AcidMap/app/models/orm_models.py

# coding: utf-8
from sqlalchemy import ARRAY, Boolean, CheckConstraint, Column, Float, Integer, Numeric, String, Table, Text, text
from geoalchemy2.types import Geometry, Raster
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()
metadata = Base.metadata


class ConventionalLandInformation(Base):
    __tablename__ = 'Conventional_land_information'
    __table_args__ = {'comment': '常规土地信息'}

    Lon = Column(Float(53), primary_key=True, nullable=False, comment='经度-Long.(°)')
    Lat = Column(Float(53), primary_key=True, nullable=False, comment='纬度-Lat.(°)')
    Altitude = Column(Numeric, comment='海拔-Alt.(m)')
    Landform = Column(Text, comment='地貌类型')
    Landuse = Column(Text, comment='土地利用类型')
    Soiltype = Column(Text, comment='土壤类型')
    Lithologic_type = Column(Text, comment='岩性类型')


class PointInformation(Base):
    __tablename__ = 'Point_information'
    __table_args__ = {'comment': '点位信息'}

    Lon = Column(Float(53), nullable=False, comment='经度-Long.(°)')
    Lat = Column(Float(53), nullable=False, comment='纬度-Lat.(°)')
    Province = Column(Text, nullable=False)
    City = Column(Text, comment='市')
    District = Column(Text, comment='县')
    Point_id = Column(Integer, primary_key=True, autoincrement=True, comment='唯一编码')


class FiftyThousandSurveyDatum(Base):
    """
    五万亩调查数据
    """
    __tablename__ = 'fifty_thousand_survey_data'
    __table_args__ = {'comment': '五万亩调查数据表'}

