feat: comprehensive Poland geography cards

This commit is contained in:
Krzysztof kuhy Rudnicki 2026-01-08 17:01:54 +01:00
parent 46309bbe78
commit 6616655c97
25 changed files with 3716 additions and 0 deletions

12
.gitignore vendored
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@ -258,3 +258,15 @@ python_pkg/music_gen/output/
python_pkg/screen_locker/sick_day_state.json
python_pkg/screen_locker/workout_log.json.bak
preview_images
# Anki generated packages (large binary files)
*.apkg
# Geographic data cache (can be regenerated)
python_pkg/geo_cache/
# Local venvs in subpackages
python_pkg/*/.venv/
python_pkg/*/cache/
# Large geojson files that can be downloaded
python_pkg/warsaw_districts/warszawa-dzielnice.geojson

1056
python_pkg/geo_data.py Normal file

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"""Polish gminy (municipalities) Anki flashcard generator."""

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#!/usr/bin/env python3
"""Anki flashcard generator for Polish gminy (municipalities).
Generates Anki-compatible flashcard decks with maps showing individual
Polish municipalities highlighted on a country map.
Uses multiprocessing to parallelize image generation for ~4x speedup.
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
import multiprocessing as mp
from pathlib import Path
import random
import sys
import tempfile
from typing import TYPE_CHECKING
import genanki
import geopandas as gpd
import matplotlib as mpl
mpl.use("Agg") # Non-interactive backend for multiprocessing
import matplotlib.pyplot as plt
sys.path.insert(0, str(Path(__file__).parent.parent))
from geo_data import get_poland_boundary, get_polish_gminy
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# 2500 colors for gminy (cycling through)
GMINA_COLORS = [
"#E74C3C",
"#3498DB",
"#2ECC71",
"#9B59B6",
"#F39C12",
"#1ABC9C",
"#E91E63",
"#00BCD4",
"#8BC34A",
"#FF5722",
"#673AB7",
"#FFEB3B",
"#795548",
"#607D8B",
"#CDDC39",
"#FF9800",
"#4CAF50",
"#03A9F4",
"#F44336",
"#009688",
"#3F51B5",
"#FFC107",
"#9E9E9E",
"#00E676",
"#FF4081",
"#448AFF",
"#69F0AE",
"#FFD740",
"#40C4FF",
"#B388FF",
"#EA80FC",
"#82B1FF",
"#A7FFEB",
"#FFFF8D",
"#FF80AB",
"#536DFE",
"#64FFDA",
"#FFE57F",
"#80D8FF",
"#B9F6CA",
"#CF6679",
"#BB86FC",
"#03DAC6",
"#018786",
"#6200EE",
"#3700B3",
"#B00020",
"#FF0266",
"#C51162",
"#AA00FF",
]
def create_gmina_map(
gmina_name: str,
gmina_gdf: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
color_map: dict[str, str],
) -> Figure:
"""Create a map showing Poland with one gmina highlighted."""
fig, ax = plt.subplots(figsize=(10, 12))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Poland as a plain gray shape
poland_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
poland_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=1)
# Get pre-computed color
fill_color = color_map.get(gmina_name, GMINA_COLORS[0])
# Plot the highlighted gmina
gmina_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
gmina_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=3)
# Set bounds to Poland
bounds = poland_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_gmina_image_bytes(
gmina_name: str,
gmina_gdf: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
color_map: dict[str, str],
) -> bytes:
"""Generate a gmina map image as bytes."""
fig = create_gmina_map(gmina_name, gmina_gdf, poland_boundary, color_map)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def _build_color_map(names: list[str]) -> dict[str, str]:
"""Pre-compute color mapping for all names.
Args:
names: List of all gmina names.
Returns:
Dictionary mapping name to color.
"""
sorted_names = sorted(names)
return {
name: GMINA_COLORS[i % len(GMINA_COLORS)] for i, name in enumerate(sorted_names)
}
# Global variables for multiprocessing (set via initializer)
_mp_poland_boundary: gpd.GeoDataFrame | None = None
_mp_color_map: dict[str, str] | None = None
def _init_worker(
poland_geojson: str,
color_map: dict[str, str],
) -> None:
"""Initialize worker process with shared data."""
global _mp_poland_boundary, _mp_color_map # noqa: PLW0603
_mp_poland_boundary = gpd.read_file(poland_geojson)
_mp_color_map = color_map
def _render_single_gmina(args: tuple[str, str]) -> tuple[str, bytes]:
"""Render a single gmina image (worker function).
Args:
args: Tuple of (gmina_name, gmina_geojson_str).
Returns:
Tuple of (gmina_name, image_bytes).
"""
gmina_name, gmina_geojson = args
gmina_gdf = gpd.read_file(gmina_geojson)
assert _mp_poland_boundary is not None # noqa: S101
assert _mp_color_map is not None # noqa: S101
image_data = generate_gmina_image_bytes(
gmina_name, gmina_gdf, _mp_poland_boundary, _mp_color_map
)
return gmina_name, image_data
def generate_anki_package(
gminy: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
deck_name: str = "Polish Gminy",
) -> genanki.Package:
"""Generate Anki package for Polish gminy."""
model_id_hash = hashlib.md5(f"polish_gminy_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Polish Gmina Model",
fields=[
{"name": "GminaMap"},
{"name": "GminaName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{GminaMap}}</div>',
"afmt": '<div class="map-container">{{GminaMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{GminaName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
# Pre-compute color mapping once (avoids O(n²) sorting)
color_map = _build_color_map(gminy["name"].tolist())
# Prepare data for parallel processing
# Serialize GeoDataFrames to GeoJSON strings for pickling
with tempfile.NamedTemporaryFile(suffix=".geojson", delete=False) as f:
poland_boundary.to_file(f.name, driver="GeoJSON")
poland_geojson_path = f.name
# Prepare work items: (gmina_name, gmina_geojson_str)
work_items: list[tuple[str, str]] = []
for _, row in gminy.iterrows():
gmina_gdf = gpd.GeoDataFrame([row], crs=gminy.crs)
gmina_geojson = gmina_gdf.to_json()
work_items.append((row["name"], gmina_geojson))
# Use multiprocessing for parallel rendering
num_workers = min(mp.cpu_count(), 8)
sys.stdout.write(
f"Rendering {len(work_items)} images using {num_workers} workers...\n"
)
results: dict[str, bytes] = {}
with mp.Pool(
num_workers,
initializer=_init_worker,
initargs=(poland_geojson_path, color_map),
) as pool:
for i, (gmina_name, image_data) in enumerate(
pool.imap_unordered(_render_single_gmina, work_items)
):
results[gmina_name] = image_data
if (i + 1) % 100 == 0:
sys.stdout.write(f" Rendered {i + 1}/{len(work_items)}...\n")
# Clean up temp file
Path(poland_geojson_path).unlink(missing_ok=True)
# Create notes from results
for _, row in gminy.iterrows():
gmina_name = row["name"]
image_data = results[gmina_name]
filename = f"gmina_{gmina_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', gmina_name],
tags=["geography", "poland", "gminy"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Polish gminy.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: polish_gminy.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Polish Gminy",
help="Name for the Anki deck",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("polish_gminy.apkg")
try:
sys.stdout.write("Loading gminy data...\n")
gminy = get_polish_gminy()
poland_boundary = get_poland_boundary()
num_gminy = len(gminy)
sys.stdout.write(f"Generating flashcards for {num_gminy} gminy...\n")
sys.stdout.write("This will take a while for ~2500 gminy...\n")
package = generate_anki_package(gminy, poland_boundary, args.deck_name)
package.write_to_file(str(output_path))
# Export preview images if requested
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_gminy = list(gminy.iterrows())[: args.preview_count]
# Pre-compute color mapping for previews
color_map = _build_color_map(gminy["name"].tolist())
sys.stdout.write(
f"Exporting {len(preview_gminy)} preview images "
f"to {preview_dir}...\n"
)
for _, row in preview_gminy:
gmina_name = row["name"]
gmina_gdf = gpd.GeoDataFrame([row], crs=gminy.crs)
image_data = generate_gmina_image_bytes(
gmina_name, gmina_gdf, poland_boundary, color_map
)
safe_name = gmina_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name}\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Gminy: {num_gminy}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())

