datasette/tests/utils.py

class MockRequest:
    def __init__(self, url):
        self.url = url
        self.path = "/" + url.split("://")[1].split("/", 1)[1]
        self.query_string = ""
        if "?" in url:
            self.query_string = url.split("?", 1)[1]
            self.path = self.path.split("?")[0]
Extract facet code out into a new plugin hook, closes #427 (#445) Datasette previously only supported one type of faceting: exact column value counting. With this change, faceting logic is extracted out into one or more separate classes which can implement other patterns of faceting - this is discussed in #427, but potential upcoming facet types include facet-by-date, facet-by-JSON-array, facet-by-many-2-many and more. A new plugin hook, register_facet_classes, can be used by plugins to add in additional facet classes. Each class must implement two methods: suggest(), which scans columns in the table to decide if they might be worth suggesting for faceting, and facet_results(), which executes the facet operation and returns results ready to be displayed in the UI. 2019-05-03 00:11:26 +00:00			`class MockRequest:`
			`def __init__(self, url):`
			`self.url = url`
			`self.path = "/" + url.split("://")[1].split("/", 1)[1]`
			`self.query_string = ""`
			`if "?" in url:`
			`self.query_string = url.split("?", 1)[1]`
			`self.path = self.path.split("?")[0]`