Data Profile for This Category
Marketing-related data for tourism scenic spots comes primarily from internal ticketing systems, tour guidance management systems, visitor feedback platforms, and official promotional materials. The data update rhythm fluctuates with passenger flow: 1 to 2 updates per week for announcements and route information during regular periods, and daily updates for event, traffic restriction, and ticketing information during peak holiday seasons.
Document types include plain text event plans, structured ticketing spreadsheets, high-definition tour images, and event posters. Core fields include scenic spot ID, attraction name, opening hours, ticket price, instantaneous maximum capacity, and event start and end times. Corresponding units/formats are numeric identifiers, Chinese character names, hours/days, yuan, person-times, and dates.
Constraints for Deployment and Upgrade
Multiple data sources require configuring cross-system data connection adapters during deployment to handle format differences across systems. Fluctuating update rhythms require supporting dynamic adjustment of synchronization cycles during upgrade to meet high-frequency synchronization needs during peak seasons.
Diverse document structures require pre-configuring multimodal parsing rules during deployment to cover text, spreadsheet, image, and other formats. Fields with high real-time requirements, such as instantaneous maximum capacity, require adding an incremental caching mechanism during upgrade to avoid synchronization delays that affect marketing content accuracy.
Additionally, scenic spot marketing content often includes compliance-related information. Configure data desensitization and audit verification links during deployment to ensure published content complies with cultural and tourism regulatory requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Scenic spot documents often include long graphic tour guides and complex ticketing spreadsheets, which require longer parsing time |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Scenic spots need to upload large files such as high-definition tour images and event promotional videos |
maxContext | 8000–12000 characters | Scenic spot marketing content often includes long-text event plans and detailed route descriptions |
RECALL_TOP_N | Top 6 entries | Most scenic spot user queries focus on a single attraction or event, and a small number of recalls can cover core needs |
SIMILARITY_THRESHOLD | 0.75–0.85 | Terminology related to scenic spots has similar meanings, so reasonable filtering of low-relevance redundant results is required |
SYNC_INTERVAL | 15 minutes (regular periods) / 5 minutes (holiday peak periods) | Scenic spot data update frequency fluctuates with passenger flow, so synchronization cycles need dynamic adjustment |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to run tests on available samples before finalizing settings.
Three Common Misconfigurations
- Issue:
docker pulltimeout errors occur during deployment, or containers start with a status ofExited (1). Cause: Server security group has not been configured to open specified ports, or network bandwidth is insufficient during image pulling. - Issue: After uploading a scenic spot tour guide PDF, the parsing result is empty or a
parse_failedstatus code appears. Cause: The multimodal parsing switch has not been enabled, or the file uses an unsupported encrypted format. - Issue: Null values appear in the
capacity person-timesfield when importing scenic spot ticketing Excel files. Cause: The Excel cell format is set to text, or the field name does not match the preset mapping in the knowledge base.
How to Confirm Configuration Is Complete
- Run a local test synchronization task, verify that the number of synchronized data entries matches the source system, and check that the value of each field matches the source data.
- Upload different types of scenic spot documents, check that the parsed structured content is complete, and confirm that the multimodal parsing switch is enabled as configured.
- Initiate a simulated user query, verify that the number of recalled content entries matches the
RECALL_TOP_Nsetting, and check that similarity filtering meets expectations. - Adjust the
SYNC_INTERVALparameter, view the scheduled task execution logs, and confirm that tasks trigger according to the set cycle.
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.