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style: run python linter & prettifier on backend code

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This commit is contained in:
Dylan De Faoite
2026-03-25 19:34:43 +00:00
parent aae10c4d9d
commit 376773a0cc
17 changed files with 408 additions and 315 deletions
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127
server/connectors/reddit_api.py
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@@ -9,6 +9,7 @@ from server.connectors.base import BaseConnector
logger = logging.getLogger(__name__)
class RedditAPI(BaseConnector):
source_name: str = "reddit"
display_name: str = "Reddit"
@@ -19,22 +20,18 @@ class RedditAPI(BaseConnector):
self.url = "https://www.reddit.com/"
# Public Methods #
def get_new_posts_by_search(self,
search: str,
category: str,
post_limit: int
) -> list[Post]:
def get_new_posts_by_search(
self, search: str, category: str, post_limit: int
) -> list[Post]:
prefix = f"r/{category}/" if category else ""
params = {'limit': post_limit}
params = {"limit": post_limit}
if search:
endpoint = f"{prefix}search.json"
params.update({
'q': search,
'sort': 'new',
'restrict_sr': 'on' if category else 'off'
})
params.update(
{"q": search, "sort": "new", "restrict_sr": "on" if category else "off"}
)
else:
endpoint = f"{prefix}new.json"
@@ -43,24 +40,24 @@ class RedditAPI(BaseConnector):
while len(posts) < post_limit:
batch_limit = min(100, post_limit - len(posts))
params['limit'] = batch_limit
params["limit"] = batch_limit
if after:
params['after'] = after
params["after"] = after
data = self._fetch_post_overviews(endpoint, params)
if not data or 'data' not in data or not data['data'].get('children'):
if not data or "data" not in data or not data["data"].get("children"):
break
batch_posts = self._parse_posts(data)
posts.extend(batch_posts)
after = data['data'].get('after')
after = data["data"].get("after")
if not after:
break
return posts[:post_limit]
def _get_new_subreddit_posts(self, subreddit: str, limit: int = 10) -> list[Post]:
posts = []
after = None
@@ -70,37 +67,36 @@ class RedditAPI(BaseConnector):
while len(posts) < limit:
batch_limit = min(100, limit - len(posts))
params = {
'limit': batch_limit,
'after': after
}
params = {"limit": batch_limit, "after": after}
data = self._fetch_post_overviews(url, params)
batch_posts = self._parse_posts(data)
logger.debug(f"Fetched {len(batch_posts)} new posts from subreddit {subreddit}")
logger.debug(
f"Fetched {len(batch_posts)} new posts from subreddit {subreddit}"
)
if not batch_posts:
break
posts.extend(batch_posts)
after = data['data'].get('after')
after = data["data"].get("after")
if not after:
break
return posts
def get_user(self, username: str) -> User:
data = self._fetch_post_overviews(f"user/{username}/about.json", {})
return self._parse_user(data)
def category_exists(self, category: str) -> bool:
try:
data = self._fetch_post_overviews(f"r/{category}/about.json", {})
return (
data is not None
and 'data' in data
and data['data'].get('id') is not None
and "data" in data
and data["data"].get("id") is not None
)
except Exception:
return False
@@ -109,25 +105,26 @@ class RedditAPI(BaseConnector):
def _parse_posts(self, data) -> list[Post]:
posts = []
total_num_posts = len(data['data']['children'])
total_num_posts = len(data["data"]["children"])
current_index = 0
for item in data['data']['children']:
for item in data["data"]["children"]:
current_index += 1
logger.debug(f"Parsing post {current_index} of {total_num_posts}")
post_data = item['data']
post_data = item["data"]
post = Post(
id=post_data['id'],
author=post_data['author'],
title=post_data['title'],
content=post_data.get('selftext', ''),
url=post_data['url'],
timestamp=post_data['created_utc'],
id=post_data["id"],
author=post_data["author"],
title=post_data["title"],
content=post_data.get("selftext", ""),
url=post_data["url"],
timestamp=post_data["created_utc"],
source=self.source_name,
comments=self._get_post_comments(post_data['id']))
post.subreddit = post_data['subreddit']
post.upvotes = post_data['ups']
comments=self._get_post_comments(post_data["id"]),
)
post.subreddit = post_data["subreddit"]
post.upvotes = post_data["ups"]
posts.append(post)
return posts
@@ -140,56 +137,62 @@ class RedditAPI(BaseConnector):
if len(data) < 2:
return comments
comment_data = data[1]['data']['children']
comment_data = data[1]["data"]["children"]
def _parse_comment_tree(items, parent_id=None):
for item in items:
if item['kind'] != 't1':
if item["kind"] != "t1":
continue
comment_info = item['data']
comment_info = item["data"]
comment = Comment(
id=comment_info['id'],
id=comment_info["id"],
post_id=post_id,
author=comment_info['author'],
content=comment_info.get('body', ''),
timestamp=comment_info['created_utc'],
reply_to=parent_id or comment_info.get('parent_id', None),
source=self.source_name
author=comment_info["author"],
content=comment_info.get("body", ""),
timestamp=comment_info["created_utc"],
reply_to=parent_id or comment_info.get("parent_id", None),
source=self.source_name,
)
comments.append(comment)
# Process replies recursively
replies = comment_info.get('replies')
replies = comment_info.get("replies")
if replies and isinstance(replies, dict):
reply_items = replies.get('data', {}).get('children', [])
reply_items = replies.get("data", {}).get("children", [])
_parse_comment_tree(reply_items, parent_id=comment.id)
_parse_comment_tree(comment_data)
return comments
def _parse_user(self, data) -> User:
user_data = data['data']
user = User(
username=user_data['name'],
created_utc=user_data['created_utc'])
user.karma = user_data['total_karma']
user_data = data["data"]
user = User(username=user_data["name"], created_utc=user_data["created_utc"])
user.karma = user_data["total_karma"]
return user
def _fetch_post_overviews(self, endpoint: str, params: dict) -> dict:
url = f"{self.url}{endpoint}"
max_retries = 15
backoff = 1 # seconds
backoff = 1 # seconds
for attempt in range(max_retries):
try:
response = requests.get(url, headers={'User-agent': 'python:ethnography-college-project:0.1 (by /u/ThisBirchWood)'}, params=params)
response = requests.get(
url,
headers={
"User-agent": "python:ethnography-college-project:0.1 (by /u/ThisBirchWood)"
},
params=params,
)
if response.status_code == 429:
wait_time = response.headers.get("Retry-After", backoff)
logger.warning(f"Rate limited by Reddit API. Retrying in {wait_time} seconds...")
logger.warning(
f"Rate limited by Reddit API. Retrying in {wait_time} seconds..."
)
time.sleep(wait_time)
backoff *= 2
@@ -205,4 +208,4 @@ class RedditAPI(BaseConnector):
return response.json()
except requests.RequestException as e:
print(f"Error fetching data from Reddit API: {e}")
return {}
return {}