/
table.py
1758 lines (1572 loc) · 59.7 KB
/
table.py
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import asyncio
import itertools
import json
import urllib
from asyncinject import Registry
import markupsafe
from datasette.plugins import pm
from datasette.database import QueryInterrupted
from datasette import tracer
from datasette.renderer import json_renderer
from datasette.utils import (
add_cors_headers,
await_me_maybe,
call_with_supported_arguments,
CustomRow,
append_querystring,
compound_keys_after_sql,
format_bytes,
tilde_encode,
escape_sqlite,
filters_should_redirect,
format_bytes,
is_url,
path_from_row_pks,
path_with_added_args,
path_with_format,
path_with_removed_args,
path_with_replaced_args,
to_css_class,
truncate_url,
urlsafe_components,
value_as_boolean,
InvalidSql,
sqlite3,
)
from datasette.utils.asgi import BadRequest, Forbidden, NotFound, Response
from datasette.filters import Filters
import sqlite_utils
from .base import BaseView, DataView, DatasetteError, ureg, _error, stream_csv
from .database import QueryView
LINK_WITH_LABEL = (
'<a href="{base_url}{database}/{table}/{link_id}">{label}</a> <em>{id}</em>'
)
LINK_WITH_VALUE = '<a href="{base_url}{database}/{table}/{link_id}">{id}</a>'
class Row:
def __init__(self, cells):
self.cells = cells
def __iter__(self):
return iter(self.cells)
def __getitem__(self, key):
for cell in self.cells:
if cell["column"] == key:
return cell["raw"]
raise KeyError
def display(self, key):
for cell in self.cells:
if cell["column"] == key:
return cell["value"]
return None
def __str__(self):
d = {
key: self[key]
for key in [
c["column"] for c in self.cells if not c.get("is_special_link_column")
]
}
return json.dumps(d, default=repr, indent=2)
async def _gather_parallel(*args):
return await asyncio.gather(*args)
async def _gather_sequential(*args):
results = []
for fn in args:
results.append(await fn)
return results
def _redirect(datasette, request, path, forward_querystring=True, remove_args=None):
if request.query_string and "?" not in path and forward_querystring:
path = f"{path}?{request.query_string}"
if remove_args:
path = path_with_removed_args(request, remove_args, path=path)
r = Response.redirect(path)
r.headers["Link"] = f"<{path}>; rel=preload"
if datasette.cors:
add_cors_headers(r.headers)
return r
async def _redirect_if_needed(datasette, request, resolved):
# Handle ?_filter_column
redirect_params = filters_should_redirect(request.args)
if redirect_params:
return _redirect(
datasette,
request,
datasette.urls.path(path_with_added_args(request, redirect_params)),
forward_querystring=False,
)
# If ?_sort_by_desc=on (from checkbox) redirect to _sort_desc=(_sort)
if "_sort_by_desc" in request.args:
return _redirect(
datasette,
request,
datasette.urls.path(
path_with_added_args(
request,
{
"_sort_desc": request.args.get("_sort"),
"_sort_by_desc": None,
"_sort": None,
},
)
),
forward_querystring=False,
)
async def display_columns_and_rows(
datasette,
database_name,
table_name,
description,
rows,
link_column=False,
truncate_cells=0,
sortable_columns=None,
request=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,
request=request,
):
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}">{truncated_url}</a>'.format(
url=markupsafe.escape(value.strip()),
truncated_url=markupsafe.escape(
truncate_url(value.strip(), truncate_cells)
),
)
)
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
class TableInsertView(BaseView):
name = "table-insert"
def __init__(self, datasette):
self.ds = datasette
async def _validate_data(self, request, db, table_name, pks, upsert):
errors = []
pks_list = []
if isinstance(pks, str):
pks_list = [pks]
else:
pks_list = list(pks)
if not pks_list:
pks_list = ["rowid"]
def _errors(errors):
return None, errors, {}
if request.headers.get("content-type") != "application/json":
# TODO: handle form-encoded data
return _errors(["Invalid content-type, must be application/json"])
body = await request.post_body()
try:
data = json.loads(body)
except json.JSONDecodeError as e:
return _errors(["Invalid JSON: {}".format(e)])
if not isinstance(data, dict):
return _errors(["JSON must be a dictionary"])
keys = data.keys()
# keys must contain "row" or "rows"
if "row" not in keys and "rows" not in keys:
return _errors(['JSON must have one or other of "row" or "rows"'])
rows = []
if "row" in keys:
if "rows" in keys:
return _errors(['Cannot use "row" and "rows" at the same time'])
row = data["row"]
if not isinstance(row, dict):
return _errors(['"row" must be a dictionary'])
rows = [row]
data["return"] = True
else:
rows = data["rows"]
if not isinstance(rows, list):
return _errors(['"rows" must be a list'])
for row in rows:
if not isinstance(row, dict):
return _errors(['"rows" must be a list of dictionaries'])
