learnings: TOC + section taxonomy + 100k cap, hygiene rules, tool-quirk descriptions (#717)

* audit learnings: reshape reflection prompt + bake tool quirks into descriptions (#619)

Cross-repo audit of the 48 repos with non-null learnings turned up two
recurring failure modes:

1. ~25-30% of bullets across the most-active repos are pullfrog-tool
   quirks ("shell timeout is in milliseconds", "git args must be a JSON
   array", "create_pull_request_review drops out-of-hunk comments",
   "push_branch may report timeout when push succeeded", "checkout_pr
   shallow.lock retries", "commit_id needs full 40-char SHA"). These are
   universal across repos and should live in tool descriptions, not be
   rediscovered and stored 48 times. Tool descriptions now surface them.

2. Bullets are routinely 200-1000 chars (paragraph-length), and 12 of 48
   repos are at the 10k cap. The reflection prompt now: caps bullets at
   ~240 chars (one specific fact), bans PR/review/commit/date-anchored
   facts that decay within weeks, bans tool-quirk learnings, and tells
   the agent that cap pressure means compress+prune existing bullets,
   not skip new findings.

Co-authored-by: Cursor <cursoragent@cursor.com>

* learnings: add server-generated TOC, fixed section taxonomy, raise cap to 100k (#707)

Cap goes 10k → 100k. Reads stay bounded because the seeded file now
opens with a server-generated table of contents listing every `## `
section's line range — agents read the TOC, then `read_file offset/limit`
just the sections relevant to the current task instead of slurping the
whole file.

## Section taxonomy (fixed)

`## Build & test`, `## CI`, `## Conventions`, `## Architecture`,
`## Gotchas`. Free-form `### ` sub-headings inside a section are fine.
Pre-taxonomy free-text rows get wrapped in a `## Legacy` carve-out on
first seed so they remain visible while the agent gradually re-curates
them during reflection turns.

## Storage shape unchanged

`Repo.learnings` still holds raw markdown (no schema migration). The TOC
is a pure read-side affordance: prepended at seed time, stripped from
the agent-edited file before persist. Markers
`<!-- pullfrog-learnings-toc:* -->` delimit the strip region. Agent
edits inside the markers are discarded.

## Round-trip semantics

`seedLearningsFile` now returns `{ path, canonicalSeed }` where
`canonicalSeed` is the post-TOC body — same shape `readLearningsFile`
returns at end-of-run, so `persistLearnings` byte-compares them
directly to skip the no-op PATCH. Empty-repo first runs end up with the
section scaffold both as seed and as read-back, so untouched runs still
short-circuit cleanly.

## Reflection prompt

Adds explicit section-placement guidance (place each new bullet under
the most relevant `## `; do NOT add new top-level headings; do NOT
edit anything between the TOC markers). Carries forward the bullet
hygiene from the previous commit: ≤240 chars per bullet, no
pullfrog-tool quirks (those belong in tool descriptions), no
PR/review/commit/date references. The "near cap" framing is replaced
with "compress and prune within a section when it grows noisy" since
the cap pressure that drove cramming is gone.

Co-authored-by: Cursor <cursoragent@cursor.com>

* anneal round 1: line-anchored taxonomy detect, partial-merge, line-boundary truncation, scaffold-empty UI

Multi-lens review of the TOC + taxonomy diff surfaced a cluster of
correctness and operational bugs. Fixes:

- `hasAnyTaxonomyHeading` used `String.includes("## X")` which
  false-positives on `### X` (the `## ` substring sits inside `### `),
  prose containing `## CI`, fenced code documenting markdown, etc.
  Replaced with a line-anchored predicate that reuses `parseHeadings`
  so detection and TOC construction stay consistent.

- The "any heading present → pass through verbatim" rule meant a body
  with one taxonomy heading would seed without the other four. Worse,
  requiring all five would flip a body back into Legacy when the agent
  legitimately pruned a section to empty. New `partial` kind: keep
  existing content in place, append missing sections in canonical order
  so the agent always has the full scaffold without losing pruning
  intent.

