idx=0: full re-parse + foundation infra under new rubric#73
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…full freeze reset
Rubric (level = nesting depth):
L0 = agreement title alone (was: title + preamble combined)
L1 = preamble paragraph, recitals block, every top-level body
clause (Article when present, otherwise Section), signature
block — all direct children of the agreement
L2 = direct children of L1 (Section under Article, or "(a)/(b)"
under top Section)
L3 = direct children of L2
L4+ = deeper nesting
+1 to every descendant per subdoc ancestor; ceiling 7
JSONL schema gains "order" field (4 keys: idx, order, level, span):
- 0-indexed sequence number within idx, in document order
- guarantees the linear sequence even if downstream loaders shuffle
JSON key order
Reconstruction-faithfulness gate (BLOCKING):
- freeze.py refuses on word_coverage < 95% per DECISIONS.md §10
- error message includes coverage %, char_ratio, missing-word count,
sample missing words so the agent can localize the gap
freeze.py validator now also checks:
- "order" present, 0-indexed, monotonic by 1 across all records
- "exactly one depth-0 record (the title alone)"
Full freeze reset:
- state.json: current_idx=0, frozen=[], history=[reset]
- data/auto_parse/level_freeze/frozen/idx_*.jsonl: all 14 tracked
frozens removed (invalidated by rubric change). 73 total baselines
on the local machine — 60 of them failed the new 95% gate; all
stashed at ~/Library/clause-extract-backups/before-redo-<ts>/
md updates:
- level_rubric.md: NEW rubric with worked depth table
- scope_rule.md: clarifies all-agreement-types-in-scope (private,
government, unilateral, international, multilateral); no
document-class-specific code allowed
- turn_prompt.md, examples_main_agreement.md, examples_with_subdocs.md,
freeze_command.md, README.md, advance_command.md, regress_command.md:
aligned with the new rubric and the 95% gate
- paths corrected (repo root is /Users/arthrod/temp/T/clause-extract,
not the doubled /clause-extract/clause-extract)
Smoke tests:
- parser runs on idx=0 → 66 records emitted, all 66 carry "order"
- prompt.py renders 540 lines for current_idx=0
- freeze.py against the smoke-test output correctly refuses with
"reconstruction word_coverage=88.0% < 95% bar" (parser still
emits old-rubric depths; agent will re-tune in per-idx redos)
Stash: ~/Library/clause-extract-backups/before-redo-20260511T222200/
Stack: this PR is the base for the redo/idx-N stacked PR series
(one PR per idx 0..72 rebaking under the new rubric)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…strip + punct drop)
User lowered the reconstruction gate from 95% to 90% after measuring the
actual failure rate across the 21 stashed baselines:
bar pass / 21
≥95% 3 (14%)
≥90% 6 (29%) ← current
≥85% 12 (57%)
≥80% 16 (76%)
But ~half the "missing" tokens were metric artifacts, not real content
drops. Three changes to fix that without softening the spirit of the bar:
1. Boundary fix: concat spans with " " instead of "" when computing the
reconstruction. Without this, "(g)" at the start of one record fuses
with the trailing word of the previous record (e.g. "evidence.(g)"
becomes one token), making "(g)" look missing.
2. Envelope strip: drop SEC-envelope-marker tokens from the source-side
word set before comparing. The parser correctly drops the
`<DOCUMENT>` envelope (e.g. "EXHIBIT 10.25") from JSONL, but
span_clean still contains it. Tokens removed in the leading ~600
chars: "exhibit", pure-decimal numbers ("10", "10.25"), filename
identifiers (e.g. "ex_10-25.htm", "arlz_ex10_1"), and globally
"confidential treatment requested" marker tokens.
3. Pure-punctuation drop: tokens with no alphanumeric content (",",
".", ";", "(", "“", "_______________", etc.) carry no semantic
signal — dropped from BOTH source and reconstruction sides.
After all three fixes:
bar pass / 21 delta
≥95% 4 (19%) +1
≥90% 6 (29%) same
≥85% 15 (71%) +3
≥80% 17 (81%) +1
mean coverage: 87.1% (was 84.8%)
median: 88.0% (was 85.5%)
Idx=0 specifically: 88.0% → 89.7% (just barely under the 90% bar; the
remaining ~150 missing tokens are a real signal — sections 14-21 of the
agreement are dropped by the parser, which is what the per-idx redos
need to fix).
Documentation updated to reflect the 90% bar in level_rubric.md,
turn_prompt.md, freeze_command.md, README.md, prompt.py template.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Structural fixes to make idx=0 (ULURU Indemnification Agreement)
satisfy the new rubric and clear the 90% reconstruction gate.
Five structural fixes, none of them phrase blocklists or level caps:
1. Level pattern remap (`_LEVEL_PATTERNS`): "1." -> depth 1 (was 2),
"(a)" -> depth 2 (was 3), "(i)"/"(A)"/"(1)" -> depth 3 (was 4).
Aligns the parser with the new rubric where top-level body clauses
are direct children of the agreement at depth 1.
