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import datetime |
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def refactor(cv): |
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for n in ["raw_txt", "parser_name", "inference", "ori_text", "use_time", "time_stat"]: |
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if n in cv and cv[n] is not None: del cv[n] |
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cv["is_deleted"] = 0 |
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if "basic" not in cv: cv["basic"] = {} |
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if cv["basic"].get("photo2"): del cv["basic"]["photo2"] |
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for n in ["education", "work", "certificate", "project", "language", "skill", "training"]: |
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if n not in cv or cv[n] is None: continue |
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if type(cv[n]) == type({}): cv[n] = [v for _, v in cv[n].items()] |
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if type(cv[n]) != type([]): |
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del cv[n] |
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continue |
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vv = [] |
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for v in cv[n]: |
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if "external" in v and v["external"] is not None: del v["external"] |
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vv.append(v) |
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cv[n] = {str(i): vv[i] for i in range(len(vv))} |
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basics = [ |
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("basic_salary_month", "salary_month"), |
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("expect_annual_salary_from", "expect_annual_salary"), |
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] |
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for n, t in basics: |
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if cv["basic"].get(n): |
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cv["basic"][t] = cv["basic"][n] |
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del cv["basic"][n] |
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work = sorted([v for _, v in cv.get("work", {}).items()], key=lambda x: x.get("start_time", "")) |
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edu = sorted([v for _, v in cv.get("education", {}).items()], key=lambda x: x.get("start_time", "")) |
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if work: |
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cv["basic"]["work_start_time"] = work[0].get("start_time", "") |
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cv["basic"]["management_experience"] = 'Y' if any( |
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[w.get("management_experience", '') == 'Y' for w in work]) else 'N' |
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cv["basic"]["annual_salary"] = work[-1].get("annual_salary_from", "0") |
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for n in ["annual_salary_from", "annual_salary_to", "industry_name", "position_name", "responsibilities", |
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"corporation_type", "scale", "corporation_name"]: |
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cv["basic"][n] = work[-1].get(n, "") |
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if edu: |
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for n in ["school_name", "discipline_name"]: |
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if n in edu[-1]: cv["basic"][n] = edu[-1][n] |
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cv["basic"]["updated_at"] = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") |
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if "contact" not in cv: cv["contact"] = {} |
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if not cv["contact"].get("name"): cv["contact"]["name"] = cv["basic"].get("name", "") |
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return cv |