What this type of data looks like
Real estate construction financial report data primarily comes from monthly cost ledgers of project contractors, progress payment settlement documents issued by clients, project financial archives filed by housing and urban-rural development authorities, and quarterly financial reports for real estate construction business segments disclosed by listed construction enterprises. Data updates follow a monthly rhythm, with some annual summary reports updated quarterly. Most documents are structured tables or detailed PDFs, containing fields such as sub-project costs, labor costs, material procurement amounts, machinery usage fees, and taxes. Units are primarily yuan, ten thousand yuan, and square meters. Some detailed fields mark cost values corresponding to construction nodes.
What constraints do these characteristics impose on workflow orchestration
Data sources for real estate construction financial reports are scattered, including ledgers, settlement documents, archived files, and more. Workflows must support connecting multiple data source nodes and uniformly processing different input formats. The monthly update rhythm requires configuring scheduled trigger rules to run on fixed cycles. Documents include both structured tables and unstructured PDFs, so both structured data extraction nodes and PDF parsing nodes must be configured. There are numerous detailed fields, and field naming varies across sources. This requires configuring a field mapping step to align fields across different sources. Some data has unit discrepancies, so a unit conversion node must be configured to unify measurement standards.
How to set configurations
Config Item | Recommended Value | Rationale | |
|---|---|---|---|
Scheduled Task Interval | Once per month, fixed execution on the 5th of each month | Matches the monthly release rhythm of real estate construction financial reports, ensuring data acquisition timeliness | |
Database Connection Timeout | 600 seconds | Real estate construction financial report data mostly originates from large ledgers or summary databases; the timeout value must adapt to reading processes for large-volume data | |
JSONPath Extraction Rule | `$..[?(@.subProjectName =~ /Civil Engineering | Installation/)]` | Targets the sub-project fields in real estate construction financial reports, selectively extracting specified types of cost data to reduce interference from irrelevant information |
PDF Parsing Segment Length | 800–1200 characters | Real estate construction financial report PDFs often contain long detailed tables; this segment length adapts to long-text parsing and field extraction | |
Field Mapping Matching Mode | Match by Chinese field names | Field naming for real estate construction financial reports varies widely across sources; matching by Chinese field names makes cross-source field alignment easier | |
Variable Transfer Switch | Enabled | Extracted sub-project cost data must be passed to downstream summary calculation nodes, aligning with the complete workflow logic of financial report analysis |
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. Analyze specific cases individually, and test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After configuring an HTTP request node, there is no entry for JSONPath extraction variables in the interface, making it impossible to pass response content to downstream nodes. Cause: The advanced variable configuration switch for the workflow is not enabled, or the extraction mode is not selected in the response processing step.
- Phenomenon: When attempting to export workflow configurations, the system prompts that corresponding permissions are missing or the function is not available. Cause: The workflow package with corresponding permissions is not bound, or the workflow export function is not enabled in project settings.
- Phenomenon: When configuring an MSSQL database connection node, the error
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000is thrown. Cause: The database address is configured incorrectly, or a local firewall blocks access to port 1433, preventing connection establishment.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check the running logs of each node, and confirm that the data source node successfully read the corresponding fields of real estate construction financial reports.
- Check the preview results of the JSONPath extraction node, and confirm that the extracted sub-project cost data matches the source data.
- View the output results of the field mapping node, and confirm that fields from different sources have been aligned.
- Verify the variable transfer step, and confirm that the downstream node successfully received the cost variables extracted from the upstream node.
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.