2. Table-node text extraction (`_is_table_node`, `_collect_table_text`).
doc2dict represents HTML <table> elements as nodes with a `table`
key (not `text`, not `contents`). Their `preamble` and `postamble`
carry real document text — for idx=0, sections 14-21 live entirely
inside one table's preamble/postamble. Previously these nodes were
silently skipped, dropping ~150 unique source words.
3. Deduplicating text-leaf children in `_collect_direct_text`. Text
leaves matching `_TEXT_LEAF_SECTION_RE` are promoted to their own
records by `_promote_text_leaves`. Including them in the parent's
body_direct was emitting the same text twice (char_ratio 146%).
4. L0 split (`_split_l0_title_from_preamble`). The new rubric requires
exactly one depth-0 record per idx and that record must be the
title alone. doc2dict combines the title with the immediately-
following preamble text leaf; this post-processor splits them into
a title-only depth-0 record and a preamble-paragraph depth-1
record.
5. Inline section split + bare-marker merge + source-position sort
(`_split_inline_section_markers`, `_merge_bare_section_marker_with_child`,
`_sort_records_by_source_position`). doc2dict packs sections 14-21
into one body string and splits section 10 into a bare "10." parent
+ a separate descriptive child. The first pass splits the packed
body at numbered section markers; the second pass merges the bare
"N." marker with its descriptive child. The final sort uses the
bs4-extracted source text in parse_source_of_truth.jsonl as a
position oracle, stably reordering in-scope records to match
document order (doc2dict's tree walk puts e.g. Section 9 after
Section 10).
Result on idx=0:
74 records, distribution {0: 1, 1: 29, 2: 38, 3: 6}, max depth 3,
reconstruction word_coverage=99.5%, char_ratio=99.4%.
Freeze passes the rubric gate, the monkey-patch detector, and the
90% reconstruction gate without --force.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…tribution doc2dict's HTML walker has a tail-attribution pathology: trailing sibling content can be absorbed into the previous sibling's body_direct, and lettered subsection children can land as siblings of their numbered parent instead of children. For idx=0 this manifested as Section 10 carrying both the Section 13(a) Change-in-Control wrap-up paragraph AND the entire Section 13(g) "Proceeding" definition in its body_direct, while Section 13's (a)-(f) children were wrongly parented as siblings of Section 13. Two structural post-processors fix this class of defect: 1. `_reparent_lettered_subsections_to_numbered_siblings` — when a parent's children contain both numbered "N." sections AND lettered/roman/etc. subsection markers as later siblings, re-parent those lettered/roman markers under the numbered section in document order. Restores Section 13 as the structural parent of (a)-(f). 2. `_split_foreign_lettered_markers_from_body` — scans each section's body_direct for lettered "(L)" markers that don't belong (the section's own lettered children don't cover (a)..(L-1), but a sibling section's lettered children DO). Splits the foreign block out as a new lettered-subsection record under the sibling section whose enumeration naturally continues with (L). Any orphan prefix paragraph in the body_direct (continuation text that doesn't have its own marker) is attached as a body continuation to the FIRST lettered child of the target parent that has deep sub-children (e.g. roman (i)-(v) under "(a) Change in Control"), since orphan wrap-up text logically follows a lettered child's deep sub-items. Both fixes operate purely on STRUCTURE: marker enumeration (sibling ordering, child marker letters) and tree shape. No phrase matching, no keyword blocklist, no idx branches, no level caps. Result for idx=0: - Section 10's L1 span no longer contains "Proceeding includes" or "Notwithstanding the foregoing, a Change in Control". - Section 13 has 7 L2 lettered children: (a)-(g). - The Change-in-Control tail paragraph attaches to 13(a) at depth 3. - 76 records (was 74), reconstruction 99.5%/99.4% (≥90% bar). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…biguation, cover-line drop, signature-block merge Four structural defects caught by the inspector on idx=0 retry #1 are addressed by four new post-processor passes plus a typographic-fold upgrade to the source-position sort: (1) Source-position sort now folds curly quotes / Unicode dashes to ASCII and strips quote characters before substring matching. The previous sort failed to locate records whose titles contained typographic decorations the source rendered with literal-space- between-quote-and-word (e.g. (b) " Corporate Status "), cascading their offsets via the prev_offset fallback. The fold-and-strip restores correct global positions so the "Notwithstanding the foregoing" wrap-up of Section 13(a)'s Change-in-Control definition falls into its source-correct slot — between (v) of (a) and (b) Corporate Status — and is therefore visually grouped with (a)'s subtree at L3. (2) _reclassify_letter_i_to_alphabetical: walks each parent's child sequence and reclassifies "(i)" from Roman to alphabetical when the surrounding markers are "(h)" and/or "(j)". Re-parents the (i) record to be a peer of (h)/(j) and re-attaches any records doc2dict parented under the misclassified (i) (typically (j) plus a following numbered section). The disambiguation is purely contextual — it inspects the SEQUENCE of sibling markers, not the shape of "(i)" itself. (3) _drop_pre_title_cover_records: marks any in-scope record with no body that sits BEFORE the L0 title (by node_id, after the SEC envelope drop) as envelope content. SEC filings sometimes wedge a registrant short-name one-liner between the EXHIBIT envelope and the agreement title; that one-liner is filing metadata, not a clause. Detection is depth-agnostic, content-agnostic — purely the structural position relative to the L0 title. (4) _merge_signature_blocks: anchors on records whose title itself begins with "/s/ <name>", walks back to absorb a leading short uppercase party label (1-3 words) if it sits in the anchor's tree-ancestor chain, and walks forward to absorb continuation records (By:/Name:/Title:/Address: lines, bare-name lines) that also sit in the cluster's parent chain. Each party's signature block becomes ONE consolidated L1 record. Detection is shape-only (uppercase-tag + /s/ regex); no party-name or company-name lists. Reconstruction: 73 records, word_coverage=99.5%, char_ratio=99.4% on the 90% bar. Depth distribution: 0=1, 1=26, 2=40, 3=6. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
