Real-Time Protocol Harmonizer
Table of Contents
This is an open-source project called ProtoconfLoader, a versatile system primarily devised for managing and optimizing web crawling processes across multiple devices and systems. It fosters unified communications over a custom protocol (ProtoConf) via Protobuf framework and gRPC messaging, centralizing configuration updates. Python 3 is exclusively used due to excellent compatibility with the required software modules.Key functionalities include the compilation of protobuf executables for synchronous communication between components, smart loading mechanism catering various configurations such as UserAgents, connection timeout adjustments and versatile logging practices, and dynamically updated demo applications illustrating this interaction. Unit test requirements support ensuring compatibility between Python 3.* and PyTest/pytest-asyncio alongside other specialized suites (GRPCIO).
| | Feature | Description | | --- | --------------|---||===|=====|========|
⚙️ Architecture | Based on gRPC protocol, utilizing Protobuf (Protocol Buffers). It has a modular ecosystem which includes a demo application and API with key modules like an agent, config loading, and testing frameworks like pytest-asyncio |
| 🔩 Code Quality | Employs clear programming standards and structure including docstrings and descriptive variable naming. Also uses linting tools for code consistency |
|❛❉📄 Documentation|---Moderately well-documented, providing brief descriptions and basic configurations for each major functionality; documentation could benefit from comprehensive explanations (more info about the various modules like config.json) | |**(Need more context about other files. Specifically, the details regarding agent module.) (need elaboration about demos in run_demo.sh, config_parsing in protoconfload/protoconfloader.py, integration specifics of .service.py files in v1 protocol, more details could be beneficial also)
| 💱 Conf | Integrates various config files as described with detailed options for multiple platforms (conf,config.json)|
| 🤖 Robots ** | _________________---_(need more context and details around modules controlling robots, how interact with gRPC for config updates) ______________________| | ⚪ Connections(_for bots and scrapers across devices) | (details are only referenced in files, the actual implementation could use elucidation on specific connections to external systems like websites or services) _ ***(include integration with scraper processes)________(include more details about integration specifically in regard to running in web conditions)| ███ **Testing Tools **_ | Pytest (with pytest-asyncio used for async tasks handling), Coverage tools (run_tests.sh, requirements-text.txt, pyproject_toml
⚡️ Performance -- | Optimized for responsiveness and efficiency by utilizing concurrency via gPRC calls **|--(also uses grpc calls which enable multiplexation on the same sockets, contributing to performance optimization) `--
◯🌐 Web APIs & Interfacing ** (needs clarification about web-based interfaces integration in the API as only local application development is documented |(detail use with scraping/crawling bots, any other connections) __ __ ___ _____
└── /
├── LICENSE
├── README.md
├── agent
│ └── api
├── config.json
├── demo_app
│ └── demo_app.py
├── gen_proto_files.sh
├── pip.conf
├── poetry.lock
├── protoconfloader
│ ├── __init__.py
│ └── protoconfloader.py
├── pyproject.toml
├── requirements-test.txt
├── requirements.txt
├── run_demo.sh
├── run_tests.sh
└── tests
├── test_data
└── test_protoconfloader.py.
