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Merge pull request #19 from feep/ca-parks-starlark
Changes for second CA Parks data story.
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load("http.star", "http") | ||
load("encoding/csv.star", "csv") | ||
load("encoding/json.star", "json") | ||
load("re.star", "re") | ||
load("bsoup.star", "bsoup") | ||
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def download(ctx): | ||
parkindex = http.get("https://www.parks.ca.gov/parkindex") | ||
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# local, for testing | ||
# res = http.get("http://localhost:8000/parkindex") | ||
return res.body() | ||
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# starlark dict order is non-deterministic(?) | ||
# docs say it is deterministic | ||
keyorderunlabled = [ | ||
"long_name", | ||
"type_desc", | ||
"District", | ||
"County", | ||
"Region", | ||
"Latitude", | ||
"Longitude", | ||
"page_id", | ||
"lvl_id", | ||
"81", | ||
"82", | ||
"83", | ||
"84", | ||
"85", | ||
"86", | ||
"87", | ||
"89", | ||
"90", | ||
"91", | ||
"92", | ||
"93", | ||
"94", | ||
"95", | ||
"96", | ||
"97", | ||
"98", | ||
"99", | ||
"100", | ||
"101", | ||
"102", | ||
"103", | ||
"104", | ||
"105", | ||
"106", | ||
"107", | ||
"108", | ||
"109", | ||
"110", | ||
"111", | ||
"112", | ||
"113", | ||
"114", | ||
"115", | ||
"116", | ||
"117", | ||
"118", | ||
"119", | ||
"120", | ||
"121", | ||
"122", | ||
"123", | ||
"124", | ||
"125", | ||
"126", | ||
"city_name", | ||
] | ||
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stringfields = ["long_name", "type_desc", "District", "County", "Region", "city_name"] | ||
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# transform is a special function called automatically by Qri if defined | ||
def transform(ds, ctx): | ||
parkindex = ctx.download | ||
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# Parse labels for checkbox values | ||
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nodes = bsoup.parseHtml(parkindex) | ||
nodes = nodes.find_all("label") | ||
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label = {} | ||
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for i in nodes: | ||
for_ = i.attrs().get("for") | ||
if not for_: | ||
continue | ||
label[for_] = i.get_text() | ||
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# Parse data out of JSON | ||
jsonblobhits = re.findall("var vParksJson = .*;", parkindex) | ||
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if len(jsonblobhits) != 1: | ||
error("Wrong number of vParksJson’s") | ||
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# there is no `re.findall.group()`, so we have to process further | ||
jsonblob = re.findall("\[.*]", jsonblobhits[0])[0] | ||
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parsed = json.loads(jsonblob) | ||
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# construct dataset structure | ||
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# `get(key, key)` labels all keys that are in | ||
# `label` otherwise, they keep their old label | ||
st = structure([label.get(key, key) for key in keyorderunlabled]) | ||
ds.set_structure(st) | ||
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# convert back to csv data without header row | ||
# `write_all` returns a string | ||
csvstring = csv.write_all([[i[k] for k in keyorderunlabled] for i in parsed]) | ||
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ds.set_body(csvstring, parse_as="csv") | ||
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# structure is a custom function for extracting a dataset structure. | ||
# we need this this because Qri doesn't guess the schema correctly for us | ||
# so we build one by hand | ||
def structure(header_row): | ||
items = [{"title": title, "type": "string"} for title in header_row] | ||
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for i in items: | ||
# xxx Some of the int fields are bools | ||
# xxx which would require parsing and conversion | ||
if i["title"] not in stringfields: | ||
i["type"] = "integer" | ||
if i["title"] in ("Latitude", "Longitude"): | ||
i["type"] = "number" | ||
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return { | ||
"format": "csv", | ||
"formatConfig": {"lazyQuotes": True, "headerRow": True}, | ||
"schema": {"type": "array", "items": {"type": "array", "items": items}}, | ||
} |