What this category of data looks like
Data related to commercial real estate yield rates is primarily sourced from rental ledgers of owned properties, business district passenger flow monitoring systems, and property operation and maintenance reports. Most data is updated monthly. Reports related to annual rent adjustments are updated quarterly. Common file formats include PDF rental reconciliation forms and business district business format analysis reports. Common fields include project name, business format proportion, per-shop rent, vacancy rate, annualized yield rate, and property operation costs. Per-shop rent is measured in yuan per square meter per day. Yield rates and vacancy rates use percentage units. Operation costs are measured in ten thousand yuan.
What constraints these characteristics impose on workflow orchestration
The non-standard PDF formats, mixed unit fields, and monthly update rhythm create multiple constraints for workflow orchestration. First, rental ledgers from different projects have widely varying layouts. General document parsing nodes cannot accurately extract target fields. This requires configuring custom field extraction rules. Second, data is updated monthly. Workflows must be bound to scheduled trigger nodes to automatically execute tasks on a natural monthly cycle. Third, field units include multiple types such as yuan per square meter per day, percentage, and ten thousand yuan. A unit standardization conversion step must be added to the workflow to unify measurement standards. Fourth, some business district analysis reports have long lengths. Long document segmentation parsing and content aggregation nodes must be configured to avoid truncation or omission of key information.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Commercial real estate PDF reports are typically long. Standard parsing durations are insufficient to cover full content |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some business district analysis reports contain large numbers of charts and raw data. Single-file size may exceed general thresholds |
custom_extract_fields | Configure custom extraction rules for project name, per-shop rent, vacancy rate, annualized yield rate, and operation costs | Commercial real estate data fields are non-standard. General parsing cannot match all target fields |
schedule_trigger_cron | 0 0 2 1 * * | Commercial real estate rent data is typically updated at the start of each month. Scheduled tasks must execute after data is produced |
chunk_size | 1000–1200 characters | Long document segmentation parsing must balance semantic completeness and subsequent aggregation efficiency |
parallel_process_count | 3 parallel tasks | When batch processing multi-project PDFs, excessive parallelism will consume too many resources. 3 parallel tasks balances efficiency and stability |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Scenario: After batch uploading multiple commercial real estate PDF files, some files show parsing failure, and file size limit exceeded prompts appear in logs. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted. Some reports with large numbers of charts exceed the default threshold file size. - Scenario: After workflow execution, the returned yield rate data fields are empty, and no target content is extracted. Cause: No
custom_extract_fieldscustom extraction rules were configured. General parsing nodes cannot recognize non-standard commercial real estate ledger fields. - Scenario: After the workflow executes an SQL query successfully, the returned results cannot be synchronized to the chat window. Cause: No "chat output" node was added to the workflow. Only the data extraction step was completed, and the chat display link was not connected.
How to confirm proper configuration
- Upload a single large commercial real estate PDF report, check if the parsing status is normal. Confirm that the
UPLOAD_FILE_MAX_SIZEparameter configuration covers the commonly used file sizes. - Manually trigger the workflow once, verify that the extracted fields include target content such as project name, per-shop rent, and annualized yield rate. Confirm that the
custom_extract_fieldsrules are configured correctly. - Set a test scheduled trigger time, verify that the workflow automatically executes at the expected time. Confirm that the
schedule_trigger_cronexpression matches the business update rhythm. - Upload multiple commercial real estate PDF files, check if all files have completed parsing and data aggregation. Confirm that the loop node and parallel processing parameter configurations are reasonable.
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.