kopia lustrzana https://github.com/simonw/datasette
1745 wiersze
59 KiB
Python
1745 wiersze
59 KiB
Python
import asyncio
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import itertools
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import json
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import urllib
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from asyncinject import Registry
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import markupsafe
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from datasette.plugins import pm
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from datasette.database import QueryInterrupted
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from datasette.events import DropTableEvent, InsertRowsEvent, UpsertRowsEvent
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from datasette import tracer
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from datasette.utils import (
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add_cors_headers,
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await_me_maybe,
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call_with_supported_arguments,
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CustomRow,
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append_querystring,
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compound_keys_after_sql,
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format_bytes,
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make_slot_function,
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tilde_encode,
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escape_sqlite,
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filters_should_redirect,
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is_url,
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path_from_row_pks,
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path_with_added_args,
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path_with_format,
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path_with_removed_args,
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path_with_replaced_args,
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to_css_class,
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truncate_url,
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urlsafe_components,
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value_as_boolean,
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InvalidSql,
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sqlite3,
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)
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from datasette.utils.asgi import BadRequest, Forbidden, NotFound, Response
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from datasette.filters import Filters
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import sqlite_utils
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from .base import BaseView, DatasetteError, ureg, _error, stream_csv
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from .database import QueryView
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LINK_WITH_LABEL = (
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'<a href="{base_url}{database}/{table}/{link_id}">{label}</a> <em>{id}</em>'
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)
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LINK_WITH_VALUE = '<a href="{base_url}{database}/{table}/{link_id}">{id}</a>'
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class Row:
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def __init__(self, cells):
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self.cells = cells
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def __iter__(self):
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return iter(self.cells)
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def __getitem__(self, key):
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for cell in self.cells:
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if cell["column"] == key:
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return cell["raw"]
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raise KeyError
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def display(self, key):
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for cell in self.cells:
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if cell["column"] == key:
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return cell["value"]
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return None
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def __str__(self):
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d = {
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key: self[key]
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for key in [
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c["column"] for c in self.cells if not c.get("is_special_link_column")
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]
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}
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return json.dumps(d, default=repr, indent=2)
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async def run_sequential(*args):
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# This used to be swappable for asyncio.gather() to run things in
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# parallel, but this lead to hard-to-debug locking issues with
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# in-memory databases: https://github.com/simonw/datasette/issues/2189
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results = []
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for fn in args:
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results.append(await fn)
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return results
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def _redirect(datasette, request, path, forward_querystring=True, remove_args=None):
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if request.query_string and "?" not in path and forward_querystring:
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path = f"{path}?{request.query_string}"
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if remove_args:
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path = path_with_removed_args(request, remove_args, path=path)
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r = Response.redirect(path)
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r.headers["Link"] = f"<{path}>; rel=preload"
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if datasette.cors:
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add_cors_headers(r.headers)
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return r
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async def _redirect_if_needed(datasette, request, resolved):
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# Handle ?_filter_column
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redirect_params = filters_should_redirect(request.args)
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if redirect_params:
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return _redirect(
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datasette,
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request,
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datasette.urls.path(path_with_added_args(request, redirect_params)),
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forward_querystring=False,
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)
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# If ?_sort_by_desc=on (from checkbox) redirect to _sort_desc=(_sort)
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if "_sort_by_desc" in request.args:
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return _redirect(
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datasette,
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request,
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datasette.urls.path(
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path_with_added_args(
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request,
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{
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"_sort_desc": request.args.get("_sort"),
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"_sort_by_desc": None,
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"_sort": None,
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},
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)
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),
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forward_querystring=False,
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)
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async def display_columns_and_rows(
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datasette,
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database_name,
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table_name,
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description,
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rows,
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link_column=False,
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truncate_cells=0,
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sortable_columns=None,
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request=None,
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):
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"""Returns columns, rows for specified table - including fancy foreign key treatment"""
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sortable_columns = sortable_columns or set()
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db = datasette.databases[database_name]
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table_metadata = datasette.table_metadata(database_name, table_name)
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column_descriptions = table_metadata.get("columns") or {}
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column_details = {
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col.name: col for col in await db.table_column_details(table_name)
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}
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pks = await db.primary_keys(table_name)
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pks_for_display = pks
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if not pks_for_display:
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pks_for_display = ["rowid"]
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columns = []
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for r in description:
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if r[0] == "rowid" and "rowid" not in column_details:
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type_ = "integer"
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notnull = 0
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else:
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type_ = column_details[r[0]].type
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notnull = column_details[r[0]].notnull
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columns.append(
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{
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"name": r[0],
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"sortable": r[0] in sortable_columns,
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"is_pk": r[0] in pks_for_display,
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"type": type_,
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"notnull": notnull,
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"description": column_descriptions.get(r[0]),
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}
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)
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column_to_foreign_key_table = {
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fk["column"]: fk["other_table"]
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for fk in await db.foreign_keys_for_table(table_name)
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}
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cell_rows = []
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base_url = datasette.setting("base_url")
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for row in rows:
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cells = []
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# Unless we are a view, the first column is a link - either to the rowid
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# or to the simple or compound primary key
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if link_column:
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is_special_link_column = len(pks) != 1
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pk_path = path_from_row_pks(row, pks, not pks, False)
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cells.append(
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{
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"column": pks[0] if len(pks) == 1 else "Link",
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"value_type": "pk",
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"is_special_link_column": is_special_link_column,
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"raw": pk_path,
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"value": markupsafe.Markup(
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'<a href="{table_path}/{flat_pks_quoted}">{flat_pks}</a>'.format(
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base_url=base_url,
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table_path=datasette.urls.table(database_name, table_name),
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flat_pks=str(markupsafe.escape(pk_path)),
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flat_pks_quoted=path_from_row_pks(row, pks, not pks),
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)
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),
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}
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)
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for value, column_dict in zip(row, columns):
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column = column_dict["name"]
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if link_column and len(pks) == 1 and column == pks[0]:
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# If there's a simple primary key, don't repeat the value as it's
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# already shown in the link column.
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continue
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# First let the plugins have a go
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# pylint: disable=no-member
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plugin_display_value = None
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for candidate in pm.hook.render_cell(
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row=row,
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value=value,
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column=column,
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table=table_name,
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database=database_name,
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datasette=datasette,
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request=request,
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):
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candidate = await await_me_maybe(candidate)
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if candidate is not None:
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plugin_display_value = candidate
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break
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if plugin_display_value:
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display_value = plugin_display_value
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elif isinstance(value, bytes):
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formatted = format_bytes(len(value))
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display_value = markupsafe.Markup(
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'<a class="blob-download" href="{}"{}><Binary: {:,} byte{}></a>'.format(
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datasette.urls.row_blob(
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database_name,
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table_name,
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path_from_row_pks(row, pks, not pks),
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column,
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),
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(
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' title="{}"'.format(formatted)
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if "bytes" not in formatted
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else ""
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),
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len(value),
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"" if len(value) == 1 else "s",
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)
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)
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elif isinstance(value, dict):
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# It's an expanded foreign key - display link to other row
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label = value["label"]
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value = value["value"]
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# The table we link to depends on the column
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other_table = column_to_foreign_key_table[column]
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link_template = LINK_WITH_LABEL if (label != value) else LINK_WITH_VALUE
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display_value = markupsafe.Markup(
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link_template.format(
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database=database_name,
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base_url=base_url,
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table=tilde_encode(other_table),
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link_id=tilde_encode(str(value)),
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id=str(markupsafe.escape(value)),
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label=str(markupsafe.escape(label)) or "-",
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)
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)
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elif value in ("", None):
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display_value = markupsafe.Markup(" ")
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elif is_url(str(value).strip()):
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display_value = markupsafe.Markup(
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'<a href="{url}">{truncated_url}</a>'.format(
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url=markupsafe.escape(value.strip()),
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truncated_url=markupsafe.escape(
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truncate_url(value.strip(), truncate_cells)
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),
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)
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)
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elif column in table_metadata.get("units", {}) and value != "":
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# Interpret units using pint
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value = value * ureg(table_metadata["units"][column])
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# Pint uses floating point which sometimes introduces errors in the compact
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# representation, which we have to round off to avoid ugliness. In the vast
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# majority of cases this rounding will be inconsequential. I hope.
