193 lines
6.5 KiB
Python
193 lines
6.5 KiB
Python
import os
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import mysql.connector
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TABLE_NAME = 'crispr_papers_info'
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input('你确定TABLE_NAME是{}吗？'.format(TABLE_NAME))
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# phosphorus_synthesis
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excels_dir = os.path.join(os.path.dirname(__file__), 'CRISPR/CRISPR_engineered')
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if_file_path = os.path.join(os.path.dirname(__file__), 'CRISPR/2023JCR.xlsx')
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input('你确定导入文件夹是{}吗？'.format(excels_dir))
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# MySQL connection setup
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connection = mysql.connector.connect(
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host='100.84.94.73',
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user='metadata_mat_papers',
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password='siat-mic',
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database='metadata_mat_papers'
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)
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cursor = connection.cursor()
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# Function to check if a table exists
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def check_table_exists(table_name):
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cursor.execute(f"""
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SELECT COUNT(*)
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FROM information_schema.tables
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WHERE table_schema = DATABASE()
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AND table_name = '{table_name}'
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""")
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return cursor.fetchone()[0] == 1
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# Function to create the table if it doesn't exist
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def create_table(table_name):
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if not check_table_exists(table_name):
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query = f"""
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CREATE TABLE IF NOT EXISTS `{table_name}` (
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doi VARCHAR(255) PRIMARY KEY,
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unique_id VARCHAR(255),
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author TEXT,
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title TEXT,
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journal VARCHAR(255),
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year INT,
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volume VARCHAR(50),
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number VARCHAR(50),
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pages VARCHAR(50),
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month VARCHAR(50),
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issn VARCHAR(50),
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eissn VARCHAR(50),
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researcher_id TEXT,
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if2023 VARCHAR(50),
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if5 VARCHAR(50),
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journal_index VARCHAR(50),
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jcr_quartile VARCHAR(50),
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orcid TEXT,
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early_access_date VARCHAR(50),
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scihub_downlowded VARCHAR(50),
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convert2md VARCHAR(50),
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pdf_url TEXT,
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md_url TEXT,
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abstract TEXT,
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image_url JSON,
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en_text_content LONGTEXT,
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cited_reference_count INT,
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doi_link TEXT,
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research_areas TEXT,
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unique_wos_id VARCHAR(255)
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);
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"""
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cursor.execute(query)
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def record_exists(doi, table_name):
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query = f"SELECT COUNT(*) FROM `{table_name}` WHERE doi = %s"
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cursor.execute(query, (doi,))
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count = cursor.fetchone()[0]
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return count > 0
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# Function to insert a record into the MySQL database
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def insert_record(entry, table_name):
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# 定义列名列表
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columns = [
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'doi', 'unique_id', 'author', 'title', 'journal', 'year', 'volume',
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'number', 'pages', 'month', 'issn', 'eissn', 'researcher_id', 'if2023', 'if5', 'journal_index', 'jcr_quartile',
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'orcid', 'early_access_date', 'scihub_downlowded', 'convert2md', 'pdf_url', 'md_url', 'abstract', 'image_url',
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'text_content', 'cited_reference_count', 'doi_link', 'research_areas', 'unique_wos_id'
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]
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# 构建SQL查询语句
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placeholders = ', '.join(['%s'] * len(columns))
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query = f"""
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INSERT INTO `{table_name}` ({', '.join(columns)})
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VALUES ({placeholders})
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"""
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values = (
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entry.get('doi'),
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entry.get('unique-id'),
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entry.get('author'),
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entry.get('title'),
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entry.get('journal'),
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entry.get('year'),
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entry.get('volume'),
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entry.get('number', None),
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entry.get('pages', None),
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entry.get('month', None),
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entry.get('issn', None),
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entry.get('eissn', None),
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entry.get('researcherid-numbers', None),
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entry.get('if2023', None),
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entry.get('if5', None),
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entry.get('journal_index', None),
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entry.get('jcr_quartile', None),
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entry.get('ocrid-numbers', None),
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entry.get('earlyaccessdate', None),
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entry.get('scihub_downlowded', None),
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entry.get('convert2md', None),
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entry.get('pdf_url', None),
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entry.get('md_url', None),
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entry.get('abstract', None),
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entry.get('image_url', None),
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entry.get('text_content', None),
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entry.get('cited_reference_count', None),
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entry.get('doi_link', None),
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entry.get('research_areas', None),
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entry.get('unique_wos_id', None)
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)
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cursor.execute(query, values)
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# 用pandas打开excel文件
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import pandas as pd
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df = pd.read_excel(if_file_path)
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# 替换所有的nan为None
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df = df.replace({pd.NA: None})
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# Create the table if it doesn't exist
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create_table(TABLE_NAME)
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excels_file_list = []
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for file in os.listdir(excels_dir): # os.listdir('溶剂热文献-230505-swx-V3')
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if file.endswith('.xls'):
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excels_file_list.append(os.path.splitext(file)[0])
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for excels_file in excels_file_list:
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print(os.path.join(excels_dir, excels_file + '.xls'))
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# 指定Excel文件路径
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file_path = os.path.join(excels_dir, excels_file + '.xls')
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# 读取Excel文件
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excel_df = pd.read_excel(file_path)
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# 替换所有的nan为None
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excel_df = excel_df.replace({pd.NA: None})
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# 显示DataFrame的前几行
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# print(df.head(5))
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for i in range(len(excel_df)):
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entry = dict()
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entry['doi'] = str(excel_df.loc[i, 'DOI'])
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entry['title'] = str(excel_df.loc[i, 'Article Title'])
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entry['journal'] = str(excel_df.loc[i, 'Source Title'])
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entry['abstract'] = str(excel_df.loc[i, 'Abstract'])
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entry['cited_reference_count'] = int(excel_df.loc[i, 'Cited Reference Count'])
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entry['year'] = int(excel_df.loc[i, 'Publication Year'])
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entry['doi_link'] = str(excel_df.loc[i, 'DOI Link'])
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entry['research_areas'] = str(excel_df.loc[i, 'Research Areas'])
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entry['unique_wos_id'] = str(excel_df.loc[i, 'UT (Unique WOS ID)'])
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journal = entry.get('journal')
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if journal is not None:
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journal_lower = journal.lower() # 将期刊名称转为小写以进行不区分大小写的匹配
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matching_journal = df[df['JournalName'].str.lower() == journal_lower] # 在DataFrame中查找该期刊
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if not matching_journal.empty:
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entry['if2023'] = matching_journal['IF2023'].values[0]
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entry['if5'] = matching_journal['IF5'].values[0]
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entry['journal_index'] = matching_journal['INDEX'].values[0]
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entry['jcr_quartile'] = matching_journal['Quartile'].values[0]
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doi = entry.get('doi')
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# 先检查记录是否存在，同时doi不能为空
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if not record_exists(doi, TABLE_NAME) and doi is not None:
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insert_record(entry, TABLE_NAME)
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# Commit the changes and close the connection
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connection.commit()
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cursor.close()
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connection.close()
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print("Data has been inserted into the database!") |