def json_renderer(args, data, view_name):
""" Render a response as JSON """
status_code = 200
# Handle the _json= parameter which may modify data["rows"]
json_cols = []
if "_json" in args:
json_cols = args.getlist("_json")
if json_cols and "rows" in data and "columns" in data:
data["rows"] = convert_specific_columns_to_json(
data["rows"], data["columns"], json_cols)
# unless _json_infinity=1 requested, replace infinity with None
if "rows" in data and not value_as_boolean(args.get("_json_infinity",
"0")):
data["rows"] = [remove_infinites(row) for row in data["rows"]]
# Deal with the _shape option
shape = args.get("_shape", "arrays")
next_url = data.get("next_url")
if shape == "arrayfirst":
data = [row[0] for row in data["rows"]]
elif shape in ("objects", "object", "array"):
columns = data.get("columns")
rows = data.get("rows")
if rows and columns:
data["rows"] = [dict(zip(columns, row)) for row in rows]
if shape == "object":
error = None
if "primary_keys" not in data:
error = "_shape=object is only available on tables"
else:
pks = data["primary_keys"]
if not pks:
error = (
"_shape=object not available for tables with no primary keys"
)
else:
object_rows = {}
for row in data["rows"]:
pk_string = path_from_row_pks(row, pks, not pks)
object_rows[pk_string] = row
data = object_rows
if error:
data = {"ok": False, "error": error}
elif shape == "array":
data = data["rows"]
elif shape == "arrays":
pass
else:
status_code = 400
data = {
"ok": False,
"error": f"Invalid _shape: {shape}",
"status": 400,
"title": None,
}
# Handle _nl option for _shape=array
nl = args.get("_nl", "")
if nl and shape == "array":
body = "\n".join(
json.dumps(item, cls=CustomJSONEncoder) for item in data)
content_type = "text/plain"
else:
body = json.dumps(data, cls=CustomJSONEncoder)
content_type = "application/json; charset=utf-8"
headers = {}
if next_url:
headers["link"] = f'<{next_url}>; rel="next"'
return Response(body,
status=status_code,
headers=headers,
content_type=content_type)
async def view_get(self, request, name, hash, **kwargs):
# If ?_format= is provided, use that as the format
_format = request.args.get("_format", None)
if not _format:
_format = (kwargs.pop("as_format", None) or "").lstrip(".")
if "table_and_format" in kwargs:
table, _ext_format = resolve_table_and_format(
table_and_format=urllib.parse.unquote_plus(
kwargs["table_and_format"]),
table_exists=lambda t: self.ds.table_exists(name, t))
_format = _format or _ext_format
kwargs["table"] = table
del kwargs["table_and_format"]
elif "table" in kwargs:
kwargs["table"] = urllib.parse.unquote_plus(kwargs["table"])
if _format == "csv":
return await self.as_csv(request, name, hash, **kwargs)
if _format is None:
# HTML views default to expanding all forign key labels
kwargs['default_labels'] = True
extra_template_data = {}
start = time.time()
status_code = 200
templates = []
try:
response_or_template_contexts = await self.data(
request, name, hash, **kwargs)
if isinstance(response_or_template_contexts,
response.HTTPResponse):
return response_or_template_contexts
else:
data, extra_template_data, templates = response_or_template_contexts
except InterruptedError as e:
raise DatasetteError("""
SQL query took too long. The time limit is controlled by the
<a href="https://datasette.readthedocs.io/en/stable/config.html#sql-time-limit-ms">sql_time_limit_ms</a>
configuration option.
""",
title="SQL Interrupted",
status=400,
messagge_is_html=True)
except (sqlite3.OperationalError, InvalidSql) as e:
raise DatasetteError(str(e), title="Invalid SQL", status=400)
except (sqlite3.OperationalError) as e:
raise DatasetteError(str(e))
except DatasetteError:
raise
end = time.time()
data["query_ms"] = (end - start) * 1000
for key in ("source", "source_url", "license", "license_url"):
value = self.ds.metadata.get(key)
if value:
data[key] = value
if _format in ("json", "jsono"):
# Special case for .jsono extension - redirect to _shape=objects
if _format == "jsono":
return self.redirect(
request,
path_with_added_args(
request,
{"_shape": "objects"},
path=request.path.rsplit(".jsono", 1)[0] + ".json",
),
forward_querystring=False,
)
# Handle the _json= parameter which may modify data["rows"]
json_cols = []
if "_json" in request.args:
json_cols = request.args["_json"]
if json_cols and "rows" in data and "columns" in data:
data["rows"] = convert_specific_columns_to_json(
data["rows"],
data["columns"],
json_cols,
)
# unless _json_infinity=1 requested, replace infinity with None
if "rows" in data and not value_as_boolean(
request.args.get("_json_infinity", "0")):
data["rows"] = [remove_infinites(row) for row in data["rows"]]
# Deal with the _shape option
shape = request.args.get("_shape", "arrays")
if shape == "arrayfirst":
data = [row[0] for row in data["rows"]]
elif shape in ("objects", "object", "array"):
columns = data.get("columns")
rows = data.get("rows")
if rows and columns:
data["rows"] = [dict(zip(columns, row)) for row in rows]
if shape == "object":
error = None
if "primary_keys" not in data:
error = "_shape=object is only available on tables"
else:
pks = data["primary_keys"]
if not pks:
error = "_shape=object not available for tables with no primary keys"
else:
object_rows = {}
for row in data["rows"]:
pk_string = path_from_row_pks(
row, pks, not pks)
object_rows[pk_string] = row
data = object_rows
if error:
data = {
"ok": False,
"error": error,
"database": name,
"database_hash": hash,
}
elif shape == "array":
data = data["rows"]
elif shape == "arrays":
pass
else:
status_code = 400
data = {
"ok": False,
"error": "Invalid _shape: {}".format(shape),
"status": 400,
"title": None,
}
headers = {}
if self.ds.cors:
headers["Access-Control-Allow-Origin"] = "*"
r = response.HTTPResponse(
json.dumps(data, cls=CustomJSONEncoder),
status=status_code,
content_type="application/json",
headers=headers,
)
else:
extras = {}
if callable(extra_template_data):
extras = extra_template_data()
if asyncio.iscoroutine(extras):
extras = await extras
else:
extras = extra_template_data
url_labels_extra = {}
if data.get("expandable_columns"):
url_labels_extra = {"_labels": "on"}
url_csv_args = {"_size": "max", **url_labels_extra}
url_csv = path_with_format(request, "csv", url_csv_args)
url_csv_path = url_csv.split('?')[0]
context = {
**data,
**extras,
**{
"url_json":
path_with_format(request, "json", {
**url_labels_extra,
}),
"url_csv":
url_csv,
"url_csv_path":
url_csv_path,
"url_csv_args":
url_csv_args,
"extra_css_urls":
self.ds.extra_css_urls(),
"extra_js_urls":
self.ds.extra_js_urls(),
"datasette_version":
__version__,
"config":
self.ds.config_dict(),
}
}
if "metadata" not in context:
context["metadata"] = self.ds.metadata
r = self.render(templates, **context)
r.status = status_code
# Set far-future cache expiry
if self.ds.cache_headers:
ttl = request.args.get("_ttl", None)
if ttl is None or not ttl.isdigit():
ttl = self.ds.config("default_cache_ttl")
else:
ttl = int(ttl)
if ttl == 0:
ttl_header = 'no-cache'
else:
ttl_header = 'max-age={}'.format(ttl)
r.headers["Cache-Control"] = ttl_header
r.headers["Referrer-Policy"] = "no-referrer"
return r
