async def data(self, request, name, hash, table, default_labels=False, _next=None, _size=None):
canned_query = self.ds.get_canned_query(name, table)
if canned_query is not None:
return await self.custom_sql(
request,
name,
hash,
canned_query["sql"],
editable=False,
canned_query=table,
)
is_view = bool(await self.ds.get_view_definition(name, table))
info = self.ds.inspect()
table_info = info[name]["tables"].get(table) or {}
if not is_view and not table_info:
raise NotFound("Table not found: {}".format(table))
pks = table_info.get("primary_keys") or []
use_rowid = not pks and not is_view
if use_rowid:
select = "rowid, *"
order_by = "rowid"
order_by_pks = "rowid"
else:
select = "*"
order_by_pks = ", ".join([escape_sqlite(pk) for pk in pks])
order_by = order_by_pks
if is_view:
order_by = ""
# We roll our own query_string decoder because by default Sanic
# drops anything with an empty value e.g. ?name__exact=
args = RequestParameters(
urllib.parse.parse_qs(request.query_string, keep_blank_values=True)
)
# Special args start with _ and do not contain a __
# That's so if there is a column that starts with _
# it can still be queried using ?_col__exact=blah
special_args = {}
special_args_lists = {}
other_args = {}
for key, value in args.items():
if key.startswith("_") and "__" not in key:
special_args[key] = value[0]
special_args_lists[key] = value
else:
other_args[key] = value[0]
# Handle ?_filter_column and redirect, if present
redirect_params = filters_should_redirect(special_args)
if redirect_params:
return self.redirect(
request,
path_with_added_args(request, redirect_params),
forward_querystring=False,
)
# Spot ?_sort_by_desc and redirect to _sort_desc=(_sort)
if "_sort_by_desc" in special_args:
return self.redirect(
request,
path_with_added_args(
request,
{
"_sort_desc": special_args.get("_sort"),
"_sort_by_desc": None,
"_sort": None,
},
),
forward_querystring=False,
)
table_metadata = self.table_metadata(name, table)
units = table_metadata.get("units", {})
filters = Filters(sorted(other_args.items()), units, ureg)
where_clauses, params = filters.build_where_clauses()
# _search support:
fts_table = info[name]["tables"].get(table, {}).get("fts_table")
search_args = dict(
pair for pair in special_args.items() if pair[0].startswith("_search")
)
search_descriptions = []
search = ""
if fts_table and search_args:
if "_search" in search_args:
# Simple ?_search=xxx
search = search_args["_search"]
where_clauses.append(
"rowid in (select rowid from {fts_table} where {fts_table} match :search)".format(
fts_table=escape_sqlite(fts_table),
)
)
search_descriptions.append('search matches "{}"'.format(search))
params["search"] = search
else:
# More complex: search against specific columns
valid_columns = set(info[name]["tables"][fts_table]["columns"])
for i, (key, search_text) in enumerate(search_args.items()):
search_col = key.split("_search_", 1)[1]
if search_col not in valid_columns:
raise DatasetteError("Cannot search by that column", status=400)
where_clauses.append(
"rowid in (select rowid from {fts_table} where {search_col} match :search_{i})".format(
fts_table=escape_sqlite(fts_table),
search_col=escape_sqlite(search_col),
i=i
)
)
search_descriptions.append(
'search column "{}" matches "{}"'.format(
search_col, search_text
)
)
params["search_{}".format(i)] = search_text
table_rows_count = None
sortable_columns = set()
if not is_view:
table_rows_count = table_info["count"]
sortable_columns = self.sortable_columns_for_table(name, table, use_rowid)
# Allow for custom sort order
sort = special_args.get("_sort")
if sort:
if sort not in sortable_columns:
raise DatasetteError("Cannot sort table by {}".format(sort))
order_by = escape_sqlite(sort)
sort_desc = special_args.get("_sort_desc")
if sort_desc:
if sort_desc not in sortable_columns:
raise DatasetteError("Cannot sort table by {}".format(sort_desc))
if sort:
raise DatasetteError("Cannot use _sort and _sort_desc at the same time")
order_by = "{} desc".format(escape_sqlite(sort_desc))
from_sql = "from {table_name} {where}".format(
table_name=escape_sqlite(table),
where=(
"where {} ".format(" and ".join(where_clauses))
) if where_clauses else "",
)
# Store current params and where_clauses for later:
from_sql_params = dict(**params)
from_sql_where_clauses = where_clauses[:]
count_sql = "select count(*) {}".format(from_sql)
_next = _next or special_args.get("_next")
offset = ""
if _next:
if is_view:
# _next is an offset
offset = " offset {}".format(int(_next))
else:
components = urlsafe_components(_next)
