c/backend/app/models.py

from datetime import datetime

from werkzeug.security import check_password_hash, generate_password_hash

from app.extensions import db


class User(db.Model):
    __tablename__ = "users"

    id = db.Column(db.Integer, primary_key=True)
    username = db.Column(db.String(64), unique=True, nullable=False, index=True)
    password_hash = db.Column(db.String(255), nullable=False)
    nickname = db.Column(db.String(64), nullable=False)
    company = db.Column(db.String(128), default="")
    title = db.Column(db.String(64), default="")
    phone = db.Column(db.String(32), default="")
    is_admin = db.Column(db.Boolean, default=False)
    credit_score = db.Column(db.Integer, default=100)  # 信誉分 0-200，默认100
    created_at = db.Column(db.DateTime, default=datetime.utcnow)
    updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)

    prediction_logs = db.relationship("SpamPredictionLog", backref="user", lazy=True, cascade="all, delete-orphan")
    training_samples = db.relationship("SpamTrainingSample", backref="creator", lazy=True, foreign_keys="SpamTrainingSample.created_by")
    sent_posts = db.relationship("ContentPost", backref="author", lazy=True, foreign_keys="ContentPost.user_id")
    received_posts = db.relationship("ContentPost", backref="recipient", lazy=True, foreign_keys="ContentPost.recipient_user_id")
    reviewed_posts = db.relationship("ContentPost", backref="reviewer", lazy=True, foreign_keys="ContentPost.manual_review_by")

    def set_password(self, password: str) -> None:
        self.password_hash = generate_password_hash(password)

    def check_password(self, password: str) -> bool:
        return check_password_hash(self.password_hash, password)

    def to_dict(self) -> dict:
        return {
            "id": self.id,
            "username": self.username,
            "nickname": self.nickname,
            "company": self.company,
            "title": self.title,
            "phone": self.phone,
            "is_admin": self.is_admin,
            "credit_score": self.credit_score,
            "created_at": self.created_at.isoformat() if self.created_at else None,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None,
        }


class SpamTrainingSample(db.Model):
    __tablename__ = "spam_training_samples"

    id = db.Column(db.Integer, primary_key=True)
    text = db.Column(db.Text, nullable=False)
    label = db.Column(db.String(16), nullable=False, index=True)  # spam | ham
    source = db.Column(db.String(32), default="seed")  # seed | import | feedback | manual_review
    created_by = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=True, index=True)
    is_active = db.Column(db.Boolean, default=True)
    created_at = db.Column(db.DateTime, default=datetime.utcnow)
    updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)

    def to_dict(self) -> dict:
        return {
            "id": self.id,
            "text": self.text,
            "label": self.label,
            "source": self.source,
            "created_by": self.created_by,
            "is_active": self.is_active,
            "created_at": self.created_at.isoformat() if self.created_at else None,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None,
        }


class SpamPredictionLog(db.Model):
    __tablename__ = "spam_prediction_logs"

    id = db.Column(db.Integer, primary_key=True)
    user_id = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=False, index=True)
    text = db.Column(db.Text, nullable=False)
    prediction = db.Column(db.String(16), nullable=False)  # spam | ham
    category = db.Column(db.String(32), default="")  # fraud | harassment | advertisement | spam | 空
    spam_probability = db.Column(db.Float, nullable=False)
    ham_probability = db.Column(db.Float, nullable=False)
    confidence = db.Column(db.Float, nullable=False)
    reason_tokens = db.Column(db.JSON, default=list)
    model_version = db.Column(db.String(64), default="")
    created_at = db.Column(db.DateTime, default=datetime.utcnow, index=True)

    def to_dict(self) -> dict:
        return {
            "id": self.id,
            "user_id": self.user_id,
            "text": self.text,
            "prediction": self.prediction,
            "category": self.category or "",
            "spam_probability": round(float(self.spam_probability), 4),
            "ham_probability": round(float(self.ham_probability), 4),
            "confidence": round(float(self.confidence), 4),
            "reason_tokens": self.reason_tokens or [],
            "model_version": self.model_version,
            "created_at": self.created_at.isoformat() if self.created_at else None,
        }


