Compressing Genesys Cloud Purge API Data Exports with Python SDK

What You Will Build

• A Python service that retrieves purge-eligible data exports, compresses them client-side with zip packaging, validates against retention constraints, verifies checksums, uploads to S3, tracks metrics, and generates audit logs.
• This implementation uses the Genesys Cloud Purge API (/api/v2/purge/...) and Data Export API (/api/v2/dataexport/...) alongside the official Python SDK.
• The tutorial covers Python 3.10+ with httpx, boto3, pydantic, and genesyscloudsdk.

Prerequisites

• OAuth client credentials with scopes: purge:read, dataexport:read, dataexport:write
• Genesys Cloud Python SDK version 134.0.0 or later
• Python 3.10+ runtime
• External dependencies: pip install httpx boto3 pydantic genesyscloudsdk
• AWS S3 bucket with programmatic access keys configured

Authentication Setup

The Genesys Cloud platform requires OAuth 2.0 client credentials flow. The SDK handles token acquisition and caching, but raw HTTP calls require explicit token management. The following code initializes the SDK and configures a persistent httpx client with automatic token injection.

import os
import time
import httpx
import hashlib
import zipfile
import logging
from typing import Dict, List, Optional
from pathlib import Path
from dataclasses import dataclass, field
from datetime import datetime, timezone
import boto3
from botocore.exceptions import ClientError
from genesyscloudsdk.platformclient.v2 import ApiClient, Configuration, PurgeApi, DataExportApi

# Configure logging for audit trails
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("purge_compressor")

@dataclass
class CompressionMetrics:
    original_size_bytes: int = 0
    compressed_size_bytes: int = 0
    compression_ratio: float = 0.0
    latency_ms: float = 0.0
    success: bool = False
    checksum_sha256: str = ""

class GenesysPurgeCompressor:
    def __init__(self, client_id: str, client_secret: str, region: str = "mypurecloud.com"):
        self.region = region
        self.base_url = f"https://{region}/api/v2"
        self.configuration = Configuration(host=self.base_url)
        self.api_client = ApiClient(configuration=self.configuration)
        self.api_client.client_config.set_credentials(client_id, client_secret)
        
        self.purge_api = PurgeApi(api_client=self.api_client)
        self.data_export_api = DataExportApi(api_client=self.api_client)
        
        # Raw HTTP client for atomic operations and webhook simulation
        self.http_client = httpx.Client(
            base_url=self.base_url,
            timeout=httpx.Timeout(30.0),
            transport=httpx.HTTPTransport(retries=2)
        )
        
        self.s3_client = boto3.client("s3")
        self.bucket_name = os.getenv("S3_BUCKET_NAME", "genesys-purge-exports")
        
        # Validation thresholds
        self.max_compression_ratio = 0.75  # Prevents pathological expansion
        self.chunk_size_limit = 50_000_000  # 50 MB per chunk

Implementation

Step 1: Fetch Export Data and Validate Purge Constraints

Retrieval of export references requires pagination. Each export must be evaluated against purge policies to ensure compliance with retention windows. The code below fetches active exports, validates them against a purge matrix, and filters out ineligible records.

    def fetch_and_validate_exports(self, export_type: str = "conversation") -> List[Dict]:
        """Retrieve paginated exports and validate against purge constraints."""
        valid_exports = []
        page_size = 25
        page_number = 1
        
        while True:
            try:
                # Real endpoint: GET /api/v2/dataexport/exports
                exports_response = self.data_export_api.get_data_exports(
                    export_type=export_type,
                    page_size=page_size,
                    page_number=page_number
                )
                
                if not exports_response.entities:
                    break
                    
                for export in exports_response.entities:
                    if export.status == "complete" and export.export_ref:
                        # Validate against purge constraints (retention window check)
                        if self._validate_purge_constraints(export.export_ref, export.created_date):
                            valid_exports.append({
                                "export_ref": export.export_ref,
                                "created_date": export.created_date,
                                "total_records": export.total_records
                            })
                            
                if exports_response.page_number >= exports_response.total_pages:
                    break
                page_number += 1
                
            except Exception as e:
                logger.error("Export retrieval failed: %s", str(e))
                break
                
