feat: implement Portfolio models, ReportStore, and tests; fix SQL constraint

Co-authored-by: aguzererler <6199053+aguzererler@users.noreply.github.com>

tests/portfolio/conftest.py

@@ -17,12 +17,20 @@ Supabase integration tests use ``pytest.mark.skipif`` to auto-skip when
 from __future__ import annotations
 
 import os
-import uuid
 from pathlib import Path
 from unittest.mock import MagicMock
 
 import pytest
 
+from tradingagents.portfolio.models import (
+    Holding,
+    Portfolio,
+    PortfolioSnapshot,
+    Trade,
+)
+from tradingagents.portfolio.report_store import ReportStore
+from tradingagents.portfolio.supabase_client import SupabaseClient
+
 # ---------------------------------------------------------------------------
 # Skip marker for Supabase integration tests
 # ---------------------------------------------------------------------------
@@ -51,31 +59,72 @@ def sample_holding_id() -> str:
 
 
 @pytest.fixture
-def sample_portfolio(sample_portfolio_id: str):
+def sample_portfolio(sample_portfolio_id: str) -> Portfolio:
     """Return an unsaved Portfolio instance for testing."""
-    # TODO: implement — construct a Portfolio dataclass with test values
-    raise NotImplementedError
+    return Portfolio(
+        portfolio_id=sample_portfolio_id,
+        name="Test Portfolio",
+        cash=50_000.0,
+        initial_cash=100_000.0,
+        currency="USD",
+        created_at="2026-03-20T00:00:00Z",
+        updated_at="2026-03-20T00:00:00Z",
+        report_path="reports/daily/2026-03-20/portfolio",
+        metadata={"strategy": "test"},
+    )
 
 
 @pytest.fixture
-def sample_holding(sample_portfolio_id: str, sample_holding_id: str):
+def sample_holding(sample_portfolio_id: str, sample_holding_id: str) -> Holding:
     """Return an unsaved Holding instance for testing."""
-    # TODO: implement — construct a Holding dataclass with test values
-    raise NotImplementedError
+    return Holding(
+        holding_id=sample_holding_id,
+        portfolio_id=sample_portfolio_id,
+        ticker="AAPL",
+        shares=100.0,
+        avg_cost=150.0,
+        sector="Technology",
+        industry="Consumer Electronics",
+        created_at="2026-03-20T00:00:00Z",
+        updated_at="2026-03-20T00:00:00Z",
+    )
 
 
 @pytest.fixture
-def sample_trade(sample_portfolio_id: str):
+def sample_trade(sample_portfolio_id: str) -> Trade:
     """Return an unsaved Trade instance for testing."""
-    # TODO: implement — construct a Trade dataclass with test values
-    raise NotImplementedError
+    return Trade(
+        trade_id="33333333-3333-3333-3333-333333333333",
+        portfolio_id=sample_portfolio_id,
+        ticker="AAPL",
+        action="BUY",
+        shares=100.0,
+        price=150.0,
+        total_value=15_000.0,
+        trade_date="2026-03-20T10:00:00Z",
+        rationale="Strong momentum signal",
+        signal_source="scanner",
+        metadata={"confidence": 0.85},
+    )
 
 
 @pytest.fixture
-def sample_snapshot(sample_portfolio_id: str):
+def sample_snapshot(sample_portfolio_id: str) -> PortfolioSnapshot:
     """Return an unsaved PortfolioSnapshot instance for testing."""
-    # TODO: implement — construct a PortfolioSnapshot dataclass with test values
-    raise NotImplementedError
+    return PortfolioSnapshot(
+        snapshot_id="44444444-4444-4444-4444-444444444444",
+        portfolio_id=sample_portfolio_id,
+        snapshot_date="2026-03-20",
+        total_value=115_000.0,
+        cash=50_000.0,
+        equity_value=65_000.0,
+        num_positions=2,
+        holdings_snapshot=[
+            {"ticker": "AAPL", "shares": 100.0, "avg_cost": 150.0},
+            {"ticker": "MSFT", "shares": 50.0, "avg_cost": 300.0},
+        ],
+        metadata={"note": "end of day snapshot"},
+    )
 
 
 # ---------------------------------------------------------------------------
@@ -92,10 +141,9 @@ def tmp_reports(tmp_path: Path) -> Path:
 
 
 @pytest.fixture
-def report_store(tmp_reports: Path):
+def report_store(tmp_reports: Path) -> ReportStore:
     """ReportStore instance backed by a temporary directory."""
-    # TODO: implement — return ReportStore(base_dir=tmp_reports)
-    raise NotImplementedError
+    return ReportStore(base_dir=tmp_reports)
 
 
 # ---------------------------------------------------------------------------
@@ -104,7 +152,6 @@ def report_store(tmp_reports: Path):
 
 
 @pytest.fixture
-def mock_supabase_client():
+def mock_supabase_client() -> MagicMock:
     """MagicMock of SupabaseClient for unit tests that don't hit the DB."""
-    # TODO: implement — return MagicMock(spec=SupabaseClient)
-    raise NotImplementedError
+    return MagicMock(spec=SupabaseClient)

tests/portfolio/test_models.py

@@ -16,6 +16,13 @@ from __future__ import annotations
 
 import pytest
 
+from tradingagents.portfolio.models import (
+    Holding,
+    Portfolio,
+    PortfolioSnapshot,
+    Trade,
+)
+
 
