diff --git a/samples/peppol-participant-discovery/.env.example b/samples/peppol-participant-discovery/.env.example new file mode 100644 index 00000000..50464b26 --- /dev/null +++ b/samples/peppol-participant-discovery/.env.example @@ -0,0 +1,18 @@ +# UiPath Configuration +UIPATH_URL=https://cloud.uipath.com/your-org/your-tenant +UIPATH_ACCESS_TOKEN=your-token-here +# OR use OAuth +# UIPATH_CLIENT_ID= +# UIPATH_CLIENT_SECRET= +# UIPATH_SCOPE= + +# OpenAI Configuration (via OpenRouter or direct) +OPENAI_API_KEY=your-openai-api-key +OPENAI_BASE_URL=https://openrouter.ai/api/v1 +MODEL=anthropic/claude-3-haiku +TEMPERATURE=0.0 +TIMEOUT_SECONDS=30 + +# Company Data Hub API +API_ENDPOINT=https://companydata-hub.cprimadotnet.workers.dev/unstructured/signature +COMPANYDATAHUB_API_KEY=your-api-key-here diff --git a/samples/peppol-participant-discovery/README.md b/samples/peppol-participant-discovery/README.md new file mode 100644 index 00000000..2c4789f9 --- /dev/null +++ b/samples/peppol-participant-discovery/README.md @@ -0,0 +1,146 @@ +# PEPPOL Participant Discovery + +UiPath agent that extracts company information from email signatures and discovers PEPPOL participants using a two-stage lookup with LLM refinement. + +## Features + +- **Two-stage PEPPOL lookup**: Naive search → LLM refinement → Refined search +- **LangGraph pipeline**: 7-node workflow with conditional routing +- **Email signature parsing**: Extract company name, country, email, domain +- **Automatic queue integration**: Queue discovered participants for downstream processing + +## Input Schema + +```json +{ + "signature_text": "string (optional)", + "fetch_from_api": "boolean (default: false)", + "perform_peppol_lookup": "boolean (default: true)" +} +``` + +## Output Schema + +```json +{ + "signature_id": "string", + "source": "string", + "company_name": "string", + "country": "string", + "email": "string", + "domain": "string", + "peppol_found": "boolean", + "peppol_participant_id": "string | null", + "peppol_entities": "array | null", + "search_method": "naive | refined | null", + "refined_company_name": "string | null", + "validation_status": "valid | not_found | error", + "confidence_score": "number (0.0-1.0)", + "error": "string | null" +} +``` + +## Setup + +```bash +cd samples/peppol-participant-discovery +uv sync +cp .env.example .env +# Edit .env with your credentials +``` + +### Required Environment Variables + +- `UIPATH_URL` - Your UiPath Orchestrator URL +- `UIPATH_ACCESS_TOKEN` - Access token for authentication +- `OPENAI_API_KEY` - OpenAI API key (or compatible provider) +- `OPENAI_BASE_URL` - API base URL (e.g., OpenRouter) +- `MODEL` - Model to use (e.g., `anthropic/claude-3-haiku`) + +### Optional Variables + +- `API_ENDPOINT` - Company Data Hub API endpoint (for fetching test signatures) +- `COMPANYDATAHUB_API_KEY` - API key for Company Data Hub + +## Usage + +### Run with Manual Input + +```bash +uv run uipath run src/peppol_participant_discovery/agent.py '{"signature_text": "John Doe, CEO\nAcme Corp\n123 Main St, Berlin 10115 DE"}' +``` + +### Run with API Fetch + +```bash +uv run uipath run src/peppol_participant_discovery/agent.py '{"fetch_from_api": true}' +``` + +### Skip PEPPOL Lookup (Extract Only) + +```bash +uv run uipath run src/peppol_participant_discovery/agent.py '{"signature_text": "Test Corp, Berlin DE", "perform_peppol_lookup": false}' +``` + +## Architecture + +### LangGraph Pipeline + +7-node state machine: +1. **Extract Data** - Parse email signature +2. **Naive PEPPOL Search** - Direct lookup with extracted company name +3. **Refine Company Name** - LLM refinement if naive search fails +4. **Refined PEPPOL Search** - Retry with refined name +5. **Fetch Participant Details** - Get full PEPPOL entity data +6. **Finalize Results** - Prepare output +7. **Queue Integration** - Write successful matches to UiPath queue + +### Search Strategy + +- **Naive Search**: Direct company name lookup (confidence: 1.0) +- **Refined Search**: LLM removes legal suffixes, standardizes format (confidence: 0.7) + +### Queue Integration + +When a PEPPOL participant is found, the agent automatically creates a queue item in the `mailsig-to-peppol` queue with: +- Slugified reference (e.g., `bounce-gmbh-de`) +- Full signature payload +- Extracted company data +- PEPPOL participant ID and entities +- Search method used + +## Project Structure + +``` +peppol-participant-discovery/ +├── src/ +│ └── peppol_participant_discovery/ +│ ├── agent.py # Main entry point +│ └── lib/ +│ ├── config.py # Settings management +│ ├── models.py # Pydantic models +│ ├── api/ # API clients (Company Hub, PEPPOL) +│ ├── extractors/ # Data extraction logic +│ ├── llm/ # LLM integration & prompts +│ └── pipeline/ # LangGraph workflow +├── pyproject.toml +├── uipath.json +├── .env.example +└── README.md +``` + +## Development + +### Update Schema + +After modifying Input/Output models: + +```bash +uv run uipath init src/peppol_participant_discovery/agent.py --infer-bindings +``` + +## Related Resources + +- [PEPPOL Network](https://peppol.org/) +- [UiPath Documentation](https://docs.uipath.com/) +- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/) diff --git a/samples/peppol-participant-discovery/pyproject.toml b/samples/peppol-participant-discovery/pyproject.toml new file mode 100644 index 00000000..0a7da658 --- /dev/null +++ b/samples/peppol-participant-discovery/pyproject.toml @@ -0,0 +1,30 @@ +[project] +name = "peppol-participant-discovery" +version = "0.1.0" +description = "UiPath agent for extracting PEPPOL master data from email signatures" +requires-python = ">=3.11" +authors = [{ name = "Christian Prior-Mamulyan" }] + +dependencies = [ + "uipath>=2.1.0", + "pydantic>=2.0.0", + "langchain>=0.3.0", + "langchain-openai>=0.2.0", + "langgraph>=0.2.0", + "httpx>=0.24.0", + "pydantic-settings>=2.0.0", + "python-dotenv>=1.0.0", +] + +[dependency-groups] +dev = [ + "pytest>=8.0.0", + "pytest-asyncio>=0.23.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/peppol_participant_discovery"] diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/__init__.py new file mode 100644 index 00000000..fd604b7e --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/__init__.py @@ -0,0 +1,3 @@ +"""Mail Signature to PEPPOL conversion package.""" + +__version__ = "0.1.0" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/agent.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/agent.py new file mode 100644 index 00000000..b005a7d4 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/agent.py @@ -0,0 +1,339 @@ +""" +Mail Signature to PEPPOL Agent + +Extracts company information from email signatures and performs PEPPOL Directory lookup +with a 2-attempt strategy (naive + LLM-refined). +""" + +from datetime import datetime +from typing import List, Optional + +from pydantic import BaseModel, Field +from uipath import UiPath + +from peppol_participant_discovery.lib.api.company_data_hub import fetch_single_signature +from peppol_participant_discovery.lib.config import Settings, load_settings_with_uipath +from peppol_participant_discovery.lib.models import CompanySignature, SignatureReference +from peppol_participant_discovery.lib.pipeline.graph import run_pipeline + + +# ========== Input Model ========== + +class Input(BaseModel): + """Input for mail signature to PEPPOL conversion""" + + signature_text: Optional[str] = Field( + default=None, + description="Email signature text to extract company information from", + examples=[ + "John Doe, CEO\nAcme Corp\n123 Main St, Berlin 10115 DE\nHRB 12345" + ] + ) + + fetch_from_api: bool = Field( + default=False, + description="Fetch a random signature from Company Data Hub API instead of using signature_text" + ) + + perform_peppol_lookup: bool = Field( + default=True, + description="Whether to perform PEPPOL Directory lookup" + ) + + +# ========== Output Model ========== + +class Output(BaseModel): + """Extracted PEPPOL master data from email signature""" + + # Signature identification + signature_id: str = Field( + description="Signature identifier", + examples=["F1103R_HRB118578", "manual_2025-01-03T10:30:00"] + ) + + source: str = Field( + description="Data source", + examples=["opencorporates", "coresignal", "user_input"] + ) + + # Extracted basic data + company_name: Optional[str] = Field( + None, + description="Extracted company name", + examples=["Bounce GmbH"] + ) + + country: Optional[str] = Field( + None, + description="Country code", + examples=["DE", "FR", "NL"] + ) + + email: Optional[str] = Field( + None, + description="Extracted or generated email address", + examples=["billing@bounce.de"] + ) + + domain: Optional[str] = Field( + None, + description="Extracted domain", + examples=["bounce.de"] + ) + + # PEPPOL lookup results + peppol_found: bool = Field( + description="Whether PEPPOL participant was found" + ) + + peppol_participant_id: Optional[str] = Field( + None, + description="PEPPOL participant