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702222d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | from __future__ import annotations
import logging
import os
from .manual import discover_metadata_txt, ingest_manuals, resolve_local_mp4
from .metadata import parse_metadata_txt
from .pdf_manual import ingest_pdf_manual
from .pipeline import run_etl
logger = logging.getLogger(__name__)
def batch_build_index(
*,
data_root: str,
runs_root: str = "runs",
skip_existing_runs: bool = True,
skip_vlm_if_no_ollama: bool = False,
include_pdf: bool = False,
pdf_path: str | None = None,
vehicle_metadata: dict | None = None,
pdf_pages_per_chunk: int = 2,
**etl_kwargs,
) -> dict:
"""
For each metadata .txt under data_root:
1) Always upsert manual procedure doc (via full manual scan at end, or per-file ETL metadata)
2) If local .mp4 exists, run video ETL into runs/<safe_id>/
"""
txt_paths = discover_metadata_txt(data_root)
os.makedirs(runs_root, exist_ok=True)
processed_videos = 0
skipped_videos = 0
missing_mp4 = 0
errors: list[str] = []
for meta_path in txt_paths:
mp4 = resolve_local_mp4(meta_path)
if not mp4:
missing_mp4 += 1
continue
meta = parse_metadata_txt(meta_path)
safe_id = _safe_run_id(meta_path)
out_dir = os.path.join(runs_root, safe_id)
if skip_existing_runs and os.path.isfile(os.path.join(out_dir, "summary.json")):
skipped_videos += 1
continue
try:
run_etl(
video_path=mp4,
metadata_path=meta_path,
out_dir=out_dir,
**etl_kwargs,
)
processed_videos += 1
except Exception as e:
msg = f"{meta_path}: {e}"
logger.exception(msg)
errors.append(msg)
manual_summary = ingest_manuals(
root_dir=data_root,
embed_model=etl_kwargs.get("embed_model", "text-embedding-v3"),
embed_backend=etl_kwargs.get("embed_backend", "cloud"),
ollama_host=etl_kwargs.get("ollama_host"),
qdrant_path=etl_kwargs.get("qdrant_path", ".fixsense_qdrant"),
collection=etl_kwargs.get("collection", "fixsense_rag"),
use_chroma=etl_kwargs.get("use_chroma", False),
)
pdf_summary = None
if include_pdf and pdf_path:
pdf_summary = ingest_pdf_manual(
pdf_path=pdf_path,
vehicle_metadata=vehicle_metadata,
pages_per_chunk=pdf_pages_per_chunk,
embed_model=etl_kwargs.get("embed_model", "text-embedding-v3"),
embed_backend=etl_kwargs.get("embed_backend", "cloud"),
ollama_host=etl_kwargs.get("ollama_host"),
qdrant_path=etl_kwargs.get("qdrant_path", ".fixsense_qdrant"),
collection=etl_kwargs.get("collection", "fixsense_rag"),
use_chroma=etl_kwargs.get("use_chroma", False),
)
return {
"data_root": data_root,
"metadata_files": len(txt_paths),
"processed_videos": processed_videos,
"skipped_videos": skipped_videos,
"missing_mp4": missing_mp4,
"manual_ingest": manual_summary,
"pdf_ingest": pdf_summary,
"errors": errors,
"skip_vlm_if_no_ollama": skip_vlm_if_no_ollama,
}
def _safe_run_id(metadata_path: str) -> str:
base = os.path.splitext(os.path.basename(metadata_path))[0]
safe = "".join(c if c.isalnum() or c in "-_" else "_" for c in base)
return safe[:120]
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