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296 lines
8.2 KiB
Python
Executable File
296 lines
8.2 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Anki flashcard generator for Warsaw metro stations.
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Generates Anki-compatible flashcard decks with maps showing individual
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Warsaw metro stations highlighted on a city map.
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"""
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from __future__ import annotations
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import argparse
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import hashlib
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from io import BytesIO
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from pathlib import Path
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import random
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import sys
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from typing import TYPE_CHECKING
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sys.path.insert(0, str(Path(__file__).parent.parent))
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import genanki
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from geo_data import get_warsaw_metro_stations
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import geopandas as gpd
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import matplotlib.pyplot as plt
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if TYPE_CHECKING:
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from collections.abc import Sequence
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from matplotlib.figure import Figure
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# Station marker color
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STATION_COLOR = "#E74C3C"
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def load_warsaw_boundary() -> gpd.GeoDataFrame:
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"""Load Warsaw boundary from districts GeoJSON.
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Returns:
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GeoDataFrame with Warsaw boundary.
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"""
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districts_path = (
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Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
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)
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if districts_path.exists():
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warsaw_gdf = gpd.read_file(districts_path)
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warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
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if len(warsaw_boundary) == 0:
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warsaw_boundary = gpd.GeoDataFrame(
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geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
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)
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return warsaw_boundary
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msg = "Warsaw boundary data not found"
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raise FileNotFoundError(msg)
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def create_station_map(
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station_gdf: gpd.GeoDataFrame,
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warsaw_boundary: gpd.GeoDataFrame,
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) -> Figure:
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"""Create a map showing Warsaw with one metro station highlighted.
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Args:
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station_gdf: GeoDataFrame with the station point.
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warsaw_boundary: GeoDataFrame with Warsaw boundary.
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Returns:
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A matplotlib Figure object.
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"""
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fig, ax = plt.subplots(figsize=(10, 10))
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ax.set_aspect("equal")
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ax.axis("off")
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fig.patch.set_alpha(0)
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ax.patch.set_alpha(0)
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# Plot Warsaw as a plain gray shape
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warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
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warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
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# Plot the station as a large dot
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station_gdf.plot(
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ax=ax,
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color=STATION_COLOR,
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markersize=300,
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marker="o",
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alpha=0.9,
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edgecolor="#1A1A1A",
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linewidth=2,
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)
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# Set bounds to Warsaw
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bounds = warsaw_boundary.total_bounds
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ax.set_xlim(bounds[0], bounds[2])
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ax.set_ylim(bounds[1], bounds[3])
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return fig
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def generate_station_image_bytes(
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station_gdf: gpd.GeoDataFrame,
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warsaw_boundary: gpd.GeoDataFrame,
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) -> bytes:
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"""Generate a station map image as bytes."""
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fig = create_station_map(station_gdf, warsaw_boundary)
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buf = BytesIO()
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fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
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plt.close(fig)
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buf.seek(0)
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return buf.read()
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def generate_anki_package(
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stations: gpd.GeoDataFrame,
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warsaw_boundary: gpd.GeoDataFrame,
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deck_name: str = "Warsaw Metro Stations",
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) -> genanki.Package:
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"""Generate Anki package for Warsaw metro stations."""
