GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Fix a multi-currency brokerage ledger codebase with interacting planted bugs

{"type": "thread.started", "thread_id": "01a16403-d433-7872-8457-d186fe58a8b4"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll inspect the ledger and sample files, fix the interacting rules, then verify the results with focused edge cases.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g '\"'! .git'\"'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g '\"'! .git'\"'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/120_m01/work\ninput.json\nprices.csv\nsolve.py\nTASK.md\ntransactions.csv\nrates.csv\nledger/report.py\nledger/lots.py\nledger/ledger.py\nledger/__init__.py\nledger/money.py\nledger/prices.py\nledger/io_csv.py\nledger/rates.py\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat solve.py ledger/*.py input.json transactions.csv rates.csv prices.csv'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat solve.py ledger/*.py input.json transactions.csv rates.csv prices.csv'", "aggregated_output": "\"\"\"Entry point: python solve.py input.json answer.json\"\"\"\nimport json, sys\nfrom ledger.io_csv import read_table\nfrom ledger.rates import RateTable\nfrom ledger.prices import PriceTable\nfrom ledger.ledger import Ledger\nfrom ledger.report import build_report\n\n\ndef main(inp, out):\n    cfg = json.load(open(inp))\n    rates = RateTable(cfg[\"base\"], read_table(cfg[\"rates\"]))\n    prices = PriceTable(read_table(cfg[\"prices\"]))\n    led = Ledger(cfg[\"base\"], rates)\n    for row in read_table(cfg[\"transactions\"]):\n        led.apply(row)\n    json.dump(build_report(led, prices, rates, cfg[\"as_of\"]), open(out, \"w\"), indent=1)\n\n\nif __name__ == \"__main__\":\n    main(sys.argv[1], sys.argv[2])\n\"\"\"Small multi-currency brokerage ledger. See TASK.md for the specification.\"\"\"\n\"\"\"CSV reading with the input quirks described in the spec (comments, blank lines, BOM, padded headers).\"\"\"\nimport csv\n\n\ndef read_table(path):\n    rows = []\n    with open(path, encoding=\"utf-8-sig\", newline=\"\") as fh:\n        lines = [ln for ln in fh if ln.strip() and not ln.lstrip().startswith(\"#\")]\n    reader = csv.reader(lines)\n    header = None\n    for n, rec in enumerate(reader):\n        if header is None:\n            header = [h.strip().lower() for h in rec]\n            continue\n        rec = [c.strip() for c in rec]\n        if len(rec) < len(header):\n            rec += [\"\"] * (len(header) - len(rec))\n        row = dict(zip(header, rec))\n        row[\"_line\"] = n\n        rows.append(row)\n    return rows\n\"\"\"Applies transactions. See TASK.md for every rule; rejects are recorded, never raised.\"\"\"\nfrom .money import D, q2\nfrom .lots import Lots\n\nTYPES = {\"DEPOSIT\", \"WITHDRAW\", \"TRANSFER\", \"BUY\", \"SELL\", \"DIV\", \"FEE\"}\n\n\nclass Ledger:\n    def __init__(self, base, rates):\n        self.base = base\n        self.rates = rates\n        self.cash = {}        # account -> currency -> Decimal\n        self.lots = {}        # (account, symbol) -> Lots\n        self.realized = {}    # account -> Decimal (base)\n        self.income = {}      # account -> Decimal (base): dividends minus fees\n        self.rejects = []\n        self.applied = 0\n\n    # helpers -------------------------------------------------------------\n    def _cash(self, acct, ccy):\n        return self.cash.setdefault(acct, {}).get(ccy, D(0))\n\n    def _add_cash(self, acct, ccy, amt):\n        self.cash.setdefault(acct, {})[ccy] = self._cash(acct, ccy) + amt\n\n    def _reject(self, row, why):\n        self.rejects.append({\"line\": row[\"_line\"], \"reason\": why})\n\n    def _base(self, row, amt, ccy):\n        b = self.rates.to_base(amt, ccy, row[\"date\"])\n        if b is None:\n            return None\n        return q2(b)\n\n    # main ----------------------------------------------------------------\n    def apply(self, row):\n        typ = row.get(\"type\", \"\").upper()\n        if typ not in TYPES:\n            return self._reject(row, \"bad_type\")\n        acct = row.get(\"account\", \"\")\n        if not acct:\n            return self._reject(row, \"bad_account\")\n        ccy = row.get(\"currency\", \"\").upper() or self.base\n        try:\n            amt = D(row.get(\"amount\", \"0\") or \"0\")\n            qty = D(row.get(\"qty\", \"0\") or \"0\")\n        except ValueError:\n            return self._reject(row, \"bad_number\")\n        if amt < 0 or qty < 0:\n            return self._reject(row, \"negative_value\")\n        if self.rates.rate(ccy, row[\"date\"]) is None:\n            return self._reject(row, \"no_rate\")\n        getattr(self, \"_\" + typ.lower())(row, acct, ccy, amt, qty)\n\n    def _deposit(self, row, acct, ccy, amt, qty):\n        self._add_cash(acct, ccy, amt)\n        self.applied += 1\n\n    def _withdraw(self, row, acct, ccy, amt, qty):\n        if self._cash(acct, ccy) < amt:\n            return self._reject(row, \"insufficient_cash\")\n        self._add_cash(acct, ccy, -amt)\n        self.applied += 1\n\n    def _transfer(self, row, acct, ccy, amt, qty):\n        memo = row.get(\"memo\", \"\")\n        if not memo.lower().startswith(\"to:\") or not memo[3:].strip():\n            return self._reject(row, \"bad_transfer\")\n        dest = memo[3:].strip()\n        if dest == acct:\n            return self._reject(row, \"bad_transfer\")\n        if self._cash(acct, ccy) < amt:\n            return self._reject(row, \"insufficient_cash\")\n        self._add_cash(acct, ccy, -amt)\n        self._add_cash(dest, self.base, self._base(row, amt, ccy))\n        self.applied += 1\n\n    def _buy(self, row, acct, ccy, amt, qty):\n        