Make Python Dependencies Required By Importers Optional

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Introduction

Otava is a data integration tool that supports various data importers, including PostgreSQL, BigQuery, Graphite, and CSV. While these importers are implemented using 3rd-party Python modules, the current setup requires all these modules to be installed to make Otava work. This results in a long list of dependencies, with 74 Python modules currently required. In this article, we propose making Python modules required by data importers optional, reducing the list of dependencies and making Otava more flexible and user-friendly.

The Current Setup

The current setup requires all 3rd-party Python modules to be installed to make Otava work. This is because each importer is implemented using a specific set of modules, and if any of these modules are missing, Otava will not work. The list of dependencies includes 74 Python modules, which can be overwhelming for users who only need to use a single importer.

The Problem with the Current Setup

The current setup has several issues:

  • Overkill: Users who only need to use a single importer are forced to install all other 3rd-party modules, which can be unnecessary and time-consuming.
  • Complexity: The long list of dependencies can be confusing and difficult to manage.
  • Security: Installing unnecessary modules can introduce security risks, as each module can potentially have vulnerabilities.

Proposed Solution

To address these issues, we propose making Python modules required by data importers optional. This can be achieved by:

  • Modularizing the importers: Each importer can be implemented as a separate module, with its own dependencies.
  • Using a plugin architecture: Otava can use a plugin architecture, where each importer is a plugin that can be loaded dynamically.
  • Providing a default set of dependencies: Otava can provide a default set of dependencies that are required for all importers, and allow users to add additional dependencies as needed.

Benefits of the Proposed Solution

The proposed solution has several benefits:

  • Reduced dependencies: The list of dependencies can be reduced, making it easier for users to manage and install the required modules.
  • Increased flexibility: Users can choose which importers to use and which dependencies to install, making Otava more flexible and user-friendly.
  • Improved security: By only installing the required modules, users can reduce the risk of introducing security vulnerabilities.

Implementation

To implement the proposed solution, we can use the following steps:

  1. Modularize the importers: Each importer can be implemented as a separate module, with its own dependencies.
  2. Use a plugin architecture: Otava can use a plugin architecture, where each importer is a plugin that can be loaded dynamically.
  3. Provide a default set of dependencies: Otava can provide a default set of dependencies that are required for all importers, and allow users to add additional dependencies as needed.

Example Use Case

Suppose a user wants to use the PostgreSQL importer, but does not need to use any other importers. With the proposed solution, the user can install only the required dependencies for the PostgreSQL importer, without having to install all other 3rd-party modules.

Conclusion

In conclusion, making Python modules required by data importers optional can reduce the list of dependencies, increase flexibility, and improve security. By modularizing the importers, using a plugin architecture, and providing a default set of dependencies, Otava can become more user-friendly and easier to manage.

Future Work

Future work can include:

  • Implementing the proposed solution: Otava can be modified to use the proposed solution, with modularized importers and a plugin architecture.
  • Testing and validation: The proposed solution can be tested and validated to ensure that it works as expected.
  • Documentation and support: Documentation and support can be provided to help users understand and use the proposed solution.

References

Appendix

The following is the list of dependencies required by the data importers:

asn1crypto==1.5.1     
attrs==25.3.0 
autoflake==1.7.8                   
backports.zoneinfo==0.2.1                                                                                                                                     
cachetools==5.5.2
certifi==2025.1.31
cfgv==3.4.0        
charset-normalizer==3.4.1
dateparser==1.2.0
decorator==5.2.1  
distlib==0.3.9             
expandvars==0.6.5
filelock==3.16.1 
flake8==4.0.1     
google-api-core==2.24.2
google-auth==2.38.0
google-cloud-bigquery==3.30.0    
google-cloud-core==2.4.3
google-crc32c==1.5.0
google-resumable-media==2.7.2
googleapis-common-protos==1.69.1
grpcio==1.70.0
grpcio-status==1.70.0
identify==2.6.1 
idna==3.10      
importlib_metadata==8.5.0
iniconfig==2.0.0 
isort==5.13.2          
mccabe==0.6.1
more-itertools==8.14.0
nodeenv==1.9.1
numpy==1.24.0                      
-e git+https://github.com/apache/otava/@2f3369f447133594cf827978ca0e558df064b7bf#egg=otava
packaging==24.2  
pg8000==1.31.2   
platformdirs==4.3.6
pluggy==1.5.0
pre-commit==3.5.0
proto-plus==1.26.1
protobuf==5.29.3           
py==1.11.0  
py-cpuinfo==9.0.0
pyasn1==0.6.1     
pyasn1_modules==0.4.1
pycodestyle==2.8.0
pyflakes==2.4.0                  
pystache==0.6.7
pytest==6.2.5
pytest-benchmark==4.0.0
python-dateutil==2.9.0.post0
pytz==2021.1
PyYAML==6.0.2
regex==2024.11.6
requests==2.32.3
rsa==4.9
ruamel.yaml==0.17.21
ruamel.yaml.clib==0.2.8
ruff==0.6.9
scipy==1.9.3
scramp==1.4.5
signal-processing-algorithms==1.3.5
six==1.17.0
slack_sdk==3.34.0
structlog==19.2.0
tabulate==0.8.10
toml==0.10.2
tomli==2.2.1
tox==3.28.0
typing-extensions==3.10.0.2
tzlocal==5.2
urllib3==2.2.3
validators==0.18.2
virtualenv==20.29.3
zipp==3.20.2