 # ---------------------------------------------------------------------------
 # Portfolio round-trip
@@ -24,19 +31,41 @@ import pytest
 
 def test_portfolio_to_dict_round_trip(sample_portfolio):
     """Portfolio.to_dict() -> Portfolio.from_dict() must be lossless."""
-    # TODO: implement
-    # d = sample_portfolio.to_dict()
-    # restored = Portfolio.from_dict(d)
-    # assert restored.portfolio_id == sample_portfolio.portfolio_id
-    # assert restored.cash == sample_portfolio.cash
-    # ... all stored fields
-    raise NotImplementedError
+    d = sample_portfolio.to_dict()
+    restored = Portfolio.from_dict(d)
+    assert restored.portfolio_id == sample_portfolio.portfolio_id
+    assert restored.name == sample_portfolio.name
+    assert restored.cash == sample_portfolio.cash
+    assert restored.initial_cash == sample_portfolio.initial_cash
+    assert restored.currency == sample_portfolio.currency
+    assert restored.created_at == sample_portfolio.created_at
+    assert restored.updated_at == sample_portfolio.updated_at
+    assert restored.report_path == sample_portfolio.report_path
+    assert restored.metadata == sample_portfolio.metadata
 
 
 def test_portfolio_to_dict_excludes_runtime_fields(sample_portfolio):
     """to_dict() must not include computed fields (total_value, equity_value, cash_pct)."""
-    # TODO: implement
-    raise NotImplementedError
+    d = sample_portfolio.to_dict()
+    assert "total_value" not in d
+    assert "equity_value" not in d
+    assert "cash_pct" not in d
+
+
+def test_portfolio_from_dict_defaults_optional_fields():
+    """from_dict() must tolerate missing optional fields."""
+    minimal = {
+        "portfolio_id": "pid-1",
+        "name": "Minimal",
+        "cash": 1000.0,
+        "initial_cash": 1000.0,
+    }
+    p = Portfolio.from_dict(minimal)
+    assert p.currency == "USD"
+    assert p.created_at == ""
+    assert p.updated_at == ""
+    assert p.report_path is None
+    assert p.metadata == {}
 
 
 # ---------------------------------------------------------------------------
@@ -46,14 +75,23 @@ def test_portfolio_to_dict_excludes_runtime_fields(sample_portfolio):
 
 def test_holding_to_dict_round_trip(sample_holding):
     """Holding.to_dict() -> Holding.from_dict() must be lossless."""
-    # TODO: implement
-    raise NotImplementedError
+    d = sample_holding.to_dict()
+    restored = Holding.from_dict(d)
+    assert restored.holding_id == sample_holding.holding_id
+    assert restored.portfolio_id == sample_holding.portfolio_id
+    assert restored.ticker == sample_holding.ticker
+    assert restored.shares == sample_holding.shares
+    assert restored.avg_cost == sample_holding.avg_cost
+    assert restored.sector == sample_holding.sector
+    assert restored.industry == sample_holding.industry
 
 
 def test_holding_to_dict_excludes_runtime_fields(sample_holding):
     """to_dict() must not include current_price, current_value, weight, etc."""
-    # TODO: implement
-    raise NotImplementedError
+    d = sample_holding.to_dict()
+    for field in ("current_price", "current_value", "cost_basis",
+                  "unrealized_pnl", "unrealized_pnl_pct", "weight"):
+        assert field not in d
 
 
 # ---------------------------------------------------------------------------
@@ -63,8 +101,19 @@ def test_holding_to_dict_excludes_runtime_fields(sample_holding):
 
 def test_trade_to_dict_round_trip(sample_trade):
     """Trade.to_dict() -> Trade.from_dict() must be lossless."""
-    # TODO: implement
-    raise NotImplementedError
+    d = sample_trade.to_dict()
+    restored = Trade.from_dict(d)
+    assert restored.trade_id == sample_trade.trade_id
+    assert restored.portfolio_id == sample_trade.portfolio_id
+    assert restored.ticker == sample_trade.ticker
+    assert restored.action == sample_trade.action
+    assert restored.shares == sample_trade.shares
+    assert restored.price == sample_trade.price
+    assert restored.total_value == sample_trade.total_value
+    assert restored.trade_date == sample_trade.trade_date
+    assert restored.rationale == sample_trade.rationale
+    assert restored.signal_source == sample_trade.signal_source
+    assert restored.metadata == sample_trade.metadata
 
