Database and Operations for Cosmetic Investment Research

What the data for this category looks like

Cosmetic investment research data mainly comes from official brand filing documents, ingredient test reports, e-commerce platform user reviews, industry association sampling data, and patent literature. Data update rhythms vary: brand filing information updates quarterly per regulatory requirements, new product launches add independent data entries, and ingredient research reports update monthly. Data includes two categories: structured and unstructured. Structured fields include INCI Name, filing number, applicable skin type, and compliance threshold. Unstructured content includes ingredient analysis documents and user review text. Field units are mostly mg/g and %.

What constraints do these characteristics impose on database and operations

Multi-source data access requires databases to support mixed format storage. The database must be compatible with both structured fields and unstructured text. Data sources with different update rhythms need differentiated synchronization strategies. Regulatory filing data requires strict full validation on a periodic basis. New product data needs to support incremental synchronization. Compliance-related fields such as filing number require a strong validation mechanism to ensure data meets regulatory requirements. Data volume grows rapidly with new product launches, so elastic scaling space must be reserved to avoid degradation of storage and query performance. In addition, the sensitivity of cosmetic investment research data requires strict access permission controls for the database, to prevent leakage of core ingredient data.

Configuration settings

Configuration Item	Recommended Value	Rationale
`MONGO_CONNECTION_STRING`	`mongodb://fastgpt:cosmetic123@localhost:27017/fastgpt_cosmetic?authSource=admin`	Compatible with FastGPT v4.15 version. Cosmetic investment research data requires a dedicated database instance. Specify the authentication source and database name to avoid mixing with other business data
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Cosmetic filing reports and ingredient test reports are often large PDF or Excel files, so large file upload support is required
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Cosmetic ingredient analysis documents have long content, so sufficient time is needed for OCR recognition and structured extraction
`RECALL_TOP_K`	`Top 8 entries`	Cosmetic investment research requires retrieval results covering multiple dimensions including ingredients, compliance, and user feedback. Too many results will increase retrieval time
`SIMILARITY_THRESHOLD`	`0.75`	Cosmetic ingredient and efficacy-related searches require high matching accuracy to filter low-correlation results
`DB_BACKUP_CRON`	`0 0 2 * * *`	Perform backups at 2 AM daily to avoid impacting investment research data access during peak business hours

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 targeted analysis, and testing on in-house samples is recommended before finalizing settings.

Three common mistakes

Symptom: Connection to FastGPT's local MongoDB via MongoDB Compass fails, with authentication failure or connection timeout prompts. Cause: Authentication parameters for MONGO_CONNECTION_STRING are not configured correctly, or the MongoDB container port is not mapped during Docker deployment.
Symptom: After uploading a cosmetic ingredient Excel file, the INCI Name field is empty. Cause: The corresponding configuration item for Excel structured parsing is not enabled, or the header name does not match the preset fields, leading to parsing failure.
Symptom: Workflow database write operations return status code 504. Cause: PARSE_FILE_TIMEOUT_SECONDS is set too short to complete parsing and import of large ingredient documents.

How to confirm the configuration is correct

Run a MongoDB connection test, use the configured MONGO_CONNECTION_STRING to connect to the database, and verify that imported cosmetic filing data can be queried.
Upload a single cosmetic test report PDF under 1000 MB, check that structured fields such as INCI Name and filing number are generated after parsing, and no timeout errors occur.
Initiate a component keyword search, confirm that the number of recalled results matches the RECALL_TOP_K configuration value, and the similarity matching degree is not lower than SIMILARITY_THRESHOLD.
Check the system backup log to confirm that the database backup task is executed daily at 2 AM according to the DB_BACKUP_CRON configuration.

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.