diff --git a/analytics/config.py b/analytics/config.py index f7272dca1..60a7786b6 100644 --- a/analytics/config.py +++ b/analytics/config.py @@ -8,6 +8,7 @@ For more information visit: https://www.dynaconf.com/ """ + from dynaconf import Dynaconf, Validator, ValidationError settings = Dynaconf( @@ -16,6 +17,8 @@ # looks for config vars in the following files # with vars in .secrets.toml overriding vars in settings.toml settings_files=["settings.toml", ".secrets.toml"], + # merge the settings found in all files + merge_enabled= True, # add validators for our required config vars validators=[ Validator("SLACK_BOT_TOKEN", must_exist=True), diff --git a/analytics/poetry.lock b/analytics/poetry.lock index ca3fbe881..7e7881802 100644 --- a/analytics/poetry.lock +++ b/analytics/poetry.lock @@ -1,25 +1,25 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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1715b6859..bf9fdc026 100644 --- a/analytics/pyproject.toml +++ b/analytics/pyproject.toml @@ -20,6 +20,7 @@ pydantic = "^2.0.3" python = "^3.11" slack-sdk = "^3.23.0" typer = { extras = ["all"], version = "^0.9.0" } +sqlalchemy = "^2.0.30" [tool.poetry.group.dev.dependencies] black = "^23.7.0" diff --git a/analytics/settings.toml b/analytics/settings.toml index e69de29bb..b292763e9 100644 --- a/analytics/settings.toml +++ b/analytics/settings.toml @@ -0,0 +1,4 @@ +POSTGRES_NAME = "app" +POSTGRES_HOST = "0.0.0.0" +POSTGRES_USER = "app" +POSTGRES_PORT = 5432 \ No newline at end of file diff --git a/analytics/src/analytics/cli.py b/analytics/src/analytics/cli.py index a62bef53b..07eb3c3f0 100644 --- a/analytics/src/analytics/cli.py +++ b/analytics/src/analytics/cli.py @@ -1,19 +1,23 @@ # pylint: disable=C0415 """Expose a series of CLI entrypoints for the analytics package.""" +import logging from pathlib import Path from typing import Annotated, Optional import typer from slack_sdk import WebClient +from sqlalchemy import text from analytics.datasets.deliverable_tasks import DeliverableTasks from analytics.datasets.sprint_board import SprintBoard -from analytics.integrations import github, slack +from analytics.integrations import db, github, slack from analytics.metrics.base import BaseMetric, Unit from analytics.metrics.burndown import SprintBurndown from analytics.metrics.burnup import SprintBurnup from analytics.metrics.percent_complete import DeliverablePercentComplete +logger = logging.getLogger(__name__) + # fmt: off # Instantiate typer options with help text for the commands below SPRINT_FILE_ARG = typer.Option(help="Path to file with exported sprint data") @@ -122,6 +126,29 @@ def calculate_sprint_burnup( ) +@export_app.command(name="test_connection") +def test_connection() -> None: + """Test function that ensures the DB connection works.""" + engine = db.get_db() + # connection method from sqlalchemy + connection = engine.connect() + + # Test INSERT INTO action + result = connection.execute( + text( + "INSERT INTO audit_log (topic,timestamp, end_timestamp, user_id, details)" + "VALUES('test','2024-06-11 10:41:15','2024-06-11 10:54:15',87654,'test from command');", + ), + ) + # Test SELECT action + result = connection.execute(text("SELECT * FROM audit_log WHERE user_id=87654;")) + for row in result: + print(row) + # commits the transaction to the db + connection.commit() + result.close() + + @metrics_app.command(name="deliverable_percent_complete") def calculate_deliverable_percent_complete( sprint_file: Annotated[str, SPRINT_FILE_ARG], diff --git a/analytics/src/analytics/datasets/base.py b/analytics/src/analytics/datasets/base.py index deb730d9d..bd9bf7d6b 100644 --- a/analytics/src/analytics/datasets/base.py +++ b/analytics/src/analytics/datasets/base.py @@ -1,8 +1,11 @@ +# ruff: noqa: E501 +# pylint: disable=C0301 """Base class for all datasets which provides an interface for metrics.""" from pathlib import Path from typing import Self import pandas as pd +from sqlalchemy import Engine class BaseDataset: @@ -22,6 +25,82 @@ def from_dict(cls, data: list[dict]) -> Self: """Load the dataset from a list of python dictionaries representing records.""" return