What the data for this category looks like
Oil and gas extraction financial report data comes from public periodic enterprise reports and production operation ledgers published by industry associations. Data update frequency has three categories:
- Annual full financial reports are updated every 12 months
- Quarterly operational data is updated every 3 months
- Monthly production monitoring data is updated every month
Document structure includes three parts: management discussion and analysis, operational data schedules, and financial statement notes. Operational schedules contain specialized fields such as proven reserves, daily oil production per well, and drilling cost. Units for these fields are million barrels of oil equivalent, barrels per day, and USD per foot respectively. Some documents include special block exploration assessment reports.
Constraints on deployment and upgrade from these characteristics
Multi-frequency data sources require multiple scheduled synchronization tasks during deployment. Conflicting sync cycles may cause data duplication or omission. Specialized fields and unique units need custom parsing rules. Generic parsing models cannot accurately recognize oil and gas industry-specific terms. This may lead to field mapping errors. Long documents and multiple attachments increase parsing and upload load. Timeout settings and file size limits must be adjusted. During upgrade, custom field mappings and synchronization configurations must be retained. If not retained, previously imported oil and gas financial report data will fail to parse.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_CRON_EXPR | 0 0 2 * * * and 0 0 1 */3 * * | Matches daily 2 AM sync for monthly production data, and 1st day of each quarter's first month for quarterly financial reports, aligning with oil and gas data update cycles |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Oil and gas financial reports contain numerous specialized tables and long-text attachments, requiring longer parsing timeout to ensure complete parsing |
VECTOR_CHUNK_SIZE | 800–1200 characters | Operational data fields in oil and gas financial reports are densely packed. Chunk length adapts to context association requirements for specialized terms, avoiding disruption of field logic |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Attachments such as reserve assessment reports included in annual financial reports have large sizes. Supporting larger file uploads prevents upload failures |
CUSTOM_FIELD_MAPPING | Map "proven reserves" and "daily oil production per well" to preset oil and gas industry fields | Matches the specialized field naming rules of oil and gas financial reports, avoiding field recognition bias from generic parsing models |
RECALL_TOP_K | Top 8 entries | Oil and gas data has a high proportion of specialized terms, requiring sufficient recall entries to cover relevant business context |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are influenced by material format, data volume, and business rules. Specific issues require individual analysis. Testing on local samples is recommended prior to finalizing settings.
Three common errors
- Issue: Parsing of previously imported oil and gas financial reports fails after cross-version upgrade. Cause: The legacy
CUSTOM_FIELD_MAPPINGconfiguration was not retained. The new version’s parsing rule logic for oil and gas specialized fields has changed. - Issue: A MongoDB connection error occurs after service startup, with error code
ECONNREFUSED. Cause: MongoDB version 7 is in use. The current FastGPT version does not support the connection protocol of this version. Use of MongoDB version 6 is recommended. - Issue: Third-party API configuration does not take effect, returning
401 Unauthorized. Cause: Interface address and secret key inTHIRD_PARTY_API_CONFIGwere not filled correctly. Or configuration was not updated synchronously after relocating the third-party service deployment.
How to confirm configuration is complete
- Manually trigger a data synchronization task. Verify that the number of datasets after synchronization matches the number of latest updated entries from the data source.
- Upload a single test oil and gas financial report document. Check if the parsed result includes the preset specialized business fields.
- View the MongoDB connection logs in the service logs. Confirm that the database version meets compatibility requirements.
- Call the test interface for the third-party video model. Check that the interface returns the expected status code.
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.