kopia lustrzana https://github.com/simonw/datasette
1002 wiersze
38 KiB
Python
1002 wiersze
38 KiB
Python
import asyncio
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import itertools
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import json
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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 import tracer
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from datasette.utils import (
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await_me_maybe,
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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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tilde_decode,
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tilde_encode,
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escape_sqlite,
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filters_should_redirect,
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format_bytes,
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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_removed_args,
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path_with_replaced_args,
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to_css_class,
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urlsafe_components,
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value_as_boolean,
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)
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from datasette.utils.asgi import BadRequest, NotFound
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from datasette.filters import Filters
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from .base import DataView, DatasetteError, ureg
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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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class TableView(DataView):
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name = "table"
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async def sortable_columns_for_table(self, database_name, table_name, use_rowid):
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db = self.ds.databases[database_name]
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table_metadata = self.ds.table_metadata(database_name, table_name)
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if "sortable_columns" in table_metadata:
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sortable_columns = set(table_metadata["sortable_columns"])
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else:
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sortable_columns = set(await db.table_columns(table_name))
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if use_rowid:
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sortable_columns.add("rowid")
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return sortable_columns
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async def expandable_columns(self, database_name, table_name):
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# Returns list of (fk_dict, label_column-or-None) pairs for that table
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expandables = []
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db = self.ds.databases[database_name]
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for fk in await db.foreign_keys_for_table(table_name):
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label_column = await db.label_column_for_table(fk["other_table"])
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expandables.append((fk, label_column))
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return expandables
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async def post(self, request):
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database_route = tilde_decode(request.url_vars["database"])
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try:
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db = self.ds.get_database(route=database_route)
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except KeyError:
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raise NotFound("Database not found: {}".format(database_route))
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database_name = db.name
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table_name = tilde_decode(request.url_vars["table"])
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# Handle POST to a canned query
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canned_query = await self.ds.get_canned_query(
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database_name, table_name, request.actor
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)
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assert canned_query, "You may only POST to a canned query"
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return await QueryView(self.ds).data(
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request,
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canned_query["sql"],
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metadata=canned_query,
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editable=False,
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canned_query=table_name,
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named_parameters=canned_query.get("params"),
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write=bool(canned_query.get("write")),
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)
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async def columns_to_select(self, table_columns, pks, request):
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columns = list(table_columns)
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if "_col" in request.args:
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columns = list(pks)
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_cols = request.args.getlist("_col")
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bad_columns = [column for column in _cols if column not in table_columns]
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if bad_columns:
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raise DatasetteError(
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"_col={} - invalid columns".format(", ".join(bad_columns)),
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status=400,
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)
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# De-duplicate maintaining order:
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columns.extend(dict.fromkeys(_cols))
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if "_nocol" in request.args:
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# Return all columns EXCEPT these
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bad_columns = [
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column
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for column in request.args.getlist("_nocol")
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if (column not in table_columns) or (column in pks)
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]
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if bad_columns:
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raise DatasetteError(
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"_nocol={} - invalid columns".format(", ".join(bad_columns)),
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status=400,
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)
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tmp_columns = [
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column
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for column in columns
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if column not in request.args.getlist("_nocol")
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]
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columns = tmp_columns
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return columns
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async def data(
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self,
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request,
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default_labels=False,
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_next=None,
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_size=None,
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):
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with tracer.trace_child_tasks():
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return await self._data_traced(request, default_labels, _next, _size)
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async def _data_traced(
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self,
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request,
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default_labels=False,
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_next=None,
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_size=None,
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):
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database_route = tilde_decode(request.url_vars["database"])
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table_name = tilde_decode(request.url_vars["table"])
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try:
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db = self.ds.get_database(route=database_route)
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except KeyError:
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raise NotFound("Database not found: {}".format(database_route))
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database_name = db.name
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# For performance profiling purposes, ?_noparallel=1 turns off asyncio.gather
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async def _gather_parallel(*args):
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return await asyncio.gather(*args)
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async def _gather_sequential(*args):
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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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gather = (
