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orca's Introduction

Build Docker image

docker build -t orca .

Usage with Docker

docker run --rm -p 5000:5000 -v "$PWD:$PWD" -w "$PWD" orca --file input-0.json

Requests

Stats

curl http://127.0.0.1:5000/stats
{
  "vm_count": 2,
  "request_count": 4,
  "average_request_time": 0.000411454
}

Attack

curl http://127.0.0.1:5000/attack?vm_id=vm-a211de
[
  "vm-c7bac01a07"
]

Limitations

  • No fancy output of an error (like missing vm_id in a query) and status
  • Only a few tests (parse and analyze) because there is nothing to test:
    • input serialization is done by pydantic
    • only single input query for attack with dict.get operation
    • middleware simple as two code lines
    • args parsing is done by typer

Features

  • All data in memory
  • Data for the attack API already prepared for usage, i.e. there is no raw json in of policies in memory, so there is no overhead for the finding the answer, answers already in memory as a dict (look at analyzer.Routes):
{
    "vm-a211de": ["vm-c7bac01a07"],
    "vm-c7bac01a07": [],
}

Overview

File is parsed on the startup only after that the server.

Data for APIs stored inside app in app.state attribute and live only in memory.

Http API views are defined in router module.

Stats collected by middleware.MeasureProcessTimeMiddleware.

For cli typer is used and live in cli module.

orca's People

Watchers

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