CodeSearchNet/function_parser/function_parser/process.py at master · bert2code/CodeSearchNet · GitHub

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"""

Usage:

process.py [options] INPUT_DIR OUTPUT_DIR

Options:

-h --help

--language LANGUAGE Language

--processes PROCESSES # of processes to use [default: 16]

--license-filter FILE License metadata to filter, every row contains [nwo, license, language, score] (e.g. ['pandas-dev/pandas', 'bsd-3-clause', 'Python', 0.9997])

--tree-sitter-build FILE [default: /src/build/py-tree-sitter-languages.so]

"""

import functools

from multiprocessing import Pool

import pickle

from os import PathLike

from typing import Optional, Tuple, Type, List, Dict, Any

from docopt import docopt

from dpu_utils.codeutils.deduplication import DuplicateDetector

import pandas as pd

from tree_sitter import Language, Parser

from language_data import LANGUAGE_METADATA

from parsers.language_parser import LanguageParser, tokenize_docstring

from utils import download, get_sha, flatten, remap_nwo, walk

class DataProcessor:

PARSER = Parser()

def __init__(self, language: str, language_parser: Type[LanguageParser]):

self.language = language

self.language_parser = language_parser

def process_dee(self, nwo, ext) -> List[Dict[str, Any]]:

# Process dependees (libraries) to get function implementations

indexes = []

_, nwo = remap_nwo(nwo)

if nwo is None:

return indexes

tmp_dir = download(nwo)

files = walk(tmp_dir, ext)

# files = glob.iglob(tmp_dir.name + '/**/*.{}'.format(ext), recursive=True)

sha = None

for f in files:

definitions = self.get_function_definitions(f)

if definitions is None:

continue

if sha is None:

sha = get_sha(tmp_dir, nwo)

nwo, path, functions = definitions

indexes.extend((self.extract_function_data(func, nwo, path, sha) for func in functions if len(func['function_tokens']) > 1))

return indexes

def process_dent(self, nwo, ext, library_candidates) -> Tuple[List[Dict[str, Any]], List[Tuple[str, str]]]:

# Process dependents (applications) to get function calls

dents = []

edges = []

_, nwo = remap_nwo(nwo)

if nwo is None:

return dents, edges

tmp_dir = download(nwo)

files = walk(tmp_dir, ext)

sha = None

for f in files:

context_and_calls = self.get_context_and_function_calls(f)

if context_and_calls is None:

continue

if sha is None:

sha = get_sha(tmp_dir, nwo)

nwo, path, context, calls = context_and_calls

libraries = []

for cxt in context:

if type(cxt) == dict:

libraries.extend([v.split('.')[0] for v in cxt.values()])

elif type(cxt) == list:

libraries.extend(cxt)

match_scopes = {}

for cxt in set(libraries):

if cxt in library_candidates:

match_scopes[cxt] = library_candidates[cxt]

for call in calls:

for depended_library_name, dependend_library_functions in match_scopes.items():

for depended_library_function in dependend_library_functions:

# Other potential filters: len(call['identifier']) > 6 or len(call['identifier'].split('_')) > 1

if (call['identifier'] not in self.language_parser.STOPWORDS and

((depended_library_function['identifier'].split('.')[-1] == '__init__' and

call['identifier'] == depended_library_function['identifier'].split('.')[0]) or

((len(call['identifier']) > 9 or

(not call['identifier'].startswith('_') and len(call['identifier'].split('_')) > 1)) and

call['identifier'] == depended_library_function['identifier'])

)):

dent = {

'nwo': nwo,

'sha': sha,

'path': path,

'language': self.language,

'identifier': call['identifier'],

'argument_list': call['argument_list'],

'url': 'https://github.com/{}/blob/{}/{}#L{}-L{}'.format(nwo, sha, path,

call['start_point'][0] + 1,

call['end_point'][0] + 1)

}

dents.append(dent)

edges.append((dent['url'], depended_library_function['url']))

return dents, edges

def process_single_file(self, filepath: PathLike) -> List[Dict[str, Any]]:

definitions = self.get_function_definitions(filepath)

if definitions is None:

return []

_, _, functions = definitions

return [self.extract_function_data(func, '', '', '') for func in functions if len(func['function_tokens']) > 1]

def extract_function_data(self, function: Dict[str, Any], nwo, path: str, sha: str):

return {

'nwo': nwo,

'sha': sha,

'path': path,

'language': self.language,

'identifier': function['identifier'],

'parameters': function.get('parameters', ''),

'argument_list': function.get('argument_list', ''),

'return_statement': function.get('return_statement', ''),

'docstring': function['docstring'].strip(),

'docstring_summary': function['docstring_summary'].strip(),

'docstring_tokens': tokenize_docstring(function['docstring_summary']),

'function': function['function'].strip(),

'function_tokens': function['function_tokens'],

'url': 'https://github.com/{}/blob/{}/{}#L{}-L{}'.format(nwo, sha, path, function['start_point'][0] + 1,

function['end_point'][0] + 1)