identifier", + examples=["iso6523-actorid-upis::9915:b"] + ) + + peppol_entities: Optional[List[dict]] = Field( + None, + description="PEPPOL business entities" + ) + + # Search metadata + search_method: Optional[str] = Field( + None, + description="Which search method succeeded", + examples=["naive", "refined"] + ) + + refined_company_name: Optional[str] = Field( + None, + description="LLM-refined company name (if refinement was performed)", + examples=["Bounce"] + ) + + # Status + validation_status: str = Field( + description="Overall validation status", + examples=["valid", "not_found", "error"] + ) + + confidence_score: float = Field( + description="Confidence score of extraction (0.0-1.0)", + examples=[1.0, 0.7, 0.0] + ) + + error: Optional[str] = Field( + None, + description="Error message if pipeline failed" + ) + + +# ========== Main Agent Function ========== + +def main(input_data: Input) -> Output: + """ + Main agent function that extracts PEPPOL master data from email signatures. + + Orchestrates a sophisticated 2-attempt PEPPOL lookup pipeline: + 1. Extract company data from signature + 2. PEPPOL search with raw company name (naive) + 3. If not found: LLM-refine company name + retry PEPPOL search + 4. Fetch detailed participant data if found + + Args: + input_data: Input containing signature text or API fetch flag + + Returns: + Output with extracted PEPPOL master data + """ + + # Initialize UiPath SDK and settings + uipath = UiPath() + settings = load_settings_with_uipath(uipath) + + # ========== Prepare Signature ========== + + signature: CompanySignature + + if input_data.fetch_from_api: + # Fetch from Company Data Hub API + try: + signature = fetch_single_signature(settings) + except Exception as e: + # Return error output + return Output( + signature_id="error", + source="api", + peppol_found=False, + validation_status="error", + confidence_score=0.0, + error=f"Failed to fetch signature from API: {str(e)}" + ) + else: + # Use provided signature text + if not input_data.signature_text: + return Output( + signature_id="error", + source="user_input", + peppol_found=False, + validation_status="error", + confidence_score=0.0, + error="No signature_text provided and fetch_from_api=False" + ) + + signature = CompanySignature( + payload=input_data.signature_text, + reference=SignatureReference( + source="user_input", + id=f"manual_{datetime.now().isoformat()}", + lineage_id="N/A", + href="N/A" + ) + ) + + # ========== Run Pipeline ========== + + if input_data.perform_peppol_lookup: + try: + # Run full LangGraph pipeline + final_state = run_pipeline( + signature=signature, + uipath=uipath, + settings=settings + ) + + # Extract results from pipeline state + extracted = final_state.get("extracted_data") + peppol_details = final_state.get("peppol_participant_details") + + # Determine search method + search_method = None + if final_state.get("naive_found"): + search_method = "naive" + elif final_state.get("refined_found"): + search_method = "refined" + + # If PEPPOL participant found, write to queue + peppol_found = final_state.get("peppol_found", False) + if peppol_found and peppol_details: + try: + import json + import re + from uipath.models.queues import CommitType + + # Create slugified reference from company name and country + company_name = extracted.company_name if extracted else "" + country = extracted.country if extracted else "" + + # Slugify: lowercase, replace spaces/special chars with hyphens + slug_parts = [] + if company_name: + slug_parts.append(re.sub(r'[^a-z0-9]+', '-', company_name.lower()).strip('-')) + if country: + slug_parts.append(country.lower()) + reference = '-'.join(slug_parts) if slug_parts else signature.reference.id + + # Serialize complex data to JSON strings (queues only support simple types) + # Note: When running in UiPath Cloud, folder context is automatic + queue_item = { + "Name": "mailsig-to-peppol", + "Reference": reference, + "SpecificContent": { + "signature_id": signature.reference.id, + "source": signature.reference.source, + "signature_payload": signature.payload, + "company_name": company_name, + "country": country, + "email": extracted.email if extracted else "", + "domain": extracted.domain if extracted else "", + "peppol_participant_id": peppol_details.participant_id, + "peppol_entities_json": json.dumps([e.model_dump() for e in peppol_details.entities]), + "search_method": search_method or "", + "refined_company_name": final_state.get("refined_company_name") or "", + } + } + + # Use bulk create_items method + uipath.queues.create_items( + items=[queue_item], + queue_name="mailsig-to-peppol", + commit_type=CommitType.ALL_OR_NOTHING + ) + except Exception as queue_error: + # Don't fail the whole agent, just log the error + print(f"Warning: Failed to write to queue: {queue_error}") + + # Build output + return Output( + signature_id=signature.reference.id, + source=signature.reference.source, + company_name=extracted.company_name if extracted else None, + country=extracted.country if extracted else None, + email=extracted.email if extracted else None, + domain=extracted.domain if extracted else None, + peppol_found=final_state.get("peppol_found", False), + peppol_participant_id=( + peppol_details.participant_id + if peppol_details else None + ), + peppol_entities=( + [e.model_dump() for e in peppol_details.entities] + if peppol_details else None + ), + search_method=search_method, + refined_company_name=final_state.get("refined_company_name"), + validation_status=( + "valid" if final_state.get("peppol_found") + else "not_found" + ), + confidence_score=( + 1.0 if final_state.get("naive_found") + else 0.7 if final_state.get("refined_found") + else 0.0 + ), + error=final_state.get("error") + ) + + except Exception as e: + return Output( + signature_id=signature.reference.id, + source=signature.reference.source, + peppol_found=False, + validation_status="error", + confidence_score=0.0, + error=f"Pipeline execution failed: {str(e)}" + ) + + else: + # Skip PEPPOL lookup - just extract basic data + from lib.extractors.payload import extract_payload_data + + try: + extracted = extract_payload_data(signature.payload) + + return Output( + signature_id=signature.reference.id, + source=signature.reference.source, + company_name=extracted.company_name, + country=extracted.country, + email=extracted.email, + domain=extracted.domain, + peppol_found=False, + peppol_participant_id=None, + peppol_entities=None, + search_method=None, + refined_company_name=None, + validation_status="pending", + confidence_score=0.5, # Partial - no PEPPOL validation + error=None + ) + + except Exception as e: + return Output( + signature_id=signature.reference.id, + source=signature.reference.source, + peppol_found=False, + validation_status="error", + confidence_score=0.0, + error=f"Extraction failed: {str(e)}" + ) diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/__init__.py new file mode 100644 index 00000000..22d71200 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/__init__.py @@ -0,0 +1 @@ +"""Mail Signature to PEPPOL library modules.""" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/__init__.py new file mode 100644 index 00000000..0ede1577 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/__init__.py @@ -0,0 +1 @@ +"""API clients for external services.""" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/company_data_hub.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/company_data_hub.py new file mode 100644 index 00000000..95da8daf --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/company_data_hub.py @@ -0,0 +1,92 @@ +"""API client for fetching company signatures from the Company Data Hub. + +Direct HTTP client for the Cloudflare Worker API endpoint. +Authentication via API key configured in environment variables. +""" + +from __future__ import annotations + +import httpx + +from ..config import Settings +from ..models import CompanySignature, SignatureResponse + + +def fetch_signatures( + settings: Settings, + size: int = 1, + timeout: int = 30, +) -> SignatureResponse: + """ + Fetch company signatures from the Company Data Hub API. + + Parameters + ---------- + settings: + Configuration containing API endpoint and authentication key. + size: + Number of signatures to fetch (default: 1). + timeout: + Request timeout in seconds (default: 30). + + Returns + ------- + SignatureResponse: + Parsed response containing company signatures. + + Raises + ------ + httpx.HTTPError: + If the API request fails. + ValueError: + If COMPANYDATAHUB_API_KEY is not configured. + """ + if not settings.companydatahub_api_key: + raise ValueError( + "COMPANYDATAHUB_API_KEY not configured. " + "Set it as an environment variable in UiPath Cloud deployment settings." + ) + + headers = {"X-API-Key": settings.companydatahub_api_key} + params = {"size": size} + + with httpx.Client(timeout=timeout) as client: + response = client.get( + settings.api_endpoint, + headers=headers, + params=params, + ) + response.raise_for_status() + data = response.json() + + return SignatureResponse(**data) + + +def fetch_single_signature(settings: Settings) -> CompanySignature: + """ + Convenience function to fetch a single company signature. + + Parameters + ---------- + settings: + Configuration containing API endpoint and authentication key. + + Returns + ------- + CompanySignature: + A single company signature. + + Raises + ------ + ValueError: + If no signatures are returned from the API or if API key is not configured. + httpx.HTTPError: + If the API request fails. + """ + + response = fetch_signatures(settings, size=1) + + if not response.items: + raise ValueError("No signatures returned from API") + + return response.items[0] diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/peppol_client.