first commit

alembic/versions/001_initial_schema.py

@@ -0,0 +1,180 @@
+"""initial_schema
+
+Revision ID: 001
+Revises:
+Create Date: 2025-01-01 00:00:00.000000
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = "001"
+down_revision: Union[str, None] = None
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # Independent tables (no foreign keys)
+    op.create_table(
+        "system_settings",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("key", sa.String(length=100), nullable=False),
+        sa.Column("value", sa.Text(), nullable=False),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("key"),
+    )
+    op.create_table(
+        "tickers",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("symbol", sa.String(length=10), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("symbol"),
+    )
+    op.create_table(
+        "users",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("username", sa.String(length=100), nullable=False),
+        sa.Column("password_hash", sa.String(length=255), nullable=False),
+        sa.Column("role", sa.String(length=20), nullable=False),
+        sa.Column("has_access", sa.Boolean(), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("username"),
+    )
+
+    # Tables with FK to tickers
+    op.create_table(
+        "composite_scores",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("score", sa.Float(), nullable=False),
+        sa.Column("is_stale", sa.Boolean(), nullable=False),
+        sa.Column("weights_json", sa.Text(), nullable=False),
+        sa.Column("computed_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "dimension_scores",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("dimension", sa.String(length=50), nullable=False),
+        sa.Column("score", sa.Float(), nullable=False),
+        sa.Column("is_stale", sa.Boolean(), nullable=False),
+        sa.Column("computed_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "fundamental_data",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("pe_ratio", sa.Float(), nullable=True),
+        sa.Column("revenue_growth", sa.Float(), nullable=True),
+        sa.Column("earnings_surprise", sa.Float(), nullable=True),
+        sa.Column("market_cap", sa.Float(), nullable=True),
+        sa.Column("fetched_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "ingestion_progress",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("last_ingested_date", sa.Date(), nullable=False),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("ticker_id", name="uq_ingestion_progress_ticker"),
+    )
+    op.create_table(
+        "ohlcv_records",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("date", sa.Date(), nullable=False),
+        sa.Column("open", sa.Float(), nullable=False),
+        sa.Column("high", sa.Float(), nullable=False),
+        sa.Column("low", sa.Float(), nullable=False),
+        sa.Column("close", sa.Float(), nullable=False),
+        sa.Column("volume", sa.BigInteger(), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("ticker_id", "date", name="uq_ohlcv_ticker_date"),
+    )
+    op.create_index("ix_ohlcv_ticker_date", "ohlcv_records", ["ticker_id", "date"], unique=False)
+    op.create_table(
+        "sentiment_scores",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("classification", sa.String(length=20), nullable=False),
+        sa.Column("confidence", sa.Integer(), nullable=False),
+        sa.Column("source", sa.String(length=100), nullable=False),
+        sa.Column("timestamp", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "sr_levels",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("price_level", sa.Float(), nullable=False),
+        sa.Column("type", sa.String(length=20), nullable=False),
+        sa.Column("strength", sa.Integer(), nullable=False),
+        sa.Column("detection_method", sa.String(length=50), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    op.create_table(
+        "trade_setups",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("direction", sa.String(length=10), nullable=False),
+        sa.Column("entry_price", sa.Float(), nullable=False),
+        sa.Column("stop_loss", sa.Float(), nullable=False),
+        sa.Column("target", sa.Float(), nullable=False),
+        sa.Column("rr_ratio", sa.Float(), nullable=False),
+        sa.Column("composite_score", sa.Float(), nullable=False),
+        sa.Column("detected_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+
+    # Table with FKs to both users and tickers
+    op.create_table(
+        "watchlist_entries",
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column("user_id", sa.Integer(), nullable=False),
+        sa.Column("ticker_id", sa.Integer(), nullable=False),
+        sa.Column("entry_type", sa.String(length=10), nullable=False),
+        sa.Column("added_at", sa.DateTime(timezone=True), nullable=False),
+        sa.ForeignKeyConstraint(["ticker_id"], ["tickers.id"], ondelete="CASCADE"),
+        sa.ForeignKeyConstraint(["user_id"], ["users.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("user_id", "ticker_id", name="uq_watchlist_user_ticker"),
+    )
+
+
+def downgrade() -> None:
+    op.drop_table("watchlist_entries")
+    op.drop_table("trade_setups")
+    op.drop_table("sr_levels")
+    op.drop_table("sentiment_scores")
+    op.drop_index("ix_ohlcv_ticker_date", table_name="ohlcv_records")
+    op.drop_table("ohlcv_records")
+    op.drop_table("ingestion_progress")
+    op.drop_table("fundamental_data")
+    op.drop_table("dimension_scores")
+    op.drop_table("composite_scores")
+    op.drop_table("users")
+    op.drop_table("tickers")
+    op.drop_table("system_settings")