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_gather_sequential if request.args.get("_noparallel") else _gather_parallel
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)
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# If this is a canned query, not a table, then dispatch to QueryView instead
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canned_query = await self.ds.get_canned_query(
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database_name, table_name, request.actor
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)
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if canned_query:
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return await QueryView(self.ds).data(
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request,
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canned_query["sql"],
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metadata=canned_query,
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editable=False,
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canned_query=table_name,
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named_parameters=canned_query.get("params"),
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write=bool(canned_query.get("write")),
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)
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is_view, table_exists = map(
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bool,
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await gather(
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db.get_view_definition(table_name), db.table_exists(table_name)
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),
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)
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# If table or view not found, return 404
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if not is_view and not table_exists:
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raise NotFound(f"Table not found: {table_name}")
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# Ensure user has permission to view this table
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await self.ds.ensure_permissions(
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request.actor,
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[
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("view-table", (database_name, table_name)),
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("view-database", database_name),
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"view-instance",
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],
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)
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private = not await self.ds.permission_allowed(
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None, "view-table", (database_name, table_name), default=True
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)
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# Handle ?_filter_column and redirect, if present
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redirect_params = filters_should_redirect(request.args)
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if redirect_params:
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return self.redirect(
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request,
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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 self.redirect(
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request,
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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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forward_querystring=False,
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)
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# Introspect columns and primary keys for table
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pks = await db.primary_keys(table_name)
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table_columns = await db.table_columns(table_name)
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# Take ?_col= and ?_nocol= into account
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specified_columns = await self.columns_to_select(table_columns, pks, request)
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select_specified_columns = ", ".join(
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escape_sqlite(t) for t in specified_columns
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)
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select_all_columns = ", ".join(escape_sqlite(t) for t in table_columns)
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# rowid tables (no specified primary key) need a different SELECT
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use_rowid = not pks and not is_view
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if use_rowid:
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select_specified_columns = f"rowid, {select_specified_columns}"
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select_all_columns = f"rowid, {select_all_columns}"
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order_by = "rowid"
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order_by_pks = "rowid"
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else:
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order_by_pks = ", ".join([escape_sqlite(pk) for pk in pks])
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order_by = order_by_pks
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if is_view:
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order_by = ""
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nocount = request.args.get("_nocount")
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nofacet = request.args.get("_nofacet")
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nosuggest = request.args.get("_nosuggest")
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if request.args.get("_shape") in ("array", "object"):
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nocount = True
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nofacet = True
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table_metadata = self.ds.table_metadata(database_name, table_name)
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units = table_metadata.get("units", {})
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# Arguments that start with _ and don't contain a __ are
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# special - things like ?_search= - and should not be
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# treated as filters.
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filter_args = []
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for key in request.args:
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if not (key.startswith("_") and "__" not in key):
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for v in request.args.getlist(key):
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filter_args.append((key, v))
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# Build where clauses from query string arguments
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filters = Filters(sorted(filter_args), units, ureg)
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where_clauses, params = filters.build_where_clauses(table_name)
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# Execute filters_from_request plugin hooks - including the default
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# ones that live in datasette/filters.py
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extra_context_from_filters = {}
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extra_human_descriptions = []
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for hook in pm.hook.filters_from_request(
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request=request,
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table=table_name,
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database=database_name,
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datasette=self.ds,
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):
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filter_arguments = await await_me_maybe(hook)
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if filter_arguments:
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where_clauses.extend(filter_arguments.where_clauses)
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params.update(filter_arguments.params)
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extra_human_descriptions.extend(filter_arguments.human_descriptions)
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extra_context_from_filters.update(filter_arguments.extra_context)
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# Deal with custom sort orders
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sortable_columns = await self.sortable_columns_for_table(
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database_name, table_name, use_rowid
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)
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sort = request.args.get("_sort")
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sort_desc = request.args.get("_sort_desc")
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if not sort and not sort_desc:
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sort = table_metadata.get("sort")
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sort_desc = table_metadata.get("sort_desc")
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if sort and sort_desc:
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raise DatasetteError("Cannot use _sort and _sort_desc at the same time")
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if sort:
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if sort not in sortable_columns:
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raise DatasetteError(f"Cannot sort table by {sort}")
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order_by = escape_sqlite(sort)
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if sort_desc:
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if sort_desc not in sortable_columns:
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raise DatasetteError(f"Cannot sort table by {sort_desc}")
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order_by = f"{escape_sqlite(sort_desc)} desc"
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from_sql = "from {table_name} {where}".format(
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table_name=escape_sqlite(table_name),
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where=("where {} ".format(" and ".join(where_clauses)))
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if where_clauses
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else "",
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)
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# Copy of params so we can mutate them later:
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from_sql_params = dict(**params)
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count_sql = f"select count(*) {from_sql}"
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# Handle pagination driven by ?_next=
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_next = _next or request.args.get("_next")
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offset = ""
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if _next:
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sort_value = None
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if is_view:
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# _next is an offset
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offset = f" offset {int(_next)}"
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else:
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components = urlsafe_components(_next)
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# If a sort order is applied and there are multiple components,
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# the first of these is the sort value
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if (sort or sort_desc) and (len(components) > 1):
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sort_value = components[0]
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# Special case for if non-urlencoded first token was $null
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if _next.split(",")[0] == "$null":
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sort_value = None
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components = components[1:]
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# Figure out the SQL for next-based-on-primary-key first
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next_by_pk_clauses = []
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if use_rowid:
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next_by_pk_clauses.append(f"rowid > :p{len(params)}")
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params[f"p{len(params)}"] = components[0]
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else:
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# Apply the tie-breaker based on primary keys
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if len(components) == len(pks):
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param_len = len(params)
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next_by_pk_clauses.append(
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compound_keys_after_sql(pks, param_len)
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)
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for i, pk_value in enumerate(components):
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params[f"p{param_len + i}"] = pk_value
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# Now add the sort SQL, which may incorporate next_by_pk_clauses
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if sort or sort_desc:
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if sort_value is None:
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if sort_desc:
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# Just items where column is null ordered by pk
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where_clauses.append(
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"({column} is null and {next_clauses})".format(
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column=escape_sqlite(sort_desc),
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next_clauses=" and ".join(next_by_pk_clauses),
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)
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)
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else:
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where_clauses.append(
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"({column} is not null or ({column} is null and {next_clauses}))".format(
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column=escape_sqlite(sort),
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next_clauses=" and ".join(next_by_pk_clauses),
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)
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)
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else:
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where_clauses.append(
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"({column} {op} :p{p}{extra_desc_only} or ({column} = :p{p} and {next_clauses}))".format(
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column=escape_sqlite(sort or sort_desc),
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op=">" if sort else "<",
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p=len(params),
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extra_desc_only=""
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if sort
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else " or {column2} is null".format(
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column2=escape_sqlite(sort or sort_desc)
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),
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next_clauses=" and ".join(next_by_pk_clauses),
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)
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)
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params[f"p{len(params)}"] = sort_value
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order_by = f"{order_by}, {order_by_pks}"
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else:
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where_clauses.extend(next_by_pk_clauses)
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where_clause = ""
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if where_clauses:
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where_clause = f"where {' and '.join(where_clauses)} "
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if order_by:
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order_by = f"order by {order_by}"
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extra_args = {}
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# Handle ?_size=500
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page_size = _size or request.args.get("_size") or table_metadata.get("size")
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if page_size:
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if page_size == "max":
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page_size = self.ds.max_returned_rows
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try:
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page_size = int(page_size)
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if page_size < 0:
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raise ValueError
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except ValueError:
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raise BadRequest("_size must be a positive integer")
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if page_size > self.ds.max_returned_rows:
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raise BadRequest(f"_size must be <= {self.ds.max_returned_rows}")
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extra_args["page_size"] = page_size
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else:
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page_size = self.ds.page_size
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# Facets are calculated against SQL without order by or limit
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sql_no_order_no_limit = (
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"select {select_all_columns} from {table_name} {where}".format(
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select_all_columns=select_all_columns,
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table_name=escape_sqlite(table_name),
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where=where_clause,
|
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)
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)
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|
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# This is the SQL that populates the main table on the page
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sql = "select {select_specified_columns} from {table_name} {where}{order_by} limit {page_size}{offset}".format(
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select_specified_columns=select_specified_columns,
|
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table_name=escape_sqlite(table_name),
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where=where_clause,
|
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order_by=order_by,
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page_size=page_size + 1,
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offset=offset,
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)
|
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|
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if request.args.get("_timelimit"):
|
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extra_args["custom_time_limit"] = int(request.args.get("_timelimit"))
|
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|
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# Execute the main query!
