feat(#63): 点位字典 CSV 导入+自动校验（复用内核 point_dict 校验器，增加 OPC 节点/模板级校验）
This commit is contained in:
@@ -0,0 +1,318 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""⑤.7 点位字典 CSV 导入 + 自动校验页面 —— issue #63 / PRD ⑤.7。
|
||||
|
||||
配置台的"导入页面"要解决：实施工程师拿着 DCS 点表（Excel 转 CSV）粘进配置台，
|
||||
**一次性看到所有问题**（表头错/量纲错/重复点号/采样率非正/协议非法/OPC 节点
|
||||
格式错），而不是改一条报一条。本模块是导入页面的后端引擎。
|
||||
|
||||
**复用而非重造**：点位字典的 schema/加载/校验（量纲/数据类型/采样率/重复点号/
|
||||
协议）已由内核 ``core/edge-gateway/point_dict``（loader/validator/schema）实现
|
||||
并被边缘网关正式使用。本模块在其基础上增加**配置台专属**校验维度：
|
||||
|
||||
1. OPC 节点格式校验（OPC UA 节点须形如 ``ns=<数字>;s=<名>`` 或 PLC 寄存器
|
||||
``holding:<数字>`` / ``coil:<数字>``，与 simulator/opcua 驱动约定一致）；
|
||||
2. 表头列顺序严格对齐（实施工程师照表填列，列序错位是高频错误）；
|
||||
3. 行级结果聚合为 ``ImportRowIssue``（行号 + 严重级别 + 问题 + 修复建议），
|
||||
供配置台前端逐行渲染、按严重级别过滤；
|
||||
4. 模板选择（resin/ti）：不同行业模板的合法量纲集合不同（如树脂含 rpm/mmol·g⁻¹），
|
||||
导入时按模板切换校验基线。
|
||||
|
||||
零运行时依赖：复用 ``point_dict`` 子包（纯标准库 csv/dataclass）。
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import re
|
||||
from dataclasses import dataclass, field
|
||||
from enum import Enum
|
||||
from typing import Dict, List, Optional, Tuple
|
||||
|
||||
# 复用内核 edge-gateway 的点位字典加载/校验（schema/validator/loader）
|
||||
# 在 tests/_bootstrap.py 中已把 core/edge-gateway 加入 sys.path，
|
||||
# 故此处以顶层包 point_dict 引用（与 edge-gateway 自身测试一致）。
|
||||
from point_dict import ( # noqa: E402
|
||||
CSV_HEADERS,
|
||||
VALID_PROTOCOLS,
|
||||
VALID_UNITS,
|
||||
Point,
|
||||
PointDict,
|
||||
load_point_dict_csv,
|
||||
)
|
||||
from point_dict import schema as _pd_schema # noqa: E402
|
||||
|
||||
|
||||
class Severity(str, Enum):
|
||||
"""问题严重级别（配置台前端据此着色/过滤）。"""
|
||||
|
||||
ERROR = "error" # 阻断：不修复无法入库
|
||||
WARN = "warn" # 警告：可入库但建议复核（如 OPC 节点为空）
|
||||
|
||||
|
||||
class TemplateKind(str, Enum):
|
||||
"""行业模板（决定合法量纲等校验基线）。"""
|
||||
|
||||
TI = "ti" # 氯化/化工通用（templates/ti-cl4）
|
||||
RESIN = "resin" # 吸附树脂（templates/resin，含 rpm / mmol/g）
|
||||
|
||||
|
||||
# OPC 节点格式（与 simulator/opcua/s7 驱动约定一致）：
|
||||
# ns=2;s=CLF.Temp —— OPC UA 节点（namespace + 字符串 id）
|
||||
# holding:40010 / coil:1 —— Modbus 寄存器（保持/线圈 + 地址）
|
||||
_OPC_UA_RE = re.compile(r"^ns=\d+;s=[^\s,]+$")
|
||||
_MODBUS_RE = re.compile(r"^(holding|coil|input|discrete):(\d+)$")
|
||||
|
||||
|
||||
def _unit_set(template: TemplateKind) -> set:
|
||||
"""按模板返回合法量纲集合（树脂含 rpm/mmol·g⁻¹ 等扩展）。"""
|
||||
base = set(VALID_UNITS)
|
||||
if template == TemplateKind.RESIN:
|
||||
# VALID_UNITS 已含树脂扩展（rpm/mmol/g），直接复用
|
||||
return base
|
||||
# ti 模板：移除树脂专属量纲，避免化工模板误用树脂量纲
|
||||
base.discard("rpm")
|
||||
base.discard("mmol/g")
|
||||
return base
|
||||
|
||||
|
||||
@dataclass
|
||||
class ImportRowIssue:
|
||||
"""导入页一行的问题（行号 + 严重级别 + 问题 + 修复建议，可解释）。"""
|
||||
|
||||
row: int # CSV 行号（表头=1，数据从 2 起）
|
||||
severity: Severity
|
||||
code: str # 错误码（对齐 point_dict.validator 的 code + 本模块扩展）
|
||||
message: str # 问题描述
|
||||
suggestion: str = "" # 修复建议（供配置台"一键修复"提示）
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
return {
|
||||
"row": self.row, "severity": self.severity.value,
|
||||
"code": self.code, "message": self.message,
|
||||
"suggestion": self.suggestion,
