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from typing import Any, Dict, List, Tuple
import pygal
from pygal.style import CleanStyle
def ia_coverage_histogram(rows: List[Tuple]) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are tuples of: (year: float or int, in_ia: bool, count: int)
"""
raw_years = [int(r[0]) for r in rows]
years_dict = dict()
if raw_years:
for y in range(min(raw_years), max(raw_years) + 1):
years_dict[int(y)] = dict(year=int(y), available=0, missing=0)
for r in rows:
if r[1]:
years_dict[int(r[0])]["available"] = r[2]
else:
years_dict[int(r[0])]["missing"] = r[2]
years: List[Dict[str, Any]] = sorted(years_dict.values(), key=lambda x: x["year"])
CleanStyle.colors = ("green", "purple")
label_count = len(years)
if len(years) > 20:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
)
# chart.title = "Perpetual Access Coverage"
chart.x_title = "Year"
# chart.y_title = "Releases"
chart.x_labels = [str(v["year"]) for v in years]
chart.add("via Fatcat", [v["available"] for v in years])
chart.add("Missing", [v["missing"] for v in years])
return chart
def preservation_by_year_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'year' key with float/int value.
"""
years = sorted(rows, key=lambda x: x["year"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(years)
if len(years) > 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Year"
chart.x_title = "Year"
# chart.y_title = "Count"
chart.x_labels = [str(y["year"]) for y in years]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in years])
else:
chart.add("None", [y["none"] for y in years])
chart.add("Shadow", [y["shadows_only"] for y in years])
chart.add("Dark", [y["dark"] for y in years])
chart.add("Bright", [y["bright"] for y in years])
return chart
def preservation_by_date_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'date' key with str value.
"""
dates = sorted(rows, key=lambda x: x["date"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(dates)
if len(dates) > 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Date"
chart.x_title = "Date"
# chart.y_title = "Count"
chart.x_labels = [str(y["date"]) for y in dates]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in dates])
else:
chart.add("None", [y["none"] for y in dates])
chart.add("Shadow", [y["shadows_only"] for y in dates])
chart.add("Dark", [y["dark"] for y in dates])
chart.add("Bright", [y["bright"] for y in dates])
return chart
def preservation_by_volume_histogram(
rows: List[Dict], merge_shadows: bool = False
) -> pygal.Graph:
"""
Note: this returns a raw pygal chart; it does not render it to SVG/PNG
Rows are dict with keys as preservation types and values as counts (int).
There is also a 'volume' key with str value.
"""
volumes = sorted(rows, key=lambda x: x["volume"])
if merge_shadows:
CleanStyle.colors = ("red", "darkolivegreen", "limegreen")
else:
CleanStyle.colors = ("red", "darkred", "darkolivegreen", "limegreen")
label_count = len(volumes)
if len(volumes) >= 30:
label_count = 10
chart = pygal.StackedBar(
dynamic_print_values=True,
style=CleanStyle,
width=1000,
height=500,
x_labels_major_count=label_count,
show_minor_x_labels=False,
x_label_rotation=20,
)
# chart.title = "Preservation by Volume"
chart.x_title = "Volume"
# chart.y_title = "Count"
chart.x_labels = [str(y["volume"]) for y in volumes]
if merge_shadows:
chart.add("None", [y["none"] + y["shadows_only"] for y in volumes])
else:
chart.add("None", [y["none"] for y in volumes])
chart.add("Shadow", [y["shadows_only"] for y in volumes])
chart.add("Dark", [y["dark"] for y in volumes])
chart.add("Bright", [y["bright"] for y in volumes])
return chart
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