gstack/scripts/resolvers/tasks-section.ts

169 lines
8.0 KiB
TypeScript

/**
* Resolvers for the Implementation Tasks emission (#1454).
*
* {{TASKS_SECTION_EMIT:<phase>}} — per-skill task emission + JSONL write
* {{TASKS_SECTION_AGGREGATE}} — autoplan aggregation across all phases
*
* Schema for the JSONL artifact lives in scripts/task-emission-schema.ts.
*/
import type { TemplateContext, ResolverFn } from './types';
const VALID_PHASES = new Set(['ceo-review', 'design-review', 'eng-review', 'devex-review']);
export const generateTasksSectionEmit: ResolverFn = (_ctx: TemplateContext, args?: string[]) => {
const phase = args?.[0];
if (!phase || !VALID_PHASES.has(phase)) {
throw new Error(`TASKS_SECTION_EMIT requires one of ${[...VALID_PHASES].join(', ')} — got ${phase}`);
}
return `## Implementation Tasks
Before closing this review, synthesize the findings above into a flat list of
build-actionable tasks. Each task derives from a specific finding — no padding.
Emit the markdown section AND write a JSONL artifact that \`/autoplan\` can
aggregate across phases.
### Markdown section (always emit)
\`\`\`markdown
## Implementation Tasks
Synthesized from this review's findings. Each task derives from a specific
finding above. Run with Claude Code or Codex; checkbox as you ship.
- [ ] **T1 (P1, human: ~2h / CC: ~15min)** — <component> — <imperative title>
- Surfaced by: <section name> — <specific finding text or line reference>
- Files: <paths to touch>
- Verify: <test command or manual check>
- [ ] **T2 (P2, human: ~30min / CC: ~5min)** — ...
\`\`\`
Rules:
- P1 blocks ship; P2 should land same branch; P3 is a follow-up TODO.
- If a finding produced no actionable task, do not invent one.
- If a section had zero findings, emit \`_No new tasks from <section>._\`
- Effort uses the AI-compression table from CLAUDE.md.
### JSONL artifact (always write, even if zero tasks)
\`/autoplan\` reads this file to aggregate across phases. Build each line with
\`jq -nc\` so titles and source findings containing quotes, newlines, or
backslashes serialize cleanly — never use hand-rolled \`echo\` / \`printf\`.
\`\`\`bash
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
TASKS_DIR="\${HOME}/.gstack/projects/\${SLUG:-unknown}"
mkdir -p "$TASKS_DIR"
TASKS_FILE="$TASKS_DIR/tasks-${phase}-$(date +%Y%m%d-%H%M%S).jsonl"
COMMIT=$(git rev-parse HEAD 2>/dev/null || echo unknown)
BRANCH=$(git branch --show-current 2>/dev/null || echo unknown)
RUN_ID="$(date -u +%Y%m%dT%H%M%SZ)-$$"
# Repeat ONE jq invocation per task identified during this review.
# Substitute the placeholders inline with shell variables you set per task:
# TASK_ID (T1, T2, ...), PRIORITY (P1/P2/P3), COMPONENT, TITLE,
# SOURCE_FINDING, EFFORT_HUMAN, EFFORT_CC, FILES_JSON (a JSON array literal
# like '["browse/src/sanitize.ts","browse/src/server.ts"]').
jq -nc \\
--arg phase '${phase}' \\
--arg run_id "$RUN_ID" \\
--arg branch "$BRANCH" \\
--arg commit "$COMMIT" \\
--arg id "$TASK_ID" \\
--arg priority "$PRIORITY" \\
--arg component "$COMPONENT" \\
--arg effort_human "$EFFORT_HUMAN" \\
--arg effort_cc "$EFFORT_CC" \\
--arg title "$TITLE" \\
--arg source_finding "$SOURCE_FINDING" \\
--argjson files "$FILES_JSON" \\
'{phase:$phase, run_id:$run_id, branch:$branch, commit:$commit, id:$id, priority:$priority, component:$component, files:$files, effort_human:$effort_human, effort_cc:$effort_cc, title:$title, source_finding:$source_finding}' \\
>> "$TASKS_FILE"
\`\`\`
If \`jq\` is not installed, fall back to skipping the JSONL write and warn
the user to install jq for autoplan aggregation. Never hand-roll JSONL.
If zero tasks were identified in this review, still touch the JSONL file
(\`: > "$TASKS_FILE"\`) so the aggregator sees that the phase produced output
this run (an empty file means "ran, no findings" — distinct from "didn't run").
`;
};
export const generateTasksSectionAggregate: ResolverFn = (_ctx: TemplateContext) => {
return `## Implementation Tasks aggregator
Before rendering the Final Approval Gate output block below, aggregate the
per-phase task lists each review skill wrote.
