diff --git a/arpav_ppcv/cliapp/app.py b/arpav_ppcv/cliapp/app.py index a5fc4513..97849ce1 100644 --- a/arpav_ppcv/cliapp/app.py +++ b/arpav_ppcv/cliapp/app.py @@ -1,11 +1,7 @@ import datetime as dt import uuid -from typing import ( - Annotated, - Optional, -) +from typing import Optional -import geojson_pydantic import pydantic_core import sqlmodel import typer @@ -17,60 +13,20 @@ observations, ) from . import schemas +from .climaticindicators import app as climatic_indicators_app +from .observations import ( + series_configurations_app, + stations_app, +) app = typer.Typer() +app.add_typer(climatic_indicators_app, name="climatic-indicators") +app.add_typer(stations_app, name="observation-stations") +app.add_typer(series_configurations_app, name="observation-series-configurations") _JSON_INDENTATION = 2 -@app.command(name="list-stations") -def list_stations(ctx: typer.Context) -> None: - """List stations.""" - with sqlmodel.Session(ctx.obj["engine"]) as session: - result = [ - schemas.StationRead(**s.model_dump()) - for s in database.collect_all_stations(session) - ] - print(pydantic_core.to_json(result, indent=_JSON_INDENTATION).decode("utf-8")) - - -@app.command(name="create-station", context_settings={"ignore_unknown_options": True}) -def create_station( - ctx: typer.Context, - code: str, - longitude: Annotated[float, typer.Argument(min=-180, max=180)], - latitude: Annotated[float, typer.Argument(min=-90, max=90)], - altitude: Annotated[float, typer.Option(min=-50, max=10_000)] = None, - name: Annotated[str, typer.Option(help="Station name")] = "", - type: Annotated[str, typer.Option(help="Station type")] = "", -) -> None: - station_create = schemas.StationCreate( - geom=geojson_pydantic.Point(type="Point", coordinates=(longitude, latitude)), - code=code, - altitude_m=altitude, - name=name, - type_=type.lower().replace(" ", "_"), - ) - """Create a new station.""" - with sqlmodel.Session(ctx.obj["engine"]) as session: - db_station = database.create_station(session, station_create) - print( - schemas.StationRead(**db_station.model_dump()).model_dump_json( - indent=_JSON_INDENTATION - ) - ) - - -@app.command(name="delete-station") -def delete_station( - ctx: typer.Context, - station_id: uuid.UUID, -) -> None: - """Delete a station.""" - with sqlmodel.Session(ctx.obj["engine"]) as session: - database.delete_station(session, station_id) - - @app.command(name="list-monthly-measurements") def list_monthly_measurements(ctx: typer.Context) -> None: """List monthly measurements.""" diff --git a/arpav_ppcv/cliapp/climaticindicators.py b/arpav_ppcv/cliapp/climaticindicators.py new file mode 100644 index 00000000..85ec4a3a --- /dev/null +++ b/arpav_ppcv/cliapp/climaticindicators.py @@ -0,0 +1,32 @@ +import sqlmodel +import typer +from operator import attrgetter +from rich import print + +from . import schemas +from .. import database + +app = typer.Typer() + + +@app.command(name="list") +def list_climatic_indicators(ctx: typer.Context) -> None: + """List climatic indicators.""" + with sqlmodel.Session(ctx.obj["engine"]) as session: + all_indicators = list(database.collect_all_climatic_indicators(session)) + all_indicators.sort(key=attrgetter("sort_order")) + for db_climatic_indicator in all_indicators: + item = schemas.ClimaticIndicatorItem(**db_climatic_indicator.model_dump()) + print(item.identifier) + + +@app.command(name="get") +def get_climatic_indicator(ctx: typer.Context, identifier: str) -> None: + with sqlmodel.Session(ctx.obj["engine"]) as session: + if ( + db_climatic_indicator := database.get_climatic_indicator_by_identifier( + session, identifier + ) + ) is not None: + item = schemas.ClimaticIndicatorDetail(**db_climatic_indicator.model_dump()) + print(item) diff --git a/arpav_ppcv/cliapp/observations.py b/arpav_ppcv/cliapp/observations.py new file mode 100644 index 00000000..66c40fd4 --- /dev/null +++ b/arpav_ppcv/cliapp/observations.py @@ -0,0 +1,64 @@ +import sqlmodel +import typer +from operator import attrgetter +from rich import print + +from . import schemas +from .. import database + +stations_app = typer.Typer() +series_configurations_app = typer.Typer() + + +@stations_app.command(name="list") +def list_observation_stations(ctx: typer.Context) -> None: + """List observation stations.""" + with sqlmodel.Session(ctx.obj["engine"]) as session: + all_stations = list(database.collect_all_observation_stations(session)) + all_stations.sort(key=attrgetter("code")) + for db_station in all_stations: + item = schemas.ObservationStationItem(**db_station.model_dump()) + print(f"{item.code} - {item.name}") + + +@stations_app.command(name="get") +def get_observation_station(ctx: typer.Context, code: str) -> None: + with sqlmodel.Session(ctx.obj["engine"]) as session: + if ( + db_station := database.get_observation_station_by_code(session, code) + ) is not None: + item = schemas.ObservationStationDetail(**db_station.model_dump()) + print(item) + + +@series_configurations_app.command(name="list") +def list_observation_series_configurations(ctx: typer.Context) -> None: + """List observation series configurations.""" + with sqlmodel.Session(ctx.obj["engine"]) as session: + all_series_configurations = list( + database.collect_all_observation_series_configurations(session) + ) + for db_series_configuration in all_series_configurations: + item = schemas.ObservationSeriesConfigurationItem( + **db_series_configuration.model_dump() + ) + print(item.identifier) + + +@series_configurations_app.command(name="get") +def get_observation_series_configuration(ctx: typer.Context, identifier: str) -> None: + with sqlmodel.Session(ctx.obj["engine"]) as session: + if ( + db_series_configuration := ( + database.get_observation_series_configuration_by_identifier( + session, identifier + ) + ) + ) is not None: + item = schemas.ObservationSeriesConfigurationDetail( + **db_series_configuration.model_dump(exclude={"climatic_indicator_id"}), + climatic_indicator=schemas.ClimaticIndicatorItem( + **db_series_configuration.climatic_indicator.model_dump() + ), + ) + print(item) diff --git a/arpav_ppcv/cliapp/schemas.py b/arpav_ppcv/cliapp/schemas.py index d84d731a..a417ecde 100644 --- a/arpav_ppcv/cliapp/schemas.py +++ b/arpav_ppcv/cliapp/schemas.py @@ -1,15 +1,56 @@ -from ..schemas import observations +import pydantic +from ..schemas import ( + observations, + static, +) -class StationRead(observations.StationBase): - ... + +class ClimaticIndicatorItem(pydantic.BaseModel): + identifier: str + + +class ClimaticIndicatorDetail(pydantic.BaseModel): + identifier: str + name: str + measure_type: static.MeasureType + aggregation_period: static.AggregationPeriod + display_name_english: str + description_english: str + unit_english: str + palette: str + color_scale_min: float + color_scale_max: float + data_precision: float + + +class ObservationStationItem(pydantic.BaseModel): + code: str + name: str + + +class ObservationStationDetail(observations.StationBase): + code: str + name: str + + +class ObservationSeriesConfigurationItem(pydantic.BaseModel): + identifier: str + + +class ObservationSeriesConfigurationDetail(pydantic.BaseModel): + identifier: str + climatic_indicator: ClimaticIndicatorItem + indicator_internal_name: str + measurement_aggregation_type: static.MeasurementAggregationType + station_owners: list[static.ObservationStationOwner] -class StationCreate(observations.StationCreate): +class ObservationStationCreate(observations.StationCreate): ... -class StationUpdate(observations.StationUpdate): +class ObservationStationUpdate(observations.StationUpdate): ... diff --git a/arpav_ppcv/database.py b/arpav_ppcv/database.py index 4d978c8b..894bc900 100644 --- a/arpav_ppcv/database.py +++ b/arpav_ppcv/database.py @@ -172,521 +172,521 @@ def get_engine(settings: config.ArpavPpcvSettings, use_test_db: Optional[bool] = # return result -def create_station( - session: sqlmodel.Session, station_create: observations.StationCreate -) -> observations.Station: - """Create a new station.""" - geom = shapely.io.from_geojson(station_create.geom.model_dump_json()) - wkbelement = from_shape(geom) - db_station = observations.Station( - **station_create.model_dump(exclude={"geom"}), - geom=wkbelement, - ) - session.add(db_station) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - session.refresh(db_station) - return db_station - - -def create_many_stations( - session: sqlmodel.Session, - stations_to_create: Sequence[observations.StationCreate], -) -> list[observations.Station]: - """Create several stations.""" - db_records = [] - for station_create in stations_to_create: - geom = shapely.io.from_geojson(station_create.geom.model_dump_json()) - wkbelement = from_shape(geom) - db_station = observations.Station( - **station_create.model_dump(exclude={"geom"}), - geom=wkbelement, - ) - db_records.append(db_station) - session.add(db_station) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - for db_record in db_records: - session.refresh(db_record) - return db_records - - -def get_station( - session: sqlmodel.Session, station_id: uuid.UUID -) -> Optional[observations.Station]: - return session.get(observations.Station, station_id) - - -def get_station_by_code( - session: sqlmodel.Session, station_code: str -) -> Optional[observations.Station]: - """Get a station by its code. - - Since a station code is unique, it can be used to uniquely identify a station. - """ - return session.exec( - sqlmodel.select(observations.Station).where( - observations.Station.code == station_code - ) - ).first() - - -def update_station( - session: sqlmodel.Session, - db_station: observations.Station, - station_update: observations.StationUpdate, -) -> observations.Station: - """Update a station.""" - geom = from_shape(shapely.io.from_geojson(station_update.geom.model_dump_json())) - other_data = station_update.model_dump(exclude={"geom"}, exclude_unset=True) - data = {**other_data, "geom": geom} - for key, value in data.items(): - setattr(db_station, key, value) - session.add(db_station) - session.commit() - session.refresh(db_station) - return db_station - - -def delete_station(session: sqlmodel.Session, station_id: uuid.UUID) -> None: - """Delete a station.""" - db_station = get_station(session, station_id) - if db_station is not None: - session.delete(db_station) - session.commit() - else: - raise RuntimeError("Station not found") - - -def list_stations( - session: sqlmodel.Session, - *, - limit: int = 20, - offset: int = 0, - include_total: bool = False, - name_filter: Optional[str] = None, - polygon_intersection_filter: shapely.Polygon = None, - variable_id_filter: Optional[uuid.UUID] = None, - variable_aggregation_type: Optional[ - base.ObservationAggregationType - ] = base.ObservationAggregationType.SEASONAL, -) -> tuple[Sequence[observations.Station], Optional[int]]: - """List existing stations. - - The ``polygon_intersection_filter`` parameter is expected to be a polygon - geometry in the EPSG:4326 CRS. - """ - statement = sqlmodel.select(observations.Station).order_by( - observations.Station.code - ) - if name_filter is not None: - statement = _add_substring_filter( - statement, name_filter, observations.Station.name - ) - if polygon_intersection_filter is not None: - statement = statement.where( - func.ST_Intersects( - observations.Station.geom, - func.ST_GeomFromWKB( - shapely.io.to_wkb(polygon_intersection_filter), 4326 - ), - ) - ) - if all((variable_id_filter, variable_aggregation_type)): - if variable_aggregation_type == base.ObservationAggregationType.MONTHLY: - instance_class = observations.MonthlyMeasurement - elif variable_aggregation_type == base.ObservationAggregationType.SEASONAL: - instance_class = observations.SeasonalMeasurement - elif variable_aggregation_type == base.ObservationAggregationType.YEARLY: - instance_class = observations.YearlyMeasurement - else: - raise RuntimeError( - f"variable filtering for {variable_aggregation_type} is not supported" - ) - statement = ( - statement.join(instance_class) - .join(observations.Variable) - .where(observations.Variable.id == variable_id_filter) - .distinct() - ) - - else: - logger.warning( - "Did not perform variable filter as not all related parameters have been " - "provided" - ) - items = session.exec(statement.offset(offset).limit(limit)).all() - num_items = _get_total_num_records(session, statement) if include_total else None - return items, num_items - - -def collect_all_stations( - session: sqlmodel.Session, - polygon_intersection_filter: shapely.Polygon = None, -) -> Sequence[observations.Station]: - """Collect all stations. - - The ``polygon_intersetion_filter`` parameter is expected to be a polygon - geometry in the EPSG:4326 CRS. - """ - _, num_total = list_stations( - session, - limit=1, - include_total=True, - polygon_intersection_filter=polygon_intersection_filter, - ) - result, _ = list_stations( - session, - limit=num_total, - include_total=False, - polygon_intersection_filter=polygon_intersection_filter, - ) - return result - - -def create_monthly_measurement( - session: sqlmodel.Session, - monthly_measurement_create: observations.MonthlyMeasurementCreate, -) -> observations.MonthlyMeasurement: - """Create a new monthly measurement.""" - db_monthly_measurement = observations.MonthlyMeasurement( - **monthly_measurement_create.model_dump() - ) - session.add(db_monthly_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - session.refresh(db_monthly_measurement) - return db_monthly_measurement - - -def create_many_monthly_measurements( - session: sqlmodel.Session, - monthly_measurements_to_create: Sequence[observations.MonthlyMeasurementCreate], -) -> list[observations.MonthlyMeasurement]: - """Create several monthly measurements.""" - db_records = [] - for monthly_measurement_create in monthly_measurements_to_create: - db_monthly_measurement = observations.MonthlyMeasurement( - station_id=monthly_measurement_create.station_id, - variable_id=monthly_measurement_create.variable_id, - value=monthly_measurement_create.value, - date=monthly_measurement_create.date, - ) - db_records.append(db_monthly_measurement) - session.add(db_monthly_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - for db_record in db_records: - session.refresh(db_record) - return db_records - - -def get_monthly_measurement( - session: sqlmodel.Session, monthly_measurement_id: uuid.UUID -) -> Optional[observations.MonthlyMeasurement]: - return session.get(observations.MonthlyMeasurement, monthly_measurement_id) - - -def delete_monthly_measurement( - session: sqlmodel.Session, monthly_measurement_id: uuid.UUID -) -> None: - """Delete a monthly_measurement.""" - db_monthly_measurement = get_monthly_measurement(session, monthly_measurement_id) - if db_monthly_measurement is not None: - session.delete(db_monthly_measurement) - session.commit() - else: - raise