Wrike Import Tools

Two Python tools for automatically importing project structures and deliverable tasks into Wrike from JSON files.

Tools Overview

1. wrike_import.py - Simple Batch Processor

A standalone script for one-time or manual batch imports. Processes all JSON files in a directory and exits.

2. wrike_monitor.py - Real-time Monitor Service

A continuous monitoring service that watches a folder 24/7, processes files as they arrive, and sends daily email reports. Designed to run as a systemd service.

Common Features

Both tools create the following Wrike structure:

• Folders (product categories like "Dry Specialty", "Air", "PDC")
• Projects (campaigns with timelines and metadata)
• Tasks (deliverables with custom fields and due dates)

Both intelligently handle duplicates by checking OMG numbers before creating new items.

Features Comparison

wrike_import.py (Batch Script)

• ✅ Simple command-line usage
• ✅ Process all files and exit
• ✅ Good for one-time imports or manual runs
• ✅ Moves processed files to Processed/
• ✅ Auto-cleanup of old files

wrike_monitor.py (Service)

• ✅ Real-time folder monitoring with watchdog
• ✅ Automatic processing as files arrive
• ✅ Daily email reports at 7PM
• ✅ Periodic scanning for missed files
• ✅ Failed file handling with error logs
• ✅ Auto-cleanup of processed files (24h)
• ✅ Statistics tracking and performance monitoring
• ✅ Systemd service support for production
• ✅ Sequential processing to prevent race conditions

Common Features (Both)

• ✅ Automatic folder creation from BusinessArea hierarchy
• ✅ Project management with start/end dates and campaign codes
• ✅ Task creation with comprehensive custom fields
• ✅ Duplicate prevention via OMG number checking
• ✅ Smart caching to minimize API calls
• ✅ Detailed logging with progress tracking

Quick Start

For Batch Processing (wrike_import.py)

# Install dependencies
pip install requests

# Run on a folder
python wrike_import.py /path/to/json/files/

For Real-time Monitoring (wrike_monitor.py)

# Install dependencies
pip install -r requirements.txt

# Configure paths in wrike_monitor.py (lines 41-44)
# Run the monitor
python wrike_monitor.py

See INSTALLATION.md for systemd service setup.

Requirements

Python Dependencies

For wrike_import.py:

pip install requests

For wrike_monitor.py:

pip install requests watchdog schedule
# Or use requirements.txt:
pip install -r requirements.txt

Python Version

• Python 3.6 or higher

Wrike Requirements

• Valid Wrike API token with write permissions
• Access to the target Wrike space
• Custom fields configured in the space (see Configuration section)

Installation

1. Clone or download this repository
2. Install dependencies:

   pip install requests
   

3. Configure your Wrike API token in the script (see Configuration)

Configuration

1. API Token

Edit wrike_import.py and update the WRIKE_TOKEN constant:

WRIKE_TOKEN = "your_wrike_api_token_here"

2. Target Space

Update the STAGING_SPACE_ID to point to your target Wrike space:

STAGING_SPACE_ID = "MQAAAABpz7l_"  # Your space ID

To find your space ID:

curl -X GET "https://www.wrike.com/api/v4/spaces" \
  -H "Authorization: Bearer YOUR_TOKEN"

3. Custom Fields

The script expects the following custom fields to exist in your Wrike space:

Field Name	Type	ID Variable	Usage
Budget	Currency	budget	Project budgets
Impact	Dropdown	impact	Priority level
Notes	Text	notes	Additional information
RAG	Dropdown	rag	Status (Red/Amber/Green)
Deliverable Category	Dropdown	deliverable_category	Type of deliverable
Actions	Text	actions	Next steps
Shoot date	Date	shoot_date	Photography date
OMG #	Text	omg_number	Job/Campaign number
Box Link	Text	box_link	Link to assets
Owner	Contacts	owner	Task owner

To create these fields, use the Wrike API or create them manually in the Wrike interface.

Update custom field IDs in the script after creating them:

CUSTOM_FIELDS = {
    "budget": "YOUR_BUDGET_FIELD_ID",
    "impact": "YOUR_IMPACT_FIELD_ID",
    # ... etc
}

JSON File Format

Required Structure

{
  "JobSpecification": {
    "ProjectDetails": {
      "BusinessArea": "BISSELL > PRODUCT MARKETING > Dry Specialty",
      "Title": "PowerClean FurFinder + FurGuard 2025",
      "Description": "<p>PowerClean FurFinder + FurGuard 2025-related workflows</p>",
      "StartDate": "2025-04-08 13:00:00+00",
      "EndDate": "2025-12-31 17:06:00+00"
    },
    "JobDetails": {
      "Number": "5791330",
      "Title": "PowerClean Corded Mass User Guide",
      "CampaignCode": "1647476",
      "JobCategory": "UX User Guide",
      "MediaType": "Creative development",
      "Type": "Creative development",
      "Notes": "User guide for mass market",
      "BriefDate": "2025-05-23 16:00:00+00",
      "DueDate": "2025-09-17 16:04:00+00",
      "BusinessArea": "BISSELL > PRODUCT MARKETING > Dry Specialty"
    }
  }
}

