proposal-system/lambdas/library-ingest/app.py
Adam Moussa 9d6612e337 Implement Lambda functions for PDF processing, suggestions, and library ingest
- pdf-extract: Parse vendor PDFs with pdfplumber, fallback to Claude multimodal
- pdf-generate: Generate branded proposal PDFs with reportlab Platypus
- library-ingest: Format approved proposals as markdown and sync to Bedrock KB
- suggestions: Query KB for similar proposals, generate line items via Claude
- All Lambdas use internal API key auth and cold-start secret caching
- Fix pdf_path unbound variable in pdf-extract error handling
2026-05-16 22:10:21 -04:00

194 lines
5.8 KiB
Python

"""Proposal System - Library Ingest Lambda.
Processes approved/sent proposals into the Bedrock Knowledge Base library.
Formats proposal data as structured markdown and uploads to the library bucket,
then triggers a KB sync.
"""
import json
import os
from datetime import datetime
import boto3
import httpx
LIBRARY_BUCKET = os.environ.get("LIBRARY_BUCKET", "")
KNOWLEDGE_BASE_ID = os.environ.get("KNOWLEDGE_BASE_ID", "")
DATA_SOURCE_ID = os.environ.get("DATA_SOURCE_ID", "")
API_BASE_URL = os.environ.get("API_BASE_URL", "")
INTERNAL_API_KEY_SECRET_ARN = os.environ.get("INTERNAL_API_KEY_SECRET_ARN", "")
s3 = boto3.client("s3")
bedrock_agent = boto3.client("bedrock-agent")
secrets_client = boto3.client("secretsmanager")
_cached_api_key: str | None = None
def _get_api_key() -> str:
global _cached_api_key
if _cached_api_key is None:
if INTERNAL_API_KEY_SECRET_ARN:
resp = secrets_client.get_secret_value(SecretId=INTERNAL_API_KEY_SECRET_ARN)
_cached_api_key = resp["SecretString"]
else:
_cached_api_key = ""
return _cached_api_key
def handler(event, context):
for record in event.get("Records", []):
body = json.loads(record["body"])
payload = body.get("payload", body)
proposal_id = payload["proposalId"]
process_ingestion(proposal_id)
return {"statusCode": 200}
def process_ingestion(proposal_id: str):
proposal = fetch_proposal(proposal_id)
if not proposal:
print(f"Proposal {proposal_id} not found")
return
line_items = fetch_line_items(proposal_id)
document = format_proposal_document(proposal, line_items)
s3_key = upload_to_library(proposal, document)
if s3_key:
trigger_kb_sync()
def fetch_proposal(proposal_id: str) -> dict | None:
try:
resp = httpx.get(
f"{API_BASE_URL}/api/proposals/{proposal_id}",
headers=_api_headers(),
timeout=10,
)
if resp.status_code == 200:
return resp.json()
except Exception as e:
print(f"Error fetching proposal: {e}")
return None
def fetch_line_items(proposal_id: str) -> list[dict]:
try:
resp = httpx.get(
f"{API_BASE_URL}/api/proposals/{proposal_id}/line-items",
headers=_api_headers(),
timeout=10,
)
if resp.status_code == 200:
return resp.json()
except Exception as e:
print(f"Error fetching line items: {e}")
return []
def format_proposal_document(proposal: dict, line_items: list[dict]) -> str:
total = sum(li.get("totalPrice", 0) for li in line_items)
submitted_at = proposal.get("submittedAt", "")
if submitted_at:
try:
dt = datetime.fromisoformat(submitted_at.replace("Z", "+00:00"))
submitted_at = dt.strftime("%Y-%m-%d")
except (ValueError, TypeError):
pass
lines = [
f"# Proposal: {proposal['proposalNumber']}",
"",
f"**Customer:** {proposal['customerName']}",
f"**Address:** {proposal.get('customerAddress', '')}",
f"**Service Category:** {proposal['serviceCategory']}",
f"**Priority:** {proposal['priority']}",
f"**Date:** {submitted_at}",
f"**Total Bid Amount:** ${total:,.2f}",
f"**Work Order:** {proposal.get('workOrderNumber', '')}",
"",
"## Scope of Work",
"",
proposal.get("refinedScope") or proposal.get("scopeOfWork", ""),
"",
"## Line Items",
"",
"| # | Description | Qty | Unit | Unit Price | Total |",
"|---|---|---|---|---|---|",
]
for i, li in enumerate(line_items, 1):
desc = li.get("description", "")
qty = li.get("quantity", "")
unit = li.get("unit", "")
unit_price = li.get("unitPrice")
total_price = li.get("totalPrice", 0)
up_str = f"${unit_price:,.2f}" if unit_price else "-"
tp_str = f"${total_price:,.2f}"
lines.append(f"| {i} | {desc} | {qty} | {unit} | {up_str} | {tp_str} |")
lines.extend([
"",
f"**Total: ${total:,.2f}**",
])
return "\n".join(lines)
def upload_to_library(proposal: dict, document: str) -> str | None:
if not LIBRARY_BUCKET:
print("No library bucket configured")
return None
proposal_number = proposal["proposalNumber"]
category = proposal.get("serviceCategory", "General")
s3_key = f"proposals/{category.lower()}/{proposal_number}.md"
try:
s3.put_object(
Bucket=LIBRARY_BUCKET,
Key=s3_key,
Body=document.encode("utf-8"),
ContentType="text/markdown",
Metadata={
"service-category": category,
"proposal-number": proposal_number,
"customer-name": proposal.get("customerName", ""),
"total-amount": str(proposal.get("totalBidAmount", 0)),
"date-submitted": proposal.get("submittedAt", ""),
},
)
print(f"Uploaded {s3_key} to library bucket")
return s3_key
except Exception as e:
print(f"Error uploading to library: {e}")
return None
def trigger_kb_sync():
if not KNOWLEDGE_BASE_ID or not DATA_SOURCE_ID:
print("KB or data source ID not configured, skipping sync")
return
try:
response = bedrock_agent.start_ingestion_job(
knowledgeBaseId=KNOWLEDGE_BASE_ID,
dataSourceId=DATA_SOURCE_ID,
)
job_id = response.get("ingestionJob", {}).get("ingestionJobId", "")
print(f"Started KB ingestion job: {job_id}")
except Exception as e:
print(f"Error triggering KB sync: {e}")
def _api_headers() -> dict:
headers = {"Content-Type": "application/json"}
api_key = _get_api_key()
if api_key:
headers["X-Internal-Api-Key"] = api_key
return headers