Minified React Error #31

[chipkent]

[ErrorBoundary] Error caught by ErrorBoundary Error: Minified React error #31; visit https://reactjs.org/docs/error-decoder.html?invariant=31&args[]=object%20with%20keys%20%7Bconnection%2C%20ticket_0%2C%20fetched%7D for the full message or use the non-minified dev environment for full errors and additional helpful warnings.
    at Ax (react-dom.production.min.js:140:47)
    at react-dom.production.min.js:150:265
    at Zs (react-dom.production.min.js:176:186)
    at SP (react-dom.production.min.js:187:274)
    at zde (react-dom.production.min.js:186:173)
    at t5e (react-dom.production.min.js:269:427)
    at X2e (react-dom.production.min.js:250:347)
    at YQe (react-dom.production.min.js:250:278)
    at Ey (react-dom.production.min.js:250:138)
    at NP (react-dom.production.min.js:243:163)
    at react-dom.production.min.js:123:115
    at e.unstable_runWithPriority (scheduler.production.min.js:18:343)
    at Rv (react-dom.production.min.js:122:325)
    at D2e (react-dom.production.min.js:123:61)
    at ip (react-dom.production.min.js:122:428)
    at mm (react-dom.production.min.js:237:203)
    at $ue (react-dom.production.min.js:170:408)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11227:11)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7063:24)
    at callMethod (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7167:18)
    at noopMiddleware (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7199:10)
    at JSONRPCServer2.callMethod (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7179:51)
    at JSONRPCServer2.eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7128:31)
    at step (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7006:17)
    at Object.eval [as next] (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6958:14)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6945:67)
    at new Promise (<anonymous>)
    at __awaiter$1 (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6927:10)
    at JSONRPCServer2.receiveSingle (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7119:14)
    at JSONRPCServer2.receive (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7092:21)
    at JSONRPCServerAndClient2.eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7386:38)
    at step (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7314:17)
    at Object.eval [as next] (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7266:14)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7253:67)
    at new Promise (<anonymous>)
    at __awaiter (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7235:10)
    at JSONRPCServerAndClient2.receiveAndSend (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7376:14)
    at receiveData (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11270:32)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11282:11)
    at Object.$lambda$3 (dh-core.js:5399:5)
    at Function.onInvoke_9 (dh-core.js:6066:16)
    at lambda (dh-core.js:174:22)
    at Array.forEach (<anonymous>)
    at Object.$fireEvent_0 (dh-core.js:5375:15)
    at Object.$lambda$6_4 (dh-core.js:25658:11)
    at Function.apply_167 (dh-core.js:25885:10)
    at lambda (dh-core.js:174:22)
    at dh-internal.js:1:792286
    at Array.forEach (<anonymous>)
    at dh-internal.js:1:792265
    at dh-internal.js:1:43529
    at Array.forEach (<anonymous>)
    at e.rawOnMessage (dh-internal.js:1:43491)
    at dh-internal.js:1:41304
    at Array.forEach (<anonymous>)
    at e.onTransportChunk (dh-internal.js:1:41179)
    at Object.$onMessage (dh-core.js:17888:35)
    at MultiplexedWebsocketTransport$3methodref$onMessage$Type.handleEvent_2 [as handleEvent] (dh-core.js:18032:10) Object

[chipkent]

# TODO: pydoc
import logging
from typing import Tuple, Callable, Any
from deephaven import ui, dtypes
from deephaven.table import Table, PartitionedTable
from deephaven.plot.figure import Figure


# This function is to avoid UI bugs in rendering tables with non-primitive columns
# TODO: https://github.com/deephaven/deephaven-plugins/issues/701
# TODO: https://github.com/deephaven/deephaven-core/issues/5708
def _retain_primitive_cols(name: str, table: Table) -> Table:
    """Return a new table with only primitive columns.

    This function is to avoid UI bugs in rendering tables with non-primitive columns.

