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Table / Pagination

Use a paginated table to display large (100k+ rows) tabular data.

import osfrom typing import Dict, Listfrom h2o_wave import main, app, Q, uifrom copy import deepcopyimport csv

# Create a dummy data blueprint.class Issue:    def __init__(self, text: str, status: str):        self.text = text        self.status = status

all_rows = [Issue(text=i + 1, status=('Closed' if i % 2 == 0 else 'Open')) for i in range(100)]rows_per_page = 10total_rows = len(all_rows)

def get_rows(base: List, sort: Dict[str, bool] = None, search: Dict = None, filters: Dict[str, List[str]] = None) -> List:    # Make a deep copy in order to not mutate the original `all_issues` which serves as our baseline.    rows = deepcopy(base)
    # Sort by multiple columns.    if sort:        for col, reverse in sort.items():            rows.sort(key=lambda i: getattr(i, col), reverse=reverse)    # Filter out all rows that do not contain searched string.    if search:        search_val = search['value'].lower()        cols = search['cols']        rows = [row for row in rows if any(search_val in str(getattr(row, col)).lower() for col in cols)]    # Filter out rows that do not contain filtered column value.    if filters:        for col, filters in filters.items():            rows = [row for row in rows if not filters or any(f in getattr(row, col) for f in filters)]
    return rows

@app('/demo')async def serve(q: Q):    if not q.client.initialized:['meta'] = ui.meta_card(box='')['form'] = ui.form_card(box='1 1 -1 -1', items=[            ui.table(                name='table',                columns=[                    ui.table_column(name='text', label='Text', sortable=True, searchable=True, link=False),                    ui.table_column(name='status', label='Status', filterable=True, filters=['Open', 'Closed']),                ],                rows=[ui.table_row(str(r.text), [str(r.text), r.status]) for r in get_rows(all_rows)[0:rows_per_page]],                resettable=True,                downloadable=True,                pagination=ui.table_pagination(total_rows=len(all_rows), rows_per_page=rows_per_page),                # Make sure to register the necessary events for the feature you want to support, e.g. sorting.                # All the registered events have to be handled by the developer.                # `page_change` event is required to be handled for pagination to work.                events=['sort', 'filter', 'search', 'page_change', 'download', 'reset']            )        ])        q.client.initialized = True
    # Check if user triggered any table action and save it to local state for allowing multiple    # actions to be performed on the data at the same time, e.g. sort the filtered data etc.    if        table =['form'].items[0].table        if            q.client.sort =            q.client.page_offset = 0        if            q.client.filters =            q.client.page_offset = 0        if is not None:   =            q.client.page_offset = 0        if            q.client.page_offset ='offset', 0)        if   = None            q.client.sort = None            q.client.filters = None            q.client.page_offset = 0            table.pagination = ui.table_pagination(total_rows, rows_per_page)
        rows = get_rows(all_rows, q.client.sort,, q.client.filters)        offset = q.client.page_offset or 0        table.rows = [ui.table_row(str(r.text), [str(r.text), r.status]) for r in rows[offset: offset + rows_per_page]]
        # Update table pagination according to the new row count.        if is not None or q.client.filters:            table.pagination = ui.table_pagination(len(rows), rows_per_page)
        if            # For multi-user apps, the tmp file name should be unique for each user, not hardcoded.            with open('data_download.csv', 'w') as csvfile:                csv_writer = csv.writer(csvfile, delimiter=',')                for r in rows:                    csv_writer.writerow([r.text, r.status])            download_url, = await['data_download.csv'])            # Clean up the file after upload.            os.remove('data_download.csv')  ['meta'].script = ui.inline_script(f'"{download_url}")')

Tags: โ€‚form โ€‚pagination โ€‚table