diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 0000000..9d33724 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,11 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file + +version: 2 +updates: + - package-ecosystem: "pip" # See documentation for possible values + directory: "/" # Location of package manifests + schedule: + interval: "weekly" \ No newline at end of file diff --git a/.github/workflows/docker-ci.yml b/.github/workflows/docker-ci.yml new file mode 100644 index 0000000..ac3895d --- /dev/null +++ b/.github/workflows/docker-ci.yml @@ -0,0 +1,19 @@ +name: Docker CI + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + - name: Build image + run: | + COMMIT_HASH=$(git rev-parse --short HEAD) + IMAGE_TAG=ghcr.io/${{ github.repository }}:${COMMIT_HASH} + docker build . --file Dockerfile --tag $IMAGE_TAG diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml new file mode 100644 index 0000000..fdf6e00 --- /dev/null +++ b/.github/workflows/docker-publish.yml @@ -0,0 +1,36 @@ +name: Docker publish + +on: + release: + types: [ created ] + +env: + REGISTRY: ghcr.io + IMAGE_NAME: ${{ github.repository }} + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + - name: Login to ghcr + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata for image tag + id: meta + uses: docker/metadata-action@v4 + with: + images: "${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}" + + - name: Build and push image + uses: docker/build-push-action@v5 + with: + context: . + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} diff --git a/.github/workflows/poetry-ci.yml b/.github/workflows/poetry-ci.yml new file mode 100644 index 0000000..4b517ae --- /dev/null +++ b/.github/workflows/poetry-ci.yml @@ -0,0 +1,48 @@ +name: Poetry CI + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + +jobs: + test: + runs-on: ubuntu-latest + + strategy: + fail-fast: false + matrix: + python-version: [ 3.12 ] + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install poetry + run: | + curl -sSL https://install.python-poetry.org | python3 - + echo "${HOME}/.local/bin" >> $GITHUB_PATH + + - name: Set up cache + uses: actions/cache@v4 + with: + path: | + .venv + ~/.cache/pypoetry + key: poetry-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }} + + - name: Install dependencies + run: | + poetry config virtualenvs.in-project true + poetry install --no-interaction --no-root + + - name: Run unit tests + run: poetry run pytest + + - name: Run mypy + run: poetry run mypy . diff --git a/.github/workflows/poetry-publish.yml b/.github/workflows/poetry-publish.yml new file mode 100644 index 0000000..9d7acb1 --- /dev/null +++ b/.github/workflows/poetry-publish.yml @@ -0,0 +1,37 @@ +name: Poetry Publish + +on: + release: + types: [ created ] + +jobs: + publish: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v3 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: 3.12 + + - name: Install Poetry + run: | + curl -sSL https://install.python-poetry.org | python3 - + echo "${HOME}/.local/bin" >> $GITHUB_PATH + + - name: Install dependencies + run: | + poetry config virtualenvs.in-project true + poetry install --no-interaction --no-root + + - name: Build the package + run: | + poetry build + + - name: Publish to PyPI + env: + TOKEN: ${{ secrets.PYPI_TOKEN }} + run: | + poetry publish --username __token__ --password $TOKEN --no-interaction diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..712499c --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,7 @@ + + + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..f2e518d --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/public-transit-viewer.iml b/.idea/public-transit-viewer.iml new file mode 100644 index 0000000..ee28fd3 --- /dev/null +++ b/.idea/public-transit-viewer.iml @@ -0,0 +1,14 @@ + + + + + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/naviqore_client/.vscode/settings.json b/.vscode/settings.json similarity index 73% rename from naviqore_client/.vscode/settings.json rename to .vscode/settings.json index 9549fa0..ac5bc29 100644 --- a/naviqore_client/.vscode/settings.json +++ b/.vscode/settings.json @@ -2,15 +2,22 @@ "editor.formatOnPaste": false, "editor.formatOnSave": true, "[python]": { - "editor.rulers": [88], + "editor.rulers": [ + 88 + ], "editor.defaultFormatter": "ms-python.black-formatter", "editor.formatOnSave": true }, "python.analysis.autoFormatStrings": true, "python.analysis.typeCheckingMode": "strict", "editor.defaultFormatter": "ms-python.black-formatter", - "black-formatter.args": ["--line-length", "88"], - "python.testing.pytestArgs": ["tests"], + "black-formatter.args": [ + "--line-length", + "88" + ], + "python.testing.pytestArgs": [ + "tests" + ], "python.testing.unittestEnabled": false, "python.testing.pytestEnabled": true } diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..c5df598 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,25 @@ +# Stage 1: Builder Stage +FROM python:3.12-slim AS builder + +WORKDIR /app + +COPY . . + +RUN pip install --no-cache-dir poetry \ + && poetry build -f wheel + +# Stage 2: Production Stage +FROM python:3.12-slim + +WORKDIR /app + +COPY --from=builder /app/dist/*.whl ./ +RUN pip install --no-cache-dir *.whl \ + && rm *.whl + +EXPOSE 8501 + +RUN useradd --create-home appuser +USER appuser + +CMD ["ptv-deploy"] \ No newline at end of file diff --git a/README.md b/README.md index 20d810e..0116ede 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,49 @@ -# public-transit-viewer -A public transit viewer streamlit app +# Public Transit Viewer + +Viewer to interact with the [Public Transit Service](https://github.com/naviqore/public-transit-service). + +The streamlit based Python app allows users to query connections between two stops or generate isolines from a specific +stop. The application supports the query parameters of the service to search specific connections or isoline. + +## Installation + +Get the current release from pypi and start the viewer: + +```sh +pip install public-transit-viewer + +export NAVIQORE_SERVICE_URL= +ptv-deploy +``` + +Or run the viewer inside a Docker container: + +```sh +docker run -p 8501:8501 -e NAVIQORE_SERVICE_URL= ghcr.io/naviqore/public-transit-client:latest +``` + +Access the viewer on `http://localhost:8501`. + +## Development + +### Configuration + +Create a `.env` file in the root directory. And add a line telling the application to which service host it should +connect. In Local Development this is typically a Java Spring service running on `http://localhost:8080`. + +The required line in the `.env` file will then be: `NAVIQORE_SERVICE_URL=http://localhost:8080` + +**Note**: you can also specify the `NAVIQORE_SERVICE_URL` in your operating system environment. + +### Starting the App + +To start the app in development mode run following command from the root directory: + +```sh +poetry run streamlit run public_transit_viewer/connections.py +``` + +## License + +This project is licensed under the MIT License - see +the [LICENSE](https://github.com/naviqore/public-transit-viewer/blob/main/LICENSE) file for details. diff --git a/naviqore_client/.python-version b/naviqore_client/.python-version deleted file mode 100644 index 871f80a..0000000 --- a/naviqore_client/.python-version +++ /dev/null @@ -1 +0,0 @@ -3.12.3 diff --git a/naviqore_client/naviqore_client/client.py b/naviqore_client/naviqore_client/client.py deleted file mode 100644 index 75d5e70..0000000 --- a/naviqore_client/naviqore_client/client.py +++ /dev/null @@ -1,201 +0,0 @@ -from naviqore_client.models import ( - SearchType, - Stop, - Coordinate, - Departure, - Connection, - StopConnection, - DistanceToStop, - TimeType, - TransportMode, - QueryFeatures, -) -from datetime import datetime -from requests import get, Response - - -class Client: - - def __init__(self, host: str): - self.host = host - - def searchStops( - self, query: str, limit: int = 10, searchType: SearchType = SearchType.CONTAINS - ) -> list[Stop]: - url = ( - f"{self.host}/schedule/stops/autocomplete" - f"?query={query}&limit={limit}&searchType={searchType.name}" - ) - response: Response = get(url) - if response.status_code == 200: - return [Stop(**stop) for stop in response.json()] - else: - return [] - - def nearestStops( - self, coordinate: Coordinate, limit: int = 10, maxDistance: int = 1000 - ) -> list[DistanceToStop]: - url = ( - f"{self.host}/schedule/stops/nearest?latitude={coordinate.latitude}" - f"&longitude={coordinate.longitude}&limit={limit}&maxDistance={maxDistance}" - ) - response = get(url) - if response.status_code == 200: - return [DistanceToStop(**stop) for stop in response.json()] - else: - return [] - - def getStop(self, stopId: str) -> Stop | None: - url = f"{self.host}/schedule/stops/{stopId}" - response = get(url) - if response.status_code == 200: - return Stop(**response.json()) - else: - return None - - def getNextDepartures( - self, - stop: str | Stop, - departure: datetime | None = None, - limit: int = 10, - until: datetime | None = None, - ) -> list[Departure]: - stopId = stop.id if isinstance(stop, Stop) else stop - url = f"{self.host}/schedule/stops/{stopId}/departures?limit={limit}" - if departure is not None: - url += f"&departureDateTime={departure.strftime('%Y-%m-%dT%H:%M:%S')}" - if until is not None: - url += f"&untilDateTime={until.strftime('%Y-%m-%dT%H:%M:%S')}" - response = get(url) - if response.status_code == 200: - return [Departure(**departure) for departure in response.json()] - else: - return [] - - def getQueryFeatures(self) -> QueryFeatures: - url = f"{self.host}/routing/" - response = get(url) - if response.status_code == 200: - return QueryFeatures(**response.json()) - else: - return QueryFeatures( - supportsAccessibility=False, - supportsBikes=False, - supportsTravelModes=False, - ) - - def getConnections( - self, - fromStop: str | Stop, - toStop: str | Stop, - time: datetime | None = None, - timeType: TimeType = TimeType.DEPARTURE, - maxWalkingDuration: int | None = None, - maxTransferNumber: int | None = None, - maxTravelTime: int | None = None, - minTransferTime: int | None = None, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - transportModes: list[TransportMode] | None = None, - ) -> list[Connection]: - queryString = self._buildQueryString( - fromStop, - toStop, - time=time, - timeType=timeType, - maxWalkingDuration=maxWalkingDuration, - maxTransferNumber=maxTransferNumber, - maxTravelTime=maxTravelTime, - minTransferTime=minTransferTime, - wheelchairAccessible=wheelchairAccessible, - bikesAllowed=bikesAllowed, - transportModes=transportModes, - ) - url = f"{self.host}/routing/connections?