Skip to main content

sdr-visualizer

PyPI Tests Lint Version Sync Python 3.11+ Coverage Ruff uv License: MIT

Static-output visual catalog generator for Adobe Customer Journey Analytics (CJA) and Adobe Analytics (AA) implementations. Consumes JSON snapshots from cja_auto_sdr and aa_auto_sdr and produces a single self-contained HTML file with:

  • A searchable, filterable component catalog (the primary view)
  • An interactive force-directed reference graph
  • Per-segment anatomy diagrams that make deeply-nested segments legible
  • Per-calculated-metric formula trees with click-through to referenced metrics
  • Snapshot-to-snapshot Changes and multi-snapshot Trend views

The catalog view: header stats strip, search and filters, and the component table

Live examples: CJA report · AA report

The output is one HTML file: no server, no consumer-side build step, and no CDN dependencies. Its JSON, CSS, JavaScript, and D3 runtime are embedded, so it opens in a modern browser without an internet connection and makes no network requests.

Offline does not mean cleared for distribution. A report can contain implementation and component names, descriptions, segment and calculated-metric logic, owners, identifiers, timestamps, and source paths. Treat it as derived from the source snapshot. Move, email, post, or attach it only in authorized locations and in accordance with your organization's confidentiality and data-handling policy.

Install

Install from PyPI with uv:

uv tool install sdr-visualizer

Or with pip:

pip install sdr-visualizer

For development, run from a clone:

git clone https://github.com/brian-a-au/sdr-visualizer
cd sdr-visualizer
uv sync
uv run sdr-visualizer --help

CJA dataset lineage (1.1.0 candidate)

The same package also installs cja-lineage, a CJA-only command for exploring AEP datasets → CJA Connections → CJA Data Views. This branch prepares 1.1.0; these additions are not available from PyPI until that release is published. The existing sdr-visualizer catalog command continues to support both CJA and AA.

cja-lineage --saved discovery.json --output lineage.html
cja-lineage --help

Use CJA dataset discovery JSON (cja_auto_sdr --list-datasets), not an AA or CJA component snapshot. The offline report includes Connection cards, search for all three entity types, relationship metadata, role filters, and an optional full topology. Saved input needs no credentials; live acquisition is explicit. See the CJA lineage guide for live usage, upstream compatibility, navigation, limits, and exit codes.

Quickstart with a saved snapshot

Saved snapshots are the simplest and most reproducible input. You do not need either upstream generator installed to visualize a JSON file you already have.

# From a snapshot file
sdr-visualizer path/to/snapshot.json

# From a directory of snapshots (uses the most recent)
sdr-visualizer path/to/snapshots/

# Compare against an earlier snapshot: adds a Changes view to the report
sdr-visualizer snapshot_new.json --compare-to snapshot_old.json

# Chart evolution across a directory of snapshots: adds a Trend view
sdr-visualizer ./snapshots/ --trend

The output lands at ./visualize-{instance_id}-{timestamp}.html by default. Open it in a browser — that's the whole experience.

Standard input is also supported when another process already emits a complete compatible snapshot:

some-snapshot-command | sdr-visualizer -

Live CJA

Live CJA mode requires the separate cja_auto_sdr executable. Follow that project's current installation, configuration, and authentication instructions, then confirm cja_auto_sdr is on your PATH. Its generator may require a newer Python version than sdr-visualizer's Python 3.11 minimum.

sdr-visualizer --dataview dv_prod_web

sdr-visualizer runs the generator with JSON output, a temporary output directory, and --include-all-inventory, then selects the generated snapshot. The temporary source data is removed after the report is built. This is not a stdin pipeline: CJA's complete inventory is directory-backed.

Live AA

Live AA mode likewise requires the separate aa_auto_sdr executable. Complete its current setup and authentication steps, and confirm aa_auto_sdr is on your PATH. The generator may require a newer Python version than sdr-visualizer.

sdr-visualizer --rsid prod_us

AA live mode reads the generator JSON snapshot from stdout and embeds the supported normalized component catalog in the report. Retain the original generator snapshot when you need platform-specific details that the visualizer does not embed. For both live modes, the upstream repository is authoritative for credentials, permissions, and generator compatibility.

Useful flags

Flag What it does
--output PATH Write HTML somewhere specific.
--json PATH Also emit the embedded payload as a separate JSON file (useful for downstream tooling).
--title TEXT Override the document title.
--color-pack CODE Select default, ADBE, OMTR, or BLUE for HTML presentation (case-sensitive).
--exclude-orphans Default the catalog's references filter to "Referenced" — hides components nothing depends on.
--max-graph-nodes N Override the 1,000-node graph-rendering threshold.
--platform cja|aa Override platform auto-detection.
--at TIMESTAMP When path is a directory, pick the snapshot closest to (and not after) this timestamp.
--quiet Suppress informational stderr output.

