InterferenceETL/README.md

InterferenceETL

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

The summary columns are:

hour_start,hour_end,source_type,cgi,cell_name,interference_dbm,source_path

The script never modifies or deletes source storage files. By default it writes the complete selected hour to MySQL 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. 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.

MySQL connection values, database metrix, and table interference_hourly_summary are constants at the top of main.py; they are not project environment variables.

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 plus openpyxl, et_xmlfile, and PyMySQL. The builder verifies imports 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 ZIP is 325,489 bytes with SHA-256 4F655D35F89A826F28A41578C9EE3E347CE31A27619D3D06AE0FD9587660DCAF.

Create the project, then upload and extract the ZIP in its Script Management workspace. 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

Configure only the Metrix source settings in the project environment:

{
  "METRIX_API_BASE_URL": "http://172.17.0.1:8000",
  "METRIX_API_TOKEN": "<Metrix API token>",
  "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"
}

172.17.0.1 is the current Linux Docker default-bridge gateway used by the script to reach both the Metrix API and the host-published MySQL port. ShareMySQL itself does not resolve from the script project's bridge network.

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
--api-base URL         Metrix API base URL
--api-token TOKEN      Metrix API token
--storage-id ID        Metrix storage connection ID
--root PATH            Source directory in Metrix storage
--no-database          Generate CSV files without writing MySQL