| 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() |