|
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results = await db.execute(sql, params, truncate=True, **extra_args)
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|
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# Calculate the total count for this query
|
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filtered_table_rows_count = None
|
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if (
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not db.is_mutable
|
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and self.ds.inspect_data
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and count_sql == f"select count(*) from {table_name} "
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):
|
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# We can use a previously cached table row count
|
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try:
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filtered_table_rows_count = self.ds.inspect_data[database_name][
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"tables"
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][table_name]["count"]
|
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except KeyError:
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pass
|
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|
|
# Otherwise run a select count(*) ...
|
|
if count_sql and filtered_table_rows_count is None and not nocount:
|
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try:
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count_rows = list(await db.execute(count_sql, from_sql_params))
|
|
filtered_table_rows_count = count_rows[0][0]
|
|
except QueryInterrupted:
|
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pass
|
|
|
|
# Faceting
|
|
if not self.ds.setting("allow_facet") and any(
|
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arg.startswith("_facet") for arg in request.args
|
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):
|
|
raise BadRequest("_facet= is not allowed")
|
|
|
|
# pylint: disable=no-member
|
|
facet_classes = list(
|
|
itertools.chain.from_iterable(pm.hook.register_facet_classes())
|
|
)
|
|
facet_results = {}
|
|
facets_timed_out = []
|
|
facet_instances = []
|
|
for klass in facet_classes:
|
|
facet_instances.append(
|
|
klass(
|
|
self.ds,
|
|
request,
|
|
database_name,
|
|
sql=sql_no_order_no_limit,
|
|
params=params,
|
|
table=table_name,
|
|
metadata=table_metadata,
|
|
row_count=filtered_table_rows_count,
|
|
)
|
|
)
|
|
|
|
async def execute_facets():
|
|
if not nofacet:
|
|
# Run them in parallel
|
|
facet_awaitables = [facet.facet_results() for facet in facet_instances]
|
|
facet_awaitable_results = await gather(*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)
|
|
|
|
suggested_facets = []
|
|
|
|
async def execute_suggested_facets():
|
|
# Calculate suggested facets
|
|
if (
|
|
self.ds.setting("suggest_facets")
|
|
and self.ds.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 gather(*facet_suggest_awaitables):
|
|
suggested_facets.extend(suggest_result)
|
|
|
|
await gather(execute_facets(), execute_suggested_facets())
|
|
|
|
# Figure out columns and rows for the query
|
|
columns = [r[0] for r in results.description]
|
|
rows = list(results.rows)
|
|
|
|
# Expand labeled columns if requested
|
|
expanded_columns = []
|
|
expandable_columns = await self.expandable_columns(database_name, table_name)
|
|
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 self.ds.expand_foreign_keys(