RuntimeError("Monthly measurement not found") - - -def list_monthly_measurements( - session: sqlmodel.Session, - *, - limit: int = 20, - offset: int = 0, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, - month_filter: Optional[int] = None, - include_total: bool = False, -) -> tuple[Sequence[observations.MonthlyMeasurement], Optional[int]]: - """List existing monthly measurements.""" - statement = sqlmodel.select(observations.MonthlyMeasurement).order_by( - observations.MonthlyMeasurement.date - ) - if station_id_filter is not None: - statement = statement.where( - observations.MonthlyMeasurement.station_id == station_id_filter - ) - if climatic_indicator_id_filter is not None: - statement = statement.where( - observations.MonthlyMeasurement.climatic_indicator_id - == climatic_indicator_id_filter - ) - if month_filter is not None: - statement = statement.where( - sqlmodel.func.extract("MONTH", observations.MonthlyMeasurement.date) - == month_filter - ) - items = session.exec(statement.offset(offset).limit(limit)).all() - num_items = _get_total_num_records(session, statement) if include_total else None - return items, num_items - - -def collect_all_monthly_measurements( - session: sqlmodel.Session, - *, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, - month_filter: Optional[int] = None, -) -> Sequence[observations.MonthlyMeasurement]: - _, num_total = list_monthly_measurements( - session, - limit=1, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - month_filter=month_filter, - include_total=True, - ) - result, _ = list_monthly_measurements( - session, - limit=num_total, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - month_filter=month_filter, - include_total=False, - ) - return result - - -def create_seasonal_measurement( - session: sqlmodel.Session, - measurement_create: observations.SeasonalMeasurementCreate, -) -> observations.SeasonalMeasurement: - """Create a new seasonal measurement.""" - db_measurement = observations.SeasonalMeasurement(**measurement_create.model_dump()) - session.add(db_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - session.refresh(db_measurement) - return db_measurement - - -def create_many_seasonal_measurements( - session: sqlmodel.Session, - measurements_to_create: Sequence[observations.SeasonalMeasurementCreate], -) -> list[observations.SeasonalMeasurement]: - """Create several seasonal measurements.""" - db_records = [] - for measurement_create in measurements_to_create: - db_measurement = observations.SeasonalMeasurement( - **measurement_create.model_dump() - ) - db_records.append(db_measurement) - session.add(db_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - for db_record in db_records: - session.refresh(db_record) - return db_records - - -def get_seasonal_measurement( - session: sqlmodel.Session, measurement_id: uuid.UUID -) -> Optional[observations.SeasonalMeasurement]: - return session.get(observations.SeasonalMeasurement, measurement_id) - - -def delete_seasonal_measurement( - session: sqlmodel.Session, measurement_id: uuid.UUID -) -> None: - """Delete a seasonal measurement.""" - db_measurement = get_seasonal_measurement(session, measurement_id) - if db_measurement is not None: - session.delete(db_measurement) - session.commit() - else: - raise RuntimeError("Seasonal measurement not found") - - -def list_seasonal_measurements( - session: sqlmodel.Session, - *, - limit: int = 20, - offset: int = 0, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, - season_filter: Optional[base.Season] = None, - include_total: bool = False, -) -> tuple[Sequence[observations.SeasonalMeasurement], Optional[int]]: - """List existing seasonal measurements.""" - statement = sqlmodel.select(observations.SeasonalMeasurement).order_by( - observations.SeasonalMeasurement.year - ) - if station_id_filter is not None: - statement = statement.where( - observations.SeasonalMeasurement.station_id == station_id_filter - ) - if climatic_indicator_id_filter is not None: - statement = statement.where( - observations.SeasonalMeasurement.climatic_indicator_id - == climatic_indicator_id_filter - ) - if season_filter is not None: - statement = statement.where( - observations.SeasonalMeasurement.season == season_filter - ) - items = session.exec(statement.offset(offset).limit(limit)).all() - num_items = _get_total_num_records(session, statement) if include_total else None - return items, num_items - - -def collect_all_seasonal_measurements( - session: sqlmodel.Session, - *, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, - season_filter: Optional[base.Season] = None, -) -> Sequence[observations.SeasonalMeasurement]: - _, num_total = list_seasonal_measurements( - session, - limit=1, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - season_filter=season_filter, - include_total=True, - ) - result, _ = list_seasonal_measurements( - session, - limit=num_total, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - season_filter=season_filter, - include_total=False, - ) - return result - - -def create_yearly_measurement( - session: sqlmodel.Session, measurement_create: observations.YearlyMeasurementCreate -) -> observations.YearlyMeasurement: - """Create a new yearly measurement.""" - db_measurement = observations.YearlyMeasurement(**measurement_create.model_dump()) - session.add(db_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - session.refresh(db_measurement) - return db_measurement - - -def create_many_yearly_measurements( - session: sqlmodel.Session, - measurements_to_create: Sequence[observations.YearlyMeasurementCreate], -) -> list[observations.YearlyMeasurement]: - """Create several yearly measurements.""" - db_records = [] - for measurement_create in measurements_to_create: - db_measurement = observations.YearlyMeasurement( - **measurement_create.model_dump() - ) - db_records.append(db_measurement) - session.add(db_measurement) - try: - session.commit() - except sqlalchemy.exc.DBAPIError: - raise - else: - for db_record in db_records: - session.refresh(db_record) - return db_records - - -def get_yearly_measurement( - session: sqlmodel.Session, measurement_id: uuid.UUID -) -> Optional[observations.YearlyMeasurement]: - return session.get(observations.YearlyMeasurement, measurement_id) - - -def delete_yearly_measurement( - session: sqlmodel.Session, measurement_id: uuid.UUID -) -> None: - """Delete a yearly measurement.""" - db_measurement = get_yearly_measurement(session, measurement_id) - if db_measurement is not None: - session.delete(db_measurement) - session.commit() - else: - raise RuntimeError("Yearly measurement not found") - - -def list_yearly_measurements( - session: sqlmodel.Session, - *, - limit: int = 20, - offset: int = 0, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, - include_total: bool = False, -) -> tuple[Sequence[observations.YearlyMeasurement], Optional[int]]: - """List existing yearly measurements.""" - statement = sqlmodel.select(observations.YearlyMeasurement).order_by( - observations.YearlyMeasurement.year - ) - if station_id_filter is not None: - statement = statement.where( - observations.YearlyMeasurement.station_id == station_id_filter - ) - if climatic_indicator_id_filter is not None: - statement = statement.where( - observations.YearlyMeasurement.climatic_indicator_id - == climatic_indicator_id_filter - ) - items = session.exec(statement.offset(offset).limit(limit)).all() - num_items = _get_total_num_records(session, statement) if include_total else None - return items, num_items +# def create_station( +# session: sqlmodel.Session, station_create: observations.StationCreate +# ) -> observations.Station: +# """Create a new station.""" +# geom = shapely.io.from_geojson(station_create.geom.model_dump_json()) +# wkbelement = from_shape(geom) +# db_station = observations.Station( +# **station_create.model_dump(exclude={"geom"}), +# geom=wkbelement, +# ) +# session.add(db_station) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# session.refresh(db_station) +# return db_station +# +# +# def create_many_stations( +# session: sqlmodel.Session, +# stations_to_create: Sequence[observations.StationCreate], +# ) -> list[observations.Station]: +# """Create several stations.""" +# db_records = [] +# for station_create in stations_to_create: +# geom = shapely.io.from_geojson(station_create.geom.model_dump_json()) +# wkbelement = from_shape(geom) +# db_station = observations.Station( +# **station_create.model_dump(exclude={"geom"}), +# geom=wkbelement, +# ) +# db_records.append(db_station) +# session.add(db_station) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# for db_record in db_records: +# session.refresh(db_record) +# return db_records +# +# +# def get_station( +# session: sqlmodel.Session, station_id: uuid.UUID +# ) -> Optional[observations.Station]: +# return session.get(observations.Station, station_id) +# +# +# def get_station_by_code( +# session: sqlmodel.Session, station_code: str +# ) -> Optional[observations.Station]: +# """Get a station by its code. +# +# Since a station code is unique, it can be used to uniquely identify a station. +# """ +# return session.exec( +# sqlmodel.select(observations.Station).where( +# observations.Station.code == station_code +# ) +# ).first() +# +# +# def update_station( +# session: sqlmodel.Session, +# db_station: observations.Station, +# station_update: observations.StationUpdate, +# ) -> observations.Station: +# """Update a station.""" +# geom = from_shape(shapely.io.from_geojson(station_update.geom.model_dump_json())) +# other_data = station_update.model_dump(exclude={"geom"}, exclude_unset=True) +# data = {**other_data, "geom": geom} +# for key, value in data.items(): +# setattr(db_station, key, value) +# session.add(db_station) +# session.commit() +# session.refresh(db_station) +# return db_station +# +# +# def delete_station(session: sqlmodel.Session, station_id: uuid.UUID) -> None: +# """Delete a station.""" +# db_station = get_station(session, station_id) +# if db_station is not None: +# session.delete(db_station) +# session.commit() +# else: +# raise RuntimeError("Station not found") +# +# +# def list_stations( +# session: sqlmodel.Session, +# *, +# limit: int = 20, +# offset: int = 0, +# include_total: bool = False, +# name_filter: Optional[str] = None, +# polygon_intersection_filter: shapely.Polygon = None, +# variable_id_filter: Optional[uuid.UUID] = None, +# variable_aggregation_type: Optional[ +# base.ObservationAggregationType +# ] = base.ObservationAggregationType.SEASONAL, +# ) -> tuple[Sequence[observations.Station], Optional[int]]: +# """List existing stations. +# +# The ``polygon_intersection_filter`` parameter is expected to be a polygon +# geometry in the EPSG:4326 CRS. +# """ +# statement = sqlmodel.select(observations.Station).order_by( +# observations.Station.code +# ) +# if name_filter is not None: +# statement = _add_substring_filter( +# statement, name_filter, observations.Station.name +# ) +# if polygon_intersection_filter is not None: +# statement = statement.where( +# func.ST_Intersects( +# observations.Station.geom, +# func.ST_GeomFromWKB( +# shapely.io.to_wkb(polygon_intersection_filter), 4326 +# ), +# ) +# ) +# if all((variable_id_filter, variable_aggregation_type)): +# if variable_aggregation_type == base.ObservationAggregationType.MONTHLY: +# instance_class = observations.MonthlyMeasurement +# elif variable_aggregation_type == base.ObservationAggregationType.SEASONAL: +# instance_class = observations.SeasonalMeasurement +# elif variable_aggregation_type == base.ObservationAggregationType.YEARLY: +# instance_class = observations.YearlyMeasurement +# else: +# raise RuntimeError( +# f"variable filtering for {variable_aggregation_type} is not supported" +# ) +# statement = ( +# statement.join(instance_class) +# .join(observations.Variable) +# .where(observations.Variable.id == variable_id_filter) +# .distinct() +# ) +# +# else: +# logger.warning( +# "Did not perform variable filter as not all related parameters have been " +# "provided" +# ) +# items = session.exec(statement.offset(offset).limit(limit)).all() +# num_items = _get_total_num_records(session, statement) if include_total else None +# return items, num_items +# +# +# def collect_all_stations( +# session: sqlmodel.Session, +# polygon_intersection_filter: shapely.Polygon = None, +# ) -> Sequence[observations.Station]: +# """Collect all stations. +# +# The ``polygon_intersetion_filter`` parameter is expected to be a polygon +# geometry in the EPSG:4326 CRS. +# """ +# _, num_total = list_stations( +# session, +# limit=1, +# include_total=True, +# polygon_intersection_filter=polygon_intersection_filter, +# ) +# result, _ = list_stations( +# session, +# limit=num_total, +# include_total=False, +# polygon_intersection_filter=polygon_intersection_filter, +# ) +# return result -def collect_all_yearly_measurements( - session: sqlmodel.Session, - *, - station_id_filter: Optional[uuid.UUID] = None, - climatic_indicator_id_filter: Optional[int] = None, -) -> Sequence[observations.YearlyMeasurement]: - _, num_total = list_yearly_measurements( - session, - limit=1, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - include_total=True, - ) - result, _ = list_yearly_measurements( - session, - limit=num_total, - station_id_filter=station_id_filter, - climatic_indicator_id_filter=climatic_indicator_id_filter, - include_total=False, - ) - return result +# def create_monthly_measurement( +# session: sqlmodel.Session, +# monthly_measurement_create: observations.MonthlyMeasurementCreate, +# ) -> observations.MonthlyMeasurement: +# """Create a new monthly measurement.""" +# db_monthly_measurement = observations.MonthlyMeasurement( +# **monthly_measurement_create.model_dump() +# ) +# session.add(db_monthly_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# session.refresh(db_monthly_measurement) +# return db_monthly_measurement +# +# +# def create_many_monthly_measurements( +# session: sqlmodel.Session, +# monthly_measurements_to_create: Sequence[observations.MonthlyMeasurementCreate], +# ) -> list[observations.MonthlyMeasurement]: +# """Create several monthly measurements.""" +# db_records = [] +# for monthly_measurement_create in monthly_measurements_to_create: +# db_monthly_measurement = observations.MonthlyMeasurement( +# station_id=monthly_measurement_create.station_id, +# variable_id=monthly_measurement_create.variable_id, +# value=monthly_measurement_create.value, +# date=monthly_measurement_create.date, +# ) +# db_records.append(db_monthly_measurement) +# session.add(db_monthly_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# for db_record in db_records: +# session.refresh(db_record) +# return db_records +# +# +# def get_monthly_measurement( +# session: sqlmodel.Session, monthly_measurement_id: uuid.UUID +# ) -> Optional[observations.MonthlyMeasurement]: +# return session.get(observations.MonthlyMeasurement, monthly_measurement_id) +# +# +# def delete_monthly_measurement( +# session: sqlmodel.Session, monthly_measurement_id: uuid.UUID +# ) -> None: +# """Delete a monthly_measurement.""" +# db_monthly_measurement = get_monthly_measurement(session, monthly_measurement_id) +# if db_monthly_measurement is not None: +# session.delete(db_monthly_measurement) +# session.commit() +# else: +# raise RuntimeError("Monthly measurement not found") +# +# +# def list_monthly_measurements( +# session: sqlmodel.Session, +# *, +# limit: int = 20, +# offset: int = 0, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# month_filter: Optional[int] = None, +# include_total: bool = False, +# ) -> tuple[Sequence[observations.MonthlyMeasurement], Optional[int]]: +# """List existing monthly measurements.""" +# statement = sqlmodel.select(observations.MonthlyMeasurement).order_by( +# observations.MonthlyMeasurement.date +# ) +# if station_id_filter is not None: +# statement = statement.where( +# observations.MonthlyMeasurement.station_id == station_id_filter +# ) +# if climatic_indicator_id_filter is not None: +# statement = statement.where( +# observations.MonthlyMeasurement.climatic_indicator_id +# == climatic_indicator_id_filter +# ) +# if month_filter is not None: +# statement = statement.where( +# sqlmodel.func.extract("MONTH", observations.MonthlyMeasurement.date) +# == month_filter +# ) +# items = session.exec(statement.offset(offset).limit(limit)).all() +# num_items = _get_total_num_records(session, statement) if include_total else None +# return items, num_items +# +# +# def collect_all_monthly_measurements( +# session: sqlmodel.Session, +# *, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# month_filter: Optional[int] = None, +# ) -> Sequence[observations.MonthlyMeasurement]: +# _, num_total = list_monthly_measurements( +# session, +# limit=1, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# month_filter=month_filter, +# include_total=True, +# ) +# result, _ = list_monthly_measurements( +# session, +# limit=num_total, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# month_filter=month_filter, +# include_total=False, +# ) +# return result +# +# +# def create_seasonal_measurement( +# session: sqlmodel.Session, +# measurement_create: observations.SeasonalMeasurementCreate, +# ) -> observations.SeasonalMeasurement: +# """Create a new seasonal measurement.""" +# db_measurement = observations.SeasonalMeasurement(**measurement_create.model_dump()) +# session.add(db_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# session.refresh(db_measurement) +# return db_measurement +# +# +# def create_many_seasonal_measurements( +# session: sqlmodel.Session, +# measurements_to_create: Sequence[observations.SeasonalMeasurementCreate], +# ) -> list[observations.SeasonalMeasurement]: +# """Create several seasonal measurements.""" +# db_records = [] +# for measurement_create in measurements_to_create: +# db_measurement = observations.SeasonalMeasurement( +# **measurement_create.model_dump() +# ) +# db_records.append(db_measurement) +# session.add(db_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# for db_record in db_records: +# session.refresh(db_record) +# return db_records +# +# +# def get_seasonal_measurement( +# session: sqlmodel.Session, measurement_id: uuid.UUID +# ) -> Optional[observations.SeasonalMeasurement]: +# return session.get(observations.SeasonalMeasurement, measurement_id) +# +# +# def delete_seasonal_measurement( +# session: sqlmodel.Session, measurement_id: uuid.UUID +# ) -> None: +# """Delete a seasonal measurement.""" +# db_measurement = get_seasonal_measurement(session, measurement_id) +# if db_measurement is not None: +# session.delete(db_measurement) +# session.commit() +# else: +# raise RuntimeError("Seasonal measurement not found") +# +# +# def list_seasonal_measurements( +# session: sqlmodel.Session, +# *, +# limit: int = 20, +# offset: int = 0, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# season_filter: Optional[base.Season] = None, +# include_total: bool = False, +# ) -> tuple[Sequence[observations.SeasonalMeasurement], Optional[int]]: +# """List existing seasonal measurements.""" +# statement = sqlmodel.select(observations.SeasonalMeasurement).order_by( +# observations.SeasonalMeasurement.year +# ) +# if station_id_filter is not None: +# statement = statement.where( +# observations.SeasonalMeasurement.station_id == station_id_filter +# ) +# if climatic_indicator_id_filter is not None: +# statement = statement.where( +# observations.SeasonalMeasurement.climatic_indicator_id +# == climatic_indicator_id_filter +# ) +# if season_filter is not None: +# statement = statement.where( +# observations.SeasonalMeasurement.season == season_filter +# ) +# items = session.exec(statement.offset(offset).limit(limit)).all() +# num_items = _get_total_num_records(session, statement) if include_total else None +# return items, num_items +# +# +# def collect_all_seasonal_measurements( +# session: sqlmodel.Session, +# *, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# season_filter: Optional[base.Season] = None, +# ) -> Sequence[observations.SeasonalMeasurement]: +# _, num_total = list_seasonal_measurements( +# session, +# limit=1, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# season_filter=season_filter, +# include_total=True, +# ) +# result, _ = list_seasonal_measurements( +# session, +# limit=num_total, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# season_filter=season_filter, +# include_total=False, +# ) +# return result +# +# +# def create_yearly_measurement( +# session: sqlmodel.Session, measurement_create: observations.YearlyMeasurementCreate +# ) -> observations.YearlyMeasurement: +# """Create a new yearly measurement.""" +# db_measurement = observations.YearlyMeasurement(**measurement_create.model_dump()) +# session.add(db_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# session.refresh(db_measurement) +# return db_measurement +# +# +# def create_many_yearly_measurements( +# session: sqlmodel.Session, +# measurements_to_create: Sequence[observations.YearlyMeasurementCreate], +# ) -> list[observations.YearlyMeasurement]: +# """Create several yearly measurements.""" +# db_records = [] +# for measurement_create in measurements_to_create: +# db_measurement = observations.YearlyMeasurement( +# **measurement_create.model_dump() +# ) +# db_records.append(db_measurement) +# session.add(db_measurement) +# try: +# session.commit() +# except sqlalchemy.exc.DBAPIError: +# raise +# else: +# for db_record in db_records: +# session.refresh(db_record) +# return db_records +# +# +# def get_yearly_measurement( +# session: sqlmodel.Session, measurement_id: uuid.UUID +# ) -> Optional[observations.YearlyMeasurement]: +# return session.get(observations.YearlyMeasurement, measurement_id) +# +# +# def delete_yearly_measurement( +# session: sqlmodel.Session, measurement_id: uuid.UUID +# ) -> None: +# """Delete a yearly measurement.""" +# db_measurement = get_yearly_measurement(session, measurement_id) +# if db_measurement is not None: +# session.delete(db_measurement) +# session.commit() +# else: +# raise RuntimeError("Yearly measurement not found") +# +# +# def list_yearly_measurements( +# session: sqlmodel.Session, +# *, +# limit: int = 20, +# offset: int = 0, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# include_total: bool = False, +# ) -> tuple[Sequence[observations.YearlyMeasurement], Optional[int]]: +# """List existing yearly measurements.""" +# statement = sqlmodel.select(observations.YearlyMeasurement).order_by( +# observations.YearlyMeasurement.year +# ) +# if station_id_filter is not None: +# statement = statement.where( +# observations.YearlyMeasurement.station_id == station_id_filter +# ) +# if climatic_indicator_id_filter is not None: +# statement = statement.where( +# observations.YearlyMeasurement.climatic_indicator_id +# == climatic_indicator_id_filter +# ) +# items = session.exec(statement.offset(offset).limit(limit)).all() +# num_items = _get_total_num_records(session, statement) if include_total else None +# return items, num_items +# +# +# def collect_all_yearly_measurements( +# session: sqlmodel.Session, +# *, +# station_id_filter: Optional[uuid.UUID] = None, +# climatic_indicator_id_filter: Optional[int] = None, +# ) -> Sequence[observations.YearlyMeasurement]: +# _, num_total = list_yearly_measurements( +# session, +# limit=1, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# include_total=True, +# ) +# result, _ = list_yearly_measurements( +# session, +# limit=num_total, +# station_id_filter=station_id_filter, +# climatic_indicator_id_filter=climatic_indicator_id_filter, +# include_total=False, +# ) +# return result def get_configuration_parameter_value( @@ -1709,3 +1709,397 @@ def _replace_conf_param_filters_with_climatic_indicator( if climatic_indicator is not None: result = (new_possible_values, climatic_indicator) return result + + +def get_observation_station( + session: sqlmodel.Session, observation_station_id: int +) -> Optional[observations.ObservationStation]: + return session.get(observations.ObservationStation, observation_station_id) + + +def get_observation_station_by_code( + session: sqlmodel.Session, observation_station_code: str +) -> Optional[observations.ObservationStation]: + """Get an observation station by its code. + + Since a station code is unique, it can be used to uniquely identify a station. + """ + return session.exec( + sqlmodel.select(observations.ObservationStation).where( + observations.ObservationStation.code == observation_station_code + ) + ).first() + + +def list_observation_stations( + session: sqlmodel.Session, + *, + limit: int = 20, + offset: int = 0, + include_total: bool = False, + name_filter: Optional[str] = None, + polygon_intersection_filter: shapely.Polygon = None, +) -> tuple[Sequence[observations.Station], Optional[int]]: + """List existing observation stations. + + The ``polygon_intersection_filter`` parameter is expected to be a polygon + geometry in the EPSG:4326 CRS. + """ + statement = sqlmodel.select(observations.ObservationStation).order_by( + observations.ObservationStation.code + ) + if name_filter is not None: + statement = _add_substring_filter( + statement, name_filter, observations.ObservationStation.name + ) + if polygon_intersection_filter is not None: + statement = statement.where( + func.ST_Intersects( + observations.ObservationStation.geom, + func.ST_GeomFromWKB( + shapely.io.to_wkb(polygon_intersection_filter), 4326 + ), + ) + ) + items = session.exec(statement.offset(offset).limit(limit)).all() + num_items = _get_total_num_records(session, statement) if include_total else None + return items, num_items + + +def collect_all_observation_stations( + session: sqlmodel.Session, + polygon_intersection_filter: shapely.Polygon = None, +) -> Sequence[observations.Station]: + """Collect all observation stations. + + The ``polygon_intersetion_filter`` parameter is expected to be a polygon + geometry in the EPSG:4326 CRS. + """ + _, num_total = list_observation_stations( + session, + limit=1, + include_total=True, + polygon_intersection_filter=polygon_intersection_filter, + ) + result, _ = list_observation_stations( + session, + limit=num_total, + include_total=False, + polygon_intersection_filter=polygon_intersection_filter, + ) + return result + + +def create_observation_station( + session: sqlmodel.Session, + observation_station_create: observations.ObservationStationCreate, +) -> observations.ObservationStation: + """Create a new observation station.""" + geom = shapely.io.from_geojson(observation_station_create.geom.model_dump_json()) + wkbelement = from_shape(geom) + db_item = observations.ObservationStation( + **observation_station_create.model_dump(exclude={"geom"}), + geom=wkbelement, + ) + session.add(db_item) + try: + session.commit() + except sqlalchemy.exc.DBAPIError: + raise + else: + session.refresh(db_item) + return db_item + + +def create_many_observation_stations( + session: sqlmodel.Session, + stations_to_create: Sequence[observations.ObservationStationCreate], +) -> list[observations.ObservationStation]: + """Create several observation stations.""" + db_records = [] + for item_create in stations_to_create: + geom = shapely.io.from_geojson(item_create.geom.model_dump_json()) + wkbelement = from_shape(geom) + db_item = observations.ObservationStation( + **item_create.model_dump(exclude={"geom"}), + geom=wkbelement, + ) + db_records.append(db_item) + session.add(db_item) + try: + session.commit() + except sqlalchemy.exc.DBAPIError: + raise + else: + for db_record in db_records: + session.refresh(db_record) + return db_records + + +def update_observation_station( + session: sqlmodel.Session, + db_observation_station: observations.ObservationStation, + observation_station_update: observations.ObservationStationUpdate, +) -> observations.ObservationStation: + """Update an observation station.""" + geom = from_shape( + shapely.io.from_geojson(observation_station_update.geom.model_dump_json()) + ) + other_data = observation_station_update.model_dump( + exclude={"geom"}, exclude_unset=True + ) + data = {**other_data, "geom": geom} + for key, value in data.items(): + setattr(db_observation_station, key, value) + session.add(db_observation_station) + session.commit() + session.refresh(db_observation_station) + return db_observation_station + + +def delete_observation_station( + session: sqlmodel.Session, observation_station_id: int +) -> None: + """Delete an observation station.""" + db_item = get_observation_station(session, observation_station_id) + if db_item is not None: + session.delete(db_item) + session.commit() + else: + raise RuntimeError("Observation station not found") + + +def get_observation_measurement( + session: sqlmodel.Session, observation_measurement_id: int +) -> Optional[observations.ObservationMeasurement]: + return session.get(observations.ObservationMeasurement, observation_measurement_id) + + +def list_observation_measurements( + session: sqlmodel.Session, + *, + limit: int = 20, + offset: int = 0, + observation_station_id_filter: Optional[int] = None, + climatic_indicator_id_filter: Optional[int] = None, + include_total: bool = False, +) -> tuple[Sequence[observations.ObservationMeasurement], Optional[int]]: + """List existing observation measurements.""" + statement = sqlmodel.select(observations.ObservationMeasurement).order_by( + observations.ObservationMeasurement.date + ) + if observation_station_id_filter is not None: + statement = statement.where( + observations.ObservationMeasurement.observation_station_id + == observation_station_id_filter + ) + if climatic_indicator_id_filter is not None: + statement = statement.where( + observations.ObservationMeasurement.climatic_indicator_id + == climatic_indicator_id_filter + ) + items = session.exec(statement.offset(offset).limit(limit)).all() + num_items = _get_total_num_records(session, statement) if include_total else None + return items, num_items + + +def collect_all_observation_measurements( + session: sqlmodel.Session, + *, + observation_station_id_filter: Optional[int] = None, + climatic_indicator_id_filter: Optional[int] = None, +) -> Sequence[observations.ObservationMeasurement]: + _, num_total = list_observation_measurements( + session, + limit=1, + observation_station_id_filter=observation_station_id_filter, + climatic_indicator_id_filter=climatic_indicator_id_filter, + include_total=True, + ) + result, _ = list_observation_measurements( + session, + limit=num_total, + observation_station_id_filter=observation_station_id_filter, + climatic_indicator_id_filter=climatic_indicator_id_filter, + include_total=False, + ) + return result + + +def create_observation_measurement( + session: sqlmodel.Session, + observation_measurement_create: observations.ObservationMeasurementUpdate, +) -> observations.ObservationMeasurement: + """Create a new observation measurement.""" + db_measurement = observations.ObservationMeasurement( + **observation_measurement_create.model_dump() + ) + session.add(db_measurement) + try: + session.commit() + except sqlalchemy.exc.DBAPIError: + raise + else: + session.refresh(db_measurement) + return db_measurement + + +def create_many_observation_measurements( + session: sqlmodel.Session, + observation_measurements_to_create: Sequence[ + observations.ObservationMeasurementCreate + ], +) -> list[observations.ObservationMeasurement]: + """Create several observation measurements.""" + db_records = [] + for measurement_create in observation_measurements_to_create: + db_measurement = observations.ObservationMeasurement( + observation_station_id=measurement_create.observation_station_id, + climatic_indicator_id=measurement_create.climatic_indicator_id, + value=measurement_create.value, + date=measurement_create.date, + measurement_aggregation_type=measurement_create.measurement_aggregation_type, + ) + db_records.append(db_measurement) + session.add(db_measurement) + try: + session.commit() + except sqlalchemy.exc.DBAPIError: + raise + else: + for db_record in db_records: + session.refresh(db_record) + return db_records + + +def delete_observation_measurement( + session: sqlmodel.Session, observation_measurement_id: int +) -> None: + """Delete an observation measurement.""" + if ( + db_measurement := get_observation_measurement( + session, observation_measurement_id + ) + ) is not None: + session.delete(db_measurement) + session.commit() + else: + raise RuntimeError("Observation measurement not found") + + +def get_observation_series_configuration( + session: sqlmodel.Session, observation_series_configuration_id: int +) -> Optional[observations.ObservationSeriesConfiguration]: + return session.get( + observations.ObservationSeriesConfiguration, observation_series_configuration_id + ) + + +def get_observation_series_configuration_by_identifier( + session: sqlmodel.Session, identifier: str +) -> Optional[observations.ObservationSeriesConfiguration]: + try: + ( + climatic_indicator_identifier, + raw_owners, + raw_measurement_aggregation, + ) = identifier.split("_") + climatic_indicator = get_climatic_indicator_by_identifier( + session, climatic_indicator_identifier + ) + measurement_aggregation_type = static.MeasurementAggregationType( + raw_measurement_aggregation.upper() + ) + station_owners = [ + static.ObservationStationOwner(i.upper()) for i in raw_owners.split("-") + ] + except ValueError: + raise exceptions.InvalidObservationSeriesConfigurationIdentifierError() + else: + statement = sqlmodel.select(observations.ObservationSeriesConfiguration).where( + observations.ObservationSeriesConfiguration.climatic_indicator_id + == climatic_indicator.id, + observations.ObservationSeriesConfiguration.measurement_aggregation_type + == measurement_aggregation_type, + observations.ObservationSeriesConfiguration.station_owners + == station_owners, + ) + return session.exec(statement).first() + + +def list_observation_series_configurations( + session: sqlmodel.Session, + *, + limit: int = 20, + offset: int = 0, + include_total: bool = False, +) -> tuple[Sequence[observations.ObservationSeriesConfiguration], Optional[int]]: + """List existing observation series configurations.""" + statement = sqlmodel.select(observations.ObservationSeriesConfiguration).order_by( + observations.ObservationSeriesConfiguration.id + ) + items = session.exec(statement.offset(offset).limit(limit)).all() + num_items = _get_total_num_records(session, statement) if include_total else None + return items, num_items + + +def collect_all_observation_series_configurations( + session: sqlmodel.Session, +) -> Sequence[observations.ObservationSeriesConfiguration]: + """Collect all observation series configurations.""" + _, num_total = list_observation_series_configurations( + session, + limit=1, + include_total=True, + ) + result, _ = list_observation_series_configurations( + session, + limit=num_total, + include_total=False, + ) + return result + + +def create_observation_series_configuration( + session: sqlmodel.Session, + observation_series_configuration_create: observations.ObservationSeriesConfigurationCreate, +) -> observations.ObservationSeriesConfiguration: + """Create a new observation series configuration.""" + db_series_conf = observations.ObservationSeriesConfiguration( + **observation_series_configuration_create.model_dump(), + ) + session.add(db_series_conf) + try: + session.commit() + except sqlalchemy.exc.DBAPIError: + raise + else: + session.refresh(db_series_conf) + return db_series_conf + + +def update_observation_series_configuration( + session: sqlmodel.Session, + db_observation_series_configuration: observations.ObservationSeriesConfiguration, + observation_series_configuration_update: observations.ObservationSeriesConfigurationUpdate, +) -> observations.ObservationSeriesConfiguration: + """Update an observation series configuration.""" + data = observation_series_configuration_update.model_dump(exclude_unset=True) + for key, value in data.items(): + setattr(db_observation_series_configuration, key, value) + session.add(db_observation_series_configuration) + session.commit() + session.refresh(db_observation_series_configuration) + return db_observation_series_configuration + + +def delete_observation_series_configuration( + session: sqlmodel.Session, observation_series_configuration_id: int +) -> None: + """Delete an observation series configuration.""" + db_item = get_observation_station(session, observation_series_configuration_id) + if db_item is not None: + session.delete(db_item) + session.commit() + else: + raise RuntimeError("Observation series configuration not found") diff --git a/arpav_ppcv/exceptions.py b/arpav_ppcv/exceptions.py index 94c3e7b4..26234b2f 100644 --- a/arpav_ppcv/exceptions.py +++ b/arpav_ppcv/exceptions.py @@ -16,3 +16,7 @@ class InvalidClimaticIndicatorIdError(ArpavError): class InvalidClimaticIndicatorIdentifierError(ArpavError): ... + + +class InvalidObservationSeriesConfigurationIdentifierError(ArpavError): + ... diff --git a/arpav_ppcv/migrations/versions/8df4e65677d9_changed_names_of_station_owners.py b/arpav_ppcv/migrations/versions/8df4e65677d9_changed_names_of_station_owners.py new file mode 100644 index 00000000..2a2fda6b --- /dev/null +++ b/arpav_ppcv/migrations/versions/8df4e65677d9_changed_names_of_station_owners.py @@ -0,0 +1,35 @@ +"""changed names of station owners + +Revision ID: 8df4e65677d9 +Revises: 9c278ecdeb38 +Create Date: 2024-12-13 14:34:06.423950 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel +from alembic_postgresql_enum import TableReference + +# revision identifiers, used by Alembic. +revision: str = '8df4e65677d9' +down_revision: Union[str, None] = '9c278ecdeb38' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.sync_enum_values('public', 'observationstationowner', ['ARPAV', 'ARPAFVG'], + [TableReference(table_schema='public', table_name='observationstation', column_name='owner')], + enum_values_to_rename=[]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.sync_enum_values('public', 'observationstationowner', ['ARPA_V', 'ARPA_FVG'], + [TableReference(table_schema='public', table_name='observationstation', column_name='owner')], + enum_values_to_rename=[]) + # ### end Alembic commands ### diff --git a/arpav_ppcv/migrations/versions/9c278ecdeb38_added_observationstation.py b/arpav_ppcv/migrations/versions/9c278ecdeb38_added_observationstation.py new file mode 100644 index 00000000..89e5a429 --- /dev/null +++ b/arpav_ppcv/migrations/versions/9c278ecdeb38_added_observationstation.py @@ -0,0 +1,71 @@ +"""added observationstation + +Revision ID: 9c278ecdeb38 +Revises: 7b7412888496 +Create Date: 2024-12-13 13:07:38.511400 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel +from geoalchemy2 import Geometry +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = '9c278ecdeb38' +down_revision: Union[str, None] = '7b7412888496' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + sa.Enum('MONTHLY', 'SEASONAL', 'YEARLY', name='measurementaggregationtype').create(op.get_bind()) + sa.Enum('ARPA_V', 'ARPA_FVG', name='observationstationowner').create(op.get_bind()) + op.create_geospatial_table('observationstation', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('owner', postgresql.ENUM('ARPA_V', 'ARPA_FVG', name='observationstationowner', create_type=False), nullable=False), + sa.Column('geom', Geometry(geometry_type='POINT', srid=4326, spatial_index=False, from_text='ST_GeomFromEWKT', name='geometry'), nullable=True), + sa.Column('code', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('altitude_m', sa.Float(), nullable=True), + sa.Column('active_since', sa.Date(), nullable=True), + sa.Column('active_until', sa.Date(), nullable=True), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('code') + ) + op.create_geospatial_index('idx_observationstation_geom', 'observationstation', ['geom'], unique=False, postgresql_using='gist', postgresql_ops={}) + op.create_table('observationmeasurement', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('value', sa.Float(), nullable=False), + sa.Column('date', sa.Date(), nullable=False), + sa.Column('measurement_aggregation_type', postgresql.ENUM('MONTHLY', 'SEASONAL', 'YEARLY', name='measurementaggregationtype', create_type=False), nullable=False), + sa.Column('climatic_indicator_id', sa.Integer(), nullable=False), + sa.Column('observation_station_id', sa.Integer(), nullable=False), + sa.ForeignKeyConstraint(['climatic_indicator_id'], ['climaticindicator.id'], onupdate='CASCADE', ondelete='CASCADE'), + sa.ForeignKeyConstraint(['observation_station_id'], ['observationstation.id'], onupdate='CASCADE', ondelete='CASCADE'), + sa.PrimaryKeyConstraint('id') + ) + op.create_table('observationseriesconfiguration', + sa.Column('id', sa.Integer(), nullable=False), + sa.Column('climatic_indicator_id', sa.Integer(), nullable=True), + sa.Column('indicator_internal_name', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('measurement_aggregation_type', postgresql.ENUM('MONTHLY', 'SEASONAL', 'YEARLY', name='measurementaggregationtype', create_type=False), nullable=False), + sa.Column('station_owners', sa.ARRAY(sa.String()), nullable=True), + sa.ForeignKeyConstraint(['climatic_indicator_id'], ['climaticindicator.id'], ), + sa.PrimaryKeyConstraint('id') + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table('observationseriesconfiguration') + op.drop_table('observationmeasurement') + op.drop_geospatial_index('idx_observationstation_geom', table_name='observationstation', postgresql_using='gist', column_name='geom') + op.drop_geospatial_table('observationstation') + sa.Enum('ARPA_V', 'ARPA_FVG', name='observationstationowner').drop(op.get_bind()) + sa.Enum('MONTHLY', 'SEASONAL', 'YEARLY', name='measurementaggregationtype').drop(op.get_bind()) + # ### end Alembic commands ### diff --git a/arpav_ppcv/observations_harvester/cliapp.py b/arpav_ppcv/observations_harvester/cliapp.py index 66623e15..b2603f63 100644 --- a/arpav_ppcv/observations_harvester/cliapp.py +++ b/arpav_ppcv/observations_harvester/cliapp.py @@ -8,42 +8,19 @@ @app.command() def refresh_stations( - variable: Annotated[ + series_configuration_identifier: Annotated[ str, typer.Option( help=( - "Name of the variable to process. If not provided, all " - "variables are processed." - ) - ), - ] = None, - refresh_monthly: Annotated[ - bool, - typer.Option( - help=( - "Refresh stations that have monthly measurements for " - "the input month." - ) - ), - ] = True, - refresh_seasonal: Annotated[ - bool, - typer.Option( - help=( - "Refresh stations that have seasonal measurements for " - "the input season." - ) + "The observation series configuration identifier to process. If " + "not provided, all observation series configurations are " + "processed." + ), ), - ] = True, - refresh_yearly: Annotated[ - bool, typer.Option(help=("Refresh stations that have yearly measurements")) - ] = True, + ], ) -> None: observations_flows.refresh_stations( - variable_name=variable, - refresh_stations_with_monthly_data=refresh_monthly, - refresh_stations_with_seasonal_data=refresh_seasonal, - refresh_stations_with_yearly_data=refresh_yearly, + observation_series_configuration_identifier=series_configuration_identifier, ) @@ -111,16 +88,16 @@ def refresh_yearly_measurements( ), ), ] = None, - variable: Annotated[ + climatic_indicator: Annotated[ str, typer.Option( help=( - "Name of the variable to process. If not provided, all " - "variables are processed." + "Identifier of the climatic indicator to process. If not provided, all " + "climatic indicators are processed." ) ), ] = None, ) -> None: observations_flows.refresh_yearly_measurements( - station_code=station, variable_name=variable + station_code=station, climatic_indicator_identifier=climatic_indicator ) diff --git a/arpav_ppcv/observations_harvester/operations.py b/arpav_ppcv/observations_harvester/operations.py index 4a4c94f6..ed506395 100644 --- a/arpav_ppcv/observations_harvester/operations.py +++ b/arpav_ppcv/observations_harvester/operations.py @@ -14,34 +14,39 @@ import shapely import shapely.ops -from ..schemas import observations +from ..schemas import ( + observations, +) from ..schemas.climaticindicators import ClimaticIndicator +from ..schemas.static import ( + MeasurementAggregationType, + ObservationStationOwner, +) logger = logging.getLogger(__name__) def fetch_remote_stations( client: httpx.Client, - climatic_indicators: Sequence[ClimaticIndicator], - fetch_stations_with_months: bool, - fetch_stations_with_seasons: bool, - fetch_stations_with_yearly_measurements: bool, + series_configurations: Sequence[observations.ObservationSeriesConfiguration], ) -> Generator[dict, None, None]: station_url = ( "https://api.arpa.veneto.it/REST/v1/clima_indicatori/staz_attive_lunghe" ) - for climatic_indicator in climatic_indicators: + for series_conf in series_configurations: logger.info( - f"Retrieving stations with monthly measurements for climatic indicator " - f"{climatic_indicator.identifier!r}..." + f"Retrieving stations belonging to series {series_conf.identifier!r}..." ) - if fetch_stations_with_months: + if ( + series_conf.measurement_aggregation_type + == MeasurementAggregationType.MONTHLY + ): for month in range(1, 13): logger.info(f"Processing month {month}...") month_response = client.get( station_url, params={ - "indicatore": climatic_indicator.name, + "indicatore": series_conf.indicator_internal_name, "tabella": "M", "periodo": str(month), }, @@ -49,13 +54,16 @@ def fetch_remote_stations( month_response.raise_for_status() for raw_station in month_response.json().get("data", []): yield raw_station - if fetch_stations_with_seasons: + elif ( + series_conf.measurement_aggregation_type + == MeasurementAggregationType.SEASONAL + ): for season in range(1, 5): logger.info(f"Processing season {season}...") season_response = client.get( station_url, params={ - "indicatore": climatic_indicator.name, + "indicatore": series_conf.indicator_internal_name, "tabella": "S", "periodo": str(season), }, @@ -63,12 +71,15 @@ def fetch_remote_stations( season_response.raise_for_status() for raw_station in season_response.json().get("data", []): yield raw_station - if fetch_stations_with_yearly_measurements: - logger.info("Processing year...") + elif ( + series_conf.measurement_aggregation_type + == MeasurementAggregationType.YEARLY + ): + logger.info("Processing years...") year_response = client.get( station_url, params={ - "indicatore": climatic_indicator.name, + "indicatore": series_conf.indicator_internal_name, "tabella": "A", "periodo": "0", }, @@ -76,11 +87,15 @@ def fetch_remote_stations( year_response.raise_for_status() for raw_station in year_response.json().get("data", []): yield raw_station + else: + raise NotImplementedError( + f"{series_conf.measurement_aggregation_type} not implemented" + ) def parse_station( raw_station: dict, coord_converter: Callable -) -> observations.StationCreate: +) -> observations.ObservationStationCreate: station_code = str(raw_station["statcd"]) if raw_start := raw_station.get("iniziovalidita"): try: @@ -102,12 +117,12 @@ def parse_station( active_until = None pt_4258 = shapely.Point(raw_station["EPSG4258_LON"], raw_station["EPSG4258_LAT"]) pt_4326 = shapely.ops.transform(coord_converter, pt_4258) - return observations.StationCreate( + return observations.ObservationStationCreate( code=station_code, geom=geojson_pydantic.Point(type="Point", coordinates=(pt_4326.x, pt_4326.y)), + owner=ObservationStationOwner.ARPAV, altitude_m=raw_station["altitude"], name=raw_station["statnm"], - type_=raw_station.get("stattype", "").lower().replace(" ", "_"), active_since=active_since, active_until=active_until, ) diff --git a/arpav_ppcv/prefect/flows/observations.py b/arpav_ppcv/prefect/flows/observations.py index 5ac411e1..6e2435e4 100644 --- a/arpav_ppcv/prefect/flows/observations.py +++ b/arpav_ppcv/prefect/flows/observations.py @@ -35,21 +35,15 @@ ) def harvest_stations( client: httpx.Client, - climatic_indicator: climaticindicators.ClimaticIndicator, - fetch_stations_with_months: bool, - fetch_stations_with_seasons: bool, - fetch_stations_with_yearly_measurements: bool, -) -> set[observations.StationCreate]: + series_configuration: observations.ObservationSeriesConfiguration, +) -> set[observations.ObservationStationCreate]: coord_converter = pyproj.Transformer.from_crs( pyproj.CRS("epsg:4258"), pyproj.CRS("epsg:4326"), always_xy=True ).transform stations = set() retriever = operations.fetch_remote_stations( client=client, - climatic_indicators=[climatic_indicator], - fetch_stations_with_months=fetch_stations_with_months, - fetch_stations_with_seasons=fetch_stations_with_seasons, - fetch_stations_with_yearly_measurements=fetch_stations_with_yearly_measurements, + series_configurations=[series_configuration], ) for raw_station in retriever: stations.add(operations.parse_station(raw_station, coord_converter)) @@ -61,9 +55,9 @@ def harvest_stations( retry_delay_seconds=settings.prefect.task_retry_delay_seconds, ) def find_new_stations( - db_stations: Sequence[observations.Station], - new_stations: Sequence[observations.StationCreate], -) -> list[observations.StationCreate]: + db_stations: Sequence[observations.ObservationStation], + new_stations: Sequence[observations.ObservationStationCreate], +) -> list[observations.ObservationStationCreate]: possibly_new_stations = {s.code: s for s in new_stations} existing_stations = {s.code: s for s in db_stations} to_create = [] @@ -95,63 +89,35 @@ def find_new_stations( retries=settings.prefect.num_flow_retries, retry_delay_seconds=settings.prefect.flow_retry_delay_seconds, ) -def refresh_stations( - climatic_indicator_identifier: str | None = None, - refresh_stations_with_monthly_data: bool = True, - refresh_stations_with_seasonal_data: bool = True, - refresh_stations_with_yearly_data: bool = True, -): +def refresh_stations(observation_series_configuration_identifier: str | None = None): client = httpx.Client() with sqlmodel.Session(db_engine) as db_session: - db_climatic_indicators = _get_climatic_indicators( - db_session, climatic_indicator_identifier + db_series_configurations = _get_observation_series_configurations( + db_session, observation_series_configuration_identifier ) - if len(db_climatic_indicators) > 0: + if len(db_series_configurations) > 0: to_filter_for_new_stations = set() to_wait_on = [] - for climatic_indicator in db_climatic_indicators: + for series_conf in db_series_configurations: print( - f"refreshing stations that have values for " - f"climatic indicator {climatic_indicator.identifier!r}..." + f"refreshing stations that are part of series " + f"{series_conf.identifier!r}..." ) - if refresh_stations_with_monthly_data: - monthly_future = harvest_stations.submit( - client, - climatic_indicator, - fetch_stations_with_months=True, - fetch_stations_with_seasons=False, - fetch_stations_with_yearly_measurements=False, - ) - to_wait_on.append(monthly_future) - if refresh_stations_with_seasonal_data: - seasonal_future = harvest_stations.submit( - client, - climatic_indicator, - fetch_stations_with_months=False, - fetch_stations_with_seasons=True, - fetch_stations_with_yearly_measurements=False, - ) - to_wait_on.append(seasonal_future) - if refresh_stations_with_yearly_data: - yearly_future = harvest_stations.submit( - client, - climatic_indicator, - fetch_stations_with_months=False, - fetch_stations_with_seasons=False, - fetch_stations_with_yearly_measurements=True, - ) - to_wait_on.append(yearly_future) + fut = harvest_stations.submit(client, series_conf) + to_wait_on.append(fut) for future in to_wait_on: to_filter_for_new_stations.update(future.result()) to_create = find_new_stations( - database.collect_all_stations(db_session), + database.collect_all_observation_stations(db_session), list(to_filter_for_new_stations), ) if len(to_create) > 0: print(f"Found {len(to_create)} new stations. Creating them now...") for s in to_create: print(f"- ({s.code}) {s.name}") - created = database.create_many_stations(db_session, to_create) + created = database.create_many_observation_stations( + db_session, to_create + ) else: created = [] print("No new stations found.") @@ -491,6 +457,20 @@ def _get_stations( return result +def _get_observation_series_configurations( + db_session: sqlmodel.Session, + observation_series_configuration_identifier: str | None = None, +) -> list[observations.ObservationSeriesConfiguration]: + if observation_series_configuration_identifier is not None: + series_conf = database.get_observation_series_configuration_by_identifier( + db_session, observation_series_configuration_identifier + ) + result = [series_conf] if series_conf else [] + else: + result = database.collect_all_observation_series_configurations(db_session) + return result + + def _get_climatic_indicators( db_session: sqlmodel.Session, climatic_indicator_identifier: str | None = None ) -> list[climaticindicators.ClimaticIndicator]: diff --git a/arpav_ppcv/schemas/climaticindicators.py b/arpav_ppcv/schemas/climaticindicators.py index 9c986365..8b9b9a26 100644 --- a/arpav_ppcv/schemas/climaticindicators.py +++ b/arpav_ppcv/schemas/climaticindicators.py @@ -16,6 +16,8 @@ if TYPE_CHECKING: from . import coverages from .observations import ( + ObservationMeasurement, + ObservationSeriesConfiguration, MonthlyMeasurement, SeasonalMeasurement, YearlyMeasurement, @@ -50,6 +52,23 @@ class ClimaticIndicator(sqlmodel.SQLModel, table=True): "coverages.CoverageConfiguration" ] = sqlmodel.Relationship(back_populates="climatic_indicator") + observation_series_configurations: list[ + "ObservationSeriesConfiguration" + ] = sqlmodel.Relationship(back_populates="climatic_indicator") + + measurements: list["ObservationMeasurement"] = sqlmodel.Relationship( + back_populates="climatic_indicator", + sa_relationship_kwargs={ + # ORM relationship config, which explicitly includes the + # `delete` and `delete-orphan` options because we want the ORM + # to try to delete monthly measurements when their related + # climatic_indicator is deleted + "cascade": "all, delete-orphan", + # expect that the RDBMS handles cascading deletes + "passive_deletes": True, + }, + ) + monthly_measurements: list["MonthlyMeasurement"] = sqlmodel.Relationship( back_populates="climatic_indicator", sa_relationship_kwargs={ diff --git a/arpav_ppcv/schemas/observations.py b/arpav_ppcv/schemas/observations.py index 4936100d..c91a6799 100644 --- a/arpav_ppcv/schemas/observations.py +++ b/arpav_ppcv/schemas/observations.py @@ -1,6 +1,7 @@ import datetime as dt import uuid from typing import ( + ClassVar, Optional, TYPE_CHECKING, ) @@ -11,8 +12,11 @@ import sqlalchemy import sqlmodel -from . import fields -from . import base +from . import ( + base, + fields, + static, +) if TYPE_CHECKING: from .climaticindicators import ClimaticIndicator @@ -31,6 +35,7 @@ def get_season(self, value: str): return result +# FIXME: Remove this for ObservationStation class StationBase(sqlmodel.SQLModel): model_config = pydantic.ConfigDict(arbitrary_types_allowed=True) @@ -49,6 +54,7 @@ class StationBase(sqlmodel.SQLModel): active_until: Optional[dt.date] = None +# FIXME: Replace this with ObservationStation class Station(StationBase, table=True): altitude_m: Optional[float] = sqlmodel.Field(default=None) name: str = "" @@ -125,6 +131,7 @@ def __hash__(self): return hash(self.id) +# FIXME: Replace this with ObservationStation class StationCreate(sqlmodel.SQLModel): code: str geom: geojson_pydantic.Point @@ -154,6 +161,7 @@ def __hash__(self): ) +# FIXME: Replace this with ObservationStation class StationUpdate(sqlmodel.SQLModel): code: Optional[str] = None geom: Optional[geojson_pydantic.Point] = None @@ -244,11 +252,13 @@ class StationUpdate(sqlmodel.SQLModel): # unit_italian: Optional[str] = None +# FIXME: Replace this with ObservationMeasurement class MonthlyMeasurementBase(sqlmodel.SQLModel): value: float date: dt.date +# FIXME: Replace this with ObservationMeasurement class MonthlyMeasurement(MonthlyMeasurementBase, table=True): __table_args__ = ( sqlalchemy.ForeignKeyConstraint( @@ -296,6 +306,7 @@ class MonthlyMeasurement(MonthlyMeasurementBase, table=True): ) +# FIXME: Replace this with ObservationMeasurement class MonthlyMeasurementCreate(sqlmodel.SQLModel): station_id: pydantic.UUID4 climatic_indicator_id: int @@ -303,11 +314,13 @@ class MonthlyMeasurementCreate(sqlmodel.SQLModel): date: dt.date +# FIXME: Replace this with ObservationMeasurement class MonthlyMeasurementUpdate(sqlmodel.SQLModel): value: Optional[float] = None date: Optional[dt.date] = None +# FIXME: Replace this with ObservationMeasurement class SeasonalMeasurement(sqlmodel.SQLModel, table=True): __table_args__ = ( sqlalchemy.ForeignKeyConstraint( @@ -358,6 +371,7 @@ class SeasonalMeasurement(sqlmodel.SQLModel, table=True): ) +# FIXME: Replace this with ObservationMeasurement class SeasonalMeasurementCreate(sqlmodel.SQLModel): station_id: pydantic.UUID4 climatic_indicator_id: int @@ -366,12 +380,14 @@ class SeasonalMeasurementCreate(sqlmodel.SQLModel): season: base.Season +# FIXME: Replace this with ObservationMeasurement class SeasonalMeasurementUpdate(sqlmodel.SQLModel): value: Optional[float] = None year: Optional[int] = None season: Optional[base.Season] = None +# FIXME: Replace this with ObservationMeasurement class YearlyMeasurement(sqlmodel.SQLModel, table=True): __table_args__ = ( sqlalchemy.ForeignKeyConstraint( @@ -421,6 +437,7 @@ class YearlyMeasurement(sqlmodel.SQLModel, table=True): ) +# FIXME: Replace this with ObservationMeasurement class YearlyMeasurementCreate(sqlmodel.SQLModel): station_id: pydantic.UUID4 climatic_indicator_id: int @@ -428,6 +445,227 @@ class YearlyMeasurementCreate(sqlmodel.SQLModel): year: int +# FIXME: Replace this with ObservationMeasurement class YearlyMeasurementUpdate(sqlmodel.SQLModel): value: Optional[float] = None year: Optional[int] = None + + +class ObservationStation(sqlmodel.SQLModel, table=True): + model_config = pydantic.ConfigDict(arbitrary_types_allowed=True) + identifier_pattern: ClassVar[str] = "{owner}-{code}" + + id: int | None = sqlmodel.Field(default=None, primary_key=True) + name: str = "" + owner: static.ObservationStationOwner + geom: fields.WkbElement = sqlmodel.Field( + sa_column=sqlalchemy.Column( + geoalchemy2.Geometry( + srid=4326, + geometry_type="POINT", + spatial_index=True, + ) + ) + ) + code: str = sqlmodel.Field(unique=True) + altitude_m: Optional[float] = sqlmodel.Field(default=None) + active_since: Optional[dt.date] = None + active_until: Optional[dt.date] = None + + measurements: list["ObservationMeasurement"] = sqlmodel.Relationship( + back_populates="observation_station", + sa_relationship_kwargs={ + # ORM relationship config, which explicitly includes the + # `delete` and `delete-orphan` options because we want the ORM + # to try to delete observation measurements when their related station + # is deleted + "cascade": "all, delete-orphan", + # expect that the RDBMS handles cascading deletes + "passive_deletes": True, + }, + ) + climatic_indicators: list["ClimaticIndicator"] = sqlmodel.Relationship( + sa_relationship_kwargs={ + "primaryjoin": ( + "and_(ObservationStation.id == ObservationMeasurement.observation_station_id, " + "ClimaticIndicator.id == ObservationMeasurement.climatic_indicator_id)" + ), + "secondary": "observationmeasurement", + "viewonly": True, + } + ) + + +class