diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index c58790ba..d1572772 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -4,6 +4,24 @@ run-name: Triggered by ${{ github.event_name }} to ${{ github.ref }} by @${{ git on: [push] jobs: + auth: + runs-on: ubuntu-latest + name: auth + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + with: + submodules: true + - name: Setup Go + uses: actions/setup-go@v4 + with: + go-version: '1.22.0' + - name: Build Auth + run: | + cd auth + go get . + go build + dashboard: runs-on: ubuntu-latest name: dashboard @@ -22,24 +40,6 @@ jobs: npm ci npm run build - auth: - runs-on: ubuntu-latest - name: auth - steps: - - name: Checkout Repository - uses: actions/checkout@v4 - with: - submodules: true - - name: Setup Go - uses: actions/setup-go@v4 - with: - go-version: '1.22.0' - - name: Build Auth - run: | - cd auth - go get . - go build - jeddah: runs-on: ubuntu-latest name: jeddah @@ -94,8 +94,32 @@ jobs: go get . go build + query: + runs-on: ubuntu-latest + name: query + steps: + - name: Checkout Repository + uses: actions/checkout@v4 + with: + submodules: true + - name: Setup Python + uses: actions/setup-python@v4 + with: + python-version: '3.11' + - name: Install Poetry + uses: snok/install-poetry@v1 + with: + version: 2.0.0 + - name: Build Query + run: | + cd query + poetry install + poetry build + + + all: - needs: [dashboard, auth, jeddah, gr24, gr25] + needs: [auth, dashboard, jeddah, gr24, gr25, query] runs-on: ubuntu-latest name: all steps: diff --git a/gr25/go.mod b/gr25/go.mod index a28b8832..78cb1a8e 100644 --- a/gr25/go.mod +++ b/gr25/go.mod @@ -48,7 +48,7 @@ require ( require ( github.com/fatih/color v1.18.0 - github.com/gaucho-racing/mapache-go v1.6.1 + github.com/gaucho-racing/mapache-go v1.6.2 github.com/gin-contrib/cors v1.7.3 github.com/singlestore-labs/gorm-singlestore v1.2.0 go.uber.org/multierr v1.10.0 // indirect diff --git a/gr25/go.sum b/gr25/go.sum index e920d8dd..ca08cba5 100644 --- a/gr25/go.sum +++ b/gr25/go.sum @@ -21,6 +21,8 @@ github.com/gabriel-vasile/mimetype v1.4.7 h1:SKFKl7kD0RiPdbht0s7hFtjl489WcQ1VyPW github.com/gabriel-vasile/mimetype v1.4.7/go.mod h1:GDlAgAyIRT27BhFl53XNAFtfjzOkLaF35JdEG0P7LtU= github.com/gaucho-racing/mapache-go v1.6.1 h1:VnrTyvr3tOWiMQsIj2Ij+ggNLyeddu2OKITWSGVIFXg= github.com/gaucho-racing/mapache-go v1.6.1/go.mod h1:I8lpCGdURUpNaDX4JJSWdFDJdjT7i3fMvTvwHICDtqI= +github.com/gaucho-racing/mapache-go v1.6.2 h1:pMmuRkRO1jhtF1LLVdb0kQc2HtoXnKDEqq+05VgKiQ4= +github.com/gaucho-racing/mapache-go v1.6.2/go.mod h1:I8lpCGdURUpNaDX4JJSWdFDJdjT7i3fMvTvwHICDtqI= github.com/gin-contrib/cors v1.7.3 h1:hV+a5xp8hwJoTw7OY+a70FsL8JkVVFTXw9EcfrYUdns= github.com/gin-contrib/cors v1.7.3/go.mod h1:M3bcKZhxzsvI+rlRSkkxHyljJt1ESd93COUvemZ79j4= github.com/gin-contrib/sse v0.1.0 h1:Y/yl/+YNO8GZSjAhjMsSuLt29uWRFHdHYUb5lYOV9qE= diff --git a/query/.gitignore b/query/.gitignore new file mode 100644 index 00000000..1800114d --- /dev/null +++ b/query/.gitignore @@ -0,0 +1,174 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# UV +# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +#uv.