What This Category of Data Looks Like
Core sources of railway and highway yield rate data include official transportation monitoring platforms, internal data interfaces of railway operating enterprises, and highway network toll systems. Data is generated daily for the previous day’s operation report, and typically released before 6:00 AM the next day. The data uses a structured format. Each record corresponds to one independent operating line. It includes three types of fields: basic identification fields, statistical dimension fields, and revenue-related indicator fields. Unified field units are as follows: operating mileage uses kilometers, revenue uses Chinese Yuan, passenger volume uses passenger trips, freight volume uses tons, and revenue per unit mileage uses Yuan per kilometer. Statistical dimensions include line type, affiliated region, and statistical date. Revenue indicators cover current period revenue, revenue per unit operating mileage, revenue-cost difference, and other related metrics.
Constraints Imposed on HTTP Interfaces and External Systems
The diversity of data sources requires interfaces to support multi-format adaptation. They must be compatible with different formats returned by official data sources, including JSON and CSV. The daily update rhythm requires synchronization tasks to use a fixed daily trigger time. This avoids frequent calls that trigger data source rate limiting. The specialized field system requires interface-returned field names to strictly follow preset rules. Failure to do so will prevent correct parsing of revenue-related indicators. The large single-batch data volume requires interfaces to support pagination queries. Timeout configurations must also be adjusted to accommodate the duration of full data pulling. Most official data sources use API keys or OAuth for authentication. Authentication information configured for the interface must align with official requirements.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_FREQUENCY | 86400 seconds | Matches the daily update rhythm of railway and highway daily reports, avoids frequent calls that trigger data source rate limiting |
REQUEST_TIMEOUT | 300 seconds | Accommodates the pulling duration of multi-line data in a single batch, prevents request interruption due to excessive data volume |
FIELD_MAPPING_STRATEGY | Strictly match official field names | Railway and highway data includes specialized operational indicators. Mismatched field names will cause failure to parse revenue-related parameters |
PAGINATION_SWITCH | Enabled | Single interface returns large data volumes. Pagination reduces the load pressure of a single request |
AUTHENTICATION_TYPE | API_KEY | Most official transportation data sources use API key authentication, which meets general access requirements |
The parameter values provided on this page are all common recommended 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 test on your own samples before finalizing values.
Three Common Configuration Errors
- An external interface call returns a
429 Too Many Requestserror, and synchronization logs show multiple requests triggered in a short period. Cause: The synchronization frequency was not set according to the data source's update rhythm. A synchronization interval shorter than 24 hours was used, leading to frequent requests that trigger rate limiting. - After configuring a custom data source, the call returns a
401 Unauthorizederror, and valid data cannot be obtained. Cause: The authentication key provided by the official data source was not filled correctly, or the format of the authentication parameter does not meet official requirements. - After parsing pulled data, revenue-related fields are empty or have abnormal values. Cause: Strict field mapping rules were not used. Non-official fields were incorrectly mapped to revenue indicators, leading to failure to obtain correct revenue data.
How to Confirm Successful Configuration
- Review external data source synchronization logs. Confirm that the pull task is triggered at a fixed daily time, and that the status code for single requests is
200 OK. - Manually trigger a data pull task. Check that parsed fields include preset revenue-related indicators, and that values fall within the range of logical business values.
- Verify authentication parameter configuration content. Confirm that it fully matches authentication information published by the official data source, to avoid authentication failures.
- Review the number of pulled operating lines. Confirm that it matches the total number of operating lines published by the official data source for the day, with no obvious missing or redundant entries.
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.