|
||||
}
|
||||
|
||||
|
||||
@dataclass
|
||||
class ImportReport:
|
||||
"""导入校验报告（配置台导入页面数据模型）。"""
|
||||
|
||||
template: TemplateKind
|
||||
total_rows: int = 0 # 数据行数
|
||||
issues: List[ImportRowIssue] = field(default_factory=list)
|
||||
loaded_points: int = 0 # 成功加载的点数
|
||||
file_path: str = ""
|
||||
|
||||
@property
|
||||
def ok(self) -> bool:
|
||||
"""无 ERROR 级问题即可入库（WARN 不阻断）。"""
|
||||
return not any(i.severity == Severity.ERROR for i in self.issues)
|
||||
|
||||
@property
|
||||
def error_count(self) -> int:
|
||||
return sum(1 for i in self.issues if i.severity == Severity.ERROR)
|
||||
|
||||
@property
|
||||
def warn_count(self) -> int:
|
||||
return sum(1 for i in self.issues if i.severity == Severity.WARN)
|
||||
|
||||
def summary(self) -> str:
|
||||
"""人类可读汇总（配置台导入结果横幅）。"""
|
||||
status = "通过" if self.ok else "未通过"
|
||||
return (f"导入校验{status}：{self.loaded_points} 点 / "
|
||||
f"{self.total_rows} 行，错误 {self.error_count}，警告 {self.warn_count}")
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
return {
|
||||
"template": self.template.value,
|
||||
"total_rows": self.total_rows,
|
||||
"loaded_points": self.loaded_points,
|
||||
"ok": self.ok,
|
||||
"error_count": self.error_count,
|
||||
"warn_count": self.warn_count,
|
||||
"summary": self.summary(),
|
||||
"issues": [i.to_dict() for i in self.issues],
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 校验扩展
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def _validate_opc_node(point: Point) -> List[ImportRowIssue]:
|
||||
"""OPC 节点格式校验（配置台扩展维度）。
|
||||
|
||||
约定（与驱动注册表对齐）：
|
||||
- 协议 opcua：节点须匹配 ``ns=<数字>;s=<名>``；
|
||||
- 协议 modbus：节点须匹配 ``holding/coil/input/discrete:<数字>``；
|
||||
- 协议 simulator：节点可空，或任意上述格式（演示用，宽松）；
|
||||
- 节点为空：WARN（可入库但运行时无法采集，建议补全）。
|
||||
"""
|
||||
out: List[ImportRowIssue] = []
|
||||
node = (point.opc_node or "").strip()
|
||||
if not node:
|
||||
out.append(ImportRowIssue(
|
||||
row=point.row_number, severity=Severity.WARN, code="empty_opc_node",
|
||||
message=f"第{point.row_number}行 opcNode 为空",
|
||||
suggestion="运行时无法采集，建议补全 OPC UA 节点或 PLC 寄存器地址",
|
||||
))
|
||||
return out
|
||||
|
||||
proto = (point.protocol or "").lower()
|
||||
ok_ua = bool(_OPC_UA_RE.match(node))
|
||||
ok_mb = bool(_MODBUS_RE.match(node))
|
||||
if proto == "opcua" and not ok_ua:
|
||||
out.append(ImportRowIssue(
|
||||
row=point.row_number, severity=Severity.ERROR, code="bad_opc_node",
|
||||
message=(f"第{point.row_number}行 opcNode '{node}' 不符合 OPC UA "
|
||||
f"格式 ns=<ns>;s=<name>"),
|
||||
suggestion="示例：ns=2;s=CLF.Temp",
|
||||
))
|
||||
elif proto == "modbus" and not ok_mb:
|
||||
out.append(ImportRowIssue(
|
||||
row=point.row_number, severity=Severity.ERROR, code="bad_opc_node",
|
||||
message=(f"第{point.row_number}行 opcNode '{node}' 不符合 Modbus "
|
||||
f"格式 holding/coil/input/discrete:<addr>"),
|
||||
suggestion="示例：holding:40010",
|
||||
))
|
||||
elif proto not in ("opcua", "modbus") and not (ok_ua or ok_mb):
|
||||
# simulator/s7/... 节点为空已 WARN；非空但格式都不符则 WARN（宽松）
|
||||
out.append(ImportRowIssue(
|
||||
row=point.row_number, severity=Severity.WARN, code="bad_opc_node",
