diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 0000000..c17afa0 --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,40 @@ +name: docs + +on: + push: + branches: + - main + pull_request: + branches: + - main + +permissions: + pages: write + id-token: write + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.13" + - uses: astral-sh/setup-uv@v5 + - run: uv sync --group docs + - run: uv run mkdocs build + - if: github.ref == 'refs/heads/main' + uses: actions/upload-pages-artifact@v3 + with: + path: site + + deploy: + if: github.ref == 'refs/heads/main' + needs: build + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + steps: + - id: deployment + uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore index 802cda4..05f7a93 100644 --- a/.gitignore +++ b/.gitignore @@ -16,6 +16,9 @@ __pycache__ config/local.json .envrc +# docs +site + # logs gobble.log s3_upload.log diff --git a/docs/api/config.md b/docs/api/config.md new file mode 100644 index 0000000..60dc18c --- /dev/null +++ b/docs/api/config.md @@ -0,0 +1,5 @@ +# config + +Configuration module for Gobble. + +::: config diff --git a/docs/api/constants.md b/docs/api/constants.md new file mode 100644 index 0000000..b8c47f7 --- /dev/null +++ b/docs/api/constants.md @@ -0,0 +1,7 @@ +# constants + +Constants for MBTA route and stop definitions. + +::: constants + options: + show_source: false diff --git a/docs/api/disk.md b/docs/api/disk.md new file mode 100644 index 0000000..6e724e0 --- /dev/null +++ b/docs/api/disk.md @@ -0,0 +1,5 @@ +# disk + +Disk I/O operations for writing transit events to CSV files. + +::: disk diff --git a/docs/api/event.md b/docs/api/event.md new file mode 100644 index 0000000..30071f6 --- /dev/null +++ b/docs/api/event.md @@ -0,0 +1,5 @@ +# event + +Event processing logic for MBTA real-time vehicle updates. + +::: event diff --git a/docs/api/gobble.md b/docs/api/gobble.md new file mode 100644 index 0000000..16acb63 --- /dev/null +++ b/docs/api/gobble.md @@ -0,0 +1,5 @@ +# gobble + +Main entry point for the Gobble streaming service. + +::: gobble diff --git a/docs/api/gtfs.md b/docs/api/gtfs.md new file mode 100644 index 0000000..d24e0e5 --- /dev/null +++ b/docs/api/gtfs.md @@ -0,0 +1,5 @@ +# gtfs + +GTFS archive management and schedule data processing. + +::: gtfs diff --git a/docs/api/logger.md b/docs/api/logger.md new file mode 100644 index 0000000..25fc4e1 --- /dev/null +++ b/docs/api/logger.md @@ -0,0 +1,5 @@ +# logger + +Logging configuration for Gobble. + +::: logger diff --git a/docs/api/s3_upload.md b/docs/api/s3_upload.md new file mode 100644 index 0000000..fcf343b --- /dev/null +++ b/docs/api/s3_upload.md @@ -0,0 +1,5 @@ +# s3_upload + +S3 upload functionality for syncing event data to AWS. + +::: s3_upload diff --git a/docs/api/timing.md b/docs/api/timing.md new file mode 100644 index 0000000..776bac6 --- /dev/null +++ b/docs/api/timing.md @@ -0,0 +1,5 @@ +# timing + +Performance timing utilities for debugging and profiling. + +::: timing diff --git a/docs/api/trip_state.md b/docs/api/trip_state.md new file mode 100644 index 0000000..74a13b5 --- /dev/null +++ b/docs/api/trip_state.md @@ -0,0 +1,5 @@ +# trip_state + +Trip state management for tracking vehicle positions across events. + +::: trip_state diff --git a/docs/api/util.md b/docs/api/util.md new file mode 100644 index 0000000..2a329da --- /dev/null +++ b/docs/api/util.md @@ -0,0 +1,5 @@ +# util + +Utility functions for date/time handling and path generation. + +::: util diff --git a/docs/architecture.md b/docs/architecture.md new file mode 100644 index 0000000..d0c193f --- /dev/null +++ b/docs/architecture.md @@ -0,0 +1,67 @@ +# Architecture + +## Overview + +Gobble is a multi-threaded Python service that streams real-time vehicle data from the MBTA, detects meaningful transit events, and writes enriched data to disk for upload to S3. + +```mermaid +graph TD + A[MBTA V3 Streaming API] --> B[gobble.py
Main entry point — spawns threads per mode] + B -->|SSE streams| C[event.py
Detects arrivals/departures, enriches with GTFS] + C --> D[disk.py
Writes CSVs] + C --> E[gtfs.py
Manages GTFS schedule data] + D --> F[s3_upload.py
Cron-triggered upload to S3] +``` + +## Threading model + +Gobble spawns one thread per transit mode group: + +| Thread | Routes | +| ---------------------------------------------- | -------------------------------------------------------------------- | +| `rapid_routes` | All rapid transit lines (Red, Blue, Orange, Green-B/C/D/E, Mattapan) | +| `cr_routes` | All commuter rail lines | +| `routes_bus_chunk0`, `routes_bus_chunk10`, ... | Bus routes in chunks of 10 (MBTA API limitation) | + +Each thread runs `client_thread()`, which maintains a persistent SSE connection that automatically reconnects on failure. + +A separate daemon thread (`update_gtfs`) runs in the background to refresh GTFS schedule data when the service date changes (around 3 AM Eastern). + +## Event detection + +Gobble detects two types of events by comparing successive vehicle updates: + +- **Arrival (ARR)**: The vehicle's status changes to `STOPPED_AT` and the previous event was a departure (`DEP`). +- **Departure (DEP)**: The vehicle's stop ID changes and the stop sequence has advanced. + +Each event processing thread maintains its own `TripsStateManager` to track per-trip state. State is persisted to JSON files in `data/trip_states/` so it survives restarts. + +## GTFS enrichment + +After detecting an event, Gobble enriches it with schedule data: + +1. Looks up the nearest scheduled arrival at the same stop using `merge_asof` (time-based matching) +2. Calculates **scheduled headway** — time since the previous scheduled arrival at this stop +3. Matches the real-time trip to a scheduled trip and calculates **scheduled travel time** — time since the trip's first stop + +GTFS archives are automatically downloaded from the [MBTA CDN](https://cdn.mbta.com/archive/) and cached locally in `data/gtfs_archives/`. + +## Service date concept + +The MBTA defines a "service date" as running from 3:00 AM to 2:59 AM the next day, rather than midnight to midnight. Gobble uses this convention throughout — events between midnight and 3 AM are attributed to the previous day's service. + +## S3 upload + +`s3_upload.py` runs as a separate process (triggered by cron every 30 minutes in production). It: + +1. Finds all CSV files for today's service date +2. Compresses each file with gzip +3. Uploads to the `tm-mbta-performance` S3 bucket under the `Events-live/` prefix + +## Monitoring + +When `DATADOG_TRACE_ENABLED` is set to `true`, Gobble reports: + +- APM traces for key functions (via `@tracer.wrap()` decorators) +- JSON-formatted logs for Datadog log aggregation +- Exception details with stack traces diff --git a/docs/configuration.md b/docs/configuration.md new file mode 100644 index 0000000..720c0d4 --- /dev/null +++ b/docs/configuration.md @@ -0,0 +1,55 @@ +# Configuration + +Gobble is configured via a JSON file at `config/local.json`. A template is provided at `config/template.json`. + +## Setup + +```bash +cp config/template.json config/local.json +``` + +Then edit `config/local.json` with your values. + +## Reference + +```json +{ + "mbta": { + "v3_api_key": null + }, + "gtfs": { + "dir": null, + "refresh_interval_days": 7 + }, + "modes": ["rapid", "cr", "bus"], + "DATADOG_TRACE_ENABLED": false +} +``` + +### `mbta.v3_api_key` + +**Required.** Your MBTA V3 API key. Get one at [api-v3.mbta.com](https://api-v3.mbta.com/). + +### `gtfs.dir` + +Optional override for the GTFS archives storage directory. Defaults to `data/gtfs_archives/` when `null`. + +### `gtfs.refresh_interval_days` + +How often (in days) to check for a newer GTFS archive. The MBTA publishes new GTFS feeds regularly as schedules change. Defaults to `7`. + +### `modes` + +Which transit modes to stream. Any combination of: + +| Value | Description | +| --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `"rapid"` | Rapid transit: Red, Blue, Orange, Green-B/C/D/E, Mattapan | +| `"cr"` | Commuter rail: all lines | +| `"bus"` | Bus: all bus lines defined in [lines.txt](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.md#linestxt) and all stops defined in [checkpoints.txt](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.md#checkpointstxt) | + +Useful for development — set `["rapid"]` to reduce API load and output volume. + +### `DATADOG_TRACE_ENABLED` + +Set to `true` to enable Datadog APM tracing and structured JSON logging. Should be `true` in production and `false` for local development. diff --git a/docs/contributing.md b/docs/contributing.md new file mode 100644 index 0000000..c2802fb --- /dev/null +++ b/docs/contributing.md @@ -0,0 +1,92 @@ +# Contributing + +Thank you for your interest in contributing to Gobble! This guide will help you get set up and familiar with the development workflow. + +## Getting started + +1. Clone the repository and create your new branch with `bash git checkout -b my-branch-with-cool-new-features` +2. Install [uv](https://docs.astral.sh/uv/) and Python 3.13 +3. Set up your environment: + +```bash +uv venv --python 3.13 +uv sync --group dev +uv run pre-commit install +``` + +1. Copy `config/template.json` to `config/local.json` and add your [MBTA V3 API key](https://api-v3.mbta.com/) + +## Running locally + +```bash +uv run src/gobble.py +``` + +!!! tip + Set `"modes": ["rapid"]` in your `config/local.json` to reduce API load and output volume during development. + +## Running tests + +```bash +uv run pytest +``` + +To run with coverage: + +```bash +uv run coverage run -m pytest +uv run coverage report +``` + +## Linting and formatting + +Gobble uses [Ruff](https://docs.astral.sh/ruff/) for both linting and formatting. Pre-commit hooks run these automatically, but you can also run them manually: + +```bash +uv run ruff check --fix src +uv run ruff format src +``` + +## Code style + +- Ruff handles formatting and lint rules +- Not required but highly encouraged: + - Google-style