    gid = Column(Integer, primary_key=True, autoincrement=True, comment='主键ID')
    id = Column(Float(53), comment='编号')
    dwmc = Column(String(254), comment='点位原始编码')
    r_dwmc = Column(String(254), comment='点位重编码')
    lat = Column(Float(53), comment='位置信息-纬度')
    lon = Column(Float(53), comment='位置信息-经度')
    xmc = Column(String(254), comment='位置信息-县名称')
    zmc = Column(String(254), comment='位置信息-镇名称')
    cmc = Column(String(254), comment='位置信息-村名称')
    tql_cd = Column(Float(53), comment='土壤单全量-镉(mg/kg)')
    tql_as = Column(Float(53), comment='土壤单全量-砷(mg/kg)')
    tql_pb = Column(Float(53), comment='土壤单全量-铅(mg/kg)')
    ph = Column(Float(53), comment='pH值')
    zzm_cd = Column(Float(53), comment='早稻米-镉(mg/kg)')
    zzm_as = Column(Float(53), comment='早稻米-砷(mg/kg)')
    zzm_pb = Column(Float(53), comment='早稻米-铅(mg/kg)')
    wzm_cd = Column(Float(53), comment='晚稻米-镉(mg/kg)')
    wzm_as = Column(Float(53), comment='晚稻米-砷(mg/kg)')
    wzm_pb = Column(Float(53), comment='晚稻米-铅(mg/kg)')
    tcb_cd = Column(Float(53), comment='土壤参比值-镉(mg/kg)')
    tcb_as = Column(Float(53), comment='土壤参比值-砷(mg/kg)')
    tcb_pb = Column(Float(53), comment='土壤参比值-铅(mg/kg)')
    mcb_cd = Column(Float(53), comment='稻米参比值-镉(mg/kg)')
    mcb_as = Column(Float(53), comment='稻米参比值-砷(mg/kg)')
    mcb_pb = Column(Float(53), comment='稻米参比值-铅(mg/kg)')
    tzs_cd = Column(Float(53), comment='土壤指数-镉(mg/kg)')
    tzs_as = Column(Float(53), comment='土壤指数-砷(mg/kg)')
    tzs_pb = Column(Float(53), comment='土壤指数-铅(mg/kg)')
    z_mzs_cd = Column(Float(53), comment='早造米指数-镉(mg/kg)')
    z_mzs_as = Column(Float(53), comment='早造米指数-砷(mg/kg)')
    z_mzs_pb = Column(Float(53), comment='早造米指数-铅(mg/kg)')
    w_mzs_cd = Column(Float(53), comment='晚造米指数-镉(mg/kg)')
    w_mzs_as = Column(Float(53), comment='晚造米指数-砷(mg/kg)')
    w_mzs_pb = Column(Float(53), comment='晚造米指数-铅(mg/kg)')
    tzs_max = Column(Float(53), comment='土壤综合指数')
    mzs_max = Column(Float(53), comment='稻米综合指数')
    s_tfj_max = Column(Float(53), comment='综合指数分级')
    s_mfj_max = Column(Float(53), comment='综合指数分级')
    h_tfj_max = Column(Float(53), comment='环保97号文土壤指数分级')
    h_mfj_max = Column(Float(53), comment='环保98号文稻米指数分级')
    s_pdtj = Column(String(254), comment='综合风险等级代码')
    h_pdtj = Column(String(254), comment='土壤环境质量类别代码')
    s_xtfx = Column(String(254), comment='综合风险等级')
    h_xtfx = Column(String(254), comment='土壤环境质量类别')
    mzs_cd_max = Column(Float(53), comment='单金属最大米指数')
    mzs_as_max = Column(Float(53), comment='单金属最大米指数')
    mzs_pd_max = Column(Float(53), comment='单金属最大米指数')
    tzs_cd_fj = Column(Float(53), comment='按土壤指数分级')
    tzs_as_fj = Column(Float(53), comment='按土壤指数分级')
    tzs_pb_fj = Column(Float(53), comment='按土壤指数分级')
    mzs_cd_fj = Column(Float(53), comment='按稻米指数分级')
