commit e27bf2a0987cab822217e92e30c2d6fdbe9d4d09 Author: Patryk Hegenberg Date: Wed Feb 11 13:00:39 2026 +0100 first inital commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..505a3b1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,10 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv diff --git a/collectors/__init__.py b/collectors/__init__.py new file mode 100644 index 0000000..1d1a60c --- /dev/null +++ b/collectors/__init__.py @@ -0,0 +1 @@ +"A Python package to get hourly energy prices and weather" diff --git a/collectors/pricing.py b/collectors/pricing.py new file mode 100644 index 0000000..cb11698 --- /dev/null +++ b/collectors/pricing.py @@ -0,0 +1,29 @@ +from datetime import datetime +import time +import polars as pl +from utils import request_utils + + +def fetch_prices(region: str = "DE-LU", filter_id: int = 4169) -> pl.DataFrame: + current_time = 0 + closest = 0 + now_ms = int(time.time()) * 1000 + index_url = ( + f"https://www.smard.de/app/chart_data/{filter_id}/{region}/index_hour.json" + ) + timestamps = request_utils.make_requests(index_url, timeout=20) + closest = min(timestamps.get("timestamps", []), key=lambda x: abs(x - now_ms)) + + current_time = closest + url = f"https://www.smard.de/app/chart_data/{filter_id}/{region}/{filter_id}_{region}_hour_{current_time}.json" + data = request_utils.make_requests(url, timeout=20) + series = data.get("series", []) + clean_series = [row for row in series if row[1] is not None] + + df = pl.DataFrame( + { + "timestamp": [row[0] for row in clean_series], + "price": [row[1] for row in clean_series], + } + ) + return df diff --git a/collectors/weather.py b/collectors/weather.py new file mode 100644 index 0000000..2da9480 --- /dev/null +++ b/collectors/weather.py @@ -0,0 +1,36 @@ +from datetime import datetime, timedelta, timezone +from utils import request_utils +import polars as pl + + +def fetch_weather(lat: float = 52.52, lon: float = 13.41) -> pl.DataFrame: + url = "https://api.brightsky.dev/weather" + headers = {"Accept": "application/json"} + current_utc = datetime.now(timezone.utc) + payload = { + "date": (current_utc - timedelta(hours=72)).isoformat(), + "last_date": current_utc.isoformat(), + "lat": lat, + "lon": lon, + "units": "dwd", + "tz": "Etc/UTC", + } + data = request_utils.make_requests(url, headers, payload, 20) + relevant_fields = [ + "temperature", + "wind_speed", + "solar", + "sunshine", + "cloud_cover", + "precipitation", + ] + critical_fields = ["temperature", "wind_speed"] + + weather_data = [ + {k: v for k, v in entry.items() if k in relevant_fields or k in ["timestamp"]} + for entry in data["weather"] + if all(entry.get(field) is not None for field in critical_fields) + ] + + df_weather = pl.DataFrame(weather_data) + return df_weather diff --git a/config/config.yaml b/config/config.yaml new file mode 100644 index 0000000..e69de29 diff --git a/dashboard/app.py b/dashboard/app.py new file mode 100644 index 0000000..e69de29 diff --git a/main.py b/main.py new file mode 100644 index 0000000..086ce76 --- /dev/null +++ b/main.py @@ -0,0 +1,50 @@ +import sys +from collectors import pricing, weather +from transformators import transformator +from utils import database as db +import logging + + +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + + +def main(): + logger.info("Starte Strompreis-Pipeline") + + logger.info("Hole Preisdaten...") + df_prices_raw = pricing.fetch_prices() + logger.info(f"Preise: {len(df_prices_raw)} Zeilen") + + logger.info("Hole Wetterdaten...") + df_weather_raw = weather.fetch_weather() + logger.info(f"Wetter: {len(df_weather_raw)} Zeilen") + + logger.info("Transformiere Daten...") + df_prices_clean = transformator.transform_prices(df_prices_raw) + df_weather_clean = transformator.transform_weather(df_weather_raw) + df_joined = transformator.join_dataframes(df_prices_clean, df_weather_clean) + logger.info(f"Joined: {len(df_joined)} Zeilen") + + logger.info("Speichere in DuckDB...") + with db.get_connection() as con: + db.init_tables(con) + db.upsert_prices(con, df_prices_raw) + db.upsert_prices_clean(con, df_prices_clean) + db.upsert_weather(con, df_weather_raw) + db.upsert_combined(con, df_joined) + logger.info("Erfolgreich zur Datenbank hinzugefügt.") + + +if __name__ == "__main__": + try: + main() + except KeyboardInterrupt: + logger.info("Pipeline durch Benutzer gestoppt") + sys.exit(0) + except Exception as e: + logger.error(f"Pipeline fehlgeschlagen: {e}", exc_info=True) + sys.exit(1) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..c7cd9ec --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,12 @@ +[project] +name = "strompreis-pipline" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "duckdb>=1.4.4", + "polars>=1.38.1", + "pyarrow>=23.0.0", + "requests>=2.32.5", +] diff --git a/tests/test_pricing.py b/tests/test_pricing.