sym = row.get(\"symbol\", \"\").upper()\n        if not sym or qty == 0:\n            return self._reject(row, \"bad_trade\")\n        if self._cash(acct, ccy) < amt:\n            return self._reject(row, \"insufficient_cash\")\n        self._add_cash(acct, ccy, -amt)\n        self.lots.setdefault((acct, sym), Lots()).add(qty, self._base(row, amt, ccy))\n        self.applied += 1\n\n    def _sell(self, row, acct, ccy, amt, qty):\n        sym = row.get(\"symbol\", \"\").upper()\n        if not sym or qty == 0:\n            return self._reject(row, \"bad_trade\")\n        lots = self.lots.get((acct, sym))\n        if lots is None or lots.qty() < qty:\n            return self._reject(row, \"insufficient_qty\")\n        basis = lots.relieve(qty)\n        proceeds = self._base(row, amt, ccy)\n        self.realized[acct] = self.realized.get(acct, D(0)) + proceeds - basis\n        self._add_cash(acct, ccy, amt)\n        self.applied += 1\n\n    def _div(self, row, acct, ccy, amt, qty):\n        self._add_cash(acct, ccy, amt)\n        self.income[acct] = self.income.get(acct, D(0)) + self._base(row, amt, ccy)\n        self.applied += 1\n\n    def _fee(self, row, acct, ccy, amt, qty):\n        self._add_cash(acct, ccy, -amt)\n        self.income[acct] = self.income.get(acct, D(0)) - self._base(row, amt, ccy)\n        self.applied += 1\n\"\"\"Tax lots per (account, symbol). Cost basis is kept in base currency, in cents.\"\"\"\nfrom .money import D, q2\n\n\nclass Lots:\n    def __init__(self):\n        self.lots = []  # list of [qty, cost_base] in acquisition order\n\n    def add(self, qty, cost_base):\n        self.lots.append([D(qty), q2(cost_base)])\n\n    def qty(self):\n        return sum((l[0] for l in self.lots), D(0))\n\n    def cost(self):\n        return sum((l[1] for l in self.lots), D(0))\n\n    def relieve(self, qty):\n        \"\"\"Remove qty using FIFO; return the cost basis relieved (base currency, cents).\"\"\"\n        qty = D(qty)\n        relieved = D(0)\n        while qty > 0:\n            lot = self.lots[-1]\n            take = min(qty, lot[0])\n            if take == lot[0]:\n                part = lot[1]\n                self.lots.pop()\n            else:\n                part = q2(lot[1] * take / lot[0])\n                lot[0] -= take\n                lot[1] -= part\n            relieved += part\n            qty -= take\n        return relieved\n\"\"\"Money helpers. All money is Decimal; base-currency amounts are rounded to cents per the spec.\"\"\"\nfrom decimal import Decimal, ROUND_HALF_EVEN, InvalidOperation\n\nCENT = Decimal(\"0.01\")\n\n\ndef D(x):\n    \"\"\"Parse a money/quantity string or number into Decimal. Raises ValueError on junk.\"\"\"\n    if isinstance(x, Decimal):\n        return x\n    s = str(x).strip().replace(\"_\", \"\")\n    if s.startswith(\"(\") and s.endswith(\")\"):\n        s = \"-\" + s[1:-1]\n    try:\n        return Decimal(s)\n    except InvalidOperation:\n        raise ValueError(f\"bad number {x!r}\")\n\n\ndef q2(x):\n    \"\"\"Round to cents.\"\"\"\n    return D(x).quantize(CENT, rounding=ROUND_HALF_EVEN)\n\n\ndef fmt(x):\n    return float(q2(x))\n\"\"\"Security prices: last close on or before a date, quoted in the security's currency.\"\"\"\nimport bisect\nfrom .money import D\n\n\nclass PriceTable:\n    def __init__(self, rows):\n        self.p = {}\n        for r in rows:\n            self.p.setdefault(r[\"symbol\"].upper(), []).append((r[\"date\"], D(r[\"close\"]), r[\"currency\"].upper()))\n        for v in self.p.values():\n            v.sort()\n\n    def last(self, sym, date):\n        v = self.p.get(sym.upper(), [])\n        i = bisect.bisect_right([d for d, _, _ in v], date) - 1\n        return None if i < 0 else (v[i][1], v[i][2])\n\"\"\"FX rates: units of base currency per 1 unit of a currency, by date (YYYY-MM-DD).\"\"\"\nimport bisect\nfrom .money import D\n\n\nclass RateTable:\n    def __init__(self, base, rows):\n        self.base = base\n        self.by_ccy = {}\n        for r in rows:\n            self.by_ccy.setdefault(r[\"currency\"].upper(), []).append((r[\"date\"], D(r[\"rate\"])))\n        for v in self.by_ccy.values():\n            v.sort()\n        self.dates = {c: [d for d, _ in v] for c, v in self.by_ccy.items()}\n\n    def rate(self, ccy, date):\n        \"\"\"Most recent rate on or before date; None if there is none.\"\"\"\n        ccy = ccy.upper()\n        if ccy == self.base:\n            return D(1)\n        if ccy not in self.by_ccy:\n            return None\n        i = bisect.bisect_left(self.dates[ccy], date) - 1\n        if i < 0:\n            return None\n        return self.by_ccy[ccy][i][1]\n\n    def to_base(self, amount, ccy, date):\n        r = self.rate(ccy, date)\n        return None if r is None else D(amount) * r\n\"\"\"Builds answer.json from a finished Ledger.\"\"\"\nfrom .money import D, q2, fmt\n\n\ndef build_report(led, prices, rates, as_of):\n    accounts = sorted(set(led.cash) | {a for a, _ in led.lots} | set(led.realized) | set(led.income))\n    out = {\"accounts\": {}, \"rejects\": led.rejects, \"applied\": led.applied}\n    grand = D(0)\n    for a in accounts:\n        cash = {c: fmt(v) for c, v in sorted(led.cash.get(a, {}).items()) if v != 0}\n        hold = {}\n        mv = D(0)\n        for (acct, sym), lots in sorted(led.lots.items()):\n            if acct != a or lots.qty() == 0:\n                continue\n            px = prices.last(sym, as_of)\n            value = None\n            if px is not None:\n                value = q2(rates.to_base(lots.qty() * px[0], px[1], as_of))\n                mv += value\n            hold[sym] = {\"qty\": float(lots.qty()), \"cost_base\": fmt(lots.cost()), \"value_base\": None