cls(df=pd.DataFrame(data)) + def to_sql( + self, + output_table: str, + engine: Engine, + *, + replace_table: bool = True, + ) -> None: + """ + Write the contents of a pandas DataFrame to a SQL table. + + This function takes a pandas DataFrame (`self.df`), an output table name (`output_table`), + and a SQLAlchemy Engine object (`engine`) as required arguments. It optionally accepts + a `replace_table` argument (default: True) that determines how existing data in the + target table is handled. + + **Parameters:** + + * self (required): The instance of the class containing the DataFrame (`self.df`) + to be written to the database. + * output_table (str, required): The name of the table in the database where the + data will be inserted. + * engine (sqlalchemy.engine.Engine, required): A SQLAlchemy Engine object representing + the connection to the database. + * replace_table (bool, default=True): + * If True (default), the function will completely replace the contents of the + existing table with the data from the DataFrame. (if_exists="replace") + * If False, the data from the DataFrame will be appended to the existing table. + (if_exists="append") + + **Returns:** + + * None + + **Raises:** + + * Potential exceptions raised by the underlying pandas.to_sql function, such as + database connection errors or errors related to data type mismatches. + """ + if replace_table: + self.df.to_sql(output_table, engine, if_exists="replace", index=False) + else: + self.df.to_sql(output_table, engine, if_exists="append", index=False) + + @classmethod + def from_sql( + cls, + source_table: str, + engine: Engine, + ) -> Self: + """ + Read data from a SQL table into a pandas DataFrame and creates an instance of the current class. + + This function takes a source table name (`source_table`) and a SQLAlchemy Engine object (`engine`) as required arguments. + It utilizes pandas.read_sql to retrieve the data from the database and then creates a new instance of the current class (`cls`) initialized with the resulting DataFrame (`df`). + + **Parameters:** + + * cls (class, required): The class that will be instantiated with the data from the + SQL table. This allows for creating objects of the same type as the function is called on. + * source_table (str, required): The name of the table in the database from which the + data will be read. + * engine (sqlalchemy.engine.Engine, required): A SQLAlchemy Engine object representing + the connection to the database. + + **Returns:** + + * Self: A new instance of the current class (`cls`) initialized with the DataFrame + containing the data from the SQL table. + + **Raises:** + + * Potential exceptions raised by the underlying pandas.read_sql function, such as + database connection errors or errors related to data type mismatches. + """ + return cls(df=pd.read_sql(source_table, engine)) + def to_csv( self, output_file: Path, diff --git a/analytics/src/analytics/integrations/db.py b/analytics/src/analytics/integrations/db.py new file mode 100644 index 000000000..6f6ef1155 --- /dev/null +++ b/analytics/src/analytics/integrations/db.py @@ -0,0 +1,29 @@ +# pylint: disable=invalid-name, line-too-long +"""Get a connection to the database using a SQLAlchemy engine object.""" + +from sqlalchemy import Engine, create_engine + +from config import settings + + +# The variables used in the connection url are set in settings.toml and +# .secrets.toml. These can be overridden with the custom prefix defined in config.py: "ANALYTICS". +# e.g. `export ANALYTICS_POSTGRES_USER=new_usr`. +# Docs: https://www.dynaconf.com/envvars/ +def get_db() -> Engine: + """ + Get a connection to the database using a SQLAlchemy engine object. + + This function retrieves the database connection URL from the configuration + and creates a SQLAlchemy engine object. + + Yields + ------ + sqlalchemy.engine.Engine + A SQLAlchemy engine object representing the connection to the database. + """ + return create_engine( + f"postgresql+psycopg://{settings.postgres_user}:{settings.postgres_password}@{settings.postgres_host}:{settings.postgres_port}", + pool_pre_ping=True, + hide_parameters=True, + )