|
||||
message=(f"第{point.row_number}行 opcNode '{node}' 既非 OPC UA 也非 "
|
||||
f"Modbus 格式"),
|
||||
suggestion="确认节点格式或清空（演示协议可空）",
|
||||
))
|
||||
return out
|
||||
|
||||
|
||||
def _validate_header_order(headers: List[str]) -> List[ImportRowIssue]:
|
||||
"""表头列顺序严格对齐（列序错位是实施工程师高频错误）。"""
|
||||
out: List[ImportRowIssue] = []
|
||||
if not headers:
|
||||
out.append(ImportRowIssue(
|
||||
row=1, severity=Severity.ERROR, code="empty_header",
|
||||
message="CSV 缺少表头行",
|
||||
suggestion=f"表头应为：{','.join(CSV_HEADERS)}",
|
||||
))
|
||||
return out
|
||||
missing = [h for h in CSV_HEADERS if h not in headers]
|
||||
for h in missing:
|
||||
out.append(ImportRowIssue(
|
||||
row=1, severity=Severity.ERROR, code="missing_column",
|
||||
message=f"表头缺少必填列：{h}",
|
||||
suggestion=f"补列 {h}（完整表头：{','.join(CSV_HEADERS)}）",
|
||||
))
|
||||
if headers[: len(CSV_HEADERS)] != CSV_HEADERS and not missing:
|
||||
out.append(ImportRowIssue(
|
||||
row=1, severity=Severity.WARN, code="bad_column_order",
|
||||
message=f"表头列顺序与标准不一致：{headers}",
|
||||
suggestion=f"标准顺序：{','.join(CSV_HEADERS)}",
|
||||
))
|
||||
return out
|
||||
|
||||
|
||||
def _convert_validator_issues(report: "object", severity_for: Dict[str, Severity]) -> List[ImportRowIssue]:
|
||||
"""把内核 validator.ValidationReport.issues 转成 ImportRowIssue。"""
|
||||
out: List[ImportRowIssue] = []
|
||||
for it in getattr(report, "issues", []):
|
||||
sev = severity_for.get(it.code, Severity.ERROR)
|
||||
out.append(ImportRowIssue(
|
||||
row=it.row, severity=sev, code=it.code, message=it.message,
|
||||
))
|
||||
return out
|
||||
|
||||
|
||||
# 内核 validator 错误码 → 严重级别映射
|
||||
_SEVERITY_MAP: Dict[str, Severity] = {
|
||||
"missing_column": Severity.ERROR,
|
||||
"missing_field": Severity.ERROR,
|
||||
"bad_unit": Severity.ERROR,
|
||||
"bad_data_type": Severity.ERROR,
|
||||
"bad_sample_rate": Severity.ERROR,
|
||||
"bad_protocol": Severity.ERROR,
|
||||
"dup_point": Severity.ERROR,
|
||||
}
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# 导入入口
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def import_csv(
|
||||
path: str,
|
||||
template: TemplateKind = TemplateKind.TI,
|
||||
extra_unit_check: bool = True,
|
||||
) -> Tuple[PointDict, ImportReport]:
|
||||
"""导入并校验点位字典 CSV（配置台导入页面后端入口）。
|
||||
|
||||
Args:
|
||||
path: CSV 文件路径（UTF-8，9 列表头）；
|
||||
template: 行业模板（决定合法量纲集合，resin/ti）；
|
||||
extra_unit_check: 是否按模板收窄量纲集合做额外校验。
|
||||
|
||||
Returns:
|
||||
(PointDict, ImportReport)：加载的点位模型 + 校验报告。
|
||||
报告 ``ok`` 为 True 即可入库；WARN 不阻断。
|
||||
"""
|
||||
report = ImportReport(template=template, file_path=path)
|
||||
|
||||
# 1) 表头校验（先读表头行）
|
||||
import csv as _csv
|
||||
with open(path, "r", encoding="utf-8-sig") as fh:
|
||||
reader = _csv.reader(fh)
|
||||
rows = list(reader)
|
||||
headers = [c.strip() for c in rows[0]] if rows else []
|
||||
report.issues.extend(_validate_header_order(headers))
|
||||
|
||||
# 2) 加载 + 内核校验（量纲/数据类型/采样率/重复点号/协议）
|
||||
point_dict = load_point_dict_csv(path)
|
||||
report.loaded_points = len(point_dict)
|
||||
report.total_rows = len(point_dict.points)
|
||||
|
||||