    mzs_as_fj = Column(Float(53), comment='按稻米指数分级')
    mzs_pb_fj = Column(Float(53), comment='按稻米指数分级')
    s_cd_pdtj = Column(String(254), comment='单金属风险代码')
    s_cd_pdtj1 = Column(String(254), comment='单金属风险代码')
    s_pb_pdtj = Column(String(254), comment='单金属风险代码')
    s_cd_xtfx = Column(String(254), comment='单金属协同风险等级')
    s_as_xtfx = Column(String(254), comment='单金属协同风险等级')
    s_pb_xtfx = Column(String(254), comment='单金属协同风险等级')
    s_cd_fz = Column(Float(53), comment='镉分风险分级')
    s_as_fz = Column(Float(53), comment='砷分风险分级')
    cd_as_pdtj = Column(String(254), comment='镉-砷复合污染分级代码')
    cd_as_fhwr = Column(String(254), comment='镉-砷复合污染分级代码')
    wrlx = Column(String(254), comment='镉-砷复合污染分级')
    wrlx_pb = Column(String(254), comment='铅是否有风险')
    cec__cmol_ = Column(Float(53), comment='阳离子交换容量(cmol/kg)')
    tom_g_kg_ = Column(Float(53), comment='土壤有机质(g/kg)')
    mmax_cd = Column(Float(53), comment='单金属稻米最大值')
    mmax_as = Column(Float(53), comment='单金属稻米最大值')
    mmax_pb = Column(Float(53), comment='单金属稻米最大值')
    bcf_cd = Column(Float(53), comment='稻米富集系数')
    bcf_as = Column(Float(53), comment='稻米富集系数')
    bcf_pb = Column(Float(53), comment='稻米富集系数')
    nl_g_kg_ = Column(Float(53), comment='粘粒')
    fl_g_kg_ = Column(Float(53), comment='粘粒')
    sl_g_kg_ = Column(Float(53), comment='粘粒')
    nl_zb = Column(Float(53), comment='黏粒占比')
    fl_zb = Column(Float(53), comment='粉粒占比')
    sl_zb = Column(Float(53), comment='砂粒占比')
    trlx = Column(String(254), comment='土壤质地')
    dtpa_cd = Column(Float(53), comment='土壤单金属提取态')
    lin_suan_er_qing_an = Column(Float(53), comment='土壤单金属提取态')
    dtpa_pb = Column(Float(53), comment='土壤单金属提取态')
    zb_cd = Column(Float(53), comment='土壤单金v属提取态占比')
    zb_as = Column(Float(53), comment='土壤单金属提取态占比')
    zb_pb = Column(Float(53), comment='土壤单金属提取态占比')
    tql_cr = Column(Float(53), comment='土壤单金属全量')
    tql_hg = Column(Float(53), comment='土壤单金属全量')
    f_2_00mm = Column(String(254), comment='土壤机械组成数据>2.00mm粒径分布')
    _2_1mm = Column('2_1mm', Float(53), comment='土壤机械组成数据2-1mm粒径分布')
    _1_0_5mm = Column('1_0_5mm', Float(53), comment='土壤机械组成数据1-0.5mm粒径分布')
    _0_5_0_25mm = Column('0_5_0_25mm', Float(53), comment='土壤机械组成数据0.5-0.25mm粒径分布')
    _0_25_0_05m = Column('0_25_0_05m', Float(53), comment='土壤机械组成数据0.25-0.05mm粒径分布')
    _0_05_0_02m = Column('0_05_0_02m', Float(53), comment='土壤机械组成数据0.05-0.02mm粒径分布')
    _0_02_0_002 = Column('0_02_0_002', Float(53), comment='土壤机械组成数据0.02-0.002mm粒径分布')
    f_0_002mm = Column(Float(53), comment='土壤机械组成数据<0.002mm粒径分布')
    ph_fj = Column(Float(53), comment='pH值分级1')
    ph_fj_2 = Column(Float(53), comment='pH值分级2')
    geom = Column(Geometry('POINT', from_text='ST_GeomFromEWKT', name='geometry'), index=True, comment='几何位置信息')

