Use uv for Python dependency management and code execution

src/datetime_parsing_csv/python/main.py

@@ -13,7 +13,9 @@ def modify_fields(item: dict, i: int) -> dict:
     new_item: dict[str, Any] = dict()
     new_item["id"] = i
     new_item["name"] = item["name"]
-    new_item["dob"] = datetime.strptime(item["dob"], "%m-%d-%Y").date() if item.get("dob") else None
+    new_item["dob"] = (
+        datetime.strptime(item["dob"], "%m-%d-%Y").date() if item.get("dob") else None
+    )
     new_item["age"] = item["age"]
     new_item["isMarried"] = item["isMarried"]
     new_item["city"] = item["city"]

src/hello_world/README.md

@@ -4,8 +4,10 @@ Simple hello world program to show how this repo is organized 😀.
 
 ## How to run the Python program
 
+The `uv` package manager is used to run the Python program.
+
 ```bash
-python hello_world.py
+uv run main.py
 ```
 
 ### Output

src/hello_world/python/.python-version

@@ -0,0 +1 @@
+3.12

src/hello_world/python/pyproject.toml

@@ -0,0 +1,7 @@
+[project]
+name = "proj"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = []

src/intro/python/main.py

@@ -89,7 +89,9 @@ def run5() -> None:
     persons = [Person("Aiko", 41), Person("Rohan", 18)]
     sorted_by_age = sorted(persons, key=lambda person: person.age)
     youngest_person = sorted_by_age[0]
-    print(f"{youngest_person.name} is the youngest person at {youngest_person.age} years old")
+    print(
+        f"{youngest_person.name} is the youngest person at {youngest_person.age} years old"
+    )
     """
     Rohan is the youngest person at 18 years old
     """
@@ -117,7 +119,9 @@ def run7() -> None:
     """
     persons = [Person("Issa", 39), Person("Ibrahim", 26)]
     persons_born_after_1995 = [
-        (person.name, person.age) for person in persons if approx_year_of_birth(person) > 1995
+        (person.name, person.age)
+        for person in persons
+        if approx_year_of_birth(person) > 1995
     ]
     print(f"Persons born after 1995: {persons_born_after_1995}")
     """

src/meilisearch_with_cli/python/main.py

@@ -18,25 +18,39 @@
 console = Console()
 
 
-async def preform_indexing(data: List[dict[str, Any]], index_name: str, wait: bool) -> None:
+async def preform_indexing(
+    data: List[dict[str, Any]], index_name: str, wait: bool
+) -> None:
     async with AsyncClient(MEILISEARCH_URL, MEILISEARCH_API_KEY) as client:
         index = client.index(index_name)
         tasks = await index.add_documents_in_batches(data)
         if wait:
-            waits = [client.wait_for_task(task.task_uid, timeout_in_ms=None) for task in tasks]
+            waits = [
+                client.wait_for_task(task.task_uid, timeout_in_ms=None)
+                for task in tasks
+            ]
             await asyncio.gather(*waits)
 
 
 @app.command()
 def create_index(
-    index_name: str = Option("wine", "-i", "--index-name", help="The name to use for the index"),
+    index_name: str = Option(
+        "wine", "-i", "--index-name", help="The name to use for the index"
+    ),
 ) -> None:
     client = Client(MEILISEARCH_URL, MEILISEARCH_API_KEY)
     client.create_index(
         index_name,
         primary_key="id",
         settings=MeilisearchSettings(
-            ranking_rules=["sort", "words", "typo", "proximity", "attribute", "exactness"],
+            ranking_rules=[
+                "sort",
+                "words",
+                "typo",
+                "proximity",
+                "attribute",
+                "exactness",
+            ],
             sortable_attributes=["title", "country"],
             searchable_attributes=[
                 "title",
@@ -65,8 +79,12 @@ def index_data(
         dir_okay=False,
         help="Path to the data file",
     ),
-    index_name: str = Option("wine", "-i", "--index-name", help="The name to use for the index"),
-    wait: bool = Option(False, "-w", "--wait", help="Wait for the data to finish indexing"),
+    index_name: str = Option(
+        "wine", "-i", "--index-name", help="The name to use for the index"
+    ),
+    wait: bool = Option(
+        False, "-w", "--wait", help="Wait for the data to finish indexing"
+    ),
 ) -> None:
     if data_path:
         data = srsly.read_gzip_jsonl(data_path)
@@ -83,7 +101,9 @@ def search(
     query: str = Argument(..., help="The search to preform"),
     limit: int = Option(20, "-l", "--limit", help="Limit the number of search results"),
     sort: List[str] = Option(None, "-s", "--sort", help="Sort order for the results"),
-    index_name: str = Option("wine", "-i", "--index-name", help="The name to use for the index"),
+    index_name: str = Option(
+        "wine", "-i", "--index-name", help="The name to use for the index"
+    ),
 ) -> None:
     client = Client(MEILISEARCH_URL, MEILISEARCH_API_KEY)
     index = client.index(index_name)

