diff --git a/.gitignore b/.gitignore index a59e22d..1d7c3ab 100644 --- a/.gitignore +++ b/.gitignore @@ -43,3 +43,7 @@ share/python-wheels/ #envrc .envrc + +ingest_service/common/* +rest_api/common/* +processor_service/common/* diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index f811bc6..1bd2142 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -21,8 +21,6 @@ repos: stages: [pre-commit] - id: detect-private-key stages: [pre-commit] - - id: check-added-large-files - stages: [pre-commit] # clang-format uses .clang-format to apply formatting - repo: https://github.com/pre-commit/mirrors-clang-format rev: v18.1.7 diff --git a/CHANGELOG.md b/CHANGELOG.md index 6258a8f..5bc7305 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,3 +5,11 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) ## [Unreleased] + +### [Added] + +- Ingest Service +- Processor Service +- REST API +- Mock Device into Ingest Service +- Docker compose system architecture diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..8dde1a5 --- /dev/null +++ b/Makefile @@ -0,0 +1,15 @@ +# these will speed up builds, for docker-compose >= 1.25 +export COMPOSE_DOCKER_CLI_BUILD=1 +export DOCKER_BUILDKIT=1 + +dev-up: + docker compose -f docker-compose-dev.yml -p ajdovscina-dev up --build + +dev-down: + docker compose -f docker-compose-dev.yml -p ajdovscina-dev down --remove-orphans + +prod-up: + docker compose -f docker-compose-prod.yml -p ajdovscina-prod up --build + +prod-down: + docker compose -f docker-compose-prod.yml -p ajdovscina-prod down --remove-orphans diff --git a/README.md b/README.md index aaf1cb4..4cf97ae 100644 --- a/README.md +++ b/README.md @@ -1,63 +1,112 @@ -# Irnas's Projects template +# Ajdovscina Cloud Software -IRNAS template for a GitHub repository. It comes with a -[basic group](https://github.com/IRNAS/irnas-workflows-software/tree/main/workflow-templates/basic) -of CI workflows for release automation. +This repository contains code related to the `ajdovscina` project, which is a system for sensor data +ingestion from various endpoints and a REST API to expose this data. -## Checklist +## Architecture -### General GitHub setup +The system is designed with a microservices architecture, where each component is responsible for a +specific functionality. The main components include: -- [ ] Provide a concise and accurate description of your project in the GitHub "description" field. -- [ ] Provide a concise and accurate description of your project in this `README.md` file, replace - the default title. -- [ ] Ensure that your project follows [repository naming scheme]. -- [ ] Add a project logo to the `README.md` file. The logo should be placed in the `doc/images` - folder. Use the following syntax to include it: +- **Data Ingestion Service**: Responsible for collecting data from various sensor endpoints. +- **Data Processing Service**: Processes the ingested data, applying any necessary transformations + or aggregations. +- **API Gateway**: Exposes a REST API for clients to access the processed data. - ```markdown - ![Project Logo](doc/images/logo.svg) - ``` +## Folder Structure -[repository naming scheme]: - https://github.com/IRNAS/irnas-guidelines-docs/blob/main/docs/github_projects_guidelines.md#repository-naming-scheme- +```text +โ””โ”€โ”€ ๐Ÿ“ajdovscina-cloud-software + โ””โ”€โ”€ ๐Ÿ“alertmanager + โ””โ”€โ”€ ๐Ÿ“common + โ””โ”€โ”€ ๐Ÿ“logging + โ””โ”€โ”€ ๐Ÿ“dockerfiles + โ””โ”€โ”€ ๐Ÿ“docs + โ””โ”€โ”€ ๐Ÿ“architecture + โ”œโ”€โ”€ ajdovscina-architecture.drawio + โ””โ”€โ”€ ๐Ÿ“images + โ””โ”€โ”€ ๐Ÿ“grafana + โ””โ”€โ”€ ๐Ÿ“dashboards + โ””โ”€โ”€ ๐Ÿ“ingest_service + โ””โ”€โ”€ ๐Ÿ“models + โ””โ”€โ”€ ๐Ÿ“util + โ”œโ”€โ”€ Makefile + โ””โ”€โ”€ ๐Ÿ“init + โ”œโ”€โ”€ postgres.sql + โ””โ”€โ”€ ๐Ÿ“mock + โ””โ”€โ”€ ๐Ÿ“ingest_service + โ””โ”€โ”€ ๐Ÿ“processor_service + โ””โ”€โ”€ ๐Ÿ“src + โ””โ”€โ”€ ๐Ÿ“util + โ”œโ”€โ”€ Makefile + โ””โ”€โ”€ ๐Ÿ“prometheus + โ””โ”€โ”€ ๐Ÿ“rest_api + โ””โ”€โ”€ ๐Ÿ“models + โ””โ”€โ”€ ๐Ÿ“src + โ””โ”€โ”€ ๐Ÿ“util + โ”œโ”€โ”€ Makefile + โ”œโ”€โ”€ .gitignore + โ”œโ”€โ”€ .prettierrc + โ”œโ”€โ”€ committed.toml + โ”œโ”€โ”€ Makefile + โ”œโ”€โ”€ ruff.toml + โ””โ”€โ”€ typos.toml +``` -### Tooling +## Deployment -- [ ] Turn on `pre-commit` tool by running `pre-commit install`. If you do not have it yet, follow - instructions - [here](https://github.com/IRNAS/irnas-guidelines-docs/tree/main/tools/pre-commit). **Note**: - This tool is optional for mechanical and electronic projects. +Deployment is done via `docker`. The system can be run in development or production mode. -### Non-software projects +To start the system in development mode, use the following command: -- [ ] If needed re-read [GitHub for non-software projects] section. It describes what files should - be committed to the repository and what files should be added to the release assets. -- [ ] Create `assets` folder with files that will be part of the next release. The files in this - folder will be automatically compressed into a zip file and attached to the release assets - during the release process. The files should be added to the `assets` folder before creating - the first release. This step is **optional**, it depends on the type of your project. +```bash +make dev-up +``` -[GitHub for non-software projects]: - https://github.com/IRNAS/irnas-guidelines-docs/blob/main/docs/github_projects_guidelines.md#github-for-non-software-projects- +To stop the system in development mode, use: -### Cleanup +```bash +make dev-down +``` -- [ ] If you don't want to use `pre-commit` tool delete the following files: - - `.markdownlint.yaml` - - `.pre-commit-config.yaml` - - `.prettierrc.yaml` - - `committed.toml` - - `ruff.toml` - - `typos.toml` - - `.github/workflows/pre-commit.yaml` -- [ ] As a final step delete this checklist and commit changes. +For production mode, use: -## Repository folder structure +```bash +make prod-up +``` -- `docs/` - Project and development documentation. -- `docs/images/` - Images used in the documentation, such as diagrams, screenshots, or logos. -- `assets/` - Files that will be part of the next release process. -- `CHANGELOG.md` - Document used for tracking changes in the project. It follows the - [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) format. -- `.github` - GitHub Actions workflows and other GitHub related files. +And to stop the production system: + +```bash +make prod-down +``` + +> [!IMPORTANT] Each of the services can be deployed independently using their respective makefiles. + +### Configuration and Constants + +Before deploying the system, you need to configure certain environment variables and constants. This +can be done by creating a `constants.py` file in specific directories. + +The following constants need to be defined in these folders: + +#### common/constants.py + +The constants found in the common/constants.py file are used throughout the application for +consistent configuration. + +```python +import logging + +LOG_LEVEL = logging.INFO + +DB_CONFIG = { + "dbname": "", # Database name + "user": "", # Database user + "password": "", # Database password + "host": "", # Internal database host + "port": , # Internal port +} + +API_KEY = "your-secret-api-key" # Replace with your actual key +``` diff --git a/alertmanager/README.md b/alertmanager/README.md new file mode 100644 index 0000000..bafb098 --- /dev/null +++ b/alertmanager/README.md @@ -0,0 +1,52 @@ +# Alertmanager + +The `Alertmanager` is +[part of Prometheus](https://prometheus.io/docs/alerting/latest/alertmanager/), used to handle +alerts sent by Prometheus server or other clients. + +In our case, the `Alertmanager` is configured to send alerts to a dedicated `Slack` channel. It can +be configured to send alerts to multiple `Slack` channels or other endpoints. + +## Slack integration + +A handy guide on `Slack` integration provided by Grafana is available +[on this link](https://grafana.com/blog/2020/02/25/step-by-step-guide-to-setting-up-prometheus-alertmanager-with-slack-pagerduty-and-gmail/). + +Configuration of `Slack webhooks` is described in the official `Slack` +[documentation](https://api.slack.com/messaging/webhooks). + +The rules we use to trigger alerts are defined in the `alertmanager.yml` file. + +Prometheus also needs to be configured properly, the following configuration in the `prometheus.yml` +file is required: + +```yaml +alerting: + # Alert manager instance + alertmanagers: + - static_configs: + - targets: + - alert-manager:9093 +``` + +Furthermore, the `rules.yml` file contains the rules that trigger alerts: + +```yaml +# Prometheus rules for alerting +# Alerts trigger when the conditions defined in the rules are met + +groups: + - name: InstanceDown + rules: + - alert: InstanceDown + expr: up == 0 + for: 1m + # Annotation - additional informational labels to store more information + annotations: + title: "Instance {{ $labels.instance }} down" + description: + "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 1 minute." + # Labels - additional labels to be attached to the alert + labels: + severity: "critical" +``` diff --git a/alertmanager/alertmanager.yml b/alertmanager/alertmanager.yml new file mode 100644 index 0000000..ff75f6c --- /dev/null +++ b/alertmanager/alertmanager.yml @@ -0,0 +1,38 @@ +# Alertmanager configuration +# Defines the notification routes and the external systems they communicate with + +global: + resolve_timeout: 1m + slack_api_url: 'https://hooks.slack.com/services/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' # TODO: Hide this in a secret + +route: + receiver: 'slack-notifications' + +receivers: +- name: 'slack-notifications' + slack_configs: + - channel: '#telespor-alerts' + send_resolved: true + icon_url: https://avatars3.githubusercontent.com/u/3380462 + title: |- + [{{ .Status | toUpper }}{{ if eq .Status "firing" }}:{{ .Alerts.Firing | len }}{{ end }}] {{ .CommonLabels.alertname }} for {{ .CommonLabels.job }} + {{- if gt (len .CommonLabels) (len .GroupLabels) -}} + {{" "}}( + {{- with .CommonLabels.Remove .GroupLabels.Names }} + {{- range $index, $label := .SortedPairs -}} + {{ if $index }}, {{ end }} + {{- $label.Name }}="{{ $label.Value -}}" + {{- end }} + {{- end -}} + ) + {{- end }} + text: >- + {{ range .Alerts -}} + *Alert:* {{ .Annotations.title }}{{ if .Labels.severity }} - `{{ .Labels.severity }}`{{ end }} + + *Description:* {{ .Annotations.description }} + + *Details:* + {{ range .Labels.SortedPairs }} โ€ข *{{ .Name }}:* `{{ .Value }}` + {{ end }} + {{ end }} diff --git a/common/authentication.py b/common/authentication.py new file mode 100644 index 0000000..aa727a4 --- /dev/null +++ b/common/authentication.py @@ -0,0 +1,17 @@ +from fastapi import Depends, HTTPException, status +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer + +from common.constants import API_KEY + +security = HTTPBearer() + + +def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)): + """Verify the API key from the Authorization header.""" + token = credentials.credentials + if token != API_KEY: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid API key", + ) + return token diff --git a/common/constants.py b/common/constants.py new file mode 100644 index 0000000..fe0f2b0 --- /dev/null +++ b/common/constants.py @@ -0,0 +1,17 @@ +import logging +import os + +LOG_LEVEL = logging.INFO + +localhost = os.environ.get("LOCALHOST") == "true" + +# Localhost config +DB_CONFIG = { + "dbname": "ajdovscina", + "user": "ajdovscina-geospatial-user", + "password": "password", + "host": "localhost" if localhost else "geospatial-data", + "port": 13328 if localhost else 5432, +} + +API_KEY = "your-secret-api-key" # Replace with your actual key diff --git a/common/logging/logger.py b/common/logging/logger.py new file mode 100644 index 0000000..9e50a45 --- /dev/null +++ b/common/logging/logger.py @@ -0,0 +1,136 @@ +# ruff: noqa: D107 + +"""This module is a custom wrapper around the Python logging module. + +It can be used to log messages to the console and to the Flask logger. +""" + +import logging +import sys + +from common.constants import LOG_LEVEL + + +class ColoredFormatter(logging.Formatter): + """Formatter that outputs colored logs based on level.""" + + COLORS = { + "DEBUG": "\033[94m", # Blue + "INFO": "\033[92m", # Green + "WARNING": "\033[93m", # Yellow + "ERROR": "\033[91m", # Red + "CRITICAL": "\033[91m\033[1m", # Bold Red + "RESET": "\033[0m", # Reset + } + + def __init__(self, fmt=None, datefmt=None, style="%", use_color=True): + super().