if value is None else fmt(value)}\n        cash_base = sum((q2(rates.to_base(v, c, as_of)) for c, v in led.cash.get(a, {}).items()), D(0))\n        total = q2(cash_base + mv)\n        grand += total\n        out[\"accounts\"][a] = {\"cash\": cash, \"holdings\": hold, \"realized_base\": fmt(led.realized.get(a, 0)),\n                              \"income_base\": fmt(led.income.get(a, 0)), \"total_value_base\": fmt(total)}\n    out[\"grand_total_base\"] = fmt(grand)\n    return out\n{\"base\": \"USD\", \"as_of\": \"2026-04-15\", \"transactions\": \"transactions.csv\", \"rates\": \"rates.csv\", \"prices\": \"prices.csv\"}\ufeff# exported ledger\n Date , Type , Account , Amount , Currency , Symbol , Qty , Memo\n\n\n\n\n\n\n2026-03-02,DEPOSIT,brk1,5750.00,USD,,,initial\n2026-03-02,DEPOSIT,brk1,14250.00,EUR,,,initial\n2026-03-02,DEPOSIT,brk1,9750.00,GBP,,,initial\n2026-03-02,DEPOSIT,brk2,11750.00,USD,,,initial\n2026-03-02,DEPOSIT,brk2,13250.00,EUR,,,initial\n2026-03-02,DEPOSIT,brk2,8500.00,GBP,,,initial\n2026-03-02,DEPOSIT,ira,7750.00,USD,,,initial\n2026-03-02,DEPOSIT,ira,6750.00,EUR,,,initial\n2026-03-02,DEPOSIT,ira,8750.00,GBP,,,initial\n2026-03-03,BUY,brk1,341.692,USD,DUNE,3,\n2026-03-03,SELL,ira,1033.72,USD,DUNE,9,\n2026-03-03,BUY,ira,427.888,EUR,BOLT,5,\n2026-03-04,SELL,brk1,222.32,USD,DUNE,2,\n2026-03-04,BUY,ira,448.722,GBP,CRWN,7,\n2026-03-05,BUY,ira,524.437,USD,DUNE,5,\n2026-03-05,FEE,ira,1.255,GBP,,,\n2026-03-05,SELL,ira,45.93,USD,ACME,2,\n2026-03-06,BUY,brk2,867.340,EUR,BOLT,10,\n2026-03-06,FEE,brk2,0.125,EUR,,,\n2026-03-07,BUY,brk2,327.830,USD,ACME,15,\n2026-03-07,BUY,brk1,844.860,GBP,CRWN,12,\n2026-03-08,BUY,ira,651.826,GBP,CRWN,10,\n2026-03-08,SELL,brk2,80.46,USD,ACME,4,\n2026-03-08,SELL,brk2,19.65,USD,ACME,1,\n2026-03-09,BUY,ira,547.464,EUR,BOLT,7,\n2026-03-09,WITHDRAW,brk2,6440.00,EUR,,,\n2026-03-09,TRANSFER,ira,58.58,GBP,,,to:brk2\n2026-03-10,SELL,brk1,435.52,EUR,BOLT,6,\n2026-03-10,DIV,brk2,18.948,USD,ACME,,\n2026-03-11,SELL,brk2,318.91,USD,DUNE,3,\n2026-03-11,BUY,brk1,1123.001,USD,DUNE,10,\n2026-03-11,SELL,brk2,340.77,EUR,BOLT,4,\n2026-03-11,BUY,brk2,151.495,USD,ACME,7,\n2026-03-12,TRANSFER,ira,15.15,EUR,,,to:brk2\n2026-03-13,SELL,brk1,79.04,EUR,BOLT,1,\n2026-03-13,DIV,ira,12.225,EUR,BOLT,,\n2026-03-15,SELL,brk1,74.22,GBP,CRWN,1,\n2026-03-15,FEE,ira,2.50,EUR,,,\n2026-03-15,DIV,brk1,1.833,USD,DUNE,,\n2026-03-16,TRANSFER,brk2,22.22,EUR,,,to:brk1\n2026-03-16,SELL,ira,174.67,USD,ACME,9,\n2026-03-16,BUY,brk1,834.495,GBP,CRWN,12,\n2026-03-16,BUY,brk1,253.472,EUR,BOLT,3,\n2026-03-17,BUY,ira,546.749,USD,DUNE,5,\n2026-03-17,DIV,brk1,5.724,USD,ACME,,\n2026-03-17,TRANSFER,ira,707.00,JPY,,,to:brk1\n2026-03-18,FEE,ira,2.50,GBP,,,\n2026-03-19,TRANSFER,brk2,38.38,USD,,,to:ira\n2026-03-19,BUY,brk2,1218.384,USD,DUNE,12,\n2026-03-20,BUY,brk1,1202.535,USD,DUNE,12,\n2026-03-21,BUY,brk2,306.582,GBP,CRWN,5,\n2026-03-21,SELL,brk1,182.09,EUR,BOLT,2,\n2026-03-21,FEE,brk1,(3.10),USD,,,\n2026-03-22,WITHDRAW,ira,2131.00,GBP,,,\n2026-03-22,BUY,brk1,147.226,USD,ACME,7,\n2026-03-22,SELL,brk2,49.33,USD,ACME,2,\n2026-03-22,TRANSFER,brk2,72.72,GBP,,,to:ira\n2026-03-23,DIV,ira,26.491,USD,DUNE,,\n2026-03-23,BUY,brk1,761.462,EUR,BOLT,10,\n2026-03-24,SELL,brk1,1042.45,USD,DUNE,9,\n2026-03-24,SELL,brk2,627.36,USD,DUNE,6,\n2026-03-24,TRANSFER,ira,15.15,EUR,,,to:ira\n2026-03-25,SELL,brk1,223.49,USD,DUNE,2,\n2026-03-25,BUY,ira,505.741,USD,DUNE,5,\n2026-03-25,BUY,brk1,341.893,USD,DUNE,3,\n2026-03-26,SELL,ira,100.97,USD,DUNE,1,\n2026-03-26,BUY,ira,757.703,USD,DUNE,7,\n2026-03-27,BUY,brk2,1100.033,GBP,CRWN,15,\n2026-03-27,TRANSFER,ira,15.15,EUR,,,to:brk2\n2026-03-28,FEE,brk1,1.255,GBP,,,\n2026-03-28,TRANSFER,brk1,68.68,GBP,,,to:ira\n2026-03-28,SELL,ira,49.08,USD,ACME,2,\n2026-03-29,SELL,ira,303.04,GBP,CRWN,4,\n2026-03-29,FEE,brk2,0.125,GBP,,,\n2026-03-29,BUY,ira,801.479,USD,DUNE,7,\n2026-03-29,BUY,brk1,381.600,EUR,BOLT,5,\n2026-03-30,BUY,brk1,1038.568,GBP,CRWN,15,\n2026-03-30,WITHDRAW,ira,6155.00,GBP,,,\n2026-03-31,DIV,brk1,10.148,USD,DUNE,,\n2026-04-01,BUY,brk1,97.814,USD,ACME,5,\n2026-04-01,SELL,brk2,66.36,USD,ACME,3,\n2026-04-02,DIV,brk2,2.443,USD,ACME,,\n2026-04-02,BUY,ira,181.507,GBP,CRWN,3,\n2026-04-02,BUY,ira,252.200,EUR,BOLT,3,\n2026-04-03,BUY,brk2,1369.739,USD,DUNE,12,\n2026-04-03,TRANSFER,brk1,5656.00,JPY,,,to:ira\n2026-04-03,WITHDRAW,brk1,6629.00,GBP,,,\n2026-04-03,BUY,brk1,791.369,EUR,BOLT,10,\n2026-04-03,DIV,brk1,23.250,USD,ACME,,\n2026-04-04,BUY,brk1,662.155,GBP,CRWN,10,\n2026-04-04,TRANSFER,brk1,71.71,EUR,,,to:ira\n2026-04-04,DIV,brk1,15.923,USD,ACME,,\n2026-04-06,TRANSFER,ira,3.03,USD,,,to:brk2\n2026-04-06,TRANSFER,brk1,58.58,EUR,,,to:brk2\n2026-04-07,FEE,brk1,4.005,GBP,,,\n2026-04-07,BUY,brk1,1376.551,USD,DUNE,12,\n2026-04-07,BUY,brk1,196.742,USD,ACME,10,\n2026-04-07,BUY,ira,60.282,USD,ACME,3,\n2026-04-08,BUY,brk1,379.258,EUR,BOLT,5,\n2026-04-09,TRANSFER,ira,40.40,GBP,,,to:brk1\n2026-04-10,BUY,brk1,336.416,USD,DUNE,3,\n2026-04-10,BUY,brk1,347.406,USD,ACME,15,\n2026-04-11,BUY,brk2,327.479,USD,ACME,15,\n2026-04-11,BUY,brk1,230.150,EUR,BOLT,3,\n2026-04-11,BUY,ira,736.730,EUR,BOLT,10,\n2026-04-11,BUY,brk1,186.146,GBP,CRWN,3,\n2026-04-12,SELL,ira,433.82,USD,DUNE,4,\n2026-04-12,FEE,brk2,2.50,EUR,,,\n2026-04-12,SELL,brk2,242.36,USD,DUNE,2,\n2026-04-12,SELL,brk2,22.63,USD,ACME,1,\n2026-04-12,SELL,ira,430.78,USD,DUNE,4,\n2026-04-13,DIV,brk1,10.984,GBP,CRWN,,\n2026-04-13,SELL,brk1,39.96,USD,ACME,2,\n2026-04-13,BUY,brk2,344.691,USD,ACME,15,\n2026-04-14,SELL,brk2,690.56,USD,DUNE,6,\n2026-04-14,SELL,brk2,70.80,USD,ACME,3,\n2026-04-14,SELL,brk2,428.40,EUR,BOLT,6,\n2026-04-14,BUY,ira,697.219,GBP,CRWN,10,\n2026-04-14,BUY,brk1,264.114,USD,ACME,12,\ndate,currency,rate\n2026-03-02,EUR,1.08\n2026-03-02,GBP,1.266\n2026-03-02,JPY,0.006783