摘要
我正在尝试存储除String值之外的3个float值;但在此之前,我想通过相互检查来验证FloatFields。
它们是3个指标-良好,平均和较差,我已经包含了验证器。NumberRange位于[-1,1]中。效果很好,因此,如果我输入的范围超出范围,则默认错误消息会显示在模板中,并在-1和1之间输入
现在,在将它们添加到数据库之前,我必须验证良好,平均和较差指标是否按降序排列。
代码
FORM:
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, FloatField
from wtforms.validators import DataRequired, Length, ValidationError, NumberRange
from .models import Crop
# FORMS RENDERED TO CORRESPONDING WEB TEMPLATES IN DEFINED VIEWS
class CropForm(FlaskForm):
crop_name = StringField("Crop Name", validators=[DataRequired(), Length(max=80)])
good_threshold = FloatField("Good", validators=[DataRequired(), NumberRange(min=-1, max=1)])
average_threshold = FloatField("Average", validators=[DataRequired(), NumberRange(min=-1, max=1)])
poor_threshold = FloatField("Poor", validators=[DataRequired(), NumberRange(min=-1, max=1)])
submit = SubmitField("Submit")
def validate_crop_name(self, crop_name): # IGNORE THIS
crop = Crop.query.filter_by(crop_name=str(crop_name.data).casefold().replace(" ", "").capitalize()).first()
if crop:
raise ValidationError("Crop with the name already exists")
def validate(self, *args, **kwargs):
super(CropForm, self).validate(*args, **kwargs)
good_input = self.good_threshold.raw_data
average_input = self.average_threshold.raw_data
poor_input = self.poor_threshold.raw_data
if good_input < average_input:
self.average_threshold.errors.append("Average cannot be more than Good Indicator")
if good_input < poor_input:
self.poor_threshold.errors.append("Poor cannot be more Good indicator")
if average_input < poor_input:
self.poor_threshold.errors.append("Poor cannot be more Average indicator")
当我删除/注释CropForm FORM中的validate()块时,我能够将未经验证的值(如Good = 0.5,Average = 0.8,Poor = 0.9)发送到db,这是我不希望的,因为它们不是降序排列
当我保持原样/取消注释时,在CropForm FORM中验证()块,发送可接受的值,如Good = 0.9,Average = 0.8,Poor = 0.5,然后我点击模板上的Submit按钮,它不在全部发送值到db
型号:
class Crop(db.Model):
id = db.Column(db.Integer, primary_key=True, unique=True, nullable=False)
crop_name = db.Column(db.String, unique=True, nullable=False)
good_threshold = db.Column(db.Float)
average_threshold = db.Column(db.Float)
poor_threshold = db.Column(db.Float)
def __repr__(self):
return f"{self.id}.{self.crop_name}"
查看:
@app.route("/crops", methods=["POST", "GET"])
def crops():
form = CropForm()
if form.validate_on_submit():
crop_info = Crop(crop_name=str(form.crop_name.data).casefold().replace(" ", "").capitalize(),
good_threshold=form.good_threshold.data,
average_threshold = form.average_threshold.data,
poor_threshold=form.poor_threshold.data)
db.session.add(crop_info)
db.session.commit()
flash(f"Thresholds added, check record #{crop_info.id}", 'success')
return redirect(url_for('crops'))
records = Crop.query.order_by(Crop.id)
return render_template('crop_thresholds.html', title="Crop Thresholds", form=form, records=records)
答案 0 :(得分:0)
您可以尝试将验证函数替换为类似
def validate(self, *args, **kwargs):
super(CropForm, self).validate(*args, **kwargs)
good_input = self.good_threshold.raw_data
average_input = self.average_threshold.raw_data
poor_input = self.poor_threshold.raw_data
all_okay = True
if good_input < average_input:
self.average_threshold.errors.append("Average cannot be more than Good Indicator")
all_okay = False
if good_input < poor_input:
self.poor_threshold.errors.append("Poor cannot be more Good indicator")
all_okay = False
if average_input < poor_input:
self.poor_threshold.errors.append("Poor cannot be more Average indicator")
all_okay = False
return all_okay
这个想法是,validate函数将根据返回的是True
还是False
来确定验证是否应该成功。因此,如果任何if语句失败,则all_okay
将是False
并且验证失败。否则,验证将通过,您应该可以继续输入if form.validate_on_submit():
代码块