__init__(fmt, datefmt, style) + self.use_color = ( + use_color and sys.stdout.isatty() + ) # Use color only if supported + + # Parse the format to separate prefix and message parts + if fmt and "%(" in fmt: + parts = fmt.split("%(message)s") + self.prefix_fmt = parts[0] + self.suffix_fmt = parts[1] if len(parts) > 1 else "" + else: + self.prefix_fmt = fmt + self.suffix_fmt = "" + + def format(self, record): + """Format the log record.""" + # Save the original module name + original_name = record.name + # Set module name to just the last part + record.name = original_name.split(".")[-1] + + if self.use_color: + # Get color based on log level + levelname = record.levelname + color = self.COLORS.get(levelname, self.COLORS["RESET"]) + + # Format only the prefix with color + prefix_formatter = logging.Formatter(self.prefix_fmt, self.datefmt) + prefix = prefix_formatter.format(record) + colored_prefix = f"{color}{prefix}{self.COLORS['RESET']}" + + # Format the message part separately (no coloring) + message = record.getMessage() + + # Format any suffix if needed + suffix = "" + if self.suffix_fmt: + suffix_formatter = logging.Formatter(self.suffix_fmt, self.datefmt) + suffix = suffix_formatter.format(record) + + # Combine the parts + formatted_msg = f"{colored_prefix}{message}{suffix}" + else: + # Regular formatting without color + formatted_msg = super().format(record) + + # Restore original name + record.name = original_name + return formatted_msg + + +root_logger = logging.getLogger() +# Clear existing handlers +for handler in root_logger.handlers[:]: + root_logger.removeHandler(handler) + +# Add our custom handler +handler = logging.StreamHandler() +formatter = ColoredFormatter( + fmt="[%(asctime)s][%(levelname)s][%(name)s:%(lineno)d] %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", # This format explicitly excludes milliseconds + use_color=True, +) +handler.setFormatter(formatter) +root_logger.addHandler(handler) +root_logger.setLevel(LOG_LEVEL) + +logging.getLogger("werkzeug").setLevel(logging.DEBUG) +logging.getLogger("paramiko.transport").setLevel(logging.WARNING) +logging.getLogger("kafka").setLevel(logging.WARNING) + + +class Logger: + """Custom logger class, used to log messages to the console and to the Flask logger.""" + + def __init__(self, logger, console_enabled=False): + """Custom logger class, used to log messages to the console and to the Flask logger. + + All formatted prints must be f-string formatted. + """ + self.logger = logger + self.console_enabled = console_enabled + + def info(self, message): + """Print message to console and Flask logger.""" + if self.console_enabled: + print(f"INFO: {message}") + if self.logger: + self.logger.info(message) + + def error(self, message): + """Print error message to console and Flask logger.""" + if self.console_enabled: + print(f"ERROR: {message}") + if self.logger: + self.logger.error(message) + + def warning(self, message): + """Print warning message to console and Flask logger.""" + if self.console_enabled: + print(f"WARNING: {message}") + if self.logger: + self.logger.warning(message) + + def debug(self, message): + """Print debug message to console and Flask logger.""" + if self.console_enabled: + print(f"DEBUG: {message}") + if self.logger: + self.logger.debug(message) diff --git a/docker-compose-dev.yml b/docker-compose-dev.yml new file mode 100644 index 0000000..ed0bcc4 --- /dev/null +++ b/docker-compose-dev.yml @@ -0,0 +1,216 @@ +services: + + # ingest-service: + # container_name: ajdovscina-ingest-service + # build: + # context: . + # dockerfile: ./dockerfiles/Dockerfile.updated-udp-receiver + # # flask requires SIGINT to stop gracefully + # # (default stop signal from Compose is SIGTERM) + # environment: + # - ENV=development + # - LOCALHOST=false + # - PYTHONUNBUFFERED=1 + # logging: + # driver: "local" + # options: + # max-size: "50M" + # max-file: "3" + # stop_signal: SIGINT + # labels: + # - "autoheal=true" + # healthcheck: + # test: curl --fail http://localhost:5000/health-check || exit 1 + # interval: 60s + # timeout: 30s + # retries: 3 + # start_period: 30s + # depends_on: + # kafka: + # condition: service_healthy + # telespor-cloud-mysqldb: + # condition: service_healthy + # ports: + # - 40005:5000 + # expose: + # - 40005 + + nodered: + image: nodered/node-red:3.1.15-minimal + container_name: ajdovscina-nodered + ports: + - "11880:1880" # Exposes Node-RED UI on http://localhost:1880 + volumes: + - nodered-data:/data # Persist flows and configuration + restart: unless-stopped + + geospatial-data: + container_name: ajdovscina-geospatial-data + image: timescale/timescaledb-ha:pg17-all-amd64 + restart: always + environment: + POSTGRES_DB: "ajdovscina" + POSTGRES_USER: "ajdovscina-geospatial-user" + POSTGRES_PASSWORD: "password" + ports: + - "13328:5432" + volumes: + - ajdovscina-geospatial-db:/var/lib/postgresql/data:rw + - ./init/postgres.sql:/docker-entrypoint-initdb.d/1.sql + healthcheck: + test: ["CMD-SHELL", "pg_isready -U ajdovscina-geospatial-user -d ajdovscina"] + timeout: 2s + retries: 2 + + geospatial-data-exporter: + container_name: ajdovscina-geospatial-exporter + image: quay.io/prometheuscommunity/postgres-exporter:v0.17.0 + environment: + - DATA_SOURCE_NAME=postgresql://ajdovscina-geospatial-user:password@geospatial-data:5432/ajdovscina?sslmode=disable + ports: + - 9204:9187 + links: + - geospatial-data + depends_on: + - geospatial-data + + grafana: + container_name: ajdovscina-grafana + image: grafana/grafana-enterprise:10.2.2 + restart: always + environment: + - GF_SECURITY_ADMIN_USER=admin + - GF_SECURITY_ADMIN_PASSWORD=password + - GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/var/lib/grafana/dashboards/dashboard.json + ports: + - "13201:3000" + volumes: + - grafana-volume:/var/lib/grafana + + prometheus: + container_name: ajdovscina-prometheus + image: prom/prometheus:v3.1.0 + restart: always + volumes: + - ./prometheus:/etc/prometheus + - prometheus-volume:/prometheus + command: + - "--config.file=/etc/prometheus/prometheus-dev.yml" + - "--log.level=debug" + ports: + - 19290:9090 + + node-exporter: + container_name: ajdovscina-node-exporter + image: prom/node-exporter:v1.8.2 + restart: always + volumes: + - /proc:/host/proc:ro + - /sys:/host/sys:ro + - /:/rootfs:ro + command: + - '--path.procfs=/host/proc' + - '--path.rootfs=/rootfs' + - '--path.sysfs=/host/sys' + - '--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)' + ports: + - "19200:9100" + + autoheal: + container_name: ajdovscina-autoheal + image: willfarrell/autoheal:latest + tty: true + restart: always + environment: + - AUTOHEAL_INTERVAL=60 + - AUTOHEAL_START_PERIOD=120 + - AUTOHEAL_DEFAULT_STOP_TIMEOUT=10 + volumes: + - /var/run/docker.sock:/var/run/docker.sock + + alert-manager: + image: prom/alertmanager:v0.28.0 + volumes: + - "./alertmanager:/config" # Mount local alertmanager config to container + - alertmanager:/data + ports: + - 19193:9093 + command: + - "--config.file=/config/alertmanager.yml" # Start alertmanager with config + - "--log.level=debug" + + zookeeper: + image: confluentinc/cp-zookeeper:7.8.0 + ports: + - "2281:2181" + environment: + ZOOKEEPER_CLIENT_PORT: 2181 + healthcheck: + test: nc -z localhost 2181 || exit -1 + interval: 10s + timeout: 5s + retries: 3 + labels: + - "autoheal=true" + volumes: + - zookeeper-data:/var/lib/zookeeper/data + - zookeeper-log:/var/lib/zookeeper/log + + kafka: + image: confluentinc/cp-kafka:7.8.0 + container_name: ajdovscina-kafka + environment: + KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9993,OUTSIDE://localhost:9992 + KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT + KAFKA_LISTENERS: INSIDE://0.0.0.0:9993,OUTSIDE://0.0.0.0:9992 + KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE + KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181 + KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 + ports: + - "9992:9992" + expose: + - "9993" + volumes: + - /var/run/docker.sock:/var/run/docker.sock + - kafka-data:/var/lib/kafka/data + depends_on: + - zookeeper + healthcheck: + test: kafka-topics --bootstrap-server localhost:9992 --list + interval: 5s + timeout: 10s + retries: 5 + labels: + - "autoheal=true" + + kafka-exporter: + image: danielqsj/kafka-exporter:v1.8.0 + command: ["--kafka.server=kafka:9993"] + depends_on: + kafka: + condition: service_healthy + ports: + - 9328:9308 + + postgres-exporter: + image: quay.io/prometheuscommunity/postgres-exporter:v0.16.0 + container_name: ajdovscina-postgres-exporter + environment: + - DATA_SOURCE_NAME=postgresql://username:password@172.17.0.1:5432/postgres?sslmode=disable + ports: + - 9287:9187 + + +volumes: + grafana-volume: + + prometheus-volume: + alertmanager: + + ajdovscina-geospatial-db: + + nodered-data: + + kafka-data: + zookeeper-data: + zookeeper-log: diff --git a/docker-compose-prod.yml b/docker-compose-prod.yml new file mode 100644 index 0000000..84c3045 --- /dev/null +++ b/docker-compose-prod.yml @@ -0,0 +1,277 @@ +services: + + ingest-service: + container_name: ajdovscina-ingest-service + build: + context: . + dockerfile: ./dockerfiles/Dockerfile.ingest-service + # flask requires SIGINT to stop gracefully + # (default stop signal from Compose is SIGTERM) + environment: + - ENV=development + - LOCALHOST=false + - PYTHONUNBUFFERED=1 + logging: + driver: "local" + options: + max-size: "50M" + max-file: "3" + stop_signal: SIGINT + labels: + - "autoheal=true" + healthcheck: + test: curl --fail http://localhost:5000/health-check || exit 1 + interval: 60s + timeout: 30s + retries: 3 + start_period: 30s + depends_on: + kafka: + condition: service_healthy + geospatial-data: + condition: service_healthy + ports: + - 40005:5000 + expose: + - 40005 + + rest-api: + container_name: ajdovscina-rest-api + build: + context: . + dockerfile: ./dockerfiles/Dockerfile.rest-api + # flask requires SIGINT to stop gracefully + # (default stop signal from Compose is SIGTERM) + environment: + - ENV=development + - LOCALHOST=false + - PYTHONUNBUFFERED=1 + logging: + driver: "local" + options: + max-size: "50M" + max-file: "3" + stop_signal: SIGINT + labels: + - "autoheal=true" + healthcheck: + test: curl --fail http://localhost:5005/health-check || exit 1 + interval: 60s + timeout: 30s + retries: 3 + start_period: 30s + depends_on: + kafka: + condition: service_healthy + geospatial-data: + condition: service_healthy + ports: + - 41005:5005 + expose: + - 41005 + + ajdovscina-processor: + container_name: ajdovscina-processor + build: + context: . + dockerfile: ./dockerfiles/Dockerfile.processor-service + environment: + - PYTHONUNBUFFERED=1 + - LOCALHOST=false + logging: + driver: "local" + options: + max-size: "50M" + max-file: "3" + stop_signal: SIGINT + labels: + - "autoheal=true" + healthcheck: + test: curl --fail http://localhost:6000/health-check || exit 1 + interval: 60s + timeout: 30s + retries: 3 + start_period: 30s + depends_on: + kafka: + condition: service_healthy + + nodered: + image: nodered/node-red:3.1.15-minimal + container_name: ajdovscina-nodered + ports: + - "11880:1880" # Exposes Node-RED UI on http://localhost:1880 + volumes: + - nodered-data:/data # Persist flows and configuration + restart: unless-stopped + + geospatial-data: + container_name: ajdovscina-geospatial-data + image: timescale/timescaledb-ha:pg17-all-amd64 + restart: always + environment: + POSTGRES_DB: "ajdovscina" + POSTGRES_USER: "ajdovscina-geospatial-user" + POSTGRES_PASSWORD: "password" + ports: + - "13328:5432" + volumes: + - ajdovscina-geospatial-db:/var/lib/postgresql/data:rw + - ./init/postgres.sql:/docker-entrypoint-initdb.d/1.sql + healthcheck: + test: ["CMD-SHELL", "pg_isready -U ajdovscina-geospatial-user -d ajdovscina"] + timeout: 2s + retries: 2 + + geospatial-data-exporter: + container_name: ajdovscina-geospatial-exporter + image: quay.io/prometheuscommunity/postgres-exporter:v0.17.0 + environment: + - DATA_SOURCE_NAME=postgresql://ajdovscina-geospatial-user:password@geospatial-data:5432/ajdovscina?sslmode=disable + ports: + - 9204:9187 + links: + - geospatial-data + depends_on: + - geospatial-data + + grafana: + container_name: ajdovscina-grafana + image: grafana/grafana-enterprise:10.2.2 + restart: always + environment: + - GF_SECURITY_ADMIN_USER=admin + - GF_SECURITY_ADMIN_PASSWORD=password + - GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/var/lib/grafana/dashboards/dashboard.json + ports: + - "13201:3000" + volumes: + - grafana-volume:/var/lib/grafana + + prometheus: + container_name: ajdovscina-prometheus + image: prom/prometheus:v3.1.0 + restart: always + volumes: + - ./prometheus:/etc/prometheus + - prometheus-volume:/prometheus + command: + - "--config.file=/etc/prometheus/prometheus-dev.yml" + - "--log.level=debug" + ports: + - 19290:9090 + + node-exporter: + container_name: ajdovscina-node-exporter + image: prom/node-exporter:v1.8.2 + restart: always + volumes: + - /proc:/host/proc:ro + - /sys:/host/sys:ro + - /:/rootfs:ro + command: + - '--path.procfs=/host/proc' + - '--path.rootfs=/rootfs' + - '--path.sysfs=/host/sys' + - '--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)' + ports: + - "19200:9100" + + autoheal: + container_name: ajdovscina-autoheal + image: willfarrell/autoheal:latest + tty: true + restart: always + environment: + - AUTOHEAL_INTERVAL=60 + - AUTOHEAL_START_PERIOD=120 + - AUTOHEAL_DEFAULT_STOP_TIMEOUT=10 + volumes: + - /var/run/docker.sock:/var/run/docker.sock + + alert-manager: + image: prom/alertmanager:v0.28.0 + volumes: + - "./alertmanager:/config" # Mount local alertmanager config to container + - alertmanager:/data + ports: + - 19193:9093 + command: + - "--config.file=/config/alertmanager.yml" # Start alertmanager with config + - "--log.level=debug" + + zookeeper: + image: confluentinc/cp-zookeeper:7.8.0 + ports: + - "2281:2181" + environment: + ZOOKEEPER_CLIENT_PORT: 2181 + healthcheck: + test: nc -z localhost 2181 || exit -1 + interval: 10s + timeout: 5s + retries: 3 + labels: + - "autoheal=true" + volumes: + - zookeeper-data:/var/lib/zookeeper/data + - zookeeper-log:/var/lib/zookeeper/log + + kafka: + image: confluentinc/cp-kafka:7.8.0 + container_name: ajdovscina-kafka + environment: + KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka:9993,OUTSIDE://localhost:9992 + KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT + KAFKA_LISTENERS: INSIDE://0.0.0.0:9993,OUTSIDE://0.0.0.0:9992 + KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE + KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181 + KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 + ports: + - "9992:9992" + expose: + - "9993" + volumes: + - /var/run/docker.sock:/var/run/docker.sock + - kafka-data:/var/lib/kafka/data + depends_on: + - zookeeper + healthcheck: + test: kafka-topics --bootstrap-server localhost:9992 --list + interval: 5s + timeout: 10s + retries: 5 + labels: + - "autoheal=true" + + kafka-exporter: + image: danielqsj/kafka-exporter:v1.8.0 + command: ["--kafka.server=kafka:9993"] + depends_on: + kafka: + condition: service_healthy + ports: + - 9328:9308 + + postgres-exporter: + image: quay.io/prometheuscommunity/postgres-exporter:v0.16.0 + container_name: ajdovscina-postgres-exporter + environment: + - DATA_SOURCE_NAME=postgresql://username:password@172.17.0.1:5432/postgres?sslmode=disable + ports: + - 9287:9187 + + +volumes: + grafana-volume: + + prometheus-volume: + alertmanager: + + ajdovscina-geospatial-db: + + nodered-data: + + kafka-data: + zookeeper-data: + zookeeper-log: diff --git a/dockerfiles/Dockerfile.ingest-service b/dockerfiles/Dockerfile.ingest-service new file mode 100644 index 0000000..f82c2b5 --- /dev/null +++ b/dockerfiles/Dockerfile.ingest-service @@ -0,0 +1,17 @@ +FROM python:3.10 + +WORKDIR /ingest_service + +# Install dependencies +COPY ingest_service/requirements.txt requirements.txt +RUN pip3 install -r requirements.txt + +# Copy application code +COPY ingest_service/ . +COPY common/ ./common/ + +# Expose the port that uvicorn will run on +EXPOSE 5000 + +# Command to run the service +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "5000"] diff --git a/dockerfiles/Dockerfile.processor-service b/dockerfiles/Dockerfile.processor-service new file mode 100644 index 0000000..24fff0b --- /dev/null +++ b/dockerfiles/Dockerfile.processor-service @@ -0,0 +1,14 @@ +FROM python:3.10 + +WORKDIR /processor_service + +# Install dependencies +COPY processor_service/requirements.txt requirements.txt +RUN pip3 install -r requirements.txt + +# Copy application code +COPY processor_service/ . +COPY common/ ./common/ + +# Command to run the service +CMD ["python3", "main.py"] diff --git a/dockerfiles/Dockerfile.rest-api b/dockerfiles/Dockerfile.rest-api new file mode 100644 index 0000000..40a8c93 --- /dev/null +++ b/dockerfiles/Dockerfile.rest-api @@ -0,0 +1,17 @@ +FROM python:3.10 + +WORKDIR /rest_api + +# Install dependencies +COPY rest_api/requirements.txt requirements.txt +RUN pip3 install -r requirements.txt + +# Copy application code +COPY rest_api/ . +COPY common/ ./common/ + +# Expose the port that uvicorn will run on +EXPOSE 51005 + +# Command to run the service +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "5005"] diff --git a/docs/architecture/ajdovscina-architecture.drawio b/docs/architecture/ajdovscina-architecture.drawio new file mode 100644 index 0000000..bee8f72 --- /dev/null +++ b/docs/architecture/ajdovscina-architecture.drawio @@ -0,0 +1,317 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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false, + "renderer": "flot", + "scopedVars": { + "Database": { + "selected": false, + "text": "grafana", + "value": "grafana" + } + }, + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "sum by (mode) (pg_locks_count{instance=\"$Instance\",datname=\"$Database\"})", + "legendFormat": "{{mode}}", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Locks by state", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "none", + "label": null, + "logBase": 1, + "max": null, + "min": "0", + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": "0", + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + }, + { + 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If temporary files are created, it can indicate insufficient work_mem. With log_temp_files the creation of temporary files are logged to the PostgreSQL Logfiles.", + "fieldConfig": { + "defaults": { + "custom": {} + }, + "overrides": [] + }, + "fill": 1, + "fillGradient": 0, + "gridPos": { + "h": 5, + "w": 12, + "x": 12, + "y": 31 + }, + "hiddenSeries": false, + "id": 132, + "legend": { + "alignAsTable": true, + "avg": true, + "current": true, + "hideEmpty": true, + "hideZero": true, + "max": true, + "min": false, + "show": true, + "total": false, + "values": true + }, + "lines": true, + "linewidth": 1, + "links": [ + { + "title": "PostgreSQL Resources", + "url": "https://www.postgresql.org/docs/current/runtime-config-resource.html" + } + ], + "nullPointMode": "null", + "options": { + "dataLinks": [] + }, + "percentage": false, + "pointradius": 2, + "points": false, + "renderer": "flot", + "scopedVars": { + "Database": { + "selected": false, + "text": "grafana", + "value": "grafana" + } + }, + "seriesOverrides": [], + "spaceLength": 10, + "stack": false, + "steppedLine": false, + "targets": [ + { + "expr": "rate(pg_stat_database_temp_files{instance=\"$Instance\",datname=\"$Database\"}[$Interval])", + "interval": "", + "legendFormat": "temp_files", + "refId": "A" + } + ], + "thresholds": [], + "timeFrom": null, + "timeRegions": [], + "timeShift": null, + "title": "Temporary files by database", + "tooltip": { + "shared": true, + "sort": 0, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "none", + "label": null, + "logBase": 1, + "max": null, + "min": "0", + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": "0", + "show": true + } + ], + "yaxis": { + "align": false, + "alignLevel": null + } + } + ], + "repeat": "Database", + "title": "Database: $Database", + "type": "row" + } + ], + "refresh": "", + "schemaVersion": 25, + "style": "dark", + "tags": [], + "templating": { + "list": [ + { + "allValue": null, + "current": {}, + "datasource": "${DS_OBSERVE-PROMETHEUS02}", + "definition": "label_values({job=\"postgres-exporter\"}, instance)", + "hide": 0, + "includeAll": false, + "label": null, + "multi": false, + "name": "Instance", + "options": [], + "query": "label_values({job=\"postgres-exporter\"}, instance)", + "refresh": 1, + "regex": "", + "skipUrlSync": false, + "sort": 0, + "tagValuesQuery": "", + "tags": [], + "tagsQuery": "", + "type": "query", + "useTags": false + }, + { + "allValue": null, + "current": {}, + "datasource": "${DS_OBSERVE-PROMETHEUS02}", + "definition": "label_values(datname)", + "hide": 0, + "includeAll": true, + "label": null, + "multi": true, + "name": "Database", + "options": [], + "query": "label_values(datname)", + "refresh": 1, + "regex": "/^(?!template*|postgres).*$/", + "skipUrlSync": false, + "sort": 1, + "tagValuesQuery": "", + "tags": [], + "tagsQuery": "", + "type": "query", + "useTags": false + }, + { + "auto": true, + "auto_count": 30, + "auto_min": "10s", + "current": { + "selected": false, + "text": "10m", + "value": "10m" + }, + "hide": 0, + "label": null, + "name": "Interval", + "options": [ + { + "selected": false, + "text": "auto", + "value": "$__auto_interval_Interval" + }, + { + "selected": false, + "text": "30sec", + "value": "30sec" + }, + { + "selected": false, + "text": "1m", + "value": "1m" + }, + { + "selected": true, + "text": "10m", + "value": "10m" + }, + { + "selected": false, + "text": "30m", + "value": "30m" + }, + { + "selected": false, + "text": "1h", + "value": "1h" + }, + { + "selected": false, + "text": "6h", + "value": "6h" + }, + { + "selected": false, + "text": "12h", + "value": "12h" + }, + { + "selected": false, + "text": "1d", + "value": "1d" + } + ], + "query": "30sec,1m,10m,30m,1h,6h,12h,1d", + "queryValue": "", + "refresh": 2, + "skipUrlSync": false, + "type": "interval" + } + ] + }, + "time": { + "from": "now-24h", + "to": "now" + }, + "timepicker": { + "refresh_intervals": [ + "1m", + "5m", + "15m", + "30m", + "1h", + "2h", + "1d" + ] + }, + "timezone": "", + "title": "PostgreSQL Exporter", + "uid": "v5ciIbUZz", + "version": 2, + "description": "postgres exporter Dashboard for display important postgreSQL metric" +} diff --git a/ingest_service/Makefile b/ingest_service/Makefile new file mode 100644 index 0000000..d124a11 --- /dev/null +++ b/ingest_service/Makefile @@ -0,0 +1,21 @@ +SHELL := /bin/bash + +clean: + rm -r -f ./common + +install: + cp -r ../common/ ./ + pip install -r requirements.txt + +run: clean install + bash -c "trap 'echo \"Cleaning up...