pms-application-service: pms-application-service

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Modules

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PMS
- Application
  - Service
    - App
      - PMS.Application.Service.App.Control
    - DM
      - PMS.Application.Service.DM.Constant
      - PMS.Application.Service.DM.Type
    - DS
      - PMS.Application.Service.DS.Core
      - PMS.Application.Service.DS.Utility

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pms-application-service-0.0.2.0.tar.gz [browse] (Cabal source package)
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Versions [RSS]	0.0.1.0, 0.0.2.0, 0.0.3.0, 0.0.4.0, 0.0.5.0, 0.0.6.0, 0.0.7.0, 0.0.8.0, 0.0.9.0, 0.1.0.0
Change log	CHANGELOG.md
Dependencies	aeson, async, async-pool, base (>=4.21.0.0 && <4.22), data-default, fast-logger, lens, monad-logger, mtl, pms-domain-model, safe-exceptions, text, yaml [details]
License	Apache-2.0
Copyright	2025-2026 phoityne.hs@gmail.com
Author	phoityne.hs@gmail.com
Maintainer	phoityne.hs@gmail.com
Uploaded	by phoityne_hs at 2025-06-14T01:47:43Z
Category	AI
Home page	https://github.com/phoityne/pms-application-service
Bug tracker	https://github.com/phoityne/pms-application-service/issues
Distributions
Downloads	145 total (14 in the last 30 days)
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Status	Docs not available [build log] All reported builds failed as of 2025-06-14 [all 2 reports]

Readme for pms-application-service-0.0.2.0

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pms-application-service

pty-mcp-server is a multi-threaded application designed to handle multiple domain-specific tasks concurrently.
pms-application-service is one of its internal packages, responsible for coordinating core application logic and managing concurrent execution across threads.

This package interprets user-intent commands (parsed from JSON-RPC requests) and executes them within specific domain contexts.
It bridges structured input from the UI layer with the infrastructure layer's effectful operations, ensuring that requests are processed in a deterministic and decoupled manner.

In addition to command dispatching, pms-application-service manages the lifecycle of domain-aware applications and supervises their execution threads.
It provides the orchestration required to safely run multiple applications in parallel, maintaining responsiveness and isolation across concurrent tasks.