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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_import_project_async.py
DESCRIPTION:
This sample demonstrates how to import a Conversation Authoring project (async).
USAGE:
python sample_import_project_async.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_CONVERSATIONS_AUTHORING_ENDPOINT
- AZURE_CONVERSATIONS_AUTHORING_KEY
OPTIONAL ENV VARS:
PROJECT_NAME # defaults to "<project-name>"
"""
# [START conversation_authoring_import_project_async]
import os
import asyncio
from azure.identity import DefaultAzureCredential
from azure.core.exceptions import HttpResponseError
from azure.ai.language.conversations.authoring.aio import ConversationAuthoringClient
from azure.ai.language.conversations.authoring.models import (
ConversationExportedIntent,
ConversationExportedEntity,
ConversationExportedUtterance,
ExportedUtteranceEntityLabel,
ConversationExportedProjectAsset,
CreateProjectOptions,
ProjectKind,
ProjectSettings,
ExportedProject,
ExportedProjectFormat,
)
async def sample_import_project_async():
# settings
endpoint = os.environ["AZURE_CONVERSATIONS_AUTHORING_ENDPOINT"]
project_name = os.environ.get("PROJECT_NAME", "<project-name>")
# async client (AAD)
credential = DefaultAzureCredential()
async with ConversationAuthoringClient(endpoint, credential=credential) as client:
project_client = client.get_project_client(project_name)
# ----- Build assets using objects (placeholders) -----
intents = [
ConversationExportedIntent(category="<intent-a>"),
ConversationExportedIntent(category="<intent-b>"),
]
entities = [
ConversationExportedEntity(
category="<entity-a>",
composition_mode="combineComponents",
)
]
u1 = ConversationExportedUtterance(
text="<utterance-1>",
intent="<intent-b>",
language="<language-tag>", # e.g., "en-us"
dataset="Train",
entities=[ExportedUtteranceEntityLabel(category="<entity-a>", offset=0, length=5)],
)
u2 = ConversationExportedUtterance(
text="<utterance-2>",
intent="<intent-b>",
language="<language-tag>",
dataset="Train",
entities=[ExportedUtteranceEntityLabel(category="<entity-a>", offset=0, length=5)],
)
u3 = ConversationExportedUtterance(
text="<utterance-3>",
intent="<intent-b>",
language="<language-tag>",
dataset="Train",
entities=[ExportedUtteranceEntityLabel(category="<entity-a>", offset=0, length=4)],
)
assets = ConversationExportedProjectAsset(
intents=intents,
entities=entities,
utterances=[u1, u2, u3],
)
metadata = CreateProjectOptions(
project_kind=ProjectKind.CONVERSATION,
project_name=project_name, # required
language="<language-tag>", # required (e.g., "en-us")
settings=ProjectSettings(confidence_threshold=0.0),
multilingual=False,
description="",
)
exported_project = ExportedProject(
project_file_version="<project-file-version>", # e.g., "2025-05-15-preview"
string_index_type="Utf16CodeUnit",
metadata=metadata,
assets=assets,
)
# ----- begin import (async long-running operation) -----
poller = await project_client.project.begin_import(
body=exported_project,
exported_project_format=ExportedProjectFormat.CONVERSATION,
)
try:
await poller.result()
print("Import completed.")
print(f"done: {poller.done()}")
print(f"status: {poller.status()}")
except HttpResponseError as e:
print(f"Operation failed: {e.message}")
print(e.error)
# [END conversation_authoring_import_project_async]
async def main():
await sample_import_project_async()
if __name__ == "__main__":
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
|
