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feat: finish db creator

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This commit is contained in:
Christopher Gondek 2025-09-26 13:51:14 +02:00
parent 4f4d1ddf30
commit 4c1dc3d4fa
7 changed files with 603 additions and 5 deletions
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3
pyproject.toml
View file

@ -6,9 +6,12 @@ readme = "README.md"
requires-python = ">=3.13" requires-python = ">=3.13"
dependencies = [ dependencies = [
"fastapi>=0.117.1", "fastapi>=0.117.1",
"httpx>=0.28.1",
"msal>=1.34.0",
"pandas>=2.3.2", "pandas>=2.3.2",
"pydantic>=2.11.9", "pydantic>=2.11.9",
"pydantic-settings>=2.10.1", "pydantic-settings>=2.10.1",
"pyyaml>=6.0.2", "pyyaml>=6.0.2",
"sqlalchemy>=2.0.43",
"uvicorn>=0.37.0", "uvicorn>=0.37.0",
] ]

18
src/dataprocessor/domain/base_datasaver.py Normal file
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@ -0,0 +1,18 @@
"""Abstract base class for data savers."""
from abc import ABC, abstractmethod
class BaseDataSaver(ABC):
"""Abstract base class for data savers."""
@abstractmethod
async def save_table(self, df, table_name: str, overwrite: bool = True):
"""Save the DataFrame to the specified table.
Args:
df: The DataFrame to save.
table_name: The name of the table to save the data to.
overwrite: If True, overwrite the existing table. If False, append to it.
"""
pass

134
src/dataprocessor/domain/powerbi_reader.py
View file

@ -1,17 +1,141 @@
from msal import ConfidentialClientApplication, SerializableTokenCache
import anyio # comes with FastAPI via Starlette/AnyIO
from dataclasses import dataclass from dataclasses import dataclass
from settings import settings
import pandas as pd import pandas as pd
import httpx
import re
import sqlite3
@dataclass @dataclass
class PowerBIReader: class PowerBIReader:
dataset_id: str dataset_id: str
access_token: str access_token: str
table_name: str
base_url: str = settings.POWERBI_BASE_URL
include_nulls: bool = True
@classmethod @classmethod
async def create(cls, dataset_id: str, access_token: str): async def create(
instance = cls(dataset_id=dataset_id, access_token=access_token) cls, dataset_id: str, access_token: str, table_name: str, **kwargs
return instance ):
return cls(
dataset_id=dataset_id,
access_token=access_token,
table_name=table_name,
**kwargs,
)
def _dax_query(self) -> str:
# Escape single quotes in table names per DAX rules
safe = self.table_name.replace("'", "''")
return f"EVALUATE '{safe}'"
async def read_data(self) -> pd.DataFrame: async def read_data(self) -> pd.DataFrame:
# TODO: Implement actual Power BI data reading logic """
return pd.DataFrame({"data": ["sample data"]}) Calls Power BI REST API: POST /datasets/{datasetId}/executeQueries
with DAX: EVALUATE 'TableName' and returns a DataFrame.
"""
url = f"{self.base_url}/datasets/{self.dataset_id}/executeQueries"
body = {
"queries": [{"query": self._dax_query()}],
"serializerSettings": {"includeNulls": self.include_nulls},
}
headers = {
"Authorization": f"Bearer {self.access_token}",
"Content-Type": "application/json",
}
async with httpx.AsyncClient(timeout=60) as client:
resp = await client.post(url, headers=headers, json=body)
if resp.status_code != 200:
raise RuntimeError(
f"Power BI executeQueries failed: {resp.status_code} - {resp.text}"
)
payload = resp.json()
try:
rows = payload["results"][0]["tables"][0]["rows"]
except (KeyError, IndexError) as e:
raise RuntimeError("Unexpected executeQueries response structure") from e
if not rows:
return pd.DataFrame()
df = pd.DataFrame(rows)
# Columns often come back as "Table[Column]". Strip the qualifier.
def _strip_qual(col: str) -> str:
if "[" in col and col.endswith("]"):
return col.split("[", 1)[1][:-1]
return col
df.columns = [_strip_qual(c) for c in df.columns]
return df
async def to_sqlite(
self, db_path: str, table_name: str | None = None, if_exists: str = "replace"
) -> int:
"""
Reads from Power BI and writes into SQLite. Returns row count written.
"""
df = await self.read_data()
if df.empty:
return 0
# Normalize SQLite table name
tn = table_name or self.table_name
tn = re.sub(r"[^\w]+", "_", tn).lower().strip("_")
with sqlite3.connect(db_path) as conn:
df.to_sql(tn, conn, if_exists=if_exists, index=False)
return len(df)
@staticmethod
def _get_access_token_sync(
tenant_id: str,
client_id: str,
client_secret: str,
*,
authority_base: str = settings.POWERBI_AUTHORITY_BASE,
cache: SerializableTokenCache | None = None,
) -> str:
SCOPE = ["https://analysis.windows.net/powerbi/api/.default"] # local scope
authority = f"{authority_base}/{tenant_id}"
app = ConfidentialClientApplication(
client_id=client_id,
authority=authority,
client_credential=client_secret,
token_cache=cache, # pass a SerializableTokenCache to reuse tokens
)
# Try cache first; fall back to client credentials
result = app.acquire_token_silent(
SCOPE, account=None
) or app.acquire_token_for_client(scopes=SCOPE)
if "access_token" not in result:
raise RuntimeError(
f"MSAL token error: {result.get('error')} - {result.get('error_description')}"
)
return result["access_token"]
@staticmethod
async def _get_access_token_async(
tenant_id: str,
client_id: str,
client_secret: str,
**kwargs,
) -> str:
# Offload the blocking MSAL HTTP call to a worker thread
return await anyio.to_thread.run_sync(
PowerBIReader._get_access_token_sync,
tenant_id,
client_id,
client_secret,
**kwargs,
)