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/peppol_client.py new file mode 100644 index 00000000..ecc25d9b --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/api/peppol_client.py @@ -0,0 +1,279 @@ +"""PEPPOL Directory API client for querying business entities.""" + +from __future__ import annotations + +import time +from typing import Optional + +import httpx + +from ..models import ( + PeppolDocType, + PeppolEntity, + PeppolLookupResult, + PeppolMatch, + PeppolParticipantDetails, +) + + +class PeppolClient: + """Client for querying the PEPPOL Directory API.""" + + BASE_URL = "https://directory.peppol.eu/search/1.0/json" + RATE_LIMIT_DELAY = 0.5 # 2 queries per second = 0.5s between queries + + def __init__(self, timeout: int = 30): + """ + Initialize PEPPOL client. + + Parameters + ---------- + timeout : int + HTTP request timeout in seconds. + """ + self.timeout = timeout + self._last_query_time: float = 0.0 + + def _enforce_rate_limit(self): + """Enforce rate limit of 2 queries per second.""" + current_time = time.time() + time_since_last_query = current_time - self._last_query_time + + if time_since_last_query < self.RATE_LIMIT_DELAY: + time.sleep(self.RATE_LIMIT_DELAY - time_since_last_query) + + self._last_query_time = time.time() + + def search_by_country_and_name( + self, + country: str, + company_name: str, + result_page_count: int = 20, + ) -> PeppolLookupResult: + """ + Search PEPPOL Directory by country and company name. + + Parameters + ---------- + country : str + ISO country code (e.g., 'DE', 'FR', 'NL', 'AT', 'BE'). + company_name : str + Company name to search for (partial matches supported). + result_page_count : int + Number of results to return per page (default: 20). + + Returns + ------- + PeppolLookupResult + Search results with found flag and matches. + + Raises + ------ + httpx.HTTPError + If the request fails. + ValueError + If company_name is too short (≤ 2 characters). + """ + # Validate inputs + if len(company_name) <= 2: + raise ValueError( + f"Company name must be > 2 characters, got: '{company_name}'" + ) + + # Enforce rate limit + self._enforce_rate_limit() + + # Build query parameters + params = { + "country": country.upper(), + "name": company_name, + "rpc": result_page_count, + } + + # Make request + with httpx.Client(timeout=self.timeout) as client: + response = client.get(self.BASE_URL, params=params) + response.raise_for_status() + data = response.json() + + # Parse response + total_count = data.get("total-result-count", 0) + matches_data = data.get("matches", []) + + # Normalize entity names in the raw data before Pydantic validation + for match in matches_data: + entities = match.get("entities", []) + for entity in entities: + name_value = entity.get("name") + # Normalize name field if it's a list + if isinstance(name_value, list): + if len(name_value) > 0 and isinstance(name_value[0], dict): + entity["name"] = name_value[0].get("name", "Unknown") + elif len(name_value) > 0: + entity["name"] = str(name_value[0]) + else: + entity["name"] = "Unknown" + + # Convert to our models + matches = [PeppolMatch(**match) for match in matches_data] + + return PeppolLookupResult( + found=total_count > 0, + match_count=len(matches), + matches=matches, + query_terms=f"country={country}&name={company_name}", + **{"total-result-count": total_count}, + ) + + def search_by_participant_id( + self, participant_id: str + ) -> Optional[PeppolMatch]: + """ + Search PEPPOL Directory by exact participant ID. + + Parameters + ---------- + participant_id : str + Full participant ID with scheme (e.g., 'iso6523-actorid-upis::9915:test'). + + Returns + ------- + Optional[PeppolMatch] + Match if found, None otherwise. + + Raises + ------ + httpx.HTTPError + If the request fails. + """ + # Enforce rate limit + self._enforce_rate_limit() + + # Build query parameters + params = {"participant": participant_id} + + # Make request + with httpx.Client(timeout=self.timeout) as client: + response = client.get(self.BASE_URL, params=params) + response.raise_for_status() + data = response.json() + + # Parse response + matches_data = data.get("matches", []) + + if not matches_data: + return None + + # Normalize entity names + for match in matches_data: + entities = match.get("entities", []) + for entity in entities: + name_value = entity.get("name") + if isinstance(name_value, list): + if len(name_value) > 0 and isinstance(name_value[0], dict): + entity["name"] = name_value[0].get("name", "Unknown") + elif len(name_value) > 0: + entity["name"] = str(name_value[0]) + else: + entity["name"] = "Unknown" + + return PeppolMatch(**matches_data[0]) + + def get_participant_details( + self, participant_id: str + ) -> Optional[PeppolParticipantDetails]: + """ + Get detailed participant information including raw JSON for reviewer inspection. + + This makes a second call to the PEPPOL Directory to fetch complete + participant details including address data in the JSON response. + + Parameters + ---------- + participant_id : str + Full participant ID with scheme (e.g., 'iso6523-actorid-upis::9915:b'). + + Returns + ------- + Optional[PeppolParticipantDetails] + Detailed participant information with raw JSON, or None if not found. + + Raises + ------ + httpx.HTTPError + If the request fails. + """ + # Enforce rate limit + self._enforce_rate_limit() + + # Build query parameters + params = {"participant": participant_id} + + # Make JSON request + with httpx.Client(timeout=self.timeout) as client: + response = client.get(self.BASE_URL, params=params) + response.raise_for_status() + data = response.json() + + # Keep raw JSON for reviewer inspection + raw_json = data.copy() + + # Parse JSON response + matches_data = data.get("matches", []) + + if not matches_data: + return None + + match = matches_data[0] + + # Normalize entity names + entities_data = match.get("entities", []) + for entity in entities_data: + name_value = entity.get("name") + if isinstance(name_value, list): + if len(name_value) > 0 and isinstance(name_value[0], dict): + entity["name"] = name_value[0].get("name", "Unknown") + elif len(name_value) > 0: + entity["name"] = str(name_value[0]) + else: + entity["name"] = "Unknown" + + # Parse entities + entities = [PeppolEntity(**e) for e in entities_data] + + # Parse doc types + doc_types_data = match.get("docTypes", []) + doc_types = [PeppolDocType(**dt) for dt in doc_types_data] + + return PeppolParticipantDetails( + participant_id=participant_id, + entities=entities, + doc_types=doc_types, + raw_json=raw_json, + ) + + +def lookup_peppol( + country: str, + company_name: str, + timeout: int = 30, +) -> PeppolLookupResult: + """ + Convenience function to lookup a company in PEPPOL Directory. + + Parameters + ---------- + country : str + ISO country code (e.g., 'DE', 'FR', 'NL'). + company_name : str + Company name to search for. + timeout : int + HTTP request timeout in seconds. + + Returns + ------- + PeppolLookupResult + Search results. + """ + client = PeppolClient(timeout=timeout) + return client.search_by_country_and_name(country, company_name) diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/config.