| File | Summary |
|---|---|
| gen_proto_files.sh | Compiles proto buff executables in specified directory using grpc modules, generating necessary Python bindings from provided proto definitions, contributing to a unified protocol communication framework across the system. |
| requirements.txt | Installocates crucial software utilities specified within the repositorys requirements.txt such as asyncio, grpcio alongside various tools for proto buf, h2 etc required by our software architecture. Specific focus on Python 3 for versions v3.11 upto but excluding 4.0. Enabling a sleek execution engine for the software and facilitating interoperability with our custom protoconf protocol. |
| config.json | Streamlines various users and bots within multiple web-scraping processes across devices and systems. Critical feature for this config.json is settings diversifiers like UserAgent customization, specific connection timeouts, and adjustable LogLevel. Such customizations are used in orchestrating the execution workflow across an assortment of scrapes, essential for optimizing data retrieval. |
| requirements-test.txt | In this repository, a test requirement document ensures smooth runnings of unit tests compatible with Python 3.11 to 3.* and various test frameworks like pytest, grpcio, pytest-asyncio-fostering quality assured coding practice across the parent repository architecture's modules and packages (exemplified by demo_app, protocol/loader). |
| pyproject.toml | Ingests and manages protobuf configuration files for an entire repository, fostering efficient communication among components in its structure. With dependencies such as Asyncio, ProtoBuf3, and GrpcIO-Tools; streamlines the interaction by providing protocol buffer loader functionality. [End of Summary] |
| run_demo.sh | Demo Application RundownScript named run_demo.sh boots the demo application interacting seamlessly with dynamic configuration management agent-the Protoconf Agent. Once running, demonstrating data flow using its adaptable setup based on user/test specifications in tests/directory. Agent runs & stops according to operations lifecycle. It offers visual demos under controlled testing configurations. |
| pip.conf | Manages PyPIpackage dependencies, pulling from private BUF build library for smooth API interaction within the application ecosystem. |
| run_tests.sh | Executes test scripts, enforces functionality, and verifies performance for the open-source protoconfloader project, ensuring seamless integration of the protobuf package and configurations. |
agent.api.proto.v1
| File | Summary |
|---|---|
| protoconf_service_pb2.py | The provided code in /agent/api/proto/v1/protoconf_service_pb2.py acts as an interactive agent that allows clients to SubscribeForConfig and recieve real-time ConfigUpdate, effectively centralizing, managing, and propagating configurations by employing gRPC messaging (Protobuf serialization) over protocol buffers v3 (agent.api.proto.v1.protoconf_service_pb2 extension). |
| protoconf_service_pb2_grpc.py | Initiates communication between API agent services via gRPC by defining necessary client and server functions. Adhering to version-specific grpc dependencies (>=1.65.5). Contains experimental ProtoconfService static method for unary stream calls to perform subscriptions for configuration updates. |
| protoconf_service.proto | Transforms structured config requests into updates delivered through ProtoconfService streams, fostering dynamical adaptivity within repository ecosystem. [protocol conf management system enhanced] |
protoconfloader
| File | Summary |
|---|---|
| protoconfloader.py | Refreshes configuration from a JSON file as well as listens for updates via gRPC service concurrently. Monitors local file consistently; restarts on exceptions during task execution while logging errors/issues for rectification. Streamlines data handling. |
demo_app
| File | Summary |
|---|---|
| demo_app.py | This Python script initiates an asynchronous app using config_app architecture. It sets up user configuration (represented via Protocol Buffers structures), enables watching for dynamic changes and handles such adjustments gracefully. Essentially, it forms the basis of flexible configuration management within the larger system. |
System Requirements:
- Python:
version x.y.z
- Clone the repository:
$ git clone https://github.com/protoconf/client-python/
- Change to the project directory:
$ cd
- Install the dependencies:
$ pip install -r requirements.txt
Run using the command below:
$ python main.py
Run the test suite using the command below:
$ pytest
-
► INSERT-TASK-1 -
► INSERT-TASK-2 -
► ...
Contributions are welcome! Here are several ways you can contribute:
- Report Issues: Submit bugs found or log feature requests for the `` project.
- Submit Pull Requests: Review open PRs, and submit your own PRs.
- Join the Discussions: Share your insights, provide feedback, or ask questions.
Contributing Guidelines
- Fork the Repository: Start by forking the project repository to your github account.
- Clone Locally: Clone the forked repository to your local machine using a git client.
git clone https://github.com/protoconf/client-python/
- Create a New Branch: Always work on a new branch, giving it a descriptive name.
git checkout -b new-feature-x
- Make Your Changes: Develop and test your changes locally.
- Commit Your Changes: Commit with a clear message describing your updates.
git commit -m 'Implemented new feature x.' - Push to github: Push the changes to your forked repository.
git push origin new-feature-x
- Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.
- Review: Once your PR is reviewed and approved, it will be merged into the main branch. Congratulations on your contribution!
Contributor Graph
This project is protected under the SELECT-A-LICENSE License. For more details, refer to the LICENSE file.
- List any resources, contributors, inspiration, etc. here.