{queryString}" - response = get(url) - if response.status_code == 200: - return [Connection(**connection) for connection in response.json()] - else: - return [] - - def getIsoLines( - self, - fromStop: str | Stop, - time: datetime | None = None, - timeType: TimeType = TimeType.DEPARTURE, - maxWalkingDuration: int | None = None, - maxTransferNumber: int | None = None, - maxTravelTime: int | None = None, - minTransferTime: int | None = None, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - transportModes: list[TransportMode] | None = None, - returnConnections: bool = False, - ) -> list[StopConnection]: - queryString = self._buildQueryString( - fromStop, - time=time, - timeType=timeType, - maxWalkingDuration=maxWalkingDuration, - maxTransferNumber=maxTransferNumber, - maxTravelTime=maxTravelTime, - minTransferTime=minTransferTime, - wheelchairAccessible=wheelchairAccessible, - bikesAllowed=bikesAllowed, - transportModes=transportModes, - ) - - url = f"{self.host}/routing/isolines?{queryString}" - if returnConnections: - url += "&returnConnections=true" - - response = get(url) - if response.status_code == 200: - return [ - StopConnection(**stopConnection) for stopConnection in response.json() - ] - else: - return [] - - @staticmethod - def _buildQueryString( - fromStop: str | Stop, - toStop: str | Stop | None = None, - time: datetime | None = None, - timeType: TimeType | None = None, - maxWalkingDuration: int | None = None, - maxTransferNumber: int | None = None, - maxTravelTime: int | None = None, - minTransferTime: int | None = None, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - transportModes: list[TransportMode] | None = None, - ) -> str: - queryString = ( - f"sourceStopId={fromStop.id if isinstance(fromStop, Stop) else fromStop}" - ) - if toStop is not None: - queryString += ( - f"&targetStopId={toStop.id if isinstance(toStop, Stop) else toStop}" - ) - dateTime = datetime.now() if time is None else time - queryString += f"&dateTime={dateTime.strftime('%Y-%m-%dT%H:%M:%S')}" - if timeType is not None: - queryString += f"&timeType={timeType.value}" - if maxWalkingDuration is not None: - queryString += f"&maxWalkingDuration={maxWalkingDuration}" - if maxTransferNumber is not None: - queryString += f"&maxTransferNumber={maxTransferNumber}" - if maxTravelTime is not None: - queryString += f"&maxTravelTime={maxTravelTime}" - if minTransferTime is not None: - queryString += f"&minTransferTime={minTransferTime}" - if wheelchairAccessible: - queryString += "&wheelchairAccessible=true" - if bikesAllowed: - queryString += "&bikeAllowed=true" - if transportModes is not None: - for transportMode in transportModes: - queryString += f"&travelModes={transportMode.value}" - - return queryString diff --git a/naviqore_client/naviqore_client/models.py b/naviqore_client/naviqore_client/models.py deleted file mode 100644 index a7a9c92..0000000 --- a/naviqore_client/naviqore_client/models.py +++ /dev/null @@ -1,261 +0,0 @@ -from enum import Enum -from pydantic import BaseModel, Field, field_validator -from datetime import datetime -from geopy import distance # type: ignore -from itertools import pairwise - - -class SearchType(Enum): - EXACT = "EXACT" - CONTAINS = "CONTAINS" - STARTS_WITH = "STARTS_WITH" - ENDS_WITH = "ENDS_WITH" - - -class LegType(Enum): - WALK = "WALK" - ROUTE = "ROUTE" - - -class TimeType(Enum): - DEPARTURE = "DEPARTURE" - ARRIVAL = "ARRIVAL" - - -class TransportMode(Enum): - BUS = "BUS" - TRAM = "TRAM" - RAIL = "RAIL" - SHIP = "SHIP" - SUBWAY = "SUBWAY" - AERIAL_LIFT = "AERIAL_LIFT" - FUNICULAR = "FUNICULAR" - - -class QueryFeatures(BaseModel): - supportsAccessibility: bool - supportsBikes: bool - supportsTravelModes: bool - - -class Coordinate(BaseModel): - latitude: float - longitude: float - - def distance_to(self, other: "Coordinate") -> float: - return float( - distance.distance( - (self.latitude, self.longitude), - (other.latitude, other.longitude), - ).meters # type: ignore - ) - - def toTuple(self) -> tuple[float, float]: - return (self.latitude, self.longitude) - - -class Stop(BaseModel): - id: str - name: str - coordinate: Coordinate = Field(alias="coordinates") - - -class Route(BaseModel): - id: str - name: str - shortName: str - transportMode: str - - -class StopTime(BaseModel): - stop: Stop - arrivalTime: datetime - departureTime: datetime - - -class Trip(BaseModel): - headSign: str - route: Route - stopTimes: list[StopTime] - - @field_validator("stopTimes", mode="before") - def set_stop_times_not_none(cls, v: list[StopTime] | None) -> list[StopTime]: - return v or [] - - -class Departure(BaseModel): - stopTime: StopTime - trip: Trip - - -class Leg(BaseModel): - fromCoordinate: Coordinate = Field(alias="from") - fromStop: Stop | None = None - toCoordinate: Coordinate = Field(alias="to") - toStop: Stop | None = None - type: LegType - departureTime: datetime - arrivalTime: datetime - trip: Trip | None = None - - @property - def duration(self) -> int: - return (self.arrivalTime - self.departureTime).seconds - - @property - def distance(self) -> float: - return self.fromCoordinate.distance_to(self.toCoordinate) - - @property - def isWalk(self) -> bool: - return self.type == LegType.WALK - - @property - def isRoute(self) -> bool: - return self.type == LegType.ROUTE - - @property - def numStops(self) -> int: - if self.trip is None or not self.isRoute: - return 0 - - # get index of fromStop and toStop - fromStopIndex = None - toStopIndex = None - for i, stopTime in enumerate(self.trip.stopTimes): - if stopTime.stop == self.fromStop: - fromStopIndex = i - if stopTime.stop == self.toStop: - toStopIndex = i - break - - if fromStopIndex is None or toStopIndex is None: - raise ValueError("fromStop or toStop not found in trip") - return toStopIndex - fromStopIndex - - -class Connection(BaseModel): - legs: list[Leg] - - @field_validator("legs") - def legs_not_empty(cls, v: list[Leg]) -> list[Leg]: - if not v: - raise ValueError("legs must not be empty") - return v - - @property - def firstLeg(self) -> Leg: - return self.legs[0] - - @property - def lastLeg(self) -> Leg: - return self.legs[-1] - - @property - def firstRouteLeg(self) -> Leg | None: - for leg in self.legs: - if leg.isRoute: - return leg - - @property - def lastRouteLeg(self) -> Leg | None: - for leg in reversed(self.legs): - if leg.isRoute: - return leg - - @property - def firstStop(self) -> Stop | None: - firstRouteLeg = self.firstRouteLeg - return firstRouteLeg.fromStop if firstRouteLeg else None - - @property - def lastStop(self) -> Stop | None: - lastRouteLeg = self.lastRouteLeg - return lastRouteLeg.toStop if lastRouteLeg else None - - @property - def departureTime(self) -> datetime: - return self.firstLeg.departureTime - - @property - def arrivalTime(self) -> datetime: - return self.lastLeg.arrivalTime - - @property - def fromCoordinate(self) -> Coordinate: - return self.firstLeg.fromCoordinate - - @property - def toCoordinate(self) -> Coordinate: - return self.lastLeg.toCoordinate - - @property - def fromStop(self) -> Stop | None: - return self.firstLeg.fromStop - - @property - def toStop(self) -> Stop | None: - return self.lastLeg.toStop - - @property - def duration(self) -> int: - return (self.arrivalTime - self.departureTime).seconds - - @property - def travelDuration(self) -> int: - return sum(leg.duration for leg in self.legs) - - @property - def travelDistance(self) -> float: - return sum(leg.distance for leg in self.legs) - - @property - def beeLineDistance(self) -> float: - return self.fromCoordinate.distance_to(self.toCoordinate) - - @property - def walkDistance(self) -> float: - return sum(leg.distance for leg in self.legs if leg.isWalk) - - @property - def routeDistance(self) -> float: - return sum(leg.distance for leg in self.legs if leg.isRoute) - - @property - def walkDuration(self) -> int: - return sum(leg.duration for leg in self.legs if leg.isWalk) - - @property - def routeDuration(self) -> int: - return sum(leg.duration for leg in self.legs if leg.isRoute) - - @property - def numTransfers(self) -> int: - return sum(1 for leg in self.legs if leg.isRoute) - 1 - - @property - def numSameStationTransfers(self) -> int: - return sum( - 1 - for prev_leg, current_leg in pairwise(self.legs) - 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-[tool.poetry.dependencies] -python = "^3.12" -requests = "^2.32.2" -pydantic = "^2.7.1" -geopy = "^2.4.1" - -[tool.poetry.group.dev.dependencies] -black = "^24.4.2" -isort = "^5.13.2" - -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" diff --git a/naviqore_viewer/.pre-commit-config.yaml b/naviqore_viewer/.pre-commit-config.yaml deleted file mode 100644 index 4682de4..0000000 --- a/naviqore_viewer/.pre-commit-config.yaml +++ /dev/null @@ -1,17 +0,0 @@ -repos: - - repo: https://github.com/psf/black - rev: 24.4.0 - hooks: - - id: black - - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v2.3.0 - hooks: - - id: check-yaml - - id: end-of-file-fixer - - id: trailing-whitespace - - - repo: https://github.com/pycqa/flake8 - rev: 7.0.0 - hooks: - - id: flake8 diff --git a/naviqore_viewer/.vscode/settings.json b/naviqore_viewer/.vscode/settings.json deleted file mode 100644 index eed71f0..0000000 --- a/naviqore_viewer/.vscode/settings.