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/config.py new file mode 100644 index 00000000..a483b2df --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/config.py @@ -0,0 +1,69 @@ +"""Configuration management with UiPath Asset support.""" + +from __future__ import annotations + +from functools import lru_cache +from typing import Optional + +from dotenv import load_dotenv +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + """Runtime configuration loaded from environment variables or UiPath Assets.""" + + model_config = SettingsConfigDict( + env_file=".env", + env_file_encoding="utf-8", + env_prefix="", + case_sensitive=False, + extra="ignore", + ) + + # LLM Configuration (OpenAI-compatible) + openai_api_key: Optional[str] = Field(default=None, alias="OPENAI_API_KEY") + openai_base_url: Optional[str] = Field( + default=None, + alias="OPENAI_BASE_URL", + description="Optional base URL for OpenAI-compatible endpoints (e.g., OpenRouter, Azure)", + ) + model: str = Field( + default="gpt-4o-mini-2024-07-18", + description="Model identifier (OpenAI, Azure, or other compatible endpoint)", + ) + temperature: float = Field(default=0.0, ge=0.0, le=2.0) + timeout_seconds: int = Field(default=30, gt=0) + + # Company Data Hub API Configuration + api_endpoint: Optional[str] = Field( + default="https://companydata-hub.cprimadotnet.workers.dev/unstructured/signature", + alias="API_ENDPOINT", + ) + companydatahub_api_key: Optional[str] = Field(default=None, alias="COMPANYDATAHUB_API_KEY") + + +@lru_cache(maxsize=1) +def load_settings() -> Settings: + """ + Load settings from .env and environment variables. + + For UiPath deployment, use UiPath Assets to populate environment variables. + For local development, use .env file. + """ + load_dotenv(override=False) + return Settings() + + +def load_settings_with_uipath(uipath) -> Settings: + """ + Load settings from environment variables. + + Args: + uipath: UiPath SDK instance (reserved for future use) + + Returns: + Settings with values from .env or environment variables + """ + load_dotenv(override=False) + return Settings() diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/__init__.py new file mode 100644 index 00000000..739ccce2 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/__init__.py @@ -0,0 +1 @@ +"""Extraction modules for parsing signature payloads.""" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/company.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/company.py new file mode 100644 index 00000000..5fb535fd --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/company.py @@ -0,0 +1,157 @@ +"""Extract company name and person information from signature payloads.""" + +from __future__ import annotations + +import re +from typing import Optional + +from pydantic import BaseModel, Field + + +class ExtractedCompanyInfo(BaseModel): + """Company information extracted from signature.""" + + company_name: str = Field(description="Company name") + + +def extract_company_info(payload: str) -> ExtractedCompanyInfo: + """ + Extract company name from signature payload. + + The payload typically follows these patterns: + + OpenCorporates format: + Company Name + Address + Registration Number + + Coresignal format: + Company Name + URL + Email + Reg-No: number + + Parameters + ---------- + payload : str + Company signature payload text. + + Returns + ------- + ExtractedCompanyInfo + Extracted company information. + """ + + lines = [line.strip() for line in payload.split("\n") if line.strip()] + + if not lines: + return ExtractedCompanyInfo(company_name="Unknown") + + # Registration number patterns (indicates NOT a company name) + reg_patterns = [ + r"^HRB\s+\d+", + r"^HRA\s+\d+", + r"^Reg-No:\s*\d+", + r"^\d{5,}$", # Just a number + ] + + # Role indicators that suggest a line is person, not company + # We use this to SKIP person lines and get company name from next line + role_indicators = [ + # German + "geschäftsführer", + "geschäftsführerin", + "prokurist", + "prokuristin", + "vorstand", + "direktor", + # French + "directeur", + "directrice", + "président", + "gérant", + # Dutch + "bestuurder", + # English + "ceo", + "cfo", + "director", + "managing director", + ] + + company_name = None + + # Check if first line is person (Name, Role format) - if so, use line 2 as company + if len(lines) > 1 and "," in lines[0]: + parts = lines[0].split(",", 1) + if len(parts) > 1: + potential_role = parts[1].strip().lower() + # If the part after comma contains a role indicator, this is a person line + if any(indicator in potential_role for indicator in role_indicators): + # Company name is on line 2 + company_name = lines[1] + + # Try first line as company name if it's not a registration number, address, URL, or email + if company_name is None and len(lines) > 0: + # Check if first line looks like a registration number + is_reg_number = any( + re.match(pattern, lines[0], re.IGNORECASE) for pattern in reg_patterns + ) + # Check if first line looks like an address (has postal code) + has_postal = bool(re.search(r"\b\d{4,5}\s*[A-Z]{0,2}\b", lines[0])) + # Skip URLs + is_url = "http" in lines[0].lower() or "www." in lines[0].lower() + # Skip emails + is_email = "@" in lines[0] + + if not is_reg_number and not has_postal and not is_url and not is_email: + company_name = lines[0] + + # Fallback: if still no company name, use first non-registration line + if company_name is None: + for line in lines: + is_reg = any(re.match(pattern, line, re.IGNORECASE) for pattern in reg_patterns) + # Skip lines that look like addresses (have postal codes) + has_postal = bool(re.search(r"\b\d{4,5}\s*[A-Z]{0,2}\b", line)) + # Skip URLs + is_url = "http" in line.lower() or "www." in line.lower() + # Skip emails + is_email = "@" in line + + if not is_reg and not has_postal and not is_url and not is_email: + company_name = line + break + + # Final fallback + if company_name is None: + company_name = lines[0] if lines else "Unknown" + + # Clean up company name + company_name = clean_company_name(company_name) + + return ExtractedCompanyInfo(company_name=company_name) + + +def clean_company_name(name: str) -> str: + """ + Clean up company name by removing extra markers. + + Parameters + ---------- + name : str + Raw company name. + + Returns + ------- + str + Cleaned company name. + """ + + # Remove leading/trailing whitespace + name = name.strip() + + # Remove "c/o" prefix if present + if name.lower().startswith("c/o "): + name = name[4:].strip() + + return name diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/email.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/email.py new file mode 100644 index 00000000..8793bb10 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/email.py @@ -0,0 +1,252 @@ +"""Extract domain from payload and construct billing email address.""" + +from __future__ import annotations + +import re +from typing import Optional +from urllib.parse import urlparse + +from pydantic import BaseModel, Field + +# Blacklist of common domains that are not company-owned +# These are social media, email providers, and other public services +DOMAIN_BLACKLIST = { + # Social media + "facebook.com", + "linkedin.com", + "twitter.com", + "instagram.com", + "youtube.com", + "tiktok.com", + "pinterest.com", + "snapchat.com", + # Link services + "linktr.ee", + "linktree.com", + "bit.ly", + "tinyurl.com", + # Email providers + "gmail.com", + "yahoo.com", + "outlook.com", + "hotmail.com", + "aol.com", + "protonmail.com", + # File sharing/cloud + "dropbox.com", + "google.com", + "drive.google.com", + "docs.google.com", + "apple.com", + "icloud.com", + # Mapping/location services + "maps.google.com", + "goo.gl", + "spatial.io", + # German specific + "web.de", + "gmx.de", + "gmx.net", + "t-online.de", + # French specific + "orange.fr", + "free.fr", + "laposte.net", + "wanadoo.fr", + # Dutch specific + "ziggo.nl", + "xs4all.nl", + "planet.nl", + "hetnet.nl", +} + + +class ExtractedEmail(BaseModel): + """Email address extracted or constructed from company signature.""" + + billing_email: str = Field(description="Constructed billing email (billing@domain)") + domain: str = Field(description="Extracted domain") + source_type: str = Field( + description="How domain was found: 'email', 'url', or 'none'" + ) + original_value: Optional[str] = Field( + default=None, description="Original email or URL found in payload" + ) + + +def extract_domain_from_email(email: str) -> Optional[str]: + """ + Extract domain from an email address. + + Parameters + ---------- + email : str + Email address to extract domain from. + + Returns + ------- + Optional[str] + Domain or None if invalid email. + """ + # Simple email validation and domain extraction + match = re.match(r"[^@]+@([^@]+)", email) + if match: + return match.group(1).strip() + return None + + +def extract_domain_from_url(url: str) -> Optional[str]: + """ + Extract domain from a URL. + + Parameters + ---------- + url : str + URL to extract domain from. + + Returns + ------- + Optional[str] + Domain or None if invalid URL. + """ + try: + # Add scheme if missing + if not url.startswith(("http://", "https://")): + url = "https://" + url + + parsed = urlparse(url) + domain = parsed.netloc or parsed.path.split("/")[0] + + # Remove 'www.' prefix if present + if domain.startswith("www."): + domain = domain[4:] + + return domain if domain else None + except Exception: + return None + + +def extract_email_from_payload(payload: str) -> Optional[ExtractedEmail]: + """ + Extract domain from payload and construct billing email. + + Searches for: + 1. Email addresses in the payload + 2. URLs in the payload + + Then constructs billing@domain + + Parameters + ---------- + payload : str + Company signature payload text. + + Returns + ------- + Optional[ExtractedEmail] + Extracted email information, or None if no domain found. + """ + + # Pattern 1: Find email addresses + email_pattern = r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b" + email_matches = re.findall(email_pattern, payload) + + if email_matches: + # Try each email found until we find one not on blacklist + for email in email_matches: + domain = extract_domain_from_email(email) + + if domain and domain.lower() not in DOMAIN_BLACKLIST: + return ExtractedEmail( + billing_email=f"billing@{domain}", + domain=domain, + source_type="email", + original_value=email, + ) + + # Pattern 2: Find URLs + # Match http://, https://, or www. patterns + url_pattern = r"(?:https?://)?