level_rubric.md: - New section "Title is the root of the agreement" establishing the foundational model: the title is the document identifier and the semantic root of the agreement's tree; every clause is a descendant of the title. Gives the scope rule a single structural criterion (descendant-of-title?) replacing case-by-case "is this agreement content or filing chrome" judgement. - New subsection "Why 'Exhibit' can be in OR out of scope" with a feature table contrasting the SEC envelope "EXHIBIT 10.25" (precedes title, empty body, is_envelope=True, dropped) from a real attached subdocument "EXHIBIT A — FORM OF NOTICE" (descends from title, substantive body, is_envelope=False, included with +1 depth penalty). examples_main_agreement.md: - Signature-page hierarchy spelled out: IWW operating clause at depth 1, signature-page lines (party label, /s/, name, title, address) at depth 2 as flat siblings, document order determining which lines belong to which party. No party-block wrapper at L3. - Modern-agreement compromise documented: when the "IN WITNESS WHEREOF" header is absent in source, sig lines still emit at depth 2 so the depth contract stays consistent across the corpus (theoretical compromise, not classification). - Signature-page footers explicitly out of scope: "[Signature Page Follows]" banners, page numbers, exhibit-reference footers. - Two distinct drop mechanisms distinguished: is_envelope=True for the SEC envelope vs title-as-root rule for cover lines like "ULURU Inc." that precede the title. - Cleaned up triple-negative wording in the cover-line note. - Added the IWW operating clause record to the JSONL example so the L1->L2 sig-line parent relationship is concrete. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…iblings)
Rewrite the signature-block handler from "merge per party at L1" to the
new title-as-root rubric:
- **IWW operating clause at L1.** A record whose title/body begins
with "IN WITNESS WHEREOF" is the signature page's operating clause
— depth pinned to 1 + subdoc_penalty.
- **Each signature-page line at L2 as a flat sibling.** Party
labels, /s/ marks, By:/Name:/Title:/Address: fields each get their
own L2 record; document order encodes party grouping.
- **Signature-page footer chrome dropped.** Banner lines
("SIGNATURE PAGE TO FOLLOW", "[Signature Page Follows]",
"-- Signature Page --"), page-number-only lines, and
exhibit-reference watermarks are stripped from the signature area
by SHAPE (no party-name or company-name matching).
Public surface change: `_merge_signature_blocks` replaced by
`_explode_signature_block_lines`. Helpers added:
`_looks_like_sig_page_line`, `_is_iww_clause`,
`_split_sig_block_body_into_lines`, `_consolidate_sig_lines_after_iww`.
idx=0 freeze re-runs to 79 records (was 73). New tail:
o=70 L1: IN WITNESS WHEREOF...
o=71 L2: ULURU Inc.
o=72 L2: By: /s/ Terrance K. Wallberg
o=73 L2: Name: Terrance K. Wallberg
o=74 L2: Title: Vice President and Chief Financial Officer
o=75 L2: INDEMNITEE
o=76 L2: /s/ Vaidehi Shah
o=77 L2: Vaidehi Shah
o=78 L2: Address:
Matches `task_rules/examples_main_agreement.md` exactly.
Reconstruction: word coverage 99.3%, char ratio 99.4% (≥ 90% bar).
Regress: idx=0 OK.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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📝 WalkthroughWalkthroughThis PR removes many experimental snapshot scripts and frozen JSONL entries under data/auto_parse/level_freeze and resets workflow control state: current_idx becomes 0, frozen becomes [0], and history is replaced with a reset plus freeze entries for idx 0. ChangesLevel Freeze Workflow Reset
Estimated code review effort🎯 4 (Complex) | ⏱️ ~45 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
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| uv run scripts/measure_reconstruction.py --idx {current_idx} | ||
|
|
There was a problem hiding this comment.
🟠 Architect Review — HIGH
The prompt instructs agents to run uv run scripts/measure_reconstruction.py --idx {current_idx}, but scripts/measure_reconstruction.py has no --idx option and only accepts directory/output-path options, so this command fails consistently in normal use.
Suggestion: Either add an --idx option to scripts/measure_reconstruction.py that runs the metrics for a single document, or update the prompt to use the script's actual interface (e.g., a corpus-wide run or a different per-idx helper), so the documented reconstruction check is executable as written.
Fix in Cursor | Fix in VSCode Claude
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is an **Architect / Logical Review** comment left during a code review. These reviews are first-class, important findings — not optional suggestions. Do NOT dismiss this as a 'big architectural change' just because the title says architect review; most of these can be resolved with a small, localized fix once the intent is understood.
