InterferenceETL processes the newest complete hour of interference KPI files from Metrix storage. It reads seven ZIP/XLSX source types, converts each Sheet0 to CSV, and creates one merged interference summary.

Output

Each run writes one window directory:

output/2026073110001100/
├── converted/
│   ├── 5G下FDD干扰监控_2026073110001100.csv
│   ├── 5G干扰监控_2026073110001100.csv
│   └── ... seven source CSV files
├── interference_summary_2026073110001100.csv
└── manifest.json

For every run, the script also reads the latest filename-dated XLSX from each configured CellData directory. It builds CellData CGI as 460-00-{eNB/gNB}-{CI} and adds coordinates to matching interference rows. Unmatched rows keep empty coordinates.

The summary columns are:

hour_start,hour_end,cgi,cell_name,interference_dbm,longitude,latitude

The script never modifies or deletes source storage files. By default it writes the complete selected hour through the Metrix Database API and keeps only that hour in the target table.

The database table contains one time column, metric_time DATETIME, which is the source KPI start time, plus nullable longitude and latitude columns. A same-hour rerun replaces that whole batch. After a successful insert, rows for every other hour are deleted in the same transaction. The script refuses to replace a newer database hour with an older source hour.

CGI is generated with fixed rules:

NR (5G干扰监控, 700M干扰监控): {gNBplmn}-{gNBId}-{cellId}.
4G (the other five source types): 460-00-{eNodeBID}-{小区ID}, using each source schema's actual equivalent column names.

The Metrix API address, API Token, and database connection ID are constants in runtime_config.py; they are not project environment variables. Copy runtime_config.example.py to runtime_config.py and fill in the actual Token and the conn_id of ShareMySQL. The fixed database is interference_etl, the fixed table is interference_hourly_summary, and the script creates both automatically when they do not exist.

The five CellData directories are fixed in CELL_DATA_DIRECTORIES. In each directory, only XLSX files ending with a valid YYYYMMDD.xlsx date are considered, and the latest date is selected.

Local development

python -m pip install -r requirements.txt
python -m unittest discover -s tests -v
python main.py --source-dir C:\path\to\mock-or-exported-tree --output-dir output --no-database

Use --window 2026073110001100 to require one exact source window. Without it, the script selects the newest window containing all seven source types and falls back if the newest observed window is incomplete.

Metrix Script Management

The target server is offline. Build the dependency image locally, then generate a self-contained Script Management upload ZIP:

docker build -t interference-etl-runtime:1.1 .
python scripts\build_offline_package.py

The generated dist/InterferenceETL-offline-1.1.zip contains main.py, runtime_config.py, a ZIP execution entry point, and a vendor/ directory containing openpyxl and et_xmlfile. The builder verifies imports and ZIP execution using the standard python:3.13.11-slim image, so the uploaded workspace does not need an online pip install or a custom runtime image. The build fails when runtime_config.py is missing.

Create the project, then upload and extract the ZIP in its Script Management workspace. The normal file tree should contain main.py at /workspace/main.py. Use these project settings:

Name: InterferenceETL
Language: python
Base image: python:3.13.11-slim
Network: bridge
Run command: python main.py
Timeout: 1800 seconds

If the server keeps the ZIP as one file instead of extracting it, use python InterferenceETL-offline-1.1.zip as the run command. The ZIP contains __main__.py for this mode.

Configure only run-specific source and output settings in the project environment:

{
  "METRIX_STORAGE_ID": "stg_4d9a910d72",
  "INTERFERENCE_SOURCE_ROOT": "/网优日常优化数据文档/(勿删)干扰定时小时指标",
  "INTERFERENCE_OUTPUT_DIR": "/workspace/output",
  "INTERFERENCE_LOOKBACK_DAYS": "3"
}

Both storage reads and database writes use the Metrix API at http://188.5.127.115:18271. SSH remains the deployment and operational channel for uploading files, starting runs, and reading logs.

CLI options

--source-dir PATH      Read a local directory tree instead of Metrix API
--output-dir PATH      Output root, default output or INTERFERENCE_OUTPUT_DIR
--window WINDOW        Require an exact 16-digit source window
--lookback-days N      Number of newest date directories scanned, default 3
--storage-id ID        Metrix storage connection ID
--root PATH            Source directory in Metrix storage
--no-database          Generate CSV files without writing the database