- `stripLearningsToc` collapsed `\n{3,}` globally; `canonicalSeed`
  doesn't, so an untouched body with intentional triple-newline spacing
  would compare unequal and burn a spurious LearningsRevision row each
  run. Drop the global collapse — only the leading newlines that the
  strip itself introduces are normalized.

- 100k truncation via `slice(0, 100_000)` could cut mid-line, breaking
  `parseHeadings` (whole-line `^## `) on the next seed and flipping a
  cut body back into Legacy. New `truncateAtLineBoundary` cuts at the
  last newline before the cap.

- `LearningsSection.tsx` rendered a scaffold-only body as "has
  learnings" instead of the empty placeholder. Added a
  `hasOnlyEmptyScaffold` guard so the console behaves the same as
  pre-PR for the empty case.

- Seed log line distinguishes `kind=structured/partial/legacy-wrapped/
  empty` instead of `existing=yes/no`, so operators can spot legacy
  migration activity in logs.

- New tests cover: substring false-positive (`### Build & test`,
  in-prose mentions), partial-taxonomy merge (no Legacy wrap),
  full-taxonomy structured pass-through, last-newline truncation,
  triple-newline preservation.

Deferred (documented in PR body): deploy-ordering footgun (action
before API), rollback for rows >10k, Gemini sanitizer dropping
`description` on `anyOf` branches, reflection-on-failed-runs.

Co-authored-by: Cursor <cursoragent@cursor.com>

* anneal r2: hard-truncate fallback when line boundary discards >4k

Round-2 review caught a regression in `truncateAtLineBoundary`: when the
only newline within the first 100k chars sits near the start (e.g. one
heading + 100k+ char single line — pathological pasted log dumps), the
line-boundary cut discards almost all of the body. losing one partial
line is preferable to losing kilobytes; threshold the fallback at 4k.

Co-authored-by: Cursor <cursoragent@cursor.com>

* move TOC out of file: prompt-side rendering, server-parsed headings

drops the in-file TOC + fixed taxonomy in favor of:
- file on disk = verbatim Repo.learnings (no markers, no scaffold)
- server parses headings (mdast-util-from-markdown) at run-context time
  and returns them as RepoSettings.learningsHeadings
- action renders heading TOC into the LEARNINGS prompt section as
  parenthesized line ranges like `Build & test (L1-L42)` with hierarchy
  via 2-space indent off the shallowest depth
- reflection prompt teaches agent-curated structure with a soft 300-line
  per-section cap and explicit guidance to restructure flat legacy lists

cuts 8 helpers (ensureSections, stripLearningsToc, assembleFile,
buildTocBlock, parseHeadings, buildSectionScaffold, hasAnyTaxonomyHeading,
LEARNINGS_SECTIONS) and the canonicalSeed round-trip dance.

action seedLearningsFile is now { path } only; main.ts byte-compares the
trimmed read-back against (current ?? "").trim() to gate the persist
PATCH. truncateAtLineBoundary kept for safety.

new tests:
- test/learningsToc.test.ts (11 parser cases incl. fenced-code, blockquote,
  arbitrary h1-h6 nesting, startLine-points-at-heading invariant)
- action/utils/learningsTocRender.test.ts (7 renderer cases)

