Deployment and Upgrade for Feed Intelligent Due Diligence Reports

Data for feed intelligent due diligence reports comes from four primary sources: raw material purchase ledgers, raw material quality inspection

What Data for This Category Looks Like

Data for feed intelligent due diligence reports comes from four primary sources: raw material purchase ledgers, raw material quality inspection reports, production batch records, and livestock and poultry feeding tracking archives. Data updates run per production batch. A single batch report covers full lifecycle information for that batch of feed. Most documents combine multi-page structured tables and test attachments. Core fields include raw material name, crude protein percentage, moisture content, manufacturer, batch number, and test date. Common units are percentage, kilogram, and ton.

Constraints on Deployment and Upgrade

The multi-source, heterogeneous data structure of the feed category requires configuring multi-format parsing rules during deployment. These rules adapt to different file types, including Excel purchase ledgers, PDF quality inspection reports, and CSV feeding archives. Updates follow a production batch schedule. This requires an incremental synchronization configuration logic. During upgrades, historical batch data indexes must be retained. This prevents repeated parsing of old data. Single reports are lengthy and include segmented fields with units. Parsing timeout and field standardization parameters need adjustment to ensure complete data extraction and accurate unit matching.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS900 secondsSingle feed due diligence reports include multi-page test attachments and purchase ledgers. Parsing time is longer than that for general industry documents
UPLOAD_FILE_MAX_SIZE2000 MBSingle-batch feed due diligence reports may include multiple raw material quality inspection PDFs and ledger Excel files. Total file volume is large
maxContext16384 tokensFeed reports need to associate raw material information, test data, and batch information. Sufficient context is required to preserve association logic
SYNC_INCREMENTAL_ENABLEDEnabledFeed data is updated per production batch. Incremental synchronization avoids repeated parsing of historical batch data
PARSE_SEGMENT_LENGTH800–1200 charactersFeed report field paragraphs are moderately sized. Segments that are too long cause context fragmentation. Segments that are too short lose associations between fields
RECALL_SIMILARITY_THRESHOLD0.75–0.85Core fields of feed due diligence reports have high recognizability. A reasonable threshold must be set to filter irrelevant recall results

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 targeted analysis. It is recommended to test using samples specific to the deployment before finalizing settings.

Three Common Configuration Mistakes

  • A service accessed after deployment returns 405 method not allowed. This occurs because cross-domain rules for the marker service are not configured correctly, or the port mapping does not allow the corresponding request method.
  • Local deployment fails to recognize configured AIPROXY_API_ENDPOINT and AIPROXY_API_TOKEN. This occurs because the parameters are not written to system environment variables or the corresponding configuration file, or the parameter format includes extra line breaks or spaces.
  • Core fields are empty after importing feed due diligence reports. This occurs because field standardization rules are not configured, and unit suffixes in the report are not recognized, leading to failed field matching.

How to Confirm Proper Configuration

  • Upload a standard feed due diligence report, check the parsing task status, and confirm that parsing time does not exceed the configured PARSE_FILE_TIMEOUT_SECONDS duration.
  • Manually trigger an incremental synchronization task, review the synchronization log, and confirm that only newly added batch data is processed, with no repeated parsing of historical data.
  • Search for core fields of feed reports, confirm that the units in the search results match the original report, with no field recognition errors.
  • Access the service interface, confirm that the returned status code is 200 OK, with no 405 method not allowed errors.

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.