Implementing Redaction of Sensitive Audio Segments in Genesys Cloud Recordings Using the Media API and Python FFmpeg

Implementing Redaction of Sensitive Audio Segments in Genesys Cloud Recordings Using the Media API and Python FFmpeg

What You Will Build

  • Download a Genesys Cloud recording, programmatically mute specified time ranges using FFmpeg, and upload the sanitized file back to the platform for GDPR compliance.
  • Uses the Genesys Cloud Media API and the ffmpeg-python library in Python.
  • Covers OAuth2 authentication, HTTP streaming download, audio filter construction, multipart upload, and exponential backoff retry logic.

Prerequisites

  • OAuth 2.0 Client Credentials flow configured in Genesys Cloud with a valid client_id and client_id
  • Required scopes: media:read, media:write
  • Python 3.9+ runtime
  • FFmpeg binary installed and accessible in the system PATH
  • Dependencies: requests>=2.31.0, ffmpeg-python>=0.2.0
  • A valid Genesys Cloud recording ID (recordingId) and a list of redaction windows in seconds [(start, end), ...]

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials flow for server-to-server API access. The token expires after twenty minutes, so production code must cache the token and refresh it when expired. The following function handles token acquisition and basic TTL caching.

import requests
import time
from typing import Optional

GENESYS_BASE_URL = "https://api.mypurecloud.com"
TOKEN_ENDPOINT = f"{GENESYS_BASE_URL}/oauth/token"

class TokenCache:
    def __init__(self) -> None:
        self._token: Optional[str] = None
        self._expires_at: float = 0.0

    def get_token(self, client_id: str, client_secret: str) -> str:
        if self._token and time.time() < self._expires_at - 60:
            return self._token

        payload = {
            "grant_type": "client_credentials",
            "client_id": client_id,
            "client_secret": client_secret
        }

        response = requests.post(TOKEN_ENDPOINT, data=payload)
        response.raise_for_status()

        data = response.json()
        self._token = data["access_token"]
        self._expires_at = time.time() + data["expires_in"]
        return self._token

The get_token method returns a bearer token valid for the media:read and media:write scopes. You will attach this token to the Authorization header for all subsequent Media API calls.

Implementation

Step 1: Retrieve Recording Metadata and Secure Download URL

Genesys Cloud does not expose raw audio files directly in the recording metadata object. You must first fetch the recording entity to obtain a time-limited downloadUrl. The endpoint requires the media:read scope.

HTTP Request Cycle

GET /api/v2/recordings/{recordingId} HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Accept: application/json

Realistic Response Body

{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "recordingType": "conversation",
  "mediaType": "audio",
  "downloadUrl": "https://media.mypurecloud.com/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890?token=xyz",
  "status": "completed",
  "createdDate": "2024-05-10T14:30:00Z"
}

The following function fetches the metadata and validates that the recording is in a completed state before proceeding.

def get_recording_download_url(token: str, recording_id: str) -> str:
    headers = {
        "Authorization": f"Bearer {token}",
        "Accept": "application/json"
    }
    url = f"{GENESYS_BASE_URL}/api/v2/recordings/{recording_id}"
    response = requests.get(url, headers=headers)
    
    if response.status_code == 401:
        raise RuntimeError("Authentication failed. Verify OAuth token and scopes.")
    if response.status_code == 403:
        raise RuntimeError("Forbidden. The recording may be locked or the account lacks media:read scope.")
    response.raise_for_status()
    
    recording = response.json()
    if recording.get("status") != "completed":
        raise ValueError(f"Recording {recording_id} is not in 'completed' state. Current state: {recording.get('status')}")
    
    return recording["downloadUrl"]

Step 2: Download Audio and Apply FFmpeg Redaction

The ffmpeg-python wrapper exposes a Pythonic interface to FFmpeg. To redact sensitive segments without dropping audio continuity, you use the volume filter with a conditional enable expression. The expression between(t,start,end) evaluates to 1 when the current timestamp falls within the range, and 0 otherwise. By summing multiple between() calls, you create a single filter that mutes all specified windows.

