AI tools for “ui”

Read NetSuite SuiteAnalytics Connect data from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions NetSuite, SuiteAnalytics Connect, ns.account.id, ns.role.id, or…

…BigQuery tables and views from AIDP notebooks using the built-in GOOGLE_BIGQUERY connector, service-account authentication, SQL pushdown, catalog.id, or external-catalog names. Use for BigQuery or GBQ requests in…

…>50k rows from Fusion. The recommended path uses AIDP's built-in `spark.read.format("aidataplatform")` connector (matches the official Oracle AIDP sample). HTTP Basic…

…`com.crealytics.spark.excel` Spark format (cluster jar required) and a `pandas → CSV → spark.read.csv` fallback that needs no…

…Google BigQuery, Azure ADLS, AWS S3, Salesforce, NetSuite, generic REST, custom JDBC,…

…compute cluster, optional cluster libraries from requirements-aidp.txt, the backup-snowflake-migration/ workspace folder holding the data-migration scripts and the plan artifacts, and the migration jobs…

…the entire Snowflake-to-AIDP migration pipeline against a built-in emulated estate and an emulated AIDP — no credentials, no network, nothing real is touched. Use when the user wants to understand what the migrator…

Build a high-level Snowflake to AIDP migration plan and present it for approval. States which objects can migrate and which cannot with a brief reason for each, applies user-supplied restrictions such as excluded…

…Use when the user asks about compute sizing, warehouse equivalence, cluster shapes, credits, or what the migration will…

…to surface every low-confidence conversion and REVIEW REQUIRED marker for a human decision (approve/edit/reject) rather than letting them ship…

…the LLM provider key (OPENAI_API_KEY on this Codex build), and (only if the user needs them) OCI/AIDP reachability for deploy and reconcile. Use the first time the migrator is invoked on a workstation, or when…

…execute anything on a live cluster (that's a separate, unbuilt capability — see…

…produces correct data — that gap is called out below. Requires a USER cluster, not the workspace…

…when the user wants to save a working query as canonical, build a verified-query repository, or improve answer reliability for recurring questions. Validates each pair on the cluster before marking it…

…flow), list/create/update/delete a tool, test a tool, or build a tool an agent/agent-flow node will reference. For attaching a tool inside a single flow as a node, see aidp-agent-flows +…

…VACUUM, time travel, RESTORE, schema evolution, liquid clustering). Use when the user wants to create/alter/drop a table or view, insert/update/delete/merge rows, upsert, compact/optimize/vacuum a Delta table,…

…heavily; when reviewing Spark/PySpark code or a Spark UI for performance; or before running a large Spark workload. Covers open-source Apache Spark 3.5.0 (+ Delta Lake) tuning -- partitions, shuffle, joins, skew,…

…AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Use when a job/query is slow or failed, the user asks "why did this fail / why is it slow", or you need stage/task timings, skew, shuffle/spill,…

…notebooks/python with cron). Use when the user wants to build a pipeline, create/update/run a Job, schedule a recurring run, check a run's status, read a task's output, or cancel a…

…on a cluster, attach/detach a kernel session, or build an interactive notebook (e.g. with widgets + Spark SQL + Plotly). Notebook FILE ops run via the Notebook contents REST API; CELL EXECUTION runs via…