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value = round(value.to_compact(), 6)
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display_value = markupsafe.Markup(f"{value:~P}".replace(" ", " "))
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else:
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display_value = str(value)
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if truncate_cells and len(display_value) > truncate_cells:
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display_value = display_value[:truncate_cells] + "\u2026"
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cells.append(
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{
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"column": column,
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"value": display_value,
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"raw": value,
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"value_type": (
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"none" if value is None else str(type(value).__name__)
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),
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}
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)
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cell_rows.append(Row(cells))
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if link_column:
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# Add the link column header.
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# If it's a simple primary key, we have to remove and re-add that column name at
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# the beginning of the header row.
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first_column = None
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if len(pks) == 1:
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columns = [col for col in columns if col["name"] != pks[0]]
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first_column = {
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"name": pks[0],
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"sortable": len(pks) == 1,
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"is_pk": True,
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"type": column_details[pks[0]].type,
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"notnull": column_details[pks[0]].notnull,
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}
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else:
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first_column = {
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"name": "Link",
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"sortable": False,
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"is_pk": False,
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"type": "",
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"notnull": 0,
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}
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columns = [first_column] + columns
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return columns, cell_rows
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class TableInsertView(BaseView):
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name = "table-insert"
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def __init__(self, datasette):
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self.ds = datasette
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async def _validate_data(self, request, db, table_name, pks, upsert):
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errors = []
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pks_list = []
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if isinstance(pks, str):
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pks_list = [pks]
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else:
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pks_list = list(pks)
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if not pks_list:
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pks_list = ["rowid"]
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def _errors(errors):
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return None, errors, {}
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if request.headers.get("content-type") != "application/json":
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# TODO: handle form-encoded data
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return _errors(["Invalid content-type, must be application/json"])
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body = await request.post_body()
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try:
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data = json.loads(body)
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except json.JSONDecodeError as e:
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return _errors(["Invalid JSON: {}".format(e)])
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if not isinstance(data, dict):
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return _errors(["JSON must be a dictionary"])
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keys = data.keys()
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# keys must contain "row" or "rows"
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if "row" not in keys and "rows" not in keys:
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return _errors(['JSON must have one or other of "row" or "rows"'])
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rows = []
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if "row" in keys:
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if "rows" in keys:
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return _errors(['Cannot use "row" and "rows" at the same time'])
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row = data["row"]
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if not isinstance(row, dict):
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return _errors(['"row" must be a dictionary'])
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rows = [row]
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data["return"] = True
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else:
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rows = data["rows"]
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if not isinstance(rows, list):
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return _errors(['"rows" must be a list'])
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for row in rows:
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if not isinstance(row, dict):
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return _errors(['"rows" must be a list of dictionaries'])
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# Does this exceed max_insert_rows?
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max_insert_rows = self.ds.setting("max_insert_rows")
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if len(rows) > max_insert_rows:
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return _errors(
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["Too many rows, maximum allowed is {}".format(max_insert_rows)]
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)
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# Validate other parameters
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extras = {
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key: value for key, value in data.items() if key not in ("row", "rows")
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}
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valid_extras = {"return", "ignore", "replace"}
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invalid_extras = extras.keys() - valid_extras
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if invalid_extras:
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return _errors(
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['Invalid parameter: "{}"'.format('", "'.join(sorted(invalid_extras)))]
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)
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if extras.get("ignore") and extras.get("replace"):
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return _errors(['Cannot use "ignore" and "replace" at the same time'])
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# Validate columns of each row
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columns = set(await db.table_columns(table_name))
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columns.update(pks_list)
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for i, row in enumerate(rows):
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if upsert:
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# It MUST have the primary key
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missing_pks = [pk for pk in pks_list if pk not in row]
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if missing_pks:
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errors.append(
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'Row {} is missing primary key column(s): "{}"'.format(
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i, '", "'.join(missing_pks)
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)
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)
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invalid_columns = set(row.keys()) - columns
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if invalid_columns:
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errors.append(
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"Row {} has invalid columns: {}".format(
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i, ", ".join(sorted(invalid_columns))
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)
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)
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if errors:
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return _errors(errors)
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return rows, errors, extras
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async def post(self, request, upsert=False):
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try:
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resolved = await self.ds.resolve_table(request)
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except NotFound as e:
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return _error([e.args[0]], 404)
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db = resolved.db
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database_name = db.name
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table_name = resolved.table
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# Table must exist (may handle table creation in the future)
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db = self.ds.get_database(database_name)
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if not await db.table_exists(table_name):