Filter Construction Logic
If you need to mute 10.0 to 15.0 seconds and 30.5 to 35.2 seconds, the FFmpeg expression becomes:
enable='between(t,10.0,15.0)+between(t,30.5,35.2)':volume=0.001

The following function streams the download to a temporary file, applies the filter, and returns the path to the redacted audio.

import tempfile
import ffmpeg
from typing import List, Tuple

def download_and_redact(
    download_url: str,
    redaction_windows: List[Tuple[float, float]],
    output_format: str = "wav"
) -> str:
    # Stream download to temporary input file
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_in:
        response = requests.get(download_url, stream=True)
        response.raise_for_status()
        for chunk in response.iter_content(chunk_size=8192):
            tmp_in.write(chunk)
        input_path = tmp_in.name

    output_path = tempfile.mktemp(suffix=f".{output_format}")
    
    # Build FFmpeg enable expression
    if not redaction_windows:
        raise ValueError("Redaction windows list cannot be empty.")
    
    between_clauses = [f"between(t,{start},{end})" for start, end in redaction_windows]
    enable_expr = f"'{'+'.join(between_clauses)}'"
    
    try:
        (
            ffmpeg
            .input(input_path)
            .output(output_path, af=f"volume=enable={enable_expr}:volume=0.001")
            .overwrite_output()
            .run(capture_stdout=True, capture_stderr=True)
        )
    except ffmpeg.Error as e:
        raise RuntimeError(f"FFmpeg processing failed: {e.stderr.decode()}") from e
    finally:
        import os
        os.unlink(input_path)
        
    return output_path

The volume=0.001 parameter reduces audio to near silence while preserving the original waveform duration. This prevents downstream transcription services from misaligning timestamps.

Step 3: Upload Redacted Audio to Genesys Cloud

Genesys Cloud uses a three-step upload workflow for recordings. First, you create a recording object via POST /api/v2/recordings. The response returns a presigned uploadUrl. Second, you transfer the file to that URL using a PUT request. Third, you notify Genesys Cloud that the upload is complete via POST /api/v2/recordings/{id}/upload/complete. This workflow requires the media:write scope.

HTTP Request Cycle (Step 1: Create Recording Object)

POST /api/v2/recordings HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json

Request Body

{
  "recordingType": "conversation",
  "mediaType": "audio",
  "conversationId": "original-conversation-id"
}

Response Body

{
  "id": "new-recording-id-123",
  "uploadUrl": "https://media.mypurecloud.com/upload/new-recording-id-123?token=abc"
}

HTTP Request Cycle (Step 2: Transfer File)

PUT https://media.mypurecloud.com/upload/new-recording-id-123?token=abc HTTP/1.1
Content-Type: audio/wav
Content-Length: 1048576

HTTP Request Cycle (Step 3: Finalize)

POST /api/v2/recordings/new-recording-id-123/upload/complete HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json

The following function handles the complete upload cycle with built-in 429 retry logic.

import time
import json
from typing import Dict, Any

def retry_on_429(func, max_retries: int = 3, base_delay: float = 1.0):
    def wrapper(*args, **kwargs):
        for attempt in range(max_retries + 1):
            response = func(*args, **kwargs)
            if response.status_code == 429:
                wait_time = base_delay * (2 ** attempt)
                time.sleep(wait_time)
                continue
            return response
        raise RuntimeError("Max retries exceeded for 429 Too Many Requests")
    return wrapper

def upload_redacted_recording(
    token: str,
    audio_path: str,
    original_conversation_id: str,
    media_type: str = "audio/wav"
) -> Dict[str, Any]:
    headers_auth = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    
    # Step 1: Create recording object
    create_payload = {
        "recordingType": "conversation",
        "mediaType": "audio",
        "conversationId": original_conversation_id
    }
    create_response = requests.post(
        f"{GENESYS_BASE_URL}/api/v2/recordings",
        headers=headers_auth,
        json=create_payload
    )
    create_response.raise_for_status()
    recording_data = create_response.json()
    recording_id = recording_data["id"]
    upload_url = recording_data["uploadUrl"]
    