docstrings + - Type hints + - Unit Testing with PyTest + +## Pull request workflow + +1. Create a feature branch from `main` +2. Make your changes +3. Ensure tests pass (`uv run pytest`) +4. Ensure linting passes (`uv run ruff check src`) +5. Open a pull request against `main` +6. CI will run tests and linting automatically + +## Building the docs + +```bash +uv sync --group docs +uv run mkdocs serve +``` + +This starts a local server at `http://127.0.0.1:8000` with live reload. + +## Project structure + +``` +src/ +├── gobble.py # Main entry point, SSE client, threading +├── event.py # Event detection and enrichment +├── gtfs.py # GTFS archive management and schedule queries +├── trip_state.py # Trip state tracking and persistence +├── disk.py # CSV file writing +├── s3_upload.py # S3 upload +├── util.py # Date/time and path utilities +├── config.py # Configuration loading +├── constants.py # Route and stop definitions +├── logger.py # Logging setup +├── timing.py # Performance measurement +└── tests/ # Test suite +``` diff --git a/docs/data-output.md b/docs/data-output.md new file mode 100644 index 0000000..5539255 --- /dev/null +++ b/docs/data-output.md @@ -0,0 +1,63 @@ +# Data Output + +Gobble writes processed events as CSV files organized in a hierarchical directory structure under `data/`. + +## Directory structure + +``` +data/ +├── daily-rapid-data/ +│ └── {stop_id}/ +│ └── Year={year}/Month={month}/Day={day}/ +│ └── events.csv +├── daily-cr-data/ +│ └── {route_id}_{direction_id}_{stop_id}/ +│ └── Year={year}/Month={month}/Day={day}/ +│ └── events.csv +├── daily-bus-data/ +│ └── {route_id}-{direction_id}-{stop_id}/ +│ └── Year={year}/Month={month}/Day={day}/ +│ └── events.csv +├── gtfs_archives/ +│ └── ... +└── trip_states/ + └── {route_id}.json +``` + +Each mode uses a slightly different path convention: + +- **Rapid transit**: Keyed by `stop_id` only (direction/line is implicit in the stop) +- **Commuter rail**: Underscore-delimited `route_id`, `direction_id`, `stop_id` (because route and stop IDs contain dashes) +- **Bus**: Dash-delimited `route_id`, `direction_id`, `stop_id` + +## CSV schema + +Each `events.csv` contains the following columns: + +| Column | Type | Description | +| ---------------------- | ---------- | ---------------------------------------------------------- | +| `service_date` | `date` | MBTA service date (3 AM to 3 AM) | +| `route_id` | `string` | MBTA route identifier (e.g., `Red`, `CR-Fairmount`, `57`) | +| `trip_id` | `string` | MBTA trip identifier | +| `direction_id` | `int` | Direction of travel: `0` or `1` | +| `stop_id` | `string` | MBTA stop identifier | +| `stop_sequence` | `int` | Position of this stop in the trip's sequence | +| `vehicle_id` | `string` | Vehicle identifier (currently always `"0"`) | +| `vehicle_label` | `string` | Human-readable vehicle number | +| `event_type` | `string` | `ARR` (arrival) or `DEP` (departure) | +| `event_time` | `datetime` | Timestamp of the event (Eastern Time) | +| `scheduled_headway` | `float` | Scheduled seconds since previous trip at this stop | +| `scheduled_tt` | `float` | Scheduled travel time in seconds from trip start | +| `vehicle_consist` | `string` | Pipe-delimited car numbers for multi-car trains | +| `occupancy_status` | `string` | Pipe-delimited occupancy status per car (if available) | +| `occupancy_percentage` | `string` | Pipe-delimited occupancy percentage per car (if available) | + +## S3 destination + +In production, files are uploaded every 30 minutes to: + +``` +s3://tm-mbta-performance/Events-live/{relative_path}.gz +``` + +Files are gzip-compressed before upload. diff --git a/docs/deployment.md b/docs/deployment.md new file mode 100644 index 0000000..ae80b6a --- /dev/null +++ b/docs/deployment.md @@ -0,0 +1,51 @@ +# Deployment + +Gobble runs on AWS EC2 and is deployed using CloudFormation, Ansible, and systemd. + +## Infrastructure + +| Component | Details | +| ------------- | ----------------------------------------- | +| Instance type | `t4g.small` (ARM/Graviton) | +| OS | Ubuntu (ARM64 AMI) | +| Storage | 32 GB gp3 EBS volume | +| IAM | S3 access to `tm-mbta-performance` bucket | +| Monitoring | Datadog APM, logs, and profiling | + +## How to deploy + +From the project root: + +```bash +cd devops +bash ./deploy.sh -p -c +``` + +The deploy script uses Ansible to: + +1. Install system dependencies (Python 3.13, uv) +2. Clone/update the repository +3. Install Python dependencies +4. Copy configuration files +5. Set up the systemd service +6. Configure the S3 upload cron job + +## systemd service + +Gobble runs as a systemd service that automatically restarts on failure. The service configuration is in `devops/systemd.conf`. + +## S3 upload cron + +A cron job runs `s3_upload.py` every 30 minutes to sync today's event data to S3: + +``` +*/30 * * * * cd /path/to/gobble && uv run src/s3_upload.py +``` + +## CloudFormation + +The AWS infrastructure is defined in `devops/cloudformation.json`, which provisions: + +- EC2 instance with appropriate instance profile +- IAM role with S3 write permissions +- Security group configuration diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..175f4e4 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,66 @@ +# Gobble + +Gobble is a service that reads the [MBTA V3 Streaming API](https://www.mbta.com/developers/v3-api/streaming) for all train and bus events, and writes them out to a format that can be understood by the [TransitMatters Data Dashboard](https://github.com/transitmatters/t-performance-dash). + +![Screenshot in action](screenshot.png) + +## What it does + +1. **Streams** real-time vehicle positions from the MBTA API using Server-Sent Events (SSE) +2. **Detects** arrival and departure events by comparing successive vehicle states +3. **Enriches** events with scheduled headway and travel time data from GTFS +4. **Writes** processed events to CSV files organized by route, direction, stop, and date +5. **Uploads** data to AWS S3 for consumption by the Data Dashboard + +## Supported transit modes + +- **Rapid transit** — Red, Blue, Orange, Green (B/C/D/E), and Mattapan lines +- **Commuter rail** — All MBTA commuter rail lines +- **Bus** — All bus lines defined in [lines.txt](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.md#linestxt) and all stops defined in [checkpoints.txt](https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.md#checkpointstxt) + +!!! note "About bus lines" + `lines.txt` and `checkpoints.txt` are MBTA-specific extensions to the + standard GTFS specification. + +## Quick start + +### Requirements + +- [uv](https://docs.astral.sh/uv/) with Python 3.13 +- An [MBTA V3 API key](https://api-v3.mbta.com/) + +### Setup + +```bash +# Create a virtual environment +uv venv --python 3.13 + +# Install dependencies +uv sync --group dev + +# Install pre-commit hooks +uv run pre-commit install + +# Configure +cp config/template.json config/local.json +# Edit config/local.json with your MBTA V3 API key + +# Run +uv run src/gobble.py +``` + +Output will be in `data/` in your current working directory. + +### Running with Docker + +```bash +docker build -t gobble -f Containerfile . +docker run \ + -v ./config/local.json:/app/config/local.json:z \ + -v ./data:/app/data:z \ + gobble:latest +``` + +## Support TransitMatters + +If you've found this app helpful or interesting, please consider [donating](https://transitmatters.org/donate) to TransitMatters to help support our mission to provide data-driven advocacy for a more reliable, sustainable, and equitable transit system in Metropolitan Boston. diff --git a/docs/testing.md b/docs/testing.md new file mode 100644 index 0000000..3b75b62 --- /dev/null +++ b/docs/testing.md @@ -0,0 +1,334 @@ +# Testing + +Gobble uses [pytest](https://docs.pytest.org/) as its testing framework. All tests live in `src/tests/` and mirror the structure of the source modules. + +## Running tests + +```bash +# Run all unit tests +uv run pytest + +# Run with coverage +uv run coverage run -m pytest +uv run coverage report + +# Generate an HTML coverage report +uv run coverage html +# then open htmlcov/index.html + +# Run a specific test file +uv run pytest src/tests/test_event.py + +# Run a specific test class or method +uv run pytest src/tests/test_event.py::TestGetStopName +uv run pytest src/tests/test_event.py::TestGetStopName::test_get_stop_name_found + +# Run with verbose output +uv run pytest -v +``` + +## Test markers + +Tests can be tagged with [pytest markers](https://docs.pytest.org/en/stable/how.html#marking-test-functions-and-selecting-them-for-a-run). The following custom markers are defined in `pytest.ini`: + +| Marker | Purpose | +| ------------- | ------------------------------------------------------------------------------------------------------------ | +| `integration` | Tests that use real GTFS sample data from `src/tests/sample_data/`. These are slower and depend on file I/O. | + +```bash +# Skip integration tests +uv run pytest -m "not integration" + +# Run only integration tests +uv run pytest -m integration +``` + +## Test details + +Each source module has a corresponding test file. The sections below describe what every test verifies. + +### `test_gobble.py` — SSE client and main entry point + +**TestConnect** — SSE connection establishment + +| Test | Verifies | +| --------------------------- | ---------------------------------------------------------------------------------------------------------------- | +| `test_connect_basic` | Constructs correct MBTA API URL, sets streaming headers (`Accept: text/event-stream`), and enables `stream=True` | +| `test_connect_single_route` | URL contains the correct `filter[route]=` parameter for a single route | + +**TestProcessEvents** — Event loop dispatching + +| Test | Verifies | +| ------------------------------------------- | ---------------------------------------------------------------------------------------- | +| `test_process_events_handles_update_events` | `update` SSE