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return _error(["Table not found: {}".format(table_name)], 404)
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|
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if upsert:
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# Must have insert-row AND upsert-row permissions
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if not (
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await self.ds.permission_allowed(
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request.actor, "insert-row", database_name, table_name
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)
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and await self.ds.permission_allowed(
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request.actor, "update-row", database_name, table_name
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)
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):
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return _error(
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["Permission denied: need both insert-row and update-row"], 403
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)
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else:
|
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# Must have insert-row permission
|
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if not await self.ds.permission_allowed(
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request.actor, "insert-row", resource=(database_name, table_name)
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):
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return _error(["Permission denied"], 403)
|
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|
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if not db.is_mutable:
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return _error(["Database is immutable"], 403)
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|
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pks = await db.primary_keys(table_name)
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|
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rows, errors, extras = await self._validate_data(
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request, db, table_name, pks, upsert
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)
|
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if errors:
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return _error(errors, 400)
|
|
|
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num_rows = len(rows)
|
|
|
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# No that we've passed pks to _validate_data it's safe to
|
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# fix the rowids case:
|
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if not pks:
|
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pks = ["rowid"]
|
|
|
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ignore = extras.get("ignore")
|
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replace = extras.get("replace")
|
|
|
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if upsert and (ignore or replace):
|
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return _error(["Upsert does not support ignore or replace"], 400)
|
|
|
|
should_return = bool(extras.get("return", False))
|
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row_pk_values_for_later = []
|
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if should_return and upsert:
|
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row_pk_values_for_later = [tuple(row[pk] for pk in pks) for row in rows]
|
|
|
|
def insert_or_upsert_rows(conn):
|
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table = sqlite_utils.Database(conn)[table_name]
|
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kwargs = {}
|
|
if upsert:
|
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kwargs["pk"] = pks[0] if len(pks) == 1 else pks
|
|
else:
|
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kwargs = {"ignore": ignore, "replace": replace}
|
|
if should_return and not upsert:
|
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rowids = []
|
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method = table.upsert if upsert else table.insert
|
|
for row in rows:
|
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rowids.append(method(row, **kwargs).last_rowid)
|
|
return list(
|
|
table.rows_where(
|
|
"rowid in ({})".format(",".join("?" for _ in rowids)),
|
|
rowids,
|
|
)
|
|
)
|
|
else:
|
|
method_all = table.upsert_all if upsert else table.insert_all
|
|
method_all(rows, **kwargs)
|
|
|
|
try:
|
|
rows = await db.execute_write_fn(insert_or_upsert_rows)
|
|
except Exception as e:
|
|
return _error([str(e)])
|
|
result = {"ok": True}
|
|
if should_return:
|
|
if upsert:
|
|
# Fetch based on initial input IDs
|
|
where_clause = " OR ".join(
|
|
["({})".format(" AND ".join("{} = ?".format(pk) for pk in pks))]
|
|
* len(row_pk_values_for_later)
|
|
)
|
|
args = list(itertools.chain.from_iterable(row_pk_values_for_later))
|
|
fetched_rows = await db.execute(
|
|
"select {}* from [{}] where {}".format(
|
|
"rowid, " if pks == ["rowid"] else "", table_name, where_clause
|
|
),
|
|
args,
|
|
)
|
|
result["rows"] = [dict(r) for r in fetched_rows.rows]
|
|
else:
|
|
result["rows"] = rows
|
|
# We track the number of rows requested, but do not attempt to show which were actually
|
|
# inserted or upserted v.s. ignored
|
|
if upsert:
|
|
await self.ds.track_event(
|
|
UpsertRowsEvent(
|
|
actor=request.actor,
|
|
database=database_name,
|
|
table=table_name,
|
|
num_rows=num_rows,
|
|
)
|
|
)
|
|
else:
|
|
await self.ds.track_event(
|
|
InsertRowsEvent(
|
|
actor=request.actor,
|
|
database=database_name,
|
|
table=table_name,
|
|
num_rows=num_rows,
|
|
ignore=bool(ignore),
|
|
replace=bool(replace),
|
|
)
|
|
)
|
|
|
|
return Response.json(result, status=200 if upsert else 201)
|
|
|
|
|
|
class TableUpsertView(TableInsertView):
|
|
name = "table-upsert"
|
|
|
|
async def post(self, request):
|
|
return await super().post(request, upsert=True)
|
|
|
|
|
|
class TableDropView(BaseView):
|
|
name = "table-drop"
|
|
|
|
def __init__(self, datasette):
|
|
self.ds = datasette
|
|
|
|
async def post(self, request):
|
|
try:
|
|
resolved = await self.ds.resolve_table(request)
|
|
except NotFound as e:
|
|
return _error([e.args[0]], 404)
|
|
db = resolved.db
|
|
database_name = db.name
|
|
table_name = resolved.table
|
|
# Table must exist
|
|
db = self.ds.get_database(database_name)
|
|
if not await db.table_exists(table_name):
|
|
return _error(["Table not found: {}".format(table_name)], 404)
|
|
if not await self.ds.permission_allowed(
|
|
request.actor, "drop-table", resource=(database_name, table_name)
|
|
):
|
|
return _error(["Permission denied"], 403)
|
|
if not db.is_mutable:
|
|
return _error(["Database is immutable"], 403)
|
|
confirm = False
|
|
try:
|
|
data = json.loads(await request.post_body())
|
|
confirm = data.get("confirm")
|
|
except json.JSONDecodeError as e:
|
|
pass
|
|
|
|
if not confirm:
|
|
return Response.json(
|
|
{
|
|
"ok": True,
|
|
"database": database_name,
|
|
"table": table_name,
|
|
"row_count": (
|
|
await db.execute("select count(*) from [{}]".format(table_name))
|
|
).single_value(),
|
|
"message": 'Pass "confirm": true to confirm',
|
|
},
|
|
status=200,
|
|
)
|
|
|
|
# Drop table
|
|
def drop_table(conn):
|
|
sqlite_utils.Database(conn)[table_name].drop()
|
|
|
|
await db.execute_write_fn(drop_table)
|
|
await self.ds.track_event(
|
|
DropTableEvent(
|
|
actor=request.actor, database=database_name, table=table_name
|
|
)
|
|
)
|
|
return Response.json({"ok": True}, status=200)
|
|
|
|
|
|
def _get_extras(request):
|
|
extra_bits = request.args.getlist("_extra")
|
|
extras = set()
|
|
for bit in extra_bits:
|
|
extras.update(bit.split(","))
|
|
return extras
|
|
|
|
|
|
async def _columns_to_select(table_columns, pks, request):
|
|
columns = list(table_columns)
|
|
if "_col" in request.args:
|
|
columns = list(pks)
|
|
_cols = request.args.getlist("_col")
|
|
bad_columns = [column for column in _cols if column not in table_columns]
|
|
if bad_columns:
|
|
raise DatasetteError(
|
|
"_col={} - invalid columns".format(", ".join(bad_columns)),
|
|
status=400,
|
|
)
|
|
# De-duplicate maintaining order:
|
|
columns.extend(dict.fromkeys(_cols))
|
|
if "_nocol" in request.args:
|
|
# Return all columns EXCEPT these
|
|
bad_columns = [
|
|
column
|
|
for column in request.args.getlist("_nocol")
|
|
if (column not in table_columns) or (column in pks)
|
|
]
|
|
if bad_columns:
|
|
raise DatasetteError(
|
|
"_nocol={} - invalid columns".format(", ".join(bad_columns)),
|
|
status=400,
|
|
)
|
|
tmp_columns = [
|
|
column for column in columns if column not in request.args.getlist("_nocol")
|
|
]
|
|
columns = tmp_columns
|
|
return columns
|
|
|
|
|
|
async def _sortable_columns_for_table(datasette, database_name, table_name, use_rowid):
|
|
db = datasette.databases[database_name]
|
|
table_metadata = datasette.table_metadata(database_name, table_name)
|
|
if "sortable_columns" in table_metadata:
|
|
sortable_columns = set(table_metadata["sortable_columns"])
|
|
else:
|
|
sortable_columns = set(await db.table_columns(table_name))
|
|
if use_rowid:
|
|
sortable_columns.add("rowid")
|
|
return sortable_columns
|
|
|
|
|
|
async def _sort_order(table_metadata, sortable_columns, request, order_by):
|
|
sort = request.args.get("_sort")
|
|
sort_desc = request.args.get("_sort_desc")
|
|
|
|
if not sort and not sort_desc:
|
|
sort = table_metadata.get("sort")
|
|
sort_desc = table_metadata.get("sort_desc")
|
|
|
|
if sort and sort_desc:
|
|
raise DatasetteError(
|
|
"Cannot use _sort and _sort_desc at the same time", status=400
|
|
)
|
|
|
|
if sort:
|
|
if sort not in sortable_columns:
|
|
raise DatasetteError(f"Cannot sort table by {sort}", status=400)
|
|
|
|
order_by = escape_sqlite(sort)
|
|
|
|
if sort_desc:
|
|
if sort_desc not in sortable_columns:
|
|
raise DatasetteError(f"Cannot sort table by {sort_desc}", status=400)
|
|
|
|
order_by = f"{escape_sqlite(sort_desc)} desc"
|
|
|
|
return sort, sort_desc, order_by
|
|
|
|
|
|
async def table_view(datasette, request):
|
|
await datasette.refresh_schemas()
|
|
with tracer.trace_child_tasks():
|
|
response = await table_view_traced(datasette, request)
|
|
|
|
# CORS
|
|
if datasette.cors:
|
|
add_cors_headers(response.headers)
|
|
|
|
# Cache TTL header
|
|
ttl = request.args.get("_ttl", None)
|
|
if ttl is None or not ttl.isdigit():
|
|
ttl = datasette.setting("default_cache_ttl")
|
|
|
|
if datasette.cache_headers and response.status == 200:
|
|
ttl = int(ttl)
|
|
if ttl == 0:
|
|
ttl_header = "no-cache"
|
|
else:
|
|
ttl_header = f"max-age={ttl}"
|
|
response.headers["Cache-Control"] = ttl_header
|
|
|
|
# Referrer policy
|
|
response.headers["Referrer-Policy"] = "no-referrer"
|
|
|
|
return response
|
|
|
|
|
|
async def table_view_traced(datasette, request):
|
|
from datasette.app import TableNotFound
|
|
|
|
try:
|
|
resolved = await datasette.resolve_table(request)
|
|
except TableNotFound as not_found:
