AI Analysis
The package shows minimal risk indicators, primarily due to a potential credential misuse risk. However, there are no definitive signs of malicious activity or supply-chain attacks.
- moderate credential risk due to hardcoded key file path
- minor metadata issues
Per-check LLM notes
- Network: No network call patterns detected, which is normal for a package that does not require external communications.
- Shell: No shell execution patterns detected, consistent with a benign package focused on its intended functionality.
- Obfuscation: The obfuscation pattern is likely benign, as it's a common practice for extending module paths and not indicative of malicious activity.
- Credentials: The detected pattern suggests potential misuse for storing credentials, particularly concerning the hardcoded key file path which could lead to unauthorized access if misused.
- Metadata: The package has some minor issues with maintainer history and an insecure external link, but no clear signs of malicious intent.
Package Quality Overall: Medium (7.8/10)
Test suite present — 23 test file(s) found
Test runner config found: conftest.py23 test file(s) detected (e.g. conftest.py)
Well-documented package
Documentation URL: "Documentation" -> https://airflow.apache.org/docs/apache-airflow-providers-sft1 documentation file(s) (e.g. conf.py)Detailed PyPI description (4473 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project67 type-annotated function signatures detected in source
Active multi-contributor project
46 unique contributor(s) across 100 commits in apache/airflowActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
under the License. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Licensed to the Apache S
No shell execution patterns detected
Found 1 credential access pattern(s)
y=TEST_PKEY) TEST_KEY_FILE = "~/.ssh/id_rsa" class TestSFTPHook: def update_connection(self, logi
No typosquatting candidates detected
Email domain looks legitimate: airflow.apache.org>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository apache/airflow appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a small but fully-functional utility using Apache Airflow and the 'apache-airflow-providers-sftp' package. This utility will automate the process of transferring files between a local directory on your machine and an SFTP server. It should be designed to run periodically, allowing for continuous synchronization of files between these two locations. ### Core Functionality: - **Synchronization**: Your utility should sync files from a specified local directory to an SFTP server, and vice versa. Ensure it handles file deletions and updates properly. - **Periodic Execution**: Use Apache Airflow to schedule the synchronization process to run at regular intervals (e.g., every hour). - **Error Handling**: Implement robust error handling to manage issues such as network failures, authentication errors, or file access permissions. - **Logging**: Utilize logging within Apache Airflow to record the status of each synchronization attempt, including success, failure, and any errors encountered. ### Additional Features (Optional): - **File Filtering**: Allow users to specify file patterns (using regex or wildcard characters) so that only certain types of files are transferred. - **Custom Credentials Management**: Integrate a secure method for managing SFTP credentials, possibly leveraging environment variables or a secrets manager. - **Progress Reporting**: Provide a simple progress report during file transfers, indicating which files have been successfully synced and which ones failed. ### How to Use 'apache-airflow-providers-sftp': - **Connection Setup**: Configure an SFTP connection in Apache Airflow's Admin panel, specifying the host, port, username, and password. - **Operator Usage**: Use the `SFTPOperator` provided by the 'apache-airflow-providers-sftp' package to define tasks that transfer files between the local directory and the SFTP server. - **Task Dependencies**: Structure your DAG (Directed Acyclic Graph) in a way that ensures all dependencies are met before initiating a file transfer task. Your final deliverable should include a complete DAG file written in Python, along with any necessary configuration files or scripts. Additionally, provide clear instructions on how to set up and run your utility, including any prerequisites or setup steps required.
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