|
|
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
|
|
|
|
# Pagination next link
|
|
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:
|
|
prefix = rows[-2][sort or sort_desc]
|
|
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 = self.ds.absolute_url(
|
|
request, self.ds.urls.path(path_with_replaced_args(request, added_args))
|
|
)
|
|
rows = rows[:page_size]
|
|
|
|
# human_description_en combines filters AND search, if provided
|
|
human_description_en = filters.human_description_en(
|
|
extra=extra_human_descriptions
|
|
)
|
|
|
|
if sort or sort_desc:
|
|
sorted_by = "sorted by {}{}".format(
|
|
(sort or sort_desc), " descending" if sort_desc else ""
|
|
)
|
|
human_description_en = " ".join(
|
|
[b for b in [human_description_en, sorted_by] if b]
|
|
)
|
|
|
|
async def extra_template():
|
|
nonlocal sort
|
|
|
|
display_columns, display_rows = await display_columns_and_rows(
|
|
self.ds,
|
|
database_name,
|
|
table_name,
|
|
results.description,
|
|
rows,
|
|
link_column=not is_view,
|
|
truncate_cells=self.ds.setting("truncate_cells_html"),
|
|
sortable_columns=await self.sortable_columns_for_table(
|
|
database_name, table_name, use_rowid=True
|
|
),
|
|
)
|
|
metadata = (
|
|
(self.ds.metadata("databases") or {})
|
|
.get(database_name, {})
|
|
.get("tables", {})
|
|
.get(table_name, {})
|
|
)
|
|
self.ds.update_with_inherited_metadata(metadata)
|
|
|
|
form_hidden_args = []
|
|
for key in request.args:
|
|
if (
|
|
key.startswith("_")
|
|
and key not in ("_sort", "_search", "_next")
|
|
and "__" not in key
|
|
):
|
|
for value in request.args.getlist(key):
|
|
form_hidden_args.append((key, value))
|
|
|
|
# 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"
|
|
|
|
async def table_actions():
|
|
links = []
|
|
for hook in pm.hook.table_actions(
|
|
datasette=self.ds,
|
|
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
|
|
|
|
# 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
|
|
filter_columns = list(columns) + [
|
|
table_column
|
|
for table_column in table_columns
|
|
if table_column not in columns
|
|
]
|
|
d = {
|
|
"table_actions": table_actions,
|
|
"use_rowid": use_rowid,
|
|
"filters": filters,
|
|
"display_columns": display_columns,
|
|
"filter_columns": filter_columns,
|
|
"display_rows": display_rows,
|
|
"facets_timed_out": facets_timed_out,
|
|
"sorted_facet_results": sorted(
|
|
facet_results.values(),
|
|
key=lambda f: (len(f["results"]), f["name"]),
|
|
reverse=True,
|
|
),
|
|
"form_hidden_args": form_hidden_args,
|
|
"is_sortable": any(c["sortable"] for c in display_columns),
|
|
"fix_path": self.ds.urls.path,
|
|
"path_with_replaced_args": path_with_replaced_args,
|
|
"path_with_removed_args": path_with_removed_args,
|
|
"append_querystring": append_querystring,
|
|
"request": request,
|
|
"sort": sort,
|
|
"sort_desc": sort_desc,
|
|
"disable_sort": is_view,
|
|
"custom_table_templates": [
|
|
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",
|
|
],
|
|
"metadata": metadata,
|
|
"view_definition": await db.get_view_definition(table_name),
|
|
"table_definition": await db.get_table_definition(table_name),
|
|
"datasette_allow_facet": "true"
|
|
if self.ds.setting("allow_facet")
|
|
else "false",
|
|
}
|
|
d.update(extra_context_from_filters)
|
|
return d
|
|
|
|
return (
|
|
{
|
|
"database": database_name,
|
|
"table": table_name,
|
|
"is_view": is_view,
|
|
"human_description_en": human_description_en,
|
|
"rows": rows[:page_size],
|
|
"truncated": results.truncated,