    Args:
        name (str): The name of the table.
        table (Table): The table to filter.
    """
    def retain_col(col):
        retain = col.data_type.is_primitive or col.data_type in [dtypes.string, dtypes.bool_, dtypes.Instant]

        if not retain:
            logging.warning(f"REMOVING COLUMN FOR VISUALIZATION: table={name} column={col.name} type={col.data_type}.")

        return retain

    return table.view([col.name for col in table.columns if retain_col(col)])


def null_note(t: Table, note: str, func: Callable[[], Any]) -> Any:
    """ Return a note if the table is empty; otherwise, return the element from the function. """
    return func() if t else ui.text(note)


# TODO: this is commented out because it fails if it is not
# @ui.component
def _symbol_picker(table: PartitionedTable, label: str = "Symbol") -> Tuple[ui.Element, str]:
    symbol_table = ui.use_memo(lambda: table.table.view("symbol").select_distinct().sort("symbol"), [])
    symbol, set_symbol = ui.use_state("")

    pick_table = ui.picker(
        symbol_table,
        label=label,
        on_change=set_symbol,
        selected_key=symbol,
    )

    text = ui.text_field(
        value=symbol,
        on_change=set_symbol,
        label=label,
    )

    return ui.flex(pick_table, text), symbol


@ui.component
def _tab_table_view(tables: dict[str, PartitionedTable], symbol: str) -> ui.BaseElement:

    def make_component(table):
        t = table.get_constituent([symbol])
        return null_note(t, f"No data for {symbol}", lambda: t)

    return ui.stack([ui.panel(make_component(table), title=name) for name, table in tables.items()])


@ui.component
def plot_shares(shares: Table) -> Figure:
    p = Figure()

    for col in shares.columns:
        if "shares_" in col.name and "dilution_factor" not in col.name:
            p = p.plot_xy(col.name, shares, x="timestamp", y=col.name)

    return p.show()

@ui.component
def plot_prices(prices: Table) -> Figure:
    return (
        Figure()
        .plot_xy("close_split_div_adj", prices, x="timestamp", y="close_split_div_adj")
        .y_axis(log=True)
        .show()
    )

@ui.component
def plot_fundamentals(fundamentals: Table, series: str):
    return (
        Figure()
        .plot_xy(series, fundamentals, x="timestamp", y=series)
        .show()
    )


@ui.component
def plot_model_preds(model_preds: Table, symbol: str) -> Figure:

    if model_preds.size == 0:
        return ui.text(f"No model predictions for {symbol}")

    model_preds = model_preds.update_view([
                "pred_price_sdp = pred_price + pred_price_stdev_uncorr",  # TODO: which stdev?
                "pred_price_sdm = pred_price - pred_price_stdev_uncorr",  # TODO: which stdev?
            ])

    return (
        Figure()
        .plot_xy("Pred", t=model_preds, x="pred_time", y="pred_price",
                      y_low="pred_price_sdm", y_high="pred_price_sdp", by=["full_name"])
        .y_axis(log=True)
    )


@ui.component
def plot_meta_preds(meta_preds: Table, symbol: str) -> Figure:

    if meta_preds.size == 0:
        return ui.text(f"No meta predictions for {symbol}")

    meta = (
        meta_preds
        .update_view([
            "full_name = stdev_calc + `_` + meta_weights_func",
            "pred_price_sdp = pred_price + pred_price_stdev",
            "pred_price_sdm = pred_price - pred_price_stdev",
        ])
    )

    #TODO: DEBUG
    mx = meta.select_distinct("full_name")
    # print("META FULL NAME", mx)
    for v in mx.iter_tuple("full_name"):
        print("META FULL NAME", v)

    p = Figure()

    p = p.plot_xy("Meta", t=meta, x="pred_time", y="pred_price", y_low="pred_price_sdm", y_high="pred_price_sdp", by=["full_name"])

    p = p.y_axis(log=True)
    return p.show()


@ui.component
def _input_plots(tables: dict[str, PartitionedTable], symbol: str) -> ui.BaseElement:

    # TODO: this doesn't work --> need to have calls to the same number of hooks
    # if not symbol:
    #     return ui.panel(ui.text("Select a symbol"))

    # TODO: filter on date

    shares = tables["shares"].get_constituent([symbol])
    prices = tables["prices"].get_constituent([symbol])
    fundamentals = tables["fundamentals"].get_constituent([symbol])
    model_preds = tables["model_preds"].get_constituent([symbol])
    meta_preds = tables["meta_preds"].get_constituent([symbol])

    error_msg = f"No data for {symbol}"
    outputs = []

    outputs.append(ui.panel(null_note(shares, error_msg, lambda: plot_shares(shares)), title="shares"))
    outputs.append(ui.panel(null_note(prices, error_msg, lambda: plot_prices(prices)), title="prices"))

    for col in tables["fundamentals"].constituent_table_columns:
        if col.name in ["date", "timestamp", "symbol"]:
            continue

        outputs.append(ui.panel(null_note(fundamentals, error_msg, lambda: plot_fundamentals(fundamentals, col.name)), title=col.name))

