Snapshots

from tensorlake.sandbox import SandboxClient

client = SandboxClient()
sandbox = client.create_and_connect()
sandbox.run("pip", ["install", "numpy", "pandas"])
sandbox.run("python", ["-c", "import pandas as pd; pd.DataFrame({'a': [1,2,3]}).to_csv('/data/output.csv')"])

snapshot = client.snapshot_and_wait(sandbox.sandbox_id)
print(snapshot.snapshot_id)

curl -X POST https://api.tensorlake.ai/sandboxes/<sandbox-id>/snapshot \
  -H "Authorization: Bearer $TL_API_KEY"

restored = client.create_and_connect(snapshot_id=snapshot.snapshot_id)

result = restored.run("cat", ["/data/output.csv"])
print(result.stdout)

curl -X POST https://api.tensorlake.ai/sandboxes \
  -H "Authorization: Bearer $TL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "snapshot_id": "<snapshot-id>",
    "resources": {"cpus": 4.0, "memory_mb": 2048}
  }'

snapshots = client.list_snapshots()
for s in snapshots:
    print(f"{s.snapshot_id} | {s.status.value} | {s.size_bytes} bytes")

curl https://api.tensorlake.ai/snapshots \
  -H "Authorization: Bearer $TL_API_KEY"

curl https://api.tensorlake.ai/snapshots/<snapshot-id> \
  -H "Authorization: Bearer $TL_API_KEY"

client.delete_snapshot("snapshot_id")

curl -X DELETE https://api.tensorlake.ai/snapshots/<snapshot-id> \
  -H "Authorization: Bearer $TL_API_KEY"