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "editor.formatOnPaste": false, - "editor.formatOnSave": true, - "[python]": { - "editor.rulers": [88], - "editor.defaultFormatter": "ms-python.black-formatter", - "editor.formatOnSave": true - }, - "python.analysis.autoFormatStrings": true, - "python.analysis.typeCheckingMode": "strict", - "editor.defaultFormatter": "ms-python.black-formatter", - "black-formatter.args": ["--line-length", "88"], - "python.testing.pytestArgs": ["tests"], - "python.testing.unittestEnabled": false, - "python.testing.pytestEnabled": true, -} diff --git a/naviqore_viewer/Makefile b/naviqore_viewer/Makefile deleted file mode 100644 index 3ac0b00..0000000 --- a/naviqore_viewer/Makefile +++ /dev/null @@ -1,58 +0,0 @@ -.DEFAULT_GOAL := run -.PHONY: setup clean install py-lint format run - -PYTHON_VERSION = 3.12 - -REPOSITORY = public-transit-viewer - -setup: -ifeq ($(OS),Windows_NT) - @if not exist .python-version ( \ - @pyenv install -s $(PYTHON_VERSION) && \ - @pyenv local $(PYTHON_VERSION) && \ - @pip install poetry \ - ) -else - @if [ ! -f .python-version ]; then \ - pyenv install -s $(PYTHON_VERSION); \ - pyenv local $(PYTHON_VERSION); \ - pip install poetry; \ - fi -endif - - @poetry config virtualenvs.create true - @poetry config virtualenvs.in-project true - -ifeq ($(OS),Windows_NT) - @for /f %%i in ('python -c "import sys; print(sys.executable)"') do @set PYTHON_PATH=%%i && poetry env use %%i && echo %%i -else - @poetry env use $(shell python -c "import sys; print(sys.executable)") -endif - -clean: setup ## rpemove all build, test, coverage and python artifacts -ifeq ($(OS),Windows_NT) - @echo WINDOWS - @poetry env info -p > temp2.txt - @timeout /t 2 - @echo Checking for virtual environment - @set /p PYTHON_PATH= Client: - - rootDir = Path(__file__).parent.parent - config = dotenv_values(rootDir / ".env") - - if "NAVIQORE_HOST_URL" not in config: - if "NAVIQORE_HOST_URL" in os.environ: - return Client(str(os.environ["NAVIQORE_HOST_URL"])) - raise ValueError("NAVIQORE_HOST_URL not found in .env file") - - return Client(str(config["NAVIQORE_HOST_URL"])) - - -def _convertToSeconds(value: int | None) -> int | None: - if value is None: - return None - return value * 60 - - -@st.cache_data -def getQueryFeatures() -> QueryFeatures: - client = getClient() - return client.getQueryFeatures() - - -@st.cache_data -def getStopSuggestions(searchterm: str) -> list[tuple[str, str]]: - client = getClient() - stops = client.searchStops(searchterm, limit=10) - return [(stop.name, stop.id) for stop in stops] - - -@st.cache_data -def getConnections( - fromStop: str, - toStop: str, - travelDate: date, - travelTime: time, - timeType: TimeType, - maxTransfers: int | None = None, - maxTravelTime: int | None = None, - maxWalkingDuration: int | None = None, - minTransferTime: int | None = None, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - travelModes: list[str] | None = None, -) -> list[Connection]: - travelDateTime = datetime.combine(travelDate, travelTime) - client = getClient() - - if travelModes is not None: - travelModeEnums = [TransportMode[mode] for mode in travelModes] - else: - travelModeEnums = None - - return client.getConnections( - fromStop, - toStop, - travelDateTime, - timeType=timeType, - maxWalkingDuration=_convertToSeconds(maxWalkingDuration), - maxTransferNumber=maxTransfers, - maxTravelTime=_convertToSeconds(maxTravelTime), - minTransferTime=_convertToSeconds(minTransferTime), - wheelchairAccessible=wheelchairAccessible, - bikesAllowed=bikesAllowed, - transportModes=travelModeEnums, - ) - - -# ugly solution but streamlit does not have a robust way of adding autocomplete -# to selectbox/text input -@st.cache_data -def getStops() -> dict[str, str]: - client = getClient() - stops = client.nearestStops( - Coordinate(latitude=47, longitude=8), limit=INFINITY, maxDistance=INFINITY - ) - return {stop_distance.stop.id: stop_distance.stop.name for stop_distance in stops} - - -@st.cache_data -def getIsoLines( - fromStop: str, - travelDate: date, - travelTime: time, - timeType: TimeType, - maxTransfers: int | None = None, - maxTravelTime: int | None = None, - maxWalkingDuration: int | None = None, - minTransferTime: int | None = None, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - travelModes: list[str] | None = None, -) -> tuple[Stop, pd.DataFrame] | None: - client = getClient() - travelDateTime = datetime.combine(travelDate, travelTime) - - if travelModes is not None: - travelModeEnums = [TransportMode[mode] for mode in travelModes] - else: - travelModeEnums = None - - stopConnections = client.getIsoLines( - fromStop, - travelDateTime, - timeType=timeType, - maxWalkingDuration=_convertToSeconds(maxWalkingDuration), - maxTransferNumber=maxTransfers, - maxTravelTime=_convertToSeconds(maxTravelTime), - minTransferTime=_convertToSeconds(minTransferTime), - wheelchairAccessible=wheelchairAccessible, - bikesAllowed=bikesAllowed, - transportModes=travelModeEnums, - ) - - sourceStop = client.getStop(fromStop) - - if sourceStop is None: - return None - - if not stopConnections: - return None - - if timeType == TimeType.DEPARTURE: - return _get_earliest_arrivals_dataframe( - stopConnections, travelDateTime, sourceStop - ) - else: - return _get_latest_departures_dataframe( - stopConnections, travelDateTime, sourceStop - ) - - -def _get_earliest_arrivals_dataframe( - stopConnections: list[StopConnection], travelDateTime: datetime, sourceStop: Stop -) -> tuple[Stop, pd.DataFrame] | None: - - legs: list[dict[str, datetime | int | str | float]] = [] - - for stopConnection in stopConnections: - - fromStop = stopConnection.connectingLeg.fromStop - toStop = stopConnection.connectingLeg.toStop - - if fromStop is None or toStop is None: - continue - - legs.append( - { - "connectionRound": 0, # TODO: implement connection round - "targetTime": stopConnection.connectingLeg.arrivalTime, - "sourceTime": stopConnection.connectingLeg.departureTime, - "sourceStop": fromStop.name, - "sourceLat": fromStop.coordinate.latitude, - "sourceLon": fromStop.coordinate.longitude, - "targetStop": toStop.name, - "targetLat": toStop.coordinate.latitude, - "targetLon": toStop.coordinate.longitude, - "durationFromSourceInMinutes": abs( - int( - ( - stopConnection.connectingLeg.arrivalTime - travelDateTime - ).total_seconds() - // 60 - ) - ), - "distanceFromOrigin": toStop.coordinate.distance_to( - sourceStop.coordinate - ), - "type": stopConnection.connectingLeg.type.value, - "travelMode": _get_travel_mode_from_leg(stopConnection), - } - ) - - return sourceStop, pd.DataFrame(legs) - - -def _get_latest_departures_dataframe( - stopConnections: list[StopConnection], travelDateTime: datetime, sourceStop: Stop -) -> tuple[Stop, pd.DataFrame] | None: - - legs: list[dict[str, datetime | int | str | float]] = [] - - for stopConnection in stopConnections: - - fromStop = stopConnection.connectingLeg.fromStop - toStop = stopConnection.connectingLeg.toStop - - if fromStop is None or toStop is None: - continue - - legs.append( - { - "connectionRound": 0, # TODO: implement connection round - "targetTime": stopConnection.connectingLeg.departureTime, - "sourceTime": stopConnection.connectingLeg.arrivalTime, - "sourceStop": toStop.name, - "sourceLat": toStop.coordinate.latitude, - "sourceLon": toStop.coordinate.longitude, - "targetStop": fromStop.name, - "targetLat": fromStop.coordinate.latitude, - "targetLon": fromStop.coordinate.longitude, - "durationFromSourceInMinutes": int( - abs( - ( - stopConnection.connectingLeg.departureTime - travelDateTime - ).total_seconds() - // 60 - ) - ), - "distanceFromOrigin": fromStop.coordinate.distance_to( - sourceStop.coordinate - ), - "type": stopConnection.connectingLeg.type.value, - "travelMode": _get_travel_mode_from_leg(stopConnection), - } - ) - - return sourceStop, pd.DataFrame(legs) - - -def _get_travel_mode_from_leg(stopConnection: StopConnection) -> str: - trip = stopConnection.connectingLeg.trip - if trip is not None: - route = trip.route - headSign = trip.headSign - descriptionPieces: list[str] = [] - if route.transportMode: - descriptionPieces.append(route.transportMode) - if route.shortName: - descriptionPieces.append(route.shortName) - elif route.name: - descriptionPieces.append(headSign) - elif route.id: - descriptionPieces.append(route.id) - - routeDescription = ": ".join(descriptionPieces) - if headSign: - return f"{routeDescription} - {headSign}" - return routeDescription - return stopConnection.connectingLeg.type.value diff --git a/naviqore_viewer/naviqore_viewer/components/form_components.py b/naviqore_viewer/naviqore_viewer/components/form_components.py deleted file mode 100644 index 4117ea3..0000000 --- a/naviqore_viewer/naviqore_viewer/components/form_components.py +++ /dev/null @@ -1,147 +0,0 @@ -import streamlit as st -from typing import Any -from datetime import date, time -from naviqore_viewer.client import getQueryFeatures -from naviqore_client.models import TimeType, TransportMode - - -def _get_number_value(inputValue: Any) -> int | None: - if inputValue == -1 or inputValue == "": - return None - return int(inputValue) - - -def query_config_expandable( - defaultMaxTransfers: int = -1, - defaultMaxWalkingDuration: int = -1, - defaultMaxTravelTime: int = -1, - defaultMinTransferTime: int = -1, - wheelchairAccessible: bool = False, - bikesAllowed: bool = False, - travelModes: list[str] | None = None, -) -> tuple[ - int | None, - int | None, - int | None, - int | None, - bool, - bool, - list[str] | None, -]: - """ - Create an expandable query configuration. - - Returns: - Query configuration values. - - maxTransfers: Maximum number of transfers. - - maxWalkingDuration: Maximum walking duration. - - maxTravelTime: Maximum travel time. - - minTransferTime: Minimum transfer time. - - wheelchairAccessible: Whether the route should be wheelchair accessible. - - bikesAllowed: Whether bikes are allowed. - - travelModes: List of allowed travel modes. - """ - with st.expander("Query Configuration"): - - columns1, columns2 = st.columns(2) - - maxTransfers = _get_number_value( - columns1.number_input( # type: ignore - label="Max Transfers", - value=defaultMaxTransfers, - min_value=-1, - step=1, - help="To deactivate, set to -1.", - ) - ) - - maxWalkingDuration = _get_number_value( - columns2.number_input( # type: ignore - label="Max Walking Duration (in minutes)", - value=defaultMaxWalkingDuration, - min_value=-1, - step=1, - help="To deactivate, set to -1.", - ) - ) - - column3, column4 = st.columns(2) - - maxTravelTime = _get_number_value( - column3.number_input( # type: ignore - label="Max Travel Time (in minutes)", - value=defaultMaxTravelTime, - min_value=-1, - step=1, - help="To deactivate, set to -1 or leave empty", - ) - ) - - minTransferTime = _get_number_value( - column4.number_input( # type: ignore - label="Min Transfer Time (in minutes)", - value=defaultMinTransferTime, - min_value=-1, - step=1, - help="To deactivate, set to -1 or leave empty", - ) - ) - - queryFeatures = getQueryFeatures() - - if queryFeatures.supportsAccessibility or queryFeatures.supportsBikes: - column5, column6 = st.columns(2) - - if queryFeatures.supportsAccessibility: - wheelchairAccessible = column5.toggle( - label="Wheelchair Accessible", value=wheelchairAccessible - ) - - if queryFeatures.supportsBikes: - bikesAllowed = column6.toggle(label="Bikes Allowed", value=bikesAllowed) - - if queryFeatures.supportsTravelModes: - if travelModes is None: - travelModes = [m.value for m in TransportMode.__members__.values()] - travelModes = st.multiselect( - label="Travel Modes", - options=travelModes, - default=travelModes, - ) - else: - travelModes = None - - return ( - maxTransfers, - maxWalkingDuration, - maxTravelTime, - minTransferTime, - wheelchairAccessible, - bikesAllowed, - travelModes, - ) - - -def time_form_row() -> tuple[date, time, TimeType]: - """ - Create a form row for time input. - - Returns: - Tuple of date, time, and time type. - """ - column1, column2, column3 = st.columns(3) - - timeTypes = list(TimeType.