# If a sort order is applied, the first of these is the sort value
if sort or sort_desc:
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("rowid > :p{}".format(len(params)))
params["p{}".format(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["p{}".format(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["p{}".format(len(params))] = sort_value
order_by = "{}, {}".format(order_by, order_by_pks)
else:
where_clauses.extend(next_by_pk_clauses)
where_clause = ""
if where_clauses:
where_clause = "where {} ".format(" and ".join(where_clauses))
if order_by:
order_by = "order by {} ".format(order_by)
# _group_count=col1&_group_count=col2
group_count = special_args_lists.get("_group_count") or []
if group_count:
sql = 'select {group_cols}, count(*) as "count" from {table_name} {where} group by {group_cols} order by "count" desc limit 100'.format(
group_cols=", ".join(
'"{}"'.format(group_count_col) for group_count_col in group_count
),
table_name=escape_sqlite(table),
where=where_clause,
)
return await self.custom_sql(request, name, hash, sql, editable=True)
extra_args = {}
# Handle ?_size=500
page_size = _size or request.raw_args.get("_size")
if page_size:
if page_size == "max":
page_size = self.max_returned_rows
try:
page_size = int(page_size)
if page_size < 0:
raise ValueError
except ValueError:
raise DatasetteError("_size must be a positive integer", status=400)
if page_size > self.max_returned_rows:
raise DatasetteError(
"_size must be <= {}".format(self.max_returned_rows), status=400
)
extra_args["page_size"] = page_size
else:
page_size = self.page_size
sql = "select {select} from {table_name} {where}{order_by}limit {limit}{offset}".format(
select=select,
table_name=escape_sqlite(table),
where=where_clause,
order_by=order_by,
limit=page_size + 1,
offset=offset,
)
if request.raw_args.get("_timelimit"):
extra_args["custom_time_limit"] = int(request.raw_args["_timelimit"])
results = await self.ds.execute(
name, sql, params, truncate=True, **extra_args
)
# facets support
facet_size = self.ds.config["default_facet_size"]
metadata_facets = table_metadata.get("facets", [])
facets = metadata_facets[:]
if request.args.get("_facet") and not self.ds.config["allow_facet"]:
raise DatasetteError("_facet= is not allowed", status=400)
try:
facets.extend(request.args["_facet"])
except KeyError:
pass
facet_results = {}
facets_timed_out = []
for column in facets:
if _next:
continue
facet_sql = """
select {col} as value, count(*) as count
{from_sql} {and_or_where} {col} is not null
group by {col} order by count desc limit {limit}
""".format(
col=escape_sqlite(column),
from_sql=from_sql,
and_or_where='and' if from_sql_where_clauses else 'where',
limit=facet_size+1,
)
try:
facet_rows_results = await self.ds.execute(
name, facet_sql, params,
truncate=False,
custom_time_limit=self.ds.config["facet_time_limit_ms"],
)
facet_results_values = []
facet_results[column] = {
"name": column,
"results": facet_results_values,
"truncated": len(facet_rows_results) > facet_size,
}
facet_rows = facet_rows_results.rows[:facet_size]
# Attempt to expand foreign keys into labels
values = [row["value"] for row in facet_rows]
expanded = (await self.expand_foreign_keys(
name, table, column, values
))
for row in facet_rows:
selected = str(other_args.get(column)) == str(row["value"])
if selected:
toggle_path = path_with_removed_args(
request, {column: str(row["value"])}
)
else:
toggle_path = path_with_added_args(
request, {column: row["value"]}
)
facet_results_values.append({
"value": row["value"],
"label": expanded.get(
(column, row["value"]),
row["value"]
),
"count": row["count"],
"toggle_url": urllib.parse.urljoin(
request.url, toggle_path
),
"selected": selected,
})
except InterruptedError:
facets_timed_out.append(column)
columns = [r[0] for r in results.description]
rows = list(results.rows)
filter_columns = columns[:]
if use_rowid and filter_columns[0] == "rowid":
filter_columns = filter_columns[1:]
# Expand labeled columns if requested
expanded_columns = []
expandable_columns = self.expandable_columns(name, table)
columns_to_expand = None
try:
all_labels = value_as_boolean(special_args.get("_labels", ""))
except ValueError:
all_labels = default_labels
# Check for explicit _label=
if "_label" in request.args:
columns_to_expand = request.args["_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, label_column in expandable_columns:
column = fk["column"]
if column not in columns_to_expand:
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.expand_foreign_keys(