    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("active"), symbol)), title="model_preds_active"))
    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("!active"), symbol)), title="model_preds_inactive"))
    outputs.append(ui.panel(null_note(meta_preds, error_msg, lambda: plot_meta_preds(meta_preds, symbol)), title="meta_preds"))

    return ui.stack(
        *outputs,
    )


@ui.component
def my_panel(tables: dict[str, PartitionedTable]) -> ui.BaseElement:
    model_preds = tables["model_preds"]
    symbol_picker, symbol = _symbol_picker(model_preds, label="Symbol")

    # TODO: thinks this should be fine --> Doesn't work because new stuff is garbage at the bottom
    # if not symbol:
    #     return ui.column(symbol_picker)

    ttv = _tab_table_view(tables, symbol)
    ip = _input_plots(tables, symbol)

    return ui.column(
        symbol_picker,
        ttv,
        ip,
    )


def my_dashboard(tables: dict[str, Table]) -> ui.DashboardElement:
    part_tables = {name: _retain_primitive_cols(name, table).partition_by("symbol") for name, table in tables.items()}
    return ui.dashboard(my_panel(part_tables)) # TODO: Bad type hint or should fail

if __name__ == "__main__":
    from cecropia.lynchmunger import cli
    globals().update(cli.debug_values)
    dashboard = my_dashboard(cli.debug_values)

[chipkent]

Uncaught (in promise) InvalidStateError: Failed to update a ServiceWorker for scope ('http://localhost:8080/ide/download/') with script ('Unknown'): The object is in an invalid state.

[chipkent]

LogProxy.js:87 [ErrorBoundary] Error caught by ErrorBoundary Error: Minified React error #31; visit https://reactjs.org/docs/error-decoder.html?invariant=31&args[]=object%20with%20keys%20%7Bconnection%2C%20ticket_0%2C%20fetched%7D for the full message or use the non-minified dev environment for full errors and additional helpful warnings.
    at Ax (react-dom.production.min.js:140:47)
    at react-dom.production.min.js:150:265
    at Zs (react-dom.production.min.js:176:186)
    at SP (react-dom.production.min.js:187:274)
    at zde (react-dom.production.min.js:186:173)
    at t5e (react-dom.production.min.js:269:427)
    at X2e (react-dom.production.min.js:250:347)
    at YQe (react-dom.production.min.js:250:278)
    at Ey (react-dom.production.min.js:250:138)
    at NP (react-dom.production.min.js:243:163)
    at react-dom.production.min.js:123:115
    at e.unstable_runWithPriority (scheduler.production.min.js:18:343)
    at Rv (react-dom.production.min.js:122:325)
    at D2e (react-dom.production.min.js:123:61)
    at ip (react-dom.production.min.js:122:428)
    at mm (react-dom.production.min.js:237:203)
    at $ue (react-dom.production.min.js:170:408)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11227:11)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7063:24)
    at callMethod (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7167:18)
    at noopMiddleware (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7199:10)
    at JSONRPCServer2.callMethod (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7179:51)
    at JSONRPCServer2.eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7128:31)
    at step (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7006:17)
    at Object.eval [as next] (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6958:14)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6945:67)
    at new Promise (<anonymous>)
    at __awaiter$1 (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:6927:10)
    at JSONRPCServer2.receiveSingle (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7119:14)
    at JSONRPCServer2.receive (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7092:21)
    at JSONRPCServerAndClient2.eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7386:38)
    at step (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7314:17)
    at Object.eval [as next] (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7266:14)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7253:67)
    at new Promise (<anonymous>)
    at __awaiter (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7235:10)
    at JSONRPCServerAndClient2.receiveAndSend (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:7376:14)
    at receiveData (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11270:32)
    at eval (eval at <anonymous> (loadRemoteModule.js:21:24), <anonymous>:11282:11)
    at Object.$lambda$3 (dh-core.js:5399:5)
    at Function.onInvoke_9 (dh-core.js:6066:16)
    at lambda (dh-core.js:174:22)
    at Array.forEach (<anonymous>)
    at Object.$fireEvent_0 (dh-core.js:5375:15)
    at Object.$lambda$6_4 (dh-core.js:25658:11)
    at Function.apply_167 (dh-core.js:25885:10)
    at lambda (dh-core.js:174:22)
    at dh-internal.js:1:792286
    at Array.forEach (<anonymous>)
    at dh-internal.js:1:792265
    at dh-internal.js:1:43529
    at Array.forEach (<anonymous>)
    at e.rawOnMessage (dh-internal.js:1:43491)
    at dh-internal.js:1:41304
    at Array.forEach (<anonymous>)
    at e.onTransportChunk (dh-internal.js:1:41179)
    at Object.$onMessage (dh-core.js:17888:35)
    at MultiplexedWebsocketTransport$3methodref$onMessage$Type.handleEvent_2 [as handleEvent] (dh-core.js:18032:10) 
{componentStack: '\n    at ReactPanelErrorBoundary (eval at <anonymou…alhost:8080/ide/assets/index-31948f17.js:19:8866)'}
LogProxy.js:73 [DownloadServiceWorkerUtils] Registering service worker on  
URL {origin: 'http://localhost:8080', protocol: 'http:', username: '', password: '', host: 'localhost:8080', …}
 