\n2026-03-04,EUR,1.075\n2026-03-04,GBP,1.2698\n2026-03-05,EUR,1.08\n2026-03-05,JPY,0.006787\n2026-03-06,EUR,1.0831\n2026-03-06,GBP,1.2774\n2026-03-09,GBP,1.283\n2026-03-09,JPY,0.006807\n2026-03-10,GBP,1.29\n2026-03-10,JPY,0.006812\n2026-03-11,EUR,1.0789\n2026-03-11,GBP,1.284\n2026-03-11,JPY,0.006810\n2026-03-12,EUR,1.08\n2026-03-12,GBP,1.28\n2026-03-13,EUR,1.08\n2026-03-13,GBP,1.278\n2026-03-13,JPY,0.006816\n2026-03-16,EUR,1.09\n2026-03-16,GBP,1.2837\n2026-03-16,JPY,0.006790\n2026-03-17,GBP,1.2847\n2026-03-18,EUR,1.0889\n2026-03-18,GBP,1.2809\n2026-03-18,JPY,0.006802\n2026-03-19,EUR,1.09\n2026-03-19,GBP,1.28\n2026-03-20,EUR,1.10\n2026-03-20,JPY,0.006830\n2026-03-23,EUR,1.098\n2026-03-23,JPY,0.006840\n2026-03-24,GBP,1.279\n2026-03-24,JPY,0.006823\n2026-03-25,EUR,1.1038\n2026-03-25,GBP,1.28\n2026-03-25,JPY,0.006804\n2026-03-26,EUR,1.104\n2026-03-26,GBP,1.2762\n2026-03-26,JPY,0.006807\n2026-03-27,EUR,1.10\n2026-03-27,GBP,1.2771\n2026-03-27,JPY,0.006840\n2026-03-30,EUR,1.100\n2026-03-30,GBP,1.27\n2026-03-30,JPY,0.006851\n2026-03-31,EUR,1.0998\n2026-03-31,GBP,1.28\n2026-04-01,EUR,1.1056\n2026-04-01,GBP,1.28\n2026-04-01,JPY,0.006854\n2026-04-02,EUR,1.10\n2026-04-02,GBP,1.281\n2026-04-02,JPY,0.006856\n2026-04-03,EUR,1.09\n2026-04-03,GBP,1.28\n2026-04-03,JPY,0.006844\n2026-04-06,EUR,1.08\n2026-04-06,JPY,0.006827\n2026-04-07,EUR,1.09\n2026-04-07,GBP,1.28\n2026-04-08,EUR,1.0856\n2026-04-08,GBP,1.28\n2026-04-08,JPY,0.006870\n2026-04-09,EUR,1.09\n2026-04-09,GBP,1.286\n2026-04-09,JPY,0.006858\n2026-04-10,GBP,1.28\n2026-04-10,JPY,0.006827\n2026-04-13,EUR,1.089\n2026-04-13,JPY,0.006818\n2026-04-14,GBP,1.27\n2026-04-14,JPY,0.006852\n2026-04-15,EUR,1.09\n2026-04-15,GBP,1.27\n2026-04-15,JPY,0.006821\ndate,symbol,close,currency\n2026-03-02,ACME,22.67,USD\n2026-03-02,BOLT,87.54,EUR\n2026-03-02,CRWN,66.96,GBP\n2026-03-02,DUNE,99.03,USD\n2026-03-03,ACME,22.81,USD\n2026-03-03,BOLT,88.94,EUR\n2026-03-03,CRWN,67.74,GBP\n2026-03-03,DUNE,98.45,USD\n2026-03-04,ACME,22.98,USD\n2026-03-04,BOLT,88.56,EUR\n2026-03-04,CRWN,69.15,GBP\n2026-03-04,DUNE,100.28,USD\n2026-03-05,ACME,22.74,USD\n2026-03-05,BOLT,88.47,EUR\n2026-03-05,CRWN,68.94,GBP\n2026-03-05,DUNE,98.64,USD\n2026-03-06,ACME,22.75,USD\n2026-03-06,BOLT,90.06,EUR\n2026-03-06,CRWN,68.05,GBP\n2026-03-06,DUNE,101.16,USD\n2026-03-09,ACME,22.68,USD\n2026-03-09,BOLT,86.55,EUR\n2026-03-09,CRWN,68.60,GBP\n2026-03-09,DUNE,101.59,USD\n2026-03-10,ACME,22.41,USD\n2026-03-10,BOLT,87.94,EUR\n2026-03-10,CRWN,70.79,GBP\n2026-03-10,DUNE,103.49,USD\n2026-03-11,ACME,22.85,USD\n2026-03-11,BOLT,87.93,EUR\n2026-03-11,CRWN,68.60,GBP\n2026-03-11,DUNE,103.57,USD\n2026-03-12,ACME,23.01,USD\n2026-03-12,BOLT,86.99,EUR\n2026-03-12,CRWN,68.71,GBP\n2026-03-12,DUNE,103.64,USD\n2026-03-13,ACME,22.72,USD\n2026-03-13,BOLT,85.80,EUR\n2026-03-13,CRWN,69.20,GBP\n2026-03-13,DUNE,104.91,USD\n2026-03-16,ACME,22.44,USD\n2026-03-16,BOLT,86.46,EUR\n2026-03-16,CRWN,68.93,GBP\n2026-03-16,DUNE,106.99,USD\n2026-03-17,ACME,22.48,USD\n2026-03-17,BOLT,86.50,EUR\n2026-03-17,CRWN,69.31,GBP\n2026-03-17,DUNE,108.30,USD\n2026-03-18,ACME,22.14,USD\n2026-03-18,BOLT,85.46,EUR\n2026-03-18,CRWN,69.57,GBP\n2026-03-18,DUNE,108.67,USD\n2026-03-19,ACME,22.22,USD\n2026-03-19,BOLT,83.45,EUR\n2026-03-19,CRWN,70.60,GBP\n2026-03-19,DUNE,109.53,USD\n2026-03-20,ACME,21.93,USD\n2026-03-20,BOLT,83.21,EUR\n2026-03-20,CRWN,71.88,GBP\n2026-03-20,DUNE,109.76,USD\n2026-03-23,ACME,21.99,USD\n2026-03-23,BOLT,82.77,EUR\n2026-03-23,CRWN,70.56,GBP\n2026-03-23,DUNE,109.18,USD\n2026-03-24,ACME,21.82,USD\n2026-03-24,BOLT,82.40,EUR\n2026-03-24,CRWN,71.41,GBP\n2026-03-24,DUNE,110.02,USD\n2026-03-25,ACME,21.75,USD\n2026-03-25,BOLT,83.12,EUR\n2026-03-25,CRWN,70.56,GBP\n2026-03-25,DUNE,108.81,USD\n2026-03-26,ACME,22.26,USD\n2026-03-26,BOLT,80.50,EUR\n2026-03-26,CRWN,71.24,GBP\n2026-03-26,DUNE,108.19,USD\n2026-03-27,ACME,22.18,USD\n2026-03-27,BOLT,81.98,EUR\n2026-03-27,CRWN,71.25,GBP\n2026-03-27,DUNE,107.37,USD\n2026-03-30,ACME,21.87,USD\n2026-03-30,BOLT,81.18,EUR\n2026-03-30,CRWN,70.95,GBP\n2026-03-30,DUNE,106.83,USD\n2026-03-31,ACME,22.02,USD\n2026-03-31,BOLT,81.10,EUR\n2026-03-31,CRWN,70.01,GBP\n2026-03-31,DUNE,105.57,USD\n2026-04-01,ACME,21.32,USD\n2026-04-01,BOLT,82.56,EUR\n2026-04-01,CRWN,69.89,GBP\n2026-04-01,DUNE,105.02,USD\n2026-04-02,ACME,21.16,USD\n2026-04-02,BOLT,81.88,EUR\n2026-04-02,CRWN,70.16,GBP\n2026-04-02,DUNE,107.96,USD\n2026-04-03,ACME,21.34,USD\n2026-04-03,BOLT,83.44,EUR\n2026-04-03,CRWN,70.16,GBP\n2026-04-03,DUNE,108.50,USD\n2026-04-06,ACME,21.56,USD\n2026-04-06,BOLT,83.93,EUR\n2026-04-06,CRWN,70.38,GBP\n2026-04-06,DUNE,108.63,USD\n2026-04-07,ACME,22.07,USD\n2026-04-07,BOLT,85.39,EUR\n2026-04-07,CRWN,69.48,GBP\n2026-04-07,DUNE,110.45,USD\n2026-04-08,ACME,21.70,USD\n2026-04-08,BOLT,84.92,EUR\n2026-04-08,CRWN,68.93,GBP\n2026-04-08,DUNE,108.30,USD\n2026-04-09,ACME,21.84,USD\n2026-04-09,BOLT,85.35,EUR\n2026-04-09,CRWN,70.66,GBP\n2026-04-09,DUNE,108.07,USD\n2026-04-10,ACME,21.76,USD\n2026-04-10,BOLT,82.21,EUR\n2026-04-10,CRWN,68.81,GBP\n2026-04-10,DUNE,107.14,USD\n2026-04-13,ACME,21.53,USD\n2026-04-13,BOLT,82.64,EUR\n2026-04-13,CRWN,68.72,GBP\n2026-04-13,DUNE,109.45,USD\n2026-04-14,ACME,21.25,USD\n2026-04-14,BOLT,80.35,EUR\n2026-04-14,CRWN,68.11,GBP\n2026-04-14,DUNE,109.10,USD\n2026-04-15,ACME,21.49,USD\n2026-04-15,BOLT,79.25,EUR\n2026-04-15,CRWN,66.83,GBP\n2026-04-15,DUNE,108.61,USD\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'cat TASK.md'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'cat TASK.md'", "aggregated_output": "# Fix the multi-currency brokerage ledger\n\nThe working directory contains a small ledger codebase (`solve.py` and the `ledger/` package, about 290 lines) plus sample inputs. Its output does not follow the specification below: **several bugs are planted, and some interact**. Fix the code (you may restructure it freely, Python 3 standard library only) so that `python solve.py input.json answer.json` follows this specification exactly. Hidden checks also run it on freshly generated inputs.