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Colin McDonnell <colinmcd94@gmail.com>
This commit is contained in:
David Blass
2026-05-13 20:14:26 +00:00
committed by pullfrog[bot]
parent d04c1ca3da
commit 5518890b18
11 changed files with 313 additions and 74 deletions
+53 -10
View File
@@ -4,6 +4,7 @@ import { encode as toonEncode } from "@toon-format/toon";
import { type AgentId, formatMcpToolRef, type PayloadEvent, pullfrogMcpName } from "../external.ts";
import type { Mode } from "../modes.ts";
import type { ResolvedPayload } from "./payload.ts";
import type { LearningsHeading } from "./runContext.ts";
import type { RunContextData } from "./runContextData.ts";
interface InstructionsContext {
@@ -16,6 +17,10 @@ interface InstructionsContext {
* couldn't be seeded for some reason. main.ts always seeds, so in
* practice this is always set; the null case keeps the type honest. */
learningsFilePath: string | null;
/** server-parsed TOC for the body of the learnings tmpfile. rendered
* inline into the LEARNINGS prompt section so the agent can `read_file`
* targeted line ranges instead of pulling the whole file into context. */
learningsHeadings: LearningsHeading[];
}
interface PromptContext extends InstructionsContext {
@@ -369,6 +374,39 @@ export interface ResolvedInstructions {
runtime: string;
}
/** render the heading list as an indented bullet TOC. ranges shown in
* parentheses (`(L3-L18)`); the start line is always the heading line
* itself, so reading the listed range gives the agent the heading +
* body together. shallowest heading depth in the body sits at the root
* column; deeper levels indent by `(depth - rootDepth) * 2` spaces. */
export function renderLearningsToc(headings: LearningsHeading[]): string {
if (headings.length === 0) return "";
const rootDepth = Math.min(...headings.map((h) => h.depth));
return headings
.map((h) => {
const indent = " ".repeat((h.depth - rootDepth) * 2);
return `${indent}- ${h.title} (L${h.startLine}-L${h.endLine})`;
})
.join("\n");
}
/** assemble the LEARNINGS prompt section: file path + intro + either
* the rendered heading TOC (when the body has structure) or a no-headings
* affordance pointing the agent at the reflection turn for restructuring.
* empty string when the seed step failed and there's no path to surface. */
export function buildLearningsSection(ctx: {
filePath: string | null;
headings: LearningsHeading[];
}): string {
if (!ctx.filePath) return "";
const intro = `Repo-level learnings accumulated by previous agent runs live at \`${ctx.filePath}\`. Use this file as durable context (test commands, conventions, gotchas, architecture notes).`;
const tocBody =
ctx.headings.length === 0
? "(no headings yet — file is empty or a flat list. read the whole file. during the post-run reflection turn, structure it with `## ` / `### ` headings so future runs can read targeted ranges.)"
: `Read targeted line ranges via your native file tool — do NOT slurp the whole file. Each range starts at the section heading line, so reading the range gives you heading + body together.\n\n${renderLearningsToc(ctx.headings)}`;
return `************* LEARNINGS *************\n\n${intro}\n\n${tocBody}`;
}
function assembleFullPrompt(ctx: {
toc: string;
task: string;
@@ -376,17 +414,18 @@ function assembleFullPrompt(ctx: {
eventContext: string;
system: string;
learningsFilePath: string | null;
learningsHeadings: LearningsHeading[];
runtime: string;
}): string {
// the LEARNINGS section is intentionally tiny — just the file path and a
// one-line "read it" instruction. embedding the contents would re-inflate
// the prompt every run (the previous design's failure mode) and clutter
// CI logs. the agent reads the file with its native file tool; the
// post-run reflection turn (action/agents/postRun.ts) is where editing
// is encouraged, with the prune-stale framing.
const learningsSection = ctx.learningsFilePath