 
 # ---------------------------------------------------------------------------
@@ -74,8 +123,35 @@ def test_trade_to_dict_round_trip(sample_trade):
 
 def test_snapshot_to_dict_round_trip(sample_snapshot):
     """PortfolioSnapshot.to_dict() -> PortfolioSnapshot.from_dict() round-trip."""
-    # TODO: implement
-    raise NotImplementedError
+    d = sample_snapshot.to_dict()
+    restored = PortfolioSnapshot.from_dict(d)
+    assert restored.snapshot_id == sample_snapshot.snapshot_id
+    assert restored.portfolio_id == sample_snapshot.portfolio_id
+    assert restored.snapshot_date == sample_snapshot.snapshot_date
+    assert restored.total_value == sample_snapshot.total_value
+    assert restored.cash == sample_snapshot.cash
+    assert restored.equity_value == sample_snapshot.equity_value
+    assert restored.num_positions == sample_snapshot.num_positions
+    assert restored.holdings_snapshot == sample_snapshot.holdings_snapshot
+    assert restored.metadata == sample_snapshot.metadata
+
+
+def test_snapshot_from_dict_parses_holdings_snapshot_json_string():
+    """from_dict() must parse holdings_snapshot when it arrives as a JSON string."""
+    import json
+    holdings = [{"ticker": "AAPL", "shares": 10.0}]
+    data = {
+        "snapshot_id": "snap-1",
+        "portfolio_id": "pid-1",
+        "snapshot_date": "2026-03-20",
+        "total_value": 110_000.0,
+        "cash": 10_000.0,
+        "equity_value": 100_000.0,
+        "num_positions": 1,
+        "holdings_snapshot": json.dumps(holdings),  # string form as returned by Supabase
+    }
+    snap = PortfolioSnapshot.from_dict(data)
+    assert snap.holdings_snapshot == holdings
 
 
 # ---------------------------------------------------------------------------
@@ -85,34 +161,50 @@ def test_snapshot_to_dict_round_trip(sample_snapshot):
 
 def test_holding_enrich_computes_current_value(sample_holding):
     """enrich() must set current_value = current_price * shares."""
-    # TODO: implement
-    # sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
-    # assert sample_holding.current_value == 200.0 * sample_holding.shares
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    assert sample_holding.current_value == 200.0 * sample_holding.shares
 
 
 def test_holding_enrich_computes_unrealized_pnl(sample_holding):
     """enrich() must set unrealized_pnl = current_value - cost_basis."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    expected_cost_basis = sample_holding.avg_cost * sample_holding.shares
+    expected_pnl = sample_holding.current_value - expected_cost_basis
+    assert sample_holding.unrealized_pnl == pytest.approx(expected_pnl)
+
+
+def test_holding_enrich_computes_unrealized_pnl_pct(sample_holding):
+    """enrich() must set unrealized_pnl_pct = unrealized_pnl / cost_basis."""
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    cost_basis = sample_holding.avg_cost * sample_holding.shares
+    expected_pct = sample_holding.unrealized_pnl / cost_basis
+    assert sample_holding.unrealized_pnl_pct == pytest.approx(expected_pct)
 
 
 def test_holding_enrich_computes_weight(sample_holding):
     """enrich() must set weight = current_value / portfolio_total_value."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    expected_weight = sample_holding.current_value / 100_000.0
+    assert sample_holding.weight == pytest.approx(expected_weight)
+
+
+def test_holding_enrich_returns_self(sample_holding):
+    """enrich() must return self for chaining."""
+    result = sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    assert result is sample_holding
 
 
 def test_holding_enrich_handles_zero_cost(sample_holding):
     """When avg_cost == 0, unrealized_pnl_pct must be 0 (no ZeroDivisionError)."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.avg_cost = 0.0
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=100_000.0)
+    assert sample_holding.unrealized_pnl_pct == 0.0
 
 
 def test_holding_enrich_handles_zero_portfolio_value(sample_holding):
     """When portfolio_total_value == 0, weight must be 0 (no ZeroDivisionError)."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=0.0)
+    assert sample_holding.weight == 0.0
 
 
 # ---------------------------------------------------------------------------
@@ -122,11 +214,36 @@ def test_holding_enrich_handles_zero_portfolio_value(sample_holding):
 
 def test_portfolio_enrich_computes_total_value(sample_portfolio, sample_holding):
     """Portfolio.enrich() must compute total_value = cash + sum(holding.current_value)."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=1.0)  # sets current_value; dummy total is overwritten by portfolio.enrich()
+    sample_portfolio.enrich([sample_holding])
+    expected_equity = 200.0 * sample_holding.shares
+    assert sample_portfolio.total_value == pytest.approx(sample_portfolio.cash + expected_equity)
+
+
+def test_portfolio_enrich_computes_equity_value(sample_portfolio, sample_holding):
+    """Portfolio.enrich() must set equity_value = sum(holding.current_value)."""
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=1.0)  # sets current_value; dummy total is overwritten by portfolio.enrich()
+    sample_portfolio.enrich([sample_holding])
+    assert sample_portfolio.equity_value == pytest.approx(200.0 * sample_holding.shares)
 
