diff --git a/.gitignore b/.gitignore index 31137a9..8e3c258 100644 --- a/.gitignore +++ b/.gitignore @@ -219,6 +219,12 @@ build/Release node_modules/ jspm_packages/ +# Frontend build/typecheck artifacts +frontend/dist/ +frontend/*.tsbuildinfo +frontend/vite.config.js +frontend/vite.config.d.ts + # Snowpack dependency directory (https://snowpack.dev/) web_modules/ @@ -312,3 +318,6 @@ dist .yarn/install-state.gz .pnp.* +# This project uses Kubernetes + Grafana Alloy instead of local docker compose collector. +docker-compose.yml +otel-collector-config.yaml diff --git a/LICENSE b/LICENSE index de58bc5..3b3abd0 100644 --- a/LICENSE +++ b/LICENSE @@ -1,18 +1,14 @@ -MIT License +Copyright (C) 2026 Domagoj Andrić -Copyright (c) 2026 domagoj +This program is free software: you can redistribute it and/or modify +it under the terms of the GNU Affero General Public License as +published by the Free Software Foundation, either version 3 of the +License, or (at your option) any later version. -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and -associated documentation files (the "Software"), to deal in the Software without restriction, including -without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the -following conditions: +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +GNU Affero General Public License for more details. -The above copyright notice and this permission notice shall be included in all copies or substantial -portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT -LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO -EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER -IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE -USE OR OTHER DEALINGS IN THE SOFTWARE. +You should have received a copy of the GNU Affero General Public License +along with this program. If not, see . diff --git a/README.md b/README.md index d90400e..af47d57 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,144 @@ -# zavrsni-rad-otel-app +# OTel BI Forecast App +OpenTelemetry-instrumented BI platform with microservices, frontend OIDC login plus backend token validation, read-only MSSQL data warehouse access, and PostgreSQL persistence for writable app data. + +## Architecture + +- Frontend: React + TypeScript (`frontend/`) +- Backend microservices (`backend/microservices/`): + - `api_gateway`: public API, frontend JWT validation, internal token minting, routing/audit forwarding + - `bi_query`: read-only MSSQL warehouse queries + - `analytics`: forecasting, rankings, recommendations + - `persistence`: PostgreSQL writes/reads for app data +- Data sources: + - MSSQL (`WorldWideImporters`, `AdventureWorks2022DWH`) read-only only + - PostgreSQL writable app store (`audit_logs`, `forecast_runs`, `ranking_runs`, `recommendation_runs`) +- Observability: OTLP/HTTP to Grafana Alloy (`/v1/traces`, `/v1/metrics`) + +## Authentication Model + +- Frontend uses OIDC Authorization Code + PKCE. +- `api_gateway` validates frontend bearer JWT (`iss`, `aud`, signature, expiry, optional scopes) against configured JWKS. +- `api_gateway` mints short-lived internal service tokens (`x-internal-service-token`) for service-to-service calls. +- Internal services (`analytics`, `bi_query`, `persistence`) require valid internal token on non-health endpoints and enforce issuer/type checks. +- Combine with K8s network controls (ClusterIP, NetworkPolicy, mTLS/service mesh where available). + +Frontend uses OIDC Authorization Code + PKCE with: +- `VITE_OIDC_ENABLED=true` +- `VITE_OIDC_AUTHORITY=` +- `VITE_OIDC_CLIENT_ID=` +- `VITE_OIDC_REDIRECT_URI=` +- `VITE_OIDC_POST_LOGOUT_REDIRECT_URI=` +- `VITE_OIDC_SCOPE=openid profile email` + +Backend security env: +- `REQUIRE_FRONTEND_AUTH=true` +- `FRONTEND_JWT_ISSUER_URL=` +- `FRONTEND_JWT_JWKS_URL=` +- `FRONTEND_JWT_AUDIENCE=` +- `FRONTEND_REQUIRED_SCOPES=` +- `INTERNAL_SERVICE_SHARED_SECRET=` +- `INTERNAL_SERVICE_ALLOWED_ISSUERS=api-gateway` +- `MSSQL_TRUST_SERVER_CERTIFICATE=false` and `POSTGRES_SSLMODE=require` for production TLS validation + +## Local Run (Microservices) + +```bash +cd backend +python -m venv .venv +source .venv/bin/activate +pip install -e . +cp .env.example .env +``` + +Run services in separate terminals: + +```bash +uvicorn microservices.persistence.main:app --host 0.0.0.0 --port 8103 --reload +uvicorn microservices.bi_query.main:app --host 0.0.0.0 --port 8101 --reload +uvicorn microservices.analytics.main:app --host 0.0.0.0 --port 8102 --reload +uvicorn microservices.api_gateway.main:app --host 0.0.0.0 --port 8000 --reload +``` + +Frontend: + +```bash +cd frontend +npm install +cp .env.example .env +npm run dev +``` + +Set: +- `VITE_API_BASE_URL=http://localhost:8000` +- `VITE_OTEL_COLLECTOR_ENDPOINT=http://alloy.monitoring.svc.cluster.local:4318` + +Frontend sends `Authorization: Bearer ` from the active OIDC session. + +## API Endpoints (via Gateway) + +- `GET /api/health` +- `GET /api/telemetry/status` +- `GET /api/kpis` +- `GET /api/history?days_back=365` +- `GET /api/forecasts?days=30` +- `GET /api/rankings?top_n=10` +- `GET /api/recommendations` +- `GET /api/dashboard` +- `GET /api/storage/audit-logs?limit=50` +- `GET /api/storage/forecasts?limit=50` +- `GET /api/storage/rankings?limit=50` +- `GET /api/storage/recommendations?limit=50` + +## K8s Deployment + +Example manifest: +- `k8s/microservices.yaml` + +It includes: +- namespace, config map, secret +- deployments/services for `api-gateway`, `bi-query`, `analytics`, `persistence` +- Alloy endpoint wiring via `OTEL_COLLECTOR_ENDPOINT` +- frontend JWT validation config and internal token secret wiring +- hardened pod security defaults (`runAsNonRoot`, dropped capabilities, `seccompProfile: RuntimeDefault`, no auto-mounted service account token) + +## Read-Only Guarantee + +- MSSQL connections enforce `ApplicationIntent=ReadOnly`. +- Warehouse query layer only accepts `SELECT`/`WITH`. +- Writable operations are isolated to PostgreSQL only. +- Use SQL Server account with `SELECT` grants only. + +## OTel Coverage + +- Frontend: + - W3C trace/baggage propagation + - document-load, user-interaction, fetch, XHR instrumentation + - manual dashboard spans +- Backend services: + - FastAPI request spans + - HTTP client spans for service-to-service calls + - SQLAlchemy spans (MSSQL and PostgreSQL) + - manual analytics + persistence spans + - audit/snapshot persistence telemetry + +## Verification + +1. Call `GET /api/telemetry/status` with a valid frontend bearer token. +2. Confirm response has non-null `trace_id` and `span_id`. +3. Trigger `GET /api/dashboard`; then verify records in `GET /api/storage/audit-logs`. +4. In Grafana/Tempo, confirm trace path includes: + - `api-gateway` span + - `analytics` span + - `bi-query` MSSQL spans + - `persistence` PostgreSQL spans +5. Call internal service endpoint directly without `x-internal-service-token` and verify it returns `401`. + +## Optional Tests + +```bash +cd backend +source .venv/bin/activate +pip install -e .[dev] +pytest +``` diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..61098ab --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,59 @@ +APP_NAME=otel-bi-backend +APP_ENV=dev +LOG_LEVEL=INFO +API_HOST=0.0.0.0 +API_PORT=8000 + +CORS_ORIGINS=http://localhost:5173 + +MSSQL_HOST=localhost +MSSQL_PORT=1433 +MSSQL_USERNAME=readonly_user +MSSQL_PASSWORD=readonly_password +MSSQL_DRIVER=ODBC Driver 18 for SQL Server +MSSQL_TRUST_SERVER_CERTIFICATE=false + +WWI_DATABASE=WorldWideImporters +AW_DATABASE=AdventureWorks2022DWH +# Optional direct URLs (override generated URLs): +# WWI_CONNECTION_STRING=mssql+pyodbc://user:pass@host:1433/WorldWideImporters?driver=ODBC+Driver+18+for+SQL+Server&ApplicationIntent=ReadOnly +# AW_CONNECTION_STRING=mssql+pyodbc://user:pass@host:1433/AdventureWorks2022DWH?driver=ODBC+Driver+18+for+SQL+Server&ApplicationIntent=ReadOnly + +POSTGRES_HOST=localhost +POSTGRES_PORT=5432 +POSTGRES_DATABASE=otel_bi_app +POSTGRES_USERNAME=otel_bi_app +POSTGRES_PASSWORD=otel_bi_app +POSTGRES_SSLMODE=require +# Optional direct URL: +# POSTGRES_CONNECTION_STRING=postgresql+psycopg://otel_bi_app:otel_bi_app@localhost:5432/otel_bi_app?sslmode=prefer +POSTGRES_REQUIRED=true + +QUERY_SERVICE_URL=http://localhost:8101 +ANALYTICS_SERVICE_URL=http://localhost:8102 +PERSISTENCE_SERVICE_URL=http://localhost:8103 +REQUEST_TIMEOUT_SECONDS=20 +REQUIRE_FRONTEND_AUTH=true +FRONTEND_JWT_ISSUER_URL=https:///realms/ +FRONTEND_JWT_AUDIENCE=otel-bi-api +FRONTEND_JWT_JWKS_URL=https:///realms//protocol/openid-connect/certs +FRONTEND_JWT_ALGORITHM=RS256 +FRONTEND_REQUIRED_SCOPES=openid profile email +FRONTEND_CLOCK_SKEW_SECONDS=30 +INTERNAL_SERVICE_AUTH_ENABLED=true +INTERNAL_SERVICE_SHARED_SECRET=replace-with-strong-random-secret-min-32-bytes +INTERNAL_SERVICE_TOKEN_TTL_SECONDS=120 +INTERNAL_SERVICE_TOKEN_AUDIENCE=bi-internal +INTERNAL_SERVICE_ALLOWED_ISSUERS=api-gateway +INTERNAL_TOKEN_CLOCK_SKEW_SECONDS=15 + +OTEL_SERVICE_NAME=otel-bi-backend +OTEL_SERVICE_NAMESPACE=final-thesis +OTEL_COLLECTOR_ENDPOINT=http://localhost:4318 +# K8s + Alloy example: +# OTEL_COLLECTOR_ENDPOINT=http://alloy.monitoring.svc.cluster.local:4318 +OTEL_EXPORT_TIMEOUT_MS=10000 + +FORECAST_HORIZON_DAYS=30 +DEFAULT_HISTORY_DAYS=365 +RANKING_DEFAULT_TOP_N=10 diff --git a/backend/app/__init__.py b/backend/app/__init__.py new file mode 100644 index 0000000..cc5e737 --- /dev/null +++ b/backend/app/__init__.py @@ -0,0 +1 @@ +"""Backend application package.""" diff --git a/backend/app/core/config.py b/backend/app/core/config.py new file mode 100644 index 0000000..33610e3 --- /dev/null +++ b/backend/app/core/config.py @@ -0,0 +1,135 @@ +from __future__ import annotations + +from functools import lru_cache +from urllib.parse import quote_plus + +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + model_config = SettingsConfigDict( + env_file=".env", + env_file_encoding="utf-8", + extra="ignore", + ) + + app_name: str = "otel-bi-backend" + app_env: str = "dev" + log_level: str = "INFO" + + api_host: str = "0.0.0.0" + api_port: int = 8000 + + cors_origins: str = "http://localhost:5173" + request_timeout_seconds: float = 20.0 + + mssql_host: str = "localhost" + mssql_port: int = 1433 + mssql_username: str = "sa" + mssql_password: str = "Password!123" + mssql_driver: str = "ODBC Driver 18 for SQL Server" + mssql_trust_server_certificate: bool = False + + wwi_database: str = "WorldWideImporters" + aw_database: str = "AdventureWorks2022DWH" + wwi_connection_string: str | None = None + aw_connection_string: str | None = None + postgres_host: str = "localhost" + postgres_port: int = 5432 + postgres_database: str = "otel_bi_app" + postgres_username: str = "otel_bi_app" + postgres_password: str = "otel_bi_app" + postgres_sslmode: str = "require" + postgres_connection_string: str | None = None + postgres_required: bool = True + query_service_url: str = "http://localhost:8101" + analytics_service_url: str = "http://localhost:8102" + persistence_service_url: str = "http://localhost:8103" + require_frontend_auth: bool = True + frontend_jwt_issuer_url: str = "" + frontend_jwt_audience: str = "" + frontend_jwt_jwks_url: str | None = None + frontend_jwt_algorithm: str = "RS256" + frontend_required_scopes: str = "" + frontend_clock_skew_seconds: int = Field(default=30, ge=0, le=300) + internal_service_auth_enabled: bool = True + internal_service_shared_secret: str = "change-me" + internal_service_token_ttl_seconds: int = Field(default=120, ge=30, le=900) + internal_service_token_audience: str = "bi-internal" + internal_service_allowed_issuers: str = "api-gateway" + internal_token_clock_skew_seconds: int = Field(default=15, ge=0, le=120) + + otel_service_name: str = "otel-bi-backend" + otel_service_namespace: str = "final-thesis" + otel_collector_endpoint: str = "http://localhost:4318" + otel_export_timeout_ms: int = 10000 + + forecast_horizon_days: int = Field(default=30, ge=7, le=180) + default_history_days: int = Field(default=365, ge=30, le=1460) + ranking_default_top_n: int = Field(default=10, ge=3, le=100) + storage_default_limit: int = Field(default=50, ge=10, le=500) + + @property + def cors_origins_list(self) -> list[str]: + return [ + origin.strip() for origin in self.cors_origins.split(",") if origin.strip() + ] + + @property + def frontend_required_scopes_list(self) -> list[str]: + return [ + scope.strip() + for scope in self.frontend_required_scopes.split(" ") + if scope.strip() + ] + + @property + def internal_service_allowed_issuers_list(self) -> list[str]: + return [ + issuer.strip() + for issuer in self.internal_service_allowed_issuers.split(",") + if issuer.strip() + ] + + def _build_mssql_connection_url(self, database: str) -> str: + driver = quote_plus(self.mssql_driver) + user = quote_plus(self.mssql_username) + password = quote_plus(self.mssql_password) + trust_cert = "yes" if self.mssql_trust_server_certificate else "no" + return ( + f"mssql+pyodbc://{user}:{password}@{self.mssql_host}:{self.mssql_port}/{database}" + f"?driver={driver}&TrustServerCertificate={trust_cert}&ApplicationIntent=ReadOnly" + ) + + @property + def wwi_connection_url(self) -> str: + return self.wwi_connection_string or self._build_mssql_connection_url( + self.wwi_database + ) + + @property + def aw_connection_url(self) -> str: + return self.aw_connection_string or self._build_mssql_connection_url( + self.aw_database + ) + + @property + def postgres_connection_url(self) -> str: + if self.postgres_connection_string: + return self.postgres_connection_string + + user = quote_plus(self.postgres_username) + password = quote_plus(self.postgres_password) + return ( + f"postgresql+psycopg://{user}:{password}@{self.postgres_host}:{self.postgres_port}/" + f"{self.postgres_database}?sslmode={self.postgres_sslmode}" + ) + + +@lru_cache +def get_settings() -> Settings: + return Settings() + + +settings = get_settings() diff --git a/backend/app/core/otel.py b/backend/app/core/otel.py new file mode 100644 index 0000000..d62eeac --- /dev/null +++ b/backend/app/core/otel.py @@ -0,0 +1,103 @@ +from __future__ import annotations + +import logging +from dataclasses import dataclass +from typing import Any + +from fastapi import FastAPI +from opentelemetry import metrics, trace +from opentelemetry.baggage.propagation import W3CBaggagePropagator +from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter +from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter +from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor +from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor +from opentelemetry.instrumentation.logging import LoggingInstrumentor +from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor +from opentelemetry.propagate import set_global_textmap +from opentelemetry.propagators.composite import CompositePropagator +from opentelemetry.sdk.metrics import MeterProvider +from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor +from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator + +try: + from opentelemetry.instrumentation.system_metrics import SystemMetricsInstrumentor +except ImportError: # pragma: no cover - defensive fallback for minimal envs + SystemMetricsInstrumentor = None # type: ignore[assignment] + +from app.core.config import Settings + +LOGGER = logging.getLogger(__name__) + + +@dataclass +class TelemetryProviders: + tracer_provider: TracerProvider + meter_provider: MeterProvider + + +def configure_otel(settings: Settings) -> TelemetryProviders: + set_global_textmap( + CompositePropagator([TraceContextTextMapPropagator(), W3CBaggagePropagator()]) + ) + resource = Resource.create( + { + "service.name": settings.otel_service_name, + "service.namespace": settings.otel_service_namespace, + "deployment.environment": settings.app_env, + } + ) + + trace_exporter = OTLPSpanExporter( + endpoint=f"{settings.otel_collector_endpoint}/v1/traces", + timeout=settings.otel_export_timeout_ms / 1000, + ) + tracer_provider = TracerProvider(resource=resource) + tracer_provider.add_span_processor(BatchSpanProcessor(trace_exporter)) + trace.set_tracer_provider(tracer_provider) + + metric_reader = PeriodicExportingMetricReader( + exporter=OTLPMetricExporter( + endpoint=f"{settings.otel_collector_endpoint}/v1/metrics", + timeout=settings.otel_export_timeout_ms / 1000, + ), + export_interval_millis=10000, + ) + meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader]) + metrics.set_meter_provider(meter_provider) + + LoggingInstrumentor().instrument(set_logging_format=True) + if SystemMetricsInstrumentor is not None: + SystemMetricsInstrumentor().instrument() + else: + LOGGER.warning( + "System metrics instrumentor not available, runtime host metrics disabled." + ) + LOGGER.info("OpenTelemetry providers configured") + return TelemetryProviders( + tracer_provider=tracer_provider, meter_provider=meter_provider + ) + + +def instrument_fastapi(app: FastAPI) -> None: + FastAPIInstrumentor.instrument_app(app) + + +def instrument_sqlalchemy_engines(engines: dict[str, Any]) -> None: + for engine in engines.values(): + SQLAlchemyInstrumentor().instrument(engine=engine) + + +def instrument_httpx_clients() -> None: + HTTPXClientInstrumentor().instrument() + + +def shutdown_otel(providers: TelemetryProviders) -> None: + HTTPXClientInstrumentor().uninstrument() + if SystemMetricsInstrumentor is not None: + SystemMetricsInstrumentor().uninstrument() + LoggingInstrumentor().uninstrument() + providers.meter_provider.shutdown() + providers.tracer_provider.shutdown() diff --git a/backend/app/core/security.py b/backend/app/core/security.py new file mode 100644 index 0000000..0bf3713 --- /dev/null +++ b/backend/app/core/security.py @@ -0,0 +1,231 @@ +from __future__ import annotations + +from dataclasses import dataclass +from functools import lru_cache +from time import time +from uuid import uuid4 + +import jwt +from fastapi import Depends, Header, HTTPException, status +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer +from jwt import InvalidTokenError, PyJWKClient + +from app.core.config import settings + +BEARER_SCHEME = HTTPBearer(auto_error=False) + + +@dataclass +class FrontendPrincipal: + subject: str + scopes: list[str] + claims: dict + token: str + + +@dataclass +class InternalPrincipal: + subject: str + scopes: list[str] + claims: dict + token: str + + +class FrontendJWTVerifier: + @property + def jwks_url(self) -> str: + if not settings.frontend_jwt_jwks_url: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="FRONTEND_JWT_JWKS_URL is not configured.", + ) + return settings.frontend_jwt_jwks_url + + @lru_cache(maxsize=1) + def _jwks_client(self) -> PyJWKClient: + return PyJWKClient(self.jwks_url) + + @staticmethod + def _extract_scopes(claims: dict) -> list[str]: + scope = claims.get("scope") + if isinstance(scope, str): + return [item for item in scope.split(" ") if item] + scp = claims.get("scp") + if isinstance(scp, list): + return [str(item) for item in scp] + return [] + + def verify(self, token: str) -> FrontendPrincipal: + if not settings.frontend_jwt_issuer_url: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="FRONTEND_JWT_ISSUER_URL is not configured.", + ) + if not settings.frontend_jwt_audience: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="FRONTEND_JWT_AUDIENCE is not configured.", + ) + + try: + signing_key = self._jwks_client().get_signing_key_from_jwt(token).key + claims = jwt.decode( + token, + key=signing_key, + algorithms=[settings.frontend_jwt_algorithm], + audience=settings.frontend_jwt_audience, + issuer=settings.frontend_jwt_issuer_url, + leeway=settings.frontend_clock_skew_seconds, + ) + except InvalidTokenError as exc: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid frontend access token.", + ) from exc + + subject = str(claims.get("sub") or "") + if not subject: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Frontend token missing subject.", + ) + + scopes = self._extract_scopes(claims) + required = settings.frontend_required_scopes_list + missing = [scope for scope in required if scope not in scopes] + if missing: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail=f"Missing required scope(s): {', '.join(missing)}", + ) + return FrontendPrincipal( + subject=subject, scopes=scopes, claims=claims, token=token + ) + + +class InternalTokenManager: + token_type = "internal-service" + + @staticmethod + def _assert_secret() -> str: + secret = settings.internal_service_shared_secret + if not secret or secret == "change-me": + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="INTERNAL_SERVICE_SHARED_SECRET must be configured.", + ) + if len(secret.encode("utf-8")) < 32: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=( + "INTERNAL_SERVICE_SHARED_SECRET must be at least 32 bytes for " + "HS256 token signing." + ), + ) + return secret + + def mint( + self, + *, + subject: str, + scopes: list[str], + source_service: str, + ) -> str: + now = int(time()) + payload = { + "sub": subject, + "scope": " ".join(scopes), + "iss": source_service, + "aud": settings.internal_service_token_audience, + "typ": self.token_type, + "iat": now, + "nbf": now, + "exp": now + settings.internal_service_token_ttl_seconds, + "jti": str(uuid4()), + } + return jwt.encode(payload, self._assert_secret(), algorithm="HS256") + + def verify(self, token: str) -> InternalPrincipal: + try: + claims = jwt.decode( + token, + self._assert_secret(), + algorithms=["HS256"], + audience=settings.internal_service_token_audience, + options={ + "require": ["sub", "iss", "aud", "exp", "iat", "nbf", "jti", "typ"] + }, + leeway=settings.internal_token_clock_skew_seconds, + ) + except InvalidTokenError as exc: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid internal service token.", + ) from exc + + subject = str(claims.get("sub") or "") + if not subject: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Internal token missing subject.", + ) + + issuer = str(claims.get("iss") or "") + if issuer not in settings.internal_service_allowed_issuers_list: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Internal token issuer is not allowed.", + ) + + token_type = str(claims.get("typ") or "") + if token_type != self.token_type: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Internal token type is invalid.", + ) + + scope = claims.get("scope") + scopes = [item for item in str(scope).split(" ") if item] if scope else [] + return InternalPrincipal( + subject=subject, scopes=scopes, claims=claims, token=token + ) + + +@lru_cache(maxsize=1) +def get_frontend_verifier() -> FrontendJWTVerifier: + return FrontendJWTVerifier() + + +@lru_cache(maxsize=1) +def get_internal_token_manager() -> InternalTokenManager: + return InternalTokenManager() + + +def require_frontend_principal( + credentials: HTTPAuthorizationCredentials | None = Depends(BEARER_SCHEME), +) -> FrontendPrincipal: + if not settings.require_frontend_auth: + return FrontendPrincipal(subject="anonymous", scopes=[], claims={}, token="") + + if credentials is None or credentials.scheme.lower() != "bearer": + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Missing bearer token.", + ) + return get_frontend_verifier().verify(credentials.credentials) + + +def require_internal_principal( + internal_token: str | None = Header(default=None, alias="x-internal-service-token"), +) -> InternalPrincipal: + if not settings.internal_service_auth_enabled: + return InternalPrincipal( + subject="internal-unauth", scopes=[], claims={}, token="" + ) + + if not internal_token: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Missing x-internal-service-token header.", + ) + return get_internal_token_manager().verify(internal_token) diff --git a/backend/app/db/__init__.py b/backend/app/db/__init__.py new file mode 100644 index 0000000..d499bb3 --- /dev/null +++ b/backend/app/db/__init__.py @@ -0,0 +1 @@ +"""Database helpers for warehouse connections.""" diff --git a/backend/app/db/engine.py b/backend/app/db/engine.py new file mode 100644 index 0000000..74f0578 --- /dev/null +++ b/backend/app/db/engine.py @@ -0,0 +1,34 @@ +from __future__ import annotations + +from sqlalchemy import create_engine, event +from sqlalchemy.engine import Engine + +from app.core.config import settings + + +def _create_read_only_engine(connection_url: str) -> Engine: + engine = create_engine( + connection_url, pool_pre_ping=True, pool_recycle=3600, future=True + ) + + @event.listens_for(engine, "connect") + def _on_connect(dbapi_connection, _connection_record) -> None: + cursor = dbapi_connection.cursor() + try: + cursor.execute("SET TRANSACTION ISOLATION LEVEL READ COMMITTED;") + finally: + cursor.close() + + return engine + + +def create_warehouse_engines() -> dict[str, Engine]: + return { + "wwi": _create_read_only_engine(settings.wwi_connection_url), + "aw": _create_read_only_engine(settings.aw_connection_url), + } + + +def dispose_engines(engines: dict[str, Engine]) -> None: + for engine in engines.values(): + engine.dispose() diff --git a/backend/app/db/postgres.py b/backend/app/db/postgres.py new file mode 100644 index 0000000..1570f3f --- /dev/null +++ b/backend/app/db/postgres.py @@ -0,0 +1,27 @@ +from __future__ import annotations + +from sqlalchemy import create_engine +from sqlalchemy.engine import Engine +from sqlalchemy.orm import Session, sessionmaker + +from app.core.config import settings +from app.db.postgres_models import Base + + +def create_postgres_engine() -> Engine: + return create_engine( + settings.postgres_connection_url, + pool_pre_ping=True, + pool_recycle=3600, + future=True, + ) + + +def initialize_postgres_schema(engine: Engine) -> None: + Base.metadata.create_all(bind=engine) + + +def create_postgres_session_factory(engine: Engine) -> sessionmaker[Session]: + return sessionmaker( + bind=engine, autoflush=False, autocommit=False, expire_on_commit=False + ) diff --git a/backend/app/db/postgres_models.py b/backend/app/db/postgres_models.py new file mode 100644 index 0000000..66fc347 --- /dev/null +++ b/backend/app/db/postgres_models.py @@ -0,0 +1,86 @@ +from __future__ import annotations + +from datetime import datetime, timezone +from uuid import uuid4 + +from sqlalchemy import JSON, DateTime, Float, Integer, String, Text +from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column + + +def _utcnow() -> datetime: + return datetime.now(timezone.utc) + + +class Base(DeclarativeBase): + pass + + +class AuditLog(Base): + __tablename__ = "audit_logs" + + id: Mapped[str] = mapped_column( + String(36), primary_key=True, default=lambda: str(uuid4()) + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), default=_utcnow, index=True + ) + method: Mapped[str] = mapped_column(String(12), index=True) + path: Mapped[str] = mapped_column(String(300), index=True) + query_string: Mapped[str] = mapped_column(String(1000), default="") + status_code: Mapped[int] = mapped_column(Integer, index=True) + duration_ms: Mapped[float] = mapped_column(Float) + trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) + span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True) + client_ip: Mapped[str | None] = mapped_column(String(120), nullable=True) + user_agent: Mapped[str | None] = mapped_column(Text, nullable=True) + details: Mapped[dict] = mapped_column(JSON, default=dict) + + +class ForecastRun(Base): + __tablename__ = "forecast_runs" + + id: Mapped[str] = mapped_column( + String(36), primary_key=True, default=lambda: str(uuid4()) + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), default=_utcnow, index=True + ) + horizon_days: Mapped[int] = mapped_column(Integer) + point_count: Mapped[int] = mapped_column(Integer) + trigger_source: Mapped[str] = mapped_column(String(64), index=True) + trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) + span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True) + payload: Mapped[list[dict]] = mapped_column(JSON, default=list) + + +class RankingRun(Base): + __tablename__ = "ranking_runs" + + id: Mapped[str] = mapped_column( + String(36), primary_key=True, default=lambda: str(uuid4()) + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), default=_utcnow, index=True + ) + top_n: Mapped[int] = mapped_column(Integer) + item_count: Mapped[int] = mapped_column(Integer) + trigger_source: Mapped[str] = mapped_column(String(64), index=True) + trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) + span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True) + payload: Mapped[list[dict]] = mapped_column(JSON, default=list) + + +class RecommendationRun(Base): + __tablename__ = "recommendation_runs" + + id: Mapped[str] = mapped_column( + String(36), primary_key=True, default=lambda: str(uuid4()) + ) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), default=_utcnow, index=True + ) + item_count: Mapped[int] = mapped_column(Integer) + trigger_source: Mapped[str] = mapped_column(String(64), index=True) + trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True) + span_id: Mapped[str | None] = mapped_column(String(16), nullable=True, index=True) + payload: Mapped[list[dict]] = mapped_column(JSON, default=list) diff --git a/backend/app/db/queries.py b/backend/app/db/queries.py new file mode 100644 index 0000000..eca75e5 --- /dev/null +++ b/backend/app/db/queries.py @@ -0,0 +1,167 @@ +from __future__ import annotations + +AW_DAILY_SALES_QUERIES = [ + """ + SELECT + CAST(d.FullDateAlternateKey AS date) AS sale_date, + SUM(f.SalesAmount) AS revenue, + SUM(f.TotalProductCost) AS cost, + SUM(f.OrderQuantity) AS quantity, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales AS f + INNER JOIN dbo.DimDate AS d ON d.DateKey = f.OrderDateKey + GROUP BY CAST(d.FullDateAlternateKey AS date) + ORDER BY sale_date; + """, + """ + SELECT + CAST(OrderDate AS date) AS sale_date, + SUM(SalesAmount) AS revenue, + SUM(TotalProductCost) AS cost, + SUM(OrderQuantity) AS quantity, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales + GROUP BY CAST(OrderDate AS date) + ORDER BY sale_date; + """, +] + +WWI_DAILY_SALES_QUERIES = [ + """ + SELECT + CAST(i.InvoiceDate AS date) AS sale_date, + SUM(il.ExtendedPrice) AS revenue, + SUM(il.TaxAmount) AS cost, + SUM(il.Quantity) AS quantity, + COUNT_BIG(DISTINCT i.InvoiceID) AS orders + FROM Sales.Invoices AS i + INNER JOIN Sales.InvoiceLines AS il ON il.InvoiceID = i.InvoiceID + GROUP BY CAST(i.InvoiceDate AS date) + ORDER BY sale_date; + """, + """ + SELECT + CAST(i.InvoiceDate AS date) AS sale_date, + SUM(il.UnitPrice * il.Quantity) AS revenue, + CAST(0 AS float) AS cost, + SUM(il.Quantity) AS quantity, + COUNT_BIG(DISTINCT i.InvoiceID) AS orders + FROM Sales.Invoices AS i + INNER JOIN Sales.InvoiceLines AS il ON il.InvoiceID = i.InvoiceID + GROUP BY