PIGS-74_Updated storytelling of samples

samples/python/api/base_client.py

@@ -10,7 +10,6 @@
 from pydantic import BaseModel, Field
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
-
 TOKEN_EXPIRY_BUFFER_SECONDS = 60
 
 

samples/python/api/platform_api.py

@@ -38,7 +38,10 @@ def _request(
         data = {"method": method, "params": json.dumps(params or {})}
 
         response = self._client.post(
-            f"{self._settings.platform_base_url}/{endpoint}", headers=headers, files=files, data=data
+            f"{self._settings.platform_base_url}/{endpoint}",
+            headers=headers,
+            files=files,
+            data=data,
         )
 
         response.raise_for_status()
@@ -62,7 +65,10 @@ def _request_bytes(
         data = {"method": method, "params": json.dumps(params or {})}
 
         response = self._client.post(
-            f"{self._settings.platform_base_url}/{endpoint}", headers=headers, files=files, data=data
+            f"{self._settings.platform_base_url}/{endpoint}",
+            headers=headers,
+            files=files,
+            data=data,
         )
 
         response.raise_for_status()

samples/python/batch_process.py

@@ -3,19 +3,21 @@
 📁 BATCH DOCUMENT CONVERSION
 =============================
 
-The script exemplifies a typical workflow for document format standardization.
-As a IT administrator, it's essential to convert
-large collections of documents into standardized formats for archival, compliance,
-or system integration purposes. Manually converting individual files through desktop
-applications is time-consuming and impractical for large document sets, often leading
-to inconsistent results and wasted effort.
-
-This workflow automates bulk document conversion. The script processes files
-individually - for every document matching the specified pattern in the input folder,
-it converts the file to the target format (PDF, DOCX, XLSX, PNG, JPG, etc.) using
-high-fidelity conversion algorithms. Each converted file is saved to the output
-folder with the same base name but the new format extension, resulting in a
-complete batch of standardized documents.
+This script shows a standard workflow for document format standardization.
+
+As an IT administrator, you must convert many documents to standard
+formats for archiving, compliance, or system integration. Manual conversion
+with desktop applications takes a long time and is not practical for large
+document sets. It can also cause inconsistent results and wasted effort.
+
+This workflow automates bulk document conversion. The script scans the input
+folder for files that match a specified pattern and processes each file one
+by one. For each document, the script converts the file to the target format,
+such as PDF, DOCX, XLSX, PNG, or JPG, using high-quality conversion methods.
+
+Each converted file is saved in the output folder with the same base name and a new
+format extension. The result is a complete set of standardized documents that are
+ready for use.
 
 BATCH CONVERSION FEATURES:
   ✓ Multiple format support (PDF, DOCX, XLSX, PNG, JPG, etc.)
@@ -38,6 +40,7 @@
 from api.platform_api import PlatformAPIClient
 from helper_functions.document_helpers import validate_and_setup
 
+
 class OutputFormat(str, Enum):
     """Supported output formats for document conversion."""
 

samples/python/bulk_password_protect.py

@@ -3,19 +3,26 @@
 🔐 BULK PASSWORD PROTECTION
 ============================
 
-The script exemplifies a typical workflow for securing confidential documents.
-As a security professional, it's essential to protect sensitive
-documents with passwords before distributing them to authorized personnel, storing
-them in shared drives, or archiving them for compliance purposes. Manually setting
-passwords on individual files is tedious and inconsistent, leading to weak passwords
-or missed files that remain unprotected.
-
-This workflow automates secure document protection. The script processes each PDF
-file individually - for every document in the input folder, it applies robust
-password encryption using a consistent password across all files. Each protected
-file is saved to the output folder with the same filename, ensuring that the entire
-batch of documents maintains uniform security standards. The result is a complete
-set of password-protected PDFs ready for secure distribution or storage.
+This script shows a standard workflow to protect confidential documents.
+
+Security staff must protect sensitive documents with passwords before they
+share them with authorized users, save them in shared drives, or store them
+for compliance. Manually adding passwords to individual files takes a lot of
+time and can cause errors. This can result in weak passwords or files that are
+not protected. This workflow automates document protection.
+
+The script processes one PDF file at a time. For each PDF file in the input folder, the script:
+
+Applies password encryption
+
+Uses the same password for all files
+
+Saves the protected file to the output folder with the same file
+name
+
+This process ensures that all documents follow the same security standard.
+The result is a set of password-protected PDF files ready for secure
+sharing or storage.
 
