Add sqlalchemy draft

compose.yaml

@@ -0,0 +1,11 @@
+version: '3'
+
+services:
+  database:
+    image: 'postgres:latest'
+    ports: 
+      - 5433:5432
+    env_file:
+      - .env
+    environment:
+      POSTGRES_DB: fitness_database

dbapi/connector.py

@@ -0,0 +1,4 @@
+from sqlalchemy import create_engine
+
+
+engine = create_engine("postgres+psycopg2:///:localhost:5433", echo=True)

dbapi/tables.py

@@ -0,0 +1,28 @@
+from sqlalchemy import ForeignKey, String, Table, Column, Integer, MetaData, Date
+
+# NOTE: MetaData object - object where we place out tables
+# Essentialy - this is a facade around Python dicts, that stores series of Table objects keyed to their string name
+metadata_obj = MetaData()
+
+# Representation of training table
+training = Table(
+    "training",
+    metadata_obj,
+    Column("ID", Integer, primary_key=True),
+    Column("DATE", Date),
+)
+
+# Representation of exercise table
+exercise = Table(
+    "exercise",
+    metadata_obj,
+    Column("ID", Integer, primary_key=True),
+    Column("TRAINING", ForeignKey("training.ID"), nullable=False),
+    Column("NAME", String(256)),
+)
+
+
+# NOTE: We can access table metadata with associative array `c`
+# print(training.c.keys())
+# print(training.primary_key)
+

env_template

@@ -0,0 +1,3 @@
+POSTGRES_USER=db_username
+POSTGRES_PASSWORD=db_password
+

main.py

@@ -1,3 +1,43 @@
-from obsidian.notes_parser import parse_training_data
+import os
+from sqlalchemy import Table, create_engine, text
+from dotenv import load_dotenv
+from dbapi.tables import metadata_obj
 
-parse_training_data()
+
+load_dotenv()
+
+DB_USERNAME = os.getenv("POSTGRES_USER")
+DB_PASS = os.getenv("POSTGRES_PASSWORD")
+
+engine = create_engine(
+    f"postgresql+psycopg2://{DB_USERNAME}:{DB_PASS}@localhost:5433/fitness_database",
+    echo=True,
+)
+
+# NOTE: "Begin once" style - using `.begin` as context creator for SQLAlchemy
+# with engine.begin() as conn:
+#     result = conn.execute(text("select 'hello world'"))
+#     print(result.all())
+#     conn.execute(
+#         text("INSERT INTO some_table(x, y) VALUES (:x, :y)"),
+#         [{"x": 6, "y": 7}, {"x": 9, "y": 10}],
+#     )
+
+# NOTE: "Commit as you go" style - after managing transactions we need to call Connection.commit(). Otherwise ROLLBACK
+# will be executed
+# with engine.connect() as conn:
+#     result = conn.execute(text("SELECT x, y FROM some_table"))
+#     for row in result:
+#         print(f"x: {row.x} -- y: {row.y}")
+
+# NOTE : Create all tables from metadata object
+# TODO: Check how psycopg2 handles duplication of tables
+# TODO: Check how migrations are done
+metadata_obj.create_all(engine)
+
+# NOTE: Drop all Tables from database
+# metadata_obj.drop_all(engine)
+
+# NOTE: Table reflection - generating table object from existing tables (only tables, that are stored in metadata)
+# some_table = Table("some_table", metadata_obj, autoload_with=engine)
+# print(some_table.c)

poetry.lock

@@ -39,6 +39,93 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "greenlet"
+version = "3.1.1"
+description = "Lightweight in-process concurrent programming"
+category = "main"
+optional = false
+python-versions = ">=3.7"
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+]
+
+[package.extras]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -79,6 +166,26 @@ files = [
 dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
+[[package]]
+name = "psycopg2"
+version = "2.9.10"
+description = "psycopg2 - Python-PostgreSQL Database Adapter"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
 [[package]]
 name = "pydantic"
 version = "2.10.5"
@@ -236,6 +343,117 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
+[[package]]
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+category = "main"
+optional = false
+python-versions = ">=3.8"
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+
+[package.extras]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "sqlalchemy"
+version = "2.0.37"
+description = "Database Abstraction Library"
+category = "main"
+optional = false
+python-versions = ">=3.7"
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+
+[package.dependencies]
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+typing-extensions = ">=4.6.0"
+
+[package.extras]
+aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (!=0.4.17)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
+mssql = ["pyodbc"]
+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
+oracle-oracledb = ["oracledb (>=1.0.1)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
 [[package]]
 name = "tomli"
 version = "2.2.1"
@@ -293,4 +511,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "69ba10c023b0057bcc74622538019c589ab97cdf38bc6c916ab040ba37d66f0b"
+content-hash = "19f999486896e58ce5aad4e148e87fb8a81e4178b8dd86ad7d40049b4f892131"

pyproject.toml

@@ -9,6 +9,9 @@ readme = "README.md"
 python = "^3.10"
 pydantic = "^2.10.5"
 pytest = "^8.3.4"
+sqlalchemy = "^2.0.37"
+psycopg2 = "^2.9.10"
+python-dotenv = "^1.0.1"
 
 
 [build-system]