__members__.values()) - - timeType: TimeType = column3.selectbox( # type: ignore - label="Time Type", - options=timeTypes, - format_func=lambda timeType: timeType.value, - ) - - dateTimeLabel = timeType.value.capitalize() - - travelDate: date = column1.date_input(label=f"{dateTimeLabel} Date") # type: ignore - travelTime: time = column2.time_input(label=f"{dateTimeLabel} Time") - - return travelDate, travelTime, timeType diff --git a/naviqore_viewer/naviqore_viewer/connection.py b/naviqore_viewer/naviqore_viewer/connection.py deleted file mode 100644 index b653539..0000000 --- a/naviqore_viewer/naviqore_viewer/connection.py +++ /dev/null @@ -1,246 +0,0 @@ -import streamlit as st -from naviqore_client.models import Connection, Leg -from streamlit_folium import folium_static # type: ignore -import folium # type: ignore -from itertools import cycle -from datetime import datetime - -stopIconArgs = { - "prefix": "fa", - "icon": "location-crosshairs", -} - - -@st.experimental_fragment -def outputConnection(connection: Connection, key: str): - with st.container(border=True): - st.subheader(getConnectionHeader(connection)) - - metricColumns = st.columns(5) - with metricColumns[0]: - st.metric( # type: ignore - label="Departure", value=connection.departureTime.strftime("%H:%M") - ) - - with metricColumns[1]: - st.metric( # type: ignore - label="Arrival", value=connection.arrivalTime.strftime("%H:%M") - ) - - with metricColumns[2]: - st.metric( # type: ignore - label="Duration", value=f"{connection.duration // 60} min" - ) - - with metricColumns[3]: - st.metric(label="Transfers", value=connection.numTransfers) # type: ignore - - with metricColumns[4]: - st.metric( # type: ignore - label="Walking Distance", - value=f"{(float(connection.walkDistance) / 1000):.1f} km", - ) - - showLegs(connection) - showMap(connection, key) - - -def getConnectionHeader(connection: Connection): - firstRouteLeg = connection.firstRouteLeg - if firstRouteLeg is not None: - trip = firstRouteLeg.trip - if trip is not None: - return f"{trip.route.shortName} in direction {trip.headSign}" - - # Else this is a walk connection - fromStop = ( - connection.fromStop.name - if connection.fromStop is not None - else connection.fromCoordinate - ) - toStop = ( - connection.toStop.name - if connection.toStop is not None - else connection.toCoordinate - ) - - return f"Walk from {fromStop} to {toStop}" - - -def showLegs(connection: Connection): - with st.expander("Show legs"): - refDate = connection.departureTime.date() - if connection.multiDate: - printDate(connection.departureTime, False) - for leg in connection.legs: - if connection.multiDate and leg.arrivalTime.date() != refDate: - refDate = leg.arrivalTime.date() - printDate(leg.arrivalTime) - showLeg(leg) - - -def printDate(date: datetime, divider: bool = True) -> None: - if divider: - st.divider() # type: ignore - st.subheader(date.strftime("%d.%m.%Y")) # type: ignore - - -def showLeg(leg: Leg): - with st.container(border=True): - legColumns = st.columns(3) - - legStart = ( - leg.fromStop.name if leg.fromStop is not None else str(leg.fromCoordinate) - ) - legEnd = leg.toStop.name if leg.toStop is not None else str(leg.toCoordinate) - - with legColumns[0]: - st.metric( # type: ignore - label=legStart, - value=leg.departureTime.strftime("%H:%M"), - help=( - leg.departureTime.strftime("%d.%m.%Y") - if leg.departureTime.date() != leg.arrivalTime.date() - else None - ), - ) - - with legColumns[1]: - if leg.isWalk: - walkDuration = leg.duration // 60 - st.markdown( - f"{walkDuration}' Walk", - help=f"Distance: {float(leg.distance) / 1000:.2f} km", - ) - elif leg.trip is not None: - trip = leg.trip - st.markdown(f"{trip.route.shortName} in direction {trip.headSign}") - - with legColumns[2]: - st.metric( # type: ignore - label=legEnd, - value=leg.arrivalTime.strftime("%H:%M"), - help=( - leg.arrivalTime.strftime("%d.%m.%Y") - if leg.departureTime.date() != leg.arrivalTime.date() - else None - ), - ) - - -def showMap(connection: Connection, key: str): - # build dataframe with all coordinates - centroid = ( - (connection.fromCoordinate.latitude + connection.toCoordinate.latitude) / 2, - (connection.fromCoordinate.longitude + connection.toCoordinate.longitude) / 2, - ) - - distance = connection.fromCoordinate.distance_to(connection.toCoordinate) - - # random, may have to be adjusted - zoom = 10 - zoomFactors = { - 1000000: 5, - 500000: 6, - 200000: 7, - 100000: 8, - 50000: 9, - 20000: 10, - 10000: 11, - 5000: 12, - 2000: 13, - 1000: 14, - 500: 15, - } - - for distanceThreshold in zoomFactors: - if distance > distanceThreshold: - zoom = zoomFactors[distanceThreshold] - break - - m = folium.Map(location=centroid, zoom_start=zoom) - - markerLabel = ( - connection.fromStop.name - if connection.fromStop is not None - else str(connection.fromCoordinate) - ) - - folium.Marker( # type: ignore - connection.fromCoordinate.toTuple(), - popup=markerLabel, - tooltip=markerLabel, - icon=folium.Icon(color="blue", **stopIconArgs), - ).add_to(m) - - colors = cycle( - [ - "red", - "darkgreen", - "purple", - "orange", - "darkblue", - "pink", - "green", - "lightblue", - "black", - "lightgreen", - "gray", - "cadetblue", - "white", - ] - ) - - for leg in connection.legs: - color = next(colors) - markerLabel = ( - leg.toStop.name if leg.toStop is not None else str(leg.toCoordinate) - ) - - folium.Marker( # type: ignore - leg.toCoordinate.toTuple(), - popup=markerLabel, - tooltip=markerLabel, - icon=folium.Icon(color=color, **stopIconArgs), - ).add_to(m) - - # now plot leg - coords: list[tuple[float, float]] = [] - lineArgs = {} - if leg.trip is not None: - stopTimes = sorted(leg.trip.stopTimes, key=lambda x: x.departureTime) - for stopTime in stopTimes: - if ( - stopTime.departureTime < leg.departureTime - or stopTime.arrivalTime > leg.arrivalTime - ): - continue - coords.append(stopTime.stop.coordinate.toTuple()) - - folium.Circle( # type: ignore - location=stopTime.stop.coordinate.toTuple(), - radius=30, - color=color, - fill=True, - fill_color=color, - fill_opacity=0.6, - popup=stopTime.stop.name, - ).add_to(m) - else: - coords = [leg.fromCoordinate.toTuple(), leg.toCoordinate.toTuple()] - lineArgs["dash_array"] = "5" - - walkDuration = leg.duration // 60 - label = f"{walkDuration}' Walk" - - if leg.trip is not None: - trip = leg.trip - label = f"{trip.route.shortName} in direction {trip.headSign}" - - folium.PolyLine( # type: ignore - coords, color=color, weight=2.5, opacity=1, popup=label, **lineArgs - ).add_to(m) - - with st.expander("Show map"): # type: ignore - st.write("Map of the connection") # type: ignore - folium_static(m, width=600, height=400) # type: ignore diff --git a/naviqore_viewer/naviqore_viewer/main.py b/naviqore_viewer/naviqore_viewer/main.py deleted file mode 100644 index 7021ea2..0000000 --- a/naviqore_viewer/naviqore_viewer/main.py +++ /dev/null @@ -1,78 +0,0 @@ -import streamlit as st -from streamlit_searchbox import st_searchbox -from naviqore_viewer import LOGO_PATH -from naviqore_viewer.client import getConnections, getStopSuggestions -from naviqore_viewer.connection import outputConnection -from naviqore_viewer.components.form_components import ( - time_form_row, - query_config_expandable, -) -from naviqore_client.models import Connection - -connections: list[Connection] | None = None - -st.set_page_config( - page_title="Naviqore - Router", - page_icon=str(LOGO_PATH), -) - -headerCol1, headerCol2 = st.columns([1, 4]) - -headerCol1.image(str(LOGO_PATH), use_column_width=True) -headerCol2.title("Naviqore") -headerCol2.write("A simple viewer for the Naviqore API") # type: ignore - -column1, column2 = st.columns(2) - -with column1: - fromStopId: str = st_searchbox( - search_function=getStopSuggestions, - label="From", - key="fromStopId", - rerun_on_update=False, - ) - -with column2: - toStopId: str = st_searchbox( - search_function=getStopSuggestions, - label="To", - key="toStopId", - rerun_on_update=False, - ) - -travelDate, travelTime, timeType = time_form_row() -( - maxTransfers, - maxWalkingDuration, - maxTravelTime, - minTransferTime, - wheelchairAccessible, - bikesAllowed, - travelModes, -) = query_config_expandable() - -clicked: bool = st.button("Search", use_container_width=True) - -if clicked: - connections = getConnections( - fromStopId, - toStopId, - travelDate, - travelTime, - timeType, - maxTransfers, - maxTravelTime, - maxWalkingDuration, - minTransferTime, - wheelchairAccessible, - bikesAllowed, - travelModes, - ) -else: - st.stop() - -if not connections: - st.error("No connections found") -else: - for key, connection in enumerate(connections): - outputConnection(connection, str(key)) diff --git a/naviqore_viewer/naviqore_viewer/pages/isolines.py b/naviqore_viewer/naviqore_viewer/pages/isolines.py deleted file mode 100644 index 7c53817..0000000 --- a/naviqore_viewer/naviqore_viewer/pages/isolines.py +++ /dev/null @@ -1,231 +0,0 @@ -import streamlit as st -from streamlit_searchbox import st_searchbox # type: ignore -from naviqore_viewer import LOGO_PATH -from naviqore_viewer.client import getIsoLines, getStopSuggestions -from naviqore_viewer.utils import getColorMapHexValue -from naviqore_viewer.components.form_components import ( - query_config_expandable, - time_form_row, -) -from naviqore_client.models import Stop -import pandas as pd -from streamlit_folium import st_folium # type: ignore -import folium # type: ignore -from dotenv import dotenv_values -from pathlib import Path - -st.set_page_config( - page_title="Naviqore - Iso Lines", - page_icon=str(LOGO_PATH), -) - - -headerCol1, headerCol2 = st.columns([1, 4]) - -headerCol1.image(str(LOGO_PATH), use_column_width=True) -headerCol2.title("Naviqore") -headerCol2.write("Visualize Iso Lines from Source Stop") # type: ignore - - -fromStopId: str = st_searchbox( - search_function=getStopSuggestions, - label="From", - key="fromStopId", - rerun_on_update=False, -) - -travelDate, travelTime, timeType = time_form_row() - -( - maxTransfers, - maxWalkingDuration, - maxTravelTime, - minTransferTime, - wheelchairAccessible, - bikesAllowed, - travelModes, -) = query_config_expandable(defaultMaxTravelTime=60) - -isolines: tuple[Stop, pd.DataFrame] | None = None - -if fromStopId and travelDate and travelTime: - isolines = getIsoLines( - fromStopId, - travelDate, - travelTime, - timeType, - maxTransfers, - maxTravelTime, - maxWalkingDuration, - minTransferTime, - wheelchairAccessible, - bikesAllowed, - travelModes, - ) - if