ServiceWorkerRegistration {installing: ServiceWorker, waiting: null, active: null, navigationPreload: NavigationPreloadManager, scope: 'http://localhost:8080/ide/download/', …}

[chipkent]

The error seems to be related to these lines. If the lines are commented out, it seems to run without errors.

    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("active"), symbol)), title="model_preds_active"))
    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("!active"), symbol)), title="model_preds_inactive"))

in

# TODO: pydoc
import logging
from typing import Tuple, Callable, Any
from deephaven import ui, dtypes
from deephaven.table import Table, PartitionedTable
from deephaven.plot.figure import Figure


# This function is to avoid UI bugs in rendering tables with non-primitive columns
# TODO: https://github.com/deephaven/deephaven-plugins/issues/701
# TODO: https://github.com/deephaven/deephaven-core/issues/5708
def _retain_primitive_cols(name: str, table: Table) -> Table:
    """Return a new table with only primitive columns.

    This function is to avoid UI bugs in rendering tables with non-primitive columns.

    Args:
        name (str): The name of the table.
        table (Table): The table to filter.
    """
    def retain_col(col):
        retain = col.data_type.is_primitive or col.data_type in [dtypes.string, dtypes.bool_, dtypes.Instant]

        if not retain:
            logging.warning(f"REMOVING COLUMN FOR VISUALIZATION: table={name} column={col.name} type={col.data_type}.")

        return retain

    return table.view([col.name for col in table.columns if retain_col(col)])


def null_note(t: Table, note: str, func: Callable[[], Any]) -> Any:
    """ Return a note if the table is empty; otherwise, return the element from the function. """
    return func() if t else ui.text(note)


# TODO: this is commented out because it fails if it is not
# @ui.component
def _symbol_picker(table: PartitionedTable, label: str = "Symbol") -> Tuple[ui.Element, str]:
    symbol_table = ui.use_memo(lambda: table.table.view("symbol").select_distinct().sort("symbol"), [])
    symbol, set_symbol = ui.use_state("")

    pick_table = ui.picker(
        symbol_table,
        label=label,
        on_change=set_symbol,
        selected_key=symbol,
    )

    text = ui.text_field(
        value=symbol,
        on_change=set_symbol,
        label=label,
    )

    return ui.flex(pick_table, text), symbol


@ui.component
def _tab_table_view(tables: dict[str, PartitionedTable], symbol: str) -> ui.BaseElement:

    def make_component(table):
        t = table.get_constituent([symbol])
        return null_note(t, f"No data for {symbol}", lambda: t)

    return ui.stack([ui.panel(make_component(table), title=name) for name, table in tables.items()])


@ui.component
def plot_shares(shares: Table) -> Figure:
    p = Figure()

    for col in shares.columns:
        if "shares_" in col.name and "dilution_factor" not in col.name:
            p = p.plot_xy(col.name, shares, x="timestamp", y=col.name)

    return p.show()

@ui.component
def plot_prices(prices: Table) -> Figure:
    return (
        Figure()
        .plot_xy("close_split_div_adj", prices, x="timestamp", y="close_split_div_adj")
        .y_axis(log=True)
        .show()
    )

@ui.component
def plot_fundamentals(fundamentals: Table, series: str):
    return (
        Figure()
        .plot_xy(series, fundamentals, x="timestamp", y=series)
        .show()
    )