from point_dict.validator import validate_point_dict
|
||||
kernel_report = validate_point_dict(point_dict, headers)
|
||||
report.issues.extend(_convert_validator_issues(kernel_report, _SEVERITY_MAP))
|
||||
|
||||
# 3) 模板级量纲收窄（resin 才允许 rpm/mmol·g⁻¹）
|
||||
if extra_unit_check:
|
||||
allowed_units = _unit_set(template)
|
||||
for p in point_dict.points:
|
||||
if p.unit and p.unit not in allowed_units:
|
||||
# 内核 validator 已按全集校验过；这里只补充模板级差异提示
|
||||
if p.unit in ("rpm", "mmol/g") and template == TemplateKind.TI:
|
||||
report.issues.append(ImportRowIssue(
|
||||
row=p.row_number, severity=Severity.ERROR,
|
||||
code="template_unit_mismatch",
|
||||
message=(f"第{p.row_number}行 量纲 '{p.unit}' 为树脂模板专属，"
|
||||
f"当前导入的是 {template.value} 模板"),
|
||||
suggestion="切换模板为 resin，或修正量纲",
|
||||
))
|
||||
|
||||
# 4) OPC 节点格式校验（配置台扩展）
|
||||
for p in point_dict.points:
|
||||
report.issues.extend(_validate_opc_node(p))
|
||||
|
||||
# 行号排序，便于配置台逐行展示
|
||||
report.issues.sort(key=lambda i: (i.row, i.code))
|
||||
return point_dict, report
|
||||
|
||||
|
||||
def import_csv_string(
|
||||
content: str,
|
||||
template: TemplateKind = TemplateKind.TI,
|
||||
encoding: str = "utf-8",
|
||||
) -> Tuple[PointDict, ImportReport]:
|
||||
"""从 CSV 文本导入（配置台粘贴框场景，落临时文件后复用 import_csv）。"""
|
||||
import tempfile
|
||||
tmp = tempfile.NamedTemporaryFile(
|
||||
mode="w", encoding=encoding, suffix=".csv", delete=False)
|
||||
try:
|
||||
tmp.write(content)
|
||||
tmp.flush()
|
||||
tmp.close()
|
||||
return import_csv(tmp.name, template=template)
|
||||
finally:
|
||||
try:
|
||||
os.unlink(tmp.name)
|
||||
except OSError:
|
||||
pass
|
||||
@@ -0,0 +1,228 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""点位字典 CSV 导入 + 自动校验测试（issue #63）。
|
||||
|
||||
覆盖：
|
||||
1. 合法 CSV 导入通过（ti / resin 两套模板）；
|
||||
2. 表头校验（缺失列 / 列序错位）；
|
||||
3. 内核校验复用（量纲/数据类型/采样率/重复点号/协议）；
|
||||
4. OPC 节点格式校验（opcua/modbus/空）；
|
||||
5. 模板级量纲收窄（rpm 仅 resin 允许）；
|
||||
6. 报告 ok/汇总/字典化 + 粘贴框入口。
|
||||
"""
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
import unittest
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
import _bootstrap # noqa: F401
|
||||
|
||||
from template_console.point_importer import ( # noqa: E402
|
||||
ImportReport,
|
||||
ImportRowIssue,
|
||||
Severity,
|
||||
TemplateKind,
|
||||
import_csv,
|
||||
import_csv_string,
|
||||
)
|
||||
|
||||
GOOD_TI = """device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol
|
||||
CLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,ns=2;s=CLF.Temp,opcua
|
||||
CLF-01,CLF-01.PRES,炉压,kPa,float,1000,true,ns=2;s=CLF.Pres,opcua
|
||||
"""
|
||||
|
||||
GOOD_RESIN = """device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol
|
||||
R-801,R-801.TEMP,反应釜温度,℃,float,1000,true,ns=2;s=R801.Temp,opcua
|
||||
R-801,R-801.AGIT,搅拌转速,rpm,float,1000,true,ns=2;s=R801.Agit,opcua
|
||||
"""
|
||||
|
||||
BAD_MULTI = """device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol
|
||||
CLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,badnode,opcua
|
||||
CLF-01,CLF-01.TEMP,炉压,kPa,badtype,0,true,ns=2;s=CLF.Pres,opcua
|
||||
CLF-01,CLF-01.PRES,炉压,kPa,float,500,true,holding:40010,modbus