Q: What is the current setup for Otava's data importers?

A: The current setup requires all 3rd-party Python modules to be installed to make Otava work. This is because each importer is implemented using a specific set of modules, and if any of these modules are missing, Otava will not work.

Q: Why is the current setup a problem?

A: The current setup has several issues:

  • Overkill: Users who only need to use a single importer are forced to install all other 3rd-party modules, which can be unnecessary and time-consuming.
  • Complexity: The long list of dependencies can be confusing and difficult to manage.
  • Security: Installing unnecessary modules can introduce security risks, as each module can potentially have vulnerabilities.

Q: What is the proposed solution to make Python dependencies required by importers optional?

A: The proposed solution involves:

  • Modularizing the importers: Each importer can be implemented as a separate module, with its own dependencies.
  • Using a plugin architecture: Otava can use a plugin architecture, where each importer is a plugin that can be loaded dynamically.
  • Providing a default set of dependencies: Otava can provide a default set of dependencies that are required for all importers, and allow users to add additional dependencies as needed.

Q: What are the benefits of the proposed solution?

A: The proposed solution has several benefits:

  • Reduced dependencies: The list of dependencies can be reduced, making it easier for users to manage and install the required modules.
  • Increased flexibility: Users can choose which importers to use and which dependencies to install, making Otava more flexible and user-friendly.
  • Improved security: By only installing the required modules, users can reduce the risk of introducing security vulnerabilities.

Q: How can the proposed solution be implemented?

A: To implement the proposed solution, the following steps can be taken:

  1. Modularize the importers: Each importer can be implemented as a separate module, with its own dependencies.
  2. Use a plugin architecture: Otava can use a plugin architecture, where each importer is a plugin that can be loaded dynamically.
  3. Provide a default set of dependencies: Otava can provide a default set of dependencies that are required for all importers, and allow users to add additional dependencies as needed.

Q: What is an example use case for the proposed solution?

A: Suppose a user wants to use the PostgreSQL importer, but does not need to use any other importers. With the proposed solution, the user can install only the required dependencies for the PostgreSQL importer, without having to install all other 3rd-party modules.

Q: What are the next steps for implementing the proposed solution?

A: The next steps for implementing the proposed solution include:

  • Implementing the modularized importers: Each importer can be implemented as a separate module, with its own dependencies.
  • Implementing the plugin architecture: Otava can a plugin architecture, where each importer is a plugin that can be loaded dynamically.
  • Providing a default set of dependencies: Otava can provide a default set of dependencies that are required for all importers, and allow users to add additional dependencies as needed.

Q: What are the potential risks and challenges of implementing the proposed solution?

A: The potential risks and challenges of implementing the proposed solution include:

  • Complexity: Implementing the proposed solution can be complex and require significant changes to the existing codebase.
  • Testing and validation: The proposed solution will need to be thoroughly tested and validated to ensure that it works as expected.
  • User adoption: Users may need to be educated on how to use the proposed solution and may require additional support.

Q: What is the expected outcome of implementing the proposed solution?

A: The expected outcome of implementing the proposed solution is:

  • Reduced dependencies: The list of dependencies can be reduced, making it easier for users to manage and install the required modules.
  • Increased flexibility: Users can choose which importers to use and which dependencies to install, making Otava more flexible and user-friendly.
  • Improved security: By only installing the required modules, users can reduce the risk of introducing security vulnerabilities.