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fquiz/api/tests/test_fl_analysis_external.py
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2026-06-07 20:37:53 +08:00

211 lines
7.8 KiB
Python

from __future__ import annotations
from types import SimpleNamespace
from sqlalchemy import create_engine, select
from sqlalchemy.orm import Session, sessionmaker
from app.core.database import Base
from app.models.atp_model import AtpModel, AtpModelVersion, AtpSimulationRun
from app.models.fl_analysis import FlAnalysisJob, FlAnalysisRun, FlAnalysisTowerResult, FlAnalysisTowerSnapshot
from app.models.line import Line
from app.models.line_tower import LineTower
from app.models.tower_profile import TowerProfile
from app.schemas.fl_analysis import FlAnalysisJobCreateRequest
from app.services import fl_analysis_external, fl_analysis_service
def _build_sessionmaker():
engine = create_engine("sqlite+pysqlite:///:memory:")
Base.metadata.create_all(
bind=engine,
tables=[
Line.__table__,
LineTower.__table__,
TowerProfile.__table__,
FlAnalysisJob.__table__,
FlAnalysisRun.__table__,
FlAnalysisTowerSnapshot.__table__,
FlAnalysisTowerResult.__table__,
AtpModel.__table__,
AtpModelVersion.__table__,
AtpSimulationRun.__table__,
],
)
return sessionmaker(bind=engine, autocommit=False, autoflush=False, expire_on_commit=False)
def test_render_atp_template_supports_binding_formats_and_defaults() -> None:
rendered = fl_analysis_external.render_atp_template(
"R={{GROUND_RES}}\nHEAD={{profile.current_head_time_us|F1|6|2.6}}\nNAME={{snapshot.tower_no}}",
context={
"snapshot": {"tower_no": "N-01"},
"base_tower": {"ground_resistance_ohm": 12.34},
"profile": {},
},
parameter_bindings={
"GROUND_RES": {
"path": "base_tower.ground_resistance_ohm",
"format": "F1",
"width": 6,
}
},
)
assert "R= 12.3" in rendered
assert "HEAD= 2.6" in rendered
assert "NAME=N-01" in rendered
def test_execute_job_runs_external_adapter_and_backfills_results(monkeypatch, tmp_path) -> None:
testing_session = _build_sessionmaker()
session: Session = testing_session()
try:
monkeypatch.setattr(fl_analysis_service, "SessionLocal", testing_session)
monkeypatch.setattr(fl_analysis_service, "_publish_change", lambda *args, **kwargs: None)
monkeypatch.setattr(fl_analysis_external, "_resolve_engine_workdir", lambda: tmp_path)
monkeypatch.setattr(fl_analysis_external, "_resolve_native_engine_executable", lambda: ("/bin/sh", None))
line = Line(
code="L-001",
name="示例线路",
voltage_kv=220,
lightning_param_json={"雷电流幅值a": 31.0, "雷电流幅值b": 2.6},
)
session.add(line)
session.flush()
tower = LineTower(
line_id=line.id,
seq_no=1,
tower_no="N1",
tower_model="220-TEST-ZX",
tower_type="直线",
altitude_m=1680.0,
ground_resistance_ohm=12.0,
lightning_density=3.2,
span_large_m=260.0,
slope_1=3.0,
slope_2=1.5,
circuit_geometry_json={
"I": {
"phase_spacing_m": {"upper": 9.0, "middle": 4.5, "lower": 8.5},
"phase_height_m": {"upper": 29.0, "middle": 31.0, "lower": 25.0},
},
"lightning_wire": {
"left_mid_distance_m": 9.0,
"right_mid_distance_m": 9.0,
"height_m": 41.0,
},
"insulator_length_mm": 4200.0,
},
lightning_result_json={},
)
session.add(tower)
session.flush()
session.add(
TowerProfile(
tower_id=tower.id,
structure_kind="直线",
arrester_a="是",
arrester_b="否",
arrester_c="是",
shield_wire_height_m=41.0,
insulator_length_m=4200.0,
current_a=31.0,
current_b=2.6,
current_type="Heidler",
current_head_time_us=2.6,
current_tail_time_us=50.0,
)
)
model = AtpModel(code="fl-normal-model", name="普通计算ATP模型", source_type="atp", status="enabled")
session.add(model)
session.flush()
session.add(
AtpModelVersion(
model_id=model.id,
version_no=1,
status="released",
entry_file="runner.sh",
artifact_manifest_json={
"fl_analysis": {
"result_file": "result.json",
"parameter_bindings": {
"GROUND_RES": {
"path": "base_tower.ground_resistance_ohm",
"format": "F1",
}
},
}
},
atp_text="""#!/bin/sh
cat > result.json <<'JSON'
{"counterstrike_withstand_ka": {{GROUND_RES}}, "risk_grade": 3, "score": 91, "summary_text": "ATP执行完成"}
JSON
""",
content_hash="normal-v1",
)
)
session.commit()
created = fl_analysis_service.create_job(
session,
FlAnalysisJobCreateRequest(
line_id=line.id,
job_name="普通计算-ATP",
job_type="normal",
external_adapter="atp",
adapter_config_json={"model_id": model.id},
execution_options_json={
"current_waveform": "double_slope",
"flashover_method": "intersection",
"altitude_correction": "formula1",
"induced_voltage_formula": "formula2",
"head_time_min_us": 2.4,
"head_time_max_us": 2.6,
"head_time_step_us": 0.2,
"tail_time_min_us": 45.0,
"tail_time_max_us": 50.0,
"tail_time_step_us": 5.0,
},
),
actor=SimpleNamespace(id="tester"),
)
session.close()
fl_analysis_service.execute_job(created.job.id)
verify_session: Session = testing_session()
try:
saved_job = fl_analysis_service.get_job_by_id(verify_session, created.job.id)
assert saved_job is not None
assert saved_job.status == "success"
assert saved_job.result_summary_json["adapter_status"] == "executed"
assert saved_job.result_summary_json["external_model_code"] == "fl-normal-model"
assert saved_job.result_summary_json["external_version_no"] == 1
result_row = verify_session.execute(
select(FlAnalysisTowerResult).where(FlAnalysisTowerResult.job_id == created.job.id)
).scalar_one()
assert result_row.risk_level == "high"
assert result_row.summary_text == "ATP执行完成"
assert result_row.result_json["counterstrike_withstand_ka"] == 12.0
assert result_row.result_json["external_execution"]["adapter"] == "atp"
assert result_row.result_json["external_execution"]["model_code"] == "fl-normal-model"
saved_run = verify_session.execute(
select(FlAnalysisRun).where(FlAnalysisRun.job_id == created.job.id)
).scalar_one()
assert saved_run.status == "success"
assert saved_run.runner_kind == "atp"
assert saved_run.engine_command is not None
assert saved_run.working_dir is not None
finally:
verify_session.close()
finally:
session.close()