129e4ea1fc
New router intelligence modules (26 files): alert_ingest/store, audit_store, architecture_pressure, backlog_generator/store, cost_analyzer, data_governance, dependency_scanner, drift_analyzer, incident_* (5 files), llm_enrichment, platform_priority_digest, provider_budget, release_check_runner, risk_* (6 files), signature_state_store, sofiia_auto_router, tool_governance New services: - sofiia-console: Dockerfile, adapters/, monitor/nodes/ops/voice modules, launchd, react static - memory-service: integration_endpoints, integrations, voice_endpoints, static UI - aurora-service: full app suite (analysis, job_store, orchestrator, reporting, schemas, subagents) - sofiia-supervisor: new supervisor service - aistalk-bridge-lite: Telegram bridge lite - calendar-service: CalDAV calendar service with reminders - mlx-stt-service / mlx-tts-service: Apple Silicon speech services - binance-bot-monitor: market monitor service - node-worker: STT/TTS memory providers New tools (9): agent_email, browser_tool, contract_tool, observability_tool, oncall_tool, pr_reviewer_tool, repo_tool, safe_code_executor, secure_vault New crews: agromatrix_crew (10 modules: depth_classifier, doc_facts, doc_focus, farm_state, light_reply, llm_factory, memory_manager, proactivity, reflection_engine, session_context, style_adapter, telemetry) Tests: 85+ test files for all new modules Made-with: Cursor
93 lines
2.9 KiB
Python
93 lines
2.9 KiB
Python
from __future__ import annotations
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from pathlib import Path
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from typing import Iterable
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from fpdf import FPDF # type: ignore[import-untyped]
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from .schemas import AuroraJob
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def _line(pdf: FPDF, text: str) -> None:
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full_width = pdf.w - pdf.l_margin - pdf.r_margin
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pdf.set_x(pdf.l_margin)
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pdf.set_font("Helvetica", size=10)
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pdf.multi_cell(full_width, 5, txt=_soft_wrap_tokens(text))
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def _section(pdf: FPDF, title: str) -> None:
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pdf.ln(2)
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pdf.set_x(pdf.l_margin)
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pdf.set_font("Helvetica", style="B", size=12)
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full_width = pdf.w - pdf.l_margin - pdf.r_margin
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pdf.cell(full_width, 7, txt=title, ln=1)
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def _soft_wrap_tokens(text: str, chunk: int = 40) -> str:
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parts = []
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for token in str(text).split(" "):
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if len(token) <= chunk:
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parts.append(token)
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continue
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segments = [token[i : i + chunk] for i in range(0, len(token), chunk)]
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parts.append(" ".join(segments))
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return " ".join(parts)
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def _iter_output_rows(job: AuroraJob) -> Iterable[str]:
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if not job.result:
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return []
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for item in job.result.output_files:
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yield f"[{item.type}] {item.name} | {item.hash}"
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def generate_forensic_report_pdf(job: AuroraJob, output_path: Path) -> Path:
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if not job.result:
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raise RuntimeError("Job has no result data")
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output_path.parent.mkdir(parents=True, exist_ok=True)
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pdf = FPDF(unit="mm", format="A4")
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pdf.set_auto_page_break(auto=True, margin=14)
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pdf.add_page()
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pdf.set_font("Helvetica", style="B", size=16)
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pdf.cell(0, 10, txt="Aurora Forensic Report", ln=1)
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pdf.set_font("Helvetica", size=9)
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pdf.cell(0, 5, txt="Autonomous Media Forensics Agent", ln=1)
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pdf.ln(3)
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_section(pdf, "Case Summary")
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_line(pdf, f"Job ID: {job.job_id}")
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_line(pdf, f"Mode: {job.mode}")
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_line(pdf, f"Media Type: {job.media_type}")
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_line(pdf, f"Status: {job.status}")
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_line(pdf, f"Created At: {job.created_at}")
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_line(pdf, f"Started At: {job.started_at or '-'}")
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_line(pdf, f"Completed At: {job.completed_at or '-'}")
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_line(pdf, f"Input File: {job.file_name}")
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_line(pdf, f"Input Hash: {job.input_hash}")
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_line(pdf, f"Digital Signature: {job.result.digital_signature or '-'}")
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_section(pdf, "Processing Log")
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if not job.result.processing_log:
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_line(pdf, "No processing steps were recorded.")
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for idx, step in enumerate(job.result.processing_log, start=1):
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_line(
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pdf,
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f"{idx}. {step.step} | agent={step.agent} | model={step.model} | time_ms={step.time_ms}",
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)
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_section(pdf, "Output Artifacts")
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rows = list(_iter_output_rows(job))
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if not rows:
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_line(pdf, "No output artifacts available.")
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for row in rows:
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_line(pdf, row)
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_section(pdf, "Metadata")
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for k, v in (job.result.metadata or {}).items():
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_line(pdf, f"{k}: {v}")
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pdf.output(str(output_path))
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return output_path
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