 DOCUMENT SECURITY STANDARDS:
   ✓ Password encryption (AES-256)

samples/python/convert_cli.py

@@ -3,17 +3,22 @@
 🔄 SINGLE DOCUMENT CONVERSION
 ==============================
 
-The script exemplifies a typical workflow for quick document format conversion.
-As a business professional, you often need to convert individual
-documents between formats for sharing, presentations, or compatibility requirements.
-Whether converting a Word document to PDF for distribution, an Excel spreadsheet to
-CSV for data processing, or a presentation to images for web display, manual
-conversion through multiple applications is inefficient.
-
-This workflow provides instant document conversion. The script takes a single input
-file and converts it to the specified output format using professional-grade
-conversion algorithms. The result is a high-quality converted file that preserves
-formatting, structure, and content fidelity, ready for immediate use.
+This script demonstrates a simple and efficient way to convert documents between formats.
+
+In daily work, you may need to convert individual files for sharing,
+presenting, or ensuring compatibility with different systems. For example,
+you might convert a Word document to a PDF for easy distribution, an Excel
+spreadsheet to a CSV file for data processing, or a presentation into images
+for use on a website. Doing this manually across multiple applications can be
+time-consuming and inconvenient.
+
+This workflow simplifies the process by providing instant document
+conversion. You supply a single input file and choose the desired output
+format. The script handles the conversion automatically using high-quality
+conversion methods.
+
+The resulting file maintains the original layout, structure, and content
+accuracy, so it is ready to use right away.
 
 CONVERSION FEATURES:
   ✓ Multiple format support (PDF, DOCX, XLSX, PNG, etc.)
@@ -36,6 +41,7 @@
 
 from api.platform_api import PlatformAPIClient
 
+
 class OutputFormat(str, Enum):
     """Supported output formats for document conversion."""
 

samples/python/employee_policy_onboarding.py

@@ -3,24 +3,33 @@
 📝 EMPLOYEE POLICY ONBOARDING
 ==============================
 
-This script exemplifies a typical HR onboarding workflow for new employees.
-As an HR professional, it's necessary to ensure all new hires review and sign
-required company policies before their start date. Manual distribution and
-tracking of signatures is time-consuming and error-prone, especially when
-onboarding multiple employees simultaneously.
-
-This workflow automates policy distribution and signature collection. The script
-processes each new employee individually - for every person in the CSV file, it
-creates a signature envelope containing all company policy documents, sends it
-via email with signature fields pre-configured, monitors the signing status, and
-automatically downloads the signed documents once completed. Each employee's
-signed policies are organized in their own folder, creating an audit-ready
-archive of onboarding documentation.
-
-
-NOTE: To run this script and see the complete workflow, you must provide a CSV file
-with valid employee names and email addresses. The script will send actual signature
-requests to these email addresses and wait for them to be signed.
+HR staff must make sure that all new employees review and sign required
+company policies before their start date. Manual distribution and manual
+tracking of signed documents takes a lot of time and can cause errors. This
+is especially true when you onboard many employees at the same time.
+
+This workflow automates the distribution of policies and the collection of signatures.
+
+The script processes one employee at a time. For each employee listed in the CSV file, the script:
+
+Creates a signature envelope that contains all required company policy documents
+
+Sends the envelope by email with signature fields already set
+
+Tracks the signature status
+
+Downloads the signed documents when the signing process is complete
+
+The script saves each employee's signed documents in a separate folder.
+This creates an organized and audit-ready record of onboarding
+documents.
+
+
+NOTE: To run this script and view the full workflow, you must provide a
+CSV file with valid employee names and email addresses. The script sends
+real signature requests to these email addresses and waits for the
+employees to sign the documents.
+
 