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python_pkg/polish_gminy/run.sh Executable file
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#!/bin/bash
# Script to generate Polish Gminy Anki deck
# WARNING: This will take a long time (~2500 gminy)
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Polish Gminy Anki Generator ==="
echo "WARNING: This may take a very long time (fetching ~2500 gminy)"
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m polish_gminy_anki --output polish_gminy.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/polish_gminy.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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"""Polish powiaty (counties) Anki flashcard generator."""

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#!/usr/bin/env python3
"""Anki flashcard generator for Polish powiaty (counties).
Generates Anki-compatible flashcard decks with maps showing individual
Polish counties highlighted on a country map.
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
from pathlib import Path
import random
import sys
from typing import TYPE_CHECKING
import genanki
import geopandas as gpd
import matplotlib.pyplot as plt
sys.path.insert(0, str(Path(__file__).parent.parent))
from geo_data import get_poland_boundary, get_polish_powiaty
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# 400 distinct colors for powiaty (cycling through)
POWIAT_COLORS = [
"#E74C3C",
"#3498DB",
"#2ECC71",
"#9B59B6",
"#F39C12",
"#1ABC9C",
"#E91E63",
"#00BCD4",
"#8BC34A",
"#FF5722",
"#673AB7",
"#FFEB3B",
"#795548",
"#607D8B",
"#CDDC39",
"#FF9800",
"#4CAF50",
"#03A9F4",
"#F44336",
"#009688",
"#3F51B5",
"#FFC107",
"#9E9E9E",
"#00E676",
"#FF4081",
"#448AFF",
"#69F0AE",
"#FFD740",
"#40C4FF",
"#B388FF",
"#EA80FC",
"#82B1FF",
"#A7FFEB",
"#FFFF8D",
"#FF80AB",
"#536DFE",
"#64FFDA",
"#FFE57F",
"#80D8FF",
"#B9F6CA",
"#CF6679",
"#BB86FC",
"#03DAC6",
"#018786",
"#6200EE",
"#3700B3",
"#B00020",
"#FF0266",
"#C51162",
"#AA00FF",
]
def create_powiat_map(
powiat_name: str,
powiat_gdf: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
all_powiaty: gpd.GeoDataFrame,
) -> Figure:
"""Create a map showing Poland with one powiat highlighted."""
fig, ax = plt.subplots(figsize=(10, 12))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Poland as a plain gray shape
poland_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
poland_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=1)
# Assign color based on sorted names
sorted_names = sorted(all_powiaty["nazwa"].tolist())
color_idx = sorted_names.index(powiat_name) % len(POWIAT_COLORS)
fill_color = POWIAT_COLORS[color_idx]
# Plot the highlighted powiat
powiat_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
powiat_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=3)
# Set bounds to Poland
bounds = poland_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_powiat_image_bytes(
powiat_name: str,
powiat_gdf: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
all_powiaty: gpd.GeoDataFrame,
) -> bytes:
"""Generate a powiat map image as bytes."""
fig = create_powiat_map(powiat_name, powiat_gdf, poland_boundary, all_powiaty)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def generate_anki_package(
powiaty: gpd.GeoDataFrame,
poland_boundary: gpd.GeoDataFrame,
deck_name: str = "Polish Powiaty",
) -> genanki.Package:
"""Generate Anki package for Polish powiaty."""
model_id_hash = hashlib.md5(f"polish_powiaty_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Polish Powiat Model",
fields=[
{"name": "PowiatMap"},
{"name": "PowiatName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{PowiatMap}}</div>',
"afmt": '<div class="map-container">{{PowiatMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{PowiatName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
for _, row in powiaty.iterrows():
powiat_name = row["nazwa"]
powiat_gdf = gpd.GeoDataFrame([row], crs=powiaty.crs)
image_data = generate_powiat_image_bytes(
powiat_name, powiat_gdf, poland_boundary, powiaty
)
filename = f"powiat_{powiat_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', powiat_name],
tags=["geography", "poland", "powiaty"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Polish powiaty.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: polish_powiaty.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Polish Powiaty",
help="Name for the Anki deck",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("polish_powiaty.apkg")
try:
sys.stdout.write("Loading powiaty data...\n")
powiaty = get_polish_powiaty()
poland_boundary = get_poland_boundary()
num_powiaty = len(powiaty)
sys.stdout.write(f"Generating flashcards for {num_powiaty} powiaty...\n")
package = generate_anki_package(powiaty, poland_boundary, args.deck_name)
package.write_to_file(str(output_path))
# Export preview images if requested
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_powiaty = list(powiaty.iterrows())[: args.preview_count]
sys.stdout.write(
f"Exporting {len(preview_powiaty)} preview images "
f"to {preview_dir}...\n"
)
for _, row in preview_powiaty:
powiat_name = row["nazwa"]
powiat_gdf = gpd.GeoDataFrame([row], crs=powiaty.crs)
image_data = generate_powiat_image_bytes(
powiat_name, powiat_gdf, poland_boundary, powiaty
)
safe_name = powiat_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name}\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Powiaty: {num_powiaty}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())