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# Ruff stuff: +.ruff_cache/ + +# PyPI configuration file +.pypirc \ No newline at end of file diff --git a/query/Makefile b/query/Makefile new file mode 100644 index 00000000..e4c07e7b --- /dev/null +++ b/query/Makefile @@ -0,0 +1,22 @@ +.PHONY: install run test lint clean + +install: + poetry install + +run: + chmod +x scripts/run.sh + ./scripts/run.sh + +test: + poetry run pytest + +lint: + poetry run black . + poetry run isort . + poetry run flake8 . + +clean: + rm -rf __pycache__ + rm -rf .pytest_cache + rm -rf dist + rm -rf *.egg-info diff --git a/query/README.md b/query/README.md new file mode 100644 index 00000000..e69de29b diff --git a/query/poetry.lock b/query/poetry.lock new file mode 100644 index 00000000..2e067fe9 --- /dev/null +++ b/query/poetry.lock @@ -0,0 +1,783 @@ +# This file is automatically @generated by Poetry 2.0.0 and should not be changed 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+[tool.poetry.scripts] +query = "query.main:main" \ No newline at end of file diff --git a/query/query/__init__.py b/query/query/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/query/query/config/config.py b/query/query/config/config.py new file mode 100644 index 00000000..2d2cecf4 --- /dev/null +++ b/query/query/config/config.py @@ -0,0 +1,21 @@ +import os + +class Config: + """Configuration settings for the application""" + + # Server settings + VERSION: str = "1.0.0" + PORT: int = int(os.getenv('PORT', 7000)) + + # Database settings + DATABASE_HOST: str = os.getenv('DATABASE_HOST') + DATABASE_PORT: int = int(os.getenv('DATABASE_PORT')) + DATABASE_USER: str = os.getenv('DATABASE_USER') + DATABASE_PASSWORD: str = os.getenv('DATABASE_PASSWORD') + DATABASE_NAME: str = os.getenv('DATABASE_NAME') + + @staticmethod + def get_database_url() -> str: + """Constructs the MySQL database URL from individual settings""" + return f"mysql+pymysql://{Config.DATABASE_USER}:{Config.DATABASE_PASSWORD}@{Config.DATABASE_HOST}:{Config.DATABASE_PORT}/{Config.DATABASE_NAME}" + diff --git a/query/query/database/connection.py b/query/query/database/connection.py new file mode 100644 index 00000000..7d570e99 --- /dev/null +++ b/query/query/database/connection.py @@ -0,0 +1,45 @@ +from query.model.base import Base +from sqlalchemy import create_engine +from sqlalchemy.orm import scoped_session, sessionmaker +from query.config.config import Config + +DATABASE_URL = Config.get_database_url() + +db_session = None + +def init_db(): + """Initialize the database session""" + if not Config.DATABASE_HOST: + raise ValueError("DATABASE_HOST is not set") + elif not Config.DATABASE_PORT: + raise ValueError("DATABASE_PORT is not set") + elif not Config.DATABASE_USER: + raise ValueError("DATABASE_USER is not set") + elif not Config.DATABASE_PASSWORD: + raise ValueError("DATABASE_PASSWORD is not set") + elif not Config.DATABASE_NAME: + raise ValueError("DATABASE_NAME is not set") + else: + global db_session + engine = create_engine(DATABASE_URL) + db_session = scoped_session( + sessionmaker( + autocommit=False, + autoflush=False, + bind=engine + ) + ) + + # Create all tables + Base.metadata.create_all(bind=engine) + print("Database initialized") + +def get_db(): + """Get the database session""" + if not db_session: + raise ValueError("Database session is not initialized") + return db_session + +def shutdown_session(exception=None): + """Remove the session at the end of request""" + db_session.remove() \ No newline at end of file diff --git a/query/query/main.py b/query/query/main.py new file mode 100644 index 00000000..5815974e --- /dev/null +++ b/query/query/main.py @@ -0,0 +1,14 @@ +from fastapi import FastAPI +from query.service.query import