CAST(i.InvoiceDate AS date) + ORDER BY sale_date; + """, +] + +AW_PRODUCT_PERFORMANCE_QUERIES = [ + """ + SELECT + p.ProductAlternateKey AS product_id, + p.EnglishProductName AS product_name, + COALESCE(sc.EnglishProductSubcategoryName, 'Unknown') AS category_name, + SUM(f.SalesAmount) AS revenue, + SUM(f.TotalProductCost) AS cost, + SUM(f.OrderQuantity) AS quantity, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales AS f + INNER JOIN dbo.DimProduct AS p ON p.ProductKey = f.ProductKey + LEFT JOIN dbo.DimProductSubcategory AS sc ON sc.ProductSubcategoryKey = p.ProductSubcategoryKey + GROUP BY p.ProductAlternateKey, p.EnglishProductName, sc.EnglishProductSubcategoryName + ORDER BY revenue DESC; + """, + """ + SELECT + CAST(ProductKey AS nvarchar(100)) AS product_id, + CAST(ProductKey AS nvarchar(100)) AS product_name, + 'Unknown' AS category_name, + SUM(SalesAmount) AS revenue, + SUM(TotalProductCost) AS cost, + SUM(OrderQuantity) AS quantity, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales + GROUP BY ProductKey + ORDER BY revenue DESC; + """, +] + +WWI_PRODUCT_PERFORMANCE_QUERIES = [ + """ + SELECT + CAST(s.StockItemID AS nvarchar(100)) AS product_id, + s.StockItemName AS product_name, + COALESCE(cg.StockGroupName, 'Unknown') AS category_name, + SUM(il.ExtendedPrice) AS revenue, + SUM(il.TaxAmount) AS cost, + SUM(il.Quantity) AS quantity, + COUNT_BIG(*) AS orders + FROM Sales.InvoiceLines AS il + INNER JOIN Warehouse.StockItems AS s ON s.StockItemID = il.StockItemID + LEFT JOIN Warehouse.StockItemStockGroups AS sig ON sig.StockItemID = s.StockItemID + LEFT JOIN Warehouse.StockGroups AS cg ON cg.StockGroupID = sig.StockGroupID + GROUP BY s.StockItemID, s.StockItemName, cg.StockGroupName + ORDER BY revenue DESC; + """, + """ + SELECT + CAST(il.StockItemID AS nvarchar(100)) AS product_id, + CAST(il.StockItemID AS nvarchar(100)) AS product_name, + 'Unknown' AS category_name, + SUM(il.UnitPrice * il.Quantity) AS revenue, + CAST(0 AS float) AS cost, + SUM(il.Quantity) AS quantity, + COUNT_BIG(*) AS orders + FROM Sales.InvoiceLines AS il + GROUP BY il.StockItemID + ORDER BY revenue DESC; + """, +] + +AW_CUSTOMER_QUERIES = [ + """ + SELECT + CAST(c.CustomerAlternateKey AS nvarchar(100)) AS customer_id, + c.FirstName + ' ' + c.LastName AS customer_name, + SUM(f.SalesAmount) AS revenue, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales AS f + INNER JOIN dbo.DimCustomer AS c ON c.CustomerKey = f.CustomerKey + GROUP BY c.CustomerAlternateKey, c.FirstName, c.LastName + ORDER BY revenue DESC; + """, + """ + SELECT + CAST(CustomerKey AS nvarchar(100)) AS customer_id, + CAST(CustomerKey AS nvarchar(100)) AS customer_name, + SUM(SalesAmount) AS revenue, + COUNT_BIG(*) AS orders + FROM dbo.FactInternetSales + GROUP BY CustomerKey + ORDER BY revenue DESC; + """, +] + +WWI_CUSTOMER_QUERIES = [ + """ + SELECT + CAST(c.CustomerID AS nvarchar(100)) AS customer_id, + c.CustomerName AS customer_name, + SUM(il.ExtendedPrice) AS revenue, + COUNT_BIG(DISTINCT i.InvoiceID) AS orders + FROM Sales.Invoices AS i + INNER JOIN Sales.InvoiceLines AS il ON il.InvoiceID = i.InvoiceID + INNER JOIN Sales.Customers AS c ON c.CustomerID = i.CustomerID + GROUP BY c.CustomerID, c.CustomerName + ORDER BY revenue DESC; + """, + """ + SELECT + CAST(i.CustomerID AS nvarchar(100)) AS customer_id, + CAST(i.CustomerID AS nvarchar(100)) AS customer_name, + SUM(il.UnitPrice * il.Quantity) AS revenue, + COUNT_BIG(DISTINCT i.InvoiceID) AS orders + FROM Sales.Invoices AS i + INNER JOIN Sales.InvoiceLines AS il ON il.InvoiceID = i.InvoiceID + GROUP BY i.CustomerID + ORDER BY revenue DESC; + """, +] diff --git a/backend/app/services/__init__.py b/backend/app/services/__init__.py new file mode 100644 index 0000000..de2060f --- /dev/null +++ b/backend/app/services/__init__.py @@ -0,0 +1 @@ +"""Business logic services.""" diff --git a/backend/app/services/analytics_service.py b/backend/app/services/analytics_service.py new file mode 100644 index 0000000..048cecd --- /dev/null +++ b/backend/app/services/analytics_service.py @@ -0,0 +1,373 @@ +from __future__ import annotations + +from dataclasses import dataclass +from datetime import date, timedelta +from math import sqrt + +import numpy as np +import pandas as pd +from opentelemetry import trace +from sklearn.linear_model import LinearRegression + +from app.core.config import settings +from app.services.persistence_service import PersistenceService +from app.services.warehouse_service import ReadOnlyWarehouseClient + + +@dataclass +class DashboardSnapshot: + kpis: dict + history: list[dict] + forecasts: list[dict] + rankings: list[dict] + recommendations: list[dict] + + +class AnalyticsService: + def __init__( + self, + warehouse_client: ReadOnlyWarehouseClient, + persistence_service: PersistenceService | None = None, + ) -> None: + self.warehouse_client = warehouse_client + self.persistence_service = persistence_service + self.tracer = trace.get_tracer(__name__) + + @staticmethod + def _normalize_frame(df: pd.DataFrame, date_col: str = "sale_date") -> pd.DataFrame: + normalized = df.copy() + normalized[date_col] = pd.to_datetime(normalized[date_col], errors="coerce") + for numeric in ("revenue", "cost", "quantity", "orders"): + if numeric in normalized.columns: + normalized[numeric] = pd.to_numeric( + normalized[numeric], errors="coerce" + ).fillna(0.0) + return normalized.dropna(subset=[date_col]) + + def load_sales_history(self, days_back: int | None = None) -> pd.DataFrame: + with self.tracer.start_as_current_span("analytics.load_sales_history"): + daily_sales = self._normalize_frame( + self.warehouse_client.fetch_daily_sales() + ) + days = days_back or settings.default_history_days + min_date = pd.Timestamp(date.today() - timedelta(days=days)) + filtered = daily_sales[daily_sales["sale_date"] >= min_date] + return ( + filtered.groupby("sale_date", as_index=False)[ + ["revenue", "cost", "quantity", "orders"] + ] + .sum() + .sort_values("sale_date") + ) + + def get_kpis(self) -> dict: + with self.tracer.start_as_current_span("analytics.kpis"): + sales = self.load_sales_history(days_back=180) + if sales.empty: + return { + "total_revenue": 0.0, + "gross_margin_pct": 0.0, + "total_quantity": 0.0, + "avg_order_value": 0.0, + "records_in_window": 0, + } + + total_revenue = float(sales["revenue"].sum()) + total_cost = float(sales["cost"].sum()) + total_orders = max(float(sales["orders"].sum()), 1.0) + margin_pct = ( + ((total_revenue - total_cost) / total_revenue * 100) + if total_revenue + else 0.0 + ) + return { + "total_revenue": round(total_revenue, 2), + "gross_margin_pct": round(margin_pct, 2), + "total_quantity": round(float(sales["quantity"].sum()), 2), + "avg_order_value": round(total_revenue / total_orders, 2), + "records_in_window": int(sales.shape[0]), + } + + def get_history_points(self, days_back: int | None = None) -> list[dict]: + with self.tracer.start_as_current_span("analytics.history_points"): + sales = self.load_sales_history(days_back=days_back) + if sales.empty: + return [] + return [ + { + "date": pd.Timestamp(row["sale_date"]).date().isoformat(), + "revenue": round(float(row["revenue"]), 2), + "cost": round(float(row["cost"]), 2), + "quantity": round(float(row["quantity"]), 2), + } + for _, row in sales.iterrows() + ] + + def get_forecast( + self, + horizon_days: int | None = None, + *, + trigger_source: str = "api.forecasts", + persist: bool = True, + ) -> list[dict]: + with self.tracer.start_as_current_span("analytics.forecast"): + horizon = horizon_days or settings.forecast_horizon_days + sales = self.load_sales_history(days_back=720) + if sales.empty: + return [] + + series = ( + sales.set_index("sale_date")["revenue"] + .sort_index() + .resample("D") + .sum() + .fillna(0.0) + ) + y = series.values + x = np.arange(len(y), dtype=float).reshape(-1, 1) + model = LinearRegression() + model.fit(x, y) + baseline = model.predict(x) + residual = y - baseline + sigma = float(np.std(residual)) if len(residual) > 1 else 0.0 + + weekday_baseline = series.groupby(series.index.weekday).mean() + overall_mean = float(series.mean()) if len(series) else 0.0 + weekday_factor = ( + weekday_baseline / overall_mean + if overall_mean > 0 + else pd.Series([1.0] * 7, index=range(7)) + ) + weekday_factor = weekday_factor.replace([np.inf, -np.inf], 1.0).fillna(1.0) + + future_x = np.arange(len(y), len(y) + horizon, dtype=float).reshape(-1, 1) + raw_forecast = model.predict(future_x) + + predictions: list[dict] = [] + start_date = series.index.max().date() + for idx, point in enumerate(raw_forecast, start=1): + day = start_date + timedelta(days=idx) + factor = ( + float(weekday_factor.loc[day.weekday()]) + if day.weekday() in weekday_factor.index + else 1.0 + ) + yhat = max(float(point) * factor, 0.0) + ci = 1.96 * sigma * sqrt(1 + idx / max(len(y), 1)) + predictions.append( + { + "date": day.isoformat(), + "predicted_revenue": round(yhat, 2), + "lower_bound": round(max(yhat - ci, 0.0), 2), + "upper_bound": round(yhat + ci, 2), + } + ) + + if persist and self.persistence_service is not None: + span_context = trace.get_current_span().get_span_context() + trace_id = ( + f"{span_context.trace_id:032x}" if span_context.is_valid else None + ) + span_id = ( + f"{span_context.span_id:016x}" if span_context.is_valid else None + ) + self.persistence_service.record_forecast_run( + horizon_days=horizon, + payload=predictions, + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + ) + + return predictions + + def get_rankings( + self, + top_n: int | None = None, + *, + trigger_source: str = "api.rankings", + persist: bool = True, + ) -> list[dict]: + with self.tracer.start_as_current_span("analytics.rankings"): + n = top_n or settings.ranking_default_top_n + products = self.warehouse_client.fetch_product_performance().copy() + if products.empty: + return [] + + products["revenue"] = pd.to_numeric( + products["revenue"], errors="coerce" + ).fillna(0.0) + products["cost"] = pd.to_numeric(products["cost"], errors="coerce").fillna( + 0.0 + ) + products["quantity"] = pd.to_numeric( + products["quantity"], errors="coerce" + ).fillna(0.0) + products["orders"] = pd.to_numeric( + products["orders"], errors="coerce" + ).fillna(0.0) + + grouped = ( + products.groupby( + ["product_id", "product_name", "category_name"], as_index=False + )[["revenue", "cost", "quantity", "orders"]] + .sum() + .sort_values("revenue", ascending=False) + ) + + grouped["margin_pct"] = np.where( + grouped["revenue"] > 0, + ((grouped["revenue"] - grouped["cost"]) / grouped["revenue"]) * 100, + 0.0, + ) + + revenue_norm = grouped["revenue"] / max( + float(grouped["revenue"].max()), 1.0 + ) + margin_norm = (grouped["margin_pct"] + 100) / 200 + velocity_norm = grouped["quantity"] / max( + float(grouped["quantity"].max()), 1.0 + ) + grouped["score"] = ( + (0.55 * revenue_norm) + + (0.30 * margin_norm.clip(0, 1)) + + (0.15 * velocity_norm) + ) + ranked = ( + grouped.sort_values("score", ascending=False) + .head(n) + .reset_index(drop=True) + ) + + result = [ + { + "rank": int(idx + 1), + "product_id": str(row["product_id"]), + "product_name": str(row["product_name"]), + "category": str(row["category_name"]), + "revenue": round(float(row["revenue"]), 2), + "margin_pct": round(float(row["margin_pct"]), 2), + "score": round(float(row["score"]) * 100, 2), + } + for idx, row in ranked.iterrows() + ] + + if persist and self.persistence_service is not None: + span_context = trace.get_current_span().get_span_context() + trace_id = ( + f"{span_context.trace_id:032x}" if span_context.is_valid else None + ) + span_id = ( + f"{span_context.span_id:016x}" if span_context.is_valid else None + ) + self.persistence_service.record_ranking_run( + top_n=n, + payload=result, + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + ) + + return result + + def get_recommendations( + self, + rankings: list[dict] | None = None, + *, + trigger_source: str = "api.recommendations", + persist: bool = True, + ) -> list[dict]: + with self.tracer.start_as_current_span("analytics.recommendations"): + ranking_rows = ( + rankings + if rankings is not None + else self.get_rankings( + top_n=20, trigger_source=trigger_source, persist=persist + ) + ) + customers = self.warehouse_client.fetch_customer_performance().copy() + if customers.empty: + customers = pd.DataFrame(columns=["customer_name", "revenue", "orders"]) + + recommendations: list[dict] = [] + + if ranking_rows: + champion = ranking_rows[0] + recommendations.append( + { + "title": "Double down on champion SKU", + "priority": "high", + "summary": ( + f"Promote '{champion['product_name']}' with score {champion['score']:.2f} " + f"and margin {champion['margin_pct']:.2f}%." + ), + } + ) + + low_margin = next( + (row for row in ranking_rows if row["margin_pct"] < 10), None + ) + if low_margin: + recommendations.append( + { + "title": "Review pricing for low-margin bestseller", + "priority": "medium", + "summary": ( + f"'{low_margin['product_name']}' has strong rank but only " + f"{low_margin['margin_pct']:.2f}% margin." + ), + } + ) + + if not customers.empty: + customers["revenue"] = pd.to_numeric( + customers["revenue"], errors="coerce" + ).fillna(0.0) + customers["orders"] = pd.to_numeric( + customers["orders"], errors="coerce" + ).fillna(0.0) + customer = customers.sort_values("revenue", ascending=False).iloc[0] + recommendations.append( + { + "title": "Protect top customer relationship", + "priority": "high", + "summary": ( + f"Prioritize retention for '{customer['customer_name']}' with " + f"{float(customer['orders']):.0f} orders and {float(customer['revenue']):.2f} revenue." + ), + } + ) + + result = recommendations[:5] + if persist and self.persistence_service is not None: + span_context = trace.get_current_span().get_span_context() + trace_id = ( + f"{span_context.trace_id:032x}" if span_context.is_valid else None + ) + span_id = ( + f"{span_context.span_id:016x}" if span_context.is_valid else None + ) + self.persistence_service.record_recommendation_run( + payload=result, + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + ) + return result + + def get_dashboard(self) -> DashboardSnapshot: + with self.tracer.start_as_current_span("analytics.dashboard"): + rankings = self.get_rankings(trigger_source="api.dashboard", persist=True) + return DashboardSnapshot( + kpis=self.get_kpis(), + history=self.get_history_points(), + forecasts=self.get_forecast( + trigger_source="api.dashboard", persist=True + ), + rankings=rankings, + recommendations=self.get_recommendations( + rankings=rankings, + trigger_source="api.dashboard", + persist=True, + ), + ) diff --git a/backend/app/services/persistence_service.py b/backend/app/services/persistence_service.py new file mode 100644 index 0000000..02b4f5f --- /dev/null +++ b/backend/app/services/persistence_service.py @@ -0,0 +1,281 @@ +from __future__ import annotations + +import logging +from time import perf_counter + +from opentelemetry import metrics, trace +from sqlalchemy import desc, select +from sqlalchemy.exc import SQLAlchemyError +from sqlalchemy.orm import Session, sessionmaker + +from app.db.postgres_models import AuditLog, ForecastRun, RankingRun, RecommendationRun + +LOGGER = logging.getLogger(__name__) + + +class PersistenceService: + def __init__(self, session_factory: sessionmaker[Session]) -> None: + self.session_factory = session_factory + self.tracer = trace.get_tracer(__name__) + self.meter = metrics.get_meter(__name__) + self.write_counter = self.meter.create_counter( + name="postgres_persist_writes_total", + description="Total writes to app persistence PostgreSQL", + ) + self.write_latency = self.meter.create_histogram( + name="postgres_persist_write_latency_ms", + unit="ms", + description="Latency of app persistence write operations", + ) + + @staticmethod + def _to_audit_dict(row: AuditLog) -> dict: + return { + "id": row.id, + "created_at": row.created_at.isoformat(), + "method": row.method, + "path": row.path, + "query_string": row.query_string, + "status_code": row.status_code, + "duration_ms": row.duration_ms, + "trace_id": row.trace_id, + "span_id": row.span_id, + "client_ip": row.client_ip, + "user_agent": row.user_agent, + "details": row.details, + } + + @staticmethod + def _to_forecast_dict(row: ForecastRun) -> dict: + return { + "id": row.id, + "created_at": row.created_at.isoformat(), + "horizon_days": row.horizon_days, + "point_count": row.point_count, + "trigger_source": row.trigger_source, + "trace_id": row.trace_id, + "span_id": row.span_id, + "payload": row.payload, + } + + @staticmethod + def _to_ranking_dict(row: RankingRun) -> dict: + return { + "id": row.id, + "created_at": row.created_at.isoformat(), + "top_n": row.top_n, + "item_count": row.item_count, + "trigger_source": row.trigger_source, + "trace_id": row.trace_id, + "span_id": row.span_id, + "payload": row.payload, + } + + @staticmethod + def _to_recommendation_dict(row: RecommendationRun) -> dict: + return { + "id": row.id, + "created_at": row.created_at.isoformat(), + "item_count": row.item_count, + "trigger_source": row.trigger_source, + "trace_id": row.trace_id, + "span_id": row.span_id, + "payload": row.payload, + } + + def record_audit_log( + self, + *, + method: str, + path: str, + query_string: str, + status_code: int, + duration_ms: float, + trace_id: str | None, + span_id: str | None, + client_ip: str | None, + user_agent: str | None, + details: dict | None = None, + ) -> None: + started = perf_counter() + with self.tracer.start_as_current_span("persist.audit_log"): + try: + with self.session_factory() as session: + session.add( + AuditLog( + method=method, + path=path, + query_string=query_string[:1000], + status_code=status_code, + duration_ms=duration_ms, + trace_id=trace_id, + span_id=span_id, + client_ip=client_ip, + user_agent=user_agent, + details=details or {}, + ) + ) + session.commit() + self.write_counter.add( + 1, attributes={"entity": "audit", "status": "ok"} + ) + except SQLAlchemyError as exc: + LOGGER.exception("Failed to persist audit log: %s", exc) + self.write_counter.add( + 1, attributes={"entity": "audit", "status": "error"} + ) + finally: + self.write_latency.record( + (perf_counter() - started) * 1000, + attributes={"entity": "audit"}, + ) + + def record_forecast_run( + self, + *, + horizon_days: int, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + started = perf_counter() + with self.tracer.start_as_current_span("persist.forecast_run"): + try: + with self.session_factory() as session: + session.add( + ForecastRun( + horizon_days=horizon_days, + point_count=len(payload), + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + payload=payload, + ) + ) + session.commit() + self.write_counter.add( + 1, attributes={"entity": "forecast", "status": "ok"} + ) + except SQLAlchemyError as exc: + LOGGER.exception("Failed to persist forecast run: %s", exc) + self.write_counter.add( + 1, attributes={"entity": "forecast", "status": "error"} + ) + finally: + self.write_latency.record( + (perf_counter() - started) * 1000, + attributes={"entity": "forecast"}, + ) + + def record_ranking_run( + self, + *, + top_n: int, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + started = perf_counter() + with self.tracer.start_as_current_span("persist.ranking_run"): + try: + with self.session_factory() as session: + session.add( + RankingRun( + top_n=top_n, + item_count=len(payload), + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + payload=payload, + ) + ) + session.commit() + self.write_counter.add( + 1, attributes={"entity": "ranking", "status": "ok"} + ) + except SQLAlchemyError as exc: + LOGGER.exception("Failed to persist ranking run: %s", exc) + self.write_counter.add( + 1, attributes={"entity": "ranking", "status": "error"} + ) + finally: + self.write_latency.record( + (perf_counter() - started) * 1000, + attributes={"entity": "ranking"}, + ) + + def record_recommendation_run( + self, + *, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + started = perf_counter() + with self.tracer.start_as_current_span("persist.recommendation_run"): + try: + with self.session_factory() as session: + session.add( + RecommendationRun( + item_count=len(payload), + trigger_source=trigger_source, + trace_id=trace_id, + span_id=span_id, + payload=payload, + ) + ) + session.commit() + self.write_counter.add( + 1, attributes={"entity": "recommendation", "status": "ok"} + ) + except SQLAlchemyError as exc: + LOGGER.exception("Failed to persist recommendation run: %s", exc) + self.write_counter.add( + 1, attributes={"entity": "recommendation", "status": "error"} + ) + finally: + self.write_latency.record( + (perf_counter() - started) * 1000, + attributes={"entity": "recommendation"}, + ) + + def list_audit_logs(self, limit: int) -> list[dict]: + with self.tracer.start_as_current_span("persist.list_audit_logs"): + with self.session_factory() as session: + rows = session.execute( + select(AuditLog).order_by(desc(AuditLog.created_at)).limit(limit) + ).scalars() + return [self._to_audit_dict(row) for row in rows] + + def list_forecast_runs(self, limit: int) -> list[dict]: + with self.tracer.start_as_current_span("persist.list_forecast_runs"): + with self.session_factory() as session: + rows = session.execute( + select(ForecastRun) + .order_by(desc(ForecastRun.created_at)) + .limit(limit) + ).scalars() + return [self._to_forecast_dict(row) for row in rows] + + def list_ranking_runs(self, limit: int) -> list[dict]: + with self.tracer.start_as_current_span("persist.list_ranking_runs"): + with self.session_factory() as session: + rows = session.execute( + select(RankingRun) + .order_by(desc(RankingRun.created_at)) + .limit(limit) + ).scalars() + return [self._to_ranking_dict(row) for row in rows] + + def list_recommendation_runs(self, limit: int) -> list[dict]: + with self.tracer.start_as_current_span("persist.list_recommendation_runs"): + with self.session_factory() as session: + rows = session.execute( + select(RecommendationRun) + .order_by(desc(RecommendationRun.created_at)) + .limit(limit) + ).scalars() + return [self._to_recommendation_dict(row) for row in rows] diff --git a/backend/app/services/warehouse_service.py b/backend/app/services/warehouse_service.py new file mode 100644 index 0000000..9c2ce3a --- /dev/null +++ b/backend/app/services/warehouse_service.py @@ -0,0 +1,101 @@ +from __future__ import annotations + +import hashlib +import logging +from collections.abc import Sequence +from time import perf_counter + +import pandas as pd +from opentelemetry import metrics, trace +from sqlalchemy import text +from sqlalchemy.engine import Engine +from sqlalchemy.exc import SQLAlchemyError + +from app.db import queries + +LOGGER = logging.getLogger(__name__) + + +class ReadOnlyWarehouseClient: + def __init__(self, engines: dict[str, Engine]) -> None: + self.engines = engines + self.tracer = trace.get_tracer(__name__) + self.meter = metrics.get_meter(__name__) + self.query_counter = self.meter.create_counter( + name="warehouse_queries_total", + description="Total warehouse query executions", + ) + self.query_latency = self.meter.create_histogram( + name="warehouse_query_latency_ms", + unit="ms", + description="Warehouse query latency", + ) + + def _validate_read_only_query(self, sql: str) -> None: + normalized = sql.strip().lower() + if not (normalized.startswith("select") or normalized.startswith("with")): + raise ValueError("Only read-only SELECT/CTE SQL statements are allowed.") + + def _run_query_list( + self, source: str, sql_candidates: Sequence[str] + ) -> pd.DataFrame: + engine = self.engines[source] + last_error: Exception | None = None + + for candidate in sql_candidates: + self._validate_read_only_query(candidate) + query_hash = hashlib.sha256(candidate.encode("utf-8")).hexdigest()[:12] + with self.tracer.start_as_current_span("warehouse.query") as span: + span.set_attribute("db.system", "mssql") + span.set_attribute("db.source", source) + span.set_attribute("db.query.hash", query_hash) + started = perf_counter() + try: + with engine.connect() as conn: + with self.tracer.start_as_current_span( + "warehouse.query.execute" + ): + df = pd.read_sql_query(sql=text(candidate), con=conn) + elapsed_ms = (perf_counter() - started) * 1000 + self.query_latency.record(elapsed_ms, attributes={"source": source}) + self.query_counter.add( + 1, attributes={"source": source, "status": "ok"} + ) + return df + except SQLAlchemyError as exc: + last_error = exc + elapsed_ms = (perf_counter() - started) * 1000 + self.query_latency.record(elapsed_ms, attributes={"source": source}) + self.query_counter.add( + 1, attributes={"source": source, "status": "error"} + ) + LOGGER.warning( + "Query failed for %s with hash %s: %s", source, query_hash, exc + ) + + if last_error is not None: + raise RuntimeError( + f"All query candidates failed for source '{source}'." + ) from last_error + return pd.DataFrame() + + def fetch_daily_sales(self) -> pd.DataFrame: + aw = self._run_query_list("aw", queries.AW_DAILY_SALES_QUERIES) + aw["source"] = "AdventureWorks2022DWH" + wwi = self._run_query_list("wwi", queries.WWI_DAILY_SALES_QUERIES) + wwi["source"] = "WorldWideImporters" + return pd.concat([aw, wwi], ignore_index=True) + + def fetch_product_performance(self) -> pd.DataFrame: + aw = self._run_query_list("aw", queries.AW_PRODUCT_PERFORMANCE_QUERIES) + aw["source"] = "AdventureWorks2022DWH" + wwi = self._run_query_list("wwi", queries.WWI_PRODUCT_PERFORMANCE_QUERIES) + wwi["source"] = "WorldWideImporters" + return pd.concat([aw, wwi], ignore_index=True) + + def fetch_customer_performance(self) -> pd.DataFrame: + aw = self._run_query_list("aw", queries.AW_CUSTOMER_QUERIES) + aw["source"] = "AdventureWorks2022DWH" + wwi = self._run_query_list("wwi", queries.WWI_CUSTOMER_QUERIES) + wwi["source"] = "WorldWideImporters" + return pd.concat([aw, wwi], ignore_index=True) diff --git a/backend/microservices/__init__.py b/backend/microservices/__init__.py new file mode 100644 index 0000000..a6b56f1 --- /dev/null +++ b/backend/microservices/__init__.py @@ -0,0 +1 @@ +"""Microservices package for BI platform.""" diff --git a/backend/microservices/analytics/__init__.py b/backend/microservices/analytics/__init__.py new file mode 100644 index 0000000..6528a9f --- /dev/null +++ b/backend/microservices/analytics/__init__.py @@ -0,0 +1 @@ +"""Analytics and forecasting microservice.""" diff --git a/backend/microservices/analytics/main.py b/backend/microservices/analytics/main.py new file mode 100644 index 0000000..a000ad0 --- /dev/null +++ b/backend/microservices/analytics/main.py @@ -0,0 +1,260 @@ +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager +from contextvars import ContextVar + +import httpx +import pandas as pd +from fastapi import Depends, FastAPI, Query, Request, Response + +from app.core.config import settings +from app.core.otel import ( + TelemetryProviders, + configure_otel, + instrument_fastapi, + instrument_httpx_clients, + shutdown_otel, +) +from app.core.security import InternalPrincipal, require_internal_principal +from app.services.analytics_service import AnalyticsService +from microservices.common.http import current_trace_headers, with_internal_service_token + +logging.basicConfig(level=settings.log_level) +LOGGER = logging.getLogger(__name__) + +FORWARD_HEADERS: ContextVar[dict[str, str]] = ContextVar("forward_headers", default={}) + + +class QueryWarehouseClient: + def __init__(self, client: httpx.Client, query_service_url: str) -> None: + self.client = client + self.query_service_url = query_service_url.rstrip("/") + + def _fetch(self, path: str) -> pd.DataFrame: + response = self.client.get( + f"{self.query_service_url}{path}", + headers=FORWARD_HEADERS.get(), + timeout=settings.request_timeout_seconds, + ) + response.raise_for_status() + return pd.DataFrame(response.json()) + + def fetch_daily_sales(self) -> pd.DataFrame: + return self._fetch("/internal/daily-sales") + + def fetch_product_performance(self) -> pd.DataFrame: + return self._fetch("/internal/product-performance") + + def fetch_customer_performance(self) -> pd.DataFrame: + return self._fetch("/internal/customer-performance") + + +class PersistenceProxy: + def __init__(self, client: httpx.Client, persistence_service_url: str) -> None: + self.client = client + self.persistence_service_url = persistence_service_url.rstrip("/") + + def _post(self, path: str, payload: dict) -> None: + response = self.client.post( + f"{self.persistence_service_url}{path}", + headers=FORWARD_HEADERS.get(), + json=payload, + timeout=settings.request_timeout_seconds, + ) + response.raise_for_status() + + def record_forecast_run( + self, + *, + horizon_days: int, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + self._post( + "/internal/forecast-runs", + { + "horizon_days": horizon_days, + "payload": payload, + "trigger_source": trigger_source, + "trace_id": trace_id, + "span_id": span_id, + }, + ) + + def record_ranking_run( + self, + *, + top_n: int, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + self._post( + "/internal/ranking-runs", + { + "top_n": top_n, + "payload": payload, + "trigger_source": trigger_source, + "trace_id": trace_id, + "span_id": span_id, + }, + ) + + def record_recommendation_run( + self, + *, + payload: list[dict], + trigger_source: str, + trace_id: str | None, + span_id: str | None, + ) -> None: + self._post( + "/internal/recommendation-runs", + { + "payload": payload, + "trigger_source": trigger_source, + "trace_id": trace_id, + "span_id": span_id, + }, + ) + + +@asynccontextmanager +async def lifespan(app: FastAPI): + telemetry: TelemetryProviders = configure_otel(settings) + instrument_httpx_clients() + + http_client = httpx.Client() + warehouse_client = QueryWarehouseClient(http_client, settings.query_service_url) + persistence_proxy = PersistenceProxy(http_client, settings.persistence_service_url) + app.state.http_client = http_client + app.state.analytics = AnalyticsService(warehouse_client, persistence_proxy) + LOGGER.info("Analytics service ready") + yield + http_client.close() + shutdown_otel(telemetry) + + +app = FastAPI(title="analytics-service", version="0.1.0", lifespan=lifespan) +instrument_fastapi(app) + + +def _analytics() -> AnalyticsService: + return app.state.analytics + + +def _with_request_headers(request: Request): + headers = current_trace_headers() + incoming_internal = request.headers.get("x-internal-service-token") + if incoming_internal: + headers = with_internal_service_token(headers, incoming_internal) + token = FORWARD_HEADERS.set(headers) + return token + + +@app.get("/internal/health") +def health(request: Request, response: Response) -> dict: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return {"status": "ok", "service": "analytics-service"} + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/kpis") +def kpis( + request: Request, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return _analytics().get_kpis() + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/history") +def history( + request: Request, + response: Response, + days_back: int = Query(default=settings.default_history_days, ge=30, le=1460), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return _analytics().get_history_points(days_back=days_back) + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/forecasts") +def forecasts( + request: Request, + response: Response, + days: int = Query(default=settings.forecast_horizon_days, ge=7, le=180), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return _analytics().get_forecast( + horizon_days=days, trigger_source="analytics.api.forecasts", persist=True + ) + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/rankings") +def rankings( + request: Request, + response: Response, + top_n: int = Query(default=settings.ranking_default_top_n, ge=3, le=100), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return _analytics().get_rankings( + top_n=top_n, trigger_source="analytics.api.rankings", persist=True + ) + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/recommendations") +def recommendations( + request: Request, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + return _analytics().get_recommendations( + trigger_source="analytics.api.recommendations", persist=True + ) + finally: + FORWARD_HEADERS.reset(token) + + +@app.get("/internal/dashboard") +def dashboard( + request: Request, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + token = _with_request_headers(request) + try: + response.headers.update(current_trace_headers()) + snapshot = _analytics().get_dashboard() + return snapshot.