 
 def test_portfolio_enrich_computes_cash_pct(sample_portfolio, sample_holding):
     """Portfolio.enrich() must compute cash_pct = cash / total_value."""
-    # TODO: implement
-    raise NotImplementedError
+    sample_holding.enrich(current_price=200.0, portfolio_total_value=1.0)  # sets current_value; dummy total is overwritten by portfolio.enrich()
+    sample_portfolio.enrich([sample_holding])
+    expected_pct = sample_portfolio.cash / sample_portfolio.total_value
+    assert sample_portfolio.cash_pct == pytest.approx(expected_pct)
+
+
+def test_portfolio_enrich_returns_self(sample_portfolio):
+    """enrich() must return self for chaining."""
+    result = sample_portfolio.enrich([])
+    assert result is sample_portfolio
+
+
+def test_portfolio_enrich_no_holdings(sample_portfolio):
+    """Portfolio.enrich() with empty holdings: equity_value=0, total_value=cash."""
+    sample_portfolio.enrich([])
+    assert sample_portfolio.equity_value == 0.0
+    assert sample_portfolio.total_value == sample_portfolio.cash
+    assert sample_portfolio.cash_pct == 1.0

tests/portfolio/test_report_store.py

@@ -12,10 +12,14 @@ Run::
 
 from __future__ import annotations
 
+import json
 from pathlib import Path
 
 import pytest
 
+from tradingagents.portfolio.exceptions import ReportStoreError
+from tradingagents.portfolio.report_store import ReportStore
+
 
 # ---------------------------------------------------------------------------
 # Macro scan
@@ -24,19 +28,17 @@ import pytest
 
 def test_save_and_load_scan(report_store, tmp_reports):
     """save_scan() then load_scan() must return the original data."""
-    # TODO: implement
-    # data = {"watchlist": ["AAPL", "MSFT"], "date": "2026-03-20"}
-    # path = report_store.save_scan("2026-03-20", data)
-    # assert path.exists()
-    # loaded = report_store.load_scan("2026-03-20")
-    # assert loaded == data
-    raise NotImplementedError
+    data = {"watchlist": ["AAPL", "MSFT"], "date": "2026-03-20"}
+    path = report_store.save_scan("2026-03-20", data)
+    assert path.exists()
+    loaded = report_store.load_scan("2026-03-20")
+    assert loaded == data
 
 
 def test_load_scan_returns_none_for_missing_file(report_store):
     """load_scan() must return None when the file does not exist."""
-    # TODO: implement
-    raise NotImplementedError
+    result = report_store.load_scan("1900-01-01")
+    assert result is None
 
 
 # ---------------------------------------------------------------------------
@@ -46,14 +48,21 @@ def test_load_scan_returns_none_for_missing_file(report_store):
 
 def test_save_and_load_analysis(report_store):
     """save_analysis() then load_analysis() must return the original data."""
-    # TODO: implement
-    raise NotImplementedError
+    data = {"ticker": "AAPL", "recommendation": "BUY", "score": 0.92}
+    report_store.save_analysis("2026-03-20", "AAPL", data)
+    loaded = report_store.load_analysis("2026-03-20", "AAPL")
+    assert loaded == data
 
 
 def test_analysis_ticker_stored_as_uppercase(report_store, tmp_reports):
     """Ticker symbol must be stored as uppercase in the directory path."""
-    # TODO: implement
-    raise NotImplementedError
+    data = {"ticker": "aapl"}
+    report_store.save_analysis("2026-03-20", "aapl", data)
+    expected = tmp_reports / "daily" / "2026-03-20" / "AAPL" / "complete_report.json"
+    assert expected.exists()
+    # load with lowercase should still work
+    loaded = report_store.load_analysis("2026-03-20", "aapl")
+    assert loaded == data
 
 
 # ---------------------------------------------------------------------------
@@ -63,14 +72,16 @@ def test_analysis_ticker_stored_as_uppercase(report_store, tmp_reports):
 
 def test_save_and_load_holding_review(report_store):
     """save_holding_review() then load_holding_review() must round-trip."""
-    # TODO: implement
-    raise NotImplementedError
+    data = {"ticker": "MSFT", "verdict": "HOLD", "price_target": 420.0}
+    report_store.save_holding_review("2026-03-20", "MSFT", data)
+    loaded = report_store.load_holding_review("2026-03-20", "MSFT")
+    assert loaded == data
 
 
 def test_load_holding_review_returns_none_for_missing(report_store):
     """load_holding_review() must return None when the file does not exist."""
-    # TODO: implement
-    raise NotImplementedError
+    result = report_store.load_holding_review("1900-01-01", "ZZZZ")
+    assert result is None
 
 
 # ---------------------------------------------------------------------------
@@ -80,8 +91,10 @@ def test_load_holding_review_returns_none_for_missing(report_store):
 
 def test_save_and_load_risk_metrics(report_store):
     """save_risk_metrics() then load_risk_metrics() must round-trip."""
-    # TODO: implement
-    raise NotImplementedError
+    data = {"sharpe": 1.35, "sortino": 1.8, "max_drawdown": -0.12}
+    report_store.save_risk_metrics("2026-03-20", "pid-123", data)
+    loaded = report_store.load_risk_metrics("2026-03-20", "pid-123")
+    assert loaded == data
 
