Use Tableau PAT for automated refresh
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@@ -1,2 +1,4 @@
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.DS_Store
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*.tmp
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.runtime/
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hyperd.log
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@@ -0,0 +1,101 @@
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#!/usr/bin/env python3
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import csv
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import json
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import os
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import re
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import sys
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import tempfile
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import urllib.request
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import zipfile
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from pathlib import Path
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from tableauhyperapi import Connection, HyperProcess, Telemetry
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SERVER = os.environ.get("TABLEAU_SERVER", "https://mars.ushareit.org").rstrip("/")
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API_VERSION = os.environ.get("TABLEAU_API_VERSION", "3.15")
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SITE_CONTENT_URL = os.environ.get("TABLEAU_SITE_CONTENT_URL", "")
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WORKBOOK_ID = os.environ.get("TABLEAU_WORKBOOK_ID", "07c673fb-bac8-4c78-83e6-c60f28e04e13")
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def request_json(url, *, body=None, headers=None):
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request = urllib.request.Request(url, data=body, headers=headers or {})
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with urllib.request.urlopen(request, timeout=120) as response:
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return json.load(response)
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def main():
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if len(sys.argv) != 3:
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raise SystemExit("usage: refresh_tableau.py YYYY-MM-DD OUTPUT.csv")
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target_date, output_path = sys.argv[1:]
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if not re.fullmatch(r"\d{4}-\d{2}-\d{2}", target_date):
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raise SystemExit("invalid target date")
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pat_name = os.environ.get("TABLEAU_PAT_NAME", "")
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pat_secret = os.environ.get("TABLEAU_PAT_SECRET", "")
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if not pat_name or not pat_secret:
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raise SystemExit("TABLEAU_PAT_NAME and TABLEAU_PAT_SECRET are required")
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signin_body = json.dumps({"credentials": {
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"personalAccessTokenName": pat_name,
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"personalAccessTokenSecret": pat_secret,
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"site": {"contentUrl": SITE_CONTENT_URL},
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}}).encode()
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signin = request_json(
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f"{SERVER}/api/{API_VERSION}/auth/signin",
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body=signin_body,
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headers={"Content-Type": "application/json", "Accept": "application/json"},
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)["credentials"]
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auth_token = signin["token"]
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site_id = signin["site"]["id"]
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try:
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with tempfile.TemporaryDirectory(prefix="manta-tableau-") as temp_dir:
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archive_path = Path(temp_dir) / "workbook.twbx"
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download = urllib.request.Request(
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f"{SERVER}/api/{API_VERSION}/sites/{site_id}/workbooks/{WORKBOOK_ID}/content",
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headers={"X-Tableau-Auth": auth_token},
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)
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with urllib.request.urlopen(download, timeout=180) as response:
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archive_path.write_bytes(response.read())
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with zipfile.ZipFile(archive_path) as archive:
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hyper_members = [name for name in archive.namelist() if name.endswith(".hyper")]
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if len(hyper_members) != 1:
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raise SystemExit(f"expected one Hyper extract, found {len(hyper_members)}")
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archive.extract(hyper_members[0], temp_dir)
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hyper_path = Path(temp_dir) / hyper_members[0]
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query = f'''
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SELECT "pkg", "source", "dt", "campaign_name",
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SUM("impression"), SUM("click"), SUM("conversions"), SUM("spend")
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FROM "Extract"."Extract"
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WHERE "dt" = '{target_date}'
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AND LOWER("source") IN ('bigo', 'kwai', 'mintegral')
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GROUP BY "pkg", "source", "dt", "campaign_name"
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ORDER BY "pkg", "source", "campaign_name"
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'''
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with HyperProcess(Telemetry.DO_NOT_SEND_USAGE_DATA_TO_TABLEAU) as process:
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with Connection(process.endpoint, str(hyper_path)) as connection:
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rows = connection.execute_list_query(query)
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if not rows:
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raise SystemExit(f"no Tableau rows for {target_date}")
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with open(output_path, "w", encoding="utf-8", newline="") as handle:
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writer = csv.writer(handle)
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writer.writerow(("pkg", "source", "dt", "campaign_name",
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"impression", "click", "conversions", "spend"))
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writer.writerows(rows)
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print(json.dumps({"date": target_date, "rawRows": len(rows)}))
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finally:
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try:
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signout = urllib.request.Request(
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f"{SERVER}/api/{API_VERSION}/auth/signout",
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data=b"",
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headers={"X-Tableau-Auth": auth_token},
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)
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urllib.request.urlopen(signout, timeout=30).close()
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except Exception:
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pass
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if __name__ == "__main__":
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main()
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@@ -1,19 +1,30 @@
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#!/usr/bin/env bash
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set -euo pipefail
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# AgentStage runs this hourly. The guard below refreshes once after 12:00 Asia/Shanghai.
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# AgentStage runs this hourly. Refresh exactly once during the 12:00 hour.
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export TZ=Asia/Shanghai
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hour="$(date +%H)"
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target_date="$(date -v-1d +%F 2>/dev/null || date -d yesterday +%F)"
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if [ "$hour" -lt 12 ]; then exit 0; fi
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if [ "$hour" -ne 12 ]; then exit 0; fi
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: "${TABLEAU_COOKIE:?Set TABLEAU_COOKIE in the AgentStage runner secret environment}"
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base_url="${TABLEAU_CSV_URL:-https://mars.ushareit.org/views/DSPSpend/DSPDailyData.csv}"
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tmp_file="$(mktemp)"
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trap 'rm -f "$tmp_file"' EXIT
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: "${TABLEAU_PAT_NAME:?Set TABLEAU_PAT_NAME in the AgentStage runner secret environment}"
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: "${TABLEAU_PAT_SECRET:?Set TABLEAU_PAT_SECRET in the AgentStage runner secret environment}"
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pkg_csv="$(python3 -c 'import json; d=json.load(open("campaign_config.json")); print(",".join(sorted({r["pkg"] for r in d if r["status"].lower()=="active"})))')"
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query="?:showVizHome=no&dt=${target_date}&pkg=${pkg_csv}&维度1=pkg&维度2=campaign_name&Source=展开&source=bigo,kwai,mintegral"
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curl -fsSL --cookie "$TABLEAU_COOKIE" "${base_url}${query}" -o "$tmp_file"
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repo_dir="$(CDPATH= cd -- "$(dirname -- "$0")" && pwd)"
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cd "$repo_dir"
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runtime_dir="${TABLEAU_HYPER_RUNTIME:-$repo_dir/.runtime/tableau-hyperapi}"
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success_marker="$repo_dir/.runtime/last-successful-date"
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if [ -f "$success_marker" ] && [ "$(cat "$success_marker")" = "$target_date" ]; then
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exit 0
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fi
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if ! PYTHONPATH="$runtime_dir" python3 -c 'import tableauhyperapi' 2>/dev/null; then
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mkdir -p "$runtime_dir"
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python3 -m pip install --disable-pip-version-check --target "$runtime_dir" tableauhyperapi
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fi
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python3 transform_tableau.py "$tmp_file" "$target_date"
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tmp_dir="$(mktemp -d)"
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trap 'rm -rf "$tmp_dir"' EXIT
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raw_file="$tmp_dir/tableau.csv"
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PYTHONPATH="$runtime_dir" python3 refresh_tableau.py "$target_date" "$raw_file"
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python3 transform_tableau.py "$raw_file" "$target_date"
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printf '%s\n' "$target_date" > "$success_marker"
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