\"; make clean' EXIT; uvicorn main:app --host 0.0.0.0 --port 50005" + +run-local-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=true && make run + +run-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=false && make run diff --git a/ingest_service/README.md b/ingest_service/README.md new file mode 100644 index 0000000..56a61b7 --- /dev/null +++ b/ingest_service/README.md @@ -0,0 +1,55 @@ +# Ingest Service + +The Ingest Service exposes POST API endpoints for applications to send data to the platform. It is +designed to handle various types of data formats and can be extended to support additional formats +as needed. + +The service is written in FastAPI and uses Pydantic for data validation. Data is then forwarded to +the [processor_service](../processor_service/README.md) for further processing. + +## Usage + +To start the Ingest Service run `make run-local-dev` from this directory. This will create a Python +virtual environment, install the required dependencies, and start the service on +`http://localhost:50005`. + +You can then send data to the service using HTTP POST requests. + +Currently available endpoints include: + +- `/ttn`: For data in the format forwarded by the Things Network (TTN). +- `/http`: For data in a generic HTTP format. + +## Data Format + +The service expects data in a predefined format, which is validated using Pydantic models. The data +structure is defined in the `models` directory. + +Even though the structure is predefined, what is variable is the actual data being sent, which can +differ based on the device and application. + +The data should be part of the `measurement` dictionary, which can contain any number of key-value +pairs representing the actual data being sent. The keys in this dictionary are not fixed and can +vary based on the device and application sending the data. + +### TTN + +The data sent by any TTN formation generally follows the same structure, therefore a Pydantic +validator is in place to ensure that the data conforms to the expected format. See the model in +`ingest_service/models/ttn.py` for details. + +### HTTP + +The `/http` endpoint is meant to be used by any other application that wants to send data to the +Ingest Service in a generic HTTP format. + +The sensor data structure is flexible and can be defined by the application sending the data. The +only requirement is that the data should be part of the `measurement` dictionary. + +See the `ingest_service/models/http.py` for the Pydantic model that validates the data sent to this +endpoint. + +## Mock Data Generation + +The `mock/ingest_service` directory contains scripts to generate mock data that can be ingested by +the service. This is useful for testing and development purposes. diff --git a/ingest_service/constants.py b/ingest_service/constants.py new file mode 100644 index 0000000..3b848fa --- /dev/null +++ b/ingest_service/constants.py @@ -0,0 +1,4 @@ +import os + +localhost = os.environ.get("LOCALHOST") == "true" +KAFKA_HOST = "localhost:9992" if localhost else "kafka:9993" diff --git a/ingest_service/main.py b/ingest_service/main.py new file mode 100644 index 0000000..ead2be7 --- /dev/null +++ b/ingest_service/main.py @@ -0,0 +1,121 @@ +import time +import traceback + +from constants import KAFKA_HOST +from fastapi import Depends, FastAPI, HTTPException, Request, Response, status +from fastapi.exceptions import RequestValidationError +from fastapi.responses import JSONResponse, PlainTextResponse, RedirectResponse +from kafka import KafkaProducer +from models.http import DataHTTP + +# Import the Pydantic models for the API requests +from models.ttn import DataTTN +from util.formatter import ( + format_http_data_for_processing, + format_ttn_data_for_processing, +) +from util.util import custom_value_serializer + +from common.authentication import verify_token + +# Initialize the Kafka producer with a custom serializer +producer = KafkaProducer( + bootstrap_servers=KAFKA_HOST, + key_serializer=str.encode, + value_serializer=custom_value_serializer, +) + +# Prepare the app +app = FastAPI( + title="Ingest Service", + summary="Service for ingesting device or mock data from various sources", +) + +# Health check constants +HEALTH_CHECK_INTERVAL_S = 300 # 5 minutes +last_update_time = time.time() + + +# Add custom exception handler to print more information about the 422 error +@app.exception_handler(RequestValidationError) +async def validation_exception_handler(request: Request, exc: RequestValidationError): + """Custom exception handler for request validation errors.""" + for err in exc.errors(): + print(err) + traceback.print_exc() + + return JSONResponse( + status_code=422, content={"detail": exc.errors(), "body": exc.body} + ) + + +# Define all routes +@app.get("/", include_in_schema=False) +def redirect_to_docs(): + """Redirect root path to the API documentation.""" + return RedirectResponse(url="/docs") + + +@app.post("/http", tags=["various"]) +async def ingest_data(data: DataHTTP, token: str = Depends(verify_token)): + """Ingest data from any source. This is a generic endpoint that can be used to ingest data from various sources.""" + try: + data_to_insert = format_http_data_for_processing(data) + except Exception as e: + raise HTTPException( + status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, + detail=f"Failed to format data: {str(e)}", + ) + + producer.send("process_data", key="http_service", value=data_to_insert.model_dump()) + + # Update last_update_time after successful processing + global last_update_time + last_update_time = time.time() + + return Response(status_code=200) + + +@app.post("/ttn", tags=["TTN"]) +async def ingest_data_ttn(data: DataTTN, token: str = Depends(verify_token)): + """Ingest data from TTN webhook.""" + data_to_insert = None + try: + data_to_insert = format_ttn_data_for_processing(data) + except Exception as e: + raise HTTPException( + status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, + detail=f"Failed to format TTN data: {str(e)}", + ) + + producer.send("process_data", key="ttn_service", value=data_to_insert.model_dump()) + + # Update last_update_time after successful processing + global last_update_time + last_update_time = time.time() + + # Process data here (e.g., store in DB) + return Response(status_code=200) + + +@app.get("/health-check", response_class=PlainTextResponse, include_in_schema=False) +def health_check(): + """Check if the service is running properly.""" + global last_update_time + + # Update the last update time to indicate the service is alive + current_time = time.time() + + # Check if service has been inactive for too long + if current_time - last_update_time > HEALTH_CHECK_INTERVAL_S: + return PlainTextResponse(content="Service has been inactive", status_code=500) + + # Update last_update_time + last_update_time = current_time + + # Check Kafka producer connection + try: + producer.metrics() # Get metrics to check if connection is alive + return PlainTextResponse(content="OK", status_code=200) + except Exception as e: + return PlainTextResponse(content=f"Service error: {str(e)}", status_code=500) diff --git a/ingest_service/models/general.py b/ingest_service/models/general.py new file mode 100644 index 0000000..b2f3e6b --- /dev/null +++ b/ingest_service/models/general.py @@ -0,0 +1,32 @@ +from datetime import datetime +from typing import Optional + +from pydantic import BaseModel + + +class Position(BaseModel): + """Data model for position information.""" + + latitude: float + longitude: float + altitude: Optional[float] = None + timestamp: Optional[int] = None + source: Optional[str] = None + + +class DataOut(BaseModel): + """Data model for outgoing data.""" + + sensor_name: str + application: str + measurement: dict + version: str + location: Optional[Position] = None + received_at: datetime + + class Config: + """Configuration for Pydantic model.""" + + json_encoders = { + Position: lambda v: v.model_dump() if v else None, + } diff --git a/ingest_service/models/http.py b/ingest_service/models/http.py new file mode 100644 index 0000000..944fbbb --- /dev/null +++ b/ingest_service/models/http.py @@ -0,0 +1,22 @@ +from datetime import datetime +from typing import Optional + +from models.general import Position +from pydantic import BaseModel + + +class DataHTTP(BaseModel): + """Data model for incoming HTTP data.""" + + sensor_name: str + application: str + measurement: dict + location: Optional[Position] = None + received_at: datetime + + class Config: + """Configuration for Pydantic model.""" + + json_encoders = { + Position: lambda v: v.model_dump() if v else None, + } diff --git a/ingest_service/models/ttn.py b/ingest_service/models/ttn.py new file mode 100644 index 0000000..d150a07 --- /dev/null +++ b/ingest_service/models/ttn.py @@ -0,0 +1,47 @@ +"""Maps TheThingsNetwork request structure to pydantic models.""" + +from datetime import datetime +from typing import Optional + +from models.general import Position +from pydantic import BaseModel, Field + + +class ApplicationIds(BaseModel): + """Data model for TTN application IDs.""" + + application_id: str + + +class DeviceInfoTTN(BaseModel): + """Data model for TTN device information.""" + + device_id: str + application_ids: ApplicationIds + + +class LocationTTN(BaseModel): + """Data model for TTN location information.""" + + frm_payload: Optional[Position] = Field(alias="frm-payload") + + class Config: + """Configuration for Pydantic model.""" + + validate_by_name = True # Allows using `frm_payload` when creating the object + + +class UplinkMessageTTN(BaseModel): + """Data model for TTN uplink message.""" + + f_port: int + decoded_payload: dict + locations: Optional[LocationTTN] = None + + +class DataTTN(BaseModel): + """Data model for TTN webhook data.""" + + end_device_ids: DeviceInfoTTN + uplink_message: UplinkMessageTTN + received_at: datetime diff --git a/ingest_service/requirements.txt b/ingest_service/requirements.txt new file mode 100644 index 0000000..d970352 --- /dev/null +++ b/ingest_service/requirements.txt @@ -0,0 +1,5 @@ +fastapi[all]==0.116.1 +psycopg2==2.9.10 +sqlalchemy==2.0.41 +requests==2.32.4 +kafka-python==2.0.2 diff --git a/ingest_service/util/formatter.py b/ingest_service/util/formatter.py new file mode 100644 index 0000000..01463aa --- /dev/null +++ b/ingest_service/util/formatter.py @@ -0,0 +1,56 @@ +"""Used to format data for API responses.""" + +from models.general import DataOut +from models.http import DataHTTP +from models.ttn import DataTTN + + +def format_ttn_data_for_processing(data: DataTTN) -> DataOut: + """We format the data for further processing and storage.""" + # Extract version from decoded_payload if it exists + version = data.uplink_message.decoded_payload.get( + "version", "v0" + ) # Set default to "v0" if not present + + # Remove version from decoded_payload if it exists + if "version" in data.uplink_message.decoded_payload: + del data.uplink_message.decoded_payload["version"] + + out_data = { + "sensor_name": data.end_device_ids.device_id, + "application": data.end_device_ids.application_ids.application_id, + "measurement": data.uplink_message.decoded_payload, + "version": version, + "location": data.uplink_message.locations.frm_payload.model_dump(), + "received_at": data.received_at, + } + + try: + return DataOut.model_validate(out_data) + except Exception as e: + raise e + + +def format_http_data_for_processing(data: DataHTTP) -> DataOut: + """We format the received data for further processing and storage.""" + version = data.measurement.get( + "version", "v0" + ) # Set default to "v0" if not present + + # Remove version from decoded_payload if it exists + if "version" in data.measurement: + del data.measurement["version"] + + out_data = { + "sensor_name": data.sensor_name, + "application": data.application, + "measurement": data.measurement, + "version": version, + "location": data.location.model_dump() if data.location else None, + "received_at": data.received_at.isoformat() if data.received_at else None, + } + + try: + return DataOut.model_validate(out_data) + except Exception as e: + raise e diff --git a/ingest_service/util/util.py b/ingest_service/util/util.py new file mode 100644 index 0000000..cc95387 --- /dev/null +++ b/ingest_service/util/util.py @@ -0,0 +1,13 @@ +import json +from datetime