def get_filters(self):
url = f"{self.baseurl}/views/{self.viewPath}"
print(url)
req = requests_retry_session()
# info, fdat = self.getRawTbluPageData(url, tbsroot, reqParams)
r = req.get(
url,
params={
":language": "en",
":display_count": "y",
":origin": "viz_share_link",
":embed": "y",
":showVizHome": "n",
":jsdebug": "y",
":apiID": "host4",
"#navType": "1",
"navSrc": "Parse",
},
headers={"Accept": "text/javascript"},
)
soup = BeautifulSoup(r.text, "html.parser")
# return soup
tableau_data = json.loads(
soup.find("textarea", {"id": "tsConfigContainer"}).text
)
# Call the bootstrapper: grab the state data, map selection update function
dataUrl = f'{self.baseurl}{tableau_data["vizql_root"]}/bootstrapSession/sessions/{tableau_data["sessionid"]}'
r = requests.post(
dataUrl,
data={
"sheet_id": tableau_data["sheetId"],
"showParams": tableau_data["showParams"],
},
)
# Regex the non-json output
dat = re.search("\d+;({.*})\d+;({.*})", r.text, re.MULTILINE)
# load info head and data group separately
info = json.loads(dat.group(1))
fdat = json.loads(dat.group(2))
user_actions = info["worldUpdate"]["applicationPresModel"]["workbookPresModel"][
"dashboardPresModel"
]["userActions"]
return (info, fdat, user_actions)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.session = requests_retry_session()
def get_tableau_view(self, url=None):
def onAlias(it, value, cstring):
return value[it] if (it >= 0) else cstring["dataValues"][abs(it) - 1]
req = requests_retry_session()
fullURL = self.baseurl + "/views/" + self.viewPath
if url is not None:
fullURL = url
if self.filterFunctionName is not None:
params = ":language=en&:display_count=y&:origin=viz_share_link&:embed=y&:showVizHome=n&:jsdebug=y&"
params += self.filterFunctionName + "=" + self.filterFunctionValue
if self.secondaryFilterFunctionName is not None:
params += (
"&"
+ self.secondaryFilterFunctionName
+ "="
+ self.secondaryFilterValue.replace(" ", "%20")
)
reqg = req.get(fullURL, params=params)
else:
reqg = req.get(
fullURL,
params={
":language": "en",
":display_count": "y",
":origin": "viz_share_link",
":embed": "y",
":showVizHome": "n",
":jsdebug": "y",
":apiID": "host4",
"#navType": "1",
"navSrc": "Parse",
},
headers={"Accept": "text/javascript"},
)
soup = BeautifulSoup(reqg.text, "html.parser")
tableauTag = soup.find("textarea", {"id": "tsConfigContainer"})
tableauData = json.loads(tableauTag.text)
parsed_url = urllib.parse.urlparse(fullURL)
dataUrl = f'{parsed_url.scheme}://{parsed_url.hostname}{tableauData["vizql_root"]}/bootstrapSession/sessions/{tableauData["sessionid"]}'
# copy over some additional headers from tableauData
form_data = {}
form_map = {
"sheetId": "sheet_id",
"showParams": "showParams",
"stickySessionKey": "stickySessionKey",
}
for k, v in form_map.items():
if k in tableauData:
form_data[v] = tableauData[k]
resp = req.post(
dataUrl,
data=form_data,
headers={"Accept": "text/javascript"},
)
# Parse the response.
# The response contains multiple chuncks of the form
# `<size>;<json>` where `<size>` is the number of bytes in `<json>`
resp_text = resp.text
data = []
while len(resp_text) != 0:
size, rest = resp_text.split(";", 1)
chunck = json.loads(rest[: int(size)])
data.append(chunck)
resp_text = rest[int(size) :]
# The following section (to the end of the method) uses code from
# https://stackoverflow.com/questions/64094560/how-do-i-scrape-tableau-data-from-website-into-r
presModel = data[1]["secondaryInfo"]["presModelMap"]
metricInfo = presModel["vizData"]["presModelHolder"]
metricInfo = metricInfo["genPresModelMapPresModel"]["presModelMap"]
data = presModel["dataDictionary"]["presModelHolder"]
data = data["genDataDictionaryPresModel"]["dataSegments"]["0"]["dataColumns"]
scrapedData = {}
for metric in metricInfo:
metricsDict = metricInfo[metric]["presModelHolder"]["genVizDataPresModel"]
columnsData = metricsDict["paneColumnsData"]
result = [
{
"fieldCaption": t.get("fieldCaption", ""),
"valueIndices": columnsData["paneColumnsList"][t["paneIndices"][0]][
"vizPaneColumns"
][t["columnIndices"][0]]["valueIndices"],
"aliasIndices": columnsData["paneColumnsList"][t["paneIndices"][0]][
"vizPaneColumns"
][t["columnIndices"][0]]["aliasIndices"],
"dataType": t.get("dataType"),
"paneIndices": t["paneIndices"][0],
"columnIndices": t["columnIndices"][0],
}
for t in columnsData["vizDataColumns"]
if t.get("fieldCaption")
]
frameData = {}
cstring = [t for t in data if t["dataType"] == "cstring"][0]
for t in data:
for index in result:
if t["dataType"] == index["dataType"]:
if len(index["valueIndices"]) > 0:
frameData[f'{index["fieldCaption"]}-value'] = [
t["dataValues"][abs(it)] for it in index["valueIndices"]
]
if len(index["aliasIndices"]) > 0:
frameData[f'{index["fieldCaption"]}-alias'] = [
onAlias(it, t["dataValues"], cstring)
for it in index["aliasIndices"]
]
df = pd.DataFrame.from_dict(frameData, orient="index").fillna(0).T
scrapedData[metric] = df
return scrapedData
def _make_req(self):
self._req = requests_retry_session()
return self._req