mysql recorded papers

main.py

@@ -1,7 +1,7 @@
 from fastapi import FastAPI
 
 from config import __CONFIG__
-# import mysql_connector
+import mysql_connector
 from fastgpt_uploader import upload2fastgpt
 from semanticscholar import search_paper
 
@@ -12,7 +12,8 @@ def query(query:str):
     list = search_paper(query)
     for i in list:
         res.append({
-            'id':'','datasetId':__CONFIG__['fastgpt_setId'], 
+            'id':i['paperId'],
+            'datasetId':__CONFIG__['fastgpt_setId'],
             'collectionId':__CONFIG__['fastgpt_colId'], 
             'sourceName':'Semantic Scholar',
             'sourceId?':'',
@@ -25,16 +26,23 @@ def query(query:str):
                  }
              ]
              })
-        print(i['title'])
     return res
 
 @app.get("/fastdoi")
 async def get_reference(questions):
     res = query(questions)
-    upload2fastgpt(res)
+    new = []
-    return res
+    print(res)
+    for i in res:
+        if not mysql_connector.is_loaded(i['id']):
+            new.append(i)
+    if(upload2fastgpt(new)):
+        for i in new:
+            mysql_connector.new_load(i['id'])
+            print('new: '+i['q'])
+    return new
 
 if __name__ == '__main__':
     import uvicorn
     uvicorn.run(app, host="127.0.0.1", port=8964)
-    # mysql_connector.end_mysql()
+    mysql_connector.end_mysql()

mysql_connector.py

@@ -23,3 +23,13 @@ def end_mysql():
         cnx.close()
     except:
         print("No Mysql Opened.")
+
+def is_loaded(paperId):
+    query = ("SELECT COUNT(*) FROM uploaded_papers WHERE paperId = %s")
+    cursor.execute(query, (paperId,))
+    return cursor.fetchone()[0] > 0
+
+def new_load(paperId):
+    query = ("INSERT INTO uploaded_papers (paperId) VALUES (%s)")
+    cursor.execute(query, (paperId,))    
+    cnx.commit()