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Greatly cleaned up and simplified core logic

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This commit is contained in:
Amber McCloughan
2025-12-31 00:54:36 -05:00
parent 6e32e3ec54
commit 5e1ff1c245
3 changed files with 54 additions and 74 deletions
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16
stats_model.py
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@@ -59,13 +59,16 @@ class StatsModel:
return total
def calculate_total_original_post_notes_by_month_and_year(self) -> Dict[str, int]:
# https://docs.python.org/3/library/collections.html#defaultdict-objects
date_map: Dict[str, Any] = {}
date_map = defaultdict(lambda: {'note_count': 0,
'post_count': 0},
date_map)
# Gathering the results.
for post_key in self.original_post_map:
post = self.original_post_map[post_key]
# Format is like 2025-12-28 20:00:34 GMT
# Format is like '2025-12-28 20:00:34 GMT'
post_date: datetime = datetime.strptime(
post['date'], '%Y-%m-%d %H:%M:%S %Z')
post_date_key = f"{post_date.year}-{post_date.month:02}"
@@ -74,6 +77,7 @@ class StatsModel:
sts['post_count'] += 1
sts['note_count'] += post['note_count']
# Results postprocessing.
for date in date_map:
sts = date_map[date]
post_count = sts['post_count']
@@ -83,10 +87,13 @@ class StatsModel:
return date_map
def determine_most_popular_tags(self) -> List[Dict[str, Any]]:
# https://docs.python.org/3/library/collections.html#defaultdict-objects
tag_dict: Dict[str, Any] = {}
tag_dict = defaultdict(lambda: {'note_count': 0,
'post_count': 0},
tag_dict)
# Gathering the results.
for post_key in self.original_post_map:
post = self.original_post_map[post_key]
tags = post['tags']
@@ -96,12 +103,13 @@ class StatsModel:
sts['post_count'] += 1
sts['note_count'] += post['note_count']
# Results postprocessing.
for tag in tag_dict:
sts = tag_dict[tag]
post_count = sts['post_count']
note_count = sts['note_count']
sts['notes_to_posts_ratio'] = note_count / post_count
tag_list = sorted(list(tag_dict.values()), key=itemgetter('note_count'),
reverse=True)
return tag_list
# https://stackoverflow.com/a/73050
return sorted(list(tag_dict.values()), key=itemgetter('note_count'),
reverse=True)