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Internal analytics toolkit for data pipelines

Project description

mnemosynecore

Internal analytics toolkit for data pipelines Инструментарий для работы с Vertica, Airflow, Vault, Mattermost и pandas DataFrame.

📦 Установка Базовая установка pip install mnemosynecore

С поддержкой Airflow pip install "mnemosynecore[airflow]"

🔐 Работа с секретами (Vault / Env / Tests) Поддерживаемые источники

Переменные окружения

Vault

Локальные JSON-файлы (для тестов)

Формат секрета (JSON) { "host": "vertica.host", "port": 5433, "login": "user", "password": "password", "schema": "dwh" }

Получение секрета from mnemosynecore.vault import get_secret

cfg = get_secret("VERTICA_PROD")

Тестовый режим (без Vault) from mnemosynecore.vault import get_secret_test

cfg = get_secret_test("VERTICA_TEST", dir_path="./secrets")

🟣 Vertica Создание подключения from mnemosynecore.vertica import vertica_conn

conn = vertica_conn("VERTICA_PROD")

Выполнение SQL from mnemosynecore.vertica import vertica_sql

vertica_sql( conn_id="VERTICA_PROD", sql="DELETE FROM mart.events WHERE dt = CURRENT_DATE" )

SELECT → pandas DataFrame from mnemosynecore.vertica import vertica_select

df = vertica_select( conn_id="VERTICA_PROD", sql="SELECT * FROM mart.events LIMIT 100" )

Upsert DataFrame в Vertica from mnemosynecore.vertica import vertica_upsert

vertica_upsert( df=df, table_name="mart.events", unique_keys=["event_id"], conn=conn, date_col="dt", days_back=7 )

Удаление дублей (dedupe) from mnemosynecore.vertica import vertica_dedupe

vertica_dedupe( table_name="mart.events", unique_keys=["event_id"], date_col="updated_at", conn_id="VERTICA_PROD" )

SQLAlchemy Engine from mnemosynecore.vertica import get_vertica_engine

engine = get_vertica_engine("VERTICA_PROD")

🟦 Airflow Загрузка SQL-файлов как VerticaOperator

Структура

sql/ ├── users.sql ├── events.sql

from mnemosynecore.airflow import load_sql_tasks_from_dir

tasks = load_sql_tasks_from_dir( dir_sql="/opt/airflow/sql", vertica_conn_id="VERTICA_PROD" )

📌

Автоматически берёт текущий DAG

Каждый .sql → отдельный VerticaOperator

💬 Mattermost Отправка сообщения (Vault) from mnemosynecore.mattermost import send_message

send_message( channel_id="channel_id", bot_id="MM_BOT_PROD", text="🚀 Pipeline успешно завершён" )

Тестовый режим (локальный JSON) from mnemosynecore.mattermost import send_message_test

send_message_test( channel_id="channel_id", bot_id="MM_BOT_TEST", text="Тестовое сообщение", dir_path="./secrets" )

🧪 Локальные тесты без Airflow и Vault secrets/ ├── VERTICA_TEST.json └── MM_BOT_TEST.json

export VERTICA_TEST='{"host": "..."}'

или через get_secret_test

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