Python SDK

pip install avala

from avala import Client

client = Client(api_key="your-api-key")

# Alle Datensätze auflisten
datasets = client.datasets.list()
for dataset in datasets:
    print(dataset.name, dataset.uid)

from avala import signup

result = signup(
    email="dev@acme.com",
    password="SecurePass123!",
    first_name="Jane",       # optional
    last_name="Doe",         # optional
)

print(f"User: {result.user.email}")
print(f"API Key: {result.api_key}")

from avala import async_signup

result = await async_signup(email="dev@acme.com", password="SecurePass123!")

from avala import Client

client = Client(api_key="your-api-key")

export AVALA_API_KEY="your-api-key"

from avala import Client

# Liest automatisch AVALA_API_KEY aus der Umgebung
client = Client()

import asyncio
from avala import AsyncClient

async def main():
    client = AsyncClient(api_key="your-api-key")

    datasets = await client.datasets.list()
    for dataset in datasets:
        print(dataset.name)

    # Client immer schließen wenn fertig, oder als Context Manager verwenden
    await client.close()

asyncio.run(main())

import asyncio
from avala import AsyncClient

async def main():
    async with AsyncClient() as client:
        datasets = await client.datasets.list()
        for dataset in datasets:
            print(dataset.name)

asyncio.run(main())

datasets = client.datasets.list()

for dataset in datasets:
    print(f"{dataset.name} ({dataset.uid})")
    print(f"  Elemente: {dataset.item_count}")
    print(f"  Erstellt: {dataset.created_at}")

dataset = client.datasets.get("550e8400-e29b-41d4-a716-446655440000")

print(dataset.name)
print(dataset.slug)
print(dataset.item_count)

projects = client.projects.list()

for project in projects:
    print(f"{project.name} ({project.uid})")
    print(f"  Status: {project.status}")
    print(f"  Erstellt: {project.created_at}")

project = client.projects.get("770a9600-a40d-63f6-c938-668877660000")

print(project.name)
print(project.status)

tasks = client.tasks.list(project="770a9600-a40d-63f6-c938-668877660000", status="pending")

for task in tasks:
    print(f"{task.uid} — {task.name} ({task.status})")

task = client.tasks.get("990c1800-b62f-85a8-e150-880099880000")

print(task.name)
print(task.status)

export = client.exports.create(project="770a9600-a40d-63f6-c938-668877660000")

print(f"Export gestartet: {export.uid}")
print(f"Status: {export.status}")

import time

export = client.exports.create(project="770a9600-a40d-63f6-c938-668877660000")

while export.status != "completed":
    time.sleep(2)
    export = client.exports.get(export.uid)
    print(f"Status: {export.status}")

print(f"Download: {export.download_url}")

orgs = client.organizations.list()
for org in orgs:
    print(f"{org.name} ({org.slug})")

org = client.organizations.create(name="My Team", visibility="private", industry="technology")
print(f"Erstellt: {org.name} ({org.uid})")

members = client.organizations.list_members("my-team")
for member in members:
    print(f"{member.full_name} - {member.role}")

slices = client.slices.list("my-org")
for s in slices:
    print(f"{s.name}: {s.item_count} Elemente")

items = client.datasets.list_items("my-org", "my-dataset")
for item in items:
    print(f"{item.uid}: {item.key}")

sequences = client.datasets.list_sequences("my-org", "my-dataset")
for seq in sequences:
    print(f"{seq.uid}: {seq.key} ({seq.number_of_frames} Frames)")

from avala.types import Dataset, Project, Export, Task

def process_dataset(dataset: Dataset) -> None:
    print(dataset.name)        # str
    print(dataset.uid)         # str
    print(dataset.item_count)  # int
    print(dataset.created_at)  # Optional[datetime]

def process_task(task: Task) -> None:
    print(task.uid)            # str
    print(task.name)           # Optional[str]
    print(task.status)         # Optional[str]
    print(task.project)        # Optional[str]

from avala import Client
from avala.errors import (
    AvalaError,
    NotFoundError,
    RateLimitError,
    ValidationError,
)

client = Client()

try:
    dataset = client.datasets.get("nonexistent")
except NotFoundError as e:
    print(f"Datensatz nicht gefunden: {e.message}")
except RateLimitError as e:
    print(f"Rate-Limit erreicht. Erneut versuchen nach {e.retry_after} Sekunden.")
except ValidationError as e:
    print(f"Ungültige Anfrage: {e.message}")
    for detail in e.details:
        print(f"  - {detail}")
except AvalaError as e:
    # Auffang für alle anderen Avala API-Fehler
    print(f"API-Fehler ({e.status_code}): {e.message}")

# Über Elemente auf der aktuellen Seite iterieren
for dataset in client.datasets.list():
    print(dataset.name)

# Manuelle Paginierung — Seitengröße steuern und auf Cursor zugreifen
page = client.datasets.list(limit=10)
for dataset in page.items:
    print(dataset.name)

# Nächste Seite abrufen
if page.has_more:
    next_page = client.datasets.list(limit=10, cursor=page.next_cursor)

# Online-Geräte auflisten
devices = client.fleet.devices.list(status="online")

# Ein Zeitleisten-Event auf einer Aufnahme erstellen
event = client.fleet.events.create(
    recording_id="rec_abc123",
    timestamp="2026-01-15T10:30:00Z",
    type="anomaly",
    label="Gripper force spike",
    metadata={"force_n": 45.2}
)

# Eine Aufnahmeregel erstellen
rule = client.fleet.rules.create(
    name="High Latency Alert",
    condition={"type": "threshold", "topic": "/diagnostics/latency", "field": "data.value", "operator": "gt", "value": 100},
    actions=[{"type": "tag", "value": "high-latency"}, {"type": "notify", "channel_id": "ch_your_channel_id"}]
)

from avala import Client

client = Client(
    api_key="your-api-key",
    base_url="https://api.avala.ai/api/v1",  # Standard
    timeout=60,        # Request-Timeout in Sekunden (Standard: 30)
    max_retries=3,     # Anzahl der Wiederholungsversuche bei transienten Fehlern (Standard: 2)
)