def insert_fake_metrics(db):
metric_mapping = get_metric_mapping(db)
has_data = dict.fromkeys(metric_mapping.values(), True)
for v, sha_part in enumerate('abc', 1):
metric_values = dict.fromkeys(metric_mapping.values(), v)
commit = Commit(sha_part * 40, 1)
insert_metric_values(db, metric_values, has_data, commit)
def insert(db, sha, timestamp, value):
metric_mapping = get_metric_mapping(db)
write_logic.insert_metric_values(
db,
{'PythonImportCount': value, 'TODOCount': value},
metric_mapping,
Commit(sha, timestamp),
)
def insert(db, sha, timestamp, value, has_data=True):
metric_mapping = get_metric_mapping(db)
write_logic.insert_metric_values(
db,
{metric_mapping['PythonImportCount']: value},
{metric_mapping['PythonImportCount']: has_data},
Commit(sha, timestamp),
)
def insert(db, sha, timestamp, value, has_data=True):
metric_mapping = get_metric_mapping(db)
write_logic.insert_metric_values(
db,
{metric_mapping['PythonImportCount']: value},
{metric_mapping['PythonImportCount']: has_data},
Commit(sha, timestamp),
)
def load_data(
database_file,
repo,
package_names,
skip_defaults,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
repo_parser = RepoParser(repo)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_name to a running value
metric_values = collections.defaultdict(int)
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits[0]
metric_values.update(
get_metric_values(
db,
compare_commit.sha,
))
commits = commits[1:]
mp_args = six.moves.zip(
[compare_commit] + commits,
commits,
itertools.repeat(repo_parser),
itertools.repeat(metric_parsers),
)
pool = multiprocessing.pool.Pool(15)
for commit, metrics in six.moves.zip(
commits,
pool.imap(_get_metrics_inner, mp_args),
):
increment_metric_values(metric_values, metrics)
insert_metric_values(
db,
metric_values,
metric_mapping,
commit,
)
insert_metric_changes(db, metrics, metric_mapping, commit)
def insert(db, sha, timestamp, value):
metric_mapping = get_metric_mapping(db)
write_logic.insert_metric_values(
db,
{
'PythonImportCount': value,
'TODOCount': value
},
metric_mapping,
Commit(sha, timestamp),
)
def load_data(
database_file: str,
repo: str,
repo_type: str,
package_names: List[str],
skip_defaults: bool,
exclude: Pattern[bytes],
jobs: int,
) -> None:
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
has_data = get_metric_has_data(db)
if repo_type == 'git':
repo_parser = GitRepoParser(repo)
elif repo_type == 'hg':
repo_parser = HgRepoParser(repo)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_id to a running value
metric_values: Counter[int] = collections.Counter()
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits.pop(0)
metric_values.update(get_metric_values(db, compare_commit.sha))
mp_args = zip(
[compare_commit, *commits],
commits,
itertools.repeat(repo_parser),
itertools.repeat(metric_parsers),
itertools.repeat(exclude),
)
with mapper(jobs) as do_map:
for commit, metrics in zip(
commits,
do_map(_get_metrics_inner, mp_args),
):
update_has_data(db, metrics, metric_mapping, has_data)
increment_metrics(metric_values, metric_mapping, metrics)
insert_metric_values(db, metric_values, has_data, commit)
insert_metric_changes(db, metrics, metric_mapping, commit)
def load_data(
database_file,
repo,
package_names,
skip_defaults,
exclude,
jobs,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db) # type: Dict[str, int]
has_data = get_metric_has_data(db) # type: Dict[int, bool]
repo_parser = RepoParser(repo)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_id to a running value
metric_values = collections.Counter() # type: Counter[int]
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits.pop(0)
metric_values.update(get_metric_values(db, compare_commit.sha))
mp_args = six.moves.zip(
[compare_commit] + commits,
commits,
itertools.repeat(repo_parser),
itertools.repeat(metric_parsers),
itertools.repeat(exclude),
)
do_map = mapper(jobs)
for commit, metrics in six.moves.zip(
commits,
do_map(_get_metrics_inner, mp_args),
):
update_has_data(db, metrics, metric_mapping, has_data)
increment_metric_values(metric_values, metric_mapping, metrics)
insert_metric_values(db, metric_values, has_data, commit)
insert_metric_changes(db, metrics, metric_mapping, commit)