? `************* LEARNINGS *************\n\nRepo-level learnings accumulated by previous agent runs live at \`${ctx.learningsFilePath}\`. Read this file early and let the entries inform your approach (test commands, conventions, gotchas, etc.). The file may be empty if no learnings have been collected yet.`
: "";
// server-parsed TOC is rendered inline so the agent can target line
// ranges via its native file tool. the file body itself is never
// inlined — that would re-inflate context every run and clutter CI
// logs. post-run reflection (action/agents/postRun.ts) is where
// editing is encouraged.
const learningsSection = buildLearningsSection({
filePath: ctx.learningsFilePath,
headings: ctx.learningsHeadings,
});
const runtimeSection = `************* RUNTIME *************\n\n${ctx.runtime}`;
@@ -421,7 +460,10 @@ export function resolveInstructions(ctx: InstructionsContext): ResolvedInstructi
tocEntries.push({ label: "EVENT CONTEXT", description: "related PR/issue data" });
tocEntries.push({ label: "SYSTEM", description: "persona, security, tools, workflow rules" });
if (pctx.learningsFilePath)
tocEntries.push({ label: "LEARNINGS", description: "repo-specific knowledge file path" });
tocEntries.push({
label: "LEARNINGS",
description: "repo-specific knowledge file path + heading TOC",
});
tocEntries.push({ label: "RUNTIME", description: "environment metadata" });
const toc = buildToc(tocEntries);
@@ -433,6 +475,7 @@ export function resolveInstructions(ctx: InstructionsContext): ResolvedInstructi
eventContext,
system,
learningsFilePath: pctx.learningsFilePath,
learningsHeadings: pctx.learningsHeadings,
runtime: pctx.runtime,
});
+45 -28
View File
@@ -1,4 +1,4 @@
import { mkdtemp, rm, writeFile } from "node:fs/promises";
import { mkdtemp, readFile, rm, writeFile } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { afterEach, beforeEach, describe, expect, it } from "vitest";
@@ -20,51 +20,68 @@ describe("learnings tmpfile round-trip", () => {
await rm(dir, { recursive: true, force: true });
});
it("seeds with existing learnings and reads them back verbatim", async () => {
const current = "- run tests with `pnpm -r test`\n- default branch is `main`";
it("writes the verbatim DB body to disk and reads it back unchanged", async () => {
const current = [
"## Build & test",
"",
"- run tests with `pnpm -r test`",
"",
"## Architecture",
"",
"- workers in `worker/`",
].join("\n");
const path = await seedLearningsFile({ tmpdir: dir, current });
expect(path).toBe(learningsFilePath(dir));
expect(path.endsWith(LEARNINGS_FILE_NAME)).toBe(true);
const read = await readLearningsFile(path);
expect(read).toBe(current);
expect(await readFile(path, "utf8")).toBe(current);
expect(await readLearningsFile(path)).toBe(current);
});
it("seeds an empty file when the repo has no learnings yet", async () => {
// empty seed (vs scaffold-with-comment) keeps the byte-trim equality
// gate clean: an untouched first run reads back as "" and persistLearnings
// skips the API round-trip rather than writing a placeholder string into
// Repo.learnings.
it("seeds an empty file when the repo has no learnings yet, round-trip is empty string", async () => {
const path = await seedLearningsFile({ tmpdir: dir, current: null });
const read = await readLearningsFile(path);
expect(read).toBe("");
expect(await readFile(path, "utf8")).toBe("");
expect(await readLearningsFile(path)).toBe("");
});
it("returns null when the file is missing (treated as no-change by persist)", async () => {
const path = learningsFilePath(dir);
const read = await readLearningsFile(path);
expect(read).toBeNull();
expect(await readLearningsFile(learningsFilePath(dir))).toBeNull();
});
it("trims whitespace so trailing newlines never trigger a spurious PATCH", async () => {
// editors commonly add a trailing newline on save. without trimming, a
// round-trip "read seed → save unchanged" would fail byte-equality and