merge_to_largest, merge_to_largest_fill, query_signal, analyze_signal_df, raw_merge_df, resample_ffill +import uvicorn +from query.config.config import Config +from query.database.connection import init_db + +def main(): + init_db() + app = FastAPI() + + uvicorn.run(app, host="0.0.0.0", port=Config.PORT) + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/query/query/model/base.py b/query/query/model/base.py new file mode 100644 index 00000000..95ebc0c5 --- /dev/null +++ b/query/query/model/base.py @@ -0,0 +1,3 @@ +from sqlalchemy.orm import declarative_base + +Base = declarative_base() \ No newline at end of file diff --git a/query/query/resources/query.txt b/query/query/resources/query.txt new file mode 100644 index 00000000..3bc88902 --- /dev/null +++ b/query/query/resources/query.txt @@ -0,0 +1 @@ +SELECT MAX(input_voltage) FROM gr24_inverter; \ No newline at end of file diff --git a/query/query/resources/resources.py b/query/query/resources/resources.py new file mode 100644 index 00000000..7ef91f10 --- /dev/null +++ b/query/query/resources/resources.py @@ -0,0 +1,10 @@ +#getter functions for various resources + +with open("resources/sensors.txt", "r") as f: + gr24_sensors = [line.strip() for line in f] + +def get_sensors(vid): + if vid == "gr24": + return gr24_sensors + else: + return None \ No newline at end of file diff --git a/query/query/resources/sensors.txt b/query/query/resources/sensors.txt new file mode 100644 index 00000000..e71ec300 --- /dev/null +++ b/query/query/resources/sensors.txt @@ -0,0 +1,346 @@ +acu_cell78_temp +acu_cell34_voltage +acu_cell54_temp +acu_cell38_temp +acu_cell122_voltage +acu_cell66_voltage +inverter_fociq +acu_cell65_temp +acu_cell17_temp +acu_cell7_voltage +acu_cell54_voltage +mobile_magnetometer_z +acu_cell28_temp +inverter_sensor_wire_error +acu_fan1_speed +acu_cell121_temp +acu_cell101_voltage +acu_cell76_temp +mobile_longitude +acu_cell13_voltage +acu_temp1 +acu_cell113_temp +acu_cell116_temp +acu_accumulator_current +acu_cell52_temp +acu_cell89_voltage +mobile_magnetometer_x +acu_cell126_voltage +acu_cell43_voltage +acu_cell41_voltage 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+acu_cell86_temp +acu_cell27_temp +acu_cell67_temp +acu_cell125_temp +acu_cell127_voltage +acu_cell72_voltage +vdm_motor_temp_limit +acu_cell9_temp +vdm_can_status +acu_cell37_temp +inverter_brake +mobile_heading +acu_cell49_voltage +acu_cell93_voltage +acu_cell102_temp +acu_cell98_voltage +acu_cell57_temp +acu_cell48_temp +acu_cell28_voltage +acu_cell5_temp +acu_max_cell_temp +acu_cell59_voltage +acu_max_bal_resistor_temp +acu_cell45_voltage +acu_cell119_temp +acu_cell22_voltage +acu_cell29_voltage +acu_cell57_voltage +acu_cell53_temp +acu_cell79_temp +inverter_controller_overtemp_error +acu_cell49_temp +acu_cell91_voltage +acu_cell64_temp +acu_cell51_temp +acu_cell46_temp +acu_under_voltage_error +acu_bms_error +acu_cell76_voltage +acu_cell16_voltage +mobile_altitude +acu_cell110_voltage +acu_cell13_temp +acu_cell4_voltage +acu_cell42_voltage +acu_cell61_voltage +acu_cell18_voltage +acu_cell68_voltage +acu_cell118_voltage +acu_cell121_voltage +vdm_motor_temp_warning +acu_cell19_voltage +acu_cell27_voltage +acu_cell114_voltage +acu_cell21_temp +acu_cell98_temp +inverter_flags_one +acu_cell12_temp +inverter_foc_id +acu_cell110_temp +inverter_can_command_error +acu_cell107_voltage +inverter_digital_io +vdm_brake_r +acu_precharge_error +acu_cell69_temp +acu_cell106_temp +acu_cell116_voltage +acu_cell46_voltage +acu_cell87_voltage +pedal_apps_one +acu_cell9_voltage +acu_cell99_temp +acu_cell122_temp +inverter_flags_two +vdm_bspd_fault +acu_cell64_voltage +acu_cell104_voltage +acu_cell50_temp +acu_over_temp_error +acu_cell108_temp +acu_cell112_temp +acu_cell72_temp +acu_cell77_temp +mobile_gyroscope_y +acu_cell114_temp +acu_cell0_voltage +acu_cell37_voltage +mobile_accelerometer_x +vdm_speed +mobile_speed +acu_cell7_temp +acu_cell112_voltage +acu_ts_voltage +inverter_current_ac +acu_cell34_temp +acu_cell33_voltage +acu_cell55_voltage +acu_cell111_voltage +acu_cell92_temp +acu_cell83_temp +acu_cell109_voltage +acu_cell86_voltage +acu_cell23_voltage +acu_cell97_voltage +acu_sdc_voltage +inverter_current_dc +acu_precharge_done +acu_cell20_voltage +acu_cell6_temp +acu_cell19_temp +inverter_faults +pedal_apps_one_raw +vdm_mode +acu_cell15_voltage +acu_cell44_voltage +inverter_erpm +acu_cell95_voltage +acu_cell2_temp +acu_cell93_temp +acu_cell14_voltage +mobile_gyroscope_z +vdm_brake_f +acu_cell124_voltage +acu_cell16_temp +acu_accumulator_voltage +acu_cell32_temp +acu_cell44_temp +acu_glv_voltage +acu_cell79_voltage +acu_cell90_voltage +acu_cell117_voltage +acu_cell48_voltage +acu_cell97_temp +acu_cell84_temp +vdm_ams_fault +acu_cell83_voltage +acu_cell70_temp +inverter_overvoltage_error +acu_cell39_temp +acu_cell32_voltage +mobile_accelerometer_y +acu_cell24_voltage +pedal_apps_two_raw +inverter_throttle +acu_teensy_error +acu_under_temp_error +acu_cell94_temp +acu_cell40_temp +inverter_analog_input_error +acu_cell43_temp +acu_cell67_voltage +acu_cell81_voltage +acu_cell21_voltage +acu_cell10_temp +acu_cell78_voltage +acu_cell8_voltage +vdm_tcm_status +acu_cell52_voltage +mobile_magnetometer_y +acu_cell92_voltage +inverter_sensor_general_error +acu_cell15_temp +inverter_undervoltage_error +acu_cell65_voltage +acu_cell120_temp +mobile_battery +inverter_controller_temp +acu_cell51_voltage +acu_cell55_temp +acu_cell80_voltage +acu_cell113_voltage +acu_cell24_temp +acu_cell20_temp +acu_cell58_temp +acu_cell107_temp +acu_cell45_temp +acu_cell22_temp +acu_cell31_temp +acu_cell26_temp +inverter_overcurrent_error +vdm_max_power +acu_over_voltage_error +acu_cell40_voltage +acu_cell91_temp +acu_cell119_voltage +acu_cell103_voltage +acu_cell123_voltage +acu_cell104_temp +acu_cell39_voltage +acu_over_current_error +acu_cell35_temp +acu_cell96_voltage +acu_cell42_temp +acu_cell12_voltage +acu_cell56_temp +inverter_can_version +acu_cell81_temp +acu_cell47_voltage +acu_cell111_temp +acu_cell60_voltage +acu_cell118_temp +acu_cell10_voltage +acu_cell71_voltage +acu_cell17_voltage +acu_cell36_temp +acu_cell73_temp +acu_air_positive diff --git a/query/query/routes/query.py b/query/query/routes/query.py new file mode 100644 index 00000000..3b02640f --- /dev/null +++ b/query/query/routes/query.py @@ -0,0 +1,60 @@ +from fastapi import APIRouter, Query, HTTPException +from typing import Annotated +from service.query_service import * +from pydantic import BaseModel +from datetime import datetime +from resources.resources import get_sensors + +vehicle_ids = ["gr24"] + +''' +class query(BaseModel): + status: str + timestamp: datetime + signals: list[dict[str:int]] + errors: dict[str:int] + metadata: dict[str:int] +''' + +router = APIRouter() + +vehicle_ids = ['gr24'] + +@router.get("/") +async def get_query( + vehicle_id: str, + sensors: Annotated[list[str], Query()], + trip: Annotated[str | None, Query()] = None, + lap: Annotated[str | None, Query()] = None, + start: Annotated[int | None, Query()] = None, + stop: Annotated[int | None, Query()] = None, +): + """ + Get items filtered by vehicle ID and sensors + + Parameters: + - vehicle_id: Required vehicle identifier + - sensors: Required list of sensor names to retrieve + - trip: Optional trip identifier + - lap: Optional lap identifier + - start: Optional start timestamp + - stop: Optional stop timestamp + """ + + #Exception Handling + if vehicle_id not in vehicle_ids: + raise HTTPException(status_code=400, detail="Invalid vehicle_id") + missing_sensors = [s for s in sensors if s not in get_sensors(vehicle_id)] + if missing_sensors: + raise HTTPException(status_code=400, detail=f"The following sensors do not exist {missing_sensors}") + if trip: + #takes priority over start/stop should change in future + err, start, stop = query_trip(trip, lap) #if lap is none return entire trip + if err: + raise HTTPException(status_code=400, detail=f"Invalid Trip") + elif start is None or stop is None: + raise HTTPException(status_code=400, detail=f"Invalid Trip") + + return populate_signals(vehicle_id, sensors, start[0], stop[0]) + + diff --git a/query/query/service/query.py b/query/query/service/query.py new file mode 100644 index 00000000..ec209f17 --- /dev/null +++ b/query/query/service/query.py @@ -0,0 +1,241 @@ +from functools import reduce +from query.database.connection import get_db +from query.model import * +import pandas as pd + +def query_signal(vehicle_id: str, signal_name: str, start_time: str, end_time: str) -> pd.DataFrame: + query = f""" + SELECT produced_at, `value` FROM `signal` + WHERE `name` = '{signal_name}' + AND `vehicle_id` = '{vehicle_id}' + AND produced_at > '{start_time}' + AND produced_at < '{end_time}' + ORDER BY produced_at + """ + db = get_db() + result = pd.read_sql(query, db.bind) + result = result.rename(columns={'value': signal_name}) + return result + +def analyze_signal_df(df: pd.DataFrame): + if 'produced_at' not in df.columns: + raise ValueError("DataFrame must contain 'produced_at' column") + if len(df) < 2: + return None + + # Convert to datetime if not already + df['produced_at'] = pd.to_datetime(df['produced_at']) + + # Calculate differences between consecutive timestamps + time_diffs = df['produced_at'].diff().dropna() + + # Calculate total duration and resolution + total_duration = (df['produced_at'].max() - df['produced_at'].min()).total_seconds() + resolution = total_duration / (len(df) - 1) if len(df) > 1 else pd.NaT + + print(f"Total duration: {total_duration} ({df['produced_at'].min()} - {df['produced_at'].max()})") + print(f"Number of rows: {len(df)}") + print(f"Resolution: {resolution}") + + # Find indices of min and max time differences + min_idx = time_diffs.idxmin() + max_idx = time_diffs.idxmax() + + print(f"Minimum time difference: {time_diffs.min().total_seconds()} seconds") + print(f" Between rows {min_idx-1} and {min_idx}") + print(f" Times: {df['produced_at'].iloc[min_idx-1]} - {df['produced_at'].iloc[min_idx]}") + + print(f"Maximum time difference: {time_diffs.max().total_seconds()} seconds") + print(f" Between rows {max_idx-1} and {max_idx}") + print(f" Times: {df['produced_at'].iloc[max_idx-1]} - {df['produced_at'].iloc[max_idx]}") + + print(f"Average time difference: {time_diffs.mean().total_seconds()} seconds") +def raw_merge_df(*dfs: pd.DataFrame): + """ + Merges multiple DataFrames on the 'produced_at' column using an outer join. + + Parameters: + dfs (list of pd.DataFrame): A variable number of DataFrames to merge. + + Returns: + pd.DataFrame: A merged DataFrame containing all timestamps from all inputs. + """ + if not dfs: + raise ValueError("At least one DataFrame must be provided") + + merged_df = reduce(lambda left, right: pd.merge(left, right, on='produced_at', how='outer'), dfs) + + # Sort by produced_at + merged_df = merged_df.sort_values(by='produced_at') + merged_df = merged_df.reset_index(drop=True) + + # Count NaN values in each column (excluding produced_at) + nan_counts = merged_df.drop('produced_at', axis=1).isna().sum() + print("\nNaN counts per column:") + print(nan_counts) + + # Total NaN count + total_nans = nan_counts.sum() + print(f"\nTotal NaN values across all columns: {total_nans}") + + return merged_df + +def merge_to_largest(*dfs: pd.DataFrame): + """ + Merges all DataFrames onto the one with the most rows using closest matching produced_at timestamps. + Optionally exports the result to a CSV file. + + Parameters: + dfs (list of pd.DataFrame): List of DataFrames to merge. + output_path (str, optional): Path to save the CSV file. If None, no file is saved. + + Returns: + pd.DataFrame: A merged DataFrame with all values aligned to the largest DataFrame. + """ + if not dfs: + raise ValueError("At least one DataFrame must be provided") + + tolerance = pd.Timedelta("50ms") + + # Identify the DataFrame with the most rows + main_df = max(dfs, key=len) + + # Ensure produced_at is a datetime column + main_df["produced_at"] = pd.to_datetime(main_df["produced_at"]) + + # Sort the main DataFrame by time + main_df = main_df.sort_values("produced_at") + + # Merge all other DataFrames using asof join + for df in dfs: + if df is main_df: + continue # Skip merging the main dataframe with itself + + df["produced_at"] = pd.to_datetime(df["produced_at"]) + df = df.sort_values("produced_at") # Sort for merge_asof + + # Merge using closest timestamps + main_df = pd.merge_asof( + main_df, df, on="produced_at", direction="nearest", tolerance=tolerance + ) + + # Sort by produced_at + main_df = main_df.sort_values(by='produced_at') + main_df = main_df.reset_index(drop=True) + + # Count NaN values in each column (excluding produced_at) + nan_counts = main_df.drop('produced_at', axis=1).isna().sum() + print("\nNaN counts per column:") + print(nan_counts) + + # Total NaN count + total_nans = nan_counts.sum() + print(f"\nTotal NaN values across all columns: {total_nans}") + + output_path = "~/Downloads/export.csv" + main_df.to_csv(output_path, index=False) + print(f"\nData exported to: {output_path}") + + return main_df + + +def merge_to_largest_fill(*dfs: pd.DataFrame): + """ + Merges all DataFrames onto the one with the most rows using closest matching produced_at timestamps. + Fills missing values with the most recent non-null value. + Optionally exports the result to a CSV file. + + Parameters: + dfs (list of pd.DataFrame): List of DataFrames to merge. + output_path (str, optional): Path to save the CSV file. If None, no file is saved. + + Returns: + pd.DataFrame: A merged DataFrame with all values aligned to the largest DataFrame. + """ + if not dfs: + raise ValueError("At least one DataFrame must be provided") + + tolerance = pd.Timedelta("50ms") + + # Identify the DataFrame with the most rows + main_df = max(dfs, key=len) + + # Ensure produced_at is a datetime column + main_df["produced_at"] = pd.to_datetime(main_df["produced_at"]) + + # Sort the main DataFrame by time + main_df = main_df.sort_values("produced_at") + + # Merge all other DataFrames using asof join + for df in dfs: + if df is main_df: + continue # Skip merging the main dataframe with itself + + df["produced_at"] = pd.to_datetime(df["produced_at"]) + df = df.sort_values("produced_at") # Sort for merge_asof + + # Merge using closest timestamps + main_df = pd.merge_asof( + main_df, df, on="produced_at", direction="nearest", tolerance=tolerance + ) + + # Sort by produced_at + main_df = main_df.sort_values(by='produced_at') + main_df = main_df.reset_index(drop=True) + + # Forward fill NaN values with most recent non-null value + main_df = main_df.fillna(method='ffill') + + # Count NaN values in each column (excluding produced_at) + nan_counts = main_df.drop('produced_at', axis=1).isna().sum() + print("\nNaN counts per column after forward fill:") + print(nan_counts) + + # Total NaN count + total_nans = nan_counts.sum() + print(f"\nTotal NaN values across all columns after forward fill: {total_nans}") + + output_path = "~/Downloads/export.csv" + main_df.to_csv(output_path, index=False) + print(f"\nData exported to: {output_path}") + + return main_df + +def resample_ffill(df: pd.DataFrame, interval: str): + """ + Resamples a DataFrame to a given time interval using forward fill for missing values. + + Parameters: + df (pd.DataFrame): The input DataFrame with a datetime column. + interval (str): Resampling interval (e.g., "1T" for 1 minute, "5S" for 5 seconds). + + Returns: + pd.DataFrame: A resampled DataFrame with forward-filled missing values. + """ + if "produced_at" not in df.columns: + raise ValueError("DataFrame must contain a 'produced_at' column") + + # Ensure 'produced_at' is a datetime column + df["produced_at"] = pd.to_datetime(df["produced_at"]) + + # Set produced_at as the index for resampling + df = df.set_index("produced_at") + + # Resample with forward fill (nearest previous value) + resampled_df = df.resample(interval).ffill() + resampled_df = resampled_df.reset_index() + + # Sort by produced_at + resampled_df = resampled_df.sort_values(by='produced_at') + resampled_df = resampled_df.reset_index(drop=True) + + # Count NaN values in each column (excluding produced_at) + nan_counts = resampled_df.drop('produced_at', axis=1).isna().sum() + print("\nNaN counts per column after forward fill:") + print(nan_counts) + + # Total NaN count + total_nans = nan_counts.sum() + print(f"\nTotal NaN values across all columns after forward fill: {total_nans}") + + return resampled_df diff --git a/query/scripts/run.sh b/query/scripts/run.sh new file mode 100755 index 00000000..6fc2e3d2 --- /dev/null +++ b/query/scripts/run.sh @@ -0,0 +1,19 @@ +# check if pyproject.toml exists in current directory +if [ ! -f pyproject.toml ]; then + echo "pyproject.toml not found" + echo "Please make sure you are in the root service directory" + exit 1 +fi + +# check if .env exists in current directory +if [ ! -f .env ]; then + echo ".env not found" + echo "Please make sure the .env file is present in the current directory" + exit 1 +fi + + +set -a +. .env +poetry install +poetry run query \ No newline at end of file diff --git a/query/tests/__init__.py b/query/tests/__init__.py new file mode 100644 index 00000000..e69de29b