import date, datetime + + +def custom_value_serializer(value): + """Custom serializer to handle datetime objects.""" + + def default_serializer(obj): + if isinstance(obj, (date, datetime)): + return obj.isoformat() + raise TypeError(f"Type {type(obj)} not serializable") + + return json.dumps(value, default=default_serializer).encode("utf-8") diff --git a/init/postgres.sql b/init/postgres.sql new file mode 100644 index 0000000..dfc713e --- /dev/null +++ b/init/postgres.sql @@ -0,0 +1,144 @@ +CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE; +CREATE EXTENSION IF NOT EXISTS postgis; + +CREATE TABLE IF NOT EXISTS sensors ( + id SERIAL PRIMARY KEY, + sensor_uid UUID NOT NULL UNIQUE DEFAULT gen_random_uuid(), -- renamed to avoid confusion with PK + sensor_name VARCHAR(255) NOT NULL, -- Added for better identification + application_id INTEGER NOT NULL, + created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP +); + +-- This is generated programmatically first time sensor data is received + +-- CREATE TABLE IF NOT EXISTS water_level_data ( +-- id SERIAL PRIMARY KEY, +-- sensor_id INTEGER NOT NULL, +-- water_level DOUBLE PRECISION NOT NULL +-- ); + +-- CREATE TABLE IF NOT EXISTS fire_sensor_data ( +-- id SERIAL PRIMARY KEY , +-- sensor_id INTEGER NOT NULL, +-- temperature FLOAT NOT NULL, +-- smoke_level FLOAT NOT NULL +-- ); + +-- CREATE TABLE IF NOT EXISTS locations ( +-- id SERIAL PRIMARY KEY, +-- description TEXT NOT NULL, +-- name TEXT NOT NULL, +-- created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP +-- ); + +-- CREATE TABLE IF NOT EXISTS metadata ( +-- id SERIAL, +-- key TEXT NOT NULL, +-- value TEXT NOT NULL, +-- created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, +-- updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, +-- sensor_id INTEGER, +-- application_id INTEGER, +-- location_id INTEGER +-- ); + +-- Create metatable holding information about application and sensor + +CREATE TABLE IF NOT EXISTS applications( + id SERIAL PRIMARY KEY, + app_name TEXT NOT NULL, + description TEXT, + created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP +); + +CREATE TABLE IF NOT EXISTS application_measurements_registry( + id SERIAL PRIMARY KEY, + application_id INTEGER NOT NULL, + measurement_table_name TEXT NOT NULL, + created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP +); + + +-- Create hypertables + +-- CREATE TABLE IF NOT EXISTS positions ( +-- id INTEGER NOT NULL, +-- sensor_id INTEGER NOT NULL, +-- latitude DOUBLE PRECISION NOT NULL, +-- longitude DOUBLE PRECISION NOT NULL, +-- altitude FLOAT, +-- position_time TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, +-- geom GEOGRAPHY(Point, 4326), -- Geospatial column for geographic operations +-- PRIMARY KEY (id, sensor_id, position_time) +-- ); + +-- CREATE TABLE IF NOT EXISTS measurements ( +-- id INTEGER NOT NULL, +-- sensor_id INTEGER NOT NULL, +-- application_id INTEGER NOT NULL, +-- timestamp TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP, +-- PRIMARY KEY (id, sensor_id, application_id, timestamp) +-- ); + +-- 2.1. Create a geospatial index to improve spatial query performance +-- CREATE INDEX IF NOT EXISTS idx_positions_geom ON positions USING GIST (geom); +-- 2.2. Add unique constraint on deviceId and date to support ON CONFLICT operations + +-- SELECT create_hypertable('positions', 'position_time', 'sensor_id', if_not_exists => TRUE, number_partitions => 10); +-- SELECT create_hypertable('measurements', 'timestamp', 'sensor_id', if_not_exists => TRUE, number_partitions => 10); + +-- 3.2. Create additional indexes to optimize queries +-- CREATE INDEX IF NOT EXISTS idx_positions_id ON positions (id); +-- CREATE INDEX IF NOT EXISTS idx_measurements_timestamp ON measurements (timestamp); + +ALTER TABLE applications DROP CONSTRAINT IF EXISTS unique_application_name; +ALTER TABLE applications ADD CONSTRAINT unique_application_name UNIQUE (app_name); + +ALTER TABLE application_measurements_registry DROP CONSTRAINT IF EXISTS unique_application_registry; +ALTER TABLE application_measurements_registry ADD CONSTRAINT unique_application_registry UNIQUE(application_id, measurement_table_name); + +ALTER TABLE sensors DROP CONSTRAINT IF EXISTS unique_sensor_name; +ALTER TABLE sensors ADD CONSTRAINT unique_sensor_name UNIQUE (sensor_name); + +-- ----------------------------------------------------------------------------------- +-- 4. Establishing Referential Integrity +-- ----------------------------------------------------------------------------------- + +-- -- 4.5. Add a foreign key from `metadata.sensor_id` to `sensors.id` +-- ALTER TABLE metadata +-- ADD CONSTRAINT fk_metadata_sensors +-- FOREIGN KEY (sensor_id) +-- REFERENCES sensors(id) +-- ON DELETE CASCADE; + +-- -- 4.7. Add a foreign key from `metadata.location_id` to `location.id` +-- ALTER TABLE metadata +-- ADD CONSTRAINT fk_metadata_location +-- FOREIGN KEY (location_id) +-- REFERENCES locations(id) +-- ON DELETE CASCADE; + +ALTER TABLE application_measurements_registry +ADD CONSTRAINT fk_application_measurements_registry_applications +FOREIGN KEY (application_id) +REFERENCES applications(id) +ON DELETE CASCADE; + +ALTER TABLE sensors +ADD CONSTRAINT fk_sensors_applications +FOREIGN KEY (application_id) +REFERENCES applications(id); + +-- -- 4.8. Add a foreign key from `metadata.application_id` to `applications.id` +-- ALTER TABLE metadata +-- ADD CONSTRAINT fk_metadata_applications +-- FOREIGN KEY (application_id) +-- REFERENCES applications(id) +-- ON DELETE CASCADE; + +-- Warning: This affects all transactions on the PostgreSQL instance. +-- Required for high-volume FK operations. Requires PostgreSQL restart. +ALTER SYSTEM SET max_locks_per_transaction = 512; diff --git a/mock/ingest_service/README.md b/mock/ingest_service/README.md new file mode 100644 index 0000000..e311178 --- /dev/null +++ b/mock/ingest_service/README.md @@ -0,0 +1,36 @@ +# Mock data to ingest service + +This directory contains scripts used to generate mock data which is consumed by the ingest service. + +There are two examples available: + +## send.py + +This script mimics the data format forwarded by the Things Network (TTN) or an arbitrary HTTP client +(such as NodeRED for example) to the ingest service. It generates a specified amount of mock devices +with a specified number of mock applications and sends the specified number of messages. Each +message contains a random combination of the device/application pair. + +To run it use + +```bash +python send.py --devices 10 --applications 5 --messages 100 --type ttn +``` + +The script generates random data for any other type of devices and sends it to the ingest service +via HTTP POST requests. + +To run it use + +```bash +python send.py --devices 10 --applications 5 --messages 100 --type http +``` + +The arguments specified in the command line are: + +- `--devices`: Number of devices to generate. +- `--applications`: Number of applications to generate. +- `--messages`: Number of messages to send. If set to 0 it will send messages indefinitely. +- `--url`: URL of the ingest service to send the data to. Defaults to + `http://localhost:50005/`. +- `--type`: Type of the device, either `ttn` or `http`. diff --git a/mock/ingest_service/send.py b/mock/ingest_service/send.py new file mode 100644 index 0000000..8170c12 --- /dev/null +++ b/mock/ingest_service/send.py @@ -0,0 +1,186 @@ +"""This module is used to send mock data to the locally deployed ingestion service. + +It mocks the data format from TTN (The Things Network) and sends it to the ingestion service running on localhost:50005. +""" + +import argparse +import random +import time +from datetime import datetime + +import requests + +AUTH_TOKEN = "your-secret-api-key" + +headers = {"Authorization": f"Bearer {AUTH_TOKEN}", "Content-Type": "application/json"} + +device_ids = [f"mock-dev-{i:03d}" for i in range(1, 101)] +application_ids = [f"mock-app-{i}" for i in range(1, 10)] + + +def generate_http_data(sensor_name, application): + """Generate mock HTTP data for a given sensor and application.""" + return { + "sensor_name": sensor_name, + "application": application, + "measurement": generate_random_decoded_payload(), + "location": { + "latitude": random.uniform(-90, 90), + "longitude": random.uniform(-180, 180), + "altitude": random.randint(0, 5000), + }, + "received_at": datetime.now().isoformat(), + } + + +def generate_ttn_data(device_id, application_id): + """Generate mock TTN data for a given device and application.""" + return { + "end_device_ids": { + "device_id": device_id, + "application_ids": {"application_id": application_id}, + "dev_eui": "0000000000000000", + "join_eui": "0000000000000000", + "dev_addr": "00000000", + }, + "received_at": datetime.now().isoformat(), + "uplink_message": { + "session_key_id": "", + "f_port": 14, + "f_cnt": 1256661, + "frm_payload": "lAVCf1YBAA==", + "decoded_payload": generate_random_decoded_payload(), + "locations": { + "frm-payload": { + "latitude": 46.5581818, + "longitude": 15.6164958, + "altitude": 335, + "source": "SOURCE_GPS", + } + }, + }, + } + + +def generate_random_decoded_payload(): + """Generate random decoded payload dict with 0 to 15 values. The keys can be random and the values as well.""" + num_values = random.randint(0, 15) + decoded_payload = {} + + possible_columns = [ + "temperature", + "humidity", + "pressure", + "light", + "motion", + "battery", + "voltage", + "current", + "distance", + "speed", + "acceleration", + "gyroscope", + "magnetometer", + "gps_latitude", + "gps_longitude", + "gps_altitude", + "gps_accuracy", + "gps_speed", + "gps_heading", + "gps_satellites", + "gps_timestamp", + "note", + ] + + for _ in range(num_values): + key = "".join( + random.choice(possible_columns) + ) # Randomly select a key from the list + value = random.randint(-100, 100) # Random integer value + decoded_payload[key] = value + + # Add also a random version from v0 to v10 + version = random.randint(0, 10) + decoded_payload["version"] = f"v{version}" + + return decoded_payload + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Send mock TTN data to ingestion service." + ) + parser.add_argument( + "--num-devices", + type=int, + default=100, + help="Number of mock devices to generate (default: 100)", + ) + parser.add_argument( + "--num-applications", + type=int, + default=10, + help="Number of mock applications to generate (default: 10)", + ) + parser.add_argument( + "--num-messages", + type=int, + default=1000, + help="Number of mock messages to send (default: 1000). If set to zero it will run indefinitely.", + ) + parser.add_argument( + "--type", + type=str, + default="ttn", + choices=["ttn", "http"], + help="Type of data to send (default: ttn). If set to http, it will send data in general accepted format.", + ) + parser.add_argument( + "--url", + type=str, + default="http://localhost:50005/ttn", + help="URL of the ingestion service (default: http://localhost:50005/ttn)", + ) + args = parser.parse_args() + + # Generate device and application IDs based on the provided arguments + device_ids = [f"mock-dev-{i:03d}" for i in range(1, args.num_devices + 1)] + application_ids = [f"mock-app-{i}" for i in range(1, args.num_applications + 1)] + + # If num_messages is set to zero, we will run indefinitely + if args.num_messages == 0: + print("Running indefinitely. Press Ctrl+C to stop.") + + count = 0 + + # Check if url is default, if it is just use the type. If it isn't use the actual provided url + if args.url == "http://localhost:50005/ttn": + # If the URL is default, we will use the type to set the URL + url = f"http://localhost:50005/{args.type}" + else: + # If the URL is provided, we will use it + url = args.url + + while True: + if args.type == "ttn": + data = generate_ttn_data( + device_id=random.choice(device_ids), + application_id=random.choice(application_ids), + ) + if