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fb1852e f6f831b fb1852e f6f831b fb1852e dfe618f fb1852e f05849c c7f64de b5a4c95 fb1852e 9bf8bc5 fb1852e f05849c c7f64de 432f713 c7f64de b5a4c95 432f713 b5a4c95 fb1852e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 | import uuid
import datetime
from typing import List, Optional
from sqlalchemy import String, Integer, Float, DateTime, ForeignKey, UniqueConstraint, BigInteger, func, Boolean
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.app.database.session import Base
class User(Base):
__tablename__ = "users"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
email: Mapped[str] = mapped_column(String(255), unique=True, index=True, nullable=False)
full_name: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
google_id: Mapped[str] = mapped_column(String(255), unique=True, index=True, nullable=False)
picture_url: Mapped[Optional[str]] = mapped_column(String(500), nullable=True)
# Email Verification fields
is_verified: Mapped[bool] = mapped_column(Boolean, default=False, nullable=False)
verification_code: Mapped[Optional[str]] = mapped_column(String(10), nullable=True)
verification_code_expires_at: Mapped[Optional[datetime.datetime]] = mapped_column(DateTime(timezone=True), nullable=True)
# Credit SaaS parameters
credits: Mapped[int] = mapped_column(Integer, default=5, nullable=False)
last_credit_refresh: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Subscription parameters
subscription_tier: Mapped[str] = mapped_column(String(50), default="free", nullable=False)
messages_remaining: Mapped[int] = mapped_column(Integer, default=3, nullable=False)
monthly_messages_used: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
last_billing_date: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Relationships
watchlists: Mapped[List["Watchlist"]] = relationship(back_populates="user", cascade="all, delete-orphan")
alerts: Mapped[List["Alert"]] = relationship(back_populates="user", cascade="all, delete-orphan")
transactions: Mapped[List["PaymentTransaction"]] = relationship(back_populates="user", cascade="all, delete-orphan")
saved_strategies: Mapped[List["SavedStrategy"]] = relationship(back_populates="user", cascade="all, delete-orphan")
prediction_logs: Mapped[List["PredictionLog"]] = relationship(back_populates="user", cascade="all, delete-orphan")
strategy_logs: Mapped[List["StrategyLog"]] = relationship(back_populates="user", cascade="all, delete-orphan")
class PaymentTransaction(Base):
__tablename__ = "payment_transactions"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False)
# Razorpay Specifics
razorpay_order_id: Mapped[str] = mapped_column(String(255), unique=True, index=True, nullable=False)
razorpay_payment_id: Mapped[Optional[str]] = mapped_column(String(255), unique=True, index=True, nullable=True)
amount: Mapped[int] = mapped_column(Integer, nullable=False) # in paisa (e.g., 10000 = ₹100)
status: Mapped[str] = mapped_column(String(50), default="created", nullable=False) # created, captured, failed
credits_credited: Mapped[int] = mapped_column(Integer, nullable=False)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Relationship
user: Mapped["User"] = relationship(back_populates="transactions")
class Watchlist(Base):
__tablename__ = "watchlists"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
ticker: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Relationship
user: Mapped["User"] = relationship(back_populates="watchlists")
class Alert(Base):
__tablename__ = "alerts"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
ticker: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
target_price: Mapped[float] = mapped_column(Float, nullable=False)
condition: Mapped[str] = mapped_column(String(20), nullable=False) # "above" or "below"
is_active: Mapped[bool] = mapped_column(default=True, nullable=False)
is_triggered: Mapped[bool] = mapped_column(default=False, nullable=False)
last_notified_at: Mapped[Optional[datetime.datetime]] = mapped_column(DateTime(timezone=True), nullable=True)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Relationship
user: Mapped["User"] = relationship(back_populates="alerts")
class StockHistory(Base):
__tablename__ = "stock_history"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
ticker: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
timestamp: Mapped[datetime.datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)
# Candlestick values
open: Mapped[float] = mapped_column(Float, nullable=False)
high: Mapped[float] = mapped_column(Float, nullable=False)
low: Mapped[float] = mapped_column(Float, nullable=False)
close: Mapped[float] = mapped_column(Float, nullable=False)
volume: Mapped[int] = mapped_column(BigInteger, nullable=False)
# Prevent duplicate records for the same ticker at the same timestamp
__table_args__ = (
UniqueConstraint("ticker", "timestamp", name="uq_ticker_timestamp"),
)
class SavedStrategy(Base):
__tablename__ = "saved_strategies"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
ticker: Mapped[str] = mapped_column(String(50), nullable=False, index=True)
bullish_probability: Mapped[int] = mapped_column(Integer, nullable=False)
reason: Mapped[str] = mapped_column(String(5000), nullable=False)
created_at: Mapped[datetime.datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False
)
# Relationship
user: Mapped["User"] = relationship(back_populates="saved_strategies")
class PredictionLog(Base):
__tablename__ = "prediction_logs"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
ticker: Mapped[str] = mapped_column(String(50), index=True)
timestamp: Mapped[datetime.datetime] = mapped_column(DateTime(timezone=True), server_default=func.now(), index=True)
# Model configuration
model_version: Mapped[str] = mapped_column(String(50), default="v1.0")
confidence: Mapped[float] = mapped_column(Float) # probability value between 0.0 and 1.0
predicted_action: Mapped[str] = mapped_column(String(20)) # "BUY", "SELL", "HOLD"
# Price boundaries
entry_price: Mapped[float] = mapped_column(Float)
target_price: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
stop_loss: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
# Actual outcome values (populated later by celery worker)
actual_price_1h: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
actual_price_24h: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
status: Mapped[str] = mapped_column(String(20), default="pending", index=True) # "pending", "completed"
outcome: Mapped[Optional[str]] = mapped_column(String(20), nullable=True) # "success", "failed", "neutral"
pnl: Mapped[Optional[float]] = mapped_column(Float, nullable=True) # percent return
asset_class: Mapped[Optional[str]] = mapped_column(String(50), nullable=True) # "crypto", "index", "tech"
# Relationship
user: Mapped["User"] = relationship(back_populates="prediction_logs")
class StrategyLog(Base):
__tablename__ = "strategy_logs"
id: Mapped[uuid.UUID] = mapped_column(primary_key=True, default=uuid.uuid4)
user_id: Mapped[uuid.UUID] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
ticker: Mapped[str] = mapped_column(String(50), index=True)
timestamp: Mapped[datetime.datetime] = mapped_column(DateTime(timezone=True), server_default=func.now(), index=True)
model_version: Mapped[str] = mapped_column(String(50), default="v1.0")
bullish_probability: Mapped[int] = mapped_column(Integer)
# AI Recommended Levels
ai_entry: Mapped[float] = mapped_column(Float)
ai_target: Mapped[float] = mapped_column(Float)
ai_stop_loss: Mapped[float] = mapped_column(Float)
# User Customized Levels
user_entry: Mapped[float] = mapped_column(Float)
user_target: Mapped[float] = mapped_column(Float)
user_stop_loss: Mapped[float] = mapped_column(Float)
# Outcomes (populated by background worker)
status: Mapped[str] = mapped_column(String(20), default="pending", index=True) # "pending", "completed"
ai_outcome: Mapped[Optional[str]] = mapped_column(String(20), nullable=True) # "success", "failed"
user_outcome: Mapped[Optional[str]] = mapped_column(String(20), nullable=True) # "success", "failed"
actual_exit_price: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
asset_class: Mapped[Optional[str]] = mapped_column(String(50), nullable=True) # "crypto", "index", "tech"
# Relationship
user: Mapped["User"] = relationship(back_populates="strategy_logs")
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