new-site/scripts/workers/services/ccpa_audit.py
justin f8cd37ac8c Initial commit — Performance West telecom compliance platform
Includes: API (Express/TypeScript), Astro site, Python workers,
document generators, FCC compliance tools, Canada CRTC formation,
Ansible infrastructure, and deployment scripts.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-27 06:54:22 -05:00

132 lines
5.2 KiB
Python

"""CCPA/CPRA Compliance Audit handler (LLM-based).
Generates a California Consumer Privacy Act / California Privacy Rights Act
compliance audit report. Also used for the "data-mapping" service which
shares similar analysis.
"""
from __future__ import annotations
import os
from .base_handler import BaseServiceHandler
SERVICE_SYSTEM_PROMPT = """You are a compliance analyst at Performance West Inc.
generating a CCPA/CPRA Privacy Compliance Audit report.
RULES:
- Write in professional, clear business English
- Cite specific CCPA/CPRA sections (Cal. Civ. Code §§ 1798.100-1798.199.100)
- Reference CPRA amendments effective January 1, 2023
- Never provide legal advice — use "we recommend" not "you must"
- For each finding: what was found, regulation, risk level (Low/Medium/High/Critical), remediation
- Consider CCPA applicability thresholds ($25M revenue, 100k consumers, 50% revenue from data)
- Address all consumer rights: know, delete, opt-out, correct, limit use of sensitive PI
- Reference CPPA enforcement guidance where applicable
"""
SECTIONS = [
{
"name": "executive_summary",
"prompt": (
"Write a 200-word executive summary of the CCPA/CPRA audit findings. "
"Include applicability determination, scope, overall compliance posture, "
"and critical findings."
),
},
{
"name": "data_inventory",
"prompt": (
"Analyze the organization's personal information inventory. Categories "
"of PI collected, sources, purposes, third-party sharing, sensitive PI "
"processing, retention periods, and cross-border transfers. Identify "
"gaps in data mapping documentation."
),
},
{
"name": "consumer_rights",
"prompt": (
"Assess compliance with each CCPA/CPRA consumer right: right to know, "
"right to delete, right to opt-out of sale/sharing, right to correct, "
"right to limit use of sensitive PI, right to non-discrimination. "
"For each: process exists (Y/N), response timeline, verification method, gaps."
),
},
{
"name": "privacy_notices",
"prompt": (
"Review privacy notices and disclosures: at-or-before-collection notice, "
"privacy policy, financial incentive notices, opt-out preference signals "
"compliance (GPC), 'Do Not Sell or Share' link. Assess content completeness "
"and accessibility."
),
},
{
"name": "vendor_management",
"prompt": (
"Review service provider and contractor agreements for CCPA/CPRA "
"compliance. Assess: data processing agreements, flow-down obligations, "
"audit rights, breach notification, and distinction between service "
"providers, contractors, and third parties under CPRA."
),
},
{
"name": "security_measures",
"prompt": (
"Evaluate reasonable security measures under CCPA § 1798.150 (private "
"right of action for data breaches). Review technical and organizational "
"safeguards, breach detection capabilities, and incident response readiness."
),
},
{
"name": "remediation_plan",
"prompt": (
"Provide a prioritized remediation plan. For each finding: reference, "
"risk level, recommended action, responsible party, timeline. Consider "
"CPPA enforcement priorities and the cure period provisions."
),
},
]
class CCPAAuditHandler(BaseServiceHandler):
SERVICE_SLUG = "ccpa-audit"
SERVICE_NAME = "CCPA/CPRA Compliance Audit"
TEMPLATE_NAME = "ccpa_audit_template.docx"
REQUIRES_LLM = True
async def process(self, order_data: dict) -> list[str]:
work_dir = self._make_work_dir()
order_number = order_data["name"]
context = self._extract_order_context(order_data)
# data-mapping uses same handler with a different template
items = order_data.get("items", [])
item_code = items[0].get("item_code", "") if items else ""
if item_code == "data-mapping":
template_name = "data_mapping_template.docx"
else:
template_name = self.TEMPLATE_NAME
template_path = self._get_template_path(template_name)
docx_filename = self._output_filename(order_number, "docx")
docx_path = os.path.join(work_dir, docx_filename)
variables = {
"order_number": order_number,
"customer_name": order_data.get("customer_name", ""),
"date": __import__("datetime").datetime.now().strftime("%B %d, %Y"),
"service_name": self.SERVICE_NAME,
"company_size": order_data.get("custom_company_size", "N/A"),
"industry": order_data.get("custom_industry", "N/A"),
"state": order_data.get("custom_state", "N/A"),
}
self._fill_template(template_path, variables, docx_path)
sections = await self._generate_sections(
SERVICE_SYSTEM_PROMPT, SECTIONS, context
)
self._add_sections_to_doc(docx_path, sections)
pdf_path = self._convert_to_pdf(docx_path)
return [docx_path, pdf_path]