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#!/bin/bash
# Script to generate Polish Powiaty Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Polish Powiaty Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m polish_powiaty_anki --output polish_powiaty.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/polish_powiaty.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>All Preview Images</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; background: #f5f5f5; }
h1 { color: #333; }
h2 { color: #666; margin-top: 30px; border-bottom: 2px solid #ddd; padding-bottom: 10px; }
.gallery { display: flex; flex-wrap: wrap; gap: 20px; }
.card { background: white; padding: 15px; border-radius: 8px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }
.card img { max-width: 300px; max-height: 300px; object-fit: contain; }
.card p { margin-top: 10px; text-align: center; font-weight: bold; color: #333; }
</style>
</head>
<body>
<h1>🗺️ Anki Geography Cards - Preview Images</h1>
<h2>🛣️ Warsaw Streets (Top 5 Longest)</h2>
<div class="gallery">
<div class="card"><img src="warsaw_streets/preview_images/Wał_Miedzeszyński.png"><p>Wał Miedzeszyński (27.8km)</p></div>
<div class="card"><img src="warsaw_streets/preview_images/Puławska.png"><p>Puławska (25.3km)</p></div>
<div class="card"><img src="warsaw_streets/preview_images/Aleje_Jerozolimskie.png"><p>Aleje Jerozolimskie (22.2km)</p></div>
<div class="card"><img src="warsaw_streets/preview_images/Modlińska.png"><p>Modlińska (19.2km)</p></div>
<div class="card"><img src="warsaw_streets/preview_images/Patriotów.png"><p>Patriotów (15.9km)</p></div>
</div>
<h2>🚇 Warsaw Metro Stations</h2>
<div class="gallery">
<div class="card"><img src="warsaw_metro/preview_images/Ratusz-Arsenał.png"><p>Ratusz-Arsenał</p></div>
<div class="card"><img src="warsaw_metro/preview_images/Marymont.png"><p>Marymont</p></div>
<div class="card"><img src="warsaw_metro/preview_images/Stare_Bielany.png"><p>Stare Bielany</p></div>
<div class="card"><img src="warsaw_metro/preview_images/Wawrzyszew.png"><p>Wawrzyszew</p></div>
<div class="card"><img src="warsaw_metro/preview_images/Młociny.png"><p>Młociny</p></div>
</div>
<h2>🌉 Warsaw Bridges</h2>
<div class="gallery">
<div class="card"><img src="warsaw_bridges/preview_images/Most_Siekierkowski.png"><p>Most Siekierkowski</p></div>
<div class="card"><img src="warsaw_bridges/preview_images/Most_Świętokrzyski.png"><p>Most Świętokrzyski</p></div>
<div class="card"><img src="warsaw_bridges/preview_images/Most_Generała_Stefana_Grota-Roweckiego.png"><p>Most Grota-Roweckiego</p></div>
<div class="card"><img src="warsaw_bridges/preview_images/Most_Marii_Skłodowskiej-Curie.png"><p>Most M. Skłodowskiej-Curie</p></div>
<div class="card"><img src="warsaw_bridges/preview_images/Most_Anny_Jagiellonki.png"><p>Most Anny Jagiellonki</p></div>
</div>
<h2>🏛️ Warsaw Landmarks</h2>
<div class="gallery">
<div class="card"><img src="warsaw_landmarks/preview_images/Pomnik_Kościuszkowców.png"><p>Pomnik Kościuszkowców</p></div>
<div class="card"><img src="warsaw_landmarks/preview_images/Pomnik_Państwa_Podziemnego_i_AK.png"><p>Pomnik Państwa Podziemnego i AK</p></div>
<div class="card"><img src="warsaw_landmarks/preview_images/Muzeum_Etnograficzne.png"><p>Muzeum Etnograficzne</p></div>
<div class="card"><img src="warsaw_landmarks/preview_images/Żydowski_Instytut_Historyczny.png"><p>Żydowski Instytut Historyczny</p></div>
<div class="card"><img src="warsaw_landmarks/preview_images/Muzeum_Marii_Skłodowskiej-Curie.png"><p>Muzeum M. Skłodowskiej-Curie</p></div>
</div>
<h2>🏘️ Warsaw Osiedla</h2>
<div class="gallery">
<div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Centrum.png"><p>Grochów-Centrum</p></div>
<div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Kinowa.png"><p>Grochów-Kinowa</p></div>
<div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Południowy.png"><p>Grochów-Południowy</p></div>
<div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Północny.png"><p>Grochów-Północny</p></div>
<div class="card"><img src="warsaw_osiedla/preview_images/Przyczółek_Grochowski.png"><p>Przyczółek Grochowski</p></div>
</div>
<h2>🗺️ Polish Powiaty</h2>
<div class="gallery">
<div class="card"><img src="polish_powiaty/preview_images/powiat_ropczycko-sędziszowski.png"><p>Powiat Ropczycko-Sędziszowski</p></div>
<div class="card"><img src="polish_powiaty/preview_images/powiat_łosicki.png"><p>Powiat Łosicki</p></div>
<div class="card"><img src="polish_powiaty/preview_images/powiat_piaseczyński.png"><p>Powiat Piaseczyński</p></div>
<div class="card"><img src="polish_powiaty/preview_images/powiat_radomski.png"><p>Powiat Radomski</p></div>
<div class="card"><img src="polish_powiaty/preview_images/powiat_sierpecki.png"><p>Powiat Sierpecki</p></div>
</div>
<h2>🏙️ Warsaw Districts</h2>
<div class="gallery">
<div class="card"><img src="warsaw_districts/preview_images/Śródmieście.png"><p>Śródmieście</p></div>
<div class="card"><img src="warsaw_districts/preview_images/Mokotów.png"><p>Mokotów</p></div>
<div class="card"><img src="warsaw_districts/preview_images/Praga_Północ.png"><p>Praga Północ</p></div>
<div class="card"><img src="warsaw_districts/preview_images/Praga_Południe.png"><p>Praga Południe</p></div>
<div class="card"><img src="warsaw_districts/preview_images/Wola.png"><p>Wola</p></div>
</div>
</body>
</html>

