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@ -6,7 +6,7 @@ from sqlalchemy.orm import aliased
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from orm.author import Author, AuthorFollower, AuthorRating
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from orm.community import Community
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from orm.reaction import Reaction
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from orm.reaction import Reaction, ReactionKind
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from orm.shout import ShoutAuthor, ShoutTopic
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from orm.topic import Topic
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from resolvers.community import followed_communities
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@ -34,13 +34,6 @@ def add_author_stat_columns(q):
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func.count(distinct(followers_table.author)).label("followings_stat")
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)
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comments_table = aliased(Reaction)
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q = q.outerjoin(comments_table, comments_table.created_by == Author.id).add_columns(
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func.count()
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.filter(and_(comments_table.kind == "COMMENT", comments_table.deleted_at.is_(None)))
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.label("commented_stat")
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)
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q = q.group_by(Author.id)
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return q
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@ -48,12 +41,11 @@ def add_author_stat_columns(q):
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def get_authors_from_query(q):
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authors = []
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with local_session() as session:
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for [author, shouts_stat, followers_stat, followings_stat, commented_stat] in session.execute(q):
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for [author, shouts_stat, followers_stat, followings_stat] in session.execute(q):
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author.stat = {
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"shouts": shouts_stat,
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"followers": followers_stat,
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"followings": followings_stat,
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"commented": commented_stat,
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}
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authors.append(author)
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# print(f"[resolvers.author] get_authors_from_query {authors}")
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@ -140,7 +132,14 @@ async def get_author(_, _info, slug="", author_id=None):
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q = add_author_stat_columns(q)
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authors = get_authors_from_query(q)
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if authors:
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return authors[0]
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author = authors[0]
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with local_session() as session:
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comments_count = (
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session.query(Reaction)
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.where(and_(Reaction.createdBy == author.id, Reaction.kind == ReactionKind.COMMENT.value))
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.count()
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)
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author.stat["commented"] = comments_count
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else:
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return {"error": "cant find author"}
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@ -1,3 +1,4 @@
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import math
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import time
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import logging
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@ -27,7 +28,7 @@ def before_cursor_execute(conn, cursor, statement, parameters, context, executem
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@event.listens_for(Engine, "after_cursor_execute")
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def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
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total = time.time() - conn.info["query_start_time"].pop(-1)
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logger.debug(f" Finished in {total*1000} ms ")
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logger.debug(f" Finished in {math.floor(total*10000)/10} ms ")
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engine = create_engine(DB_URL, echo=False, pool_size=10, max_overflow=20)
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