__dict__ + finally: + FORWARD_HEADERS.reset(token) diff --git a/backend/microservices/api_gateway/__init__.py b/backend/microservices/api_gateway/__init__.py new file mode 100644 index 0000000..ddd8c90 --- /dev/null +++ b/backend/microservices/api_gateway/__init__.py @@ -0,0 +1 @@ +"""Public API gateway microservice.""" diff --git a/backend/microservices/api_gateway/main.py b/backend/microservices/api_gateway/main.py new file mode 100644 index 0000000..36b68cf --- /dev/null +++ b/backend/microservices/api_gateway/main.py @@ -0,0 +1,326 @@ +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager +from time import perf_counter + +import httpx +from fastapi import Depends, FastAPI, HTTPException, Query, Request, Response +from fastapi.middleware.cors import CORSMiddleware + +from app.core.config import settings +from app.core.otel import ( + TelemetryProviders, + configure_otel, + instrument_fastapi, + instrument_httpx_clients, + shutdown_otel, +) +from app.core.security import ( + FrontendPrincipal, + get_internal_token_manager, + require_frontend_principal, +) +from microservices.common.http import current_trace_headers, with_internal_service_token + +logging.basicConfig(level=settings.log_level) +LOGGER = logging.getLogger(__name__) + + +def _raise_upstream(exc: httpx.HTTPStatusError) -> None: + detail = exc.response.text + raise HTTPException(status_code=exc.response.status_code, detail=detail) from exc + + +@asynccontextmanager +async def lifespan(app: FastAPI): + telemetry: TelemetryProviders = configure_otel(settings) + instrument_httpx_clients() + app.state.http_client = httpx.Client() + LOGGER.info("API gateway ready") + yield + app.state.http_client.close() + shutdown_otel(telemetry) + + +app = FastAPI(title="api-gateway-service", version="0.1.0", lifespan=lifespan) +instrument_fastapi(app) +app.add_middleware( + CORSMiddleware, + allow_origins=settings.cors_origins_list, + allow_credentials=True, + allow_methods=["GET", "POST"], + allow_headers=["*"], + expose_headers=["x-trace-id", "x-span-id"], +) + + +@app.middleware("http") +async def security_headers(request: Request, call_next): + response = await call_next(request) + response.headers["X-Content-Type-Options"] = "nosniff" + response.headers["X-Frame-Options"] = "DENY" + response.headers["Referrer-Policy"] = "no-referrer" + response.headers["Permissions-Policy"] = "camera=(), microphone=(), geolocation=()" + response.headers["X-Permitted-Cross-Domain-Policies"] = "none" + response.headers["Strict-Transport-Security"] = ( + "max-age=31536000; includeSubDomains" + ) + response.headers["Cache-Control"] = "no-store" + response.headers["Pragma"] = "no-cache" + return response + + +def _client() -> httpx.Client: + return app.state.http_client + + +def _upstream_headers(principal: FrontendPrincipal) -> dict[str, str]: + token = get_internal_token_manager().mint( + subject=principal.subject, + scopes=principal.scopes, + source_service="api-gateway", + ) + return with_internal_service_token(current_trace_headers(), token) + + +def _get_json(url: str, principal: FrontendPrincipal) -> dict | list: + try: + response = _client().get( + url, + headers=_upstream_headers(principal), + timeout=settings.request_timeout_seconds, + ) + response.raise_for_status() + return response.json() + except httpx.HTTPStatusError as exc: + _raise_upstream(exc) + + +def _audit_payload( + request: Request, response: Response, started: float, principal: FrontendPrincipal +) -> dict: + headers = current_trace_headers() + return { + "method": request.method, + "path": request.url.path, + "query_string": request.url.query, + "status_code": response.status_code, + "duration_ms": (perf_counter() - started) * 1000, + "trace_id": headers.get("x-trace-id"), + "span_id": headers.get("x-span-id"), + "client_ip": request.client.host if request.client else None, + "user_agent": request.headers.get("user-agent"), + "details": { + "subject": principal.subject, + "scopes": principal.scopes, + }, + } + + +def _persist_audit( + request: Request, response: Response, started: float, principal: FrontendPrincipal +) -> None: + if not request.url.path.startswith("/api/"): + return + try: + _client().post( + f"{settings.persistence_service_url.rstrip('/')}/internal/audit-logs", + headers=_upstream_headers(principal), + json=_audit_payload(request, response, started, principal), + timeout=settings.request_timeout_seconds, + ).raise_for_status() + except httpx.HTTPError as exc: + LOGGER.warning("Audit persistence failed: %s", exc) + + +@app.get("/api/health") +def health(response: Response) -> dict: + response.headers.update(current_trace_headers()) + return {"status": "ok", "service": "api-gateway-service"} + + +@app.get("/api/telemetry/status") +def telemetry_status( + request: Request, + response: Response, + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> dict: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = { + "status": "instrumented", + "service_name": "api-gateway-service", + "collector_endpoint": settings.otel_collector_endpoint, + "trace_id": current_trace_headers().get("x-trace-id"), + "span_id": current_trace_headers().get("x-span-id"), + "trace_headers": ["traceparent", "tracestate", "baggage", "x-trace-id"], + "subject": principal.subject, + } + _persist_audit(request, response, started, principal) + return payload + + +@app.get("/api/kpis") +def kpis( + request: Request, + response: Response, + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> dict: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/kpis", principal + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/history") +def history( + request: Request, + response: Response, + days_back: int = Query(default=settings.default_history_days, ge=30, le=1460), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/history?days_back={days_back}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/forecasts") +def forecasts( + request: Request, + response: Response, + days: int = Query(default=settings.forecast_horizon_days, ge=7, le=180), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/forecasts?days={days}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/rankings") +def rankings( + request: Request, + response: Response, + top_n: int = Query(default=settings.ranking_default_top_n, ge=3, le=100), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/rankings?top_n={top_n}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/recommendations") +def recommendations( + request: Request, + response: Response, + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/recommendations", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/dashboard") +def dashboard( + request: Request, + response: Response, + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> dict: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.analytics_service_url.rstrip('/')}/internal/dashboard", principal + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/storage/audit-logs") +def storage_audit_logs( + request: Request, + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.persistence_service_url.rstrip('/')}/internal/audit-logs?limit={limit}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/storage/forecasts") +def storage_forecasts( + request: Request, + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.persistence_service_url.rstrip('/')}/internal/forecast-runs?limit={limit}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/storage/rankings") +def storage_rankings( + request: Request, + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.persistence_service_url.rstrip('/')}/internal/ranking-runs?limit={limit}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] + + +@app.get("/api/storage/recommendations") +def storage_recommendations( + request: Request, + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + principal: FrontendPrincipal = Depends(require_frontend_principal), +) -> list[dict]: + started = perf_counter() + response.headers.update(current_trace_headers()) + payload = _get_json( + f"{settings.persistence_service_url.rstrip('/')}/internal/recommendation-runs?limit={limit}", + principal, + ) + _persist_audit(request, response, started, principal) + return payload # type: ignore[return-value] diff --git a/backend/microservices/bi_query/__init__.py b/backend/microservices/bi_query/__init__.py new file mode 100644 index 0000000..5c794df --- /dev/null +++ b/backend/microservices/bi_query/__init__.py @@ -0,0 +1 @@ +"""Read-only MSSQL query microservice.""" diff --git a/backend/microservices/bi_query/main.py b/backend/microservices/bi_query/main.py new file mode 100644 index 0000000..3642795 --- /dev/null +++ b/backend/microservices/bi_query/main.py @@ -0,0 +1,85 @@ +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager + +import pandas as pd +from fastapi import Depends, FastAPI, Response + +from app.core.config import settings +from app.core.otel import ( + TelemetryProviders, + configure_otel, + instrument_fastapi, + instrument_sqlalchemy_engines, + shutdown_otel, +) +from app.core.security import InternalPrincipal, require_internal_principal +from app.db.engine import create_warehouse_engines, dispose_engines +from app.services.warehouse_service import ReadOnlyWarehouseClient +from microservices.common.http import current_trace_headers + +logging.basicConfig(level=settings.log_level) +LOGGER = logging.getLogger(__name__) + + +def _frame_to_rows(df: pd.DataFrame) -> list[dict]: + rows: list[dict] = [] + for _, row in df.iterrows(): + payload: dict = {} + for key, value in row.items(): + if hasattr(value, "isoformat"): + payload[str(key)] = value.isoformat() + else: + payload[str(key)] = value + rows.append(payload) + return rows + + +@asynccontextmanager +async def lifespan(app: FastAPI): + telemetry: TelemetryProviders = configure_otel(settings) + engines = create_warehouse_engines() + instrument_sqlalchemy_engines(engines) + app.state.query_client = ReadOnlyWarehouseClient(engines) + LOGGER.info("BI query service ready with read-only MSSQL engines") + yield + dispose_engines(engines) + shutdown_otel(telemetry) + + +app = FastAPI(title="bi-query-service", version="0.1.0", lifespan=lifespan) +instrument_fastapi(app) + + +@app.get("/internal/health") +def health(response: Response) -> dict: + response.headers.update(current_trace_headers()) + return {"status": "ok", "service": "bi-query-service"} + + +@app.get("/internal/daily-sales") +def daily_sales( + response: Response, _auth: InternalPrincipal = Depends(require_internal_principal) +) -> list[dict]: + response.headers.update(current_trace_headers()) + client: ReadOnlyWarehouseClient = app.state.query_client + return _frame_to_rows(client.fetch_daily_sales()) + + +@app.get("/internal/product-performance") +def product_performance( + response: Response, _auth: InternalPrincipal = Depends(require_internal_principal) +) -> list[dict]: + response.headers.update(current_trace_headers()) + client: ReadOnlyWarehouseClient = app.state.query_client + return _frame_to_rows(client.fetch_product_performance()) + + +@app.get("/internal/customer-performance") +def customer_performance( + response: Response, _auth: InternalPrincipal = Depends(require_internal_principal) +) -> list[dict]: + response.headers.update(current_trace_headers()) + client: ReadOnlyWarehouseClient = app.state.query_client + return _frame_to_rows(client.fetch_customer_performance()) diff --git a/backend/microservices/common/__init__.py b/backend/microservices/common/__init__.py new file mode 100644 index 0000000..966b495 --- /dev/null +++ b/backend/microservices/common/__init__.py @@ -0,0 +1 @@ +"""Shared helpers for microservices.""" diff --git a/backend/microservices/common/http.py b/backend/microservices/common/http.py new file mode 100644 index 0000000..5b8d1ee --- /dev/null +++ b/backend/microservices/common/http.py @@ -0,0 +1,19 @@ +from __future__ import annotations + +from opentelemetry import trace + + +def current_trace_headers() -> dict[str, str]: + span_context = trace.get_current_span().get_span_context() + if not span_context.is_valid: + return {} + return { + "x-trace-id": f"{span_context.trace_id:032x}", + "x-span-id": f"{span_context.span_id:016x}", + } + + +def with_internal_service_token(headers: dict[str, str], token: str) -> dict[str, str]: + merged = dict(headers) + merged["x-internal-service-token"] = token + return merged diff --git a/backend/microservices/persistence/__init__.py b/backend/microservices/persistence/__init__.py new file mode 100644 index 0000000..0fcee13 --- /dev/null +++ b/backend/microservices/persistence/__init__.py @@ -0,0 +1 @@ +"""PostgreSQL persistence microservice.""" diff --git a/backend/microservices/persistence/main.py b/backend/microservices/persistence/main.py new file mode 100644 index 0000000..215330b --- /dev/null +++ b/backend/microservices/persistence/main.py @@ -0,0 +1,176 @@ +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager + +from fastapi import Depends, FastAPI, Query, Response +from pydantic import BaseModel, Field + +from app.core.config import settings +from app.core.otel import ( + TelemetryProviders, + configure_otel, + instrument_fastapi, + instrument_sqlalchemy_engines, + shutdown_otel, +) +from app.core.security import InternalPrincipal, require_internal_principal +from app.db.postgres import ( + create_postgres_engine, + create_postgres_session_factory, + initialize_postgres_schema, +) +from