(?:www\.)?([A-Za-z0-9.-]+\.[A-Za-z]{2,})(?:[/\s]|$)" + url_matches = re.findall(url_pattern, payload) + + if url_matches: + # Try each URL found until we find one not on blacklist + for url_domain in url_matches: + domain = url_domain.strip() + + # Clean up domain (remove trailing punctuation) + domain = re.sub(r"[^\w.-]$", "", domain) + + if domain and domain.lower() not in DOMAIN_BLACKLIST: + return ExtractedEmail( + billing_email=f"billing@{domain}", + domain=domain, + source_type="url", + original_value=domain, + ) + + # Pattern 3: More aggressive URL extraction + # Look for domain-like patterns anywhere in text + lines = payload.split("\n") + for line in lines: + # Check if line looks like a URL or domain + line = line.strip() + + # Match patterns like "example.com", "www.example.com", "http://example.com" + if ( + "http://" in line.lower() + or "https://" in line.lower() + or "www." in line.lower() + ): + # Extract just the URL part + url_match = re.search( + r"(https?://[^\s]+|www\.[^\s]+|[a-zA-Z0-9][a-zA-Z0-9-]*\.[a-zA-Z]{2,}[^\s]*)", + line, + ) + if url_match: + url = url_match.group(0) + domain = extract_domain_from_url(url) + + if domain and domain.lower() not in DOMAIN_BLACKLIST: + return ExtractedEmail( + billing_email=f"billing@{domain}", + domain=domain, + source_type="url", + original_value=url, + ) + + # No domain found + return None + + +def validate_domain(domain: str) -> bool: + """ + Validate that a domain looks reasonable. + + Parameters + ---------- + domain : str + Domain to validate. + + Returns + ------- + bool + True if domain looks valid. + """ + # Basic validation + if not domain or len(domain) < 4: # e.g., "a.co" + return False + + # Must have at least one dot + if "." not in domain: + return False + + # Must not start or end with dot + if domain.startswith(".") or domain.endswith("."): + return False + + # Must have valid characters + if not re.match(r"^[a-zA-Z0-9.-]+$", domain): + return False + + return True diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/payload.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/payload.py new file mode 100644 index 00000000..4b62490f --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/extractors/payload.py @@ -0,0 +1,108 @@ +"""Simple payload extractor for PEPPOL search. + +This module extracts basic information needed for PEPPOL Directory queries. +No complex parsing, no country-specific logic - just simple extraction. +""" + +from __future__ import annotations + +import re +from typing import Optional + +from ..models import ExtractedData +from .company import extract_company_info +from .email import extract_email_from_payload + + +def extract_country_code(payload: str) -> Optional[str]: + """ + Extract country code from payload text. + + Simple approach: Look for 2-letter country codes in common positions. + + Parameters + ---------- + payload : str + Company signature payload. + + Returns + ------- + Optional[str] + Country code (DE, FR, NL, AT, BE, etc.) or None if not found. + """ + # Country-specific extraction code could be here + # For now, simple text search for common European country codes + + # Common PEPPOL countries + peppol_countries = [ + "DE", # Germany + "FR", # France + "NL", # Netherlands + "AT", # Austria + "BE", # Belgium + "ES", # Spain + "IT", # Italy + "DK", # Denmark + "SE", # Sweden + "NO", # Norway + "FI", # Finland + "PL", # Poland + "CH", # Switzerland + "GB", # United Kingdom + "IE", # Ireland + ] + + # Look for country codes at end of address lines or standalone + # Pattern: space + 2 uppercase letters + (space/newline/period/end) + for country in peppol_countries: + # Check for country code in various positions + patterns = [ + rf"\b{country}\s*$", # End of line + rf"\b{country}\.", # Followed by period + rf"\s{country}\s", # Surrounded by spaces + rf"\s{country}\n", # End of line before newline + ] + + for pattern in patterns: + if re.search(pattern, payload, re.MULTILINE | re.IGNORECASE): + return country + + return None + + +def extract_payload_data(payload: str) -> ExtractedData: + """ + Extract basic data from company signature payload. + + Single extraction pass - gets company name, country, email/domain. + No complex parsing, no LLM calls. + + Parameters + ---------- + payload : str + Company signature payload text. + + Returns + ------- + ExtractedData + Extracted company information for PEPPOL search. + """ + # Extract company name (using existing simple extractor) + company_info = extract_company_info(payload) + company_name = company_info.company_name + + # Extract country code + country = extract_country_code(payload) + + # Extract email/domain (using existing extractor) + email_info = extract_email_from_payload(payload) + email = email_info.billing_email if email_info else None + domain = email_info.domain if email_info else None + + return ExtractedData( + company_name=company_name, + country=country, + email=email, + domain=domain, + full_payload=payload, + ) diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/__init__.py new file mode 100644 index 00000000..834ffbad --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/__init__.py @@ -0,0 +1 @@ +"""LLM integration modules.""" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/prompts.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/prompts.py new file mode 100644 index 00000000..6e1920cc --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/prompts.py @@ -0,0 +1,146 @@ +"""Prompt templates for LLM operations - loaded from cloud storage bucket.""" + +from __future__ import annotations + +import httpx +from typing import Optional +from functools import lru_cache + + +# Prompt for refining company names +REFINE_PROMPT_DEFAULT = """You are a company name normalizer for PEPPOL Directory searches. + +Your task: Clean and normalize a company name to improve search results. + +Rules: +1. Remove legal entity suffixes: GmbH, AG, Ltd, Inc, LLC, SARL, B.V., etc. +2. Keep the core business name +3. Fix obvious typos or spacing issues +4. Remove special characters that might interfere with search +5. Keep it simple - don't over-normalize + +Examples: +- "DANMARC Invest-GmbH" → "DANMARC Invest" +- "Kleopatra GmbH" → "Kleopatra" +- "Example Tech Solutions Ltd." → "Example Tech Solutions" +- "Müller & Schmidt KG" → "Müller Schmidt" + +Input company name: {company_name} +Country: {country} + +Output ONLY the refined company name, nothing else.""" + + +@lru_cache(maxsize=10) +def load_prompt_from_bucket( + bucket_url: str, + prompt_name: str, + api_key: Optional[str] = None, + timeout: int = 30 +) -> str: + """ + Load prompt template from cloud storage bucket. + + Parameters + ---------- + bucket_url : str + Base URL of the cloud storage bucket (e.g., R2, S3, etc.) + prompt_name : str + Name of the prompt file to load + api_key : Optional[str] + API key for authentication if required + timeout : int + Request timeout in seconds + + Returns + ------- + str + Prompt template content + + Raises + ------ + httpx.HTTPError + If the request fails + """ + # Construct full URL + url = f"{bucket_url.rstrip('/')}/{prompt_name}" + + # Prepare headers + headers = {} + if api_key: + headers["Authorization"] = f"Bearer {api_key}" + + # Fetch prompt + with httpx.Client(timeout=timeout) as client: + response = client.get(url, headers=headers) + response.raise_for_status() + return response.text + + +def get_refine_prompt( + bucket_url: Optional[str] = None, + api_key: Optional[str] = None +) -> str: + """ + Get company name refinement prompt. + + If bucket_url is provided, loads from bucket. + Otherwise, returns default embedded prompt. + + Parameters + ---------- + bucket_url : Optional[str] + Cloud storage bucket URL + api_key : Optional[str] + API key for bucket access + + Returns + ------- + str + Prompt template + """ + if bucket_url: + try: + return load_prompt_from_bucket( + bucket_url, + "company_name_refine.txt", + api_key + ) + except Exception: + # Fallback to default if bucket load fails + pass + + return REFINE_PROMPT_DEFAULT + + +def format_refine_prompt( + company_name: str, + country: Optional[str] = None, + bucket_url: Optional[str] = None, + api_key: Optional[str] = None +) -> str: + """ + Format the company name refinement prompt with actual values. + + Parameters + ---------- + company_name : str + Company name to refine + country : Optional[str] + Country code + bucket_url : Optional[str] + Cloud storage bucket URL for loading prompt template + api_key : Optional[str] + API key for bucket access + + Returns + ------- + str + Formatted prompt + """ + template = get_refine_prompt(bucket_url, api_key) + + return template.format( + company_name=company_name, + country=country or "Unknown" + ) diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/refiner.