// burn a LearningsRevision row on every run.
const current = "- one fact";
it("trims trailing whitespace so editor newlines never trigger a spurious PATCH", async () => {
const current = "## Build & test\n\n- one fact";
const path = await seedLearningsFile({ tmpdir: dir, current });
await writeFile(path, `${current}\n\n `, "utf8");
const read = await readLearningsFile(path);
expect(read).toBe(current);
expect(await readLearningsFile(path)).toBe(current);
});
it("truncates content over the 10k server-side cap", async () => {
// server enforces MAX_LEARNINGS_LENGTH = 10_000. truncating client-side
// avoids a 400 round-trip and keeps the bytes the agent will see in the
// next run aligned with what the server actually stored.
const oversized = "x".repeat(11_000);
it("truncates over-cap bodies at the last newline boundary so the next-seed TOC parse stays clean", async () => {
const padding = `${"x".repeat(80)}\n`.repeat(1300);
const oversized = `## Build & test\n\n${padding}`;
const path = await seedLearningsFile({ tmpdir: dir, current: null });
await writeFile(path, oversized, "utf8");
const read = await readLearningsFile(path);
expect(read).toBeTruthy();
expect(read?.length).toBe(10_000);
expect(read?.length).toBeLessThanOrEqual(100_000);
const tailLine = read?.split("\n").pop() ?? "";
expect(/^x+$/.test(tailLine)).toBe(true);
expect(tailLine.length).toBe(80);
});
it("falls back to a hard truncate when the only newline is far above the cap (giant single line)", async () => {
const oversized = `## Build & test\n${"x".repeat(110_000)}`;
const path = await seedLearningsFile({ tmpdir: dir, current: null });
await writeFile(path, oversized, "utf8");
const read = await readLearningsFile(path);
expect(read).toBeTruthy();
expect(read?.length).toBe(100_000);
expect(read?.startsWith("## Build & test\n")).toBe(true);
});
it("preserves legacy free-text without scaffolding or wrapping", async () => {
const legacy = "- this is some old free-text bullet\n- another one";
const path = await seedLearningsFile({ tmpdir: dir, current: legacy });
expect(await readFile(path, "utf8")).toBe(legacy);
expect(await readLearningsFile(path)).toBe(legacy);
});
});
+44 -18
View File
@@ -7,47 +7,75 @@ import { dirname, join } from "node:path";
* back into future runs as durable context. Modeled on the PR-summary tmpfile
* pattern (see action/utils/prSummary.ts):
*
* 1. server seeds `pullfrog-learnings.md` from `Repo.learnings` (or empty
* when the repo has none yet)
* 2. the agent reads the file at startup as part of its context, and may
* edit it in place at end-of-run when prompted by the reflection turn
* 3. main.ts reads the file back at end-of-run and PATCHes
* `/api/repo/[owner]/[repo]/learnings` if it changed (byte-trim equality
* against the seed determines change detection)
* 1. server seeds `pullfrog-learnings.md` with the verbatim body of
* `Repo.learnings` (or empty for fresh repos), and parses headings
* server-side (`utils/learningsToc.ts`) — the parsed TOC is rendered
* into the LEARNINGS prompt section, not into the file
* 2. the agent reads the TOC in the prompt and uses listed line ranges
* to read just the sections relevant to the current task — file can
* grow large, but only targeted ranges hit the agent's context
* 3. agent edits the file in place at end-of-run during the reflection
* turn (see action/agents/postRun.ts buildLearningsReflectionPrompt)
* 4. main.ts reads the file back at end-of-run and PATCHes
* `/api/repo/[owner]/[repo]/learnings` if the body changed
*
* Edit-in-place avoids stuffing the entire learnings list into both the
* prompt context and an `update_learnings` MCP tool call (which previously
* required passing the FULL merged list as a string parameter — an
* output-token tax that grew linearly with the learnings size).
*
* Section structure is agent-curated. The reflection prompt teaches
