flowzap-sequence-workflows / scripts /sync_templates.py
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Refresh the corpus: 242 -> 356 templates, 27 use cases, dataset card (part 4)
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from __future__ import annotations
import csv
import json
import os
import re
import shutil
import urllib.request
import xml.etree.ElementTree as ET
from collections import Counter
from pathlib import Path
REPO_ROOT = Path(__file__).resolve().parents[1]
FLOWZAP_APP_ROOT = Path(
os.environ.get('FLOWZAP_APP_ROOT') or (REPO_ROOT.parent / 'FlowZap-App-v5')
)
TEMPLATES_INDEX_PATH = FLOWZAP_APP_ROOT / 'src' / 'templateLibrary' / 'templatesIndex.json'
TEMPLATE_FILES_DIR = FLOWZAP_APP_ROOT / 'public' / 'template-files'
SITEMAP_URL = 'https://flowzap.xyz/sitemap-templates.xml'
USE_CASES = [
{
'id': 'handoff',
'labels': {'en': 'Handoff', 'fr': 'Transfert', 'zh': '交接'},
'keywords': ['handoff', 'handover', 'transfer', 'escalation', 'routing', 'handoff degradation'],
},
{
'id': 'approval',
'labels': {'en': 'Approval', 'fr': 'Approbation', 'zh': '审批'},
'keywords': ['approval', 'approve', 'sign-off', 'review', 'authorize', 'authorization'],
},
{
'id': 'incident',
'labels': {'en': 'Incident', 'fr': 'Incident', 'zh': '事故'},
'keywords': ['incident', 'outage', 'alert', 'on-call', 'monitoring', 'response'],
},
{
'id': 'onboarding',
'labels': {'en': 'Onboarding', 'fr': 'Intégration', 'zh': '入职'},
'keywords': ['onboarding', 'onboard', 'welcome', 'setup', 'activation', 'registration'],
},
{
'id': 'offboarding',
'labels': {'en': 'Offboarding', 'fr': 'Départ', 'zh': '离职'},
'keywords': ['offboarding', 'termination', 'account deletion', 'deprovision', 'deactivate'],
},
{
'id': 'billing',
'labels': {'en': 'Billing & Payments', 'fr': 'Facturation & paiements', 'zh': '计费与支付'},
'keywords': ['billing', 'invoice', 'payment', 'subscription', 'dunning', 'refund', 'dispute', 'chargeback'],
},
{
'id': 'security',
'labels': {'en': 'Security & Access', 'fr': 'Sécurité & accès', 'zh': '安全与访问'},
'keywords': ['security', 'auth', 'authentication', 'oauth', '2fa', 'two-factor', 'mfa', 'certificate', 'rotation', 'secret', 'vulnerability', 'patch'],
},
{
'id': 'compliance',
'labels': {'en': 'Compliance', 'fr': 'Conformité', 'zh': '合规'},
'keywords': ['gdpr', 'audit', 'compliance', 'consent', 'policy', 'risk', 'controls'],
},
{
'id': 'delivery',
'labels': {'en': 'Delivery & DevOps', 'fr': 'Livraison & DevOps', 'zh': '交付与 DevOps'},
'keywords': ['ci/cd', 'ci-cd', 'pipeline', 'deploy', 'deployment', 'rollback', 'migration', 'backup', 'restore', 'provisioning', 'infrastructure', 'load testing'],
},
{
'id': 'support',
'labels': {'en': 'Support', 'fr': 'Support', 'zh': '支持'},
'keywords': ['support', 'ticket', 'knowledge base', 'knowledge-base'],
},
{
'id': 'agentic',
'labels': {'en': 'Agentic Teams', 'fr': 'Équipes Agentiques', 'zh': '智能体团队'},
'keywords': ['agentic', 'supervisor-worker', 'swarm', 'hierarchical', 'team-of-rivals', 'multi-agent', 'ai-team', 'orchestrator', 'planner', 'critic'],
},
{
'id': 'ai-orchestration',
'labels': {'en': 'AI Orchestration', 'fr': 'Orchestration IA', 'zh': 'AI编排'},
'keywords': ['ai-native', 'orchestration', 'single-agent', 'sequential-pipeline', 'parallel-fan-out', 'map-reduce', 'event-driven-mesh', 'competitive', 'generator-critic', 'coordinator'],
},
{
'id': 'mcp',
'labels': {'en': 'MCP Architecture', 'fr': 'Architecture MCP', 'zh': 'MCP架构'},
'keywords': ['mcp', 'direct-connect', 'gateway', 'proxy', 'tool-router', 'agent-mesh', 'circuit-breaker', 'context-proxy', 'stdio', 'production-grade'],
},
{
'id': 'context-management',
'labels': {'en': 'Context Management', 'fr': 'Gestion de Contexte', 'zh': '上下文管理'},
'keywords': ['context-management', 'session-memory', 'rolling-summary', 'profile-memory', 'semantic-memory', 'episodic-memory', 'hybrid-retrieval', 'shared-memory', 'vector-db', 'memory'],