events are forwarded to `process_event` (one call per event) | +| `test_process_events_handles_reset_events` | `reset` SSE events (JSON arrays) are unpacked and each item forwarded to `process_event` | +| `test_process_events_handles_add_events` | `add` SSE events are processed the same way as `update` events | + +**TestClientThread** — Reconnection and error handling + +| Test | Verifies | +| --------------------------------------- | ------------------------------------------------------------------------------ | +| `test_client_thread_creates_connection` | Creates an SSE connection, wraps it in `SSEClient`, and calls `process_events` | +| `test_client_thread_retries_on_error` | Reconnects automatically after a `ChunkedEncodingError` | +| `test_log_chunk_error` | Logs `ChunkedEncodingError` and generic exceptions with appropriate messages | + +--- + +### `test_event.py` — Event detection and enrichment pipeline + +**TestGetStopName** — Stop name lookups from GTFS stops DataFrame + +| Test | Verifies | +| ------------------------------------ | -------------------------------------------------------------------------------- | +| `test_get_stop_name_found` | Returns the human-readable stop name when `stop_id` exists in the DataFrame | +| `test_get_stop_name_not_found` | Falls back to returning the raw `stop_id` string when it is not in the DataFrame | +| `test_get_stop_name_empty_dataframe` | Falls back to `stop_id` when the DataFrame is empty | + +**TestArrOrDepEvent** — Arrival/departure state machine transitions + +| Test | Verifies | +| -------------------------------------------- | --------------------------------------------------------------------------------------------- | +| `test_departure_event_new_stop` | `IN_TRANSIT_TO` with an increased stop sequence after an `ARR` produces a departure | +| `test_arrival_event_stopped_after_departure` | `STOPPED_AT` at a new stop after a `DEP` produces both a departure and an arrival | +| `test_no_event_same_stop` | Staying `STOPPED_AT` at the same stop and sequence produces no event | +| `test_departure_with_stopped_at_status` | `STOPPED_AT` at a new stop after an `ARR` (not `DEP`) produces a departure but not an arrival | + +**TestReduceUpdateEvent** — Parsing raw MBTA API updates into internal tuples + +| Test | Verifies | +| -------------------------------------------------------- | ------------------------------------------------------------------------------------------------ | +| `test_reduce_update_event_basic` | Extracts all fields (status, stop, route, trip, vehicle label, timestamps) from a minimal update | +| `test_reduce_update_event_with_carriages` | Multi-carriage consists are joined with `\|` and per-car occupancy is preserved | +| `test_reduce_update_event_carriages_with_null_occupancy` | Carriages with `null` occupancy produce `None` for occupancy fields | +| `test_reduce_update_event_missing_stop` | `{"data": None}` in the stop relationship produces `stop_id = None` | +| `test_reduce_update_event_malformed_stop` | Completely missing stop relationship (`None`) produces `stop_id = None` | +| `test_reduce_update_event_incoming_at_status` | `INCOMING_AT` status maps to event type `ARR` | + +**TestEnrichEvent** — GTFS schedule enrichment + +| Test | Verifies | +| ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | +| `test_enrich_event` | Fetches trips and stop_times by route, calls `add_gtfs_headways`, and returns an enriched dict with `scheduled_headway` and `scheduled_tt` | + +**TestProcessEvent** — Full event processing pipeline + +| Test | Verifies | +| --------------------------------------------- | -------------------------------------------------------------------------------------------------- | +| `test_process_event_first_departure` | A departure event fetches GTFS data, enriches the event, writes it to disk, and updates trip state | +| `test_process_event_skips_event_with_no_stop` | Events with a missing `stop_id` are silently skipped (no disk write, no GTFS fetch) | +| `test_process_event_filters_bus_stops` | Bus events are only written for stops listed in `constants.BUS_STOPS` | +| `test_process_event_no_write_for_non_event` | No disk write occurs when the vehicle is still at the same stop and sequence | +| `test_process_event_first_time_seeing_trip` | First sighting of a trip (no prior state) sets initial trip state without writing an event | + +**TestEventTypeMap** — Status-to-event-type constant + +| Test | Verifies | +| ------------------------------------------- | ------------------------------------------------------------------------------------------- | +| `test_event_type_map_has_expected_mappings` | `IN_TRANSIT_TO` → `DEP`, `STOPPED_AT` → `ARR`, `INCOMING_AT` → `ARR`, and exactly 3 entries | + +--- + +### `test_gtfs.py` — GTFS archive and headway calculations + +**TestGTFS** — Schedule matching and headway computation + +| Test | Verifies | +| ----------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- | +| `test_add_gtfs_headways_batch` | `batch_add_gtfs_headways` matches on-time, early, very-late, and very-early arrivals to the correct scheduled trip and computes headways | +| `test_add_gtfs_headways` | `add_gtfs_headways` produces the same results as the batch version for on-time, early, very-late, and very-early cases | +| `test_get_gtfs_archive_day_is_feed` | _(integration)_ When the requested date is the feed start date, returns the archive directory named after that date | +| `test_get_gtfs_archive_day_not_feed` | _(integration)_ When the requested date falls mid-feed, returns the archive directory named after the feed start date | +| `test_read_gtfs_date_exists_feed_is_read` | _(integration)_ Reads a real GTFS archive and verifies Orange Line termini, Red Line stop data, and Route 1 bus trips to Harvard | + +--- + +### `test_trip_state.py` — Trip state tracking and persistence + +**TestTripStatePerformance** — Hot-path efficiency + +| Test | Verifies | +| -------------------------------------------------------- | ----------------------------------------------------------------------------------- | +| `test_get_trip_state_does_not_call_expensive_operations` | `get_trip_state` never triggers cleanup or file writes (keeping the read path fast) | + +**TestTripStateCleanup** — Stale state removal + +| Test | Verifies | +| --------------------------------------- | -------------------------------------------------------------------------- | +| `test_cleanup_removes_stale_trips` | Trips older than 5 hours are removed; recent trips are kept | +| `test_overnight_purge_clears_all_trips` | A service date change clears all trips and updates the stored service date | + +**TestTripStateFileIO** — File write behavior + +| Test | Verifies | +| --------------------------------- | -------------------------------------------------------------------------------------- | +| `test_set_trip_state_writes_once` | `set_trip_state` writes the state file exactly once per call (after cleanup completes) | + +**TestTripStateIntegration** — Realistic workflow + +| Test | Verifies | +| ------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | +| `test_realistic_workflow` | Adding 10 trips over a simulated time range, then verifying recent trips are accessible while old ones (>5 hours) have been cleaned up | + +**TestTripStateFilePersistence** — File round-tripping + +| Test | Verifies | +| ----------------------------------------- | ------------------------------------------------------------------------------------------------------- | +| `test_file_updated_after_cleanup` | After cleanup, the JSON file on disk contains only fresh and new trips (stale trips removed) | +| `test_file_updated_after_overnight_purge` | After an overnight purge, the JSON file has the updated service date and only the newly added trip | +| `test_file_can_be_read_back_correctly` | Trip state written to disk can be loaded by a new `RouteTripsState` instance with matching field values | + +--- + +### `test_disk.py` — CSV file writing + +**TestWriteEvent** — `write_event` function + +| Test | Verifies | +| --------------------------------------------------------- | ------------------------------------------------------------------------------------- | +| `test_write_event_creates_new_file_with_header` | First event creates a CSV file with the correct header row and one data row | +| `test_write_event_appends_to_existing_file` | Subsequent events for the same partition append to the existing file | +| `test_write_event_creates_partitioned_directories` | Directory structure follows `daily-{mode}-data/{stop_id}/Year=.../Month=.../Day=.../` | +| `test_write_event_different_stops_create_different_files` | Events at different stops create separate CSV files | +| `test_write_event_ignores_extra_fields` | Extra keys in the event dict are not written to the CSV | +| `test_write_event_handles_none_values` | `None` values are written as empty strings in the CSV | + +**TestDiskConstants** — Module constants + +| Test | Verifies | +| ------------------------------------------ | ----------------------------------------------------------- | +| `test_csv_filename` | `CSV_FILENAME` is `"events.csv"` | +| `test_csv_fields_contains_expected_fields` | `CSV_FIELDS` contains all 15 expected column names in order | +| `test_data_dir_is_pathlib_path` | `DATA_DIR` is a `pathlib.Path` instance | +| `test_state_filename` | `STATE_FILENAME` is `"state.json"` | + +--- + +### `test_s3_upload.py` — S3 upload + +**TestCompressAndUploadFile** — Single file compression and upload + +| Test | Verifies | +| ----------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | +| `test_compress_and_upload_file_basic` | Reads the file in binary, gzip-compresses it, uploads to `tm-mbta-performance` with correct content type and encoding headers | +| `test_compress_and_upload_file_correct_s3_path` | S3 key follows the format `Events-live/{relative_path}.gz` | +| `test_compress_and_upload_empty_file` | Empty files are