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trading-journal/backend/tests/test_db_migration.py
Tianyu Liu 1fbc93353d
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add exchange table
2025-09-22 14:33:32 +02:00

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Python

import pytest
from sqlalchemy import text
from sqlalchemy.pool import StaticPool
from sqlmodel import SQLModel, create_engine
from trading_journal import db_migration
def _base_type_of(compiled: str) -> str:
"""Return base type name (e.g. VARCHAR from VARCHAR(13)), upper-cased."""
return compiled.split("(")[0].strip().upper()
def test_run_migrations_0_to_1(monkeypatch: pytest.MonkeyPatch) -> None:
# in-memory engine that preserves the same connection (StaticPool)
SQLModel.metadata.clear()
engine = create_engine(
"sqlite:///:memory:",
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
try:
monkeypatch.setattr(db_migration, "LATEST_VERSION", 1)
final_version = db_migration.run_migrations(engine)
assert final_version == 1
expected_schema = {
"users": {
"id": ("INTEGER", 1, 1),
"username": ("TEXT", 1, 0),
"password_hash": ("TEXT", 1, 0),
"is_active": ("BOOLEAN", 1, 0),
},
"cycles": {
"id": ("INTEGER", 1, 1),
"user_id": ("INTEGER", 1, 0),
"friendly_name": ("TEXT", 0, 0),
"symbol": ("TEXT", 1, 0),
"exchange_id": ("INTEGER", 1, 0),
"underlying_currency": ("TEXT", 1, 0),
"status": ("TEXT", 1, 0),
"funding_source": ("TEXT", 0, 0),
"capital_exposure_cents": ("INTEGER", 0, 0),
"loan_amount_cents": ("INTEGER", 0, 0),
"loan_interest_rate_bps": ("INTEGER", 0, 0),
"start_date": ("DATE", 1, 0),
"end_date": ("DATE", 0, 0),
},
"trades": {
"id": ("INTEGER", 1, 1),
"user_id": ("INTEGER", 1, 0),
"friendly_name": ("TEXT", 0, 0),
"symbol": ("TEXT", 1, 0),
"exchange_id": ("INTEGER", 1, 0),
"underlying_currency": ("TEXT", 1, 0),
"trade_type": ("TEXT", 1, 0),
"trade_strategy": ("TEXT", 1, 0),
"trade_date": ("DATE", 1, 0),
"trade_time_utc": ("DATETIME", 1, 0),
"expiry_date": ("DATE", 0, 0),
"strike_price_cents": ("INTEGER", 0, 0),
"quantity": ("INTEGER", 1, 0),
"price_cents": ("INTEGER", 1, 0),
"gross_cash_flow_cents": ("INTEGER", 1, 0),
"commission_cents": ("INTEGER", 1, 0),
"net_cash_flow_cents": ("INTEGER", 1, 0),
"is_invalidated": ("BOOLEAN", 1, 0),
"invalidated_at": ("DATETIME", 0, 0),
"replaced_by_trade_id": ("INTEGER", 0, 0),
"notes": ("TEXT", 0, 0),
"cycle_id": ("INTEGER", 0, 0),
},
"sessions": {
"id": ("INTEGER", 1, 1),
"user_id": ("INTEGER", 1, 0),
"session_token_hash": ("TEXT", 1, 0),
"created_at": ("DATETIME", 1, 0),
"expires_at": ("DATETIME", 1, 0),
"last_seen_at": ("DATETIME", 0, 0),
"last_used_ip": ("TEXT", 0, 0),
"user_agent": ("TEXT", 0, 0),
"device_name": ("TEXT", 0, 0),
},
}
expected_fks = {
"trades": [
{"table": "cycles", "from": "cycle_id", "to": "id"},
{"table": "users", "from": "user_id", "to": "id"},
{"table": "exchanges", "from": "exchange_id", "to": "id"},
],
"cycles": [
{"table": "users", "from": "user_id", "to": "id"},
{"table": "exchanges", "from": "exchange_id", "to": "id"},
],
"sessions": [
{"table": "users", "from": "user_id", "to": "id"},
],
"users": [],
"exchanges": [],
}
with engine.connect() as conn:
# check tables exist
rows = conn.execute(
text("SELECT name FROM sqlite_master WHERE type='table'"),
).fetchall()
found_tables = {r[0] for r in rows}
assert set(expected_schema.keys()).issubset(found_tables), f"missing tables: {set(expected_schema.keys()) - found_tables}"
# check user_version
uv = conn.execute(text("PRAGMA user_version")).fetchone()
assert uv is not None
assert int(uv[0]) == 1
# validate each table columns
for tbl_name, cols in expected_schema.items():
info_rows = conn.execute(text(f"PRAGMA table_info({tbl_name})")).fetchall()
# map: name -> (type, notnull, pk)
actual = {r[1]: ((r[2] or "").upper(), int(r[3]), int(r[5])) for r in info_rows}
for colname, (exp_type, exp_notnull, exp_pk) in cols.items():
assert colname in actual, f"{tbl_name}: missing column {colname}"
act_type, act_notnull, act_pk = actual[colname]
# compare base type (e.g. VARCHAR(13) -> VARCHAR)
if act_type:
act_base = _base_type_of(act_type)
else:
act_base = ""
assert exp_type in act_base or act_base in exp_type, (
f"type mismatch {tbl_name}.{colname}: expected {exp_type}, got {act_base}"
)
assert act_notnull == exp_notnull, f"notnull mismatch {tbl_name}.{colname}: expected {exp_notnull}, got {act_notnull}"
assert act_pk == exp_pk, f"pk mismatch {tbl_name}.{colname}: expected {exp_pk}, got {act_pk}"
for tbl_name, fks in expected_fks.items():
fk_rows = conn.execute(text(f"PRAGMA foreign_key_list('{tbl_name}')")).fetchall()
# fk_rows columns: (id, seq, table, from, to, on_update, on_delete, match)
actual_fk_list = [{"table": r[2], "from": r[3], "to": r[4]} for r in fk_rows]
for efk in fks:
assert efk in actual_fk_list, f"missing FK on {tbl_name}: {efk}"
finally:
engine.dispose()
SQLModel.metadata.clear()