args.type == "http": + data = generate_http_data( + sensor_name=random.choice(device_ids), + application=random.choice(application_ids), + ) + response = requests.post(url, headers=headers, json=data) + + print(f"Sent message {count + 1}/{args.num_messages}") + + count += 1 + + if args.num_messages > 0 and count >= args.num_messages: + break + + time.sleep(0.001) + + print(f"Sent {count} messages. Exiting.") diff --git a/mock/ingest_service/ttn_example_message.json b/mock/ingest_service/ttn_example_message.json new file mode 100644 index 0000000..6937727 --- /dev/null +++ b/mock/ingest_service/ttn_example_message.json @@ -0,0 +1,89 @@ +{ + "end_device_ids": { + "device_id": "sp000000", + "application_ids": { + "application_id": "irnas-ranger-test" + }, + "dev_eui": "0000000000000000", + "join_eui": "0000000000000000", + "dev_addr": "00000000" + }, + "correlation_ids": [ + "gs:uplink:01K09ESCSX0Z453H21R0N2WH43" + ], + "received_at": "2025-07-16T11:09:19.243513998Z", + "uplink_message": { + "session_key_id": "AZT1Hy95A+QB1gq8y/xU3w==", + "f_port": 14, + "f_cnt": 1256661, + "frm_payload": "lAVCf1YBAA==", + "decoded_payload": { + "n_msg": 87679, + "percentage": 66 + }, + "rx_metadata": [ + { + "gateway_ids": { + "gateway_id": "eui-5030354168114750", + "eui": "5030354168114750" + }, + "time": "2025-07-16T11:08:07.250218Z", + "timestamp": 391259796, + "rssi": -77, + "channel_rssi": -77, + "snr": 11.25, + "location": { + "latitude": 46.55781635533368, + "longitude": 15.61647190301601, + "altitude": 280, + "source": "SOURCE_REGISTRY" + }, + "uplink_token": "CiIKIAoUZXVpLTUwMzAzNTQxNjgxMTQ3NTASCFAwNUFoEUdQEJTNyLoBGgsI35DewwYQpKDiECCg5JrHsaWeAQ==", + "channel_index": 1, + "received_at": "2025-07-16T11:09:19.009858908Z" + }, + { + "gateway_ids": { + "gateway_id": "nob2", + "eui": "58A0CBFFFE800BFE" + }, + "time": "2025-07-16T11:09:18.970252990Z", + "timestamp": 3952843548, + "rssi": -101, + "channel_rssi": -101, + "snr": 10.25, + "uplink_token": "ChIKEAoEbm9iMhIIWKDL//6AC/4QnLbu3A4aCwjfkN7DBhCAufAYIODK176F8AE=", + "received_at": "2025-07-16T11:09:19.023445494Z" + } + ], + "settings": { + "data_rate": { + "lora": { + "bandwidth": 125000, + "spreading_factor": 9, + "coding_rate": "4/5" + } + }, + "frequency": "868300000", + "timestamp": 391259796, + "time": "2025-07-16T11:08:07.250218Z" + }, + "received_at": "2025-07-16T11:09:19.037825402Z", + "consumed_airtime": "0.185344s", + "locations": { + "frm-payload": { + "latitude": 46.5581818, + "longitude": 15.6164958, + "altitude": 335, + "source": "SOURCE_GPS" + } + }, + "network_ids": { + "net_id": "000013", + "ns_id": "EC656E0000000181", + "tenant_id": "ttn", + "cluster_id": "eu1", + "cluster_address": "eu1.cloud.thethings.network" + } + } +} diff --git a/processor_service/Makefile b/processor_service/Makefile new file mode 100644 index 0000000..2e278d1 --- /dev/null +++ b/processor_service/Makefile @@ -0,0 +1,21 @@ +SHELL := /bin/bash + +clean: + rm -r -f ./common + +install: + cp -r ../common/ ./ + pip install -r requirements.txt + +run: clean install + bash -c "trap 'echo \"Cleaning up...\"; make clean' EXIT; python3 main.py" + +run-local-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=true && make run + +run-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=false && make run diff --git a/processor_service/README.md b/processor_service/README.md new file mode 100644 index 0000000..f2d8cbd --- /dev/null +++ b/processor_service/README.md @@ -0,0 +1,80 @@ +# Processor Service + +The Processor service is responsible for processing data received from the Ingest Service. It +dynamically creates SQL tables based on the fields in the data and stores the processed data in a +PostgreSQL database. + +The SQL schema is defined in the [init/postgres.sql](../init/postgres.sql) file, which is executed +when the docker service first starts. This schema does not include a `measurements` table, as those +are generated dynamically. + +## Usage + +To run the Processor service locally, run the following command from the `processor_service` +directory: + +```bash +make run-local-dev +``` + +## Tables + +An `application` is the endpoint the data is receive from. In the case of a TTN application, it is +the name of the TTN application. In the case of an HTTP application, it is the name defined by the +sending party. + +The `sensors` table holds information about the sensors, such as the `sensor_name` and which +application it belongs to. + +The `measurements` table is generated based on the `version` of the decoder. The `version` should be +included in the JSON data sent by the application. If the `version` is not included, the default +table used will be `v0`. The table columns are also dynamically added each time a new key is +observed. The `measurements` tables are linked to `applications` via their names in the +`application_measurements_registry` table. + +### Example Measurements table + +An example of a generated `measurements` table for the `irnas-mock-application` would be +`irnas-mock-application_v0`. Let's define the following sensor data structure: + +```json +{ + "measurement": { + "voltage": 3.3, + "temperature": 22.5, + "humidity": 45.0 + } +} +``` + +Once the data is received and the table doesn't exist it would get created with these three columns +along with a `timestamp` and `sensor_id` column, which are static and always present. + +If the next measurement contained an additional field, `pressure`, the table would be updated to +include this new column. + +Once the `version` field would be added to the measurement, like so: + +```json +{ + "measurement": { + "voltage": 3.3, + "temperature": 22.5, + "humidity": 45.0, + "version": "v1" + } +} +``` + +The table would be created as `irnas-mock-application_v1` and the previous data would not be lost, +but rather stored in the `irnas-mock-application_v0` table. + +The table is created to be as general as possible, therefore all numeric fields are of type `FLOAT`. + +## ER Model + +In the image below the ER model is shown. You can see the two dynamically generated `measurements_1` +and `measurements_2` tables, which are logically linked to the `application` via their names (red +lines on the image). + +![ER Model](../docs/images/er_model.png) diff --git a/processor_service/constants.py b/processor_service/constants.py new file mode 100644 index 0000000..3b848fa --- /dev/null +++ b/processor_service/constants.py @@ -0,0 +1,4 @@ +import os + +localhost = os.environ.get("LOCALHOST") == "true" +KAFKA_HOST = "localhost:9992" if localhost else "kafka:9993" diff --git a/processor_service/main.py b/processor_service/main.py new file mode 100644 index 0000000..b285928 --- /dev/null +++ b/processor_service/main.py @@ -0,0 +1,130 @@ +import atexit +import json +import logging +import time +from contextlib import asynccontextmanager +from threading import Thread + +import uvicorn +from constants import KAFKA_HOST +from fastapi import FastAPI +from fastapi.responses import PlainTextResponse +from kafka import KafkaConsumer +from src.handlers import connection_pool, insert_data + +from common.logging.logger import Logger + +# Health check constants +HEALTH_CHECK_INTERVAL_S = 300 # 5 minutes +last_update_time = time.time() + +logger = Logger(logging.getLogger(__name__)) +consumer = KafkaConsumer( + "process_data", + bootstrap_servers=KAFKA_HOST, + auto_offset_reset="earliest", + group_id="ajdovscina-consumer", + max_poll_interval_ms=900000, +) + +# Start uvicorn server in a separate thread + + +# Define lifespan context manager for the app +@asynccontextmanager +async def lifespan(app): + """Method to manage startup and cleanup of the application.""" + # Startup logic, if any + yield + # Shutdown logic - close database connections + logger.info("Shutting down - Closing database connection pool...") + if connection_pool: + connection_pool.closeall() + logger.info("Database connection pool closed.") + + +# Create FastAPI app for health check endpoint with the lifespan +app = FastAPI(lifespan=lifespan, docs_url=None, redoc_url=None) + + +# Cleanup +def close_pool(): + """Close all connections in the pool when application exits.""" + if connection_pool: + logger.info("Closing database connection pool...") + connection_pool.closeall() + logger.info("Database connection pool closed.") + + +# Register the function to be called on exit (for non-FastAPI shutdown scenarios) +atexit.register(close_pool) + +# This is used for the health check endpoint +Thread( + target=uvicorn.run, + args=(app,), + kwargs={"host": "0.0.0.0", "port": 6000, "log_level": "info"}, +).start() + +# Define routes + + +# Healthcheck is the only route and it's used internally +@app.get("/health-check", response_class=PlainTextResponse, include_in_schema=False) +def health_check(): + """Check if the service is running.""" + global last_update_time + current_time = time.time() + + # Check if the service has been active recently + if current_time - last_update_time > HEALTH_CHECK_INTERVAL_S: + return PlainTextResponse(content="Service is not running", status_code=500) + + # Check database connection + try: + conn = connection_pool.getconn() + with conn.cursor() as cur: + cur.execute("SELECT 1") + connection_pool.putconn(conn) + # Update the last update time + last_update_time = current_time + return PlainTextResponse(content="OK", status_code=200) + except Exception as e: + logger.error(f"Database connection error: {e}") + return PlainTextResponse( + content=f"Service database error: {str(e)}", status_code=500 + ) + + +def process_kafka_messages(): + """Process messages from the Kafka topic.""" + global last_update_time + + for message in consumer: + logger.debug( + "%s:%d:%d: key=%s value=%s" + % ( + message.topic, + message.partition, + message.offset, + message.key, + message.value, + ) + ) + + if message.key == b"ttn_service" or message.key == b"http_service": + byte_string = message.value + + data_to_insert = json.loads(byte_string.decode("utf-8")) + + # Insert received data into the database + insert_data(data_to_insert) + + # Update the last update time after successful processing + last_update_time = time.time() + + consumer.commit_async() + + +# Start the endless processing loop +process_kafka_messages() diff --git a/processor_service/requirements.txt b/processor_service/requirements.txt new file mode 100644 index 0000000..0f3a8cc --- /dev/null +++ b/processor_service/requirements.txt @@ -0,0 +1,4 @@ +kafka-python==2.0.2 +fastapi[all]==0.116.1 +uvicorn==0.22.0 +psycopg2==2.9.10 diff --git a/processor_service/src/handlers.py b/processor_service/src/handlers.py new file mode 100644 index 0000000..730f602 --- /dev/null +++ b/processor_service/src/handlers.py @@ -0,0 +1,126 @@ +import logging +from datetime import datetime + +from psycopg2 import pool, sql +from src.sql import ( + add_table_to_registry, + alter_measurement_table, + create_application, + create_sensor_readings_table, + insert_sensor, + insert_sensor_readings, +) +from util.util import drop_duplicates + +from common.constants import DB_CONFIG +from common.logging.logger import Logger + +# Create a connection pool instead of a single connection +connection_pool = pool.ThreadedConnectionPool(minconn=1, maxconn=20, **DB_CONFIG) + +logger = Logger(logging.getLogger(__name__)) + + +def insert_data(data: dict): + """Insert data into SQL database.""" + # Get a connection from the pool + conn = connection_pool.getconn() + try: + with conn.cursor() as cur: + # 1. + app_name = data.get("application") + stmt = create_application() + logger.info(f"Creating application {app_name}") + cur.execute(stmt, (app_name,)) + app_id = cur.fetchone()[0] + + # 2. + version = data.get("version") + fields = data.get("measurement", {}) + + # Drop duplicate keys from fields + fields = drop_duplicates(fields) + + if fields is None or len(fields) == 0: + connection_pool.putconn(conn) # Return