What the data for this category looks like
Building construction investment research data mainly comes from publicly available quota documents from housing and urban-rural development departments, bidding and tendering announcement platforms, project logs and completion acceptance reports archived by construction units, and quotation ledgers from building material suppliers. Update cycles vary significantly: building material quotations are updated with market fluctuations, engineering quotas are revised periodically, and bidding project information is released in real time. Individual documents are mostly structured tables or long text reports, containing fields such as project number, floor area, building material model, construction period, cost details, and others. Units include square meters, cubic meters, yuan/ton, working days, and others.
Constraints imposed on deployment and upgrade by these characteristics
The multi-source nature, inconsistent update cycles, mixed formats, and multiple units of building construction investment research data impose multiple constraints on the deployment and upgrade process. Multi-source data access requires adapting to different authentication methods for public documents and real-time interfaces. Routing rules for multi-source synchronization must be configured in advance during the deployment phase. Inconsistent update cycles require incremental pull logic to support setting different synchronization cycles based on data type. Upgrades must be compatible with old synchronization configurations to avoid data gaps. Mixed structured and unstructured documents require preset parsing parameters adapted to both formats, to prevent long text truncation or incomplete extraction of table fields. Multi-unit fields require additional normalization rules to ensure unit consistency for subsequent retrieval.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Individual building construction documents have relatively long length, containing extensive quota descriptions and cost details, requiring sufficient time to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some single files such as completion reports and quota collections have large volume, requiring adaptation to large file upload requirements |
PARSE_CHUNK_SIZE | 1500-2000 characters | Building construction documents contain continuous professional content; segment length matches content density to avoid context breaks or information truncation |
SIMILARITY_THRESHOLD | 0.75-0.85 | There are many professional terms in building construction; a higher threshold filters irrelevant general construction documents and ensures the relevance of recalled content |
RECALL_TOP_K | Top 8-12 entries | Investment research needs to cover multi-dimensional information such as cost, construction period, and quotas; appropriately increasing the number of recalled entries ensures information completeness |
UNIT_NORMALIZATION_ENABLE | Enabled | Building construction data includes multiple types of units such as square meters, cubic meters, yuan/ton, etc.; unifying formats avoids unit mismatch issues during retrieval |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- A pull failure error occurs when executing the
docker pullcommand, returning themanifest unknownstatus code. The cause is failure to specify the correct version suffix. For building construction scenarios, use thev4.8.15-fix2version image adapted for large file parsing; using the generic version tag results in a failed match. - After configuring a login-free sharing link, a 403 status code appears when accessing, or the page fails to load. The cause is failure to configure cross-domain permissions for the corresponding node. Most bidding data for building construction projects is public, so cross-domain whitelists must be additionally configured for sharing scenarios.
- Parsing fails after uploading a long document, and the backend log displays
parse timeout. The cause is failure to adjust thePARSE_FILE_TIMEOUT_SECONDSparameter; the default timeout period is too short to complete full parsing of long documents.
How to confirm configuration is valid
- Upload a typical building construction completion report, check whether the parsed text contains complete cost details and project parameters, and confirm that the segment and timeout configurations are effective.
- Configure an incremental synchronization task, check whether the pull times of different data sources in the synchronization log conform to the preset cycles, and confirm that the incremental synchronization rules are effective.
- Initiate a search for professional terms, check whether the units of the returned results are unified, and confirm that the unit normalization configuration is effective.
- Generate a login-free sharing link, access it in the corresponding network environment, confirm that the page loads normally, and confirm that the sharing and cross-domain configurations are effective.
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.