feat: Transform to Compliance Document Intelligence Agent - #5
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NEW FILES: - src/mcp_servers/telegram_mcp.py - Telegram MCP server (2 tools) - invoicify-worker/src/routes/telegram.ts - Webhook route CHANGES: - invoicify-worker/src/index.ts - Mount Telegram webhook - .env.azure.example - Add TELEGRAM_BOT_TOKEN FEATURES: ✅ Vendors send PDF via Telegram → Azure Blob → AP Pipeline ✅ Auto-reply with status (processing → complete) ✅ Error handling (sends error messages to vendors) ✅ Commands: /start, /help ✅ Webhook endpoint: POST /webhook/telegram ✅ Health check: GET /webhook/telegram/health ✅ Set webhook: GET /webhook/telegram/set-webhook COST: $0 forever (Telegram Bot API is free unlimited) SETUP TIME: 5 minutes (@Botfather → /newbot) DEMO VALUE: - Vendor texts @InvoicifyBot with PDF - Live QuickBooks sync - Perfect for interviews (instant wow factor) Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
NEW FILES: - tests/e2e/test_fullstack_e2e.py (1,298 lines, 16 tests) - tests/e2e/README.md (E2E test documentation) UPDATED: - tests/conftest.py (added shared fixtures) - pyproject.toml (pytest configuration) TEST CLASSES (16 tests total): ✅ TestAuthentication (3 tests) - User registration - Organization creation - API key auth ✅ TestDatabaseCRUD (3 tests) - Vendor CRUD - Invoice CRUD - Content hash deduplication ✅ TestAPIRoutes (3 tests) - Invoice upload endpoint - Invoice status endpoint - Vendor search endpoint ✅ TestMCPIntegrations (3 tests) - QuickBooks MCP flow - HubSpot MCP flow - Telegram webhook flow ✅ TestCompleteWorkflow (1 test) - End-to-end vendor-to-payment flow ✅ TestEdgeCases (3 tests) - Invalid invoice format - Missing auth header - Rate limiting FEATURES: ✅ Graceful skipping (tests skip if services not running) ✅ Service availability checks ✅ Comprehensive fixtures ✅ Full async/await support ✅ Type hints throughout ✅ Clear error messages with trace_id ✅ Cleanup after tests USAGE: uv run pytest tests/e2e/test_fullstack_e2e.py -v uv run pytest tests/e2e/test_fullstack_e2e.py::TestAuthentication -v uv run pytest tests/e2e/test_fullstack_e2e.py -m integration Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
- Add tenant_id to Azure Blob storage paths for multi-tenancy - Add citation_node to LangGraph (extract → fraud → citation → execute) - Update audit ledger with source_citations for compliance trail - Add enable_hybrid_search config for BM25 + vector search - Document Trust Battery decay policy in ADR-007 - Update README with Compliance Intelligence framing BREAKING CHANGE: Blob storage functions now require tenant_id parameter
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Code Review
This pull request introduces a Telegram Bot integration for automated invoice intake, leveraging Azure Blob Storage for document management and a new citation node in the LangGraph workflow for audit compliance. While the architecture is sound, several critical implementation issues were identified: a missing required argument in the blob upload call, an incorrect module import for the workflow app, and a logic error where the citation node is executed before the decision it is meant to cite. Additionally, the SAS token generation logic is currently incompatible with Managed Identity and uses incorrect pathing, and the worker implementation incorrectly uses Deno-specific environment access in a Cloudflare Workers context.
| blob_url = await upload_pdf_bytes( | ||
| file_bytes, | ||
| blob_name, | ||
| metadata={ | ||
| "source": "telegram", | ||
| "chat_id": chat_id, | ||
| "sender": sender_username, | ||
| } | ||
| ) |
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| log.info("azure_blob_uploaded", blob_url=blob_url) | ||
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| # 3. Run AP workflow pipeline (lazy import) | ||
| from src.graph.ap_workflow import ap_workflow |
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The import from src.graph.ap_workflow import ap_workflow will fail because the ap_workflow.py module does not export a variable named ap_workflow. It exports ap_workflow_app.
| from src.graph.ap_workflow import ap_workflow | |
| from src.graph.ap_workflow import ap_workflow_app as ap_workflow |
| workflow.add_edge("gl_coding", "citation") | ||
| workflow.add_edge("citation", "decision") |
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The citation node is placed before the decision node in the workflow. However, the citation_node implementation (line 391) attempts to read state.final_decision to generate the conclusion. Since final_decision is only set in the decision node (line 650), the citation will always show 'Invoice None'. The citation node should be moved after the decision node.
| workflow.add_edge("gl_coding", "citation") | |
| workflow.add_edge("citation", "decision") | |
| workflow.add_edge("gl_coding", "decision") | |
| workflow.add_edge("decision", "citation") |
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| expiry = datetime.now(timezone.utc) + timedelta(minutes=expiry_minutes) | ||
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| sas_token = generate_blob_sas( |
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Accessing container_client.credential.account_key is fragile and will fail if the client is initialized using Managed Identity (e.g., DefaultAzureCredential), as token credentials do not expose an account key. Since the README mentions using Managed Identity for Container Apps, this function should use User Delegation SAS if a key is not available.
| sas_token = generate_blob_sas( | ||
| account_name=container_client.account_name, | ||
| container_name=container_client.container_name, | ||
| blob_name=blob_name, |
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| export const telegram = new Hono() | ||
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| // Telegram bot configuration | ||
| const BOT_TOKEN = Deno.env.get('TELEGRAM_BOT_TOKEN') |
Summary
Transforms Invoicify from an AP automation tool to a Compliance Document Intelligence Agent that processes invoices, contracts, SEBI circulars, GST notices with full audit trails.
Changes
Multi-Tenancy (Blob Storage)
tenant_idparameter to all blob storage functions{tenant_id}/documents/...LangGraph Citation Node
citation_nodebetweengl_codinganddecisionnodesAudit Ledger Enhancements
source_citationsparameter toappend_event()and receiptsHybrid Search
enable_hybrid_searchconfig flagTrust Battery Decay Policy (ADR-007)
README
Test Results