| import argparse | |
| import os | |
| import textwrap | |
| from common import topics, get_commit_data_cache | |
| from commitlist import CommitList | |
| # Imports for working with classi | |
| from classifier import CommitClassifier, CategoryConfig, XLMR_BASE, get_author_map, get_file_map, CommitClassifierInputs | |
| import common | |
| import torch | |
| from pathlib import Path | |
| class Categorizer: | |
| def __init__(self, path, category='Uncategorized', use_classifier:bool = False): | |
| self.cache = get_commit_data_cache() | |
| self.commits = CommitList.from_existing(path) | |
| if use_classifier: | |
| print("Using a classifier to aid with categorization.") | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| classifier_config = CategoryConfig(common.categories) | |
| author_map = get_author_map(Path("results/classifier"), regen_data=False, assert_stored=True) | |
| file_map = get_file_map(Path("results/classifier"), regen_data=False, assert_stored=True) | |
| self.classifier = CommitClassifier(XLMR_BASE, author_map, file_map, classifier_config).to(device) | |
| self.classifier.load_state_dict(torch.load(Path("results/classifier/commit_classifier.pt"))) | |
| self.classifier.eval() | |
| else: | |
| self.classifier = None | |
| # Special categories: 'Uncategorized' | |
| # All other categories must be real | |
| self.category = category | |
| def categorize(self): | |
| commits = self.commits.filter(category=self.category) | |
| total_commits = len(self.commits.commits) | |
| already_done = total_commits - len(commits) | |
| i = 0 | |
| while i < len(commits): | |
| cur_commit = commits[i] | |
| next_commit = commits[i + 1] if i + 1 < len(commits) else None | |
| jump_to = self.handle_commit(cur_commit, already_done + i + 1, total_commits, commits) | |
| # Increment counter | |
| if jump_to is not None: | |
| i = jump_to | |
| elif next_commit is None: | |
| i = len(commits) | |
| else: | |
| i = commits.index(next_commit) | |
| def features(self, commit): | |
| return self.cache.get(commit.commit_hash) | |
| def potential_reverts_of(self, commit, commits): | |
| submodule_update_str = ['Update TensorPipe submodule', | |
| 'Updating submodules', | |
| 'Automated submodule update'] | |
| if any(a in commit.title for a in submodule_update_str): | |
| return [] | |
| features = self.features(commit) | |
| if 'Reverted' in features.labels: | |
| reasons = {'GithubBot': "Reverted"} | |
| else: | |
| reasons = {} | |
| index = commits.index(commit) | |
| # -8 to remove the (#35011) | |
| cleaned_title = commit.title[:-10] | |
| # NB: the index + 2 is sketch | |
| reasons.update({(index + 2 + delta): cand for delta, cand in enumerate(commits[index + 1:]) | |
| if cleaned_title in cand.title and | |
| commit.commit_hash != cand.commit_hash}) | |
| return reasons | |
| def handle_commit(self, commit, i, total, commits): | |
| potential_reverts = self.potential_reverts_of(commit, commits) | |
| if potential_reverts: | |
| potential_reverts = f'!!!POTENTIAL REVERTS!!!: {potential_reverts}' | |
| else: | |
| potential_reverts = "" | |
| features = self.features(commit) | |
| if self.classifier is not None: | |
| # Some commits don't have authors: | |
| author = features.author if features.author else "Unknown" | |
| files = ' '.join(features.files_changed) | |
| classifier_input = CommitClassifierInputs(title=[features.title], files=[files], author=[author]) | |
| classifier_category = self.classifier.get_most_likely_category_name(classifier_input)[0] | |
| else: | |
| classifier_category = commit.category | |
| breaking_alarm = "" | |
| if 'module: bc-breaking' in features.labels: | |
| breaking_alarm += "\n!!!!!! BC BREAKING !!!!!!" | |
| if 'module: deprecation' in features.labels: | |
| breaking_alarm += "\n!!!!!! DEPRECATION !!!!!!" | |
| os.system('clear') | |
| view = textwrap.dedent(f'''\ | |
| [{i}/{total}] | |
| ================================================================================ | |
| {features.title} | |
| {potential_reverts} {breaking_alarm} | |
| {features.body} | |
| Files changed: {features.files_changed} | |
| Labels: {features.labels} | |
| Current category: {commit.category} | |
| Select from: {', '.join(common.categories)} | |
| ''') | |
| print(view) | |
| cat_choice = None | |
| while cat_choice is None: | |
| print("Enter category: ") | |
| value = input(f'{classifier_category} ').strip() | |
| if len(value) == 0: | |
| # The user just pressed enter and likes the default value | |
| cat_choice = classifier_category | |
| continue | |
| choices = [cat for cat in common.categories | |
| if cat.startswith(value)] | |
| if len(choices) != 1: | |
| print(f'Possible matches: {choices}, try again') | |
| continue | |
| cat_choice = choices[0] | |
| print(f'\nSelected: {cat_choice}') | |
| print(f'\nCurrent topic: {commit.topic}') | |
| print(f'''Select from: {', '.join(topics)}''') | |
| topic_choice = None | |
| while topic_choice is None: | |
| value = input('topic> ').strip() | |
| if len(value) == 0: | |
| topic_choice = commit.topic | |
| continue | |
| choices = [cat for cat in topics | |
| if cat.startswith(value)] | |
| if len(choices) != 1: | |
| print(f'Possible matches: {choices}, try again') | |
| continue | |
| topic_choice = choices[0] | |
| print(f'\nSelected: {topic_choice}') | |
| self.update_commit(commit, cat_choice, topic_choice) | |
| return None | |
| def update_commit(self, commit, category, topic): | |
| assert category in common.categories | |
| assert topic in topics | |
| commit.category = category | |
| commit.topic = topic | |
| self.commits.write_result() | |
| def main(): | |
| parser = argparse.ArgumentParser(description='Tool to help categorize commits') | |
| parser.add_argument('--category', type=str, default='Uncategorized', | |
| help='Which category to filter by. "Uncategorized", None, or a category name') | |
| parser.add_argument('--file', help='The location of the commits CSV', | |
| default='results/commitlist.csv') | |
| parser.add_argument('--use_classifier', action='store_true', help="Whether or not to use a classifier to aid in categorization.") | |
| args = parser.parse_args() | |
| categorizer = Categorizer(args.file, args.category, args.use_classifier) | |
| categorizer.categorize() | |
| if __name__ == '__main__': | |
| main() |