|
|
"filtered_table_rows_count": filtered_table_rows_count,
|
|
"expanded_columns": expanded_columns,
|
|
"expandable_columns": expandable_columns,
|
|
"columns": columns,
|
|
"primary_keys": pks,
|
|
"units": units,
|
|
"query": {"sql": sql, "params": params},
|
|
"facet_results": facet_results,
|
|
"suggested_facets": suggested_facets,
|
|
"next": next_value and str(next_value) or None,
|
|
"next_url": next_url,
|
|
"private": private,
|
|
"allow_execute_sql": await self.ds.permission_allowed(
|
|
request.actor, "execute-sql", database_name, default=True
|
|
),
|
|
},
|
|
extra_template,
|
|
(
|
|
f"table-{to_css_class(database_name)}-{to_css_class(table_name)}.html",
|
|
"table.html",
|
|
),
|
|
)
|
|
|
|
|
|
async def _sql_params_pks(db, table, pk_values):
|
|
pks = await db.primary_keys(table)
|
|
use_rowid = not pks
|
|
select = "*"
|
|
if use_rowid:
|
|
select = "rowid, *"
|
|
pks = ["rowid"]
|
|
wheres = [f'"{pk}"=:p{i}' for i, pk in enumerate(pks)]
|
|
sql = f"select {select} from {escape_sqlite(table)} where {' AND '.join(wheres)}"
|
|
params = {}
|
|
for i, pk_value in enumerate(pk_values):
|
|
params[f"p{i}"] = pk_value
|
|
return sql, params, pks
|
|
|
|
|
|
async def display_columns_and_rows(
|
|
datasette,
|
|
database_name,
|
|
table_name,
|
|
description,
|
|
rows,
|
|
link_column=False,
|
|
truncate_cells=0,
|
|
sortable_columns=None,
|
|
):
|
|
"""Returns columns, rows for specified table - including fancy foreign key treatment"""
|
|
sortable_columns = sortable_columns or set()
|
|
db = datasette.databases[database_name]
|
|
table_metadata = datasette.table_metadata(database_name, table_name)
|
|
column_descriptions = table_metadata.get("columns") or {}
|
|
column_details = {
|
|
col.name: col for col in await db.table_column_details(table_name)
|
|
}
|
|
pks = await db.primary_keys(table_name)
|
|
pks_for_display = pks
|
|
if not pks_for_display:
|
|
pks_for_display = ["rowid"]
|
|
|
|
columns = []
|
|
for r in description:
|
|
if r[0] == "rowid" and "rowid" not in column_details:
|
|
type_ = "integer"
|
|
notnull = 0
|
|
else:
|
|
type_ = column_details[r[0]].type
|
|
notnull = column_details[r[0]].notnull
|
|
columns.append(
|
|
{
|
|
"name": r[0],
|
|
"sortable": r[0] in sortable_columns,
|
|
"is_pk": r[0] in pks_for_display,
|
|
"type": type_,
|
|
"notnull": notnull,
|
|
"description": column_descriptions.get(r[0]),
|
|
}
|
|
)
|
|
|
|
column_to_foreign_key_table = {
|
|
fk["column"]: fk["other_table"]
|
|
for fk in await db.foreign_keys_for_table(table_name)
|
|
}
|
|
|
|
cell_rows = []
|
|
base_url = datasette.setting("base_url")
|
|
for row in rows:
|
|
cells = []
|
|
# Unless we are a view, the first column is a link - either to the rowid
|
|
# or to the simple or compound primary key
|
|
if link_column:
|
|
is_special_link_column = len(pks) != 1
|
|
pk_path = path_from_row_pks(row, pks, not pks, False)
|
|
cells.append(
|
|
{
|
|
"column": pks[0] if len(pks) == 1 else "Link",
|
|
"value_type": "pk",
|
|
"is_special_link_column": is_special_link_column,
|
|
"raw": pk_path,
|
|
"value": markupsafe.Markup(
|
|
'<a href="{table_path}/{flat_pks_quoted}">{flat_pks}</a>'.format(
|
|
base_url=base_url,
|
|
table_path=datasette.urls.table(database_name, table_name),
|
|
flat_pks=str(markupsafe.escape(pk_path)),
|
|
flat_pks_quoted=path_from_row_pks(row, pks, not pks),
|
|
)
|
|
),
|
|
}
|
|
)
|
|
|
|
for value, column_dict in zip(row, columns):
|
|
column = column_dict["name"]
|
|
if link_column and len(pks) == 1 and column == pks[0]:
|
|
# If there's a simple primary key, don't repeat the value as it's
|
|
# already shown in the link column.
|
|
continue
|
|
|
|
# First let the plugins have a go
|
|
# pylint: disable=no-member
|
|
plugin_display_value = None
|
|
for candidate in pm.hook.render_cell(
|
|
row=row,
|
|
value=value,
|
|
column=column,
|
|
table=table_name,
|
|
database=database_name,
|
|
datasette=datasette,
|
|
):
|
|
candidate = await await_me_maybe(candidate)
|
|
if candidate is not None:
|
|
plugin_display_value = candidate
|
|
break
|
|
if plugin_display_value:
|
|
display_value = plugin_display_value
|
|
elif isinstance(value, bytes):
|
|
formatted = format_bytes(len(value))
|
|
display_value = markupsafe.Markup(
|
|
'<a class="blob-download" href="{}"{}><Binary: {:,} byte{}></a>'.format(
|
|
datasette.urls.row_blob(
|
|
database_name,
|
|
table_name,
|
|
path_from_row_pks(row, pks, not pks),
|
|
column,
|
|
),
|
|
' title="{}"'.format(formatted)
|
|
if "bytes" not in formatted
|
|
else "",
|
|
len(value),
|
|
"" if len(value) == 1 else "s",
|
|
)
|
|
)
|
|
elif isinstance(value, dict):
|
|
# It's an expanded foreign key - display link to other row
|
|
label = value["label"]
|
|
value = value["value"]
|
|
# The table we link to depends on the column
|
|
other_table = column_to_foreign_key_table[column]
|
|
link_template = LINK_WITH_LABEL if (label != value) else LINK_WITH_VALUE
|
|
display_value = markupsafe.Markup(
|
|
link_template.format(
|
|
database=database_name,
|
|
base_url=base_url,
|
|
table=tilde_encode(other_table),
|
|
link_id=tilde_encode(str(value)),
|
|
id=str(markupsafe.escape(value)),
|
|
label=str(markupsafe.escape(label)) or "-",
|
|
)
|
|
)
|
|
elif value in ("", None):
|
|
display_value = markupsafe.Markup(" ")
|
|
elif is_url(str(value).strip()):
|
|
display_value = markupsafe.Markup(
|
|
'<a href="{url}">{url}</a>'.format(
|
|
url=markupsafe.escape(value.strip())
|
|
)
|
|
)
|
|
elif column in table_metadata.get("units", {}) and value != "":
|
|
# Interpret units using pint
|
|
value = value * ureg(table_metadata["units"][column])
|
|
# Pint uses floating point which sometimes introduces errors in the compact
|
|
# representation, which we have to round off to avoid ugliness. In the vast
|
|
# majority of cases this rounding will be inconsequential. I hope.
|
|
value = round(value.to_compact(), 6)
|
|
display_value = markupsafe.Markup(f"{value:~P}".replace(" ", " "))
|
|
else:
|
|
display_value = str(value)
|
|
if truncate_cells and len(display_value) > truncate_cells:
|
|
display_value = display_value[:truncate_cells] + "\u2026"
|
|
|
|
cells.append(
|
|
{
|
|
"column": column,
|
|
"value": display_value,
|
|
"raw": value,
|
|
"value_type": "none"
|
|
if value is None
|
|
else str(type(value).__name__),
|
|
}
|
|
)
|
|
cell_rows.append(Row(cells))
|
|
|
|
if link_column:
|
|
# Add the link column header.
|
|
# If it's a simple primary key, we have to remove and re-add that column name at
|
|
# the beginning of the header row.
|
|
first_column = None
|
|
if len(pks) == 1:
|
|
columns = [col for col in columns if col["name"] != pks[0]]
|
|
first_column = {
|
|
"name": pks[0],
|
|
"sortable": len(pks) == 1,
|
|
"is_pk": True,
|
|
"type": column_details[pks[0]].type,
|
|
"notnull": column_details[pks[0]].notnull,
|
|
}
|
|
else:
|
|
first_column = {
|
|
"name": "Link",
|
|
"sortable": False,
|
|
"is_pk": False,
|
|
"type": "",
|
|
"notnull": 0,
|
|
}
|
|
columns = [first_column] + columns
|
|
return columns, cell_rows
|