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"""Warsaw bridges Anki flashcard generator."""

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#!/bin/bash
# Script to generate Warsaw Bridges Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Warsaw Bridges Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m warsaw_bridges_anki --output warsaw_bridges.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_bridges.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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#!/usr/bin/env python3
"""Anki flashcard generator for Warsaw bridges over the Vistula.
Generates Anki-compatible flashcard decks with maps showing individual
Warsaw bridges highlighted on a city map.
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
from pathlib import Path
import random
import sys
from typing import TYPE_CHECKING
import genanki
import geopandas as gpd
import matplotlib.pyplot as plt
# Import shared data module
sys.path.insert(0, str(Path(__file__).parent.parent))
from geo_data import get_vistula_river, get_warsaw_bridges
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# Bridge color
BRIDGE_COLOR = "#E74C3C" # Red
RIVER_COLOR = "#3498DB" # Blue
def load_warsaw_boundary() -> gpd.GeoDataFrame:
"""Load Warsaw boundary from districts GeoJSON.
Returns:
GeoDataFrame with Warsaw boundary.
Raises:
FileNotFoundError: If boundary data file not found.
"""
districts_path = (
Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
)
if districts_path.exists():
warsaw_gdf = gpd.read_file(districts_path)
warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
if len(warsaw_boundary) == 0:
warsaw_boundary = gpd.GeoDataFrame(
geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
)
return warsaw_boundary
msg = "Warsaw boundary data not found"
raise FileNotFoundError(msg)
def create_bridge_map(
bridge_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
vistula: gpd.GeoDataFrame,
) -> Figure:
"""Create a map showing Warsaw with one bridge highlighted.
Args:
bridge_gdf: GeoDataFrame with the bridge to highlight.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
vistula: GeoDataFrame with Vistula river geometry.
Returns:
Matplotlib figure with the map.
"""
fig, ax = plt.subplots(figsize=(10, 10))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Warsaw as a plain gray shape
warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
# Plot Vistula river
vistula.plot(ax=ax, color=RIVER_COLOR, linewidth=3, alpha=0.7)
# Plot the bridge
bridge_gdf.plot(ax=ax, color=BRIDGE_COLOR, linewidth=6, alpha=0.9)
# Set bounds to Warsaw
bounds = warsaw_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_bridge_image_bytes(
bridge_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
vistula: gpd.GeoDataFrame,
) -> bytes:
"""Generate a bridge map image as bytes.
Args:
bridge_gdf: GeoDataFrame with the bridge.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
vistula: GeoDataFrame with Vistula river.
Returns:
PNG image bytes.
"""
fig = create_bridge_map(bridge_gdf, warsaw_boundary, vistula)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def generate_anki_package(
bridges: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
vistula: gpd.GeoDataFrame,
deck_name: str = "Warsaw Bridges",
) -> genanki.Package:
"""Generate Anki package for Warsaw bridges.
Args:
bridges: GeoDataFrame with all bridges.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
vistula: GeoDataFrame with Vistula river.
deck_name: Name for the Anki deck.
Returns:
Generated Anki package.
"""
model_id_hash = hashlib.md5(f"warsaw_bridges_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Warsaw Bridge Model",
fields=[
{"name": "BridgeMap"},
{"name": "BridgeName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{BridgeMap}}</div>',
"afmt": '<div class="map-container">{{BridgeMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{BridgeName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
for _, row in bridges.iterrows():
bridge_name = row["name"]
bridge_gdf = gpd.GeoDataFrame([row], crs=bridges.crs)
image_data = generate_bridge_image_bytes(bridge_gdf, warsaw_boundary, vistula)
filename = f"bridge_{bridge_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', bridge_name],
tags=["geography", "warsaw", "bridges"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point.
Args:
argv: Command-line arguments.
Returns:
Exit code.
"""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Warsaw bridges.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: warsaw_bridges.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Warsaw Bridges",
help="Name for the Anki deck",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("warsaw_bridges.apkg")
try:
sys.stdout.write("Loading bridge data...\n")
bridges = get_warsaw_bridges()
vistula = get_vistula_river()
warsaw_boundary = load_warsaw_boundary()
num_bridges = len(bridges)
sys.stdout.write(f"Generating flashcards for {num_bridges} bridges...\n")
package = generate_anki_package(
bridges, warsaw_boundary, vistula, args.deck_name
)
package.write_to_file(str(output_path))
# Export preview images if requested
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_bridges = list(bridges.iterrows())[: args.preview_count]
sys.stdout.write(
f"Exporting {len(preview_bridges)} preview images "
f"to {preview_dir}...\n"
)
for _, row in preview_bridges:
bridge_name = row["name"]
bridge_gdf = gpd.GeoDataFrame([row], crs=bridges.crs)
image_data = generate_bridge_image_bytes(
bridge_gdf, warsaw_boundary, vistula
)
safe_name = bridge_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name}\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Bridges: {num_bridges}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())

