記錄瞬間
前段時間為了解決一些實際問題,引出了要對json字符串進行比對的需求。
覺得有意義,作以簡單記錄。
# 比對數據 def compare_data(set_key, src_data, dst_data, noise_data, num): if isinstance(src_data, dict) and isinstance(dst_data, dict): """若為dict格式""" for key in dst_data: if key not in src_data: print("src不存在這個key") noise_data[key] = "src不存在這個key" for key in src_data: if key in dst_data: if src_data[key] != dst_data[key] and num == 1: noise_data[key] = "容忍不等" if src_data[key] != dst_data[key] and num == 2: noise_data[key] = {} noise_data[key]["primary"] = src_data[key] noise_data[key]["candidate"] = dst_data[key] """遞歸""" compare_data(key, src_data[key], dst_data[key], noise_data, num) else: noise_data[key] = ["dst不存在這個key"] elif isinstance(src_data, list) and isinstance(dst_data, list): """若為list格式""" if len(src_data) != len(dst_data) and len(set_key) != 0: print("list len: '{}' != '{}'".format(len(src_data), len(dst_data))) noise_data[set_key]["primary"] = str(src_data) noise_data[set_key]["candidate"] = str(dst_data) return if len(src_data) == len(dst_data) and len(src_data) > 1: for index in range(len(src_data)): for src_list, dst_list in zip(sorted(src_data[index]), sorted(dst_data[index])): """遞歸""" compare_data("", src_list, dst_list, noise_data, num) else: for src_list, dst_list in zip(sorted(src_data), sorted(dst_data)): """遞歸""" compare_data("", src_list, dst_list, noise_data, num) else: if str(src_data) != str(dst_data): print("src_data", src_data, "dst_data", dst_data) return noise_data
代碼實現了出入的src_data、dst_data兩個字符串,noise_data作為記錄兩個字符串的差異進行返回。
set_key是對json串中存在key值對應的list列表時,比對了列表長度不等,我們認為不需要在對列表中的具體元素進行對比。
num區分第一次對比和第二次對比時需要記錄的選項。
# 分析獲取的數據,並清空存儲 def analyse_data(): noise_data1 = {} mark_result = compare_data("", response["primary"], response["secondary"], noise_data1, 1) noise_data2 = {} comp_result = compare_data("", response["primary"], response["candidate"], noise_data2, 2) td1 = "<tr><td style=\"background-color: #fcf8e3\">" td2 = "</td><td style=\"width: 45%;padding: 8px;background-color: " \ "#dff0d8;line-height: 1.42857143;vertical-align: left;\"><pre style=\"white-space: pre-wrap!important;" \ "word-wrap: break-word!important;*white-space:normal!important;\">" diff_td2 = "</td><td style=\"width: 45%;padding: 8px;background-color: " \ "#dff0d8;line-height: 1.42857143;vertical-align: left;\">" diff_td3 = "</td><td style=\"width: 45%;padding: 8px;background-color: " \ "#dff0d8;line-height: 1.42857143;vertical-align: left;\">" with open("./result.html", mode="a", encoding="UTF-8") as f: print(td1 + "Response : ", td2 + json.dumps(response["primary"], indent=4, ensure_ascii=False) + "</pre>" + td2 + json.dumps(response["candidate"], indent=4, ensure_ascii=False) + "</pre></td></tr>", file=f) print("mark = ", mark_result) print("comp = ", comp_result) if (len(comp_result) - len(mark_result)) > 0: diff_td = "<tr><td rowspan=\"" + str(len(comp_result) - len(mark_result)) + "\" style=\"background-color: #bf466a\">" print("diff_td = ", diff_td) with open("./result.html", mode="a", encoding="UTF-8") as f: print(diff_td + "Diff Result ", file=f) for key in comp_result: if key not in mark_result: try: with open("./result.html", mode="a", encoding="UTF-8") as f: print(diff_td2 + key + "->" + str(noise_data2[key]["primary"]) + diff_td3 + str(noise_data2[key]["candidate"]) + "</td></tr><tr>", file=f) # print(key + " = A:" + str(noise_data2[key]["primary"]) + "<->D:" + str(noise_data2[key]["candidate"])
# + " Maybe a new bug.", file=f) print(key, "有可能是bug,要檢查了。", str(noise_data2[key]["primary"]), str(noise_data2[key]["candidate"])) except Exception as e: with open("./result.html", mode="a", encoding="UTF-8") as f: print(td1 + "Diff Result : ", td2 + str(noise_data2[key]["primary"]) + "</pre>" + td2 + str(noise_data2[key]["candidate"]) + "</pre></td></tr>", file=f) # print(key + " = A:" + str(noise_data2[key]["primary"]) + "<->D:" + str(noise_data2[key]["candidate"])
# + " Maybe a new bug.", file=f) print(e) noise_data1.clear() noise_data2.clear() response.clear()
這里的response作為全局的變量進行使用。我們在獲取了噪音數據noise_data1和noise_data2時,對噪音數據進行比對。
添加到result.html網頁中,作為呈現的文本。
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