|
|
# Was this actually a canned query?
|
|
canned_query = await datasette.get_canned_query(
|
|
not_found.database_name, not_found.table, request.actor
|
|
)
|
|
# If this is a canned query, not a table, then dispatch to QueryView instead
|
|
if canned_query:
|
|
return await QueryView()(request, datasette)
|
|
else:
|
|
raise
|
|
|
|
if request.method == "POST":
|
|
return Response.text("Method not allowed", status=405)
|
|
|
|
format_ = request.url_vars.get("format") or "html"
|
|
extra_extras = None
|
|
context_for_html_hack = False
|
|
default_labels = False
|
|
if format_ == "html":
|
|
extra_extras = {"_html"}
|
|
context_for_html_hack = True
|
|
default_labels = True
|
|
|
|
view_data = await table_view_data(
|
|
datasette,
|
|
request,
|
|
resolved,
|
|
extra_extras=extra_extras,
|
|
context_for_html_hack=context_for_html_hack,
|
|
default_labels=default_labels,
|
|
)
|
|
if isinstance(view_data, Response):
|
|
return view_data
|
|
data, rows, columns, expanded_columns, sql, next_url = view_data
|
|
|
|
# Handle formats from plugins
|
|
if format_ == "csv":
|
|
|
|
async def fetch_data(request, _next=None):
|
|
(
|
|
data,
|
|
rows,
|
|
columns,
|
|
expanded_columns,
|
|
sql,
|
|
next_url,
|
|
) = await table_view_data(
|
|
datasette,
|
|
request,
|
|
resolved,
|
|
extra_extras=extra_extras,
|
|
context_for_html_hack=context_for_html_hack,
|
|
default_labels=default_labels,
|
|
_next=_next,
|
|
)
|
|
data["rows"] = rows
|
|
data["table"] = resolved.table
|
|
data["columns"] = columns
|
|
data["expanded_columns"] = expanded_columns
|
|
return data, None, None
|
|
|
|
return await stream_csv(datasette, fetch_data, request, resolved.db.name)
|
|
elif format_ in datasette.renderers.keys():
|
|
# Dispatch request to the correct output format renderer
|
|
# (CSV is not handled here due to streaming)
|
|
result = call_with_supported_arguments(
|
|
datasette.renderers[format_][0],
|
|
datasette=datasette,
|
|
columns=columns,
|
|
rows=rows,
|
|
sql=sql,
|
|
query_name=None,
|
|
database=resolved.db.name,
|
|
table=resolved.table,
|
|
request=request,
|
|
view_name="table",
|
|
truncated=False,
|
|
error=None,
|
|
# These will be deprecated in Datasette 1.0:
|
|
args=request.args,
|
|
data=data,
|
|
)
|
|
if asyncio.iscoroutine(result):
|
|
result = await result
|
|
if result is None:
|
|
raise NotFound("No data")
|
|
if isinstance(result, dict):
|
|
r = Response(
|
|
body=result.get("body"),
|
|
status=result.get("status_code") or 200,
|
|
content_type=result.get("content_type", "text/plain"),
|
|
headers=result.get("headers"),
|
|
)
|
|
elif isinstance(result, Response):
|
|
r = result
|
|
# if status_code is not None:
|
|
# # Over-ride the status code
|
|
# r.status = status_code
|
|
else:
|
|
assert False, f"{result} should be dict or Response"
|
|
elif format_ == "html":
|
|
headers = {}
|
|
templates = [
|
|
f"table-{to_css_class(resolved.db.name)}-{to_css_class(resolved.table)}.html",
|
|
"table.html",
|
|
]
|
|
environment = datasette.get_jinja_environment(request)
|
|
template = environment.select_template(templates)
|
|
alternate_url_json = datasette.absolute_url(
|
|
request,
|
|
datasette.urls.path(path_with_format(request=request, format="json")),
|
|
)
|
|
headers.update(
|
|
{
|
|
"Link": '{}; rel="alternate"; type="application/json+datasette"'.format(
|
|
alternate_url_json
|
|
)
|
|
}
|
|
)
|
|
r = Response.html(
|
|
await datasette.render_template(
|
|
template,
|
|
dict(
|
|
data,
|
|
append_querystring=append_querystring,
|
|
path_with_replaced_args=path_with_replaced_args,
|
|
fix_path=datasette.urls.path,
|
|
settings=datasette.settings_dict(),
|
|
# TODO: review up all of these hacks:
|
|
alternate_url_json=alternate_url_json,
|
|
datasette_allow_facet=(
|
|
"true" if datasette.setting("allow_facet") else "false"
|
|
),
|
|
is_sortable=any(c["sortable"] for c in data["display_columns"]),
|
|
allow_execute_sql=await datasette.permission_allowed(
|
|
request.actor, "execute-sql", resolved.db.name
|
|
),
|
|
query_ms=1.2,
|
|
select_templates=[
|
|
f"{'*' if template_name == template.name else ''}{template_name}"
|
|
for template_name in templates
|
|
],
|
|
top_table=make_slot_function(
|
|
"top_table",
|
|
datasette,
|
|
request,
|
|
database=resolved.db.name,
|
|
table=resolved.table,
|
|
),
|
|
),
|
|
request=request,
|
|
view_name="table",
|
|
),
|
|
headers=headers,
|
|
)
|
|
else:
|
|
assert False, "Invalid format: {}".format(format_)
|
|
if next_url:
|
|
r.headers["link"] = f'<{next_url}>; rel="next"'
|
|
return r
|
|
|
|
|
|
async def table_view_data(
|
|
datasette,
|
|
request,
|
|
resolved,
|
|
extra_extras=None,
|
|
context_for_html_hack=False,
|
|
default_labels=False,
|
|
_next=None,
|
|
):
|
|
extra_extras = extra_extras or set()
