def test_read_context_with_detignore(tmp_path: Path) -> None:
with FileTree(tmp_path, {"A.py": "", "B.py": "", "C.py": ""}) as tree:
model_def, _ = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "B.py", "C.py"}
with FileTree(tmp_path, {"A.py": "", "B.py": "", "C.py": "", ".detignore": "\nA.py\n"}) as tree:
model_def, size = context.read_context(tree)
assert {f["path"] for f in model_def} == {"B.py", "C.py"}
with FileTree(tmp_path, {"A.py": "", "B.py": "", "C.py": "", ".detignore": "\n*.py\n"}) as tree:
model_def, size = context.read_context(tree)
assert model_def == []
def test_read_context_ignore_pycaches(tmp_path: Path) -> None:
with FileTree(
tmp_path,
{
"__pycache__/A.cpython-37.pyc": "",
"A.py": "",
"subdir/A.py": "",
"subdir/__pycache__/A.cpython-37.pyc": "",
},
) as tree:
model_def, _ = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "subdir", "subdir/A.py"}
def launch_command(
master: str,
endpoint: str,
config: Dict[str, Any],
template: str,
context_path: Optional[Path] = None,
data: Optional[Dict[str, Any]] = None,
) -> Any:
user_files = [] # type: List[Dict[str, Any]]
if context_path:
user_files, _ = context.read_context(context_path)
return api.post(
master,
endpoint,
body={"config": config, "template": template, "user_files": user_files, "data": data},
).json()
def start_tensorboard(args: Namespace) -> None:
if args.trial_ids is None and args.experiment_ids is None:
print("Either experiment_ids or trial_ids must be specified.")
sys.exit(1)
config = parse_config(args.config_file, None, [], [])
req_body = {
"config": config,
"trial_ids": args.trial_ids,
"experiment_ids": args.experiment_ids,
}
if args.context is not None:
req_body["user_files"], _ = context.read_context(
args.context, constants.MAX_CONTEXT_SIZE)
resp = api.post(args.master, "tensorboard", body=req_body).json()
if args.detach:
print(resp["id"])
return
url = "tensorboard/{}/events".format(resp["id"])
with api.ws(args.master, url) as ws:
for msg in ws:
if msg["log_event"] is not None:
# TensorBoard will print a url by default. The URL is incorrect since
# TensorBoard is not aware of the master proxy address it is assigned.
if "http" in msg["log_event"]:
continue
if msg["service_ready_event"]:
if args.no_browser:
url = api.make_url(args.master, resp["service_address"])
else:
url = api.open(args.master, resp["service_address"])
print(
colored("TensorBoard is running at: {}".format(url),
"green"))
render_event_stream(msg)
break
render_event_stream(msg)
def test_read_context(tmp_path: Path) -> None:
with FileTree(tmp_path, {"A.py": "", "B.py": "", "C.py": ""}) as tree:
model_def, _ = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "B.py", "C.py"}
def test_read_context_with_detignore_subdirs(tmp_path: Path) -> None:
with FileTree(
tmp_path,
{
"A.py": "",
"B.py": "",
Path("subdir").joinpath("A.py"): "",
Path("subdir").joinpath("B.py"): "",
},
) as tree:
model_def, _ = context.read_context(tree)
assert {f["path"] for f in model_def} == {
"A.py",
"B.py",
"subdir",
"subdir/A.py",
"subdir/B.py",
}
with FileTree(
tmp_path,
{
"A.py": "",
"B.py": "",
".detignore": "\nA.py\n",
Path("subdir").joinpath("A.py"): "",
Path("subdir").joinpath("B.py"): "",
},
) as tree:
model_def, size = context.read_context(tree)
assert {f["path"] for f in model_def} == {"B.py", "subdir", "subdir/B.py"}
with FileTree(
tmp_path,
{
"A.py": "",
"B.py": "",
Path("subdir").joinpath("A.py"): "",
Path("subdir").joinpath("B.py"): "",
".detignore": "\nsubdir/A.py\n",
},
) as tree:
model_def, size = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "B.py", "subdir", "subdir/B.py"}
with FileTree(
tmp_path,
{
"A.py": "",
"B.py": "",
Path("subdir").joinpath("A.py"): "",
Path("subdir").joinpath("B.py"): "",
".detignore": "\n*.py\n",
},
) as tree:
model_def, size = context.read_context(tree)
assert len(model_def) == 1
with FileTree(
tmp_path,
{"A.py": "", "B.py": "", "subdir/A.py": "", "subdir/B.py": "", ".detignore": "\nsubdir\n"},
) as tree:
model_def, size = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "B.py"}
with FileTree(
tmp_path,
{
"A.py": "",
"B.py": "",
"subdir/A.py": "",
"subdir/B.py": "",
".detignore": "\nsubdir/\n",
},
) as tree:
model_def, size = context.read_context(tree)
assert {f["path"] for f in model_def} == {"A.py", "B.py"}