Color packs

Every report uses one built-in color pack. The exact catalog, in CLI order, is default, ADBE, OMTR, and BLUE; identifiers are case-sensitive. Select a pack on the command line:

sdr-visualizer snapshot.json --color-pack ADBE

Or pass the same identifier through the Python rendering API:

from sdr_visualizer.core.visualizer import visualize

html = visualize(snapshot, source="snapshot.json", color_pack="BLUE")

Color-pack selection changes HTML presentation only. It does not add to or alter the embedded JSON or a --json sidecar. The pack CSS, report data, and runtime remain embedded in the single offline HTML file.

The named packs are palette-inspired alternatives, not official brand assets or claims of affiliation or endorsement, and they contain no company or product logos. Each pack is checked against the project's declared WCAG text and essential-graphics contrast pairs. Text labels and other non-color cues continue to communicate state, and reviewed print colors keep reports legible when printed.

What's in the output

Every report has two base top-level views:

  1. Catalog — a searchable, filterable, sortable table of every component. Click a row to slide out a detail panel with description, properties, references, and anatomy.
  2. Reference graph — a force-directed view of every component and the edges between them; small implementations (under 20 components) use a static radial layout instead. Hover dims unrelated nodes; click opens the same detail panel; drag pins; pan/zoom.

Segment anatomy and calculated-metric anatomy are contextual detail content, not separate navigation destinations. They open from the Catalog detail panel. Segment anatomy renders nested containers and references; calculated-metric anatomy renders operations, operands, and metric references.

At most one conditional top-level view is added. With --compare-to, a Changes view appears, listing components added, removed, and modified relative to a baseline snapshot, with field-level before/after detail.

With --trend on a snapshot directory, a Trend view appears: sparkline charts of descriptive aggregates (component counts, orphans, undocumented components, reference edges) across the directory's snapshots, plus a per-interval change log. The window is capped at the 60 most recent snapshots.

A trend directory must hold snapshots of a single implementation. If it mixes CJA and AA snapshots, pass --platform cja|aa to select one (or point at a single-platform directory); without it the run stops rather than guess. If it mixes data views or report suites, the run stops as well. This mirrors --compare-to, which refuses both a platform and an instance mismatch, so neither view ever diffs unrelated inventories. To compare or chart across different data views or report suites on purpose (for example staging versus prod drift), pass --allow-instance-mismatch; the run then proceeds with a warning. Platform mismatches are always rejected. The report shown alongside the trend is the newest usable snapshot in the directory.

  • Restorable report links — the catalog's filters, sort, view, and open detail panel are encoded in the URL hash. Within an authorized report location, copy the address bar to restore the same filtered view.

Performance budget

The output is CI-gated against the budgets in docs/PERFORMANCE.md. Build time and HTML size are enforced at every published tier (100 / 500 / 1,000 / 2,000 components). Browser-measured budgets are enforced at the 1,000-component tier (initial render < 1s, filter/search < 150ms) and the 2,000-component tier (< 2s, < 300ms), plus a 700ms cap on the graph view's main-thread block. These guarantees cover up to 8,000 reference edges; denser valid reports use an explicit graph opt-in and sit outside the published size/latency envelope. Functional browser tests cover Chromium and WebKit. A separate Chromium-only performance gate measures all four component tiers; this is not a timing guarantee for every branded browser.

Troubleshooting

Symptom What to do
cja_auto_sdr or aa_auto_sdr is not found Install the matching upstream generator and make sure its executable is on PATH, or use a saved snapshot instead.
The generator reports an authentication or access failure Follow its upstream configuration instructions and verify the account can read the requested data view or report suite. sdr-visualizer does not manage generator credentials.
Live generation reaches the 600-second timeout Run the generator directly to diagnose service or inventory latency, save a completed snapshot, then pass that file to sdr-visualizer.
A file is reported as an unknown or ambiguous platform Pass a known CJA or AA snapshot, or use --platform cja / --platform aa when the file is valid but detection is ambiguous.
A trend run rejects a mixed directory Separate CJA from AA and different implementation IDs. --platform can select one platform; --allow-instance-mismatch is only for an intentional cross-instance comparison.
A large report withholds the graph Use the report's explicit graph opt-in after considering the browser cost, or set an intentional --max-graph-nodes threshold when generating it.
The HTML does not open automatically sdr-visualizer writes the file but does not launch a browser. Open the reported output path in a current browser.