},
# Domains the FlowZap library added after the first taxonomy. They are
# matched on the `domain` field, never guessed from keywords.
{
'id': 'commerce-automation',
'labels': {'en': 'Commerce Automation', 'fr': 'Automatisation commerciale', 'zh': '商业自动化'},
'domains': ['Commerce Automation'],
'keywords': ['commerce', 'shopify', 'stripe', 'checkout', 'product sync'],
},
{
'id': 'process-mapping',
'labels': {'en': 'Process Mapping', 'fr': 'Cartographie de processus', 'zh': '流程映射'},
'domains': ['Process Mapping'],
'keywords': ['process mapping', 'as-is', 'to-be', 'process analysis'],
},
{
'id': 'agentic-architecture',
'exclusive': True,
'labels': {'en': 'Agentic Architecture', 'fr': 'Architecture agentique', 'zh': '智能体架构'},
'domains': ['Agentic Architecture'],
'keywords': ['agentic architecture', 'self-improvement', 'reflection loop'],
},
{
'id': 'agentic-security',
'exclusive': True,
'labels': {'en': 'Agentic Security', 'fr': 'Sécurité agentique', 'zh': '智能体安全'},
'domains': ['Agentic Security'],
'keywords': ['containment', 'permission gate', 'mandate', 'provenance', 'sandbox'],
},
{
'id': 'agent-simulation',
'labels': {'en': 'Agent Simulation', 'fr': 'Simulation agentique', 'zh': '智能体模拟'},
'domains': ['Agent Simulation'],
'keywords': ['synthetic focus group', 'simulation', 'agent world'],
},
{
'id': 'llm-operations',
'labels': {'en': 'LLM Operations', 'fr': 'Opérations LLM', 'zh': 'LLM 运维'},
'domains': ['LLM Operations'],
'keywords': ['prompt caching', 'model router', 'tool schema', 'compaction'],
},
{
'id': 'diagram-authoring',
'exclusive': True,
'labels': {'en': 'Diagram Authoring', 'fr': 'Rédaction de diagrammes', 'zh': '图表编写'},
'domains': ['Diagram Authoring'],
'keywords': ['fz file', 'example diagram', 'authoring'],
},
{
'id': 'platform-reliability',
'labels': {'en': 'Platform Reliability', 'fr': 'Fiabilité de plateforme', 'zh': '平台可靠性'},
'domains': ['Platform Reliability'],
'keywords': ['failover', 'outage', 'multi-cloud mesh'],
},
{
'id': 'mindmap',
'exclusive': True,
'labels': {'en': 'Mind Map', 'fr': 'Carte mentale', 'zh': '思维导图'},
'domains': ['Mindmap'],
'keywords': ['mind map', 'mindmap', 'root cause map'],
},
{
'id': 'syntax-primitives',
'labels': {'en': 'Syntax Primitives', 'fr': 'Primitives de syntaxe', 'zh': '语法基础'},
'domains': ['syntax-primitives'],
'keywords': ['basic lane', 'handle positions', 'all shapes'],
},
{
'id': 'edge-cases',
'labels': {'en': 'Edge Cases', 'fr': 'Cas limites', 'zh': '边界情况'},
'domains': ['edge-cases'],
'keywords': ['edge case', 'escaping', 'max nodes', 'duplicate node ids'],
},
{
'id': 'architecture',
'labels': {'en': 'Reference Architecture', 'fr': 'Architectures de référence', 'zh': '参考架构'},
'domains': ['Architecture'],
'keywords': ['microservices', 'event-driven', 'serverless', 'saga'],
},
{
'id': 'patterns',
'labels': {'en': 'Patterns', 'fr': 'Patrons', 'zh': '模式'},
'domains': ['patterns'],
'keywords': ['pattern', 'retry', 'circuit breaker', 'pub sub'],
},
]
LEGACY_TOP_LEVEL_DIRS = [
'business-operations',
'devops',
'edge-cases',
'finance',
'hr',
'logistics',
'patterns',
'syntax-primitives',
'handoff',
'approval',
'incident',
'onboarding',
'offboarding',
'billing',
'security',
'compliance',
'delivery',
'support',
'agentic',
'ai-orchestration',
'mcp',
'context-management',
'uncategorized',
'indexes',
]
def normalize_text(value: str) -> str:
return re.sub(r'\s+', ' ', value.lower().replace('_', ' ').replace('-', ' ')).strip()
