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process_document_workflow.py
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"""Processes a document in a folder in a Storage container.
The workflows orchestrate the detection of the document type, and if it's an invoice, extract the invoice data from the folder and save the extracted data to a database.
"""
from __future__ import annotations
from invoices.activities import validate_invoice
from invoices.models.invoice import Invoice
from storage.activities import write_bytes_to_blob
from invoices.activities import extract_invoice
from shared.confidence.confidence_result import ConfidenceResult
from shared.workflows.workflow_result import WorkflowResult
from documents.activities import classify_document
from documents.models.document_classification import Classifications, ClassificationDefinitions, ClassificationDefinition
from documents.models.document_folder import DocumentFolder
import azure.durable_functions as df
from shared import app_settings
name = "ProcessDocumentWorkflow"
bp = df.Blueprint()
CONFIDENCE_THRESHOLD = 0.8
@bp.function_name(name)
@bp.orchestration_trigger(context_name="context", orchestration=name)
def run(context: df.DurableOrchestrationContext):
# Step 1: Extract the input from the context
input: DocumentFolder = context.get_input()
result = WorkflowResult(name=input.name)
# Step 2: Validate the input
validation_result = input.validate()
if not validation_result.is_valid:
result.merge(validation_result)
return result
result.add_message("DocumentFolder.validate", "input is valid")
# Step 3: Process each file
for document in input.document_file_names:
# Classify the document
classification: ConfidenceResult[Classifications | None] = yield context.call_activity(
classify_document.name,
classify_document.Request(
container_name=input.container_name,
blob_name=document,
classification_definitions=ClassificationDefinitions(
classifications=[
ClassificationDefinition(
classification="Invoice",
description="A document that serves as a bill for goods or services provided, often used for payment processing and record-keeping."
),
ClassificationDefinition(
classification="Email",
description="A digital message sent electronically, typically containing text, images, or attachments."
),
ClassificationDefinition(
classification="None",
description="No classification available for the document."
),
])))
if not classification or not classification.data:
result.add_error(
classify_document.name,
f"Failed to classify document {document}.")
continue
document_classification_stored = yield context.call_activity(
write_bytes_to_blob.name,
write_bytes_to_blob.Request(
storage_account_name=app_settings.azure_storage_account,
container_name=input.container_name,
blob_name=f"{document}.Classification.json",
content=classification.model_dump_json().encode("utf-8"),
overwrite=True))
if not document_classification_stored:
result.add_error(
write_bytes_to_blob.name,
f"Failed to store classification for {document}.")
continue
if classification.overall_confidence < CONFIDENCE_THRESHOLD:
result.add_error(
classify_document.name,
f"Document {document} classified with low confidence {classification.overall_confidence}.")
continue
result.add_message(
classify_document.name,
f"Document {document} classified with confidence {classification.overall_confidence}.")
if len(classification.data.page_classifications) == 0:
result.add_message(
classify_document.name,
f"Document {document} has no valid classifications.")
continue
for page_classification in classification.data.page_classifications:
result.add_message(
classify_document.name,
f"Document {document} classified as {page_classification.classification} from page {page_classification.image_range_start} to {page_classification.image_range_end}.")
# If the document is classified as an invoice, extract the invoice data
if page_classification.classification == "Invoice":
invoice: ConfidenceResult[Invoice | None] = yield context.call_activity(
extract_invoice.name,
extract_invoice.Request(
container_name=input.container_name,
blob_name=document,
page_range_start=page_classification.image_range_start,
page_range_end=page_classification.image_range_end))
if not invoice or not invoice.data:
result.add_error(
extract_invoice.name,
f"Failed to extract invoice data for {document} from page {page_classification.image_range_start} to {page_classification.image_range_end}.")
continue
invoice_stored = yield context.call_activity(
write_bytes_to_blob.name,
write_bytes_to_blob.Request(
storage_account_name=app_settings.azure_storage_account,
container_name=input.container_name,
blob_name=f"{document}.{page_classification.image_range_start}-{page_classification.image_range_end}.Data.json",
content=invoice.model_dump_json().encode("utf-8"),
overwrite=True))
if not invoice_stored:
result.add_error(
write_bytes_to_blob.name,
f"Failed to store invoice data for {document} from page {page_classification.image_range_start} to {page_classification.image_range_end}.")
continue
if invoice.overall_confidence < CONFIDENCE_THRESHOLD:
result.add_error(
extract_invoice.name,
f"Invoice {document} extracted with low confidence {invoice.overall_confidence}.")
continue
result.add_message(
extract_invoice.name,
f"Invoice {document} extracted with confidence {invoice.overall_confidence}.")
invoice_validation: validate_invoice.Result = yield context.call_activity(
validate_invoice.name,
validate_invoice.Request(
name=document,
data=invoice.data))
result.merge(invoice_validation)
yield context.call_activity(
write_bytes_to_blob.name,
write_bytes_to_blob.Request(
storage_account_name=app_settings.azure_storage_account,
container_name=input.container_name,
blob_name=f"{document}.{page_classification.image_range_start}-{page_classification.image_range_end}.Validation.json",
content=validate_invoice.Result.to_json(
invoice_validation).encode("utf-8"),
overwrite=True))
else:
result.add_message(
classify_document.name,
f"Skipping {page_classification.classification} document {document}.")
continue
return result.model_dump()