chengkai3
142 lines
4.9 KiB
Python
142 lines
4.9 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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FlAnalysisJobType = Literal["normal", "tongtiao", "risk", "mitigation", "report", "scenario"]
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FlAnalysisJobStatus = Literal["pending", "queued", "running", "blocked", "success", "failed"]
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FlAnalysisRunStatus = Literal["pending", "running", "blocked", "success", "failed"]
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FlAnalysisAdapter = Literal["placeholder", "wine", "atp", "legacy_atp", "custom"]
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FlAnalysisCurrentWaveform = Literal["heidler", "double_slope", "double_exponential"]
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FlAnalysisFlashoverMethod = Literal["guideline", "intersection", "leader_development"]
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FlAnalysisAltitudeCorrection = Literal["none", "formula1", "formula2"]
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FlAnalysisInducedVoltageFormula = Literal["formula1", "formula2"]
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class FlAnalysisWaveformExecutionOptions(BaseModel):
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current_waveform: FlAnalysisCurrentWaveform = "heidler"
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flashover_method: FlAnalysisFlashoverMethod = "intersection"
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altitude_correction: FlAnalysisAltitudeCorrection = "none"
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induced_voltage_formula: FlAnalysisInducedVoltageFormula = "formula1"
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head_time_min_us: float = 2.6
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head_time_max_us: float = 2.6
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head_time_step_us: float = 0.1
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tail_time_min_us: float = 50.0
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tail_time_max_us: float = 50.0
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tail_time_step_us: float = 1.0
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class FlAnalysisRunSummary(BaseModel):
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id: str
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job_id: str
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status: FlAnalysisRunStatus
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runner_kind: FlAnalysisAdapter | str
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engine_command: str | None = None
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working_dir: str | None = None
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error_message: str | None = None
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snapshot_tower_count: int = 0
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result_tower_count: int = 0
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duration_ms: int | None = None
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started_at: datetime | None = None
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finished_at: datetime | None = None
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create_date: datetime
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create_user: str | None = None
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update_date: datetime
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update_user: str | None = None
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class FlAnalysisJobSummary(BaseModel):
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id: str
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line_id: str
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line_code: str | None = None
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line_name: str | None = None
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job_name: str | None = None
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job_type: FlAnalysisJobType | str
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source_kind: str
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status: FlAnalysisJobStatus | str
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task_id: str | None = None
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latest_run_id: str | None = None
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total_tower_count: int = 0
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snapshotted_tower_count: int = 0
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result_tower_count: int = 0
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external_adapter: FlAnalysisAdapter | str
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adapter_config_json: dict[str, Any] = Field(default_factory=dict)
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execution_options_json: dict[str, Any] = Field(default_factory=dict)
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result_summary_json: dict[str, Any] = Field(default_factory=dict)
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error_message: str | None = None
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started_at: datetime | None = None
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finished_at: datetime | None = None
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create_date: datetime
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create_user: str | None = None
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update_date: datetime
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update_user: str | None = None
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class FlAnalysisJobDetail(FlAnalysisJobSummary):
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runs: list[FlAnalysisRunSummary] = Field(default_factory=list)
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class FlAnalysisJobListResponse(BaseModel):
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items: list[FlAnalysisJobSummary]
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total: int
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class FlAnalysisJobCreateRequest(BaseModel):
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line_id: str = Field(min_length=1, max_length=64)
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job_name: str | None = Field(default=None, min_length=1, max_length=255)
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job_type: FlAnalysisJobType = "normal"
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external_adapter: FlAnalysisAdapter = "placeholder"
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adapter_config_json: dict[str, Any] = Field(
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default_factory=dict,
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description=(
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"normal/tongtiao 任务在 external_adapter=atp/wine 时可传 model_id、version_id/version_no、"
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"result_file、parameter_bindings 等 ATP 执行配置；"
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"external_adapter=legacy_atp 时可传 model_root、template_id/template_subdir、calculation_mode、"
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"use_egm、feature_bindings、result_file 等旧 ATP/EGM 资产配置。"
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),
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)
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execution_options_json: dict[str, Any] = Field(
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default_factory=dict,
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description=(
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"normal/tongtiao 任务可传波形、闪络判据以及波头/波尾扫描参数；"
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"mitigation 任务可传 source_job_id、selected_tower_ids、non_construction；"
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"scenario 任务可传 source_job_id、base_job_id、selected_tower_ids；"
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"report 任务可传 source_job_id、selected_tower_ids。"
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),
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)
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class FlAnalysisJobCreateResponse(BaseModel):
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job: FlAnalysisJobDetail
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class FlAnalysisJobStartResponse(BaseModel):
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job: FlAnalysisJobDetail
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queued: bool = True
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class FlAnalysisTowerResultSummary(BaseModel):
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id: str
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job_id: str
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run_id: str
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snapshot_id: str
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tower_id: str
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seq_no: int
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tower_no: str
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tower_model: str | None = None
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tower_type: str | None = None
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status: str
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risk_level: str | None = None
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summary_text: str | None = None
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result_json: dict[str, Any] = Field(default_factory=dict)
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create_date: datetime
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update_date: datetime
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class FlAnalysisTowerResultListResponse(BaseModel):
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items: list[FlAnalysisTowerResultSummary]
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total: int
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