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Update September 10 dashboard data and event sources

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2026-09-11 14:15:00 +08:00
parent 776e64db20
commit 26ec923e9a
3 changed files with 21 additions and 16 deletions
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refresh_events.py
+12 -10
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@@ -15,7 +15,7 @@ from tableauhyperapi import Connection, HyperProcess, Telemetry
SERVER = os.environ.get("TABLEAU_SERVER", "https://mars.ushareit.org").rstrip("/")
API_VERSION = os.environ.get("TABLEAU_API_VERSION", "3.15")
SITE_CONTENT_URL = os.environ.get("TABLEAU_SITE_CONTENT_URL", "")
WORKBOOK_ID = os.environ.get("TABLEAU_EVENT_WORKBOOK_ID", "ad567777-aa52-4c2f-89c3-5acfed4fdbba")
WORKBOOK_ID = os.environ.get("TABLEAU_EVENT_WORKBOOK_ID", "5245cbe5-be36-46db-aaa5-51da9eba4f0b")
def request_json(url, *, body=None, headers=None):
@@ -57,23 +57,25 @@ def main():
archive_path.write_bytes(response.read())
with zipfile.ZipFile(archive_path) as archive:
members = [name for name in archive.namelist() if name.endswith(".hyper")]
if len(members) != 1:
raise SystemExit(f"expected one Hyper extract, found {len(members)}")
archive.extract(members[0], temp_dir)
hyper_path = Path(temp_dir) / members[0]
if not members:
raise SystemExit("no Hyper extracts found")
for member in members:
archive.extract(member, temp_dir)
query = '''
SELECT "dt", "pkg_name", "adping_id", "offer_name", "event_name",
SELECT "dt", "pkg_name", "adping_id", "offer_name", "second_channel", "event_name",
SUM("event_num")
FROM "Extract"."Extract"
GROUP BY "dt", "pkg_name", "adping_id", "offer_name", "event_name"
GROUP BY "dt", "pkg_name", "adping_id", "offer_name", "second_channel", "event_name"
ORDER BY "dt", "pkg_name", "offer_name", "event_name"
'''
rows = []
with HyperProcess(Telemetry.DO_NOT_SEND_USAGE_DATA_TO_TABLEAU) as process:
with Connection(process.endpoint, str(hyper_path)) as connection:
rows = connection.execute_list_query(query)
for member in members:
with Connection(process.endpoint, str(Path(temp_dir) / member)) as connection:
rows.extend(connection.execute_list_query(query))
with open(output_path, "w", encoding="utf-8", newline="") as handle:
writer = csv.writer(handle)
writer.writerow(("dt", "pkg_name", "adping_id", "offer_name", "event_name", "event_num"))
writer.writerow(("dt", "pkg_name", "adping_id", "offer_name", "second_channel", "event_name", "event_num"))
writer.writerows(rows)
dates = sorted({str(row[0]) for row in rows})
print(json.dumps({"rows": len(rows), "dates": dates}))