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Menzzo Chatbot Logs
Purpose
menzzo-chatbot-logs stores and exposes chatbot conversation diagnostics. It helps teams inspect Dify conversation and message records for analytics, debugging, and support review.
Stack
- Flask-style Python API.
- SQLAlchemy/PostgreSQL data access.
- Docker-oriented local/runtime setup.
Connected Projects
- Menzzo Chatbot UI and Backend generate or consume chatbot activity context.
- Dify provides conversation/message source data.
- Support and SAV teams use logs to diagnose customer journeys.
Local Docs Submodule
When this repo consumes global docs, use:
bash
cd docs
npm ci
npm start
npm run buildTo Expand
- DB schema and retention policy.
- Dify import/sync process.
- Query examples.
- Privacy and access rules.
Dependencies
The page documents a diagnostic API associated with Dify conversation/workflow records and chatbot UI/backend activity. Database schema, retention, access controls, and synchronization ownership remain unknown.
Setup
Application setup is not established by this page. Follow the owning repository's README and setup instructions, and request the approved local access or environment you need. The shared documentation submodule and docs-site commands are described in the repository map and local development guide; they do not start this application.
Flows
See Chatbot to business API for the shared diagnostic context; exact correlation identifiers and retention rules are not mapped yet.
Diagnosis
Use the logs service to investigate only the records and fields that its project documentation explicitly supports. Schema, access, and query examples are missing here, so avoid assuming that absence from a query means absence from the user journey.
Evidence and gaps
The page has a stack summary but no verified schema, ingest/sync flow, retention policy, access model, query guide, or runbook.
Next evidence to add: source commit and file references for the owned boundary, then repository-specific setup and the relevant operations procedure. See the documentation coverage matrix for the system-wide gap record.