 
 # ---------------------------------------------------------------------------
@@ -91,37 +104,46 @@ def test_save_and_load_risk_metrics(report_store):
 
 def test_save_and_load_pm_decision_json(report_store):
     """save_pm_decision() then load_pm_decision() must round-trip JSON."""
-    # TODO: implement
-    # decision = {"sells": [], "buys": [{"ticker": "AAPL", "shares": 10}]}
-    # report_store.save_pm_decision("2026-03-20", "pid-123", decision)
-    # loaded = report_store.load_pm_decision("2026-03-20", "pid-123")
-    # assert loaded == decision
-    raise NotImplementedError
+    decision = {"sells": [], "buys": [{"ticker": "AAPL", "shares": 10}]}
+    report_store.save_pm_decision("2026-03-20", "pid-123", decision)
+    loaded = report_store.load_pm_decision("2026-03-20", "pid-123")
+    assert loaded == decision
 
 
 def test_save_pm_decision_writes_markdown_when_provided(report_store, tmp_reports):
     """When markdown is passed to save_pm_decision(), .md file must be written."""
-    # TODO: implement
-    raise NotImplementedError
+    decision = {"sells": [], "buys": []}
+    md_text = "# Decision\n\nHold everything."
+    report_store.save_pm_decision("2026-03-20", "pid-123", decision, markdown=md_text)
+    md_path = tmp_reports / "daily" / "2026-03-20" / "portfolio" / "pid-123_pm_decision.md"
+    assert md_path.exists()
+    assert md_path.read_text(encoding="utf-8") == md_text
 
 
 def test_save_pm_decision_no_markdown_file_when_not_provided(report_store, tmp_reports):
     """When markdown=None, no .md file should be written."""
-    # TODO: implement
-    raise NotImplementedError
+    decision = {"sells": [], "buys": []}
+    report_store.save_pm_decision("2026-03-20", "pid-123", decision, markdown=None)
+    md_path = tmp_reports / "daily" / "2026-03-20" / "portfolio" / "pid-123_pm_decision.md"
+    assert not md_path.exists()
 
 
 def test_load_pm_decision_returns_none_for_missing(report_store):
     """load_pm_decision() must return None when the file does not exist."""
-    # TODO: implement
-    raise NotImplementedError
+    result = report_store.load_pm_decision("1900-01-01", "pid-none")
+    assert result is None
 
 
 def test_list_pm_decisions(report_store):
     """list_pm_decisions() must return all saved decision paths, newest first."""
-    # TODO: implement
-    # Save decisions for multiple dates, verify order
-    raise NotImplementedError
+    dates = ["2026-03-18", "2026-03-19", "2026-03-20"]
+    for d in dates:
+        report_store.save_pm_decision(d, "pid-abc", {"date": d})
+    paths = report_store.list_pm_decisions("pid-abc")
+    assert len(paths) == 3
+    # Sorted newest first by ISO date string ordering
+    date_parts = [p.parent.parent.name for p in paths]
+    assert date_parts == sorted(dates, reverse=True)
 
 
 # ---------------------------------------------------------------------------
@@ -131,15 +153,24 @@ def test_list_pm_decisions(report_store):
 
 def test_directories_created_on_write(report_store, tmp_reports):
     """Directories must be created automatically on first write."""
-    # TODO: implement
-    # assert not (tmp_reports / "daily" / "2026-03-20" / "portfolio").exists()
-    # report_store.save_risk_metrics("2026-03-20", "pid-123", {"sharpe": 1.2})
-    # assert (tmp_reports / "daily" / "2026-03-20" / "portfolio").is_dir()
-    raise NotImplementedError
+    target_dir = tmp_reports / "daily" / "2026-03-20" / "portfolio"
+    assert not target_dir.exists()
+    report_store.save_risk_metrics("2026-03-20", "pid-123", {"sharpe": 1.2})
+    assert target_dir.is_dir()
 
 
 def test_json_formatted_with_indent(report_store, tmp_reports):
     """Written JSON files must use indent=2 for human readability."""
-    # TODO: implement
-    # Write a file, read the raw bytes, verify indentation
-    raise NotImplementedError
+    data = {"key": "value", "nested": {"a": 1}}
+    path = report_store.save_scan("2026-03-20", data)
+    raw = path.read_text(encoding="utf-8")
+    # indent=2 means lines like '  "key": ...'
+    assert '  "key"' in raw
+
+
+def test_read_json_raises_on_corrupt_file(report_store, tmp_reports):
+    """_read_json must raise ReportStoreError for corrupt JSON."""
+    corrupt = tmp_reports / "corrupt.json"
+    corrupt.write_text("not valid json{{{", encoding="utf-8")
+    with pytest.raises(ReportStoreError):
+        report_store._read_json(corrupt)

tradingagents/portfolio/migrations/001_initial_schema.sql

@@ -65,16 +65,14 @@ CREATE TABLE IF NOT EXISTS trades (
     trade_id      UUID          PRIMARY KEY DEFAULT gen_random_uuid(),
     portfolio_id  UUID          NOT NULL REFERENCES portfolios(portfolio_id) ON DELETE CASCADE,
     ticker        TEXT          NOT NULL,
-    action        TEXT          NOT NULL,
+    action        TEXT          NOT NULL CHECK (action IN ('BUY', 'SELL')),
     shares        NUMERIC(18,6) NOT NULL CHECK (shares > 0),
     price         NUMERIC(18,4) NOT NULL CHECK (price > 0),
     total_value   NUMERIC(18,4) NOT NULL CHECK (total_value > 0),
     trade_date    TIMESTAMPTZ   NOT NULL DEFAULT NOW(),
     rationale     TEXT,                               -- PM agent rationale for this trade
     signal_source TEXT,                               -- 'scanner' | 'holding_review' | 'pm_agent'
-    metadata      JSONB         NOT NULL DEFAULT '{}',
-
-    CONSTRAINT trades_action_values CHECK (action IN ('BUY', 'SELL'))
+    metadata      JSONB         NOT NULL DEFAULT '{}'
 );
 
