What Data for This Category Looks Like
Sources of infrastructure engineering research reports and associated data include official project filing and public notices from housing and urban-rural development authorities, bidding announcements for the transportation and water conservancy industries, securities firm research reports on the construction industry, and specialized engineering consulting reports. Official public documents mostly use structured formats, containing fields such as project number, investment amount (unit: ten thousand yuan), construction period, construction unit, and location. These documents are updated in real time as projects progress. Securities firm research reports use long-form text formats, with wide variation in word count per document. Confirmation should be based on internal sample statistics or actual testing before setting parameters. These reports include project overviews, investment calculations, progress milestones, and risk warnings, and are released on a quarterly and monthly basis. Specialized engineering consulting reports are updated as needed, with structures containing detailed construction plans and cost breakdowns.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Structured official public documents contain fixed fields. Workflows must support mixed processing of structured data extraction and unstructured text parsing. Corresponding parsing rules must be configured to adapt to different formats of tables and text. Long-form research reports have large per-document length. Single-segment split length must be limited to avoid exceeding model context windows. A reasonable recall sharding strategy must also be set. Update frequencies vary significantly across different data sources. Differentiated trigger rules must be configured for each data source. Official project data supports real-time triggering. Securities firm research reports are adapted for scheduled scheduling. Fields have fixed associated units. Unit association logic must be retained in workflows to avoid unit conversion errors during cross-interface calls. Project number, as a unique identifier, must act as a core variable across all workflow links to ensure accurate retrieval and positioning.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_SEGMENT_LENGTH | 800–1200 characters | Infrastructure engineering research reports contain many technical details and data descriptions per segment. This length ensures complete single-segment semantics and adapts to most model context windows |
SIMILARITY_THRESHOLD | 0.75–0.85 | Infrastructure engineering data is highly professional. A higher threshold avoids irrelevant projects being included and ensures retrieval results match query intent |
RECALL_TOP_K | Top 8 entries | Infrastructure engineering research reports cover multi-dimensional information including project overview, investment, progress and more. 8 entries can cover core retrieval needs |
WORKFLOW_TRIGGER_TYPE | Mixed trigger | Official project data requires real-time response to queries, while securities firm research reports can trigger retrieval after weekly scheduled updates, adapting to update rhythms of different data sources |
EXCEL_PARSE_COLUMN_MAPPING | Auto-match by header | Excel table headers from official infrastructure project public notices have fixed formats. Auto-matching reduces manual configuration workload |
EXTERNAL_API_TIMEOUT | 600 seconds | Multi-source data retrieval for infrastructure engineering may involve cross-database queries. 600 seconds ensures full acquisition of all associated data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on internal samples before finalizing values.
Three Common Misconfigurations
- Empty fields are returned after uploading an Excel file. This occurs because matching rules for
EXCEL_PARSE_COLUMN_MAPPINGare not configured, or header formats do not match preset mappings, causing the parsing engine to fail identifying valid columns. - Dynamic token values cannot be passed when calling external interfaces. This occurs because tokens are not configured as workflow global variables or node input parameters, and are not bound to corresponding variables in external interface call nodes, resulting in fixed or empty values being used for each call.
- Workflows run normally during local debugging but only execute the first conversation node after deployment. This occurs because global context transfer rules for the workflow are not configured, or variable transfer links between nodes are interrupted, causing subsequent nodes to fail obtaining output results from previous nodes.
How to Confirm Proper Configuration
- Upload an official infrastructure project Excel public notice file, run the parsing node, verify whether extracted fields include preset core fields, and adjust corresponding configurations until correct matching is achieved.
- Configure dynamic variables such as tokens, bind the variable in the external interface call node, initiate a test call, and check whether the interface return result includes data associated with the expected dynamic parameters.
- Trigger workflows for real-time data sources and scheduled data sources separately, check whether retrieval results from different sources conform to update rhythms and content requirements, and adjust configuration details of trigger rules.
- Deploy the workflow and initiate multi-round conversations via an external platform, check whether output from each node is transferred along the link, and confirm normal context transfer.
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.