Empirical resource estimation for ticket-bound URI processes. The package measures real process trees and learns conservative scheduling envelopes from append-only history. Runtime ownership remains in semcod; Subactor retains authority to decide whether a Process URI may execute.

• wall-clock duration and exit outcome;
• user/system CPU time and effective CPU cores;
• peak aggregate RSS for the process tree;
• read/write bytes where the operating system permits access;
• maximum process count, host capacity profile and sample count.

Raw command arguments, environment values, stdout, stderr and secret material are never persisted. URI query strings and fragments are removed before a URI is stored or used as the statistical key. Only the program name and an argv SHA-256 fingerprint are retained.

python -m pip install -e .

estimation run \
  --process-uri 'testql://project/suite/query/run' \
  --ticket PLF-1234 \
  --store ~/.local/state/semcod-estimation/process-samples.jsonl \
  --events ~/.local/state/semcod-estimation/process-events.jsonl \
  -- python -m pytest -q

The command's exit code is returned by estimation. Failed runs remain in history and affect success_rate, but resource percentiles are based on successful samples so an immediate startup failure does not look artificially cheap.

estimation observe \
  --pid 12345 \
  --duration 30 \
  --process-uri 'control://automation/watchdog/command/run' \
  --ticket PLF-1234

Observation is bounded by duration and does not signal, restart or otherwise control the target process.

estimation validate --store ~/.local/state/semcod-estimation/process-samples.jsonl
estimation report --store ~/.local/state/semcod-estimation/process-samples.jsonl
estimation estimate \
  --store ~/.local/state/semcod-estimation/process-samples.jsonl \
  --process-uri 'testql://project/suite/query/run' \
  --quantity 20 \
  --parallelism 4

Reports expose p50, p90, mean, standard deviation, success rate and confidence. Confidence is none, low, medium or high based on successful sample count. Workload estimates multiply conservative p90 values by quantity and parallelism to support queue admission and host-capacity planning.

1. Subactor resolves a ticket and authorized Process URI.
2. The executor wraps the actual command with estimation run, or observes a service PID with estimation observe.
3. Samples are appended to the node-local state store; a parallel hash-chained wellmanifest.logs/event/v1 stream records the measurement outcome.
4. The scheduler queries estimation://history/query/estimate before admitting similar work and compares p90 CPU, RSS and duration with host capacity.
5. Missing or low-confidence history is a planning uncertainty, never implicit authorization to run a process.

The package adopts wellmanifest/new-project and wellmanifest/logs.