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"""Warsaw landmarks Anki flashcard generator."""

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#!/bin/bash
# Script to generate Warsaw Landmarks Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Warsaw Landmarks Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m warsaw_landmarks_anki --output warsaw_landmarks.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_landmarks.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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#!/usr/bin/env python3
"""Anki flashcard generator for Warsaw landmarks.
Generates Anki-compatible flashcard decks with maps showing individual
Warsaw landmarks (monuments, museums, parks, historic sites).
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
from pathlib import Path
import random
import sys
from typing import TYPE_CHECKING
sys.path.insert(0, str(Path(__file__).parent.parent))
import genanki
from geo_data import get_warsaw_landmarks
import geopandas as gpd
import matplotlib.pyplot as plt
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# Landmark marker color
LANDMARK_COLOR = "#9B59B6" # Purple
def load_warsaw_boundary() -> gpd.GeoDataFrame:
"""Load Warsaw boundary from districts GeoJSON."""
districts_path = (
Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
)
if districts_path.exists():
warsaw_gdf = gpd.read_file(districts_path)
warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
if len(warsaw_boundary) == 0:
warsaw_boundary = gpd.GeoDataFrame(
geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
)
return warsaw_boundary
msg = "Warsaw boundary data not found"
raise FileNotFoundError(msg)
def create_landmark_map(
landmark_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
) -> Figure:
"""Create a map showing Warsaw with one landmark highlighted."""
fig, ax = plt.subplots(figsize=(10, 10))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Warsaw as a plain gray shape
warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
# Plot the landmark as a star marker
landmark_gdf.plot(
ax=ax,
color=LANDMARK_COLOR,
markersize=400,
marker="*",
alpha=0.9,
edgecolor="#1A1A1A",
linewidth=1.5,
)
# Set bounds to Warsaw
bounds = warsaw_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_landmark_image_bytes(
landmark_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
) -> bytes:
"""Generate a landmark map image as bytes."""
fig = create_landmark_map(landmark_gdf, warsaw_boundary)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def generate_anki_package(
landmarks: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
deck_name: str = "Warsaw Landmarks",
) -> genanki.Package:
"""Generate Anki package for Warsaw landmarks."""
model_id_hash = hashlib.md5(f"warsaw_landmarks_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Warsaw Landmark Model",
fields=[
{"name": "LandmarkMap"},
{"name": "LandmarkName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{LandmarkMap}}</div>',
"afmt": '<div class="map-container">{{LandmarkMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{LandmarkName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
for _, row in landmarks.iterrows():
landmark_name = row["name"]
landmark_gdf = gpd.GeoDataFrame([row], crs=landmarks.crs)
image_data = generate_landmark_image_bytes(landmark_gdf, warsaw_boundary)
filename = f"landmark_{landmark_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', landmark_name],
tags=["geography", "warsaw", "landmarks"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Warsaw landmarks.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: warsaw_landmarks.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Warsaw Landmarks",
help="Name for the Anki deck",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("warsaw_landmarks.apkg")
try:
sys.stdout.write("Loading landmark data...\n")
landmarks = get_warsaw_landmarks()
warsaw_boundary = load_warsaw_boundary()
num_landmarks = len(landmarks)
sys.stdout.write(f"Generating flashcards for {num_landmarks} landmarks...\n")
package = generate_anki_package(landmarks, warsaw_boundary, args.deck_name)
package.write_to_file(str(output_path))
# Export preview images if requested
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_landmarks = list(landmarks.iterrows())[: args.preview_count]
sys.stdout.write(
f"Exporting {len(preview_landmarks)} preview images "
f"to {preview_dir}...\n"
)
for _, row in preview_landmarks:
landmark_name = row["name"]
landmark_gdf = gpd.GeoDataFrame([row], crs=landmarks.crs)
image_data = generate_landmark_image_bytes(
landmark_gdf, warsaw_boundary
)
safe_name = landmark_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name}\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Landmarks: {num_landmarks}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())

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"""Warsaw metro stations Anki flashcard generator."""