\n\n## Inputs\n`input.json`: `base` (base currency), `as_of` (valuation date), file names for `transactions`, `rates`, `prices`. CSV files may start with a UTF-8 BOM, contain `#` comment lines and blank lines (ignored), padded header names (case-insensitive) and quoted fields with commas. Transaction rows are numbered from 0 = first data row after the header, counting only non-comment, non-blank rows (`line`).\n- `rates.csv` `date,currency,rate`: units of base per 1 unit of currency. Not every currency has a rate every day.\n- `prices.csv` `date,symbol,close,currency`.\n- `transactions.csv` `date,type,account,amount,currency,symbol,qty,memo`.\n\n## Rules\n1. All money is exact decimal (no binary floats in calculations). \"Round\" means to 0.01, **half away from zero for .5 cases (ROUND_HALF_UP)**.\n2. FX rate for (currency, date) = the rate with the latest date **on or before** that date (a rate dated exactly that day counts). The base currency's rate is always 1. No such rate means none.\n3. Numbers: surrounding spaces and `_` are ignored; `(x)` means -x. A non-number in amount/qty -> reject `bad_number`. Empty amount/qty = 0. Empty currency = base.\n4. Validation order per row, first failure wins: unknown type (case-insensitive DEPOSIT, WITHDRAW, TRANSFER, BUY, SELL, DIV, FEE) -> `bad_type`; empty account -> `bad_account`; `bad_number`; amount or qty < 0 -> `negative_value`; no FX rate for the row's currency on its date -> `no_rate`. Then the type-specific checks below. A rejected row changes nothing. Rejects are `{\"line\", \"reason\"}` in file order; `applied` counts rows not rejected.\n5. Cash is kept per account **per currency** (never converted).\n6. DEPOSIT adds cash. WITHDRAW: needs cash in that currency >= amount, else `insufficient_cash`.\n7. TRANSFER: memo must be `to:<account>` (prefix case-insensitive, account trimmed, non-empty, different from the source) else `bad_transfer`; needs cash >= amount else `insufficient_cash`; moves the amount **in the same currency** to the destination account (which is created if new).\n8. BUY: symbol (upper-cased) non-empty and qty > 0 else `bad_trade`; needs cash >= amount else `insufficient_cash`; pays `amount` (total cost) in the row currency; adds a lot of qty with cost basis = round(amount * rate on the trade date) in base.\n9. SELL: symbol/qty as BUY (`bad_trade`); held qty in that account must be >= qty else `insufficient_qty`. Lots are relieved **FIFO** (oldest first). A fully used lot relieves its whole remaining cost; a partly used lot relieves round(lot_cost * take / lot_qty) and keeps the rest (so cost always sums exactly). Proceeds in base = round(amount * rate); realized gain += proceeds - relieved cost. Cash += amount in the row currency.\n10. DIV: cash += amount; income += round(amount * rate). FEE: cash -= amount (may go negative); income -= round(amount * rate).\n11. Valuation at `as_of`: each holding (qty > 0) uses the last close on or before `as_of` in its quote currency; value_base = round(qty * close * rate(currency, as_of)), or null if no price. Cash in base = sum over currencies of round(balance * rate(currency, as_of)). total_value_base = round(cash in base + sum of holding values). grand_total_base = sum of account totals.\n\n## answer.json\n`{\"accounts\": {account: {\"cash\": {ccy: balance (non-zero only, sorted)}, \"holdings\": {SYMBOL: {\"qty\", \"cost_base\", \"value_base\"}} (qty > 0 only), \"realized_base\", \"income_base\", \"total_value_base\"}}, \"rejects\": [...], \"applied\": n, \"grand_total_base\"}`. Accounts are every account that ever had cash, lots, gains or income. Money is written as a JSON number with 2 decimals.\n\n## Scoring\nHidden checks (partial credit = fraction passed; all must pass): `rejects_and_applied`, `cash_balances`, `holdings_quantities`, `cost_basis`, `realized_gains`, `income`, `valuation` (account totals and grand total) on the given input; `fresh_run_1`, `fresh_run_2` (the whole answer) on fresh inputs. All values exact. 30-second limit per run.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nfrom pathlib import Path\np=Path('ledger/money.py');s=p.read_text().replace('ROUND_HALF_EVEN','ROUND_HALF_UP').replace('return Decimal(s)','value = Decimal(s)\\\\n        if not value.is_finite():\\\\n            raise ValueError(f\\\"bad number {x\"'!r}\")'\"\\\\n        return value').replace('return float(q2(x))','return q2(x)');p.write_text(s)\np=Path('ledger/io_csv.py');s=p.read_text().replace('row[\\\"_line\\\"] = n','row[\\\"_line\\\"] = len(rows)');p.write_text(s)\np=Path('ledger/rates.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('bisect.bisect_left','bisect.bisect_right');p.write_text(s)\np=Path('ledger/ledger.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('return self.cash.setdefault(acct, {}).get(ccy, D(0))','return self.cash.get(acct, {}).get(ccy, D(0))').replace('self._add_cash(dest, self.base, self._base(row, amt, ccy))','self._add_cash(dest, ccy, amt)');p.write_text(s)\np=Path('ledger/lots.py');s=p.read_text().replace('lot = self.lots[-1]','lot = self.lots[0]').replace('self.lots.pop()','self.lots.pop(0)');p.write_text(s)\np=Path('ledger/report.py');s=p.read_text().replace('\\\"qty\\\": float(lots.qty())','\\\"qty\\\": lots.qty()');p.write_text(s)\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nfrom pathlib import Path\np=Path('ledger/money.py');s=p.read_text().replace('ROUND_HALF_EVEN','ROUND_HALF_UP').replace('return Decimal(s)','value = Decimal(s)\\\\n        if not value.is_finite():\\\\n            raise ValueError(f\\\"bad number {x\"'!r}\")'\"\\\\n        return value').replace('return float(q2(x))','return q2(x)');p.write_text(s)\np=Path('ledger/io_csv.py');s=p.read_text().replace('row[\\\"_line\\\"] = n','row[\\\"_line\\\"] = len(rows)');p.write_text(s)\np=Path('ledger/rates.