class RasterTable(Base):
    __tablename__ = 'raster_table'

    id = Column(Integer, primary_key=True, autoincrement=True)
    rast = Column(Raster(from_text='raster', name='raster'), index=True)


class SpatialRefSy(Base):
    __tablename__ = 'spatial_ref_sys'
    __table_args__ = (
        CheckConstraint('(srid > 0) AND (srid <= 998999)'),
    )

    srid = Column(Integer, primary_key=True)
    auth_name = Column(String(256))
    auth_srid = Column(Integer)
    srtext = Column(String(2048))
    proj4text = Column(String(2048))


class Surveydatum(Base):
    __tablename__ = 'surveydata'

    id = Column(Float(53), primary_key=True, autoincrement=True)
    dwmc = Column(String(50))
    r_dwmc = Column(String(50))
    lat = Column(Numeric(9, 6))
    lon = Column(Numeric(9, 6))
    xmc = Column(String(50))
    zmc = Column(String(50))
    cmc = Column(String(50))
    tql_cd = Column(Numeric(10, 6))
    tql_as = Column(Numeric(10, 6))
    tql_pb = Column(Numeric(10, 6))
    ph = Column(Numeric(4, 2))
    zzm_cd = Column(Numeric(10, 6))
    zzm_as = Column(Numeric(10, 6))
    zzm_pb = Column(Numeric(10, 6))
    wzm_cd = Column(Numeric(10, 6))
    wzm_as = Column(Numeric(10, 6))
    wzm_pb = Column(Numeric(10, 6))
    tcb_cd = Column(Numeric(10, 6))
    tcb_as = Column(Numeric(10, 6))
    tcb_pb = Column(Numeric(10, 6))
    mcb_cd = Column(Numeric(10, 6))
    mcb_as = Column(Numeric(10, 6))
    mcb_pb = Column(Numeric(10, 6))
    tzs_cd = Column(Numeric(10, 6))
    tzs_as = Column(Numeric(10, 6))
    tzs_pb = Column(Numeric(10, 6))
    z_mzs_cd = Column(Numeric(10, 6))
    z_mzs_as = Column(Numeric(10, 6))
    z_mzs_pb = Column(Numeric(10, 6))
    w_mzs_cd = Column(Numeric(10, 6))
    w_mzs_as = Column(Numeric(10, 6))
    w_mzs_pb = Column(Numeric(10, 6))
    tzs_max = Column(Numeric(10, 6))
    mzs_max = Column(Numeric(10, 6))
    s_tfj_max = Column(Numeric(10, 6))
    s_mfj_max = Column(Numeric(10, 6))
    h_tfj_max = Column(Numeric(10, 6))
    h_mfj_max = Column(Numeric(10, 6))
    s_pdtj = Column(String(10))
    h_pdtj = Column(String(10))
    s_xtfx = Column(String(50))
    h_xtfx = Column(String(50))
    cec_cmol = Column(Numeric(10, 6))
    tom_g_kg = Column(Numeric(10, 6))
    trlx = Column(String(50))
    dtpa_cd = Column(Numeric(10, 6))
    dtpa_pb = Column(Numeric(10, 6))
    geom = Column(Geometry('POINT', 4326, from_text='ST_GeomFromEWKT', name='geometry'), index=True)
    mzs_cd_max = Column(Float(53))
    mzs_as_max = Column(Float(53))
    mzs_pd_max = Column(Float(53))
    tzs_cd_fj = Column(Float(53))
    tzs_as_fj = Column(Float(53))
    tzs_pb_fj = Column(Float(53))
    mzs_cd_fj = Column(Float(53))
    mzs_as_fj = Column(Float(53))
    mzs_pb_fj = Column(Float(53))
    s_cd_pdtj = Column(String)
    s_cd_pdtj1 = Column(String)
    s_pb_pdtj = Column(String)
    s_cd_xtfx = Column(String)
    s_as_xtfx = Column(String)
    s_pb_xtfx = Column(String)
    s_cd_fz = Column(Float(53))
    s_as_fz = Column(Float(53))
    cd_as_pdtj = Column(String)
    cd_as_fhwr = Column(String)
    wrlx = Column(String)
    wrlx_pb = Column(String)
    cec__cmol_ = Column(Float(53))
    tom_g_kg_ = Column(Float(53))
    mmax_cd = Column(Float(53))
    mmax_as = Column(Float(53))
    mmax_pb = Column(Float(53))
    bcf_cd = Column(Float(53))
    bcf_as = Column(Float(53))
    bcf_pb = Column(Float(53))
    nl_g_kg_ = Column(Float(53))
    fl_g_kg_ = Column(Float(53))
    sl_g_kg_ = Column(Float(53))
    nl_zb = Column(Float(53))
    fl_zb = Column(Float(53))
    sl_zb = Column(Float(53))
    lin_suan_er_qing_an = Column(Float(53))
    zb_cd = Column(Float(53))
    zb_as = Column(Float(53))
    zb_pb = Column(Float(53))
    tql_cr = Column(Float(53))
    tql_hg = Column(Float(53))
    f_2_00mm = Column(String)
    _2_1mm = Column('2_1mm', Float(53))
    _1_0_5mm = Column('1_0_5mm', Float(53))
    _0_5_0_25mm = Column('0_5_0_25mm', Float(53))
    _0_25_0_05m = Column('0_25_0_05m', Float(53))
    _0_05_0_02m = Column('0_05_0_02m', Float(53))
    _0_02_0_002 = Column('0_02_0_002', Float(53))
    f_0_002mm = Column(Float(53))
    ph_fj = Column(Float(53))
    ph_fj_2 = Column(Float(53))


class UnitCeil(Base):
    __tablename__ = 'unit_ceil'

    gid = Column(Integer, primary_key=True, autoincrement=True)
    OBJECTID = Column(Float(53))
    BSM = Column(String(20))
    PXZQDM = Column(String(2))
    PXZQMC = Column(String(50))
    CXZQDM = Column(String(4))
    CXZQMC = Column(String(50))
    SUM_NYDTBM = Column(Numeric)
    XCDYBM = Column(String(20))
    Shape_Leng = Column(Numeric)
    Shape_Area = Column(Numeric)
    geom = Column(Geometry('GEOMETRYZM', 4490, 4, from_text='ST_GeomFromEWKT', name='geometry'), index=True)