agnes-the-ai-analyst

AI-Cognitive-Leap/agnes-the-ai-analyst

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Author	SHA1	Message	Date
Petr	d180b2014e	Step 28: Remote query architecture for local+remote table JOINs Add src/remote_query.py CLI module enabling the AI agent to run SQL queries spanning local Parquet tables and remote BigQuery tables in a single DuckDB session on the server. Two-phase protocol: BQ sub-queries (--register-bq) fetch filtered/aggregated data, then DuckDB SQL (--sql) joins everything. Safety: COUNT(*) pre-check, memory estimation (2GB cap), row limits (500K per BQ sub-query, 100K final result). Changes: - New src/remote_query.py with CLI, BQ registration, output formatting - Add bq_entity_type field to TableConfig (view vs table routing) - Extract create_local_views() from duckdb_manager.py for reuse - Update claude_md_template.txt with remote query agent instructions - Update example configs with remote_query section and docs - 52 new tests (42 remote_query + 10 bq_entity_type), all passing	2026-03-21 11:39:15 +01:00
Petr	2237334b05	Make CLAUDE.md template generic and instance-aware - Remove all Keboola-specific content (metric categories, MRR/ARR refs, corporate memory, hardcoded server IP) - Add {ssh_alias}, {server_host}, {webapp_url} placeholders - Bootstrap saves .sync_connection file with instance details - sync_data.sh reads .sync_connection to substitute all placeholders - Text instructions in dashboard include .sync_connection step	2026-03-14 23:57:58 +01:00
Petr	c56905d34f	Initial commit: OSS data distribution platform Open-source AI data analyst platform extracted from internal repo. Includes data sync engine, Keboola adapter, Flask web portal, server deployment scripts, and configuration templates.	2026-03-08 23:31:28 +01:00

Author

SHA1

Message

Date

Petr

d180b2014e

Step 28: Remote query architecture for local+remote table JOINs

Add src/remote_query.py CLI module enabling the AI agent to run SQL
queries spanning local Parquet tables and remote BigQuery tables in a
single DuckDB session on the server. Two-phase protocol: BQ sub-queries
(--register-bq) fetch filtered/aggregated data, then DuckDB SQL (--sql)
joins everything.

Safety: COUNT(*) pre-check, memory estimation (2GB cap), row limits
(500K per BQ sub-query, 100K final result).

Changes:
- New src/remote_query.py with CLI, BQ registration, output formatting
- Add bq_entity_type field to TableConfig (view vs table routing)
- Extract create_local_views() from duckdb_manager.py for reuse
- Update claude_md_template.txt with remote query agent instructions
- Update example configs with remote_query section and docs
- 52 new tests (42 remote_query + 10 bq_entity_type), all passing

2026-03-21 11:39:15 +01:00

Petr

2237334b05

Make CLAUDE.md template generic and instance-aware

- Remove all Keboola-specific content (metric categories, MRR/ARR refs,
  corporate memory, hardcoded server IP)
- Add {ssh_alias}, {server_host}, {webapp_url} placeholders
- Bootstrap saves .sync_connection file with instance details
- sync_data.sh reads .sync_connection to substitute all placeholders
- Text instructions in dashboard include .sync_connection step

2026-03-14 23:57:58 +01:00

Petr

c56905d34f

Initial commit: OSS data distribution platform

Open-source AI data analyst platform extracted from internal repo.
Includes data sync engine, Keboola adapter, Flask web portal,
server deployment scripts, and configuration templates.

2026-03-08 23:31:28 +01:00

3 commits