Deployment and Upgrade for Paint and Ink Financing Daily Reports

Data for paint and ink financing daily reports comes from three primary sources: daily industrial chain financing monitoring released by industry

What the data for this category looks like

Data for paint and ink financing daily reports comes from three primary sources: daily industrial chain financing monitoring released by industry associations, financing announcements for listed companies on national equity trading markets, and manufacturing financing dynamics published by local financial regulatory authorities. Data is updated daily. Each daily report includes 1 to 10 financing records. Each record has fixed fields: full name of the financing subject, financing date (YYYY-MM-DD), financing amount (unit: ten thousand RMB), financing method, associated paint and ink sub-category, and fund usage. Some data sources provide PDF-format official public documents that include stamped summaries of financing agreements.

Constraints during deployment and upgrade

Daily updated data sources require fixed-frequency synchronization tasks to be configured during deployment, and compatibility with new data source interface formats during upgrades. Differences in document formats across multiple sources require adjustments to file parsing timeout and segmentation rules. Inconsistent financing amount units across data sources require configuring field normalization rules to avoid numerical deviations during subsequent retrieval. Multi-value fields for associated sub-categories require adjusting knowledge base recall logic to ensure multi-label content is correctly matched. Some encrypted official public documents require configuring additional parsing whitelists to support imports of encrypted-format data sources.

How to configure

Configuration ItemRecommended ValueRationale
SYNC_CRON_EXPR0 8 * * *Aligns with the daily morning update cadence of financing daily reports, ensuring same-day data is synchronized before work hours
PARSE_FILE_TIMEOUT_SECONDS600 secondsSome encrypted PDF and Excel attachments take longer to parse, preventing premature timeouts that cause data source import failures
maxContext800–1200 charactersThe text length of a single financing record ranges from 500 to 1000 characters, so this range retains all key field information completely
SIMILARITY_THRESHOLD0.72–0.78Distinguishes associated tags for paint and ink sub-categories, filtering out financing records from unrelated industries
RECALL_TOP_NTop 6 entriesEach daily report contains 3 to 5 financing records, so this value covers all same-day financing information completely
UPLOAD_FILE_MAX_SIZE1000 MBSupports batch import of annual financing summary documents from industry associations

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on one's own samples before finalizing settings.

Three common mistakes

  • Phenomenon: Frequent Request Timeout errors appear during conversations, with a 504 status code. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted for the large volume of daily financing documents, causing partial large files to time out during knowledge base synchronization, preventing subsequent recall from reading complete context.
  • Phenomenon: Financing records from non-paint and ink categories appear in recall results, with empty associated category fields. Cause: The SIMILARITY_THRESHOLD was set too low, failing to filter financing data from unrelated industries, and no mandatory matching rule was configured for associated category fields.
  • Phenomenon: Ollama models cannot be called in a local deployment environment, or FastGPT 4.9.0 cannot connect to models via one-api. Cause: OLLAMA_API_BASE or related proxy parameters were not configured correctly, and local port access permissions were not opened, causing the model call link to break.

How to confirm configuration is complete

  • Navigate to the FastGPT knowledge base management page, view the synchronization task run logs, confirm that same-day financing daily report documents have been parsed without timeout errors, and verify that the synchronization execution time matches the SYNC_CRON_EXPR setting.
  • Submit a test query, enter a preset industry-related search term, check that the number of recall results matches the RECALL_TOP_N setting, and that each record contains complete associated category fields.
  • Test the locally deployed Ollama connection by calling the model, enter a standardized test prompt, confirm that the model returns responses normally, and check that the OLLAMA_API_BASE configuration matches the local service address.
  • Import an encrypted-format financing daily report document, confirm that the parsed fields are complete and not missing, and verify that the UPLOAD_FILE_MAX_SIZE configuration meets the document import requirements.

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.