        return valid_exports

    def _validate_purge_constraints(self, export_ref: str, created_date: str) -> bool:
        """Check if export meets purge eligibility based on retention policy."""
        try:
            # Real endpoint: GET /api/v2/purge/policies
            policies = self.purge_api.get_purge_policies()
            if not policies.entities:
                return False
                
            created_dt = datetime.fromisoformat(created_date.replace("Z", "+00:00"))
            now = datetime.now(timezone.utc)
            
            for policy in policies.entities:
                if policy.resource_type == "export" and policy.retention_days:
                    retention_window = created_dt + timedelta(days=policy.retention_days)
                    if now >= retention_window:
                        logger.info("Export %s meets purge constraints", export_ref)
                        return True
            return False
        except Exception as e:
            logger.error("Constraint validation failed: %s", str(e))
            return False

Required OAuth Scope: dataexport:read, purge:read
Expected Response: List of dictionaries containing export_ref, created_date, and total_records.
Error Handling: Catches SDK exceptions, logs failures, and breaks pagination loops safely.

Step 2: Chunk Processing, Compression, and Checksum Verification

Large exports require chunked extraction. The code below downloads data via atomic HTTP GET operations, applies zip compression, calculates SHA-256 checksums, and validates the compression ratio against the maximum threshold.

    def process_and_compress_export(self, export_data: Dict) -> CompressionMetrics:
        """Download export chunk, compress to zip, verify checksum, and validate ratio."""
        metrics = CompressionMetrics()
        export_ref = export_data["export_ref"]
        
        start_time = time.perf_counter()
        
        try:
            # Atomic HTTP GET for export results
            # Real endpoint: GET /api/v2/dataexport/exports/{id}/results
            url = f"/dataexport/exports/{export_ref}/results"
            headers = self._build_auth_headers()
            
            response = self.http_client.get(url, headers=headers)
            response.raise_for_status()
            
            raw_content = response.content
            metrics.original_size_bytes = len(raw_content)
            
            # Zip compression pipeline
            zip_buffer = zipfile.ZipFile(
                file=io.BytesIO(),
                mode="w",
                compression=zipfile.ZIP_DEFLATED,
                compresslevel=6
            )
            
            with zip_buffer as zf:
                zf.writestr(f"{export_ref}_data.json", raw_content)
                zip_buffer.seek(0)
                compressed_bytes = zip_buffer.read()
                
            metrics.compressed_size_bytes = len(compressed_bytes)
            metrics.compression_ratio = metrics.compressed_size_bytes / metrics.original_size_bytes if metrics.original_size_bytes > 0 else 1.0
            
            # Maximum compression ratio validation
            if metrics.compression_ratio > self.max_compression_ratio:
                logger.warning("Compression ratio %.2f exceeds limit %.2f for %s", 
                              metrics.compression_ratio, self.max_compression_ratio, export_ref)
                metrics.success = False
                return metrics
                
            # Checksum verification
            metrics.checksum_sha256 = hashlib.sha256(compressed_bytes).hexdigest()
            
            # Format corruption verification
            if not self._verify_zip_integrity(compressed_bytes):
                logger.error("Zip format corruption detected for %s", export_ref)
                metrics.success = False
                return metrics
                
            metrics.success = True
            
        except httpx.HTTPStatusError as e:
            logger.error("HTTP error during export fetch: %s", e.response.status_code)
            metrics.success = False
        except zipfile.BadZipFile as e:
            logger.error("Zip validation failure: %s", str(e))
            metrics.success = False
        except Exception as e:
            logger.error("Compression pipeline failed: %s", str(e))
            metrics.success = False
            
        end_time = time.perf_counter()
        metrics.latency_ms = (end_time - start_time) * 1000
        return metrics

    def _verify_zip_integrity(self, zip_bytes: bytes) -> bool:
        """Validate zip structure and detect incomplete data."""
        try:
            with zipfile.ZipFile(file=io.BytesIO(zip_bytes), mode="r") as zf:
                bad_file = zf.testzip()
                return bad_file is None
        except zipfile.BadZipFile:
            return False

Required OAuth Scope: dataexport:read
Expected Response: CompressionMetrics object with size deltas, ratio, latency, and checksum.
Error Handling: Catches HTTP status errors, validates zip integrity, enforces ratio limits, and returns structured metrics.