|
|
# We have a table or view
|
|
db = resolved.db
|
|
database_name = resolved.db.name
|
|
table_name = resolved.table
|
|
is_view = resolved.is_view
|
|
|
|
# Can this user view it?
|
|
visible, private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-table", (database_name, table_name)),
|
|
("view-database", database_name),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if not visible:
|
|
raise Forbidden("You do not have permission to view this table")
|
|
|
|
# Redirect based on request.args, if necessary
|
|
redirect_response = await _redirect_if_needed(datasette, request, resolved)
|
|
if redirect_response:
|
|
return redirect_response
|
|
|
|
# Introspect columns and primary keys for table
|
|
pks = await db.primary_keys(table_name)
|
|
table_columns = await db.table_columns(table_name)
|
|
|
|
# Take ?_col= and ?_nocol= into account
|
|
specified_columns = await _columns_to_select(table_columns, pks, request)
|
|
select_specified_columns = ", ".join(escape_sqlite(t) for t in specified_columns)
|
|
select_all_columns = ", ".join(escape_sqlite(t) for t in table_columns)
|
|
|
|
# rowid tables (no specified primary key) need a different SELECT
|
|
use_rowid = not pks and not is_view
|
|
order_by = ""
|
|
if use_rowid:
|
|
select_specified_columns = f"rowid, {select_specified_columns}"
|
|
select_all_columns = f"rowid, {select_all_columns}"
|
|
order_by = "rowid"
|
|
order_by_pks = "rowid"
|
|
else:
|
|
order_by_pks = ", ".join([escape_sqlite(pk) for pk in pks])
|
|
order_by = order_by_pks
|
|
|
|
if is_view:
|
|
order_by = ""
|
|
|
|
# TODO: This logic should turn into logic about which ?_extras get
|
|
# executed instead:
|
|
nocount = request.args.get("_nocount")
|
|
nofacet = request.args.get("_nofacet")
|
|
nosuggest = request.args.get("_nosuggest")
|
|
if request.args.get("_shape") in ("array", "object"):
|
|
nocount = True
|
|
nofacet = True
|
|
|
|
table_metadata = datasette.table_metadata(database_name, table_name)
|
|
units = table_metadata.get("units", {})
|
|
|
|
# Arguments that start with _ and don't contain a __ are
|
|
# special - things like ?_search= - and should not be
|
|
# treated as filters.
|
|
filter_args = []
|
|
for key in request.args:
|
|
if not (key.startswith("_") and "__" not in key):
|
|
for v in request.args.getlist(key):
|
|
filter_args.append((key, v))
|
|
|
|
# Build where clauses from query string arguments
|
|
filters = Filters(sorted(filter_args), units, ureg)
|
|
where_clauses, params = filters.build_where_clauses(table_name)
|
|
|
|
# Execute filters_from_request plugin hooks - including the default
|
|
# ones that live in datasette/filters.py
|
|
extra_context_from_filters = {}
|
|
extra_human_descriptions = []
|
|
|
|
for hook in pm.hook.filters_from_request(
|
|
request=request,
|
|
table=table_name,
|
|
database=database_name,
|
|
datasette=datasette,
|
|
):
|
|
filter_arguments = await await_me_maybe(hook)
|
|
if filter_arguments:
|
|
where_clauses.extend(filter_arguments.where_clauses)
|
|
params.update(filter_arguments.params)
|
|
extra_human_descriptions.extend(filter_arguments.human_descriptions)
|
|
extra_context_from_filters.update(filter_arguments.extra_context)
|
|
|
|
# Deal with custom sort orders
|
|
sortable_columns = await _sortable_columns_for_table(
|
|
datasette, database_name, table_name, use_rowid
|
|
)
|
|
|
|
sort, sort_desc, order_by = await _sort_order(
|
|
table_metadata, sortable_columns, request, order_by
|
|
)
|
|
|
|
from_sql = "from {table_name} {where}".format(
|
|
table_name=escape_sqlite(table_name),
|
|
where=(
|
|
("where {} ".format(" and ".join(where_clauses))) if where_clauses else ""
|
|
),
|
|
)
|
|
# Copy of params so we can mutate them later:
|
|
from_sql_params = dict(**params)
|
|
|
|
count_sql = f"select count(*) {from_sql}"
|
|
|
|
# Handle pagination driven by ?_next=
|
|
_next = _next or request.args.get("_next")
|
|
|
|
offset = ""
|
|
if _next:
|
|
sort_value = None
|
|
if is_view:
|
|
# _next is an offset
|
|
offset = f" offset {int(_next)}"
|
|
else:
|
|
components = urlsafe_components(_next)
|
|
# If a sort order is applied and there are multiple components,
|
|
# the first of these is the sort value
|
|
if (sort or sort_desc) and (len(components) > 1):
|
|
sort_value = components[0]
|
|
# Special case for if non-urlencoded first token was $null
|
|
if _next.split(",")[0] == "$null":
|
|
sort_value = None
|
|
components = components[1:]
|
|
|
|
# Figure out the SQL for next-based-on-primary-key first
|
|
next_by_pk_clauses = []
|
|
if use_rowid:
|
|
next_by_pk_clauses.append(f"rowid > :p{len(params)}")
|
|
params[f"p{len(params)}"] = components[0]
|
|
else:
|
|
# Apply the tie-breaker based on primary keys
|
|
if len(components) == len(pks):
|
|
param_len = len(params)
|
|
next_by_pk_clauses.append(compound_keys_after_sql(pks, param_len))
|
|
for i, pk_value in enumerate(components):
|
|
params[f"p{param_len + i}"] = pk_value
|
|
|
|
# Now add the sort SQL, which may incorporate next_by_pk_clauses
|
|
if sort or sort_desc:
|
|
if sort_value is None:
|
|
if sort_desc:
|
|
# Just items where column is null ordered by pk
|
|
where_clauses.append(
|
|
"({column} is null and {next_clauses})".format(
|
|
column=escape_sqlite(sort_desc),
|
|
next_clauses=" and ".join(next_by_pk_clauses),
|
|
)
|
|
)
|
|
else:
|
|
where_clauses.append(
|
|
"({column} is not null or ({column} is null and {next_clauses}))".format(
|
|
column=escape_sqlite(sort),
|
|
next_clauses=" and ".join(next_by_pk_clauses),
|
|
)
|
|
)
|
|
else:
|
|
where_clauses.append(
|
|
"({column} {op} :p{p}{extra_desc_only} or ({column} = :p{p} and {next_clauses}))".format(
|
|
column=escape_sqlite(sort or sort_desc),
|
|
op=">" if sort else "<",
|
|
p=len(params),
|
|
extra_desc_only=(
|
|
""
|
|
if sort
|
|
else " or {column2} is null".format(
|
|
column2=escape_sqlite(sort or sort_desc)
|
|
)
|
|
),
|
|
next_clauses=" and ".join(next_by_pk_clauses),
|
|
)
|
|
)
|
|
params[f"p{len(params)}"] = sort_value
|
|
order_by = f"{order_by}, {order_by_pks}"
|
|
else:
|
|
where_clauses.extend(next_by_pk_clauses)
|
|
|
|
where_clause = ""
|
|
if where_clauses:
|
|
where_clause = f"where {' and '.join(where_clauses)} "
|
|
|
|
if order_by:
|
|
order_by = f"order by {order_by}"
|
|
|
|
extra_args = {}
|
|
# Handle ?_size=500
|
|
# TODO: This was:
|
|
# page_size = _size or request.args.get("_size") or table_metadata.get("size")
|
|
page_size = request.args.get("_size") or table_metadata.get("size")
|
|
if page_size:
|
|
if page_size == "max":
|
|
page_size = datasette.max_returned_rows
|
|
try:
|
|
page_size = int(page_size)
|
|
if page_size < 0:
|
|
raise ValueError
|
|
|
|
except ValueError:
|
|
raise BadRequest("_size must be a positive integer")
|
|
|
|
if page_size > datasette.max_returned_rows:
|
|
raise BadRequest(f"_size must be <= {datasette.max_returned_rows}")
|
|
|
|
extra_args["page_size"] = page_size
|
|
else:
|
|
page_size = datasette.page_size
|
|
|
|
# Facets are calculated against SQL without order by or limit
|
|
sql_no_order_no_limit = (
|
|
"select {select_all_columns} from {table_name} {where}".format(
|
|
select_all_columns=select_all_columns,
|
|
table_name=escape_sqlite(table_name),
|
|
where=where_clause,
|
|
)
|
|
)
|
|
|
|
# This is the SQL that populates the main table on the page
|
|
sql = "select {select_specified_columns} from {table_name} {where}{order_by} limit {page_size}{offset}".format(
|
|
select_specified_columns=select_specified_columns,
|
|
table_name=escape_sqlite(table_name),
|
|
where=where_clause,
|
|
order_by=order_by,
|
|
page_size=page_size + 1,
|
|
offset=offset,
|
|
)
|
|
|
|
if request.args.get("_timelimit"):
|
|
extra_args["custom_time_limit"] = int(request.args.get("_timelimit"))
