Create github workflow python.yml

Author: vimt

.github/pull_request_template.md

@@ -0,0 +1,40 @@
+## Which issue does this PR close?
+
+<!--
+We generally require a GitHub issue to be filed for all bug fixes and enhancements and this helps us generate change logs for our releases. You can link an issue to this PR using the GitHub syntax. For example `Closes #123` indicates that this PR will close issue #123.
+-->
+
+Closes #.
+
+## Rationale for this change
+
+<!--
+ Why are you proposing this change? If this is already explained clearly in the issue then this section is not needed.
+ Explaining clearly why changes are proposed helps reviewers understand your changes and offer better suggestions for fixes.  
+-->
+
+## What changes are included in this PR?
+
+<!--
+There is no need to duplicate the description in the issue here but it is sometimes worth providing a summary of the individual changes in this PR.
+-->
+
+## Are these changes tested?
+
+<!--
+We typically require tests for all PRs in order to:
+1. Prevent the code from being accidentally broken by subsequent changes
+2. Serve as another way to document the expected behavior of the code
+
+If tests are not included in your PR, please explain why (for example, are they covered by existing tests)?
+-->
+
+## Are there any user-facing changes?
+
+<!--
+If there are user-facing changes then we may require documentation to be updated before approving the PR.
+-->
+
+<!--
+If there are any breaking changes to public APIs, please add the `api change` label.
+-->

.github/workflows/python.yml

@@ -0,0 +1,51 @@
+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python application
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Setup Go environment
+      uses: actions/[email protected]
+      with:
+        go-version: '1.22'
+    - name: Setup Java JDK
+      uses: actions/[email protected]
+      with:
+        distribution: 'temurin'
+        java-version: '22'
+        cache: maven
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.10"
+    - name: Install dependencies
+      run: |
+        sudo add-apt-repository ppa:maxmind/ppa
+        sudo apt update
+        sudo apt install libmaxminddb0 libmaxminddb-dev
+        python -m pip install --upgrade pip
+        pip install netaddr maxminddb ruff pytest pytest-cov
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+        python -V
+    - name: Check with ruff
+      run: |
+        ruff check
+        ruff format --check
+    - name: Test with pytest
+      run: |
+        pytest tests/* 

README.md

@@ -37,7 +37,7 @@ When generating an MMDB file for use with the Java client, you must specify the
 ```python
 from mmdb_writer import MMDBWriter
 
-writer = MMDBWriter(int_type='int32')
+writer = MMDBWriter(int_type='i32')
 ```
 
 Alternatively, you can explicitly specify data types using the [Type Enforcement](#type-enforcement) section.

mmdb_writer.py

@@ -134,14 +134,26 @@ def __repr__(self):
 
 
 IntType = Union[
-    Literal["auto", "u16", "u32", "u64", "u128", "i32"]
+    Literal[
+        "auto",
+        "u16",
+        "u32",
+        "u64",
+        "u128",
+        "i32",
+        "uint16",
+        "uint32",
+        "uint64",
+        "uint128",
+        "int32",
+    ]
     | MmdbU16
     | MmdbU32
     | MmdbU64
     | MmdbU128
     | MmdbI32
 ]
-FloatType = Union[Literal["f32", "f64"] | MmdbF32 | MmdbF64]
+FloatType = Union[Literal["f32", "f64", "float32", "float64"] | MmdbF32 | MmdbF64]
 
