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# CLAUDE.md — Python Module
This file provides guidance to Claude Code (claude.ai/code) when working with the Python module.
## Prerequisites
The Python module depends on the C++ shared library (`libtsfile`). **Build C++ first:**
```bash
# From repo root
./mvnw clean package -P with-cpp -DskipTests
```
## Build Commands
```bash
# Build everything via Maven (builds C++ then Python)
./mvnw clean verify -P with-python
# Or build directly (after C++ is built)
cd python
python setup.py build_ext --inplace
# Run tests
pytest tests/
# Run a single test
pytest tests/test_write_and_read.py -k "test_name"
# Format code
cd ../ && ./mvnw spotless:apply # Uses Black 26.3.1
```
## Source Structure
```
python/tsfile/
├── __init__.py # Public API exports
├── constants.py # Enums: TSDataType, TSEncoding, Compressor, ColumnCategory
├── schema.py # TimeseriesSchema, DeviceSchema, TableSchema, ColumnSchema
├── tablet.py # Tablet class for batch columnar data
├── field.py / row_record.py # Row-based data structures
├── tag_filter.py # Tag filtering DSL for queries
├── tsfile_table_writer.py # High-level table writer API
├── utils.py # to_dataframe(), dataframe_to_tsfile()
├── exceptions.py # Custom exception types
├── tsfile_py_cpp.pyx # Cython core: Python ↔ C++ type conversion
├── tsfile_reader.pyx # Cython reader wrapper
├── tsfile_writer.pyx # Cython writer wrapper
├── tsfile_cpp.pxd # C++ interface declarations (cwrapper)
└── dataset/ # High-level multi-file API
├── dataframe.py # TsFileDataFrame (pandas-like interface)
├── timeseries.py # Timeseries, AlignedTimeseries
├── reader.py # Multi-file reader coordination
└── merge.py # K-way merge for overlapping time ranges
```
## Architecture Notes
- **Layered design**: C++ core → Cython bridge (`*.pyx`) → Pure Python API
- `setup.py` copies pre-built C++ headers and shared libraries from `../cpp/target/build/`
- Cython binds to `cwrapper/tsfile_cwrapper.h` from the C++ module
- C error codes are mapped to Python exceptions via `check_error()` in `tsfile_py_cpp.pyx`
- Requires Python 3.9+, numpy >= 2.0, pandas >= 2.0, pyarrow >= 16.0
## Code Style
- **Formatter**: Black 26.3.1 (via Spotless Maven plugin)
## Testing
- **Framework**: pytest
- Tests in `python/tests/`, 19 test files covering write, read, filtering, DataFrame conversion, and Arrow format
## License Header
Every new file must include the Apache License 2.0 header at the top. For Python files, use `#` line comments. For `.pyx`/`.pxd` files, also use `#` comments. See any existing file for the exact wording.
## Git Commit
- Do NOT add `Co-Authored-By` trailer to commit messages.