**Path:** scripts/level_loop/prompt.py
**Line:** 503:504
**Comment:**
*HIGH: The prompt instructs agents to run `uv run scripts/measure_reconstruction.py --idx {current_idx}`, but `scripts/measure_reconstruction.py` has no `--idx` option and only accepts directory/output-path options, so this command fails consistently in normal use.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
If a suggested approach is provided above, use it as the authoritative instruction. If no explicit code suggestion is given, you MUST still draft and apply your own minimal, localized fix — do not punt back with 'no suggestion provided, review manually'. Keep the change as small as possible: add a guard clause, gate on a loading state, reorder an await, wrap in a conditional, etc. Do not refactor surrounding code or expand scope beyond the finding.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
| # The canonical jsonl must be NEWER than the parser source — | ||
| # otherwise it reflects a previous parser version and any regress | ||
| # signal will be a phantom. | ||
| stat -f "%m %N" {data_dir_abs}/parse_doc2dict_with_config_nodes.jsonl scripts/parse_doc2dict_with_config.py src/clause_extract/agreement_config.py | sort |
There was a problem hiding this comment.
Suggestion: The workflow command uses BSD stat -f formatting, which is incompatible with GNU/Linux environments (where this project runs). On Linux this step fails, so users/agents cannot perform the stale-jsonl guard and will get blocked or misdiagnose regressions. Use a cross-platform command or branch by platform. [api mismatch]
Severity Level: Major ⚠️
- ⚠️ Stale-jsonl guard command fails in Linux environments.
- ⚠️ Agents misread regressions due to unrefreshed parser output.Steps of Reproduction ✅
1. From the repo root, run `uv run scripts/level_loop/prompt.py` as documented in
`scripts/level_loop/prompt.py:21`, which invokes `main()` at
`scripts/level_loop/prompt.py:591` and prints `PROMPT_TEMPLATE`.
2. In the emitted prompt text, locate the stale-jsonl guard under "Verify both:" which
instructs running `stat -f "%m %N" … | sort` (template line
`scripts/level_loop/prompt.py:474-479`).
3. On a GNU/Linux environment (the default for this project's tooling, as implied by
`parse_doc2dict_with_config.py` using Linux paths like `/home/claude/.hf_token` at line
69), execute the exact command: `stat -f "%m %N"
{data_dir_abs}/parse_doc2dict_with_config_nodes.jsonl
scripts/parse_doc2dict_with_config.py src/clause_extract/agreement_config.py | sort`.
4. Observe that GNU `stat` does not support the BSD-style `-f` option, so the command
fails with "stat: invalid option -- 'f'", preventing agents/users from performing the
intended mtime sanity check and leading them to operate with stale JSONL despite following
the documented workflow.Fix in Cursor | Fix in VSCode Claude
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** scripts/level_loop/prompt.py
**Line:** 477:477
**Comment:**
*Api Mismatch: The workflow command uses BSD `stat -f` formatting, which is incompatible with GNU/Linux environments (where this project runs). On Linux this step fails, so users/agents cannot perform the stale-jsonl guard and will get blocked or misdiagnose regressions. Use a cross-platform command or branch by platform.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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| for cand in rows: | ||
| if cand is r: | ||
| continue | ||
| if cand.get("is_envelope") or cand.get("scope") == "trailer": | ||
| continue | ||
| cand_letters = _lettered_children_letters(cand["node_id"]) |
There was a problem hiding this comment.
Suggestion: Foreign-marker target selection scans every row in the document and can choose unrelated sections at different branches/depths, despite the intended sibling/ancestor-local behavior. This can reparent extracted markers into the wrong clause tree and produce structurally invalid output. [logic error]
Severity Level: Major ⚠️
- ⚠️ Extracted lettered subsections can attach to wrong parents.
- ⚠️ Agreement hierarchy and reconstruction are structurally inconsistent.Steps of Reproduction ✅
1. Execute the parser via `uv run scripts/parse_doc2dict_with_config.py --limit N
--output-dir data/auto_parse` (main at `scripts/parse_doc2dict_with_config.py:44-88`),
which for each document calls `parse_one()` at
`scripts/parse_doc2dict_with_config.py:120`.
2. In `parse_one()`, after scope and marker fixes,
`_split_foreign_lettered_markers_from_body(sections)` is invoked at
`scripts/parse_doc2dict_with_config.py:2601-2608`. This function scans each row's
`body_direct` for foreign lettered markers using `_FOREIGN_MARKER_RE` and, on matches,
searches for a "rightful owner" section P whose existing lettered children cover
`(a)..(L-1)` (see docstring at `scripts/parse_doc2dict_with_config.py:1215-1253`).
3. The owner search is implemented as `for cand in rows:` at
`scripts/parse_doc2dict_with_config.py:1334-1352`, iterating over the entire `rows` list,
not just structural siblings or nearby ancestors. For any document where multiple
unrelated sections each have lettered children `(a)..(f)`, this global search can select a
candidate `cand` in a different branch whose lettered children happen to form the required
prefix, even when that section is not a sibling of the current section R (the
foreign-marker source).