# Does this exceed max_insert_rows?
max_insert_rows = self.ds.setting("max_insert_rows")
if len(rows) > max_insert_rows:
return _errors(
["Too many rows, maximum allowed is {}".format(max_insert_rows)]
)
# Validate other parameters
extras = {
key: value for key, value in data.items() if key not in ("row", "rows")
}
valid_extras = {"return", "ignore", "replace"}
invalid_extras = extras.keys() - valid_extras
if invalid_extras:
return _errors(
['Invalid parameter: "{}"'.format('", "'.join(sorted(invalid_extras)))]
)
if extras.get("ignore") and extras.get("replace"):
return _errors(['Cannot use "ignore" and "replace" at the same time'])
# Validate columns of each row
columns = set(await db.table_columns(table_name))
columns.update(pks_list)
for i, row in enumerate(rows):
if upsert:
# It MUST have the primary key
missing_pks = [pk for pk in pks_list if pk not in row]
if missing_pks:
errors.append(
'Row {} is missing primary key column(s): "{}"'.format(
i, '", "'.join(missing_pks)
)
)
invalid_columns = set(row.keys()) - columns
if invalid_columns:
errors.append(
"Row {} has invalid columns: {}".format(
i, ", ".join(sorted(invalid_columns))
)
)
if errors:
return _errors(errors)
return rows, errors, extras
async def post(self, request, upsert=False):
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 (may handle table creation in the future)
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 upsert:
# Must have insert-row AND upsert-row permissions
if not (
await self.ds.permission_allowed(
request.actor, "insert-row", database_name, table_name
)
and await self.ds.permission_allowed(
request.actor, "update-row", database_name, table_name
)
):
return _error(
["Permission denied: need both insert-row and update-row"], 403
)
else:
# Must have insert-row permission
if not await self.ds.permission_allowed(
request.actor, "insert-row", resource=(database_name, table_name)
):
return _error(["Permission denied"], 403)
if not db.is_mutable:
return _error(["Database is immutable"], 403)
pks = await db.primary_keys(table_name)
rows, errors, extras = await self._validate_data(
request, db, table_name, pks, upsert
)
if errors:
return _error(errors, 400)
# No that we've passed pks to _validate_data it's safe to
# fix the rowids case:
if not pks:
pks = ["rowid"]
ignore = extras.get("ignore")
replace = extras.get("replace")
if upsert and (ignore or replace):
return _error(["Upsert does not support ignore or replace"], 400)
should_return = bool(extras.get("return", False))
row_pk_values_for_later = []
if should_return and upsert:
row_pk_values_for_later = [tuple(row[pk] for pk in pks) for row in rows]
def insert_or_upsert_rows(conn):
table = sqlite_utils.Database(conn)[table_name]
kwargs = {}
if upsert:
kwargs["pk"] = pks[0] if len(pks) == 1 else pks
else:
kwargs = {"ignore": ignore, "replace": replace}
if should_return and not upsert:
rowids = []
method = table.upsert if upsert else table.insert
for row in rows:
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
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)
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
class CannedQueryView(DataView):
def __init__(self, datasette):
self.ds = datasette
async def post(self, request):
from datasette.app import TableNotFound
try:
await self.ds.resolve_table(request)
except TableNotFound as e:
# Was this actually a canned query?
canned_query = await self.ds.get_canned_query(
e.database_name, e.table, request.actor
)
if canned_query:
# Handle POST to a canned query
return await QueryView(self.ds).data(
request,
canned_query["sql"],
metadata=canned_query,
editable=False,
canned_query=e.table,
named_parameters=canned_query.get("params"),
write=bool(canned_query.get("write")),
)
return Response.text("Method not allowed", status=405)
async def data(self, request, **kwargs):
from datasette.app import TableNotFound
try:
await self.ds.resolve_table(request)
except TableNotFound as not_found:
canned_query = await self.ds.get_canned_query(
not_found.database_name, not_found.table, request.actor
)
if canned_query:
return await QueryView(self.ds).data(
request,
canned_query["sql"],
metadata=canned_query,
editable=False,
canned_query=not_found.table,
named_parameters=canned_query.get("params"),
write=bool(canned_query.get("write")),
)
else:
raise
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:
if request.method == "POST":
return await CannedQueryView(datasette).post(request)
else:
return await CannedQueryView(datasette).get(request)
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",
# 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",
]
template = datasette.jinja_env.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
],
),
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,