 EMPLOYEE CSV FORMAT:
   name,email

samples/python/extract_data.py

@@ -3,18 +3,23 @@
 📊 DOCUMENT DATA EXTRACTION
 ============================
 
-The script exemplifies a typical workflow for intelligent document data extraction.
-As a data analyst, you need to extract structured
-data from PDF documents - whether form fields from applications, surveys, and
-questionnaires, or table data from reports, invoices, and financial statements.
-Manual data entry is error-prone and time-consuming, especially when processing
-hundreds of documents for analysis or database import.
-
-This workflow automates data extraction using AI-powered document understanding.
-The script analyzes PDF documents and intelligently identifies and extracts either
-form fields (with field names and values) or table structures (with rows, columns,
-and cell contents). The extracted data is saved as structured JSON, ready for
-immediate integration with databases, spreadsheets, or analytics pipelines.
+This script shows how to automatically extract useful data from PDF documents.
+
+If you work with PDFs, you often need to pull structured information from
+them. This might include form fields from applications, surveys, or
+questionnaires, as well as table data from reports, invoices, or financial
+statements. Entering this information by hand can be slow and can lead to
+mistakes, especially when you are processing a large number of documents.
+
+This workflow makes the process faster and easier by automating data
+extraction. The script analyzes PDF files and uses intelligent document
+analysis to find and extract the information you need. It can capture form
+fields with their names and values, or detect tables and extract their rows,
+columns, and cell contents.
+
+The extracted data is saved in a structured JSON format. This makes it
+easy to load into databases, spreadsheets, or analytics tools so you can
+start working with the data right away.
 
 DATA EXTRACTION FEATURES:
   ✓ AI-powered form field extraction

samples/python/helper_functions/sign_helpers.py

@@ -12,8 +12,6 @@
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
-import httpx
-
 if TYPE_CHECKING:
     from api.sign_api import SignAPIClient
 

samples/python/prepare_pdf_for_distribution.py

@@ -3,18 +3,25 @@
 🔒 PREPARE PDF FOR DISTRIBUTION
 ================================
 
-The script exemplifies a typical workflow of marketing brochure distribution.
-As a marketing professional, it's necessary to share company brochures externally
-while ensuring they comply with corporate distribution standards. Word document
-properties can expose internal information such as author names, template paths,
-revision history, and company file structures that should remain confidential.
-
-This workflow automates compliant document preparation. The script processes each
-file individually - for every brochure in the input folder, it converts the Word
-document into PDF format, then compresses the file to reduce size and optimize
-transmission, and finally removes all metadata properties to ensure privacy and
-confidentiality. Each processed file is saved to the output folder, resulting in
-distribution-ready brochures.
+This script shows a standard workflow for distributing marketing brochures.
+As a marketing professional, it's necessary to share company brochures
+externally while ensuring they comply with corporate distribution standards.
+Word document properties can expose internal information such as author names,
+template paths, revision history, and company file structures that should
+remain confidential.
+
+This workflow prepares documents for compliant distribution. The script
+processes each file separately. For each brochure in the input folder,
+the script performs these steps:
+
+1. Convert the Word document to PDF format.
+
+2. Compress the PDF file to reduce file size and improve transmission.
+
+3. Remove all metadata to protect privacy and confidentiality.
+
+The script saves each processed file to the output folder. The result is
+a set of brochures that are ready for external distribution.
 
 COMPANY DISTRIBUTION STANDARDS:
   ✓ PDF format (prevents editing)

samples/python/redact_by_keyword.py

@@ -3,19 +3,23 @@
 🔍 KEYWORD-BASED REDACTION
 ===========================
 
-The script exemplifies a typical workflow for targeted content redaction.
-As a compliance officer, you need to redact specific
-sensitive terms from documents before external sharing or public disclosure.
-Whether removing client names, project codenames, financial figures, or
-proprietary terminology, manually searching through pages and applying redactions
-is tedious and risks missing instances, potentially exposing confidential information.
-
-This workflow automates keyword-based redaction. The script searches the entire
-PDF document for all specified keywords and phrases, identifies their exact
-locations across all pages, then automatically applies permanent redactions to
-remove them. Multiple keywords can be processed in a single pass, ensuring
-comprehensive coverage. The result is a thoroughly redacted document ready for
-safe distribution.
+This script shows a standard workflow for targeted content redaction.
+
+As a compliance officer, you must remove sensitive information from
+documents before you share them outside the organization or release them to
+the public. This information can include client names, project code names,
+financial values, or proprietary terms. Finding and removing this content
+by hand can be slow and difficult. You can also miss some instances, which
+can expose confidential information.
+
+This workflow automates keyword-based redaction. The script searches the
+full PDF document for all specified keywords and phrases. It finds each
+instance on every page. The script then applies permanent redactions to
+remove the content.
+
+You can process multiple keywords in one run that ensures full and
+consistent coverage. The result is a clean, redacted document that is safe
+to share.
 
 KEYWORD REDACTION FEATURES:
   ✓ Multi-keyword search (process multiple terms)