56
src/dataprocessor/domain/sqlite_datasaver.py Normal file
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@ -0,0 +1,56 @@
"""Database saver for saving and updating data in the database."""
import pandas as pd
import logging
from dataclasses import dataclass
from sqlalchemy.ext.asyncio import create_async_engine, AsyncEngine
from src.dataprocessor.domain.base_datasaver import BaseDataSaver
logger = logging.getLogger(__name__)
@dataclass
class SQLiteDataSaver(BaseDataSaver):
"""Class responsible for saving data to the SQLite database."""
db_url: str
engine: AsyncEngine
@classmethod
async def create(cls, db_path: str) -> "SQLiteDataSaver":
"""Create a new instance of DataSaver."""
# Build the full db url
db_url = f"sqlite+aiosqlite:///{db_path}"
engine = create_async_engine(db_url, future=True)
return cls(db_url=db_url, engine=engine)
async def save_table(
self, df: pd.DataFrame, table_name: str, overwrite: bool = True
):
"""Save the DataFrame to the specified table, overwriting existing data.
Args:
df: The DataFrame to save.
table_name: The name of the table to save the data to.
overwrite: If True, overwrite the existing table. If False, append to it.
"""
async with self.engine.begin() as conn:
operation = "replace" if overwrite else "append"
# Sync to be compatible with Pandas:
await conn.run_sync(
lambda sync_conn: df.to_sql(
name=table_name,
con=sync_conn, # Sync required
if_exists=operation, # Overwrite
index=False,
)
)
await self.engine.dispose()
logger.info(
f"Saved {len(df)} rows to table '{table_name}' in database '{self.db_url}'."
)