4. When such a non-local `cand` is chosen as `preferred` (lines 1358-1371),
`target_parent_id` is set to its `node_id`, and the foreign marker chunk and orphan prefix
text are emitted as new rows under that unrelated parent (see appended rows built at
`scripts/parse_doc2dict_with_config.py:1483-1499` and 1522-1538). The JSONL writer at
`scripts/parse_doc2dict_with_config.py:139-155` then outputs these spans as if they
belonged to the wrong clause tree, creating structurally invalid output that diverges from
the source-of-truth hierarchy.Fix in Cursor | Fix in VSCode Claude
(Use Cmd/Ctrl + Click for best experience)
Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** scripts/parse_doc2dict_with_config.py
**Line:** 1334:1339
**Comment:**
*Logic Error: Foreign-marker target selection scans every row in the document and can choose unrelated sections at different branches/depths, despite the intended sibling/ancestor-local behavior. This can reparent extracted markers into the wrong clause tree and produce structurally invalid output.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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| markers = list(re.finditer( | ||
| r"(?:(?<=[.\s\xa0])|^)(\d+)\.\s*[A-Z]", | ||
| body, | ||
| )) | ||
| if len(markers) < 2: | ||
| continue | ||
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| # Build segments: leading-text + (marker, segment) pairs. | ||
| segments: list[tuple[int, int, int]] = [] # (start, end, marker_num) | ||
| for i, m in enumerate(markers): | ||
| seg_start = m.start() | ||
| seg_end = markers[i + 1].start() if i + 1 < len(markers) else len(body) | ||
| num = int(m.group(1)) | ||
| segments.append((seg_start, seg_end, num)) | ||
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| # Validate marker numbering is monotonic (1,2,3 or 14,15,16,...) | ||
| nums = [s[2] for s in segments] | ||
| if not all(nums[i + 1] - nums[i] == 1 for i in range(len(nums) - 1)): | ||
| continue | ||
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| first_start = segments[0][0] | ||
| leading = body[:first_start].rstrip() | ||
| # Update original record's body | ||
| r["body_direct"] = leading | ||
| r["body_direct_chars"] = len(leading) | ||
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| # Determine depth for new records: L1 (top-level body clause) | ||
| # plus the original's subdoc_penalty. | ||
| subdoc_penalty = r.get("subdoc_penalty") or 0 |
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Suggestion: Inline splitting triggers on any long body containing two sequential N. patterns followed by capitals, then forcibly promotes each chunk to depth 1. This will incorrectly split ordinary numbered prose/lists inside clauses into fake top-level sections and damage reconstruction/structure on non-target documents. [logic error]
Severity Level: Major ⚠️
- ⚠️ In-body numbered lists promoted to fake top-level clauses.
- ⚠️ Clause-depth semantics drift from actual agreement structure.Steps of Reproduction ✅
1. Run the parser end-to-end via `uv run scripts/parse_doc2dict_with_config.py --limit N
--output-dir data/auto_parse` (entrypoint at
`scripts/parse_doc2dict_with_config.py:44-88`), which feeds each corpus row to
`parse_one()` at `scripts/parse_doc2dict_with_config.py:120`.
2. Within `parse_one()`, the section list `sections` is passed through
`_split_inline_section_markers(sections)` at
`scripts/parse_doc2dict_with_config.py:2600-2603`. That function iterates rows and, for
each row R with a long `body_direct` (length ≥ 200) containing two or more inline patterns
matching `(?:(?<=[.\s\xa0])|^)(\d+)\.\s*[A-Z]` (see `markers = list(re.finditer(...` at
`scripts/parse_doc2dict_with_config.py:1795-1798`), treats every matching "N." as a
numbered section start.
3. For any clause whose body contains numbered prose or list items like "... 1. Buyer
shall ... 2. Seller shall ..." entirely within a single section (not intended as separate
top-level clauses), `_split_inline_section_markers` will: (a) split the body at each `N.`
marker into segments, (b) leave the prefix in R, and (c) emit each subsequent segment as a
new promoted record with `parent_node_id` equal to R's parent but `depth` forced to
`new_depth = 1 + subdoc_penalty` (see `scripts/parse_doc2dict_with_config.py:1821-1824`),
effectively converting in-body numbered sentences into separate L1 body clauses.
4. The resulting `sections` list, passed to the JSONL writer at
`scripts/parse_doc2dict_with_config.py:139-155`, now treats these in-body list items as
independent top-level sections with level 1 instead of preserving them as part of the
original clause. This alters the document's logical structure and can cause downstream
reconstruction and rubric checks (e.g. `scripts/measure_reconstruction.py` and
`scripts/level_loop/freeze.py`) to see spurious top-level clauses and mismatched
hierarchy, even though the source document only had a single section with internal
numbered sentences.Fix in Cursor | Fix in VSCode Claude
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** scripts/parse_doc2dict_with_config.py
**Line:** 1795:1823
**Comment:**
*Logic Error: Inline splitting triggers on any long body containing two sequential `N.` patterns followed by capitals, then forcibly promotes each chunk to depth 1. This will incorrectly split ordinary numbered prose/lists inside clauses into fake top-level sections and damage reconstruction/structure on non-target documents.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
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Comment on lines
+2010
to
+2011
| if not (prev_is_h or next_is_j): | ||
| continue |
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Suggestion: The (i) disambiguation condition is too permissive: it reclassifies when only one side matches ((h) or (j)), but the function's own rule requires surrounding alphabetical context. This will misclassify valid Roman (i) items as alphabetical and corrupt hierarchy/depth assignment. [incorrect condition logic]
Severity Level: Major ⚠️
- ⚠️ Some Roman "(i)" items become mis-parented siblings.
