class Halstead(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.endswith(".py"))
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
try:
h_data = h_visit(tup.blob.data.decode())
except (SyntaxError, UnicodeDecodeError):
return [] # TODO get an error output?
result = [
Metric(
self.name,
fn_data._asdict(),
False,
ObjectIdentifier(tup.blob.id, tup.path),
fn_name,
)
for fn_name, fn_data in h_data.functions
]
result.append(
Metric(
self.name,
h_data.total._asdict(),
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
)
return result
class Nesting(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.endswith(".py"))
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
result = [
Metric(
self.name,
NestingASTVisitor().visit(parse(tup.blob.obj.data)).result,
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
]
return result
class Pylinecount(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.is_binary())
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
result = [
Metric(
self.name,
tup.blob.obj.data.count(b"\n") + 1,
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
]
return result
class Linelength(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.is_binary())
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
result = [
Metric(
self.name,
len(line),
False,
ObjectIdentifier(tup.blob.id, tup.path),
f"L{i+1}",
) for i, line in enumerate(tup.blob.obj.data.split(b"\n"))
]
return result
class Linecount(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.is_binary())
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
p = await create_subprocess_exec("wc", "-l", stdin=PIPE, stdout=PIPE)
stdout, _ = await p.communicate(tup.blob.data)
result = [
Metric(
self.name,
int(stdout),
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
]
return result
class Raw(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.endswith(".py"))
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
try:
r_data = analyze(tup.blob.data.decode())
except (SyntaxError, UnicodeDecodeError):
return [] # TODO get an error output?
result = [
Metric(
self.name,
r_data._asdict(),
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
]
return result
class Maintainability(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.endswith(".py"))
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
try:
mi_data = mi_visit(tup.blob.data.decode(), multi=True)
except (SyntaxError, UnicodeDecodeError):
return [] # TODO get an error output?
result = [
Metric(
self.name,
float(mi_data),
False,
ObjectIdentifier(tup.blob.id, tup.path),
)
]
return result
class Complexity(NativeBlobMetric):
filter = NativeBlobFilter(NativeBlobFilter.endswith(".py"))
async def analyze(self, tup: NativeBlobMetricInput) -> Iterable[Metric]:
try:
cc_data = cc_visit(tup.blob.data)
except (SyntaxError, UnicodeDecodeError):
return [] # TODO get an error output?
result = [
Metric(
self.name,
subobject.complexity,
False,
ObjectIdentifier(tup.blob.id, tup.path),
subobject.fullname,
) for subobject in cc_data
]
return result