connection to the pool + return + + meas_table_name = f"{app_name}_{version}" + stmt, table_name = create_sensor_readings_table(meas_table_name, fields) + logger.debug(f"Creating measurement table for {meas_table_name}") + logger.info( + f"Creating measurement table {table_name} for application {app_name} with version {version}" + ) + cur.execute(stmt) + + # 3.05 Get existing columns + logger.info(f"Fetching existing columns for table {table_name}") + query = sql.SQL( + "SELECT column_name FROM information_schema.columns WHERE table_name = {}" + ).format(sql.Literal(table_name)) + cur.execute(query) + existing_columns = {row[0].lower() for row in cur.fetchall()} + logger.debug(f"Existing columns in table {table_name}: {existing_columns}") + + # 3.1 Alter the table to add new columns + alter_stmt = alter_measurement_table( + meas_table_name, fields, existing_columns + ) + logger.info( + f"Altering measurement table {table_name} to add new fields if necessary" + ) + logger.debug("Preparing to alter table if needed") + if alter_stmt is not None: + cur.execute(alter_stmt) + + # 4. + add_to_registry_stmt = add_table_to_registry() + logger.info( + f"Adding {table_name} to application_measurements_registry for application {app_name}" + ) + logger.debug(f"Add to registry statement: {add_to_registry_stmt}") + cur.execute( + add_to_registry_stmt, + ( + app_id, + table_name, + ), + ) + + # 5. Add measurement to table + timestamp = data.get("received_at", datetime.now()) + sensor_name = data.get("sensor_name", "") + + # 5.1 First create the sensor if it doesn't exist + sensor_insert_stmt = insert_sensor() + logger.info(f"Inserting sensor {sensor_name} for application {app_name}") + logger.debug(f"Insert sensor statement: {sensor_insert_stmt}") + cur.execute( + sensor_insert_stmt, + ( + sensor_name, + app_id, + ), + ) + sens_id = cur.fetchone()[0] + + insert_data_stmt = insert_sensor_readings(table_name, list(fields.keys())) + logger.info( + f"Inserting data into {table_name} for sensor {sensor_name} with ID {sens_id}" + ) + logger.debug("Preparing to insert data") + # Create a complete list of values, starting with timestamp and sensor_id + values = [timestamp, sens_id] + list(fields.values()) + cur.execute(insert_data_stmt, values) + + conn.commit() + connection_pool.putconn( + conn + ) # Return connection to the pool after successful commit + except Exception as e: + if conn: + conn.rollback() + connection_pool.putconn( + conn + ) # Return connection to the pool even if there's an error + logger.error(f"Failed to insert data: {e}") diff --git a/processor_service/src/sql.py b/processor_service/src/sql.py new file mode 100644 index 0000000..c61450f --- /dev/null +++ b/processor_service/src/sql.py @@ -0,0 +1,186 @@ +"""This module dynamically creates SQL tables based on the sensor type and present fields. + +It infers the data type based on the value of the field and generates a SQL CREATE TABLE statement. +""" + +from datetime import datetime + +from psycopg2 import sql + +"""The flow is as follows: + +1. Application data is received from device +2. A new application is created if it doesn't yet exist +3. A new _ table is created if it doesn't yet exist +4. The pair is added to the application_measurements_registry +5. Measurements are added to the _ table +""" + + +def insert_sensor(): + """Creates a SQL INSERT INTO statement for the sensors table.""" + query = """ + INSERT INTO sensors (sensor_name, application_id) + VALUES (%s, %s) + ON CONFLICT (sensor_name) + DO UPDATE SET sensor_name = EXCLUDED.sensor_name + RETURNING id; + """ + return query + + +def insert_sensor_readings(table_name: str, keys: list): + """Creates a SQL INSERT INTO statement based on the name and field.""" + # Create a list of all columns including timestamp and sensor_id + all_columns = ["timestamp", "sensor_id"] + keys + + # Create placeholders for all values + placeholders = sql.SQL(", ").join( + [sql.Placeholder() for _ in range(len(all_columns))] + ) + + # Format column names safely + columns_sql = sql.SQL(", ").join([sql.Identifier(col) for col in all_columns]) + + # Build the query safely + query = sql.SQL("INSERT INTO {} ({}) VALUES ({})").format( + sql.Identifier(table_name), columns_sql, placeholders + ) + + return query + + +def get_col_type(value): + """Get column type from value.""" + if isinstance(value, int): + col_type = "FLOAT" + elif isinstance(value, float): + col_type = "DOUBLE PRECISION" + elif isinstance(value, str): + col_type = "TEXT" + elif isinstance(value, datetime): + col_type = "TIMESTAMPTZ" + else: + # Default to TEXT for unknown types + col_type = "TEXT" + + return col_type + + +def create_sensor_readings_table(application_name: str, fields: dict): + """Creates a SQL CREATE TABLE statement based on the sensor type and fields. + + Args: + application_name (str): The name of the application, used to create the table name. + fields (dict): A dictionary containing field names and their corresponding values. + + Returns: + tuple: A SQL CREATE TABLE statement and the sanitized table name. + """ + table_name = application_name.replace(" ", "_").lower() + column_definitions = [] + + # Define standard columns + column_definitions.append(sql.SQL("id SERIAL PRIMARY KEY")) + column_definitions.append( + sql.SQL("sensor_id INTEGER REFERENCES sensors(id) ON DELETE CASCADE") + ) + column_definitions.append(sql.SQL("timestamp TIMESTAMPTZ")) + + # Set of columns we've already added to avoid duplicates + added_columns = set(["id", "sensor_id", "timestamp"]) + + for field, value in fields.items(): + field_lower = field.lower() + + # Skip if we've already added this column + if field_lower in added_columns: + continue + + col_type = get_col_type(value) + + # Add column definition + column_definitions.append( + sql.SQL("{} {}").format(sql.Identifier(field), sql.SQL(col_type)) + ) + + # Track that we've added this column + added_columns.add(field_lower) + + # Join all column definitions + columns_sql = sql.SQL(", ").join(column_definitions) + + # Build the complete CREATE TABLE statement + create_table_statement = sql.SQL("CREATE TABLE IF NOT EXISTS {} ({})").format( + sql.Identifier(table_name), columns_sql + ) + + return create_table_statement, table_name + + +def alter_measurement_table(table_name, fields, existing_columns): + """A table can already exist but not all fields are present. If not all fields are present alter the table. + + Args: + table_name (str): The name of the table to alter + fields (dict): Dictionary of field names and their values + existing_columns (set): Set of existing column names (lowercase) + + Returns: + psycopg2.sql.Composed or None: SQL statement to alter table, or None if no changes needed + """ + # List to store column add operations + column_operations = [] + + for field, value in fields.items(): + field_lower = field.lower() + + # Skip if column already exists + if field_lower in existing_columns: + continue + + # Determine column type based on value type + col_type = get_col_type(value) + + # Create add column operation + column_operations.append( + sql.SQL("ADD COLUMN {} {}").format(sql.Identifier(field), sql.SQL(col_type)) + ) + + # If no columns to add, return None + if not column_operations: + return None + + # Build the complete ALTER TABLE statement + statement = sql.SQL("ALTER TABLE {} {};").format( + sql.Identifier(table_name), sql.SQL(", ").join(column_operations) + ) + + return statement + + +def create_application(): + """Create statement to insert application to applications table if it doesn't exist.""" + stmt = """ + INSERT INTO applications (app_name) + VALUES (%s) + ON CONFLICT (app_name) + DO UPDATE SET app_name = EXCLUDED.app_name + RETURNING id; + """ + return stmt + + +def add_table_to_registry(): + """Creates the statement which adds the table to registry. + + Returns: + str: A SQL INSERT statement to add the table to the registry. + """ + stmt = ( + "INSERT INTO application_measurements_registry (application_id, measurement_table_name) " + "VALUES (%s, %s) " + "ON CONFLICT (application_id, measurement_table_name) DO NOTHING;" + ) + + return stmt diff --git a/processor_service/util/util.py b/processor_service/util/util.py new file mode 100644 index 0000000..2d6bbd7 --- /dev/null +++ b/processor_service/util/util.py @@ -0,0 +1,8 @@ +def drop_duplicates(fields: dict): + """Drop duplicates from data fields in case they are present.""" + seen = {} + for k, v in fields.items(): + k = k.lower() + if k not in seen: + seen[k] = v # keep first occurrence + return seen diff --git a/prometheus/prometheus-dev.yml b/prometheus/prometheus-dev.yml new file mode 100644 index 0000000..bbaede5 --- /dev/null +++ b/prometheus/prometheus-dev.yml @@ -0,0 +1,39 @@ +global: + scrape_interval: 15s + scrape_timeout: 10s + evaluation_interval: 30s + +# Specify rule file +rule_files: + - rules.yml + +alerting: +# Alert manager instance + alertmanagers: + - static_configs: + - targets: + - alert-manager:9093 + +scrape_configs: + +# Monitor the node-exporter +- job_name: node-exporter + static_configs: + - targets: + - node-exporter:9100 + +# Monitor mysqldb metrics +- job_name: geospatial-exporter + # Override the global default and scrape targets from this job every 5 seconds. + scrape_interval: 5s + + static_configs: + - targets: + - geospatial-data-exporter:9187 + +- job_name: kafka-exporter + scrape_interval: 5s + + static_configs: + - targets: + - kafka-exporter:9308 diff --git a/rest_api/Makefile b/rest_api/Makefile new file mode 100644 index 0000000..b742519 --- /dev/null +++ b/rest_api/Makefile @@ -0,0 +1,21 @@ +SHELL := /bin/bash + +clean: + rm -r -f ./common + +install: + cp -r ../common/ ./ + pip install -r requirements.txt + +run: clean install + bash -c "trap 'echo \"Cleaning up...\"; make clean' EXIT; uvicorn main:app --host 0.0.0.0 --port 51005 --reload" + +run-local-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=true && make run + +run-dev: + python3.10 -m venv ../venv + source ../venv/bin/activate; \ + export ENV=development && export LOCALHOST=false && make run diff --git a/rest_api/README.md b/rest_api/README.md new file mode 100644 index 0000000..64aed1f --- /dev/null +++ b/rest_api/README.md @@ -0,0 +1,112 @@ +# REST API + +The REST API provides a way for the integrators to fetch sensor data and application information. + +## Usage + +To run the REST API locally run the following command from the `rest_api` directory: + +```bash +make run-local-dev +``` + +## Endpoints + +Currently the following endpoints are available: + +### `GET /api/sensors` + +Lists all sensors in the system. The response includes sensor names, and the applications they +belong to. + +Example: + +```bash +curl http://localhost:51005/api/sensors -H "Authorization: Bearer your-api-token" | jq +``` + +Output: + +```json +{ + "sensors": [ + { + "sensor_name": "mock-dev-090", + "application_id": 6 + }, + { + "sensor_name": "mock-dev-004", + "application_id": 3 + } + ] +} +``` + +### `GET /api/applications` + +Lists all applications in the system. The response includes application names and their IDs. + +Example: + +```bash +curl http://localhost:51005/api/applications -H "Authorization: Bearer your-api-token" | jq +``` + +Output: + +```json +{ + "applications": [ + { + "app_name": "mock-app-4", + "description": null + }, + { + "app_name": "mock-app-2", + "description": null + }, + { + "app_name": "mock-app-10", + "description": null + } + ] +} +``` + +### `GET /api/measurements?sensor_name={sensor_name}` + +Fetches measurements for a specific sensor. The response includes the sensor name, table name, and a +list of measurements. + +Example: + +```bash +curl "http://localhost:51005/api/measurements?sensor_name=mock-dev-004" -H "Authorization: Bearer your-api-token" | jq +``` + +Output: + +```json +{ + "measurements": [ + { + "table_name": "mock-app-4_v4", + "timestamp": "2025-07-18 