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uds.py
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uds.py
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import datetime
import hashlib
import json
import os
import pathlib
import shutil
import tempfile
from collections.abc import Iterator
import httpx
from attr import dataclass
def get_api_client() -> httpx.Client:
"""
Get an HTTP client that is authenticated with the Valohai API token,
and configured to use the base URL from the environment.
"""
client = httpx.Client(
base_url=os.environ.get("VH_API_BASE_URL", "https://app.valohai.com/"),
timeout=5,
)
valohai_api_token = os.environ["VH_API_TOKEN"]
client.headers["Authorization"] = f"Token {valohai_api_token}"
return client
@dataclass(frozen=True)
class LatestVersionData:
dataset_dict: dict
version_dict: dict | None = None
def get_latest_version_data(
api_client: httpx.Client,
dataset_id: str,
) -> LatestVersionData:
"""Return the info for the latest version in the dataset."""
dataset_resp = api_client.get(f"/api/v0/datasets/{dataset_id}/")
dataset_resp.raise_for_status()
dataset_data = dataset_resp.json()
latest_version_info = dataset_data.get("latest_version")
if latest_version_info is None:
return LatestVersionData(dataset_dict=dataset_data)
latest_version_id = latest_version_info["id"]
latest_version_resp = api_client.get(
f"/api/v0/dataset-versions/{latest_version_id}/",
)
latest_version_resp.raise_for_status()
return LatestVersionData(
dataset_dict=dataset_data,
version_dict=latest_version_resp.json(),
)
def get_change_reason(local_path: pathlib.Path, datum: dict) -> str | None:
local_stat = local_path.stat()
if local_stat.st_size != datum["size"]:
return "size changed"
for hash_algo in ("md5", "sha1", "sha256"):
if datum_hash := datum.get(hash_algo):
with local_path.open("rb") as f:
hasher = getattr(hashlib, hash_algo)
local_hash = hasher(f.read()).hexdigest()
if local_hash != datum_hash:
return f"{hash_algo} changed"
return None
@dataclass(frozen=True)
class CompareResult:
new_name_to_path: dict[str, pathlib.Path]
old_name_to_datum_id: dict[str, str]
exclude_names: set[str]
def compare_dir_to_dataset_version(
content_dir: pathlib.Path,
version_files: list[dict],
) -> CompareResult:
content_files = {p.name: p for p in content_dir.iterdir() if p.is_file()}
old_version_name_to_datum = {
file["datum"]["name"]: file["datum"] for file in version_files
}
new_name_to_path = {}
old_name_to_datum_id = {}
exclude_names = set()
for name, path in content_files.items():
if name not in old_version_name_to_datum:
new_name_to_path[name] = path
print(f"{name}: new file, will to upload")
for name, datum_info in old_version_name_to_datum.items():
local_file_path = content_files.get(name)
if not local_file_path:
print(f"{name}: not in local directory, will not keep in dataset")
exclude_names.add(name)
continue
change_reason = get_change_reason(local_file_path, datum_info)
if change_reason:
print(f"{name}: changed – {change_reason}, need to upload")
new_name_to_path[name] = local_file_path
# Make sure we don't keep the old version by any chance
exclude_names.add(name)
else:
print(f"{name}: no changes detected. Keeping in dataset")
old_name_to_datum_id[name] = datum_info["id"]
return CompareResult(
new_name_to_path=new_name_to_path,
old_name_to_datum_id=old_name_to_datum_id,
exclude_names=exclude_names,
)
def do_dataset_compare_and_move_content(
api_client: httpx.Client,
dataset_id: str,
content_dir: pathlib.Path,
) -> None:
output_dir = pathlib.Path("/valohai/outputs")
lvd = get_latest_version_data(api_client, dataset_id)
dataset_name = lvd.dataset_dict["name"]
timestamp = datetime.datetime.now(datetime.UTC)
new_version_name = timestamp.strftime("%Y%m%d-%H%M%S")
new_version_uri = f"dataset://{dataset_name}/{new_version_name}"
old_version_dict = lvd.version_dict
if old_version_dict: # Have an old version?
old_version_uri = f"dataset://{dataset_name}/{old_version_dict['name']}"
else:
old_version_uri = None
print("Old version URI:", old_version_uri)
print("New version URI:", new_version_uri)
cr = compare_dir_to_dataset_version(
content_dir,
version_files=old_version_dict["files"] if old_version_dict else [],
)
# Generate a sidecar data that tells Valohai to use the old version as a base
# and exclude the files that we don't want to keep. This is a bit of a hack;
# we should have a better way to absolutely specify the contents of a new version
# in terms of (some) outputs of an execution, and (some) contents of an existing dataset.
sidecar_data = json.dumps(
{
"valohai.dataset-versions": [
{
"uri": new_version_uri,
"from": old_version_uri,
"exclude": sorted(cr.exclude_names),
},
],
},
)
if not cr.new_name_to_path:
# Hack – if there are no new files to upload,
# we need to upload a dummy file to trigger the dataset version creation...
marker = output_dir / "dataset-marker.txt"
marker.write_text(timestamp.isoformat())
cr.new_name_to_path[marker.name] = marker
for name, path in cr.new_name_to_path.items():
output_path = output_dir / name
if path != output_path:
shutil.move(path, output_path)
output_path.with_suffix(
f"{output_path.suffix}.metadata.json",
).write_text(sidecar_data)
def generate_new_content(
new_file_names: list[str],
new_file_contents: list[str],
) -> pathlib.Path:
# This would be replaced by your own code that retrieves and converts the new content
content_dir = pathlib.Path(tempfile.mkdtemp())
def content_gen() -> Iterator[str]:
while True:
yield from new_file_contents
contents = content_gen()
for name in new_file_names:
(content_dir / name).write_text(next(contents))
return content_dir
def main() -> None:
params_file = (
pathlib.Path(os.environ.get("VH_CONFIG_DIR", "/valohai/config"))
/ "parameters.json"
)
if params_file.is_file():
params = json.loads(params_file.read_text())
else:
params = {}
print("Parameters:", params)
dataset_id = params.get("dataset-id")
if not dataset_id:
raise ValueError("No dataset ID provided")
content_dir = generate_new_content(
new_file_names=params.get(
"new-file-names",
["file1.csv", "file2.csv", "file3.csv"],
),
new_file_contents=params.get("new-file-contents", ["foofoo", "barbar"]),
)
with get_api_client() as api_client:
do_dataset_compare_and_move_content(api_client, dataset_id, content_dir)
if __name__ == "__main__":
main()