name, table, 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:
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 len(rows) > page_size and page_size > 0:
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 prefix is None:
prefix = "$null"
else:
prefix = urllib.parse.quote_plus(str(prefix))
next_value = "{},{}".format(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 = urllib.parse.urljoin(
request.url, path_with_replaced_args(request, added_args)
)
rows = rows[:page_size]
# Number of filtered rows in whole set:
filtered_table_rows_count = None
if count_sql:
try:
count_rows = list(await self.ds.execute(
name, count_sql, from_sql_params
))
filtered_table_rows_count = count_rows[0][0]
except InterruptedError:
pass
# Detect suggested facets
suggested_facets = []
if self.ds.config["suggest_facets"] and self.ds.config["allow_facet"]:
for facet_column in columns:
if facet_column in facets:
continue
if _next:
continue
if not self.ds.config["suggest_facets"]:
continue
suggested_facet_sql = '''
select distinct {column} {from_sql}
{and_or_where} {column} is not null
limit {limit}
'''.format(
column=escape_sqlite(facet_column),
from_sql=from_sql,
and_or_where='and' if from_sql_where_clauses else 'where',
limit=facet_size+1
)
distinct_values = None
try:
distinct_values = await self.ds.execute(
name, suggested_facet_sql, from_sql_params,
truncate=False,
custom_time_limit=self.ds.config["facet_suggest_time_limit_ms"],
)
num_distinct_values = len(distinct_values)
if (
num_distinct_values and
num_distinct_values > 1 and
num_distinct_values <= facet_size and
num_distinct_values < filtered_table_rows_count
):
suggested_facets.append({
'name': facet_column,
'toggle_url': path_with_added_args(
request, {'_facet': facet_column}
),
})
except InterruptedError:
pass
# human_description_en combines filters AND search, if provided
human_description_en = filters.human_description_en(extra=search_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():
display_columns, display_rows = await self.display_columns_and_rows(
name,
table,
results.description,
rows,
link_column=not is_view,
)
metadata = self.ds.metadata.get("databases", {}).get(name, {}).get(
"tables", {}
).get(
table, {}
)
self.ds.update_with_inherited_metadata(metadata)
return {
"database_hash": hash,
"supports_search": bool(fts_table),
"search": search or "",
"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
),
"facet_hideable": lambda facet: facet not in metadata_facets,
"is_sortable": any(c["sortable"] for c in display_columns),
"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_rows_and_columns_templates": [
"_rows_and_columns-{}-{}.html".format(
to_css_class(name), to_css_class(table)
),
"_rows_and_columns-table-{}-{}.html".format(
to_css_class(name), to_css_class(table)
),
"_rows_and_columns.html",
],
"metadata": metadata,
"view_definition": await self.ds.get_view_definition(name, table),
"table_definition": await self.ds.get_table_definition(name, table),
}
return {
"database": name,
"table": table,
"is_view": is_view,
"human_description_en": human_description_en,
"rows": rows[:page_size],
"truncated": results.truncated,
"table_rows_count": table_rows_count,
"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,
}, extra_template, (
"table-{}-{}.html".format(to_css_class(name), to_css_class(table)),
"table.html",
)
async def data(self, request, name, hash, table):
table = urllib.parse.unquote_plus(table)
canned_query = self.ds.get_canned_query(name, table)
if canned_query is not None:
return await self.custom_sql(
request,
name,
hash,
canned_query["sql"],
editable=False,
canned_query=table,
)
is_view = bool(
list(await self.execute(
name,
"SELECT count(*) from sqlite_master WHERE type = 'view' and name=:n",
{"n": table},
))[0][0])
view_definition = None
table_definition = None
if is_view:
view_definition = list(await self.execute(
name,
'select sql from sqlite_master where name = :n and type="view"',
{"n": table},
))[0][0]
else:
table_definition_rows = list(await self.execute(
name,
'select sql from sqlite_master where name = :n and type="table"',
{"n": table},
))
if not table_definition_rows:
raise NotFound("Table not found: {}".format(table))
table_definition = table_definition_rows[0][0]
info = self.ds.inspect()
table_info = info[name]["tables"].get(table) or {}
pks = table_info.get("primary_keys") or []
use_rowid = not pks and not is_view
if use_rowid:
select = "rowid, *"
order_by = "rowid"
order_by_pks = "rowid"
else:
select = "*"