isolines is None: - st.error("No Iso Lines found") - -if isolines is None: - st.stop() - -sourceStop = isolines[0] -isolinesDf = isolines[1] - -maxDuration = int(isolinesDf["durationFromSourceInMinutes"].max()) # type: ignore -maxRound = int(isolinesDf["connectionRound"].max()) # type: ignore - -options = { - "durationFromSourceInMinutes": "By time in minutes", - "connectionRound": "By round", -} - -optionColumns = st.columns(3) - -filterBy: str = optionColumns[0].selectbox( # type: ignore - label="Filter by", - options=options.keys(), - format_func=lambda key: options[key], - index=0, -) - -sliderRange = (0, 1) -if filterBy == "connectionRound" and maxRound > 0: - sliderRange = (0, maxRound) # type: ignore -elif filterBy == "durationFromSourceInMinutes" and maxDuration > 0: - sliderRange = (0, maxDuration) # type: ignore - -filterValue = optionColumns[1].slider( # type: ignore - label=options[filterBy], - min_value=sliderRange[0], - max_value=sliderRange[1], # type: ignore - value=sliderRange, # type: ignore -) - -showMarkers: bool = optionColumns[2].toggle( # type: ignore - label="Show markers", value=False # type: ignore -) -showFootpathRadius: bool = False -if filterBy != "connectionRound": - showFootpathRadius: bool = optionColumns[2].toggle( # type: ignore - label="Show Footpath Radius on Arrival", value=showFootpathRadius - ) - - -filteredDf = isolinesDf[ # type: ignore - (isolinesDf[filterBy] >= filterValue[0]) & (isolinesDf[filterBy] <= filterValue[1]) -] - -# random, may have to be adjusted -zoom = 10 -zoomFactors = { - 1000000: 4, - 500000: 5, - 200000: 6, - 100000: 7, - 50000: 8, - 20000: 9, - 10000: 10, - 5000: 11, - 2000: 12, - 1000: 13, - 500: 14, -} - -maxDistanceToOrigin = filteredDf["distanceFromOrigin"].max() # type: ignore - -for distanceThreshold in zoomFactors: - if maxDistanceToOrigin > distanceThreshold: - zoom = zoomFactors[distanceThreshold] - break - -sourceCoordinates = sourceStop.coordinate.toTuple() -m = folium.Map(location=sourceCoordinates, zoom_start=zoom) # type: ignore - -# add marker to source coordinate -folium.Marker(sourceCoordinates, tooltip="Source").add_to(m) # type: ignore - - -scriptDir = Path(__file__).parent -envVariables = dotenv_values(scriptDir / ".." / ".." / ".env") - -# get walking speed in m/min (environment variable is in km/h) -walkingSpeed = float(envVariables.get("WALKING_SPEED", 4)) * 1000 / 60 # type: ignore - - -def showMarkerAndLines( - map: folium.Map, row: pd.Series, filterValue: tuple[int, int] # type: ignore -) -> None: - # get color key based on filterValue - filterRange = filterValue[1] - filterValue[0] - if filterRange == 0: - color = getColorMapHexValue(1.0, 0.0, 1.0) - else: - color = getColorMapHexValue( - row[filterBy], filterValue[0], filterValue[1] # type: ignore - ) - - sourceCoordinates: list[float] = [row["sourceLat"], row["sourceLon"]] - targetCoordinates: list[float] = [row["targetLat"], row["targetLon"]] - - if showMarkers: - - if filterBy == "connectionRound": - popup = f"{row['targetStop']} - Round {row['connectionRound']}" - else: - popup = f"{row['targetStop']} - {row['durationFromSourceInMinutes']} min" - - folium.Circle( # type: ignore - location=sourceCoordinates, # type: ignore - radius=30, # type: ignore - color=color, - fill=True, - fill_color=color, - fill_opacity=0.8, - popup=popup, - ).add_to(map) - - lineArgs = {} - if row["type"] == "WALK": - lineArgs["dash_array"] = "5" - - folium.PolyLine( # type: ignore - locations=[sourceCoordinates, targetCoordinates], - toolTip=row["travelMode"], # type: ignore - color=color, - **lineArgs, # type: ignore - ).add_to(map) - - -def showRemainingDistanceCircles( - map: folium.Map, - row: pd.Series, # type: ignore - filterValue: tuple[int, int], - walkingSpeed: float, -) -> None: - - arrivalTime = row["durationFromSourceInMinutes"] # type: ignore - color = getColorMapHexValue(arrivalTime, 0, filterValue[1]) # type: ignore - - timeLeft = filterValue[1] - arrivalTime # type: ignore - radius = timeLeft * walkingSpeed # type: ignore - - # create a circle with the radius of the remaining distance - folium.Circle( # type: ignore - location=[row["targetLat"], row["targetLon"]], # type: ignore - radius=radius, # type: ignore - color=color, - fill=True, - fill_color=color, - fill_opacity=0.3, - popup=f"{row['targetStop']} - {arrivalTime} minutes", # type: ignore - ).add_to(map) - - -for _, row in filteredDf.iterrows(): # type: ignore - if not showFootpathRadius: - showMarkerAndLines(m, row, filterValue) # type: ignore - else: - showRemainingDistanceCircles(m, row, filterValue, walkingSpeed) # type: ignore - - -st_folium(m, use_container_width=True) # type: ignore diff --git a/naviqore_viewer/naviqore_viewer/utils.py b/naviqore_viewer/naviqore_viewer/utils.py deleted file mode 100644 index da750cf..0000000 --- a/naviqore_viewer/naviqore_viewer/utils.py +++ /dev/null @@ -1,42 +0,0 @@ -import matplotlib.pyplot as plt -import matplotlib.colors as mcolors - - -def getColorMapHexValue( - value: float, - min: float, - max: float, - numColorSteps: int = 32, - colorMap: str = "hsv", -) -> str: - """Get hexadecimal color value based on value and color map. - - Args: - value (float): Value to get color for. - min (float): Minimum value of the range. - max (float): Maximum value of the range. - numColorSteps (int, optional): Number of color steps. Defaults to 32. - colorMap (str, optional): Color map. Defaults to "seismic". - - Returns: - str: Hexadecimal color value. - - Raises: - ValueError: If value is out of range. - ValueError: If minimum value is greater than or equal to maximum value. - """ - if value < min or value > max: - raise ValueError("Value is out of range") - - if min >= max: - raise ValueError("Minimum value is greater than or equal to maximum value") - - index = int((value - min) / (max - min + 1) * numColorSteps) - cm = plt.get_cmap(colorMap) - colors_rgb = [cm(x / (float(numColorSteps) - 1)) for x in range(numColorSteps)] - colors_hex = [mcolors.rgb2hex(color) for color in colors_rgb] - return colors_hex[index] - - -if __name__ == "__main__": - print(getColorMapHexValue(0.2, 0, 1)) diff --git a/naviqore_viewer/poetry.lock b/naviqore_viewer/poetry.lock deleted file mode 100644 index fb54c01..0000000 --- a/naviqore_viewer/poetry.lock +++ /dev/null @@ -1,2015 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. - -[[package]] -name = "altair" -version = "5.3.0" -description = "Vega-Altair: A declarative statistical visualization library for Python." -optional = false -python-versions = ">=3.8" -files = [ - 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"2024.6.0" +description = "Source of XYZ tiles providers" +optional = false +python-versions = ">=3.8" +files = [ + { file = "xyzservices-2024.6.0-py3-none-any.whl", hash = "sha256:fecb2508f0f2b71c819aecf5df2c03cef001c56a4b49302e640f3b34710d25e4" }, + { file = "xyzservices-2024.6.0.tar.gz", hash = "sha256:58c1bdab4257d2551b9ef91cd48571f77b7c4d2bc45bf5e3c05ac97b3a4d7282" }, +] + +[metadata] +lock-version = "2.0" +python-versions = "^3.12" +content-hash = "8e6d8bc45a7c39de17261d548b976870a697bff158ca872b0d741d1a0194e84c" diff --git a/naviqore_viewer/naviqore_viewer/__init__.py b/public_transit_viewer/__init__.py similarity index 59% rename from naviqore_viewer/naviqore_viewer/__init__.py rename to public_transit_viewer/__init__.py index 536d6f1..c685571 100644 --- a/naviqore_viewer/naviqore_viewer/__init__.py +++ b/public_transit_viewer/__init__.py @@ -1,3 +1,4 @@ from pathlib import Path LOGO_PATH = Path(__file__).parent / "assets" / "naviqore.png" +ICON_PATH = Path(__file__).parent / "assets" / "favicon.ico" diff --git a/naviqore_client/naviqore_client/__init__.py b/public_transit_viewer/assets/__init__.py similarity index 100% rename from naviqore_client/naviqore_client/__init__.py rename to public_transit_viewer/assets/__init__.py diff --git a/public_transit_viewer/assets/favicon.ico b/public_transit_viewer/assets/favicon.ico new file mode 100644 index 0000000..ec8f3c2 Binary files /dev/null and b/public_transit_viewer/assets/favicon.ico differ diff --git a/naviqore_viewer/naviqore_viewer/assets/naviqore.png b/public_transit_viewer/assets/naviqore.png similarity index 100% rename from naviqore_viewer/naviqore_viewer/assets/naviqore.png rename to public_transit_viewer/assets/naviqore.png diff --git a/naviqore_client/README.md b/public_transit_viewer/components/__init__.py similarity index 100% rename from naviqore_client/README.md rename to public_transit_viewer/components/__init__.py diff --git a/public_transit_viewer/components/form_components.py b/public_transit_viewer/components/form_components.py new file mode 100644 index 0000000..abb2905 --- /dev/null +++ b/public_transit_viewer/components/form_components.py @@ -0,0 +1,194 @@ +from datetime import date, time +from math import ceil +from typing import Any + +import streamlit as st +from public_transit_client.model import TimeType, TransportMode + +from public_transit_viewer.utils.client import get_router_info, get_schedule_info + + +def _get_number_value(input_value: Any) -> int | None: + if input_value == -1 or input_value == "": + return None + return int(input_value) + + +def query_config_expandable( + default_max_transfers: int = -1, + default_max_walking_duration: int = -1, + default_max_travel_time: int = -1, + default_min_transfer_time: int = -1, + wheelchair_accessible: bool = False, + bikes_allowed: bool = False, + travel_modes: list[str] | None = None, +) -> tuple[ + int | None, + int | None, + int | None, + int | None, + bool, + bool, + list[str] | None, +]: + """ + Create an expandable query configuration. + + Returns: + Query configuration values. + - maxTransfers: Maximum number of transfers. + - maxWalkingDuration: Maximum walking duration. + - maxTravelTime: Maximum travel time. + - minTransferTime: Minimum transfer time. + - wheelchairAccessible: Whether the route should be wheelchair accessible. + - bikesAllowed: Whether bikes are allowed. + - travelModes: List of allowed travel modes. + """ + with st.expander("Query Configuration"): + + router_info = get_router_info() + + num_options = 0 + if router_info.supports_max_num_transfers: + num_options += 1 + if router_info.supports_max_walking_duration: + num_options += 1 + if router_info.supports_max_travel_time: + num_options += 1 + if router_info.supports_min_transfer_duration: + num_options += 1 + if router_info.supports_accessibility: + num_options += 1 + if router_info.supports_bikes: + num_options += 1 + + columns = [] + column_index = 0 + for _ in range(ceil(num_options / 2)): + columns.extend(st.columns(2)) + + if router_info.supports_max_num_transfers: + max_transfers = _get_number_value( + columns[column_index].number_input( # type: ignore + label="Max Transfers", + value=default_max_transfers, + min_value=-1, + step=1, + help="To deactivate, set to -1.", + ) + ) + column_index += 1 + else: + max_transfers = None + + if router_info.supports_max_walking_duration: + max_walking_duration = _get_number_value( + columns[column_index].number_input( # type: ignore + label="Max Walking Duration (in minutes)", + value=default_max_walking_duration, + min_value=-1, + step=1, + help="To deactivate, set to -1.", + ) + ) + column_index += 1 + else: + max_walking_duration = None + + if router_info.supports_max_travel_time: + max_travel_time = _get_number_value( + columns[column_index].number_input( # type: ignore + label="Max Travel Time (in minutes)", + value=default_max_travel_time, + min_value=-1, + step=1, + help="To deactivate, set to -1 or leave empty", + ) + ) + column_index += 1 + else: + max_travel_time = None + + if router_info.supports_min_transfer_duration: + min_transfer_time = _get_number_value( + columns[column_index].number_input( # type: ignore + label="Min Transfer Time (in minutes)", + value=default_min_transfer_time, + min_value=-1, + step=1, + help="To deactivate, set to -1 or leave empty", + ) + ) + else: + min_transfer_time = None + + if router_info.supports_accessibility: + wheelchair_accessible = columns[column_index].toggle( + label="Wheelchair Accessible", value=wheelchair_accessible + ) + else: + wheelchair_accessible = False + + if router_info.supports_bikes: + bikes_allowed = columns[column_index].toggle( + label="Bikes Allowed", value=bikes_allowed + ) + else: + bikes_allowed = False + + if router_info.supports_travel_modes: + if travel_modes is None: + travel_modes = [m.value for m in TransportMode.__members__.values()] + travel_modes = st.multiselect( + label="Travel Modes", + options=travel_modes, + default=travel_modes, + ) + else: + travel_modes = None + + return ( + max_transfers, + max_walking_duration, + max_travel_time, + min_transfer_time, + wheelchair_accessible, + bikes_allowed, + travel_modes, + ) + + +def time_form_row() -> tuple[date, time, TimeType]: + """ + Create a form row for time input. + + Returns: + Tuple of date, time, and time type. + """ + column1, column2, column3 = st.columns(3) + + time_types = list(TimeType.__members__.values()) + + time_type: TimeType = column3.selectbox( # type: ignore + label="Time Type", + options=time_types, + format_func=lambda entry: entry.value, + ) + + date_time_label = time_type.value.capitalize() + + schedule_info = get_schedule_info() + if schedule_info.schedule_validity.is_date_valid(date.today()): + default_date = date.today() + else: + default_date = schedule_info.schedule_validity.start_date + + travel_date: date = column1.date_input( + label=f"{date_time_label} Date", + value=default_date, + min_value=schedule_info.schedule_validity.start_date, + max_value=schedule_info.schedule_validity.end_date, + ) # type: ignore + travel_time: time = column2.time_input(label=f"{date_time_label} Time") + + return travel_date, travel_time, time_type diff --git a/public_transit_viewer/connections.py b/public_transit_viewer/connections.py new file mode 100644 index 0000000..4509e1e --- /dev/null +++ b/public_transit_viewer/connections.py @@ -0,0 +1,81 @@ +# streamlit: name=Connections + +import streamlit as st +from public_transit_client.model import Connection +from streamlit_searchbox import st_searchbox # type: ignore + +from public_transit_viewer import LOGO_PATH, ICON_PATH +from public_transit_viewer.components.form_components import ( + query_config_expandable, + time_form_row, +) +from public_transit_viewer.utils.client import get_connections, get_stop_suggestions +from public_transit_viewer.utils.connection import output_connection + +connections: list[Connection] | None = None + +st.set_page_config( + page_title="Naviqore - Connections", + page_icon=str(ICON_PATH), +) + +header_col1, header_col2 = st.columns([1, 4]) + +header_col1.image(str(LOGO_PATH), use_column_width=True) +header_col2.title("Naviqore") +header_col2.write("Search and visualize connections between stops") # type: ignore + +column1, column2 = st.columns(2) + +with column1: + from_stop_id: str = st_searchbox( + search_function=get_stop_suggestions, + label="From", + key="from_stop_id", + rerun_on_update=False, + ) + +with column2: + to_stop_id: str = st_searchbox( + search_function=get_stop_suggestions, + label="To", + key="to_stop_id", + rerun_on_update=False, + ) + +travel_date, travel_time, time_type = time_form_row() +( + max_transfers, + max_walking_duration, + max_travel_time, + min_transfer_time, + wheelchair_accessible, + bikes_allowed, + travel_modes, +) = query_config_expandable() + +clicked: bool = st.button("Search", use_container_width=True) + +if clicked: + connections = get_connections( + from_stop_id, + to_stop_id, + travel_date, + travel_time, + time_type, + max_transfers, + max_travel_time, + max_walking_duration, + min_transfer_time, + wheelchair_accessible, + bikes_allowed, + travel_modes, + ) +else: + st.stop() + +if not connections: + st.error("No connections found") +else: + for key, connection in enumerate(connections): + output_connection(connection) diff --git a/public_transit_viewer/entrypoint.py b/public_transit_viewer/entrypoint.py new file mode 100644 index 0000000..68e39fc --- /dev/null +++ b/public_transit_viewer/entrypoint.py @@ -0,0 +1,26 @@ +import subprocess +from pathlib import Path + +SERVER_ADDRESS = "0.0.0.0" +SERVER_PORT = 8501 + + +def main(): + root_dir = Path(__file__).resolve().parent.parent + main_py_path = root_dir / "public_transit_viewer" / "connections.py" + + subprocess.run( + [ + "streamlit", + "run", + str(main_py_path), + f"--server.port={SERVER_PORT}", + f"--server.address={SERVER_ADDRESS}", + "--browser.gatherUsageStats=false", + ], + cwd=root_dir, + ) + + +if __name__ == "__main__": + main() diff --git a/public_transit_viewer/pages/__init__.py b/public_transit_viewer/pages/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/public_transit_viewer/pages/isolines.py b/public_transit_viewer/pages/isolines.py new file mode 100644 index 0000000..ec2d0f0 --- /dev/null +++ b/public_transit_viewer/pages/isolines.py @@ -0,0 +1,236 @@ +from pathlib import Path + +import folium # type: ignore +import pandas as pd +import streamlit as st +from dotenv import dotenv_values +from public_transit_client.model import Stop, TimeType +from streamlit_folium import st_folium # type: ignore +from streamlit_searchbox import st_searchbox # type: ignore + +from public_transit_viewer import LOGO_PATH, ICON_PATH +from public_transit_viewer.components.form_components import ( + query_config_expandable, + time_form_row, +) +from public_transit_viewer.utils.client import get_isolines, get_stop_suggestions +from public_transit_viewer.utils.color import get_color_map_hex_value + +st.set_page_config( + page_title="Naviqore - Isolines", + page_icon=str(ICON_PATH), +) + +header_col1, header_col2 = st.columns([1, 4]) + +header_col1.image(str(LOGO_PATH), use_column_width=True) +header_col2.title("Naviqore") +header_col2.write("Visualize isolines from a source stop") # type: ignore + +from_stop_id: str = st_searchbox( + search_function=get_stop_suggestions, + label="From", + key="from_stop_id", + rerun_on_update=False, +) + +travel_date, travel_time, time_type = time_form_row() + +( + max_transfers, + max_walking_duration, + max_travel_time, + min_transfer_time, + wheelchair_accessible, + bikes_allowed, + travel_modes, +) = query_config_expandable(default_max_travel_time=60) + +isolines: tuple[Stop, pd.DataFrame] | None = None + +if from_stop_id and travel_date and travel_time: + isolines = get_isolines( + from_stop_id, + travel_date, + travel_time, + time_type, + max_transfers, + max_travel_time, + max_walking_duration, + min_transfer_time, + wheelchair_accessible, + bikes_allowed, + travel_modes, + ) + if isolines is None: + st.error("No Iso Lines found") + +if isolines is None: + st.stop() + +source_stop = isolines[0] +isolines_df = isolines[1] + +max_duration = int(isolines_df["durationFromSourceInMinutes"].max()) # type: ignore +max_round = int(isolines_df["connectionRound"].max()) # type: ignore + +options = { + "durationFromSourceInMinutes": "By time in minutes", + "connectionRound": "By round", +} + +option_columns = st.columns(3) + +filter_by: str = option_columns[0].selectbox( # type: ignore + label="Filter by", + options=options.keys(), + format_func=lambda key: options[key], + index=0, +) + +slider_range = (0, 1) +if filter_by == "connectionRound" and max_round > 0: + slider_range = (0, max_round) # type: ignore +elif filter_by == "durationFromSourceInMinutes" and max_duration > 0: + slider_range = (0, max_duration) # type: ignore + +filter_value = option_columns[1].slider( # type: ignore + label=options[filter_by], + min_value=slider_range[0], + max_value=slider_range[1], # type: ignore + value=slider_range, # type: ignore +) + +show_markers: bool = option_columns[2].toggle( # type: ignore + label="Show markers", value=False # type: ignore +) +show_footpath_radius: bool = False +if filter_by != "connectionRound": + show_footpath_radius: bool = option_columns[2].toggle( # type: ignore + label="Show Footpath Radius on Arrival", value=show_footpath_radius + ) + +filtered_df = isolines_df[ # type: ignore + (isolines_df[filter_by] >= filter_value[0]) + & (isolines_df[filter_by] <= filter_value[1]) + ] + +# random, may have to be adjusted +zoom = 10 +zoom_factors = { + 1000000: 4, + 500000: 5, + 200000: 6, + 100000: 7, + 50000: 8, + 20000: 9, + 10000: 10, + 5000: 11, + 2000: 12, + 1000: 13, + 500: 14, +} + +max_distance_to_origin = filtered_df["distanceFromOrigin"].max() # type: ignore + +for distance_threshold in zoom_factors: + if max_distance_to_origin > distance_threshold: + zoom = zoom_factors[distance_threshold] + break + +source_coordinates = source_stop.coordinate.to_tuple() +m = folium.Map(location=source_coordinates, zoom_start=zoom) # type: ignore + +# add marker to source coordinate +folium.Marker(source_coordinates, tooltip="Source").add_to(m) # type: ignore + +script_dir = Path(__file__).parent +env_variables = dotenv_values(script_dir / ".." / ".." / ".env") + +# get walking speed in m/min (environment variable is in km/h) +walking_speed = float(env_variables.get("WALKING_SPEED", 4)) * 1000 / 60 # type: ignore + + +def show_marker_and_lines( + geo_map: folium.Map, data_row: pd.Series, this_filter_value: tuple[int, int] # type: ignore +) -> None: + # get color key based on filterValue + filter_range = this_filter_value[1] - this_filter_value[0] + if filter_range == 0: + color = get_color_map_hex_value(1.0, 0.0, 1.0) + else: + color = get_color_map_hex_value( + data_row[filter_by], this_filter_value[0], this_filter_value[1] # type: ignore + ) + + source_coordinates: list[float] = [data_row["sourceLat"], data_row["sourceLon"]] + target_coordinates: list[float] = [data_row["targetLat"], data_row["targetLon"]] + + if show_markers: + + stop_col = "targetStop" if time_type == TimeType.DEPARTURE else "sourceStop" + if filter_by == "connectionRound": + popup = f"{data_row[stop_col]} - Round {data_row['connectionRound']}" + else: + popup = ( + f"{data_row[stop_col]} - {data_row['durationFromSourceInMinutes']} min" + ) + + folium.Circle( # type: ignore + location=target_coordinates if time_type == TimeType.DEPARTURE else source_coordinates, # type: ignore + radius=30, # type: ignore + color=color, + fill=True, + fill_color=color, + fill_opacity=0.8, + popup=popup, + ).add_to(geo_map) + + line_args = {} + if data_row["type"] == "WALK": + line_args["dash_array"] = "5" + + folium.PolyLine( # type: ignore + locations=[source_coordinates, target_coordinates], + toolTip=data_row["travelMode"], # type: ignore + color=color, + **line_args, # type: ignore + ).add_to(geo_map) + + +def show_remaining_distance_circles( + geo_map: folium.Map, + data_row: pd.Series, # type: ignore + this_filter_value: tuple[int, int], + this_walking_speed: float, +) -> None: + arrival_time = data_row["durationFromSourceInMinutes"] # type: ignore + color = get_color_map_hex_value(arrival_time, 0, this_filter_value[1]) # type: ignore + + time_left = this_filter_value[1] - arrival_time # type: ignore + radius = time_left * this_walking_speed # type: ignore + + # create a circle with the radius of the remaining distance + stop_col = "targetStop" if time_type == TimeType.DEPARTURE else "sourceStop" + folium.Circle( # type: ignore + location=( + [data_row["targetLat"], data_row["targetLon"]] + if time_type == TimeType.DEPARTURE + else [data_row["sourceLat"], data_row["sourceLon"]] + ), # type: ignore + radius=radius, # type: ignore + color=color, + fill=True, + fill_color=color, + fill_opacity=0.3, + popup=f"{data_row[stop_col]} - {arrival_time} minutes", # type: ignore + ).add_to(geo_map) + + +for _, row in filtered_df.iterrows(): # type: ignore + if not show_footpath_radius: + show_marker_and_lines(m, row, filter_value) # type: ignore + else: + show_remaining_distance_circles(m, row, filter_value, walking_speed) # type: ignore + +st_folium(m, use_container_width=True) # type: ignore diff --git a/public_transit_viewer/py.typed b/public_transit_viewer/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/public_transit_viewer/utils/__init__.py b/public_transit_viewer/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/public_transit_viewer/utils/client.py b/public_transit_viewer/utils/client.py new file mode 100644 index 0000000..da6b56d --- /dev/null +++ b/public_transit_viewer/utils/client.py @@ -0,0 +1,286 @@ +import logging +import os +from datetime import date, datetime, time +from pathlib import Path + +import pandas as pd +import streamlit as st +from dotenv import dotenv_values +from public_transit_client.client import PublicTransitClient +from public_transit_client.model import ( + Connection, + Coordinate, + QueryConfig, + RouterInfo, + ScheduleInfo, + Stop, + StopConnection, + TimeType, + TransportMode, +) + +LOG = logging.getLogger(__name__) +INFINITY = int(2 ** 31 - 1) +SERVICE_URL_KEY = "NAVIQORE_SERVICE_URL" + + +@st.cache_data +def get_client() -> PublicTransitClient: + root_dir = Path(__file__).parent.parent.parent + config = dotenv_values(root_dir / ".env") + + if SERVICE_URL_KEY in config: + service_host = config[SERVICE_URL_KEY] + elif SERVICE_URL_KEY in os.environ: + service_host = os.environ[SERVICE_URL_KEY] + else: + raise ValueError(f"{SERVICE_URL_KEY} not found in .env file or env") + + assert service_host is not None + LOG.info("Binding client to service at %s", service_host) + return PublicTransitClient(service_host) + + +def _convert_to_seconds(value: int | None) -> int | None: + if value is None: + return None + return value * 60 + + +@st.cache_data +def get_router_info() -> RouterInfo: + client = get_client() + return client.get_router_info() + + +@st.cache_data +def get_schedule_info() -> ScheduleInfo: + client = get_client() + return client.get_schedule_info() + + +@st.cache_data +def get_stop_suggestions(search_term: str) -> list[tuple[str, str]]: + client = get_client() + stops = client.search_stops(search_term, limit=10) + return [(stop.name, stop.id) for stop in stops] + + +@st.cache_data +def get_connections( + from_stop: str, + to_stop: str, + travel_date: date, + travel_time: time, + time_type: TimeType, + max_transfers: int | None = None, + max_travel_time: int | None = None, + max_walking_duration: int | None = None, + min_transfer_time: int | None = None, + wheelchair_accessible: bool = False, + bikes_allowed: bool = False, + travel_modes: list[str] | None = None, +) -> list[Connection]: + travel_date_time = datetime.combine(travel_date, travel_time) + client = get_client() + + if travel_modes is not None: + travel_mode_enums = [TransportMode[mode] for mode in travel_modes] + else: + travel_mode_enums = None + + return client.get_connections( + from_stop, + to_stop, + travel_date_time, + time_type=time_type, + query_config=QueryConfig( + max_walking_duration=_convert_to_seconds(max_walking_duration), + max_num_transfers=max_transfers, + max_travel_time=_convert_to_seconds(max_travel_time), + min_transfer_duration=_convert_to_seconds(min_transfer_time), + accessibility=wheelchair_accessible, + bikes=bikes_allowed, + travel_modes=travel_mode_enums, + ), + ) + + +# ugly solution but streamlit does not have a robust way of adding autocomplete +# to select box/text input +@st.cache_data +def get_stops() -> dict[str, str]: + client = get_client() + stops = client.nearest_stops( + Coordinate(latitude=47, longitude=8), limit=INFINITY, max_distance=INFINITY + ) + return {stop_distance.stop.id: stop_distance.stop.name for stop_distance in stops} + + +@st.cache_data +def get_isolines( + from_stop: str, + travel_date: date, + travel_time: time, + time_type: TimeType, + max_transfers: int | None = None, + max_travel_time: int | None = None, + max_walking_duration: int | None = None, + min_transfer_time: int | None = None, + wheelchair_accessible: bool = False, + bikes_allowed: bool = False, + travel_modes: list[str] | None = None, +) -> tuple[Stop, pd.DataFrame] | None: + client = get_client() + travel_date_time = datetime.combine(travel_date, travel_time) + + if travel_modes is not None: + travel_mode_enums = [TransportMode[mode] for mode in travel_modes] + else: + travel_mode_enums = None + + stop_connections = client.get_isolines( + from_stop, + travel_date_time, + time_type=time_type, + query_config=QueryConfig( + max_walking_duration=_convert_to_seconds(max_walking_duration), + max_num_transfers=max_transfers, + max_travel_time=_convert_to_seconds(max_travel_time), + min_transfer_duration=_convert_to_seconds(min_transfer_time), + accessibility=wheelchair_accessible, + bikes=bikes_allowed, + travel_modes=travel_mode_enums, + ), + ) + + source_stop = client.get_stop(from_stop) + + if source_stop is None: + return None + + if not stop_connections: + return None + + if time_type == TimeType.DEPARTURE: + return _get_earliest_arrivals_dataframe( + stop_connections, travel_date_time, source_stop + ) + else: + return _get_latest_departures_dataframe( + stop_connections, travel_date_time, source_stop + ) + + +def _get_earliest_arrivals_dataframe( + stop_connections: list[StopConnection], + travel_date_time: datetime, + source_stop: Stop, +) -> tuple[Stop, pd.DataFrame] | None: + legs: list[dict[str, datetime | int | str | float]] = [] + + for stop_connection in stop_connections: + + from_stop = stop_connection.connecting_leg.from_stop + to_stop = stop_connection.connecting_leg.to_stop + + if from_stop is None or to_stop is None: + continue + + legs.append( + { + "connectionRound": 0, + "targetTime": stop_connection.connecting_leg.arrival_time, + "sourceTime": stop_connection.connecting_leg.departure_time, + "sourceStop": from_stop.name, + "sourceLat": from_stop.coordinate.latitude, + "sourceLon": from_stop.coordinate.longitude, + "targetStop": to_stop.name, + "targetLat": to_stop.coordinate.latitude, + "targetLon": to_stop.coordinate.longitude, + "durationFromSourceInMinutes": abs( + int( + ( + stop_connection.connecting_leg.arrival_time + - travel_date_time + ).total_seconds() + // 60 + ) + ), + "distanceFromOrigin": to_stop.coordinate.distance_to( + source_stop.coordinate + ), + "type": stop_connection.connecting_leg.type.value, + "travelMode": _get_travel_mode_from_leg(stop_connection), + } + ) + + return source_stop, pd.DataFrame(legs) + + +def _get_latest_departures_dataframe( + stop_connections: list[StopConnection], + travel_date_time: datetime, + source_stop: Stop, +) -> tuple[Stop, pd.DataFrame] | None: + legs: list[dict[str, datetime | int | str | float]] = [] + + for stop_connection in stop_connections: + + from_stop = stop_connection.connecting_leg.from_stop + to_stop = stop_connection.connecting_leg.to_stop + + if from_stop is None or to_stop is None: + continue + + legs.append( + { + "connectionRound": 0, + "targetTime": stop_connection.connecting_leg.departure_time, + "sourceTime": stop_connection.connecting_leg.arrival_time, + "sourceStop": to_stop.name, + "sourceLat": to_stop.coordinate.latitude, + "sourceLon": to_stop.coordinate.longitude, + "targetStop": from_stop.name, + "targetLat": from_stop.coordinate.latitude, + "targetLon": from_stop.coordinate.longitude, + "durationFromSourceInMinutes": int( + abs( + ( + stop_connection.connecting_leg.departure_time + - travel_date_time + ).total_seconds() + // 60 + ) + ), + "distanceFromOrigin": from_stop.coordinate.distance_to( + source_stop.coordinate + ), + "type": stop_connection.connecting_leg.type.value, + "travelMode": _get_travel_mode_from_leg(stop_connection), + } + ) + + return source_stop, pd.DataFrame(legs) + + +def _get_travel_mode_from_leg(stop_connection: StopConnection) -> str: + trip = stop_connection.connecting_leg.trip + if trip is not None: + route = trip.route + head_sign = trip.head_sign + description_pieces: list[str] = [] + if route.transport_mode: + description_pieces.append(route.transport_mode.name) + if route.short_name: + description_pieces.append(route.short_name) + elif route.name: + description_pieces.append(head_sign) + elif route.id: + description_pieces.append(route.id) + + route_description = ": ".join(description_pieces) + if head_sign: + return f"{route_description} - {head_sign}" + return route_description + return stop_connection.connecting_leg.type.value diff --git a/public_transit_viewer/utils/color.py b/public_transit_viewer/utils/color.py new file mode 100644 index 0000000..1d2cf33 --- /dev/null +++ b/public_transit_viewer/utils/color.py @@ -0,0 +1,42 @@ +import matplotlib.colors as m_colors +import matplotlib.pyplot as plt + + +def get_color_map_hex_value( + value: float, + min_value: float, + max_value: float, + num_color_steps: int = 32, + color_map: str = "hsv", +) -> str: + """Get hexadecimal color value based on value and color map. + + Args: + value (float): Value to get color for. + min_value (float): Minimum value of the range. + max_value (float): Maximum value of the range. + num_color_steps (int, optional): Number of color steps. Defaults to 32. + color_map (str, optional): Color map. Defaults to "seismic". + + Returns: + str: Hexadecimal color value. + + Raises: + ValueError: If value is out of range. + ValueError: If minimum value is greater than or equal to maximum value. + """ + if value < min_value or value > max_value: + raise ValueError("Value is out of range") + + if min_value >= max_value: + raise ValueError("Minimum value is greater than or equal to maximum value") + + index = int((value - min_value) / (max_value - min_value + 1) * num_color_steps) + cm = plt.get_cmap(color_map) + colors_rgb = [cm(x / (float(num_color_steps) - 1)) for x in range(num_color_steps)] + colors_hex = [m_colors.rgb2hex(color) for color in colors_rgb] + return colors_hex[index] + + +if __name__ == "__main__": + print(get_color_map_hex_value(0.2, 0, 1)) diff --git a/public_transit_viewer/utils/connection.py b/public_transit_viewer/utils/connection.py new file mode 100644 index 0000000..9737cca --- /dev/null +++ b/public_transit_viewer/utils/connection.py @@ -0,0 +1,251 @@ +from datetime import datetime +from itertools import cycle + +import folium # type: ignore +import streamlit as st +from public_transit_client.model import Connection, Leg +from streamlit_folium import folium_static # type: ignore + +stop_icon_args = { + "prefix": "fa", + "icon": "location-crosshairs", +} + + +@st.fragment +def output_connection(connection: Connection): + with st.container(border=True): + st.subheader(get_connection_header(connection)) + + metric_columns = st.columns(5) + with metric_columns[0]: + st.metric( # type: ignore + label="Departure", value=connection.departure_time.strftime("%H:%M") + ) + + with metric_columns[1]: + st.metric( # type: ignore + label="Arrival", value=connection.arrival_time.strftime("%H:%M") + ) + + with metric_columns[2]: + st.metric( # type: ignore + label="Duration", value=f"{connection.duration // 60} min" + ) + + with metric_columns[3]: + st.metric(label="Transfers", value=connection.num_transfers) # type: ignore + + with metric_columns[4]: + st.metric( # type: ignore + label="Walking Distance", + value=f"{(float(connection.walk_distance) / 1000):.1f} km", + ) + + show_legs(connection) + show_map(connection) + + +def get_connection_header(connection: Connection): + first_route_leg = connection.first_route_leg + if first_route_leg is not None: + trip = first_route_leg.trip + if trip is not None: + return f"{trip.route.short_name} in direction {trip.head_sign}" + + # Else this is a walk connection + from_stop = ( + connection.from_stop.name + if connection.from_stop is not None + else connection.from_coordinate + ) + to_stop = ( + connection.to_stop.name + if connection.to_stop is not None + else connection.to_coordinate + ) + + return f"Walk from {from_stop} to {to_stop}" + + +def show_legs(connection: Connection): + with st.expander("Show legs"): + ref_date = connection.departure_time.date() + if connection.multi_date: + print_date(connection.departure_time, False) + for leg in connection.legs: + if connection.multi_date and leg.arrival_time.date() != ref_date: + ref_date = leg.arrival_time.date() + print_date(leg.arrival_time) + show_leg(leg) + + +def print_date(date: datetime, divider: bool = True) -> None: + if divider: + st.divider() # type: ignore + st.subheader(date.strftime("%d.%m.%Y")) # type: ignore + + +def show_leg(leg: Leg): + with st.container(border=True): + leg_columns = st.columns(3) + + leg_start = ( + leg.from_stop.name + if leg.from_stop is not None + else str(leg.from_coordinate) + ) + leg_end = ( + leg.to_stop.name if leg.to_stop is not None else str(leg.to_coordinate) + ) + + with leg_columns[0]: + st.metric( # type: ignore + label=leg_start, + value=leg.departure_time.strftime("%H:%M"), + help=( + leg.departure_time.strftime("%d.%m.%Y") + if leg.departure_time.date() != leg.arrival_time.date() + else None + ), + ) + + with leg_columns[1]: + if leg.is_walk: + walk_duration = leg.duration // 60 + st.markdown( + f"{walk_duration}' Walk", + help=f"Distance: {float(leg.distance) / 1000:.2f} km", + ) + elif leg.trip is not None: + trip = leg.trip + st.markdown(f"{trip.route.short_name} in direction {trip.head_sign}") + + with leg_columns[2]: + st.metric( # type: ignore + label=leg_end, + value=leg.arrival_time.strftime("%H:%M"), + help=( + leg.arrival_time.strftime("%d.%m.%Y") + if leg.departure_time.date() != leg.arrival_time.date() + else None + ), + ) + + +def show_map(connection: Connection): + # build dataframe with all coordinates + centroid = ( + (connection.from_coordinate.latitude + connection.to_coordinate.latitude) / 2, + (connection.from_coordinate.longitude + connection.to_coordinate.longitude) / 2, + ) + + distance = connection.from_coordinate.distance_to(connection.to_coordinate) + + # random, may have to be adjusted + zoom = 10 + zoom_factors = { + 1000000: 5, + 500000: 6, + 200000: 7, + 100000: 8, + 50000: 9, + 20000: 10, + 10000: 11, + 5000: 12, + 2000: 13, + 1000: 14, + 500: 15, + } + + for distance_threshold in zoom_factors: + if distance > distance_threshold: + zoom = zoom_factors[distance_threshold] + break + + m = folium.Map(location=centroid, zoom_start=zoom) + + marker_label = ( + connection.from_stop.name + if connection.from_stop is not None + else str(connection.from_coordinate) + ) + + folium.Marker( # type: ignore + connection.from_coordinate.to_tuple(), + popup=marker_label, + tooltip=marker_label, + icon=folium.Icon(color="blue", **stop_icon_args), + ).add_to(m) + + colors = cycle( + [ + "red", + "darkgreen", + "purple", + "orange", + "darkblue", + "pink", + "green", + "lightblue", + "black", + "lightgreen", + "gray", + "cadetblue", + "white", + ] + ) + + for leg in connection.legs: + color = next(colors) + marker_label = ( + leg.to_stop.name if leg.to_stop is not None else str(leg.to_coordinate) + ) + + folium.Marker( # type: ignore + leg.to_coordinate.to_tuple(), + popup=marker_label, + tooltip=marker_label, + icon=folium.Icon(color=color, **stop_icon_args), + ).add_to(m) + + # now plot leg + coords: list[tuple[float, float]] = [] + line_args = {} + if leg.trip is not None: + stop_times = sorted(leg.trip.stop_times, key=lambda x: x.departure_time) + for stop_time in stop_times: + if ( + stop_time.departure_time < leg.departure_time + or stop_time.arrival_time > leg.arrival_time + ): + continue + coords.append(stop_time.stop.coordinate.to_tuple()) + + folium.Circle( # type: ignore + location=stop_time.stop.coordinate.to_tuple(), + radius=30, + color=color, + fill=True, + fill_color=color, + fill_opacity=0.6, + popup=stop_time.stop.name, + ).add_to(m) + else: + coords = [leg.from_coordinate.to_tuple(), leg.to_coordinate.to_tuple()] + line_args["dash_array"] = "5" + + walk_duration = leg.duration // 60 + label = f"{walk_duration}' Walk" + + if leg.trip is not None: + trip = leg.trip + label = f"{trip.route.short_name} in direction {trip.head_sign}" + + folium.PolyLine( # type: ignore + coords, color=color, weight=2.5, opacity=1, popup=label, **line_args + ).add_to(m) + + with st.expander("Show map"): # type: ignore + st.write("Map of the connection") # type: ignore + folium_static(m, width=600, height=400) # type: ignore diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..8ec99e4 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,38 @@ +[tool.poetry] +name = "public-transit-viewer" +version = "0.5.0" +description = "Viewer to interact with the public transit service." +authors = [ + "Lukas Connolly ", + "Merlin Unterfinger ", + "Michael Brunner" +] +readme = "README.md" +include = ["public_transit_viewer/py.typed"] + +[tool.poetry.dependencies] +python = "^3.12" +python-dotenv = "^1.0.1" +matplotlib = "^3.9.2" +pandas = "^2.2.2" +pydantic = "^2.8.2" +streamlit = "^1.37.1" +streamlit-searchbox = "^0.1.14" +folium = "^0.17.0" +streamlit-folium = "^0.22.0" +watchdog = "^4.0.2" +public-transit-client = "^0.5.2" + +[tool.poetry.group.dev.dependencies] +pytest = "^8.3.2" +mypy = "^1.11.1" +black = "^24.8.0" +isort = "^5.13.2" +pandas-stubs = "^2.2.2.240807" + +[tool.poetry.scripts] +ptv-deploy = "public_transit_viewer.entrypoint:main" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/setup.cfg b/setup.cfg deleted file mode 100644 index 5981562..0000000 --- a/setup.cfg +++ /dev/null @@ -1,5 +0,0 @@ -[flake8] -max-line-length = 88 - -[flake8_nb] -max-line-length = 88 diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_entrypoint.py b/tests/test_entrypoint.py new file mode 100644 index 0000000..3ab9caa --- /dev/null +++ b/tests/test_entrypoint.py @@ -0,0 +1,36 @@ +import os +import signal +import subprocess +import time + + +def test_main(): + # Start the app in a new process + process = subprocess.Popen( + ["python3", "-m", "public_transit_viewer.entrypoint"], + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + + try: + # Give the process a moment to start + time.sleep(2) + + # Check if the process is still running + assert process.poll() is None, "Process terminated prematurely" + + # If it's running, terminate it + os.kill(process.pid, signal.SIGTERM) + + # Wait for the process to terminate + process.wait() + + # Check that the process has ended + assert ( + process.returncode == 0 or process.returncode == -signal.SIGTERM + ), "Process did not terminate as expected" + + finally: + # Clean up: ensure the process is terminated + if process.poll() is None: + os.kill(process.pid, signal.SIGKILL)