- Job wizard now calls real API: create job → upload source → launch - Dashboard and monitoring pages use live data instead of mock data - Monitoring page polls every 3s while job is active - Backend enriches job responses with client_name, created_by_name, source_line_count from eager-loaded relationships - Frontend response mappers handle backend→frontend type differences (lowercase enum values, field name mapping, computed progress/stage) - Source file parser accepts column aliases (Line type, Context notes) with case-insensitive matching for real-world Excel files - Clients list endpoint accessible to all authenticated users - Fixed uploadSource to use PUT, uploadSupplementary per-file - Removed all hardcoded mock data from useJobs hook Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
122 lines
4 KiB
Python
122 lines
4 KiB
Python
"""Parse source xlsx files into structured source line data.
|
|
|
|
Validates the expected column headers with flexible alias support:
|
|
EN_GB (required), Copy Type / Line type, Creative Guidance / Context notes,
|
|
Visual Ref, Char Limit.
|
|
|
|
Skips rows where EN_GB is empty. Detects \\n in EN_GB for is_display_format.
|
|
"""
|
|
|
|
from typing import Any
|
|
|
|
from openpyxl import load_workbook
|
|
|
|
# Map of canonical field name -> list of accepted header variations (case-insensitive)
|
|
HEADER_ALIASES: dict[str, list[str]] = {
|
|
"en_gb": ["en_gb"],
|
|
"copy_type": ["copy type", "line type", "copy_type", "linetype"],
|
|
"creative_guidance": ["creative guidance", "context notes", "creative_guidance", "context_notes", "guidance"],
|
|
"visual_ref": ["visual ref", "visual_ref", "visual reference"],
|
|
"char_limit": ["char limit", "char_limit", "character limit", "charlimit"],
|
|
}
|
|
|
|
REQUIRED_FIELDS = ["en_gb"]
|
|
|
|
|
|
class SourceFileParseError(Exception):
|
|
"""Raised when the source file has validation errors."""
|
|
pass
|
|
|
|
|
|
def _resolve_headers(raw_headers: list[str]) -> dict[str, int]:
|
|
"""Match raw file headers to canonical field names using aliases.
|
|
|
|
Returns a dict mapping canonical field name -> column index.
|
|
"""
|
|
resolved: dict[str, int] = {}
|
|
lower_headers = [h.lower().strip() for h in raw_headers]
|
|
|
|
for field, aliases in HEADER_ALIASES.items():
|
|
for alias in aliases:
|
|
if alias in lower_headers:
|
|
resolved[field] = lower_headers.index(alias)
|
|
break
|
|
|
|
return resolved
|
|
|
|
|
|
def parse_source_file(file_path: str) -> list[dict[str, Any]]:
|
|
"""Parse a source xlsx file and return a list of source line dicts.
|
|
|
|
Args:
|
|
file_path: Absolute path to the xlsx file.
|
|
|
|
Returns:
|
|
List of dicts with keys: en_gb, copy_type, creative_guidance,
|
|
visual_ref, char_limit, is_display_format.
|
|
|
|
Raises:
|
|
SourceFileParseError: If required headers are missing or file cannot be read.
|
|
"""
|
|
try:
|
|
wb = load_workbook(file_path, read_only=True, data_only=True)
|
|
except Exception as exc:
|
|
raise SourceFileParseError(f"Cannot open xlsx file: {exc}")
|
|
|
|
ws = wb.active
|
|
if ws is None:
|
|
raise SourceFileParseError("Workbook has no active sheet")
|
|
|
|
# Read and validate headers from first row
|
|
rows = ws.iter_rows(min_row=1, max_row=1, values_only=True)
|
|
first_row = next(rows, None)
|
|
if first_row is None:
|
|
raise SourceFileParseError("File is empty - no header row found")
|
|
|
|
raw_headers = [str(cell).strip() if cell else "" for cell in first_row]
|
|
col_map = _resolve_headers(raw_headers)
|
|
|
|
# Validate required fields
|
|
for field in REQUIRED_FIELDS:
|
|
if field not in col_map:
|
|
raise SourceFileParseError(
|
|
f"Missing required column matching '{field}'. "
|
|
f"Found headers: {raw_headers}. "
|
|
f"Accepted aliases: {HEADER_ALIASES[field]}"
|
|
)
|
|
|
|
# Parse data rows
|
|
source_lines: list[dict[str, Any]] = []
|
|
for row in ws.iter_rows(min_row=2, values_only=True):
|
|
en_gb_idx = col_map["en_gb"]
|
|
en_gb_raw = row[en_gb_idx] if en_gb_idx < len(row) else None
|
|
|
|
# Skip rows where EN_GB is empty
|
|
if en_gb_raw is None or str(en_gb_raw).strip() == "":
|
|
continue
|
|
|
|
en_gb = str(en_gb_raw).strip()
|
|
|
|
# Detect display format: presence of \n in EN_GB text
|
|
is_display_format = "\n" in en_gb
|
|
|
|
def _get_cell(field: str) -> str | None:
|
|
idx = col_map.get(field)
|
|
if idx is None or idx >= len(row):
|
|
return None
|
|
val = row[idx]
|
|
if val is None:
|
|
return None
|
|
return str(val).strip() or None
|
|
|
|
source_lines.append({
|
|
"en_gb": en_gb,
|
|
"copy_type": _get_cell("copy_type"),
|
|
"creative_guidance": _get_cell("creative_guidance"),
|
|
"visual_ref": _get_cell("visual_ref"),
|
|
"char_limit": _get_cell("char_limit"),
|
|
"is_display_format": is_display_format,
|
|
})
|
|
|
|
wb.close()
|
|
return source_lines
|