class DetectionConfig(db.Model):
    __tablename__ = "detection_configs"

    id = db.Column(db.Integer, primary_key=True)
    spam_threshold = db.Column(db.Float, nullable=False, default=0.75)
    updated_by = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=True)
    updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)

    def to_dict(self) -> dict:
        return {
            "id": self.id,
            "spam_threshold": round(float(self.spam_threshold), 4),
            "updated_by": self.updated_by,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None,
        }


class ContentPost(db.Model):
    __tablename__ = "content_posts"

    id = db.Column(db.Integer, primary_key=True)
    user_id = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=False, index=True)
    recipient_user_id = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=True, index=True)

    text = db.Column(db.Text, nullable=False)
    visibility = db.Column(db.String(16), nullable=False, default="public")  # public | private | direct

    status = db.Column(db.String(16), nullable=False, default="published")  # published | blocked
    prediction = db.Column(db.String(16), nullable=False, default="ham")
    category = db.Column(db.String(32), default="")  # fraud | harassment | advertisement | spam | 空
    spam_probability = db.Column(db.Float, nullable=False, default=0)
    ham_probability = db.Column(db.Float, nullable=False, default=0)
    confidence = db.Column(db.Float, nullable=False, default=0)
    threshold = db.Column(db.Float, nullable=False, default=0.75)
    reason_tokens = db.Column(db.JSON, default=list)
    model_version = db.Column(db.String(64), default="")

    manual_review_status = db.Column(db.String(32), nullable=False, default="none")  # none | pending | confirmed_spam | approved_ham
    manual_review_by = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=True)
    manual_review_note = db.Column(db.String(255), default="")
    manual_review_at = db.Column(db.DateTime, nullable=True)

    appeal_status = db.Column(db.String(16), nullable=False, default="none")  # none | pending | approved | rejected
    appeal_reason_type = db.Column(db.String(32), default="")  # 快捷理由类型
    appeal_reason = db.Column(db.String(255), default="")
    appeal_evidence_urls = db.Column(db.JSON, default=list)  # 证据图片 URL 列表
    appeal_admin_note = db.Column(db.String(255), default="")
    appeal_submitted_at = db.Column(db.DateTime, nullable=True)
    appeal_processed_at = db.Column(db.DateTime, nullable=True)
    appeal_processed_by = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=True)

    created_at = db.Column(db.DateTime, default=datetime.utcnow, index=True)
    updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)

    def to_dict(self) -> dict:
        return {
            "id": self.id,
            "user_id": self.user_id,
            "recipient_user_id": self.recipient_user_id,
            "text": self.text,
            "visibility": self.visibility,
            "status": self.status,
            "prediction": self.prediction,
            "category": self.category or "",
            "spam_probability": round(float(self.spam_probability), 4),
            "ham_probability": round(float(self.ham_probability), 4),
            "confidence": round(float(self.confidence), 4),
            "threshold": round(float(self.threshold), 4),
            "reason_tokens": self.reason_tokens or [],
            "model_version": self.model_version,
            "manual_review_status": self.manual_review_status,
            "manual_review_by": self.manual_review_by,
            "manual_review_note": self.manual_review_note,
            "manual_review_at": self.manual_review_at.isoformat() if self.manual_review_at else None,
            "appeal_status": self.appeal_status,
            "appeal_reason_type": self.appeal_reason_type,
            "appeal_reason": self.appeal_reason,
            "appeal_evidence_urls": self.appeal_evidence_urls or [],
            "appeal_admin_note": self.appeal_admin_note,
            "appeal_submitted_at": self.appeal_submitted_at.isoformat() if self.appeal_submitted_at else None,
            "appeal_processed_at": self.appeal_processed_at.isoformat() if self.appeal_processed_at else None,
            "appeal_processed_by": self.appeal_processed_by,
            "created_at": self.created_at.isoformat() if self.created_at else None,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None,
        }