.create(
model="text-davinci-002",
prompt=prompt,
max_tokens=150
)
output = response.choices[0].text.strip()
Integrating Results back to SurveyMonkey
- Take the processed information and if necessary, post it back to SurveyMonkey or store it for reporting.
- SurveyMonkey doesn’t support posting processed data directly through API in the same format. Consider storing insights in an internal reporting tool or database.
Error Handling and Debugging
- Implement error-handling routines to catch any API request errors or unexpected responses. Log errors for auditing and debugging.
try:
# Example API call
except Exception as e:
print(f"An error occurred: {e}")
Secure Your Integration
- Ensure that both your API keys are stored securely and not hard-coded. Use environment variables or secure vaults to manage credentials.
- Regularly review access logs and adjust access controls as needed to maintain security integrity.
Automate the Process
- Once validated, consider scheduling scripts that perform these tasks automatically using cron jobs or similar schedulers.
- This would enable continuous data analysis and reporting with minimal manual intervention.