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model_id_hash = hashlib.md5(f"warsaw_metro_{deck_name}".encode()) # noqa: S324
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model_id = int(model_id_hash.hexdigest()[:8], 16)
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card_css = """
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.card {
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font-family: Arial, sans-serif;
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font-size: 24px;
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text-align: center;
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color: #333;
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background-color: #fff;
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}
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.card.night_mode {
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color: #eee;
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background-color: #2f2f2f;
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}
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.map-container {
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 80vh;
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}
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.map-container img {
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max-width: 100%;
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max-height: 80vh;
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object-fit: contain;
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}
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.answer-text {
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font-size: 32px;
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font-weight: bold;
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margin-top: 20px;
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color: #2C3E50;
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}
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.line-info {
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font-size: 24px;
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margin-top: 10px;
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color: #666;
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}
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.card.night_mode .answer-text {
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color: #ECF0F1;
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}
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.card.night_mode .line-info {
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color: #AAA;
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}
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"""
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my_model = genanki.Model(
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model_id,
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"Warsaw Metro Model",
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fields=[
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{"name": "StationMap"},
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{"name": "StationName"},
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{"name": "Line"},
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],
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templates=[
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{
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"name": "Card 1",
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"qfmt": '<div class="map-container">{{StationMap}}</div>',
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"afmt": '<div class="map-container">{{StationMap}}</div>'
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'<hr id="answer">'
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'<div class="answer-text">{{StationName}}</div>'
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'<div class="line-info">{{Line}}</div>',
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},
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],
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css=card_css,
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)
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deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
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my_deck = genanki.Deck(deck_id, deck_name)
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media_files = []
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for _, row in stations.iterrows():
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station_name = row["name"]
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line = row.get("line", "")
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station_gdf = gpd.GeoDataFrame([row], crs=stations.crs)
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image_data = generate_station_image_bytes(station_gdf, warsaw_boundary)
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filename = f"metro_{station_name.replace(' ', '_').replace('/', '_')}.png"
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note = genanki.Note(
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model=my_model,
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fields=[f'<img src="{filename}">', station_name, line],
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tags=["geography", "warsaw", "metro"],
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)
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my_deck.add_note(note)
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temp_path = Path(f"/tmp/{filename}") # noqa: S108
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temp_path.write_bytes(image_data)
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media_files.append(str(temp_path))
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package = genanki.Package(my_deck)
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package.media_files = media_files
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return package
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def main(argv: Sequence[str] | None = None) -> int:
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"""Main entry point."""
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parser = argparse.ArgumentParser(
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description="Generate Anki flashcards for Warsaw metro stations.",
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)
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parser.add_argument(
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"--output",
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"-o",
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type=str,
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default=None,
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help="Output file path (default: warsaw_metro.apkg)",
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)
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parser.add_argument(
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"--deck-name",
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"-d",
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type=str,
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default="Warsaw Metro Stations",
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help="Name for the Anki deck",
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)
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parser.add_argument(
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"--preview",
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"-p",
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type=str,
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default=None,
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help="Export preview images to specified directory",
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)
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parser.add_argument(
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"--preview-count",
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type=int,
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default=5,
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help="Number of preview images to export (default: 5)",
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)
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args = parser.parse_args(argv)
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output_path = Path(args.output) if args.output else Path("warsaw_metro.apkg")
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try:
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sys.stdout.write("Loading metro station data...\n")
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stations = get_warsaw_metro_stations()
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warsaw_boundary = load_warsaw_boundary()
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num_stations = len(stations)
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sys.stdout.write(
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f"Generating flashcards for {num_stations} metro stations...\n"
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)
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package = generate_anki_package(stations, warsaw_boundary, args.deck_name)
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package.write_to_file(str(output_path))
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# Export preview images if requested
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if args.preview:
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preview_dir = Path(args.preview)
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preview_dir.mkdir(parents=True, exist_ok=True)
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preview_stations = list(stations.iterrows())[: args.preview_count]
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sys.stdout.write(
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f"Exporting {len(preview_stations)} preview images "
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f"to {preview_dir}...\n"
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)
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for _, row in preview_stations:
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station_name = row["name"]
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station_gdf = gpd.GeoDataFrame([row], crs=stations.crs)
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image_data = generate_station_image_bytes(station_gdf, warsaw_boundary)
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safe_name = station_name.replace(" ", "_").replace("/", "_")
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preview_path = preview_dir / f"{safe_name}.png"
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preview_path.write_bytes(image_data)
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sys.stdout.write(f" Saved: {preview_path.name}\n")
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sys.stdout.write("\n")
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sys.stdout.write("=" * 60 + "\n")
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sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
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sys.stdout.write("=" * 60 + "\n")
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sys.stdout.write(f"Stations: {num_stations}\n")
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sys.stdout.write(f"Output file: {output_path.absolute()}\n")
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if args.preview:
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sys.stdout.write(f"Preview images: {args.preview}\n")
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except (OSError, ValueError, RuntimeError) as e:
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sys.stderr.write(f"Error: {e}\n")
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return 1
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else:
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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