ObservationStationCreate(sqlmodel.SQLModel): + name: Optional[str] = "" + owner: static.ObservationStationOwner + geom: geojson_pydantic.Point + code: str + altitude_m: Optional[float] = None + active_since: Optional[dt.date] = None + active_until: Optional[dt.date] = None + + def __hash__(self): + return hash( + "".join( + ( + self.name, + self.owner, + self.geom.model_dump_json(), + self.code, + str(self.altitude_m) or "", + self.active_since.isoformat() + if self.active_since is not None + else "", + self.active_until.isoformat() + if self.active_until is not None + else "", + ) + ) + ) + + +class ObservationStationUpdate(sqlmodel.SQLModel): + name: Optional[str] = None + owner: Optional[static.ObservationStationOwner] = None + geom: Optional[geojson_pydantic.Point] = None + code: Optional[str] = None + altitude_m: Optional[float] = None + active_since: Optional[dt.date] = None + active_until: Optional[dt.date] = None + + +class ObservationMeasurement(sqlmodel.SQLModel, table=True): + __table_args__ = ( + sqlalchemy.ForeignKeyConstraint( + [ + "observation_station_id", + ], + [ + "observationstation.id", + ], + onupdate="CASCADE", + ondelete="CASCADE", # i.e. delete a measurement if its related station is deleted + ), + sqlalchemy.ForeignKeyConstraint( + [ + "climatic_indicator_id", + ], + [ + "climaticindicator.id", + ], + onupdate="CASCADE", + ondelete="CASCADE", # i.e. delete a measurement if its climatic_indicator station is deleted + ), + ) + id: int | None = sqlmodel.Field(default=None, primary_key=True) + value: float + date: dt.date + measurement_aggregation_type: static.MeasurementAggregationType + climatic_indicator_id: int + observation_station_id: int + + observation_station: ObservationStation = sqlmodel.Relationship( + back_populates="measurements", + sa_relationship_kwargs={ + # retrieve the related resource immediately, by means of a SQL JOIN - this + # is instead of the default lazy behavior of only retrieving related + # records when they are accessed by the ORM + "lazy": "joined", + }, + ) + climatic_indicator: "ClimaticIndicator" = sqlmodel.Relationship( + back_populates="measurements", + sa_relationship_kwargs={ + # retrieve the related resource immediately, by means of a SQL JOIN - this + # is instead of the default lazy behavior of only retrieving related + # records when they are accessed by the ORM + "lazy": "joined", + }, + ) + + +class ObservationMeasurementCreate(sqlmodel.SQLModel): + value: float + date: dt.date + measurement_aggregation_type: static.MeasurementAggregationType + observation_station_id: pydantic.UUID4 + climatic_indicator_id: int + + +class ObservationMeasurementUpdate(sqlmodel.SQLModel): + value: Optional[float] = None + date: Optional[dt.date] = None + measurement_aggregation_type: Optional[static.MeasurementAggregationType] = None + observation_station_id: Optional[pydantic.UUID4] = None + climatic_indicator_id: Optional[int] = None + + +class ObservationSeriesConfiguration(sqlmodel.SQLModel, table=True): + """Configuration for observation series.""" + + identifier_pattern: ClassVar[ + str + ] = "{climatic_indicator}_{station_owners}_{measurement_aggregation_type}" + + id: int | None = sqlmodel.Field(default=None, primary_key=True) + climatic_indicator_id: Optional[int] = sqlmodel.Field( + default=None, foreign_key="climaticindicator.id" + ) + indicator_internal_name: str + measurement_aggregation_type: static.MeasurementAggregationType + station_owners: list[static.ObservationStationOwner] = sqlmodel.Field( + default=list, sa_column=sqlalchemy.Column(sqlmodel.ARRAY(sqlmodel.String)) + ) + + climatic_indicator: "ClimaticIndicator" = sqlmodel.Relationship( + back_populates="observation_series_configurations" + ) + + @pydantic.computed_field + @property + def identifier(self) -> str: + return self.identifier_pattern.format( + climatic_indicator=self.climatic_indicator.identifier, + station_owners="-".join(self.station_owners), + measurement_aggregation_type=self.measurement_aggregation_type, + ) + + # # FIXME: implement this as operations instead + # def list_stations( + # self, + # owner: Optional[static.ObservationStationOwner] = None, + # limit: Optional[int] = 20, + # offset: Optional[int] = 0, + # ) -> list[ObservationStation]: + # ... + # + # # FIXME: implement this as operations instead + # def list_measurements( + # self, + # station: Optional[ObservationStation] = None, + # limit: Optional[int] = 20, + # offset: Optional[int] = 0, + # ) -> list[ObservationMeasurement]: + # ... + # + # # FIXME: implement this as operations instead + # def get_series( + # self, + # station: Optional[ObservationStation] = None, + # ) -> list[ObservationStationSeries]: + # ... + + +class ObservationSeriesConfigurationCreate(sqlmodel.SQLModel): + climatic_indicator_id: int + indicator_internal_name: str + measurement_aggregation_type: static.MeasurementAggregationType + station_owners: list[static.ObservationStationOwner] + + +class ObservationSeriesConfigurationUpdate(sqlmodel.SQLModel): + climatic_indicator_id: Optional[int] = None + indicator_internal_name: Optional[str] = None + measurement_aggregation_type: Optional[static.MeasurementAggregationType] = None + station_owners: Optional[list[static.ObservationStationOwner]] = None diff --git a/arpav_ppcv/schemas/static.py b/arpav_ppcv/schemas/static.py index 9c3002fc..393e7b9d 100644 --- a/arpav_ppcv/schemas/static.py +++ b/arpav_ppcv/schemas/static.py @@ -84,3 +84,85 @@ def get_sort_order(self) -> int: self.ANNUAL.name: 0, self.THIRTY_YEAR.name: 0, }[self.name] + + +class MeasurementAggregationType(str, enum.Enum): + MONTHLY = "MONTHLY" + SEASONAL = "SEASONAL" + YEARLY = "YEARLY" + + @staticmethod + def get_param_display_name(locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return _("measurement aggregation type") + + @staticmethod + def get_param_description(locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return _("measurement aggregation description") + + def get_value_display_name(self, locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return { + self.MONTHLY.name: _("monthly"), + self.SEASONAL.name: _("seasonal"), + self.YEARLY.name: _("yearly"), + }[self.name] or self.name + + def get_value_description(self, locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return { + self.MONTHLY.name: _("monthly description"), + self.SEASONAL.name: _("seasonal description"), + self.YEARLY.name: _("yearly description"), + }[self.name] or self.name + + def get_sort_order(self) -> int: + return { + self.MONTHLY.name: 0, + self.SEASONAL.name: 0, + self.YEARLY.name: 0, + }[self.name] + + +class ObservationStationOwner(str, enum.Enum): + ARPAV = "ARPAV" + ARPAFVG = "ARPAFVG" + + @staticmethod + def get_param_display_name(locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return _("observation station owner") + + @staticmethod + def get_param_description(locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return _("observation station owner description") + + def get_value_display_name(self, locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return { + self.ARPAV.name: _("ARPAV"), + self.ARPAFVG.name: _("ARPAFVG"), + }[self.name] or self.name + + def get_value_description(self, locale: babel.Locale) -> str: + translations = get_translations(locale) + _ = translations.gettext + return { + self.ARPAV.name: _("ARPAV description"), + self.ARPAFVG.name: _("ARPAFVG description"), + }[self.name] or self.name + + def get_sort_order(self) -> int: + return { + self.ARPAV.name: 0, + self.ARPAFVG.name: 0, + }[self.name] diff --git a/arpav_ppcv/webapp/admin/app.py b/arpav_ppcv/webapp/admin/app.py index 1f2ae044..4044ec94 100644 --- a/arpav_ppcv/webapp/admin/app.py +++ b/arpav_ppcv/webapp/admin/app.py @@ -72,6 +72,14 @@ def create_admin(settings: config.ArpavPpcvSettings) -> ArpavPpcvAdmin: coverage_views.CoverageConfigurationView(coverages.CoverageConfiguration) ) admin.add_view(observations_views.StationView(observations.Station)) + admin.add_view( + observations_views.ObservationStationView(observations.ObservationStation) + ) + admin.add_view( + observations_views.ObservationSeriesConfigurationView( + observations.ObservationSeriesConfiguration + ) + ) admin.add_view( DropDown( "Measurements", diff --git a/arpav_ppcv/webapp/admin/schemas.py b/arpav_ppcv/webapp/admin/schemas.py index 405e54f0..a6172c56 100644 --- a/arpav_ppcv/webapp/admin/schemas.py +++ b/arpav_ppcv/webapp/admin/schemas.py @@ -10,7 +10,9 @@ ) from ...schemas.static import ( AggregationPeriod, + ObservationStationOwner, MeasureType, + MeasurementAggregationType, ) @@ -117,6 +119,27 @@ class StationRead(sqlmodel.SQLModel): altitude_m: Optional[float] +class ObservationStationRead(sqlmodel.SQLModel): + id: int + name: str + owner: ObservationStationOwner + longitude: float + latitude: float + code: str + altitude_m: Optional[float] + active_since: Optional[dt.date] + active_until: Optional[dt.date] + + +class ObservationSeriesConfigurationRead(sqlmodel.SQLModel): + id: int + identifier: str + indicator_internal_name: str + measurement_aggregation_type: MeasurementAggregationType + station_owners: list[ObservationStationOwner] + climatic_indicator: int + + class MonthlyMeasurementRead(sqlmodel.SQLModel): station: str variable: str diff --git a/arpav_ppcv/webapp/admin/views/observations.py b/arpav_ppcv/webapp/admin/views/observations.py index d65d3a94..60cda9e1 100644 --- a/arpav_ppcv/webapp/admin/views/observations.py +++ b/arpav_ppcv/webapp/admin/views/observations.py @@ -16,10 +16,11 @@ from starlette_admin.contrib.sqlmodel import ModelView from starlette_admin.exceptions import FormValidationError -from .... import database as db +from .... import database from ....schemas import ( base, observations, + static, ) from .. import fields from .. import schemas as read_schemas @@ -72,7 +73,7 @@ async def find_all( order_by: Optional[list[str]] = None, ) -> Sequence[read_schemas.MonthlyMeasurementRead]: list_measurements = functools.partial( - db.list_monthly_measurements, + database.list_monthly_measurements, limit=limit, offset=skip, include_total=False, @@ -130,7 +131,7 @@ async def find_all( order_by: Optional[list[str]] = None, ) -> Sequence[read_schemas.SeasonalMeasurementRead]: list_measurements = functools.partial( - db.list_seasonal_measurements, + database.list_seasonal_measurements, limit=limit, offset=skip, include_total=False, @@ -187,7 +188,7 @@ async def find_all( order_by: Optional[list[str]] = None, ) -> Sequence[read_schemas.YearlyMeasurementRead]: list_measurements = functools.partial( - db.list_yearly_measurements, + database.list_yearly_measurements, limit=limit, offset=skip, include_total=False, @@ -286,7 +287,7 @@ async def create( **data, ) db_station = await anyio.to_thread.run_sync( - db.create_station, + database.create_station, request.state.session, station_create, ) @@ -312,10 +313,13 @@ async def edit( kwargs["type_"] = type_ station_update = observations.StationUpdate(**data, **kwargs) db_station = await anyio.to_thread.run_sync( - db.get_station, request.state.session, pk + database.get_station, request.state.session, pk ) db_station = await anyio.to_thread.run_sync( - db.update_station, request.state.session, db_station, station_update + database.update_station, + request.state.session, + db_station, + station_update, ) return self._serialize_instance(db_station) except Exception as e: @@ -324,7 +328,7 @@ async def edit( async def find_by_pk(self, request: Request, pk: Any) -> read_schemas.StationRead: db_station = await anyio.to_thread.run_sync( - db.get_station, request.state.session, pk + database.get_station, request.state.session, pk ) return self._serialize_instance(db_station) @@ -337,7 +341,7 @@ async def find_all( order_by: Optional[list[str]] = None, ) -> Sequence[read_schemas.StationRead]: list_stations = functools.partial( - db.list_stations, + database.list_stations, limit=limit, offset=skip, include_total=False, @@ -347,3 +351,237 @@ async def find_all( list_stations, request.state.session ) return [self._serialize_instance(db_station) for db_station in db_stations] + + +class ObservationStationView(ModelView): + identity = "observation_stations" + name = "Observation Station" + label = "Observation Stations" + icon = "fa fa-blog" + pk_attr = "id" + + exclude_fields_from_list = ("id",) + exclude_fields_from_detail = ("id",) + + fields = ( + fields.UuidField("id"), + starlette_admin.StringField("name", required=True), + starlette_admin.StringField("code", required=True), + starlette_admin.FloatField("longitude", required=True), + starlette_admin.FloatField("latitude", required=True), + starlette_admin.DateField("active_since"), + starlette_admin.DateField("active_until"), + starlette_admin.FloatField("altitude_m"), + ) + + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + self.icon = "fa-solid fa-tower-observation" + + @staticmethod + def _serialize_instance( + instance: observations.ObservationStation, + ) -> read_schemas.ObservationStationRead: + geom = shapely.io.from_wkb(bytes(instance.geom.data)) + return read_schemas.ObservationStationRead( + **instance.model_dump(exclude={"geom", "type_"}), + longitude=geom.x, + latitude=geom.y, + ) + + async def validate(self, request: Request, data: dict[str, Any]) -> None: + """Validate data without file fields relation fields""" + errors: dict[str, str] = {} + if (lat := data["latitude"]) < -90 or lat > 90: + errors["latitude"] = "Invalid value" + if (lon := data["longitude"]) < -180 or lon > 180: + errors["longitude"] = "Invalid longitude" + if len(errors) > 0: + raise FormValidationError(errors) + else: + data_to_validate = data.copy() + data_to_validate["geom"] = from_shape(shapely.Point(lon, lat)) + del data_to_validate["longitude"] + del data_to_validate["latitude"] + fields_to_exclude = [ + f.name + for f in self.get_fields_list(request, request.state.action) + if isinstance( + f, (starlette_admin.FileField, starlette_admin.RelationField) + ) + ] + ["latitude", "longitude"] + self.model.validate( + { + k: v + for k, v in data_to_validate.items() + if k not in fields_to_exclude + } + ) + + def can_create(self, request: Request) -> bool: + return False + + def can_edit(self, request: Request) -> bool: + return False + + async def find_by_pk(self, request: Request, pk: Any) -> read_schemas.StationRead: + db_station = await anyio.to_thread.run_sync( + database.get_observation_station, request.state.session, pk + ) + return self._serialize_instance(db_station) + + async def find_all( + self, + request: Request, + skip: int = 0, + limit: int = 100, + where: Union[dict[str, Any], str, None] = None, + order_by: Optional[list[str]] = None, + ) -> Sequence[read_schemas.ObservationStationRead]: + list_observation_stations = functools.partial( + database.list_observation_stations, + limit=limit, + offset=skip, + include_total=False, + name_filter=str(where) if where not in (None, "") else None, + ) + db_stations, _ = await anyio.to_thread.run_sync( + list_observation_stations, request.state.session + ) + return [self._serialize_instance(db_station) for db_station in db_stations] + + +class ObservationSeriesConfigurationView(ModelView): + identity = "observation_series_configurations" + name = "Observation Series Configuration" + label = "Observation Series Configurations" + icon = "fa fa-blog" + pk_attr = "id" + fields = ( + fields.UuidField("id"), + starlette_admin.StringField("identifier", read_only=True), + starlette_admin.StringField("indicator_internal_name", required=True), + starlette_admin.EnumField( + "measurement_aggregation_type", + enum=static.MeasurementAggregationType, + required=True, + ), + fields.RelatedClimaticIndicatorField( + "climatic_indicator", + help_text="Related climatic indicator", + required=True, + ), + starlette_admin.ListField( + starlette_admin.EnumField( + "station_owners", enum=static.ObservationStationOwner + ) + ), + ) + + exclude_fields_from_list = ( + "id", + "measurement_aggregation_type", + "climatic_indicator", + "station_owners", + ) + exclude_fields_from_edit = ("identifier",) + exclude_fields_from_create = ("identifier",) + + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + self.icon = "fa-solid fa-map" + + @staticmethod + def _serialize_instance( + instance: observations.ObservationSeriesConfiguration, + ) -> read_schemas.ObservationSeriesConfigurationRead: + return read_schemas.ObservationSeriesConfigurationRead( + **instance.model_dump( + exclude={ + "climatic_indicator_id", + }, + ), + climatic_indicator=instance.climatic_indicator_id, + ) + + async def find_by_pk( + self, request: Request, pk: Any + ) -> read_schemas.ObservationSeriesConfigurationRead: + db_instance = await anyio.to_thread.run_sync( + database.get_observation_series_configuration, request.state.session, pk + ) + return self._serialize_instance(db_instance) + + async def find_all( + self, + request: Request, + skip: int = 0, + limit: int = 100, + where: Union[dict[str, Any], str, None] = None, + order_by: Optional[list[str]] = None, + ) -> Sequence[read_schemas.ObservationSeriesConfigurationRead]: + item_lister = functools.partial( + database.list_observation_series_configurations, + limit=limit, + offset=skip, + include_total=False, + ) + db_items, _ = await anyio.to_thread.run_sync(item_lister, request.state.session) + result = [] + for db_item in db_items: + result.append(self._serialize_instance(db_item)) + return result + + async def create(self, request: Request, data: dict[str, Any]) -> Any: + session = request.state.session + try: + data = await self._arrange_data(request, data) + await self.validate(request, data) + logger.debug(f"{data=}") + # FIXME: looks like this needs to be called with anyio.to_thread.run_sync + climatic_indicator = await anyio.to_thread.run_sync( + database.get_climatic_indicator, + session, + data["climatic_indicator"], + ) + item_create = observations.ObservationSeriesConfigurationCreate( + climatic_indicator_id=climatic_indicator.id, + indicator_internal_name=data["indicator_internal_name"], + measurement_aggregation_type=data["measurement_aggregation_type"], + station_owners=data["station_owners"], + ) + db_item = await anyio.to_thread.run_sync( + database.create_observation_series_configuration, session, item_create + ) + return self._serialize_instance(db_item) + except Exception as e: + return self.handle_exception(e) + + async def edit(self, request: Request, pk: Any, data: dict[str, Any]) -> Any: + session = request.state.session + try: + data = await self._arrange_data(request, data, True) + await self.validate(request, data) + + # FIXME: call this via anyio.to_thread.run_sync + climatic_indicator = await anyio.to_thread.run_sync( + database.get_climatic_indicator, session, data["climatic_indicator"] + ) + item_update = observations.ObservationSeriesConfigurationUpdate( + climatic_indicator_id=climatic_indicator.id, + indicator_internal_name=data["indicator_internal_name"], + measurement_aggregation_type=data["measurement_aggregation_type"], + station_owners=data["station_owners"], + ) + db_item = await anyio.to_thread.run_sync( + database.get_observation_series_configuration, session, pk + ) + db_item = await anyio.to_thread.run_sync( + database.update_observation_series_configuration, + session, + db_item, + item_update, + ) + return self._serialize_instance(db_item) + except Exception as e: + self.handle_exception(e) diff --git a/arpav_ppcv/webapp/api_v2/routers/observations.py b/arpav_ppcv/webapp/api_v2/routers/observations.py index f3447c27..8de302c0 100644 --- a/arpav_ppcv/webapp/api_v2/routers/observations.py +++ b/arpav_ppcv/webapp/api_v2/routers/observations.py @@ -1,41 +1,25 @@ -import json import logging -import math from typing import ( Annotated, - Optional, ) -import fastapi -import pandas as pd -import pydantic from fastapi import ( APIRouter, Depends, Header, - Path, Request, - Query, ) from fastapi.encoders import jsonable_encoder from fastapi.responses import JSONResponse -from fastapi.exceptions import HTTPException from sqlmodel import Session from .... import ( database as db, - operations, ) from ...responses import GeoJsonResponse -from ....schemas import base from ... import dependencies from ..schemas import observations from ..schemas.geojson import observations as observations_geojson -from ..schemas.base import ( - TimeSeries, - TimeSeriesItem, - TimeSeriesList, -) logger = logging.getLogger(__name__) router = APIRouter() @@ -59,38 +43,24 @@ def list_stations( request: Request, db_session: Annotated[Session, Depends(dependencies.get_db_session)], list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], - variable_name: str | None = None, - temporal_aggregation: Annotated[ - base.ObservationAggregationType, Query() - ] = base.ObservationAggregationType.SEASONAL, accept: Annotated[str | None, Header()] = None, ): """List known stations.""" filter_kwargs = {} - if variable_name is not None: - if (db_var := db.get_variable_by_name(db_session, variable_name)) is not None: - filter_kwargs.update( - { - "variable_id_filter": db_var.id, - "variable_aggregation_type": temporal_aggregation, - } - ) - else: - raise HTTPException(status_code=400, detail="Invalid variable name") - stations, filtered_total = db.list_stations( + stations, filtered_total = db.list_observation_stations( db_session, limit=list_params.limit, offset=list_params.offset, include_total=True, **filter_kwargs, ) - _, unfiltered_total = db.list_stations( + _, unfiltered_total = db.list_observation_stations( db_session, limit=1, offset=0, include_total=True ) if accept == "application/json": result = JSONResponse( content=jsonable_encoder( - observations.StationList.from_items( + observations.ObservationStationList.from_items( stations, request, limit=list_params.limit, @@ -114,289 +84,291 @@ def list_stations( @router.get( "/stations/{station_id}", - response_model=observations.StationReadListItem, + response_model=observations.ObservationStationReadListItem, ) def get_station( request: Request, db_session: Annotated[Session, Depends(dependencies.get_db_session)], - station_id: pydantic.UUID4, -): - db_station = db.get_station(db_session, station_id) - return observations.StationReadListItem.from_db_instance(db_station, request) - - -@router.get("/monthly-measurements", response_model=observations.MonthlyMeasurementList) -def list_monthly_measurements( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], - station_code: str | None = None, - climatic_indicator_identifier: str | None = None, - month: Annotated[int | None, fastapi.Query(le=1, ge=12)] = None, + station_id: int, ): - """List known monthly measurements.""" - if station_code is not None: - db_station = db.get_station_by_code(db_session, station_code) - if db_station is not None: - station_id = db_station.id - else: - raise ValueError("Invalid station code") - else: - station_id = None - if climatic_indicator_identifier is not None: - db_climatic_indicator = db.get_climatic_indicator_by_identifier( - db_session, climatic_indicator_identifier - ) - if db_climatic_indicator is not None: - climatic_indicator_id = db_climatic_indicator.id - else: - raise ValueError("Invalid climatic indicator identifier") - else: - climatic_indicator_id = None - monthly_measurements, filtered_total = db.list_monthly_measurements( - db_session, - limit=list_params.limit, - offset=list_params.offset, - station_id_filter=station_id, - climatic_indicator_id_filter=climatic_indicator_id, - month_filter=month, - include_total=True, - ) - _, unfiltered_total = db.list_monthly_measurements( - db_session, limit=1, offset=0, include_total=True - ) - return observations.MonthlyMeasurementList.from_items( - monthly_measurements, - request, - limit=list_params.limit, - offset=list_params.offset, - filtered_total=filtered_total, - unfiltered_total=unfiltered_total, + db_station = db.get_observation_station(db_session, station_id) + return observations.ObservationStationReadListItem.from_db_instance( + db_station, request ) -@router.get( - "/monthly-measurements/{monthly_measurement_id}", - response_model=observations.MonthlyMeasurementReadListItem, -) -def get_monthly_measurement( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - monthly_measurement_id: pydantic.UUID4, -): - db_monthly_measurement = db.get_monthly_measurement( - db_session, monthly_measurement_id - ) - return observations.MonthlyMeasurementReadListItem.from_db_instance( - db_monthly_measurement, request - ) - - -@router.get( - "/seasonal-measurements", response_model=observations.SeasonalMeasurementList -) -def list_seasonal_measurements( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], - station_code: str | None = None, - variable_name: str | None = None, - season: base.Season | None = None, -): - """List known seasonal measurements.""" - if station_code is not None: - db_station = db.get_station_by_code(db_session, station_code) - if db_station is not None: - station_id = db_station.id - else: - raise ValueError("Invalid station code") - else: - station_id = None - if variable_name is not None: - db_variable = db.get_variable_by_name(db_session, variable_name) - if db_variable is not None: - variable_id = db_variable.id - else: - raise ValueError("Invalid variable name") - else: - variable_id = None - measurements, filtered_total = db.list_seasonal_measurements( - db_session, - limit=list_params.limit, - offset=list_params.offset, - station_id_filter=station_id, - variable_id_filter=variable_id, - season_filter=season, - include_total=True, - ) - _, unfiltered_total = db.list_seasonal_measurements( - db_session, limit=1, offset=0, include_total=True - ) - return observations.SeasonalMeasurementList.from_items( - measurements, - request, - limit=list_params.limit, - offset=list_params.offset, - filtered_total=filtered_total, - unfiltered_total=unfiltered_total, - ) - - -@router.get( - "/seasonal-measurements/{seasonal_measurement_id}", - response_model=observations.SeasonalMeasurementReadListItem, -) -def get_seasonal_measurement( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - seasonal_measurement_id: pydantic.UUID4, -): - db_measurement = db.get_seasonal_measurement(db_session, seasonal_measurement_id) - return observations.SeasonalMeasurementReadListItem.from_db_instance( - db_measurement, request - ) - - -@router.get("/yearly-measurements", response_model=observations.YearlyMeasurementList) -def list_yearly_measurements( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], - station_code: str | None = None, - variable_name: str | None = None, -): - """List known yearly measurements.""" - if station_code is not None: - db_station = db.get_station_by_code(db_session, station_code) - if db_station is not None: - station_id = db_station.id - else: - raise ValueError("Invalid station code") - else: - station_id = None - if variable_name is not None: - db_variable = db.get_variable_by_name(db_session, variable_name) - if db_variable is not None: - variable_id = db_variable.id - else: - raise ValueError("Invalid variable name") - else: - variable_id = None - measurements, filtered_total = db.list_yearly_measurements( - db_session, - limit=list_params.limit, - offset=list_params.offset, - station_id_filter=station_id, - variable_id_filter=variable_id, - include_total=True, - ) - _, unfiltered_total = db.list_yearly_measurements( - db_session, limit=1, offset=0, include_total=True - ) - return observations.YearlyMeasurementList.from_items( - measurements, - request, - limit=list_params.limit, - offset=list_params.offset, - filtered_total=filtered_total, - unfiltered_total=unfiltered_total, - ) - - -@router.get( - "/yearly-measurements/{yearly_measurement_id}", - response_model=observations.YearlyMeasurementReadListItem, -) -def get_yearly_measurement( - request: Request, - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - yearly_measurement_id: pydantic.UUID4, -): - db_measurement = db.get_yearly_measurement(db_session, yearly_measurement_id) - return observations.YearlyMeasurementReadListItem.from_db_instance( - db_measurement, request - ) - - -@router.get( - "/time-series/{station_code}/{variable_name}/{month}", response_model=TimeSeriesList -) -def get_time_series( - db_session: Annotated[Session, Depends(dependencies.get_db_session)], - station_code: str, - month: Annotated[int, Path(ge=1, le=12)], - variable_name: str, - datetime: Optional[str] = "../..", - smoothing: Annotated[list[base.ObservationDataSmoothingStrategy], Query()] = [ # noqa - base.ObservationDataSmoothingStrategy.NO_SMOOTHING - ], - include_decade_data: bool = False, - include_mann_kendall_trend: bool = False, - mann_kendall_start_year: Optional[int] = None, - mann_kendall_end_year: Optional[int] = None, -): - if (db_station := db.get_station_by_code(db_session, station_code)) is not None: - if ( - db_variable := db.get_variable_by_name(db_session, variable_name) - ) is not None: - if include_mann_kendall_trend: - try: - mann_kendall = base.MannKendallParameters( - start_year=mann_kendall_start_year, - end_year=mann_kendall_end_year, - ) - except pydantic.ValidationError as err: - error_dict = json.loads(err.json()) - raise HTTPException(status_code=400, detail=error_dict) - else: - mann_kendall = None - try: - observation_series = operations.get_observation_time_series( - session=db_session, - variable=db_variable, - station=db_station, - month=month, - temporal_range=datetime, - smoothing_strategies=smoothing, - include_decade_data=include_decade_data, - mann_kendall_parameters=mann_kendall, - ) - except ValueError as err: - raise