Fix build: Bundle schwab_scraper source and use local dependencies
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432
schwab_scraper/features/accounts_positions/positions_scraper.py
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432
schwab_scraper/features/accounts_positions/positions_scraper.py
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@@ -0,0 +1,432 @@
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from __future__ import annotations
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import re
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from decimal import Decimal, InvalidOperation
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from typing import Any, Optional, Sequence
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from ...browser.auth import ensure_cookies
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from ...browser.client import connect, new_context, new_page
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from ...browser.navigation import goto_with_auth_check
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from ...core import AccountSummary, Envelope, ErrorType, Lot, Position, fail, ok
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from ...core.config import get_playwright_url, load_config
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POSITIONS_URL = "https://client.schwab.com/app/accounts/positions/#/"
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def _parse_decimal(value: str | None) -> Optional[Decimal]:
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if not value:
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return None
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cleaned = value.strip()
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if not cleaned or cleaned in {"-", "--"}:
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return None
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negative = False
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if cleaned.startswith("(") and cleaned.endswith(")"):
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negative = True
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cleaned = (
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cleaned.replace("$", "")
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.replace(",", "")
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.replace("(", "")
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.replace(")", "")
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.replace("−", "-")
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.replace("%", "")
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.strip()
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)
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if not cleaned:
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return None
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try:
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parsed = Decimal(cleaned)
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if negative or parsed < 0:
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parsed = -abs(parsed)
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return parsed
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except InvalidOperation:
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return None
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def _parse_float(value: str | None) -> Optional[float]:
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decimal_value = _parse_decimal(value)
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if decimal_value is None:
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return None
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try:
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return float(decimal_value)
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except (ValueError, InvalidOperation):
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return None
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def _normalize_account_label(label: str) -> AccountSummary:
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normalized = re.sub(r"\s+", " ", label).strip()
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last4_match = re.search(r"(\d{3,4})\b", normalized.replace(" ", ""))
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last4 = last4_match.group(1)[-4:] if last4_match else None
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type_match = re.search(r"^[A-Za-z&'\- ]+", normalized)
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account_type = re.sub(r"\s+", "_", type_match.group(0).strip()) if type_match else "Account"
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account_id = f"{account_type}-{last4}" if last4 else account_type
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return AccountSummary(
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id=account_id,
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label=normalized,
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type=account_type,
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last4=last4,
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is_margin="margin" in normalized.lower(),
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)
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def _match_account(candidate: AccountSummary, requested: AccountSummary | str | None) -> bool:
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if requested is None:
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return True
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if isinstance(requested, AccountSummary):
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requested_values = {
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requested.id.lower(),
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requested.label.lower(),
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}
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if requested.last4:
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requested_values.add(requested.last4.lower())
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else:
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lookup = requested.strip().lower()
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requested_values = {lookup}
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candidate_values = {candidate.id.lower(), candidate.label.lower()}
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if candidate.last4:
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candidate_values.add(candidate.last4.lower())
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return bool(candidate_values & requested_values)
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def classify_asset(symbol: str | None, description: str | None) -> str:
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if symbol:
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sym = symbol.strip().upper()
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else:
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sym = ""
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desc = (description or "").strip().upper()
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if sym and re.fullmatch(r"[A-Z]{1,5}", sym):
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if "ETF" in desc:
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return "ETF"
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if any(kw in desc for kw in ["FUND", "MUTUAL"]):
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return "MUTUAL_FUND"
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return "EQUITY"
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if sym and re.search(r"\d", sym) and len(sym) > 5:
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return "OPTION"
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if any(kw in desc for kw in ["BOND", "CD", "TREASURY"]):
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return "BOND"
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if sym in {"CASH", "MMDA", "SWEEP"} or "CASH" in desc:
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return "CASH"
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if "ETF" in desc:
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return "ETF"
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if "FUND" in desc:
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return "MUTUAL_FUND"
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return "OTHER"
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async def _evaluate_table(page) -> dict[str, Any] | None:
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return await page.evaluate(
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"""
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() => {
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const table = document.querySelector('#positionsDetails');
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if (!table) {
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return null;
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}
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const headers = Array.from(table.querySelectorAll('thead tr th')).map((th) =>
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(th.innerText || th.textContent || '').trim()
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);
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const rowElements = Array.from(table.querySelectorAll('tbody tr'));
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const rows = [];
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let current = null;
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let currentAccount = null;
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const isLotRow = (row) => {