def load_data(
database_file,
repo,
package_names,
skip_defaults,
exclude,
jobs,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
has_data = get_metric_has_data(db)
repo_parser = RepoParser(repo)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_id to a running value
metric_values = collections.Counter()
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits.pop(0)
metric_values.update(get_metric_values(db, compare_commit.sha))
mp_args = six.moves.zip(
[compare_commit] + commits,
commits,
itertools.repeat(repo_parser),
itertools.repeat(metric_parsers),
itertools.repeat(exclude),
)
with mapper(jobs) as do_map:
for commit, metrics in six.moves.zip(
commits, do_map(_get_metrics_inner, mp_args),
):
update_has_data(db, metrics, metric_mapping, has_data)
increment_metrics(metric_values, metric_mapping, metrics)
insert_metric_values(db, metric_values, has_data, commit)
insert_metric_changes(db, metrics, metric_mapping, commit)
def load_data(
database_file,
repo,
package_names,
skip_defaults,
tempdir_location,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
repo_parser = RepoParser(repo, tempdir_location=tempdir_location)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_name to a running value
metric_values = collections.defaultdict(int)
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits[0]
metric_values.update(get_metric_values(
db, compare_commit.sha,
))
commits = commits[1:]
for commit in commits:
if compare_commit is None:
diff = repo_parser.get_original_commit(commit.sha)
else:
diff = repo_parser.get_commit_diff(
compare_commit.sha, commit.sha,
)
metrics = get_metrics(diff, metric_parsers)
increment_metric_values(metric_values, metrics)
insert_metric_values(db, metric_values, metric_mapping, commit)
insert_metric_changes(db, metrics, metric_mapping, commit)
compare_commit = commit
def load_data(
database_file,
repo,
package_names,
skip_defaults,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
repo_parser = RepoParser(repo)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_name to a running value
metric_values = collections.defaultdict(int)
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits[0]
metric_values.update(get_metric_values(
db, compare_commit.sha,
))
commits = commits[1:]
mp_args = six.moves.zip(
[compare_commit] + commits,
commits,
itertools.repeat(repo_parser),
itertools.repeat(metric_parsers),
)
pool = multiprocessing.pool.Pool(15)
for commit, metrics in six.moves.zip(
commits, pool.imap(_get_metrics_inner, mp_args),
):
increment_metric_values(metric_values, metrics)
insert_metric_values(
db, metric_values, metric_mapping, commit,
)
insert_metric_changes(db, metrics, metric_mapping, commit)
def load_data(
database_file,
repo,
package_names,
skip_defaults,
tempdir_location,
):
metric_parsers = get_metric_parsers_from_args(package_names, skip_defaults)
with sqlite3.connect(database_file) as db:
metric_mapping = get_metric_mapping(db)
repo_parser = RepoParser(repo, tempdir_location=tempdir_location)
with repo_parser.repo_checked_out():
previous_sha = get_previous_sha(db)
commits = repo_parser.get_commits(since_sha=previous_sha)
# If there is nothing to check gtfo
if len(commits) == 1 and previous_sha is not None:
return
# Maps metric_name to a running value
metric_values = collections.defaultdict(int)
# Grab the state of our metrics at the last place
compare_commit = None
if previous_sha is not None:
compare_commit = commits[0]
metric_values.update(get_metric_values(
db, compare_commit.sha,
))
commits = commits[1:]
for commit in commits:
if compare_commit is None:
diff = repo_parser.get_original_commit(commit.sha)
else:
diff = repo_parser.get_commit_diff(
compare_commit.sha, commit.sha,
)
metrics = get_metrics(diff, metric_parsers)
increment_metric_values(metric_values, metrics)
insert_metric_values(db, metric_values, metric_mapping, commit)
insert_metric_changes(db, metrics, metric_mapping, commit)
compare_commit = commit
def insert_fake_metrics(db):
metric_mapping = get_metric_mapping(db)
metric_values = get_fake_metrics(metric_mapping)
for sha_part in ('a', 'b', 'c'):
commit = Commit(sha_part * 40, 1)
insert_metric_values(db, metric_values, metric_mapping, commit)