apache-airflow-providers-asana

v2.11.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories. It does not execute shell commands, make network calls, or exhibit behaviors that suggest credential harvesting. The metadata has minor issues but nothing that points towards malicious intent.

  • Low network and shell execution risks
  • Minor metadata concerns but no clear malicious intent
  • No credential harvesting detected
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions for its functionality.
  • Shell: No shell executions detected, which is expected as legitimate Python packages typically avoid executing system commands.
  • Obfuscation: The observed pattern is likely a standard method for extending module search paths and not indicative of malicious activity.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.
  • Metadata: The package has some minor issues but no clear signs of malice or typosquatting.

📦 Package Quality Overall: Medium (7.8/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

  • Test runner config found: conftest.py
  • 10 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-asa
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3467 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
  • 24 type-annotated function signatures detected in source
✦ 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 4.0

Found 2 obfuscation pattern(s)

  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
  • under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # # Licensed to the Apache
✓ 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-asana 
Develop a task management automation tool using Apache Airflow and the 'apache-airflow-providers-asana' package. This tool will help streamline the process of managing tasks in Asana, a popular project management platform, by automating certain repetitive tasks such as updating task statuses based on certain conditions or triggering workflows within Asana based on events happening outside of it.

### Project Overview:
- **Name:** Task Management Automation with Apache Airflow & Asana
- **Goal:** Automate task management processes in Asana using Apache Airflow.
- **Technologies Used:** Python, Apache Airflow, 'apache-airflow-providers-asana'

### Features:
1. **Task Status Update:** Create a DAG (Directed Acyclic Graph) in Airflow that monitors specific tasks in Asana and updates their status to 'Completed' if they meet certain criteria (e.g., completion date passed).
2. **Trigger Workflows:** Implement a feature that triggers Asana workflows when a task in Airflow reaches a certain state (e.g., successful execution).
3. **Custom Conditions:** Allow users to define custom conditions for task updates and workflow triggers.
4. **Reporting:** Generate reports summarizing task statuses and workflow executions for a given period.
5. **User Interface:** Develop a simple web interface to view and manage tasks and workflows directly from the application.

### Implementation Steps:
1. **Setup Environment:** Install Apache Airflow and the 'apache-airflow-providers-asana' package.
2. **Configuration:** Configure Airflow to connect to your Asana workspace using OAuth2 authentication.
3. **Create Tasks:** Use the 'apache-airflow-providers-asana' package to create tasks in Asana programmatically.
4. **Define Conditions:** Write Python functions to define conditions under which tasks should be updated or workflows triggered.
5. **Build DAGs:** Construct DAGs in Airflow that execute these conditions and interact with Asana.
6. **Integrate Reporting:** Utilize Airflow's logging capabilities to generate reports on task statuses and workflow executions.
7. **Develop UI:** Create a basic web interface using Flask or another lightweight framework to interact with the application.
8. **Testing & Deployment:** Test the application thoroughly and deploy it to a cloud environment for continuous operation.

### How 'apache-airflow-providers-asana' Package is Utilized:
- The package provides operators and hooks that allow seamless interaction with Asana APIs from within Apache Airflow.
- Operators like 'AsanaCreateTaskOperator', 'AsanaUpdateTaskOperator', etc., are used to create and update tasks.
- Hooks like 'AsanaHook' facilitate authentication and API calls to Asana.
- These components enable the creation of complex workflows and task management processes that integrate closely with Asana's functionalities.

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