}

def get_context_and_function_calls(self, filepath: str) -> Optional[Tuple[str, str, List, List]]:

nwo = '/'.join(filepath.split('/')[3:5])

path = '/'.join(filepath.split('/')[5:])

if any(fp in path.lower() for fp in self.language_parser.FILTER_PATHS):

return None

try:

with open(filepath) as source_code:

blob = source_code.read()

tree = DataProcessor.PARSER.parse(blob.encode())

return (nwo, path, self.language_parser.get_context(tree, blob), self.language_parser.get_calls(tree, blob))

except (UnicodeDecodeError, FileNotFoundError, IsADirectoryError, ValueError, OSError):

return None

def get_function_definitions(self, filepath: str) -> Optional[Tuple[str, str, List]]:

nwo = '/'.join(filepath.split('/')[3:5])

path = '/'.join(filepath.split('/')[5:])

if any(fp in path.lower() for fp in self.language_parser.FILTER_PATHS):

return None

try:

with open(filepath) as source_code:

blob = source_code.read()

tree = DataProcessor.PARSER.parse(blob.encode())

return (nwo, path, self.language_parser.get_definition(tree, blob))

except (UnicodeDecodeError, FileNotFoundError, IsADirectoryError, ValueError, OSError):

return None

if __name__ == '__main__':

args = docopt(__doc__)

repository_dependencies = pd.read_csv(args['INPUT_DIR'] + 'repository_dependencies-1.4.0-2018-12-22.csv', index_col=False)

projects = pd.read_csv(args['INPUT_DIR'] + 'projects_with_repository_fields-1.4.0-2018-12-22.csv', index_col=False)

repository_dependencies['Manifest Platform'] = repository_dependencies['Manifest Platform'].apply(lambda x: x.lower())

id_to_nwo = {project['ID']: project['Repository Name with Owner'] for project in projects[['ID', 'Repository Name with Owner']].dropna().to_dict(orient='records')}

nwo_to_name = {project['Repository Name with Owner']: project['Name'] for project in projects[['Repository Name with Owner', 'Name']].dropna().to_dict(orient='records')}

filtered = repository_dependencies[(repository_dependencies['Host Type'] == 'GitHub') & (repository_dependencies['Manifest Platform'] == LANGUAGE_METADATA[args['--language']]['platform'])][['Repository Name with Owner', 'Dependency Project ID']].dropna().to_dict(orient='records')

dependency_pairs = [(rd['Repository Name with Owner'], id_to_nwo[int(rd['Dependency Project ID'])])

for rd in filtered if int(rd['Dependency Project ID']) in id_to_nwo]

dependency_pairs = list(set(dependency_pairs))

dents, dees = zip(*dependency_pairs)

# dents = list(set(dents))

dees = list(set(dees))

DataProcessor.PARSER.set_language(Language(args['--tree-sitter-build'], args['--language']))

processor = DataProcessor(language=args['--language'],

language_parser=LANGUAGE_METADATA[args['--language']]['language_parser'])

with Pool(processes=int(args['--processes'])) as pool:

output = pool.imap_unordered(functools.partial(processor.process_dee,

ext=LANGUAGE_METADATA[args['--language']]['ext']),

dees)

definitions = list(flatten(output))

with open(args['OUTPUT_DIR'] + '{}_definitions.pkl'.format(args['--language']), 'wb') as f:

pickle.dump(definitions, f)

license_filter_file = args.get('--license-filter')

if license_filter_file is not None:

with open(license_filter_file, 'rb') as f:

license_filter = pickle.load(f)

valid_nwos = dict([(l[0], l[3]) for l in license_filter])

# Sort function definitions with repository popularity

definitions = [dict(list(d.items()) + [('score', valid_nwos[d['nwo']])]) for d in definitions if d['nwo'] in valid_nwos]

definitions = sorted(definitions, key=lambda x: -x['score'])

# dedupe

seen = set()

filtered = []

for d in definitions:

if ' '.join(d['function_tokens']) not in seen:

filtered.append(d)

seen.add(' '.join(d['function_tokens']))

dd = DuplicateDetector(min_num_tokens_per_document=10)

filter_mask = [dd.add_file(id=idx,

tokens=d['function_tokens'],

language=d['language']) for idx, d in enumerate(filtered)]

exclusion_set = dd.compute_ids_to_exclude()

exclusion_mask = [idx not in exclusion_set for idx, _ in enumerate(filtered)]

filtered = [d for idx, d in enumerate(filtered) if filter_mask[idx] & exclusion_mask[idx]]

with open(args['OUTPUT_DIR'] + '{}_dedupe_definitions.pkl'.format(args['--language']), 'wb') as f:

pickle.dump(filtered, f)

CodeSearchNet/function_parser/function_parser/process.py at master · bert2code/CodeSearchNet · GitHub

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