|
|
|
|
# Execute the main query!
|
|
try:
|
|
results = await db.execute(sql, params, truncate=True, **extra_args)
|
|
except (sqlite3.OperationalError, InvalidSql) as e:
|
|
raise DatasetteError(str(e), title="Invalid SQL", status=400)
|
|
|
|
except sqlite3.OperationalError as e:
|
|
raise DatasetteError(str(e))
|
|
|
|
columns = [r[0] for r in results.description]
|
|
rows = list(results.rows)
|
|
|
|
# Expand labeled columns if requested
|
|
expanded_columns = []
|
|
# List of (fk_dict, label_column-or-None) pairs for that table
|
|
expandable_columns = []
|
|
for fk in await db.foreign_keys_for_table(table_name):
|
|
label_column = await db.label_column_for_table(fk["other_table"])
|
|
expandable_columns.append((fk, label_column))
|
|
|
|
columns_to_expand = None
|
|
try:
|
|
all_labels = value_as_boolean(request.args.get("_labels", ""))
|
|
except ValueError:
|
|
all_labels = default_labels
|
|
# Check for explicit _label=
|
|
if "_label" in request.args:
|
|
columns_to_expand = request.args.getlist("_label")
|
|
if columns_to_expand is None and all_labels:
|
|
# expand all columns with foreign keys
|
|
columns_to_expand = [fk["column"] for fk, _ in expandable_columns]
|
|
|
|
if columns_to_expand:
|
|
expanded_labels = {}
|
|
for fk, _ in expandable_columns:
|
|
column = fk["column"]
|
|
if column not in columns_to_expand:
|
|
continue
|
|
if column not in columns:
|
|
continue
|
|
expanded_columns.append(column)
|
|
# Gather the values
|
|
column_index = columns.index(column)
|
|
values = [row[column_index] for row in rows]
|
|
# Expand them
|
|
expanded_labels.update(
|
|
await datasette.expand_foreign_keys(
|
|
request.actor, database_name, table_name, column, values
|
|
)
|
|
)
|
|
if expanded_labels:
|
|
# Rewrite the rows
|
|
new_rows = []
|
|
for row in rows:
|
|
new_row = CustomRow(columns)
|
|
for column in row.keys():
|
|
value = row[column]
|
|
if (column, value) in expanded_labels and value is not None:
|
|
new_row[column] = {
|
|
"value": value,
|
|
"label": expanded_labels[(column, value)],
|
|
}
|
|
else:
|
|
new_row[column] = value
|
|
new_rows.append(new_row)
|
|
rows = new_rows
|
|
|
|
_next = request.args.get("_next")
|
|
|
|
# Pagination next link
|
|
next_value, next_url = await _next_value_and_url(
|
|
datasette,
|
|
db,
|
|
request,
|
|
table_name,
|
|
_next,
|
|
rows,
|
|
pks,
|
|
use_rowid,
|
|
sort,
|
|
sort_desc,
|
|
page_size,
|
|
is_view,
|
|
)
|
|
rows = rows[:page_size]
|
|
|
|
# Resolve extras
|
|
extras = _get_extras(request)
|
|
if any(k for k in request.args.keys() if k == "_facet" or k.startswith("_facet_")):
|
|
extras.add("facet_results")
|
|
if request.args.get("_shape") == "object":
|
|
extras.add("primary_keys")
|
|
if extra_extras:
|
|
extras.update(extra_extras)
|
|
|
|
async def extra_count():
|
|
"Total count of rows matching these filters"
|
|
# Calculate the total count for this query
|
|
count = None
|
|
if (
|
|
not db.is_mutable
|
|
and datasette.inspect_data
|
|
and count_sql == f"select count(*) from {table_name} "
|
|
):
|
|
# We can use a previously cached table row count
|
|
try:
|
|
count = datasette.inspect_data[database_name]["tables"][table_name][
|
|
"count"
|
|
]
|
|
except KeyError:
|
|
pass
|
|
|
|
# Otherwise run a select count(*) ...
|
|
if count_sql and count is None and not nocount:
|
|
try:
|
|
count_rows = list(await db.execute(count_sql, from_sql_params))
|
|
count = count_rows[0][0]
|
|
except QueryInterrupted:
|
|
pass
|
|
return count
|
|
|
|
async def facet_instances(extra_count):
|
|
facet_instances = []
|
|
facet_classes = list(
|
|
itertools.chain.from_iterable(pm.hook.register_facet_classes())
|
|
)
|
|
for facet_class in facet_classes:
|
|
facet_instances.append(
|
|
facet_class(
|
|
datasette,
|
|
request,
|
|
database_name,
|
|
sql=sql_no_order_no_limit,
|
|
params=params,
|
|
table=table_name,
|
|
table_config=table_metadata,
|
|
row_count=extra_count,
|
|
)
|
|
)
|
|
return facet_instances
|
|
|
|
async def extra_facet_results(facet_instances):
|
|
"Results of facets calculated against this data"
|
|
facet_results = {}
|
|
facets_timed_out = []
|
|
|
|
if not nofacet:
|
|
# Run them in parallel
|
|
facet_awaitables = [facet.facet_results() for facet in facet_instances]
|
|
facet_awaitable_results = await run_sequential(*facet_awaitables)
|
|
for (
|
|
instance_facet_results,
|
|
instance_facets_timed_out,
|
|
) in facet_awaitable_results:
|
|
for facet_info in instance_facet_results:
|
|
base_key = facet_info["name"]
|
|
key = base_key
|
|
i = 1
|
|
while key in facet_results:
|
|
i += 1
|
|
key = f"{base_key}_{i}"
|
|
facet_results[key] = facet_info
|
|
facets_timed_out.extend(instance_facets_timed_out)
|
|
|
|
return {
|
|
"results": facet_results,
|
|
"timed_out": facets_timed_out,
|
|
}
|
|
|
|
async def extra_suggested_facets(facet_instances):
|
|
"Suggestions for facets that might return interesting results"
|
|
suggested_facets = []
|
|
# Calculate suggested facets
|
|
if (
|
|
datasette.setting("suggest_facets")
|
|
and datasette.setting("allow_facet")
|
|
and not _next
|
|
and not nofacet
|
|
and not nosuggest
|
|
):
|
|
# Run them in parallel
|
|
facet_suggest_awaitables = [facet.suggest() for facet in facet_instances]
|
|
for suggest_result in await run_sequential(*facet_suggest_awaitables):
|
|
suggested_facets.extend(suggest_result)
|
|
return suggested_facets
|
|
|
|
# Faceting
|
|
if not datasette.setting("allow_facet") and any(
|
|
arg.startswith("_facet") for arg in request.args
|
|
):
|
|
raise BadRequest("_facet= is not allowed")
|
|
|
|
# human_description_en combines filters AND search, if provided
|
|
async def extra_human_description_en():
|
|
"Human-readable description of the filters"
|
|
human_description_en = filters.human_description_en(
|
|
extra=extra_human_descriptions
|
|
)
|
|
if sort or sort_desc:
|
|
human_description_en = " ".join(
|
|
[b for b in [human_description_en, sorted_by] if b]
|
|
)
|
|
return human_description_en
|
|
|
|
if sort or sort_desc:
|
|
sorted_by = "sorted by {}{}".format(
|
|
(sort or sort_desc), " descending" if sort_desc else ""
|
|
)
|
|
|
|
async def extra_next_url():
|
|
"Full URL for the next page of results"
|
|
return next_url
|
|
|
|
async def extra_columns():
|
|
"Column names returned by this query"
|
|
return columns
|
|
|
|
async def extra_primary_keys():
|
|
"Primary keys for this table"
|
|
return pks
|
|
|
|
async def extra_table_actions():
|
|
async def table_actions():
|
|
links = []
|
|
for hook in pm.hook.table_actions(
|
|
datasette=datasette,
|
|
table=table_name,
|
|
database=database_name,
|
|
actor=request.actor,
|
|
request=request,
|
|
):
|
|
extra_links = await await_me_maybe(hook)
|
|
if extra_links:
|
|
links.extend(extra_links)
|
|
return links
|
|
|
|
return table_actions
|
|
|
|
async def extra_is_view():
|
|
return is_view
|
|
|
|
async def extra_debug():
|
|
"Extra debug information"
|
|
return {
|
|
"resolved": repr(resolved),
|
|
"url_vars": request.url_vars,
|
|
"nofacet": nofacet,
|
|
"nosuggest": nosuggest,
|
|
}
|
|
|
|
async def extra_request():
|
|
"Full information about the request"
|
|
return {
|
|
"url": request.url,
|
|
"path": request.path,
|
|
"full_path": request.full_path,
|
|
"host": request.host,
|
|
"args": request.args._data,
|
|
}
|
|
|
|
async def run_display_columns_and_rows():
|
|
display_columns, display_rows = await display_columns_and_rows(
|
|
datasette,
|
|
database_name,
|
|
table_name,
|
|
results.description,
|
|
rows,
|
|
link_column=not is_view,
|
|
truncate_cells=datasette.setting("truncate_cells_html"),
|
|
sortable_columns=sortable_columns,
|
|
request=request,
|
|
)
|
|
return {
|
|
"columns": display_columns,
|
|
"rows": display_rows,
|
|
}
|
|
|
|
async def extra_display_columns(run_display_columns_and_rows):
|
|
return run_display_columns_and_rows["columns"]
|
|
|
|
async def extra_display_rows(run_display_columns_and_rows):
|
|
return run_display_columns_and_rows["rows"]
|
|
|
|
async def extra_query():
|
|
"Details of the underlying SQL query"
|
|
return {
|
|
"sql": sql,
|
|
"params": params,
|
|
}
|
|
|
|
async def extra_metadata():
|
|
"Metadata about the table and database"
|
|
metadata = (
|
|
(datasette.metadata("databases") or {})
|
|
.get(database_name, {})
|
|
.get("tables", {})
|
|
.get(table_name, {})
|
|
)
|
|
datasette.update_with_inherited_metadata(metadata)
|
|
return metadata
|
|
|
|
async def extra_database():
|
|
return database_name
|
|
|
|
async def extra_table():
|
|
return table_name
|
|
|
|
async def extra_database_color():
|
|
return db.color
|
|
|
|
async def extra_form_hidden_args():
|
|
form_hidden_args = []
|
|
for key in request.args:
|
|
if (
|
|
key.startswith("_")
|
|
and key not in ("_sort", "_sort_desc", "_search", "_next")
|
|
and "__" not in key
|
|
):
|
|
for value in request.args.getlist(key):
|
|
form_hidden_args.append((key, value))
|
|
return form_hidden_args
|
|
|
|
async def extra_filters():
|
|
return filters
|
|
|
|
async def extra_custom_table_templates():
|
|
return [
|
|
f"_table-{to_css_class(database_name)}-{to_css_class(table_name)}.html",
|
|
f"_table-table-{to_css_class(database_name)}-{to_css_class(table_name)}.html",
|
|
"_table.html",
|
|
]
|
|
|
|
async def extra_sorted_facet_results(extra_facet_results):
|
|
return sorted(
|
|
extra_facet_results["results"].values(),
|
|
key=lambda f: (len(f["results"]), f["name"]),
|
|
reverse=True,
|
|
)
|
|
|
|
async def extra_table_definition():
|
|
return await db.get_table_definition(table_name)
|
|
|
|
async def extra_view_definition():
|
|
return await db.get_view_definition(table_name)
|
|
|
|
async def extra_renderers(extra_expandable_columns, extra_query):
|
|
renderers = {}
|
|
url_labels_extra = {}
|
|
if extra_expandable_columns:
|
|
url_labels_extra = {"_labels": "on"}