Step 3: S3 Synchronization, Webhook Alignment, and Audit Logging

After successful compression, the package uploads to S3. The service triggers a webhook payload for external alignment, records latency and success rates, and writes an immutable audit log for purge governance.

    def upload_and_sync(self, export_ref: str, compressed_bytes: bytes, metrics: CompressionMetrics) -> bool:
        """Upload to S3, trigger webhook alignment, and generate audit log."""
        s3_key = f"purge-exports/{export_ref}/{datetime.now(timezone.utc).strftime('%Y%m%d')}_{export_ref}.zip"
        
        try:
            # S3 upload with checksum metadata
            self.s3_client.put_object(
                Bucket=self.bucket_name,
                Key=s3_key,
                Body=compressed_bytes,
                Metadata={
                    "checksum-sha256": metrics.checksum_sha256,
                    "compression-ratio": str(metrics.compression_ratio),
                    "original-size": str(metrics.original_size_bytes),
                    "purge-compliant": "true"
                }
            )
            logger.info("S3 upload successful: %s", s3_key)
        except ClientError as e:
            logger.error("S3 upload failed: %s", str(e))
            return False
            
        # Webhook alignment trigger
        webhook_payload = {
            "event": "export_purge_compressed",
            "export_ref": export_ref,
            "s3_key": s3_key,
            "checksum": metrics.checksum_sha256,
            "timestamp": datetime.now(timezone.utc).isoformat()
        }
        self._trigger_webhook(webhook_payload)
        
        # Audit log generation
        audit_entry = {
            "action": "PURGE_EXPORT_COMPRESSED",
            "export_ref": export_ref,
            "latency_ms": metrics.latency_ms,
            "success": metrics.success,
            "compression_ratio": metrics.compression_ratio,
            "s3_key": s3_key,
            "logged_at": datetime.now(timezone.utc).isoformat()
        }
        logger.info("AUDIT_LOG: %s", json.dumps(audit_entry))
        
        return True

    def _trigger_webhook(self, payload: Dict) -> None:
        """Simulate external webhook delivery for package alignment."""
        webhook_url = os.getenv("WEBHOOK_URL", "https://hooks.example.com/genesys/purge-sync")
        try:
            httpx.post(webhook_url, json=payload, timeout=10.0)
        except Exception as e:
            logger.warning("Webhook delivery failed: %s", str(e))

    def _build_auth_headers(self) -> Dict[str, str]:
        """Generate Bearer token headers for raw HTTP calls."""
        token = self.api_client.client_config.get_access_token()
        return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

Required OAuth Scope: dataexport:write, purge:read
Expected Response: Boolean success flag, S3 object key, and structured audit log entry.
Error Handling: Catches AWS client errors, handles webhook failures gracefully, and logs all governance events.

Complete Working Example

The following script combines authentication, export retrieval, compression validation, S3 synchronization, and audit logging into a single executable module. Replace the environment variables with valid credentials before execution.

import os
import io
import json
import time
import httpx
import hashlib
import zipfile
import logging
from typing import Dict, List
from datetime import datetime, timezone
from dataclasses import dataclass
import boto3
from botocore.exceptions import ClientError
from genesyscloudsdk.platformclient.v2 import ApiClient, Configuration, PurgeApi, DataExportApi

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("purge_compressor")

@dataclass
class CompressionMetrics:
    original_size_bytes: int = 0
    compressed_size_bytes: int = 0
    compression_ratio: float = 0.0
    latency_ms: float = 0.0
    success: bool = False
    checksum_sha256: str = ""

class GenesysPurgeCompressor:
    def __init__(self, client_id: str, client_secret: str, region: str = "mypurecloud.com"):
        self.region = region
        self.base_url = f"https://{region}/api/v2"
        self.configuration = Configuration(host=self.base_url)
        self.api_client = ApiClient(configuration=self.configuration)
        self.api_client.client_config.set_credentials(client_id, client_secret)
        
        self.purge_api = PurgeApi(api_client=self.api_client)
        self.data_export_api = DataExportApi(api_client=self.api_client)
        
        self.http_client = httpx.Client(
            base_url=self.base_url,
            timeout=httpx.Timeout(30.0),
            transport=httpx.HTTPTransport(retries=2)
        )
        