src/meilisearch_with_cli/python/test_main.py

@@ -118,7 +118,9 @@ def test_index_data(client, tmp_path, wine_data, index_name):
     index = client.create_index(index_name)
     file_path = tmp_path / "data.jsonl.gz"
     srsly.write_gzip_jsonl(file_path, wine_data)
-    CliRunner().invoke(app, ["index-data", "-d", str(file_path), "-w", "-i", index_name])
+    CliRunner().invoke(
+        app, ["index-data", "-d", str(file_path), "-w", "-i", index_name]
+    )
     documents = index.get_documents()
     assert documents.total == 5
 

src/mock_data/python/main.py

@@ -48,7 +48,9 @@ def get_locations(filename: Path) -> list[Location]:
     return locations
 
 
-def generate_fake_persons(faker: Faker, locations: list[Location], num: int) -> list[Person]:
+def generate_fake_persons(
+    faker: Faker, locations: list[Location], num: int
+) -> list[Person]:
     # Generate fake persons with the desired structure and return a list of mappings
     profiles = []
     for i in range(1, num + 1):

src/parallelism/python/analyze.py

@@ -6,7 +6,9 @@ def get_result() -> pl.DataFrame:
     articles2 = pl.read_csv("../data/articles2_processed.csv")
     articles3 = pl.read_csv("../data/articles3_processed.csv")
     # Combine the data into a single DataFrame
-    result = pl.concat([articles1, articles2, articles3]).unique(subset=["id"]).sort("id")
+    result = (
+        pl.concat([articles1, articles2, articles3]).unique(subset=["id"]).sort("id")
+    )
     print(f"Number of articles: {result.height}")
     return result
 

src/parallelism/python/main.py

@@ -52,7 +52,9 @@ def _clean_text(self, text: str) -> str:
             "ll": " will",
         }
         # Replace contractions with full words
-        formatted_text = re.sub(r"([’'])(s|d|ll)", lambda x: suffix_mapping[x.group(2)], text_lower)
+        formatted_text = re.sub(
+            r"([’'])(s|d|ll)", lambda x: suffix_mapping[x.group(2)], text_lower
+        )
         # Remove non-alphabetic characters
         result = re.sub(r"[^a-zA-Z\s]", "", formatted_text)
         return result
@@ -61,7 +63,9 @@ def calculate_counts(self, data: JsonBlob) -> JsonBlob:
         text = data["content"]
         result = self._clean_text(text)
         tokens = result.split()
-        data["num_male_pronouns"], data["num_female_pronouns"] = count_gendered_pronouns(tokens)
+        data["num_male_pronouns"], data["num_female_pronouns"] = (
+            count_gendered_pronouns(tokens)
+        )
         data.pop("content")
         return data
 
@@ -84,7 +88,14 @@ def count_gendered_pronouns(tokens: list[str]) -> tuple[int, int]:
 
 def write_results(data: list[JsonBlob], file_path: Path, file_name: str) -> None:
     output_path = file_path / file_name
-    fieldnames = ["id", "publication", "author", "date", "num_male_pronouns", "num_female_pronouns"]
+    fieldnames = [
+        "id",
+        "publication",
+        "author",
+        "date",
+        "num_male_pronouns",
+        "num_female_pronouns",
+    ]
     with open(output_path, "w") as f:
         writer = csv.DictWriter(f, fieldnames=fieldnames)
         writer.writeheader()
@@ -94,7 +105,8 @@ def write_results(data: list[JsonBlob], file_path: Path, file_name: str) -> None
 def main(file_path: Path, batch_size: int) -> None:
     # Get all .csv files in the directory
     files = [
-        Path(f"../data/{file}") for file in ("articles1.csv", "articles2.csv", "articles3.csv")
+        Path(f"../data/{file}")
+        for file in ("articles1.csv", "articles2.csv", "articles3.csv")
     ]
     processor = BatchProcessor(batch_size)
     for input_file in files:

src/regex_json/python/main.py

@@ -42,7 +42,9 @@ def run() -> list[dict[str, Any]]:
         raise ValueError("No data found")
 
     for company in data:
-        annual_revenue_lower, annual_revenue_upper = calculate_range(company["annual_revenue"])
+        annual_revenue_lower, annual_revenue_upper = calculate_range(
+            company["annual_revenue"]
+        )
         # Append to existing dict
         company["annual_revenue_lower"] = annual_revenue_lower
         company["annual_revenue_upper"] = annual_revenue_upper

src/simple_csv/README.md

@@ -56,47 +56,39 @@ Yakutsk,Russia,-37.5,-38.6
 
 ## Python Setup
 
-Install the dependencies in a virtual environment via `requirements.txt`.
-
-```bash
-# First time setup
-python -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt
-
-# For subsequent runs, simply activate the environment
-source venv/bin/activate
-```
+Install dependencies via the `uv` package manager. All dependencies are listed in `pyproject.toml`.
+For this project, we only need the standard library of Python, so there are no dependencies to install.
 
 ### Run script
 
 ```bash
-python main.py
+uv run main.py
 ```
 
 ### Run tests
 
 ```bash
-$ pytest -v
-================================================================================================ test session starts ================================================================================================
-platform darwin -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0 -- /Users/prrao/code/rustinpieces/.venv/bin/python3.11
+$ uv run pytest -v
+===================================================================================================== test session starts =====================================================================================================
+platform darwin -- Python 3.12.5, pytest-8.3.2, pluggy-1.5.0 -- /Users/prrao/.pyenv/versions/3.12.5/bin/python3.12
 cachedir: .pytest_cache
-rootdir: /Users/prrao/code/rustinpieces/pieces/simple_csv/python
-plugins: Faker-21.0.1
+rootdir: /Users/prrao/code/rustinpieces/src/simple_csv/python
+configfile: pyproject.toml
+plugins: anyio-4.4.0
 collected 10 items
 
-test_main.py::test_read_and_modify PASSED                                                                                                                                                                     [ 10%]
-test_main.py::test_modify_fields PASSED                                                                                                                                                                       [ 20%]
-test_main.py::test_convert_f_to_c[70.2-21.2] PASSED                                                                                                                                                           [ 30%]
-test_main.py::test_convert_f_to_c[-14.1--25.6] PASSED                                                                                                                                                         [ 40%]
-test_main.py::test_convert_f_to_c[25.3--3.7] PASSED                                                                                                                                                           [ 50%]
-test_main.py::test_convert_f_to_c[29.6--1.3] PASSED                                                                                                                                                           [ 60%]
-test_main.py::test_convert_f_to_c[52.1-11.2] PASSED                                                                                                                                                           [ 70%]
-test_main.py::test_convert_f_to_c[18.7--7.4] PASSED                                                                                                                                                           [ 80%]
-test_main.py::test_convert_f_to_c[-37.5--38.6] PASSED                                                                                                                                                         [ 90%]
-test_main.py::test_write_csv PASSED                                                                                                                                                                           [100%]
-
-================================================================================================ 10 passed in 0.02s =================================================================================================
+test_main.py::test_read_and_modify PASSED                                                                                                                                                                               [ 10%]
+test_main.py::test_modify_fields PASSED                                                                                                                                                                                 [ 20%]
+test_main.py::test_convert_f_to_c[70.2-21.2] PASSED                                                                                                                                                                     [ 30%]
+test_main.py::test_convert_f_to_c[-14.1--25.6] PASSED                                                                                                                                                                   [ 40%]
+test_main.py::test_convert_f_to_c[25.3--3.7] PASSED                                                                                                                                                                     [ 50%]
+test_main.py::test_convert_f_to_c[29.6--1.3] PASSED                                                                                                                                                                     [ 60%]
+test_main.py::test_convert_f_to_c[52.1-11.2] PASSED                                                                                                                                                                     [ 70%]
+test_main.py::test_convert_f_to_c[18.7--7.4] PASSED                                                                                                                                                                     [ 80%]
+test_main.py::test_convert_f_to_c[-37.5--38.6] PASSED                                                                                                                                                                   [ 90%]
+test_main.py::test_write_csv PASSED                                                                                                                                                                                     [100%]
+
+===================================================================================================== 10 passed in 0.01s ======================================================================================================
 ```
 
 ## Rust Setup

src/simple_csv/python/.python-version

@@ -0,0 +1 @@
+3.12