Field Mapping

Project Level

JSON Field	Maps To	Notes
ProjectDetails.BusinessArea	Folder name	Last segment (e.g., "Dry Specialty")
ProjectDetails.Title	Project title
ProjectDetails.Description	Project description	HTML tags removed
ProjectDetails.StartDate	Project start date	Converted to YYYY-MM-DD
ProjectDetails.EndDate	Project end date	Converted to YYYY-MM-DD
JobDetails.CampaignCode	Project OMG #	Custom field

Task/Deliverable Level

JSON Field	Maps To	Notes
JobDetails.Number	Task OMG #	Used for duplicate detection
JobDetails.Title	Task title
JobDetails.Notes	Task description
JobDetails.JobCategory	Deliverable Category	Custom field
JobDetails.MediaType	Deliverable Category	Fallback if JobCategory empty
JobDetails.Type	Notes field	Combined with Details
JobDetails.BriefDate	Task start date
JobDetails.DueDate	Task due date

Usage

Basic Usage

Process all JSON files in a directory:

python wrike_import.py /path/to/json/files/

Example

# Process files in the current directory
python wrike_import.py ./jobs/

# Process files in a specific folder
python wrike_import.py ~/Documents/wrike_imports/

Output Example

Found 3 JSON file(s) to process
Target: Wrike Staging Space (MQAAAABpz7l_)

================================================================================
Processing: 5791330.json
================================================================================

1. Processing folder: 'Dry Specialty'
  Found existing folder 'Dry Specialty': MQAAAABpz123

2. Processing project: 'PowerClean FurFinder + FurGuard 2025'
   Campaign Code: 1647476
  Found existing project 'PowerClean FurFinder + FurGuard 2025': MQAAAABpz456

3. Processing deliverable task
  Checking for existing task with OMG #: 5791330
  Creating new task 'PowerClean Corded Mass User Guide' (Job #5791330)
  ✓ Created task 'PowerClean Corded Mass User Guide': MAAAAABpz789

✓ Successfully processed 5791330.json
  → Moved to: Processed/5791330.json

================================================================================
Processing: 5791331.json
================================================================================

1. Processing folder: 'Air'
  Found existing folder 'Air': MQAAAABpz124

2. Processing project: 'Air Purifier 2025'
   Campaign Code: 1647477
  Found existing project 'Air Purifier 2025': MQAAAABpz457

3. Processing deliverable task
  Checking for existing task with OMG #: 5791331
  Found existing task: MAAAAABpz790
  ⊙ Task 'Air Purifier Hero Image' already exists (Job #5791331) - skipping

⊙ Successfully processed 5791331.json (task already exists)
  → Moved to: Processed/5791331.json

================================================================================
CLEANUP
================================================================================
  Deleted old file: 5791329.json
  Deleted old file: 5791328.json
Deleted 2 file(s) older than 24 hours from Processed folder

================================================================================
SUMMARY
================================================================================
Total files: 3
Successful: 3
Skipped (already exists): 1
Failed: 0
Moved to Processed: 3

Folders created/found: 2
Projects created/found: 3

How It Works

1. Folder Management

• Extracts the last segment from BusinessArea (e.g., "BISSELL > PRODUCT MARKETING > Dry Specialty" → "Dry Specialty")
• Checks if folder exists in the target space
• Creates folder if not found
• Caches folder IDs for performance

2. Project Management

• Searches for existing project by title in the folder
• Creates new project if not found
• Converts folder to project with start/end dates
• Adds campaign code as OMG # custom field
• Caches project IDs for performance

3. Task Management

• Checks for existing task by OMG # (job number)
• If found: Updates existing task with new data
• If not found: Creates new task
• Populates all custom fields and dates

4. Duplicate Handling

The script prevents duplicates using OMG numbers:

• Projects: Matched by title within folder
• Tasks: Matched by OMG # custom field (job number)

When processing the same JSON file twice:

• 1st run: Creates folder, project, and task
• 2nd run:
  • Finds existing folder and project (reuses them)
  • Finds existing task with same OMG # → Skips task creation
  • Marks file as "skipped" and moves to Processed folder

Important: Tasks are never updated once created. If a task with the same OMG # exists, it's left unchanged.

5. File Management

After successful processing:

• Moves file to Processed/ subfolder (auto-created)
• Failed files remain in the source directory for retry
• Cleanup: Deletes files older than 24 hours from Processed folder

Directory structure:

json_files/
├── 5791331.json          # Pending
├── 5791332.json          # Pending
└── Processed/
    ├── 5791330.json      # Processed today (kept)
    └── 5791329.json      # Processed >24h ago (deleted)

Troubleshooting

Common Issues

1. Authentication Error

Error making Wrike request: 401 Unauthorized

Solution: Verify your API token is correct and has write permissions.

2. Custom Field Not Found

Error: Custom field ID not found

Solution: Ensure all custom fields are created in Wrike and IDs are updated in the script.

