Skip to main content

Paper Scoring Reporting

paper-scoring-reporting turns paper-scoring-core score results into plain-text, mobile-friendly HTML, and PDF reports. SMTP delivery is a separate, explicitly configured step. The package never reads .env files or process environment variables.

Install

python -m pip install paper-scoring-reporting

Render and deliver

from datetime import date

from paper_scoring_reporting import (
    ReportMetadata,
    SMTPSettings,
    SMTPSender,
    compose_report_email,
    render_report,
)

report = render_report(
    score_results,
    ReportMetadata(
        report_date=date.today(),
        category="cs.AI",
        scoring_version="3.0.0",
    ),
)

settings = SMTPSettings(
    host="smtp.example.invalid",
    port=587,
    sender="automation@example.invalid",
    username="automation@example.invalid",
    password=runtime_password,
)
email = compose_report_email(
    sender=settings.sender,
    recipients=["reviewer@example.invalid"],
    subject="Paper scoring report",
    report=report,
)
SMTPSender(settings).send(email)

Inject credentials at runtime from your process supervisor, secret store, CLI, or MCP composition root. Do not put credentials in source files or report data.

Accepted result values

The renderer accepts a sequence of paper_scoring_core.ScoreResult objects, objects with a safe model_dump() method, dataclass instances, or mappings. Only the public score-report fields are selected; arbitrary object attributes and unknown mapping keys are ignored. Legacy title-cased mapping keys are accepted for migration.

Development

python -m pip install -e '.[test,security]'
pytest
ruff check .
bandit -c pyproject.toml -r src
pip-audit

CI exercises Python 3.11 through 3.13 on Ubuntu and Windows, builds wheel and sdist artifacts, and verifies their metadata.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

paper_scoring_reporting-0.1.0.tar.gz (23.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

paper_scoring_reporting-0.1.0-py3-none-any.whl (19.1 kB view details)

Uploaded Python 3

File details

Details for the file paper_scoring_reporting-0.1.0.tar.gz.

File metadata

  • Download URL: paper_scoring_reporting-0.1.0.tar.gz
  • Upload date:
  • Size: 23.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for paper_scoring_reporting-0.1.0.tar.gz
Algorithm Hash digest
SHA256 4058ab26cad7065fdeb819a3e2d6375ff4fb59ba94ef9c08569117051812cf56
MD5 b3fb4ab1a9682bc5687c200483f481f5
BLAKE2b-256 103be690d17224cdd812026f1dc654e3f056fb3ff16eadcc179ce2729189bc96

See more details on using hashes here.

File details

Details for the file paper_scoring_reporting-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for paper_scoring_reporting-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c983b54ead3ee69806678ed121409a2bf98d869631a9000b0fd15ec36ea3eb18
MD5 9fd1909c14fdda8907dc607c4e42dac1
BLAKE2b-256 ca1433e484f5cfcd2231e98a72c16f6d54b0d66567e4fcb08098f77361347817

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page