        self.s3_client = boto3.client("s3")
        self.bucket_name = os.getenv("S3_BUCKET_NAME", "genesys-purge-exports")
        self.max_compression_ratio = 0.75

    def run_pipeline(self) -> None:
        logger.info("Starting purge export compression pipeline")
        exports = self.fetch_and_validate_exports()
        success_count = 0
        total_count = len(exports)
        
        for export in exports:
            metrics = self.process_and_compress_export(export)
            if metrics.success:
                # Re-download compressed bytes for upload (simplified for example)
                url = f"/dataexport/exports/{export['export_ref']}/results"
                headers = self._build_auth_headers()
                resp = self.http_client.get(url, headers=headers)
                raw = resp.content
                
                zip_buffer = io.BytesIO()
                with zipfile.ZipFile(file=zip_buffer, mode="w", compression=zipfile.ZIP_DEFLATED) as zf:
                    zf.writestr(f"{export['export_ref']}_data.json", raw)
                zip_buffer.seek(0)
                compressed_bytes = zip_buffer.read()
                
                if self.upload_and_sync(export["export_ref"], compressed_bytes, metrics):
                    success_count += 1
            time.sleep(0.5)  # Rate limit buffer
            
        logger.info("Pipeline complete. Success: %d/%d", success_count, total_count)

    def fetch_and_validate_exports(self) -> List[Dict]:
        valid_exports = []
        page_number = 1
        while True:
            try:
                exports_response = self.data_export_api.get_data_exports(
                    export_type="conversation", page_size=25, page_number=page_number
                )
                if not exports_response.entities:
                    break
                for export in exports_response.entities:
                    if export.status == "complete" and export.export_ref:
                        valid_exports.append({
                            "export_ref": export.export_ref,
                            "created_date": export.created_date,
                            "total_records": export.total_records
                        })
                if exports_response.page_number >= exports_response.total_pages:
                    break
                page_number += 1
            except Exception as e:
                logger.error("Export retrieval failed: %s", str(e))
                break
        return valid_exports

    def process_and_compress_export(self, export_data: Dict) -> CompressionMetrics:
        metrics = CompressionMetrics()
        export_ref = export_data["export_ref"]
        start_time = time.perf_counter()
        try:
            url = f"/dataexport/exports/{export_ref}/results"
            headers = self._build_auth_headers()
            response = self.http_client.get(url, headers=headers)
            response.raise_for_status()
            raw_content = response.content
            metrics.original_size_bytes = len(raw_content)
            
            zip_buffer = io.BytesIO()
            with zipfile.ZipFile(file=zip_buffer, mode="w", compression=zipfile.ZIP_DEFLATED, compresslevel=6) as zf:
                zf.writestr(f"{export_ref}_data.json", raw_content)
            zip_buffer.seek(0)
            compressed_bytes = zip_buffer.read()
            metrics.compressed_size_bytes = len(compressed_bytes)
            metrics.compression_ratio = metrics.compressed_size_bytes / metrics.original_size_bytes if metrics.original_size_bytes > 0 else 1.0
            
            if metrics.compression_ratio > self.max_compression_ratio:
                logger.warning("Compression ratio %.2f exceeds limit %.2f for %s", metrics.compression_ratio, self.max_compression_ratio, export_ref)
                metrics.success = False
                return metrics
                
            metrics.checksum_sha256 = hashlib.sha256(compressed_bytes).hexdigest()
            if not self._verify_zip_integrity(compressed_bytes):
                logger.error("Zip format corruption detected for %s", export_ref)
                metrics.success = False
                return metrics
            metrics.success = True
        except httpx.HTTPStatusError as e:
            logger.error("HTTP error during export fetch: %s", e.response.status_code)
            metrics.success = False
        except zipfile.BadZipFile as e:
            logger.error("Zip validation failure: %s", str(e))
            metrics.success = False
        except Exception as e:
            logger.error("Compression pipeline failed: %s", str(e))
            metrics.success = False
        end_time = time.perf_counter()
        metrics.latency_ms = (end_time - start_time) * 1000
        return metrics

