midas-nx 0.9.1

Independent, unified Python SDK for the MIDAS NX Open API (Civil NX + Gen NX)

midas-nx

An independent, unified Python SDK for the MIDAS NX Open API (MIDAS Civil NX + MIDAS Gen NX).

Unlike MIDASIT's official midas-civil / midas-gen packages — separate, near-duplicated codebases per product, covering roughly a third of the documented API surface — midas_nx is a single package for both products, built directly against the endpoint schema documented at Dennis5882/MIDAS-API. See ROADMAP.md for what's implemented so far vs. planned.

This is an unofficial, community project — not affiliated with or endorsed by MIDASIT.

한국어 사용자를 위한 안내: midas-nx는 MIDAS Civil NX와 MIDAS Gen NX의 Open API를 하나의 Python 패키지로 통합해 감싼 비공식 커뮤니티 SDK입니다. MIDASIT의 공식 midas-civil/midas-gen 패키지가 제품별로 나뉘어 있고 문서화된 API 표면의 일부만 지원하는 것과 달리, midas-nx는 두 제품을 함께 다루며 MIDAS-API 매뉴얼 저장소에 문서화된 스펙을 기준으로 구현되어 있습니다. 설치는 pip install midas-nx, 사용 예시는 아래 "Quick start" 절을 참고하세요. 실제 Gen NX/Civil NX 세션으로 검증한 내용(주의할 점, 알려진 이슈)은 docs/live_verification_notes.md에 정리되어 있습니다.

繁體中文使用者指南：midas-nx 是將 MIDAS Civil NX 與 MIDAS Gen NX 的 Open API 整合為單一 Python 套件的非官方社群 SDK。與 MIDASIT 官方的 midas-civil/midas-gen 套件依產品分開、且僅涵蓋部分已文件化 API 不同，midas-nx 同時涵蓋兩種產品，並根據 MIDAS-API 手冊儲存庫 中記載的規格實作。 安裝方式為 pip install midas-nx，使用範例請參考下方「Quick start」章節。實際在 Gen NX / Civil NX 連線環境中驗證過的內容（注意事項、已知問題）整理於 docs/live_verification_notes.md。

简体中文使用指南：midas-nx 是将 MIDAS Civil NX 与 MIDAS Gen NX 的 Open API 整合为单一 Python 包的非官方社区 SDK。与 MIDASIT 官方的 midas-civil/midas-gen 包按产品拆分、且仅覆盖部分已文档化 API 不同，midas-nx 同时支持两种产品，并根据 MIDAS-API 手册仓库 中记载的规格实现。 安装方式为 pip install midas-nx，使用示例请参考下方"Quick start"章节。在实际 Gen NX / Civil NX 连接环境中验证过的内容（注意事项、已知问题）整理于 docs/live_verification_notes.md。

Use cases

• Automation — bulk-create or bulk-edit hundreds of section/material/load entries in one script instead of clicking through the GUI one member at a time.
• Data integration — pull structural data straight from Excel/pandas or a database into a live MIDAS model (or the reverse: pull model/result data out into your existing analysis pipeline).
• Design optimization — drive an optimization loop with Python's numeric/scientific stack (NumPy, SciPy, ...) against real analysis results, iterating section sizes or member layouts automatically.

Install

pip install midas-nx

To contribute or develop against a checkout:

pip install -e ".[dev]"

Quick start

from midas_nx import MidasClient, Product
from midas_nx import doc
from midas_nx.db.project import Unit
from midas_nx.db.properties.material import Material
from midas_nx.db.properties.section import Section
from midas_nx.db.node_element import Node, Element

client = MidasClient(mapi_key="your-mapi-key-here", product=Product.GEN)

doc.new_project(client=client)

Unit.update({1: {"DIST": "M", "FORCE": "TONF"}}, client=client)

Material.create({1: {
    "TYPE": "CONC", "NAME": "C32",
    "PARAM": [{"P_TYPE": 1, "STANDARD": "AS17(RC)", "DB": "C32"}],
}}, client=client)

Section.create({1: {
    "SECTTYPE": "DBUSER", "SECT_NAME": "H300x150",
    "SECT_BEFORE": {
        "SHAPE": "H", "OFFSET_PT": "CC", "DATATYPE": 1,
        "SECT_I": {"DB_NAME": "KS21", "SECT_NAME": "H300x150x6.5/9"},
    },
}}, client=client)

Node.create({
    1: {"X": 0, "Y": 0, "Z": 0},
    2: {"X": 0, "Y": 0, "Z": 3.2},
}, client=client)

Element.create({1: {
    "TYPE": "BEAM", "MATL": 1, "SECT": 1, "NODE": [1, 2], "ANGLE": 0,
}}, client=client)

doc.save(client=client)

Or use the low-level free function directly (same calling convention as the MIDAS-API manual repo's examples):

from midas_nx import configure, MidasAPI

configure(mapi_key="your-mapi-key-here", product="gen")
MidasAPI("POST", "/doc/NEW", {"Argument": {}})

Design

• Instance-based MidasClient — no global mutable state; errors raise typed exceptions (MidasAuthError, MidasNotFoundError, ...) instead of killing the process.
• Unified Gen/Civil — MidasClient(product=Product.GEN | Product.CIVIL); each resource class declares which product(s) it supports (PRODUCTS), and calling a Civil-only resource against a Gen client raises ProductMismatchError by default (strict_product=False to only warn).
• /db/* resources are DbResource subclasses with .create()/.get()/.update()/.delete() classmethods; TypedDict payload types document each endpoint's schema (from docs/manual/*.md in the sibling repo) for editor/type-checker support, without runtime payload validation — schemas are too conditional (see e.g. the Eurocode moving-load endpoint, 5 mutually-exclusive variants) for a one-size-fits-all validated model.
• /doc/* lifecycle endpoints are plain functions (doc.new_project(), doc.save(), ...) — not ID-keyed, wrapped in "Argument" rather than "Assign".

See docs/coverage.json / ROADMAP.md for the full endpoint list, what's implemented, and where new endpoints should go.

Testing

No live MIDAS Gen/Civil NX server is required — all tests mock HTTP via responses and assert request shape (URL, headers, JSON body) against what the manual documents.

pytest

Live verification notes

This package's request/response shapes are typed from the vendored manual and tested with mocked HTTP (see below) — but a subset of endpoints has also been exercised against real Gen NX / Civil NX sessions. Notable findings (a confirmed Gen NX application hang triggered by one specific design-check call, product-availability quirks not documented in the manual, a couple of "documented optional but actually required under X" server validation quirks) are written up in docs/live_verification_notes.md — most of the safe, actionable ones are also inlined as docstring warnings on the specific functions/fields involved, so help()/your editor will surface them directly.

Contributing

Pick an unimplemented endpoint from ROADMAP.md, follow the pattern in src/midas_nx/db/node_element.py (or doc.py for /doc/*//ope/*//view/*-style plain-function endpoints), and add a test mirroring tests/db/test_node_element.py. Mark it "implemented" in docs/coverage.json (see scripts/gen_roadmap.py) and regenerate ROADMAP.md.

License

MIT — see LICENSE.