fix: validate script_path exists + tell agent to call generate_job_file

Two problems with the prior prepare_submit_job flow:

  1. The agent could pass a script_path that only existed in its own
     context (LLM-generated code not yet on disk) or a path on the host
     filesystem that's invisible inside the container. The new check
     surfaces this as a 400 with a clear remediation hint instead of
     letting spark-submit fail later with an opaque FileNotFoundError -> 500.

  2. The container-isolation issue: any path the agent gives is interpreted
     inside the container. The two ways a file can legitimately exist there
     are (a) generate_job_file(code=...) just wrote it to
     SPARK_EXECUTOR_JOBS_DIR (the default ./data/jobs/ is the only
     gitignored dir that survives restarts), or (b) a host dir was
     mounted via -v. The error message spells both out so an agent can
     self-correct.

Implementation:
  - submit.py: new _check_script_path() that raises ValueError (-> 400)
    when the path is missing, empty, or a directory. Called in both
    prepare_submit_job and confirm_submit_job (defense in depth).
  - prepare_submit_job checks the connection FIRST (KeyError -> 404)
    before the script (ValueError -> 400), so an agent with both problems
    sees the more fundamental 'unknown connection' error first.
  - server.py / requests.py: route description and Pydantic field
    description spell out the generate_job_file pattern so an LLM
    reading the tool schema learns the right next step.

8 new tests; 8 existing tests adjusted to create real files (they used
synthetic /tmp/*.py paths that don't exist).
This commit is contained in:
Claude
2026-06-25 10:41:19 +08:00
parent 994c2d67ab
commit dd197019f9
6 changed files with 173 additions and 40 deletions
+7 -1
View File
@@ -73,7 +73,13 @@ def health_check():
"Snapshot the named Connection's master / deploy_mode / spark_conf / "
"yarn_rm_url into a PendingSubmission record and persist it. "
"Does NOT invoke spark-submit. Returns pending_id for use with "
"confirm_submit_job (the user-second-confirmation step)."
"confirm_submit_job (the user-second-confirmation step).\n\n"
"REQUIRED PATTERN for LLM-generated code: call generate_job_file(code=...) "
"first, then pass the returned script_path here. Direct submission with a "
"synthetic path (one that only exists in the agent's context) will be "
"rejected with HTTP 400 — the script must exist inside the container's "
"filesystem. For pre-existing files, mount the host directory into the "
"container and pass the in-container path."
),
)
def _prepare_submit_job(req: PrepareSubmitJobRequest):