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import sys
from pyspark import SparkContext, SparkConf
from pyspark.sql import SQLContext
import pyspark.sql.functions as F
from pyspark.sql.window import Window
import datetime
def main():
date = sys.argv[1]
days_count = sys.argv[2]
events_base_path = sys.argv[3]
output_base_path = sys.argv[4]
conf = SparkConf().setAppName(f"UserInterestsJob-{date}-d{days_count}")
sc = SparkContext(conf=conf)
sql = SQLContext(sc)
posts_part = sql.read\
.option("basePath", events_base_path)\
.parquet(*input_event_paths(events_base_path, date, days_count))\
.where("event.message_channel_to is not null and event_type = 'message'")
posts_all = sql.read.parquet(events_base_path)\
.where("event_type='message' and event.message_channel_to is not null")
reactions_part = sql.read\
.option("basePath", events_base_path)\
.parquet(*input_event_paths(events_base_path, date, days_count))\
.where("event_type = 'reaction'")
result = calculate_user_interests(posts_part, posts_all, reactions_part)
result.write.parquet(f"{output_base_path}/date={date}")
def input_event_paths(base_path, date, depth):
dt = datetime.datetime.strptime(date, '%Y-%m-%d')
return [f"{base_path}/date={(dt-datetime.timedelta(days=x)).strftime('%Y-%m-%d')}" for x in range(int(depth))]
def calculate_user_interests(posts_part, posts_all, reactions):
post_tops = tag_tops(posts_part)
reaction_tops = reaction_tag_tops(posts_all, reactions)
return post_tops.join(reaction_tops, "user_id", "full_outer")
def tag_tops(posts):
result = posts\
.select(F.col("event.message_id").alias("message_id"),
F.col("event.message_from").alias("user_id"),
F.explode(F.col("event.tags")).alias("tag"))\
.groupBy("user_id", "tag")\
.agg(F.count("*").alias("tag_count"))\
.withColumn("rank", F.row_number().over(Window.partitionBy("user_id").orderBy(F.desc("tag_count"), F.desc("tag"))))\
.where("rank <= 3")\
.groupBy("user_id")\
.pivot("rank", [1, 2, 3])\
.agg(F.first("tag"))\
.withColumnRenamed("1", "tag_top_1")\
.withColumnRenamed("2", "tag_top_2")\
.withColumnRenamed("3", "tag_top_3")
return result
def reaction_tag_tops(posts_all, reactions):
all_message_tags = posts_all\
.select(F.col("event.message_id").alias("message_id"),
F.col("event.message_from").alias("user_id"),
F.explode(F.col("event.tags")).alias("tag")
)
reaction_tags = reactions\
.select(F.col("event.reaction_from").alias("user_id"),
F.col("event.message_id").alias("message_id"),
F.col("event.reaction_type").alias("reaction_type")
).join(all_message_tags.select("message_id", "tag"), "message_id")
reaction_tops = reaction_tags\
.groupBy("user_id", "tag", "reaction_type")\
.agg(F.count("*").alias("tag_count"))\
.withColumn("rank", F.row_number().over(Window.partitionBy("user_id", "reaction_type").orderBy(F.desc("tag_count"), F.desc("tag"))))\
.where("rank <= 3")\
.groupBy("user_id", "reaction_type")\
.pivot("rank", [1, 2, 3])\
.agg(F.first("tag"))\
.cache()
like_tops = reaction_tops\
.where("reaction_type = 'like'")\
.drop("reaction_type")\
.withColumnRenamed("1", "like_tag_top_1")\
.withColumnRenamed("2", "like_tag_top_2")\
.withColumnRenamed("3", "like_tag_top_3")
dislike_tops = reaction_tops\
.where("reaction_type = 'dislike'")\
.drop("reaction_type")\
.withColumnRenamed("1", "dislike_tag_top_1")\
.withColumnRenamed("2", "dislike_tag_top_2")\
.withColumnRenamed("3", "dislike_tag_top_3")
result = like_tops\
.join(dislike_tops, "user_id", "full_outer")
return result
if __name__ == "__main__":
main()
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