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const klass = (row.className || '').toLowerCase();
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if (klass.includes('lot') || klass.includes('sub') || klass.includes('child')) {
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return true;
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}
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const dataRole = (row.getAttribute('data-row-type') || '').toLowerCase();
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return dataRole.includes('lot');
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};
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const isPositionRow = (row) => {
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const klass = (row.className || '').toLowerCase();
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return klass.includes('position-row');
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};
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const isAccountHeader = (row) => {
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const klass = (row.className || '').toLowerCase();
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const text = (row.textContent || '').trim();
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return !klass.includes('position-row') &&
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(klass.includes('highlight-row') || klass.includes('border-top-dark')) &&
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text.includes('account panel');
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};
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for (const row of rowElements) {
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// Check if this is an account header row
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if (isAccountHeader(row)) {
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const text = row.textContent.trim();
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// Extract account name from account panel text
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const match = text.match(/account panel[\\s\\n]+([^\\n]+)/);
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if (match) {
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currentAccount = match[1].trim();
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}
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continue;
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}
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const cells = Array.from(row.querySelectorAll('td')).map((cell) =>
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(cell.innerText || cell.textContent || '').trim()
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);
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if (!cells.length) {
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continue;
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}
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if (isLotRow(row)) {
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if (current) {
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current.lots.push(cells);
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}
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} else if (isPositionRow(row)) {
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// Extract symbol from data-symbol attribute
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const symbol = row.getAttribute('data-symbol') || '';
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current = {
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type: 'position',
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cells: cells,
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lots: [],
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symbol: symbol,
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account: currentAccount
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};
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rows.push(current);
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}
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}
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return { headers, rows };
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}
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"""
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)
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def _map_row(headers: Sequence[str], cells: Sequence[str]) -> dict[str, str]:
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result: dict[str, str] = {}
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# Special handling: The table has columns in headers that don't correspond to cells
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# Headers: ['', 'Symbol', 'Description', 'Qty', 'Price', ...]
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# Cells: ['VANGUARD...', '192.5', '$328.17', ...]
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# The first two headers (empty checkbox and Symbol) have no corresponding cells
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# So: Cell 0 → 'Description', Cell 1 → 'Qty', Cell 2 → 'Price', etc.
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# Find the symbol header index to know where the offset starts
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symbol_header_idx = None
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for idx, header in enumerate(headers):
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key = header.strip().lower()
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if 'symbol' in key and 'description' not in key:
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symbol_header_idx = idx
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break
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# Calculate offset - typically 2 (empty column + symbol column)
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offset = symbol_header_idx + 1 if symbol_header_idx is not None else 0
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for idx, header in enumerate(headers):
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# Normalize header: take first line, strip, lowercase
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# Headers often have format "Label\nsort\nfieldname"
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header_parts = header.strip().split('\n')
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key = header_parts[0].strip().lower() if header_parts else ""
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if not key:
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key = f"column_{idx}"
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# Map header to cell with offset
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if idx < offset:
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# These headers (empty, symbol) have no corresponding cells
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value = ""
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else:
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cell_idx = idx - offset
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value = cells[cell_idx].strip() if cell_idx < len(cells) else ""
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result[key] = value
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return result
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def _parse_lots(lot_rows: Sequence[Sequence[str]]) -> list[Lot]:
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lots: list[Lot] = []
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for cells in lot_rows:
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if not cells:
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continue
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acquired_date = cells[0].strip() if len(cells) > 0 else None
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quantity = _parse_float(cells[1] if len(cells) > 1 else None)
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cost_basis = _parse_decimal(cells[2] if len(cells) > 2 else None)
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lot_id = cells[3].strip() if len(cells) > 3 else None
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lots.append(
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Lot(
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acquired_date=acquired_date or None,
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quantity=quantity,
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cost_basis=cost_basis,
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lot_id=lot_id or None,
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)
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)
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return lots
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def _row_to_position(row_map: dict[str, str], lots_rows: Sequence[Sequence[str]], symbol: str = "") -> Position:
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# Symbol is now passed from data-symbol attribute on row
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# Description is in the first visible cell
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description = row_map.get('description') or row_map.get('name') or row_map.get('column_1') or ""
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# Price is typically in column labeled 'price' or similar
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market_price = _parse_decimal(
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row_map.get('price')
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or row_map.get('market price')
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or row_map.get('last price')
