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https://github.com/tiennm99/goclaw.git
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ace07509b7
* feat(infra): add runtime package support for skills Install nodejs, npm, pandoc, github-cli + pre-install Python packages (openpyxl, pandas, python-pptx, markitdown) and Node packages (docx, pptxgenjs). Configure runtime dirs for agent pip/npm installs with PIP_TARGET, NPM_CONFIG_PREFIX, NODE_PATH to enable dynamic package installation in read-only container environment. * feat(infra): add bundled skills with runtime package support - Add 5 bundled skills: docx, pdf, pptx, xlsx, skill-creator from container skills-store - Wire GOCLAW_BUILTIN_SKILLS_DIR env var in gateway and CLI - Support optional runtime packages alongside dynamic skill loading - Update Dockerfile to COPY bundled-skills at /app/bundled-skills/ - Add PIP_CACHE_DIR in docker-entrypoint.sh for clean pip installs - Document bundled skills in 14-skills-runtime.md section 6 * feat(infra): remove ai-multimodal skill directory from bundled skills Remove the ai-multimodal skill package as part of consolidating runtime package support for bundled skills. This directory is no longer needed in the bundled skills structure. * feat(ci): add semantic release and Docker Hub publishing Add go-semantic-release workflow to auto-create semver tags on merge to main. Extend docker-publish to push all variants to both GHCR and Docker Hub (digitop/goclaw). * feat(skills): add system skills infrastructure with is_system column, dep scanning, and seeder - Migration 000017: add is_system boolean column with partial index - Store layer: UpsertSystemSkill, delete protection, IsSystemSkill - ListAccessible auto-includes system skills (no grants needed) - ListWithGrantStatus returns is_system field - Dependency scanner: auto-detect deps from scripts/ or skill-manifest.json - Dependency checker: verify system binaries, Python/Node packages - Seeder: seed bundled skills into DB on startup (idempotent via hash) - Gateway wiring: GOCLAW_BUNDLED_SKILLS_DIR env for bundled skills - HTTP: delete guard (403), slug conflict check (409), rescan-deps endpoint - UI: System badge, hide delete for system skills, rescan deps button - Agent skills tab: "Always available" for system skills - i18n: en/vi/zh keys for system skills, deps scanning * feat(skills): conditional system prompt, skill manifests, and Zip Slip fix - System prompt: only show package list when python3/node are available - Add skill-manifest.json for pdf, docx, xlsx, pptx bundled skills - Fix Zip Slip vulnerability in office/unpack.py (all 3 copies) * refactor(skills): extract shared office code to _shared/ and deduplicate Move office scripts (pack, unpack, validate, schemas, validators) from duplicated copies in docx/xlsx/pptx to skills/_shared/office/ with symlinks. Remove soffice.py (non-functional in containers) and update SKILL.md references to use soffice binary directly. Update seeder copyDir to follow symlinks. Removes ~45K lines of duplicate code across 3 skills. * fix(skills): address code review findings for system skills integration - H1: Remove dead symlink branch in copyDir (filepath.Walk follows symlinks) - H3: Fix rescan-deps to query ALL skills (including archived) and re-activate when deps become available; add ListAllSkills() + Status field to SkillInfo - H4: Add Status field to SkillCreateParams, stop overloading Visibility - M1: Batch Python/Node dep checks into single subprocess per runtime - M4: Add rows.Err() check in ListSkills to prevent caching partial results * feat(skills): async dep checking with realtime WS events Split Seed() into sync DB upsert + async CheckDepsAsync() goroutine. Gateway startup no longer blocks on Python/Node subprocess dep checks. - Seed() returns seeded skills list, all initially status="active" - CheckDepsAsync() runs in background, emits skill.deps.checked per-skill - skill.deps.complete event emitted when all checks finish - Each failed dep check: archives skill + BumpVersion() for immediate cache invalidation so next agent turn picks up the change - UI: use-query-invalidation listens to skill.deps.* events → auto-refresh skills list in realtime * feat(skills): system skills integration with toggle, dep checking, and per-item install - Add is_system, deps, enabled columns to skills table (migration 017) - Seed bundled core skills (pdf, docx, pptx, xlsx, skill-creator) on startup - PYTHONPATH-based dep detection — eliminates false positives from local modules - Per-item dep install UI with individual status (installing/success/error) - Enable/disable toggle for core and custom skills (independent of dep status) - Re-run dep check when skill is toggled back on - Inline skill thresholds: 40 skills / 5000 tokens before switching to search mode - Fix UpsertSystemSkill: backfill null file_hash without bumping DB version - Remove redundant skill-manifest.json files (replaced by deps JSONB column) - Show author from frontmatter in custom skills tab - Runtime checker for python3/pip3/node/npm availability - WS events for dep checking/installing progress - docs: add 15-core-skills-system.md, 16-skill-publishing.md --------- Co-authored-by: Goon <duy@wearetopgroup.com>
116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
"""
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Extract form structure from a non-fillable PDF.