    # Step 2: Upload file with retry logic
    def do_file_upload():
        with open(audio_path, "rb") as f:
            return requests.put(upload_url, data=f, headers={"Content-Type": media_type})
    
    upload_response = retry_on_429(do_file_upload)()
    upload_response.raise_for_status()
    
    # Step 3: Finalize upload
    complete_response = requests.post(
        f"{GENESYS_BASE_URL}/api/v2/recordings/{recording_id}/upload/complete",
        headers=headers_auth
    )
    complete_response.raise_for_status()
    
    return {
        "recordingId": recording_id,
        "status": "completed",
        "uploadUrl": upload_url
    }

The retry_on_429 decorator implements exponential backoff. Genesys Cloud enforces rate limits per tenant and per endpoint. The decorator catches 429 responses, sleeps for 1.0 * 2^attempt seconds, and retries up to three times before raising an exception.

Complete Working Example

The following script combines authentication, download, redaction, and upload into a single executable module. Replace the placeholder credentials and recording ID before execution.

import os
import sys
import requests
import tempfile
import ffmpeg
import time
from typing import List, Tuple, Dict, Any, Optional

GENESYS_BASE_URL = "https://api.mypurecloud.com"
TOKEN_ENDPOINT = f"{GENESYS_BASE_URL}/oauth/token"

class TokenCache:
    def __init__(self) -> None:
        self._token: Optional[str] = None
        self._expires_at: float = 0.0

    def get_token(self, client_id: str, client_secret: str) -> str:
        if self._token and time.time() < self._expires_at - 60:
            return self._token
        payload = {
            "grant_type": "client_credentials",
            "client_id": client_id,
            "client_secret": client_secret
        }
        response = requests.post(TOKEN_ENDPOINT, data=payload)
        response.raise_for_status()
        data = response.json()
        self._token = data["access_token"]
        self._expires_at = time.time() + data["expires_in"]
        return self._token

def get_recording_download_url(token: str, recording_id: str) -> str:
    headers = {"Authorization": f"Bearer {token}", "Accept": "application/json"}
    url = f"{GENESYS_BASE_URL}/api/v2/recordings/{recording_id}"
    response = requests.get(url, headers=headers)
    if response.status_code == 401:
        raise RuntimeError("Authentication failed. Verify OAuth token and scopes.")
    if response.status_code == 403:
        raise RuntimeError("Forbidden. Verify media:read scope.")
    response.raise_for_status()
    recording = response.json()
    if recording.get("status") != "completed":
        raise ValueError(f"Recording status is {recording.get('status')}, expected 'completed'.")
    return recording["downloadUrl"]

def download_and_redact(download_url: str, redaction_windows: List[Tuple[float, float]]) -> str:
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_in:
        response = requests.get(download_url, stream=True)
        response.raise_for_status()
        for chunk in response.iter_content(chunk_size=8192):
            tmp_in.write(chunk)
        input_path = tmp_in.name

    output_path = tempfile.mktemp(suffix=".wav")
    if not redaction_windows:
        raise ValueError("Redaction windows cannot be empty.")
    
    between_clauses = [f"between(t,{start},{end})" for start, end in redaction_windows]
    enable_expr = f"'{'+'.join(between_clauses)}'"
    
    try:
        (
            ffmpeg
            .input(input_path)
            .output(output_path, af=f"volume=enable={enable_expr}:volume=0.001")
            .overwrite_output()
            .run(capture_stdout=True, capture_stderr=True)
        )
    except ffmpeg.Error as e:
        raise RuntimeError(f"FFmpeg failed: {e.stderr.decode()}") from e
    finally:
        os.unlink(input_path)
    return output_path

def retry_on_429(func, max_retries: int = 3, base_delay: float = 1.0):
    def wrapper(*args, **kwargs):
        for attempt in range(max_retries + 1):
            response = func(*args, **kwargs)
            if response.status_code == 429:
                time.sleep(base_delay * (2 ** attempt))
                continue
            return response
        raise RuntimeError("Max retries exceeded for 429")
    return wrapper