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/refiner.py new file mode 100644 index 00000000..d1a81cf0 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/refiner.py @@ -0,0 +1,72 @@ +"""LLM-based company name refiner for improved PEPPOL search results.""" + +from __future__ import annotations + +from typing import Optional + +from uipath import UiPath + +from ..config import Settings +from .prompts import format_refine_prompt +from .uipath_llm import call_llm_with_fallback + + +def refine_company_name( + company_name: str, + country: Optional[str], + uipath: Optional[UiPath], + settings: Settings, +) -> str: + """ + Refine company name for better PEPPOL search results. + + Uses LLM to remove legal suffixes and normalize the name. + + Parameters + ---------- + company_name : str + Original company name from payload. + country : Optional[str] + Country code (helps with country-specific legal forms). + uipath : Optional[UiPath] + UiPath SDK instance (if available). + settings : Settings + Configuration settings. + + Returns + ------- + str + Refined company name. + """ + # Format prompt (with bucket support if configured) + prompt_text = format_refine_prompt( + company_name=company_name, + country=country, + bucket_url=getattr(settings, 'prompt_bucket_url', None), + api_key=getattr(settings, 'prompt_bucket_api_key', None) + ) + + # Call LLM + try: + refined = call_llm_with_fallback( + uipath=uipath, + messages=[("system", prompt_text)], + model=settings.model, + temperature=0.0, # Deterministic for refinement + max_tokens=256, + openai_api_key=settings.openai_api_key, + openai_base_url=settings.openai_base_url, + ) + + # Clean up any whitespace + refined = refined.strip() + + # Fallback: if LLM returns empty or very short, use original + if not refined or len(refined) < 3: + return company_name + + return refined + + except Exception as e: + print(f"Company name refinement failed: {e}, using original name") + return company_name diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/uipath_llm.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/uipath_llm.py new file mode 100644 index 00000000..9010fbba --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/llm/uipath_llm.py @@ -0,0 +1,126 @@ +"""UiPath LLM wrapper for chat completions.""" + +from __future__ import annotations + +from typing import List, Tuple, Union, Optional + +from uipath import UiPath + + +def call_llm( + uipath: UiPath, + messages: Union[List[Dict[str, str]], List[Tuple[str, str]]], + model: str = "gpt-4o-mini-2024-07-18", + temperature: float = 0.0, + max_tokens: int = 512, +) -> str: + """ + Call UiPath LLM Gateway for chat completions. + + Parameters + ---------- + uipath : UiPath + UiPath SDK instance + messages : Union[List[Dict[str, str]], List[Tuple[str, str]]] + Messages in format [("system", "content"), ("user", "content")] + or [{"role": "system", "content": "..."}, ...] + model : str + Model identifier + temperature : float + Temperature for generation (0.0-1.0) + max_tokens : int + Maximum tokens to generate + + Returns + ------- + str + Generated text response + + Raises + ------ + Exception + If LLM call fails + """ + # Call UiPath LLM Gateway + response = uipath.llm.chat_completions( + messages=messages, + model=model, + temperature=temperature, + max_tokens=max_tokens, + n=1, + ) + + # Extract text from response + if hasattr(response, 'choices') and len(response.choices) > 0: + return response.choices[0].message.content.strip() + + raise ValueError("Invalid response from LLM") + + +def call_llm_with_fallback( + uipath: Optional[UiPath], + messages: Union[List[Dict[str, str]], List[Tuple[str, str]]], + model: str = "gpt-4o-mini-2024-07-18", + temperature: float = 0.0, + max_tokens: int = 512, + openai_api_key: Optional[str] = None, + openai_base_url: Optional[str] = None, +) -> str: + """ + Call LLM with fallback to direct OpenAI-compatible endpoint. + + Tries UiPath first, falls back to direct API call if UiPath unavailable. + + Parameters + ---------- + uipath : Optional[UiPath] + UiPath SDK instance (if available) + messages : Union[List[Dict[str, str]], List[Tuple[str, str]]] + Messages for chat + model : str + Model identifier + temperature : float + Temperature for generation + max_tokens : int + Maximum tokens to generate + openai_api_key : Optional[str] + API key for fallback (if not using UiPath) + openai_base_url : Optional[str] + Base URL for fallback (e.g., OpenRouter) + + Returns + ------- + str + Generated text response + """ + # Note: UiPath LLM Gateway is async-only in Python SDK + # For sync contexts, use direct LangChain integration + + # Fallback: Use LangChain with direct API + if openai_api_key and openai_base_url: + from langchain_openai import ChatOpenAI + from langchain_core.output_parsers import StrOutputParser + from langchain_core.prompts import ChatPromptTemplate + + llm = ChatOpenAI( + api_key=openai_api_key, + base_url=openai_base_url, + model=model, + temperature=temperature, + max_tokens=max_tokens, + ) + + # Convert messages to prompt + if isinstance(messages[0], tuple): + # Format: [("system", "content"), ("user", "content")] + prompt_template = "\n\n".join([f"{role}: {content}" for role, content in messages]) + else: + # Format: [{"role": "system", "content": "..."}, ...] + prompt_template = "\n\n".join([f"{msg['role']}: {msg['content']}" for msg in messages]) + + prompt = ChatPromptTemplate.from_template(prompt_template) + chain = prompt | llm | StrOutputParser() + + return chain.invoke({}) + + raise ValueError("No LLM backend available (UiPath or fallback credentials missing)") diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/models.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/models.py new file mode 100644 index 00000000..856a244a --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/models.py @@ -0,0 +1,161 @@ +"""Pydantic models for the mail signature to PEPPOL pipeline.""" + +from __future__ import annotations + +from typing import Optional +from pydantic import BaseModel, Field + + +# ========== Company Signature Models ========== + +class SignatureReference(BaseModel): + """Reference metadata for a company signature.""" + + source: str = Field(description="Data source (e.g., opencorporates, coresignal)") + id: str = Field(description="Unique identifier in the source system") + lineage_id: str = Field(description="Data lineage tracking identifier") + href: str = Field(description="Relative path to full dataset record") + + +class CompanySignature(BaseModel): + """Company signature data from the API.""" + + payload: str = Field( + description="Unstructured text containing company information and address" + ) + reference: SignatureReference = Field(description="Source metadata") + + +class SignatureResponse(BaseModel): + """API response containing company signatures.""" + + count: int = Field(description="Number of items returned") + items: list[CompanySignature] = Field(description="List of company signatures") + + +# ========== Extracted Data Models ========== + +class ExtractedData(BaseModel): + """Data extracted from company signature payload for PEPPOL search.""" + + company_name: str = Field(description="Company name") + country: Optional[str] = Field( + default=None, description="Country code (DE, FR, NL, AT, BE, etc.)" + ) + email: Optional[str] = Field(default=None, description="Email address") + domain: Optional[str] = Field(default=None, description="Domain from email/URL") + full_payload: str = Field(description="Original payload text") + + +# ========== PEPPOL Models ========== + +class PeppolParticipantID(BaseModel): + """PEPPOL participant identifier.""" + + scheme: str = Field(description="Identifier scheme (e.g., iso6523-actorid-upis)") + value: str = Field(description="Participant identifier value") + + +class PeppolDocType(BaseModel): + """PEPPOL document type identifier.""" + + scheme: str = Field(description="Document type scheme") + value: str = Field(description="Document type value") + + +class PeppolEntity(BaseModel): + """ + Business entity information from PEPPOL (normalized). + + The PEPPOL API returns name as either a string or a list of objects. + We normalize it to always be a simple string. + """ + + name: str = Field(description="Business entity name (normalized to string)") + country_code: str = Field( + alias="countryCode", description="ISO country code (e.g., DE, AT, BE)" + ) + geo_info: Optional[str] = Field( + default=None, alias="geoInfo", description="Geographical information" + ) + websites: list[str] = Field(default_factory=list, description="Website URLs") + additional_info: Optional[str] = Field( + default=None, alias="additionalInfo", description="Additional information" + ) + reg_date: Optional[str] = Field( + default=None, alias="regDate", description="Registration date (YYYY-MM-DD)" + ) + + @classmethod + def model_validate(cls, obj): + """Normalize the name field before validation.""" + if isinstance(obj, dict): + name_value = obj.get("name") + + # Normalize name field + if isinstance(name_value, list): + # Extract first name from list of name objects + if len(name_value) > 0 and isinstance(name_value[0], dict): + obj["name"] = name_value[0].get("name", "Unknown") + elif len(name_value) > 0: + obj["name"] = str(name_value[0]) + else: + obj["name"] = "Unknown" + elif not isinstance(name_value, str): + obj["name"] = "Unknown" + + return super().model_validate(obj) + + class Config: + populate_by_name = True + + +class PeppolMatch(BaseModel): + """Single PEPPOL directory match result.""" + + participant_id: PeppolParticipantID = Field( + alias="participantID", description="PEPPOL participant identifier" + ) + doc_types: list[PeppolDocType] = Field( + default_factory=list, + alias="docTypes", + description="Supported document types", + ) + entities: list[PeppolEntity] = Field( + default_factory=list, description="Business entities" + ) + + class Config: + populate_by_name = True + + +class PeppolLookupResult(BaseModel): + """Result from PEPPOL Directory lookup.""" + + found: bool = Field(description="Whether any matches were found") + match_count: int = Field(description="Number of matches found") + matches: list[PeppolMatch] = Field( + default_factory=list, description="List of matches" + ) + query_terms: str = Field(description="Query terms used for search") + total_result_count: int = Field( + alias="total-result-count", description="Total number of results" + ) + + class Config: + populate_by_name = True + + +class PeppolParticipantDetails(BaseModel): + """Detailed participant information from PEPPOL Directory (for reviewer inspection).""" + + participant_id: str = Field(description="Full participant ID") + entities: list[PeppolEntity] = Field( + default_factory=list, description="All business entities for this participant" + ) + doc_types: list[PeppolDocType] = Field( + default_factory=list, description="Supported document types" + ) + raw_json: Optional[dict] = Field( + default=None, description="Raw JSON response for reviewer inspection" + ) diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/__init__.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/__init__.py new file mode 100644 index 00000000..85374b07 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/__init__.py @@ -0,0 +1 @@ +"""LangGraph pipeline for PEPPOL lookup orchestration.""" diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/graph.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/graph.py new file mode 100644 index 00000000..c9d28ea8 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/graph.py @@ -0,0 +1,168 @@ +"""LangGraph StateGraph construction for PEPPOL search pipeline.""" + +from __future__ import annotations + +from typing import Literal, Optional + +from langgraph.graph import END, StateGraph +from uipath import UiPath + +from ..config import Settings +from ..models import CompanySignature +from .nodes import ( + create_refine_company_name_node, + extract_payload_node, + fetch_participant_details_node, + finalize_results_node, + peppol_search_naive_node, + peppol_search_refined_node, +) +from .state import PipelineState + + +def should_fetch_details(state: PipelineState) -> Literal["fetch_details", "refine_name"]: + """ + Conditional edge after naive search to decide next step. + + Returns + ------- + Literal["fetch_details", "refine_name"] + Route to details if found, or refinement if not found. + """ + if state.get("naive_found"): + return "fetch_details" + else: + return "refine_name" + + +def should_fetch_or_finalize(state: PipelineState) -> Literal["fetch_details", "finalize"]: + """ + Conditional edge after refined search. + + Returns + ------- + Literal["fetch_details", "finalize"] + Route to details if found, or finalize if not found. + """ + if state.get("refined_found"): + return "fetch_details" + else: + return "finalize" + + +def build_pipeline_graph( + uipath: Optional[UiPath], + settings: Settings +) -> StateGraph: + """ + Build the complete LangGraph StateGraph for PEPPOL search pipeline. + + Flow: + 1. Extract payload → + 2. PEPPOL search (naive) → + - If found: fetch details → finalize + - If not found: refine name → PEPPOL search (refined) → + - If found: fetch details → finalize + - If not found: finalize + + Parameters + ---------- + uipath : Optional[UiPath] + UiPath SDK instance (for LLM calls) + settings : Settings + Configuration settings + + Returns + ------- + StateGraph + Configured LangGraph StateGraph + """ + # Create graph + graph = StateGraph(PipelineState) + + # Add nodes + graph.add_node("extract_payload", extract_payload_node) + graph.add_node("peppol_naive", peppol_search_naive_node) + + # Refine node needs UiPath SDK and settings injected + refine_node = create_refine_company_name_node(uipath, settings) + graph.add_node("refine_name", refine_node) + + graph.add_node("peppol_refined", peppol_search_refined_node) + graph.add_node("fetch_details", fetch_participant_details_node) + graph.add_node("finalize", finalize_results_node) + + # Define edges + graph.set_entry_point("extract_payload") + graph.add_edge("extract_payload", "peppol_naive") + + # After naive search: found? → fetch details, not found? → refine + graph.add_conditional_edges( + "peppol_naive", + should_fetch_details, + { + "fetch_details": "fetch_details", + "refine_name": "refine_name", + }, + ) + + # After refinement: always try refined search + graph.add_edge("refine_name", "peppol_refined") + + # After refined search: found? → fetch details, not found? → finalize + graph.add_conditional_edges( + "peppol_refined", + should_fetch_or_finalize, + { + "fetch_details": "fetch_details", + "finalize": "finalize", + }, + ) + + # After fetching details: finalize + graph.add_edge("fetch_details", "finalize") + + # Finalize leads to END + graph.add_edge("finalize", END) + + return graph + + +def run_pipeline( + signature: CompanySignature, + uipath: Optional[UiPath], + settings: Settings +) -> PipelineState: + """ + Run the complete PEPPOL search pipeline for a single signature. + + Parameters + ---------- + signature : CompanySignature + Company signature to process + uipath : Optional[UiPath] + UiPath SDK instance + settings : Settings + Configuration settings + + Returns + ------- + PipelineState + Final pipeline state with all results + """ + # Build graph with injected dependencies + graph = build_pipeline_graph(uipath, settings) + compiled_graph = graph.compile() + + # Initialize state + initial_state: PipelineState = { + "signature": signature, + "naive_found": False, + "refined_found": False, + "peppol_found": False, + } + + # Run pipeline + final_state = compiled_graph.invoke(initial_state) + + return final_state diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/nodes.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/nodes.py new file mode 100644 index 00000000..ee6da880 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/nodes.py @@ -0,0 +1,237 @@ +"""LangGraph node functions for PEPPOL search pipeline.""" + +from __future__ import annotations + +from typing import Optional + +from uipath import UiPath + +from ..api.peppol_client import PeppolClient, lookup_peppol +from ..config import Settings +from ..extractors.payload import extract_payload_data +from ..llm.refiner import refine_company_name +from .state import PipelineState + + +def extract_payload_node(state: PipelineState) -> PipelineState: + """ + Extract basic data from signature payload. + + Single extraction pass - no complex parsing, no LLM calls. + + Parameters + ---------- + state : PipelineState + Current pipeline state with signature. + + Returns + ------- + PipelineState + Updated state with extracted_data. + """ + signature = state["signature"] + + try: + extracted_data = extract_payload_data(signature.payload) + state["extracted_data"] = extracted_data + except Exception as e: + state["error"] = f"Extraction failed: {str(e)}" + + return state + + +def peppol_search_naive_node(state: PipelineState) -> PipelineState: + """ + PEPPOL search attempt #1: Use raw company name. + + Parameters + ---------- + state : PipelineState + Current pipeline state with extracted_data. + + Returns + ------- + PipelineState + Updated state with peppol_naive_result and naive_found flag. + """ + extracted = state.get("extracted_data") + + if not extracted or not extracted.company_name or not extracted.country: + state["naive_found"] = False + state["error"] = "Missing company name or country for PEPPOL search" + return state + + try: + result = lookup_peppol(extracted.country, extracted.company_name) + state["peppol_naive_result"] = result + state["naive_found"] = result.found + except Exception as e: + state["naive_found"] = False + state["error"] = f"Naive PEPPOL search failed: {str(e)}" + + return state + + +def create_refine_company_name_node( + uipath: Optional[UiPath], + settings: Settings +): + """ + Factory function to create refine_company_name_node with injected dependencies. + + Parameters + ---------- + uipath : Optional[UiPath] + UiPath SDK instance + settings : Settings + Configuration settings + + Returns + ------- + callable + Node function with dependencies injected + """ + def refine_company_name_node(state: PipelineState) -> PipelineState: + """ + Refine company name using LLM for second PEPPOL search attempt. + + Only called if naive search failed. + + Parameters + ---------- + state : PipelineState + Current pipeline state with extracted_data. + + Returns + ------- + PipelineState + Updated state with refined_company_name. + """ + extracted = state.get("extracted_data") + + if not extracted: + state["refined_company_name"] = None + return state + + try: + refined = refine_company_name( + company_name=extracted.company_name, + country=extracted.country, + uipath=uipath, + settings=settings, + ) + state["refined_company_name"] = refined + except Exception as e: + state["refined_company_name"] = None + state["error"] = f"Name refinement failed: {str(e)}" + + return state + + return refine_company_name_node + + +def peppol_search_refined_node(state: PipelineState) -> PipelineState: + """ + PEPPOL search attempt #2: Use LLM-refined company name. + + Parameters + ---------- + state : PipelineState + Current pipeline state with refined_company_name. + + Returns + ------- + PipelineState + Updated state with peppol_refined_result and refined_found flag. + """ + extracted = state.get("extracted_data") + refined_name = state.get("refined_company_name") + + if not extracted or not refined_name: + state["refined_found"] = False + return state + + try: + result = lookup_peppol(extracted.country, refined_name) + state["peppol_refined_result"] = result + state["refined_found"] = result.found + except Exception as e: + state["refined_found"] = False + error_msg = state.get("error", "") + state["error"] = f"{error_msg}; Refined PEPPOL search failed: {str(e)}" + + return state + + +def fetch_participant_details_node(state: PipelineState) -> PipelineState: + """ + Fetch detailed PEPPOL participant information. + + Only called when a PEPPOL participant was found (either naive or refined search). + + Parameters + ---------- + state : PipelineState + Current pipeline state with peppol search result. + + Returns + ------- + PipelineState + Updated state with peppol_participant_details. + """ + # Get the successful result (either naive or refined) + peppol_result = None + if state.get("naive_found"): + peppol_result = state.get("peppol_naive_result") + elif state.get("refined_found"): + peppol_result = state.get("peppol_refined_result") + + if not peppol_result or not peppol_result.matches: + state["peppol_participant_details"] = None + state["peppol_found"] = False + return state + + # Get first match participant ID + first_match = peppol_result.matches[0] + participant_id_full = ( + f"{first_match.participant_id.scheme}::{first_match.participant_id.value}" + ) + + try: + client = PeppolClient(timeout=30) + details = client.get_participant_details(participant_id_full) + state["peppol_participant_details"] = details + state["peppol_found"] = True + except Exception as e: + state["peppol_participant_details"] = None + state["peppol_found"] = False + error_msg = state.get("error", "") + state["error"] = f"{error_msg}; Participant details fetch failed: {str(e)}" + + return state + + +def finalize_results_node(state: PipelineState) -> PipelineState: + """ + Finalize results (replaces save_with_peppol and save_without_peppol). + + For UiPath agents, we don't save to files - we just ensure all + state is properly set for the Output model. + + Parameters + ---------- + state : PipelineState + Current pipeline state. + + Returns + ------- + PipelineState + State with finalized flags. + """ + # Just ensure peppol_found is set correctly + if state.get("naive_found") or state.get("refined_found"): + state["peppol_found"] = True + else: + state["peppol_found"] = False + + return state diff --git a/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/state.py b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/state.py new file mode 100644 index 00000000..f3481871 --- /dev/null +++ b/samples/peppol-participant-discovery/src/peppol_participant_discovery/lib/pipeline/state.py @@ -0,0 +1,61 @@ +"""State definitions for LangGraph pipeline.""" + +from __future__ import annotations + +from typing import Optional, TypedDict + +from ..models import ( + CompanySignature, + ExtractedData, + PeppolLookupResult, + PeppolParticipantDetails, +) + + +class PipelineState(TypedDict, total=False): + """ + State for the address normalization pipeline with PEPPOL lookup. + + This state is passed between nodes in the LangGraph StateGraph. + """ + + # Input data + signature: CompanySignature + """Original company signature from API.""" + + # Extraction stage + extracted_data: Optional[ExtractedData] + """Extracted company data (name, country, email, domain).""" + + # PEPPOL search - Attempt 1 (naive) + peppol_naive_result: Optional[PeppolLookupResult] + """PEPPOL search result with raw company name.""" + + naive_found: bool + """Whether naive PEPPOL search succeeded.""" + + # Refinement stage (only if naive search failed) + refined_company_name: Optional[str] + """LLM-refined company name for retry.""" + + # PEPPOL search - Attempt 2 (refined) + peppol_refined_result: Optional[PeppolLookupResult] + """PEPPOL search result with refined company name.""" + + refined_found: bool + """Whether refined PEPPOL search succeeded.""" + + # Final result + peppol_found: bool + """Whether PEPPOL participant was found (either attempt).""" + + peppol_participant_details: Optional[PeppolParticipantDetails] + """Detailed PEPPOL participant data with raw JSON (for reviewer inspection).""" + + # Output/storage + output_path: Optional[str] + """Path where results were saved.""" + + # Error handling + error: Optional[str] + """Error message if pipeline failed.""" diff --git a/samples/peppol-participant-discovery/uipath.json b/samples/peppol-participant-discovery/uipath.json new file mode 100644 index 00000000..3120b4e0 --- /dev/null +++ b/samples/peppol-participant-discovery/uipath.json @@ -0,0 +1,113 @@ +{ + "entryPoints": [ + { + "filePath": "src/peppol_participant_discovery/agent.py", + "uniqueId": "f7c8e9a0-b1d2-4e3f-8c5d-6a7b8c9d0e1f", + "type": "agent", + "input": { + "type": "object", + "properties": { + "signature_text": { + "type": "string", + "description": "Email signature text to extract company information from", + "examples": [ + "John Doe, CEO\nAcme Corp\n123 Main St, Berlin 10115 DE\nHRB 12345" + ] + }, + "fetch_from_api": { + "type": "boolean", + "default": false, + "description": "Fetch a random signature from Company Data Hub API instead of using signature_text" + }, + "perform_peppol_lookup": { + "type": "boolean", + "default": true, + "description": "Whether to perform PEPPOL Directory lookup" + } + }, + "description": "Input for mail signature to PEPPOL conversion" + }, + "output": { + "type": "object", + "properties": { + "signature_id": { + "type": "string", + "description": "Signature identifier", + "examples": ["F1103R_HRB118578", "manual_2025-01-03T10:30:00"] + }, + "source": { + "type": "string", + "description": "Data source", + "examples": ["opencorporates", "coresignal", "user_input"] + }, + "company_name": { + "type": "string", + "description": "Extracted company name", + "examples": ["Bounce GmbH"] + }, + "country": { + "type": "string", + "description": "Country code", + "examples": ["DE", "FR", "NL"] + }, + "email": { + "type": "string", + "description": "Extracted or generated email address", + "examples": ["billing@bounce.de"] + }, + "domain": { + "type": "string", + "description": "Extracted domain", + "examples": ["bounce.de"] + }, + "peppol_found": { + "type": "boolean", + "description": "Whether PEPPOL participant was found" + }, + "peppol_participant_id": { + "type": "string", + "description": "PEPPOL participant identifier", + "examples": ["iso6523-actorid-upis::9915:b"] + }, + "peppol_entities": { + "type": "array", + "items": { + "type": "object" + }, + "description": "PEPPOL business entities" + }, + "search_method": { + "type": "string", + "description": "Which search method succeeded", + "examples": ["naive", "refined"] + }, + "refined_company_name": { + "type": "string", + "description": "LLM-refined company name (if refinement was performed)", + "examples": ["Bounce"] + }, + "validation_status": { + "type": "string", + "description": "Overall validation status", + "examples": ["valid", "not_found", "error"] + }, + "confidence_score": { + "type": "number", + "description": "Confidence score of extraction (0.0-1.0)", + "examples": [1.0, 0.7, 0.0] + }, + "error": 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