3. No JSON Files Found

No JSON files found in '/path/to/directory'

Solution:

• Verify the directory path is correct
• Ensure files have .json extension
• Check file permissions

4. Invalid Space ID

Error: Space 'MQAAAABpz7l_' not found

Solution:

• Get your space ID from the API: GET /spaces
• Update STAGING_SPACE_ID in the script

Debug Mode

To see detailed API responses, modify the make_wrike_request function to print full responses:

def make_wrike_request(method, endpoint, data=None):
    # ... existing code ...
    print(f"Response: {response.json()}")  # Add this line
    return response.json()

API Rate Limits

Wrike API has rate limits:

• 100 requests per minute per token
• 1000 requests per hour per token

The script is optimized with caching to minimize API calls, but for very large batches (100+ files), you may need to:

1. Process in smaller batches
2. Add delays between requests

Data Mapping Reference

Date Format Conversion

Input: "2025-05-23 16:00:00+00" Output: "2025-05-23"

HTML Cleaning

Input: "<p>PowerClean FurFinder + FurGuard 2025-related workflows</p>" Output: "PowerClean FurFinder + FurGuard 2025-related workflows"

Business Area Parsing

Input: "BISSELL > PRODUCT MARKETING > Dry Specialty" Output: "Dry Specialty" (folder name)

Advanced Usage

Custom Field Mapping

To add more custom fields, update the script:

1. Add field ID to CUSTOM_FIELDS dictionary
2. Update create_or_update_deliverable_task() function:

# Add your custom field
custom_fields.append({
    "id": CUSTOM_FIELDS["your_field_name"],
    "value": job_details.get("YourJsonField", "")
})

Filter by Business Area

To process only specific business areas, add a filter in process_json_file():

folder_name = parse_business_area(business_area)

# Only process specific folders
if folder_name not in ["Dry Specialty", "Air"]:
    print(f"  Skipping folder '{folder_name}'")
    return False

Batch Processing Script

Create a wrapper script for automated processing:

#!/bin/bash
# process_all.sh

IMPORT_DIR="/path/to/json/files"

# Run import (automatically moves to Processed/ and cleans up old files)
python wrike_import.py "$IMPORT_DIR"

# Optional: Send notification
if [ $? -eq 0 ]; then
    echo "Wrike import completed successfully"
fi

Scheduled Processing with Cron

Set up automatic processing every hour:

# Edit crontab
crontab -e

# Add this line to run every hour
0 * * * * /usr/bin/python3 /path/to/wrike_import.py /path/to/json/files >> /var/log/wrike_import.log 2>&1

Change Cleanup Retention Period

To change the 24-hour retention to a different period, modify the cleanup call in the script:

# Delete files older than 48 hours instead
deleted_count = cleanup_old_files(json_dir, hours=48)

# Delete files older than 7 days
deleted_count = cleanup_old_files(json_dir, hours=168)

Security Notes

⚠️ Important Security Considerations:

1. Never commit API tokens to version control
2. Store tokens in environment variables:

   import os
   WRIKE_TOKEN = os.environ.get('WRIKE_API_TOKEN')
   

3. Use a .env file for local development (add to .gitignore)
4. Rotate tokens regularly
5. Use read-only tokens for testing

Support

Getting Help

1. Check the Wrike API Documentation
2. Review error messages in script output
3. Enable debug mode for detailed logging
4. Check Wrike API status at status.wrike.com

Reporting Issues

When reporting issues, include:

• Script version
• Python version (python --version)
• Full error message
• Sample JSON structure (redacted)
• Wrike space configuration

License

This script is provided as-is for internal use.

Which Tool Should I Use?

Use wrike_import.py if you want to:

• Import a batch of JSON files once
• Run manually when needed
• Test imports locally
• Simple command-line operation

Use wrike_monitor.py if you want to:

• Continuous 24/7 monitoring
• Automatic processing as files arrive
• Daily email reports
• Production deployment as a service
• Detailed statistics and monitoring

Changelog

Version 2.0 (Current)

• NEW: Added wrike_monitor.py - real-time monitoring service
• NEW: Folder watching with watchdog
• NEW: Daily email reports at 7PM
• NEW: Failed file handling with error logs
• NEW: Periodic scanning for missed files
• NEW: Statistics tracking and performance monitoring
• NEW: systemd service support
• FIXED: Sequential processing to prevent race conditions
• FIXED: Proper parent/child folder matching to avoid duplicates
• IMPROVED: Logging for skipped deliverables

Version 1.2

• Added automatic file movement to Processed subfolder
• Implemented auto-cleanup of files older than 24 hours
• Improved file management and organization
• Enhanced output with file movement tracking

Version 1.1

• Added duplicate detection via OMG numbers
• Separated project and task OMG numbers
• Improved error handling
• Added caching for performance
• Enhanced logging output

Version 1.0

• Initial release
• Basic folder/project/task creation
• Custom field mapping

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Last Updated: October 2025 Author: Dave Porter Repository: https://bitbucket.org/zlalani/bissell-wrike-python