12:42:25.242002+00:00", + "data": { + "current": 24.0, + "gps_heading": -96.0, + "gps_timestamp": 6.0, + "gps_longitude": 87.0, + "gps_speed": -40.0, + "speed": -4.0, + "acceleration": -84.0, + "battery": 99.0, + "pressure": 91.0, + "gyroscope": -49.0, + "temperature": 49.0, + "voltage": null + } + } + ] +} +``` diff --git a/rest_api/main.py b/rest_api/main.py new file mode 100644 index 0000000..cd03a45 --- /dev/null +++ b/rest_api/main.py @@ -0,0 +1,181 @@ +import time +from contextlib import asynccontextmanager +from functools import partial + +from fastapi import Depends, FastAPI +from fastapi.responses import ORJSONResponse, PlainTextResponse, RedirectResponse +from models.return_models import ( + ApplicationListResponse, + MeasurementListResponse, + SensorListResponse, +) +from psycopg2 import pool +from src.handlers import ( + fetch_applications, + fetch_measurements_for_sensor, + fetch_sensor_app_info, + fetch_sensors, + fetch_table_names_from_app_id, +) +from util.db import get_db_connection + +from common.authentication import verify_token +from common.constants import DB_CONFIG + +# Health check constants +HEALTH_CHECK_INTERVAL_S = 300 # 5 minutes +last_update_time = time.time() + +# Create a connection pool +connection_pool = pool.ThreadedConnectionPool(minconn=1, maxconn=20, **DB_CONFIG) + + +# Define lifespan context manager for the app +@asynccontextmanager +async def lifespan(app): + """Method to manage startup and cleanup of the application.""" + # Startup logic, if any + yield + # Shutdown logic - close database connections + if connection_pool: + connection_pool.closeall() + + +# Create FastAPI app with the lifespan +app = FastAPI( + title="REST API", + description="API for retrieving data and sensor information", + default_response_class=ORJSONResponse, + lifespan=lifespan, +) + + +# Define all routes +@app.get("/", include_in_schema=False) +def redirect_to_docs(): + """Redirect root path to the API documentation.""" + return RedirectResponse(url="/docs") + + +@app.get("/api/sensors", response_model=SensorListResponse, tags=["sensors"]) +def get_sensors( + conn=Depends(partial(get_db_connection, connection_pool)), + token: str = Depends(verify_token), +): + """Fetch all sensors from the database.""" + sensors = fetch_sensors(conn) + + if sensors is None: + return {"sensors": []} + + return {"sensors": sensors} + + +@app.get( + "/api/applications", response_model=ApplicationListResponse, tags=["applications"] +) +def get_applications( + conn=Depends(partial(get_db_connection, connection_pool)), + token: str = Depends(verify_token), +): + """Fetch all applications from the database.""" + applications = fetch_applications(conn) + + if applications is None: + return {"applications": []} + + return {"applications": applications} + + +@app.get( + "/api/measurements", response_model=MeasurementListResponse, tags=["measurements"] +) +def get_measurements( + sensor_name, + limit=None, + offset=None, + conn=Depends(partial(get_db_connection, connection_pool)), + token: str = Depends(verify_token), +): + """Fetch measurements for a given sensor name.""" + if limit is not None: + limit = int(limit) + if offset is not None: + offset = int(offset) + + result = fetch_sensor_app_info(conn, sensor_name) + if not result: + return ORJSONResponse(content={"error": "Sensor not found"}, status_code=404) + application_id = result[0] + sensor_id = result[1] + + tables = fetch_table_names_from_app_id(conn, application_id) + if not tables: + return {"measurements": []} + + measurements = [] + for table_row in tables: + table_measurements = fetch_measurements_for_sensor( + conn, table_row[0], sensor_id + ) + + if table_measurements: + measurements.extend(table_measurements) + + # Now sort the measurements by timestamp, timestamp is a dictionary key + measurements.sort(key=lambda x: x.timestamp, reverse=True) + + # Calculate pagination details + total_measurements = len(measurements) + + # Now apply limit and offset if provided + if offset is not None: + measurements = measurements[offset:] + if limit is not None: + measurements = measurements[:limit] + + # Create pagination info + + # Default values + page = 1 + total_pages = 1 + current_offset = offset if offset is not None else 0 + + # Calculate current page and total pages if limit is provided + if limit is not None and limit > 0: + page = (current_offset // limit) + 1 + total_pages = (total_measurements + limit - 1) // limit + + # Create pagination info + pagination_info = { + "total": total_measurements, + "count": len(measurements), # Count after applying limit/offset + "limit": limit, + "offset": current_offset, + "page": page, + "total_pages": total_pages, + "has_next": page < total_pages, + "has_previous": page > 1, + } + + return {"measurements": measurements, "page_info": pagination_info} + + +@app.get("/health-check", response_class=PlainTextResponse, include_in_schema=False) +def health_check(conn=Depends(partial(get_db_connection, connection_pool))): + """Check if the service is running properly.""" + global last_update_time + + # Update the last update time to indicate the service is alive + current_time = time.time() + last_update_time = current_time + + # Check database connection + try: + with conn.cursor() as cur: + cur.execute("SELECT 1") + return PlainTextResponse(content="OK", status_code=200) + except Exception as e: + return PlainTextResponse( + content=f"Service database error: {str(e)}", status_code=500 + ) diff --git a/rest_api/models/return_models.py b/rest_api/models/return_models.py new file mode 100644 index 0000000..9f379b3 --- /dev/null +++ b/rest_api/models/return_models.py @@ -0,0 +1,57 @@ +from typing import Optional + +from pydantic import BaseModel + + +class Measurement(BaseModel): + """Data model for sensor measurements.""" + + table_name: str + timestamp: str + data: dict # dynamic columns from the database + + +class PageInfo(BaseModel): + """Data model for pagination information.""" + + total: int + count: int + limit: int | None + offset: int | None + page: int + total_pages: int + has_next: bool + has_previous: bool + + +class MeasurementListResponse(BaseModel): + """Data model for a list of sensor measurements.""" + + measurements: list[Measurement] + page_info: PageInfo # Forward reference to PageInfo + + +class Sensor(BaseModel): + """Data model for sensor information.""" + + sensor_name: str + application_id: int + + +class SensorListResponse(BaseModel): + """Data model for a list of sensors.""" + + sensors: list[Sensor] + + +class Application(BaseModel): + """Data model for application information.""" + + app_name: str + description: Optional[str] = None + + +class ApplicationListResponse(BaseModel): + """Data model for a list of applications.""" + + applications: list[Application] diff --git a/rest_api/requirements.txt b/rest_api/requirements.txt new file mode 100644 index 0000000..feb6772 --- /dev/null +++ b/rest_api/requirements.txt @@ -0,0 +1,4 @@ +fastapi[all]==0.116.1 +psycopg2==2.9.10 +sqlalchemy==2.0.41 +requests==2.32.4 diff --git a/rest_api/src/handlers.py b/rest_api/src/handlers.py new file mode 100644 index 0000000..174d215 --- /dev/null +++ b/rest_api/src/handlers.py @@ -0,0 +1,104 @@ +from models.return_models import Application, Measurement, Sensor +from psycopg2 import sql +from src.sql import ( + fetch_all_measurements_for_sensor_statement, + fetch_applications_statement, + fetch_sensor_app_info_statement, + fetch_sensors_statement, + fetch_table_names_from_app_id_statement, +) + + +def fetch_sensors(conn): + """Fetch sensors from the database.""" + with conn.cursor() as cur: + cur.execute(fetch_sensors_statement()) + rows = cur.fetchall() + sensors = [ + Sensor( + id=row[0], + sensor_uid=row[1], + sensor_name=row[2], + application_id=row[3], + created_at=str(row[4]), + updated_at=str(row[5]), + ) + for row in rows + ] + + return sensors + + +def fetch_applications(conn): + """Fetch applications from the database.""" + with conn.cursor() as cur: + cur.execute(fetch_applications_statement()) + rows = cur.fetchall() + applications = [ + Application( + id=row[0], + app_name=row[1], + description=row[2], + created_at=str(row[3]), + updated_at=str(row[4]), + ) + for row in rows + ] + + return applications + + +def fetch_sensor_app_info(conn, sensor_name: str) -> tuple[int, int] | None: + """Fetch application_id and sensor_id from sensors table based on sensor_name.""" + with conn.cursor() as cur: + query = fetch_sensor_app_info_statement().format(sql.Placeholder()) + cur.execute(query, (sensor_name,)) + result = cur.fetchone() + + if result is None: + return None + + application_id, sensor_id = result + return application_id, sensor_id + + +def fetch_table_names_from_app_id(conn, app_id: int) -> list | None: + """Fetch all measurement tables for a given application_id.""" + with conn.cursor() as cur: + query = fetch_table_names_from_app_id_statement().format(sql.Placeholder()) + cur.execute(query, (app_id,)) + table_names = cur.fetchall() + + return table_names if table_names else None + + +def fetch_measurements_for_sensor(conn, table_name: str, sensor_id: int) -> list | None: + """Fetch all measurements for a given sensor_id from a specific table.""" + with conn.cursor() as cur: + query = fetch_all_measurements_for_sensor_statement(table_name) + cur.execute(query, (sensor_id,)) + rows = cur.fetchall() + + if not rows: + return None + + measurements = [] + + if cur.description is not None: + colnames = [desc[0] for desc in cur.description] + for row in rows: + # Build a dict of column names to values, excluding sensor_id and timestamp + + data = {col: val for col, val in zip(colnames[3:], row[3:])} + # Filter out None values from data + filtered_data = {k: v for k, v in data.items() if v is not None} + measurements.append( + Measurement( + # sensor_id=row[1], + table_name=table_name, + timestamp=str(row[2]), + data=filtered_data, + ) + ) + + return measurements diff --git a/rest_api/src/sql.py b/rest_api/src/sql.py new file mode 100644 index 0000000..dd704be --- /dev/null +++ b/rest_api/src/sql.py @@ -0,0 +1,40 @@ +from psycopg2 import sql + + +def fetch_sensors_statement(): + """Return SQL statements to fetch sensors from the database.""" + return sql.SQL(""" + SELECT id, sensor_uid, sensor_name, application_id, created_at, updated_at + FROM sensors + """) + + +def fetch_applications_statement(): + """Return SQL statements to fetch applications from the database.""" + return sql.SQL(""" + SELECT id, app_name, description, created_at, updated_at + FROM applications + """) + + +def fetch_sensor_app_info_statement(): + """Return SQL statements to fetch application_id and sensor_id from sensors table based on sensor_name.""" + return sql.SQL("SELECT application_id, id FROM sensors WHERE sensor_name = {}") + + +def fetch_table_names_from_app_id_statement(): + """Return SQL statements to fetch all measurement tables for a given application_id.""" + return sql.SQL(""" + SELECT measurement_table_name + FROM application_measurements_registry + WHERE application_id = {} + """) + + +def fetch_all_measurements_for_sensor_statement(table_name: str): + """Return SQL statements to fetch all measurements for a given sensor_id from a specific table.""" + return sql.SQL(""" + SELECT * + FROM {} + WHERE sensor_id = {} + """).format(sql.Identifier(table_name), sql.Placeholder()) diff --git a/rest_api/util/db.py b/rest_api/util/db.py new file mode 100644 index 0000000..c93e508 --- /dev/null +++ b/rest_api/util/db.py @@ -0,0 +1,9 @@ +# Dependency to get a connection from the pool +def get_db_connection(connection_pool): + """Get a database connection from the pool and returns it after route is done processing.""" + conn = connection_pool.getconn() + try: + yield conn + finally: + # Return the connection to the pool + connection_pool.putconn(conn)