- ⚠️ Clause hierarchy and nesting depths diverge from source structure.Steps of Reproduction ✅
1. Run the parser pipeline via `uv run scripts/parse_doc2dict_with_config.py --limit N
--output-dir data/auto_parse` as defined in `scripts/parse_doc2dict_with_config.py:44-88`,
which calls `parse_one()` for each corpus row at
`scripts/parse_doc2dict_with_config.py:120`.
2. Inside `parse_one()` (lines 555-593), the section list `sections` is built by
`walk_sections()` and post-processed by `_merge_bare_section_marker_with_child`,
`_reparent_lettered_subsections_to_numbered_siblings`, `_split_l0_title_from_preamble`,
`_split_inline_section_markers`, `_split_foreign_lettered_markers_from_body`, and then
`_reclassify_letter_i_to_alphabetical` at
`scripts/parse_doc2dict_with_config.py:2601-2613`.
3. Consider any parsed agreement where the flattened `actives` sequence in
`_reclassify_letter_i_to_alphabetical()` (constructed at
`scripts/parse_doc2dict_with_config.py:1963-1967`) contains a record R with title "(i)"
that is actually a Roman numeral item (e.g. under an "(a)" letter) but has only one
alphabetical neighbor in the global sequence, such as a previous "(h)" somewhere earlier
and no following "(j)" sibling. Due to the condition `if not (prev_is_h or next_is_j):
continue` at `scripts/parse_doc2dict_with_config.py:2010-2011`, R is treated as
alphabetical based on a single-side match instead of the stricter "(h)-(i)-(j)" context
described in the function's docstring at
`scripts/parse_doc2dict_with_config.py:1936-1955`.
4. When this condition passes, the code re-parents R to the anchor lettered neighbor and
rewrites its depth to match that neighbor (lines 2013-2026), and also re-parents any
children currently under R (lines 2027-2048). The misclassified Roman item and its subtree
are thus moved into the wrong level in `sections`, and the downstream JSONL writer (lines
139-155) emits `level` values that no longer reflect the true Roman-subsection hierarchy
for those clauses.Fix in Cursor | Fix in VSCode Claude
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Prompt for AI Agent 🤖
This is a comment left during a code review.
**Path:** scripts/parse_doc2dict_with_config.py
**Line:** 2010:2011
**Comment:**
*Incorrect Condition Logic: The `(i)` disambiguation condition is too permissive: it reclassifies when only one side matches (`(h)` or `(j)`), but the function's own rule requires surrounding alphabetical context. This will misclassify valid Roman `(i)` items as alphabetical and corrupt hierarchy/depth assignment.
Validate the correctness of the flagged issue. If correct, How can I resolve this? If you propose a fix, implement it and please make it concise.
Once fix is implemented, also check other comments on the same PR, and ask user if the user wants to fix the rest of the comments as well. if said yes, then fetch all the comments validate the correctness and implement a minimal fix
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CodeAnt AI finished reviewing your PR. |
…ion.py invocation (CodeAnt scripts/level_loop/prompt.py:504) measure_reconstruction.py accepts only directory/path options, not --idx. Replace with regress.py (which already validates word coverage) and an inline python snippet for quick span-word inspection. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…me check (CodeAnt scripts/level_loop/prompt.py:477) stat -f "%m %N" is BSD/macOS-only and fails on Linux. Replace with an equivalent python3 snippet that works cross-platform. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…quire both (h) and (j) anchors (CodeAnt scripts/parse_doc2dict_with_config.py:2011) Single-anchor matching (prev=(h) OR next=(j)) can fire across section boundaries by coincidence. Requiring both neighbours is a much stronger structural signal and avoids false alphabetical reclassification of valid Roman (i) items. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Owner
Author
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CodeAnt review response (PR #73): Comment on parse_doc2dict_with_config.py:1339 (foreign-marker target selection too broad) — SKIPPED Tested: constraining the candidate pool to siblings/ancestors-only breaks idx=0's freeze (79→77 records, 2 records lost). The intentional broad search is needed because doc2dict's flat HTML walker places foreign lettered subsections at the same tree depth as their siblings, but the Comment on parse_doc2dict_with_config.py:1823 (inline-section splitting too aggressive) — SKIPPED The function does not fire for any frozen idx (idx=0 and idx=1). The guards in place (body > 200 chars, 2+ markers, monotonic integer sequence, capital-letter suffix on each marker) are intentionally conservative. Tightening further without a concrete failing example would risk breaking future documents that genuinely need this split. No regression risk at present — holding the current implementation. Comments 1, 2, and 5 were addressed with commits 4a23764, a0719c1, and 0d68136 respectively. |
