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tests/astra-assistants/vertex.py → client/tests/astra-assistants/vertex.py
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import logging | ||
import os | ||
import time | ||
from openai import OpenAI | ||
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#!/usr/bin/env python | ||
# coding: utf-8 | ||
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""" | ||
The approach taken is explained below. I decided to do it simply. | ||
Initially I was considering parsing the data into some sort of | ||
structure and then generating an appropriate README. I am still | ||
considering doing it - but for now this should work. The only issue | ||
I see is that it only sorts the entries at the lowest level, and that | ||
the order of the top-level contents do not match the order of the actual | ||
entries. | ||
This could be extended by having nested blocks, sorting them recursively | ||
and flattening the end structure into a list of lines. Revision 2 maybe ^.^. | ||
""" | ||
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def sort_blocks(): | ||
# First, we load the current README into memory | ||
with open('README.md', 'r') as read_me_file: | ||
read_me = read_me_file.read() | ||
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# Separating the 'table of contents' from the contents (blocks) | ||
table_of_contents = ''.join(read_me.split('- - -')[0]) | ||
blocks = ''.join(read_me.split('- - -')[1]).split('\n# ') | ||
for i in range(len(blocks)): | ||
if i == 0: | ||
blocks[i] = blocks[i] + '\n' | ||
else: | ||
blocks[i] = '# ' + blocks[i] + '\n' | ||
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# Sorting the libraries | ||
inner_blocks = sorted(blocks[0].split('##')) | ||
for i in range(1, len(inner_blocks)): | ||
if inner_blocks[i][0] != '#': | ||
inner_blocks[i] = '##' + inner_blocks[i] | ||
inner_blocks = ''.join(inner_blocks) | ||
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# Replacing the non-sorted libraries by the sorted ones and gathering all at the final_README file | ||
blocks[0] = inner_blocks | ||
final_README = table_of_contents + '- - -' + ''.join(blocks) | ||
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with open('README.md', 'w+') as sorted_file: | ||
sorted_file.write(final_README) | ||
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def main(): | ||
# First, we load the current README into memory as an array of lines | ||
with open('README.md', 'r') as read_me_file: | ||
read_me = read_me_file.readlines() | ||
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# Then we cluster the lines together as blocks | ||
# Each block represents a collection of lines that should be sorted | ||
# This was done by assuming only links ([...](...)) are meant to be sorted | ||
# Clustering is done by indentation | ||
blocks = [] | ||
last_indent = None | ||
for line in read_me: | ||
s_line = line.lstrip() | ||
indent = len(line) - len(s_line) | ||
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if any([s_line.startswith(s) for s in ['* [', '- [']]): | ||
if indent == last_indent: | ||
blocks[-1].append(line) | ||
else: | ||
blocks.append([line]) | ||
last_indent = indent | ||
else: | ||
blocks.append([line]) | ||
last_indent = None | ||
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with open('README.md', 'w+') as sorted_file: | ||
# Then all of the blocks are sorted individually | ||
blocks = [ | ||
''.join(sorted(block, key=str.lower)) for block in blocks | ||
] | ||
# And the result is written back to README.md | ||
sorted_file.write(''.join(blocks)) | ||
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# Then we call the sorting method | ||
sort_blocks() | ||
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if __name__ == "__main__": | ||
main() |
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