34
python_pkg/warsaw_metro/run.sh Executable file
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#!/bin/bash
# Script to generate Warsaw Metro Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Warsaw Metro Stations Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m warsaw_metro_anki --output warsaw_metro.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_metro.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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

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"""Warsaw osiedla (neighborhoods) Anki flashcard generator."""

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#!/bin/bash
# Script to generate Warsaw Osiedla Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Warsaw Osiedla Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m warsaw_osiedla_anki --output warsaw_osiedla.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_osiedla.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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#!/usr/bin/env python3
"""Anki flashcard generator for Warsaw osiedla (neighborhoods).
Generates Anki-compatible flashcard decks with maps showing individual
Warsaw neighborhoods highlighted on a city map.
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
from pathlib import Path
import random
import sys
from typing import TYPE_CHECKING
sys.path.insert(0, str(Path(__file__).parent.parent))
import genanki
from geo_data import get_warsaw_osiedla
import geopandas as gpd
import matplotlib.pyplot as plt
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# 50 unique colors for neighborhoods
OSIEDLE_COLORS = [
"#E74C3C",
"#3498DB",
"#2ECC71",
"#9B59B6",
"#F39C12",
"#1ABC9C",
"#E91E63",
"#00BCD4",
"#8BC34A",
"#FF5722",
"#673AB7",
"#FFEB3B",
"#795548",
"#607D8B",
"#CDDC39",
"#FF9800",
"#4CAF50",
"#03A9F4",
"#F44336",
"#009688",
"#3F51B5",
"#FFC107",
"#9E9E9E",
"#00E676",
"#FF4081",
"#448AFF",
"#69F0AE",
"#FFD740",
"#40C4FF",
"#B388FF",
"#EA80FC",
"#82B1FF",
"#A7FFEB",
"#FFFF8D",
"#FF80AB",
"#536DFE",
"#64FFDA",
"#FFE57F",
"#80D8FF",
"#B9F6CA",
"#CF6679",
"#BB86FC",
"#03DAC6",
"#018786",
"#6200EE",
"#3700B3",
"#B00020",
"#FF0266",
"#C51162",
"#AA00FF",
]
def load_warsaw_boundary() -> gpd.GeoDataFrame:
"""Load Warsaw boundary from districts GeoJSON."""
districts_path = (
Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
)
if districts_path.exists():
warsaw_gdf = gpd.read_file(districts_path)
warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
if len(warsaw_boundary) == 0:
warsaw_boundary = gpd.GeoDataFrame(
geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
)
return warsaw_boundary
msg = "Warsaw boundary data not found"
raise FileNotFoundError(msg)
def create_osiedle_map(
osiedle_name: str,
osiedle_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
all_osiedla: gpd.GeoDataFrame,
) -> Figure:
"""Create a map showing Warsaw with one osiedle highlighted."""
fig, ax = plt.subplots(figsize=(10, 10))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Warsaw as a plain gray shape
warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
# Assign color based on sorted names
sorted_names = sorted(all_osiedla["name"].tolist())
color_idx = sorted_names.index(osiedle_name) % len(OSIEDLE_COLORS)
fill_color = OSIEDLE_COLORS[color_idx]
# Plot the highlighted osiedle
osiedle_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
osiedle_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=4)
# Set bounds to Warsaw
bounds = warsaw_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_osiedle_image_bytes(
osiedle_name: str,
osiedle_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
all_osiedla: gpd.GeoDataFrame,
) -> bytes:
"""Generate an osiedle map image as bytes."""
fig = create_osiedle_map(osiedle_name, osiedle_gdf, warsaw_boundary, all_osiedla)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def generate_anki_package(
osiedla: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
deck_name: str = "Warsaw Osiedla",
) -> genanki.Package:
"""Generate Anki package for Warsaw osiedla."""
model_id_hash = hashlib.md5(f"warsaw_osiedla_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Warsaw Osiedle Model",
fields=[
{"name": "OsiedleMap"},
{"name": "OsiedleName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{OsiedleMap}}</div>',
"afmt": '<div class="map-container">{{OsiedleMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{OsiedleName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
for _, row in osiedla.iterrows():
osiedle_name = row["name"]
osiedle_gdf = gpd.GeoDataFrame([row], crs=osiedla.crs)
image_data = generate_osiedle_image_bytes(
osiedle_name, osiedle_gdf, warsaw_boundary, osiedla
)
filename = f"osiedle_{osiedle_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', osiedle_name],
tags=["geography", "warsaw", "osiedla"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Warsaw osiedla.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: warsaw_osiedla.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Warsaw Osiedla",
help="Name for the Anki deck",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("warsaw_osiedla.apkg")
try:
sys.stdout.write("Loading osiedla data...\n")
osiedla = get_warsaw_osiedla()
warsaw_boundary = load_warsaw_boundary()
num_osiedla = len(osiedla)
sys.stdout.write(f"Generating flashcards for {num_osiedla} osiedla...\n")
package = generate_anki_package(osiedla, warsaw_boundary, args.deck_name)
package.write_to_file(str(output_path))
# Export preview images if requested
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_osiedla = list(osiedla.iterrows())[: args.preview_count]
sys.stdout.write(
f"Exporting {len(preview_osiedla)} preview images "
f"to {preview_dir}...\n"
)
for _, row in preview_osiedla:
osiedle_name = row["name"]
osiedle_gdf = gpd.GeoDataFrame([row], crs=osiedla.crs)
image_data = generate_osiedle_image_bytes(
osiedle_name, osiedle_gdf, warsaw_boundary, osiedla
)
safe_name = osiedle_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name}\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Osiedla: {num_osiedla}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())

