Deployment and Upgrade for Infrastructure Engineering

What this category’s data looks like

Infrastructure engineering financial report data primarily comes from publicly disclosed periodic reports of listed companies and progress ledgers submitted by project owners. Update cycles follow quarterly and annual core periods, with some under-construction project data updated monthly. Document structures include fields such as project approval documents, total contract price, completed project volume, accumulated cost outlays, net cash flow, and more. Units are mostly ten thousand yuan, cubic meters, construction days, and similar units. Individual financial report documents are lengthy, containing multi-dimensional project detail data.

What constraints these characteristics impose on deployment and upgrade

The lengthy infrastructure engineering financial report data and multi-dimensional detail fields require reserving sufficient parsing and storage resources during deployment, to avoid parsing timeouts caused by oversized individual documents. The fixed-cycle update rhythm requires configuring trigger intervals for scheduled synchronization scripts during deployment, to adapt to quarterly and monthly data source update frequencies. The presence of multiple field types and special units requires configuring custom field mapping rules in the parsing link, to prevent unit identification errors. During the upgrade process, the breakpoint resume capability of existing synchronization tasks must be retained, to prevent report missing caused by interrupted data synchronization.

How to set the configurations

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`900 seconds`	Infrastructure financial report documents are lengthy, requiring sufficient parsing time
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Individual infrastructure financial reports and attached project detail files have large sizes, adapting to large file upload requirements
`VECTOR_CHUNK_SIZE`	`1500–2000 characters`	Infrastructure financial reports contain multi-dimensional detail fields; this segment length preserves project information integrity
`SYNC_CRON_EXPR`	`0 0 2 * * 1,4`	Adapts to the weekly and monthly update rhythm of most infrastructure data sources, reducing synchronization conflicts
`MONGO_IMAGE_TAG`	`4.4.29`	Compatible with server CPUs that do not support AVX instruction sets, avoiding version compatibility errors
`AUTHENTICATION_ENABLE`	`true`	Deployments on self-hosted servers require controlling access permissions for internal financial report data

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volumes, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

Symptom: After starting the service, the mongo version incompatible error pops up, and logs contain prompts that the AVX instruction set is not supported. Cause: A high-version MongoDB image that depends on the AVX instruction set was used, without adapting to older server hardware.
Symptom: Uploaded infrastructure financial report documents fail parsing, returning the 413 Request Entity Too Large status code. Cause: The UPLOAD_FILE_MAX_SIZE configuration item was not adjusted, and the default value is insufficient to handle large financial report attachments.
Symptom: In deployment scenarios with login disabled, unauthorized users can directly access internal financial report data. Cause: AUTHENTICATION_ENABLE was not set to true, and the identity verification function was not enabled.

How to confirm configurations are properly set

Log in to the service backend, check the MongoDB connection logs, and confirm that the used image version matches the configured MONGO_IMAGE_TAG.
Upload a standard infrastructure financial report document, check if the parsed fields include preset fields such as project budget and completed project volume, and confirm that the field mapping configuration takes effect.
Manually trigger a scheduled synchronization task, check if the synchronization result covers the latest data source data, and confirm that the trigger logic configured in SYNC_CRON_EXPR is correct.
Test accessing the service address with an unauthorized user, confirm that direct access to the system is not possible, and verify that the identity verification configuration takes effect.

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.