What the data for this category looks like
The data for film theater financing daily reports comes from the national film script filing and publicity platform, theater scheduling public system, financing information disclosed by film and television industry associations, and public investment promotion announcements. The data updates daily, covering financing updates for film projects released in the previous 72 hours. Each daily report uses a structured table format, with each entry containing six core fields: project name, production entity, financing amount, financing round, planned release schedule, and number of cooperating theaters. Financing amounts are measured in ten thousand yuan. Release schedules use the YYYY-MM-DD format. The number of cooperating theaters is a positive integer.
What constraints these characteristics impose during deployment and upgrade
Daily updated data sources require configuring scheduled pull tasks adapted to industry data source response delays, to avoid missing daily report data due to pull timeouts. The fixed field structure of structured tables requires binding fixed field extraction templates to knowledge base parsing rules, to prevent field misalignment during parsing. The requirement for financing amounts to use ten thousand yuan as the unit requires configuring numerical verification rules to filter abnormal data with non-ten-thousand-yuan units. The YYYY-MM-DD format for release schedules requires configuring date format verification to block invalid date inputs. The rule that the number of cooperating theaters is a positive integer requires configuring positive integer verification to ensure data compliance. Multi-production entity association information requires recall configuration to support multi-keyword associated retrieval, improving the recall accuracy of relevant financing entries.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The film theater financing daily report contains dozens of structured financing entries, requiring sufficient time to complete full field extraction and format verification |
UPLOAD_FILE_MAX_SIZE | 200 MB | A single structured daily report document usually does not exceed 80 MB, reserving space for batch import and attachment upload scenarios |
PARSE_CHUNK_SIZE | 800 characters | The total length of fields for a single financing entry is approximately 600-700 characters, and 800-character segmentation can fully retain complete information for a single entry |
RECALL_TOP_N | Top 10 entries | The core information of film theater financing daily reports is concentrated in new entries from the previous 72 hours, and 10 recall entries can cover core requirements |
SIMILARITY_THRESHOLD | 0.75–0.85 | This threshold balances recall accuracy and coverage when distinguishing financing projects with similar production entities and schedules |
AUDIO_TRANSCRIPTION_TIMEOUT | 300 seconds | If you need to access speech recognition modules to process financing interview audio, this timeout adapts to the typical duration of industry audio |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After mapping an intranet-deployed service to the public network, embedding the page via iframe results in a blank screen, while direct access to the public network address loads normally. Cause: Cross-origin resource sharing rules are not configured, or the address of the login-free window is not added to the trusted domain whitelist, resulting in interception by the browser same-origin policy during iframe embedding.
- Symptom: After upgrading to version 4.8.17, calling the Whisper speech recognition module returns a POST /v1/audio/transcriptions HTTP error. Cause: Version 4.8.17 adjusted the internal API route prefix, and the interface path of the Whisper proxy configuration was not updated synchronously, causing requests to fail to be correctly forwarded to the model service.
- Symptom: A locally deployed CogVLM model can be called directly, but image recognition tasks cannot be completed after connecting to FastGPT. Cause: The API address and port of the local model were not correctly filled in the FastGPT model configuration, causing proxy requests to fail to connect to the local model service.
How to confirm the configuration is complete
- Manually upload a single film theater financing daily report document, and verify whether the parsed result fields match the preset project information.
- Start the scheduled pull task, wait for execution to finish, and check whether the daily financing entries are updated synchronously in the knowledge base.
- Verify the interface path of the model proxy configuration to ensure that calls to related APIs can correctly forward requests to the corresponding model service.
- Configure an embedded test page, and check whether the embedded service page loads normally without abnormal prompts.
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.