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This script analyzes the PDF to find:
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- Text labels with their exact coordinates
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- Horizontal lines (row boundaries)
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- Checkboxes (small rectangles)
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Output: A JSON file with the form structure that can be used to generate
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accurate field coordinates for filling.
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Usage: python extract_form_structure.py <input.pdf> <output.json>
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"""
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import json
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import sys
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import pdfplumber
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def extract_form_structure(pdf_path):
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structure = {
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"pages": [],
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"labels": [],
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"lines": [],
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"checkboxes": [],
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"row_boundaries": []
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}
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with pdfplumber.open(pdf_path) as pdf:
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for page_num, page in enumerate(pdf.pages, 1):
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structure["pages"].append({
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"page_number": page_num,
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"width": float(page.width),
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"height": float(page.height)
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})
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words = page.extract_words()
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for word in words:
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structure["labels"].append({
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"page": page_num,
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"text": word["text"],
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"x0": round(float(word["x0"]), 1),
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"top": round(float(word["top"]), 1),
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"x1": round(float(word["x1"]), 1),
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"bottom": round(float(word["bottom"]), 1)
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})
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for line in page.lines:
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if abs(float(line["x1"]) - float(line["x0"])) > page.width * 0.5:
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structure["lines"].append({
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"page": page_num,
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"y": round(float(line["top"]), 1),
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"x0": round(float(line["x0"]), 1),
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"x1": round(float(line["x1"]), 1)
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})
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for rect in page.rects:
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width = float(rect["x1"]) - float(rect["x0"])
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height = float(rect["bottom"]) - float(rect["top"])
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if 5 <= width <= 15 and 5 <= height <= 15 and abs(width - height) < 2:
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structure["checkboxes"].append({
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"page": page_num,
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"x0": round(float(rect["x0"]), 1),
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"top": round(float(rect["top"]), 1),
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"x1": round(float(rect["x1"]), 1),
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"bottom": round(float(rect["bottom"]), 1),
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"center_x": round((float(rect["x0"]) + float(rect["x1"])) / 2, 1),
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"center_y": round((float(rect["top"]) + float(rect["bottom"])) / 2, 1)
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})
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lines_by_page = {}
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for line in structure["lines"]:
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page = line["page"]
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if page not in lines_by_page:
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lines_by_page[page] = []
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lines_by_page[page].append(line["y"])
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for page, y_coords in lines_by_page.items():
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y_coords = sorted(set(y_coords))
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for i in range(len(y_coords) - 1):
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structure["row_boundaries"].append({
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"page": page,
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"row_top": y_coords[i],
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"row_bottom": y_coords[i + 1],
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"row_height": round(y_coords[i + 1] - y_coords[i], 1)
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})
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return structure
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def main():
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if len(sys.argv) != 3:
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print("Usage: extract_form_structure.py <input.pdf> <output.json>")
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sys.exit(1)
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pdf_path = sys.argv[1]
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output_path = sys.argv[2]
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print(f"Extracting structure from {pdf_path}...")
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structure = extract_form_structure(pdf_path)
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with open(output_path, "w") as f:
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json.dump(structure, f, indent=2)
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print(f"Found:")
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print(f" - {len(structure['pages'])} pages")
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print(f" - {len(structure['labels'])} text labels")
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print(f" - {len(structure['lines'])} horizontal lines")
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print(f" - {len(structure['checkboxes'])} checkboxes")
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print(f" - {len(structure['row_boundaries'])} row boundaries")
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print(f"Saved to {output_path}")
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if __name__ == "__main__":
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main()
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