Governance
18 entities found
4b52f44 commit
Agent API docs
COOLIFY_DEPLOY.md
Docker Deployment includes the COOLIFY_DEPLOY.md acceptance document with deployment instructions.
d8e8078 commit
Commit implementing backend support for language preference, prompts to respond in Danish or English.
DEPLOYMENT.md
Docker Deployment includes the DEPLOYMENT.md acceptance document guiding deployment via Coolify. DEPLOYMENT.md documents the Coolify-ready configuration DEPLOYMENT.md provides comprehensive deployment instructions for Coolify. The DataLens platform includes the DEPLOYMENT.md document providing a guide for Coolify deployment.
DISCOVERY_BUILD_SUMMARY.md file
The Discovery Build Summary.md document outlines the implementation and workflow for the data discovery features, including intelligent table consolidation and guided exploration components.
DOCKER.md
Acceptance document with unconditional delivery, contents unspecified; no update provided.
docs/MIGRATION_DUCKDB_TO_POSTGRESQL.md
Migration guide detailing the switch from DuckDB to PostgreSQL backend, including code modifications, rollback plan, and verification steps, completed on 2026-03-02.
Example workflows
Major Milestone: Complete E2E Flow Working
DataLens Development includes the achievement of the Major Milestone: Complete E2E Flow Working. The Complete E2E Flow Milestone utilizes several API Endpoints as part of the full user journey.
Phase 1: Language column + LLM prompts
Implement addition of language preference in user profiles and modify LLM prompts to respond in Danish or English accordingly.
Phase 2: i18n framework + core UI strings
Develop and deploy SvelteKit i18n framework, translate UI strings to Danish, load language from user settings, and ensure UI reflects preference.
Phase 3: Dynamic table names, error messages
PROGRESS.md
Acceptance document with unconditional delivery, contents unspecified in messages; no update provided.
project_14 schema
PostgreSQL project_14 schema contains 72 migrated tables from DuckDB as part of the backend migration. The project_14 schema in PostgreSQL stores extracted data from the 132 SVGV dataset files. PostgreSQL hosts the project_14 schema which stores extracted SVGV dataset tables. project_14 schema consists of 72 tables now hosted in the PostgreSQL backend after migration. The full SVGV dataset reset and re-extraction process involves dropping and recreating the project_14 schema to an empty state. PostgreSQL database stores the project_14 schema used for SVGV data storage and extraction results.
README.md
Acceptance document with unconditional delivery, contents unspecified in messages; no update provided. The DataLens platform includes the README.md file documenting the project overview.
SVGV_VALIDATION_REPORT.md
Document summarizing validation results with 8 files, confirming successful extraction, API responses, and successful platform deployment.