def slugify(value: str) -> str:
return re.sub(r'[^a-z0-9]+', '-', value.lower()).strip('-') or 'unknown'
def load_canonical_slugs() -> list[str]:
with urllib.request.urlopen(SITEMAP_URL, timeout=30) as response:
xml_text = response.read().decode('utf-8')
root = ET.fromstring(xml_text)
ns = {'sm': 'http://www.sitemaps.org/schemas/sitemap/0.9'}
slugs: list[str] = []
seen: set[str] = set()
for loc_node in root.findall('sm:url/sm:loc', ns):
loc = (loc_node.text or '').strip()
if '/fr/templates/' in loc or '/zh/templates/' in loc:
continue
marker = '/templates/'
if marker not in loc:
continue
slug = loc.split(marker, 1)[1].strip('/').removesuffix('.html')
if slug and slug not in seen:
slugs.append(slug)
seen.add(slug)
return slugs
def load_app_index() -> dict[str, dict]:
data = json.loads(TEMPLATES_INDEX_PATH.read_text(encoding='utf-8'))
return {entry['slug']: entry for entry in data['templates']}
def detect_kind(entry: dict) -> str:
tags = entry.get('tags') or []
if entry.get('domain') == 'Architecture' or 'architecture-diagram' in tags:
return 'architecture'
return 'workflow'
def compute_use_cases(entry: dict) -> list[str]:
haystack = normalize_text(
' '.join(
str(part)
for part in [entry.get('slug', ''), entry.get('domain', ''), entry.get('sourcePath', ''), *(entry.get('tags') or [])]
if part
)
)
entry_domain = normalize_text(entry.get('domain') or '')
# A product area carried by the domain itself wins over wording: a template
# filed under "Agentic Architecture" stays there even though its text also
# says "agent". Without this the four newest areas stay empty forever.
matches: list[str] = [
use_case['id']
for use_case in USE_CASES
if use_case.get('exclusive') and entry_domain in [normalize_text(d) for d in use_case.get('domains') or []]
]
# Intent next: a handoff stays a handoff even when its source domain is
# "Architecture". The domain mapping only rescues templates that no
# keyword classified.
matches += [
use_case['id']
for use_case in USE_CASES
if use_case['id'] not in matches
and any(normalize_text(keyword) in haystack for keyword in use_case['keywords'])
]
if matches:
return matches
for use_case in USE_CASES:
domains = [normalize_text(d) for d in use_case.get('domains') or []]
if entry_domain and entry_domain in domains:
matches.append(use_case['id'])
return matches
def make_readme(entry: dict, primary_use_case: str, secondary_use_cases: list[str], relative_dir: str) -> str:
title = entry['title']
description = entry.get('description') or ''
source_domain = entry.get('domain') or 'unknown'
tags = entry.get('tags') or []
lines = [
f'# {title}',
'',
description,
'',
f'**Template ID:** `{entry["slug"]}` ',
f'**Kind:** {detect_kind(entry)} ',
f'**Source domain:** {source_domain} ',
f'**Primary use case:** {primary_use_case} ',
f'**Secondary use cases:** {", ".join(secondary_use_cases) if secondary_use_cases else "None"} ',
f'**Complexity:** {entry.get("complexity", "n/a")}/5 ',
f'**Nodes:** {entry.get("numNodes", "n/a")} ',
f'**Lanes:** {entry.get("numLanes", "n/a")} ',
f'**Tags:** [{", ".join(tags)}] ',
f'**Source path:** `{entry.get("sourcePath", "")}` ',
f'**Repo path:** `{relative_dir}`',
'',
'## Files',
'- `workflow.fz` — FlowZap Code source',
'- `metadata.json` — Structured metadata',
]
return '\n'.join(lines).strip() + '\n'
KEPT_TOP_LEVEL_DIRS = {'scripts'}
def clean_repo_root() -> None:
# Remove every generated top-level directory, not a hardcoded list: when the
# taxonomy changes, folders produced by an earlier run would otherwise
# survive and leave the same template committed in two paths.
for path in REPO_ROOT.iterdir():
if path.is_dir() and path.name not in KEPT_TOP_LEVEL_DIRS and not path.name.startswith('.'):
shutil.rmtree(path)
for name in ('metadata.csv', 'templates.index.json', 'use-cases.index.json', 'README.md', 'CONTRIBUTING.md'):
path = REPO_ROOT / name
if path.exists():
path.unlink()
def write_root_docs(total_templates: int, counts: Counter) -> None:
readme_lines = [
'# sequence-workflows',
'',
f'A synchronized FlowZap template corpus with **{total_templates} canonical templates**, mirrored from the FlowZap template library and organized by **primary Use Case**.',
'',
'## Organization Model',
'',
'- Top-level folders are primary Use Cases from the FlowZap Templates dropdown.',
'- Second-level folders preserve the original source domain from the FlowZap app index.',
'- Each template keeps all matched Use Cases in `metadata.json` and the generated JSON/CSV indexes.',
'- Templates that do not match any current dropdown Use Case are placed under `uncategorized/`.',
'',
'## Top-Level Folders',
'',
]
for use_case in USE_CASES:
readme_lines.append(f'- `{use_case["id"]}/` — {use_case["labels"]["en"]} ({counts.get(use_case["id"], 0)})')
readme_lines.append(f'- `uncategorized/` — Unmatched canonical templates ({counts.get("uncategorized", 0)})')
readme_lines.extend([
'',
'## Generated Indexes',
'',
'- `templates.index.json` — Full machine-readable template index',
'- `use-cases.index.json` — Use Case summary with counts and template paths',
'- `metadata.csv` — Flat CSV export of core template metadata',
'',
'## Sync Source',
'',
'- Template library (source of truth): `src/templateLibrary/templatesIndex.json` in the FlowZap app',
'- Template file source: `public/template-files/*.fz` in the FlowZap app',
'- Public listing check: `https://flowzap.xyz/sitemap-templates.xml` — a template missing from the sitemap is still mirrored, this list only reports the gap',
])
(REPO_ROOT / 'README.md').write_text('\n'.join(readme_lines).strip() + '\n', encoding='utf-8')
contributing_lines = [
'# Contributing',
'',
'This repository is synchronized from the FlowZap application template library.',
'',
'## Structure',
'',
'- `primary-use-case/source-domain/template-slug/`',
'- `workflow.fz` contains the FlowZap Code source',
'- `metadata.json` stores machine-readable metadata including primary and secondary Use Cases',
'- `templates.index.json`, `use-cases.index.json`, and `metadata.csv` are generated artifacts',
'',
'## Sync Expectations',
'',
'- Keep the sitemap-driven template set aligned with `https://flowzap.xyz/sitemap-templates.xml`.',
'- Preserve one canonical template copy per slug.',
'- Use `primary_use_case` for folder placement and `use_cases` for the full taxonomy membership.',
'- Preserve `source_domain` from the app index for traceability.',
]
(REPO_ROOT / 'CONTRIBUTING.md').write_text('\n'.join(contributing_lines).strip() + '\n', encoding='utf-8')
def main() -> None:
if not FLOWZAP_APP_ROOT.exists():
raise SystemExit(f'FlowZap app not found at {FLOWZAP_APP_ROOT}')
canonical_slugs = load_canonical_slugs()
app_index = load_app_index()
clean_repo_root()
