apache-airflow-providers-sendgrid

v4.2.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all assessed categories with no indications of malicious intent or unusual behavior.

  • No network or shell execution risks detected.
  • Minor obfuscation and metadata issues but not indicative of malice.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing system commands.
  • Obfuscation: The observed pattern is likely used for extending package paths and is a common practice in Python packaging, not indicative of malicious activity.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The package has some minor issues but no clear signs of malice.

📦 Package Quality Overall: Medium (7.4/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: conftest.py
  • 5 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-sen
  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (3492 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
✦ 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-sendgrid 
Create a small project named 'EmailCampaignScheduler' using Apache Airflow and the 'apache-airflow-providers-sendgrid' package. This project will serve as a scheduler for sending personalized email campaigns at scheduled intervals. Here’s a detailed breakdown of the project requirements:

1. **Project Overview**: The EmailCampaignScheduler application will allow users to create, schedule, and send personalized email campaigns through SendGrid.
2. **Features**:
   - **User Interface**: A simple web-based UI where users can input campaign details like recipient lists, subject lines, and content.
   - **Scheduling**: Users should be able to schedule when their campaigns start and end, including specific days and times.
   - **Personalization**: Support for dynamic placeholders in emails that get replaced with actual data from a database (e.g., customer names).
   - **Analytics**: Basic analytics showing the number of emails sent, open rates, and click-through rates.
3. **Technical Details**:
   - **Database**: Use a SQLite database to store user accounts, campaign information, and analytics data.
   - **Apache Airflow**: Set up a local Airflow environment to manage workflows and schedules.
   - **SendGrid Integration**: Utilize the 'apache-airflow-providers-sendgrid' package to integrate with SendGrid for sending emails.
4. **Steps to Build**:
   - **Step 1**: Install necessary packages including Apache Airflow, 'apache-airflow-providers-sendgrid', Flask (for the web interface), and SQLAlchemy (for database operations).
   - **Step 2**: Design and implement the SQLite database schema to store user and campaign data.
   - **Step 3**: Create a basic Flask web application allowing users to input campaign details.
   - **Step 4**: Implement an Airflow DAG that reads campaign data from the database and sends emails using SendGrid.
   - **Step 5**: Integrate analytics tracking into the DAG to record email metrics and store them back in the database.
   - **Step 6**: Test the application thoroughly to ensure all components work correctly together.
5. **Utilizing 'apache-airflow-providers-sendgrid'**:
   - Use the SendGridOperator provided by the package to send emails within your Airflow DAGs. This operator will handle the connection to SendGrid and the actual sending of emails based on the campaign data retrieved from the database.

This project aims to demonstrate the integration of Apache Airflow with third-party services like SendGrid for real-world use cases such as email marketing campaigns.

💬 Discussion Feed

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