app.services.persistence_service import PersistenceService +from microservices.common.http import current_trace_headers + +logging.basicConfig(level=settings.log_level) +LOGGER = logging.getLogger(__name__) + + +class AuditLogIn(BaseModel): + method: str + path: str + query_string: str = "" + status_code: int + duration_ms: float + trace_id: str | None = None + span_id: str | None = None + client_ip: str | None = None + user_agent: str | None = None + details: dict = Field(default_factory=dict) + + +class ForecastRunIn(BaseModel): + horizon_days: int + payload: list[dict] + trigger_source: str + trace_id: str | None = None + span_id: str | None = None + + +class RankingRunIn(BaseModel): + top_n: int + payload: list[dict] + trigger_source: str + trace_id: str | None = None + span_id: str | None = None + + +class RecommendationRunIn(BaseModel): + payload: list[dict] + trigger_source: str + trace_id: str | None = None + span_id: str | None = None + + +@asynccontextmanager +async def lifespan(app: FastAPI): + telemetry: TelemetryProviders = configure_otel(settings) + engine = create_postgres_engine() + initialize_postgres_schema(engine) + instrument_sqlalchemy_engines({"appdb": engine}) + app.state.persistence_service = PersistenceService( + create_postgres_session_factory(engine) + ) + LOGGER.info("Persistence service ready with PostgreSQL") + yield + engine.dispose() + shutdown_otel(telemetry) + + +app = FastAPI(title="persistence-service", version="0.1.0", lifespan=lifespan) +instrument_fastapi(app) + + +def _service() -> PersistenceService: + return app.state.persistence_service + + +@app.get("/internal/health") +def health(response: Response) -> dict: + response.headers.update(current_trace_headers()) + return {"status": "ok", "service": "persistence-service"} + + +@app.post("/internal/audit-logs") +def create_audit_log( + payload: AuditLogIn, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + response.headers.update(current_trace_headers()) + _service().record_audit_log(**payload.model_dump()) + return {"status": "ok"} + + +@app.post("/internal/forecast-runs") +def create_forecast_run( + payload: ForecastRunIn, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + response.headers.update(current_trace_headers()) + _service().record_forecast_run(**payload.model_dump()) + return {"status": "ok"} + + +@app.post("/internal/ranking-runs") +def create_ranking_run( + payload: RankingRunIn, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + response.headers.update(current_trace_headers()) + _service().record_ranking_run(**payload.model_dump()) + return {"status": "ok"} + + +@app.post("/internal/recommendation-runs") +def create_recommendation_run( + payload: RecommendationRunIn, + response: Response, + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> dict: + response.headers.update(current_trace_headers()) + _service().record_recommendation_run(**payload.model_dump()) + return {"status": "ok"} + + +@app.get("/internal/audit-logs") +def list_audit_logs( + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + response.headers.update(current_trace_headers()) + return _service().list_audit_logs(limit=limit) + + +@app.get("/internal/forecast-runs") +def list_forecast_runs( + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + response.headers.update(current_trace_headers()) + return _service().list_forecast_runs(limit=limit) + + +@app.get("/internal/ranking-runs") +def list_ranking_runs( + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + response.headers.update(current_trace_headers()) + return _service().list_ranking_runs(limit=limit) + + +@app.get("/internal/recommendation-runs") +def list_recommendation_runs( + response: Response, + limit: int = Query(default=settings.storage_default_limit, ge=1, le=500), + _auth: InternalPrincipal = Depends(require_internal_principal), +) -> list[dict]: + response.headers.update(current_trace_headers()) + return _service().list_recommendation_runs(limit=limit) diff --git a/backend/pyproject.toml b/backend/pyproject.toml new file mode 100644 index 0000000..fd12fb3 --- /dev/null +++ b/backend/pyproject.toml @@ -0,0 +1,46 @@ +[project] +name = "otel-bi-backend" +version = "0.1.0" +description = "OpenTelemetry-instrumented BI and forecasting backend for MSSQL data warehouses" +requires-python = ">=3.11" +license = "AGPL-3.0-or-later" +authors = [{ name = "Domagoj Andrić" }] +dependencies = [ + "fastapi>=0.116.0", + "uvicorn[standard]>=0.35.0", + "pydantic>=2.11.0", + "pydantic-settings>=2.10.0", + "python-dotenv>=1.1.0", + "httpx>=0.28.0", + "pyjwt[crypto]>=2.10.0", + "sqlalchemy>=2.0.40", + "pyodbc>=5.2.0", + "psycopg[binary]>=3.2.0", + "pandas>=2.3.0", + "numpy>=2.3.0", + "scikit-learn>=1.7.0", + "opentelemetry-api>=1.36.0", + "opentelemetry-sdk>=1.36.0", + "opentelemetry-exporter-otlp-proto-http>=1.36.0", + "opentelemetry-instrumentation-fastapi>=0.57b0", + "opentelemetry-instrumentation-httpx>=0.57b0", + "opentelemetry-instrumentation-sqlalchemy>=0.57b0", + "opentelemetry-instrumentation-logging>=0.57b0", + "opentelemetry-instrumentation-system-metrics>=0.57b0", +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.4.0", +] + +[build-system] +requires = ["setuptools>=68", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.setuptools.packages.find] +where = ["."] +include = ["app*", "microservices*"] + +[tool.pytest.ini_options] +pythonpath = ["."] diff --git a/backend/tests/test_analytics_service.py b/backend/tests/test_analytics_service.py new file mode 100644 index 0000000..382cbe0 --- /dev/null +++ b/backend/tests/test_analytics_service.py @@ -0,0 +1,79 @@ +from __future__ import annotations + +from datetime import date, timedelta + +import pandas as pd + +from app.services.analytics_service import AnalyticsService + + +class StubWarehouseClient: + def fetch_daily_sales(self) -> pd.DataFrame: + today = date.today() + rows = [] + for i in range(120): + day = today - timedelta(days=120 - i) + rows.append( + { + "sale_date": day.isoformat(), + "revenue": 1000 + (i * 5), + "cost": 500 + (i * 2), + "quantity": 40 + i, + "orders": 5 + (i % 4), + "source": "stub", + } + ) + return pd.DataFrame(rows) + + def fetch_product_performance(self) -> pd.DataFrame: + return pd.DataFrame( + [ + { + "product_id": "A1", + "product_name": "Alpha", + "category_name": "CatA", + "revenue": 12000, + "cost": 6000, + "quantity": 400, + "orders": 150, + "source": "stub", + }, + { + "product_id": "B1", + "product_name": "Beta", + "category_name": "CatB", + "revenue": 9000, + "cost": 8500, + "quantity": 300, + "orders": 110, + "source": "stub", + }, + ] + ) + + def fetch_customer_performance(self) -> pd.DataFrame: + return pd.DataFrame( + [ + { + "customer_id": "C1", + "customer_name": "Contoso", + "revenue": 15000, + "orders": 80, + "source": "stub", + } + ] + ) + + +def test_forecast_has_expected_horizon() -> None: + service = AnalyticsService(StubWarehouseClient()) # type: ignore[arg-type] + forecast = service.get_forecast(horizon_days=15) + assert len(forecast) == 15 + assert "predicted_revenue" in forecast[0] + + +def test_rankings_are_sorted() -> None: + service = AnalyticsService(StubWarehouseClient()) # type: ignore[arg-type] + rankings = service.get_rankings(top_n=2) + assert len(rankings) == 2 + assert rankings[0]["score"] >= rankings[1]["score"] diff --git a/backend/tests/test_security_tokens.py b/backend/tests/test_security_tokens.py new file mode 100644 index 0000000..7461e2f --- /dev/null +++ b/backend/tests/test_security_tokens.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +import pytest +from fastapi import HTTPException + +from app.core.config import settings +from app.core.security import InternalTokenManager, require_internal_principal + + +def test_internal_token_round_trip(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr( + settings, + "internal_service_shared_secret", + "unit-test-shared-secret-key-at-least-32b", + ) + monkeypatch.setattr(settings, "internal_service_token_audience", "bi-internal-test") + monkeypatch.setattr(settings, "internal_service_allowed_issuers", "api-gateway") + monkeypatch.setattr(settings, "internal_token_clock_skew_seconds", 0) + + manager = InternalTokenManager() + token = manager.mint( + subject="user-123", + scopes=["openid", "profile"], + source_service="api-gateway", + ) + + principal = manager.verify(token) + assert principal.subject == "user-123" + assert principal.claims["iss"] == "api-gateway" + assert principal.claims["typ"] == "internal-service" + + +def test_internal_token_rejects_untrusted_issuer( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr( + settings, + "internal_service_shared_secret", + "unit-test-shared-secret-key-at-least-32b", + ) + monkeypatch.setattr(settings, "internal_service_token_audience", "bi-internal-test") + monkeypatch.setattr(settings, "internal_service_allowed_issuers", "api-gateway") + monkeypatch.setattr(settings, "internal_token_clock_skew_seconds", 0) + + manager = InternalTokenManager() + token = manager.mint( + subject="user-123", + scopes=["openid"], + source_service="analytics", + ) + + with pytest.raises(HTTPException) as exc: + manager.verify(token) + assert exc.value.status_code == 401 + assert exc.value.detail == "Internal token issuer is not allowed." + + +def test_require_internal_principal_rejects_missing_token( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(settings, "internal_service_auth_enabled", True) + with pytest.raises(HTTPException) as exc: + require_internal_principal(None) + assert exc.value.status_code == 401 + assert exc.value.detail == "Missing x-internal-service-token header." diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 0000000..28de698 --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1,13 @@ +VITE_API_BASE_URL=http://localhost:8000 +VITE_OTEL_COLLECTOR_ENDPOINT=http://localhost:4318 +# K8s + Alloy example: +# VITE_OTEL_COLLECTOR_ENDPOINT=http://alloy.monitoring.svc.cluster.local:4318 +VITE_OTEL_SERVICE_NAME=otel-bi-frontend +VITE_OTEL_SERVICE_NAMESPACE=final-thesis + +VITE_OIDC_ENABLED=true +VITE_OIDC_AUTHORITY=https:///realms/ +VITE_OIDC_CLIENT_ID=otel-bi-frontend +VITE_OIDC_REDIRECT_URI=http://localhost:5173 +VITE_OIDC_POST_LOGOUT_REDIRECT_URI=http://localhost:5173 +VITE_OIDC_SCOPE=openid profile email diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..3a78cfd --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,12 @@ + + + + + + OTel BI Command Center + + +
+ + + diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..eb708e1 --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,2749 @@ +{ + "name": "otel-bi-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "otel-bi-frontend", + "version": "0.1.0", + "dependencies": { + "@opentelemetry/api": "^1.9.0", + "@opentelemetry/context-zone-peer-dep": "^2.2.0", + "@opentelemetry/core": "^2.2.0", + "@opentelemetry/exporter-trace-otlp-http": "^0.213.0", + "@opentelemetry/instrumentation": "^0.213.0", + "@opentelemetry/instrumentation-document-load": "^0.58.0", + "@opentelemetry/instrumentation-fetch": "^0.213.0", + "@opentelemetry/instrumentation-user-interaction": "^0.57.0", + "@opentelemetry/instrumentation-xml-http-request": "^0.213.0", + "@opentelemetry/resources": "^2.2.0", + "@opentelemetry/sdk-trace-base": "^2.2.0", + "@opentelemetry/sdk-trace-web": "^2.2.0", + 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"@opentelemetry/instrumentation-xml-http-request": "^0.213.0", + "@opentelemetry/resources": "^2.2.0", + "@opentelemetry/sdk-trace-base": "^2.2.0", + "@opentelemetry/sdk-trace-web": "^2.2.0", + "@tanstack/react-query": "^5.90.2", + "oidc-client-ts": "^3.1.0", + "react": "^19.1.1", + "react-dom": "^19.1.1", + "recharts": "^3.2.1", + "zone.js": "^0.15.1" + }, + "devDependencies": { + "@types/react": "^19.1.10", + "@types/react-dom": "^19.1.7", + "@vitejs/plugin-react": "^5.0.0", + "typescript": "~5.9.2", + "vite": "^7.1.4" + } +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..fec3c15 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,363 @@ +import { trace, SpanStatusCode } from "@opentelemetry/api"; +import { useQuery } from "@tanstack/react-query"; +import { startTransition, useDeferredValue } from "react"; +import { + Area, + AreaChart, + CartesianGrid, + Line, + LineChart, + ResponsiveContainer, + Tooltip, + XAxis, + YAxis, +} from "recharts"; + +import { getDashboard } from "./api/client"; +import { useAuth } from "./auth/AuthContext"; + +const money = new Intl.NumberFormat("en-US", { + style: "currency", + currency: "USD", + maximumFractionDigits: 0, +}); + +const tracer = trace.getTracer("bi-frontend-ui"); + +function formatCompactDate(value: string): string { + return new Date(value).toLocaleDateString("en-US", { + month: "short", + day: "numeric", + }); +} + +function formatTooltipMoney( + value: string | number | readonly (string | number)[] | undefined, +): string { + const raw = Array.isArray(value) ? Number(value[0]) : Number(value); + return money.format(Number.isFinite(raw) ? raw : 0); +} + +function formatTooltipNumber( + value: string | number | readonly (string | number)[] | undefined, +): string { + const raw = Array.isArray(value) ? Number(value[0]) : Number(value); + return Number.isFinite(raw) ? raw.toFixed(2) : "0.00"; +} + +export default function App() { + const auth = useAuth(); + const dashboardQuery = useQuery({ + queryKey: ["dashboard"], + queryFn: getDashboard, + staleTime: 30_000, + refetchInterval: 120_000, + enabled: auth.authenticated || !auth.enabled, + }); + + const deferredRankings = useDeferredValue( + dashboardQuery.data?.rankings ?? [], + ); + + const chartHistory = + dashboardQuery.data?.history.slice(-120).map((point) => ({ + date: point.date, + actual: point.revenue, + forecast: null as number | null, + lower: null as number | null, + upper: null as number | null, + })) ?? []; + const chartForecast = + dashboardQuery.data?.forecasts.slice(0, 45).map((point) => ({ + date: point.date, + actual: null as number | null, + forecast: point.predicted_revenue, + lower: point.lower_bound, + upper: point.upper_bound, + })) ?? []; + const trendData = [...chartHistory, ...chartForecast]; + + const refreshData = () => { + tracer.startActiveSpan("frontend.refresh_click", async (span) => { + try { + startTransition(() => { + void dashboardQuery.refetch(); + }); + span.setStatus({ code: SpanStatusCode.OK }); + } catch (error) { + span.recordException(error as Error); + span.setStatus({ + code: SpanStatusCode.ERROR, + message: "Failed to refresh dashboard data.", + }); + } finally { + span.end(); + } + }); + }; + + if (auth.loading) { + return
Initializing OIDC session...
; + } + + if (auth.error) { + return ( +
+ Authentication setup error. +
+ {auth.error} +
+ ); + } + + if (auth.enabled && !auth.authenticated) { + return ( +
+ Authentication required. +
+ +
+ ); + } + + if (dashboardQuery.isLoading) { + return ( +
+ Loading telemetry-enabled BI dashboard... +
+ ); + } + + if (dashboardQuery.error || !dashboardQuery.data) { + return ( +
+ Dashboard could not load. +
+ {(dashboardQuery.error as Error | undefined)?.message ?? + "No response from backend."} +
+ ); + } + + const { kpis, recommendations, telemetry } = dashboardQuery.data; + const topScore = deferredRankings[0]?.score ?? 0; + + return ( +
+
+
+
+

