1.3 KiB
Local Pipeline Reference
Purpose
Run the existing project code without Flask:
input folder
-> domains.json
-> schema.json
-> guidance file records
-> guidance_analysis records
-> RuleGenerationService task
-> output/rules-{task_id}/rules-{task_id}.xlsx
-> output/rules-{task_id}/rules-{task_id}.md
Input Discovery
The script searches the input directory for:
domains.xlsx,domains.xls,domains.csv, ordomains.jsonschema.xlsxorschema.xlsguidance/
Domain guidance lookup uses exact domain directory names. If a domain is named 过度负债, put files under:
guidance/过度负债/
Put shared policy files under:
guidance/_all/
State Mutation
DomainStorage.save_domains() replaces data/domains.json. This is intentional for a folder-driven run.
SchemaStorage.save() replaces data/schema.json and starts background schema description generation. Rule generation can still use parsed schema modules immediately.
Guidance file uploads append file records to current domains.
Completion
Rule generation is asynchronous. Poll RuleGenerationService.get_status(task_id) until status is done or failed.
Treat failed as a completed task state but return nonzero from CLI unless --allow-failed is added in the future.