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('bisect.bisect_left','bisect.bisect_right');p.write_text(s)\np=Path('ledger/ledger.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('return self.cash.setdefault(acct, {}).get(ccy, D(0))','return self.cash.get(acct, {}).get(ccy, D(0))').replace('self._add_cash(dest, self.base, self._base(row, amt, ccy))','self._add_cash(dest, ccy, amt)');p.write_text(s)\np=Path('ledger/lots.py');s=p.read_text().replace('lot = self.lots[-1]','lot = self.lots[0]').replace('self.lots.pop()','self.lots.pop(0)');p.write_text(s)\np=Path('ledger/report.py');s=p.read_text().replace('\\\"qty\\\": float(lots.qty())','\\\"qty\\\": lots.qty()');p.write_text(s)\nPY\"", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"cat > solve.py <<'PY'\n\\\"\\\"\\\"Entry point: python solve.py input.json answer.json.\\\"\\\"\\\"\nimport json\nimport sys\nfrom decimal import Decimal\nfrom pathlib import Path\n\nfrom ledger.io_csv import read_table\nfrom ledger.rates import RateTable\nfrom ledger.prices import PriceTable\nfrom ledger.ledger import Ledger\nfrom ledger.report import build_report\n\n\ndef exact_json(value):\n    \\\"\\\"\\\"Serialize Decimal as JSON numbers without passing through binary floats.\\\"\\\"\\\"\n    if isinstance(value, Decimal):\n        return format(value, \\\"f\\\")\n    if isinstance(value, dict):\n        return \\\"{\\\" + \\\",\\\".join(json.dumps(k) + \\\":\\\" + exact_json(v)\n                              for k, v in value.items()) + \\\"}\\\"\n    if isinstance(value, list):\n        return \\\"[\\\" + \\\",\\\".join(map(exact_json, value)) + \\\"]\\\"\n    return json.dumps(value, allow_nan=False)\n\n\ndef main(inp, out):\n    config_path = Path(inp)\n    with config_path.open(encoding=\\\"utf-8-sig\\\") as fh:\n        cfg = json.load(fh)\n    def table(name):\n        return read_table(config_path.parent / cfg[name])\n    rates = RateTable(cfg[\\\"base\\\"], table(\\\"rates\\\"))\n    prices = PriceTable(table(\\\"prices\\\"))\n    led = Ledger(cfg[\\\"base\\\"], rates)\n    for row in table(\\\"transactions\\\"):\n        led.apply(row)\n    report = build_report(led, prices, rates, cfg[\\\"as_of\\\"])\n    Path(out).write_text(exact_json(report) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\n\n\nif __name__ == \\\"__main__\\\":\n    main(sys.argv[1], sys.argv[2])\nPY\npython solve.py input.json /tmp/ledger-answer.json\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"cat > solve.py <<'PY'\n\\\"\\\"\\\"Entry point: python solve.py input.json answer.json.\\\"\\\"\\\"\nimport json\nimport sys\nfrom decimal import Decimal\nfrom pathlib import Path\n\nfrom ledger.io_csv import read_table\nfrom ledger.rates import RateTable\nfrom ledger.prices import PriceTable\nfrom ledger.ledger import Ledger\nfrom ledger.report import build_report\n\n\ndef exact_json(value):\n    \\\"\\\"\\\"Serialize Decimal as JSON numbers without passing through binary floats.\\\"\\\"\\\"\n    if isinstance(value, Decimal):\n        return format(value, \\\"f\\\")\n    if isinstance(value, dict):\n        return \\\"{\\\" + \\\",\\\".join(json.dumps(k) + \\\":\\\" + exact_json(v)\n                              for k, v in value.items()) + \\\"}\\\"\n    if isinstance(value, list):\n        return \\\"[\\\" + \\\",\\\".join(map(exact_json, value)) + \\\"]\\\"\n    return json.dumps(value, allow_nan=False)\n\n\ndef main(inp, out):\n    config_path = Path(inp)\n    with config_path.open(encoding=\\\"utf-8-sig\\\") as fh:\n        cfg = json.load(fh)\n    def table(name):\n        return read_table(config_path.parent / cfg[name])\n    rates = RateTable(cfg[\\\"base\\\"], table(\\\"rates\\\"))\n    prices = PriceTable(table(\\\"prices\\\"))\n    led = Ledger(cfg[\\\"base\\\"], rates)\n    for row in table(\\\"transactions\\\"):\n        led.apply(row)\n    report = build_report(led, prices, rates, cfg[\\\"as_of\\\"])\n    Path(out).write_text(exact_json(report) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\n\n\nif __name__ == \\\"__main__\\\":\n    main(sys.argv[1], sys.argv[2])\nPY\npython solve.py input.json /tmp/ledger-answer.json\"", "aggregated_output": "/bin/bash: line 45: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nfrom pathlib import Path\np=Path('ledger/money.py');s=p.read_text().replace('ROUND_HALF_EVEN','ROUND_HALF_UP').replace('return Decimal(s)','value = Decimal(s)\\\\n        if not value.is_finite():\\\\n            raise ValueError(f\\\"bad number {x\"'!r}\")'\"\\\\n        return value').replace('return float(q2(x))','return q2(x)');p.write_text(s)\np=Path('ledger/io_csv.py');s=p.read_text().replace('row[\\\"_line\\\"] = n','row[\\\"_line\\\"] = len(rows)');p.write_text(s)\np=Path('ledger/rates.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('bisect.bisect_left','bisect.bisect_right');p.write_text(s)\np=Path('ledger/ledger.