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