Esempio n. 1
0
def test_call_with_supported_arguments():
    def foo(a, b):
        return "{}+{}".format(a, b)

    assert "1+2" == utils.call_with_supported_arguments(foo, a=1, b=2)
    assert "1+2" == utils.call_with_supported_arguments(foo, a=1, b=2, c=3)

    with pytest.raises(TypeError):
        utils.call_with_supported_arguments(foo, a=1)
Esempio n. 2
0
    async def view_get(self, request, database, hash, correct_hash_provided,
                       **kwargs):
        _format, kwargs = await self.get_format(request, database, kwargs)

        if _format == "csv":
            return await self.as_csv(request, database, hash, **kwargs)

        if _format is None:
            # HTML views default to expanding all foreign 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, database, hash, **kwargs)
            if isinstance(response_or_template_contexts, Response):
                return response_or_template_contexts

            else:
                data, extra_template_data, templates = response_or_template_contexts
        except QueryInterrupted:
            raise DatasetteError(
                """
                SQL query took too long. The time limit is controlled by the
                <a href="https://docs.datasette.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(key)
            if value:
                data[key] = value

        # 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,
            )

        if _format in self.ds.renderers.keys():
            # Dispatch request to the correct output format renderer
            # (CSV is not handled here due to streaming)
            result = call_with_supported_arguments(
                self.ds.renderers[_format][0],
                datasette=self.ds,
                columns=data.get("columns") or [],
                rows=data.get("rows") or [],
                sql=data.get("query", {}).get("sql", None),
                query_name=data.get("query_name"),
                database=database,
                table=data.get("table"),
                request=request,
                view_name=self.name,
                # 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", 200),
                    content_type=result.get("content_type", "text/plain"),
                    headers=result.get("headers"),
                )
            elif isinstance(result, Response):
                r = result
            else:
                assert False, "{} should be dict or Response".format(result)
        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"}

            renderers = {}
            for key, (_, can_render) in self.ds.renderers.items():
                it_can_render = call_with_supported_arguments(
                    can_render,
                    datasette=self.ds,
                    columns=data.get("columns") or [],
                    rows=data.get("rows") or [],
                    sql=data.get("query", {}).get("sql", None),
                    query_name=data.get("query_name"),
                    database=database,
                    table=data.get("table"),
                    request=request,
                    view_name=self.name,
                )
                it_can_render = await await_me_maybe(it_can_render)
                if it_can_render:
                    renderers[key] = path_with_format(request, key,
                                                      {**url_labels_extra})

            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,
                **{
                    "renderers":
                    renderers,
                    "url_csv":
                    url_csv,
                    "url_csv_path":
                    url_csv_path,
                    "url_csv_hidden_args": [(key, value) for key, value in urllib.parse.parse_qsl(request.query_string) if key not in ("_labels", "_facet", "_size")] + [("_size", "max")],
                    "datasette_version":
                    __version__,
                    "config":
                    self.ds.config_dict(),
                },
            }
            if "metadata" not in context:
                context["metadata"] = self.ds.metadata
            r = await self.render(templates, request=request, context=context)
            r.status = status_code

        ttl = request.args.get("_ttl", None)
        if ttl is None or not ttl.isdigit():
            if correct_hash_provided:
                ttl = self.ds.config("default_cache_ttl_hashed")
            else:
                ttl = self.ds.config("default_cache_ttl")

        return self.set_response_headers(r, ttl)