What the data for this category looks like
Data sources for publishing financing daily reports primarily include public announcements from listed companies, public disclosure information from the National Equities Exchange and Quotations, publicly released content from industry regulatory platforms and authoritative industry media. The update rhythm follows a T+1 daily schedule for financing projects disclosed the previous day. Emergency financing projects can be updated on the same day. The document structure uses structured entries. Each individual data entry includes fields such as financing entity name, financing amount, financing round, investor, disclosure date, announcement source link, and associated publishing track. Financing amount is usually denominated in ten thousand yuan. Bulk exported daily report files are mostly in CSV or Excel format, with dozens of financing records per file. The character count of each individual entry does not exceed 200.
What constraints these characteristics impose on deployment and upgrade
High-frequency daily updates require configuring stable scheduled pull tasks and retry mechanisms during deployment, to avoid data loss caused by temporary fluctuations in data sources. Structured multi-field data requires precise configuration of vector database field mapping rules during deployment, to ensure core information can be correctly retrieved and parsed. Multi-source heterogeneous data sources require configuring flexible authentication and adaptation parameters, to adapt to access restrictions of different regulatory platforms. Bulk data import scenarios require adjusting file parsing and concurrent processing configurations, to avoid excessive server load. During the upgrade process, verify the incremental data pull and parsing logic, to prevent data loss or format errors after updates.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Bulk parsed files for publishing financing daily reports usually contain dozens of structured records. 300 seconds covers the complete parsing process, avoiding task interruption caused by single parsing timeout |
CRON_SCHEDULE | 0 1 * * * | Industry financing announcements are mostly disclosed after the previous day's market close. Scheduling a pull at 1 AM daily retrieves the latest same-day financing data, matching the daily report update rhythm |
UPLOAD_FILE_MAX_SIZE | 50 MB | Bulk exported Excel files for publishing financing daily reports are usually no larger than 20 MB per file. This value reserves sufficient space for temporary expanded bulk data imports |
RETRY_MAX_ATTEMPTS | 3 attempts | Some regulatory data sources have temporary access fluctuations. 3 retries reduces the probability of pull failures, while avoiding excessive occupation of server resources |
VECTOR_DB_FIELD_MAPPING | {"Financing Entity":"entity","Financing Amount":"amount","Disclosure Date":"date"} | Core fields of publishing financing daily reports must be accurately mapped to the vector database, to ensure the accuracy of subsequent semantic retrieval and question answering |
DOCKER_PLATFORM | linux/arm64 | Adapts to Galaxy Kirin ARM architecture servers, meeting the hardware environment requirements for private deployment |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is that after upgrading to version v4.14.0, an error
Failed to create post presigned urlis prompted when uploading financing daily report files. The cause is that the object storage signature key and cross-origin rules are not reconfigured after the upgrade, causing FastGPT to fail to generate valid upload pre-signed links. - The symptom is that after migrating to a new server, the original scheduled pull task for financing daily reports cannot execute normally. The cause is that the configuration file of the scheduled task is not migrated synchronously, or the access permission of the data source is not re-bound, causing the new environment to fail to pull financing data sources from the historical configuration.
- The symptom is that some financing amount fields in the imported financing daily report data display as empty. The cause is that
VECTOR_DB_FIELD_MAPPINGis not configured correctly, and non-standard amount text with unit suffixes is directly mapped to the vector database, causing parsing failure.
How to confirm the configuration is correct
- Manually upload a test publishing financing daily report file, check whether the interface upload status and parsed fields match the configured
VECTOR_DB_FIELD_MAPPING. - Manually trigger a scheduled pull task, view the pull log to confirm that the data source connection is normal and data pull is successful.
- Verify the object storage pre-signed link generation function, confirm that upload requests can be initiated normally.
- Check the server's scheduled task scheduling log, confirm that the daily pull task executes on time according to the configured
CRON_SCHEDULE.
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.