eomsangdonandClaude Opus 5.5
fabc033c53
- 종류 셋(table · drawing · structure) · 뼈대 검사 한 벌(도면.entities · 산출근거.열)
- POST /api/m02/structures/{열 id} — A1 도각 + 빈 산출근거 표(머리 다섯) · 도번 = 있는 것 중 가장 큰 번호 + 1 · 있으면 409 · 없는 열 404
- GET /api/m02/structures/numbers — {열 id: 도번}
- Api_Fetch — Kind 에 structure · StructureDoc · listStructures · createStructure · fetchStructureNumbers
- 폴더 resources/master_template/structure/ · 시험 test_m02_structure.py
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014yTsevyL7QysasVVgWW7vW
94 lines
4.2 KiB
Python
94 lines
4.2 KiB
Python
"""M02 구조물 도면(structure) — 새로 · 도번 자동 · 409 · 저장 · 지운 뒤 번호 · 프로젝트 복사."""
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import shutil
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import pytest
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from fastapi import FastAPI
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from fastapi.testclient import TestClient
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from M02_MasterTemplete import M02_MasterTemplete_Store as store
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from M02_MasterTemplete import M02_Template_Layers as layers
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from M02_MasterTemplete.M02_MasterTemplete_Router import router
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REAL = store.FOLDER
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@pytest.fixture()
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def client(tmp_path, monkeypatch):
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for kind in store.KINDS:
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(tmp_path / kind).mkdir()
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shutil.copy(REAL / "table/구조물집계표.json", tmp_path / "table")
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shutil.copy(REAL / "drawing/00_template_A1.json", tmp_path / "drawing")
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monkeypatch.setattr(store, "FOLDER", tmp_path)
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app = FastAPI()
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app.include_router(router)
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return TestClient(app)
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def test_새로_도번_자동_409_없는_열(client):
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made = client.post("/api/m02/structures/pp_len")
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assert made.status_code == 200
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doc = made.json()["문서"]
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assert (doc["양식"], doc["종류"], doc["열"], doc["도번"]) == (
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"구조물도면",
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"structure",
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"pp_len",
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"구-01",
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)
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assert (
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doc["도면"]["entities"] and doc["도면"] == store.read("drawing", "00_template_A1")["문서"]
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)
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basis = doc["산출근거"]
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assert [c["머리"][0] for c in basis["열"]] == ["공종", "규격", "산출 내역", "단위", "수량(m당)"]
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assert basis["줄"] == [] and basis["종류"] == "표"
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assert client.post("/api/m02/structures/rv").json()["문서"]["도번"] == "구-02"
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assert client.post("/api/m02/structures/pp_len").status_code == 409
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assert client.post("/api/m02/structures/없는열").status_code == 404
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assert client.get("/api/m02/structures/numbers").json() == {"pp_len": "구-01", "rv": "구-02"}
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rows = client.get("/api/m02/templates").json()
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assert {(r["종류"], r["이름"]) for r in rows if r["종류"] == "structure"} == {
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("structure", "pp_len"),
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("structure", "rv"),
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}
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def test_저장_뼈대_거름(client):
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got = client.post("/api/m02/structures/pp_len").json()
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doc = got["문서"]
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doc["산출근거"]["줄"] = [{"id": "r1", "값": {"work": "관 부설"}}]
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saved = client.put("/api/m02/templates/structure/pp_len", json={"판": got["판"], "문서": doc})
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assert saved.status_code == 200 and saved.json()["판"] != got["판"]
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for bad in ({}, {**doc, "도면": {}}, {**doc, "산출근거": {"열": "x"}}, {**doc, "도면": []}):
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r = client.put(
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"/api/m02/templates/structure/pp_len", json={"판": saved.json()["판"], "문서": bad}
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)
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assert r.status_code == 400
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assert client.get("/api/m02/templates/structure/pp_len").json()["문서"] == doc
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def test_지워도_번호를_당기지_않음(client):
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for column in ("pp_len", "rv", "ms"):
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client.post(f"/api/m02/structures/{column}")
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assert client.delete("/api/m02/templates/structure/pp_len").status_code == 200
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assert client.get("/api/m02/structures/numbers").json() == {"rv": "구-02", "ms": "구-03"}
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assert client.post("/api/m02/structures/fb").json()["문서"]["도번"] == "구-04"
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# 가장 큰 번호를 지우면 그 번호부터 다시(있는 것 중 가장 큰 번호 + 1)
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client.delete("/api/m02/templates/structure/fb")
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assert client.post("/api/m02/structures/ec").json()["문서"]["도번"] == "구-04"
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def test_프로젝트_복사와_층_저장에_실림(client, tmp_path, monkeypatch):
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doc = client.post("/api/m02/structures/pp_len").json()["문서"]
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monkeypatch.setattr(layers, "SYSTEM_ROOT", tmp_path)
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project = tmp_path / "project"
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copied = layers.seed_project(project)
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assert "structure/pp_len" in copied["작업본"] and "structure/pp_len" in copied["초기"]
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work = layers.project_dir(project)
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assert layers.read_template(work, "structure", "pp_len")["문서"] == doc
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assert layers.read_template(layers.initial_dir(project), "structure", "pp_len")["문서"] == doc
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assert ("structure", "pp_len") in {(r["종류"], r["이름"]) for r in layers.list_templates(work)}
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layers.check_skeleton("structure", doc)
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with pytest.raises(ValueError):
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layers.check_skeleton("structure", {**doc, "산출근거": None})
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