 
 class Encoder(object):
@@ -320,21 +332,25 @@ def python_type_id(self, value):
                     return MMDBTypeID.INT32
                 else:
                     return MMDBTypeID.UINT16
-            elif self.int_type in ("u16", MmdbU16):
+            elif self.int_type in ("u16", "uint16", MmdbU16):
                 return MMDBTypeID.UINT16
-            elif self.int_type in ("u32", MmdbU32):
+            elif self.int_type in ("u32", "uint32", MmdbU32):
                 return MMDBTypeID.UINT32
-            elif self.int_type in ("u64", MmdbU64):
+            elif self.int_type in ("u64", "uint64", MmdbU64):
                 return MMDBTypeID.UINT64
-            elif self.int_type in ("u128", MmdbU128):
+            elif self.int_type in ("u128", "uint128", MmdbU128):
                 return MMDBTypeID.UINT128
-            elif self.int_type in ("i32", MmdbI32):
+            elif self.int_type in ("i32", "int32", MmdbI32):
                 return MMDBTypeID.INT32
+            else:
+                raise ValueError(f"unknown int_type={self.int_type}")
         elif value_type is float:
-            if self.float_type in ("f32", MmdbF32):
+            if self.float_type in ("f32", "float32", MmdbF32):
                 return MMDBTypeID.FLOAT
-            else:
+            elif self.float_type in ("f64", "float64", MmdbF64):
                 return MMDBTypeID.DOUBLE
+            else:
+                raise ValueError(f"unknown float_type={self.float_type}")
         elif value_type is Decimal:
             return MMDBTypeID.DOUBLE
         raise TypeError("unknown type {value_type}".format(value_type=value_type))
@@ -394,11 +410,11 @@ class TreeWriter(object):
     encoder_cls = Encoder
 
     def __init__(
-            self,
-            tree: "SearchTreeNode",
-            meta: dict,
-            int_type: IntType = "auto",
-            float_type: FloatType = "f64",
+        self,
+        tree: "SearchTreeNode",
+        meta: dict,
+        int_type: IntType = "auto",
+        float_type: FloatType = "f64",
     ):
         self._node_idx = {}
         self._leaf_offset = {}

tests/record.py

@@ -11,7 +11,6 @@
     MmdbU32,
     MmdbU64,
     MmdbU128,
-    MmdbBaseType,
 )
 
 

tests/test.py

@@ -8,8 +8,7 @@
 import maxminddb
 from netaddr import IPSet
 
-from mmdb_writer import MMDBWriter
-from tests.record import Record
+from mmdb_writer import MMDBWriter, MmdbI32, MmdbU16, MmdbU32, MmdbU64, MmdbU128
 
 logging.basicConfig(
     format="[%(asctime)s: %(levelname)s] %(message)s", level=logging.INFO
@@ -71,20 +70,24 @@ def test_insert_subnet(self):
             m.close()
 
     def test_int_type(self):
-        value_range_map = {
-            "i32": (-(2 ** 31), 2 ** 31 - 1),
-            "u16": (0, 2 ** 16 - 1),
-            "u32": (0, 2 ** 32 - 1),
-            "u64": (0, 2 ** 64 - 1),
-            "u128": (0, 2 ** 128 - 1),
-        }
-        for int_type in ("i32", "u16", "u32", "u64", "u128"):
+        value_range_map = {}
+        value_range_map.update(
+            {k: (-(2**31), 2**31 - 1) for k in ("i32", "int32", MmdbI32)}
+        )
+        value_range_map.update({k: (0, 2**16 - 1) for k in ("u16", "uint16", MmdbU16)})
+        value_range_map.update({k: (0, 2**32 - 1) for k in ("u32", "uint32", MmdbU32)})
+        value_range_map.update({k: (0, 2**64 - 1) for k in ("u64", "uint64", MmdbU64)})
+        value_range_map.update(
+            {k: (0, 2**128 - 1) for k in ("u128", "uint128", MmdbU128)}
+        )
+
+        for int_type, value_range in value_range_map.items():
             writer = MMDBWriter(int_type=int_type)
 
-            (start, end) = value_range_map[int_type]
+            (start, end) = value_range
             ok_value = random.randint(start, end)
-            bad_value1 = random.randint(end + 1, end + 2 ** 16)
-            bad_value2 = random.randint(start - 2 ** 16, start - 1)
+            bad_value1 = random.randint(end + 1, end + 2**16)
+            bad_value2 = random.randint(start - 2**16, start - 1)
             writer.insert_network(IPSet(["1.0.0.0/8"]), {"value": ok_value})
             writer.to_db_file(self.filename)
             for bad_value in (bad_value1, bad_value2):