\`\`\`bash
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
TASKS_DIR="\${HOME}/.gstack/projects/\${SLUG:-unknown}"
BRANCH=$(git branch --show-current 2>/dev/null || echo unknown)
# Commit window: last 5 commits on this branch. Drops stale standalone reviews.
COMMITS_RECENT=$(git log --format=%H -n 5 2>/dev/null | tr '\\n' '|' | sed 's/|$//')
AGGREGATED_TASKS=""
if command -v jq >/dev/null 2>&1; then
# Collect entries from all 4 phases, scoped to current branch + commit window.
# For each phase, keep only the latest run_id. Within the surviving set,
# dedupe by (component, sorted(files), title) — exact match only.
# Sort by priority (P1 > P2 > P3) then by phase order.
ALL_JSONL=$(mktemp -t autoplan-tasks.XXXXXXXX)
for phase in ceo-review design-review eng-review devex-review; do
# Use find instead of glob expansion — zsh nomatch errors otherwise when
# a phase produced no JSONL files. Sorting by name keeps the order stable.
while IFS= read -r f; do
[ -f "$f" ] || continue
# Filter to current branch + recent commits, then keep records for the
# latest run_id only. (Single phase may have multiple files if the user
# re-ran the review; aggregator takes the newest.)
jq -c --arg branch "$BRANCH" --arg commits "$COMMITS_RECENT" \\
'select(.branch == $branch and ($commits | split("|") | index(.commit) != null))' \\
"$f" 2>/dev/null >> "$ALL_JSONL" || true
done < <(find "$TASKS_DIR" -maxdepth 1 -name "tasks-$phase-*.jsonl" 2>/dev/null | sort)
# Reduce to latest run_id per phase
if [ -s "$ALL_JSONL" ]; then
jq -sc --arg phase "$phase" \\
'[.[] | select(.phase == $phase)] | (max_by(.run_id) // null) as $latest_run | if $latest_run then map(select(.run_id == $latest_run.run_id)) else [] end | .[]' \\
"$ALL_JSONL" > "$ALL_JSONL.phase" 2>/dev/null || true
# Replace with reduced version for this phase, accumulating others
jq -c --arg phase "$phase" 'select(.phase != $phase)' "$ALL_JSONL" > "$ALL_JSONL.other" 2>/dev/null || true
cat "$ALL_JSONL.other" "$ALL_JSONL.phase" > "$ALL_JSONL"
rm -f "$ALL_JSONL.phase" "$ALL_JSONL.other"
fi
done
# Exact-match dedup by (component, sorted(files), title). Non-matches kept
# separately with a possible-duplicate marker injected by the renderer.
AGGREGATED_TASKS=$(jq -s \\
'group_by([.component, (.files | sort), .title])
| map(
# Take the highest-priority entry per group; tie-break by phase order
sort_by({P1:0,P2:1,P3:2}[.priority] // 99, {"ceo-review":0,"design-review":1,"eng-review":2,"devex-review":3}[.phase] // 99) | .[0]
)
| sort_by({P1:0,P2:1,P3:2}[.priority] // 99, {"ceo-review":0,"design-review":1,"eng-review":2,"devex-review":3}[.phase] // 99)
| if length == 0 then "_No actionable tasks emitted from any phase._" else
map("- [ ] **\\(.id) (\\(.priority), human: \\(.effort_human) / CC: \\(.effort_cc)) — \\(.component)** — \\(.title)\\n - Surfaced by: \\(.phase) — \\(.source_finding)\\n - Files: \\(.files | join(", "))") | join("\\n")
end' "$ALL_JSONL" 2>/dev/null | sed 's/^"//;s/"$//;s/\\\\n/\\n/g')
rm -f "$ALL_JSONL"
else
AGGREGATED_TASKS="_jq not installed — install jq to aggregate per-phase task lists. Skipping._"
fi
\`\`\`
Inside the Final Approval Gate output template below, render the aggregated
markdown in the \`### Implementation Tasks (aggregated across phases)\` section.
Substitute the contents of \`$AGGREGATED_TASKS\` (the bash variable set above)
before printing the message to the user. This is NOT a template placeholder
— the agent does the substitution at runtime, not gen-skill-docs at build time.
If \`$AGGREGATED_TASKS\` is empty (no JSONL files found — none of the review
skills ran in this session), render:
\`_No per-phase task lists found in $TASKS_DIR for branch $BRANCH. Each review
skill writes its own; if you ran one of them but no list appears here, check
that jq is installed and the tasks-<phase>-*.jsonl files exist._\`
`;
};