jarbin-toolkit-jartest 0.0.1.4

Test tool (Benchmark / Test / Assertion / etc...)

📦 Jarbin-ToolKit:JarTest v0.0.1.4

Deterministic test execution framework based on structured assertions, benchmarking, and controlled test discovery

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🔹 Short Description

Jarbin-ToolKit JarTest is a lightweight testing and benchmarking framework that executes Python test functions through structured Benchmark containers, records assertions, measures execution time, and aggregates results in a deterministic reporting system.

It provides:

• automatic test discovery based on naming conventions
• structured assertion tracking with contextual recording
• execution benchmarking with precise timing
• stdout/stderr capture utilities
• hierarchical test execution and reporting

It is not a unit testing clone of pytest, but a deterministic execution and benchmarking harness with integrated assertion tracking.

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🔹 Authors

• Nathan (Jarjarbin06)
• Jarbin Studio

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🔹 License

GPL v3

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🔹 Target Audience

This library is intended for:

• Python developers building custom test frameworks
• developers requiring deterministic benchmarking pipelines
• engineers designing structured validation systems
• projects needing lightweight alternatives to full testing ecosystems

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🔹 Platform Support

• Python ≥ 3.10
• Standard library only (except internal Jarbin-ToolKit dependencies)
• Linux / Windows / macOS compatible

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🔹 Purpose

Jarbin-ToolKit JarTest aims to:

• execute test functions in isolated benchmarking environments
• capture execution time with high-resolution measurement
• collect structured assertion results during execution
• aggregate errors, exceptions, and outputs in a unified model
• provide deterministic reporting across multiple test runs

It is not a general-purpose testing framework, but a structured benchmarking and assertion orchestration layer over Python callables.

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🔹 Key Features

• automatic test discovery via JT_ prefix
• benchmark execution wrapper (Benchmark)
• assertion system with contextual collection
• execution timing with adaptive formatting (ns → s → min)
• stdout/stderr capture via Get.Redirect
• CLI-style test runner with formatted terminal output
• recursive test collection across modules

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🔹 Architecture Overview

User Test Module
      │
      ▼
JarTest.fetch()
      │
      ▼
Benchmark(test_function)
      │
      ├───────────────┐
      ▼               ▼
StopWatch        AssertionContext
      │               │
      ▼               ▼
Execution        AssertionResult list
      │
      ▼
Result Aggregation
      │
      ▼
JarTest.run()
      │
      ▼
Console Reporting Layer

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🔹 Core Concept

The system is based on four core entities:

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Benchmark

Encapsulates a test execution unit:

Benchmark(test_function)

Responsible for:

• executing test functions
• measuring execution time
• capturing exceptions and assertion failures
• storing returned values

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Assertion System

Assertions are recorded during execution using a context variable:

Assertion.eq(a, b)
Assertion.neq(a, b)
Assertion.contain(a, b)
Assertion.ncontain(a, b)

Each assertion produces an AssertionResult:

Field	Description
name	assertion type
passed	boolean result
values	input tuple
expected	expected value
actual	observed value
meta	operator + type metadata

Assertions are automatically collected via AssertionContext.

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JarTest

Main orchestrator:

JarTest.fetch()
JarTest.run()

Responsible for:

• discovering test functions
• wrapping them into benchmarks
• executing batches of tests
• generating structured CLI reports

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Get Utility

Provides execution introspection:

• stdout/stderr capture
• subprocess execution wrapper
• controlled output redirection

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🔹 API / Function Documentation

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🔹 Assertion

Method	Description
eq	equality check with type enforcement
neq	inequality check with type enforcement
contain	membership check
ncontain	non-membership check

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🔹 Benchmark

Method	Description
__call__(n)	executes test n times
benchmark()	static execution wrapper
time_to_str()	formats execution time

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🔹 JarTest

Method	Description
fetch()	discovers test functions in module
fetch_tests()	recursive module test collection
run()	executes all benchmarks with reporting
__call__()	fetch + run shortcut

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🔹 Get

Redirect:

Method	Description
stdout()	capture stdout + return from function
stderr()	capture stderr + return from function
all_std()	capture stdout + stderr + return
cmd_stdout()	run shell command (stdout + exit)
cmd_stderr()	run shell command (stderr + exit)
cmd_all_std()	run shell command (stdout + stderr + exit)

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🔹 Project Structure

jarbin_toolkit_jartest/
├── assertion.py
├── benchmark.py
├── get.py
├── jartest.py
└── __init__.py

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🔹 Usage Section

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🔹 Defining a Test

from jarbin_toolkit_jartest import Assertion

def JT_example():
    Assertion.eq(2 + 2, 4)
    Assertion.contain("a", "abc")

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🔹 Running Tests

Auto test fetch & run

from jarbin_toolkit_jartest import JarTest

JTT_example = JarTest()
JTT_example()

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🔹 Capturing Output

from jarbin_toolkit_jartest import Get, Assertion

def foo():
    print("bar")

def JT_example():
    out, ret = Get.Redirect.stdout(foo)
    Assertion.contain("bar", out, '"bar" not printed')

🔹 Full test

Manual test fetch & run

from jarbin_toolkit_jartest import JarTest, Get, Assertion

def foo(message: str):
    print("msg = " + message)

def JT_failing():
    out, ret = Get.Redirect.stdout(foo)
    Assertion.contain("...", out, 'missing argument')

def JT_valid():
    out, ret = Get.Redirect.stdout(foo, "hello world")
    Assertion.contain("hello world", out)

JTT_example = JarTest()
JTT_example.fetch()
JTT_example.run()

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🔹 Execution Behavior

• Each test runs inside a Benchmark wrapper
• Assertions are collected via contextvars
• Execution timing is measured using StopWatch
• Exceptions are captured but do not stop reporting unless fatal
• Multiple test runs accumulate results

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🔹 Memory Model

• AssertionResult objects are stored per test execution

• Benchmark maintains:

  • time history
  • error history
  • assertion history
  • traceback history

• JarTest maintains a registry of benchmarks indexed by name

No implicit global state outside controlled context variables.

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🔹 Design Philosophy

• deterministic execution over dynamic behavior
• structured assertion tracking instead of boolean-only tests
• explicit benchmarking integration
• modular separation of execution, assertion, and reporting
• reproducible test runs

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🔹 Current State

⚠️ Core test execution and benchmarking system is functional

Status:

• assertion system implemented
• benchmark engine implemented
• test discovery implemented
• CLI reporting implemented
• stdout/stderr capture implemented

Limitations:

• no parallel test execution
• no test isolation sandboxing
• limited assertion set
• no fixtures system
• no mocking framework

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🔹 Limitations

• synchronous execution only
• no dependency injection system
• no advanced test lifecycle hooks
• no distributed execution
• console output tightly coupled to terminal UI system

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🔹 Extension / Contribution

Possible extensions:

• fixture system for reusable test contexts
• parallel benchmark execution
• richer assertion library
• mocking utilities
• JUnit/XML export support
• test filtering and tagging system

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🔹 Notes

JarTest is designed as a deterministic hybrid between testing and benchmarking, not a strict replacement for pytest.

It prioritizes:

• execution traceability
• performance measurement
• structured assertion metadata

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🔹 Identity Summary

Jarbin-ToolKit JarTest is:

• a deterministic test execution engine
• a structured assertion tracking system
• a benchmarking-oriented testing framework
• a lightweight test orchestration layer

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🔹 Final Rule

If a test behavior is not executed inside Benchmark, it is not part of the system.

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