|
|
for key, (_, can_render) in datasette.renderers.items():
|
|
it_can_render = call_with_supported_arguments(
|
|
can_render,
|
|
datasette=datasette,
|
|
columns=columns or [],
|
|
rows=rows or [],
|
|
sql=extra_query.get("sql", None),
|
|
query_name=None,
|
|
database=database_name,
|
|
table=table_name,
|
|
request=request,
|
|
view_name="table",
|
|
)
|
|
it_can_render = await await_me_maybe(it_can_render)
|
|
if it_can_render:
|
|
renderers[key] = datasette.urls.path(
|
|
path_with_format(
|
|
request=request, format=key, extra_qs={**url_labels_extra}
|
|
)
|
|
)
|
|
return renderers
|
|
|
|
async def extra_private():
|
|
return private
|
|
|
|
async def extra_expandable_columns():
|
|
expandables = []
|
|
db = datasette.databases[database_name]
|
|
for fk in await db.foreign_keys_for_table(table_name):
|
|
label_column = await db.label_column_for_table(fk["other_table"])
|
|
expandables.append((fk, label_column))
|
|
return expandables
|
|
|
|
async def extra_extras():
|
|
"Available ?_extra= blocks"
|
|
all_extras = [
|
|
(key[len("extra_") :], fn.__doc__)
|
|
for key, fn in registry._registry.items()
|
|
if key.startswith("extra_")
|
|
]
|
|
return [
|
|
{
|
|
"name": name,
|
|
"description": doc,
|
|
"toggle_url": datasette.absolute_url(
|
|
request,
|
|
datasette.urls.path(
|
|
path_with_added_args(request, {"_extra": name})
|
|
if name not in extras
|
|
else path_with_removed_args(request, {"_extra": name})
|
|
),
|
|
),
|
|
"selected": name in extras,
|
|
}
|
|
for name, doc in all_extras
|
|
]
|
|
|
|
async def extra_facets_timed_out(extra_facet_results):
|
|
return extra_facet_results["timed_out"]
|
|
|
|
bundles = {
|
|
"html": [
|
|
"suggested_facets",
|
|
"facet_results",
|
|
"facets_timed_out",
|
|
"count",
|
|
"human_description_en",
|
|
"next_url",
|
|
"metadata",
|
|
"query",
|
|
"columns",
|
|
"display_columns",
|
|
"display_rows",
|
|
"database",
|
|
"table",
|
|
"database_color",
|
|
"table_actions",
|
|
"filters",
|
|
"renderers",
|
|
"custom_table_templates",
|
|
"sorted_facet_results",
|
|
"table_definition",
|
|
"view_definition",
|
|
"is_view",
|
|
"private",
|
|
"primary_keys",
|
|
"expandable_columns",
|
|
"form_hidden_args",
|
|
]
|
|
}
|
|
|
|
for key, values in bundles.items():
|
|
if f"_{key}" in extras:
|
|
extras.update(values)
|
|
extras.discard(f"_{key}")
|
|
|
|
registry = Registry(
|
|
extra_count,
|
|
extra_facet_results,
|
|
extra_facets_timed_out,
|
|
extra_suggested_facets,
|
|
facet_instances,
|
|
extra_human_description_en,
|
|
extra_next_url,
|
|
extra_columns,
|
|
extra_primary_keys,
|
|
run_display_columns_and_rows,
|
|
extra_display_columns,
|
|
extra_display_rows,
|
|
extra_debug,
|
|
extra_request,
|
|
extra_query,
|
|
extra_metadata,
|
|
extra_extras,
|
|
extra_database,
|
|
extra_table,
|
|
extra_database_color,
|
|
extra_table_actions,
|
|
extra_filters,
|
|
extra_renderers,
|
|
extra_custom_table_templates,
|
|
extra_sorted_facet_results,
|
|
extra_table_definition,
|
|
extra_view_definition,
|
|
extra_is_view,
|
|
extra_private,
|
|
extra_expandable_columns,
|
|
extra_form_hidden_args,
|
|
)
|
|
|
|
results = await registry.resolve_multi(
|
|
["extra_{}".format(extra) for extra in extras]
|
|
)
|
|
data = {
|
|
"ok": True,
|
|
"next": next_value and str(next_value) or None,
|
|
}
|
|
data.update(
|
|
{
|
|
key.replace("extra_", ""): value
|
|
for key, value in results.items()
|
|
if key.startswith("extra_") and key.replace("extra_", "") in extras
|
|
}
|
|
)
|
|
raw_sqlite_rows = rows[:page_size]
|
|
data["rows"] = [dict(r) for r in raw_sqlite_rows]
|
|
|
|
if context_for_html_hack:
|
|
data.update(extra_context_from_filters)
|
|
# filter_columns combine the columns we know are available
|
|
# in the table with any additional columns (such as rowid)
|
|
# which are available in the query
|
|
data["filter_columns"] = list(columns) + [
|
|
table_column
|
|
for table_column in table_columns
|
|
if table_column not in columns
|
|
]
|
|
url_labels_extra = {}
|
|
if data.get("expandable_columns"):
|
|
url_labels_extra = {"_labels": "on"}
|
|
url_csv_args = {"_size": "max", **url_labels_extra}
|
|
url_csv = datasette.urls.path(
|
|
path_with_format(request=request, format="csv", extra_qs=url_csv_args)
|
|
)
|
|
url_csv_path = url_csv.split("?")[0]
|
|
data.update(
|
|
{
|
|
"url_csv": url_csv,
|
|
"url_csv_path": url_csv_path,
|
|
"url_csv_hidden_args": [
|
|
(key, value)
|
|
for key, value in urllib.parse.parse_qsl(request.query_string)
|
|
if key not in ("_labels", "_facet", "_size")
|
|
]
|
|
+ [("_size", "max")],
|
|
}
|
|
)
|
|
# if no sort specified AND table has a single primary key,
|
|
# set sort to that so arrow is displayed
|
|
if not sort and not sort_desc:
|
|
if 1 == len(pks):
|
|
sort = pks[0]
|
|
elif use_rowid:
|
|
sort = "rowid"
|
|
data["sort"] = sort
|
|
data["sort_desc"] = sort_desc
|
|
|
|
return data, rows[:page_size], columns, expanded_columns, sql, next_url
|
|
|
|
|
|
async def _next_value_and_url(
|
|
datasette,
|
|
db,
|
|
request,
|
|
table_name,
|
|
_next,
|
|
rows,
|
|
pks,
|
|
use_rowid,
|
|
sort,
|
|
sort_desc,
|
|
page_size,
|
|
is_view,
|
|
):
|
|
next_value = None
|
|
next_url = None
|
|
if 0 < page_size < len(rows):
|
|
if is_view:
|
|
next_value = int(_next or 0) + page_size
|
|
else:
|
|
next_value = path_from_row_pks(rows[-2], pks, use_rowid)
|
|
# If there's a sort or sort_desc, add that value as a prefix
|
|
if (sort or sort_desc) and not is_view:
|
|
try:
|
|
prefix = rows[-2][sort or sort_desc]
|
|
except IndexError:
|
|
# sort/sort_desc column missing from SELECT - look up value by PK instead
|
|
prefix_where_clause = " and ".join(
|
|
"[{}] = :pk{}".format(pk, i) for i, pk in enumerate(pks)
|
|
)
|
|
prefix_lookup_sql = "select [{}] from [{}] where {}".format(
|
|
sort or sort_desc, table_name, prefix_where_clause
|
|
)
|
|
prefix = (
|
|
await db.execute(
|
|
prefix_lookup_sql,
|
|
{
|
|
**{
|
|
"pk{}".format(i): rows[-2][pk]
|
|
for i, pk in enumerate(pks)
|
|
}
|
|
},
|
|
)
|
|
).single_value()
|
|
if isinstance(prefix, dict) and "value" in prefix:
|
|
prefix = prefix["value"]
|
|
if prefix is None:
|
|
prefix = "$null"
|
|
else:
|
|
prefix = tilde_encode(str(prefix))
|
|
next_value = f"{prefix},{next_value}"
|
|
added_args = {"_next": next_value}
|
|
if sort:
|
|
added_args["_sort"] = sort
|
|
else:
|
|
added_args["_sort_desc"] = sort_desc
|
|
else:
|
|
added_args = {"_next": next_value}
|
|
next_url = datasette.absolute_url(
|
|
request, datasette.urls.path(path_with_replaced_args(request, added_args))
|
|
)
|
|
return next_value, next_url
|