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from typing import List, Tuple, Dict
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
"""
raw_years = [int(r[0]) for r in rows]
years = dict()
if raw_years:
for y in range(min(raw_years), max(raw_years)+1):
years[int(y)] = dict(year=int(y), available=0, missing=0)
for r in rows:
if r[1]:
years[int(r[0])]['available'] = r[2]
else:
years[int(r[0])]['missing'] = r[2]
years = sorted(years.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(y['year']) for y in years]
chart.add('via Fatcat', [y['available'] for y in years])
chart.add('Missing', [y['missing'] for y 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
"""
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
"""
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
"""
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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