still compressed and uploaded | +| `test_compress_and_upload_file_not_found` | `FileNotFoundError` is raised and no upload is attempted | + +**TestUploadTodaysEventsToS3** — Daily upload orchestration + +| Test | Verifies | +| --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | +| `test_upload_todays_events_basic` | Globs for today's CSV files and uploads each one | +| `test_upload_todays_events_no_files` | No uploads are attempted when glob returns no files | +| `test_upload_todays_events_overnight_service` | Uses the MBTA service date (not calendar date) for the glob pattern — e.g., at 2 AM the service date is still the previous day | +| `test_upload_todays_events_upload_failure` | S3 upload failures propagate as exceptions | +| `test_upload_todays_events_multiple_routes` | Handles files across multiple routes, directions, and modes (rapid, bus, commuter rail) | + +**TestS3UploadConstants** — Module constants + +| Test | Verifies | +| ------------------------------------------------ | -------------------------------------------------------------------------------------------------------- | +| `test_s3_bucket_name` | `S3_BUCKET` is `"tm-mbta-performance"` | +| `test_s3_data_template` | `S3_DATA_TEMPLATE` is `"Events-live/{relative_path}.gz"` | +| `test_local_data_template_has_wildcard_patterns` | `LOCAL_DATA_TEMPLATE` contains glob wildcards for `daily-*`, `Year=`, `Month=`, `Day=`, and `events.csv` | + +--- + +### `test_util.py` — Date/time and path utilities + +#### TestUtil + +| Test | Verifies | +| --------------------------------------------- | ---------------------------------------------------------------------------------------------- | +| `test_service_date` | MBTA service date logic: times before 3 AM belong to the previous service day | +| `test_localized_datetime` | Same service date logic works with timezone-aware datetimes | +| `test_edt_vs_est_datetimes` | Service date boundary is correct across the EDT/EST transition (3 AM EST = 4 AM EDT) | +| `test_output_dir_path_cr` | Commuter rail paths use `daily-cr-data/` with underscore-separated route, direction, and stop | +| `test_output_dir_path_rapid` | Rapid transit paths use `daily-rapid-data/{stop_id}/` (no route/direction in path) | +| `test_output_dir_path_bus` | Bus paths use `daily-bus-data/{route}-{direction}-{stop}/` | +| `test_to_date_int` | `to_dateint` converts a `date` to `YYYYMMDD` integer format | +| `test_get_current_service_date_caching` | Service date is cached per hour and refreshed when the hour changes | +| `test_get_current_service_date_early_morning` | At 2 AM, the cached service date is the previous calendar day | +| `test_service_date_iso8601` | `service_date_iso8601` returns ISO 8601 date strings, respecting the 3 AM service day boundary | + +--- + +### `test_timing.py` — Performance measurement decorator + +#### TestMeasureTime + +| Test | Verifies | +| ---------------------------------------- | ------------------------------------------------------------------------------------------------ | +| `test_decorator_returns_function_result` | Decorated functions still return their original result | +| `test_decorator_preserves_function_name` | `@wraps` preserves the original function's `__name__` | +| `test_decorator_measures_execution_time` | Wall-clock time is captured (a 10 ms sleep takes at least 10 ms) | +| `test_decorator_reports_statistics` | With `report_frequency=1.0`, prints statistics including `last=`, `avg=`, `std=`, `min=`, `max=` | +| `test_decorator_limits_trail_length` | Only the last N execution times are retained (controlled by `trail_length`) | +| `test_decorator_handles_kwargs` | Decorated functions accept `*args` and `**kwargs` correctly | +| `test_decorator_with_zero_frequency` | With `report_frequency=0.0`, no statistics are ever printed | +| `test_decorator_tracks_multiple_calls` | Statistics accumulate correctly over multiple invocations | + +## Fixtures + +Shared test fixtures are organized in `src/tests/fixtures/` by data source type: + +### GTFS fixtures (`fixtures/gtfs_fixtures.py`) + +| Fixture | Scope | Description | +| --------------------- | -------- | ----------------------------------------------------------------------------- | +| `mock_stops_df` | session | Mock GTFS stops DataFrame with sample MBTA stations | +| `mock_trips_df` | session | Mock GTFS trips DataFrame with Red, Orange, and Blue line trips | +| `mock_stop_times_df` | session | Mock stop_times DataFrame with arrival/departure times | +| `mock_gtfs_archive` | function | A fresh `Mock(spec=GtfsArchive)` wired to the session-scoped DataFrames above | +| `empty_trips_df` | session | Empty DataFrame for tests expecting no trip data | +| `empty_stop_times_df` | session | Empty DataFrame for tests expecting no stop_times data | + +### SSE fixtures (`fixtures/sse_fixtures.py`) + +| Fixture | Scope | Description | +| ----------------------------- | -------- | ----------------------------------------------------------- | +| `sse_client_config` | function | API key and URL for SSE client initialization | +| `sample_sse_event` | function | A single MBTA vehicle update event in the API's JSON format | +| `sample_event_reset_sequence` | function | A list of vehicle updates representing an SSE reset event | + +### Sample data (`sample_data/`) + +Real (miniaturized) GTFS data files used by integration tests: + +- `stops_times_mini.txt` — A small subset of GTFS `stop_times.txt` +- `trips_mini.txt` — A small subset of GTFS `trips.txt` + +## Writing tests + +### Conventions + +- **One test file per source module** — name it `test_.py` +- **Group related tests in classes** — e.g., `TestGetStopName` for the `get_stop_name` function +- **Google-style docstrings** on all test classes and methods +- **Use `unittest.mock`** (`patch`, `Mock`, `MagicMock`) to isolate units under test +- **Use `tmp_path`** (pytest built-in fixture) for tests that write to disk + +### Adding a new test + +1. Create or open the test file corresponding to the source module +2. Add a test class grouping related tests +3. Add docstrings explaining what each test verifies and why +4. If the test needs shared mock data, add a fixture to the appropriate file in `fixtures/` +5. If the test requires real GTFS files or is slow, mark it with `@pytest.mark.integration` + +### Example + +```python +class TestMyFeature: + """Tests for the my_feature function in event.py.""" + + def test_handles_normal_input(self): + """Normal input should produce expected output.""" + result = my_feature("input") + assert result == "expected" + + def test_handles_missing_data(self): + """Missing data should return None rather than raising.""" + result = my_feature(None) + assert result is None +``` diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..537ac7e --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,75 @@ +site_name: Gobble +site_description: MBTA real-time event streaming service by TransitMatters +site_url: https://transitmatters.github.io/gobble +repo_url: https://github.com/transitmatters/gobble +repo_name: transitmatters/gobble + +theme: + name: material + palette: + - media: "(prefers-color-scheme: light)" + scheme: default + primary: deep purple + accent: amber + toggle: + icon: material/brightness-7 + name: Switch to dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: deep purple + accent: amber + toggle: + icon: material/brightness-4 + name: Switch to light mode + features: + - content.code.copy + - navigation.sections + - navigation.expand + - toc.follow + +markdown_extensions: + - admonition + - pymdownx.details + - pymdownx.superfences: + custom_fences: + - name: mermaid + class: mermaid + format: !!python/name:pymdownx.superfences.fence_code_format + - pymdownx.highlight: + anchor_linenums: true + - pymdownx.inlinehilite + - toc: + permalink: true + +plugins: + - search + - mkdocstrings: + handlers: + python: + paths: [src] + options: + show_source: true + show_root_heading: true + members_order: source + docstring_style: google + +nav: + - Home: index.md + - Architecture: architecture.md + - Configuration: configuration.md + - Data Output: data-output.md + - Deployment: deployment.md + - Testing: testing.md + - Contributing: contributing.md + - API Reference: + - gobble: api/gobble.md + - event: api/event.md + - gtfs: api/gtfs.md + - trip_state: api/trip_state.md + - disk: api/disk.md + - s3_upload: api/s3_upload.md + - util: api/util.md + - timing: api/timing.md + - config: api/config.md + - constants: api/constants.md + - logger: api/logger.md diff --git a/pyproject.toml b/pyproject.toml index e906448..7b51c5a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,6 +27,10 @@ dev = [ "coverage~=7.13.1", "debugpy~=1.8.19", ] +docs = [ + "mkdocs-material>=9.6", + "mkdocstrings[python]>=0.27", +] [tool.uv] package = false diff --git a/src/config.py b/src/config.py index 2b7f110..a813d83 100644 --- a/src/config.py +++ b/src/config.py @@ -1,3 +1,13 @@ +"""Configuration module for Gobble. + +Loads application configuration from a local JSON file. The configuration +includes API keys, feature flags, and other runtime settings. + +Attributes: + CONFIG: Dictionary containing all configuration values loaded from + config/local.json. +""" + import json with open("config/local.json") as file: diff --git a/src/constants.py b/src/constants.py index d590d42..f6f3bd5 100644 --- a/src/constants.py +++ b/src/constants.py @@ -1,3 +1,17 @@ +"""Constants for MBTA route and stop definitions. + +This module defines the routes and stops tracked by Gobble for the MBTA system. +It includes bus routes with their monitored stops, commuter rail lines, and +rapid transit lines. + +Attributes: + BUS_STOPS: Dictionary mapping bus route IDs to sets of stop IDs to monitor. + ROUTES_BUS: Set of all bus route IDs being tracked. + ROUTES_CR: Set of all commuter rail route IDs. + ROUTES_RAPID: Set of all rapid transit route IDs (subway and trolley). + ALL_ROUTES: Combined set of all tracked route IDs. +""" + BUS_STOPS = { "1": {"110", "188", "62", "59", "102", "72", "79", "93", "2", "64", "75", "67", "97", "10590", "187", "108"}, "4": { diff --git a/src/disk.py b/src/disk.py index 8f1d626..265c053 100644 --- a/src/disk.py +++ b/src/disk.py @@ -1,3 +1,16 @@ +"""Disk I/O operations for writing transit events to CSV files. + +This module handles persisting processed transit events to the local filesystem. +Events are organized into directories by route, direction, and stop, with each +directory containing a single events.csv file. + +Attributes: + CSV_FILENAME: Name of the CSV file used to store events. + CSV_FIELDS: List of field names included in the event CSV files. + DATA_DIR: Base directory path for storing event data. + STATE_FILENAME: Name of the state persistence file. +""" + import csv import os import pathlib @@ -34,6 +47,16 @@ def write_event(event: dict): + """Write a transit event to a CSV file on disk. + + Appends the event to an events.csv file in a directory structure organized + by route, direction, stop, and date. Creates the directory and file with + headers if they don't exist. + + Args: + event: Dictionary containing event data with keys matching CSV_FIELDS. + Must include 'route_id', 'direction_id', 'stop_id', and 'event_time'. + """ dirname = DATA_DIR / pathlib.Path( output_dir_path( event["route_id"], diff --git a/src/event.py b/src/event.py index fa63c68..2932980 100644 --- a/src/event.py +++ b/src/event.py @@ -1,6 +1,17 @@ +"""Event processing logic for MBTA real-time vehicle updates. + +This module handles the core logic for processing individual vehicle events +from the MBTA streaming API. It transforms raw API updates into structured +event records, determines whether events represent arrivals or departures, +and enriches events with GTFS schedule data. + +Attributes: + EVENT_TYPE_MAP: Dictionary mapping MBTA vehicle status codes to event types. +""" + import json from datetime import datetime -from typing import Tuple +from typing import Any, Tuple import pandas as pd from ddtrace import tracer import warnings @@ -30,6 +41,17 @@ def get_stop_name(stops_df: pd.DataFrame, stop_id: str) -> str: + """Look up the human-readable name for a stop ID. + + Args: + stops_df: DataFrame containing GTFS stops data with 'stop_id' and + 'stop_name' columns. + stop_id: The MBTA stop identifier to look up. + + Returns: + The human-readable stop name, or the raw stop_id if no matching + name is found (which may occur for temporary stops). + """ matching_stops = stops_df[stops_df["stop_id"] == stop_id] if len(matching_stops) > 0: return matching_stops.iloc[0].stop_name @@ -43,6 +65,24 @@ def get_stop_name(stops_df: pd.DataFrame, stop_id: str) -> str: def arr_or_dep_event( prev: dict, current_status: str, current_stop_sequence: int, event_type: str, stop_id: str ) -> Tuple[bool, bool]: + """Determine if the current update represents an arrival or departure event. + + Compares the current vehicle state to its previous state to detect + transitions that indicate arrivals (vehicle stopped at a new stop) or + departures (vehicle left a stop for the next one). + + Args: + prev: Dictionary containing the previous trip state with 'stop_id', + 'stop_sequence', and optionally 'event_type'. + current_status: The vehicle's current status from the API + (e.g., "STOPPED_AT", "IN_TRANSIT_TO"). + current_stop_sequence: The current stop sequence number. + event_type: The event type derived from current_status ("ARR" or "DEP"). + stop_id: The current stop ID from the API. + + Returns: + A tuple of (is_departure_event, is_arrival_event) booleans. + """ is_departure_event = prev["stop_id"] != stop_id and prev["stop_sequence"] < current_stop_sequence is_arrival_event = current_status == "STOPPED_AT" and prev.get("event_type", event_type) == "DEP" return is_departure_event, is_arrival_event @@ -50,6 +90,30 @@ def arr_or_dep_event( @tracer.wrap() def reduce_update_event(update: dict) -> Tuple: + """Extract relevant fields from a raw MBTA API vehicle update. + + Parses the nested JSON structure of an MBTA vehicle update and extracts + the fields needed for event processing, including vehicle status, location, + occupancy, and consist information. + + Args: + update: Raw vehicle update dictionary from the MBTA API. + + Returns: + A tuple containing: + - current_status: Vehicle status (STOPPED_AT, IN_TRANSIT_TO, etc.) + - event_type: Mapped event type (ARR or DEP) + - current_stop_sequence: Stop sequence number + - direction_id: Direction of travel (0 or 1) + - route_id: Route identifier + - stop_id: Current/next stop ID (or None if unavailable) + - trip_id: Trip identifier + - vehicle_label: Vehicle label/number + - updated_at: Timestamp of the update + - vehicle_consist: Pipe-separated car numbers for multi-car trains + - occupancy_status: Pipe-separated occupancy status per car + - occupancy_percentage: Pipe-separated occupancy percentage per car + """ current_status = update["attributes"]["current_status"] event_type = EVENT_TYPE_MAP[current_status] updated_at = datetime.fromisoformat(update["attributes"]["updated_at"]) @@ -97,8 +161,23 @@ def reduce_update_event(update: dict) -> Tuple: @tracer.wrap() -def process_event(update, trips_state: TripsStateManager): - """Process a single event from the MBTA's realtime API.""" +def process_event(update: dict[str, Any], trips_state: TripsStateManager) -> None: + """Process a single vehicle update from the MBTA real-time API. + + This is the main event processing function. It extracts event data, + determines if the update represents a meaningful arrival or departure, + enriches the event with GTFS schedule data, and writes it to disk. + + Args: + update: Raw vehicle update dictionary from the MBTA API containing + vehicle position, status, and trip information. + trips_state: Manager for tracking trip state across events, used to + detect arrivals and departures by comparing current vs previous state. + + Note: + Events are filtered to only include commuter rail, rapid transit, and + specific monitored bus stops defined in constants.BUS_STOPS. + """ ( current_status, event_type, @@ -194,9 +273,21 @@ def process_event(update, trips_state: TripsStateManager): @tracer.wrap() -def enrich_event(df: pd.DataFrame, gtfs_archive: gtfs.GtfsArchive): - """ - Given a dataframe with a single event, enrich it with headway information and return a single event dict +def enrich_event(df: pd.DataFrame, gtfs_archive: gtfs.GtfsArchive) -> dict[str, Any]: + """Enrich an event with GTFS schedule information. + + Adds scheduled headway and travel time information from GTFS data to the + event, enabling comparison between actual and scheduled performance. + + Args: + df: DataFrame containing a single event row with route_id, trip_id, + stop_id, direction_id, and event_time columns. + gtfs_archive: GtfsArchive object containing the current GTFS schedule + data for looking up scheduled times. + + Returns: + Dictionary containing the event data enriched with scheduled_headway + and scheduled_tt (travel time) fields. """ # ensure timestamp is always in local time to match the rest of the data df["event_time"] = df["event_time"].dt.tz_convert(util.EASTERN_TIME) diff --git a/src/gobble.py b/src/gobble.py index e6f166a..f365231 100644 --- a/src/gobble.py +++ b/src/gobble.py @@ -1,3 +1,13 @@ +"""Main entry point for Gobble - MBTA real-time event streaming service. + +Gobble connects to the MBTA V3 Streaming API and processes real-time vehicle +position updates for rapid transit, commuter rail, and bus routes. Events are +processed and written to disk for consumption by the TransitMatters Data Dashboard. + +The application spawns multiple threads to handle different transit modes +concurrently, with bus routes further split into chunks due to API limitations. +""" + import json import logging import threading @@ -24,6 +34,15 @@ def main(): + """Initialize and run the Gobble streaming service. + + Starts the GTFS watcher thread and spawns client threads for each enabled + transit mode (rapid transit, commuter rail, bus). Bus routes are split into + chunks of 10 routes per thread due to API limitations. + + The function blocks until all client threads complete (which under normal + operation means indefinitely, as threads reconnect on failure). + """ # Start downloading GTFS bundles immediately gtfs.start_watching_gtfs() @@ -66,12 +85,34 @@ def main(): def connect(routes: Set[str]) -> requests.Response: + """Establish a streaming connection to the MBTA V3 API. + + Args: + routes: Set of route IDs to subscribe to for vehicle updates. + + Returns: + A streaming HTTP response from the MBTA API that yields SSE events. + """ url = f"https://api-v3.mbta.com/vehicles?filter[route]={','.join(routes)}" logger.info(f"Connecting to {url}...") return requests.get(url, headers=HEADERS, stream=True) def client_thread(routes: Set[str]): + """Run a persistent SSE client for a set of routes. + + Maintains a long-lived connection to the MBTA streaming API, automatically + reconnecting on connection failures. Processes incoming events and manages + trip state for the assigned routes. + + Args: + routes: Set of route IDs to monitor for vehicle updates. + + Note: + This function runs indefinitely and is designed to be executed in a + separate thread. It handles ChunkedEncodingError gracefully as these + commonly occur when the server closes idle connections. + """ trips_state = TripsStateManager() while True: start_at = time.time() @@ -98,6 +139,20 @@ def client_thread(routes: Set[str]): def process_events(client: sseclient.SSEClient, trips_state: TripsStateManager): + """Process incoming SSE events from the MBTA streaming API. + + Handles three types of SSE events: + - update: A single vehicle position update + - reset: A batch of updates (typically sent on initial connection) + - add: A new vehicle added to the stream + + Exceptions are caught and logged but not re-raised, allowing the + event loop to continue processing subsequent events. + + Args: + client: An SSEClient connected to the MBTA streaming API. + trips_state: Manager for tracking trip state across events. + """ for event in client.events(): try: if event.event == "update": diff --git a/src/gtfs.py b/src/gtfs.py index 4c84bef..de10172 100644 --- a/src/gtfs.py +++ b/src/gtfs.py @@ -1,3 +1,22 @@ +"""GTFS archive management and schedule data processing. + +This module handles downloading, caching, and querying GTFS (General Transit +Feed Specification) schedule data from the MBTA. It provides functions to: +- Download and cache GTFS archives based on service date +- Query trips and stop times for specific routes +- Calculate scheduled headways and travel times +- Match real-time events to scheduled values + +The module maintains a thread-safe global GTFS archive that is automatically +updated when the service date changes. + +Attributes: + MAIN_DIR: Directory for storing downloaded GTFS archives. + GTFS_ARCHIVES_PREFIX: Base URL for MBTA GTFS archive downloads. + RTE_DIR_STOP: Common column names for route/direction/stop grouping. + current_gtfs_archive: Global cached GtfsArchive for the current service date. +""" + import datetime import pandas as pd import pathlib @@ -35,10 +54,27 @@ def _group_df_by_column(df: pd.DataFrame, column_name: str) -> Dict[str, pd.DataFrame]: + """Group a DataFrame by a column and return a dictionary of sub-DataFrames. + + Args: + df: The DataFrame to group. + column_name: The column to group by. + + Returns: + Dictionary mapping column values to their corresponding DataFrames. + """ return {key: df_group for key, df_group in df.groupby(column_name)} def _get_empty_df_with_same_columns(df: pd.DataFrame) -> pd.DataFrame: + """Create an empty DataFrame with the same columns as the input. + + Args: + df: The DataFrame whose column structure to copy. + + Returns: + An empty DataFrame with the same columns as the input. + """ empty_df = df.copy(deep=False) empty_df.drop(empty_df.index, inplace=True) return empty_df @@ -46,6 +82,18 @@ def _get_empty_df_with_same_columns(df: pd.DataFrame) -> pd.DataFrame: @dataclass class GtfsArchive: + """Container for GTFS schedule data for a specific service date. + + Holds pre-filtered and indexed GTFS data for efficient lookup during + event processing. Data is organized by route for fast access. + + Attributes: + trips: DataFrame of all trips for the service date. + stop_times: DataFrame of all stop times for all trips. + stops: DataFrame of all stop definitions. + service_date: The date this archive represents. + """ + # All trips on all routes trips: pd.DataFrame # All stop times on all trips @@ -64,16 +112,47 @@ def __post_init__(self): trip_ids_for_route = self._trips_by_route_id[route_id].trip_id self._stop_times_by_route_id[route_id] = self.stop_times[self.stop_times.trip_id.isin(trip_ids_for_route)] - def stop_times_by_route_id(self, route_id: str): + def stop_times_by_route_id(self, route_id: str) -> pd.DataFrame: + """Get stop times for a specific route. + + Args: + route_id: The route identifier to look up. + + Returns: + DataFrame of stop times for the route, or an empty DataFrame + if the route is not found. + """ return self._stop_times_by_route_id.get(route_id, self._stop_times_empty) - def trips_by_route_id(self, route_id: str): + def trips_by_route_id(self, route_id: str) -> pd.DataFrame: + """Get trips for a specific route. + + Args: + route_id: The route identifier to look up. + + Returns: + DataFrame of trips for the route, or an empty DataFrame + if the route is not found. + """ return self._trips_by_route_id.get(route_id, self._trips_empty) @tracer.wrap() def _download_gtfs_archives_list() -> pd.DataFrame: - """Downloads list of GTFS archive urls. This file will get overwritten.""" + """Download the list of available GTFS archives from MBTA. + + Fetches the archived_feeds.txt file from the MBTA CDN which contains + metadata about all available GTFS archives including date ranges and + download URLs. + + Returns: + DataFrame containing archive metadata with columns including + feed_start_date, feed_end_date, and archive_url. + + Raises: + PermissionError: If unable to write the archives file to disk + (continues with in-memory data). + """ archives_df = None try: archives_df = pd.read_csv(urljoin(GTFS_ARCHIVES_PREFIX, GTFS_ARCHIVES_FILENAME)) @@ -86,14 +165,26 @@ def _download_gtfs_archives_list() -> pd.DataFrame: def to_dateint(date: datetime.date) -> int: - """turn date into 20220615 e.g.""" + """Convert a date to an integer in YYYYMMDD format. + + Args: + date: A date object to convert. + + Returns: + Integer representation of the date (e.g., 20220615 for June 15, 2022). + """ return int(str(date).replace("-", "")) def _find_most_recent_gtfs_archive() -> Optional[pathlib.Path]: - """ - Find the most recent GTFS archive directory that exists and is accessible. - Returns None if no accessible archives are found. + """Find the most recently downloaded GTFS archive on disk. + + Scans the GTFS archives directory for existing downloads and returns + the path to the most recent one based on directory name (date-based). + + Returns: + Path to the most recent accessible archive directory, or None if + no archives are found or accessible. """ try: # Get all directories in the GTFS archives folder @@ -122,11 +213,23 @@ def _find_most_recent_gtfs_archive() -> Optional[pathlib.Path]: @tracer.wrap() -def get_gtfs_archive(dateint: int): - """ - Determine which GTFS archive corresponds to the date. - Returns that archive folder, downloading if it doesn't yet exist. - Falls back to most recent available archive if permission errors occur. +def get_gtfs_archive(dateint: int) -> pathlib.Path: + """Get or download the GTFS archive for a specific date. + + Looks up which GTFS feed covers the specified date and returns the + path to that archive, downloading it if not already cached locally. + Includes logic to periodically check for newer archives based on + the configured refresh interval. + + Args: + dateint: Date as an integer in YYYYMMDD format. + + Returns: + Path to the GTFS archive directory. + + Raises: + ValueError: If no GTFS archive covers the specified date. + RuntimeError: If no archives are accessible and download fails. """ matches = pd.DataFrame() should_refetch = False @@ -211,9 +314,18 @@ def get_gtfs_archive(dateint: int): @tracer.wrap() def get_services(date: datetime.date, archive_dir: pathlib.Path) -> List[str]: - """ - Read calendar.txt to determine which services ran on the given date. - Also, incorporate exceptions from calendar_dates.txt for holidays, etc. + """Determine which service IDs were active on a given date. + + Reads calendar.txt and calendar_dates.txt from the GTFS archive to + determine which services ran on the specified date, accounting for + the day of week and any exceptions (holidays, special events, etc.). + + Args: + date: The date to look up services for. + archive_dir: Path to the GTFS archive directory. + + Returns: + List of active service IDs for the date. """ dateint = to_dateint(date) day_of_week = date.strftime("%A").lower() @@ -233,12 +345,20 @@ def get_services(date: datetime.date, archive_dir: pathlib.Path) -> List[str]: @tracer.wrap() def read_gtfs(date: datetime.date, routes_filter: Optional[Set[str]] = None) -> GtfsArchive: - """ - Given a date, this function will: - - Find the appropriate gtfs archive (downloading if necessary) - - Determine which services ran on that date - - Return three dataframes containing just the trips and stop_times that ran on that date, and corresponding stop information - If a route filter is applied, only return trips and stop information relevent to supplied routes. Otherwise, return all services. + """Load GTFS data for a specific date into a GtfsArchive. + + Downloads the appropriate GTFS archive if needed, determines which + services ran on the date, and loads the relevant trips and stop times + into a GtfsArchive object. + + Args: + date: The service date to load GTFS data for. + routes_filter: Optional set of route IDs to filter by. If provided, + only trips on these routes are included. + + Returns: + GtfsArchive containing trips, stop_times, and stops DataFrames + for the specified date and routes. """ dateint = to_dateint(date) logger.info(f"Reading GTFS archive for {date}") @@ -267,7 +387,22 @@ def read_gtfs(date: datetime.date, routes_filter: Optional[Set[str]] = None) -> @tracer.wrap() def batch_add_gtfs_headways(events_df: pd.DataFrame, trips: pd.DataFrame, stop_times: pd.DataFrame) -> pd.DataFrame: - """A batch implementation of add_gtfs_headways--this will probably never be used, but we include it just in case.""" + """Add scheduled headway and travel time data to multiple events. + + Batch version of add_gtfs_headways that processes multiple events + grouped by service date. Matches each event to the nearest scheduled + stop time and calculates headway and travel time from schedule. + + Args: + events_df: DataFrame containing multiple events with route_id, + direction_id, stop_id, trip_id, event_time, and service_date. + trips: DataFrame of GTFS trips for the relevant routes. + stop_times: DataFrame of GTFS stop times for the relevant trips. + + Returns: + DataFrame with original events augmented with scheduled_headway + and scheduled_tt columns. + """ results = [] # we have to do this day-by-day because gtfs changes so often @@ -334,19 +469,27 @@ def batch_add_gtfs_headways(events_df: pd.DataFrame, trips: pd.DataFrame, stop_t @tracer.wrap() def add_gtfs_headways(event_df: pd.DataFrame, all_trips: pd.DataFrame, all_stops: pd.DataFrame) -> pd.DataFrame: - """ - This will calculate scheduled headway and traveltime information - from gtfs for the routes we care about, and then match our actual - events to the scheduled values. This matching is done based on - time-of-day, so is not an excact match. Luckily, pandas helps us out - with merge_asof. - https://pandas.pydata.org/docs/reference/api/pandas.merge_asof.html - This function is ADAPTED