def upload_redacted_recording(token: str, audio_path: str, conversation_id: str) -> Dict[str, Any]:
    headers_auth = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
    create_payload = {
        "recordingType": "conversation",
        "mediaType": "audio",
        "conversationId": conversation_id
    }
    create_resp = requests.post(f"{GENESYS_BASE_URL}/api/v2/recordings", headers=headers_auth, json=create_payload)
    create_resp.raise_for_status()
    data = create_resp.json()
    recording_id = data["id"]
    upload_url = data["uploadUrl"]

    def do_upload():
        with open(audio_path, "rb") as f:
            return requests.put(upload_url, data=f, headers={"Content-Type": "audio/wav"})

    upload_resp = retry_on_429(do_upload)()
    upload_resp.raise_for_status()

    complete_resp = requests.post(f"{GENESYS_BASE_URL}/api/v2/recordings/{recording_id}/upload/complete", headers=headers_auth)
    complete_resp.raise_for_status()
    return {"recordingId": recording_id, "status": "completed"}

def main() -> None:
    CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
    CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
    RECORDING_ID = os.getenv("GENESYS_RECORDING_ID")
    CONVERSATION_ID = os.getenv("GENESYS_CONVERSATION_ID")
    
    if not all([CLIENT_ID, CLIENT_SECRET, RECORDING_ID, CONVERSATION_ID]):
        print("Missing required environment variables.")
        sys.exit(1)

    cache = TokenCache()
    token = cache.get_token(CLIENT_ID, CLIENT_SECRET)
    
    print("Fetching recording metadata...")
    download_url = get_recording_download_url(token, RECORDING_ID)
    
    # Example: Mute 10.0-15.0s and 30.0-35.0s
    redaction_windows = [(10.0, 15.0), (30.0, 35.0)]
    print("Downloading and applying redaction...")
    redacted_path = download_and_redact(download_url, redaction_windows)
    
    print("Uploading redacted recording...")
    result = upload_redacted_recording(token, redacted_path, CONVERSATION_ID)
    print(f"Redaction complete. New recording ID: {result['recordingId']}")
    os.unlink(redacted_path)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The OAuth token expired, the client credentials are incorrect, or the Authorization header is malformed.
  • Fix: Verify the client_id and client_secret match the Genesys Cloud integration. Ensure the token cache refreshes before the expires_in window closes. Check that the Bearer prefix contains exactly one space.
  • Code Fix: The TokenCache class automatically refreshes tokens when time.time() >= self._expires_at - 60. If you bypass the cache, regenerate the token before retrying.

Error: 403 Forbidden

  • Cause: The OAuth client lacks media:read or media:write scopes, or the recording is locked by Genesys Cloud retention policies.
  • Fix: Navigate to the Genesys Cloud Admin console, locate the integration, and verify that media:read and media:write are assigned. If the recording is locked, you must request a compliance override or export the recording before the retention lock engages.
  • Code Fix: Catch 403 explicitly and log the missing scope. The API response body typically contains a message field indicating the exact permission gap.

Error: 429 Too Many Requests

  • Cause: You exceeded the tenant-level or endpoint-level rate limit. Genesys Cloud enforces strict caps on media uploads to protect storage infrastructure.
  • Fix: Implement exponential backoff. The retry_on_429 decorator handles this automatically. If the error persists, reduce concurrent upload threads or stagger requests using a token bucket algorithm.
  • Code Fix: The Retry-After header in the 429 response dictates the exact wait time. Modify the retry decorator to parse response.headers.get("Retry-After") instead of using a fixed exponential curve for maximum efficiency.

Error: FFmpeg Filter Syntax Failure

  • Cause: Overlapping time windows, negative durations, or malformed between() expressions cause FFmpeg to abort with a filter graph error.
  • Fix: Validate that start < end for every tuple. Sort the windows and merge overlapping ranges before constructing the filter string.
  • Code Fix: Add a preprocessing step:
def normalize_windows(windows: List[Tuple[float, float]]) -> List[Tuple[float, float]]:
    sorted_w = sorted(windows, key=lambda x: x[0])
    merged = [sorted_w[0]]
    for start, end in sorted_w[1:]:
        if start <= merged[-1][1]:
            merged[-1] = (merged[-1][0], max(merged[-1][1], end))
        else:
            merged.append((start, end))
    return merged

Official References