 COMMENT ON TABLE trades IS

tradingagents/portfolio/models.py

@@ -6,11 +6,26 @@ All models are Python ``dataclass`` types with:
 - ``from_dict()`` class method for deserialisation
 - ``enrich()`` for attaching runtime-computed fields
 
+**float vs Decimal** — monetary fields (cash, price, shares, etc.) use plain
+``float`` throughout.  Rationale:
+
+1. This is **mock trading only** — no real money changes hands.  The cost of a
+   subtle floating-point rounding error is zero.
+2. All upstream data sources (yfinance, Alpha Vantage, Finnhub) return ``float``
+   already.  Converting to ``Decimal`` at the boundary would require a custom
+   JSON encoder *and* decoder everywhere, for no practical gain.
+3. ``json.dumps`` serialises ``float`` natively; ``Decimal`` raises
+   ``TypeError`` without a custom encoder.
+4. If this ever becomes real-money trading, replace ``float`` with
+   ``decimal.Decimal`` and add a ``DecimalEncoder`` — the interface is
+   identical and the change is localised to this file.
+
 See ``docs/portfolio/02_data_models.md`` for full field specifications.
 """
 
 from __future__ import annotations
 
+import json
 from dataclasses import dataclass, field
 from typing import Any
 
@@ -48,8 +63,17 @@ class Portfolio:
 
         Runtime-computed fields are excluded.
         """
-        # TODO: implement
-        raise NotImplementedError
+        return {
+            "portfolio_id": self.portfolio_id,
+            "name": self.name,
+            "cash": self.cash,
+            "initial_cash": self.initial_cash,
+            "currency": self.currency,
+            "created_at": self.created_at,
+            "updated_at": self.updated_at,
+            "report_path": self.report_path,
+            "metadata": self.metadata,
+        }
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]) -> "Portfolio":
@@ -57,8 +81,17 @@ class Portfolio:
 
         Missing optional fields default gracefully. Extra keys are ignored.
         """
-        # TODO: implement
-        raise NotImplementedError
+        return cls(
+            portfolio_id=data["portfolio_id"],
+            name=data["name"],
+            cash=float(data["cash"]),
+            initial_cash=float(data["initial_cash"]),
+            currency=data.get("currency", "USD"),
+            created_at=data.get("created_at", ""),
+            updated_at=data.get("updated_at", ""),
+            report_path=data.get("report_path"),
+            metadata=data.get("metadata") or {},
+        )
 
     def enrich(self, holdings: list["Holding"]) -> "Portfolio":
         """Compute total_value, equity_value, cash_pct from holdings.
@@ -69,8 +102,12 @@ class Portfolio:
             holdings: List of Holding objects with current_value populated
                       (i.e., ``holding.enrich()`` already called).
         """
-        # TODO: implement
-        raise NotImplementedError
+        self.equity_value = sum(
+            h.current_value for h in holdings if h.current_value is not None
+        )
+        self.total_value = self.cash + self.equity_value
+        self.cash_pct = self.cash / self.total_value if self.total_value != 0.0 else 0.0
+        return self
 
 
 # ---------------------------------------------------------------------------
@@ -106,14 +143,32 @@ class Holding:
 
     def to_dict(self) -> dict[str, Any]:
         """Serialise stored fields only (runtime-computed fields excluded)."""
-        # TODO: implement
-        raise NotImplementedError
+        return {
+            "holding_id": self.holding_id,
+            "portfolio_id": self.portfolio_id,
+            "ticker": self.ticker,
+            "shares": self.shares,
+            "avg_cost": self.avg_cost,
+            "sector": self.sector,
+            "industry": self.industry,
+            "created_at": self.created_at,
+            "updated_at": self.updated_at,
+        }
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]) -> "Holding":
         """Deserialise from a DB row or JSON dict."""
-        # TODO: implement
-        raise NotImplementedError
+        return cls(
+            holding_id=data["holding_id"],
+            portfolio_id=data["portfolio_id"],
+            ticker=data["ticker"],
+            shares=float(data["shares"]),
+            avg_cost=float(data["avg_cost"]),
+            sector=data.get("sector"),
+            industry=data.get("industry"),
+            created_at=data.get("created_at", ""),
+            updated_at=data.get("updated_at", ""),
+        )
 
     def enrich(self, current_price: float, portfolio_total_value: float) -> "Holding":
         """Populate runtime-computed fields in-place and return self.
@@ -129,8 +184,17 @@ class Holding:
             current_price: Latest market price for this ticker.
             portfolio_total_value: Total portfolio value (cash + equity).
         """
-        # TODO: implement
-        raise NotImplementedError
+        self.current_price = current_price
+        self.current_value = current_price * self.shares
+        self.cost_basis = self.avg_cost * self.shares
+        self.unrealized_pnl = self.current_value - self.cost_basis
+        self.unrealized_pnl_pct = (
+            self.unrealized_pnl / self.cost_basis if self.cost_basis != 0.0 else 0.0
+        )
+        self.weight = (
+            self.current_value / portfolio_total_value if portfolio_total_value != 0.0 else 0.0
+        )
+        return self
 