Exit 0 means the report was generated. Exit 1 means a runtime failure such as an output-write error. Exit 3 means the input or invocation was invalid, including generator failures and timeouts. Exit 2 is not used.

Before sharing a snapshot, JSON sidecar, report, terminal output, or bug reproduction, redact customer names, component content, IDs, owners, source paths, credentials, and other organization-sensitive data. Prefer a minimal synthetic reproduction in a public issue.

Stability

From 1.0.0, semantic versioning covers the surface below. Anything not listed is internal and may change in any release.

Catalog CLI (sdr-visualizer). The argument set: the positional path (snapshot file, snapshot directory, or - for stdin), --dataview, --rsid, --platform, --at, --compare-to, --trend, --allow-instance-mismatch, --output, --title, --color-pack, --exclude-orphans, --max-graph-nodes, --json, --quiet, --version. Removing or repurposing any of these is a major bump; adding flags is a minor one.

Catalog exit codes. 0 success, 1 runtime error, 3 invalid input. 2 is never used.

The catalog data payload. The JSON embedded in every catalog report and the --json sidecar share one schema, published at docs/payload-schema.json (JSON Schema 2020-12) and validated in CI against every payload shape produced by the bundled fixtures. Removing or retyping a field is major; adding optional fields is minor. The segment_trees / formula_trees node internals are documented in the schema as loosely specified. Current-generator and private-corpus validation is a separate, recorded release gate; see docs/RELEASING.md.

CJA lineage. Starting with 1.1.0, cja-lineage adds a separate CJA-only command. Its documented arguments and exit codes are described in the lineage guide. Its embedded payload and Python modules are internal and do not extend the catalog schema or JSON sidecar contract.

Performance budgets. The tier table above is a guarantee, not a goal: loosening a budget is a breaking change; tightening one is minor.

Warnings (snapshot generator newer than the tested version; 5,000+ component reports) are informational and never make a valid snapshot fail.

Develop

Requires Python 3.11+ and uv.

uv sync                # Set up environment
uv run pytest          # Run tests (auto-generates the large fixture on first run)
uv run ruff check      # Lint
uv run ruff format     # Auto-format

uv run python scripts/generate_examples.py   # Regenerate examples/
uv run python scripts/check_color_pack_parity.py \\
  --visualizer-sha <candidate-commit-sha> \\
  --grader-root ../sdr-grader --grader-sha <linked-grader-commit-sha>
uv run python scripts/perf_check.py          # Run the perf gate
uv run python scripts/check_markdown_links.py
uv run python scripts/check_workflow_policy.py
uv build --out-dir dist/packages
uv run python scripts/package_smoke_check.py dist/packages/

See also

Documentation

Community

Contributions are welcome within the project's intentionally narrow scope. Read CONTRIBUTING.md before opening a pull request. Report security issues privately as described in SECURITY.md; do not put vulnerabilities or customer snapshot data in a public issue. Participation is governed by the CODE_OF_CONDUCT.md.

License

MIT — see LICENSE. The output bundles D3 v7, vendored under the ISC license; see THIRD_PARTY_LICENSES for the full notice.

Metadata

Release files for sdr-visualizer 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sdr-visualizer 1.1.0
File Size Uploaded
sdr_visualizer-1.1.0.tar.gz 401.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sdr-visualizer 1.1.0
File Interpreter ABI Platform
sdr_visualizer-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 627.7 kB

Release files / sdr_visualizer-1.1.0.tar.gz

Download URL sdr_visualizer-1.1.0.tar.gz
Size 401.0 kB
Tags Source
SHA-256 checksum
How to use checksums
65ec6672b09c6ba6b71542a4a1531b6d6e60d064a02eb90fa61a0681ce17023c
BLAKE2b-256 checksum
How to use checksums
17d8aea2475852859838f7c9c9da7528423cec926e266eebf79cbba16284121c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 7, 2026.

Transparency log

Release files / sdr_visualizer-1.1.0-py3-none-any.whl

Download URL sdr_visualizer-1.1.0-py3-none-any.whl
Size 226.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a8263610e0874505465a23fd3143df3ffebeecf298a7bde06fc723674116f8ca
BLAKE2b-256 checksum
How to use checksums
c31f6370d3bf30093873784c5aefac082ed502cd06efdcab0afcd0587a234fdd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 7, 2026.

Transparency log

Release history Release notifications | RSS feed

1.2.3

2 release files

1.2.2

2 release files

1.2.1

2 release files

1.2.0

2 release files

1.1.7

2 release files

1.1.6

2 release files

1.1.5

2 release files

1.1.4

2 release files

1.1.3

2 release files

1.1.2

2 release files

1.1.1

2 release files

This release

1.1.0 This release

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.6.0

2 release 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