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msradam/fromjcl

fromjcl

PyPI Python License CI

Parse IBM z/OS JCL into a typed Python model, then serialize it to JSON, YAML, CSV, or back to byte-exact JCL.

demo

fromjcl job.jcl --to json
fromjcl job.jcl --to yaml
fromjcl job.jcl --to csv          # one row per (step, DD, dataset)
fromjcl job.jcl --to jcl          # byte-exact roundtrip
fromjcl job.jcl --to raw          # parse-tree dump

The parser is a pure-Python port of Mike Fulton's JCLParser (Apache 2.0). Byte-exact roundtrip is enforced on every commit against an 83-sample corpus pulled from github.com/IBM/*, github.com/zowe/*, and hand-authored paraphrases (see tests/jcl_samples/).

Install

pip install fromjcl

Python 3.12+. Runtime deps are pyyaml and typer. Pure Python, so the same wheel installs under IBM Open Enterprise Python on z/OS as well as Linux, macOS, and Windows.

Optional [zoau] extra (experimental)

pip install 'fromjcl[zoau]'

Enables --to zoau and --to mvscmd, which translate each step into its closest ZOAU shell equivalent (or an mvscmd/mvscmdauth invocation when no opinionated mapping exists). Pulls in bashlex to structurally check every flag in the emitted script against a frozen ZOAU 1.x manpage table.

The output is best-effort. Every generated script starts with an EXPERIMENTAL banner, and bashlex catches flag typos but does not verify semantic equivalence to the source JCL. Review before running against real datasets.

Quick start

Given test.jcl:

//TESTJOB  JOB (ACCT),'TEST',CLASS=A
//STEP01   EXEC PGM=IDCAMS
//SYSPRINT DD SYSOUT=*
//SYSIN    DD *
 /* HELLO */
/*

fromjcl test.jcl --to yaml:

name: TESTJOB
account: (ACCT)
programmer: TEST
class_: A
steps:
- name: STEP01
  program: IDCAMS
  dds:
  - name: SYSPRINT
    sysout: '*'
  - name: SYSIN
    instream: ' /* HELLO */'

Querying with jq

# every dataset referenced
fromjcl job.jcl --to json | jq -r '.steps[].dds[].datasets[]?.dsn'

# datasets being created
fromjcl job.jcl --to json | jq -r '.steps[].dds[].datasets[]? | select(.disposition.status=="NEW") | .dsn'

# steps that run a specific program
fromjcl job.jcl --to json | jq -r '.steps[] | select(.program=="IDCAMS") | .name'

Python API

The public surface is what fromjcl/__init__.py re-exports. Anything under fromjcl._* or fromjcl.converters.* is internal.

from fromjcl import parse, Job, to_yaml, to_jcl, from_dump

# Parse + walk the model.
job = Job.from_parsed(parse("test.jcl"))
for step in job.steps:
    print(step.name, step.program, [dd.name for dd in step.dds])

# Forward: serialize the Job to a human-readable format.
print(to_yaml(job))           # YAML
# to_json(job), to_csv(job) also available

# Byte-exact roundtrip preserves comments, column layout, blank lines.
# Pass the parse tree, not the Job (the Job IR is lossy by design).
print(to_jcl(parse("test.jcl")))

# Reverse: take a JSON/YAML/CSV dump and emit JCL (functionally
# equivalent, not byte-exact).
print(from_dump(open("job.yaml").read(), "yaml"))

Available names:

Symbol What it is
parse(path), parse_bytes(data) Parser. Returns a dict with full byte-level metadata.
Job, Step, DD, Dataset, Disposition, Space, DCB Dataclasses. Standard equality, asdict(), structural pattern matching.
Job.from_parsed(tree) Build the Job model from a parse tree.
to_json(job), to_yaml(job), to_csv(job) Serialize a Job.
to_jcl(tree), to_raw(tree) Serialize a parse tree (byte-exact / raw dump).
from_dump(text, fmt) Reverse path: text dump back to JCL.

[zoau] extra adds two private modules accessible via the CLI's --to zoau / --to mvscmd paths. They are not part of the stable Python API.

Reverse: re-emit JCL from JSON, YAML, or CSV

fromjcl job.json --rejcl              # auto-detects input format
fromjcl job.yaml --rejcl --from yaml
fromjcl job.csv  --rejcl --from csv

The reverse path produces functionally equivalent JCL, not byte-exact. Comments, blank lines, and column layout are lost on the forward pass through the IR and cannot be reconstructed. The combinatoric matrix in tests/test_rejcl_matrix.py asserts that Job → format → JCL → Job is a fixed point under dataclass equality across the entire IBM/community/ZOAU corpus.

z/OS notes

JCL input is read with standard z/OS UNIX semantics. If you hit a silent decode failure, check the file tag (ls -T) and convert to ASCII (iconv -f IBM-1047 -t ISO8859-1) before running.

If pip install itself trips over EBCDIC tagging, set _BPXK_AUTOCVT=ON in the install shell.

Development

uv sync --all-groups
tests/check.sh        # ruff format + check, mypy, vulture, pytest

The test group is z/OS-installable (pytest + bashlex, both pure Python). The dev group adds workstation-only tooling (ruff, mypy, vulture, radon, interrogate); ruff and uv are Rust binaries with no z/OS build.

CI runs the same tests/check.sh pipeline on every push and pull request (see .github/workflows/ci.yml).

Docs

License

Apache-2.0. See LICENSE and NOTICE.

Trademarks

IBM, the IBM logo, z/OS, MVS, and Z Open Automation Utilities (ZOAU) are trademarks or registered trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available at https://www.ibm.com/legal/copytrade.

This project is an independent community effort. It is not affiliated with, endorsed by, or sponsored by IBM.

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Parse IBM z/OS JCL and serialize it to JSON, YAML, CSV, or byte-exact JCL. Optional ZOAU shell emitter.

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