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63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
# -*- coding: UTF-8 -*-
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import os, json,re,copy
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import pandas as pd
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current_file_path = os.path.dirname(os.path.abspath(__file__))
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TBL = pd.read_csv(os.path.join(current_file_path, "res/schools.csv"), sep="\t", header=0).fillna("")
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TBL["name_en"] = TBL["name_en"].map(lambda x: x.lower().strip())
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GOOD_SCH = json.load(open(os.path.join(current_file_path, "res/good_sch.json"), "r"))
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GOOD_SCH = set([re.sub(r"[,. &（）()]+", "", c) for c in GOOD_SCH])
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def loadRank(fnm):
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global TBL
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TBL["rank"] = 1000000
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with open(fnm, "r",encoding='UTF-8') as f:
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while True:
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l = f.readline()
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if not l:break
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l = l.strip("\n").split(",")
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try:
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nm,rk = l[0].strip(),int(l[1])
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#assert len(TBL[((TBL.name_cn == nm) | (TBL.name_en == nm))]),f"<{nm}>"
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TBL.loc[((TBL.name_cn == nm) | (TBL.name_en == nm)), "rank"] = rk
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except Exception as e:
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pass
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loadRank(os.path.join(current_file_path, "res/school.rank.csv"))
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def split(txt):
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tks = []
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for t in re.sub(r"[ \t]+", " ",txt).split(" "):
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if tks and re.match(r".*[a-zA-Z]$", tks[-1]) and \
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re.match(r"[a-zA-Z]", t) and tks:
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tks[-1] = tks[-1] + " " + t
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else:tks.append(t)
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return tks
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def select(nm):
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global TBL
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if not nm:return
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if isinstance(nm, list):nm = str(nm[0])
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nm = split(nm)[0]
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nm = str(nm).lower().strip()
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nm = re.sub(r"[(（][^()（）]+[)）]", "", nm.lower())
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nm = re.sub(r"(^the |[,.&（）();；·]+|^(英国|美国|瑞士))", "", nm)
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nm = re.sub(r"大学.*学院", "大学", nm)
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tbl = copy.deepcopy(TBL)
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tbl["hit_alias"] = tbl["alias"].map(lambda x:nm in set(x.split("+")))
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res = tbl[((tbl.name_cn == nm) | (tbl.name_en == nm) | (tbl.hit_alias == True))]
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if res.empty:return
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return json.loads(res.to_json(orient="records"))[0]
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def is_good(nm):
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global GOOD_SCH
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nm = re.sub(r"[(（][^()（）]+[)）]", "", nm.lower())
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nm = re.sub(r"[''`‘’“”,. &（）();；]+", "", nm)
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return nm in GOOD_SCH
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