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Copy pathanalysis_batch.py
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80 lines (66 loc) · 2.41 KB
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import csv
import os
from concurrent.futures import ThreadPoolExecutor
from analysis_console import log_batch_plan_summary
from ucomx_models import AnalysisMode
from ucomx_service import analyze_plan_file
def process_batch(
*,
logger,
filepaths,
output_csv,
header,
build_row,
metadata_filter,
precheck=None,
requested_mode=AnalysisMode.AUTO,
):
with open(output_csv, "w", newline="") as f:
writer = csv.writer(f, delimiter=",", lineterminator="\n")
writer.writerow(header)
max_workers = min(4, max(1, os.cpu_count() or 1))
with ThreadPoolExecutor(max_workers=max_workers) as executor:
for row in executor.map(
lambda pfile: _process_batch_file(
logger=logger,
pfile=pfile,
build_row=build_row,
metadata_filter=metadata_filter,
precheck=precheck,
requested_mode=requested_mode,
),
filepaths,
):
if row is not None:
writer.writerow(row)
def _process_batch_file(*, logger, pfile, build_row, metadata_filter, precheck, requested_mode):
logger.info("Processing file: %s", pfile)
if precheck is not None:
try:
should_continue = precheck(logger, pfile)
except Exception as exc:
logger.exception("Skipping file due to precheck failure %s: %s", pfile, exc)
return None
if not should_continue:
return None
try:
result = analyze_plan_file(pfile, requested_mode=requested_mode)
metadata = result.metadata
except Exception as exc:
logger.exception("Skipping file due to parse failure %s: %s", pfile, exc)
return None
log_batch_plan_summary(logger, metadata)
if not result.supported:
logger.warning("Skipping file %s: %s", pfile, " | ".join(result.warnings) or "unsupported plan")
return None
keep_reason = metadata_filter(metadata)
if keep_reason is not None:
logger.warning("Skipping file %s: %s", pfile, keep_reason)
return None
try:
row = build_row(metadata, result.metrics)
except Exception as exc:
logger.exception("Skipping file due to metric/export failure %s: %s", pfile, exc)
return None
logger.debug("CSV row for %s: %s", pfile, row)
return row