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# Warsaw Streets Anki Generator
Generate Anki flashcards for learning major Warsaw streets.
## Features
- Generates flashcards for major Warsaw streets (primary, secondary, tertiary roads)
- Uses real street data from OpenStreetMap
- Front of card: Map showing Warsaw with the street highlighted
- Back of card: Street name in Polish
- Self-contained .apkg file with embedded images
## Data Source
Street data is fetched from OpenStreetMap via the Overpass API.
## Installation
```bash
pip install matplotlib genanki geopandas requests shapely
```
## Usage
```bash
# Generate flashcards (fetches data from OSM)
./run.sh
# Or run directly
python -m warsaw_streets_anki
```
## Notes
- Only includes named streets tagged as primary, secondary, or tertiary highways
- Streets are filtered to remove duplicates and very short segments
- The first run will download data from Overpass API (may take a minute)

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"""Warsaw streets Anki flashcard generator."""

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#!/bin/bash
# Script to generate Warsaw Streets Anki deck
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VENV_DIR="$SCRIPT_DIR/.venv"
PREVIEW_DIR="$SCRIPT_DIR/preview_images"
echo "=== Warsaw Streets Anki Generator ==="
echo
if [ ! -d "$VENV_DIR" ]; then
echo "Creating virtual environment..."
python3 -m venv "$VENV_DIR"
fi
echo "Activating virtual environment..."
source "$VENV_DIR/bin/activate"
echo "Installing dependencies..."
pip install --quiet --upgrade pip
pip install --quiet matplotlib genanki geopandas requests shapely
cd "$SCRIPT_DIR"
# Create preview images directory
mkdir -p "$PREVIEW_DIR"
python -m warsaw_streets_anki --output warsaw_streets.apkg --preview "$PREVIEW_DIR" --preview-count 5
echo
echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_streets.apkg"
echo "Preview images are in: $PREVIEW_DIR"

