Bid Documentation and Quotation Preparation for Incoming Material Inspection and Supplier Quality: Deployment and Upgrade

Data for this category comes from purchase orders, drawing specifications, supplier quality certificates, inspection equipment outputs, historical

What this category of data looks like

Data for this category comes from purchase orders, drawing specifications, supplier quality certificates, inspection equipment outputs, historical quality records, and supplier portals. Data updates follow the rhythm of per-batch incoming material processing, monthly/quarterly supplier evaluations, and irregular audits. Daily documents include inspection specifications, sampling plans, incoming material reports, supplier audit reports, exception contact sheets, 8D reports, and concession acceptance approval forms. Core fields include incoming material batch numbers, supplier codes, inspection item parameters, non-conforming material quantities, and rectification completion durations. Data formats cover structured forms, semi-structured reports, and equipment export files.

What constraints do these characteristics impose during deployment and upgrade

Data sources are scattered and involve cross-system integration. Implement compatible configuration for multi-source data access during deployment to avoid supporting only a single database or storage format. High-frequency updated incoming material batch data requires a near-real-time synchronization mechanism during deployment; full offline synchronization cannot be relied upon. Diverse document types require parsing rules adapted to different formats to ensure effective indexing of all types of quality documents. Additionally, quality data involves production risk control. Use a gray release strategy during upgrades to avoid data anomalies caused by full-scale changes that impact production supply assurance.

How to set configurations

Configuration ItemRecommended SettingRationale
DB_MAX_LINK20–30 connectionsMultiple records are generated per batch of incoming inspection data. Sufficient connections are required to ensure response efficiency in high-concurrency synchronization scenarios
MONGODB_URI1 dedicated database instanceSupplier quality data contains sensitive compliance information, so independent storage is needed to achieve data isolation
REDIS_URL600-second cache expiration durationIncoming material batch data requires short-term caching for quick association with batch information for bid quotations, avoiding repeated database queries
STORAGE_S3_ENDPOINTConfigured according to the enterprise's own object storage nodeLarge files such as inspection reports and 8D reports require stable storage that complies with enterprise data compliance requirements
FILE_TOKEN_KEY32-byte keyParsing quality documents of different formats requires matching corresponding token permissions to prevent unauthorized access to sensitive documents
FE_DOMAINEnterprise internal quality inspection portal domain nameBid documentation needs to link to quality data from internal systems, and a unified domain name enables normal cross-domain interface calls

These configuration items are compatible with FastGPT v4.17.0.

Three common mistakes

  • Symptom: Request timeout errors occur when calling supplier quality data. Cause: The DB_MAX_LINK configuration was not adjusted for high-frequency incoming material synchronization, leading to exhausted database connections that cannot respond to requests in a timely manner.
  • Symptom: Uploaded supplier audit reports cannot be retrieved. Cause: STORAGE_S3_ENDPOINT was not configured to point to the enterprise's dedicated storage node, resulting in mismatched file storage paths that prevent indexing completion.
  • Symptom: Incoming material batch information associated with bid documentation is empty. Cause: A reasonable expiration duration for REDIS_URL was not set, causing cached batch data to expire prematurely and preventing successful association matching.

How to confirm the configuration is complete

The following verification actions follow the FastGPT v4.17.0 specification.

  • Log in to the FastGPT backend, view the database connection count monitoring panel, and confirm that the actual connection count does not exceed the upper limit set by the DB_MAX_LINK configuration.
  • Upload a standard 8D report document to verify that the system can correctly parse the document content and associate it with the corresponding supplier quality profile.
  • After configuring FE_DOMAIN, initiate a quality data retrieval request for a bid document through the internal quality inspection portal, and confirm that the interface returns results normally.
  • Trigger a simulated incoming material batch synchronization task to verify that the data update duration meets the preset synchronization rhythm requirements.

The values provided are common starting points and should be measured against the reader's own samples.