 
 # ---------------------------------------------------------------------------
@@ -159,14 +223,36 @@ class Trade:
 
     def to_dict(self) -> dict[str, Any]:
         """Serialise all fields."""
-        # TODO: implement
-        raise NotImplementedError
+        return {
+            "trade_id": self.trade_id,
+            "portfolio_id": self.portfolio_id,
+            "ticker": self.ticker,
+            "action": self.action,
+            "shares": self.shares,
+            "price": self.price,
+            "total_value": self.total_value,
+            "trade_date": self.trade_date,
+            "rationale": self.rationale,
+            "signal_source": self.signal_source,
+            "metadata": self.metadata,
+        }
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]) -> "Trade":
         """Deserialise from a DB row or JSON dict."""
-        # TODO: implement
-        raise NotImplementedError
+        return cls(
+            trade_id=data["trade_id"],
+            portfolio_id=data["portfolio_id"],
+            ticker=data["ticker"],
+            action=data["action"],
+            shares=float(data["shares"]),
+            price=float(data["price"]),
+            total_value=float(data["total_value"]),
+            trade_date=data.get("trade_date", ""),
+            rationale=data.get("rationale"),
+            signal_source=data.get("signal_source"),
+            metadata=data.get("metadata") or {},
+        )
 
 
 # ---------------------------------------------------------------------------
@@ -194,8 +280,17 @@ class PortfolioSnapshot:
 
     def to_dict(self) -> dict[str, Any]:
         """Serialise all fields. ``holdings_snapshot`` is already a list[dict]."""
-        # TODO: implement
-        raise NotImplementedError
+        return {
+            "snapshot_id": self.snapshot_id,
+            "portfolio_id": self.portfolio_id,
+            "snapshot_date": self.snapshot_date,
+            "total_value": self.total_value,
+            "cash": self.cash,
+            "equity_value": self.equity_value,
+            "num_positions": self.num_positions,
+            "holdings_snapshot": self.holdings_snapshot,
+            "metadata": self.metadata,
+        }
 
     @classmethod
     def from_dict(cls, data: dict[str, Any]) -> "PortfolioSnapshot":
@@ -203,5 +298,17 @@ class PortfolioSnapshot:
 
         ``holdings_snapshot`` is parsed from a JSON string when needed.
         """
-        # TODO: implement
-        raise NotImplementedError
+        holdings_snapshot = data.get("holdings_snapshot", [])
+        if isinstance(holdings_snapshot, str):
+            holdings_snapshot = json.loads(holdings_snapshot)
+        return cls(
+            snapshot_id=data["snapshot_id"],
+            portfolio_id=data["portfolio_id"],
+            snapshot_date=data["snapshot_date"],
+            total_value=float(data["total_value"]),
+            cash=float(data["cash"]),
+            equity_value=float(data["equity_value"]),
+            num_positions=int(data["num_positions"]),
+            holdings_snapshot=holdings_snapshot,
+            metadata=data.get("metadata") or {},
+        )

tradingagents/portfolio/report_store.py

@@ -28,9 +28,12 @@ Usage::
 
 from __future__ import annotations
 
+import json
 from pathlib import Path
 from typing import Any
 
+from tradingagents.portfolio.exceptions import ReportStoreError
+
 
 class ReportStore:
     """Filesystem document store for all portfolio-related reports.
@@ -48,8 +51,7 @@ class ReportStore:
                       Override via the ``PORTFOLIO_DATA_DIR`` env var or
                       ``get_portfolio_config()["data_dir"]``.
         """
-        # TODO: implement — store Path(base_dir), resolve as needed
-        raise NotImplementedError
+        self._base_dir = Path(base_dir)
 
     # ------------------------------------------------------------------
     # Internal helpers
@@ -60,8 +62,7 @@ class ReportStore:
 
         Path: ``{base_dir}/daily/{date}/portfolio/``
         """
-        # TODO: implement
-        raise NotImplementedError
+        return self._base_dir / "daily" / date / "portfolio"
 
     def _write_json(self, path: Path, data: dict[str, Any]) -> Path:
         """Write a dict to a JSON file, creating parent directories as needed.
@@ -76,8 +77,12 @@ class ReportStore:
         Raises:
             ReportStoreError: On filesystem write failure.
         """
-        # TODO: implement
-        raise NotImplementedError
+        try:
+            path.parent.mkdir(parents=True, exist_ok=True)
+            path.write_text(json.dumps(data, indent=2), encoding="utf-8")
+            return path
+        except OSError as exc:
+            raise ReportStoreError(f"Failed to write {path}: {exc}") from exc
 
     def _read_json(self, path: Path) -> dict[str, Any] | None:
         """Read a JSON file, returning None if the file does not exist.
@@ -85,8 +90,12 @@ class ReportStore:
         Raises:
             ReportStoreError: On JSON parse error (file exists but is corrupt).
         """
-        # TODO: implement
-        raise NotImplementedError
+        if not path.exists():
+            return None
+        try:
+            return json.loads(path.read_text(encoding="utf-8"))
+        except json.JSONDecodeError as exc:
+            raise ReportStoreError(f"Corrupt JSON at {path}: {exc}") from exc
 