Business Intelligence Command Center

+

Warehouse Forecasting and Ranking Dashboard

+

+ Data sources: WorldWideImporters +{" "} + AdventureWorks2022DWH (read-only) with + OpenTelemetry traces from browser to SQL. +

+

+ Last backend trace:{" "} + {telemetry.backendTraceId ?? "missing-trace-id-header"} +

+
+
+

+ User: {auth.subject ?? "unknown"} +

+
+ + {auth.enabled ? ( + + ) : null} +
+
+
+ +
+
+

Total Revenue

+

{money.format(kpis.total_revenue)}

+
+
+

Gross Margin

+

{kpis.gross_margin_pct.toFixed(2)}%

+
+
+

Avg Order Value

+

{money.format(kpis.avg_order_value)}

+
+
+

Total Quantity

+

+ {kpis.total_quantity.toLocaleString("en-US", { + maximumFractionDigits: 0, + })} +

+
+
+ +
+
+
+

Revenue Trend + Forecast

+ {trendData.length} points +
+
+ + + + + money.format(value)} + stroke="rgba(255,255,255,0.65)" + /> + + new Date(label).toLocaleDateString("en-US") + } + formatter={formatTooltipMoney} + /> + + + + + + +
+
+ +
+
+

Top Product Score

+ Weighted ranking index +
+
+ + + + + + + + + +

+ Current leader score {topScore.toFixed(2)} / 100 +

+
+
+ +
+
+

Product Rankings

+ Top {deferredRankings.length} +
+
+ + + + + + + + + + + + + {deferredRankings.map((item) => ( + + + + + + + + + ))} + +
RankProductCategoryRevenueMarginScore
{item.rank}{item.product_name}{item.category}{money.format(item.revenue)}{item.margin_pct.toFixed(2)}%{item.score.toFixed(2)}
+
+
+ +
+
+

Recommendations

+ Action queue +
+
    + {recommendations.map((item, index) => ( +
  • + + {item.priority} + +

