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feed.py
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feed.py
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# The MIT License (MIT)
#
# Copyright (c) 2024 Aliaksei Bialiauski
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import csv
"""
Feed.
"""
class Feed:
def __init__(self, file):
self.file = file
# @todo #109:90min Feed `readme`, `last_commit`, `created_at`, and `commits`.
# We should feed other important fields too. For now we can feed readme,
# but transformer model can't process it since input tensor is too big.
# Let's resolve that problem and feed readme.
def read(self):
with open(self.file, "r") as input:
csv.field_size_limit(2 * 1024 * 1024 * 1024)
reader = csv.DictReader(input)
feed = []
for row in reader:
name = row["full_name"]
description = row["description"]
lines = description
feed.append(
{
"id": name,
"input": lines
}
)
return feed