|
||||
"""
|
||||
|
||||
|
||||
class _TmpCsv:
|
||||
"""临时 CSV 文件助手。"""
|
||||
|
||||
def __init__(self, content):
|
||||
self._tmp = tempfile.mkdtemp()
|
||||
self.path = os.path.join(self._tmp, "points.csv")
|
||||
with open(self.path, "w", encoding="utf-8") as fh:
|
||||
fh.write(content)
|
||||
|
||||
def cleanup(self):
|
||||
import shutil
|
||||
shutil.rmtree(self._tmp, ignore_errors=True)
|
||||
|
||||
|
||||
class GoodImportTest(unittest.TestCase):
|
||||
"""合法 CSV 导入。"""
|
||||
|
||||
def test_good_ti_imports_ok(self):
|
||||
f = _TmpCsv(GOOD_TI)
|
||||
try:
|
||||
pd, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertTrue(rep.ok, rep.summary())
|
||||
self.assertEqual(rep.loaded_points, 2)
|
||||
self.assertEqual(rep.error_count, 0)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_good_resin_imports_ok_with_rpm(self):
|
||||
f = _TmpCsv(GOOD_RESIN)
|
||||
try:
|
||||
pd, rep = import_csv(f.path, template=TemplateKind.RESIN)
|
||||
self.assertTrue(rep.ok, rep.summary())
|
||||
# rpm 在 resin 模板合法
|
||||
self.assertEqual(rep.error_count, 0)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_report_summary_and_dict(self):
|
||||
f = _TmpCsv(GOOD_TI)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertIn("通过", rep.summary())
|
||||
d = rep.to_dict()
|
||||
self.assertTrue(d["ok"])
|
||||
self.assertEqual(d["template"], "ti")
|
||||
self.assertEqual(d["loaded_points"], 2)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
|
||||
class HeaderValidationTest(unittest.TestCase):
|
||||
"""表头校验。"""
|
||||
|
||||
def test_missing_column_is_error(self):
|
||||
bad = "device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode\nCLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,ns=2;s=CLF.Temp\n"
|
||||
f = _TmpCsv(bad)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertFalse(rep.ok)
|
||||
codes = [i.code for i in rep.issues if i.row == 1]
|
||||
self.assertIn("missing_column", codes)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_wrong_column_order_is_warn(self):
|
||||
# 列齐全但顺序错（name 提前）→ WARN，不阻断
|
||||
bad = "device_id,point_id,name,unit,dataType,sampleRate,qualityCode,protocol,opcNode\nCLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,opcua,ns=2;s=CLF.Temp\n"
|
||||
f = _TmpCsv(bad)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertIn("bad_column_order", [i.code for i in rep.issues])
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
|
||||
class KernelValidationTest(unittest.TestCase):
|
||||
"""复用内核校验（量纲/数据类型/采样率/重复点号）。"""
|
||||
|
||||
def test_dup_point_detected(self):
|
||||
bad = GOOD_TI + "CLF-01,CLF-01.TEMP,炉温2,℃,float,1000,true,ns=2;s=CLF.Temp2,opcua\n"
|
||||
f = _TmpCsv(bad)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertFalse(rep.ok)
|
||||
self.assertIn("dup_point", [i.code for i in rep.issues])
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_bad_data_type_and_sample_rate(self):
|
||||
f = _TmpCsv(BAD_MULTI)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
codes = [i.code for i in rep.issues]
|
||||
self.assertIn("bad_data_type", codes)
|
||||