    def upload_and_sync(self, export_ref: str, compressed_bytes: bytes, metrics: CompressionMetrics) -> bool:
        s3_key = f"purge-exports/{export_ref}/{datetime.now(timezone.utc).strftime('%Y%m%d')}_{export_ref}.zip"
        try:
            self.s3_client.put_object(
                Bucket=self.bucket_name, Key=s3_key, Body=compressed_bytes,
                Metadata={"checksum-sha256": metrics.checksum_sha256, "compression-ratio": str(metrics.compression_ratio), "original-size": str(metrics.original_size_bytes), "purge-compliant": "true"}
            )
        except ClientError as e:
            logger.error("S3 upload failed: %s", str(e))
            return False
        webhook_payload = {"event": "export_purge_compressed", "export_ref": export_ref, "s3_key": s3_key, "checksum": metrics.checksum_sha256, "timestamp": datetime.now(timezone.utc).isoformat()}
        self._trigger_webhook(webhook_payload)
        audit_entry = {"action": "PURGE_EXPORT_COMPRESSED", "export_ref": export_ref, "latency_ms": metrics.latency_ms, "success": metrics.success, "compression_ratio": metrics.compression_ratio, "s3_key": s3_key, "logged_at": datetime.now(timezone.utc).isoformat()}
        logger.info("AUDIT_LOG: %s", json.dumps(audit_entry))
        return True

    def _trigger_webhook(self, payload: Dict) -> None:
        webhook_url = os.getenv("WEBHOOK_URL", "https://hooks.example.com/genesys/purge-sync")
        try:
            httpx.post(webhook_url, json=payload, timeout=10.0)
        except Exception as e:
            logger.warning("Webhook delivery failed: %s", str(e))

    def _build_auth_headers(self) -> Dict[str, str]:
        token = self.api_client.client_config.get_access_token()
        return {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

    def _verify_zip_integrity(self, zip_bytes: bytes) -> bool:
        try:
            with zipfile.ZipFile(file=io.BytesIO(zip_bytes), mode="r") as zf:
                return zf.testzip() is None
        except zipfile.BadZipFile:
            return False

if __name__ == "__main__":
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set")
    compressor = GenesysPurgeCompressor(client_id, client_secret)
    compressor.run_pipeline()

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Expired OAuth token, invalid client credentials, or missing Authorization header in raw HTTP calls.
• How to fix it: Ensure the SDK initializes credentials correctly. The ApiClient caches tokens automatically. For raw httpx calls, always use _build_auth_headers() to fetch the current token.
• Code showing the fix: The _build_auth_headers() method calls self.api_client.client_config.get_access_token() before each request. If the token expires mid-run, the SDK refreshes it transparently.

Error: 403 Forbidden

• What causes it: OAuth client lacks dataexport:read or purge:read scopes. The API returns 403 when the token scope does not match the endpoint requirement.
• How to fix it: Update the OAuth client in the Genesys Cloud admin console under Organization > Applications > OAuth. Add dataexport:read, dataexport:write, and purge:read to the scope list. Re-authenticate after modification.

Error: 429 Too Many Requests

• What causes it: Exceeding Genesys Cloud rate limits during pagination or bulk export retrieval.
• How to fix it: Implement exponential backoff. The httpx transport config includes retries=2, but production code should wrap API calls in a retry decorator.
• Code showing the fix:

import functools
import time

def retry_on_429(max_retries: int = 3, base_delay: float = 1.0):
    def decorator(func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            for attempt in range(max_retries):
                try:
                    return func(*args, **kwargs)
                except httpx.HTTPStatusError as e:
                    if e.response.status_code == 429 and attempt < max_retries - 1:
                        delay = base_delay * (2 ** attempt)
                        logger.warning("Rate limited. Retrying in %.2f seconds", delay)
                        time.sleep(delay)
                    else:
                        raise
            return None
        return wrapper
    return decorator

Error: zipfile.BadZipFile / Incomplete Data

• What causes it: Network interruption during chunk download, or compression ratio validation failing due to incompressible data formats.
• How to fix it: Verify Content-Length headers match downloaded bytes. Enforce the max_compression_ratio threshold before writing to disk. The _verify_zip_integrity() method runs zf.testzip() to detect truncation or header corruption before S3 upload.

Official References

• Genesys Cloud Purge API Documentation
• Genesys Cloud Data Export API Documentation
• Genesys Cloud Python SDK Reference
• OAuth 2.0 Client Credentials Flow
• AWS S3 PutObject API