Пример #1
0
def store_all_candidates():
    def get_county(constituency):
        if constituency[2:5] == "原住民":
            return "原住民"
        else:
            return constituency[0:3]

    query = ManualCandidate.select()
    candidates = [{
        "county": get_county(candidate.constituency),
        "constituency": candidate.constituency,
        "name": candidate.name,
        "party": candidate.party,
        "photo": candidate.photo,
        "experience": candidate.experience,
        "currentLegislator": candidate.currentLegislator,
    } for candidate in query]
    with open("../data/static/regional_candidates.json", "w") as fp:
        json.dump(candidates, fp, ensure_ascii=False, indent=2)
Пример #2
0
df = pd.read_csv("../data/manual/2020candidate_regional.csv")
df.columns = [
    "constituency",  # 選區
    "name",  # 姓名
    "fbPage",  # FB 粉絲專頁
    "fbPersonalPage",  # FB 粉絲專頁
    "photo",  # 照片
    "party",  # 政黨
    "currentLegislator",  # 現任立委
    "beenLegislator",  # 曾任立委
    "dayOfBirth",  # 生日
    "age",  # 年齡
    "wiki",  # wiki
    "education",  # 學歷
    "educationConn",  # 學歷連結
    "experience",  # 經歷
    "experienceConn",  # 經歷連結
    "politics",  # 政見
    "politicsConn",  # 政見連結
    "other",
]
data = df.replace({np.nan: None}).to_dict(orient="records")
data = [{
    **d,
    "currentLegislator": True if d["currentLegislator"] == "Y" else False,
    "beenLegislator": True if d["beenLegislator"] == "Y" else False,
} for d in data]
ManualCandidate.drop_table()
ManualCandidate.create_table()
ManualCandidate.insert_many(data).execute()