What the data for this category looks like
Market data for consumer construction materials is sourced from public quotation APIs of regional building material wholesale markets and daily settlement ledgers of brand manufacturer distributors. It supports financial scenarios including wealth management and market quotation broadcasting. Update cadence follows: retail building materials are updated daily, while engineering centralized procurement building materials are updated every 2-3 business days. Each data entry includes category breakdown, brand, specification model, pricing unit, current quotation, and supply radius range. The associated fields are sku_code, product_name, spec, price_unit, current_price, and supply_radius. Pricing units include yuan per square meter, yuan per ton, yuan per set, and similar units.
What constraints these characteristics impose on conversation logs and auditing
Consumer construction material market data serves financial wealth management scenarios. Dispersed data sources must be marked in conversation logs to avoid compliance risks from cross-channel data mixing. Differences in update frequencies require logs to bind request timestamps and data effective times, preventing wealth management decision deviations caused by using expired quotations. The complexity of SKUs and specifications requires audits to link complete SKU information to ensure accurate traceability. Regional price differences require logs to retain geographic parameters, enabling retrospective verification of quotation geographic ranges during audits. Most conversation scenarios involve real-time inquiries, so logs must fully retain all fields from user requests and system responses to meet financial compliance auditing requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CHAT_LOG_STORAGE_LEVEL | full | Conversation logs for consumer construction materials must retain request parameters, SKU details, and data source identifiers to meet full audit traceability requirements |
custom_uid_bind_mode | strict | Sessions must be isolated by customUid to avoid mixing data across users, adapting to requirements for query history grouped by application and user |
API_CHAT_TIMEOUT | 300 seconds | Consumer construction material quotation data must be pulled across multiple data sources, so sufficient duration is reserved to prevent log loss from request interruptions |
AUDIT_FIELD_WHITELIST | ["customUid", "sku_code", "request_time", "source_type", "current_price"] | Only retain fields required for audits to reduce storage overhead while complying with compliance requirements |
SSE_CONNECTION_CLOSE_HANDLER | trigger_log_save | Force save current conversation fragments when the client disconnects the SSE connection, preventing loss of incomplete conversation data |
MONGO_CONNECTION_POOL_SIZE | 20-30 | Adapt to conversation peak volumes fluctuating with engineering project cycles in consumer construction material scenarios, preventing database connection exhaustion |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, data volumes, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Issue: Conversation logs are not fully written to the database after the client disconnects the SSE connection, only partial interaction fragments are retained. Cause:
SSE_CONNECTION_CLOSE_HANDLERis not configured to the log trigger mode, so conversation data is not forced to be persisted when the connection interrupts. - Issue: The container cannot access the port 3000 interface after startup, and the log shows a
MongoConnectionFailureerror, with manual MongoDB connection verification failing. Cause: TheMONGO_AUTH_CREDENTIALSparameter is not configured correctly, or the image version is incompatible with the MongoDB version, resulting in authentication failure. - Issue: Calling the conversation history interface returns full application session records, and target sessions cannot be filtered by customUid. Cause: The strict mode of
custom_uid_bind_modeis not enabled, or the interface request does not carry a valid customUid parameter, or customUid is not added toAUDIT_FIELD_WHITELIST.
How to Confirm Successful Configuration
- A test conversation is initiated with a specified custom customUid, the conversation history interface is called, and only session records linked to that customUid are confirmed to be returned.
- The SSE connection is manually disconnected, database storage logs are reviewed, and full writing of current conversation fragments to the specified storage medium is verified.
- MongoDB connection logs are checked, the connection pool connection count is confirmed to stay below the configured threshold, and no continuous connection timeout errors are present.
- Audit logs for a specified period are exported, and only fields within the preset whitelist are verified to be included, with no redundant non-audit-required data.
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.