order_by_pks = ", ".join([escape_sqlite(pk) for pk in pks])
order_by = order_by_pks
if is_view:
order_by = ""
# We roll our own query_string decoder because by default Sanic
# drops anything with an empty value e.g. ?name__exact=
args = RequestParameters(
urllib.parse.parse_qs(request.query_string,
keep_blank_values=True))
# Special args start with _ and do not contain a __
# That's so if there is a column that starts with _
# it can still be queried using ?_col__exact=blah
special_args = {}
special_args_lists = {}
other_args = {}
for key, value in args.items():
if key.startswith("_") and "__" not in key:
special_args[key] = value[0]
special_args_lists[key] = value
else:
other_args[key] = value[0]
# Handle ?_filter_column and redirect, if present
redirect_params = filters_should_redirect(special_args)
if redirect_params:
return self.redirect(
request,
path_with_added_args(request, redirect_params),
forward_querystring=False,
)
# Spot ?_sort_by_desc and redirect to _sort_desc=(_sort)
if "_sort_by_desc" in special_args:
return self.redirect(
request,
path_with_added_args(
request,
{
"_sort_desc": special_args.get("_sort"),
"_sort_by_desc": None,
"_sort": None,
},
),
forward_querystring=False,
)
table_metadata = self.table_metadata(name, table)
units = table_metadata.get("units", {})
filters = Filters(sorted(other_args.items()), units, ureg)
where_clauses, params = filters.build_where_clauses()
# _search support:
fts_table = info[name]["tables"].get(table, {}).get("fts_table")
search_args = dict(pair for pair in special_args.items()
if pair[0].startswith("_search"))
search_descriptions = []
search = ""
if fts_table and search_args:
if "_search" in search_args:
# Simple ?_search=xxx
search = search_args["_search"]
where_clauses.append(
"rowid in (select rowid from [{fts_table}] where [{fts_table}] match :search)"
.format(fts_table=fts_table))
search_descriptions.append(
'search matches "{}"'.format(search))
params["search"] = search
else:
# More complex: search against specific columns
valid_columns = set(info[name]["tables"][fts_table]["columns"])
for i, (key, search_text) in enumerate(search_args.items()):
search_col = key.split("_search_", 1)[1]
if search_col not in valid_columns:
raise DatasetteError("Cannot search by that column",
status=400)
where_clauses.append(
"rowid in (select rowid from [{fts_table}] where [{search_col}] match :search_{i})"
.format(fts_table=fts_table,
search_col=search_col,
i=i))
search_descriptions.append(
'search column "{}" matches "{}"'.format(
search_col, search_text))
params["search_{}".format(i)] = search_text
table_rows_count = None
sortable_columns = set()
if not is_view:
table_rows_count = table_info["count"]
sortable_columns = self.sortable_columns_for_table(
name, table, use_rowid)
# Allow for custom sort order
sort = special_args.get("_sort")
if sort:
if sort not in sortable_columns:
raise DatasetteError("Cannot sort table by {}".format(sort))
order_by = escape_sqlite(sort)
sort_desc = special_args.get("_sort_desc")
if sort_desc:
if sort_desc not in sortable_columns:
raise DatasetteError(
"Cannot sort table by {}".format(sort_desc))
if sort:
raise DatasetteError(
"Cannot use _sort and _sort_desc at the same time")
order_by = "{} desc".format(escape_sqlite(sort_desc))
from_sql = "from {table_name} {where}".format(
table_name=escape_sqlite(table),
where=("where {} ".format(" and ".join(where_clauses)))
if where_clauses else "",
)
count_sql = "select count(*) {}".format(from_sql)
_next = special_args.get("_next")
offset = ""
if _next:
if is_view:
# _next is an offset
offset = " offset {}".format(int(_next))
else:
components = urlsafe_components(_next)
# If a sort order is applied, the first of these is the sort value
if sort or sort_desc:
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("rowid > :p{}".format(
len(params)))
params["p{}".format(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["p{}".format(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["p{}".format(len(params))] = sort_value
order_by = "{}, {}".format(order_by, order_by_pks)
else:
where_clauses.extend(next_by_pk_clauses)
where_clause = ""
if where_clauses:
where_clause = "where {} ".format(" and ".join(where_clauses))
if order_by:
order_by = "order by {} ".format(order_by)
# _group_count=col1&_group_count=col2
group_count = special_args_lists.get("_group_count") or []
if group_count:
sql = 'select {group_cols}, count(*) as "count" from {table_name} {where} group by {group_cols} order by "count" desc limit 100'.format(
