Proposal: ReportConfig API Design

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Introduction

The ReportConfig API is a crucial component of our system, responsible for defining the shape of the output report and configuring what gets reported. As the output report may be extremely large or unreadable if all information is included by default, it is essential to strike a balance between providing valuable insights and minimizing the report's size. In this proposal, we will outline the design of the ReportConfig API, focusing on the shape of the output report and how to configure what gets reported.

ReportConfig API Overview

The ReportConfig API is designed to provide a flexible and customizable way to generate reports. The API consists of two main sections: Requests and Prometheus. Each section contains various configuration options that allow users to tailor the report to their specific needs.

Requests

The Requests section of the ReportConfig API is responsible for configuring the report's request-related metrics. The following configuration options are available:

Summary

  • Summary: If included, reports summary metrics (median, p50, p90, p99 for TPOT, input_len, output_len, etc). This option allows users to include a high-level overview of the request metrics, providing a quick snapshot of the report's key findings.

PerRequest

  • PerRequest: If included, reports per request level metrics (start_time, end_time, input_len, output_len_). This option provides a detailed breakdown of each request, allowing users to analyze individual requests and identify potential issues.

  • IncludeInputs: A boolean option that replaces input_len with input request body. This option allows users to include the actual request body in the report, providing a more detailed understanding of the input data.

  • IncludeOutputs: A boolean option that replaces output_len with output request body. This option allows users to include the actual response body in the report, providing a more detailed understanding of the output data.

Prometheus

The Prometheus section of the ReportConfig API is responsible for configuring the report's Prometheus metrics. The following configuration options are available:

Summary

  • Summary: If included, report prometheus metrics over the span of the entire experiment. This option allows users to include a high-level overview of the Prometheus metrics, providing a quick snapshot of the report's key findings.

Periodic

  • Interval: A uint option that scrapes metrics every {interval} seconds, include the results of each scrape including a timestamp. This option allows users to configure the frequency at which Prometheus metrics are scraped, providing a more detailed understanding of the metrics over time.

Example Use Cases

The ReportConfig API provides a flexible and customizable way to generate reports. Here are a few example use cases:

  • Basic Report: To generate a basic report that includes summary metrics for requests, users can set the Summary option to true in the Requests section.
  • Detailed Report: To generate a detailed report that includes per request level metrics and includes the actual request body, users can set the PerRequest option to true and the IncludeInputs option to true in the Requests section.
  • Prometheus Report: To generate a report that includes Prometheus metrics over the span of the entire experiment, users can set the Summary option to true in the Prometheus section.

Conclusion

The ReportConfig API provides a flexible and customizable way to generate reports. By configuring the shape of the output report and what gets reported, users can tailor the report to their specific needs. The API's design allows for a balance between providing valuable insights and minimizing the report's size, making it an essential component of our system.

API Design

The ReportConfig API is designed to be extensible and flexible, allowing users to configure the report to their specific needs. The API's design is based on the following principles:

  • Modularity: The API is divided into two main sections: Requests and Prometheus. Each section contains various configuration options that allow users to tailor the report to their specific needs.
  • Flexibility: The API provides a range of configuration options that allow users to customize the report's shape and content.
  • Extensibility: The API is designed to be extensible, allowing users to add new configuration options and features as needed.

Future Development

The ReportConfig API is a crucial component of our system, and its design will continue to evolve as the system grows and changes. Some potential future developments include:

  • Adding new configuration options: As the system grows and changes, new configuration options may be needed to support emerging use cases and requirements.
  • Improving performance: As the report's size and complexity increase, performance may become a concern. Future developments may focus on improving the API's performance and scalability.
  • Enhancing extensibility: As the API continues to evolve, its extensibility will become increasingly important. Future developments may focus on making the API more modular and flexible, allowing users to add new features and configuration options with ease.

Conclusion

Frequently Asked Questions

The ReportConfig API is a complex system, and users may have various questions about its design, functionality, and usage. In this article, we will address some of the most frequently asked questions about the ReportConfig API.

Q: What is the ReportConfig API?

A: The ReportConfig API is a system that allows users to configure the shape of the output report and what gets reported. It provides a flexible and customizable way to generate reports, allowing users to tailor the report to their specific needs.

Q: What are the main sections of the ReportConfig API?

A: The ReportConfig API consists of two main sections: Requests and Prometheus. Each section contains various configuration options that allow users to customize the report's shape and content.

Q: What are the configuration options available in the Requests section?

A: The Requests section of the ReportConfig API includes the following configuration options:

  • Summary: If included, reports summary metrics (median, p50, p90, p99 for TPOT, input_len, output_len, etc).
  • PerRequest: If included, reports per request level metrics (start_time, end_time, input_len, output_len_).
  • IncludeInputs: A boolean option that replaces input_len with input request body.
  • IncludeOutputs: A boolean option that replaces output_len with output request body.

Q: What are the configuration options available in the Prometheus section?

A: The Prometheus section of the ReportConfig API includes the following configuration options:

  • Summary: If included, report prometheus metrics over the span of the entire experiment.
  • Periodic: A uint option that scrapes metrics every {interval} seconds, include the results of each scrape including a timestamp.

Q: How do I configure the ReportConfig API to generate a basic report?

A: To generate a basic report that includes summary metrics for requests, set the Summary option to true in the Requests section.

Q: How do I configure the ReportConfig API to generate a detailed report?

A: To generate a detailed report that includes per request level metrics and includes the actual request body, set the PerRequest option to true and the IncludeInputs option to true in the Requests section.

Q: How do I configure the ReportConfig API to generate a report that includes Prometheus metrics?

A: To generate a report that includes Prometheus metrics over the span of the entire experiment, set the Summary option to true in the Prometheus section.

Q: Can I add new configuration options to the ReportConfig API?

A: Yes, the ReportConfig API is designed to be extensible, allowing users to add new configuration options and features as needed.

Q: How do I improve the performance of the ReportConfig API?

A: To improve the performance of the ReportConfig API, consider the following:

  • Optimize the report's size and complexity: Reduce the report's size and complexity to improve performance.
  • Use caching: Implement to reduce the number of requests made to the ReportConfig API.
  • Use parallel processing: Use parallel processing to improve the performance of the ReportConfig API.

Q: How do I enhance the extensibility of the ReportConfig API?

A: To enhance the extensibility of the ReportConfig API, consider the following:

  • Use modular design: Use a modular design to make it easier to add new features and configuration options.
  • Use APIs and interfaces: Use APIs and interfaces to make it easier to integrate with other systems and tools.
  • Use open standards: Use open standards to make it easier to integrate with other systems and tools.

Conclusion

The ReportConfig API is a complex system that provides a flexible and customizable way to generate reports. By configuring the shape of the output report and what gets reported, users can tailor the report to their specific needs. This Q&A article has addressed some of the most frequently asked questions about the ReportConfig API, providing users with a better understanding of its design, functionality, and usage.