docker build 构建修改
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91
deepdoc/parser/resume/entities/schools.py
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91
deepdoc/parser/resume/entities/schools.py
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import json
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import re
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import 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(
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os.path.join(current_file_path, "res/schools.csv"), sep="\t", header=0
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).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",encoding="utf-8"))
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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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line = f.readline()
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if not line:
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break
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line = line.strip("\n").split(",")
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try:
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nm, rk = line[0].strip(), int(line[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:
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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 (
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tks
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and re.match(r".*[a-zA-Z]$", tks[-1])
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and re.match(r"[a-zA-Z]", t)
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and tks
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):
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tks[-1] = tks[-1] + " " + t
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else:
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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:
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return
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if isinstance(nm, list):
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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)]
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if res.empty:
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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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