group_cols=", ".join('"{}"'.format(group_count_col)
for group_count_col in group_count),
table_name=escape_sqlite(table),
where=where_clause,
)
return await self.custom_sql(request,
name,
hash,
sql,
editable=True)
extra_args = {}
# Handle ?_page_size=500
page_size = request.raw_args.get("_size")
if page_size:
if page_size == "max":
page_size = self.max_returned_rows
try:
page_size = int(page_size)
if page_size < 0:
raise ValueError
except ValueError:
raise DatasetteError("_size must be a positive integer",
status=400)
if page_size > self.max_returned_rows:
raise DatasetteError("_size must be <= {}".format(
self.max_returned_rows),
status=400)
extra_args["page_size"] = page_size
else:
page_size = self.page_size
sql = "select {select} from {table_name} {where}{order_by}limit {limit}{offset}".format(
select=select,
table_name=escape_sqlite(table),
where=where_clause,
order_by=order_by,
limit=page_size + 1,
offset=offset,
)
if request.raw_args.get("_timelimit"):
extra_args["custom_time_limit"] = int(
request.raw_args["_timelimit"])
rows, truncated, description = await self.execute(name,
sql,
params,
truncate=True,
**extra_args)
# facets support
try:
facets = request.args["_facet"]
except KeyError:
facets = table_metadata.get("facets", [])
facet_results = {}
for column in facets:
facet_sql = """
select {col} as value, count(*) as count
{from_sql}
group by {col} order by count desc limit 20
""".format(col=escape_sqlite(column), from_sql=from_sql)
try:
facet_rows = await self.execute(name,
facet_sql,
params,
truncate=False,
custom_time_limit=200)
facet_results[column] = [{
"value":
row["value"],
"count":
row["count"],
"toggle_url":
urllib.parse.urljoin(
request.url,
path_with_added_args(request, {column: row["value"]}),
),
} for row in facet_rows]
except sqlite3.OperationalError:
# Hit time limit
pass
columns = [r[0] for r in description]
rows = list(rows)
filter_columns = columns[:]
if use_rowid and filter_columns[0] == "rowid":
filter_columns = filter_columns[1:]
# Pagination next link
next_value = None
next_url = None
if len(rows) > page_size and page_size > 0:
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 prefix is None:
prefix = "$null"
else:
prefix = urllib.parse.quote_plus(str(prefix))
next_value = "{},{}".format(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 = urllib.parse.urljoin(
request.url, path_with_added_args(request, added_args))
rows = rows[:page_size]
# Number of filtered rows in whole set:
filtered_table_rows_count = None
if count_sql:
try:
count_rows = list(await self.execute(name, count_sql, params))
filtered_table_rows_count = count_rows[0][0]
except sqlite3.OperationalError:
# Almost certainly hit the timeout
pass
# human_description_en combines filters AND search, if provided
human_description_en = filters.human_description_en(
extra=search_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():
display_columns, display_rows = await self.display_columns_and_rows(
name,
table,
description,
rows,
link_column=not is_view,
expand_foreign_keys=True,
)
metadata = self.ds.metadata.get("databases",
{}).get(name,
{}).get("tables",
{}).get(table, {})
self.ds.update_with_inherited_metadata(metadata)
return {
"database_hash":
hash,
"supports_search":
bool(fts_table),
"search":
search or "",
"use_rowid":
use_rowid,
"filters":
filters,
"display_columns":
display_columns,
"filter_columns":
filter_columns,
"display_rows":
display_rows,
"is_sortable":
any(c["sortable"] for c in display_columns),
"path_with_added_args":
path_with_added_args,
"request":
request,
"sort":
sort,
"sort_desc":
sort_desc,
"disable_sort":
is_view,
"custom_rows_and_columns_templates": [
"_rows_and_columns-{}-{}.html".format(
to_css_class(name), to_css_class(table)),
"_rows_and_columns-table-{}-{}.html".format(
to_css_class(name), to_css_class(table)),
"_rows_and_columns.html",
],
"metadata":
metadata,
}
return {
"database": name,
"table": table,
"is_view": is_view,
"view_definition": view_definition,
"table_definition": table_definition,
"human_description_en": human_description_en,
"rows": rows[:page_size],
"truncated": truncated,
"table_rows_count": table_rows_count,
"filtered_table_rows_count": filtered_table_rows_count,
"columns": columns,
"primary_keys": pks,
"units": units,
"query": {
"sql": sql,
"params": params
},
"facet_results": facet_results,
"next": next_value and str(next_value) or None,
"next_url": next_url,
}, extra_template, (
"table-{}-{}.html".format(to_css_class(name), to_css_class(table)),
"table.html",
)