Commit Graph
7 Commits
Author SHA1 Message Date
ClaudeandClaude Fable 5 523e6a9c76 refactor(mcp): rename generate_job_file to write_job_file to match what it does
The MCP tool was named `generate_job_file` from Stage 2 but it does
NOT generate PySpark code — the calling LLM writes the code in its own
context, and this tool only persists it to a file under
SPARK_EXECUTOR_JOBS_DIR so `spark-submit` can see it. The misleading
`generate_` prefix sent agents (and humans) looking for a code
generator that doesn't exist.

This commit folds three related polish changes into one (split later
with rebase -i if you want them as separate history):

  1. The rename itself:
     - `tools/generate.py`  →  `tools/write_job.py`
     - `generate_job_file`  →  `write_job_file`
     - `GenerateJobFileRequest`  →  `WriteJobFileRequest`
     - `/generate_job_file` route  →  `/write_job_file`
     - `operation_id="generate_job_file"`  →  `operation_id="write_job_file"`
     The internal helper `core.job_writer.write_job_file` (which just
     writes bytes to disk with no SQL guard) is imported with an
     `_write_to_disk` alias to avoid the name collision with the
     MCP-exposed function in the same module.
     The description for the tool now explicitly states 'this tool
     does NOT generate PySpark code. The calling LLM is expected to
     have already written the code; this tool only persists it.'

  2. Skill for LLM agents operating the service
     (`docs/superpowers/skills/spark-executor-mcp-operate/SKILL.md`,
     449 lines). Covers the 16 tools, the two-step prepare/confirm
     flow, the dual-ID contract (job_id vs application_id), the
     PendingSubmission state machine, the Connection profile, the
     job-file workflow, the error reference, common pitfalls, and a
     full end-to-end word-count example.

  3. Default `executor_memory` lowered 4G → 2G
     (`_DEFAULTS_TO_CONFIRM` in `server.py`). Mirrors the matching
     change in `test_mcp_routes.py` and the 5 unit tests that
     reference the default. Aligns with the lighter workloads the
     service is sized for in its current container profile.

Also tracked in git for the first time:
  - `docs/superpowers/plans/2026-06-24-spark-executor-mcp.md`
    (the original Stage 1/2/3 design plan, updated to use the new
    tool name throughout).

Test rename:
  - `tests/unit/test_generate_tool.py`  →  `test_write_job_tool.py`
  - the new test file picks up an extra assertion that the SQL guard
    rejects a `DROP TABLE` statement at write time.

243 tests pass (was 242; +1 new SQL-guard assertion). Zero regressions.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-29 19:13:29 +08:00
Claude 4b07617af0 feat(submit): require explicit confirmation for all prepare_submit_job params
Remove defaults from queue, executor_memory, executor_cores,
num_executors, and app_name in prepare_submit_job. All must now be
explicitly confirmed by the caller.

Also add extra_args to the PendingSubmission snapshot so users can
confirm non-conf spark-submit flags (e.g. --jars, --py-files) at
prepare time; confirm_submit_job passes them through to
build_spark_submit_command.

This is an intentional breaking change to the MCP tool contract:
callers can no longer rely on implicit defaults.
2026-06-26 15:12:14 +08:00
Claude da9ba657f3 feat(pending): app_name field and date-sharded pending storage
- Add optional app_name to PendingSubmission and prepare_submit_job,
  passed through PrepareSubmitJobRequest for user-provided tracking.
- Rewrite PendingStore to shard records by UTC date under
  data/pending_jobs/YYYY-MM-DD.json instead of a single monolithic
  pending_jobs.json.
- Legacy single-file pending_jobs.json remains readable; first save()
  migrates it and renames the old file to avoid double reads.
- Tests cover date sharding, multi-date list, legacy read, legacy
  migration, and app_name round-trip.
2026-06-26 14:36:24 +08:00
Claude ad557b5984 feat(yarn_client): SSL/TLS config for YARN REST connections
Add per-Connection ssl_verify / ssl_ca_bundle plus global defaults so
CDH 5 / on-prem clusters with self-signed certs or custom CA bundles can
be queried without patching code.

- Connection gets ssl_verify (bool|None) and ssl_ca_bundle (str|None)
- Settings gets ssl_verify_default and ssl_ca_bundle_default
- New YarnClientConfig dataclass carries the resolved verify= value
- _request passes verify= through to httpx.request
- All public yarn_client functions now take YarnClientConfig instead of
  a bare yarn_rm_url string; tool call sites resolve the Connection
- SaveConnectionRequest exposes the two new fields

Tests cover per-connection CA bundle, per-connection verify=False,
global default fallback, and connection-not-found error.
2026-06-26 13:50:30 +08:00
Claude 516541a4df feat: Connection.master defaults to 'yarn'
YARN is the dominant use case, and the value of master for YARN is the
literal string 'yarn' (not a URL) — there is no useful variation. Making
it a default saves every YARN user from typing the same value every time:

    save_connection(name='prod')           # master defaults to 'yarn'
    save_connection(name='dev', master='spark://10.0.0.5:7077')  # override

Added a field_validator on master that catches common typos
('yarn-cluster', 'http://...', empty string) at save time with a clear
error message instead of letting them reach spark-submit.

Backward compatible: existing Connection records without an explicit
master field default to 'yarn' on load (Pydantic applies defaults on
deserialization), so already-saved data still works.

3 new tests cover the default, the validator, and that other cluster
managers (spark://, k8s://, local[N]) still pass.
2026-06-25 10:05:27 +08:00
Claude b3564737f7 refactor: replace yarn CLI shell-out with YARN REST API
yarn_client.py no longer invokes the 'yarn' binary via subprocess; it uses
httpx against /ws/v1/cluster/apps/* endpoints. This means the runtime image
no longer needs the Hadoop client installation — the only YARN-side
dependency left in the container is the config dir consumed by
spark-submit itself.

New model field:
  - Job.yarn_rm_url: str | None
  - PendingSubmission.yarn_rm_url: str | None (snapshotted at prepare)

prepare_submit_job snapshots Connection.yarn_rm_url into the pending
record (consistent with the existing master/deploy_mode/spark_conf
snapshot pattern); confirm_submit_job copies it onto the Job so
status/logs/kill can use it without re-looking-up the connection.

Resolution order for the RM URL at runtime:
  1. Job.yarn_rm_url (preferred — survives connection edits/deletes)
  2. Connection.yarn_rm_url fallback (if a future tool is added that
     doesn't go through a Job)
  3. YARN_RESOURCE_MANAGER_URL env var

Errors:
  - YarnConfigError (HTTP 4xx semantics) when URL is missing/malformed
  - YarnError for HTTP 4xx/5xx from the RM, network failures, missing
    state field, or unparseable log responses

10 new tests in test_yarn_client.py cover the REST surface:
success, 404, 5xx, missing state field, env-var fallback, malformed
URL, log 404 with log-aggregation hint, kill PUT body shape, and
httpx connection-error wrapping.
2026-06-24 17:33:36 +08:00
Claude 864093f1fb chore: add pytest dev-deps and pydantic models (Job, Connection, PendingSubmission) 2026-06-24 14:34:09 +08:00