62
src/dataprocessor/service.py Normal file
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@ -0,0 +1,62 @@
"""Main service module for data processing."""
from dataclasses import dataclass
from src.settings import settings
from src.dataprocessor.domain.powerbi_reader import PowerBIReader
from src.dataprocessor.domain.preprocessor import Preprocessor
from dataprocessor.domain.base_datasaver import BaseDataSaver
from src.dataprocessor.domain.sqlite_datasaver import SQLiteDataSaver
@dataclass
class DataProcessorService:
"""Service class for data processing operations."""
power_bi_reader: PowerBIReader = None
preprocessor: Preprocessor = None
data_saver: BaseDataSaver = None
@classmethod
async def create(cls) -> "DataProcessorService":
"""Create a new instance of DataProcessorService."""
instance = cls()
instance.power_bi_reader = await cls._create_powerbi_reader()
instance.preprocessor = await cls._create_preprocessor()
instance.data_saver = await SQLiteDataSaver.create(settings.DB_PATH)
return instance
@staticmethod
async def _create_powerbi_reader() -> PowerBIReader:
"""Create and initialize the PowerBIReader."""
access_token = await PowerBIReader._get_access_token_async(
tenant_id=settings.POWERBI_TENANT_ID,
client_id=settings.POWERBI_CLIENT_ID,
client_secret=settings.POWERBI_CLIENT_SECRET,
)
power_bi_reader = await PowerBIReader.create(
dataset_id=settings.POWERBI_DATASET_ID,
access_token=access_token,
table_name=settings.POWERBI_TABLE_NAME,
)
return power_bi_reader
@staticmethod
async def _create_preprocessor() -> Preprocessor:
"""Create and initialize the Preprocessor."""
preprocessor = await Preprocessor.create(settings.PP_CONFIG_PATH)
return preprocessor
async def update_database(self):
"""Placeholder method for updating the database."""
# Step 1: Read data from Power BI
df = await self.power_bi_reader.read_data()
if df.empty:
raise RuntimeError("No data read from Power BI.")
# Step 2: Preprocess the data
df = await self.preprocessor.preprocess(df)
if df.empty:
raise RuntimeError("No data returned from preprocessing.")
# Step 3: Update the local SQLite database
await self.data_saver.save_table(
df, self.power_bi_reader.table_name, overwrite=True
)

54
src/settings.py
View file

@ -12,5 +12,59 @@ class Settings(BaseSettings):
..., description="API key to access this app for preprocessing." ..., description="API key to access this app for preprocessing."
) )
# Preprocessing configuration file path.
PP_CONFIG_PATH: str = Field(
"src/preprocess.yaml",
description="Path to the preprocessing configuration YAML file.",
)
# SQLite database file path.
# For in memory, use ":memory:" (not persistent).
DB_PATH: str = Field(
"data/database.sqlite", description="Path to the SQLite database."
)
# --- Power BI Settings ---
# Power BI base URL.
POWERBI_BASE_URL: str = Field(
"https://api.powerbi.com/v1.0/myorg",
# "https://api.powerbigov.us/v1.0/myorg", # Rare: US Gov Cloud
# "https://api.powerbi.de/v1.0/myorg", # Rare: Germany
# "https://api.powerbi.cn/v1.0/myorg", # Rare: China
description="Base URL for Power BI REST API.",
)
# Power BI authority base.
POWERBI_AUTHORITY_BASE: str = Field(
"https://login.microsoftonline.com",
description="Base URL for Power BI authority.",
)
# Power BI Dataset ID.
POWERBI_DATASET_ID: str = Field(
..., description="Power BI Dataset ID to read data from."
)
# Power BI Table Name.
POWERBI_TABLE_NAME: str = Field(
..., description="Power BI Table name to read data from."
)
# Power BI Tenant ID.
POWERBI_TENANT_ID: str = Field(
..., description="Azure AD Tenant ID for Power BI authentication."
)
# Power BI Client ID.
POWERBI_CLIENT_ID: str = Field(
..., description="Azure AD Client ID for Power BI authentication."
)
# Power BI Client Secret.
POWERBI_CLIENT_SECRET: str = Field(
..., description="Azure AD Client Secret for Power BI authentication."
)
settings = Settings() settings = Settings()

281
uv.lock
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