     # ------------------------------------------------------------------
     # Macro Scan
@@ -104,13 +113,13 @@ class ReportStore:
         Returns:
             Path of the written file.
         """
-        # TODO: implement
-        raise NotImplementedError
+        path = self._base_dir / "daily" / date / "market" / "macro_scan_summary.json"
+        return self._write_json(path, data)
 
     def load_scan(self, date: str) -> dict[str, Any] | None:
         """Load macro scan summary. Returns None if the file does not exist."""
-        # TODO: implement
-        raise NotImplementedError
+        path = self._base_dir / "daily" / date / "market" / "macro_scan_summary.json"
+        return self._read_json(path)
 
     # ------------------------------------------------------------------
     # Per-Ticker Analysis
@@ -126,13 +135,13 @@ class ReportStore:
             ticker: Ticker symbol (stored as uppercase).
             data: Analysis output dict.
         """
-        # TODO: implement
-        raise NotImplementedError
+        path = self._base_dir / "daily" / date / ticker.upper() / "complete_report.json"
+        return self._write_json(path, data)
 
     def load_analysis(self, date: str, ticker: str) -> dict[str, Any] | None:
         """Load per-ticker analysis JSON. Returns None if the file does not exist."""
-        # TODO: implement
-        raise NotImplementedError
+        path = self._base_dir / "daily" / date / ticker.upper() / "complete_report.json"
+        return self._read_json(path)
 
     # ------------------------------------------------------------------
     # Holding Reviews
@@ -153,13 +162,13 @@ class ReportStore:
             ticker: Ticker symbol (stored as uppercase).
             data: HoldingReviewerAgent output dict.
         """
-        # TODO: implement
-        raise NotImplementedError
+        path = self._portfolio_dir(date) / f"{ticker.upper()}_holding_review.json"
+        return self._write_json(path, data)
 
     def load_holding_review(self, date: str, ticker: str) -> dict[str, Any] | None:
         """Load holding review output. Returns None if the file does not exist."""
-        # TODO: implement
-        raise NotImplementedError
+        path = self._portfolio_dir(date) / f"{ticker.upper()}_holding_review.json"
+        return self._read_json(path)
 
     # ------------------------------------------------------------------
     # Risk Metrics
@@ -180,8 +189,8 @@ class ReportStore:
             portfolio_id: UUID of the target portfolio.
             data: Risk metrics dict (Sharpe, Sortino, VaR, etc.).
         """
-        # TODO: implement
-        raise NotImplementedError
+        path = self._portfolio_dir(date) / f"{portfolio_id}_risk_metrics.json"
+        return self._write_json(path, data)
 
     def load_risk_metrics(
         self,
@@ -189,8 +198,8 @@ class ReportStore:
         portfolio_id: str,
     ) -> dict[str, Any] | None:
         """Load risk metrics. Returns None if the file does not exist."""
-        # TODO: implement
-        raise NotImplementedError
+        path = self._portfolio_dir(date) / f"{portfolio_id}_risk_metrics.json"
+        return self._read_json(path)
 
     # ------------------------------------------------------------------
     # PM Decisions
@@ -218,8 +227,15 @@ class ReportStore:
         Returns:
             Path of the written JSON file.
         """
-        # TODO: implement
-        raise NotImplementedError
+        json_path = self._portfolio_dir(date) / f"{portfolio_id}_pm_decision.json"
+        self._write_json(json_path, data)
+        if markdown is not None:
+            md_path = self._portfolio_dir(date) / f"{portfolio_id}_pm_decision.md"
+            try:
+                md_path.write_text(markdown, encoding="utf-8")
+            except OSError as exc:
+                raise ReportStoreError(f"Failed to write {md_path}: {exc}") from exc
+        return json_path
 
     def load_pm_decision(
         self,
@@ -227,8 +243,8 @@ class ReportStore:
         portfolio_id: str,
     ) -> dict[str, Any] | None:
         """Load PM decision JSON. Returns None if the file does not exist."""
-        # TODO: implement
-        raise NotImplementedError
+        path = self._portfolio_dir(date) / f"{portfolio_id}_pm_decision.json"
+        return self._read_json(path)
 
     def list_pm_decisions(self, portfolio_id: str) -> list[Path]:
         """Return all saved PM decision JSON paths for portfolio_id, newest first.
@@ -241,5 +257,5 @@ class ReportStore:
         Returns:
             Sorted list of Path objects, newest date first.
         """
-        # TODO: implement
-        raise NotImplementedError
+        pattern = f"daily/*/portfolio/{portfolio_id}_pm_decision.json"
+        return sorted(self._base_dir.glob(pattern), reverse=True)