# The app index is the source of truth: it holds every template the product
# ships. The sitemap only says which of them are publicly listed, so it can
# lag behind a release and must never shrink the corpus.
sitemap_slugs = set(canonical_slugs)
app_order = list(app_index.keys())
sitemap_only = [slug for slug in canonical_slugs if slug not in app_index]
missing_from_sitemap = [slug for slug in app_order if slug not in sitemap_slugs]
templates_index: list[dict] = []
use_case_index = {use_case['id']: {'label': use_case['labels']['en'], 'count': 0, 'templates': []} for use_case in USE_CASES}
use_case_index['uncategorized'] = {'label': 'Uncategorized', 'count': 0, 'templates': []}
counts: Counter = Counter()
for slug in app_order:
entry = app_index[slug]
template_file = TEMPLATE_FILES_DIR / f'{slug}.fz'
if not template_file.exists():
raise SystemExit(f'Missing template file: {template_file}')
source_domain = entry.get('domain') or 'unknown'
source_domain_slug = slugify(source_domain)
use_cases = compute_use_cases(entry)
primary_use_case = use_cases[0] if use_cases else 'uncategorized'
secondary_use_cases = use_cases[1:]
kind = detect_kind(entry)
workflow_id = slug[:-9] if slug.endswith('-workflow') else slug
relative_dir = f'{primary_use_case}/{source_domain_slug}/{slug}'
target_dir = REPO_ROOT / relative_dir
target_dir.mkdir(parents=True, exist_ok=True)
shutil.copyfile(template_file, target_dir / 'workflow.fz')
metadata = {
'template_id': slug,
'workflow_id': workflow_id,
'title': entry['title'],
'kind': kind,
'source_domain': source_domain,
'primary_use_case': primary_use_case,
'secondary_use_cases': secondary_use_cases,
'use_cases': use_cases,
'complexity': entry.get('complexity'),
'num_nodes': entry.get('numNodes'),
'num_lanes': entry.get('numLanes'),
'tags': entry.get('tags') or [],
'description': entry.get('description') or '',
'source_path': entry.get('sourcePath') or '',
'repo_path': relative_dir,
}
(target_dir / 'metadata.json').write_text(json.dumps(metadata, indent=2, ensure_ascii=False) + '\n', encoding='utf-8')
(target_dir / 'README.md').write_text(make_readme(entry, primary_use_case, secondary_use_cases, relative_dir), encoding='utf-8')
record = {
'slug': slug,
'title': entry['title'],
'description': entry.get('description') or '',
'kind': kind,
'sourceDomain': source_domain,
'primaryUseCase': primary_use_case,
'secondaryUseCases': secondary_use_cases,
'useCases': use_cases,
'complexity': entry.get('complexity'),
'numNodes': entry.get('numNodes'),
'numLanes': entry.get('numLanes'),
'tags': entry.get('tags') or [],
'sourcePath': entry.get('sourcePath') or '',
'repoPath': relative_dir,
}
templates_index.append(record)
use_case_index[primary_use_case]['count'] += 1
use_case_index[primary_use_case]['templates'].append({'slug': slug, 'title': entry['title'], 'repoPath': relative_dir})
counts[primary_use_case] += 1
(REPO_ROOT / 'templates.index.json').write_text(json.dumps({'templates': templates_index}, indent=2, ensure_ascii=False) + '\n', encoding='utf-8')
(REPO_ROOT / 'use-cases.index.json').write_text(json.dumps({'useCases': use_case_index}, indent=2, ensure_ascii=False) + '\n', encoding='utf-8')
with (REPO_ROOT / 'metadata.csv').open('w', encoding='utf-8', newline='') as handle:
writer = csv.DictWriter(handle, fieldnames=['template_id', 'workflow_id', 'title', 'kind', 'source_domain', 'primary_use_case', 'secondary_use_cases', 'use_cases', 'complexity', 'num_nodes', 'num_lanes', 'tags', 'description', 'source_path', 'repo_path'])
writer.writeheader()
for item in templates_index:
writer.writerow({
'template_id': item['slug'],
'workflow_id': item['slug'][:-9] if item['slug'].endswith('-workflow') else item['slug'],
'title': item['title'],
'kind': item['kind'],
'source_domain': item['sourceDomain'],
'primary_use_case': item['primaryUseCase'],
'secondary_use_cases': ';'.join(item['secondaryUseCases']),
'use_cases': ';'.join(item['useCases']),
'complexity': item['complexity'],
'num_nodes': item['numNodes'],
'num_lanes': item['numLanes'],
'tags': ';'.join(item['tags']),
'description': item['description'],
'source_path': item['sourcePath'],
'repo_path': item['repoPath'],
})
write_root_docs(len(templates_index), counts)
print(f'Synchronized {len(templates_index)} templates into {REPO_ROOT}')
if missing_from_sitemap:
print(f'Not yet in sitemap-templates.xml ({len(missing_from_sitemap)}): {", ".join(missing_from_sitemap[:15])}')
if sitemap_only:
print(f'Sitemap entries without template metadata, skipped ({len(sitemap_only)}): {", ".join(sitemap_only[:10])}')
if __name__ == '__main__':
main()