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_transformator.py b/tests/test_transformator.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_weather.py b/tests/test_weather.py new file mode 100644 index 0000000..e69de29 diff --git a/transformators/__init__.py b/transformators/__init__.py new file mode 100644 index 0000000..1a2100c --- /dev/null +++ b/transformators/__init__.py @@ -0,0 +1 @@ +"module to transform and join dataframes" diff --git a/transformators/transformator.py b/transformators/transformator.py new file mode 100644 index 0000000..dd03270 --- /dev/null +++ b/transformators/transformator.py @@ -0,0 +1,76 @@ +from datetime import timedelta +import polars as pl + + +def transform_prices(df: pl.DataFrame) -> pl.DataFrame: + return df.with_columns( + [ + pl.col("timestamp") + .cast(pl.Datetime("ms")) + .dt.replace_time_zone("UTC") + .alias("timestamp") + ] + ) + + +def transform_weather(df: pl.DataFrame) -> pl.DataFrame: + return df.with_columns( + [ + pl.col("timestamp") + .str.to_datetime( + format="%Y-%m-%dT%H:%M:%S%z", + time_zone="UTC", + ) + .cast(pl.Datetime("ms", time_zone="UTC")) + .alias("timestamp") + ] + ) + + +def join_dataframes(df_prices: pl.DataFrame, df_weather: pl.DataFrame) -> pl.DataFrame: + return df_prices.join(df_weather, on="timestamp", how="inner").select( + [ + pl.col("timestamp"), + pl.col("price"), + pl.col( + [ + "temperature", + "wind_speed", + "solar", + "sunshine", + "cloud_cover", + "precipitation", + ] + ), + ] + ) + + +# +# +# def join_dataframes(df_prices: pl.DataFrame, df_weather: pl.DataFrame) -> pl.DataFrame: +# return ( +# df_prices.sort("timestamp") # ← Pflicht! +# .join_asof( +# df_weather.sort("timestamp"), # ← Pflicht! +# on="timestamp", +# strategy="nearest", # ← nearest statt backward! +# tolerance=timedelta(hours=1), +# ) +# .select( +# [ +# pl.col("timestamp"), +# pl.col("price"), +# pl.col( +# [ +# "temperature", +# "wind_speed", +# "solar", +# "sunshine", +# "cloud_cover", +# "precipitation", +# ] +# ), +# ] +# ) +# ) diff --git a/utils/__init__.py b/utils/__init__.py new file mode 100644 index 0000000..0674be3 --- /dev/null +++ b/utils/__init__.py @@ -0,0 +1 @@ +"module with a set of utility functions" diff --git a/utils/config_loader.py b/utils/config_loader.py new file mode 100644 index 0000000..e69de29 diff --git a/utils/database.py b/utils/database.py new file mode 100644 index 0000000..9750826 --- /dev/null +++ b/utils/database.py @@ -0,0 +1,77 @@ +import duckdb +import polars as pl +from contextlib import contextmanager + + +@contextmanager +def get_connection(db_path: str = "output/pipeline.duckdb"): + con = duckdb.connect(db_path) + try: + yield con + finally: + con.close() + + +def init_tables(con: duckdb.DuckDBPyConnection): + con.execute(""" + CREATE TABLE IF NOT EXISTS prices_raw ( + timestamp BIGINT NOT NULL UNIQUE, + price DOUBLE NOT NULL + ) + """) + + con.execute(""" + CREATE TABLE IF NOT EXISTS prices_clean ( + timestamp TIMESTAMP NOT NULL UNIQUE, + price DOUBLE NOT NULL + ) + """) + + con.execute(""" + CREATE TABLE IF NOT EXISTS weather_raw ( + timestamp TIMESTAMP NOT NULL UNIQUE, + temperature DOUBLE, + wind_speed DOUBLE, + solar DOUBLE, + sunshine DOUBLE, + cloud_cover DOUBLE, + precipitation DOUBLE + ) + """) + + con.execute(""" + CREATE TABLE IF NOT EXISTS combined ( + timestamp TIMESTAMP NOT NULL UNIQUE, + price DOUBLE NOT NULL, + temperature DOUBLE, + wind_speed DOUBLE, + solar DOUBLE, + sunshine DOUBLE, + cloud_cover DOUBLE, + precipitation DOUBLE + ) + """) + + +def upsert_prices(con: duckdb.DuckDBPyConnection, df: pl.DataFrame): + con.execute( + """INSERT INTO prices_raw SELECT * FROM df ON CONFLICT (timestamp) DO NOTHING;""" + ) + + +def upsert_prices_clean(con: duckdb.DuckDBPyConnection, df: pl.DataFrame): + con.execute( + """INSERT INTO prices_clean SELECT * FROM df ON CONFLICT (timestamp) DO NOTHING;""" + ) + + +def upsert_weather(con: duckdb.DuckDBPyConnection, df: pl.DataFrame): + con.execute( + """INSERT INTO weather_raw SELECT * FROM df ON CONFLICT (timestamp) DO NOTHING;""" + ) + + +def upsert_combined(con: duckdb.DuckDBPyConnection, df: pl.DataFrame): + con.execute( + """INSERT INTO combined SELECT * FROM df ON CONFLICT (timestamp) DO NOTHING;""" + ) diff --git a/utils/request_utils.py b/utils/request_utils.py new file mode 100644 index 0000000..18a2b76 --- /dev/null +++ b/utils/request_utils.py @@ -0,0 +1,23 @@ +import requests + + +def make_requests( + url: str, headers: dict = {}, payload: dict = {}, timeout: int = 20 +) -> dict: + try: + res = requests.get(url, headers=headers, params=payload, timeout=timeout) + res.raise_for_status() + return res.json() + except requests.exceptions.HTTPError as errh: + print("HTTP Error") + print(errh.args[0]) + raise errh + except 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