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import gzip
import io
import json
import os
import zipfile
from pathlib import Path
from typing import Any, Dict, List
import boto3 # type: ignore[import]
import requests
import rockset # type: ignore[import]
PYTORCH_REPO = "https://api.github.com/repos/pytorch/pytorch"
S3_RESOURCE = boto3.resource("s3")
def _get_request_headers() -> Dict[str, str]:
return {
"Accept": "application/vnd.github.v3+json",
"Authorization": "token " + os.environ["GITHUB_TOKEN"],
}
def _get_artifact_urls(prefix: str, workflow_run_id: int) -> Dict[Path, str]:
"""Get all workflow artifacts with 'test-report' in the name."""
response = requests.get(
f"{PYTORCH_REPO}/actions/runs/{workflow_run_id}/artifacts?per_page=100",
)
artifacts = response.json()["artifacts"]
while "next" in response.links.keys():
response = requests.get(
response.links["next"]["url"], headers=_get_request_headers()
)
artifacts.extend(response.json()["artifacts"])
artifact_urls = {}
for artifact in artifacts:
if artifact["name"].startswith(prefix):
artifact_urls[Path(artifact["name"])] = artifact["archive_download_url"]
return artifact_urls
def _download_artifact(
artifact_name: Path, artifact_url: str, workflow_run_attempt: int
) -> Path:
# [Artifact run attempt]
# All artifacts on a workflow share a single namespace. However, we can
# re-run a workflow and produce a new set of artifacts. To avoid name
# collisions, we add `-runattempt1<run #>-` somewhere in the artifact name.
#
# This code parses out the run attempt number from the artifact name. If it
# doesn't match the one specified on the command line, skip it.
atoms = str(artifact_name).split("-")
for atom in atoms:
if atom.startswith("runattempt"):
found_run_attempt = int(atom[len("runattempt") :])
if workflow_run_attempt != found_run_attempt:
print(
f"Skipping {artifact_name} as it is an invalid run attempt. "
f"Expected {workflow_run_attempt}, found {found_run_attempt}."
)
print(f"Downloading {artifact_name}")
response = requests.get(artifact_url, headers=_get_request_headers())
with open(artifact_name, "wb") as f:
f.write(response.content)
return artifact_name
def download_s3_artifacts(
prefix: str, workflow_run_id: int, workflow_run_attempt: int
) -> List[Path]:
bucket = S3_RESOURCE.Bucket("gha-artifacts")
objs = bucket.objects.filter(
Prefix=f"pytorch/pytorch/{workflow_run_id}/{workflow_run_attempt}/artifact/{prefix}"
)
found_one = False
paths = []
for obj in objs:
found_one = True
p = Path(Path(obj.key).name)
print(f"Downloading {p}")
with open(p, "wb") as f:
f.write(obj.get()["Body"].read())
paths.append(p)
if not found_one:
print(
"::warning title=s3 artifacts not found::"
"Didn't find any test reports in s3, there might be a bug!"
)
return paths
def download_gha_artifacts(
prefix: str, workflow_run_id: int, workflow_run_attempt: int
) -> List[Path]:
artifact_urls = _get_artifact_urls(prefix, workflow_run_id)
paths = []
for name, url in artifact_urls.items():
paths.append(_download_artifact(Path(name), url, workflow_run_attempt))
return paths
def upload_to_rockset(collection: str, docs: List[Any]) -> None:
print(f"Writing {len(docs)} documents to Rockset")
client = rockset.Client(
api_server="api.rs2.usw2.rockset.com", api_key=os.environ["ROCKSET_API_KEY"]
)
client.Collection.retrieve(collection).add_docs(docs)
print("Done!")
def upload_to_s3(
workflow_run_id: int,
workflow_run_attempt: int,
collection: str,
docs: List[Dict[str, Any]],
) -> None:
print(f"Writing {len(docs)} documents to S3")
body = io.StringIO()
for doc in docs:
json.dump(doc, body)
body.write("\n")
S3_RESOURCE.Object(
"ossci-raw-job-status",
f"{collection}/{workflow_run_id}/{workflow_run_attempt}",
).put(
Body=gzip.compress(body.getvalue().encode()),
ContentEncoding="gzip",
ContentType="application/json",
)
print("Done!")
def unzip(p: Path) -> None:
"""Unzip the provided zipfile to a similarly-named directory.
Returns None if `p` is not a zipfile.
Looks like: /tmp/test-reports.zip -> /tmp/unzipped-test-reports/
"""
assert p.is_file()
unzipped_dir = p.with_name("unzipped-" + p.stem)
print(f"Extracting {p} to {unzipped_dir}")
with zipfile.ZipFile(p, "r") as zip:
zip.extractall(unzipped_dir)
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