broccoliandClaude Fable 5
edfb216561
公开数据看板、四位 Key 录入面板、管理后台与三级权限、动态字段配置、 PostgreSQL/SQLite 双支持、数据库备份，以及本版新增的成品图上传与预览。 图片相关： - 录入表单支持相册选图与手机端直接拍照，每条记录最多 6 张 - 浏览器内压缩到最长边 1600 并剥离 EXIF，入库统一为 JPG/PNG - 二进制直接入库，现有备份自动覆盖图片，部署无需新增卷 - 详情页缩略图宫格与全屏 lightbox，公开看板同样可见 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
123 lines
5.1 KiB
Python
123 lines
5.1 KiB
Python
from __future__ import annotations
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from datetime import date
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from typing import Literal
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from .images import MAX_IMAGES_PER_RECORD
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RECORD_ONLY_FIELDS = {"custom_fields", "image_tokens", "image_ids"}
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class MaterialRecordInput(BaseModel):
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model_config = ConfigDict(str_strip_whitespace=True)
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experiment_id: str = Field(min_length=1, max_length=100)
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test_date: date
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material_category: str = Field(min_length=1, max_length=100)
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material_name: str = Field(min_length=1, max_length=200)
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apparent_density: float | None = Field(default=None, ge=0)
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uv_absorption_355nm: float | None = Field(default=None, ge=0, le=100)
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material_thickness: float = Field(gt=0)
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moisture_content: float | None = Field(default=None, ge=0, le=100)
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thermal_conductivity: float | None = Field(default=None, ge=0)
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initial_decomposition_temp: float | None = None
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melting_vaporization_temp: float | None = None
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specific_heat_capacity: float | None = Field(default=None, ge=0)
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carbon_residue_rate: float | None = Field(default=None, ge=0, le=100)
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surface_roughness: float | None = Field(default=None, ge=0)
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hardness: float | None = Field(default=None, ge=0)
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actual_output_power: float = Field(ge=0)
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display_current: float = Field(ge=0)
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scanning_speed: float = Field(gt=0)
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pulse_frequency: float = Field(ge=0)
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pulse_width: float = Field(ge=0)
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defocus_amount: float
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scan_line_spacing: float = Field(gt=0)
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filling_method: str = Field(min_length=1, max_length=100)
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processing_size: str = Field(min_length=1, max_length=100)
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is_cut_through: bool
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carbonized_edge_width: float = Field(ge=0)
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etching_depth: float = Field(ge=0)
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is_fire_smolder: bool
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pattern_clarity_score: float = Field(ge=0, le=10)
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presentation_balance_score: float = Field(ge=0, le=10)
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finished_image_filename: str = Field(min_length=1, max_length=255)
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remarks: str = Field(min_length=1, max_length=5000)
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custom_fields: dict[str, str | float | int | bool | None] = Field(default_factory=dict)
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image_tokens: list[str] = Field(default_factory=list, max_length=MAX_IMAGES_PER_RECORD)
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# 省略 image_ids 表示"不动既有图片"，显式传 [] 才是"全部删除"。默认值若是 []，
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# 任何不了解图片字段的旧页面或外部脚本，一次 PUT 就会静默删光整条记录的图。
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image_ids: list[int] | None = Field(default=None, max_length=MAX_IMAGES_PER_RECORD)
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@field_validator("experiment_id", "material_category", "material_name", "filling_method", "processing_size", "finished_image_filename", "remarks")
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@classmethod
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def reject_blank(cls, value: str) -> str:
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if not value.strip():
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raise ValueError("不能为空")
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return value.strip()
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@field_validator("image_tokens")
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@classmethod
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def validate_image_tokens(cls, values: list[str]) -> list[str]:
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cleaned = [value.strip() for value in values if value.strip()]
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if len(cleaned) != len(set(cleaned)):
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raise ValueError("上传令牌重复")
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if any(len(value) > 64 for value in cleaned):
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raise ValueError("上传令牌格式错误")
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return cleaned
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@field_validator("image_ids")
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@classmethod
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def validate_image_ids(cls, values: list[int] | None) -> list[int] | None:
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if values is None:
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return None
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if len(values) != len(set(values)):
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raise ValueError("图片编号重复")
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if any(value <= 0 for value in values):
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raise ValueError("图片编号无效")
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return values
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@model_validator(mode="after")
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def limit_total_images(self):
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if len(self.image_tokens) + len(self.image_ids or []) > MAX_IMAGES_PER_RECORD:
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raise ValueError(f"每条记录最多保留 {MAX_IMAGES_PER_RECORD} 张图片")
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return self
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class EntryRecordSubmission(MaterialRecordInput):
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confirm_username: str = Field(min_length=1, max_length=64)
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FieldInputType = Literal["text", "long_text", "number", "integer", "date", "boolean", "select"]
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class CustomFieldDefinitionInput(BaseModel):
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model_config = ConfigDict(str_strip_whitespace=True)
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label: str = Field(min_length=1, max_length=100)
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input_type: FieldInputType
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is_required: bool = False
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is_active: bool = True
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is_public: bool = True
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unit: str | None = Field(default=None, max_length=50)
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options: list[str] = Field(default_factory=list, max_length=50)
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sort_order: int = Field(default=0, ge=0, le=10000)
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@field_validator("options")
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@classmethod
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def validate_options(cls, values: list[str]) -> list[str]:
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cleaned = [value.strip() for value in values if value.strip()]
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if len(cleaned) != len(set(cleaned)):
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raise ValueError("选项不能重复")
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if any(len(value) > 100 for value in cleaned):
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raise ValueError("单个选项不能超过 100 个字符")
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return cleaned
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@field_validator("unit")
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@classmethod
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def normalize_unit(cls, value: str | None) -> str | None:
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return value.strip() or None if value is not None else None
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