HTTPException(status_code=400, detail=str(err)) - else: - series = [] - for obs_series_info, pd_series_stuff in observation_series.items(): - smoothing_strategy, derived_series = obs_series_info - pd_series, pd_series_info = pd_series_stuff - processed_series = TimeSeries.from_observation_series( - series=pd_series, - variable=db_variable, - smoothing_strategy=smoothing_strategy, - extra_info=pd_series_info, - derived_series=derived_series, - ) - series.append(processed_series) - return TimeSeriesList(series=series) - else: - raise HTTPException(status_code=400, detail="Invalid variable identifier") - else: - raise HTTPException(status_code=400, detail="Invalid station identifier") +# @router.get("/monthly-measurements", response_model=observations.MonthlyMeasurementList) +# def list_monthly_measurements( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], +# station_code: str | None = None, +# climatic_indicator_identifier: str | None = None, +# month: Annotated[int | None, fastapi.Query(le=1, ge=12)] = None, +# ): +# """List known monthly measurements.""" +# if station_code is not None: +# db_station = db.get_station_by_code(db_session, station_code) +# if db_station is not None: +# station_id = db_station.id +# else: +# raise ValueError("Invalid station code") +# else: +# station_id = None +# if climatic_indicator_identifier is not None: +# db_climatic_indicator = db.get_climatic_indicator_by_identifier( +# db_session, climatic_indicator_identifier +# ) +# if db_climatic_indicator is not None: +# climatic_indicator_id = db_climatic_indicator.id +# else: +# raise ValueError("Invalid climatic indicator identifier") +# else: +# climatic_indicator_id = None +# monthly_measurements, filtered_total = db.list_monthly_measurements( +# db_session, +# limit=list_params.limit, +# offset=list_params.offset, +# station_id_filter=station_id, +# climatic_indicator_id_filter=climatic_indicator_id, +# month_filter=month, +# include_total=True, +# ) +# _, unfiltered_total = db.list_monthly_measurements( +# db_session, limit=1, offset=0, include_total=True +# ) +# return observations.MonthlyMeasurementList.from_items( +# monthly_measurements, +# request, +# limit=list_params.limit, +# offset=list_params.offset, +# filtered_total=filtered_total, +# unfiltered_total=unfiltered_total, +# ) +# +# +# @router.get( +# "/monthly-measurements/{monthly_measurement_id}", +# response_model=observations.MonthlyMeasurementReadListItem, +# ) +# def get_monthly_measurement( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# monthly_measurement_id: pydantic.UUID4, +# ): +# db_monthly_measurement = db.get_monthly_measurement( +# db_session, monthly_measurement_id +# ) +# return observations.MonthlyMeasurementReadListItem.from_db_instance( +# db_monthly_measurement, request +# ) +# +# +# @router.get( +# "/seasonal-measurements", response_model=observations.SeasonalMeasurementList +# ) +# def list_seasonal_measurements( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], +# station_code: str | None = None, +# variable_name: str | None = None, +# season: base.Season | None = None, +# ): +# """List known seasonal measurements.""" +# if station_code is not None: +# db_station = db.get_station_by_code(db_session, station_code) +# if db_station is not None: +# station_id = db_station.id +# else: +# raise ValueError("Invalid station code") +# else: +# station_id = None +# if variable_name is not None: +# db_variable = db.get_variable_by_name(db_session, variable_name) +# if db_variable is not None: +# variable_id = db_variable.id +# else: +# raise ValueError("Invalid variable name") +# else: +# variable_id = None +# measurements, filtered_total = db.list_seasonal_measurements( +# db_session, +# limit=list_params.limit, +# offset=list_params.offset, +# station_id_filter=station_id, +# variable_id_filter=variable_id, +# season_filter=season, +# include_total=True, +# ) +# _, unfiltered_total = db.list_seasonal_measurements( +# db_session, limit=1, offset=0, include_total=True +# ) +# return observations.SeasonalMeasurementList.from_items( +# measurements, +# request, +# limit=list_params.limit, +# offset=list_params.offset, +# filtered_total=filtered_total, +# unfiltered_total=unfiltered_total, +# ) +# +# +# @router.get( +# "/seasonal-measurements/{seasonal_measurement_id}", +# response_model=observations.SeasonalMeasurementReadListItem, +# ) +# def get_seasonal_measurement( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# seasonal_measurement_id: pydantic.UUID4, +# ): +# db_measurement = db.get_seasonal_measurement(db_session, seasonal_measurement_id) +# return observations.SeasonalMeasurementReadListItem.from_db_instance( +# db_measurement, request +# ) +# +# +# @router.get("/yearly-measurements", response_model=observations.YearlyMeasurementList) +# def list_yearly_measurements( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# list_params: Annotated[dependencies.CommonListFilterParameters, Depends()], +# station_code: str | None = None, +# variable_name: str | None = None, +# ): +# """List known yearly measurements.""" +# if station_code is not None: +# db_station = db.get_station_by_code(db_session, station_code) +# if db_station is not None: +# station_id = db_station.id +# else: +# raise ValueError("Invalid station code") +# else: +# station_id = None +# if variable_name is not None: +# db_variable = db.get_variable_by_name(db_session, variable_name) +# if db_variable is not None: +# variable_id = db_variable.id +# else: +# raise ValueError("Invalid variable name") +# else: +# variable_id = None +# measurements, filtered_total = db.list_yearly_measurements( +# db_session, +# limit=list_params.limit, +# offset=list_params.offset, +# station_id_filter=station_id, +# variable_id_filter=variable_id, +# include_total=True, +# ) +# _, unfiltered_total = db.list_yearly_measurements( +# db_session, limit=1, offset=0, include_total=True +# ) +# return observations.YearlyMeasurementList.from_items( +# measurements, +# request, +# limit=list_params.limit, +# offset=list_params.offset, +# filtered_total=filtered_total, +# unfiltered_total=unfiltered_total, +# ) +# +# +# @router.get( +# "/yearly-measurements/{yearly_measurement_id}", +# response_model=observations.YearlyMeasurementReadListItem, +# ) +# def get_yearly_measurement( +# request: Request, +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# yearly_measurement_id: pydantic.UUID4, +# ): +# db_measurement = db.get_yearly_measurement(db_session, yearly_measurement_id) +# return observations.YearlyMeasurementReadListItem.from_db_instance( +# db_measurement, request +# ) -def _serialize_dataframe( - df: pd.DataFrame, - exclude_series_name_pattern: str | None = None, - info: dict[str, str] | None = None, -) -> list[TimeSeries]: - series = [] - for series_name, series_measurements in df.to_dict().items(): - if ( - exclude_series_name_pattern is None - or exclude_series_name_pattern not in series_name - ): - measurements = [] - for timestamp, value in series_measurements.items(): - if not math.isnan(value): - measurements.append(TimeSeriesItem(value=value, datetime=timestamp)) - series.append(TimeSeries(name=series_name, values=measurements, info=info)) - return series +# @router.get( +# "/time-series/{station_code}/{variable_name}/{month}", response_model=TimeSeriesList +# ) +# def get_time_series( +# db_session: Annotated[Session, Depends(dependencies.get_db_session)], +# station_code: str, +# month: Annotated[int, Path(ge=1, le=12)], +# variable_name: str, +# datetime: Optional[str] = "../..", +# smoothing: Annotated[list[base.ObservationDataSmoothingStrategy], Query()] = [ # noqa +# base.ObservationDataSmoothingStrategy.NO_SMOOTHING +# ], +# include_decade_data: bool = False, +# include_mann_kendall_trend: bool = False, +# mann_kendall_start_year: Optional[int] = None, +# mann_kendall_end_year: Optional[int] = None, +# ): +# if (db_station := db.get_station_by_code(db_session, station_code)) is not None: +# if ( +# db_variable := db.get_variable_by_name(db_session, variable_name) +# ) is not None: +# if include_mann_kendall_trend: +# try: +# mann_kendall = base.MannKendallParameters( +# start_year=mann_kendall_start_year, +# end_year=mann_kendall_end_year, +# ) +# except pydantic.ValidationError as err: +# error_dict = json.loads(err.json()) +# raise HTTPException(status_code=400, detail=error_dict) +# else: +# mann_kendall = None +# try: +# observation_series = operations.get_observation_time_series( +# session=db_session, +# variable=db_variable, +# station=db_station, +# month=month, +# temporal_range=datetime, +# smoothing_strategies=smoothing, +# include_decade_data=include_decade_data, +# mann_kendall_parameters=mann_kendall, +# ) +# except ValueError as err: +# raise HTTPException(status_code=400, detail=str(err)) +# else: +# series = [] +# for obs_series_info, pd_series_stuff in observation_series.items(): +# smoothing_strategy, derived_series = obs_series_info +# pd_series, pd_series_info = pd_series_stuff +# processed_series = TimeSeries.from_observation_series( +# series=pd_series, +# variable=db_variable, +# smoothing_strategy=smoothing_strategy, +# extra_info=pd_series_info, +# derived_series=derived_series, +# ) +# series.append(processed_series) +# return TimeSeriesList(series=series) +# else: +# raise HTTPException(status_code=400, detail="Invalid variable identifier") +# else: +# raise HTTPException(status_code=400, detail="Invalid station identifier") +# +# +# def _serialize_dataframe( +# df: pd.DataFrame, +# exclude_series_name_pattern: str | None = None, +# info: dict[str, str] | None = None, +# ) -> list[TimeSeries]: +# series = [] +# for series_name, series_measurements in df.to_dict().items(): +# if ( +# exclude_series_name_pattern is None +# or exclude_series_name_pattern not in series_name +# ): +# measurements = [] +# for timestamp, value in series_measurements.items(): +# if not math.isnan(value): +# measurements.append(TimeSeriesItem(value=value, datetime=timestamp)) +# series.append(TimeSeries(name=series_name, values=measurements, info=info)) +# return series diff --git a/arpav_ppcv/webapp/api_v2/schemas/geojson/observations.py b/arpav_ppcv/webapp/api_v2/schemas/geojson/observations.py index d5704e4f..5396a8a2 100644 --- a/arpav_ppcv/webapp/api_v2/schemas/geojson/observations.py +++ b/arpav_ppcv/webapp/api_v2/schemas/geojson/observations.py @@ -6,7 +6,6 @@ observations, fields, ) -from ..observations import VariableReadEmbeddedInStationRead from .base import ArpavFeatureCollection @@ -21,7 +20,7 @@ class StationFeatureCollectionItem(geojson_pydantic.Feature): @classmethod def from_db_instance( cls, - instance: observations.Station, + instance: observations.ObservationStation, request: Request, ) -> "StationFeatureCollectionItem": url = request.url_for("get_station", **{"station_id": instance.id}) @@ -35,18 +34,6 @@ def from_db_instance( "geom", } ), - "monthly_variables": [ - VariableReadEmbeddedInStationRead(**v.model_dump()) - for v in instance.monthly_variables - ], - "seasonal_variables": [ - VariableReadEmbeddedInStationRead(**v.model_dump()) - for v in instance.seasonal_variables - ], - "yearly_variables": [ - VariableReadEmbeddedInStationRead(**v.model_dump()) - for v in instance.yearly_variables - ], }, links=[str(url)], ) diff --git a/arpav_ppcv/webapp/api_v2/schemas/observations.py b/arpav_ppcv/webapp/api_v2/schemas/observations.py index 51b839d7..1135e0bb 100644 --- a/arpav_ppcv/webapp/api_v2/schemas/observations.py +++ b/arpav_ppcv/webapp/api_v2/schemas/observations.py @@ -4,7 +4,10 @@ import pydantic from fastapi import Request -from ....schemas import observations +from ....schemas import ( + observations, + static, +) from ....schemas.base import Season from .base import WebResourceList @@ -67,6 +70,22 @@ def from_db_instance( ) +class ObservationStationReadListItem(pydantic.BaseModel): + url: pydantic.AnyHttpUrl + identifier: str + name: str + owner: static.ObservationStationOwner + + @classmethod + def from_db_instance( + cls, instance: observations.ObservationStation, request: Request + ) -> "ObservationStationReadListItem": + return cls( + **instance.model_dump(), + url=request.url_for("get_station", **{"station_id": instance.id}), + ) + + class MonthlyMeasurementReadListItem(observations.MonthlyMeasurementBase): url: pydantic.AnyHttpUrl climatic_indicator_identifier: str @@ -141,9 +160,15 @@ def from_db_instance( ) -class StationList(WebResourceList): - items: list[StationReadListItem] - list_item_type = StationReadListItem +# class StationList(WebResourceList): +# items: list[StationReadListItem] +# list_item_type = StationReadListItem +# path_operation_name = "list_stations" + + +class ObservationStationList(WebResourceList): + items: list[ObservationStationReadListItem] + list_item_type = ObservationStationReadListItem path_operation_name = "list_stations" diff --git a/poetry.lock b/poetry.lock index 101d1df1..c16df944 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,9 +1,10 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry and should not be changed by hand. [[package]] name = "aiosqlite" version = "0.20.0" description = "asyncio bridge to the standard sqlite3 module" +category = "main" optional = false python-versions = ">=3.8" files = [ @@ -20,13 +21,14 @@ docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"] [[package]] name = "alembic" -version = "1.13.1" +version = "1.14.0" description = "A database migration tool for SQLAlchemy." +category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"}, - {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"}, + {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"}, + {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"}, ] [package.dependencies] @@ -39,13 +41,14 @@ tz = ["backports.zoneinfo"] [[package]] name = "alembic-postgresql-enum" -version = "1.2.0" +version = "1.4.0" description = "Alembic autogenerate support for creation, alteration and deletion of enums" +category = "main" optional = false python-versions = "<4.0,>=3.7" files = [ - {file = "alembic_postgresql_enum-1.2.0-py3-none-any.whl", hash = "sha256:bd156e882a10c680fc88ebad25cfe78ccf9f826dec89670f8aeb28e5359e502b"}, - {file = "alembic_postgresql_enum-1.2.0.tar.gz", hash = "sha256:971bd3a4c35ea38869bb5e263ea79e5b4a9c4a02f174a3dd7ddcb29d41260cba"}, + {file = "alembic_postgresql_enum-1.4.0-py3-none-any.whl", hash = "sha256:c9eb20cb594085a48175aabcc5ffb448e6abfcc3f34cd9d03a1b7d5cc35457b8"}, + {file = "alembic_postgresql_enum-1.4.0.tar.gz", hash = "sha256:fb0af50059891bf3fb9638d4c32a61b4eee116c302a90e0c74ed3f5f396153f4"}, ] [package.dependencies] @@ -56,6 +59,7 @@ SQLAlchemy = ">=1.4" name = "annotated-types" version = "0.7.0" description = "Reusable constraint types to use with 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