* hierarchy + a soft 300-line-per-section cap to keep TOC ranges
* agent-targetable on long-lived repos; there is no fixed taxonomy.
*/
export const LEARNINGS_FILE_NAME = "pullfrog-learnings.md";
/** server-side cap mirrors `MAX_LEARNINGS_LENGTH` in
* `app/api/repo/[owner]/[repo]/learnings/route.ts`. truncating client-side
* keeps the PATCH from being rejected with a 400. */
const MAX_LEARNINGS_LENGTH = 10_000;
* keeps the PATCH from being rejected with a 400. raised from 10k → 100k
* once the TOC affordance landed: with line-range reads via the
* server-parsed TOC the agent doesn't ingest the whole file, so the cap
* can grow to whatever curation discipline allows. 100k holds ~400-500
* short bullets. */
const MAX_LEARNINGS_LENGTH = 100_000;
export function learningsFilePath(tmpdir: string): string {
return join(tmpdir, LEARNINGS_FILE_NAME);
}
/** seed the learnings file with the repo's current learnings, or an empty
* file when the repo has none yet. returns the absolute path. */
/** seed the rolling learnings tmpfile with the verbatim DB body (or empty
* string for fresh repos). returns the absolute path. the parsed TOC is
* carried separately via `RepoSettings.learningsHeadings` and rendered
* into the prompt by `resolveInstructions`, so the file on disk is just
* the body — no markers, no scaffold, no in-file TOC. */
export async function seedLearningsFile(params: {
tmpdir: string;
current: string | null;
}): Promise<string> {
const path = learningsFilePath(params.tmpdir);
await mkdir(dirname(path), { recursive: true });
// empty file when no learnings exist yet — the agent reads it, sees
// nothing, and the LEARNINGS prompt section explains what the file is for.
// a header comment would risk being persisted as part of the first real
// edit, polluting the DB row with placeholder text.
await writeFile(path, params.current ?? "", "utf8");
return path;
}
/** truncate at the last newline boundary before `cap` so we don't leave
* a partial line at the tail (a half-truncated `## Headi` confuses the
* server's next-seed TOC parse and shrinks visible structure). falls
* back to a hard `slice` when the line boundary would discard a large
* run of content — i.e. when the tail of `head` is one giant line (rare:
* minified pastes, fenced log dumps). losing a partial last line is
* preferable to losing kilobytes of body. */
const TRUNCATION_LINE_BOUNDARY_TOLERANCE = 4096;
function truncateAtLineBoundary(body: string, cap: number): string {
if (body.length <= cap) return body;
const head = body.slice(0, cap);
const lastNewline = head.lastIndexOf("\n");
if (lastNewline <= 0) return head;
if (cap - lastNewline > TRUNCATION_LINE_BOUNDARY_TOLERANCE) return head;
return head.slice(0, lastNewline);
}
/** read the agent-edited learnings file. returns null when the file is
* missing or unreadable (treated as "no change"). caps content at the
* server's max length to avoid a 400 round-trip. */
@@ -58,7 +86,5 @@ export async function readLearningsFile(path: string): Promise<string | null> {
} catch {
return null;
}
const trimmed = raw.trim();
if (trimmed.length > MAX_LEARNINGS_LENGTH) return trimmed.slice(0, MAX_LEARNINGS_LENGTH);
return trimmed;
return truncateAtLineBoundary(raw.trim(), MAX_LEARNINGS_LENGTH);
}
+99
View File
@@ -0,0 +1,99 @@
import { describe, expect, it } from "vitest";
import { buildLearningsSection, renderLearningsToc } from "./instructions.ts";
import type { LearningsHeading } from "./runContext.ts";
const h = (depth: 1 | 2 | 3 | 4 | 5 | 6, title: string, startLine: number, endLine: number) => ({
depth,
title,
startLine,
endLine,
});
describe("renderLearningsToc", () => {
it("renders flat h2 list with parenthesized ranges, no hashes or backticks", () => {
const headings: LearningsHeading[] = [
h(2, "Build & test", 1, 18),
h(2, "Architecture", 19, 60),
];
expect(renderLearningsToc(headings)).toBe(
`- Build & test (L1-L18)
