_do_rebuild_source was creating a fresh temp DB with only one source,
then atomically replacing analytics.duckdb — wiping views from every
other source. Now it delegates to _do_rebuild so all extract dirs are
re-attached in a single pass.
Adds test_rebuild_source_preserves_other_sources to guard the regression.
Previously the password check was gated on both user.password_hash and
request.password being truthy, so an attacker could omit the password
field (which defaults to "") and receive a valid JWT. Now any user with a
stored hash must supply a non-empty password that passes argon2 verification.
Adds six TestTokenEndpoint tests covering empty, missing, wrong, and correct
password, plus no-hash user and unknown user cases.
- Replace padak/tmp_oss → keboola/agnes-the-ai-analyst in all docs, infra, CLI
- Replace your-org/ai-data-analyst → keboola/agnes-the-ai-analyst in README, Jira docs
- Remove real GCP project ID from terraform.tfvars.example
- Delete internal draft documents (dev_docs/draft/)
- Update infra/main.tf to clone from main branch
- Legacy extractor now uses read_csv(all_varchar=true) to avoid type
inference errors (e.g. seniority column typed as DOUBLE with string values)
- DEPLOYMENT.md rewritten based on actual dev VM deployment experience:
deploy key setup, DuckDB write locking, env reload gotchas, bootstrap flow
deploy-guard.yml referenced deleted tests and sudoers files.
deploy.yml.example used legacy SSH-based deployment.
Updated ci.yml and deploy.yml are in .gitignore (need workflow scope to push).
BigQuery extension handles auth via GOOGLE_APPLICATION_CREDENTIALS env var,
so _remote_attach uses empty token_env. Orchestrator now supports both
token-based (Keboola) and env-based (BigQuery) authentication modes.
Extractors with remote tables now write a _remote_attach table into
extract.duckdb so the orchestrator can re-ATTACH external extensions
at query time. The mechanism is source-agnostic — any connector can use it.
- Keboola extractor writes _remote_attach + creates views on kbc.*
- Orchestrator reads _remote_attach, installs extension, reads token from env
- Graceful degradation: missing token → warning, local tables still work
Subprocess cannot open system.duckdb (main process holds lock).
Now main process reads table_registry and passes configs as JSON
via stdin to subprocess. Subprocess never touches system.duckdb.
Three-pronged fix for DuckDB lock conflicts:
1. WAL mode on system.duckdb — enables concurrent readers + writer
2. Sync trigger runs extractor as subprocess (not background task) —
separate process = separate DuckDB connections, no lock conflict
3. Both extractor and orchestrator write to .tmp then atomic rename —
avoids lock conflict with API reads on extract.duckdb/analytics.duckdb
Fixes#9 permanently.
Fixes#9 — background sync tasks could not access system.duckdb
because FastAPI held an exclusive lock. Now uses single shared
connection per DATA_DIR with cursor() for thread safety.
da admin register-table: register single table
da admin discover-and-register: auto-discover from Keboola API + bulk register
da admin list-tables: show all registered tables
Used to register all 142 Keboola tables on production.
Schema v3: add is_public column to table_registry (default true).
src/rbac.py: can_access_table() checks admin bypass, public flag,
explicit permissions, wildcard bucket permissions.
API enforcement:
- manifest: filters tables by user access
- download: 403 if no access
- catalog: filters table list
- query: validates referenced tables against allowed list
New admin permissions API (/api/admin/permissions) for grant/revoke.
28 access control tests + 733 total tests passing.
New src/rbac.py: Role enum, hierarchy, get_user_role(), has_role(),
is_admin(), is_km_admin(), has_dataset_access(), set_user_role().
webapp/auth.py: admin_required + km_admin_required now use DuckDB
roles instead of Linux groups (pwd.getpwnam + sudo/data-ops check).
app/auth/dependencies.py: imports Role from src/rbac.py (single source).
11 RBAC tests passing.
Update project structure, architecture diagram, key implementation
details, development commands, and extensibility docs.
Add extract service to docker-compose.yml for one-shot extraction.
migrate_registry_to_duckdb.py: imports tables from data_description.md
or table_registry.json into DuckDB table_registry with source columns.
migrate_parquets_to_extracts.py: copies parquets to /data/extracts/
and creates extract.duckdb with _meta + views.
- New extract_init.py: creates extract.duckdb with _meta + views for 6 entity types
- Update default paths to /data/extracts/jira/data/ and /data/extracts/jira/raw/
- After parquet writes, update _meta table in extract.duckdb
- Trigger SyncOrchestrator.rebuild_source("jira") after successful transform
