init

.github/workflows/docker.yaml

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+name: Docker
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+permissions:
+  actions: write
+  contents: read
+  packages: write
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build:
+    name: 🐳 Build
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+    steps:
+      - name: ⬇️ Checkout repo
+        uses: actions/checkout@v4
+        with:
+          access_token: ${{ github.token }}
+
+      - name: 🐳 Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+
+      - name: 🔑 Github Registry Auth
+        uses: docker/login-action@v2
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: 👀 Extract metadata
+        id: meta
+        uses: docker/metadata-action@v4
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+
+      - name: 🐳 Build
+        uses: docker/build-push-action@v3
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          build-args: |
+            COMMIT_SHA=${{ github.sha }}
+            BRANCH=${{ github.head_ref || github.ref_name }} 

.gitignore

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+*.db
+*.json
+*.csv
+__pycache__

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY ./app /code/app
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]

LICENSE

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+MIT License
+
+Copyright (c) 2023 Niklas Marion
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

main.py

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+from typing import Union
+
+from fastapi import FastAPI
+import sqlite3
+from typing import Optional
+
+app = FastAPI(title="DLV", docs_url="/swagger",
+              openapi_url="/swagger-json", redoc_url=None)
+
+
+def create_connection():
+    conn = sqlite3.connect("file:stammdaten.db?mode=ro",
+                           uri=True, isolation_level='IMMEDIATE')
+    return conn
+
+
+def query_db(query, args=(), one=False):
+    cur = create_connection().cursor()
+    cur.execute(query, args)
+    r = [dict((cur.description[i][0], value)
+              for i, value in enumerate(row)) for row in cur.fetchall()]
+    cur.connection.close()
+    return (r[0] if r else None) if one else r
+
+
+@app.get("/clubs/{lv}")
+def read_clubs_by_lv(lv: str, q: Union[str, None] = None):
+    query = f"SELECT * FROM Club WHERE lv = '{lv}'"
+    clubs = query_db(query)
+    return clubs
+
+
+@app.get("/lv")
+def read_lv():
+    query = f"SELECT DISTINCT lv FROM Club"
+    connection = create_connection()
+    lv = connection.execute(query).fetchall()
+    connection.close()
+    lv = [item for t in lv for item in t]
+    return lv
+
+
+@app.get("/athletes/{guid}")
+def get_athlete_by_guid(guid: str):
+    query = f"SELECT * FROM Athlete WHERE guid = '{guid}'"
+    athlete = query_db(query)
+    if (len(athlete) == 0):
+        return None
+    return athlete[0]
+
+
+@app.get("/athletes")
+def get_athletes(
+    firstname: Optional[str] = None,
+    lastname: Optional[str] = None,
+    clubId: Optional[str] = None,
+    worldAthleticsId: Optional[int] = None,
+    lv: Optional[str] = None,
+    limit: Optional[int] = 100,
+    page: Optional[int] = 0,
+):
+    query = "SELECT Athlete.*,C.name as club,lv FROM Athlete JOIN main.Club C on Athlete.clubId = C.id"
+
+    conditions = []
+
+    if firstname:
+        conditions.append(f"firstname LIKE '%{firstname}%'")
+    if lastname:
+        conditions.append(f"lastname LIKE '%{lastname}%'")
+    if clubId:
+        conditions.append(f"clubId = '{clubId}'")
+    if worldAthleticsId:
+        conditions.append(f"worldAthleticsId = '{worldAthleticsId}'")
+    if lv:
+        conditions.append(f"lv = '{lv}'")
+
+    if conditions:
+        query += " WHERE " + " AND ".join(conditions)
+
+    if (limit > 100):
+        limit = 100
+
+    query += f" LIMIT {limit} OFFSET {page * limit}"
+
+    athletes = query_db(query)
+    return athletes

requirements.txt

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+pandas==2.1.4
+fastapi==0.105.0
+uvicorn[standard]==0.25.0

taf2db.py

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+import pandas as pd
+import sqlite3
+import os
+from pathlib import Path
+import argparse
+
+def main(taf_path) -> None:
+    conn = sqlite3.connect("stammdaten.db")
+
+    clubs_path = Path(taf_path).joinpath("Settings/base_clubs.json")
+
+    with open(clubs_path, encoding="utf-16-le", errors='ignore') as f:
+        data = f.read()
+        data = data[11:-1]
+        with open('clubs.json', 'w', encoding="utf-8") as f:
+            f.write(data)
+
+        df = pd.read_json('clubs.json', encoding="utf-8-sig")
+        df = df[["LV", "Name", "ShortName", "Code", "Type"]]
+        df['Type'] = df['Type'].apply(lambda x: "CLUB" if x == 0 else "LG")
+
+        df = df.rename(columns={"LV": "lv", "Name": "name", "ShortName": "shortName", "Code": "id", "Type": "type"})
+
+        df.to_sql('Club', conn, if_exists='replace', index=False)
+        os.remove('clubs.json')
+
+    athletes_path = Path(taf_path).joinpath("Settings/base_athletes.json")
+
+    with open(athletes_path, encoding="utf-16-le", errors='ignore') as f:
+        data = f.read()
+        data = data[11:-1]
+        with open('athletes.json', 'w', encoding="utf-8") as f:
+            f.write(data)
+
+        df = pd.read_json('athletes.json', encoding="utf-8-sig")
+        df['WorldAthleticsId'] = df['WorldAthleticsId'].fillna(0)
+
+        df = df[df['Code'] != '']
+        df = df[df['ExternalId'].notnull()]
+
+        df = df[["ExternalId", "Code", "Firstname", "Lastname", "ClubCode", "Nation", "Yob", "Gender", "WorldAthleticsId"]]
+
+        df['WorldAthleticsId'] = df['WorldAthleticsId'].apply(lambda x: None if x == 0 else int(x))
+        df["Gender"] = df['Gender'].apply(lambda x: "M" if x == 0 else "W")
+
+        df = df.rename(columns={"Code": "id", "ExternalId": "guid", "Firstname": "firstname", "Lastname": "lastname", "ClubCode": "clubId", "Nation": "country", "Yob": "birthyear", "Gender": "sex", "WorldAthleticsId": "worldAthleticsId" })
+
+        df.to_sql('Athlete', conn, if_exists='replace', index=False)
+        os.remove('athletes.json')
+
+
+    conn.execute("DELETE FROM Athlete WHERE guid IN (SELECT guid FROM Athlete JOIN main.Club C on Athlete.clubId = C.id WHERE lv='')")
+    conn.execute("DELETE FROM Club WHERE lv=''");
+    conn.commit()
+    conn.close()
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--taf", required=True, dest="taf_path", help="Path to TAF folder")
+    args = parser.parse_args()
+
+    main(args.taf_path)