ccpm-scheduler 0.6.0

Deterministic Critical Chain Project Management (CCPM) scheduler: validate a project network, build a resource-leveled buffered schedule, verify it, and plot a buffer-aware Gantt chart. Library + CLI, designed for both humans and AI agents.

ccpm-scheduler

Deterministic Critical Chain Project Management (CCPM) scheduling as a Python library and CLI — for humans, for AI agents, and for embedding in other tools.

Give it a project network (tasks, dependencies, duration estimates, resource assignments) plus resource availability, and it produces a proper Critical Chain schedule: resource-leveled, scheduled as late as possible, protected by a project buffer and feeding buffers, with a buffer-aware Gantt chart.

Same input always yields byte-identical output — the scheduler is fully deterministic, so it is scriptable, diffable, and testable.

Status

Phases 1–2 complete: extracted behavior-preserving from the ccpm-scheduler Claude skill (guarded by byte-identical golden tests), with a typed model, library API, and the ccpm-scheduler CLI. Coming next (see PLAN.md): the Claude skill drives this CLI (Phase 3), and the our-planner GUI imports the library (Phase 4).

CLI

Built for humans and AI agents: exit codes are a contract (0 = ok, 1 = problems found with the report still emitted, 2 = usage error), --json prints a machine-readable document, there are no interactive prompts, and the same input always produces byte-identical output.

ccpm-scheduler validate tasks.csv resources.csv calendar.csv
ccpm-scheduler build tasks.csv resources.csv --calendar calendar.csv \
    --out-dir plan --title "Website relaunch"
ccpm-scheduler check plan/schedule.csv tasks.csv resources.csv calendar.csv
ccpm-scheduler plot plan/schedule.csv plan/gantt.png --resources resources.csv
ccpm-scheduler graph plan/schedule.csv plan/project-network.html \
    --tasks tasks.csv --title "Website relaunch"   # interactive dependency graph
ccpm-scheduler schema network     # JSON Schema of the input format

graph writes a standalone interactive network view of the schedule (vis-network from a CDN, data embedded — no build step or server): open the HTML in any browser to zoom, pan, drag nodes, toggle hierarchical/free layout, and click a node to inspect its schedule, resources, and links. The Gantt shows when; the graph shows why — colors match the Gantt (critical chain firebrick, feeding chains colored, buffers gold/khaki with dashed attachment edges). Pass --tasks tasks.csv to show each task's realistic estimate next to its scheduled (optimal) duration — the optimal/realistic balance is exactly what teams debate in front of this view.

The network input is either CSV files or a single JSON document (a path, or - for stdin) in the exchange format:

echo '{"tasks": [...], "resources": [...]}' | ccpm-scheduler build - --json

build validates first: on a broken network you get the same coded issue report as validate (exit 1) and no files. --json reports carry stable machine-readable issue codes (E_CYCLE, E_NO_RESOURCE, E_FRACTIONAL_ALLOCATION, …) plus the offending task/resource ids; ccpm-scheduler schema report describes the shape.

Library API

from ccpm_scheduler import (load_network, validate_network,
                            build_schedule, check_schedule, plot_schedule)

network = load_network("tasks.csv", "resources.csv", "calendar.csv")
report = validate_network(network)   # ValidationReport with coded Issues
if report.ok:
    result = build_schedule(network, title="My project")
    assert check_schedule(result.schedule, network).ok
    plot_schedule(result.schedule, "gantt.png",
                  resources=network.resources, calendar=network.calendar)
    print(result.stats.status_line("My project"))

Validation issues carry machine-readable codes (E_CYCLE, E_NO_RESOURCE, E_FRACTIONAL_ALLOCATION, …) plus the offending task/resource ids, so an embedding tool can annotate its own UI. Networks also load from a JSON exchange format (network_from_json / network_to_json) that accepts structured predecessor links ({"id": 2, "type": "SS", "lag": 2}), numeric ids, and per-resource allocation maps — the shape GUI tools naturally emit. Fractional allocations and capacities are rejected with precise errors in v1 (whole resources only).

(python -m ccpm_scheduler is equivalent to the ccpm-scheduler command; the individual stages also remain runnable as python -m ccpm_scheduler.validate etc. with their original argument conventions.)

Input contract

tasks.csv — id, name, realistic_duration, optimal_duration (optional), predecessor_ids, resource_ids, url (optional)

• realistic_duration: estimate with safety included; optimal_duration: padding-free estimate. If optimal_duration is missing, the classic 50% cut is applied. (Legacy names duration_safe/duration_aggressive are accepted.)
• predecessor_ids: semicolon-separated links — bare id = Finish-to-Start, typed links with lag supported: A:SS+2, A:FF, A:SF. Buffer rows in the output use the CCPM-specific :PB/:FB link types.
• resource_ids: semicolon-separated; every task needs at least one resource.

resources.csv — id, name, capacity, url (optional); capacity defaults to 1.

calendar.csv (optional) — resource_id, from, to, capacity: overrides a resource's capacity on the half-open day range [from, to); capacity = 0 means unavailable. Tasks execute contiguously — they never pause across an outage.

Durations are working days; the schedule uses integer day offsets from day 0.

Output

• schedule.csv — tasks and buffers with start/finish, chain membership (critical, feeding-n), and link notation (buffers attached via :PB/:FB)
• summary.md — critical chain, project duration, buffer sizes, promised completion date (= end of the project buffer)
• gantt.png — critical chain, feeding chains, buffers, dependency arrows, and a resource-utilization panel on the same time axis
• project-network.html (via graph) — standalone interactive dependency graph of the same schedule, for exploring the network structure the Gantt can't show

Development

uv sync
uv run pytest

The golden tests in tests/ assert byte-identical schedule.csv/summary.md for five reference projects. Regenerate goldens only for deliberate, reviewed behavior changes.

License

Dual-licensed under either of MIT or Apache License 2.0, at your option.