from historical bus headway calculations - https://github.com/transitmatters/t-performance-dash/blob/ebecaca071b39d8140296545f2e5b287915bc60d/server/bus/gtfs_archive.py#L90 - - NB 1: event times are converted to pd timestamps in this fuction for pandas merge manipulation, - but will be converted back into datetime.datetime for serialization purposes. careful! - NB 2: ensure that all times are in US/Eastern! + """Add scheduled headway and travel time data to a single event. + + Matches the event to the nearest scheduled stop time using pandas + merge_asof for time-based matching. Calculates the scheduled headway + (time since previous scheduled arrival at this stop) and scheduled + travel time (time since trip start). + + Args: + event_df: DataFrame containing a single event row with route_id, + direction_id, stop_id, trip_id, event_time, and service_date. + all_trips: DataFrame of GTFS trips for the route. + all_stops: DataFrame of GTFS stop times for the route's trips. + + Returns: + DataFrame with the event augmented with scheduled_headway and + scheduled_tt columns. + + Note: + Event times are temporarily converted to pandas Timestamps for + merge operations. All times must be in US/Eastern timezone. + If event_df contains multiple rows, delegates to batch_add_gtfs_headways. """ # TODO: I think we need to worry about 114/116/117 headways? if len(event_df) > 1: @@ -415,6 +558,12 @@ def add_gtfs_headways(event_df: pd.DataFrame, all_trips: pd.DataFrame, all_stops def update_current_gtfs_archive_if_necessary(): + """Update the global GTFS archive if the service date has changed. + + Thread-safe function that checks if the cached GTFS archive is still + valid for the current service date and downloads a new one if needed. + Uses a lock to prevent concurrent updates. + """ global current_gtfs_archive global write_gtfs_archive_lock with write_gtfs_archive_lock: @@ -429,6 +578,14 @@ def update_current_gtfs_archive_if_necessary(): def get_current_gtfs_archive() -> GtfsArchive: + """Get the current GTFS archive, loading it if necessary. + + Returns the cached GTFS archive for the current service date. If no + archive is cached, triggers an update to load one. + + Returns: + The GtfsArchive for the current service date. + """ global current_gtfs_archive if current_gtfs_archive is None: update_current_gtfs_archive_if_necessary() @@ -437,11 +594,21 @@ def get_current_gtfs_archive() -> GtfsArchive: def update_gtfs_thread(): + """Background thread function to periodically update the GTFS archive. + + Runs in an infinite loop, checking every 60 seconds if the GTFS archive + needs to be updated for a new service date. + """ while True: update_current_gtfs_archive_if_necessary() time.sleep(60) def start_watching_gtfs(): + """Start the background GTFS update thread. + + Spawns a daemon thread that monitors the service date and updates + the cached GTFS archive when the date changes (around 3 AM). + """ gtfs_thread = Thread(target=update_gtfs_thread, name="update_gtfs") gtfs_thread.start() diff --git a/src/logger.py b/src/logger.py index ec2e2b3..8cf998f 100644 --- a/src/logger.py +++ b/src/logger.py @@ -1,11 +1,26 @@ +"""Logging configuration for Gobble. + +This module provides centralized logging setup with JSON formatting for +compatibility with Datadog log aggregation and parsing. +""" + import logging from pythonjsonlogger import jsonlogger -def set_up_logging(name: str): - logger = logging.getLogger(name) +def set_up_logging(name: str) -> logging.Logger: + """Configure and return a logger with JSON formatting. - # sets up logger to handle stack traces and other multi-line logs in a way that Datadog can parse + Creates a logger that outputs logs in JSON format, which enables proper + parsing of multi-line logs (such as stack traces) by Datadog. + + Args: + name: The name for the logger, typically __name__ of the calling module. + + Returns: + A configured logging.Logger instance with JSON formatting enabled. + """ + logger = logging.getLogger(name) logHandler = logging.StreamHandler() formatter = jsonlogger.JsonFormatter() logHandler.setFormatter(formatter) diff --git a/src/s3_upload.py b/src/s3_upload.py index 42c4ee8..ece86b6 100644 --- a/src/s3_upload.py +++ b/src/s3_upload.py @@ -1,3 +1,14 @@ +"""S3 upload functionality for syncing event data to AWS. + +This module handles uploading processed event data to the TransitMatters S3 bucket. +Files are compressed with gzip before upload to reduce storage costs and transfer time. + +Attributes: + S3_BUCKET: Name of the S3 bucket for storing event data. + LOCAL_DATA_TEMPLATE: Glob pattern for finding local event files by date. + S3_DATA_TEMPLATE: Template for generating S3 object keys from local paths. +""" + import datetime import glob import boto3 @@ -26,7 +37,14 @@ @tracer.wrap() def _compress_and_upload_file(fp: str): - """Compress a file in-memory and upload to S3.""" + """Compress a local file with gzip and upload it to S3. + + Reads the file, compresses it in memory, and uploads to S3 with + appropriate content headers for serving gzipped CSV data. + + Args: + fp: Absolute path to the local file to upload. + """ # generate output location rp = os.path.relpath(fp, DATA_DIR) s3_key = S3_DATA_TEMPLATE.format(relative_path=rp) @@ -43,7 +61,13 @@ def _compress_and_upload_file(fp: str): @tracer.wrap(service="gobble") def upload_todays_events_to_s3(): - """Upload today's events to the TM s3 bucket.""" + """Upload all event files for today's service date to S3. + + Finds all CSV files matching today's service date across all routes + and modes, compresses them, and uploads them to the TransitMatters + S3 bucket. This function is typically run periodically to sync + live data to the cloud. + """ start_time = time.time() logger.info("Beginning upload of recent events to s3.") diff --git a/src/timing.py b/src/timing.py index 3164417..f4891d9 100644 --- a/src/timing.py +++ b/src/timing.py @@ -1,10 +1,39 @@ +"""Performance timing utilities for debugging and profiling. + +This module provides decorators for measuring function execution time, +useful for identifying performance bottlenecks during development. +""" + +from collections.abc import Callable from functools import wraps from time import time from random import random +from typing import Any import numpy as np -def measure_time(report_frequency: float = 1.0, trail_length=1000): +def measure_time(report_frequency: float = 1.0, trail_length: int = 1000) -> Callable[..., Any]: + """Decorator factory for measuring and reporting function execution time. + + Creates a decorator that tracks execution times of the wrapped function + and periodically prints statistics including last, min, max, average, + and standard deviation of execution times. + + Args: + report_frequency: Probability (0.0 to 1.0) of printing stats after + each call. Defaults to 1.0 (always report). + trail_length: Maximum number of recent execution times to keep for + calculating statistics. Defaults to 1000. + + Returns: + A decorator function that wraps the target function with timing logic. + + Example: + >>> @measure_time(report_frequency=0.1) + ... def slow_function(): + ... time.sleep(1) + """ + def decorator(fn): exec_times = [] diff --git a/src/trip_state.py b/src/trip_state.py index b731df6..a5e6273 100644 --- a/src/trip_state.py +++ b/src/trip_state.py @@ -1,3 +1,16 @@ +"""Trip state management for tracking vehicle positions across events. + +This module maintains in-memory state for active trips, allowing the system +to detect arrivals and departures by comparing current events to previous +state. State is persisted to disk to survive restarts and is automatically +cleaned up based on age and service date boundaries. + +The state hierarchy is: +- TripsStateManager: Manages state across all routes (one per thread) +- RouteTripsState: Manages state for all trips on a single route +- TripState: State snapshot for a single trip (TypedDict) +""" + import json from datetime import date, datetime, timedelta from dataclasses import dataclass @@ -12,8 +25,21 @@ class TripState(TypedDict): - """ - Holds the current state of a single trip + """State snapshot for a single active trip. + + Captures the most recent known position and status of a vehicle on + a specific trip, used to detect arrival and departure events by + comparing successive updates. + + Attributes: + stop_sequence: The current stop sequence number (how far into the trip). + stop_id: The ID of the current or most recent stop. + updated_at: Timestamp when this state was last updated. + event_type: The last event type recorded ("ARR" or "DEP"). + vehicle_consist: Pipe-delimited car numbers for multi-car vehicles. + occupancy_status: Pipe-delimited occupancy status per car, if available. + occupancy_percentage: Pipe-delimited occupancy percentage per car + (currently only available on Orange Line). """ # How far into the trip are we? @@ -33,6 +59,17 @@ class TripState(TypedDict): def serialize_trip_state(trip_state: TripState) -> Dict[str, str]: + """Serialize a TripState for JSON storage. + + Converts the datetime field to ISO 8601 string format for JSON + serialization. + + Args: + trip_state: The TripState to serialize. + + Returns: + Dictionary with all fields, with updated_at as an ISO string. + """ return { **trip_state, "updated_at": trip_state["updated_at"].isoformat(), @@ -40,6 +77,16 @@ def serialize_trip_state(trip_state: TripState) -> Dict[str, str]: def deserialize_trip_state(trip_state: Dict[str, str]) -> TripState: + """Deserialize a TripState from JSON storage. + + Converts the ISO 8601 string back to a datetime object. + + Args: + trip_state: Dictionary loaded from JSON with updated_at as string. + + Returns: + TripState with updated_at as a datetime object. + """ return { **trip_state, "updated_at": datetime.fromisoformat(trip_state["updated_at"]), @@ -47,6 +94,15 @@ def deserialize_trip_state(trip_state: Dict[str, str]) -> TripState: def write_trips_state_file(route_id: str, state: "RouteTripsState") -> None: + """Persist route trip state to disk. + + Writes the current state for all trips on a route to a JSON file, + enabling recovery after restarts. + + Args: + route_id: The route identifier (used as filename). + state: The RouteTripsState object to persist. + """ trips_states_dir = DATA_DIR / "trip_states" trips_states_dir.mkdir(exist_ok=True) trip_file_path = trips_states_dir / f"{route_id}.json" @@ -59,7 +115,18 @@ def write_trips_state_file(route_id: str, state: "RouteTripsState") -> None: trip_file.write(json.dumps(file_contents)) -def read_trips_state_file(route_id: str) -> Dict[str, TripState]: +def read_trips_state_file(route_id: str) -> Optional[Dict]: + """Load route trip state from disk. + + Reads previously persisted state for a route, if it exists. + + Args: + route_id: The route identifier to load state for. + + Returns: + Dictionary with 'trip_states' and 'service_date' keys if the file + exists and is valid, None otherwise. + """ trip_file_path = DATA_DIR / "trip_states" / f"{route_id}.json" if trip_file_path.exists(): with open(trip_file_path, "r") as trip_file: @@ -82,8 +149,15 @@ def read_trips_state_file(route_id: str) -> Dict[str, TripState]: @dataclass class RouteTripsState: - """ - Manages the state for all trips on a route + """Manages trip state for all active trips on a single route. + + Handles loading, saving, and cleanup of trip states. Automatically + loads persisted state on initialization and cleans up stale entries. + + Attributes: + route_id: The MBTA route identifier. + service_date: The current service date for this state. + trips: Dictionary mapping trip_id to TripState. """ # Which route is this? @@ -94,6 +168,7 @@ class RouteTripsState: trips: Dict[str, TripState] = None def __post_init__(self): + """Initialize by loading persisted state or creating empty state.""" state_file = read_trips_state_file(self.route_id) if state_file: self.trips = state_file["trip_states"] @@ -105,6 +180,15 @@ def __post_init__(self): @tracer.wrap() def set_trip_state(self, trip_id: str, trip_state: TripState) -> None: + """Update the state for a trip. + + Performs cleanup of stale states before adding the new state, + then persists the updated state to disk. + + Args: + trip_id: The trip identifier to update. + trip_state: The new state for the trip. + """ # Do cleanup first, before adding the new trip self._cleanup_trip_states() # Now add the new trip - it won't be cleared by purge @@ -113,25 +197,35 @@ def set_trip_state(self, trip_id: str, trip_state: TripState) -> None: @tracer.wrap() def get_trip_state(self, trip_id: str) -> Optional[TripState]: + """Get the current state for a trip. + + Args: + trip_id: The trip identifier to look up. + + Returns: + A copy of the TripState if found, None otherwise. + """ trip = self.trips.get(trip_id) if trip: return {**trip} return None def _cleanup_trip_states(self) -> None: - """ - Clean up trip states to prevent memory/CPU issues. - We don't care about yesterday's trip states, or ones older than 5 hours. + """Clean up trip states to prevent memory and CPU issues. + + Removes states that are either from a previous service date or + older than 5 hours. Called before each state update. """ self._cleanup_stale_trip_states() self._purge_trips_state_if_overnight() @tracer.wrap() def _cleanup_stale_trip_states(self, max_age_hours: int = 5) -> None: - """ - Clean up stale trip states to prevent memory/CPU issues - We don't want to keep too many trip states around, so we'll clean them up periodically. - We'll keep the last 5 hours of trip states for each route at most. + """Remove trip states older than the specified age threshold. + + Args: + max_age_hours: Maximum age in hours for trip states. States + older than this are removed. Defaults to 5 hours. """ current_time = datetime.now(EASTERN_TIME) cutoff_time = current_time - timedelta(hours=max_age_hours) @@ -148,6 +242,11 @@ def _cleanup_stale_trip_states(self, max_age_hours: int = 5) -> None: logger.info(f"Cleaned up {len(stale_trips)} stale trip states for route {self.route_id}") def _purge_trips_state_if_overnight(self) -> None: + """Clear all trip states if the service date has changed. + + Called at the 3 AM service date boundary to start fresh for + the new service day. + """ current_service_date = get_current_service_date() if self.service_date < current_service_date: logger.info(f"Purging trip state for route {self.route_id} on new service date {current_service_date}") @@ -156,20 +255,44 @@ def _purge_trips_state_if_overnight(self) -> None: class TripsStateManager: - """ - Manages the state for trips on many routes - (typically all routes on each process_event thread) + """Top-level manager for trip state across multiple routes. + + Each event processing thread creates one TripsStateManager to track + state for all routes it handles. Lazily creates RouteTripsState + instances as needed. + + Attributes: + route_states: Dictionary mapping route_id to RouteTripsState. """ def __init__(self): + """Initialize an empty state manager.""" self.route_states = {} def set_trip_state(self, route_id: str, trip_id: str, trip_state: TripState) -> None: + """Update the state for a trip on a route. + + Creates the RouteTripsState if this is the first trip for the route. + + Args: + route_id: The route identifier. + trip_id: The trip identifier. + trip_state: The new state for the trip. + """ if route_id not in self.route_states: self.route_states[route_id] = RouteTripsState(route_id) self.route_states[route_id].set_trip_state(trip_id, trip_state) def get_trip_state(self, route_id: str, trip_id: str) -> Optional[TripState]: + """Get the current state for a trip on a route. + + Args: + route_id: The route identifier. + trip_id: The trip identifier. + + Returns: + The TripState if found, None if the route or trip is unknown. + """ if route_id not in self.route_states: return None return self.route_states[route_id].get_trip_state(trip_id) diff --git a/src/util.py b/src/util.py index 779fd29..401c8e8 100644 --- a/src/util.py +++ b/src/util.py @@ -1,3 +1,13 @@ +"""Utility functions for date/time handling and path generation. + +This module provides helper functions for converting dates and timestamps, +generating output directory paths, and handling the MBTA's service date +concept (where dates roll over at 3 AM instead of midnight). + +Attributes: + EASTERN_TIME: ZoneInfo object for US/Eastern timezone. +""" + from datetime import date, datetime, timedelta from zoneinfo import ZoneInfo import os @@ -13,11 +23,36 @@ def to_dateint(date: date) -> int: - """turn date into 20220615 e.g.""" + """Convert a date to an integer in YYYYMMDD format. + + Args: + date: A date object to convert. + + Returns: + Integer representation of the date (e.g., 20220615 for June 15, 2022). + """ return int(str(date).replace("-", "")) def output_dir_path(route_id: str, direction_id: str, stop_id: str, ts: datetime) -> str: + """Generate the output directory path for storing event data. + + Creates a hierarchical path structure organized by transit mode, route, + direction, stop, and date. The path format varies by mode to accommodate + different naming conventions. + + Args: + route_id: The MBTA route identifier. + direction_id: The direction of travel (0 or 1). + stop_id: The stop identifier. + ts: Timestamp of the event, used to determine the service date. + + Returns: + A relative path string for storing event data, e.g., + "daily-rapid-data/70063/Year=2022/Month=6/Day=15" for rapid transit or + "daily-cr-data/CR-Fairmount_0_DB-2205-01/Year=2022/Month=6/Day=15" for + commuter rail. + """ date = service_date(ts) # commuter rail lines have dashes in both route id and stop id, so use underscores as delimiter @@ -46,6 +81,20 @@ def output_dir_path(route_id: str, direction_id: str, stop_id: str, ts: datetime @tracer.wrap() def service_date(ts: datetime) -> date: + """Convert a timestamp to an MBTA service date. + + The MBTA considers a service day to run from 3 AM to 3 AM the next day, + rather than midnight to midnight. This function returns the appropriate + service date for a given timestamp. + + Args: + ts: A datetime object representing the event time. If timezone-naive, + it is assumed to be in Eastern Time. + + Returns: + The service date as a date object. Events between midnight and 3 AM + are attributed to the previous calendar day's service. + """ # In practice a None TZ is UTC, but we want to be explicit # In many places we have an implied eastern ts = ts.replace(tzinfo=EASTERN_TIME) @@ -58,10 +107,13 @@ def service_date(ts: datetime) -> date: def get_current_service_date() -> date: - """ - Get the current service date. - We cache the service date for the current hour to prevent - unnecessary timezone conversions, to save CPU. + """Get the current MBTA service date with hourly caching. + + Returns the service date for the current time, caching the result for + the current hour to avoid repeated timezone conversions. + + Returns: + The current service date as a date object. """ global _service_date_cache, _cache_hour now = datetime.now(EASTERN_TIME) @@ -72,4 +124,12 @@ def get_current_service_date() -> date: def service_date_iso8601(ts: datetime) -> str: + """Convert a timestamp to an ISO 8601 formatted service date string. + + Args: + ts: A datetime object representing the event time. + + Returns: + The service date in ISO 8601 format (e.g., "2022-06-15"). + """ return service_date(ts).isoformat() diff --git a/uv.lock b/uv.lock index 6678e81..ac05b5e 100644 --- a/uv.lock +++ b/uv.lock @@ -1,14 +1,36 @@ version = 1 -revision = 3 +revision = 1 requires-python = "==3.13.*" [[package]] name = "ansicon" version = "1.89.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b6/e2/1c866404ddbd280efedff4a9f15abfe943cb83cde6e895022370f3a61f85/ansicon-1.89.0.tar.gz", hash = "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1", size = 67312, upload-time = "2019-04-29T20:23:57.314Z" } 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