98fa16bfc3
Full-stack Amazon AI Transcreation Platform with: - FastAPI backend (async, PostgreSQL, Redis, Celery) with 11 DB tables - JWT auth (SSO-ready abstract provider pattern) - 6-agent pipeline orchestrator with deterministic modules - Next.js 14 frontend with Amazon branding (Ember fonts, orange/dark theme) - Job wizard, monitoring HUD, output review, admin screens - 154 TM/reference files imported, 12 locales configured - Docker Compose for all services Agents 2-5 (TM retrieval, ranker, transcreator, compliance) are stubs pending Phase 3 LLM integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
121 lines
3.7 KiB
Python
121 lines
3.7 KiB
Python
"""Validate date and percentage format strings against approved locale formats.
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Checks that dates and percentages in transcreated text conform to the
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locale-specific format rules defined in the date/percentage format file.
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"""
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import re
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from dataclasses import dataclass
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@dataclass
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class FormatViolation:
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"""A detected date/percentage format violation."""
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found: str
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expected_format: str
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description: str
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def validate_date_formats(
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text: str,
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approved_formats: list[dict],
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) -> list[FormatViolation]:
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"""Validate date strings in text against approved formats.
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Args:
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text: The text containing dates to validate.
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approved_formats: List of dicts with keys:
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- pattern: str (regex pattern for valid format)
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- example: str (example of the correct format)
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- description: str
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Returns:
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List of FormatViolation instances.
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"""
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if not text or not approved_formats:
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return []
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violations: list[FormatViolation] = []
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# Common date-like patterns to detect
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date_patterns = [
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# DD/MM/YYYY, MM/DD/YYYY, YYYY/MM/DD
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r"\b\d{1,2}[/\-.]\d{1,2}[/\-.]\d{2,4}\b",
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# Month DD, YYYY
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r"\b(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]*\.?\s+\d{1,2},?\s+\d{4}\b",
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# DD Month YYYY
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r"\b\d{1,2}\s+(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[a-z]*\.?\s+\d{4}\b",
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]
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for date_pattern in date_patterns:
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for match in re.finditer(date_pattern, text, re.IGNORECASE):
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found_date = match.group()
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is_valid = False
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for fmt in approved_formats:
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pattern = fmt.get("pattern", "")
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if pattern and re.match(pattern, found_date, re.IGNORECASE):
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is_valid = True
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break
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if not is_valid and approved_formats:
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examples = [
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fmt.get("example", "") for fmt in approved_formats if fmt.get("example")
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]
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violations.append(
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FormatViolation(
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found=found_date,
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expected_format=", ".join(examples[:3]),
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description=f"Date format '{found_date}' does not match approved formats",
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)
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)
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return violations
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def validate_percentage_formats(
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text: str,
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approved_formats: list[dict],
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) -> list[FormatViolation]:
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"""Validate percentage strings in text against approved formats.
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Args:
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text: The text containing percentages to validate.
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approved_formats: List of dicts with keys:
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- pattern: str (regex)
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- example: str
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- description: str
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Returns:
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List of FormatViolation instances.
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"""
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if not text or not approved_formats:
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return []
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violations: list[FormatViolation] = []
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# Find percentage-like patterns
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pct_pattern = r"\b\d+[\.,]?\d*\s*[%％]\b"
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for match in re.finditer(pct_pattern, text):
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found_pct = match.group()
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is_valid = False
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for fmt in approved_formats:
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pattern = fmt.get("pattern", "")
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if pattern and re.match(pattern, found_pct):
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is_valid = True
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break
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if not is_valid and approved_formats:
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examples = [
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fmt.get("example", "") for fmt in approved_formats if fmt.get("example")
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]
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violations.append(
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FormatViolation(
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found=found_pct,
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expected_format=", ".join(examples[:3]),
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description=f"Percentage format '{found_pct}' does not match approved formats",
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)
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)
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return violations
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