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#!/usr/bin/env python3
"""Anki flashcard generator for Warsaw streets.
Generates Anki-compatible flashcard decks with maps showing individual
Warsaw streets highlighted on a city map.
Usage:
python -m python_pkg.warsaw_streets.warsaw_streets_anki
Output:
Creates a self-contained .apkg file that can be directly imported into Anki.
"""
from __future__ import annotations
import argparse
import hashlib
from io import BytesIO
from pathlib import Path
import random
import sys
from typing import TYPE_CHECKING, Any
sys.path.insert(0, str(Path(__file__).parent.parent))
import genanki
from geo_data import get_warsaw_streets
import geopandas as gpd
import matplotlib.pyplot as plt
from shapely.geometry import MultiLineString
if TYPE_CHECKING:
from collections.abc import Sequence
from matplotlib.figure import Figure
# Minimum street length in meters to include
MIN_STREET_LENGTH = 500
def get_unique_streets(
gdf: gpd.GeoDataFrame,
) -> list[tuple[str, gpd.GeoDataFrame, float]]:
"""Group street segments by name and merge geometries.
Args:
gdf: GeoDataFrame with street segments.
Returns:
List of (name, GeoDataFrame, length_m) tuples, sorted by length (longest first).
"""
# Group by street name
streets: dict[str, list[Any]] = {}
for _, row in gdf.iterrows():
name = row["name"]
if name and name != "Unknown":
if name not in streets:
streets[name] = []
streets[name].append(row.geometry)
# Merge geometries and calculate length
result = []
for name, geometries in streets.items():
merged = geometries[0] if len(geometries) == 1 else MultiLineString(geometries)
# Create a GeoDataFrame for this street
street_gdf = gpd.GeoDataFrame(
[{"name": name, "geometry": merged}], crs="EPSG:4326"
)
# Calculate length in meters (approximate)
street_gdf_proj = street_gdf.to_crs("EPSG:2180") # Polish coordinate system
length = street_gdf_proj.geometry.length.iloc[0]
if length >= MIN_STREET_LENGTH:
result.append((name, street_gdf, length))
# Sort by length (longest first)
result.sort(key=lambda x: x[2], reverse=True)
return result
def load_street_data() -> (
tuple[list[tuple[str, gpd.GeoDataFrame, float]], gpd.GeoDataFrame]
):
"""Load Warsaw streets and boundary.
Returns:
Tuple of (streets list sorted by length, warsaw boundary GeoDataFrame).
"""
streets_gdf = get_warsaw_streets(min_length=MIN_STREET_LENGTH)
streets = get_unique_streets(streets_gdf)
# Load Warsaw districts for boundary (reuse from warsaw_districts)
districts_path = (
Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
)
if districts_path.exists():
warsaw_gdf = gpd.read_file(districts_path)
# Get just Warsaw boundary
warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
if len(warsaw_boundary) == 0:
# Dissolve all districts
warsaw_boundary = gpd.GeoDataFrame(
geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
)
else:
msg = "Warsaw boundary data not found"
raise FileNotFoundError(msg)
return streets, warsaw_boundary
# Color for highlighted street
STREET_COLOR = "#E74C3C" # Red
def create_street_map(
street_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
) -> Figure:
"""Create a map showing Warsaw with one street highlighted.
Args:
street_name: Name of the street.
street_gdf: GeoDataFrame with the street geometry.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
Returns:
A matplotlib Figure object.
"""
fig, ax = plt.subplots(figsize=(10, 10))
ax.set_aspect("equal")
ax.axis("off")
fig.patch.set_alpha(0)
ax.patch.set_alpha(0)
# Plot Warsaw as a plain gray shape
warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
# Plot the highlighted street
street_gdf.plot(ax=ax, color=STREET_COLOR, linewidth=4, alpha=0.9)
# Set bounds to Warsaw
bounds = warsaw_boundary.total_bounds
ax.set_xlim(bounds[0], bounds[2])
ax.set_ylim(bounds[1], bounds[3])
return fig
def generate_street_image_bytes(
street_gdf: gpd.GeoDataFrame,
warsaw_boundary: gpd.GeoDataFrame,
) -> bytes:
"""Generate a street map image as bytes.
Args:
street_gdf: GeoDataFrame with the street geometry.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
Returns:
PNG image data as bytes.
"""
fig = create_street_map(street_gdf, warsaw_boundary)
buf = BytesIO()
fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
plt.close(fig)
buf.seek(0)
return buf.read()
def generate_anki_package(
streets: list[tuple[str, gpd.GeoDataFrame, float]],
warsaw_boundary: gpd.GeoDataFrame,
deck_name: str = "Warsaw Streets",
) -> genanki.Package:
"""Generate Anki package for Warsaw streets.
Args:
streets: List of (name, GeoDataFrame, length) tuples, sorted by length.
warsaw_boundary: GeoDataFrame with Warsaw boundary.
deck_name: Name for the Anki deck.
Returns:
genanki.Package object.
"""
model_id_hash = hashlib.md5(f"warsaw_streets_{deck_name}".encode()) # noqa: S324
model_id = int(model_id_hash.hexdigest()[:8], 16)
card_css = """
.card {
font-family: Arial, sans-serif;
font-size: 24px;
text-align: center;
color: #333;
background-color: #fff;
}
.card.night_mode {
color: #eee;
background-color: #2f2f2f;
}
.map-container {
display: flex;
justify-content: center;
align-items: center;
min-height: 80vh;
}
.map-container img {
max-width: 100%;
max-height: 80vh;
object-fit: contain;
}
.answer-text {
font-size: 32px;
font-weight: bold;
margin-top: 20px;
color: #2C3E50;
}
.card.night_mode .answer-text {
color: #ECF0F1;
}
"""
my_model = genanki.Model(
model_id,
"Warsaw Street Model",
fields=[
{"name": "StreetMap"},
{"name": "StreetName"},
],
templates=[
{
"name": "Card 1",
"qfmt": '<div class="map-container">{{StreetMap}}</div>',
"afmt": '<div class="map-container">{{StreetMap}}</div>'
'<hr id="answer">'
'<div class="answer-text">{{StreetName}}</div>',
},
],
css=card_css,
)
deck_id = random.randrange(1 << 30, 1 << 31) # noqa: S311
my_deck = genanki.Deck(deck_id, deck_name)
media_files = []
# Streets are already sorted by length (longest first)
for street_name, street_gdf, _length in streets:
image_data = generate_street_image_bytes(street_gdf, warsaw_boundary)
filename = f"street_{street_name.replace(' ', '_').replace('/', '_')}.png"
note = genanki.Note(
model=my_model,
fields=[f'<img src="{filename}">', street_name],
tags=["geography", "warsaw", "streets"],
)
my_deck.add_note(note)
temp_path = Path(f"/tmp/{filename}") # noqa: S108
temp_path.write_bytes(image_data)
media_files.append(str(temp_path))
package = genanki.Package(my_deck)
package.media_files = media_files
return package
def main(argv: Sequence[str] | None = None) -> int:
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Generate Anki flashcards for Warsaw streets.",
)
parser.add_argument(
"--output",
"-o",
type=str,
default=None,
help="Output file path (default: warsaw_streets.apkg)",
)
parser.add_argument(
"--deck-name",
"-d",
type=str,
default="Warsaw Streets",
help="Name for the Anki deck",
)
parser.add_argument(
"--min-length",
"-m",
type=int,
default=MIN_STREET_LENGTH,
help=f"Minimum street length in meters (default: {MIN_STREET_LENGTH})",
)
parser.add_argument(
"--preview",
"-p",
type=str,
default=None,
help="Export preview images to specified directory",
)
parser.add_argument(
"--preview-count",
type=int,
default=5,
help="Number of preview images to export (default: 5)",
)
args = parser.parse_args(argv)
output_path = Path(args.output) if args.output else Path("warsaw_streets.apkg")
try:
sys.stdout.write("Loading street data...\n")
streets, warsaw_boundary = load_street_data()
num_streets = len(streets)
sys.stdout.write(f"Generating flashcards for {num_streets} Warsaw streets...\n")
package = generate_anki_package(streets, warsaw_boundary, args.deck_name)
package.write_to_file(str(output_path))
# Export preview images if requested (top N longest streets)
if args.preview:
preview_dir = Path(args.preview)
preview_dir.mkdir(parents=True, exist_ok=True)
preview_streets = streets[: args.preview_count]
sys.stdout.write(
f"Exporting {len(preview_streets)} preview images "
f"(longest streets) to {preview_dir}...\n"
)
for street_name, street_gdf, length_m in preview_streets:
image_data = generate_street_image_bytes(street_gdf, warsaw_boundary)
safe_name = street_name.replace(" ", "_").replace("/", "_")
preview_path = preview_dir / f"{safe_name}.png"
preview_path.write_bytes(image_data)
sys.stdout.write(f" Saved: {preview_path.name} ({length_m:.0f}m)\n")
sys.stdout.write("\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
sys.stdout.write("=" * 60 + "\n")
sys.stdout.write(f"Streets: {num_streets}\n")
sys.stdout.write(f"Output file: {output_path.absolute()}\n")
if args.preview:
sys.stdout.write(f"Preview images: {args.preview}\n")
except (OSError, ValueError, RuntimeError) as e:
sys.stderr.write(f"Error: {e}\n")
return 1
else:
return 0
if __name__ == "__main__":
sys.exit(main())