What the data for this use case looks like
Data related to marketing for this use case comes from internal core business systems, local agricultural service platforms, and an existing marketing material library. Internal data includes customer credit, deposit, and account opening information. Local platforms provide agricultural updates and policy announcements. The material library includes rich-text posters, SMS scripts, and live speech drafts.
Customer data is updated daily. Policy announcements are adjusted quarterly or for urgent changes. Marketing materials are updated as needed. Document types include structured customer list Excel files up to 15,000 rows per file, long-text training documents up to 100,000 Chinese characters per file, and compliance PDF announcements. Fields include customer ID, business type, deposit balance, credit limit, home township, and other agriculture-related details.
What constraints these characteristics impose on workflow orchestration
The batch nature of internal customer data requires workflows to support batch data processing to avoid single-node memory overflow. Long text and large file materials require workflows to be configured with segmented parsing and batch upload parameters to adapt to single-file capacity limits. The need to bind local policy and customer data requires workflows to support scheduled pulling of external data sources and field mapping. Financial compliance requirements require workflows to integrate sensitive word filtering and data desensitization nodes to ensure marketing content and customer data meet regulatory standards. The T+1 update cadence of customer data requires workflow trigger frequencies to match the update cycle to avoid reprocessing old data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1024 MB | Adapts to the upload requirements of 15,000-row Excel and 100,000-character Word documents for this use case, preventing large file upload failures |
BATCH_EXECUTE_ROWS | 2000–3000 | Matches the memory usage of single-batch processing for customer lists in this use case, preventing workflow node timeouts |
WORKFLOW_TRIGGER_CRON | 0 0 2 * * * | Aligns with the T+1 update cadence of customer data, triggers full customer data synchronization and marketing material generation daily at 2 AM |
MAX_CONTEXT_LENGTH | 8000–12000 characters | Adapts to the single-segment length after long document splitting, and matches the context window limits of mainstream models |
SENSITIVE_FILTER_ENABLE | Enabled | Meets financial compliance requirements for marketing content in this use case, filtering prohibited expressions and sensitive information |
DATA_MASKING_RULE | Hide the last four digits of customer phone numbers, specific street numbers of business addresses | Complies with personal information protection regulations, preventing customer data leakage |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Workflow fails to trigger after deployment, with an environment variable missing prompt in the interface. Cause: Corresponding workflow configuration environment variables were not added to docker-compose.yml, causing the container to fail to load necessary parameters on startup.
- Symptom: Database node in the workflow throws a
connect ETIMEDOUTerror, while the database can be connected normally locally. Cause: The workflow container was not configured with the same network access rules as the local database, preventing connectivity to the database service from inside the container. - Symptom: After uploading a 15,000-row Excel file, the workflow only processes part of the data. Cause: The
BATCH_EXECUTE_ROWSparameter was not adjusted, and the single-batch processing row count exceeded the default limit, resulting in data truncation.
How to Verify Proper Configuration
- Log in to the workflow management interface, check if the configured
WORKFLOW_TRIGGER_CRONparameter matches the business update cadence, and manually trigger a test execution. - Upload a 15,000-row Excel document and a 100,000-character Word document, verify that the parsing node returns normally processable segmented content.
- Configure a database connection node, run a connection test using test data to confirm no timeout errors occur.
- Enable the sensitive word filtering switch, input test text containing prohibited expressions, verify that the filtering node properly intercepts the content.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.