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# coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
FILE: sample_conversation_pii_with_no_mask_policy.py
DESCRIPTION:
This sample demonstrates how to run a PII detection action over a conversation
using the `NoMaskPolicyType`, which detects PII but does NOT redact it
(the original text is returned).
USAGE:
python sample_conversation_pii_with_no_mask_policy.py
REQUIRED ENV VARS (for AAD / DefaultAzureCredential):
AZURE_CONVERSATIONS_ENDPOINT
AZURE_CLIENT_ID
AZURE_TENANT_ID
AZURE_CLIENT_SECRET
NOTE:
If you want to use AzureKeyCredential instead, set:
- AZURE_CONVERSATIONS_ENDPOINT
- AZURE_CONVERSATIONS_KEY
"""
# [START conversation_pii_with_no_mask_policy]
import os
from azure.identity import DefaultAzureCredential
from azure.ai.language.conversations import ConversationAnalysisClient
from azure.ai.language.conversations.models import (
MultiLanguageConversationInput,
TextConversation,
TextConversationItem,
ParticipantRole,
AnalyzeConversationOperationInput,
PiiOperationAction,
ConversationPiiActionContent,
NoMaskPolicyType,
ConversationPiiOperationResult,
ConversationalPiiResult,
NamedEntity,
ConversationError,
)
def sample_conversation_pii_with_no_mask_policy():
# settings
endpoint = os.environ["AZURE_CONVERSATIONS_ENDPOINT"]
credential = DefaultAzureCredential()
detected_entities = []
client = ConversationAnalysisClient(endpoint, credential=credential)
# build input
ml_input = MultiLanguageConversationInput(
conversations=[
TextConversation(
id="1",
language="en",
conversation_items=[
TextConversationItem(
id="1",
participant_id="Agent_1",
role=ParticipantRole.AGENT,
text="Can you provide your name?",
),
TextConversationItem(
id="2",
participant_id="Customer_1",
role=ParticipantRole.CUSTOMER,
text="Hi, my name is John Doe.",
),
TextConversationItem(
id="3",
participant_id="Agent_1",
role=ParticipantRole.AGENT,
text="Thank you John, that has been updated in our system.",
),
],
)
]
)
# action with NoMaskPolicyType (detect but do not redact)
pii_action = PiiOperationAction(
action_content=ConversationPiiActionContent(redaction_policy=NoMaskPolicyType()),
name="Conversation PII with No Mask Policy",
)
operation_input = AnalyzeConversationOperationInput(
conversation_input=ml_input,
actions=[pii_action],
)
# start long-running job (sync)
poller = client.begin_analyze_conversation_job(body=operation_input)
print(f"Operation ID: {poller.details.get('operation_id')}")
# wait for result
paged_actions = poller.result()
# final metadata
d = poller.details
print(f"Job ID: {d.get('job_id')}")
print(f"Status: {d.get('status')}")
if d.get("errors"):
print("Errors:")
for err in d["errors"]:
print(f" Code: {err.code} - {err.message}")
# iterate results
for actions_page in paged_actions:
for action_result in actions_page.task_results or []:
if isinstance(action_result, ConversationPiiOperationResult):
for conversation in action_result.results.conversations or []:
for item in conversation.conversation_items or []:
# NoMaskPolicyType returns original text (no redaction)
returned_text = (item.redacted_content.text or "").strip()
if not returned_text:
continue
if item.entities:
for entity in item.entities:
ent_text = entity.text or ""
detected_entities.append(ent_text)
if ent_text not in returned_text:
print(f"WARNING: Expected entity '{ent_text}' in returned text but not found.")
# [END conversation_pii_with_no_mask_policy]
def main():
sample_conversation_pii_with_no_mask_policy()
if __name__ == "__main__":
main()
|
