apache-airflow-providers-zendesk

v4.12.0 safe
3.0
Low Risk

Provider package apache-airflow-providers-zendesk for Apache Airflow

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with low risks across multiple categories. While there are minor irregularities noted, they do not indicate malicious intent.

  • Low network and shell execution risks.
  • No evidence of credential harvesting.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution within the package.
  • Obfuscation: The observed pattern is likely for extending the module search path and not indicative of malicious obfuscation.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The package shows some irregularities but lacks clear signs of malicious intent.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: conftest.py
  • 8 test file(s) detected (e.g. conftest.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-zen
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3490 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 5 type-annotated function signatures (partial)
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 46 unique contributor(s) across 100 commits in apache/airflow
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: airflow.apache.org>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
✓ Git Repository History

Repository apache/airflow appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apache-airflow-providers-zendesk 
Create a mini-application using Apache Airflow and the 'apache-airflow-providers-zendesk' package that automates the process of ticket management for a small business. This application will serve as a streamlined tool to help manage customer support tickets efficiently. Here are the key functionalities you need to implement:

1. **Ticket Creation**: Integrate the application so that it can automatically create new Zendesk tickets based on predefined criteria, such as email alerts from a specific domain.
2. **Status Updates**: Implement functionality to update the status of tickets automatically based on certain conditions (e.g., if a ticket remains unattended for more than 24 hours, its status changes to 'on hold').
3. **Custom Field Handling**: Utilize custom fields in Zendesk to store additional information relevant to your business needs, such as priority level or department tags, and ensure these are correctly populated when tickets are created or updated.
4. **Reporting**: Develop a simple reporting module that generates periodic reports on ticket statuses, trends, and other metrics that can help in assessing the efficiency of the support team.
5. **Error Handling & Notifications**: Ensure robust error handling within the DAGs (Directed Acyclic Graphs) to catch and log any errors that occur during the execution of tasks. Additionally, set up notifications to alert administrators about any issues encountered.
6. **Security & Compliance**: Make sure all interactions with Zendesk API are secure and comply with best practices for data protection and privacy.

Use the 'apache-airflow-providers-zendesk' package to facilitate communication between your Airflow environment and the Zendesk API. This includes setting up connections within Airflow to authenticate with Zendesk, utilizing operators provided by the package to interact with Zendesk endpoints, and leveraging sensors to monitor and react to changes in ticket statuses. Your final product should demonstrate proficiency in integrating external services into an automated workflow using Apache Airflow.

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