self.assertIn("bad_sample_rate", codes)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_bad_protocol_detected(self):
|
||||
bad = "device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol\nCLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,ns=2;s=CLF.Temp,unknownproto\n"
|
||||
f = _TmpCsv(bad)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertIn("bad_protocol", [i.code for i in rep.issues])
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
|
||||
class OpcNodeValidationTest(unittest.TestCase):
|
||||
"""OPC 节点格式校验（配置台扩展维度）。"""
|
||||
|
||||
def test_bad_opcua_node_is_error(self):
|
||||
# BAD_MULTI 第1行 opcNode=badnode 协议 opcua → ERROR
|
||||
f = _TmpCsv(BAD_MULTI)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
opc_issues = [i for i in rep.issues if i.code == "bad_opc_node"]
|
||||
self.assertTrue(any(i.severity == Severity.ERROR for i in opc_issues))
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_valid_modbus_node_ok(self):
|
||||
# BAD_MULTI 第3行 holding:40010 modbus → 不报 bad_opc_node
|
||||
f = _TmpCsv("device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol\nCLF-01,CLF-01.PRES,炉压,kPa,float,500,true,holding:40010,modbus\n")
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
self.assertNotIn("bad_opc_node", [i.code for i in rep.issues
|
||||
if i.severity == Severity.ERROR])
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_empty_opc_node_is_warn(self):
|
||||
f = _TmpCsv("device_id,point_id,name,unit,dataType,sampleRate,qualityCode,opcNode,protocol\nCLF-01,CLF-01.TEMP,炉温,℃,float,1000,true,,simulator\n")
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
empties = [i for i in rep.issues if i.code == "empty_opc_node"]
|
||||
self.assertEqual(len(empties), 1)
|
||||
self.assertEqual(empties[0].severity, Severity.WARN)
|
||||
# 警告不阻断
|
||||
self.assertTrue(rep.ok)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
|
||||
class TemplateUnitTest(unittest.TestCase):
|
||||
"""模板级量纲收窄。"""
|
||||
|
||||
def test_rpm_rejected_in_ti_template(self):
|
||||
f = _TmpCsv(GOOD_RESIN)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.TI)
|
||||
# rpm 是树脂专属，ti 模板应报 template_unit_mismatch
|
||||
self.assertIn("template_unit_mismatch", [i.code for i in rep.issues])
|
||||
self.assertFalse(rep.ok)
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
def test_rpm_allowed_in_resin_template(self):
|
||||
f = _TmpCsv(GOOD_RESIN)
|
||||
try:
|
||||
_, rep = import_csv(f.path, template=TemplateKind.RESIN)
|
||||
self.assertNotIn("template_unit_mismatch", [i.code for i in rep.issues])
|
||||
self.assertTrue(rep.ok, rep.summary())
|
||||
finally:
|
||||
f.cleanup()
|
||||
|
||||
|
||||
class ImportStringTest(unittest.TestCase):
|
||||
"""粘贴框入口（import_csv_string）。"""
|
||||
|
||||
def test_import_from_string(self):
|
||||
pd, rep = import_csv_string(GOOD_TI, template=TemplateKind.TI)
|
||||
self.assertTrue(rep.ok)
|
||||
self.assertEqual(len(pd), 2)
|
||||
|
||||
def test_import_string_bad_csv(self):
|
||||
bad = "device_id,point_id\nCLF-01,CLF-01.TEMP\n" # 缺列
|
||||
_, rep = import_csv_string(bad, template=TemplateKind.TI)
|
||||
self.assertFalse(rep.ok)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user