@ui.component
def plot_model_preds(model_preds: Table, symbol: str) -> Figure:

    if model_preds.size == 0:
        return ui.text(f"No model predictions for {symbol}")

    model_preds = model_preds.update_view([
                "pred_price_sdp = pred_price + pred_price_stdev_uncorr",  # TODO: which stdev?
                "pred_price_sdm = pred_price - pred_price_stdev_uncorr",  # TODO: which stdev?
            ])

    return (
        Figure()
        .plot_xy("Pred", t=model_preds, x="pred_time", y="pred_price",
                      y_low="pred_price_sdm", y_high="pred_price_sdp", by=["full_name"])
        .y_axis(log=True)
    )


@ui.component
def plot_meta_preds(meta_preds: Table, symbol: str) -> Figure:

    if meta_preds.size == 0:
        return ui.text(f"No meta predictions for {symbol}")

    meta = (
        meta_preds
        .update_view([
            "full_name = stdev_calc + `_` + meta_weights_func",
            "pred_price_sdp = pred_price + pred_price_stdev",
            "pred_price_sdm = pred_price - pred_price_stdev",
        ])
    )

    meta = meta.where("full_name == `uncorr_equal`").select()

    #TODO: DEBUG
    mx = meta.select_distinct("full_name")
    for v in mx.iter_tuple("full_name"):
        print("META FULL NAME", v)
    for col in meta.columns:
        print("META COL", col)

    p = Figure()

    # p = p.plot_xy("Meta", t=meta, x="pred_time", y="pred_price", y_low="pred_price_sdm", y_high="pred_price_sdp", by=["full_name"])
    p = p.plot_xy("Meta", t=meta, x="pred_time", y="pred_price", y_low="pred_price_sdm", y_high="pred_price_sdp")

    p = p.y_axis(log=True)
    return p.show()


@ui.component
def _input_plots(tables: dict[str, PartitionedTable], symbol: str) -> ui.BaseElement:

    # TODO: this doesn't work --> need to have calls to the same number of hooks
    # if not symbol:
    #     return ui.panel(ui.text("Select a symbol"))

    # TODO: filter on date

    shares = tables["shares"].get_constituent([symbol])
    prices = tables["prices"].get_constituent([symbol])
    fundamentals = tables["fundamentals"].get_constituent([symbol])
    model_preds = tables["model_preds"].get_constituent([symbol])
    meta_preds = tables["meta_preds"].get_constituent([symbol])

    error_msg = f"No data for {symbol}"
    outputs = []

    outputs.append(ui.panel(null_note(shares, error_msg, lambda: plot_shares(shares)), title="shares"))
    outputs.append(ui.panel(null_note(prices, error_msg, lambda: plot_prices(prices)), title="prices"))

    for col in tables["fundamentals"].constituent_table_columns:
        if col.name in ["date", "timestamp", "symbol"]:
            continue

        outputs.append(ui.panel(null_note(fundamentals, error_msg, lambda: plot_fundamentals(fundamentals, col.name)), title=col.name))

    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("active"), symbol)), title="model_preds_active"))
    outputs.append(ui.panel(null_note(model_preds, error_msg, lambda: plot_model_preds(model_preds.where("!active"), symbol)), title="model_preds_inactive"))
    outputs.append(ui.panel(null_note(meta_preds, error_msg, lambda: plot_meta_preds(meta_preds, symbol)), title="meta_preds"))

    return ui.stack(
        *outputs,
    )


@ui.component
def my_panel(tables: dict[str, PartitionedTable]) -> ui.BaseElement:
    model_preds = tables["model_preds"]
    symbol_picker, symbol = _symbol_picker(model_preds, label="Symbol")

    # TODO: thinks this should be fine --> Doesn't work because new stuff is garbage at the bottom
    # if not symbol:
    #     return ui.column(symbol_picker)

    ttv = _tab_table_view(tables, symbol)
    ip = _input_plots(tables, symbol)

    return ui.column(
        symbol_picker,
        ttv,
        ip,
    )


def my_dashboard(tables: dict[str, Table]) -> ui.DashboardElement:
    part_tables = {name: _retain_primitive_cols(name, table).partition_by("symbol") for name, table in tables.items()}
    return ui.dashboard(my_panel(part_tables)) # TODO: Bad type hint or should fail

if __name__ == "__main__":
    from cecropia.lynchmunger import cli
    globals().update(cli.debug_values)
    dashboard = my_dashboard(cli.debug_values)

[chipkent]

If you set model_preds = None just before the two noted lines, it also runs without error.

[chipkent]

I have found the problem. On line 122, the plot generation is missing .show(). That resulted in this totally understandable cryptic error that I have been chasing for 1 hr+.

See #997