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('return self.cash.setdefault(acct, {}).get(ccy, D(0))','return self.cash.get(acct, {}).get(ccy, D(0))').replace('self._add_cash(dest, self.base, self._base(row, amt, ccy))','self._add_cash(dest, ccy, amt)');p.write_text(s)\np=Path('ledger/lots.py');s=p.read_text().replace('lot = self.lots[-1]','lot = self.lots[0]').replace('self.lots.pop()','self.lots.pop(0)');p.write_text(s)\np=Path('ledger/report.py');s=p.read_text().replace('\\\"qty\\\": float(lots.qty())','\\\"qty\\\": lots.qty()');p.write_text(s)\nPY\npython3 solve.py input.json /tmp/ledger-answer.json\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nfrom pathlib import Path\np=Path('ledger/money.py');s=p.read_text().replace('ROUND_HALF_EVEN','ROUND_HALF_UP').replace('return Decimal(s)','value = Decimal(s)\\\\n        if not value.is_finite():\\\\n            raise ValueError(f\\\"bad number {x\"'!r}\")'\"\\\\n        return value').replace('return float(q2(x))','return q2(x)');p.write_text(s)\np=Path('ledger/io_csv.py');s=p.read_text().replace('row[\\\"_line\\\"] = n','row[\\\"_line\\\"] = len(rows)');p.write_text(s)\np=Path('ledger/rates.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('bisect.bisect_left','bisect.bisect_right');p.write_text(s)\np=Path('ledger/ledger.py');s=p.read_text().replace('self.base = base','self.base = base.strip().upper()').replace('return self.cash.setdefault(acct, {}).get(ccy, D(0))','return self.cash.get(acct, {}).get(ccy, D(0))').replace('self._add_cash(dest, self.base, self._base(row, amt, ccy))','self._add_cash(dest, ccy, amt)');p.write_text(s)\np=Path('ledger/lots.py');s=p.read_text().replace('lot = self.lots[-1]','lot = self.lots[0]').replace('self.lots.pop()','self.lots.pop(0)');p.write_text(s)\np=Path('ledger/report.py');s=p.read_text().replace('\\\"qty\\\": float(lots.qty())','\\\"qty\\\": lots.qty()');p.write_text(s)\nPY\npython3 solve.py input.json /tmp/ledger-answer.json\"", "aggregated_output": "", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "agent_message", "text": "I found bugs in same-day FX lookup, FIFO lot relief, transfer currency, rounding, and reject line numbers. Rejected withdrawals and buys could also create empty accounts. Those are fixed, and JSON output now preserves decimals without converting through floats. I\u2019m checking the edge cases next.\n"}}
{"type": "item.started", "item": {"id": "item_8", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p tests\ncat > tests/test_ledger.py <<'PY'\nimport json\nimport tempfile\nimport unittest\nfrom decimal import Decimal\nfrom pathlib import Path\n\nfrom ledger.io_csv import read_table\nfrom ledger.ledger import Ledger\nfrom ledger.lots import Lots\nfrom ledger.money import D, q2\nfrom ledger.prices import PriceTable\nfrom ledger.rates import RateTable\nfrom ledger.report import build_report\nfrom solve import exact_json\n\n\nclass LedgerTests(unittest.TestCase):\n    def test_csv(self):\n        with tempfile.TemporaryDirectory() as tmp:\n            p = Path(tmp) / 'rows.csv'\n            p.write_text('\\\\ufeff# comment\\\\n Date , Memo \\\\n\\\\n2026-01-01,\\\"to:Smith, Jane\\\"\\\\n# skip\\\\n2026-01-02,x\\\\n')\n            rows = read_table(p)\n            self.assertEqual([r['_line'] for r in rows], [0, 1])\n            self.assertEqual(rows[0]['memo'], 'to:Smith, Jane')\n\n    def test_fifo_and_rounding(self):\n        lots = Lots()\n        lots.add(D(3), D('1.00'))\n        lots.add(D(2), D('10.00'))\n        self.assertEqual(lots.relieve(D(1)), D('.33'))\n        self.assertEqual(lots.relieve(D(3)), D('5.67'))\n        self.assertEqual(lots.cost(), D('5.00'))\n        self.assertEqual(q2('1.005'), D('1.01'))\n        self.assertEqual(q2('-1.005'), D('-1.01'))\n        for invalid in ['NaN', 'Infinity', 'junk']:\n            with self.assertRaises(ValueError):\n                D(invalid)\n        self.assertEqual(D(' (1_234.5) '), D('-1234.5'))\n\n    def test_transactions_and_valuation(self):\n        rates = RateTable('USD', [dict(date='2026-01-01', currency='EUR', rate='1.5')])\n        self.assertIsNone(rates.rate('EUR', '2025-12-31'))\n        self.assertEqual(rates.rate('EUR', '2026-01-01'), D('1.5'))\n        led = Ledger('USD', rates)\n        def apply(typ, account='a', amount='0', currency='EUR', symbol='', qty='', memo=''):\n            led.apply(dict(_line=led.applied + len(led.rejects), date='2026-01-01',\n                           type=typ, account=account, amount=amount, currency=currency,\n                           symbol=symbol, qty=qty, memo=memo))\n        apply('BUY', 'rejected', '1', symbol='X', qty='1')\n        apply('DEPOSIT', amount='20')\n        apply('TRANSFER', amount='2', memo='TO: b')\n        apply('BUY', amount='1.67', symbol='x', qty='3')\n        apply('SELL', amount='1', symbol='x', qty='1')\n        apply('FEE', amount='.67')\n        apply('DIV', amount='.67')\n        apply('invalid', account='', amount='bad')\n        apply('BUY', amount='NaN', qty='-1')\n        apply('BUY', amount='-1', currency='ZZZ')\n        apply('BUY', currency='ZZZ')\n        prices = PriceTable([dict(date='2026-01-01', symbol='X', close='2', currency='EUR')])\n        report = build_report(led, prices, rates, '2026-01-01')\n        self.assertNotIn('rejected', report['accounts'])\n        self.assertEqual(report['accounts']['b']['cash'], {'EUR': D('2.00')})\n        a = report['accounts']['a']\n        self.assertEqual(a['holdings']['X'], dict(qty=D(2), cost_base=D('1.67'), value_base=D('6.00')))\n        self.assertEqual(a['realized_base'], D('.66'))\n        self.assertEqual(a['income_base'], D(0))\n        self.assertEqual(a['total_value_base'], D('32.00'))\n        self.assertEqual(report['grand_total_base'], D('35.00'))\n        self.assertEqual([r['reason'] for r in led.rejects],\n                         ['insufficient_cash', 'bad_type', 'bad_number', 'negative_value', 'no_rate'])\n        encoded = exact_json(report)\n        self.assertIn('32.00', encoded)\n        self.assertEqual(json.loads(encoded, parse_float=Decimal)['grand_total_base'], D('35.00'))\n\n\nif __name__ == '__main__':\n    unittest.main()\nPY\npython3 -m unittest discover -s tests -v\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_8", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p tests\ncat > tests/test_ledger.py <<'PY'\nimport json\nimport tempfile\nimport unittest\nfrom decimal import Decimal\nfrom pathlib import Path\n\nfrom ledger.io_csv import read_table\nfrom ledger.ledger import Ledger\nfrom ledger.lots import Lots\nfrom ledger.money import D, q2\nfrom ledger.prices import PriceTable\nfrom ledger.rates import RateTable\nfrom ledger.report import build_report\nfrom solve import exact_json\n\n\nclass LedgerTests(unittest.TestCase):\n    def test_csv(self):\n        with tempfile.TemporaryDirectory() as tmp:\n            p = Path(tmp) / 'rows.csv'\n            p.write_text('\\\\ufeff# comment\\\\n Date , Memo \\\\n\\\\n2026-01-01,\\\"to:Smith, Jane\\\"\\\\n# skip\\\\n2026-01-02,x\\\\n')\n            rows = read_table(p)\n            self.assertEqual([r['_line'] for r in rows], [0, 1])\n            self.assertEqual(rows[0]['memo'], 'to:Smith, Jane')\n\n    def test_fifo_and_rounding(self):\n        lots = Lots()\n        lots.add(D(3), D('1.00'))\n        lots.add(D(2), D('10.00'))\n        self.assertEqual(lots.relieve(D(1)), D('.33'))\n        self.assertEqual(lots.relieve(D(3)), D('5.67'))\n        self.assertEqual(lots.cost(), D('5.00'))\n        self.assertEqual(q2('1.005'), D('1.01'))\n        self.assertEqual(q2('-1.005'), D('-1.01'))\n        for invalid in ['NaN', 'Infinity', 'junk']:\n            with self.assertRaises(ValueError):\n                D(invalid)\n        self.assertEqual(D(' (1_234.5) '), D('-1234.5'))\n\n    def test_transactions_and_valuation(self):\n        rates = RateTable('USD', [dict(date='2026-01-01', currency='EUR', rate='1.5')])\n        self.assertIsNone(rates.rate('EUR', '2025-12-31'))\n        self.assertEqual(rates.rate('EUR', '2026-01-01'), D('1.5'))\n        led = Ledger('USD', rates)\n        def apply(typ, account='a', amount='0', currency='EUR', symbol='', qty='', memo=''):\n            led.apply(dict(_line=led.applied + len(led.rejects), date='2026-01-01',\n                           type=typ, account=account, amount=amount, currency=currency,\n                           symbol=symbol, qty=qty, memo=memo))\n        apply('BUY', 'rejected', '1', symbol='X', qty='1')\n        apply('DEPOSIT', amount='20')\n        apply('TRANSFER', amount='2', memo='TO: b')\n        apply('BUY', amount='1.67', symbol='x', qty='3')\n        apply('SELL', amount='1', symbol='x', qty='1')\n        apply('FEE', amount='.67')\n        apply('DIV', amount='.67')\n        apply('invalid', account='', amount='bad')\n        apply('BUY', amount='NaN', qty='-1')\n        apply('BUY', amount='-1', currency='ZZZ')\n        apply('BUY', currency='ZZZ')\n        prices = PriceTable([dict(date='2026-01-01', symbol='X', close='2', currency='EUR')])\n        report = build_report(led, prices, rates, '2026-01-01')\n        self.assertNotIn('rejected', report['accounts'])\n        self.assertEqual(report['accounts']['b']['cash'], {'EUR': D('2.00')})\n        a = report['accounts']['a']\n        self.assertEqual(a['holdings']['X'], dict(qty=D(2), cost_base=D('1.67'), value_base=D('6.00')))\n        self.assertEqual(a['realized_base'], D('.66'))\n        self.assertEqual(a['income_base'], D(0))\n        self.assertEqual(a['total_value_base'], D('32.00'))\n        self.assertEqual(report['grand_total_base'], D('35.00'))\n        self.assertEqual([r['reason'] for r in led.rejects],\n                         ['insufficient_cash', 'bad_type', 'bad_number', 'negative_value', 'no_rate'])\n        encoded = exact_json(report)\n        self.assertIn('32.00', encoded)\n        self.assertEqual(json.loads(encoded, parse_float=Decimal)['grand_total_base'], D('35.00'))\n\n\nif __name__ == '__main__':\n    unittest.main()\nPY\npython3 -m unittest discover -s tests -v\"", "aggregated_output": "test_csv (test_ledger.LedgerTests.test_csv) ... ok\ntest_fifo_and_rounding (test_ledger.LedgerTests.test_fifo_and_rounding) ... ok\ntest_transactions_and_valuation (test_ledger.LedgerTests.test_transactions_and_valuation) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nOK\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_9", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json /tmp/ledger-answer.json\npython3 - <<'PY'\nimport json\nfrom decimal import Decimal\nwith open('/tmp/ledger-answer.json') as f:\n    r=json.load(f, parse_float=Decimal)\nprint({'applied':r['applied'], 'rejects':len(r['rejects']), 'accounts':len(r['accounts']), 'grand_total_base':str(r['grand_total_base'])})\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_9", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json /tmp/ledger-answer.json\npython3 - <<'PY'\nimport json\nfrom decimal import Decimal\nwith open('/tmp/ledger-answer.json') as f:\n    r=json.load(f, parse_float=Decimal)\nprint({'applied':r['applied'], 'rejects':len(r['rejects']), 'accounts':len(r['accounts']), 'grand_total_base':str(r['grand_total_base'])})\nPY\"", "aggregated_output": "{'applied': 106, 'rejects': 13, 'accounts': 3, 'grand_total_base': '78774.99'}\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_10", "type": "agent_message", "text": "Fixed FX lookup, FIFO cost relief, transfer currency, rounding, validation side effects, row numbering, and exact decimal JSON output.\n\nVerification: all 3 regression tests pass. Sample run: 106 applied, 13 rejected; grand total **78774.99**.\n\nUsed `python3` because this environment has no `python` command."}}
{"type": "turn.completed", "usage": {"input_tokens": 198571, "cached_input_tokens": 169984, "cache_write_input_tokens": 0, "output_tokens": 2945, "reasoning_output_tokens": 114}}