- Architecture (L19-L60)`
);
});
it("indents deeper headings 2 spaces per depth level past the shallowest", () => {
const headings: LearningsHeading[] = [
h(2, "Build & test", 1, 42),
h(3, "Local", 3, 18),
h(3, "CI", 19, 42),
h(2, "Architecture", 43, 210),
h(3, "Background workers", 80, 210),
];
expect(renderLearningsToc(headings)).toBe(
`- Build & test (L1-L42)
- Local (L3-L18)
- CI (L19-L42)
- Architecture (L43-L210)
- Background workers (L80-L210)`
);
});
it("treats the shallowest depth as the root column when no h2 is present", () => {
const headings: LearningsHeading[] = [h(3, "Only h3", 1, 5), h(4, "Sub h4", 2, 5)];
expect(renderLearningsToc(headings)).toBe(
`- Only h3 (L1-L5)
- Sub h4 (L2-L5)`
);
});
it("supports depths up through h6 with stable 2-space indent steps", () => {
const headings: LearningsHeading[] = [
h(2, "Two", 1, 10),
h(3, "Three", 2, 10),
h(4, "Four", 3, 10),
h(5, "Five", 4, 10),
h(6, "Six", 5, 10),
];
expect(renderLearningsToc(headings)).toBe(
`- Two (L1-L10)
- Three (L2-L10)
- Four (L3-L10)
- Five (L4-L10)
- Six (L5-L10)`
);
});
});
describe("buildLearningsSection", () => {
it("returns empty string when no file path (seed step failed)", () => {
expect(buildLearningsSection({ filePath: null, headings: [] })).toBe("");
});
it("renders the no-headings affordance when the body has no structure", () => {
const out = buildLearningsSection({
filePath: "/tmp/run-1/pullfrog-learnings.md",
headings: [],
});
expect(out).toContain("************* LEARNINGS *************");
expect(out).toContain("/tmp/run-1/pullfrog-learnings.md");
expect(out).toContain("no headings yet");
expect(out).toContain("structure it with");
// does not include a TOC list when there are no headings
expect(out).not.toMatch(/\(L\d+-L\d+\)/);
});
it("renders the TOC inline with the file path and heading guidance", () => {
const out = buildLearningsSection({
filePath: "/tmp/run-1/pullfrog-learnings.md",
headings: [h(2, "Build & test", 1, 18), h(2, "Architecture", 19, 60)],
});
expect(out).toContain("************* LEARNINGS *************");
expect(out).toContain("/tmp/run-1/pullfrog-learnings.md");
expect(out).toContain("- Build & test (L1-L18)");
expect(out).toContain("- Architecture (L19-L60)");
expect(out).toContain("Each range starts at the section heading line");
// explicit "no hashes, no backticks" in the rendered list
expect(out).not.toContain("- `## Build");
expect(out).not.toContain("`## Build");
});
});
+19
View File
@@ -9,6 +9,22 @@ export interface Mode {
prompt: string;
}
/**
* server-parsed TOC entry for `Repo.learnings`. depth is 1-6 (h1-h6),
* line numbers are 1-indexed against the raw body. computed by
* `parseLearningsHeadings` in `utils/learningsToc.ts` (server side) and
* shipped over the run-context JSON boundary; the canonical declaration
* lives there. duplicated here because the action runtime can't reach
* across into the proprietary root-level codebase, and the JSON wire
* means typecheck can't enforce shape equality across both sides.
*/
export interface LearningsHeading {
depth: 1 | 2 | 3 | 4 | 5 | 6;
title: string;
startLine: number;
endLine: number;
}
export interface RepoSettings {
model: string | null;
modes: Mode[];
@@ -21,6 +37,7 @@ export interface RepoSettings {
prApproveEnabled: boolean;
modeInstructions: Record<string, string>;
learnings: string | null;
learningsHeadings: LearningsHeading[];
envAllowlist: string | null;
}
@@ -61,6 +78,7 @@ const defaultSettings: RepoSettings = {
prApproveEnabled: false,
modeInstructions: {},
learnings: null,
learningsHeadings: [],
envAllowlist: null,
};
@@ -127,6 +145,7 @@ export async function fetchRunContext(params: {
postCheckoutScript: data.settings?.postCheckoutScript ?? null,
prepushScript: data.settings?.prepushScript ?? null,
stopScript: data.settings?.stopScript ?? null,
learningsHeadings: data.settings?.learningsHeadings ?? [],
},
apiToken: data.apiToken,
oss: data.oss ?? false,