    {item.title}

    +

    {item.summary}

    +
    • + ))} +
+
+
+
+ ); +} diff --git a/frontend/src/api/client.ts b/frontend/src/api/client.ts new file mode 100644 index 0000000..8b6a254 --- /dev/null +++ b/frontend/src/api/client.ts @@ -0,0 +1,53 @@ +import { SpanStatusCode, trace } from "@opentelemetry/api"; + +import { currentAccessToken } from "../auth/oidc"; +import type { DashboardPayload, DashboardResponse } from "./types"; + +const API_BASE_URL = + import.meta.env.VITE_API_BASE_URL ?? "http://localhost:8000"; +const tracer = trace.getTracer("bi-frontend-api"); + +async function parseJson(response: Response): Promise { + if (!response.ok) { + const body = await response.text(); + throw new Error(`HTTP ${response.status}: ${body}`); + } + return (await response.json()) as T; +} + +export async function getDashboard(): Promise { + return tracer.startActiveSpan("frontend.api.dashboard", async (span) => { + try { + const token = currentAccessToken(); + const response = await fetch(`${API_BASE_URL}/api/dashboard`, { + method: "GET", + headers: { + Accept: "application/json", + ...(token ? { Authorization: `Bearer ${token}` } : {}), + }, + }); + const data = await parseJson(response); + const backendTraceId = response.headers.get("x-trace-id"); + const backendSpanId = response.headers.get("x-span-id"); + span.setAttribute("dashboard.kpis", Object.keys(data.kpis).length); + span.setAttribute("backend.trace_id_present", backendTraceId !== null); + span.setStatus({ code: SpanStatusCode.OK }); + return { + ...data, + telemetry: { + backendTraceId, + backendSpanId, + }, + }; + } catch (error) { + span.recordException(error as Error); + span.setStatus({ + code: SpanStatusCode.ERROR, + message: "dashboard request failed", + }); + throw error; + } finally { + span.end(); + } + }); +} diff --git a/frontend/src/api/types.ts b/frontend/src/api/types.ts new file mode 100644 index 0000000..326cb2d --- /dev/null +++ b/frontend/src/api/types.ts @@ -0,0 +1,52 @@ +export type KPI = { + total_revenue: number; + gross_margin_pct: number; + total_quantity: number; + avg_order_value: number; + records_in_window: number; +}; + +export type HistoryPoint = { + date: string; + revenue: number; + cost: number; + quantity: number; +}; + +export type ForecastPoint = { + date: string; + predicted_revenue: number; + lower_bound: number; + upper_bound: number; +}; + +export type RankingItem = { + rank: number; + product_id: string; + product_name: string; + category: string; + revenue: number; + margin_pct: number; + score: number; +}; + +export type Recommendation = { + title: string; + priority: string; + summary: string; +}; + +export type DashboardResponse = { + kpis: KPI; + history: HistoryPoint[]; + forecasts: ForecastPoint[]; + rankings: RankingItem[]; + recommendations: Recommendation[]; +}; + +export type DashboardPayload = DashboardResponse & { + telemetry: { + backendTraceId: string | null; + backendSpanId: string | null; + }; +}; diff --git a/frontend/src/auth/AuthContext.tsx b/frontend/src/auth/AuthContext.tsx new file mode 100644 index 0000000..4eb0947 --- /dev/null +++ b/frontend/src/auth/AuthContext.tsx @@ -0,0 +1,90 @@ +import { + createContext, + useContext, + useEffect, + useState, + type ReactNode, +} from "react"; + +import { + currentUser, + initializeOIDC, + isOIDCEnabled, + login, + logout, + oidcConfigError, +} from "./oidc"; + +type AuthState = { + loading: boolean; + authenticated: boolean; + enabled: boolean; + subject: string | null; + error: string | null; + login: () => Promise; + logout: () => Promise; +}; + +const AuthContext = createContext({ + loading: true, + authenticated: false, + enabled: true, + subject: null, + error: null, + login, + logout, +}); + +export function AuthProvider({ children }: { children: ReactNode }) { + const [loading, setLoading] = useState(true); + const [authenticated, setAuthenticated] = useState(false); + const [subject, setSubject] = useState(null); + const [error, setError] = useState(null); + const enabled = isOIDCEnabled(); + + useEffect(() => { + const bootstrap = async () => { + try { + const configIssue = oidcConfigError(); + if (configIssue) { + setError(configIssue); + setAuthenticated(false); + return; + } + + await initializeOIDC(); + const user = currentUser(); + const isAuthed = !!user && !user.expired; + setAuthenticated(isAuthed); + setSubject((user?.profile?.sub as string | undefined) ?? null); + } catch (err) { + setError((err as Error).message); + setAuthenticated(false); + } finally { + setLoading(false); + } + }; + + void bootstrap(); + }, []); + + return ( + + {children} + + ); +} + +export function useAuth(): AuthState { + return useContext(AuthContext); +} diff --git a/frontend/src/auth/oidc.ts b/frontend/src/auth/oidc.ts new file mode 100644 index 0000000..6a4bd7b --- /dev/null +++ b/frontend/src/auth/oidc.ts @@ -0,0 +1,105 @@ +import { UserManager, type User, WebStorageStateStore } from "oidc-client-ts"; + +type OIDCConfig = { + enabled: boolean; + authority: string; + clientId: string; + redirectUri: string; + postLogoutRedirectUri: string; + scope: string; +}; + +let cachedUser: User | null = null; + +function config(): OIDCConfig { + const enabled = (import.meta.env.VITE_OIDC_ENABLED ?? "true") !== "false"; + return { + enabled, + authority: import.meta.env.VITE_OIDC_AUTHORITY ?? "", + clientId: import.meta.env.VITE_OIDC_CLIENT_ID ?? "", + redirectUri: + import.meta.env.VITE_OIDC_REDIRECT_URI ?? window.location.origin, + postLogoutRedirectUri: + import.meta.env.VITE_OIDC_POST_LOGOUT_REDIRECT_URI ?? + window.location.origin, + scope: import.meta.env.VITE_OIDC_SCOPE ?? "openid profile email", + }; +} + +export function isOIDCEnabled(): boolean { + return config().enabled; +} + +export function oidcConfigError(): string | null { + const cfg = config(); + if (!cfg.enabled) return null; + if (!cfg.authority) return "VITE_OIDC_AUTHORITY is not set."; + if (!cfg.clientId) return "VITE_OIDC_CLIENT_ID is not set."; + return null; +} + +function manager(): UserManager { + const cfg = config(); + return new UserManager({ + authority: cfg.authority, + client_id: cfg.clientId, + redirect_uri: cfg.redirectUri, + post_logout_redirect_uri: cfg.postLogoutRedirectUri, + response_type: "code", + scope: cfg.scope, + userStore: new WebStorageStateStore({ store: window.sessionStorage }), + monitorSession: true, + automaticSilentRenew: false, + }); +} + +function hasSigninParams(): boolean { + const params = new URLSearchParams(window.location.search); + return params.has("code") && params.has("state"); +} + +export async function initializeOIDC(): Promise { + if (!isOIDCEnabled()) { + cachedUser = null; + return null; + } + + if (oidcConfigError()) { + cachedUser = null; + return null; + } + + const userManager = manager(); + if (hasSigninParams()) { + cachedUser = await userManager.signinRedirectCallback(); + window.history.replaceState({}, document.title, window.location.pathname); + return cachedUser; + } + + cachedUser = await userManager.getUser(); + return cachedUser; +} + +export function currentUser(): User | null { + return cachedUser; +} + +export function currentAccessToken(): string | null { + if (cachedUser?.access_token && !cachedUser.expired) + return cachedUser.access_token; + return null; +} + +export async function login(): Promise { + if (!isOIDCEnabled()) return; + const userManager = manager(); + await userManager.signinRedirect({ + state: { returnTo: window.location.pathname + window.location.search }, + }); +} + +export async function logout(): Promise { + if (!isOIDCEnabled()) return; + const userManager = manager(); + await userManager.signoutRedirect(); +} diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx new file mode 100644 index 0000000..6e4bf8a --- /dev/null +++ b/frontend/src/main.tsx @@ -0,0 +1,31 @@ +import "zone.js"; +import "./styles.css"; + +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; + +import App from "./App"; +import { AuthProvider } from "./auth/AuthContext"; +import { setupTelemetry } from "./telemetry"; + +setupTelemetry(); + +const queryClient = new QueryClient({ + defaultOptions: { + queries: { + retry: 1, + refetchOnWindowFocus: false, + }, + }, +}); + +createRoot(document.getElementById("root")!).render( + + + + + + + , +); diff --git a/frontend/src/styles.css b/frontend/src/styles.css new file mode 100644 index 0000000..38d5d5a --- /dev/null +++ b/frontend/src/styles.css @@ -0,0 +1,325 @@ +:root { + font-family: "Space Grotesk", "Segoe UI", sans-serif; + line-height: 1.5; + font-weight: 400; + color: #f3f7ff; + background: #0a1019; + + --bg-primary: #0a1019; + --bg-secondary: #101d2e; + --bg-panel: rgba(16, 28, 44, 0.72); + --border: rgba(186, 212, 255, 0.22); + --accent-a: #f9de70; + --accent-b: #57d4ff; + --accent-c: #8ef2c7; + --text-muted: rgba(233, 244, 255, 0.7); + --shadow: 0 20px 55px rgba(3, 8, 16, 0.45); +} + +* { + box-sizing: border-box; +} + +body { + margin: 0; + min-height: 100vh; + background: + radial-gradient( + circle at 0% 0%, + rgba(122, 82, 242, 0.2), + transparent 30% + ), + radial-gradient( + circle at 100% 10%, + rgba(87, 212, 255, 0.18), + transparent 30% + ), + linear-gradient(150deg, var(--bg-primary), var(--bg-secondary)); +} + +.app-shell { + width: min(1200px, 100% - 2rem); + margin: 1.5rem auto 3rem; + position: relative; +} + +.radial-glow { + position: fixed; + width: 48vw; + height: 48vw; + max-width: 540px; + max-height: 540px; + border-radius: 50%; + background: radial-gradient( + circle, + rgba(87, 212, 255, 0.16), + transparent 65% + ); + top: -12rem; + right: -10rem; + pointer-events: none; + z-index: 0; +} + +.dashboard-header, +.kpi-grid, +.panel-grid { + position: relative; + z-index: 1; +} + +.dashboard-header { + display: flex; + justify-content: space-between; + gap: 1rem; + align-items: flex-start; + margin-bottom: 1rem; +} + +.auth-actions { + display: grid; + gap: 0.5rem; + justify-items: end; +} + +.header-actions { + display: flex; + gap: 0.5rem; +} + +.dashboard-header h1 { + margin: 0.2rem 0 0.5rem; + font-size: clamp(1.6rem, 2.2vw, 2.4rem); + letter-spacing: -0.04em; +} + +.eyebrow { + margin: 0; + color: var(--accent-b); + text-transform: uppercase; + letter-spacing: 0.14em; + font-size: 0.74rem; + font-weight: 600; +} + +.subtitle { + margin: 0; + color: var(--text-muted); + max-width: 74ch; +} + +.trace-id { + margin: 0.5rem 0 0; + color: var(--text-muted); + font-size: 0.8rem; +} + +.trace-id code { + color: var(--accent-c); +} + +.refresh-button { + background: linear-gradient(125deg, var(--accent-b), #7be8ff); + color: #04111b; + border: 0; + font-weight: 700; + padding: 0.72rem 1rem; + border-radius: 0.8rem; + box-shadow: var(--shadow); + cursor: pointer; +} + +.logout-button { + background: rgba(248, 159, 159, 0.2); + color: #ffd6d6; + border: 1px solid rgba(255, 184, 184, 0.45); + font-weight: 700; + padding: 0.72rem 1rem; + border-radius: 0.8rem; + box-shadow: var(--shadow); + cursor: pointer; +} + +.kpi-grid { + display: grid; + grid-template-columns: repeat(4, minmax(0, 1fr)); + gap: 0.9rem; + margin-bottom: 0.9rem; +} + +.kpi-card { + background: var(--bg-panel); + border: 1px solid var(--border); + border-radius: 1rem; + padding: 0.95rem 1rem; + box-shadow: var(--shadow); + backdrop-filter: blur(8px); +} + +.kpi-card p { + margin: 0; + color: var(--text-muted); + font-size: 0.82rem; + text-transform: uppercase; + letter-spacing: 0.08em; +} + +.kpi-card h2 { + margin: 0.5rem 0 0; + font-size: clamp(1.1rem, 1.7vw, 1.6rem); +} + +.panel-grid { + display: grid; + grid-template-columns: 2fr 1fr; + gap: 0.9rem; +} + +.panel { + background: var(--bg-panel); + border: 1px solid var(--border); + border-radius: 1rem; + box-shadow: var(--shadow); + backdrop-filter: blur(8px); + padding: 0.9rem; +} + +.panel.wide { + grid-column: span 2; +} + +.panel-title-row { + display: flex; + justify-content: space-between; + align-items: baseline; + gap: 1rem; +} + +.panel-title-row h3 { + margin: 0; +} + +.panel-title-row span { + color: var(--text-muted); + font-size: 0.85rem; +} + +.chart-wrap, +.score-wrap { + margin-top: 0.8rem; +} + +.score-caption { + margin-top: 0.4rem; + color: var(--text-muted); +} + +.table-wrap { + margin-top: 0.7rem; + max-height: 350px; + overflow: auto; +} + +table { + width: 100%; + border-collapse: collapse; +} + +th, +td { + text-align: left; + padding: 0.6rem 0.45rem; + border-bottom: 1px solid rgba(216, 232, 255, 0.09); + white-space: nowrap; +} + +th { + color: var(--text-muted); + font-size: 0.77rem; + letter-spacing: 0.08em; + text-transform: uppercase; +} + +.recommendations-list { + margin: 0.8rem 0 0; + padding: 0; + list-style: none; + display: grid; + gap: 0.75rem; +} + +.recommendations-list li { + border: 1px solid rgba(190, 210, 245, 0.14); + background: rgba(12, 20, 31, 0.7); + border-radius: 0.8rem; + padding: 0.75rem; +} + +.recommendations-list h4 { + margin: 0.5rem 0 0.3rem; +} + +.recommendations-list p { + margin: 0; + color: var(--text-muted); +} + +.priority { + display: inline-flex; + align-items: center; + border-radius: 999px; + padding: 0.2rem 0.55rem; + font-size: 0.72rem; + text-transform: uppercase; + font-weight: 700; + letter-spacing: 0.08em; +} + +.priority.high { + background: rgba(255, 112, 112, 0.17); + color: #ffb6b6; +} + +.priority.medium { + background: rgba(255, 205, 112, 0.18); + color: #ffe3ae; +} + +.priority.low { + background: rgba(142, 242, 199, 0.18); + color: #b9ffd8; +} + +.loading-shell { + color: #d6e7ff; + min-height: 100vh; + display: grid; + place-items: center; + text-align: center; + padding: 1rem; + font-size: 1.04rem; +} + +@media (max-width: 980px) { + .kpi-grid { + grid-template-columns: repeat(2, minmax(0, 1fr)); + } + + .panel-grid { + grid-template-columns: 1fr; + } + + .panel.wide { + grid-column: auto; + } +} + +@media (max-width: 640px) { + .dashboard-header { + flex-direction: column; + } + + .kpi-grid { + grid-template-columns: 1fr; + } +} diff --git a/frontend/src/telemetry.ts b/frontend/src/telemetry.ts new file mode 100644 index 0000000..de3c958 --- /dev/null +++ b/frontend/src/telemetry.ts @@ -0,0 +1,77 @@ +import { propagation } from "@opentelemetry/api"; +import { resourceFromAttributes } from "@opentelemetry/resources"; +import { BatchSpanProcessor } from "@opentelemetry/sdk-trace-base"; +import { WebTracerProvider } from "@opentelemetry/sdk-trace-web"; +import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http"; +import { + CompositePropagator, + W3CBaggagePropagator, + W3CTraceContextPropagator, +} from "@opentelemetry/core"; +import { DocumentLoadInstrumentation } from "@opentelemetry/instrumentation-document-load"; +import { registerInstrumentations } from "@opentelemetry/instrumentation"; +import { FetchInstrumentation } from "@opentelemetry/instrumentation-fetch"; +import { UserInteractionInstrumentation } from "@opentelemetry/instrumentation-user-interaction"; +import { XMLHttpRequestInstrumentation } from "@opentelemetry/instrumentation-xml-http-request"; +import { ZoneContextManager } from "@opentelemetry/context-zone-peer-dep"; + +let initialized = false; + +function escapeRegExp(value: string): string { + return value.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); +} + +export function setupTelemetry(): void { + if (initialized) return; + initialized = true; + + const endpoint = + import.meta.env.VITE_OTEL_COLLECTOR_ENDPOINT ?? "http://localhost:4318"; + const serviceName = + import.meta.env.VITE_OTEL_SERVICE_NAME ?? "otel-bi-frontend"; + const serviceNamespace = + import.meta.env.VITE_OTEL_SERVICE_NAMESPACE ?? "final-thesis"; + const apiBaseUrl = + import.meta.env.VITE_API_BASE_URL ?? "http://localhost:8000"; + + propagation.setGlobalPropagator( + new CompositePropagator({ + propagators: [ + new W3CTraceContextPropagator(), + new W3CBaggagePropagator(), + ], + }), + ); + + const provider = new WebTracerProvider({ + resource: resourceFromAttributes({ + "service.name": serviceName, + "service.namespace": serviceNamespace, + "deployment.environment": import.meta.env.MODE, + }), + spanProcessors: [ + new BatchSpanProcessor( + new OTLPTraceExporter({ + url: `${endpoint}/v1/traces`, + }), + ), + ], + }); + + provider.register({ + contextManager: new ZoneContextManager(), + }); + + registerInstrumentations({ + instrumentations: [ + new DocumentLoadInstrumentation(), + new FetchInstrumentation({ + propagateTraceHeaderCorsUrls: [ + new RegExp(`^${escapeRegExp(apiBaseUrl)}`), + ], + }), + new XMLHttpRequestInstrumentation(), + new UserInteractionInstrumentation(), + ], + }); +} diff --git a/frontend/tsconfig.app.json b/frontend/tsconfig.app.json new file mode 100644 index 0000000..a5908f4 --- /dev/null +++ b/frontend/tsconfig.app.json @@ -0,0 +1,15 @@ +{ + "compilerOptions": { + "target": "ES2022", + "lib": ["ES2022", "DOM", "DOM.Iterable"], + "module": "ESNext", + "moduleResolution": "Bundler", + "jsx": "react-jsx", + "strict": true, + "skipLibCheck": true, + "resolveJsonModule": true, + "noEmit": true, + "types": ["vite/client"] + }, + "include": ["src"] +} diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..1ffef60 --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,7 @@ +{ + "files": [], + "references": [ + { "path": "./tsconfig.app.json" }, + { "path": "./tsconfig.node.json" } + ] +} diff --git a/frontend/tsconfig.node.json b/frontend/tsconfig.node.json new file mode 100644 index 0000000..bcb52aa --- /dev/null +++ b/frontend/tsconfig.node.json @@ -0,0 +1,10 @@ +{ + "compilerOptions": { + "composite": true, + "module": "ESNext", + "moduleResolution": "Bundler", + "types": ["node"], + "skipLibCheck": true + }, + "include": ["vite.config.ts"] +} diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts new file mode 100644 index 0000000..c2144bd --- /dev/null +++ b/frontend/vite.config.ts @@ -0,0 +1,10 @@ +import react from "@vitejs/plugin-react"; +import { defineConfig } from "vite"; + +export default defineConfig({ + plugins: [react()], + server: { + host: "0.0.0.0", + port: 5173, + }, +}); diff --git a/k8s/microservices.yaml b/k8s/microservices.yaml new file mode 100644 index 0000000..1dc2c10 --- /dev/null +++ b/k8s/microservices.yaml @@ -0,0 +1,277 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: bi-platform +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: bi-platform-config + namespace: bi-platform +data: + APP_ENV: "prod" + LOG_LEVEL: "INFO" + CORS_ORIGINS: "https://bi.example.com" + REQUIRE_FRONTEND_AUTH: "true" + FRONTEND_JWT_ISSUER_URL: "https://idp.example.com/realms/bi" + FRONTEND_JWT_JWKS_URL: "https://idp.example.com/realms/bi/protocol/openid-connect/certs" + FRONTEND_JWT_AUDIENCE: "otel-bi-api" + FRONTEND_JWT_ALGORITHM: "RS256" + FRONTEND_REQUIRED_SCOPES: "openid profile email" + FRONTEND_CLOCK_SKEW_SECONDS: "30" + INTERNAL_SERVICE_AUTH_ENABLED: "true" + INTERNAL_SERVICE_TOKEN_TTL_SECONDS: "120" + INTERNAL_SERVICE_TOKEN_AUDIENCE: "bi-internal" + INTERNAL_SERVICE_ALLOWED_ISSUERS: "api-gateway" + INTERNAL_TOKEN_CLOCK_SKEW_SECONDS: "15" + QUERY_SERVICE_URL: "http://bi-query.bi-platform.svc.cluster.local:8000" + ANALYTICS_SERVICE_URL: "http://analytics.bi-platform.svc.cluster.local:8000" + PERSISTENCE_SERVICE_URL: "http://persistence.bi-platform.svc.cluster.local:8000" + OTEL_COLLECTOR_ENDPOINT: "http://alloy.monitoring.svc.cluster.local:4318" +--- +apiVersion: v1 +kind: Secret +metadata: + name: bi-platform-secrets + namespace: bi-platform +type: Opaque +stringData: + MSSQL_HOST: "mssql.dw.svc.cluster.local" + MSSQL_PORT: "1433" + MSSQL_USERNAME: "readonly_user" + MSSQL_PASSWORD: "readonly_password" + POSTGRES_HOST: "postgres.app.svc.cluster.local" + POSTGRES_PORT: "5432" + POSTGRES_DATABASE: "otel_bi_app" + POSTGRES_USERNAME: "otel_bi_app" + POSTGRES_PASSWORD: "otel_bi_app" + POSTGRES_REQUIRED: "true" + INTERNAL_SERVICE_SHARED_SECRET: "replace-with-strong-random-secret-min-32-bytes" +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: api-gateway + namespace: bi-platform +spec: + replicas: 2 + selector: + matchLabels: + app: api-gateway + template: + metadata: + labels: + app: api-gateway + spec: + automountServiceAccountToken: false + containers: + - name: api-gateway + image: ghcr.io/your-org/otel-bi-backend:latest + imagePullPolicy: IfNotPresent + command: + [ + "uvicorn", + "microservices.api_gateway.main:app", + "--host", + "0.0.0.0", + "--port", + "8000", + ] + envFrom: + - configMapRef: + name: bi-platform-config + - secretRef: + name: bi-platform-secrets + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: ["ALL"] + runAsNonRoot: true + runAsUser: 10001 + seccompProfile: + type: RuntimeDefault + ports: + - containerPort: 8000 +--- +apiVersion: v1 +kind: Service +metadata: + name: api-gateway + namespace: bi-platform +spec: + selector: + app: api-gateway + ports: + - port: 8000 + targetPort: 8000 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: bi-query + namespace: bi-platform +spec: + replicas: 2 + selector: + matchLabels: + app: bi-query + template: + metadata: + labels: + app: bi-query + spec: + automountServiceAccountToken: false + containers: + - name: bi-query + image: ghcr.io/your-org/otel-bi-backend:latest + imagePullPolicy: IfNotPresent + command: + [ + "uvicorn", + "microservices.bi_query.main:app", + "--host", + "0.0.0.0", + "--port", + "8000", + ] + envFrom: + - configMapRef: + name: bi-platform-config + - secretRef: + name: bi-platform-secrets + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: ["ALL"] + runAsNonRoot: true + runAsUser: 10001 + seccompProfile: + type: RuntimeDefault + ports: + - containerPort: 8000 +--- +apiVersion: v1 +kind: Service +metadata: + name: bi-query + namespace: bi-platform +spec: + selector: + app: bi-query + ports: + - port: 8000 + targetPort: 8000 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: analytics + namespace: bi-platform +spec: + replicas: 2 + selector: + matchLabels: + app: analytics + template: + metadata: + labels: + app: analytics + spec: + automountServiceAccountToken: false + containers: + - name: analytics + image: ghcr.io/your-org/otel-bi-backend:latest + imagePullPolicy: IfNotPresent + command: + [ + "uvicorn", + "microservices.analytics.main:app", + "--host", + "0.0.0.0", + "--port", + "8000", + ] + envFrom: + - configMapRef: + name: bi-platform-config + - secretRef: + name: bi-platform-secrets + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: ["ALL"] + runAsNonRoot: true + runAsUser: 10001 + seccompProfile: + type: RuntimeDefault + ports: + - containerPort: 8000 +--- +apiVersion: v1 +kind: Service +metadata: + name: analytics + namespace: bi-platform +spec: + selector: + app: analytics + ports: + - port: 8000 + targetPort: 8000 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: persistence + namespace: bi-platform +spec: + replicas: 2 + selector: + matchLabels: + app: persistence + template: + metadata: + labels: + app: persistence + spec: + automountServiceAccountToken: false + containers: + - name: persistence + image: ghcr.io/your-org/otel-bi-backend:latest + imagePullPolicy: IfNotPresent + command: + [ + "uvicorn", + "microservices.persistence.main:app", + "--host", + "0.0.0.0", + "--port", + "8000", + ] + envFrom: + - configMapRef: + name: bi-platform-config + - secretRef: + name: bi-platform-secrets + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: ["ALL"] + runAsNonRoot: true + runAsUser: 10001 + seccompProfile: + type: RuntimeDefault + ports: + - containerPort: 8000 +--- +apiVersion: v1 +kind: Service +metadata: + name: persistence + namespace: bi-platform +spec: + selector: + app: persistence + ports: + - port: 8000 + targetPort: 8000