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)
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# Quantity - now in different column due to layout change
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quantity = _parse_float(row_map.get('quantity') or row_map.get('qty'))
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market_value = _parse_decimal(row_map.get('market value') or row_map.get('mkt val'))
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cost_basis_total = _parse_decimal(row_map.get('cost basis') or row_map.get('total cost'))
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unrealized_gain = _parse_decimal(
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row_map.get('gain/loss $')
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or row_map.get('unrealized gain')
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or row_map.get('gain/loss')
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)
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unrealized_gain_pct = _parse_float(
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row_map.get('gain/loss %')
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or row_map.get('unrealized gain %')
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)
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asset_type = classify_asset(symbol, description)
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lots = _parse_lots(lots_rows)
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return Position(
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symbol=symbol or "",
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description=description or None,
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asset_type=asset_type,
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quantity=quantity,
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market_price=market_price,
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market_value=market_value,
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cost_basis_total=cost_basis_total,
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unrealized_gain=unrealized_gain,
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unrealized_gain_pct=unrealized_gain_pct,
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lots=lots,
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)
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async def get_positions(
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account: AccountSummary | str | None = None,
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*,
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include_non_equity: bool = False,
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debug: bool = False,
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) -> Envelope[list[Position]]:
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cookies = await ensure_cookies()
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if not cookies:
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return fail("Unable to establish Schwab session.", ErrorType.AUTHENTICATION, retryable=False)
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config = load_config()
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playwright_url = get_playwright_url(config)
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playwright = browser = context = page = None
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try:
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playwright, browser = await connect(playwright_url)
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context = await new_context(browser, cookies=cookies)
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page = await new_page(context)
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if not await goto_with_auth_check(page, context, POSITIONS_URL, debug=debug):
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return fail("Failed to load Schwab positions page.", ErrorType.AUTHENTICATION, retryable=True)
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await page.wait_for_selector('#positionsDetails', timeout=45000)
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await page.wait_for_timeout(1000)
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await page.evaluate('window.scrollTo(0, document.body.scrollHeight)')
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await page.wait_for_timeout(1500)
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table_data = await _evaluate_table(page)
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if not table_data:
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return fail("Unable to locate positions table.", ErrorType.PARSING, retryable=True)
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headers = [header.strip().lower() for header in table_data.get('headers') or []]
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if not headers:
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return fail("Positions table headers not found.", ErrorType.PARSING, retryable=True)
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positions: list[Position] = []
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for row in table_data.get('rows', []):
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if row.get('type') != 'position':
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continue
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cells = row.get('cells') or []
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symbol = row.get('symbol') or ""
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account_label = row.get('account') or ""
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row_map = _map_row(headers, cells)
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position = _row_to_position(row_map, row.get('lots') or [], symbol=symbol)
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# Filter by account if requested
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if account is not None and account_label:
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# Normalize the account label from the row
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account_summary = _normalize_account_label(account_label)
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if not _match_account(account_summary, account):
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continue
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elif account is not None and not account_label:
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# If filtering by account but row has no account, skip it
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continue
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if not include_non_equity and position.asset_type not in {"EQUITY", "ETF"}:
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continue
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positions.append(position)
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if not positions:
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return fail("No positions matched the requested criteria.", ErrorType.VALIDATION, retryable=False)
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return ok(positions)
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except Exception as exc:
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return fail(str(exc), ErrorType.UNKNOWN, retryable=True)
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finally:
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await _safe_close_page(page)
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await _safe_close_context(context)
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await _safe_close_browser(browser)
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await _safe_stop_playwright(playwright)
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async def _safe_close_page(page) -> None:
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if page is None:
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return
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try:
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await page.close()
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except Exception:
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pass
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async def _safe_close_context(context) -> None:
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if context is None:
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return
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try:
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await context.close()
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except Exception:
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pass
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async def _safe_close_browser(browser) -> None:
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if browser is None:
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return
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try:
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await browser.close()
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except Exception:
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pass
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async def _safe_stop_playwright(playwright) -> None:
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if playwright is None:
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return
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try:
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await playwright.stop()
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except Exception:
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pass
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