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"""Google Analytics client.
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Thin proxy over the GA4 Data API and Admin API. Request/response bodies are
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forwarded as-is so callers keep the full flexibility of Google's API; this
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module only handles authentication (Bearer token), the base URL, and error
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mapping.
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Authentication (per chosen model, token wins over service account):
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* If ``X-GA-Access-Token`` was supplied, it is used directly.
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* Otherwise a short-lived access token is minted from the service-account
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JSON via google-auth and cached in-memory (keyed by key id + scope) until
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shortly before it expires. The key material is never written to disk or log.
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"""
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from __future__ import annotations
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import hashlib
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import threading
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import time
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from typing import Any
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import httpx
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from fastapi.concurrency import run_in_threadpool
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from .. import config
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from ..credentials import GaCredentials
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from ..errors import MissingCredentialsError, UpstreamError
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from ..logging_config import get_logger
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logger = get_logger(__name__)
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# In-memory access-token cache: { cache_key: (token, expiry_epoch_seconds) }.
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# Memory only - mirrors the stateless design (no secret ever persisted).
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_token_cache: dict[str, tuple[str, float]] = {}
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_token_lock = threading.Lock()
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# Refresh a minted token this many seconds before its real expiry.
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_EXPIRY_SKEW = 60.0
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def _mint_token_sync(info: dict, scope: str) -> tuple[str, float]:
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"""Mint an OAuth2 access token from a service-account key (blocking)."""
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# Imported lazily so the module imports even if google-auth is missing,
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# and so the dependency is only needed when service-account auth is used.
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from google.auth.transport.requests import Request
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from google.oauth2 import service_account
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try:
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creds = service_account.Credentials.from_service_account_info(
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info, scopes=[scope]
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)
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except (ValueError, KeyError) as exc:
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raise MissingCredentialsError(
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f"X-GA-Credentials is not a usable service-account key: {exc}"
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) from exc
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try:
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creds.refresh(Request())
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except Exception as exc: # google.auth.exceptions.RefreshError and friends
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# Surface as upstream auth failure - do NOT log the key material.
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raise UpstreamError(
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f"Failed to obtain Google access token from service account: {exc}",
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status=401,
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) from exc
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expiry = creds.expiry.timestamp() if creds.expiry else (time.time() + 3600)
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return creds.token, expiry
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def _cache_key(info: dict, scope: str) -> str:
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# Identify a key by its private_key_id + client_email + scope. Hashed so the
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# raw identifiers never sit in a dict key we might later log.
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raw = f"{info.get('private_key_id', '')}|{info.get('client_email', '')}|{scope}"
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return hashlib.sha256(raw.encode("utf-8")).hexdigest()
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async def _bearer_token(creds: GaCredentials) -> str:
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if creds.access_token:
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return creds.access_token
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if creds.service_account_info is None:
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# get_ga_credentials guarantees one of the two, but be defensive.
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raise MissingCredentialsError(
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"No GA access token and no service-account credentials available."
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)
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scope = config.GA_SCOPE
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key = _cache_key(creds.service_account_info, scope)
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now = time.time()
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with _token_lock:
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cached = _token_cache.get(key)
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if cached and cached[1] - _EXPIRY_SKEW > now:
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return cached[0]
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# Mint outside the lock (network call); google-auth is blocking, so offload
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# it to a thread to avoid stalling the event loop.
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token, expiry = await run_in_threadpool(
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_mint_token_sync, creds.service_account_info, scope
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)
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with _token_lock:
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_token_cache[key] = (token, expiry)
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return token
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class GoogleAnalyticsClient:
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"""Authenticated HTTP client for the GA4 Data and Admin APIs."""
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def __init__(self, creds: GaCredentials) -> None:
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self._creds = creds
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async def _request(
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self,
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method: str,
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base_url: str,
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path: str,
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*,
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params: dict | None = None,
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json_body: Any | None = None,
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) -> Any:
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token = await _bearer_token(self._creds)
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headers = {"Authorization": f"Bearer {token}"}
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if self._creds.quota_project:
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headers["x-goog-user-project"] = self._creds.quota_project
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url = f"{base_url}{path}"
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try:
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async with httpx.AsyncClient(
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timeout=config.HTTP_TIMEOUT_SECONDS
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) as client:
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resp = await client.request(
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method, url, params=params, json=json_body, headers=headers
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)
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except httpx.TimeoutException as exc:
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raise UpstreamError(
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"Google Analytics request timed out.", status=504
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) from exc
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except httpx.HTTPError as exc:
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raise UpstreamError(
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f"Google Analytics is unreachable: {exc}", status=502
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) from exc
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return _parse_google_response(resp)
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# --- Data API -------------------------------------------------------------
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async def data_post(self, path: str, body: Any) -> Any:
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return await self._request(
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"POST", config.GA_DATA_BASE_URL, path, json_body=body
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)
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async def data_get(self, path: str, params: dict | None = None) -> Any:
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return await self._request(
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"GET", config.GA_DATA_BASE_URL, path, params=params
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)
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# --- Admin API ------------------------------------------------------------
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async def admin_get(self, path: str, params: dict | None = None) -> Any:
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return await self._request(
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"GET", config.GA_ADMIN_BASE_URL, path, params=params
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)
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def _parse_google_response(resp: httpx.Response) -> Any:
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try:
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payload = resp.json()
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except ValueError:
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payload = {"raw": resp.text}
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if resp.is_success:
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return payload
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# Google returns {"error": {"code", "message", "status", ...}}.
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message = "Google Analytics API error"
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if isinstance(payload, dict) and isinstance(payload.get("error"), dict):
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message = payload["error"].get("message", message)
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raise UpstreamError(
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message,
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status=502 if resp.status_code >= 500 else resp.status_code,
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upstream_status=resp.status_code,
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body=payload,
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)
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