lhm-report-summary

Gets the overview statistics of a specified LHM data validation batch, including task name, validation template, table-level pass/fail counts, pass rate, difference rate, etc.

Steps

1. Parse the command-line arguments (batch-id, region, etc.).
2. Call build_client_from_config() to build the LHM client (the network layer goes through the aliyun CLI, read from data_validation_config.yaml, with CLI arguments taking precedence).
3. Call summarize_batch() to get the batch overview; redirect sys.stdout to capture the log prints inside the common functions and avoid polluting stdout.
4. Add "ok": true to the returned dict and output the JSON to stdout.
5. On any exception output JSON to stderr and exit(1).

Pitfalls

• The batch must have finished executing (exec_status=4), otherwise GetDataCheckReportOverview may return incomplete data.
• --batch-id is a required argument; missing it triggers an argparse error.
• Credentials are resolved through the default credential chain (environment variables / RAM Role / ~/.alibabacloud/credentials); the script never accepts AK/SK as command-line arguments.
• The common functions may use print internally for logs; the script captures them via io.StringIO and writes them to stderr, so stdout contains only the final JSON.

Verification

• For a valid batch, stdout should output something like:

  {
    "ok": true,
    "task_name": "逐表数据量校验",
    "template": "MIX",
    "total_tables": 13,
    "pass_tables": 11,
    "fail_tables": 2,
    "pass_rate": "84.62%",
    "column_pass_rate": 0.95,
    "diff_rate": "15.38%",
    "exec_status": 4,
    "check_result": 2
  }
  

• Running python -m py_compile atomic-skills/lhm-report-summary/scripts/run.py produces no syntax errors.

Input/Output Examples

python atomic-skills/lhm-report-summary/scripts/run.py \
  --batch-id 67890 \
  --region hangzhou

Successful output:

{"ok": true, "task_name": "逐表数据量校验", "template": "MIX", "total_tables": 13, "pass_tables": 11, "fail_tables": 2, "pass_rate": "84.62%", "column_pass_rate": 0.95, "diff_rate": "15.38%", "exec_status": 4, "check_result": 2}