What Data Looks Like for This Category
Data for smart due diligence reports of tourist attractions primarily comes from cultural and tourism regulatory authority filing archives, official annual operation reports of attractions, real-time passenger flow monitoring systems, third-party compliance inspection records, and public opinion data. Data update rhythm falls into three categories: qualification-related information is updated quarterly, passenger flow and revenue data is updated daily, and public opinion data is updated in real time. Document structures are mostly a mix of structured reports and semi-structured text. Core fields include attraction rating, floor area (square meters), annual passenger receipts, compliance rectification records, associated cultural tourism project contract numbers, and more. Some operation data must be pulled via official authorized APIs of the attractions.
What Constraints Do These Characteristics Impose on Workflow Orchestration
The multi-source nature, varied update frequencies, and mixed document structure of tourist attraction due diligence data create multiple constraints for workflow orchestration. Trigger qualification data pulls quarterly. Schedule passenger flow and revenue data updates daily. Set minute-level polling for public opinion data. Fixed-cycle triggering cannot be used universally. Parse structured reports with dedicated nodes to extract standardized fields. Process semi-structured compliance records with general document parsing tools, then complete field mapping. Pull some attraction data via authorized APIs, so add key verification and permission verification steps to prevent unauthorized access. Contract numbers and rectification record formats vary across attractions, so add a pre-step for field standardization.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Due diligence reports for tourist attractions contain multiple structured reports and semi-structured compliance text, leading to long parsing times. Reserve sufficient timeout duration |
LOOP_ARRAY_INPUT | Trigger via attraction ID array | Process independent due diligence data for different attractions in a loop. Array elements are unique attraction identification IDs, to adapt to batch due diligence scenarios |
SEARCH_CONTEXT_BIND | Enabled, bind current due diligence context | Use existing attraction qualification data to supplement compliance information searches during due diligence, to prevent context loss |
MAX_RETRIES | 2–3 times | Attraction API pulls may fail due to network fluctuations. Set a reasonable number of retries to prevent task interruption |
FUNCTION_CALL_ENABLE | Configured based on model compatibility. Open source version V4.8.21 and above support disabling the thought output toggle | Some models natively support function call. Adjust configuration based on model characteristics to avoid redundant thought content in due diligence reports |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single files such as attraction annual operation reports and filing archives have large sizes. Support large file uploads |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended that tests be conducted on local samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: After inputting an array into the loop node, the loop body does not correctly process each element, and the output result only includes the processing result of the first array element. Cause: The output of the loop body is not bound to the context variable of the array element, leading to reuse of the initial input parameter.
- Phenomenon: After saving the workflow, it cannot be exported as a local configuration file. An error prompt "Insufficient export permissions" pops up when attempting to export. Cause: The global export permission switch for the workflow is not enabled, or the current account does not have export permissions for the corresponding project.
- Phenomenon: After enabling the search node, search results do not combine the current attraction's due diligence context, and irrelevant industry-general information appears. Cause: The search node is not configured to bind the context variable of the current workflow, causing searches to only use the global preset prompt.
How to Confirm Correct Configuration
- Manually trigger the due diligence workflow for a single attraction, and check if the input and output fields of each node match the preset core data fields of the attraction.
- Enable the node log viewing function, and verify that the loop node generates execution records corresponding to the number of array elements.
- After calling the model node, verify that the output content includes model call markers and contains no redundant thought process text.
- Attempt to export the workflow configuration file, and confirm that the export operation completes normally and the file format meets expectations.
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.