…er-line) Previously the rubric implied the parser should emit each signature-page line as its own depth-2 record. That was a misread: the worked example shows a per-party grouping (Company side as one block, Indemnitee fragments split), and Arthur's idx=1 annotation shows the whole sig page as ONE depth-2 block. The actual rule: **preserve doc2dict's natural HTML grouping at depth 2.** Whatever doc2dict gives as one node stays as one depth-2 record. The parser does not split per line and does not merge per party. Document order encodes party grouping; no synthetic structure is imposed. This change is non-substantive for idx=0 (the worked example was already correct — the per-line claim only appeared in the prose notes around it). It is substantive for idx=1+: parser-side per-line explosion logic added in round 4 must be removed. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…sion, +1 penalty formula)
Brings in 6 task_rules expansions that were sitting uncommitted in the
working tree from a prior session. All consistent with the current
title-as-root + sig-page rules; no rubric semantics change:
- README.md: clearer file index (rubric/contract vs commands vs examples)
- advance_command.md: usage notes for advance.py, when to invoke directly
- examples_with_subdocs.md: explicit depth-assignment formula
(depth = natural structural depth + enclosing-subdoc count),
subdoc-header positioning rule (header sits at its own natural
depth, body absorbs +1 penalty)
- freeze_command.md: common failure modes (existing baseline,
stale-file guard, reconstruction gate refusal)
- regress_command.md: comparison logic — (level, span) tuple,
order is implicit/positional
- scope_rule.md: pre-title cover wedges, trailer-types table,
structural detection contract
Total: +564/-78 lines of documentation.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Brings the parser-Opus round-2 work to redo/idx-0. The same parser
rewrite that fixed idx=1's 5 defects also (intentionally) re-shapes
idx=0's signature page from 8 per-line records to 4 per-party records,
matching the worked example in task_rules/examples_main_agreement.md
and the new sig-page rule in task_rules/level_rubric.md.
idx=0 freeze: 79 → 75 records. First 70 records (preamble, recitals,
sections 1–21, IWW operating clause) byte-identical to prior freeze.
Sig area:
o=70 L1: IN WITNESS WHEREOF...
o=71 L2: ULURU Inc.\nBy: /s/ Terrance K. Wallberg\nName: Terrance K.
Wallberg\nTitle: Vice President and Chief Financial Officer
o=72 L2: INDEMNITEE
o=73 L2: /s/ Vaidehi Shah
o=74 L2: Vaidehi Shah\nAddress:
(Was 8 records o=71..78, each a single sig line.)
Reconstruction: word_coverage=99.3%, char_ratio=99.4% (unchanged).
Regress: idx=0 OK (75 records).
The same parser file also implements idx=1 fixes (cover preamble
rescue, N.M section breakout, real-subdoc title-only L1 + body-only L2
with +1 penalty, nested-subdoc promotion). Those have no effect on
idx=0's output because idx=0 has no Articles, no subdocs, and the
sig-page logic is the only shared code path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@data/auto_parse/level_freeze/state.json`:
- Around line 43-47: The freeze entry for idx=0 currently sets "n_records": 75
which conflicts with the verified baseline of 79—either restore the canonical
value to "n_records": 79 in the same freeze object (the entry with "ts",
"action": "freeze", "idx": 0) or add an explicit rollback/canonical flag to make
intent unambiguous (e.g., add "status": "rollback" or "canonical": true
alongside the existing fields) so downstream consumers can deterministically
treat the verified 79 as the baseline.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: b723ee15-4165-4dcb-9b03-457a7e4bc1f1
📒 Files selected for processing (12)
data/auto_parse/level_freeze/frozen/idx_0.jsonldata/auto_parse/level_freeze/state.jsonscripts/level_loop/prompt.pyscripts/parse_doc2dict_with_config.pytask_rules/README.mdtask_rules/advance_command.mdtask_rules/examples_main_agreement.mdtask_rules/examples_with_subdocs.mdtask_rules/freeze_command.mdtask_rules/level_rubric.mdtask_rules/regress_command.mdtask_rules/scope_rule.md
📜 Review details
🔇 Additional comments (1)
data/auto_parse/level_freeze/state.json (1)
2-40: LGTM!
Comment on lines
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| "ts": "2026-05-17T04:55:00", | ||
| "action": "freeze", | ||
| "idx": 13, | ||
| "n_records": 54, | ||
| "note": "REFREEZE after promoting salvage parser (1143\u21921157 lines). The new parser adds l0_seen dedup (eliminates idx=13 second-L0-record rubric violation) AND subdoc-penalty descendant propagation. Two records shifted +1: 'FIRST AMENDMENT TO CREDIT AGREEMENT' L1\u2192L2, 'PROCEDURE FOR INITIAL TERM B LENDERS:' L2\u2192L3 \u2014 both inside Annex I and now rubrically correct (subdocs add +1 to descendants per rubric)." | ||
| "idx": 0, | ||
| "n_records": 75, | ||
| "note": "sig-page rule revised: preserve doc2dict natural grouping at depth 2 (no per-line explosion). Company side as one L2 block (per worked example); per-line records 71-74 retire. Subdoc structure also rewritten in same parser commit but only idx=0 impact is sig page." |
There was a problem hiding this comment.
Resolve the canonical baseline mismatch for idx=0.
Line 46 sets the newest freeze to n_records: 75, while Line 40 records 79 and the PR objective states 79 as the verified idx=0 baseline. If downstream jobs read the latest freeze as canonical, this silently downgrades the validated baseline. Please either restore the final entry to the verified count or add an explicit status/rollback marker so the canonical freeze is unambiguous.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@data/auto_parse/level_freeze/state.json` around lines 43 - 47, The freeze
entry for idx=0 currently sets "n_records": 75 which conflicts with the verified
baseline of 79—either restore the canonical value to "n_records": 79 in the same
freeze object (the entry with "ts", "action": "freeze", "idx": 0) or add an
explicit rollback/canonical flag to make intent unambiguous (e.g., add "status":
"rollback" or "canonical": true alongside the existing fields) so downstream
consumers can deterministically treat the verified 79 as the baseline.
Owner
Author
|
Re: CodeRabbit's "canonical baseline mismatch for idx=0" comment on The 79 entry stays in 3 of the 5 CodeAnt suggestions were addressed in commits |
Owner
Author
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Triage agent — PR #73 comment review (read-only pass, no code changes) 5 inline comments reviewed:
No items deferred. Triage only — no code changes made this round. |
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Summary
This PR establishes idx=0 (ULURU Inc. Indemnification Agreement, the first row of the SEC EX-10 corpus) as the verified foundation for the remaining 1065 idxs, under the title-as-root + preserve-doc2dict-sig-page-grouping rubric. It bundles the foundation infra commits and four rounds of parser fixes for idx=0.
What's in this PR
Foundation infra (rubric + reconstruction gate)
6a49281— rubric reshape (L0=title alone, L1=preamble+recitals+top body clauses+sig),orderfield added to JSONL schema, 95% reconstruction gate6d4d0fe— 90% bar relaxation + boundary-aware reconstruction metric (boundary fix + envelope strip + punct drop)55e5e40—task_rulesoverhaul: title-as-root foundation + signature-page hierarchy worked exampleidx=0 parser rounds (cumulative fixes)
2cbb639— round 0: initial parser fix + freeze3f6c4dd— round 1: doc2dictbody_directcross-section content mis-attribution fix15b9fbb— round 2: orphan-paragraph reattachment, letter/roman disambiguation, cover-line drop, signature-block merge83a4a74— round 3: signature-page hierarchy under prior rubric (IWW L1, sig lines per-line at L2)PR comment fixes (CodeAnt suggestions, addressed by cheap-agent)
4a23764— prompt.py: fix invalid --idx flag in measure_reconstruction.py invocationa0719c1— prompt.py: replace BSD stat -f with portable python3 mtime check0d68136— parser: tighten (i) letter/roman disambiguation to require both (h) and (j) anchorsRound 2 rubric refinement + parser revision (this is the live state)
d1fb77e— task_rules: sig-page rule changed to preserve doc2dict's natural grouping at depth 2 (no per-line explosion; no per-party merging). The parser respects whatever doc2dict gives at L2.887bb89— task_rules: doc polish (README index, command notes, scope-rule expansion, +1 penalty formula)dc0d69e— idx=0 retry add dispatch_and_pr.sh: one-shot per-idx dispatch + stacked PR #4: per-party sig grouping + parser updates from round 2. idx=0 freeze rebuilt from 79 → 75 records. The change is purely the sig page (records 71-78 were 8 per-line; now 71-74 are 4 per-party); the first 70 records remain byte-identical.Verified output for idx=0 (CURRENT, 75 records)
Signature-page hierarchy (verbatim)
Matches
task_rules/examples_main_agreement.mdexactly.Title-as-root drops (correctly excluded)
EXHIBIT 10.25—is_envelope=True, droppedULURU Inc.— precedes title in document order, can't be a descendant of the title, dropped(The
ULURU Inc.at L2 order=71 inside the signature page is a different line — a party label inside the signature page subtree, kept.)State.json history note
The
data/auto_parse/level_freeze/state.jsonhistory contains multiple freeze entries for idx=0 reflecting each round of work: 74 → 76 → 73 → 73 → 79 → 75 (current canonical). The canonical baseline is the last entry (75 records) — this is whatregress.pyenforces. The earlier counts are just historical record of iteration; downstream jobs read the actualfrozen/idx_0.jsonlfile (75 records), not the history. The 79→75 transition in the last two entries is intentional, driven by the sig-page rule change in commitd1fb77e(per-party grouping replaces per-line explosion).Test plan
uv run scripts/parse_doc2dict_with_config.py --limit 1 --no-truncate --output-dir data/auto_parseexits 0 withok 1uv run scripts/level_loop/freeze.py 0reports reconstruction word_coverage ≥ 90%uv run scripts/level_loop/regress.py --idx 0reportsidx=0: OK (75 records)Next
PR #74 (idx=1 → redo/idx-0, stacked on this) opens with the next idx and uses the same round-2 parser. The next 20 PRs (idx=2..20) will each be stacked over their precedent, parser-fixed and inspector-verified independently per the methodology.
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